RSV % Change - SelectRSV (Relative Strength Valuation) Model
Built exactly on Bernd Skorupinski’s original framework, the RSV Model first computes each asset’s percentage change over a user-defined period, then measures the spread between that change and the equivalent move in a chosen benchmark (DXY by default, or bonds, gold, or BTC). It normalizes this spread over a rolling lookback window to produce a 0–100 RSV reading, then recentres it into a –100 to +100 standardized score—so you see only the true valuation-adjusted momentum. Readings above +75 flag overvalued extremes; readings below –75 expose undervalued opportunities. With adjustable length and lookback settings, it delivers the identical edge Bernd Skorupinski’s trusts, stripped of lag and noise.
Forecasting
Modern Economic Eras DashboardOverview
This script provides a historical macroeconomic visualization of U.S. markets, highlighting long-term structural "eras" such as the Bretton Woods period, the inflationary 1970s, and the post-2020 "Age of Disorder." It overlays key economic indicators sourced from FRED (Federal Reserve Economic Data) and displays notable market crashes, all in a clean and rescaled format for easy comparison.
Data Sources & Indicators
All data is loaded monthly from official FRED series and rescaled to improve readability:
🔵 Real GDP (FRED:GDP): Total output of the U.S. economy.
🔴 Inflation Index (FRED:CPIAUCSL): Consumer price index as a proxy for inflation.
⚪ Debt to GDP (FRED:GFDGDPA188S): Federal debt as % of GDP.
🟣 Labor Force Participation (FRED:CIVPART): % of population in the labor force.
🟠 Oil Prices (FRED:DCOILWTICO): Monthly WTI crude oil prices.
🟡 10Y Real Yield (FRED:DFII10): Inflation-adjusted yield on 10-year Treasuries.
🔵 Symbol Price: Optionally overlays the charted asset’s price, rescaled.
Historical Crashes
The dashboard highlights 10 major U.S. market crashes, including 1929, 2000, and 2008, with labeled time spans for quick context.
Era Classification
Six macroeconomic eras based on Deutsche Bank’s Long-Term Asset Return Study (2020) are shaded with background color. Each era reflects dominant economic regimes—globalization, wars, monetary systems, inflationary cycles, and current geopolitical disorder.
Best Use Cases
✅ Long-term macro investors studying structural market behavior
✅ Educators and analysts explaining economic transitions
✅ Portfolio managers aligning strategy with macroeconomic phases
✅ Traders using history for cycle timing and risk assessment
Technical Notes
Designed for monthly timeframe, though it works on weekly.
Uses close price and standard request.security calls for consistency.
Max labels/lines configured for broader history (from 1860s to present).
All plotted series are rescaled manually for better visibility.
Originality
This indicator is original and not derived from built-in or boilerplate code. It combines multiple economic dimensions and market history into one interactive chart, helping users frame today's markets in a broader structural context.
MissedPrice Volume Method[KiomarsRakei]█ Core Concept:
This script detects price zones that are highly likely to be revisited — areas where price moved too quickly to fully fill market activity. Using sharp volume shifts and volatility filters, the script identifies these “missed” levels and generates signals pointing toward them.
Signals are generated before price reaches the zone, allowing you to analyze price behavior both before and after the zone is touched. These zones often act like magnets for price, making them ideal for short-term.
Examples of signals and high hit rate of Missed zones
█ How It Works:
The script monitors 3-candle volume and price behavior to detect moments where volume accelerates abnormally compared to recent averages. When a potential missed zone is found and price hasn’t revisited it yet, a signal is created in advance, pointing to that zone as a likely future target.
█ Features:
Zone Visualization: Dynamic boxes show price targets based on missed volume areas.
Pre-Zone Signals: Alerts fire before price returns, offering early trade setups.
Stat Tracking System: Automatically logs signals, win rate, and average profit.
Live Performance Table: On-chart stats including hit/miss breakdown and late-return analysis.
Works on All Markets: Compatible with any chart that provides volume — crypto, forex, indices, or stocks.
A signal is considered successful when price touches the zone. However, not all zones are guaranteed to be revisited.
█ Key Inputs & Stats Table:
Volume Filters: Control signal sensitivity using min/max relative volume shift.
Zone & Line Settings: Adjust how long the zone stays visible and whether entry lines are drawn.
Custom Colors: Choose colors for buy/sell zones, lines, and visuals.
📊 Table Metrics:
Total Signals: Count of all generated signals.
