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Indicadores e estratégias

Supply & Demand Zones - [RealFact]Supply & Demand Zones - This indicator automatically detects potential Supply and Demand Zones based on price action characteristics such as imbalance, engulfing patterns, and structural shifts. It’s designed to help traders identify key areas of interest where price is likely to react. 🔍 Features: • Auto-detection of Demand (support) and Supply (resistance) zones • Adjustable zone length • Color-coded: Green for Demand zones, Red for Supply zones 🧠 Ideal For: • Price Action Traders • Order Block and Smart Money Strategy Users • Those trading using FVG or structural break models ⚠️ Note: This tool is intended for visual aid and market context analysis, not as a direct buy/sell signal. Always use it alongside your trading system and risk management plan. ✅ Created by
Indicador Pine Script®
por pengprakhon
1
Enhanced MFI Divergence with Pivot SignalsEnhanced MFI Divergence with Pivot Signals This custom Pine Script indicator identifies bullish and bearish divergences between price action and the Money Flow Index (MFI), enhancing the trader's ability to spot potential reversal zones with visual clarity and optional confirmation filters. 📊 Key Features: 🔹 MFI Divergence Detection The script detects: Bullish divergence when price forms a lower low but MFI forms a higher low. Bearish divergence when price forms a higher high but MFI forms a lower high. 🔹 Pivot-Based Logic To ensure high-confidence signals, the script uses pivot point logic to mark local highs and lows on both price and MFI. This avoids noise and focuses only on meaningful swing points. 🔹 Optional Confirmation Filter You can enable a filter that checks if MFI is above 50 during bullish divergence (implying buying pressure) and below 50 for bearish divergence (implying selling pressure), adding an extra layer of confirmation. 🔹 Signal Markers Signals are visually displayed on the chart using colored triangles: Green triangle up for bullish divergence Red triangle down for bearish divergence 🔹 Background Color Shading The background is optionally shaded green or red based on MFI’s relationship to its smoothed WMA, helping you visually interpret trend bias. 🔹 Pivot Point Debugging Tools Circles and crosses mark pivot points on price and MFI for debugging and visual clarity. 🔹 Alerts Ready Real-time alerts notify you instantly when a bullish or bearish MFI divergence occurs, allowing for quick decision-making. ⚙️ How It Helps This indicator is designed to help traders: Anticipate price reversals by identifying hidden strength or weakness in momentum, Avoid false breakouts, Confirm entries or exits based on volume-weighted momentum divergence. It works especially well when used alongside trend-following tools like moving averages, support/resistance zones, or additional volume indicators.
Indicador Pine Script®
por raghavprakash05
Golden Key: Opening Channel DashboardGolden Key: Opening Channel Dashboard Complementary to the original Golden Key – The Frequency Upgrade of 10 Monday's 1H Avg Range + 30-Day Daily Range This indicator provides a structured dashboard to monitor the opening channel range and related metrics on 15m and 5m charts. Built to work alongside the Golden Key methodology, it focuses on pip precision, average volatility, and SL sizing. What It Does Detects first 4 candles of the session: 15m chart → first 4 Monday candles (1 hour) 5m chart → first 4 candles of each day (20 minutes) Calculates pip range of the opening move Stores and averages the last 10 such ranges Calculates daily range average over 10 or 30 days Generates SL size based on your multiplier setting Auto-adjusts for FX, JPY, and XAUUSD pip sizes Displays all values in a clean table in the top-right How to Use It Add to a 15m or 5m chart Compare the current opening range to the average Use the daily average to assess broader volatility Define SL size using the opening range x multiplier Customize display colors per table row About This Script This is not a visual box-style indicator. It is designed to complement the original “Golden Key – The Frequency” by focusing on metric output. It is also an upgraded version of the earlier "10 Monday’s 1H Avg Range" script, now supporting multi-timeframe logic and additional customization. Disclaimer This is a technical analysis tool. It does not provide trading advice. Use it in combination with your own research and strategy.
Indicador Pine Script®
por bramirez37
VWAP Supply & Demand Zones PRO**Overview:** This script represents a major evolution of the original "VWAP Supply and Demand Zones" indicator. Initially created to explore price interaction with VWAP, it has now matured into a robust and feature-rich tool for identifying high-probability zones of institutional buying and selling pressure. The update introduces volume and momentum validation, dynamic zone management, alert logic, and a visual dashboard (HUD) — all designed for improved precision and clarity. The structural improvements, anti-repainting logic, and significant added utility warranted releasing this as a new script rather than a minor update. --- ### What It Does: This indicator dynamically detects **supply and demand zones** using VWAP-based logic combined with **volume** and **momentum confirmation**. When price crosses VWAP with strength, it identifies the potential zone of excess demand (below VWAP) or supply (above VWAP), marking it visually with colored regions on the chart. Each zone is extended for a user-defined duration, monitored for touch interactions (tests), and tracked for possible breaks. The script helps traders interpret price behavior around these institutional zones as either **reversal** opportunities or **continuation** confirmation depending on context and strategy preference. --- ### How It Works: * **VWAP Basis**: Zones are anchored at VWAP at the time of a significant cross. * **Volume & Momentum Filters**: Crosses are only considered valid if backed by above-average volume and notable price momentum. * **Zone Drawing**: Validated supply and demand zones are drawn as boxes on the chart. Each is extended forward for a customizable number of bars. * **Touch Counting**: Zones track the number of price touches. Alerts are issued after a user-defined number of tests. * **Break Detection**: If price closes significantly beyond a zone boundary, the zone is marked as broken and visually dimmed. * **Visual Dashboard (HUD)**: A compact real-time HUD displays VWAP value, active zone counts, and current market bias. --- ### How to Use It: **Reversal Trading:** * Look for price **rejecting** a zone after touching it. * Use rejection candles or secondary indicators (e.g., RSI divergence) to confirm. * These setups may offer low-risk entries when price respects the zone. **Continuation Trading:** * A **break of a zone** suggests strong directional bias. * Use confirmed zone breaks to enter in the direction of momentum. * Ideal in trending environments, especially with high volume and ATR movement. --- ### Key Inputs: * **VWAP Length**: Moving VWAP period (default: 20) * **Zone Width %**: Percentage size of zone buffer (default: 0.5%) * **Min Touches**: How many times price must test a zone before alerts trigger * **Zone Extension**: How far into the future zones are projected * **Volume & ATR Filters**: Ensure only strong, valid crossovers create zones --- ### Alerts: You can enable alerts for: * **New zone creation** * **Zone tests (after minimum touch count)** * **Zone breaks** * **VWAP crosses** * **Active presence inside a zone (entry conditions)** These alerts help automate market monitoring, making it suitable for discretionary or systematic workflows. --- ### Why It's a New Script: This is not a cosmetic update. The internal logic, signal generation, filtering methodology, visual engine, and UX framework have been entirely rebuilt from the ground up. The result is a highly adaptive, precision-oriented tool — appropriate for intraday scalpers and swing traders alike. It goes far beyond the original in terms of functionality and reliability, justifying a fresh release. --- ### Suitable Markets and Timeframes: * Works across all liquid markets (crypto, equities, futures, forex) * Best used on timeframes where volume data is stable (5m and above recommended) * Recalibrate inputs for optimal detection across instruments
Indicador Pine Script®
por Finntech1
3
HTF 3rd Weekly High/LowThis indicator plots horizontal lines for the high and low of a selected past weekly candle, allowing traders to visualize higher time frame (HTF) structure on lower time frame charts (e.g., 1H, 4H, etc.). Features: Custom Weekly Range Selection: Use the dropdown to choose which weekly candle to reference — from the current week (0) to up to five weeks back. Clean Horizontal Lines: High and low levels of the selected week are drawn as persistent horizontal lines. Automatic Text Labels: Labels like Week-3H and Week-3L are shown on the right side of the chart, matching the week selected. Customization: Line colors Line width and style (solid, dotted, dashed) Text label offset Automatic Refresh: Levels and labels are redrawn at the start of each new week to stay current with your selection.
