Inizia

Indicatori e strategie

Crypto Risk-Weighted Allocation SuiteCrypto Risk-Weighted Allocation Suite This indicator is designed to help users explore dynamic portfolio allocation frameworks for the crypto market. It calculates risk-adjusted allocation weights across major crypto sectors and cash based on multi-factor momentum and volatility signals. Best viewed on INDEX:BTCUSD 1D chart. Other charts and timeframes may give mixed signals and incoherent allocations. 🎯 How It Works This model systematically evaluates the relative strength of: BTC Dominance (CRYPTOCAP:BTC.D) Represents Bitcoin’s share of the total crypto market. Rising dominance typically indicates defensive market phases or BTC-led trends. ETH/BTC Ratio (BINANCE:ETHBTC) Gauges Ethereum’s relative performance versus Bitcoin. This provides insight into whether ETH is leading risk appetite. SOL/BTC Ratio (BINANCE:SOLBTC) Measures Solana’s performance relative to Bitcoin, capturing mid-cap layer-1 strength. Total Market Cap excluding BTC and ETH (CRYPTOCAP:TOTAL3ES) Represents Altcoins as a broad category, reflecting appetite for higher-risk assets. Each of these series is: ✅ Converted to a momentum slope over a configurable lookback period. ✅ Standardized into Z-scores to normalize changes relative to recent behavior. ✅ Smoothed optionally using a Hull Moving Average for cleaner signals. ✅ Divided by ATR-based volatility to create a risk-weighted score. ✅ Scaled to proportionally allocate exposure, applying user-configured minimum and maximum constraints. 🪙 Dynamic Allocation Logic All signals are normalized to sum to 100% if fully confident. An overall confidence factor (based on total signal strength) scales the allocation up or down. Any residual is allocated to cash (unallocated capital) for conservative exposure. The script automatically avoids “all-in” bias and prevents negative allocations. 📊 Outputs The indicator displays: Market Phase Detection (which asset class is currently leading) Risk Mode (Risk On, Neutral, Risk Off) Dynamic Allocations for BTC, ETH, SOL, Alts, and Cash Optional momentum plots for transparency 🧠 Why This Is Unique Unlike simple dominance indicators or crossovers, this model: Integrates multiple cross-asset signals (BTC, ETH, SOL, Alts) Adjusts exposure proportionally to signal strength Normalizes by volatility, dynamically scaling risk Includes configurable constraints to reflect your own risk tolerance Provides a cash fallback allocation when conviction is low Is entirely non-repainting and based on daily closing data ⚠️ Disclaimer This script is provided for educational and informational purposes only. It is not financial advice and should not be relied upon to make investment decisions. Past performance does not guarantee future results. Always consult a qualified financial advisor before acting on any information derived from this tool. 🛠 Recommended Use As a framework to visualize relative momentum and risk-adjusted allocations For research and backtesting ideas on portfolio allocation across crypto sectors To help build your own risk management process This script is not a turnkey strategy and should be customized to fit your goals. ✅ Enjoy exploring dynamic crypto allocations responsibly!
Indicatore Pine Script®
di RWCS_LTD
Low Price RSI CrossoverThis Pine Script indicator is a Multi-Timeframe Low RSI Crossover system that combines three key filtering criteria to identify high-probability buy signals. Here's what it does: Core Concept The indicator only generates buy signals when all three conditions are met simultaneously: Price at Multi-Period Low: Current price must be at or near the lowest point within your selected timeframe (1 week to 5 years, or custom) RSI Momentum Shift: The smoothed RSI must cross above its signal line (EMA), indicating upward momentum Below Threshold Entry: Both the RSI and its signal line must be below your threshold level (default 50) when the crossover occurs Key Features RSI Smoothing: Uses Hull Moving Average (HMA) to smooth the raw RSI, reducing noise and false signals while maintaining responsiveness. Flexible Timeframes: Choose from predefined periods (1W, 2W, 3W, 1M, 2M, 3M, 6M, 9M, 1Y, 2Y, 3Y, 5Y) or set a custom number of bars. Visual Feedback: Plots the smoothed RSI (blue line) and its signal line (red line) Shows threshold and overbought levels Highlights signal bars with green background Displays tiny green triangles at signal points Real-time status table showing all conditions Trading Logic This is essentially a mean-reversion strategy that waits for: Price to reach significant lows (value zone) Momentum to start shifting upward (RSI crossover) Entry from oversold/neutral territory (below 50 RSI) Why This Works By requiring price to be at multi-period lows, you avoid buying during downtrends or sideways chop. The RSI crossover confirms that selling pressure is starting to ease, while the threshold filter ensures you're not buying into overbought conditions. The combination of these filters should significantly reduce false signals compared to using any single indicator alone.
