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Relative Estimated Price REP by KIVANÇ fr3762Relative Estimated Price (REP) Indicator shows the estimated price calculated if the tickerid made the same value changes (in %) during a certain period. The default value of the lookback period is 50. In the given XRPUSD chart you can see that XRPUSD has a value of 0.26480 and the RPC indicator shows the value of 0.38099. This means that XRP would be 0.38099USD if it was fully made the same percentage moves with BTC , we can say that XRP is RELATIVELY cheap according to BTC price moves. Conversely XRP would be RELATIVELY expensive if the last value of REP was lower then current XRP price. users can choose the relative base price in calculation of REP between 1-5 which are: 1=BTCUSD, 2=ETHUSD, 3=EURTRY(Euro/Turkish Lira), 4=USDTRY (Dollar/Turkish Lira), 5=BIST100 (Istanbul Stock Exchange) I personally advise you to use this indicator for daily charts in Tradingview to have more accurate estimated prices because of the website's calculation. Developed by KIVANÇ
Penunjuk Pine Script®
oleh KivancOzbilgic
7
[NG] Indicator - Altcoin Alpha - v1(Created for Client) Alpha (Unique price action of asset) indicator for ALTcoins implementation, taking `BINANCE:BTCUSDT` as the market reference. Can be improved by adding more BTC charts from more sources, so as to get a unified chart of BTC for market representation. Set `alpha period` to a value, wherein you want to see the unique price action of the asset. For short term trend, a value of 24 is good for `1H` charts (1 day), and value of 168 is good for long term trends on `1H` charts (1 week trend). Corresponding values of `beta period` should be `168` (1 week for 1 day alpha) and `720` (1 month for 1 week alpha period). You can set `alpha` and `beta` period as per your requirements. Regards,
Penunjuk Pine Script®
oleh NikhilGuptab4
Noro's Trend MAs Strategy v1.8Trade strategy which uses only 2 MA. The slow MA (blue) is used for definition of a trend The fast MA (red) is used for an entrance to the transaction For: - For H1 - For crypto/fiat or crypto/crypto - Good for "BTC/USD", "ETH/USD", "ETH/BTC" Recomended: Long = true (if it is profitable as a result of backtests) Short = true (if it is profitable as a result of backtests) Stops = false Stop, % = any OHLC4 = any Use Fast MA = true Fast MA Period = 5 Slow MA Period = 21 Bars Q = (2 for "bitcoin/fiat" or 1 for "crypto/fiat" or 0 for "crypto/crypto") In the new version 1.8 - The second PriceChannel is added - Profit became more - Losses became less - The unnecessary types of MA are removed
Strategi Pine Script®
oleh ROBO_Trading
Bitcoin momentum correlation This is a pretty simple indicator, it measures the momentum of bitcoin as compared to usd,eur,eth,dash, and ltc, which you can see in all of the blue lines. If the red line is above zero then it means the overall value of btc is going up, opposite for down. The Ema_window controls how smooth the signal is. If you shorten the Ema_window parameter and open this on higher timeframe btc charts then the zero crossing gives pretty solid signals, despite being pretty choppy. A good way to interpret this is that if all the blue lines are moving in the same direction at once without disagreement, then the value of bitcoin has good momentum. Mildly more technically: Momentum is measured in the first derivative of an EMA for each ticker. To normalize the different values against each other they are all divided by their local maximums, which can be chosen in the parameter window, but shouldn't make a huge difference. All the checked values are then summed, as shown in the red line. To include a value into the red line simply keep it checked. Take a look at the script, it's kind of easy on the eyes. It's pretty handy to look at, but doesn't seem too worthwhile to pursue much further. If someone wants much more out of the script then feel free to message me. Remember rules #1 & #2 Don't lose money. Happy trading
Penunjuk Pine Script®
oleh mcbw_
3
Volume Conversion IndicatorVolume Conversion Indicator The volume conversion indicator is much like the in-built volume indicator. This particular volume indicator allows you to find out how much of something has been traded in a given timeframe. This is done by multiplying volume by the average price at that point. What does this mean? Well, say, for example, you were watching DGB/BTC (DigiByte/Bitcoin). Instead of the volume being displayed in the amount of DGB traded, the amount of BTC traded is displayed instead. Feel free to comment... Hope this helps :D
Penunjuk Pine Script®
oleh SquishyPea
Indicator: Schaff Trend Cycle (STC)Another new indicator for TV community :) STC detects up and down trends long before the MACD. It does this by using the same exponential moving averages (EMAs), but adds a cycle component to factor instrument cycle trends. STC gives more accuracy and reliability than the MACD. More info: www.investopedia.com Feel free to "Make mine" this chart and use the indicator in your charts. Appreciate any feedback on how effective this is for your instrument (I have tested this only with BTC). For people trading BTC: ------------------------------- Try 3/10 or 9/30 for MACD (fastLength/slowLength). They seem to catch the cycles better than the defaults. :)
Penunjuk Pine Script®
oleh LazyBear
33