Indicador Pine Script®
por ryannb123
ML Super Divergence + ADX ConfirmationThe "ML Super Divergence + ADX Confirmation" indicator is a powerful tool designed for technical traders who want to combine machine learning-inspired divergence signals with the ADX (Average Directional Index) trend strength indicator for more reliable trade signals. This script is written in Pine Script v6 and is suitable for use on TradingView charts. It visually highlights potential buy and sell opportunities and also generates alerts when conditions are met. 📈 Core Components: 1. ADX System (Average Directional Index): Measures trend strength, not direction. Calculated using a 14-period (user-configurable) setting. DI+ (Positive Directional Index) and DI− (Negative Directional Index) are used to gauge bullish and bearish pressure. Signals are only valid when ADX > threshold (e.g., 20), ensuring that the trend is strong enough to act upon. 2. Simulated ML Super Divergence Signal: This is a placeholder for actual ML-based divergence detection. For demonstration, it simulates: Bullish divergence: when RSI crosses above 30 and OBV (On-Balance Volume) is rising. Bearish divergence: when RSI crosses below 70 and OBV is falling. This approximation helps visualize how real ML divergence signals could be integrated. ✅ Buy Signal Conditions: A buy signal is plotted when: A bullish divergence is detected. DI+ is greater than DI− (i.e., bullish directional strength). ADX is above the minimum threshold (confirming a strong trend). 📍 Visual cue: Green upward triangle below the price bar. 🔔 Alert Triggered: "Buy Signal: ML Super Divergence + DI+ + ADX Confirmation" ❌ Sell Signal Conditions: A sell signal is plotted when: A bearish divergence is detected. DI− is greater than DI+ (i.e., bearish directional strength). ADX is above the threshold. 📍 Visual cue: Red dot above the price bar. 🔔 Alert Triggered: "Sell Signal: ML Super Divergence + DI- + ADX Confirmation"
Indicador Pine Script®
por raghavprakash05
Market Zone Analyzer[BullByte]Understanding the Market Zone Analyzer --- 1. Purpose of the Indicator The Market Zone Analyzer is a Pine Script™ (version 6) indicator designed to streamline market analysis on TradingView. Rather than scanning multiple separate tools, it unifies four core dimensions—trend strength, momentum, price action, and market activity—into a single, consolidated view. By doing so, it helps traders: • Save time by avoiding manual cross-referencing of disparate signals. • Reduce decision-making errors that can arise from juggling multiple indicators. • Gain a clear, reliable read on whether the market is in a bullish, bearish, or sideways phase, so they can more confidently decide to enter, exit, or hold a position. --- 2. Why a Trader Should Use It • Unified View: Combines all essential market dimensions into one easy-to-read score and dashboard, eliminating the need to piece together signals manually. • Adaptability: Automatically adjusts its internal weighting for trend, momentum, and price action based on current volatility. Whether markets are choppy or calm, the indicator remains relevant. • Ease of Interpretation: Outputs a simple “BULLISH,” “BEARISH,” or “SIDEWAYS” label, supplemented by an intuitive on-chart dashboard and an oscillator plot that visually highlights market direction. • Reliability Features: Built-in smoothing of the net score and hysteresis logic (requiring consecutive confirmations before flips) minimize false signals during noisy or range-bound phases. --- 3. Why These Specific Indicators? This script relies on a curated set of well-established technical tools, each chosen for its particular strength in measuring one of the four core dimensions: 1. Trend Strength: • ADX/DMI (Average Directional Index / Directional Movement Index): Measures how strong a trend is, and whether the +DI line is above the –DI line (bullish) or vice versa (bearish). • Moving Average Slope (Fast MA vs. Slow MA): Compares a shorter-period SMA to a longer-period SMA; if the fast MA sits above the slow MA, it confirms an uptrend, and vice versa for a downtrend. • Ichimoku Cloud Differential (Senkou A vs. Senkou B): Provides a forward-looking view of trend direction; Senkou A above Senkou B signals bullishness, and the opposite signals bearishness. 2. Momentum: • Relative Strength Index (RSI): Identifies overbought (above its dynamically calculated upper bound) or oversold (below its lower bound) conditions; changes in RSI often precede price reversals. • Stochastic %K: Highlights shifts in short-term momentum by comparing closing price to the recent high/low range; values above its upper band signal bullish momentum, below its lower band signal bearish momentum. • MACD Histogram: Measures the difference between the MACD line and its signal line; a positive histogram indicates upward momentum, a negative histogram indicates downward momentum. 3. Price Action: • Highest High / Lowest Low (HH/LL) Range: Over a defined lookback period, this captures breakout or breakdown levels. A closing price near the recent highs (with a positive MA slope) yields a bullish score, and near the lows (with a negative MA slope) yields a bearish score. • Heikin-Ashi Doji Detection: Uses Heikin-Ashi candles to identify indecision or continuation patterns. A small Heikin-Ashi body (doji) relative to recent volatility is scored as neutral; a larger body in the direction of the MA slope is scored bullish or bearish. • Candle Range Measurement: Compares each candle’s high-low range against its own dynamic band (average range ± standard deviation). Large candles aligning with the prevailing trend score bullish or bearish accordingly; unusually small candles can indicate exhaustion or consolidation. 