Crypto EMA Ribbon + Buy/Sell SignalsEMA Ribbon Strategy Logic (Professional-Grade)
EMA Ribbon
Fast EMAs: 8, 13, 21
Mid EMAs: 34, 55
Trend EMA: 200
Trend Rules
Bull Trend: Price above 200 EMA
Bear Trend: Price below 200 EMA
Buy Signal
Price above 200 EMA
Fast EMAs stacked bullish (8 > 13 > 21 > 34 > 55)
8 EMA crosses above 21 EMA
Sell Signal
Price below 200 EMA
Fast EMAs stacked bearish (8 < 13 < 21 < 34 < 55)
8 EMA crosses below 21 EMA
This avoids chop and only trades momentum-aligned trends.
Forecasting
Sessions + Prev + PDH/PDL + Killzones SuiteDescription
This indicator is designed to provide time-based and price-based market context by combining session ranges with commonly referenced prior levels into a single, unified framework.
The purpose of the script is contextual analysis, not signal generation.
What the script does
The script tracks and plots the following elements directly on the price chart:
• High and Low ranges for multiple trading sessions (Asia, London, New York morning, and New York afternoon)
• High and Low levels from the previous occurrence of each session
• Prior Day High (PDH) and Prior Day Low (PDL)
• Optional session “killzone” boxes that visually mark active session time windows
All calculations are performed using time-based session boundaries and price extrema (high/low) within those windows.
Why these components are combined
Sessions, previous session levels, and prior day levels are frequently analyzed together by discretionary traders because they represent:
• Where liquidity formed earlier in the day or previous day
• Where price previously paused, expanded, or reversed
• Natural reference points for intraday structure and range analysis
Instead of plotting these elements using multiple separate scripts, this indicator integrates them into one consistent framework so that all levels are calculated using the same timezone, session logic, and display rules.
This avoids mismatched session times, duplicate levels, or conflicting calculations that can occur when multiple scripts are used simultaneously.
How the script works (high-level)
• Each session is defined using user-selectable session times and timezone
• During a session, the script tracks the highest and lowest traded price
• When a session ends, its final high and low are stored as the “previous session” levels
• PDH and PDL are calculated using the completed trading day
• Lines and labels are anchored to the bars where levels are formed, rather than extending indefinitely
• Optional display filters allow users to show only the current trading day to reduce chart clutter
No forward-looking logic, prediction, alerts, or trade execution logic is included.
How to use it
This script is intended to be used as a visual reference tool to help traders:
• Identify session boundaries and intraday ranges
• Observe how price reacts near prior session highs and lows
• Assess where price is trading relative to PDH and PDL
• Maintain consistent session timing across different timezones
The script does not provide trade entries, exits, alerts, or performance claims.
Important notes
• This indicator does not generate buy or sell signals
• It does not predict future price movement
• It is not a trading strategy
• All decisions remain the responsibility of the user
Disclaimer
This script is provided for educational and informational purposes only.
It does not constitute financial advice. Trading involves risk, and users should apply appropriate risk management and personal judgment when using any technical tool.
MTF Target Radar [Rulph]MTF Target Radar - Multi-Timeframe Target Clustering with Machine Learning
MTF Target Radar is an advanced target projection system that analyzes trendline breakouts across multiple timeframes (Daily to Biweekly) and clusters projected targets into high-probability zones. It dynamically calculates targets from actual breakout patterns and validates them through multi-timeframe confluence and machine learning, instead of using static support/resistance or fixed Fibonacci ratios.
The system continuously tracks cluster performance (Reached / Lost / Timeout) and uses this history to improve future predictions through a transparent k-Nearest Neighbors (k-NN) logic, providing explainable adjustments to cluster quality rather than black-box scores.
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WHY COMBINE MULTI-TIMEFRAME TARGETS?
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Most target projection methods rely on a single timeframe or on arbitrary geometric ratios. MTF Target Radar is designed around three core ideas:
1. Cross-timeframe validation : A target zone where multiple higher timeframes converge (e.g., 1D, 2D, 3D, 4D, 5D, 6D, 1W, 2W) indicates a structural price magnet, where several independent trend cycles agree on a probable area of exhaustion, continuation, or reversal.
2. Dynamic projection from real patterns : Targets are computed from the geometry of each breakout (distance from the trendline to the extreme of the pattern) instead of being fixed percentages from arbitrary swing points. This makes projected levels adaptive to the actual volatility and structure of each pattern.
3. Adaptive learning : The system learns which cluster characteristics (density, strength, distance, momentum, market regime, etc.) historically lead to successful outcomes and then gently adjusts future cluster qualities in that direction.
The result is a "target radar" where the most important zones stand out because they combine: multiple timeframes, favorable structure, and a positive historical profile with similar setups.
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COMPONENT 1: TRENDLINE BREAKOUT DETECTION
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For each enabled higher timeframe (up to 8), the indicator performs the same deterministic process:
1. Swing pivot detection
It finds swing highs and lows using a configurable pivot length (default 3 bars left and right), which defines local extremes for trendline construction.
2. Trendline construction
- For bullish breakout setups (upward target clusters), it connects two descending swing highs to form a bearish trendline.
- For bearish breakout setups (downward target clusters), it connects two ascending swing lows to form a bullish trendline.
3. Breakout detection
A breakout is confirmed when the close crosses and holds beyond the trendline in the opposite direction of the preceding trend (close above a descending line for long setups, or below an ascending line for short setups), which indicates that the previous trend structure has failed.
4. Target projection
The target is measured from the internal structure of the pattern, not guessed:
For bullish (upward) targets:
- The algorithm finds the lowest low between the second pivot and the breakout.
- It computes the vertical distance from the trendline value at that bar to this lowest low.
- This distance is then projected above the breakout level to obtain an initial target.
For bearish (downward) targets, the logic is mirrored using the highest high within the pattern range.
This makes each target a direct function of how "compressed" price was before breaking out, creating geometry-driven objectives that adapt to each pattern.
