开始

在脚本中搜索"market structure"

The Curved Market Structure [BigBeluga]Curved Market Structure The Curved Market Structure indicator offers an innovative twist on traditional market structure tools by using curved lines instead of horizontal ones, enabling faster breakout detection for traders. 🔵Key Features: Curved Market Structure Levels: The indicator identifies high and low pivots and plots curved lines connecting these points, adapting to market dynamics and providing a more intuitive view of potential breakout zones. Breakout Detection: Breakouts above or below the curved levels are marked with triangle symbols (▲ or ▼), making it easy to spot critical price movements. Dynamic Target Levels: After a breakout, the indicator plots three target levels, which serve as potential price objectives. Each target is marked with a number and a star (e.g., 1★) upon being reached. Customizable Line Length and Angle: Users can adjust the length and angle of the curved lines to fit their trading style and timeframe, making the tool versatile and adaptable. Market Structure Trend Filtering: To maintain a clean chart, the indicator plots curved levels only from high pivots during uptrends and low pivots during downtrends. 🔵How It Works: The indicator identifies high and low pivots using user-defined parameters (left and right bars). Curved lines are drawn from these pivot points, showing the structure of the market and potential breakout zones. When a breakout occurs, the indicator highlights the direction with triangle symbols and dynamically plots three price targets. Upon reaching these targets, the level is marked with its respective number and a star, helping traders track price progression effectively. The lines and targets are adjusted based on market conditions, ensuring real-time relevance and accuracy. 🔵Use Cases: Spotting key breakout zones to identify entry and exit points more effectively. Setting dynamic target levels for take-profit or stop-loss planning. Filtering market noise and maintaining a cleaner chart while analyzing trends. Enhancing traditional market structure analysis with an intuitive curved visualization. This indicator is ideal for traders who want a modern, dynamic, and visually appealing way to track market structure and breakouts while maintaining chart clarity.
Pine Script®指标
由BigBeluga提供
13
Simple Market Structure Highs & Lows🟩 Simple Market Structure Highs & Lows This indicator identifies basic swing highs and lows based on simple two-candle patterns, giving traders a clean visual view of short-term market structure shifts. 🔹 Logic A Swing High (H) is marked when an up candle is followed by a down candle. → The high of the up candle (the first one) is plotted as a green triangle above the bar. A Swing Low (L) is marked when a down candle is followed by an up candle. → The low of the down candle (the first one) is plotted as a red triangle below the bar. 🔹 Purpose This tool helps visualize basic market turning points — useful for: Spotting local tops and bottoms Analyzing market structure changes Identifying potential entry/exit zones Building the foundation for BOS/CHoCH strategies 🔹 Notes Works on any timeframe or asset. No repainting — signals appear after the confirming candle closes. Simple and lightweight — ideal for traders who prefer clean structure visualization.
Pine Script®指标
由ggeorgiev9pm提供
Simple Market Structure Highs & Lows🟩 Simple Market Structure Highs & Lows This indicator identifies basic swing highs and lows based on simple two-candle patterns, giving traders a clean visual view of short-term market structure shifts. 🔹 Logic A Swing High (H) is marked when an up candle is followed by a down candle. → The high of the up candle (the first one) is plotted as a green triangle above the bar. A Swing Low (L) is marked when a down candle is followed by an up candle. → The low of the down candle (the first one) is plotted as a red triangle below the bar. 🔹 Purpose This tool helps visualize basic market turning points — useful for: Spotting local tops and bottoms Analyzing market structure changes Identifying potential entry/exit zones Building the foundation for BOS/CHoCH strategies 🔹 Notes Works on any timeframe or asset. No repainting — signals appear after the confirming candle closes. Simple and lightweight — ideal for traders who prefer clean structure visualization.
Pine Script®指标
由ggeorgiev9pm提供
POC Migration Velocity (POC-MV) [PhenLabs]📊POC Migration Velocity (POC-MV) Version: PineScript™v6 📌Description The POC Migration Velocity indicator revolutionizes market structure analysis by tracking the movement, speed, and acceleration of Point of Control (POC) levels in real-time. This tool combines sophisticated volume distribution estimation with velocity calculations to reveal hidden market dynamics that conventional indicators miss. POC-MV provides traders with unprecedented insight into volume-based price movement patterns, enabling the early identification of continuation and exhaustion signals before they become apparent to the broader market. By measuring how quickly and consistently the POC migrates across price levels, traders gain early warning signals for significant market shifts and can position themselves advantageously. The indicator employs advanced algorithms to estimate intra-bar volume distribution without requiring lower timeframe data, making it accessible across all chart timeframes while maintaining sophisticated analytical capabilities. 🚀Points of Innovation Micro-POC calculation using advanced OHLC-based volume distribution estimation Real-time velocity and acceleration tracking normalized by ATR for cross-market consistency Persistence scoring system that quantifies directional consistency over multiple periods Multi-signal detection combining continuation patterns, exhaustion signals, and gap alerts Dynamic color-coded visualization system with intensity-based feedback Comprehensive customization options for resolution, periods, and thresholds 🔧Core Components POC Calculation Engine: Estimates volume distribution within each bar using configurable price bands and sophisticated weighting algorithms Velocity Measurement System: Tracks the rate of POC movement over customizable lookback periods with ATR normalization Acceleration Calculator: Measures the rate of change of velocity to identify momentum shifts in POC migration Persistence Analyzer: Quantifies how consistently POC moves in the same direction using exponential weighting Signal Detection Framework: Combines trend analysis, velocity thresholds, and persistence requirements for signal generation Visual Rendering System: Provides dynamic color-coded lines and heat ribbons based on velocity and price-POC relationships 🔥Key Features Real-time POC calculation with 10-100 configurable price bands for optimal precision Velocity tracking with customizable lookback periods from 5 to 50 bars Acceleration measurement for detecting momentum changes in POC movement Persistence scoring to validate signal strength and filter false signals Dynamic visual feedback with blue/orange color scheme indicating bullish/bearish conditions Comprehensive alert system for continuation patterns, exhaustion signals, and POC gaps Adjustable information table displaying real-time metrics and current signals Heat ribbon visualization showing price-POC relationship intensity Multiple threshold settings for customizing signal sensitivity Export capability for use with separate panel indicators 🎨Visualization POC Connecting Lines: Color-coded lines showing POC levels with intensity based on velocity magnitude Heat Ribbon: Dynamic colored ribbon around price showing POC-price basis intensity Signal Markers: Clear exhaustion top/bottom signals with labeled shapes Information Table: Real-time display of POC value, velocity, acceleration, basis, persistence, and current signal status Color Gradients: Blue gradients for bullish conditions, orange gradients for bearish conditions 📖Usage Guidelines POC Calculation Settings POC Resolution (Price Bands): Default 20, Range 10-100. Controls the number of price bands used to estimate