Quarter Strength Table (3M) [CHE] Quarter Strength Table (3M) — quarterly seasonality overview for the current symbol
Is there seasonality in certain assets? Some YouTubers claim there is—can you test it yourself?
Summary
This indicator builds a compact table that summarizes quarterly seasonality from three-month bars. It aggregates the simple return of each historical quarter, counts observations, computes the average return and the win rate for each quarter, and flags the historically strongest quarter. The output is a five-column table rendered on the chart, designed for quick comparison rather than signal generation. Because it processes only confirmed higher-timeframe bars, results are stable once a quarter has closed.
Motivation: Why this design?
Seasonality tools often mix intraperiod estimates with live bars, which can lead to misleading flips and inconsistent statistics. The core idea here is to restrict aggregation to completed three-month bars only and to deduplicate events by timestamp. This avoids partial information and double counting, so the table reflects a consistent, closed-bar history.
What’s different vs. standard approaches?
Baseline: Typical seasonality studies that compute monthly or quarterly stats directly on the chart timeframe or update on live higher-timeframe bars.
Architecture differences:
Uses explicit higher-timeframe requests for open, close, time, and calendar month from three-month bars.
Confirms the higher-timeframe bar before recording a sample; deduplicates by the higher-timeframe timestamp.
Keeps fixed arrays of length four for the four quarters; renders a fixed five-by-five table with zebra rows.
Practical effect: Once a quarter closes, counts and averages are stable. The “Best” column marks the highest average quarter so you can quickly identify the historically strongest period.
How it works (technical)
On every chart bar, the script requests three-month open, close, time, and the calendar month derived from that bar’s time. When the three-month bar is confirmed, it computes the simple return for that bar and maps the month to a quarter index between zero and three. A guard stores the last seen three-month timestamp to avoid duplicate writes. Per quarter, it accumulates the sum of returns, the number of samples, and the number of positive samples. From these, it derives average return and win rate. The table header is created once on the first bar; content updates only on the last visible chart bar for efficiency. No forward references are used, and lookahead is disabled in all higher-timeframe requests to avoid peeking.
Parameter Guide
Percent — Formats values as percentages. Default: true. Trade-off: Easier visual comparison; disable if you prefer raw unit returns.
Decimals — Number of digits shown. Default: two. Bounds: zero to six. Trade-off: More digits improve precision but reduce readability.
Show table — Toggles table rendering. Default: true. Trade-off: Disable when space is limited or for batch testing.
Reading & Interpretation
The table shows rows for Q1 through Q4 and columns for Count, Avg Ret, P(win), and Best.
Count: Number of completed three-month bars observed for that quarter.
Avg Ret: Average simple return across all samples in that quarter.
P(win): Share of samples with a positive return.
Best: An asterisk marks the quarter with the highest average return among those with at least one sample.
Use the combination of average and win rate to judge both magnitude and consistency. Low counts signal limited evidence.
Practical Workflows & Combinations
Trend following filter: Favor setups when the upcoming or active quarter historically shows a positive average and a stable win rate. Combine with structure analysis such as higher highs and higher lows to avoid fighting dominant trends.
Exits and risk: When entering during a historically weak quarter, consider tighter risk controls and quicker profit taking.
Multi-asset and multi-timeframe: The default settings work across most liquid symbols. For assets with sparse history, treat results as low confidence due to small sample sizes.
Behavior, Constraints & Performance
Repaint and confirmation: Aggregation occurs only when the three-month bar is confirmed; values do not change afterward for that bar. During an open quarter, no new sample is added.
Higher-timeframe usage: All higher-timeframe requests disable lookahead and rely on confirmation to mitigate repaint.
Resources: Declared `max_bars_back` is two thousand. Arrays are fixed at length four. The script updates the table only on the last visible bar to reduce work.
Known limits: Averages can be affected by outliers and structural market changes. Limited history reduces reliability. Corporate actions and contract rolls may influence returns depending on the symbol’s data source. This is a visualization and not a trading system.
Sensible Defaults & Quick Tuning
Starting values: Percent true; Decimals two; Show table true.
If numbers feel noisy: Decrease decimals to one to reduce visual clutter.
If you need raw values: Turn off Percent to display unit returns.
If the table overlaps price: Toggle Show table off when annotating, or reposition via your chart’s table controls.
What this indicator is—and isn’t
This is a historical summary of quarterly behavior. It visualizes evidence and helps frame expectations. It is not predictive, does not generate trade signals, and does not manage positions or risk. Always combine with market structure, liquidity considerations, and independent risk controls.
Inputs with defaults
Percent: true, boolean.
Decimals: two, integer between zero and six.
Show table: true, boolean.
Pine version: v6
Overlay: true
Primary outputs: Table with five columns and five rows.
Metrics/functions used: Higher-timeframe data requests, table rendering, arrays, bar state checks, month mapping.
Special techniques: Closed-bar aggregation, deduplication by higher-timeframe timestamp, zebra row styling.
Performance/constraints: Two thousand bars back, small fixed loops, higher-timeframe requests without lookahead.
Compatibility/assets/timeframes: Works on time-based charts across most assets with sufficient history.
Limitations/risks: Sample size sensitivity, regime shifts, data differences across venues.
Debug/diagnostics: (Unknown/Optional)
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
Indicators and strategies
fartbombLinReg fit (history): solid line showing the best-fit linear trend over the last len bars.
Projected offset (visual): same line shifted h bars right so you can see direction.
Future projection (segments): the actual next-h forecast, drawn from the last bar.
Forecast made h bars ago: circle at each bar’s target showing what was predicted h bars earlier.
H / X markers: a hit if that earlier forecast fell inside the bar’s high–low range.
Vertical Lines at 10:00 & 11:30Sales-Style Description
This script is a simple but powerful TradingView add-on that automatically marks your chart with clear, bold vertical lines at exactly 10:00 AM and 11:30 AM every day. No more manually drawing lines or setting reminders — it does the work for you.
Always on time: It tracks the market clock in real-time and drops a line the moment your chart hits those times.
Clean visibility : The lines are bright blue (#2962FF), solid, and drawn with thickness level 3, so they stand out against any background or chart theme.
Automatic housekeeping: It keeps your workspace clean by automatically deleting old lines once you reach a set limit, so your chart never gets cluttered.
Customizable : You can change the time zone, thickness, and the number of days’ worth of lines to keep.
Set it and forget it: Once added to your chart, it runs quietly in the background — you’ll always know when the 10:00 and 11:30 sessions hit without lifting a finger.
Quick Valuation V.1.0 (Ibo)This Pine Script indicator performs a Quick Discounted Cash Flow (DCF)-style Valuation to estimate the intrinsic value of a stock.
It calculates a projected Fair Value and a Margin of Safety based on user inputs or automatically pulled financial data from TradingView (like revenue, growth, margin, and exit P/E). It also automatically computes a Discount Rate using a modified CAPM model.
Key Features
Valuation Output: Calculates a target Fair Value and the resulting Margin of Safety.
Data Flexibility: Automatically pulls essential fundamentals (Revenue, Margins, Shares Outstanding, etc.) but allows the user to override any value (revenue, growth, P/E, shares, etc.) via the settings.
Automated Discount Rate: Calculates the Discount Rate (Cost of Equity) using the current 10-Year Real Yield and a computed or user-defined Beta.
Clear Display: Presents all input metrics, calculated values, and data sources (TradingView or User Input) in a neat table on the chart.
