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Sunmool's Silver Bullet Model FinderICT Silver Bullet Model Indicator - Complete Guide 📈 Overview The ICT Silver Bullet Model indicator is a supplementary tool for utilizing ICT's (Inner Circle Trader) market structure analysis techniques. This indicator detects institutional liquidity hunting patterns and automatically identifies structural levels, helping traders analyze market structure more effectively. 🎯 Core Features 1. Structural Level Identification STL (Short Term Low): Recent support levels formed in the short term STH (Short Term High): Recent resistance levels formed in the short term ITL (Intermediate Term Low): Stronger support levels with more significance ITH (Intermediate Term High): Stronger resistance levels with more significance 2. Kill Zone Time Display London Kill Zone: 02:00-05:00 (default) New York Kill Zone: 08:30-11:00 (default) These are the most active trading hours for institutional players where significant price movements occur 3. Smart Sweep Detection Bear Sweep (🔻): Pattern where price sweeps below lows then recovers - Simply indicates sweep occurrence Bull Sweep (🔺): Pattern where price sweeps above highs then declines - Simply indicates sweep occurrence Important: Sweep labels only mark liquidity hunting locations, not directional bias. 🔧 Configuration Parameters Basic Settings Sweep Detection Lookback: Number of candles for sweep detection (default: 20) Structure Point Lookback: Number of candles for structural point detection (default: 10) Sweep Threshold: Percentage threshold for sweep validation (default: 0.1%) Time Settings London Kill Zone: Active hours for London session New York Kill Zone: Active hours for New York session Visualization Settings Customizable colors for each level type Enable/disable alert notifications 📊 How to Use 1. Chart Setup Most effective on 1-minute to 1-hour timeframes Recommended for major currency pairs (EUR/USD, GBP/USD, etc.) Also applicable to cryptocurrencies and indices 2. Signal Interpretation 🔻 Bear Sweep / 🔺 Bull Sweep Labels Simply indicate liquidity hunting occurrence points Not directional bias indicators Reference for understanding overall context on HTF 🟢 Silver Bullet Long (Huge Green Triangle) After Bear Sweep occurrence Within Kill Zone timeframe Current price positioned above swept level → Actual BUY entry signal 🔴 Silver Bullet Short (Huge Red Triangle) After Bull Sweep occurrence Within Kill Zone timeframe Current price positioned below swept level → Actual SELL entry signal 3. Risk Management Use swept levels as stop-loss reference points Approach signals outside Kill Zone hours with caution Recommended to use alongside other technical analysis tools 💡 Trading Strategies Silver Bullet Strategy Preparation Phase: Monitor charts 30 minutes before Kill Zone Sweep Observation: Identify liquidity hunting points with 🔻🔺 labels (reference only) Entry: Enter ONLY when huge triangle Silver Bullet signal appears within Kill Zone Take Profit: Target opposite structural level or 1:2 reward ratio Stop Loss: Beyond the swept level Important: Small sweep labels are NOT trading signals! Multi-Timeframe Approach Step 1: HTF (Higher Time Frame) Sweep Reference Observe 🔻🔺 sweep labels on 4-hour and daily charts Reference only sweeps occurring at major structural levels HTF sweeps are used to identify liquidity hunting points Reference only, not for directional bias Step 2: Transition to LTF (Lower Time Frame) Move to 15-minute, 5-minute, and 1-minute charts Analyze LTF with reference to HTF sweep information Use STL, STH, ITL, ITH for precise entry point identification Structural levels on LTF are the core of actual trading decisions Only huge triangle (Silver Bullet) signals are actual entry signals Recommended Usage Identify overall sweep occurrence points on HTF (🔻🔺 labels) Use this indicator on LTF to identify structural levels Reference only huge triangle signals for actual trading during Kill Zone Small sweep labels (🔻🔺) are for reference only, not entry signals 📋 Information Table Interpretation Real-time information in the top-right table: Kill Zone Status: Current active session status Level Counts: Number of each structural level type ⚠️ Important Disclaimers Backtesting results do not guarantee future performance Exercise caution during high market volatility periods Always apply proper risk management Recommend comprehensive analysis with other analytical tools 🎓 Learning Resources Study original ICT concepts through free YouTube educational content Research Market Structure analysis techniques Optimize through backtesting for personal use 🔬 Technical Implementation Algorithm Logic Pivot Point Detection: Uses TradingView's built-in pivot functions to identify swing highs and lows Classification System: Automatically categorizes levels based on recent price action frequency Sweep Validation: Confirms legitimate sweeps through price action analysis Time-Based Filtering: Prioritizes signals during institutional active hours Performance Optimization Efficient array management prevents memory overflow Dynamic level cleanup maintains chart clarity Real-time calculation ensures minimal lag 🛠️ Customization Tips Adjust lookback periods based on market volatility Modify kill zone times for different market sessions Experiment with sweep threshold for different instruments Color-code levels according to personal preference 📈 Expected Outcomes When properly implemented, this indicator can help traders: Identify high-probability reversal points Time entries with institutional flow Reduce false signals through kill zone filtering Improve risk-to-reward ratios This indicator automates ICT's concepts into a user-friendly tool that can be enhanced through continuous learning and practical application. Success depends on understanding the underlying market structure principles and combining them with proper risk management techniques.
Pine Script® göstergesi
sunmool_ tarafından
Liquidity Sweep Breakout - LSBLiquidity Sweep Breakout - LSB A professional session-based breakout system designed for OANDA:USDJPY and other JPY pairs. Not guesswork, but precision - built on detailed observation of institutional moves to capture clear trade direction daily. Master the Market’s Daily Bank Flow. --- Strategy Detail: I discovered this strategy after carefully studying how Japanese banks influence the forex market during their daily settlement period. Banks are some of the biggest players in the financial world, and when they adjust or settle their accounts in the morning, it often creates a push in the market. From years of observation, I noticed a consistent pattern, once banks finish their settlements, the market usually continues moving in the same direction that was formed right after those actions. This daily banking flow often sets the tone for the entire trading session, especially for JPY pairs like USDJPY. To capture this move, I built the indicator so that it follows the bank-driven trend with clear rules for entries, stop-loss (SL), and take-profit (TP). The system is designed with professional risk management in mind. By default, it assumes a $10,000 account size, risks only 1% of that balance per trade, and targets a 1:1.5 reward-to-risk ratio. This means for every $100 risked, the potential profit is $150. Such controlled risk makes the system safer and more sustainable for long-term traders. At the same time, users are not limited to this setup, they can adjust the account balance in the settings, and the indicator will automatically recalculate the lot size and risk levels based on their own capital. This ensures the strategy works for small accounts and larger accounts alike. 🌍 Why It Works Fundamentally driven: Based on **daily Japanese banking settlement flows**. Session-specific precision: Targets the exact window when USDJPY liquidity reshapes. Risk-managed: Always calculates lot size based on account and risk preferences. Automatable: With webhook + MT5 EA, it can be fully hands-free. --- ✅ Recommended Pair: USDJPY (best observed behavior). Timeframe: 3-Minute chart. Platform: TradingView Premium (for webhooks). Execution: MT5 via EA. --- 🔎 Strategy Concept The Tokyo Magic Breakout (TMB) is built on years of session observation and the unique daily rhythm of the Japanese banking system. Every morning between 5:50 AM – 6:10 AM PKT (09:50 – 10:10 JST), Japanese banks perform daily reconciliation and settlement. This often sets the tone for the USDJPY direction of the day. This strategy isolates that critical moment of liquidity adjustment and waits for a clean breakout confirmation. Instead of chasing noise, it executes only when price action is aligned with the Tokyo market’s hidden flows. --- 🕒 Timing Logic Session Start: 5:00 AM PKT (Tokyo market open range). Magic Candle: The 5:54 AM PKT candle is marked as the reference “breakout selector.” Checkpoints: First confirmation at 6:30 AM PKT, then every 15 minutes until 8:30 AM PKT. * If price stays inside the magic range → wait. * If a breakout happens but the candle wick touches the range → wait for the next checkpoint. * If by 8:30 AM PKT no clean breakout occurs → the day is marked as No Trade Day (NTD). 👉 Recommended timeframe: 3-Minute chart (3M) for precise signals. --- 📈 Trade Execution Entry: Clean break above/below the magic candle’s range. Stop-Loss: Opposite side of the Tokyo session high/low. Take-Profit: Calculated by Reward\:Risk ratio (default 1.5:1). Lot Size: Auto-calculated based on your risk model: * Fixed Dollar * % of Equity * Conservative (minimum of both). Visuals include: ✅ Entry/SL/TP lines ✅ Shaded risk (red) and reward (green) zones ✅ Trade labels (Buy/Sell with lot size & levels) ✅ TP/SL hit markers --- 🔔 Alerts & Automation (AutoTMB) This strategy is fully automation-ready with EA + MT5: 1. Enable alerts in TMB settings. 2. Insert your PineConnector License Key. 3. Configure your risk management preferences. 4. Create a TradingView alert → in the message box simply type: Pine Script® {{alert_message}} and set the EA webhook. Now, every breakout trade (with exact entry, SL, TP, and lot size) is sent instantly. 👉 On your MT5: * Install the EA. * Use the same license key. * Run it on a VPS or local MT5 terminal. You now have a hands-free trading system: AutoTMB.
