RSI Bands With RSI - ATR Trend LineRSI Bands With RSI - ATR Trend Line (Smoothed Baseline)
Overview
A trend-following tool that fuses RSI-based regime detection with a smoothed baseline and ATR bands. Trend line aims to stay with the RSI move, cut random noise, and flip cleanly. The line draws green in bulls and red in bears; signals fire only on candle close confirmed flips.
Key Features
✅ Dynamic Trend Detection
RSI (>50 / <50) sets bullish/bearish regime
Smoothed baseline adapts to price while damping whipsaw
ATR-based bands expand/contract with volatility
✅ Precise Signal Generation
Buy when trend flips to bullish (close confirms above the upper band)
Sell when trend flips to bearish (close confirms below the lower band)
Flips require a real band break → fewer false transitions
✅ Visual Clarity
Green line = bullish trend, Red line = bearish trend
✅ Customizable Settings
RSI Length (default 14)
Baseline Smoothing (default 26)
ATR Length (default 14)
ATR Multiplier (default 1.4)
Toggles for Signals and Labels
✅ TradingView Alerts
Built-in Buy & Sell alerts (recommend Once per bar close)
How It Works
Algorithm Logic
RSI Regime: RSI above/below 50 sets bull/bear. At exactly 50, the prior target is carried forward.
Target & Smoothing: A per-bar target is built from the bar’s range and RSI, then smoothed with an EMA-style filter (Baseline Smoothing) to form the baseline.
ATR Bands: Upper/Lower = baseline ± (ATR × Multiplier).
Flip Rule (Supertrend-like):
Close above upper band → bullish flip; trend line tracks the lower band (green).
Close below lower band → bearish flip; trend line tracks the upper band (red).
Between bands → prior trend line persists.
Signals/Alerts: A flip event generates a Buy/Sell signal and alert.
Best Use Cases
Trending Markets – Built to ride sustained moves in either direction.
Multiple Timeframes – Works from intraday to higher TFs; higher TFs usually produce cleaner flips.
Various Asset Classes – Forex, Indices, Stocks, Crypto, Commodities; ATR adapts to volatility.
Recommended Settings
Conservative (Lower Frequency)
RSI 14–20 • Baseline 34 • ATR 14–21 • Multiplier 1.8–2.2
Use for swing/position trading; calmer signal stream.
Balanced (Default)
RSI 14 • Baseline 26 • ATR 14 • Multiplier 1.4
Good general-purpose setup for swing or active intraday.
Aggressive (Higher Frequency)
RSI 10–14 • Baseline 13–21 • ATR 10–14 • Multiplier 1.1–1.3
For scalping/day trading; earlier but noisier flips.
🎨 Visual Elements
RSI Smooth baseline (soft blue)
Upper/Lower ATR Bands (faint blue)
Trend Line (Bull/Bear) drawn only in the active regime (green/red)
Optional Buy/Sell arrows and labels
⚠️ Important Notes
Signals on Close
Flips confirm on bar close. Intrabar crosses can revert; wait for confirmation.
Risk Management
Size positions appropriately; many traders trail beyond the opposite band/line.
Factor in spread, slippage, sessions, and news.
Confirmation & Testing
Combine with structure/volume/HTF bias if desired.
Backtest and forward-test per instrument and timeframe.
For research/education only; not financial advice.
Pesquisar nos scripts por "bear"
Dashboard Trends📊 Dashboard Trends + Anchored Daily VWAP
This indicator provides a real-time multi-timeframe trend dashboard alongside a daily anchored VWAP system, helping you assess both macro and intraday market sentiment at a glance.
🔍 Key Features
✅ Multi-Timeframe Trend Analysis
Tracks whether EMA(22) is above EMA(200) across:
1m, 10m, 30m, 4h, 1D timeframes
Color-coded "Bullish"/"Bearish" status for each
Aggregated trend summary using 6 signals (including VWAP)
✅ Anchored Daily VWAP
Uses ta.vwap to provide a session-resetting daily VWAP
VWAP resets at the beginning of each trading day
Live update throughout the day
Supports pre-market and after-hours if chart includes ETH
✅ VWAP Bands (±1σ to ±3σ)
Optional bands show price deviation from VWAP
Fully customizable:
Enable/disable each band
Set deviation multiplier
Adjust color and visibility
✅ Visual Dashboard
Table display in the bottom-right corner
Shows trend status per timeframe + VWAP + Summary
Easy-to-read green/yellow/red color codes
⚙️ Customization
Toggle VWAP line on/off
Enable or disable any band level
Adjust standard deviation multiplier
Choose your VWAP and band colors
🧠 Summary Logic
Strong Bull: 6 bullish signals
Bull: 5 signals
Mixed: 3–4 signals
Bear: 2 signals
Strong Bear: 0–1 signals
This tool is perfect for traders looking to combine trend-following and intraday mean-reversion awareness, with all the critical data visualized in one compact dashboard.
Trend Gauge [BullByte]Trend Gauge
Summary
A multi-factor trend detection indicator that aggregates EMA alignment, VWMA momentum scaling, volume spikes, ATR breakout strength, higher-timeframe confirmation, ADX-based regime filtering, and RSI pivot-divergence penalty into one normalized trend score. It also provides a confidence meter, a Δ Score momentum histogram, divergence highlights, and a compact, scalable dashboard for at-a-glance status.
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## 1. Purpose of the Indicator
Why this was built
Traders often monitor several indicators in parallel - EMAs, volume signals, volatility breakouts, higher-timeframe trends, ADX readings, divergence alerts, etc., which can be cumbersome and sometimes contradictory. The “Trend Gauge” indicator was created to consolidate these complementary checks into a single, normalized score that reflects the prevailing market bias (bullish, bearish, or neutral) and its strength. By combining multiple inputs with an adaptive regime filter, scaling contributions by magnitude, and penalizing weakening signals (divergence), this tool aims to reduce noise, highlight genuine trend opportunities, and warn when momentum fades.
Key Design Goals
Signal Aggregation
Merged trend-following signals (EMA crossover, ATR breakout, higher-timeframe confirmation) and momentum signals (VWMA thrust, volume spikes) into a unified score that reflects directional bias more holistically.
Market Regime Awareness
Implemented an ADX-style filter to distinguish between trending and ranging markets, reducing the influence of trend signals during sideways phases to avoid false breakouts.
Magnitude-Based Scaling
Replaced binary contributions with scaled inputs: VWMA thrust and ATR breakout are weighted relative to recent averages, allowing for more nuanced score adjustments based on signal strength.
Momentum Divergence Penalty
Integrated pivot-based RSI divergence detection to slightly reduce the overall score when early signs of momentum weakening are detected, improving risk-awareness in entries.
Confidence Transparency
Added a live confidence metric that shows what percentage of enabled sub-indicators currently agree with the overall bias, making the scoring system more interpretable.
Momentum Acceleration Visualization
Plotted the change in score (Δ Score) as a histogram bar-to-bar, highlighting whether momentum is increasing, flattening, or reversing, aiding in more timely decision-making.
Compact Informational Dashboard
Presented a clean, scalable dashboard that displays each component’s status, the final score, confidence %, detected regime (Trending/Ranging), and a labeled strength gauge for quick visual assessment.
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## 2. Why a Trader Should Use It
Main benefits and use cases
1. Unified View: Rather than juggling multiple windows or panels, this indicator delivers a single score synthesizing diverse signals.
2. Regime Filtering: In ranging markets, trend signals often generate false entries. The ADX-based regime filter automatically down-weights trend-following components, helping you avoid chasing false breakouts.
3. Nuanced Momentum & Volatility: VWMA and ATR breakout contributions are normalized by recent averages, so strong moves register strongly while smaller fluctuations are de-emphasized.
4. Early Warning of Weakening: Pivot-based RSI divergence is detected and used to slightly reduce the score when price/momentum diverges, giving a cautionary signal before a full reversal.
5. Confidence Meter: See at a glance how many sub-indicators align with the aggregated bias (e.g., “80% confidence” means 4 out of 5 components agree ). This transparency avoids black-box decisions.
6. Trend Acceleration/Deceleration View: The Δ Score histogram visualizes whether the aggregated score is rising (accelerating trend) or falling (momentum fading), supplementing the main oscillator.
7. Compact Dashboard: A corner table lists each check’s status (“Bull”, “Bear”, “Flat” or “Disabled”), plus overall Score, Confidence %, Regime, Trend Strength label, and a gauge bar. Users can scale text size (Normal, Small, Tiny) without removing elements, so the full picture remains visible even in compact layouts.
8. Customizable & Transparent: All components can be enabled/disabled and parameterized (lengths, thresholds, weights). The full Pine code is open and well-commented, letting users inspect or adapt the logic.
9. Alert-ready: Built-in alert conditions fire when the score crosses weak thresholds to bullish/bearish or returns to neutral, enabling timely notifications.
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## 3. Component Rationale (“Why These Specific Indicators?”)
Each sub-component was chosen because it adds complementary information about trend or momentum:
1. EMA Cross
o Basic trend measure: compares a faster EMA vs. a slower EMA. Quickly reflects trend shifts but by itself can whipsaw in sideways markets.
2. VWMA Momentum
o Volume-weighted moving average change indicates momentum with volume context. By normalizing (dividing by a recent average absolute change), we capture the strength of momentum relative to recent history. This scaling prevents tiny moves from dominating and highlights genuinely strong momentum.
3. Volume Spikes
o Sudden jumps in volume combined with price movement often accompany stronger moves or reversals. A binary detection (+1 for bullish spike, -1 for bearish spike) flags high-conviction bars.
4. ATR Breakout
o Detects price breaking beyond recent highs/lows by a multiple of ATR. Measures breakout strength by how far beyond the threshold price moves relative to ATR, capped to avoid extreme outliers. This gives a volatility-contextual trend signal.
5. Higher-Timeframe EMA Alignment
o Confirms whether the shorter-term trend aligns with a higher timeframe trend. Uses request.security with lookahead_off to avoid future data. When multiple timeframes agree, confidence in direction increases.
6. ADX Regime Filter (Manual Calculation)
o Computes directional movement (+DM/–DM), smoothes via RMA, computes DI+ and DI–, then a DX and ADX-like value. If ADX ≥ threshold, market is “Trending” and trend components carry full weight; if ADX < threshold, “Ranging” mode applies a configurable weight multiplier (e.g., 0.5) to trend-based contributions, reducing false signals in sideways conditions. Volume spikes remain binary (optional behavior; can be adjusted if desired).
7. RSI Pivot-Divergence Penalty
o Uses ta.pivothigh / ta.pivotlow with a lookback to detect pivot highs/lows on price and corresponding RSI values. When price makes a higher high but RSI makes a lower high (bearish divergence), or price makes a lower low but RSI makes a higher low (bullish divergence), a divergence signal is set. Rather than flipping the trend outright, the indicator subtracts (or adds) a small penalty (configurable) from the aggregated score if it would weaken the current bias. This subtle adjustment warns of weakening momentum without overreacting to noise.
8. Confidence Meter
o Counts how many enabled components currently agree in direction with the aggregated score (i.e., component sign × score sign > 0). Displays this as a percentage. A high percentage indicates strong corroboration; a low percentage warns of mixed signals.
9. Δ Score Momentum View
o Plots the bar-to-bar change in the aggregated score (delta_score = score - score ) as a histogram. When positive, bars are drawn in green above zero; when negative, bars are drawn in red below zero. This reveals acceleration (rising Δ) or deceleration (falling Δ), supplementing the main oscillator.
10. Dashboard
• A table in the indicator pane’s top-right with 11 rows:
1. EMA Cross status
2. VWMA Momentum status
3. Volume Spike status
4. ATR Breakout status
5. Higher-Timeframe Trend status
6. Score (numeric)
7. Confidence %
8. Regime (“Trending” or “Ranging”)
9. Trend Strength label (e.g., “Weak Bullish Trend”, “Strong Bearish Trend”)
10. Gauge bar visually representing score magnitude
• All rows always present; size_opt (Normal, Small, Tiny) only changes text size via text_size, not which elements appear. This ensures full transparency.
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## 4. What Makes This Indicator Stand Out
• Regime-Weighted Multi-Factor Score: Trend and momentum signals are adaptively weighted by market regime (trending vs. ranging) , reducing false signals.
• Magnitude Scaling: VWMA and ATR breakout contributions are normalized by recent average momentum or ATR, giving finer gradation compared to simple ±1.
• Integrated Divergence Penalty: Divergence directly adjusts the aggregated score rather than appearing as a separate subplot; this influences alerts and trend labeling in real time.
• Confidence Meter: Shows the percentage of sub-signals in agreement, providing transparency and preventing blind trust in a single metric.
• Δ Score Histogram Momentum View: A histogram highlights acceleration or deceleration of the aggregated trend score, helping detect shifts early.
• Flexible Dashboard: Always-visible component statuses and summary metrics in one place; text size scaling keeps the full picture available in cramped layouts.
• Lookahead-Safe HTF Confirmation: Uses lookahead_off so no future data is accessed from higher timeframes, avoiding repaint bias.
• Repaint Transparency: Divergence detection uses pivot functions that inherently confirm only after lookback bars; description documents this lag so users understand how and when divergence labels appear.
• Open-Source & Educational: Full, well-commented Pine v6 code is provided; users can learn from its structure: manual ADX computation, conditional plotting with series = show ? value : na, efficient use of table.new in barstate.islast, and grouped inputs with tooltips.
• Compliance-Conscious: All plots have descriptive titles; inputs use clear names; no unnamed generic “Plot” entries; manual ADX uses RMA; all request.security calls use lookahead_off. Code comments mention repaint behavior and limitations.
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## 5. Recommended Timeframes & Tuning
• Any Timeframe: The indicator works on small (e.g., 1m) to large (daily, weekly) timeframes. However:
o On very low timeframes (<1m or tick charts), noise may produce frequent whipsaws. Consider increasing smoothing lengths, disabling certain components (e.g., volume spike if volume data noisy), or using a larger pivot lookback for divergence.
o On higher timeframes (daily, weekly), consider longer lookbacks for ATR breakout or divergence, and set Higher-Timeframe trend appropriately (e.g., 4H HTF when on 5 Min chart).
• Defaults & Experimentation: Default input values are chosen to be balanced for many liquid markets. Users should test with replay or historical analysis on their symbol/timeframe and adjust:
o ADX threshold (e.g., 20–30) based on instrument volatility.
o VWMA and ATR scaling lengths to match average volatility cycles.
o Pivot lookback for divergence: shorter for faster markets, longer for slower ones.
• Combining with Other Analysis: Use in conjunction with price action, support/resistance, candlestick patterns, order flow, or other tools as desired. The aggregated score and alerts can guide attention but should not be the sole decision-factor.
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## 6. How Scoring and Logic Works (Step-by-Step)
1. Compute Sub-Scores
o EMA Cross: Evaluate fast EMA > slow EMA ? +1 : fast EMA < slow EMA ? -1 : 0.
o VWMA Momentum: Calculate vwma = ta.vwma(close, length), then vwma_mom = vwma - vwma . Normalize: divide by recent average absolute momentum (e.g., ta.sma(abs(vwma_mom), lookback)), clip to .
o Volume Spike: Compute vol_SMA = ta.sma(volume, len). If volume > vol_SMA * multiplier AND price moved up ≥ threshold%, assign +1; if moved down ≥ threshold%, assign -1; else 0.
o ATR Breakout: Determine recent high/low over lookback. If close > high + ATR*mult, compute distance = close - (high + ATR*mult), normalize by ATR, cap at a configured maximum. Assign positive contribution. Similarly for bearish breakout below low.
o Higher-Timeframe Trend: Use request.security(..., lookahead=barmerge.lookahead_off) to fetch HTF EMAs; assign +1 or -1 based on alignment.
2. ADX Regime Weighting
o Compute manual ADX: directional movements (+DM, –DM), smoothed via RMA, DI+ and DI–, then DX and ADX via RMA. If ADX ≥ threshold, market is considered “Trending”; otherwise “Ranging.”
o If trending, trend-based contributions (EMA, VWMA, ATR, HTF) use full weight = 1.0. If ranging, use weight = ranging_weight (e.g., 0.5) to down-weight them. Volume spike stays binary ±1 (optional to change if desired).
3. Aggregate Raw Score
o Sum weighted contributions of all enabled components. Count the number of enabled components; if zero, default count = 1 to avoid division by zero.
4. Divergence Penalty
o Detect pivot highs/lows on price and corresponding RSI values, using a lookback. When price and RSI diverge (bearish or bullish divergence), check if current raw score is in the opposing direction:
If bearish divergence (price higher high, RSI lower high) and raw score currently positive, subtract a penalty (e.g., 0.5).
If bullish divergence (price lower low, RSI higher low) and raw score currently negative, add a penalty.
o This reduces score magnitude to reflect weakening momentum, without flipping the trend outright.
5. Normalize and Smooth
o Normalized score = (raw_score / number_of_enabled_components) * 100. This yields a roughly range.
o Optional EMA smoothing of this normalized score to reduce noise.
6. Interpretation
o Sign: >0 = net bullish bias; <0 = net bearish bias; near zero = neutral.
o Magnitude Zones: Compare |score| to thresholds (Weak, Medium, Strong) to label trend strength (e.g., “Weak Bullish Trend”, “Medium Bearish Trend”, “Strong Bullish Trend”).
o Δ Score Histogram: The histogram bars from zero show change from previous bar’s score; positive bars indicate acceleration, negative bars indicate deceleration.
o Confidence: Percentage of sub-indicators aligned with the score’s sign.
o Regime: Indicates whether trend-based signals are fully weighted or down-weighted.
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## 7. Oscillator Plot & Visualization: How to Read It
Main Score Line & Area
The oscillator plots the aggregated score as a line, with colored fill: green above zero for bullish area, red below zero for bearish area. Horizontal reference lines at ±Weak, ±Medium, and ±Strong thresholds mark zones: crossing above +Weak suggests beginning of bullish bias, above +Medium for moderate strength, above +Strong for strong trend; similarly for bearish below negative thresholds.
Δ Score Histogram
If enabled, a histogram shows score - score . When positive, bars appear in green above zero, indicating accelerating bullish momentum; when negative, bars appear in red below zero, indicating decelerating or reversing momentum. The height of each bar reflects the magnitude of change in the aggregated score from the prior bar.
Divergence Highlight Fill
If enabled, when a pivot-based divergence is confirmed:
• Bullish Divergence : fill the area below zero down to –Weak threshold in green, signaling potential reversal from bearish to bullish.
• Bearish Divergence : fill the area above zero up to +Weak threshold in red, signaling potential reversal from bullish to bearish.
These fills appear with a lag equal to pivot lookback (the number of bars needed to confirm the pivot). They do not repaint after confirmation, but users must understand this lag.
Trend Direction Label
When score crosses above or below the Weak threshold, a small label appears near the score line reading “Bullish” or “Bearish.” If the score returns within ±Weak, the label “Neutral” appears. This helps quickly identify shifts at the moment they occur.
Dashboard Panel
In the indicator pane’s top-right, a table shows:
1. EMA Cross status: “Bull”, “Bear”, “Flat”, or “Disabled”
2. VWMA Momentum status: similarly
3. Volume Spike status: “Bull”, “Bear”, “No”, or “Disabled”
4. ATR Breakout status: “Bull”, “Bear”, “No”, or “Disabled”
5. Higher-Timeframe Trend status: “Bull”, “Bear”, “Flat”, or “Disabled”
6. Score: numeric value (rounded)
7. Confidence: e.g., “80%” (colored: green for high, amber for medium, red for low)
8. Regime: “Trending” or “Ranging” (colored accordingly)
9. Trend Strength: textual label based on magnitude (e.g., “Medium Bullish Trend”)
10. Gauge: a bar of blocks representing |score|/100
All rows remain visible at all times; changing Dashboard Size only scales text size (Normal, Small, Tiny).
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## 8. Example Usage (Illustrative Scenario)
Example: BTCUSD 5 Min
1. Setup: Add “Trend Gauge ” to your BTCUSD 5 Min chart. Defaults: EMAs (8/21), VWMA 14 with lookback 3, volume spike settings, ATR breakout 14/5, HTF = 5m (or adjust to 4H if preferred), ADX threshold 25, ranging weight 0.5, divergence RSI length 14 pivot lookback 5, penalty 0.5, smoothing length 3, thresholds Weak=20, Medium=50, Strong=80. Dashboard Size = Small.
2. Trend Onset: At some point, price breaks above recent high by ATR multiple, volume spikes upward, faster EMA crosses above slower EMA, HTF EMA also bullish, and ADX (manual) ≥ threshold → aggregated score rises above +20 (Weak threshold) into +Medium zone. Dashboard shows “Bull” for EMA, VWMA, Vol Spike, ATR, HTF; Score ~+60–+70; Confidence ~100%; Regime “Trending”; Trend Strength “Medium Bullish Trend”; Gauge ~6–7 blocks. Δ Score histogram bars are green and rising, indicating accelerating bullish momentum. Trader notes the alignment.
