Empiece

Statistics

Improved Candle Strategy (without daily squared)# Candle Pattern Trading Strategy ## Core Logic Analyzes the last 5 candlesticks to identify "close at high" and "close at low" patterns, generating long/short signals. ## Trading Conditions - **Long**: ≥2 bars closed at high in past 5 bars + current bar closes at high → Open long - **Short**: ≥2 bars closed at low in past 5 bars + current bar closes at low → Open short - **Filter**: If ≥3 doji patterns detected, skip trading ## Risk Management - Stop Loss: Based on entry bar's high/low - Take Profit: Risk × 2x multiplier - Cooldown: No trading for 2 bars after entry - Session Filter: No trading for first 5 bars after market open ## Configurable Parameters - Lookback period, doji threshold, close proximity ratio, TP/SL ratio, cooldown bars, etc. **Use Cases**: 1-minute and higher timeframes on stocks/futures
Estrategia Pine Script®
por masteraux101
Day of WeekDay of Week is an indicator that runs in a separate panel and colors the panel background according to the day of the week. Main Features Colors the background of the lower panel based on the day of the week Includes all days, from Monday to Sunday Customizable colors Time Offset Correction TradingView calculates the day of the week using the exchange’s timezone, which can cause visual inconsistencies on certain symbols. To address this, the indicator includes a configurable time offset that allows the user to synchronize the calculated day with the day displayed on the chart. By simply adjusting the Time Offset (hours) parameter, the background will align correctly with the visible chart calendar.
Indicador Pine Script®
por MarkiStrategy
Momentum Table View (Bar-Based)// NOTE: // This script uses bar-based lookbacks instead of calendar months. // Approximate conversions for daily charts: // - 21 bars ≈ 1 month // - 63 bars ≈ 3 months // - 252 bars ≈ 1 year // For other timeframes, adjust accordingly for different time periods and needs. // For hourly I have it set at 24*5, 24*5*4 and then finally 24*5*4 to give the same, // daily, weekly and monthly aggregate returns but on the hourly scale. // Of course you can split it anyway you like as well depends on the expected needs you have. Running idea so there will likely be revisions to the z scoring to possibly a different method and the atan angle represented in the code will also likely be changed at some point as to maybe a regression method. These changes will take time as this is only a secondary platform for me not the main source of data. In saying that the table has the data representing the log returns of an asset of n bars which I decided on over the original more accurate daily, weekly and monthly close points which the user can always specify using this method if wanting to be more accurate with the standard method of momentum returns factor.
Indicador Pine Script®
por CapnStbn
EMA Slope Angle V2 Auto Threshold# EMA Slope Angle Indicator ## Overview The EMA Slope Angle Indicator visualizes the Exponential Moving Average (EMA) slope as an angle in degrees, providing traders with a clear, quantitative measure of trend strength and direction. The indicator features **automatic threshold calculation based on Gaussian distribution**, making it adaptive to any market and timeframe. ## Key Features ### 🎯 **Automatic Threshold Calculation (NEW!)** - **Gaussian Distribution-Based**: Automatically calculates optimal thresholds from the 50% interquartile range (IQR) of historical angle data - **Asset-Adaptive**: Thresholds adjust to each instrument's unique volatility and price characteristics - **No Manual Tuning Required**: Simply enable "Use Auto Thresholds" and let the indicator optimize itself ### 📊 **Dynamic EMA Coloring** - **Color Intensity**: EMA line color intensity reflects slope strength - **Visual Feedback**: - Green shades for uptrends (darker = stronger) - Red shades for downtrends (darker = stronger) - Gray for flat/neutral conditions ### 📈 **Regime Detection** - **Three Regimes**: RISING, FALLING, and FLAT - **Smart Classification**: Based on statistical distribution of angles - **Non-Repainting**: All calculations use confirmed bars only ### 🔔 **Trend-Shift Signals** - **Visual Arrows**: Automatic signals when transitioning from FLAT to RISING/FALLING - **Configurable**: Enable/disable signals as needed - **Reliable**: Only triggers on significant regime changes ### 📋 **KPI Dashboard** - **Real-Time Metrics**: Current angle, regime, and last signal - **Auto-Threshold Display**: Shows calculated thresholds when auto-mode is active - **Statistics**: Optional angle distribution statistics - **Clean Layout**: Top-right corner, non-intrusive ### 📊 **Angle Statistics (Optional)** - **Distribution Analysis**: Histogram of angle ranges - **Dynamic Buckets**: Automatically adjusts to data distribution when auto-mode is enabled - **Percentage Breakdown**: See how often each angle range occurs ## Settings ### Main Settings - **EMA Length**: Period for the Exponential Moving Average (default: 50) - **Slope Lookback Bars**: Number of bars to calculate slope over (default: 5) ### Angle Settings - **Use Auto Thresholds**: Enable automatic threshold calculation (recommended!) - **Analysis Period**: Number of bars to analyze for distribution (default: 500) - **Manual Thresholds**: Flat, Rising, and Falling triggers (used when auto-mode is off) - **Max Angle for Color Saturation**: Maximum angle for color intensity scaling ### Display Options - **Colors**: Customize uptrend, downtrend, and flat colors - **Show Signals**: Enable/disable trend-shift arrows - **Show Statistics**: Display angle distribution table - **Show Dashboard**: Toggle KPI dashboard visibility ## How It Works ### Angle Calculation The indicator calculates the angle between the current EMA value and the EMA value N bars ago: ``` Angle = arctan((EMA_now - EMA_then) / lookback) × 180° / π ``` ### Auto-Threshold Calculation When enabled, the indicator: 1. Analyzes historical angle data over the specified period 2. Calculates mean and standard deviation 3. Determines thresholds based on the 50% interquartile range (IQR): - **Flat Threshold**: ±0.674σ (middle 50% of data) - **Rising Trigger**: 75th percentile (mean + 0.674σ) - **Falling Trigger**: 25th percentile (mean - 0.674σ) ### Regime Classification - **FLAT**: Angle within ±Flat Threshold - **RISING**: Angle ≥ Rising Trigger - **FALLING**: Angle ≤ Falling Trigger ## Use Cases ### Trend Following - Identify strong trends (high angle values) - Spot trend reversals (regime changes) - Filter trades based on trend strength ### Range Trading - Detect flat/consolidation periods - Avoid trading during choppy markets - Enter when regime shifts from FLAT to RISING/FALLING ### Multi-Timeframe Analysis - Apply to different timeframes for confirmation - Use higher timeframe for trend direction - Use lower timeframe for entry timing ## Tips for Best Results 1. **Enable Auto-Thresholds**: Let the indicator adapt to your instrument 2. **Adjust Analysis Period**: Use more bars for stable markets, fewer for volatile ones 3. **Combine with Price Action**: Use regime changes as confirmation, not standalone signals 4. **Multi-Timeframe**: Check higher timeframes for trend context 5. **Backtest First**: Test settings on historical data before live trading ## Technical Details - **Non-Repainting**: All calculations use `barstate.isconfirmed` - **Pine Script v6**: Latest version for optimal performance - **Efficient**: Minimal computational overhead - **Customizable**: Extensive settings for fine-tuning ## Version History **v2.0** (Current) - Added automatic threshold calculation based on Gaussian distribution - Dynamic bucket adjustment for statistics - Enhanced dashboard with auto-threshold display - Improved regime detection using IQR method **v1.0** - Initial release with manual thresholds - Basic EMA coloring - Trend-shift signals - KPI dashboard ## Support For questions, suggestions, or bug reports, please leave a comment or contact the author. --- **Disclaimer**: This indicator is for educational purposes only. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose. **Keywords**: EMA, slope, angle, trend, automatic thresholds, Gaussian distribution, regime detection, non-repainting, adaptive
