Macro Risk SentimentOverview
This indicator provides a simple traffic light for your trading: green means go, red means slow down.
The background color appears directly on your price chart and in the oscillator pane below. When green, macro conditions favor risk assets and you can trade with full conviction. When red, the indicator suggests reducing position sizes, tightening stops, or stepping aside entirely.
The oscillator pane shows the underlying calculation so you can see how close the market is to flipping regimes.
The Core Idea
Markets move in risk cycles. When institutional money is confident, it flows into equities, high-yield bonds, and away from safe havens. When fear takes over, money rotates into treasuries, the dollar strengthens, and volatility spikes.
This indicator reads those flows by monitoring four markets simultaneously:
Risk-On Signals (good for stocks when rising)
TLT - Long-term Treasury bonds
JNK - High-yield corporate credit
Risk-Off Signals (bad for stocks when rising)
DXY - US Dollar strength
VIX - Market volatility
When bonds and credit are strong relative to their recent history while the dollar and volatility are weak, the background turns green. You have a tailwind. When the opposite occurs, the background turns red. You are fighting the current.
How It Works
Step 1: Z-Score Normalization
Each input is converted to a z-score: how many standard deviations the current value is from its 252-day rolling average. This puts all four inputs on a comparable scale regardless of their absolute price levels.
Step 2: Composite Calculation
Macro Score = (TLT z-score + JNK z-score) minus (DXY z-score + VIX z-score)
Risk-on inputs contribute positively when elevated. Risk-off inputs subtract when elevated. The result is clamped between -1.5 and +1.5 and smoothed with EMAs.
Step 3: State Machine
The indicator uses crossover-based transitions with memory:
RISK ON triggers when the smoothed macro line crosses above its signal line.
RISK OFF triggers when the macro line crosses below its signal line, or when price breaks below its EMA while the macro value is negative (double confirmation exit).
How to Use It
Green Background - Full Steam Ahead
Macro conditions support risk-taking. This is when trend-following strategies tend to work best. Use normal position sizes, take breakout trades, and hold winners longer.
Red Background - Reduce Risk
The macro wind is against you. Consider smaller positions, quicker profit-taking, or sitting out entirely. Mean-reversion setups may work better than trend-following during these periods. Many major drawdowns occur during red regimes.
The Oscillator Pane
The colored line is the macro reading, the white line is its signal. When the colored line crosses above the signal, conditions turn bullish. When it crosses below, conditions turn bearish. The zero line represents neutral. Positive values mean macro conditions are better than the one-year average.
What Makes This Original
This implementation combines z-score normalization across multiple asset classes with a state machine approach that reduces whipsaws. The price filter acts as a circuit breaker but only triggers exits when macro conditions are also deteriorating, preventing premature exits during temporary price weakness.
Settings Guide
Main Settings
Z-Score Lookback (default 252) - Period for calculating mean and standard deviation. 252 bars equals one trading year on daily charts.
Macro EMA (default 7) - Smoothing applied to the raw composite score.
Signal EMA (default 8) - Secondary smoothing for the crossover signal line.
Price Filter
Enable Price Filter (default On) - When enabled, price breaking below the EMA triggers an exit only if the macro value is also negative.
EMA Length (default 20) - The EMA period for the price filter.
Data Sources
Each source (TLT, JNK, DXY, VIX) can be enabled or disabled and weighted from 0 to 3. Default is equal weighting (1.0) for all sources.
Limitations
This is a daily-timeframe indicator. On intraday charts, signals reflect yesterday's macro reading until the day closes.
The z-score lookback creates recency bias. What was normal over the past year may not reflect longer-term historical norms.
Intermarket correlations can change. What worked in recent decades may shift in different monetary regimes.
Not all equity drawdowns come with macro warning. Flash crashes and idiosyncratic events can occur without macro deterioration.
The indicator identifies conditions, not predictions. Green does not guarantee gains. Red does not guarantee losses.
Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial advice.
Green background does not mean buy. Red background does not mean sell. These are environmental readings to help you calibrate your risk-taking, not trade signals.
Past intermarket relationships do not guarantee future behavior. Always conduct your own research. Consider your personal risk tolerance. Never risk more than you can afford to lose.
Educational
India Union Budget Days Marker🇮🇳 India Union Budget Day Marker
This indicator marks Indian Union Budget presentation days directly on the chart using a single vertical line, making it easy to visually identify how markets behave around budget announcements.
The dates are hard-coded for historical accuracy and extended to future years based on the standard 1st February schedule.
What this indicator does
Draws one vertical line on each Union Budget day
Covers historical budget dates from 1980 onward
Marks future budget days up to the next 5 years, assuming 1st February
Works on daily and intraday charts
Does not repaint and does not rely on external data
Why this is useful
Study volatility, gaps, and trend behavior on budget days
Analyze pre-budget and post-budget price action
Identify structural changes, continuations, or reversals
Useful for investors, swing traders, and intraday traders
Customization
You can adjust:
Line color
Line style (solid, dashed, dotted)
Line thickness
Important notes
Vertical lines appear only when price data exists for that date
Future budget lines will show automatically when those dates are reached.
Past years include both interim and full budgets where applicable.
Recommended use
Combine this indicator with:
Price action analysis
Trend and bias tools
Volatility or range expansion studies
Event-based market behavior analysis
This indicator is designed to provide context, not signals.
Use it to understand when an important macro event occurred, not to predict market direction.
Optimal Day Trading System🚥 How to Trade with ODTS
The indicator provides visual cues on the chart (triangles) and a real-time Status Table to help you make decisions.
Signal Definitions
Buy Signal (Green Triangle): Price is above the Sunya line and the Primary Cycle is trending up.
Strong Buy (Lime Triangle): All criteria are met, plus the Secondary Cycle has also turned bullish. This indicates "confluence".
Sell Signal (Red Triangle): Price is below the Sunya line and the Primary Cycle is trending down.
Strong Sell (Maroon Triangle): Both Primary and Secondary cycles are aligned with a price break below the Sunya line.
Real-Time Status Table
Located at the top right, this table gives you an instant "health check" of the current asset:
Price > Sunya: Confirms if the current price is above or below the FLD.
