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Indicadores e estratégias

Heatmap Trailing Stop with Breakouts (Zeiierman)█ Overview Heatmap Trailing Stop with Breakouts (Zeiierman) is a trend and breakout detection tool that combines dynamic trailing stop logic, Fibonacci-based levels, and a real-time market heatmap into a single, intuitive system. This indicator is designed to help traders visualize pressure zones, manage stop placement, and identify breakout opportunities supported by contextual price–derived heat. Whether you're trailing trends, detecting reversals, or entering on explosive breakouts — this tool keeps you anchored in structure and sentiment. It projects adaptive trailing stop levels and calculates Fibonacci extensions from swing-based extremes. These levels are then colored by a market heatmap engine that tracks price interaction intensity — showing where the market is "hot" and likely to respond. On top of that, it includes breakout signals powered by HTF momentum conditions, trend direction, and heatmap validation — giving you signals only when the context is strong. █ How It Works ⚪ Trailing Stop Engine At its core, the script uses an ATR-based trailing stop with trend detection: ATR Length – Defines volatility smoothing using EMA MA of true range. Multiplier – Expands/retracts the trailing offset depending on market aggression. Real-Time Extremum Tracking – Uses local highs/lows to define Fibonacci anchors. ⚪ Fibonacci Projection + Heatmap With each trend shift, Fibonacci levels are projected from the new swing to the current trailing stop. These include: Fib 61.8, 78.6, 88.6, and 100% (trailing stop) lines Heatmap Coloring – Each level'slevel's color is determined by how frequently price has interacted with that level in the recent range (defined by ATR). Strength Score (1–10) – The number of touches per level is normalized and averaged to create a heatmap ""score"" displayed as a colored bar on the chart. ⚪ Breakout Signal System This engine detects high-confidence breakout signals using a higher timeframe candle structure: Bullish Breakout – Strong bullish candle + momentum + trend confirmation + heatmap score threshold. Bearish Breakout – Strong bearish candle + momentum + trend confirmation + heatmap score threshold. Cooldown Logic – Prevents signals from clustering too frequently during volatile periods. █ How to Use ⚪ Trend Following & Trail Stops Use the Trailing Stop line to manage positions or time entries in line with trend direction. Trailing stop flips are highlighted with dot markers. ⚪ Fibonacci Heat Zones The projected Fibonacci levels serve as price magnets or support/resistance zones. Watch how price reacts at Fib 61.8/78.6/88.6 levels — especially when they're glowing with high heatmap scores (more glow = more historical touches = stronger significance). ⚪ Breakout Signals Enable breakout signals when you want to trade breakouts only under strong context. Use the "Heatmap Strength Threshold" to require a minimum score (1–10). █ Settings Stop Distance ATR Length – ATR period for volatility smoothing Stop Distance Multiplier – Adjusts the trailing stop'sstop's distance from price Heatmap Range ATR Length – Defines how far back the heatmap scans for touches Number of Heat Levels – Total levels used in the heatmap (more = finer resolution) Minimum Touches per Level – Defines what counts as a ""hot"" level Heatmap Strength Threshold – Minimum average heat score (1–10) required for breakouts Timeframe – HTF source used to evaluate breakout momentum structure ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Indicador Pine Script®
por Zeiierman
8
Professional Breakout ChecklistThe " Professional Breakout Checklist Indicator " designed to automate and visually represent the stringent criteria for high-probability breakout trade entries. This indicator transforms a manual checklist into a dynamic, chart-based system, leveraging TradingView's robust charting and custom indicator capabilities . At its core, the indicator systematically identifies consolidation phases, which are crucial precursors to genuine breakouts. It achieves this by calculating the range of price action over a user-defined lookback period and comparing it to a multiple of the Average True Range (ATR), a measure of market volatility. When price tightens within this calculated range, the indicator visually shades the consolidation zone on the chart, signaling potential accumulation or distribution. For a breakout to be considered valid, the indicator demands specific volume and volatility confirmation. It calculates the average volume over a set period and only triggers a signal if the breakout candle's volume significantly exceeds this average—specifically, 1.5 times the mean volume. This ensures that the price movement has strong conviction and institutional interest behind it, filtering out weak or false breakouts. The breakout trigger mechanism is precise, requiring the breakout candle to close not just beyond the detected support or resistance, but by a user-specified number of "clearance ticks." This addresses the need to avoid noise and confirm the true breach of a level. Upon a confirmed breakout, the indicator immediately calculates and plots a suggested risk-reward setup. This includes a stop-loss level, derived from the ATR, and a take-profit target that adheres to a minimum 2:1 reward-to-risk ratio. These visual cues assist traders in defining their risk exposure and potential gains before entry. Furthermore, the indicator integrates crucial market context by offering an optional trend filter, typically a 50-period Exponential Moving Average (EMA). This ensures that breakout signals align with the broader market direction, enhancing probability. Beyond these core checklist items, the indicator incorporates professional enhancements. It provides an option to wait for retest confirmation, a strategy often employed by seasoned traders where price retests the breakout level before continuing its move, offering a potentially safer entry point. Additionally, a false breakout filter assesses the quality of the breakout candle, prioritizing those with strong bodies and minimal wicks, which are less likely to be "trap" moves. The indicator is displayed directly on the chart, using visual cues such as shaded consolidation boxes, distinct shapes for bullish/bearish entry signals, and plotted lines for stop-loss and take-profit targets. Its design enables traders to efficiently analyze setups, confirm adherence to their trading plan, and receive timely alerts for potential opportunities, streamlining the decision-making process within the dynamic trading environment of TradingView