Indicador Pine Script®
por Lean_Trading
Session HeatmapIntraday Seasonality Overview Analyzes historical patterns by time of day. Identifies when volatility, volume, and open interest changes tend to be highest or lowest. Features Multiple Metrics: TR (volatility), Volume, and Open Interest changes Flexible Grouping: View patterns by weekday or month to spot day-of-week or seasonal effects Heatmap Visualization: Blue (low) to Red (high) color scale for quick pattern recognition Percentile Mode: Reduces outlier impact by using 5th-95th percentile range Timezone Support: Display in UTC alongside your local time Metrics Explained TR: Volatility - when markets move most Volume: Liquidity - when participation is highest OI Increase: When new positions are opened OI Decrease: When positions are closed OI Net: Net open interest change Usage Set your timezone and preferred slot size (30min/1H) Choose a date range (relative or custom) Select a metric to analyze Use "Group By" to see weekday or monthly patterns Switch to Percentile color scale if outliers dominate Notes Chart timeframe should be equal to or smaller than Slot Size OI metrics require Binance Perpetual symbols DST is not automatically adjusted; consider seasonal shifts for US/EU sessions
Indicador Pine Script®
por ketan_kee
Probability-Based Adaptive Detection🙏🏻 PBAD (Probability-Based Adaptive Detection) : adaptive control tool for outliers || novelty detection, made for worst case data & processes, for the highest time complexity O(n^2) compared with the alternatives (would be explained in a sec). Thresholds are completely data driven and axiomatic, no need in provided hyperparameters, are not learned or optimized. The method accepts multiple weights, e.g. both temporal and volatility weights. Method briefly explained (I can go deeper if any1 asks explicitly): Performs weighted KDE on initial input data, finds KDE global maximum (mode), creates new “residuals” dataset by centering initial data around this value; Performs weighted KDE on residuals, uses sigmoid based probability mass targets with increasing probability coverage to construct a set of non-disjoint High Density Intervals (also called HDR, HPD in Bayesian terms); Uses these intervals to calculate analogs of centralized & standardized moments; Uses these ^^ moments to construct a set of control thresholds. The scheme used in PBAD is not only based on a central threshold, or on neighboring ones, it utilizes all previous thresholds, gaining more information. ... The most important part is to understand whether you really need PBAD. Because even tho it seems to be the best one given highest algocomplexity, irl it would work worse in cases when it’s not required by your data. Here’s the menu (aka taxonomy omg) of methods you can use that would let you make the right choice: Moment-Based Adaptive Detection (MBAD) : Norm: L2 Time complexity: original O(n), successfully reduced to O(1) in online version Use case: default, general purpose Based on: method of moments (powers of residuals from mean) Thresholds architecture: centralized Quantile-Based Adaptive Detection (QBAD): Norm: L1 Time complexity: O(nlogn) Use case: either bad data Or process instability Based on: quantile moments (dyadic percentiles of residuals from median) Thresholds architecture: chained/recursive/sequential Probability-Based Adaptive Detection (PBAD): Norm: L0 Time complexity: O(n^2) Use case: both bad data And process instability Based on: probability moments (target probability masses of residuals from KDE mode) Thresholds architecture: decentralized (for lack of a better name xd, the idea is that these thresholds gain information from the all other threshold and are Not exclusively based on the central or neighboring thresholds) ... Examples of true use cases: ^^ an appropriate financial instrument to use PBAD ^^ and another one ... Additional details about how to use it: Keep the student5 kernel, it’s the best you can do. I added others mostly for comparisons and if you want to use the tool Not for its primary purpose (on a fine data) “Calculate for N bars” and “Starting at bar N” options allow to reduce calculation period only on the N number of last bars or next bars from a chosen one. It's vital, because calculations here are heavy Keep plotting offset at 1 (allows to visually compare current bar with the previous threshold values). This is the way it should be done on price data. HLC3 is the optimal source input, unless you want to use your own better one point estimate of each datapoint (in the best case done by using PBAD itself on OHLC+ values). In essence it should be used just like MBAD or QBAD, fade/push extensions and limit, fade/push/skip deviations & basis, or other strategies of your. Again, the only reason for 3 methods to exist is to be chosen for according data characteristics. Btw: This is the initial version, I don’t consider it perfected tbh, even tho it works as expected, however this method is very situational anyways. In this script KDE function is modified to ensure the outcoming probabilities Do sum up to 1. I didn’t do this normalization in Weighted KDE Mode script , but there it’s not required since we just need a KDE global max. see ya ∞
Indicador Pine Script®
por gorx1
1
GC1! H1 Stats+GC1! H1 Stats - Detailed Prob & Excursion Indicator Overview GC1! H1 Stats - Detailed Prob & Excursion is a specialized statistical overlay indicator for TradingView, tailored for Gold futures (GC1!) on a 1-hour framework. It provides real-time insights into the probability of price returning to the hourly open after sweeping the previous hour’s high (PHH) or previous hour’s low (PHL), based on historical data segmented by hour (0–23) and 20-minute intervals. The indicator visualizes these sweeps with lines, labels, circles, background fills, and “excursion zones” (also called “Magic Boxes”) that highlight median/mean extensions post-sweep, along with percentile lines (75th / 90th / 95th) for gauging potential “pain” or extreme moves. This tool is designed for intraday Gold traders focusing on liquidity sweeps and mean-reversion behavior, helping to quantify edge using empirical probabilities and excursion statistics. The data is hardcoded from extensive historical analysis of GC1! behavior (e.g., probabilities ranging roughly from ~7% to ~91%, with sample sizes up to 2000+ per segment), making it a backtested reference rather than a dynamic learning model. It emphasizes visual clarity during active hours, with options to filter for Regular Trading