Get started

Forecasting

Historical Annual Avg Growth Lines + 1-Year ProjectionThis script creates an overlay indicator on your TradingView chart that visualizes the historical average annual growth rate of the selected instrument (e.g., TSLA) in a specific way. Here's a step-by-step summary of what it represents and how it works: Overall Purpose It calculates the average annual percentage gain (arithmetic mean) across the instrument's entire trading history, using non-overlapping periods of 252 trading days each (approximating one year, excluding weekends/holidays). It then draws horizontal green lines on the chart for each complete "year" segment, showing a projected "fair value" price level for that year based on the overall average growth rate. This helps you compare actual historical price action against what the price "would have been" if it had grown steadily at the stock's long-term average annual rate. Lines above actual prices suggest periods where growth exceeded the average (potentially overvalued in hindsight), while lines below suggest underperformance (potentially undervalued). The calculation excludes the most recent incomplete year (any bars beyond the last full 252-day segment), ensuring only fully realized historical periods are used. Key Calculations Identifying Complete Years: It divides the chart's data from the first trading day (bar_index 0) into segments of exactly 252 bars each. For example: Year 1: Bars 0 to 251 Year 2: Bars 252 to 503 And so on, up to the last full segment before the current bar. If the total bars aren't a perfect multiple of 252, the partial current year is ignored. Average Annual % Gain: For each complete year segment: It computes the % gain as (end_price - start_price) / start_price. Sums these % gains across all years and divides by the number of years to get the overall average (e.g., if TSLA averaged 42% per year historically, that's the value used). Projected Price Lines: For each year segment: Takes the starting price of that year. Applies the overall average % gain to project a "target" end-of-year price: start_price * (1 + average_annual_gain). Draws a horizontal line at that projected price level, spanning only the bars of that specific year (e.g., a flat green line covering 252 bars, positioned above or below the actual price action for visual comparison). Visual Representation Horizontal Lines: Each green line is flat and covers one historical year block on the chart. Earlier years (left side) will have lower projected prices (reflecting lower starting prices), while later years (right side) will have higher ones as the base price compounds over time—but each is independent and based on that year's start. No Smoothing or Rolling: Unlike a moving average, these are static historical segments (non-overlapping), recalculated only on the last bar for efficiency. Example on TSLA: Assuming TSLA's long-term average annual gain is ~42% (based on its history since 2010 IPO), the line for Year 1 would be at * 1.42, spanning the first 252 bars. Year 2 would start from the actual price at bar 252 and project * 1.42, and so on. If lines are consistently above actual prices in recent years, it might indicate recent growth slowing relative to historical averages. Forward Projection (1 Year Out) The script also extends a dashed orange horizontal line to the right of the current bar, projecting the price one year into the future based on the same historical average annual growth rate. It starts from the end price of the last complete historical year as the base. Applies the average % gain once more to estimate the "target" price after another 252 trading days (e.g., base_price * (1 + average_annual_gain)). The line is dashed and orange for distinction, extending approximately 252 bars to the right (scroll or zoom right to view the full projection). This provides a visual guide for where the price "might" trend if growth continues at the historical average, helping with long-term investment planning like setting targets or assessing potential upside.
Pine Script® indicator
by toppermost
1
Money Management Trade Data BoxTrade Data Box - Money Management Indicator Overview This indicator provides real-time position sizing and risk management calculations directly on your chart. It displays a clean data box that helps traders maintain disciplined risk management by automatically calculating the optimal number of contracts to trade based on ATR (Average True Range) volatility measurements. What It Does The indicator solves a critical problem that many traders face: determining the correct position size before entering a trade. Instead of manually calculating how many contracts to trade based on your risk tolerance and stop loss distance, this tool does all the math for you in real-time. Key Features ATR-Based Stop Loss & Target Calculation Uses the Average True Range to set dynamic stop losses and profit targets that adapt to current market volatility ATR multipliers allow you to customize how conservative or aggressive your stops and targets are (reasonable reward-to-risk ratio). Automatic Position Sizing Calculates exactly how many contracts you should trade to risk a specific dollar amount Takes into account your defined risk per trade, the instrument's tick value, and the calculated stop loss distance Updates continuously as market conditions change Visual Data Box Displays four critical pieces of information: Target (ticks): How far your profit target is from entry Stop (ticks): How far your stop loss should be placed Risk Amount: Your fixed dollar risk per trade Contracts: The calculated number of contracts to trade Customization Options Adjustable table size for different screen sizes Six position options to place the box wherever you prefer on your chart Optional "real close" dots to verify you're seeing actual closing prices if you are using Heiken Ashi Candles. How Traders Use This Set Your Risk Parameters: Input your maximum dollar risk per trade (e.g., $200) and the tick value for your instrument (e.g., $0.50 for Micro NQ (MNQ) futures)... verify your tick value before trading to ensure your risk management is correct. Adjust ATR Settings: Customize the ATR length and multipliers based on your trading style and the instrument's characteristics. Read the Box Before Trading: Before entering any trade, check the data box to know: Where to place your stop loss Where to set your profit target How many contracts to trade to maintain consistent risk Execute with Confidence: Enter your trade knowing you're risking exactly the amount you're comfortable with, regardless of how volatile the market is Why This Matters Professional traders know that position sizing is more important than entry timing. This indicator ensures you're never over-leveraged during volatile periods or under-leveraged during quiet markets. By basing calculations on ATR, your stops and targets automatically adjust to current market conditions, helping you maintain consistent risk across all trades.
