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Trend Analizi

PRO Investing - ATR Quant.algo by proinvesting.coATR Quant.algo by PROInvesting.co A powerful and visually intuitive trend-following system designed to capture high-momentum moves and avoid market chop. Quant.algo combines a dynamic trend-following EMA with multi-level ATR volatility zones to provide a complete trading framework with clear entry signals, stop-loss levels, and take-profit targets. Key Features: Dynamic Trend EMA: A thick baseline that turns Green for uptrends and Red for downtrends. Only trade in the direction of the trend. Multi-Level ATR Zones: Automatically adapting channels that define ideal zones for entries, stops, and profit-taking. Volatility Filter: A smart filter that tints the background when volatility is expanding, helping you avoid sideways markets and only trade when the market is ready to move. Pullback Entry Signals: Clear BUY and SELL arrows appear after a pullback to the EMA, providing high-probability entry points. Simple Trading Rules: Go LONG: When the baseline is Green, wait for a Green BUY arrow, and aim for the upper TP Zone. Place your stop below the orange Stop Zone line. Go SHORT: When the baseline is Red, wait for a Red SELL arrow, and aim for the lower TP Zone. Place your stop above the orange Stop Zone line. Best For: Traders: Swing Traders & Position Traders. Timeframes: 4-Hour (H4) and Daily (D1). Assets: Trending markets (Indices, Forex, Crypto).
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PRO-Investing tarafından
Relative Strength Suite [BLC]📊 Relative Strength Suite A powerful, all-in-one relative strength toolkit for traders and analysts. Whether you're a trend follower, momentum trader, or sector rotator, this script gives you the flexibility to analyze and screen assets using three distinct RS methodologies—all in one clean interface. 🔍 What It Does Flexible Relative Strength allows you to compare any asset to a benchmark (like SP:SPX , NASDAQ:QQQ , AMEX:IWM , etc.) using one of four modes: 📈 Relative Strength – Classic price ratio comparison 📘 Dorsey Relative Strength – Smoothed trend-based RS using EMA 📒 Mansfield Relative Strength – Momentum-based RS normalized to its own average 🧮 Screener Mode – Load Indicator into Pine Screener to see all 3 values. 🛠️ Key Features & Settings 🧩 Relative Strength Comparison Symbol: Select the ticker you want to use as a benchmark. Highlights new highs/lows in Relative Strength with dynamic line coloring: 🟢 Green = New high (outperformance) 🔴 Red = New low (underperformance) Optional moving average overlay (SMA, EMA, WMA, HMA) for trend smoothing. ✅ Use Case: Identify when a stock is gaining strength relative to the market or sector. 📘 2. Dorsey RS (Smoothed Trend) Uses an EMA of the RS ratio to smooth out noise. Rising Dorsey RS = consistent outperformance. Falling Dorsey RS = consistent underperformance. ✅ Use Case: Spot long-term relative trends regardless of price volatility. 📒 3. Mansfield RS (Performance Momentum) Compares RS ratio to its own long-term SMA (default 200). Values above 0 = outperforming the benchmark. Values below 0 = underperforming. ✅ Use Case: Ideal for momentum traders and Stan Weinstein-style stage analysis. 🧮 4. Screener Mode Not for use on your chart. This is only to use in TradingView's Pine Screener. Displays all three RS lines simultaneously. Includes all 3 modes to act as screener signals 🛠️How to Use Screener Mode Add this indicator to your favorites list. Open Pine Screener and select this indicator. Select your timeframe. Click Settings & Change Strength Type to Screener > Click Apply Hit Scan! New High Low Signal: Finds stocks making a new RS high (1) or low (-1) over your lookback period. Dorsey Trend Signal: Finds stocks where the smoothed RS trend is rising (1) or falling (-1). Mansfield Zone Signal: Finds stocks where momentum is in the positive zone (1) or negative zone (-1) ✅ Use Case: Quickly scan multiple assets for relative strength breakouts, trend shifts, or momentum zones. 🧪 Pro Tip Combine this indicator with volume, price structure, or moving averages to confirm breakouts and trend strength. Use Screener Mode on a watchlist to identify top RS candidates in seconds. To clean up your screener table, click the column settings icon ( ⋮ ) and uncheck any columns you don't need to see. You can still filter by them even if they are hidden. 📝 Credits & Notes Inspired by classic RS methods (including Dorsey and Mansfield). Final, production-ready version with tooltips, labels, and screener outputs. For educational and informational purposes—always test before live trading! Let me know if you see any bugs, miscalculations, or any features you'd like to see added to it!
