脚本库
Daily Key Levels + Weekly Year Opens v2.5 OPEN SOURCEDAILY KEY LEVELS + WEEKLY YEAR OPENS
A clean higher-timeframe map that automatically changes with the chart.
AUTOMATIC DAILY AND WEEKLY PROFILES
This indicator is built specifically for 1D and 1W charts . It detects the chart timeframe and switches profiles automatically.
On a 1D chart , it displays the important weekly and monthly levels, the daily moving averages, and the Daily Trend + Level Map.
When the chart is changed to 1W , the daily profile is removed and the indicator automatically switches to the yearly-open profile. No manual setting changes are required when moving between daily and weekly charts.
On other timeframes, a small notice appears instead of displaying the wrong profile.
DAILY CHART PROFILE
The daily chart includes Previous Month High and Low , Current Month High and Low , and Previous Week High and Low . It also plots the 20 EMA in white, 50 SMA in red, and 200 SMA in blue.
Previous week and previous month levels are confirmed after those periods close. Current month levels continue developing as the month trades.
The compact dashboard adds practical context without taking over the chart. It shows:
Trend , based on price location and the exact order of the 20 EMA, 50 SMA, and 200 SMA.
Momentum / Stretch , including the direction of the 20 EMA and 50 SMA and price's distance from the 20 EMA in ATR units.
ATR / Stop Distance , showing the current daily ATR plus 2x and 3x ATR reference distances. These are volatility measurements, not automatic stop recommendations.
Previous Week and Previous Month , showing whether price is above, below, or inside each completed range.
Nearest Above, Nearest Below, and Nearest Confluence , identifying the closest enabled levels and measuring their distance in daily ATR.
WEEKLY CHART PROFILE
On a weekly chart, the indicator automatically displays the current yearly open and the previous four yearly opens .
By default, all yearly opens extend into the current chart area and include the calendar year and exact price. An optional Year Segments mode is available for traders who prefer each open to remain within its original calendar year.
PURPOSE
The daily profile provides a clear view of trend structure, volatility, nearby support and resistance, and level confluence. The weekly profile provides a simple long-term map of yearly opening prices.
Levels, colors, labels, moving averages, ATR settings, confluence distance, and dashboard placement can all be customized. 指标
Pymander's EZ MTF Regime Filter**Pymander’s EZ MTF Regime Filter** is a multi-timeframe trend and market-condition tool designed to help traders see whether several larger timeframes are aligned bullish, bearish, or neutral.
The indicator analyzes five customizable timeframes and combines their readings into one easy-to-understand regime score ranging from **-100 to +100**.
* Scores above zero show bullish alignment.
* Scores below zero show bearish alignment.
* Readings near zero suggest mixed, neutral, or transitioning conditions.
* Readings near +100 or -100 show strong agreement across the selected timeframes.
Traders can choose between two methods for determining the trend on each timeframe:
* **EMA Alignment:** Looks at price position and the relationship between fast and slow moving averages.
* **Supertrend:** Uses volatility-based trend direction to classify each timeframe.
The final score is smoothed into a clear momentum-style wave, making it easier to recognize strengthening trends, weakening alignment, and possible regime changes.
Key features include:
* Five fully customizable timeframes
* Bullish, bearish, and neutral regime scoring
* EMA Alignment or Supertrend-based analysis
* Optional volume confirmation
* Optional local Supertrend confirmation
* Breakout-based BUY and SELL labels
* Bullish and bearish multi-timeframe divergence detection
* Adjustable score smoothing
* Clean area, line, and glow visuals
The BUY and SELL signals are designed to appear only when several conditions agree. The multi-timeframe score must show strong directional alignment, price must break a recent high or low, and the optional volume and Supertrend filters must confirm the move.
What sets EZ MTF Regime Filter apart from a basic trend indicator is its ability to combine several timeframes into one unified market reading. Instead of checking multiple charts individually, traders can quickly see whether short-, medium-, and higher-timeframe conditions are working together or conflicting.
The divergence markers can also help identify moments when price continues making new highs or lows while broader timeframe alignment begins to weaken, potentially warning of fading momentum or an upcoming shift.
Use this tool as a directional filter, confirmation layer, or market-regime guide alongside proper risk management, price structure, and a tested trading plan.
Best of luck with your trading. Stay disciplined, remain patient, and always protect your capital.