Liquidity Index with Advanced Statistical NormalizationLiquidity Index with Advanced Statistical Normalization An open-source TradingView indicator for analyzing global liquidity cycles using robust statistical methods Overview This Pine Script indicator combines multiple macroeconomic data sources to construct a composite liquidity index that tracks global financial conditions. It employs advanced statistical techniques typically found in quantitative finance research, adapted for real-time charting. Key Features 📊 Multi-Source Data Integration - Federal Reserve Components: Fed Funds Rate, Reverse Repo (RRP), Treasury General Account (TGA) - PBOC Components: China M2 Money Stock adjusted by CNY/USD exchange rate - Volatility Index: MOVE Index (bond market volatility) 🔬 Advanced Statistical Methods 1. Theil-Sen Estimator: Robust trend detection resistant to outliers 2. Triple Normalization: - Z-score normalization - MAD (Median Absolute Deviation) normalization - Quantile normalization via inverse normal CDF 3. Multi-Timeframe Analysis: Short (8-bar) and long (34-bar) windows with blended composite 📈 Signal Processing - Log-transformation for non-linear relationships - Smoothing via customizable SMA - Composite signal averaging across normalization methods Why This Approach? Traditional liquidity indicators often suffer from: - Sensitivity to outliers in economic data - Assumption of normal distributions - Single-timeframe bias This script addresses these issues by: - Using median-based robust statistics (Theil-Sen, MAD) - Applying multiple normalization techniques - Blending short and long-term perspectives Customization Options short_length // Short window (default: 8) long_length // Long window (default: 34) show_short // Display short composite show_long // Display long composite show_blended // Display blended signal smoothing_length // SMA smoothing period (default: 10) How to Use 1. Liquidity Expansion (positive values): Risk-on environment, favorable for asset prices 2. Liquidity Contraction (negative values): Risk-off environment, potential market stress 3. Divergences: Compare indicator direction vs. price action for early warnings Potential Improvements Community members are encouraged to enhance: - Additional data sources (ECB balance sheet, BOJ operations, etc.) - Alternative normalization methods (robust scaling, rank transformation) - Machine learning integration (LSTM forecasting, regime detection) - Alert conditions for liquidity inflection points - Volatility-adjusted weighting schemes Technical Notes - Uses request.security() for multi-symbol data fetching - All calculations handle missing data via nz() functions - Median-based statistics computed via array operations - Custom inverse CDF approximation (no external libraries required) Contributing This is a foundation for liquidity analysis. Potential extensions: - LLM Integration: Use language models to parse Fed/PBOC meeting minutes and adjust weights dynamically - Sentiment Layer: Incorporate crypto funding rates or options skew - Adaptive Parameters: Auto-tune window lengths based on market regime - Cross-Asset Validation: Backtest signals against BTC, equities, bonds --- License: Open source - modify and redistribute freelyDisclaimer: For educational purposes only. Not financial advice.
Penunjuk Pine Script®
oleh ai4profitinvestments
High Volume Arrow Signals (Ajustável)The High Volume Arrow Signals (Adjustable) indicator is a professional technical analysis tool designed to clearly pinpoint moments when trading volume significantly exceeds its recent average, signaling potential institutional pressure, strong conviction, or market exhaustion. Its primary function is to overlay confirmation signals directly onto the price bars without altering the original candle colors. Strategic Application This indicator is most effective when used as a confluence tool to confirm moves initiated by price action or other indicators: Breakout Confirmation: An arrow plotted during a price range breakout suggests the move has genuine volume conviction. Reversal Identification: A Buy arrow appearing at a key support level (or a Sell arrow at resistance) indicates strong volume rejection and a potential turning point. The adjustable multiplier ensures users can fine-tune the indicator to the specific volatility and volume characteristics of assets like BTC and ETH across different timeframes.
Penunjuk Pine Script®
oleh IdeManson
Jensen Alpha RS🧠 Jensen Alpha RS (J-Alpha RS) Jensen Alpha RS is a quantitative performance evaluation tool designed to compare multiple assets against a benchmark using Jensen’s Alpha — a classic risk-adjusted return metric from modern portfolio theory. It helps identify which assets have outperformed their benchmark on a risk-adjusted basis and ranks them in real time, with optional gating and visual tools. 📊 ✨ Key Features • 🧩 Multi-Asset Comparison: Evaluate up to four assets simultaneously. • 🔀 Adaptive Benchmarking: TOTALES mode uses CRYPTOCAP:TOTALES (total crypto market cap ex-stablecoins). Dynamic mode automatically selects the strongest benchmark among BTC, ETH, and TOTALES based on rolling momentum. • 📐 Jensen’s Alpha Calculation: Uses rolling covariance, variance, and beta to estimate α, showing how much each asset outperformed its benchmark. • 📈 Z-Score & Consistency Metrics: Z-Score highlights statistical deviations in alpha; Consistency % shows how often α has been positive over a chosen window. • 🚦 Trend & Zero Gates: Optional filters that require assets to be above EMA (trend) and/or have α > 0 for confirmation. • 🏆 Leaders Board Table: Displays α, Z, Rank, Consistency %, and Gate ✓/✗ for all assets in a clear visual layout. • 🔔 Dynamic Alerts: Get notified whenever the top alpha leader changes on confirmed (non-repainting) data. • 🎨 Visual Enhancements: Smooth α with an SMA or color bars by the current top-performing asset. 