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Bank Zone by TheRealWealthVision V2The Bank Zone indicator is designed to help traders identify key price areas where institutions, banks, and large market participants are likely active. It highlights potential zones of accumulation, distribution, liquidity grabs, and high-value reaction levels. This tool automatically detects structural shifts, dynamic zones, and real-time market behavior to support more accurate decision-making. It is suitable for scalping, intraday trading, and swing trading across all markets including Forex, Indices, Crypto, Stocks, Commodities, and more. Main Features Automatic detection of potential institutional zones Real-time dynamic updates Clear visual highlights on the chart Designed to work on all timeframes Fully compatible with the latest TradingView Pine Script engine Best For Identifying high-probability reaction areas Understanding where big players may enter or exit Improving trade timing and precision Building a cleaner, more structured market view Important Notice This indicator does not repaint historical zones improperly, does not generate unrealistic signals, and follows all TradingView guidelines for script behavior.
Pine Script® indicator
by Imado_lartiista
BAY_PIVOT S/R(4 Full Lines + ALL Labels)//@version=5 indicator("BAY_PIVOT S/R(4 Full Lines + ALL Labels)", overlay=true, max_labels_count=500, max_lines_count=500) // ────────────────────── TOGGLES ────────────────────── showPivot = input.bool(true, "Show Pivot (Full Line + Label)") showTarget = input.bool(true, "Show Target (Full Line + Label)") showLast = input.bool(true, "Show Last Close (Full Line + Label)") showPrevClose = input.bool(true, "Show Previous Close (Full Line + Label)") useBarchartLast = input.bool(true, "Use Barchart 'Last' (Settlement Price)") showR1R2R3 = input.bool(true, "Show R1 • R2 • R3") showS1S2S3 = input.bool(true, "Show S1 • S2 • S3") showStdDev = input.bool(true, "Show ±1σ ±2σ ±3σ") showFib4W = input.bool(true, "Show 4-Week Fibs") showFib13W = input.bool(true, "Show 13-Week Fibs") showMonthHL = input.bool(true, "Show 1M High / Low") showEntry1 = input.bool(false, "Show Manual Entry 1") showEntry2 = input.bool(false, "Show Manual Entry 2") entry1 = input.float(0.0, "Manual Entry 1", step=0.25) entry2 = input.float(0.0, "Manual Entry 2", step=0.25) stdLen = input.int(20, "StdDev Length", minval=1) fib4wBars = input.int(20, "4W Fib Lookback") fib13wBars = input.int(65, "13W Fib Lookback") // ────────────────────── DAILY CALCULATIONS ────────────────────── high_y = request.security(syminfo.tickerid, "D", high , lookahead=barmerge.lookahead_on) low_y = request.security(syminfo.tickerid, "D", low , lookahead=barmerge.lookahead_on) close_y = request.security(syminfo.tickerid, "D", close , lookahead=barmerge.lookahead_on) pivot = (high_y + low_y + close_y) / 3 r1 = pivot + 0.382 * (high_y - low_y) r2 = pivot + 0.618 * (high_y - low_y) r3 = pivot + (high_y - low_y) s1 = pivot - 0.382 * (high_y - low_y) s2 = pivot - 0.618 * (high_y - low_y) s3 = pivot - (high_y - low_y) prevClose = close_y last = useBarchartLast ? request.security(syminfo.tickerid, "D", close , lookahead=barmerge.lookahead_off) : close target = pivot + (pivot - prevClose) // StdDev + Fibs + Monthly (unchanged) basis = ta.sma(close, stdLen) dev = ta.stdev(close, stdLen) stdRes1 = basis + dev stdRes2 = basis + dev*2 stdRes3 = basis + dev*3 stdSup1 = basis - dev stdSup2 = basis - dev*2 stdSup3 = basis - dev*3 high4w = ta.highest(high, fib4wBars) low4w = ta.lowest(low, fib4wBars) fib382_4w = high4w - (high4w - low4w) * 0.382 fib50_4w = high4w - (high4w - low4w) * 0.500 high13w = ta.highest(high, fib13wBars) low13w = ta.lowest(low, fib13wBars) fib382_13w_high = high13w - (high13w - low13w) * 0.382 fib50_13w = high13w - (high13w - low13w) * 0.500 fib382_13w_low = low13w + (high13w - low13w) * 0.382 