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codename_trading tarafından
Silver Bullet🎯 Silver Bullet Macro Time & Bias Framework The Silver Bullet script is a complete framework for identifying high-probability trading windows and directional bias, inspired by ICT concepts. ✅ Key Features: • Macro Sessions Detection – Automatically identifies key time windows (ICT Killzones or custom hours) on any timeframe. • Dynamic Session Boxes – Visual boxes marking each session’s high/low range. • Bias Calculation – Determines Long or Short bias using price action within the session. • Fibonacci Levels – Automatically draws Fibonacci retracements and extensions relative to session ranges. • Adaptive Labels & Tables – Clear labels showing session range, bias, entry, target, and stop levels. • Customizable Timezones & Styles – Supports all chart timezones, different text sizes, and flexible display positions. ⸻ 📈 Optimized for the 5-Minute Chart, but can be applied to other intraday timeframes. 🌐 Learn more & contact support: www.macrobullet.trade
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MacroBullet tarafından
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🦄 Unicorn Entry Checklist🦄 *Unicorn Entry Checklist* is a visual decision-making tool for SMC/ICT traders who want to validate confluence before entering a trade. It provides a structured approach based on Smart Money Concepts including: ✅ Liquidity Grab ✅ MSS with Displacement ✅ BB + FVG/IFVG ✅ Killzone Timing ✅ SMT / 3Drive / StopHunt ✅ Accumulation / Reaccumulation Zones 🎯 Use it to confirm high-probability entries and avoid weak setups. Built for discretionary traders who want clarity and consistency on their charts. Clean visual table with live checklist and auto-scoring. Developed by *@dragosburdulea*
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dragosburdulea tarafından
SuperPerformance_V1.2📊 SUPER PERFORMANCE INDICATOR A comprehensive performance analysis tool that compares your stock against selected indices and tracks sector performance across multiple timeframes. 🎯 MAIN FEATURES ✅ Stock Performance Table • Compares stock vs index performance across 1D, 5D, 10D, 20D, 50D, 200D periods • Shows ✓/✗ indicators for outperformance tracking • Displays percentage gains/losses with color coding (green=positive, red=negative) • Calculates conviction score based on outperformance across timeframes • Provides performance difference between stock and index ✅ Sector Performance Table • Ranks top 5 performing sectors across different timeframes • Shows real-time sector performance with percentage changes • Tracks 19 major Indian market sectors • Customizable time periods (1D, 5D, 10D, 20D, 60D) ✅ Sector Display Box • Shows current stock's sector classification • Customizable positioning and styling • Optional sector abbreviations 🔧 CUSTOMIZATION OPTIONS 📋 Display Settings • Dark/Light mode toggle • Show/hide individual tables • Mini mode for compact view • Index selection (default: NIFTYMIDSML400) 📊 Table Controls • Enable/disable specific columns and rows • Adjustable table size (tiny/small/normal/large) • 9 positioning options for each table • Color customization for backgrounds and text 🎨 Advanced Features • Conviction scoring system (Perfect/Solid/Good/Ok/Weak/Poor) • Real-time performance tracking • Multi-timeframe analysis • Sector rotation insights 📈 CONVICTION LEVELS • Perfect: Outperforms in all periods • Solid: Outperforms in 67%+ periods • Good: Outperforms in 50%+ periods • Ok: Outperforms in 33%+ periods • Weak: Outperforms in some periods • Poor: Underperforms in all periods ⚙️ HOW TO USE 1. Add indicator to your chart 2. Select comparison index in Display Settings 3. Customize visible columns/rows as needed 4. Position tables on screen 5. Analyze green ✓ (outperforming) vs red ✗ (underperforming) 6. Use conviction score for overall performance assessment 🎯 IDEAL FOR • Relative strength analysis • Sector rotation strategies • Performance benchmarking • Indian equity markets Note: Designed specifically for NSE/Indian market analysis with pre-configured sector indices.