Hours (RTH: 09:00–15:59 ET) or high-probability (>70%) events only. Note: This is an educational tool for analyzing market structure; it does not predict future performance or provide trading signals/advice. Past data does not guarantee future results, and users should backtest on current conditions (as of December 2025 data availability) and use at their own risk, in compliance with TradingView’s house rules. ________________________________________ Key Features • Sweep Detection & Probability Labels: Identifies when price breaks PHH (upside) or PHL (downside), displaying a centered label with probability of returning to the hourly open, sample size (N), time of sweep, and a checkmark (✅) if the open is retested post-sweep. • Visual Lines & Markers: Draws hourly open (h.o.), PHH, and PHL lines with customizable styles/colors; adds small circles on sweep bars for quick spotting. • Breakout→Open Background Fill: Shaded zone from sweep bar until price returns to open, visualizing extension duration and retracement. • Excursion (Pain) Zone - “Magic Box”: Post-sweep box showing median/mean extension percentages, colored dynamically by probability (green high, orange mid, red low); includes dashed lines for 75th/90th/95th percentiles to mark statistical extremes. • Time-Segmented Data: Probabilities and excursions vary by hour (0–23) and 20-min segments (0–19 min: _0, 20–39: _1, 40–59: _2), capturing intraday nuances (e.g., higher probs in early/late hours). • Filters for Focus: RTH-only mode hides non-session elements; high-prob-only shows >70% events to reduce noise. • Alerts: Triggers on PHH/PHL sweeps with messages for chart checks. ________________________________________ How It Works • Data Foundation: Uses pre-computed maps for probabilities (prob_high_taken/prob_low_taken), sample sizes, and excursions (mean, median, p75/p90/p95 as percentages of open). Data is initialized on the first bar via f_init_high_data() and f_init_low_data(), covering 24 hours with 3 segments each (e.g., key "9_1" for 09:20–09:39). Probabilities represent historical likelihood of price returning to open after sweep; excursions quantify average/rare extensions (e.g., 0.156% mean = 0.156% of open price). • Period Detection: On new 1H bars (new_period_bar), resets visuals, draws lines for open/PHH/PHL extending 1 hour forward, and labels if enabled. Uses request.security on standard ticker for real OHLC, bypassing chart transformations (e.g., Heikin Ashi). • Sweep Logic: On each bar, checks if real high > PHH or real low < PHL. If so, fetches segment-specific data (hour + floor(minute/20)), displays probability label centered mid-hour. Skips if filtered (RTH-only or <70% prob). • Excursion Visualization: If enabled, draws “Magic Box” from 1-min to 58-min into the hour, bounded by mean/median levels (top/bottom adjusted for high/low sweep). Adds percentile lines with labels (e.g., “75%”) at right end. Box color reflects prob strength for quick bias assessment. • Retest Check: Monitors for open retest post-sweep (high/low cross open, or gap scenarios from prev bar). Adds ✅ to label if hit on subsequent bars (skips sweep bar to avoid false positives). Stops background fill on retest or at 58-min mark. • Background Fill: Activates on sweep, shades until retest, using user color. • Cleanup & Performance: Manages labels in arrays, clears on new periods; no excess drawing beyond max counts (500 lines/labels/boxes). This setup blends statistical backtesting with real-time visualization: hardcoded data provides empirical probabilities/excursions (reducing subjectivity in breakouts), while dynamic elements (lines, fills, boxes) overlay structure on the chart. It helps Gold traders assess if a sweep is “high-edge” (e.g., >70% probability of reverting) or likely to run (low probability, high excursion), pairing historical context with current price action. ________________________________________ Settings and Customization Inputs are grouped for ease: 1. Settings: o Show RTH Only (9:00–15:59): Restricts to main session (default: false; tooltip: for RTH-focused stats). o Show High Prob Only (>70%): Filters low-prob sweeps visually (default: false; tooltip: highlights confidence). 2. Visuals: o Show Line Labels: Toggle “h.o.” / “phh” / “phl” (default: true). o Period Open Line Color: Gray 50% (default). o Previous High/Low Line Colors: Gray 100% (default). o Open Line Style/Width: Dotted/1 (default; options: Solid/Dotted/Dashed). 3. Breakout→Open Background: o Show Breakout→Open Background: Toggle fill (default: true). o Fill Color: Teal 85% (default). 4. Breakout Circles: o Show Breakout Circles: Toggle (default: true). o PHH/PHL Break Circle Colors: White 20% (default). 5. Info Label Style: o Text Size: Small (default; options: Auto/Tiny/Normal/Large/Huge). o Label Text Color: White (default). o Low/Mid/High Probability Colors: Red 20% / Orange 20% / Green 20% (default). 6. Excursion (Pain) Zone: o Show Excursion Zone: Toggle Magic Box (default: true). o Excursion Box Color: Gray 75% (default; dynamic overrides). o 75th/90th/95th Percentile Lines: Orange 30% / Red 30% / Dark Red 100% (default). No additional tables/plots; all elements are lines/labels/boxes for overlay focus. ________________________________________ Usage Tips • Breakout Trading: Watch for sweeps with high probability (>70%, green label) as potential fades back to open; low probability (red) may signal runs—use the excursion box for targets (e.g., exit at 90th percentile for extremes). • Time Awareness: Probabilities often peak in key liquidity windows and drop in quieter hours; segments capture momentum shifts (e.g., _2 often lower prob). • RTH Focus: Enable for cleaner stats during high-liquidity session hours; disable for a 24-hour view. • Visual Filtering: Use high-prob-only in volatile conditions to reduce noise; combine with volume or other confluence tools for confirmation. • Alerts Integration: Set TradingView alerts on sweeps; check label for probability/N before acting. • Chart Setup: Best on 1H or lower GC1! charts; adjust text size for readability on smaller screens. • Backtesting: Manually review historical sweeps against data maps to validate; update hardcoded values if new data emerges (as of 2025). ________________________________________ Limitations • Fixed Data: Hardcoded stats may not reflect recent market changes (e.g., post-2025 regime shifts); not adaptive. • Reactive Only: Detects sweeps after they occur; no predictive signals. • Timeframe Specific: Locked to 1H logic; may not translate to other assets/timeframes without recoding data. • Visual Clutter: On busy charts, labels/boxes may overlap—toggle selectively. • No Live Stats: Sample sizes are historical; real-time N/prob not updated. • Gaps & Extremes: Handles gaps in retest logic, but rare events (e.g., macro news) may exceed the 95th percentile. ________________________________________ Disclaimer This indicator is for informational and educational purposes only. Trading involves significant risk of loss and is not suitable for all investors. The hardcoded data represents past Gold futures (GC1!) performance and does not guarantee future outcomes. No claims of profitability are made—results depend on market conditions, user strategy, and risk management. Consult a financial advisor before trading, and backtest extensively. Abiding by TradingView rules, this tool provides no investment recommendations.
