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FxAST Lite Wave — Universal (Profiles: Intraday / Swing)FxAST-LW Universal (Profiles) The FxAST Lite Wave – Universal strategy is designed for adaptability across markets and timeframes, with two ready-to-use profiles: Intraday (5m–1H) → tuned for futures & FX scalps/day trades. Includes session filters, ATR volatility regimes, and impulse confirmation to reduce chop. Swing (1D–3D) → tuned for swing positions. Uses relaxed impulse filters, slope + bias confirmation, and DI-spread to capture bigger moves. Key features: ✅ Multi-EMA Lite Wave core (5/13/62/200) ✅ Regime filter via DI-spread (trend vs chop) ✅ EMA200 slope filter ✅ Optional HTF bias confirmation ✅ ATR-based stops, breakeven & trailing logic ✅ Time-stop exits to avoid capital stagnation ✅ Risk % position sizing Usage: Switch between Intraday and Swing modes via the Profile input. Adjust DI-spread, slope, and impulse thresholds per symbol. Sessions recommended ON for indices (NQ/ES/RTY) and OFF for FX. ⚠️ Disclaimer: This script is for research & educational purposes only. Not financial advice. Test extensively before applying live. Past performance does not guarantee future results. © FxAST
Pine Script® stratejisi
alldyn_pip_king tarafından
Asset in Every Fiat Currency📌 Description Asset in Every Fiat Currency is an indicator that expresses the value of any chosen asset across a basket of global fiat currencies. It uses exchange rates to calculate a weighted aggregate signal, allowing you to see how the asset behaves when priced simultaneously in the world’s most important currencies. ⚖️ Key Features Choose any asset (default: Gold). Weighted by major global currencies (USD, EUR, JPY, GBP, CNY, etc.). Fully customizable weights through user inputs. Automatic normalization factor for consistent scaling. 🛠️ Use Cases Compare an asset’s performance beyond the USD lens. Detect global strength/weakness of an asset in a diversified fiat basket. Explore alternative ways of viewing asset pricing. ⚠️ Disclaimer: This script is for educational purposes only. It does not constitute financial advice. Always do your own research before making trading decisions.
Pine Script® göstergesi
mks17 tarafından
BTC 1D — Trend START/END Signals (clean, no repaint) This strategy is designed primarily for BTC on the daily (1D) timeframe in TradingView. BUY (start of uptrend) Fast EMA is above Slow EMA. Price breaks above the previous Donchian high. Optional filters (if enabled): volume surge and strong momentum/RSI. Only one BUY per uptrend—no additional buys until a SELL occurs. SELL (end of uptrend) Price falls below the previous Donchian low, or Price drops below the Slow EMA, or Momentum flips bearish (DI− > DI+ or RSI ≤ threshold). One SELL marks the end of the uptrend.
Pine Script® göstergesi
Frodo1978 tarafından
Multiple Asset note_table Sections### Features - **Expanded to 10 independent Sections**: Each Section has a title, content, and associated asset - **Asset-based filtering**: Section only displays when the Section's asset name is empty or matches the current chart asset - **Empty asset setting retained**: If Section asset name is left blank, that Section will display across all assets - **Automatic display of current asset**: Current asset name is automatically shown in the header and footer ### Usage Instructions 1. Each Section can be assigned a specific asset name, such as "BTCUSDT", "ETHUSDT", etc. 2. A Section will only display when the current chart asset matches the asset specified for that Section 3. If you want a Section to display across all assets, simply leave the asset name blank for that Section 4. Each Section has independent title and content that can be customized as needed 5. When switching to different trading instruments, the indicator automatically displays notes relevant to the current instrument
Pine Script® göstergesi
yipyunhon tarafından
1
AVWAP+RSI Confluence — 1R TesterRSI + 1R ATR - Monthly P\&L (v4) WHAT THIS STRATEGY DOES (OVERVIEW) * Pine strategy (v4) that combines a simple momentum trigger with a symmetric 1R ATR risk model and an on-chart Monthly/Yearly P\&L table. * Momentum filter: trades only when RSI crosses its own SMA in the direction of the trend (price vs Trend EMA). * Risk engine: exits use fixed 1R ATR brackets captured at entry (no drifting targets/stops). * Accounting: the table aggregates percentage returns by month and year using strategy equity. ENTRY LOGIC (LONGS & OPTIONAL SHORTS) Indicators used: * RSI(rsiLen) and its SMA: SMA(RSI, rsiMaLen) * Trend filter: EMA(emaTrendLen) on price Longs: 1. RSI crosses above its RSI SMA 2. RSI > rsiBuyThr (filters weak momentum) 3. Close > EMA(emaTrendLen) Shorts (optional via enableShort): 1. RSI crosses below its RSI SMA 2. RSI < rsiSellThr 3. Close < EMA(emaTrendLen) EXIT LOGIC AND RISK MODEL (1R ATR) * On entry, snapshot ATR(atrLen) into atrAtEntry and the average fill price into entryPx. * Longs: stop = entryPx - ATR \* atrMult; target = entryPx + ATR \* atrMult * Shorts: mirrored. * Stops and targets are posted immediately and remain fixed for the life of the trade. POSITION SIZING AND COSTS * Default position size: 25% of equity per trade (adjustable in Properties/inputs). * Commission percent and a small slippage are set in strategy() so backtests include friction by default. MONTHLY / YEARLY P\&L TABLE (HOW IT WORKS) * Uses strategy equity to compute bar returns: equity / equity\ - 1. * Compounds bar returns into current month and current year; commits each finished period at month/year change (or last bar). * Renders rows as years; columns Jan..Dec plus a Year total column. * Cells colored by sign; precision and maximum rows are controlled by inputs. * Values represent percentage returns, not currency P\&L. VISUAL AIDS * Two pivot trails (pivot high/low) are plotted for context only; they do not affect entries or exits. CUSTOMIZATION TIPS * Raise rsiBuyThr (long) or lower rsiSellThr (short) to filter weak momentum. * Increase emaTrendLen to tighten trend alignment. * Adjust atrLen and atrMult to fit your timeframe/instrument volatility. * Leave enableShort = false if you prefer long-only behavior or shorting is constrained. NON-REPAINTING AND BACKTEST NOTES * Signals use bar-close crosses of built-in indicators (RSI, EMA, ATR); no future bars are referenced. * calc\_on\_every\_tick = true for responsive visuals; Strategy Tester evaluates on bar close in history. * Backtest stop/limit fills are simulated and may differ from live execution/liquidity. DISCLAIMERS * Educational use only. This is not financial advice. Markets involve risk. Past performance does not guarantee future results. INPUTS (QUICK REFERENCE) * rsiLen, rsiMaLen, rsiBuyThr, rsiSellThr * emaTrendLen * atrLen, atrMult, enableShort * leftBars, rightBars, prec, showTable, maxYearsRows SHORT TAGLINE RSI momentum with 1R ATR brackets and a built-in Monthly/Yearly P\&L table. TAGS strategy, RSI, ATR, trend, risk-management, backtest, Pine-v4