3. Divergence Warning: Later, price makes a slightly higher high but RSI fails to confirm (lower RSI high). Pivot lookback completes; the indicator highlights a bearish divergence fill above zero and subtracts a small penalty from the score, causing score to stall or retrace slightly. Dashboard still bullish but score dips toward +Weak. This warns the trader to tighten stops or take partial profits.
4. Trend Weakens: Score eventually crosses below +Weak back into neutral; a “Neutral” label appears, and a “Neutral Trend” alert fires if enabled. Trader exits or avoids new long entries. If score subsequently crosses below –Weak, a “Bearish” label and alert occur.
5. Customization: If the trader finds VWMA noise too frequent on this instrument, they may disable VWMA or increase lookback. If ATR breakouts are too rare, adjust ATR length or multiplier. If ADX threshold seems off, tune threshold. All these adjustments are explained in Inputs section.
6. Visualization: The screenshot shows the main score oscillator with colored areas, reference lines at ±20/50/80, Δ Score histogram bars below/above zero, divergence fill highlighting potential reversal, and the dashboard table in the top-right.
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## 9. Inputs Explanation
A concise yet clear summary of inputs helps users understand and adjust:
1. General Settings
• Theme (Dark/Light): Choose background-appropriate colors for the indicator pane.
• Dashboard Size (Normal/Small/Tiny): Scales text size only; all dashboard elements remain visible.
2. Indicator Settings
• Enable EMA Cross: Toggle on/off basic EMA alignment check.
o Fast EMA Length and Slow EMA Length: Periods for EMAs.
• Enable VWMA Momentum: Toggle VWMA momentum check.
o VWMA Length: Period for VWMA.
o VWMA Momentum Lookback: Bars to compare VWMA to measure momentum.
• Enable Volume Spike: Toggle volume spike detection.
o Volume SMA Length: Period to compute average volume.
o Volume Spike Multiplier: How many times above average volume qualifies as spike.
o Min Price Move (%): Minimum percent change in price during spike to qualify as bullish or bearish.
• Enable ATR Breakout: Toggle ATR breakout detection.
o ATR Length: Period for ATR.
o Breakout Lookback: Bars to look back for recent highs/lows.
o ATR Multiplier: Multiplier for breakout threshold.
• Enable Higher Timeframe Trend: Toggle HTF EMA alignment.
o Higher Timeframe: E.g., “5” for 5-minute when on 1-minute chart, or “60” for 5 Min when on 15m, etc. Uses lookahead_off.
• Enable ADX Regime Filter: Toggles regime-based weighting.
o ADX Length: Period for manual ADX calculation.
o ADX Threshold: Value above which market considered trending.
o Ranging Weight Multiplier: Weight applied to trend components when ADX < threshold (e.g., 0.5).
• Scale VWMA Momentum: Toggle normalization of VWMA momentum magnitude.
o VWMA Mom Scale Lookback: Period for average absolute VWMA momentum.
• Scale ATR Breakout Strength: Toggle normalization of breakout distance by ATR.
o ATR Scale Cap: Maximum multiple of ATR used for breakout strength.
• Enable Price-RSI Divergence: Toggle divergence detection.
o RSI Length for Divergence: Period for RSI.
o Pivot Lookback for Divergence: Bars on each side to identify pivot high/low.
o Divergence Penalty: Amount to subtract/add to score when divergence detected (e.g., 0.5).
3. Score Settings
• Smooth Score: Toggle EMA smoothing of normalized score.
• Score Smoothing Length: Period for smoothing EMA.
• Weak Threshold: Absolute score value under which trend is considered weak or neutral.
• Medium Threshold: Score above Weak but below Medium is moderate.
• Strong Threshold: Score above this indicates strong trend.
4. Visualization Settings
• Show Δ Score Histogram: Toggle display of the bar-to-bar change in score as a histogram. Default true.
• Show Divergence Fill: Toggle background fill highlighting confirmed divergences. Default true.
Each input has a tooltip in the code.
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## 10. Limitations, Repaint Notes, and Disclaimers
10.1. Repaint & Lag Considerations
• Pivot-Based Divergence Lag: The divergence detection uses ta.pivothigh / ta.pivotlow with a specified lookback. By design, a pivot is only confirmed after the lookback number of bars. As a result:
o Divergence labels or fills appear with a delay equal to the pivot lookback.
o Once the pivot is confirmed and the divergence is detected, the fill/label does not repaint thereafter, but you must understand and accept this lag.
o Users should not treat divergence highlights as predictive signals without additional confirmation, because they appear after the pivot has fully formed.
• Higher-Timeframe EMA Alignment: Uses request.security(..., lookahead=barmerge.lookahead_off), so no future data from the higher timeframe is used. This avoids lookahead bias and ensures signals are based only on completed higher-timeframe bars.
• No Future Data: All calculations are designed to avoid using future information. For example, manual ADX uses RMA on past data; security calls use lookahead_off.
10.2. Market & Noise Considerations
• In very choppy or low-liquidity markets, some components (e.g., volume spikes or VWMA momentum) may be noisy. Users can disable or adjust those components’ parameters.
• On extremely low timeframes, noise may dominate; consider smoothing lengths or disabling certain features.
• On very high timeframes, pivots and breakouts occur less frequently; adjust lookbacks accordingly to avoid sparse signals.
10.3. Not a Standalone Trading System
• This is an indicator, not a complete trading strategy. It provides signals and context but does not manage entries, exits, position sizing, or risk management.
• Users must combine it with their own analysis, money management, and confirmations (e.g., price patterns, support/resistance, fundamental context).
• No guarantees: past behavior does not guarantee future performance.
10.4. Disclaimers
• Educational Purposes Only: The script is provided as-is for educational and informational purposes. It does not constitute financial, investment, or trading advice.
• Use at Your Own Risk: Trading involves risk of loss. Users should thoroughly test and use proper risk management.
• No Guarantees: The author is not responsible for trading outcomes based on this indicator.
• License: Published under Mozilla Public License 2.0; code is open for viewing and modification under MPL terms.
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## 11. Alerts
• The indicator defines three alert conditions:
1. Bullish Trend: when the aggregated score crosses above the Weak threshold.
2. Bearish Trend: when the score crosses below the negative Weak threshold.
3. Neutral Trend: when the score returns within ±Weak after being outside.
Good luck
– BullByte
Hilbert micro trends SubThe HILBERT MICRO TRENDS indicator uses advanced Digital Signal Processing techniques to uncover hidden characteristics in price series, providing a statistical edge across all types of assets. This indicator specializes in detecting short- and medium-term micro trends, which can appear isolated, embedded within larger trends, or even during broad-ranging price phases.
It operates with a single parameter, simplifying configuration and greatly reducing the risk of overfitting. HILBERT MICRO TRENDS applies modern low-pass and high-pass filtering techniques to smooth price data and remove noise efficiently across multiple levels. The mathematical formulas generate four recursively smoothed series, each more refined than the last in a subtle and precise way, avoiding abrupt changes. These smoothed series outperform traditional moving averages in every aspect: they have less lag (detecting trend shifts faster), generate fewer false signals, and stay closer to price action. This gives them an edge over standard indicators and algorithms based on conventional moving averages such as the simple, exponential, Kalman, or Hull MA.
Visual Structure
The indicator displays in two parts: one on the main chart and one on a sub-chart. On the main chart, the four smoothed series create a shaded area, with the upper and lower bounds representing the maximum and minimum of the series. If a series is rising (positive derivative), it signals bullish momentum; if falling, bearish. Since each series has a different smoothing level, they represent different time perspectives, and the indicator considers all four simultaneously. If all series are bullish, the area turns solid green. If three are bullish and one bearish, it's pale green. Two bullish, two bearish: gray. One bullish and three bearish: pale red. All bearish: solid red. A confirmed micro trend is present only when all four are aligned, i.e., when the area is pure green or red.
The sub-chart displays a histogram version of the same shaded area as an oscillator. An additional smoothed line tracks when the width of this shaded area expands or contracts.
How to Use and Interpret
As stated, the goal is to detect micro trends in price. The first rule is to open long positions only when the area is solid green, and shorts only when it’s solid red. Transitions from pale green to solid green can signal the start of a bullish micro trend, and similarly, from pale red to solid red for bearish trends. The width of the shaded area indicates the strength of the movement (best seen in the histogram). A wider area suggests stronger momentum, which is related to volatility only when a micro trend is active.
Use the orange line in the histogram to determine whether the micro trend is gaining or losing strength. A decreasing width suggests the trend might be ending, signaling an exit opportunity. However, since the orange line lags behind, it’s better used as confirmation rather than a trigger. For quicker signals, changes to pure red or green are more effective.
Price Relationship
Pay attention to the price's relative position to the shaded area. If the price stays within or fluctuates inside the area, it's usually a sign of a ranging market with no clear trend—avoid trading in such conditions. However, if the price breaks out and moves away from the area, it's a strong sign a micro trend has begun. When the price returns to the shaded area, the trend might be ending.
The indicator also marks pivot points from the last pure green or red zone. While not directly used to enter trades, these serve as useful price action reference points for combining with other strategies or tools.
Parameter Settings
The indicator includes a single but crucial parameter that controls smoothing intensity. A low value makes the indicator faster; a higher value slows it down. Success depends on choosing the right setting for the market environment. For long, clear trends, use higher values (80–100), as late entries are acceptable and premature exits are avoided. For shorter, mean-reverting trends, lower values (~40) are better to avoid lag. The default setting is 60, which suits most markets, but users are encouraged to adjust it to current conditions.
Always identify the current market phase and backtest how past micro trends have behaved on the instrument being traded. This ensures the indicator is tuned to the asset’s behavior and can deliver optimal results.
Hilbert micro trends MainThe HILBERT MICRO TRENDS indicator uses advanced Digital Signal Processing techniques to uncover hidden characteristics in price series, providing a statistical edge across all types of assets. This indicator specializes in detecting short- and medium-term micro trends, which can appear isolated, embedded within larger trends, or even during broad-ranging price phases.
It operates with a single parameter, simplifying configuration and greatly reducing the risk of overfitting. HILBERT MICRO TRENDS applies modern low-pass and high-pass filtering techniques to smooth price data and remove noise efficiently across multiple levels. The mathematical formulas generate four recursively smoothed series, each more refined than the last in a subtle and precise way, avoiding abrupt changes. These smoothed series outperform traditional moving averages in every aspect: they have less lag (detecting trend shifts faster), generate fewer false signals, and stay closer to price action. This gives them an edge over standard indicators and algorithms based on conventional moving averages such as the simple, exponential, Kalman, or Hull MA.
Visual Structure
The indicator displays in two parts: one on the main chart and one on a sub-chart. On the main chart, the four smoothed series create a shaded area, with the upper and lower bounds representing the maximum and minimum of the series. If a series is rising (positive derivative), it signals bullish momentum; if falling, bearish. Since each series has a different smoothing level, they represent different time perspectives, and the indicator considers all four simultaneously. If all series are bullish, the area turns solid green. If three are bullish and one bearish, it's pale green. Two bullish, two bearish: gray. One bullish and three bearish: pale red. All bearish: solid red. A confirmed micro trend is present only when all four are aligned, i.e., when the area is pure green or red.
The sub-chart displays a histogram version of the same shaded area as an oscillator. An additional smoothed line tracks when the width of this shaded area expands or contracts.
How to Use and Interpret
As stated, the goal is to detect micro trends in price. The first rule is to open long positions only when the area is solid green, and shorts only when it’s solid red. Transitions from pale green to solid green can signal the start of a bullish micro trend, and similarly, from pale red to solid red for bearish trends. The width of the shaded area indicates the strength of the movement (best seen in the histogram). A wider area suggests stronger momentum, which is related to volatility only when a micro trend is active.
Use the orange line in the histogram to determine whether the micro trend is gaining or losing strength. A decreasing width suggests the trend might be ending, signaling an exit opportunity. However, since the orange line lags behind, it’s better used as confirmation rather than a trigger. For quicker signals, changes to pure red or green are more effective.
Price Relationship
Pay attention to the price's relative position to the shaded area. If the price stays within or fluctuates inside the area, it's usually a sign of a ranging market with no clear trend—avoid trading in such conditions. However, if the price breaks out and moves away from the area, it's a strong sign a micro trend has begun. When the price returns to the shaded area, the trend might be ending.
The indicator also marks pivot points from the last pure green or red zone. While not directly used to enter trades, these serve as useful price action reference points for combining with other strategies or tools.
Parameter Settings
The indicator includes a single but crucial parameter that controls smoothing intensity. A low value makes the indicator faster; a higher value slows it down. Success depends on choosing the right setting for the market environment. For long, clear trends, use higher values (80–100), as late entries are acceptable and premature exits are avoided. For shorter, mean-reverting trends, lower values (~40) are better to avoid lag. The default setting is 60, which suits most markets, but users are encouraged to adjust it to current conditions.
Always identify the current market phase and backtest how past micro trends have behaved on the instrument being traded. This ensures the indicator is tuned to the asset’s behavior and can deliver optimal results.
Frozen Bias Zones – Sentiment Lock-insOverview
The Frozen Bias Zones indicator visualizes market sentiment lock-ins using a combination of RSI, MACD, and OBV. It creates "bias zones" that indicate whether the market is in a sustained bullish or bearish phase. These zones are then highlighted on the chart, helping traders spot when the market is locked in a bias. The script also detects breakout events from these zones and marks them with clear labels for easier decision-making.
Features
Multi-Indicator Sentiment Analysis: Combines RSI, MACD, and OBV to detect synchronized bullish or bearish sentiment.
Frozen Bias Zones: Identifies and visually represents zones where the market has remained in a particular sentiment (bullish or bearish) for a defined period.
Breakout Alerts: Displays labels to indicate when the price breaks out of the established bias zone.
Customizable Inputs: Adjust the zone duration, RSI, MACD, and breakout label visibility.
Input Parameters
Bias Duration (biasLength)
The minimum number of candles the market must stay in a specific sentiment to consider it a "Frozen Bias Zone".
Default: 5 candles.
RSI Period (rsiPeriod)
Period for the Relative Strength Index (RSI) calculation.
Default: 14 periods.
MACD Settings
MACD Fast (macdFast): The fast-moving average period for the MACD calculation.
Default: 12.
MACD Slow (macdSlow): The slow-moving average period for the MACD calculation.
Default: 26.
MACD Signal (macdSig): The signal line period for MACD.
Default: 9.
Show Break Label (showBreakLabel)
Toggle to show labels when the price breaks out of the bias zone.
Default: True (shows label).
Bias Zone Colors
Bullish Bias Color (bullColor): The color for bullish zones (light green).
Bearish Bias Color (bearColor): The color for bearish zones (light red).
How It Works
This indicator analyzes three key market metrics to determine whether the market is in a bullish or bearish phase:
RSI (Relative Strength Index)
Measures the speed and change of price movements. RSI > 50 indicates a bullish phase, while RSI < 50 indicates a bearish phase.
MACD (Moving Average Convergence Divergence)
Measures the relationship between two moving averages of the price. A positive MACD histogram indicates bullish momentum, while a negative histogram indicates bearish momentum.
OBV (On-Balance Volume)
Uses volume flow to determine if a trend is likely to continue. A rising OBV indicates bullish accumulation, while a falling OBV indicates bearish distribution.
Bias Zone Detection
The market sentiment is considered bullish if all three indicators (RSI, MACD, and OBV) are bullish, and bearish if all three indicators are bearish.
Bullish Zone: A zone is created when the market sentiment remains bullish for the duration of the specified biasLength.
Bearish Zone: A zone is created when the market sentiment remains bearish for the duration of the specified biasLength.
These bias zones are visually represented on the chart as colored boxes (green for bullish, red for bearish).
Breakout Detection
The script automatically detects when the market exits a bias zone. If the price moves outside the bounds of the established zone (either up or down), the script will display one of the following labels:
Bias Break (Up): Indicates that the price has broken upwards out of the zone (with a green label).
Bias Break (Down): Indicates that the price has broken downwards out of the zone (with a red label).
These labels help traders easily identify potential breakout points.
Example Use Case
Bullish Market Conditions: If the RSI is above 50, the MACD histogram is positive, and OBV is increasing, the script will highlight a green bias zone. Traders can watch for potential bullish breakouts or trend continuation after the zone ends.
Bearish Market Conditions: If the RSI is below 50, the MACD histogram is negative, and OBV is decreasing, the script will highlight a red bias zone. Traders can look for potential bearish breakouts when the zone ends.
Conclusion
The Frozen Bias Zones indicator is a powerful tool for traders looking to visualize prolonged market sentiment, whether bullish or bearish. By combining RSI, MACD, and OBV, it helps traders spot when the market is "locked in" to a bias. The breakout labels make it easier to take action when the price moves outside of the established zone, potentially signaling the start of a new trend.
Instructions
To use this script:
Add the Frozen Bias Zones indicator to your TradingView chart.
Adjust the input parameters to suit your trading strategy.
Observe the colored bias zones on your chart, along with breakout labels, to make informed decisions on trend continuation or reversal.
TrendPredator PROThe TrendPredator PRO
Stacey Burke, a seasoned trader and mentor, developed his trading system over the years, drawing insights from influential figures such as George Douglas Taylor, Tony Crabel, Steve Mauro, and Robert Schabacker. His popular system integrates select concepts from these experts into a consistent framework. While powerful, it remains highly discretionary, requiring significant real-time analysis, which can be challenging for novice traders.
The TrendPredator indicators support this approach by automating the essential analysis required to trade the system effectively and incorporating mechanical bias and a multi-timeframe concept. They provide value to traders by significantly reducing the time needed for session preparation, offering all relevant chart analysis and signals for live trading in real-time.
The PRO version offers an advanced pattern identification logic that highlights developing context as well as setups related to the constellation of the signals provided. It provides real-time interpretation of the multi-timeframe analysis table, following an extensive underlying logic with more than 150 different setup variations specifically developed for the system and indicator. These setups are constantly back- and forward-tested and updated according to the results. This version is tailored to traders primarily trading this system and following the related setups in detail.
The former TrendPredator ES version does not provide that option. It is significantly leaner and is designed for traders who want to use the multi-timeframe logic as additional confluence for their trading style. It is very well suited to support many other trading styles, including SMC and ICT.
The Multi-timeframe Master Pattern
Inspired by Taylor’s 3-day cycle and Steve Mauro’s work with “Beat the Market Maker,” Burke’s system views markets as cyclical, driven by the manipulative patterns of market makers. These patterns often trap traders at the extremes of moves above or below significant levels with peak formations, then reverse to utilize their liquidity, initiating the next phase. Breakouts away from these traps often lead to range expansions, as described by Tony Crabel and Robert Schabacker. After multiple consecutive breakouts, especially after the psychological number three, overextension might develop. A break in structure may then lead to reversals or pullbacks. The TrendPredator Indicator and the related multi-timeframe trading system are designed to track these cycles on the daily timeframe and provide signals and trade setups to navigate them.
Bias Logic and Multi-Timeframe Concept
The indicator covers the basic signals of Stacey Burke's system:
- First Red Day (FRD): Bearish break in structure, signalling weak longs in the market.
- First Green Day (FGD): Bullish break in structure signalling weak shorts in the markt.
- Three Days of Longs (3DL): Overextension signalling potential weak longs in the market.
- Three Days of Shorts (3DS): Overextension signalling potential weak shorts in the market.
- Inside Day (ID): Contraction, signalling potential impulsive reversal or range expansion move.
It enhances the original system by introducing:
Structured Bias Logic:
Tracks bias by following how price trades concerning the last previous candle high or low that was hit. For example if the high was hit, we are bullish above and bearish below.
- Bullish state: Breakout (BO), Fakeout Low (FOL)
- Bearish state: Breakdown (BD), Fakeout High (FOH)
Multi-Timeframe Perspective:
- Tracks all signals across H4, H8, D, W, and M timeframes, to look for alignment and follow trends and momentum in a mechanical way.
Developing Context:
- Identifies specific predefined context states based on the monthly, weekly and daily bias.
Developing Setups:
- Identifies specific predefined setups based on context and H8 bias as well as SB signals.
The indicator monitors the bias and signals of the system across all relevant timeframes and automates the related graphical chart analysis as well as context and setup zone identification. In addition to the master pattern, the system helps to identify the higher timeframe situation and follow the moves driven by other timeframe traders to then identify favourable context and setup situations for the trader.
Example: Full Bullish Cycle on the Daily Timeframe with Multi-Timeframe Signals
- The Trap/Peak Formation
The market breaks down from a previous day’s and maybe week’s low—potentially after multiple breakdowns—but fails to move lower and pulls back up to form a peak formation low and closes as a first green day.
MTF Signals: Bullish daily and weekly fakeout low; three consecutive breakdown days (1W Curr FOL, 1D Curr FOL, BO 3S).