Indicador Pine Script®
por tncylyv
BTC - Bitcoin Strategic Dashboard by RM Title: BTC - Bitcoin Strategic Dashboard | RM Overview & Philosophy The Bitcoin Strategic Dashboard is a comprehensive analytics tool designed to provide deeper market context beyond simple price action. While a standard chart displays price history, this dashboard focuses on the structural health of the market. It aims to answer clearer questions: Is the asset statistically overextended? Is the current volatility compressed or expanding? How is Bitcoin currently correlating with traditional equity markets? This script aggregates key data points—Performance, Risk, Valuation, and Macro Correlations—into a single, organized table. It is designed to be a quiet, high-density reference tool that sits unobtrusively in the corner of your screen, helping to contextualize daily price movements without cluttering your workspace. Methodology & Module Breakdown The dashboard is divided into 5 strategic modules. Here is exactly how to read them, how they are calculated, and how to interpret the data. 1. PERFORMANCE This section answers: "Is Bitcoin actually beating the traditional market, and by how much?" BTC Return : The raw percentage growth of Bitcoin. Timeframes: 1-Year (Tactical Trend) and 4-Year (The Halving Cycle). Alpha (vs SPX / Gold): Meaning : "Alpha" measures true outperformance. It tells you how much better your capital worked in Bitcoin compared to the S&P 500 (Stocks) or Gold. Calculation : We use a Relative Growth Ratio. Instead of simple subtraction, we calculate the growth factor of BTC divided by the growth factor of the Benchmark. Interpretation : Green: Bitcoin is outperforming. It is the superior vehicle for capital. Red: Bitcoin is underperforming traditional assets (Opportunity Cost is high). 2. RISK PROFILE This section answers: "How dangerous is the market right now?" Drawdown (DD): Meaning : The percentage loss from the 1-Year High. Interpretation : Deep Drawdowns (e.g., > -50%) historically signal generational buying opportunities (Deep Red). Small Drawdowns (< -5%) signal we are near "Discovery Mode" (Blue/Green). Sharpe Ratio: Meaning : The industry standard for "Risk-Adjusted Return." It asks: "Is the profit worth the stress?" Timeframe : Annualized over 365 Days. Interpretation : > 1.0: Good. The return justifies the risk. > 2.0: Excellent. (Dark Green). < 0.0: Bad. You are taking risk for negative returns. Sortino Ratio: Meaning : Similar to Sharpe, but it only counts downside volatility as "risk." Bitcoin often rallies aggressively (Good Volatility); Sortino ignores the upside "risk" and focuses only on minimizing losses. Volatility (Vol) & Rank: Meaning : How violently the price is moving. Calculation : We compare the current 30-Day Volatility against the last 4 Years of volatility history (Rank 0-100). Interpretation (The Squeeze Strategy) : BLUE (Cold / <25%): Volatility is historically low. The market is "compressed." Big moves often follow these periods. RED (Hot / >75%): Volatility is extreme. High risk of mean reversion or panic. 3. VALUATION & MOMENTUM This section answers: "Is Bitcoin cheap or expensive?" Mayer Multiple (MM): Meaning: A "Godfather" of Bitcoin ratios. Calculation : Current Price divided by the 200-Day Moving Average. Interpretation : < 0.8 (Blue): Historically "Cheap." 1.0: Fair Value (Price = Trend). > 2.4 (Red): Speculative Bubble territory. RSI (Relative Strength Index): Timeframe : 14 Days. Interpretation : >70 suggests the market is overheated (Red). <30 suggests oversold conditions (Blue). Trend (ADX) : Meaning : The Average Directional Index measures the strength of a trend, not the direction. Interpretation : Values >25 (Green) indicate a strong trend is present. Values <20 (Gray) indicate a choppy/sideways market (no trend). vs 200W (Macro): Meaning : The distance to the 200-Week Moving Average. Interpretation : This line is historically the "Cycle Bottom" or "Absolute Support" for Bitcoin. Being close to it (or below it) is rare and often marks cycle lows. 4. MACRO CORRELATIONS This section answers: "Is Bitcoin moving on its own, or just following the Stock Market?" vs TradFi (SPX): Timeframe : 90-Day Correlation Coefficient. Interpretation : High Positive (Red): BTC is just acting like a tech stock. No "Safe Haven" status. Negative/Zero (Green): BTC is "decoupled." It is moving independently of Wall Street. vs DXY (US Dollar): Interpretation : Bitcoin usually moves inverse to the Dollar. Negative (Green): Normal healthy behavior. Positive (Red): Warning signal. If both DXY and BTC rise, something is breaking in the system. 5. HISTORICAL LEDGER A Year-by-Year breakdown of returns. Feature : You can toggle the comparison column in the settings to compare Bitcoin against either S&P 500 or Gold. Usage : Helps visualize the cyclical nature of returns (e.g., the 4-year cycle pattern of Green-Green-Green-Red). How to Read the Visuals (Heatmap) The dashboard uses a standardized Bloomberg-style heatmap to let you assess the market state in milliseconds: 🟢 Green: Profit / Good Performance / Positive Alpha. 🔴 Red: Loss / Overheating / High Risk. 🔵 Blue: "Cold" / Cheap / Low Volatility (Potential Buy Zones). 🟠 Orange: Warning / High Drawdown. ⚫ Gray/Black: Neutral or Fair Value. Settings & Customization Visuals: Change the text size (Tiny, Small, Normal) to fit your screen resolution. Modules: You can toggle individual sections on/off to save screen space. Calculation: Switch the Historical Benchmark between "S&P 500" and "Gold" depending on your thesis. Disclaimer This script is for research and educational purposes only. The metrics provided (Sharpe, Sortino, Mayer Multiple) are derived from historical data and do not guarantee future performance. "Cheap" (Low Mayer Multiple) does not mean the price cannot go lower. Always manage your own risk. Tags bitcoin, btc, bloomberg, terminal, dashboard, onchain, mayer multiple, sharpe ratio, volatility, alpha, risk management, Rob Maths
Indicador Pine Script®
por Rob_Maths
Student Wyckoff Relative StrengthSTUDENT WYCKOFF Relative Strength compares one instrument against another and plots their relative performance as a single line. Instead of asking “is this chart going up or down?”, the script answers a more practical question: “is THIS asset doing better or worse than my benchmark?” ━━━━━━━━━━ 1. Concept ━━━━━━━━━━ The indicator builds a classic relative strength (RS) line: • Main symbol = the chart you attach the script to. • Benchmark symbol = any symbol you choose in the settings (index, ETF, sector, another coin, etc.). RS is calculated as: RS = Price(main symbol) / Price(benchmark) If RS is rising, your symbol outperforms the benchmark. If RS is falling, your symbol underperforms the benchmark. You can optionally normalize RS from the first bar (start at 1 or 100) to clearly see how many times the asset has outperformed or lagged behind over the visible history. This is not a “buy/sell” indicator. It is a **context tool** for rotation, selection and Wyckoff-style comparative analysis. ━━━━━━━━━━ 2. How the RS line is built ━━━━━━━━━━ Inputs: • Source of main symbol – default is close, but you can choose any OHLC/HL2/typical price etc. • Benchmark symbol – ticker used as reference (index, sector, futures, Bitcoin, stablecoin pair, etc.). • Benchmark timeframe – by default the current chart timeframe is used, or you can force a different TF. The script uses `request.security()` with `lookahead_off` and `gaps_off` to pull benchmark prices **without look-ahead**. A small epsilon is used internally to avoid division by zero when the benchmark price is very close to 0. Normalization options: • Normalize RS from first bar – if enabled, the very first valid RS value becomes “1” (or 100), and all further values are expressed relative to this starting point. • Multiply RS by 100 – purely cosmetic; makes it easier to read RS as a “percentage-like” scale. ━━━━━━━━━━ 3. Smoothing and color logic ━━━━━━━━━━ To help read the trend of relative strength, the script calculates a simple moving average of the RS line: • RS MA length – period of smoothing over the RS values. • Show RS moving average – toggle to display or hide this line. Color logic: • When RS is above its own MA → the line is drawn with the “stronger” color. • When RS is below its MA → the line uses the “weaker” color. • When RS is close to its MA → neutral color. Optional background shading: • When RS > RS MA → background can be tinted softly green (phase of relative strength). • When RS < RS MA → background can be tinted softly red (phase of relative weakness). This makes it easy to read the **trend of strength** at a glance, without measuring every small swing. ━━━━━━━━━━ 4. How to interpret it ━━━━━━━━━━ Basic reading rules: • Rising RS line – The main symbol is outperforming the benchmark. – In Wyckoff terms, this can indicate a leader within its group, or a sign of accumulation relative to the market. • Falling RS line – The main symbol is underperforming the benchmark. – Can point to laggards, distribution, or simply an asset that is “dead money” compared to alternatives. • Flat or choppy RS line – No clear edge versus the benchmark; performance is similar or rotating back and forth. With normalization on: • RS > 1 (or > 100) – the asset has grown more than the benchmark since the starting point. • RS < 1 (or < 100) – it has grown less (or fallen more) than the benchmark over the same period. The RS moving average and colored background highlight whether this outperformance/underperformance is a **temporary fluctuation** or a more sustained phase. ━━━━━━━━━━ 5. Practical uses ━━━━━━━━━━ This indicator is useful for: • **Selecting stronger assets inside a group** – Compare individual stocks vs an index, sector, or industry ETF. – Compare altcoins vs BTC, ETH, or a crypto index. – Prefer charts where RS is in a sustained uptrend rather than just price going “up on its own”. • **Monitoring sector and rotation flows** – Attach the script to sector ETFs or major coins and switch the benchmark to a broad market index. – See where capital is rotating: which areas are gaining or losing strength over time. • **Supporting Wyckoff-style analysis** – Use RS together with volume, structure, phases and trading ranges. – A breakout or SOS with rising RS vs the market tells a different story than the same pattern with falling RS. • **Portfolio review and risk decisions** – When an asset shows a long period of relative weakness, it may be a candidate to reduce or replace. – When RS turns up from a long weak phase, it can signal the start of potential leadership (not an entry by itself, but a reason to study the chart deeper). ━━━━━━━━━━ 6. Notes and disclaimer ━━━━━━━━━━ • Works on any symbol and timeframe available on TradingView. • The last bar can change in real time as new prices arrive; this is normal behaviour for all indicators that depend on current close. • There are no built-in alerts or trading signals – this tool is meant to support your own analysis and trading plan. This script is published for educational and analytical purposes only. It does not constitute financial or investment advice and does not guarantee any performance. Always test your ideas, understand the logic of your tools and use proper risk management.
