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JARVIS METHOD V.Public by UNIQUE CONSULTINGDiscords: discord.gg/72YE4cEBgD 🔍 Indicator – JARVIS METHOD The JARVIS METHOD is a comprehensive and intelligent trading indicator, designed to deliver multifactor technical analysis to optimize decision-making in financial markets. Developed by UNIQUE973, this tool is the result of years of learning, testing existing strategies, and custom coding. 🧠 Key Features: ✅ Momentum Detection Identifies strong market impulses to catch dynamic moves. ✅ Trend Analysis Tracks the dominant market direction by combining multiple trend indicators. ✅ Volatility Assessment Measures the intensity of price movements to adjust safety zones. ✅ Smart Volume Takes volume into account to validate the strength of a signal. ✅ Clear and Structured Signals Displays entry/exit points based on strict risk management rules. 🎯 Objective: To enable traders—whether beginners or advanced—to operate with a rational, disciplined, and visually clear approach, reducing the emotional impact on their decisions. 📊 Recommended Use: Markets: Forex, Indices, Crypto, Stocks Platforms: MT4 / MT5 / TradingView (depending on version) Compatible with: Day trading, swing trading, scalping (fully adjustable)
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Unique973 tarafından
LORD_SETUPLORD_SETUP — Dynamic Trendlines, RSI Filters & EMA The LORD_SETUP script combines powerful trading tools into a single comprehensive indicator. It’s designed for traders who seek high-precision setups using dynamic,adaptive trendlines, RSI-based confirmations, and moving averages. Key Features: 🔹 Dynamic Trendlines Smart trendlines auto-detect pivot highs/lows and extend forward using slope calculations based on ATR, standard deviation, or linear regression. Get early breakout signals with “B” labels when price breaks key trendlines. 🔹 Multi-Timeframe RSI Filter Integrated RSI filter (default: 15m timeframe) confirms trendline breakouts only when RSI aligns with momentum—RSI > 50 for bullish, < 50 for bearish signals. 🔹 EMA An ultra-responsive moving average that reduces lag while enhancing trend clarity. Color-coded for visual confirmation of momentum shifts. Additional Features: ✅ Fully customizable colors and sensitivities ✅ Works on any timeframe or asset ✅ Includes alerts for both bullish and bearish breakouts
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rajsir1712 tarafından
Intraday Backtest: KAMA + RSI + MACD + RVOL + PSAR Hariss 369Best strategy for intraday trading nifty options. Indicators used has been reflected in the name itself. PSAR has been used for dynamic stop loss. RSI, MACD, PSAR, KAMA have been set to best level of trading. PSAR has been set to capture dynamic SL. Buy: When RSI>50, Positive Cross over of MACD, Volume level >1.5. Price>KAMA>VWAP/20 EMA. Sell: When RSI<50, Negative Cross over of MACD, Volume Level <1.5, Price <KAMA<VWAP/20EMA. Follow PSAR SL Avoid Trading when KAMA is flat.
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harisabat30051975 tarafından
My script//@version=5 strategy("Advanced Breakout + EMA Trend Strategy ", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=10) // === INPUTS === // fastEMA_len = input.int(9, title="Fast EMA") slowEMA_len = input.int(21, title="Slow EMA") atrLen = input.int(14, title="ATR Length") atr_mult_sl = input.float(1.5, title="ATR Stop Loss Multiplier") atr_mult_tp = input.float(3.0, title="ATR Take Profit Multiplier") consolidationBars = input.int(20, title="Consolidation Lookback") volumeSpikeMult = input.float(1.8, title="Volume Spike Multiplier") leverage = input.int(10, title="Leverage", minval=1) // === CALCULATIONS === // fastEMA = ta.ema(close, fastEMA_len) slowEMA = ta.ema(close, slowEMA_len) atr = ta.atr(atrLen) rangeHigh = ta.highest(high, consolidationBars) rangeLow = ta.lowest(low, consolidationBars) volumeAvg = ta.sma(volume, consolidationBars) // === MARKET CONDITIONS === // isTrendingUp = fastEMA > slowEMA isTrendingDown = fastEMA < slowEMA isConsolidating = (rangeHigh - rangeLow) / close < 0.02 isBreakoutUp = close > rangeHigh and volume > volumeAvg * volumeSpikeMult isBreakoutDown = close < rangeLow and volume > volumeAvg * volumeSpikeMult // === ENTRY CONDITIONS === // enterLong = isConsolidating and isBreakoutUp and isTrendingUp enterShort = isConsolidating and isBreakoutDown and isTrendingDown // === EXIT PRICES === // longSL = close - atr * atr_mult_sl longTP = close + atr * atr_mult_tp shortSL = close + atr * atr_mult_sl shortTP = close - atr * atr_mult_tp // === ENTRY/EXIT EXECUTION === // if (enterLong) strategy.entry("Long", strategy.long, comment="Long Entry") strategy.exit("TP/SL