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Session First 5-Min High/LowHere's a professional description for your indicator: Session First 5-Min High/Low Marker This indicator automatically identifies and marks the high and low price levels established during the first 5 minutes of major trading sessions, helping traders identify key intraday support and resistance zones. Key Features: Tracks three major trading sessions in IST (Indian Standard Time): Asian Session: 5:30 AM - 5:35 AM London Session: 12:30 PM - 12:35 PM New York Session: 5:30 PM - 5:35 PM Draws horizontal lines at the highest and lowest prices reached during each session's opening 5-minute window Color-coded for easy identification (Yellow for Asian, Blue for London, Red for New York) Lines extend across the chart to help track price reactions throughout the day Clean, minimal design with optional labels Best Used For: Identifying key intraday support and resistance levels Session breakout trading strategies Understanding institutional order flow at market opens Works on 1-minute timeframe for precise tracking Customizable Settings: Toggle line extensions on/off Adjust line width (1-5) Change colors for each session Show/hide session labels Perfect for day traders and scalpers who trade around major session openings and want to identify high-probability support/resistance zones established during peak liquidity periods. This description explains what the indicator does, its practical applications, and its key features in a way that's clear for TradingView users.RetryClaude can make mistakes. Please double-check responses.
Pine Script® indicator
by petergangmei
Asia Session Mechanical Entry This indicator executes fully mechanical trades at the start of the Asian session (default: 20:00 Argentina time). Core logic: Compares the closing prices of the previous two sessions at 20:00 and 09:00 to determine bias. If both days move in the same direction, the indicator takes a mean-reversion trade (opposite to the last two days’ move). If the days move in opposite directions, the trade follows the most recent day’s direction. Execution details: Entry price: exact session open or delayed by a user-defined number of candles. Stop Loss: nearest swing high/low ± ATR multiplier buffer. Take Profit: calculated from entry to SL distance, multiplied by user-defined RR ratio. ATR value plotted for volatility reference. Works on H1 charts for consistent candle timing. Features: Adjustable start/end session times. Configurable ATR multiplier, RR ratio, and delay before entry. Manual overrides for SL/TP levels. Automatic daily reset for next session's logic. Notes: This tool is based on a classic session-reversion model enhanced with ATR-based filters, flexible timing, and manual overrides. It is designed for systematic execution and quick visual backtesting.
Pine Script® indicator
by AleNewTrade
RSI Price Sensitivity v3 [Quant-Stable]The RSI Price Sensitivity v3 indicator measures how efficiently and consistently price responds to RSI movement — revealing when RSI momentum actually matters, and when it’s just noise. It’s designed as a quant-grade analytical tool combining RSI, ADX, volatility, regression, and correlation logic to form a single normalized “sensitivity” score. Core Concept Traditional RSI often moves without price follow-through. This indicator quantifies the strength of the connection between RSI and price, dynamically adapting to volatility and trend context. It blends: 📊 RSI-Price Correlation: Statistical relationship between RSI momentum and price momentum. ⚙️ Efficiency Ratio: Measures how direct and smooth the RSI-price relationship is (noise filtering). 📈 Regression Confidence: Tests whether price moves are statistically aligned with RSI structure. 💡 Momentum Alignment: Checks directional agreement between RSI trend and price trend, weighted by ADX. All components are dynamically normalized and weighted into one composite sensitivity score.