Indicador Pine Script®
por StudentWyckoff
2
Seasonal Trend by LogReturn ProSeasonal Trend by LogReturn Pro Seasonal Trend by LogReturn Pro is a seasonality indicator that analyzes historical average logarithmic returns to visualize recurring price behavior throughout the trading year. Instead of using simple price averages, this indicator is based on log returns, making it scale-independent and mathematically consistent across different price levels and assets. 🔍 How It Works The indicator calculates daily logarithmic returns for each trading day of the year. These returns are aggregated and averaged over a user-defined number of past years. Based on this historical data, a seasonal trend profile is constructed that represents the statistically expected market behavior over the year. All calculations are aligned by trading day index, not calendar days, ensuring accurate seasonality even across different years and holidays. 📈 Display Modes The indicator offers two complementary visualizations: 1. Absolute Seasonal Projection (Main Chart) - Projects a price path based on historical average log returns. - Can be displayd: - Only for the remaining part of the current year, or - For the entire year, starting from the beginning. - Useful for visualizing potential seasonal price tendencies relative to the current price. 2. Relative Seasonal Performance (Indicator Pane) Shows the cumulative seasonal return in percentage terms. Centered around a zero line for easy interpretation. Ideal for identifying periods with historically positive or negative seasonal bias. 💡 Use Cases Identifying seasonal bullish or bearish phases Timing entries and exits based on historical tendencies Combining seasonality with technical or fundamental analysis Gaining a long-term probabilistic market perspective ⚠️ Disclaimer This indicator is based on historical data and does not predict future price movements. It should be used as a statistical reference tool, not as a standalone trading signal.
Indicador Pine Script®
por bronko791
Session ATR Progression Tracker📊 Session ATR Progression Tracker - SIYL Regression Trading Tool Track how much of your instrument's 7-day Average True Range (ATR) has been covered during the current trading session. This indicator is specifically designed for regression traders who follow the "Stay In Your Lane" (SIYL) methodology, helping you identify when the probability of mean reversion significantly increases. If you are interested in more on that check out Rod Casselli and tradersdevgroup.com. 🎯 Key Features: • Real-time ATR Coverage Percentage - See at a glance what percentage of the 7-day ATR has been covered in the current session • SIYL-Optimized Thresholds - See at a glance when the instrument has achieved 80% and 100% ATR coverage, the proven thresholds where mean reversion probability increases (customizable) • Flexible Session Modes: - Daily: Resets at calendar day change - Session: Uses exchange-defined trading sessions - Custom Session: Set your exact session start/end times (perfect for futures traders and international markets) • Visual Alerts - Color-coded display (gray → orange → red) and optional background highlighting • Repositionable Display - Choose from 9 screen positions to avoid chart clutter • Session Markers - Green triangles mark the start of each new session • Detailed Stats - View current range, ATR value, session high/low, and session status 💡 Why Use This Indicator? This tool is built around a proven concept: regression trading becomes significantly more effective once a session has achieved at least 80% of its 7-day ATR. At this threshold, the probability of price reverting to mean increases substantially, creating higher-probability trade setups for SIYL practitioners. Benefits for regression traders: - Identify optimal entry points when mean reversion probability is highest (≥80% ATR coverage) - Avoid premature regression entries before adequate range has been established - Recognize when daily moves have "earned their range" and are ripe for reversal - Time fade-the-move and counter-trend strategies with statistical backing - Improve win rates by trading only after proven probability thresholds are met ⚙️ Setup Instructions: 1. Add the indicator to your chart 2. Select your preferred "Reset Mode" (recommend "Custom Session" for futures/international markets) 3. If using Custom Session, enter your session times in 24-hour format (e.g., 0930-1600 for US stocks, 1700-1600 for CME futures) 4. Adjust alert thresholds if desired (default: 80% and 100% - proven SIYL thresholds) 5. Position the display where it's most visible on your chart 📈 Works Across All Markets: Stocks • Futures • Forex • Indices • Crypto • Commodities Perfect for regression traders, mean reversion specialists, and SIYL practitioners who want to trade with probability on their side by entering only after the session has "earned its range." --- Tip: For futures contracts with overnight sessions that span calendar days (like MES, MNQ, MYM), use "Custom Session" mode with your exchange's official session times for accurate tracking.
Indicador Pine Script®
por jmaybe
VolatilityCone by ImpliedVolatility ProVolatilityCone by ImpliedVolatility Pro VolatilityCone by ImpliedVolatility Pro is a forward-looking volatility projection tool that visualizes expected price ranges based on implied volatility. It draws a volatility cone starting from a user-defined date and projects statistically expected price boundaries into the future using standard deviation theory. 🔍 What does this indicator do? This indicator calculates and plots price ranges that represent ±1, ±2, and ±3 standard deviations from a starting price, based on implied volatility. The result is a cone-shaped projection that shows where price is statistically likely to move over time. In addition, the indicator calculates a Z-Score, showing how far the current price deviates from the expected mean in volatility terms. 📐 Key Features → Forward projection based on implied volatility → Supports up to 3 standard deviation levels → Optional display of half standard deviation levels → Manually enter implied volatility or automatically fetch IV from another symbol (e.g. VIX) → Custom Start Date → The cone starts exactly at the selected date → Ideal for earnings, events, or cycle-based analysis → Displays the statistical mean price → Z-Score indicates how extreme the current price is relative to the cone 📊 How to Use Price inside the cone → Normal volatility behavior Price near ±1σ → Typical volatility range Price near ±2σ or ±3σ → Statistically stretched or extreme conditions Positive Z-Score → Price trading above the mean Negative Z-Score → Price trading below the mean This makes the indicator useful for: → Volatility analysis → Mean reversion strategies → Risk assessment → Event-based forecasting → Options-related analysis ⚙️ Notes & Disclaimer This indicator is not a prediction tool, but a statistical projection It assumes volatility follows a square-root-of-time model Best used as a context tool, not as a standalone trading signal
Indicador Pine Script®
por bronko791
1
Unmitigated Liquidity ZonesUnmitigated Liquidity Zones Description: Unmitigated Liquidity Zones is a professional-grade Smart Money Concepts (SMC) tool designed to visualize potential "draws on liquidity" automatically. Unlike standard Support & Resistance indicators, this script focuses exclusively on unmitigated price levels — Swing Highs and Swing Lows that price has not yet revisited. These levels often harbor resting liquidity (Stop Losses, Buy/Sell Stops) and act as magnets for market makers. How it works: Detection: The script identifies significant Pivot Points based on your customizable length settings. Visualization: It draws a line extending forward from the pivot, labeled with the exact Price and the Volume generated at that specific swing. Mitigation Logic: The moment price "sweeps" or touches a level, the script treats the liquidity as "collected" and automatically removes the line and label from the chart. This keeps your workspace clean and focused only on active targets. Key Features: Dynamic Cleanup: Old levels are removed instantly upon testing. No chart clutter. Volume Context: Displays the volume (formatted as K/M/B) of the pivot candle. This helps you distinguish between weak structure and strong institutional levels. High Visibility: customizable bold lines and clear labels with backgrounds, designed to be visible on any chart theme. Performance: Optimized using Pine Script v6 arrays to handle hundreds of levels without lag. How to trade with this: Targets: Use the opposing liquidity pools (Green lines for shorts, Red lines for longs) as high-probability Take Profit levels. Reversals (Turtle Soup): Wait for price to sweep a bold liquidity line. If price aggressively reverses after taking the line, it indicates a "Liquidity Grab" setup. Magnets: Price tends to gravitate toward "old" unmitigated levels. Settings: Pivot Length: Sensitivity of the swing detection (default: 20). Higher values find more significant/long-term levels. Limit: Maximum number of active lines to prevent memory overload. Visuals: Toggle Price/Volume labels, adjust line thickness and text size.