Cycle Dir: Shows the slope of the primary trend.
Position: Tells you if price is "Inside" the envelope (ranging) or "Above/Below" (overextended).
📈 Best Practices
Confluence is Key: The strongest trades occur when the Signal column in the table shows "STRONG BUY" or "STRONG SELL," meaning multiple cycles are in agreement.
Envelope Extremes: If the Status Table shows the Position as "ABOVE" or "BELOW" the envelope, be cautious about entering new trades, as the price may be overextended and due for a reversion to the Basis (mean).
Timeframe Synergy: Use the 15-minute timeframe for swing trade entries and the 1-minute or 5-minute for precise day trading executions.
Moon Declination & More [BlueprintResearch]🌒 MOON DECLINATION & MORE
A comprehensive lunar declination visualization showing Moon, Sun, and node declinations, with phase coloring, zodiac sign tracking, and future projections.
Part of the Blueprint Research open-source ephemeris project.
█ WHAT'S INCLUDED
• Moon Declination — The Moon's angular distance from the celestial equator, oscillating rapidly (~27 days)
• Sun Declination — Optional overlay showing the Sun's seasonal declination (±23.4°)
• Node Declinations — North (☊) and South (☋) node lines forming the Moon's orbital envelope
• Future Projections — Project all lines up to 500 bars into the future
• Zodiac Crossing Markers — Indicates when the North Node reaches a particular zodiac degree. Keep in mind, nodes move through the zodiac in reverse.
█ CONCEPTS
Declination measures how far north or south a celestial body appears from the celestial equator. The Moon's declination oscillates rapidly, while its maximum range shifts slowly over the 18.6-year nodal cycle.
Node Declination Envelope:
The North (☊) and South (☋) node lines mark the envelope of the Moon's orbit—the theoretical maximum northern and southern declinations the Moon can reach.
Lunar Standstills:
The 18.6-year nodal cycle determines when the Moon reaches its most extreme declinations. During a major standstill, the Moon can exceed ±28° declination. During a minor standstill, the Moon's range is limited to approximately ±18°.
Out-of-Bounds (OOB):
When the Moon moves beyond ±23.44° declination, it exceeds the Sun's maximum reach and is considered "Out of Bounds."
█ COLORING OPTIONS
Phase Coloring (Moon)
Color the Moon's declination line by lunar phase:
• New Moon (0-90°): Slate silver
• First Quarter (90-180°): Mint
• Full Moon (180-270°): Bright gold
• Last Quarter (270-360°): Soft violet
Zodiac Sign Coloring (Nodes)
Color the node lines by their zodiac sign. When enabled, a color legend appears at the top, showing all 12 signs for reference.
█ ZODIAC FEATURES
Zodiac Sign Coloring
Color the North and South Node lines according to their zodiac sign positions.
Zodiac Crossing
Marks when the North Node crosses a specific zodiac degree. Select any sign and degree (0-29) to track. The North Node moves retrograde through the zodiac over an 18.6-year cycle.
█ RESEARCH FEATURES
Standstill Thresholds
Horizontal reference lines at key declination levels:
• ±28.6° Major Standstill (peak of the 18.6-year cycle)
• ±18.3° Minor Standstill (trough of the cycle)
• ±23.4° Out-of-Bounds threshold
OOB Highlighting
Optional background shading when the Moon exceeds the OOB threshold.
Node Equatorial Crossings
Crosshair markers indicate when the node's declination crosses 0° (equatorial passage).
Reference Line Labels
Labels at projection endpoints with an adjustable offset for readability.
█ FEATURES
• Moon declination with optional lunar phase coloring
• Sun declination overlay
• North and South node declinations (☊ and ☋)
• Future projections up to 500 bars
• Zodiac sign coloring with a color legend
• Zodiac degree-crossing markers
• Node equatorial-crossing markers
• Out-of-Bounds background highlighting
• Reference line labels with offset control
• Customizable line widths and colors
• Informative tooltips for all settings
• Works on all timeframes
█ HOW TO USE
1 — Add the indicator to your chart
2 — Configure which elements to display (Moon, Sun, Nodes)
3 — Enable future projections to view upcoming declination values
4 — Enable Zodiac coloring to track node sign positions
5 — Set a Zodiac Crossing degree to mark when the North Node crosses that point
6 — Enable Standstill Thresholds to show reference lines
7 — Toggle phase coloring to visualize the lunar cycle
█ THEORY
Lunar Theory: ELP2000-82 by Chapront-Touzé & Chapront
Solar Theory: VSOP87 for Sun position and phase calculation
Reference: Meeus, "Astronomical Algorithms" (2nd Ed., 1998)
█ LIMITATIONS
• Truncated ELP2000-82 theory (~10 arcseconds precision)
• Future projections assume consistent bar timing
• Phase coloring uses 4 phases (not the 8 traditional phases)
• Mean nodes only (no perturbation corrections)
█ OPEN SOURCE
Blueprint Research Ephemeris Libraries:
• lib_elp2000_moon — Lunar position and mean node calculations
• lib_vsop_core — Solar position and coordinate utilities
• lib_ephemeris — Unified planetary API
Third-Party Libraries:
• hsvColor by @kaigouthro — HSV color utilities (MPL 2.0)
© 2025-2026 BlueprintResearch (Javonnii) • CC BY-NC-SA 4.0
5-Day & 20-Day Prior MA Lines (Gap Label)
Daily 5 & 20 Moving Average Levels
This indicator plots the Daily 5-period and Daily 20-period moving averages as horizontal levels on any timeframe. Each level starts at the first bar of the trading day and extends only to the current price, keeping the chart clean and focused on the active session.
The levels update once per day using confirmed daily data and are designed to act as intraday bias, support, and resistance references. Labels are aligned on the right side for a minimal, institutional-style presentation.
Useful for:
* Intraday trading on lower timeframes
* Identifying daily trend bias
* Mean reversion and pullback setups
* Futures, stocks, ETFs, and options
No future extension, no repainting, and no unnecessary clutter.
