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Market Stats Panel [Daveatt]█ Introduction I've created a script that brings TradingView's watchlist stats panel functionality directly to your charts. This isn't just another performance indicator - it's a pixel-perfect (kidding) recreation of TradingView's native stats panel. Important Notes You might need to adjust manually the scaling the firs time you're using this script to display nicely all the elements. █ Core Features Performance Metrics The panel displays key performance metrics (1W, 1M, 3M, 6M, YTD, 1Y) in real-time, with color-coded boxes (green for positive, red for negative) for instant performance assessment. Display Modes Switch seamlessly between absolute prices and percentage returns, making it easy to compare assets across different price scales. Absolute mode Percent mode Historical Comparison View year-over-year performance with color-coded lines, allowing for quick historical pattern recognition and analysis. Data Structure Innovation Let's talk about one of the most interesting challenges I faced. PineScript has this quirky limitation where request.security() can only return 127 tuples at most. £To work around this, I implemented a dual-request system. The first request handles indices 0-63, while the second one takes care of indices 64-127. 
 This approach lets us maintain extensive historical data without compromising script stability. And here's the cool part: if you need to handle even more years of historical data, you can simply extend this pattern by adding more request.security() calls. 
 Each additional call can fetch another batch of monthly open prices and timestamps, following the same structure I've used. 
 Think of it as building with LEGO blocks - you can keep adding more pieces to extend your historical reach. Flexible Date Range Unlike many scripts that box you into specific timeframes, I've designed this one to be completely flexible with your date selection. You can set any start year, any end year, and the script will dynamically scale everything to match. The visual presentation automatically adjusts to whatever range you choose, ensuring your data is always displayed optimally. █ Customization Options Visual Settings The panel's visual elements are highly customizable. You can adjust the panel width to perfectly fit your workspace, fine-tune the line thickness to match your preferences, and enjoy the pre-defined year color scheme that makes tracking historical performance intuitive and visually appealing. Box Dimensions Every aspect of the performance boxes can be tailored to your needs. Adjust their height and width, fine-tune the spacing between them, and position the entire panel exactly where you want it on your chart. The goal is to make this tool feel like it's truly yours. █ Technical Challenges Solved Polyline Precision Creating precise polylines was perhaps the most demanding aspect of this project. The challenge was ensuring accurate positioning across both time and price axes, while handling percentage mode scaling with precision. The script constantly updates the current year's data in real-time, seamlessly integrating new information as it comes in. Axis Management Getting the axes right was like solving a complex puzzle. The Y-axis needed to scale dynamically whether you're viewing absolute prices or percentages. The X-axis required careful month labeling that stays clean and readable regardless of your selected timeframe. Everything needed to align perfectly while maintaining proper spacing in all conditions. █ Final Notes This tool transforms complex market data into clear, actionable insights. Whether you're day trading or analyzing long-term trends, it provides the information you need to make informed decisions. And remember, while we can't predict the future, we can certainly be better prepared for it with the right tools at hand. A word of warning though - seeing those red numbers in a beautifully formatted panel doesn't make them any less painful! 😉 --- Happy Trading! May your charts be green and your stops be far away! Daveatt
Indikator Pine Script®
oleh Daveatt
21
Fair Value Gap (FVG) Oscillator [UAlgo]The "Fair Value Gap (FVG) Oscillator " is designed to identify and visualize Fair Value Gaps (FVG) within a given lookback period on a trading chart. This indicator helps traders by highlighting areas where price gaps may signify potential trading opportunities, specifically bullish and bearish patterns. By leveraging volume and Average True Range (ATR) data, the FVG Oscillator aims to enhance the accuracy of pattern recognition and provide more reliable signals for trading decisions. 🔶 Identification of Fair Value Gap (FVG) Fair Value Gaps (FVG) are specific price areas where gaps occur, and they are often considered significant in technical analysis. These gaps can indicate potential future price movements as the market may return to fill these gaps. This indicator identifies two types of FVGs: Bullish FVG: Occurs when the current low price is higher than the high price two periods ago. This condition suggests a potential upward price movement. Obtains with: low > high Bearish FVG: Occurs when the current high price is lower than the low price two periods ago. This condition suggests a potential downward price movement. Obtains with: high < low The FVG Oscillator not only identifies these gaps but also verifies them using volume and ATR conditions to ensure more reliable trading signals. 🔶 Key Features Lookback Period: Users can set the lookback period to determine how far back the indicator should search for FVG patterns. ATR Multiplier: The ATR Multiplier is used to adjust the sensitivity of the ATR-based conditions for verifying FVG patterns. Volume SMA Period: This setting determines the period for the Simple Moving Average (SMA) of the volume, which helps in identifying high volume conditions. Why ATR and Volume are Used? ATR (Average True Range) and volume are integrated into the Fair Value Gap (FVG) Oscillator to enhance the accuracy and reliability of the identified patterns. ATR measures market volatility, helping to filter out insignificant price gaps and focus on impactful ones, ensuring that the signals are relevant and strong. Volume, on the other hand, confirms the strength of price movements. High volume often indicates the sustainability of these movements, reducing the likelihood of false signals. Together, ATR and volume ensure that the detected FVGs are both significant and supported by market activity, providing more trustworthy trading signals. Normalized Values: The FVG counts are normalized to enhance the visual representation and interpretation of the patterns on the chart. Visual Customization and Plotting: Users can customize the colors for positive (bullish) and negative (bearish) areas, and choose whether to display these areas on the chart, also plots the bullish and bearish FVG counts, a zero line, and the net value of FVG counts. Additionally, it uses histograms to display the width of verified bullish and bearish patterns. 🔶 Disclaimer: Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals. Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator. Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies. Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses. No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Indikator Pine Script®
oleh UAlgo
Oliver Velez IndicatorOliver Velez is a well-known trader and educator who has developed multiple trading strategies. One of them is the 20-200sma strategy, which is a basic moving average crossover strategy. The strategy involves using two simple moving averages (SMAs) - a short-term SMA with a period of 20 and a long-term SMA with a period of 200 - on a 2-minute timeframe chart. When the short-term SMA crosses above the long-term SMA, it signals a potential bullish trend and traders may look for opportunities to enter a long position. Conversely, when the short-term SMA crosses below the long-term SMA, it signals a potential bearish trend and traders may look for opportunities to enter a short position. Traders using this strategy may also look for additional confirmations, such as price action signals or other technical indicators, before entering or exiting a trade. It is important to note that no trading strategy can guarantee profits, and traders should always use risk management techniques to limit potential losses. This script is an implementation of the 2 SMA's (can also choose other types of MA's), with Elephant Bar Indicator (EBI) and the Tail Bars Indicator in TradingView. The Elephant Bar Indicator is a technical indicator used in trading to identify potential trend reversals in the market. It is named after the large size of the bullish or bearish candlestick that it represents. The Tail Bars Indicator is a pattern recognition technique that identifies candlestick patterns with long tails or wicks. The script starts by defining the input parameters for both indicators. For the Elephant Bar Indicator, the user inputs the lookback period and the size multiplier. For the Tail Bars Indicator, the user inputs the tail ratio and opposite wick ratio. Next, the script calculates the moving averages of the closing price over the defined short and long periods using the Moving Average function. The script then calculates the average candle size and volume over the lookback period. The script then identifies the Elephant Bars and Tail Bars using the input parameters and additional conditions. For Elephant Bars, the script identifies bullish and bearish bars that meet certain criteria, such as a size greater than the average candle size and volume greater than the average volume. For Tail Bars, the script identifies bullish and bearish bars that have long tails or wicks and meet certain criteria such as opposite wick size less than or equal to the tail size multiplied by the input opposite wick ratio. Finally, the script plots the Elephant Bar and Tail Bar signals on the chart using different colors and shapes. The script also plots the moving averages and Keltner Channels to help traders identify potential trend reversals. It is still under development, so please, if someone has ideas to add, more than welcome
Indikator Pine Script®
oleh Rginah1974
8
[blackcat] L3 RMI Trading StrategyLevel 3 Background My view of correct usage of RSI and the relationship between RMI and RSI. A proposed RMI indicator with features is introduced Descriptions The Relative Strength Index (RSI) is a technical indicator that many people use. Its focus indicates the strength or weakness of a stock. In the traditional usage of this point, when the RSI is above 50, it is strong, otherwise it is weak. Above 80 is overbought, below 20 is oversold. This is what the textbook says. However, if you follow the principles in this textbook and enter the actual trading, you would lose a lot and win a little! What is the reason for this? When the RSI is greater than 50, that is, a stock enters the strong zone. At this time, the emotions of market may just be brewing, and as a result, you run away and watch others win profit. On the contrary, when RSI<20, that is, a stock enters the weak zone, you buy it. At this time, the effect of losing money is spreading. You just took over the chips that were dumped by the whales. Later, you thought that you had bought at the bottom, but found that you were in half mountainside. According to this cycle, there is a high probability that a phenomenon will occur: if you sell, price will rise, and if you buy, price will fall, who have similar experiences should quickly recall whether their RSI is used in this way. Technical indicators are weapons. It can be either a tool of bull or a sharp blade of bear. Don't learn from dogma and give it away. Trading is a game of people. There is an old saying called “people’s hearts are unpredictable”. Do you really think that there is a tool that can detect the true intentions of people’s hearts 100% of the time? For the above problems, I suggest that improvements can be made in two aspects (in other words, once the strategy is widely spread, it is only a matter of time before it fails. The market is an adaptive and complex system, as long as it can be fully utilized under the conditions that can be used, it is not easy to use. throw or evolve): 1. RSI usage is the opposite. When a stock has undergone a deep adjustment from a high level, and the RSI has fallen from a high of more than 80 to below 50, it has turned from strong to weak, and cannot be bought in the short term. But when the RSI first moved from a low to a high of 80, it just proved that the stock was in a strong zone. There are funds in the activity, put into the stock pool. Just wait for RSI to intervene in time when it shrinks and pulls back (before it rises when the main force washes the market). It is emphasized here that the use of RSI should be combined with trading volume, rising volume, and falling volume are all healthy performances. A callback that does not break an important moving average is a confirmed buying point or a second step back on an important moving average is a more certain buying point. 2. The RSI is changed to a more stable and adjustable RMI (Relative Momentum Indicator), which is characterized by an additional momentum parameter, which can not only be very close to the RSI performance, but also adjust the momentum parameter m when the market environment changes to ensure more A good fit for a changing market. The Relative Momentum Index (RMI) was developed by Roger Altman and described its principles in his article in the February 1993 issue of the journal Technical Analysis of Stocks and Commodities. He developed RMI based on the RSI principle. For example, RSI is calculated from the close to yesterday's close in a period of time compared to the ups and downs, while the RMI is compared from the close to the close of m days ago. Therefore, in principle, when m=1, RSI should be equal to RMI. But it is precisely because of the addition of this m parameter that the RMI result may be smoother than the RSI. Not much more to say, the below picture: when m=1, RMI and RSI overlap, and the result is the same. The Shanghai 50 Index is from TradingView (m=1) The Shanghai 50 Index is from TradingView (m=3) The Shanghai 50 Index is from TradingView (m=5) For this indicator function, I also make a brief introduction: 1. 50 is the strength line (white), do not operate offline, pay attention online. 80 is the warning line (yellow), indicating that the stock has entered a strong area; 90 is the lightening line (orange), once it is greater than 90 and a sell K-line pattern appears, the position will be lightened; the 95 clearing line (red) means that selling is at a climax. This is seen from the daily and weekly cycles, and small cycles may not be suitable. 2. The purple band indicates that the momentum is sufficient to hold a position, and the green band indicates that the momentum is insufficient and the position is short. 3. Divide the RMI into 7, 14, and 21 cycles. When the golden fork appears in the two resonances, a golden fork will appear to prompt you to buy, and when the two periods of resonance have a dead fork, a purple fork will appear to prompt you to sell. 4. Add top-bottom divergence judgment algorithm. Top_Div red label indicates top divergence; Bot_Div green label indicates bottom divergence. These signals are only for auxiliary judgment and are not 100% accurate. 5. This indicator needs to be combined with VOL energy, K-line shape and moving average for comprehensive judgment. It is still in its infancy, and open source is published in the TradingView community. A more complete advanced version is also considered for subsequent release (because the K-line pattern recognition algorithm is still being perfected). Remarks Feedbacks are appreciated.