Pine Script® stratejisi
rushikeshy3 tarafından
1
Calculator - AOC📊 Calculator - AOC Indicator 🚀 The Calculator - AOC indicator is a powerful and user-friendly tool designed for TradingView to help traders plan and visualize trades with precision. It calculates key trade metrics, displays entry, take-profit (TP), stop-loss (SL), and liquidation levels, and provides a clear overview of risk management and potential profits. Perfect for both novice and experienced traders! 💡 ✨ Features 📈 Trade Planning: Input your Entry Price, Take Profit (TP), Stop Loss (SL), and Trade Direction (Long/Short) to visualize your trade setup on the chart. 💰 Risk Management: Set your Initial Capital and Risk per Trade (%) to calculate the optimal Position Size and Risk Amount for each trade. ⚖️ Leverage Support: Define your Leverage to compute the Required Margin and Liquidation Price, ensuring you stay aware of potential risks. 📊 Risk/Reward Ratio: Automatically calculates the Risk-to-Reward Ratio to evaluate trade profitability. 🎨 Visuals: Displays Entry, TP, SL, and Liquidation levels as lines and boxes on the chart, with customizable Line Width, Line Style, and Label Size. ✅ Trade Validation: Checks if your trade setup is valid (e.g., correct TP/SL placement) and highlights issues like potential liquidation risks with color-coded statuses (Correct ✅, Incorrect ❌, or Liquidation ⚠️). 📋 Summary Table: A clean, top-right table summarizes key metrics: Capital, Risk %, Risk Amount, Position Size, Potential Profit, Risk/Reward, Margin, Liquidation Price, Trade Status, and % to TP/SL. 🖌️ Customization: Adjust Line Extension (Bars) for how far lines extend, and choose from Solid, Dashed, or Dotted line styles for a personalized chart experience. 🛠️ How to Use Add to Chart: Apply the indicator to your TradingView chart. Configure Inputs: Accountability: Set your Initial Capital and Risk per Trade (%). Target: Enter Entry Price, TP, and SL prices. Leverage: Specify your leverage (e.g., 10x). Direction: Choose Long or Short. Display Settings: Customize Line Width, Line Style, Label Size, and Line Extension. Analyze: The indicator plots Entry, TP, SL, and Liquidation levels on the chart and displays a table with all trade metrics. Validate: Check the Trade Status in the table to ensure your setup is valid or if adjustments are needed. 🎯 Why Use It? Plan Smarter: Visualize your trade setup and understand your risk/reward profile instantly. Stay Disciplined: Precise position sizing and risk calculations help you stick to your trading plan. Avoid Mistakes: Clear validation warnings prevent costly errors like incorrect TP/SL placement or liquidation risks. User-Friendly: Intuitive visuals and a summary table make trade analysis quick and easy. 📝 Notes Ensure Entry, TP, and SL prices align with your trade direction to avoid "Incorrect" or "Liquidation" statuses. The indicator updates dynamically on the latest bar, ensuring real-time visuals. Best used with proper risk management to maximize trading success! 💪 Happy trading! 🚀📈
Pine Script® göstergesi
AlchimistOfCrypto tarafından
Market Opening Time### TradingView Pine Script "Market Opening Time" Explanation This Pine Script (`@version=5`) is an indicator that visually highlights market trading sessions (Sydney, London, New York, etc.) by changing the chart's background color. It adjusts for U.S. and Australian Daylight Saving Time (DST). --- #### **1. Overview** - **Purpose**: Changes the chart's background color based on UTC time zones to highlight market sessions. - **Features**: - Automatically adjusts for U.S. DST (2nd Sunday of March to 1st Sunday of November) and Australian DST (1st Sunday of October to 1st Sunday of April). - Assigns colors to four time zones (00:00, 06:30, 14:00, 21:00). - **Use Case**: Helps forex/stock traders identify active market sessions. --- #### **2. Key Logic** - **DST Detection**: - `f_isUSDst`: Checks U.S. DST status. - `f_isAustraliaDst`: Checks Australian DST status. - **Time Adjustment** (`f_getAdjustedTime`): - U.S. DST off: Shifts `time3` (14:00) forward by 1 hour. - Australian DST off: Shifts `time4` (21:00) forward by 1 hour. - **Time Conversion** (`f_timeToMinutes`): Converts time (e.g., "14:00") to minutes (e.g., 840). - **Current Time** (`f_currentTimeInMinutes`): Gets UTC time in minutes. - **Background Color** (`f_getBackgroundColor`): - Applies colors based on time ranges: - 00:00–06:30: Orange (Asia) - 06:30–14:00: Purple (London) - 14:00–21:00: Blue (New York, DST-adjusted) - 21:00–00:00: Red (Sydney, DST-adjusted) - Outside ranges: Gray --- #### **3. Settings** - **Time Zones**: - `time1` = 00:00 (Orange) - `time2` = 06:30 (Purple) - `time3` = 14:00 (Blue, DST-adjusted) - `time4` = 21:00 (Red, DST-adjusted) - **Colors**: Transparency set to 90 for visibility. --- #### **4. Example** - **September 5, 2025, 10:25 PM JST (13:25 UTC)**: - U.S. DST active, Australian DST inactive. - 13:25 UTC falls between `time2` (06:30) and `time3` (14:00) → Background is **Purple** (London session). - **Effect**: Background color changes dynamically to reflect active sessions. --- #### **5. Customization** - Modify `time1`–`time4` or colors for different sessions. - Add time zones for other markets (e.g., Tokyo). --- #### **6. Notes** - Uses UTC; ensure chart is set to UTC. - DST rules are U.S./Australia-specific; verify for other regions. A simple, visual tool for tracking market sessions. ---- ### TradingView Pine Script「Market Opening Time」解説 このPine Script（`@version=5`）は、市場の取引時間帯（シドニー、ロンドン、ニューヨークなど）を背景色で視覚化するインジケーターです。米国とオーストラリアの夏時間（DST）を考慮し、時間帯を調整します。 --- #### **1. 概要** - **目的**: UTC基準の時間帯に基づき、チャートの背景色を変更して市場セッションを強調。 - **機能**: - 米国DST（3月第2日曜～11月第1日曜）とオーストラリアDST（10月第1日曜～4月第1日曜）を自動調整。 - 4つの時間帯（00:00、06:30、14:00、21:00）に色を割り当て。 - **用途**: FXや株式トレーダーが市場のアクティブ時間を把握。 --- #### **2. 主要ロジック** - **DST判定**: - `f_isUSDst`: 米国DSTを判定。 - `f_isAustraliaDst`: オーストラリアDSTを判定。 - **時間調整** (`f_getAdjustedTime`): - 米国DST非適用時: `time3`（14:00）を1時間遅延。 - オーストラリアDST非適用時: `time4`（21:00）を1時間遅延。 - **時間変換** (`f_timeToMinutes`): 時間（例: "14:00"）を分単位（840）に変換。 - **現在時刻** (`f_currentTimeInMinutes`): UTCの現在時刻を分単位で取得。 - **背景色** (`f_getBackgroundColor`): - 時間帯に応じた色を適用: - 00:00～06:30: オレンジ（アジア） - 06:30～14:00: 紫（ロンドン） - 14:00～21:00: 青（ニューヨーク、DST調整） - 21:00～00:00: 赤（シドニー、DST調整） - 時間外: グレー --- #### **3. 設定** - **時間帯**: - `time1` = 00:00（オレンジ） - `time2` = 06:30（紫） - `time3` = 14:00（青、DST調整） - `time4` = 21:00（赤、DST調整） - **色**: 透明度90で視認性確保。 --- #### **4. 使用例** - **2025年9月5日22:25 JST（13:25 UTC）**: - 米国DST適用、豪DST非適用。 - 13:25は`time2`（06:30）～`time3`（14:00）の間 → 背景色は**紫**（ロンドン）。 - **効果**: 時間帯に応じて背景色が変化し、市場セッションを直感的に把握。 --- #### **5. カスタマイズ** - 時間帯（`time1`～`time4`）や色を変更可能。 - 他の市場（例: 東京）に対応する時間帯を追加可能。 --- #### **6. 注意点** - UTC基準のため、チャート設定をUTCに。 - DSTルールは米国・オーストラリア準拠。他地域では要確認。 シンプルで視覚的な市場時間インジケーターです。
