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OBV Osc (No Same-Bar Exit)//@version=5 strategy("OBV Osc (No Same-Bar Exit)", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=100) // === JSON ALERT STRINGS === callBuyJSON = 'ANSHUL ' callExtJSON = 'ANSHUL ' putBuyJSON = 'ANSHUL ' putExtJSON = 'ANSHUL ' // === INPUTS === length = input.int(20, title="OBV EMA Length") sl_pct = input.float(1.0, title="Stop Loss %", minval=0.1) tp_pct = input.float(2.0, title="Take Profit %", minval=0.1) trail_pct = input.float(0.5, title="Trailing Stop %", minval=0.1) // === OBV OSCILLATOR CALC === src = close obv = ta.cum(ta.change(src) > 0 ? volume : ta.change(src) < 0 ? -volume : 0) obv_ema = ta.ema(obv, length) obv_osc = obv - obv_ema // === SIGNALS === longCondition = ta.crossover(obv_osc, 0) and strategy.position_size == 0 shortCondition = ta.crossunder(obv_osc, 0) and strategy.position_size == 0 // === RISK SETTINGS === longStop = close * (1 - sl_pct / 100) longTarget = close * (1 + tp_pct / 100) shortStop = close * (1 + sl_pct / 100) shortTarget = close * (1 - tp_pct / 100) trailPoints = close * trail_pct / 100 // === ENTRY BAR TRACKING TO PREVENT SAME-BAR EXIT === var int entryBar = na // === STRATEGY ENTRY === if longCondition strategy.entry("Long", strategy.long) entryBar := bar_index alert(callBuyJSON, alert.freq_all) label.new(bar_index, low, text="BUY CALL", style=label.style_label_up, color=color.new(color.green, 85), textcolor=color.black) if shortCondition strategy.entry("Short", strategy.short) entryBar := bar_index alert(putBuyJSON, alert.freq_all) label.new(bar_index, high, text="BUY PUT", style=label.style_label_down, color=color.new(color.red, 85), textcolor=color.black) // === EXIT ONLY IF BAR_INDEX > entryBar (NO SAME-BAR EXIT) === canExitLong = strategy.position_size > 0 and bar_index > entryBar canExitShort = strategy.position_size < 0 and bar_index > entryBar if canExitLong strategy.exit("Exit Long", from_entry="Long", stop=longStop, limit=longTarget, trail_points=trailPoints, trail_offset=trailPoints) if canExitShort strategy.exit("Exit Short", from_entry="Short", stop=shortStop, limit=shortTarget, trail_points=trailPoints, trail_offset=trailPoints) // === TRACK ENTRY/EXIT FOR ALERTS === posNow = strategy.position_size posPrev = nz(strategy.position_size ) longExit = posPrev == 1 and posNow == 0 shortExit = posPrev == -1 and posNow == 0 if longExit alert(callExtJSON, alert.freq_all) label.new(bar_index, high, text="EXIT CALL", style=label.style_label_down, color=color.new(color.blue, 85), textcolor=color.black) if shortExit alert(putExtJSON, alert.freq_all) label.new(bar_index, low, text="EXIT PUT", style=label.style_label_up, color=color.new(color.orange, 85), textcolor=color.black) // === PLOTS === plot(obv_osc, title="OBV Oscillator", color=obv_osc > 0 ? color.green : color.red, linewidth=2) hline(0, color=color.gray)
Pine Script® stratejisi
teotia9 tarafından
Tsallis Entropy Market RiskTsallis Entropy Market Risk Indicator What Is It? The Tsallis Entropy Market Risk Indicator is a market analysis tool that measures the degree of randomness or disorder in price movements. Unlike traditional technical indicators that focus on price patterns or momentum, this indicator takes a statistical physics approach to market analysis. Scientific Foundation The indicator is based on Tsallis entropy, a generalization of traditional Shannon entropy developed by physicist Constantino Tsallis. The Tsallis entropy is particularly effective at analyzing complex systems with long-range correlations and memory effects—precisely the characteristics found in crypto and stock markets. The indicator also borrows from Log-Periodic Power Law (LPPL). Core Concepts 1. Entropy Deficit The primary measurement is the "entropy deficit," which represents how far the market is from a state of maximum randomness: Low Entropy Deficit (0-0.3): The market exhibits random, uncorrelated price movements typical of efficient markets Medium Entropy Deficit (0.3-0.5): Some patterns emerging, moderate deviation from randomness High Entropy Deficit (0.5-0.7): Strong correlation patterns, potentially indicating herding behavior Extreme Entropy Deficit (0.7-1.0): Highly ordered price movements, often seen before significant market events 2. Multi-Scale Analysis The indicator calculates entropy across different timeframes: Short-term Entropy (blue line): Captures recent market behavior (20-day window) Long-term Entropy (green line): Captures structural market behavior (120-day window) Main Entropy (purple line): Primary measurement (60-day