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COMPONENT 2: TARGET CLUSTERING
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All individual targets from active timeframes are merged into clusters, which represent zones where multiple projected levels overlap or lie very close to each other.
Clustering logic :
- All targets are sorted by price.
- Targets within a maximum distance (MAX_CLUSTER_DISTANCE, default 1.5% of price) are merged into a single cluster.
- A cluster must contain at least MIN_CLUSTER_SIZE targets (default 2) to be considered valid and plotted.
Cluster properties include:
- Center : the average target price within the cluster.
- Size : number of contributing targets; more targets imply stronger structural agreement.
- Spread : the price width between the lowest and highest targets in the cluster.
- Timeframe composition : which timeframes contributed (e.g., "1D, 2D, 3D, 1W").
A tight cluster where many timeframes converge is treated as a stronger and more precise target than scattered levels spread widely in price.
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COMPONENT 3: QUALITY SCORING SYSTEM
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Each cluster receives a base quality score from 0 to 1, computed as a weighted combination of four dimensions:
1. Density score (weight: 0.35)
- Based on how narrow the cluster is relative to volatility.
- Uses normalized spread: cluster_spread / ATR(14).
- A smaller normalized spread leads to a higher density score.
2. Strength score (weight: 0.35)
- Depends on the number of targets and their distribution across timeframes.
- Uses a log-scaled function of cluster size and a density factor so that adding more confluences yields diminishing but still meaningful improvements.
3. Reachability score (weight: 0.20)
- Based on the distance from current price to cluster center in percent terms.
- Closer clusters are easier to reach; very distant ones are penalized unless the market and trend strongly support extended moves.
4. Momentum score (weight: 0.10)
- Analyzes the last few candles (e.g., 5 bars) using candle bodies, wicks, and short-term rate of change to determine whether current price action supports moving into the cluster.
Base quality formula :
The base quality is a convex combination:
Q_base = 0.35 × Density + 0.35 × Strength + 0.20 × Reachability + 0.10 × Momentum, with additional multiplicative penalties when reachability is too low or the overall market regime contradicts the direction of the cluster.
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COMPONENT 4: MACHINE LEARNING ADJUSTMENT
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When the ML enhancement is enabled and there is enough history, the script uses an internal k-Nearest Neighbors approach to adjust cluster quality based on what worked or failed in the past.
Feature extraction :
For each cluster, the system extracts a feature vector including:
- Base quality, distance to target, volatility, trend strength (ADX), RSI value, volume ratio, recent momentum, cluster size, density, market regime, volume trend, timeframe consistency, and price acceleration.
Neighbor search :
- Only clusters with the same direction (up or down) and with finalized outcomes (reached, lost, or timeout) are considered.
- A Lorentzian distance metric is used: sum over all features of log(1 + |difference|) multiplied by per-feature weights, so that extreme outliers do not dominate.
Graduated success scoring :
Each historical cluster stores a continuous success_score, not just 0 or 1:
- Full success when the target zone is actually reached with reasonable timing.
- Partial credit when price comes very close but slightly misses the cluster or reaches only part of it.
- Penalties when the cluster times out or price moves away strongly.
ML adjustment of quality :
The script computes an ML_probability for the active cluster by aggregating neighbors' success_score values weighted by similarity and recency. This ML-derived probability is then mixed with the base quality:
Q_adjusted = Q_base × (1 − ML_weight) + ML_probability × ML_weight,
where ML_weight increases gradually with the amount and reliability of historical data and is capped so that ML cannot completely override the base structural logic.
Additionally, performance metrics such as recent accuracy, false positives, false negatives, and total predictions are tracked to adapt how much trust is placed in ML adjustments over time.
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COMPONENT 5: TIME-TO-TARGET PREDICTION
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When time prediction is enabled, the indicator estimates how many bars it may take for price to reach the cluster. This is an experimental feature designed for context, not as a hard promise.
Base estimate :
- Uses distance to cluster and current volatility as primary inputs.
- Time is scaled differently for various asset classes (e.g., crypto vs. equities), so that fast markets do not get unrealistic long estimates and slow markets do not get unrealistically short ones.
ML refinement :
If enough successful historical clusters with similar features are available, the script:
- Filters neighbors that actually reached their targets.
- Uses their real bars_to_reach values.
- Computes a weighted average to refine the time estimate.
The final time prediction is a blend of base estimate and ML-derived value, with a confidence measure derived from the number, similarity, and recency of matching examples.
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CLUSTER STATE MACHINE
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Each cluster goes through a simple and explicit state machine:
forming → active
Once cluster quality rises above the minimum threshold, it becomes active and is displayed on the chart.
active → reached
The cluster is marked as reached when price touches at least the first target in its internal list (TP1), using direction-sensitive logic (high >= TP1 for long clusters, low <= TP1 for short clusters).
active → lost
If the underlying targets are structurally invalidated (e.g., fewer than MIN_CLUSTER_SIZE remain due to market movement), the cluster becomes lost.
active → timeout
If age exceeds MAX_CLUSTER_AGE (default 40 bars) without reaching the target, the cluster is marked as timeout, so stale setups do not stay active indefinitely.
Final states (reached, lost, timeout) are recorded with snapshots of cluster features, bars_alive, bars_to_reach, and realized P&L percentage. These records feed back into the ML history.
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HOW TO USE MTF TARGET RADAR
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Basic workflow :
1. Enable the higher timeframes that are relevant to your trading style (e.g., 1D–6D + 1W for intraday or swing trading).
2. Set Min Quality Score (MIN_QUALITY) according to your risk tolerance:
- 0.3–0.4 for aggressive,
- 0.5–0.6 for balanced,
- 0.7+ for conservative setups.
3. Optionally enable ML and time prediction once enough history is accumulated.
4. Use the trend context block (if enabled) to see whether clusters align with the dominant trend or go against it.
Reading the chart :
- Green boxes above price = upward target clusters (long objectives).
- Red boxes below price = downward target clusters (short objectives).
- Box width shows the price range of the cluster; box position shows where price is expected to gravitate.
- Labels can include: contributing timeframes, cluster center, base quality, ML-adjusted quality, distance to target, and estimated time to target when enabled.