Indicador Pine Script®
por cheekhimself
5
Support & Resistance External/Internal & BoS [sgbpulse]Market Structure Support & Resistance External/Internal & BoS Overview: Smart & Fast Market Structure Analysis The Market Structure "Support & Resistance External/Internal & BoS " indicator is designed to empower your technical analysis by automatically and precisely identifying significant support and resistance levels. It achieves this by pinpointing high and low Pivot Points, plus key Pre-Market High/Low levels. Its unique strength lies in its dynamic adaptability to any timeframe and any asset you choose. This tool analyzes the relevant market structure for the current timeframe and asset, providing you with accurate and relevant levels in real-time. The indicator maintains a clean chart and swiftly displays all support, resistance, and Pre-Market levels for any asset, saving valuable analysis time and enabling you to get a clear and quick snapshot of the market. How the Indicator Works The indicator identifies and displays three critical types of key levels: External Pivots: These are more significant pivot points, indicating important reversal points across a broader range of price movement, considering the current timeframe. The indicator draws dark green support lines (for low pivots) and dark red resistance lines (for high pivots) from these points. Internal Pivots: These are shorter-term pivot points, signifying smaller corrections or reversals within the overall structure of the current timeframe. These lines provide additional areas of interest within the ranges of the External Pivots. Pre-Market High/Low Levels: The indicator displays the High and Low reached during pre-market hours as distinct lines on the chart. Please note: These levels will only appear when the selected timeframe is lower than one day (e.g., 1-hour, 15-minute) and provided that the "Session extended trading hours" option is enabled in your TradingView chart settings. These levels are crucial for identifying potential opening ranges and critical support/resistance areas upon regular market open, especially for intraday trading. Break of Structure (BoS) Identification A key feature of this indicator is its ability to identify Break of Structure (BoS). When a support or resistance line is breached, the indicator changes the line's color to gray and displays a "Break of Structure" label, indicating a potential trend change or continuation: External BoS: When an external support/resistance line is broken, a "BoS" label in red will appear. This is a strong signal for a potential shift in the primary market structure or a strong trend continuation. Internal BoS: When an internal support/resistance line is broken, an "iBoS" label in green will appear. This indicates a break within the existing market structure, which can be used to confirm direction or identify shorter-term entry/exit opportunities. Full Indicator Customization The indicator provides maximum flexibility to suit any trading style and timeframe: Number of Lines Displayed: You can choose how many support and resistance lines you want to see on your chart. The default is 15 lines, but you can increase or decrease this number according to your needs and desired level of detail. External Pivot Settings: Define the number of bars before and after a pivot point required for External Pivot identification. Internal Pivot Settings: Define the number of bars before and after a pivot point required for Internal Pivot identification. Color Customization: Full control over colors! You can change the colors of the support and resistance lines, the colors of the Pre-Market levels, and also the colors of the BoS and iBoS labels to create a visual appearance that perfectly matches your personal preferences. This flexibility allows you to adapt the indicator to your trading style and any timeframe you operate in, without needing to manually change settings each time. Recommended Uses Clean Chart & Quick Analysis: The indicator displays important levels clearly, enabling quick identification of areas of interest without visual clutter on the chart. This significantly saves analysis time and allows you to make faster decisions. Critical Levels for Any Timeframe & Asset: Get precise and adaptive support and resistance, plus essential Pre-Market levels (in relevant timeframes), for any timeframe and on any asset you choose. Trend Direction Identification: Clear support and resistance lines help understand market structure. Breakout Confirmation: The BoS label provides visual confirmation of key level breaches, helping to confirm potential trend changes. Locating Entry & Exit Points: Use these levels as potential areas of interest for trades, after confirming a breakout or reversal. Finding Stop-Loss & Take-Profit Points: Strategically place protective stops and profit targets around these support and resistance levels. Important Note Like any technical indicator, Market Structure "Support & Resistance External/Internal & BoS " is a supplementary tool. It's highly recommended to use it in conjunction with additional analysis methods (such as price action analysis, other indicators, and fundamental analysis) for informed trading decisions. Financial markets are dynamic, and trading always carries inherent risk.