4. Market Activity: • Bollinger Bands Width (BBW): Measures the distance between BB upper and lower bands; wide bands indicate high volatility, narrow bands indicate low volatility. • Average True Range (ATR): Quantifies average price movement (volatility). A sudden spike in ATR suggests a volatile environment, while a contraction suggests calm. • Keltner Channels Width (KCW): Similar to BBW but uses ATR around an EMA. Provides a second layer of volatility context, confirming or contrasting BBW readings. • Volume (with Moving Average): Compares current volume to its moving average ± standard deviation. High volume validates strong moves; low volume signals potential lack of conviction. By combining these tools, the indicator captures trend direction, momentum strength, price-action nuances, and overall market energy, yielding a more balanced and comprehensive assessment than any single tool alone. --- 4. What Makes This Indicator Stand Out • Multi-Dimensional Analysis: Rather than relying on a lone oscillator or moving average crossover, it simultaneously evaluates trend, momentum, price action, and activity. • Dynamic Weighting: The relative importance of trend, momentum, and price action adjusts automatically based on real-time volatility (Market Activity State). For example, in highly volatile conditions, trend and momentum signals carry more weight; in calm markets, price action signals are prioritized. • Stability Mechanisms: • Smoothing: The net score is passed through a short moving average, filtering out noise, especially on lower timeframes. • Hysteresis: Both Market Activity State and the final bullish/bearish/sideways zone require two consecutive confirmations before flipping, reducing whipsaw. • Visual Interpretation: A fully customizable on-chart dashboard displays each sub-indicator’s value, regime, score, and comment, all color-coded. The oscillator plot changes color to reflect the current market zone (green for bullish, red for bearish, gray for sideways) and shows horizontal threshold lines at +2, 0, and –2. --- 5. Recommended Timeframes • Short-Term (5 min, 15 min): Day traders and scalpers can benefit from rapid signals, but should enable smoothing (and possibly disable hysteresis) to reduce false whipsaws. • Medium-Term (1 h, 4 h): Swing traders find a balance between responsiveness and reliability. Less smoothing is required here, and the default parameters (e.g., ADX length = 14, RSI length = 14) perform well. • Long-Term (Daily, Weekly): Position traders tracking major trends can disable smoothing for immediate raw readings, since higher-timeframe noise is minimal. Adjust lookback lengths (e.g., increase adxLength, rsiLength) if desired for slower signals. Tip: If you keep smoothing off, stick to timeframes of 1 h or higher to avoid excessive signal “chatter.” --- 6. How Scoring Works A. Individual Indicator Scores Each sub-indicator is assigned one of three discrete scores: • +1 if it indicates a bullish condition (e.g., RSI above its dynamically calculated upper bound). • 0 if it is neutral (e.g., RSI between upper and lower bounds). • –1 if it indicates a bearish condition (e.g., RSI below its dynamically calculated lower bound). Examples of individual score assignments: • ADX/DMI: • +1 if ADX ≥ adxThreshold and +DI > –DI (strong bullish trend) • –1 if ADX ≥ adxThreshold and –DI > +DI (strong bearish trend) • 0 if ADX < adxThreshold (trend strength below threshold) • RSI: • +1 if RSI > RSI_upperBound • –1 if RSI < RSI_lowerBound • 0 otherwise • ATR (as part of Market Activity): • +1 if ATR > (ATR_MA + stdev(ATR)) • –1 if ATR < (ATR_MA – stdev(ATR)) • 0 otherwise Each of the four main categories shares this same +1/0/–1 logic across their sub-components. B. Category Scores Once each sub-indicator reports +1, 0, or –1, these are summed within their categories as follows: • Trend Score = (ADX score) + (MA slope score) + (Ichimoku differential score) • Momentum Score = (RSI score) + (Stochastic %K score) + (MACD histogram score) • Price Action Score = (Highest-High/Lowest-Low score) + (Heikin-Ashi doji score) + (Candle range score) • Market Activity Raw Score = (BBW score) + (ATR score) + (KC width score) + (Volume score) Each category’s summed value can range between –3 and +3 (for Trend, Momentum, and Price Action), and between –4 and +4 for Market Activity raw. C. Market Activity State and Dynamic Weight Adjustments Rather than contributing directly to the netScore like the other three categories, Market Activity determines how much weight to assign to Trend, Momentum, and Price Action: 1. Compute Market Activity Raw Score by summing BBW, ATR, KCW, and Volume individual scores (each +1/0/–1). 2. Bucket into High, Medium, or Low Activity: • High if raw Score ≥ 2 (volatile market). • Low if raw Score ≤ –2 (calm market). • Medium otherwise. 3. Apply Hysteresis (if enabled): The state only flips after two consecutive bars register the same high/low/medium label. 4. Set Category Weights: • High Activity: Trend = 50 %, Momentum = 35 %, Price Action = 15 %. • Low Activity: Trend = 25 %, Momentum = 20 %, Price Action = 55 %. • Medium Activity: Use the trader’s base weight inputs (e.g., Trend = 40 %, Momentum = 30 %, Price Action = 30 % by default). D. Calculating the Net Score 5. Normalize Base Weights (so that the sum of Trend + Momentum + Price Action always equals 100 %). 6. Determine Current Weights based on the Market Activity State (High/Medium/Low). 7. Compute Each Category’s Contribution: Multiply (categoryScore) × (currentWeight). 8. Sum Contributions to get the raw netScore (a floating-point value that can exceed ±3 when scores are strong). 9. Smooth the netScore over two bars (if smoothing is enabled) to reduce noise. 10. Apply Hysteresis to the Final Zone: • If the smoothed netScore ≥ +2, the bar is classified as “Bullish.” • If the smoothed netScore ≤ –2, the bar is classified as “Bearish.” • Otherwise, it is “Sideways.” • To prevent rapid flips, the script requires two consecutive bars in the new zone before officially changing the displayed zone (if hysteresis is on). E. Thresholds for Zone Classification • BULLISH: netScore ≥ +2 • BEARISH: netScore ≤ –2 • SIDEWAYS: –2 < netScore < +2 --- 7. Role of Volatility (Market Activity State) in Scoring Volatility acts as a dynamic switch that shifts which category carries the most influence: 1. High Activity (Volatile): • Detected when at least two sub-scores out of BBW, ATR, KCW, and Volume equal +1. • The script sets Trend weight = 50 % and Momentum weight = 35 %. Price Action weight is minimized at 15 %. • Rationale: In volatile markets, strong trending moves and momentum surges dominate, so those signals are more reliable than nuanced candle patterns. 