monthHigh = ta.highest(high, 30) monthLow = ta.lowest(low, 30) // ────────────────────── COLORS ────────────────────── colRed = color.rgb(255,0,0) colLime = color.rgb(0,255,0) colYellow = color.rgb(255,255,0) colOrange = color.rgb(255,165,0) colWhite = color.rgb(255,255,255) colGray = color.rgb(128,128,128) colMagenta = color.rgb(255,0,255) colPink = color.rgb(233,30,99) colCyan = color.rgb(0,188,212) colBlue = color.rgb(0,122,255) colPurple = color.rgb(128,0,128) colRed50 = color.new(colRed,50) colGreen50 = color.new(colLime,50) // ────────────────────── 4 KEY FULL LINES ────────────────────── plot(showPivot ? pivot : na, title="PIVOT", color=colYellow, linewidth=3, style=plot.style_linebr) plot(showTarget ? target : na, title="TARGET", color=colOrange, linewidth=2, style=plot.style_linebr) plot(showLast ? last : na, title="LAST", color=colWhite, linewidth=2, style=plot.style_linebr) plot(showPrevClose ? prevClose : na, title="PREV CLOSE",color=colGray, linewidth=1, style=plot.style_linebr) // ────────────────────── LABELS FOR ALL 4 KEY LEVELS (SAME STYLE AS OTHERS) ────────────────────── f_label(price, txt, bgColor, txtColor) => if barstate.islast and not na(price) label.new(bar_index, price, txt, style=label.style_label_left, color=bgColor, textcolor=txtColor, size=size.small) if barstate.islast showPivot ? f_label(pivot, "PIVOT " + str.tostring(pivot, "#.##"), colYellow, color.black) : na showTarget ? f_label(target, "TARGET " + str.tostring(target, "#.##"), colOrange, color.white) : na showLast ? f_label(last, "LAST " + str.tostring(last, "#.##"), colWhite, color.black) : na showPrevClose ? f_label(prevClose, "PREV CLOSE "+ str.tostring(prevClose, "#.##"), colGray, color.white) : na // ────────────────────── OTHER LEVELS – line stops at label ────────────────────── f_level(p, txt, tc, lc, w=1) => if barstate.islast and not na(p) lbl = label.new(bar_index, p, txt, style=label.style_label_left, color=lc, textcolor=tc, size=size.small) line.new(bar_index-400, p, label.get_x(lbl), p, extend=extend.none, color=lc, width=w) if barstate.islast if showR1R2R3 f_level(r1, "R1 " + str.tostring(r1, "#.##"), color.white, colRed) f_level(r2, "R2 " + str.tostring(r2, "#.##"), color.white, colRed) f_level(r3, "R3 " + str.tostring(r3, "#.##"), color.white, colRed, 2) if showS1S2S3 f_level(s1, "S1 " + str.tostring(s1, "#.##"), color.black, colLime) f_level(s2, "S2 " + str.tostring(s2, "#.##"), color.black, colLime) f_level(s3, "S3 " + str.tostring(s3, "#.##"), color.black, colLime, 2) if showStdDev f_level(stdRes1, "+1σ " + str.tostring(stdRes1, "#.##"), color.white, colPink) f_level(stdRes2, "+2σ " + str.tostring(stdRes2, "#.##"), color.white, colPink) f_level(stdRes3, "+3σ " + str.tostring(stdRes3, "#.##"), color.white, colPink, 2) f_level(stdSup1, "-1σ " + str.tostring(stdSup1, "#.##"), color.white, colCyan) f_level(stdSup2, "-2σ " + str.tostring(stdSup2, "#.##"), color.white, colCyan) f_level(stdSup3, "-3σ " + str.tostring(stdSup3, "#.##"), color.white, colCyan, 2) if showFib4W f_level(fib382_4w, "38.2% 4W " + str.tostring(fib382_4w, "#.##"), color.white, colMagenta) f_level(fib50_4w, "50% 4W " + str.tostring(fib50_4w, "#.##"), color.white, colMagenta) if showFib13W f_level(fib382_13w_high, "38.2% 13W High " + str.tostring(fib382_13w_high, "#.##"), color.white, colMagenta) f_level(fib50_13w, "50% 13W " + str.tostring(fib50_13w, "#.##"), color.white, colMagenta) f_level(fib382_13w_low, "38.2% 13W Low " + str.tostring(fib382_13w_low, "#.##"), color.white, colMagenta) if showMonthHL f_level(monthHigh, "1M HIGH " + str.tostring(monthHigh, "#.##"), color.white, colRed50, 2) f_level(monthLow, "1M LOW " + str.tostring(monthLow, "#.##"), color.white, colGreen50, 2) // Manual entries plot(showEntry1 and entry1 > 0 ? entry1 : na, "Entry 1", color=colBlue, linewidth=2, style=plot.style_linebr) plot(showEntry2 and entry2 > 0 ? entry2 : na, "Entry 2", color=colPurple, linewidth=2, style=plot.style_linebr) // Background bgcolor(close > pivot ? color.new(color.blue, 95) : color.new(color.red, 95))
