Liquidity Sweeps (Improved)this is improved version of liqudity sweep and alert thois is my third attempt
Trendanalyse
Volume Sampled Supertrend [BackQuant]Volume Sampled Supertrend
A Supertrend that runs on a volume sampled price series instead of fixed time. New synthetic bars are only created after sufficient traded activity, which filters out low participation noise and makes the trend much easier to read and model.
Original Script Link
This indicator is built on top of my volume sampling engine. See the base implementation here:
Why Volume Sampling
Traditional charts print a bar every N minutes regardless of how active the tape is. During quiet periods you accumulate many small, low information bars that add noise and whipsaws to downstream signals.
Volume sampling replaces the clock with participation. A new synthetic bar is created only when a pre-set amount of volume accumulates (or, in Dollar Bars mode, when pricevolume reaches a dollar threshold). The result is a non-uniform time series that stretches in busy regimes and compresses in quiet regimes. This naturally:
filters dead time by skipping low volume chop;
standardizes the information content per bar, improving comparability across regimes;
stabilizes volatility estimates used inside banded indicators;
gives trend and breakout logic cleaner state transitions with fewer micro flips.
What this tool does
It builds a synthetic OHLCV stream from volume based buckets and then applies a Supertrend to that synthetic price. You are effectively running Supertrend on a participation clock rather than a wall clock.
Core Features
Sampling Engine - Choose Volume buckets or Dollar Bars . Thresholds can be dynamic from a rolling mean or median, or fixed by the user.
Synthetic Candles - Plots the volume sampled OHLC candles so you can visually compare against regular time candles.
Supertrend on Synthetic Price - ATR bands and direction are computed on the sampled series, not on time bars.
Adaptive Coloring - Candle colors can reflect side, intensity by volume, or a neutral scheme.
Research Panels - Table shows total samples, current bucket fill, threshold, bars-per-sample, and synthetic return stats.
Alerts - Long and Short triggers on Supertrend direction flips for the synthetic series.
How it works
Sampling
Pick Sampling Method = Volume or Dollar Bars.
Set the dynamic threshold via Rolling Lookback and Filter (Mean or Median), or enable Use Fixed and type a constant.
The script accumulates volume (or pricevolume) each time bar. When the bucket reaches the threshold, it finalizes one or more synthetic candles and resets accumulation.
Each synthetic candle stores its own OHLCV and is appended to the synthetic series used for all downstream logic.
Supertrend on the sampled stream
Choose Supertrend Source (Open, High, Low, Close, HLC3, HL2, OHLC4, HLCC4) derived from the synthetic candle.
Compute ATR over the synthetic series with ATR Period , then form upperBand = src + factorATR and lowerBand = src - factorATR .
Apply classic trailing band and direction rules to produce Supertrend and trend state.
Because bars only come when there is sufficient participation, band touches and flips tend to align with meaningful pushes, not idle prints.
Reading the display
Synthetic Volume Bars - The non-uniform candles that represent equal information buckets. Expect more candles during active sessions and fewer during lulls.
Volume Sampled Supertrend - The main line. Green when Trend is 1, red when Trend is -1.
Markers - Small dots appear when a new synthetic sample is created, useful for aligning activity cycles.
Time Bars Overlay (optional) - Plot regular time candles to compare how the synthetic stream compresses quiet chop.
Settings you will use most
Data Settings
Sampling Method - Volume or Dollar Bars.
Rolling Lookback and Filter - Controls the dynamic threshold. Median is robust to outliers, Mean is smoother.
Use Fixed and Fixed Threshold - Force a constant bucket size for consistent sampling across regimes.
Max Stored Samples - Ring buffer limit for performance.
Indicator Settings
SMA over last N samples - A moving average computed on the synthetic close series. Can be hidden for a cleaner layout.
Supertrend Source - Price field from the synthetic candle.
ATR Period and Factor - Standard Supertrend controls applied on the synthetic series.
Visuals and UI
Show Synthetic Bars - Turn synthetic candles on or off.
Candle Color Mode - Green/Red, Volume Intensity, Neutral, or Adaptive.
Mark new samples - Puts a dot when a bucket closes.
Show Time Bars - Overlay regular candles for comparison.
Paint candles according to Trend - Colors chart candles using current synthetic Supertrend direction.
Line Width , Colors , and Stats Table toggles.
Some workflow notes:
Trend Following
Set Sampling Method = Volume, Filter = Median, and a reasonable Rolling Lookback so busy regimes produce more samples.
Trade in the direction of the Volume Sampled Supertrend. Because flips require real participation, you tend to avoid micro whipsaws seen on time bars.
Use the synthetic SMA as a bias rail and trailing reference for partials or re-entries.
Breakout and Continuation
Watch for rapid clustering of new sample markers and a clean flip of the synthetic Supertrend.