— **Pymander**
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Pymander's EZ Momentum Matrix**Pymander’s EZ Momentum Matrix** is a responsive momentum oscillator designed to help traders measure directional strength, identify potential momentum shifts, and confirm whether price is moving with or against the broader trend.
The main oscillator compares fast and slow price movement, adjusts the result for current market volatility, and smooths the output into an easy-to-read wave. When the oscillator is rising, bullish momentum is strengthening. When it is falling, bearish momentum is gaining control.
The indicator also includes a separate **Trend Matrix** that analyzes momentum, price position, and trend structure using a series of double-smoothed moving averages. This helps distinguish strong directional movement from weaker or neutral market conditions.
Key features include:
* Rising and falling momentum visualization
* Overbought and oversold reference zones
* Bullish and bearish extreme-turn signals
* Trend Matrix showing bullish, bearish, or neutral conditions
* Confluence signals when oscillator momentum aligns with the broader trend
* Optional glow and gradient-fill effects
* Adjustable sensitivity, speed, smoothing, and trend settings
* Alerts for confluence and extreme momentum turns
Diamond signals appear when momentum direction and the Trend Matrix become aligned. Circle signals identify potential turns from overbought or oversold conditions.
What sets EZ Momentum Matrix apart from a traditional oscillator is that it does not rely on momentum alone. It combines momentum strength, momentum direction, trend confirmation, and price location into one clear visual tool. This can help traders confirm entries, avoid fighting strong trends, recognize weakening momentum, and better understand who currently has control of the market.
As with any indicator, use EZ Momentum Matrix alongside proper risk management, market structure, and a tested trading plan. No indicator can guarantee profitable results.
Best of luck with your trading. Stay patient, remain disciplined, and protect your capital.
— **Pymander**
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Pymander's EZ Trend Alignment**Pymander’s EZ Trend Alignment** is a clean and easy-to-read trend-following indicator designed to help traders quickly identify bullish and bearish market direction.
The tool combines the Commodity Channel Index with an ATR-based trailing trend line. In simple terms, the CCI measures whether momentum favors buyers or sellers, while the ATR calculation adjusts the trend line to current market volatility.
When bullish momentum is present, the line trails beneath price and displays green. When bearish momentum takes control, the line moves above price and displays red. The trailing logic helps traders follow established trends while recognizing possible shifts in direction.
The indicator includes two coloring styles:
* **Original Coloring:** Changes color based directly on bullish or bearish CCI momentum.
* **Trend Coloring:** Changes color based on whether the trailing line is rising or falling.
Pymander’s EZ Trend Alignment may be used to confirm market direction, filter long and short setups, identify possible trend changes, follow directional moves, and avoid trading against established momentum.
Its strength is simplicity. Rather than cluttering the chart with unnecessary signals, it provides a clear visual guide to help traders determine whether price, momentum, and volatility are aligned.
As with any indicator, use it alongside proper risk management, market structure, and a tested trading plan. No indicator can guarantee profitable results.
Best of luck in the markets, traders. Stay patient, remain disciplined, and protect your capital.
— **Pymander**
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脚本库
EZ FVG By PymanderPymander’s EZ Fair Value Gap is an advanced FVG and IFVG tool built to find meaningful imbalance zones while filtering out weaker market noise.
Unlike basic gap finders that simply draw every three-candle imbalance, EZ FVG evaluates gap size, displacement, volume, trend, VWAP, market structure, liquidity sweeps, and market regime. Each zone receives a quality score and classification, helping traders focus on the strongest opportunities.
Key features include:
* Bullish and bearish FVG detection
* Automatic IFVG conversion
* Quality scoring and zone classifications
* First-retest and reaction tracking
* Multi-timeframe FVG detection
* Optional risk-to-reward filtering
* Mitigation, invalidation, and expiration tracking
* Map, Trade, Elite, and Focus modes
* Custom alerts and an active-zone dashboard
EZ FVG is more than a box-drawing indicator—it is a complete zone-quality and reaction engine designed to provide cleaner charts, stronger context, and more selective setups.
Use it alongside proper risk management and a tested trading plan. Best of luck in the markets, traders—trade patiently and protect your capital.
Feedback and reviews are greatly appreciated. Please share your experience and suggestions for future updates.
Best of luck traders! 指标
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Adaptive Regression Breakout Map | Gainz AlgoThe Adaptive Regression Breakout Map (ARBM) is an advanced volatility and trend-tracking system designed to identify periods of extreme market compression and automatically map out high-probability breakout trades.
