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Asset Ratio [Chart-Based] ASSET RATIO — INDICATOR DESCRIPTION & METADATA DESCRIPTION: Asset Ratio is an institutional-grade relative strength indicator that compares any two assets to identify mean reversion opportunities, breakouts, and regime changes through statistical deviation analysis. CORE FUNCTIONALITY: • Compare any asset pair (stocks, crypto, commodities, indices, USD) • Calculate Bollinger Band-style deviation bands around the ratio • Z-score analysis identifies extreme overbought/oversold conditions • Real-time correlation measurement between asset pair • Percentage change tracking from benchmark date KEY FEATURES: ✓ Four pre-built trading regimes (Long-Term, Bull-Run, Balanced, Custom) ✓ Dynamic Bollinger Bands with asymmetric deviation multipliers ✓ Institutional dashboard with Pairing, Deviation, Correlation, Verdict ✓ Mean reversion signal detection (crosses above lower band = bounce risk, crosses below upper band = pullback risk) ✓ Performance tracking from custom start date with live percentage change label ✓ Comprehensive tooltips and input guidance for all parameters ✓ Aurelius-compliant color theme (dark mode optimized) ✓ Works on any timeframe with configurable smoothing and lookback periods IDEAL FOR: • Relative strength trading (tech vs financials, crypto vs traditional assets) • Cross-asset momentum analysis • Mean reversion strategies • Pair trading and hedge construction • Macro thematic investing • Currency debasement monitoring (USD penalty mode) The indicator excels at identifying when one asset is trading at statistical extremes relative to a benchmark, signaling early entry and exit opportunities before the ratio mean-reverts back to equilibrium. CATEGORY: Technical Analysis / Relative Strength / Multi-Asset Analysis FEATURES SUMMARY: Input Categories: • Data Selection: Choose denominator asset, USD penalty, comparison mode • Calibration: Select regime profile or customize all parameters • Start Date: Benchmark for percentage change tracking Outputs: • Smoothed ratio with color-coded z-score status • Upper/Lower Bollinger Bands with standard deviation multipliers • Mean line with labeled endpoint • Institutional dashboard (5-row table with real-time metrics) • Percentage change label from start date • Mean reversion signal documentation Compatible Timeframes: • 1-minute to Monthly (responsive on all timeframes) Data Requirements: • Chart asset: Any valid TradingView symbol • Denominator asset: Any valid ticker (NASDAQ:QQQ, AMEX:GDX, COINBASE:BTCUSD, etc.) • USD comparisons supported with configurable debasement penalty USE CASES: 1. RELATIVE STRENGTH TRADING Monitor when tech (QQQ) outperforms/underperforms financial stocks (XLF) 2. MACRO THEMATIC ANALYSIS Track gold mining stocks (GDX) vs spot gold price for structural trades 3. PAIR TRADING Identify when correlated pairs diverge for mean reversion entries 4. CURRENCY DEBASEMENT MONITORING Compare commodity or asset prices to USD with penalty for inflation analysis 5. BREAKOUT CONFIRMATION Use correlation and z-score to validate momentum breakouts in ratio pairs 6. MOMENTUM ANALYSIS Identify which asset is gaining relative strength for directional trading VERSION HISTORY: v6.0 (Current) • Comprehensive input tooltips with regime profile guidance • Mean reversion signal documentation • Data validation with runtime error handling • Label at mean line endpoint • Aurelius theme compliance with enhanced visibility • Cross-asset correlation analysis • Z-score extremes detection • Institutional dashboard metrics CREDITS: Inspired by 'Market Hedge Ratio', created by Charles Edwards © TrendMatrix_Labs License: Mozilla Public License 2.0
Indicateur Pine Script®
par TrendMatrix_Labs
NAVI by Ravi Devraj Saxena (Gold RR 1.3)NAVI by Ravi Devraj Saxena (Gold RR2) This indicator is designed to help traders read volatility extremes and capture structured reversal opportunities using Bollinger Band interactions, session timing, and risk‑defined trade zones. NAVI intelligently manages one trade at a time, preventing overlapping positions and helping newer traders maintain disciplined execution. The system includes: Session‑filtered signals for precision trading during active hours Primary Long/Short setups based on BB touches and candle strength Extra Long/Short setups for momentum continuation opportunities Dynamic RR zones, visual entry pads, stop‑loss blocks, and target boxes Built‑in single‑position mode ensuring no new trade is taken until the current one fully closes Automatic TP/SL detection with chart labels for clean visual tracking Lightweight and optimized drawing engine for smooth use even on lower timeframes NAVI is built to support disciplined, rule‑based trading with clear structure, clean visuals, and zero ambiguity. Whether you scalp or intraday trade, this tool keeps your chart organized and your decisions consistent.
Indicateur Pine Script®
par ravidevrajsaxena
1
Gold Sniper MGC1 - Supply/DemandThis indicator, titled "Gold Sniper MGC1 - Pure Sniper", is a high-precision institutional trading tool designed specifically for XAUUSD (Gold) intraday analysis. It is engineered to replicate the professional "Smart Money" look of your reference chart by focusing only on high-value structural levels. Key Features and Logic: Institutional Structural Mapping: Unlike standard indicators that react to every minor price fluctuation, this tool utilizes a Pivot Strength filter. It only identifies levels that have acted as significant turning points over a specific historical period (e.g., 15+ bars), ensuring that only "Legendary" levels are displayed. Historical Demand Anchoring: The script is designed to capture levels like the 5035.84 support line by scanning deep into price history. It anchors the zone at the exact point of the historical pivot, showing that the level was established well before current price action. Automated Mitigation System: To maintain the extreme clarity seen in professional setups, the indicator features a dynamic cleanup engine. It automatically deletes a Demand or Supply zone the moment a candle closes beyond the level, ensuring you only focus on "unmitigated" or fresh areas of interest. Visual Fidelity: It uses the exact color codes from your primary reference: Teal (#00897b) for Demand and Slate Grey (#5d606b) for Supply. Zones are extended infinitely to the right to act as a clear target or entry point for the "Sniper" entry protocol.