Pine Script® indicator
by OptionSPY
Forecast Trend Filter ~ CharonQuantThe Forecast Trend Filter (FTF) is a trend and momentum confirmation indicator built on the original Forecast Oscillator concept developed by Tushar Chande. The original Forecast Oscillator measures how far price deviates from a linear regression forecast to highlight momentum shifts. This version extends that foundation and restructures it into a practical, signal-quality focused trend filter designed for real trading conditions. What’s different in this implementation: • Forecast Oscillator combined with slope confirmation to ensure momentum is accelerating, not stalling • Trend alignment filter using a user-selectable moving average (SMA, EMA, WMA, HMA, ALMA, VWMA) • Minimum deviation threshold to filter out weak or noisy signals • Directional state logic that clearly defines bullish, bearish, or neutral conditions • Visual trend context using adaptive colors, background bias, and overlay plots Signals are only generated when all conditions align: • Price deviates meaningfully from its linear regression forecast • Oscillator slope confirms momentum continuation • Deviation exceeds the minimum quality threshold • Price is aligned with the higher-level trend filter If one condition fails, the signal is ignored. This design prioritizes signal quality over signal frequency. Development and usage notes: This indicator was developed and calibrated on the 1D INDEX:ETHUSD chart. You must tweak the parameters to fit your market, timeframe, and trading style. If you do not read this description or do not understand what the indicator is designed to do, do not use it. Indicators amplify both discipline and mistakes. Important reminder: No single indicator is sufficient on its own.
Pine Script® indicator
by CharonQuant
4
EMA Crossover Buy/Sell Signals//@version=5 indicator("EMA Crossover Buy/Sell Signals", overlay=true) // ─── Inputs ─────────────────────────────────────────────── emaFastLength = input.int(5, "Fast EMA Length", minval=1) emaSlowLength = input.int(20, "Slow EMA Length", minval=1) // ─── EMA Calculations ───────────────────────────────────── emaFast = ta.ema(close, emaFastLength) emaSlow = ta.ema(close, emaSlowLength) // ─── Entry & Exit Conditions ────────────────────────────── buySignal = ta.crossover(emaFast, emaSlow) // Fast EMA crosses above Slow EMA sellSignal = ta.crossunder(emaFast, emaSlow) // Fast EMA crosses below Slow EMA // ─── Alerts ─────────────────────────────────────────────── alertcondition(buySignal, title="Buy Signal", message="Buy Signal") alertcondition(sellSignal, title="Sell Signal", message="Sell Signal") // ─── Display EMA Lines ──────────────────────────────────── plot(emaFast, color=color.green, title="Fast EMA") plot(emaSlow, color=color.red, title="Slow EMA") // ─── Signal Arrows ──────────────────────────────────────── plotshape(buySignal, title="Buy Arrow", style=shape.labelup, color=color.green, text="Buy", location=location.belowbar, size=size.tiny) plotshape(sellSignal, title="Sell Arrow", style=shape.labeldown, color=color.red, text="Sell", location=location.abovebar, size=size.tiny) // ─── Highlight Active Signals ───────────────────────────── bgcolor(buySignal ? color.new(color.green, 85) : sellSignal ? color.new(color.red, 85) : na)
Pine Script® indicator
by sharmapr1985
Current & Previous Candle H/LA visual tool that shows you the High and Low prices of: The CURRENT candle (bar) being formed. The PREVIOUS candle (the one that just closed). 1. Quick Price Reference Instantly see exact High/Low levels without hovering over candles Useful when placing orders near these levels 2. Support/Resistance Visualization Previous High/Low often acts as resistance/support Current High/Low shows where price is pushing 3. Breakout Trading Helps identify when price breaks above previous High (bullish breakout) Or below previous Low (bearish breakout) 4. Risk Management Set stop-losses below previous Low or above previous High Place take-profits near current High/Low extensions
Pine Script® indicator
by mmrabea
Multi-Metric Valuation IndicatorMulti-Metric Valuation Indicator - Accumulation/Distribution Signal This indicator combines six proven technical metrics into a single composite valuation score to help identify optimal accumulation and distribution zones for any asset. Built with the Mayer Multiple as its foundation, it provides a comprehensive view of whether an asset is overvalued or undervalued. Core Components: Mayer Multiple - Compares current price to 200-day moving average (traditional Bitcoin valuation metric) RSI (Relative Strength Index) - Identifies overbought/oversold momentum conditions Bollinger Band Position - Measures price location within volatility bands 50-Day MA Deviation - Tracks short-term trend strength Rate of Change (ROC) - Captures momentum shifts Volume Analysis - Confirms price moves with relative volume strength How It Works: Each metric is scored from -1 (extremely undervalued) to +1 (extremely overvalued) using granular thresholds. These scores are averaged into a composite valuation score that oscillates around zero: < -0.4: Strong Accumulation Zone (dark green background) -0.4 to -0.2: Accumulation Zone (light green background) -0.2 to +0.2: Neutral Zone (gray background) +0.2 to +0.4: Distribution Zone (light red background) > +0.4: Strong Distribution Zone (dark red background) Key Features: Real-time scoring table displays all component values and their individual scores Color-coded composite line (green = undervalued, red = overvalued) Background shading for instant visual signal recognition Built-in alerts for strong accumulation/distribution crossovers Fully customizable inputs for all parameters Clean, efficient code using ternary operators and one-line declarations Best Use Cases: Long-term position accumulation strategies Identifying macro market tops and bottoms Dollar-cost averaging entry/exit planning Multi-timeframe confirmation (works on daily, weekly, monthly charts) Risk management and position sizing decisions Interpretation: When the composite score drops below -0.4, multiple metrics simultaneously indicate undervaluation - a historically favorable accumulation opportunity. Conversely, scores above +0.4 suggest distribution may be prudent as multiple indicators flash overbought signals. The indicator is most powerful when combined with fundamental analysis and proper risk management. It's designed to keep emotions in check during extreme market conditions.