window) 3. Scale Ratio This measures the relationship between long-term and short-term entropy. A healthy market typically has a scale ratio above 0.85. When this ratio drops below 0.85, it suggests abnormal relationships between timeframes that often precede market dislocations. How It Works Data Collection: The indicator samples price returns over specific lookback periods Probability Distribution Estimation: It creates a histogram of these returns to estimate their probability distribution Entropy Calculation: Using the Tsallis q-parameter (typically 1.5), it calculates how far this distribution is from maximum entropy Normalization: Results are normalized against theoretical maximum entropy to create the entropy deficit measure Risk Assessment: Multiple factors are combined to generate a composite risk score and classification Market Interpretation Low Risk Environments (Risk Score < 25) Market is functioning efficiently with reasonable randomness Price discovery is likely effective Normal trading and investment approaches appropriate Medium Risk Environments (Risk Score 25-50) Increasing correlation in price movements Beginning of trend formation or momentum Time to monitor positions more closely High Risk Environments (Risk Score 50-75) Strong herding behavior present Market potentially becoming one-sided Consider reducing position sizes or implementing hedges Extreme Risk Environments (Risk Score > 75) Highly ordered market behavior Significant imbalance between buyers and sellers Heightened probability of sharp reversals or corrections Practical Application Examples Market Tops: Often characterized by gradually increasing entropy deficit as momentum builds, followed by extreme readings near the actual top Market Bottoms: Can show high entropy deficit during capitulation, followed by normalization Range-Bound Markets: Typically display low and stable entropy deficit measurements Trending Markets: Often show moderate entropy deficit that remains relatively consistent Advantages Over Traditional Indicators Forward-Looking: Identifies changing market structure before price action confirms it Statistical Foundation: Based on robust mathematical principles rather than empirical patterns Adaptability: Functions across different market regimes and asset classes Noise Filtering: Focuses on meaningful structural changes rather than price fluctuations Limitations Not a Timing Tool: Signals market risk conditions, not precise entry/exit points Parameter Sensitivity: Results can vary based on the chosen parameters Historical Context: Requires some historical perspective to interpret effectively Complementary Tool: Works best alongside other analysis methods Enjoy :)
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HenriqueCentieiro tarafından
Victor Osimhen Galatasaray⚽ Victor Osimhen Strategy – Ride the Momentum, Rule the Market! Hello dear trader! 👋 We’re proud to introduce a strategy designed for crypto markets, built to be fast, smart, and resilient — just like its namesake: 📈 The Victor Osimhen Strategy ⚽ Much like the unstoppable striker himself, this strategy: Kicks off early Strikes at the right moment Knows exactly when to exit the field 🧠 What Powers the Strategy? Victor Osimhen is based on three proven elements: WaveTrend – A powerful momentum signal for entry Volatility Stop (VStop) – A trend direction filter Advanced Trailing Stop – A smart exit that adapts to price action With full Multi-Timeframe (MTF) support, it tracks the bigger picture while reacting to finer movements: For example: While viewing the 4H chart, it listens to signals from the 2H timeframe, offering early and more accurate entries/exits. 🪙 Why Does It Work Better in Crypto? ✅ It’s built for the high volatility and 24/7 nature of crypto markets ✅ It reacts fast to momentum shifts ✅ It filters out noise using trend confirmation ✅ And it adapts dynamically with its advanced trailing exit logic 🎁 A Friendly Request If this strategy brings you profits — and if you feel like sharing the joy — we’d be truly happy if you considered donating a portion to Galatasaray Sports Club 💛❤️ (Of course, this is entirely voluntary and from the heart!) 🔒 Final Reminder This strategy isn’t magic — but when used with discipline, patience, and risk control, it can be a game-changer. Please test it in demo mode first, and only go live when you're ready. 🏁 Good Luck! With the Victor Osimhen Strategy, you're now equipped to: ✅ Catch early momentum ✅ Stay aligned with the trend ✅ Protect your profits with style Wishing you strong signals and solid trades!