Chuy's Max DrawDownOutput Behavior
0% → no drawdown
-5% → 5% drop from peak
-20% → 20% max drawdown in selected period
PDH/PDL, PWH/PWL, TDH/TDL + Key Levels for Nifty50This indicator plots high-probability intraday and short-term reference zones including Previous Day High/Low (PDH/PDL), Previous Week High/Low (PWH/PWL), Today’s High/Low (TDH/TDL), and key psychological price levels such as the nearest round 1000 level along with +200, +500, and +800 extensions. All levels are displayed as zones rather than thin lines to better reflect real market interaction, liquidity, and reaction areas.
Primarily for Nifty50
Custom Timeframe Candles [Metrify]This script lets you build custom timeframe candles (like 7m, 11m, 2h, 3D, etc.) by manually aggregating price data from a lower chart timeframe.
While it doesn’t fully replace TradingView’s native custom TF — especially in terms of perfect timestamp alignment, it gives you a very close (same calculation) and practical alternative for analysis.
How it works
Candles are manually aggregated from the current chart timeframe
Instead of relying on request.security(), candles are constructed directly from the current chart data.
For best results, use a chart timeframe that is divisible and as close as possible to your custom timeframe
Example: Custom TF = 10m → use 5m chart (1m chart also works, but the gap will be larger and less efficient)
Smaller gaps = cleaner candles, better visual accuracy, and smoother updates
MTF SMA Zones + EMA Trend (Bull & Bear) + EMA DisplayMTF SMA Zones + EMA Trend (Bull & Bear) + EMA Display
[TehThomas] - Aligned Timeframe Liquidity Sweeps█ OVERVIEW
The Liquidity Sweeps ICT MTF indicator automatically detects and visualizes buyside and sellside liquidity levels based on higher timeframe (HTF) swing points. Designed specifically for traders using Smart Money Concepts and ICT (Inner Circle Trader) methodology, this tool helps identify where institutional players are likely hunting liquidity before making directional moves.
█ KEY FEATURES
✓ Automatic ICT-Aligned Timeframe Selection
• Intelligently selects the higher timeframe based on your current chart
• Follows ICT's recommended correlations (5min→1h, 15min→4h, 1h→Daily, etc.)
• No manual timeframe selection needed - adapts automatically
✓ Precise Liquidity Level Placement
• Lines start exactly at the LTF candle that created the HTF swing point
• Searches backwards through historical data to find exact placement
• Eliminates guesswork about where institutional orders cluster
✓ Real-Time Sweep Detection
• Solid lines indicate untouched liquidity (active levels)
• Lines automatically turn dotted when price sweeps through them
• Swept lines stop at the exact bar of the sweep (clean visualization)
• Both wicks and candle bodies trigger sweep detection
✓ Fully Customizable Per Timeframe
• Individual swing detection settings for each HTF (1m, 15m, 1h, 4h, D, W, M)
• Adjust sensitivity to show major levels only or capture granular liquidity pools
• Customizable colors and line width
• Organized settings groups for easy navigation
█ HOW IT WORKS
The indicator identifies swing highs and swing lows on a higher timeframe using pivot point detection. These swing points represent areas where stop-loss orders from retail traders concentrate, creating "liquidity pools" that smart money targets.
Timeframe Alignment (Automatic):
• 15s chart → 1min HTF
• 1min chart → 15min HTF
• 5min chart → 1hour HTF
• 15min chart → 4hour HTF
• 1hour chart → Daily HTF
• 4hour chart → Weekly HTF
• Daily chart → Monthly HTF
Swing Detection:
The indicator uses customizable left/right bar counts to identify valid swing points on the HTF. Default values are optimized per timeframe (e.g., 10 bars for 1h, 5 bars for Daily), but can be adjusted to your preference.
Visualization:
• Green lines = Buyside liquidity (swing highs where long stops sit)
• Red lines = Sellside liquidity (swing lows where short stops sit)
• Solid style = Untouched liquidity
• Dotted style = Swept liquidity
█ SETTINGS
Swing Detection Group:
• Swing Bars - 1 Minute: Default 5 bars
• Swing Bars - 15 Minutes: Default 8 bars
• Swing Bars - 1 Hour: Default 10 bars
• Swing Bars - 4 Hours: Default 6 bars
• Swing Bars - Daily: Default 5 bars
• Swing Bars - Weekly: Default 3 bars
• Swing Bars - Monthly: Default 2 bars
Tip: Increase values for cleaner charts with major levels only. Decrease for more sensitive detection.
Display Group:
• Buyside Liquidity Color: Default green
• Sellside Liquidity Color: Default red
• Line Width: Adjustable 1-5
█ HOW TO USE
Reading the liquidity levels:
🟢 Green solid line = Untouched buyside liquidity (potential magnet for price)
🔴 Red solid line = Untouched sellside liquidity (potential magnet for price)
🟢 Green dotted line = Swept buyside liquidity (bulls trapped)
🔴 Red dotted line = Swept sellside liquidity (bears trapped)
Trading Applications:
1. Liquidity Grab Reversals: Watch for sweeps followed by immediate reversals
2. Stop Hunt Detection: Multiple sweeps often precede strong counter-moves
3. Target Identification: Use untouched levels as potential price magnets
4. Market Structure Analysis: Understand institutional order flow
5. Confluence Zones: Combine with order blocks, FVGs, or other ICT concepts
Best Practices:
• Focus on liquid markets (major FX pairs, indices, large-cap stocks)
• Consider higher timeframe trend - sweeps against trend are higher probability
• Look for liquidity clusters (multiple levels close together)
• Wait for confirmation after sweeps before entering
• Not all sweeps result in reversals - context matters
█ TRADING STRATEGY EXAMPLES
Liquidity Sweep Reversal:
1. Identify untouched liquidity level
2. Wait for price to sweep through (line turns dotted)
3. Look for reversal price action (engulfing, rejection)
4. Enter in reversal direction with stop beyond the sweep
5. Target next liquidity level or structure
Liquidity-to-Liquidity:
1. Price sweeps sellside liquidity (red dotted)
2. Enter long positions
3. Target buyside liquidity above (green solid)
4. Exit when buyside liquidity is swept
█ IDEAL FOR
• ICT Methodology Traders
• Smart Money Concept Practitioners
• Liquidity-Based Strategies
• Multi-Timeframe Analysis
• Price Action Traders
• Stop Hunt Avoidance
█ TECHNICAL SPECIFICATIONS
• Maximum Lines: 500
• Lookback Range: Up to 1000 bars for precise placement
• Compatible: All markets and timeframes
• Data: Works on both real-time and historical bars
█ NOTES & DISCLAIMERS
• This indicator is a tool for analysis, not a standalone trading system
• Always use proper risk management and combine with other analysis
• Performance may vary across different markets and conditions
• Based on ICT concepts - familiarity with Smart Money trading is recommended
█ LIQUIDITY FOR SINGLETIMEFRAMES
If you prefer normal liquidity lines you can use my other free liquidity indicator
Advanced Bull-Bear Power IndicatorAdvanced Bull–Bear Power Indicator
The Advanced Bull–Bear Power Indicator is a momentum and market strength tool that quantifies the balance of power between buyers (bulls) and sellers (bears) over a selected lookback period. Rather than focusing only on price direction, it measures how much effort each side applies to move the price, combining both candle magnitude and candle frequency into a normalized strength metric.
