Liquidity Sweep & Reversal MapLiquidity Sweep & Reversal Map (LSRM) is a visual tool designed to help traders study how price interacts with key liquidity areas such as daily highs, daily lows, previous-day levels, and potential sweep zones. Its purpose is to map structure, highlight volatility around major reference points, and visualize how price behaves after taking liquidity.
This indicator does not attempt to predict market direction. It simply identifies conditions where price has interacted with a known reference level and marks that interaction for user analysis.
🔍 What This Indicator Shows
1. Key Liquidity Reference Levels
The script automatically draws and updates the following levels:
TH — Today’s High
TL — Today’s Low
PDH — Previous Day High
PDL — Previous Day Low
These levels are widely monitored by many traders and can be helpful when studying liquidity behavior and intraday volatility.
2. Liquidity Sweeps
A liquidity sweep occurs when:
Price briefly moves beyond a major high or low
And then closes back within the prior range
The indicator marks detected sweep interactions with:
BS (Bullish Sweep) when liquidity is taken below a low
SS (Bearish Sweep) when liquidity is taken above a high
A sweep only appears after the bar has closed, helping users analyze completed price structure.
3. Optional Sweep Zones
When enabled, the tool draws a shaded zone between:
The swept wick
The reference level
This can help highlight areas where liquidity was taken.
4. Volume & Candle Filters
The indicator includes optional filters such as:
Relative volume spikes
Strong candle body requirement
These filters are provided only to refine the visual highlight of sweeps; they do not constitute trading signals.
🎛 Customization
Users can configure:
Instrument presets
Sweep buffers
Volume sensitivity
Line visibility and thickness
Label display
Zone visibility
All settings are optional and intended for chart annotation only.
⚠️ Important Notes
This tool is not a trading system, signal generator, or strategy.
It does not provide buy/sell advice or predict future price movement.
All markings are visual aids for chart study and structural analysis only.
Users should rely on their own judgment and independent analysis when making trading decisions.
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Vince/Williams Selling Climax SignalThis indicator identifies moments of ultimate market capitulation based on the "Selling Climax" research by Ralph Vince and Larry Williams. It monitors the ratio of New Lows to total traded issues to detect when selling pressure has reached an unsustainable, panic-driven extreme (defaulting to 20% of the entire market hitting new lows).
The script visualizes this process in two stages. First, it marks the actual days of panic with red diamonds, showing you where the "washout" is occurring. Second, and most importantly, it generates a green diamond buy signal on the very first day the panic subsides. This allows you to enter a position immediately after the supply of desperate sellers has been exhausted, often catching the absolute bottom of a sharp correction.
Trend Following Volatility Trail*Script was previously removed by Moderators at 1.8k boosts* - This was out of my control. This script was very popular and seemed to help a lot of traders. I am re uploading to help the community!
Trend Following Volatility Trail
The Trend Following Volatility Trail is a dynamic trend-following tool that adapts its stop, bias, and zones to real-time volatility and trend strength. Instead of using static ATR multiples like a normal Supertrend or Chandelier Stop, it continuously adjusts itself based on how stretched the market is and how persistent the trend has been. This indicator is based on volatility weighted EMAC
This makes the system far more reactive during momentum phases and more conservative during consolidation, helping avoid fake flips and late entries.
How It Works
The indicator builds an adaptive trail around a smoothed price basis:
– It starts with a short EMA as the “core trend line.”
– It measures volatility expansion versus normal volatility.
– It measures trend persistence by reading whether price has been rising or falling consistently.
– These two components combine to adjust the ATR multiplier dynamically.
As volatility expands or the trend becomes more persistent, the bands widen.
When volatility compresses or the trend weakens, the bands tighten.
These adaptive bands form the foundation of the trailing system.
Bull & Bear State Logic
The tool constantly tracks whether price is above or below the adaptive trail:
Price above the upper trail → Bullish regime
Price below the lower trail → Bearish regime
But instead of flipping immediately, it waits for confirmation bars to avoid noise.
This greatly reduces whipsaws and keeps the focus on sustained moves.
Once a new regime is confirmed:
– A coloured cloud appears (bull or bear)
– A label marks the flip point
– Alerts can be triggered automatically
Best Uses
Identifying regime shifts early
Riding sustained trends with confidence
Avoiding choppy markets by requiring confirmation
Using the adaptive cloud as a directional bias layer
Percentage Distance from 200-Week SMA200-Week SMA % Distance Oscillator (Clean & Simple)
This lightweight, no-nonsense indicator shows how far the current price is from the classic 200-week Simple Moving Average, expressed as a percentage.
Key features:
• True percentage distance: (Price − 200w SMA) / 200w SMA × 100
• Auto-scaling oscillator (no forced ±100% range → the line actually moves and looks alive)
• Clean zero line
• +10% overbought and −10% oversold levels with subtle background shading
• Real-time table showing the exact current percentage
• Small label on the last bar for instant reading
• Alert conditions when price moves >10% above or below the 200-week SMA
Why 200-week SMA?
Many legendary investors and hedge funds (Stan Druckenmiller, Paul Tudor Jones, etc.) use the 200-week SMA as their ultimate long-term trend anchor. Being +10% or more above it has historically signaled extreme optimism, while −10% or lower has marked deep pessimism and generational buying opportunities.
Perfect for Bitcoin, SPX, gold, individual stocks – works on any timeframe (looks especially good on daily and weekly charts).
Open-source • No repainting • Minimalist & fast
Enjoy and trade well!
Distribution Day Grading [Blk0ut]Distribution Day Grading
This script is designed to give traders and investors a fast, objective, and modern read on market health by analyzing distribution days, and stall days, two forms of institutional selling that often begin to appear before trend weakness, failed breakouts, and sharp corrections.
The goal of this script isn’t to predict tops or bottoms, but instead, it measures the character of the tape in a way that’s simple, visual, and immediately actionable.
While distribution analysis has existed for decades, my implementation is, I think, a little more adaptive. Traditional rules for identifying distribution days, coming from CANSLIM methodology, were built for markets which had lower volatility, different liquidity profiles, and slower institutional rotation. This script updates the traditional method with modernized thresholds, recency-weighted decay, stall-day logic, and dynamic presets tuned uniquely for the personality of each major U.S. index (you can change the values yourself as well).
The results are displayed as a compact letter-grade that quantitatively reflects a measure of how much institutional supply has been hitting the market, as well as how recently. This helps determine whether conditions are supportive of breakouts, mean reversion trades, aggressive trend trades, or whether caution and lighter sizing are warranted.