Indicador Pine Script®
por sgbpulse
Bitcoin Power Law [LuxAlgo]The Bitcoin Power Law tool is a representation of Bitcoin prices first proposed by Giovanni Santostasi, Ph.D. It plots BTCUSD daily closes on a log10-log10 scale, and fits a linear regression channel to the data. This channel helps traders visualise when the price is historically in a zone prone to tops or located within a discounted zone subject to future growth. 🔶 USAGE Giovanni Santostasi, Ph.D. originated the Bitcoin Power-Law Theory; this implementation places it directly on a TradingView chart. The white line shows the daily closing price, while the cyan line is the best-fit regression. A channel is constructed from the linear fit root mean squared error (RMSE), we can observe how price has repeatedly oscillated between each channel areas through every bull-bear cycle. Excursions into the upper channel area can be followed by price surges and finishing on a top, whereas price touching the lower channel area coincides with a cycle low. Users can change the channel areas multipliers, helping capture moves more precisely depending on the intended usage. This tool only works on the daily BTCUSD chart. Ticker and timeframe must match exactly for the calculations to remain valid. 🔹 Linear Scale Users can toggle on a linear scale for the time axis, in order to obtain a higher resolution of the price, (this will affect the linear regression channel fit, making it look poorer). 🔶 DETAILS One of the advantages of the Power Law Theory proposed by Giovanni Santostasi is its ability to explain multiple behaviors of Bitcoin. We describe some key points below. 🔹 Power-Law Overview A power law has the form y = A·xⁿ , and Bitcoin’s key variables follow this pattern across many orders of magnitude. Empirically, price rises roughly with t⁶, hash-rate with t¹² and the number of active addresses with t³. When we plot these on log-log axes they appear as straight lines, revealing a scale-invariant system whose behaviour repeats proportionally as it grows. 🔹 Feedback-Loop Dynamics Growth begins with new users, whose presence pushes the price higher via a Metcalfe-style square-law. A richer price pool funds more mining hardware; the Difficulty Adjustment immediately raises the hash-rate requirement, keeping profit margins razor-thin. A higher hash rate secures the network, which in turn attracts the next wave of users. Because risk and Difficulty act as braking forces, user adoption advances as a power of three in time rather than an unchecked S-curve. This circular causality repeats without end, producing the familiar boom-and-bust cadence around the long-term power-law channel. 🔹 Scale Invariance & Predictions Scale invariance means that enlarging the timeline in log-log space leaves the trajectory unchanged. The same geometric proportions that described the first dollar of value can therefore extend to a projected million-dollar bitcoin, provided no catastrophic break occurs. Institutional ETF inflows supply fresh capital but do not bend the underlying slope; only a persistent deviation from the line would falsify the current model. 🔹 Implications The theory assigns scarcity no direct role; iterative feedback and the Difficulty Adjustment are sufficient to govern Bitcoin’s expansion. Long-term valuation should focus on position within the power-law channel, while bubbles—sharp departures above trend that later revert—are expected punctuations of an otherwise steady climb. Beyond about 2040, disruptive technological shifts could alter the parameters, but for the next order of magnitude the present slope remains the simplest, most robust guide. Bitcoin behaves less like a traditional asset and more like a self-organising digital organism whose value, security, and adoption co-evolve according to immutable power-law rules. 🔶 SETTINGS 🔹 General Start Calculation: Determine the start date used by the calculation, with any prior prices being ignored. (default - 15 Jul 2010) Use Linear Scale for X-Axis: Convert the horizontal axis from log(time) to linear calendar time 🔹 Linear Regression Show Regression Line: Enable/disable the central power-law trend line Regression Line Color: Choose the colour of the regression line Mult 1: Toggle line & fill, set multiplier (default +1), pick line colour and area fill colour Mult 2: Toggle line & fill, set multiplier (default +0.5), pick line colour and area fill colour Mult 3: Toggle line & fill, set multiplier (default -0.5), pick line colour and area fill colour Mult 4: Toggle line & fill, set multiplier (default -1), pick line colour and area fill colour 🔹 Style Price Line Color: Select the colour of the BTC price plot Auto Color: Automatically choose the best contrast colour for the price line Price Line Width: Set the thickness of the price line (1 – 5 px) Show Halvings: Enable/disable dotted vertical lines at each Bitcoin halving Halvings Color: Choose the colour of the halving lines
Indicador Pine Script®
por LuxAlgo
3
