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Order Flow Hawkes Process [ScorsoneEnterprises]This indicator is an implementation of the Hawkes Process. This tool is designed to show the excitability of the different sides of volume, it is an estimation of bid and ask size per bar. The code for the volume delta is from www.tradingview.com Here’s a link to a more sophisticated research article about Hawkes Process than this post arxiv.org This tool is designed to show how excitable the different sides are. Excitability refers to how likely that side is to get more activity. Alan Hawkes made Hawkes Process for seismology. A big earthquake happens, lots of little ones follow until it returns to normal. Same for financial markets, big orders come in, causing a lot of little orders to come. Alpha, Beta, and Lambda parameters are estimated by minimizing a negative log likelihood function. How it works There are a few components to this script, so we’ll go into the equation and then the other functions used in this script. hawkes_process(params, events, lkb) => alpha = clamp(array.get(params, 0), 0.01, 1.0) beta = clamp(array.get(params, 1), 0.1, 10.0) lambda_0 = clamp(array.get(params, 2), 0.01, 0.3) intensity = array.new_float(lkb, 0.0) events_array = array.new_float(lkb, 0.0) for i = 0 to lkb - 1 array.set(events_array, i, array.get(events, i)) for i = 0 to lkb - 1 sum_decay = 0.0 current_event = array.get(events_array, i) for j = 0 to i - 1 time_diff = i - j past_event = array.get(events_array, j) decay = math.exp(-beta * time_diff) past_event_val = na(past_event) ? 0 : past_event sum_decay := sum_decay + (past_event_val * decay) array.set(intensity, i, lambda_0 + alpha * sum_decay) intensity The parameters alpha, beta, and lambda all represent a different real thing. Alpha (α): Definition: Alpha represents the excitation factor or the magnitude of the influence that past events have on the future intensity of the process. In simpler terms, it measures how much each event "excites" or triggers additional events. It is constrained between 0.01 and 1.0 (e.g., clamp(array.get(params, 0), 0.01, 1.0)). A higher alpha means past events have a stronger influence on increasing the intensity (likelihood) of future events. Initial value is set to 0.1 in init_params. In the hawkes_process function, alpha scales the contribution of past events to the current intensity via the term alpha * sum_decay. Beta (β): Definition: Beta controls the rate of exponential decay of the influence of past events over time. It determines how quickly the effect of a past event fades away. It is constrained between 0.1 and 10.0 (e.g., clamp(array.get(params, 1), 0.1, 10.0)). A higher beta means the influence of past events decays faster, while a lower beta means the influence lingers longer. Initial value is set to 0.1 in init_params. In the hawkes_process function, beta appears in the decay term math.exp(-beta * time_diff), which reduces the impact of past events as the time difference (time_diff) increases. Lambda_0 (λ₀): Definition: Lambda_0 is the baseline intensity of the process, representing the rate at which events occur in the absence of any excitation from past events. It’s the "background" rate of the process. It is constrained between 0.01 and 0.3 .A higher lambda_0 means a higher natural frequency of events, even without the influence of past events. Initial value is set to 0.1 in init_params. In the hawkes_process function, lambda_0 sets the minimum intensity level, to which the excitation term (alpha * sum_decay) is added: lambda_0 + alpha * sum_decay Alpha (α): Strength of event excitation (how much past events boost future events). Beta (β): Rate of decay of past event influence (how fast the effect fades). Lambda_0 (λ₀): Baseline event rate (background intensity without excitation). Other parts of the script. Clamp The clamping function is a simple way to make sure parameters don’t grow or shrink too much. ObjectiveFunction This function defines the objective function (negative log-likelihood) to minimize during parameter optimization.It returns a float representing the negative log-likelihood (to be minimized). How It Works: Calls hawkes_process to compute the intensity array based on current parameters.Iterates over the lookback period:lambda_t: Intensity at time i.event: Event magnitude at time i.Handles na values by replacing them with 0.Computes log-likelihood: event_clean * math.log(math.max(lambda_t_clean, 0.001)) - lambda_t_clean.Ensures lambda_t_clean is at least 0.001 to avoid log(0).Accumulates into log_likelihood.Returns -log_likelihood (negative because the goal is to minimize, not maximize). It is used in the optimization process to evaluate how well the parameters fit the observed event data. Finite Difference Gradient: This function calculates the gradient of the objective function we spoke about. The gradient is like a directional derivative. Which is like the direction of the rate of change. Which is like the direction of the slope of a hill, we can go up or down a hill. It nudges around the parameter, and calculates the derivative of the parameter. The array of these nudged around parameters is what is returned after they are optimized. Minimize: This is the function that actually has the loop and calls the Finite Difference Gradient each time. Here is where the minimizing happens, how we go down the hill. If we are below a tolerance, we are at the bottom of the hill. Applied After an initial guess the parameters are optimized with a mix of bid and ask levels to prevent some over-fitting for each side while keeping some efficiency. We initialize two different arrays to store the bid and ask sizes. After we optimize the parameters we clamp them for the calculations. We then get the array of intensities from the Hawkes Process of bid and ask and plot them both. When the bids are greater than the ask it represents a bullish scenario where there are likely to be more buy than sell orders, pushing up price. Tool examples: The idea is that when the bid side is more excitable it is more likely to see a bullish reaction, when the ask is we see a bearish reaction. We see that there are a lot of crossovers, and I picked two specific spots. The idea of this isn’t to spot crossovers but avoid chop. The values are either close together or far apart. When they are far, it is a classification for us to look for our own opportunities in, when they are close, it signals the market can’t pick a direction just yet. The value works just as well on a higher timeframe as on a lower one. Hawkes Process is an estimate, so there is a leading value aspect of it. The value works on equities as well, here is NASDAQ:TSLA on a lower time frame with a lookback of 5. Inputs Users can enter the lookback value and timeframe. No tool is perfect, the Hawkes Process value is also not perfect and should not be followed blindly. It is good to use any tool along with discretion and price action.