Pine Script® indicator
by WSR1
Volume Bubbles & Liquidity Heatmap 30% + biasLuxAlgo gave us an open script, I just primmed it up with the use of Chat GPT:There is no single magic number (like “delta must be 800”) that will guarantee directional follow-through in every market. But you can make a mathematically rigorous filter that gives you a high-probability test — by normalizing the delta against that market’s typical behavior and requiring multiple confirmations. Below is a compact, actionable algorithm you can implement immediately (in your platform or spreadsheet) plus concrete thresholds and the math behind them. High-IQ rule set (math + trade logic) Use three independent checks. Only take the trade if ALL three pass. 1) Z-score (statistical significance of the delta) Compute rolling mean 𝜇 μ and std dev 𝜎 σ of delta on the same timeframe (e.g. 5m) over a lookback window 𝑊 W (suggest 𝑊 = 50 W=50–200 bars). 𝑍 = delta bar − 𝜇 𝑊 𝜎 𝑊 Z= σ W ​ delta bar ​ −μ W ​ ​ Threshold: require 𝑍 ≥ 2.5 Z≥2.5 (strong) — accept 2.0 for less strict, 3.0 for very rare signals. Why: a Z>=2.5 means this delta is an outlier (~<1% one-sided), not normal noise. 2) Relative Imbalance (strength vs total volume) Compute imbalance ratio: 𝑅 = ∣ delta bar ∣ volume bar R= volume bar ​ ∣delta bar ​ ∣ ​ Threshold: require 𝑅 ≥ 0.25 R≥0.25 (25% of the bar’s volume is one-sided). For scalping you can tighten to 0.30–0.40. Why: a big delta with tiny volume isn’t meaningful; this normalizes to participation. 3) Net follow-through over a confirmation window Look ahead 𝑁 N bars (or check the next bar if you need intrabar speed). Compute cumulative delta and price move: cum_delta 𝑁 = ∑ 𝑖 = 1 𝑁 delta bar + 𝑖 cum_delta N ​ = i=1 ∑ N ​ delta bar+i ​ price_move = close bar + 𝑁 − close bar price_move=close bar+N ​ −close bar ​ Thresholds: require cum_delta 𝑁 cum_delta N ​ has the same sign as the trigger and ∣ cum_delta 𝑁 ∣ ≥ 0.5 × ∣ delta bar ∣ ∣cum_delta N ​ ∣≥0.5×∣delta bar ​ ∣, and price_move price_move exceeds a minimum meaningful tick amount (instrument dependent). For ES / US30 type futures: price move ≥ 5–10 ticks; for forex pairs maybe 10–20 pips? Use ATR 20 20 ​ ×0.05 as a generic minimum. Why: separates immediate absorption (buy delta then sellers soak it) from genuine continuation. Bonus check — Structural context (must be satisfied) Trigger should not occur against a strong structural barrier (VWAP, daily high/low, previous session POC) unless you’re explicitly trading exhaustion/absorption setups. If signal occurs near resistance and price does not clear that resistance within 𝑁 N bars, treat as probable trap. Putting it together — final trade decision Take the long (example): If 𝑍 ≥ 2.5 Z≥2.5 and 𝑅 ≥ 0.25 R≥0.25 and cum_delta_N confirms and no hard resistance above (or you’re willing to trade absorption), then enter. Place stop: under the low of the last 2–3 bars or X ATR (instrument dependent). Initial target: risk:reward 1:1 minimum, scale out at 1.5–2R after confirming further delta. Concrete numeric illustration using your numbers You saw FOL = 456, then sell reaction with ~350 opposite. How to interpret: Suppose your 5-min rolling mean 𝜇 μ = 100 and 𝜎 σ=120 (example): 𝑍 = ( 456 − 100 ) / 120 ≈ 2.97 ⇒ statistically big Z=(456−100)/120≈2.97⇒statistically big So it passes Z. If volume on that bar = 2000 contracts: 𝑅 = 456 / 2000 = 0.228 ⇒ just below 0.25 threshold R=456/2000=0.228⇒just below 0.25 threshold So it fails R (weak participation proportionally), explaining why 456 alone didn’t move price. Seller came back with 350 opposite soon after — check cum_delta_N: cum_delta 𝑛 𝑒 𝑥 𝑡 3 ≈ 456 − 350 = 106  net cum_delta next3 ​ ≈456−350=106 net Net is small relative to the initial spike — not convincing follow-through. Conclusion: despite a big absolute number (456), relative measures and lack of follow-through meant the move