Mulai

Osilator

Price_Deviation Oleg📘 Description This script is an extended and customized version of the original work by the respected author fullmax. I adapted the logic for my own trading needs and added several improvements, including lot‑precision rounding to prevent exchange errors when using webhook automation, as well as additional visualization elements for clarity. 🔧 Key Enhancements Lot precision control (prevents invalid quantity errors on exchanges when using webhooks) Base order labels for easier visual tracking Mini‑table with live position metrics Configurable date‑range window for backtesting Dynamic safety‑order price calculation Trailing take‑profit option Improved visualization of thresholds, MA, and TP levels 🎯 How the Strategy Works The script calculates a moving average and compares the current price deviation against user‑defined thresholds. When the deviation condition is met, the strategy opens a base position and then manages it using safety orders that scale in both volume and distance. After entering a position, the script manages exits using: a fixed take‑profit target or an optional trailing take‑profit plus a breakeven reference line and an auto‑close mechanism when the averaging cycle resets All order quantities are rounded according to the selected lot precision to ensure compatibility with exchange requirements when sending webhook‑based orders. ⚙️ Features Overview Deviation‑based entry logic Safety orders with volume and step scaling Configurable date window for testing Trailing TP with adjustable distance Breakeven visualization Mini‑table showing quantity, USD value, open trades, PnL, and equity Clean and intuitive chart visualization 📝 Disclaimer This script is provided for educational purposes only. It does not constitute financial advice and does not guarantee profits. Always test strategies on historical data before using them in live trading.
Strategi Pine Script®
oleh olegask68
Trade ManagerDescription This script is a trade‑management system designed for both automated and manual trading workflows. It combines VWRSI‑based signals, customizable price levels, safety orders, take‑profit logic, and optional MA‑trend filtering. Key features: Automated entries based on VWRSI Manual LONG/SHORT level entries Priority‑based entry logic (first condition triggers the trade) Safety order scaling (volume and step multipliers) Take‑profit targets for both LONG and SHORT positions Breakeven logic with adjustable thresholds Optional MA‑trend filter Mini‑table showing position metrics Base order labels and lot‑precision control How it works: If multiple entry modes are enabled, the script opens a position based on the first condition reached. After entering a trade, the position can be averaged using safety orders and closed at the configured profit target. Notes: This script is for educational purposes and does not guarantee profits. Always test on historical data and understand the risks before using it in live trading.
Strategi Pine Script®
oleh olegask68
ZION Momentum Flow [wjdtks255]🚀 ZION Momentum Flow This is a trend-strength oscillator designed to visualize market momentum through a refined RSI logic. It helps traders identify the exact moment when market energy is accelerating or cooling down. Key Features: Visual Momentum: Uses a color-coded histogram to represent trend intensity (Green for Bullish, Red for Bearish). Two-Tone Strength: Darker colors indicate standard movement, while bright neon colors signal high-energy breakouts beyond the threshold. Built-in Alerts: Supports alerts for momentum spikes, allowing you to catch trend starts without staring at the screen.
Indikator Pine Script®
oleh wjdtks255
ZION Trend Strike [wjdtks255]🚀 ZION Trend Strike This is an advanced trend-following signal indicator designed to work in perfect harmony with the ZION Momentum Flow. It filters market noise and provides precise entry/exit points based on momentum synergy. Key Features: Trend Strike Signals: Provides clear BUY/SELL labels when price action aligns with momentum energy. Dynamic Trend Guide: A color-switching EMA line that helps you visualize the current trend direction at a glance. Synergy Optimization: Best used as a set with ZION Momentum Flow to avoid false breakouts. Multilingual Input: Easy-to-use settings menu with both English and Korean labels.
Indikator Pine Script®
oleh wjdtks255
SOPR Candles - Custom Mid-LineSOPR Candle with Customizable Mid-Line On-chain SOPR (Spent Output Ratio) indicator as an oscillator. Customizable centerline and MAs makes signals easy to identify. Features SOPR displayed as a column-style oscillator Customizable SOPR center (middle line) Optional SMA or EMA smoothing Clear green/red coloring How to Use Values above/below center Indicate profit/loss realization Risk Disclaimer This indicator is provided for educational and informational purposes only and does not constitute financial, investment, or trading advice. Cryptocurrency markets are highly volatile, and trading involves significant risk. Past performance is not indicative of future results. You are solely responsible for your trading decisions and risk management. Always conduct your own research and consider your financial situation before trading.
Indikator Pine Script®
oleh dioxlondon
Weighted CCI Oscillator [SeerQuant]Weighted CCI Oscillator (WCCI) The Weighted CCI Oscillator (WCCI) is an enhanced CCI-style deviation oscillator that builds on the classic Commodity Channel Index framework by introducing adaptive weighting and configurable smoothing. By dynamically scaling deviation based on a selected market “weight” (Volume, Momentum, Volatility, or Reversion Factor), WCCI helps trend strength and regime shifts stand out more clearly, while still retaining the familiar CCI-style structure and ±200 extreme zones. ⚙️ How It Works WCCI starts by calculating a baseline (your chosen moving average type) of the selected CCI source (Typical Price / HLC3, or a custom input source). It then measures how far price deviates from that baseline, and applies an adaptive weight to that deviation based on your selected weighting method. The weighting is normalized for stability so it remains usable across different assets and changing regimes, then clamped to prevent abnormal spikes from distorting the oscillator. The weighted deviation is normalized by a weighted mean absolute deviation term (using the standard CCI constant k), producing a CCI-like oscillator that responds differently depending on the “state” of the market. Trend logic is defined using a neutral zone around the 0 midline: bullish when WCCI holds above (0 + Neutral Zone), bearish when it holds below (0 - Neutral Zone), and neutral while it remains inside that band. A smoothed WCCI line is also provided for cleaner confirmation. ✨ Customizable Settings WCCI is designed to be tuned without overcomplication. You can choose the CCI source mode (Typical Price / HLC3 or Input Source), set the calculation length, and apply smoothing using your preferred moving average type (SMA, EMA, RMA, HMA, DEMA, TEMA, etc.). The weighting method is the key differentiator: Volume weighting emphasizes participation and activity. Momentum weighting emphasizes impulse and directional pressure. Volatility weighting emphasizes expansion/contraction phases. Reversion Factor weighting responds inversely to variance, biasing toward mean-reversion conditions. On the style side, you can select a preset colour scheme (Default/Modern/Cool/Monochrome) or enable custom bull/bear/neutral colours. Candle coloring is optional, and you can choose whether candles follow the raw WCCI or the smoothed WCCI. 🚀 Features and Benefits WCCI provides a CCI-style oscillator that adapts to market conditions instead of treating every regime the same. The weighting engine helps meaningful moves stand out when conditions justify it, while the neutral-zone framework reduces noise and improves readability compared to relying purely on midline flips. With flexible smoothing, clean state transitions, optional candle coloring, and clear ±200 extreme markers, WCCI works well as a trend filter, confirmation layer, or regime signal alongside other systems. 📜 Disclaimer This indicator is for educational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Always consult a licensed financial advisor before making trading decisions. Use at your own risk.
Indikator Pine Script®
oleh SeerQuant
Supercharged MA Momentum Oscillator (v6,Secondary Levels)Supercharged MA Momentum Oscillator (Dots on Line) Description: The Supercharged MA Momentum Oscillator is a trend and momentum-based tool designed to highlight short-term market momentum relative to a moving average. It provides a visual way to identify potential entry and exit points using a combination of smoothed momentum, ATR-based thresholds, and upper/lower momentum levels. Key Features: Smooth momentum line derived from a moving average slope. Opposite momentum line for contrarian signals. ATR-based thresholds to detect meaningful momentum shifts. Upper and lower momentum levels for stronger confirmation of overbought/oversold conditions. Buy/sell dots plotted on the momentum line to highlight potential trade opportunities. Customizable inputs for moving average length, smoothing, ATR period, and thresholds. How to Use: Momentum Interpretation: Blue Line (Momentum): Represents the primary momentum. Orange Line (Opposite Momentum): Represents the inverse momentum for contrarian observation. Thresholds & Levels: Green/Red Lines (ATR Thresholds): Define minor trigger zones for potential momentum changes. Yellow Dashed Lines (Upper/Lower Levels): Define major momentum levels; stronger signals occur when momentum crosses these. Trade Signals: Buy Signal (Green Dot): Momentum crosses above both the ATR long threshold and the upper momentum level. Sell Signal (Red Dot): Momentum crosses below both the ATR short threshold and the lower momentum level. Dots appear directly on the momentum line to easily visualize trade triggers. Customization: Adjust the MA Length and Smoothing to fit the timeframe and asset volatility. Modify ATR Length and Threshold Factor to fine-tune sensitivity. Change Upper/Lower Momentum Levels to capture stronger or weaker signals. Tips: Best used in combination with trend analysis or other technical indicators for confirmation. Ideal for spotting momentum reversals or identifying potential breakout entries. Works on multiple timeframes — shorter timeframes will show more frequent signals, longer timeframes filter noise. Note: This indicator is for educational and informational purposes. Always use proper risk management and confirm signals with other analysis before executing trades.