How It Works
For every candle, the indicator calculates the absolute percentage change between the open and close. This represents the true price effort of that candle, independent of direction.
Each candle is then classified:
- Bullish candle: close > open
- Bearish candle: close ≤ open
Bullish candles contribute their strength only to bulls, while bearish candles contribute only to bears.
Over the selected period, the indicator computes:
- Average bullish candle strength
- Average bearish candle strength
- Percentage of bullish candles
- Percentage of bearish candles
Using the average strength values, a Power Ratio is calculated:
Power Ratio = Bull Avg / (Bull Avg + Bear Avg) × 100
This produces a clean 0–100 scale:
- Above 50 → Bullish dominance
- Below 50 → Bearish dominance
Visual Interpretation
The main line represents the Bull–Bear Power Ratio. Color gradients reflect dominance, where green tones indicate bullish control and red tones indicate bearish control.
Key reference levels:
- 50 → Neutral balance
- 60 → Strong bullish dominance
- 40 → Strong bearish dominance
Background highlights appear in extreme conditions:
- Above 70 → Extreme bull pressure
- Below 30 → Extreme bear pressure
Statistics Table
An optional statistics table displays:
- Average bullish strength
- Average bearish strength
- Bullish and bearish candle ratios
- Current power ratio
- Market state classification (Strong Bull, Weak Bull, Weak Bear, Strong Bear)
This allows quick assessment of whether dominance comes from consistent pressure or isolated strong moves.
Alerts
Alerts are triggered when:
- Power crosses above 60 → Strong bullish momentum
- Power crosses below 40 → Strong bearish momentum
- Power crosses 50 → Market balance shift
Practical Applications
This indicator can be used for trend strength confirmation, detecting early dominance shifts before breakouts, filtering trades in sideways or low-quality markets, and comparing momentum quality across assets or timeframes.
Key Insight
This indicator does not simply ask “Is price going up or down?”
It answers a more important question:
Which side is truly exerting more force on the market right now?
Disclaimer
This indicator should not be used as a standalone decision-making tool. It is designed to complement other forms of technical, fundamental, or contextual analysis. Always confirm signals with additional indicators, market structure, and risk management techniques. The user is solely responsible for any trading decisions made using this indicator.
Intraday Toolkit1. Visual Components of the Indicator
Understanding the visual cues is essential for quick decision-making during fast-moving intraday sessions:
Trend Background: The background color represents the Primary Cycle (80-period) bias. Green indicates a bullish trend (price is above the primary cycle), and red indicates a bearish trend (price is below the primary cycle).
The Three Cycles:
Yellow Line: Short Cycle (20) – Used for momentum triggers.
Orange Line: Mid Cycle (40) – Represents the baseline for volatility envelopes.
Red Line: Primary Cycle (80) – Defines the overall trend direction.
Volatility Envelopes: Two green lines plotted at a distance (1.5x ATR) from the Mid Cycle. These act as exhaustion zones where price is likely to revert or consolidate.
Rule 3 Signals (Purple Circles): These appear when a specific 3-candle momentum breakout occurs.
2. Trading Strategy for 5m & 15m
This toolkit is most effective when you use the 15m chart for trend confirmation and the 5m chart for precise entries.
Long (Buy) Setup
Enter a long position when the following alignment occurs:
Bullish Bias: The background must be Green (Price > Primary Cycle).
Cycle Low: A pivot low must have been detected (the indicator identifies a local bottom).
Momentum Trigger: Price must close above the Yellow Short Cycle line while the previous candle was below it.
Rule 3 Confirmation: If a purple circle appears simultaneously, it confirms strong buying momentum.
Short (Sell) Setup
Enter a short position when the following alignment occurs:
Bearish Bias: The background must be Red (Price < Primary Cycle).
Cycle High: A pivot high must have been detected (the indicator identifies a local top).
Momentum Trigger: Price must close below the Yellow Short Cycle line while the previous candle was above it.
Rule 3 Confirmation: A purple circle above the price confirms a bearish momentum shift.
3. Exit and Take-Profit Logic
The script includes "State Control" to manage your exits effectively:
Targeting the Envelopes: The primary profit target is the Outer Green Envelope. If price touches the upper envelope (for longs) or lower envelope (for shorts), the trend may be exhausted.
Momentum Exit: If price crosses back over the Yellow Short Cycle line in the opposite direction of your trade, the toolkit considers the move over and signals an exit.
4. Specific Tips for Day Trading
Avoid "Counter-Trend" Signals: Do not take Buy signals if the background is Red, or Sell signals if the background is Green. The logic is built to filter these out for better win rates.
The "Rule 3" Advantage: Use the purple circles as a "second chance" entry. If you missed the initial Buy/Sell signal, a Rule 3 circle indicates momentum is still strong in that direction.
Timeframe Synergy: * 15m: Best for seeing the "Big Picture" and avoiding noise.
5m: Best for finding entries with smaller stop-losses near the Yellow Short Cycle line.
