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RSI Forecast Colorful [DiFlip]RSI Forecast Colorful Introducing one of the most complete RSI indicators available — a highly customizable analytical tool that integrates advanced prediction capabilities. RSI Forecast Colorful is an evolution of the classic RSI, designed to anticipate potential future RSI movements using linear regression. Instead of simply reacting to historical data, this indicator provides a statistical projection of the RSI’s future behavior, offering a forward-looking view of market conditions. ⯁ Real-Time RSI Forecasting For the first time, a public RSI indicator integrates linear regression (least squares method) to forecast the RSI’s future behavior. This innovative approach allows traders to anticipate market movements based on historical trends. By applying Linear Regression to the RSI, the indicator displays a projected trendline n periods ahead, helping traders make more informed buy or sell decisions. ⯁ Highly Customizable The indicator is fully adaptable to any trading style. Dozens of parameters can be optimized to match your system. All 28 long and short entry conditions are selectable and configurable, allowing the construction of quantitative, statistical, and automated trading models. Full control over signals ensures precise alignment with your strategy. ⯁ Innovative and Science-Based This is the first public RSI indicator to apply least-squares predictive modeling to RSI calculations. Technically, it incorporates machine-learning logic into a classic indicator. Using Linear Regression embeds strong statistical foundations into RSI forecasting, making this tool especially valuable for traders seeking quantitative and analytical advantages. ⯁ Scientific Foundation: Linear Regression Linear regression is a fundamental statistical method that models the relationship between a dependent variable y and one or more independent variables x. The general formula for simple linear regression is: y = β₀ + β₁x + ε where: y  = predicted variable (e.g., future RSI value) x  = explanatory variable (e.g., bar index or time) β₀ = intercept (value of y when x = 0) β₁ = slope (rate of change of y relative to x) ε   = random error term The goal is to estimate β₀ and β₁ by minimizing the sum of squared errors. This is achieved using the least squares method, ensuring the best linear fit to historical data. Once the coefficients are calculated, the model extends the regression line forward, generating the RSI projection based on recent trends. ⯁ Least Squares Estimation To minimize the error between predicted and observed values, we use the formulas: β₁ = Σ((xᵢ - x̄)(yᵢ - ȳ)) / Σ((xᵢ - x̄)²) β₀ = ȳ - β₁x̄ Σ denotes summation; x̄ and ȳ are the means of x and y; and i ranges from 1 to n (number of observations). These equations produce the best linear unbiased estimator under the Gauss–Markov assumptions — constant variance (homoscedasticity) and a linear relationship between variables. ⯁ Linear Regression in Machine Learning Linear regression is a foundational component of supervised learning. Its simplicity and precision in numerical prediction make it essential in AI, predictive algorithms, and time-series forecasting. Applying regression to RSI is akin to embedding artificial intelligence inside a classic indicator, adding a new analytical dimension. ⯁ Visual Interpretation Imagine a time series of RSI values like this: Time → RSI    → The regression line smooths these historical values and projects itself n periods forward, creating a predictive trajectory. This projected RSI line can cross the actual RSI, generating sophisticated entry and exit signals. In summary, the RSI Forecast Colorful indicator provides both the current RSI and the forecasted RSI, allowing comparison between past and future trend behavior. ⯁ Summary of Scientific Concepts Used Linear Regression: Models relationships between variables using a straight line. Least Squares: Minimizes squared prediction errors for optimal fit. Time-Series Forecasting: Predicts future values from historical patterns. Supervised Learning: Predictive modeling based on known output values. Statistical Smoothing: Reduces noise to highlight underlying trends. ⯁ Why This Indicator Is Revolutionary Scientifically grounded: Built on statistical and mathematical theory. First of its kind: The first public RSI with least-squares predictive