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How It Works
The script evaluates each bar for two conditions:
1. Distribution Day
A bar qualifies as distribution when:
- Price closes down beyond a threshold (default 0.30%, adjustable)
- Volume is higher than the prior session (optional toggle)
Distribution days typically represent active institutional selling .
2. Stall Day
A softer form of supply:
-Price remains flat to slightly negative within a small threshold
-Close < open
-Volume higher than prior day
Stall days represent a passive distribution or hidden supply .
Each distribution day is counted as 1 unit by the script, each stall day as 0.5 units.
Recency Weighting
The script applies an optional half-life decay so that fresh distribution matters more than old distribution. This mimics the “aging out” effect that professional traders use, but does it in a smoother, more mathematically consistent way.
The script then produces:
A weighted distribution score
A raw distribution + stall count
A letter grade from A → F
Let's talk about the letters...
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Letter Grade Meaning
A — Very Healthy Tape
Minimal institutional selling.
Breakouts behave better, momentum holds, pullbacks are shallow, upside targets are hit more consistently.
B — Healthy / Slight Caution
Some isolated supply but nothing structural.
Conditions remain favorable for trend trades, pullbacks, and breakout continuation.
C — Mixed / Caution Warranted
Distribution is building.
Breakouts begin to fail faster, candles widen, rotation becomes unstable, and risk/reward compresses.
D — Weak / Risk Elevated
Institutional selling is becoming persistent.
Failed breakouts, sharp reversals, and failed rallies become more common. Position sizing should tighten.
F — Clear Deterioration
Broad, repeated institutional distribution.
This is where major tops, deeper pullbacks, and corrections often begin to form underneath the surface.
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Index-Tuned Presets (Auto Mode)
Market structure varies dramatically across indices.
To address this, the script includes auto-detect presets for:
SPY / SPX equivalents
QQQ / NASDAQ-100 equivalents
IWM / Russell 2000 equivalents
DIA / Dow 30 equivalents
Each preset contains optimized values based on volatility, liquidity, noise, and institutional behavior:
SPY / SPX
Low noise, deep liquidity → classic thresholds work well.
Distribution thresholds remain conservative.
QQQ
Higher volatility → requires a slightly larger down-percentage filter to avoid false signals.
IWM
Noisiest of the major indices → requires much stricter thresholds to filter out junk signals.
DIA
Slowest-moving index → tighter conditions catch real distribution earlier.
The script automatically detects which symbol family you’re viewing and loads the appropriate preset unless manual overrides are enabled.
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How to Interpret This Indicator
Grade A–B:
Breakouts have higher odds of clean continuation
Mean reversion is smoother
Position sizing can be more assertive
Grade C:
Start tightening risk
Focus on A- setups, not B- or C- risk ideas
Grade D–F:
Expect lower win rates
Expect breakout failures
Favor countertrend plays or reduced exposure
Take faster profits
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This indicator should help traders prevent themselves from fighting the tape or sizing aggressively when the underlying environment is deteriorating through:
- Modernized distribution logic, not the 1990s thresholds
- Recency-weighted decay instead of the old 5-week “aging out”
- Stall-day detection for subtle institutional supply
- Auto-presets tuned per index, adjusting thresholds to match volatility and liquidity
- Unified letter-grade scoring for visual clarity
- Independent application for any trading style, it helps with trend, momentum, mean reversion, and options
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Keep in mind: This script is provided strictly for educational and informational purposes.
Nothing in this indicator constitutes financial advice, trading advice, investment guidance, or a recommendation to buy or sell any security, option, cryptocurrency, or financial instrument.
No indicator should ever be used as the sole basis for a trading or investment decision.
Markets carry risk. Past performance does not predict future results.
Always perform your own analysis, use proper risk management, and consult a licensed professional if you need advice specific to your financial situation.
Happy Trading!
Blk0uts
90D High % Pullback Lines (Hybrid 10 Lines)90D High % Pullback Lines (Hybrid 10 Lines) visualizes drawdown levels from the 90-day high, with up to 10 fully customizable percentage-based lines.
This tool makes it easy to identify pullbacks, dip-buy zones, trend continuation points, and discount regions in any market.
🔍 Features
✅ Up to 10 customizable pullback levels
Each line has its own % drop setting
Turn any line ON/OFF individually
Example presets: −10%, −20%, −30%, … −95%
✅ Two rendering modes
1. Hybrid Fixed Line Mode (Stable / Anti-Shift)
Prevents line drift caused by chart updates
Keeps horizontal levels synchronized on every bar
Best stability for intraday & real-time use
2. Lightweight plot (stepline) Mode
Ideal for backtesting
Fully compatible with alerts
Clean and fast rendering
✅ Supports daily-based 90-day high
Even on lower timeframes, the indicator can use the daily 90-day high
Ideal for MTF (multi-timeframe) analysis
🎯 Use Cases
Instantly see how far price has pulled back (%) from the 90-day high
Build systematic dip-buy / trend-follow setups
Identify discount zones during volatility
Monitor recovery signals after strong sell-offs
Works great for crypto, FX, indices, and stocks
🚨 Alerts Included
Alerts trigger when closing price crosses any selected pullback line
Useful for automated dip-buy alerts, breakout alerts, etc.
📌 Notes
Due to internal TradingView behavior, public indicators may behave slightly differently from real-time script editing mode.
The Hybrid Line Mode is designed to provide the most stable and drift-free line display.
Candle Volume CoreIA VolCore — Candle Volume Core
Indicator Overview
IA VolCore is an intra‑candle volume analysis tool that shows where the core traded volume is concentrated inside each candle.
It visualizes how buyers and sellers interacted within the bar and highlights key levels and zones where the highest activity takes place.
How Calculations Work
The indicator uses the lowest available timeframe data to calculate volume distribution inside each candle.
If you have a Premium or higher subscription, VolCore uses second‑based data for the most accurate results. Older candles (where second‑data is no longer available due to platform limits) are calculated using minute data. The indicator can therefore be used on any timeframe from 1 minute and higher.
If you do not have Premium, the indicator uses minute‑based data only, so it is recommended to use it from the daily timeframe and above.
Example of Calculation
If the chart timeframe is 1 hour and the lowest available timeframe is 1‑second data, the indicator loads 3600 1‑second candles. Each 1‑second candle has a known volume, which is evenly distributed across its own price range.
The 1‑hour candle is then divided into a number of price ranges based on the Candle Volume Resolution parameter. The volumes of all 3600 1-second candles are then aggregated into the corresponding price ranges of the hourly candle.
The final result is a detailed intra‑candle volume map for the entire hour — calculated using the most precise data available.
