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Indicadores e estratégias

Pair Cointegration & Static Beta Analyzer (v6)Pair Cointegration & Static Beta Analyzer (v6) This indicator evaluates whether two instruments exhibit statistical properties consistent with cointegration and tradable mean reversion. It uses long-term beta estimation, spread standardization, AR(1) dynamics, drift stability, tail distribution analysis, and a multi-factor scoring model. 1. Static Beta and Spread Construction A long-horizon static beta is estimated using covariance and variance of log-returns. This beta does not update on every bar and is used throughout the entire model. Beta = Cov(r1, r2) / Var(r2) Spread = PriceA - Beta * PriceB This “frozen” beta provides structural stability and avoids rolling noise in spread construction. 2. Correlation Check Log-price correlation ensures the instruments move together over time. Correlation ≥ 0.85 is required before deeper cointegration diagnostics are considered meaningful. 3. Z-Score Normalization and Distribution Behavior The spread is standardized: Z = (Spread - MA(Spread)) / Std(Spread) The following statistical properties are examined: Z-Mean: Should be close to zero in a stationary process Z-Variance: Measures amplitude of deviations Tail Probability: Frequency of |Z| being larger than a threshold (e.g. 2) These metrics reveal whether the spread behaves like a mean-reverting equilibrium. 4. Mean Drift Stability A rolling mean of the spread is examined. If the rolling mean drifts excessively, the spread may not represent a stable long-term equilibrium. A normalized drift ratio is used: Mean Drift Ratio = Range( RollingMean(Spread) ) / Std(Spread) Low drift indicates stable long-run equilibrium behavior. 5. AR(1) Dynamics and Half-Life An AR(1) model approximates mean reversion: Spread(t) = Phi * Spread(t-1) + error Mean reversion requires: 0 < Phi < 1 Half-life of reversion: Half-life = -ln(2) / ln(Phi) Valid half-life for 10-minute bars typically falls between 3 and 80 bars. 6. Composite Scoring Model (0–100) A multi-factor weighted scoring system is applied: Component Score Correlation 0–20 Z-Mean 0–15 Z-Variance 0–10 Tail Probability 0–10 Mean Drift 0–15 AR(1) Phi 0–15 Half-Life 0–15 Score interpretation: 70–100: Strong Cointegration Quality 40–70: Moderate 0–40: Weak A pair is classified as cointegrated when: Total Score ≥ Threshold (default = 70) 7. Main Cointegration Panel Displays: Static beta Log-price correlation Z-Mean, Z-Variance, Tail Probability Drift Ratio AR(1) Phi and Half-life Composite score Overall cointegration assessment 8. Beta Hedge Position Sizing (Average-Price Based) To provide a more stable hedge ratio, hedge sizing is computed using average prices, not instantaneous prices: AvgPriceA = SMA(PriceA, N) AvgPriceB = SMA(PriceB, N) Required B per 1 A = Beta * (AvgPriceA / AvgPriceB) Using averaged prices results in a smoother, more reliable hedge ratio, reducing noise from bar-to-bar volatility. The panel displays: Required B security for 1 A security (average) This represents the beta-neutral quantity of B required to hedge one unit of A. Overview of Classical Stationarity & Cointegration Methods The principal econometric tools commonly used in assessing stationarity and cointegration include: Augmented Dickey–Fuller (ADF) Test Phillips–Perron (PP) Test KPSS Test Engle–Granger Cointegration Test Phillips–Ouliaris Cointegration Test Johansen Cointegration Test Since these procedures rely on regression residuals, matrix operations, and distribution-based critical values that are not supported in TradingView Pine Script, a practical multi-criteria scoring approach is employed instead. This framework leverages metrics that are fully computable in Pine and offers an operational proxy for evaluating cointegration-like behavior under platform constraints. References Engle & Granger (1987), Co-integration and Error Correction Poterba & Summers (1988), Mean Reversion in Stock Prices Vidyamurthy (2004), Pairs Trading Explanation structured with assistance from OpenAI’s ChatGPT Regards.