Indikator Pine Script®
oleh GiKeba
RSI [Hash Capital Research]RSI is a visually enhanced momentum indicator built on the classic Relative Strength Index. This version expands RSI into a more flexible analytical tool through smoothing options, adaptive zone-based coloring, optional signal line overlays, and divergence detection. It is designed as a context-building indicator, not a standalone entry system. What This Indicator Does This script calculates a smoothed RSI using user-defined parameters and then provides multiple optional enhancements: 1. Adaptive RSI Visualization The core RSI is plotted with: Zone-based color changes (neutral, oversold, overbought) Optional glow effects to emphasize extreme conditions User-defined color intensity and midline visibility The goal is to provide clearer visual segmentation of trend strength and momentum behavior. 2. Custom Smoothing & Signal Line Options The indicator allows: Multi-layer smoothing for RSI stability An optional signal line using the trader’s preferred moving-average method (SMA, EMA, SMMA/RMA, WMA, VWMA) This helps operators examine whether momentum is accelerating or stabilizing relative to its mean. 3. Overbought/Oversold Tools User-defined thresholds determine: Highlighted zones Optional markers for extreme reversals (based on RSI + momentum + velocity criteria) Midline (50) cross highlights for trend-bias transitions These features help contextualize where the RSI sits relative to broader momentum regimes. 4. Divergence Detection (Optional) When enabled, the script scans for regular bullish and bearish divergences using pivot-based structure. It compares: Price making lower lows vs RSI making higher lows (bullish) Price making higher highs vs RSI making lower highs (bearish) Detected divergences are plotted on the RSI panel with visual labels. This detection uses pivot lookbacks and range limits defined by the user. 5. Alerts The indicator provides optional alerts for: Extreme reversals Overbought/oversold momentum shifts Midline (50) crossovers Bullish / bearish divergences Alerts are intended for monitoring, not for automated execution. How to Use It This RSI modification is intended to support broader analysis workflows, including: Identifying regime shifts using midline crosses Monitoring momentum structure across trend phases Highlighting oversold or overbought clustering Adding a visual signal line to interpret momentum smoothing Spotting divergence between price and RSI As with all indicators, this tool should be used as one component of a complete analysis framework. What Makes This Version Distinct This script maintains the core behavior of RSI but introduces: A multi-layer smoothing system Adaptive colors calibrated to oversold/neutral/overbought zones Optional glow visualizations A modular signal-line engine with multiple MA types Configurable divergence detection with visual labels Multiple marker placement modes for extreme conditions These features expand RSI’s readability while keeping its underlying logic transparent and consistent with common operator workflows. Important Notes This is an indicator, not a strategy. It does not execute trades or calculate performance metrics. The visual enhancements are designed to improve clarity, not to generate automated “buy” or “sell” systems. Divergence detection is optional because divergence is inherently contextual and may not apply equally across all markets or timeframes.
Indikator Pine Script®
oleh Hash_Capital
2
Smart Fear & Greed Index [MarkitTick]💡 This comprehensive technical tool is designed to quantify market sentiment on an asset-specific basis, translating complex price action into a singular, normalized gauge of "Fear" and "Greed." While traditional Fear & Greed indices rely on macro-economic data (like put/call ratios or junk bond demand) generally applied to the broad S&P 500, this script calculates a localized index for the specific chart you are viewing. It synthesizes Momentum, Volatility, Volume, and Price Positioning into a bounded 0-100 oscillator, aiming to identify psychological extremes where market reversals are statistically more likely to occur. ✨ Originality and Utility ● Asset-Specific Sentiment Analysis Most sentiment tools are external to the chart (e.g., news sentiment or broad market indices). The Smart Fear & Greed Index is unique because it internalizes this logic, creating a bespoke psychological profile for any ticker—whether it is Crypto, Forex, or Stocks. It allows traders to see if *this specific asset* is overheated (Greed) or oversold (Fear) relative to its own recent history. ● The "Buy the Fear, Sell the Greed" Logic The script employs a contrarian color-coding philosophy aligned with the famous investment adage: "Be fearful when others are greedy, and greedy when others are fearful." When the indicator shows Fear (Low values), it colors the zone Green, signaling a potential buying opportunity (discount). When the indicator shows Greed (High values), it colors the zone Red, signaling potential downside risk (premium). ● Integrated Divergence Detection Unlike standard oscillators that leave interpretation entirely to the user, this tool includes an automated divergence engine. It detects discrepancies between the sentiment index and price action, plotting lines and labels to highlight potential exhaustion points before they become obvious on the price chart. 🔬 Methodology and Concepts The calculation is driven by a custom User-Defined Type (UDT) called QuantEngine , which aggregates four distinct technical "pillars" to form the final Composite Index. • Pillar 1: Momentum (RSI) The engine utilizes the Relative Strength Index to measure the velocity and magnitude of directional price movements. High momentum contributes to the "Greed" score, while collapsing momentum contributes to "Fear." • Pillar 2: Volatility (Inverted Normalized ATR) This component interprets volatility through a psychological lens. Low Volatility is interpreted as complacency or "Greed" (steady uptrends often have low vol). High Volatility is interpreted as "Fear" (panic selling and erratic ranges often spike volatility). The script normalizes the Average True Range (ATR) and inverts it so that stability adds to the score, and instability subtracts from it. • Pillar 3: Volume Strength Volume is analyzed relative to its moving average. However, raw volume isn't enough; the engine applies directional logic. High relative volume on an Up-Close adds to the Greed score. High relative volume on a Down-Close subtracts, adding to the Fear score. • Pillar 4: Price Position (Stochastic) This calculates where the current close sits relative to the recent High-Low range. Closing near the highs indicates confidence (Greed), while closing near the lows indicates pessimism (Fear). • The Composite & Smoothing These four metrics are averaged to create a raw composite, which is then smoothed via an Exponential Moving Average (EMA) to filter out noise and produce the final, readable "Smart Fear & Greed" line. 🎨 Visual Guide ● The Oscillator Line This is the primary fluctuating line that moves between 0 and 100. Values > 50 suggest positive sentiment. Values < 50 suggest negative sentiment. ● Color-Coded Zones The plot changes color dynamically to reflect the psychological state: Red (70-100): Extreme Greed. The market may be irrationally exuberant. Orange (60-70): Greed. Strong bullish conviction. Yellow (40-60): Neutral. Indecisive or transitionary market. Light Green (30-40): Fear. Sentiment is turning bearish. Bright Green (0-30): Extreme Fear. Panic selling, often a precursor to a value bounce. ● Background Highlights A semi-transparent Red Background appears when the index breaches 75, warning of a potential "Top." A semi-transparent Green Background appears when the index drops below 25, highlighting a potential "Bottom." ● Divergence Elements Red Lines/Labels ("Bear"): Bearish Divergence. Price makes a Higher High, but the Index makes a Lower High. This suggests momentum is waning despite rising prices. Green Lines/Labels ("Bull"): Bullish Divergence. Price makes a Lower Low, but the Index makes a Higher Low. This suggests selling pressure is drying up. 