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Kelly Optimal Leverage IndicatorThe Kelly Optimal Leverage Indicator mathematically applies Kelly Criterion to determine optimal position sizing based on market conditions. This indicator helps traders answer the critical question: "How much capital should I allocate to this trade?" Note that "optimal position sizing" does not equal the position sizing that you should have. The Optima position sizing given by the indicator is based on historical data and cannot predict a crash, in which case, high leverage could be devastating. Originally developed for gambling scenarios with known probabilities, the Kelly formula has been adapted here for financial markets to dynamically calculate the optimal leverage ratio that maximizes long-term capital growth while managing risk. Key Features Kelly Position Sizing: Uses historical returns and volatility to calculate mathematically optimal position sizes Multiple Risk Profiles: Displays Full Kelly (aggressive), 3/4 Kelly (moderate), 1/2 Kelly (conservative), and 1/4 Kelly (very conservative) leverage levels Volatility Adjustment: Automatically recommends appropriate Kelly fraction based on current market volatility Return Smoothing: Option to use log returns and smoothed calculations for more stable signals Comprehensive Table: Displays key metrics including annualized return, volatility, and recommended exposure levels How to Use Interpret the Lines: Each colored line represents a different Kelly fraction (risk tolerance level). When above zero, positive exposure is suggested; when below zero, reduce exposure. Note that this is based on historical returns. I personally like to increase my exposure during market downturns, but this is hard to illustrate in the indicator. Monitor the Table: The information panel provides precise leverage recommendations and exposure guidance based on current market conditions. Follow Recommended Position: Use the "Recommended Position" guidance in the table to determine appropriate exposure level. Select Your Risk Profile: Conservative traders should follow the Half Kelly or Quarter Kelly lines, while more aggressive traders might consider the Three-Quarter or Full Kelly lines. Adjust with Volatility: During high volatility periods, consider using more conservative Kelly fractions as recommended by the indicator. Mathematical Foundation The indicator calculates the optimal leverage (f*) using the formula: f* = μ/σ² Where: μ is the annualized expected return σ² is the annualized variance of returns This approach balances potential gains against risk of ruin, offering a scientific framework for position sizing that maximizes long-term growth rate. Notes The Full Kelly is theoretically optimal for maximizing long-term growth but can experience significant drawdowns. You should almost never use full kelly. Most practitioners use fractional Kelly strategies (1/2 or 1/4 Kelly) to reduce volatility while capturing most of the growth benefits This indicator works best on daily timeframes but can be applied to any timeframe Negative Kelly values suggest reducing or eliminating market exposure The indicator should be used as part of a complete trading system, not in isolation Enjoy the indicator! :) P.S. If you are really geeky about the Kelly Criterion, I recommend the book The Kelly Capital Growth Investment Criterion by Edward O. Thorp and others.