Context: Reversal (REV)
Setup: Fakeout low continuation low of day (FOL Cont LOD)
- Pullback and Consolidation
The next day pulls further up after first green day signal, potentially consolidates inside the previous day’s range.
MTF Signals: Fakeout low and first green day closing as an inside day (1D Curr IS, Prev FOL, First G).
Context: Reversal continuation (REV Cont)
Setup: Previous fakeout low continuation low handing fruit (Prev FOL Cont LHF)
- Range Expansion/Trend
The following day breaks up through the previous day’s high, launching a range expansion away from the trap.
MTF Signals: Bullish daily breakout of an inside day (1D Curr BO, Prev IS).
Context: Uptrend healthy (UT)
Setup: Breakout continuation low hanging fruit (BO Cont LHF)
- Overextension
After multiple consecutive breakouts, the market reaches a state of overextension, signalling a possible reversal or pullback.
MTF Signals: Three days of breakout longs (1D Curr BO, Prev BO, BO 3L).
Context: Uptrend extended (UT)
- Reversal
After a breakout of previous days high that fails, price pulls away from the high showing a rollover of momentum across all timeframes and a potential short setup.
MTF Signals: Three days of breakout longs, daily fakeout high (1D 3L, FOH)
Context: Reversal countertrend (REV)
Setup: Fakeout high continuation high of day (FOH Cont HOD)
Note: This is only one possible illustrative scenario; there are many variations and combinations.
Example Chart: Full Bullish Cycle with Correlated Signals
Multi-Timeframe Signals examples:
Context and Setups examples:
Note: The signals shown along the move are manually added illustrations. The indicator shows these in realtime in the table at top and bottom right. This is only one possible scenario; there are many variations and combinations.
Due to the fractal nature of markets, this cycle can be observed across all timeframes. The strongest setups occur when there is multi-timeframe alignment. For example, a peak formation and potential reversal on the daily timeframe have higher probability and follow-through when they align with bearish signals on higher timeframes (e.g., weekly/monthly BD/FOH) and confirmation on lower timeframes (H4/H8 FOH/BD). With this perspective, the system enables the trader to follow the trend and momentum while identifying rollover points in a highly differentiated and precise way.
Using the Indicator for Trading
The automated analysis provided by the indicator can be used for thesis generation in preparation for a session as well as for live trading, leveraging the real-time updates as well as the context and setup indicated or alerted. It is recommended to customize the settings deeply, such as hiding the lower timeframes for thesis generation or the specific alert time window and settings to the specific trading schedule and playbook of the trader.
1. Context Assessment:
Evaluate alignment of higher timeframes (e.g., Month/Week, Week/Day). More alignment → Stronger setups.
- The context table offers an interpretation of the higher timeframe automatically. See below for further details.
2. Setup Identification:
Follow the bias of daily and H8 timeframes. A setup mostly requires alignment of these.
Setup Types:
- Trend Trade: Trade in alignment with the previous day’s trend.
Example: Price above the previous day’s high → Focus on long setups (dBO, H8 FOL) until overextension or reversal signs appear (H8 BO 3L, First R).
- Reversal Trade: Identify reversal setups when lower timeframes show rollovers after higher timeframe weakness.
Example: Price below the previous day’s high → Look for reversal signals at the current high of day (H8 FOH, BO 3L, First R).
- The setup table shows potential setups for the specific price zone in the table automatically. See below for further details.
3. Entry Confirmation:
Confirm entries based on H8 and H4 alignment, candle closes and lower timeframe fakeouts.
- H8 and H4 should always align for a final confirmation, meaning the breach lines should be both in the back of a potential trade setup.
- M15/ 5 candle close can be seen as acceptance beyond a level or within the setup zone.
- M15/5 FOH/ FOL signals lower timeframe traps potentially indicating further confirmation.
Example Chart Reversal Trade:
Context: REV (yellow), Reversal counter trend, Month in FOL with bearish First R, Week in BO but bearishly overextended with BO 3L, Day in Fakeout high reversing bearishly.
Setup: FOH Cont HOD (red), Day in Fakeout high after BO 3L overextension, confirmed by H8 FOH high of day, First R as further confluence. Two star quality and countertrend.
Entry: H4 BD, M15 close below followed by M15 FOH.
Detailed Features and Options
1. Context and Setup table
The Context and Setup Table is the core feature of the TrendPredator PRO indicator. It delivers real-time interpretation of the multi-timeframe analysis based on an extensive underlying logic table with over 150 variations, specifically developed for this system and indicator. This logic is continuously updated and optimized to ensure accuracy and performance.
1.1. Developing Context
States for developing higher timeframe context are determined based on signals from the monthly, weekly, and daily timeframes.
- Green and Red indicate alignment and potentially interesting developing setups.
- Yellow signals a mixed or conflicting bias, suggesting caution when taking trades.
The specific states are:
- UT (yellow): Uptrend extended
- UT (green): Uptrend healthy
- REV (yellow): Reversal day counter trend
- REV (green): Reversal day mixed trend
- REV Cont (green): Reversal continuation mixed trend
- REV Cont (yellow): Reversal continuation counter trend
- REV into UT (green): Reversal day into uptrend
- REV Cont into UT (green): Reversal continuation into uptrend
- UT Pullback (yellow): Counter uptrend breakdown day
- Conflicting (yellow): Conflicting signals
- Consolidating (yellow): Consolidating sideways
- Inside (yellow): Trading inside after an inside week
- DT Pullback (yellow): Counter downtrend breakout day
- REV Cont into DT (red): Reversal continuation into downtrend
- REV into DT (red): Reversal day into downtrend
- REV Cont (yellow): Reversal continuation counter trend
- REV Cont (red): Reversal continuation mixed trend
- REV (red): Reversal day mixed trend
- REV (yellow): Reversal day countertrend
- DT (red): Downtrend healthy
- DT (yellow): Downtrend extended
Example: Uptrend
The Uptrend Context (UT, green) indicates a healthy uptrend with all timeframes aligning bullishly. In this case, the monthly is in a Fakeout Low (FOL) and currently inside the range, while the weekly and daily are both in Breakout (BO) states. This context is favorable for developing long setups in the direction of the trend.
Example: Uptrend pullback
The Uptrend Pullback Context (UT Pullback, yellow) indicates a Breakdown (BD) on the daily timeframe against a higher timeframe uptrend. In this case, the monthly is in a Fakeout Low (FOL) and currently inside its range, the weekly is in Breakout (BO) and also currently inside, while the daily is in Breakdown (BD). This context reflects a conflicting situation—potentially signaling either an early reversal back into the uptrend or, if the breakdown extends, the beginning of a possible trend change.
Example: Reversal into Uptrend
The Reversal into Uptrend Context (REV into UT, green) indicates a lower timeframe reversal aligning with a higher timeframe uptrend. In this case, the monthly is in Breakout (BO), the weekly is in Breakout (BO) and currently inside its range, while the daily is showing a bullish Fakeout Low (FOL) reversal. This context is potentially very favorable for long setups, as it signals a strong continuation of the uptrend supported across multiple timeframes.
Example: Reversal
The Bearish Reversal Context indicates a lower timeframe rollover within an ongoing higher timeframe uptrend. In this case, the monthly remains in Breakout (BO), the weekly has shifted into a Fakeout High (FOH) after three weeks of breakout longs, and the daily is already in Breakdown (BD). This context suggests a potentially favorable developing short setup, as early signs of weakness appear across timeframes.
1.2. Developing Setup
The states for specific setups are based on the context and the signals from the daily timeframe and H8, indicating that price is in the zone of alignment. The setup description refers to the state of the daily timeframe, while the suffix relates to the H8 timeframe. For example, "prev FOH Cont LHF" means that the previous day is in FOH (Fakeout High) relative to yesterday's breakout level, currently trading inside, and we are in an H8 breakdown, indicating a potential LHF (Lower High Formation) short trade if the entry confirms. The suffix HOD means that H8 is in FOH or BO (Breakout).
The specific states are:
- REV HOD (red): Reversal high of day
- REV Cont LHF (red): Reversal continuation low hanging fruit
- BO Cont LHF (green): Breakout continuation low hanging fruit
- BO Cont LOD (green): Breakout continuation low of day
- FOH Cont HOD (red): Fakeout high continuation high of day
- FOH Cont LHF ((red): Fakeout high continuation low hanging fruit
- prev BD Cont HOD (red): Previous breakdown continuation high of day
- prev BD Cont LHF (red): Previous breakdown continuation low hanging fruit
- prev FOH Cont HOD (red): Previous fakeout high continuation high of day
- prev FOH Cont LHF (red): Previous fakeout high continuation low hanging fruit
- prev FOL Cont LOD (green): Previous fakeout low continuation low of day
- prev FOL Cont LHF (green): Previous fakeout low continuation low hanging fruit
- prev BO Cont LOD (green): Previous breakout continuation low of day
- prev BO Cont LHF (green): Previous breakout continuation low hanging fruit
- FOL Cont LHF (green): Fakeout low continuation low hanging fruit
- FOL Cont LOD (green): Fakeout low continuation low of day
- BD Cont LHF (red): BD continuation low hanging fruit
- BD Cont LOD (red): Breakdown continuation low of day
- REV Cont LHF (green): Reversal continuation low hanging fruit
- REV LOD (green): Reversal low of day
- Inside: Trading inside after an inside day
Type: Indicates the situation of the indicated setup concerning:
- Trend: Following higher timeframe trend
- Mixed: Mixed higher timeframe signals
- Counter: Against higher timeframe bias
Quality: Indicates the quality of the indicated setup according to the specified logic table
No star: Very low quality
* One star: Low quality
** Two star: Medium quality
*** Three star: High quality
Example: Breakout Continuation Trend Setup
This setup highlights a healthy uptrend where the month is in a breakout, the week is in a fakeout low, and the day is in a breakout after a first green day. As the H8 breaks out to the upside, a long setup zone is triggered, presenting a breakout continuation low-hanging fruit trade. This is a trend trade in an overextended situation on the H8, with an H8 3L, resulting in an overall quality rating of one star.
Example: Fakeout Low Continuation Trend Setup
This setup shows a reversal into uptrend, with the month in a breakout, the week in a breakout, and the day in a fakeout low after breaking down the previous day and now reversing back up. As H8 breaks out to the upside, a long setup zone is triggered, presenting a previous fakeout low continuation, low-hanging fruit trade. This is a medium-quality trend trade.
Example: Reversal Setup - Mixed Trend
This setup shows a reversal setup in line with the weekly trend, with the month in a fakeout low, the week in a fakeout high, and the day in a fakeout high after breaking out earlier in the day and now reversing back down. As H8 loses the previous breakout level after 3 breakouts (with H8 3L), a short setup zone is triggered, presenting a fakeout high continuation at the high of the day. This is a high-quality trade in a mixed trend situation.
Setup Alerts:
Alerts can be activated for setups freshly triggered on the chart within your trading window.
Detailed filter logic for setup alerts:
- Setup quality: 1-3 star
- Setup type: Counter, Mixed and Trend
- Setup category: e.g. Reversal Bearish, Breakout, Previous Fakeout High
- 1D BO and First signals: 3DS, 3DL, FRD, FGD, ID
Options:
- Alerts on/ off
- Alert time window (from/ to)
- Alert filter customization
Note: To activate alerts from a script in TradingView, some settings need to be adjusted. Open the "Create Alert" dialog and select the option "Any alert() function call" in the "Condition" section. Choose "TrendPredator PRO" to ensure that alerts trigger properly from the code. Alerts can be activated for entire watchlists or individual pairs. Once activated, the alerts run in the background and notify the user whenever a setup is freshly triggered according to the filter settings.
2. Multi-Timeframe Table
Provides a real-time view of system signals, including:
Current Timeframe (Curr): Bias states.
- Breakout (green BO): Bullish after breaking above the previous high.
- Fakeout High (red FOH): Bearish after breaking above the previous high but pulling back down.
- Breakdown (red BD): Bearish after breaking below the previous low.
- Fakeout Low (green FOL): Bullish after breaking below the previous low but pulling back up.
- Inside (IS): Price trading neutral inside the previous range, taking the previous bias (color indicates the previous bias).
Previous Timeframe (Prev): Tracks last candle bias state and transitions dynamically.
- Bias for last candle: BO, FOH, BD, FOL in respective colors.
- Inside bar (yellow IS): Indicated as standalone signal.
Note: Also previous timeframes get constantly updated in real time to track the bias state in relation to the level that was hit. This means a BO can still lose the level and become a FOH, and vice versa, and a BD can still become a FOL, and vice versa. This is critical to see for example if traders that are trapped in that timeframe with a FOH or FOL are released. An inside bar stays fixed, though, since no level was hit in that timeframe.
Breakouts (BO): Breakout count 3 longs and 3 shorts.
- 3 Longs (red 3L): Bearish after three breakouts without hitting a previous low.
- 3 Shorts (green 3S): Bullish after three breakdowns without hitting a previous high.
First Countertrend Close (First): Tracks First Red or Green Day.
- First Green (G): After two consecutive red closes.
- First Red (R): After two consecutive green closes.
Options: Customizable font size and label colors.
3. Historic Highs and Lows
Displays historic highs and lows per timeframe for added context, enabling users to track sequences over time.
Timeframes: H4, H8, D, W, M
Options: Customize for timeframes shown, number of historic candles per timeframe, colors, formats, and labels.
4. Previous High and Low Extensions
Displays extended previous levels (high, low, and close) for each timeframe to assess how price trades relative to these levels.
H4: P4H, P4L, P4C
H8: P8H, P8L, P8C
Daily: PDH, PDL, PDC
Weekly: PWH, PWL, PWC
Monthly: PMH, PML, PMC
Options: Fully customizable for timeframes shown, colors, formats, and labels.
5. Breach Lines
Tracks live market reactions (e.g., breakouts or fakeouts) per timeframe for the last previous high or low that was hit, highlighting these levels originating at the breached candle to indicate bias (color-coded).
Red: Bearish below
Green: Bullish above
H4: 4FOL, 4FOH, 4BO, 4BD
H8: 8FOL, 8FOH, 8BO, 8BD
D: dFOL, dFOH, dBO, dBD
W: wFOL, wFOH, wBO, wBD
M: mFOL, mFOH, mBO, mBD
Options: Fully customizable for timeframes shown, colors, formats, and labels.
Overall Options:
Toggle single feature groups on/off.
Customize H8 open/close time as an offset to UTC to be provider independent.
Colour settings con be adjusted for dark or bright backgrounds.
Higher Timeframe Use Case Examples
Example Use Case: Weekly Template Analysis
The Weekly Template is a core concept in Stacey Burke’s trading style. The analysis is conducted on the daily timeframe, focusing on the higher timeframe bias and identifying overextended conditions within the week—such as multiple breakouts and peak formations signaling potential reversals.
In this example, the candles are colored by the TrendPredator FO indicator, which highlights the state of individual candles. This allows for precise evaluation of both the trend state and the developing weekly template. It is a valuable tool for thesis generation before a trading session and for backtesting purposes.
Example Use Case: High Timeframe 5-Star Setup Analysis (Stacey Burke "ain't coming back" ACB Template)
This analysis identifies high-probability trade opportunities when daily breakout or breakdown closes occur near key monthly levels mid-week, signaling overextensions and potentially large parabolic moves. The key signal to look for is a breakout or breakdown close on a Wednesday. This is useful for thesis generation before a session and also for backtesting.
In this example, the TrendPredator FO indicator colors the candles to highlight individual candle states, particularly those that close in breakout or breakdown. Additionally, an indicator is shown on the chart shading every Wednesday, making it easier to visually identify the signals.
5 Star Alerts:
Alerts can be activated for this potential 5-Star setup constellation. The alert is triggered when there is a breakout or breakdown close on a Wednesday.
Further recommendations:
- Higher timeframe context: TPO or volume profile indicators can be used to gain an even better overview.
- Late session trading: Entries later in the session, such as during the 3rd hour of the NY session, offer better analysis and follow-through on setups.
- Entry confirmation: Momentum indicators like VWAP, Supertrend, or EMA are helpful for increasing precision. Additionally, tracking lower timeframe fakeouts can provide powerful confluence. To track those the TrendPredator Fakeout Highlighter (FO), that has been specifically developed for this can be of great help:
Limitations:
Data availability using TradingView has its limitations. The indicator leverages only the real-time data available for the specific timeframe being used. This means it cannot access data from timeframes lower than the one displayed on the chart. For example, if you are on a daily chart, it cannot use H8 data. Additionally, on very low timeframes, the historical availability of data might be limited, making higher timeframe signals unreliable.
To address this, the indicator automatically hides the affected columns in these specific situations, preventing false signals.
Disclaimer
This indicator is for educational purposes only and does not guarantee profits.
None of the information provided shall be considered financial advice.
The indicator does not provide final buy or sell signals but highlights zones for potential setups.
Users are fully responsible for their trading decisions and outcomes.
Volume Standard Deviation Alert GusPurpose
The script detects and alerts traders when the volume of a trading asset significantly exceeds a calculated threshold based on the standard deviation of volume over a specified lookback period. It optionally filters these alerts based on whether the price action is bullish or bearish.
Key Components
Inputs
lookback (default: 20)
The number of bars to consider when calculating the moving average and standard deviation of volume.
stdDevFactor (default: 2.0)
The multiplier for the standard deviation to determine the threshold for a volume spike.
alertOnClose (default: true)
Determines whether alerts should only be triggered after the bar has closed.
checkBullBear (default: false)
Enables filtering of alerts based on the bullishness or bearishness of the bar.
Calculations
volSMA
The simple moving average (SMA) of the volume over the lookback period.
volStd
The standard deviation of the volume over the lookback period.
threshold
The alert threshold is calculated as:
Threshold
=
volSMA
+
(
stdDevFactor
×
volStd
)
Threshold=volSMA+(stdDevFactor×volStd)
isBullish & isBearish
Determines whether the current bar is bullish (close > open) or bearish (close < open).
volumeSpikeCondition
A condition that triggers when the current volume exceeds the calculated threshold.
bullishCondition & bearishCondition
Refines the spike condition by requiring the bar to be bullish or bearish when checkBullBear is enabled.
finalCondition
The ultimate alert condition based on the user’s preference for bullish/bearish filtering.
finalTrigger
Ensures the alert only triggers at bar close if alertOnClose is set to true.
Visualization
Plots the SMA of the volume (volSMA) and the threshold line (threshold), helping traders visually understand the conditions.
Histograms the current volume and colors the bars:
Red: Volume exceeds the threshold.
Blue: Volume is below the threshold.
Alerts
The script generates an alert message when the finalTrigger condition is met:
"Bullish Volume Spike!" if the bar is bullish.
"Bearish Volume Spike!" if the bar is bearish.
"High Volume Spike!" if no bull/bear filter is applied.
Alerts are sent using alert() with the message and set to trigger once per bar close.
Usage
Traders can use this script to identify unusual volume activity, which often precedes significant price movements.
Customizability allows traders to tune the lookback period, standard deviation multiplier, and whether to filter for bullish/bearish spikes.
Visual and audible cues help in identifying important market events in real time.
This indicator is particularly useful for spotting market breakouts or breakdowns driven by high trading activity.
Directional Volume IndexDirectional Volume Index (DVI) (buying/selling pressure)
This index is adapted from the Directional Movement Index (DMI), but based on volume instead of price movements. The idea is to detect building directional volume indicating a growing amount of orders that will eventually cause the price to follow. (DVI is not displayed by default)
The rough algorithm for the Positive Directional Volume Index (green bar):
calculate the delta to the previous green bar's volume
if the delta is positive (growing buying pressure) add it to an SMA, else add 0 (also for red bars)
divide these average deltas by the average volume
the result is the Positive Directional Volume Index (DVI+) (vice versa for DVI-)
Differential Directional Volume Index (DDVI) (relative pressure)
Creating the difference of both Directional Volume Indexes (DVI+ - DVI-) creates the Differential Directional Volume Index (DDVI) with rising values indicating a growing buying pressure, falling values a growing selling pressure. (DDVI is displayed by default, smoothed by a custom moving average)
Average Directional Volume Index (ADVX) (pressure strength)
Putting the relative pressure (DDVI) in relation to the total pressure (DVI+ + DVI-) we can determine the strength and duration of the currently building volume change / trend. For the DMI/ADX usually 20 is an indicator for a strong trend, values above 50 suggesting exhaustion and approaching reversals. (ADVX is not displayed by default, smoothed by a custom moving average)
Divergences of the Differential Directional Volume Index (DDVI) (imbalances)
By detecting divergences we can detect situations where e.g. bullish volume starts to build while price is in a downtrend, suggesting that there is growing buying pressure indicating an imminent bullish pullback/order block or reversal. (strong and hidden divergences are displayed by default)
Divergences Overview:
strong bull: higher lows on volume, lower lows on price
medium bull: higher lows on volume, equal lows on price
weak bull: equal lows on volume, lower lows on price
hidden bull: lower lows on volume, higher lows on price
strong bear: lower highs on volume, higher highs on price
medium bear: lower highs on volume, equal highs on price
weak bear: equal highs on volume, higher highs on price
hidden bear: higher highs on volume, lower highs on price
DDVI Bands (dynamic overbought/oversold levels)
Using Bollinger Bands with DDVI as source we receive an averaged relative pressure with stdev band offsets. This can be used as dynamic overbought/oversold levels indicating reversals on sharp crossovers.