modeling. Intelligent: Incorporates machine-learning logic into RSI interpretation. Forward-looking: Generates predictive, not just reactive, signals. Customizable: Exceptionally flexible for any strategic framework. ⯁ Conclusion By combining RSI and linear regression, the RSI Forecast Colorful allows traders to predict market momentum rather than simply follow it. It's not just another indicator: it's a scientific advancement in technical analysis technology. Offering 28 configurable entry conditions and advanced signals, this open-source indicator paves the way for innovative quantitative systems. ⯁ Example of simple linear regression with one independent variable This example demonstrates how a basic linear regression works when there is only one independent variable influencing the dependent variable. This type of model is used to identify a direct relationship between two variables. ⯁ In linear regression, observations (red) are considered the result of random deviations (green) from an underlying relationship (blue) between a dependent variable (y) and an independent variable (x) This concept illustrates that sampled data points rarely align perfectly with the true trend line. Instead, each observed point represents the combination of the true underlying relationship and a random error component. ⯁ Visualizing heteroscedasticity in a scatterplot with 100 random fitted values using Matlab Heteroscedasticity occurs when the variance of the errors is not constant across the range of fitted values. This visualization highlights how the spread of data can change unpredictably, which is an important factor in evaluating the validity of regression models. ⯁ The datasets in Anscombe’s quartet were designed to have nearly the same linear regression line (as well as nearly identical means, standard deviations, and correlations) but look very different when plotted This classic example shows that summary statistics alone can be misleading. Even with identical numerical metrics, the datasets display completely different patterns, emphasizing the importance of visual inspection when interpreting a model. ⯁ Result of fitting a set of data points with a quadratic function This example illustrates how a second-degree polynomial model can better fit certain datasets that do not follow a linear trend. The resulting curve reflects the true shape of the data more accurately than a straight line. ⯁ What Is RSI? The RSI (Relative Strength Index) is a technical indicator developed by J. Welles Wilder. It measures the velocity and magnitude of recent price movements to identify overbought and oversold conditions. The RSI ranges from 0 to 100 and is commonly used to identify potential reversals and evaluate trend strength. ⯁ How RSI Works RSI is calculated from average gains and losses over a set period (commonly 14 bars) and plotted on a 0–100 scale. It consists of three key zones: Overbought: RSI above 70 may signal an overbought market. Oversold: RSI below 30 may signal an oversold market. Neutral Zone: RSI between 30 and 70, indicating no extreme condition. These zones help identify potential price reversals and confirm trend strength. ⯁ Entry Conditions All conditions below are fully customizable and allow detailed control over entry signal creation. 📈 BUY 🧲 Signal Validity: Signal remains valid for X bars. 🧲 Signal Logic: Configurable using AND or OR. 🧲 RSI > Upper 🧲 RSI < Upper 🧲 RSI > Lower 🧲 RSI < Lower 🧲 RSI > Middle 🧲 RSI < Middle 🧲 RSI > MA 🧲 RSI < MA 🧲 MA > Upper 🧲 MA < Upper 🧲 MA > Lower 🧲 MA < Lower 🧲 RSI (Crossover) Upper 🧲 RSI (Crossunder) Upper 🧲 RSI (Crossover) Lower 🧲 RSI (Crossunder) Lower 🧲 RSI (Crossover) Middle 🧲 RSI (Crossunder) Middle 🧲 RSI (Crossover) MA 🧲 RSI (Crossunder) MA 🧲 MA (Crossover)Upper 🧲 MA (Crossunder)Upper 🧲 MA (Crossover) Lower 🧲 MA (Crossunder) Lower 🧲 RSI Bullish Divergence 🧲 RSI Bearish Divergence 🔮 RSI (Crossover) Forecast MA 🔮 RSI (Crossunder) Forecast MA 📉 SELL 🧲 Signal Validity: Signal remains valid for X bars. 🧲 Signal Logic: Configurable using AND or OR. 