Pine Script® göstergesi
HenriqueCentieiro tarafından
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® göstergesi
CryptoPandaTA tarafından
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® göstergesi
RWCS_LTD tarafından
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)
Pine Script® göstergesi
shreejitnair18 tarafından
1
Random Coin Toss Strategy📌 Overview This strategy is a probability-based trading simulation that randomly decides trade direction using a coin-toss mechanism and executes trades with a customizable risk-reward ratio. It's designed primarily for testing entry frequency and risk dynamics, not predictive accuracy. 🎯 Core Concept Every N bars (configurable), the strategy performs a pseudo-random coin toss. Based on the result: If heads → Buy If tails → Sell Once a position is opened, it sets a Stop-Loss (SL) and Take-Profit (TP) based on a multiple of the current ATR (Average True Range) value. ⚙️ Configurable Inputs ATR Length Period for ATR calculation, determines volatility basis. SL Multiplier SL distance = ATR × multiplier (e.g., 1.0 means 1x ATR) . TP Multiplier TP distance = ATR × multiplier (e.g., 2.0 = 2x ATR) . Entry Frequency Bars to wait between each new coin toss decision. Show TP/SL Zones Toggle on/off for drawing visual TP and SL zones. Box Size Number of bars used to define the width of the TP/SL boxes. 🔁 Entry & Exit Logic Entry: Happens only when no current position exists and it's the correct bar interval. Entry direction is randomly decided. Exit: Positions exit at either: Take-Profit (TP) level Stop-Loss (SL) level Both are calculated using the configured ATR-based distances. 🖼️ Visual Features TP and SL zones: Rendered as shaded rectangles (boxes) only once per trade. Green box for TP zone, red box for SL zone. Automatically deleted and redrawn for each new trade to avoid chart clutter. ATR Display Table: A minimal info table at the top-right shows the current ATR value. Updates every few bars for performance. 🧪 Use Cases Ideal for risk-reward modeling, strategy prototyping, and understanding how volatility-based SL/TP behavior affects results. Great for backtesting frequency, RR tweaks (e.g., 2:5 or 3:1), and execution structure in random conditions. ⚠️ Disclaimer Since the trade direction is random, this script is not meant for predictive trading but serves as a powerful experiment framework for studying how SL, TP, and volatility interact with random chance in a controlled, repeatable system.
Pine Script® stratejisi
vineeth059 tarafından
1
MULTI INDICATOR BY DEEPANINDIAThis TradingView strategy combines EMA, SuperTrend, and swing high/low to identify trend breakouts. A long trade is triggered when the previous candle closes above the EMA High and the current candle breaks the prior high. A short trade occurs (if not in Long Only mode) when the opposite happens with the EMA Low. The SuperTrend confirms trend direction, while swing points act as dynamic stop-loss levels. The script includes customizable inputs for EMA lengths, SuperTrend settings, and swing lookback. It helps traders capture strong trends with defined entries and exits using a rules-based, multi-indicator approach.
Pine Script® stratejisi
prisminvest48 tarafından
MULTI INDICATOR BY DEEPANINDIAThis TradingView strategy combines EMA, SuperTrend, and swing high/low to identify trend breakouts. A long trade is triggered when the previous candle closes above the EMA High and the current candle breaks the prior high. A short trade occurs (if not in Long Only mode) when the opposite happens with the EMA Low. The SuperTrend confirms trend direction, while swing points act as dynamic stop-loss levels. The script includes customizable inputs for EMA lengths, SuperTrend settings, and swing lookback. It helps traders capture strong trends with defined entries and exits using a rules-based, multi-indicator approach.
Pine Script® stratejisi
prisminvest48 tarafından
Time Zone (with weekends)//@version=5 indicator("Time Zone (with weekends)", overlay=true) // Задаём сессию — например, с 01:00 до 13:00 UTC sessionTime = input.session("0100-1300", "Временной промежуток") zoneColor = input.color(color.new(color.blue, 85), "Цвет зоны") // Проверка, попадает ли текущий бар во временной промежуток inTimeZone = time(timeframe.period, sessionTime) // Закрашиваем фон bgcolor(inTimeZone ? zoneColor : na)