Indicador Pine Script®
por Noldo
3 Fib Strategy – Automatic Trend Fib Extension ConfluenceWhat This Script Does ✔ Auto-detects swing highs and lows Using pivot detection, adjustable by the user. ✔ Builds 3 independent trend-based Fib extension projections Measures: Wave 1 → Wave 2 → Wave 3 Wave 2 → Wave 3 → Wave 4 Wave 3 → Wave 4 → Wave 5 ✔ Calculates the exact fib levels: 1.0 (1:1 extension) 1.236 extension 1.382 extension ✔ Detects confluence zones When all 3 fib measurement sets overlap at the same target: Green label = 1:1 confluence Orange label = 1.236–1.382 confluence ✔ Draws long dotted lines across the chart So you can visually track confluence zones.
Indicador Pine Script®
por ApedinCrypto
FVG – (auto close + age) GR V1.0FVG – Fair Value Gaps (auto close + age counter) Short Description Automatically detects Fair Value Gaps (FVGs) on the current timeframe, keeps them open until price fully fills the gap or a maximum bar age is reached, and shows how many candles have passed since each FVG was created. Full Description This indicator automatically finds and visualizes Fair Value Gaps (FVGs) using the classic 3-candle ICT logic on any timeframe. It works on whatever timeframe you apply it to (M1, M5, H1, H4, etc.) and adapts to the current chart. FVG detection logic The script uses a 3-candle pattern: Bullish FVG Condition: low > high Gap zone: Lower boundary: high Upper boundary: low Bearish FVG Condition: high < low Gap zone: Lower boundary: high Upper boundary: low Each detected FVG is drawn as a colored box (green for bullish, red for bearish in this version, but you can adjust colors in the inputs). Auto-close rules An FVG remains on the chart until one of the following happens: Full fill / mitigation A bullish FVG closes when any candle’s low goes down to or below the lower boundary of the gap. A bearish FVG closes when any candle’s high goes up to or above the upper boundary of the gap. Maximum bar age reached Each FVG has a maximum lifetime measured in candles. When the number of candles since its creation reaches the configured maximum (default: 200 bars), the FVG is automatically removed even if it has not been fully filled. This keeps the chart cleaner and prevents very old gaps from cluttering the view. Age counter (labels inside the boxes) Inside every FVG box there is a small label that: Shows how many bars have passed since the FVG was created. Moves together with the right edge of the box and stays vertically centered in the gap. This makes it easy to distinguish fresh gaps from older ones and prioritize which zones you want to pay attention to. Inputs FVG color – Main fill color for all FVG boxes. Show bullish FVGs – Turn bullish gaps on/off. Show bearish FVGs – Turn bearish gaps on/off. Max bar age – Maximum number of candles an FVG is allowed to stay on the chart before it is removed. Usage Works on any symbol and any timeframe. Can be combined with your own ICT / SMC concepts, order blocks, session ranges, market structure, etc. You can also choose to only display bullish or only bearish FVGs depending on your directional bias. Disclaimer This script is for educational and informational purposes only and is not financial advice. Always do your own research and use proper risk management when trading.
