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Percentile Rank Oscillator (Price + VWMA)A statistical oscillator designed to identify potential market turning points using percentile-based price analytics and volume-weighted confirmation. What is PRO? Percentile Rank Oscillator measures how extreme current price behavior is relative to its own recent history. It calculates a rolling percentile rank of price midpoints and VWMA deviation (volume-weighted price drift). When price reaches historically rare levels – high or low percentiles – it may signal exhaustion and potential reversal conditions. How it works Takes midpoint of each candle ((H+L)/2) Ranks the current value vs previous N bars using rolling percentile rank Maps percentile to a normalized oscillator scale (-1..+1 or 0–100) Optionally evaluates VWMA deviation percentile for volume-confirmed signals Highlights extreme conditions and confluence zones Why percentile rank? Median-based percentiles ignore outliers and read the market statistically – not by fixed thresholds. Instead of guessing “overbought/oversold” values, the indicator adapts to current volatility and structure. Key features Rolling percentile rank of price action Optional VWMA-based percentile confirmation Adaptive, noise-robust structure User-selectable thresholds (default 95/5) Confluence highlighting for price + VWMA extremes Optional smoothing (RMA) Visual extreme zone fills for rapid signal recognition How to use High percentile values –> statistically extreme upward deviation (potential top) Low percentile values –> statistically extreme downward deviation (potential bottom) Price + VWMA confluence strengthens reversal context Best used as part of a broader trading framework (market structure, order flow, etc.) Tip: Look for percentile spikes at key HTF levels, after extended moves, or where liquidity sweeps occur. Strong moves into rare percentile territory may precede mean reversion. Suggested settings Default length: 100 bars Thresholds: 95 / 5 Smoothing: 1–3 (optional) Important note This tool does not predict direction or guarantee outcomes. It provides statistical context for price extremes to help traders frame probability and timing. Always combine with sound risk management and other tools.
Индикатор Pine Script®
от exploretranspose
Multi-Mode Seasonality Map [BackQuant]Multi-Mode Seasonality Map A fast, visual way to expose repeatable calendar patterns in returns, volatility, volume, and range across multiple granularities (Day of Week, Day of Month, Hour of Day, Week of Month). Built for idea generation, regime context, and execution timing. What is “seasonality” in markets? Seasonality refers to statistically repeatable patterns tied to the calendar or clock, rather than to price levels. Examples include specific weekdays tending to be stronger, certain hours showing higher realized volatility, or month-end flow boosting volumes. This tool measures those effects directly on your charted symbol. Why seasonality matters It’s orthogonal alpha: timing edges independent of price structure that can complement trend, mean reversion, or flow-based setups. It frames expectations: when a session typically runs hot or cold, you size and pace risk accordingly. It improves execution: entering during historically favorable windows, avoiding historically noisy windows. It clarifies context: separating normal “calendar noise” from true anomaly helps avoid overreacting to routine moves. How traders use seasonality in practice Timing entries/exits : If Tuesday morning is historically weak for this asset, a mean-reversion buyer may wait for that drift to complete before entering. Sizing & stops : If 13:00–15:00 shows elevated volatility, widen stops or reduce size to maintain constant risk. Session playbooks : Build repeatable routines around the hours/days that consistently drive PnL. Portfolio rotation : Compare seasonal edges across assets to schedule focus and deploy attention where the calendar favors you. Why Day-of-Week (DOW) can be especially helpful Flows cluster by weekday (ETF creations/redemptions, options hedging cadence, futures roll patterns, macro data releases), so DOW often encodes a stable micro-structure signal. Desk behavior and liquidity provision differ by weekday, impacting realized range and slippage. DOW is simple to operationalize: easy rules like “fade Monday afternoon chop” or “press Thursday trend extension” can be tested and enforced. What this indicator does Multi-mode heatmaps : Switch between Day of Week, Day of Month, Hour of Day, Week of Month . Metric selection : Analyze Returns , Volatility ((high-low)/open), Volume (vs 20-bar average), or Range (vs 20-bar average). Confidence intervals : Per cell, compute mean, standard deviation, and a z-based CI at your chosen confidence level. Sample guards : Enforce a minimum sample size so thin data doesn’t mislead. Readable map : Color palettes, value labels, sample size, and an optional legend for fast interpretation. Scoreboard : Optional table highlights best/worst DOW and today’s seasonality with CI and a simple “edge” tag. How it’s calculated (under the hood) Per bar, compute the chosen metric (return, vol, volume %, or range %) over your lookback window. Bucket that metric into the active calendar bin (e.g., Tuesday, the 15th, 10:00 hour, or Week-2 of month). For each bin, accumulate sum , sum of squares , and count , then at render compute mean , std dev , and confidence interval . Color scale normalizes to the observed min/max of eligible bins (those meeting the minimum sample size). How to read the heatmap Color : Greener/warmer