Pine Script® göstergesi
ScorsoneEnterprises tarafından
Smarter Money Concepts - OBs [PhenLabs]📊 Smarter Money Concepts - OBs Version: PineScript™ v6 📌 Description Smarter Money Concepts - OBs (Order Blocks) is an advanced technical analysis tool designed to identify and visualize institutional order zones on your charts. Order blocks represent significant areas of liquidity where smart money has entered positions before major moves. By tracking these zones, traders can anticipate potential reversals, continuations, and key reaction points in price action. This indicator incorporates volume filtering technology to identify only the most significant order blocks, eliminating low-quality signals and focusing on areas where institutional participation is likely present. The combination of price structure analysis and volume confirmation provides traders with high-probability zones that may attract future price action for tests, rejections, or breakouts. 🚀 Points of Innovation Volume-Filtered Block Detection : Identifies only order blocks formed with significant volume, focusing on areas with institutional participation Advanced Break of Structure Logic : Uses sophisticated price action analysis to detect legitimate market structure breaks preceding order blocks Dynamic Block Management : Intelligently tracks, extends, and removes order blocks based on price interaction and time-based expiration Structure Recognition System : Employs technical analysis algorithms to find significant swing points for accurate order block identification Dual Directional Tracking : Simultaneously monitors both bullish and bearish order blocks for comprehensive market structure analysis 🔧 Core Components Order Block Detection : Identifies institutional entry zones by analyzing price action before significant breaks of structure, capturing where smart money has likely positioned before moves. Volume Filtering Algorithm : Calculates relative volume compared to a moving average to qualify only order blocks formed with significant market participation, eliminating noise. Structure Break Recognition : Uses price action analysis to detect legitimate breaks of market structure, ensuring order blocks are identified only at significant market turning points. Dynamic Block Management : Continuously monitors price interaction with existing blocks, extending, maintaining, or removing them based on current market behavior. 🔥 Key Features Volume-Based Filtering : Filter out insignificant blocks by requiring a minimum volume threshold, focusing only on zones with likely institutional activity Visual Block Highlighting : Color-coded boxes clearly mark bullish and bearish order blocks with customizable appearance Flexible Mitigation Options : Choose between “Wick” or “Close” methods for determining when a block has been tested or mitigated Scan Range Adjustment : Customize how far back the indicator looks for structure points to adapt to different market conditions and timeframes Break Source Selection : Configure which price component (close, open, high, low) is used to determine structure breaks for precise block identification 🎨 Visualization Bullish Order Blocks : Blue-colored rectangles highlighting zones where bullish institutional orders were likely placed before upward moves, representing potential support areas. Bearish Order Blocks : Red-colored rectangles highlighting zones where bearish institutional orders were likely placed before downward moves, representing potential resistance areas. Block Extension : Order blocks extend to the right of the chart, providing clear visualization of these significant zones as price continues to develop. 📖 Usage Guidelines Order Block Settings Scan Range : Default: 25. Defines how many bars the indicator scans to determine significant structure points for order block identification. Bull Break Price Source : Default: Close. Determines which price component is used to detect bullish breaks of structure. Bear Break Price Source : Default: Close. Determines which price component is used to detect bearish breaks of structure. Visual Settings Bullish Blocks Color : Default: Blue with 85% transparency. Controls the appearance of bullish order blocks. Bearish Blocks Color : Default: Red with 85% transparency. Controls the appearance of bearish order blocks. General Options Block Mitigation Method : Default: Wick, Options: Wick, Close. Determines how block mitigation is calculated - “Wick” uses high/low values while “Close” uses close values for more conservative mitigation criteria. Remove Filled Blocks : Default: Disabled. When enabled, order blocks are removed once they’ve been mitigated by price action. Volume Filter Volume Filter Enabled : Default: Enabled. When activated, only shows order blocks formed with significant volume relative to recent average. Volume SMA Period : Default: 15, Range: 1-50. Number of periods used to calculate the average volume baseline. Min. Volume Ratio : Default: 1.5, Range: 0.5-10.0. Minimum volume ratio compared to average required to display an order block; higher values filter out more blocks. ✅ Best Use Cases Identifying high-probability support and resistance zones for trade entries and exits Finding optimal stop-loss placement behind significant order blocks Detecting potential reversal areas where price may react after extended moves Confirming breakout trades when price clears major order blocks Building a comprehensive market structure map for medium to long-term trading decisions Pinpointing areas where smart money may have positioned before major market moves ⚠️ Limitations Most effective on higher timeframes (1H and above) where institutional activity is more clearly defined Can generate multiple signals in choppy market conditions, requiring additional filtering Volume filtering relies on accurate volume data, which may be less reliable for some securities Recent market structure changes may invalidate older order blocks not yet automatically removed Block identification is based on historical price action and may not predict future behavior with certainty 💡 What Makes This Unique Volume Intelligence : Unlike basic order block indicators, this script incorporates volume analysis to identify only the most significant institutional zones, focusing on quality over quantity. Structural Precision : Uses sophisticated break of structure algorithms to identify true market turning points, going beyond simple price pattern recognition. Dynamic Block Management : Implements automatic block tracking, extension, and cleanup to maintain a clean and relevant chart display without manual intervention. Institutional Focus : Designed specifically to highlight areas where smart money has likely positioned, helping retail traders align with institutional perspectives rather than retail noise. 🔬 How It Works 1. Structure Identification Process : The indicator continuously scans price action to identify significant swing points and structure levels within the specified range, establishing a foundation for order block recognition. 2. Break Detection : When price breaks an established structure level (crossing below a significant low for bearish breaks or above a significant high for bullish breaks), the indicator marks this as a potential zone for order block formation. 3. Volume Qualification : For each potential order block, the algorithm calculates the relative volume compared to the configured period average. Only blocks formed with volume exceeding the minimum ratio threshold are displayed. 4. Block Creation and Management : Valid order blocks are created, tracked, and managed as price continues to develop. Blocks extend to the right of the chart until they are either mitigated by price action or expire after the designated timeframe. 5. Continuous Monitoring : The indicator constantly evaluates price interaction with existing blocks, determining when blocks have been tested, mitigated, or invalidated, and updates the visual representation accordingly. 💡 Note: Order Blocks represent areas where institutional traders have likely established positions and may defend these zones during future price visits. For optimal results, use this indicator in conjunction with other confluent factors such as key support/resistance levels, trendlines, or additional confirmation indicators. The most reliable signals typically occur on higher timeframes where institutional activity is most prominent. Start with the default settings and adjust parameters gradually to match your specific trading instrument and style.