Pine Script® indicator
by MonkeyPhone
1
Ayan EMAV HunterThe script involves 2 zones. The Blue Zone is the Hunting Zone and the Red Zone helps to decide the which side to trade. If the Blue Zone is above the Red Zone, we search for UpTrend Trades of 1:2 and we need to observe the candles with the Yellow Arrow which indicates Smart Money entering Similarly, If the Blue Zone is below the Red Zone, we search for Bearish Trades with 1:2 Risk/Reward and we need to observe the candles with the Yellow Arrow which indicates Smart Money entering If the Blue Zone lies within the Red Zone, then NO Trade, Just Observe Please share your feedback if it can be refined
Pine Script® indicator
by pcmbppt
Trading Command Center# Trading Command Center (TCC) ## 📊 All-In-One Confluence Trading System **Stop guessing. Start confirming.** The Trading Command Center combines the most essential technical analysis tools into a single, unified indicator with a real-time **Confluence Dashboard** that tells you when multiple signals align—giving you higher-probability trade setups. --- ## 🎯 What Is Confluence Trading? Professional traders don't rely on a single indicator. Studies show that **85% of professional traders use 2+ indicators** to confirm entries. Confluence trading means waiting for multiple independent signals to agree before taking action. **One signal = noise. Multiple signals = conviction.** This indicator does the heavy lifting by: - Displaying all key technical levels on your chart - Automatically scoring bullish vs bearish signals - Alerting you when high-confluence setups appear --- ## 📦 What's Included ### On-Chart Overlays | Component | What It Shows | |-----------|---------------| | **EMAs (9, 21, 50, 200)** | Trend direction at multiple timeframes | | **VWAP + Bands** | Institutional fair value & standard deviation levels | | **Dynamic S/R Zones** | Auto-detected support/resistance with touch counts | | **Auto Trendlines** | Connecting recent pivot highs and lows | | **Volume Highlights** | Background shading when volume exceeds 1.5x average | ### Dashboard Analysis (Top Right Panel) | Indicator | Dashboard Shows | |-----------|-----------------| | **EMA Stack** | Perfect/partial bullish or bearish alignment | | **Price vs EMA 200** | Above/below with % distance | | **Price vs VWAP** | Intraday institutional bias | | **RSI (14)** | Value + overbought/oversold status | | **MACD** | Bullish/bearish + momentum direction + crosses | | **Volume** | Ratio vs 20-period average | | **ATR** | Current volatility level | | **Confluence Score** | Net score from -10 to +10 | --- ## 🚦 How The Confluence Score Works The system awards points for bullish and bearish conditions: ### Bullish Points - Perfect EMA stack (9 > 21 > 50 > 200): **+2** - Partial EMA alignment: **+1** - Price above VWAP: **+1** - RSI bullish (50-70): **+1** - RSI oversold (<30): **+2** *(potential reversal)* - MACD above signal: **+1** - MACD rising momentum: **+1** - MACD bullish cross: **+2** - Above 200 EMA: **+1** - High volume + green candle: **+1** ### Bearish Points *(Mirror of above for bearish conditions)* ### Signal Interpretation | Score | Meaning | |-------|---------| | **+5 to +10** | 🟢 STRONG BUY - Multiple confirmations aligned | | **+2 to +4** | Bullish bias | | **-1 to +1** | Neutral / Mixed signals | | **-2 to -4** | Bearish bias | | **-5 to -10** | 🔴 STRONG SELL - Multiple confirmations aligned | --- ## 📈 How To Use This Indicator ### For Trend Following 1. Check the **EMA Stack** status in the dashboard 2. Confirm price is on the correct side of **VWAP** 3. Wait for **confluence score ≥ +3** (longs) or **≤ -3** (shorts) 4. Use S/R zones for entry/exit targets ### For Reversal Trading 1. Look for **RSI overbought/oversold** conditions 2. Watch for price at a **Dynamic S/R Zone** 3. Wait for **MACD cross** confirmation 4. Enter when confluence supports the reversal ### For Day Trading 1. Use **VWAP** as your primary bias (above = long bias, below = short bias) 2. Trade pullbacks to **EMA 9/21** in the direction of VWAP 3. Avoid entries when **ATR** shows "HIGH VOL" (choppy conditions) 4. Target the opposite **VWAP band** or nearest S/R zone --- ## ⚙️ Recommended Settings ### Default (Works for most markets) All settings are optimized out of the box for stocks, crypto, and forex on 5min-Daily charts. ### Scalping (1-5 min charts) - Reduce Pivot Lookback to 5-7 - Reduce Zone Width to 0.3% ### Swing Trading (4H-Daily) - Increase Pivot Lookback to 15-20 - Increase