typically implies higher mean value for the chosen metric; cooler implies lower. Value label : The center number is the bin’s mean (e.g., average % return for Tuesdays). Confidence bracket : Optional “ ” shows the CI for the mean, helping you gauge stability. n = sample size : More samples = more reliability. Treat small-n bins with skepticism. Suggested workflows Pick the lens : Start with Analysis Type = Returns , Heatmap View = Day of Week , lookback ≈ 252 trading days . Note the best/worst weekdays and their CI width. Sanity-check volatility : Switch to Volatility to see which bins carry the most realized range. Use that to plan stop width and trade pacing. Check liquidity proxy : Flip to Volume , identify thin vs thick windows. Execute risk in thicker windows to reduce slippage. Drill to intraday : Use Hour of Day to reveal opening bursts, lunchtime lulls, and closing ramps. Combine with your main strategy to schedule entries. Calendar nuance : Inspect Week of Month and Day of Month for end-of-month, options-cycle, or data-release effects. Codify rules : Translate stable edges into rules like “no fresh risk during bottom-quartile hours” or “scale entries during top-quartile hours.” Parameter guidance Analysis Period (Days) : 252 for a one-year view. Shorten (100–150) to emphasize the current regime; lengthen (500+) for long-memory effects. Heatmap View : Start with DOW for robustness, then refine with Hour-of-Day for your execution window. Confidence Level : 95% is standard; use 90% if you want wider coverage with fewer false “insufficient data” bins. Min Sample Size : 10–20 helps filter noise. For Hour-of-Day on higher timeframes, consider lowering if your dataset is small. Color Scheme : Choose a palette with good mid-tone contrast (e.g., Red-Green or Viridis) for quick thresholding. Interpreting common patterns Return-positive but low-vol bins : Favorable drift windows for passive adds or tight-stop trend continuation. Return-flat but high-vol bins : Opportunity for mean reversion or breakout scalping, but manage risk accordingly. High-volume bins : Better expected execution quality; schedule size here if slippage matters. Wide CI : Edge is unstable or sample is thin; treat as exploratory until more data accumulates. Best practices Revalidate after regime shifts (new macro cycle, liquidity regime change, major exchange microstructure updates). Use multiple lenses: DOW to find the day, then Hour-of-Day to refine the entry window. Combine with your core setup signals; treat seasonality as a filter or weight, not a standalone trigger. Test across assets/timeframes—edges are instrument-specific and may not transfer 1:1. Limitations & notes History-dependent: short histories or sparse intraday data reduce reliability. Not causal: a hot Tuesday doesn’t guarantee future Tuesday strength; treat as probabilistic bias. Aggregation bias: changing session hours or symbol migrations can distort older samples. CI is z-approximate: good for fast triage, not a substitute for full hypothesis testing. Quick setup Use Returns + Day of Week + 252d to get a clean yearly map of weekday edge. Flip to Hour of Day on intraday charts to schedule precise entries/exits. Keep Show Values and Confidence Intervals on while you calibrate; hide later for a clean visual. The Multi-Mode Seasonality Map helps you convert the calendar from an afterthought into a quantitative edge, surfacing when an asset tends to move, expand, or stay quiet—so you can plan, size, and execute with intent.
Индикатор Pine Script®
от BackQuant
SigmaRevert: Z-Score Adaptive Mean Reversion [KedArc Quant]🔍 Overview SigmaRevert is a clean, research-driven mean-reversion framework built on Z-Score deviation — a statistical measure of how far the current price diverges from its dynamic mean. When price stretches too far from equilibrium (the mean), SigmaRevert identifies the statistical “sigma distance” and seeks reversion trades back toward it. Designed primarily for 5-minute intraday use, SigmaRevert automatically adapts to volatility via ATR-based scaling, optional higher-timeframe trend filters, and cooldown logic for controlled frequency 🧠 What “Sigma” Means Here In statistics, σ (sigma) represents standard deviation, the measure of dispersion or variability. SigmaRevert uses this concept directly: Each bar’s price deviation from the mean is expressed as a Z-Score — the number of sigmas away from the mean. When Z > 1.5, the price is statistically “over-extended”; when it returns toward 0, it reverts to the mean. In short: Sigma = Standard deviation distance SigmaRevert = Trading the reversion of extreme sigma deviations 💡 Why Traders Use SigmaRevert Quant-based clarity: removes emotion by relying on statistical extremes. Volatility-adaptive: automatically adjusts to changing market noise. Low drawdown: filters avoid over-exposure during strong trends. Multi-market ready: works across stocks, indices, and crypto with parameter tuning. Modular design: every component can be toggled without breaking the core logic. 