Custom Timeframe Parameter
If Use Custom Timeframe is enabled and a timeframe is selected, all calculations will be performed strictly using this specified timeframe.
For example: if the chart is on 1D, the user has 1‑second data available, but Custom TF is set to 1 minute, then the volume distribution inside each daily candle will be calculated using 1‑minute candles.
Key Features
Candle Volume Resolution — defines how many price ranges each candle is divided into (3–50,000). All calculations in the indicator are based on this resolution.
Max Volume Level — displays the price level inside the candle where the maximum volume occurred.
% of Volume (1, 2, 3) — defines percentages of the candle's total volume (e.g., 33%, 66%, 50%). For each percentage, VolCore finds the minimum price range containing that share of volume. You can view the corresponding volume values for these shares in histogram form via the Show: Vol % 1–3 parameters. The actual intra-candle zones are displayed using the Show area option.
Volume % for Density — sets the volume percentage used to calculate Vol Density, which reflects how concentrated the volume is inside the selected price range.
Display Parameters (Show)
Show: Vol % 1–3 — shows histograms of volume share zones based on the selected "% of Volume" parameters (with color logic applied).
Show: Max Volume Value — displays the maximum internal volume value for each candle as a histogram (with color logic applied).
Show: Volume — displays the candle's total volume (with color logic applied).
Show: Vol Density — shows the density of volume distribution inside the candle for the selected volume percentage (with color logic applied).
Example Use Cases (not a complete list)
IA VolCore shows where liquidity forms inside each candle, how volume is distributed, and how concentrated trading activity is.
Detecting False Breakouts
If a breakout candle shows increased volume, and after the breakout the core volume forms beyond the level, but the price moves back — VolCore provides a strong signal of a false breakout.
Examples:
Identifying Support & Resistance Zones
If Max Volume Level repeatedly forms in the same internal range over multiple candles, this indicates a hidden support or resistance level.
Example:
Who This Indicator Is For
For traders using volume‑based and contextual market analysis, and for IA (Initiative Analysis) ecosystem users who want a deeper understanding of intra‑candle structure.
Histogram Color Logic
IA VolCore uses three color shades to highlight volume behavior relative to previous candles:
light shade — normal volume, no significant change,
medium shade — volume exceeds both previous candles,
dark shade — volume exceeds the sum of the previous two candles.
This helps quickly spot growing activity and potential shifts in market pressure.
Style Settings
Line styles, histogram styles, and colors can be customized in the indicator’s Style tab.
Trinity Dynamic ATR Levels (Saty)This is an updated version of the SATY ATR levels ()
Trinity Dynamic ATR Levels
The core logic is 100 % identical: same higher-timeframe ATR calculation, same trigger at ~23.6 %, same Fibonacci and extension levels, same 8-21-34 EMA ribbon for the trend color in the table, and the table itself looks exactly like the original again (4 rows, clean layout, no extra target row). The visual and usability upgrades you now have that the original does not:
Lower Trigger line is now red instead of yellow, Upper Trigger line is now green instead of aqua/cyan to indicate to go long or short.
Every single level group has its own color input so you can customize everything (previous close, fib levels, 61.8 %, 100 % ATR, extensions, 200 %, 300 %, etc.) without touching the code. Every plotted level now has a clear text label on the right side of the chart (“Prev Close”, “Lower Trig”, “Upper Trig”, “-61.8 %”, “+100 %”, “-200 %”, etc.) so you instantly know what you’re looking at.
A new input called “Target Distance (×ATR)” lets you decide how far your profit target is (default 1.0 = +100 % ATR, but you can set 1.618, 2.0, 2.618, etc. instantly).
As soon as price closes above the Upper Trigger or below the Lower Trigger, a big, obvious target box automatically appears on the right side of the screen showing the exact dollar target price for the active long or short (green box for longs, red box for shorts). When there is no active trigger, the box disappears and the table stays perfectly clean.
In short, you now have the exact same beloved Saty ATR indicator everyone uses, but with red/green triggers, full color control, level labels, and a beautiful dynamic target box that only shows up when you actually have a trade on — all while keeping the original clean 4-row table untouched. It’s the cleanest and most professional version you’ll find anywhere. Enjoy! 🚀
Global M2 Money Supply Growth (GDP-Weighted)📊 Global M2 Money Supply Growth (GDP-Weighted)
This indicator tracks the weighted aggregate M2 money supply growth across the world's four largest economies: United States, China, Eurozone, and Japan. These economies represent approximately 69.3 trillion USD in combined GDP and account for the majority of global liquidity, making this a comprehensive macro indicator for analyzing worldwide monetary conditions.
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🔧 KEY FEATURES:
📈 GDP-Weighted Aggregation
Each economy is weighted proportionally by its nominal GDP using 2025 IMF World Economic Outlook data:
• United States: 44.2% (30.62 trillion USD)
• China: 28.0% (19.40 trillion USD)
• Eurozone: 21.6% (15.0 trillion USD)
• Japan: 6.2% (4.28 trillion USD)
The weights are fully adjustable through the indicator settings, allowing you to update them annually as new IMF forecasts are released (typically April and October).
⏱️ Multiple Time Period Options
Choose between three calculation methods to analyze different timeframes:
• YoY (Year-over-Year): 12-month growth rate for identifying long-term liquidity trends and cycles
• MoM (Month-over-Month): 1-month growth rate for detecting short-term monetary policy shifts
• QoQ (Quarter-over-Quarter): 3-month growth rate for medium-term trend analysis
🔄 Advanced Offset Function
Shift the entire indicator forward by 0-365 days to test lead/lag relationships between global liquidity and asset prices. Research suggests a 56-70 day lag between M2 changes and Bitcoin price movements, but you can experiment with different offsets for various assets (equities, gold, commodities, etc.).
🌍 Individual Country Breakdown
Real-time display of each economy's M2 growth rate with:
• Current percentage change (YoY/MoM/QoQ)
• GDP weight contribution
• Color-coded values (green = monetary expansion, red = contraction)
📊 Smart Overlay Capability
Displays directly on your main price chart with an independent left-side scale, allowing you to visually correlate global liquidity trends with any asset's price action without cluttering the chart.
🔧 Customizable GDP Weights
All GDP values can be adjusted through the indicator settings without editing code, making annual updates simple and accessible for all users.