failed. That’s exactly why raw numbers alone are unreliable. Advanced refinement (for elite performance) Use rolling median + MAD instead of mean/std if delta distribution is skewed. Scale Z by volume volatility: divide Z by volume bar / volume ‾ volume bar ​ / volume ​ to penalize low-volume bars. Use a signed cumulative delta over micro-windows: compute windowed cumulative delta standardized: 𝑍 cum = ∑ 𝑖 = 0 𝑀 − 1 delta 𝑡 − 𝑖 − 𝑀 𝜇 𝑀 𝜎 Z cum ​ = M ​ σ ∑ i=0 M−1 ​ delta t−i ​ −Mμ ​ and require 𝑍 cum ≥ 3 Z cum ​ ≥3 for very high confidence. Add market-depth / DOM confirmation (if available): require that resting ask size above is less than resting bid size below by a factor (i.e. visible liquidity supports the move). Practical thresholds to start with (tune per instrument) Lookback 𝑊 W: 100 bars (5m → about a trading day) Z threshold: 2.5 Imbalance ratio 𝑅 R: ≥ 0.25 (tighten to 0.30 for scalping) Confirmation window 𝑁 N: next 1–3 bars for intraday scalps; 3–6 bars for short swings Cum delta confirmation: ≥ 0.5 × initial delta and same sign Price move confirmation: ≥ 0.03 × ATR20 (or set absolute ticks per instrument) TL;DR — the single best rule Don’t chase absolute numbers. Use Z-score of delta + delta/volume ratio + real follow-through. If all three align, odds are heavily in your favor. If you want, I can: give you a tiny script (pseudocode or Pine / Python) that computes Z, R, cum_delta_N and flags qualifying bars, or run the calculation on a sample of your recent bars if you paste a small CSV of time, delta, volume, close. Which do you want? (I’ll give code right away.) You said: give me a percentage of difference where we have a high probability ChatGPT said: Thought for 7s Nice — straight to the point. Here’s a concise, practical set of percentage thresholds (and associated confidence estimates) you can use right now to flag a “high probability” delta signal. I’ll give you three tiers (good / strong / elite), explain what each means, show how to compute it, and give a short example using your 456/2000 bar. One-line rule Compute delta percent 𝑃 = ∣ delta ∣ volume × 100 % P= volume ∣delta∣ ​ ×100%. Then require Z-score of delta ≥ 2.5 and P to be at or above the threshold below for the desired confidence tier. Threshold tiers (percent of bar volume) Good (high-probability trade candidate) P ≥ 20–25% Typical success probability (when combined with Z≥2.5 and no hard structural resistance): ~60–70%. Use when you want a steady flow of signals with decent edge. Strong (high confidence) P ≥ 30–35% Typical success probability: ~70–80% (with Z≥2.5 + structural alignment). Fewer signals, higher win-rate. Good default for intraday. Elite (very high probability / low false positives) P ≥ 40–50% Typical success probability: ~80–90% (with Z≥3 and confirmation). Rare signals. Use for meaningful size or when you need maximum certainty. Why percentage matters (short) Absolute delta (456) is meaningless without volume context. A 456 delta on 2,000 volume → P = 456/2000 = 22.8% → sits just below the Good threshold, which matches why it failed: decent but not dominant participation. Additional required checks (don’t skip these) To turn P into a reliable filter, always require: Z-score of the delta ≥ 2.5 (or ≥3 for Elite signals). No immediate structural barrier (VWAP, strong resistance) that would plausibly absorb the order. Follow-through: within next N bars (N = 1–3 for scalps) price moves in the same direction by ≥ 0.03×ATR20 (or instrument-specific tick threshold). If this fails, cut fast. Combine all three and your realized win-rate will approach the probabilities above. Practical quick checklist (to apply each signal) Compute P = |delta|/volume. Is P ≥ 30%? (or your chosen tier) Compute Z = (delta − mean)/std over last 100 bars. Is Z ≥ 2.5? Is price not pinned under a heavy resistance? Enter on next bar