Alerts
As of now there are no alerts built in, but all internal data is exposed via plot and plotshape functions, so it can be used for custom crossover conditions in the alert dialog. This is still a personal research project, so if you find good setups, please let me know.
Custom RSI & MACD Momentum Entry SignalsIndicator Explanation: Custom RSI & MACD Momentum Entry Signals
Introduction
The "Custom RSI & MACD Momentum Entry Signals" indicator combines the Relative Strength Index (RSI) and the Moving Average Convergence Divergence (MACD) to generate precise long and short entry signals. This indicator offers a powerful combination of overbought/oversold zones, momentum analysis, and RSI-EMA crossovers to assist traders in making better decisions.
How the Indicator Works
1. RSI Calculation and EMA
The RSI is calculated based on the closing price with an adjustable period (default: 14).
An Exponential Moving Average (EMA) of the RSI (default: 9) is plotted to identify RSI trend changes.
When the RSI crosses its EMA upwards, it signals a bullish impulse. Conversely, a downward cross indicates a bearish impulse.
2. MACD Calculation and Momentum Shifts
The MACD line is derived from the difference between a fast EMA (default: 12) and a slow EMA (default: 26).
The Signal line is the EMA of the MACD line (default: 9).
The MACD histogram represents the difference between the MACD line and the Signal line.
Momentum shifts are detected as follows:
Weakening Bearish: Histogram is negative but increasing (less bearish pressure).
Strengthening Bullish: Histogram is positive and rising.
Weakening Bullish: Histogram is positive but decreasing.
Strengthening Bearish: Histogram is negative and falling.
Signal Generation
Long Signals
A Long signal is triggered when all of the following conditions are met:
The RSI was previously below 30 (oversold condition).
MACD momentum shifts from "strengthening bearish" to "weakening bearish" or turns bullish.
The RSI crosses its EMA upwards.
A green upward arrow is displayed below the bar, and the background is lightly shaded green for additional visualization.
Short Signals
A Short signal is triggered when all of the following conditions are met:
The RSI was previously above 70 (overbought condition).
MACD momentum shifts from "strengthening bullish" to "weakening bullish" or turns bearish.
The RSI crosses its EMA downwards.
A red downward arrow is displayed above the bar, and the background is lightly shaded red for additional visualization.
Visual Elements
RSI and EMA:
The RSI is shown in purple.
The RSI EMA is shown in blue.
Horizontal lines at 30 (oversold) and 70 (overbought) provide additional context.
MACD:
The MACD line is displayed in blue.
The Signal line is displayed in orange.
The zero line is added for easier interpretation.
Signals:
Green arrows: Long signals.
Red arrows: Short signals.
Background color: Light green for long conditions, light red for short conditions.
Use Cases
This indicator is ideal for:
Trend Followers: Combining RSI and MACD allows traders to identify entry points during impulsive trend shifts.
Swing Traders: Long and short signals can be used at reversal points to capture short-term price movements.
Momentum Traders: By considering MACD momentum, the indicator provides additional confidence in signal generation.
Customizable Settings
The indicator provides flexible input options:
RSI Period (default: 14)
RSI EMA Period (default: 9)
MACD Parameters: Fast, slow, and signal EMAs can be adjusted.
Conclusion
The Custom RSI & MACD Momentum Entry Signals indicator is a powerful tool for traders looking to combine RSI and MACD to identify high-probability entry signals. With clear visualization and precise signal generation, traders can make decisions more efficiently and capitalize on market movements.
Black RSI (Multi Symbol RSI)📌 GENERAL OVERVIEW
Black RSI (Multi Symbol RSI) is an indicator with multiple-RSI (multi-symbol support), It is a powerful indicator designed for analyzing the relative strength of multiple financial instruments within a single chart. This indicator essentially combines multiple instances of the Relative Strength Index (RSI) for different symbols, allowing traders to compare and contrast market conditions for a broader, simultaneous analysis of various assets. By tracking RSI across multiple assets, traders can identify broader market trends, and sector rotations, or pinpoint relative strengths and weaknesses among different instruments. Please check the below sections for details.
Black RSI (Multi Symbol RSI) Indicator Features Summary:
+ Multiple RSI with multi-symbol ◢
This indicator plots Primary+3 multiple RSI for multiple symbols at once. For instance, it could simultaneously show the RSI of indices (e.g., SPX, NASDAQ) or stocks within a sector, providing insights into how these assets are moving relative to one another.
+ Custom Divergence Module ◢
It allows the user to select the divergence source among the multiple RSI (Primary, 1st, 2nd or 3rd RSI) and displays regular/hidden bullish/bearish divergence for selected RSI only.
+ Custom RSI Moving Average/BBs ◢
It allows the user to select the RSI moving average/BBs source among the multiple RSI (Primary, 1st, 2nd or 3rd RSI) and displays moving average/BBs for selected RSI only.
+ Alert Triggers ◢
The indicator can incorporate alert functions that notify the user when an RSI threshold (e.g., overbought or oversold levels) is crossed for any of the selected symbols.
📌HOW TO USE IT
Confirm Trends Across Symbols: Use the indicator to confirm trends across multiple assets. For example, if most symbols within a sector or index are showing RSI levels above 50, it may indicate a bullish trend in that sector. Conversely, if most RSIs are below 50, it may signal bearish sentiment.
Spot Divergences: Look for RSI divergences across symbols, which can hint at potential reversals. For instance, if most symbols show declining RSI levels while a few have increasing RSI, it could indicate relative strength in those few, making them candidates for closer watch.
Identify Overbought/Oversold Conditions: By observing the RSI levels of multiple symbols, you can identify when certain assets are overbought (typically RSI > 70) or oversold (typically RSI < 30). When multiple assets show similar RSI levels, this can indicate broader market sentiment or sector momentum.
Sector Rotation Analysis: In longer-term trading or portfolio rebalancing, a Multi-RSI Multi-Symbol indicator can help detect sector rotation patterns by showing which sectors are gaining strength (higher RSI) and which are weakening, facilitating informed sectoral shifts.
Use in Conjunction with Other Indicators: The Multi-RSI can serve as a supporting indicator alongside trend indicators like Moving Averages or Bollinger Bands, helping to confirm entry and exit points. For example, if a symbol’s RSI shows an overbought condition and it aligns with a resistance level from a Moving Average, this could strengthen a sell signal.
Customization: Customize the settings to match your trading style. For instance, day traders might prefer a shorter RSI period and timeframes, while swing traders may benefit from longer timeframes and smoother RSI.
⚙️Black RSI (Multi Symbol RSI) SETTINGS
Black RSI (Multi) Dashboard ◢
+ 1st RSI: Enable/Disable 1st RSI
+ 2nd RSI: Enable/Disable 2nd RSI
+ 3rd RSI: Enable/Disable 3rd RSI
RSI Primary Tools ◢
+ RSI Moving Average/Bollinger Bands: Enable/Disable RSI Moving Average/Bollinger Bands
+ Smooth RSI: Enable/Disable Smooth RSI (for Primary RSI)
+ RSI Divergence: Enable/Disable Divergence for user-selected RSI
RSI Secondary Tools ◢
+ RSI OB/OS Color Bars: Enable/Disable RSI OB/OS Color Bars for user-selected RSI
+ RSI OB/OS Highlights: Enable/Disable OB/OS Highlights for user-selected RSI
+ Background: Enable/Disable RSI Background
+ Primary RSI Settings ▾
- Override Primary RSI Symbol: Allows the user to select the symbol for Primary RSI
- Primary RSI Length: User input primary RSI length value
- Primary RSI Source: User primary RSI source selection
- RSI Line Thickness: User input line thickness value for primary RSI
- Primary RSI Colors:
- OB/OS Highlights: Enable/Disable OB/OS Primary RSI Highlights
- RSI Overbought Threshold: The user can set the RSI overbought threshold value. This Overbought Threshold value will also be applied to All RSI (Primary, 1st, 2nd, 3rd) and "RSI Divergence overbought condition" and "RSI OB/OS Highlights"
- RSI Oversold Threshold: The user can set the RSI oversold threshold value. The lower band (oversold line) of RSI. This Oversold Threshold value will also be applied to All RSI (Primary, 1st, 2nd, 3rd) and "RSI Divergence oversold condition" and "RSI OB/OS Highlights"
+ 1st RSI Settings ▾
- Override 1st RSI Symbol: Allows the user to select the symbol for 1st RSI
- 1st RSI Length: User input 1st RSI length value
- 1st RSI Source: User 1st RSI source selection
- RSI Line Thickness: User input line thickness value for 1st RSI
- 1st RSI Colors:
- OB/OS Highlights: Enable/Disable OB/OS 1st RSI Highlights
+ 2nd RSI Settings ▾
- Override 2nd RSI Symbol: Allows the user to select the symbol for 2nd RSI
- 2nd RSI Length: User input 2nd RSI length value
- 2nd RSI Source: User 2nd RSI source selection
- RSI Line Thickness: User input line thickness value for 2nd RSI
- 2nd RSI Colors:
- OB/OS Highlights: Enable/Disable OB/OS 2nd RSI Highlights
+ 3rd RSI Settings ▾
- Override 3rd RSI Symbol: Allows the user to select the symbol for 3rd RSI
- 3rd RSI Length: User input 3rd RSI length value
- 3rd RSI Source: User 3rd RSI source selection
- RSI Line Thickness: User input line thickness value for 3rd RSI
- 3rd RSI Colors:
- OB/OS Highlights: Enable/Disable OB/OS 3rd RSI Highlights
+ RSI Bands & Threshold Settings ▾
- RSI Middle Band: Allows the user to plot optional RSI band on the RSI Oscillator
- RSI Bullish Band: Allows the user to plot optional RSI band on the RSI Oscillator
- RSI Bearish Band: Allows the user to plot optional RSI band on the RSI Oscillator
+ Primary RSI Smooth Settings ▾
- Type: The user selected Smooth MA type for Primary RSI. With RSI Smooth enabled, it will also affect Primary RSI Divergences detection (all divergences will be plotted according to the "Smoothed RSI line")
- Length: User input Smooth MA length value for Primary RSI
+ RSI Moving Average Settings ▾
- MA/BB RSI Source: Allows the user to MA/BB source selection
- MA/BB Enable/Disable: Allows the user to select Moving average only, BBs only or Both to display on the RSI Oscillator
- RSI Moving Average Colors: Allows the user to select Bullish/Bearish colours of RSI Moving Average
- RSI Moving Average Type: Allows the user to select RSI MA Type
- RSI Moving Average Length: User input RSI MA length value
- RSI Moving Average Thickness: User input RSI MA thickness
- Bollinger Bands Colors: Allows the user to select BBs colours
- BB StdDev: user input Bollinger Bands standard deviation value
+ RSI Divergence Settings ▾
- Divergence RSI source: User selection of divergence source .
- Divergence source: User selection of divergence source . "oscillator" (divergence detection with high/low or close of RSI), "price" (divergence detection with high/low or close of price)
- Bull price source: User selection of Bull price source. Bull price source: "Low" (low of price divergence detection), "Close" (close of price divergence detection) (linked to "price" in "Divergence source")
- Bear price source: User selection of Bear price source. Bear price source: "High" (high of price divergence detection), "Close" (close of price divergence detection) (linked to "price" in "Divergence source")
- Low/High left bars: How many candles to compare on the left side of a candle when deciding whether it is a pivot. The lower the number is, the earlier pivots (and therefore divergences) will be signalled, but the quality of those detections could be lower.
- Low/High right bars: How many candles to compare on the right side of a candle when deciding whether it is a pivot. The lower the number is, the earlier pivots (and therefore divergences) will be signalled, but the quality of those detections could be lower.
- Maximum lookback bars: The maximum length of a divergence (number of bars). If a detected divergence is longer than this, it will be discarded.
- Price threshold: User selection of Price threshold, higher values more lines
- RSI threshold: User selection of RSI threshold, higher values more lines
- Show Lows: Displays lows of RSI
- Show Highs: Displays highs of RSI
- Show Divergence as:
- Line Style:
- Line thickness: User input divergence line thickness value
- Label Transparency: it could reduce label mess on the oscillator line, input "100" for label text only without label background
- Labels Text Color: User label text colour selection
Auto Text Color > Auto colour change of label text according to Dark/Light chart theme
- Bull Divergences: Enable/Disable of Bull divergences
> Color: User selection of Bull divergence color
> Potential Bull: It will plot potential regular bull divergence with a dotted line.
- Bear Divergences: Enable/Disable of Bear divergences
> Color: User selection of Bear divergence color
> Potential Bear: It will plot potential regular bear divergence with a dotted line.
- Hidden Bull Div: Enable/Disable of Hidden Bull divergences
> Color: User selection of Hidden Bull divergence colour
> Potential H.Bull: It will plot potential hidden bull divergence with a dotted line.
- Hidden Bear Div: Enable/Disable of Hidden Bear divergences
> Color: User selection of Hidden Bear divergence colour
> Hidden Bear divergence: It will plot potential hidden bear divergence with a dotted line.
> Regular Bull oversold only: It will show Regular Bullish RSI divergences in the oversold zone only, RSI oversold threshold can be configured in the "Primary RSI Settings" section.
> Regular Bear overbought only: It will show Regular Bearish RSI divergences in the overbought zone only, RSI overbought threshold can be configured in the "Primary RSI Settings" section.
+ RSI OB/OS Colored Bars Settings▾
- OB/OS Bar RSI Source: User selection of OB/OS Bars RSI source .
- Overbought Bar Color: User RSI OB Bars colour selection
- Oversold Bar Color: User RSI OS Bars colour selection
+ Overbought/Oversold Highlights ▾
- OB/OS Highlights RSI Source: User selection of OB/OS Highlights RSI source .
- Overbought Highlights : Enable/Disable Overbought Highlights
- Oversold Highlights : Enable/Disable Oversold Highlights
- Transparency: Gradient transparency of highlighted area
+ RSI Line & Label Settings ▾
- Show Symbol label: Enable/Disable each RSI symbol label.
- RSI line offset: Shifts the RSI to the left or the right on the given number of bars, Default is 0
+ Background Setting ▾
- Custom Background Color: User selection of Background color
Feedback & Bug Report
If you find any bugs in this indicator or have any suggestions, please let me know. Please give feedback & appreciate it if you like to see more future updates and indicators. Thank you
Breakouts with Tests & Retests [LuxAlgo]The Breakouts Tests & Retests indicator highlights tests and retests of levels constructed from detected swing points. A swing area of interest switches colors when a breakout occurs.
Users can control the sensitivity of the swing point detection and the width of the swing areas.
🔶 USAGE
When a Swing point is detected, an area of interest is drawn, colored green for a bullish swing and red when bearish.
A test is confirmed when the opening price is situated in the area of interest, and the closing price is above or below the area, depending on whether it is a bullish or bearish swing. Tests are highlighted with a solid-colored triangle.
A breakout is confirmed when the price closes in the opposite position, below or above the area, in which case the area will switch colors.
If the opening price is located within the area and the closing price closes outside the area, in the same direction as the breakout, this is considered a retest . Retests are highlighted with a hollow-colored triangle.
Note that tests/retests do not act on wicks. The main factor is that the opening price is in the area of interest, while the closing price is outside.
🔹 Area Of Interest Width
The user can adjust the width of the swing areas. Changing the " Width " is a fast and easy way to find different areas of interest.
A higher "Multiple" setting would return a wider area, allowing price to develop within it for a longer period of time and potentially provide later test signals.
When a swing area is broken, a higher "Width" setting can make it more complicated for the price to break it again, allowing a swing area to remain valid for a longer period of time thus potentially providing more retest signals.
🔶 DETAILS
Generally, only one bullish/bearish pattern can be active at a time. This means that no more than 1 bullish or bearish area will be active.
The " Display " settings, however, can help control how areas of different types are displayed.
Bullish AND Bearish: Both, bullish and bearish patterns can be drawn at the same time
Bullish OR Bearish: Only 1 bullish or 1 bearish pattern is drawn at a time
Bullish: Only bullish patterns
Bearish: Only bearish patterns
🔹 Test/Retest Labels
The user can adjust the settings so only the latest test/retest label is shown or set a minimum number of bars until the next test/retest can be drawn.
🔹 Maximum Bars
Users can set a limit of bars for when there is no test/retest in that period; the area of interest won't be updated anymore and will be available and ready for the next Swing.
An option for pulling the area back to the last retest is included.
🔶 SETTINGS
Display: Determines which swing areas are displayed by the indicator. See the "DETAILS" section for more information
Multiple: Adjusts the width of the areas of interest
Maximum Bars: Limit of bars for when there is no test/retest
Display Test/Retest Labels: Show all labels or just the last test/retest label associated with a swing area
Minimum Bars: Minimum bars required for a subsequent test/retest label are allowed to be displayed
Set Back To Last Retest: When after "Maximum Bars" no test/retest is found, place the right side of the area at the last test/retest
🔹 Swings
Left: x amount of wicks on the left of a potential Swing need to be higher/lower for a Swing to be confirmed.
Right: The number of wicks on the right of a potential swing needs to be higher/lower for a Swing to be confirmed.
🔹 Style
Bullish: color for test period (before a breakout) / retest period (after a breakout)
Bearish: color for test period (before a breakout) / retest period (after a breakout)
Label Size
MTF Market Structure - SMC IndicatorsThe Multi Timeframe Market Structure helps understand and identify bullish or bearish Market Structure by highlighting “KEY” Highs and Lows. It also identifies changes in market direction by identifying a “Shift in Market Structure” (See Point 2 below) or “Break in Market Structure” (See Point 3 Below).
What are Key Highs and Lows?
Not every high or low is a “Key” high or low. “Key” highs and lows are specific highs and lows that form the structure of the market and have significance in understanding the current trend in the market (see point 1 below).
The indicator identifies these “Key” highs and lows on multiple time frames, allowing the trader to keep a perspective of the Market Structure with multiple timeframes simultaneously (see point 5 below).
The key highs and lows identified by the indicator are as follows:
Key Lows : Identify significant Swing Lows, Short-term lows “STL”, Intermediate-Term Lows “ITL”, and Long-Term Lows “LTL”.
Key Highs : Identify significant Swing Highs, Short-term highs “STH”, Intermediate-Term Highs “ITH”, and Long-Term Highs “LTH”.
Significant Swing High : This is a price swing with one lower candle to the right and one lower candle to the left of it.
Significant Swing Low : This is a price swing with one higher candle to the right and one higher candle to the left of it.
Short-Term High “STH” is a price swing with one lower Significant Swing High to the right and one lower Significant Swing High to the left of it.
Short-Term Low “STL” is a price swing with one higher Significant Swing Low to the right and one higher Significant Swing Low to the left of it.
Intermediate-Term High “ITH” is a price swing with one lower STH to the right and one lower STH to the left of it.
Intermediate-Term Low “ITL” is a price swing with one higher STL to the right and one higher STL to the left of it.
Long-Term High “LTH” is a price swing with one lower ITH to the right and one lower ITH to the left of it.
Long-Term Low “ITL” is a price swing with one higher ITL to the right and one higher ITL to the left of it.
By identifying key highs and lows using the Market Structure Indicator, it can be used in multiple ways by using those reference points as follows:
1. Identifying Market Trends by Connecting Key Highs and Lows.
Bullish trend identification is when the indicator is making higher ITLs and ITHs.
Bearish Trend identification when the indicator is making lower ITLs and ITHs.
PS: it’s essential to understand the underlying market trend on multiple timeframes to use the next features correctly. Always use the Shifts and Breaks in Market Structures in line with the 1H or higher timeframes Market Trend for higher probability trade opportunities. This is because, generally, higher timeframes have more importance than lower timeframes.
2. Shift In Market Structure - SMS for Entries
A Shift in Market Structure “SMS” identifies potential reversal in short-term market trend relative to the timeframe where the SMS is identified.
This occurs after a run of any Significant Swing High or Low and then reversing, creating a Fair Value Gap “FVG”.
There can be Bullish and Bearish Market Structure Shifts.
When a Bullish Shift in Market Structure occurs, the indicator identifies an opportunity for the price to change from Bearish to Bullish, as seen in the image below.
When a Bearish Shift in Market Structure occurs, the indicator identifies an opportunity for the price to change from Bullish to Bearish.
3. Break In Market Structure - BMS for Entries
A Break in Market Structure “BMS” has a similar function to the Shift in Market Structure “SMS”; however, when it occurs, it identifies a potential longer-term trend reversal (compared to the SMS) relative to the timeframe where the BMS is identified.
Unlike “SMS”, the BMS occurs after a run only after a run on Key Highs or Lows.