Indicador Pine Script®
por GRIDFX
ICT Macro Slot Algo Event📊 Overview A powerful multi-timeframe trading indicator that combines Institutional Macro Session Tracking to identify optimal trading windows throughout the day. This tool helps traders align with institutional flow patterns and algorithmic activity across major sessions. 🎯 Key Features 1. Macro Algo Event Sessions Tracks 6 key institutional time windows during NY Session: NY Sweep (08:50-09:10) - Opening balance flows Silver Bullet #1 (09:50-10:10) - First major macro move Silver Bullet #2 (10:50-11:10) - Second chance/retest opportunity Lunch Macro (11:50-12:10) - Mid-day repositioning Post-Lunch Rebalance (13:10-13:40) - Post-lunch adjustments NY Closing Macros (15:15-15:45) - End-of-day flows
Indicador Pine Script®
por viveksadokj1uli
1
Chop Meter + Trade Filter 1H/30M/15M (Ace PROFILE CLEAN v2)What this indicator does Name: Chop Meter + Trade Filter 1H/30M/15M (Ace PROFILE CLEAN v2) This is not an entry signal indicator. It’s a market condition filter: It checks how compressed or expanded price is on 1H, 30M, and 15M. It labels each TF as CHOP or NORMAL. If 2 or more of those are in CHOP, it prints NO TRADE. If 0 or 1 are in CHOP, it prints TRADE. You use it to answer one question: “Is this a session I should be pushing the button, or is this a day to sit on my hands?” How it works (simple version) For each timeframe (1H, 30M, 15M), the script: Looks back N bars (ATR length). Measures: ATR over N bars Price range over N bars (highest high − lowest low) Computes a compression value: compression = ATR / range. Then it compares that to the Threshold: If compression > threshold → CHOP (market boxed / compressed) If compression ≤ threshold → NORMAL (market expanded / trending) Finally: It counts how many TFs are CHOP. If 2 or 3 TFs are CHOP → NO TRADE. If 0 or 1 TFs are CHOP → TRADE. Inputs / Profiles At the top you see: Profile Overnight 4/0.40 – for Asia / London / overnight sessions NYO 5/0.45 – for New York Open profile (default) Custom – lets you type your own values When Custom is selected, you can set: ATR Length (Custom) – how many bars to use in the compression calc Chop Threshold (ATR ÷ Range) (Custom) – where you cut between CHOP vs NORMAL Higher threshold → more bars counted as NORMAL, less CHOP Lower threshold → more bars counted as CHOP, fewer TRADE environments For NYO, you normally keep: Profile = NYO 5/0.45 (ATR over 5 bars, threshold 0.45) What you see on the chart A single line panel at the bottom-right, like: 1H: NORMAL | 30M: CHOP | 15M: NORMAL | TRADE | NYO 5/0.45 Meaning: 1H: NORMAL → the last 1H window is expanded enough (not boxed). 30M: CHOP → 30M is compressed (inside a tighter range). 15M: NORMAL → 15M has opened up. TRADE → Only 1 TF is CHOP, so the majority says OK to trade. NYO 5/0.45 → just a tag to remind which profile you’re using. If instead you see: 1H: CHOP | 30M: CHOP | 15M: NORMAL | NO TRADE | NYO 5/0.45 That means: 1H and 30M are boxed 15M opened a bit, but 2 TFs are CHOP Final verdict: NO TRADE environment How to use it in your trading 1. As a gatekeeper before any entry model No matter what entry you use (MSS + FVG, OB, purge setups, etc.): If the panel says NO TRADE → You do not open new positions. You’re in “observe only” mode. You can still study price, mark levels, and journal, but you’re not pressing the button. If the panel says TRADE → The environment is acceptable. Now you can look for your entry model (e.g. MSS + FVG retest, SMT, OB, etc.). Think of it as your first filter every session: “Panel says NO TRADE? I don’t care how good the candle looks – I’m waiting.” 2. Reading each timeframe 1H: CHOP → Day is still boxed on the higher frame; big expansion hasn’t kicked in. 30M: CHOP → Classic 30M dealing range; many fake breaks and wicks likely. 15M: CHOP → Intraday still coiling; scalping environment at best. When 2 or 3 say CHOP, expect: Whipsaw MSS both ways Failed FVGs News spikes that die in the box Perfect time to protect your psychology and capital. When 2 or 3 say NORMAL, expect: Cleaner swings Better follow-through after MSS / FVG Easier to hold for targets 3. How it pairs with your MSS/FVG indicator With your Chop + MSS/FVG Retest indicator: Chop meter = environment filter MSS/FVG indicator = entry trigger Your process becomes: Check chop meter: If NO TRADE → hands off. If TRADE → go to step 2. On your chart, wait for: Purge / SMT at the edges MSS in the right direction FVG + retest Only take L/S when both: Chop meter = TRADE, and Entry model = L/S signal in the right area (premium/discount). That way, you’re not just trading every L/S the MSS script spits out—you’re trading L/S only when the higher-timeframe environment is worth it.