📖 How to Use • Identifying Reversals Wait for the oscillator to enter "Extreme" zones. Do not trade immediately upon entry; wait for the line to exit the extreme zone to confirm the reversal. For example, if the line hits 80 (Red) and then crosses back down below 70, it signals that Greed is fading. • Trend Continuation In a strong trend, the indicator may hover in the Greed (Orange) or Fear (Light Green) zones for extended periods. In these cases, use the Neutral (Yellow) zone crosses as re-entry signals in the direction of the trend. • Divergence Confirmation Use the automated divergence lines as high-conviction triggers. If the background turns Green (Extreme Fear) AND a Bullish Divergence label appears, it provides a stronger technical case for a long position than the zone alone. ⚙️ Inputs and Settings ● Calculation Settings Global Lookback Period (Default: 21): The core lookback window for RSI, ATR, Volume, and Stochastic calculations. Increasing this makes the index slower and less reactive; decreasing it makes it faster. Smoothing Length (Default: 5): Determines how smooth the final line is. Higher numbers reduce "whipsaws" but add lag. Color Main Chart Candles : Colors the chart bars based on Fear/Greed sentiment. ● Divergence Settings Divergence Lookback (Default: 5): Determines the pivot strength required to register a high or low for divergence checks. Show Divergence Lines/Labels: Toggles to hide visual clutter if you only want to see the oscillator. 🔍 Deconstruction of the Underlying Scientific and Academic Framework ● Normalization Theory The core scientific principle here is Min-Max Normalization. The script takes heterogeneous data types—Price (Dollars/Cents), Volume (Shares/Contracts), and Volatility (Points)—and standardizes them into a unit-less distribution between 0 and 100. This allows for the summation of disparate market forces into a single vector. ● Mean Reversion and Oscillator Bounds The indicator relies on the statistical concept of Mean Reversion. Markets, like elastic bands, can only stretch so far from their average valuation (represented by the 50 line) before snapping back. The "Extreme" zones (Upper and Lower deciles) represent areas of statistical improbability where the likelihood of a continuation decreases and the likelihood of a reversion increases. ● Divergence and Momentum Theory The divergence logic is grounded in the principle that momentum precedes price. Mathematically, price is the integral of velocity. When the derivative (momentum/sentiment) approaches zero or reverses while the function (price) continues, it signals a non-sustainable anomaly in the data series, often resolved by a price correction. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Indikator Pine Script®
oleh MarkitTick
2
Unreached Highs/Lows Oscillator [LuxAlgo]The Unreached Highs/Lows Oscillator highlights the amount of unreached high/low prices as a percentage over time, helping visualize trend strength and momentum from bullish and bearish market participants. 🔶 USAGE This indicator measures the strength of directional price movements, helping traders visualize the strength of both the bullish and bearish market participants. When prices are moving up with strength, the price structure will not come back to retest previous lows. Therefore, unreached lows keep adding up. When prices are moving down with strength, they will not retest previous highs; therefore, unreached highs keep adding up. As we can see on the chart, high readings of unreached highs (red) and low readings of unreached lows (green) are considered bearish, and a downtrend in price confirms this bias. Conversely, high readings of unreached lows and low readings of unreached highs are considered bullish. On the chart, this is reflected as an uptrend. Additionally, the oscillator can reveal significant breakouts on the chart, with unreached highs or lows decreasing rapidly indicating that a large number of highs/lows have been reached. Due to the oscillator being normalized, overbought and oversold levels are included. In this gold chart, we have different examples of how to use the tool in conjunction with price behavior to understand the market. Let's dissect it step by step: 1. Uptrend: Bullish readings are above 80, and bearish readings are below 20. The market is trending up. 2. Range: Mixed readings around 50 for both bullish and bearish; the market is ranging. 3. Uptrend: The same as before. Bullish above 80 and bearish below 20. 4. Pullback: A bullish dip below 80 to 50 and a bearish reading below 20 indicates a pullback. 5. Range: Mixed readings. In this case, it is bullish above and below 80 and bearish above and below 20. The market is ranging. 6. Uptrend: Bullish above 80 and bearish below 20; the market keeps moving up. 7. Pullback: Bullish dips below 80 and bearish rises to 50 indicate a pullback. 8. Uptrend: As before, bullish is above 80 and bearish is below 20; the market is trending up. This Bitcoin chart shows how to use extreme readings of 0 and 100 to detect potential reversals. When both readings are at extreme opposites, we set the threshold level at 100 and 0 instead of the default levels of 80 and 20 to better identify these areas. As we can see, extreme readings at points 1 and 5 identify major reversals that lead to a change in trend. Extreme readings at points 2, 3, 4, and 6 identify minor reversals that do not lead to a change in trend. From the settings panel, traders can adjust the length parameter. A smaller value measures smaller price movements, while a larger value measures larger price movements. A length value of 20 is used by default. The chart shows how different values affect bullish and bearish measures. 🔶 SETTINGS Length: Select the maximum number of highs and lows to be used. 🔹 Style Bullish: Select a color for unreached lows. Bearish: Select a color for unreached highs. Top Threshold: Select the top threshold level and color. Enable the Auto feature to choose the default color. Bottom Threshold: Select the bottom threshold level and color. Enable the Auto feature to choose the default color.
Indikator Pine Script®
oleh LuxAlgo
5
RSI Sigmoid (Saturation)# 📊 RSI Sigmoid (Saturation) Indicator --- ## 🎯 What Does This Indicator Do? This indicator transforms the traditional **RSI (Relative Strength Index)** using a **sigmoid function**, creating a mathematically "saturated" version that provides smoother, more controlled momentum signals. --- ## ✨ Key Features ### 🌊 **Saturation Effect** Unlike standard RSI which oscillates wildly between 0-100, this version uses a **hyperbolic tangent function** to compress extreme values: - 🔴 **Extreme readings** (very high/low) are dampened → pushed toward saturation zones (10 & 90) - 🟡 **Middle range** (30-70) remains responsive and dynamic - 🟢 **Sharp spikes** are smoothed while maintaining trend direction ### 👁️ **Dual Visualization** - **🔵 Blue Line**: RSI Sigmoid (Saturated) - Your primary signal - **🟠 Orange Circles**: Traditional RSI - For comparison - **🟣 Purple Area**: Difference plot showing transformation intensity ### 🎯 **Smart Signals** - **▲ Green Triangle**: Buy Signal when RSI Sigmoid crosses **above 50** - **▼ Red Triangle**: Sell Signal when RSI Sigmoid crosses **below 50** - **🎨 Background Colors**: Highlight oversold, overbought, and saturation zones --- ## ⚙️ How to Use ### 📐 **RSI Period** (Default: 50) ``` Higher Values (70-100) → Smoother, slower, fewer signals Lower Values (14-30) → More responsive, more signals, noisier ``` ### 🎚️ **Sigmoid Coefficient** (Default: 0.5) ``` Low (0.1-0.2) → Gentle saturation, closer to standard RSI Medium (0.25) → Balanced transformation High (0.3-0.5) → Aggressive saturation, strong dampening ``` ### 📍 **Oversold/Overbought Levels** Customize based on your: - Trading timeframe (1m, 5m, 1h, 1D, etc.) - Asset volatility - Trading style (scalping, swing, position) --- ## 🔍 What to Watch For | Signal | Meaning | Action | |--------|---------|--------| | 🟢 **Cross Above 50** | Bullish momentum shift | Consider long positions | | 🔴 **Cross Below 50** | Bearish momentum shift | Consider short positions | | ⚡ **Saturation < 10** | Extreme oversold | Potential reversal up | | 🔥 **Saturation > 90** | Extreme overbought | Potential reversal down | | 🟣 **Large Difference** | High transformation intensity | Strong momentum dampening | --- ## 💡 Trading Tips ✅ **DO:** - Use multiple timeframes for confirmation - Combine with support/resistance levels - Apply proper risk management (stop-loss, position sizing) - Backtest settings on your specific asset - Watch for divergences between price and indicator ❌ **DON'T:** - Rely solely on this indicator - Ignore market context and fundamentals - Over-leverage based on signals - Use default settings without testing - Trade without a clear strategy --- ## ⚠️ IMPORTANT DISCLAIMERS ### 🚨 **NOT Financial Advice** This indicator is provided for **educational and informational purposes only**. It does not constitute financial, investment, or trading advice. ### 🛡️ **Risk Warning** - ❌ **No guarantee of profits** - Past performance ≠ future results - ❌ **Do not rely on this alone** - Always use multiple analysis methods - ❌ **Markets are unpredictable** - No indicator can predict with certainty - ❌ **You can lose money** - Never risk more than you can afford to lose ### 🎛️ **Customization Required** All settings are **user-configurable** for a reason: - Default values may NOT suit your strategy - Different assets require different parameters - Always backtest before live trading - Adjust based on your timeframe and risk tolerance ### 📜 **Your Responsibility** - ✓ You are responsible for your own trading decisions - ✓ Always do your own research (DYOR) - ✓ Understand the risks before trading - ✓ Consider consulting a licensed financial advisor --- ## 📋 Quick Settings Guide | Trading Style | RSI Period | Sigmoid K | Notes | |---------------|------------|-----------|-------| | **Scalping** | 14-21 | 0.3-0.4 | Fast signals, higher noise | | **Day Trading** | 30-50 | 0.4-0.5 | Balanced responsiveness | | **Swing Trading** | 50-70 | 0.5 | Smoother, fewer false signals | | **Position Trading** | 70-100 | 0.5 | Very smooth, major trends only | --- ## 🏷️ License & Liability **Use at your own risk.** The creator assumes **no liability** for any trading losses, damages, or consequences resulting from the use of this indicator. --- ### 🤝 Happy Trading & Stay Safe! 📈 *Remember: The best indicator is your own knowledge and discipline.*