Indikator Pine Script®
oleh blackcat1402
4
Synthetic Price Action GeneratorNOTICE: First thing you need to know, it "DOES NOT" reflect the price of the ticker you will load it on. THIS IS NOT AN INDICATOR FOR TRADING! It's a developer tool solely generating random values that look exactly like the fractals we observe every single day. This script's generated candles are as fake as the never ending garbage news cycles we are often force fed and expected to believe by using carefully scripted narratives peddled as hypnotic truth to psychologically and emotionally influence you to the point of control by coercion and subjugation. I wanted to make the script's synthetic nature very clear using that analogy, it's dynamically artificial. Do not accidentally become disillusioned by this scripts values, make trading decisions from it, and lastly don't become victim to predatory media magic ministry parrots with pretty, handsome smiles, compelling you to board their ferris wheel of fear. Now, on to the good stuff... BACKSTORY: Occasionally I find myself in situations where I have to build analyzers in Pine to actually build novel quantitative analytic indicators and tools worthy of future use. These analyzers certainly don't exist on this platform, but usually are required to engineer and tweak algorithms of the highest quality with the finest computational caliber. I have numerous other synthesizers to publish besides this one. For many reasons, I needed a synthetic environment to utilize the analyzers I built in Pine, to even pursue building some exotic indicators and algorithms. Pine doesn't allow sourcing of tuples. Not to mention, I required numerous Pine advancements to make long held dreams into tangible realities. Many Pine upgrades have arrived and MANY, MANY more are in need of implementation for all. Now that I have this, intending to use it in the future often when in need, you can now use it too. I do anticipate some skilled Pine poets will employ this intended handy utility to design and/or improved indicators for trading. ORIGIN: This was inspired by the brilliance from the world renowned ALGOmist John F. Ehlers, but it's taken on a completely alien form from its original DNA. Browsing on the internet for something else, I came across an article with a small code snippet, and I remembered an old wish of mine. I have long known that by flipping back and forth on specific tickers and timeframes in my Watchlist is not the most efficient way to evaluate indicators in multiple theatres of price action. I realized, I always wanted to possess and use this sort of tool, so... I put it into Pine form, but now have decided to inject it with Pine Script steroids. The outcome is highly mutable candle formations in a reusable mutagenic package, observable above and masquerading as genuine looking price candles. OVERVIEW: I guess you could call it a price action synthesizer, but I entitled it "Synthetic Price Action Generator" for those who may be searching for such a thing. You may find this more useful on the All or 5Y charts initially to witness indication from beginning (barstate.isfirst === barindex==0) to end (last_bar_index), but you may also use keyboard shortcuts + + to view the earliest plottable bars on any timeframe. I often use that keyboard shortcut to qualify an indicator through the entirety of it's runtime. A lot can go wrong unexpectedly with indicator initialization, and you will never know it if you don't inspect it. Many recursively endowed Infinite Impulse Response (IIR) Filters can initialize with unintended results that minutely ring in slightly erroneous fashion for the entire runtime, beginning to end, causing deviations from "what should of been..." values with false signals. Looking closely at spg(), you will recognize that 3 EMAs are employed to manage and maintain randomness of CLOSE, HIGH, and LOW. In fact, any indicator's barindex==0 initialization can be inspected with the keyboard shortcuts above. If you see anything obviously strange in an authors indicator, please contact the developer if possible and respectfully notify them. PURPOSE: The primary intended application of this script, is to offer developers from advanced to even novice skill levels assistance with building next generation indicators. Mostly, it's purpose is for testing and troubleshooting indicators AND evaluating how they perform in a "manageable" randomized environment. Some times indicators flake out on rare but problematic price fluctuations, and this may help you with finding your issues/errata sooner than later. While the candles upon initial loading look pristine, by tweaking it to the minval/maxval parameters limits OR beyond with a few code modifications, you can generate unusual volatility, for instance... huge wicks. Limits of minval= and maxval= of are by default set to a comfort zone of operation. Massive wicks or candle bodies will undoubtedly affect your indication and often render them useless on tickers that exhibit that behavior, like WGMCF intraday currently. Copy/paste boundaries are provided for relevant insertion into another script. Paste placement should happen at the very top of a script. Note that by overwriting the close, open, high, etc... values, your compiler will give you generous warnings of "variable shadowing" in abundance, but this is an expected part of applying it to your novel script, no worries. plotcandle() can be copied over too and enabled/disabled in Settings->Style. Always remember to fully remove this scripts' code and those assignments properly before actual trading use of your script occurs, AND specifically when publishing. The entirety of this provided code should never, never exist in a published indicator. OTHER INTENTIONS: Even though these are 100% synthetic generated price points, you will notice ALL of the fractal pseudo-patterns that commonly exist in the markets, are naturally occurring with this generator too. You can also swiftly immerse yourself in pattern recognition exercises with increased efficiency in real time by clicking any SPAG Setting in focus and then using the up/down arrow keys. I hope I explained potential uses adequately... On a personal note, the existence of fractal symmetry often makes me wonder, do we truly live in a totality chaotic universe or is it ordered mathematically for some outcomes to a certain extent. I think both. My observations, it's a pre-deterministic reality completely influenced by infinitesimal amounts of sentient free will with unimaginable existing and emerging quantities. Some how an unknown mysterious mechanism governing the totality of universal physics and mathematics counts this 100.0% flawlessly and perpetually. Anyways, you can't change the past that long existed before your birth or even yesterday, but you can choose to dream, create, and forge the future into your desires and hopes. As always, shite always happens when your not looking for it. What you choose to do after stepping in it unintentionally... is totally up to you. :) Maybe this tool and tips provided will aid you in not stepping in an algo cachucha up to your ankles somehow. SCRIPTING LESSONS PORTRAYED IN THIS SCRIPT: Pine etiquette and code cleanliness Overwrite capabilities of built-in Pine variables for testing indicators Various techniques to organize Settings panel while providing ease of adjustment utility Use of tooltip= to provide users adequate valuable information. Most people want to trade with indicators, not blindly make adjustments to them without any knowledge of their intended operation/effects When available time provides itself, I will consider your inquiries, thoughts, and concepts presented below in the comments section, should you have any questions or comments regarding this indicator. When my indicators achieve more prevalent use by TV members , I may implement more ideas when they present themselves as worthy additions. Have a profitable future everyone!
Indikator Pine Script®
oleh ImmortalFreedom
18
eBacktesting - Learning: Liquidity GrabseBacktesting - Learning: Liquidity Grabs highlights moments when price pushes just beyond a recent swing high or swing low (where many stops tend to sit) and then quickly returns back inside the level. This behavior is often called a stop run, sweep, or liquidity grab. Traders study these events because they can reveal: - Where liquidity is “resting” (obvious highs/lows) - A quick sweep and rejection (often a wick) - When a breakout attempt is actually a trap - A full candle close through the level, followed by an immediate reversal back inside (classic breakout trap) - Potential areas where price may reverse or accelerate after stops are taken Use it as a training tool to build pattern recognition and improve your patience around key levels, especially during active sessions where sweeps happen frequently. These indicators are built to pair perfectly with the eBacktesting extension, where traders can practice these concepts step-by-step. Backtesting concepts visually like this is one of the fastest ways to learn, build confidence, and improve trading performance. Educational use only. Not financial advice.