Example entry logic :
- For a long: price is below a strong green cluster, quality > 0.6, direction aligned with the current trend, and ML-adjusted quality is not significantly lower than base quality.
- Entry can be timed using your own triggers (breakouts, pullbacks, candlestick patterns), while the cluster defines the target area rather than the exact entry.
Example exit logic :
- Take profit as price enters the cluster zone.
- Scale out around cluster center or when realized move covers your planned R-multiple.
- Exit early if the cluster flips to "lost" or if an opposite-direction high-quality cluster appears and is closer than the current one.
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WHAT MAKES MTF TARGET RADAR ORIGINAL
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MTF Target Radar is not a simple overlay of trendlines and support/resistance; it implements a full pipeline: pattern-based target projection, cross-timeframe clustering, quality scoring, and machine learning feedback.
Key aspects of originality include:
- Multi-timeframe target clustering where zones are built from many independent breakouts instead of a single pattern.
- Quantified cluster quality combining density, strength, reachability, and momentum in a transparent scoring model.
- Graduated ML learning that uses continuous success scores and explainable k-NN, rather than opaque models.
- State machine tracking of each cluster's lifecycle with explicit rules for success, failure, and timeout.
- Optional time-to-target estimation that reuses the same ML history instead of guessing fixed time windows.
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CHART LEGEND
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- Green box above current price: bullish target cluster.
- Red box below current price: bearish target cluster.
- Historical clusters can be marked with symbols:
- ✓ for reached,
- ✗ for lost,
- ⏱ for timeout,
often accompanied by a diagonal line showing entry-to-target path and final P&L%.
- Optional trend context (LazyTrend/SuperTrend-style block):
- Green background: bullish regime.
- Red background: bearish regime.
- Neutral colors: sideways or mixed regime.
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Additional Resources (Optional) :
This description is complete and self-contained; no external materials are required to understand how the script works or how to use it. Any separate educational ideas or examples are optional and serve only as additional illustration.
Disclaimer: MTF Target Radar is a decision-support tool, not a standalone trading system. All trading involves risk, and past cluster performance does not guarantee future results. Always backtest and apply proper risk management.
BTCUSD RSI + Fear & GreedA chill rsi + fear n greed indicator draft, may need some touch ups but seems to be a solid concept on paper :)
REVE_d“REVE” is an indicator developed by a team of four people: two Japanese, one American, and one Canadian. We selected around 20 financial and management-related indicators, mainly focusing on fundamentals, and fed historical data of past ten-bagger stocks into AI. The AI was then tasked with discovering combinations and calculation formulas that have a strong correlation with stock price movements.
While predicting stocks ten years ahead is difficult, the core idea of the REVE project is this: by analyzing and verifying the common patterns found in past ten-bagger stocks, we may be able to identify stocks that could experience sharp price increases over a period of several years.
As a result, we discovered an indicator that begins to rise ahead of major stock price surges. Of course, it does not apply to every stock, but its effectiveness becomes clear when tested on past stocks that doubled or tripled in price over the last few years. The name “REVE” was chosen by the Canadian member of the team.
We are currently validating the indicator using both Japanese and U.S. stocks. We plan to release it through Kabu-Ojisan as an indicator for Japanese stocks, which has already been validated first. Since the verification process is still ongoing, the source code will not be made public; however, it will be shared free of charge with acquaintances.
---- How to Use ----
The usage of REVE is extremely simple. Display a stock price chart on a daily timeframe or higher, and show the REVE indicator at the same time.
The REVE chart rises and falls at a relatively slow pace. The score typically changes on a roughly quarterly basis, and the key points are both the number of consecutive score increases and the score level itself.
The conditions are as follows:
1. The score rises consecutively four times
2. The score reaches a predefined threshold
When these two conditions occur simultaneously and a long position is taken, there is a strong expectation—based on statistical verification using historical data—that the stock price will rise significantly several months later and continue to increase over a long period.
Regarding condition (2), when the score reaches 2.0, the probability of a subsequent price increase is quite high, making it a recommended entry point for a long position. However, cases where the score reaches 1.0 are also sufficiently meaningful and can serve as useful entry points. In the indicator, the chart color changes when the REVE score reaches 1.0 or higher, and changes again when it reaches 2.0 or higher, making these levels visually easy to identify. (When the REVE score is lower than 1.0, a rise in the stock price should not be expected.)
Please note that after the REVE score reaches its threshold, once the stock price begins to rise, the REVE score will usually start to decline. If the REVE score continues to rise instead, it may indicate the potential for further opportunities.
Below are several sample validation results using Japanese stocks.
OTE Visualizer by AvenoirOTE Visualizer by Avenoir - Premium Fib-Based Structure Mapping
OTE Visualizer by Avenoir is a clean, modern market-structure indicator designed to automatically detect and visualize Optimal Trade Entry (OTE) zones using true ICT-style fib logic.
It identifies valid bullish and bearish impulse legs based on swing structure, then plots discount and premium retracement zones for high-probability entries.
This tool is built for precision, clarity, and algorithmic consistency.
🔶 Key Features
✔ Automatic OTE Zones (Bullish & Bearish)
Bullish OTE = deep discount zone from the prior swing low → swing high
Bearish OTE = deep premium zone from the prior swing high → swing low
Uses exact retracement levels: 62% – 79%, with optional 70.5% midline
✔ Active vs Old OTE Visualization
The most recent OTE is highlighted
Older OTE zones are automatically:
Faded, or
Completely hidden (optional toggle)
This keeps charts clean while maintaining structure awareness.
