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QST RSI - Directional Entry Strict📌 Quantum Swing Trading – RSI The RSI Zones – Directional Entry Strict indicator is designed to highlight high-probability buy and sell opportunities by focusing on strict RSI entry conditions within predefined trading zones. 🔎 How it works: Calculates the Relative Strength Index (RSI) over a customizable period (default: 14). Defines Buy Zone between RSI 35–40 and Sell Zone between RSI 60–65 (user adjustable). Plots shaded green boxes whenever RSI enters the Buy Zone from above, signaling a potential oversold bounce. Plots shaded red boxes whenever RSI enters the Sell Zone from below, signaling a potential overbought rejection. Each box dynamically extends as long as RSI stays within the respective zone, giving a clear visual region of opportunity. A neutral midline (50) is plotted to help confirm momentum bias. ✅ Key Features: Clear visual zones for directional entries. Strict entry condition avoids false signals (RSI must enter from the opposite side). Adjustable thresholds to adapt to different markets or strategies. Works across Forex, Stocks, Crypto, and Indices. ⚡ How traders use it: Buy setups when price enters the green RSI zone and aligns with bullish structure/support. Sell setups when price enters the red RSI zone and aligns with bearish structure/resistance. Combine with trend filters (EMA, VWAP, Market Structure) for higher accuracy. 🔒 Exclusive Access: This indicator is not free and is available only to members who value premium tools. If you’re ready to level up your trading with institutional precision, this is your edge. Send me a direct message here on TradingView or via our Discord community: discord.gg
Penunjuk Pine Script®
oleh mhrahman4u
Perfect Buy Entry Point Checklist (M15) V4 Of course. Here is a detailed script description you can use to publish your indicator on TradingView. You can copy and paste this directly into the "Describe your script..." box. The description is formatted to be clear, professional, and easy for other traders to understand. Script Title Perfect Buy Entry Point Checklist (M15) Script Description (You can copy everything below this line) Overview This indicator is a comprehensive toolkit designed to identify high-probability buy setups based on Smart Money Concepts (SMC). It was specifically built for lower timeframes like the 15-minute (M15) chart to help traders align their entries with institutional order flow. The core of this script is a real-time, on-chart checklist that validates five key criteria before signaling a potential entry. The goal is to move beyond single-indicator signals and provide a more confluent, rules-based approach to trading. Key Features Real-Time Checklist Dashboard: An intuitive panel in the corner of your chart shows the status (✅ / ❌) of each rule, so you can see a setup forming in real-time. Automatic Zone Detection: The indicator automatically identifies and plots Bullish Order Blocks (OB) and Fair Value Gaps (FVG), highlighting key areas of interest. Clear "BUY" Signals: A clear "BUY" label appears below the price bar only when all five checklist conditions are met simultaneously. Integrated Risk/Reward Planner: When a valid signal appears, the script automatically plots a hypothetical Entry Line, Stop Loss, and Take Profit based on your customizable R/R ratio (defaulting to 1:2.5). Higher Timeframe Trend Filter: Includes an optional "Daily Focus" filter that uses a Daily EMA to ensure your M15 entries are aligned with the broader market trend. How It Works: The 5-Point Checklist The script will only generate a "BUY" signal if all of the following conditions are true: 1. 🔹 Liquidity Was Swept The script first checks if the price has recently dipped below a key swing low or equal lows, only to quickly reverse. This is often a sign that institutional players have "swept" retail stop losses before pushing the price higher. 2. 🔹 Price Tapped a Strong Bullish Zone After the sweep, the price must react from a significant smart money zone. The script confirms if the price has touched a pre-identified Bullish Order Block or filled a nearby Fair Value Gap (FVG). 3. 🔹 Momentum Confirmed the Reversal A price reversal needs momentum behind it. This condition is met if there is a bullish confirmation from one of the following: MACD bullish crossover or histogram turning positive. RSI bouncing up from the 30-40 oversold area. A strong bullish candle pattern, such as a Bullish Engulfing. 4. 🔹 Price Broke Market Structure (BoS/ChoCh) To confirm that buyers are in control, the script looks for a Break of Structure (BoS) or a Change of Character (ChoCh). This occurs when the price breaks above a recent minor swing high, signaling a shift from bearish to bullish momentum. 5. 🔹 Risk/Reward is Favorable (Visual Tool) While not a condition for the signal, this is a crucial part of the tool. Once a signal is confirmed, the script places a Stop Loss just below the liquidity sweep low and projects a Take Profit target based on your desired Risk/Reward ratio. How to Use Apply to an M15 Chart: This script is optimized for the 15-minute timeframe but can be tested on others. Monitor the Dashboard: Watch the checklist panel in the top-right corner. A potential setup is forming as more conditions turn green (✅). Wait for the Signal: Do not enter a trade until the official "BUY" label appears below a candle. This confirms all rules have been met. Manage Your Trade: Use the automatically plotted R/R lines as a guide for setting your Stop Loss and Take Profit levels. Always adjust based on your own analysis and risk management rules.