Indikator Pine Script®
oleh hasanaksoy199264
2
Gamma of Gamma - AnticipationGamma of Gamma — Anticipation Engine What if you could detect market inflections before they become obvious? Not react to momentum — anticipate the momentum itself. "Gamma here refers to mathematical acceleration (2nd derivative), NOT options Gamma" Gamma of Gamma (GoG) operates one abstraction layer above conventional indicators. While RSI tells you what momentum did , GoG tells you what momentum is about to do . This is the difference between chasing price and positioning ahead of it. Core Innovation: Traditional indicators measure first-order effects (price change) or second-order effects (momentum/acceleration). This system measures the third derivative — the rate of change of acceleration itself. When Gamma-of-Gamma reaches extremes, it signals that pressure dynamics are about to flip — often 2-5 bars before price visibly reacts. Target Users: Discretionary traders, scalpers, and swing traders who want early positioning signals with statistical rigor. Effective on stocks, crypto, forex, and futures with meaningful volume data. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHY THIRD-DERIVATIVE ANALYSIS? ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ The Hierarchy of Market Information Most traders operate at the wrong level of abstraction: • Price → What happened (lagging) • Momentum → How fast it happened (still lagging) • Gamma (2nd Derivative) → How momentum is changing (coincident) • Gamma of Gamma (3rd Derivative) → How FAST that change is changing ( leading ) The third derivative captures inflection acceleration — the mathematical signature of regime transition. When GoG reaches extreme values, the market is telegraphing that current pressure dynamics are unsustainable. Why This Beats RSI RSI measures momentum magnitude. GoG measures momentum trajectory . Consider this scenario: RSI reads 70 (overbought). Is the move exhausted or just getting started? RSI cannot tell you. GoG can — because it measures whether buying pressure is accelerating into the high RSI reading (continuation likely) or decelerating despite high RSI (reversal imminent). RSI answers: "How strong was the move?" GoG answers: "Is the move strengthening or weakening right now ?" The first is historical. The second is predictive. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ MATHEMATICAL FOUNDATION ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Layer 1: Cumulative Volume Delta (CVD) The foundation is order flow approximation: • Up bar (close > prior close): Volume classified as buying pressure • Down bar (close < prior close): Volume classified as selling pressure • CVD = Running sum of signed volume Interpretation: Rising CVD indicates net aggressive buying. Falling CVD indicates net aggressive selling. CVD divergence from price often precedes reversals. Layer 2: Gamma (Second Derivative) Gamma measures acceleration of order flow: Formula: Gamma = CVD - 2×CVD + CVD This is the discrete second derivative — the rate of change of the rate of change. When Gamma spikes positive, buying pressure is accelerating . When Gamma spikes negative, selling pressure is accelerating. Layer 3: Gamma of Gamma (Third Derivative) GoG measures jerk — the acceleration of acceleration: Formula: GoG = Gamma - 2×Gamma + Gamma Critical insight: Extreme GoG readings indicate that current pressure dynamics are reaching an inflection point. The system is "overextended" in its current trajectory and will likely revert or reverse. Layer 4: Z-Score Normalization Raw GoG values are normalized against their 50-period distribution: Formula: GoG_Z = (GoG - Mean_50) / StdDev_50 Benefit: Z-scores are regime-adaptive. A "2.0" reading always means "2 standard deviations from normal" regardless of whether you're trading a penny stock or ES futures. This makes thresholds consistent across instruments and timeframes. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SIGNAL GENERATION LOGIC ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Long Signal (Bullish Anticipation) Triggers when: • GoG Z-score < -Threshold (default -2.0) • Volume > Average Volume × Minimum Multiple (default 1.2×) Interpretation: Selling pressure acceleration has reached an extreme negative reading. The selling is "exhausting itself" — acceleration is peaking and will soon decelerate. Buyers are likely to step in. Short Signal (Bearish Anticipation) Triggers when: • GoG Z-score > +Threshold (default +2.0) • Volume > Average Volume × Minimum Multiple (default 1.2×) Interpretation: Buying pressure acceleration has reached an extreme positive reading. The buying is "exhausting itself" — often occurs at blow-off tops, failed breakouts, or momentum climaxes. Why Volume Confirmation? Gamma acceleration in thin liquidity is meaningless noise. The volume filter ensures signals occur only when meaningful participation backs the pressure dynamics. This dramatically reduces false signals during low-activity periods. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ CONFIDENCE ENGINE ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Not all signals are equal. The Confidence Engine quantifies signal strength: Confidence Calculation: Confidence = 50 + ((|Z-Score| - Threshold) / Threshold) × 100 Capped at 100% Visual Representation: • Small orb = Low confidence (50-65%) • Normal orb = Medium confidence (65-80%) • Large orb = High confidence (80-100%) Orb transparency also adjusts — high-confidence signals appear brighter and more prominent. This creates intuitive visual hierarchy where stronger signals demand more attention. Practical Use: • High confidence (>80%): Consider larger position size, tighter stops • Medium confidence (50-80%): Standard position size • Low confidence (<50%): Reduced size or wait for confirmation ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ INTEGRATED BACKTESTER ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Every signal system needs accountability. The onboard backtester provides real-time performance tracking: Core Metrics: • Total Trades • Win Rate • Profit Factor • Expectancy (average P&L per trade) • Net P&L • Max Drawdown • Average Win / Average Loss Methodology: • Positions held for configurable bar count (default 10 bars) • Forces objective evaluation independent of discretionary exits • Updates in real-time as new trades complete Optimizer Mode: Enable for parameter tuning research: • Stability Score (0-100 points): Composite evaluation of parameter robustness • Trade Density : Signals per 1000 bars — monitors over/under-trading • Parameter Display : Current settings for documentation • Robustness Rating : ROBUST / STABLE / FRAGILE / OVERFIT Stability Scoring Breakdown: • Win Rate ≥55%: +25 points | ≥50%: +15 points | ≥45%: +5 points • Expectancy >0.5%: +25 points | >0.1%: +15 points | >0%: +5 points • Total Trades ≥30: +25 points | ≥20: +15 points | ≥10: +5 points • Profit Factor ≥1.5: +25 points | ≥1.2: +15 points | ≥1.0: +5 points Target: 60+ points indicates stable parameters. Below 40 suggests overfitting risk. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ CHART EXECUTION SIGNALS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Unique feature: Entry and exit markers display directly on the price chart via force_overlay, even though the indicator runs in a separate pane. Visual Markers: • ▲ Green Triangle (below bar): Long entry at exact price level • ▼ Red Triangle (above bar): Short entry at exact price level • ✕ Gold X-Cross : Position exit after hold period Benefit: Immediate visual correlation between GoG signals and price action. Review historical trades without switching between panes. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ DUAL DASHBOARD SYSTEM ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Main Dashboard — Real-Time State Displays: • Current GoG regime (EXTREME HIGH / EXTREME LOW / NEUTRAL) • GoG Z-Score (numerical) • Raw GoG value • Gamma value • CVD (Cumulative Volume Delta) • Volume status (Active/Low with ratio) • Signal state (Scanning / Long Signal / Short Signal / In Position) • Confidence meter with visual bar • Entry price when in position Backtest Dashboard — Performance Metrics Displays all backtester metrics in compact format. Switches to Optimizer view when Optimizer Mode enabled. Both dashboards feature: • Configurable position (6 locations including Middle Left/Right) • Adjustable text size (Tiny/Small/Normal/Large) • Transparency control for visual integration ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ PARAMETER GUIDE ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Calculation Settings • GoG Extreme Threshold (default 2.0): Z-score level for signal generation. Higher = fewer but stronger signals. Range: 0.5-5.0 • Gamma Smoothing (default 3): SMA period for Gamma. Lower = more responsive, more noise. Higher = smoother, more lag. Range: 1-20 • GoG Smoothing (default 5): SMA period for GoG. Filters micro-spikes while preserving structural inflections. Range: 1-20 • Min Volume Multiple (default 1.2): Volume must exceed this multiple of 20-period average. Ensures signals have participation backing. Range: 0.5-3.0 Backtester Settings • Backtest Hold Bars (default 10): Forced holding period for backtester evaluation. Adjust based on timeframe and trading style. • Parameter Optimizer Mode : Enables extended metrics for tuning research. Tuning by Timeframe Scalping (1-5 min): Threshold: 1.5-2.0 | Gamma Smooth: 2-3 | GoG Smooth: 3-4 | Hold: 5-8 bars Day Trading (15-60 min): Threshold: 2.0-2.5 | Gamma Smooth: 3-5 | GoG Smooth: 5-7 | Hold: 8-12 bars Swing Trading (4H-Daily): Threshold: 2.5-3.0 | Gamma Smooth: 5-7 | GoG Smooth: 7-10 | Hold: 10-15 bars ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ HOW TO USE: PRACTICAL WORKFLOW ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Step 1: Identify Regime Watch the GoG Z-score line. Most of the time it oscillates within the neutral zone (between thresholds). This is "scanning" mode — no actionable signal. Step 2: Wait for Extreme When Z-score crosses threshold AND volume confirms, a signal fires. The orb appears in the indicator pane; the triangle appears on price chart. Step 3: Assess Confidence Check orb size and dashboard confidence reading: • Large bright orb + 80%+ confidence = High conviction setup • Small faint orb + <60% confidence = Requires additional confirmation Step 4: Execute with Context GoG signals anticipate — they don't confirm. Use price structure (support/resistance), higher timeframe trend, or other confirmation before entry. Step 5: Manage Position Exit markers show backtester exits. For live trading, consider: • Time-based exit (signal's hold period) • Opposite signal exit • Fixed R:R targets Step 6: Review Performance Check Backtest Dashboard regularly. If Win Rate drops below 45% or Expectancy goes negative, reassess parameters or market conditions. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHAT THIS INDICATOR IS — AND ISN'T ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ This Indicator IS: ✅ State-transition detector (balance → imbalance) ✅ Early warning system for momentum shifts ✅ Anticipation tool for pre-positioning ✅ Statistical framework with built-in accountability This Indicator IS NOT: ❌ Mechanical buy/sell system (requires discretion) ❌ Trend-following indicator ❌ Reversal-only indicator ❌ Replacement for risk management Best Use Cases: • Detecting early reversals before obvious confirmation • Anticipating breakouts during volatility compression • Timing pullback entries in established trends • Identifying exhaustion at momentum climaxes Challenging Conditions: • Extremely low volume environments • News-driven gaps (no order flow to measure) • Instruments with unreliable volume data ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ORIGINALITY STATEMENT ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Innovation 1: Third-Derivative Order Flow Analysis While first and second derivatives are common, applying third-derivative (jerk) analysis to cumulative volume delta is novel. This captures inflection points that lower-order analysis misses entirely. Innovation 2: Z-Score Adaptive Thresholds Rather than fixed thresholds that require per-instrument tuning, z-score normalization creates self-adapting signal levels that work consistently across any liquid instrument. Innovation 3: Confidence-Weighted Visual System Dynamic orb sizing and transparency based on signal strength provides intuitive visual hierarchy. Stronger signals literally appear larger and brighter. Innovation 4: Integrated Accountability Built-in backtester with optimizer mode enables parameter validation directly on chart. No external tools or spreadsheets required. Innovation 5: Dual-Pane Execution Visualization Force-overlay chart signals bridge the gap between indicator pane and price action, enabling immediate visual trade review. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ LIMITATIONS & DISCLAIMERS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Technical Limitations • Volume classification uses bar direction (close vs prior close), not tick-level aggressor data. Precision loss estimated 10-15% vs institutional-grade data. • CVD approximation assumes volume follows price direction. Works well in trending conditions; less precise in choppy markets. • Backtester uses fixed hold period, not optimal exit logic. Real performance may vary with proper trade management. Market Limitations • Requires meaningful volume data. Avoid instruments with reported volume issues. • Signals may cluster during high-volatility events. Not every signal should be traded. • Anticipation signals appear early by design. Patience required — price may continue against signal briefly before reversing. Risk Disclosure • Trading involves risk of loss. Past performance does not guarantee future results. • This indicator provides analysis tools, not financial advice. • Always use proper position sizing and risk management. • Backtest results are hypothetical and do not include slippage, commissions, or fees. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ RECOMMENDED SETTINGS BY MARKET ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Crypto (BTC, ETH, SOL) Threshold: 1.8-2.2 | Gamma: 3 | GoG: 5 | Volume: 1.3x | TF: 15min-4H Notes: Higher volatility produces more signals. Consider higher threshold to filter. Forex Majors (EURUSD, GBPUSD) Threshold: 2.0-2.5 | Gamma: 4 | GoG: 6 | Volume: 1.2x | TF: 5min-1H Notes: Lower volatility requires patience. Volume proxy via tick volume works adequately. Stocks (Large Cap) Threshold: 2.0-2.5 | Gamma: 3-4 | GoG: 5-6 | Volume: 1.2x | TF: 15min-Daily Notes: Real volume data provides cleanest signals. Watch for opening/closing auction distortions. Futures (ES, NQ, CL) Threshold: 2.0-2.3 | Gamma: 3 | GoG: 5 | Volume: 1.2x | TF: 5min-1H Notes: Excellent volume data. Session boundaries may produce false signals — consider RTH only. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ CONCLUSION ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Gamma of Gamma represents a fundamental shift in signal philosophy: from reacting to momentum to anticipating momentum. By operating at the third derivative of order flow, this system detects the mathematical signatures of regime transition — the moments when current pressure dynamics become unsustainable and reversal becomes probable. This is not another oscillator telling you what already happened. This is an anticipation engine positioning you for what's about to happen. Stop chasing. Start anticipating. RSI tells you where momentum was. GoG tells you where it's going. Taking you to school. - Dskyz , Trade with probability. Trade with anticipation. Trade with GoG
Indikator Pine Script®
oleh DskyzInvestments
3
Overshoot Stop Detector (EMA20 + ATR)How to read the signals (to match what you're doing): An "OS" (Offside) above the previous bar indicates an overshoot. A "STOP" (Stop) below the current bar indicates a potential "stop-loss" after an overshoot. Then you can set a Beer-style trigger, for example: Enter when the price breaks through the high of the STOP bar. Or enter when the price closes green above the high of the STOP bar. Then set your TP (Take Profit) at 10 to 15% as you've hypothesized.