✔ Swing Structure Detection
Uses pivot-based swing identification
Tracks swing highs/lows and builds legs only when structure is valid
Optional labels for swing points
✔ Impulse Leg Lines
Draws the actual impulse leg used for OTE generation
Shows exactly which high/low produced the zone
Helps traders understand the logic behind each OTE
✔ BOS (Break of Structure) Detection
Marks BOS↑ when price closes above the previous swing high
Marks BOS↓ when price closes below the previous swing low
Useful confirmation for shift in market direction
✔ ATR-Based Impulse Filtering
Optional filter to ensure OTEs only form on significant moves:
Choose ATR length
Choose minimum impulse size (ATR multiples)
Removes noise and minor swings
Produces cleaner, more reliable OTE zones
✔ Fully Customizable Visuals
Choose any colors
Adjust opacity
Show/hide individual elements
Clean, minimalist aesthetic that blends beautifully into charts
🎯 Ideal For
ICT / Smart Money Concepts traders
Algo/systematic traders
Scalpers to swing traders
Anyone wanting clear structure-based OTE zones
Traders building automated or rule-based trading models
📌 How to Use
Identify trend direction
Wait for a bullish or bearish BOS
Watch for price to retrace into the active OTE zone
Combine with liquidity sweeps, displacement candles, FVGs, or other SMC/ICT techniques
Execute trades in premium/discount areas with strong context
✨ Final Notes
This indicator is built for precision and clarity.
It does not repaint and provides an objective, consistently structured view of OTE zones across any market or timeframe.
For traders who rely on execution models, structural mapping, and disciplined entries, this is your new foundation tool.
Trend Bias Impulse Range Spread Aware TP SLThis indicator combines two simple concepts into one practical trade-planning workflow:
Trend Bias (SMA filter) decides direction only (LONG/SHORT).
Impulse Range (HH–LL over a lookback) decides position sizing logic only (how far TP/SL are placed).
The value is in how these parts work together to produce a complete and readable setup on-chart: Entry + Spread-aware SL + 3 Targets + Zones + TP hit tracking in one tool, so you don’t have to manually draw levels every time bias changes.
Calculations
Trend bias
SMA = sma(close, smaLen)
If close > SMA → LONG, else → SHORT
Impulse range (dynamic sizing unit)
impulseRange = highest(high, lenImpulse) - lowest(low, lenImpulse)
Entry / Setup generation
A new setup is created when:
bias flips (LONG↔SHORT), or
the previous setup is completed (TP3 reached or SL reached).
Entry is the close price on the setup bar. Levels stay fixed until the next setup.
Targets & Stop (range fractions)
TP1 = 0.382 × impulseRange
TP2 = 0.618 × impulseRange
TP3 = 0.786 × impulseRange
SL = levelRatio × impulseRange opposite to trade direction
Spread-aware adjustment (execution realism)
User input spreadPts shifts levels:
LONG: TPs − spread, SL + spread
SHORT: TPs + spread, SL − spread
Chart visuals
Lines: Entry, SL, TP1, TP2, TP3
Zones:
Entry→TP1 (first target block)
TP1→TP3 (profit zone)
Entry→SL (risk zone)
Table (top-right) shows all prices; ✅ appears only when TP levels are reached.
Inputs (UI translation)
Длина импульса = Impulse length (lenImpulse)
Длина SMA = SMA length (smaLen)
SL/TP множитель = SL multiplier (levelRatio)
Spread (пункты) = Spread in points (spreadPts)
Notes / limitations
Indicator only (not a strategy). No order placement. Always test on your symbol/timeframe and use risk management. For publication screenshots, keep symbol, timeframe, and script name visible in the chart header.
Wolf 2.v1 [Trend & Pullback]Wolf 2.v1 — Trend & Pullback Trading Indicator
//You can disable the Pullback signals in the settings. I will continue improving and updating the indicator over time. The Trend logic is already working perfectly.
Wolf 2.v1 is a trend-following indicator with optional pullback entries, designed for clean trend trading and structured risk management.
How it works:
• The main trend is detected using a 6-EMA ribbon (EMA 30–60)
• Trend Buy appears when all EMAs align upward
• Trend Sell appears when all EMAs align downward
Pullback logic (PB Buy / PB Sell):
• Pullback signals appear only after a confirmed trend signal
• PB trades are taken strictly in the direction of the active trend
• Price must pull back toward selected EMAs and remain above (or below) EMA60
• Optional risk-reward filter (RR ≥ 2) for higher-quality setups
• Pullback signals can be enabled or disabled in the settings
• Each new PB signal automatically removes previous PB levels to keep the chart clean
Trade visualization:
• Automatic Entry, Stop-Loss, and up to 4 Take-Profit levels
• Separate SL logic for Trend and Pullback trades
• Clear BUY / SELL and PB labels directly on the chart
Extras:
• Multi-Timeframe trend dashboard
• Non-repainting signals
• Suitable for Forex, Gold, and Crypto markets
Best used on M15–H1 timeframes during strong trends.
Orbedud_Rebourne_V2_SubgraphOrbedud Rebourne Trading Indicator
A fully adaptive, multi-timeframe trend detection system.
The Orbedud Rebourne indicator analyzes market dynamics across multiple perspectives simultaneously, providing clear directional signals without requiring manual parameter optimization. The system automatically adapts to changing market conditions and different timeframes, making it suitable for futures, stocks, and forex trading.
Key Features:
Self-adapting to any market or timeframe
Consensus-based signals for high-confidence entries
Normalized strength meter (-100 to +100) for objective trend measurement
Visual trend lines with color-coded market states
Built-in signal filtering to reduce false entries
Outputs:
Master trend line with support/resistance levels
Entry signals with confirmation markers
Market strength visualization
Session level tracking
Orbedud_Rebourne V2Orbedud Rebourne Trading Indicator
A fully adaptive, multi-timeframe trend detection system.
The Orbedud Rebourne indicator analyzes market dynamics across multiple perspectives simultaneously, providing clear directional signals without requiring manual parameter optimization. The system automatically adapts to changing market conditions and different timeframes, making it suitable for futures, stocks, and forex trading.
Key Features:
Self-adapting to any market or timeframe
Consensus-based signals for high-confidence entries
Normalized strength meter (-100 to +100) for objective trend measurement
Visual trend lines with color-coded market states
Built-in signal filtering to reduce false entries
Outputs:
Master trend line with support/resistance levels
Entry signals with confirmation markers
Market strength visualization
Session level tracking
VOLKDW!This indicator displays real-time trading volume to help identify institutional participation, momentum strength, and potential reversals.