Pine Script® stratejisi
humayunmha tarafından
MTF Adaptive Trendline Scalper (ATR + EMA System) By GouravThe MTF Adaptive Trendline Scalper is a precision-built trading tool designed for intraday scalpers and swing traders. 🔹 Core Features: Adaptive Trendline Engine: Dynamically shifts trendline support/resistance using volatility (ATR) and Bollinger-band extremes. Multi-Timeframe Mode: Calculate signals on your chosen higher timeframe or sync with the chart resolution. Automatic Buy/Sell Signals: Clear trend reversal markers (💣 Buy / 🔨 Sell) for fast execution. Volatility Filtering: ATR-based buffer reduces noise in choppy conditions. Extra EMA Overlay: Plots 9 / 15 / 50 / 200 EMAs to help confirm trend bias and momentum. 🔹 How It Helps You Trade: Catch scalping entries with trendline flips. Trade trend-following continuations using EMA alignment. Spot reversals when price pierces the adaptive channel. Works on all assets (Forex, Crypto, Stocks, Indices) and any timeframe. ⚠️ Note: This is not financial advice. Always combine with your own risk management and strategy.
Pine Script® göstergesi
BluePips_22 tarafından
ICT GMMA VegasHigh-Level Summary This indicator blends: ICT concepts (Market Structure Shift, Break of Structure, Order Blocks, Liquidity Pools, Fair Value Gaps, Killzones, etc.). GMMA (Guppy Multiple Moving Averages) to visualize short, medium, and long trend strength. Vegas Tunnels (EMA channels 144/169 and 576/676, plus optional 288/388 mid-tunnels). Vegas Touch entry module with candlestick patterns (Pin Bar 40%, Engulfing 60%). Extra slope EMAs (EMA60 & EMA200 with color change by slope). It not only shows the structure (OB, Liquidity, FVGs) but also plots entry arrows and alerts when Vegas Touch + GMMA align. ⚙️ Script Components 1. GMMA Visualization Short-term EMAs (3–15, green). Medium-term EMAs (30–60, red). Long-term EMAs (100–250, blue). Used to measure crowd sentiment: short EMAs = traders, long EMAs = investors. The script counts how many EMAs the close is above/below: If close above ≥17 → possible buy trend. If close below ≥17 → possible sell trend. Plots arrows for buy/sell flips. 2. Vegas Tunnels Short-term tunnel → EMA144 & EMA169. Long-term tunnel → EMA576 & EMA676. Mid-tunnels → EMA288 & EMA388. Plotted as orange/fuchsia/magenta bands. Conditions: Breakout checks → if close crosses above/below these EMAs compared to prior bar. 3. ICT Toolkit Market Structure Shift (MSS) & BOS (Break of Structure): labels & dotted lines when price shifts trend. Liquidity zones (Buy/Sell): boxes drawn around swing highs/lows with clustering. Fair Value Gaps (FVG/IFVG): automatic box drawing, showing break status. Order Blocks (OB): bullish/bearish blocks, breaker OB recognition. Killzones: highlights NY open, London open/close, Asia session with background shading. Displacement: plots arrows on large impulse candles. NWOG/NDOG: Weekly/Monday Open Gaps. Basically, this section gives a full ICT price action map on the chart. 4. Vegas Touch Entry Module (Pin40/Eng60 + EMA12 switch) This is the custom entry system you added: Logic: If EMA12 > EMA169, use Tunnel (144/169) as reference. If EMA12 ≤ EMA169, use Base (576/676). Hard lock: no longs if EMA12 < EMA676; no shorts if EMA12 > EMA676. Touch condition: Long → price touches lower band (Tunnel/Base). Short → price touches upper band (Tunnel/Base). With ATR/Percent tolerance. Trend filter: Must also align with long-term Vegas direction (144/169 vs 576/676 cross). Close must be on the outer side of the band. Candlestick filter: Pin Bar (≥40% wick) or Engulfing (≥60% bigger body than previous). Cooldown: avoids multiple signals in short succession. Plots: Green triangle below = Long entry. Red triangle above = Short entry. Alerts: triggers once per bar close with full message. 5. Slope EMAs (Extra) EMA60 and EMA200 plotted as thick lines. Color: Green if sloping upward (current > value 2 bars ago). Red if sloping downward. 📡 Outputs & Alerts Arrows for GMMA trend flips. Arrows for Vegas Touch entries. Labels for MSS, BOS, FVGs, OBs. Liquidity/FVG/OB boxes. Background shading for killzones. Alerts: “📡 Entry Alert (Long/Short)” for GMMA. “VT LONG/SHORT” for Vegas Touch. 📝 Key Idea This is not just one system, but a multi-layered confluence tool: ICT structure & liquidity context. GMMA trend recognition. Vegas Tunnel directional bias. Candlestick-based confirmation (Pin/Engulf). Alert automation for live trading. 👉 It’s essentially a trader’s dashboard: structural map + moving averages + entry signals all in one.
Pine Script® göstergesi
allen7326288 tarafından
Same-Direction Candles (Two Symbols)Same-Direction Candles (Two Symbols) What it does Highlights bars on your chart when two symbols print the same candle direction on the chosen timeframe: Both Bullish → one color Both Bearish → another color Great for spotting synchronous moves (e.g., NQ & ES, QQQ & SPY), or confirming risk-on/risk-off with an inverse asset (e.g., NQ vs DXY with inversion). How it works For each bar, the script checks whether close > open (bullish), close < open (bearish), or equal (doji) for: The chart’s symbol A second symbol pulled via request.security() (optionally on a different timeframe) If both symbols are bullish, it paints Bull color; if both are bearish, it paints Bear color. Dojis can be ignored. Inputs Second symbol: Ticker to compare (e.g., CME_MINI:ES1!, NASDAQ:QQQ, TVC:DXY). Second symbol timeframe: Leave blank to use the chart’s TF, or set a specific one (e.g., 5, 15, D). Invert second symbol direction?: Flips the second symbol’s candle direction (useful for inversely related assets like DXY vs indices). Ignore doji candles: Skip highlights when either candle is neutral (open == close). Coloring options: Toggle bar coloring and/or background shading; pick colors; set background transparency. Alerts Three alert conditions: Both Bullish Both Bearish Both Same Direction (bullish or bearish) Create alerts from the Add Alert dialog after adding the script. Use cases Index confluence: NQ & ES moving in lockstep ETF confirmation: QQQ & SPY agreement FX/Index risk signals: Invert DXY against NQ/ES to see when equity strength aligns with dollar weakness Tips For mixed timeframes (e.g., chart on 1m, ES on 5m), set Second symbol timeframe to the higher TF to reduce noise. Keep Ignore dojis on for cleaner signals. Combine with your own entry rules (structure, FVGs, liquidity sweeps). Notes Works on any symbol/timeframe supported by TradingView. Overlay script; no strategy/entries/exits are executed. Past performance ≠ future results; for education only. Version: 1.0 – initial release (bar/background highlights, doji filter, inversion, multi-TF support, alerts).