Pine Script® göstergesi
Alex2784_3513 tarafından
Advanced Currency Strength Meter# Advanced Currency Strength Meter (ACSM) The Advanced Currency Strength Meter (ACSM) is a scientifically-based indicator that measures relative currency strength using established academic methodologies from international finance and behavioral economics. This indicator provides traders with a comprehensive view of currency market dynamics through multiple analytical frameworks. ### Theoretical Foundation #### 1. Purchasing Power Parity (PPP) Theory Based on Cassel's (1918) seminal work and refined by Froot & Rogoff (1995), PPP suggests that exchange rates should reflect relative price levels between countries. The ACSM momentum component captures deviations from long-term equilibrium relationships, providing insights into currency misalignments. #### 2. Uncovered Interest Rate Parity (UIP) and Carry Trade Theory Building on Fama (1984) and Lustig et al. (2007), the indicator incorporates volatility-adjusted momentum to capture carry trade flows and interest rate differentials that drive currency strength. This approach helps identify currencies benefiting from interest rate differentials. #### 3. Behavioral Finance and Currency Momentum Following Burnside et al. (2011) and Menkhoff et al. (2012), the model recognizes that currency markets exhibit persistent momentum effects due to behavioral biases and institutional flows. The indicator captures these momentum patterns for trading opportunities. #### 4. Portfolio Balance Theory Based on Branson & Henderson (1985), the relative strength matrix captures how portfolio rebalancing affects currency cross-rates and creates trading opportunities between different currency pairs. ### Technical Implementation #### Core Methodologies: - **Z-Score Normalization**: Following Sharpe (1994), provides statistical significance testing without arbitrary scaling - **Momentum Analysis**: Uses return-based metrics (Jegadeesh & Titman, 1993) for trend identification - **Volatility Adjustment**: Implements Average True Range methodology (Wilder, 1978) for risk-adjusted strength - **Composite Scoring**: Equal-weight methodology to avoid overfitting and maintain robustness - **Correlation Analysis**: Risk management framework based on Markowitz (1952) portfolio theory #### Key Features: - **Multi-Source Data Integration**: Supports OANDA, Futures, and CFD data sources - **Scientific Methodology**: No arbitrary scaling or curve-fitting; all calculations based on established statistical methods - **Comprehensive Dashboard**: Clean, professional table showing currency strengths and best trading pairs - **Alert System**: Automated notifications for strong/weak currency conditions and extreme values - **Best Pair Identification**: Algorithmic detection of highest-potential trading opportunities ### Practical Applications #### For Swing Traders: - Identify currencies in strong uptrends or downtrends - Select optimal currency pairs based on relative strength divergence - Time entries based on momentum convergence/divergence #### For Day Traders: - Use with real-time futures data for intraday opportunities - Monitor currency correlations for risk management - Detect early reversal signals through extreme value alerts #### For Portfolio Managers: - Multi-currency exposure analysis - Risk management through correlation monitoring - Strategic currency allocation decisions ### Visual Design The indicator features a clean, professional dashboard that displays: - **Currency Strength Values**: Each major currency (EUR, GBP, JPY, CHF, AUD, CAD, NZD, USD) with color-coded strength values - **Best Trading Pairs**: Filtered list of highest-potential currency pairs with BUY/SELL signals - **Market Analysis**: Real-time identification of strongest and weakest currencies - **Potential Score**: Quantitative measure of trading opportunity strength ### Data Sources and Latency The indicator supports multiple data sources to accommodate different trading needs: - **OANDA (Delayed)**: Free data with 15-20 minute delay, suitable for swing trading - **Futures (Real-time)**: CME currency futures for real-time analysis - **CFDs**: Alternative real-time data source option ### Mathematical Framework #### Strength Calculation: Momentum = (Price - Price ) / Price * 100 Z-Score = (Price - Mean) / Standard Deviation Volatility-Adjusted = Momentum / ATR-based Volatility Composite = 0.5 * Momentum + 0.3 * Z-Score + 0.2 * Volatility-Adjusted #### USD Strength Derivation: USD strength is calculated as the weighted average of all USD-based pairs, providing a true baseline for relative strength comparison. ### Performance Considerations The indicator is optimized for: - **Computational Efficiency**: Uses Pine Script v6 best practices - **Memory Management**: Appropriate lookback periods and array handling - **Visual Clarity**: Clean table design optimized for both light and dark themes - **Alert Reliability**: Robust signal generation with statistical significance testing ### Limitations and Risk Disclosure - Model performance may vary during extreme market stress (Black Swan events) - Requires stable data feeds for accurate calculations - Not optimized for high-frequency scalping strategies - Central bank interventions may temporarily distort signals - Performance assumes normal market conditions with behavioral adjustments ### Academic References - Branson, W. H., & Henderson, D. W. (1985). "The Specification and Influence of Asset Markets" - Burnside, C., Eichenbaum, M., & Rebelo, S. (2011). "Carry Trade and Momentum in Currency Markets" - Cassel, G. (1918). "Abnormal Deviations in International Exchanges" - Fama, E. F. (1984). "Forward and Spot Exchange Rates" - Froot, K. A., & Rogoff, K. (1995). "Perspectives on PPP and Long-Run Real Exchange Rates" - Jegadeesh, N., & Titman, S. (1993). "Returns to Buying Winners and Selling Losers" - Lustig, H., Roussanov, N., & Verdelhan, A. (2007). "Common Risk Factors in Currency Markets" - Markowitz, H. (1952). "Portfolio Selection" - Menkhoff, L., Sarno, L., Schmeling, M., & Schrimpf, A. (2012). "Carry Trades and Global FX Volatility" - Sharpe, W. F. (1994). "The Sharpe Ratio" - Wilder, J. W. (1978). "New Concepts in Technical Trading Systems" ### Usage Instructions 1. **Setup**: Add the indicator to your chart and select your preferred data source 2. **Currency Selection**: Choose which currencies to analyze (default: all major currencies) 3. **Methodology**: Select calculation method (Composite recommended for most users) 4. **Monitoring**: Watch the dashboard for strength changes and best pair opportunities 5. **Alerts**: Set up notifications for strong/weak currency conditions
Pine Script® göstergesi
EdgeTools tarafından
NQ Position Size CalculatorNQ Position Size Line Calculator is designed specifically for Nasdaq 100 futures (NQ) and micro futures (MNQ) traders who want to maintain disciplined risk management. This visual tool eliminates the guesswork from position sizing by displaying distance lines and contract calculations directly on your chart. The indicator creates horizontal lines at 10-tick intervals from your stop loss level, showing you exactly how many contracts to trade at each distance to maintain your predetermined risk amount. Whether you're trading regular NQ contracts or micro MNQ contracts, this calculator ensures you never risk more than intended while providing instant visual feedback for optimal position sizing decisions. How to Use the Indicator Step 1: Configure Your Settings Stop Loss Price: Enter your exact stop loss level (e.g., 20000.00) Risk Amount ($): Set your maximum dollar risk per trade (e.g., $500) Contract Type: Choose between: NQ (Regular): $5 per tick - for larger accounts MNQ (Micro): $0.50 per tick - for smaller accounts or conservative sizing Display Options: Max Lines: Number of distance lines to show (default: 30) Show Labels: Toggle tick distance and contract count labels Line Color: Customize the color of distance lines Label Size: Choose tiny, small, or normal label sizes Step 2: Read the Visual Display Once configured, the indicator displays: Stop Loss Line: Thick yellow line marking your exact stop loss level Yellow label showing the stop loss price Distance Lines: Dashed red lines at 10-tick intervals above and below your stop loss Lines appear on both sides for long and short position planning Labels (if enabled): Green labels (right side): For long positions above your stop loss Red labels (left side): For short positions below your stop loss Format: "20T 5x" means 20 ticks distance, 5 contracts maximum Step 