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📡 DATA SOURCES:
All M2 money supply data is sourced from ECONOMICS (Trading Economics) for consistency and reliability:
• ECONOMICS:USM2 (United States)
• ECONOMICS:CNM2 (China)
• ECONOMICS:EUM2 (Eurozone)
• ECONOMICS:JPM2 (Japan)
All values are normalized to USD using current daily exchange rates (USDCNY, EURUSD, USDJPY) before GDP-weighted aggregation, ensuring accurate cross-country comparisons.
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💡 USE CASES & APPLICATIONS:
🔹 Liquidity Cycle Analysis
Track global monetary expansion/contraction cycles to identify when central banks are coordinating loose or tight monetary policies.
🔹 Market Timing & Risk Assessment
High M2 growth (>10%) historically correlates with risk-on environments and rising asset prices across crypto, equities, and commodities. Negative M2 growth signals monetary tightening and potential market corrections.
🔹 Bitcoin & Crypto Correlation
Compare with Bitcoin price using the offset feature to identify the optimal lag period. Many traders use 60-70 day offsets to predict crypto market movements based on liquidity changes.
🔹 Macro Portfolio Allocation
Use as a regime filter to adjust portfolio exposure: increase risk assets during liquidity expansion, reduce during contraction.
🔹 Central Bank Policy Divergence
Monitor individual country metrics to identify when major central banks are pursuing divergent policies (e.g., Fed tightening while China eases).
🔹 Inflation & Economic Forecasting
Rapid M2 growth often leads inflation by 12-18 months, making this a leading indicator for future inflation trends.
🔹 Recession Early Warning
Negative M2 growth is extremely rare and has preceded major recessions, making this a valuable risk management tool.
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📊 INTERPRETATION GUIDE:
🟢 +10% or Higher
Aggressive monetary expansion, typically during crises (2001, 2008, 2020). The COVID-19 period saw M2 growth reach 20-27%, which preceded significant inflation and asset price surges. Strong bullish signal for risk assets.
🟢 +6% to +10%
Above-average liquidity growth. Central banks are providing stimulus beyond normal levels. Generally favorable for equities, crypto, and commodities.
🟡 +3% to +6%
Normal/healthy growth rate, roughly in line with GDP growth plus 2% inflation targets. Neutral environment with moderate support for risk assets.
🟠 0% to +3%
Slowing liquidity, potential tightening phase beginning. Central banks may be raising rates or reducing balance sheets. Caution warranted for high-beta assets.
🔴 Negative Growth
Monetary contraction - extremely rare. Only occurred during aggressive Fed tightening in 2022-2023. Strong warning signal for risk assets, often precedes recessions or major market corrections.
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🎯 OPTIMAL USAGE:
📅 Recommended Timeframes:
• Daily or Weekly charts for macro analysis
• Monthly charts for very long-term trends
💹 Compatible Asset Classes:
• Cryptocurrencies (especially Bitcoin, Ethereum)
• Equity indices (S&P 500, NASDAQ, global markets)
• Commodities (Gold, Silver, Oil)
• Forex majors (DXY correlation analysis)
⚙️ Suggested Settings:
• Default: YoY calculation with 0 offset for current liquidity conditions
• Bitcoin traders: YoY with 60-70 day offset for predictive analysis
• Short-term traders: MoM with 0 offset for recent policy changes
• Quarterly rebalancers: QoQ with 0 offset for medium-term trends
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📋 VISUAL DISPLAY:
The indicator plots a blue line showing the selected growth metric (YoY/MoM/QoQ), with a dashed reference line at 0% to clearly identify expansion vs. contraction regimes.
A comprehensive table in the top-right corner displays:
• Current global M2 growth rate (large, prominent display)
• Individual country breakdowns with their GDP weights
• Color-coded growth rates (green for positive, red for negative)
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🔄 MAINTENANCE & UPDATES:
GDP weights should be updated annually (ideally in April or October) when the IMF releases new World Economic Outlook forecasts. Simply adjust the four GDP input parameters in the indicator settings - no code editing required.
The relative GDP proportions between the Big 4 economies change very gradually (typically <1-2% per year), so even if you update weights once every 1-2 years, the impact on the indicator's accuracy is minimal.
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💭 TRADING PHILOSOPHY:
This indicator embodies the principle that "liquidity drives markets." By tracking the combined M2 money supply of the world's largest economies, weighted by their economic size, you gain insight into the fundamental liquidity conditions that underpin all asset prices.
Unlike single-country M2 indicators, this GDP-weighted approach captures the true global picture, accounting for the fact that US monetary policy has 2x the impact of Japanese policy due to economic size differences.
Perfect for macro-focused traders, long-term investors, and anyone seeking to understand the "tide that lifts all boats" in financial markets.
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Created for traders and investors who incorporate global liquidity trends into their decision-making process. Best used alongside other technical and fundamental analysis tools for comprehensive market assessment.
⚠️ Disclaimer: M2 money supply is a lagging macroeconomic indicator. Past correlations do not guarantee future results. Always use proper risk management and combine with other analysis methods.
Fear & Greed Oscillator - Risk SentimentThe Fear & Greed Oscillator – Risk Sentiment is a macro-driven sentiment indicator inspired by the popular Fear & Greed Index , but rebuilt from the ground up using real, market-based economic data and statistical normalization.
While the traditional Fear & Greed Index uses components like volatility, volume, and social media trends to estimate sentiment, this version is powered by the Copper/Gold ratio — a historically respected gauge of macroeconomic confidence and risk appetite.
📈 Expansion vs. Contraction Theory
At the heart of this oscillator is a simple macroeconomic insight:
🟢 Copper performs well during periods of economic expansion and risk-on behavior (industrials, construction, manufacturing growth).
🔴 Gold performs well during periods of economic contraction , as a classic risk-off, capital-preserving asset.
By tracking the ratio of Copper to Gold prices over time and converting it into a Z-score , this tool shows when macro sentiment is statistically stretched toward greed or fear — based on how unusually strong one side of the ratio is relative to its historical average.
⚙️ How It Works
The script takes two user-defined tickers (default: Copper and Gold) and calculates their ratio.
It then applies Z-score normalization over a user-defined period (default: 200 bars).
A color gradient line is plotted:
🔴 Z < -2 = Extreme Fear
🟣 -2 to 0 = Mild Fear to Neutral
🔵 0 to 2 = Neutral to Greed
🟢 Z > 2 = Extreme Greed
Visual guides at ±1, ±2, ±3 standard deviations give immediate context.
Includes alert conditions when the Z-score crosses above +2 (Greed) or below -2 (Fear).
🔔 Alerts
“Z-Score has entered the Greed Zone ” when Z > 2
“Z-Score has entered the Fear Zone ” when Z < -2
These are designed to help catch macro sentiment extremes before or during large shifts in market behavior.