Pine Script® stratejisi
ALCIVOOO tarafından
Breakout with ATR & Volume Filter🚀 Introducing Our New Breakout Strategy: Powerful Signals with ATR & Volume Filters Designed specifically for the fast and volatile crypto markets, this breakout strategy delivers robust signals on Bitcoin’s 15-minute charts. 🌟 Key Features: ATR filter ensures entries only during high volatility periods, reducing false signals. Volume confirmation captures strong and reliable breakouts. 20-period support/resistance breakout levels identify early trend moves. Scientifically optimized stop loss and take profit levels provide effective risk management. Simple, clear, and effective — ideal for both beginners and professional traders. 🔥 Why Choose This Strategy? It filters out market noise and focuses on genuine momentum moves, increasing your chances of success by leveraging real-time volatility and volume conditions. 📈 How to Use Easily deploy on TradingView with customizable parameters. Perfect for traders who need quick, confident decisions in crypto markets. Get closer to success in BTC trading with reliable signals and smart risk management!
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ALCIVOOO tarafından
BTC SmartMoney + SQZMOM + EMA + Cloud + Trailing Stop (v2.5)🚀 BTC 15-Minute Smart Strategy: SmartMoney + SQZMOM + EMA + Trailing Stop Designed specifically for the fast-paced and volatile crypto market, this strategy is finely tuned to deliver maximum performance on Bitcoin’s 15-minute chart. 🌟 Key Features: SmartMoney Concepts (SMC) based CHoCH signals to detect market structure shifts and capture early trend reversals. SQZMOM (Squeeze Momentum Oscillator) to gauge strong volatility and momentum confluence. 50 & 200 EMA Cloud combining short-term and long-term trend filters for reliable market direction. ATR-based and manually adjustable Trailing Stop for flexible and automated risk management. Scientifically optimized Take Profit and Stop Loss levels to minimize losses and maximize gains. Clear exit labels on chart for real-time trade tracking and decision making. 🔥 Why Choose This Strategy? Provides fast and reliable signals on 15-minute timeframe, protecting you against sudden market moves. Maximizes profits with trailing stops while keeping risks controlled. Built on professional financial models, ideal for both beginners and experienced traders. 📈 How to Use Easily deploy on TradingView with flexible parameters that adjust to your trading style. Automates entry and exit decisions based on real-time market conditions. A powerful companion for traders who want a reliable yet aggressive approach to BTC trading on the 15-minute timeframe.
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ALCIVOOO tarafından
1
ALIP FX Smart Scalper – Precision for 1-Min TradersALIP FX Smart Scalper – Precision for 1-Min Traders Looking for a powerful and clean scalping tool built for the 1-minute chart? This indicator is engineered for serious scalpers who demand high accuracy, zero repaint, and trend-aligned signals. ✅ Key Features: 🔹 Trend-based filtering (EMA logic) 🔹 RSI + ATR + Slope conditions 🔹 No repaint – signals appear only on closed candles 🔹 Buy & Sell alerts with label and audio 🔹 Works best on BTC, NAS100, Gold (1m/5m TF) 💡 Why It Works: The ALIP FX Smart Scalper ignores weak noise signals and only highlights clean trend-following opportunities. Perfect for traders who want fast decisions with logic, not luck. 📌 Live test it now on TradingView 🔗 📥 More tools & education: t.me 🔻 Powered by: ALIP FX "Success Elevated. Trade Smarter." #ALIPFX #ScalpingIndicator #NoRepaint #TradingTools #SmartScalper #BTCUSD #NASDAQ100 #Gold
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ALIP_FX tarafından
Volume bar range# Volume Bar Range (VBR) Indicator ## Overview The Volume Bar Range indicator identifies key support and resistance levels based on high-volume price bars. It creates a visual range that represents significant price levels where the market has shown strong interest through volume confirmation. ## Features ### Visual Range Display - **Blue/Aqua Area**: Shows the price range of the highest volume bar within the lookback period - **Dynamic Color**: The fill color changes to indicate whether the range is stable (aqua) or newly updated (white) - **Boundary Lines**: Invisible white lines mark the upper and lower boundaries of the range ### Trading Signals - **BUY Signal**: Blue upward arrow appears when price breaks above the resistance level with volume confirmation - **SELL Signal**: Black downward arrow appears when price breaks below the support level with volume confirmation ## How to Use ### Setup 1. Apply the indicator to any chart 2. The