3: Use the Information Tables The indicator provides two helpful tables: Position Size Table (top-right): Shows common tick distances (10, 20, 40, 80, 160 ticks) Displays risk per contract at each distance Contract count for your specified risk amount Total risk with rounded contract numbers Settings Table (bottom-right): Confirms your current risk amount Shows selected contract type Displays current settings for quick reference Step 4: Apply to Your Trading For Long Positions: Look at the green labels on the right side of your chart Find your desired entry level Read the label to see: distance in ticks and maximum contracts Example: "30T 8x" = 30 ticks from stop, buy 8 contracts maximum For Short Positions: Look at the red labels on the left side of your chart Find your desired entry level Read the label for tick distance and contract count Example: "40T 6x" = 40 ticks from stop, sell 6 contracts maximum Step 5: Trading Execution Before Entering a Trade: Identify your stop loss level and input it into the indicator Choose your entry point by looking at the distance lines Note the contract count from the corresponding label Verify the risk amount matches your trading plan Execute your trade with the calculated position size Risk Management Features: Contract rounding: All position sizes are rounded down (never up) to ensure you don't exceed your risk limit Zero position filtering: Lines only show where position size is at least 1 contract Dual-sided display: Plan both long and short opportunities simultaneously
Pine Script® göstergesi
birdmanx tarafından
1
BANKNIFTY Contribution Table [GSK-VIZAG-AP-INDIA]1. Overview This indicator provides a real-time visual contribution table of the 12 constituent stocks in the BANKNIFTY index. It displays key metrics for each stock that help traders quickly understand how each component is impacting the index at any given moment. 2. Purpose / Trading Use Case The tool is designed for intraday and short-term traders who rely on index movement and its internal strength or weakness. By seeing which stocks are contributing positively or negatively, traders can: Confirm trend strength or divergence within the index. Identify whether a BANKNIFTY move is broad-based or driven by a few heavyweights. Detect reversals when individual components decouple from index direction. 3. Key Features and Logic Live LTP: Current price of each BANKNIFTY stock. Price Change: Difference between current LTP and previous day’s close. % Change: Percentage move from previous close. Weight %: Static weight of each stock within the BANKNIFTY index (user-defined). This estimates how much each stock contributes to the BANKNIFTY’s point change. Sorted View: The stocks are sorted by their weight (descending), so high-impact movers are always at the top. 4. User Inputs / Settings Table Position (tableLocationOpt): Choose where the table appears on the chart: top_left, top_right, bottom_left, or bottom_right. This helps position the table away from your price action or indicators. 5. Visual and Plotting Elements Table Layout: 6 columns Stock | Contribution | Weight % | LTP | Change | % Change Color Coding: Green/red for positive/negative price changes and contributions. Alternating background rows for better visibility. BANKNIFTY row is highlighted separately at the top. Text & Background Colors are chosen for both readability and direction indication. 6. Tips for Effective Use Use this table on 1-minute or 5-minute intraday charts to see near real-time market structure. Watch for: A few heavyweight stocks pulling the index alone (can signal weak internal breadth). Broad green/red across all rows (signals strong directional momentum). Combine this with price action or volume-based strategies for confirmation. Best used during market hours for live updates. 7. What Makes It Unique Unlike other contribution tables that show only static data or require paid feeds, this script: Updates in real time. Uses dynamic calculated contributions. Places BANKNIFTY at the top and presents the entire internal structure clearly. Doesn’t repaint or rely on lagging indicators. 8. Alerts / Additional Features No alerts are added in this version. (Optional: Alerts can be added to notify when a certain stock contributes above/below a threshold.) 