Wyckoff PhaseMap Overlay [FxalgoxPro]📊 Wyckoff PhaseMap Overlay
Professional Wyckoff Market Cycle Indicator for TradingView
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🎯 OVERVIEW
The Wyckoff PhaseMap Overlay is a sophisticated indicator that automatically identifies and visualizes the four phases of the Wyckoff Market Cycle on your price chart, combining price action analysis with volume confirmation to detect:
Phase 1: Accumulation (Cause)
Phase 2: Mark Up (Effect)
Phase 3: Distribution (Cause)
Phase 4: Mark Down (Effect)
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🔑 KEY FEATURES
📈 Phase Detection
Accumulation : Identifies selling climax (SC), automatic rally (AR), secondary tests (ST), and springs
Mark Up : Detects sustained uptrend with higher highs/higher lows structure
Distribution : Recognizes buying climax (BC), UTAD (upthrust after distribution), and range formation
Mark Down : Confirms breakdown with volume and downtrend structure
🎨 Visual Elements
Phase Background Colors : Optional color-coded backgrounds for each phase
Range Lines : Dynamic support/resistance levels during accumulation and distribution
Event Markers : Clear labels for Spring, UTAD, JTC (Jump the Creek), and breakdowns
Trend MA Overlay : Moving average for trend confirmation
Phase Labels : Large, descriptive labels when phases change
📊 Dashboard
Real-time phase status
Volume climax indicator
Event counters (Spring, UTAD, JTC)
Customizable position and size
🔔 Alerts
Phase change notifications
Spring detection
UTAD detection
Jump the Creek confirmation
Breakdown signals
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⚙️ CONFIGURATION
Wyckoff Phases (Main Settings)
Parameter | Default | Description
---------------------------- | ------- | -------------
Trend MA Length | 50 | Moving average for trend detection
Volume Climax Threshold | 1.5 | Multiplier for average volume to detect climax events
Range Detection Length | 14 | Lookback period for range identification
Phase 1: Accumulation
Toggle accumulation phase display
Show/hide Spring events
Show/hide AR (Automatic Rally) and ST (Secondary Test)
Customize phase and spring colors
Phase 2: Mark Up
Toggle mark up phase display
Show/hide Jump The Creek (JTC) events
Customize phase and JTC colors
Phase 3: Distribution
Toggle distribution phase display
Show/hide UTAD events
Show/hide BC (Buying Climax)
Customize phase and UTAD colors
Phase 4: Mark Down
Toggle mark down phase display
Customize phase and breakdown colors
Visual Settings
Show Phase Labels : Display large phase transition labels
Show Event Markers : Display Spring, UTAD, JTC markers
Show Phase Background : Color-code background by current phase
Dashboard
Show Dashboard : Toggle statistics panel
Position : Top Right / Bottom Right / Bottom Left
Size : Tiny / Small / Normal
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🧠 HOW IT WORKS
Phase Detection Logic
1️⃣ Accumulation (Cause)
Triggers:
- Selling climax detected (high volume + down move)
- Price enters range-bound consolidation
- Low volume compression
- Spring: False breakdown below support with low volume
2️⃣ Mark Up (Effect)
Triggers:
- Jump The Creek (JTC): Breakout from accumulation range
- Volume confirms breakout (>1.3x average)
- Higher highs and higher lows structure
- Price above trend MA
3️⃣ Distribution (Cause)
Triggers:
- Buying climax detected (high volume + up move)
- Price enters range-bound consolidation after uptrend
- UTAD: False breakout above resistance with volume
- Range compression
4️⃣ Mark Down (Effect)
Triggers:
- Breakdown from distribution range
- Volume confirms breakdown (>1.3x average)
- Lower lows and lower highs structure
- Price below trend MA
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📝 EVENT DEFINITIONS
Event | Phase | Description | Visual
-------- | ------------- | ------------------------------------------------ | -------------------------
SC | Accumulation | Selling Climax - panic selling with high volume | Volume spike + price drop
AR | Accumulation | Automatic Rally - bounce from oversold | Recovery move
ST | Accumulation | Secondary Test - retest of lows | Low volume test
Spring | Accumulation | False breakdown below support | 🟢 Label below
JTC | Mark Up | Jump The Creek - confirmed breakout | 🔵 Label (transition)
BC | Distribution | Buying Climax - euphoric buying with high volume | Volume spike + price rise
UTAD | Distribution | Upthrust After Distribution - false breakout | 🟠 Label above
SOW | Mark Down | Sign of Weakness - confirmed breakdown | 🔴 Label (transition)
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🎯 USE CASES
For Traders
Identify accumulation zones for potential long entries
Recognize distribution zones for potential short entries or exits
Confirm trend changes with phase transitions
Avoid false breakouts (Springs and UTADs)
Time entries using Jump The Creek signals
For Analysts
Market structure analysis across multiple timeframes
Volume-price divergence identification
Institutional behavior tracking (accumulation/distribution)
Cycle completion analysis
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🎨 RECOMMENDED SETTINGS
For Swing Trading (Daily/4H)
Trend MA Length: 50
Volume Climax Threshold: 1.5
Range Detection Length: 14
For Intraday Trading (1H/15m)
Trend MA Length: 20
Volume Climax Threshold: 2.0
Range Detection Length: 10
For Long-term Investors (Weekly)
Trend MA Length: 100
Volume Climax Threshold: 1.3
Range Detection Length: 20
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📚 WYCKOFF METHOD RESOURCES
The indicator is based on Richard Wyckoff's market cycle theory:
Accumulation → Smart money accumulates while retail panics
Mark Up → Price rises as smart money distributes to late buyers
Distribution → Smart money exits while retail buys
Mark Down → Price falls as retail holds losing positions
Learn More:
Wyckoff Analytics
Market cycle analysis
Volume Spread Analysis (VSA)
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⚠️ IMPORTANT NOTES
Volume Required : Indicator requires volume data (won't work on some Forex brokers without volume)
Timeframe : Best results on 1H, 4H, Daily, Weekly
Confirmation : Always combine with other analysis methods
Context : Phase detection improves with clean, trending markets
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🐛 TROUBLESHOOTING
Q: Why aren't any phases showing?
Ensure volume data is available for your symbol
Try adjusting Volume Climax Threshold (lower = more sensitive)
Check if Show Phase Background is enabled
Q: Too many false signals?
Increase Volume Climax Threshold for stricter detection
Increase Range Detection Length for better range identification
Use higher timeframes (4H/Daily)
Q: Dashboard not showing?
Check Show Dashboard is enabled in settings
Ensure panel isn't off-screen (try different position)
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👨💻 CREDITS
Developer : Fxalgox
Method : Richard Wyckoff Market Cycle Theory
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💡 TIPS FOR BEST RESULTS
Combine with Market Context : Use alongside market structure analysis
Multi-timeframe Confirmation : Check higher timeframe phase alignment
Volume is Key : Pay attention to volume climax indicators in dashboard
Be Patient : Wait for phase confirmations before taking action
Use Alerts : Set up alerts for phase changes and key events
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Happy Trading! 📈
Remember: This indicator is a tool for analysis, not financial advice. Always manage risk appropriately.
Trap LineTrap Line W — Weekly Trend Barrier (Closed-source)
Overview
Trap Line W is a trend-following overlay that plots a single weekly baseline to define the market’s higher-timeframe regime. Price above the line indicates a bullish regime; price below the line indicates a bearish regime. The goal is to promote regime discipline—staying aligned with the dominant direction and avoiding late, emotionally driven entries. Core parameters are fixed to ensure consistent behavior across symbols.
What it does (principles, not secrets)
• Builds a smoothed weekly baseline designed to approximate the higher-timeframe trend path.
• Uses higher-timeframe aggregation so regime assessments align with closed weekly candles.
• Acts as a simple, binary bias filter: long-only above, short/avoid longs below (framework, not advice).
Inputs
• No user-tweakable inputs. Parameters are fixed to reduce overfitting and improve repeatability.
How to read it
• Above the line ⇒ bullish regime.
• Below the line ⇒ bearish regime.
• A confirmed weekly close through the line suggests a potential regime transition; intrawEEK moves may fade.
Practical use cases
• Bias gating: enable/disable long or short playbooks based on the weekly regime.
• Portfolio overlay: apply to a watchlist; prefer allocations aligned with the weekly regime.
• Risk context: in a bullish regime, tolerate pullbacks selectively; in a bearish regime, be conservative with counter-trend exposure.
• Timeframe bridging: weekly sets bias; lower timeframes handle entries/exits.
Best practices
• Wait for the weekly close before declaring a regime flip.
• Combine with market structure (HH/HL vs. LH/LL), volume behavior, and higher-timeframe S/R.
• Prefer time-based candles and liquid instruments for clearer behavior.
Charting & data notes
• Values derive from the weekly timeframe and finalize on the weekly close; interim values may update during formation.
• Use standard time-based candles. Avoid interpreting signals on Heikin Ashi, Renko, Kagi, Point & Figure, or Range charts.
Common pitfalls
• Front-running the weekly close can cause false regime flips.
• Overtrading counter-trend near the line often has lower expectancy.
• Ignoring liquidity/news risk can lead to whipsaws around the baseline.
Who it’s for
• Swing and position traders needing a clear, rules-based regime filter.
• Systematic traders who prefer a simple, fixed-parameter bias overlay.
Limitations & disclosures
• Closed-source; for educational and analytical use only.
• Not financial advice. Markets involve risk; past performance is not indicative of future results.
Suggested screenshot captions
• “Bullish regime: weekly close above Trap Line W; pullbacks respecting the line.”
• “Bearish regime: weekly close below Trap Line W; rallies capped near the line.”
Strat Combo Detector (ATH)The Strat Combo Detector detects user-defined strat combos (inside/directional/outside bars) on a chosen higher timeframe and optionally marks examples for research.