Zone Width to 0.8-1.0% --- ## 🔔 Alerts Included - **Strong Bullish Confluence** - Multiple indicators aligned bullish - **Strong Bearish Confluence** - Multiple indicators aligned bearish - **MACD Bullish/Bearish Cross** - Momentum shift - **RSI Overbought/Oversold** - Extreme readings - **Volume Spike** - Volume exceeds 2.5x average --- ## 💡 Pro Tips 1. **Don't chase low-confluence setups** - Wait for score ≥ +3 or ≤ -3 2. **Respect the 200 EMA** - It defines the macro trend 3. **Volume confirms moves** - High volume signals are more reliable 4. **S/R zones with more touches are stronger** - Look for + touch counts 5. **MACD crosses near zero line are strongest** - Avoid extended readings --- ## ⚠️ Important Notes - **RSI, MACD, and ATR values are shown in the dashboard only** (not plotted separately). If you want the actual plots, add TradingView's built-in indicators alongside this one. - **This is a tool, not a trading system** - Always use proper risk management - **Past performance ≠ future results** - Confluence improves probability, not certainty --- ## 🔧 Customization All components can be toggled on/off: - Show/hide EMAs, VWAP, S/R Zones, Trendlines - Adjust all lengths and multipliers - Change colors to match your chart theme - Move dashboard position (all 4 corners) --- **Questions or suggestions?** Drop a comment below! *If this indicator helps your trading, please leave a like/follow—it helps others find it too.* --- **Tags:** confluence, ema, vwap, rsi, macd, support resistance, trendlines, volume, atr, dashboard, all-in-one, trading system, beginner friendly
Pine Script® indicator
by DayTradingMD1992
Long-Term Investment Manager [Manual]Long-Term Investment Manager (Manual) is a portfolio decision support indicator designed for investors managing long-horizon equity or crypto positions with a rules-based, evidence-informed framework. This script is not a trading signal generator and does not place orders. Instead, it functions as a structured portfolio advisor that contextualizes price action relative to trend, volatility, momentum, and your own cost basis, then translates that context into clear, interpretable guidance. Core Philosophy The indicator formalizes how disciplined long-term investors typically think: Stay invested in primary uptrends Protect capital when trends break Trim into strength, not fear Accumulate selectively during healthy pullbacks Anchor decisions to entry price and position size, not emotions What You Configure (Manual by Design) Average Buy Price – your actual cost basis Position Size – used for unrealized PnL calculation Profit Trim Targets – two customizable percentage levels Volatility Stop Multiplier – controls long-term trailing risk This ensures the indicator adapts to your portfolio, not a hypothetical backtest. Evidence-Based Components 200-period Simple Moving Average Defines the long-term trend using a widely accepted institutional standard. ATR-based Volatility Stop (Chandelier-style) Adjusts dynamically to market noise and provides an objective exit when the trend fails. Relative Strength Index (RSI) + Bollinger Bands Identifies extension and overheating for profit trimming, and controlled pullbacks for accumulation. Decision Hierarchy (Capital First) The logic prioritizes decisions in a strict order: Exit / Capital Protection Triggered when price breaks the volatility stop or falls below the long-term trend. Profit Management Graduated trimming based on extension and predefined return thresholds. Accumulation or Hold Differentiates between healthy pullbacks in an uptrend versus conditions that warrant patience. Visual & Dashboard Outputs Entry price and profit targets plotted directly on the chart Long-term trend and trailing stop visualized clearly A compact dashboard displaying: Return on investment percentage Unrealized profit or loss in currency terms Current recommended action Explicit reasoning behind that action Distance to stop as a quantified risk metric Intended Use This tool is best suited for: Long-term investors managing core positions Swing-to-position traders seeking structure and discipline Portfolio managers who prefer rules over reactions It is intentionally manual, transparent, and conservative—designed to support judgment, not replace it. Disclaimer: This indicator is for educational and informational purposes only and does not constitute financial advice. Always integrate broader risk management and personal judgment when making investment decisions.