The compression of quiet time and expansion in busy bursts often makes breakouts more legible than on uniform time charts.
Mean Reversion
In instruments that oscillate, faded moves against the synthetic Supertrend are easier to time when the bucket cadence slows and Supertrend flattens.
Combine with the synthetic SMA and return statistics in the table for sizing and expectation setting.
Stats table (top right)
Method and Total Samples - Sampling regime and current synthetic history length.
Current Vol or Dollar and Threshold - Live bucket fill versus the trigger.
Bars in Bucket and Avg Bars per Sample - How much time data each synthetic bar tends to compress.
Avg Return and Return StdDev - Simple research metrics over synthetic close-to-close changes.
Why this reduces noise
Time based bars treat a 5 minute print with 1 percent of average participation the same as one with 300 percent. Volume sampling equalizes bar information content. By advancing the bar only when sufficient activity occurs, you skip low quality intervals that add variance but little signal. For banded systems like Supertrend, this often means fewer false flips and cleaner runs.
Notes and tips
Use Dollar Bars on assets where nominal price varies widely over time or across symbols.
Median filter can resist single burst outliers when setting dynamic thresholds.
If you need a stable research baseline, set Use Fixed and keep the threshold constant across tests.
Enable Show Time Bars occasionally to sanity check what the synthetic stream is compressing or stretching.
Link again for reference
Original Volume Based Sampling engine:
Bottom line
When you let participation set the clock, your Supertrend reacts to meaningful flow instead of idle prints. The result is a cleaner state machine, fewer micro whipsaws, and a trend read that respects when the market is actually trading.
Scalp Recent High/Low (Stable v5 r4)UMA Scalp Levels（ウマ・スキャル・レベルズ）
UMA Scalp Levels
Automatically detects recent swing highs and lows —
the “psychological levels” most watched by traders —
and alerts you when a valid breakout occurs.
🔹 Detects swing highs/lows automatically (non-repainting)
🔹 Confirm breakouts by close or wick (configurable)
🔹 Filters small fakeouts using ATR / % thresholds
🔹 Supports breakout alerts (up / down / retest)
🔹 MTF compatible — e.g., show 15m levels on 5m chart
Ideal for scalpers and day traders who want to catch momentum
immediately after a breakout of key levels.
直近で“市場が意識している高値・安値ライン”を自動で検出し、
ブレイク時にサインとアラートを出す、順張り型のスキャルピング指標。
🔹 スイング高値・安値を自動抽出（リペイント耐性あり）
🔹 終値 or ヒゲ抜けでブレイク判定（選択可能）
🔹 ATRや％幅でノイズを除外（小さな抜けをフィルタリング）
🔹 アラート対応（上抜け／下抜け／リテスト検知）
🔹 MTF対応（例：15分足ラインを5分足チャートに表示）
短期トレードで最も意識される「節目の抜け」を視覚化し、
勢いに乗る順張りトレードの精度を高めます。
Santhosh ATR Buy/Sell with Consolidation OverlayUse this indicator to filter false signals, if you get signals within consolidation area , then wait for the market to break the consolidation zone to take the entry. Avoid entry within consolidation zones . For better performance use "lookback period:45", "Consolidation Length:2" for consolidation inputs. Feel free to use your inputs to match your strategy again any asset.
Premarket Power Bar StrategyStep 1: Mark Your Levels Before the Open
When: Between 9:00–9:25 AM ET
Premarket High – the highest price before 9:30 AM
Premarket Low – the lowest price before 9:30 AM
Use extended hours view on your chart platform.
These levels act as magnets and turning points once the market opens. They form the foundation for your first trade of the day.
Step 2: Let Price Come to the Level
Do not chase early price action.
Wait for price to approach either the premarket high or low during regular market hours.
Look for a pause, hesitation, or test near the level.
This keeps you from overtrading and forces you to wait for structure to form.
Step 3: Watch for the Power Bar
A power bar is a large-bodied candle with strong momentum and little to no wick on the opposite side.
It should form directly at the premarket level—not near it, not after a breakout.
At the premarket low, a bullish power bar is your buy trigger.
At the premarket high, a bearish power bar signals a short opportunity.
No power bar? No trade. The level and the candle must come together to create the edge.
(BONUS: As you identify specific patterns, eg, double bottoms, double tops, etc. look for those patterns near the premarket high or low)
Step 4: Entry, Stop, and Target
Entry:
For longs: place your order just above the high of the bullish power bar
For shorts: enter just below the low of the bearish power bar
Stop:
Long trade: just under the low of the power bar
Short trade: just above the high of the power bar
Profit Target Options:
VWAP
Prior day’s close
Key support/resistance levels
Keep your trade logic mechanical and consistent.