What it does: This indicator accepts a flexible timeframe string (e.g., 12h , 1H , 3D , or minute counts like 60 ), parses a human-entered combo string such as 3-2-2 or 3-1 , and checks whether the most-recent bars match the requested pattern.
Why it's helpful/unique:
Supports flexible timeframe input (converts h suffix to minutes), making it easier to work with non-standard higher timeframe labels.
Parses human-friendly combo strings and defends against invalid tokens.
Offers an Include Open Bars option for users who want to detect forming candles vs only confirmed bars.
Default publishing behavior keeps chart clean (labels off); there's an example-label mode to generate a small nuber of annotated examples for screenshots.
How the bar types are defined:
1=inside (high<=previous high and low >= previous low)
2=directional (neither inside nor outside)
3=outside (high > previous high and low < previous low).
Use the description above to reproduce the logic -- thresholds and ties are coded with <=/>= intentionally to include equal highs/lows.
How to use: Set Detection Timeframe , provide a combo. string like 2-3 or 3-2-2, toggle whether to include forming candles, and enable labels only if you want visible markers.
Limitations & notes: This is a detection/research helper, not an execution system. Alerts use a fixed message (Pine requires constant alert strings) -- customize alert text when creating an alert in the TradingView UI. Results depend on timeframe and symbol; verify with your own backtests.
Disclaimer: Not trading advice. Use risk management. Do your own backtesting.
DX Fibonacci LevelsDX Fibonacci Levels Indicator
This Pine Script code implements a custom Fibonacci levels indicator that displays key Fibonacci retracement and extension levels on a price chart. The indicator helps traders identify potential support, resistance, and breakout areas by plotting significant Fibonacci levels based on the most recent high and low price range.
How to Use the Indicator:
Interpretation of Fibonacci Levels:
The indicator plots the following Fibonacci levels:
23.6% Retracement (Gray Line): This level represents a shallow retracement and is often considered a potential minor support or resistance area. It can signal a short-term price correction.
38.2% Retracement (Blue Line): One of the most widely used retracement levels. A price reversal at this level is seen as a potential indication of a strong move in the original direction.
50.0% Retracement (Gray Line): Although not a Fibonacci ratio itself, this level is a psychological midpoint. A 50% retracement often represents a neutral point where price could either reverse or continue in the original direction.
61.8% Retracement (Yellow Line): A key level for traders, as it is considered the "golden ratio" of Fibonacci. It is a critical area for determining the continuation of the trend or a potential reversal.
78.6% Retracement (Red Line): This level is closer to the 100% retracement and indicates a deeper pullback. It can represent an area of strong support or resistance.
100.0% (Purple Line): This level is equivalent to the recent low. It represents the full retracement or the lowest price point within the selected range.
127.2% Extension (Green Line): A Fibonacci extension level, indicating a potential area where price could extend beyond the previous high. This level often marks the beginning of a new trend or significant price movement.
161.8% Extension (Green Line): Another Fibonacci extension, marking an even further price projection. Traders use this level to forecast a continuation of the price movement in the direction of the prevailing trend.
Using the Indicator in Trading:
Identifying Support and Resistance: When the price approaches one of the key retracement levels (such as 38.2%, 50%, or 61.8%), traders often watch for signs of a reversal, like candlestick patterns or volume spikes, as these could indicate a potential entry or exit point.
Trend Continuation: If the price retraces to one of these levels and then continues in the direction of the trend, it can confirm that the trend is still intact. The extension levels (127.2% and 161.8%) help identify where the price may head next if the trend continues.
Breakout Zones: The extension levels can also act as breakout points. A price that surpasses the 100% level could indicate that the trend is gaining momentum, with potential for further movement beyond the 127.2% and 161.8% levels.
Chart Customization:
Color-Coded Fibonacci Levels: Each Fibonacci level is color-coded for easy identification:
Gray: 23.6% and 50.0% retracement levels
Blue: 38.2% retracement level
Yellow: 61.8% retracement level
Red: 78.6% retracement level
Purple: 100.0% level (the low of the range)
Green: 127.2% and 161.8% extension levels
The use of different colors allows for quick visual analysis, helping traders to distinguish between retracement and extension levels while identifying critical price zones on the chart.
Tips for Effective Use:
Monitor Price Action: Watch for price action signals like candlestick patterns, reversals, or trend-following indicators around these Fibonacci levels.
Combine with Other Indicators: To improve the reliability of the Fibonacci levels, combine them with other technical analysis tools such as moving averages, RSI, or MACD for confirmation of potential reversals or breakouts.
Adjust the Lookback Period: The lookback period can be adjusted to fit the time frame and asset being traded. A shorter lookback period may provide more sensitive levels, while a longer one may offer more reliable, long-term reference points.
This indicator is most useful when combined with your trading strategy to spot potential price points for reversals or continued movements.
COT Index + COT Report + Valuation Tool + SeasonalityThis powerful 4-in-1 indicator was designed for traders and analysts seeking a competitive edge by delving deeper into the market's layers. Instead of cluttering your chart with multiple scripts, this tool integrates four fundamental analyses into a single window, selectable via a simple dropdown menu.
What tools are included?
1. COT Index (Commitment of Traders Index):
An oscillator that normalizes data from the COT report to show the extreme positioning of large traders (Commercials, Large Speculators). It's ideal for identifying "overbought" or "oversold" conditions in market sentiment and anticipating potential price reversals.
2. COT Report (Commitment of Traders Report):
This shows the net positions (longs vs. shorts) of traders in their raw values. Unlike the index, this tool allows you to see the actual magnitude of the positioning and how it evolves, serving as an excellent trend confirmation.
3. Valuation Tool:
A relative value indicator that compares the performance of the current asset against three other key symbols (by default: DXY, Gold, and Bonds). It helps you visually determine if an asset is overvalued or undervalued in relation to the broader market, offering a unique perspective for your trades.
4. Seasonality:
Plots the average historical price pattern of the asset for a configurable number of years. This tool provides you with a "roadmap" of seasonal tendencies, allowing you to identify if the current price aligns with its historical behavior for a specific time of year.
How to use it?
1. Add the indicator to your chart.
2. Go to the indicator's settings (the ⚙️ gear icon).
3. In the "Choose Indicator to Display" dropdown menu, select the tool you want to view.
4. To see multiple tools at once, simply add the indicator to the chart multiple times and choose a different tool in each panel.
This indicator is ideal for swing traders, position traders, and macro analysts who wish to supplement their technical analysis with high-quality fundamental data.
ICT Suspension Block [tncylyv]ICT Suspension Block
Overview
This indicator identifies and highlights the "ICT Suspension Block," a specific three-candle pattern that signifies a potential area of support or resistance. It is designed to find temporary pauses or "suspensions" in price delivery, creating zones where the market may later return.
This tool is highly customizable, allowing you to focus on specific market conditions, sessions, and biases.
What is an ICT Suspension Block?
The Suspension Block is a nuanced 3-bar pattern that captures a very specific type of price action imbalance. Unlike a standard Fair Value Gap (FVG), it does not require a literal price gap. Instead, it's defined by the relationship between the opens and closes of three consecutive candles, all moving in the same direction.
• Bullish Suspension Block (+ SB) Conditions:
1. All three candles in the pattern must be bullish (close > open).
2. The close of the first candle must be below the open of the second candle.
3. The close of the second candle must be below the open of the third candle.
The resulting zone is drawn from the close of the first candle to the open of the third candle.
• Bearish Suspension Block (- SB) Conditions:
1. All three candles in the pattern must be bearish (close < open).
2. The close of the first candle must be above the open of the second candle.
3. The close of the second candle must be above the open of the third candle.
The resulting zone is drawn from the close of the first candle to the open of the third candle.
How to Use It
Suspension Blocks can be powerful tools when integrated into a broader trading strategy. They represent areas where price moved aggressively, leaving behind an inefficiently traded zone that the market may need to revisit.
• Potential Support & Resistance: A Bullish Suspension Block can act as a potential support level on a retest. Conversely, a Bearish Suspension Block can act as potential resistance.
• Entry Confluence: Look for price to retrace into a previously formed Suspension Block. The zone can provide a high-probability area to look for entries, especially when combined with other confluences like order blocks, breaker blocks, or higher timeframe market structure.
• Context is Key: The validity of a Suspension Block often depends on the market context. A block formed during a strong, impulsive move is typically more significant than one formed during choppy, consolidative price action.
Features & Settings
This indicator is designed to be flexible and adapt to your specific trading style.
• Show Blocks:
o Both: Display both Bullish and Bearish blocks.
o Bullish Only: Focus exclusively on potential support zones. Ideal for an uptrending market or when you have a bullish bias.
o Bearish Only: Focus exclusively on potential resistance zones. Ideal for a downtrending market or when you have a bearish bias.