🧩 Why This Is NOT a Mash-Up Unlike “mash-up” scripts that randomly combine indicators, this strategy is built around one cohesive hypothesis: “Price deviations from a statistically stable mean (Z-Score) tend to revert.” Every module — ATR scaling, cooldown, HTF trend gating, exits — reinforces that single hypothesis rather than mixing unrelated systems (like RSI + MACD + EMA). The structure is minimal yet expandable, maintaining research integrity and transparency. ⚙️ Input Configuration (Simplified Table) Core `maLen` 120 Lookback for mean (SMA) `zLen` 60 Window for Z-score deviation `zEntry` 1.5 Entry when Z exceeds threshold `zExit` 0.3 Exit when Z normalizes Filters (optional) `useReCross` false Requires re-entry confirmation `useTrend` false / true Enables HTF SMA bias `htfTF` “60” HTF timeframe (e.g. 60-min) `useATRDist` false Demands min distance from mean `atrK` 1.0 ATR distance multiplier `useCooldown` false / true Forces rest after exit Risk `useATRSL` false / true Adaptive stop-loss via ATR `atrLen` 14 ATR lookback `atrX` 1.4 ATR multiplier for stop Session `useSession` false Restrict to market hours `sess` “0915-1530” NSE timing `skipOpenBars` 0–3 Avoid early volatility UI `showBands` true Displays ±1σ & ±2σ `showMarks` true Shows triggers and exits 🎯 Entry & Exit Logic Long Entry Trigger: `Z < -zEntry` Optional re-cross: prior Z < −zEntry, current Z −zEntry Optional trend bias: current close above HTF SMA Optional ATR filter: distance from mean ATR × K Short Entry Trigger: `Z +zEntry` Optional re-cross: prior Z +zEntry, current Z < +zEntry Optional trend bias: current close below HTF SMA Optional ATR filter: distance from mean ATR × K Exit Conditions Primary exit: `Z < zExit` (price normalized) Time stop: `bars since entry timeStop` Optional ATR stop-loss: ±ATR × multiplier Optional cooldown: no new trade for X bars after exit 🕒 When to Use Intraday (5m) `maLen=120`, `zEntry=1.5`, `zExit=0.3`, `useTrend=false`, `cooldownBars=6` Capture intraday oscillations Minutes → hours Swing (30m–1H) `maLen=200`, `zEntry=1.8`, `zExit=0.4`, `useTrend=true`, `htfTF="D"` Mean-reversion between daily pivots 1–2 days Positional (4H–1D) `maLen=300`, `zEntry=2.0`, `zExit=0.5`, `useTrend=true` Capture multi-day mean reversions Days → weeks 📘 Glossary Z-Score Statistical measure of how far current price deviates from its mean, normalized by standard deviation. Mean Reversion The tendency of price to return to its average after temporary divergence. ATR Average True Range — measures volatility and defines adaptive stop distances. Re-Cross Secondary signal confirming reversal after an extreme. HTF Higher Timeframe — provides macro trend bias (e.g. 1-hour or daily). Cooldown Minimum bars to wait before re-entering after a trade closes. ❓ FAQ Q1: Why are there no trades sometimes? ➡ Check that all filters are off. If still no trades, Z-scores might not breach the thresholds. Lower `zEntry` (1.2–1.4) to increase frequency. Q2: Why does it sometimes fade breakouts? ➡ Mean reversion assumes overextension — disable it during strong trending days or use the HTF filter. Q3: Can I use this for Forex or Crypto? ➡ Yes — but adjust session filters (`useSession=false`) and increase `maLen` for smoother means. Q4: Why is profit factor so high but small overall gain? ➡ Because this script focuses on capital efficiency — low drawdown and steady scaling. Increase position size once stable. Q5: Can I automate this on broker integration? ➡ Yes — the strategy uses standard `strategy.entry` and `strategy.exit` calls, compatible with TradingView webhooks. 🧭 How It Helps Traders This strategy gives: Discipline: no impulsive trades — strict statistical rules. Consistency: removes emotional bias; same logic applies every bar. Scalability: works across instruments and timeframes. Transparency: all signals are derived from visible Z-Score math. It’s ideal for quant-inclined discretionary traders who want rule-based entries but maintain human judgment for context (earnings days, macro news, etc.). 🧱 Final Notes Best used on liquid stocks with continuous price movement. Avoid illiquid or gap-heavy tickers. Validate parameters per instrument — Z behavior differs between equities and indices. Remember: Mean reversion works best in range-bound volatility, not during explosive breakouts. ⚠️ Disclaimer This script is provided for educational purposes only. Past performance does not guarantee future results. Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
Стратегия Pine Script®
от kedarcquant
6
Custom Two Sessions H/L/50% LevelsTrack high/low/midpoint levels across two customizable time sessions. Perfect for monitoring H4 blocks, session ranges, or any custom time periods as reference levels for lower timeframe trading. What This Indicator Does: Tracks and projects High, Low, and 50% Midpoint levels for two fully customizable time sessions. Unlike fixed-session indicators, you define EXACTLY when each session starts and ends. Key Features: • Two independent sessions with custom start/end times (hour and minute) • High/Low/50% midpoint tracking for each session • Visual session boxes showing calculation periods • Horizontal lines projecting levels into the future • Historical session levels remain visible for reference • Works on any chart timeframe (M1, M5, M15, H1, H4, etc.) • Full visual customization (colors, line styles, widths) • DST timezone support Common Use Cases: H4 Candle Tracking - Set sessions to 4-hour blocks (e.g., 6-10am, 10am-2pm) to track individual H4 highs/lows H1 Candle Tracking - 1-hour blocks for scalping reference levels Session Trading - ETH vs RTH, London vs NY, Asian session, etc. Custom Time Periods - Any time range you want to monitor How to Use: The indicator identifies key price levels from higher timeframe periods. Use previous session H/L/50% as reference levels for: Identifying sweep and reclaim setups Lower timeframe structural flip confirmations Support/resistance zones for entries Delivery targets after breaks of structure Settings: Configure each session's start/end times independently. The indicator automatically triggers at the first bar crossing into your specified time, making it compatible with all chart timeframes.