Indicatore Pine Script®
di parkerberlinger
Logistic Regression ICT FVG🚀 OVERVIEW Welcome to the Logistic Regression Fair Value Gap (FVG) System — a next-gen trading tool that blends precision gap detection with machine learning intelligence. Unlike traditional FVG indicators, this one evolves with each bar of price action, scoring and filtering gaps based on real market behavior. 🔧 CORE FEATURES ✨ Smart Gap Detection Automatically identifies bullish and bearish Fair Value Gaps using volatility-aware candle logic. 📊 Probability-Based Filtering Uses logistic regression to assign each gap a confidence score (0 to 1), showing only high-probability setups. 🔁 Real-Time Retest Tracking Continuously watches how price interacts with each gap to determine if it deserves respect. 📈 Multi-Factor Assessment Evaluates RSI, MACD, and body size at gap formation to build a full context snapshot. 🧠 Self-Learning Engine The logistic regression model updates on each bar using gradient descent, refining its predictions over time. 📢 Built-In Alerts Get instant alerts when a gap forms, gets retested, or breaks. 🎨 Custom Display Options Control the color of bullish/bearish zones, and toggle on/off probability labels for cleaner charts. 🚩 WHAT MAKES IT DIFFERENT This isn’t just another box-drawing indicator. While others mark every imbalance, this system thinks before it draws — using statistical modeling to filter out noise and prioritize high-impact zones. By learning from how price behaves around gaps (not just how they form), it helps you trade only what matters — not what clutters. ⚙️ HOW IT WORKS 1️⃣ Detection FVGs are identified using ATR-based thresholds and sharp wick imbalances. 2️⃣ Behavior Monitoring Every gap is tracked — and if respected enough times, it becomes part of the elite training set. 3️⃣ Context Capture Each new FVG logs RSI, MACD, and body size to provide a feature-rich context for prediction. 4️⃣ Prediction (Logistic Regression) The model predicts how likely the gap is to be respected and assigns it a probability score. 5️⃣ Classification & Alerts Gaps above the threshold are plotted with score labels, and alerts trigger for entry/respect/break. ⚙️ CONFIGURATION PANEL 🔧 System Inputs • Max Retests – How many times a gap must be respected to train the model • Prediction Threshold – Minimum score to show a gap on the chart • Learning Rate – Controls how fast the model adapts (default: 0.009) • Max FVG Lifetime – Expiration duration for unused gaps • Show Historic Gaps – Show/hide expired or invalidated gaps 🎨 Visual Options • Bullish/Bearish Colors – Set gap colors to fit your chart style • Confidence Labels – Show probability scores next to FVGs • Alert Toggles – Enable alerts for:   – New FVG detected   – FVG respected (entry)   – FVG invalidated (break) 💡 WHY LOGISTIC REGRESSION? Traditional FVG tools rely on candle shapes. This system relies on probability — by training on RSI, MACD, and price behavior, it predicts whether a gap will act as a true liquidity zone. Logistic regression lets the system continuously adapt using new data, making it more accurate the longer it runs. That means smarter signals, fewer false positives, and a clearer view of where real opportunities lie.