Rather than relying on traditional lagging indicators, ARBM utilizes a continuous statistical baseline to measure market "squeezes." Once a breakout is confirmed, the indicator shifts from analysis into execution mode, drawing a dynamic visual map on your chart that outlines precise Entry, Stop Loss, and Take Profit (TP1, TP2, TP3) levels, complete with automated trailing stop logic and a live performance dashboard.
How It Works
At its core, the ARBM operates on a dual-engine architecture:
Statistical Compression (The Squeeze): The script calculates a rolling linear regression baseline and wraps it in standard deviation bands. It continuously measures the width of this channel and compares it to a historical lookback period. When the bandwidth drops into a historically low percentile, the bands change color, signaling that the market is in a "squeeze" and building energy for a move.
Auto-Trendlines: Alongside the statistical bands, the script plots dynamic, auto-trendlines across recent pivot highs (cyan) and lows (magenta). These holographic lines track geometric compression and leave a visual history on the chart.
The Breakout Trigger: A signal is generated when the price violently escapes either the statistical standard deviation bands or the geometric auto-trendlines while the market is in a confirmed contraction state.
Dynamic Trade Mapping: Upon a breakout, the script calculates targets based on the volatility (bandwidth) at the time of the breakout. It plots the trade directly on your chart and actively trails the stop loss as targets are hit.
The Settings and Selections
The indicator is highly customizable, divided into four primary control groups:
Regression Model:
Regression Length: The lookback period for the linear regression baseline.
Deviation Multiplier: The width of the statistical bands (similar to Bollinger Bands).
Contraction Metrics:
Lookback Period: How far back the script looks to determine if the current channel is historically narrow.
Contraction Threshold %: The percentile the bandwidth must drop below to trigger a "squeeze" state.
Target Architecture:
TP1, TP2, TP3 Multipliers: Determines how far away your take profit targets are, dynamically scaled by multiplying the width of the channel at the time of the breakout.
Trendlines Overlay:
Show Holographic Trendlines: Toggle the geometric trendlines on or off.
Pivot Length: Determines how sensitive the script is when identifying the swing highs and lows used to draw the trendlines.
How to Use It
Trading with the ARBM is highly visual and systematic:
Wait for the Squeeze: Watch the regression channel. When the bands turn gray, volatility has compressed, and the market is consolidating.
Wait for the Signal: Look for a "Breakout, Long" or "Breakout, Short" label to appear. This confirms price has broken structure with momentum.
Follow the Map: The script will immediately draw your Entry (Blue), Stop Loss (Red), and three Take Profit targets (Green dashed lines).
Manage the Trade: The indicator handles trade management visually.
When TP1 is hit, the Stop Loss line automatically moves to your Entry price (Breakeven), and a label confirms the trail.
When TP2 is hit, the Stop Loss trails to TP1.
When TP2 is hit, the Stop Loss trails to TP1.
The trade closes entirely if TP3 or the trailing stop is hit. (Note: Hitting TP1 secures a win for the system's tracking, even if the remainder is stopped out at breakeven).
Monitor Performance: A stylized dashboard in the top right corner tracks the total number of signals, the historical Win Rate, and the Trade-by-Trade Sharpe Ratio, allowing you to quickly validate the settings for any given asset or timeframe.
Final Thoughts
The Adaptive Regression Breakout Map removes the guesswork from breakout trading. By combining continuous statistical volatility tracking with futuristic geometric trendlines, it mathematically identifies when a market is ready to move. Furthermore, by drawing the exact risk-to-reward parameters on the chart and tracking its own historical performance, it forces strict risk management and objective trade execution.
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Liquidity Pressure Map Pro Liquidity Pressure Map Pro
Liquidity Pressure Map Pro is an advanced liquidity visualization and market pressure analysis indicator designed to help traders understand where buying and selling interest is building before significant market movements occur. Instead of relying on traditional lagging indicators alone, this tool continuously analyzes price behavior, volatility, market structure, directional momentum, and liquidity distribution to generate a real-time liquidity pressure map directly on the chart.
The primary objective of this indicator is to provide traders with a clear visual representation of where institutional buying pressure and institutional selling pressure are becoming dominant. Markets rarely move randomly. Before major reversals, breakouts, or trend continuations, liquidity begins accumulating in specific price regions. Liquidity Pressure Map Pro is built to highlight these regions so traders can better understand where the strongest market participants are likely becoming active.
