Time Markersplots basic lines to mark key times for ICT trading. Couldn't figure out how to make them plot in advance
週期
Ultimate buy sell indicatorUltimate Trade ek advanced trading indicator hai jo candlestick patterns aur price action ke basis par Buy/Sell signals generate karta hai. Ye intraday aur swing trading dono ke liye suitable hai. Isme trend detection, risk-reward ratio aur stop-loss level ka support diya gaya hai jisse traders ko better decision lene mein help mile."
Rev Smart Pivot V5.0 by SJKimRev Smart Pivot V5.0 by SJKim
Rev Smart Pivot V5.0 by SJKim
Rev Smart Pivot V5.0 by SJKim
S7F AlphaXS7F Alpha — The Complete Trading Suite
The S7F Alpha is an all-in-one trading framework built to give traders clarity, precision, and confidence in every trade. Designed for both intraday scalps and swing positions, it combines multiple proven strategies into one streamlined tool.
I’ve personally used this indicator for over 4 years, flipping accounts and refining my entries with sniper-level precision. If you want to see it in action, follow my YouTube channel where I trade live with S7F Alpha every day.
### 🔑 Key Features
* Multi-Session Mapping: Automatically highlights Asia, London, and New York sessions with high/low ranges for precise timing.
* Smart Baselines: Dynamic EMA & Ichimoku cloud filters to instantly identify trend bias.
* Pivot Levels & Quarters Theory: Auto-plotted daily/weekly/monthly pivots with advanced quarter-level zones for sniper entries.
* Bollinger & RSI/TDI Engine: Detects overbought/oversold conditions, reversals, and momentum continuation.
* Session Alerts: Real-time alerts for London/NY crossovers, baseline flips, and stop-hunt setups.
* Accountability Tools: Session boxes, key levels, and color-coded bars keep your charts structured and easy to read.
### ✅ Best For
* Intraday traders (15m / 1h scalps).
* Prop firm challenge passes.
* Account flipping strategies (\$100 → \$1,000).
* Traders who want an **all-in-one dashboard** instead of 5–6 indicators cluttering charts.
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👉 The **S7F Alpha** turns your chart into a **complete trading machine**, so you can focus on execution and consistency.
Planetary Angles - CEPlanetary Angles - Community Edition
Welcome to the Planetary Angles - Community Edition, a dynamic tool designed to enhance W.D. Gann-inspired trading by pinpointing dates when a selected planet reaches a user-defined ecliptic longitude angle. This feature-complete indicator provides traders with precise astrological timing for market analysis across equities, forex, commodities, and cryptocurrencies. It empowers traders to integrate celestial events into their strategies with ease.
Overview
The Planetary Angles - Community Edition calculates and plots vertical lines on your chart to mark dates when a chosen planet (Mercury, Venus, Mars, Jupiter, Saturn, Uranus, Neptune, or Pluto) crosses a specific longitude angle (0° to 359.99°) in either heliocentric or geocentric mode. With customizable line and label styling, this script highlights key astrological moments, helping traders identify potential market turning points based on Gann’s time-theory principles. It supports multiple instances on a single chart, offering flexibility for multi-planet analysis.
Key Features
Custom Angle Selection : Choose any ecliptic longitude angle (0° to 359.99°) to track when a planet crosses that precise degree.
Planetary Coverage : Supports eight planets (Mercury, Venus, Mars, Jupiter, Saturn, Uranus, Neptune, Pluto) for comprehensive astrological analysis.
Heliocentric and Geocentric Modes : Toggle between heliocentric and geocentric calculations to align with your preferred perspective.
Styling Options : Customize line styles (solid, dotted, dashed) and colors for lines and labels, with options to enable/disable lines and text for clarity.
Labeled Visuals : Displays labeled markers (e.g., “☿ 90°”) on the chart, with tooltips for easy identification of planetary angle crossings.
Multi-Instance Support : Add the script multiple times to track different planets or angles simultaneously on the same chart.
How It Works
Open Settings : Access the script’s settings to configure your preferences.
Enable the Script : Check the box to activate Planetary Angles.
Select a Planet : Choose from Mercury, Venus, Mars, Jupiter, Saturn, Uranus, Neptune, or Pluto.
Set the Angle : Input a specific ecliptic longitude angle (0° to 359.99°) to track.
Choose Planetary Mode : Select heliocentric or geocentric mode for the calculations.
Customize Styling : Adjust line and label styles and colors, and enable/disable lines or labels as needed.
Analyze and Trade : Observe the plotted vertical lines and labels to identify when the selected planet crosses the chosen angle, using these moments to inform your trading strategy.
Get Started
As a gift to the TradingView community and Gann traders, the Planetary Angles - Community Edition is provided free of charge. With no features locked, this tool offers full access to precise planetary angle tracking for enhanced market timing. Trade wisely and leverage the cosmic precision of Gann’s methodology!
Retrograde Planets - CERetrograde Planets - Community Edition
Welcome to the Retrograde Planets - Community Edition, a specialized tool designed to empower traders with W.D. Gann’s time-theory principles by highlighting planetary retrograde cycles. This feature-complete indicator allows traders to visualize critical retrograde periods for market analysis across equities, forex, commodities, and cryptocurrencies. As a seamless add-on to the Gann ToolBox, it enhances time-based trading strategies with precision and clarity.
Overview
The Retrograde Planets - Community Edition identifies and highlights retrograde cycles for Mercury, Venus, Mars, Jupiter, Saturn, Uranus, and Neptune, key periods often associated with market volatility and trend shifts in Gann’s methodology. By calculating ecliptic longitudes with high accuracy, the script plots historical and future retrograde periods (up to 365 days ahead) on your chart, complete with visual highlights and labels. This tool is ideal for traders leveraging astrological cycles to anticipate market turning points.
Key Features
Retrograde Cycle Highlighting : Displays retrograde periods for Mercury, Venus, Mars, Jupiter, Saturn, Uranus, and Neptune, marking start and end points with vertical lines and labels.
Historical and Future Projections : Visualizes past retrograde cycles and projects future ones up to a year in advance with minute-level precision.
Customizable Planet Selection : Choose from seven planets to focus on specific retrograde cycles relevant to your analysis.
24/7 Market Optimization : Enable extended future data for continuous markets like crypto, improving performance and projection accuracy.
Styling Flexibility : Customize the highlight color for retrograde periods to enhance chart clarity and align with your visual preferences.