2. Low Activity (Calm): • Detected when at least two sub-scores out of BBW, ATR, KCW, and Volume equal –1. • The script sets Price Action weight = 55 %, Trend = 25 %, and Momentum = 20 %. • Rationale: In quiet, sideways markets, subtle price-action signals (breakouts, doji patterns, small-range candles) are often the best early indicators of a new move. 3. Medium Activity (Balanced): • Raw Score between –1 and +1 from the four volatility metrics. • Uses whatever base weights the trader has specified (e.g., Trend = 40 %, Momentum = 30 %, Price Action = 30 %). Because volatility can fluctuate rapidly, the script employs hysteresis on Market Activity State: a new High or Low state must occur on two consecutive bars before weights actually shift. This avoids constant back-and-forth weight changes and provides more stability. --- 8. Scoring Example (Hypothetical Scenario) • Symbol: Bitcoin on a 1-hour chart. • Market Activity: Raw volatility sub-scores show BBW (+1), ATR (+1), KCW (0), Volume (+1) → Total raw Score = +3 → High Activity. • Weights Selected: Trend = 50 %, Momentum = 35 %, Price Action = 15 %. • Trend Signals: • ADX strong and +DI > –DI → +1 • Fast MA above Slow MA → +1 • Ichimoku Senkou A > Senkou B → +1 → Trend Score = +3 • Momentum Signals: • RSI above upper bound → +1 • MACD histogram positive → +1 • Stochastic %K within neutral zone → 0 → Momentum Score = +2 • Price Action Signals: • Highest High/Lowest Low check yields 0 (close not near extremes) • Heikin-Ashi doji reading is neutral → 0 • Candle range slightly above upper bound but trend is strong, so → +1 → Price Action Score = +1 • Compute Net Score (before smoothing): • Trend contribution = 3 × 0.50 = 1.50 • Momentum contribution = 2 × 0.35 = 0.70 • Price Action contribution = 1 × 0.15 = 0.15 • Raw netScore = 1.50 + 0.70 + 0.15 = 2.35 • Since 2.35 ≥ +2 and hysteresis is met, the final zone is “Bullish.” Although the netScore lands at 2.35 (Bullish), smoothing might bring it slightly below 2.00 on the first bar (e.g., 1.90), in which case the script would wait for a second consecutive reading above +2 before officially classifying the zone as Bullish (if hysteresis is enabled). --- 9. Correlation Between Categories The four categories—Trend Strength, Momentum, Price Action, and Market Activity—often reinforce or offset one another. The script takes advantage of these natural correlations: • Bullish Alignment: If ADX is strong and pointed upward, fast MA is above slow MA, and Ichimoku is positive, that usually coincides with RSI climbing above its upper bound and the MACD histogram turning positive. In such cases, both Trend and Momentum categories generate +1 or +2. Because the Market Activity State is likely High (given the accompanying volatility), Trend and Momentum weights are at their peak, so the netScore quickly crosses into Bullish territory. • Sideways/Consolidation: During a low-volatility, sideways phase, ADX may fall below its threshold, MAs may flatten, and RSI might hover in the neutral band. However, subtle price-action signals (like a small breakout candle or a Heikin-Ashi candle with a slight bias) can still produce a +1 in the Price Action category. If Market Activity is Low, Price Action’s weight (55 %) can carry enough influence—even if Trend and Momentum are neutral—to push the netScore out of “Sideways” into a mild bullish or bearish bias. • Opposing Signals: When Trend is bullish but Momentum turns negative (for example, price continues up but RSI rolls over), the two scores can partially cancel. Market Activity may remain Medium, in which case the netScore lingers near zero (Sideways). The trader can then wait for either a clearer momentum shift or a fresh price-action breakout before committing. By dynamically recognizing these correlations and adjusting weights, the indicator ensures that: • When Trend and Momentum align (and volatility supports it), the netScore leaps strongly into Bullish or Bearish. • When Trend is neutral but Price Action shows an early move in a low-volatility environment, Price Action’s extra weight in the Low Activity State can still produce actionable signals. --- 10. Market Activity State & Its Role (Detailed) The Market Activity State is not a direct category score—it is an overarching context setter for how heavily to trust Trend, Momentum, or Price Action. Here’s how it is derived and applied: 1. Calculate Four Volatility Sub-Scores: • BBW: Compare the current band width to its own moving average ± standard deviation. If BBW > (BBW_MA + stdev), assign +1 (high volatility); if BBW < (BBW_MA × 0.5), assign –1 (low volatility); else 0. • ATR: Compare ATR to its moving average ± standard deviation. A spike above the upper threshold is +1; a contraction below the lower threshold is –1; otherwise 0. • KCW: Same logic as ATR but around the KCW mean. • Volume: Compare current volume to its volume MA ± standard deviation. Above the upper threshold is +1; below the lower threshold is –1; else 0. 2. Sum Sub-Scores → Raw Market Activity Score: Range between –4 and +4. 3. Assign Market Activity State: • High Activity: Raw Score ≥ +2 (at least two volatility metrics are strongly spiking). • Low Activity: Raw Score ≤ –2 (at least two metrics signal unusually low volatility or thin volume). • Medium Activity: Raw Score is between –1 and +1 inclusive. 4. Hysteresis for Stability: • If hysteresis is enabled, a new state only takes hold after two consecutive bars confirm the same High, Medium, or Low label. • This prevents the Market Activity State from bouncing around when volatility is on the fence. 5. Set Category Weights Based on Activity State: • High Activity: Trend = 50 %, Momentum = 35 %, Price Action = 15 %. • Low Activity: Trend = 25 %, Momentum = 20 %, Price Action = 55 %. • Medium Activity: Use trader’s base weights (e.g., Trend = 40 %, Momentum = 30 %, Price Action = 30 %). 6. Impact on netScore: Because category scores (–3 to +3) multiply by these weights, High Activity amplifies the effect of strong Trend and Momentum scores; Low Activity amplifies the effect of Price Action. 