Unlike conventional support and resistance indicators that simply plot historical swing levels, this indicator dynamically recalculates liquidity zones as new market data becomes available. Every candle contributes to the evolving liquidity profile, allowing the indicator to continuously adapt to changing market conditions without relying on fixed historical levels.
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Why This Indicator Was Created
Financial markets are driven by liquidity.
Most retail traders only focus on price movement, while professional traders pay close attention to where liquidity is entering and leaving the market. Large institutions cannot instantly execute massive orders. Instead, they gradually build positions in areas where sufficient liquidity exists.
Liquidity Pressure Map Pro was created to make these otherwise hidden market dynamics easier to visualize.
Instead of forcing traders to manually estimate accumulation and distribution zones, the indicator automatically builds a continuously updating liquidity map that highlights:
Areas of strongest buying pressure
Areas of strongest selling pressure
Market imbalance
Bullish vs Bearish dominance
Liquidity concentration
Current trend bias
Overall market pressure
This allows traders to make more informed decisions while reducing emotional trading.
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How the Indicator Works
The indicator continuously processes live market data on every incoming candle.
Internally, it evaluates multiple market characteristics including:
Price structure
Price displacement
Candle positioning
Market momentum
Relative buying pressure
Relative selling pressure
Liquidity distribution
Volatility behavior
Trend direction
Market balance
Using these calculations, it constructs a multi-layer liquidity map around current price.
Each horizontal layer represents a different concentration of market participation.
Instead of displaying only one support or resistance line, the indicator produces a full liquidity profile showing where buying and selling interest gradually increases or decreases across nearby price levels.
As market conditions change, these zones automatically evolve in real time.
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Liquidity Heat Map
One of the core components of the indicator is the Liquidity Pressure Heat Map.
The chart is divided into multiple horizontal liquidity layers.
Green regions represent buying liquidity.
Red regions represent selling liquidity.
The opacity of each zone represents the strength of liquidity at that price.
Light colors indicate weaker liquidity.
Dark colors indicate stronger liquidity concentration.
As price moves, the heat map continuously updates to reflect the latest market conditions.
This creates a visual picture of where buyers and sellers currently hold the greatest influence.
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Dynamic Liquidity Distribution
Unlike fixed supply and demand indicators, the liquidity profile is completely dynamic.
Every new candle slightly modifies the pressure distribution.
If buyers continue entering the market:
Green zones become stronger.
Bullish liquidity expands.
Buy pressure increases.
If sellers gain control:
Red zones intensify.
Bearish liquidity grows.
Selling pressure dominates.
The result is a live liquidity environment that adapts automatically.
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Buy Liquidity Analysis
The indicator continuously estimates bullish market participation.
It measures:
Buy-side pressure
Bullish participation
Upward momentum
Positive market imbalance
These calculations generate the Buy Liquidity value shown on the chart.
A higher Buy Liquidity reading generally indicates stronger bullish participation within the analyzed market.
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Sell Liquidity Analysis
The same process is applied to bearish market activity.
The indicator continuously measures:
Sell-side participation
Downward momentum
Bearish pressure
Distribution activity
These values are displayed as Sell Liquidity.
Higher readings indicate stronger bearish dominance.
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Liquidity Imbalance
Markets rarely remain perfectly balanced.
One side almost always has greater participation.
Liquidity Pressure Map Pro continuously compares both sides.
The difference becomes the Liquidity Imbalance.
Positive imbalance indicates buyers currently dominate.
Negative imbalance indicates sellers currently dominate.
This provides an immediate overview of which side controls the market.
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Trend Detection
The indicator also determines the current directional market bias.
Rather than simply checking whether price is above or below a moving average, trend direction is estimated using the interaction between liquidity pressure, directional momentum, and overall market structure.
Possible trend states include:
Bullish
Bearish
Neutral
The trend automatically updates whenever market conditions change.
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Dashboard
A professional dashboard is displayed in the upper-right corner of the chart.
It summarizes the complete market condition without requiring traders to interpret every liquidity layer manually.
The dashboard displays information such as:
Current Trend
Bullish Percentage
Bearish Percentage
Liquidity Bias
Strongest Buy Zone
Strongest Sell Zone
Market Pressure
Liquidity Imbalance
Bull Meter
Bear Meter
Neutral Percentage
Profile Depth
Sensitivity
Current Timeframe
Signal Quality
Market Condition
Trend Strength
Average Volume
ATR / Volatility
Live Price
This provides a quick overview of current market conditions at a glance.
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Multi-Timeframe Compatibility
The indicator is designed to function across virtually every TradingView timeframe.