Pine Script® göstergesi
huhmonkey tarafından
MACD StrategyOverview The "MACD Strategy" is a straightforward trading strategy tested for BTCUSDT Futures on the 1-minute timeframe, leveraging the Moving Average Convergence Divergence (MACD) indicator to identify momentum-based buy and sell opportunities. Developed with input from expert trading analyst insights, this strategy combines technical precision with risk management, making it suitable for traders of all levels on platforms like TradingView. It focuses on capturing trend reversals and momentum shifts, with clear visual cues and automated alerts for seamless integration with trading bots (e.g., Bitget webhooks). #### How It Works This strategy uses the MACD indicator to generate trading signals based on momentum and trend direction: - **Buy Signal**: Triggered when the MACD line crosses above the signal line, and the MACD histogram turns positive (above zero). This suggests increasing bullish momentum. - **Sell Signal**: Triggered when the MACD line crosses below the signal line, and the MACD histogram turns negative (below zero), indicating growing bearish momentum. Once a signal is detected, the strategy opens a position (long for buy, short for sell) with a position size calculated based on your risk tolerance. It includes a stop-loss to limit losses and a take-profit to lock in gains, both dynamically adjusted using the Average True Range (ATR) for adaptability to market volatility. #### Key Features - **MACD-Based Signals**: Relies solely on MACD for entry points, plotted in a separate pane for clear momentum analysis. - **Risk Management**: Automatically calculates position size based on a percentage of your account balance and sets stop-loss and take-profit levels using ATR multipliers and a risk:reward ratio. - **Visual Feedback**: Plots entry, stop-loss, and take-profit lines on the chart with labeled markers for easy tracking. - **Alerts**: Includes Bitget webhook-compatible alerts for automated trading, notifying you of buy and sell signals in real-time. #### Input Parameters - **Account Balance**: Default 10000 – Set your initial trading capital to determine position sizing. - **MACD Fast Length**: Default 12 – The short-term EMA period for MACD sensitivity. - **MACD Slow Length**: Default 26 – The long-term EMA period for MACD calculation. - **MACD Signal Length**: Default 9 – The smoothing period for the signal line. - **Risk Per Trade (%)**: Default 3.0 – The percentage of your account balance risked per trade (e.g., 3% of 10000 = 300). - **Risk:Reward Ratio**: Default 3.0 – The ratio of potential profit to risk (e.g., 3:1 means risking 1 to gain 3). - **SL Multiplier**: Default 1.0 – Multiplies ATR to set the stop-loss distance (e.g., 1.0 x ATR). - **TP Multiplier**: Default 3.0 – Multiplies ATR to set the take-profit distance, adjusted by the risk:reward ratio. - **Line Length (bars)**: Default 25 – Duration in bars for displaying trade lines on the chart. - **Label Position**: Default 'left' – Position of text labels (left or right) relative to trade lines. - **ATR Period**: Default 14 – The number of periods for calculating ATR to measure volatility. #### How to Use 1. **Add to Chart**: Load the "MACD Strategy" as a strategy and the "MACD Indicator" as a separate indicator on your TradingView chart (recommended for BTCUSDT Futures on the 1-minute timeframe). 2. **Customize Settings**: Adjust the input parameters based on your risk tolerance and market conditions. For BTCUSDT Futures, consider reducing `Risk Per Trade (%)` during high volatility (e.g., 1%) or increasing `SL Multiplier` for wider stops. 3. **Visual Analysis**: Watch the main chart for trade entry lines (green for buy, red for sell), stop-loss (red), and take-profit (green) lines with labels. Use the MACD pane below to confirm momentum shifts. 4. **Set Alerts**: Create alerts in TradingView for "Buy Signal" and "Sell Signal" to automate trades via Bitget webhooks. 5. **Backtest and Optimize**: Test the strategy on historical BTCUSDT Futures 1-minute data to fine-tune parameters. The short timeframe requires quick execution, so monitor closely for slippage or latency. #### Tips for Success - **Market Conditions**: This strategy performs best in trending markets on the 1-minute timeframe. Avoid choppy conditions where MACD crossovers may produce false signals. - **Risk Management**: Start with the default 3% risk per trade and adjust downward (e.g., 1%) during volatile periods like BTCUSDT news events. The 3:1 risk:reward ratio targets consistent profitability. - **Timeframe**: Optimized for 1-minute charts; switch to 5-minute or 15-minute for less noise if needed. - **Confirmation**: Cross-check MACD signals with price action or support/resistance levels for higher accuracy on BTCUSDT Futures. #### Limitations - This strategy relies solely on MACD, so it may lag in fast-moving or sideways markets. Consider adding a secondary filter (e.g., RSI) if needed. - Stop-loss and take-profit are ATR-based and may need adjustment for BTCUSDT Futures’ high volatility, especially during leverage trading. #### Conclusion The "MACD Strategy" offers a simple yet effective way to trade momentum shifts using the MACD indicator, tested for BTCUSDT Futures on the 1-minute timeframe, with robust risk management and visual tools. Whether you’re scalping crypto futures or exploring short-term trends, this strategy provides a solid foundation for automated or manual trading. Share your feedback or customizations in the comments, and happy trading!
Pine Script® stratejisi
thetraderlodge tarafından
Custom Volume + Buyer & Price %Title: Custom Volume + Buyer & Price % Description: This indicator helps you see who is controlling the market — buyers or sellers — using volume and price action. It works even if your chart is on a small timeframe (like 5-min or 15-min), by showing Daily, Weekly, and Monthly information from the higher timeframe volume charts. Key Features & How It Works: Buyer % (B%): Measures where the closing price is within the high-low range of a candle. Calculation: \text{Buyer %} = \frac{\text{Close} - \text{Low}}{\text{High} - \text{Low}} \times 100 Interpretation: > 50% → Buyers are stronger < 50% → Sellers are stronger 50% → Balanced Volume Coloring: Volume bars are colored based on Buyer %, not price movement: Green → Buyers dominate Red → Sellers dominate Yellow → Balanced day Higher Timeframe Insight: Displays Daily, Weekly, and Monthly volume & Buyer % even if your chart is on a smaller timeframe. Lets you understand long-term buying or selling pressure while trading intraday. 21-Day Average: Shows average Buyer % and average volume over the past 21 days for trend context. Why It’s Useful: Quickly visualize whether the market is buyer-driven or seller-driven. Identify strong accumulation or distribution days. Works on any chart timeframe while giving higher timeframe perspective. Ideal for traders who want easy, visual insight into market sentiment.