Indicador Pine Script®
por TIMEANDPRICEPR
Average Volume//@version=5 indicator("Average Daily Volume", overlay=false) // --- Inputs lookback = input.int(20, "Lookback Period (Days)", minval=1) // --- Convert chart timeframe to daily volume // If you’re on intraday, TradingView aggregates intraday bars belonging to a single day is_new_day = ta.change(time("D")) != 0 daily_volume = ta.valuewhen(is_new_day, volume, 0) // --- Average daily volume avg_daily_volume = ta.sma(daily_volume, lookback) // --- Plot plot(avg_daily_volume, title="Avg Daily Volume", color=color.new(color.blue, 0))
Indicador Pine Script®
por tryingtoswingtrade
SMC BOS/CHoCH + Auto Fib (5m/any TF) durane//@version=6 indicator('SMC BOS/CHoCH + Auto Fib (5m/any TF)', overlay = true, max_lines_count = 200, max_labels_count = 200) // --------- Inputs ---------- left = input.int(3, 'Pivot Left', minval = 1) right = input.int(3, 'Pivot Right', minval = 1) minSwingSize = input.float(0.0, 'Min swing size (price units, 0 = disabled)', step = 0.1) fib_levels = input.string('0.0,0.236,0.382,0.5,0.618,0.786,1.0', 'Fibonacci levels (comma separated)') show_labels = input.bool(true, 'Show BOS/CHoCH labels') lookbackHighLow = input.int(200, 'Lookback for structure (bars)') // Parse fib levels strs = str.split(fib_levels, ',') var array fibs = array.new_float() if barstate.isfirst for s in strs array.push(fibs, str.tonumber(str.trim(s))) // --------- Find pivot highs / lows ---------- pHigh = ta.pivothigh(high, left, right) pLow = ta.pivotlow(low, left, right) // store last confirmed swings var float lastSwingHighPrice = na var int lastSwingHighBar = na var float lastSwingLowPrice = na var int lastSwingLowBar = na if not na(pHigh) // check min size if minSwingSize == 0 or pHigh - nz(lastSwingLowPrice, pHigh) >= minSwingSize lastSwingHighPrice := pHigh lastSwingHighBar := bar_index - right lastSwingHighBar if not na(pLow) if minSwingSize == 0 or nz(lastSwingHighPrice, pLow) - pLow >= minSwingSize lastSwingLowPrice := pLow lastSwingLowBar := bar_index - right lastSwingLowBar // --------- Detect BOS & CHoCH (simple robust logic) ---------- var int lastBOSdir = 0 // 1 = bullish BOS (price broke above), -1 = bearish BOS var int lastBOSbar = na var float lastBOSprice = na // Look for price closes beyond last structural swings within lookback // Bullish BOS: close > recent swing high condBullBOS = not na(lastSwingHighPrice) and close > lastSwingHighPrice and bar_index - lastSwingHighBar <= lookbackHighLow // Bearish BOS: close < recent swing low condBearBOS = not na(lastSwingLowPrice) and close < lastSwingLowPrice and bar_index - lastSwingLowBar <= lookbackHighLow bosTriggered = false chochTriggered = false if condBullBOS bosTriggered := true if lastBOSdir != 1 // if previous BOS direction was -1, this is CHoCH (change of character) chochTriggered := lastBOSdir == -1 chochTriggered lastBOSdir := 1 lastBOSbar := bar_index lastBOSprice := close lastBOSprice if condBearBOS bosTriggered := true if lastBOSdir != -1 chochTriggered := lastBOSdir == 1 chochTriggered lastBOSdir := -1 lastBOSbar := bar_index lastBOSprice := close lastBOSprice // --------- Plot labels for BOS / CHoCH ---------- if bosTriggered and show_labels if chochTriggered label.new(bar_index, high, text = lastBOSdir == 1 ? 'CHoCH ↑' : 'CHoCH ↓', style = label.style_label_up, color = color.new(color.orange, 0), textcolor = color.white, yloc = yloc.abovebar) else label.new(bar_index, high, text = lastBOSdir == 1 ? 