Penunjuk Pine Script®
oleh FXCHANCHAV
AI Gold Liquidity Breakout CatcherTitle: Gold AI Liquidity Breakout Catcher Description: Indicator Philosophy and Originality: This indicator is not merely a collection of separate tools, but an integrated trading framework designed to improve decision-making by ensuring signal confluence. The core philosophy is that high-probability trading signals occur when multiple, distinct analysis methodologies align. The originality of this script lies in how it systematically combines a leading signal (the Liquidity Breakout) with multiple, independent lagging confirmation tools (the Classic Filters, the Hull MA, and the Range Filter). A user can see a primary breakout signal and immediately validate its strength against the broader trend defined by the Hull MA, the intermediate trend from the Range Filter, and the specific conditions of the classic filters. This synergy, where different components work together to validate a single event, is the primary value and reason for this mashup. It provides a structured, multi-layered confirmation process within a single tool, which is not achievable by adding these indicators separately to the chart. This indicator is a comprehensive technical analysis tool designed to identify potential trading opportunities and provide supplemental trend analysis. It features a primary signal engine based on pivot trendline breakouts, a sophisticated confirmation layer using classic technical indicators, and three separate modules for discretionary analysis: an ICT-based structure plotter, a highly customizable Hull Moving Average (HMA), and a volatility-adaptive Range Filter. This document provides a detailed, transparent explanation of all underlying logic. 1. Core Engine: Pivot-Based Liquidity Trendline Signals The indicator's foundational signal is generated from a custom method we call "Liquidity Trendlines," which aims to identify potential shifts in momentum. How It Works: The script first identifies significant swing points in the price using ta.pivothigh() and ta.pivotlow(). It then draws a trendline connecting consecutive pivot points. A "Liquidity Breakout" signal (liquidity_plup for buy, liquidity_pldn for sell) is generated when the price closes decisively across this trendline, forming the basis for a potential trade. 2. The Signal Confirmation Process: Multi-Layered Filtering System A raw Liquidity Breakout signal is only a starting point. To enhance reliability, the signal must pass through a series of user-enabled filters. A final Buy or Sell signal is only plotted if all active filter conditions are met simultaneously. General & Smart Trend Filters: Use a combination of EMAs, DMI (ADX), and market structure to define the trend. RSI & MACD Filters: Used for momentum confirmation. Directional Body Strength Filter: A custom filter that validates the signal based on the strength and direction of the signal candle's body (bodyUpOK / bodyDownOK). Support & Resistance (S&R) Filter: Blocks signals forming too close to key S&R zones. Higher Timeframe (HTF) Filter: Provides confluence by checking the trend on higher timeframes. 3. Visual Aid 1: ICT-Based Structure & Premium/Discount Zones This module is for visual and discretionary analysis only and does not directly influence the automated Buy/Sell signals. ICT Market Structure: Plots labels for CHoCH, SMS, and BMS based on a Donchian-channel-like logic. ICT Premium & Discount Zones: When enabled, it draws colored zones corresponding to Premium, Discount, and Equilibrium levels. 4. Visual Aid 2: Hull Moving Average (HMA) Integration This is another independent tool for trend analysis. It does not affect the primary signals but has its own alerts and serves as a powerful visual confirmation layer. Functionality: Includes multiple Hull variations (HMA, THMA, EHMA), customizable colors based on trend, and the ability to pull data from a higher timeframe. 5. Visual Aid 3: Range Filter Integration This module is a volatility-adaptive trend filter that provides its own set of signals and visuals. It is designed to be a standalone trend analysis tool integrated within the indicator for additional confluence. How It Works: The Range Filter calculates a dynamic volatility threshold based on the average range of the price. A central filter line moves up or down only when the price exceeds this threshold, effectively filtering out market noise. Visuals: It plots the central filter line and upper/lower bands that create a volatility channel. It can also color the price bars based on the trend. Signals & Alerts: The Range Filter generates its own "Manual Buy" and "Manual Sell" signals when the price crosses the filter line after a change in trend direction. These signals have their own dedicated alerts. 6. Risk Management & Additional Features TP/SL Calculations: Automatically calculates Take Profit and Stop Loss levels for the primary signals based on the ATR. Multi-Timeframe (MTF) Scanner: A dashboard that monitors the final Buy/Sell signal status across multiple timeframes. Session Filter & Alerts: Allows for restricting trades to specific market sessions and configuring alerts for any valid signal. By combining breakout detection with a rigorous confirmation process and multiple supplemental analysis tools, this indicator provides a structured and transparent approach to trading.