Indicador Pine Script®
por tikkiwiki_crypto
Simple Candle Strategy# Candle Pattern Strategy - Pine Script V6 ## Overview A TradingView trading strategy script (Pine Script V6) that identifies candlestick patterns over a configurable lookback period and generates trading signals based on pattern recognition rules. ## Strategy Logic The strategy analyzes the most recent N candlesticks (default: 5) and classifies their patterns into three categories, then generates buy/sell signals based on specific pattern combinations. ### Candlestick Pattern Classification Each candlestick is classified as one of three types: | Pattern | Definition | Formula | |---------|-----------|---------| | **Close at High** | Close price near the highest price of the candle | `(high - close) / (high - low) ≤ (1 - threshold)` | | **Close at Low** | Close price near the lowest price of the candle | `(close - low) / (high - low) ≤ (1 - threshold)` | | **Doji** | Opening and closing prices very close; long upper/lower wicks | `abs(close - open) / (high - low) ≤ threshold` | ### Trading Rules | Condition | Action | Signal | |-----------|--------|--------| | Number of Doji candles ≥ 3 | **SKIP** - Market is too chaotic | No trade | | "Close at High" count ≥ 2 + Last candle closes at high | **LONG** - Bullish confirmation | Buy Signal | | "Close at Low" count ≥ 2 + Last candle closes at low | **SHORT** - Bearish confirmation | Sell Signal | ## Configuration Parameters All parameters are adjustable in TradingView's "Settings/Inputs" tab: | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | **K-line Lookback Period** | 5 | 3-20 | Number of candlesticks to analyze | | **Doji Threshold** | 0.1 | 0.0-1.0 | Body size / Total range ratio for doji identification | | **Doji Count Limit** | 3 | 1-10 | Number of dojis that triggers skip signal | | **Close at High Proximity** | 0.9 | 0.5-1.0 | Required proximity to highest price (0.9 = 90%) | | **Close at Low Proximity** | 0.9 | 0.5-1.0 | Required proximity to lowest price (0.9 = 90%) | ### Parameter Tuning Guide #### Proximity Thresholds (Close at High/Low) - **0.95 or higher**: Stricter - only very strong candles qualify - **0.90 (default)**: Balanced - good for most market conditions - **0.80 or lower**: Looser - catches more patterns, higher false signals #### Doji Threshold - **0.05-0.10**: Strict doji identification - **0.10-0.15**: Standard doji detection - **0.15+**: Includes near-doji patterns #### Lookback Period - **3-5 bars**: Fast, sensitive to recent patterns - **5-10 bars**: Balanced approach - **10-20 bars**: Slower, filters out noise ## Visual Indicators ### Chart Markers - **Green Up Arrow** ▲: Long entry signal triggered - **Red Down Arrow** ▼: Short entry signal triggered - **Gray X**: Skip signal (too many dojis detected) ### Statistics Table Located at top-right corner, displays real-time pattern counts: - **Close at High**: Count of candles closing near the high - **Close at Low**: Count of candles closing near the low - **Doji**: Count of doji/near-doji patterns ### Signal Labels - Green label: "✓ Long condition met" - below entry bar - Red label: "✓ Short condition met" - above entry bar - Gray label: "⊠ Too many dojis, skip" - trade skipped ## Risk Management ### Exit Strategy The strategy includes built-in exit rules based on ATR (Average True Range): - **Stop Loss**: ATR × 2 - **Take Profit**: ATR × 3 Example: If ATR is $10, stop loss is at -$20 and take profit is at +$30 ### Position Sizing Default: 100% of equity per trade (adjustable in strategy properties) **Recommendation**: Reduce to 10-25% of equity for safer capital allocation ## How to Use ### 1. Copy the Script 1. Open TradingView 2. Go to Pine Script Editor 3. Create a new indicator 4. Copy the entire `candle_pattern_strategy.pine` content 5. Click "Add to Chart" ### 2. Apply to Chart - Select your preferred timeframe (1m, 5m, 15m, 1h, 4h, 1d) - Choose a trading symbol (stocks, forex, crypto, etc.) - The strategy will generate signals on all historical bars and in real-time ### 3. Configure Parameters 1. Right-click the strategy on chart → "Settings" 2. Adjust parameters in the "Inputs" tab 3. Strategy will recalculate automatically 4. Backtest results appear in the Strategy Tester panel ### 4. Backtesting 1. Click "Strategy Tester" (bottom panel) 2. Set date range for historical testing 3. Review performance metrics: - Win rate - Profit factor - Drawdown - Total returns ## Key Features ✅ **Execution Model Compliant** - Follows official Pine Script V6 standards ✅ **Global Scope** - All historical references in global scope for consistency ✅ **Adjustable Sensitivity** - Fine-tune all pattern detection thresholds ✅ **Real-time Updates** - Works on both historical and real-time bars ✅ **Visual Feedback** - Clear signals with labels and statistics table ✅ **Risk Management** - Built-in ATR-based stop loss and take profit ✅ **No Repainting** - Signals remain consistent after bar closes ## Important Notes ### Before Trading Live 1. **Backtest thoroughly**: Test on at least 6-12 months of historical data 2. **Paper trading first**: Practice with simulated trades 3. **Optimize parameters**: Find the best settings for your trading instrument 4. **Manage risk**: Never risk more than 1-2% per trade 5. **Monitor performance**: Review trades regularly and adjust as needed ### Market Conditions The strategy works best in: - Trending markets with clear directional bias - Range-bound markets with defined support/resistance - Markets with moderate volatility The strategy may underperform in: - Highly choppy/noisy markets (many false signals) - Markets with gaps or overnight gaps - Low liquidity periods ### Limitations - Works on chart timeframes only (not intrabar analysis) - Requires at least 5 bars of history (configurable) - Fixed exit rules may not suit all trading styles - No trend filtering (will trade both directions) ## Technical Details ### Historical Buffer Management The strategy declares maximum bars back to ensure enough historical data: ```pine max_bars_back(close, 20) max_bars_back(open, 20) max_bars_back(high, 20) max_bars_back(low, 20) ``` This prevents runtime errors when accessing historical candlestick data. ### Pattern Detection Algorithm ``` For each bar in lookback period: 1. Calculate (high - close) / (high - low) → close_to_high_ratio 2. If close_to_high_ratio ≤ (1 - threshold) → count as "Close at High" 3. Calculate (close - low) / (high - low) → close_to_low_ratio 4. If close_to_low_ratio ≤ (1 - threshold) → count as "Close at Low" 5. Calculate abs(close - open) / (high - low) → body_ratio 6. If body_ratio ≤ doji_threshold → count as "Doji" Signal Generation: 7. If doji_count ≥ cross_count_limit → SKIP_SIGNAL 