🧭 Typical Use Cases • 🔄 Portfolio Rotation & Relative Strength: Identify which assets consistently outperform their benchmark to optimize capital allocation. • 🧮 Alpha Persistence Analysis: Gauge whether a trend’s performance advantage is statistically sustainable. • 🌐 Market Regime Insight: Observe how asset leadership rotates as benchmarks shift across market cycles. ⚙️ Inputs Overview • 📝 Assets (1–4): Select up to four tickers for evaluation. • 🧭 Benchmark Mode: Choose between static TOTALES or Dynamic auto-selection. • 📏 Alpha Settings: Adjustable lookback, smoothing, and consistency windows. • 🚦 Gates: Optional trend and alpha filters to refine results. • 🖥️ Display: Enable/disable table and customize colors. • 🔔 Alerts: Toggle notifications on leadership changes. 🔎 Formula Basis Jensen’s Alpha (α) is estimated as: α = E − β × E where β = Cov(Ra, Rb) / Var(Rb), and Ra/Rb represent asset and benchmark returns, respectively. A positive α indicates outperformance relative to the risk-adjusted benchmark expectation. ✅ ⚠️ Disclaimer This script is for educational and analytical purposes only. It is NOT a signal. 🚫📉 It does not constitute financial advice, trading signals, or investment recommendations. 💬 The author is not responsible for any financial losses or trading decisions made based on this indicator. 🙏 Always perform your own analysis and use proper risk management. 🛡️
Penunjuk Pine Script®
oleh AriSai_TRW
QUANTUM MOMENTUMOverview Quantum Momentum is a sophisticated technical analysis tool designed to help traders identify relative strength between assets through advanced momentum comparison. This cyberpunk-themed indicator visualizes momentum dynamics between your current trading symbol and any comparison asset of your choice, making it ideal for pairs trading, crypto correlation analysis, and multi-asset portfolio management. Key Features 📊 Multi-Asset Momentum Comparison Dual Symbol Analysis: Compare momentum between your chart symbol and any other tradable asset Real-Time Tracking: Monitor relative momentum strength as market conditions evolve Difference Visualization: Clear histogram display showing which asset has stronger momentum 🎯 Multiple Momentum Calculation Methods Choose from four different momentum calculation types: ROC (Rate of Change): Traditional percentage-based momentum measurement RSI (Relative Strength Index): Oscillator-based momentum from 0-100 range Percent Change: Simple percentage change over the lookback period Raw Change: Absolute price change in native currency units 📈 Advanced Trend Filtering System Enable optional trend filters to align momentum signals with prevailing market direction: SMA (Simple Moving Average): Classic trend identification EMA (Exponential Moving Average): Responsive trend detection Price Action: Identifies trends through higher highs/lows or lower highs/lows patterns ADX (Average Directional Index): Measures trend strength with customizable threshold 🎨 Futuristic Cyberpunk Design Neon Color Scheme: Eye-catching cyan, magenta, and matrix green color palette Glowing Visual Effects: Enhanced visibility with luminescent plot lines Dynamic Background Shading: Subtle trend state visualization Real-Time Data Table: Sleek information panel displaying current momentum values and trend status How It Works The indicator calculates momentum for both your current chart symbol and a comparison symbol (default: BTC/USDT) using your selected method and lookback period. The difference between these momentum values reveals which asset is exhibiting stronger momentum at any given time. Positive Difference (Green): Your chart symbol has stronger momentum than the comparison asset Negative Difference (Pink/Red): The comparison asset has stronger momentum than your chart symbol When the trend filter is enabled, the indicator will only display signals that align with the detected market trend, helping filter out counter-trend noise. Settings Guide Symbol Settings Compare Symbol: Choose any tradable asset to compare against (e.g., major indices, cryptocurrencies, forex pairs) Momentum Settings Momentum Length: Lookback period for momentum calculations (default: 14 bars) Momentum Type: Select your preferred momentum calculation method Display Options Toggle visibility of current symbol momentum line Toggle visibility of comparison symbol momentum line Toggle visibility of momentum difference histogram Optional zero line reference Trend Filter Settings Use Trend Filter: Enable/disable trend-based signal filtering Trend Method: Choose from SMA, EMA, Price Action, or ADX Trend Length: Period for trend calculations (default: 50) ADX Threshold: Minimum ADX value to confirm trend strength (default: 25) Best Use Cases ✅ Pairs Trading: Identify divergences in momentum between correlated assets ✅ Crypto Market Analysis: Compare altcoin momentum against Bitcoin or Ethereum ✅ Stock Market Rotation: Track sector or index relative strength ✅ Forex Strength Analysis: Monitor currency pair momentum relationships ✅ Multi-Timeframe Confirmation: Use alongside other indicators for confluence ✅ Mean Reversion Strategies: Spot extreme momentum divergences for potential reversals Visual Indicators ⚡ Cyan Line: Your chart symbol's momentum ⚡ Magenta Line: Comparison symbol's momentum 📊 Green/Pink Histogram: Momentum difference (positive = green, negative = pink) ▲ Green Triangle: Bullish trend detected (when filter enabled) ▼ Red Triangle: Bearish trend detected (when filter enabled) ◈ Yellow Diamond: Neutral/sideways trend (when filter enabled) Pro Tips 💡 Look for crossovers between the momentum lines as potential trade signals 💡 Combine with volume analysis for stronger confirmation 💡 Use momentum divergence (price making new highs/lows while momentum doesn't) for reversal signals 💡 Enable trend filter during ranging markets to reduce false signals 💡 Experiment with different momentum types to find what works best for your trading style Technical Requirements TradingView Pine Script Version: v6 Chart Type: Works on all chart types Indicator Placement: Separate pane (overlay=false) Data Requirements: Needs access to comparison symbol data