Indicatore Pine Script®
di PalgoTrading
Altcoin Liquidity Flow Score - Big Moves Only//@version=6 indicator("Altcoin Liquidity Flow Score - Big Moves Only", overlay=false) // Pull weekly macro data walcl = request.security("FRED:WALCL", "W", close) rrp = request.security("FRED:RRPONTSYD", "W", close) tga = request.security("FRED:WDTGAL", "W", close) hyg = request.security("AMEX:HYG", "W", close) total3 = request.security("CRYPTOCAP:TOTAL3", "W", close) usdt_d = request.security("CRYPTOCAP:USDT.D", "W", close) // Calculate week-over-week change delta_liquidity = ta.change(walcl + rrp - tga) delta_rrp = ta.change(rrp) delta_hyg = ta.change(hyg) delta_total3 = ta.change(total3) delta_usdt_d = ta.change(usdt_d) // Compute raw score raw_score = delta_liquidity - delta_rrp + delta_hyg + delta_total3 - delta_usdt_d // Apply 3-week smoothing score = ta.ema(raw_score, 3) // Define threshold for major liquidity shift threshold = 2.0 // Plot score + background for only strong signals plot(score, title="Liquidity Flow Score (Smoothed)", color=color.teal, linewidth=2) hline(0, "Zero Line", color=color.gray) bgcolor(score > threshold ? color.new(color.green, 85) : score < -threshold ? color.new(color.red, 85) : na)
Indicatore Pine Script®
di shreejitnair18
1
Greer Book Value Yield📘 Script Title Greer Book Value Yield – Valuation Insight Based on Balance Sheet Strength 🧾 Description Greer Book Value Yield is a valuation-focused indicator in the Greer Financial Toolkit, designed to evaluate how much net asset value (book value) a company provides per share relative to its current market price. This script calculates the Book Value Per Share Yield (BV%) using the formula: Book Value Yield (%) = Book Value Per Share ÷ Stock Price × 100 This yield helps investors assess whether a stock is trading at a discount or premium to its underlying assets. It dynamically highlights when the yield is: 🟢 Above its historical average (potentially undervalued) 🔴 Below its historical average (potentially overvalued) 🔍 Use Case Analyze valuation through asset-based metrics Identify buy opportunities when book value yield is historically high Combine with other scripts in the Greer Financial Toolkit: 📘 Greer Value – Tracks year-over-year growth consistency across six key metrics 📊 Greer Value Yields Dashboard – Visualizes multiple valuation-based yields 🟢 Greer BuyZone – Highlights long-term technical buy zones 🛠️ Inputs & Data Uses Book Value Per Share (BVPS) from TradingView’s financial database (Fiscal Year) Calculates and compares against a static average yield to assess historical valuation Clean visual feedback via dynamic coloring and overlays ⚠️ Disclaimer This tool is for educational and informational purposes only and should not be considered financial advice. Always conduct your own research before making investment decisions.
Indicatore Pine Script®
di controllinghand
Greer EPS Yield📘 Script Title Greer EPS Yield – Valuation Insight Based on Earnings Productivity 🧾 Description Greer EPS Yield is a valuation-focused indicator from the Greer Financial Toolkit, designed to evaluate how efficiently a company generates earnings relative to its current stock price. This script calculates the Earnings Per Share Yield (EPS%), using the formula: EPS Yield (%) = Earnings Per Share ÷ Stock Price × 100 This yield metric provides a quick snapshot of valuation through the lens of profitability per share. It dynamically highlights when the EPS yield is: 🟢 Above its historical average (potentially undervalued) 🔴 Below its historical average (potentially overvalued) 🔍 Use Case Quickly assess valuation attractiveness based on earnings yield. Identify potential buy opportunities when EPS% is above its long-term average. Combine with other indicators in the Greer Financial Toolkit for a fundamentals-driven investment strategy: 📘 Greer Value – Tracks year-over-year growth consistency across six key metrics 📊 Greer Value Yields Dashboard – Visualizes valuation-based yield metrics 🟢 Greer BuyZone – Highlights long-term technical buy zones 🛠️ Inputs & Data Uses fiscal year EPS data from TradingView’s built-in financial database. Tracks a static average EPS Yield to compare current valuation to historical norms. Clean, intuitive visual with automatic color coding. ⚠️ Disclaimer This tool is for educational and informational purposes only and should not be considered financial advice. Always conduct your own research before making investment decisions.