• Max # of Blocks to Show:
o Avoid chart clutter by only displaying the most recent N blocks. This ensures you are always focused on the latest and most relevant zones.
• Time Filter (RTH Session):
o Enable Only Detect Inside RTH? to filter out patterns that form in low-volume, after-hours sessions. This helps ensure the zones you see were created during periods of significant market participation.
o The RTH session times and timezone are fully customizable.
• Customization:
o Adjust the colors for Bullish and Bearish blocks to match your chart's theme.
o Modify the text size of the + SB and - SB labels for better visibility.
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Disclaimer: This indicator is a tool for market analysis and should not be used as a standalone trading signal. Always use proper risk management and combine this tool with your own comprehensive trading strategy. Past performance is not indicative of future results.
Synthetic Implied APROverview
The Synthetic Implied APR is an artificial implied APR, designed to imitate the implied APR seen when trading cryptocurrency funding rates. It combines real-time funding rates with premium data to calculate an artificial market expectation of the annualized funding rate.
The (actual) implied APR is the market's expectation of the annualized funding rate. This is dependent on bid/ask impacts of the implied APR, something which is currently unavailable to fetch with TradingView. In essence, an implied APR of X% means traders believe that asset's funding fees to average X% when annualized.
What's important to understand, is that the actual value of the synthetic implied APR is not relevant. We only simply use its relative changes when we trade (i.e if it crosses above/below its MA for a given weight). Even for the same asset, the implied APRs will change depending on days to maturity.
How it calculates
The synthetic implied APR is calculated with these steps:
Collects premium data from perpetual futures markets using optimized lower timeframe requests (check my 'Predicted Funding Rates' indicator)
Calculates the funding rate by adding the premium to an interest rate component (clamped within exchange limits)
Derives the underlying APR from the 8-hour funding rate (funding rate × 3 × 365)
Apply a weighed formula that imitates both the direction (underlying APR) with the volatility of prices (from the premium index and funding)
premium_component = (prem_avg / 50 ) * 365
weighedprem = (weight * fr) + ((1 - weight) * apr) + (premium_component * 0.3)
impliedAPR = math.avg(weighedprem, ta.sma(apr, maLength))
How to use it: Generally
Preface: Funding rates are an indication of market sentiment
If funding is positive, generally the market is bullish as longs are willing to pay shorts funding
If funding is negative, generally the market is bearish as shorts are willing to pay longs funding
So, this script can be used like a typical oscillator:
Bullish: If implied APR > MA OR if implied APR MA is green
Bearish: If implied APR < MA OR if implied APR MA is red
The components:
Synthetic Implied APR: The main metric. At current setting of 0.7, it imitates volatility
Weight: The higher the value, the smoother the synthetic implied APR is (and MA too). This value is very important to the imitation. At 0.7, it imitates the actual volatility of the implied APR. At weight = 1, it becomes very smooth. Perfect for trading
Synthetic Implied APR Moving Average: A moving average of the Synthetic implied APR. Can choose from multiple selections, (SMA, EMA, WMA, HMA, VWMA, RMA)
How to use it: Trading Funding
When trading funding there're multiple ways to use it with different settings
Trade funding rates with trend changes
Settings: Weight = 1
Method 1: When the implied APR MA turns green, long funding rates (or short if red)
Method 2: When the implied APR crosses above the MA, long funding rates (or short when crosses below)
Trade funding rates with MA pullbacks
Settings: Weight = 0.7, timeframe 15m
In an uptrend: When implied APR crosses below then above the script, long funding opportunity
In an downtrend: When implied APR crosses above then below the script, shortfunding opportunity
You can determine the trend with the method before, using a weight of 1
To trade funding rates, it's best to have these 3 scripts at these settings:
Predicted Funding Rates: This allows you to see the predicted funding rates and see if they've maxxed out for added confluence too (+/-0.01% usually for Binance BTC futures)
Synthetic implied APR: At weight 1, the MA provides a good trend (whether close above/below or colour change)
Synthetic implied APR: At weight 0.7, it provides a good imitation of volatility
How to use it: Trading Futures
When trading futures:
You can determine roughly what the trend is, if the assumption is made that funding rates can help identify trends if used as a sentiment indicator. It should be supplemented with traditional trend trading methods
To prevent whipsaws, weight should remain high
Long trend: When the implied APR MA turns green OR when it crosses above its MA
Short trend: When the implied APR MA turns red OR when it below above its MA
Why it's original
This indicator introduces a unique synthetic weighting system that combines funding rates, underlying APR, and premium components in a way not found in existing TradingView scripts. Trading funding rates is a niche area, there aren't that many scripts currently available. And to my knowledge, there's no synthetic implied APR scripts available on TradingView either. So I believe this script to be original in that sense.
Notes
Because it depends on my triangular weighting algos, optimal accuracy is found on timeframes that are 4H or less. On higher timeframes, the accuracy drops off. Best timeframes for intraday trading using this are 15m or 1 hour
The higher the timeframe, the lower the MA one should use. At 1 hour, 200 or higher is best. At say, 4h, length of 50 is best
Only works for coins that have a Binance premium index
Inputs
Funding Period - Select between "1 Hour" or "8 Hour" funding cycles. 8 hours is standard for Binance
Table - Toggle the information dashboard on/off to show or hide real-time metrics including funding rate, premium, and APR value
Weight - Controls the balance between funding rate (higher values = smoother) and APR (lower values = more responsive) in the calculation, ranging from 0.0 to 1.0. Default is 0.7, this imitates the volatility
Auto Timeframe Implied Length - Automatically calculates optimal smoothing length based on your chart timeframe for consistent behavior across different time periods
Manual Implied Length - Sets a fixed smoothing length (in bars) when auto mode is disabled, with lower values being more responsive and higher values being smoother
Show Implied APR MA - Displays an additional moving average line of the Synthetic Implied APR to help identify trend direction and crossover signals
MA Type for Implied APR - Selects the calculation method (SMA, EMA, WMA, HMA, VWMA, or RMA) for the moving average, each offering different responsiveness and lag characteristics
MA Length for Implied APR - Sets the lookback period (1-500 bars) for the moving average, with shorter lengths providing more signals and longer lengths filtering noise
Show Underlying APR - Displays the raw APR calculation (without synthetic weighting) as a reference line to compare against the main indicator
Bullish Color - Sets the color for positive values in the table and rising MA line
Bearish Color - Sets the color for negative values in the table and falling MA line
Table Background - Customizes the background color and transparency of the information dashboard
Table Text Color - Sets the color for label text in the left column of the information table
Table Text Size - Controls the font size of table text with options from Tiny to Huge
ICT Venom Trading Model [TradingFinder] SMC NY Session 2025SetupIntroduction
The ICT Venom Model is one of the most advanced strategies in the ICT framework, designed for intraday trading on major US indices such as US100, US30, and US500. This model is rooted in liquidity theory, time and price dynamics, and institutional order flow.
The Venom Model focuses on detecting Liquidity Sweeps, identifying Fair Value Gaps (FVG), and analyzing Market Structure Shifts (MSS). By combining these ICT core concepts, traders can filter false breakouts, capture sharp reversals, and align their entries with the real institutional liquidity flow during the New York Session.
Key Highlights of ICT Venom Model :
Intraday focus : Optimized for US indices (US100, US30, US500).
Time element : Critical window is 08:00–09:30 AM (Venom Box).
Liquidity sweep logic : Price grabs liquidity at 09:30 AM open.
Confirmation tools : MSS, CISD, FVG, and Order Blocks.
Dual setups : Works in both Bullish Venom and Bearish Venom conditions.
At its core, the ICT Venom Strategy is a framework that explains how institutional players manipulate liquidity pools by engineering false breakouts around the initial range of the market. Between 08:00 and 09:30 AM New York time, a range called the “Venom Box” is formed.
This range acts as a trap for retail traders, and once the 09:30 AM market open occurs, price usually sweeps either the high or the low of this box to collect stop-loss liquidity. After this liquidity grab, the market often reverses sharply, giving birth to a classic Bullish Venom Setup or Bearish Venom Setup
The Venom Model (ICT Venom Trading Strategy) is not just a pattern recognition tool but a precise institutional trading model based on time, liquidity, and market structure. By understanding the Initial Balance Range, watching for Liquidity Sweeps, and entering trades from FVG zones or Order Blocks, traders can anticipate market reversals with high accuracy. This strategy is widely respected among ICT followers because it offers both risk management discipline and clear entry/exit conditions. In short, the Venom Model transforms liquidity manipulation into actionable trading opportunities.