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priteshmailbox tarafından
Heiken Ashi CVD v6.8🔷 Heiken Ashi CVD v6.8 — Predictive Gann HiLo + Momentum-Scored Trend System Overview: This premium-grade indicator blends the power of Heiken Ashi smoothing, real CVD (Cumulative Volume Delta), and a predictive Gann Hi-Lo trend engine — engineered for precision, clarity, and long-term stability. 💡 What it Does: ✅ Plots Smart Candles using your choice of: Real CVD-based candles Heiken Ashi CVD (for smoother order-flow clarity) Or Heiken Ashi Price (as a fallback or volatility filter) 🔁 Switches Between 5 Trend Modes: Gann HiLo – Traditional swing logic using high/low smoothing HMA – Fast-reacting trend detection with Hull MA GH-HMA (Average) – Balanced hybrid of HMA and SMA GH-HMA (Confirm) – Requires both HMA and SMA to agree GH-HMA (Score Weighted) – Uses intelligent scoring + momentum to confirm directional confidence ⚡ Optional Momentum Acceleration Filter: Detects trend momentum surges using ROC (Rate of Change) Filters weak signals in Score Weighted mode for higher confidence entries User-toggleable: enable or disable as needed 📢 Alerts You ONLY When It Matters: Buy/Sell signals fire only when both Price and your selected CVD/HA source close beyond the Gann HiLo trendline Ensures the trend has flipped direction, not just flickered 🛡️ Failsafe Design: Auto-fallback to HA Price if CVD data is unavailable Candle logic and MA signals adapt seamlessly to selected source Non-repainting, lightweight, multi-timeframe compatible 🎯 Ideal For: Traders who want clean, high-probability trend signals Volume delta analysts using Heiken Ashi-enhanced CVD Professionals seeking a blend of visual clarity + confirmation logic Anyone who wants predictive edge without repainting 🧠 Bonus: Built with professional-grade logic, clean UI, and future-proof structure. Fully customizable and user-friendly. 💎 Free to Use — Give Back, Not Guess This tool was built to empower traders with transparent logic, predictive structure, and real insight — not just colors and noise. Use it. Share it. Improve it.
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Dtumz tarafından
3Commas DCA Long Short3Commas DCA Long/Short Manager – SuperTrend-Powered This script turns TradingView SuperTrend signals into fully-automated 3Commas actions. On each confirmed bar-close trend flip it: • Starts the chosen Long or Short DCA bot • Closes & stops the opposite bot to keep only one side running Key features • SuperTrend core – ATR Length & Factor are user-tunable • Dual-bot control – independent IDs for Long and Short bots, each can be toggled on/off • Safety first – ignores the very first bar to avoid repaint artefacts • Email/webhook ready – alerts output compact JSON compatible with 3Commas; optional delay seconds parameter included • One-click deployment – drop on any chart, set an “Any alert() function call” alert, paste your 3Commas email address / webhook, and trade hands-free. Back-test thoroughly and use paper trading before going live. Happy automating!
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H_Murdock tarafından
Spot Overlapping FVG - [Fandesoft Trading Academy]🧠 Overview This script plots Higher Timeframe Fair Value Gaps (FVGs) with full visibility and precise placement on lower timeframe charts. Each timeframe (1D–12M) has its own independent toggle, custom label, and box styling, allowing traders to analyze broader market structures across swing and long-term horizons. 🎯 Features ✅ Identifies Fair Value Gaps using a 3-candle logic (candle 1 high vs candle 3 low, and vice versa). ✅ Plots HTF FVG boxes aligned to lower timeframes for comprehensive multi-timeframe analysis. ✅ Supports custom timeframes: 1D to 12M, with individual toggles. ✅ Full visual customization: border color, bullish/bearish box opacity, label font size and color. ✅ Modular inputs to enable or disable specific timeframes for performance. ✅ Uses barstate.isconfirmed logic for stable, non-repainting plots. ⚙️ How It Works The script requests higher timeframe data via request.security. For each confirmed bar, it checks for FVGs based on: Bullish FVG: low >= high Bearish FVG: low >= high If a gap is detected, a box is plotted between candle 1 and candle 3 using box.new(). Timeframe toggles ensure calculations remain within the limit of 40 request.security calls. 📈 Use Cases Swing traders analyzing daily to monthly imbalances for medium-term strategies. Position traders seeking to identify long-term imbalance zones for entries or exits. ICT methodology practitioners visualizing higher timeframe displacement and inefficiencies. Traders layering multiple HTF FVGs to build confluence-based trading decisions.