⚠️ Disclaimer
This indicator is a macro sentiment tool, not a direct trading signal. While the Copper/Gold ratio often reflects economic risk trends, correlation with risk assets (like Bitcoin or equities) is not guaranteed and may vary by cycle. Always use this indicator in conjunction with other tools and contextual analysis.
WTC Step Buy Step Edition CbyCarlo📊 WT Cross Modified – Step Buy Step Edition (v4)
WTC_StepBuyStep_Edition is an enhanced, practical, and optimized version of the classic WaveTrend (WT) Cross Indicator.
Developed for the Step Buy Step project, this tool helps traders identify market momentum shifts, structural price zones, and potential reversal areas with high clarity and precision.
🔍 Concept & Purpose
This indicator builds upon the established WaveTrend / LazyBear logic and extends it with additional structural intelligence.
The goal is to make overbought/oversold phases and trend reversals easier to spot — while also highlighting historically validated price zones where the market has previously reacted strongly.
⚙️ Key Features
1️⃣ WT Cross Signals
WT1 (yellow) and WT2 (purple) visualize market momentum.
A WT1 cross above WT2 while below the Oversold zone (−53) can indicate potential Long opportunities.
A WT1 cross below WT2 while above the Overbought zone (+53) can indicate potential Short opportunities.
Signals only confirm after candle close to prevent repainting.
2️⃣ Dynamic “WT SignalZone” Panel
Displayed in the top-right corner, this panel shows the last three valid price levels derived from WT signals:
🟢 LonLev – Buy support levels from previous WT Long signals
🔴 ShoLev – Sell resistance levels from previous WT Short signals
These zones act as objective support/resistance structures, based on historical momentum turning points — not subjective lines.
3️⃣ Flexible Calculation Modes
Choose how levels are derived from each WT signal:
Pullback 50% → Midpoint of the signal candle (high+low)/2
Close → Close price of the signal candle
Next Open → Open of the following bar (ideal for system testing)
📈 How to Interpret the Indicator
Market Condition WT Event Meaning
WT1 < −53 & CrossUp Long Signal Potential reversal / buy zone
WT1 > +53 & CrossDown Short Signal Potential exhaustion / sell zone
Price revisits LonLev Support Re-entry or bounce zone
Price revisits ShoLev Resistance Profit-taking or short setup zone
This makes the tool highly effective for:
Swing traders
Zone-based trading strategies
Systematic re-entries
Identifying structural turning points
🧠 Advantages
No repainting (signals confirmed only after bar close)
Works on all timeframes (from intraday to weekly)
Clean overview without clutter or excessive chart markers
Excellent as a filter to confirm market context
💬 Best Use Case
Use WTC_StepBuyStep_Edition as a contextual confirmation tool.
It does not replace a full trading system — but it gives you objective, repeatable, and statistically relevant zones where the market has reacted before.
Combine it with price action, volume analysis, or trend tools for even stronger setups.
© Step Buy Step • Step-Buy-Step.com
Educational trading tool intended for market analysis.
Not financial advice.
Candlestick toolkit (Candle Over Candle)Candlestick pattern toolkit focused on reading price action via candle anatomy, body dynamics, and a specific 2-bar continuation/reversal pattern.
This indicator highlights:
Long upper and lower wicks (“topping” and “bottoming” tails) that can signal exhaustion or potential reversal.
Large bullish bodies relative to Average True Range (ATR), showing strong momentum.
Sequences of large green candles.
Runs of green candles with strictly increasing or strictly decreasing body size, to visualize acceleration vs. momentum fade.
A two-candle pattern:
“Candle over Candle” (CoC) for long bias: two bullish bars where the first has a small upper wick and the second has a modest lower wick (a brief dip then push higher).
Optional mirrored “Candle under Candle” (CuC) for short bias.
The script labels:
Topping/Bottoming tails (TT/BT).
Large-green sequences and increasing/decreasing bodies (N×LG, ↑B, ↓B).
CoC/CuC pattern bars as “PRE” and the actual breakout bars as “GO”.
While a pattern is “live,” a reference line marks the trigger level (pattern high for longs, pattern low for shorts).
Inputs let you:
Tune wick and body percentage thresholds for tail detection.
Adjust ATR length and the multiplier that defines a “large” body.
Change how many candles are required for large-green sequences and body size trends.
Configure the two-candle pattern (maximum wick sizes, whether a small dip is required, confirmation within N bars).
Choose confirmation mode: close-through the trigger or intrabar wick break.
Enable or disable the short (CuC) side.
Control visual features (tail markers, sequence markers, pattern labels, and background shading on pattern bars).
Typical use:
Apply on intraday or swing timeframes.
Use tails and body behavior to read strength/weakness and potential exhaustion.
Treat CoC/CuC PRE labels as pattern formation, and GO labels as potential trade triggers above/below the pattern.
Combine with your own filters (trend, volume, higher-timeframe levels) rather than using it as a standalone signal generator.
SP500 Session Gap Fade StrategySummary in one paragraph
SPX Session Gap Fade is an intraday gap fade strategy for index futures, designed around regular cash sessions on five minute charts. It helps you participate only when there is a full overnight or pre session gap and a valid intraday session window, instead of trading every open. The original part is the gap distance engine which anchors both stop and optional target to the previous session reference close at a configurable flat time, so every trade’s risk scales with the actual gap size rather than a fixed tick stop.
Scope and intent
• Markets. Primarily index futures such as ES, NQ, YM, and liquid index CFDs that exhibit overnight gaps and regular cash hours.
• Timeframes. Intraday timeframes from one minute to fifteen minutes. Default usage is five minute bars.
• Default demo used in the publication. Symbol CME:ES1! on a five minute chart.
• Purpose. Provide a simple, transparent way to trade opening gaps with a session anchored risk model and forced flat exit so you are not holding into the last part of the session.
• Limits. This is a strategy. Orders are simulated on standard candles only.
Originality and usefulness
• Unique concept or fusion. The core novelty is the combination of a strict “full gap” entry condition with a session anchored reference close and a gap distance based TP and SL engine. The stop and optional target are symmetric multiples of the actual gap distance from the previous session’s flat close, rather than fixed ticks.
• Failure mode it addresses. Fixed sized stops do not scale when gaps are unusually small or unusually large, which can either under risk or over risk the account. The session flat logic also reduces the chance of holding residual positions into late session liquidity and news.
• Testability. All key pieces are explicit in the Inputs: session window, minutes before session end, whether to use gap exits, whether TP or SL are active, and whether to allow candle based closes and forced flat. You can toggle each component and see how it changes entries and exits.