Bullish Setup :
Bearish Setup :
🔵 How to Use
The ICT Venom Model is applied by observing price behavior during the early hours of the New York session. The first step is to define the Initial Range, also called the Venom Box, which is formed between 08:00 and 09:30 AM EST. This range marks the high and low points where institutional traders often create traps for retail participants. Once the official market opens at 09:30 AM, price usually sweeps either the top or bottom of this box to collect liquidity.
After this liquidity grab, the market tends to reverse in alignment with the true directional bias. To confirm the setup, traders look for signals such as a Market Structure Shift (MSS), Change in State of Delivery (CISD), or the appearance of a Fair Value Gap (FVG). These elements validate the reversal and provide precise levels for trade execution.
🟣 Bullish Setup
In a Bullish Venom Setup, the market first sweeps the low of the Venom Box after 09:30 AM, triggering sell-side liquidity collection. This downward move is often sharp and deceptive, designed to stop out retail long positions and attract new sellers. Once liquidity is taken, the market typically shifts direction, forming an MSS or CISD that signals a reversal to the upside.
Traders then wait for price to retrace into a Fair Value Gap or a demand-side Order Block created during the reversal leg. This retracement offers the ideal entry point for long positions. Stop-loss placement should be just below the liquidity sweep low, while profit targets are set at the Venom Box high and, if momentum continues, at higher session or daily highs.
🟣 Bearish Setup
In a Bearish Venom Setup, the process is similar but reversed. After the Initial Range is defined, if price breaks above the Venom Box high following the 09:30 AM open, it signals a false breakout designed to collect buy-side liquidity. This move usually traps eager buyers and clears out stop-losses above the high.
After the liquidity sweep, confirmation comes through an MSS or CISD pointing to a reversal downward. At this stage, traders anticipate a retracement into a Fair Value Gap or a supply-side Order Block formed during the reversal. Short entries are taken within this zone, with stop-loss positioned just above the liquidity sweep high. The logical profit targets include the Venom Box low and, in stronger bearish momentum, deeper session or daily lows.
🔵 Settings
Refine Order Block : Enables finer adjustments to Order Block levels for more accurate price responses.
Mitigation Level OB : Allows users to set specific reaction points within an Order Block, including: Proximal: Closest level to the current price. 50% OB: Midpoint of the Order Block. Distal: Farthest level from the current price.
FVG Filter : The Judas Swing indicator includes a filter for Fair Value Gap (FVG), allowing different filtering based on FVG width: FVG Filter Type: Can be set to "Very Aggressive," "Aggressive," "Defensive," or "Very Defensive." Higher defensiveness narrows the FVG width, focusing on narrower gaps.
Mitigation Level FVG : Like the Order Block, you can set price reaction levels for FVG with options such as Proximal, 50% OB, and Distal.
CISD : The Bar Back Check option enables traders to specify the number of past candles checked for identifying the CISD Level, enhancing CISD Level accuracy on the chart.
🔵 Conclusion
The ICT Venom Model is more than just a reversal setup; it is a complete intraday trading framework that blends liquidity theory, time precision, and market structure analysis. By focusing on the Initial Range between 08:00 and 09:30 AM New York time and observing how price reacts at the 09:30 AM open, traders can identify liquidity sweeps that reveal institutional intentions.
Whether in a Bullish Venom Setup or a Bearish Venom Setup, the model allows for precise entries through Fair Value Gaps (FVGs) and Order Blocks, while maintaining clear risk management with well-defined stop-loss and target levels.
Ultimately, the ICT Venom Model provides traders with a structured way to filter false moves and align their trades with institutional order flow. Its strength lies in transforming liquidity manipulation into actionable opportunities, giving intraday traders an edge in timing, accuracy, and consistency. For those who master its logic, the Venom Model becomes not only a strategy for entry and exit, but also a deeper framework for understanding how liquidity truly drives price in the New York session.
Normalized WMA Oscillator | OquantNormalized WMA Oscillator | Oquant
The Normalized WMA Oscillator is a trend-momentum indicator designed to help traders visualize the relative position of a Weighted Moving Average (WMA) within its recent price range.
What is a WMA and How It Works:
A Weighted Moving Average (WMA) is a type of moving average that gives more weight to recent price data, making it more responsive to price changes compared to a simple moving average. Each price point in the lookback period is multiplied by a weighting factor, with the most recent prices having the highest weights. The WMA helps traders identify potential trends more quickly.
This indicator applies min-max normalization to the standard WMA, scaling its values between 0 and 1 over a configurable lookback period. This allows traders to see whether the WMA is near its recent highs, lows, or midpoint, regardless of the absolute price level.
Key Features:
WMA Source Input: Choose price source for wma calculation.
Customizable WMA Length: Adjust the sensitivity of the WMA.
Min-Max Normalization Length: Smooth the scaling of WMA values between 0 and 1.
Signal Thresholds: Configurable upper and lower thresholds to indicate potential entries.
Visual Alerts: Color-coded oscillator and candles plot for bullish (green) and bearish (purple) signals.
Alerts Ready: Built-in alert conditions for crossovers and crossunders of the oscillator.
How It Works:
Calculate the WMA on the selected source.
Normalize its value using the minimum and maximum WMA values over the specified lookback period.
Generate long signals when the normalized WMA moves above the upper threshold, and short signals when it moves below the lower threshold.
Plot the oscillator and candles in green for bullish signals and purple for bearish signals.
Inputs:
Source: Data used for WMA calculation.
WMA Length: Period for Weighted Moving Average.
Min-Max Length: Lookback period for min-max scaling.
Upper Threshold: Level above which a long signal is considered.
Lower Threshold: Level below which a short signal is considered.
⚠️ Disclaimer: This indicator is intended for educational and informational purposes only. Trading/investing involves risk, and past performance does not guarantee future results. Always test and evaluate indicators/strategies before applying them in live markets. Use at your own risk.
Power Hour Breakout Signals [LuxAlgo]The Power Hour Breakout tool helps traders identify key price levels from the Power Hour and spot breakouts from those levels easily. This tool features Power Hour extensions, Fibonacci levels, and session break marks for the trader's convenience.
🔶 USAGE
The Power Hour is defined as the last hour of the trading session and is set by default from 3:00 p.m. to 4:00 p.m. New York time. During this period, volume and volatility enter the market. Traders using higher timeframes may use this period to enter or exit positions by placing MOC (Market on Close) orders.
This tool highlights the Power Hour and the top and bottom price levels. Each time prices break out from these levels, a signal is displayed on the chart.
We can use the Power Hour to gauge market sentiment:
Bullish sentiment: Price trades above the Power Hour.
Mixed sentiment: Price trades within the Power Hour.
Bearish sentiment: Price trades below the Power Hour.
🔹 Displaying Power Hours and Breakouts
By default, all detected Power Hours are displayed. Traders can manually adjust this number by disabling the "Display All" parameter in the Settings panel.
Breakouts are displayed by default, too, but this feature can be disabled as well.
The chart above shows different configurations of these parameters.
🔹 Power Hour Extensions
Traders can use Power Hour extensions as potential targets for breakout signals.
In the settings panel, traders can select the percentage of the Power Hour price range to use for each extension. For example, 100% uses the full range, 200% uses the range twice, and so on.
As seen on the chart, traders can configure different percentages for the top and bottom extensions.
🔹 Fibonacci Levels
Traders can display default or custom Fibonacci levels on the Power Hour range to identify retracement opportunities and evaluate market movement strength. Each level can be enabled or disabled, as well as customized by level, color, and line style.
For example, as we can see on the chart, prices attempt to break out at the Power Hour top level, then retrace to the 0.618 Fibonacci level, and then rise to the 200% Power Hour top extension.
🔶 SETTINGS
Display Last X Power Hours: Select how many Power Hours to display or enable the Display All feature.
Power Hour (NY Time): Choose a custom Power Hour in New York time.
🔹 Breakouts
Breakouts: Enable or disable breakouts.
Bullish Breakout: Select color for bullish breakouts.
Bearish Breakout: Select color for bearish breakouts.
🔹 Extensions
Top Extension: Enable or disable the top extension and choose the percentage of Power Hour to use.
Bottom extension: Enable or disable the bottom extension and choose the percentage of Power Hour to use.
🔹 Fibonacci Levels
Display Fibonacci: Enable or disable Fibonacci levels.
Reverse: Reverse Fibonacci levels.
Levels, Colors & Style
Display Labels: Enable or disable labels and choose text size.
🔹 Style
Power Hour Colors
Extension Transparency: Choose the extension's transparency. 0 is solid, and 100 is fully transparent.
Session Breaks: Enable or disable session breaks.