Penunjuk Pine Script®
oleh shadyshaban
1
Transfer Function Filter [theUltimator5]The Transfer Function Filter is an engineering style approach to transform the price action on a chart into a frequency, then filter out unwanted signals using Butterworth-style filter approach. This indicator allows you to analyze market structure by isolating or removing different frequency components of price movement—similar to how engineers filter signals in control systems and electrical circuits. 🔎 Features Four Filter Types 1) Low Pass Filter – Smooths price data, highlighting long-term trends while filtering out short-term noise. This filter acts similar to an EMA, removing noisy signals, resulting in a smooth curve that follows the price of the stock relative to the filter cutoff settings. Real world application for low pass filter - Used in power supplies to provide a clean, stable power level. 2) High Pass Filter – Removes slow-moving trends to emphasize short-term volatility and rapid fluctuations. The high pass filter removes the "DC" level of the chart, removing the average price moves and only outputting volatility. Real world application for high pass filter - Used in audio equalizers to remove low-frequency noise (like rumble) while allowing higher frequencies to pass through, improving sound clarity. 3) Band Pass Filter – Allows signals to plot only within a band of bar ranges. This filter removes the low pass "DC" level and the high pass "high frequency noise spikes" and shows a signal that is effectively a smoothed volatility curve. This acts like a moving average for volatility. Real world application for band pass filter - Radio stations only allow certain frequency bands so you can change your radio channel by switching which frequency band your filter is set to. 4) Band Stop Filter – Suppresses specific frequency bands (cycles between two cutoffs). This filter allows through the base price moving average, but keeps the high frequency volatility spikes. It allows you to filter out specific time interval price action. Real world application for band stop filter - If there is prominent frequency signal in the area which can cause unnecessary noise in your system, a band stop filter can cancel out just that frequency so you get everything else Configurable Parameters • Cutoff Periods – Define the cycle lengths (in bars) to filter. This is a bit counter-intuitive with the numbering since the higher the bar count on the low-pass filter, the lower the frequency cutoff is. The opposite holds true for the high pass filter. • Filter Order – Adjust steepness and responsiveness (higher order = sharper filtering, but with more delay). • Overlay Option – Display Low Pass & Band Stop outputs directly on the price chart, or in a separate pane. This is enabled by default, plotting the filters that mimic moving averages directly onto the chart. • Source Selection – Apply filters to close, open, high, low, or custom sources. Histograms for Comparison • BS–LP Histogram – Shows distance between Band Stop and Low Pass filters. • BP–HP Histogram – Highlights differences between Band Pass and High Pass filters. Histograms give the visualization of a pseudo-MACD style indicator Visual & Informational Aids • Customizable colors for each filter line. • Optional zero-line for histogram reference. • On-chart info table summarizing active filters, cutoff settings, histograms, and filter order. 📊 Use Cases Trend Detection – Use the Low Pass filter to smooth noise and follow underlying market direction. Volatility & Cycle Analysis – Apply High Pass or Band Pass to capture shorter-term patterns. Noise Suppression – Deploy Band Stop to remove specific choppy frequencies. Momentum Insight – Watch the histograms to spot divergences and relative filter strength.