Inside Bar Breakout ( candlestick pattern).📌 What Is This Indicator?
BOIB Pro identifies a very strict form of inside bar:
✅ The inside bar candle’s entire range (body + wicks) must be inside the BODY of the previous candle (mother candle).
❌ If even a single wick is outside the mother body, the setup is rejected.
This filters out weak and noisy inside bars and focuses only on true compression candles.
⸻
📐 Pattern Rules (Strict)
1️⃣ Mother Candle
• The candle immediately before the inside bar
2️⃣ Body-Only Inside Bar (BOIB)
A valid BOIB must satisfy:
• Inside bar high ≤ mother candle body high
• Inside bar low ≥ mother candle body low
⚠️ Normal inside bars (inside wicks only) are ignored.
⸻
⏱️ Breakout Window Logic
After a valid BOIB forms:
• The indicator waits for the next 1 to 5 candles (user-configurable)
• Entry is triggered only if price CLOSES outside the BOIB range
✅ Long Signal
• Candle closes above BOIB high
✅ Short Signal
• Candle closes below BOIB low
If no breakout occurs within the window → setup expires automatically
⸻
🎯 Entry, Stop Loss & Take Profit Logic
Once a valid breakout/breakdown occurs, the indicator automatically draws a professional trade template:
Entry
• At the close of the breakout candle
Stop Loss
• Long → below BOIB low
• Short → above BOIB high
• Optional buffer:
• ATR-based
• Percentage-based
• Or none
Take Profits
• TP1: Risk-Reward based (default 1R)
• TP2: Extended target (default 2R)
All levels are clearly visualized using:
• Horizontal price lines
• Risk and reward boxes
• Informational labels
⸻
📊 Best Use Cases
• Crypto (BTC, ETH, major alts)
• Timeframes:
• Scalping: 5m
• Day trading: 15m / 30m
• Works best when combined with:
• Market structure
• Trend bias
• Support / resistance
⸻
⚠️ Important Notes
• This is NOT an auto-trading system
• Signals should always be used with:
• Proper risk management
• Market context
• Inside bars in sideways or low-volume markets may fail
⸻
📚 Educational Purpose Disclaimer
This indicator is provided for educational and analytical purposes only.
It does not constitute financial advice.
Trading involves risk, and past behavior does not guarantee future results.
TASC 2026.02 Portfolio Diversification█ OVERVIEW
This indicator is a simplified framework for analyzing hypothetical portfolios, based on the concepts in the February 2026 edition of the TASC Traders' Tips , "Foundational Portfolio Design, Not Stock-Picking”. It requests datasets for spread symbols that represent weighted combinations of user-selected or predefined instruments, compares the returns in the data to those of a selected benchmark, and calculates risk-related metrics.
█ CONCEPTS
One of the core concepts of portfolio design is diversification. A diversified portfolio distributes market exposure across multiple, ideally uncorrelated, instruments to reduce potential risks. Investors often diversify their portfolios by allocating capital to instruments from different classes, sectors, or regions rather than investing in only a single instrument or multiple related instruments.
As described in the article, the motivation behind creating diversified portfolios is simple:
"No single position should have the capacity to sink the entire portfolio."
This indicator estimates a portfolio's performance by requesting combined price data for spread symbols from user inputs or predefined options, and then analyzing the data's annual arithmetic returns alongside those of a specified benchmark instrument. It displays the returns of the spread and the benchmark in a table at the bottom left.
The indicator also displays the following metrics described in the article in a table at the bottom right of the pane for additional performance information:
Max drawdown: The maximum drop in the portfolio's value from a local peak.
Standard deviation: The dispersion of portfolio values relative to their mean.
Sharpe ratio: The ratio of excess returns in an investment compared to a hypothetical risk-free rate of return.
Pain index: A measure of risk based on the depth, duration, and frequency of losses. The metric in this script considers only the bars where drawdown is nonzero.
Ulcer index: A measure of downside risk based on the root mean square of drawdowns. The metric in this script considers only the bars where drawdown is nonzero.
Correlation: The Pearson correlation coefficient between the returns of the hypothetical portfolio and those of a selected benchmark.
The first five metrics are direct risk measures. The correlation metric helps assess whether the hypothetical portfolio closely follows the broader market. High correlation with a broad benchmark might indicate an elevated sensitivity to systematic risk.
█ USAGE
Users can select a combination of up to 10 symbols with specific weights to construct a hypothetical portfolio to analyze. Alternatively, users can select a predefined combination of symbols and weights based on the article's examples of optimized portfolios for different levels of risk tolerance.
The script plots the calculated returns from the selected combination and the benchmark instrument for visual comparison. It also generates tables to compare returns and display risk metrics.
Note: This indicator is intended to provide a simplified demonstration of portfolio concepts, and some metric calculations differ slightly from those in the article. The script does not produce any signals, and the calculated metrics are estimates intended for EOD timeframes such as 1D. If the hypothetical portfolio consists of instruments with different sessions, we recommend using 1W or a higher timeframe.
█ INPUTS
Benchmark: The symbol of the instrument to compare against the hypothetical portfolio.
Portfolio Type: Choose between named options for predefined portfolio configurations based on risk profiles outlined in the article. To create a custom portfolio from up to 10 symbols, select "Custom" and adjust the 10 sets of inputs below.
Risk-free rate: The hypothetical annual risk-free rate for the Sharpe ratio.
Periods per year: If not zero, the script uses the value as the number of bars per year for annualization, which affects Sharpe ratio and standard deviation metrics.
Display Toggles: The display for the returns and metrics tables can be toggled on or off.
XRP Athey Mitchnick Implied Price (Ramp + Analytical 2030 Label)This indicator implements a fundamental valuation framework for XRP based on the Athey–Mitchnick cryptoasset valuation model. Unlike traditional technical indicators (RSI, MACD, etc.), this tool is not designed to predict short-term price movements. Instead, it models what XRP should be worth over time under explicit adoption and demand assumptions.
It answers the question:
If XRP becomes a real settlement rail and a long-term store of value, what price would be required for the system to function?