Indikator Pine Script®
oleh WyattKane
Pro Cumulative Volume RSI# Pro Cumulative Volume RSI - Professional Trading Indicator ## 📊 What is it? The **Pro Cumulative Volume RSI** is an advanced momentum oscillator that analyzes buying and selling pressure through volume distribution. Unlike traditional RSI that only tracks price movements, this indicator separates volume into buying and selling components, providing two distinct RSI calculations that reveal market dynamics from both perspectives. ## 🔍 How Does It Work? ### Volume Distribution Algorithm The indicator uses a sophisticated volume distribution method: **Buying Volume (BV)** = Volume × (Close - Low) / (High - Low) **Selling Volume (SV)** = Volume × (High - Close) / (High - Low) This formula proportionally allocates volume based on where the candle closes within its range: - If close is near the high → More buying volume - If close is near the low → More selling volume ### Dual RSI Calculation The indicator then calculates **two separate RSI values**: 1. **Green Line (Buying Volume RSI)**: Measures the dominance of buying pressure 2. **Red Line (Selling Volume RSI)**: Measures the dominance of selling pressure Each RSI follows the traditional 14-period calculation but applies it to the volume pressure differences rather than price changes. ## 🎯 How to Use It ### Signal Interpretation | Scenario | Meaning | Action | |----------|---------|--------| | Green > 70, Red < 30 | Strong buying dominance | Consider buying / Hold long | | Red > 70, Green < 30 | Strong selling dominance | Consider selling / Avoid longs | | Green crosses above Red | Momentum shift to buyers | Potential buy signal | | Red crosses above Green | Momentum shift to sellers | Potential sell signal | | Both near 50 | Balanced market | Wait for confirmation | ### Key Features **1. Crossover Signals** - **BUY signal**: When green line crosses above red line with sufficient momentum - **SELL signal**: When red line crosses above green line with sufficient momentum - Triangle markers appear automatically on the chart **2. Divergence Detection** - **Bullish Divergence (DIV+)**: Price makes lower lows but indicator makes higher lows → Potential reversal up - **Bearish Divergence (DIV-)**: Price makes higher highs but indicator makes lower highs → Potential reversal down - Yellow/orange circles mark divergences automatically **3. Background Coloring** - **Green background**: Buying pressure dominates - **Red background**: Selling pressure dominates - Intensity shows strength of pressure **4. Live Status Table** - Real-time RSI values for both buying and selling - Current momentum status - Market pressure assessment - Last detected signal ### Settings Customization **Basic Settings:** - **RSI Period**: Default 14, adjust based on your trading timeframe (shorter = more sensitive) **Visual Settings:** - **Histogram Mode**: Toggle between line and histogram display - **Background Coloring**: Enable/disable pressure-based background - **Transparency**: Adjust background opacity **Signal Settings:** - **Crossover Signals**: Show/hide BUY/SELL markers - **Divergence Detection**: Enable automatic divergence spotting - **Sensitivity**: Low/Medium/High - controls how strong momentum must be for signals **Level Lines:** - **Overbought/Oversold**: Adjust threshold levels (default 70/30) ## ⚠️ IMPORTANT DISCLAIMER ### This Indicator Should NOT Be Used Alone **ALWAYS combine this indicator with other forms of analysis:** ✅ **Price Action Analysis** - Support and resistance levels - Trend lines and chart patterns - Candlestick formations ✅ **Other Technical Indicators** - Moving Averages (trend confirmation) - MACD (momentum confirmation) - Volume Profile (context) - ATR (volatility assessment) - Bollinger Bands (volatility and extremes) ✅ **Multiple Timeframe Analysis** - Check higher timeframes for overall trend - Use lower timeframes for precise entries - Ensure signals align across timeframes ✅ **Fundamental Analysis** - News and economic events - Earnings reports (for stocks) - Market sentiment - Macro conditions ✅ **Risk Management** - **NEVER** risk more than 1-2% per trade - Always use stop losses - Calculate position size before entering - Have a clear exit strategy ### Common Pitfalls to Avoid ❌ **Don't** take every signal blindly ❌ **Don't** ignore the overall market trend ❌ **Don't** trade against strong momentum without confirmation ❌ **Don't** forget about major support/resistance levels ❌ **Don't** over-leverage based on indicator signals ❌ **Don't** ignore fundamental catalysts ### Best Practices ✅ **Wait for confluence**: Multiple indicators agreeing ✅ **Consider market context**: Bull/bear market conditions ✅ **Use appropriate timeframes**: Match your trading style ✅ **Backtest first**: Test on historical data before live trading ✅ **Keep a trading journal**: Track what works and what doesn't ✅ **Respect your risk management rules**: Always ## 📈 Example Trading Scenarios ### Scenario 1: Strong Trend Following - **Setup**: Green RSI consistently above 50, price in uptrend - **Confirmation**: Higher timeframe trend is up, price above major MA - **Entry**: BUY signal on pullback when green crosses red - **Stop Loss**: Below recent swing low - **Exit**: When red RSI crosses above green or divergence appears ### Scenario 2: Reversal Trading - **Setup**: Bullish divergence (DIV+) appears at support level - **Confirmation**: Price shows bullish candlestick pattern, other oscillators oversold - **Entry**: After confirmation candle closes - **Stop Loss**: Below divergence low - **Exit**: At resistance or when momentum weakens ### Scenario 3: Avoiding False Signals - **Signal**: BUY signal appears - **Check**: Price is at strong resistance, higher timeframe shows downtrend - **Action**: **SKIP the trade** - context overrides signal - **Result**: Protected capital by avoiding low-probability setup ## 🎓 Educational Use This indicator is designed to help traders: - Understand volume-based momentum - Identify shifts in market pressure - Learn about divergence patterns - Practice multi-indicator analysis **Remember**: No indicator is perfect. Markets are complex and influenced by countless factors. Use this tool as one piece of your trading puzzle, not as a standalone solution. ## 📞 Support & Updates - Report bugs or suggest features via comments - Check back for updates and improvements - Share your successful setups to help the community learn ## ⚖️ Legal Disclaimer **This indicator is for educational and informational purposes only.** - Not financial advice - Past performance does not guarantee future results - Trading involves substantial risk of loss - Only trade with money you can afford to lose - Consult with a licensed financial advisor before making investment decisions **The creator of this indicator assumes no responsibility for trading losses incurred through its use.** --- ## 🚀 Happy Trading! Remember: **Patience, discipline, and proper risk management** are more important than any indicator. Trade smart, trade safe! *If you find this indicator helpful, please leave a comment and share your experience!*
Indikator Pine Script®
oleh hasanaksoy199264
5
Multi-Symbol RSI Portfolio Simulator [Honestcowboy]The Multi-Symbol RSI Portfolio Simulator was build to test a theory, does the RSI indicator work in FOREX assets. Does it have predictive power. In this example the security function is used to fetch data for 40 different Forex pairs and it executes a very simple trading strategy. Sell when RSI hits 80, flatten if back below. Buy when RSI hits 20, flatten if back above. All executed on bar closes so no intra bar stuff. 🟦 🟦 🟦 Very Important Disclaimer This is a very crude indicator which does not calculate trading costs and assumes perfect execution of trades with zero slippage. Forex markets carry high risk and most CFD brokers ask high spreads and trading costs so this approach will most likely only work on the H4 or above Daily charts. We are observing market behaviour here, it's a study of price action not an executable ready strategy. Do your own cost analysis, simulation if you want to take this idea further. 🟦 What is the point? I build this indicator to prove that RSI indeed causes price action reactions especially on the intraday level in forex. Just like any study or paper not accounting for trading costs, this is just hypothetical and a starting point. 🟦 CALCULATION On each bar close it will check RSI value for each pair in the list. If one of the pairs meets the condition for a long or short it will open that trade on next bar open and hold it till close. Add the profits/losses to the equity line. And if condition still true on next bar do it again, this is a very crude simple form of testing. Tradingview strategy tester is superior but does not allow for multi-pair trading. Short Condition: RSI above 80 Short Exit: RSI below 70 Long Condition: RSI below 20 Long Exit: RSI above 30 The indicator also has 2 modes: Mean reversion and Trend mode. On default it uses Mean Reversion which is explained above. Trend mode does the exact opposite, so long above 80 short below 20. I've also included a table with a heatmap showing all the trading pairs the indicator uses, it's current RSI value and color based on how close indicator is to shorting or longing it from green to red with gray being middle so no direction. 🟦 USE CASES You can tweak the setting for different RSI values. Different RSI lengths and also freely change any trading pair inside the list to make your own test. I'm including some screenshots of tests here below:
Indikator Pine Script®
oleh Honestcowboy
HTB Reversal Pattern - RSI DivergenceHow this Script Works Pivot Points: The script looks for "peaks" and "valleys" in the RSI indicator. Divergence Logic: * Bullish: If the current price low is lower than the previous low, but the RSI low is higher than the previous RSI low, it indicates the selling pressure is fading despite the price drop. Bearish: If the current price high is higher than the previous high, but the RSI high is lower than the previous RSI high, it suggests buying momentum is weakening. The "Lookback" Offset: Because pivot points require a few bars to the right to be confirmed (defined by lbR), the labels will appear on the chart with a small delay (default is 5 bars). This is necessary to prevent "repainting" (signals that disappear after they appear).