• Portable yardstick. The main unit is the absolute price gap between the entry bar open and the previous session reference close. tp_mult and sl_mult are multiples of that gap, which makes the risk model portable across contracts and volatility regimes.
Method overview in plain language
The strategy first defines a trading session using exchange time, for example 08:30 to 15:30 for ES day hours. It also defines a “flat” time a fixed number of minutes before session end. At the flat bar, any open position is closed and the bar’s close price is stored as the reference close for the next session. Inside the session, the strategy looks for a full gap bar relative to the prior bar: a gap down where today’s high is below yesterday’s low, or a gap up where today’s low is above yesterday’s high. A full gap down generates a long entry; a full gap up generates a short entry. If the gap risk engine is enabled and a valid reference close exists, the strategy measures the distance between the entry bar open and that reference close. It then sets a stop and optional target as configurable multiples of that gap distance and manages them with strategy.exit. Additional exits can be triggered by a candle color flip or by the forced flat time.
Base measures
• Range basis. The main unit is the absolute difference between the current entry bar open and the stored reference close from the previous session flat bar. That value is used as a “gap unit” and scaled by tp_mult and sl_mult to build the target and stop.
Components
• Component one: Gap Direction. Detects full gap up or full gap down by comparing the current high and low to the previous bar’s high and low. Gap down signals a long fade, gap up signals a short fade. There is no smoothing; it is a strict structural condition.
• Component two: Session Window. Only allows entries when the current time is within the configured session window. It also defines a flat time before the session end where positions are forced flat and the reference close is updated.
• Component three: Gap Distance Risk Engine. Computes the absolute distance between the entry open and the stored reference close. The stop and optional target are placed as entry ± gap_distance × multiplier so that risk scales with gap size.
• Optional component: Candle Exit. If enabled, a bullish bar closes short positions and a bearish bar closes long positions, which can shorten holding time when price reverses quickly inside the session.
• Session windows. Session logic uses the exchange time of the chart symbol. When changing symbols or venues, verify that the session time string still matches the new instrument’s cash hours.
Fusion rule
All gates are hard conditions rather than weighted scores. A trade can only open if the session window is active and the full gap condition is true. The gap distance engine only activates if a valid reference close exists and use_gap_risk is on. TP and SL are controlled by separate booleans so you can use SL only, TP only, or both. Long and short are symmetric by construction: long trades fade full gap downs, short trades fade full gap ups with mirrored TP and SL logic.
Signal rule
• Long entry. Inside the active session, when the current bar shows a full gap down relative to the previous bar (current high below prior low), the strategy opens a long position. If the gap risk engine is active, it places a gap based stop below the entry and an optional target above it.
• Short entry. Inside the active session, when the current bar shows a full gap up relative to the previous bar (current low above prior high), the strategy opens a short position. If the gap risk engine is active, it places a gap based stop above the entry and an optional target below it.
• Forced flat. At the configured flat time before session end, any open position is closed and the close price of that bar becomes the new reference close for the following session.
• Candle based exit. If enabled, a bearish bar closes longs, and a bullish bar closes shorts, regardless of where TP or SL sit, as long as a position is open.
What you will see on the chart
• Markers on entry bars. Standard strategy entry markers labeled “long” and “short” on the gap bars where trades open.
• Exit markers. Standard exit markers on bars where either the gap stop or target are hit, or where a candle exit or forced flat close occurs. Exit IDs “long_gap” and “short_gap” label gap based exits.
• Reference levels. Horizontal lines for the current long TP, long SL, short TP, and short SL while a position is open and the gap engine is enabled. They update when a new trade opens and disappear when flat.
• Session background. This version does not add background shading for the session; session logic runs internally based on time.
• No on chart table. All decisions are visible through orders and exit levels. Use the Strategy Tester for performance metrics.
Inputs with guidance
Session Settings
• Trading session (sess). Session window in exchange time. Typical value uses the regular cash session for each contract, for example “0830-1530” for ES. Adjust if your broker or symbol uses different hours.
• Minutes before session end to force exit (flat_before_min). Minutes before the session end where positions are forced flat and the reference close is stored. Typical range is 15 to 120. Raising it closes trades earlier in the day; lowering it allows trades later in the session.
Gap Risk
• Enable gap based TP/SL (use_gap_risk). Master switch for the gap distance exit engine. Turning it off keeps entries and forced flat logic but removes automatic TP and SL placement.
• Use TP limit from gap (use_gap_tp). Enables gap based profit targets. Typical values are true for structured exits or false if you want to manage exits manually and only keep a stop.
• Use SL stop from gap (use_gap_sl). Enables gap based stop losses. This should normally remain true so that each trade has a defined initial risk in ticks.
• TP multiplier of gap distance (tp_mult). Multiplier applied to the gap distance for the target. Typical range is 0.5 to 2.0. Raising it places the target further away and reduces hit frequency.
• SL multiplier of gap distance (sl_mult). Multiplier applied to the gap distance for the stop. Typical range is 0.5 to 2.0. Raising it widens the stop and increases risk per trade; lowering it tightens the stop and may increase the number of small losses.
Exit Controls
• Exit with candle logic (use_candle_exit). If true, closes shorts on bullish candles and longs on bearish candles. Useful when you want to react to intraday reversal bars even if TP or SL have not been reached.
• Force flat before session end (use_forced_flat). If true, guarantees you are flat by the configured flat time and updates the reference close. Turn this off only if you understand the impact on overnight risk.
Filters
There is no separate trend or volatility filter in this version. All trades depend on the presence of a full gap bar inside the session. If you need extra filtering such as ATR, volume, or higher timeframe bias, they should be added explicitly and documented in your own fork.
Usage recipes
Intraday conservative gap fade
• Timeframe. Five minute chart on ES regular session.
• Gap risk. use_gap_risk = true, use_gap_tp = true, use_gap_sl = true.
• Multipliers. tp_mult around 0.7 to 1.0 and sl_mult around 1.0.
• Exits. use_candle_exit = false, use_forced_flat = true. Focus on the structured TP and SL around the gap.
Intraday aggressive gap fade
• Timeframe. Five minute chart.
• Gap risk. use_gap_risk = true, use_gap_tp = false, use_gap_sl = true.
• Multipliers. sl_mult around 0.7 to 1.0.
• Exits. use_candle_exit = true, use_forced_flat = true. Entries fade full gaps, stops are tight, and candle color flips flatten trades early.
Higher timeframe gap tests
• Timeframe. Fifteen minute or sixty minute charts on instruments with regular gaps.