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. ________________________________________ ## 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. ________________________________________ ## 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. ________________________________________ ## 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. ________________________________________ ## 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. ________________________________________ ## 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. ________________________________________ ## 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. ________________________________________ ## 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). ________________________________________ ## 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. ________________________________________ ## 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. ________________________________________ ## 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. ________________________________________ ## 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
Indicador Pine Script®
por BullByte
DP_MoneyFlow_Osc_V4**DP_Moneyflow_Osc_V4** is a custom, volume‐weighted momentum oscillator built around the classic Money Flow Index (MFI), with a few twists to help you spot more reliable reversal points: ***Best way to use it is to take the signals as alert points, to understand when money is starting to flow in or starting to flow out. It is not intended to be a Buy or Sell signal at the point of entry where the label is printed.*** 1. **Core Calculation** * Computes the standard MFI on your chart’s native timeframe: * Money Flow = typical price (H+L+C)/3 × volume * Segregates positive vs. negative flow based on whether price rose or fell on each bar * Smooths each with an N-bar SMA, forms the ratio, and maps it into a 0–100 scale 2. **Inversion & Smoothing** * You can **invert** the oscillator around 50 (so peaks become troughs and vice versa) with the **Reverse MFI** toggle. * Applies two layers of smoothing (one for raw noise reduction, another for longer-term trend stability). 3. **Dynamic Coloring** * Above Overbought (OB) threshold → solid red; below Oversold (OS) → solid green. * In between, it linearly fades from red/green toward black as it approaches the 50 midpoint. * **Invert Colors** flips the hue logic (red ↔ green) if you prefer. 4. **Overbought/Oversold Zones** * Plots horizontal lines at your chosen OB/OS levels. * Optionally fills the zone between them for quick visual reference. 5. **Peak/Trough Signal Labels** * Detects **true extremes** by finding when the oscillator reverses direction right at or beyond your OB/OS levels. * Prints a tiny “OB” or “OS” label **exactly at that pivot bar**, so you see the high or low of the swing. 6. **Alternation Toggle** * Prevents two consecutive “OS” or “OB” labels by enforcing strict Buy/Sell alternation—turn this on or off via **Enable Signal Alternation**. --- **Use-Case**: This oscillator excels at pinpointing the *tops* and *bottoms* of strong volume‐backed moves, giving you clear pivot markers rather than every threshold crossover. Tweak the smoothing and threshold inputs to calibrate sensitivity to your market and timeframe.
Indicador Pine Script®
por the_bandacoot
IKODO Pro Zone Marker🧠 IKODO Pro Zone Marker Automatic Support & Resistance Zone Identifier – Your Edge in the Chaos 🔍 What is it? IKODO Pro Zone Marker is an advanced, no-nonsense indicator engineered to automatically detect and display key support and resistance zones across any asset and timeframe. Designed with precision, this tool empowers traders to instantly identify reaction zones, enhancing their entries, exits, and overall market awareness. ⚙️ Core Mechanics 🧠 Intelligent Zone Detection Detects demand (support) and supply (resistance) zones using price action logic and candlestick strength. Filters for meaningful reactions and strong momentum shifts only — no noise. ⏱️ Multi-Timeframe Zone Mapping Overlay zones from 30m to 1W timeframes simultaneously. Perfect for identifying HTF confluences while scalping or swing trading. 🎯 Dynamic Zone Validation Zones self-clean when broken — no manual cleanup. Your chart stays relevant, clean, and smart. 🎨 Custom Visual Layers Custom colors, borders, and labeling for both support and resistance. Toggle price tags, zone names, and extension ranges with full control. Projection bars into the future to track potential plays. 🛠️ Configuration Options Feature Description Zone Sensitivity Adjust the strictness for zone generation Projection Length Define how far zones stretch forward in bars Timeframe Filters Choose which TFs to display zones from Zone Label Settings Customize label text, color, size, and position LTF Visibility Option to hide or show lower timeframe zones 📈 How to Trade with It Add to Chart – Load the script from your TradingView panel. Customize It – Set your desired timeframes, styling, and zone rules. Observe Reactions – Look for clean touches, wicks, or rejections at zone borders. Confluence = Confidence – Combine with RSI, MACD, order blocks, or volume analysis. Trade Smart – Let zones define risk/reward, but trust your plan. 🚫 No Gimmicks ✅ Real-time updates ✅ No repainting ✅ Works on all assets (crypto, forex, stocks, etc.) ✅ Fully rule-based and transparent 💡 "The smart trader doesn't chase price. He waits where price reacts." – Let IKODO Pro Zone Marker mark that spot. 👍 If it boosts your trading, don’t forget to give it a star and share with your fellow traders. Happy trading. – Team IKODO