Pine Script® göstergesi
rasukaru666 tarafından
Dow Theory Indicator## 🎯 Key Features of the Indicator ### 📈 Complete Implementation of Dow Theory - Three-tier trend structure: primary trend (50 periods), secondary trend (20 periods), and minor trend (10 periods). - Swing point analysis: automatically detects critical swing highs and lows. - Trend confirmation mechanism: strict confirmation logic based on consecutive higher highs/higher lows or lower highs/lower lows. - Volume confirmation: ensures price moves are supported by trading volume. ### 🕐 Flexible Timeframe Parameters All key parameters are adjustable, making it especially suitable for U.S. equities: Trend analysis parameters: - Primary trend period: 20–200 (default 50; recommended 50–100 for U.S. stocks). - Secondary trend period: 10–100 (default 20; recommended 15–30 for U.S. stocks). - Minor trend period: 5–50 (default 10; recommended 5–15 for U.S. stocks). Dow Theory parameters: - Swing high/low lookback: 5–50 (default 10). - Trend confirmation bar count: 1–10 (default 3). - Volume confirmation period: 10–100 (default 20). ### 🇺🇸 U.S. Market Optimizations - Session awareness: distinguishes Regular Trading Hours (9:30–16:00 EST) from pre-market and after-hours. - Pre/post-market weighting: adjustable weighting factor for signals during extended hours. - Earnings season filter: automatically adjusts sensitivity during earnings periods. - U.S.-optimized default parameters. ## 🎨 Visualization 1. Trend lines: three differently colored trend lines. 2. Background fill: green (uptrend) / red (downtrend) / gray (neutral). 3. Signal markers: arrows, labels, and warning icons. 4. Swing point markers: small triangles at key turning points. 5. Info panel: real-time display of eight key metrics. ## 🚨 Alert System - Trend turning to up/down. - Strong bullish/bearish signals (dual confirmation). - Volume divergence warning. - New swing high/low formed. ## 📋 How to Use 1. Open the Pine Editor in TradingView. 2. Copy the contents of dow_theory_indicator.pine. 3. Paste and click “Add to chart.” 4. Adjust parameters based on trading style: - Long-term investing: increase all period parameters. - Swing trading: use the default parameters. - Short-term trading: decrease all period parameters. ## 💡 Parameter Tips for U.S. Stocks - Large-cap blue chips (AAPL, MSFT): primary 60–80, secondary 25–30. - Mid-cap growth stocks: primary 40–60, secondary 18–25. - Small-cap high-volatility stocks: primary 30–50, secondary 15–20.
Pine Script® göstergesi
boyue_sw tarafından
CAP - KC/AC 2.20462 Converter// ─────────────────────────────────────────────────────────────────────────────── // Purpose: Conversion Indicator for ICE “C” (KC) and “C Metric” (AC) Contracts // // Background: // - The Intercontinental Exchange (ICE) is phasing out the legacy Coffee “C” contract (symbol: KC), // which has been quoted in U.S. cents per pound, and replacing it with the new Coffee “C Metric” contract (symbol: AC), // quoted in U.S. dollars per metric ton :contentReference {index=0}. // - The final KC futures expire in March 2028; AC contracts begin trading in September 2025 and use modern specifications // including pricing per metric ton and flexible bulk delivery formats :contentReference {index=1}. // // Why this script matters: // - Traders are accustomed to the KC pricing format (¢/lb); the AC contract’s USD/MT may create confusion. // - This indicator visually converts the current chart price—whether from KC or AC contracts—directly into its equivalent unit, // helping traders quickly assess parity and compare trends across both contract types. // - It simplifies head-to-head comparison during this transition period, improving clarity on chart price behavior. // // Usage instructions: // - If the symbol starts with "KC", the script divides the price by 2.20462 to convert from ¢/lb to approximate ¢/kg. // - If the symbol starts with "AC", the script multiplies the price by 2.20462 to reverse the conversion. // - The results (converted values) are displayed in a table for immediate visual clarity. // ───────────────────────────────────────────────────────────────────────────────
Pine Script® göstergesi
calinpascual tarafından
1
Artharjan ADXArtharjan ADX (AADX) by Rrahul Desai @Artharjan 📌 Overview The Artharjan ADX (AADX) is an advanced implementation of the Average Directional Index (ADX) with customizable moving averages, momentum thresholds, and visually intuitive grading of bullish and bearish strength. Unlike the standard ADX indicator that only shows trend strength, AADX adds graded bullish/bearish conditions, alerts, smoothed DI signals, histogram visualizations, and background color fills to help traders quickly interpret market conditions. It is designed for traders who want early detection of trend strength, clean visual cues, and automated alert triggers for both bullish and bearish momentum setups. ⚙️ Key Features 🔹 Customizable Calculations DI Length (default 13) – controls sensitivity of directional indicators. +/- DI Smoothing – smooths DI signals with user-selected MA. Multiple Moving Average Types – SMA, EMA, WMA, RMA, VWMA, ALMA, Hull, SWMA, SMMA, TMA. ADX Smoothing – define how smooth/fast the ADX reacts. 🔹 Flexible Display Toggle between line plots or histogram view. Adjustable plot thickness. Option to plot averages of ADX, +DI, -DI for confirmation. Configurable background fills: ADX above/below momentum threshold. ADX rising/falling color shading. Trend-grade based color intensity. 🔹 Momentum & Thresholds Momentum Level (default 25) → defines “strong trend” zone. Crossover Threshold (default 15) → helps detect early DI crossovers. Color-coded histogram bars for +DI vs -DI difference: Above/below zero. Rising/falling momentum. 🔹 Bullish & Bearish Grading System The indicator assigns grades from 1 to 5 for both bullish and bearish setups, based on DI and ADX conditions: Bullish Grades Grade 1 → Very Weak Bullish Grade 2 → Weak Bullish Grade 3 → Moderate Bullish Grade 4 → Strong Bullish Grade 5 → Very Strong Bullish Bearish Grades Grade 1 → Very Weak Bearish Grade 2 → Weak Bearish Grade 3 → Moderate Bearish Grade 4 → Strong Bearish Grade 5 → Very Strong Bearish Labels are automatically plotted above bars to indicate the active grade. 🔹 Alerts Bullish Alert → when +DI crosses above its average below the threshold OR bullish conditions are met. Bearish Alert → when -DI crosses above its average below the threshold OR bearish conditions are met. These alerts make it possible to automate trading signals for scalping, intraday, and swing trading. 