Penunjuk Pine Script®
oleh TheUltimator5
Nasdaq Sentiment DashboardBuilds a composite sentiment state — RISK-ON / NEUTRAL / RISK-OFF — using three legs: Volatility: CBOE VXN vs its moving average and absolute thresholds (risk-on when low & below MA; risk-off when high & above MA). Breadth (quality of participation): QQEW/QQQ ratio vs its MA (equal-weight beating cap-weight = healthier breadth). Advance/Decline (intraday breadth): advdec.nq vs its MA, with a magnitude filter (ignores tiny A/D days). How it works Pulls each series on your chosen signal timeframe (default Daily). Creates binary signals per leg: Vol: volOn if VXN < MA and < vxnLower; volOff if VXN > MA and > vxnUpper. Breadth: brOn if QQEW/QQQ is above its MA by a deadband; brOff if below. A/D: adOn if A/D > MA and above adMin; adOff if below MA and < -adMin. Scores each leg (+1 on, −1 off, 0 neutral) → sums to −3…+3. State rule (default): RISK-ON if score ≥ +2, RISK-OFF if ≤ −2, else NEUTRAL (i.e., need 2 of 3 to agree). Detects flips (changes in state) and provides alert conditions that fire only on the flip bar. What you see Lines for VXN & MA, QQEW/QQQ & MA, A/D & MA. Background color shows current composite state. Triangle markers on the flip bar (up for ON, down for OFF). A top-right table summarizing state, each leg vs its MA, and the composite score. How to tune Vol thresholds: vxnLower / vxnUpper. Breadth whipsaw control: deadbandBps around the ratio’s MA. A/D sensitivity: adMin and adMaLen. Stricter regime: require all 3 to agree by changing the state line to score == 3 / -3.
Penunjuk Pine Script®
oleh NH_JM90
BTC Power Law Valuation BandsBTC Power Law Rainbow A long-term valuation framework for Bitcoin based on Power Law growth — designed to help identify macro accumulation and distribution zones, aligned with long-term investor behavior. 🔍 What Is a Power Law? A Power Law is a mathematical relationship where one quantity varies as a power of another. In this model: Price ≈ a × (Time)^b It captures the non-linear, exponentially slowing growth of Bitcoin over time. Rather than using linear or cyclical models, this approach aligns with how complex systems, such as networks or monetary adoption curves, often grow — rapidly at first, and then more slowly, but persistently. 🧠 Why Power Law for BTC? Bitcoin: Has finite supply and increasing adoption. Operates as a monetary network , where Metcalfe’s Law and power laws naturally emerge. Exhibits exponential growth over logarithmic time when viewed on a log-log chart . This makes it uniquely well-suited for power law modeling. 🌈 How to Use the Valuation Bands The central white line represents the modeled fair value according to the power law. Colored bands represent deviations from the model in logarithmic space, acting as macro zones: 🔵 Lower Bands: Deep value / Accumulation zones. 🟡 Mid Bands: Fair value. 🔴 Upper Bands: Euphoria / Risk of macro tops. 📐 Smart Money Concepts (SMC) Alignment Accumulation: Occurs when price consolidates near lower bands — often aligning with institutional positioning. Markup: As price re-enters or ascends the bands, we often see breakout behavior and trend expansion. Distribution: When price extends above upper bands, potential for exit liquidity creation and distribution events. Reversion: Historically, price mean-reverts toward the model — rarely staying outside the bands for long. This makes the model useful for: Cycle timing Long-term DCA strategy zones Identifying value dislocations Filtering short-term noise ⚠️ Disclaimer This tool is for educational and informational purposes only . It is not financial advice. The power law model is a non-predictive, mathematical framework and does not guarantee future price movements . Always use additional tools, risk management, and your own judgment before making trading or investment decisions.
Penunjuk Pine Script®
oleh RWCS_LTD
Lanzadera)The Lanzadera Indicator is designed to identify market momentum and potential breakout opportunities. It works as a dynamic tool that helps traders detect price acceleration zones, providing clear signals for possible entries and exits. With customizable settings and a user-friendly design, this indicator is suitable for both beginners and experienced traders. Use it to: Spot momentum shifts before major price movements. Enhance your breakout trading strategies. Gain a clearer view of market dynamics with visual alerts. This indicator is built for traders who want precision, discipline, and a professional edge in their decision-making process.