Pine Script® indicator
by baymont08980
Volume Momentum Strategy [MA/VWAP Cross]Deconstructing the Volume Momentum Strategy: An Analysis of MA-VWAP Cross Mechanics Introduction The "Volume Momentum Strategy " is a technical trading algorithm programmed in Pine Script v6 for the TradingView platform. At its core, the strategy is a trend-following system that utilizes the interaction between a specific Moving Average (MA) and the Volume Weighted Average Price (VWAP) to generate trade signals. While the primary execution logic relies on price crossovers, the strategy incorporates a sophisticated secondary layer of analysis using the Commodity Channel Index (CCI) and Stochastic Oscillator. Uniquely, these secondary indicators are applied to volume data rather than price, serving as a gauge for market participation and momentum intensity. The Core Engine: MA and VWAP Crossover The primary engine driving the strategy's buy and sell decisions is the crossover relationship between a user-defined Moving Average and the VWAP. 1. The Anchor (VWAP): The strategy calculates the Volume Weighted Average Price based on the HLC3 (High, Low, Close divided by 3) source. VWAP serves as the dynamic benchmark for "fair value" throughout the trading session. 2. The Trigger (Moving Average): The script allows for flexibility in defining the "fast" line, offering options such as Simple (SMA), Exponential (EMA), or Hull Moving Averages. 3. The Signal: o A Long (Buy) signal is generated when the chosen MA crosses over the VWAP. This suggests that short-term price momentum is exceeding the average volume-weighted price of the session, indicating bullish sentiment. o A Short (Sell) signal is generated when the MA crosses under the VWAP, indicating bearish pressure where price is being pushed below the session's volume-weighted average. The Role of CCI and Stochastic: Analyzing Volume Momentum The prompt specifically inquires about how the CCI and Stochastic indicators fit into this process. In standard technical analysis, these oscillators are used to identify overbought or oversold price conditions. However, this strategy repurposes them to analyze Volume Momentum. 1. The Calculation Instead of using close prices as the input source, the script passes volume data into both indicator functions: • Volume CCI: Calculated as ta.cci(volume, cciLength). This measures the deviation of current volume from its statistical average. • Volume Stochastic: Calculated as ta.stoch(volume, volume, volume, stochLength). This gauges the current volume relative to its recent range. 2. The "Volume Spike" Condition The strategy combines these two indicators to define a specific market condition labeled isVolumeSpike. A volume spike is confirmed only when both conditions are met simultaneously: • The Volume CCI must be greater than a defined threshold (default: 100). • The Volume Stochastic must be greater than a defined threshold (default: 80). 3. Integration into the Process It is critical to note how this script currently applies this "Volume Spike" logic: • Visual Confirmation: In the current version of the code, the isVolumeSpike boolean is used strictly for visual feedback. When a spike is detected, the script paints the specific price bar yellow and plots a small triangle marker below the bar. • Strategic Implication: While the code calculates these metrics, the variables long_condition and short_condition currently rely solely on the MA/VWAP crossover. The developer has left the volume logic as a visual overlay, noting in the comments that it serves as a "visual/alert" or a potential filter. • Potential Alpha: Conceptually, this setup implies that a trader should look for the MA/VWAP crossover to occur coincidentally with—or