Indicador Pine Script®
por IKODO
Money NoodleMoney Noodle Indicator - How It Works The Money Noodle indicator is a trend-following and support/resistance tool that combines multiple exponential moving averages (EMAs) with dynamic volatility-based bands to create a comprehensive trading system. Core Components 1. Triple EMA System ("The Noodles") Fast EMA (12): Most responsive to price changes, shows short-term momentum Medium EMA (21): Intermediate trend direction Slow EMA (35): Main trend line that acts as the central reference point The "noodle" effect comes from how these three EMAs weave around each other and the price action, creating curved, flowing lines that resemble noodles. 2. Dynamic Volatility Bands Upper Band: Main EMA + (ATR × Band Multiplier) Lower Band: Main EMA - (ATR × Band Multiplier) Uses a 20-period ATR (Average True Range) to measure market volatility Band width automatically adjusts - wider during volatile periods, tighter during consolidation How It Functions Trend Identification: When all three EMAs are aligned (fast > medium > slow), it indicates a strong uptrend When EMAs are inverted (fast < medium < slow), it signals a downtrend EMA crossovers provide early trend change signals Support & Resistance: The bands act as dynamic support and resistance levels Price tends to bounce off the bands during trending markets Band breaks often signal strong momentum moves or trend changes Volatility Assessment: Band width indicates market volatility - wider bands = higher volatility ATR-based calculation makes the bands adaptive to current market conditions The 0.0125 multiplier provides optimal sensitivity for most timeframes Trading Applications Entry Signals: Buy when price bounces off the lower band with EMA alignment Sell when price bounces off the upper band against the trend Breakout trades when price decisively breaks through bands Trend Following: Use the main EMA (35) as your trend filter Trade in the direction of EMA alignment The "noodles" help identify trend strength - tighter = stronger trend Risk Management: Bands provide natural stop-loss levels Band width helps size positions (wider bands = smaller size due to higher volatility) The indicator works best on daily timeframes and provides a visual, intuitive way to read market structure, trend direction, and volatility all in one tool.
Indicador Pine Script®
por Angelo0x
Auto Trend ChannelAuto Trend Channel This indicator automatically draws a dynamic trend channel based on the 2 most recent swing highs and 2 most recent swing lows. It supports multi-timeframe (MTF) analysis and intelligently refreshes the channel when new pivot points are formed. It’s designed to help traders visualize dynamic price channels in real time, making it useful for trend-following, breakout detection, and support/resistance analysis. 🛠️ Features: 🔍 Auto-detects pivot highs and lows using customizable sensitivity 📅 Works on any timeframe, with optional higher-timeframe input ➡️ Extends trendlines forward into the future by a defined number of bars 🔁 Automatically replaces old channels with new ones as new pivots form 🌈 Optional channel fill between upper and lower trendlines for better visualization 💡 Usage Tips: Use higher sensitivity (e.g., 15–30) on higher timeframes like Daily or Weekly Use lower sensitivity (e.g., 5–10) for intraday trading on 15m–1h charts Combine with volume or price action for entry confirmation at channel boundaries
Indicador Pine Script®
por TCMaster
1x RVOL Bull/Bear Painter REVERSAL CATCHThis powerful Indicator Paints the candle if there is a Relative Volume of 1.5 or higher. Notice that if you mark the high of the last Bullish RVOL candle (blue candle) a power reversal begins at that same price. This does the same thing for the Bearish RVOL Candle. If you mark the low of that candle (purple), a reversal begins at that price. This can be used on any time frame, but using it on higher time frames catches you HUGE SWINGS
Indicador Pine Script®
por TheTradingGoddess
BTC Dominance Zones (For Altseason)Overview The "BTC Dominance Zones (For Altseason)" indicator is a visual tool designed to help traders navigate the different phases of the altcoin market cycle by tracking Bitcoin Dominance (BTC.D). It provides clear, color-coded zones directly on the BTC.D chart, offering an intuitive roadmap for the progression of alt season. Purpose & Problem Solved Many traders often miss altcoin rotations or get caught at market tops due to emotional decision-making or a lack of a clear framework. This indicator aims to solve that problem by providing an objective, historically informed guide based on Bitcoin Dominance, helping users to prepare before the market makes its decisive moves. It distils complex market dynamics into easily digestible sections. Key Features & Components Color-Coded Horizontal Zones: The indicator draws fixed horizontal bands on the BTC.D chart, each representing a distinct phase of the altcoin market cycle. Descriptive Labels: Each zone is clearly labeled with its strategic meaning (e.g., "Alts are dead," "Danger Zone") and the