'BOS ↑' : 'BOS ↓', style = label.style_label_left, color = lastBOSdir == 1 ? color.green : color.red, textcolor = color.white, yloc = yloc.abovebar) // --------- Auto Fibonacci drawing ---------- var array fib_lines = array.new_line() var array fib_labels = array.new_label() var int lastFibId = na // Function to clear previous fibs f_clear() => if array.size(fib_lines) > 0 for i = 0 to array.size(fib_lines) - 1 line.delete(array.get(fib_lines, i)) if array.size(fib_labels) > 0 for i = 0 to array.size(fib_labels) - 1 label.delete(array.get(fib_labels, i)) array.clear(fib_lines) array.clear(fib_labels) // Decide anchors for fib: if lastBOSdir==1 (bullish) anchor from lastSwingLow -> lastSwingHigh // if lastBOSdir==-1 (bearish) anchor from lastSwingHigh -> lastSwingLow if lastBOSdir == 1 and not na(lastSwingLowPrice) and not na(lastSwingHighPrice) // bullish fib: low -> high startPrice = lastSwingLowPrice endPrice = lastSwingHighPrice // draw f_clear() for i = 0 to array.size(fibs) - 1 by 1 lvl = array.get(fibs, i) priceLevel = startPrice + (endPrice - startPrice) * lvl ln = line.new(x1 = lastSwingLowBar, y1 = priceLevel, x2 = bar_index, y2 = priceLevel, xloc = xloc.bar_index, extend = extend.right, color = color.new(color.green, 60), width = 1, style = line.style_solid) array.push(fib_lines, ln) lab = label.new(bar_index, priceLevel, text = str.tostring(lvl * 100, '#.0') + '%', style = label.style_label_right, color = color.new(color.green, 80), textcolor = color.white, yloc = yloc.price) array.push(fib_labels, lab) if lastBOSdir == -1 and not na(lastSwingHighPrice) and not na(lastSwingLowPrice) // bearish fib: high -> low startPrice = lastSwingHighPrice endPrice = lastSwingLowPrice f_clear() for i = 0 to array.size(fibs) - 1 by 1 lvl = array.get(fibs, i) priceLevel = startPrice + (endPrice - startPrice) * lvl ln = line.new(x1 = lastSwingHighBar, y1 = priceLevel, x2 = bar_index, y2 = priceLevel, xloc = xloc.bar_index, extend = extend.right, color = color.new(color.red, 60), width = 1, style = line.style_solid) array.push(fib_lines, ln) lab = label.new(bar_index, priceLevel, text = str.tostring(lvl * 100, '#.0') + '%', style = label.style_label_right, color = color.new(color.red, 80), textcolor = color.white, yloc = yloc.price) array.push(fib_labels, lab) // --------- Optional: plot lastSwing points ---------- plotshape(not na(lastSwingHighPrice) ? lastSwingHighPrice : na, title = 'LastSwingHigh', location = location.absolute, style = shape.triangledown, size = size.tiny, color = color.red, offset = 0) plotshape(not na(lastSwingLowPrice) ? lastSwingLowPrice : na, title = 'LastSwingLow', location = location.absolute, style = shape.triangleup, size = size.tiny, color = color.green, offset = 0) // --------- Alerts ---------- alertcondition(bosTriggered and lastBOSdir == 1, title = 'Bullish BOS', message = 'Bullish BOS detected on {{ticker}} @ {{close}}') alertcondition(bosTriggered and lastBOSdir == -1, title = 'Bearish BOS', message = 'Bearish BOS detected on {{ticker}} @ {{close}}') alertcondition(chochTriggered, title = 'CHoCH Detected', message = 'CHoCH detected on {{ticker}} @ {{close}}') // End
Indicador Pine Script®
por durane
ICT Macro Slot Algo Event📊 Overview A powerful multi-timeframe trading indicator that combines Institutional Macro Session Tracking identify optimal trading windows throughout the day. This tool helps traders align with institutional flow patterns and algorithmic activity across major sessions. 🎯 Key Features 1. Macro Algo Event Sessions Tracks 6 key institutional time windows during NY Session: NY Sweep (08:50-09:10) - Opening balance flows Silver Bullet #1 (09:50-10:10) - First major macro move Silver Bullet #2 (10:50-11:10) - Second chance/retest opportunity Lunch Macro (11:50-12:10) - Mid-day repositioning Post-Lunch Rebalance (13:10-13:40) - Post-lunch adjustments NY Closing Macros (15:15-15:45) - End-of-day flows
Indicador Pine Script®
por viveksadokj1uli