Labeled Visuals : Includes labels (e.g., “℞ Starts,” “℞ Ends”) with tooltips for easy identification of retrograde cycle boundaries.
How It Works
Open Settings : Access the script’s settings to configure your preferences.
Select a Planet : Choose from Mercury, Venus, Mars, Jupiter, Saturn, Uranus, or Neptune to analyze its retrograde cycles.
Enable Retrograde Cycles : Check the box to activate retrograde highlighting for the selected planet.
Customize Highlight Color : Adjust the color of the highlighted retrograde periods for better chart visibility.
Enable 24/7 Mode (Optional) : For crypto or continuous markets, activate the 24/7 setting to include extended future data.
Analyze and Trade : Use the highlighted retrograde periods and labeled lines to identify potential market volatility or trend changes, integrating Gann’s time-theory into your strategy.
Get Started
As a gift to the TradingView community and Gann traders, the Retrograde Planets - Community Edition is provided free of charge. With no features locked, this tool offers full access to retrograde cycle analysis for precise market timing. Trade wisely and harness the power of planetary cycles!
Gann Seasonal Dates - CEGann Seasonal Dates - Community Edition
Welcome to the Gann Seasonal Dates V1.61 - Community Edition, a powerful tool designed to enhance time-based trading with W.D. Gann’s seasonal date methodology. This feature-complete indicator allows traders to plot critical seasonal dates on charts for equities, forex, commodities, and cryptocurrencies. It empowers traders to anticipate market turning points with precision.
Overview
The Gann Seasonal Dates plots Gann’s major and minor seasonal dates, which are rooted in the cyclical nature of solstices, equinoxes, and their midpoints. Major dates include the vernal equinox (March 21st), summer solstice (June 22nd), autumnal equinox (September 23rd), and winter solstice (December 22nd). Minor dates mark the halfway points between these events (February 4th, May 6th, July 23rd, August 8th, November 7th, and November 22nd). With customizable styling and historical data up to 50 years, this script helps traders identify key time-based market events.
Key Features
Major and Minor Seasonal Dates : Plot four major dates (solstices and equinoxes) and six minor dates (midpoints) to highlight potential market turning points.
Customizable Date Selection : Enable or disable individual major and minor dates to focus on specific cycles relevant to your analysis.
Historical Data Range : Adjust the lookback period up to 50 years, with recommendations for optimal performance based on your TradingView plan (5 years for Basic, 20 for Pro/Pro+/Premium).
Styling Options : Customize line styles (solid, dotted, dashed) and colors for major and minor dates to enhance chart clarity.
Labeled Visuals : Each plotted date includes a label with a tooltip (e.g., "Vernal equinox") for easy identification and context.
How It Works
Configure Settings : Enable major and/or minor dates and select specific dates (e.g., March 21st, February 4th) to display on your chart.
Set Historical Range : Adjust the years of data (up to 50) to plot historical seasonal dates, ensuring compatibility with your TradingView plan’s processing limits.
Customize Styling : Choose line styles and colors for major and minor dates to differentiate them visually.
Analyze and Trade : Use the plotted vertical lines and labels to identify potential market turning points, integrating Gann’s time-based cycles into your strategy.
Get Started
As a gift to the TradingView community and Gann traders, the Gann Seasonal Dates - Community Edition is provided free of charge. With no features locked, this tool offers full access to Gann’s seasonal date methodology for precise time-based analysis. Trade wisely and leverage the power of seasonal cycles!
Astro ToolBox - CEAstro ToolBox - Community Edition
Welcome to the Astro ToolBox - Community Edition, a meticulously designed tool that brings precise planetary ephemeris data to the TradingView community. Inspired by W.D. Gann’s astrological principles, this feature-complete indicator empowers traders to integrate celestial data into their market analysis across equities, forex, commodities, and cryptocurrencies.
Overview
The Astro ToolBox - Community Edition delivers accurate ephemeris data, calculating the ecliptic longitude and latitude of celestial bodies for any selected date. Supporting the Sun, Moon, Mercury, Venus, Mars, Jupiter, Saturn, Uranus, Neptune, and Pluto, this script offers both heliocentric and geocentric perspectives with high precision (within 1-2 arc seconds), it provides traders with a robust dataset for time-based analysis, enhancing Gann-inspired trading strategies.
Key Features
Comprehensive Planetary Data : Displays longitude and optional latitude for ten celestial bodies (Sun, Moon, Mercury, Venus, Mars, Jupiter, Saturn, Uranus, Neptune, Pluto) on user-specified dates.
Heliocentric and Geocentric Modes : Toggle between heliocentric and geocentric calculations (Pluto is heliocentric-only; Moon is geocentric-only).
Zodiac Sign Integration : Optionally display the astrological sign and degree for the selected planet’s longitude, enhancing astrological analysis.
Customizable Display Options : Enable/disable exact time display, longitude rounding, and latitude visibility for tailored data presentation.
Flexible Table Positioning : Choose from nine screen positions (e.g., Top Right, Bottom Center) to place the ephemeris table, with customizable colors for seamless chart integration.
High-Precision Calculations : Utilizes optimized algorithms to deliver near-real-time planetary positions without relying on external APIs.
How It Works
Select a Date : Choose the date for which you want to view planetary data using the input field.
Choose a Planet : Select from the Sun, Moon, Mercury, Venus, Mars, Jupiter, Saturn, Uranus, Neptune, or Pluto.
Set Planetary Mode : Toggle between heliocentric or geocentric modes to align with your analysis approach.
Customize Output : Enable options like zodiac signs, sign degrees, latitude, or exact time, and adjust the table’s position and color.
View Results : The ephemeris data appears in a clear, customizable table on your chart, providing longitude, latitude (optional), and astrological sign details.
Analyze and Trade : Leverage the data to identify time-based turning points or correlations with price action, integrating Gann’s astrological principles into your strategy.
Get Started
As a gift to the TradingView community and Gann traders, the Astro ToolBox - Community Edition is offered free of charge. With no features locked, this tool provides full access to precise ephemeris data for astrological market analysis. Trade wisely and harness the power of celestial insights!
Gann Planetary Lines V1.35 - CEGann Planetary Lines V1.35 - Community Edition
Welcome to the Gann Planetary Lines V1.35 - Community Edition, a powerful tool inspired by W.D. Gann’s astrological trading principles, designed to bring planetary-based price and time analysis to the TradingView community. This feature-complete indicator offers Gann traders and enthusiasts a robust solution for charting planetary influences across equities, forex, commodities, and cryptocurrencies.