9. Technical Concepts Used request.security() to pull both 1-minute and daily close data. Conditional color formatting based on price change direction. Dynamic table rendering using table.new() and table.cell(). Static weights assigned manually for BANKNIFTY stocks (can be updated if index weights change). 10. Disclaimer This script is intended for educational and informational purposes only. It does not constitute financial advice or a buy/sell recommendation. Users should test and validate the tool on paper or demo accounts before applying it to live trading. 📌 Note: Due to internet connectivity, data delays, or broker feeds, real-time values (LTP, change, contribution, etc.) may slightly differ from other platforms or terminals. Use this indicator as a supportive visual tool, not a sole decision-maker. Script Title: BANKNIFTY Contribution Table - Author: GSK-VIZAG-AP-INDIA Version: Final Public Release
Pine Script® göstergesi
prowelltraders tarafından
Position Size CalculatorIt calculates the risk per trade using two methods: Margin-Based (percentage of total Account Balance) or Equity-Based (percentage of Total Balance minus minimum balance). Displayed as a compact, customizable label on the main chart, it’s perfect for traders seeking quick, precise risk calculations. Key Features Two Calculation Options: Margin-Based: Risk as a percentage (0-5%) of your total account balance. Equity-Based: Risk as a percentage (0-50%) of (Total balance - Minimum balance). Flexible Risk Input: Manually enter any risk percentage with 0.01% precision (e.g., 1.75%). Customizable Display: Repositionable table (9 positions, e.g., top-right, middle-center). Four table sizes (XL, L, M, S) with text scaling (large, normal, small, tiny). Adjustable cell color, text color, and transparency Margin-Based Risk Calculation: Set “Total Margin” (e.g., $10,000). Enter “Risk Percentage (%)” (0 to 5%, e.g., 1.75%). Equity-Based Risk Calculation: Set “Total Equity” (e.g., $15,000). Set “Minimum Balance” (e.g., $5,000). Enter “Equity Risk Percentage (%)” (0 to 50%, e.g., 1.75%). Display Settings: Choose “Calculation Method” (Margin-Based or Equity-Based). Select “Table Position” (e.g., top_right). Select “Table Size” (XL, L, M, S; default M). Customize “Table Cell Color”, “Table Text Color”, and “Table Cell Transparency”.
Pine Script® göstergesi
charleyRT tarafından
Holy GrailThis is a long-only educational strategy that simulates what happens if you keep adding to a position during pullbacks and only exit when the asset hits a new All-Time High (ATH). It is intended for learning purposes only — not for live trading. 🧠 How it works: The strategy identifies pullbacks using a simple moving average (MA). When price dips below the MA, it begins monitoring for the first green candle (close > open). That green candle signals a potential bottom, so it adds to the position. If price goes lower, it waits for the next green candle and adds again. The exit happens after ATH — it sells on each red candle (close < open) once a new ATH is reached. You can adjust: MA length (defines what’s considered a pullback) Initial buy % (how much to pre-fill before signals start) Buy % per signal (after pullback green candle) Exit % per red candle after ATH 📊 Intended assets & timeframes: This strategy is designed for broad market indices and long-term appreciating assets, such as: SPY, NASDAQ, DAX, FTSE Use it only on 1D or higher timeframes — it’s not meant for scalping or short-term trading. ⚠️ Important Limitations: Long-only: The script does not short. It assumes the asset will eventually recover to a new ATH. Not for all assets: It won't work on assets that may never recover (e.g., single stocks or speculative tokens). Slow capital deployment: Entries happen gradually and may take a long time to close. Not optimized for returns: Buy & hold can outperform this strategy. No slippage, fees, or funding costs included. This is not a performance strategy. It’s a teaching tool to show that: High win rate ≠ high profitability Patience can be deceiving Many signals = long capital lock-in 🎓 Why it exists: The purpose of this strategy is to demonstrate market psychology and risk overconfidence. Traders often chase strategies with high win rates without considering holding time, drawdowns, or opportunity cost. This script helps visualize that phenomenon.