Indicatore Pine Script®
di controllinghand
ArraysAssorted🟩 OVERVIEW This library provides utility methods for working with arrays in Pine Script. The first method finds extreme values (highest/lowest) within a rolling lookback window and returns both the value and its position. I might extend the library for other ad-hoc methods I use to work with arrays. 🟩 HOW TO USE Pine Script libraries contain reusable code for importing into indicators. You do not need to copy any code out of here. Just import the library and call the method you want. For example, for version 1 of this library, import it like this: import SimpleCryptoLife/ArraysAssorted/1 See the EXAMPLE USAGE sections within the library for examples of calling the methods. You do not need permission to use Pine libraries in your open-source scripts. However, you do need explicit permission to reuse code from a Pine Script library’s functions in a public protected or invite-only publication . In any case, credit the author in your description. It is also good form to credit in open-source comments. For more information on libraries and incorporating them into your scripts, see the Libraries section of the Pine Script User Manual. 🟩 METHOD 1: m_getHighestLowestFloat() Finds the highest or lowest float value from an array. Simple enough. It also returns the index of the value as an offset from the end of the array. • It works with rolling lookback windows, so you can find extremes within the last N elements • It includes an offset parameter to skip recent elements if needed • It handles edge cases like empty arrays and invalid ranges gracefully • It can find either the first or last occurrence of the extreme value We also export two enums whose sole purpose is to look pretty as method arguments. method m_getHighestLowestFloat(_self, _highestLowest, _lookbackBars, _offset, _firstLastType) Namespace types: array This method finds the highest or lowest value in a float array within a rolling lookback window, and returns the value along with the offset (number of elements back from the end of the array) of its first or last occurrence. Parameters: _self (array) : The array of float values to search for extremes. _highestLowest (HighestLowest) : Whether to search for the highest or lowest value. Use the enum value HighestLowest.highest or HighestLowest.lowest. _lookbackBars (int) : The number of array elements to include in the rolling lookback window. Must be positive. Note: Array elements only correspond to bars if the consuming script always adds exactly one element on consecutive bars. _offset (int) : The number of array elements back from the end of the array to start the lookback window. A value of zero means no offset. The _offset parameter offsets both the beginning and end of the range. _firstLastType (FirstLast) : Whether to return the offset of the first (lowest index) or last (highest index) occurrence of the extreme value. Use FirstLast.first or FirstLast.last. Returns: (tuple) A tuple containing the highest or lowest value and its offset -- the number of elements back from the end of the array. If not found, returns . NOTE: The _offsetFromEndOfArray value is not affected by the _offset parameter. In other words, it is not the offset from the end of the range but from the end of the array. This number may or may not have any relation to the number of *bars* back, depending on how the array is populated. The calling code needs to figure that out. EXPORTED ENUMS HighestLowest Whether to return the highest value or lowest value in the range. • highest : Find the highest value in the specified range • lowest : Find the lowest value in the specified range FirstLast Whether to return the first (lowest index) or last (highest index) occurrence of the extreme value. • first : Return the offset of the first occurrence of the extreme value • last : Return the offset of the last occurrence of the extreme value
Libreria Pine Script®
di SimpleCryptoLife