Volume bars expand during periods of high market interest, often confirming breakouts, trend continuations, and high-probability entries. Contracting volume can signal exhaustion, consolidation, or weakening trends.
How to Use:
Rising price + rising volume → strong trend confirmation
Rising price + falling volume → possible divergence or fake breakout
High volume spikes → institutional activity or key decision points
Low volume zones → chop, consolidation, or no-trade environments
Best used alongside price action, support/resistance, ORB, and market structure for confirmation—not as a standalone signal.
💣 Volume Pressure Indicator – Description (Aggressive / Trader Style)
This indicator tracks raw volume pressure to expose where real money steps in.
Explosive volume bars often mark:
Breakouts that actually matter
Stop runs
Reversal traps
Trend continuation fuel
When price moves without volume, it’s usually fake.
When volume expands, something real is happening.
Trading Logic:
Volume spike + breakout = high-conviction move
Volume spike + rejection = reversal / fade setup
Weak volume = sit on hands
Climax volume = trend exhaustion warning
Designed to keep you out of dead markets and in sync with momentum.
Top Performer Dashboard (22 Stocks)added to your chart you can add up to 22 individual stocks, it will rank them from highest to lowest growth over 4 time frames, 1 week, 1 month, 3 month and 6 months. you can sort the results by each time frame.
please enjoy
Benner Cycle (TT314)This indicator replicates the famous "Benner Cycle," first published by Samuel Benner in 1875. Originally based on commodities prices.Includes Benner’s original descriptions for zones A, B, and C directly on the chart.
i.redd.it
MTF ATR LadderMTF ATR Ladder plots a higher‑timeframe ATR‑based ladder around a central pivot, mapped to your holding style (Scalp, DayTrade, ShortSwing, LongSwing, MediumHold, LongTerm). It anchors to regular‑session closes and computes a mode‑based central pivot plus configurable ATR levels: trigger bands at ±0.236 ATR, fib steps (±0.382/0.50/0.618/0.786), and core ±1 ATR, with optional ATR extensions out to ±3 ATR. You can independently toggle central, daily, weekly, monthly, and quarterly pivots and labels, choose current vs previous HTF close, customize line width/color, and control whether price, ATR labels, or both are shown at each level for clean intraday or swing execution framing
Valex Bot - V3Valex Bot V3 is a macro trend intelligence indicator designed to cut through market noise and highlight the most important directional shifts in price. Built for traders who prioritize clarity and confidence, it delivers clean, visually intuitive trend guidance along with precise buy and sell signals that align with major market cycles. By anchoring its analysis to higher-timeframe market structure, Valex Bot V3 helps users stay on the right side of powerful trends while avoiding emotional overtrading and false signals common on lower timeframes. Whether used as a standalone trend system or as a directional filter for entries, it excels at identifying high-probability market phases across crypto, forex, and traditional markets.
9:30 High / Low Start at Candleالعربية
اسم المؤشر: 9:30 هاي – فاصل 30 دقيقة فقط
الوصف:
هذا المؤشر يقوم برسم خط أفقي عند أعلى سعر (High) لشمعه افتتاح السوق الأمريكي الساعة 9:30 صباحًا بتوقيت نيويورك.
يعمل فقط على الفواصل الزمنية 30 دقيقة وأقل، ويمتد الخط حتى نهاية اليوم.
يمكنك اختيار عرض اليوم الحالي أو اليوم السابق فقط.
يعتبر أداة مفيدة لتحديد مستويات المقاومة والاختراقات المهمة خلال جلسة التداول الأمريكية.
المميزات:
رسم الخط مباشرة على شمعة 9:30.
تمديد الخط حتى نهاية اليوم تلقائيًا.
خيار عرض اليوم الحالي أو اليوم السابق فقط.
يعمل بدقة مع توقيت نيويورك والتوقيت الصيفي.
English
Indicator Name: 9:30 High – 30m Only
Description:
This indicator draws a horizontal line at the High of the US market opening candle at 9:30 AM New York time.
It works only on 30-minute charts or lower, and the line extends automatically until the end of the day.
You can choose to display the current day or the previous day only.
This tool is useful for identifying key resistance levels and potential breakouts during the US trading session.
Features:
Line plotted directly on the 9:30 candle.
Line extends automatically to the end of the day.
Option to show current day or previous day only.
Fully compatible with New York time and daylight saving.
PAN ADR/AWR/AMR/AQR/AYR Zones V2Overview
This indicator displays multi-timeframe trading zones based on historical price ranges. It calculates dynamic support and resistance levels across five different timeframes (daily, weekly, monthly, quarterly, yearly) to help identify potential price boundaries and breakout areas.
Core Functionality
Daily Zones (Red)
Calculates Average Daily Range (ADR) using a configurable period (default: 22 days)
Creates upper and lower zones around the daily opening price
Adjustable offset percentage to expand/contract the zone width
Updates at the start of each new trading day
Weekly Zones (Blue)
Calculates Average Weekly Range (AWR) using a configurable period (default: 52 weeks)
Creates upper and lower zones around the weekly opening price
Adjustable offset percentage for zone width customization
Updates at the start of each new trading week
Monthly Zones (Green)
Calculates Average Monthly Range (AMR) using a configurable period (default: 12 months)
Creates upper and lower zones around the monthly opening price
Adjustable offset percentage for fine-tuning
Updates at the start of each new month
Quarterly Zones (Orange)
Calculates Average Quarterly Range (AQR) using a configurable period (default: 8 quarters)
Creates upper and lower zones around the quarterly opening price
Adjustable offset percentage for zone adjustment
Updates at the start of each new quarter
Yearly Zones (Purple)
Calculates Average Yearly Range (AYR) using a configurable period (default: 5 years)
Creates upper and lower zones around the yearly opening price
Adjustable offset percentage for customization
Updates at the start of each new year
Key Features
Band Thickness Control: All zones include adjustable band thickness (default: 0.1%) to create visible bands rather than single lines, making support/resistance areas clearer.