Long", from_entry="Long", stop=longSL, limit=longTP) if (enterShort) strategy.entry("Short", strategy.short, comment="Short Entry") strategy.exit("TP/SL Short", from_entry="Short", stop=shortSL, limit=shortTP) // === CHART PLOTTING === // plot(fastEMA, color=color.green, title="Fast EMA") plot(slowEMA, color=color.red, title="Slow EMA") plotshape(enterLong, title="Long Entry", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY") plotshape(enterShort, title="Short Entry", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL") // === ALERT MESSAGES === // alertcondition(enterLong, title="Long Signal", message="Long Entry Signal: BUY at {{close}} | Leverage: " + str.tostring(leverage)) alertcondition(enterShort, title="Short Signal", message="Short Entry Signal: SELL at {{close}} | Leverage: " + str.tostring(leverage))
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michfisher068 tarafından
Inside/Multiple Inside Bars Detector by Yasser R.01Multiple Inside Bars Trading System Detects multiple inside bar patterns with visual alerts, breakout signals, and risk management levels (1:2 RR ratio). Identifies high-probability trading setups. This indicator scans for consecutive inside bar patterns (2+ bars forming within a 'mother bar'), which often precede strong breakouts. When detected, it: 1. Draws clear reference lines showing the mother bar's high/low 2. Alerts when price breaks either level 3. Automatically calculates 1:2 risk-reward stop loss and take profit levels 4. Displays entry points with trade details Ideal for swing traders, the system helps identify consolidation periods before potential trend continuations. Works best on 4H/Daily timeframes. #InsideBars #BreakoutTrading #RiskManagement #SwingTrading #PriceAction Professional-grade inside bar detector that: ✅ Identifies single AND multiple inside bar setups ✅ Provides clean visual references (lines/labels) ✅ Generates breakout signals with calculated RR levels ✅ Self-cleaning - removes old setups automatically Use alongside trend analysis for best results. Customizable in Settings.
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YWMAAAWorld tarafından
1
Inside/Multiple Inside Bars Detector by Yasser R.01Multiple Inside Bars Trading System Detects multiple inside bar patterns with visual alerts, breakout signals, and risk management levels (1:2 RR ratio). Identifies high-probability trading setups. This indicator scans for consecutive inside bar patterns (2+ bars forming within a 'mother bar'), which often precede strong breakouts. When detected, it: 1. Draws clear reference lines showing the mother bar's high/low 2. Alerts when price breaks either level 3. Automatically calculates 1:2 risk-reward stop loss and take profit levels 4. Displays entry points with trade details Ideal for swing traders, the system helps identify consolidation periods before potential trend continuations. Works best on 4H/Daily timeframes. #InsideBars #BreakoutTrading #RiskManagement #SwingTrading #PriceAction Professional-grade inside bar detector that: ✅ Identifies single AND multiple inside bar setups ✅ Provides clean visual references (lines/labels) ✅ Generates breakout signals with calculated RR levels ✅ Self-cleaning - removes old setups automatically Use alongside trend analysis for best results. Customizable in Settings.
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YWMAAAWorld tarafından
1 H TRADEEnglish Explanation Indicator: 1 H TRADE This indicator is designed for altcoins on a 1-hour (1H) timeframe, using SMA (Simple Moving Average) multipliers and TTA (Trend Tracking Average) to analyze price movements. Usage Method Timeframe: Use only on 1H to capture short-term altcoin fluctuations. Buy Signals: Green lines (dark green = stronger, light green = weaker) indicate buys when price drops below. Sell Signals: Red lines (dark red = strongest, others weaker) and TTA above price suggest sells. Support/Resistance: Green lines are support, red lines are resistance for entry/exit points. Confirmation: Verify with RSI, MACD, or volume, especially in overbought/oversold conditions. Things to Pay Attention To Market Conditions: Altcoin volatility and news (e.g., regulations) can affect prices. Overbought/Oversold: Price above top red line = overbought; below bottom green line = oversold. Risk Management: Set stop-loss and take-profit; risk no more than 1-2% of capital. Testing: Test on TradingView’s strategy tester or demo account first. Recommended Strategy Buy: Enter when price nears dark green line with rising volume and RSI > 30. Sell: Exit when price hits dark red line with volume support. Wait: Watch TTA crossovers for potential trend shifts. A powerful tool for short-term altcoin trading, best with disciplined analysis.