7. Market Context Tooltip: The dashboard includes a tooltip summarizing the current state—e.g., “High activity, trend and momentum prioritized,” “Low activity, price action prioritized,” or “Balanced market, all categories considered.” --- 11. Category Weights: Base vs. Dynamic Traders begin by specifying base weights for Trend Strength, Momentum, and Price Action that sum to 100 %. These apply only when volatility is in the Medium band. Once volatility shifts: • High Volatility Overrides: • Trend jumps from its base (e.g., 40 %) to 50 %. • Momentum jumps from its base (e.g., 30 %) to 35 %. • Price Action is reduced to 15 %. Example: If base weights were Trend = 40 %, Momentum = 30 %, Price Action = 30 %, then in High Activity they become 50/35/15. A Trend score of +3 now contributes 3 × 0.50 = +1.50 to netScore; a Momentum +2 contributes 2 × 0.35 = +0.70. In total, Trend + Momentum can easily push netScore above the +2 threshold on its own. • Low Volatility Overrides: • Price Action leaps from its base (30 %) to 55 %. • Trend falls to 25 %, Momentum falls to 20 %. Why? When markets are quiet, subtle candle breakouts, doji patterns, and small-range expansions tend to foreshadow the next swing more effectively than raw trend readings. A Price Action score of +3 in this state contributes 3 × 0.55 = +1.65, which can carry the netScore toward +2—even if Trend and Momentum are neutral or only mildly positive. Because these weight shifts happen only after two consecutive bars confirm a High or Low state (if hysteresis is on), the indicator avoids constantly flipping its emphasis during borderline volatility phases. --- 12. Dominant Category Explained Within the dashboard, a label such as “Trend Dominant,” “Momentum Dominant,” or “Price Action Dominant” appears when one category’s absolute weighted contribution to netScore is the largest. Concretely: • Compute each category’s weighted contribution = (raw category score) × (current weight). • Compare the absolute values of those three contributions. • The category with the highest absolute value is flagged as Dominant for that bar. Why It Matters: • Momentum Dominant: Indicates that the combined force of RSI, Stochastic, and MACD (after weighting) is pushing netScore farther than either Trend or Price Action. In practice, it means that short-term sentiment and speed of change are the primary drivers right now, so traders should watch for continued momentum signals before committing to a trade. • Trend Dominant: Means ADX, MA slope, and Ichimoku (once weighted) outweigh the other categories. This suggests a strong directional move is in place; trend-following entries or confirming pullbacks are likely to succeed. • Price Action Dominant: Occurs when breakout/breakdown patterns, Heikin-Ashi candle readings, and range expansions (after weighting) are the most influential. This often happens in calmer markets, where subtle shifts in candle structure can foreshadow bigger moves. By explicitly calling out which category is carrying the most weight at any moment, the dashboard gives traders immediate insight into why the netScore is tilting toward bullish, bearish, or sideways. --- 13. Oscillator Plot: How to Read It The “Net Score” oscillator sits below the dashboard and visually displays the smoothed netScore as a line graph. Key features: 1. Value Range: In normal conditions it oscillates roughly between –3 and +3, but extreme confluences can push it outside that range. 2. Horizontal Threshold Lines: • +2 Line (Bullish threshold) • 0 Line (Neutral midline) • –2 Line (Bearish threshold) 3. Zone Coloring: • Green Background (Bullish Zone): When netScore ≥ +2. • Red Background (Bearish Zone): When netScore ≤ –2. • Gray Background (Sideways Zone): When –2 < netScore < +2. 4. Dynamic Line Color: • The plotted netScore line itself is colored green in a Bullish Zone, red in a Bearish Zone, or gray in a Sideways Zone, creating an immediate visual cue. Interpretation Tips: • Crossing Above +2: Signals a strong enough combined trend/momentum/price-action reading to classify as Bullish. Many traders wait for a clear crossing plus a confirmation candle before entering a long position. • Crossing Below –2: Indicates a strong Bearish signal. Traders may consider short or exit strategies. • Rising Slope, Even Below +2: If netScore climbs steadily from neutral toward +2, it demonstrates building bullish momentum. • Divergence: If price makes a higher high but the oscillator fails to reach a new high, it can warn of weakening momentum and a potential reversal. --- 14. Comments and Their Necessity Every sub-indicator (ADX, MA slope, Ichimoku, RSI, Stochastic, MACD, HH/LL, Heikin-Ashi, Candle Range, BBW, ATR, KCW, Volume) generates a short comment that appears in the detailed dashboard. Examples: • “Strong bullish trend” or “Strong bearish trend” for ADX/DMI • “Fast MA above slow MA” or “Fast MA below slow MA” for MA slope • “RSI above dynamic threshold” or “RSI below dynamic threshold” for RSI • “MACD histogram positive” or “MACD histogram negative” for MACD Hist • “Price near highs” or “Price near lows” for HH/LL checks • “Bullish Heikin Ashi” or “Bearish Heikin Ashi” for HA Doji scoring • “Large range, trend confirmed” or “Small range, trend contradicted” for Candle Range Additionally, the top-row comment for each category is: • Trend: “Highly Bullish,” “Highly Bearish,” or “Neutral Trend.” • Momentum: “Strong Momentum,” “Weak Momentum,” or “Neutral Momentum.” • Price Action: “Bullish Action,” “Bearish Action,” or “Neutral Action.” • Market Activity: “Volatile Market,” “Calm Market,” or “Stable Market.” Reasons for These Comments: • Transparency: Shows exactly how each sub-indicator contributed to its category score. • Education: Helps traders learn why a category is labeled bullish, bearish, or neutral, building intuition over time. • Customization: If, for example, the RSI comment says “RSI neutral” despite an impending trend shift, a trader might choose to adjust RSI length or thresholds. In the detailed dashboard, hovering over each comment cell also reveals a tooltip with additional context (e.g., “Fast MA above slow MA” or “Senkou A above Senkou B”), helping traders understand the precise rule behind that +1, 0, or –1 assignment. --- 15. Real-Life Example (Consolidated) • Instrument & Timeframe: Bitcoin (BTCUSD), 1-hour chart. • Current Market Activity: BBW and ATR both spike (+1 each), KCW is moderately high (+1), but volume is only neutral (0) → Raw Market Activity Score = +2 → State = High Activity (after two bars, if hysteresis is on). • Category Weights Applied: Trend = 50 %, Momentum = 35 %, Price Action = 15 %. • Trend Sub-Scores: 1. ADX = 25 (above threshold 20) with +DI > –DI → +1. 2. Fast MA (20-period) sits above Slow MA (50-period) → +1. 3. Ichimoku: Senkou A > Senkou B → +1. → Trend Score = +3. • Momentum Sub-Scores: 4. RSI = 75 (above its moving average +1 stdev) → +1. 5. MACD histogram = +0.15 → +1. 