Overview
The Gann Planetary Lines V1.35 - Community Edition transforms planetary longitude angles into price levels, leveraging Gann’s methodology to map celestial movements onto financial charts. This script supports plotting lines for the Sun, Moon, Mercury, Venus, Mars, Jupiter, Saturn, Uranus, Neptune, and Pluto, with customizable settings for heliocentric or geocentric perspectives. By integrating harmonic angles and advanced styling options, it provides a comprehensive framework for identifying key price levels and potential market turning points.
Key Features
Planetary Line Projections : Plot lines for ten celestial bodies (Sun, Moon, Mercury, Venus, Mars, Jupiter, Saturn, Uranus, Neptune, Pluto) based on their ecliptic longitudes, offering insights into price-time relationships.
Heliocentric and Geocentric Modes : Switch between heliocentric and geocentric calculations (Pluto is heliocentric-only; Sun and Moon are geocentric).
Customizable Price Unit ($/°) : Adjust the dollar-per-degree value to square planetary lines with your chart’s price scale, ensuring precise alignment.
Harmonic Support : Plot harmonic angles (Opposition, Square, Trine, Sextile, Quintile) with layer selection for multi-level analysis.
Vertical Offset and Styling : Shift lines vertically for custom harmonics and style them with adjustable thickness and colors for clear visualization.
24/7 Market Optimization : Enable extended future data for continuous markets like crypto, enhancing performance and projection accuracy.
Multi-Layer Projections : Display up to nine layers of planetary lines, each offset by 360°, to capture long-term price objectives.
How It Works
Configure Settings : Set the price unit ($/°) to align with your asset’s price action and select a planet from the dropdown menu.
Choose Planetary Mode : Toggle between heliocentric or geocentric modes and enable reverse direction for downward lines.
Enable Harmonics (Optional) : Select desired harmonics (e.g., Square, Trine) and adjust the layer to visualize additional price levels.
Customize Display : Adjust line thickness, color, and vertical offset to enhance chart clarity and match your analysis style.
Analyze and Trade : Use plotted planetary and harmonic lines to identify support, resistance, and potential turning points, integrating Gann’s astrological insights into your trading strategy.
Get Started
As a gift to the TradingView community and Gann traders, the Gann Planetary Lines V1.35 - Community Edition is offered free of charge. No features are locked—enjoy the full power of planetary analysis to enhance your trading. Trade wisely and explore the cosmic edge of Gann’s methodology!
Universal Trend+ [BackQuant]Universal Trend+
This indicator blends several well-known technical ideas into a single composite trend and momentum model. It can be show primarily as an overlay or a oscillator:
In which it produces two things:
a composite oscillator that summarizes multiple signals into one normalized score
a regime signal rendered on the chart as a colored ribbon with optional 𝕃 and 𝕊 markers
The goal is to simplify decision-making by having multiple, diverse measurements vote in a consistent framework, rather than relying on any single indicator in isolation.
What it does
Computes five independent components, each reading a different aspect of price behavior
Converts each component into a standardized bullish / neutral / bearish vote
Averages the available votes to a composite score
Compares that score to user thresholds to label the environment bullish, neutral, or bearish
Colors a fast/slow moving-average ribbon by the current regime, optionally paints candles, and can plot the composite oscillator in a lower pane
The five components (conceptual)
1)RSI Momentum Bias
A classic momentum gauge on a selectable source and lookback. The component emphasizes whether conditions are persistently strong or weak and applies a neutral buffer to avoid reacting to trivial moves. Output is expressed as a vote: bullish, neutral, or bearish.
2) Rate-of-Change Impulse
A smoothed rate-of-change that focuses on short bursts in acceleration. It is used to detect impulsive pushes rather than slow drift. Extreme readings cast a directional vote, mid-range readings abstain.
3) EMA Oscillator
A slope-style trend gauge formed by contrasting a fast and a slow EMA on a chosen source, normalized so that the sign and relative magnitude matter more than absolute price. A small dead-zone reduces whipsaws.
4) T3-Based Normalized Oscillator
A T3 smoother is transformed into a bounded oscillator via rolling normalization, then optionally smoothed by a user-selectable MA. This highlights directional drift while keeping scale consistent across symbols and regimes.
5) DEMA + ATR Bands State
A double-EMA core is wrapped in adaptive ATR bands to create a stepping state that reacts when pressure exceeds a volatility envelope. The component contributes an event-style vote on meaningful shifts.
Each component is designed to measure something different: trend slope, momentum impulse, normalized drift, and volatility-aware pressure. Their diversity is the point.
Composite scoring model
Standardization: Each component is mapped to -1 (bearish), 0 (neutral), or +1 (bullish) using bands and guards to cut noise.
Aggregation: The composite score is the average of the available votes. If a component is inactive on a bar, the composite uses the votes that are present.
Decision layer: Two user thresholds define your action bands.
Above the upper band → bullish regime
Below the lower band → bearish regime
Between the bands → neutral
This separation between measurement, aggregation, and decision avoids over-fitting any single threshold and makes the tool adaptable across assets and timeframes.
Plots and UI
Composite oscillator (optional lower pane): A normalized line that trends between bearish and bullish zones with user thresholds drawn for context.
Signal ribbon (on price): A fast/slow MA pair tinted by the current regime to give an at-a-glance market state.
Markers: Optional 𝕃 and 𝕊 labels when the regime flips.
Candle painting and background tint: Optional visual reinforcement of state.
Color and style controls: User inputs for long/short colors, threshold line color, and visibility toggles.
How it can be used
1) Regime filter
Use the composite regime to define bias. Trade only long in a bullish regime, only short in a bearish regime, and stand aside or scale down in neutral. This simple filter often reduces whipsaw.
2) Confirmation layer
Keep your entry method the same (breaks, pullbacks, liquidity sweeps, order-flow cues) but require agreement from the composite regime or a fresh flip in the 𝕃/𝕊 markers.
3) Momentum breakouts
Look for the composite oscillator to leave neutrality while the EMA oscillator is already positive and the ATR-band state has flipped. Confluence across components is the intent.
4) Pullback entries within trend
In a bullish regime, consider entries on shallow composite dips that recover before breaching the lower band. Reverse the logic in a bearish regime.