CCI Trading SystemCCI Trading System with Signal Bar Coloring Overview This indicator combines the classic Commodity Channel Index (CCI) oscillator with visual signal detection and bar coloring to help traders identify potential momentum shifts and trading opportunities. Features CCI Oscillator Display: Shows CCI values in a separate pane with customizable period length Adjustable Thresholds: User-defined buy and sell levels (default: -100 buy, +100 sell) Visual Signal Detection: Triangle markers indicate crossover points Bar Coloring: Highlights only the bars where actual buy/sell signals occur Zone Highlighting: Background colors show overbought/oversold conditions Real-time Information Table: Displays current CCI value, thresholds, and signal status Built-in Alerts: Notification system for signal generation How It Works The indicator generates signals based on CCI threshold crossovers: Buy Signal: Triggered when CCI crosses above the buy threshold (lime bar coloring) Sell Signal: Triggered when CCI crosses below the sell threshold (red bar coloring) Input Parameters CCI Length: Period for CCI calculation (default: 20) Buy Threshold: Level for buy signal generation (default: -100) Sell Threshold: Level for sell signal generation (default: +100) Enable Bar Coloring: Toggle for chart bar coloring Show Signals: Toggle for signal markers Usage Guidelines Adjust thresholds based on your trading timeframe and volatility preferences Use in conjunction with other technical analysis tools for confirmation Consider market context and trend direction when interpreting signals The -200/+200 levels serve as additional reference points for extreme conditions Educational Purpose This indicator is designed for educational and analysis purposes. It demonstrates how CCI can be used to identify potential momentum shifts in price action. The visual elements help traders understand the relationship between CCI values and price movements. Risk Disclaimer This indicator is a technical analysis tool and does not guarantee profitable trades. Past performance does not indicate future results. Always conduct your own analysis and consider risk management principles. Trading involves substantial risk of loss and is not suitable for all investors. Technical Notes Uses Pine Script v5 Plots CCI with standard deviation-based calculation Includes crossover/crossunder functions for signal generation Features conditional bar coloring for signal visualization Incorporates alert conditions for automated notifications This script is open source and available for modification and educational use.
Indicatore Pine Script®
di profitgang
YTPBTC1HATRSSADXTitle: High-Precision Breakout ATR Trailing Strategy with ADX Filtering for BTC 1H Description: YTPBTC1HATRSSADX is a precision-engineered 1-hour BTC breakout strategy utilizing adaptive ATR-based stop systems and optional ADX filtering to enhance trade quality and dynamic risk management. The system enters positions upon confirmed breakouts above/below N-period highs/lows, while aligning with trend conditions determined by a long-term RMA filter. Key features: ✅ Adaptive ATR stop management with dual-phase logic: initial stop placement followed by dynamic trailing after reaching profit thresholds. ✅ Optional ADX filtering to confirm directional strength before entry, reducing false signals during choppy markets. ✅ Dynamic pullback-based take-profit system, locking in profits during high volatility conditions without sacrificing upside potential. ✅ Clear on-chart visualization of entry levels, ATR stops, breakout levels, and trend background color for intuitive monitoring. ✅ Fully parameterized for ATR period, multiplier, breakout period, RMA trend period, ADX threshold, and pullback settings to adjust according to market conditions. This strategy is designed for traders seeking robust trend-following breakout entries while systematically managing risk with ATR and maximizing profit potential through trailing and pullback exit logic. Ideal for BTC perpetual futures and margin trading environments requiring disciplined execution. Test on BTCUSDTPERP 1H to explore its consistency across different volatility regimes, and adjust parameters to align with your risk appetite and capital allocation strategies.
