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Prism Confluence SystemPrism Confluence System: Strategy Overview The Prism Confluence System is a multi-factor trading strategy that combines trend analysis, price action patterns, volume confirmation, and volatility management to generate high-probability signals. Below is a detailed breakdown of its components and customizable inputs: ________________________________________ Core Components 1. Trend Identification o Dual EMA crossover system (short/long-term EMAs) o ADX filter to confirm trending markets 2. Price Action Signals o Engulfing patterns (bullish/bearish) o Hammer/Inverted Hammer with trend alignment o Fair Value Gaps (FVGs) with fill detection 3. Volume Validation o Volume spikes relative to moving average 4. Risk Management o ATR-based dynamic stop-loss (SL) and take-profit (TP) o Separate thresholds for strong/weak signals ________________________________________ User-Adjustable Inputs (Accessible via strategy settings UI) 1. Trend Identification Parameter Default Description Short EMA Length 20 Period for fast EMA (trend direction) Long EMA Length 50 Period for slow EMA (trend confirmation) ADX Trend Filter Length 14 ADX period to filter non-trending markets Adjustment Tips: • Increase EMA lengths for slower trend response • Lower ADX threshold (default 20) to allow weaker trends ________________________________________ 2. Support/Resistance Parameter Default Description Support/Resistance Length 14 Lookback for pivot highs/lows Adjustment Tips: • Shorter lengths = more reactive S/R levels • Longer lengths = broader price zones ________________________________________ 3. Fair Value Gaps (FVG) Parameter Default Description FVG Lookback 10 Bars back to check for gap formation FVG Fill Window 5 Max bars allowed to fill a gap (hardcoded) Adjustment Tips: • Increase lookback for larger timeframes • Reduce fill window for quicker gap closures ________________________________________ 4. Volume Analysis Parameter Default Description Volume Spike Multiplier 1.5 Current volume vs MA threshold Secondary Volume Threshold 1.2 Previous bar volume confirmation Adjustment Tips: • Increase multipliers for stricter volume confirmation • Lower to 1.0-1.1 for active markets ________________________________________ 5. Volatility Management Parameter Default Description ATR Length 14 Period for Average True Range ATR Stop-Loss Multiplier 2 SL distance (ATR × multiplier) ATR Take-Profit Multiplier 3 TP distance (ATR × multiplier) Adjustment Tips: • Increase SL multiplier for wider stops in volatile markets • Adjust TP ratio (default 1:1.5 risk/reward) ________________________________________ 6. Signal Priority (Hardcoded but adjustable via logic) • Strong Signals: Require FVG + Engulfing + Volume + Trend • Weak Signals: Require Pattern + Volume + S/R Break Customization Example: Pinescript: // Modify in Signal Logic section strongBuy = (fvgBull and fvgBullFilled) and (engulfingBull or hammer) // Add more patterns ________________________________________ Visual Customization (Non-input but code-modifiable) 1. Support/Resistance Style: o Change plot.style_circles to plot.style_line for solid lines 2. Signal Markers: o Adjust size.large/size.small values o Modify RGB colors in color.new(#00FF00, 0) ________________________________________ Optimization Guidelines 1. Gold/XAU-Specific Defaults: o Works best with 15M-4H timeframes o Default ATR multipliers calibrated for 10-20 pip volatility 2. Equities/Forex Adaptation: o Reduce ATR multipliers for lower volatility assets o Increase volume thresholds for liquid markets ________________________________________ Unique Features • Anti-Repainting S/R: Uses confirmed historical pivots • Adaptive FVG Tracking: Gap fills expire after 5 bars • Tiered Signals: Differentiates conviction levels via size/color This system allows deep customization while maintaining a structured approach to balancing trend, momentum, and risk. Defaults are optimized for trending commodities but can be adapted to any market via the modular input system.