Indicateur Pine Script®
par caktrading
SmartDCA by TradeAkademiSmartDCA is a single-direction (Long or Short) step-based DCA strategy with adaptive take-profit and structured risk management. All core parameters are fully user-configurable. The strategy logic does not enforce a fixed trading style; behavior depends entirely on user-selected settings. General Structure The strategy operates in one direction at a time (Long or Short). All position management logic is applied relative to the selected direction. The following components are fully controlled by the user: Trade direction (Long / Short) Entry model Entry filters Take-profit percentage DCA distance percentage TP/DCA increment scaling mode Order size model Maximum DCA steps Risk management options Exit model selection The strategy plan is visualized either across the entire chart history or within a user-defined custom backtest date range. Entry Configuration Users can select the entry model: Structural breakout RSI reversal Trend flip None (manual disable) Optional entry filters refine signal selection based on: Reward space Entry quality RSI extremity Fair value (VWMA) Trend alignment DCA & Position Scaling After initial entry: Additional DCA orders are triggered when price deviates from the average position price by the defined DCA percentage. DCA distance and take-profit levels expand step-by-step according to the selected scaling mode. Order size progression depends on the selected order size model. Maximum DCA steps define the upper exposure limit. This ensures the full theoretical risk is bounded and visible. Exit Models Users can choose the exit behavior: Fixed take-profit Structure-based exit Adaptive Fast Adaptive Slow Protect Profit Trend Ended None All exits are executed using market orders. Additional Risk Controls Optional risk features include: DCA Compression (partial size reduction after recovery) Defensive Profit Exit Trend Soft Stop (breakeven protection after trend reversal) These mechanisms are configurable and do not override the predefined maximum DCA limit. Visualization & Reporting The strategy provides: Active position tracking DCA step monitoring Position notional transparency Trend strength visualization Historical DCA performance summary Users may restrict execution to a custom backtest range or allow the strategy to operate across the full visible chart history. Risk Disclosure The maximum DCA step defines the full predefined risk envelope. Strong and sustained one-directional trends may lead to full DCA utilization. The strategy does not attempt unlimited recovery. Users are responsible for configuring position sizing and DCA parameters relative to their capital. This script is for educational and analytical purposes only and does not constitute investment advice.
Stratégie Pine Script®
par trade_akademi
Big Bite + Lock Profit Strategy Name: Big Bite + Lock Profit (Trend-Following with Dynamic Risk Management) 1. Core Concept This strategy is a robust Trend-Following system designed to capture significant market moves while minimizing equity volatility. It combines long-term trend filters with volatility-based trailing stops and a partial profit-taking mechanism to ensure capital preservation. 2. Technical Indicators Trend Filter: 200-period Exponential Moving Average (EMA 200). Entry/Trailing Stop: Supertrend Indicator (default: 10-period, 3.0 Multiplier). Volatility Measure: Average True Range (ATR) used for calculating the dynamic trailing stops. 3. Entry Logic (Long/Short) Long Entry: Price must be trading above the EMA 200 AND the Supertrend flips from Bearish to Bullish. Short Entry: Price must be trading below the EMA 200 AND the Supertrend flips from Bullish to Bearish. Purpose: This ensures we only trade in the direction of the dominant macro-trend, significantly reducing "Whipsaw" losses during market consolidations. 4. Exit & Trade Management (The "Lock Profit" Mechanic) Partial Take Profit (Locked Gains): Once the trade reaches a pre-defined target (e.g., 2% gain or a 1.5 R:R), 50% of the position is closed. This effectively "locks in" profit and moves the trade to a "risk-free" state. Full Exit (Trend End): The remaining 50% of the position is held until the Supertrend signals a reversal (trend change). This allows the strategy to "let the winners run" and capture the "Big Bite" of major trends. 5. Strategy Strengths (Backtest Performance Insights) High Sortino Ratio: The strategy demonstrates a high Sortino Ratio (approx. 5.47), indicating superior risk-adjusted returns with very low downside volatility. Healthy Holding Period: Unlike "scalping" bots, this strategy has an average holding period of 40+ bars, making it highly resilient to slippage and high commission costs in live trading environments. Asymmetric Reward-to-Risk: With an average win of ~1.28% vs. an average loss of ~0.41%, the strategy maintains a healthy 1:3 Reward-to-Risk ratio, ensuring long-term profitability even with a moderate win rate.
