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Indicators and strategies

PSAR LRC [CRT Trader] SAR (Stop and Reverse) is a technical indicator used in financial markets to track trends and identify potential reversal points. The indicator plots SAR calculations at three different speeds as dot markers above or below the candlesticks. If all three dots are below, it is considered a bullish signal; if they are above, it is considered a bearish signal. In addition to the indicator, a Linear Regression Channel has been added. These lines can provide information such as trend direction, support, resistance, and potential breakouts.
Pine Script® indicator
by venusbtc
2
Scalper Pro Pattern Recognition & Price Action👑Scalper Pro®👑Pattern Recognition & Price Action i.postimg.cc Introducing the ultimate trading robot designed for serious investors! Our advanced bot analyzes market cycles, tracks targets, sets stop losses, and expertly manages your capital. With powerful algorithms and real-time insights, it identifies opportunities and delivers accurate signals, ensuring you never miss a market move. Take control of your trading strategy and maximize your profits with our cutting-edge technology. Join the future of trading today—your expert assistant is ready to help you succeed! 💡 This is not just another indicator — it's a complete trading assistant that identifies structure, signals strength, and simplifies decision-making. 🚀 Plug it into your TradingView chart today and start seeing the market in a whole new way. 💬 Need help with access, backtesting, or have any questions about our indicators? Our support team is available 24/7 on Telegram. Just reach out through the link below: 👉 t.me
Pine Script® indicator
by DrFXAi
1
GOD Scalper TURBO Pattern Recognition & Price Action🚀 Introducing: 👑Scalper TURBO👑 – Your Ultimate TradingView Companion for High-Speed Scalping & Auto-Trading! Trade Smarter. Trade Faster. Trade Automated. The world's fastest scalper robot with the ability to analyze and trade in second-by-second time frames with an incredible 900% monthly profitability. 🔥 What is 👑Scalper TURBO👑? Scalper TURBO is a high-performance Pine Script 5 strategy designed for aggressive and intelligent scalping on TradingView. It combines breakout detection, multi-indicator confirmation, time-based filtering, and full PineConnector integration for automated live trading with MetaTrader 5 (MT5). Whether you want to backtest, trade manually, or connect with MT5 via PineConnector – this tool is your edge. ⚙️ Key Features ✅ Fast Execution Logic — Uses real-time tick data with calc_on_every_tick=true ✅ EMA, SMA, RSI & ATR Filters — Combines trend, momentum, and volatility in one strategy ✅ Breakout Strategy — Trades breakouts above resistance or below support ✅ Multi-Time Filter Zones — 4 customizable intraday trading windows to avoid choppy hours ✅ PineConnector-Ready — Seamless alerts for auto-trading with MT5, customizable lot sizes ✅ Dynamic Stop Loss / Take Profit — Based on ATR multipliers for adaptable risk ✅ Trail Stop Support — Optional trailing stop-loss system ✅ Built-in Risk Labels — Live performance and signal info right on the chart ✅ Minimal Resource Usage — Pre-computed constants and cached indicators for speed ✅ Recommended Use Cases: XAUUSD / Gold scalping (default) 1m to 5m charts (for high-frequency setups) Live auto-trading via PineConnector Backtesting and optimization with historical data 🧠 Pro Tips For best results, run it during high-volume market hours (enable time filters like London/NY session). Use trailing stop in volatile assets for maximizing gains. Integrate with PineConnector Pro for seamless MT5 execution. Combine with your own overlays or confirmation tools. 📣 Join the Movement 💬 Created by @DrFXAi – follow on TradingView for updates, improvements, and more elite scripts. 🚀 Ready to Automate Your Edge? 📌 Add 👑Scalper TURBO👑 to your chart today and take control of your scalping game with automation, speed, and intelligence! 💬 Need help with access, backtesting, or have any questions about our indicators? Our support team is available 24/7 on Telegram. Just reach out through the link below: 👉 t.me
Pine Script® strategy
by DrFXAi
2
Adaptive Market Profile – Auto Detect & Dynamic Activity ZonesAdaptive Market Profile is an advanced indicator that automatically detects and displays the most relevant trend channel and market profile for any asset and timeframe. Unlike standard regression channel tools, this script uses a fully adaptive approach to identify the optimal period, providing you with the channel that best fits the current market dynamics. The calculation is based on maximizing the statistical significance of the trend using Pearson’s R coefficient, ensuring that the most relevant trend is always selected. Within the selected channel, the indicator generates a dynamic market profile, breaking the price range into configurable zones and displaying the most active areas based on volume or the number of touches. This allows you to instantly identify high-activity price levels and potential support/resistance zones. The “most active lines” are plotted in real-time and always stay parallel to the channel, dynamically adapting to market structure. Key features: - Automatic detection of the optimal regression period: The script scans a wide range of lengths and selects the channel that statistically represents the strongest trend. - Dynamic market profile: Visualizes the distribution of volume or price touches inside the trend channel, with customizable section count. - Most active zones: Highlights the most traded or touched price levels as dynamic, parallel lines for precise support/resistance reading. - Manual override: Optionally, users can select their own channel period for full control. - Supports both linear and logarithmic charts: Simple toggle to match your chart scaling. Use cases: - Trend following and channel trading strategies. - Quick identification of dynamic support/resistance and liquidity zones. - Objective selection of the most statistically significant trend channel, without manual guesswork. - Suitable for all assets and timeframes (crypto, stocks, forex, futures). Originality: This script goes beyond basic regression channels by integrating dynamic profile analysis and fully adaptive period detection, offering a comprehensive tool for modern technical analysts. The combination of trend detection, market profile, and activity zone mapping is unique and not available in TradingView built-ins. Instructions: Add Adaptive Market Profile to your chart. By default, the script automatically detects the optimal channel period and displays the corresponding regression channel with dynamic profile and activity zones. If you prefer manual control, disable “Auto trend channel period” and set your preferred period. Adjust profile settings as needed for your asset and timeframe. For questions, suggestions, or further customization, contact Julien Eche (@Julien_Eche) directly on TradingView.