Individual Timeframe Toggle: Each timeframe can be independently enabled or disabled, allowing focused analysis on specific time horizons.
Customizable Transparency: Each timeframe's zones have adjustable transparency settings (0-100%) for better visual management when multiple zones overlap.
Non-Repainting Calculation: All calculations occur only at the start of each respective period, ensuring historical zones remain fixed and don't repaint.
Offset Adjustment: Each timeframe includes an offset percentage to expand or contract the zones relative to the calculated average range.
Practical Applications
Range Trading: Identify potential support and resistance levels for range-bound trading strategies
Breakout Confirmation: Use zone breaks as confirmation signals for trend continuation or reversal
Multi-Timeframe Analysis: Compare zones across different timeframes to identify confluence areas
Risk Management: Set stop-loss and take-profit levels based on zone boundaries
Market Structure: Understand how price interacts with historical range boundaries
Usage Tips
Higher Timeframe Priority: Zones from longer timeframes (yearly, quarterly) generally carry more significance than shorter timeframe zones.
Zone Confluence: Areas where multiple timeframe zones overlap often represent stronger support/resistance levels.
Band Thickness: Adjust the band thickness based on your trading style - thinner bands for precise entries, thicker bands for broader areas.
Offset Settings: Increase offsets in volatile markets, decrease in ranging markets.
Transparency Management: When analyzing multiple timeframes, use higher transparency for less important timeframes to reduce visual clutter.
The indicator is particularly useful for swing traders and position traders who need to understand how current price action relates to historical range boundaries across different time horizons.
Planetary Retrograde Periods█ PLANETARY RETROGRADE PERIODS
Visualize when planets appear to move backward through the zodiac. This indicator detects and displays retrograde motion for all 8 planets that exhibit apparent retrograde motion from Earth's perspective: Mercury, Venus, Mars, Jupiter, Saturn, Uranus, Neptune, and Pluto.
Powered by the BlueprintResearch lib_ephemeris library.
█ FEATURES
• 8 Planets Supported — Mercury, Venus, Mars, Jupiter, Saturn, Uranus, Neptune, and Pluto
• Two-Phase Visualization — Distinguishes first half (speed increasing in retrograde direction) from second half (speed decreasing toward direct motion) with different transparency levels
• Future Projections — Projects upcoming retrograde periods up to 500 bars ahead on any timeframe
• Station Markers — Clear labels for Station Retrograde (℞), Midpoint (½), and Station Direct (D)
• Timezone-Aware Labels — Future date/time labels display in your selected timezone
• Alert Conditions — Set alerts for station retrograde, station direct, or any station point
• Per-Planet Colors — Customize colors for each planet individually
• Speed-Based Detection — More accurate than longitude-based methods
█ HOW TO USE
1. Select a Planet — Choose which planet to track from the dropdown (Mercury through Pluto)
2. Enable Two-Phase Display — Toggle "Show Retrograde Halves" to see first half vs. second half shading
3. Configure Future Projections — Set how many bars ahead to scan (1-500) and enable/disable date labels
4. Set Your Timezone — Choose your timezone for accurate future date/time display
5. Customize Colors — Adjust planet colors, transparency levels, and label text color to match your chart theme
6. Create Alerts — Use TradingView's alert system with the built-in conditions for station points
█ UNDERSTANDING THE DISPLAY
Background Colors:
• First Half of the Planet’s retrograde (lighter shade)
• Second Half of the Planet’s retrograde period (darker shade)
Future Projection Lines:
• ℞ (Station Retrograde) — Yellow dotted line marking when the planet will station retrograde
• ½ (Midpoint) — Shorter line in planet color marking the halfway point of the retrograde period
• D (Station Direct) — Green dotted line marking when the planet will station direct
Labels:
• Top label shows planet symbol and station type
• Bottom label shows projected date and time (optional)
█ ACCURACY
This indicator uses speed-based detection
Timing Accuracy:
• All planets (Mercury through Pluto): Within hours to ±1 day
• Future projections maintain accuracy up to 500 bars on any timeframe
• Spot tested on Daily and Weekly charts with excellent results
For Critical Applications:
Cross-reference with professional ephemeris tools such as JPL Horizons or Swiss Ephemeris for mission-critical timing.
█ TECHNICAL DETAILS
Theory: VSOP87 (Mercury through Neptune), Meeus algorithms (Pluto)
█ REFERENCES
• Meeus, Jean. "Astronomical Algorithms" (2nd Edition, 1998)
• Bretagnon & Francou. "VSOP87 Solutions" — Astronomy and Astrophysics 202 (1988)
Stochastic Extreme Oscillator [MatrixQuantLabs]Stochastic Extreme Oscillator is an enhanced stochastic-based oscillator designed to highlight market extremes, momentum shifts, and potential reversal zones with improved visual clarity and signal filtering.
This indicator builds upon the classic Stochastic Oscillator by focusing on extreme zone behavior, peak & trough signals, and optional divergence detection, making it suitable for both discretionary and systematic traders.
Key Features
Extreme Zone Visualization
• Multi-level overbought (80–100) and oversold (0–20) zones with adaptive color intensity help assess the strength and risk level of market extremes at a glance.
Momentum-Aware Coloring
• The %D line dynamically changes color based on its position relative to the zero line, providing an intuitive view of bullish, neutral, and bearish momentum states.
Peak & Trough Signals
• Optional bullish and bearish signals are triggered only when %K / %D cross occurs inside extreme zones, helping filter out low-quality signals in mid-range conditions.
Regular Divergence Detection
• Built-in bullish and bearish divergence detection based on pivot structure, allowing early identification of potential trend reversals.
Clean & Focused Design
• The indicator emphasizes the %D line as the primary signal source, while %K is used internally for logic, keeping the chart uncluttered and easy to read.
Customization
• Adjustable %K / %D lengths and smoothing
• Toggle peak & trough signals on/off
• Optional divergence detection with configurable pivot sensitivity
• Designed to work across different markets and timeframes
Usage Notes
• Best used as a momentum and extreme-condition oscillator, not as a standalone trading system
• Signals are most effective when combined with trend context, price structure, or higher-timeframe analysis
• Divergence signals may appear with delay due to pivot confirmation logic
Disclaimer
This indicator is intended for educational and analytical purposes only and does not constitute financial advice. Always apply proper risk management and confirm signals with additional analysis.