Penunjuk Pine Script®
oleh AlgoCollective
1
Fury by Tetrad Fury by Tetrad What it is: A rules-based Bollinger+RSI strategy that fades extremes: it looks for price stretching beyond Bollinger Bands while RSI confirms exhaustion, enters countertrend, then exits at predefined profit multipliers or optional stoploss. “Ultra Glow” visuals are purely cosmetic. How it works — logic at a glance Framework: Classic Bollinger Bands (SMA basis; configurable length & multiplier) + RSI (configurable length). Long entries: Price closes below the lower band and RSI < Long RSI threshold (default 28.3) → open LONG (subject to your “Market Direction” setting). Short entries: Price closes above the upper band and RSI > Short RSI threshold (default 88.4) → open SHORT. Profit exits (price targets): Uses simple multipliers of the strategy’s average entry price: Long exit = `entry × Long Exit Multiplier` (default 1.14). Short exit = `entry × Short Exit Multiplier` (default 0.915). Risk controls: Optional pricebased stoploss (disabled by default) via: Long stop = `entry × Long Stop Factor` (default 0.73). Short stop = `entry × Short Stop Factor` (default 1.05). Directional filter: “Market Direction” input lets you constrain entries to Market Neutral, Long Only, or Short Only. Visuals: “Ultra Glow” draws thin layered bands around upper/basis/lower; these do not affect signals. > Note: Inputs exist for a timebased stop tracker in code, but this version exits via targets and (optional) price stop only. Why it’s different / original Explicit extreme + momentum pairing: Entries require simultaneous band breach and RSI exhaustion, aiming to avoid entries on gardenvariety volatility pokes. Deterministic exits: Multiplier-based targets keep results auditable and reproducible across datasets and assets. Minimal, unobtrusive visuals: Thin, layered glow preserves chart readability while communicating regime around the Bollinger structure. Inputs you can tune Bollinger: Length (default 205), Multiplier (default 2.2). RSI: Length (default 23), Long/Short thresholds (28.3 / 88.4). Targets: Long Exit Mult (1.14), Short Exit Mult (0.915). Stops (optional): Enable/disable; Long/Short Stop Factors (0.73 / 1.05). Market Direction: Market Neutral / Long Only / Short Only. Visuals: Ultra Glow on/off, light bar tint, trade labels on/off. How to use it 1. Timeframe & assets: Works on any symbol/timeframe; start with liquid majors and 60m–1D to establish baseline behavior, then adapt. 2. Calibrate thresholds: Narrow/meanreverting markets often tolerate tighter RSI thresholds. Fast/volatile markets may need wider RSI thresholds and stronger stop factors. 3. Pick realistic targets: The default multipliers are illustrative; tune them to reflect typical mean reversion distance for your instrument/timeframe (e.g., ATRinformed profiling). 4. Risk: If enabling stops, size positions so risk per trade ≤ 1–2% of equity (max 5–10% is a commonly cited upper bound). 5. Mode: Use Long Only or Short Only when your discretionary bias or higher timeframe model favors one side; otherwise Market Neutral. Recommended publication properties (for backtests that don’t mislead) When you publish, set your strategy’s Properties to realistic values and keep them consistent with this description: Initial capital: 10,000 (typical retail baseline). Commission: ≥ 0.05% (adjust for your venue). Slippage: ≥ 2–3 ticks (or a conservative pertrade value). Position sizing: Avoid risking > 5–10% equity per trade; fixedfractional sizing ≤ 10% or fixedcash sizing is recommended. Dataset / sample size: Prefer symbols/timeframes yielding 100+ trades over the tested period for statistical relevance. If you deviate, say why. > If you choose different defaults (e.g., capital, commission, slippage, sizing), explain and justify them here, and use the same settings in your publication. Interpreting results & limitations This is a countertrend approach; it can struggle in strong trends where band breaches compound. Parameter sensitivity is real: thresholds and multipliers materially change trade frequency and expectancy. No predictive claims: Past performance is not indicative of future results. The future is unknowable; treat outputs as decision support, not guarantees. Suggested validation workflow Try different assets. (TSLA, AAPL, BTC, SOL, XRP) Run a walkforward across multiple years and market regimes. Test several timeframes and multiple instruments. (30m Suggested) Compare different commission/slippage assumptions. Inspect distribution of returns, max drawdown, win/loss expectancy, and exposure. Confirm behavior during trend vs. range segments. Alerts & automation This release focuses on chart execution and visualization. If you plan to automate, create alerts at your entry/exit conditions and ensure your broker/venue fills reflect your slippage/fees assumptions. Disclaimer This script is provided for educational and research purposes. It is not investment advice. Trading involves risk, including the possible loss of principal. © Tetrad Protocol.