5) Exits and risk
Common choices are:
reduce on a return to neutral,
exit on an opposite regime flip, or
trail behind your own stop model (ATR, structure, session levels) while using the ribbon for context.
6) Multi-timeframe workflow
Select a higher timeframe for bias with this indicator, and time executions on a lower timeframe. The indicator itself stays on a single chart; you can load a second chart or pane if you prefer a strict top-down process.
Strengths
Diversified evidence: Five independent perspectives keep the model from hinging on one idea.
Noise control: Neutral buffers and a composite layer reduce reaction to minor wiggles.
Clarity: A single oscillator and a clearly colored ribbon present a complex assessment in a simple form.
Adaptable: Thresholds and lookbacks let you tune for faster or slower markets.
Practical tuning
Thresholds: Wider bands produce fewer regime flips and longer holds. Narrower bands increase sensitivity.
Lookbacks: Shorter lookbacks emphasize recent action; longer lookbacks emphasize stability.
T3 normalization window and volume factor: Increase the window to suppress noise on choppy symbols; tweak the factor to adjust the smoother’s response.
ATR factor for the band state: Raise it to demand more decisive pressure before registering a shift; lower it to respond earlier.
Alerts
Built-in alerts trigger when the regime flips long or short. If you prefer confirmed signals, set your alerts to bar close on your timeframe. Intrabar the composite can move with price; bar-close confirmation stabilizes behavior.
Limitations
Sideways markets: Even with buffers, any trend model can chop in range-bound conditions.
Lag vs sensitivity trade-off: Tighter thresholds react faster but flip more often; wider thresholds are steadier but later.
Asset specificity: Volatility regimes differ. Expect to retune ATR and normalization settings when switching symbols or timeframes.
Final Remarks
Universal Trend+ is meant to act like a disciplined voting committee. Each component contributes a different angle on the same underlying question: is the market pressing up, pressing down, or doing neither with conviction. By standardizing and aggregating those views, you get a single regime read that plays well with many entry styles and risk frameworks, while keeping the heavy math under the hood.
线-美元指数灯1️⃣ 设计目的
帮助交易者快速判断当前市场风险状态，会自动匹配当前品种数据
将宏观美元走势与主币种短期趋势结合，给出 红/橙/绿三色风险提示
2️⃣ 数据来源与逻辑
宏观因素
参考美元指数（DXY）日线涨幅
作用：美元走强 → 全球风险资产承压 → 风险增加
主币种短期趋势
EMA斜率（1小时）判断趋势方向
RSI（1小时）判断超买/超卖状态
风险评分系统
每个条件满足则计1分
分数规则：
2分及以上 → 红灯（高风险，建议暂停策略）
1分 → 橙灯（中风险，小仓谨慎）
0分 → 绿灯（低风险，可正常操作）
1️⃣ Design Purpose
Helps traders quickly assess current market risk.
Combines macro dollar trends with short-term trends of the underlying currency to generate red, orange, and green risk alerts.
2️⃣ Data Source and Logic
Macro Factors
References to the daily gains of the US Dollar Index (DXY)
Impact: A stronger US dollar → pressure on global risk assets → increased risk
Short-term trends of underlying currencies
EMA slope (1-hour) determines trend direction
RSI (1-hour) determines overbought/oversold conditions
Risk Scoring System
Each condition met is assigned 1 point.
Scoring Rules:
2 points and above = Red (High risk, recommend pausing the strategy)
1 point = Orange (Medium risk, caution with small positions)
0 points = Green (Low risk, normal operation)
Muzyorae - ICT Quarter Cycle (Once)ICT Quarterly Theory — 06:00 to 12:00 (NY) Micro-Quarters
This tool focuses on the 06:00–12:00 New York time window and subdivides it into four equal “micro-quarters,” each 90 minutes long. In many ICT layouts this block is treated as a single higher-level quarter; here we break it into a finer structure to help you frame intraday narratives, liquidity runs, and session shifts with consistent time anchors.
How it’s partitioned
q1: 06:00 → 07:30 (NY)
q2: 07:30 → 09:00 (NY)
q3: 09:00 → 10:30 (NY)
q4: 10:30 → 12:00 (NY)
Each boundary is plotted at the exact start time, so you can see where one 90-minute cycle ends and the next begins. Labels can be placed above or below price, and colors/styles are configurable to match your chart.
Why it’s useful
Provides fixed time scaffolding for building AM session bias, execution windows, and narrative transitions.
Helps distinguish pre-cash open, cash open, and late-AM distribution/accumulation phases without guessing.
Standardizes replay and journaling: the same 90-minute checkpoints every day.
Key features
NY-time anchored (handles DST automatically through TradingView’s exchange time).
Four precise 90-minute segments inside the 06:00–12:00 block.
Customizable line styles, colors, and label placement (above/below).
Optional visibility controls to keep charts clean.
Note: Some ICT mappings name the 06:00–12:00 block differently (e.g., Q2 vs. Q3). This indicator uses the same time bounds regardless of the label you prefer; you can rename the macro label in settings if desired.
Disclaimer: Time framing does not guarantee outcomes. Use alongside your own analysis, risk management, and execution plan.
Muzyorae - ICT Quarterly Theory (Intraday)ICT Quarterly Theory — Intraday
What it is
ICT’s Quarterly Theory models the intraday session as repeating cycles of four “quarters.” On NY time, a trading day is split into four macro quarters of 6 hours each:
Q1: 00:00–06:00 NY (Asia / pre-London)
Q2: 06:00–12:00 NY (London–NY overlap, AM session)
Q3: 12:00–18:00 NY (Midday / PM session)
Q4: 18:00–24:00 NY (Asia re-open / late session)
Each macro quarter can be further subdivided into micro quarters of 90 minutes (q1–q4). This fractal view helps traders frame accumulation → expansion → distribution → liquidation phases and align executions with time-of-day liquidity.
Why it matters
Orderflow, liquidity raids, and displacement are highly time-dependent. Marking the quarters makes it easier to:
Anticipate when the market is likely to deliver the day’s expansion (often Q2) versus retracement/distribution (often Q3) or late liquidity runs (often Q4).
Compare today’s behavior to prior days within the same quarter windows.
Anchor bias, entries, and risk management to session-specific highs/lows rather than arbitrary clock times.
What this indicator shows
Macro quarters (6h): Vertical lines and optional labels (Q1–Q4) on NY time.