Strategia Pine Script®
di gakuchuuwa
Custom Daily Session Zones by KoenigseggCustom Daily Session Zones 🟣 Description This indicator displays customizable trading session time zones as background highlights on your chart, on any timeframe you choose. The inline info tooltip provides the precise start and end times of the three largest market sessions—the US, the EU, and ASIA—for quick reference. It provides flexible control over session times for different days of the week, making it ideal for traders who need to visualize specific market hours or trading sessions. 🟣 Key Features - Flexible Session Configuration: Set a common session time for all days or customize individual sessions for each day of the week - Per-Day Control: Enable or disable sessions for specific days (Monday through Sunday) - Color Customization: Choose unique colors for each day's session zones - UTC Timezone Standard: All session times are defined in UTC to ensure consistency across charts - Clean Visual Display: Non-intrusive background highlighting that doesn't interfere with price action 🟣 How to Use - Common Session Mode: Use the default mode to apply the same session time across all enabled days - Manual Per-Day Mode: Enable "Manual per-day sessions" to set different session times for each day - Day Selection: Toggle individual days on/off based on your trading schedule - Color Coding: Customize colors for each day to easily distinguish between different sessions 🟣 Technical Details - Uses Pine Script v6 for optimal performance - Implements proper session time detection using TradingView's built-in time functions - Operates in UTC timezone for all session calculations - Lightweight code that doesn't impact chart performance 🟣 Use Cases - Highlight specific trading sessions (London, New York, Tokyo, etc.) - Mark important market hours for your trading strategy - Visualize different session overlaps - Create custom trading time windows - Track market activity during specific hours 🟣 Compatibility - Works on all timeframes - Compatible with all asset classes (Forex, Stocks, Crypto, Futures, etc.) - Supports all TradingView chart types - Responsive design that adapts to different screen sizes 🟣 Image Descriptions - First Image (main image): Shows multiple New York Stock Exchange sessions from 1:30 p.m. to 8:00 p.m. (UTC), on the 15-minute timeframe, with each day’s zone colored differently to demonstrate the indicator’s customizable color settings. - Second Image: A zoomed‑in fractal chart view of the same New York session on the 15-minute timeframe, illustrating how the background session zone appears even at higher detail levels. Third Image: A close‑up of the New York session (1:30 p.m. to 8:00 p.m.) on the 3-minute timeframe, reaffirming the consistency of zone highlighting across different zoom levels. 🟣 Future Updates (v2) In the next release, you’ll be able to define multiple session blocks per day—displaying two distinct colored zones within the same trading day. This will help you visualize when one market session ends and another begins without losing chart clarity. 🟣 Conclusion This indicator is perfect for traders who need precise control over Market Session visualization and want to maintain a clean, professional chart appearance. 🟣 Disclaimer This script is provided for educational and illustrative purposes only. It is not financial or trading advice, nor a recommendation to buy or sell any asset. Always conduct your own research and consult a professional before making any trading decisions.
Indicatore Pine Script®
di CryptoPandaTA
Samil Dogru SmartTrailing v1.1📘 Samil Dogru SmartTrailing v1.1 – BTCUSDT Optimized Strategy (15-Minute) Samil Dogru SmartTrailing v1.1 is an advanced trend-tracking and profit-locking strategy, specifically optimized for BTCUSDT on the 15-minute timeframe. It integrates dynamic price following, intelligent trailing exit after trigger activation, and protective hard-stop loss logic to maximize profit while limiting downside risk. ⚙️ Core Strategy Logic: Entry Signal: Based on a crossover of HMA100 and HMA200, filtered by the trend direction of HMA500 and HMA1000 (cloud logic). Trigger Mechanism: When price moves a user-defined percentage (e.g., +1.2%) from the entry, the trailing logic is activated. Smart Trailing Exit: Once triggered, the strategy tracks new highs (for long) or new lows (for short). A trailing stop is dynamically updated. If price pulls back by the defined margin (e.g., 0.8%), the position exits. Hard Stop (Pre-Trigger): If price moves adversely by a defined percentage (e.g., 2.5%) before the trigger is hit, the position is forcefully exited to protect capital. 📊 Performance Note: On BTCUSDT with 15-minute candles, historical testing has shown: High directional accuracy Optimized entry and exit timing Improved profit retention with minimal user intervention This setup is ideal for semi-automated swing scalping within structured trend conditions. 📎 User Controls: All percentages are user-defined: Trigger Threshold (%) Trailing Margin (%) Maximum Loss (%) before trigger Trailing logic is active only after the trigger level is reached. One position at a time (pyramiding=0). ⚠️ Disclaimer: This strategy is not financial advice. While historical performance is promising, future results are not guaranteed. Always test in a simulated environment before deploying real capital. Use proper position sizing and risk management.