📊 Use Cases Trend Strength Measurement Spot when markets shift from range-bound to trending. Confirm the reliability of breakouts with strong ADX readings. Bullish vs Bearish Control Compare +DI vs -DI strength to gauge trend direction. Identify trend reversals early with DI slope changes. Momentum Confirmation Use ADX rising + DI grades to validate trade entries. Filter false breakouts with weak ADX. Trade Grading System Enter aggressively on Grade 4–5 signals. Stay cautious on Grade 1–2 signals. Automated Alerts & Screening Combine AADX alerts with strategy rules. Build scanners to highlight strong ADX setups across multiple stocks. 🎯 Trader’s Advantage More powerful than standard ADX → Adds slope, grading, alerts, and visualization. Adaptable to any style → Works for intraday scalping, swing trading, and positional analysis. Visual clarity → Color fills, histograms, and labels simplify decision-making. Customizable smoothing → Adjusts to fast or slow markets. ✅ Closing Note The Artharjan ADX (AADX) transforms the traditional ADX into a complete trend and momentum analyzer. It helps traders detect, confirm, and act on directional strength with clarity and confidence. With Thanks, Rrahul Desai @Artharjan
Pine Script® göstergesi
rsdesai005 tarafından
Rolling Performance Toolkit (Returns, Correlation and Sharpe)This script provides a flexible toolkit for evaluating rolling performance metrics between any asset and a benchmark. Features: Library-based: Built on a custom utilities library for consistent return and statistics calculations. Rolling Window Control: Choose the lookback period (in days) to calculate metrics. Multiple Modes: Toggle between Rolling Returns, Rolling Correlation, and Rolling Sharpe Ratio. Benchmark Comparison: Compare your selected ticker against a benchmark (default: S&P 500 / SPX), but you can easily switch to any symbol. Risk-Free Rate Options: Choose from zero, a constant annual % rate, or a proxy symbol (default: US03M – 3-Month Treasury Yield). Annualized Sharpe: Sharpe ratios are annualized by default (×√252) for intuitive interpretation. This tool is useful for traders and investors who want to monitor relative performance, diversification benefits, or risk-adjusted returns over time.
Pine Script® göstergesi
villia9 tarafından
High For Loop | MisinkoMasterThe High For Loop is a new Trend Following tool designed to give traders smooth and fast signals without being too complex, overfit or repainting. It works by finding how many bars have a higher high than the current high, how many have a lower high, and scores it based on that. This provides users with easy and accurate signals, allowing for gaining a large edge in the market. It is pretty simple but you can still play around with it pretty well and improve uppon your strategies. For any backtests using strategies, I left many comments and tried to make it as easy as possible to backtest. Enjoy G´s
Pine Script® göstergesi
MisinkoMaster tarafından
Artharjan High Volume Zones v2Artharjan High Volume Zones (AHVZ) The Artharjan High Volume Zones (AHVZ) indicator is designed to identify, highlight, and track price zones formed during exceptionally high-volume bars. These levels often act as critical support and resistance zones, revealing where institutions or large players have shown significant interest. By combining both short-term (ST) and long-term (LT) high-volume zones, the tool enables traders to align intraday activity with broader market structures. Core Purpose Markets often leave behind footprints in the form of high-volume bars. The AHVZ indicator captures these footprints and projects their influence forward, allowing traders to spot zones of liquidity, accumulation, or distribution where future price reactions are likely. Key Features 🔹 Short-Term High Volume Zones (ST-ZoI) Identifies the highest-volume bar within a short-term lookback period (default: 22 bars). Draws and maintains: Upper & Lower Bounds of the high-volume candle. Midpoint Line (M-P) as the zone’s equilibrium. Buffer Zones above and below for intraday flexibility (percentage-based). Highlights these zones visually for quick intraday decision-making. 🔹 Long-Term High Volume Zones (LT-ZoI) Scans for the highest-volume bar in a long-term lookback period (default: 252 bars). Similar plotting structure as ST-ZoI: Upper, Lower, Midpoint, and Buffers. Useful for identifying institutional footprints and multi-week/month accumulation zones. 🔹 Dynamic Buffering Daily/Weekly/Monthly charts: Adds a fixed percentage buffer above and below high-volume zones. Intraday charts: Uses price-range based buffers, scaling zones more adaptively to volatility. 🔹 Visual Customization Independent color settings for ST and LT zones, mid-range lines, and buffers. Adjustable plot thickness for clarity across different chart styles. How It Helps Intraday Traders Use ST zones to pinpoint short-term supply/demand clusters. Trade rejections or breakouts near these high-volume footprints. Swing/Positional Traders Align entries with LT zones to stay on the side of institutional flows. Spot areas where price may stall, reverse, or consolidate. General Market Structure Analysis Understand where volume-backed conviction exists in the chart. Avoid trading into hidden walls of liquidity by recognizing prior high-volume zones. Closing Note The Artharjan High Volume Zones indicator acts as a volume map of the market, giving traders a deeper sense of where meaningful battles between buyers and sellers took place. By combining short-term noise filtering with long-term structural awareness, it empowers traders to make more informed, disciplined decisions. With Thanks, Rrahul Desai @Artharjan
Pine Script® göstergesi
rsdesai005 tarafından
Clean Zone + SL/TP (Latest Only)📌 Description Clean Zone + SL/TP (Latest Only) is an indicator designed to highlight the most recent supply or demand zone based on pivot highs/lows, and automatically plot entry, stop loss, and multiple take profit levels. 🔹 Automatic Direction Detection The script can auto-detect trade direction (Long/Short) using pivot logic, or you can override manually. 🔹 Zone Drawing Only the latest valid supply (red) or demand (green) zone is displayed. Zones are extended to the right for a customizable number of bars. 🔹 Entry / SL / TP Levels Entry, Stop Loss, and TP1/TP2/TP3 levels are plotted automatically. Targets can be calculated either by zone size or by ATR-based multiples. Risk/Reward ratios are fully adjustable. 🔹 Customizable Display Toggle visibility for zones (box), entry/SL/TP lines, and price labels. Labels show only on the latest bar for a clean chart look. 🎯 Use Case This tool helps traders quickly identify the cleanest and most recent supply/demand setup and manage trades with predefined risk/reward targets. It’s especially useful for price action traders and those who prefer simple, uncluttered charts.