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KBLfx tarafından
1
OB/BB Strategy | iSolani OB/BB Strategy | iSolani – Institutional-Grade Order Flow with Adaptive Precision Retail traders often struggle to pinpoint high-probability reversals before they fade. The OB/BB Strategy | iSolani bridges this gap by combining Order Block Theory with Bollinger Band dynamics , creating a real-time, self-correcting system for precision trading. This strategy identifies key accumulation and distribution zones dynamically , adapting to evolving price action. Designed for traders who seek a structured, rule-based edge, it merges institutional logic with retail-friendly execution to enhance decision-making across various market conditions. How It Works: Volume & Price Action Synergy At its core, the strategy tracks asymmetrical volume surges , where buy or sell pressure exceeds the 33-period average by a customizable multiplier . Why It Works in Live Trading Volume-Weighted Confidence: Only triggers when volume surpasses a customizable threshold , reducing false reversals by 68% (historical data) . Position Sizing & Entry Logic: 50% Equity/Position for balance between growth and risk Close-Only Execution avoids slippage traps by acting on confirmed candle closes An Adaptive Trading Framework More than just an indicator, OB/BB Strategy | iSolani is a self-optimizing system that refines itself with live market data. Green/red zones highlight institutional footprints , while blue breaker blocks signal shifts in smart money flow . Whether you’re trading short-term momentum or long-term trends, the system adjusts seamlessly to different conditions, ensuring both precision entries and risk-managed exits. Default Settings (Optimized for Performance) Sensitivity: Customizable multiplier for volume spikes Equity per Position: 50% In a market where most traders struggle, the OB/BB Strategy | iSolani provides a rules-based, visually intuitive approach to trading order flow with confidence. This is algorithmic precision meets discretionary artistry —giving traders a structured, data-driven edge.
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iSolani_Trading tarafından
Renko Buy & Sell StrategyMy ETH Contract Strategy Hello everyone! I’ve designed a contract trading strategy specifically for ETH. The goal is to capture market volatility! Strategy Objectives Capture both long and short opportunities in ETH. Use the closing price as the basis for opening and closing trades to reduce noise and avoid frequent intraday triggers. Core Tool Renko Chart Core Concept Generate buy and sell signals using the crossover of the Renko chart’s opening and closing prices, combined with dynamic adjustments based on ATR (Average True Range). Risk Management Position Sizing: Risk only 1 contract of the account balance per trade (adjustable). Stop Loss None. Close the position and open a new one when a reversal signal appears. Take Profit None. Close the position and open a new one when a reversal signal appears. Why Use This Strategy? Simple and Effective: Combines fast signals with trend filtering to avoid blind trading. Usage Recommendations Best suited for ETH, with optimal performance on 15-minute and 30-minute charts (also works for BTC). Not suitable for other coins. My tests started with $1,000, and the returns have been promising.
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Bruce8422 tarafından
The Ultimate Strategy, (Ranjit) - Version 1.0Welcome to " The Ultimate Strategy, (Ranjit) - Your Ultimate Trading Companion Unlock the fill potential of your trading strategy with The Ultimate Strategy, a powerful tool designed to guide you through every trade with precision. Whether you are a seasoned professional or just starting out, our indicator delivers real-time buy and sell signals, along with critical information like entry price, stop loss, take profit, support and resistance level, and market sentiment analysis. Built for traders who want to make informed , data-driven decision, The Ultimate Strategy indicator, streamlines your trading process, helping you to stay ahead of the market, manage risk effectively, and maximize profits. Experience clarity, confidence and consistency in your trades with The Ultimate Strategy indicator - because every great trader needs the right tools.
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ranjitsecurities6 tarafından
The Ultimate Pro Strategy, (Ranjit) - V1The Ultimate tool... unlock the full potential of your trading strategy with The Ultimate Pro Strategy, a powerful tool designed to guide you through every trade with precision. whether you are seasoned professional or just starting out, our indicator deliver real-time buy and sell signals, along with critical information like entry price, stop loss, take profit, support and resistance level and market sentiment analysis.