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venkat_27 tarafından
Donchian Squeeze Oscillator# Donchian Squeeze Oscillator (DSO) - User Guide ## Overview The Donchian Squeeze Oscillator is a technical indicator designed to identify periods of low volatility (squeeze) and high volatility (expansion) in financial markets by measuring the distance between Donchian Channel bands. The indicator normalizes this measurement to a 0-100 scale, making it easy to interpret across different timeframes and instruments. ## How It Works The DSO calculates the width of Donchian Channels as a percentage of the middle line, smooths this data, and then normalizes it using historical highs and lows over a specified lookback period. The result is inverted so that: - **High values (80+)** = Narrow channels = Low volatility = Squeeze - **Low values (20-)** = Wide channels = High volatility = Expansion ## Key Parameters ### Core Settings - **Donchian Channel Period (20)**: The number of bars used to calculate the highest high and lowest low for the Donchian Channels - **Smoothing Period (5)**: Applies moving average smoothing to reduce noise in the oscillator - **Normalization Lookback (200)**: Historical period used to normalize the oscillator between 0-100 ### Threshold Levels - **Over Squeeze (80)**: Values above this level indicate strong squeeze conditions - **Over Expansion (20)**: Values below this level indicate strong expansion conditions ## Reading the Indicator ### Color Coding - **Red Line**: Squeeze condition (above 80 threshold) - Markets are consolidating - **Orange Line**: Neutral/trending condition with upward momentum - **Green Line**: Expansion condition or downward momentum ### Visual Elements - **Red Dashed Line (80)**: Squeeze threshold - potential breakout zone - **Gray Dotted Line (50)**: Middle line - neutral zone - **Green Dashed Line (20)**: Expansion threshold - high volatility zone - **Red Background**: Highlights active squeeze periods ## Trading Applications ### 1. Breakout Trading - **Setup**: Wait for DSO to reach 80+ (squeeze zone) - **Entry**: Look for breakouts when DSO starts declining from squeeze levels - **Logic**: Prolonged low volatility often precedes significant price movements ### 2. Volatility Cycle Trading - **Squeeze Phase**: DSO > 80 - Prepare for potential breakout - **Breakout Phase**: DSO declining from 80 - Trade the direction of breakout - **Expansion Phase**: DSO < 20 - Expect trend continuation or reversal ### 3. Trend Confirmation - **Orange Color**: Suggests bullish momentum during expansion - **Green Color**: Suggests bearish momentum or consolidation - Use in conjunction with price action for trend confirmation ## Best Practices ### Timeframe Selection - **Higher Timeframes (Daily, 4H)**: More reliable signals, fewer false breakouts - **Lower Timeframes (1H, 15M)**: More frequent signals but higher noise - **Multi-timeframe Analysis**: Confirm squeeze on higher TF, enter on lower TF ### Parameter Optimization - **Volatile Markets**: Increase Donchian period (25-30) and smoothing (7-10) - **Range-bound Markets**: Decrease Donchian period (15-20) for more sensitivity - **Trending Markets**: Use longer normalization lookback (300-400) ### Signal Confirmation Always combine DSO signals with: - **Price Action**: Support/resistance levels, chart patterns - **Volume**: Confirm breakouts with increasing volume - **Other Indicators**: RSI, MACD, or momentum oscillators ## Alert System The indicator includes built-in alerts for: - **Squeeze Started**: When DSO crosses above the squeeze threshold - **Expansion Started**: When DSO crosses below the expansion threshold ## Common Pitfalls to Avoid 1. **False Breakouts**: Don't trade every squeeze - wait for confirmation 2. **Parameter Over-optimization**: Stick to default settings initially 3. **Ignoring Market Context**: Consider overall market conditions and news 4. **Single Indicator Reliance**: Always use additional confirmation tools ## Advanced Tips - Monitor squeeze duration - longer squeezes often lead to bigger moves - Look for squeeze patterns at key support/resistance levels - Use DSO divergences with price for potential reversal signals - Combine with Bollinger Band squeezes for enhanced accuracy ## Conclusion The Donchian Squeeze Oscillator is a powerful tool for identifying volatility cycles and potential breakout opportunities. Like all technical indicators, it should be used as part of a comprehensive trading strategy rather than as a standalone signal generator. Practice with the indicator on historical data before implementing it in live trading to understand its behavior in different market conditions.
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cgrmetin tarafından
Trend Display Table (with Change Alerts)📌 Indicator: Trend Display Table (with Change Alerts) This indicator helps identify trend direction based on a 15-minute 20 SMA compared against a 10 EMA applied to that SMA. Trend Logic: Bullish → 20 SMA crosses above 10 EMA (on SMA values) Bearish → 20 SMA crosses below 10 EMA (on SMA values) Neutral → No crossover (trend continues from previous state) Display: A compact trend table appears on the chart (top-right), showing the current trend with customizable colors, font size, and background. Alerts: Alerts are triggered only when the trend changes (from Bullish → Bearish or Bearish → Bullish). This prevents repeated alerts on every bar. ✅ Useful for: Confirming higher timeframe trend bias Filtering trades in choppy markets Getting notified instantly when the trend flips
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rishabh22rathi tarafından
Daryl Guppy's Multiple Moving Averages - GMMAThe Guppy EMAs indicator (Daryl Guppy’s method) displays two groups of exponential moving averages (EMAs) on the chart: Fast EMA group: 3, 5, 8, 10, 12, 15 periods (thinner, more responsive lines) Slow EMA group: 30, 35, 40, 45, 50, 60 periods (thicker, smoother lines) Color Logic: Fast EMAs turn AQUA if all fast EMAs are in bullish alignment and slow EMAs are in bullish alignment. Fast EMAs turn ORANGE if all fast EMAs are in bearish alignment and slow EMAs are in bearish alignment. Otherwise, fast EMAs appear GRAY. Slow EMAs turn LIME when in bullish order, RED when bearish, and remain GRAY otherwise. The area between the outermost fast EMAs and slow EMAs is filled with a semi-transparent silver color for visual emphasis.
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arshadfahoum tarafından
Volume % of Diluted Shares OutstandingIndicator does what it says - shows the volume traded per time frame as percentage of shares outstanding. There are three scaling modes, see below. Absolute (0–100%+) → The line values are the true % of diluted shares traded. If the plot is at 12, that means 12% of all diluted shares traded that day. Auto-range (absolute) → The line values are still the true % of shares traded (the y-axis is in real percentages). But the reference lines (25/50/75/100) are not literal percentages anymore; they are markers at fractions of the local min-to-max range. So your blue bars are real (e.g., 12% really is 12%), but the dotted lines are relative. Normalize to 100 → The line values are not the true % anymore. Everything is re-expressed as a fraction of the recent maximum, so 100 = “highest in the lookback window,” not “100% of shares.” If the true max was 30% of shares traded, and today is 15%, then the plot will show 50 (because 15 is half of 30).