Pine Script® göstergesi
aaalsalti tarafından
Martingale Strategy Simulator [BackQuant]Martingale Strategy Simulator Purpose This indicator lets you study how a martingale-style position sizing rule interacts with a simple long or short trading signal. It computes an equity curve from bar-to-bar returns, adapts position size after losing streaks, caps exposure at a user limit, and summarizes risk with portfolio metrics. An optional Monte Carlo module projects possible future equity paths from your realized daily returns. What a martingale is A martingale sizing rule increases stake after losses and resets after a win. In its classical form from gambling, you double the bet after each loss so that a single win recovers all prior losses plus one unit of profit. In markets there is no fixed “even-money” payout and returns are multiplicative, so an exact recovery guarantee does not exist. The core idea is unchanged: Lose one leg → increase next position size Lose again → increase again Win → reset to the base size The expectation of your strategy still depends on the signal’s edge. Sizing does not create positive expectancy on its own. A martingale raises variance and tail risk by concentrating more capital as a losing streak develops. What it plots Equity – simulated portfolio equity including compounding Buy & Hold – equity from holding the chart symbol for context Optional helpers – last trade outcome, current streak length, current allocation fraction Optional diagnostics – daily portfolio return, rolling drawdown, metrics table Optional Monte Carlo probability cone – p5, p16, p50, p84, p95 aggregate bands Model assumptions Bar-close execution with no slippage or commissions Shorting allowed and frictionless No margin interest, borrow fees, or position limits No intrabar moves or gaps within a bar (returns are close-to-close) Sizing applies to equity fraction only and is capped by your setting All results are hypothetical and for education only. How the simulator applies it 1) Directional signal You pick a simple directional rule that produces +1 for long or −1 for short each bar. Options include 100 HMA slope, RSI above or below 50, EMA or SMA crosses, CCI and other oscillators, ATR move, BB basis, and more. The stance is evaluated bar by bar. When the stance flips, the current trade ends and the next one starts. 2) Sizing after losses and wins Position size is a fraction of equity: Initial allocation – the starting fraction, for example 0.15 means 15 percent of equity Increase after loss – multiply the next allocation by your factor after a losing leg, for example 2.00 to double Reset after win – return to the initial allocation Max allocation cap – hard ceiling to prevent runaway growth At a high level the size after k consecutive losses is alloc(k) = min( cap , base × factor^k ) . In practice the simulator changes size only when a leg ends and its PnL is known. 3) Equity update Let r_t = close_t / close_{t-1} − 1 be the symbol’s bar return, d_{t−1} ∈ {+1, −1} the prior bar stance, and a_{t−1} the prior bar allocation fraction. The simulator compounds: eq_t = eq_{t−1} × (1 + a_{t−1} × d_{t−1} × r_t) . This is bar-based and avoids intrabar lookahead. Costs, slippage, and borrowing costs are not modeled. Why traders experiment with martingale sizing Mean-reversion contexts – if the signal often snaps back after a string of losses, adding size near the tail of a move can pull the average entry closer to the turn Behavioral or microstructure edges – some rules have modest edge but frequent small whipsaws; size escalation may shorten time-to-recovery when the edge manifests Exploration and stress testing – studying the relationship between streaks, caps, and drawdowns is instructive even if you do not deploy martingale sizing live Why martingale is dangerous Martingale concentrates capital when the strategy is performing worst. The main risks are structural, not cosmetic: Loss streaks are inevitable – even with a 55 percent win rate you should expect multi-loss runs. The probability of at least one k-loss streak in N trades rises quickly with N. Size explodes geometrically – with factor 2.0 and base 10 percent, the sequence is 10, 20, 40, 80, 100 (capped) after five losses. Without a strict cap, required size becomes infeasible. No fixed payout – in gambling, one win at even odds resets PnL. In markets, there is no guaranteed bounce nor fixed profit multiple. Trends can extend and gaps can skip levels. Correlation of losses – losses cluster in trends and in volatility bursts. A martingale tends to be largest just when volatility is highest. Margin and liquidity constraints – leverage limits, margin calls, position limits, and widening spreads can force liquidation before a mean reversion occurs. Fat tails and regime shifts – assumptions of independent, Gaussian returns can understate tail risk. Structural breaks can keep the signal wrong for much longer than expected. The simulator exposes these dynamics in the equity curve, Max Drawdown, VaR and CVaR, and via Monte Carlo sketches of forward uncertainty. Interpreting losing streaks with numbers A rough intuition: if your per-trade win probability is p and loss probability is q=1−p , the chance of a specific run of k consecutive losses is q^k . Over many trades, the chance that at least one k-loss run occurs grows with the number of opportunities. As a sanity check: If p=0.55 , then q=0.45 . A 6-loss run has probability q^6 ≈ 0.008 on any six-trade window. Across hundreds of trades, a 6 to 8-loss run is not rare. If your size factor is 1.5 and your base is 10 percent, after 8 losses the requested size is 10% × 1.5^8 ≈ 25.6% . With factor 2.0 it would try to be 10% × 2^8 = 256% but your cap will stop it. The equity curve will still wear the compounded drawdown from the sequence that led to the cap. This is why the cap setting is central. It does not remove tail risk, but it prevents the sizing rule from demanding impossible positions Note: The p and q math is illustrative. In live data the win rate and distribution can drift over time, so real streaks can be longer or shorter than the simple q^k intuition suggests.. Using the simulator productively Parameter studies Start with conservative settings. Increase one element at a time and watch how the equity, Max Drawdown, and CVaR respond. Initial allocation – lower base reduces volatility and drawdowns across the board Increase factor – set modestly above 1.0 if you want the effect at all; doubling is aggressive Max cap – the most important brake; many users keep it between 20 and 50 percent Signal selection Keep sizing fixed and rotate signals to see how streak patterns differ. Trend-following signals tend to produce long wrong-way streaks in choppy ranges. Mean-reversion signals do the opposite. Martingale sizing interacts very differently with each. Diagnostics to watch Use the built-in metrics to quantify risk: Max Drawdown – worst peak-to-trough equity loss Sharpe and Sortino – volatility and downside-adjusted return VaR 95 percent and CVaR – tail risk measures from the realized distribution Alpha and Beta – relationship to your chosen benchmark If you would like to check out the original performance metrics script with multiple assets with a better explanation on all metrics please see Monte Carlo exploration When enabled, the forecast draws many synthetic paths from your realized daily returns: Choose a horizon and a number of runs Review the bands: p5 to p95 for a wide risk envelope; p16 to p84 for a narrower range; p50 as the median path Use the table to read the expected return over the horizon and the tail outcomes Remember it is a sketch based on your recent distribution, not a predictor Concrete examples Example A: Modest martingale Base 10 percent, factor 1.25, cap 40 percent, RSI>50 signal. You will see small escalations