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alicnsz tarafından
Overlapping FVG - [Fandesoft Trading Academy]🧠 Overview This script plots Higher Timeframe Fair Value Gaps (FVGs) with full visibility and precise placement on lower timeframe charts. Each timeframe (30s–15m) has its own independent toggle, custom label, and box styling, allowing traders to analyze market structures in detail. 🎯 Features ✅ Identifies Fair Value Gaps using a 3-candle logic (candle 1 high vs candle 3 low, and vice versa). ✅ Plots HTF FVG boxes aligned to lower timeframes for intraday analysis. ✅ Supports custom timeframes: 30s to 15m, with individual toggles. ✅ Full visual customization: border color, bullish/bearish box opacity, label font size and color. ✅ Modular inputs to enable or disable specific timeframes for performance. ✅ Uses barstate.isconfirmed logic for stable, non-repainting plots. ⚙️ How It Works The script requests higher timeframe data via request.security. For each confirmed bar, it checks for FVGs based on: Bullish FVG: low >= high Bearish FVG: low >= high If a gap is detected, a box is plotted between candle 1 and candle 3 using box.new(). Timeframe toggles ensure calculations remain within the limit of 40 request.security calls. 📈 Use Cases Scalpers and intraday traders analyzing microstructure. ICT methodology practitioners visualizing displacement and inefficiencies. Traders layering multiple FVG timeframes for confluence.
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alicnsz tarafından
AV BTC Top Cap ModelThe Bitcoin Top Cap Developed by Willy Woo to identify market cycle tops. Top Cap is calculated by multiplying the Average Cap by 35. Average cap is calculated by taking the cumulative sum of daily market cap divided by the age of market in days. Additional Top Cap using 15x multiplier is included to show sensitivity and to gauge the effect of diminishing returns. For the use on BTC Market Cap Chart : No changes necessary. Switching to logarithmic scale in recommended. For the use on BTC Price Chart : After adding the indicator, enable Convert to price setting. Customization of multipliers is enabled in the settings. Data sources used: GLASSNODE:BTC_MARKETCAP and GLASSNODE:BTC_SUPPLY (for price conversion) Note: Use with caution. I coded this for learning. This model might be past it's usefulness date. I am also seeing single digit % difference between this indicator values and top cap indicators available online.
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avflow tarafından
Dynamic Gap Probability ToolDynamic Gap Probability Tool measures the percentage gap between price and a chosen moving average, then analyzes your chart history to estimate the likelihood of the next candle moving up or down. It dynamically adjusts its sample size to ensure statistical robustness while focusing on the exact deviation level. Originality and Value: • Combines gap-based analysis with dynamic sample aggregation to balance precision and reliability. • Automatically extends the sample when exact matches are scarce, avoiding misleading signals on rare extreme moves. • Provides real “next-candle” probabilities based on historical occurrences rather than fixed thresholds or untested heuristics. • Adds value by giving traders an evidence-based edge: you see how similar past deviations actually played out. How It Works: 1. Calculate gap = (close – moving average) / moving average * 100. 2. Round the absolute gap to nearest percent (X%). 3. Count historical bars where gap ≥ X% above or ≤ –X% below. 4. If exact X% count is below the minimum occurrences threshold, include gaps at X+1%, X+2%, etc., until threshold is reached. 5. Compute “next-candle” green vs. red probabilities from the aggregated sample. 6. Display current gap, sample size, green probability, and red probability in a table. Inputs: • Moving Average Type (SMA, EMA, WMA, VWMA, HMA, SMMA, TMA) • Moving Average Period (default 200) • Minimum Occurrences Threshold (default 50) • Table position and styling options Examples: • If price is 3% above the 200-period SMA and 120 occurrences ≥3% are found, with 84 green next candles (70%) and 36 red (30%), the script displays “3% | 120 | 70% green | 30% red.” • If price is 8% below the SMA but only 20 exact matches exist, the script will include 9% and 10% gaps until it reaches 50 samples, then calculate probabilities from that broader set. Why It’s Useful: • Mean-reversion traders see green-probability signals at extreme overbought or oversold levels. • Trend-followers identify continuation likelihood when red probability is high. • Risk managers gauge reliability by inspecting sample size before acting on any signal. Limitations: • Historical probabilities do not guarantee future performance. • Results depend on timeframe and symbol, backtest with your data before trading. • Use realistic slippage and commission when overlaying on strategy scripts.