8. If close_at_high_count ≥ 2 AND last_close_at_high → LONG_SIGNAL 9. If close_at_low_count ≥ 2 AND last_close_at_low → SHORT_SIGNAL ``` ## Example Scenarios ### Scenario 1: Bullish Signal ``` Last 5 bars pattern: Bar 1: Closes at high (95%) ✓ Bar 2: Closes at high (92%) ✓ Bar 3: Closes at mid (50%) Bar 4: Closes at low (10%) Bar 5: Closes at high (96%) ✓ (last bar) Result: - Close at high count: 3 (≥ 2) ✓ - Last closes at high: ✓ - Doji count: 0 (< 3) ✓ → LONG SIGNAL ✓ ``` ### Scenario 2: Skip Signal ``` Last 5 bars pattern: Bar 1: Doji pattern ✓ Bar 2: Doji pattern ✓ Bar 3: Closes at mid Bar 4: Doji pattern ✓ Bar 5: Closes at high Result: - Doji count: 3 (≥ 3) → SKIP SIGNAL - Market too chaotic ``` ## Performance Optimization ### Tips for Better Results 1. **Use Higher Timeframes**: 15m or higher reduces false signals 2. **Combine with Indicators**: Add volume or trend filters 3. **Seasonal Adjustment**: Different parameters for different seasons 4. **Instrument Selection**: Test on liquid, high-volume instruments 5. **Regular Rebalancing**: Adjust parameters quarterly based on performance ## Troubleshooting ### No Signals Generated - Check if lookback period is too large - Verify proximity thresholds aren't too strict (try 0.85 instead of 0.95) - Ensure doji limit allows for trading (try 4-5 instead of 3) ### Too Many False Signals - Increase proximity thresholds to 0.95+ - Reduce lookback period to 3-4 bars - Increase doji limit to 3-4 - Test on higher timeframes ### Strategy Tester Shows Losses - Review individual trades to identify patterns - Adjust stop loss and take profit ratios - Change lookback period and thresholds - Test on different market conditions ## References - (www.tradingview.com) - (www.tradingview.com) - (www.investopedia.com) - (www.investopedia.com) ## Disclaimer **This strategy is provided for educational and research purposes only.** - Not financial advice - Past performance does not guarantee future results - Always conduct thorough backtesting before live trading - Trading involves significant risk of loss - Use proper risk management and position sizing ## License Created: December 15, 2025 Version: 1.0 --- **For updates and modifications, refer to the accompanying documentation files.**
Estrategia Pine Script®
por masteraux101
Backtest any Indicator [Target Mode] StrategyUniversal Backtester Strategy with Sequential Logic This strategy serves as a highly versatile, universal backtesting engine designed to test virtually any indicator-based trading system without requiring custom code for every new idea. It transforms standard indicator comparisons into a robust trading strategy with advanced features like sequential entry steps, dynamic target modes, and automated webhook alerts. The core philosophy of this script is flexibility. Whether you are testing simple crossovers (e.g., MA Cross) or complex multi-stage setups (e.g., RSI overbought followed by a MACD flip), this tool allows you to configure logic via the settings panel and immediately see backtested results with professional-grade risk management. Core Logic: Source vs. Target Mode The fundamental building block of this strategy is the "Comparator" engine. Instead of hard-coding specific indicators, the script allows users to define logic slots (L1-L5 for Longs, S1-S5 for Shorts). Each slot operates on a flexible comparison logic: Source: The primary indicator you are testing (e.g., Close Price, RSI, Volume). Operator: The condition to check (Equal/Cross, Greater Than, Less Than). Target Mode: Value Mode: Compares the Source against a fixed number (e.g., RSI > 70). Source Mode: Compares the Source against another dynamic indicator (e.g., Close > SMA 200). This "Target Mode" switch allows the strategy to adapt to almost any technical analysis concept, from oscillator levels to moving average trends. Advanced Entry System: Sequential Steps (1-5) Unlike standard backtesters that usually require all conditions to happen simultaneously (AND logic), this strategy implements a State Machine for sequential execution. Each of the 5 entry slots (L1-L5 / S1-S5) is assigned a "Step" number. The logic flows as follows: Stage 1: The strategy waits for all conditions assigned to "Step 1" to be true. Latch & Wait: Once Step 1 is met, the strategy "remembers" this and advances to Stage 2. It waits for a subsequent bar to satisfy Step 2 conditions. Trigger: The actual trade entry is only executed once the highest assigned step is completed. Example Use Case: Step 1: Price closes below the Lower Bollinger Band (Dip). Step 2: RSI crosses back above 30 (Confirmation). Execution: Buy Signal triggers on the Step 2 confirmation candle. This creates a realistic "Setup -> Trigger" workflow common in professional trading, preventing premature entries. Exit Logic & Risk Management The strategy employs a dual-layer exit system to maximize profit retention and protect capital. 1. Signal-Based Exits (OR Logic) There are 5 configurable exit slots (LX1-LX5 / SX1-SX5). Unlike entries, these operate on "OR" logic. If any enabled exit condition is met (e.g., RSI becomes overbought OR Price crosses below EMA), the position is closed immediately. 2. Hard Stop & Take Profit Fixed %: Users can set a hard percentage-based Stop Loss and Take Profit. Trailing Stop: A toggleable "Trailing?" feature allows the Stop Loss to dynamically trail the price. Longs: The SL moves up as the price makes new highs. Shorts: The SL moves down as the price makes new lows. Automated Alerts & Webhooks This script is built with automation in mind. It includes a dedicated makeJson() function that constructs a JSON payload compatible with most trading bots (e.g., 3Commas, TradersPost, Tealstreet). Alert Modes Supported: | Alert Type | Description | | :--- | :--- | | Order Fills Only | Triggers standard TradingView strategy alerts when the broker emulator fills an order. | | Alert() Function | Triggers specific JSON payloads defined in the code ("action": "buy", "ticker": "MNQ", etc.). | The script automatically calculates the alert quantity based on your equity percentage settings, ensuring the payload matches your backtest sizing. Dashboard & Visuals To aid in rapid analysis, the strategy includes visual tools directly on the chart: Performance Table: A dashboard (top-right) displays real-time stats including Net Profit, Win Rate, Profit Factor, and Max Drawdown. Trade Markers: Custom labels (goLong, exLong) show exactly where trades opened and closed, including the trade number and profit percentage. SL/TP Visualization: Dynamic step-lines (Orange for SL, Lime for TP) show exactly where your protection levels are sitting, helping you visually verify if your stops are too tight or too loose.