Coinbase Premium Index (Custom Tickers)📊 Coinbase Premium Index (Auto Symbol Support) 1. Overview The Coinbase Premium Index is a widely used indicator to gauge the sentiment difference between US institutional investors (Coinbase Pro) and global retail/futures traders (Binance). This script calculates the percentage difference between the Coinbase (USD pair) price and the Binance (USDT pair) price. 2. Key Features 🔄 Auto Symbol Matching (New): You no longer need to manually change tickers when switching charts. If you are looking at a SOL/USDT chart, the indicator automatically detects "SOL" and compares COINBASE:SOLUSD vs BINANCE:SOLUSDT. 🛠 Manual Mode: Includes a manual override option if you wish to compare specific fixed tickers (e.g., strictly BTC). 🎨 Dynamic Visuals: Histogram: Color-coded bars (Green/Red) indicate positive or negative premiums. Smart Label: Displays the real-time premium value on the chart. The label color adapts to the trend, and hovering over it shows a Tooltip confirming exactly which tickers are being compared. 3. How to Interpret The premium indicates the flow of funds and buying pressure: 🟢 Positive Premium (Green Bar): Coinbase Price > Binance Price Interpretation: Strong buying pressure from US institutions or spot whales. Often considered a Bullish signal. 🔴 Negative Premium (Red Bar): Coinbase Price < Binance Price Interpretation: Strong selling from US investors, or overheated buying in the offshore futures market (Binance). Often considered a Bearish or mean-reversion signal. 4. Settings Guide Ticker Mode: Auto (Current Chart): Automatically sets the comparison based on your current chart's base currency (Recommended). Manual (Custom): Uses the specific tickers defined in the manual input fields below. Manual Inputs: Enter tickers here if using Manual Mode (Default: COINBASE:BTCUSD vs BINANCE:BTCUSDT). Bar & Label Settings: Customize colors, transparency, and the vertical position (Y-Offset) of the data label to fit your chart layout.
Indicador Pine Script®
por BIGTAKER
Systemic Net Liquidity (Macro Fuel for Crypto & Stocks)This indicator tracks Systemic Net Liquidity, the single most important macro factor for determining the long-term trend of risk assets like Bitcoin (BTC) and major indices (S&P 500). It measures the amount of actual cash available in the financial system to chase speculative assets, distinguishing between money that is circulating and money that is locked up at the Federal Reserve. ​Mechanism (What It Measures) ​The script uses direct data from the FRED (Federal Reserve Economic Data) to calculate the true state of market funding: \text{Net Liquidity} = \text{Fed Assets (WALCL)} - \text{Treasury General Account (TGA)} - \text{Reverse Repo (RRP)} 1. Fed Assets (WALCL): The total balance sheet of the Fed (The overall supply of money). ​2. Treasury General Account (TGA): Funds the US Treasury collects via bond issuance. When the TGA rises, liquidity is actively drained from the banking system (A major bearish pressure). ​3. Overnight Reverse Repo (RRP): Cash parked by banks and money market funds at the Fed, effectively frozen and not contributing to market activity. ​How to Interpret Signals ​Treat the Net Liquidity line as the market's "Fuel Gauge": ​📈 BULLISH SIGNAL (Liquidity Injection): When the Net Liquidity line is rising, money is flowing back into the system, signalling a tailwind for risk assets. ​📉 BEARISH SIGNAL (Liquidity Drain): When the line is falling (often due to high TGA balances), cash is being removed. This signals major friction and pressure on price action. ​⚠️ DIVERGENCE WARNING: A strong signal is generated when Price (e.g., BTC) rises, but Net Liquidity falls. This macro divergence strongly suggests a major trend reversal or correction is imminent. ​Important Notes ​Data Source: Data is directly sourced from FRED and updates daily/weekly. This tool is best used for macro analysis and identifying high-level cycles, not short-term scalping. ​Disclaimer: Use this indicator as a confirmation tool within your broader strategy. It is not a standalone trading signal.