Pine Script® indicator
by Julien_Eche
1
Auto Channel [SciQua]Auto Channel Purpose Auto Channel finds the single best parallel price channel from recent price action and keeps it updated in real time. It uses ZigZag pivots to build candidate channels, scores each candidate for quality, then plots the winner. When price closes outside the channel, the script flags a breakout and can fire alerts. How it works 1. ZigZag pivots The script uses TradingView’s TradingView/ZigZag/7 library to generate a stream of swing highs and lows based on a percentage reversal threshold and a leg depth. These pivots are the only points the channel logic evaluates, which keeps the search fast and focused on structure rather than noise. 2. Channel candidates From the most recent pivots, the script forms all combinations of two swing highs and two swing lows. It computes a slope for the high line and a slope for the low line and requires that they be nearly parallel within a user-defined tolerance. 3. Quality scoring and selection For every valid candidate, the script checks the recent pivot segments against the trial channel and computes: Inside ratio: fraction of tested pivots that sit fully inside the channel after applying the tolerance buffer. Violation sum: total magnitude of the breaches for any pivots outside the channel. Current width: distance between upper and lower lines at the current bar. The “best” channel is chosen by: 1. highest inside ratio 2. then widest current width 3. then smallest violation sum 4. Plot and projection The upper and lower lines are anchored to the chosen pivot pairs and extend to the left. The script also projects each line to the current bar to compute the live upper and lower channel prices. Those levels drive the breakout checks and alerts. 5. Breakouts and alerts A breakout is detected when the bar closes above the projected upper line or closes below the projected lower line, after applying the tolerance buffer. Triangle markers highlight fresh breakouts, and you can enable alert conditions to automate notification or strategy handoff. Inputs: ZigZag Price deviation for reversals (%) Default 0.2. Larger values produce fewer, larger swings. Smaller values produce more, smaller swings. Pivot legs Default 2. Controls the lookback depth ZigZag uses to confirm pivots. ZigZag Color Visual only. Tip: If you are not seeing a stable channel, increase the ZigZag percentage to reduce minor swings. Channel search Number of recent pivots to consider Default 12. Higher values search more history and try more channel combinations. Lower values make the search faster and more reactive. Max slope difference for parallel Default 0.0005. Maximum allowed difference between the upper and lower line slopes. Smaller values enforce stricter parallelism. Max price tolerance outside channel Default 0.0. A buffer added to the channel boundaries during validation and breakout checks. Use this to ignore tiny wicks that poke the lines. Minimum inside to outside pivots ratio for valid channel (0.00–1.00) Default 1.00. Require that at least this fraction of checked pivots lie inside the channel. For a more permissive fit, try 0.60 to 0.85. Styling Upper Line Color Lower Line Color Breakout Above Color Breakout Below Color Plots and visuals Upper channel line Lower channel line Triangle markers on the bar that first confirms a close outside the channel, above or below. Lines extend left from their pivot anchors. Projection to the current bar is used internally to test for breakouts and to set alerts. Alerts The script defines two alert conditions: Close Above Channel Triggers when the bar closes above the projected upper line plus tolerance. Close Below Channel Triggers when the bar closes below the projected lower line minus tolerance. Practical usage Trend channels In a steady trend, a high inside ratio with a moderate width often highlights the dominant channel. Consider trend entries near the lower line in an uptrend or near the upper line in a downtrend, with exits or stops beyond the opposite boundary. Breakout trades Combine the channel breakout alert with volume or a separate momentum filter. The tolerance input helps avoid false triggers from small wicks. Tuning for timeframe and symbol • Faster markets or lower timeframes usually benefit from a larger ZigZag percentage and a smaller pivot count. • Slower markets or higher timeframes can use more pivots and a tighter slope difference to enforce cleaner geometry. Notes and limitations Channels are derived from ZigZag pivots. If your ZigZag settings change, the detected channel will also change. The script plots only the single best channel at any time to keep the chart clean. Breakout markers appear on confirmed bars. For historical bars, markers appear only where a breakout would have been confirmed at that time. Lines extend left from their anchors. The script projects the lines internally to the current bar for checks and alerts. License and attribution License Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0). Open source for educational and personal use only. Commercial use requires written permission. Attribution © 2025 SciQua — Joshua Danford Libraries Uses TradingView/ZigZag/7. Changelog v1.0 Initial release. Automatic parallel channel detection from ZigZag pivots, quality scoring, live plotting, and close-based breakout alerts. FAQ Why do I not see any channel sometimes? There may not be a valid pair of highs and lows that pass the slope, inside ratio, and tolerance checks. Loosen the constraints by increasing Max slope difference, lowering Minimum inside ratio, or increasing the ZigZag percentage. The channel looks too narrow or too wide? Adjust Number of recent pivots and Minimum inside ratio. A higher inside ratio tends to favor cleaner, sometimes wider channels. A lower ratio may admit narrower, more reactive channels. How can I reduce false breakout alerts? Increase Max price tolerance outside channel to ignore small wicks. Add a volume or momentum confirmation in your personal alert workflow. Thank you for using Auto Channel . Feedback and improvements are welcome.