Strategi Pine Script®
oleh TetradProtocol
1
Order Flow RSI — Price / CVD / OIOrder Flow RSI blends three powerful market perspectives — Price , Cumulative Volume Delta (CVD) , and Open Interest (OI) — into one unified RSI-style oscillator. It reveals momentum and imbalance across these data streams and highlights situations where participation, liquidity, and positioning disagree — moments that often precede reversals. What it does The indicator converts: Price → RSI (classic momentum), CVD → RSI (buy/sell pressure balance), OI → RSI (position expansion/contraction) …then plots all three RSIs together on the same 0–100 scale. A fourth Consensus RSI (average of any two or all three) can optionally be shown to simplify the view. Core logic CVD engine – based on TradingView’s native volume-delta request. Modes: Continuous (default, smooth line), Anchored (resets each session), Rolling window. Open Interest – pulled automatically from the symbol’s “_OI” feed; aligns to chart timeframe for real-time flow. RSI calculation – standard RSI applied to each data stream, optionally smoothed (SMA / EMA / RMA / WMA / VWMA). Signals – optional background highlights when: All three RSIs are overbought (red) or oversold (green), or Any pair show opposite extremes (e.g., price overbought + OI oversold). Consensus RSI – arithmetic mean of the selected RSIs, summarizing overall market tone. Inputs overview CVD settings: anchor period, lower-TF delta, mode, rolling length RSI lengths: separate for price, CVD, OI Smoothing: type + period applied to all RSIs at once Consensus: choose which RSIs to average Signals: enable/disable each combination; optional alerts Levels: adjustable OB/MID/OS (default 70 / 50 / 30) Visuals: fill between active RSIs, background highlights, level lines, colors in Style tab How to read it All 3 overbought (red): broad exhaustion → possible correction All 3 oversold (green): broad depletion → possible bounce Opposite pairs: divergence between price and participation Price↑ but OI↓ (red) → weak rally, fading participation Price↓ but CVD↑ (green) → hidden accumulation Combine with structure and volume profile for confirmation. Notes Works best on assets with full CVD + OI data (futures, BTC, etc.). Use Continuous CVD for smooth RSI, Anchored for session analysis. Smoothing 2–5 EMA is a good starting point to reduce noise. All styling (colors, line types, thickness) is adjustable in the Style tab. Limitations & caveats CVD requires accurate tick/volume/delta data from your data feed. Performance may differ across instruments. OI availability varies by exchange / symbol. Where OI is absent, pairwise OI signals are not evaluated. This indicator is a tool — it generates signals of interest, not guaranteed profitable trades. Backtest and combine with your risk rules. Smoothing introduces lag; longer smoothing reduces noise but delays signals. Order Flow RSI bridges traditional momentum analysis and order-flow context — giving a multi-dimensional view of when markets are truly stretched or quietly reloading. Sometimes it works, sometimes it doesn't.
Penunjuk Pine Script®
oleh exploretranspose
ALMASTO – Pro Trend & Momentum (v1.1)ALMASTO — Pro Trend & Momentum Strategy Description: This strategy is designed for precision trading in both Forex (FX) and Crypto markets. It combines multi-timeframe trend confirmation (EMA200), momentum filters (RSI, MACD, ADX), and ATR-based dynamic risk management. ALMASTO — Pro Trend & Momentum Strategy automatically manages take-profit levels, stop-loss, and breakeven adjustments once TP1 is reached — providing a structured and emotion-free trading approach. Optimal Use Works best on lower timeframes (5m–15m) with strong liquidity sessions. Optimized for pairs like EURUSD, XAUUSD, and BTCUSDT. Built for trend-following setups and momentum reversals with high volatility confirmation. Recommended Settings 🔹 Forex – 5m EMA Fast = 34, EMA Slow = 200, HTF = 1H RSI (14): Long ≥ 55 / Short ≤ 45 MACD (8 / 21 / 5), ADX Len 10 / Min 27 ATR Len 7, Stop Loss = ATR × 2.1 TP1 = 1.1 RR, TP2 = 2.3 RR Session = 07:00–11:00 & 12:30–16:00 (Exchange Time) Risk = 0.8% per trade 🔹 Forex – 15m EMA Fast = 50, EMA Slow = 200, HTF = 4H RSI (14): Long ≥ 53 / Short ≤ 47 MACD (12 / 26 / 9), ADX Min 24 ATR Len 10, SL = ATR × 1.9 TP1 = 1.2 RR, TP2 = 2.6 RR Risk = 1.0% per trade 🔹 Crypto – 5m (BTC/USDT) EMA Fast = 34, EMA Slow = 200, HTF = 4H RSI (14): Long ≥ 56 / Short ≤ 44 MACD (8 / 21 / 5), ADX Min 30 ATR Len 7, SL = ATR × 2.2 TP1 = 1.0 RR, TP2 = 2.5 RR Session = 00:00–06:00 & 12:00–22:00 (UTC) Risk = 0.5% per trade Core Features ✅ Auto breakeven after TP1 ✅ Dual take-profit system (1:1 & 1:2 RR) ✅ ATR-based stop & trailing logic ✅ Filters for session time, volume, and volatility ✅ Candle-body vs ATR size filter to avoid noise ✅ Optional cooldown between trades Important Notes Use bar close confirmation only (barstate.isconfirmed) to avoid repainting on lower timeframes. Adjust commission (0.01–0.03%) and slippage (1–2 ticks) in Strategy Tester for realistic results. Avoid low-liquidity hours (after 21:00 UTC for FX / after midnight for crypto). Backtest using realistic broker data (e.g., BlackBull Markets / Bybit / Binance Futures). Best results occur during London & New York sessions with moderate volatility. ⚠️ Disclaimer This script is for educational and research purposes only. It does not constitute financial advice. Use proper risk management and test thoroughly before using on live accounts. Developed by KING FX Labs Built and optimized by Yousef Almasto — combining advanced price-action logic, multi-timeframe EMA structure, and volatility-adaptive ATR management. Tested across Forex, Gold, and Crypto markets to ensure consistent performance and minimal drawdown. 📈 “Precision Trading. Zero Emotion. Pure Momentum.”