close (or intrabar on continuation), stop under last 2-bar low (for longs). If price fails to move ≥ 0.03×ATR20 within 3 bars, exit. Example (your bar) delta = 456, volume = 2000 → P = 22.8% → below Good threshold (25%). Even if Z was high, P failed — explains the failure. You need P ≥ ~30% plus Z≥2.5 to call it a Strong signal. Final notes (instrument & timeframe) These percentages were calibrated for futures/US indices and short intraday bars (1–5m). For FX or low-tick instruments, use absolute ticks + a smaller P threshold (start at 15–20%). Always backtest on the specific instrument/timeframe and tune thresholds. If you want, I’ll generate a tiny script (Python or Pine) that calculates P and Z and flags Good/Strong/Elite signals for your chart history so you can see exact historical hit rates. Which language (Python or Pine)? You said: so if we have 456 g vs 350 r what pct is that in favour of green? ChatGPT said: Perfect — let’s calculate it carefully, digit by digit so we don’t make a slip. We have: Green (buy) volume = 456 Red (sell) volume = 350 We want to know what percentage is in favor of green, relative to the total volume. Step 1. Compute total volume Total = 456 + 350 = 806 Total=456+350=806 Step 2. Compute green’s share \text{Green %} = \frac{456}{806} \times 100 Now do it precisely: 456 ÷ 806 = 0.565506 456÷806=0.565506 (rounded) So: 0.565506 × 100 = 56.55 % 0.565506×100=56.55% Step 3. Compute red’s share (for context) 350 806 = 0.434494 → 43.45 % 806 350 ​ =0.434494→43.45% Step 4. Compute difference (bias toward green) 56.55 % − 43.45 % = 13.10 % 56.55%−43.45%=13.10% ✅ Final answer: Green = 56.6% of total Red = 43.4% of total Bias = +13.1 percentage points in favor of green So that’s only a 13% advantage to buyers — modest pressure, not a dominant imbalance. For a high-probability signal (as we discussed earlier), you generally want ≥30% imbalance (e.g. ~65/35 split or stronger). Original: ''The Volume Bubbles & Liquidity Heatmap indicator is a powerful trading tool designed to give traders a clearer picture of volume dynamics and liquidity distribution across multiple timeframes. By combining dynamic volume bubbles with a liquidity heatmap, this indicator makes it easy to identify areas of price interest, spot market imbalances, and improve decision-making for both scalpers and swing traders. This trading indicator is ideal for volume traders, price action traders, and liquidity-focused traders who need a clean, multi-dimensional view of buyer/seller activity and the zones where market participants are most active. With full customization over bubble display, timeframes, and visual settings, traders can tailor the tool to fit virtually any trading strategy or market.''
Pine Script® indicator
by TRADE_the_ORB
bar count plot only for far lookbackPurpose: TradingView limits the number of text/label objects (≈500), which causes traditional bar-count indicators to stop showing numbers when you scroll far back in history. This plots-only version bypasses that limitation entirely, allowing you to view bar numbers anywhere on the chart, even thousands of bars back. How It Works: Displays each bar’s in-day sequence number (1–78 by default) under the candles. Counts restart automatically at the start of each trading day. Uses a dual-channel “digit plot” system (tens + ones) instead of labels—extremely light on performance and unlimited in lookback. The digits are drawn every N bars (default = 3) to keep the view uncluttered. Key Parameters: Show every Nth bar: Controls how often numbers appear (1 = every bar, 3 = every 3 bars, etc.). Notes: Digits are plotted directly via plotshape()—no labels—so they remain visible even 5 000 + bars back. Alignment may vary slightly depending on chart zoom; this version is intended mainly for deep historical review rather than precise near-term alignment.