indicator automatically identifies the highest volume bar in the last 55 periods 3. The price range of this high-volume bar becomes your support/resistance zone ### Trading Strategy - **Range Trading**: Trade within the identified support/resistance range - **Breakout Trading**: Enter positions when price breaks above resistance (BUY) or below support (SELL) - **Volume Confirmation**: Only take signals when current volume exceeds the 21-period average ### Signal Interpretation - **BUY Signal**: Price closes above the resistance level with above-average volume - **SELL Signal**: Price closes below the support level with above-average volume - **No Signal**: Price remains within the range or volume is insufficient ## Key Parameters - **Lookback Period**: 55 bars (automatically identifies the highest volume bar) - **Volume MA**: 21-period simple moving average for volume confirmation - **Signal Size**: Tiny markers to avoid chart clutter ## Best Practices - Use on multiple timeframes for confirmation - Combine with other technical indicators for stronger signals - Pay attention to the color changes in the range area - Consider market context and overall trend direction ## Ideal Markets - Works well on liquid markets with consistent volume patterns - Effective on stocks, forex, and crypto markets - Best suited for swing trading and medium-term analysis This indicator is particularly useful for traders who rely on volume analysis and want to identify key price levels where the market has shown significant interest.
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pandorid tarafından
2
RSI-BBGun-v6.1RSI BB Gun – Operator's Guide “Eyes on target. Wait for the right moment. Then strike.” ________________________________________ 🎯 Mission Objective RSI BB Gun identifies extreme market conditions using RSI and Bollinger Bands, then overlays trend and volatility intelligence so you know when the setup is real. The ❌ is your target acquisition signal—price just moved from an extreme zone back into play. Now you’ve got a clean radar lock. ________________________________________ 📡 How to Operate 🟣 Step 1: Watch for the ❌'s (Black X = RSI & Bollinger Band Extremes Encountered) • The Purple X means price and RSI are both stretched—and just snapped back into range. • The target is now in the cross hairs and potentially ready for engagement. 🟥 Step 2: Confirm the Trend • The thick ribbon tells you if the trend is with you: o 🟢 Green = Uptrend. Focus on long setups. o 🔴 Red = Downtrend. Focus on puts or short plays. • Align with trend. Only engage when the field favors your position. 🔺 Step 3: Evaluate Signal Context • Green Triangles = price just crossed below lower Bollinger Band (oversold). • Red Triangles = price crossed above upper Band (overbought). • Horizontal Lines Disappeared = The bar after the green or red horizontal line disappears means its time. We patiently wait for this as it means the momentum may be changing. • These are your early indicators—they scout the setup on the GO / NO GO DECISION. • ❌ + triangle + trend = clean shot. ________________________________________ ☁️ Avoid These Situations • ❌ in a choppy/no-trend zone = false alarm. Don’t engage. • Repeated black ❌s without a purple ❌confirmation = low conviction. Let it go. ________________________________________ ________________________________________ 🪖 Operator's Mindset “You don’t chase trades. You stalk them. When the ❌ flashes, the system has found a target. What you do next is up to your discipline, your tools, and your plan.” ________________________________________ Note: This is a free version. Upcoming paid version includes multi-timeframes working together. Multiple strategies. Volatility meter. Make money and master the BB Gun so that you can elevate to the Snipers weapon. 🔒 Want More Firepower? Upgraded version coming soon. Unlocks next-gen targeting tools: • Multi-timeframe RSI intelligence in a live dashboard • Precision-timed combo signals based on layered volatility + RSI logic • Advanced trend filters, trade zone overlays, and sniper-level entry indicators • Ideal for swing traders and options strategists who want clarity under pressure 💥 Budget-friendly. No subscription. Upgrade when you're ready to go Pro. Tip: Make 4+ trades mastering this setup. Then use a small portion of the trades to gain more features. Always be in a position you cannot lose. 🆚 Why This Beats Standard RSI/BB Tools Mission Feature Basic Indicators RSI Ribbon Lite Trend Confirmation ❌ ✅ Ribbon Overlay Multi-Timeframe Awareness ❌ ✅ 5-Timeframe RSI Grid Volatility Confirmation ❌ ✅ Weighted ATR Scoring Combo Signal Alerts ❌ ✅ ❌ Reentry Combo Alerts TradingView Alerts ❌ ✅ Built-In Radar Ping #rsi #bb #bollingerbands #hull ma #trend