Strategi Pine Script®
oleh ALMASTO-TRADING-SYSTEM
Overleverage Short Screener Alert Overleverage Short Screener Alert Guide (inspired by a posting "an on-chain trader nicknamed "Calm Order King" has reportedly made over $10 million in porfit this month - mainly by shorting BTC and SOL at precise reversal points", this script tries to guess his work. 🎯 Purpose of the Script The script aims to identify potential **shorting opportunities** in derivatives markets (Perpetual Futures). It looks for a setup often associated with a "long squeeze" or "blow-off top" by checking three criteria simultaneously: **High Excitement**, **Liquidity Buildup**, and the start of a **Price Dip**. *** ### 🛠️ Customize Inputs (Settings) Access the indicator's settings window to adjust the following values: Funding Rate Threshold (%):** Controls the required bar momentum (proxy for excitement). *Adjust between 0.01 and 0.05.* OI MA Period:** Sets the lookback period for the Open Interest/Volume trend. *Use 7 to 14.* OI Spike % Above MA:** Defines how far above its trend the Volume/OI must be to signal high liquidity buildup. *Try 20.0 to 50.0.* Price Drop % From X-Period High:** Sets the minimum percentage drop required from the recent high to confirm the setup. *Use 3.0 to 7.0.* High Timeframe:** The period used to calculate the "recent high." *Use '7D' (7 Days) or '1D' (1 Day).* *** 🔔 Reading the Signal and Setting Alerts Visual Signal (Short\_Alert):** A **red triangle down** will appear at the top of the indicator pane when all three conditions are met. The background will also turn light red. Signal Confirmation:** * The **FR Proxy % (Blue Line)** must be **above** its blue threshold line. * The **OI Spike % (Orange Line)** must be **above** its orange threshold line. * The **Price Drop % (Fuchsia Line)** must be **below** its fuchsia threshold line. Setting Alerts:** 1. Click the **"Alert"** button (bell icon) on the chart. 2. Set the **Condition** to the indicator's name: **"Overleverage Short Screener Alert 3. Set the specific condition to: **"Overleverage Short Alert"**. 4. The default alert message includes the current percentage values for all three factors for quick review.
Penunjuk Pine Script®
oleh hushedDiamond97573
1m Scalping ATR (with SL & Zones)A universal ATR indicator that anchors volatility to your stop-loss. Read any market (FX, JPY pairs, Gold/Silver, indices, crypto) consistently—regardless of pip/point conventions and timeframe. Why this indicator? Classic ATR is absolute (pips/points) and feels different across markets/TFs. ATR Takeoff normalizes ATR to your stop-loss in pips and highlights clear zones for “quiet / ideal / too volatile,” so you instantly know if a 10-pip SL fits current conditions. Key features Auto pip detection (FX, JPY, XAU/XAG, indices, BTC/ETH). Selectable ATR source: chart timeframe or fixed ATR TF (e.g., “15”, “30”, “60”). Display modes: Percent of SL – ATR relative to SL in %, great for M1 (typical 10–30%). Multiple of SL – ATR as a multiple of SL (e.g., 0.6× / 1.0× / 1.2×). Panel zones: Green = “Ready for takeoff” (≤ Low), Yellow = reference (Mid), Red = too volatile (≥ High). Status badge (top-right): Quiet / ATR ok / Wild, current ATR/SL value, ATR TF used. Direction-agnostic: Works the same for longs and shorts. Inputs (at a glance) Length / Smoothing (RMA/SMA/EMA/WMA): ATR base settings. Your Stop-Loss (Pips): Reference SL (e.g., 10). ATR Timeframe (empty = chart): Use chart TF or a fixed TF. Display Mode: “Percent of SL” or “Multiple of SL.” Low/Mid/High (Percent Mode): Zone thresholds in % of SL. Low/Mid/High (Multiple Mode): Zone thresholds in ×SL. Recommended defaults Length 14, Smoothing RMA, SL 10 pips Display Mode: Percent of SL Low/Mid/High (%): 15 / 20 / 25 ATR Timeframe: empty (= chart) for reactive, or “30” for smoother M30 context with M1 entries. How to use Set SL (pips). 2) Choose display mode. 3) Optionally pick ATR TF. Interpretation: ≤ Low (green): setups allowed. ≈ Mid (yellow): neutral reference. ≥ High (red): too volatile → adjust SL/size or wait. Note: Auto-pip relies on common ticker naming; verify on exotic symbols. Disclaimer: For research/education. Not financial advice.