Indikator Pine Script®
oleh hbhargava727
Elite Risk-On/Risk-Off Oscillator (6 pairs) The Elite Risk-On / Risk-Off Oscillator is a market-regime indicator designed to determine whether conditions favor aggressive risk-taking or defensive capital preservation rather than to predict price direction. It combines six carefully selected relative-strength pairs that measure risk appetite across the most important parts of the market: IEI/HYG (credit stress, weighted most heavily because credit often leads equities) SPHB/SPLV (equity risk appetite via high-beta versus low-volatility stocks) IWM/SPY (liquidity and growth sensitivity through small-caps versus large-caps) MTUM/QUAL (trend durability versus balance-sheet quality) XLY/XLP (consumer cyclicality, wants versus needs) EEM/SPY (global risk and dollar-sensitive capital flows) Each pair is evaluated using relative performance against a moving-average and slope filter to classify it as risk-on (+1), neutral (0), or risk-off (-1), with defensive ratios inverted so that positive readings always indicate risk-on conditions; the weighted signals are then aggregated, normalized to a -100 to +100 scale, and smoothed into a single oscillator. Readings above approximately +40 indicate a supportive risk-on environment where trends are more likely to persist, readings between -40 and +40 reflect transitional or choppy conditions with lower conviction, and readings below -40 signal a risk-off regime where capital preservation and defense should be prioritized. The indicator is intended as a context and position-sizing tool, helping traders align strategy aggressiveness with underlying market conditions rather than relying on forecasts or narratives.
Indikator Pine Script®
oleh RobertDun
Forecast OscillatorGeneral Overview The Forecast Oscillator Plus (FOSC+) is not just another oscillator. It is an advanced quantitative analysis tool developed to bridge the gap left by traditional momentum indicators (like RSI or Stochastic) which often suffer from "lag" or remain pinned in extreme zones during strong trends. This "Plus" version has been specifically engineered and optimized for high-velocity scalping and day-trading on assets like NAS100 (Nasdaq) and XAUUSD (Gold) using ultra-short timeframes (1-min, 5-min). 🛡️ Why is FOSC+ Different? 1. Linear Regression Intelligence At the heart of this script is a powerful Linear Regression (LinReg) engine. Instead of comparing price to a simple average, FOSC+ calculates the percentage deviation between the current price and its predicted theoretical trajectory. This allows the indicator to identify not just if the price is "high" or "low," but if it is abnormally distanced from its current trend, signaling an imminent Mean Reversion. 2. Adaptive Dynamic Bands (Volatility-Adjusted) A major weakness of classic oscillators is the use of fixed levels (e.g., 80/20). FOSC+ utilizes Standard Deviation to generate overbought and oversold zones that "breathe" with the market. During high volatility, the bands expand to filter out noise and premature entries. During low volatility, they tighten to capture precise turning points. 3. Institutional Volume Filter (Anti-Fakeout) To succeed in the Nasdaq market, you must follow the "Smart Money." This script integrates a Volume Spike Filter. A signal (Buy/Sell) is only triggered if the current candle's volume is significantly higher than its moving average (adjustable multiplier). This ensures you only enter trades backed by real institutional strength. 4. Algo-Ready for PineConnector The code has been structured for seamless automation. With built-in EMA smoothing to reduce 1-minute "market chatter," the signals are clean and sharp, minimizing execution errors when sending orders to MetaTrader 5 via PineConnector. 📈 Technical Trading Guide Buy Signals (Green Triangle): Occur when the oscillator crosses above the dynamic oversold band OR crosses back above the zero line, provided that volume confirms the impulse. Sell Signals (Red Triangle): Occur when the oscillator crosses below the dynamic overbought band OR breaks below the zero line from above, with volume confirmation. Momentum Histogram: The colored columns indicate acceleration strength. Excellent for Trailing Stops: as long as the histogram is growing, the momentum is in your favor!. ⚙️ Recommended Parameters Length (14): The "Sweet Spot" for balancing reactivity and reliability. Smooth Len (4): Essential for 1-min charts to eliminate micro-fluctuations without adding lag. Volume Mult (1.15): Filters out the bottom 15% of volume to keep only significant candles. ⚠️ Stress-Tested for Real Conditions This script has been rigorously backtested with Slippage settings ranging from 10 to 25 points. Even under difficult market conditions with high spreads, the indicator maintains a positive expectancy, making it a premier tool for traders using Standard or Raw accounts.
Indikator Pine Script®
oleh XtraKosack
Adaptive RSI [BOSWaves]Adaptive RSI - Percentile-Based Momentum Detection with Dynamic Regime Thresholds Overview Adaptive RSI is a self-calibrating momentum oscillator that identifies overbought and oversold conditions through historical percentile analysis, constructing dynamic threshold boundaries that adjust to evolving market volatility and momentum characteristics. Instead of relying on traditional fixed RSI levels (30/70 or 20/80) or static overbought/oversold zones, regime detection, threshold placement, and signal generation are determined through rolling percentile calculation, smoothed momentum measurement, and divergence pattern recognition. This creates adaptive boundaries that reflect actual momentum distribution rather than arbitrary fixed levels - tightening during low-volatility consolidation periods, widening during trending environments, and incorporating divergence analysis to reveal momentum exhaustion or continuation patterns. Momentum is therefore evaluated relative to its own historical context rather than universal fixed thresholds. Conceptual Framework Adaptive RSI is founded on the principle that meaningful momentum extremes emerge relative to recent price behavior rather than at predetermined numerical levels. Traditional RSI implementations identify overbought and oversold conditions using fixed thresholds that remain constant regardless of market regime, often generating premature signals in strong trends or missing reversals in range-bound markets. This framework replaces static threshold logic with percentile-driven adaptive boundaries informed by actual momentum distribution. Three core principles guide the design: Threshold placement should correspond to historical momentum percentiles, not fixed numerical levels. Regime detection must adapt to current market volatility and momentum characteristics. Divergence patterns reveal momentum exhaustion before price reversal becomes visible. This shifts oscillator analysis from universal fixed levels into adaptive, context-aware regime boundaries. Theoretical Foundation The indicator combines smoothed RSI calculation, rolling percentile tracking, adaptive threshold construction, and multi-pattern divergence detection. A Hull Moving Average (HMA) pre-smooths the price source to reduce noise before RSI computation, which then undergoes optional post-smoothing using configurable moving average types. Confirmed oscillator values populate a rolling historical buffer used for percentile calculation, establishing upper and lower thresholds that adapt to recent momentum distribution. Regime state persists until the oscillator crosses the opposing threshold, preventing whipsaw during consolidation. Pivot detection identifies swing highs and lows in both price and oscillator values, enabling regular divergence pattern recognition through comparative analysis. Five internal systems operate in tandem: Smoothed Momentum Engine : Computes HMA-preprocessed RSI with optional post-smoothing using multiple MA methodologies (SMA, EMA, HMA, WMA, DEMA, RMA, LINREG, TEMA). Historical Buffer Management : Maintains a rolling array of confirmed oscillator values for percentile calculation with configurable lookback depth. Percentile Threshold Calculation : Determines upper and lower boundaries by extracting specified percentile values from sorted historical distribution. Persistent Regime Detection : Establishes bullish/bearish/neutral states based on threshold crossings with state persistence between signals. Divergence Pattern Recognition : Identifies regular bullish and bearish divergences through synchronized pivot analysis of price and oscillator values with configurable range filtering. This design allows momentum interpretation to adapt to market conditions rather than reacting mechanically to universal thresholds. How It Works Adaptive RSI evaluates momentum through a sequence of self-calibrating processes: Source Pre-Smoothing: Input price undergoes 4-period HMA smoothing to reduce bar-to-bar noise before oscillator calculation. RSI Calculation: Standard RSI computation applied to smoothed source over configurable length period. Optional Post-Smoothing: Raw RSI value undergoes additional smoothing using selected MA type and length for cleaner regime detection. Historical Buffer Population: Confirmed oscillator values accumulate in a rolling array with size limit determined by adaptive lookback parameter. Percentile Threshold Extraction: Array sorts on each bar to calculate upper percentile (bullish threshold) and lower percentile (bearish threshold) values. Regime State Persistence: Bullish regime activates when oscillator crosses above upper threshold, bearish regime activates when crossing below lower threshold, neutral regime persists until directional threshold breach. Pivot Identification: Swing highs and lows detected in both oscillator and price using configurable left/right parameters. Divergence Pattern Matching: Compares pivot relationships between price and oscillator within min/max bar distance constraints to identify regular bullish (price LL, oscillator HL) and bearish (price HH, oscillator LH) divergences. Together, these elements form a continuously updating momentum framework anchored in statistical context. Interpretation Adaptive RSI should be interpreted as context-aware momentum boundaries: Bullish Regime (Blue): Activated when oscillator crosses above upper percentile threshold, indicating momentum strength relative to recent distribution favors upside continuation. Bearish Regime (Red): Established when oscillator crosses below lower percentile threshold, identifying momentum weakness relative to recent distribution favors downside continuation. Upper Threshold Line (Blue)**: Dynamic resistance level calculated from upper percentile of historical oscillator distribution - adapts higher during trending markets, lower during ranging conditions. Lower Threshold Line (Red): Dynamic support level calculated from lower percentile of historical oscillator distribution - adapts lower during downtrends, higher during consolidation. Regime Fill: Gradient coloring between oscillator and baseline (50) visualizes current momentum intensity - stronger color indicates greater distance from neutral. Extreme Bands (15/85): Upper and lower extreme zones with strength-modulated transparency reveal momentum extremity - darker shading during powerful moves, lighter during moderate momentum. Divergence Lines: Connect price and oscillator pivots when divergence pattern detected, appearing on both price chart and oscillator pane for confluence identification. Reversal Markers (✦): Diamond signals appear at 80+ (bearish extreme) and sub-15 (bullish extreme) levels, marking potential exhaustion zones independent of regime state. Percentile context, divergence confirmation, and regime persistence outweigh isolated oscillator readings. Signal Logic & Visual Cues Adaptive RSI presents four primary interaction signals: Regime Switch - Long : Oscillator crosses above upper percentile threshold after previously being in bearish or neutral regime, suggesting momentum strength shift favoring bullish continuation. Regime Switch - Short : Oscillator crosses below lower percentile threshold after previously being in bullish or neutral regime, indicating momentum weakness shift favoring bearish continuation. Regular Bullish Divergence (𝐁𝐮𝐥𝐥) : Price forms lower low while oscillator forms higher low, revealing positive momentum divergence during downtrends - often precedes reversal or consolidation. Regular Bearish Divergence (𝐁𝐞𝐚𝐫) : Price forms higher high while oscillator forms lower high, revealing negative momentum divergence during uptrends - often precedes reversal or correction. Alert generation covers regime switches, threshold crossings, and divergence detection for systematic monitoring. Strategy Integration Adaptive RSI fits within momentum-informed and mean-reversion trading approaches: Adaptive Regime Following : Use threshold crossings as primary trend inception signals where momentum confirms directional breakouts within statistical context. Divergence-Based Reversals : Enter counter-trend positions when divergence patterns appear at extreme oscillator levels (above 80 or below 20) for high-probability mean-reversion setups. Threshold-Aware Scaling : Recognize that tighter percentile spreads (e.g., 45/50) generate more signals suitable for ranging markets, while wider spreads (e.g., 30/70) filter for stronger trend confirmation. Extreme Zone Confluence : Combine reversal markers (✦) with divergence signals for maximum-conviction exhaustion entries. Multi-Timeframe Regime Alignment : Apply higher-timeframe regime context to filter lower-timeframe entries, taking only setups aligned with dominant momentum direction. Smoothing Optimization : Increase smoothing length in choppy markets to reduce false signals, decrease in trending markets for faster response. Technical Implementation Details Core Engine : HMA-preprocessed RSI with configurable smoothing (SMA, HMA, EMA, WMA, DEMA, RMA, LINREG, TEMA) Adaptive Model : Rolling percentile calculation over confirmed oscillator values with size-limited historical buffer Threshold Construction : Linear interpolation percentile extraction from sorted distribution array Regime Detection : State-persistent threshold crossing logic with confirmed bar validation Divergence Engine : Pivot-based pattern matching with range filtering and duplicate prevention Visualization : Gradient-filled regime zones, adaptive threshold lines, strength-modulated extreme bands, dual-pane divergence lines Performance Profile : Optimized for real-time execution with efficient array management and minimal computational overhead Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Micro-structure momentum detection for scalping and intraday reversals 15 - 60 min : Intraday regime identification with divergence-validated turning points 4H - Daily : Swing and position-level momentum analysis with macro divergence context Suggested Baseline Configuration: RSI Length : 18 Source : Close Smooth Oscillator : Enabled Smoothing Length : 20 Smoothing Type : SMA Adaptive Lookback : 1000 Upper Percentile : 50 Lower Percentile : 45 Divergence Pivot Left : 15 Divergence Pivot Right : 15 Min Pivot Distance : 5 Max Pivot Distance : 60 These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volatility profile, momentum characteristics, and preferred signal frequency, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Too many whipsaw signals : Widen percentile spread (e.g., 40/60 instead of 45/50) to demand stronger momentum confirmation, or increase "Smoothing Length" to filter noise. Missing legitimate regime changes : Tighten percentile spread (e.g., 48/52 instead of 45/50) for earlier detection, or decrease "Smoothing Length" for faster response. Oscillator too choppy : Increase "Smoothing Length" for cleaner readings, or switch "Smoothing Type" to RMA/TEMA for heavier smoothing. Thresholds not adapting properly : Reduce "Adaptive Lookback" to emphasize recent behavior (500-800 bars), or increase it for more stable thresholds (1500-2000 bars). Too many divergence signals : Increase "Pivot Left/Right" values to demand stronger swing confirmation, or widen "Min Pivot Distance" to space out detections. Missing significant divergences : Decrease "Pivot Left/Right" for faster pivot detection, or increase "Max Pivot Distance" to compare more distant swings. Prefer different momentum sensitivity : Adjust "RSI Length" - lower values (10-14) for aggressive response, higher values (21-28) for smoother trend confirmation. Divergences appearing too late : Reduce "Pivot Right" parameter to detect divergences closer to current price action. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Markets with mean-reverting characteristics and consistent momentum cycles Instruments where momentum extremes reliably precede reversals or consolidations Ranging environments where percentile-based thresholds adapt to volatility contraction Divergence-driven strategies targeting momentum exhaustion before price confirmation Reduced Effectiveness: Extremely strong trending markets where oscillator remains persistently extreme Low-liquidity environments with erratic momentum readings News-driven or gapped markets where momentum disconnects from price temporarily Markets with regime shifts faster than adaptive lookback can recalibrate Integration Guidelines Confluence : Combine with BOSWaves structure, volume analysis, or traditional support/resistance Threshold Respect : Trust signals that occur after clean threshold crossings with sustained momentum Divergence Context : Prioritize divergences appearing at extreme oscillator levels (80+/15-) over those in neutral zones Regime Awareness : Consider whether current market regime matches historical momentum patterns used for calibration Multi-Pattern Confirmation : Seek divergence patterns coinciding with reversal markers or threshold rejections for maximum conviction Disclaimer Adaptive RSI is a professional-grade momentum and divergence analysis tool. It uses percentile-based threshold calculation that adapts to recent market behavior but cannot predict future regime shifts or guarantee reversal timing. Results depend on market conditions, parameter selection, lookback period appropriateness, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, volume context, and comprehensive risk management.
Indikator Pine Script®
oleh BOSWaves
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