Execution Guidelines
Only trade when price reacts at your marked level
Wait for the power bar to fully form before entering
Do not jump in early or chase candles that form away from your levels
Cosmik Z-TP [ZuperView]Cosmik Z-TP is a trend-following trading system for TradingView designed to keep things simple while delivering all the core elements for effective trading, including straightforward trend analysis, a dynamic trading zone, clear entry and exit points, and built-in take-profit and stop-loss levels.
It adapts to a wide range of styles – scalping, day trading, or swing trading – and works smoothly across different bar types, making it a practical choice for traders of any experience level.
📌 Key features
🔸 Trend
Cosmik Z-TP highlights market direction and strength through its Trend Vector and Trailing Stop line, providing clear visual cues for quick trend analysis and trend confirmation.
Uptrend: When price closes above the pink Trailing Stop, the chart background turns green.
Downtrend: When price closes below the blue Trailing Stop, the background turns pink.
The shape of the Trend Vector reveals momentum:
Strong trend: The vector stays flat briefly (fewer than 10 bars) before rising or falling sharply.
Weak trend: The vector remains flat for an extended period (more than 10 bars).
These visual cues make it easy to read both the direction and the intensity of the current trend at a glance.
The trading system identifies market trends across both time-based and non-time-based charts with 2 dedicated modes:
Tick mode: Tailored for non-time-based charts such as Renko or Range. In this setting, the Trend Vector and Trailing Stop react directly to pure price movement, delivering precise trend detection without time constraints.
ninZaATR mode: Designed for time-based charts such as Minute, Second, and Hour, as well as non-time-based charts like Tick and Volume. In this mode, the Trend Vector and Trailing Stop scale with a multiple of ninZaATR, providing a clear read of market volatility within the selected timeframe.
Note: ninZaATR is an enhanced version of the Average True Range (ATR) indicator, designed to deliver smoother trend behavior on lower timeframes.
🔸 Zone
The Trading Zone is a dynamic support/resistance zone formed by the space between the Trend Vector and the Trailing Stop. It pinpoints areas where price is likely to retrace before continuing its move.
You can fine-tune how closely the zone follows price: when it tracks price more tightly, it helps capture early pullbacks; when set farther away, it detects deeper, stronger retracements.
🔸 Pullback signal
Pullback signals come from a 3-oscillator blend of MFI, RSI, and Stochastics, all filtered by the principle of following the trend.
This layered design reduces noise and delivers faster, more dependable trade setups, complete with real-time buy or sell alerts to help you stay on top of every valid entry.
Rather than reacting to the usual overbought or oversold thresholds (70/80 or 30/20), Cosmik Z-TP focuses on the oscillators’ natural tendency to move around the 50 line.
This creates a distinctive pullback-signal method:
Uptrend: When all three oscillators dip below 50, the system flags a potential pullback entry without waiting for an oversold reading.
Downtrend: When all three rise above 50, the system highlights a pullback opportunity without requiring an overbought level.
🔸 Stop and Target Levels
Cosmik Z-TP provides 2 primary ways to place stop-loss (SL) levels, both derived from the behavior of the Trailing Stop, which acts as a dynamic support or resistance and a key guide to trend direction.
These levels are designed to support effective trade and risk management:
Flat Trailing Stop Levels
When the Trailing Stop remains flat, it signals potential market weakness and forms a strong support or resistance level. The system automatically extends these flat levels across the chart, creating natural areas for stop-loss placement that help limit risk as momentum fades.
Trailing Stop Plot
Stops can also be placed directly on the active Trailing Stop line. This approach allows trades to follow the trend until it concludes, reducing premature exits while maximizing profit potential.
For take-profit levels, the same flat Trailing Stop levels already plotted on the chart serve as natural profit objectives, marking key support or resistance levels where price often pauses or reverses.
📌 Customization
The system is built for easy adjustments, allowing each part to align with your unique approach and the market’s pace.
🔸 Trend
Adjust the Trailing Stop plot to focus on short-term or long-term trends.
Use Tick mode for Range and Renko charts.
Apply ninZaATR mode for all other chart types (Minute, Range, Second, Volume, Heiken Ashi, etc.).
🔸 Zone
Control the distance between the Trailing Stop and Trend Vector relative to price to capture either early pullbacks or stronger retracements.
🔸 Signal
Set the signal frequency by adjusting the periods of the MFI, RSI, and Stochastic oscillators.
Define the maximum number of trading signals within a trend phase.
Specify the maximum number of signals allowed during a flat phase of the Trend Vector.