Micro quarters (90m): Optional finer verticals inside each macro quarter (q1–q4) for precise timing.
True Open (Q2 AM): Optional line at the AM session’s true open (default 06:00 NY) to study premium/discount development from the intraday benchmark.
Futures Sunday handling: Optional treatment of Sunday 18:00 NY as Q4 (useful for FX/futures).
Label controls: Choose above/below placement, offset, size, and colors; micro labels can be toggled independently.
Performance-friendly: De-duplicated labels and a look-back “days to show” setting keep charts clean.
How to use
Timeframe: Works on intraday charts (1–60m). 5–15m is a common balance of signal vs. noise.
Bias framing:
Map Asia (Q1), AM expansion (Q2), midday distribution (Q3), late session runs (Q4).
Compare where the daily range forms versus the True Open to gauge premium/discount and likely continuations.
Execution: Look for standard ICT tools (liquidity sweeps, FVGs, displacement, PD arrays) inside the active quarter to avoid fighting time-of-day flow.
Review: Scroll back multiple days and evaluate where the day’s high/low typically forms relative to Q2–Q3; adapt expectations.
Settings (high level)
Show Macro Labels / Micro Lines / Micro Labels
Label position (above/below), X-shift, colors, sizes
Days to show, de-dup window (prevents label overlaps)
Q2 True Open toggle and extension (doesn't work)
Include Sunday as Q4 (18:00 NY)
Notes
Quarter boundaries are fixed to America/New York session logic to match ICT timing.
This is a context tool; it does not generate buy/sell signals. Combine with your existing execution model.
Past behavior does not guarantee future results. Use proper risk management.
VLM ALERTalert when there is unusual volume on the chart. Instead of sitting around waiting for us to go out, waiting for something to come in and see
National - Daily Kill Zone LinesDaily Kill Zone Lines
This indicator helps traders mark and visualize their daily "kill zone" with precision.
Plots two vertical lines at your chosen session start and end time.
Adjustable line color, style (solid/dashed/dotted), and width.
Optional shading between the lines for easy zone tracking.
Works on intraday charts and automatically updates for each new day.
Ideal for session-based trading strategies such as London open, New York open, or any custom time window you rely on.
Ultimate Fundamental FortressScript Overview
This script provides a comprehensive Fundamental Health Scorecard for stocks, calculating a normalized score out of 100 based on key financial metrics fetched from TradingView's fundamental data. It displays the results in an elegant table with customizable colors, a dynamic plot for visualization, and a scorecard label for quick insights. The scorecard helps users assess a stock's value, profitability, and financial strength at a glance.
Purpose
The primary goal is to simplify fundamental analysis by aggregating essential ratios into a single, easy-to-interpret score. Inspired by value investing principles (e.g., low P/E and P/B for undervalued stocks, high ROE for efficiency), it empowers traders and investors to identify strong fundamentals quickly. It's especially useful for screening undervalued opportunities or comparing stocks within sectors.
Principles
Metrics Selection: Focuses on core fundamentals: Price-to-Book (P/B), Price-to-Earnings (P/E), Return on Equity (ROE), Debt-to-Equity (D/E), Free Cash Flow (FCF normalized by market cap), EBITDA (normalized by market cap), and Net Profit Margin. These are chosen for their balance of valuation, profitability, and risk assessment.
Scoring Philosophy: Each metric is scored based on thresholds (e.g., low ratios for valuation metrics indicate better value). If manual sector averages are provided, scoring becomes relative (e.g., stock P/B below sector average gets higher points), reducing subjectivity and adapting to industry norms. Without averages, absolute thresholds apply.
Normalization: Scores are summed and scaled to 100, ignoring missing data to ensure robustness. This allows fair comparison across stocks with varying data availability.
Customization: Users can adjust thresholds, colors, and sector averages for personalized analysis, making it flexible for different markets or strategies.
Calculation Methodology
Data Fetching: Uses request.financial() to pull quarterly (FQ) or trailing twelve months (TTM) data for metrics like BVPS, EPS, ROE, etc.
Ratio Computations:
P/B = Close Price / BVPS
P/E = Close Price / EPS
ROE = Directly fetched
D/E = Total Liabilities / Equity
Net Margin = Net Income / Revenue
Normalized FCF = FCF / Market Cap (as percentage)
Normalized EBITDA = EBITDA / Market Cap (as percentage)
Scoring:
For each metric, compare to thresholds or relative to sector averages (if provided >0).
Example for P/B: If relative (sector avg >0), stock P/B < avg * high factor → 15 pts; < avg * med factor → 10 pts; etc.
For ROE/Net Margin (higher is better): Reverse logic (stock > avg / factor).
FCF/EBITDA: Always absolute (normalized thresholds).
Minimum score per metric: 2-5 pts if poor.
Total Score: Sum valid scores, divide by max possible for those metrics, multiply by 100.
Output: Table shows components, values, scores, and sector avgs.
Plot visualizes score with color-coding.
Label categorizes (e.g., "Buffett Approved" for 85+).
User Inputs and Benefits
Thresholds (Absolute/Relative Factors): Customize scoring rules (e.g., change P/E low threshold from 10 to 12).
Benefit: Adapt to personal strategy or market conditions – e.g., stricter for growth stocks.
Manual Sector Averages: Enter averages (e.g., sector P/B = 2.5).
Benefit: Makes scoring industry-specific, reducing bias (e.g., tech's high P/E normal, banking's low ROE risky). If not entered (≤0), falls back to absolute for simplicity.
Color Customizations: Adjust table colors (header, scores).
Benefit: Personalize visuals for dark/light themes, improving readability and user experience.
Normalized FCF/EBITDA Thresholds: Set as % of market cap. Benefit: Size-independent comparison – small caps won't be disadvantaged.
Usage Notes Add to chart via Indicators menu.
Data relies on TradingView fundamentals – may be limited for some exchanges (e.g., BIST, international). Use manual averages for accuracy.
For screener: High request count (10) may exceed limits; use reduced version if needed.
Not financial advice – always verify with external sources.
Feedback welcome – let's improve together!
Elliott Wave / NeoWave Rule Engine – v6.9This script functions as a "rule engine" that automatically identifies significant price swings and then tests them against a comprehensive set of Elliott Wave rules and guidelines.