6. Stochastic %K = 50 (mid-range) → 0. → Momentum Score = +2. • Price Action Sub-Scores: 7. Price is not within 1 % of the 20-period high/low and slope = positive → 0. 8. Heikin-Ashi body is slightly larger than stdev over last 5 bars with haClose > haOpen → +1. 9. Candle range is just above its dynamic upper bound but trend is already captured, so → +1. → Price Action Score = +2. • Calculate netScore (before smoothing): • Trend contribution = 3 × 0.50 = 1.50 • Momentum contribution = 2 × 0.35 = 0.70 • Price Action contribution = 2 × 0.15 = 0.30 • Raw netScore = 1.50 + 0.70 + 0.30 = 2.50 → Immediately classified as Bullish. • Oscillator & Dashboard Output: • The oscillator line crosses above +2 and turns green. • Dashboard displays: • Trend Regime “BULLISH,” Trend Score = 3, Comment = “Highly Bullish.” • Momentum Regime “BULLISH,” Momentum Score = 2, Comment = “Strong Momentum.” • Price Action Regime “BULLISH,” Price Action Score = 2, Comment = “Bullish Action.” • Market Activity State “High,” Comment = “Volatile Market.” • Weights: Trend 50 %, Momentum 35 %, Price Action 15 %. • Dominant Category: Trend (because 1.50 > 0.70 > 0.30). • Overall Score: 2.50, posCount = (three +1s in Trend) + (two +1s in Momentum) + (two +1s in Price Action) = 7 bullish signals, negCount = 0. • Final Zone = “BULLISH.” • The trader sees that both Trend and Momentum are reinforcing each other under high volatility. They might wait one more candle for confirmation but already have strong evidence to consider a long. --- • . --- Disclaimer This indicator is strictly a technical analysis tool and does not constitute financial advice. All trading involves risk, including potential loss of capital. Past performance is not indicative of future results. Traders should: • Always backtest the “Market Zone Analyzer ” on their chosen symbols and timeframes before committing real capital. • Combine this tool with sound risk management, position sizing, and, if possible, fundamental analysis. • Understand that no indicator is foolproof; always be prepared for unexpected market moves. Goodluck -BullByte! ---
Indicador Pine Script®
por BullByte
2
Cheat Setup//@version=5 indicator("Cheat Setup", overlay=true) // === User inputs === adr_period = input.int(20, title="ADR Window (days)") lookback = input.int(100, title="Historical Lookback (bars)") sensitivity = input.float(1.5, minval=0.5, step=0.1, title="Sensitivity (Multiplier of Avg ADR%)") show_threshold_lines = input.bool(true, title="Show ADR% / Threshold Lines") // === ADR% Calculation === // ADR% = (20-day high - 20-day low) / 20-day low × 100 adr_percent = (ta.highest(high, adr_period) - ta.lowest(low, adr_period)) / ta.lowest(low, adr_period) * 100 // Average ADR% over lookback period avg_adr_percent = ta.sma(adr_percent, lookback) // Adaptive threshold adaptive_threshold = avg_adr_percent * sensitivity // Detection condition cheat_setup_signal = adr_percent > adaptive_threshold // === Plotting === bgcolor(cheat_setup_signal ? color.new(color.green, 80) : na, title="Cheat Setup Background") // Optional: Visual aid lines plot(show_threshold_lines ? adr_percent : na, title="ADR(20)%", color=color.orange) plot(show_threshold_lines ? avg_adr_percent : na, title="Average ADR%", color=color.gray) plot(show_threshold_lines ? adaptive_threshold : na, title="Adaptive Threshold", color=color.red) // ## What This Script Is For // This script helps detect potential breakout zones — often called a "Cheat Setup" — before they happen. // It's useful for identifying periods where a stock's volatility starts expanding after consolidation, which often leads to a breakout. // ## What Is a Cheat Setup? // A Cheat Setup is a technical setup where: // > The price has been consolidating within a narrow range. // > When volatility suddenly increases, it may indicate a breakout is about to occur. // This script alerts you when that volatility expansion begins, using an adaptive threshold. // ## How the Script Works (Step by Step) // 1. Calculates ADR%: // Measures how much the price has moved over the past N days (default: 20), // using the formula: (20-day high - 20-day low) ÷ 20-day low × 100 // 2. Calculates the average ADR% over a longer lookback period (default: 100 bars). // 3. Sets an adaptive threshold: // The average ADR% multiplied by a user-defined sensitivity factor (e.g. 1.5×). // 4. Triggers a cheat setup signal if the current ADR% exceeds the threshold. // 5. Displays a green background on the chart during the signal to visually highlight the cheat area. // 6. Optionally draws 3 reference lines: // - Current ADR% (orange line) // - Average ADR% (gray line) // - Adaptive threshold (red line) // ## How to Use the Script // 1. Apply the script on a TradingView chart (daily timeframe is recommended). // 2. Select a stock (e.g. AAPL, TSLA, 0700, 9988). // 3. Monitor for periods when the background turns green. // 4. These green zones signal that volatility has increased — the stock may be preparing for a breakout. // ## What to Do When You See a Green Background // - Add the stock to your watchlist. // - Wait for confirmation — such as a breakout above the recent consolidation range. // - Use other indicators like RSI, volume, or moving averages to filter signals. // - Avoid chasing; instead, use the green zone as early warning and plan your entry. // ## Recommended Parameter Settings // Parameter | Purpose // ---------------------- | --------------------------------------------------------------- // `adr_period` | Number of days to calculate ADR%, e.g. 20 // `lookback` | Number of bars to average ADR%, e.g. 100 // `sensitivity` | Multiplier for adaptive threshold. 1.5 = moderate, 2.0 = strict // `show_threshold_lines` | Toggle visibility of the ADR%, average, and threshold lines // If the signal appears too frequently, increase the `sensitivity`. If too few, lower it slightly. // ## Summary // This script identifies stocks that are showing early signs of a breakout based on abnormal volatility expansion. // It's especially useful for traders who want to get ahead of the move — before a breakout occurs — rather than reacting to it afterward. // If you'd like, I can extend this script to also include: // - Volume filters // - Consolidation zone detection // - Alert setup // - Breakout confirmation (e.g. close > recent high) // Let me know if you want to take it further.