Composite Trend AverageThis indicator combines 6 advanced trend-following indicators into a single consensus system:
• HalfTrend
• T3 (Tillson T3)
• FRAMA (Fractal Adaptive Moving Average)
• MAMA (MESA Adaptive Moving Average)
• McGinley Dynamic
• KAMA (Kaufman Adaptive Moving Average)
Features:
- Composite average line (average of all 6 indicators)
- Consensus zone showing the range between highest and lowest indicator values
- Dynamic color coding: GREEN when price closes above ALL indicators, RED when price closes below ALL indicators
- Toggle options for individual indicators, composite line, and consensus zone
AI Bot Regime Feed (v6) — stableThis indicator generates real-time, structured JSON alerts for external trading bots or automation systems.
It combines multiple technical layers to identify market regimes and high-probability buy/sell events, and sends them to any webhook endpoint (e.g., a FastAPI or Zapier listener).
TIME-Trading Indicator + AlertsWhat it is
A Pine Script study that profiles intraday behavior by day+time windows in CET/CEST, verifies it on history, colors the chart by the expected bias & strength, shows tables/heatmaps with backtest stats, and can alert at the start of each window with a full trading summary.
Core ideas
Day is split into 7 CET windows: 0–6, 6–9, 9–12, 12–15, 15–18, 18–22, 22–24
(NYC is unified as 15–18 and 18–22 across the whole script.)
For each weekday & window we have an expectation (Bull/Bear/Neutral/Chop) with a strength 1–5 and a label (e.g., “Skokový rast”, “Výplach”…).
Script backtests those expectations on your chart’s history:
Computes return of each window (log-return from first bar open to last bar close of the window).
Counts Hit-rate (bull window = return>0; bear window = return<0; neutral/chop excluded).
Tracks Avg % drift, t-stat, and sample size N.
Trend regime (Auto/Manual)
Auto (EMA): price vs EMA(length) on a higher timeframe (configurable) + optional slope filter.
Manual override: Bull / Bear / Neutral.
Regime is read without look-ahead (uses previous bar’s regime when closing a window).
What you see
Background shading of the current window
– color family by category (green=bull, red=bear, gray=neutral, orange=chop), shade by strength 1–5.
Optional labels on window change with regime + label text (“Bull • Najsilnejší rast týždňa”).
Forecast panel (bottom-right) listing the next X windows with label & strength.
Results tables (three views):
Heatmap 7×7 (default): weekday × window grid, each cell shows one metric (toggle among Hit-rate / Avg % / t-stat).
Deň (stránkovanie): full stats for a single day (N, Hit-rate, Avg %, t, label).
Split 2× (dlhá): two stacked tables (Mon–Thu, Fri–Sun) to fit small screens.
Alerts (window start)
Optionally fire at the start of every window.
Message includes: weekday + window, expectation label, strength, current regime, recommended action (Long/Short/Wait), Hit-rate %, Avg %, and N.
Create alerts in TV with Condition → Any alert() function call (so the script’s dynamic text is used).
Optional filters (easy to add/adjust): min N, min Hit-rate, only Bull/Bear windows.
Inputs you control
Regime mode, EMA length, higher-TF for trend check, require EMA slope.
CET/CEST timezone (uses “Europe/Bratislava” by default).
Toggles: background, labels, forecast, results view, table text size, heatmap metric.
Alert enable; (we can add min-N / min-HR filters if you want them by default).
How stats are computed (important)
A window’s return is measured strictly inside the window (open of first bar → close of last bar).
The window is credited to the correct weekday even across midnight.
Hit-rate uses only directional windows (Bull/Bear). Neutral/Chop are excluded.
Best practices
Use chart TF that divides an hour (5/15/30/60m) so window boundaries align cleanly.
Read the heatmap primarily by Hit-rate (signal reliability) and cross-check with Avg % (effect size) and t-stat (significance).
Trade at the start of a strong window in the direction of the current regime, exit time-based (end of window) or on PT/SL.
If you want, I can also:
mask/show only cells with N ≥ threshold,
add NYC sub-split toggle off/on,
export stats to CSV,
or add webhooks-friendly compact alert strings.
DragonEye Strategy — Advanced Multi-Signal Trading SystemDragonEye Strategy combines Squeeze Momentum, Chandelier Exit, and Volume Confirmation into one smart trading system.
Detects market squeezes, confirms breakout direction, and manages trades with multi-level take-profit & stop logic.
Built for precision entries and adaptive exits. Perfect for trend followers and breakout traders.
Relative Strength Ratio • Leader Shift Signals## Overview
This indicator computes a **Relative Strength (RS) ratio** between your chart’s symbol and a reference symbol (e.g. BTC or index), then overlays an EMA-based trend filter and detects **RS divergences** via RSI on that ratio. It highlights when your symbol is leading vs lagging, and spots potential turning points via bullish/negative divergences. No alerts are forced, you get visual cues (lines & labels) only.
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## How It Works
1. **RS Ratio** = (base symbol price) ÷ (reference symbol price).
2. Two EMAs (fast & slow) filter trend context and help identify “leader shifts” (when ratio crosses the fast EMA under trend constraints).