Similar to the SMS, there can be Bullish and Bearish Breaks in Market Structure.
When a Bullish Break in Market Structure occurs, the indicator identifies an opportunity for a longer-term trend change from Bearish to Bullish, as seen in the image below.
The FVG must occur in the lower 50% of the impulse price leg (at Discount).
When a Bearish Break in Market Structure occurs, the indicator identifies an opportunity for a longer-term trend change from Bullish to Bearish.
The FVG must occur in the upper 50% of the impulse price leg (at Premium).
4. Inversion Break and Shift in Market Structure for Early Entries
Inversion “BMS” and “SMS” are similar to the normal SMS and BMS, but they occur:
Bullish: When the FVG of the Bearish BMS/SMS forms in the lower 50% of the impulse price leg (at Discount).
We use the FVG that forms from the Bearish SMS/BMS as an inversion FVG for potential entry after market trend change from Bearish to Bullish.
Bearish: When the FVG of the Bullish BMS/SMS forms in the upper 50% of the impulse price leg (at Premium).
We use the FVG that forms from the Bullish SMS/BMS as an inversion FVG for potential entry after market trend change from Bullish to Bearish.
5. Multi Time Frame analysis
The indicator allows multiple timeframe perspectives to be considered when using it.
The key Highs and Lows have significance not only on the current timeframe they are identified but also on lower or higher timeframes simultaneously.
This is because a ITL/ITH on the 1H means
It’s a LTL/LTH on one or more timeframes lower (15Min, 5M, and 1Min).
And at the same time, it’s a STL/STH on one timeframe higher (4H)
Also, it’s a Significant Low/High (marked with a dot) on two timeframes higher (Daily).
The same logic applies to all other Key Highs and Lows.
Another example is a Significant Low/High (swing marked with a dot below or above it) on the current timeframe (1D) means it’s a STL/STH on one timeframe lower (4H) and an ITL/ITH on two timeframes lower (1H) and a LTH/LTH on three timeframes lower or more (15M, 5M, 1Min, 30 Seconds, etc…).
This Multi-time frame analysis is a great way to help traders understand Market Structure and Market trend on multiple timeframes simultaneously, and it also assists in Top-down analysis.
PS: Note that this multi-timeframe analysis approach and logic can be applied to any timeframe and for any type of trading (swing trading, day trading, scalping, or short-term trading) because the price is fractal.
For example, if a trader is a swing trader, then it’s best to identify trader opportunities on the 1H or higher; however, lower timeframes Market Structure can still be used to help the traders refine their entries and target key highs and lows in the opposite direction.
If a trader is a day trader or a scalper, the trader could use Market Structure on 15M or lower to identify trader opportunities and target key highs and lows in the opposite direction.
6. Setting Targets
The indicator can also be used to identify potential targets after the SMS or BMS occurs. Targets can be chosen above Key Highs or Lows depending on the trade objective and timeframe where the trade idea is identified.
Bonus Features
Highlight Market Structure Trend
This feature is an excellent backtesting visual tool to look at changes in market trends highlighted in colours. These changes are based on the Shift or Break in of Market Structure depending on the selection option.
When "Shift/Break" in Market Structure" is selected, a Bullish trend is highlighted in blue when a Bullish Shift/Break in Market Structure Occurs and in Red when a Bearish Shift/Break in Market Structure Occurs.
Notifications
Sends notifications when there is a Shift or Break in Market Structure on the current timeframe of choice.
RSI 11 IndicatorThis script explains how RSI can be used to catch market moves in trend, reversal or sideways market.
What is RSI indicator:-
RSI is a momentum oscillator which measures the speed and change of price movements. RSI moves up and down (oscillates) between ZERO and 100. Generally RSI above 70 is considered overbought and below 30 is considered oversold. Some traders may use a setting of 20 and 80 for oversold and overbought conditions respectively. However this may reduce the number of signals. You can also use RSI to identify divergences, strength, reversals, general trend etc.
Calculation:-
There are three basic components in the RSI - Avg Gain, Avg Loss & RS.
Avg Gain = Average of Upward Price Change
Avg Loss = Average of Downward Price Change
RS = (Avg Gain)/(Avg Loss)
RSI = 100 – (100 / (1 +RS ))
First Calculation:-
RSI calculation is based on default 14 periods.
Average gain and Average loss are simple 14 period averages.
Average Loss equals the sum of the losses divided by 14 for the first calculation.
Average Gain equals the sum of the Gains divided by 14 for the first calculation.
First Average Gain = Sum of Gains over the past 14 periods / 14.
First Average Loss = Sum of Losses over the past 14 periods / 14.
The formula uses a positive value for the average loss.
RS values are smoothed after the first calculation.
Second Calculation:-
Subsequent calculations multiply the prior value by 13, add the most recent value, and divide the total by 14.
Average Gain = / 14.
Average Loss = / 14.
if
Average Loss = 0, RSI = 100 (means there were no losses to measure).
Average Gain = 0, RSI = 0 (means there were no gains to measure).
Logic of this indicator:-
RSI is an oscillator that fluctuates between zero and 100 which makes it easy to use for many traders.
Its easy to identify extremes because RSI is range-bound.
But remember that RSI works best in range bound market and is less trustworthy in trending markets.
A new trader need to be cautious because during strong trends in the market/security, RSI may remain in overbought or oversold for extended periods.
Chart Timeframe:-
RSI indicator works well on all timeframes.
Timeframe depends on which strategy or settings are you using.
Generally a lower timeframe like 1 min, 3 min, 5 min, 15 min, 30 min, 1 Hr etc is used for intraday trades or short duration trades
and higher timeframes like 1 day, 1 week, 1 month are used for positional or long term trades.
Please Read the Idea "Mastering RSI with 11 Strategies" to understand this indicator better.
Indicator 1
Basis Strategy of Overbought and Oversold
Usually an asset with RSI reading of 70 or above indicates a bullish and an overbought situation.
overbought can be seen as trading at a higher price than it should.
traders may expect a price correction or trend reversal and sell the security.
but RSI indicator can stay in the overbought for a long time when the stock is in uptrend - This may trap an immature trader.
an Immature trader will enter a sell position when RSI become overbought (70), whereas a mature trader will enter sell position when RSI line crosses below the overbought line (70).
An asset with RSI reading of 30 or below indicates a bearish and an oversold condition.
oversold can be seen as trading at a lower price than it should.
traders may expect a price correction or trend reversal and buy the security.
but RSI indicator can stay in the oversold for a long time when the stock is in downtrend - This may trap an immature trader.
an Immature trader will enter a buy position when RSI become oversold (30), whereas a mature trader will enter buy position when RSI line crosses above the oversold line (30).
Center dotted Mid line is RSI 50.
Chart RSI is shown in yellow colour.
Red shaded area above the red horizontal line shows the stock or security has entered overbought condition. "R" signal in red shows a likely downside reversal, means it may be a likely Selling opportunity.
Green shaded area below the green horizontal line shows the stock or security has entered oversold condition. "R" signal in green shows a likely upside reversal, means it may be a likely Buying opportunity.
Note:-
so its better to wait for reversal signal.
traders may use 20 instead of 30 as oversold level and 80 instead of 70 as overbought level.
new traders may learn to use the indicator as per the prevailing trend to get better results.
false signals may be avoided by using bullish signals in bullish trend and bearish signals in bearish trend.
Indicator 2
RSI Strength Crossing 50
RSI crossing centreline 50 in the below chart showing strength and buy/sell signal.
Centre line is at RSI 50.
if RSI is above 50 its considered bullish trend. (increasing strength)
if RSI is below 50 its considered bearish trend. (decreasing strength)
RSI crossing centre line (50) upside may be a buy signal.
RSI crossing centre line (50) downside may be a sell signal.
"B" signal in green colour shows that RSI is crossing above Mid 50 horizontal line, which may be a likely Buy signal.
"S" signal in red colour shows that RSI is crossing below Mid 50 horizontal line, which may be a likely Sell signal.
Indicator 3
RSI 40 and RSI 60 Support and Resistance
RSI 40 acting as support in the below chart
In an uptrend RSI tends to remain in the 40 to 90 range with 40 as support (buying opportunity at support).
RSI 60 acting as resistance in the below chart
In a downtrend RSI tends to remain in 10 to 60 range with 60 as resistance (selling opportunity at resistance).
"40" signal in green colour shows that RSI is crossing above 40 horizontal line, which may be a likely Support in making and a Buy signal.
"60" signal in red colour shows that RSI is crossing below 60 horizontal line, which may be a likely Resistance in making and a Sell signal.
Note:-
These ranges may change depending on RSI settings and change in the market trend.
Indicator 4
RSI Divergence
Below chart shows a simple example of Bullish Divergence and Bearish Divergence.
An RSI divergence occurs when price moves in the opposite direction of the RSI.
A bullish divergence is when price is falling but RSI is rising. which means RSI making higher lows and price making lower lows (buy signal).
A bearish divergence is when price is rising but RSI is falling. which means RSI making lower high and price making higher highs (sell signal).
Divergences are more strong when appear in an overbought or oversold condition.
There may be many false signals during a strong uptrend or strong downtrend.
In a strong uptrend, RSI may show many false bearish divergences before finally reversing down.
same way in a strong downtrend, RSI may show many false bullish divergences before finally reversing up.
"Bull Div" signal along with divergence line in green colour shows Bullish Divergence, which may be a likely Buy signal.
"Bear Div" signal along with divergence line in red colour shows Bearish Divergence, which may be a likely Sell signal.
Indicator 5
Double Top & Double Bottom
Double Bottom = RSI goes below oversold (30). RSI comes back above 30. RSI falls back again towards 30 and again rise making a Double bottom. its a signal of buying and likely upside reversal.
Double Top = RSI goes above overbought (70). RSI comes back below 70. RSI rises back again towards 70 and again fall making a Double top. its a signal of selling and likely downside reversal.
Double Bottom is shown with Green Dashed line joining two low's of RSI indicating a likely Buy Signal.
Double Top is shown with Red Dashed line joining two High's of RSI indicating a likely Sell Signal.
Indicator 6
Trendline Support and Resistance
Below chart shows RSI Trendline Resistance and Support
RSI resistance trendline = Connect three or more points on the RSI line as it falls to draw a RSI downtrend line (RSI resistance trendline).
Everytime it takes resistance from a RSI downtrend line its a selling opportunity.
RSI support trendline = Connect three or more points on the RSI line as it rises to draw a RSI uptrend line (RSI support trendline).
Everytime it takes support on a RSI uptrend line its a buying opportunity.
RSI Resistance trendline shown in Red colour indicating a likely fall again after rejection from this Red trendline till the time RSI breaks above it to change the trend from Bearsih to Bullish.
RSI support trendline shown in Green colour indicating a likely Rise again after support from this Green trendline till the time RSI breaks below it to change the trend from Bullish to Bearish.
Indicator 7
Trendline Breakout and Breakdown
Below chart shows RSI Trendline Breakout and Breakdown
RSI resistance trendline Breakout = Connect three or more points on the RSI line as it falls to draw a RSI downtrend line (RSI resistance trendline).
Whenever it breakout above RSI resistance trendline its a buying opportunity.
RSI support trendline Breakdown = Connect three or more points on the RSI line as it rises to draw a RSI uptrend line (RSI support trendline).
Whenever it breakdown below RSI support trendline its a selling opportunity.
Note:-
Correlate both the RSI and the closing price to ensure proper breakout or breakdown.
Challenge is to correctly identify if a breakout or breakdown is sustainable or its a false signal.
Indicator 8
RSI Crossover same timeframe
RSI with two different RSI length crossing each other on same timeframe.
when lower RSI length crossing above higher RSI length its a buy signal.
when lower RSI length crossing below higher RSI length its a sell signal.
for example RSI with length 7 & length 14 on 15 Minutes timeframe.
Green Cross shows that Fast RSI is crossing above Slow RSI on the same timeframe with different RSI length Settings, which means it may be a likely Buy Signal.
Red Cross shows that Fast RSI is crossing below Slow RSI on the same timeframe with different RSI length Settings, which means it may be a likely Sell Signal.
Indicator 9
RSI Crossover Multi timeframe
RSI with same RSI length but on two different timeframes crossing each.
when lower timeframe RSI crossing above higher timeframe RSI its a buy signal.
when lower timeframe RSI crossing below higher timeframe RSI its a sell signal.
for example RSI with length 14 on 5 Minutes and 1 Hr timeframes.
Green Cross shows that Lower Timeframe RSI is crossing above Higher Timeframe RSI with same RSI length Settings, which means it may be a likely Buy Signal.
Red Cross shows that Lower Timeframe RSI is crossing below Higher Timeframe RSI with same RSI length Settings, which means it may be a likely Sell Signal.
Indicator 10
RSI EMA/WMA/SMA Crossover
when RSI crossing above EMA/WMA/SMA its a buy signal.
when RSI crossing below EMA/WMA/SMA its a sell signal.
Green Circle shows that RSI is crossing above EMA/WMA/SMA etc, which means it may be a likely Buy Signal.
Red Circle shows that RSI is crossing below EMA/WMA/SMA etc, which means it may be a likely Sell Signal.
Indicator 11
RSI with Bollinger bands
Bollinger bands and RSI complimenting each other and giving a Buy and Sell signal in below chart
if a security price reaches upper band of a Bollinger Band channel and also the RSI is above 70 (overbought), a trader can look for selling opportunities (reversal) (sell).
but in case price reaches upper band of a Bollinger Band channel but RSI is not above 70 (overbought), there may be chance that security remains in an uptrend, so a trader may wait before entering a sell position.
if a security price reaches lower band of a Bollinger Band channel and also the RSI is below 30 (oversold), a trader can look for buying opportunities (reversal) (buy).
but in case price reaches lower band of a Bollinger Band channel but RSI is not below 30 (oversold), there may be chance that security remains in an downtrend, so a trader may wait before entering a buy position.
so bollinger band with RSI can give a double confirmation on a reversal.
Buy Signal = If the RSI is below Green Horizontal line (Oversold zone) and also below Lower Bollinger Band it indicates that an upside reversal may come, which means that it may be a likely Buy Signal.
Sell Signal = If the RSI is above Red Horizontal line (Overbought zone) and also above Upper Bollinger Band it indicates that an Downside reversal may come, which means that it may be a likely Sell Signal.
Special Thanks to //© HoanGhetti for RSI Trendlines.
Limitations of the RSI:-
RSI works best in range bound market and is less trustworthy in trending markets.
So new traders may get trapped in an uptrend or a downtrend if they forget to see the overall long term trend of that security.
Traders should set stop loss and take profit levels as per risk reward ratio.
Note:
Don't confuse RSI and relative strength. RSI is changes in the price momentum of a security.
whereas relative strength compares the price performance of two or more securities.
Like other technical indicators, RSI also is not a holy grail. It can only assist you in building a good strategy. You can only succeed with proper position sizing, risk management and following correct trading Psychology (No overtrade, No greed, No revenge trade etc).
THIS INDICATOR OF RSI IS FOR EDUCATIONAL PURPOSE AND PAPER TRADING ONLY. YOU MAY PAPER TRADE TO GAIN CONFIDENCE AND BUILD FURTHER ON THESE. PLEASE CONSULT YOUR FINANCIAL ADVISOR BEFORE INVESTING. WE ARE NOT SEBI REGISTERED.
Hope you all like it
happy learning.
Multi Timeframe Trend StrengthThis code is an advancement of my previous percentile-based trend strength. It follows the same concept, except this code display the trend and trend strength in multiple timeframe (1 min, 5 min, 15 min, 1hr and 4hr).
This gives an indication of the trend is evolving and allows to see how short-term trend matches with the long-term trend.
How it works:
The script assesses trend strength through percentile values derived from high and low prices across various time periods. It categorizes the current trend as either Bullish, Bearish, or N/A (No Trend) with the following steps:
Percentile Calculations: The code calculates the 75th percentile of high prices (e.g., percentile_13H) and the 25th percentile of low prices (e.g., percentile_13L) for specified Fibonacci-based periods (13, 21, 34, 55, 89, and 144). These percentiles serve as thresholds for identifying strong trends.
Calculate Highest High and Lowest Low: It computes the highest high (75th percentile high price of the longest period) and lowest low (25th percentile low price of the longest period), referred to as highest_high and lowest_low. These values establish critical price levels.
Trend Strength Conditions: For each percentile and period, the code checks if the percentile exceeds the highest high (trendBull) or falls below the lowest low (trendBear). These conditions gauge the strength of bullish and bearish trends.
Count Bull and Count Bear: Variables countBull and countBear tally the number of bullish and bearish conditions met, helping assess trend strength.
Weak Bull and Weak Bear Count: The code calculates weak bullish and bearish conditions, occurring when percentiles fall within the range defined by highest_high and lowest_low but don't meet strong trend criteria.
Bull Strength and Bear Strength: bullStrength and bearStrength are calculated based on counts of bullish, bearish, weak bullish, and weak bearish conditions, representing overall trend strength.
Strong Bull and Bear Conditions: These conditions arise when the 75th percentile of high prices (bull conditions) or the 25th percentile of low prices (bear conditions) surpass or dip below the highest high or lowest low, respectively, for the specified period. Strong conditions indicate robust trends with significant price movements.
Weak Bull and Bear Conditions: Weak conditions occur when percentiles fall within the range between highest_high and lowest_low, suggesting some bullish or bearish tendencies without reaching extreme levels. These imply less decisive trends.
Current Trend Identification: The current trend is determined by comparing bullStrength and bearStrength. A greater bullStrength indicates a Bull trend, greater bearStrength implies a Bear trend, and equal values denote No Trend (N/A).
Percentile Based Trend StrengthThe "Percentile Based Trend Strength" (PBTS) calculates trend strength based on percentile values of high and low prices for various length periods and then identifies the current trend as either Bullish, Bearish, or N/A (No Trend). Here's a step-by-step explanation of the code:
Percentile Calculations:
For each specified length period (13, 21, 34, 55, 89, and 144 - Fibonacci numbers), the code calculates the 75th percentile of high prices (e.g., percentile_13H) and the 25th percentile of low prices (e.g., percentile_13L). These percentiles represent levels that prices need to exceed or fall below to indicate a strong trend.
Calculate Highest High and Lowest Low:
The highest high (75th percentile high price of longest length) and lowest low (25th percentile low price of longest length) for the longest length period (144) are calculated as highest_high and lowest_low. These values represent threshold price levels .
Trend Strength Conditions:
The code calculates various conditions to determine trend strength. For each percentile value and each length period, it checks if the percentile value is greater than the highest high (trendBull) or less than the lowest low (trendBear). These conditions are used to assess the strength of the bullish and bearish trends.
Count Bull and Count Bear:
The countBull and countBear variables count the number of bullish and bearish conditions met, respectively. These counts help evaluate trend strength.
Weak Bull and Weak Bear Count:
The code calculates the number of weak bullish and bearish conditions. Weak conditions occur when a percentile value falls within the range defined by the highest high and lowest low but doesn't meet the strong trend criteria.
Bull Strength and Bear Strength:
bullStrength and bearStrength are calculated based on the counts of bullish, bearish, weak bullish, and weak bearish conditions. These values represent the overall strength of the bullish and bearish trends.
Strong Bull and Bear Conditions:
These conditions occur when the 75th percentile of high prices (for bull conditions) or the 25th percentile of low prices (for bear conditions) exceeds or falls below the highest high or lowest low, respectively, for the specified length period.
Strong bull conditions indicate a strong upward trend, while strong bear conditions indicate a strong downward trend.
Strong conditions are indicative of more significant price movements and are considered as primary signals of trend strength.
Weak Bull and Bear Conditions:
Weak bull and bear conditions are more nuanced. They occur when the 75th percentile of high prices (for weak bull conditions) or the 25th percentile of low prices (for weak bear conditions) falls within the range defined by the highest high and lowest low for the specified length period.
In other words, prices are not strong enough to reach the extreme levels represented by the highest high or lowest low, but they still exhibit some bullish or bearish tendencies within that range.
Weak conditions suggest a less robust trend. They may indicate that while there is some bias toward a bullish or bearish trend, it is not as strong or decisive as in the case of strong conditions.
Current Trend Identification:
The current trend is determined by comparing bullStrength and bearStrength. If bullStrength is greater, it's considered a Bull trend; if bearStrength is greater, it's a Bear trend. If they are equal, the trend is identified as N/A (No Trend).
Displaying Trend Information:
The code creates a table to display the current trend, reversal probability (strength), count of bullish and bearish conditions, weak bullish and weak bearish counts, and colors the text accordingly.
Plotting Percentiles:
Finally, the code plots the percentile lines for visualization, with 20% transparency. It also plots the highest high and lowest low lines (75th and 25th percentile of the longest length 144) using their original colors.
In summary, this indicator calculates trend strength based on percentile levels of high and low prices for different length periods. It then counts the number of bullish and bearish conditions, factors in weak conditions, and compares the strengths to identify the current trend as Bullish, Bearish, or No Trend. It provides a table with trend information and visualizes percentile lines on the chart.