shortly after—a "Volume Spike" (yellow bar). This would confirm that the price move is backed by significant institutional participation (volume) rather than just retail noise. Risk Management and Time Constraints The strategy wraps these technical signals in a robust risk management framework. It includes hard-coded time windows (start/stop trading times) and a "Close All" function to prevent holding positions overnight. Furthermore, it employs both percentage-based and dollar-based Stop Loss and Take Profit mechanisms, ensuring that every entry—whether generated by a high-momentum crossover or a standard trend move—has a predefined exit plan. Conclusion The "Volume Momentum Strategy" is a hybrid system. It executes trades based on the reliable trend signal of MA crossing VWAP but informs the trader with advanced volume analytics. By processing volume through the CCI and Stochastic calculations, it provides a "heads-up" display regarding the intensity of market participation, allowing the trader to distinguish between low-volume drifts and high-volume breakout moves.
Pine Script® strategy
by vlenarcic
Volume detection trigger📌 Indicator Overview ** Capture a Moment of Market Attention ** This indicator combines abnormal volume (volume explosion) and price reversal patterns to capture a “signal-flare moment.” In other words, it is designed to detect moments when strong activity enters the market and a trend reversal or the start of a major uptrend/downtrend becomes likely. ✅ Strengths (Short Summary) Detects meaningful volume spikes rather than random volume increases Includes bottoming patterns such as long lower wicks & liquidity sweep lows Filters with EMA alignment / RSI / Stochastic to avoid overheated signals → catches early entries rather than tops 4H/Daily timing filter to detect signals only during high-liquidity market windows Designed as a rare-signal model for high reliability, not a noisy alert tool ➡ Summary: “The indicator fires only when volume, price structure, momentum, and timing align perfectly at the same moment.” 🎯 How to Use A signal does not mean you should instantly buy or sell. Treat it as a sign that “the market’s attention is now concentrated here.” After a signal appears, check: Whether price stays above EMA21 Whether there is room to the previous high (upside space) Whether a minor pullback or retest finds support 🔍 Practical Applications Use Case Description Swing Trading Detecting early-stage trend reversals Day Trading Spotting volume-driven shift points 🧠 Core Summary 📌 “A signal-flare indicator that automatically detects the exact moment when real volume hits the market.” → Not a tool to predict direction → A tool to recognize timing and concentration zones where major movement is likely to form ⚠ Important Note A surge in volume or a positive delta does NOT necessarily mean institutions are buying. The “institution/whale inflow” in the indicator is a model-based estimation, and it cannot identify buyers and sellers with 100% certainty. Volume, delta, cumulative flow, and VWAP breakout may all imply “strong participation,” but in some cases, the dominant side may still be sellers, such as: High volume at a peak (distribution) Heavy selling into strength Long upper wick after high delta Price failing to advance despite massive orders
Pine Script® indicator
by c9indicator
MarketCap & SectorThis indicator shows a quick fundamental snapshot for the current stock directly on the chart. It displays: - Market Cap in ₹ crores (for example: 4,609.11 Cr) - Market‑cap category based on size (Large‑cap, Mid‑cap, Small‑cap, or Micro‑cap) - Sector and Industry of the company - 1‑month average daily volume in a compact format (for example: 10.5M) Use it to instantly see how big the company is, what segment of the market it belongs to, and how actively it trades, without opening any extra info panels or websites.