volume distribution within each bar Volume Weight Factor: Default 0.7, Range 0.1-1.0. Adjusts the influence of volume in POC calculation POC Smoothing: Default 3, Range 1-10. EMA smoothing period applied to the calculated POC to reduce noise Velocity Settings Velocity Lookback Period: Default 14, Range 5-50. Number of bars used to calculate POC velocity Acceleration Period: Default 7, Range 3-20. Period for calculating POC acceleration Velocity Significance Threshold: Default 0.5, Range 0.1-2.0. Minimum normalized velocity for continuation signals Persistence Settings Persistence Lookback: Default 5, Range 3-20. Number of bars examined for persistence score calculation Persistence Threshold: Default 0.7, Range 0.5-1.0. Minimum persistence score required for continuation signals Visual Settings Show POC Connecting Lines: Toggle display of colored lines connecting POC levels Show Heat Ribbon: Toggle display of colored ribbon showing POC-price relationship Ribbon Transparency: Default 70, Range 0-100. Controls transparency level of heat ribbon Alert Settings Enable Continuation Alerts: Toggle alerts for continuation pattern detection Enable Exhaustion Alerts: Toggle alerts for exhaustion pattern detection Enable POC Gap Alerts: Toggle alerts for significant POC gaps Gap Threshold: Default 2.0 ATR, Range 0.5-5.0. Minimum gap size to trigger alerts ✅Best Use Cases Identifying trend continuation opportunities when POC velocity aligns with price direction Spotting potential reversal points through exhaustion pattern detection Confirming breakout validity by monitoring POC gap behavior Adding volume-based context to traditional technical analysis Managing position sizing based on POC-price basis strength ⚠️Limitations POC calculations are estimations based on OHLC data, not true tick-by-tick volume distribution Effectiveness may vary in low-volume or highly volatile market conditions Requires complementary analysis tools for complete trading decisions Signal frequency may be lower in ranging markets compared to trending conditions Performance optimization needed for very short timeframes below 1-minute 💡What Makes This Unique Advanced Estimation Algorithm: Sophisticated method for calculating POC without requiring lower timeframe data Velocity-Based Analysis: Focus on POC movement dynamics rather than static levels Comprehensive Signal Framework: Integration of continuation, exhaustion, and gap detection in one indicator Dynamic Visual Feedback: Intensity-based color coding that adapts to market conditions Persistence Validation: Unique scoring system to filter signals based on directional consistency 🔬How It Works Volume Distribution Estimation: Divides each bar into configurable price bands for volume analysis Applies sophisticated weighting based on OHLC relationships and proximity to close Identifies the price level with maximum estimated volume as the POC Velocity and Acceleration Calculation: Measures POC rate of change over specified lookback periods Normalizes values using ATR for consistent cross-market performance Calculates acceleration as the rate of change of velocity Signal Generation Process: Combines trend direction analysis using EMA crossovers Applies velocity and persistence thresholds to filter signals Generates continuation, exhaustion, and gap alerts based on specific criteria 💡Note: This indicator provides estimated POC calculations based on available OHLC data and should be used in conjunction with other analysis methods. The velocity-based approach offers unique insights into market structure dynamics but requires proper risk management and complementary analysis for optimal trading decisions.
Pine Script®指标
由PhenLabs提供
Vietnamese Market Structure With CountersThis indicator is designed to track Market Structure with Swing-Low Breakdowns and Swing-High Breakups specifically tailored for the Vietnamese stock market, though it can be applied elsewhere too. By default, it uses a 10-period EMA to dynamically detect key turning points in price action and count significant breakdowns or breakups from previous swing levels. As an open source, you can modify the source code to match your needs. What it does: Detects when price breaks below previous swing lows or above previous swing highs. Plots swing levels for both highs and lows. Displays labeled counters on the chart to show how many consecutive breakdowns or breakups have occurred. Helps traders identify trend shifts and possible exhaustion in moves. Why it's useful: This tool is great for visually tracking market momentum and structure changes — especially in trending or volatile environments. It emphasizes structure over indicators, helping you understand price behavior in a simplified, intuitive way. License: This script is published under the Mozilla Public License 2.0. Feel free to use, modify, and contribute! Created with care by @doqkhanh. If you find it useful, consider leaving a comment or sharing it with others!
Pine Script®指标
由doqkhanh提供
1
ICT Market Structure and OTE ZoneThis indicator is based on the ICT (Inner Circle Trader) concepts, and it helps identify daily market structure and the optimal trade entry (OTE) zone based on Fibonacci retracement levels. To read and interpret this indicator, follow these steps: Daily High and Low: The red line represents the daily high, while the green line represents the daily low. These lines help you understand the market structure and the range within which the price has moved during the previous day. OTE Zone: The gray area between two gray lines represents the optimal trade entry (OTE) zone. This zone is calculated using Fibonacci retracement levels (in this case, 61.8% and 78.6%) applied to the previous day's high and low. The OTE zone is an area where traders might expect a higher probability of a price reversal, following the ICT concepts. To use this indicator for trading decisions, you should consider the following: Identify the market structure and overall trend (uptrend, downtrend, or ranging). Watch for price action to enter the OTE zone. When the price reaches the OTE zone, it may indicate a higher probability of a price reversal. Combine the OTE zone with other confluences, such as support and resistance levels, candlestick patterns, or additional ICT concepts like order blocks and market maker profiles, to strengthen your trading decisions. Always use proper risk management and stop-loss orders to protect your capital in case the market moves against your trade. Keep in mind that the provided indicator is a simple example based on the ICT concepts and should not be considered financial advice. The ICT methodology is vast, and traders often combine multiple concepts to develop their trading strategies. The provided indicator should be treated as a starting point to explore and implement the ICT concepts in your trading strategy.
Pine Script®指标
由Intuitive_Anchor_Trading提供
3
Simple Market StructureThis indicator is meant for education and experimental purposes only. Many Market Structure Script out there isn't open-sourced and some could be complicated to understand to modify the code. Hence, I published this code to make life easier for beginner programmer like me to modify the code to fit their custom indicator. As I am not a expert or pro in coding it might not be as accurate as other reputable author. Any experts or pros that is willing to contribute this code in the comment section below would be appreciated, I will modify and update the script accordingly as part of my learning journey. It is useful to a certain extend to detect Market Structure using Swing High/Low in all market condition. Here are some points that I am looking to improve / fix: To fix certain horizontal lines that does not paint up to the point where it breaks through. To add in labels when a market structure is broken. Allow alerts to be sent when market structure is broken (Probably be done in the last few updates after knowing it is stable and as accurate as possible) Any suggested improvement, please do let me know in the comment section below and I will try my best to implement it into the script.