3. **RSI on the ratio** is used to detect divergences. We find swing highs/lows in the *ratio* and compare their RSI values:
* **Bearish RS divergence**: ratio makes a higher high, but RSI makes a lower high
* **Bullish RS divergence**: ratio makes a lower low, but RSI makes a higher low
4. When divergence is confirmed, the script draws connecting lines (and optional markers) on the RS ratio pane to visually flag them.
5. You can customize pivot sensitivity, minimum separation, colors, and toggles for which graphics to show.
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## Best Usage Suggestions
* Use a **reference symbol** that is meaningfully related (e.g. BTC for altcoins, SPX for equities, or a sector index for a stock). The interpretive power comes from seeing relative strength vs a meaningful peer.
* On **higher timeframes** (4H, daily), divergences tend to carry more weight. On lower intraday charts, tighten pivot settings to avoid noise.
* Prefer divergence signals when the RS ratio is also in a favorable trend (e.g. above its EMA for bullish divergences, below for bearish). Using the trend filter EMAs helps reduce false signals.
* Always confirm divergence signals with **price structure, volume, or other momentum indicators**. Divergence is a warning or a hint—not a standalone trigger.
* Because RSI on ratio is subject to noise, avoid over-tuning pivots too tight; broader pivot widths give more robust divergence lines.
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## Inputs & Customization
* **Reference Symbol & Timeframe** for ratio comparison
* **Fast EMA / Slow EMA lengths** and slope threshold (trend filter)
* **RSI length** applied to the RS ratio
* **Pivot left / right bars** and **min separation** to define sturdy swings
* **Toggle lines / markers** visibility, and pick colors for divergence, ratio, EMAs
* Optional “shade” or fill modes (if you have them)
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## Limitations & Disclaimers
* Divergence does **not guarantee** reversals—it often signals **weakening momentum or potential turning zones**, which may not always play out.
* In extremely volatile or fast-moving markets, divergence lines may lag or fail.
* The script relies on historical data (no future lookahead). Because pivots are confirmed after a few bars, some signals show with delay.
* As always: combine with price action, structure, risk management. This is a tool—not a magic eight ball.
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Mean Reverting Suite [OmegaTools]Overview
The Mean Reverting Suits (MR Suite) by OmegaTools is an advanced analytical and visualization framework designed to identify directional exhaustion, statistical overextensions, and conditions consistent with mean-reversion dynamics. It integrates three pillars into a single display: a composite momentum-normalized oscillator, a percentile-based extension model with volume contextualization, and a dynamic structural mapping engine built on confirmed pivots. The indicator does not generate signals or prescribe trade actions; it provides objective context so users can evaluate market balance and the likelihood that price is departing from its recent statistical baseline.
Core logic
The composite oscillator blends MFI on two horizons and RSI on HL2, then averages them to produce a stabilized mean-reversion gauge. Candle and bar colors are mapped by a dual gradient centered at 50. Readings above 50 progressively shift from neutral gray toward the bearish accent color to reflect increasing momentum saturation; readings below 50 shift from the bullish accent color toward gray to reflect potential accumulation or temporary undervaluation. This continuous mapping avoids rigid thresholds and conveys the strength and decay of momentum as a smooth spectrum.
The percentile-based extension model measures the persistence of directional bias by tracking how many bars have elapsed since the last opposing condition. These rolling counts are compared to the 80th percentile of their own historical distributions stored in arrays. When a current streak exceeds its respective percentile, the environment is labeled as statistically extended in that direction. Background shading communicates this information and is modulated by relative volume, computed as live volume divided by a blended average of SMA(30) and EMA(11). Higher opacity implies greater liquidity participation during the extension.
The structural mapping module uses confirmed pivot highs and lows at the chosen length to create persistent horizontal levels that extend forward and automatically maintain themselves until price invalidates or refreshes them. These levels represent market memory zones and assist in reading where reactions previously formed. The engine updates in real time, ensuring the framework continuously reflects the prevailing structure.
Standard deviation and z-score overlay
The updated version introduces a mean and dispersion layer. A simple moving average of HL2 over twice the length provides the reference mean. Dispersion is estimated as the moving average of the absolute deviation between close and the mean over five times the length. The z-score is computed as the distance of price from the mean divided by this dispersion proxy. Visual arrows highlight observations where the absolute z-score exceeds two standard deviations, offering a concise view of statistically unusual departures from the local mean. This layer complements the percentile extension model by adding an orthogonal measure of extremity based on distributional distance rather than run length.
Visualization
Candle bodies and borders inherit the oscillator’s gradient color, creating an immediate sense of directional pressure and potential momentum fatigue. The chart background activates when the extension model detects a statistically rare streak, using blue tones for bearish extension and red tones for bullish extension, with intensity scaling by relative volume. Horizontal lines denote active pivot-based levels, automatically extending, truncating, and refreshing as structure evolves. The z-score arrows appear only when deviations exceed the ±2 threshold, keeping the display focused on noteworthy statistical events.