What This Indicator Adds
This implementation extends the static Athey–Mitchnick model by introducing a time-based ramp:
1. Adoption grows over time
You specify:
TV CAGR (%)
SoV CAGR (%)
These values compound annually from a start date to an end date (e.g., 2030), producing a dynamic implied valuation curve.
2. Terminal 2030 price is computed analytically
The indicator explicitly computes the implied price at the target year (e.g., 2030) and displays it as:
“2030 Implied Price = $X”
This is done analytically, so the chart does not need to extend to 2030 for you to see the terminal valuation.
3. This is not a trading indicator
This model is not designed for:
Scalping
Breakouts
Entry timing
Momentum trading
It is designed for:
Long-term valuation anchoring
Scenario modeling
Macro thesis testing
Adoption-based forecasting
Narrative vs fundamentals comparison
How to Read the Chart
Market Price (Close)
This is the actual XRP market price. It reflects:
Speculation
Liquidity
Leverage
Narrative
Emotion
Implied Price (Ramp)
This is the fundamental valuation curve.
It shows what XRP’s price would need to be at each point in time for your adoption and store-of-value assumptions to be true.
Bands (Optional)
The ±% bands are valuation tolerance zones. They are not volatility bands.
They help visualize:
Overvaluation
Undervaluation
Reversion zones
2030 Label
The label:
2030 Implied Price = $X
represents the terminal valuation implied by your assumptions. This is the most important output of the model.
What Makes the Price Go Higher
To increase the implied 2030 price, one or more of these must change:
1. Higher Transaction Adoption (TV)
Inputs:
TV0
TV CAGR %
This reflects real-world economic usage.
Higher TV means XRP is settling more real value per day.
Examples:
Cross-border payments
Tokenized assets
Treasury settlement
Interbank liquidity rails
2. Higher Store-of-Value Demand (SoV)
Inputs:
SoV0
SoV CAGR %
This reflects long-term holding demand.
This is the most powerful driver of long-term price.
It models:
Institutional holdings
Strategic reserves
Collateral usage
Long-term investor behavior
3. Lower Velocity
Input:
Velocity V
Lower velocity means XRP must be held longer to support the same transaction volume.
This implies:
Reserve-like behavior
Collateralization
Treasury holding
Structural stickiness
Price is inversely proportional to velocity.
4. Lower Effective Supply
Inputs:
Supply0
Supply CAGR
Supply cap
If XRP becomes locked, escrowed, staked, or structurally held, the effective circulating supply shrinks, increasing price.
Why This Matters
Most crypto price models are:
Technical
Reflexive
Narrative-driven
Non-falsifiable
This one is:
Structural
Adoption-based
Testable
Falsifiable
If XRP never achieves the adoption implied by your inputs, the model will not justify high prices.
This indicator is a forward-looking valuation engine, not a trading tool.
It shows:
What XRP’s price must be for your beliefs about its future to be true.
It forces clarity.
It forces discipline.
And it converts stories into structure.
myZones [eFe]myZones
This indicator is designed for traders utilizing Smart Money Concepts (SMC) and Price Action , focusing on the precise validation of market structure. Unlike standard pivot indicators that look at neighboring bars, myZones uses a logic based on "Inducement" or "Candle Validation".
🟢 Concept: Valid Highs & Lows
The core of this indicator is how it defines a structural point:
Valid High : A high is only valid (confirmed) when a subsequent candle closes below the low of the specific candle that made that high.
Valid Low : A low is only valid (confirmed) when a subsequent candle closes above the high of the specific candle that made that low.
This method helps filter out noise and identifies true structural points that the market has committed to.
🔵 Features
1. Structural Markers
Visualizes confirmed Tops (Valid Highs) and Bottoms (Valid Lows) with customizable icons (Triangles, Circles, Diamonds, etc.).
2. Break of Structure (BOS) / MSS Zones
When price breaks a Valid High , a Bullish Structure Break occurs.
When price breaks a Valid Low , a Bearish Structure Break occurs.
Zones : The indicator draws a visual "Zone" connecting the broken structure level to the candle that broke it.
Zone 1 : Usually indicates the first break (Market Structure Shift / MSS) signaling a potential reversal.
Zone 2+ : Indicates trend continuation (BOS).
3. Real-Time Validation Line
A dashed line tracks the current "Candidate" High or Low level.
It shows you exactly where the candle needs to close to confirm the current structure point.
⚙️ Settings
Valid Highs & Lows : Customize marker style, size, and colors.
Validation Line : Toggle the visual aid for pending structure validation.
Zones :
Show Lines : Dropdown to select "None", "Zone 1 (MSS)", or "All (MSS + BoS)".
Zone Fills : Separate dropdowns for Bullish and Bearish fills. Use this to create a unique setup—for instance, show all Bullish zones to track a sub-trend, but only show Zone 1 for Bearish zones to spot major reversals.
Colors : Fully adjustable transparency and colors.
Usage Tip :
Use "Zone 1" fills to easily spot potential reversals (MSS), and use the Validation Line to anticipate when a new structural point is about to be confirmed in real-time.
Institutional Flow DetectorOverview
InstFlow 1S Delta identifies institutional order flow by analyzing volume anomalies and directional bias using 1-second sub-bar data. The indicator detects when large players are likely entering or exiting positions, providing actionable trade recommendations with confidence scoring.
Unlike traditional volume indicators that only show total volume, InstFlow breaks down each bar into 1-second micro-bars, classifies buying vs selling pressure, and identifies statistically significant volume events that likely represent institutional activity.
How It Works
1-Second Delta Analysis
The indicator fetches all 1-second bars within each candle and classifies each micro-bar as buying (close ≥ open) or selling (close < open). This achieves ~85-90% directional accuracy compared to ~55-65% from traditional bar-based methods.