Индикатор Pine Script®
от michaelpharrold
1
💻 RSI Dual-Band Reversal Strategy (Hacker Mode)This 💻 RSI Dual-Band Reversal Strategy (Hacker Mode) is a mean-reversion trading strategy built on the Relative Strength Index (RSI) indicator. It identifies potential trend reversals when price momentum reaches extreme overbought or oversold levels — then enters trades expecting the price to revert. ⚙️ Strategy Concept The RSI measures market momentum on a scale of 0–100. When RSI is too low, it signals an oversold market → potential buy. When RSI is too high, it signals an overbought market → potential sell. This strategy sets two reversal zones using dual RSI bands: Zone RSI Range Meaning Action Upper Band 80–90 Overbought Prepare to Sell Lower Band 10–20 Oversold Prepare to Buy 🧩 Code Breakdown 1. Input Parameters rsiLength = input.int(14) upperBandHigh = input.float(90.0) upperBandLow = input.float(80.0) lowerBandLow = input.float(10.0) lowerBandHigh = input.float(20.0) You can adjust: RSI Length (default 14) → sensitivity of the RSI. Upper/Lower Bands → control when buy/sell triggers occur. 2. RSI Calculation rsi = ta.rsi(close, rsiLength) Calculates the RSI of the closing price over 14 periods. 3. Signal Logic buySignal = ta.crossover(rsi, lowerBandHigh) sellSignal = ta.crossunder(rsi, upperBandLow) Buy Signal: RSI crosses up through 20 → market rebounding from oversold. Sell Signal: RSI crosses down through 80 → market turning from overbought. 4. Plotting RSI line (lime green) Bands: 🔴 80–90 (Sell Zone) 🟢 10–20 (Buy Zone) Gray midline at 50 for reference. Triangle markers for signals: 🟢 “BUY” below chart 🔴 “SELL” above chart 5. Trading Logic if (buySignal) strategy.entry("Buy", strategy.long) if (sellSignal) strategy.entry("Sell", CRYPTO:BTCUSD strategy.short OANDA:XAUUSD ) Opens a long position on a buy signal. Opens a short position on a sell signal. No explicit stop loss or take profit — positions reverse when an opposite signal appears. 🧠 How It Works (Step-by-Step Example) RSI drops below 20 → oversold → buy signal triggers. RSI rises toward 80 → overbought → sell signal triggers. Strategy flips position, always staying in the market (either long or short). 📈 Visual Summary Imagine the RSI line oscillating between 0 and 100: 100 ──────────────────────────────── 90 ───── Upper Band High (Sell Limit) 80 ───── Upper Band Low (Sell Trigger) 50 ───── Midline 20 ───── Lower Band High (Buy Trigger) 10 ───── Lower Band Low (Buy Limit) 0 ──────────────────────────────── When RSI moves above 80 → SELL When RSI moves below 20 → BUY ⚡ Strategy Profile Category Description Type Mean Reversion Entry Rule RSI crosses up 20 → Buy Exit/Reverse Rule RSI crosses down 80 → Sell Strengths Simple, effective in sideways/range markets, minimal lag Weaknesses Weak in strong trends, no stop-loss or take-profit logic 💡 Suggested Improvements You can enhance this script by adding: Stop loss & take profit levels (e.g., % or ATR-based). Trend filter (e.g., trade only in direction of 200 EMA). RSI smoothing to reduce noise.
Стратегия Pine Script®
от shaulsibghat25
NLR-ADX Divergence Strategy Triple-ConfirmedHow it works Builds a cleaner DMI/ADX Recomputes classic +DI, −DI, ADX over a user-set length. Then “non-linear regresses” each series toward a mean (your choice: dynamic EMA of the series or a fixed Static Mid like 50). The further a value is from the mean, the stronger the pull (controlled by alphaMin/alphaMax and the γ exponent), giving smoother, more stable DI/ADX lines with less whipsaw. Optional EMA smoothing on top of that. Lock in values at confirmed pivots Uses price pivots (left/right bars) to confirm swing lows and highs. When a pivot confirms, the script captures (“freezes”) the current +DI, −DI, and ADX values at that bar and stores them. This avoids later drift from smoothing/EMAs. Check for triple divergence For a bullish setup (potential long): Price makes a Lower Low vs. a prior pivot low, +DI is higher than before (bulls quietly stronger), −DI is lower (bears weakening), ADX is lower (trend fatigue). For a bearish setup (potential short) Price makes a Higher High, +DI is lower, −DI is higher, ADX is lower. Adds a “no-intersection” sanity check: between the two pivots, the live series shouldn’t snake across the straight line connecting endpoints. This filters messy, low-quality structures. Trade logic On a valid triple-confirm, places a strategy.entry (Long for bullish, Short for bearish) and optionally labels the bar (BUY or SELL with +DI/−DI/ADX arrows). Simple flip behavior: if you’re long and a new short signal prints (or vice versa), it closes the open side and flips. Key inputs you can tweak Custom DMI Settings DMI Length — base length for DI/ADX. Non-Linear Regression Model Mean Reference — EMA(series) (dynamic) or Static mid (e.g., 50). Dynamic Mean Length & Deviation Scale Length — govern the mean and scale used for regression. Min/Max Regression & Non-Linearity Exponent (γ) — how strongly values are pulled toward the mean (stronger when far away). Divergence Engine Pivot Left/Right Bars — how strict the swing confirmation is (larger = more confirmation, more delay). Min Bars Between Pivots — avoids comparing “near-duplicate” swings. Max Historical Pivots to Store — memory cap.