Indikator Pine Script®
oleh eBacktesting
EDUVEST Lorentzian ClassificationEDUVEST Lorentzian Classification - Machine Learning Signal Detection ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ ORIGINALITY This indicator enhances the original Lorentzian Classification concept by jdehorty with EduVest's visual modifications and alert system integration. The core innovation is using Lorentzian distance instead of Euclidean distance for k-NN classification, providing more robust pattern recognition in financial markets. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ WHAT IT DOES - Generates BUY/SELL signals using machine learning classification - Displays kernel regression estimate for trend visualization - Shows prediction values on each bar - Provides trade statistics (Win Rate, W/L Ratio) - Includes multiple filter options (Volatility, Regime, ADX, EMA, SMA) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ HOW IT WORKS 【Lorentzian Distance Calculation】 Unlike Euclidean distance, Lorentzian distance uses logarithmic transformation: d = Σ log(1 + |xi - yi|) This provides: - Better handling of outliers - More stable distance measurements - Reduced sensitivity to extreme values 【Feature Engineering】 The classifier uses up to 5 configurable features: - RSI (Relative Strength Index) - WT (WaveTrend) - CCI (Commodity Channel Index) - ADX (Average Directional Index) Each feature is normalized using the n_rsi, n_wt, n_cci, or n_adx functions. 【k-Nearest Neighbors Classification】 1. Calculate Lorentzian distance between current bar and historical bars 2. Find k nearest neighbors (default: 8) 3. Sum predictions from neighbors 4. Generate signal based on prediction sum (>0 = Long, <0 = Short) 【Kernel Regression】 Uses Rational Quadratic kernel for smooth trend estimation: - Lookback Window: 8 - Relative Weighting: 8 - Regression Level: 25 【Filters】 - Volatility Filter: Filters signals during extreme volatility - Regime Filter: Identifies market regime using threshold - ADX Filter: Confirms trend strength - EMA/SMA Filter: Trend direction confirmation ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ HOW TO USE 【Recommended Settings】 - Timeframe: 15M, 1H, 4H, Daily - Neighbors Count: 8 (default) - Feature Count: 5 for comprehensive analysis 【Signal Interpretation】 - Green BUY label: Long entry signal - Red SELL label: Short entry signal - Bar colors: Green (bullish) / Red (bearish) prediction strength 【Trade Statistics Panel】 - Winrate: Historical win percentage - Trades: Total (Wins|Losses) - WL Ratio: Win/Loss ratio - Early Signal Flips: Premature signal changes 【Filter Recommendations】 - Enable Volatility Filter for ranging markets - Enable Regime Filter for trend confirmation - Use EMA Filter (200) for higher timeframes ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ CREDITS Original Lorentzian Classification concept and MLExtensions library by jdehorty. Enhanced with visual modifications and alert integration by EduVest. License: Mozilla Public License 2.0
Indikator Pine Script®
oleh EduVest_doro
Liquidation Map [Alpha Extract]A sophisticated liquidity distribution visualization system that identifies potential liquidation zones through pivot-based detection and renders them as an interactive histogram with cumulative distance-to-liquidation curves. Utilizing multi-exchange volume aggregation and ATR-scaled pocket detection, this indicator delivers institutional-grade liquidity mapping with real-time histogram display showing relative concentration of long and short liquidation levels across configurable price ranges. The system's box-based rendering architecture combined with cumulative distribution overlays provides comprehensive visual assessment of asymmetric liquidity positioning for strategic trade planning. 🔶 Advanced Multi-Exchange Aggregation Framework Implements intelligent ticker detection and multi-source volume aggregation across major exchanges including Binance, Bybit, KuCoin, OKX, and MEXC for accurate liquidity weight calculations. The system automatically identifies base currency (BTC, ETH, SOL) from chart ticker, retrieves volume data from matching perpetual contracts across multiple venues, and aggregates into composite volume metric for enhanced pocket weighting accuracy. 🔶 Pivot-Based Liquidation Pocket Detection Features sophisticated swing point identification using configurable pivot width with ATR-scaled vertical zone construction for volatility-adaptive pocket sizing. The system detects pivot highs for short liquidation zones (placed above swing) and pivot lows for long liquidation zones (placed below swing), applying 200-period ATR with percentage multipliers to determine pocket heights that adjust to market volatility conditions. 🔶 Interactive Histogram Visualization Engine Provides real-time box-based histogram rendering in indicator pane with configurable bin counts (up to 400 columns) and adjustable height, displaying liquidity concentration across fixed percentage range above and below current price. The system calculates bin sizes from view range, accumulates pocket weights into price bins, and renders vertical bars with gradient color intensity reflecting relative liquidity concentration at each price level. 🔶 Cumulative Distance Overlay System Implements innovative cumulative distribution curves showing aggregate liquidity distance from current price for both long (left) and short (right) positions. The system calculates running totals of pocket weights from current price outward in both directions, normalizes against maximum span, and overlays line segments showing how much total liquidity exists at various distances, enabling instant assessment of liquidation cascade potential. 🔶 Dynamic Price Range Adaptation Features fixed percentage-based view window that maintains consistent price range visualization across all timeframes and instruments, automatically centering histogram on current price with configurable +/- percentage bounds. The system recalculates histogram bins and pocket distributions on each bar close, ensuring visualization adapts to price movement while maintaining interpretable scale regardless of volatility regime. 🔶 Touch Detection and Weight Adjustment Provides intelligent pocket state tracking that identifies when price trades through liquidation zones and applies configurable weight multipliers to touched pockets for historical context. The system monitors price interaction with pocket midpoints, marks pockets as "hit" when violated, and optionally increases their visual weight (default 5x) to emphasize historical liquidation levels while distinguishing from untouched future zones. 🔶 Gradient Intensity Color System Implements sophisticated color gradient engine that modulates bar opacity from transparent to opaque based on relative liquidity concentration within each bin. The system normalizes bin values against maximum liquidity, applies color interpolation from faded to vivid hues, and distinguishes long liquidation zones (cyan) from short liquidation zones (yellow/gold) with current price column highlighted in red for instant orientation. 🔶 Performance-Optimized Rendering Architecture Utilizes efficient box and line object management with dynamic allocation based on histogram configuration, implementing intelligent cleanup and reuse to maintain smooth performance. The system includes adaptive line budget calculations that adjust segment density for cumulative curves based on available object limits, ensuring consistent operation even with maximum histogram resolution settings. 🔶 Asymmetric Distribution Analysis Calculates separate cumulative distributions for long and short liquidation zones split at current price, enabling identification of imbalanced liquidity positioning. The system normalizes distributions against respective maximums and overlays both curves on single histogram, allowing traders to instantly assess whether more liquidation risk exists above (shorts vulnerable) or below (longs vulnerable) current price levels. 🔶 Configurable Label and Scale System Provides price axis labeling with adjustable frequency to reduce clutter while maintaining reference points, displaying price values at regular column intervals with configurable offset positioning. The system includes current price label showing exact value and percentile position within view range, offering both absolute price reference and relative positioning context for distribution interpretation. 🔶 Historical Pocket Persistence Framework Maintains rolling window of liquidation pockets up to 3000 bars with automatic expiration management and optional preservation of touched zones for historical analysis. The system tracks pocket creation time, monitors age against lookback limits, and manages array cleanup to prevent memory overflow while retaining relevant historical liquidation levels for pattern recognition and support/resistance validation. This indicator delivers sophisticated liquidity distribution analysis through histogram visualization and cumulative distance curves that reveal asymmetric positioning of potential liquidation levels. Unlike simple liquidation heatmaps that show absolute levels, the Liquidation Map's cumulative distribution overlays instantly communicate how much total liquidity exists at various distances from current price, enabling assessment of cascade potential. The system's multi-exchange volume aggregation, touch-weighted historical zones, and fixed-range visualization make it essential for traders seeking strategic positioning around institutional liquidity clusters in cryptocurrency futures markets. The histogram format enables instant identification of price levels where concentrated liquidations may trigger significant volatility or reversal events, while the asymmetric distribution curves reveal whether market structure favors upside or downside cascades.
Indikator Pine Script®
oleh AlphaExtract
2
Jake's Candle by Candle UpgradedJake's Candle by Candle Upgraded The "Story of the Market" Automated This is not just another signal indicator. Jake's Candle by Candle Upgraded is a complete institutional trading framework designed for high-precision scalping on the 1-minute and 5-minute timeframes. Built strictly on the principles of Al Brooks Price Action and Smart Money Concepts (SMC), this tool automates the rigorous "Candle-by-Candle" analysis used by professional floor traders. It moves beyond simple pattern recognition to read the "Story" of the market—Context, Setup, and Pressure—before ever allowing a trade. The Philosophy: Why This Tool Was Built Most retail traders fail for two reasons: Getting Trapped: They enter on the first sign of a reversal (H1/L1), which is often an institutional trap. Trading Chop: They bleed capital during low-volume, sideways markets. This tool solves both problems with an Algorithmic Discipline Engine. It does not guess. It waits for the specific "Second Leg" criteria used by institutions and physically disables itself during dangerous market conditions. Key Features 1. The Context Dashboard (HUD) A professional Heads-Up Display in the top-right corner keeps you focused on the macro picture while you scalp. FLOW: Monitors the 20-period Institutional EMA. (Green = Bull Flow, Red = Bear Flow). You are prevented from trading against the dominant trend. STATE: A built-in "Volatility Compressor." If it says "⚠️ CHOP / RANGE", the algorithm is disabled. It protects you from overtrading during lunch hours or low-volume zones. SETUP: Live tracking of the Al Brooks leg count. It tells you exactly when the algorithm is "Waiting for Pullback" or "Searching for Entry." 2. Smart "Trap Avoidance" Logic (H2/L2) This tool uses the "Gold Standard" of scalping setups: The High 2 (H2) and Low 2 (L2). It ignores the first breakout attempt (Leg 1), acknowledging it as a potential trap. It waits for the pullback and only signals on the Second Leg, statistically increasing the probability of a successful trend resumption. 3. Volatility-Adaptive Risk Management Stop calculating pips in your head. The moment a signal is valid, the tool draws your business plan on the chart: Stop Loss (Red Line): Automatically placed behind the "Signal Bar" (the candle that created the setup) based on strict price action rules. Take Profit (Green Line): Automatically projected at a 1.5 Risk-to-Reward Ratio. Smart Adaptation: The targets expand and contract based on real-time market volatility. If the market is quiet, targets are tighter. If explosive, targets are wider. 4. The "Snap Entry" Signal The BUY and SELL badges are not lagging. They are programmed with "Stop Entry" logic—appearing the exact moment price breaks the structure of the Signal Bar, ensuring you enter on momentum, not hope. How to Trade Strategy Check the HUD: Ensure FLOW matches your direction and STATE says "✅ VOLATILE". Wait for the Badge: Do not front-run the tool. Wait for the BUY or SELL badge to print. Set Your Orders: Once the signal candle closes: Place your Stop Loss at the Red Line. Place your Take Profit at the Green Line. Walk Away: The trade is now a probability event. Let the math play out. Technical Specifications Engine: Pine Script v6 (Strict Compliance). Best Timeframes: 1m, 5m. Best Assets: Indices (NQ, ES), Gold (XAUUSD), and high-volume Crypto (BTC, ETH).