The goal is to filter out low-probability setups and identify valid motive (impulse and diagonal) waves by applying user-defined tolerances. The script plots swings on the chart and can display a real-time dashboard that shows which rules are passing or failing. When a valid motive wave is detected, it can generate buy or sell signals.
User Settings
The script's behavior is controlled by a set of user inputs, organized into four main groups.
Swing / ZigZag Detection
These settings control how the script identifies the price swings that form the basis of the wave patterns.
Pivot Left Bars & Pivot Right Bars: These two values determine the sensitivity of the swing detection. A pivot point (a high or low) is only identified if it is the highest or lowest price within the specified number of bars to its left and right. Increasing these numbers will result in fewer, larger swings.
Minimum swing % (filter micro noise): This is a crucial filter. It ignores swings that are too small to be considered significant, helping to clean up the chart and prevent the engine from analyzing "noise." For example, a value of 0.3 means any swing that is less than 0.3% of the price range will be ignored.
Rule Engine Tolerances
This group allows you to define how strict the validation rules are.
Fibonacci tolerance (±%): This sets the acceptable margin of error for Fibonacci relationships (e.g., a 0.618 retracement). A value of 0.001 means a retracement between 0.617 and 0.619 will be considered a valid match.
Same-degree TIME proportion max (x): This sets the maximum time difference allowed between waves of the same degree (e.g., Wave 1 and Wave 3) to still be considered "proportional." A value of 1 means Wave 3's duration can be up to 1 time longer than Wave 1's duration, and vice-versa.
Same-degree PRICE proportion max (x): Similar to the time tolerance, this sets the maximum price difference allowed between waves of the same degree to still be considered proportional.
Alternation slope ratio threshold: This is a key NeoWave guideline. It checks if Wave 2 and Wave 4 have different "sharpness" (price change per bar). A higher value makes the alternation rule stricter.
Min guideline passes for motive validation (0–7): This is the gating feature. Even if a pattern passes all the hard Elliott Wave rules (e.g., no overlap, Wave 3 isn't the shortest), you can still require it to pass a minimum number of guidelines (like Fibonacci relationships, alternation, etc.) before a signal is generated. A value of 7 means every guideline must be met.
Momentum / Volume Guidelines
These are additional checks for pattern validation.
Momentum length: This setting controls a proxy for momentum, which is calculated based on the speed of price movement.
Use volume checks: This is a placeholder for future functionality. It does not currently affect the script's behavior.
UI / Debug
These settings control the visual aspects of the script on your chart.
Max swings to keep/evaluate: This determines how far back the script looks to find and analyze swings. A larger number will analyze more historical patterns but may impact performance.
Show detected labels: Toggles the display of numerical (1-2-3-4-5) and letter (A-B-C) labels on the detected waves.
Show rule PASS/FAIL dashboard: Toggles the on-chart table that provides a detailed breakdown of which rules and guidelines are met.
Table Position: Controls where the rule dashboard is located on your chart.
Print debug info to Data Window: If you are a developer or want to see the underlying data, this will print information to TradingView's Data Window.
Show Buy/Sell Signals: Toggles the display of Buy/Sell signals. These signals are only generated when a pattern passes all the hard rules and your minimum guideline pass requirement.
3*n 1.0IPDA Range display
ICT Hidden levels
give you special levels to trade from.
Supper support and resistance levels
BTC Power-Law Decay Channel Oscillator (0–100)🟠 BTC Power-Law Decay Channel Oscillator (0–100)
This indicator calculates Bitcoin’s position inside its long-term power-law decay channel and normalizes it into an easy-to-read 0–100 oscillator.
🔎 Concept
Bitcoin’s long-term price trajectory can be modeled by a log-log power-law channel.
A baseline is fitted, then an upper band (excess/euphoria) and a lower band (capitulation/fear).
The oscillator shows where the current price sits between those bands:
0 = near the lower band (historical bottoms)
100 = near the upper band (historical tops)
📊 How to Read
Oscillator > 80 → euphoric excess, often cycle tops
Oscillator < 20 → capitulation, often cycle bottoms
Works best on weekly or bi-weekly timeframes.
⚙️ Adjustable Parameters
Anchor date: starting point for the power-law fit (default: 2011).
Smoothing days: moving average applied to log-price (default: 365 days).
Upper / Lower multipliers: scale the bands to align with historical highs and lows.
✅ Best Use
Combine with other cycle signals (dominance ratios, macro indicators, sentiment).
Designed for long-term cycle analysis, not intraday trading.
Liquidity Box By "heman7knows"Code Description
This Pine Script Indicator Draws Custom Boxes On A Chart To Highlight Specific Trading Hours. It Allows You To Select A Timezone And Configure Up To Five Different Sessions. Each Box Automatically Adjusts To Show The Highest And Lowest Prices Reached During Its Respective Session. Users Can Customize The Time, Color, And Visibility Of Each Individual Session Box Through The Indicator's Settings.
PnL Bubble [%] | Fractalyst1. What's the indicator purpose?
The PnL Bubble indicator transforms your strategy's trade PnL percentages into an interactive bubble chart with professional-grade statistics and performance analytics. It helps traders quickly assess system profitability, understand win/loss distribution patterns, identify outliers, and make data-driven strategy improvements.
How does it work?
Think of this indicator as a visual report card for your trading performance. Here's what it does:
What You See
Colorful Bubbles: Each bubble represents one of your trades
Blue/Cyan bubbles = Winning trades (you made money)
Red bubbles = Losing trades (you lost money)
Bigger bubbles = Bigger wins or losses
Smaller bubbles = Smaller wins or losses
How It Organizes Your Trades:
Like a Photo Album: Instead of showing all your trades at once (which would be messy), it shows them in "pages" of 500 trades each:
Page 1: Your first 500 trades
Page 2: Trades 501-1000
Page 3: Trades 1001-1500, etc.
What the Numbers Tell You:
Average Win: How much money you typically make on winning trades
Average Loss: How much money you typically lose on losing trades
Expected Value (EV): Whether your trading system makes money over time
Positive EV = Your system is profitable long-term
Negative EV = Your system loses money long-term
Payoff Ratio (R): How your average win compares to your average loss
R > 1 = Your wins are bigger than your losses
R < 1 = Your losses are bigger than your wins
Why This Matters:
At a Glance: You can instantly see if you're a profitable trader or not
Pattern Recognition: Spot if you have more big wins than big losses
Performance Tracking: Watch how your trading improves over time
Realistic Expectations: Understand what "average" performance looks like for your system
The Cool Visual Effects:
Animation: The bubbles glow and shimmer to make the chart more engaging
Highlighting: Your biggest wins and losses get extra attention with special effects
Tooltips: hover any bubble to see details about that specific trade.