Smart Money Concept, Modern ViewSmart Money Concept, Modern View (SMCMV)
Institutional Volume Flow Analysis with VWMA Matrix
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📌 OVERVIEW
SMCMV is an advanced institutional-grade indicator that combines Volume-Weighted Moving Average (VWMA) matrix analysis with sophisticated volume decomposition to detect buyer and seller entry points. The indicator provides a comprehensive real-time dashboard displaying market structure, volume dynamics, and validated trading signals.
Key Features:
• Dual Volume Model: Geometry-based (candle range split) and Intrabar (precise LTF data)
• 10-Period VWMA Spectrum: Multi-timeframe support/resistance matrix (7, 13, 19, 23, 31, 41, 47, 67, 83, 97)
• 5-Layer Scoring System: 100-point institutional-grade signal quality assessment
• State Machine Signal Engine: Validated entry/exit signals with timer and range confirmation
• Real-time Prediction Engine: Candle-by-candle buyer/seller probability estimation
• High Volume Node Detection: Automatic identification of significant volume zones
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📊 DASHBOARD REFERENCE
1) NOW VECTOR (Current Market State)
This section captures the immediate market conditions:
• FLOW ANGLE: Directional angle of price movement in degrees (from VWMA-5). Positive = bullish, Negative = bearish.
• LTP: Last Traded Price - current close price.
• NET FLOW (Δ): Volume Delta - net difference between buying and selling volume. Shows ⚡+ or ⚡-.
• LIQUIDITY: Total volume on the current bar (K/M format).
• BUY VOL: Estimated buying volume based on selected model.
• SELL VOL: Estimated selling volume.
• BID PRES.: Buying volume as percentage of total volume.
• ASK PRES.: Selling volume as percentage of total volume.
• DIRECTION: Current state with hysteresis: BULL (🐂), BEAR (🐻), or NEUT (⚪).
2) DATA QUALITY / CONFIG
Configuration status and data integrity monitoring:
• VOL MODEL: INTRABAR (uses LTF data) or GEOMETRY (estimates from candle structure).
• IB LTF: Intrabar Lower Timeframe for precise volume decomposition.
• MODE: Micro (7 periods: 7-47) or Macro (10 periods: 7-97).
• IB OK: Intrabar data validity - OK or NO.
• IB STREAK: Consecutive bars with valid intrabar data.
• LATENCY: Data freshness indicator. ✓ = current, ↺ = using historical reference.
3) STRUCTURE RADAR
Market structure analysis showing price position relative to VWMA matrix:
• WIRES ▲/▼: Count of VWMAs above (resistance) and below (support).
• RES: Nearest Resistance - shows MA period, "ZN RES", or "BLUE SKY".
• SUPP: Nearest Support - shows MA period, "ZN SUPP", or "FREE FALL".
4) ACTIVE INTERACTION
Real-time analysis of price interaction with key levels:
• Header Status: "⚠ TESTING SUPPLY (ASK SIDE)" / "⚠ TESTING DEMAND (BID SIDE)" / "--- NO KEY INTERACTION ---"
• TARGET: Active level being tested (MA period or zone type).
• TEST LEVEL: Exact price level being tested.
• SCORE: Total score (0-100%) with letter grade .
• VOLUME POWER: Volume ratio vs historical average (e.g., "2.5x").
• BREAKOUT: "CONFIRMED" if attacking volume exceeds defending, "REJECTED" otherwise.
• DELTA DIR: "ALIGNED" if delta matches accumulation trend, "CONFLICT" if opposing.
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🎯 5-LAYER SCORING SYSTEM (100 Points Total)
Layer 1: Volume Quality (Max 25 pts)
• Mass (0-10): Volume ratio vs average. 0.5x=0, 1.0x=5, 2.0x=8, 3.0x+=10
• Spike (0-8): Volume Z-Score intensity
• Trend (0-7): Volume trend alignment with price direction
Layer 2: Battle Structure (Max 25 pts)
• Break (0-10): Breakout intensity ratio (attacker vs defender)
• Dom (0-8): Internal dominance ratio
• Pres (0-7): Pressure imbalance percentage
Layer 3: Flow & Energy (Max 20 pts)
• Delta (0-8): Delta alignment with accumulation trend
• Accel (0-6): Delta acceleration
• Mom (0-6): Flow momentum
Layer 4: Geometry (Max 15 pts)
• Impact (0-7): Impact angle directness
• Vec (0-5): Vector alignment
• PriceZ (0-3): Price Z-Score position
Layer 5: Army Structure (Max 15 pts)
• Stack (0-5): MA stack depth
• Conf (0-5): Confluence percentage
• Trend (0-5): Trend alignment count (7>13, 13>23, 23>97)
Grade Scale:
• A+ = 90-100 pts (Exceptional)
• A = 80-89 pts (Strong)
• B+ = 70-79 pts (Good)
• B = 60-69 pts (Moderate)
• C+ = 50-59 pts (Below average)
• C/D/F = Below 50 pts (Weak)
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5) SIGNAL STATUS PANEL
Real-time signal state machine status:
• Header: "🐂 BUYERS ACTIVE" / "🐻 SELLERS ACTIVE" / "⏳ VALIDATING..." / "⏸ RANGE / FLAT"
• LOCK PRICE: Price at which signal was locked/confirmed.
• RANGE ±: Validation range percentage.
• POSITION: Price vs lock: "▲ ABOVE" / "▼ BELOW" / "● AT LOCK"
• DISTANCE: Percentage distance from lock price.
• vs RANGE: Position vs validation range: "IN_RANGE" / "ABOVE" / "BELOW"
• VAL TICKS: Validation progress (current/required ticks).