Strategia Pine Script®
di ALCIVOOO
GX Credit Spread SignalThe GX Credit Spread Signal is an advanced indicator designed for traders who trade options strategies on the SPX index, especially using vertical credit spreads. It combines traditional technical analysis with volatility and option pricing concepts to provide relevant signals and projections on the chart. Main features: Trend analysis: Uses opening gap, position relative to VWAP and simple moving average (SMA 50) to indicate bullish or bearish bias right after the first 15-minute candle. Safe range projection: Calculates a range based on the ATR (Average True Range) multiplied by a safety factor, suggesting potential strikes for credit spreads. Quantitative estimates: Calculates the estimated delta of options via the Black-Scholes formula approximation. Estimated probability of expiring out of the money (OTM). Chart visualizations: Displays projected ATR lines, previous day's levels (high, low, close) and an informative panel with strikes, delta, OTM probability, ATR and VWAP data. Configurable alerts: Notifications for detected bullish or bearish bias, helping the trader to identify opportunities quickly. This indicator is ideal for those who day trade with SPX options, facilitating decision-making by combining technical analysis, volatility and option probabilities in one place.
Indicatore Pine Script®
di GustavoBA
Gabriel's Relative Strength IndexGabriel’s RSI—The Reinvention of Relative Strength Not your average RSI. This is a fully reengineered Relative Strength Index that merges the power of advanced signal processing, adaptive smoothing, volume dynamics, and intelligent divergence detection into a single, modular toolkit designed for precision trading across all markets. Whether you’re scalping crypto, swing trading equities, or dissecting futures contracts—Gabriel’s RSI adapts to your strategy with unrivaled control and clarity. 1. RSI Settings RSI Length (Jurik): Set to 51 by default to mimic a 21-period standard RSI when Jurik smoothing is applied. Adjust lower (e.g., 22) to mimic a 9-period RSI. RSI Source: The default is hlc3 for smoother RSI inputs. Can be changed to any price-based series (close, open, etc.) for customization. 2. RSI Smoothing Options MA Type: Smoothing applies to both RSI and its MA overlay simultaneously. I used to use the 56 EMA RSI, and it works well too. JMA: Best for adaptive recursive smoothing. A power of 2 and a phase of 50 are used. T3: Smooth and lag-reduced, suitable for trend detection. The alpha is 0.7. SMA + Bollinger Bands: Adds deviation-based envelopes for volatility spotting. MA Length: Affects how smooth or reactive the RSI signal is. BB StdDev: Only relevant if BBs are used. Controls bandwidth for overbought/oversold zones. 3. MACD Settings Fast/Slow Length: Defaults (21/81) optimized for smoother MACD with SMA or T3. For Algo trading, EMA/JMA is best. Signal Length: Shorter (e.g., 2) gives more reactive crossover signals, it can be increased. Source: Default is close. Close works best for the settings I input. MA Types: JMA and EMA reduce noise and increase signal generation. Select SMA for simplicity or T3 for trend-following. Histogram: Bar colors signal strength and trend of MACD directly on your chart. 4. Directional Movement Index (DMI) ADX Smoothing: High values (e.g., 100) offer strong trend confirmation with Hann Window smoothing. DI Length: Affects DI+/- sensitivity. 100 ADX - 12 DI or 15 ADX - 35 DI are suggested, the latter for quicker boot time, as 100 bars is quite long. Smoothing Type: Choose Hann Window for refined smoothing; RMA (SMMA) for simplicity. Volatility Type: ATR includes gaps; ADR is useful for gapless strategies. Plotted as area fills, 0 to 100 scaled. 