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tmfou tarafından
VWAP Executor — v6 (VWAP fix)tarek helishPractical scalping plan with high-rate (sometimes reaching 70–85% in a quiet market) Concept: “VWAP bounce with a clear trend.” Tools: 1–3-minute chart for entry, 5-minute trend filter, VWAP, EMA(50) on 5M, ATR(14) on 1M, volume. When to trade: London session or early New York session; avoid 10–15 minutes before/after high-impact news. Entry rules (buy for example): Trend: Price is above the EMA(50) on 5M and has an upward trend. Entry zone: First bounce to VWAP (or a ±1 standard deviation channel around it). Signal: Bullish rejection/engulfing candle on 1M with increasing volume, and RSI(2) has exited oversold territory (optional). Order: Entry after the confirmation candle closes or a limit close to VWAP. Trade Management: Stop: Below the bounce low or 0.6xATR(1M) (strongest). Target: 0.4–0.7xATR(1M) or the previous micro-high (small return to increase success rate). Trigger: Move the stop to breakeven after +0.25R; close manually if the 1M candle closes strongly against you. Filter: Do not trade if the spread widens, or the price "saws" around VWAP without a trend. Sell against the rules in a downtrend. Why this plan raises the heat-rate? You buy a "small discount" within an existing trend and near the institutional average price (VWAP), with a small target price. مواقعي شركة الماسة للخدمات المنزلية شركة تنظيف بالرياض نقل عفش بالرياض
Pine Script® stratejisi
worldforhost tarafından
FUMO 200 MagnetWhat it does FUMO Magnet measures how far price has stretched away from its long-term “magnet” — a blended EMA/SMA moving average (200 by default). It plots a logarithmic deviation (optionally normalized) as an oscillator around zero. Above 0** → price is above the magnet (stretched up) Below 0** → price is below the magnet (stretched down) Guide levels** highlight potential overbought/oversold zones --- Why log deviation? Log returns make extremes comparable across cycles and compress exponential trends — especially useful for BTC and other crypto assets. Normalization modes further adjust the scale, keeping the oscillator readable on any chart. --- Inputs **Base** * Source (default: Close) * Base Length (default: 200 EMA/SMA) * EMA vs SMA weight (%) — 0% = pure SMA, 100% = pure EMA, 50% = blended * EMA smoothing of deviation — acts as a noise filter **Normalization** * None (Log Deviation) — raw log stretch in % terms * Z-score — deviation in standard deviations (σ) * Robust Z (MAD) — deviation vs median absolute deviation, resistant to outliers * Tanh squash — smooth nonlinear squash of extremes for compact scale * Normalization window (for Z / MAD) * Tanh scale (lower = stronger squash) * Clamp after normalization — hard cap at ±X **Levels** * Guide levels (Upper / Lower) — visual thresholds (default ±12) * Zero line toggle --- ### How to read it * **Trend bias**: sustained time above 0 = uptrend, below 0 = downtrend * **Stretch / mean reversion**: the farther from 0, the higher the reversion risk * **Cross-checks**: combine with structure (HH/HL, LH/LL), volume, or momentum (RSI, MACD) --- ### Recommended settings by timeframe **Long-term (1D / 1W)** * Normalization: None (Log Deviation) * Base Length: 200 * EMA vs SMA weight: 50% (adjust 35–65% for faster/slower magnet) * Deviation smoothing: 20 (10–30 range) * Guide levels: ±12 to ±20 * Use case: cycle extremes, portfolio rebalancing, trim/add logic **Swing (4H – 1D)** * Normalization: Z-score * Window: 200 (100–250) * Smoothing: 14–20 * Guide levels: ±2σ to ±3σ * Use case: stretched conditions across regimes; ±3σ is rare, often mean-reverts **Intraday / Active swing (1H – 4H)** * Normalization: Robust Z (MAD) * Window: 200 (150 for faster response) * Smoothing: 10–16 * Guide levels: ±3 to ±4 (robust units) * Use case: handles spikes better than σ, fewer false overbought/oversold signals **Scalping / Universal readability (15m – 1H)** * Normalization: Tanh squash * Tanh scale: 6–10 (start with 8) * Smoothing: 8–12 * Guide levels: ±8 to ±12 * Use case: compact panel across assets and timeframes; not % or σ, but visually consistent --- ### Optional * Clamp: enable ±20 (or ±25) for strict bounded range (useful for public charts) --- ### Quick setups **BTC Daily (“cycle view”)** * Normalization: None * Blend: 50% * Smooth: 20 * Levels: ±12–15 **BTC 4H (“swing”)** * Normalization: Z-score * Window: 200 * Smooth: 16 * Levels: ±2.5σ to ±3σ **Alts 1H (“volatile”)** * Normalization: Robust Z (MAD) * Window: 200 * Smooth: 12 * Levels: ±3.5 to ±4.5 **Mixed assets 15m (“compact panel”)** * Normalization: Tanh squash * Scale: 8 * Smooth: 10 * Levels: ±8–12 * Clamp: ±20
Pine Script® göstergesi
deerHunter2049 tarafından
Opening Range BreakoutOpen Range Breakout (ORB) – Trading Strategy Documentation Definition: The Open Range Breakout (ORB) is a short-term trading strategy that identifies the price range established during the initial period of market opening (typically the first 15 to 60 minutes) and uses the high and low of that range as key reference levels for potential breakout entries. Components: Open Range High: The highest price traded during the defined opening period. Open Range Low: The lowest price traded during the same period. Breakout Trigger: A price move above the Open Range High or below the Open Range Low, signaling potential continuation momentum. How It Works: Define the Opening Period: Select a time window (e.g., 30 minutes) at market open to establish the initial range. Identify Range Boundaries: Record the high and low prices during this period. Monitor for Breakout: Watch for price to break and close above the Open Range High (bullish breakout) or below the Open Range Low (bearish breakout). Enter Trade: Enter long on a confirmed break above the Open Range High, or short on a break below the Open Range Low. Entry may be triggered on a retest of the broken level or with volume confirmation. Set Stop-Loss and Target: Stop-loss: Placed just inside the open range (e.g., below the high for long, above the low for short). Profit target: Based on volatility (e.g., ATR multiple) or support/resistance levels. Key Assumptions: Early price action reflects initial market sentiment. A breakout from this range indicates strong directional momentum likely to continue. Best Conditions: High liquidity markets (e.g., major indices, large-cap stocks). Volatile or news-driven trading sessions. Used primarily in intraday trading. Limitations: Prone to false breakouts during low-volume or choppy markets. Requires strict risk management due to reliance on timing and confirmation. Conclusion: The ORB strategy capitalizes on early market momentum by trading breakouts from the initial price range. Its effectiveness depends on precise range definition, timely execution, and disciplined risk control.
Pine Script® göstergesi
Broly_88 tarafından