It automatically adapts to:
1 Minute
3 Minute
5 Minute
15 Minute
30 Minute
1 Hour
4 Hour
Daily
Weekly
The liquidity profile continuously adjusts based on the active timeframe without requiring separate versions of the indicator.
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Market Applications
Liquidity Pressure Map Pro can assist traders in many market conditions.
Common applications include:
Trend confirmation
Market pressure analysis
Liquidity imbalance identification
Institutional activity visualization
Support confirmation
Resistance confirmation
Momentum validation
Trade filtering
Market bias evaluation
Swing trading
Intraday trading
Scalping
Position trading
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Why It Was Published
This indicator was developed to provide traders with a clearer understanding of how liquidity influences price movement.
Many traders rely exclusively on lagging indicators that react only after significant moves have already occurred. Liquidity Pressure Map Pro aims to offer a different perspective by visualizing evolving market participation and directional pressure in a structured, easy-to-read format.
The purpose of publishing this indicator is to help traders study liquidity behavior, improve market analysis, and make more informed trading decisions through dynamic visualization rather than relying solely on conventional support, resistance, or trend-following methods.
It is intended as an analytical tool that complements a trader's existing strategy, encouraging disciplined analysis and proper risk management instead of serving as a guarantee of future market performance.
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Verification & Developer Clarification
Developer: Michael_Fx_Trader
This indicator has been independently researched, designed, engineered, and programmed by Michael_Fx_Trader from the ground up. Every component—including the liquidity pressure engine, dynamic heat map visualization, market pressure calculations, dashboard architecture, trend assessment logic, liquidity imbalance metrics, user interface, and overall workflow—was created as part of an original development process.
The script represents Michael_Fx_Trader's own implementation and interpretation of liquidity analysis concepts. It is not a copy, clone, port, reverse-engineered version, decompiled adaptation, or modified reproduction of any existing TradingView indicator, proprietary software, commercial product, or third-party Pine Script.
Any broad concepts used—such as liquidity, market pressure, trend analysis, volatility, or support and resistance—are widely known trading principles available throughout the financial industry. However, the methodology used to calculate, combine, display, and present these concepts in this indicator reflects an original implementation created specifically for this project.
The source code, indicator architecture, visualization style, dashboard structure, calculations, parameter organization, and presentation have been independently developed by Michael_Fx_Trader. Any resemblance to other indicators that analyze similar public market concepts is coincidental and should not be interpreted as evidence of copied code or duplicated intellectual property.
This indicator is published as an original analytical tool to assist traders in studying liquidity behavior and market pressure through a unique implementation while respecting TradingView's House Rules, originality requirements, and intellectual property guidelines.
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Price Reaction ZonesPrice Reaction Zones (PRZ) is an advanced structural analytics tool designed for traders who focus on market microstructure, dynamic support/resistance levels, and liquidity sweeps. By blending traditional Change of Character (CHoCH) concepts with a custom-engineered "AXIS Motor", this indicator offers dynamic kinetic sensitivity and highly strategic Fibonacci-based target zones.
This script maps out historical structure ranges, isolates liquidity traps (sweeps), and projects tactical ghost vectors to evaluate micro-trend strength.
Key Features:
1. Smart Market Structure & Dynamic Fib Boxes
When a valid Break of Structure (BOS) or Change of Character (CHoCH) occurs, the indicator identifies the absolute extremes (Highest High and Lowest Low wicks) of the most recently broken structure.
Bullish CHoCH (Upward Break): Creates a dynamic Fibonacci box between 0.318 and 0.500 of the previous downward structure.
Bearish CHoCH (Downward Break): Creates a dynamic Fibonacci box between 0.618 and 0.790 of the previous upward structure.
These boxes act as immediate high-probability reaction zones for the very next wave. An Equilibrium (EQ - 0.5) limit line is also drawn to clearly divide the market bias.
2. External Ranges & Liquidity Sweep Detection
Instead of cluttering the chart with every single swing high or low, PRZ calculates an overarching "External Range" based on a lookback of the last 6 structural phases.
It automatically frames a beautiful Price Range Box mapping the exact tick difference and percentage span of the overarching macro structure.
Rejected Wick Logic (Sweeps): If price pierces the external High or Low boundaries but closes inside the range, a permanent "UP" or "DOWN" text is pinned to that wick. This signals a textbook liquidity sweep (a trap for breakout traders) and potential reversal.