Bayesian Trend Navigator [QuantAlgo]🟢 Overview
The Bayesian Trend Navigator uses Bayesian statistics to continuously update trend probabilities by combining long-term expectations (prior beliefs) and short-term observations (likelihood evidence), rather than relying solely on recent price data like many conventional indicators. This mathematical framework produces robust directional signals that naturally balance responsiveness with stability, making it suitable for traders and investors seeking statistically-grounded trend identification across diverse market environments and asset types.
🟢 How It Works
The indicator operates on Bayesian inference principles, a statistical method for updating beliefs when new evidence emerges. The system begins by establishing a prior belief - a long-term trend expectation calculated from historical price behavior. This represents the "baseline hypothesis" about market direction before considering recent developments.
Simultaneously, the algorithm collects recent market evidence through short-term trend analysis, representing the likelihood component. This captures what current price action suggests about directional momentum independent of historical context.
The core Bayesian engine then combines these elements using conjugate normal distributions and precision weighting. It calculates prior precision (inverse variance) and likelihood precision, combining them to determine a posterior precision. The resulting posterior mean represents the mathematically optimal trend estimate given both historical patterns and current reality. This posterior calculation includes intervals derived from the posterior variance, providing probabilistic confidence bounds around the trend estimate.
Finally, volatility-based standard deviation bands create adaptive boundaries around the Bayesian estimate. The trend line adjusts within these constraints, generating color transitions between bullish (green) and bearish (red) states when the posterior calculation crosses these probabilistic thresholds.
🟢 How to Use
Green/Bullish Trend Line: Posterior probability favoring upward momentum, indicating statistically favorable conditions for long positions (buy)
Red/Bearish Trend Line: Posterior probability favoring downward momentum, signaling mathematically supported timing for short positions (sell)
Rising Green Line: Strengthening bullish posterior as new evidence reinforces upward beliefs, showing increasing probabilistic confidence in trend continuation with favorable long entry conditions
Declining Red Line: Intensifying bearish posterior with accumulating downside evidence, indicating growing statistical certainty in downtrend persistence and optimal short positioning opportunities
Flattening Trends: Diminishing posterior confidence regardless of color suggests equilibrium between prior beliefs and contradictory evidence, potentially signaling consolidation or insufficient statistical clarity for high-conviction trades
🟢 Pro Tips for Trading and Investing
→ Preset Configuration Strategy: Deploy presets based on your trading horizon - Scalping preset maximizes evidence weight (0.8) for rapid Bayesian updates on 1-15 minute charts, Default preset balances prior and likelihood for general applications, while Swing Trading preset equalizes weights (0.5/0.5) for stable inference on hourly and daily timeframes.
→ Prior Weight Adjustment: Calibrate prior weight according to market regime - increase values (0.5-0.7) in stable trending markets where historical patterns remain predictive, decrease values (0.2-0.3) during regime changes or news-driven volatility when recent evidence should dominate the posterior calculation.
→ Evidence Period Tuning: Modify the evidence period based on information flow velocity. Use shorter periods (5-8 bars) for assets with continuous price discovery like cryptocurrencies, medium periods (10-15) for liquid stocks, and longer periods (15-20) for slower-moving markets to ensure adequate likelihood sample size.
→ Likelihood Weight Optimization: Adjust likelihood weight inversely to market noise levels. Higher values (0.7-0.8) work well in clean trending conditions where recent data is reliable, while lower values (0.4-0.6) help during choppy periods by maintaining stronger reliance on established prior beliefs.
→ Multi-Timeframe Bayesian Confluence: Apply the indicator across multiple timeframes, using higher timeframes (Daily/Weekly) to establish prior belief direction and lower timeframes (Hourly/15-minute) for likelihood-driven entry timing, ensuring posterior probabilities align across temporal scales for maximum statistical confidence.
→ Standard Deviation Multiplier Management: Adapt the multiplier to match current uncertainty levels. Use tighter multipliers (1.0-1.5) during low-volatility consolidations to capture early trend emergence, and wider multipliers (2.0-2.5) during high-volatility events to avoid premature signals caused by statistical noise rather than genuine posterior shifts.
→ Variance-Based Position Sizing: Monitor the implicit posterior variance through trend line stability - smooth consistent movements indicate low uncertainty warranting larger positions, while erratic fluctuations suggest high statistical uncertainty calling for reduced exposure until clearer probabilistic convergence emerges.
→ Alert-Based Probabilistic Execution: Utilize trend change alerts to capture every statistically significant posterior shift from bullish to bearish states or vice versa without constantly monitoring the charts.
Quantile-Based Adaptive Detection🙏🏻 Dedicated to John Tukey. He invented the boxplot, and I finalized it.
QBAD (Quantile-Based Adaptive Detection) is ‘the’ adaptive (also optionally weighted = ready for timeseries) boxplot with more senseful fences. Instead of hardcoded multipliers for outer fences, I base em on a set of quantile-based asymmetry metrics (you can view it as an ‘algorithmic’ counter part of central & standardized moments). So outer bands are Not hardcoded, not optimized, not cross-validated etc, simply calculated at O(nlogn).
You can use it literally everywhere in any context with any continuous data, in any task that requires statistical control, novelty || outlier detection, without worrying and doubting the sense in arbitrary chosen thresholds. Obviously, given the robust nature of quantiles, it would fit best the cases where data has problems.
The thresholds are:
Basis: the model of the data (median in our case);
Deviations: represent typical spread around basis, together form “value” in general sense;
Extensions: estimate data’s extremums via combination of quantile-based asymmetry metrics without relying on actual blunt min and max, together form “range” / ”frame”. Datapoints outside the frame/range are novelties or outliers;
Limits: based also on quantile asymmetry metrics, estimate the bounds within which values can ‘ever’ emerge given the current data generating process stays the same, together form “field”. Datapoints outside the field are very rare, happen when a significant change/structural break happens in current data-generating process, or when a corrupt datapoint emerges.
…
The first part of the post is for locals xd, the second is for the wanderers/wizards/creators/:
First part:
In terms of markets, mostly u gotta worry about dem instruments that represent crypto & FX assets: it’s either activity hence data sources there are decentralized, or data is fishy.
For a higher algocomplexity cost O(nlong), unlike MBAD that is 0(n), this thing (a control system in fact) works better with ishy data (contaminated with wrong values, incomplete, missing values etc). Read about the “ breakdown point of an estimator ” if you wanna understand it.
Even with good data, in cases when you have multiple instruments that represent the same asset, e.g. CL and BRN futures, and for some reason you wanna skip constructing a proper index of em (while you should), QBAD should be better put on each instrument individually.
Another reason to use this algo-based rather than math-based tool, might be in cases when data quality is all good, but the actual causal processes that generate the data are a bit inconsistent and/or possess ‘increased’ activity in a way. SO in high volatility periods, this tool should provide better.
In terms of built-ins you got 2 weightings: by sequence and by inferred volume delta. The former should be ‘On’ all the time when you work with timeseries, unless for a reason you want to consciously turn it off for a reason. The latter, you gotta keep it ‘On’ unless you apply the tool on another dataset that ain’t got that particular additional dimension.
Ain’t matter the way you gonna use it, moving windows, cumulative windows with or without anchors, that’s your freedom of will, but some stuff stays the same:
Basis and deviations are “value” levels. From process control perspective, if you pls, it makes sense to Not only fade or push based on these levels, but to also do nothing when things are ambiguous and/or don’t require your intervention
Extensions and limits are extreme levels. Here you either push or fade, doing nothing is not an option, these are decisive points in all the meanings
Another important thing, lately I started to see one kind of trend here on tradingview as well and in general in near quant sources, of applying averages, percentiles etc ‘on’ other stationary metrics, so called “indicators”. And I mean not for diagnostic or development reasons, for decision making xd
This is not the evil crime ofc, but hillbilly af, cuz the metrics are stationary it means that you can model em, fit a distribution, like do smth sharper. Worst case you have Bayesian statistics armed with high density intervals and equal tail intervals, and even some others. All this stuff is not hard to do, if u aint’t doing it, it’s on you.
So what I’m saying is it makes sense to apply QBAD on returns ‘of your strategy’, on volume delta, but Not on other metrics that already do calculations over their own moving windows.
...
Second part:
Looks like some finna start to have lil suspicions, that ‘maybe’ after all math entities in reality are more like blueprints, while actual representations are physical/mechanical/algorithmic. Std & centralized moments is a math entity that represents location, scale & asymmetry info, and we can use it no problem, when things are legit and consistent especially. Real world stuff tho sometimes deviates from that ideal, so we need smth more handy and real. Add to the mix the algo counter part of means: quantiles.
Unlike the legacy quantile-based asymmetry metrics from the previous century (check quantile skewness & kurtosis), I don’t use arbitrary sets of quantiles, instead we get a binary pattern that is totally geometric & natural (check the code if interested, I made it very damn explicit). In spirit with math based central & standardized moments, each consequent pair is wider empathizing tail info more and more for each higher order metric.