Penunjuk Pine Script®
oleh Patrik_Kreuzweger
2
Institutional Activity DetectorInstitutional Activity Detector - Complete Tutorial Table of Contents Installation Understanding the Indicator Signal Interpretation Settings Configuration Trading Strategies Best Practices Common Mistakes to Avoid 1. Installation {#installation} Step-by-Step Setup: Step 1: Access TradingView Go to TradingView.com Log in to your account (free account works fine) Step 2: Open Pine Editor Click on "Pine Editor" at the bottom of the chart If you don't see it, go to the top menu and select "Pine Editor" Step 3: Add the Script Click "New" to create a new indicator Delete any default code Copy the entire Institutional Activity Detector code Paste it into the editor Step 4: Save and Apply Click "Save" (give it a name like "Inst Detector") Click "Add to Chart" The indicator will now appear on your chart 2. Understanding the Indicator {#understanding} What It Detects: This indicator identifies institutional traders (banks, hedge funds, market makers) by analyzing: Volume Analysis Detects unusual volume spikes that indicate large players entering Compares current volume to 20-period average Institutional trades create volume 2-5x normal levels Order Flow Delta: Difference between buying and selling volume Positive delta = More buying pressure Negative delta = More selling pressure Institutions leave "footprints" in order flow Price Action Patterns Bullish Rejection Wicks: | <- Small upper wick | ███ <- Small body ███ | | | <- Large lower wick (rejection) Indicates institutions bought aggressively at lower prices Bearish Rejection Wicks: | | | <- Large upper wick (rejection) | ███ <- Small body ███ | <- Small lower wick Indicates institutions sold aggressively at higher prices Liquidity Grabs Institutions often: Push price above resistance or below support Trigger stop losses (grab liquidity) Reverse direction and trade the other way Dark Pool Activity Large block trades executed off-exchange: High volume with minimal price movement Indicates institutional accumulation/distribution without moving price 3. Signal Interpretation {#signals} Signal Types: 🟢 INSTITUTIONAL BUY Signal Appears as green triangle below candle with strength number (2-5) What it means: Institutions are actively accumulating (buying) Higher strength = More confirmation factors Strength Levels: 2-3: Moderate confidence - Wait for confirmation 4: High confidence - Strong institutional interest 5: Maximum confidence - Multiple factors aligned 🔴 INSTITUTIONAL SELL Signal Appears as red triangle above candle with strength number (2-5) What it means: Institutions are actively distributing (selling) Higher strength = More confirmation factors 🟠 Dark Pool (DP) Marker Small orange diamond What it means: Large block trade executed Accumulation/distribution happening quietly Often precedes significant moves Liquidity Zones Red boxes above price = Resistance/sell liquidity Green boxes below price = Support/buy liquidity Institutions target these zones to trigger stops 4. Settings Configuration {#settings} Recommended Settings by Asset Type: For Stocks (SPY, AAPL, TSLA): Volume Spike Multiplier: 2.0 Volume Average Period: 20 Delta Threshold: 70% Minimum Signal Strength: 3 Timeframe: 5m, 15m, 1H For Forex (EUR/USD, GBP/USD): Volume Spike Multiplier: 1.5 Volume Average Period: 30 Delta Threshold: 65% Minimum Signal Strength: 3 Timeframe: 15m, 1H, 4H For Crypto (BTC, ETH): Volume Spike Multiplier: 2.5 Volume Average Period: 20 Delta Threshold: 70% Minimum Signal Strength: 4 Timeframe: 15m, 1H, 4H For Futures (ES, NQ): Volume Spike Multiplier: 2.0 Volume Average Period: 20 Delta Threshold: 75% Minimum Signal Strength: 3 Timeframe: 5m, 15m, 30m Parameter Explanations: Volume Spike Multiplier (1.0 - 10.0) Lower = More sensitive (more signals, some false) Higher = Less sensitive (fewer signals, more reliable) Start with 2.0 and adjust based on your asset's volatility Delta Threshold % (50 - 100) Measures buying vs selling pressure 70% = Strong institutional bias required Lower for ranging markets, higher for trending Minimum Signal Strength (2 - 5) Number of factors that must align for a signal 2 = Very sensitive (many signals) 5 = Very conservative (rare signals) Recommended: 3-4 for balance 5. Trading Strategies {#strategies} Strategy 1: Liquidity Grab Reversal Setup: Price approaches a liquidity zone (green/red box) Price penetrates the zone briefly Institutional BUY/SELL signal appears Price reverses away from the zone Entry: Enter on the signal candle close Or wait for next candle confirmation Stop Loss: Below the liquidity grab low (for buys) Above the liquidity grab high (for sells) Take Profit: 2:1 or 3:1 risk/reward ratio Or next opposing liquidity zone Example: Price drops below support → Triggers stops → Institutional BUY signal (4-5 strength) → Enter LONG → Price rallies Strategy 2: Trend Continuation Setup: Identify the trend (higher highs/higher lows for uptrend) Wait for pullback to support in uptrend Institutional BUY signal appears during pullback Confirms institutions are adding to positions Entry: Enter on signal with strength ≥ 4 Or next candle after signal Stop Loss: Below the pullback low + small buffer Take Profit: Previous swing high Or trailing stop using ATR Strategy 3: Dark Pool Accumulation Setup: Dark Pool (DP) markers appear multiple times Price consolidates in tight range Institutional BUY signal with high strength appears Breakout occurs Entry: Enter on breakout candle after signal Or on retest of breakout level Stop Loss: Below consolidation range Take Profit: Measured move (height of consolidation projected) Strategy 4: Divergence Play