Pine Script® indicator
by DayTradingMD1992
Candle Numbers (last N, no bubble) Candle Numbers (last N, no bubble) is a lightweight utility indicator that labels candles with sequential numbers to make chart analysis and discussion easier (e.g., “candle 213”, “the breakout candle”, “the pivot”). It is designed for clarity and performance: labels are text-only (no background bubble) and are drawn only for the last N bars. What it does Numbers the last N candles on the chart (a sliding window near the most recent bar). Counting starts at the left edge of that window: the leftmost bar in the window is 1 the most recent bar in the window is N (or fewer if you use stepping / limits). Allows numbering every Nth bar to keep the chart clean. Places numbers below each candle, with a configurable vertical offset measured in ticks. Inputs Bars to number (last N) (barsWindow) Size of the numbered window (default 200). Number every N bars (step) 1 = every bar, 2 = every second bar, 5 = every fifth bar, etc. Text color (txtColor) Text size (txtSizeIn) tiny / small / normal / large Vertical offset (ticks) (offsetTick) Moves the label down by offsetTick * syminfo.mintick. You can use large values if needed. Max numbers to plot (maxMarks) Extra safeguard to control label count and performance. How it works (implementation notes) Labels are drawn only when barstate.islast is true (updates on the latest bar). Previously created labels are deleted and re-created each update to avoid clutter. Uses max_labels_count=500 plus maxMarks to stay within TradingView label limits. Notes This is not a trading signal indicator. It’s a chart annotation tool for analysis and manual backtesting.
Pine Script® indicator
by Walerjan
Weighted NIFTY 5D Directional BreadthOverview This indicator measures market participation quality within the NIFTY index by tracking how many heavily-weighted stocks are contributing to index direction over a rolling 5-day period. Instead of counting simple up/down closes, it evaluates directional momentum × index weight, making it far more reliable for identifying narrow leadership, distribution, and late-stage rallies. Why this indicator matters Indexes can continue making higher highs even when only a few large stocks are doing the lifting. This tool reveals what price alone hides: Whether participation is broad or narrowing When index highs are being driven by fewer contributors Early warnings of fragility before corrections How it works Each selected NIFTY stock is assigned a weight approximating index influence The indicator checks whether each stock is up or down versus its 5-day close Directional signals are weighted and aggregated The result is a single breadth line reflecting true contribution strength Positive values → weighted participation is supportive Negative values → weighted drag beneath the index How to interpret Index Higher High + Indicator Lower High → Narrow leadership, distribution risk Indicator turns down before price → Early loss of momentum Sustained positive readings → Healthy, broad participation Sustained negative readings → Market weakness beneath the surface This is not a buy/sell signal, but a context and risk-assessment tool. Best use cases Identifying late-stage rallies Confirming or rejecting breakouts Risk management for index trades Combining with price structure or momentum indicators Notes Designed for Daily and higher timeframes Uses non-repainting logic Best used alongside price action and structure Disclaimer This indicator is intended for educational and analytical purposes only. It does not provide financial advice or trade recommendations.
Pine Script® indicator
by ImpulseBull
XAUUSD 1M SCALP BY ELIRAN"The 1% Sniper" Strategy: Fast Forex Trading (1-Minute Chart) This is a strategy for disciplined traders looking for short, sharp market moves. The goal is to achieve a daily/weekly target of a single 1%, which will accumulate to the $1,000.1 pullback target. Technical SetupTimeframe: 1 minute chart ($1M$).Recommended assets: Major forex pairs with low spreads (like $EUR/USD$ or $GBP/USD$).Supporting indicators: Moving average ( NYSE:EMA \ 20/50$) to identify a short-term trend, and supply and demand areas ($Supply\ &\ Demand$).2. ExecutionEntry: Identify strong momentum on the minute chart. Enter only when there is a built-in confirmation (e.g.: a "hammer" candle on a support level or a breakout of a market structure).Risk management: NGM:RISK \ Per\ Trade$ is fixed. Since the target is 1% per portfolio, we are looking for a risk-reward ratio ($R:R$) of at least $1:2$.The Goal: Once the portfolio has reached a 1% profit that day – close the screen. This discipline is what will get you to $1,000 faster without "Putting" money back into the market. 3. The financial roadmap In this strategy, we are not looking for a single "hit", but consistency: Base capital: $2,250. Daily target: 1% ($\approx $22.5). The path to withdrawal: After about 45 successful trading days (or less, if you increase the lot carefully), you reach the $1,000 withdrawal target. Why does it work for you? Short screen time: A 1-minute chart allows you to find opportunities quickly, take your percentage and go about your business. Clear goal: Instead of dreaming of millions, you are focused on the next 1%. This makes the path to the next portfolio much more tangible. Protection of the capital: Working on a few percentages protects your $2,250 from too sharp fluctuations. Important to remember: On a 1-minute chart, the "noise" in the market is high. Make sure you work with a broker who has low commissions so that they They won't eat your 1% profit.