Стратегия Pine Script®
от Cmo22
Squeeze Momentum ProSQUEEZE MOMENTUM PRO - Enhanced Visual Dashboard A modernized version of the TTM Squeeze Momentum indicator, designed for cleaner visual interpretation and faster decision-making. ═══════════════════════════════════════════ 📊 WHAT IS THE SQUEEZE? ═══════════════════════════════════════════ The "squeeze" occurs when Bollinger Bands contract inside Keltner Channels, indicating extremely low volatility. This compression typically precedes explosive directional moves - the tighter the squeeze, the bigger the potential breakout. John Carter's TTM Squeeze concept (from "Mastering the Trade") combines this volatility compression with momentum direction to identify high-probability setups. ═══════════════════════════════════════════ ✨ WHAT'S NEW IN THIS VERSION ═══════════════════════════════════════════ 🎯 VISUAL STATUS BAR - Real-time squeeze state with clear labels - Color-coded backgrounds (Red = Building, Green = Fired Bullish, Orange = Fired Bearish) - Squeeze duration counter to gauge compression time 📊 ENHANCED HISTOGRAM - 4-color momentum gradient (Strong Bull/Weak Bull/Weak Bear/Strong Bear) - Instantly shows both direction AND strength - Background shading for current market state 🔥 SQUEEZE INTENSITY GAUGE - 5-dot pressure indicator showing compression tightness - Percentage display of squeeze strength - Only appears during active squeezes 📈 REAL-TIME METRICS PANEL - Current momentum value - Direction indicator (increasing/decreasing) - Strength assessment (strong/weak) 🔔 COMPREHENSIVE ALERTS - Squeeze started - Squeeze fired (bullish/bearish) - Momentum crossovers ═══════════════════════════════════════════ 🎮 HOW TO USE ═══════════════════════════════════════════ 1. WAIT FOR SQUEEZE • Red status bar appears • Intensity dots show compression level • Longer duration = potentially bigger move 2. WATCH FOR RELEASE • Status changes to "FIRED - BULLISH" or "FIRED - BEARISH" • Histogram color confirms momentum direction • Background highlights the event 3. MANAGE POSITION • Monitor momentum strength in metrics panel • Exit when histogram changes color (momentum reversal) • Use with trend/volume confirmation ═══════════════════════════════════════════ ⚙️ CUSTOMIZATION ═══════════════════════════════════════════ - Toggle status bar, metrics, intensity dots independently - Adjustable BB/KC parameters - Custom color schemes - Show/hide squeeze duration ═══════════════════════════════════════════ 🙏 CREDITS ═══════════════════════════════════════════ Original TTM Squeeze concept: John F. Carter Original indicator code: LazyBear (@LazyBear) This builds on LazyBear's excellent implementation of the TTM Squeeze Momentum indicator, adding modern visual elements and real-time dashboards for improved usability. Original indicator: "Squeeze Momentum Indicator " ═══════════════════════════════════════════ ⚠️ DISCLAIMER ═══════════════════════════════════════════ This indicator is for educational purposes. Always use proper risk management and combine with other forms of analysis. No indicator guarantees profitable trades. ═══════════════════════════════════════════ Best used on: Day trading timeframes (1m-15m) for momentum plays Combine with: Volume analysis, trend filters, support/resistance levels
Индикатор Pine Script®
от pitretmed
XAUUSD Multi-Timeframe Supertrend Alert v2**Indicator Overview: XAUUSD Multi-Timeframe Supertrend Alert v2** **Core Components:** 1. **Multi-Timeframe Supertrend System** - Two Supertrend indicators (ST1 & ST2) with customizable timeframes - ST1 typically set to Daily, ST2 to Weekly as main trend - Visualized with distinct colors and background fills 2. **Customizable SMA** - Adjustable period and timeframe - Plotted as blue line for additional trend reference 3. **Neutral Zone System** - Creates a neutral line offset from ST1 by customizable tick distance - Yellow dashed line that adjusts based on ST1 trend direction - **Alert Conditions:** - **Test Buy Zone**: Both ST1 & ST2 in uptrend AND price enters neutral zone above ST1 - **Test Sell Zone**: Both ST1 & ST2 in downtrend AND price enters neutral zone below ST1 4. **Distance Lines from ST2** - Upper/lower lines at customizable tick distance from ST2 - Purple dashed lines with touch alerts **Trading Signals:** - **Bullish Signal**: Price above ST2 but below ST1 (potential buy) - **Bearish Signal**: Price below ST2 but above ST1 (potential sell) - **Neutral Zone Alerts**: Price enters defined zone when both trends align - **Line Touch Alerts**: Price touches distance lines from ST2 **Alert System:** - Limited to 3 consecutive alerts per signal type - Visual markers (triangles, diamonds, circles) - Background coloring for signal zones - Separate alert conditions for each signal type **Visual Features:** - Candles colored green/red based on signals - Clear trend visualization with colored backgrounds - Real-time alert markers without information table clutter This indicator provides multi-timeframe trend analysis with precise entry zone detection and comprehensive alert system for XAUUSD trading. SAM89 M15, ST1 (5:10) M5, ST2 ( 1,5:20) H1, Test Buy Sell 7000, Line 15000
Индикатор Pine Script®
от Debayako
Trend change[YI_YA_HA_]這是一個趨勢變化和盤整突破偵測指標。 This is a trend change and consolidation breakout detection indicator. 它能自動識別價格進入狹窄盤整區間。 It automatically identifies when price enters a tight consolidation range. 當價格突破箱型上緣，就判定為上升趨勢開始。 When price closes above the box top, it signals the start of an uptrend. 當價格突破箱型下緣，則觸發下跌趨勢警報。 When price closes below the box bottom, it triggers a downtrend alert. 程式會畫出黃色盤整箱體，突破後自動消失。 The script draws a yellow consolidation box that auto-deletes after breakout. 突破向上時，會從低點畫一條綠色趨勢線持續延伸。 On upward breakout, a green trendline is drawn from the low and extends right. 右側標籤即時顯示目前趨勢狀態與價格。 A label on the right shows the current trend status and price in real-time.