Pine Script® indicator
by CS_VCP
Elliott Wave Multi-Level (Micro/Main)**Title Suggestion:** Elliott Wave Multi-Level Strategy (Micro/Main) **Short Description (for TradingView):** This strategy detects Elliott Waves on two levels — **Micro** (short-term swings) and **Main** (higher-level structures) — and uses them for fully automated long and short trading. Main Impulse waves (1–5) and ABC corrections are identified using pivot logic, ATR-based movement filters, volume confirmation, and an optional EMA trend filter. Micro Impulse waves serve as confirmation for Main structures, creating a multi-level validation system that significantly reduces false signals. Entries are taken either: * **with the trend**, after confirmed Main Impulse waves, or * optionally as **reversal trades** at the completion of ABC corrections. Stop-loss and take-profit levels are dynamically calculated using ATR multipliers, allowing the strategy to adapt to different volatility environments. All parameters (pivots, filters, confirmations, risk settings) are fully customizable to fit various markets and timeframes (e.g., 1m–15m).
Pine Script® indicator
by KnuStrategicTrading
Vinz Win BTC – STRATEGY AUTO 1m🚀 VinzWin BTC Strategy – BTC Scalping AUTO 1 min The VinzWin strategy is based on a simple and highly effective price action pattern: ✅ 2 red candles followed by 1 green candle ✅ Doji filter set to 0 ✅ Trading exclusively on BTC ✅ Session from 12:00 to 12:00 (24/7) ✅ Fixed Risk/Reward at 1:2 ✅ Stop Loss set in fixed € amount ✅ Automatic risk management based on the Stop Loss On every trade: The Stop Loss is defined in fixed euros, The Take Profit is always set at twice the risk, The lot size is automatically adjusted to market conditions, ensuring clean, stable, and fully controlled risk management. 📊 Multi-year backtests are available and show truly outstanding results, with strong consistency and an excellent profit/loss ratio. 👉 A simple, mechanical strategy with no over-optimization, perfectly suited for BTC scalping with fully controlled capital management in euros.
Pine Script® strategy
by Vincent-Aina
Easy Crypto Signal FREE🆓 FREE Bitcoin & Crypto Trading Indicator Easy Crypto Signal FREE helps you make better trading decisions with real-time BUY/SELL signals based on multiple technical indicators. ✅ What you get in FREE version: • Real-time BUY/SELL signals (green/red arrows) • Trading SCORE (0-100%) - market strength indicator • Works on BTC, ETH, and all major altcoins • Optimized for 4h timeframe (works on all timeframes) • Simple visual interface • Basic alert system 📊 How it works: The indicator combines RSI, MACD, EMA trends, and volume analysis to generate a composite SCORE (0-100%). • SCORE > 65% = BUY signal 🟢 • SCORE < 35% = SELL signal 🔴 • SCORE 35-65% = WAIT (neutral zone) 🟡 ⚠️ FREE Version Limitations: • No detailed RSI values • No MACD trend details • No trend strength indicators • Fixed sensitivity (65%) • Limited customization 💎 Want the FULL PRO version? 🚀 PRO includes: • Full RSI + MACD + Trend analysis displayed • Customizable sensitivity (40-80%) • Advanced alert customization • Professional clean interface • Volume strength indicator • NO watermarks • Premium support 📊 Proven Backtest Results: • 57.1% Win Rate • 3.36 Profit Factor (Excellent) • +9.55% return in 3 months • Only -2.69% Max Drawdown (Low Risk) 🔗 Get PRO version: 📈 Best practices: 1. Use on 4h timeframe for best results 2. Combine with your own analysis 3. Always set Stop Loss (5-10%) 4. Test on demo account first 5. Don't trade based on signals alone ⚠️ Risk Disclaimer: Cryptocurrency trading involves substantial risk. This indicator is for educational purposes only and does not guarantee profits. Past performance does not indicate future results. Always do your own research and never invest more than you can afford to lose. 📧 Questions or Feedback? Comment below or message me directly! 🌟 If you find this helpful, please give it a like and share! v1.0 - Initial FREE release • Basic BUY/SELL signal system • Score indicator 0-100% • Optimized for 4h timeframe • Works on all crypto pairs
Pine Script® indicator
by Golkar22
1