Indikator Pine Script®
oleh jahigginsenterprises
Goldilocks Pivot FractalsGOLDILOCKS PIVOT FRACTALS - DESCRIPTION Overview Goldilocks Pivot Fractals identifies swing highs and lows using fractal pattern recognition with professional visual presentation. This indicator marks potential reversal points where price creates distinct peaks and valleys - perfect pivot points for support, resistance, and market structure analysis. The "Goldilocks" name reflects the perfectly balanced visual presentation: not too cluttered, not too plain, just right for professional traders. Unlike standard fractal indicators, this edition features fully customizable Buy/Sell labels with tick-based positioning, independent toggle controls, and a high-contrast color scheme optimized for both dark and light chart themes. What Makes It Unique: - Professional label system with full customization (colors, sizes, tick-based offsets) - Toggle labels and arrow shapes independently - High-contrast default colors (teal/maroon) optimized for maximum visibility - Clean, trader-friendly interface with intuitive settings - Works flawlessly on all timeframes and instruments How to Use PERIOD ADJUSTMENT & ADJUSTING SENSITIVITY The Period(s) setting controls how many signals you see: • Period = 2 (default): Shows more signals, catches smaller price swings - best for day trading and scalping • Period = 3-4: Shows medium amount of signals, filters out tiny moves - good for swing trading (holding days to weeks) • Period = 5 or higher: Shows fewer signals, only the biggest turning points - best for long-term position trading - Simple rule: Lower number = more signals. Higher number = fewer, but stronger signals. SIGNALS 🟢 "BUY Label" (Down Fractal) - Marks swing lows and potential support zones - Look for price bouncing up after the fractal forms - Use for identifying pullback entry points in uptrends - Place stops below recent BUY fractals 🔴 "SELL Label" (Up Fractal) - Marks swing highs and potential resistance zones - Look for price rejecting down after the fractal forms - Use for identifying profit targets or short entries - Place stops above recent SELL fractals REPAINTING BEHAVIOR ⚠️ This indicator repaints by design. Fractals require N bars on both sides to confirm, so they appear N bars after the actual pivot point. This is normal and ensures accurate pivot identification. Wait for complete confirmation before trading. TRADING APPLICATIONS 1. Support/Resistance: Mark key price levels for entries and exits 2. Market Structure: higher BUY fractals = uptrend, lower SELL fractals = downtrend 3. Stop Placement: Use recent fractals as logical stop-loss levels 4. Breakout Trading: Monitor price breaking above/below fractal levels 5. Trend Following: Enter on pullbacks to BUY fractals in uptrends 6. Swing Trading: Identify major swing points for position entries CUSTOMIZATION OPTIONS • Show BUY/SELL Labels**: Toggle professional text labels on/off • Show Shapes: Toggle arrow shapes independently • Offset (ticks): Adjust label distance from price bars for perfect positioning • Colors: Customize backgrounds (default: teal/maroon) and text (default: white/yellow) • Label Size: Choose from tiny, small, normal, large, or huge The high-contrast default colors provide excellent visibility without adjustment, but full customization is available to match any chart theme. Key Settings Periods (n) (default: 2): Number of bars on each side of pivot. Lower = more signals, Higher = fewer, stronger signals Show BUY/SELL Labels (default: ON): Display professional text labels Show Shapes (default: ON): Display arrow shapes BUY offset (ticks) (default: 8): Distance BUY labels appear below lows SELL offset (ticks) (default: 8): Distance SELL labels appear above highs Colors: Full customization - defaults optimized for visibility Label size (default: normal): Visual prominence control Key Features ✅ Professional pivot fractal detection ✅ Fully customizable Buy/Sell labels ✅ Independent toggle for labels and shapes ✅ Tick-based offset positioning ✅ High-contrast color scheme ✅ Works on all timeframes and instruments ✅ Clean, intuitive interface ✅ Adjustable sensitivity ✅ Perfect for support/resistance identification ✅ Ideal for market structure analysis
Indikator Pine Script®
oleh NPR21
Alpha Options System# Apex Options Sniper - Advanced Multi-Signal Day Trading System ## 🎯 Overview **Apex Options Sniper** is a professional-grade, multi-signal trading indicator specifically engineered for high-probability day trading of weekly options. This comprehensive system combines 10+ technical indicators into a sophisticated scoring algorithm that identifies optimal entry points with institutional-level precision. Perfect for traders of SPY, QQQ, and high-volume stocks, this indicator eliminates guesswork by providing clear BUY CALLS and BUY PUTS signals based on multiple technical confluences. --- ## 🚀 Key Features ### **Multi-Signal Confluence Engine** - **10+ Technical Indicators** working in harmony - **Weighted Scoring System** (0-30+ points) for signal strength - **Real-time Signal Classification**: Strong vs Moderate signals - **False Signal Reduction** through multi-confirmation requirements ### **Advanced Momentum Analysis** - ✅ RSI with Divergence Detection (bullish & bearish) - ✅ Stochastic Oscillator (oversold/overbought + crossovers) - ✅ MACD with crossover and momentum confirmation - ✅ Automatic divergence spotting for reversal trades ### **Sophisticated Trend Detection** - ✅ Triple EMA System (9/21/50) with alignment scoring - ✅ SuperTrend Indicator with trend flip alerts - ✅ VWAP for institutional price levels - ✅ Multi-timeframe trend confirmation ### **Professional Volume Analysis** - ✅ Volume Spike Detection (vs 20-period average) - ✅ OBV (On-Balance Volume) with divergence detection - ✅ Order Flow Analysis (buy vs sell pressure) - ✅ Relative volume ratio display ### **Advanced Pattern Recognition** - ✅ Bollinger Band Squeeze detection (volatility expansion) - ✅ BB breakout signals (major move initiation) - ✅ Automatic Support & Resistance levels (pivot-based) - ✅ Price reaction scoring at key levels ### **Built-in Risk Management** - ✅ ATR-based Stop Loss calculations - ✅ Customizable Risk:Reward ratios - ✅ Position sizing recommendations - ✅ Real-time profit target calculations ### **Comprehensive Visual Dashboard** - ✅ Live scoring breakdown for all indicators - ✅ Individual signal strength display - ✅ Bull vs Bear score comparison - ✅ Color-coded signal status - ✅ Risk management metrics --- ## 📊 How It Works ### **Scoring System** The indicator assigns points based on technical conditions: | **Category** | **Max Points** | **Conditions** | |-------------|---------------|----------------| | Momentum (RSI/Stoch) | 8 | Oversold/overbought + divergences | | MACD | 4 | Crossovers + momentum direction | | Trend (EMAs) | 6 | EMA alignment + SuperTrend | | Volume | 4 | Spikes + OBV divergences | | Order Flow | 2 | Buy/sell pressure imbalance | | Bollinger Bands | 2 | Squeeze + breakouts | | Support/Resistance | 2 | Price at key levels | | VWAP | 1 | Above/below institutional level | ### **Signal Thresholds** - **🚀 STRONG CALLS**: Bull score ≥6, Net score ≥4 - **📈 CALLS**: Bull score ≥4, Net score ≥2 - **🔥 STRONG PUTS**: Bear score ≥6, Net score ≤-4 - **📉 PUTS**: Bear score ≥4, Net score ≤-2 ### **Multi-Timeframe Filter** Optional higher timeframe confirmation reduces false signals by ensuring the broader trend supports your trade direction. --- ## 🎮 How to Use ### **Installation** 1. Open TradingView Pine Editor 2. Paste the complete indicator code 3. Click "Add to Chart" 4. Customize settings to your preference ### **Recommended Settings** **For SPY/QQQ Day Trading:** - Timeframe: 1-minute or 5-minute - Strong Signal Threshold: 6 - Moderate Signal Threshold: 4 - Multi-timeframe Confluence: ON **For Individual Stocks:** - Timeframe: 5-minute or 15-minute - Increase SuperTrend multiplier to 3.5-4.0 - Enable all advanced features **For Scalping:** - Timeframe: 1-minute - Use STRONG signals only (6+) - Tight stop loss (1.0-1.5 ATR multiplier) ### **Best Trading Times** - **9:30-11:00 AM EST** - Highest volume, strongest signals - **2:00-4:00 PM EST** - Afternoon momentum plays - Avoid 11:30 AM-1:30 PM EST (lunch chop) --- ## 📈 Signal Interpretation ### **What You'll See on Chart:** **Visual Signals:** - 🟢 **Green Triangle (CALLS)**: Bullish entry point - 🟢 **Large Green Triangle (STRONG CALLS)**: High-confidence bullish entry - 🔴 **Red Triangle (PUTS)**: Bearish entry point - 🔴 **Large Red Triangle (STRONG PUTS)**: High-confidence bearish entry - 💎 **Small Diamonds**: RSI/OBV divergences (reversal warning) **Dashboard Information:** - Individual indicator values and signals - Real-time score breakdown - Bull/Bear score totals - ATR stop loss levels ### **Entry Rules:** ✅ **High Probability Trades (Take These):** - Strong signal (6+ score) - 3+ indicators confirming - Volume spike present - SuperTrend aligned - Higher timeframe confirms ⚠️ **Moderate Trades (Smaller Position):** - Moderate signal (4-5 score) - 2+ indicators confirming - Normal volume - Mixed trend signals ❌ **Avoid These:** - Conflicting signals (Bull score ≈ Bear score) - Low volume - During major news events - Bollinger squeeze without breakout direction --- ## 🛡️ Risk Management Guide ### **Position Sizing:** - **Strong Signals (6+)**: 3-5% of portfolio - **Moderate Signals (4-5)**: 2-3% of portfolio - **Low Conviction**: 1-2% or skip ### **Stop Loss Strategy:** - Use ATR-based stops (displayed in dashboard) - Default: 1.5x ATR from entry - Weekly options: 30-50% premium loss maximum - Never hold through stop loss hoping for recovery ### **Profit Targets:** - **Quick Scalps**: 25-50% gain (15-30 min) - **Day Trades**: 50-100% gain (same day exit) - **Swing**: 100-200% gain (1-2 days max for weeklies) - **Take partial profits** at first target, let rest run ### **Time Decay Management (Weekly Options):** - Monday-Wednesday: Hold overnight acceptable on strong signals - Thursday: Close by EOD unless very strong conviction - Friday: Avoid holding overnight, theta decay accelerates --- ## 🔔 Alert Configuration ### **Recommended Alerts:** **Essential Alerts:** 1. 🚀 Strong Buy Calls 2. 🔥 Strong Buy Puts **Advanced Alerts:** 3. 💎 RSI Bullish Divergence 4. ⚠️ RSI Bearish Divergence 5. 🔶 Bollinger Band Squeeze 6. ✅ SuperTrend Bull Flip 7. ❌ SuperTrend Bear Flip **Alert Setup:** - Set frequency: "Once Per Bar Close" - Enable for all devices - Use webhook for automation (optional) --- ## 💡 Pro Trading Tips ### **Maximize Win Rate:** 1. **Wait for confluence** - Best trades have 3+ indicators aligned 2. **Respect the dashboard** - Check WHY it's signaling (which indicators) 3. **Volume is king** - Signals with volume spikes are significantly more reliable 4. **Use BB Squeeze** - When squeeze + signal = explosive directional move 5. **SuperTrend flips** - Major trend change confirmations, very powerful 6. **Watch for divergences** - Diamond markers = hidden reversal opportunities ### **Common Mistakes to Avoid:** ❌ Trading every signal (be selective) ❌ Ignoring volume (volume confirms everything) ❌ Fighting the higher timeframe trend ❌ Oversizing positions on moderate signals ❌ Holding weekly options too long (theta decay) ❌ Trading during lunch hour (11:30-1:30 EST) ### **Advanced Techniques:** - **Divergence + Support/Resistance** = Highest probability reversals - **BB Squeeze + EMA alignment** = Explosive trend continuations - **SuperTrend flip + Volume spike** = Major trend change entries - **Multiple timeframe analysis** - Check 5m signal on 1m chart for precision entries --- ## 📊 Indicator Components Explained ### **RSI (Relative Strength Index)** - Measures momentum and overbought/oversold conditions - Divergences signal potential reversals before they happen - Score: 2-3 points for extremes and divergences ### **Stochastic Oscillator** - Confirms momentum extremes - Crossovers provide entry timing - Score: 1-2 points ### **MACD (Moving Average Convergence Divergence)** - Trend following momentum indicator - Crossovers signal momentum shifts - Score: 1-3 points based on signal strength ### **EMA System (9/21/50)** - Dynamic support and resistance - Alignment shows trend strength - Price position relative to EMAs scores 1-2 points ### **SuperTrend** - Volatility-based trend indicator - Reduces whipsaws in choppy conditions - Trend flips are major signals (2 points) ### **Bollinger Bands** - Volatility measurement - Squeeze = calm before the storm - Breakouts = directional move initiation (2 points) ### **Volume Analysis** - Confirms price movement legitimacy - Spikes validate signals (2 points) - OBV divergences predict reversals (2 points) ### **Order Flow** - Buy vs sell pressure measurement - Institutional footprint detection - Score: 2 points for strong imbalances --- ## 🎓 Learning Path ### **Beginner (Week 1-2):** - Use STRONG signals only - Focus on high-volume stocks (SPY/QQQ) - Trade only first hour of market - Use paper trading first ### **Intermediate (Week 3-4):** - Add moderate signals to your arsenal - Learn to read the dashboard - Understand why each signal triggers - Start combining with support/resistance ### **Advanced (Month 2+):** - Use divergence signals - Trade BB squeeze breakouts - Optimize settings for your style - Develop your own confluence rules --- ## ⚙️ Customization Guide ### **Adjustable Parameters:** **Momentum Settings:** - RSI Length (default: 14) - RSI Oversold/Overbought levels (30/70) - Stochastic Length (14) **Trend Settings:** - EMA periods (9/21/50) - SuperTrend ATR Length (10) - SuperTrend Multiplier (3.0) **Volume Settings:** - Volume MA Length (20) - Volume Spike Threshold (1.5x) **Advanced Settings:** - Bollinger Band Length (20) - BB Standard Deviation (2.0) - Pivot Lookback (10) **Signal Thresholds:** - Strong Signal Score (default: 6) - Moderate Signal Score (default: 4) **Risk Management:** - ATR Length (14) - Stop Loss Multiplier (1.5) - Risk:Reward Ratio (2.0) --- ## 📈 Performance Optimization ### **For Volatile Markets (VIX > 25):** - Increase SuperTrend multiplier to 4.0 - Raise signal thresholds (+1 point) - Tighten stop losses (1.0-1.2 ATR) ### **For Ranging Markets:** - Focus on RSI extremes and divergences - Use BB squeeze signals - Ignore moderate signals - Wait for support/resistance confirmation ### **For Trending Markets:** - Follow SuperTrend direction religiously - Use EMA alignment signals - Allow wider stops (2.0 ATR) - Take partial profits, let winners run --- ## 🔍 Troubleshooting **Too Many Signals:** - Increase signal thresholds to 7/5 - Enable multi-timeframe filter - Trade only STRONG signals **Missing Signals:** - Decrease thresholds to 5/3 - Disable multi-timeframe filter - Check that all features are enabled **Whipsaw in Choppy Markets:** - Increase SuperTrend multiplier - Require volume spike confirmation - Avoid trading 11:30 AM-1:30 PM EST --- ## 🏆 Best Practices ✅ **Always check:** 1. Dashboard shows why signal triggered 2. Volume confirms the move 3. Not during news events 4. Adequate time until expiration ✅ **Risk Management:** 1. Never risk more than 2% per trade 2. Use stops religiously 3. Take profits at targets 4. Don't revenge trade ✅ **Journal Your Trades:** 1. Entry price and signal strength 2. Which indicators triggered 3. Exit price and profit/loss 4. What worked and what didn't --- ## 📞 Support & Updates This indicator is designed to evolve with market conditions. Recommended to: - Review settings monthly - Backtest on your favorite instruments - Adjust thresholds based on your risk tolerance - Keep a trading journal to track performance --- ## ⚠️ Disclaimer This indicator is a tool for technical analysis and should not be used as the sole basis for trading decisions. Options trading involves substantial risk and is not suitable for all investors. Past performance does not guarantee future results. Always: - Do your own research and due diligence - Never invest more than you can afford to lose - Consider consulting with a financial advisor - Practice with paper trading before using real money - Understand options Greeks (Delta, Theta, Gamma, Vega) - Be aware of earnings dates and major news events **No indicator is 100% accurate. Use proper risk management and trade responsibly.** --- ## 📊 Version History **v1.0 - Initial Release** - Multi-signal confluence system - 10+ technical indicators - Advanced dashboard - ATR-based risk management - Comprehensive alert system --- ## 🎯 Final Thoughts **Apex Options Sniper** transforms complex technical analysis into clear, actionable signals. By combining multiple proven indicators with sophisticated scoring logic, it helps traders identify high-probability setups while managing risk effectively. **Success Keys:** - Quality over quantity (be selective) - Risk management is everything - Volume confirms the signal - Confluence increases probability - Discipline beats emotion **Trade smart. Trade with confidence. Trade with Apex Options Sniper.** --- *For questions, suggestions, or to share your success stories, please comment below or send a message.* **Happy Trading! 🚀📈**
Indikator Pine Script®
oleh joshuaramlall421
SMC + OB + FVG + Reversal + UT Bot + Hull Suite – by Fatich.id🎯 7 INTEGRATED SYSTEMS: ✓ Mxwll Suite (SMC + Auto Fibs + CHoCH/BOS) ✓ UT Bot (Trend Signals + Label Management) ✓ Hull Suite (Momentum Analysis) ✓ LuxAlgo FVG (Fair Value Gaps) ✓ LuxAlgo Order Blocks (Volume Pivots) ⭐ NEW ✓ Three Bar Reversal (Pattern Recognition) ✓ Reversal Signals (Momentum Count Style) ⚡ KEY FEATURES: • Smart Money Structure (CHoCH/BOS/I-CHoCH/I-BoS) • Auto Fibonacci (10 customizable levels) • Order Block Detection (Auto mitigation) • Fair Value Gap Tracking • Session Highlights (NY/London/Asia) • Volume Activity Dashboard • Multi-Timeframe Support • Clean Label Management 🎨 PERFECT FOR: • Smart Money Concept Traders • Order Flow & Liquidity Analysis • Support/Resistance Trading • Trend Following & Reversals • Multi-Timeframe Analysis 💡 RECOMMENDED SETTINGS: Clean Charts: OB Count 3, UT Signals 3, FVG 5 Detailed Analysis: OB Count 5-10, All Signals Scalping: Low sensitivity, Hull 20-30 Swing Trading: High sensitivity, Hull 55-100
Indikator Pine Script®
oleh fatich_id
1
Swing High-Low Line ConnectorSwing High-Low Line Connector is a simple and intuitive tool that automatically detects swing highs and swing lows using fractal-style pivot logic and connects them with clean, continuous lines. This indicator helps traders visualize market structure, trend shifts, and swing-based support/resistance levels at a glance. The script identifies each confirmed swing point based on a user-defined lookback window (left/right bars). When a new swing is confirmed, the indicator updates the previous leg or creates a new one, effectively drawing the classic “zigzag-style” connections used in discretionary trading and price-action analysis. A dynamic tail extension is included to show the most recent swing extending toward the current price. By default, the tail follows a ZigZag-style logic—extending upward after a swing low and downward after a swing high—but users can also anchor it to Close, High, Low, or HL2. Features Automatic detection of swing highs and swing lows Clean line connections between swings (similar to discretionary market-structure mapping) Proper consolidation handling: weaker highs/lows are ignored Optional ZigZag-style dynamic tail extension Fully customizable lookback window, line color, and line width Works on any market and timeframe Use Cases Identifying market structure (HH, HL, LH, LL) Visualizing trend transitions Spotting breakout levels and swing-based support/resistance Aiding discretionary swing trading, trend following, or pattern recognition This indicator keeps the logic simple and visual—ideal for traders who prefer clean chart structure without unnecessary noise.
Indikator Pine Script®
oleh SunnySpots
Smart Money Dynamics Blocks - Pearson MatrixSmart Money Dynamics Blocks — Pearson Matrix A structural fusion of Prime Number Theory, Pearson Correlation, and Cumulative Delta Geometry. 1. Mathematical Foundation This indicator is built on the intersection of Prime Number Theory and the Pearson correlation coefficient, creating a structural framework that quantifies how price and time evolve together. Prime numbers — unique, indivisible, and irregular — are used here as nonlinear time intervals. Each prime length (2, 3, 5, 7, 11…97) represents a regression horizon where correlation is measured between price and time. The result is a multi-scale correlation lattice — a geometric matrix that captures hidden directional strength and temporal bias beyond traditional moving averages. 2. The Pearson Matrix Logic For every prime interval p, the indicator calculates the linear correlation: r_p = corr(price, bar_index, p) Each r_p reflects how closely price and time move together across a prime-defined window. All r_p values are then averaged to create avgR, a single adaptive coefficient summarizing overall structural coherence. - When avgR > 0.8 → strong positive correlation (labeled R+). - When avgR < -0.8 → strong negative correlation (labeled R−). This approach gives a mathematically grounded definition of trend — one that isn’t based on pattern recognition, but on measurable correlation strength. 3. Sequential Prime Slope and Median Pivot Using the ordered sequence of 25 prime intervals, the model computes sequential slopes between adjacent primes. These slopes represent the rate of change of structure between two prime scales. A robust median aggregator smooths the slopes, producing a clean, stable directional vector. The system anchors this slope to the 41-bar pivot — the median of the first 25 primes — serving as the geometric midpoint of the prime lattice. The resulting yellow line on the chart is not an ordinary regression line; it’s a dynamic prime-slope function, adapting continuously with correlation feedback. 4. Regression-Style Parallel Bands Around this prime-slope line, the indicator constructs parallel bands using standard deviation envelopes — conceptually similar to a regression channel but recalculated through the prime–Pearson matrix. These bands adjust dynamically to: - Volatility, via standard deviation of residuals. - Correlation strength, via avgR sign weighting. Together, they visualize statistical deviation geometry, making it easier to observe symmetry, expansion, and contraction phases of price structure. 5. Volume and Cumulative Delta Peaks Below the geometric layer, the indicator incorporates a custom lower-timeframe volume feed — by default using 15-second data (custom_tf_input_volume = “15S”). This allows precise delta computation between up-volume and down-volume even on higher timeframe charts. From this feed, the indicator accumulates delta over a configurable period (default: 100 bars). When cumulative delta reaches a local maximum or minimum, peak and trough markers appear, showing the precise bar where buying or selling pressure statistically peaked. This combination of geometry and order flow reveals the intersection of market structure and energy — where liquidity pressure expresses itself through mathematical form. 6. Chart Interpretation The primary chart view represents the live execution of the indicator. It displays the relationship between structural correlation and volume behavior in real time. Orange “R+” and blue “R−” labels indicate regions of strong positive or negative Pearson correlation across the prime matrix. The yellow median prime-slope line serves as the structural backbone of the indicator, while green and red parallel bands act as dynamic regression boundaries derived from the underlying correlation strength. Peaks and troughs in cumulative delta — displayed as numerical annotations — mark statistically significant shifts in buying and selling pressure. The secondary visualization (Prime Regression Concept) expands on this by illustrating how regression behavior evolves across prime intervals. Each colored regression fan corresponds to a prime number window (2, 3, 5, 7, …, 97), demonstrating how multiple regression lines would appear if drawn independently. The indicator integrates these into one unified geometric model — eliminating the need to plot tens of regression lines manually. It’s a conceptual tool to help visualize the internal logic: the synthesis of many small-scale regressions into a single coherent structure. 7. Interpretive Insight This model is not a prediction tool; it’s an instrument of mathematical observation. By translating price dynamics into a prime-structured correlation space, it reveals how coherence unfolds through time — not as a forecast, but as a measurable evolution of structure. It unifies three analytical domains: - Prime distribution — defines a nonlinear temporal architecture. - Pearson correlation — quantifies statistical cohesion. - Cumulative delta — expresses behavioral imbalance in order flow. The synthesis creates a geometric analysis of liquidity and time — where structure meets energy, and where the invisible rhythm of market flow becomes measurable. 8. Contribution & Feedback Share your observations in the comments: - The time gap and alternation between R+ and R− clusters. - How different timeframes change delta sensitivity or reveal compression/expansion. - Prime intervals/clusters that tend to sit near turning points or liquidity shifts. - How avgR behaves across assets or regimes (trending, ranging, high-vol). - Notable interactions with the parallel bands (touches, breaks, mean-revert). Your field notes help others read the model more effectively and compare contexts. Summary - Primes define the structure. - Pearson quantifies coherence. - Slope median stabilizes geometry. - Regression bands visualize deviation. - Cumulative delta locates imbalance. Together, they construct a framework where mathematics meets market behavior.