• Gap risk. Keep use_gap_risk = true. Consider slightly higher sl_mult if gaps are structurally wider on the higher timeframe.
• Note. Expect fewer trades and be careful with sample size; multi year data is recommended.
Properties visible in this publication
• On average our risk for each position over the last 200 trades is 0.4% with a max intraday loss of 1.5% of the total equity in this case of 100k $ with 1 contract ES. For other assets, recalculations and customizations has to be applied.
• Initial capital. 100 000.
• Base currency. USD.
• Default order size method. Fixed with size 1 contract.
• Pyramiding. 0.
• Commission. Flat 2 USD per order in the Strategy Tester Properties. (2$ buying + 2$selling)
• Slippage. One tick in the Strategy Tester Properties.
• Process orders on close. ON.
Realism and responsible publication
• No performance claims are made. Past results do not guarantee future outcomes.
• Costs use a realistic flat commission and one tick of slippage per trade for ES class futures.
• Default sizing with one contract on a 100 000 reference account targets modest per trade risk. In practice, extreme slippage or gap through events can exceed this, so treat the one and a half percent risk target as a design goal, not a guarantee.
• All orders are simulated on standard candles. Shapes can move while a bar is forming and settle on bar close.
Honest limitations and failure modes
• Economic releases, thin liquidity, and limit conditions can break the assumptions behind the simple gap model and lead to slippage or skipped fills.
• Symbols with very frequent or very large gaps may require adjusted multipliers or alternative risk handling, especially in high volatility regimes.
• Very quiet periods without clean gaps will produce few or no trades. This is expected behavior, not a bug.
• Session windows follow the exchange time of the chart. Always confirm that the configured session matches the symbol.
• When both the stop and target lie inside the same bar’s range, the TradingView engine decides which is hit first based on its internal intrabar assumptions. Without bar magnifier, tie handling is approximate.
Legal
Education and research only. This strategy is not investment advice. You remain responsible for all trading decisions. Always test on historical data and in simulation with realistic costs before considering any live use.
Structure Pilot - Z&Z [Wang Indicators]Structure Pilot Zone & Zil is a complete suite of structure driven features that's build around pattern that can be visible around any timeframe.
Built in collaboration with Dave Teaches,
All these tools were shaped and combined together as the only toolkit Structure & DTFX traders want to have !
▫️ Structures & Zones ▫️
Zones are drawn when a break of structure (new high or low being created) or a market reversal happens.
It will highlight the last valid down move before a new high for bullish zones and the last valid up move before a new low for bearish zones.
These zones are used to analyze the market trend and to make entries into the market trend once the price retraces into these zones.
For example, with the latest bullish zones drawn in green for LTF zones and in blue for HTF zones, when the price retraces into this zone, there is a strong probability that the price will turn around to provide a buying opportunity all the way to the top of the zone or even higher.
These buying opportunities generally occur at specific retracement levels in the 30%, 50% and 70% zones, automatically represented by broken lines in the zones when they are created.
Example with bullish zones :
The aim with these zones is to find places on the chart where it's best to buy or sell, in order to take the biggest possible move while minimizing your risk.
Indeed, if the price is rising and a bullish zone has been created, I don't want to buy on the highs, preferring to wait for a retracement in my bullish zone to buy lower and reduce my risk, as the invalidation of the current trend will be found below the last protected low under the bullish zone drawn in blue for the HTF and in green for the LTF. Conversely, if the price is falling and a bearish zone has been created, I don't want to sell at the bottom. I'd rather wait for a retracement in the bearish zone to sell higher and reduce my risk, as the invalidation of the current trend will this time be above the last protected high above the bearish zone drawn in orange for the HTF and red for the LTF.
Example with bearish zones :
When it comes to market structure, it's good to know that zones recur within the same trend at a frequency of between 3 and 6 before there's a trend reversal.
So, after a certain number of successive zones, you can expect a reversal or the last protected high or low to be breached. The indicator automatically counts the number of successive zones, so you can keep track of the market and avoid surprises.
The zones are generated through the structure length. It can be increased to display larger (and more important) zones.
As we recommend keeping the default value (20) for new traders, experienced traders will find some success with other settings depending on their strategies.
Structure Pilot also provides auto HTF Zones, which is particularly useful to have a macro vision of the market.
Settings:
Swing types: Bullish only, Bearish only, both, or none
Structure length
Swing count: useful when it comes to tracking Trend strenght in any given time frame
Show Zones: Display boxes with 30%, 50%, and 70% fibs
Show HTF Zones: Display HTF zones with the same retracement configuration as the regular zones
Show 30%, 50% and 70%: Enable/disable these options to show or hide the corresponding fibs.
Box visibility, Line width & Line style: Style configuration for the zone
All settings can be activated or deactivated in the indicator parameters to suit individual needs and preferences.
30% Level : This is often considered a shallow retracement. If prices pull back to this level after an uptrend and flip in a lower timeframe, traders might view it as a strong sign of continued bullish momentum. Conversely, after a downtrend, this level could act as a temporary resistance where sellers might re-enter after a flip in a lower timeframe.
50% Level : This level is seen as a balance point or midpoint in the price move. A retracement to 50% can indicate a strong trend change or continuation.
70% Level : A retracement this deep can signal that the market might be losing steam or that the previous trend could be weakening. If the price bounces off this level, it might suggest that the trend is still in control but needed a more significant correction before moving further in its original direction.
We as structure traders prefer to take entry out of The 50% or when price retrace past it
there will be something at the level i'm looking for price to reverse from either some specific candles or imbalances.
Advanced traders might combine these levels with other tools or chart patterns that we bundle in this indicator.
▫️ ZIL ▫️
The ZIL Indicator is designed to automate the process of identifying key structural levels in the market and applying Fibonacci retracements when a significant price break occurs.
The indicator detects when a market structure (high or low) is broken and a candle closes below the previous low or above the previous high, indicating a potential trend shift or continuation.
• Tracks the break of structural lows or highs and waits for a confirmation candle that closes above or bellow the candle that set the new low.
Automated Fibonacci Retracement:
• Once the structure break is confirmed, the indicator automatically plots a Fibonacci retracement between:
• The high of the last bullish move (before the new low is set) or the low of the last bearish move (before the new high is set)
• The newly formed low after the structure break or the newly formed high after the structure break
Fibonacci levels plotted with colors :
• -0.27 : Dark red - Stop loss
• 0 : white - The new high/low - Potential entry
• 0.3, Orange 0.5, Light green 0.7: Green : Levels - Partial and take profit zones
• 1.15 pale blue - for your runner
We may long the retracement when the price is comming from a bearish zone using the ZIL to manage
Example :
Multi-Timeframe Support:
• Using the option "HTF ZIL" will display ZIL on higher timeframe (corresponding to the HTF Zones) on your charts to help traders find structural breaks and Fibonacci setups in both short-term and long-term markets.