Unlike the classic box plot, where inner thresholds are quartiles and the rest are based on em, here the basis is median (minimises L1), I base inner thresholds on it, and we continue the pattern by basing the further set of levels on the previous set. So unlike the classic box plot, here we have coherency in construction, symmetry.
Another thing to pay attention to, tho for some reason ain’t many talk about it, it’s not conceptually right to think that “you got data and you apply std moments on it”. No, you apply it to ‘centered around smth’ data. That ‘smth’ should minimize L2 error in case of math, L1 error in case of algo, and L0 error in case of learning/MLish/optimizational/whatever-you-cal-it stuff. So in the case of L0, that’s actually the ‘mode’ of KDE, but that’s for another time. Anyways, in case of L2 it’s mean, so we center data around mean, and apply std moments on residuals. That’s the precise way of framing it. If you understand this, suddenly very interesting details like 0th and 1st central moments start to make sense. In case of quantiles, we center data around the median, and do further processing on residuals, same.
Oth moment (I call it init) is always 1, tho it’s interesting to extrapolate backwards the sequence for higher order moments construction, to understand how we actually end up with this zero.
1st moment (I call it bias) of residuals would be zero if you match centering and residuals analysis methods. But for some reason you didn’t do that (e.g centered data around midhinge or mean and applied QBAD on the centered data), you have to account for that bias.
Realizing stuff > understanding stuff
Learning 2981234 human invented fields < realizing the same unified principles how the Universe works
∞
Tragad00TanTechTrades — Trendilo with Moving Average + Divergences (Tragad00)
Inspired by Trendilo, this oscillator reworks the original logic and adds:
A selectable Moving Average (SMA/EMA/WMA/SMMA/VWMA) applied to the oscillator itself
Adaptive bands for overbought/oversold zones
Regular bullish & bearish divergence detection with labels
A full set of alert conditions for signals and state changes
What it does
This indicator transforms price into an ALMA-smoothed percent-change oscillator and compares it to an adaptive volatility band:
Oscillator (avpch)
Computes % change of your chosen Source, optionally smoothed, then smooths it again with ALMA (length, offset, sigma).
Adaptive bands (±rms)
Uses a root-mean-square of the oscillator over a band length (Lookback or custom) scaled by Band Multiplier.
Values above +rms suggest overbought pressure; below −rms suggest oversold pressure.
Trend coloring
Line (and optional bars) turn lime when avpch > +rms, red when avpch < −rms, and gray otherwise.
Optional fill highlights the dominant side.
Overlay MA on the oscillator
A selectable MA of the oscillator (maPlot) helps time signals relative to the Trendilo line.
Regular Divergences
Bullish: price makes a lower low while the oscillator makes a higher low.
Bearish: price makes a higher high while the oscillator makes a lower high.
Lookback windows are configurable and divergence labels are plotted on the oscillator.
Signals & how to read them
Trend Bias
Bull Zone: avpch above +rms (lime)
Bear Zone: avpch below −rms (red)
Neutral: between the bands (gray)
Cross Signals
Long Entry: MA crosses above the Trendilo line (maPlot ↑ over avpch)
Short Entry: MA crosses below the Trendilo line (maPlot ↓ under avpch)
Midline Cross: avpch crossing 0 flags shifts in momentum regime
Divergences
Bullish Divergence label (“Bull”) may mark potential bottoms
Bearish Divergence label (“Bear”) may mark potential tops
Tip: Combine divergence with a subsequent midline cross or MA cross for confirmation.
Alerts included (ready to use)
Overbought / No Longer Overbought
Oversold / No Longer Oversold
Long Entry (MA crosses above Trendilo)
Short Entry (MA crosses below Trendilo)
Midline Cross Up / Midline Cross Down
Bullish Divergence / Bearish Divergence
Set alerts from the “Conditions” menu using the titles above.
Inputs
Core
Source (default: Close)
Smoothing (pre-change smoothing)
Lookback (ALMA length)
ALMA Offset, ALMA Sigma
Band Multiplier
Custom Band Length? + Custom Band Length
Display: Highlight, Fill, Bar Color
Oscillator MA
MA Length
MA Type: SMA / EMA / WMA / SMMA (RMA) / VWMA
Divergences
Pivot Lookback Left / Right
Max/Min Lookback Range (window for valid pivots)
Plot Bullish Divergence / Plot Bearish Divergence
Suggested workflow
Trend context: Use band color (lime/red) to gauge dominant pressure.
Timing: Look for MA ↔ Trendilo crosses in the direction of the current zone.
Reversals: Watch for divergence labels; seek confirmation via midline (0) cross or a band exit.
Risk: Overbought/oversold alerts can warn of exhaustion—tighten stops or scale out.
Notes & credits
Built by TanTechTrades.
Inspired by the Trendilo concept; this version focuses on an ALMA-smoothed percent-change oscillator with adaptive RMS bands, an oscillator MA, and regular divergence detection.
This is a tool, not financial advice. Always combine with price action, structure, and risk management.
Extended from EMAIt highlights candles which have become extended from EMA. It could be used to protect profits in parabolic moves or when the script becomes too extended.
OSIS/EDM/LETOSIS, Premium discount & Mid High low Bounce ligne
LET, Equilibrium Bounce ligne
EDM, Divergence price action, Reversal & Continuation
ICT Multi-Timeframe Market Structure Tracker [SwissAlgo]ICT Multi-Timeframe Market Structure Tracker
Tracks the ICT market structure across three core timeframes (1-Week, 1-Day, 1-Hour) simultaneously.
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Why this Indicator?
You know market structure matters, whether you trade stocks, Forex, commodities, or crypto.
You've studied ICT concepts - " Change of Character ", " Break of Structure ", " Premium/discount zones ". You understand that multi-timeframe alignment is where the edge lives.
But here's what's probably happening while you apply the ICT concepts for your trading decisions:
You're manually drawing structural highs and lows across three timeframes
You're calculating Fibonacci retracements by hand for each timeframe
You're switching between weekly, daily, and hourly charts, trying to remember where each pivot was, trying to detect the critical events you're waiting for
By the time you've mapped it all out, the setup is gone. Or worse, you missed that the 1-hour just broke the structure while you were checking the weekly bias.
What about seeing all three timeframes at once instead? You need to know immediately when the price enters a premium or discount zone. You need alerts that fire when structure breaks or character changes - across all timeframes - without babysitting your screen.
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The Indicator, at a Glance
This indicator:
tracks ICT market structure across three core timeframes (1-Week, 1-Day, 1-Hour) simultaneously .
automatically plots Fibonacci retracement levels from your defined structural pivots
monitors price position (during retracements) in real-time
sends consolidated alerts when actionable events occur on any timeframe
The 1-Week View: Mid-Term Trend Bias for lower timeframes
The 1-Day View: Swings nested within the 1-Week Structure
The 1-Hour View: Swings nested within the 1-Day Structure
One glance tells you:
* Current trend direction per timeframe
* Exact Fib zone price is trading right now
* Whether the structure just broke or the character changed
* If you're in a potential long/short setup zone
The indicator helps you reduce chart-hopping, manual calculations, and minimize the missed structural shifts.
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Who is this for?
This tool is built for day traders who understand ICT concepts and need efficient multi-timeframe structure tracking. If you know what a Change of Character is, why 0.382-0.5 retracements matter in uptrends, and how to trade external structure, this indicator eliminates the manual structure tracking so you can focus on confirming and executing your trading tactics.
New to ICT? This indicator assumes foundational knowledge of the Inner Circle Trader methodology developed by Michael J. Huddleston. Before using this tool, familiarize yourself with concepts like market structure breaks, premium/discount arrays, and liquidity engineering. The ICT framework offers a unique perspective on institutional order flow and price action - but this indicator is designed for those already applying these concepts, not learning them for the first time.
Critical Skill Required : You must understand the difference between external structure (key swing highs/lows that define market direction) and internal structure (minor fluctuations within the range).
Selecting incorrect pivots - such as marking internal noise instead of true structural points - will generate false signals and undermine the entire analysis. This indicator tracks structure based on YOUR inputs. If those inputs are wrong, every Fibonacci level, alert, and bias signal will be wrong. Learn to identify clean structural breaks before using this tool.
Trading Experience Matters: This tool tracks structure and fires alerts, but interpreting those signals requires understanding context, confluences, and risk management. If you're early in your trading journey, consider this a professional-grade instrument that becomes powerful once you have the conceptual foundation to use it effectively.