Delta = Buy Volume - Sell Volume
Delta Ratio = |Delta| / Total Volume
Volume Anomaly Detection (Z-Score)
Volume is compared to a rolling 20-bar average using statistical z-scores:
- T1: Z-Score ≥ 1.5 (top ~7% of volume bars)
- T2: Z-Score ≥ 2.0 (top ~2% of volume bars)
- T3: Z-Score ≥ 3.0 (top ~0.1% of volume bars)
Signal Types
- Big Trades (T1/T2/T3) : Unusual volume with clear directional bias
- Absorption (ABS) : High volume + small price move + delta imbalance = hidden liquidity absorbing orders
- Exhaustion (EXH) : Capitulation pattern - big flush followed by immediate reversal with opposing delta
- Divergence (DIV) : Price and cumulative delta disagreeing over 5 bars
ACTION Recommendation System
Synthesizes all signals into a single trade direction (LONG/SHORT/WAIT) with confidence scoring (1-10):
- Exhaustion signals: +5 points (strongest reversal)
- Counter-trend absorption: +4 points
- Volume tier: +1 to +3 points
- Divergence confirmation: +2 points
- Strong trend (ADX>30): +1 point
- High delta imbalance (>50%): +1 point
Features
Real-time 1-second delta classification for accurate buy/sell detection
Statistical volume anomaly detection adapts to each instrument
Absorption detection finds hidden liquidity/iceberg orders
Exhaustion patterns catch capitulation reversals
Delta divergence warns of weakening moves
ACTION + Confidence system provides clear trade recommendations
Price-locked markers stay fixed at detection level (don't float)
Info table displays all metrics in real-time
RTH session filtering
Comprehensive alert conditions
Settings Guide
Detection Settings
Volume Lookback (20): Bars for calculating average volume and standard deviation
T1/T2/T3 Thresholds : Z-score thresholds for volume tiers. Lower = more signals.
1-Second Delta
Delta Resolution (1S): Use 1S for ES/NQ. Try 5S if 1S unavailable.
Min Delta Imbalance (10%): Minimum ratio to classify direction.
Absorption Detection
Min Volume Multiple (1.2x): Volume must exceed average by this multiple
Max Price Move Multiple (0.5x): Price move must be less than this × average range
Delta Imbalance Threshold (20%): Minimum delta ratio for absorption
Exhaustion Detection
Minimum Tier for Flush (T1): Required volume tier for the flush bar
New High/Low Lookback (10): Bars to check for price extremes
Min Reversal Size (0.3x ATR): Required body size for reversal bar
Divergence Detection
Divergence Lookback (5): Bars to compare price vs cumulative delta
Delta Trend Threshold (0.4): Sensitivity for divergence detection
How to Use
Add to ES, NQ, MES, or MNQ chart (1-5 minute timeframe)
Check 1S Data quality in table (green = 30+ bars = reliable)
Monitor ACTION field for trade direction
Use Confidence score for position sizing: HIGH (7+) = full size, GOOD (5-6) = standard, MED (3-4) = reduced
EXH signals are highest priority reversals
ABS + DIV combination is strong reversal confirmation
T2/T3 with trend are continuation signals
Avoid counter-trend T1/T2 without EXH/ABS/DIV confirmation
Visual Guide
Green circles below bar = Buy pressure (T1 small, T2 medium, T3 large)
Red circles above bar = Sell pressure (T1 small, T2 medium, T3 large)
Purple diamond + "ABS" = Absorption detected
Cyan label + "EXH" = Exhaustion pattern
Orange triangle + "DIV" = Delta divergence
Yellow background = Counter-trend warning
Best Practices
Trade during RTH (9:30am - 4:00pm ET) for most reliable signals
Wait for HIGH or GOOD confidence before full position
Use EXH as primary reversal trigger
Check cumulative delta supports trade direction
Combine with price action and support/resistance levels
Limitations
Requires 1-second data availability (ES, NQ, MES, MNQ have this)
ETH signals less reliable due to lower volume
EMA-based trend lags on sharp reversals
Not suitable for stocks without adjusting parameters significantly
Absorption/Exhaustion patterns may not occur every session
Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial advice.
Past performance does not guarantee future results
The indicator shows where institutional activity is LIKELY - it does not predict the future
Always conduct your own research and analysis
Never risk more than you can afford to lose
Paper trade any new strategy before using real capital
Momentum Screener: 1M/3M/52W HighThis script is a specialized momentum-tracking tool designed to identify "Stage 2" breakout candidates and high-growth stocks. It filters for three specific technical strengths simultaneously, ensuring you are only looking at tickers with both short-term explosive growth and long-term trend confirmation.
Order Blocks & Breaker Blocks Destek DirencOrder Blocks & Breaker Blocks Destek Direnc Al Sat Bölgeleri
The Fantastic 4 - Momentum Rotation StrategyOverview
The Fantastic 4 is a tactical momentum rotation indicator. It rotates capital monthly across four carefully selected assets based on their 75-day Rate of Change (ROC), allocating only to assets with positive momentum and proportionally weighting them by their momentum strength.
This indicator tracks the strategy's historical performance, displays current allocation recommendations, and sends monthly rebalance alerts so you can easily manage your portfolio. Simply set your capital amount and the indicator shows exactly how much to invest in each asset.
Why These Four Assets?
The selection of 20-year Bonds, Gold, Russell 2000, and Emerging Markets is based on their specific volatility and decorrelation characteristics, which allow the strategy to react quickly to market shifts while providing protection during downturns.
Russell 2000 (Small Caps)
Chosen over the S&P 500 because it is more "lively" and active (Nowadays you could use also the Nasdaq). Its trends are steeper and more vertical, making it easier for a momentum indicator to catch clear trends. While the S&P 500 has more inertia, the Russell 2000 develops faster, allowing the strategy to capture gains in shorter periods.
Emerging Markets
Included because they can act like a "rocket," offering explosive growth potential while maintaining high decorrelation from developed equity markets. When emerging markets trend, they trend hard.
20-Year Bonds
Selected because they are the most decorrelated asset from equities. When a stock market crash occurs, capital typically flows into fixed income, and long-term bonds (20-year) notice this influx the most, making their price reaction more significant and easier to trade. This is the strategy's primary "safe haven."
Gold
Along with bonds, gold serves as a defensive asset providing a "shield" for the portfolio when general market conditions deteriorate. It offers additional decorrelation and crisis protection.