RTH Levels: VWAP + PDH/PDL + ONH/ONL + IBAlgo Index — Levels Pro (ONH/ONL • PDH/PDL • VWAP±Bands • IB • Gaps) Purpose. A session-aware, non-repainting levels tool for intraday decision-making. Designed for futures and indices, with clean visuals, alerts, and a one-click Minimal Mode for screenshot-ready charts. What it plots • PDH/PDL (RTH-only) – Prior Regular Trading Hours high/low, computed intraday and frozen at the RTH close (no 24h mix-ups, no repainting). • ONH/ONL – Prior Overnight high/low, held throughout RTH. • RTH VWAP with ±σ bands – Volume-weighted variance, reset each RTH. • Initial Balance (IB) – First N minutes of RTH, plus 1.5× / 2.0× extensions after IB completes. • Today’s RTH Open & Prior RTH Close – With gap detection and “gap filled” alert. • Killzone shading – NY Open (09:30–10:30 ET) and Lunch (11:15–13:30 ET). • Values panel (top-right) – Each level with live distance in points & ticks. • Right-edge level tags – With anti-overlap (stagger + vertical jitter). • Price-scale tags – Native trackprice markers that always “stick” to the axis. ⸻ New in v6.4 • Minimal Mode: one click for a clean look (thinner lines, VWAP bands/IB extensions hidden, on-chart right-edge labels off; price-scale tags remain). • Theme presets: Dark Hi-Contrast / Light Minimal / Futures Classic / Muted Dark. • Anti-overlap controls: horizontal staggering, vertical jitter, and baseline offset to keep tags readable even when levels cluster. ⸻ Quick start (2 minutes) 1. Add to chart → keep defaults. 2. Sessions (ET): • RTH Session default: 09:30–16:00 (US equities cash hours). • Overnight Session default: 18:00–09:29. Adjust for your market if you use different “day” hours (e.g., many use 08:20–13:30 ET for COMEX Gold). 3. Theme & Minimal Mode: pick a Theme Preset; enable Minimal Mode for screenshots. 4. Visibility: toggle PD/ON/VWAP/IB/References/Panel to taste. 5. Right-edge labels: turn Show Right-Edge Labels on. If they crowd, tune: • Anti-overlap: min separation (ticks) • Horizontal offset per tag (bars) • Vertical jitter per step (ticks) • Right-edge baseline offset (bars) 6. Alerts: open Add alert → Condition: and pick the events you want. ⸻ How levels are computed (no repainting) • PDH/PDL: Intraday H/L are accumulated only while in RTH and saved at RTH close for “yesterday’s” values. • ONH/ONL: Accumulated across the defined Overnight window and then held during RTH. • RTH VWAP & ±σ: Volume-weighted mean and standard deviation, reset at the RTH open. • IB: First N minutes of RTH (default 60). Extensions (1.5×/2.0×) appear after IB completes. • Gaps: Today’s RTH open vs prior RTH close; “Gap Filled” triggers when price trades back to prior close. ⸻ Practical playbooks (how to trade around the levels) 1) PDH/PDL interactions • Rejection: Price taps PDH/PDL then closes back inside → mean-reversion toward VWAP/IB. • Acceptance: Close/hold beyond PDH/PDL with momentum → continuation to next HTF/IB target. • Alert: PD Touch/Break. 2) ONH/ONL “taken” • Often one ON extreme is taken during RTH. ONH Taken / ONL Taken → check if it’s a clean break or sweep & reclaim. • Sweep + reclaim near VWAP can fuel rotations through the ON range. 3) VWAP ±σ framework • Balanced: First tag of ±1σ often reverts toward VWAP. • Trend: Persistent trade beyond ±1σ + IB break → target ±2σ/±3σ. • Alerts: VWAP Cross and VWAP Reject (cross then immediate fail back). 4) IB breaks • After IB completes, a clean IB break commonly targets 1.5× and sometimes 2.0×. • Quick return inside IB = possible fade back to the opposite IB edge/VWAP. • Alerts: IB Break Up / Down. 5) Gaps • Gap-and-go: Opening drive away from prior close + VWAP support → trend until IB completion. • Gap-fill: Weak open and VWAP overhead/underfoot → trade toward prior close; manage on Gap Filled alert. Pro tip: Stack confluences (e.g., ONL sweep + VWAP reclaim + IB hold) and respect your execution rules (e.g., require a 5-minute close in direction, or your order-flow confirmation). ⸻ Inputs you’ll actually touch • Sessions (ET): Session Timezone, RTH Session, Overnight Session. • Visibility: toggles for PD/ON/VWAP/IB/Ref/Panel. • VWAP bands: set σ multipliers (±1/±2/±3). • IB: duration (minutes) and extension multipliers (1.5× / 2.0×). • Style & Theme: Theme Preset, Main Line Width, Trackprice, Minimal Mode, and anti-overlap controls. ⸻ Alerts included • PD Touch/Break — High ≥ PDH or Low ≤ PDL • ONH Taken / ONL Taken — First in-RTH take of ONH/ONL • VWAP Cross — Close crosses VWAP • VWAP Reject — Cross then immediate fail back • IB Break Up / Down — Break of IB High/Low after IB completes • Gap Filled — Price trades back to prior RTH close Setup: Add alert → Condition: Algo Index — Levels Pro → choose event → message → Notify on app/email. ⸻ Panel guide The top-right panel shows each level plus live distance from last price: LevelValue (Δpoints | Δticks) Coloring: green if level is below current price, red if above. ⸻ Styling & screenshot tips • Use Theme Preset that matches your chart. • For dark charts, “Dark Hi-Contrast” with Main Line Width = 3 works well. • Enable Trackprice for crisp axis tags that always stick to the right edge. • Turn on Minimal Mode for cleaner screenshots (no VWAP bands or IB extensions, on-chart tags off; price-scale tags remain). • If tags crowd, increase min separation (ticks) to 30–60 and horizontal offset to 3–5; add vertical jitter (4–12 ticks) and/or push tags farther right with baseline offset (bars). ⸻ Behavior & limitations • Levels are computed incrementally; tables refresh on the last bar for efficiency. • Right-edge labels are placed at bar_index + offset and do not track extra right-margin scrolling (TradingView limitation). The price-scale tags (from trackprice) do track the axis. • “RTH” is what you define in inputs. If your market uses different day hours, change the session strings so PDH/PDL reflect your definition of “yesterday’s session.” ⸻ FAQ Q: My PDH/PDL don’t match the daily chart. A: By design this uses RTH-only highs/lows, not 24h daily bars. Adjust sessions if you want a different definition. Q: Right-edge tags overlap or don’t sit at the far right. A: Increase min separation / horizontal offset / vertical jitter and/or push tags farther with baseline offset. If you want markers that always hug the axis, rely on Trackprice. Q: Can I change killzones? A: Yes—edit the session strings in settings or request a version with user inputs for custom windows. ⸻ Disclaimer Educational use only. This is not financial advice. Always apply your own risk management and confirmation rules. ⸻ Enjoy it? Please ⭐ the script and share screenshots using Minimal Mode + a Theme Preset that fits your style.
Pine Script® göstergesi
MyAlgoIndex tarafından
29
FlowStateTrader FlowState Trader - Advanced Time-Filtered Strategy ## Overview FlowState Trader is a sophisticated algorithmic trading strategy that combines precision entry signals with intelligent time-based filtering and adaptive risk management. Built for traders seeking to achieve their optimal performance state, FlowState identifies high-probability trading opportunities within user-defined time windows while employing dynamic trailing stops and partial position management. ## Core Strategy Philosophy FlowState Trader operates on the principle that peak trading performance occurs when three elements align: **Focus** (precise entry signals), **Flow** (optimal time windows), and **State** (intelligent position management). This strategy excels at finding reversal opportunities at key support and resistance levels while filtering out suboptimal trading periods to keep traders in their optimal flow state. ## Key Features ### 🎯 Focus Entry System **Support/Resistance Zone Trading**: - Dynamic identification of key price levels using configurable lookback periods - Entry signals triggered when price interacts with these critical zones - Volume confirmation ensures genuine breakout/reversal momentum - Trend filter alignment prevents counter-trend disasters **Entry Conditions**: - **Long Signals**: Price closes above support buffer, touches support level, with above-average volume - **Short Signals**: Price closes below resistance buffer, touches resistance level, with above-average volume - Optional trend filter using EMA or SMA for directional bias confirmation ### ⏰ FlowState Time Filtering System **Comprehensive Time Controls**: - **12-Hour Format Trading Windows**: User-friendly AM/PM time selection - **Multi-Timezone Support**: UTC, EST, PST, CST with automatic conversion - **Day-of-Week Filtering**: Trade only weekdays, weekends, or both - **Lunch Hour Avoidance**: Automatically skips low-volume lunch periods (12-1 PM) - **Visual Time Indicators**: Background coloring shows active/inactive trading periods **Smart Time Features**: - Handles overnight trading sessions seamlessly - Prevents trades during historically poor performance periods - Customizable trading hours for different market sessions - Real-time trading window status in dashboard ### 🛡️ Adaptive Risk Management **Multi-Level Take