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Indicators and strategies

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!
Pine Script® indicator
by 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.
Pine Script® indicator
by 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.
Pine Script® indicator
by PalgoTrading
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.
Pine Script® indicator
by 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.
Pine Script® indicator
by controllinghand
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.
Pine Script® indicator
by CryptoPandaTA
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.
Pine Script® indicator
by GustavoBA
Fast Fourier Transform [ScorsoneEnterprises]The SCE Fast Fourier Transform (FFT) is a tool designed to analyze periodicities and cyclical structures embedded in price. This is a Fourier analysis to transform price data from the time domain into the frequency domain, showing the rhythmic behaviors that are otherwise invisible on standard charts. Instead of merely observing raw prices, this implementation applies the FFT on the logarithmic returns of the asset: Log Return(𝑚) = log⁡(close / close ) This ensures stationarity and stabilizes variance, making the analysis statistically robust and less influenced by trends or large price swings. For a user-defined lookback window 𝑁: Each frequency component 𝑘 is computed by summing real and imaginary projections of log-returns multiplied by complex exponential functions: 𝑒^−𝑖𝜃 = cos⁡(𝜃)−𝑖sin(𝜃) where: θ = 2πkm / N ​he result is the magnitude spectrum, calculated as: Magnitude(𝑘) = sqrt(Real_Sum(𝑘)^2 + Imag_Sum(𝑘)^2) This spectrum represents the strength of oscillations at each frequency over the lookback period, helping traders identify dominant cycles. Visual Analysis & Interpretation To give traders context for the FFT spectrum’s values, this script calculates: 25th Percentile (Purple Line) Represents relatively low cyclical intensity. Values below this threshold may signal quiet, noisy, or trendless periods. 75th Percentile (Red Line) Represents heightened cyclical dominance. Values above this threshold may indicate significant periodic activity and potential trend formation or rhythm in price action. The FFT magnitude of the lowest frequency component (index 0) is plotted directly on the chart in teal. Observing how this signal fluctuates relative to its percentile bands provides a dynamic measure of cyclical market activity. Chart examples In this NYSE:CL chart, we see the regime of the price accurately described in the spectral analysis. We see the price above the 75th percentile continue to trend higher until it breaks back below. In long trending markets like NYSE:PL has been, it can give a very good explanation of the strength. There was confidence to not switch regimes as we never crossed below the 75th percentile early in the move. The script is also usable on the lower timeframes. There is no difference in the usability from the different timeframes. Script Parameters Lookback Value (N) Default: 30 Defines how many bars of data to analyze. Larger N captures longer-term cycles but may smooth out shorter-term oscillations.
Pine Script® indicator
by ScorsoneEnterprises
EMAs + LSMA Cross Alert (Mejorado)his indicator is designed to identify buy and sell signals based on the behavior of multiple exponential moving averages (EMAs) and a Least Squares Moving Average (LSMA). It includes 5 EMAs and one LSMA, with visual and alert features. 📌 Components: EMA 4 (purple) EMA 9 (Fuchsia) EMA 21 (blue) EMA 50 (Green) EMA 200 (maroon) LSMA 30 (Orange) 🔍 Signal Logic: ✅ Buy Signal: The LSMA (30) must be below both EMA 4 and EMA 9. A bullish crossover occurs: EMA 4 crosses above EMA 9. Only one signal is triggered per crossover, avoiding repeated alerts during trend continuation. ❌ Sell Signal: The LSMA (30) must be above both EMA 4 and EMA 9. A bearish crossover occurs: EMA 4 crosses below EMA 9. Only one signal is triggered per crossover, avoiding repeated alerts during trend continuation. 🖥️ Visual Features: Option to show/hide each EMA and the LSMA. Buy/Sell markers appear at cross points. A white background highlight marks the candle where the signal occurs (optional). Visuals scale dynamically with the chart zoom and axes. 🔔 Alerts: Custom alert conditions for Buy and Sell. Alerts can trigger push notifications to the TradingView mobile app, email, or webhook. Configured to avoid repeating alerts unless the trend resets and a new valid crossover occurs.
Pine Script® indicator
by fricci