Pine Script® indicator
by JoshuaDanford
3
5-Min Scalping Indicator (EMA + VWAP)5-Min Scalping Indicator (EMA + VWAP) Strategy Logic (for 5-min timeframe): Long Entry: Price above VWAP, EMA Fast crosses above EMA Slow. Short Entry: Price below VWAP, EMA Fast crosses below EMA Slow. Exit: On opposite EMA cross or trailing stop (optional for strategy). How to Use: Apply this on a 5-minute chart. Look for buy signals when: Fast EMA crosses above Slow EMA. Price is above VWAP. Look for sell signals when: Fast EMA crosses below Slow EMA. Price is below VWAP. Combine with price action or volume confirmation for best results.
Pine Script® indicator
by moneypots
Rahu Cycle This script is showing special “Rahu times” for markets like old man watch sun for rain or farming. It make colorful boxes on chart say, “from this date to that date, market like this sign.” Like, maybe market very good, or very bad, or going up, or down, just like weather season change. You see table on chart, color, big words - it tell when Rahu (shadow planet in Indian myth) move from one place to next. Say “Mesh/Aries: Market going up, Pisces: market falling.” It’s like old people telling “From June to July, rain come, crop grow.” It remember big crash, recession, boom - it show label on those dates, so you see “oh, here big problem come.” Like “2008: crash, 2015: China problem, 2009: market at lowest.” It make chart background colored also, so you know which Rahu phase now, like green for very bad, red for super boom—just like traffic light for market activity. All these things come in TradingView chart as colored boxes and notes, you don’t need read big book. Just look, see color, understand—market going up, or danger coming, or safe time. So, this script… make market ups-and-downs simple for you. Rahu go from one sign to next, market change color, you see, you decide. No need expert—just see color, follow cycle, stay safe.
Pine Script® indicator
by Dshergill
2
TZtraderTZtrader This is a TrendZones version with features to set stoploss and targets in short and long positions meant for use in intraday charts. It aims to provide signals for opening and closing long and short positions. In the comments under the TrendZones publication several people expressed a need for features for a short position similar to those for a long position as implemented in TrendZones, some want to use it for scalping, some asked for alerts. When I proposed to create a version for day trading with target lines based on ATR, several people liked the idea. Full disclosure: I don’t do day trading, because, after I lost a lot of money, I had to promise my wife to stay away from it. I restrict myself to long term investing in stocks which are in uptrend. However I understand what a day trader needs. I gather from my experience that day trading or scalping is an attempt to earn something by opening a position in the morning and close, reopen and close it again during the day with a profit. It is usually done with leveraged instruments like CFD’s, futures, options, and what have you. Opening and closing positions is done within minutes, so the trader needs a quick and efficient way to set proper stoploss and target. TZtrader supports this by showing only three or four numbers on the price bar: The price of the instrument, The logical stop level (gray or green or maroon dots), and the target level (navy). All other numbers are suppressed to prevent mistakes. Also a clear feedback for current settings at the top-center of the pane and an alert feedback at bottom that flashes alerts during the development of the current bar and gives suppression status. The script First I made a bare bones version of TrendZones to which I added code for long and short trading setups and a bare setup for no position. The code for the logical stops in long setup had to be reviewed, after which this became the basis for stops in short setup. Then I added code for 10 alert messages, which was a hassle, because this is the first time I coded alerts and the first time I used an array as a stack to avoid a complicated if-then construction. During testing the array caused a runtime error which I solved by adding ‘array.clear’ to the code, also I discovered that in TradingView separate alerts have to be created for all three setups - short, long and bare. Flipping setups is done in the inputs with a dropdown menu because Pine Script has no function for a clickable button. One visual with three setups. The visual has the TrendZones structure: Three near parallel very smooth curves, which border the moderate uptrend (green) and downtrend (orange) zone over and under the curve in the middle, the COG (Center Of Gravity). Where the price breaks out of these curves, strong trend zones show up over and under the curves, respectively strong uptrend (blue) and strong downtrend (red). Three setups were made clearly different to avoid confusion and to provide oversight in case of multiple trades going on simultaneously which I imagine are monitored in one screen. You have to see which one is long, which short and which have no position. The long setup should not trigger short signals, nor should the short trigger long signals nor the bare setup exclusive long or short signals. The Long setup is default, shown on the example chart. In this setup the Stoploss suggestions (green, gray and maroon dots) are under the price bars and the target line (navy) at a set distance above the High Border. A zone with a width of 1 ATR is drawn under the Low Border. In this setup 5 specific alerts are provided The Short setup has the Stoploss suggestions over the price bars, the target line at a set distance under the Low Border. A zone with a width of 1 ATR is drawn above the High Border. This setup also has 5 specific alerts. The Bare setup has no Stoploss suggestions, no target line and supports 4 alerts, 2 in common with the Long setup and 2 with Short. The table below gives a summary of scripted alerts: Setup = Where = When = Purpose Long, Bare = Green Zone = Bars come from lower zones = Uptrend starts Long, Bare = Green Zone = Sideways ends in uptrend = Uptrend resumes Long = COG = First crossing = Uptrend might end warning Long = Orange Zone = Bars come from higher zones = Uptrend ended take care Long = Red Zone = Bars come from higher zones = Strong downtrend->close Long Short, Bare = Orange Zone = Bars come from higher zones = Downtrend starts Short, Bare = Orange Zone = Sideways ends in downtrend = Downtrend resumes Short = COG = First crossing = Downtrend might end warning Short = Green Zone = Bars come from lower zones = Downtrend ended take care Short = Blue Zone = Bars come from lower zones = Strong uptrend -> close short You can use script alerts in TradingView by