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PhenLabs tarafından
OHCL HTF Trend Levels🚀 OHCL HTF Trend Levels — Master the Market’s Hidden Currents Crafted by @TIMELESS1_ | 🔍 Overview Tired of chasing candles and second-guessing trends? Step into a new level of clarity with OHCL HTF Trend Levels — a smart, adaptive trend-mapping indicator that extracts powerful insight from higher-timeframe OHCL data and projects it with precision onto your lower-timeframe chart.. Whether you’re a scalper looking for sniper entries or a swing trader who lives by the HTF narrative, this tool gives you a strategic edge by aligning your trades with the true direction of momentum. 🎯 What This Script Does 🔹 HTF Trend Zones: Automatically identifies bullish and bearish continuations using higher-timeframe Open, High, Close, and Low values — and plots key levels where price shows true directional intent. 🔹 Session-Aware Logic: Resets and recalculates trend state daily (or based on your chosen HTF), ensuring fresh, relevant signals that don’t lag or drift. 🔹 Dynamic Trend Detection: Tracks when price breaks beyond the previous session’s highs or lows with sustained momentum — then confirms the trend with multi-condition validation. If a breakout fails? It smartly invalidates the trend and keeps your chart clean. 🔹 Real-Time EMA with Color Coding: An adaptive EMA plotted directly on your chart, with dynamic color changes based on trend direction — bullish, bearish, or neutral — for instant visual feedback. 🔹 Customizable Buy/Sell Signals: Optional, clean Buy/Sell labels are printed when trend shifts are confirmed, helping you catch pivots early without cluttering your view. 🔹 Take Profit Flags (Optional): When a trend neutralizes, the script can print "TP" flags to let you know it's time to secure profits or prepare for a potential reversal. 🎨 Fully Customizable 🛠️ Calculation Timeframe (HTF): Set your own higher timeframe (e.g., 4H, 1D, 1W) for OHCL analysis. 🖍️ Color & Style Settings: Choose your colors for bullish, bearish, and neutral states — customize line width, signal label styles, and text. 📏 Baseline Length Control: Adjust how far horizontal trend levels extend into the future. 📡 Signal Toggle: Turn Buy/Sell and TP labels on/off to suit your strategy or visual preference. 📊 Use Cases ✅ Intraday Traders: See where the daily momentum is breaking, even on a 15-minute chart. ✅ Swing Traders: Align lower-timeframe entries with daily or weekly breakouts. ✅ Trend Followers: Ride clean, confirmed moves without second-guessing false starts. ✅ Price Action Purists: Strip away noise and trade based on clean levels and raw momentum. ✅ Scalpers: Use trend shifts for laser-sharp entry zones backed by HTF context. 🌐 Why It Works Most indicators are reactive — they lag behind price and fail to show the broader context. This script flips that dynamic by borrowing the strength of higher timeframes and compressing it into real-time insights. Instead of drawing lines manually or guessing trend direction, you get: Visual breakout levels with built-in validation Instant awareness of when a trend starts, continues, or fails A clearer roadmap for entries, exits, and key price zones 📌 Final Thoughts This isn’t just another indicator — it’s a framework for disciplined trading. It encourages patience, precision, and perspective. With a visual layout that respects your screen space and logic rooted in true price action, OHCL HTF Trend Levels brings serious firepower to any strategy. Whether you’re day trading volatility or riding macro swings, this script gives you the structure you need and the simplicity you want. 💬 Drop it on your chart. Let the levels guide you. Trade with purpose. Trend smarter. Trade harder. Stay timeless. ✊📈
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TIMELESS1_ tarafından
3
False Breakout PRO📌 False Breakout PRO – Enhanced False Breakout Detection Tool False Breakout PRO is an advanced version of the original "False Breakout (Expo)" indicator by . This tool is designed to help traders detect bullish and bearish false breakouts with high precision. By offering a more customizable and smarter interface, it helps reduce noise and false signals through various filtering and visualization options. 🔍 How It Works The script continuously scans for new highs or lows based on a user-defined period. It identifies false breakouts when price briefly breaks out of a recent high/low but then quickly reverses. These are often seen as market traps, and this indicator aims to highlight them early. ✅ Key Features in the PRO Version 📌 Toggle to display all signals or only the most recent one 💬 Price labels with clean text and optional visibility 📊 Smart summary table for instant signal reference 📈 Auto-extended lines that follow price action ⚡ Lightweight and optimized for speed and real-time responsiveness 🛠 Configurable Settings False breakout detection period Signal validity window (how long a signal is considered active) Smoothing types: Raw (💎), WMA, or HMA Aggressive mode for early signal generation Enable or disable: Price labels Summary table Only latest signal mode ⚠️ License Notice This script is derived from @Zeiierman’s original work and is published under the Creative Commons BY-NC-SA 4.0 license. 🔒 Commercial use is NOT allowed. Attribution to the original author is required. 🇸🇦 False Breakout PRO – أداة متقدمة لكشف الكسر الكاذب False Breakout PRO هو إصدار مطور من السكريبت الأصلي "False Breakout (Expo)" من تطوير ، وتم تحسينه لتقديم تجربة استخدام أكثر احترافية ومرونة للمستخدمين للكشف عن الكسر الكاذب 🔍 آلية العمل يقوم السكريبت بمراقبة القمم والقيعان الجديدة بناءً على فترة يتم تحديدها من قبل المستخدم. ثم يحدد الكسر الكاذب عندما يكسر السعر مستوى مرتفعًا أو منخفضًا ثم يعود بسرعة. هذه الحركة غالبًا ما تكون خداعًا للمضاربين، ويقوم المؤشر بكشفها مبكرًا. ✅ أهم ميزات النسخة PRO 📌 التبديل بين عرض جميع الإشارات أو أحدث إشارة فقط 💬 عرض سعر الإشارة بنص نظيف واختياري 📊 جدول ملخص ذكي لعرض آخر الإشارات بسرعة 📈 تمديد تلقائي للخطوط لمتابعة حركة السعر ⚡ واجهة خفيفة وسريعة ومناسبة للعرض اللحظي 🛠 الإعدادات القابلة للتعديل فترة تحديد الكسر الكاذب مدة صلاحية الإشارة أنواع الفلترة: 💎 خام، WMA، أو HMA وضع الكشف العدواني (Aggressive) خيارات العرض: إظهار أو إخفاء السعر إظهار أو إخفاء الجدول عرض آخر إشارة فقط ⚠️ رخصة الاستخدام تم تطوير هذا السكريبت بالاعتماد على السكريبت الأصلي من @Zeiierman وهو مرخص بموجب Creative Commons BY-NC-SA 4.0 🔒 الاستخدام التجاري غير مسموح. ويجب نسب الفضل للمطور الأصلي.