Alerts are fully integrated for UP and DOWN sweep detections.
3. The AXIS Engine & Auto-Kinetic Sensitivity
Unlike static trendlines, the integrated AXIS Engine measures the "Velocity" of the market.
Auto-Kinetic Multiplier: By analyzing the real-time sum of bullish vs. bearish momentum (close to open differences) over a rolling window, the script dynamically adjusts the slope sensitivity of the resistance and support lines entirely independent of one another.
Tactical Ghost Vectors: Projects subtle, short-term momentum paths (Minor Lookbacks) to help you visualize the micro-trend inside the macro-structure, offering early warnings of momentum shifts before structural breaks happen.
4. Highly Customizable Interface
You have complete control over visualization. Tweak kinetic multipliers manually, adjust lookback lengths, alter Fibonacci box colors, and toggle lines to keep your chart as clean or as detailed as you prefer. A minimalist "erdensedat" watermark is embedded dynamically on the chart.
How to Use:
Use the Fibonacci boxes inside the latest active CHoCH range to enter pullbacks.
Watch the boundaries of the macro Price Range Box. Enter mean-reversion trades when "UP" or "DOWN" liquidity sweep labels appear.
Utilize the AXIS lines to trail your stops dynamically based on the current market velocity.
Disclaimer:
This indicator is designed for educational and analytical purposes only. It does not constitute financial advice. Trading in financial markets involves significant risk. The concepts of market structure, CHoCH, and liquidity sweeps are interpretive; always combine this tool with your own risk management strategy and other confluences. Past performance of any setup does not guarantee future results. 指标
Astro Cycle Confluence Swing [Jayadev Rana]Astro Cycle Confluence Swing is an experimental daily-timeframe indicator that builds swing buy and sell signals purely from astronomical time cycles. It reads no price to compute the cycles: every celestial value is a deterministic function of the bar's UTC timestamp, so the cycle track is fixed in advance and does not repaint.
WHAT IT COMBINES
The script fuses eight classic cycle ideas into two composite readings:
1. Lunar synodic phase - new moon and full moon turning points, plus a phase bias.
2. Lunar anomalistic distance - perigee and apogee windows (often associated with volatility).
3. Lunar declination cycle - a tropical-month oscillation (approximate).
4. Solar season and declination - the four Gann cardinal points (equinoxes and solstices).
5. Planetary synodic composite - a weighted sum of cosines of the heliocentric angular separations between planet pairs from Mercury through Saturn. This is an original construction inspired by classic planetary cycle models, not a copy of any specific one.
6. Mercury retrograde window - a synodic inferior-conjunction proxy (approximate).
7. Gann time cycles - calendar-day counts (30, 45, 60, 90, 120, 144, 180, 270, 360) measured from the last confirmed swing pivot.
8. Fibonacci time cycles - Fibonacci day counts (13, 21, 34, 55, 89, 144, 233) from the same anchor.
HOW SIGNALS FORM
Two composites are derived on each bar:
- Net Astro Bias (range -1 to +1): a weighted blend of the directional components (lunar phase, planetary composite, seasonal momentum, lunar declination).
- Turn Energy (range 0 to 1): a weighted blend of the event components (moon phase change, perigee or apogee, cardinal points, planetary composite extreme, Gann and Fibonacci time hits, Mercury station).
A BUY prints when Net Astro Bias crosses up through the bias threshold while Turn Energy is elevated within a small window around an astro event. A SELL is the mirror. Optional filters can also require price to sit at a swing extreme, require a confirming candle, and enforce a minimum bar gap between same-side signals.
INPUTS
- Signal engine: bias threshold, turn-energy threshold and reference, turn window, minimum gap, swing-extreme filter, confirming-candle filter.
- Directional bias weights: per-theory weights and a lunar-bias invert switch.
- Turning-point weights: per-event weights.
- Cycle anchor: swing pivot strength used for the Gann and Fibonacci time counts.
- Display: signal markers, bias background tint, dashboard position, and colors.
DASHBOARD
A table summarizes the current lunar phase and illumination, lunar distance and declination state, season and solar declination, planetary composite value and direction, Mercury direct or retrograde state, days since the anchor, Net Astro Bias, Turn Energy, and the active signal.
ALERTS
Two alertcondition slots (BUY and SELL) plus dynamic alert() calls that name the current ticker.
INTENDED USE
Built for the 1-day timeframe as a swing tool. The dashboard shows a reminder when the chart is not daily. It works on any symbol because the cycles are time-based rather than instrument-based.