clicking the clock in the sidebar, then ‘create alert’ or plus, as condition you choose ‘Tztrader’ in the dialog box, then the “Any alert() function call” option (the first item in the list). The script lets the valid alert trigger by TradingView after the bar is completed, this can differ from the flashed messages during its formation. When you create alerts in Tradingview, I advice to do that for each setup, then to make only the alert active which matches the current setup, pause the other ones. Suppressing false and annoying signals The script has two ways to suppress such signals, which have to do with the numbers in the alert feedback. The numbers left and right of the message with a colored background, depict the zones in which the previous (left) and current (right) bar move. 1 is the strong downtrend zone (red), 2 the moderate downtrend zone (orange), 3 the sideways zones (gray), 4 the COG (gray), 5 the moderate uptrend zone (green), 6 the strong uptrend zone (blue), 7 something went wrong with assigning a zone (black). In extensive testing the number 7 never occurs, because I catch that error in the code. The idea is that an alert is only triggered if the previous bar was in a different zone. When the bars are in the same zone, no alert is possible. This way all annoying signals are suppressed and long, short and bare get the appropriate alerts. The third number is a counter. It counts how often the COG is crossed without touching the outer curves. The counter will reset to zero when the upper or lower curve is touched. When the count is 1 you have zone situation 4 and appropriate alerts are flashed. When the count is 2 or higher, a sideways situation (3) is called and while the recrossings are going on, no alerts can be flashed. This suppresses false signals. The ATR zone and curves are brownish-gray where sideways happens(ed). When the channel is narrowed down to just the three curves, some false signals still might occur. Inputs “Setup”, default is long, drop down menu provides long, short and bare. “Target ATR”, default is 2, sets the amount of ATR for the target line. In 1 minute charts 4 seems an appropriate setting, you have to learn by experience which setting works. “show feedback …” default is on, This creates two feedback labels, a Setup feedback on top of the pane, which shows charted instrument, Setup type, Trend and timeframe of the chart. Background color of Trend feedback is green when it matches the setup, red when mismatches and gray when no match. The alert feedback at the bottom of the pane shows a number, a message and two numbers. The numbers will be explained in the chapter about false and annoying signals below. During formation of the bar, valid alerts are flashed with a blue background, otherwise the message ‘alerts for current bar suppressed’. Logical Stops The curves are the logical place to put stops, because, as these are averages of the high and low border of a Donchian channel, they signify the ‘natural’ current highest, lowest and main level in the lookback period that fit the monitored trend setup. A downtrend turns into an uptrend when a breakout of the upper curve occurs. If you are short, that is where you want to close position, so the logical place for the stoploss is the upper curve. Vice versa, when you are long, the logical stop is on the lower curve. The stops show up as green or gray dots on the curves, the green dots signify a nice entry level, the gray stops are there to suggest levels where unrealized profits might be secured, the maroon dots indicate that the trend mismatches the setup. COG versus other lines Any line used to identify a trend, be it some MA or some other line, is interpreted the same way: When the bars move above the line there is an uptrend and when below, a downtrend. COG is not different in that sense. If you put such a line in the same chart as TZtrader, you can see situations in which the other line shows uptrend or downtrend earlier than COG, also some other lines, e.g. Hull MA, are very good at showing tops and bottoms, while COG ignores these. On the other hand the other lines are usually a little nervous and let you shake out of position too soon. Just like the other lines, COG gives false signals when it is near horizontal. The advantage of the placement COG is the tolerance for pull backs. This way TZtrader keeps you longer in the trend. Such pull backs are often ‘flags’ which are interpreted in TA as confirming the trend. Tztrader aims to get you in position reasonably soon when a trend begins and out of position as soon as the trend turns against you. The placement of COG is done with a fundamentally different algorithm than other lines as it is not an average of prices, but the middle of two averages of borders of a Donchian channel. This gives the two zones between the curves the same quality as the two zones above and below the middle line of a standard Donchian Channel. A multi timeframe application. In this scenario you put a 5 minutes and 1 minute chart with Tztrader side by side. If the 5 minutes shows uptrend, set the 1 minute on long trading and open positions when the trend matches uptrend en close when it mismatches. Don’t open short positions. Once the 5 minute changes to downtrend, set Tztrader in the 1 minute to short trading and open positions when the trend matches downtrend and close when it mismatches. The idea is that in a long ‘context’, provided by the 5 minutes, the uptrends in the 1 minute will last longer and go further, vice versa for the short ‘context’. This way you do swing trading in the 5 minute in a smart way, maximizing profits. You can do this with any timeframe pairs with a proportion of around 5:1, 4:1, 6:1, like e.g. 60 minutes and 15 minutes or weeks and days (5 trading days in a week). Dear day-traders, may this tool be helpful and may your days be blessed. Take care
Pine Script® indicator
by eykpunter