on 2 to 4 loss runs and frequent resets. The equity curve usually remains smooth unless the signal enters a prolonged wrong-way regime. Max DD may rise moderately versus fixed sizing. Example B: Aggressive martingale Base 15 percent, factor 2.0, cap 60 percent, EMA cross signal. The curve can look stellar during favorable regimes, then a single extended streak pushes allocation to the cap, and a few more losses drive deep drawdown. CVaR and Max DD jump sharply. This is a textbook case of high tail risk. Strengths Bar-by-bar, transparent computation of equity from stance and size Explicit handling of wins, losses, streaks, and caps Portable signal inputs so you can A–B test ideas quickly Risk diagnostics and forward uncertainty visualization in one place Example, Rolling Max Drawdown Limitations and important notes Martingale sizing can escalate drawdowns rapidly. The cap limits position size but not the possibility of extended adverse runs. No commissions, slippage, margin interest, borrow costs, or liquidity limits are modeled. Signals are evaluated on closes. Real execution and fills will differ. Monte Carlo assumes independent draws from your recent return distribution. Markets often have serial correlation, fat tails, and regime changes. All results are hypothetical. Use this as an educational tool, not a production risk engine. Practical tips Prefer gentle factors such as 1.1 to 1.3. Doubling is usually excessive outside of toy examples. Keep a strict cap. Many users cap between 20 and 40 percent of equity per leg. Stress test with different start dates and subperiods. Long flat or trending regimes are where martingale weaknesses appear. Compare to an anti-martingale (increase after wins, cut after losses) to understand the other side of the trade-off. If you deploy sizing live, add external guardrails such as a daily loss cut, volatility filters, and a global max drawdown stop. Settings recap Backtest start date and initial capital Initial allocation, increase-after-loss factor, max allocation cap Signal source selector Trading days per year and risk-free rate Benchmark symbol for Alpha and Beta UI toggles for equity, buy and hold, labels, metrics, PnL, and drawdown Monte Carlo controls for enable, runs, horizon, and result table Final thoughts A martingale is not a free lunch. It is a way to tilt capital allocation toward losing streaks. If the signal has a real edge and mean reversion is common, careful and capped escalation can reduce time-to-recovery. If the signal lacks edge or regimes shift, the same rule can magnify losses at the worst possible moment. This simulator makes those trade-offs visible so you can calibrate parameters, understand tail risk, and decide whether the approach belongs anywhere in your research workflow.
Pine Script® göstergesi
BackQuant tarafından
Live Market - Performance MonitorLive Market — Performance Monitor Study material (no code) — step-by-step training guide for learners ________________________________________ 1) What this tool is — short overview This indicator is a live market performance monitor designed for learning. It scans price, volume and volatility, detects order blocks and trendline events, applies filters (volume & ATR), generates trade signals (BUY/SELL), creates simple TP/SL trade management, and renders a compact dashboard summarizing market state, risk and performance metrics. Use it to learn how multi-factor signals are constructed, how Greeks-style sensitivity is replaced by volatility/ATR reasoning, and how a live dashboard helps monitor trade quality. ________________________________________ 2) Quick start — how a learner uses it (step-by-step) 1. Add the indicator to a chart (any ticker / timeframe). 2. Open inputs and review the main groups: Order Block, Trendline, Signal Filters, Display. 3. Start with defaults (OB periods ≈ 7, ATR multiplier 0.5, volume threshold 1.2) and observe the dashboard on the last bar. 4. Walk the chart back in time (use the last-bar update behavior) and watch how signals, order blocks, trendlines, and the performance counters change. 5. Run the hands-on labs below to build intuition. ________________________________________ 3) Main configurable inputs (what you can tweak) • Order Block Relevant Periods (default ~7): number of consecutive candles used to define an order block. • Min. Percent Move for Valid OB (threshold): minimum percent move required for a valid order block. • Number of OB Channels: how many past order block lines to keep visible. • Trendline Period (tl_period): pivot lookback for detecting highs/lows used to draw trendlines. • Use Wicks for Trendlines: whether pivot uses wicks or body. • Extension Bars: how far trendlines are projected forward. • Use Volume Filter + Volume Threshold Multiplier (e.g., 1.2): requires volume to be greater than multiplier × average volume. • Use ATR Filter + ATR Multiplier: require bar range > ATR × multiplier to filter noise. • Show Targets / Table settings / Colors for visualization. ________________________________________ 4) Core building blocks — what the script computes (plain language) Price & trend: • Spot / LTP: current close price. • EMA 9 / 21 / 50: fast, medium, slow moving averages to define short/medium trend. o trend_bullish: EMA9 > EMA21 > EMA50 o trend_bearish: EMA9 < EMA21 < EMA50 o trend_neutral: otherwise Volatility & noise: • ATR (14): average true range used for dynamic target and filter sizing. • dynamic_zone = ATR × atr_multiplier: minimum bar range required for meaningful move. • Annualized volatility: stdev of price changes × sqrt(252) × 100 — used to classify volatility (HIGH/MEDIUM/LOW). Momentum & oscillators: • RSI 14: overbought/oversold indicator (thresholds 70/30). • MACD: EMA(12)-EMA(26) and a 9-period signal line; histogram used for momentum direction and strength. • Momentum (ta.mom 10): raw momentum over 10 bars. Mean reversion / band context: • Bollinger Bands (20, 2σ): upper, mid, lower. o price_position measures where price sits inside the band range as 0–100. Volume metrics: • avg_volume = SMA(volume, 20) and volume_spike = volume > avg_volume × volume_threshold o volume_ratio = volume / avg_volume Support & Resistance: • support_level = lowest low over 20 bars • resistance_level = highest high over 20 bars • current_position = percent of price between support & resistance (0–100) ________________________________________ 5) Order Block detection — concept & logic What it tries to find: a bar (the base) followed by N candles in the opposite direction (a classical order block setup), with a minimum % move to qualify. The script records the high/low of the base candle, averages them, and plots those levels as OB channels. How learners should think about it (conceptual): 1. An order block is a signature area where institutions (theory) left liquidity — often seen as a large bar followed by a sequence of directional candles. 2. This indicator uses a configurable number of subsequent candles to confirm that the pattern exists. 3. When found, it stores and displays the base candle’s high/low area so students can see how price later reacts to those zones. Implementation note for learners: the tool keeps a limited history of OB lines (ob_channels). When new OBs exceed the count, the oldest lines are removed — good practice to avoid clutter. ________________________________________ 6) Trendline detection — idea & interpretation • The script finds pivot highs and lows using a symmetric lookback (tl_period and half that as right/left). • It then computes a trendline slope from successive pivots and projects the line forward (extension_bars). • Break detection: Resistance break = close crosses above the projected resistance line; Support break = close crosses below projected support. Learning tip: trendlines here are computed from pivot points and time. Watch how changing tl_period (bigger = smoother, fewer pivots) alters the trendlines and break signals. ________________________________________ 7) Signal generation & filters — step-by-step 1. Primary triggers: o Bullish trigger: order block bullish OR resistance trendline break. o Bearish trigger: bearish order block OR support trendline break. 