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realestatecoach5 tarafından
6
Omega Market Mood Meter [OmegaTools]The Omega Market Mood Meter is a precision-built sentiment oscillator that captures the market’s emotional intensity through a multi-layered RSI system. Designed for traders who seek to align with the market's true behavioral state, it blends momentum readings with a brand-new, rarely-seen innovation: the Sentiment-Weighted Moving Average (WMA-Ω)—a trend filter that dynamically adjusts to the market’s psychological tone. 🧠 Market Mood Oscillator At its core, the Ω 3M oscillator aggregates three RSI-based components: RSI(9) on close — captures short-term tension; RSI(21) on HLC3 — balances medium-term positioning; RSI(50) on HL2 — reflects long-term directional weight. Each input is scaled and weighted to contribute to a final oscillator centered around zero, with ±50 and ±100 acting as key sentiment boundaries. When values exceed ±100, the market is likely reaching emotional extremes—zones that often precede reversals or require caution. Visual features include: Dynamic Background Highlighting: automatically emphasizes extreme sentiment zones. Reference Lines: plotted at ±100, ±50, and 0 for fast sentiment interpretation. 🔥 WMA-Ω: Sentiment-Weighted Moving Average The standout innovation of this tool is the Weighted Market Mood Moving Average, or WMA-Ω—a proprietary calculation that averages price using the absolute value of sentiment as its weighting force. This approach gives greater importance to price during periods of strong emotional conviction (either bullish or bearish), resulting in a context-aware trend filter that reacts only when sentiment truly matters. This technique: Filters noise during low-volatility or indecisive conditions; Enhances reliability by reacting to meaningful sentiment surges; Offers a more psychologically-adjusted trend baseline compared to traditional MAs. Visually: When price is above WMA-Ω, a semi-transparent bullish fill highlights underlying strength; When below, a bearish fill reveals dominant downward sentiment. This feature is unique among public TradingView tools and provides an edge in identifying trend quality with psychological context. ✅ How to Use Extreme Sentiment Zones (±100): Use as contrarian warning zones or signal dampeners. Crosses of WMA-Ω: Treat these as psychological trend confirmations; price above indicates structurally bullish sentiment and vice versa. Range-bound Bias: Between ±50, sentiment may be indecisive; watch for breakout or alignment with WMA-Ω. Advanced Confluence: Combine with other Omega tools (e.g., Ω Bias Forecaster, Ω IV Walls) for powerful regime-based strategies. Omega Market Mood Meter is ideal for discretionary and systematic traders who want a clean, multi-timeframe sentiment readout and a cutting-edge weighted trend engine grounded in market psychology.
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OmegaTools tarafından
2
RAHA Strategy - Short Roni's Adjusted Hybrid Average – a formula developed by Aharon Roni Pesach. What is RAHA? This is an adjusted hybrid average that gives different weight to outliers: The extreme values (particularly high or low) receive a lower weight. The calculation is based on the standard deviation and average of the data. This results in a more sensitive but stable average that does not ignore outliers – but rather considers them in proportion. The RAHA Short Strategy identifies a negative trend and enters when clear technical conditions are met, such as a downward slope of RAHA 40, RAHA 10 crossing below RAHA 20, and the absence of a sequence of 3 red candles. Entry is also made in the exceptional case of a red candle above the Bollinger Band. The position size is determined by 1% of the capital divided by the stop. The exit is carried out by a stop above the high, or under additional conditions below the profit target (TP). אסטרטגיית השורט RAHA מבוססת על נוסחת ממוצע ייחודית בשם RAHA – ראשי תיבות של: Roni's Adjusted Hybrid Average – נוסחה שפיתח אהרון רוני פסח. מהו RAHA? מדובר בממוצע היברידי מתואם המעניק משקל שונה לנתונים חריגים: הערכים הקיצוניים (גבוהים או נמוכים במיוחד) מקבלים משקל נמוך יותר. החישוב מבוסס על סטיית התקן והממוצע של הנתונים. כך מתקבל ממוצע רגיש אך יציב יותר, שאינו מתעלם מהחריגים – אלא מתחשב בהם בפרופורציה. אסטרטגיית השורט RAHA מזהה מגמה שלילית ומבצעת כניסה כשמתקיימים תנאים טכניים ברורים, כמו שיפוע יורד של RAHA 40, חציית RAHA 10 מתחת ל‑RAHA 20, והיעדר רצף של 3 נרות אדומים. הכניסה מבוצעת גם במקרה חריג של נר אדום מעל רצועת בולינגר. גודל הפוזיציה נקבע לפי 1% מההון חלקי הסטופ. היציאה מבוצעת לפי סטופ מעל הגבוה, או בתנאים נוספים מתחת ליעד הרווח (TP).