Recession Warning Model [BackQuant]Recession Warning Model Overview The Recession Warning Model (RWM) is a Pine Script® indicator designed to estimate the probability of an economic recession by integrating multiple macroeconomic, market sentiment, and labor market indicators. It combines over a dozen data series into a transparent, adaptive, and actionable tool for traders, portfolio managers, and researchers. The model provides customizable complexity levels, display modes, and data processing options to accommodate various analytical requirements while ensuring robustness through dynamic weighting and regime-aware adjustments. Purpose The RWM fulfills the need for a concise yet comprehensive tool to monitor recession risk. Unlike approaches relying on a single metric, such as yield-curve inversion, or extensive economic reports, it consolidates multiple data sources into a single probability output. The model identifies active indicators, their confidence levels, and the current economic regime, enabling users to anticipate downturns and adjust strategies accordingly. Core Features - Indicator Families : Incorporates 13 indicators across five categories: Yield, Labor, Sentiment, Production, and Financial Stress. - Dynamic Weighting : Adjusts indicator weights based on recent predictive accuracy, constrained within user-defined boundaries. - Leading and Coincident Split : Separates early-warning (leading) and confirmatory (coincident) signals, with adjustable weighting (default 60/40 mix). - Economic Regime Sensitivity : Modulates output sensitivity based on market conditions (Expansion, Late-Cycle, Stress, Crisis), using a composite of VIX, yield-curve, financial conditions, and credit spreads. - Display Options : Supports four modes—Probability (0-100%), Binary (four risk bins), Lead/Coincident, and Ensemble (blended probability). - Confidence Intervals : Reflects model stability, widening during high volatility or conflicting signals. - Alerts : Configurable thresholds (Watch, Caution, Warning, Alert) with persistence filters to minimize false signals. - Data Export : Enables CSV output for probabilities, signals, and regimes, facilitating external analysis in Python or R. Model Complexity Levels Users can select from four tiers to balance simplicity and depth: 1. Essential : Focuses on three core indicators—yield-curve spread, jobless claims, and unemployment change—for minimalistic monitoring. 2. Standard : Expands to nine indicators, adding consumer confidence, PMI, VIX, S&P 500 trend, money supply vs. GDP, and the Sahm Rule. 3. Professional : Includes all 13 indicators, incorporating financial conditions, credit spreads, JOLTS vacancies, and wage growth. 4. Research : Unlocks all indicators plus experimental settings for advanced users. Key Indicators Below is a summary of the 13 indicators, their data sources, and economic significance: - Yield-Curve Spread : Difference between 10-year and 3-month Treasury yields. Negative spreads signal banking sector stress. - Jobless Claims : Four-week moving average of unemployment claims. Sustained increases indicate rising layoffs. - Unemployment Change : Three-month change in unemployment rate. Sharp rises often precede recessions. - Sahm Rule : Triggers when unemployment rises 0.5% above its 12-month low, a reliable recession indicator. - Consumer Confidence : University of Michigan survey. Declines reflect household pessimism, impacting spending. - PMI : Purchasing Managers’ Index. Values below 50 indicate manufacturing contraction. - VIX : CBOE Volatility Index. Elevated levels suggest market anticipation of economic distress. - S&P 500 Growth : Weekly moving average trend. Declines reduce wealth effects, curbing consumption. - M2 + GDP Trend : Monitors money supply and real GDP. Simultaneous declines signal credit contraction. - NFCI : Chicago Fed’s National Financial Conditions Index. Positive values indicate tighter conditions. - Credit Spreads : Proxy for corporate bond spreads using 10-year vs. 2-year Treasury yields. Widening spreads reflect stress. - JOLTS Vacancies : Job openings data. Significant drops precede hiring slowdowns. - Wage Growth : Year-over-year change in average hourly earnings. Late-cycle spikes often signal economic overheating. Data Processing - Rate of Change (ROC) : Optionally applied to capture momentum in data series (default: 21-bar period). - Z-Score Normalization : Standardizes indicators to a common scale (default: 252-bar lookback). - Smoothing : Applies a short moving average to final signals (default: 5-bar period) to reduce noise. - Binary Signals : Generated for each indicator (e.g., yield-curve inverted or PMI below 50) based on thresholds or Z-score deviations. Probability Calculation 1. Each indicator’s binary signal is weighted according to user settings or dynamic performance. 2. Weights are normalized to sum to 100% across active indicators. 3. Leading and coincident signals are aggregated separately (if split mode is enabled) and combined using the specified mix. 4. The probability is adjusted by a regime multiplier, amplifying risk during Stress or Crisis regimes. 5. Optional smoothing ensures stable outputs. Display and Visualization - Probability Mode : Plots a continuous 0-100% recession probability with color gradients and confidence bands. - Binary Mode : Categorizes risk into four levels (Minimal, Watch, Caution, Alert) for simplified dashboards. - Lead/Coincident Mode : Displays leading and coincident probabilities separately to track signal divergence. - Ensemble Mode : Averages traditional and split probabilities for a balanced view. - Regime Background : Color-coded overlays (green for Expansion, orange for Late-Cycle, amber for Stress, red for Crisis). - Analytics Table : Optional dashboard showing probability, confidence, regime, and top indicator statuses. Practical Applications - Asset Allocation : Adjust equity or bond exposures based on sustained probability increases. - Risk Management : Hedge portfolios with VIX futures or options during regime shifts to Stress or Crisis. - Sector Rotation : Shift toward defensive sectors when coincident signals rise above 50%. - Trading Filters : Disable short-term strategies during high-risk regimes. - Event Timing : Scale positions ahead of high-impact data releases when probability and VIX are elevated. Configuration Guidelines - Enable ROC and Z-score for consistent indicator comparison unless raw data is preferred. - Use dynamic weighting with at least one economic cycle of data for optimal performance. - Monitor stress composite scores above 80 alongside probabilities above 70 for critical risk signals. - Adjust adaptation speed (default: 0.1) to 0.2 during Crisis regimes for faster indicator prioritization. - Combine RWM with complementary tools (e.g., liquidity metrics) for intraday or short-term trading. Limitations - Macro indicators lag intraday market moves, making RWM better suited for strategic rather than tactical trading. - Historical data availability may constrain dynamic weighting on shorter timeframes. - Model accuracy depends on the quality and timeliness of economic data feeds. Final Note The Recession Warning Model provides a disciplined framework for monitoring economic downturn risks. By integrating diverse indicators with transparent weighting and regime-aware adjustments, it empowers users to make informed decisions in portfolio management, risk hedging, or macroeconomic research. Regular review of model outputs alongside market-specific tools ensures its effective application across varying market conditions.