Profit System**: - **TP1**: First profit target with optional partial position closure - **TP2**: Final profit target for remaining position - **Flexible Scaling**: Choose number of contracts to close at each level **Dynamic Trailing Stop Technology**: - **Three Operating Modes**: - **Conservative**: Earlier activation, tighter trailing (protect profits) - **Balanced**: Optimal risk/reward balance (recommended) - **Aggressive**: Later activation, wider trailing (let winners run) - **ATR-Based Calculations**: Adapts to current market volatility - **Automatic Activation**: Engages when position reaches profitability threshold ### 📊 Intelligent Position Sizing **Contract-Based Management**: - Configurable entry quantity (1-1000 contracts) - Partial close quantities for profit-taking - Clear position tracking and P&L monitoring - Real-time position status updates ### 🎨 Professional Visualization **Enhanced Chart Elements**: - **Entry Zone Highlighting**: Clear visual identification of trading opportunities - **Dynamic Risk/Reward Lines**: Real-time TP and SL levels with price labels - **Trailing Stop Visualization**: Live tracking of adaptive stop levels - **Support/Resistance Lines**: Key level identification - **Time Window Background**: Visual confirmation of active trading periods **Dual Dashboard System**: - **Strategy Dashboard**: Real-time position info, settings status, and current levels - **Performance Scorecard**: Live P&L tracking, win rates, and trade statistics - **Customizable Sizing**: Small, Medium, or Large display options ### ⚙️ Comprehensive Customization **Core Strategy Settings**: - **Lookback Period**: Support/resistance calculation period (5-100 bars) - **ATR Configuration**: Period and multipliers for stops/targets - **Reward-to-Risk Ratios**: Customizable profit target calculations - **Trend Filter Options**: EMA/SMA selection with adjustable periods **Time Filter Controls**: - **Trading Hours**: Start/end times in 12-hour format - **Timezone Selection**: Four major timezone options - **Day Restrictions**: Weekend-only, weekday-only, or unrestricted - **Session Management**: Lunch hour avoidance and custom periods **Risk Management Options**: - **Trailing Stop Modes**: Conservative/Balanced/Aggressive presets - **Partial Close Settings**: Enable/disable with custom quantities - **Alert System**: Comprehensive notifications for all trade events ### 📈 Performance Tracking **Real-Time Metrics**: - Net profit/loss calculation - Win rate percentage - Profit factor analysis - Maximum drawdown tracking - Total trade count and breakdown - Current position P&L **Trade Analytics**: - Winner/loser ratio tracking - Real-time performance scorecard - Strategy effectiveness monitoring - Risk-adjusted return metrics ### 🔔 Alert System **Comprehensive Notifications**: - Entry signal alerts with price and quantity - Take profit level hits (TP1 and TP2) - Stop loss activations - Trailing stop engagements - Position closure notifications ## Strategy Logic Deep Dive ### Entry Signal Generation The strategy identifies high-probability reversal points by combining multiple confirmation factors: 1. **Price Action**: Looks for price interaction with key support/resistance levels 2. **Volume Confirmation**: Ensures sufficient market interest and liquidity 3. **Trend Alignment**: Optional filter prevents counter-trend positions 4. **Time Validation**: Only trades during user-defined optimal periods 5. **Zone Analysis**: Entry occurs within calculated buffer zones around key levels ### Risk Management Philosophy FlowState Trader employs a three-tier risk management approach: 1. **Initial Protection**: ATR-based stop losses set at strategy entry 2. **Profit Preservation**: Trailing stops activate once position becomes profitable 3. **Scaled Exit**: Partial profit-taking allows for both security and potential ### Time-Based Edge The time filtering system recognizes that not all trading hours are equal: - Avoids low-volume, high-spread periods - Focuses on optimal liquidity windows - Prevents trading during news events (lunch hours) - Allows customization for different market sessions ## Best Practices and Optimization ### Recommended Settings **For Scalping (1-5 minute charts)**: - Lookback Period: 10-20 - ATR Period: 14 - Trailing Stop: Conservative mode - Time Filter: Major session hours only **For Day Trading (15-60 minute charts)**: - Lookback Period: 20-30 - ATR Period: 14-21 - Trailing Stop: Balanced mode - Time Filter: Extended trading hours **For Swing Trading (4H+ charts)**: - Lookback Period: 30-50 - ATR Period: 21+ - Trailing Stop: Aggressive mode - Time Filter: Disabled or very broad ### Market Compatibility - **Forex**: Excellent for major pairs during active sessions - **Stocks**: Ideal for liquid stocks during market hours - **Futures**: Perfect for index and commodity futures - **Crypto**: Effective on major cryptocurrencies (24/7 capability) ### Risk Considerations - **Market Conditions**: Performance varies with volatility regimes - **Timeframe Selection**: Lower timeframes require tighter risk management - **Position Sizing**: Never risk more than 1-2% of account per trade - **Backtesting**: Always test on historical data before live implementation ## Educational Value FlowState serves as an excellent learning tool for: - Understanding support/resistance trading - Learning proper time-based filtering - Mastering trailing stop techniques - Developing systematic trading approaches - Risk management best practices ## Disclaimer This strategy is for educational and informational purposes only. Past performance does not guarantee future results. Trading involves substantial risk of loss and is not suitable for all investors. Users should thoroughly backtest the strategy and understand all risks before live trading. Always use proper position sizing and never risk more than you can afford to lose. --- *FlowState Trader represents the evolution of systematic trading - combining classical technical analysis with modern risk management and intelligent time filtering to help traders achieve their optimal performance state through systematic, disciplined execution.*
Pine Script® stratejisi
TradeManager_PRO tarafından
Support Vs Reward RvCSupport Vs Reward RvC The Support Vs Reward RvC indicator is a simple yet effective tool that analyzes candle strength relative to both price movement and trading volume. Highlights candles where both body size and volume expand or contract, helping traders spot momentum shifts and weakening moves. 📌 How it works: - “C” expect a Continuation of Trend in the next one or two candles; - “R” expect a Reverse of Trend in the next one or two candles. Works well on bigger time candles like 10-15 minutes but also gives important info in day-trading or scalping. Marks candles where both body size and volume increase or decrease, making momentum shifts easy to spot. This smart candle analyzer reveals momentum surges and fading moves through body size and volume dynamics. It compares each candle’s body size (open-to-close range) and its volume against the previous candle. If both the body and volume are greater than the previous candle, a green “C” from Continuation of Trend is displayed under the bar. If both the body and volume are smaller than the previous candle, a red “R” from Reverse of Trend is displayed under the bar. Custom filters allow users to ignore insignificant moves by setting a minimum body size (as % of price) and a minimum volume threshold. 📌 Use cases: Spot momentum shifts when price and volume expand together. Identify weakening moves when both price action and volume contract. Can be combined with other strategies for confirmation of entries or exits. ⚙️ Inputs: Minimum Body Size % (of price): Filters out small candles. Minimum Volume: Ensures only significant moves are marked. This indicator is best used as a confirmation tool within a larger trading strategy, rather than as a standalone buy/sell signal.