Inputs and configuration
Length controls the sensitivity of all modules. Lower values make the oscillator and pivot detection more reactive; higher values smooth readings and widen structural context. Bullish and Bearish colors are user-selectable to match platform themes or accessibility requirements.
Interpretation guidance
A strong red background indicates an unusually extended bullish run in the presence of meaningful volume; a strong blue background indicates an unusually extended bearish run in the presence of meaningful volume. Candle gradients near deep bearish tones suggest oscillator readings well above 50; gradients near deep bullish tones suggest oscillator readings well below 50. Pivot lines mark the most recently confirmed structural levels that the market has reacted to. Z-score arrows denote points where price has moved beyond approximately two standard deviations of its local mean, signaling statistically uncommon distance rather than directional persistence. None of these elements are directives; they are objective descriptors designed to improve situational awareness.
Advantages
The framework is adaptive by design and self-normalizes to each instrument’s volatility and rhythm through percentile logic and dispersion-based distance. It is volume-aware, visually encoding liquidity pressure so that users can distinguish thin extensions from structurally significant ones. It reduces chart clutter by unifying momentum state, statistical extension, standard deviation distance, and structural levels into a single coherent view. It is asset- and timeframe-agnostic, suitable for intraday through swing horizons across futures, equities, FX, and digital assets.
Usage notes
MR Suite is intended for analytical and educational purposes. It does not provide trading signals, risk parameters, or strategy instructions. Users may employ its context alongside their own methodologies, risk frameworks, and execution rules. The indicator’s value derives from quantifying how unusual a move is, showing how much liquidity supports it, and anchoring that information to evolving structural references, thereby improving the clarity and consistency of discretionary assessment without prescribing actions.
ICT Levels Breach Scanner (12M Timeframe)Detects and scans for breaches of key Inner Circle Trader (ICT) concepts on the yearly (12M) chart: Swing Lows (3-bar wick pivots), Rejection Blocks (3-bar body pivots), Fair Value Gaps (3-bar inefficiencies), and Volume Imbalances (bullish body gaps ≥0.15%, unmitigated).
Features:
Tracks active levels with arrays for real-time breach detection (price low below any level triggers alert).
Visuals: Blue solid lines (Swing Lows), orange dashed (Rejection Blocks), purple dotted (FVGs), green boxes (VIs)—all extending right.
Red triangle + bgcolor alert on breach bar; built-in alertcondition for notifications.
Optimized for Pine Screener: Filter stocks (e.g., US exchanges) showing symbols where price has traded below these levels on the latest 12M bar.
Usage: Apply to a 12M chart for viz, or add to Screener > Pine tab for multi-symbol scans. Customize gap % or add bearish variants via inputs. Ideal for spotting potential support in long-term trends.
ICT-inspired; test on liquid stocks like AAPL/TSLA. Not financial advice.
Key Session Levels | Highs, Lows, OpensOverview
Designed for scalping and intraday trading on ES, NQ, and other futures markets that trade around the clock, this indicator automatically plots key support/resistance levels:
Session opens
Session highs
Session lows
Overnight highs
Overnight lows
Session Definitions (America/New_York Time)
Session (18:00 - 16:59 ET)
Tracks complete trading cycle
Plots: High, Low
Represents true daily extremes of each session
Overnight Session (18:00 - 9:30 ET)
Captures Asian and European session price action
Plots: Open, High, Low
These levels can act as support/resistance during the NY session
NY Session (9:30 - 16:59 ET)
Optional background highlight for regular trading hours
Helps visually distinguish active NY session from overnight action
Key Features
Flexible Extension Modes
Same Day: Lines end at session close
Next Day: Lines extend through the following session
Full Chart: Lines extend indefinitely to the right
Smart Line Management
Optional extension of overnight levels through NY session
Control how many historical sessions to display (1-250)
Automatic cleanup of old lines
Full Customization
Individual color control for each level
Line style options (solid, dotted, dashed)
Line width adjustment (1px-4px)
Show/hide any level independently
Common Use Cases
Support/Resistance
Breakout/Break & Retest
Strategy
Wait for price to reach a key level
Use Level 2 data to determine who's in control at the level (e.g. aggressive buyers vs. passive sellers) *this requires third-party software and a live data feed
Enter long/short WITH institutional players, identified via Level 2 data
Target areas/levels where the market may reverse
Best Timeframes
Works on any intraday timeframe, optimized for: 1m, 5m, 15m, 30m, 1H
Notes
All times are in America/New_York (Eastern Time)
Requires intraday timeframe to detect specific session times
Lines are semi-transparent by default for better chart visibility
Optimum EMAs x3Function Review
Optimum EMAs x3 scores EMA-price reactions via bullish/bearish percentages. Plots test (purple), bull/bear fast/medium/slow EMAs with toggles/individual colors, three adjustable gradient fills, and reaction table for multi-band analysis.
