SMA – RGB Wave RiderThe SMA Wave Rider is like catching a clean set rolling in — instead of just a flat white line, your SMA12 lights up with a color gradient that shows whether the trend is mellow or pumping. It measures the slope of the SMA, normalizes it for whatever timeframe you’re surfing, then runs it through a contrast curve so the steeper the wave, the hotter the color. Pick your palette — Miami neon, Sunrise vibes, Pumpkin Spice autumn glow — and watch the line shift as the market gains or loses momentum. It’s trend strength painted right on the rail, so you can ride the flow instead of just guessing where the current’s pulling you. 🏄♂️🌊
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Multi-Session High/Low Trackertable that shows rth eth and full weekly range high and low with range difference from high and low
Previous Week High/Low Fib Levelsautomatic fib with previous week high and low with custom retracement input
Gronk-Style Lunar Cycle Projection (fixed 30m base)Based on the lunar cycle timing provided by Gronko Polo - A Bromance in Finance
AI - 200 EMA with Offsets StrategyLong when close price crosses above +4% offset 200 day EMA
Sell when close price crosses below -6.5% offset 200 day EMA
Supertrend Long/Short with Adjustable R:R by JJThis script is a Supertrend-based trading tool with:
Long/Short trade signals
Risk/reward calculation
Position sizing based on risk, capital, and max shares
Visual labels for entries, targets, and stops
Checkmarks (✔) for successful trades and crosses (❌) for stopped trades
Alerts for trade entries
It’s designed for visual analysis on charts, helping you see trades, their targets, and whether they hit profit or stop-loss.
RSI +++Customizable RSI indicator with bullish and bearish color coding and pivot dots when RSI crosses its moving average.
Lot Size calculator@\dsfadlhubigjwqerfihlju;kbydewsdrghbliuyhofhuidgosdfjklbhnrdfsegxvz\dhjmnukilo,.
Beta -> PROFABIGHI_CAPITAL🌟 Overview
The Beta → PROFABIGHI_CAPITAL indicator calculates the systematic risk measurement of any asset relative to a chosen benchmark using statistical correlation analysis and variance decomposition methodology . It combines return calculation, covariance analysis, and variance measurement across (Asset Returns, Benchmark Returns, Correlation Analysis) with rolling window calculations. The indicator features automated beta coefficient calculation , zero-division protection , and benchmark comparison analysis for enhanced systematic risk assessment and market correlation identification.
⚙️ General Settings
– Lookback Period : Number of bars for calculating rolling statistics and correlations (1-500 bars, default: 30).
– Benchmark Symbol : Reference market index for beta calculation (default: CRYPTO:BTCUSD).
– Overlay Setting : False - displays as separate pane oscillator for clear beta visualization.
📊 Beta Calculation Components & Methods
The indicator calculates systematic risk metrics using advanced statistical methods:
- Asset Returns : Rate of change calculation for current asset percentage movements per bar
- Benchmark Returns : Rate of change calculation for benchmark percentage movements per bar
- Mean Asset Returns : Simple moving average of asset returns over lookback period
- Mean Benchmark Returns : Simple moving average of benchmark returns over lookback period
- Covariance Calculation : Manual computation measuring how asset and benchmark move together
- Benchmark Variance : Manual calculation of benchmark return volatility and dispersion
- Beta Coefficient : Systematic risk measure derived from covariance divided by benchmark variance
📈 Advanced Statistical Features
Correlation Analysis Framework:
- Return Decomposition : Separation of asset returns into systematic and unsystematic components
- Market Sensitivity : Measurement of asset responsiveness to benchmark movements
- Risk Attribution : Identification of market-related versus asset-specific risk factors
Rolling Window Analysis:
- Dynamic Lookback : Continuously updated statistics over specified period for current relevance
- Adaptive Calculation : Real-time recalculation with each new bar for evolving correlation analysis
- Statistical Smoothing : Moving average application for return volatility reduction
Mathematical Protection:
- Zero-Division Safety : Built-in protection preventing calculation errors when benchmark variance equals zero
- Error Handling : Returns appropriate values when statistical calculations become undefined
- Robust Framework : Maintains functionality across all market conditions and correlation scenarios
📏 Signal Levels & Interpretation
– Beta = 1 (Gray Dash) : Asset moves in perfect correlation with benchmark (same volatility)
– Beta > 1 (Above Line) : Asset exhibits higher volatility than benchmark (amplified movements)
– Beta < 1 (Below Line) : Asset exhibits lower volatility than benchmark (dampened movements)
– Beta = 0 (Zero Line) : No correlation between asset and benchmark movements
– Negative Beta : Inverse correlation - asset moves opposite to benchmark direction
📋 Beta Interpretation Framework
Systematic Risk Analysis :
- Beta > 1.0 : High Beta Asset - greater systematic risk and volatility than market
- Beta = 1.0 : Market Beta - moves in line with benchmark volatility
- Beta < 1.0 : Low Beta Asset - lower systematic risk and volatility than market
- Beta ≈ 0 : Market Neutral - minimal correlation with benchmark movements
- Negative Beta : Hedge Asset - provides portfolio diversification through inverse correlation
Portfolio Management Applications :
- Risk Assessment : Understanding asset's contribution to portfolio systematic risk