Penunjuk Pine Script®
oleh THEGREATNAPLESTRADERX
True Opens - (SpeculatorBryan)Overview This indicator provides a complete framework of key institutional levels by plotting the "True Open" price for the Month, Week, Day, and Intraday Sessions. Instead of using standard chart opens, it uses specific, globally significant times (based in the NY timezone) to identify levels that price action traders watch closely for support, resistance, and market direction. What It Does True Monthly Open (TMO): The key macro level, marking the start of the month's trading. True Weekly Open (TWO): Arguably the most important level, defining the weekly bias. Based on the Sunday evening start of the forex trading week. True Daily Open (TDO): The New York midnight open, marking the true start of the institutional 24-hour cycle. True Session Opens (TSO): Key intraday opens (e.g., London, NY) for finding entries and exits on lower timeframes. Key Features Clean Forward Projection: All lines and labels project into the future, so you always see the levels in your current price action. Full Styling Control: Customize the color, style (solid, dashed, dotted), and text for every level to match your chart theme. Intelligent Display: Levels automatically show on appropriate timeframes to keep your chart clutter-free. Use the "Stacked Opens" feature to override this. Lightweight & Efficient: Optimized to run smoothly without lagging your chart. How to Use It Look for price to react at these levels. A bounce can signal a continuation, while a clean break and retest can signal a change in market structure. Use the higher-timeframe opens (TMO, TWO) as major anchors for your overall bias and the lower-timeframe opens (TDO, TSO) for fine-tuning your entries and exits.
Penunjuk Pine Script®
oleh SpeculatorBryan
Macro Times by OutOfOptionsThis indicator highlights macro times on the chart and provides visual and system alerts before a macro begins. Unlike other macro indicators, this one supports unlimited macro configurations using the format 'HH:mm-HH:mm : Description' . By default, it includes a mix of ICT and Hydra macro times. Incorrect formatting in settings triggers an error, and clicking the "!" error message identifies the problematic configuration line. You can customize all visual elements, including whether to display Top, Bottom, or 50% lines, highlight the macro zone, or label the macro. To reduce chart clutter, you can also limit the number of past macros displayed. For alerts, you can set the advance warning time in minutes and customize the visual alert style (e.g., a vertical line) if enabled. The indicator is compatible with timeframes of 5 minutes or less; higher timeframes will generate an error.
Penunjuk Pine Script®
oleh outofoptions
6
STOCK EXCHANGE + SILVER BULLET FRAMESThis script is an updated version of the " NY/LDN/TOK Stock Exchange Opening Hours " script. Objective Displays global stock exchange sessions (New York, London, Tokyo) with session frames, highs/lows, and opening lines. Includes ICT Silver Bullet windows (NY, London, Tokyo) with configurable shading. Past sessions are frozen at close, ongoing sessions update dynamically until closure, and upcoming sessions are pre-drawn. Fully customizable with options for weekends, labels, padding, opacity, and individual session toggles. It is designed to help traders quickly interpret market context, liquidity zones, and session-based price behavior. Main Features Past sessions (historical data) • Session Frames: • Each box is frozen at the session’s close. • The left edge aligns with the opening time, while the right edge is fixed at the closing time. • The top and bottom reflect the highest and lowest prices during the session. • Session Labels: • Names (NY, LDN, TOK) displayed above the frame, aligned left, in the same color as the frame. • Opening Lines: • Vertical dotted lines mark the start of each session. Ongoing and upcoming sessions (live market) • Dynamic Session Frames: • The right edge is locked at the future close time. • The top and bottom update in real time as new highs and lows form. • Labels and Lines: • The session label is visible above the active frame. • Opening lines are drawn as soon as the session begins. Silver Bullet Time Windows (ICT concept) • Highlights key liquidity windows within sessions: • New York: 10:00–11:00 and 14:00–15:00 • London: 08:00–09:00 • Tokyo: 09:00–10:00 • Silver Bullet zones are shaded with configurable opacity (default 5%). Customization and Options • Enable or disable individual sessions (NY, London, Tokyo). • Toggle weekend display (frames and Silver Bullets). • Adjust label size, padding, and text visibility. • Control frame opacity (default 0%). • Optimized memory management with automatic pruning of old graphical objects.