Win Rate: % of signals where price returned to the zone (hit = touched the zone, regardless of timing).
Bad Signals: Signals that took too long to hit or were never hit.
Bad but Hit: Signals marked bad but eventually touched the zone.
Bad signals are marked in red. These indicate zones that price failed to reach within the expected time window, showing where the script identified a target that remained unfulfilled.
Overnight Bias: Net Long/Short with PercentOvernight bias can assist with NY session gap fades or gap and go trading once the NY session is open.
Some general gap rules are:
1. Gap Direction Aligned with Overnight Bias
Rule: If the NY session gaps up and the overnight bias is Net Long (e.g., >60% of bars above the overnight open), favor longs.
Confirmation: Look for price to hold above overnight open or VWAP.
Invalidation: If price re-enters the overnight range, reassess.
2. Gap Opposing Overnight Bias (Contrarian Setup)
Rule: If the NY opens opposite the overnight bias, expect potential gap fill or reversal.
Trade Bias: Look for retracement back toward the overnight open or VWAP.
Example: Overnight was Net Long, but NY gaps down → wait for reclaim of VWAP to go long, else fade strength.
3. Gap Into Prior Day Value Area (VAH to VAL)
Rule: If the NY session gaps into the prior day value area:
It implies mean reversion behavior.
Expect price to rotate toward the POC (point of control).
Trade Bias: Fade toward POC if overnight bias is balanced or opposite the gap direction.
4. Gap Outside Prior Day Value Area
Rule: A gap above VAH or below VAL suggests potential breakout or new trend day.
Trade Bias: If overnight bias aligns (e.g., gap above VAH + Net Long overnight), consider trend continuation.
Invalidation: If price breaks back inside the prior day value area, watch for failed breakout → fade trade possible.
5. Gap Above Prior Day High / Below Prior Day Low
Rule: This is a true breakout gap.
Above Prior High + Net Long Bias: Look for continuation.
Below Prior Low + Net Short Bias: Look for sell pressure continuation.
Trade Bias: Use pullbacks to the prior high/low or overnight open for continuation setups.
6. Gap Within Prior Day Range
Rule: If the NY open is within the prior day’s high and low, expect chop or balanced conditions.
Trade Bias: Use overnight VWAP and prior POC as decision zones. Be cautious unless a breakout occurs.
7. Failed Gap and Re-entry into Prior Day Range
Rule: If price gaps above prior high but re-enters the prior range, it's a failed breakout.
Trade Bias: Look for a fade back to VAH or POC.
Confirmation: Watch for breakdown below overnight VWAP or failure to hold overnight open.
8. Gap + Overnight VWAP Divergence
Rule: If price gaps opposite the direction of VWAP (e.g., VWAP rising, gap down), wait for confirmation.
Trade Bias: Be cautious with early trades. Bias may flip if VWAP is reclaimed.
9. Gap + Overnight Open Test
Rule: If price opens with a gap and then retests the overnight open, that level becomes a decision zone.
Trade Bias:
Hold above = trend continuation.
Rejection = gap fill or reversal.
10. Unfilled Gap = Trend Bias
Rule: If the gap remains unfilled for the first 30–60 minutes, it increases the odds of a trend day.
Trade Bias: Trade pullbacks in the direction of the gap and overnight bias.
Should anyone have suggestion to add please do so.
Credit Spread Monitor: HY & IG vs US10Y📉 Credit Spread Monitor: HY & IG vs US10Y
This indicator provides a dynamic and visual way to monitor credit spreads relative to the US Treasury benchmark. By comparing High Yield (HY) and Investment Grade (IG) corporate bond yields to the 10-Year US Treasury Yield (US10Y), it helps assess market stress, investor risk appetite, and potential macro turning points.
🔍 What It Does
-Calculates credit spreads:
HY Spread = BAMLH0A0HYM2EY − US10Y
IG Spread = BAMLC0A0CMEY − US10Y
-Detects macro risk regimes using statistical thresholds and yield curve signals:
🔴 HY Spread > +2σ → Potential financial stress
🟠 Inverted Yield Curve + HY Spread > 2% → Recession risk
🟢 HY Spread < 1.5% → Risk-on environment
-Visually highlights conditions with intuitive background colors for fast decision-making.