Usage Write-Up
Set fast (5-15), medium (10-20), slow (15-30) ranges per strategy. Test values via Test EMA for peak scores. Input optima to bull/bear fast/medium/slow for reactive three-band envelope (bullish supports, bearish resistances), refining signals in varied trends.
Market Structure Signals (HH/HL/LH/LL) - PreciseShows higher highs, higher lows, lower highs and lower lows for an easier visual understanding of price structure
Parabolic SAR MTF LinesThe indicator shows the Parabolic SAR sign (price above or below the indicator) for several timeframes at once. You can see at a glance how the price is trending across higher and lower timeframes.
Note that, for lower timeframes, the line becomes yellow to the left because history is limited and there are not enough bars to calculate.
Other features (can be enabled in settings):
* each line can be enabled or disabled individually, so that unused ones can be hidden.
* simple trend detection based on the number of bullish and bearish timeframes; threshold can be changed in Settings.
* "Score" output: counting the net number of bullish and bearish timeframes
* "Trend" output: changes to bullish or bearish as the score goes over or under the threshold
* background color (green or red according to trend).
* alert for trend change.
* another alert with a separate threshold score for flexibility.
* score weights for further customization of trend detection and alerts. Input parameters are set in terms of score values instead of number of lines.
* input options to choose alert modes for trend and extra alerts. The options are "once per bar close" (default), "once per bar", "every time".
This indicator was based on MACD MTF Lines where all the logic and features came from.
CCT Ignition Candle DetectorCCT Ignition Candle Detector
The CCT Ignition Candle Detector indicator was developed to assist traders in identifying “ignition candles” — candles that represent potential high-volatility breakout events accompanied by strong volume and a clear directional move relative to short-term trend averages.
Concept and Functionality
This indicator measures the relationship between the candle’s amplitude (difference between high and low) and the Average True Range (ATR).
The ratio between these two values provides insight into whether the current candle exhibits volatility that is statistically significant compared to its recent history.
Additionally, the indicator evaluates body strength, volume behavior, and proximity to the EMA8 (a short-term dynamic average often used to gauge immediate momentum).
When specific quantitative criteria are met, the indicator identifies the candle as a potential Ignition Candle, meaning it could mark the start of a new impulse move.
Ignition Criteria:
A candle is considered an Ignition Candle when all of the following conditions are satisfied:
Amplitude ≥ 3× ATR
Candle body ≥ 2.5% (difference between open and close relative to open)
Volume ≥ 1.3× SMA14 (volume)
Breakout of the EMA8 in the direction of the move (bullish or bearish)
When these factors align, the indicator marks the corresponding candle with a label and displays an orange highlight in the information panel.
This visual cue helps the trader immediately identify points of high energy or breakout potential in the chart.
Readings and Visual Elements
Yellow line: Candle amplitude (High–Low)
Red line: True Range (ATR)
White line: Moving average of ATR
Info panel: Displays amplitude, ATR value, volume comparison, EMA8 relation, and ignition status.
label on chart: Appears when an ignition candle is detected.
The indicator does not generate trading signals, but provides quantitative context for decision-making.
Practical Usage
Traders may use this indicator to:
Identify potential breakout zones after periods of contraction.
Confirm whether a strong candle represents true momentum or a false breakout.
Combine ignition readings with trend filters (such as higher timeframe EMA or price structure).
Evaluate the strength of reversals or continuation moves.
A common practical approach is to enter in the direction of the ignition candle once it closes,
place a protective stop below or above the candle’s body, and target 1.5–2× the initial risk.
This approach leverages volatility expansion in its early stage.
Recommended Settings:
ATR Length: 14 (default)
EMA Period: 8
Volume MA: 14
Timeframes: Works well in intraday and daily charts.
Notes:
This tool is designed as a volatility and momentum analyzer, not a buy/sell system.
It should be used together with broader market context, price structure, and volume confirmation.
It aims to standardize the interpretation of large candles, allowing the trader to objectively identify when volatility expansion is statistically relevant.
Credits:
Developed by Central CryptoTraders © 2025
Optimum EMAs x2Function Review
Optimum EMAs assesses EMA-price interactions by scoring reaction percentages for bullish/bearish touches. Creates EMA bands (top: most reactive bearish EMA as resistance; bottom: most reactive bullish EMA as support) with customizable test/bull/bear fast/slow EMAs, toggles, adjustable colors/gradients, and reaction table.