corresponding BTC.D percentage range, positioned to the right of the price action for clarity. Consistent Aesthetics: All text within the labels is rendered in white for optimal visibility across the colored zones. Symbol Restriction: The indicator includes an automatic check to ensure it only draws its visuals when applied specifically to the CRYPTOCAP:BTC.D chart. If applied to another chart, it displays a helpful message and remains invisible to prevent confusion. Methodology & Interpretation The indicator's methodology is based on the historical behavior of Bitcoin Dominance during various market cycles, particularly the 2021 bull run. Each zone provides a specific interpretation for altcoin strategy: Grey Zone (BTC.D 60-70%+): "Alts Are Dead" Interpretation: When Bitcoin Dominance is in this grey zone (typically above 60%), Bitcoin is king, and capital remains concentrated in BTC. This indicates that alt season is largely inactive or "dead". This phase is generally not conducive for aggressive altcoin trading. Blue Zone (BTC.D 55-60%): "Alt Season Loading" Interpretation: As BTC.D drops into this blue zone (below 60%), it signals that the market is "heating up" for altcoins. This is the time to start planning and executing your initial positions in high-conviction large-cap and strong narrative plays, as capital begins to look for more risk. Green Zone (BTC.D 50-55%): "Alt Season Underway" Interpretation: Entering this green zone (below 55%) signifies that "real momentum" is building, and alt season is genuinely "underway". Money is actively flowing from Ethereum into large and mid-cap altcoins. If you've positioned correctly, your portfolio should be showing strong gains in this phase. Orange Zone (BTC.D 45-50%): "Alt Season Ending" Interpretation: As BTC.D dips into this orange zone (below 50%), it suggests that altcoin dominance is reaching its peak, indicating the "ending" phase of alt season. While euphoria might be high, this is a critical warning zone to prepare for profit-taking, as it's a phase of "peak risk". Red Zone (BTC.D Below 45%): "Danger Zone - Alts Overheated" Interpretation: This red zone (below 45%) is the most critical "DANGER ZONE". It historically marks the point of maximum froth and risk, where altcoins are overheated. This is the decisive signal to aggressively take profits, de-risk, and exit positions to preserve your capital before a potential sharp correction. Historically, dominance has gone as low as 39-40% in this phase. How to Use Open TradingView and search for the BTC.D symbol to load the Bitcoin Dominance chart and view the indicator. Double click the indicator to access settings. Inputs/Settings The indicator's zone boundaries are set to historically relevant levels for consistency with the Alt Season Blueprint strategy. However, the colors of each zone are fully customizable through the indicator's settings, allowing users to personalize the visual appearance to their preference. You can access these color options in the indicator's "Settings" menu once it's added to your chart. Disclaimer This indicator is provided for informational and educational purposes only. It is not financial advice. Trading cryptocurrencies involves substantial risk of loss and is not suitable for every investor. Past performance is not indicative of future results. Always conduct your own research and consult with a qualified financial professional before making any investment decisions. About the Author This indicator was developed by Nick from Lab of Crypto. Release Notes v1.0 (June 2025): Initial release featuring color-coded horizontal BTC.D zones with descriptive labels, based on Alt Season Blueprint strategy. Includes symbol restriction for correct chart application and consistent white text.
Indicador Pine Script®
por LabOfCrypto
Modified Fractal Open/CloseModified Fractal (Open/Close Based) - Indicator The Modified Fractal (Open/Close Based) indicator offers a new way to detect fractal patterns on your chart by analyzing the open and close prices instead of the traditional high and low values. 🧮 How it works: The indicator evaluates a group of 5 consecutive candles. The central candle (2 bars ago) is analyzed. For a Bullish Fractal: The open or close of the central candle must be lower than the open and close of the other 4 surrounding candles. For a Bearish Fractal: The open or close of the central candle must be higher than the open and close of the other 4 surrounding candles. Once a valid pattern is detected, a visual symbol (triangle) is plotted directly on the chart and an alert can be triggered. ✅ Key Features: Non-repainting signals (evaluated after candle close) Fully mechanical detection logic Easy-to-use visual signals Alert conditions ready to be integrated into TradingView’s alert system Suitable for multiple timeframes (can be used from M1 to Daily and beyond) 🎯 Use case: This modified fractal approach can help traders: Spot potential swing points Identify possible reversals Confirm price exhaustion zones Support breakout or mean reversion strategies ⚠ Note: This indicator does not provide trade signals by itself. It is recommended to be combined with additional tools, price action analysis, or risk management rules.