Indicador Pine Script®
por hkpress
3
GER40 BIAS Forecast [ML-Based]🎯 Purpose: This indicator provides a daily directional bias (LONG / SHORT / FLAT) for the German DAX40 index (GER40) using a statistically optimized scoring model, developed with 6 years of historical data and verified through machine learning analysis. 🧠 How the Score Works (ML-derived): Each trading day receives a bias score (0–3) for both long and short setups, based on these 3 factors from the daily candle: Condition Long Score Logic Short Score Logic 1. Candle Direction Close > Open → +1 Close < Open → +1 2. VWAP Slope VWAP > VWAP → +1 VWAP < VWAP → +1 3. Volatility Strength Range > SMA(20) → +1 Close < Yesterday's Low → +1 (Rejection) ➡️ A score of 2 or more triggers a Long or Short Bias for the day. These scoring rules are derived from a machine learning model trained on 6 years of DAX data, identifying the most predictive features for directional follow-through. 📘 Bias Interpretation: Score Result Daily Bias Background Color Long Score ≥ 2 LONG Green Short Score ≥ 2 SHORT Red Both < 2 FLAT Gray 📍 Indicator Features: 🎨 Background coloring to visualize daily bias directly on intraday charts 🔢 Optional score labels (e.g. “Long: 2 | Short: 1”) per calendar day 📈 VWAP line plotted for additional intraday context ❌ Entry signals removed – this version focuses solely on forecasting directional bias 💡 Use Case: Morning planning aid Filtering for high-probability intraday setups Combining with session-based entry systems
Indicador Pine Script®
por Precious_Life
Pattern + Supertrend + Stoch RSI Signals**Strategy Description: Pattern + Supertrend + Stochastic RSI Filter** This trading strategy combines three robust technical analysis methods to generate high-quality trade signals: ### 1. **Candlestick Patterns** The script detects classic reversal patterns including: * **Hammer** (bullish reversal) * **Shooting Star** (bearish reversal) * **Bullish Engulfing** * **Bearish Engulfing** * **Morning Star** (bullish reversal) * **Evening Star** (bearish reversal) These patterns are only valid when they occur in the direction of the prevailing trend confirmed by Supertrend. ### 2. **Supertrend Filter** Supertrend acts as a trend filter: * Only **long trades** are taken when Supertrend is **bullish**. * Only **short trades** are taken when Supertrend is **bearish**. This ensures that trades are not taken against the major market direction. ### 3. **Stochastic RSI Confirmation** To refine entries, the strategy adds an oscillator-based filter: * **Overbought (>80)** and **Oversold (<20)** zones must be met. * A **Stochastic RSI crossover** is required: * %K crossing above %D when oversold (for longs) * %K crossing below %D when overbought (for shorts) This helps in capturing entries only when momentum is likely to reverse, avoiding low-quality signals in flat markets. ### Trade Signals: A trade signal is generated only when all three conditions are met: 1. A recognized candlestick pattern appears. 2. The Supertrend confirms the trade direction. 3. The Stochastic RSI confirms a crossover in overbought or oversold conditions. This layered filtering system reduces false signals and focuses on higher-probability trade setups that align with trend and momentum. **Use case:** Best suited for swing trading or intraday setups where market context and timing are crucial. **Timeframes:** Works on multiple timeframes but performs better on 15m, 1H, or 4H for more reliable patterns and trend behavior.
Indicador Pine Script®
por rvsoriano056
Relative Imbalance Flow Tracker🚀 RIFT: Relative Imbalance Flow Tracker A totally unique RSI envelope system that uses dual moving averages and color-coded dominance to show potential reversal zones before they happen. No standard Bollinger Bands. No gray confusion. Just clean, smart, visual logic. 🧠 How It Works RSI is calculated and optionally smoothed (RMA/EMA/SMA/WMA). Two RSI-based MAs are plotted: - Fast MA (e.g. 16) = reactive - Slow MA (e.g. 32) = steady Each MA gets its own envelope based on a % distance. If fast envelope dominates (outside the slow one), it lights up. Otherwise, they fade and cancel each other visually. 🎨 Color Logic 🔴 Upper Band (Red) = Overbought danger zone When fast upper > slow upper, it's a warning flare. 🟢 Lower Band (Green) = Oversold bounce zone When fast lower < slow lower, bulls may step in. 🟠 RSI Line Orange = Mixed signals RSI is between the two MAs—no one's in control. 🟢 - RSI Line Green = RSI > both MAs = strong momentum 🔴 - RSI Line Red = RSI < both MAs = bearish pressure 🔍 How to Read It - Red Band + Green RSI = uptrend stalling - Green Band + Red RSI = selloff slowing - No Fill = Envelopes overlapping, no edge - RSI flips from green/red to orange = tug-of-war ⚙️ Why It’s Useful - Gives early reversal clues before RSI tags extreme levels. - Filters out fakeouts by showing when RSI can’t reach the “target zone.” - Dynamic: adapts with trend strength and volatility via envelope width. - Fully customizable: lengths, smoothing, envelope %, colors, fills. 💡 Quick Visual Tips 🔴 - Red Band visible but RSI stalls? = Likely reversal. 🟢 - Green Band shows up and RSI flips green? = Go time. 🟠 - RSI turns orange + no fills? = Sit out or scalp light.