How the Strategy Works
The 75-Day Momentum Engine
The strategy uses a 75-day momentum lookback (roughly 3.5 months), which is considered very "agile" compared to other models like Global Equity Momentum (GEM) that use 200-day periods. This shorter window allows the strategy to:
React quickly to changes in trend
Catch upward movements in volatile assets early
Exit quickly when trends break
Monthly Rebalancing Process
At the end of each month:
Step 1: Calculate 75-day ROC for each asset
Step 2: Filter out assets with negative momentum (they receive 0% allocation)
Step 3: Distribute capital proportionally based on momentum strength
Step 4: Apply 5% minimum threshold (smaller allocations become zero)
Step 5: Apply 80% maximum cap (no single asset exceeds 80%, remainder stays in cash)
The 80% Ceiling Rule
There is an 80% investment ceiling for any single asset to prevent over-exposure. If only one asset (like bonds) has positive momentum, 80% goes to that asset and 20% remains in cash/liquidity.
Behavior in Bearish Markets
When markets turn bearish, the strategy protects capital through several mechanisms:
Automatic Risk-Off
Because the strategy only invests in assets with positive momentum, it automatically moves away from crashing equities. If an asset's trend becomes negative, the strategy stays "on the sidelines" for that asset.
The Bond Haven
During prolonged bearish periods or sudden crashes (like COVID-19), the strategy typically shifts into 20-year bonds. During the COVID-19 crash in March 2020, while global markets were collapsing, strategies like this reportedly yielded positive returns by being positioned in bonds.
Full Liquidity Option
If no assets show positive momentum, the strategy moves to 100% cash. This is rare given the decorrelation between the four assets—when equities crash, bonds and gold typically rise.
What This Indicator Does
This is a tracking and alerting tool that:
Calculates the optimal allocation based on current momentum
Shows historical monthly performance of the strategy
Simulates portfolio equity growth from your specified starting capital
Displays exact dollar amounts to invest in each asset
Sends monthly rebalance alerts with complete instructions
Detects missing data to prevent false signals
Features
Dynamic allocation table showing weights, dollar amounts, and ROC values
Monthly returns history with color-coded performance
Data availability detection with visual status indicators
Configurable alerts for rebalancing, go-to-cash, and missing data
Simulated equity curve from initial capital
Settings Guide
Assets
Configure your four ETFs. The default European ETFs are:
Asset 1 - XETR:IS04: iShares 20+ Year Treasury Bond (Bonds)
Asset 2 - XETR:GZUR: Gold ETC
Asset 3 - XETR:XRS2: Xtrackers Russell 2000 (Small Caps)
Asset 4 - XETR:XMME: Xtrackers Emerging Markets (EM)
For US markets, consider: TLT (20-year bonds), GLD (Gold), IWM (Russell 2000), EEM (Emerging Markets)
Strategy Settings
ROC Period - Momentum lookback in daily bars. Default: 75 days (~3.5 months)
Max Allocation % - Maximum weight for any single asset. Default: 80%
Min Allocation % - Threshold below which allocation becomes zero. Default: 5%
Capital
Initial Capital - Your portfolio value. The indicator calculates exact amounts for each asset based on this. Default: $20,000
Display
Table Positions - Position the allocation and history tables on screen
Months of History - How many past months to display (3-24)
Alerts
Monthly Rebalance Alert - Sends complete allocation details at month end
Go-to-Cash Alert - Alerts when all assets have negative momentum
Missing Data Alert - Warns when asset data is unavailable
How to Use
Initial Setup
Add indicator to any chart and switch to MONTHLY timeframe
Configure your four ETF tickers
Set your portfolio capital amount
Position the tables where you prefer
Setting Up Alerts
Click Alert button or press Alt+A
Set Condition to "Fanta4"
Select "Any alert() function call"
Choose notification method (Email, Push, Webhook, etc.)
Set expiration to "Open-ended"
Monthly Workflow
Receive rebalance alert at the start of each month
Alert shows exact percentages AND dollar amounts for each asset
Adjust your portfolio accordingly
No action needed during the month
Reading the Tables
Green = positive returns/momentum
Red = negative returns/momentum
Orange "N/A" = missing data
Alloc column shows weight distribution (e.g., "45/35/20/—")
Alert Message Example
Monthly alerts include:
Target month for the new allocation
Current portfolio value
Each asset's percentage AND dollar amount
Each asset's momentum (ROC) value
Cash allocation if applicable
Total return since inception
Historical Context
This strategy combines elements of:
Dual Momentum (Gary Antonacci) - Relative and absolute momentum
Global Equity Momentum (GEM) - But with shorter 75-day vs 200-day lookback
Risk parity concepts - Decorrelated asset selection
The key innovation is the specific asset selection optimized for momentum trading and the agile 75-day lookback period that allows faster reactions to trend changes.
Data Requirements
The strategy activates only when all four assets have valid price data (minimum 75 days of history). The data status row shows checkmarks for available data. Note: Some ETFs have limited history (e.g., XMME data starts June 2017).
Limitations
This is a tracking indicator, not an automated trading system
Past performance is hypothetical and does not guarantee future results
Requires all four assets to have valid data; partial allocation not supported
Monthly rebalancing may miss shorter-term momentum shifts
Transaction costs, slippage, and taxes are not included in simulation
ETF availability and liquidity vary by region
The 75-day momentum may whipsaw in choppy, trendless markets
Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial advice.
Version History
v1.0 - Initial release with momentum rotation, allocation tables, data validation, and monthly alerts
KJ Sessions (Today Only): Asia/London/US + OverlapKJ Sessions : Asia/London/US + Overlap.
best for people to clearly mark Asia, UK and US opening and closing timing.
logger.DEMO◼ Objective
This is an accompanying script to logger library. As the library has lot of logging features, this script demonstrates how all fields and methods interact to display logs on screen.
Please always use the latest version of the library and the key information functions
◼ How to access help and info about this library
Import the latest version of Library, call logger.overview(), and hover mouse over overview() to see help in Editor!
import GETpacman/logger/4 as logger
logger.overview() => Help and general information
logger.sampleCode() => Sample Code Usage
logger.fields() => For listing all fields
logger.methods() => For listing of all methods
Market Info & Performance Boxi just like to see these metrics on the chart. Play it with and make it look better if you want. This way I can have the whole screen just for the chart.