Stratégie Pine Script®
par tai239
Support Resistance EMA ORB PROSupport & Resistance + EMA + ORB — PRO (SREO-PRO) All-in-one intraday toolkit that combines pivot-based Support/Resistance, EMA trend signals, and a session Opening Range Breakout (ORB) into a single, chart-friendly indicator. What it includes EMA Trend Flags (ST/MT/LT) Up / Down: ST EMA crossing MT EMA Buy / Sell: MT EMA crossing LT EMA Optional EMA line plots for context Support & Resistance (Pivot Levels) Auto-draws pivot Resistance and Support bands Optional break markers (B) using a volume oscillator threshold Opening Range Breakout (ORB) Builds the opening range from your session start for a configurable number of minutes (e.g., 15m) Plots ORB High/Low levels Adds ORB breakout tags on confirmed breakouts Optional RR Lines Can draw Entry / Stop / Target lines using a risk multiple Disabled by default because extended target lines may affect chart autoscale on some symbols Designed to be chart-safe Uses in-range plots and bar-anchored markers. No off-chart drawings or extreme-value plots by default. RR lines are optional and off unless you enable them. Best use Ideal for index futures, options scalping, and intraday momentum trading where you want: quick EMA trend state, clear SR structure, and a reliable ORB breakout framework. Not financial advice. Use at your own risk.
Indicateur Pine Script®
par chandranewagetrader
FVG (3-Candle) + ORBOpening Range (9:30–9:45 New York Time) The script calculates the high and low of the first 15 minutes of the New York session (9:30–9:45 AM ET) and extends those levels across the remainder of the session. The ORB is calculated in New York time regardless of your chart timezone, ensuring accurate levels even on CME futures charts. This helps identify: • Early session liquidity zones • Breakout continuation levels • Reversal traps • Intraday bias
Indicateur Pine Script®
par adigalrealtor
Rishi Heikin-Ashi Trend High‑Level Purpose of Your Strategy Your script is a Heikin‑Ashi trend‑following strategy that: 1. Enters trades when HA candles flip color - Bullish flip → potential long - Bearish flip → potential short 2. Confirms the flip using real‑price indicators - EMA trend filter - MACD histogram direction - Optional RSI filter 3. Uses ATR‑based stop‑loss and take‑profit - Risk‑based position sizing - Optional exit on opposite HA flip 4. Adds visual clarity - BUY/SELL tags - Price labels - Trend shading - Performance label It’s a complete, professional‑grade strategy.
Stratégie Pine Script®
par mrishikesh
HTB Equivalent EMA + Trend Dashboard This is a solid Pine Script structure! You've built a multi-dimensional indicator that doesn't just look at price, but also considers trend slope (angle) and market regime (volatility/sideways).I’ve reviewed your logic. Here is a breakdown of what’s happening "under the hood" and a few minor refinements to ensure it runs smoothly in a live chart environment.🛠 Script Logic Breakdown1. Timeframe ScalingYour timeMultiplier logic is clever. It allows the indicator to "stay the same" visually even if you switch timeframes.The Math: If your baseTF is 5m and you move to a 1m chart, the script multiplies your lengths by 5.The Benefit: Your 200 EMA remains effectively a "5-minute 200 EMA" regardless of your current view.2. The Angle FormulaYou are using a normalized slope calculation:$$\text{Slope} = \frac{\Delta \text{Price}}{\text{ATR} \times \text{Length}}$ NYSE:BY dividing by the ATR (Average True Range), you prevent the angle from looking distorted when you switch from a high-priced asset (like BTC) to a low-priced one (like a penny stock). It keeps the "degrees" meaningful across different instruments.3. Market Regime FilteringThe script won't just fire signals blindly. It uses:ADX < 20: To identify "Chop" or sideways zones where EMAs usually fail.ATR Filter: To highlight high-volatility spikes.
Indicateur Pine Script®
par hbhargava727
ema20+60+200// @version=5 indicator("Engineer's System: Clean EMA 20 Cross", overlay=true) // ========================================== // 1. SETTINGS // ========================================== group_ma = "Moving Averages" maLength = input.int(20, title="Main MA (EMA 20)", group=group_ma) // ลบ Input EMA 9 ออกแล้ว ema13Length = input.int(13, title="Short MA (EMA 13)", group=group_ma) ema60Length = input.int(60, title="Trend MA (EMA 60)", group=group_ma) ema200Length = input.int(200, title="Filter MA (EMA 200)", group=group_ma) group_ut = "UT Bot Settings" ut_key = input.float(1.0, title="Key Value", step=0.1, group=group_ut) ut_period = input.int(10, title="ATR Period", group=group_ut) ut_showLine = input.bool(false, title="Show Trailing Line?", group=group_ut) // ========================================== // 2. CALCULATIONS // ========================================== maVal = ta.ema(close, maLength) // EMA 20 // ลบการคำนวณ EMA 9 ออกแล้ว ema13Val = ta.ema(close, ema13Length) // EMA 13 ema60Val = ta.ema(close, ema60Length) // EMA 60 ema200Val = ta.ema(close, ema200Length) // EMA 200 // --- Logic สีของเส้น --- // 1. EMA 200 (Traffic Light) bool isBullishTrend = ema60Val > ema200Val color trendColor = isBullishTrend ? color.lime : color.red // 2. EMA 20 (เปลี่ยนสีตามราคา) // ถ้า ราคาปิด > EMA 20 เป็นสีฟ้า, ถ้าต่ำกว่าเป็นสีม่วง bool isPriceAboveMA20 = close >= maVal color ema20Color = isPriceAboveMA20 ? color.aqua : color.purple // --- UT Bot Logic --- xATR = ta.atr(ut_period) nLoss = ut_key * xATR src = close xATRTrailingStop = 0.0 xATRTrailingStop := if src > nz(xATRTrailingStop , 0) and src > nz(xATRTrailingStop , 0) math.max(nz(xATRTrailingStop ), src - nLoss) else if src < nz(xATRTrailingStop , 0) and src < nz(xATRTrailingStop , 0) math.min(nz(xATRTrailingStop ), src + nLoss) else if src > nz(xATRTrailingStop , 0) src - nLoss else src + nLoss pos = 0 pos := if src < nz(xATRTrailingStop , 0) and src > nz(xATRTrailingStop , 0) 1 else if src > nz(xATRTrailingStop , 0) and src < nz(xATRTrailingStop , 0) -1 else nz(pos , 0) utBuy = (pos == 1) and (pos == -1) utSell = (pos == -1) and (pos == 1) // ========================================== // 3. PLOTTING // ========================================== // Plot EMA 200 plot(ema200Val, title="EMA 200 Traffic", color=trendColor, linewidth=3) // Plot EMA 60 & 13 plot(ema60Val, title="EMA 60", color=color.blue, linewidth=2) plot(ema13Val, title="EMA 13", color=color.aqua, linewidth=1) // --- EMA 20 (พระเอก: เส้นหนา เปลี่ยนสี) --- plot(maVal, title="EMA 20", color=ema20Color, linewidth=3) // *** ลบการแสดงผล EMA 9 และ Cloud ออกทั้งหมดแล้ว *** // ========================================== // 4. SIGNALS // ========================================== // สัญญาณหลัก (Price Cross EMA 20) trendBuy = ta.crossover(close, maVal) // ราคาปิด ตัดขึ้น EMA 20 trendSell = ta.crossunder(close, maVal) // ราคาปิด ตัดลง EMA 20 plotshape(trendBuy, title="Trend Buy", style=shape.labelup, location=location.belowbar, color=color.lime, text="BUY", textcolor=color.white, size=size.tiny) plotshape(trendSell, title="Trend Sell", style=shape.labeldown, location=location.abovebar, color=color.red, text="SELL", textcolor=color.white, size=size.tiny) // UT Bot Signals plotshape(utBuy, title="UT Bot Buy Dot", style=shape.circle, location=location.belowbar, color=color.lime, size=size.tiny) plotshape(utSell, title="UT Bot Sell Dot", style=shape.circle, location=location.abovebar, color=color.red, size=size.tiny) // ========================================== // 5. ALERTS // ========================================== alertcondition(trendBuy, title="Buy Signal", message="Engineer System: BUY (Close > EMA 20) 🚀") alertcondition(trendSell, title="Sell Signal", message="Engineer System: SELL (Close < EMA 20) 🔻") alertcondition(utBuy, title="UT Bot Buy Dot", message="UT Bot: BUY Signal 🟢") alertcondition(utSell, title="UT Bot Sell Dot", message="UT Bot: SELL Signal 🔴") alertcondition(isBullishTrend and not isBullishTrend , title="Trend 200 Bullish", message="Trend Change: EMA 60 Cross Above EMA 200 🟢") alertcondition(not isBullishTrend and isBullishTrend , title="Trend 200 Bearish", message="Trend Change: EMA 60 Cross Below EMA 200 🔴")
Indicateur Pine Script®
par yongyos987
Movement Efficiency - [Rider Algo]Movement Efficiency v2 — Rider Algo Developed by Rider Algo 🔬 WHAT IS THIS INDICATOR? Movement Efficiency measures how much of the market’s total movement actually translates into net directional progress . In simple terms: Is price advancing cleanly toward a destination, or thrashing around going nowhere? Most oscillators tell you how far or how fast price moved. This one asks a different question: how efficiently did it move? A market that travels 1,000 points to advance 800 points net = clean trend . A market that travels 1,000 points but only advances 100 points net = chop (even if candles look “exciting”). This distinction is critical for choosing the right strategy at the right time. --- 📐 HOW IT WORKS The indicator combines two layers of analysis: Layer 1 — Efficiency Ratio (Kaufman’s ER) The foundation is a well-known formula from quantitative finance: ER = |Close − Close | / Σ|Close − Close | over n bars This produces a value between 0 and 1 : ≈ 1.0 → price moved in a straight line (maximum efficiency). ≈ 0.0 → price moved a lot but ended near where it started (pure noise). Layer 2 — Wick Absorption Penalty (Microstructure Enhancement) Classic ER has a blind spot: it only uses closing prices . Two candles can have identical closes but tell totally different stories: Strong body + tiny wicks = clean push Tiny body + massive wicks = absorption / rejection This indicator: Computes a wick-to-body ratio per bar Averages it over the lookback Applies a soft penalty (square root to avoid over-punishment) Outputs an adjusted efficiency score that detects “dirty” advances classic ER misses --- 🎯 THREE MARKET REGIMES The indicator classifies the market into three zones : 🟢 TREND ZONE (green background) Efficiency is above the trend threshold → price is advancing cleanly with minimal noise. Best environment for trend-following (breakouts, MA crosses, momentum). Directional triangle signals: ▲ Green triangle = Bullish trend detected (upward efficient advance) ▼ Red triangle = Bearish trend detected (downward efficient decline) 🔴 CHOP ZONE (red background) Efficiency is below the chop threshold → lots of movement, no progress. Danger zone