🧲 RSI > Upper 🧲 RSI < Upper 🧲 RSI > Lower 🧲 RSI < Lower 🧲 RSI > Middle 🧲 RSI < Middle 🧲 RSI > MA 🧲 RSI < MA 🧲 MA > Upper 🧲 MA < Upper 🧲 MA > Lower 🧲 MA < Lower 🧲 RSI (Crossover) Upper 🧲 RSI (Crossunder) Upper 🧲 RSI (Crossover) Lower 🧲 RSI (Crossunder) Lower 🧲 RSI (Crossover) Middle 🧲 RSI (Crossunder) Middle 🧲 RSI (Crossover) MA 🧲 RSI (Crossunder) MA 🧲 MA (Crossover)Upper 🧲 MA (Crossunder)Upper 🧲 MA (Crossover) Lower 🧲 MA (Crossunder) Lower 🧲 RSI Bullish Divergence 🧲 RSI Bearish Divergence 🔮 RSI (Crossover) Forecast MA 🔮 RSI (Crossunder) Forecast MA 🤖 Automation All BUY and SELL conditions can be automated using TradingView alerts. Every configurable condition can trigger alerts suitable for fully automated or semi-automated strategies. ⯁ Unique Features Linear Regression Forecast Signal Validity: Keep signals active for X bars Signal Logic: AND/OR configuration Condition Table: BUY/SELL Condition Labels: BUY/SELL Chart Labels: BUY/SELL markers above price Automation & Alerts: BUY/SELL Background Colors: bgcolor Fill Colors: fill Linear Regression Forecast Signal Validity: Keep signals active for X bars Signal Logic: AND/OR configuration Condition Table: BUY/SELL Condition Labels: BUY/SELL Chart Labels: BUY/SELL markers above price Automation & Alerts: BUY/SELL Background Colors: bgcolor Fill Colors: fill
Pine Script®指標
由DiFlip提供
Hamaada RangeThis indicator plots the Daily DR/IDR range (19:30–23:00 NY) for each weekday, Monday to Friday. It automatically draws the Daily Range (DR) and Initial Daily Range (IDR) highs, lows, midlines, and opening price. Each day’s DR/IDR box extends into the following session for clarity and projection. All lines and colors are fully customizable per-day. Tracks 3-bar swings after the DR window closes. Automatically detects when price violates the DR high or low. Draws a “Swing Violation Line” from the last valid swing to the end of the extension period. Friday DR extends to next Monday and supports cross-week swing violation detection. Background shading, labels, and opening lines are optional. Designed for precision session modeling in NY timezone (America/New_York recommended).
Pine Script®指標
由shariff09z提供
Defended Price Levels (DPLs) — Melvin Dickover ConceptThis indicator identifies and draws horizontal “Defended Price Levels” (DPLs) exactly as originally described by Melvin E. Dickover in his trading methodology. Dickover observed that when extreme relative volume and extreme “freedom of movement” (volume-to-price-movement ratio) occur on the same bar, especially on bars with large gaps or unusually large bodies, the closing price (or previous close) of that bar very often becomes a significant future support/resistance level that the market later “defends.” This script automates the detection of those exact coincident spikes using two well-known public indicators: Relative Volume (RVI) • Original idea: Melvin Dickover • Pine Script implementation used here: “Relative Volume Indicator (Freedom Of Movement)” by LazyBear Link: Freedom of Movement (FoM) • Original idea and calculation: starbolt64 • Pine Script: “Freedom of Movement” by starbolt64 Link: How this indicator works Calculates the raw (possibly negative) LazyBear RVI and starbolt64’s exact FoM values Normalizes and standardizes both over the user-defined lookback Triggers only when both RVI and FoM exceed the chosen number of standard deviations on the same bar (true Dickover coincident-spike condition) Applies Dickover’s original price-selection rules (uses current close on big gaps or 2× body expansion candles, otherwise previous close) Draws a thin maroon horizontal ray only when the new level is sufficiently far from all previously drawn levels (default ≥0.8 %) and the maximum number of levels has not been reached Keeps the chart clean by limiting the total number of significant defended levels shown This is not a republish or minor variation of the two source scripts — it is a faithful automation of Melvin Dickover’s specific “defended price line” concept that he manually marked using the coincidence of these two indicators. Full credit goes to: Melvin E. Dickover — creator of the Defended Price Levels concept LazyBear — author of the Relative Volume (RVI) implementation used here starbolt64 — author of the Freedom of Movement indicator and calculation Settings (all adjustable): Standard Deviation Length (default 60) Spike Threshold in standard deviations (default 2.0) Minimum distance between levels in % (default 0.8 %) Maximum significant levels to display (15–80) Use these horizontal maroon lines as potential future support/resistance zones that the market has previously shown strong willingness to defend. Thank you to Melvin, LazyBear, and starbolt64 for the original work that made this automation possible.