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tarekshaker1690 tarafından
Pullback Entry Zone FinderPullback Entry Zone Finder Overview: This indicator is designed to help traders identify potential buying opportunities during short-term pullbacks, particularly when faster-moving averages show signs of converging back towards slower ones. It visually flags potential zones where price might find support and resume its upward movement, based on moving average dynamics and price proximity. How It Works: The indicator utilizes four customizable moving averages (Trigger, Short-term, Intermediate, and Long-term) and Average True Range (ATR) to pinpoint specific conditions: Pullback Detection: It identifies when the fast 'Trigger MA' is below the 'Short-term MA', indicating a potential short-term pullback or consolidation phase. MA Convergence: Crucially, it looks for signs that the pullback might be weakening by detecting when the gap between the Short-term MA and the Trigger MA is narrowing (maConverging). This suggests the faster average is starting to catch up, potentially preceding a move back up. Base Buy Zone (Orange Diamond): This signal appears when both the Pullback and Convergence conditions are met simultaneously. It indicates the general area where conditions are becoming favourable for a potential entry. Refined Entry Zones: Prime Entry Zone (Green Diamond): This appears within a Base Buy Zone if the bar's low comes within a specified percentage (Max Distance %) of the Short-term MA. It suggests price has pulled back close to the dynamic support of the Short MA. ATR Entry Zone (Purple Diamond): This appears within a Base Buy Zone if the bar's low comes within the specified percentage (Max Distance %) of an ATR-based target level. This target level (Buy ATR Target Level, plotted as a purple line when active) is calculated by adding a multiple (ATR Multiplier %) of the ATR to the Short-term MA, providing a volatility-adjusted potential entry area. Visual Elements: Moving Averages: Four lines representing the Trigger, Short-term, Intermediate, and Long-term MAs (colors and opacity are customizable). Use the Intermediate and Long-term MAs to gauge the broader market trend. Orange Diamond (Below Bar): Indicates a 'Base Buy Zone' where a pullback and MA convergence are detected. Green Diamond (Below Bar): Indicates a 'Prime Entry Zone' where price is close to the Short-term MA during a Base Buy Zone. Purple Diamond (Below Bar): Indicates an 'ATR Entry Zone' where price is close to the ATR-based target level during a Base Buy Zone. Purple Line: Plots the calculated 'Buy ATR Target Level' only when the Base Buy Zone condition is active. Input Parameters: Moving Averages: Customize the Length and Type (EMA, SMA, WMA, VWMA) for all four moving averages. ATR Settings: Adjust the ATR Length, the ATR Multiplier % (for calculating the target level), and the Max Distance % (for triggering the Prime and ATR Entry Zones). Visualization: Set the colors for the four Moving Average lines. How to Use: Look for the Orange Diamond as the initial signal that pullback/convergence conditions are met. The Green and Purple Diamonds suggest price has reached potentially more optimal entry levels within that zone, based on proximity to the Short MA or the ATR target, respectively. Always consider the signals within the context of the broader trend, indicated by the Intermediate and Long-term MAs. This indicator is generally more effective when used to find entries during pullbacks within an established uptrend (e.g., Intermediate MA > Long MA). Combine these signals with other forms of analysis, such as chart patterns, support/resistance levels, volume analysis, or other indicators for confirmation. Disclaimer: You should always use proper risk management techniques and conduct your own analysis before making any trading decisions. This indicator, or any other, will be of no use if you don't have good risk management.
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Ashishshetty86 tarafından
Fibonacci Levels with SMA SignalsThis strategy leverages Fibonacci retracement levels along with the 100-period and 200-period Simple Moving Averages (SMAs) to generate robust entry and exit signals for long-term swing trades, particularly on the daily timeframe. The combination of Fibonacci levels and SMAs provides a powerful way to capitalize on major trend reversals and market retracements, especially in stocks and major crypto assets. The core of this strategy involves calculating key Fibonacci retracement levels (23.6%, 38.2%, 61.8%, and 78.6%) based on the highest high and lowest low over a 365-day lookback period. These Fibonacci levels act as potential support and resistance zones, indicating areas where price may retrace before continuing its trend. The 100-period SMA and 200-period SMA are used to define the broader market trend, with the strategy favoring uptrend conditions for buying and downtrend conditions for selling. This indicator highlights high-probability zones for long or short swing setups based on Fibonacci retracements and the broader trend, using the 100 and 200 SMAs. In addition, this strategy integrates alert conditions to notify the trader when these key conditions are met, providing real-time notifications for optimal entry and exit points. These alerts ensure that the trader does not miss significant trade opportunities. Key Features: Fibonacci Retracement Levels: The Fibonacci levels provide natural price zones that traders often watch for potential reversals, making them highly relevant in the context of swing trading. 100 and 200 SMAs: These moving averages help define the overall market trend, ensuring that the strategy operates in line with broader price action. Buy and Sell Signals: The strategy generates buy signals when the price is above the 200 SMA and retraces to the 61.8% Fibonacci level. Sell signals are triggered when the price is below the 200 SMA and retraces to the 38.2% Fibonacci level. Alert Conditions: The alert conditions notify traders when the price is at the key Fibonacci levels in the context of an uptrend or downtrend, allowing for efficient monitoring of trade opportunities. Application: This strategy is ideal for long-term swing trades in both stocks and major cryptocurrencies (such as BTC and ETH), particularly on the daily timeframe. The daily timeframe allows for capturing broader, more sustained trends, making it suitable for identifying high-quality entries and exits. By using the 100 and 200 SMAs, the strategy filters out noise and focuses on larger, more meaningful trends, which is especially useful for longer-term positions. This script is optimized for swing traders looking to capitalize on retracements and trends in markets like stocks and crypto. By combining Fibonacci levels with SMAs, the strategy ensures that traders are not only entering at optimal levels but also trading in the direction of the prevailing trend.
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monkrs tarafından
2
Multi-Timeframe Price LevelsThis indicator displays key price levels from multiple timeframes on your chart, helping you identify important support and resistance zones. ## Features - **Multiple Timeframes**: View price levels from 4H, Daily, 3-Day, Weekly, and Monthly charts simultaneously - **Customizable Price Types**: Choose to display Open, Close, High, and Low prices - **Color-Coded**: Each timeframe has its own color for easy identification - **Fully Customizable**: Enable/disable specific timeframes and price types as needed ## How to Use 1. Add the indicator to your chart 2. Use the input options to select which timeframes and price types you want to display 3. Look for areas where multiple price levels converge - these often act as strong support/resistance zones ## Color Guide - **Red**: 4-Hour timeframe - **Blue**: Daily timeframe - **Green**: 3-Day timeframe - **Purple**: Weekly timeframe - **Orange**: Monthly timeframe For each timeframe, the transparency varies by price type: - Open: 70% transparency - Close: 50% transparency - High: 30% transparency - Low: 10% transparency (most visible) ## Trading Applications - Identify key support and resistance levels - Spot multi-timeframe confluences for stronger trade setups - Plan entries and exits based on historical price reactions - Set stop losses and take profit targets at significant levels This indicator works best when combined with your existing trading strategy to confirm important price zones.
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AAAAAA2020 tarafından
Previous Candle Range Split into ThirdsThis script plots two horizontal lines over the previous candle to divide its total range (high to low) into three equal parts. The first line marks 33% of the range from the low, and the second marks 66%. This helps users visually identify whether the previous candle closed in the lower, middle, or upper third of its range, providing context on potential buyer or seller dominance during that session. Users can customize the color, width, and style (solid, dotted, dashed) of each line, as well as toggle their visibility from the script's input settings. This indicator is designed as a discretionary analysis tool and does not generate buy or sell signals.