Pine Script®指标
由RrBc2提供
5
Liquidity + Order-Flow Exhaustion (Smart-Money Logic)Liquidity + Order-Flow Exhaustion (Smart-Money Logic) is a visual tool that helps traders recognize where big market participants (“smart money”) are likely accumulating or distributing positions. It identifies liquidity sweeps (stop-hunts above or below previous swing levels) and market structure shifts (reversals confirmed by price closing back in the opposite direction). In simple terms, it shows where price “tricks” retail traders into chasing breakouts — right before reversing. How it works: The script scans recent highs and lows to find when price breaks them and quickly rejects — a sign of stop-hunts or liquidity grabs. It then checks for a close back inside the previous range to confirm a possible Market Structure Shift (MSS). When this happens, the chart highlights the zone and optionally adds directional labels (🔹 or 🔸) to mark where the liquidity event occurred. How to read the signals: 🟢 Bullish shift — Price takes out a previous low, then closes higher. This often marks the end of a short-term down-move. 🔴 Bearish shift — Price sweeps a previous high, then closes lower. This often marks the end of a short-term rally. Colored backgrounds and labels help visualize these key reversals directly on the chart. How to use it: Apply to any timeframe; 15-minute to 4-hour charts work best. Use it to confirm reversals near major swing points or liquidity zones. Combine with volume spikes, displacement candles, or Fair-Value Gaps (FVGs) for stronger confirmation. What makes it original: Simple, self-contained logic inspired by Smart Money Concepts (SMC). Automatically detects both liquidity sweeps and the subsequent structural shift. Visual and alert-ready design — perfect for discretionary or algorithmic strategies. Tip: For even better accuracy, align detected shifts with higher-timeframe bias or VWAP deviations.
Pine Script®指标
由tkarolak提供
Enhanced Market Structure StrategyATR-Based Risk Management: Stop Loss: 2 ATR from entry (configurable) Take Profit: 3 ATR from entry (configurable) Dynamic Position Sizing: Based on ATR stop distance and max risk percentage Advanced Signal Filters: RSI Filter: Long trades: RSI < 70 and > 40 (avoiding overbought) Short trades: RSI > 30 and < 60 (avoiding oversold) Volume Filter: Requires volume > 1.2x the 20-period moving average Ensures institutional participation MACD Filter (Optional): Long: MACD line above signal line and rising Short: MACD line below signal line and falling EMA Trend Filter: 50-period EMA for trend confirmation Long trades require price above rising EMA Short trades require price below falling EMA Higher Timeframe Filter: Uses 4H/Daily EMA for multi-timeframe confluence Enhanced Entry Logic: Regular Entries: IDM + BOS + ALL filters must pass Sweep Entries: Failed breakouts with tighter stops (1.6 ATR) High-Probability Focus: Only trades when multiple confirmations align Visual Improvements: Detailed Entry Labels: Show entry, stop, target, and risk percentage SL/TP Lines: Visual representation of risk/reward Filter Status: Bar coloring shows when all filters align Comprehensive Statistics: Real-time performance metrics Key Strategy Parameters: pinescript// Recommended Settings for Different Markets: // Forex (4H-Daily): // - CHoCH Period: 50-75 // - ATR SL: 2.0, ATR TP: 3.0 // - All filters enabled // Crypto (1H-4H): // - CHoCH Period: 30-50 // - ATR SL: 2.5, ATR TP: 4.0 // - Volume filter especially important // Indices (4H-Daily): // - CHoCH Period: 50-100 // - ATR SL: 1.8, ATR TP: 2.7 // - EMA and MACD filters crucial Expected Performance Improvements: Win Rate: 55-70% (improved filtering) Profit Factor: 2.0-3.5+ (better risk/reward with ATR) Reduced Drawdown: Stricter filters reduce false signals Consistent Risk: ATR-based stops adapt to volatility This enhanced version provides much more robust signal filtering while maintaining the core market structure edge, resulting in higher-probability trades with consistent risk management.
Pine Script®策略
由maharshi14提供
Simple ICT Market Structure by toodegreesThis Simple ICT Market Structure is based on the teachings of ICT, specifically in his episode 12 of the Public 2022 Mentorship. The only omission here is the peculiar calculation of Intermediate Term points, for which I am not using the concept of repricing imbalances – this can be added later! Feel free to use this tool, however it is quite simple and market structure is something we all know very well how to spot. In my opinion it is helpful to display the long term swing points to identify more mature pools of liquidity. The reason for coding this tool is to help new coders understand PineScript (I have a video tutorial where I code this from start to finish), as well as fostering some algorithmic thinking in your trading of ICT Concepts and Algorithmic Delivery. If you have any questions about the code, shoot me a message! Hope you learn something and GLGT!