Pine Script®指標
由MonkeyPhone提供
Wavelet Alligator – Separate Entry/Exit Experts & Wavelets-V2 Wavelet Alligator – Strategy Explanation & How to Use 1. Concept Overview The Wavelet Alligator strategy combines: - Wavelet transforms (Daubechies, Haar, Symlet, Mexican Hat, Morlet) - Fractional calculus kernels: Caputo-Fabrizio (CF) and Atangana-Baleanu (AB) - Three-layer “alligator-like” wavelet smoothing (soft → medium → strong) - Expert-based entry/exit routing (RAW, CF, AB, or Majority vote) - Independent wavelets for ENTRY and EXIT - Main trend defined by AB wavelet ordering This creates a multi-structure, multi-kernel trend engine capable of capturing extended moves with high signal quality. 2. Wavelet Alligator Structure Each source (RAW, CF, AB) is transformed into three wavelet layers: Soft = fastest reaction Medium = mid smoothing Strong = trend backbone Wavelets: - Daubechies: stable trend - Haar: fast impulse detection - Symlet: balanced - Mexican Hat: curvature and reversal detection - Morlet: cyclic, oscillatory 3. Entry Logic Long entry occurs when: - AB wavelet shows bullish structure (soft > medium > strong, medium rising) - Selected entry expert approves (RAW / CF / AB / Majority) - Wavelet condition: soft > strong AND medium crosses above strong 4. Exit Logic Exit is independent from entry: - Controlled by chosen exit expert - Wavelet reversal condition: soft < strong AND medium crosses below strong - Forced exit when AB trend turns neutral or bearish 5. Background Color (Regime) - Green: bullish AB regime - Red: bearish AB regime - Gray: neutral/transition 6. How to Use Step 1 – Choose entry wavelet Daubechies: stable trend Haar: breakout scalping Mexican Hat: early reversals Symlet: balanced Morlet: cyclic markets Step 2 – Choose exit wavelet Mexican Hat: best precision Daubechies: smooth exits Haar: aggressive exits Step 3 – Select entry/exit experts CF only – fast fractional trend AB only – stable long-memory trend RAW only – pure price structure Majority – safest, noise-filtered Step 4 – Run the strategy Entries occur only during AB bullish trend. Exits occur on wavelet reversal or AB trend failure. 7. Why This Strategy Works It fuses: - Fractional calculus (memory) - Wavelets (shape/curvature) - Alligator ordering (trend hierarchy) Result: high-quality entries, strong trend holding, noise-resistant signals.
Pine Script®策略
由wojlucz提供
Volume-Confirmed FTR Zones [AlgoPoint]FTR Zone Indicator — Fail To Return Zones (With Volume Confirmation) Advanced Smart Money Zone Detection for Institutional Orderflow The FTR Zone Indicator is a professional-grade tool designed for traders who follow Smart Money Concepts (SMC), ICT methodologies, or institutional orderflow. It automatically detects Fail To Return Zones (FTR) — high-probability supply and demand areas formed after strong displacement moves. By combining impulse detection, base identification, and volume confirmation, this indicator highlights zones where price is most likely to react, reverse, or mitigate shortly after structure breaks. ⸻ ⭐ What Are FTR Zones? FTR zones (Fail To Return zones) are price areas where: 1. A strong displacement / impulse candle is formed 2. That impulse originates from a small consolidation (base) 3. Price moves away aggressively 4. AND fails to return immediately to the origin area These zones often indicate: • Institutional orders • Imbalance • Hidden liquidity • Origin of a trend leg • High-probability mitigation points This indicator fully automates the detection and visualization of such areas. 🔍 How the Indicator Works 1. Impulse Detection The indicator identifies a valid impulse candle using: • ATR-based bar range filter • Trend-aligned candle body direction • Optional volume confirmation Only large, meaningful institutional candles qualify — filtering out noise. 2. Base Zone Identification Before every impulse, the tool finds the micro-consolidation base using: • Highest high of the last X bars • Lowest low of the last X bars This base becomes the potential FTR zone. 3. FTR Zone Creation When a valid impulse is detected: • Bullish impulse → Demand FTR zone • Bearish impulse → Supply FTR zone The zone is immediately drawn on the chart using box.new(). 