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Yesid_Correa_Cano tarafından
Custom Daily % Levels Table📘 Indicator Description "Custom Daily % Levels – table" is a dynamic and customizable tool designed to help traders visualize daily percentage-based price ranges and key metrics in a compact, table-style format. 🧩 Key Features: 📐 Custom Percent Levels: Automatically calculates upper and lower price levels based on a user-defined base percentage and number of levels, relative to the previous daily close. 🟢🔴 Color Gradient Highlighting: Positive levels are shown with a green gradient, negative levels with red, and the level labels with a neutral tone for easy reference. 📊 Live Asset Info: Displays the current symbol, percentage change from the previous daily close, and 14-period RSI, all color-coded for quick interpretation. ⚙️ Header Control: Toggle the visibility of the main info headers and level headers independently. 📌 Position Customization: Choose where the table appears on your chart (top/bottom, left/right, center). 📈 Clean Layout: Makes it easy to visually track price movement relative to daily expected ranges. This indicator is especially useful for intraday traders, scalpers, or anyone needing a clear visual of short-term price expansion and contraction based on predefined volatility zones.
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EduWarlock tarafından
Market Phases (ZigZag + MA + RSI)This script is a TradingView Pine Script that visualizes market phases using the ZigZag pattern, Moving Averages (MA), and the Relative Strength Index (RSI). It allows traders to identify key market conditions, such as accumulating, distributing, bullish, and bearish phases based on price movements and momentum indicators. #### Components 1. ZigZag Settings: - Depth: Controls the sensitivity of the ZigZag indicator. A higher value results in fewer price points being considered as reversals. - Deviation: Defines the minimum percentage change needed to identify a ZigZag point, preventing small fluctuations from being registered. - Backstep: Specifies the number of bars to look back for identifying highs and lows. 2. Moving Average Settings: - MA Length: The number of periods used to calculate the moving average. - MA Type: The type of moving average to use, either Simple Moving Average (SMA) or Exponential Moving Average (EMA). 3. RSI Settings: - RSI Length: The period for calculating the RSI. - Overbought Level: The threshold above which the asset is considered overbought. - Oversold Level: The threshold below which the asset is considered oversold. 4. Calculations: - Moving Average and RSI Calculation: The script calculates either an SMA or EMA and the RSI based on user-defined settings. 5. ZigZag Enhanced Calculation: - It identifies swing highs and lows to determine the ZigZag points for improved trend analysis. 6. Trend Direction: - The script checks the direction of the trend based on the latest ZigZag points. 7. Market Phase Determination: - The script defines the market phase (Accumulation, Distribution, Bullish, Bearish) based on the trend direction and levels from the RSI and relationship with the moving average. 8. Background Colors: - The background is tinted according to the identified market phase for visual clarity. 9. Labels and Plotting: - Labels are generated at the last bar with the current phase and RSI value. - The moving average and last ZigZag points are plotted on the chart for further reference. ### Conclusion This script provides a comprehensive view of market conditions by integrating multiple indicators, helping traders make informed trading decisions based on market dynamics. The ability to visualize phases and key indicators aids in recognizing potential entry and exit points in trading strategies. If you have any questions or need further modifications, feel free to ask!
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blinovea1 tarafından
Falcon SignalsThis script is a TradingView Pine Script for a trading strategy called "Falcon Signals." It combines multiple technical indicators and strategies to generate buy and sell signals. Here’s a breakdown of what the script does: 1. Supertrend Indicator: The script calculates the Supertrend indicator using the Average True Range (ATR) and a specified multiplier (factor). The Supertrend is used to define the trend direction, with a green line for an uptrend and a red line for a downtrend. 2. EMA (Exponential Moving Average): Two EMAs are used: a fast EMA (9-period) and a slow EMA (21-period). The script checks for crossovers of the fast EMA above or below the slow EMA as a basis for buying and selling signals. 3. RSI (Relative Strength Index): The RSI (14-period) is used to measure the momentum of the price. A buy signal is generated when the RSI is less than 70, while a sell signal is generated when it’s greater than 30. 4. Take Profit (TP) and Stop Loss (SL): The script allows users to set custom percentages for take profit and stop loss. The take profit is set at a certain percentage above the entry price for buy signals, and the stop loss is set at a percentage below the entry price, and vice versa for sell signals. 5. Trailing Stop: A trailing stop can be enabled, which dynamically adjusts the stop loss level as the price moves in the favorable direction. If the price moves against the position by a certain trailing percentage, the position will be closed. 6. Engulfing Patterns: The script checks for bullish and bearish engulfing candlestick patterns, indicating potential reversals. A bullish engulfing pattern is marked with a teal label ("🔄 Reversal Up"), and a bearish engulfing pattern is marked with a fuchsia label ("🔄 Reversal Down"). 7. Plotting: The script plots various indicators and signals: Entry line: Shows where the buy or sell signal is triggered. Take profit and stop loss levels are plotted as lines. EMA and Supertrend lines are plotted on the chart. Trailing stop line, if enabled, is also plotted. 8. Buy and Sell Labels: The script places labels on the chart when buy or sell signals are triggered, indicating the price at which the order should be placed. 9. Exit Line: The script plots an exit line when the trailing stop is hit, signaling when a position should be closed. 10. Alerts: Alerts are set for both buy and sell signals, notifying the trader when to act based on the strategy's conditions. This strategy combines trend-following (Supertrend), momentum (RSI), and price action patterns (EMA crossovers and engulfing candlestick patterns) to generate trade signals. It also offers the flexibility of take profit, stop loss, and trailing stop features.
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AnasAlOmari tarafından
High and Low DayHigh and Low Day This indicator automatically tracks and displays the daily high and low of the current trading session directly on your chart. Each new day, it resets the levels and plots horizontal lines: Green Line for the daily high Red Line for the daily low It also adds labels (“High Day” and “Low Day”) for easy visual reference. The levels update in real time as new highs or lows are formed throughout the day. You can toggle the visibility of these lines and labels using the "Mostrar Linhas do Dia Atual" (Show Current Day Lines) setting. Perfect for intraday traders looking to keep track of key support and resistance levels during the trading day.
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EduWarlock tarafından
RMH MidTermThis script combines technical indicators (RSI and MACD), the trend of the HYG ETF, and a long-term moving average to detect buying or selling opportunities in markets with a medium-term bias. Buy when the RSI breaks out of oversold territory, the MACD crosses upward, the HYG shows relative strength, and the price is above the 200-day moving average. Sell when the RSI enters overbought territory, the MACD crosses downward, the HYG shows weakness, and the price falls below the 200-day moving average. It also marks global trend changes using the 200-day moving average as a reference.