Pine Script® stratejisi
Intetics tarafından
Dynamic VWAP: Fair Value & Divergence SuiteDynamic VWAP: Fair Value & Divergence Suite Dynamic VWAP: Fair Value & Divergence Suite is a comprehensive tool for tracking contextual valuation, overextension, and potential reversal signals in trending markets. Unlike traditional VWAP that anchors to the start of a session or a fixed period, this indicator dynamically resets the VWAP anchor to the most recent swing low. This design allows you to monitor how far price has extended from the most recent significant low, helping identify zones of potential profit-taking or reversion. Deviation bands (standard deviations above the anchored VWAP) provide a clear visual framework to assess whether price is in a fair value zone (±1σ), moderately extended (+2σ), or in zones of extreme extension (+3σ to +5σ). The indicator also highlights contextual divergence signals, including slope deceleration, weak-volume retests, and deviation failures—giving you actionable confluence around potential reversal points. Because the anchor updates dynamically, this tool is particularly well suited for trend-following assets like BTC or stocks in sustained moves, where price rarely returns to deep negative deviation zones. For this reason, the indicator focuses on upside extension rather than symmetrical reversion to a long-term mean. 🎯 Key Features ✅ Dynamic Swing Low Anchoring Continuously re-anchors VWAP to the most recent swing low based on your chosen lookback period. Provides context for trend progression and overextension relative to structural lows. ✅ Standard Deviation Bands Plots up to +5σ deviation bands to visualize levels of overextension. Extended bands (+3σ to +5σ) can be toggled for simplicity. ✅ Conditional Zone Fills Colored background fills show when price is inside each valuation zone. Helps you immediately see if price is in fair value, moderately extended, or highly stretched territory. ✅ Divergence Detection VWAP Slope Divergence: Flags when price makes a higher high but VWAP slope decelerates. Low Volume Retest: Highlights weak re-tests of VWAP on low volume. Deviation Failure: Identifies when price reverts back inside +1σ after closing beyond +3σ. ✅ Volume Fallback If volume is unavailable, uses high-low range as a proxy. ✅ Highly Customizable Adjust lookbacks, show/hide extended bands, toggle fills, and enable or disable divergences. 🛠️ How to Use Identify Buy and Sell Zones Price in the fair value band (±1σ) suggests equilibrium. Reaching +2σ to +3σ signals increasing overextension and potential areas to take profits. +4σ to +5σ zones can be used to watch for exhaustion or mean-reversion setups. Monitor Divergence Signals Use slope divergence and deviation failures to look for confluence with overextension. Low volume retests can flag rallies lacking conviction. Adapt Swing Lookback 30–50 bars: Faster re-anchoring for swing trading. 75–100 bars: More stable anchors for longer-term trends. 🧭 Best Practices Combine the anchored VWAP with higher timeframe structure. Confirm signals with other tools (momentum, volume profiles, or trend filters). Use extended deviation zones as context, not as standalone signals. ⚠️ Disclaimer This script is for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any security or asset. Always do your own research and consult a qualified financial professional before making any trading decisions. Past performance does not guarantee future results.
Pine Script® göstergesi
RWCS_LTD tarafından
HEMA Trend by Rostek (Filters + ATR + RR) For testing by anyone. Enjoy! :) HEMA Trend Levels with Gradient, ATR-based SL & TP, HTF Filter, and R/R Statistics This advanced indicator is designed to help you detect high-quality trend crossovers using HEMA (Hull Exponential Moving Average) smoothing logic. It integrates dynamic visualization, strong multi-layer filters, and risk management levels — all in one package. ✅ Core Concept The indicator plots two HEMAs (fast and slow), with a gradient fill between them that dynamically changes color based on the trend direction. Crossovers between these HEMAs generate potential trade signals (long or short). 🎨 Key Visual Features Smooth gradient fill area between fast and slow HEMA. Dynamic arrows marking crossover points (precisely above/below HEMA cross). Optional ATR-based Stop Loss (SL) and Take Profit (TP) levels shown as dashed lines with labels. Automatic display of calculated Risk/Reward (R/R) ratio next to TP level. ⚙️ Powerful Filters You can enable/disable each of these filters individually: ✅ EMA Filter — Confirm signals only when the price is above/below a selected EMA (default: 100). ✅ ADX Filter — Confirms signals only if ADX value exceeds a set threshold (default: 20). ✅ RSI Filter — Filter signals based on RSI value (e.g., >50 for longs, <50 for shorts). ✅ Higher Time Frame (HTF) EMA Filter — Only take signals aligned with a higher timeframe EMA trend (e.g., daily EMA 100). 📏 Risk Management Features ATR-based Stop Loss (SL): Dynamic stop level calculated using ATR, configurable multiplier (e.g., 1.5 × ATR). ATR-based Take Profit (TP): Dynamic take profit level based on ATR, configurable multiplier (e.g., 3 × ATR). Risk/Reward Statistics: Calculates and displays R/R ratio on the chart to help visually evaluate trade setups. 🔔 Alerts A single unified alert condition for both long and short filtered signals, making it easy to set up TradingView alerts. ⚡ Usage Tips Adjust HEMA lengths (default: 20 & 40) to tune responsiveness. Enable/disable filters depending on your strategy and market conditions. Fine-tune ATR multipliers for SL/TP based on your risk tolerance. Use HTF filter to trade only in the direction of the main higher timeframe trend. ✅ Ideal for Trend-following traders who want smoothed entries. Traders looking for integrated visual risk management levels. Users who want precise, customizable signals with strong filtering logic.