Индикатор Pine Script®
от YI_YA_HA_
DTCC RECAPS Dates 2020-2025This is a simple indicator which marks the RECAPS dates of the DTCC, during the periods of 2020 to 2025. These dates have marked clear settlement squeezes in the past, such as GME's squeeze of January 2021. ------------------------------------------------------------------------------------------------------------------ The Depository Trust & Clearing Corporation (DTCC) has published the 2025 schedule for its Reconfirmation and Re-pricing Service (RECAPS) through the National Securities Clearing Corporation (NSCC). RECAPS is a monthly process for comparing and re-pricing eligible equities, municipals, corporate bonds, and Unit Investment Trusts (UITs) that have aged two business days or more . At its core, the Reconfirmation and Re-pricing Service (RECAPS) is a risk management tool used by the National Securities Clearing Corporation (NSCC), a subsidiary of the DTCC. Its primary purpose is to reduce the risks associated with aged, unsettled trades in the U.S. securities market . When a trade is executed, it is sent to the NSCC for clearing and settlement. However, for various reasons, some trades may not settle on their scheduled date and become "aged." These unsettled trades create risk for both the trading parties and the clearinghouse (NSCC) because the value of the underlying securities can change over time. If a trade fails to settle and one of the parties defaults, the NSCC may have to step in to complete the transaction at the current market price, which could result in a loss. RECAPS mitigates this risk by systematically re-pricing these aged, open trading obligations to the current market value. This process ensures that the financial obligations of the clearing members accurately reflect the present value of the securities, preventing the accumulation of significant, unmanaged market risk . Detailed Mechanics: How Does it Work? The RECAPS process revolves around two key dates you asked about: the RECAPS Date and the Settlement Date . The RECAPS Date: On this day, the NSCC runs a process to identify all eligible trades that have remained unsettled for two business days or more. These "aged" trades are then re-priced to the current market value. This re-pricing is not just a simple recalculation; it generates new settlement instructions. The original, unsettled trade is effectively cancelled and replaced with a new one at the current market price. This is done through the NSCC's Obligation Warehouse. The Settlement Date: This is typically the business day following the RECAPS date. On this date, the financial settlement of the re-priced trades occurs. The difference in value between the original trade price and the new, re-priced value is settled between the two trading parties. This "mark-to-market" adjustment is processed through the members' settlement accounts at the DTCC. Essentially, the process ensures that any gains or losses due to price changes in the underlying security are realized and settled periodically, rather than being deferred until the trade is ultimately settled or cancelled. Are These Dates Used to Check Margin Requirements? Yes, indirectly, this process is closely tied to managing margin and collateral requirements for NSCC members. Here’s how: The NSCC requires its members to post collateral to a clearing fund, which acts as a mutualized guarantee against defaults. The amount of collateral each member must provide is calculated based on their potential risk exposure to the clearinghouse. By re-pricing aged trades to current market values through RECAPS, the NSCC gets a more accurate picture of each member's outstanding obligations and, therefore, their current risk profile. If a member has a large number of unsettled trades that have moved against them in value, the re-pricing will crystallize that loss, which will be settled the next day. This regular re-pricing and settlement of aged trades prevent the build-up of large, unrealized losses that could increase a member's risk profile beyond what their posted collateral can cover. While RECAPS is not the only mechanism for calculating margin (the NSCC has a complex system for daily margin calls based on overall portfolio risk), it is a crucial component for managing the specific risk posed by aged, unsettled transactions. It ensures that the value of these obligations is kept current, which in turn helps ensure that collateral levels remain adequate. -------------------------------------------------------------------------------------------------------------- Future dates of 2025: - November 12, 2025 (Wed) - November 25, 2025 (Tue) - December 11, 2025 (Thu) - December 29, 2025 (Mon) The dates for 2026 haven't been published yet at this time. The RECAPS process is essentially the industry's way of retrying the settlement of all unresolved FTDs, netting outstanding obligations, and gradually forcing resolution (either delivery or buy-in). Monitoring RECAPS cycles is one way to track the lifecycle, accumulation, and eventual resolution (or persistence) of failures to deliver in the U.S. market. The US Stock market has become a game of settlement dates and FTDs, therefore this can be useful to track.
Индикатор Pine Script®
от Infinite_Noise
No-Trade Zones UTC+7This indicator helps you visualize and backtest your preferred trading hours. For example, if you have a 9-to-5 job, you obviously can’t trade during that time — and when backtesting, you should avoid those hours too. It also marks weekends if you prefer not to trade on those days. By highlighting no-trade periods directly on the chart, you can easily see when you shouldn’t be taking trades, without constantly checking the time or date by hovering over the chart. It makes backtesting smoother and more realistic for your personal schedule.