Keltner Hull Suite [QuantAlgo]🟢 Overview The Keltner Hull Suite combines Hull Moving Average positioning with double-smoothed True Range banding to identify trend regimes and filter market noise. The indicator establishes upper and lower volatility bounds around the Hull MA, with the trend line conditionally updating only when price violates these boundaries. This mechanism distinguishes between genuine directional shifts and temporary price fluctuations, providing traders and investors with a systematic framework for trend identification that adapts to changing volatility conditions across multiple timeframes and asset classes. 🟢 How It Works The calculation foundation begins with the Hull Moving Average, a weighted moving average designed to minimize lag while maintaining smoothness: hullMA = ta.hma(priceSource, hullPeriod) The indicator then calculates true range and applies dual exponential smoothing to create a volatility measure that responds more quickly to volatility changes than traditional ATR implementations while maintaining stability through the double-smoothing process: tr = ta.tr(true) smoothTR = ta.ema(tr, keltnerPeriod) doubleSmooth = ta.ema(smoothTR, keltnerPeriod) deviation = doubleSmooth * keltnerMultiplier Dynamic support and resistance boundaries are constructed by applying the multiplier-scaled volatility deviation to the Hull MA, creating upper and lower bounds that expand during volatile periods and contract during consolidation: upperBound = hullMA + deviation lowerBound = hullMA - deviation The trend line employs a conditional update mechanism that prevents premature trend reversals. The system maintains the current trend line until price action violates the respective boundary, at which point the trend line snaps to the violated bound: if upperBound < trendLine trendLine := upperBound if lowerBound > trendLine trendLine := lowerBound Directional bias determination compares the current trend line value against its previous value, establishing bullish conditions when rising and bearish conditions when falling. Signal generation occurs on state transitions, triggering alerts when the trend state shifts from neutral or opposite direction: trendUp = trendLine > trendLine trendDown = trendLine < trendLine longSignal = trendState == 1 and trendState != 1 shortSignal = trendState == -1 and trendState != -1 The visualization layer creates a trend band by plotting both the current trend line and a two-bar shifted version, with the area between them filled to create a visual channel that reinforces directional conviction. 🟢 How to Use This Indicator ▶ Long and Short Signals: The indicator generates long/buy signals when the trend state transitions to bullish (trend line begins rising) and short/sell signals when transitioning to bearish (trend line begins falling). These state changes represent structural shifts in momentum where price has broken through the adaptive volatility bands, confirming directional commitment. ▶ Trend Band Dynamics: The spacing between the main trend line and its shifted counterpart creates a visual band whose width reflects trend strength and momentum consistency. Expanding bands indicate accelerating directional movement and strong trend persistence, while contracting or flattening bands suggest decelerating momentum, potential trend exhaustion, or impending consolidation. Monitoring band width provides early warning of regime transitions from trending to range-bound conditions. ▶ Preconfigured Presets: Three optimized parameter sets accommodate different trading styles and timeframes. Default (14, 20, 2.0) provides balanced trend identification suitable for daily charts and swing trading, Fast Response (10, 14, 1.5) delivers aggressive signal generation optimized for intraday scalping and momentum trading on 1-15 minute timeframes, while Smooth Trend (18, 30, 2.5) offers conservative trend confirmation ideal for position trading on 4-hour to daily charts with enhanced noise filtration. ▶ Built-in Alerts: Three alert conditions enable automated monitoring - Bullish Trend Signal triggers on long setup confirmation, Bearish Trend Signal activates on short setup confirmation, and Trend Change alerts on any directional transition. These notifications allow you to respond to regime shifts without continuous chart monitoring. ▶ Color Customization: Five visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and display preferences, ensuring optimal contrast and visual clarity across trading environments.