Indicador Pine Script®
por Giancarlo_Adorno
1
Market Entropy Oscillator (MEO)The Market Entropy Oscillator (MEO) on TradingView helps traders identify market trends or reversals by measuring price movement randomness (entropy). Here’s a simple guide to understand: Step 1: Add the Indicator Open TradingView, go to the Pine Editor, paste the MEO code, and click “Add to Chart.” It appears below your price chart as a colored line with triangles signaling trades. Step 2: Understand the Oscillator The MEO line moves between 0 and 1, showing market disorder. Green means low entropy (orderly, trending market), red means high entropy (chaotic, ranging market), and yellow is neutral. Two dashed lines mark key levels: Oversold (0.2, green) and Overbought (0.8, red). A gray midline (0.5) helps gauge neutrality. Step 3: Read Buy Signals Look for a green upward triangle (▲) below the oversold line (0.2). This appears when the MEO crosses below 0.2, suggesting low entropy and a potential bullish trend. Action: Consider entering a long (buy) position, as the market may start trending upward. Confirm with other indicators like moving averages. Step 4: Read Sell Signals Spot a red downward triangle (▼) above the overbought line (0.8). This shows when the MEO crosses above 0.8, indicating high entropy and a possible range or reversal. Action: Consider exiting longs or entering a short (sell) position, as the market may become choppy or bearish. Step 5: Customize and Test Adjust settings like “Lookback Period” (default: 14) or “Label Offset” (0.1) in the indicator’s inputs to fit your asset or timeframe. Backtest signals on your chart to ensure reliability. Use alerts for real-time notifications. Step 6: Combine for Success Don’t rely on MEO alone. Pair it with trend or volume indicators for stronger trades. Practice on a demo account to master signal timing. With clear triangles and colors, MEO simplifies spotting trends or reversals for TradingView users!
Indicador Pine Script®
por TradingRobotAvailable
1
StarsAlignStarsAlign Indicator The StarsAlign indicator identifies potential buy opportunities by combining three key technical conditions for precise market entry signals. A "BUY" flag is plotted on the chart when: RSI is below 30, indicating oversold conditions. Price is at or below the 190-day Simple Moving Average, suggesting a potential support level. Average True Range (ATR) changes direction, signaling a shift in market volatility. Features: Customizable inputs for RSI length, oversold level, moving average period, and ATR length. Visual "BUY" labels for clear entry signals. Overlays the 190-day SMA for reference. Usage: Ideal for traders seeking confluence in oversold conditions, trend support, and volatility shifts. Apply to any timeframe or market, and adjust parameters to suit your strategy. Always combine with other analysis for best results.
Indicador Pine Script®
por WaterMiner
1
Math by Thomas - SMC Structure ToolkitMath by Thomas – SMC Structure Toolkit is a purely visual educational tool based on Smart Money Concepts. ✅ Order Blocks: Marked using confirmed fractal swing highs/lows, optional displacement candle, and high volume filter. ✅ Fair Value Gaps (FVGs): Detected using a 3-bar gap logic, based on price imbalance. ✅ Fractals: Configurable between 3 or 5-bar logic to detect swing highs/lows. ✅ BoS / CHoCH: Labels are drawn comparing previous swing structures. ✅ Premium / Discount Zones: Based on the midpoint of the last confirmed swing high/low. ❌ This script does not generate alerts, signals, or entries. ✅ Meant only for educational visual analysis, not for auto trading or financial advice.