Индикатор Pine Script®
от AightBett
#1 Vishal Toora Buy Sell Tablecopyright Vishal Toora **“© 2025 Vishal Toora — counting volumes so you don’t have to. Buy, sell, or just stare at the screen.”** Or a few more playful options: 1. **“© Vishal Toora — making deltas speak louder than your ex.”** 2. **“© Vishal Toora — one signal to rule them all (Buy/Sell/Neutral).”** 3. **“© Vishal Toora — because guessing markets is so 2024.”** Disclaimer: This indicator is for educational and informational purposes only. I do not claim 100% accuracy, and you are responsible for your own trading decisions.
Индикатор Pine Script®
от VishalT_Financee
X C/P VPDescription The X C/P VP indicator visualizes intraperiod option flow dynamics for any selected call and put contracts. It plots the volume of both options as overlapping histograms, allowing traders to observe where liquidity and participation are concentrated. A small dot appears above a bar only when the option’s closing price increases relative to the prior bar, providing an immediate visual cue of upward price pressure within volume spikes. By combining these two layers—volume intensity and directional confirmation—the indicator makes it easy to spot where the market is actively repricing risk across the call/put structure. Use Case Designed for 0DTE and short-dated options, especially index ETFs such as QQQ or SPY. Helps traders compare call vs. put participation to gauge sentiment skew and intraday balance. Useful for monitoring volume surges tied to delta hedging, gamma shifts, or option repricing following volatility or directional moves. Can be applied on 1-minute to 15-minute timeframes to observe how option volume evolves through key market sessions (e.g., open, midday, close). Dots highlight periods where premium expansion accompanies increased volume—often an early sign of momentum or positioning bias. Summary X C/P VP serves as a lightweight, visually intuitive tool to read the rhythm of call and put activity intraday—offering an at-a-glance pulse of which side of the options market is taking control.
Индикатор Pine Script®
от KinetiCapital
Market SessionsMarket Sessions (Asian, London, NY, Pacific) Summary This indicator plots the main global market sessions (Asian, European, American, Pacific) as boxes on your chart, complete with dynamic high/low tracking. It's an essential tool for intraday traders to track session-based volatility patterns and visualize key support/resistance levels (like the Asian Range) that often define price action for the rest of the day. Who it’s for Intraday traders, scalpers, and day traders who need to visualize market hours and session-based ranges. If your strategy depends on the London open, the New York close, or the Asian range, this script will map it out for you. What it shows Customizable Session Boxes: Four fully configurable boxes for the Asian, European (London), American (New York), and Pacific (Sydney) sessions. Session High & Low: The script tracks and boxes the highest high and lowest low of each session, dynamically updating as the session progresses. Session Labels: Clear labels (e.g., "AS", "EU") mark each session, anchored to the start time. Key Features Powerful Timezone Control: This is the core feature. Use Exchange Timezone (Default): Simply enter session times (e.g., 8:00 for London) relative to the exchange's timezone (e.g., "NASDAQ" or "BINANCE"). Use UTC Offset: Uncheck the box and enter a UTC offset (e.g., +3 or -5). Now, all session times you enter are relative to that specific UTC offset. This gives you full control regardless of the chart you're on. Fully Customizable: Toggle any session on/off. Style Control: Change the fill color, border color, transparency, border width, and line style (Solid, Dashed, Dotted) for each session individually. Smart Labels: Labels stay anchored to the start of the session (no "sliding") and float just above the session high. Why this helps Track Volatility & Market Behavior: Visually identify the "personality" of each session. Some sessions might consistently produce powerful pumps or dumps, while others are prone to sideways "chop" or accumulation. This indicator helps you see these repeating patterns. Find Key Support/Resistance Levels: The High and Low of a session (e.g., the Asian Range) often become critical support and resistance levels for the next session (e.g., London). This script makes it easy to spot these "session-to-session" S/R flips and reactions. Aid Statistical Analysis: The script provides the core visual data for your statistical research. You can easily track how often the London session breaks the Asian high, or which session is most likely to reverse the trend, helping you build a robust trading plan. Context is King: Instantly see which market is active, which are overlapping (like the high-volume London-NY overlap), and which have closed. Quick setup Go to Timezone Settings. Decide how you want to enter times: Easy (Default): Leave Use Exchange Timezone checked. Enter session times based on the chart's native exchange (e.g., for BTC/USDT on Binance, use UTC+0 times). Manual (Pro): Uncheck Use Exchange Timezone. Enter your UTC Offset (e.g., +2 for Berlin). Now, enter all session times as they appear on the clock in Berlin. Go to each session tab (Asian, European...) to enable/disable it and set the correct start/end hours and minutes. Style the colors to match your chart theme. Disclaimer For educational/informational purposes only; not financial advice. Trading involves risk—manage it responsibly.