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H-S-K25 tarafından
Multi-Volatility Adjusted Moving Average🎯 Core Concept The Multi-Volatility Adjusted Moving Average (MVAMA) is an advanced technical indicator that creates an adaptive moving average with a built-in upward bias. Unlike traditional moving averages that simply follow price, this indicator adjusts upward based on market volatility, making it particularly useful for identifying dynamic resistance levels and trend strength. 🔧 How It Works Key Principle: Upward Volatility Bias Base Calculation: Starts with your chosen moving average (EMA, SMA, etc.) Volatility Measurement: Calculates market volatility using one of 5 different methods Upward Adjustment: Always adds volatility adjustment upward: Adaptive MA = Base MA + Volatility Adjustment Dynamic Resistance: Creates a moving resistance level that adapts to market conditions 📊 5 Volatility Calculation Methods 1. Simple (High-Low Range) Method: (High - Low) / Close × 100 Best For: Clean, straightforward volatility measurement Use Case: General purpose, all market conditions 2. Parkinson (Range-Based Log Volatility) Method: √(ln(High/Low)²) with safety bounds Best For: Intraday volatility without using open/close gaps Use Case: Choppy markets, day trading 3. ATR (Average True Range) Method: Traditional ATR as percentage of price Best For: Handling gaps and limit moves Use Case: Swing trading, gap-prone markets 4. Standard Deviation (Statistical) Method: Standard deviation of price returns Best For: Academic/statistical approach Use Case: Backtesting, quantitative analysis 5. Garman-Klass (OHLC Optimized) Method: 0.5×ln(H/L)² - (2ln2-1)×ln(C/O)² Best For: Most comprehensive volatility using all OHLC data Use Case: Professional trading, maximum accuracy 🎛️ 12 Moving Average Types Fast & Responsive: HMA (Hull): Minimal lag, very responsive DEMA/TEMA: Double/Triple exponential for speed WMA: Weighted for recent price emphasis Balanced: EMA: Classic exponential (default) ALMA: Arnaud Legoux for balanced response LSMA: Linear regression trend following Smooth & Stable: SMA: Simple moving average SMMA/RMA: Smoothed for noise reduction TRIMA: Triangular for maximum smoothness VWMA: Volume-weighted for market participation 💡 Practical Applications Trading Uses: Dynamic Resistance: Acts as adaptive resistance level Trend Strength: Higher volatility = stronger adjustment = more significant level Entry Timing: Price touching the adaptive MA can signal rejection points Risk Management: Volatility bands show market uncertainty Market Analysis: Low Volatility: Adaptive MA stays close to base MA (consolidation) High Volatility: Adaptive MA moves significantly above base MA (trending/breakout) Trend Confirmation: Sustained distance between price and adaptive MA shows trend strength ⚙️ Key Features Risk Management: Volatility Capping: Prevents extreme adjustments (default 15% max) Safety Bounds: All calculations protected against infinite/NaN values Parameter Limits: Sensible ranges for all inputs Visualization Options: Base MA Display: Show underlying moving average Volatility Bands: Visual representation of volatility adjustment Custom Colors: Professional color schemes Clean Interface: Organized input groups Professional Features: Multi-timeframe Support: Works on any timeframe Alert Framework: Ready-to-enable price crossover alerts 🎯 Ideal For: Traders Who Want: Dynamic support/resistance levels Volatility-aware trend analysis Adaptive position sizing based on market conditions Professional-grade technical analysis tools Market Conditions: Trending Markets: Volatility creates meaningful resistance levels Volatile Markets: Adaptive adjustment handles changing conditions All Timeframes: From scalping to position trading 🔍 Unique Advantages: Always Upward Bias: Unlike oscillating indicators, always provides clear directional bias Multi-Volatility Support: Choose the best volatility method for your market/style Comprehensive MA Library: 12 different moving average types Built-in Risk Management: Prevents extreme values that break other indicators Professional Implementation: Publication-ready code with proper documentation This script transforms traditional moving averages into intelligent, volatility-aware tools that adapt to market conditions while maintaining a consistent upward bias for clear directional guidance.
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cirsory tarafından
Dynamic Flow Ribbons [BigBeluga]🔵 OVERVIEW A dynamic multi-band trend visualization system that adapts to market volatility and reveals trend momentum with layered ribbon channels. Dynamic Flow Ribbons transforms price action into flowing trend bands that expand and contract with volatility. It not only shows the active directional bias but also visualizes how strong or weak the trend is through layered ribbons, making it easier to assess trend quality and structure. 🔵 CONCEPTS Uses an adaptive trend detection system built on a volatility envelope derived from an EMA of the average price (HLC3). Measures volatility using a long-period average of the high-low range, which scales the envelope width dynamically. Trend direction flips when the average price crosses above or below these envelopes. Ribbons form around the trend line to show how far price is stretching or compressing relative to the mean. 🔵 FEATURES Volatility-Based Trend Line: A thick, color-coded line tracks the current trend with smoother transitions between phases. Multi-Layered Flow Ribbons: Up to 10 bands (5 above and 5 below) radiate outward from the upper and lower envelopes, reflecting volatility strength and direction. Trend Coloring & Transitions: Ribbons and candles are dynamically colored based on trend direction— green for bullish , orange for bearish . Transparency fades with distance from the core trend band. Real-Time Responsiveness: Ribbon structure and trend shifts update in real time, adapting instantly to fast market changes. 🔵 HOW TO USE Use the color and thickness of the core trend line to follow directional bias. When ribbons widen symmetrically, it signals strong trend momentum . Narrowing or overlapping ribbons can suggest consolidation or transition zones . Combine with breakout systems or volume tools to confirm impulsive or corrective phases . Adjust the “Length” (factor) input to tune sensitivity—higher values smooth trends more. 🔵 CONCLUSION Dynamic Flow Ribbons offers a sleek and insightful view into trend strength and structure. By visualizing volatility expansion with directional flow, it becomes a powerful overlay for momentum traders, swing strategists, and trend followers who want to stay ahead of evolving market flows
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BigBeluga tarafından
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