Pine Script®指标
由toodegrees提供
29
MarketStructureLibrary "MarketStructure" This library contains functions for identifying Lows and Highs in a rule-based way, and deriving useful information from them. f_simpleLowHigh() This function finds Local Lows and Highs, but NOT in order. A Local High is any candle that has its Low taken out on close by a subsequent candle (and vice-versa for Local Lows). The Local High does NOT have to be the candle with the highest High out of recent candles. It does NOT have to be a Williams High. It is not necessarily a swing high or a reversal or anything else. It doesn't have to be "the" high, so don't be confused. By the rules, Local Lows and Highs must alternate. In this function they do not, so I'm calling them Simple Lows and Highs. Simple Highs and Lows, by the above definition, can be useful for entries and stops. Because I intend to use them for stops, I want them all, not just the ones that alternate in strict order. @param - there are no parameters. The function uses the chart OHLC. @returns boolean values for whether this bar confirms a Simple Low/High, and ints for the bar_index of that Low/High. f_localLowHigh() This function finds Local Lows and Highs, in order. A Local High is any candle that has its Low taken out on close by a subsequent candle (and vice-versa for Local Lows). The Local High does NOT have to be the candle with the highest High out of recent candles. It does NOT have to be a Williams High. It is not necessarily a swing high or a reversal or anything else. By the rules, Local Lows and Highs must alternate, and in this function they do. @param - there are no parameters. The function uses the chart OHLC. @returns boolean values for whether this bar confirms a Local Low/High, and ints for the bar_index of that Low/High. f_enhancedSimpleLowHigh() This function finds Local Lows and Highs, but NOT in order. A Local High is any candle that has its Low taken out on close by a subsequent candle (and vice-versa for Local Lows). The Local High does NOT have to be the candle with the highest High out of recent candles. It does NOT have to be a Williams High. It is not necessarily a swing high or a reversal or anything else. By the rules, Local Lows and Highs must alternate. In this function they do not, so I'm calling them Simple Lows and Highs. Simple Highs and Lows, by the above definition, can be useful for entries and stops. Because I intend to use them for trailing stops, I want them all, not just the ones that alternate in strict order. The difference between this function and f_simpleLowHigh() is that it also tracks the lowest/highest recent level. This level can be useful for trailing stops. In effect, these are like more "normal" highs and lows that you would pick by eye, but confirmed faster in many cases than by waiting for the low/high of that particular candle to be taken out on close, because they are instead confirmed by ANY subsequent candle having its low/high exceeded. Hence, I call these Enhanced Simple Lows/Highs. The levels are taken from the extreme highs/lows, but the bar indexes are given for the candles that were actually used to confirm the Low/High. This is by design, because it might be misleading to label the extreme, since we didn't use that candle to confirm the Low/High.. @param - there are no parameters. The function uses the chart OHLC. @returns - boolean values for whether this bar confirms an Enhanced Simple Low/High ints for the bar_index of that Low/High floats for the values of the recent high/low levels floats for the trailing high/low levels (for debug/post-processing) bools for market structure bias f_trueLowHigh() This function finds True Lows and Highs. A True High is the candle with the highest recent high, which then has its low taken out on close by a subsequent candle (and vice-versa for True Lows). The difference between this and an Enhanced High is that confirmation requires not just any Simple High, but confirmation of the very candle that has the highest high. Because of this, confirmation is often later, and multiple Simple Highs and Lows can develop within ranges formed by a single big candle without any of them being confirmed. This is by design. A True High looks like the intuitive "real high" when you look at the chart. True Lows and Highs must alternate. @param - there are no parameters. The function uses the chart OHLC. @returns - boolean values for whether this bar confirms an Enhanced Simple Low/High ints for the bar_index of that Low/High floats for the values of the recent high/low levels floats for the trailing high/low levels (for debug/post-processing) bools for market structure bias
Pine Script®库
由SimpleCryptoLife提供
13
Whale Breaker — HTF Order Blocks + Market Structure HUDWhale Breaker (Debug Edition) is an advanced Smart Money Concept (SMC) tool designed to project High Timeframe (HTF) order blocks onto your Lower Timeframe (LTF) charts while tracking market structure breaks (BOS / CHoCH). This debug build adds extra transparency: the mini-HUD not only shows HTF trend, last signal, and active order blocks, but also explains why no new block was created (e.g. no HTF BOS, body not found, ATR filter too strict, max-per-side limit). This makes it easier to fine-tune your settings and understand the logic behind the indicator. Key features: - HTF order blocks (e.g. 1h) projected into LTF charts (e.g. 15m) - Automatic right-extension until mitigation (MB) - Mitigation detection: blocks shaded once filled - ATR filter to remove insignificant micro-zones - Per-side cap: limit the maximum active BU/B blocks - Lookback-based pruning for clean charts - BOS/CHoCH arrows on chart (▲ green = bullish, ▼ red = bearish) - Compact HUD with trend, last signal, active OBs, legend, and debug reasons Usage: - Define your HTF (e.g. 1h) and trade entries on the LTF (e.g. 15m). - Wait for a BOS in HTF direction, then target the projected order block. - Stop Loss just beyond the OB, Take Profit at next opposite OB or using a fixed RRR. Note: This is a debugging/educational version to understand order block creation logic. For live trading, consider using the standard Whale Breaker.
Pine Script®指标
由Kammi07提供
AMD Session Structure Levels# Market Structure & Manipulation Probability Indicator ## Overview This advanced indicator is designed for traders who want a systematic approach to analyzing market structure, identifying manipulation, and assessing probability-based trade setups. It incorporates four core components: ### 1. Session Price Action Analysis - Tracks **OHLC (Open, High, Low, Close)** within defined sessions. - Implements a **dual tracking system**: - **Official session levels** (fixed from the session open to close). - **Real-time max/min tracking** to differentiate between temporary spikes and real price acceptance. ### 2. Market Manipulation Detection - Identifies **manipulative price action** using the relationship between the open and close: - If **price closes below open** → assumes **upward manipulation**, followed by **downward distribution**. - If **price closes above open** → assumes **downward manipulation**, followed by **upward distribution**. - Normalized using **ATR**, ensuring adaptability across different volatility conditions. ### 3. Probability Engine - Tracks **historical wick ratios** to assess trend vs. reversal conditions. - Calculates **conditional probabilities** for price moves. - Uses a **special threshold system (0.45 and 0.03)** for reversal signals. - Provides **real-time probability updates** to enhance trade decision-making. ### 4. Market Condition Classification - Classifies market conditions using a **wick-to-body ratio**: ```pine wick_to_body_ratio = open > close ? upper_wick / (high - low) : lower_wick / (high - low) ``` - **Low ratio (<0.25)** → Likely a **trend day**. - **High ratio (>0.25)** → Likely a **range day**. --- ## Why This Indicator Stands Out ### ✅ Smarter Level Detection - Uses **ATR-based dynamic levels** instead of static support/resistance. - Differentiates **manipulation from distribution** for better decision-making. - Updates probabilities **in real-time**. ### ✅ Memory-Efficient Design - Implements **circular buffers** to maintain efficiency: ```pine var float manipUp = array.new_float(lookbackPeriod, 0.0) var float manipDown = array.new_float(lookbackPeriod, 0.0) ``` - Ensures **constant memory usage**, even over extended trading sessions. ### ✅ Advanced Probability Calculation - Utilizes **conditional probabilities** instead of simple averages. - Incorporates **market context** through wick analysis. - Provides **actionable signals** via a probability table. --- ## Trading Strategy Guide ### **Best Entry Setups** ✅ Wait for **price to approach manipulation levels**. ✅ Confirm using the **probability table**. ✅ Check the **wick ratio for context**. ✅ Enter when **conditional probability aligns**. ### **Smart Exit Management** ✅ Use **distribution levels** as **profit targets**. ✅ Scale out **when probabilities shift**. ✅ Monitor **wick percentiles** for confirmation. ### **Risk Management** ✅ Size positions based on **probability readings**. ✅ Place stops at **manipulation levels**. ✅ Adjust position size based on **trend vs. range classification**. --- ## Configuration Tips ### **Session Settings** ```pine sessionTime = input.session("0830-1500", "Session Hours") weekDays = input.string("23456", "Active Days") ``` - Match these to your **primary trading session**. - Adjust for different **market opens** if needed. ### **Analysis Parameters** ```pine lookbackPeriod = input.int(50, "Lookback Period") low_threshold = input.float(0.25, "Trend/Range Threshold") ``` - **50 periods** is a good starting point but can be optimized per instrument. - The **0.25 threshold** is ideal for most markets but may need adjustments. --- ## Market Structure Breakdown ### **Trend/Continuation Days** - **Characteristics:** ✅ Small **opposing wicks** (minimal counter-pressure). ✅ Clean, **directional price movement**. - **Bullish Trend Day Example:** ✅ Small **lower wicks** (minimal downward pressure). ✅ Strong **closes near the highs** → **Buyers in control**. - **Bearish Trend Day Example:** ✅ Small **upper wicks** (minimal upward pressure). ✅ Strong **closes near the lows** → **Sellers in control**. ### **Reversal Days** - **Characteristics:** ✅ **Large opposing wicks** → Failed momentum in the initial direction. - **Bullish Reversal Example:** ✅ **Large upper wick early**. ✅ **Strong close from the lows** → **Sellers failed to maintain control**. - **Bearish Reversal Example:** ✅ **Large lower wick early**. ✅ **Weak close from the highs** → **Buyers failed to maintain control**. --- ## Summary This indicator systematically quantifies market structure by measuring **manipulation, distribution, and probability-driven trade setups**. Unlike traditional indicators, it adapts dynamically using **ATR, historical probabilities, and real-time tracking** to offer a structured, data-driven approach to trading. 🚀 **Use this tool to enhance your decision-making and gain an objective edge in the market!**
Pine Script®指标
由Kill_Streak提供
1
Market Structure MA Based BOS [liwei666] 🎲 Overview 🎯 This BOS(Break Of Structure) indicator build based on different MA such as EMA/RMA/HMA, it's usually earlier than pivothigh() method when trend beginning, customer your BOS with 2 parameters now. 🎲 Indicator design logic 🎯 The logic is simple and code looks complex, I‘ll explain core logic but not code details. 1. use close-in EMA's highest/lowest value mark as SWING High/Low when EMA crossover/under, not use func ta.pivothigh()/ta.pivotlow() 2. once price reaching EMA’s SWING High/Low, draw a line link High/Low to current bar, labled as BOS 3. find regular pattern benefit your trading. 🎲 Settings 🎯 there are 4 input properties in script, 2 properties are meaningful in 'GRP1' another 2 are display config in 'GRP2'. GRP1 MA_Type: MA type you can choose(EMA/RMA/SMA/HMA), default is 'HMA'. short_ma_len: MA length of your current timeframe on chart GRP2 show_short_zz: Show short_ma Zigzag show_ma_cross_signal: Show ma_cross_signal 🎲 Usage 🎯 BOS signal usually worked fine in high volatility market, low volatility is meaningless. 🎯 We can see that it performs well in trending market of different symbols, and BOS is an opportunity to add positions BINANCE:BTCUSDTPERP BINANCE:ETHUSDTPERP 🎯 MA Based signal is earlier than pivothigh()/pivotlow() method when trend beginning. it means higher profit-loss rate. 🎯 any questions or suggestion please comment below. Additionally, I plan to publish 20 profitable strategies in 2023; indicatior not one of them, let‘s witness it together! Hope this indicator will be useful for you :) enjoy! 🚀🚀🚀
Pine Script®指标
由liwei666提供
6
Market Structure SentinelIt automatically labels key structural points on your chart: HH (Higher High): Green label above a pivot high that's higher than the previous one—signaling bullish continuation. HL (Higher Low): Green label below a pivot low that's higher than the previous one—confirming uptrend strength. LH (Lower High): Red label above a pivot high that's lower than the previous one—warning of potential bearish weakness. LL (Lower Low): Red label below a pivot low that's lower than the previous one—indicating downtrend momentum.
Pine Script®指标
由jepe_eth提供
Range Oscillator Strategy + Stoch Confirm🔹 Short summary This is a free, educational long-only strategy built on top of the public “Range Oscillator” by Zeiierman (used under CC BY-NC-SA 4.0), combined with a Stochastic timing filter, an EMA-based exit filter and an optional risk-management layer (SL/TP and R-multiple exits). It is NOT financial advice and it is NOT a magic money machine. It’s a structured framework to study how range-expansion + momentum + trend slope can be combined into one rule-based system, often with intentionally RARE trades. ──────────────────────── 0. Legal / risk disclaimer ──────────────────────── • This script is FREE and public. I do not charge any fee for it. • It is for EDUCATIONAL PURPOSES ONLY. • It is NOT financial advice and does NOT guarantee profits. • Backtest results can be very different from live results. • Markets change over time; past performance is NOT indicative of future performance. • You are fully responsible for your own trades and risk. Please DO NOT use this script with money you cannot afford to lose. Always start in a demo / paper trading environment and make sure you understand what the logic does before you risk any capital. ──────────────────────── 1. About default settings and risk (very important) ──────────────────────── The script is configured with the following defaults in the `strategy()` declaration: • `initial_capital = 10000` → This is only an EXAMPLE account size. • `default_qty_type = strategy.percent_of_equity` • `default_qty_value = 100` → This means 100% of equity per trade in the default properties. → This is AGGRESSIVE and should be treated as a STRESS TEST of the logic, not as a realistic way to trade. TradingView’s House Rules recommend risking only a small part of equity per trade (often 1–2%, max 5–10% in most cases). To align with these recommendations and to get more realistic backtest results, I STRONGLY RECOMMEND you to: 1. Open **Strategy Settings → Properties**. 