Индикатор Pine Script®
от MAXmks
Lot Size Calculator - Gold🥇 Lot Size Calculator for Gold (XAU/USD) Description: A professional and accurate lot size calculator specifically designed for Gold (XAU/USD) trading. This indicator helps traders calculate the optimal position size based on account balance, risk percentage, and stop loss distance, ensuring proper risk management for every trade. Key Features: Accurate Gold Calculations - Properly accounts for Gold pip values ($10 per pip for standard 100oz lots) Multi-Currency Support - Works with USD, EUR, and GBP account currencies Flexible Contract Sizes - Supports Standard (100 oz), Mini (10 oz), and Micro (1 oz) lots Customizable Decimal Places - Display lot sizes with 2-8 decimal precision (no rounding) Clean Visual Design - Modern, professional info panel with gold-themed styling Adjustable Display - Position panel anywhere on chart with customizable colors and sizes Real-Time Calculations - Instantly updates as you adjust your risk parameters How It Works: The calculator uses the standard forex position sizing formula optimized for Gold: Lot Size = Risk Amount / (Stop Loss in Pips × Pip Value Per Lot) For Gold (XAU/USD): Standard Lot (100 oz): 1 pip = $10 Mini Lot (10 oz): 1 pip = $1 Micro Lot (1 oz): 1 pip = $0.10 Settings: Account Settings: Account Balance: Your trading capital Account Currency: USD, EUR, or GBP Risk Percentage: How much to risk per trade (default: 2%) Contract Size: 100 oz (Standard), 10 oz (Mini), or 1 oz (Micro) Display Currency: Choose how to display risk amounts Trade Settings: Stop Loss: Your SL distance in pips Display Settings: Label Position: Top/Bottom, Left/Right, Middle Right Label Size: Tiny to Huge Decimal Places: 2-8 decimals Custom Colors: Background, text, and accent colors Perfect For: Gold (XAU/USD) day traders and swing traders Position sizing and risk management Traders using fixed percentage risk models Anyone trading Gold CFDs or spot markets Scalpers to long-term Gold investors What Makes This Different: Unlike generic lot size calculators, this tool correctly calculates Gold's pip values based on contract size. Many calculators get this wrong, leading to incorrect position sizing. This indicator ensures you're always trading the right lot size for your risk tolerance. Example Usage: Account Balance: $10,000 Risk: 1% = $100 Stop Loss: 60 pips Contract Size: 100 oz (Standard) Result: 0.1667 lots (exact, no rounding) Perfect for maintaining consistent risk management in your Gold trading strategy!
Индикатор Pine Script®
от kevTheTrader42618
Fixed High Timeframe Moving AveragesFixed High Timeframe Moving Averages (W/D/4H) Summary This indicator plots essential, high-timeframe (HTF) Moving Averages onto your chart, **no matter which timeframe you are currently viewing**. It is designed for traders who need multi-timeframe context at a glance. Stop switching charts to see where the 200-Week or 50-Day MA is—now you can see all critical HTF levels directly on your 5-minute (or any other) chart. --- Who it’s for Traders who rely on moving averages but like to work on lower chart timeframes while keeping higher timeframe context in sight. If you scalp on 1–15m yet want Weekly/Daily/4H MAs always visible, this is for you. --- What it shows Pinned (“fixed”) moving averages from higher timeframes—Weekly (20/100/200) , Daily (50/100/200/365) and 4H (200) —rendered on any chart timeframe. Your favorite HTF MAs stay on screen no matter what TF you’re currently analyzing. --- Features * **MA types:** SMA, EMA, VWMA, Hull. * **Fully configurable:** toggle each line, set periods, colors, and thickness. * **Two alert modes (see below):** intrabar vs confirmed HTF close. * **Works on any symbol & chart TF** using `request.security` to fetch HTF data. --- Alerts & Modes This indicator solves the biggest problem with MTF alerts: false signals. You can choose one of two modes: 1. **Intrabar mode** — compares current chart price to the HTF MA. Triggers as soon as price crosses the HTF line; great for early signals but may update until the HTF bar closes. 2. **Confirmed mode** — checks HTF close vs HTF MA. Signals only on the higher-TF bar close; fewer false starts, no intrabar repainting on that TF. Per-line *Cross Above / Cross Below* conditions are provided for all enabled MAs (e.g., “20W — Cross Above”, “365D — Cross Below”, etc.). **How to use alerts:** add the script → “Create Alert” → pick any condition from the script’s list. --- Why this helps * Keeps Weekly/Daily structure visible while you execute on LTF. * Classic anchors (e.g., 200D, 20W/100W/200W) are popular for trend bias, dynamic support/resistance, and pullback context. * Lets you standardize MA references across all your lower-TF playbooks. --- Notes on confirmation & repainting * Intrabar signals can change until the higher-TF bar closes (that’s expected with multi-TF data). * Confirmed mode waits for the HTF close—cleaner, but later. Choose what fits your workflow. --- Quick setup 1. Pick `MA Type` (SMA/EMA/VWMA/Hull). 2. Enable the HTF lines you want (Weekly 20/100/200; Daily 50/100/200/365; 4H 200). 3. Choose `Alert Mode` (Intrabar vs Confirmed). 4. Style colors/widths to taste and set alerts on the lines you care about. --- Good practice * Combine HTF MAs with price action (swings, structure, liquidity grabs) rather than using them in isolation. * Always validate signals in your execution TF and use a risk plan tailored to volatility. * Protect your capital: position sizing, stops, and disciplined risk management matter more than any single line on the chart. --- Disclaimer For educational/informational purposes only; not financial advice. Trading involves risk—manage it responsibly.
Индикатор Pine Script®
от MAXmks