Estrategia Pine Script®
por jegbejimba
Index Construction Tool🙏🏻 The most natural mathematical way to construct an index || portfolio, based on contraharmonic mean || contraharmonic weighting. If you currently traded assets do not satisfy you, why not make your own ones? Contraharmonic mean is literally a weighted mean where each value is weighted by itself. ... Now let me explain to you why contraharmonic weighting is really so fundamental in two ways: observation how the industry (prolly unknowably) converged to this method, and the real mathematical explanation why things are this way. How it works in the industry. In indexes like TVC:SPX or TVC:DJI the individual components (stocks) are weighted by market capitalization. This market cap is made of two components: number of shares outstanding and the actual price of the stock. While the number of shares holds the same over really long periods of time and changes rarely by corporate actions , the prices change all the time, so market cap is in fact almost purely based on prices itself. So when they weight index legs by market cap, it really means they weight it by stock prices. That’s the observation: even tho I never dem saying they do contraharmonic weighting, that’s what happens in reality. Natural explanation Now the main part: how the universe works. If you build a logical sequence of how information ‘gradually’ combines, you have this: Suppose you have the one last datapoint of each of 4 different assets; The next logical step is to combine these datapoints somehow in pairs. Pairs are created only as ratios , this reveals relationships between components, this is the only step where these fundamental operations are meaningful, they lose meaning with 3+ components. This way we will have 16 pairs: 4 of them would be 1s, 6 real ratios, and 6 more inverted ratios of these; Then the next logical step is to combine all the pairs (not the initial single assets) all together. Naturally this is done via matrices, by constructing a 4x4 design matrix where each cell will be one of these 16 pairs. That matrix will have ones in the main diagonal (because these would be smth like ES/ES, NQ/NQ etc). Other cells will be actual ratios, like ES/NQ, RTY/YM etc; Then the native way to compress and summarize all this structure is to do eigendecomposition . The only eigenvector that would be meaningful in this case is the principal eigenvector, and its loadings would be what we were hunting for. We can multiply each asset datapoint by corresponding loading, sum them up and have one single index value, what we were aiming for; Now the main catch: turns out using these principal eigenvector loadings mathematically is Exactly the same as simply calculating contraharmonic weights of those 4 initial assets. We’re done here. For the sceptics, no other way of constructing the design matrix other than with ratios would result in another type of a defined mean. Filling that design matrix with ratios Is the only way to obtain a meaningful defined mean, that would also work with negative numbers. I’m skipping a couple of details there tbh, but they don’t really matter (we don’t need log-space, and anyways the idea holds even then). But the core idea is this: only contraharmonic mean emerges there, no other mean ever does. Finally, how to use the thing: Good news we don't use contraharmonic mean itself because we need an internals of it: actual weights of components that make this contraharmonic mean, (so we can follow it with our position sizes). This actually allows us to also use these weights but not for addition, but for subtraction. So, the script has 2 modes (examples would follow): Addition: the main one, allows you to make indexes, portfolios, baskets, groups, whatever you call it. The script will simply sum the weighted legs; Subtraction: allows you to make spreads, residual spreads etc. Important: the script will subtract all the symbols From the first one. So if the first we have 3 symbols: YM, ES, RTY, the script will do YM - ES - RTY, weights would be applied to each. At the top tight corner of the script you will see a lil table with symbols and corresponding weights you wanna trade: these are ‘already’ adjusted for point value of each leg, you don’t need to do anything, only scale them all together to meet your risk profile. Symbols have to be added the way the default ones are added, one line : one symbol. Pls explore the script’s Style setting: You can pick a visualization method you like ! including overlays on the main chart pane ! Script also outputs inferred volume delta, inferred volume and inferred tick count calculated with the same method. You can use them in further calculations. ... Examples of how you can use it ^^ Purple dotted line: overlay from ICT script, turned on in Style settings, the contraharmonic mean itself calculated from the same assets that are on the chart: CME_MINI:RTY1! , CME_MINI:ES1! , CME_MINI:NQ1! , CBOT_MINI:YM1! ^^ precious metals residual spread ( COMEX:GC1! COMEX:SI1! NYMEX:PL1! ) ^^ CBOT:ZC1! vs CBOT:ZW1! grain spread ^^ BDI (Bid Dope Index), constructed from: NYSE:MO , NYSE:TPB , NYSE:DGX , NASDAQ:JAZZ , NYSE:IIPR , NASDAQ:CRON , OTC:CURLF , OTC:TCNNF ^^ NYMEX:CL1! & ICEEUR:BRN1! basket ^^ resulting index price, inferred volume delta, inferred volume and inferred tick count of CME_MINI:NQ1! vs CME_MINI:ES1! spread ... Synthetic assets is the whole new Universe you can jump into and never look back, if this is your way ... ∞
Indicador Pine Script®
por gorx1
Seasonality Scanner by thedatalayers.comThe Seasonality Scanner automatically detects seasonal patterns by scanning a user-defined number of past years (e.g., the last 10 years). Based on this historical window, the indicator identifies the strongest seasonal tendency for the currently selected date range. The scanner evaluates all valid seasonal windows using two filters: • Hit Rate - the percentage of profitable years • Average Return - the highest mean performance across the analyzed period The best-scoring seasonal setup is displayed directly on the chart, including the exact start and end dates of the identified pattern for the chosen time range. Users can define the period they want to analyze, and the indicator will automatically determine which seasonal window performed best over the selected history. Recommended Settings (Standard Use) For optimal and consistent results, the following settings are recommended: • Search Window: 20-30 • Minimum Length: 5 • Time Period: from 2015 onward • US Election Cycle: All Years These settings provide a balanced and reliable baseline to detect meaningful seasonal tendencies across markets. This indicator helps traders understand when recurring seasonal patterns typically occur and how they may align with ongoing market conditions. This indicator is intended to be used exclusively on the daily timeframe, as all calculations are based on daily candles. Using it on lower timeframes may result in inaccurate or misleading seasonal readings.
Indicador Pine Script®
por TheDataLayers
Seasonality Calculation Tool by thedatalayers.comThe Seasonality Calculation Tool is designed to analyze and evaluate the strength of any seasonal pattern detected by the Seasonality Indicator. While the Seasonality Indicator displays the historical seasonal curve, this tool goes one step further by examining how reliable and consistent that curve truly is. The tool checks whether a seasonal pattern is strong, distorted by a few outlier years, or statistically meaningful. It calculates the average return within the selected seasonal window and highlights how accurate or robust the pattern has been over the evaluated period. To support manual confirmation and deeper analysis, the tool also visualizes the seasonal windows directly on the chart. This allows traders to review past occurrences and backtest the pattern themselves to validate the quality of the signal. The Seasonality Calculation Tool is an ideal complement to the main Seasonality Indicator, helping traders identify high-quality, data-driven seasonal tendencies and avoid misleading or weak seasonal patterns. This script is intended to be used exclusively on the daily timeframe, as all calculations rely on daily candle data. The settings are intuitive and easy to adjust, allowing users to quickly evaluate any seasonal window displayed by the Seasonality Indicator.
Indicador Pine Script®
por TheDataLayers
Seasonality by thedatalayers.comThe Seasonality Indicator calculates the average historical performance of the currently selected asset by analyzing a user-defined number of past years (e.g., the last 10 years). The number of years included in the calculation can be adjusted directly in the settings panel. Based on this historical window, the indicator creates an average seasonal curve, which represents how the market typically behaved during each part of the year. This averaged curve acts as a forecast for the upcoming months, highlighting periods where the market has shown a consistent tendency in the past. Traders can use this seasonal projection to identify times of higher statistical likelihood for upward or downward movement. The indicator works especially well when combined with the Seasonality Analysis Tool, which helps identify specific historical windows and strengthens overall seasonal decision-making. This indicator must be used exclusively on the daily timeframe, as all calculations are based on daily candle data. Other timeframes will not display accurate seasonal structures. The Seasonality Indicator provides a clear, data-driven view of recurring annual patterns and allows traders to better understand when historical tendencies may influence future price action.
Indicador Pine Script®
por TheDataLayers