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Lister74 tarafından
Gap Days Identifier📌 Gap Days Identifier – Pine Script This script identifies Gap Up and Gap Down days based on user-defined percentage thresholds. It is designed for daily charts and helps traders spot significant opening gaps relative to the previous day’s close. 🔍 Key Features: Customizable Thresholds: Input your desired % gap for both Gap Up and Gap Down detection. Visual Markers: Displays label arrows with actual % gap on the chart (green for Gap Up, red for Gap Down). Live Statistics Table: Shows total count of Gap Up and Gap Down days based on your filters. Clean Overlay: Designed to be non-intrusive and easy to interpret for any instrument. ✅ Use Case: Perfect for traders who track gap-based breakout strategies, news/event impact, or want to filter days with strong overnight sentiment shifts.
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Kirubakaran_Rajendran tarafından
1
Dskyz Adaptive Futures Edge (DAFE)imgur.com/a/igj9lFj Dskyz Adaptive Futures Edge (DAFE) is a futures trading strategy designed to adapt dynamically to market volatility and price action using a blend of technical indicators. The strategy combines adaptive moving averages, optional RSI filtering, candlestick pattern recognition, and multi-timeframe trend analysis to generate long and short trade signals. It incorporates robust risk management techniques including ATR-based stop-losses and trailing stops, ensuring trades are sized and managed within sustainable risk limits. Key Components and Logic -Adaptive Moving Averages Dynamic Calculation: Fast and slow Simple Moving Averages (SMAs) adapt to changing volatility, making them sensitive to high-momentum shifts and smoothing during quieter price action. Signal Generation: Entry signals are triggered when the fast SMA crosses the slow SMA in conjunction with price direction confirmation (e.g., price above both for long positions). -RSI Filtering (Optional) Momentum Confirmation: The RSI filter provides momentum confirmation to avoid overextended entries. It can be toggled on or off for both long and short conditions. User Control: Adjustable parameters such as lookback period, oversold/overbought thresholds, and enable/disable switches give full control over its influence. -Candlestick Pattern Recognition Engulfing Logic: Recognizes strong bullish or bearish engulfing patterns with configurable strength criteria like range and volume. Patterns are filtered by trend direction and strength for confirmation. Signal Conflict Handling: When both bullish and bearish engulfing patterns occur within the lookback window, the strategy avoids entry to reduce whipsaws in indecisive markets. -Multi-Timeframe Trend Filter Higher Timeframe Filtering: Incorporates 15-minute trend direction as a macro-level filter to align intrabar trades with larger trend momentum. Smoothed Entry Logic: Prevents entering trades that go against the broader market structure, reducing false signals in choppy or low-conviction moves. -Trade Execution and Risk Management imgur.com Entry Logic Priority System: Users can define whether moving average signals or candlestick patterns should take priority when both are present. Volume & Volatility Checks: Ensures sufficient market participation and action before entering a position, improving the odds of reliable follow-through. Stop-Loss and Trailing Exit ATR-Based Initial Stops: Dynamically adjusts stop-loss distance based on market volatility using a multiple of ATR (Average True Range), keeping risk proportional to price swings. Trailing Stop: Protects open profits and enables winners to run by following price action at a set distance (also ATR-based). -Cooldown Period & Minimum Bar Hold (Trade Discipline Logic) Cooldown Bars: After an exit, the strategy imposes a mandatory pause before opening a new position. Why: This avoids rapid-fire re-entries triggered by minor fluctuations that could lead to overtrading and degradation of profitability. Minimum Bar Hold: A trade must be held for a minimum number of bars before it can be exited. Why: This prevents the strategy from immediately exiting trades due to fleeting volatility spikes, which previously caused premature exits that often reversed back in favor of the original signal. This ensures trades have adequate time to develop, filtering out noise from true reversals. -Visual Elements and Transparency Tools Chart Overlays: Moving averages, RSI values, and trade entry/exit points are shown directly on the chart for complete visibility. Dashboard UI: Displays critical live metrics—current position, PnL, time held, ATR values, etc. Debug Logs: Optional toggles allow verbose condition tracking for deep inspection into why a trade occurred (or didn't), useful for both live optimization and debugging. -Input Parameter Reference Guide Input Name Function & Suggested Use Use RSI Filter - Enables or disables RSI-based entry confirmation. Disable if price action alone is desired for entry decisions. RSI Length - RSI lookback period. Lower values (e.g., 7–14) are more responsive; higher values reduce false signals. Overbought / Oversold Levels - Used to detect exhaustion zones. E.g., avoid long entries above 70 or short entries below 30. Use Candlestick Patterns - Enable detection of bullish/bearish engulfing patterns as trade signals. Disable to rely only on trend/MA. Pattern Strength Thresholds (Range, Volume) - Filters out weak engulfing signals. Higher values require stronger patterns to trigger. Use 15min Trend Filter - Adds multi-timeframe trend confirmation. Recommended for filtering entries against larger trend direction. Fast MA - Base Length for fast adaptive moving average. Suggested: 10–25. Slow MA - Base length for slow adaptive moving average. Suggested: 30–60. Volatility Sensitivity Multiplier - Multiplies volatility adjustments for adaptive MA length. Higher = more reactive to volatility. Entry Volume Filter - Filters out trades during low volume. Recommended to prevent entries in illiquid conditions. ATR Length - Lookback period for ATR calculation. Suggested: 14. Trailing Stop ATR Offset - Defines how far the stop-loss is from entry. 1.5–2.5 is typical for medium-volatility environments. Trailing Stop ATR Multiplier - Determines trailing stop distance. 1.5 is tight; 3+ gives more room for trending trades. Cooldown Bars After Exit - Prevents immediate re-entries. Suggested: 3–10 bars depending on timeframe. Minimum Bars to Hold Trade - Ensures trades are held long enough to avoid knee-jerk exits. Suggested: 5–10 for intraday strategies. Trading Hours (Start / End) - Sets the window of allowed trading. Prevents entries outside key session times (e.g., avoid pre-market). Enable Logging / Debugging - Shows internal trade decision data for tuning and understanding the logic. Compliance with TradingView Regulations Realistic Backtesting: The strategy uses proper initial capital, fixed trade quantities, and risk parameters to reflect realistic scenarios. Transparent Trade Logic: Every condition used for signal generation is documented and controllable by the user. Users can view each signal's rationale. Risk Mitigation: Cooldown bars, ATR stops, and minimum trade duration ensure the strategy behaves predictably and prevents reckless trade behavior. Customization: Full control over each module (MA, RSI, Candlestick, Trend, etc.) gives users the ability to tailor the strategy to suit various futures contracts or timeframes. imgur.com imgur.com imgur.com imgur.com imgur.com Summary DAFE was built for high-stakes micro futures trading environments such as the MNQ, where milliseconds of volatility matter. This strategy's modular architecture, adaptive logic, and advanced risk controls make it an ideal framework for scalpers and swing traders alike. BTCUSDT.P Backtesting: www.dropbox.com Deep Backtesting: www.dropbox.com ****Currently testing on a prop account. Caution Statement This strategy is designed for educational and experimental purposes and should not be considered financial advice or a guaranteed method of profitability. While the DAFE (Dskyz Adaptive Futures Edge) strategy incorporates advanced filters, adaptive logic, and volatility-based risk management, its performance is subject to market conditions, data accuracy, and user configuration. Futures trading involves substantial risk, and the leverage inherent in futures contracts can amplify both gains and losses. This strategy may execute trades rapidly and frequently under certain conditions—particularly when filters are disabled or thresholds are set too tightly—potentially leading to increased slippage, commissions, or unanticipated losses. Users are strongly advised to: Backtest thoroughly across various market regimes. Adjust parameters responsibly and understand the implication of each input. Paper trade in a simulated environment before going live. Monitor trades actively and use discretion when market volatility increases. -By using this strategy, you accept all risks and responsibility for any trading decisions made based on its output.
