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BB + RSI & Volume FilterThis script overlays three sets of technical filters on your price chart and generates signals when conditions align: Bollinger Bands Calculates upper, middle, and lower bands using either SMA or EMA. Buy signal when price crosses up through the lower band. Sell signal when price crosses down through the upper band. Volume Filter Computes a simple moving average of volume. Ensures breakout moves have sufficient volume by requiring current volume > SMA(volume) × multiplier. RSI Filter Computes RSI on the chosen source. Buy when RSI crosses above the oversold threshold. Sell when RSI crosses below the overbought threshold. Only plots RSI signals that pass the volume filter. You get: Bollinger entry/exit shapes (labeled “BB ↑/↓”). RSI entry/exit shapes (labeled “RSI”) only when volume confirms the move. Alerts for each signal type. This combination reduces false breakouts by requiring both volatility (Bollinger) or momentum (RSI) and volume confirmation
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vytmar tarafından
1
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
Pine Script® göstergesi
realestatecoach5 tarafından
4
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
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
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
Pine Script® göstergesi
ALIP_FX 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
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
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 :)
Pine Script® göstergesi
HenriqueCentieiro tarafından
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
BTCs RSI Dip & EMA Crossover AlertThis indicator helps you catch potential reversal opportunities after a stock or crypto asset becomes oversold. 🛠 How it works: Watches RSI (Relative Strength Index) First, it waits for RSI to dip below a level you choose (default is 30), which often signals the asset is oversold and due for a bounce. Waits for Price Confirmation After the RSI dip, the indicator watches for the first time price closes above both the 55 EMA and 200 EMA — a strong sign that momentum may be shifting upward. Sends a “Buy” Signal When that happens, the script: Plots a green “Buy” label on the chart Triggers an alert (labeled "Buy Indicator") so you’re notified immediately ⚙️ Customizable Inputs: RSI threshold (e.g. 30 or 25) RSI period (e.g. 14) EMA lengths (default: 55 and 200) ✅ Designed to: Avoid false signals by requiring both RSI weakness and price strength Only trigger once per RSI dip, so you’re not spammed with repeat alerts Use it to stay patient during downtrends and get alerted when the technicals show a possible turnaround. Great for swing traders and longer-term entries.
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BTC4Retirement 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
Chaikin Money Flow (CMF) [ParadoxAlgo]OVERVIEW This indicator implements the Chaikin Money Flow oscillator as an overlay on the price chart, designed to help traders identify institutional money flow patterns. The Chaikin Money Flow combines price and volume data to measure the flow of money into and out of a security, making it particularly useful for detecting accumulation and distribution phases. WHAT IS CHAIKIN MONEY FLOW? Chaikin Money Flow was developed by Marc Chaikin and measures the amount of Money Flow Volume over a specific period. The indicator oscillates between +1 and -1, where: Positive values indicate money flowing into the security (accumulation) Negative values indicate money flowing out of the security (distribution) Values near zero suggest equilibrium between buying and selling pressure CALCULATION METHOD Money Flow Multiplier = ((Close - Low) - (High - Close)) / (High - Low) Money Flow Volume = Money Flow Multiplier × Volume CMF = Sum of Money Flow Volume over N periods / Sum of Volume over N periods KEY FEATURES Big Money Detection: Identifies significant institutional activity when CMF exceeds user-defined thresholds Requires volume confirmation (volume above average) to validate signals Uses battery icon (🔋) for institutional buying and lightning icon (⚡) for institutional selling Visual Elements: Background coloring based on money flow direction Support and resistance levels calculated using Average True Range Real-time dashboard showing current CMF value, volume strength, and signal status Customizable Parameters: CMF Period: Calculation period for the money flow (default: 20) Signal