6) REALTIME PREDICTION PANEL
Candle prediction engine:
• WINNER: Predicted dominant side: "BUYERS" / "SELLERS" / "NEUTRAL"
• CONFIDENCE: Prediction confidence percentage.
• ACCURACY: Historical prediction accuracy (session-specific).
• BUY/SELL PROB: Individual probabilities for each side.
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🏷️ SIGNAL LABELS REFERENCE
• 🐂 BUYER ENTRY (Green): Confirmed buyer entry signal. Validation complete.
• 🐻 SELLER ENTRY (Red): Confirmed seller entry signal. Validation complete.
• 🔻 REVERSAL BUY→SELL (Magenta): Reversal from buyer to seller position.
• 🔺 REVERSAL SELL→BUY (Cyan): Reversal from seller to buyer position.
• ⏹ EXIT → FLAT (Gray): Position exit to flat/neutral state.
• ⬆ BUYER STRONGER (Small Green): Lock price updated higher during buyer state.
• ⬇ SELLER STRONGER (Small Red): Lock price updated lower during seller state.
Display Modes:
• Minimal: Icon only (hover for tooltip details)
• Normal: Icon + Price level
• Detailed: Full information (price, score, grade)
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📈 CHART ELEMENTS
VWMA Spectrum Lines
Colored gradient lines representing the 10-period VWMA matrix. Color progresses from light blue (fast: 7-period) through purple to orange (slow: 97-period). These act as dynamic support/resistance levels weighted by volume.
High Volume Node Lines
• Blue Lines: High Buy Volume zones - potential demand areas
• Red Lines: High Sell Volume zones - potential supply areas
• Yellow Lines: Overlapping zones (buy + sell extremes) - high conflict areas
Lock Price Line & Range Band
• Dashed Line: Locked price level (green for buyers, red for sellers)
• Dotted Lines: Upper/lower bounds of validation range
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⚙️ INPUT SETTINGS GUIDE
Volume Model
• Calculation Method: "Geometry (Candle-Range Split)" for universal compatibility or "Intrabar (Precise)" for accurate buy/sell separation.
• Intrabar LTF: Lower timeframe for Intrabar mode (e.g., "1" for 1-minute).
Direction Filter
• Direction Trigger Angle: Threshold for directional state change (default: 1.5°)
• Neutral Reset Angle: Threshold for returning to neutral (default: 0.7°)
Testing Filter
• Level Proximity (%): How close price must be to "test" a level (default: 0.25%)
• Require Wick Touch: If enabled, requires high/low to touch proximity band.
Signal Validation
• Lock Range (%): Price range for validation (default: 0.5%)
• Validation Ticks: Consecutive bars required (default: 3)
• Validation Time: Minimum seconds for real-time confirmation (default: 5)
• Minimum Hold Bars: Stay in position for at least this many bars (default: 5)
• Exit Mode: "Reversal Only" / "Signal Loss" / "Price Stop"
• Stop Loss (%): Exit threshold (default: 1.0%)
Signal Score Filter
• Score Range Minimum: Minimum score for signal generation (default: 10%)
• Score Range Maximum: Maximum score threshold (default: 100%)
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💡 USAGE RECOMMENDATIONS
1. Start with Macro mode to see the complete VWMA spectrum, then switch to Micro for cleaner charts.
2. Use Intrabar mode when your broker provides lower timeframe data.
3. Focus on high-grade signals (B+ or better) for higher probability setups.
4. Wait for validation to complete before acting on signals.
5. Use the Lock Price line as your reference for position management.
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⚠️ IMPORTANT NOTES
• This indicator is designed for educational and analytical purposes.
• Always combine with proper risk management and additional confirmation.
• Past performance and signal quality do not guarantee future results.
• The prediction accuracy is session-specific and resets on chart reload.
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Volume-Based Indicator — Data Granularity & Table Guide
1) Critical warning about data granularity (read first)
Important: This indicator is built entirely on volume-derived calculations (volume, volume delta, and related flow metrics). Because of that, its precision is only as good as the granularity and history of the data you feed it.
The most granular view is a tick-based interval (e.g., 1T = one trade/tick). If tick-based intervals are not available for your symbol or your plan, the closest time-based approximation is a 1-second chart (1S).
If you enable any "high-precision / intrabar" options (anything that relies on the smallest updates), make sure you understand which TradingView plan you are using, because intrabar historical depth (how many bars you can load) varies by plan. More history generally means more stable baselines for volume statistics, regime detection, and long lookback features.
Plan-related notes (TradingView)
TradingView limits how many intrabar historical bars can be loaded, depending on your plan. The exact limits are defined by TradingView and can change over time, but as of the current documentation, the intrabar limits are:
• Basic: 5,000 bars
• Essential: 10,000 bars
• Plus: 10,000 bars
• Premium: 20,000 bars
• Expert: 25,000 bars
• Ultimate: 40,000 bars
Tick charts / tick-based intervals are currently positioned as a feature of professional-tier plans (e.g., Expert/Elite/Ultimate). Availability may also vary by symbol and data feed.
SRM Version EMA Buy/Sell V3The Smart Reversal Matrix indicator is designed to identify high-probability market reversal zones by combining Price Action, Momentum Filters (MACD & RSI), and the Price pattern structure.
This tool helps traders visualize potential Buy (bullish) and Sell (bearish) turning points with dynamic market structure mapping.
It’s suitable for scalpers, swing traders, and day traders who want a clear visual confirmation of reversals in trend direction.
⚠️ Disclaimer
This indicator is a technical analysis tool, not financial advice.
Always confirm signals with your own strategy and risk management rules before trading live markets.
🔍 How to Use It
1️⃣ Check Market Trend
Above EMA 20 → bullish bias
Below EMA 20 → bearish bias
2️⃣ Wait for Reversal Signal
BUY signal = bullish swing reversal
SELL signal = bearish swing reversal
3️⃣ Confirm Candle Strength (Optional)
Bar “1” or “2” after signal often gives earliest entry
Bar “3-5” useful for pullback entries
4️⃣ Plan Trade Levels
Use swing high/low for stop placement
Optionally project lines +500 pips / −500 pips for targets (Forex)