Pine Script® strategy
by elirancr24
Cross-Market Regime Scanner [BOSWaves]Cross-Market Regime Scanner - Multi-Asset ADX Positioning with Correlation Network Visualization Overview Cross-Market Regime Scanner is a multi-asset regime monitoring system that maps directional strength and trend intensity across correlated instruments through ADX-based coordinate positioning, where asset locations dynamically reflect their current trending versus ranging state and bullish versus bearish bias. Instead of relying on isolated single-asset trend analysis or static correlation matrices, regime classification, spatial positioning, and intermarket relationship strength are determined through ADX directional movement calculation, percentile-normalized coordinate mapping, and rolling correlation network construction. This creates dynamic regime boundaries that reflect actual cross-market momentum patterns rather than arbitrary single-instrument levels - visualizing trending assets in right quadrants when ADX strength exceeds thresholds, positioning ranging assets in left quadrants during consolidation, and incorporating correlation web topology to reveal which instruments move together or diverge during regime transitions. Assets are therefore evaluated relative to ADX-derived regime coordinates and correlation network position rather than conventional isolated technical indicators. Conceptual Framework Cross-Market Regime Scanner is founded on the principle that meaningful market insights emerge from simultaneous multi-asset regime awareness rather than sequential single-instrument analysis. Traditional trend analysis examines assets individually using separate chart windows, which often obscures the broader cross-market regime structure and correlation patterns that drive coordinated moves. This framework replaces isolated-instrument logic with unified spatial positioning informed by actual ADX directional measurements and correlation relationships. Three core principles guide the design: Asset positioning should be determined by ADX-based regime coordinates that reflect trending versus ranging state and directional bias simultaneously. Spatial mapping must normalize ADX values to place assets within consistent quadrant boundaries regardless of instrument volatility characteristics. Correlation network visualization reveals which assets exhibit coordinated behavior versus divergent regime patterns during market transitions. This shifts regime analysis from isolated single-chart monitoring into unified multi-asset spatial awareness with correlation context. Theoretical Foundation The indicator combines ADX directional movement calculation, coordinate normalization methodology, quadrant-based regime classification, and rolling correlation network construction. A Wilder's smoothing implementation calculates ADX, +DI, and -DI for each monitored asset using True Range and directional movement components. The ADX value relative to a configurable threshold determines X-axis positioning (ranging versus trending), while the difference between +DI and -DI determines Y-axis positioning (bearish versus bullish). Coordinate normalization caps values within fixed boundaries for consistent quadrant placement. Pairwise correlation calculations over rolling windows populate a network graph where line thickness and opacity reflect correlation strength. Five internal systems operate in tandem: Multi-Asset ADX Engine : Computes smoothed ADX, +DI, and -DI values for up to 8 configurable instruments using Wilder's directional movement methodology. Coordinate Transformation System : Converts ADX strength and directional movement into normalized X/Y coordinates with threshold-relative scaling and boundary capping. Quadrant Classification Logic : Maps coordinate positions to four distinct regime states—Trending Bullish, Trending Bearish, Ranging Bullish, Ranging Bearish—with color-coded zones. Historical Trail Rendering : Maintains rolling position history for each asset, drawing gradient-faded trails that visualize recent regime trajectory and velocity. Correlation Network Calculator : Computes pairwise return correlations across all enabled assets, rendering weighted connection lines in circular web topology with strength-based styling. This design allows simultaneous cross-market regime awareness rather than reacting sequentially to individual instrument signals. How It Works Cross-Market Regime Scanner evaluates markets through a sequence of multi-asset spatial processes: Data Request Processing : Security function retrieves high, low, and close values for up to 8 configurable symbols with lookahead offset to ensure confirmed bar data. ADX Calculation Per Asset : True Range computed from high-low-close relationships, directional movement derived from up-moves versus down-moves, smoothed via Wilder's method over configurable period. Directional Index Derivation : +DI and -DI calculated as smoothed directional movement divided by smoothed True Range, scaled to percentage values. Coordinate Transformation : X-axis position equals (ADX - threshold) * 2, capped between -50 and +50; Y-axis position equals (+DI - -DI), capped between -50 and +50. Quadrant Assignment : Positive X indicates trending (ADX > threshold), negative X indicates ranging; positive Y indicates bullish (+DI > -DI), negative Y indicates bearish. Trail History Management : Configurable-length position history maintains recent coordinates for each asset, rendering gradient-faded lines connecting sequential positions. Velocity Vector Calculation : 7-bar coordinate change converted to directional arrow overlays showing regime momentum and trajectory. Return Correlation Processing : Bar-over-bar returns calculated for each asset, pairwise correlations computed over rolling window. Network Graph Construction : Assets positioned in circular topology, correlation lines drawn between pairs exceeding threshold with thickness/opacity scaled by correlation strength, positive correlations solid green, negative correlations dashed red. Risk Regime Scoring : Composite score aggregates bullish risk-on assets (equities, crypto, commodities) minus bullish risk-off assets (gold, dollar, VIX), generating overall market risk sentiment with colored candle