Indikator Pine Script®
oleh ata_sabanci
12
HammerThis indicator automatically detects powerful candlestick formations such as Hammer, Inverted Hammer, Bullish Engulfing, Hanging Man, Shooting Star, and Bearish Engulfing. It visually marks potential reversal zones on the chart and provides instant Long / Short alerts. By combining pattern recognition with swing levels, it helps you identify possible trend reversals more clearly. A simple, fast, and price-action-focused tool for smarter trading decisions. 💡 Yellow dotted lines indicate possible reaction zones around swing points.
Indikator Pine Script®
oleh SignalSuiteDaphne
5
TTM Squeeze Screener [Pineify]TTM Squeeze Screener for Multiple Crypto Assets and Timeframes This advanced TradingView Pine script, TTM Squeeze Screener, helps traders scan multiple crypto symbols and timeframes simultaneously, unlocking new dimensions in momentum and volatility analysis. Key Features Screen up to 8 crypto symbols across 4 different timeframes in one pane TTM Squeeze indicator detects volatility contraction and expansion (“squeeze”) phases Momentum filter reveals potential breakout direction and strength Visual screener table for intuitive multi-asset monitoring Fully customizable for symbols and timeframes How It Works The heart of this screener is the TTM Squeeze algorithm—a hybrid volatility and momentum indicator leveraging Bollinger Bands, Keltner Channels, and linear momentum analysis. The script checks whether Bollinger Bands are “squeezed” inside Keltner Channels, flagging periods of low volatility primed for expansion. Once a squeeze is released, the included momentum calculation suggests the likely breakout direction. For each selected symbol and timeframe, the screener runs the TTM Squeeze logic, outputs “SQUEEZE” or “NO SQZ”, and tags momentum values. A table layout organizes the results, allowing rapid pattern recognition across symbols. Trading Ideas and Insights Spot multi-symbol volatility clusters—ideal for finding synchronized market moves Assess breakout potential and direction before entering trades Scalping and swing trading decisions are enhanced by cross-timeframe momentum filtering Portfolio managers can quickly identify which assets are about to move How Multiple Indicators Work Together This screener unites three essential concepts: Bollinger Bands : Measure volatility using standard deviation of price Keltner Channels : Define expected price range based on average true range (ATR) Momentum : Linear regression calculation to evaluate the direction and intensity after a squeeze By combining these, the indicator not only signals when volatility compresses and releases, but also adds directional context—filtering false signals and helping traders time entries and exits more precisely. Unique Aspects Multi-symbol, multi-timeframe architecture—optimized for crypto traders and market scanners Advanced table visualization—see all signals at a glance, minimizing cognitive overload Modular calculation functions—easy to adapt and extend for other asset classes or strategies Real-time, low-latency screening—built for actionable alerts on fast-moving markets How to Use Add the script to a TradingView chart (works on custom layouts) Select up to 8 symbols and 4 timeframes using input fields (defaults to BTCUSD, ETHUSD, etc.) Monitor the screener table; “SQUEEZE” highlights assets in potential breakout phase Use momentum values to judge if the squeeze is likely bullish or bearish Combine screener insights with manual chart analysis for optimal results Customization Symbols: Easily set any ticker for deep market scanning Timeframes: Adjust to match your trading horizon (scalping, swing, long-term) Indicator parameters: Refine Bollinger/Keltner/Momentum settings for sensitivity Visuals: Personalize table layout, color codes, and formatting for clarity Conclusion In summary, the TTM Squeeze Screener is a robust, original TradingView indicator designed for crypto traders who demand a sophisticated multi-symbol, multi-timeframe edge. Its combination of volatility and momentum analytics makes it ideal for catching explosive breakouts, managing risk, and scanning the market efficiently. Whether you’re a scalper or swing trader, this screener provides the insights needed to stay ahead of the curve.
Indikator Pine Script®
oleh Pineify
3
ICT Venom Trading Model [TradingFinder] SMC NY Session 2025SetupIntroduction The ICT Venom Model is one of the most advanced strategies in the ICT framework, designed for intraday trading on major US indices such as US100, US30, and US500. This model is rooted in liquidity theory, time and price dynamics, and institutional order flow. The Venom Model focuses on detecting Liquidity Sweeps, identifying Fair Value Gaps (FVG), and analyzing Market Structure Shifts (MSS). By combining these ICT core concepts, traders can filter false breakouts, capture sharp reversals, and align their entries with the real institutional liquidity flow during the New York Session. Key Highlights of ICT Venom Model : Intraday focus : Optimized for US indices (US100, US30, US500). Time element : Critical window is 08:00–09:30 AM (Venom Box). Liquidity sweep logic : Price grabs liquidity at 09:30 AM open. Confirmation tools : MSS, CISD, FVG, and Order Blocks. Dual setups : Works in both Bullish Venom and Bearish Venom conditions. At its core, the ICT Venom Strategy is a framework that explains how institutional players manipulate liquidity pools by engineering false breakouts around the initial range of the market. Between 08:00 and 09:30 AM New York time, a range called the “Venom Box” is formed. This range acts as a trap for retail traders, and once the 09:30 AM market open occurs, price usually sweeps either the high or the low of this box to collect stop-loss liquidity. After this liquidity grab, the market often reverses sharply, giving birth to a classic Bullish Venom Setup or Bearish Venom Setup The Venom Model (ICT Venom Trading Strategy) is not just a pattern recognition tool but a precise institutional trading model based on time, liquidity, and market structure. By understanding the Initial Balance Range, watching for Liquidity Sweeps, and entering trades from FVG zones or Order Blocks, traders can anticipate market reversals with high accuracy. This strategy is widely respected among ICT followers because it offers both risk management discipline and clear entry/exit conditions. In short, the Venom Model transforms liquidity manipulation into actionable trading opportunities. Bullish Setup : Bearish Setup : 🔵 How to Use The ICT Venom Model is applied by observing price behavior during the early hours of the New York session. The first step is to define the Initial Range, also called the Venom Box, which is formed between 08:00 and 09:30 AM EST. This range marks the high and low points where institutional traders often create traps for retail participants. Once the official market opens at 09:30 AM, price usually sweeps either the top or bottom of this box to collect liquidity. After this liquidity grab, the market tends to reverse in alignment with the true directional bias. To confirm the setup, traders look for signals such as a Market Structure Shift (MSS), Change in State of Delivery (CISD), or the appearance of a Fair Value Gap (FVG). These elements validate the reversal and provide precise levels for trade execution. 🟣 Bullish Setup In a Bullish Venom Setup, the market first sweeps the low of the Venom Box after 09:30 AM, triggering sell-side liquidity collection. This downward move is often sharp and deceptive, designed to stop out retail long positions and attract new sellers. Once liquidity is taken, the market typically shifts direction, forming an MSS or CISD that signals a reversal to the upside. Traders then wait for price to retrace into a Fair Value Gap or a demand-side Order Block created during the reversal leg. This retracement offers the ideal entry point for long positions. Stop-loss placement should be just below the liquidity sweep low, while profit targets are set at the Venom Box high and, if momentum continues, at higher session or daily highs. 🟣 Bearish Setup In a Bearish Venom Setup, the process is similar but reversed. After the Initial Range is defined, if price breaks above the Venom Box high following the 09:30 AM open, it signals a false breakout designed to collect buy-side liquidity. This move usually traps eager buyers and clears out stop-losses above the high. After the liquidity sweep, confirmation comes through an MSS or CISD pointing to a reversal downward. At this stage, traders anticipate a retracement into a Fair Value Gap or a supply-side Order Block formed during the reversal. Short entries are taken within this zone, with stop-loss positioned just above the liquidity sweep high. The logical profit targets include the Venom Box low and, in stronger bearish momentum, deeper session or daily lows. 🔵 Settings Refine Order Block : Enables finer adjustments to Order Block levels for more accurate price responses. Mitigation Level OB : Allows users to set specific reaction points within an Order Block, including: Proximal: Closest level to the current price. 50% OB: Midpoint of the Order Block. Distal: Farthest level from the current price. FVG Filter : The Judas Swing indicator includes a filter for Fair Value Gap (FVG), allowing different filtering based on FVG width: FVG Filter Type: Can be set to "Very Aggressive," "Aggressive," "Defensive," or "Very Defensive." Higher defensiveness narrows the FVG width, focusing on narrower gaps. Mitigation Level FVG : Like the Order Block, you can set price reaction levels for FVG with options such as Proximal, 50% OB, and Distal. CISD : The Bar Back Check option enables traders to specify the number of past candles checked for identifying the CISD Level, enhancing CISD Level accuracy on the chart. 🔵 Conclusion The ICT Venom Model is more than just a reversal setup; it is a complete intraday trading framework that blends liquidity theory, time precision, and market structure analysis. By focusing on the Initial Range between 08:00 and 09:30 AM New York time and observing how price reacts at the 09:30 AM open, traders can identify liquidity sweeps that reveal institutional intentions. Whether in a Bullish Venom Setup or a Bearish Venom Setup, the model allows for precise entries through Fair Value Gaps (FVGs) and Order Blocks, while maintaining clear risk management with well-defined stop-loss and target levels. Ultimately, the ICT Venom Model provides traders with a structured way to filter false moves and align their trades with institutional order flow. Its strength lies in transforming liquidity manipulation into actionable opportunities, giving intraday traders an edge in timing, accuracy, and consistency. For those who master its logic, the Venom Model becomes not only a strategy for entry and exit, but also a deeper framework for understanding how liquidity truly drives price in the New York session.