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ranjitsecurities6 tarafından
Queen Crypto (Strategy Tester and Backtest)🚀 QUEEN CRYPTO (Strategy Tester and Backtest) 🔥 This strategy indicator is designed solely for backtesting a specific coin to determine the optimal Take Profit (TP) points, Trailing Stop (TS) , and parameters for the WNS feature . In this backtest indicator, all parameters are not hardcoded or locked , allowing the backtesting process to find the best possible settings for TP, TS, and the WNS feature. The Author typically uses this indicator to discover the optimal configuration . Once the best settings are identified, they are locked or hardcoded into Queen Crypto Autotrade Indicator. The purpose of this approach is to ensure that the Queen Crypto Autotrade indicator operates with the best possible configuration , making the autotrading process more time-efficient and maximizing profits , as it is already utilizing the most optimal settings. Equipped with powerful features such as Trailing stop , Take Profit (TP) target, Partial TP (TPP) , and the latest breakthrough, the WNS feature , this indicator offers a smarter and more efficient way to trade. The WNS (Wait and See) feature is a revolutionary improvement that significantly enhances win rate and profit factor by up to 400% 🔥. It works by analyzing price movement as it approaches a trend reversal threshold. If certain conditions are not met, the indicator will not open a new position and will enter a Wait and See mode . However, when the conditions align, the background will turn green, signaling a valid trade opportunity. Signal will only appear when the trend reversal happens within this green background zone. This feature effectively eliminates the main weakness of Volatility-based indicators, which often suffer from false signals when the market is in sideways. By integrating WNS feature , Queen Crypto Autotrade will ensures higher profitability, improved safety, and minimal drawdown. With this advanced feature, traders can experience a more profitable, secure, and efficient trading strategy like never before. 🚀 Key Features that Configurable : ✅ Partial Take Profit (TPP) – Locks in gains at every TP level by closing portions of a trade at set levels. 🎯🟠 ✅ Trailing Stop with Moving Target (TS) – The stoploss follows price movements efficiently from one TP point to anothers, securing profits while allowing room for further upside. 🔥 ✅ WNS feature – Avoids trading in uncertain conditions, reducing unnecessary losses and to ensures trades are only placed when market conditions are ideal.🎯 No more guessing, no more checking charts all day. Trade smarter, stay updated, and maximize profits—All hands-free! 😎 To gain access to this INVITE ONLY script, please contact Telegram: @CSGadmin t.me/CSGadmin
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Queen_Autotrade tarafından
Stratégie Changement de Tendance avec BougiesStratégie en détail : Achat (Signal haussier) : Après une tendance baissière, on observe une bougie haussière. Le plus bas de cette bougie haussière doit être inférieur au plus bas de la dernière bougie baissière. Vente (Signal baissier) : Après une tendance haussière, on observe une bougie baissière. Le plus haut de cette bougie baissière doit être supérieur au plus haut de la dernière bougie haussière.
Pine Script™ stratejisi
hervegbeli8 tarafından
MACD Crossover Strategy MACD Crossover Strategy: This strategy is based on the Moving Average Convergence Divergence (MACD) indicator, a popular tool used in technical analysis to identify potential trend changes and momentum in price movements. The strategy focuses on MACD crossovers within a specific "important zone" to generate trading signals. Key Components: 1. MACD Calculation: The strategy uses customizable parameters for fast length (default 12), slow length (default 26), and signal length (default 9) to calculate the MACD line and signal line. 2. Important Zone: Defined by upper and lower thresholds (default 0.5 and -0.5), this zone helps filter out potentially less significant crossovers. 3. Entry Conditions: - Long (Buy) Entry: When the MACD line crosses above the signal line within the important zone. - Short (Sell) Entry: When the MACD line crosses below the signal line within the important zone. 4. Exit Conditions: The strategy closes positions on opposite crossover signals. Long positions are closed on bearish crossovers, and short positions on bullish crossovers. 5. Visualization: - MACD line (blue) and signal line (orange) are plotted. - The zero line, upper threshold, and lower threshold are displayed for reference. - Buy signals are represented by green triangles at the bottom of the chart. - Sell signals are shown as red triangles at the top of the chart. This strategy aims to capture trend changes while filtering out potentially false signals that occur when the MACD is at extreme values. By focusing on crossovers within the important zone, the strategy attempts to identify more reliable trading opportunities. Traders can adjust the MACD parameters and the important zone thresholds to fine-tune the strategy for different assets or timeframes. As with any trading strategy, it's crucial to thoroughly backtest and consider risk management before using it in live trading.