2. Set: • Order size: **Percent of equity** • Order size (percent): e.g. **1–2%** per trade 3. Make sure **commission** and **slippage** match your own broker conditions. • By default this script uses `commission_value = 0.1` (0.1%) and `slippage = 3`, which are reasonable example values for many crypto markets. If you choose to run the strategy with 100% of equity per trade, please treat it ONLY as a stress-test of the logic. It is NOT a sustainable risk model for live trading. ──────────────────────── 2. What this strategy tries to do (conceptual overview) ──────────────────────── This is a LONG-ONLY strategy designed to explore the combination of: 1. **Range Oscillator (Zeiierman-based)** - Measures how far price has moved away from an adaptive mean. - Uses an ATR-based range to normalize deviation. - High positive oscillator values indicate strong price expansion away from the mean in a bullish direction. 2. **Stochastic as a timing filter** - A classic Stochastic (%K and %D) is used. - The logic requires %K to be below a user-defined level and then crossing above %D. - This is intended to catch moments when momentum turns up again, rather than chasing every extreme. 3. **EMA Exit Filter (trend slope)** - An EMA with configurable length (default 70) is calculated. - The slope of the EMA is monitored: when the slope turns negative while in a long position, and the filter is enabled, it triggers an exit condition. - This acts as a trend-protection exit: if the medium-term trend starts to weaken, the strategy exits even if the oscillator has not yet fully reverted. 4. **Optional risk-management layer** - Percentage-based Stop Loss and Take Profit (SL/TP). - Risk/Reward (R-multiple) exit based on the distance from entry to SL. - Implemented as OCO orders that work *on top* of the logical exits. The goal is not to create a “holy grail” system but to serve as a transparent, configurable framework for studying how these concepts behave together on different markets and timeframes. ──────────────────────── 3. Components and how they work together ──────────────────────── (1) Range Oscillator (based on “Range Oscillator (Zeiierman)”) • The script computes a weighted mean price and then measures how far price deviates from that mean. • Deviation is normalized by an ATR-based range and expressed as an oscillator. • When the oscillator is above the **entry threshold** (default 100), it signals a strong move away from the mean in the bullish direction. • When it later drops below the **exit threshold** (default 30), it can trigger an exit (if enabled). (2) Stochastic confirmation • Classic Stochastic (%K and %D) is calculated. • An entry requires: - %K to be below a user-defined “Cross Level”, and - then %K to cross above %D. • This is a momentum confirmation: the strategy tries to enter when momentum turns up from a pullback rather than at any random point. (3) EMA Exit Filter • The EMA length is configurable via `emaLength` (default 70). • The script monitors the EMA slope: it computes the relative change between the current EMA and the previous EMA. • If the slope turns negative while the strategy holds a long position and the filter is enabled, it triggers an exit condition. • This is meant to help protect profits or cut losses when the medium-term trend starts to roll over, even if the oscillator conditions are not (yet) signalling exit. (4) Risk management (optional) • Stop Loss (SL) and Take Profit (TP): - Defined as percentages relative to average entry price. - Both are disabled by default, but you can enable them in the Inputs. • Risk/Reward Exit: - Uses the distance from entry to SL to project a profit target at a configurable R-multiple. - Also optional and disabled by default. These exits are implemented as `strategy.exit()` OCO orders and can close trades independently of oscillator/EMA conditions if hit first. ──────────────────────── 4. Entry & Exit logic (high level) ──────────────────────── A) Time filter • You can choose a **Start Year** in the Inputs. • Only candles between the selected start date and 31 Dec 2069 are used for backtesting (`timeCondition`). • This prevents accidental use of tiny cherry-picked windows and makes tests more honest. B) Entry condition (long-only) A long entry is allowed when ALL the following are true: 1. `timeCondition` is true (inside the backtest window). 2. If `useOscEntry` is true: - Range Oscillator value must be above `entryLevel`. 3. If `useStochEntry` is true: - Stochastic condition (`stochCondition`) must be true: - %K < `crossLevel`, then %K crosses above %D. If these filters agree, the strategy calls `strategy.entry("Long", strategy.long)`. C) Exit condition (logical exits) A position can be closed when: 1. `timeCondition` is true AND a long position is open, AND 2. At least one of the following is true: - If `useOscExit` is true: Oscillator is below `exitLevel`. - If `useMagicExit` (EMA Exit Filter) is true: EMA slope is negative (`isDown = true`). In that case, `strategy.close("Long")` is called. D) Risk-management exits While a position is open: • If SL or TP is enabled: - `strategy.exit("Long Risk", ...)` places an OCO stop/limit order based on the SL/TP percentages. • If Risk/Reward exit is enabled: - `strategy.exit("RR Exit", ...)` places an OCO order using a projected R-multiple (`rrMult`) of the SL distance. These risk-based exits can trigger before the logical oscillator/EMA exits if price hits those levels. ──────────────────────── 5. Recommended backtest configuration (to avoid misleading results) ──────────────────────── To align with TradingView House Rules and avoid misleading backtests: 1. **Initial capital** - 10 000 (or any value you personally want to work with). 2. **Order size** - Type: **Percent of equity** - Size: **1–2%** per trade is a reasonable starting point. - Avoid risking more than 5–10% per trade if you want results that could be sustainable in practice. 3. **Commission & slippage** - Commission: around 0.1% if that matches your broker. - Slippage: a few ticks (e.g. 3) to account for real fills. 4. **Timeframe & markets** - Volatile symbols (e.g. crypto like BTCUSDT, or major indices). - Timeframes: 1H / 4H / **1D (Daily)** are typical starting points. - I strongly recommend trying the strategy on **different timeframes**, for example 1D, to see how the behaviour changes between intraday and higher timeframes. 5. **No “caution warning”** - Make sure your chosen symbol + timeframe + settings do not trigger TradingView’s caution messages. - If you see warnings (e.g. “too few trades”), adjust timeframe/symbol or the backtest period. ──────────────────────── 5a. About low trade count and rare signals ──────────────────────── This strategy is intentionally designed to trade RARELY: • It is **long-only**. • It uses strict filters (Range Oscillator threshold + Stochastic confirmation + optional EMA Exit Filter). • On higher timeframes (especially **1D / Daily**) this can result in a **low total number of trades**, sometimes WELL BELOW 100 trades over the whole backtest. TradingView’s House Rules mention 100+ trades as a guideline for more robust statistics. In this specific case: • The **low trade count is a conscious design choice**, not an attempt to cherry-pick a tiny, ultra-profitable window. • The goal is to study a **small number of high-conviction long entries** on higher timeframes, not to generate frequent intraday signals. • Because of the low trade count, results should NOT be interpreted as statistically strong or “proven” – they are only one sample of how this logic would have behaved on past data. Please keep this in mind when you look at the equity curve and performance metrics. A beautiful curve with only a handful of trades is still just a small sample. ──────────────────────── 6. How to use this strategy (step-by-step) ──────────────────────── 1. Add the script to your chart. 