4. Zone Extension Every zone continuously extends to the right as price evolves, allowing you to track: • Mitigation • Retests • Reaction points • Liquidity sweeps 5. Invalidation Logic Zones automatically delete when violated: • Demand zone invalid if close < zone low • Supply zone invalid if close > zone high This keeps the chart clean and helps focus only on active, high-value areas. 🎛️ Key Features ✔ Automatic FTR Zone Detection Instantly identifies institutional origin zones based on real impulse and displacement. ✔ Volume-Based Filtering Ensures only high-volume impulses (true institutional orders) create zones. ✔ Supply & Demand Coloring • Bullish FTR → Demand Zone (Teal tone) • Bearish FTR → Supply Zone (Red tone) ✔ Safe Zone Storage Fault-tolerant logic ensures no array errors, invalid zones, or broken visuals. ✔ Auto-Extending Boxes Real-time zone updates with precise historical mapping. ✔ Smart Invalidation Zone is removed only when fully broken, preventing false signals. ✔ Clean, Non-Repainting Logic Impulse detection and zone placement are confirmed only on bar close. 📈 How to Use It (Example Schenarios) For Reversals or Continuations • Look for price reacting or mitigating inside a zone • Use as entry confirmation in trend continuations • Combine with FVG, BOS/CHOCH, liquidity sweeps, or premium/discount zones For Scalping or Intraday Trading • High-probability countertrend entries • Reaction-based setups at institutional footprints For Swing Traders • Identify weekly/daily origin zones • Plan entries around large displacement points
Pine Script®指標
由Iamalala提供
Fractional Candlestick Long Only Experimental V10Fractional Candlestick Long-Only Strategy – Technical Description This document provides a professional English description of the "Fractional Candlestick Long Only Experimental V6" strategy using pure CF/AB fractional kernels and wavelet-based filtering. 1. Fractional Candlesticks (CF / AB) The strategy computes two fractional representations of price using Caputo–Fabrizio (CF) and Atangana–Baleanu (AB) kernels. These provide long-memory filtering without EMA approximations. Both CF and AB versions are applied to O/H/L/C, producing fractional candlesticks and fractional Heikin-Ashi variants. 2. Trend Stack Logic Trend confirmation is based on a 4-component stack: - CF close > AB close - HA_CF close > HA_AB close - HA_CF bullish - HA_AB bullish The user selects how many components must align (4, 3, or any 2). 3. Wavelet Filtering A wavelet transform (Haar, Daubechies-4, Mexican Hat) is applied to a chosen source (e.g., HA_CF close). The wavelet response is used as: - entry filter (4 modes) - exit filter (4 modes) Wavelet modes: off, confirm, wavelet-only, block adverse signals. 4. Trailing System Trailing stop uses fractional AB low × buffer, providing long-memory dynamic trailing behavior. A fractional trend channel (CF/AB lows vs HA highs) is also plotted. 5. Exit Framework Exit options include: stack flip, CF
Pine Script®策略
由wojlucz提供
2
RSI with Zone Colors//@version=6 indicator(title="RSI with Zone Colors", shorttitle="RSI+", format=format.price, precision=2, timeframe="", timeframe_gaps=true) //// ==== INPUT SETTINGS ==== rsiLength = input.int(14, title="RSI Length", minval=1) source = input.source(close, title="Source") ob_level = input.int(70, title="Overbought Level") os_level = input.int(30, title="Oversold Level") //// ==== RSI CALCULATION ==== change = ta.change(source) up = ta.ma(math.max(change, 0), rsiLength) down = ta.ma(-math.min(change, 0), rsiLength) rsi = down == 0 ? 100 : 100 - (100 / (1 + up / down)) //// ==== COLOR BASED ON ZONES ==== rsiColor = rsi > ob_level ? color.red : rsi < os_level ? color.green : #2962FF //// ==== PLOT RSI ==== plot(rsi, title="RSI", color=rsiColor, linewidth=2) //// ==== ZONE LINES ==== hline(ob_level, "Overbought", color=#787B86) hline(50, "Middle", color=color.new(#787B86, 50)) hline(os_level, "Oversold", color=#787B86) //// ==== FILL ZONES ==== zoneColor = rsi > ob_level ? color.new(color.red, 85) : rsi < os_level ? color.new(color.green, 85) : na fill(plot(ob_level, display=display.none), plot(rsi > ob_level ? rsi : ob_level, display=display.none), color=zoneColor, title="OB Fill") fill(plot(os_level, display=display.none), plot(rsi < os_level ? rsi : os_level, display=display.none), color=zoneColor, title="OS Fill") //// ==== COLOR CANDLE WHEN RSI IN ZONE ==== barcolor(rsi > ob_level ? color.red : rsi < os_level ? color.green : na)