LIMITATIONS AND NOTES
- All ephemeris terms use mean orbital elements that are linear in time. They are approximations suitable for multi-day cycle timing, not for arc-second astronomy. Event timing can be off by about a bar.
- Astronomical and astrological market cycles are a speculative and unproven framework. This tool is provided for study and experimentation, not as a forecast.
- The Gann and Fibonacci time anchors update on confirmed pivots, and a pivot confirms only after the pivot-strength number of bars, so those anchor-based rows lag by that many bars. The astronomical crossings themselves are exact and do not repaint.
DISCLAIMER
This script is for educational and informational purposes only. It is not financial advice and does not guarantee any result. Past cycle alignments do not predict future price. Always do your own research and manage your own risk. 指标
Time of Day LevelsThis is an indicator to plot a level that corresponds to a particular time of day (hour and minute) and draw that level as a horizontal line, with text tag, as far through the rest of the day as desired. It is common to plot midnight open and cash market open as levels, but this will give you the ability to plot for other times as well, useful for some trading strategies.
The historically difficult thing to do has been plotting for times that fall in the middle of a time bar, like if you wanted to plot the level for 9:53 on a 5 minute chart. When the level does not correspond to beginning or end of a chart's bar, the code will look back up to 15 minutes into the middle of the bar to find the level. So, it will work will for time bars up to 15 minutes, but may not show the level for larger time bars.
Note: This has not been tested for charts that don't use fixed time bars
For up to 10 time levels, you can specify the following:
Hour: An integer specifying the desired hour in 24 hour format
Minute: An integer specifying the desired minute in that hour
Use Close: If checked will spot the closing value of the specified 1 minute time, otherwise will show the opening value
Tag Text: Text to show to the right of the horizontal line plots for the time level
Extend Minutes: How long, in minutes, to extend the line from the specified time. If set to 0 or 1440, the line will just always be updated to the current day
Color - Style - Width: Specifies the style for the plotted horizontal line
For the text tags, you can specify the following:
Color: The color for all text tags, unless choosing to use the individual line colors
Size: Size of text tags
Offset: The number of bars to the right of the plotted horizontal line before showing the text tag. A value of 0 will place it right next to the horizontal line
Use Line Color: Instead of using the Text Tag Color, text tags will be drawn in the same color as the horizontal line
Show Level: When checked, the price level will be printed to the right of the text tag in parentheses
In Other Settings, you can also force the times to be interpreted as Eastern Standard Time, accounting for daylight savings. Otherwise, local chart time will be used 指标
TJR Smart Money Model [JOAT]TJR Smart Money Model
An original, non-repainting build of the smart-money day-trading sequence: sweep liquidity, wait for a market-structure shift, confirm with SMT, then enter the retrace — timed to killzones.
What it is
Most "smart money" tools just spray BOS and CHoCH labels wherever price crosses a line. This one follows the actual process the method teaches, as an ordered sequence, and only signals when each step has happened in the right order. It is written from scratch; it implements widely-taught price-action concepts (liquidity, structure, displacement, SMT, killzones) rather than reusing anyone's code.
The sequence it trades
• Liquidity sweep — price raids an obvious swing high or low (where stops rest) and closes back inside. The failed raid, not the level itself, is the trigger. Sweeps are tagged, and the swept buy-side and sell-side liquidity are drawn and labelled.
• Market structure shift (MSS) — after the sweep, a displacement candle (a body larger than an ATR multiple) must break the short-term structure in the opposite direction. Structure is tracked one break per level: each swing can only produce one BOS or CHoCH, so the labels land exactly where the shift occurs instead of being repeated on every bar. This is the direct fix for the "random label" problem common to naive structure scripts.
• SMT divergence — an optional confluence filter. Set a correlated instrument and the tool checks whether that instrument confirms the sweep's new extreme. If your symbol makes a new low but the correlated one does not (or the mirror for highs), that break in correlation is flagged as SMT and can be required for entries. It is read with lookahead disabled, so it never borrows future data.
• Entry — once the MSS confirms, the tool marks the discount/premium zone: the fair-value gap left by the displacement, or the 50% equilibrium of the reversal leg. A signal fires when price retraces into that zone and reacts, inside a user-selected killzone (London and New York AM by default). The stop rests beyond the swept liquidity — the level that invalidates the idea — and targets ladder out in R multiples inside red-risk and green-reward boxes with labelled entry, stop and take-profit prices.