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Julien_Eche tarafından
ATR Trailing Stop (Seemple)The ATR Trailing Stop (Seemple) is a clean and intuitive trend following indicator that helps traders visualise dynamic stop levels based on market volatility. 1. How it works: Uses the Average True Range (ATR) to calculate trailing stop levels. The stop dynamically adjusts with price movement: Rises in an uptrend to lock in gains. Falls in a downtrend to protect against reversals. Incorporates a flip condition that identifies potential trend shifts when price crosses above or below the stop level. 2. Customisable Inputs: ATR Period : Defines the sensitivity of the volatility calculation. ATR Multiple : Sets how tight or wide the stop should be based on ATR. 3. Application: Ideal for trend-following strategies, trailing stop placement, and visual guidance for exit signals.
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Brandon_Leu tarafından
KT Gaussian Bands🎯 Overview KT Gaussian Bands is an advanced technical indicator that uses Gaussian-weighted smoothing to create dynamic support and resistance bands. This sophisticated algorithm provides high-quality buy and sell signals by filtering market noise and adapting to price volatility. 🔬 How It Works The indicator employs a Gaussian weighting function to smooth price data, creating more accurate trend detection compared to traditional moving averages. The algorithm calculates: Dynamic Upper Band (Resistance Level) Dynamic Lower Band (Support Level) Adaptive Signal Generation based on price interaction with bands 📊 Key Features ✨ Smart Signal Generation 🔺 BUY Signal: When price crosses below the lower band and bounces back up 🔻 SELL Signal: When price crosses above the upper band and drops back down Real-time arrows displayed directly on the chart ⚙️ Customizable Parameters Bandwidth (h): Controls the smoothness of the calculation (Default: 8.0) Multiplier: Adjusts the sensitivity of the bands (Default: 3.0) Source: Choose your preferred price source (Default: Close) Repainting Mode: Toggle between real-time and historical accuracy 🎨 Visual Elements Color-coded bands (Teal for upper, Red for lower) Clear arrow signals for entry/exit points Clean dashboard showing current mode status 📈 Trading Applications Best Timeframes Works effectively on all timeframes Particularly strong on 15M, 1H, and 4H charts Daily charts for swing trading setups Trading Strategies Trend Following: Use signals in the direction of the major trend Mean Reversion: Trade bounces off the bands in ranging markets Breakout Confirmation: Validate breakouts with band penetration Risk Management Use stop-loss below/above the opposite band Position size based on band width (wider = higher volatility) Combine with other indicators for confirmation ⚠️ Important Notes Repainting Mode Enabled: Shows the most accurate current analysis (may change on live bars) Disabled: Historical signals remain fixed (recommended for backtesting) Best Practices Don't trade every signal - wait for high-probability setups Consider market context and overall trend direction Use proper risk management on every trade Backtest on your preferred timeframes before live trading 🔧 Settings Guide Bandwidth (8.0): Lower = More responsive, Higher = Smoother Multiplier (3.0): Lower = More signals, Higher = Fewer but stronger signals Repainting: Enable for live analysis, Disable for backtesting 📊 Performance Characteristics Low Lag: Responds quickly to price changes Noise Reduction: Filters out false signals effectively Adaptive: Automatically adjusts to market volatility Versatile: Works across different market conditions 🎓 Educational Value This indicator demonstrates advanced mathematical concepts in trading: Gaussian distribution applications in finance Dynamic volatility adjustment Weighted moving average techniques ⭐ Why Choose KT Gaussian Bands? Mathematically Sound: Based on proven statistical methods User-Friendly: Clear signals with minimal complexity Flexible: Adapts to your trading style and timeframe Reliable: Consistent performance across market conditions Disclaimer: This indicator is for educational and informational purposes only. Always use proper risk management and never risk more than you can afford to lose. Past performance does not guarantee future results.
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KuytradeTH tarafından
CipherMatrix Dashboard (MarketCipher B)does it work. A lightweight, multi-time-frame overlay that turns MarketCipher B data into an at-a-glance dashboard: Time-frames shown: current chart TF first, then 5 m, 15 m, 30 m, 1 H, 4 H, Daily. Bias icons: 🌙 = bullish (MCB > 0) 🩸 = bearish (MCB < 0) Signal icons: ⬆️ = histogram crosses above 0 (potential long) ⬇️ = histogram crosses below 0 (potential short) Table location: bottom-right of chart; updates on every confirmed bar.
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cdhughes11 tarafından