Pine Script® stratejisi
RoniPesach tarafından
RAHA Strategy - LongThe RAHA Long Strategy is based on a unique average formula called RAHA – an acronym for: Roni's Adjusted Hybrid Average – a formula developed by Aharon Roni Pesach. What is RAHA? This is an adjusted hybrid average that gives different weight to outliers: The extreme values ​​(particularly high or low) receive a lower weight. The calculation is based on the standard deviation and average of the data. This results in a more sensitive but stable average that does not ignore outliers – but rather considers them in proportion. The RAHA Long Strategy identifies a positive trend and enters when clear technical conditions are met, such as an upward slope of RAHA 40, RAHA 10 crossing above RAHA 20, and the absence of a sequence of 3 green candles. Entry is also made in the exceptional case of a green candle below the Bollinger Band. The position size is determined by 1% of the capital divided by the stop. The exit is carried out by a stop below the low, or under additional conditions above the profit target (TP). אסטרטגיית הלונג RAHA מבוססת על נוסחת ממוצע ייחודית בשם RAHA – ראשי תיבות של : Roni's Adjusted Hybrid Average – נוסחה שפיתח אהרון רוני פסח. מהו RAHA? מדובר בממוצע היברידי מתואם המעניק משקל שונה לנתונים חריגים: הערכים הקיצוניים (גבוהים או נמוכים במיוחד) מקבלים משקל נמוך יותר. החישוב מבוסס על סטיית התקן והממוצע של הנתונים. כך מתקבל ממוצע רגיש אך יציב יותר, שאינו מתעלם מהחריגים – אלא מתחשב בהם בפרופורציה. אסטרטגיית הלונג RAHA מזהה מגמה חיובית ומבצעת כניסה כשמתקיימים תנאים טכניים ברורים, כמו שיפוע עולה של RAHA 40, חציית RAHA 10 מעל RAHA 20, והיעדר רצף של 3 נרות ירוקים. הכניסה מבוצעת גם במקרה חריג של נר ירוק מתחת לרצועת בולינגר. גודל הפוזיציה נקבע לפי 1% מההון חלקי הסטופ. היציאה מבוצעת לפי סטופ מתחת לנמוך, או בתנאים נוספים מעל יעד הרווח (TP).