Pine Script® stratejisi
DskyzInvestments tarafından
5
ICT & SMC Multi-Timeframe by [KhedrFX]Transform your trading experience with the ICT & SMC Multi-Timeframe by indicator. This innovative tool is designed for traders who want to harness the power of multi-timeframe analysis, enabling them to make informed trading decisions based on key market insights. By integrating concepts from the Inner Circle Trader (ICT) and Smart Money Concepts (SMC), this indicator provides a comprehensive view of market dynamics, helping you identify potential trading opportunities with precision. Key Features - Multi-Timeframe Analysis: Effortlessly switch between various timeframes (5 minutes, 15 minutes, 30 minutes, 1 hour, 4 hours, daily, and weekly) to capture the full spectrum of market movements. - High and Low Levels: Automatically calculates and displays the highest and lowest price levels over the last 20 bars, highlighting critical support and resistance zones. - Market Structure Visualization: Identifies the last swing high and swing low, allowing you to recognize current market trends and potential reversal points. - Order Block Detection: Detects significant order blocks, pinpointing areas of strong buying or selling pressure that can indicate potential market reversals. - Custom Alerts: Set alerts for when the price crosses above or below identified order block levels, enabling you to act swiftly on trading opportunities. How to Use the Indicator 1. Add the Indicator to Your Chart - Open TradingView. - Click on the "Indicators" button at the top of the screen. - Search for "ICT & SMC Multi-Timeframe by " in the search bar. - Click on the indicator to add it to your chart. 2. Select Your Timeframe - Use the dropdown menu to choose your preferred timeframe (5, 15, 30, 60, 240, D, W) for analysis. 3. Interpret the Signals - High Level (Green Line): Represents the highest price level over the last 20 bars, acting as a potential resistance level. - Low Level (Red Line): Represents the lowest price level over the last 20 bars, acting as a potential support level. - Last Swing High (Blue Cross): Indicates the most recent significant high, useful for identifying potential reversal points. - Last Swing Low (Orange Cross): Indicates the most recent significant low, providing insight into market structure. - Order Block High (Purple Line): Marks the upper boundary of a detected order block, suggesting potential selling pressure. - Order Block Low (Yellow Line): Marks the lower boundary of a detected order block, indicating potential buying pressure. 4. Set Alerts - Utilize the alert conditions to receive notifications when the price crosses above or below the order block levels, allowing you to stay informed about potential trading opportunities. 5. Implement Risk Management - Always use proper risk management techniques. Consider setting stop-loss orders based on the identified swing highs and lows or the order block levels to protect your capital. Conclusion The ICT & SMC Multi-Timeframe by indicator is an essential tool for traders looking to enhance their market analysis and decision-making process. By leveraging multi-timeframe insights, market structure visualization, and order block detection, you can navigate the complexities of the market with confidence. Start using this powerful indicator today and take your trading to the next level. ⚠️ Trade Responsibly This tool helps you analyze the market, but it’s not a guarantee of profits. Always do your own research, manage risk, and trade with caution.
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KhedrFX tarafından
BTC Dominance Excluding StablecoinsBTC Dominance Excluding Stablecoins Description: The "BTC Dominance Excluding Stablecoins" indicator calculates Bitcoin's dominance as a percentage of the total cryptocurrency market capitalization, excluding the market caps of major stablecoins (USDT and USDC). Unlike the standard BTC.D ticker, which includes stablecoins in the total market cap, this indicator provides a clearer view of Bitcoin’s dominance relative to the "non-stable" crypto market. This can be useful for traders and analysts who want to assess Bitcoin’s strength without the influence of stablecoin market caps, which often skew dominance metrics during periods of high stablecoin usage. How It Works: Bitcoin Market Cap: Fetches Bitcoin’s market capitalization using CRYPTOCAP:BTC. Total Market Cap: Retrieves the total cryptocurrency market cap via CRYPTOCAP:TOTAL. Stablecoin Adjustment: Subtracts the market caps of USDT (CRYPTOCAP:USDT) and USDC (CRYPTOCAP:USDC) from the total market cap. Dominance Calculation: Computes Bitcoin’s dominance as (BTC Market Cap / Adjusted Total Market Cap) * 100, where the adjusted total excludes stablecoins. Output: Plots the resulting dominance percentage as a line chart. Features: Displays Bitcoin dominance excluding stablecoins on any timeframe. Customizable line color and thickness for better visualization. Provides a more accurate representation of Bitcoin’s market share in the volatile, non-stablecoin crypto ecosystem. Usage: Add this indicator to your TradingView chart to compare Bitcoin’s dominance against the broader altcoin market, free from stablecoin distortions. Use it alongside other indicators like BTC.D or price charts to analyze market trends, especially during periods of high stablecoin inflows or outflows. Notes: The indicator currently excludes USDT and USDC, the two largest stablecoins by market cap. Additional stablecoins (e.g., DAI, BUSD) can be added by modifying the script if desired. Data is sourced from TradingView’s CRYPTOCAP symbols, which may have slight delays or variations depending on exchange data feeds. Best used on daily or higher timeframes for smoother, more reliable results. Author: Created by K Du₿ Version: Pine Script v5
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Crypto-KDuB tarafından
1
J Weighted Average Price📘 How to Use the OBV VWAP Reentry Signal Effectively This indicator plots a VWAP based on OBV (On-Balance Volume), along with dynamic bands to identify overbought and oversold conditions in volume flow. 🔺 Red Triangle Up: Appears when OBV crosses back below the upper band → Potential reversal from overbought → Watch for short opportunities. 🔻 Blue Triangle Down: Appears when OBV crosses back above the lower band → Potential reversal from oversold → Watch for long opportunities. 📌 Tip: Use these signals in confluence with price action or trend confirmation to filter false signals. For example: Enter short after a reentry from upper band and a lower high in price. Enter long after a reentry from lower band and a bullish candle structure. This setup helps you catch mean reversion moves based on volume flow, not just price.