Pine Script® indicator
by BackQuant
1
Time-Price Velocity [QuantAlgo]🟢 Overview The Time-Price Velocity indicator uses advanced velocity-based analysis to measure the rate of price change normalized against typical market movement, creating a dynamic momentum oscillator that identifies market acceleration patterns and momentum shifts. Unlike traditional momentum indicators that focus solely on price change magnitude, this indicator incorporates time-weighted displacement calculations and ATR normalization to create a sophisticated velocity measurement system that adapts to varying market volatility conditions. This indicator displays a velocity signal line that oscillates around zero, with positive values indicating upward price velocity and negative values indicating downward price velocity. The signal incorporates acceleration background columns and statistical normalization to help traders identify momentum shifts and potential reversal or continuation opportunities across different timeframes and asset classes. 🟢 How It Works The indicator's key insight lies in its time-price velocity calculation system, where velocity is measured using the fundamental physics formula: velocity = priceChange / timeWeight The system normalizes this raw velocity against typical price movement using Average True Range (ATR) to create market-adjusted readings: normalizedVelocity = typicalMove > 0 ? velocity / typicalMove : 0 where "typicalMove = ta.atr(lookback)" provides the baseline for normal price movement over the specified lookback period. The Time-Price Velocity indicator calculation combines multiple sophisticated components. First, it calculates acceleration as the change in velocity over time: acceleration = normalizedVelocity - normalizedVelocity Then, the signal generation applies EMA smoothing to reduce noise while preserving responsiveness: signal = ta.ema(normalizedVelocity, smooth) This creates a velocity-based momentum indicator that combines price displacement analysis with statistical normalization, providing traders with both directional signals and acceleration insights for enhanced market timing. 🟢 How to Use 1. Signal Interpretation and Threshold Zones Positive Values (Above Zero): Time-price velocity indicating bullish momentum with upward price displacement relative to normalized baseline Negative Values (Below Zero): Time-price velocity indicating bearish momentum with downward price displacement relative to normalized baseline Zero Line Crosses: Velocity transitions between bullish and bearish regimes, indicating potential trend changes or momentum shifts Upper Threshold Zone: Area above positive threshold (default 1.0) indicating strong bullish velocity and potential reversal point Lower Threshold Zone: Area below negative threshold (default -1.0) indicating strong bearish velocity and potential reversal point 2. Acceleration Analysis and Visual Features Acceleration Columns: Background histogram showing velocity acceleration (the rate of change of velocity), with green columns indicating accelerating velocity and red columns indicating decelerating velocity. The interpretation depends on trend context: red columns in downtrends indicate strengthening bearish momentum, while red columns in uptrends indicate weakening bullish momentum Acceleration Column Height: The height of each column represents the magnitude of acceleration, with taller columns indicating stronger acceleration or deceleration forces Bar Coloring: Optional price bar coloring matches velocity direction for immediate visual trend confirmation Info Table: Real-time display of current velocity and acceleration values with trend arrows and change indicators 3. Additional Features: Confirmed vs Live Data: Toggle between confirmed (closed) bar analysis for stable signals or current bar inclusion for real-time updates Multi-timeframe Adaptability: Velocity normalization ensures consistent readings across different chart timeframes and asset volatilities Alert System: Built-in alerts for threshold crossovers and direction changes 🟢 Examples with Preconfigured Settings Default : Balanced configuration suitable for most timeframes and general trading applications, providing optimal balance between sensitivity and noise filtering for medium-term analysis. Scalping : High sensitivity setup with shorter lookback period and reduced smoothing for ultra-short-term trades on 1-15 minute charts, optimized for capturing rapid momentum shifts and frequent trading opportunities. Swing Trading : Extended lookback period with enhanced smoothing and higher threshold for multi-day positions, designed to filter market noise while capturing significant momentum moves on 1-4 hour and daily timeframes.
Pine Script® indicator
by QuantAlgo
Simple Trend Indicator (Heikin-Ashi) | Lyro RSSimple Trend Indicator (Heikin-Ashi) A momentum oscillator using Heikin-Ashi smoothed data to filter trend direction with zero-line crosses. This indicator calculates the normalized deviation of Heikin-Ashi OHLC values from their Simple Moving Average (SMA), then averages these deviations into a single oscillator. It simplifies trend detection by: Reducing noise via Heikin-Ashi smoothing. Highlighting momentum shifts through a zero-line cross system (bullish/bearish). Providing clear visual signals with color-coded plots and directional dots. Originality: Unlike standard momentum oscillators, this tool uniquely combines: Heikin-Ashi normalization for cleaner trend analysis. Multi-component averaging (high, open, low, close) to balance sensitivity. Minimalist design for clutter-free charting. How It Works: Data Input: Fetches Heikin-Ashi OHLC values using request.security(). Momentum Calculation: For each Heikin-Ashi component: Computes % deviation from its SMA: (value − SMA(value, length)) / SMA(value, length) * 100. Oscillator: Averages deviations of all four components into one line (sum). Signals: Bullish: Oscillator > 0 (green). Bearish: Oscillator < 0 (red). Cross Confirmation: Dots (⦿) mark zero-line crosses. Usage: Trend Following: Enter long/short on sustained oscillator breaks above/below zero. Reversal Watch: Zero-line crosses may hint at weakening momentum. Filter: Combine with volume or support/resistance levels. ⚠️Disclaimer: This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Pine Script® indicator
by LyroRS