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xdd11a tarafından
Dual SuperTrend w VIX Filter - Strategy [presentTrading]Hey everyone! Haven't been here for a long time. Been so busy again in the past 2 months. I recently started working on analyzing the combination of trend strategy and VIX, but didn't get outstanding results after a few tries. Sharing this tool with all of you in case you have better insights. █ Introduction and How it is Different The Dual SuperTrend with VIX Filter Strategy combines traditional trend following with market volatility analysis. Unlike conventional SuperTrend strategies that focus solely on price action, this experimental system incorporates VIX (Volatility Index) as an adaptive filter to create a more context-aware trading approach. By analyzing where current volatility stands relative to historical norms, the strategy adjusts to different market environments rather than applying uniform logic across all conditions. BTCUSD 6hr Long Short Performance █ Strategy, How it Works: Detailed Explanation 🔶 Dual SuperTrend Core The strategy uses two SuperTrend indicators with different sensitivity settings: - SuperTrend 1: Length = 13, Multiplier = 3.5 - SuperTrend 2: Length = 8, Multiplier = 5.0 The SuperTrend calculation follows this process: 1. ATR = Average of max(High-Low, |High-PreviousClose|, |Low-PreviousClose|) over 'length' periods 2. UpperBand = (High+Low)/2 - (Multiplier * ATR) 3. LowerBand = (High+Low)/2 + (Multiplier * ATR) Trend direction is determined by: - If Close > previous LowerBand, Trend = Bullish (1) - If Close < previous UpperBand, Trend = Bearish (-1) - Otherwise, Trend = previous Trend 🔶 VIX Analysis Framework The core innovation lies in the VIX analysis system: 1. Statistical Analysis: - VIX Mean = SMA(VIX, 252) - VIX Standard Deviation = StdDev(VIX, 252) - VIX Z-Score = (Current VIX - VIX Mean) / VIX StdDev 2. **Volatility Bands: - Upper Band 1 = VIX Mean + (2 * VIX StdDev) - Upper Band 2 = VIX Mean + (3 * VIX StdDev) - Lower Band 1 = VIX Mean - (2 * VIX StdDev) - Lower Band 2 = VIX Mean - (3 * VIX StdDev) 3. Volatility Regimes: - "Very Low Volatility": VIX < Lower Band 1 - "Low Volatility": Lower Band 1 ≤ VIX < Mean - "Normal Volatility": Mean ≤ VIX < Upper Band 1 - "High Volatility": Upper Band 1 ≤ VIX < Upper Band 2 - "Extreme Volatility": VIX ≥ Upper Band 2 4. VIX Trend Detection: - VIX EMA = EMA(VIX, 10) - VIX Rising = VIX > VIX EMA - VIX Falling = VIX < VIX EMA Local performance: 🔶 Entry Logic Integration The strategy combines trend signals with volatility filtering: Long Entry Condition: - Both SuperTrend 1 AND SuperTrend 2 must be bullish (trend = 1) - AND selected VIX filter condition must be satisfied Short Entry Condition: - Both SuperTrend 1 AND SuperTrend 2 must be bearish (trend = -1) - AND selected VIX filter condition must be satisfied Available VIX filter rules include: - "Below Mean + SD": VIX < Lower Band 1 - "Below Mean": VIX < VIX Mean - "Above Mean": VIX > VIX Mean - "Above Mean + SD": VIX > Upper Band 1 - "Falling VIX": VIX < VIX EMA - "Rising VIX": VIX > VIX EMA - "Any": No VIX filtering █ Trade Direction The strategy allows testing in three modes: 1. **Long Only:** Test volatility effects on uptrends only 2. **Short Only:** Examine volatility's impact on downtrends only 3. **Both (Default):** Compare how volatility affects both trend directions This enables comparative analysis of how volatility regimes impact bullish versus bearish markets differently. █ Usage Use this strategy as an experimental framework: 1. Form a hypothesis about how volatility affects trend reliability 2. Configure VIX filters to test your specific hypothesis 3. Analyze performance across different volatility regimes 4. Compare results between uptrends and downtrends 5. Refine your volatility filtering approach based on results 6. Share your findings with the trading community This framework allows you to investigate questions like: - Are uptrends more reliable during rising or falling volatility? - Do downtrends perform better when volatility is above or below its historical average? - Should different volatility filters be applied to long vs. short positions? █ Default Settings The default settings serve as a starting point for exploration: SuperTrend Parameters: - SuperTrend 1 (Length=13, Multiplier=3.5): More responsive to trend changes - SuperTrend 2 (Length=8, Multiplier=5.0): More selective filter requiring stronger trends VIX Analysis Settings: - Lookback Period = 252: Establishes a full market cycle for volatility context - Standard Deviation Bands = 2 and 3 SD: Creates statistically significant regime boundaries - VIX Trend Period = 10: Balances responsiveness with noise reduction Default VIX Filter Selection: - Long Entry: "Above Mean" - Tests if uptrends perform better during above-average volatility - Short Entry: "Rising VIX" - Tests if downtrends accelerate when volatility is increasing Feel Free to share your insight below!!!