2. Open the **Inputs** tab: - Set the backtest start year. - Decide whether to use Oscillator-based entry/exit, Stochastic confirmation, and EMA Exit Filter. - Optionally enable SL, TP, and Risk/Reward exits. 3. Open the **Properties** tab: - Set a realistic account size if you want. - Set order size to a realistic % of equity (e.g. 1–2%). - Confirm that commission and slippage are realistic for your broker. 4. Run the backtest: - Look at Net Profit, Max Drawdown, number of trades, and equity curve. - Remember that a low trade count means the statistics are not very strong. 5. Experiment: - Tweak thresholds (`entryLevel`, `exitLevel`), Stochastic settings, EMA length, and risk params. - See how the metrics and trade frequency change. 6. Forward-test: - Before using any idea in live trading, forward-test on a demo account and observe behaviour in real time. ──────────────────────── 7. Originality and usefulness (why this is more than a mashup) ──────────────────────── This script is not intended to be a random visual mashup of indicators. It is designed as a coherent, testable strategy with clear roles for each component: • Range Oscillator: - Handles mean vs. range-expansion states via an adaptive, ATR-normalized metric. • Stochastic: - Acts as a timing filter to avoid entering purely on extremes and instead waits for momentum to turn. • EMA Exit Filter: - Trend-slope-based safety net to exit when the medium-term direction changes against the position. • Risk module: - Provides practical, rule-based exits: SL, TP, and R-multiple exit, which are useful for structuring risk even if you modify the core logic. It aims to give traders a ready-made **framework to study and modify**, not a black box or “signals” product. ──────────────────────── 8. Limitations and good practices ──────────────────────── • No single strategy works on all markets or in all regimes. • This script is long-only; it does not short the market. • Performance can degrade when market structure changes. • Overfitting (curve fitting) is a real risk if you endlessly tweak parameters to maximise historical profit. Good practices: - Test on multiple symbols and timeframes. - Focus on stability and drawdown, not only on how high the profit line goes. - View this as a learning tool and a basis for your own research. ──────────────────────── 9. Licensing and credits ──────────────────────── • Core oscillator idea & base code: - “Range Oscillator (Zeiierman)” - © Zeiierman, licensed under CC BY-NC-SA 4.0. • Strategy logic, Stochastic confirmation, EMA Exit Filter, and risk-management layer: - Modifications by jokiniemi. Please respect both the original license and TradingView House Rules if you fork or republish any part of this script. ──────────────────────── 10. No payments / no vendor pitch ──────────────────────── • This script is completely FREE to use on TradingView. • There is no paid subscription, no external payment link, and no private signals group attached to it. • If you have questions, please use TradingView’s comment system or private messages instead of expecting financial advice. Use this script as a tool to learn, experiment, and build your own understanding of markets. ──────────────────────── 11. Example backtest settings used in screenshots ──────────────────────── To avoid any confusion about how the results shown in screenshots were produced, here is one concrete example configuration: • Symbol: BTCUSDT (or similar major BTC pair) • Timeframe: 1D (Daily) • Backtest period: from 2018 to the most recent data • Initial capital: 10 000 • Order size type: Percent of equity • Order size: 2% per trade • Commission: 0.1% • Slippage: 3 ticks • Risk settings: Stop Loss and Take Profit disabled by default, Risk/Reward exit disabled by default • Filters: Range Oscillator entry/exit enabled, Stochastic confirmation enabled, EMA Exit Filter enabled If you change any of these settings (symbol, timeframe, risk per trade, commission, slippage, filters, etc.), your results will look different. Please always adapt the configuration to your own risk tolerance, market, and trading style.
Pine Script®策略
由jokiniemi提供
TraderDemircan Auto Fibonacci RetracementDescription: What This Indicator Does:This indicator automatically identifies significant swing high and swing low points within a customizable lookback period and draws comprehensive Fibonacci retracement and extension levels between them. Unlike the manual Fibonacci tool that requires you to constantly redraw levels as price action evolves, this automated version continuously updates the Fibonacci grid based on the most recent major swing points, ensuring you always have current and relevant support/resistance zones displayed on your chart.Key Features: Automatic Swing Detection: Continuously scans the specified lookback period to find the most significant high and low points, eliminating manual drawing errors Comprehensive Level Coverage: Plots 16 Fibonacci levels including 7 retracement levels (0.0 to 1.0) and 9 extension levels (1.115 to 3.618) Top-Down Methodology: Draws from swing high to swing low (right-to-left), following the traditional Fibonacci retracement convention where 100% is at the top Dual Labeling System: Shows both exact price values and Fibonacci percentages for easy reference Complete Customization: Individual toggle controls and color selection for each of the 16 levels Flexible Display Options: Adjust line thickness (1-5), style (solid/dashed/dotted), and extension direction (left/right/both) Visual Swing Markers: Red diamond at the swing high (starting point) and green diamond at the swing low (ending point) Optional Trend Line: Connects the two swing points to visualize the overall price movement direction How It Works:The indicator employs a sophisticated swing point detection algorithm that operates in two stages:Stage 1 - Find the Swing Low (Support Base): Scans the entire lookback period to identify the lowest low, which becomes the anchor point (0.0 level in traditional retracement terms, though displayed at the bottom of the grid).Stage 2 - Find the Swing High (Resistance Peak): After identifying the swing low, searches for the highest high that occurred after that low point, establishing the swing range. This creates a valid price movement range for Fibonacci analysis.Fibonacci Calculation Method: The indicator uses the top-down approach where: 1.0 Level = Swing High (100% retracement, the top) 0.0 Level = Swing Low (0% retracement, the bottom) Retracement Levels (0.236 to 0.786) = Potential support zones during pullbacks from the high Extension Levels (1.115 to 3.618) = Potential target zones below the swing low Formula: Price = SwingHigh - (SwingHigh - SwingLow) × FibonacciLevelThis ensures that 0.0 is at the bottom and extensions (>1.0) plot below the swing low, following standard Fibonacci retracement convention.Fibonacci Levels Explained:Retracement Levels (0.0 - 1.0): 0.0 (Gray): Swing low - the base support level 0.236 (Red): Shallow retracement, first minor support 0.382 (Orange): Moderate retracement, commonly watched support 0.5 (Purple): Psychological midpoint, significant support/resistance 0.618 (Blue - Golden Ratio): The most important retracement level, high-probability reversal zone 0.786 (Cyan): Deep retracement, last defense before full reversal 1.0 (Gray): Swing high - the initial resistance level Extension Levels (1.115 - 3.618): 1.115 (Green): First extension, minimal downside target 1.272 (Light Green): Minor extension, common profit target 1.414 (Yellow-Green): Square root of 2, mathematical significance 1.618 (Gold - Golden Extension): Primary downside target, most watched extension level 2.0 (Orange-Red): 200% extension, psychological round number 2.382 (Pink): Secondary extension target 2.618 (Purple): Deep