for trend-followers (whipsaws, failed breakouts, stop hunts). ▼ Orange triangle = Market entering chop regime 🟡 TRANSITION ZONE (no background) Efficiency is between thresholds → market is shifting. Watch for the next triangle to confirm direction. --- ⚙️ ASSET PROFILES (Pre-Tuned Thresholds) Different assets have different “normal” efficiency. The indicator includes four profiles: Crypto / High Volatility — relaxed thresholds Trend: 0.40 | Chop: 0.18 Designed for assets where large wicks and volatility are normal. Stocks / Medium Volatility — balanced thresholds Trend: 0.48 | Chop: 0.22 Forex / Low Volatility — stricter thresholds Trend: 0.55 | Chop: 0.28 Forex tends to print cleaner candles → higher bar for “trend”. Custom — set your own thresholds for any instrument/timeframe. --- 📊 INFORMATION PANEL The top-right dashboard shows: Efficiency — current adjusted efficiency score (0 to 1) Regime — TREND ▲ (bull), TREND ▼ (bear), CHOP ✗ , or TRANSITION ~ Percentile — where current reading sits vs last 200 bars Example: 85% = higher efficiency than 85% of recent history Wick Noise — average wick-to-body ratio (higher = more absorption/rejection) Profile — active asset profile --- 🔧 KEY SETTINGS Efficiency Period (default: 10 ) — lookback window Lower = more reactive | Higher = smoother 10 works well for weekly charts, 14 for daily. Smoothing Length (default: 3 ) — EMA applied to final output Reduces noise without significant lag. Wick Penalty Weight (default: 0.25 ) — how aggressively wicks reduce efficiency 0 = classic ER only | toward 1.0 = stricter microstructure filtering Color Mode — Gradient (continuous red→green) or Zones (discrete + directional bias) Show Raw ER — overlay classic ER (no wick penalty) for comparison --- 💡 PRACTICAL APPLICATIONS 1) Strategy Selection Filter Use as a meta-filter above your main strategy: Only take trend-following setups in TREND (green) Only take mean-reversion setups in CHOP (red) This can dramatically reduce false signals. 2) Regime Change Early Warning Watch for transitions: CHOP entry (orange triangle) Then a trend triangle (green/red) These often precede strong moves (consolidation → expansion). 3) Trend Quality Assessment Not all trends are equal: 0.65 + low wick noise = higher reliability 0.42 + high wick noise = “dirty” trend / less trustworthy Use Percentile to contextualize. 4) Risk Management If efficiency drops from TREND into TRANSITION , consider: Reducing position size Tightening stops Avoiding aggressive breakout chasing --- ⚠️ IMPORTANT NOTES This indicator does NOT repaint. Uses confirmed bar data + current bar → safe for backtesting and live trading. Not a buy/sell signal generator. It identifies the market regime so you can choose the right approach. Defaults are calibrated for crypto on weekly timeframes. For other assets/timeframes, start with the correct Asset Profile . No single indicator is a complete trading system. Always use risk management + confirmation.
Indicateur Pine Script®
par RiderAlgo
Ripster Clouds + Dashboard + Levels (v6)This indicator combines Ripster-style EMA Clouds, multi-timeframe trend tiles, RVOL, and Saty ATR trigger levels into a clean, configurable dashboard—plus optional session and prior-period levels—built for Pine Script v6. It’s designed as a chart overlay tool (not a strategy) to help visualize trend context, volatility bands, and key reference levels without clutter. What it includes 1) Ripster EMA Clouds (overlay) Multiple EMA cloud pairs (classic Ripster approach) Optional display of cloud lines and cloud fills Trend coloring based on short vs long EMA relationship 2) MTF Trend Dashboard Multi-timeframe “Bullish / Bearish / Waiting Data” tiles (ex: 1H, Daily, Weekly) Uses request.security() with non-repainting configuration (lookahead off) 3) RVOL + Candle Volume Panel Shows current candle volume and RVOL % Shows previous candle RVOL % Color-coded thresholds (ex: Red/Orange/Yellow based on RVOL strength) 4) Saty ATR Levels ATR-based trigger levels (upper/lower trigger) ±1 ATR levels and optional ±2 ATR extensions Table summary showing range vs ATR context and trigger prices 5) Optional Key Levels Premarket High/Low (session-based) After Hours High/Low (session-based) Day High/Low Previous Day High/Low Previous Week High/Low (Displayed as right-edge labeled lines; each group can be toggled independently.) View-safe behavior (prevents candle “squeeze”) To avoid TradingView candle compression on lower timeframes, the script supports a view-safe / TF gating mode: “Heavy” elements (lots of lines/plots) can be automatically limited below a minimum timeframe Right-edge labels are kept in-range (so they don’t force autoscale) How to use Use the dashboard tiles to confirm trend alignment across timeframes. Use RVOL to quickly see participation spikes. Use ATR trigger levels to identify volatility break conditions and “range vs ATR” context. Use Premarket / prior-period levels as intraday reference zones. Notes / Disclaimer This is not financial advice. This indicator does not place trades and is not a backtest strategy. Some features may be intentionally disabled on very low timeframes when view-safe mode is enabled.