Pine Script® göstergesi
rostyk_struk tarafından
Omori Law Recovery PhasesWhat is the Omori Law? Originally a seismological model, the Omori Law describes how earthquake aftershocks decay over time. It follows a power law relationship: the frequency of aftershocks decreases roughly proportionally to 1/(t+c)^p, where: t = time since the main shock c = time offset constant p = power law exponent (typically around 1.0) Application to the markets Financial markets experience "aftershocks" similar to earthquakes: Market Crashes as Main Shocks: Major market declines (crashes) represent the initial shock event. Volatility Decay: After a crash, market volatility typically declines following a power law pattern rather than a linear or exponential one. Behavioral Components: The decay pattern reflects collective market psychology - initial panic gives way to uncertainty, then stabilization, and finally normalization. The Four Recovery Phases The Omori decay pattern in markets can be divided into distinct phases: Acute Phase: Immediately after the crash, characterized by extreme volatility, panic selling, and sharp reversals. Trading is hazardous. Reaction Phase: Volatility begins decreasing, but markets test previous levels. False rallies and retests of lows are common. Repair Phase: Structure returns to the market. Volatility approaches normal levels, and traditional technical analysis becomes more reliable. Recovery Phase: The final stage where market behavior normalizes completely. The impact of the original shock has fully decayed. Why It Matters for Traders Understanding where the market stands in this recovery cycle provides valuable context: Risk Management: Adjust position sizing based on the current phase Strategy Selection: Different strategies work in different phases Psychological Preparation: Know what to expect based on the phase Time Horizon Guidance: Each phase suggests appropriate time frames for trading
Pine Script® göstergesi
HenriqueCentieiro tarafından
Prakash and Vicky TrendPrakash and Vicky Trend This indicator is designed to help traders identify potential trend changes and key price levels on the chart. It uses three weighted moving averages and the volume-weighted average price (VWAP) for a balanced view of short-term momentum, overall trend, and market value. The fast and slow moving averages generate buy and sell signals when they cross over or under each other, signaling shifts in market momentum. The longer-term moving average acts as a trend filter, helping traders see the bigger picture direction. VWAP offers a benchmark level watched by institutions, highlighting areas of value and potential support or resistance. This combination provides a simple yet effective framework for making trading decisions with a clear view of price action, trend strength, and key levels.
Pine Script® göstergesi
prakash1126 tarafından
Turtle Trading Strategy (Simplified)This TradingView script is a powerful implementation of the classic Turtle Trading strategy, designed to help traders capitalize on significant market trends. Built using Pine Script, it can function as an indicator to highlight the specific entry and exit signals derived from the Turtle rules, or as a fully automated strategy to execute trades based on these signals. Users can fine-tune critical parameters like the lookback periods for breakouts and exits, enabling them to adapt the strategy to different market conditions and asset classes. The script leverages Pine Script's robust capabilities to accurately calculate and display the Turtle System's core logic, including position sizing based on volatility (ATR), providing a clear and systematic approach to trend-following directly on their TradingView charts.
Pine Script® stratejisi
RadRik tarafından