The dashboard
An adjustable "process card" shows exactly which stage the market is in right now — hunting a sweep, swept and awaiting an MSS, or shifted and awaiting the entry retrace — plus the bias, the SMT state, the active killzone, a conviction reading, the current signal, and a live first-target-before-stop tally computed on closed bars only.
How to use it
• Works on any asset and timeframe; it was designed for intraday index, forex and futures trading but the logic is scale-independent.
• For SMT, pair correlated instruments (for example two related indices, or two correlated currency pairs). Leave the correlated symbol blank to trade the model without the SMT filter.
• Set the killzones and timezone to the session you actually trade, or disable the killzone filter to see signals around the clock.
• Read the dashboard stage before acting: the model is a sequence, and the highest-quality entries are the ones where sweep, shift, SMT and killzone all agree.
Settings
Pivot strength, displacement size, sweep-to-MSS and MSS-to-entry windows, fair-value-gap and order-block controls, equilibrium band thickness, SMT symbol and toggle, killzone windows/timezone, candle paint, risk padding and target R multiples, plus dashboard controls.
Originality and usefulness
The value is the ordered, gated state machine: a sweep must precede a displacement-qualified structure shift, which arms an equilibrium/FVG entry, optionally cross-checked against a correlated instrument and a session window. The once-per-level structure logic and the confirmed-bar evaluation make the labels and signals precise and non-repainting — which is what separates this from a pile of overlaid smart-money drawings.
Notes and limitations
• The model is selective by design; on quiet days or ranges it may produce few or no setups. That is intended.
• SMT is only meaningful with a genuinely correlated symbol; a poor pairing produces misleading divergence.
• Displacement and sweeps are defined algorithmically and may differ slightly from a discretionary trader's manual reading.
• The win tally reflects only past bars on the current chart and is not a prediction of future results.
• Educational and analytical tool, not financial advice. Manage your own risk.
— made with passion by officialjackofalltrades
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Volatility Drag OscillatorVolatility Drag Oscillator — what is holding exposure costing you, and what does leverage do to it?
Compound growth is g = μ − σ²/2; under leverage, g(L) = L·μ − L²·σ²/2. Return scales with L, drag scales
with L² — which is the whole reason leverage does not raise your probability of success. Volatility is
estimable in hundreds of bars; drift needs decades. So this tool measures only the knowable half:
- DRAG = σ²/2 annualised (Yang-Zhang by default; Close-to-close / Parkinson / Garman-Klass /
Rogers-Satchell selectable to see estimator disagreement = gap-risk information), EWMA-smoothed and
ranked into a percentile so you know if today is a cheap or expensive time to hold.
- DRAG DECOMPOSITION — realised drag split into its exact cumulant pieces: variance (σ²/2) + skew +
excess-kurtosis, shown as "σ² · skw · tail" in %/yr. A fat-tail warning tells you HOW MUCH of your
drag is tails, not just that they exist — and it compares realised drag to its own Gaussian part, so
it can't be fooled by estimator choice.
- LEVERAGE CURVE — drag at 1×/2×/3×, plus break-even L_be = 2μ/σ² and Kelly = μ/σ², shown ONLY as
conditionals on an edge YOU enter. The script never estimates drift, and says why.
READ IT how you like: a familiar 0-100 percentile OSCILLATOR in the pane (cheap<20, expensive>80,
midline 50, like an RSI of holding-cost), or the absolute drag %/yr line. On price, a heat-RIBBON and
green/red regime triangles show cheap→expensive to hold — VOLATILITY regime, direction-agnostic. A red
marker means "expensive, size down", never "go short".
No directional claim and no backtest — there is nothing here to fit. Descriptive risk context, not advice.
Leverage magnifies losses; this shows one cost of it, not all risks. 指标
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Indian Sectors HeatMapA real-time NSE sector dashboard built for intraday traders. Tracks 3 benchmark indices (Nifty 50, Bank Nifty, Midcap 100) and 13 sector indices in a single color-coded table.
Each row shows the last price, daily change%, and gap% (today's open vs yesterday's close) with a green/red gradient so you can instantly spot sector strength and weakness.
Sectors covered: Auto, Financial Services, FMCG, IT, Media, Metal, Pharma, PSU Bank, Realty, Energy, Commodities, Private Bank, Oil & Gas.
Fully customizable — Sort by highest/lowest change or alphabetically, reposition the table anywhere on the chart, and adjust colors to match your theme. 指标
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