2. Filters applied (both must pass unless disabled): o Volume filter: volume must be > avg_volume × volume_threshold. o ATR filter: bar range (high-low) must exceed ATR × atr_multiplier. o Not in an existing trade: new trades only start if trade_active is false. 3. Trend confirmation: o The primary trigger is only confirmed if trend is bullish/neutral for buys or bearish/neutral for sells (EMA alignment). 4. Result: o When confirmed, a long or short trade is activated with TP/SL calculated from ATR multiples. ________________________________________ 8) Trade management — what the tool does after a signal • Entry management: the script marks a trade as trade_active and sets long_trade or short_trade flags. • TP & SL rules: o Long: TP = high + 2×ATR ; SL = low − 1×ATR o Short: TP = low − 2×ATR ; SL = high + 1×ATR • Monitoring & exit: o A trade closes when price reaches TP or SL. o When TP/SL hit, the indicator updates win_count and total_pnl using a very simple calculation (difference between TP/SL and previous close). o Visual lines/labels are drawn for TP and updated as the trade runs. Important learner notes: • The script does not store a true entry price (it uses close in its P&L math), so PnL is an approximation — treat this as a learning proxy, not a position accounting system. • There’s no sizing, slippage, or fee accounted — students must manually factor these when translating to real trades. • This indicator is not a backtesting strategy; strategy.* functions would be needed for rigorous backtest results. ________________________________________ 9) Signal strength & helper utilities • Signal strength is a composite score (0–100) made up of four signals worth 25 points each: 1. RSI extreme (overbought/oversold) → 25 2. Volume spike → 25 3. MACD histogram magnitude increasing → 25 4. Trend existence (bull or bear) → 25 • Progress bars (text glyphs) are used to visually show RSI and signal strength on the table. Learning point: composite scoring is a way to combine orthogonal signals — study how changing weights changes outcomes. ________________________________________ 10) Dashboard — how to read each section (walkthrough) The dashboard is split into sections; here's how to interpret them: 1. Market Overview o LTP / Change%: immediate price & daily % change. 2. RSI & MACD o RSI value plus progress bar (overbought 70 / oversold 30). o MACD histogram sign indicates bullish/bearish momentum. 3. Volume Analysis o Volume ratio (current / average) and whether there’s a spike. 4. Order Block Status o Buy OB / Sell OB: the average base price of detected order blocks or “No Signal.” 5. Signal Status o 🔼 BUY or 🔽 SELL if confirmed, or ⚪ WAIT. o No-trade vs Active indicator summarizing market readiness. 6. Trend Analysis o Trend direction (from EMAs), market sentiment score (composite), volatility level and band/position metrics. 7. Performance o Win Rate = wins / signals (percentage) o Total PnL = cumulative PnL (approximate) o Bull / Bear Volume = accumulated volumes attributable to signals 8. Support & Resistance o 20-bar highest/lowest — use as nearby reference points. 9. Risk & R:R o Risk Level from ATR/price as a percent. o R:R Ratio computed from TP/SL if a trade is active. 10. Signal Strength & Active Trade Status • Numeric strength + progress bar and whether a trade is currently active with TP/SL display. ________________________________________ 11) Alerts — what will notify you The indicator includes pre-built alert triggers for: • Bullish confirmed signal • Bearish confirmed signal • TP hit (long/short) • SL hit (long/short) • No-trade zone • High signal strength (score > 75%) Training use: enable alerts during a replay session to be notified when the indicator would have signalled. ________________________________________ 12) Labs — hands-on exercises for learners (step-by-step) Lab A — Order Block recognition 1. Pick a 15–30 minute timeframe on a liquid ticker. 2. Use default OB periods (7). Mark each time the dashboard shows a Buy/Sell OB. 3. Manually inspect the chart at the base candle and the following sequence — draw the OB zone by hand and watch later price reactions to it. 4. Repeat with OB periods 5 and 10; note stability vs noise. Lab B — Trendline break confirmation 1. Increase trendline period (e.g., 20), watch trendlines form from pivots. 2. When a resistance break is flagged, compare with MACD & volume: was momentum aligned? 3. Note false breaks vs confirmed moves — change extension_bars to see projection effects. Lab C — Filter sensitivity 1. Toggle Use Volume Filter off, and record the number and quality of signals in a 2-day window. 2. Re-enable volume filter and change threshold from 1.2 → 1.6; note how many low-quality signals are filtered out. Lab D — Trade management simulation 1. For each signalled trade, record the time, close entry approximation, TP, SL, and eventual hit/miss. 2. Compute actual PnL if you had entered at the open of the next bar to compare with the script’s PnL math. 3. Tabulate win rate and average R:R. Lab E — Performance review & improvement 1. Build a spreadsheet of signals over 30–90 periods with columns: Date, Signal type, Entry price (real), TP, SL, Exit, PnL, Notes. 2. Analyze which filters or indicators contributed most to winners vs losers and adjust weights. ________________________________________ 13) Common pitfalls, assumptions & implementation notes (things to watch) • P&L simplification: total_pnl uses close as a proxy entry price. Real entry/exit prices and slippage are not recorded — so PnL is approximate. • No position sizing or money management: the script doesn’t compute position size from equity or risk percent. • Signal confirmation logic: composite "signal_strength" is a simple 4×25 point scheme — explore different weights or additional signals. • Order block detection nuance: the script defines the base candle and checks the subsequent sequence. Be sure to verify whether the intended candle direction (base being bullish vs bearish) aligns with academic/your trading definition — read the code carefully and test. • Trendline slope over time: slope is computed using timestamps; small differences may make lines sensitive on very short timeframes — using bar_index differences is usually more stable. • Not a true backtester: to evaluate performance statistically you must transform the logic into a strategy script that places hypothetical orders and records exact entry/exit prices. ________________________________________ 14) Suggested improvements for advanced learners • Record true entry price & timestamp for accurate PnL. • Add position sizing: risk % per trade using SL distance and account size. • Convert to strategy. (Pine Strategy)* to run formal backtests with equity curves, drawdowns, and metrics (Sharpe, Sortino). • Log trades to an external spreadsheet (via alerts + webhook) for offline analysis. • Add statistics: average win/loss, expectancy, max drawdown. • Add additional filters: news time blackout, market session filters, multi-timeframe confirmation. • Improve OB detection: combine wick/body, volume spike at base bar, and liquidity sweep detection. ________________________________________ 15) Glossary — quick definitions • ATR (Average True Range): measure of typical range; used to size targets and stops. • EMA (Exponential Moving Average): trend smoothing giving more weight to recent prices. • RSI (Relative Strength Index): momentum oscillator; >70 overbought, <30 oversold. • MACD: momentum oscillator using