Lorentzian Key Support and Resistance Level Detector [mishy]🧮 Lorentzian Key S/R Levels Detector Advanced Support & Resistance Detection Using Mathematical Clustering The Problem Traditional S/R indicators fail because they're either subjective (manual lines), rigid (fixed pivots), or break when price spikes occur. Most importantly, they don't tell you where prices actually spend time, just where they touched briefly. The Solution: Lorentzian Distance Clustering This indicator introduces a novel approach by using Lorentzian distance instead of traditional Euclidean distance for clustering. This is groundbreaking for financial data analysis. Data Points Clustering: 🔬 Why Euclidean Distance Fails in Trading Traditional K-means uses Euclidean distance: • Formula: distance = (price_A - price_B)² • Problem: Squaring amplifies differences exponentially • Real impact: One 5% price spike has 25x more influence than a 1% move • Result: Clusters get pulled toward outliers, missing real support/resistance zones Example scenario: Prices: ← flash spike Euclidean: Centroid gets dragged toward 150 Actual S/R zone: Around 100 (where prices actually trade) ⚡ Lorentzian Distance: The Game Changer Our approach uses Lorentzian distance: • Formula: distance = log(1 + (price_difference)² / σ²) • Breakthrough: Logarithmic compression keeps outliers in check • Real impact: Large moves still matter, but don't dominate • Result: Clusters focus on where prices actually spend time Same example with Lorentzian: Prices: ← flash spike Lorentzian: Centroid stays near 100 (real trading zone) Outlier (150): Acknowledged but not dominant 🧠 Adaptive Intelligence The σ parameter isn't fixed,it's calculated from market disturbance/entropy: • High volatility: σ increases, making algorithm more tolerant of large moves • Low volatility: σ decreases, making algorithm more sensitive to small changes • Self-calibrating: Adapts to any instrument or market condition automatically Why this matters: Traditional methods treat a 2% move the same whether it's in a calm or volatile market. Lorentzian adapts the sensitivity based on current market behavior. 🎯 Automatic K-Selection (Elbow Method) Instead of guessing how many S/R levels to draw, the indicator: • Tests 2-6 clusters and calculates WCSS (tightness measure) • Finds the "elbow" - where adding more clusters stops helping much • Uses sharpness calculation to pick the optimal number automatically Result: Perfect balance between detail and clarity. How It Works 1. Collect recent closing prices 2. Calculate entropy to adapt to current market volatility 3. Cluster prices using Lorentzian K-means algorithm 4. Auto-select optimal cluster count via statistical analysis 5. Draw levels at cluster centers with deviation bands 📊 Manual K-Selection Guide (Using WCSS & Sharpness Analysis) When you disable auto-selection, use both WCSS and Sharpness metrics from the analysis table to choose manually: What WCSS tells you: • Lower WCSS = tighter clusters = better S/R levels • Higher WCSS = scattered clusters = weaker levels What Sharpness tells you: • Higher positive values = optimal elbow point = best K choice • Lower/negative values = poor elbow definition = avoid this K • Measures the "sharpness" of the WCSS curve drop-off Decision strategy using both metrics: K=2: WCSS = 150.42 | Sharpness = - | Selected = K=3: WCSS = 89.15 | Sharpness = 22.04 | Selected = ✓ ← Best choice K=4: WCSS = 76.23 | Sharpness = 1.89 | Selected = K=5: WCSS = 73.91 | Sharpness = 1.43 | Selected = Quick decision rules: • Pick K with highest positive Sharpness (indicates optimal elbow) • Confirm with significant WCSS drop (30%+ reduction is good) • Avoid K values with negative or very low Sharpness (<1.0) • K=3 above shows: Big WCSS drop (41%) + High Sharpness (22.04) = Perfect choice Why this works: The algorithm finds the "elbow" where adding more clusters stops being useful. High Sharpness pinpoints this elbow mathematically, while WCSS confirms the clustering quality. Elbow Method Visualization: Traditional clustering problems: ❌ Price spikes distort results ❌ Fixed parameters don't adapt ❌ Manual tuning is subjective ❌ No way to validate choices Lorentzian solution: ☑️ Outlier-resistant distance metric ☑️ Entropy-based adaptation to volatility ☑️ Automatic optimal K selection ☑️ Statistical validation via WCSS & Sharpness Features Visual: • Color-coded levels (red=highest resistance, green=lowest support) • Optional deviation bands showing cluster spread • Strength scores on labels: Each cluster shows a reliability score. • Higher scores (0.8+) = very strong S/R levels with tight price clustering • Lower scores (0.6-0.7) = weaker levels, use with caution • Based on cluster tightness and data point density • Clean line extensions and labels Analytics: • WCSS analysis table showing why K was chosen • Cluster metrics and statistics • Real-time entropy monitoring Control: • Auto/manual K selection toggle • Customizable sample size (20-500 bars) • Show/hide bands and metrics tables The Result You get mathematically validated S/R levels that focus on where prices actually cluster, not where they randomly spiked. The algorithm adapts to market conditions and removes guesswork from level selection. Best for: Traders who want objective, data-driven S/R levels without manual chart analysis. Credits: This script is for educational purposes and is inspired by the work of @ThinkLogicAI and an amazing mentor @DskyzInvestments . It demonstrates how Lorentzian geometrical concepts can be applied not only in ML classification but also quite elegantly in clustering.
Pine Script® indicator
by mishy_Champ
Golden Launch Pad🔰 Golden Launch Pad This indicator identifies high-probability bullish setups by analyzing the relationship between multiple moving averages (MAs). A “Golden Launch Pad” is formed when the following five conditions are met simultaneously: 📌 Launch Pad Criteria (all must be true): MAs Are Tightly Grouped The selected MAs must be close together, measured using the Z-score spread — the difference between the highest and lowest Z-scores of the MAs. Z-scores are calculated relative to the average and standard deviation of price over a user-defined window. This normalizes MA distance based on volatility, making the signal adaptive across different assets. MAs Are Bullishly Stacked The MAs must be in strict ascending order: MA1 > MA2 > MA3 > ... > MA(n). This ensures the short-term trend leads the longer-term trend — a classic sign of bullish structure. All MAs Have Positive Slope Each MA must be rising, based on a lookback period that is a percentage of its length (e.g. 30% of the MA’s bars). This confirms momentum and avoids signals during sideways or weakening trends. Price Is Above the Fastest MA The current close must be higher than the first (fastest) moving average. This adds a momentum filter and reduces false positives. Price Is Near the MA Cluster The current price must be close to the average of all selected MAs. Proximity is measured in standard deviations (e.g. within 1.0), ensuring the price hasn't already made a large move away from the setup zone. ⚙️ Customization Options: Use 2 to 6 MAs for the stack Choose from SMA, EMA, WMA, VWMA for each MA Adjustable Z-score window and spread threshold Dynamic slope lookback based on MA length Volatility-adjusted price proximity filter 🧠 Use Case: This indicator helps traders visually and systematically detect strong continuation setups — often appearing before breakouts or sustained uptrends. It works well on intraday, swing, and positional timeframes across all asset classes. For best results, combine with volume, breakout structure, or multi-timeframe confirmation.