Pine Script® stratejisi
RoniPesach tarafından
Strategy with DI+/DI-, ADX, RSI, MACD, EMA + Time Stop [EXP. 1]🧠 Concept & Purpose This strategy combines several time-tested technical indicators—DI+/DI-, ADX, RSI, MACD, and long-term EMAs—to filter trend strength, momentum, and timing precision. The goal was to develop a multi-layered trend-following system suitable for low timeframes (tested on BTCUSDT 5m) while controlling risk with tight stop-losses, a high reward ratio, and a time-based exit to avoid long exposure in sideways markets. ⚙️ Components & Logic • ADX + DI+/DI-: Confirm the presence and direction of a strong trend. • RSI: Used to filter momentum bias. Buy signals require RSI > 55, sell signals < 45. • MACD Histogram: Ensures entry is aligned with short-term momentum shifts. • Strong Candle Filter: Filters out weak entries using candle body % strength. • EMA 600 & EMA 2400: Define long-term trend bias. Entries only occur within 25 bars after EMA crossover in trend direction. • Time-Based Stop: If a trade doesn’t move at least 0.75% in favor within 85 bars, it is closed to minimize stagnation. • Reward-Risk Management: 1% stop-loss, 7.5:1 reward-to-risk ratio. • One Signal Per Trend Shift: Only takes the first entry after each EMA cross. 📊 Strategy Settings & Backtest Conditions • Initial Capital: $10,000 • Commission: 0.1% per trade • Timeframe: 5-minute • Test Range: Jan–Apr 2023 • Sample Size: Limited (⚠️ <10 trades – experimental phase) Backtest Results (v1.0) This version showed: • ✅ 66.7% win rate on 3 trades • 📉 P/L: +11,257.46 USDT (+112.57%) • 🔻 Max drawdown: 5.03% • 📈 Profit factor: 11.01 In an earlier test configuration: • ❌ 5 trades, 0 wins • 📉 -14.45% total P&L • ⚠️ All losses hit the 1.5% stop • ⚠️ Profit factor: 0.00 This contrast shows how sensitive the logic is to market context and parameter tuning. 💡 Purpose of Publication This strategy is experimental and educational. It is open-sourced for transparency and to help other traders learn how complex indicator stacking may or may not work in real environments. The failed and improved tests are both part of the process. ⚠️ Disclaimer This script is not financial advice. Please do your own research, forward-test it thoroughly, and adjust parameters based on your asset and timeframe.
Pine Script® stratejisi
bnzraguilar tarafından
BTC Correlation CoefficientThe BTCUSDT Correlation Coefficient indicator measures the strength and direction of the relationship between the selected asset (e.g., a stock or altcoin) and the price of BTCUSDT over a chosen time period. It uses a custom correlation function to calculate how closely the asset's price movements align with Bitcoin, returning a value between -1 and +1. A coefficient near +1 indicates strong positive correlation, while values near -1 indicate inverse correlation. This helps traders assess whether the asset tends to follow Bitcoin’s price trends or behave independently, enabling more informed decisions on portfolio diversification and market sentiment alignment.
Pine Script® göstergesi
G_Type tarafından
ANDROMEDA - TrendSyncANDROMEDA - TrendSync Pedro Canto - Portfolio Manager | CGA/CGE OVERVIEW Trend Sync is a multi-layered trend-following indicator designed to help traders identify high-probability trend continuation setups while avoiding low-quality entries caused by overbought or oversold market conditions. This indicator combines the power of Moving Averages (MA), MACD , and a visual RSI-based filter to validate both trend direction and timing for entries. It's goal is simple: filter out noise and highlight only the most technically relevant buy and sell signals based on objective momentum and trend criteria. --- WALKTHROUGH This indicator is built for traders seeking to operate in the direction of established trends. It's core principle is to identify and validate current trend conditions, and then signal entry opportunities during pullbacks to key moving averages. Trend identification is achieved through the alignment of two moving averages. When these MAs are crossed and angled in the same direction, they confirm that a trend is in progress. To double-confirm trend direction, the MACD histogram is used—only. When both the MAs and MACD are aligned in the same direction, then the trend is considered valid. Once all trend criteria are met, a dynamic coloring system is activated to visually reinforce the trend across the candles and moving averages. To avoid poor entries during market exhaustion, an RSI-based filter is used. This short-term RSI highlights overbought or oversold zones, helping traders filter trades in extreme price conditions. Only when the trend is validated and price pulls back to one of the MAs will a buy/sell signal be triggered, aligning momentum, price action and timing into a single actionable setup. This combination ensures that each component plays a specific role: i) Moving Averages define the trend ii) MACD validates it iii) RSI filters noise iv) Intrabar price action triggers entries This synchronism helps improve