Indikator Pine Script®
oleh TFlab
18
Oscillator Matrix [Alpha Extract]A comprehensive multi-oscillator system that combines volume-weighted money flow analysis with enhanced momentum detection, providing traders with a unified framework for identifying high-probability market opportunities across all timeframes. By integrating two powerful oscillators with advanced confluence analysis, this indicator delivers precise entry and exit signals while filtering out market noise through sophisticated threshold-based regime detection. 🔶 Volume-Weighted Money Flow Analysis Utilizes an advanced money flow calculation that tracks volume-weighted price movements to identify institutional activity and smart money flow. This approach provides superior signal quality by emphasizing high-volume price movements while filtering out low-volume market noise. // Volume-weighted flows up_volume = price_up ? volume : 0 down_volume = price_down ? volume : 0 // Money Flow calculation up_vol_sum = ta.sma(up_volume, mf_length) down_vol_sum = ta.sma(down_volume, mf_length) total_volume = up_vol_sum + down_vol_sum money_flow_ratio = total_volume > 0 ? (up_vol_sum - down_vol_sum) / total_volume : 0 🔶 Enhanced Hyper Wave Oscillator Features a sophisticated MACD-based momentum oscillator with advanced normalization techniques that adapt to different price ranges and market volatility. The system uses percentage-based calculations to ensure consistent performance across various instruments and timeframes. // Enhanced MACD-based oscillator fast_ma = ta.ema(src, hw_fast) slow_ma = ta.ema(src, hw_slow) macd_line = fast_ma - slow_ma signal_line = ta.ema(macd_line, hw_signal) // Proper normalization using percentage of price price_base = ta.sma(close, 50) macd_normalized = macd_line / price_base hyper_wave = macd_range > 0 ? macd_normalized / macd_range : 0 🔶 Multi-Factor Confluence System Implements an intelligent confluence scoring mechanism that combines signals from both oscillators to identify high-probability trading opportunities. The system assigns strength scores based on multiple confirmation factors, significantly reducing false signals. 🔶 Fixed Threshold Levels Uses predefined threshold levels optimized for standard oscillator ranges to distinguish between normal market fluctuations and significant momentum shifts. The dual-threshold system provides clear visual cues for overbought/oversold conditions while maintaining consistent signal criteria across different market conditions. 🔶 Overflow Detection Technology Advanced overflow indicators identify extreme market conditions that often precede major reversals or continuation patterns. These signals highlight moments when market momentum reaches critical levels, providing early warning for potential turning points. 🔶 Dual Oscillator Integration The indicator simultaneously tracks volume-weighted money flow and momentum-based price action through two independent oscillators. This dual approach ensures comprehensive market analysis by capturing both institutional activity and technical momentum patterns. // Multi-factor confluence scoring confluence_bull = (mf_bullish ? 1 : 0) + (hw_bullish ? 1 : 0) + (mf_overflow_bull ? 1 : 0) + (hw_overflow_bull ? 1 : 0) confluence_bear = (mf_bearish ? 1 : 0) + (hw_bearish ? 1 : 0) + (mf_overflow_bear ? 1 : 0) + (hw_overflow_bear ? 1 : 0) confluence_strength = confluence_bull > confluence_bear ? confluence_bull / 4 : -confluence_bear / 4 🔶 Intelligent Signal Generation The system generates two tiers of reversal signals: strong signals that require multiple confirmations across both oscillators, and weak signals that identify early momentum shifts. This hierarchical approach allows traders to adjust position sizing based on signal strength. 🔶 Visual Confluence Zones Background coloring dynamically adjusts based on confluence strength, creating visual zones that immediately communicate market sentiment. The intensity of background shading corresponds to the strength of the confluent signals, making pattern recognition effortless. 🔶 Threshold Visualization Color-coded threshold zones provide instant visual feedback about oscillator positions relative to key levels. The fill areas between thresholds create clear overbought and oversold regions with graduated color intensity. 🔶 Candle Color Integration Optional candle coloring applies confluence-based color logic directly to price bars, creating a unified visual framework that helps traders correlate indicator signals with actual price movements for enhanced decision-making. 🔶 Overflow Alert System Specialized circular markers highlight extreme overflow conditions on both oscillators, drawing attention to potential climax moves that often precede significant reversals or accelerated trend continuation. 🔶 Customizable Display Options Comprehensive display controls allow traders to toggle individual components on or off, enabling focused analysis on specific aspects of the indicator. This modularity ensures the indicator adapts to different trading styles and analytical preferences. 1 Week 1 Day 15 Min This indicator provides a complete analytical framework by combining volume analysis with momentum detection in a single, coherent system. By offering multiple confirmation layers and clear visual hierarchies, it empowers traders to identify high-probability opportunities while maintaining precise risk management across all market conditions and timeframes. The sophisticated confluence system ensures that signals are both timely and reliable, making it an essential tool for serious technical analysts.
Indikator Pine Script®
oleh AlphaExtract
3
FU + SMI Validator (Proper FU, 30m)Overview The FU + SMI Validator is a sophisticated technical analysis indicator designed to detect Proper FU (Fakeouts or Liquidity Sweeps) on the 30-minute timeframe. This tool aims to help traders identify high-probability reversal setups that occur when price briefly breaks key levels (sweeping liquidity), then reverses with momentum confirmation. Fakeouts are common market events where price action “hunts stops” before reversing direction. Correctly identifying these events can offer excellent entry points with defined risk. This indicator combines price action logic with momentum and volatility filters to provide reliable signals. Core Concepts Proper FU (Fakeout) Detection At its core, the script identifies proper fakeouts by checking if the current bar’s price: For bullish fakeouts: dips below the previous bar’s low (sweeping stops) and then closes above the previous bar’s high For bearish fakeouts: spikes above the previous bar’s high and then closes below the previous bar’s low This ensures that the breakout is a true sweep rather than just a one-sided close. Optionally, the script can require one additional confirmation bar after the FU, ensuring that the momentum is sustained and reducing false signals. SMI-style Momentum Validation To improve the quality of signals, the indicator uses a proxy for the Stochastic Momentum Index (SMI) by calculating the difference between current and past linear regression slopes of price. This momentum check helps ensure that fakeouts occur alongside actual directional strength. Key points: Momentum must be increasing in the direction of the FU signal. Momentum filters can be enabled or disabled based on user preference. Squeeze Condition to Avoid Low-Volatility Traps The script includes a volatility filter based on a squeeze-like condition: It compares Bollinger Bands (BB) and Keltner Channels (KC). When BB bands contract inside KC bands, the market is in a squeeze state, signaling low volatility. Fakeouts during squeeze conditions are often unreliable; the script can filter these out to reduce false alarms. Killzone Session Timing Filter Recognizing that liquidity and volatility vary by session, this tool supports optional filtering for: London Killzone: 09:00 to 10:30 (UK time) New York Killzone: 13:00 to 14:30 (UK time) Signals only trigger during these high-activity windows if enabled, helping traders focus on periods with the best liquidity and market participation. Note: For Killzone filtering to work accurately, your TradingView chart must be set to the UK timezone. Features & Benefits Robust FU detection ensures the breakout price action is meaningful, reducing noise. Momentum filter via linear regression slope captures trend strength in a smooth, mathematically sound way. Low-volatility squeeze avoidance helps reduce false signals in choppy or range-bound markets. Killzone timing filter focuses your attention on the most liquid and active market hours. Optional confirmation bar increases signal reliability. Raw FU markers allow visualization of all detected fakeouts for pattern recognition and manual analysis. Alerts built-in for both valid buy and sell FU setups, enabling real-time notification and quicker decision-making. Customization Options Killzone usage: Enable or disable the session timing filter. Sessions: Configure London and New York killzone time ranges. Momentum alignment: Enable or disable momentum filter based on SMI proxy. Volatility filter: Avoid signals during squeeze or low-volatility conditions. FU confirmation: Option to require one additional confirming candle after the initial FU. Squeeze and momentum parameters: Adjust Bollinger Bands length and multiplier, Keltner Channel length and ATR multiplier. Raw FU markers: Show or hide all detected fakeouts regardless of filters. How to Use This Indicator Apply to 30-minute charts for forex pairs, indices, cryptocurrencies, or other instruments. Set your chart timezone to UK time if using Killzone filters. Adjust input parameters based on your preferred sessions and risk tolerance. Look for green “VALID BUY FU” labels below bars for bullish fakeout entries. Look for red “VALID SELL FU” labels above bars for bearish fakeout entries. Use the alert system to receive notifications on setups. Combine with your existing analysis or risk management strategy for entries, stops, and profit targets. Why Use FU + SMI Validator? Fakeouts are some of the most lucrative but tricky setups for many traders. Without proper filters, they can lead to false entries and losses. This script integrates price action, momentum, volatility, and session timing into one package, providing a robust tool to spot high-quality fakeout opportunities and improve trading confidence. Limitations Requires chart to be set to UK timezone for session filters. Designed specifically for 30-minute timeframe — performance on other timeframes may vary. Momentum is a proxy, not a direct SMI calculation. Like all indicators, best used in conjunction with sound risk management and other analysis tools. Potential Enhancements Conversion into a full strategy script for backtesting entries and exits. Addition of other momentum indicators (RSI, MACD) or volume filters. Customizable time zones or auto time zone detection. Multi-timeframe analysis capabilities. Visual dashboard for summary of signal stats.
Indikator Pine Script®
oleh frazerlittle
2
Volume Stack EmojisVolume Stack visualizes market bias and momentum for each candle using intuitive emojis in a dedicated bottom pane, keeping your main price chart clean and focused. The indicator analyzes where price closes within each bar’s range to estimate bullish or bearish pressure and highlights key momentum shifts. Features: Bullish and Bearish States: 🟩 Green square: Normal bullish candle 🟥 Red square: Normal bearish candle Strong Bullish/Bearish: 🟢 Green circle: Strong bullish (close near high) 🔴 Red circle: Strong bearish (close near low) Critical Transitions: ✅ Green checkmark: Bearish → strong bullish (momentum reversal up) ❌ Red cross: Bullish → strong bearish (momentum reversal down) Easy Visual Scanning: Emojis plotted in the indicator’s own pane for rapid pattern recognition and clean workflow. No overlays: Keeps all symbols off the main price pane. How it works: For each candle, the indicator calculates the percentage distance of the close price within the high/low range, then classifies and marks: Normal bullish/bearish: Basic directional bias Strong signals: Close is at least 75% toward the high (bullish) or low (bearish) Transitions: Detects when the market suddenly flips from bullish to strong bearish (❌), or bearish to strong bullish (✅), pinpointing possible inflection points. This indicator is ideal for traders who want a simple, non-intrusive visualization of intrabar momentum and key reversals—making trend reading and market sentiment effortless.