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PresentTrading tarafından
Quarterly EMA StrategyThis strategy is designed for quarterly swing trading in Indian stock futures (Top 50 liquid stocks). It focuses on pullbacks to key EMAs (10 & 21) with RSI confirmation to capture high-probability long trades. The goal is to generate consistent profits with a structured entry, exit, and stop-loss system while minimizing risk. ⸻ 🎯 Core Trading Logic 1️⃣ Only trades in the Top 50 NSE Futures stocks for liquidity. 2️⃣ Entry: When the quarterly candle pulls back to the 10 EMA or 21 EMA, and RSI is below 40. 3️⃣ Exit Rules: • Quick Exit: If the stock gains 8-10% in a single day, exit immediately. • EMA Separation Exit: If the stock moves too far from 10 EMA on the daily chart, exit and re-enter later. 4️⃣ Stop Loss: • If the gap between 10 EMA & 21 EMA is large, a 15% stop-loss is placed below the moving average. 5️⃣ Re-entry Strategy: If exited early, re-enter on daily pullback to the 10 EMA when price stabilizes. ⸻ 📊 Trading Edge & Benefits ✅ Combines Technical & Fundamental Strength – Focuses on strong stocks that pull back for a better entry. ✅ Uses EMAs for Trend Confirmation – Ensures the stock is still bullish before entering. ✅ RSI Confirmation – Avoids chasing stocks by entering at logical retracements. ✅ Risk Management Built-In – Uses dynamic stop-loss and exit triggers to protect capital. ✅ Quarterly Structure – Provides a low-effort, high-accuracy trading approach for high conviction trades. ⸻ 🛠️ How to Use This Strategy on TradingView? 1️⃣ Apply the script to TradingView by copying and pasting it into the Pine Script Editor. 2️⃣ Set Alerts for Entries & Exits – Get notified when a trade is triggered. 3️⃣ Use with NSE Futures – Stick to the Top 50 futures stocks for best results. 4️⃣ Monitor Daily Charts – Exit manually if price moves away too fast from the 10 EMA. 5️⃣ Backtest & Adjust Risk – Customize SL and profit targets based on your risk appetite. ⸻ 🚀 Profit Potential & Expectations 🔹 Target: ₹1.25 lakh per stock per quarter using this strategy. 🔹 Works best with large-cap, high-volume futures stocks. 🔹 Expected win rate: 65-75% (based on backtests). 🔹 Requires discipline & patience to wait for ideal setups.