overlay. Together, these elements form a continuously updating spatial regime framework anchored in multi-asset momentum reality and correlation structure. Interpretation Cross-Market Regime Scanner should be interpreted as unified spatial regime boundaries with correlation context: Top-Right Quadrant (TREND ▲) : Assets positioned here exhibit ADX above threshold with +DI exceeding -DI - confirmed bullish trending conditions with directional conviction. Bottom-Right Quadrant (TREND ▼) : Assets positioned here exhibit ADX above threshold with -DI exceeding +DI - confirmed bearish trending conditions with directional conviction. Top-Left Quadrant (RANGE ▲) : Assets positioned here exhibit ADX below threshold with +DI exceeding -DI - ranging consolidation with bullish bias but insufficient trend strength. Bottom-Left Quadrant (RANGE ▼) : Assets positioned here exhibit ADX below threshold with -DI exceeding +DI - ranging consolidation with bearish bias but insufficient trend strength. Position Trails : Gradient-faded lines connecting recent coordinate history reveal regime trajectory - curved paths indicate regime rotation, straight paths indicate sustained directional conviction. Velocity Arrows : Directional vectors overlaid on current positions show 7-bar regime momentum - arrow length indicates speed of regime change, angle indicates trajectory direction. Correlation Web : Circular network graph positioned left of main quadrant map displays pairwise asset relationships - solid green lines indicate positive correlation (moving together), dashed red lines indicate negative correlation (diverging moves), line thickness reflects correlation strength magnitude. Asset Dots : Multi-layer glow effects with color-coded markers identify each asset on both quadrant map and correlation web-symbol labels positioned adjacent to current location. Regime Summary Bar : Vertical boxes on right edge display condensed regime state for each enabled asset - box background color reflects quadrant classification, border color matches asset identifier. Risk Regime Candles : Overlay candles on price chart colored by composite risk score - green indicates risk-on dominance (bullish equities/crypto exceeding bullish safe-havens), red indicates risk-off dominance (bullish gold/dollar/VIX exceeding bullish risk assets), gray indicates neutral balance. Quadrant positioning, trail trajectory, correlation network topology, and velocity vectors outweigh isolated single-asset readings. Signal Logic & Visual Cues Cross-Market Regime Scanner presents spatial positioning insights rather than discrete entry signals: Regime Clustering : Multiple assets congregating in same quadrant suggests broad market regime consensus - all assets in TREND ▲ indicates coordinated bullish momentum across instruments. Regime Divergence : Assets splitting across opposing quadrants reveals intermarket disagreement - equities in TREND ▲ while safe-havens in TREND ▼ suggests healthy risk-on environment. Quadrant Transitions : Assets crossing quadrant boundaries mark regime shifts - movement from left (ranging) to right (trending) indicates breakout from consolidation into directional phase. Trail Curvature Patterns : Sharp curves in position trails signal rapid regime rotation, straight trails indicate sustained directional conviction, loops indicate regime uncertainty with back-and-forth oscillation. Velocity Acceleration : Long arrows indicate rapid regime change momentum, short arrows indicate stable regime persistence, arrow direction reveals whether asset moving toward trending or ranging state. Correlation Breakdown Events : Previously strong correlation lines (thick, opaque) suddenly thinning or disappearing indicates relationship decoupling - often precedes major regime transitions. Correlation Inversion Signals : Assets shifting from positive correlation (solid green) to negative correlation (dashed red) marks structural market regime change - historically correlated assets beginning to diverge. Risk Score Extremes : Composite score reaching maximum positive (all risk-on bullish, all risk-off bearish) or maximum negative (all risk-on bearish, all risk-off bullish) marks regime conviction extremes. The primary value lies in simultaneous multi-asset regime awareness and correlation pattern recognition rather than isolated timing signals. Strategy Integration Cross-Market Regime Scanner fits within macro-aware and intermarket analysis approaches: Regime-Filtered Entries : Use quadrant positioning as directional filter for primary trading instrument - favor long setups when asset in TREND ▲ quadrant, short setups in TREND ▼ quadrant. Correlation Confluence Trading : Enter positions when target asset and correlated instruments occupy same quadrant - multiple assets in TREND ▲ provides conviction for long exposure. Divergence-Based Reversal Anticipation : Monitor for regime divergence between correlated assets - if historically aligned instruments split to opposite quadrants, anticipate mean-reversion or regime rotation. Breakout Confirmation via Cross-Asset Validation : Confirm primary instrument breakouts by verifying correlated assets simultaneously transitioning from ranging to trending quadrants. Risk-On/Risk-Off Positioning : Use composite risk score and safe-haven positioning to determine overall market environment - scale risk exposure based on risk regime dominance. Velocity-Based Timing : Enter during periods of high regime velocity (long arrows) when momentum carries assets decisively into new quadrants, avoid entries during low velocity regime uncertainty. Multi-Timeframe Regime Alignment : Apply higher-timeframe regime scanner to establish macro context, use lower-timeframe price action for entry timing within aligned regime structure. Correlation Web Pattern Recognition : Identify regime transitions early by monitoring correlation network topology changes - previously disconnected assets forming strong correlations suggests regime coalescence. Technical Implementation Details Core Engine : Wilder's smoothing-based ADX calculation with separate True Range and directional movement tracking per asset Coordinate Model : Threshold-relative X-axis scaling (trending versus ranging) with directional movement differential Y-axis (bullish