- Diversification Analysis : Identifying correlation patterns for portfolio construction
- Hedging Strategy : Utilizing beta relationships for risk management
- Asset Selection : Choosing assets based on desired beta characteristics
🎨 Visual Features
– Beta Line : Blue line plot with 2-pixel thickness showing beta coefficient evolution
– Reference Line : Horizontal dashed gray line at beta = 1 for market correlation reference
– Separate Pane Display : Independent oscillator visualization for focused beta analysis
– Dynamic Scaling : Automatic y-axis adjustment to accommodate beta value ranges
🔍 Advanced Features
– Multi-Asset Compatibility : Works across all asset classes and market instruments
– Benchmark Flexibility : Any tradable symbol can serve as correlation benchmark
– Real-Time Updates : Continuous beta recalculation with each new price bar
– Statistical Accuracy : Manual covariance and variance calculations ensuring precision
– Rolling Window Methodology : Maintains specified lookback period for all calculations
– Correlation Sensitivity : Responsive to changing market relationships and correlations
🔔 Beta Applications & Signals
– High Beta Identification : Assets with beta > 1.2 indicating high market sensitivity
– Low Beta Recognition : Assets with beta < 0.8 indicating defensive characteristics
– Beta Stability Analysis : Monitoring beta consistency over time for reliability assessment
– Correlation Breakdown : Identifying periods when historical correlations change
– Risk Management : Using beta values for position sizing and portfolio risk control
– Market Regime Detection : Beta changes often signal shifting market conditions
By utilizing precise statistical correlation analysis and systematic risk measurement , the Beta → PROFABIGHI_CAPITAL indicator provides mathematically robust market sensitivity analysis , offering accurate identification of systematic risk exposure through rigorous covariance calculation , variance analysis , and benchmark correlation assessment .
Multi Moving Averages with AlertsJUST moving Averages for EMA with ability to turn on and off and shows EMA on right side of it.
emavelas StrategyThe "emavelas Strategy" is a TradingView Pine Script (v6) for trend-following trading, combining EMA crossovers (7 and 25 periods) with candlestick patterns, market structure (HH/HL, BOS/CHOCH), volume/RSI filters, and multi-timeframe alignment (5m to Daily). It generates confirmed buy/sell signals, visualizes trends with lines/labels/tables, and includes backtesting with risk management (RR 2:1, dynamic SL/TP based on swings). Ideal for stocks, forex, or crypto on lower timeframes. Customizable via inputs; test in Strategy Tester. Note: Trading involves risks; not financial advice.
NY Session (PIPNEXUS) Description:
This indicator, created for the PIPNEXUS Community, is designed to make backtesting easier and more efficient. It highlights the New York session, allowing you to clearly see when the market experiences the highest volume and liquidity. By using this tool, PIPNEXUS members can better identify peak trading hours, spot potential high-momentum moves, and optimize their trading strategy. Ideal for traders who want a precise and visual way to track the most active market periods.
Supertrend Long/Short with 1.5R Checkmarks & Adjustable RSISupertrend long/short entries
EMA trend filters (21 ≥ 50 ≥ 200 for longs, 21 ≤ 50 ≤ 200 for shorts)
Adjustable RSI filter
Max capital per trade filter
Position sizing
1.5x risk/reward targets
Labels for entries
Alerts for trades
✅ Check mark when a trade hits 1.5R before hitting the stop
Trap Zone — Shinobi LabPurpose
Trap Zone draws a clean intraday “no-man’s-land” and its surrounding + / – zones so you can quickly see where momentum trades are favored — and where to avoid fighting the tape. It also overlays ADR bands to frame extreme extensions.
How it works
Trap Zone core: Built from recent high/low lookbacks and key MAs. You can include MA200 in the box bounds (on by default) for stronger regime context.
+1 / –1 zones: Dynamic bands just outside the Trap Zone, sized by an adaptive EB minimum (bar-size floor based on instrument price) or average body size.
ADR bands (+/–): Daily range estimate using the last 20 sessions with outlier filtering (keeps the 5 most representative ranges under a safe cap).
Anchoring & visuals: New zones/ADR levels are projected from the prior session close with configurable left/right extension, labels (“++”, “––”, “+++”, “–––”), and a skull label inside the box.
Why it’s useful
Clarity at a glance: Above the box → long context; below the box → short context. Inside the box = trap area where signals are lower-quality.
Avoid the worst spots: The shaded center helps you skip chop and wait for clean breaks.
Frame extensions: ADR lines highlight when price is getting stretched beyond a typical session move.
Main features
MAs: 8 / 20 / 200 / 500 (200 is optional in the box logic).
Lookbacks: independent highs/lows for precise box edges.
Adaptive EB sizing drives +1 / –1 placement.
Outlier-robust ADR calculation.
Customizable colors, labels, and projection length.
Best practices
Treat the Trap Zone as a filter, not an entry signal.
Favor longs for signals above the box and shorts for signals below it.
Use with your signal tool (e.g., EB/TB V11.4) to time entries while the Trap Zone provides bias and location.
Inputs (highlights)
Include MA200 in Trap Zone (on/off)
Bars for High / Low (lookback)
Visual Extension Zones & Left Visual Extension
Show Zones / Show ADR Labels
MA lengths (8/20/200/500)
Notes
Designed for equities; ADR is computed at the end of the regular session and projected forward.
Works on intraday charts; precision set to 2 by default.