Pine Script® göstergesi
arisdet tarafından
Market Outlook Score (MOS)Overview The "Market Outlook Score (MOS)" is a custom technical indicator designed for TradingView, written in Pine Script version 6. It provides a quantitative assessment of market conditions by aggregating multiple factors, including trend strength across different timeframes, directional movement (via ADX), momentum (via RSI changes), volume dynamics, and volatility stability (via ATR). The MOS is calculated as a weighted score that ranges typically between -1 and +1 (though it can exceed these bounds in extreme conditions), where positive values suggest bullish (long) opportunities, negative values indicate bearish (short) setups, and values near zero imply neutral or indecisive markets. This indicator is particularly useful for traders seeking a holistic "outlook" score to gauge potential entry points or market bias. It overlays on a separate pane (non-overlay mode) and visualizes the score through horizontal threshold lines and dynamic labels showing the numeric MOS value along with a simple trading decision ("Long", "Short", or "Neutral"). The script avoids using the plot function for compatibility reasons (e.g., potential TradingView bugs) and instead relies on hline for static lines and label.new for per-bar annotations. Key features: Multi-Timeframe Analysis: Incorporates slope data from 5-minute, 15-minute, and 30-minute charts to capture short-term trends. Trend and Strength Integration: Uses ADX to weight trend bias, ensuring stronger signals in trending markets. Momentum and Volume: Includes RSI momentum impulses and volume deviations for added confirmation. Volatility Adjustment: Factors in ATR changes to assess market stability. Customizable Inputs: Allows users to tweak periods for lookback, ADX, and ATR. Decision Labels: Automatically classifies the MOS into actionable categories with visual labels. This indicator is best suited for intraday or swing trading on volatile assets like stocks, forex, or cryptocurrencies. It does not generate buy/sell signals directly but can be combined with other tools (e.g., moving averages or oscillators) for comprehensive strategies. Inputs The script provides three user-configurable inputs via TradingView's input panel: Lookback Period (lookback): Type: Integer Default: 20 Range: Minimum 10, Maximum 50 Purpose: Defines the number of bars used in slope calculations for trend analysis. A shorter lookback makes the indicator more sensitive to recent price action, while a longer one smooths out noise for longer-term trends. ADX Period (adxPeriod): Type: Integer Default: 14 Range: Minimum 5, Maximum 30 Purpose: Sets the smoothing period for the Average Directional Index (ADX) and its components (DI+ and DI-). Standard value is 14, but shorter periods increase responsiveness, and longer ones reduce false signals. ATR Period (atrPeriod): Type: Integer Default: 14 Range: Minimum 5, Maximum 30 Purpose: Determines the period for the Average True Range (ATR) calculation, which measures volatility. Adjust this to match your trading timeframe—shorter for scalping, longer for positional trading. These inputs allow customization without editing the code, making the indicator adaptable to different market conditions or user preferences. Core Calculations The MOS is computed through a series of steps, blending trend, momentum, volume, and volatility metrics. Here's a breakdown: Multi-Timeframe Slopes: The script fetches data from higher timeframes (5m, 15m, 30m) using request.security. Slope calculation: For each timeframe, it computes the linear regression slope of price over the lookback period using the formula: textslope = correlation(close, bar_index, lookback) * stdev(close, lookback) / stdev(bar_index, lookback) This measures the rate of price change, where positive slopes indicate uptrends and negative slopes indicate downtrends. Variables: slope5m, slope15m, slope30m. ATR (Average True Range): Calculated using ta.atr(atrPeriod). Represents average volatility over the specified period. Used later to derive volatility stability. ADX (Average Directional Index): A detailed, manual implementation (not using built-in ta.adx for customization): Computes upward movement (upMove = high - high ) and downward movement (downMove = low - low). Derives +DM (Plus Directional Movement) and -DM (Minus Directional Movement) by filtering non-relevant moves. Smooths true range (trur = ta.rma(ta.tr(true), adxPeriod)). Calculates +DI and -DI: plusDI = 100 * ta.rma(plusDM, adxPeriod) / trur, similarly for minusDI. DX: dx = 100 * abs(plusDI - minusDI) / max(plusDI + minusDI, 0.0001). ADX: adx = ta.rma(dx, adxPeriod). ADX values above 25 typically indicate strong trends; here, it's normalized (divided by 50) to influence the trend bias. Volume Delta (5m Timeframe): Fetches 5m volume: volume_5m = request.security(syminfo.tickerid, "5", volume, lookahead=barmerge.lookahead_on). Computes a 12-period SMA of volume: avgVolume = ta.sma(volume_5m, 12). Delta: (volume_5m - avgVolume) / avgVolume (or 0 if avgVolume is zero). This measures relative volume spikes, where positive deltas suggest increased interest (bullish) and negative suggest waning activity (bearish). MOS Components and Final Calculation: Trend Bias: Average of the three slopes, normalized by close price and scaled by 100, then weighted by ADX influence: (slope5m + slope15m + slope30m) / 3 / close * 100 * (adx / 50). Emphasizes trends in strong ADX conditions. Momentum Impulse: Change in 5m RSI(14) over 1 bar, divided by 50: ta.change(request.security(syminfo.tickerid, "5", ta.rsi(close, 14), lookahead=barmerge.lookahead_on), 1) / 50. Captures short-term momentum shifts. Volatility Clarity: 1 - ta.change(atr, 1) / max(atr, 0.0001). Measures ATR stability; values near 1 indicate low volatility changes (clearer trends), while lower values suggest erratic markets. MOS Formula: Weighted average: textmos = (0.35 * trendBias + 0.25 * momentumImpulse + 0.2 * volumeDelta + 0.2 * volatilityClarity) Weights prioritize trend (35%) and momentum (25%), with volume and volatility at 20% each. These can be adjusted in code for experimentation. Trading Decision: A variable mosDecision starts as "Neutral". If mos > 0.15, set to "Long". If mos < -0.15, set to "Short". Thresholds (0.15 and -0.15) are hardcoded but can be modified. Visualization and Outputs Threshold Lines (using hline): Long Threshold: Horizontal dashed green line at +0.15. Short Threshold: Horizontal dashed red line at -0.15. Neutral Line: Horizontal dashed gray line at 0. These provide visual reference points for MOS interpretation. Dynamic Labels (using label.new): Placed at each bar's index and MOS value. Text: Formatted MOS value (e.g., "0.2345") followed by a newline and the decision (e.g., "Long"). Style: Downward-pointing label with gray background and white text for readability. This replaces a traditional plot line, showing exact values and decisions per bar without cluttering the chart. The indicator appears in a separate pane below the main price chart, making it easy to monitor alongside price action. Usage Instructions Adding to TradingView: Copy the script into TradingView's Pine Script editor. Save and add to your chart via the "Indicators" menu. Select a symbol and timeframe (e.g., 1-minute for intraday). Interpretation: Long Signal: MOS > 0.15 – Consider bullish positions if supported by other indicators. Short Signal: MOS < -0.15 – Potential bearish setups. Neutral: Between -0.15 and 0.15 – Avoid trades or wait for confirmation. Watch for MOS crossings of thresholds for momentum shifts. Combine with price patterns, support/resistance, or volume for better accuracy. Limitations and Considerations: Lookahead Bias: Uses barmerge.lookahead_on for multi-timeframe data, which may introduce minor forward-looking bias in backtesting (use with caution). No Alerts Built-In: Add custom alerts via TradingView's alert system based on MOS conditions. Performance: Tested for compatibility; may require adjustments for illiquid assets or extreme volatility. Backtesting: Use TradingView's strategy tester to evaluate historical performance, but remember past results don't guarantee future outcomes. Customization: Edit weights in the MOS formula or thresholds to fit your strategy. This indicator distills complex market data into a single score, aiding decision-making while encouraging users to verify signals with additional analysis. If you need modifications, such as restoring plot functionality or adding features, provide details for further refinement.
Pine Script® göstergesi
gautamsubaash tarafından
Globex Overnight Futures ORB with FIB's by TenAMTrader📌 Globex Overnight Futures ORB with FIB’s – by TenAMTrader This indicator is designed for futures traders who want to track the Globex Overnight Opening Range (ORB) and apply Fibonacci projections to anticipate potential support/resistance zones. It’s especially useful for traders who follow overnight sessions (such as ES, NQ, CL) and want to map out key levels before the U.S. regular session begins. ⚙️ How It Works Primary Range (ORB): You define a start and end time (default set to 18:00 – 18:15 EST). During this period, the script tracks the session high, low, and midpoint. Opening Range Plots: High Line (green) Low Line (red) Midpoint Line (yellow) A shaded cloud between High–Mid and Mid–Low for easy visualization. Fibonacci Projections: Once the ORB is complete, the script calculates a full suite of Fibonacci retracements and extensions (e.g., 0.236, 0.382, 0.618, 1.0, 1.618, 2.0). Standard key levels (0.618, 0.786, 1.0, etc.) are always shown if enabled. Optional extended levels (1.236, 1.382, 1.5, 2.0, etc.) can be toggled on/off. "Between Range" fibs (such as 0.382 and 0.618 inside the ORB) are also available for traders who like intra-range precision. 🔧 User Settings Time Inputs: Choose your ORB start/end time. Color Controls: Customize high, low, midpoint, and fib line colors. Display Toggles: Turn on/off High, Low, Midpoint lines and Fibonacci projections. Fib Extensions Toggle: Decide whether to show only major fibs or all extensions. Alerts (Optional): Alerts can be set for crossing the ORB High, Low, or Midpoint. 📊 Practical Use Cases Breakout Traders: Use the ORB high/low as breakout triggers. Mean Reversion Traders: Watch for rejections near fib extension levels. Overnight Futures Monitoring: Track Globex behavior to prepare for RTH open. Risk Management: ORB and Fib levels make for natural stop/target placement zones. ⚠️ Disclaimer This indicator is provided for educational and informational purposes only. It does not constitute financial advice, investment advice, or trading recommendations. Trading futures involves substantial risk of loss and may not be suitable for all investors. Always do your own due diligence and consult with a licensed financial professional before making trading decisions.
Pine Script® göstergesi
TenAM_Trader tarafından