Setup: Price makes lower low MFI/RSI makes higher low (bullish divergence) Institutional BUY signal appears Volume confirms with spike Entry: Enter on signal candle or next Stop Loss: Below the divergence low Take Profit: Previous swing high or resistance 6. Best Practices {#best-practices} ✅ DO's: 1. Use Multiple Timeframes Check higher timeframe for trend direction Trade signals that align with higher timeframe Example: 15m signals in direction of 1H trend 2. Combine with Key Levels Support/resistance Supply/demand zones Previous day high/low Round numbers (psychological levels) 3. Wait for Confirmation Don't rush into trades Let the signal candle close Watch next candle for follow-through 4. Check the Metrics Table Look at Relative Volume (should be >2.0) Check Delta % (should be strong positive/negative) Verify Order Flow aligns with signal 5. Consider Market Context News events can override signals Low liquidity times (lunch, overnight) less reliable Major economic releases need caution 6. Paper Trade First Test the indicator for 2-4 weeks Learn how it behaves on your chosen assets Develop confidence before using real money Best Times to Trade: Stock Market Hours: 9:30-11:30 AM EST (high volume, strong moves) 2:00-4:00 PM EST (institutional positioning) Avoid: 11:30 AM-2:00 PM (lunch, low volume) Forex: London Open: 3:00-6:00 AM EST New York Open: 8:00-11:00 AM EST London/NY Overlap: 8:00 AM-12:00 PM EST Crypto: 24/7 market, but highest volume during US/European hours Watch for weekend low liquidity 7. Common Mistakes to Avoid {#mistakes} ❌ DON'T: 1. Trade Every Signal Not all signals are equal Focus on strength 4-5 signals Wait for optimal setups 2. Ignore Market Structure Don't buy into strong downtrends (catch falling knife) Don't sell into strong uptrends (fight the tape) Respect major support/resistance 3. Use Too Small Timeframes 1m and 2m charts are too noisy Minimum recommended: 5m for scalping Better: 15m, 30m, 1H for reliability 4. Overtrade Quality over quantity 2-5 good trades per day is excellent Forcing trades leads to losses 5. Ignore Risk Management Always use stop losses Risk only 1-2% per trade Don't revenge trade after losses 6. Trade During Low Volume Signals less reliable with low volume Check Relative Volume metric (should be >1.5) Avoid pre-market/after-hours for stocks 7. Misread Liquidity Grabs Not every wick is a liquidity grab Need volume confirmation Must have institutional signal Advanced Tips: Filtering False Signals: Use Signal Strength Filter: Minimum strength 3 = Balanced Minimum strength 4 = Conservative (recommended) Minimum strength 5 = Ultra conservative Confluence Checklist: Signal strength ≥ 4 Relative volume > 2.0 At key support/resistance Aligns with higher timeframe trend Delta % strongly positive/negative Clean price action setup If 4+ boxes checked = High probability trade Setting Up Alerts: Click the three dots on the indicator Select "Create Alert" Choose condition: "Institutional Buy Signal" "Institutional Sell Signal" "Dark Pool Activity" Set up notification (email, SMS, app) Save alert Alert Strategy: Set minimum strength to 4 for fewer, better alerts Use for assets you can't watch constantly Don't rely solely on alerts - check chart context Practice Exercise: Week 1-2: Observation Add indicator to your favorite assets Watch how signals develop Note which ones lead to profitable moves Don't trade yet - just observe Week 3-4: Paper Trading Use TradingView's paper trading Trade only strength 4-5 signals Record results in a journal Note: entry, exit, profit/loss, what worked/didn't Week 5+: Small Live Positions Start with smallest position size Trade only your best setups Gradually increase size as you gain confidence Keep detailed journal Quick Reference Card: Signal Quality Ranking: 🔥 Best Setups (Take These): Strength 5 + Liquidity grab + Key level Strength 4-5 + Volume >3.0 + Trend alignment Dark Pool markers + Strength 4+ signal ✅ Good Setups: Strength 4 at support/resistance Strength 3-4 with strong delta Liquidity grab + Strength 3+ ⚠️ Caution (Wait for More): Strength 2-3 in middle of nowhere Against higher timeframe trend Low volume (Rel Vol <1.5) ❌ Avoid: Strength 2 only During major news Low liquidity hours Against strong trend Troubleshooting: "Too many signals" → Increase Minimum Signal Strength to 4 → Increase Volume Spike Multiplier to 2.5-3.0 "Too few signals" → Decrease Minimum Signal Strength to 2-3 → Decrease Volume Spike Multiplier to 1.5 "Signals not working" → Check if you're trading during low volume hours → Verify you're using recommended timeframes → Make sure signals align with market structure "Can't see liquidity zones" → Enable "Show Liquidity Zones" in settings → Adjust Swing Detection Length (try 7-15) Resources for Further Learning: Concepts to Study: Order Flow Trading Market Profile / Volume Profile Smart Money Concepts (SMC) Liquidity Sweeps and Stop Hunts Institutional Order Flow Wyckoff Method Volume Spread Analysis (VSA) Recommended Practice: Study past signals on chart Replay market using TradingView's bar replay feature Join trading communities to share setups Keep a detailed trading journal Final Thoughts: This indicator is a tool, not a crystal ball. It identifies high-probability setups where institutions are active, but still requires: Proper risk management Market context understanding Patience and discipline Continuous learning Success Formula: Right Tool + Proper Training + Risk Management + Discipline = Consistent Profits Start slow, master the basics, and gradually increase complexity as you gain experience. Good luck and trade smart! 📊📈
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