Pine Script® indicator
by rinaldo3
Microgaps (plots-only, 4-channel, same-day only)Purpose: This indicator visually highlights 3-bar price gaps on your chart, showing clear visual structure for gap zones without lag or diagonal artifacts. It draws two outer lines (top and bottom of the gap) for every valid 3-bar gap, and optionally a midline when the gap is considered “large.” ⚙️ How it works A bull gap is detected when the current bar’s low is higher than the high from two bars ago (low > high ). A bear gap is detected when the current bar’s high is lower than the low from two bars ago (high < low ). The lines are centered at the middle bar of the 3-bar sequence. Gaps are only drawn within the same trading day to avoid false overnight gaps. To prevent overlapping artifacts, up to four concurrent gap channels can be drawn efficiently using GPU-friendly plot() lines. 🔵 Midline logic The midline (center of the gap) is only displayed when the gap’s vertical size is “large” relative to recent volatility. “Large” means the gap height is greater than a user-defined fraction of the average bar range over the past N bars. Example: if the average 8-bar range = 2 points, and the threshold = 0.3, then only gaps larger than 0.6 points will show the midline. 🧩 Parameters Setting Description Bull Gap Color / Width Style of bullish gaps (top and bottom lines). Bear Gap Color / Width Style of bearish gaps (top and bottom lines). Mid Gap Color / Width Style of the optional midline (shown only when “large”). Large Gap — Lookback (bars) Number of bars used to calculate the average range (default: 8). Large Gap — Size vs Avg Range Fraction of the average range that defines a “large” gap (default: 0.5). Set lower (e.g. 0.3) to show more midlines. 💡 Tips Set threshold lower (0.2–0.4) for more midlines, higher (0.6–1.0) to highlight only extreme gaps. Works best on intraday timeframes (1-min to 30-min). Fully GPU-efficient — can scroll back thousands of bars without lag.
Pine Script® indicator
by rinaldo3
HTF Candle Overlay (Boxes + Wicks) 1hr / SolalDescription: This indicator lets you visualize higher time frame (HTF) candles directly on a lower time frame chart. It draws each HTF candle as a transparent box (the body) with wicks extending to the high and low. The boxes automatically update as each higher time frame candle forms and remain fixed once the candle closes. You can choose any higher time frame (e.g., 1H, 4H, 1D) while trading on lower intervals (like 1m, 5m, 15m) to see key market structure and price zones. Features: Display candles from any higher time frame on your current chart. Customizable colors for bullish and bearish candles. Adjustable transparency, border and wick thickness. History depth setting to control how many past HTF candles are displayed. No repainting — candles stay fixed once closed. Use case: Ideal for traders who want to monitor higher time frame price action (support/resistance, trend direction) without switching chart time frames.
Pine Script® indicator
by solalrodriguez
指定周期 EMA (20, 40, 60, 80)This indicator allows you to display EMA (20, 40, 60, 80) from a higher timeframe directly on your current chart. It helps you identify trend direction, confluence zones, and dynamic support/resistance based on multi-timeframe EMAs. Features: Choose any higher timeframe (e.g. 60 = 1H, 240 = 4H, D = 1D) Plots 4 EMAs: 20, 40, 60, and 80 Works seamlessly across all timeframes Ideal for trend confirmation and multi-timeframe analysis 💡 Tip: Try viewing the 1H EMAs on a 15min chart or 4H EMAs on a 1H chart — this helps identify where price interacts with higher timeframe structure.