Penunjuk Pine Script®
oleh julbbnj
CycleTrend | QuantEdgeB📊 CycleTrend | QuantEdgeB The CycleTrend strategy is a comprehensive trend-following system that integrates multiple advanced techniques, including on-chain data analysis, macroeconomic indicators, trend filters, and statistical smoothing functions. This strategy dynamically adapts to market conditions by blending traditional technical analysis tools with modern quantitative finance approaches, making it a powerful hybrid model suitable for different market regimes. 🔗 The Core Framework of CycleTrend 🧩 1️⃣ Multi-Dimensional Market Analysis CycleTrend incorporates four key dimensions of market structure, ensuring that it captures long-term, medium-term, and short-term trends while filtering out noise. ✔ On-Chain Data (MosaicMix) → Detects long-term trends using blockchain analytics. ✔ Macro & Risk Indicators (RiskMosaic) → Measures macroeconomic influences on market behavior. ✔ ChronoSync (Technical Trend-Following Signals) → Blends multiple trend-following indicators for directional bias. ✔ Sentival TF (Statistical Sentiment Analysis) → Uses Z-score-based mean-reversion indicators for overbought/oversold conditions. 📊 2️⃣ How These Components Work Together Each component contributes a specific function to the strategy: 1. On-Chain Analysis (MosaicMix) → Market Strength o Short-Term Holder MVRV → Measures unrealized profit/loss based on recent Bitcoin holders. o Profit & Loss Ratio with MVRV Rate of Change (PLRoC) → Filters out weak market conditions using profit/loss trend dynamics. o Final On-Chain Signal → Determines if on-chain data suggests a bullish or bearish phase. 2. RiskMosaic (Macroeconomic & Risk Model) → Risk-Regime Detection o Tracks 10 key economic variables like RSI, China Equity Index, PMI, BTC supply trends, and silver ratio. o Uses Z-score normalization to measure relative trends across macro indicators. o Identifies shifts in macroeconomic risk sentiment and aligns CycleTrend to major economic cycles. 3. ChronoSync (Technical Trend Model) → Precise Trade Execution o VIDYA ATR Gaussian Filter → Detects long-term trend momentum with adaptive smoothing. o KIJUN ATR & Dual SD Kijun → Captures structural price movements while filtering short-term volatility. o VIDYA Loop Function → Iteratively tracks trend momentum over an extended period. o PRC-ALMA Adaptive Bands & Bollinger Bands % SD → Adapts trend signals based on mean-reverting conditions. o Final ChronoSync Score → Aggregates all trend-following components to generate high-probability directional bias. 4. Sentival TF (Mean-Reversion & Momentum Filter) → Smart Entry/Exit Signals o MVRV Z-Score → Measures how overbought/oversold Bitcoin is relative to historical valuations. o SOPR, BB%, RSI, RoC, and NUPL Indicators → Filters out low-confidence trade setups by adding statistical validation. o Final Sentival Signal → A quantitative assessment of whether a trade setup has a statistical edge. 🛠️ 3️⃣ CycleTrend Signal Generation Once all four components (On-Chain, Macro, ChronoSync, and Sentival) produce signals, they are blended into a final CycleTrend score (TPI): TPI=On-Chain RiskMosaic + Sentival-Chrono Trend BiasTPI = \text{On-Chain RiskMosaic + Sentival-Chrono Trend Bias} The strategy then applies threshold-based decision rules: ✔ Go Long (BUY) → If TPI>LuTPI > Lu (Long Threshold) ✔ Go Short (SELL) → If TPI
Penunjuk Pine Script®
oleh QuantEdgeB
Perfect Buy/Sell Entry (SMC) v31. Write a clear title A title like "Perfect Buy Entry Checklist (SMC) v2" is great because it is descriptive. It tells users exactly what the indicator is designed to do. 2. Start with an overview Briefly explain the purpose of your script. What problem does it solve? What trading concept is it based on? Example: "This indicator automates a Smart Money Concepts (SMC) based checklist to find high-probability buy entries. It's designed to help traders identify a series of bullish market conditions in a single view." 3. List key features Use a bulleted or numbered list to highlight the main components of your script. This makes it easy for users to quickly see what the indicator includes. Example: Liquidity Sweep Detection: Identifies a bearish liquidity grab followed by a bullish move. Momentum Confirmation: Uses MACD and RSI to confirm bullish momentum. Break of Structure (BOS): Signals when the price closes above a confirmed swing high. Risk/Reward Calculation: Provides a basic ATR-based risk/reward check. 4. Explain how to use it Provide simple, actionable steps on how a trader can use your indicator in their own analysis. Example: "A 'Perfect Buy' signal is generated when all conditions in the checklist are met. You can use this signal as a final confirmation for your own trading ideas. Use it in conjunction with other price action analysis."