Smoothing: EMA smoothing applied to reduce noise (default: 5) Big Money Threshold: CMF level required to trigger institutional signals (default: 0.15) Volume Threshold: Volume multiplier required for signal confirmation (default: 1.5x) INTERPRETATION Signal Types: 🔋 (Battery): Indicates strong institutional buying when CMF > threshold with high volume ⚡ (Lightning): Indicates strong institutional selling when CMF < -threshold with high volume Background color: Green tint for positive money flow, red tint for negative money flow Dashboard Information: CMF Value: Current Chaikin Money Flow reading Volume: Current volume as a multiple of 20-period average Big Money: Status of institutional activity (BUYING/SELLING/QUIET) Signal: Strength assessment (STRONG/MEDIUM/WEAK) TRADING APPLICATIONS Trend Confirmation: Use CMF direction to confirm price trends Divergence Analysis: Look for divergences between price and money flow Volume Validation: Confirm breakouts with corresponding money flow Accumulation/Distribution: Identify phases of institutional activity PARAMETER RECOMMENDATIONS Day Trading: CMF Period 14-21, higher sensitivity settings Swing Trading: CMF Period 20-30, moderate sensitivity Position Trading: CMF Period 30-50, lower sensitivity for major trends ALERTS Optional alert system notifies users when: Big money buying is detected (CMF above threshold with volume confirmation) Big money selling is detected (CMF below negative threshold with volume confirmation) LIMITATIONS May generate false signals in low-volume conditions Best used in conjunction with other technical analysis tools Effectiveness varies across different market conditions and timeframes EDUCATIONAL PURPOSE This open-source indicator is provided for educational purposes to help traders understand money flow analysis. It demonstrates the practical application of the Chaikin Money Flow concept with visual enhancements for easier interpretation. TECHNICAL SPECIFICATIONS Overlay indicator (displays on price chart) No repainting - all calculations are based on closed bar data Suitable for all timeframes and asset classes Minimal resource usage for optimal performance DISCLAIMER This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always conduct your own analysis and consider risk management before making trading decisions.
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paradoxalgo tarafından
Volatility Flow X | Dual Trend Strategy [VWMA+SMA+ADX]📌 Strategy Title Volatility Flow X | Dual Trend Strategy 🧾 Description 🚀 Strategy Overview Volatility Flow X is a dual-directional trading strategy that combines Volume-Weighted MA (VWMA) for momentum, Simple MA (SMA) for trend direction, ADX for trend strength filtering, and ATR-based volatility cloud for dynamic support/resistance zones. It is designed specifically for high-volatility assets like BTC/USD on intraday timeframes such as 15 min, 30 min, and 1 hour — offering both breakout and trend-following opportunities. 🔬 Technical Components and Sources 1. VWMA (Volume-Weighted Moving Average) Captures volume-weighted momentum shifts. 📚 Kirkpatrick & Dahlquist (2010) — “Technical Analysis” 2. SMA (Simple Moving Average) Used as a baseline trend direction validator. 📚 Ernie Chan — “Algorithmic Trading” (2013) 3. ADX (Average Directional Index) Filters out low-conviction signals based on trend strength. 📚 J. Welles Wilder (1978) — ADX in directional movement systems 4. ATR Cloud (Volatility Envelope) Creates upper and lower dynamic bands using ATR to visualize trend pressure. 📚 Zunino et al. (2017) — Fractal volatility behavior in Bitcoin markets 🧠 Key Features ✅ 3 configurable Long signal modes ✅ 3 configurable Short signal modes ✅ Manually switchable signals for flexibility ✅ Auto-calculated TP/SL using ATR and risk/reward ratio ✅ ADX filter to avoid choppy trends ✅ Visual cloud overlay for support/resistance ✅ Suitable for scalping and short-term swing trading ⚙️ Recommended Settings (for BTC/USDT – 30min) VWMA Length = 18 SMA Length = 50 ATR Length = 14, Multiplier = 2.5 Risk-Reward Ratio = 1.5 ADX Length = 14, Threshold = 18, Lookback = 4 ⚠️ Disclaimer This strategy is not financial advice. Please backtest and understand the risks before using it in live markets.
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ALCIVOOO 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.
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bnzraguilar tarafından
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).
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