Usage Write-Up
Define fast (e.g., 5-15) and slow (e.g., 15-30) EMA ranges based on strategy. Scan with Test EMA for high reaction scores. Set optima in Bull/Bear Fast/Slow inputs to form reactive EMA bands (bullish top support, bearish bottom resistance), enhancing trend signals in bull/bear markets.
OOO Trade (By Bodinphat) V.2Description:
This indicator is an advanced trend-following system that combines multi-timeframe signals, order block zones (OB Zones), and precision-based metrics to help traders identify high-probability buy and sell opportunities.
It automatically analyzes EMA trends, RSI pullbacks, ADX strength, and volume confirmation to calculate a dynamic confidence score for both long and short directions.
The system also displays:
📊 Multi-Timeframe Trend Strip (M1 → D1) — showing each timeframe’s directional bias (Buy/Sell/Neutral).
🎯 OB Zones (Order Blocks) — highlights institutional demand (Bullish OB) and supply (Bearish OB) zones on the chart.
📋 Right-Side Info Panel — displays key metrics such as score, accuracy, SL/TP targets, and bias direction in real-time.
⚡ Session Filters — optional London/NY session filters for more accurate signal alignment.
This tool is ideal for traders who want to follow structured price action while maintaining a clear view of market strength and institutional zones.
It works best with XAUUSD, GBPUSD, and major indices on intraday or swing timeframes.
% Away from x DMA% Away from X DMA
This indicator measures how far the current price is from a chosen moving average, expressed as a percentage. It helps identify overbought/oversold conditions and
mean reversion opportunities.
How It Works:
- Calculates a Simple Moving Average (SMA) for the specified period
- Measures the percentage distance between current price and the moving average
- Positive values indicate price is above the average
- Negative values indicate price is below the average
Key Features:
- Flexible Period: Customize the moving average length (default: 200 DMA)
- Percentage-Based: Standardized measurement works across all price ranges
- Visual Clarity: Blue area plot makes deviations easy to spot
- Universal Application: Works with any asset or timeframe
Trading Applications:
- Mean Reversion: Extreme values often precede reversals back to the mean
- Trend Strength: Large positive values indicate strong uptrends
- Support/Resistance: Major moving averages act as dynamic support/resistance
- Entry Timing: Buy dips when significantly below, sell rallies when extended above
- Risk Management: Avoid entries during extreme deviations
Common Settings:
- 20 DMA: Short-term trend and swing trading
- 50 DMA: Intermediate trend analysis
- 200 DMA: Long-term trend and major support/resistance (default)
Interpretation Guidelines:
- +/-5-10%: Normal price action
- +/-10-20%: Extended move, caution warranted
- +/-20%+: Extreme deviation, high probability mean reversion setup
Ideal for swing traders, mean reversion strategies, and identifying optimal entry/exit points relative to trend.
OOO Trade (By Bodinphat)Script Description (for TradingView Publish Page)
Description:
This indicator is an advanced trend-following system that combines multi-timeframe signals, order block zones (OB Zones), and precision-based metrics to help traders identify high-probability buy and sell opportunities.
It automatically analyzes EMA trends, RSI pullbacks, ADX strength, and volume confirmation to calculate a dynamic confidence score for both long and short directions.
The system also displays:
📊 Multi-Timeframe Trend Strip (M1 → D1) — showing each timeframe’s directional bias (Buy/Sell/Neutral).
🎯 OB Zones (Order Blocks) — highlights institutional demand (Bullish OB) and supply (Bearish OB) zones on the chart.
📋 Right-Side Info Panel — displays key metrics such as score, accuracy, SL/TP targets, and bias direction in real-time.
⚡ Session Filters — optional London/NY session filters for more accurate signal alignment.
This tool is ideal for traders who want to follow structured price action while maintaining a clear view of market strength and institutional zones.
It works best with XAUUSD, GBPUSD, and major indices on intraday or swing timeframes.
Disclaimer:
This indicator is for educational and informational purposes only.
It does not constitute financial advice. Please test thoroughly before using in live trading.
DEFECT WARRIORPrecise DEFECT candle detection with visual arrows and labels
Zone context: Demand/Supply (DM/SP) + FVG proximity filter
Optional Fib clustering at 0.617 / 0.500 / 0.242 for refined entries
HTF bias (H4/D1/H12) to reduce counter-trend noise
Clear alerts for BUY/SELL, zone touch, and Fib confirmations
Lightweight, readable visuals for fast decision-making
How to use
Choose your signal timeframe (e.g., M30/H1).
Enable HTF bias (e.g., D1 or H4) to keep setups in trend.
Look for DEFECT signals inside/near zones and at Fib levels.
Plan SL beyond the nearest wick/zone; manage TP with your risk model.
Good for swing and intraday traders who want rule-based entries with zone + Fib confluence and minimal chart clutter