Pine Script® indicator
by QuesoHouseKey
Auto-Pivot Levels with Alerts and 4 methods [ChartWhizzperer]🚀 Auto-Pivot Levels – Dynamic Edition Now with Live Mode, 4 Pivot Methods PineConnector-Ready Alerts! Free, Open Source, Pine Script v6-compliant. 🟢 NEW: Live Mode (Ultra-Dynamic, Repainting) – Switchable in UI! Instantly switch between Classic (session-based, repaint-free) and Live (rolling window, real-time, repainting) using the simple checkbox in the settings! Live Mode recalculates all pivots on every tick/bar, using the current high/low/close for the chosen session (daily, weekly, monthly). Perfect for: Scalping and high-frequency trading Real-time bot/automation setups (PineConnector-ready) Fast-moving or breakout markets Classic Mode: For traditional, stable levels based on confirmed session data – ideal for backtesting and trading history. 📊 Four Calculation Methods (Choose What Fits YOU): 1️⃣ Classic Standard pivot calculation. Based on previous session’s High, Low, Close. Simple, proven, and suitable for any asset. 2️⃣ Fibonacci Projects levels using Fibonacci ratios of the prior session’s range. Great for traders who want to align pivots with fib retracements and extensions. 3️⃣ Camarilla Uses unique multipliers for support/resistance, focusing on mean reversion and volatility. Popular among futures and forex day traders. 4️⃣ Woodie Puts extra weight on previous Close for more responsive pivots. Often used in trending or choppy conditions. Switch methods anytime in the UI – the script recalculates instantly and keeps your chart clean! 🔔 Level-Specific Alerts – PineConnector Ready! Dedicated alert for EVERY level and direction (Up/Down): Pivot (P), R1, R2, R3, S1, S2, S3 No configuration hassle: All alerts are pre-defined in the TradingView Alert Panel. Machine-readable message format: PIVOT=R1 DIR=UP SYMBOL={{ticker}} PRICE={{close}} Direct plug-and-play with PineConnector, webhooks, Discord, Telegram, bots, and other automation tools. Never miss a breakout, reversal, or key support/resistance touch. 🛠 Powerful Customization & Performance Session selection: Daily, Weekly, Monthly (choose what suits your trading style). Show/hide any level (Pivot, R1–R3, S1–S3) for minimal chart clutter. Color selection for each level to match your theme or highlight key pivots. Auto-cleanup: Old lines and labels are cleared on every recalculation or session change for maximum performance and visual clarity. Zero runtime errors: Strict Pine Script v6 practices for stability. 💡 How To Use – Quick Start Add the indicator to your TradingView chart. Pick your calculation method (Classic, Fibonacci, Camarilla, Woodie). Set session type (Daily, Weekly, Monthly). Switch between Classic and Live Mode with a single click in settings. Customize your levels (on/off, colors). Open the Alert Panel, select any pre-configured alert (e.g. "R2 Cross Down"), and go live! Connect with PineConnector or any webhook system instantly using the pre-formatted alert messages. 🤖 Who Is It For? Active scalpers & bot traders: Live Mode + PineConnector-ready alerts = instant, automated reactions. Swing and position traders: Use Classic Mode for stable, repaint-free levels. Strategy developers: Seamless integration into automated and manual trading workflows. 🏷 License & Community Open Source, Non-Commercial: Free for personal & educational use under CC BY-NC-SA 4.0. Feedback, bug reports & ideas: Drop a comment, or contact me for feature requests. Trade smart. Trade dynamic. Unlock the true power of pivots – with ChartWhizzperer !
Pine Script® indicator
by ChartWhizzperer
BERLIN-MAX 1V.5BERLIN-MAX 1V.5 is a comprehensive trading indicator designed for TradingView that combines multiple advanced strategies and tools. It integrates EMA crossover signals, UT Bot logic with ATR-based trailing stops, customizable stop-loss and target multipliers per timeframe, Hull Moving Averages with color-coded trends, linear regression channels for support and resistance, and a multi-timeframe RSI and volume signal table. This script aims to provide clear entry and exit signals for scalping and swing trading, enhancing decision-making across different market conditions.
Pine Script® indicator
by alnaimi515
XRP Scalping with EMA Crossover Anticipation This script is designed to detect scalping opportunities on XRP by anticipating EMA crossovers, reinforced with technical confirmation filters. Methodology - The core signal is based on the crossover between a fast EMA (9) and a slow EMA (21). - RSI (14) conditions are applied to avoid weak setups: RSI must be above 40 for buy signals and below 70 for sell signals. - Before any crossover is validated, the script requires at least two consecutive “pre-crossover” signals. These indicate favorable momentum and convergence conditions before the crossover occurs. - Final signals are only displayed if this minimum number of preconditions is met. Application This system is optimized for scalping on the 1-minute to 5-minute timeframes but can be adapted for longer-term setups by adjusting parameters. The anticipation logic helps reduce lagging entries and improves signal selectivity during volatile conditions. Both pre-crossover and confirmed crossover conditions include alert options. The code is fully editable and customizable.
Pine Script® indicator
by gnatius1975