What are the underlying calculations?
The indicator processes trade PnL data using a dual-matrix architecture for optimal performance:
Dual-Matrix System:
• Display Matrix (display_matrix): Bounded to 500 trades for rendering performance
• Statistics Matrix (stats_matrix): Unbounded storage for complete statistical accuracy
Trade Classification & Aggregation:
// Separate wins, losses, and break-even trades
if val > 0.0
pos_sum += val // Sum winning trades
pos_count += 1 // Count winning trades
else if val < 0.0
neg_sum += val // Sum losing trades
neg_count += 1 // Count losing trades
else
zero_count += 1 // Count break-even trades
Statistical Averages:
avg_win = pos_count > 0 ? pos_sum / pos_count : na
avg_loss = neg_count > 0 ? math.abs(neg_sum) / neg_count : na
Win/Loss Rates:
total_obs = pos_count + neg_count + zero_count
win_rate = pos_count / total_obs
loss_rate = neg_count / total_obs
Expected Value (EV):
ev_value = (avg_win × win_rate) - (avg_loss × loss_rate)
Payoff Ratio (R):
R = avg_win ÷ |avg_loss|
Contribution Analysis:
ev_pos_contrib = avg_win × win_rate // Positive EV contribution
ev_neg_contrib = avg_loss × loss_rate // Negative EV contribution
How to integrate with any trading strategy?
Equity Change Tracking Method:
//@version=6
strategy("Your Strategy with Equity Change Export", overlay=true)
float prev_trade_equity = na
float equity_change_pct = na
if barstate.isconfirmed and na(prev_trade_equity)
prev_trade_equity := strategy.equity
trade_just_closed = strategy.closedtrades != strategy.closedtrades
if trade_just_closed and not na(prev_trade_equity)
current_equity = strategy.equity
equity_change_pct := ((current_equity - prev_trade_equity) / prev_trade_equity) * 100
prev_trade_equity := current_equity
else
equity_change_pct := na
plot(equity_change_pct, "Equity Change %", display=display.data_window)
Integration Steps:
1. Add equity tracking code to your strategy
2. Load both strategy and PnL Bubble indicator on the same chart
3. In bubble indicator settings, select your strategy's equity tracking output as data source
4. Configure visualization preferences (colors, effects, page navigation)
How does the pagination system work?
The indicator uses an intelligent pagination system to handle large trade datasets efficiently:
Page Organization:
• Page 1: Trades 1-500 (most recent)
• Page 2: Trades 501-1000
• Page 3: Trades 1001-1500
• Page N: Trades to
Example: With 1,500 trades total (3 pages available):
• User selects Page 1: Shows trades 1-500
• User selects Page 4: Automatically falls back to Page 3 (trades 1001-1500)
5. Understanding the Visual Elements
Bubble Visualization:
• Color Coding: Cyan/blue gradients for wins, red gradients for losses
• Size Mapping: Bubble size proportional to trade magnitude (larger = bigger P&L)
• Priority Rendering: Largest trades displayed first to ensure visibility
• Gradient Effects: Color intensity increases with trade magnitude within each category
Interactive Tooltips:
Each bubble displays quantitative trade information:
tooltip_text = outcome + " | PnL: " + pnl_str +
" Date: " + date_str + " " + time_str +
" Trade #" + str.tostring(trade_number) + " (Page " + str.tostring(active_page) + ")" +
" Rank: " + str.tostring(rank) + " of " + str.tostring(n_display_rows) +
" Percentile: " + str.tostring(percentile, "#.#") + "%" +
" Magnitude: " + str.tostring(magnitude_pct, "#.#") + "%"
Example Tooltip:
Win | PnL: +2.45%
Date: 2024.03.15 14:30
Trade #1,247 (Page 3)
Rank: 5 of 347
Percentile: 98.6%
Magnitude: 85.2%
Reference Lines & Statistics:
• Average Win Line: Horizontal reference showing typical winning trade size
• Average Loss Line: Horizontal reference showing typical losing trade size
• Zero Line: Threshold separating wins from losses
• Statistical Labels: EV, R-Ratio, and contribution analysis displayed on chart
What do the statistical metrics mean?
Expected Value (EV):
Represents the mathematical expectation per trade in percentage terms
EV = (Average Win × Win Rate) - (Average Loss × Loss Rate)
Interpretation:
• EV > 0: Profitable system with positive mathematical expectation
• EV = 0: Break-even system, profitability depends on execution
• EV < 0: Unprofitable system with negative mathematical expectation
Example: EV = +0.34% means you expect +0.34% profit per trade on average
Payoff Ratio (R):
Quantifies the risk-reward relationship of your trading system
R = Average Win ÷ |Average Loss|
Interpretation:
• R > 1.0: Wins are larger than losses on average (favorable risk-reward)
• R = 1.0: Wins and losses are equal in magnitude
• R < 1.0: Losses are larger than wins on average (unfavorable risk-reward)
Example: R = 1.5 means your average win is 50% larger than your average loss
Contribution Analysis (Σ):
Breaks down the components of expected value
Positive Contribution (Σ+) = Average Win × Win Rate
Negative Contribution (Σ-) = Average Loss × Loss Rate
Purpose:
• Shows how much wins contribute to overall expectancy
• Shows how much losses detract from overall expectancy
• Net EV = Σ+ - Σ- (Expected Value per trade)
Example: Σ+: 1.23% means wins contribute +1.23% to expectancy
Example: Σ-: -0.89% means losses drag expectancy by -0.89%
Win/Loss Rates:
Win Rate = Count(Wins) ÷ Total Trades
Loss Rate = Count(Losses) ÷ Total Trades
Shows the probability of winning vs losing trades
Higher win rates don't guarantee profitability if average losses exceed average wins
7. Demo Mode & Synthetic Data Generation
When using built-in sources (close, open, etc.), the indicator generates realistic demo trades for testing:
if isBuiltInSource(source_data)
// Generate random trade outcomes with realistic distribution
u_sign = prand(float(time), float(bar_index))
if u_sign < 0.5
v_push := -1.0 // Loss trade
else
// Skewed distribution favoring smaller wins (realistic)
u_mag = prand(float(time) + 9876.543, float(bar_index) + 321.0)
k = 8.0 // Skewness factor
t = math.pow(u_mag, k)
v_push := 2.5 + t * 8.0 // Win trade
Demo Characteristics:
• Realistic win/loss distribution mimicking actual trading patterns
• Skewed distribution favoring smaller wins over large wins
• Deterministic randomness for consistent demo results
• Includes jitter effects to prevent visual overlap
8. Performance Limitations & Optimizations
Display Constraints:
points_count = 500 // Maximum 500 dots per page for optimal performance
Pine Script v6 Limits:
• Label Count: Maximum 500 labels per indicator
• Line Count: Maximum 100 lines per indicator
• Box Count: Maximum 50 boxes per indicator
• Matrix Size: Efficient memory management with dual-matrix system
Optimization Strategies:
• Pagination System: Handle unlimited trades through 500-trade pages
• Priority Rendering: Largest trades displayed first for maximum visibility
• Dual-Matrix Architecture: Separate display (bounded) from statistics (unbounded)
• Smart Fallback: Automatic page clamping prevents empty displays
Impact & Workarounds:
• Visual Limitation: Only 500 trades visible per page
• Statistical Accuracy: Complete dataset used for all calculations
• Navigation: Use page input to browse through entire trade history
• Performance: Smooth operation even with thousands of trades
9. Statistical Accuracy Guarantees
Data Integrity:
• Complete Dataset: Statistics matrix stores ALL trades without limit
• Proper Aggregation: Separate tracking of wins, losses, and break-even trades
• Mathematical Precision: Pine Script v6's enhanced floating-point calculations
• Dual-Matrix System: Display limitations don't affect statistical accuracy
Calculation Validation:
// Verified formulas match standard trading mathematics
avg_win = pos_sum / pos_count // Standard average calculation
win_rate = pos_count / total_obs // Standard probability calculation
ev_value = (avg_win * win_rate) - (avg_loss * loss_rate) // Standard EV formula
Accuracy Features:
• Mathematical Correctness: Formulas follow established trading statistics
• Data Preservation: Complete dataset maintained for all calculations
• Precision Handling: Proper rounding and boundary condition management
• Real-Time Updates: Statistics recalculated on every new trade
10. Advanced Technical Features
Real-Time Animation Engine:
// Shimmer effects with sine wave modulation
offset = math.sin(shimmer_t + phase) * amp
// Dynamic transparency with organic flicker
new_transp = math.min(flicker_limit, math.max(-flicker_limit, cur_transp + dir * flicker_step))
• Sine Wave Shimmer: Dynamic glowing effects on bubbles
• Organic Flicker: Random transparency variations for natural feel
• Extreme Value Highlighting: Special visual treatment for outliers
• Smooth Animations: Tick-based updates for fluid motion
Magnitude-Based Priority Rendering:
// Sort trades by magnitude for optimal visual hierarchy
sort_indices_by_magnitude(values_mat)
• Largest First: Most important trades always visible
• Intelligent Sorting: Custom bubble sort algorithm for trade prioritization
• Performance Optimized: Efficient sorting for real-time updates
• Visual Hierarchy: Ensures critical trades never get hidden
Professional Tooltip System:
• Quantitative Data: Pure numerical information without interpretative language
• Contextual Ranking: Shows trade position within page dataset
• Percentile Analysis: Performance ranking as percentage
• Magnitude Scaling: Relative size compared to page maximum
• Professional Format: Clean, data-focused presentation
11. Quick Start Guide
Step 1: Add Indicator
• Search for "PnL Bubble | Fractalyst" in TradingView indicators
• Add to your chart (works on any timeframe)
Step 2: Configure Data Source
• Demo Mode: Leave source as "close" to see synthetic trading data
• Strategy Mode: Select your strategy's PnL% output as data source
Step 3: Customize Visualization
• Colors: Set positive (cyan), negative (red), and neutral colors
• Page Navigation: Use "Trade Page" input to browse trade history
• Visual Effects: Built-in shimmer and animation effects are enabled by default
Step 4: Analyze Performance
• Study bubble patterns for win/loss distribution
• Review statistical metrics: EV, R-Ratio, Win Rate
• Use tooltips for detailed trade analysis
• Navigate pages to explore full trade history
Step 5: Optimize Strategy
• Identify outlier trades (largest bubbles)
• Analyze risk-reward profile through R-Ratio
• Monitor Expected Value for system profitability
• Use contribution analysis to understand win/loss impact
12. Why Choose PnL Bubble Indicator?
Unique Advantages:
• Advanced Pagination: Handle unlimited trades with smart fallback system
• Dual-Matrix Architecture: Perfect balance of performance and accuracy
• Professional Statistics: Institution-grade metrics with complete data integrity
• Real-Time Animation: Dynamic visual effects for engaging analysis
• Quantitative Tooltips: Pure numerical data without subjective interpretations
• Priority Rendering: Intelligent magnitude-based display ensures critical trades are always visible
Technical Excellence:
• Built with Pine Script v6 for maximum performance and modern features
• Optimized algorithms for smooth operation with large datasets
• Complete statistical accuracy despite display optimizations
• Professional-grade calculations matching institutional trading analytics
Practical Benefits:
• Instantly identify system profitability through visual patterns
• Spot outlier trades and risk management issues
• Understand true risk-reward profile of your strategies
• Make data-driven decisions for strategy optimization
• Professional presentation suitable for performance reporting
Disclaimer & Risk Considerations:
Important: Historical performance metrics, including positive Expected Value (EV), do not guarantee future trading success. Statistical measures are derived from finite sample data and subject to inherent limitations:
• Sample Bias: Historical data may not represent future market conditions or regime changes
• Ergodicity Assumption: Markets are non-stationary; past statistical relationships may break down
• Survivorship Bias: Strategies showing positive historical EV may fail during different market cycles
• Parameter Instability: Optimal parameters identified in backtesting often degrade in forward testing
• Transaction Cost Evolution: Slippage, spreads, and commission structures change over time
• Behavioral Factors: Live trading introduces psychological elements absent in backtesting
• Black Swan Events: Extreme market events can invalidate statistical assumptions instantaneously
VCMB Levels v1.6c - MAs + VWAP + Key Levels Map + Last HighVCMB Levels v1.6c - MAs + VWAP + Key Levels Map + Last High