📊 Data Sources Explained
🔴 High Yield (HY): BAMLH0A0HYM2EY → ICE BofA US High Yield Index Effective Yield
🔵 Investment Grade (IG): BAMLC0A0CMEY → ICE BofA US Corporate Index Effective Yield
⚪ Treasury 10Y: US10Y → 10-Year US Treasury Yield
⚪ Treasury 2Y: US02Y → 2-Year US Treasury Yield (used to detect curve inversion)
✅ This Indicator Is Ideal For:
Macro traders looking to anticipate economic inflection points
Portfolio managers monitoring systemic risk or credit cycles
Fixed-income analysts tracking the cost of corporate borrowing
ETF/Asset allocators identifying shifts between risk-on and risk-off environments
🧠 Why It's Useful
This script helps visualize how tight or loose credit conditions are relative to government benchmarks. Since HY spreads typically widen before major downturns, this tool can provide early warning signals. Similarly, compressed spreads may indicate overheating or complacency in risk markets.
🛠️ Practical Use Case:
You’re managing a multi-asset portfolio. The HY spread jumps above +2σ while the yield curve remains inverted. You decide to reduce exposure to equities and high-yield bonds and rotate into cash or Treasuries as recession risk rises.
📎 Additional Notes
Sourced from FRED (Federal Reserve Economic Data) and TradingView’s bond feeds.
Designed to work best on daily resolution, using open prices to ensure consistency across series with different update timings.
This script is original, not based on built-in or public templates, and intended to offer educational, statistical, and visual insights for serious market participants.
Rumers AI Super IndicatorThis is a GIGA multi all in one indicator dedicated to youtube channel : The Rumers" I love those people
NY Open Market Condition Analyzer – TTR & RINY Open Market Condition Analyzer – TTR & RI (Dynamic Edition)
Built for MNQ/NQ scalpers using 1-minute charts , this upgraded analyzer continuously reevaluates structural quality during the NY Open, and now includes optional divergence detection between MNQ and MES.
📊 Core Strategy Filters
TTR = Total Trading Range (2:00–6:30AM PST premarket movement)
RI = Reactive Impulse (body of current 5-min candle)
VWAP Clearance = Confirms directional momentum
VWAP Slope Alignment = Confirms trend context (optional)
MNQ/MES Divergence Filter = Detects structural disagreement (optional)
🎯 Primary Objective
This tool helps you:
Avoid low-conviction sessions and false breakouts
React to structure as it evolves between 6:30–8:30AM PST
Confirm ideal trading windows based on clear, aligned structure
✅ Features
🔁 Dynamic Evaluation Logic
Starts at 6:34AM PST (after first 5-min bar)
Reevaluates every 5 minutes until 8:30AM PST
Signal (GOOD or SKIP) updates dynamically based on latest structure
Once structure improves, you'll know — in real-time
📊 Condition Checks
Premarket Range ≥ threshold (default: 15 pts)
5-min Candle Body ≥ threshold (default: 10 pts)
Distance from VWAP ≥ threshold (default: 5 pts)
VWAP Slope alignment (optional)
MNQ/MES Directional Divergence (optional)
📋 Visual Output
📦 Icon above bar for every 5-min window
🏷 Label displays “GOOD SETUP” or “SKIP”
📊 Dashboard panel shows:
- Premarket Range
- 5-min Candle Size
- VWAP Distance
- VWAP Slope Status
- Divergence Check Result
- Final Verdict
🛠️ Configurable Settings
Minimum Range / Candle / VWAP thresholds
Toggle VWAP Slope Filter
Toggle MNQ/MES Divergence Filter
Custom Colors for:
- GOOD/Skip Session
- Divergence Alert
- Dashboard Panel
🔔 How to Add the Alert
Load on a 1-minute MNQ chart
Click the Alerts tab (🔔 icon)
Click + Create Alert
Condition: NY Open Market Condition Analyzer – TTR & RI → Good Setup Alert
Set to: “Only Once Per Bar Close”
🧪 Best For
Scalpers trading 10–30 pt MNQ/NQ setups
Traders filtering out low-structure sessions (especially Mondays & Fridays)
Discretionary traders who want real-time structure confirmation
🧠 Pro Tip
Pair with:
Opening Range Breakout strategies
Session VWAP
Pre-market S/R zones
MAS Capital RI confirmation for trade entry
This tool adapts with the market — because setups aren’t static, and neither is your edge.
FA Dashboard: Valuation, Profitability & SolvencyFundamental Analysis Dashboard: A Multi-Dimensional View of Company Quality
This script presents a structured and customizable dashboard for evaluating a company’s fundamentals across three key dimensions: Valuation, Profitability, and Solvency & Liquidity.