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netus8clpq tarafından
2CR(SP+FVG)2CR(SP+FVG) Indicator Introduction 2CR(SP+FVG) is a powerful technical analysis indicator that combines Swing Points (SP) and Fair Value Gaps (FVG) to provide traders with a comprehensive market structure analysis and precise trading signal identification system. This indicator helps traders identify high-probability trading opportunities by detecting key structural changes and price rejection patterns in the market. 2CR(SP+FVG) not only identifies important support and resistance areas but also detects price reactions to these areas, forming sequential trading signals such as CR, 2CR, CRS, and 2CRS. Core Components FVG (Fair Value Gap): Detects unfilled price gaps in the market that often become future support or resistance levels SP (Swing Point Horizontal Lines): Identifies highs and lows across multiple timeframes, marking key changes in market structure CR Module: Detects price rejection reactions after FVG or SP mitigation, forming CR (Change Rejection) and 2CR (Double Change Rejection) signals CRS Module: Analyzes more complex price structure changes, forming CRS (Change Rejection Structure) and 2CRS (Double Change Rejection Structure) signals Key Features Multi-timeframe Analysis: Analyzes both current and higher timeframes simultaneously, providing a comprehensive market perspective Automated Signal Detection: Automatically identifies and labels trading signals such as CR, 2CR, CRS, and 2CRS Structure Mitigation Recognition: Detects when price mitigates (touches and crosses) FVG and SP levels Double Confirmation System: Enhances signal reliability through sequential confirmation across two candles Custom Alerts: Provides configurable alert system for all signal types Adjustable Appearance: Users can customize colors and display options for all components Debug Mode: Offers detailed debugging information to help users understand signal triggering logic Signal Types CR (Change Rejection): The initial rejection reaction after price touches an FVG or SP, indicating a potential market reversal 2CR (Double Change Rejection): Confirmation after a CR signal, typically indicating a stronger reversal possibility CRS (Change Rejection Structure): More advanced structural rejection signal, requiring specific price action patterns 2CRS (Double Change Rejection Structure): Confirmation after a CRS signal, providing high-probability trading opportunities Use Cases Trend Reversal Identification: Use CR and 2CR signals to predict potential trend turning points Pullback Trading: Enter trades when the main trend pulls back to key support/resistance levels Structure Breakout Confirmation: Confirm the validity of market structure breakouts through CRS and 2CRS signals Risk Management: Use SP and FVG levels to set stop-loss and take-profit locations Multi-timeframe Strategy: Combine signals from current and higher timeframes to build a robust trading system Key Level Identification: Quickly identify the most important support and resistance areas in the market -------------------- Special Note: It is recommended to use this indicator together with the SP line and FVG MG indicators for a more intuitive observation of market order flow direction. By combining these three indicators, traders can obtain a more comprehensive view of market structure, accurately identify key support and resistance levels, and more precisely determine changes in market participant behavior patterns. -------------------- 使用场景 趋势反转识别: 利用CR和2CR信号预测趋势可能的转折点 回撤交易: 在主趋势回撤到关键支撑/阻力位时进场 结构突破确认: 通过CRS和2CRS信号确认市场结构突破的有效性 风险管理: 使用SP和FVG水平线设置止损和止盈位置 多周期策略: 结合当前和更高级别时间周期的信号，构建稳健的交易系统 关键水平识别: 快速识别市场中最重要的支撑和阻力区域 -------------------- 特别说明:建议连同SP line与FVG MG指标一起使用，更直观地观察市场的订单流走向。通过组合这三个指标，交易者可以获得更全面的市场结构视图，准确识别关键支撑阻力位，并更精确地判断市场参与者的行为模式变化。 --------------------
Pine Script® göstergesi
ak2588 tarafından
2
LEGIntroduction The LEG indicator is an advanced technical analysis tool designed for traders to identify key levels and trading opportunities in the market. By combining Fair Value Gap (FVG) and Swing Point (SP) analysis, the indicator draws important "leg" lines that represent critical areas of market structure change. The LEG indicator helps traders identify potential support and resistance levels, enabling them to make more informed entry and exit decisions. Use Cases Trend Identification: Determine market trend direction through multiple unmitigated LEG lines in the same direction Support/Resistance Areas: LEG lines often become temporary support or resistance levels Pullback Trading: Look for entry opportunities when price pulls back to unmitigated LEG lines Stop Loss Placement: Use LEG lines as reference points for stop loss placement Market Structure Analysis: Understand market structure changes through the creation and mitigation of LEG lines Configuration Options Enable LEG Drawing: Turn the LEG indicator on or off Bullish/Bearish LEG Color: Customize colors for different direction LEG lines LEG Line Width: Adjust the width of LEG lines (1-5) LEG Line Style: Choose between solid, dashed, or dotted lines LEG Line Length: Adjust the horizontal extension length of LEG lines (10-500) Maximum LEG Display Count: Control the maximum number of LEG lines shown on the chart (1-100) LEG Offset: Horizontally adjust the position of LEG lines, can offset left or right Hide Mitigated LEGs: Choose whether to hide LEG lines after price crosses them 使用场景 趋势识别: 通过多个未缓解的同向LEG线判断市场趋势方向 支撑/阻力区域: LEG线通常成为市场的临时支撑或阻力位 回撤交易: 当价格回撤到未缓解的LEG线附近时寻找入场机会 止损设置: 使用LEG线作为止损位的参考点 市场结构分析: 通过LEG线的生成和缓解理解市场结构变化
Pine Script® göstergesi
ak2588 tarafından
Sahid Strategy v2This script identifies potential buy/sell signals using: Pivot Points - Detects swing highs/lows (price reversals) Confirmation Filters - Reduces false signals using: RSI (momentum) Moving Average (trend direction) Optional MACD (trend confirmation) Key Features Signal Type Trigger Conditions BUY - Price makes a swing low (pivot) Copy - RSI ≤ 30 (oversold) - Price above trend MA - MACD bullish (optional) | | SELL | - Price makes a swing high (pivot) - RSI ≥ 70 (overbought) - Price below trend MA - MACD bearish (optional) | Visual Signals Green "BUY" labels below price bars Red "SELL" labels above price bars Purple trend line (20-period EMA/SMA) Orange/blue circles showing raw pivot points Optional Tools Debug Table (top-right): Shows real-time: RSI value Price vs MA position MACD status Alerts - Triggers audible/visual notifications Customization Adjust in settings: Pivot sensitivity (left/right bars) RSI levels (30/70 by default) MA type/length (20-period EMA/SMA) Toggle MACD filter on/off Best For: Swing trading in trending markets (1H-4H timeframes). Signals appear faster than classic pivot strategies but still require confirmation from other analysis tools.
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Cuansahid tarafından