Indikator Pine Script®
oleh EMBurlington
Nifty50 Swing Trading Super Indicator# 🚀 Nifty50 Swing Trading Super Indicator - Complete Guide **Created by:** Gaurav **Date:** August 8, 2025 **Version:** 1.0 - Optimized for Indian Markets --- ## 📋 Table of Contents 1. (#quick-start-guide) 2. (#indicator-overview) 3. (#installation-instructions) 4. (#parameter-settings) 5. (#signal-interpretation) 6. (#trading-strategy) 7. (#risk-management) 8. (#optimization-tips) 9. (#troubleshooting) --- ## 🎯 Quick Start Guide ### What You Get ✅ **2 Complete Pine Script Indicators:** - `swing_trading_super_indicator.pine` - Universal version for all markets - `nifty_optimized_super_indicator.pine` - Specifically optimized for Nifty50 & Indian stocks ✅ **Key Features:** - Multi-component signal confirmation system - Optimized for daily and 3-hour timeframes - Built-in risk management with dynamic stops and targets - Real-time signal strength monitoring - Gap analysis for Indian market characteristics ### Immediate Setup 1. Copy the Pine Script code from `nifty_optimized_super_indicator.pine` 2. Paste into TradingView Pine Editor 3. Add to chart on daily or 3-hour timeframe 4. Look for 🚀BUY and 🔻SELL signals 5. Use the information table for signal confirmation --- ## 🔍 Indicator Overview ### Core Components Integration **🎯 Range Filter (35% Weight)** - Primary trend identification using adaptive volatility filtering - Optimized sampling period: 21 bars for Indian market volatility - Enhanced range multiplier: 3.0 to handle market gaps - Provides trend direction and strength measurement **⚡ PMAX (30% Weight)** - Volatility-adjusted trend confirmation using ATR-based calculations - Dynamic multiplier adjustment based on market volatility - 14-period ATR with 2.5 multiplier for swing trading sensitivity - Offers trailing stop functionality **🏗️ Support/Resistance (20% Weight)** - Dynamic level identification using pivot point analysis - Tighter channel width (3%) for precise Indian market levels - Enhanced strength calculation with historical interaction weighting - Provides entry/exit timing and breakout signals **📊 EMA Alignment (15% Weight)** - Multi-timeframe moving average confirmation - Key EMAs: 9, 21, 50, 200 (popular in Indian markets) - Hierarchical alignment scoring for trend strength - Additional trend validation layer ### Advanced Features **🌅 Gap Analysis** - Automatic detection of significant price gaps (>2%) - Gap strength measurement and impact on signals - Specific optimization for Indian market overnight gaps - Visual gap markers on chart **⏰ Multi-Timeframe Integration** - Higher timeframe bias from daily/weekly data - Configurable daily bias weight (default 70%) - 3-hour confirmation for precise entry timing - Prevents counter-trend trades against major timeframe **🛡️ Risk Management** - Dynamic stop-loss calculation using multiple methods - Automatic profit target identification - Position sizing guidance based on signal strength - Anti-whipsaw logic to prevent false signals --- ## 📥 Installation Instructions ### Step 1: Access TradingView 1. Open TradingView.com 2. Navigate to Pine Editor (bottom panel) 3. Create a new indicator ### Step 2: Copy the Code **For Nifty50 & Indian Stocks (Recommended):** ```pinescript // Copy entire content from nifty_optimized_super_indicator.pine ``` **For Universal Use:** ```pinescript // Copy entire content from swing_trading_super_indicator.pine ``` ### Step 3: Configure and Apply 1. Click "Add to Chart" 2. Select daily or 3-hour timeframe 3. Adjust parameters if needed (defaults are optimized) 4. Enable alerts for signal notifications ### Step 4: Verify Installation - Check that all components are visible - Confirm information table appears in top-right - Test with known trending stocks for signal validation --- ## ⚙️ Parameter Settings ### 🎯 Range Filter Settings ``` Sampling Period: 21 (optimized for Indian market volatility) Range Multiplier: 3.0 (handles overnight gaps effectively) Source: Close (most reliable for swing trading) ``` ### ⚡ PMAX Settings ``` ATR Length: 14 (standard for daily/3H timeframes) ATR Multiplier: 2.5 (balanced for swing trading sensitivity) Moving Average Type: EMA (responsive to price changes) MA Length: 14 (matches ATR period for consistency) ``` ### 🏗️ Support/Resistance Settings ``` Pivot Period: 8 (shorter for Indian market dynamics) Channel Width: 3% (tighter for precise levels) Minimum Strength: 3 (higher quality levels only) Maximum Levels: 4 (focus on strongest levels) Lookback Period: 150 (sufficient historical data) ``` ### 🚀 Super Indicator Settings ``` Signal Sensitivity: 0.65 (balanced for swing trading) Trend Strength Requirement: 0.75 (high quality signals) Gap Threshold: 2.0% (significant gap detection) Daily Bias Weight: 0.7 (strong higher timeframe influence) ``` ### 🎨 Display Options ``` Show Range Filter: ✅ (trend visualization) Show PMAX: ✅ (trailing stops) Show S/R Levels: ✅ (key price levels) Show Key EMAs: ✅ (trend confirmation) Show Signals: ✅ (buy/sell alerts) Show Trend Background: ✅ (visual trend state) Show Gap Markers: ✅ (gap identification) ``` --- ## 📊 Signal Interpretation ### 🚀 BUY Signals **Requirements for BUY Signal:** - Price above Range Filter with upward trend - PMAX showing bullish direction (MA > PMAX line) - Support/resistance breakout or favorable positioning - EMA alignment supporting upward movement - Higher timeframe bias confirmation - Overall signal strength > 75% **Signal Strength Indicators:** - **90-100%:** Extremely strong - Maximum position size - **80-89%:** Very strong - Large position size - **75-79%:** Strong - Standard position size - **65-74%:** Moderate - Reduced position size - **<65%:** Weak - Wait for better opportunity ### 🔻 SELL Signals **Requirements for SELL Signal:** - Price below Range Filter with downward trend - PMAX showing bearish direction (MA < PMAX line) - Resistance breakdown or unfavorable positioning - EMA alignment supporting downward movement - Higher timeframe bias confirmation - Overall signal strength > 75% ### ⚖️ NEUTRAL Signals **Characteristics:** - Conflicting signals between components - Low overall signal strength (<65%) - Range-bound market conditions - Wait for clearer directional bias ### 📈 Information Table Guide **Component Status:** - **BULL/BEAR:** Current signal direction - **Strength %:** Component contribution strength - **Status:** Additional context (STRONG/WEAK/ACTIVE/etc.) **Overall Signal:** - **🚀 STRONG BUY:** All systems aligned bullish - **🔻 STRONG SELL:** All systems aligned bearish - **⚖️ NEUTRAL:** Mixed or weak signals --- ## 💼 Trading Strategy ### Daily Timeframe Strategy **Setup:** 1. Apply indicator to daily chart of Nifty50 or Indian stocks 2. Wait for 🚀BUY or 🔻SELL signal with >75% strength 3. Confirm higher timeframe bias alignment 4. Check for significant support/resistance levels **Entry:** - Enter on signal bar close or next bar open - Use 3-hour chart for precise entry timing - Avoid entries during major news events - Consider gap analysis for overnight positions **Position Sizing:** - **>90% Strength:** 3-4% of portfolio - **80-89% Strength:** 2-3% of portfolio - **75-79% Strength:** 1-2% of portfolio - **<75% Strength:** Avoid or minimal size ### 3-Hour Timeframe Strategy **Setup:** 1. Confirm daily timeframe bias first 2. Apply indicator to 3-hour chart 3. Look for signals aligned with daily trend 4. Use for entry/exit timing optimization **Entry Refinement:** - Wait for 3H signal confirmation - Enter on pullbacks to key levels - Use tighter stops for better risk/reward - Monitor intraday support/resistance ### Risk Management Rules **Stop Loss Placement:** 1. **Primary:** Use indicator's dynamic stop level 2. **Secondary:** Below/above nearest support/resistance 3. **Maximum:** 2-3% of portfolio per trade 4. **Trailing:** Move stops with PMAX line **Profit Taking:** 1. **Target 1:** First resistance/support level (50% position) 2. **Target 2:** Second resistance/support level (30% position) 3. **Runner:** Trail remaining 20% with PMAX **Position Management:** - Review positions at daily close - Adjust stops based on new signals - Exit if trend changes to opposite direction - Reduce size during high volatility periods --- ## 🎯 Optimization Tips ### For Nifty50 Trading - Use daily timeframe for primary signals - Monitor sector rotation impact - Consider index futures for better liquidity - Watch for RBI policy and global cues impact ### For Individual Stocks - Verify stock follows Nifty correlation - Check sector-specific news and events - Ensure adequate liquidity for position size - Monitor earnings calendar for volatility ### Market Condition Adaptations **Trending Markets:** - Increase position sizes for strong signals - Use wider stops to avoid whipsaws - Focus on trend continuation signals - Reduce counter-trend trading **Range-Bound Markets:** - Reduce position sizes - Use tighter stops and quicker profits - Focus on support/resistance bounces - Increase signal strength requirements **High Volatility Periods:** - Reduce overall exposure - Use smaller position sizes - Increase stop-loss distances - Wait for clearer signals ### Performance Monitoring - Track win rate and average profit/loss - Monitor signal quality over time - Adjust parameters based on market changes - Keep trading journal for pattern recognition --- ## 🔧 Troubleshooting ### Common Issues **Q: Signals appear too frequently** A: Increase "Trend Strength Requirement" to 0.8-0.9 **Q: Missing obvious trends** A: Decrease "Signal Sensitivity" to 0.5-0.6 **Q: Too many false signals** A: Enable "3H Confirmation" and increase strength requirements **Q: Indicator not loading** A: Check Pine Script version compatibility (requires v5) ### Parameter Adjustments **For More Sensitive Signals:** - Decrease Signal Sensitivity to 0.5-0.6 - Decrease Trend Strength Requirement to 0.6-0.7 - Increase Range Filter multiplier to 3.5-4.0 **For More Conservative Signals:** - Increase Signal Sensitivity to 0.7-0.8 - Increase Trend Strength Requirement to 0.8-0.9 - Enable all confirmation features ### Performance Issues - Reduce lookback periods if chart loads slowly - Disable some visual elements for better performance - Use on liquid stocks/indices for best results --- ## 📞 Support & Updates This super indicator combines the best of Range Filter, PMAX, and Support/Resistance analysis specifically optimized for Indian market swing trading. The multi-component approach significantly improves signal quality while the built-in risk management features help protect capital. **Remember:** No indicator is 100% accurate. Always combine with proper risk management, market analysis, and your trading experience for best results. **Happy Trading! 🚀**
Indikator Pine Script®
oleh WinningTurtle