Pine Script® indicator
by QuantAlgo
7
NIFTY Weekly Option Seller DirectionalHere’s a straight description you can paste into the TradingView “Description” box and tweak if needed: --- ### NIFTY Weekly Option Seller – Regime + Score + Management (Single TF) This indicator is built for **weekly option sellers** (primarily NIFTY) who want a **structured regime + scoring framework** to decide: * Whether to trade **Iron Condor (IC)**, **Put Credit Spread (PCS)** or **Call Credit Spread (CCS)** * How strong that regime is on the current timeframe (score 0–5) * When to **DEFEND** existing positions and when to **HARVEST** profits > **Note:** This is a **single timeframe** tool. The original system uses it on **4H and 1D separately**, then combines scores manually (e.g., using `min(4H, 1D)` for conviction and lot sizing). --- ## Core logic The script classifies the market into 3 regimes: * **IC (Iron Condor)** – range/mean-reversion conditions * **PCS (Put Credit Spread)** – bullish/trend-up conditions * **CCS (Call Credit Spread)** – bearish/trend-down conditions For each regime, it builds a **0–5 score** using: * **EMA stack (8/13/34)** – trend structure * **ADX (custom DMI-based)** – trend strength vs range * **Previous-day CPR** – in CPR vs break above/below * **VWAP (session)** – near/far value * **Camarilla H3/L3** – for IC context * **RSI (14)** – used as a **brake**, not a primary signal * **Daily trend / Daily ADX** – used as **hard gates**, not double-counted as extra points Then: * Scores for PCS / CCS / IC are **cross-penalised** (they pull each other down if conflicting) * Final scores are **smoothed** (current + previous bar) to avoid jumpy signals The **background colour** shows the current regime and conviction: * Blue = IC * Green = PCS * Red = CCS * Stronger tint = higher regime score --- ## Scoring details (per timeframe) **PCS (uptrend, bullish credit spreads)** * +2 if EMA(8) > EMA(13) > EMA(34) * +1 if ADX > ADX_TREND * +1 if close > CPR High * +1 if close > VWAP * RSI brake: * If RSI < 50 → PCS capped at 2 * If RSI > 75 → PCS capped at 3 * Daily gating: * If daily EMA stack is **not** uptrend → PCS capped at 2 **CCS (downtrend, bearish credit spreads)** * +2 if EMA(8) < EMA(13) < EMA(34) * +1 if ADX > ADX_TREND * +1 if close < CPR Low * +1 if close < VWAP * RSI brake: * If RSI > 50 → CCS capped at 2 * If RSI < 25 → CCS capped at 3 * Daily gating: * If daily EMA stack is **not** downtrend → CCS capped at 2 **IC (range / mean-reversion)** * +2 if ADX < ADX_RANGE (low trend) * +1 if close inside CPR * +1 if near VWAP * +0.5 if inside Camarilla H3–L3 * +1 if daily ADX < ADX_RANGE (daily also range-like) * +0.5 if RSI between 45 and 55 (classic balance zone) * Daily gating: * If daily ADX ≥ ADX_TREND → IC capped at 2 (no “strong IC” in strong trends) **Cross-penalty & smoothing** * Each regime’s raw score is reduced by **0.5 × max(other two scores)** * Final IC / PCS / CCS scores are then **smoothed** with previous bar * Scores are always clipped to ** ** --- ## Regime selection * If one regime has the highest score → that regime is selected. * If there is a tie or close scores: * When ADX is high, trend regimes (PCS/CCS) are preferred in the direction of the EMA stack. * When ADX is low, IC is preferred. The selected regime’s score is used for: * Background colour intensity * Minimum score gate for alerts * Display in the info panel --- ## DEFEND / HARVEST / REGIME alerts The script also defines **management signals** using ATR-based buffers and Camarilla breaks: * **DEFEND** * Price moving too close to short strikes (PCS/CCS/IC) relative to ATR, or * Trend breaks through Camarilla with ADX strong → Suggests rolling away / widening / converting to reduce risk. * **HARVEST** * Price has moved far enough from