Pine Script® indicator
by web3moon
Candle count, with simple numberWhat it does Counts the length of same-color candle streaks (consecutive bullish or bearish bars) and prints the running number above each bar: e.g., “1, 2, 3…”; when color flips, it restarts at “1”. Prime numbers (2, 3, 5, 7, 11, 13) are emphasized by rendering one size step larger and with a user-selected color. Labels are pinned to each bar (anchored by bar index and price), so they do not drift when you pan or zoom the chart. How it works Determines candle direction: bullish if close > open, bearish if close < open. If the current bar has the same direction as the previous bar, the counter increments; otherwise it resets to 1. For values 2, 3, 5, 7, 11, 13 the number is highlighted (bigger + custom color). Each number is drawn just above the bar’s High with a configurable offset. The script does not repaint on history. During the live bar, the number updates in real time (as expected). Settings Digits size — Base text size (Tiny / Small / Normal / Large / Huge). Prime numbers are automatically shown one step larger than the base size. Offset above bar (ticks) — Vertical offset from the bar’s High, in instrument ticks. Prime numbers color — Text color used specifically for prime numbers (non-prime digits are white). How to read & use it Rising momentum. Long streaks (e.g., 5–7+) suggest strong directional moves with few pullbacks. Early pause/mean-reversion hints. After a long streak, the appearance of the opposite color (counter resets to “1”) often coincides with a pause or minor retrace. Research & statistics. Quickly see which streak lengths are common on your market/timeframe (e.g., “How often do 3–5 bar runs occur?”). Trade management. You can tie partial exits to specific streak lengths (2, 3, 5…) or reduce risk when the counter flips back to “1”. Why it’s useful Provides a clean, numeric view of momentum with zero smoothing or lag. Works on any symbol and timeframe. Prime-number emphasis makes important counts pop at a glance. Pinned labels stay exactly above their bars, ensuring stable, readable visuals at any zoom level. Notes Doji bars (close == open) are treated as no direction and reset the streak. This is a context tool, not a standalone buy/sell signal. Combine it with your entry/exit framework. Very dense charts may hit platform label limits; the script raises the limit, but extremely long histories on very low timeframes can still be heavy.
Pine Script® indicator
by Buyhim
ATR SPREADThis is a comprehensive ATR SPREAD indicator for TradingView that combines volatility monitoring with spread analysis. Here's what it does and why it's useful: Core Functionality ATR Progress Tracking: Monitors how much of the daily ATR (Average True Range) has been "consumed" during the current trading day Calculates progress from two reference points: day's open and previous day's close Displays progress as percentages or absolute values Provides color-coded visual feedback (green → yellow → orange → red) based on ATR consumption levels Spread Monitoring with Advanced Filtering: Tracks current market spreads using multiple methods (minute high-low ranges, tick-to-tick differences) Calculates rolling average spread to establish baseline conditions Implements sophisticated filtering to exclude anomalous spread readings that could skew analysis Key Features Smart Filtering System: Automatically filters out abnormal spreads during session opens Excludes spreads that are too large relative to price or ATR Removes outliers that exceed normal spread multiples Maintains data quality for accurate analysis Multi-Level Alert System: ATR threshold alerts (50%, 80%, 100% consumption) Customizable warning threshold (default 70%) Spread expansion warnings and alerts Session start notifications Professional Dashboard: Customizable information panel showing real-time metrics Multiple positioning options and visual themes Displays ATR status, progress percentages, current/average spreads Color-coded status indicators for quick assessment Trading Applications Risk Management: Helps traders understand how much daily volatility has been used up Assists in position sizing based on remaining expected movement Identifies periods of unusual market conditions Market Condition Assessment: Monitors liquidity conditions through spread analysis Detects when spreads widen beyond normal levels Filters out unreliable data during volatile periods Entry/Exit Timing: High ATR consumption may suggest limited further movement Low ATR consumption early in the day might indicate potential for larger moves Spread conditions help assess execution quality expectations This indicator is particularly valuable for intraday traders, scalpers, and anyone who needs to monitor market microstructure conditions alongside volatility metrics. It provides a comprehensive view of both price movement potential (ATR) and execution environment quality (spreads) in a single, professional-grade tool.
Pine Script® indicator
by Smart-Day-Trader