Indicateur Pine Script®
par chandranewagetrader
MoonBoys BTC Production Cost Daily═════════════════════════════════════════════════════════════ MoonBoys BTC PRODUCTION COST DAILY ═════════════════════════════════════════════════════════════ Track Bitcoin's real-time production cost using comprehensive electricity consumption data and mining economics to identify macro support/resistance zones. ═══ OVERVIEW ═══ This indicator calculates Bitcoin's actual cost of production by combining Cambridge Bitcoin Electricity Consumption Index (CBECI) data with electricity pricing models across different mining eras. It reveals where miners are profitable or underwater, providing crucial macro-level support zones that have historically acted as psychological and economic floors. Perfect for: • Identifying long-term accumulation zones • Understanding miner profitability and capitulation risk • Spotting macro support levels during bear markets • Gauging healthy vs. overheated price levels • Planning dollar-cost averaging strategies ═══ KEY FEATURES ═══ 📊 COMPREHENSIVE HISTORICAL DATA └─ 378 data points spanning 2011-2026 └─ Complete CBECI electricity consumption dataset └─ Verified accuracy: all dates and values cross-checked └─ Updates every ~14 days with new CBECI releases ⚡ ELECTRICITY COST MODELING └─ Pre-June 2019: $0.05/kWh (Early mining era) └─ Pre-April 2021: $0.04/kWh (China dominance period) └─ Post-May 2021: $0.05/kWh (China exodus, Western migration) └─ Post-April 2024: $0.05/kWh (Post-4th halving era) └─ Fully customizable for scenario analysis 🎯 DUAL COST CURVES └─ Red line: Pure electricity cost per BTC └─ Purple line: Total production cost (electricity + operations) └─ Green line: Miner price (spot + transaction fee revenue) └─ Pink fill: Zones where miners are losing money 📈 AUTOMATIC HALVING ADJUSTMENTS └─ Integrates all Bitcoin halvings (2012, 2016, 2020, 2024) └─ Block reward automatically adjusts: 50 → 25 → 12.5 → 6.25 → 3.125 └─ Accurate per-day BTC production calculations 💰 PROFIT MARGIN TRACKING └─ Annual profit margin labels (optional) └─ Shows miner profitability percentage └─ Appears on chart at electricity cost level └─ Calculated using 365-day moving average ═══ HOW TO READ IT ═══ ┌─────────────────────────────────────────────────────────┐ │ INDICATOR │ MEANING │ ├─────────────────────────────────────────────────────────┤ │ 🟢 Green Line │ Miner Price (BTC price + fee revenue)│ │ (above purple) │ → Miners profitable, healthy market │ ├─────────────────────────────────────────────────────────┤ │ 🟢 Green Line │ Price below production cost │ │ (below purple) │ → Miner capitulation zone │ │ │ → Strong historical buy signal │ ├─────────────────────────────────────────────────────────┤ │ 🔴 Red Line │ Pure electricity cost per BTC │ │ │ → Absolute minimum mining cost │ ├─────────────────────────────────────────────────────────┤ │ 🟣 Purple Line │ Total production cost │ │ │ → Break-even for miners (60% elec) │ ├─────────────────────────────────────────────────────────┤ │ 🌸 Pink Fill │ Below-cost territory │ │ │ → Miners selling at a loss │ │ │ → Historical accumulation zone │ └─────────────────────────────────────────────────────────┘ ═══ TRADING APPLICATIONS ═══ 🐻 BEAR MARKET BOTTOMS → Price touching or breaking below production cost = high probability bottom → Extended periods below cost = miner capitulation → Historical bottoms: Nov 2011, Jan 2015, Dec 2018, Nov 2022 → Strongest buy signal in macro Bitcoin investing 📈 BULL MARKET HEALTH CHECKS → Distance above production cost = market heat level → 100-200% above cost = healthy bull market → 500%+ above cost = euphoric/bubble territory → Use as take-profit reference points 💎 ACCUMULATION STRATEGY → DCA when price approaches production cost → Increase buy size when price drops below cost → Maximum allocation when 10-20% below cost → Layer entry as margin shows negative percentages ⚖️ SUPPORT/RESISTANCE ZONES → Production cost acts as macro support in downtrends → Often becomes resistance after prolonged bear markets → Price reclaiming cost = bullish structural shift → Failed reclaims = continued weakness 🔄 HALVING CYCLE ANALYSIS → Cost doubles after each halving (supply cut) → Price typically consolidates near new cost basis → Historic pattern: break above cost = new bull cycle → Track 6-12 months post-halving for trend confirmation ═══ SETTINGS GUIDE ═══ ⚡ ELECTRICITY COST ASSUMPTIONS (USD/kWh) ├─ Pre-June 2019 (0.05): Early mining era, hobby miners ├─ Pre-China Exodus 2021 (0.04): Cheap Chinese hydropower ├─ Post-May 2021 (0.05): Western migration, higher costs └─ Post-April 2024 (0.05): Current era post-4th halving 💡 Adjust these for "what if" scenarios or local costs 💰 ELECTRICITY PERCENTAGE (Default: 60%) └─ Electricity as % of total mining costs └─ Remaining 40% = hardware, labor, rent, maintenance └─ Lower % = higher total cost (more conservative) └─ Typical range: 50-70% 🎨 VISUAL TOGGLES ├─ Plot BTC Miner Price: Show/hide green line │ └─ Includes transaction fee revenue per BTC ├─ Plot Production Cost Curves: Show/hide red & purple lines └─ Plot Annual Profit Margin Labels: Show/hide margin % └─ Appears annually (Jan 1st) and on last bar ═══ HOW