decision-making and entry timing, especially for swing and intraday traders. --- USE CASES - Identifying trend continuation setups - Filtering false signals during consolidation phases - Avoiding trades in overbought or oversold zones - Enhancing entry timing for both swing and intraday strategies - Providing visual confirmation of trend strength and momentum alignment --- KEY FEATURES 1. Dual Moving Average Setup The indicator allows full customization of two moving averages (MA1 and MA2), supporting both EMA and SMA types. The slope of the longer MA (MA2) acts as an essential trend filter, ensuring signals are only generated when the market shows clear directional bias. 2. MACD Histogram Trend Confirmation A classic MACD Histogram calculation is used to validate the momentum of the prevailing trend. - Bullish Trend: Histogram > 0 - Bearish Trend: Histogram < 0 This step filters out counter-trend signals and ensures trades are aligned with momentum. 3. Intrabar Price Trigger Unlike standard crossover systems, this indicator waits for intrabar price action to trigger entries: - Buy Signal: Price crosses below one of the MAs during an uptrend (dip-buy logic) - Sell Signal: Price crosses above one of the MAs during a downtrend (rally-sell logic) This intrabar trigger improves entry timing and helps capture retracement-based opportunities. 4. RSI Visual Filter A short-term RSI is plotted and color-coded to visually highlight overbought and oversold conditions, acting as a discretionary filter for users to avoid low-probability trades during exhaustion points. 5. Dynamic Coloring System Bar Colors: - Blue: Bullish trend - Red: Bearish trend - Orange: RSI Overbought/Oversold zones MA Colors: - Blue for bullish conditions - Red for bearish conditions - Gray for neutral/no-trend phases 6. Signal Markers and Alerts Clear visual buy and sell markers are plotted directly on the chart. Additionally, the indicator includes real-time alerts for both Buy and Sell signals, helping traders stay informed even when away from the screen. --- INPUTS AND CUSTOMIZATION OPTIONS - Moving Average Types: EMA or SMA for both MA1 and MA2. - MACD Settings: Customizable fast, slow, and signal periods. - RSI Settings: Source, length, and overbought/oversold levels fully adjustable. - Color Customization: Adjust RSI zone colors to suit your chart theme. --- DISCLAIMER This indicator is a technical analysis tool designed for educational and informational purposes only. It should not be used as a standalone trading system. Always combine it with sound risk management, price action analysis, and, where applicable, fundamental context. Past performance does not guarantee future results.
Pine Script® göstergesi
Pedro_Canto tarafından
2
Buy Opportunity Score Table (21 Points)## 📊 Script Title: **Buy Opportunity Score Table (21 Points)** --- ## 📝 Script Description: This TradingView script is a **custom multi-indicator scoring system** designed to identify **buying opportunities** in stocks, indices, or ETFs by evaluating momentum, volume strength, and overall market sentiment. It gives a score out of **21 points** using 6 key indicators, and highlights **potential buy signals** when the score crosses **8 points or more**. --- ## ✅ Key Features: ### 📌 1. **Indicators Used (21 Points Max)** Each of the following indicators contributes up to 4 points (except Nifty trend, which adds 1 point): | Indicator | Max Points | Logic | | ----------- | ---------- | ---------------------------------- | | Volume | 4 | Volume > 20-day average and rising | | OBV | 4 | OBV rising for 3+ days | | MFI | 4 | MFI > 60 and increasing | | RSI | 4 | RSI > 50 and increasing | | ROC | 4 | Rate of change positive and rising | | Nifty Trend | 1 | Nifty > yesterday and above 20 EMA | --- ### 📌 2. **Scoring Output** * The **total score** is plotted on the chart and capped at 21. * Score of **8 or higher** is treated as a **buy trigger**. * Permanent horizontal lines are plotted at **8**, **13**, and **17** to show key levels: * **8** → Entry zone * **13** → Accumulation/Build zone * **17** → Strong bullish momentum --- ### 📌 3. **Table Panel (Top Right Corner)** A table shows: * Current and previous day’s score for each indicator * Total score and change from previous day --- ### 📌 4. **Visual Aids** * Background turns **green** when score is **≥ 8** * Permanent **horizontal lines** at score levels **8, 13, and 17** for easy reference --- ### 📌 5. **Alerts** * An `alertcondition` is triggered **when score crosses 8 from below** * You can use this for mobile/email alerts or automated strategies --- ## ⚙️ Inputs: You can customize: * Length of **ROC**, **MFI**, **RSI**, and **Volume SMA** Default values are: * ROC: 10 * MFI: 14 * RSI: 14 * Volume MA: 20 --- ## 🎯 Use Case: This tool is ideal for: * **Swing traders** looking for early signals of accumulation * **Investors** filtering stocks with rising internal strength * **Algo traders** building signal-based strategies based on multi-factor models
Pine Script® göstergesi
raghavprakash05 tarafından