extension, major target zone 3.272 (Deep Purple): Extreme extension level 3.618 (Blue): Maximum extension, rare but powerful target How to Use:For Retracement Trading (Buying Pullbacks in Uptrends): Wait for price to make a significant move up from swing low to swing high When price starts pulling back, watch for reactions at key Fibonacci levels Most common entry zones: 0.382, 0.5, and especially 0.618 (golden ratio) Enter long positions when price shows reversal signals (candlestick patterns, volume increase) at these levels Place stop loss below the next Fibonacci level Target: Return to swing high or higher extension levels For Extension Trading (Profit Targets): After price breaks below the swing low (0.0 level), use extensions as profit targets First target: 1.272 (conservative) Primary target: 1.618 (golden extension - most commonly reached) Extended target: 2.618 (for strong trends) Extreme target: 3.618 (only in powerful trending moves) For Counter-Trend Trading (Fading Extremes): When price reaches deep retracements (0.786 or below), look for exhaustion signals Watch for divergences between price and momentum indicators at these levels Enter reversal trades with tight stops below the swing low Target: 0.5 or 0.382 levels on the bounce For Trend Continuation: In strong uptrends, shallow retracements (0.236 to 0.382) often hold Use these as low-risk entry points to join the existing trend Failure to hold 0.5 suggests weakening momentum Breaking below 0.618 often indicates trend reversal, not just retracement Multi-Timeframe Strategy: Use daily timeframe Fibonacci for major support/resistance zones Use 4H or 1H Fibonacci for precise entry timing within those zones Confluence between multiple timeframe Fibonacci levels creates high-probability zones Example: Daily 0.618 level aligning with 4H 0.5 level = strong support Settings Guide:Lookback Period (10-500): Short (20-50): Captures recent swings, more frequent updates, suited for day trading Medium (50-150): Balanced approach, good for swing trading (default: 100) Long (150-500): Identifies major market structure, suited for position trading Higher values = more stable levels but slower to adapt to new trends Pivot Sensitivity (1-20): Controls how many candles are required to confirm a swing point Low (1-5): More sensitive, identifies minor swings (default: 5) High (10-20): Less sensitive, only major swings qualify Use higher sensitivity on lower timeframes to filter noise Individual Level Toggles: Enable only the levels you actively trade to reduce chart clutter Common minimalist setup: Show only 0.382, 0.5, 0.618, 1.0, 1.618, 2.618 Comprehensive setup: Enable all levels for maximum information Visual Customization: Line Thickness: Thicker lines (3-5) for presentation, thinner (1-2) for trading Line Style: Solid for primary levels (0.5, 0.618, 1.618), dashed/dotted for secondary Price Labels: Essential for knowing exact entry/exit prices Percent Labels: Helpful for quickly identifying which Fibonacci level you're looking at Extension Direction: Extend right for forward-looking analysis, left for historical context What Makes This Original:While Fibonacci indicators are common on TradingView, this script's originality comes from: Intelligent Two-Stage Detection: Unlike simple high/low finders, this uses a sequential approach (find low first, then find the high that occurred after it), ensuring logical price flow representation Comprehensive Level Set: Includes 16 levels spanning from retracement to extreme extensions, more than most Fibonacci tools Top-Down Methodology: Properly implements the traditional Fibonacci retracement convention (high to low) rather than the reverse Automatic Range Validation: Only draws Fibonacci when both swing points are valid and in the correct temporal order Dual Extension Options: Separate controls for extending lines left (historical context) and right (forward projection) Smart Label Positioning: Places percentage labels on the left and price labels on the right for clarity Visual Swing Confirmation: Diamond markers at swing points help users understand why levels are positioned where they are Important Considerations: Historical Nature: Fibonacci retracements are based on past price swings; they don't predict future moves, only suggest potential support/resistance Self-Fulfilling Prophecy: Fibonacci levels work partly because many traders watch them, creating actual support/resistance at those levels Not All Levels Hold: In strong trends, price may slice through multiple Fibonacci levels without pausing Context Matters: Fibonacci works best when aligned with other support/resistance (previous highs/lows, moving averages, trendlines) Volume Confirmation: The most reliable Fibonacci reversals occur with volume spikes at key levels Dynamic Updates: The levels will redraw as new swing highs/lows form, so don't rely solely on static screenshots Best Practices: Don't Trade Blindly: Fibonacci levels are zones, not exact prices. Look for confirmation (candlestick patterns, indicators, volume) Combine with Price Action: Watch for pin bars, engulfing candles, or doji at key Fibonacci levels Use Stop Losses: Place stops beyond the next Fibonacci level to give trades room but limit risk Scale In/Out: Consider entering partial positions at 0.5 and adding more at 0.618 rather than all-in at one level Check Multiple Timeframes: Daily Fibonacci + 4H Fibonacci convergence = high-probability zone Respect the 0.618: This golden ratio level is historically the most reliable for reversals Extensions Need Strong Trends: Don't expect extensions to be hit unless there's clear momentum beyond the swing low Optimal Timeframes: Scalping (1-5 minutes): Lookback 20-30, watch 0.382, 0.5, 0.618 only Day Trading (15m-1H): Lookback 50-100, all retracement levels important Swing Trading (4H-Daily): Lookback 100-200, focus on 0.5, 0.618, 0.786, and extensions Position Trading (Daily-Weekly): Lookback 200-500, all levels relevant for long-term planning Common Fibonacci Trading Mistakes to Avoid: Wrong Swing Selection: Choosing insignificant swings produces meaningless levels Premature Entry: Entering as soon as price touches a Fibonacci level without confirmation Ignoring Trend: Fighting the main trend by buying deep retracements in downtrends Over-Reliance: Using Fibonacci in isolation without confirming with other technical factors Static Analysis: Not updating your Fibonacci as market structure evolves Arbitrary Lookback: Using the same lookback period for all assets and timeframes Integration with Other Tools:Fibonacci + Moving Averages: When 0.618 level aligns with 50 or 200 EMA, confluence creates stronger support Price bouncing from both Fibonacci and MA simultaneously = high-probability trade Fibonacci + RSI/Stochastic: Oversold indicators at 0.618 or deeper retracements = strong buy signal Overbought indicators at swing high (1.0) = potential reversal warning Fibonacci + Volume Profile: High-volume nodes aligning with Fibonacci levels create robust support/resistance Low-volume areas near Fibonacci levels may see rapid price movement through them Fibonacci + Trendlines: Fibonacci retracement level + ascending trendline = double support Breaking both simultaneously confirms trend change Technical Notes: Uses ta.lowest() and ta.highest() for efficient swing detection across the lookback period Implements dynamic line and label arrays for clean redraws without memory leaks All calculations update in real-time as new bars form Extension options allow customization without modifying core code Format.mintick ensures price labels match the symbol's minimum price increment Tooltip on swing markers shows exact price values for precision
Pine Script®指标
由TraderDemircan_提供