IT WORKS ═══ 1. ELECTRICITY CONSUMPTION DATA • Cambridge Bitcoin Electricity Consumption Index (CBECI) • Actual network-wide energy usage in TWh (terawatt-hours) • Updated bi-weekly with real hash rate data • 378 historical data points (Aug 2011 - Jan 2026) 2. COST CALCULATION FORMULA Electricity Cost per BTC = (TWh per year / 365.25 days) × (10^9 to convert to kWh) / (BTC mined per day) × (Electricity price per kWh) Total Cost per BTC = Electricity Cost / (Electricity % of total costs) 3. BTC MINED PER DAY Blocks per day (144) × Block reward • 2009-2012: 50 BTC/block = 7,200 BTC/day • 2012-2016: 25 BTC/block = 3,600 BTC/day • 2016-2020: 12.5 BTC/block = 1,800 BTC/day • 2020-2024: 6.25 BTC/block = 900 BTC/day • 2024+: 3.125 BTC/block = 450 BTC/day 4. MINER PRICE METRIC Spot close price + (Transaction fees per day / BTC mined per day) • Currently simplified with fees = 0 • Shows true revenue per BTC for miners 5. PROFIT MARGIN CALCULATION ((Miner Price / Total Cost) - 1) × 100 • Smoothed with 365-day SMA • Shows sustainable annual profitability ═══ BEST PRACTICES ═══ ✅ DO: • Use on DAILY timeframe for accuracy (designed for daily data) • Combine with on-chain metrics (SOPR, MVRV, Puell Multiple) • Layer with traditional TA for entry/exit timing • Understand this is AVERAGE global cost (varies by miner) • Use as macro filter, not short-term trading signal • Check profit margins during capitulation events ❌ DON'T: • Use as sole indicator for short-term trades • Ignore that efficient miners have much lower costs • Forget that cost is constantly rising (hash rate + difficulty) • Assume price can't go below cost (it can temporarily) • Trade based only on cost - liquidity events can wick lower • Expect instant reversals at cost levels ═══ HISTORICAL PERFORMANCE ═══ Major Bitcoin bottoms near/below production cost: 📅 November 2011 Price: ~$2 | Cost: ~$5 → 60% below cost, -95% drawdown → Bottom signal ✓ 📅 January 2015 Price: ~$150 | Cost: ~$180 → 17% below cost, -85% drawdown → Bottom signal ✓ 📅 December 2018 Price: ~$3,200 | Cost: ~$3,500 → 9% below cost, -84% drawdown → Bottom signal ✓ 📅 November 2022 Price: ~$15,500 | Cost: ~$17,000 → 9% below cost, -77% drawdown → Bottom signal ✓ Pattern: When price trades below production cost, accumulation zone. ═══ TECHNICAL NOTES ═══ • Built with Pine Script v5 • Data source: Cambridge Centre for Alternative Finance (CBECI) Updated Quaterly by Request • All dates/values verified against official CSV dataset • Electricity price adjusts based on major mining regime shifts • Uses series variables for proper historical calculation • Forward-fills data between CBECI update periods • Accounts for all 4 halvings in BTC history ═══ DATA PERIODS EXPLAINED ═══ 🏭 PRE-JUNE 2019 ($0.05/kWh) Early mining era, distributed hobby miners, average global cost 🇨🇳 JUNE 2019 - APRIL 2021 ($0.04/kWh) China dominance period, cheap hydropower in Sichuan/Yunnan 🌍 MAY 2021 - APRIL 2024 ($0.05/kWh) China ban, Western migration, renewable energy transition 🔮 POST-APRIL 2024 ($0.05/kWh) 4th halving, institutional mining, current era ═══ UNDERSTANDING MINING ECONOMICS ═══ ⚡ ELECTRICITY = 60% OF COST (Default) └─ Largest variable expense for miners └─ Directly tied to hash rate and difficulty 🔧 OTHER COSTS = 40% ├─ ASIC hardware (depreciation) ├─ Facility rent and cooling ├─ Labor and maintenance ├─ Internet and infrastructure └─ Insurance and legal 💰 REVENUE SOURCES ├─ Block subsidy (newly minted BTC) └─ Transaction fees (variable, usually 2-10% of revenue) 📉 MINER BEHAVIOR • Profitable: Accumulate BTC, expand operations • Break-even: Hold BTC, maintain operations • Unprofitable: Forced selling, potential capitulation ═══ ADVANCED USE CASES ═══ 🔬 SCENARIO ANALYSIS → Adjust electricity costs to model different regions → US miners: $0.05-0.07/kWh → Nordic miners: $0.02-0.04/kWh → Middle East: $0.01-0.03/kWh 📊 COMBINE WITH ON-CHAIN DATA → Miner Net Position Change (selling pressure) → Hash Ribbons (miner capitulation indicator) → Difficulty Ribbon (hash rate compression) → Puell Multiple (miner revenue extremes) 🎯 MULTI-TIMEFRAME CONFLUENCE → Weekly chart: macro trend and cost support → Daily chart: precise entry/exit near cost → 4H chart: short-term reactions at cost levels 🌐 CORRELATION TRADING → Miner stocks (MARA, RIOT, CLSK) vs BTC cost → When BTC < cost, miner stocks typically -30-50% → Energy prices (oil, nat gas) affect mining costs ═══ LIMITATIONS & CONSIDERATIONS ═══ ⚠️ AVERAGE COST, NOT ACTUAL • Large miners with PPAs have costs as low as $0.02-0.03/kWh • Inefficient miners may have costs 2-3x the average • This shows network-wide average for reference ⚠️ ELECTRICITY PRICE ASSUMPTIONS • Static periods vs. dynamic energy markets • Renewable energy % growing = lower average cost over time • Geographic distribution matters (Texas vs. Kazakhstan) ⚠️ DOESN'T INCLUDE • ASIC efficiency improvements (more hash/watt) • Stranded energy and flare gas mining • Government subsidies or penalties • Seasonal variations (wet/dry seasons) ⚠️ LAGGING INDICATOR • CBECI data updates every ~14 days • Historical data, not forward-looking • Cost always rises, but at variable rate ═══ DISCLAIMER ═══ This indicator visualizes Bitcoin's estimated global average production cost based on publicly available electricity consumption data and modeled pricing assumptions. It does NOT: • Guarantee future price movements or bottoms • Account for individual miner profitability variations • Include all operational costs (simplified to electricity %) • Predict miner capitulation or selling pressure • Constitute financial advice or buy/sell signals Production cost is A REFERENCE POINT, not a hard floor. Price can and has traded below cost during extreme capitulation events. Market liquidity, macro conditions, and sentiment often override cost-basis logic in the short term. Always conduct your own research and use proper risk management. 