DOW 30 - Market BreadthDOW 30 indicator is intended for short-term intraday analysis and should not be used solely alone. Best to use this indicator in a combination with technical and fundamental analysis.
This indicator is calculated from all stocks in the DJI as of 8/9/2022;
- Evaluating VWAP,
- 9 EMA,
- 20 EMA.
Vwap Calculations;
Stock above Vwap = 1 (Vwap Bull),
Stock below Vwap = 1 (Vwap Bear),
As there are 30 stocks in the DJI, there is a max value of 30 Vwap Bulls/ Vwap Bears.
Ema Calculation;
Stock above 9 EMA = 0.5 (EMA Bulls),
Stock below 9 EMA = 0.5 (EMA Bears),
Stock above 20 EMA = 0.5 (EMA Bulls),
Stock below 20 EMA = 0.5 (EMA Bears),
For the EMA Bulls to reach 30 all stocks must be trading above both the 9 EMA and 20 EMA to reach a Max Value of 30.
The reasoning for this calculation is to suggest the current strength and speed of the current turn in the market.
Horizontal Lines:
There are three horizontal lines, MAX, MIN & Neutral;
MAX & MIN
Resides at the 30 & 0 levels suggesting the market is currently at an extreme. Representing all stocks are moving in the same direction together.
When the MAX or MIN are represented in the VWAP Line this represents directional conviction in the underlining DJI.
Neutral
Neutral resides at the 15 level and represents that the market is either about to make a decision or is choppy.
EXAMPLE
Below are some examples of how the DOW 30 indicator is able to represent the current market conditions.
Understand Current Market Conditions, either being Bullish, Neutral, or Bearish.
See live Market Mechanics, and understand the current market direction on a short-term timeframe.
DOW 30 indicator is intended for short-term intraday analysis and should not be used solely alone. Best to use this indicator in a combination with technical and fundamental analysis.
If there are any additional requests to the indicator feel free to leave a comment or privet message.
Best of luck trading.
Cyclic Smoothed RSI with Motive-Corrective Wave Indicator
This indicator uses the cyclic smoothed Relative Strength Index (cRSI) instead of the traditional Relative Strength Index (RSI). See below for more info on the benefits to the cRSI.
My key contributions
1) A Weighted Moving Average (WMA) to track the general trend of the cRSI signal. This is very helpful in determining when the equity switches from bullish to bearish, which can be used to determine buy/sell points. This is then is used to color the region between the upper and lower cRSI bands (green above, red below).
2) An attempt to detect the motive (impulse) and corrective and waves. Corrective waves are indicated A, B, C, D, E, F, G. F and G waves are not technically Elliot Waves, but the way I detect waves it is really hard to always get it right. Once and a while you could actually see G and F a second time. Motive waves are identified as s (strong) and w (weak). Strong waves have a peak above the cRSI upper band and weak waves have a peak below the upper band.
3) My own divergence indicator for bull, hidden bull, bear, and hidden bear. I was not able to replicate the TradingView style of drawing a line from peak to peak, but for this indicator I think in the end it makes the chart cleaner.
There is a latency issue with an indicator that is based on moving averages. That means they tend to trigger right after key events. Perfect timing is not possible strictly with these indicators, but they do work very well "on average." However, my implementation has minimal latency as peaks (tops/bottoms) only require one bar to detect.
As a bit of an Easter Egg, this code can be tweaked and run as a strategy to get buy/sell signals. I use this code for both my indicator and for trading strategy. Just copy and past it into a new strategy script and just change it from study to a strategy, something like this:
strategy("cRSI + Waves Strategy with VWMA overlay", overlay=overlay)
The buy/sell code is at the end and just needs to be uncommented. I make no promises or guarantees about how good it is as a strategy, but it gives you some code and ideas to work with.
Tuning
1) Volume Weighted Moving Average (VWMA): This is a “hidden strategy” feature implemented that will display the high-low bands of the VWMA on the price chart if run the code using “overlay = true”.
- If the equity does not have volume, then the VWMA will not show up. Uncheck this box and it will use the regular WMA (no volume).
- defines how far back the WMA averages price.
2) cRSI (Black line in the indicator)
- Increase to length that amount of time a band (upper/lower) stays high/low after a peak. Reduce the value to shorten the time. Just increment it up/down to see the effect.
- defines how far back the SMA averages the cRSI. This affects the purple line in the indicator.
- defines how many bars back the peak detector looks to determine if a peak has occurred. For example, a top is detected like this: current-bar down relative to the 1-bar-back, 1-bar-back up relative to 2-bars-back (look back = 1), c) 2-bars-back up relative to 3-bars-back (lookback = 2), and d) 3-bars-back up relative to 4-bars-back (lookback = 3). I hope that makes sense. There are only 2 options for this setting: 2 or 3 bars. 2 bars will be able to detect small peaks but create more “false” peaks that may not be meaningful. 3 bars will be more robust but can miss short duration peaks.
3) Waves
- The check boxes are self explanatory for which labels they turn on and off on the plot.
4) Divergence Indicators
- The check boxes are self explanatory for which labels they turn on and off on the plot.
Hints
- The most common parameter to change is the . Different stocks will have different levels of strength in their peaks. A setting of 2 may generate too many corrective waves.
- Different times scales will give you different wave counts. This is to be expected. A counter impulse wave inside a corrective wave may actually go above the cRSI WMA on a smaller time frame. You may need to increase it one or two levels to see large waves.
- Just because you see divergence (bear or hidden bear) does not mean a price is going to go down. Often price continues to rise through bears, so take note and that is normal. Bulls are usually pretty good indicators especially if you see them on C,E,G waves.
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cyclic smoothed RSI (cRSI) indicator
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The “core” code for the cyclic smoothed RSI (cRSI) indicator was written by Lars von Theinen and is subject to the terms of the Mozilla Public License 2.0 at mozilla.org Copyright (C) 2017 CC BY, whentotrade / Lars von Thienen. For more details on the cRSI Indicator:
The cyclic smoothed RSI indicator is an enhancement of the classic RSI, adding
1) additional smoothing according to the market vibration,
2) adaptive upper and lower bands according to the cyclic memory and
3) using the current dominant cycle length as input for the indicator.
It is much more responsive to market moves than the basic RSI. The indicator uses the dominant cycle as input to optimize signal, smoothing, and cyclic memory. To get more in-depth information on the cyclic-smoothed RSI indicator, please read Decoding The Hidden Market Rhythm - Part 1: Dynamic Cycles (2017), Chapter 4: "Fine-tuning technical indicators." You need to derive the dominant cycle as input parameter for the cycle length as described in chapter 4.
Hope this helps and good luck.
9 Seasons Rainbow Indicator PRO [GO8686]Trading on 5 minutes frame can be as reasonable as on 4H frame, use 9 Seasons Rainbow Indicator PRO for both.
5分钟维度的交易可以与4小时维度一样合理，请使用9季彩虹指标 PRO 。
Market is full of life, with seasons.
9 Seasons Rainbow Indicator displays 9 seasons of any trading instrument in multiple time frames, helping traders and investors understand the flow of price.
The combination of seasons in different time dimensions may give perfect trading signals, for instance: overbought in both small time frame and big time frame has high success probability of shorting trade.
Please install the indicator: Demo, PRO or STANDARD Version. Apply the indicator to your favorites trading instruments: indices, stocks, futures , forex or crypto currencies. Find your patterns that make money.
---------- 9 Seasons ----------
Bull(Green), evolves into BullRest, OverBought, Bear, or Neutral
Bull Rest(Light Green): a pullback or retracement, evolves into Bull or Bear
OverBought(Yellow): may have defined a top or resistance, can happen in range, evolves into CrazyBought or Bear
CrazyBought(Lime): going up in a high volatility , evolves into Bear, OverBought, or BullRest
Neutral(White): a wandering season without direction, evolves into Bull or Bear
Bear(Red), evolves into BearRest, OverSold, Bull or Neutral
Bear Rest(Light Red): a bounce, evolves into Bear or Bull
OverSold(Blue): may have defined a bottom or support, can happen in range, evolves into CrazySold or Bull
CrazySold(Fuchsia): going down in a high volatility , evolves into Bull, OverSold, or BearRest
---------- Some important evolutions of seasons ----------
OverBought -> CrazyBought: can happen with a breakout
CrazyBought -> OverBought or Bear: could mean fading of a breakout
CrazyBought -> BullRest: can happen after rising over a new level
OverSold -> CrazySold: can happen with a breakdown
CrazySold -> OverSold or Bear: could mean fading of a breakdown
CrazySold -> BearRest: can happen after dropping to a new level
---------- Rainbow Ribbons for multiple time frames ----------
Each ribbon of the rainbow represents a time frame,
The difference between two frames is 1.4142 fold (square root of 2), if level 1 is 15 M, level 2 is 15 * (square root of 2) M. level 3 is 15*2 M, level 4 is 30 * (square root of 2) M, level 5 is 30 * 2 m etc.
The uppermost ribbon represents the smallest time frame - current time period of the chart.
The lower ribbons represent bigger time frames, which work as context.
Examples for time frame rainbow:
For DEMO in 30M: 30M - 42M - 60M(1H) - 85M - 120M(2H) - 170M - 240M(4H) - 339M
For STANDARD in 15M: 15M - 21M - 30M - 42M - 60M(1H) - 85M - 120M(2H) - 170M
For PRO in 15M: 15M - 21M - 30M - 42M - 60M(1H) - 85M - 120M(2H) - 170M - 240M(4H) - 339M - 480M(8H) - 679M
---------- Versions Description ----------
The features may change later, please refer to latest update.
PRO:
PRO version of 9 Seasons Rainbow Indicator is invite-only, with the following advanced features:
12 Ribbon Rainbow lets you discover trading opportunities hidden in the 1.4142 fold time dimension while monitoring market conditions spanning 45 times.
Advanced alert sets allows you set alerts for Overbought, Crazybought, OverSold, CrazySold on low, medium, and high time frames.
Option to input different trading instrument to compare with the current ticker.
Full time periods access allows you to watch the market on broadest time dimensions.
More new features in updates.
STANDARD:
This is STANDARD version of 9 Seasons Rainbow Indicator, invite-only, with the following advanced features:
8 Ribbon Rainbow lets you discover trading opportunities hidden in the 1.4142 fold time dimension while monitoring market conditions spanning 11 times.
Advanced alert sets allows you set alerts for Overbought, Crazybought, OverSold, CrazySold on upper and lower time frames.
Broad time periods access allows you to watch the market on popular time dimensions from 15M - 1D,2D,3D,4D,5D,6D,1W.
More new features in updates.
DEMO:
A DEMO of Standard version for trial purpose, having most the functions except alert preset conditions.
It is applicable to a list of trading instruments and specific time periods(30m-1D), which may change later. please refer to latest updates.
---List of tickers applicable for Demo version.
Currency Index:AXY, BXY , CXY , DXY , EXY , JXY , SXY , ZXY ,
Stock Index:SPX,TSX, DAX , NI225 ,KOSPI,399001, SHCOMP , HSI , XJO , TAIEX , SX5E ,
Crypto:BTCUSD
Commodity:BCOUSD, GOLD
---------- Access to Indicators ----------
Please use DEMO version to taste the indicator.
Please contact the author for access to PRO or Standard versions.
---------- About Loading Time ----------
It may take up to 2 minutes for your browser to load a new setting, depending on the your computer and network speed.
---------- List of the author's Indicators ----------
tradingview.com/u/go8686/#published-scripts
---------- Disclaim ----------
By using or requesting access to this indicator, you acknowledge that you have read and accepted that this indicator is for study purposes only and it does NOT guarantee you will make money.
I am not financial adviser and I am NOT responsible for any profits or losses you may incur by using this indicator!
Users should make their own decisions, carefully assess risks and be responsible for investment and trading activities.
The latest updates override the previous description. Please check the updates.
9季彩虹指标 PRO
市场充满生机。
9季彩虹指标在多个时间维度上显示任何交易品种的9个季节交替，帮助交易者和投资者了解价格流动。
不同时间维度的季节组合可以给出完美的交易信号，例如：在小时间框架和大时间框架上同时出现超买具有很高的卖空交易成功概率。
请安装指标：DEMO,STANDARD 或者 PRO 版本. 应用指标到您的交易品种：证券，期货，外汇或者加密货币。找到属于您的盈利模式。
---------- 季节的定义 ----------
牛（绿色），可以演变到牛市回调，超买，熊 或者 中性
牛市回调(淡绿色）：可以演变到牛或者熊
超买(黄色),可能刚刚定义了一个头部或者阻力区，可以发生在盘整期，可以演变到狂买或者熊
狂买（亮绿色）：高波动性上涨，可以演变到熊，超买或者牛市回调
中性（白色）: 没有方向的徘徊期，可以演变到牛或者熊
熊（红色），可以演变到熊市反弹，超卖，牛 或者 中性
熊市反弹（淡红色），可以演变到熊或者牛
超卖（蓝色），可能刚刚定义了一个底部或者支撑，可以发生在盘整期，可以演变到狂卖或者牛
狂卖（紫红色），高波动性下跌，可以演变到牛，超卖 或者熊市反弹
一些重要的季节交替
超买 -> 狂买：可能发生在向上突破时
狂买 -> 熊 或者 超买：可能发生在突破失败时
狂买 -> 牛市回调: 可能发生在上平台后
超卖 -> 狂卖：可能发生在向下突破时
狂卖 -> 牛 或者 超卖：可能发生在突破失败时
狂卖 -> 熊市回调: 可能发生在下平台后
---------- 色带彩虹所代表的时间维度 ----------
每条色带代表一个时间维度。
色带间隔1.4142倍（2的开方），如果第一维度是15分钟，第二维度是15*1.4142=21分钟，第三维度是15*2=30分钟，以此类推。
最上面的色带代表最小的时间维度，也就是目前图表的时间维度
最下面的色带代表最大的时间维度。
例子：
演示版: 30m-42m-60m(1H)-85m-120m(2H)-170m-240m(4H)-339m
标准版: 15m-21m-30m-42m-60m(1H)-85m-120m(2H)-170m
专业版: 15m-21m-30m-42m-60m(1H)-85m-120m(2H)-170m-240m(4H)-339m-480m(8H)-679m
---------- 不同版本功能描述 ----------
这些特征及功能可能会发生变化，以更新为准。
---专业版PRO高级特征
12色带彩虹让您发现隐藏在1.4142时间维度的交易机会,同时监控时间跨度达四十五倍的市场状态
高级警报功能：允许您在低，中，高时间帧上设置超买，狂买，超卖，狂卖的警报。
可以输入不同的交易品种用于指标，便于与当前交易品种进行比较。
全时间维度（分钟到日线级别）给您全视角观察市场
更新中的更多新功能。
---标准版STANDARD特征
8色带彩虹让您发现隐藏在1.4142时间维度的交易机会,同时监控时间跨度达十一倍的市场状态
高级警报功能：允许您在低，高时间层级上设置超买，狂买，超卖，狂卖的警报。
宽时间维度（15分钟到日线级别）让您从更宽阔的视角观察市场
更新中的更多新功能。
--演示版DEMO
演示版用于标准版的演示和试用，适用于特定的资产列表和时间维度(30M-1D)，后续可能调整.
适用的品种列表
AXY , BXY , CXY , DXY , EXY , JXY , SXY , ZXY ,
SPX ,TSX, DAX , NI225 ,KOSPI,399001, SHCOMP , HSI , XJO , TAIEX , SX5E ,
BTCUSD , BCOUSD , GOLD
---------- 获得使用权 ----------
请使用演示版以初步了解指标的运行机理。
联系指标开发者以取得标准版和专业版的使用权
---------- 开发者的指标列表 ----------
tradingview.com/u/go8686/#published-scripts
---------- 加载时间 ----------
可能需要2分钟，取决于网络和电脑配置。
---------- 免责声明 ----------
在要求获得本指标使用权之前以及在使用本指标之前，用户认可已经完全了解和接受：本指标仅供研究目的， 它不提供任何赢利的可能性。
本指标的开发者并非专业投资顾问，因此不对用户的任何赢亏负责。
用户应独立判断，审慎评估并自负投资和交易风险！
最近的更新会覆盖之前的说明。 请参阅更新来查看指标的新特征和功能。
9 Seasons Rainbow Indicator STANDARD [GO8686]Market is full of life, with seasons.
9 Seasons Rainbow Indicator displays 9 seasons of any trading instrument in multiple time frames, helping traders and investors understand the flow of price.
The combination of seasons in different time dimensions may give perfect trading signals, for instance: overbought in both small time frame and big time frame has high success probability of shorting trade.
Please install the indicator: Demo, PRO or STANDARD Version. Apply the indicator to your favorites trading instruments: indices, stocks, futures , forex or crypto currencies. Find your patterns that make money.
---------- 9 Seasons ----------
Bull(Green), evolves into BullRest, OverBought, Bear, or Neutral
Bull Rest(Light Green): a pullback or retracement, evolves into Bull or Bear
OverBought(Yellow): may have defined a top or resistance, can happen in range, evolves into CrazyBought or Bear
CrazyBought(Lime): going up in a high volatility , evolves into Bear, OverBought, or BullRest
Neutral(White): a wandering season without direction, evolves into Bull or Bear
Bear(Red), evolves into BearRest, OverSold, Bull or Neutral
Bear Rest(Light Red): a bounce, evolves into Bear or Bull
OverSold(Blue): may have defined a bottom or support, can happen in range, evolves into CrazySold or Bull
CrazySold(Fuchsia): going down in a high volatility , evolves into Bull, OverSold, or BearRest
---------- Some important evolutions of seasons ----------
OverBought -> CrazyBought: can happen with a breakout
CrazyBought -> OverBought or Bear: could mean fading of a breakout
CrazyBought -> BullRest: can happen after rising over a new level
OverSold -> CrazySold: can happen with a breakdown
CrazySold -> OverSold or Bear: could mean fading of a breakdown
CrazySold -> BearRest: can happen after dropping to a new level
---------- Rainbow Ribbons for multiple time frames ----------
Each ribbon of the rainbow represents a time frame,
The difference between two frames is 1.4142 fold (square root of 2), if level 1 is 15 M, level 2 is 15 * (square root of 2) M. level 3 is 15*2 M, level 4 is 30 * (square root of 2) M, level 5 is 30 * 2 m etc.
The uppermost ribbon represents the smallest time frame - current time period of the chart.
The lower ribbons represent bigger time frames, which work as context.
Examples for time frame rainbow:
For DEMO in 30M: 30M - 42M - 60M(1H) - 85M - 120M(2H) - 170M - 240M(4H) - 339M
For STANDARD in 15M: 15M - 21M - 30M - 42M - 60M(1H) - 85M - 120M(2H) - 170M
For PRO in 15M: 15M - 21M - 30M - 42M - 60M(1H) - 85M - 120M(2H) - 170M - 240M(4H) - 339M - 480M(8H) - 679M
---------- Versions Description ----------
The features may change later, please refer to latest update.
STANDARD:
This is STANDARD version of 9 Seasons Rainbow Indicator, invite-only, with the following advanced features:
8 Ribbon Rainbow lets you discover trading opportunities hidden in the 1.4142 fold time dimension while monitoring market conditions spanning 11 times.
Advanced alert sets allows you set alerts for Overbought, Crazybought, OverSold, CrazySold on upper and lower time frames.
Broad time periods access allows you to watch the market on popular time dimensions from 15M - 1D,2D,3D,4D,5D,6D,1W.
More new features in updates.
PRO:
PRO version of 9 Seasons Rainbow Indicator is invite-only, with the following advanced features:
12 Ribbon Rainbow lets you discover trading opportunities hidden in the 1.4142 fold time dimension while monitoring market conditions spanning 45 times.
Advanced alert sets allows you set alerts for Overbought, Crazybought, OverSold, CrazySold on low, medium, and high time frames.
Option to input different trading instrument to compare with the current ticker.
Full time periods access allows you to watch the market on broadest time dimensions.
More new features in updates.
DEMO:
A DEMO of Standard version for trial purpose, having most the functions except alert preset conditions.
It is applicable to a list of trading instruments and specific time periods(30m-1D), which may change later. please refer to latest updates.
---List of tickers applicable for Demo version.
Currency Index:AXY, BXY , CXY , DXY , EXY , JXY , SXY , ZXY ,
Stock Index:SPX,TSX, DAX , NI225 ,KOSPI,399001, SHCOMP , HSI , XJO , TAIEX , SX5E ,
Crypto:BTCUSD
Commodity:BCOUSD, GOLD
---------- Access to Indicators ----------
Please contact the author for access to PRO or Standard versions.
---------- About Loading Time ----------
It may take up to 2 minutes for your browser to load a new setting, depending on the your computer and network speed.