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adityani4545 tarafından
Machine Learning + EMA StrategyMachine Learning + EMA Strategy (kNN Algorithm) 📌 Overview This strategy combines Exponential Moving Averages (EMA) with a Machine Learning-based k-Nearest Neighbors (kNN) algorithm to enhance trade accuracy. It dynamically adjusts entry and exit points based on market trends and historical price action. 🛠️ How It Works ✅ Uses 9 EMAs (8, 14, 20, 26, 32, 38, 44, 50, 200) to identify trends. ✅ Employs kNN (k-Nearest Neighbors) classification to predict price movement. ✅ Auto-closes previous trades before opening a new one to prevent overlap. ✅ Plots a real-time prediction indicator to visualize market conditions. 🎯 Trade Logic 🔵 Buy Signal → When EMA 8 crosses above EMA 50, and the kNN prediction is positive. 🔴 Sell Signal → When EMA 8 crosses below EMA 50, and the kNN prediction is negative. 🚀 Why Use This Strategy? ✅ Machine Learning-Powered: Uses kNN for data-driven decisions. ✅ Trend-Following & Adaptive: EMAs filter out market noise. ✅ Automatic Position Management: No overlapping trades. ✅ Customizable Parameters: Suitable for multiple asset classes. ⚠️ Disclaimer This strategy is for educational purposes only and should be backtested before live trading. Past performance does not guarantee future results.
Pine Script™ stratejisi
a7j0_o tarafından
1
ScalpZilla Strategy Claude 0.53====== ScalpZilla Strategy Description ====== ScalpZilla is an advanced algorithmic trading strategy designed for the TradingView platform. This is a fully reversible system that automatically closes opposing positions and manages multiple trade targets with configurable take-profit and stop-loss levels. === STRATEGY ARCHITECTURE === The strategy operates with two independent signal sections that can work together or separately: 1. CROSS SECTION: Generates signals based on price crossing a user-defined source indicator 2. SEPARATE SECTION: Uses independent sources for LONG and SHORT signals === REVERSIBLE SYSTEM FUNCTIONALITY === - The strategy automatically closes all opposing positions when a new signal is triggered - For example, if a SHORT signal is received while in a LONG position, the system will: * Close all current LONG positions * Open a new SHORT position - This reversible mechanism ensures the strategy always follows the current market direction === CONFIRMATION MECHANISM === Both sections can be configured to require confirmation from each other: - When "Use As Confirmation" is enabled for a section, its signals act as confirmation triggers - Two confirmation modes available: * DELAYED: Waits for confirmation, opens position either when signal arrives and confirmation exists, or when confirmation arrives for an existing signal * IMMEDIATE: Opens position only if confirmation already exists when signal arrives, otherwise skips This allows creating complex conditions like: "Enter LONG only when both Cross and Separate sections agree on the direction" === TAKE PROFIT AND STOP LOSS MANAGEMENT === - Multiple take-profit levels (TP1-TP5) with individual activation and percentage settings - Position size is automatically split equally between active TP levels - Stop-loss protection with customizable percentage-based distance from entry - All orders are managed separately for each section to avoid conflicts === ALERT SYSTEM === The strategy includes a comprehensive alert system with formatted messages that include: - Trading pair/symbol - Position direction (LONG/SHORT) - Entry price - All take-profit target levels (TP1-TP5) - Stop-loss level - Recommended leverage (25x) Three alert configuration options are available: 1. "alert() function calls only" - For entry signals only 2. "Order fills and alert() function calls" - For all events 3. "Order fills only" - For order executions only Alerts are formatted for compatibility with Cornix automation platform.
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CyberBOB_Crypto tarafından
Gold Master By Mayur Chavan®️OANDA:XAUUSD Gold Master by mayur chavan indicator is a specially designed scalping indicator for XAUUSD (Gold). It analyzes price action and previous candle patterns to accurately predict buy/sell entries and target levels. This indicator is optimized to minimize losses and maximize profits. Key Features: Accurately detects market trends – Determines whether the price is likely to go up or down. Previous Candle Analysis – Analyzes past candle behavior to predict the next move. Entry & Exit Points – Provides precise Buy/Sell entry and exit signals. Target Levels & Stop Loss – Guides potential profit targets and stop-loss levels. Designed for maximum profitability with minimal risk. Note: This script is closed-source, so the exact calculations and logic remain hidden. Default Settings *Style* Regular candle un tick Volume un tick ATR un tick Please do keep in mind that the performance of the indicator reduces as we increase the default settings Please contact me for access
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MayurChavanOCTAGLE tarafından
1