your short strikes (in ATR multiples) and market is still range-compatible → Suggests booking profits / rolling closer / reducing risk. * **REGIME CHANGED** * Regime flips (IC ↔ PCS/CCS) with cooldown and minimum score gate → Suggests switching playbook (range vs trend) for new entries. Each of these has a plotshape label plus an `alertcondition()` for TradingView alerts. --- ## UI / Panel The **top-right panel** (optional) shows: * Strategy + final regime score (IC / PCS / CCS, x/5) * ADX / RSI values * CPR status (Narrow / Normal / Wide + %) * EMA Stack (Up / Down / Mixed) and EMA tightness * VWAP proximity (Near / Away) * Final **IC / PCS / CCS** scores (for this timeframe) * H3/L3, H4/L4, CPR Low/High and VWAP levels (rounded) These values are meant to be **read quickly at the decision time** (e.g. near the close of the 4H bar or daily bar). --- ## Intended workflow 1. Run the script on **4H** and **1D** charts separately. 2. For each timeframe, read the panel’s **IC / PCS / CCS scores** and regime. 3. Decide: * Final regime (IC vs PCS vs CCS) * Combined score (e.g. `AlignScore = min(Score_4H, Score_1D)`) 4. Map that combined score to **your own lot-size buckets** and trade rules. 5. During the life of the position, use **DEFEND / HARVEST / REGIME** alerts to adjust. The script does **not** auto-calculate lot size or P&L. It focuses on giving a structured, consistent **market regime + strength + levels + management** layer for weekly option selling. --- ## Disclaimer This is a discretionary **decision-support tool**, not a guarantee of profit or a replacement for risk management. No performance is implied or promised. Always size positions and manage risk according to your own capital, rules, and regulations.
Pine Script® indicator
by distinctSeahor20287
IBIT premium（vs NAV）This Pine Script calculates and plots the real-time trading premium or discount of the IBIT ETF relative to its official Net Asset Value (NAV). It shows whether IBIT is trading above NAV (premium) or below NAV (discount) in percentage terms. This version is accurate because it uses TradingView’s built-in ETF NAV financial data, rather than estimating BTC per share. ⸻ Key Data Sources Used • Market Price: The script pulls the live IBIT market price from NASDAQ:IBIT. • Official NAV: It retrieves the daily Net Asset Value (NAV) using TradingView’s financial data function and expands it across all intraday timeframes so it can be compared with real-time prices. • Platform used: TradingView ⸻ How the Premium Is Calculated The script uses the standard ETF premium formula: \text{Premium (\%)} = \frac{\text{Market Price} - \text{NAV}}{\text{NAV}} \times 100 • Positive value → IBIT is trading at a premium • Negative value → IBIT is trading at a discount • Zero → IBIT is trading exactly at NAV ⸻ What the Chart Displays • A real-time premium (%) line in a separate indicator panel • A 0% reference line showing fair value • ±1% and ±2% guide lines for abnormal deviation detection • A live value label on the latest bar showing the exact current premium ⸻ Why This Script Is Accurate • Uses official ETF NAV, not a BTC-per-share estimate • NAV updates once per day, exactly as reported by the issuer • Works on all timeframes (1-minute to daily) • Shows true market mispricing, not synthetic BTC tracking error ⸻ How Traders Typically Use It • Detect temporary dislocations between IBIT price and NAV • Monitor liquidity stress during high volatility • Validate whether IBIT is trading efficiently versus BTC • Support ETF–BTC–Futures arbitrage analysis ⸻ Important Limitation • NAV is only updated once per trading day • During fast BTC moves, the premium may widen temporarily and normalize later via authorized participant (AP) arbitrage
Pine Script® indicator
by luzehuayali