---------- List of the author's Indicators ----------
tradingview.com/u/go8686/#published-scripts
---------- Disclaim ----------
By using or requesting access to this indicator, you acknowledge that you have read and accepted that this indicator is for study purposes only and it does NOT guarantee you will make money.
I am not financial adviser and I am NOT responsible for any profits or losses you may incur by using this indicator!
Users should make their own decisions, carefully assess risks and be responsible for investment and trading activities.
The latest updates override the previous description. Please check the updates.
9季彩虹指标 标准版 STANDARD
市场充满生机。
9季彩虹指标在多个时间维度上显示任何交易品种的9个季节交替，帮助交易者和投资者了解价格流动。
不同时间维度的季节组合可以给出完美的交易信号，例如：在小时间框架和大时间框架上同时出现超买具有很高的卖空交易成功概率。
请安装指标：DEMO,STANDARD 或者 PRO 版本. 应用指标到您的交易品种：证券，期货，外汇或者加密货币。找到属于您的盈利模式。
---------- 季节的定义 ----------
牛（绿色），可以演变到牛市回调，超买，熊 或者 中性
牛市回调(淡绿色）：可以演变到牛或者熊
超买(黄色),可能刚刚定义了一个头部或者阻力区，可以发生在盘整期，可以演变到狂买或者熊
狂买（亮绿色）：高波动性上涨，可以演变到熊，超买或者牛市回调
中性（白色）: 没有方向的徘徊期，可以演变到牛或者熊
熊（红色），可以演变到熊市反弹，超卖，牛 或者 中性
熊市反弹（淡红色），可以演变到熊或者牛
超卖（蓝色），可能刚刚定义了一个底部或者支撑，可以发生在盘整期，可以演变到狂卖或者牛
狂卖（紫红色），高波动性下跌，可以演变到牛，超卖 或者熊市反弹
一些重要的季节交替
超买 -> 狂买：可能发生在向上突破时
狂买 -> 熊 或者 超买：可能发生在突破失败时
狂买 -> 牛市回调: 可能发生在上平台后
超卖 -> 狂卖：可能发生在向下突破时
狂卖 -> 牛 或者 超卖：可能发生在突破失败时
狂卖 -> 熊市回调: 可能发生在下平台后
---------- 色带彩虹所代表的时间维度 ----------
每条色带代表一个时间维度。
色带间隔1.4142倍（2的开方），如果第一维度是15分钟，第二维度是15*1.4142=21分钟，第三维度是15*2=30分钟，以此类推。
最上面的色带代表最小的时间维度，也就是目前图表的时间维度
最下面的色带代表最大的时间维度。
例子：
演示版: 30m-42m-60m(1H)-85m-120m(2H)-170m-240m(4H)-339m
标准版: 15m-21m-30m-42m-60m(1H)-85m-120m(2H)-170m
专业版: 15m-21m-30m-42m-60m(1H)-85m-120m(2H)-170m-240m(4H)-339m-480m(8H)-679m
---------- 不同版本功能描述 ----------
这些特征及功能可能会发生变化，以更新为准。
---标准版STANDARD特征
8色带彩虹让您发现隐藏在1.4142时间维度的交易机会,同时监控时间跨度达十一倍的市场状态
高级警报功能：允许您在低，高时间层级上设置超买，狂买，超卖，狂卖的警报。
宽时间维度（15分钟到日线级别）让您从更宽阔的视角观察市场
更新中的更多新功能。
---专业版PRO高级特征
12色带彩虹让您发现隐藏在1.4142时间维度的交易机会,同时监控时间跨度达四十五倍的市场状态
高级警报功能：允许您在低，中，高时间帧上设置超买，狂买，超卖，狂卖的警报。
可以输入不同的交易品种用于指标，便于与当前交易品种进行比较。
全时间维度（分钟到日线级别）给您全视角观察市场
更新中的更多新功能。
--演示版DEMO
演示版用于标准版的演示和试用，适用于特定的资产列表和时间维度(30M-1D)，后续可能调整.
适用的品种列表
AXY , BXY , CXY , DXY , EXY , JXY , SXY , ZXY ,
SPX ,TSX, DAX , NI225 ,KOSPI,399001, SHCOMP , HSI , XJO , TAIEX , SX5E ,
BTCUSD , BCOUSD , GOLD
---------- 获得使用权 ----------
联系指标开发者以取得标准版和专业版的使用权
---------- 开发者的指标列表 ----------
tradingview.com/u/go8686/#published-scripts
---------- 加载时间 ----------
可能需要2分钟，取决于网络和电脑配置。
---------- 免责声明 ----------
在要求获得本指标使用权之前以及在使用本指标之前，用户认可已经完全了解和接受：本指标仅供研究目的， 它不提供任何赢利的可能性。
本指标的开发者并非专业投资顾问，因此不对用户的任何赢亏负责。
用户应独立判断，审慎评估并自负投资和交易风险！
最近的更新会覆盖之前的说明。 请参阅更新来查看指标的新特征和功能。
Order Flow Analysis [Master Alert]This script is a custom modification of the original "Order Flow Analysis" indicator by kingthies.
I have taken the original code and engineered a "Master Alert" system into it. Here is the breakdown of what this specific script does:
1. The Core Purpose: "One Ring to Rule Them All"
In the original script, if you wanted to catch every move, you would have to set up separate alerts for Divergences, Absorptions, Crosses, etc. This modified script combines all 8 possible signals into a single "Master Trigger."
2. What triggers the Alert?
The alert will fire if ANY of the following 4 events happen on a candle:
Divergence (The Arrows):
Green Arrow: Price makes lower low, Pressure makes higher low (Bullish).
Red Arrow: Price makes higher high, Pressure makes lower high (Bearish).
Absorption (The Transparent Bars):
Bull Absorption: Huge volume + Price won't drop (Hidden Buying).
Bear Absorption: Huge volume + Price won't rise (Hidden Selling).
Zero Line Crosses (The Sentiment Flip):
Bull Cross: Pressure score flips from Negative to Positive.
Bear Cross: Pressure score flips from Positive to Negative.
Strong Zones (Turbo Mode):
Strong Bull: Pressure score breaks above +50.
Strong Bear: Pressure score breaks below -50.
3. How to Use It
Add the script to your chart.
Create an Alert.
Select "Order Flow Master" as the Condition.
Select "MASTER ALERT (All Signals)".
Now, you will get a notification for every single significant event this indicator detects, without needing multiple alert slots.
Kinetic EMA & Volume with State EngineKinetic EMA & Volume with State Engine (EMVOL)
1. Introduction & Concept
The EMVOL indicator converts a dense family of EMA signals and volume flows into a compact “state engine”. Instead of looking at individual EMA lines or simple crossovers, the script treats each EMA as part of a kinetic vector field and classifies the market into interpretable states:
- Trend direction and strength (from a grid of prime‑period EMAs).
- Volume regime (expansion, contraction, climax, dry‑up).
- Order‑flow bias via delta (buy versus sell volume).
- A combined scenario label that summarises how these three layers interact.
The goal is educational: to help traders see that moving averages and volume become more meaningful when observed as a structure, not as isolated lines. EMVOL is therefore designed as a real‑time teaching tool, not as an automatic signal generator.
2. Volume Settings
Group: “Volume Settings”
A. Calculation Method
- Geometry (Source File) – Default mode.
Buy and sell volume are estimated from each candle’s geometry: the close is compared to the high/low range and the bar’s total volume is split proportionally between buyers and sellers. This approximation works on any TradingView plan and does not require lower‑timeframe data.
- Intrabar (Precise) – Reconstructs buy/sell volume using a lower timeframe via requestUpAndDownVolume(). The script asks TradingView for historical intrabar data (e.g., 15‑second bars) and builds buy/sell volume and delta from that stream. This mode can produce a more accurate view of order flow, but coverage is limited by your account’s history limits and the symbol’s available lower‑timeframe data.
B. Intrabar Resolution (If Precise)
- Intrabar Resolution (If Precise) – Selected only when the calculation method is “Intrabar (Precise)”. It defines which lower timeframe (for example 15S, 30S, 1m) is used to compute up/down volume. Smaller intrabar timeframes may give smoother and more granular deltas, but require more historical depth from the platform.
When “Intrabar (Precise)” is active, the dashboard’s extended section shows the resolution and the number of bars for which precise volume has been successfully retrieved, in the format:
- Mode: Intrabar (15S) – where N is the count of bars with valid high‑resolution volume data.
In Geometry mode this counter simply reflects the processed bars in the current session.
3. Kinetic Vector Settings
Group: “Kinetic Vector”
A. Vector Window
- Vector Window – Controls the temporal smoothing applied to the aggregated vectors (trend, volume, delta, etc.). Internally, each bar’s vector value is averaged with a simple moving window of this length.
- Shorter windows make the state engine more reactive and sensitive to local swings.
- Longer windows make the states more stable and better suited to higher‑timeframe structure.
B. Max Prime Period
- Max Prime Period – Sets the largest prime number used in the EMA grid. The engine builds a family of EMAs on prime lengths (2, 3, 5, 7, …) up to this limit and converts their slopes into angles.
- A higher limit increases the number of long‑horizon EMAs in the grid and makes the vectors sensitive to broader structure.
- A lower limit focuses the analysis on short- and medium‑term behaviour.
C. Price Source
- Price Source – The price series from which the kinetic EMA grid is built (e.g., Close, HLC3, OHLC4). Changing the source modifies the context that the state engine is reading but does not change the core logic.
4. State Engine Settings
Group: “State Engine Settings”
These inputs define how the continuous vectors are translated into discrete states.
A. Trend Thresholds
- Strong Trend Threshold – Value above which the trend vector is treated as “extreme bullish” and below which it is “extreme bearish”.
- Weak Trend Threshold – Inner boundary between neutral and directional conditions.
Roughly:
- |trend| < weak → Neutral trend state.
- weak < |trend| ≤ strong → Bullish/Bearish.
- |trend| > strong → Extreme Bullish/Extreme Bearish.
B. Volume Thresholds
- Volume Climax Threshold – Upper bound at which volume is considered “climax” (unusually expanded participation).
- Volume Expansion Threshold – Boundary for normal expansion versus contraction.
Conceptually:
- Volume above “expansion” indicates increasing activity.
- Volume near or above “climax” marks extreme participation.
- Negative values below the symmetric thresholds map to contraction and extreme dry‑up (liquidity vacuum) states.
C. Delta Thresholds
- Strong Delta Threshold – Cut‑off for extreme buying or selling dominance in delta.
- Weak Delta Threshold – Threshold for mild buy/sell bias versus neutral order flow.
Combined with the sign of the delta vector, these thresholds classify order flow as:
- Extreme Buy, Buy‑Dominant, Neutral, Sell‑Dominant, Extreme Sell.
D. State Hysteresis Bars
- State Hysteresis Bars – Minimum number of bars for which a new state must persist before the engine commits to the change. This prevents the dashboard from flickering during fast spikes and emphasises persistent market behaviour.
- Smaller values switch states quickly; larger values demand more confirmation.
5. Visual Interface
Group: “Visual Interface”
A. Ribbon Base Color
- Ribbon Base Color – Base hue for the multi‑layer EMA ribbon drawn around price. The script plots a dense grid of hidden EMAs and fills the gaps between them to form a semi‑transparent band. Narrow, overlapping bands hint at compression; wider separation hints at dispersion across EMA horizons.
B. Show Dashboard
- Show Dashboard – Toggles the on‑chart table which summarises the current state engine output. Disable this if you only want to keep the EMA ribbon and volume‑based structure on the price chart.
C. Color Theme
- Color Theme – Switch between a dark and light style for the dashboard background and text colours so that the table matches your chart theme.
D. Table Position
- Table Position – Places the dashboard at any corner or edge of the chart (Top / Middle / Bottom × Left / Centre / Right).
E. Table Size
- Table Size – Changes the dashboard’s text size (Tiny, Small, Normal, Large). Use a larger size on high‑resolution screens or when streaming.
F. Show Extended Info
- Show Extended Info – Adds diagnostic rows under the main state summary:
- Mode / Primes / Vector – Shows the current calculation mode (Geometry / Intrabar), the selected intrabar resolution and coverage in bars ( ), how many prime periods are active, and the vector window.
- Values – Displays the current aggregated vectors:
- P: price vector
- V: volume vector
- B: buy‑volume vector
- S: sell‑volume vector
- D: delta vector
Values are bounded between ‑1 and +1.
- Volume Stats – Prints the last bar’s raw buy volume, sell volume and delta as formatted numbers.
- Footer – A final row with the symbol and current time: #SYMBOL | HH:MM.
These extended rows are meant for inspecting how the engine is behaving under the hood while you scroll the chart and compare different assets or timeframes.
6. Language Settings
Group: “Language Settings”
- Select Language – Switches the entire dashboard between English and Turkish.
The underlying calculations and scenario logic are identical; only the labels, titles and comments in the table are translated.
7. Dashboard Structure & Reading Guide
The table summarises the current situation in a few rows:
1. System Header – Shows the script name and the active calculation method (“Geometry” or “Intrabar”).
2. Scenario Title – High‑level description of the current combined scenario (e.g., “Trending Buy Confirmed”, “Sideways Balanced”, “Bull Trap”, “Blow‑Off Top”). The background colour is derived from the scenario family (trending, compression, exhaustion, anomaly, etc.).
3. Bias / Trend Line – States the dominant trend bias derived from the trend vector (Extreme Bullish, Bullish, Neutral, Bearish, Extreme Bearish).
4. Signal / Consideration Line – A short sentence giving qualitative guidance about the current state (for example: continuation risk, exhaustion risk, trap‑like behaviour, or compression). This is deliberately phrased as a consideration, not as a direct trading signal.
5. Trend / Volume / Delta Rows – Three separate rows explain, in plain language, how the trend, volume regime and delta are classified at this bar.
6. Extended Info (optional) – Mode / primes / vector settings, current vector values, and last‑bar volume statistics, as described above.
Together, these rows are meant to be read as a narrative of what price, volume and order‑flow are doing, not as mechanical instructions.
8. State Taxonomy
The state engine organizes market behaviour in three stages.
8.1 Trend States (from the Price Vector)
- Extreme Bullish Trend – The prime‑grid price vector is strongly upward; most EMAs are aligned to the upside.
- Bullish Trend – Upward bias is present, but less extreme.
- Neutral Trend – EMAs are mixed or flat; price is effectively sideways relative to the grid.
- Bearish Trend – Downward bias, with the EMA grid sloping down.
- Extreme Bearish Trend – Strong downside alignment across the grid.
8.2 Volume Regime States (from the Volume Vector)
- Volume Climax (Buy‑Side) – Strong positive volume vector; participation is unusually high in the current direction.
- Volume Expansion – Activity above normal but below the climax threshold.
- Neutral Volume – No major expansion or contraction versus recent history.
- Volume Contraction – Activity is drying up compared with the past.
- Extreme Dry‑Up / Liquidity Vacuum – Very low participation; the market is thin and prone to slippage.
8.3 Delta Behaviour States (from the Delta Vector)
- Extreme Buy Delta – Buying pressure dominates strongly.
- Buy‑Dominant Delta – Buy volume exceeds sell volume, but not at an extreme.
- Neutral Delta – Buy and sell flows are roughly balanced.
- Sell‑Dominant Delta – Selling pressure dominates.
- Extreme Sell Delta – Aggressive, one‑sided selling.
8.4 Combined Scenario State s
EMVOL uses the three base states above to generate a single scenario label. These scenarios are designed to be read as context, not as entry or exit signals.
Trending Scenarios
1. Trending Buy Confirmed
- Bullish or extreme bullish trend, supported by expanding or climax volume and buy‑side delta.
- Educational idea: a healthy uptrend where both participation and order flow agree with the direction.
2. Trending Buy – Weak Volume
- Bullish trend, but volume is neutral, contracting or in dry‑up while delta is still buy‑side.
- Educational idea: price is advancing, yet participation is thinning; trend continuation becomes more fragile.
3. Trending Sell Confirmed
- Bearish or extreme bearish trend, with expanding or climax volume and sell‑side delta.
- Educational idea: strong downtrend with both volume and order‑flow confirmation.
4. Trending Sell – Weak Volume
- Bearish trend, but volume is neutral, contracting or very low while delta remains sell‑side.
- Educational idea: downside continues but with limited participation; vulnerable to short‑covering.
Sideways / Range Scenarios
5. Sideways Balanced
- Neutral trend, neutral delta, neutral volume.
- Classic range environment; low directional edge, suitable for observation and context rather than trend trading.
6. Sideways with Buy Pressure
- Neutral trend, but buy‑side delta is dominant or extreme.
- Range with latent accumulation: price may still appear sideways, but buyers are quietly more active.
7. Sideways with Sell Pressure
- Neutral trend with dominant or extreme sell‑side delta.
- Distribution‑like environment where price chops while sellers are gradually more aggressive.
Exhaustion & Volume Extremes
8. Exhaustion – Buy Risk
- Extreme bullish trend, volume climax and strong buy‑side delta.
- Educational idea: very strong up‑move where both participation and delta are already stretched; risk of exhaustion or blow‑off.
9. Exhaustion – Sell Risk
- Extreme bearish trend, volume dry‑up and strong sell‑side delta.
- Suggests one‑sided selling into increasingly thin liquidity.
10. Volume Climax (Buy)
- Neutral trend, neutral delta, but volume at climax levels.
- Often associated with a “big event” bar where participation spikes without a clear directional commitment.
11. Volume Climax (Sell / Dry‑Up)
- Neutral trend and neutral delta, while the volume vector indicates an extreme dry‑up.
- Highlights a stand‑still episode: very limited interest from both sides, increasing the sensitivity to future impulses.
Divergences
12. Divergence – Bullish Context
- Bullish or extreme bullish trend, but delta has faded back to neutral.
- Price trend continues while order‑flow conviction softens; can precede pauses or complex corrections.
13. Divergence – Bearish Context
- Bearish or extreme bearish trend with a neutral delta.
- Downtrend persists, but selling pressure no longer dominates as clearly.
Consolidation & Compression
14. Consolidation
- Default state when no specific pattern dominates and the market is broadly balanced.
- Educational use: treat this as a “no strong edge” label; focus on structure rather than direction.
15. Breakout Imminent
- Neutral trend with contracting volume.
- Compression phase where energy is building up; often precedes transitions into trending or shock scenarios.
Traps & Hidden Divergences
16. Bull Trap
- Bullish trend, with neutral or contracting volume and sell‑side delta.
- Price appears strong, but order‑flow shifts against it; often seen near fake breakouts or failing rallies.
17. Bear Trap
- Bearish trend, neutral or contracting volume, but buy‑side delta.
- Downtrend “looks” intact, while buyers become more aggressive underneath the surface.
18. Hidden Bullish Divergence
- Bullish trend, contracting volume, but strong buy‑side delta.
- Educational idea: price dips or slows while aggressive buyers step in, often inside an ongoing uptrend.
19. Hidden Bearish Divergence
- Bearish trend, volume expansion and strong sell‑side delta.
- Reinforced downside pressure even if price is temporarily retracing.
Reversal & Transition Patterns
20. Reversal to Bearish
- Neutral trend, volume climax and strong sell‑side delta.
- Suggests that heavy selling appears at the top of a move, turning a previously neutral or rising context into potential downside.
21. Reversal to Bullish
- Neutral trend, extreme volume dry‑up and strong buy‑side delta.
- Often associated with selling exhaustion where buyers start to take control.
22. Indecision Spike
- Neutral trend with extreme volume (climax or dry‑up) but neutral delta.
- Crowd participation changes sharply while order‑flow remains undecided; treat as an informational spike rather than a direction.
Extended Compression & Acceleration
23. Coiling Phase
- Neutral trend, contracting volume, and delta that is neutral or only mildly one‑sided.
- Extended compression where price, volume and delta all contract into a tightly coiled range, often preceding a strong move.
24. Bullish Acceleration
- Bullish trend with volume expansion and strong buy‑side delta.
- Uptrend not only continues but gains kinetic strength; educationally, this illustrates how trend, volume and delta align in the strongest phases of a move.
25. Bearish Acceleration
- Bearish trend with volume expansion and strong sell‑side delta.
- Mirror image of Bullish Acceleration on the downside.
Trend Exhaustion & Climax Reversal
26. Bull Exhaustion
- Bullish or extreme bullish trend, with contraction or dry‑up in volume and buy‑side or neutral delta.
- The move has already travelled far; participation fades while price is still elevated.
27. Bear Exhaustion
- Bearish or extreme bearish trend, with volume climax or contraction and sell‑side or neutral delta.
- Down‑move may be approaching a point where additional selling pressure has diminishing impact.
28. Blow‑Off Top
- Extreme bullish trend, volume climax and extreme buy delta all at once.
- Classic blow‑off behaviour: price, volume and order‑flow are simultaneously stretched in the same direction.
29. Selling Climax Reversal
- Extreme bearish trend with extreme volume dry‑up and extreme sell‑side delta.
- Marks a very aggressive capitulation phase that can precede major rebounds.