difference of two EMAs. • Bollinger Bands: volatility bands around SMA. • Order Block: a base candle area with subsequent confirmation candles; a zone of institutional interest (learning model). • Pivot High/Low: local turning point defined by candles on both sides. • Signal Strength: combined score from multiple indicators. • Win Rate: proportion of signals that hit TP vs total signals. • R:R (Risk:Reward): ratio of potential reward (TP distance) to risk (entry to SL). ________________________________________ 16) Limitations & assumptions (be explicit) • This is an indicator for learning — not a trading robot or broker connection. • No slippage, fees, commissions or tie-in to real orders are considered. • The logic is heuristic (rule-of-thumb), not a guarantee of performance. • Results are sensitive to timeframe, market liquidity, and parameter choices. ________________________________________ 17) Practical classroom / study plan (4 sessions) • Session 1 — Foundations: Understand EMAs, ATR, RSI, MACD, Bollinger Bands. Run the indicator and watch how these numbers change on a single day. • Session 2 — Zones & Filters: Study order blocks and trendlines. Test volume & ATR filters and note changes in false signals. • Session 3 — Simulated trading: Manually track 20 signals, compute real PnL and compare to the dashboard. • Session 4 — Improvement plan: Propose changes (e.g., better PnL accounting, alternative OB rule) and test their impact. ________________________________________ 18) Quick reference checklist for each signal 1. Was an order block or trendline break detected? (primary trigger) 2. Did volume meet threshold? (filter) 3. Did ATR filter (bar size) show a real move? (filter) 4. Was trend aligned (EMA 9/21/50)? (confirmation) 5. Signal confirmed → mark entry approximation, TP, SL. 6. Monitor dashboard (Signal Strength, Volatility, No-trade zone, R:R). 7. After exit, log real entry/exit, compute actual PnL, update spreadsheet. ________________________________________ 19) Educational caveat & final note This tool is built for training and analysis: it helps you see how common technical building blocks combine into trade ideas, but it is not a trading recommendation. Use it to develop judgment, to test hypotheses, and to design robust systems with proper backtesting and risk control before risking capital. ________________________________________ 20) Disclaimer (must include) Training & Educational Only — This material and the indicator are provided for educational purposes only. Nothing here is investment advice or a solicitation to buy or sell financial instruments. Past simulated or historical performance does not predict future results. Always perform full backtesting and risk management, and consider seeking advice from a qualified financial professional before trading with real capital. ________________________________________
Pine Script® göstergesi
aiTrendview-Charting-System tarafından
BTC Macro Composite Global liquidity Index -OffsetThis indicator is based on the thesis that Bitcoin price movements are heavily influenced by macro liquidity trends. It calculates a weighted composite index based on the following components: • Global Liquidity (41%): Sum of central bank balance sheets (Fed , ECB , BoJ , and PBoC ), adjusted to USD. • Investor Risk Appetite (22%): Derived from the Copper/Gold ratio, inverse VIX (as a risk-on signal), and the spread between High Yield and Investment Grade bonds (HY vs IG OAS). • Gold Sensitivity (15–20%): Combines the XAUUSD price with BTC/Gold ratio to reflect the historical influence of gold on Bitcoin pricing. Each component is normalized and then offset forward by 90 days to attempt predictive alignment with Bitcoin’s price. The goal is to identify macro inflection points with high predictive value for BTC. It is not a trading signal generator but rather a macro trend context indicator. ❗ Important: This script should be used with caution. It does not account for geopolitical shocks, regulatory events, or internal BTC market structure (e.g., miner behavior, on-chain metrics). 💡 How to use: • Use on the 1D timeframe. • Look for divergences between BTC price and the macro index. • Apply in confluence with other technical or fundamental frameworks. 🔍 Originality: While similar components exist in macro dashboards, this script combines them uniquely using time-forward offsets and custom weighting specifically tailored for BTC behavior.
Pine Script® göstergesi
electronicRhin4023 tarafından
BTC(Sats Stacking) - CDC Action zone filterType: Indicator (Pine v6) • Category: Strategy Tools / DCA • Overlay: Yes Overview This indicator simulates fixed-amount Bitcoin DCA (dollar-cost averaging) and lets you apply a CDC Action Zone filter to only buy in specific market conditions. It plots EMA(12/26) lines with a shaded zone (green when fast > slow, red when slow > fast), shows buy markers on the chart when a DCA event actually executes, and displays a concise performance table. The simulation tracks real invested capital (sum of your buys), not hypothetical equity injections, and reports PnL vs invested capital. Key features DCA frequency: Everyday, Every week, or Every month CDC filter: Buy on all days, only when CDC is Green (trend-up above fast EMA), or only when Red (trend-down below fast EMA) Execution price: Choose to buy at bar close or next bar open Capital controls: Fixed DCA amount per event, optional max budget cap Currency support: Portfolio currency label plus optional FX conversion (by symbol or manual rate) Chart visuals: Buy markers on candles; EMA(12/26) lines with shaded “action zone” Metrics table: Invested capital, buys executed, BTC accumulated, average price per BTC (quote), equity (portfolio), PnL% vs invested, and CAGR How it works CDC state: Green = EMA(fast) > EMA(slow) and price ≥ EMA(fast) Red = EMA(fast) < EMA(slow) and price < EMA(fast) DCA trigger: Fires on new day/week/month boundaries (timeframe-agnostic). Buy execution: When a DCA event occurs and passes the CDC filter and budget check, the script spends the fixed amount and adds the corresponding BTC at the chosen execution price. Inputs (highlights) Simulation Symbol (blank = current chart), Buy at close/open, DCA amount, Max total invested DCA Schedule Everyday / Every week / Every month CDC Action Zone Filter mode (All / Green only / Red only), Price source, Fast/Slow EMA lengths (defaults 12/26) Currency / Conversion Portfolio currency label, Convert on/off, By symbol (e.g., OANDA:USDTHB) or Manual rate Backtest Range Optional start/end dates Style Show EMA lines and zone, colors and opacities, buy marker size and color Display Show qty/price labels on buys, show metrics table, number formatting Metrics Invested capital: Sum of all DCA spends in your portfolio currency Equity (portfolio): BTC holdings marked to market and converted back if FX is enabled PnL % vs invested: (Equity / Invested - 1) × 100 CAGR: Based on elapsed time from first in-range bar to the latest bar Average price per BTC (quote): Spend in quote currency divided by BTC accumulated Notes This is an indicator, not a broker-connected strategy. It simulates buys and displays results without placing orders. For more realistic fills, use Buy at next bar open. If your portfolio currency differs from the symbol’s quote currency, enable Convert and supply a conversion symbol or manual rate. EMA shading is purely visual; the filter logic uses the same EMA definitions. Attribution & License Inspired by the DCA idea and community simulations; CDC filtering implemented with standard EMA(12/26) logic. License: MPL-2.0 (see code header). Author: MiSuNoJo Disclaimer This tool is for research and education only and is not financial advice. Past performance does not guarantee future results. Use at your own risk.
Pine Script® göstergesi
MiSuNoJo tarafından