Indicador Pine Script®
por MathThomas
KDJ``` **KDJ Indicator - Enhanced Stochastic Oscillator** The KDJ indicator is an advanced technical analysis tool that extends the traditional stochastic oscillator with an additional J line, providing enhanced momentum analysis for trading decisions. **What is KDJ?** KDJ consists of three lines: - **K Line (Blue)**: Fast stochastic line showing short-term momentum - **D Line (Orange)**: Smoothed version of K line, representing medium-term trend - **J Line (White)**: Divergence line calculated as (3×K - 2×D), showing momentum acceleration **Key Features:** - Fully customizable parameters for optimal strategy adaptation - Independent signal smoothing for K and D lines - Visual background coloring for quick trend identification - Standard overbought (80) and oversold (20) levels - Clean, professional chart presentation **Parameters:** - **Period**: Lookback period for highest/lowest calculations (default: 42) - **Signal K**: Smoothing factor for K line (default: 4) - **Signal D**: Smoothing factor for D line (default: 4) **Trading Signals:** - **Bullish**: J line crosses above D line (green background) - **Bearish**: J line crosses below D line (red background) - **Overbought**: Values above 80 level - **Oversold**: Values below 20 level **Best Use:** Ideal for identifying trend reversals, momentum shifts, and entry/exit points across all timeframes and markets. The J line provides early signals compared to traditional stochastic indicators. Perfect for swing trading, scalping, and trend following strategies. ```
Indicador Pine Script®
por K0V4L
RSI Combo: Buy + Sell + COMBOONLY FOR CRYPTO ASSETS! This script generates RSI-based Buy and Sell signals for the current asset, with optional confirmation from the USDT Dominance index (USDT.D). 🔍 Logic Overview: A Buy signal is triggered when: RSI is below a defined threshold (default: 21) Price is below the EMA (default: 100) A Sell signal is triggered when: RSI is above a defined threshold (default: 80) Price is above the EMA 🔁 Combo Signals: If a signal on the main asset is confirmed by an opposite signal on USDT.D (inverse logic), the script replaces the standard signal with a "combo" version: combo buy = Buy signal on asset + Sell signal on USDT.D combo sell = Sell signal on asset + Buy signal on USDT.D This confirms a risk-off to risk-on (or vice versa) shift in the market. ✅ Features: Works on any timeframe and any ticker Inputs for custom RSI/EMA parameters Alerts for all signal types: Regular buy / sell Enhanced combo buy / combo sell Designed for overlay on the chart USDT.D ticker can be customized
Indicador Pine Script®
por namelessone1998
CandelaCharts - 1st Presented FVG 📝 Overview The ICT 1st Presented Fair Value Gap refers to the first FVG that forms after the market opens at 9:30 AM New York local time. In a sideways market, it often acts as a catalyst for price movement in either direction, while in trending conditions, it tends to support and reinforce the prevailing trend. This indicator automatically identifies the first Fair Value Gap (FVG) that forms after the New York session opens at 9:30 AM local time. Based on concepts taught by Inner Circle Trader (ICT), the 1st Presented FVG is a key institutional price imbalance that often sets the tone for the trading day. 📦 Features Customize FVG session time (e.g. 09:30 – 10:00) Show/hide session dividers FVG visibility filter (e.g. Bullish / Bearish) Advanced styling Hide overlapping FVGs Extend FVGs Opening prices ⚙️ Settings Show: Controls whether all, bullish only, or bearish only FVGs are displayed on the chart. Session: Sets a specific time window (e.g. 09:30–10:00) to filter which FVGs are displayed. Dividers: Toggles vertical session divider on the chart for visual separation. Midline: Displays a midpoint (CE) line through the FVG; customizable color and thickness. Border: Adds a border around each FVG zone. Labels: Toggles label display for FVGs. Hide Overlap: Hides overlapping FVGs to reduce visual clutter. Extend: Extends each FVG forward in time. Alerts: Enables alerts when price interacts with an FVG zone. Opening Prices: Allows defining custom time-based levels (e.g. 00:00–00:01 and 18:00–18:01) with color and style options. ⚡️ Showcase Simple Labels Bordered Consequent Encroachment Extended Dividers 📒 Usage How to Use the ICT 1st Presented Fair Value Gap in Trading To apply the ICT 1st Presented Fair Value Gap (FVG), identify the first fair value gap of the day and extend it across the chart until 3:45 PM New York time. You’ll often notice that some of the best trade setups form around this level. It tends to act as a key reference point for price action during the day—especially on trending days, where price frequently returns to this gap before continuing in its direction. This level can also serve as an inverse fair value gap, offering opportunities in the opposite direction under the right conditions. How to Disqualify the 1st Presented Fair Value Gap? When the first fair value gap forms after 9:30 AM New York time, check the candles that came just before it. If the candlestick that creates the FVG doesn’t break above or below the range of those previous candles, then it’s not a true inefficiency. In that case, it’s considered a disqualified 1st Presented Fair Value Gap—meaning it shouldn’t be used as a key reference level. Refer to the example below to see what this looks like on the chart. 🚨 Alerts This script provides alert options for all signals. Bearish Signal A bearish signal is triggered when the bearish 1st P.FVG is formed in interval 09:30 - 10:00. Bullish Signal A bullish signal is triggered when the bullish 1st P.FVG is formed in interval 09:30 - 10:00. ⚠️ Disclaimer Trading involves significant risk, and many participants may incur losses. The content on this site is not intended as financial advice and should not be interpreted as such. Decisions to buy, sell, hold, or trade securities, commodities, or other financial instruments carry inherent risks and are best made with guidance from qualified financial professionals. Past performance is not indicative of future results.
Indicador Pine Script®
por CandelaCharts