Indicador Pine Script®
por Sherlock_MacGyver
Improved Stoch RSI + Supertrend Filter**Script Description: Improved Stoch RSI + Supertrend Filter** This custom TradingView indicator combines two powerful tools—Stochastic RSI and Supertrend—to generate high-probability trade signals. It is designed for traders who prefer clear, filtered entries based on momentum and trend direction. ### Core Logic: 1. **Stochastic RSI Crossovers:** * The indicator calculates a smoothed Stochastic RSI using user-defined lengths and smoothing parameters. * Signals are only considered when a %K/%D crossover happens in extreme zones: * **Bullish signal**: %K crosses above %D in the **oversold** zone. * **Bearish signal**: %K crosses below %D in the **overbought** zone. 2. **Supertrend Filter:** * The Supertrend indicator, based on ATR, filters trades by confirming the overall trend. * Only **bullish crossovers** are signaled when the Supertrend is green (uptrend). * Only **bearish crossovers** are signaled when the Supertrend is red (downtrend). ### Entry Conditions: * **Long Entry:** * %K crosses above %D in the oversold zone. * Supertrend confirms an uptrend. * **Short Entry:** * %K crosses below %D in the overbought zone. * Supertrend confirms a downtrend. ### Visual Aids: * Buy and sell signals are plotted with green and red labels respectively. * The Supertrend line is also plotted, switching color based on direction. ### Alerts: * Custom alerts are set for both long and short conditions, making this script suitable for automated or alert-driven trading setups. This script is ideal for swing and momentum traders looking to enter trades in strong trend conditions, filtering out noise and false reversals.
Indicador Pine Script®
por rvsoriano056
Darren - Engulfing + MACD CrossDarren – Engulfing + MACD Cross Overall Behavior Identify an engulfing candle (bullish or bearish). Wait up to windowBars bars for the corresponding MACD crossover (bullish engulfing → MACD cross up; bearish engulfing → MACD cross down). If the crossover occurs within that window, trigger an entry (long or short) and close any opposite open trade. Inputs • macdFast (default 12): length of MACD fast EMA • macdSlow (default 26): length of MACD slow EMA • macdSignal (default 9): length of MACD signal line • windowBars (default 3): maximum bars allowed between an engulfing candle and a MACD crossover Indicators • macdLine and signalLine are calculated using ta.macd(close, macdFast, macdSlow, macdSignal) • macdHist = macdLine – signalLine, plotted as columns (green when ≥ 0, red when < 0) Engulfing Pattern Detection • Bullish engulfing (bullEngulfing) is true when the previous candle is bearish (close < open ), the current candle is bullish (close > open), and the current body fully engulfs the previous body (open < close and close > open ). • Bearish engulfing (bearEngulfing) is the inverse: previous candle bullish, current candle bearish, and current body fully engulfs the prior body. MACD Crossover Detection • macdCrossUp is true when macdLine crosses above signalLine. • macdCrossDown is true when macdLine crosses below signalLine. Timing Logic • barsSinceBull = ta.barssince(bullEngulfing) returns number of bars since the last bullish engulfing. • barsSinceBear = ta.barssince(bearEngulfing) returns number of bars since the last bearish engulfing. • longCondition occurs if a MACD cross up happens within windowBars bars of a bullish engulfing (barsSinceBull ≤ windowBars and macdCrossUp). • shortCondition occurs if a MACD cross down happens within windowBars bars of a bearish engulfing (barsSinceBear ≤ windowBars and macdCrossDown). Chart Markers • “Bull” label below bar whenever bullEngulfing is true. • “Bear” label above bar whenever bearEngulfing is true. • Small “Up” ▲ below bar when macdCrossUp is true. • Small “Down” ▼ above bar when macdCrossDown is true. • Triangle ▲ below bar for Long Entry (longCondition). • Triangle ▼ above bar for Short Entry (shortCondition). Entry & Exit Rules • On longCondition: enter “Long”, and close any existing “Short” position. • On shortCondition: enter “Short”, and close any existing “Long” position.
Estratégia Pine Script®
por OEM_redartgnidoc
MACD Crossover with Supertrend FilterThis script is a custom trading indicator that generates **buy and sell signals** based on the combination of: ### 🔹 MACD Crossover: * **Long (Buy)** signal: when the MACD line crosses above the signal line **below the 0 line**. * **Short (Sell)** signal: when the MACD line crosses below the signal line **above the 0 line**. ### 🔹 Supertrend Filter: * **Only buy** when the Supertrend is **bullish (green)**. * **Only sell** when the Supertrend is **bearish (red)**. ### 🔹 Additional Features: * Plots green or red arrows on the chart for entries. * Supertrend line is color-coded. * Alerts can be enabled for both long and short signals. ✅ This combination filters MACD signals using trend direction for more reliable entries.
Indicador Pine Script®
por rvsoriano056
Trend Persistence Counter (TPC) by riskcipher🧭 Trend Persistence Counter (TPC) – A Simple Price Action Trend Duration Tool Trend Persistence Counter (TPC) is a lightweight indicator that counts how long a trend persists after a breakout. It is entirely based on price action, without using any moving averages or smoothing. The goal is to give a simple, rule-based view of trend continuity. 🧠 How It Works (Logic Overview) This indicator switches between two modes: bullish and bearish. If close > previous high, the counter enters bullish mode, and starts at +1 While in bullish mode: If close >= previous low → continue the uptrend → +1 each bar If close < previous low → trend ends → reset to 0, switch to bearish mode If close < previous low, the counter enters bearish mode, and starts at -1 While in bearish mode: If close <= previous high → continue the downtrend → -1 each bar If close > previous high → trend ends → reset to 0, switch to bullish mode This provides a bar-by-bar count of trend persistence based on whether price holds structure. 🎯 Use Cases Track how long a trend continues after a breakout Quickly detect when trend structure breaks Help visually filter “strong” vs “weak” moves Build logic-based alerts (e.g., trend continues for N bars) 🔍 Why Use This Instead of Traditional Indicators? This is not meant to replace moving averages or trend filters. But it offers some advantages for those who prefer structure-based logic: Feature TPC Based on Price Action ✅ Yes Uses Lagging Filters ❌ No moving average or smoothing Trend Duration Measurement ✅ Counts valid consecutive moves Complexity ⚪ Very simple and transparent It’s a simple concept and easy to understand, but still useful when combined with other tools or visualized on its own. ⚙️ Technical Notes Works on any timeframe or instrument The value is positive during bullish persistence, negative during bearish Value resets to 0 when trend structure breaks All logic is calculated bar-by-bar, in real time ✅ Example Usage Ideas Highlight candles when TPC value crosses a certain threshold (e.g., strong breakout continuation) Use the zero-cross as a potential reversal warning Filter trend signals in your existing strategies
Indicador Pine Script®
por RiskCipher