HTF ZIL is really usefull to manage trades if the regular ZIL target get ran through
Wang use case :
HTF zill level are used when the small zill get ran through
▫️ Opening Range Tracker ▫️
The Opening Range Tracker is designed to help traders identify and track the opening range of a specified time period, specifically starting with the 144-minute candle between 8:24 AM and 10:48 AM. (default value) The indicator highlights this range and automatically plots key levels (30%, 50%, 70%) to provide potential strong reaction areas for trading. The time period for the opening range is fully customizable, allowing users to adjust it according to their strategy.
Opening range should be seen and used as a classic zone. If we trade above or below it price tend to come back into it and bounce of of the One or multiple level...
classic 30/50/70.
• Customizable Opening Range: Adapt the indicator to any market or session by changing the opening range time window.
• Precise Levels for Trading: The 30%, 50%, and 70% levels provide key zones where price may react, helping traders define entries, exits, or stop loss placements.
• Visual Clarity: The range box and levels make it easy to see the important price areas during the opening range and the rest of the trading session. If we range a lot in the opening range, we may range for the rest of the day. We should keep that in mind to avoid taking wrong decisions.
its basically a large zone that's we have seen often time price rejects from the level in it
Daily Reset: Each trading day resets the opening range, giving traders fresh data and new opportunities to capitalize on market movements.
Structure Pilot is built for beginner and experienced. It provides the tools to the traders that want to learn, understand, and trade efficiently within the principles of structure trading.
▫️ Alerts▫️
Alerts can be configured to these events :
New Swing / HTF Swing
Trend Change
Zil attached to a zone/HTF zone
Price cross 30/50/70 zones levels
Trend change and align the HTF/LTF trend
On cross partial (50%) and take profit (70%) ZIL and HTF ZIL
On cross Zil can now be configured for Bull or Bear zone
On HTF ZIL when 30% is crossed
Fractional Candlestick Long Only Experimental V10Fractional Candlestick Long-Only Strategy – Technical Description
This document provides a professional English description of the "Fractional Candlestick Long Only Experimental V6" strategy using pure CF/AB fractional kernels and wavelet-based filtering.
1. Fractional Candlesticks (CF / AB)
The strategy computes two fractional representations of price using Caputo–Fabrizio (CF) and Atangana–Baleanu (AB) kernels. These provide long-memory filtering without EMA approximations. Both CF and AB versions are applied to O/H/L/C, producing fractional candlesticks and fractional Heikin-Ashi variants.
2. Trend Stack Logic
Trend confirmation is based on a 4-component stack:
- CF close > AB close
- HA_CF close > HA_AB close
- HA_CF bullish
- HA_AB bullish
The user selects how many components must align (4, 3, or any 2).
3. Wavelet Filtering
A wavelet transform (Haar, Daubechies-4, Mexican Hat) is applied to a chosen source (e.g., HA_CF close). The wavelet response is used as:
- entry filter (4 modes)
- exit filter (4 modes)
Wavelet modes: off, confirm, wavelet-only, block adverse signals.
4. Trailing System
Trailing stop uses fractional AB low × buffer, providing long-memory dynamic trailing behavior. A fractional trend channel (CF/AB lows vs HA highs) is also plotted.
5. Exit Framework
Exit options include: stack flip, CF
ORB + INMERELO ADR + ATRThis indicator provides **two completely different but complementary lines of information** for intraday traders:
# **1. The ORB Line (ADR-Based Context Line)**
The ORB portion of the script focuses on **range expansion** relative to typical daily behavior.
### **What it measures**
* **20-day ADR (Average Daily Range)**
* **Today’s range as a % of ADR**
* **How much of the average range has been “used”** by the time you’re considering an Opening Range Breakout
### **Why it matters for ORB trading**
Successful ORBs thrive when:
* **ADR used% is low** (green) → plenty of fuel left for expansion
* **ADR used% is moderate** (orange) → breakout still possible but less explosive
* **ADR used% is high** (red) → breakout attempts often fail or reverse
### **What the indicator gives you**
A clean, color-coded readout of:
* ADR
* Today’s range
* Used%
* A simple green/orange/red evaluation of ORB quality
This allows a trader to quickly judge whether **conditions favor ORB continuation or mean-reversion reversal**—without manually calculating ranges or switching charts.
---
# **2. The INMERELO Line (ATR Stretch + MA Interaction)**
The INMERELO portion of the script is built around **mean-reversion mechanics**:
the market tends to revert back toward the **first daily MA it crosses under**.
### **How it determines the active MA**
At the start of each session, the script waits for price to cross under:
* **EMA10**
* **EMA21**
* **SMA50**
Whichever MA is crossed first becomes the **active MA** for the day.
If no cross has occurred yet, the indicator shows the **nearest MA**, so traders know exactly what the likely “INMERELO magnet” will be.
### **What it measures**
* **Stretch from the active MA (in ATR units)**
* **20-day ATR regime direction (expanding or contracting)**
* **Daily MA context: E10, E21, or S50**
### **Why it matters for INMERELOs**
This provides:
* The **target MA**
* The **distance to that MA in ATRs**
* A color-coded stretch score:
* **0.6–1.2 ATR** → prime INMERELO zone (Green)
* Moderately stretched → Orange
* Overstretched or dead zone → Red
An up/down arrow shows whether **volatility is expanding or compressing**, which affects expected retrace behavior.
### **What the indicator gives you**
All INMERELO data is displayed in a second compact line:
* Stretch to MA
* Active MA label (E10/E21/S50)
* ATR regime arrow
This allows fast identification of high-probability **mean-reversion trades back to the MA**.
---
# **Summary**
This indicator shows:
### **Line 1 → ORB Context (ADR)**
* Is the stock setup for a powerful breakout?
* How much ADR is left?
* Are you early (good) or late (risky)?
### **Line 2 → INMERELO Context (ATR + MA Stretch)**
* Which MA is in control today (EMA10, EMA21, or SMA50)?
* How many ATRs away from that MA are we?
* Is volatility expanding or contracting?
* Is this a clean INMERELO setup or not?
Together, these two lines give traders the **two most important intraday lenses**:
**range expansion (ORB)** and **mean reversion (INMERELO)**—updated every bar, without clutter.