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How It Works
Step 1: Define Your Structure
You, the ICT expert or student, define the structural high and low for each timeframe, with their exact dates. This empowers you to control the analysis.
Based on your entries, the indicator establishes trend direction by timeframe and calculates Fibonacci retracement levels automatically.
* Structural High/Low: Key swing points that define external structure per ICT methodology
* Auto-Validation: Built-in autoscan feature confirms your pivot entries match actual price extremes
* Deterministic Behavior: Date stamps ensure the indicator behaves consistently across all sessions
Step 2: Monitor The Tables
Two tables provide a structural context:
Multi-Timeframe Analysis Table (top-right):
Current close, high, low, and 0.5 Fib for all three timeframes
Trend direction (↑/↓)
Days since structure established (i.e., "age" or maturity)
Current Fibonacci zone
Real-time alerts: Trend changes, breakouts, and trade bias signals
Detailed Fibonacci Table (middle-right):
All nine Fib retracement levels (1.0 to 0.0) for the selected timeframe
Exact price at each level
Percentage distance from current price
Visual marker showing current position
Step 3: Monitor The Chart
Visual elements show structure at a glance:
Fibonacci Retracement Zones: Color-coded bands show premium (red), discount (green), and equilibrium (gray) areas based on trend direction
Structural Lines: Red (high) and green (low) horizontal lines mark your defined pivots with automatic fill showing the current range (based on higher timeframe pivots)
Pivot Dots: Optional small markers highlight potential structural turning points on your current timeframe (reference only - always validate pivots yourself)
Trend Indicator: Top-center banner displays the selected timeframe's current trend
Auto-pivot points
Step 4: Get Alerts and Decide the Way Forward
Set one alert on the 1-hour chart only (if you set the alert on other timeframes, you may get delayed feedback).
You'll receive notifications when ANY of these events occur on ANY timeframe:
* Change of Character (ChoC): Trend reversal confirmed by price breaking the opposite structural level
* Break of Structure (BoS): Continuation confirmed by price breaking the same-direction structural level
* Trade Bias Signals: Price entering key Fibonacci zones (0.382-0.5 for longs in uptrend, 0.5-0.618 for shorts in downtrend, with + and ++ variants for deeper retracements)
* Reversal Warnings: Price entering extreme zones (0.882-1.0 or 0.0-0.118), suggesting potential trend exhaustion and reversal towards the opposite direction
All alerts fire once per bar close with a consolidated message showing which timeframes triggered and what conditions were met.
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Understanding the 3 Timeframes Hierarchy
The three timeframes may be conceived as nested layers of structure:
* 1-Week (Macro Bias) : May help you determine your core directional bias (long/short) in a mid-term perspective. The 1-Week TF may operate as your highest-conviction filter and help you contextualize shorter-term market moves (which may align or misalign with the trend appearing on such a timeframe).
* 1-Day (Swing Structure) : Operates within the weekly range. The daily structure can contradict the weekly structure temporarily (due to retracements, consolidations). This is where you may identify intermediate swing opportunities.
* 1-Hour (Execution Structure) : Operates within the daily range. It may help you identify entry timing and short-term bias. Can show opposite trends during retracements, and some traders look for alignment with higher timeframes as part of their setup criteria.
Example: Weekly uptrend (bullish bias) → Daily pulls back into downtrend (retracement phase) → Hourly shows uptrend resumption (this may be interpreted as an entry signal). All three trends can differ simultaneously, but when all three align (in one direction or another), you may start evaluating your moves.
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Using the Tool effectively
When this indicator signals a potential setup (entering key Fibonacci zones, structure breaks, or bias shifts), treat it as a starting point for deeper analysis, not a direct entry signal.
Before executing, consider using additional tools to refine timing:
Fair Value Gaps (FVG) : Identify imbalances where the price moved too quickly, leaving potential fill zones
Order Blocks : Locate the last opposing candle before a strong move - often institutional entry points
Liquidity Zones : Map where stop losses likely cluster (equal highs/lows, round numbers)
Premium/Discount Confirmation: Verify you're buying at a discount or selling at a premium relative to the current range
Session Timing/Kill Zones : Align entries with high-liquidity sessions (London/New York opens)
This indicator shows you where the structure sits and when it shifts. Your job is to combine that context with precise entry models. The alerts narrow your focus to high-probability zones - then you apply your edge within those zones.
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How to Set Up Alerts
This indicator monitors all three timeframes simultaneously and fires consolidated alerts when any condition triggers. Follow these steps to configure alerts properly:
Step 1: Set Your Chart to the 1-Hour Timeframe
Alerts must be created on the 1-hour chart for optimal timing
Do not use higher timeframes (4H, 1D, 1W) or alerts may be delayed
Lower timeframes (15M, 5M) will work but may generate more frequent notifications
Step 2: Open the Alert Menu
Click the "Alert" button (clock icon) in the top toolbar
Or use keyboard shortcut: Alt+A (Windows) / Option+A (Mac)
Step 3: Configure Alert Settings
Condition: Select "ICT Multi-Timeframe Market Structure Tracker "
Alert Type: Choose "Any alert() function call"
Options: Select "Once Per Bar Close"
Expiration: Set to "Open-ended alert" (no expiration)
Alert Name: Choose a descriptive name (e.g., "BTC Market Structure Alerts")
Step 4: Configure Notifications
Notification Methods: Check your preferred channels (app notification, email, webhook, etc.)
Sound: Optional — choose alert sound if desired
Step 5: Create Alert
Click the "Create" button
Alert is now active and will monitor all three timeframes
Important Notes:
You only need ONE alert setup total — it monitors 1W, 1D, and 1H simultaneously
Alert messages show which timeframe(s) triggered and what conditions were met
Alerts fire once per bar close to avoid mid-bar noise
If you change your structural pivot inputs, the alert continues working with new parameters
Example Alert Message:
BTC Market Structure Alert:
🟢 1D Bullish BoS
📈 1H Long Setup (0.382-0.5)
This tells you the 1-Day broke structure bullishly AND the 1-Hour entered a long setup zone — both events happened on the same bar close.
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Key Features
* Tracks 1-Week, 1-Day, and 1-Hour structure simultaneously
* Automatic Fibonacci retracement calculation (9 levels + extensions up or down, depending on timeframe trend)
* Real-time Change of Character and Break of Structure detection
* Color-coded premium/discount zone visualization
* Multi-condition alerts across all timeframes (single alert setup required)
* Autoscan validation to confirm manual pivot entry accuracy
* Timezone-adjustable for global markets
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Important Notes
* Requires ICT Knowledge: This is not a plug-and-play system. Understanding market structure, liquidity concepts, and Fibonacci confluence is essential for effective use.
* Manual Structure Definition: You define the structural pivots. The indicator tracks and alerts - it doesn't make trading decisions.
* Chart Timeframe: Set alerts on the 1-hour chart for optimal timing across all three monitored timeframes.
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Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial, investment, or trading advice.
The indicator:
* Makes no guarantees about future market performance
* Cannot predict market movements with certainty
* May generate false indications
* Relies on historical patterns that may not repeat
* Should not be used as the sole basis for trading decisions
Users are responsible for:
* Conducting independent research and analysis
* Understanding the risks of trading
* Making their own investment/divestment decisions
* Managing position sizes and risk exposure appropriately
Trading involves substantial risk and may not be suitable for all investors. Past performance does not guarantee future results. Users should only invest what they can afford to lose and consult qualified professionals before making financial decisions. The indicator’s assumptions may be invalidated by changing market conditions.
By using this tool, users acknowledge these limitations and accept full responsibility for their trading decisions.
ATR H1 Visual LSTIndicator and visual aid that displays the 1-Hour ATR value directly on the chart, in the bottom-left corner, across all timeframes.
Fair Value Gap / iVFG / Imbalance / MTF SuiteFair Value Gap / Imbalance / MTF Suite
This tool provides a comprehensive solution for automatically detecting and visualizing Fair Value Gaps (FVGs) and Imbalances across multiple timeframes.
The suite enables traders to accurately identify order flow inefficiencies and highlight potential trading zones with precision and clarity.
Key Features:
Multi-timeframe detection of Fair Value Gaps and Imbalances
Fully customizable visualization (colors, transparency, box styles, midlines)
Automatic retest handling (color change and level adjustment)
Flexible right-side projection with optional limits
Analyze up to 10 timeframes simultaneously
Clear distinction between fresh and retested zones
Use Cases:
Identifying market inefficiencies
Supporting liquidity- and imbalance-based trading approaches
Combining with market structure analysis
Suitable as a standalone tool or as a complement to existing strategies
Goal:
This suite is designed to provide professional traders as well as ambitious beginners with a powerful tool to systematically detect market inefficiencies and make better-informed trading decisions.