Penunjuk Pine Script®
oleh FXCHANCHAV
Marcius Studio® - Cross-Asset Correlator™Cross-Asset Correlator™ — a pair-trading strategy that identifies correlation breakdowns between two assets and captures profit opportunities from market inefficiencies. The strategy enters trades when the correlation drops below a set threshold and closes positions once correlation recovers. The main concept is to exploit temporary divergence between two assets by going long the stronger one and short the weaker one, aiming to profit when their correlation reverts. Important : This script illustrates asset correlation concepts for educational purposes only. It's not for live trading—requires adjustments and offers no performance guarantees. Always apply risk management. TradingView Limitation By default, TradingView’s built-in Strategy interface does not support backtesting with two different assets . To overcome this, the script is implemented as an indicator with a fully custom backtesting engine that calculates PnL, trades, and performance statistics directly on the chart. Idea Markets move in clusters : altcoins follow BTC, memecoins track Solana, L2 projects mirror Ethereum. But correlations aren’t perfect—temporary divergences create pricing inefficiencies. The logic: When an asset lags or overshoots its usual correlation, it’s a mispricing opportunity. Trade the reversion: buy undervalued divergence, sell overextended convergence. The market eventually corrects, but the inefficiency window allows profit before realignment. OKX Signal Bot Integration This script includes a built-in interface for OKX Signal Bot . It can generate structured JSON alerts (ENTER / EXIT, long / short) and directly manage trades on OKX exchange . This allows seamless automation of correlation-based strategies without manual order execution. Note : The OKX Signal Bot (for demo use only) assists with alerts & trade management but does not ensure profits. You are fully responsible for your trades—always apply risk management. Strategy Parameters Symbol 1 / Symbol 2 : trading instruments to be analyzed. SMA Period : smoothing period for price averages. Correlation Period : number of bars used to calculate correlation coefficient. Upper Correlation Threshold : level above which trades are closed. Lower Correlation Threshold : level below which new trades are opened. percentage_investment (%) : allocation per entry signal (used for OKX integration). Example Settings OKX:FARTCOINUSDT.P / OKX:PENGUUSDT.P Timeframe : 1H SMA Period : 60 Correlation Period : 25 Upper Threshold : 0.9 Lower Threshold : 0.1 percentage_investment : 10% How the Code Works Retrieves closing prices of two selected assets. Calculates correlation coefficient and moving averages. When correlation breaks below the lower threshold, the script opens a pair trade (long/short depending on SMA relation). When correlation recovers above the upper threshold, all open trades are closed. Real-time alerts are generated in JSON format for OKX bots (ENTER/EXIT signals). Built-in backtesting engine tracks PnL, trades, and statistics (7d / 30d / total). Visual labels mark entries, exits, and PnL results directly on the chart. Disclaimer Trading involves risk — always do your own research (DYOR) and seek professional financial advice. We are not responsible for any potential financial losses.
Penunjuk Pine Script®
oleh marcius-studio
Multi SMA by GreenDecodeThis indicator, created by GreenDecode, plots eight Simple Moving Averages (SMAs) with customizable lengths and resolutions. Each SMA can be toggled on or off, and the colors are distinctly set for easy identification: SMA1 (yellow), SMA2 (cyan), SMA3 (green), SMA4 (red), SMA5 (blue), SMA6 (lightblue), SMA7 (teal), and SMA8 (gold). The SMAs are calculated to avoid repainting by using the 'lookahead=barmerge.lookahead_off' parameter, ensuring historical accuracy. Ideal for technical analysis to identify trends and potential reversal points on various timeframes.
Penunjuk Pine Script®
oleh SALMANSHAIKH
MACD BILE 📊 How to Interpret Green histogram → strong bullish momentum, favoring buy/long setups. Red histogram → strong bearish momentum, favoring sell/short setups. MACD crossing above Signal → buy signal. MACD crossing below Signal → sell signal. Because the cycle is adaptive, the indicator becomes more responsive in volatile markets and more stable during sideways conditions, reducing noise compared to the standard fixed-period MACD. 🔑 Key Advantages over Standard MACD Adaptive to market conditions → no need to manually choose fixed periods. Reduces false signals during sideways or ranging markets. Provides clearer trend detection, especially in highly volatile assets such as crypto, forex, and stocks.
Penunjuk Pine Script®
oleh duy-le