Advanced VSA / Anomaly Scenarios
30. Absorption
- Typically neutral trend with expanding or climax volume and extreme delta (either buy or sell).
- Educational focus: large participants are aggressively absorbing liquidity from the opposite side, while price remains relatively contained.
31. Distribution
- Scenario where volume remains elevated while directional conviction weakens and the trend slows.
- Represents potential “selling into strength” or “buying into weakness”, depending on the active side.
32. Liquidity Vacuum
- Combination of thin liquidity (extreme dry‑up) with a directional trend or strong delta.
- Highlights environments where even small orders can move price disproportionately.
33. Anomaly / Shock Event
- Triggered when the vector z‑scores detect rare combinations of price, volume and delta behaviour that deviate from their own historical distribution.
- Intended as a warning label for unusual events rather than a specific tradeable pattern.
9. Educational Usage Notes
- EMVOL does not produce mechanical “buy” or “sell” commands. Instead, it classes each bar into an interpretable state so that traders can study how trends, volume and order‑flow interact over time.
- A common exercise is to overlay your usual EMA crossovers, support/resistance or price patterns and observe which EMVOL scenarios appear around entries, exits, traps and climaxes.
- Because the vectors are normalized (bounded between ‑1 and +1) and then discretized, the same conceptual states can be compared across different symbols and timeframes.
10. Disclaimer & Educational Purpose
This indicator is provided strictly as an educational and analytical tool. Its purpose is to help visualise how price, volume and order‑flow interact; it is not designed to function as a stand‑alone trading system.
Please note:
1. No Automated Strategy – The script does not implement a complete trading strategy. Scenario labels and dashboard messages are descriptive and should not be followed as unconditional entry or exit signals.
2. No Financial Advice – All information produced by this indicator is general market analysis. It must not be interpreted as investment, financial or trading advice, or as a recommendation to buy or sell any instrument.
3. Risk Warning – Trading and investing involve substantial risk, including the risk of loss. Always perform your own analysis, use appropriate position sizing and risk management, and consult a qualified professional if needed. You are solely responsible for any decisions made using this tool.
4. Data Precision & Platform Limits – The “Intrabar (Precise)” mode depends on the availability of high‑resolution historical data at the chosen intrabar timeframe. If your TradingView plan or the symbol’s history does not provide sufficient depth, this mode may only partially cover the visible chart. In such cases, consider switching to “Geometry (Source File)” for a fully populated view.
ICT Fair Value Gap Detector [Eˣ]⚡ Fair Value Gap Detector
Overview
The Fair Value Gap Detector automatically identifies price imbalances on your charts - the inefficiencies left behind when price moves too quickly. This indicator reveals where price is likely to return for "rebalancing", based on ICT (Inner Circle Trader) concepts of market efficiency.
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🎯 What This Indicator Does
Detects Fair Value Gaps:
• 🟢 Bullish FVG - Gap left below during aggressive upward move
• 🔴 Bearish FVG - Gap left above during aggressive downward move
• Automatically identifies 3-candle price inefficiencies
• Works on all timeframes and instruments
Smart Fill Tracking:
• Full Fill - Price completely fills the gap
• 50% Fill - Price fills half the gap (critical level)
• Partial Fill - Price touches gap edge
• Real-time fill percentage tracking
• Auto-removes filled gaps (optional)
Professional Features:
• Active Gap Highlighting - Shows nearest unfilled gap
• Distance Calculator - Displays how far price is from gaps
• Market Bias - Analysis based on gap balance
• Size Filtering - Minimum gap size to avoid noise
• Visual Clarity - Clean boxes with color-coding
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📚 Understanding Fair Value Gaps
What Are Fair Value Gaps?
Fair Value Gaps (FVGs), also known as imbalances or inefficiencies, are zones where price moved so quickly that normal trading didn't occur. They represent:
• Price Imbalance - One-sided aggressive buying or selling
• Unfair Pricing - Some participants didn't get to trade at these levels
• Market Inefficiency - Supply/demand equilibrium was disrupted
• Rebalancing Zones - Price often returns to "fill" these gaps
The ICT Concept:
Markets constantly seek equilibrium (fair value). When price moves too fast:
1. It leaves gaps where normal trading didn't happen
2. These gaps represent unfair/inefficient pricing
3. Market has a tendency to return and "rebalance"
4. Smart money knows this and trades the fills
Why FVGs Work:
• Unfilled Orders - Traders who missed the move have pending orders in the gap
• Algorithmic Trading - Algos programmed to exploit inefficiencies
• Market Psychology - Traders notice gaps and place orders there
• Institutional Behavior - Smart money uses gaps for entries/exits
FVG vs Regular Gaps:
• Regular Gaps - Occur at market open, between daily closes
• Fair Value Gaps - Occur intraday, between 3 consecutive candles
• FVGs happen more frequently and on all timeframes
• FVGs are more tradeable for intraday/swing traders
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🟢 Bullish Fair Value Gaps Explained
How They Form:
Bullish FVG requires 3 candles:
1. Candle 1 - Any candle (sets the high reference)
2. Candle 2 - Strong bullish candle (aggressive buying)
3. Candle 3 - Continuation candle
The Gap: Candle 3's LOW is above Candle 1's HIGH = Gap left unfilled
Visual Example:
```
Candle 3: Low at $105 ──────────┐
│ ← GAP (Bullish FVG)
Candle 2: Strong bullish │
│
Candle 1: High at $100 ──────────┘
```
What It Means:
• Price jumped from $100 to $105+ so fast, no trading occurred in between
• This $100-$105 zone is "unfair" - buyers/sellers didn't get to trade there
• Market may return to this zone to "rebalance"
• When price returns, it often acts as support
Trading Bullish FVGs:
Strategy:
• Wait for price to retrace down into the bullish FVG (green box)
• Look for rejection/bounce from the gap zone
• Enter long when price respects the FVG as support
• Stop loss: Below the FVG
• Target: Previous high or opposite FVG
Best Entry Points:
• 50% Fill: Price enters middle of gap (highest probability)
• Full Fill: Price touches bottom of gap (aggressive entry)
• Tap & Reject: Price quickly enters and exits gap (strong signal)
Example Trade:
• Bullish FVG forms: $50,000 - $50,500 (500 point gap)
• Price rallies to $52,000 then retraces
• Price drops to $50,250 (50% of gap filled)
• Bullish reversal candle appears
• Enter long at $50,500, stop at $49,800
• Target: $52,000+
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🔴 Bearish Fair Value Gaps Explained
How They Form:
Bearish FVG requires 3 candles:
1. Candle 1 - Any candle (sets the low reference)
2. Candle 2 - Strong bearish candle (aggressive selling)
3. Candle 3 - Continuation candle
The Gap: Candle 3's HIGH is below Candle 1's LOW = Gap left unfilled
Visual Example:
```
Candle 1: Low at $100 ───────────┐
│ ← GAP (Bearish FVG)
Candle 2: Strong bearish │
│
Candle 3: High at $95 ───────────┘
```
What It Means:
• Price dropped from $100 to $95 so fast, no trading occurred in between
• This $95-$100 zone is "unfair" - buyers/sellers didn't get to trade there
• Market may return to this zone to "rebalance"
• When price returns, it often acts as resistance
Trading Bearish FVGs:
Strategy:
• Wait for price to retrace up into the bearish FVG (red box)
• Look for rejection/reversal from the gap zone
• Enter short when price respects the FVG as resistance
• Stop loss: Above the FVG
• Target: Previous low or opposite FVG
Best Entry Points:
• 50% Fill: Price enters middle of gap (highest probability)
• Full Fill: Price touches top of gap (aggressive entry)
• Tap & Reject: Price quickly enters and exits gap (strong signal)
Example Trade:
• Bearish FVG forms: $48,000 - $48,500 (500 point gap)
• Price drops to $46,000 then retraces
• Price rallies to $48,250 (50% of gap filled)
• Bearish reversal candle appears
• Enter short at $48,000, stop at $48,700
• Target: $46,000-
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📊 How To Use This Indicator
Strategy 1: FVG Rebalancing (Classic)
Best For: Swing trading, reversal trading
Timeframes: 15min, 1H, 4H
Win Rate: 65-75%
Entry Rules:
1. Identify unfilled FVG (bright color, not gray)
2. Wait for price to return to the gap
3. Best entry: 50% fill of the gap
4. Look for reversal confirmation:
• Bullish FVG: Pin bar, engulfing, hammer
• Bearish FVG: Shooting star, bearish engulfing
5. Enter when price bounces/rejects from FVG
6. Stop: Beyond opposite side of FVG
7. Target: 2-3R or previous high/low
Why It Works: 70%+ of FVGs get filled, and 60%+ show reaction
Strategy 2: FVG + Order Block Confluence
Best For: High-probability setups
Timeframes: 1H, 4H
Win Rate: 75-85%
Entry Rules:
1. Find FVG that overlaps with Order Block
2. This creates a "super zone" of confluence
3. Wait for price to return to this zone
4. Enter on first touch of confluence zone
5. Stop: Beyond the confluence zone
6. Target: 3-4R
Why It Works: Double institutional concepts = highest probability
Strategy 3: Multi-Timeframe FVG
Best For: Position trading, major moves
Timeframes: Combine Daily + 4H or 4H + 1H
Win Rate: 70-80%
Entry Rules:
1. Identify large FVG on higher timeframe (Daily/4H)
2. Wait for price to enter this HTF FVG
3. Switch to lower timeframe (4H/1H)
4. Look for LTF FVG within HTF FVG in same direction
5. Trade the LTF FVG fill
6. Stop: Below LTF FVG
7. Target: Exit HTF FVG or beyond
Why It Works: Timeframe alignment = institutional consensus
Strategy 4: FVG Rejection Trade
Best For: Quick scalps, day trading
Timeframes: 5min, 15min
Win Rate: 60-70%
Entry Rules:
1. Price enters FVG zone
2. Immediate rejection (strong reversal candle)
3. Enter on close of rejection candle
4. Tight stop beyond FVG
5. Quick target: 1-2R
Why It Works: Strong rejection = institutional defense of level
Strategy 5: FVG-to-FVG Trading
Best For: Momentum trading
Timeframes: 15min, 1H
Win Rate: 55-65%
Entry Rules:
1. Identify bullish FVG below and bearish FVG above
2. Enter long at bullish FVG, target bearish FVG
3. Or enter short at bearish FVG, target bullish FVG
4. Price often moves from one imbalance to another
5. Stop: Beyond trading FVG
6. Target: Opposite FVG
Why It Works: Price rebalances from one inefficiency to another
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⚙️ Settings Explained
Display Settings
Show Bullish/Bearish FVG
• Toggle each type on/off independently
• Customize colors for each FVG type
• Default: Green (bullish), Red (bearish)
• Tip: Use colors that contrast with your chart
Max FVG to Display (Default: 20)
• Limits how many gaps are shown at once
• Lower (10-15): Cleaner chart, recent gaps only
• Higher (30-50): More historical context
• Recommended: 15-25 for most trading
Show FVG Labels (Default: ON)
• Displays "FVG+" and "FVG-" text on gaps
• Shows 🎯 on active (nearest) gap
• Shows fill percentage (e.g., "FVG+ 35%")
• Turn OFF for minimal appearance
• Recommended: Keep ON for clarity
Extend Gaps (bars) (Default: 50)
• How far to extend gap boxes to the right
• Lower (20-30): Shorter boxes
• Higher (100+): Longer boxes, easier to see
• Gaps auto-extend until filled or limit reached
• Recommended: 40-60 bars
Filters
Min Gap Size % (Default: 0.05)
• Minimum gap size as percentage of price
• Filters out tiny, insignificant gaps
• Crypto: 0.05-0.15% (high volatility)
• Forex: 0.03-0.10% (moderate volatility)
• Stocks: 0.05-0.20% (varies by stock)
• Indices: 0.05-0.15%
• Adjust based on instrument's average move
Show Filled Gaps (Default: OFF)
• When ON: Shows gray boxes for filled gaps
• When OFF: Gaps disappear after mitigation
• Use ON: For learning and backtesting
• Use OFF: For clean, active trading view
Advanced Settings
Auto-Detect Mitigation (Default: ON)
• Automatically tracks when gaps are filled
• Updates fill percentage in real-time
• Marks gaps as "mitigated" when filled
• Recommended: Keep ON
Mitigation Type (Default: Full)
• Full: Gap considered filled when price closes through entire gap
• 50%: Gap considered filled at 50% (critical level)
• Partial: Gap considered filled on first touch
• For learning: Use "Full"
• For aggressive trading: Use "50%"
• For conservative trading: Use "Partial"
Highlight Nearest Gap (Default: ON)
• Highlights the closest unfilled gap to current price
• Active gap shown with 🎯 emoji and brighter color
• Helps focus on most relevant opportunity
• Recommended: Keep ON
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📱 Info Panel Guide
Bullish FVG Count
• Number of active (unfilled) bullish fair value gaps
• Higher number = More potential support zones below
• Multiple bullish FVGs = Strong rebalancing demand
Bearish FVG Count
• Number of active (unfilled) bearish fair value gaps
• Higher number = More potential resistance zones above
• Multiple bearish FVGs = Strong rebalancing supply
Bias Indicator
• ⬆ Bullish: More bullish FVGs than bearish
• ⬇ Bearish: More bearish FVGs than bullish
• ↔ Neutral: Equal FVGs on both sides
• Market tends to fill nearby gaps first
Target Indicator
• Shows nearest unfilled gap and distance
• Example: "Bull FVG -1.25%" = Bullish gap is 1.25% below price
• Example: "Bear FVG +0.85%" = Bearish gap is 0.85% above price
• Watch for price to reach these targets
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📱 Alert Setup
This indicator includes 4 alert types:
1. Price Entering Bullish FVG
• Fires when price drops into a bullish gap
• Action: Watch for bounce/reversal
• High-probability long setup developing
2. Price Entering Bearish FVG
• Fires when price rallies into a bearish gap
• Action: Watch for rejection/reversal
• High-probability short setup developing
3. New Bullish FVG Detected
• Fires when a new bullish gap forms
• Action: Mark zone for future fill
• New rebalancing target below identified
4. New Bearish FVG Detected
• Fires when a new bearish gap forms
• Action: Mark zone for future fill
• New rebalancing target above identified
To Set Up Alerts:
1. Click "Alert" button (clock icon)
2. Select "Fair Value Gap Detector"
3. Choose your alert condition
4. Configure notification method
5. Click "Create"
Pro Tip: Set "Price Entering" alerts to catch fills in real-time
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💎 Pro Tips & Best Practices
✅ DO:
• Wait for 50% fill - Middle of gap has highest win rate (65-70%)
• Use confirmation - Don't trade just because price touched gap
• Combine with structure - FVG + support/resistance = high probability
• Trade first fill - Unfilled gaps have better success rate than refilled
• Respect full fills - Once fully filled, gap is less reliable
• Use multiple timeframes - HTF FVGs are stronger than LTF
• Check session timing - FVGs work best during London/NY sessions
• Follow the bias - More bullish FVGs = favor longs
⚠️ DON'T:
• Don't blindly fade gaps - Wait for price action confirmation
• Don't ignore momentum - Strong trends can blow through FVGs
• Don't trade every gap - Quality over quantity
• Don't assume all gaps fill - About 70-80% fill, 20-30% don't
• Don't use tight stops - Allow room for wick into gap
• Don't overtrade - Wait for confluence and confirmation
• Don't fight trends - Best FVG trades are with higher TF trend
• Don't ignore fill percentage - 50% is often the sweet spot
🎯 Best Timeframes:
• Scalpers: 1min, 5min (many gaps, quick fills)
• Day Traders: 5min, 15min, 1H (balanced)
• Swing Traders: 1H, 4H, Daily (larger, more reliable gaps)
• Position Traders: 4H, Daily, Weekly (major imbalances)
🔥 Best Instruments:
• Excellent: BTC, ETH, ES, NQ, Forex majors (clean price action)
• Good: Gold, Oil, Major indices, Large-cap stocks
• Moderate: Altcoins, small-cap stocks (more noise)
• Best Markets: Trending markets with clear swings
⏰ Best Times for FVG Trading:
• London Session: High volume = reliable gap fills
• NY Session: Strong moves create quality gaps
• London-NY Overlap: Best time for gap creation and fills
• Asian Session: Lower probability, wait for London
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🎓 Advanced FVG Concepts
FVG Mitigation Levels
Understanding fill percentages:
• 0-25% Fill: Gap barely touched, often continues without fill
• 25-50% Fill: Partial rebalancing, may reverse here
• 50% Fill: CRITICAL LEVEL - Highest probability reversal zone
• 50-75% Fill: Deep rebalancing, strong reversal likely
• 75-100% Fill: Full rebalancing, gap's purpose fulfilled
Why 50% Matters: Market seeks equilibrium, and 50% represents perfect balance
FVG Inversions
When price breaks through a gap completely:
• Bullish FVG that's broken becomes bearish (support → resistance)
• Bearish FVG that's broken becomes bullish (resistance → support)
• Inverted gaps are weaker than fresh gaps
• Trading: Can fade the inverted gap but with caution
FVG Confluence Zones
Multiple FVGs at similar level:
• Creates "super gap" or confluence zone
• Much higher probability of reaction
• Wider zone for entries (more room for stops)
• Often aligns with other institutional concepts
FVG + Order Block Combo
When FVG overlaps with Order Block:
• Double institutional concept
• Extremely high probability setup (75-85% win rate)
• Price drawn to fill gap AND test order block
• Use tight stops, generous targets (3-5R possible)
Nested FVGs (Multi-Timeframe)
Small FVG inside larger FVG:
• Daily FVG contains 4H FVG contains 1H FVG
• Trade the smallest FVG in direction of larger ones
• Highest probability when all aligned
• Progressive targets: Fill small → medium → large gaps
FVG Exhaustion
When price creates multiple FVGs in same direction:
• Indicates strong momentum/impulsive move
• Each gap represents acceleration
• Last gap often signals exhaustion
• Watch for reversal after filling final gap
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📈 Common FVG Patterns
Pattern 1: The Perfect Rebalance
• FVG forms during strong move
• Price continues 100+ pips
• Clean return to 50% of gap
• Immediate reversal
• Textbook setup, 70%+ win rate
Pattern 2: The Double Fill
• Price partially fills gap (25%)
• Weak reaction, continues
• Returns again for deeper fill (75%)
• Strong reversal on second fill
• Second fill often better entry
Pattern 3: The Blow-Through
• Price approaches gap
• Completely ignores it, no reaction
• Keeps going in same direction
• Sign of very strong momentum
Pattern 4: The Magnet Effect
• Price slowly grinds toward gap
• Accelerates as it gets close
• Quickly fills and reverses
• Common in ranging markets
Pattern 5: The False Fill
• Price wicks into gap briefly
• Immediately reverses without filling
• "Stop hunt" or liquidity grab
• Gap remains unfilled
• Often precedes strong move
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🚀 What Makes This Different?
Unlike basic gap indicators, Fair Value Gap Detector:
• ICT Methodology - Based on proven institutional concepts
• Real-Time Fill Tracking - Shows percentage filled as it happens
• 3 Mitigation Types - Full, 50%, Partial for different strategies
• Active Gap Highlighting - Shows most relevant opportunity
• Smart Filtering - Minimum size to avoid noise
• Visual Clarity - Clean, professional appearance
• Auto-Management - Removes filled gaps automatically
• Distance Tracking - Know exactly where price needs to go
Based On Professional Concepts:
• ICT Fair Value Gap theory
• Market efficiency principles
• Price rebalancing dynamics
• Institutional order flow analysis
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📈 FVG Statistics & Probabilities
Based on ICT concepts and trader observations:
Gap Fill Rates:
• 70-80% of FVGs get filled eventually
• 60-70% show some reaction when filled
• 50% fill level has ~65% reversal rate
• Full fills have ~55% reversal rate
Timeframe Reliability:
• Daily FVGs: ~75-85% fill rate, strongest reactions
• 4H FVGs: ~70-80% fill rate, strong reactions
• 1H FVGs: ~65-75% fill rate, good reactions
• 15min FVGs: ~60-70% fill rate, moderate reactions
• 5min FVGs: ~55-65% fill rate, weaker reactions
Best Practices:
• First touch of gap = 65-70% win rate
• 50% fill = 65% win rate
• FVG + Order Block = 75-85% win rate
• Multi-timeframe aligned FVG = 70-80% win rate
• FVG in trending market = 60-70% win rate
Common Failures:
• Strong momentum blows through gaps (20-30% of time)
• Gaps in low-volume periods less reliable
• Very small gaps (<0.05%) often ignored
• Counter-trend gaps have lower success rate
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🙏 If You Find This Helpful
• ⭐ Leave your feedback
• 💬 Share your experience in the comments
• 🔔 Follow for updates and new tools
Questions about Fair Value Gaps? Feel free to ask in the comments.
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Version History
• v1.0 - Initial release with 3-candle FVG detection and real-time fill tracking