5. Volume Z-Score %R Length: Normalizes volume to percentile range (73 swing, 112 exhaustion). Z-Score Lengths: Compares short-term and long-term volume trends with Z-scores of volume. Fast Z-Score < Slow Z-Score = Gives a Volume Squeeze. Fast MA > Slow MA = Bullish Volume Divergence; volume has been fired. Not via Z-score, but instead via SMA, ALMA, and RMA of volume. WPR Volume: Weighted %R used to highlight exhaustion/pivot points. Plot volume bars after a volume squeeze has been fired; if bars aren't plotted, then it's under squeeze. Backtest on ES1! Prove it's good for catching bottoms below 15 minutes as well. 6. Divergence Engine Pivot Settings: Pivot Period (12), Divergence minval Lookback (5), and max Lookback Bars (100) control sensitivity. Works well on any asset class; these are the optimal settings for the RSI. Source Options: RSI, MACD, ADX, DI difference, or Volume %R. Divergence Type: Regular: Classic reversal signals. Hidden: Continuation signals. Heikin Ashi Mode: Enables use of HA candles on normal charts for smoother pivots. May distort values if your chart is H.A. so leave it unchecked then. 7. Squeeze Momentum (SQZMOM) Squeeze Types: Wide (Black): Regular compression Normal (Red), Regular Squeeze Narrow (Yellow), Golden Squeeze Very Narrow (Purple) Extreme compression Fired (Green): Breakout detected Plotted as circles on the bottom of my indicator. Momentum Bar Colors: Cyan: Rising momentum Blue: Pullback within uptrend Red: Falling momentum Yellow: Correction within downtrend Reversal Lines: Dashed lines indicate momentum crossing its Jurik MA (DM-Style Pivots). Plotted as squares on the top of my indicator. 8. Rate of Change (RoC) RoC of Momentum: EMA-smoothed RoC on momentum for leading signals. Double smoothed, once and then another time for smoother signals. Signal Line: JMA used to filter noise and generate reversal signals. Crossovers: Bullish/bearish signals based on RoC vs signal line are plotted as triangles directly on your chart. Optimized: Backtested for short-term setups like 1H or faster. Works on Daily timeframes as well for Futures. 9. Multi-Timeframe Squeeze Settings Each timeframe (Hourly, 4H, Daily, Weekly, Monthly) has: Reversal Toggle: Enables dashed line DM-Style Pivots on crossovers. MA Length: For Jurik MA smoothing on momentum. BB/KC Thresholds: Define squeeze sensitivity per timeframe. A shorter BB/KC length, 17-14-12, responds better on lower timeframes. Momentum Length: Tailors oscillator responsiveness; 20 is ideal. 10. BB Std. Deviation Scaling Low-Pass Super Smoother : Smooths (True Range) noise for BBs. High-Pass Butterworth : Extracts cycles for BB Stdv. blend. Root Mean Squared : Dynamic BB width adjustment based on market activity. 11. Alerts RSI: Overbought/oversold reversals. Several types. MACD: Histogram shift through zero line. DMI/ADX: Crossovers and strength conditions. The 17 key level is used for the ADX. Volume: Smart Money alerts on low-volume zones. May concentrate on ICT sessions. Squeeze: Alerts on all 5 squeeze states. Momentum: Crosses and reversals. RoC: Bullish and bearish crosses. Divergences: Regular, hidden, combined. 12. Visual Output Summary RSI Line + MA/BBs MACD Histogram Bar Colors DMI/ADX as area fills Volume %R columns Squeeze Momentum Shapes and Dots RoC Crossover Arrows DM-style Breakout Pivots Divergence Lines and Labels Best Practices Watch the slope of the RSI for pullbacks on a strong trend. Combine it with squeeze for exit timing. Combine RSI Divergence with MACD histogram cross and Squeeze firing for precise entry. Use Volume Z-Score to filter for institutional activity, and enter Long. Watch for reversals as well. Watch RoC crossovers for fast, leading signals. Enable Reversal Lines on 1H+ charts for breakout or breakdown pivots. Use multi-timeframe thresholds for swing confirmation. The TFs I use the most are 2-5-15 minutes for futures and swinging with 1 hour daily and weekly. Those are the TFs I backtested.
Indicatore Pine Script®
di GabrielAmadeusLau
1