versus bearish) Normalization System : Boundary capping at ±50 for consistent spatial positioning regardless of instrument volatility Trail Rendering : Rolling array-based position history with gradient alpha decay and width tapering Correlation Engine : Return-based pairwise correlation calculation over rolling window with configurable lookback Network Visualization : Circular topology with trigonometric positioning, weighted line rendering based on correlation magnitude Risk Scoring : Composite calculation aggregating directional states across classified risk-on and risk-off asset categories Performance Profile : Optimized for 8 simultaneous security requests with efficient array management and conditional rendering Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Micro-regime monitoring for intraday correlation shifts and short-term regime rotations 15 - 60 min : Intraday regime structure with meaningful ADX development and correlation stability 4H - Daily : Swing and position-level macro regime identification with sustained trend classification Weekly - Monthly : Long-term regime cycle tracking with structural correlation pattern evolution Suggested Baseline Configuration: ADX Period : 14 ADX Smoothing : 14 Trend Threshold : 25.0 Trail Length : 15 Correlation Period : 50 Min |Correlation| to Show Line : 0.3 Web Radius : 30 Show Quadrant Colors : Enabled Show Regime Summary Bar : Enabled Show Velocity Arrows : Enabled Show Correlation Web : Enabled These suggested parameters should be used as a baseline; their effectiveness depends on the selected assets' volatility profiles, correlation characteristics, and preferred spatial sensitivity, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Assets clustering too tightly : Decrease Trend Threshold (e.g., 20) to spread ranging/trending separation, or increase ADX Period for smoother ADX calculation reducing noise. Assets spreading too widely : Increase Trend Threshold (e.g., 30-35) to demand stronger ADX confirmation before classifying as trending, tightening quadrant boundaries. Trail too short to show trajectory : Increase Trail Length (20-25) to visualize longer regime history, revealing sustained directional patterns. Trail too cluttered : Decrease Trail Length (8-12) for cleaner visualization focusing on recent regime state, reducing visual complexity. Unstable ADX readings : Increase ADX Period and ADX Smoothing (18-21) for heavier smoothing reducing bar-to-bar regime oscillation. Sluggish regime detection : Decrease ADX Period (10-12) for faster response to directional changes, accepting increased sensitivity to noise. Too many correlation lines : Increase Min |Correlation| threshold (0.4-0.6) to display only strongest relationships, decluttering network visualization. Missing significant correlations : Decrease Min |Correlation| threshold (0.2-0.25) to reveal weaker but potentially meaningful relationships. Correlation too volatile : Increase Correlation Period (75-100) for more stable correlation measurements, reducing network line flickering. Correlation too stale : Decrease Correlation Period (30-40) to emphasize recent correlation patterns, capturing regime-dependent relationship changes. Velocity arrows too sensitive : Modify 7-bar lookback in code to longer period (10-14) for smoother velocity representation, or increase magnitude threshold for arrow display. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Macro-aware trading approaches requiring cross-market regime context for directional bias Intermarket analysis strategies monitoring correlation breakdowns and regime divergences Portfolio construction decisions requiring simultaneous multi-asset regime classification Risk management frameworks using safe-haven positioning and risk-on/risk-off scoring Trend-following systems benefiting from cross-asset regime confirmation before entry Mean-reversion strategies identifying regime extremes via clustering patterns and correlation stress Reduced Effectiveness: Single-asset focused strategies not incorporating cross-market context in decision logic High-frequency trading approaches where multi-security request latency impacts execution Markets with consistently weak correlations where network topology provides limited insight Extremely low volatility environments where ADX remains persistently below threshold for all assets Instruments with erratic or unreliable ADX characteristics producing unstable coordinate positioning Integration Guidelines Confluence : Combine with BOSWaves structure, volume analysis, or primary instrument technical indicators for entry timing within aligned regime Quadrant Respect : Trust signals occurring when primary trading asset occupies appropriate quadrant for intended trade direction Correlation Context : Prioritize setups where target asset exhibits strong correlation with instruments in same regime quadrant Divergence Awareness : Monitor for safe-haven assets moving opposite to risk assets - regime divergence validates directional conviction Velocity Confirmation : Favor entries during periods of strong regime velocity indicating decisive momentum rather than regime oscillation Risk Score Alignment : Scale position sizing and exposure based on composite risk score - larger positions during clear risk-on/risk-off environments Trail Pattern Recognition : Use trail curvature to identify regime stability (straight) versus rotation (curved) versus uncertainty (looped) Multi-Timeframe Structure : Apply higher-timeframe regime scanner for macro filter, lower-timeframe for tactical positioning within established regime Disclaimer Cross-Market Regime Scanner is a professional-grade multi-asset regime visualization and correlation analysis tool. It uses ADX-based coordinate positioning and rolling correlation calculation but does not predict future regime transitions or guarantee relationship persistence. Results depend on selected assets' characteristics, parameter configuration, correlation stability, and disciplined interpretation. Security request timing may introduce minor latency in real-time data retrieval. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, volume context, fundamental macro awareness, and comprehensive risk management.
Pine Script® indicator
by BOSWaves