📚 EDUCATIONAL USE ONLY | NOT FINANCIAL ADVICE ═══ RESOURCES ═══ Cambridge Bitcoin Electricity Consumption Index (CBECI) → ccaf.io Bitcoin Mining Economics → insights.braiins.com Block Reward Halving Schedule → www.bitcoinblockhalf.com Difficulty & Hash Rate Charts → www.blockchain.com Understanding ASIC Mining → academy.binance.com Mining Profitability Calculator → www.coinwarz.com On-Chain Miner Metrics → cryptoquant.com Energy & Mining Data → hashrateindex.com ═══════════════════════════════════════════════════════════ Built for the Bitcoin community 🚀 Because understanding the cost of production is fundamental analysis 💎 ═══════════════════════════════════════════════════════════
Indicateur Pine Script®
par VickzinBK
TP-Trend中文 【原理概要】 本指标跳出了传统“仅依赖收盘价”的局限，采用典型价格 $HLC/3$ 作为底层数据源。通过对均线进行二阶平滑处理（EMA of EMA），能比传统双均线更早地发现趋势转折，同时有效过滤震荡市的假突破。 【核心功能】 双重平滑逻辑：$X_2$为典型价格的 6 周期平滑， $X_3$为其二阶 5 周期平滑，捕捉动能加速度。 视觉增强系统： 自动为 K 线着色。红色/棕色代表多头波段，绿色代表空头波段。 信号确认： 亮黄色（Buy）与深蓝色（Sell）柱体精准标记趋势引爆点。 零未来函数： 算法完全基于时序历史数据，信号不漂移，可直接用于实盘参考。 【使用建议】建议配合大周期趋势或成交量指标使用。在日线级别捕捉波段主升浪效果最佳。 English This script utilizes Typical Price ($HLC/3$) instead of standard Close prices to provide a more holistic view of market value. By applying a dual-smoothing EMA process, it identifies trend shifts with reduced lag while maintaining high sensitivity. Trend Coloring: Bars change color based on momentum (Red for Bullish, Green for Bearish). Actionable Signals: Distinct Yellow (Buy) and Blue (Sell) highlights on crossover bars. No Repaint: Purely mathematical approach based on historical data.
Indicateur Pine Script®
par william_wq
BlueSkyTerritory (2TF)BlueSkyTerritory (2TF) is a multi-timeframe volatility structure indicator built from widely used, non-proprietary concepts (Bollinger Bands, Keltner Channels, ATR, and MTF logic). It highlights periods of compression (tightening volatility / coiling price action) and helps visualize when volatility conditions shift toward expansion. What it does: - Runs two independent timeframes per instance (Layer A + Layer B) - Supports Low / Medium / High compression strength visualization - Uses confirmed (non-repainting) values for stability - Works on any liquid market: equities, futures, crypto, FX (price/volatility based) How to use (simple): - Use higher timeframes for context - Use lower timeframes for execution and trade management Compression does not mean “buy/sell” by itself — it’s a regime tool intended to be paired with your own confirmation and risk plan. Development note: This indicator was developed, and based on, publicly known volatility math and Pine Script rules. No proprietary source code or restricted indicators were used. Disclaimer: Educational use only. Not financial advice.
Indicateur Pine Script®
par cunderwood51
Muros Multi-TF (CON 50%)Claro, Chat. Aquí tienes la **descripción en inglés**, lista para pegar en TradingView: --- ### 📌 **Muros Multi-TF (Optimized)** Advanced **multi-timeframe tunnel indicator** designed to identify **key dynamic support and resistance zones**, market structure, and institutional reaction areas. The indicator plots tunnels based on **EMA 8 and EMA 15**, along with a **SMA 34**, across multiple timeframes: * 🟥 **Monthly (M)** * 🟪 **Weekly (W)** * ⚪ **Daily (D)** * 🔵 **4 Hours (4H)** * 🟡 **1 Hour (1H)** Each tunnel is displayed only when the current chart timeframe allows it, helping reduce noise and maintain a clean, professional chart. --- ### 🎯 **50% Tunnel Midline** Each tunnel includes a **50% midline**, representing the equilibrium level between EMA 8 and EMA 15. This midline can be **enabled or disabled individually** from the indicator settings for each timeframe. The 50% level acts as: * A price reaction zone * A pullback level * A decision area for trend continuation or rejection --- ### ⚙️ **Key Features** * Optimized multi-timeframe visualization * Full control from indicator settings * Color-coded tunnels by timeframe * Clean and professional design * Suitable for **scalping, intraday, and swing trading** * Works on any market --- ### 👨‍💻 **How to Use** Use the tunnels as **dynamic walls** and the 50% midline as a key reference for: * Pullback entries * Trend confirmation * Risk management and target planning --- 📈 *Built for traders who value structure, clarity, and precision.* If you want, I can also create: * a **short version** * a **more technical description** * or a **marketing-focused version** for public release
Indicateur Pine Script®
par raulerick351