Indicador Pine Script®
por PlanCco
PyraTime™ Lite PyraTime™ Lite Indicator: Precision Time Analysis for Day Trading The PyraTime™ Lite indicator is a free, high-utility Pine Script tool designed to introduce day traders to the power of time and frequency analysis, specifically on high-velocity charts. Built around a unique Great Pyramid/Sacred Sequence pivot methodology, PyraTime™ Lite helps you visualize key temporal harmonics projected from a user-defined Origin Pivot (Golden Anchor). This allows for superior chart context and timing analysis. 📈 Key Features and Benefits (Lite Version) This free version is explicitly configured for the most popular and volatile day-trading timeframes, helping you target short-term moves with precision: ⚡️ Focus on High-Activity Timeframes: The indicator is unlocked and optimized exclusively for the 15-minute and 1-hour charts. This focus ensures clean, relevant data for intra-day and swing trading strategies. 🎯 Identify Precise "Kill Zones": By mapping vertical time bands (up to 22 segments of the sacred sequence) across the chart, PyraTime™ Lite helps you identify high-probability Kill Zones—areas in time where market turning points or reversals are statistically more likely. 🕰️ Time the Market with Precision: Instead of relying solely on price, this indicator gives you a temporal edge, allowing you to anticipate market changes based on the recurring, cyclical nature of time itself. 📚 Educational Foundation: Experience the core functionality of advanced time-based analysis without any cost or obligation, offering a clear path to understanding cyclical trading methodologies. 👑 Unlock the Full Power: PyraTime™ Master The PyraTime™ Lite is a powerful teaser, but it only scratches the surface of this proprietary system. Upgrade to the PyraTime™ Master indicator for complete, unrestricted access to the full power of the PyraTime methodology: 🔓 All Timeframes Unlocked: Gain access to all Standard and Esoteric Timeframes (including 4m, 7m, 11m, 22m, 44m, Daily, and Weekly), essential for multi-timeframe confirmation and deeper analysis. 🌌 Full Sacred Sequence: Unlock the complete 108-line Sacred Sequence, providing full temporal projection into the future for long-term swing trading planning and macro cycle forecasting. 🎨 Full Customization: Unlock all settings, allowing you to fully customize colors, line styles, and all other input parameters. Ready to master market timing? Get PyraTime™ Master Lifetime Access Here: whop.com
Indicador Pine Script®
por PyraTime
1
COT Net Positions OTCCOT Net Positions Indicator Description This is a TradingView Pine Script indicator that displays Commitment of Traders (COT) data for any trading instrument. What it does: Fetches COT Data - Uses the TradingView COT library to retrieve official CFTC (Commodity Futures Trading Commission) data for the current symbol Calculates Net Positions for three trader categories: Commercial (Blue) - Large hedging institutions; represents institutional long/short positioning Non-Commercial (Yellow) - Large speculators and hedge funds; often considered "smart money" Retail (Red) - Small individual traders; often considered contrarian indicators Net Position Calculation - For each category: Takes Long Positions minus Short Positions Plots the result on a separate panel below the price chart Special Symbol Handling - Includes custom mappings for specific commodities: Copper (HG) → CFTC code 085692 Brazilian Real (LBR) → CFTC code 058644 Use Cases: Market Bias Detection - See if institutions are mostly long or short Contrarian Trading - When retail traders are extremely positioned one way, often the market reverses Trend Confirmation - Non-commercial positioning often aligns with established trends Support/Resistance - Extreme COT positions can signal market turning points
Indicador Pine Script®
por dragos_cocos_dev