Pine Script®指標
由pkgoglobal提供
DTC Killzones ICT🕐 DTC Killzones ICT — Visualize Market Sessions Like a Pro The DTC Killzones ICT indicator is a clean and intuitive tool designed for traders who want to analyze and visualize institutional trading sessions directly on their charts. Inspired by ICT’s Killzone concept , this script makes it easy to identify overlapping market sessions — such as London, New York, and Asian — and track how price behaves within each zone. 💡 What It Does This indicator automatically highlights key market sessions (Killzones) on your chart with fully customizable colors, labels, and transparency. Each zone dynamically updates to reflect real-time highs and lows, helping you identify: Session ranges and liquidity zones Volatility windows and breakout areas Institutional footprints across sessions Whether you trade Forex, Indices, or Crypto , this script gives you visual clarity on when and where smart money is likely to move. ⚙️ Main Features ✅ Up to four customizable sessions (New York, London, Asian, and London Close) ✅ Adjustable timeframes and timezone options — sync with your exchange or custom UTC offset ✅ Dynamic high/low range tracking for each session ✅ Toggle range outlines, session labels , and transparency levels ✅ Optional daily dividers and session transition markers ✅ Works on any timeframe and any symbol 🧠 How Traders Use It ICT-based traders can easily mark Killzones to align with setups like FVGs, liquidity grabs, or Silver Bullet entries. Intraday traders can visualize session volatility and overlap periods for potential entries. Swing traders can identify daily structure shifts by tracking range-to-range behavior. 🛠️ Customization You can fully rename, recolor, or disable each session block. Adjust the range transparency for visual comfort, and toggle session or daily dividers to fit your workflow. Everything is designed to be clean, light, and modular — no clutter, no confusion. ⚡ Recommended Settings For ICT-style analysis: London Session: 02:00–05:00 New York Session: 07:00–10:00 Asian Session: 19:30–24:00 London Close Session: 10:00–12:00 These time windows are fully editable to suit your timezone or strategy. 🧩 Compatibility Works seamlessly with TradingView’s built-in timezone tools Compatible with all instruments and timeframes Designed to overlay directly on your price chart 🏁 Final Notes The DTC Killzones ICT indicator focuses purely on market session visualization — no alerts, entries, or trading signals. It’s designed to complement your existing strategies and enhance clarity when analyzing market behavior across global sessions. 📈 Built for traders who value precision, structure, and timing.
Pine Script®指標
由TheDTCEduOfficial提供
🎯 Goal Tracker - Ace EditionTransform your trading mindset with the Goal Tracker – Ace Edition. This elegant visual tool lets you set a main goal and break it into four key steps — each represented by an Ace suit (♣️, ♠️, ♥️, ♦️). Mark each milestone as completed directly from the settings panel and instantly see your progress displayed on the chart. Perfect for traders who want to build consistency, focus, and discipline — one step at a time. ✨ Features: 🎯 Set your main goal and 4 customizable steps ♣️♠️♥️♦️ Each step linked to an Ace suit — symbolic and motivational ✅ Toggle completion with a single click 🎨 Fully customizable colors, fonts, and chart position 📍 Works in overlay mode — visible on any chart, any timeframe 💡 Ideal for: Traders working on mindset and discipline Prop firm traders tracking behavioral goals Anyone who wants to visualize progress right on their chart Example Usage: Goal: “Follow my trading plan for one week” ♣️ Step 1: Avoid impulsive entries ♠️ Step 2: Respect stop loss ♥️ Step 3: Take only A+ setups ♦️ Step 4: Journal every trade
Pine Script®指標
由El_Bichotico提供