Unlike basic fundamental overlays, this dashboard consolidates multiple financial indicators into visual tables that update dynamically and are grouped by category. Each ratio is compared against configurable thresholds, helping traders quickly assess whether a company meets certain value investing criteria. The tables use color-coded checkmarks and fail marks (✔️ / ❌) to visually signal pass/fail evaluations.
▶️ Key Features
Valuation Ratios:
Earnings Yield: EBIT / EV
EV / EBIT and EV / FCF: Enterprise value metrics for profitability
Price-to-Book, Free Cash Flow Yield, PEG Ratio
Profitability Ratios:
Return on Invested Capital (ROIC), ROE, Operating, Net & Gross Margins, Revenue Growth
Solvency & Liquidity Ratios:
Debt to Equity, Debt to EBITDA, Current Ratio, Quick Ratio, Altman Z-Score
Each of these metrics is calculated using request.financial() and can be viewed using either annual (FY) or quarterly (FQ) data, depending on user preference.
🧠 How to Use
Add the script to any stock chart.
Select your preferred data period (FY or FQ).
Adjust thresholds if desired to match your personal investing strategy.
Review the visual dashboard to see which metrics the company passes or fails.
💡 Why It’s Useful
This tool is ideal for traders or long-term investors looking to filter stocks using fundamental criteria. It draws inspiration from principles used by Benjamin Graham, Warren Buffett, and Joel Greenblatt, offering a fast and informative way to screen quality businesses.
This is not a repackaged built-in or autogenerated script. It’s a custom-built, interactive tool tailored for fundamental analysis using official financial data provided via Pine Script’s request.financial().
Order Block Detector MacedoEnglish
This indicator automatically detects Order Blocks — zones where institutional players have previously acted. These areas behave as liquidity magnets, and price often revisits them before continuing its directional move.
After an OB is formed, the price tends to retrace between 90% and 50% of the previous leg before continuation. The most accurate entries occur when price returns to the origin, not when it breaks through.
When applied to assets with real volume data, analyze volume behavior as price approaches the OB:
For a bullish OB: if price approaches from above with strong selling volume, it’s often a bullish sign.
For a bearish OB: if price approaches from below with strong buying volume, it's usually a bearish signal.
A weak approach (low volume) in either case also suggests likely reversal.
Note: The cleaner and more untested the OB, the more likely price is to return and “clear” that liquidity zone.
SMA + Heiken Ashi Signals with BB Width Filter (Toggle + Label)🎯 Purpose
This script gives Buy, Sell, Exit Buy, and Exit Sell signals based on:
SMA crossovers
Heiken Ashi candle trend reversal
Bollinger Band Width filter to avoid trades in sideways markets
It’s designed for clean signal-only trading, with no actual order execution — ideal for discretionary or alert-based traders.
🧠 Logic Explained
✅ 1. Entry Signals (Buy/Sell)
Based on a fast SMA crossing a slow SMA
→ Uses 1-minute data (via request.security) for faster signal generation even on higher timeframes.
Only triggers if:
✅ Price is trending in the direction of the trade (above or below a 50-period SMA)
✅ Bollinger Band width is wide enough, indicating a strong trend
✅ You're not already in that direction (prevents duplicate signals)
❌ 2. Exit Signals (Exit Buy / Exit Sell)
Based on 3-minute Heiken Ashi candles
Exit Buy when: Heiken Ashi candle turns red (bearish)
Exit Sell when: Heiken Ashi candle turns green (bullish)
This smooths out the exit and prevents premature exits from short-term noise.
📊 3. Bollinger Band Width Filter
Measures distance between BB upper & lower bands
Normalized by dividing by the midline (basis) → bbWidth
If bbWidth < minWidth, signals are blocked to avoid consolidating markets
You can toggle this filter on/off and adjust the minWidth input.
🔁 4. Trade State Tracking
Uses two var bool flags:
inLong: True if in a long position
inShort: True if in a short position
Prevents the script from repeating signals until an exit occurs
EMA 8/120 Crossover + RSI Filter with BandsDescription:
This indicator is designed to detect trend direction and generate Buy/Sell signals based on the crossover of two exponential moving averages (EMA 8 and EMA 120), with confirmation from the RSI 14 momentum filter. It visually enhances entries using dynamic color bands and signal labels.
🔍 Key Features:
📈 EMA 8 (Fast) and EMA 120 (Slow) are plotted on the chart to track market trends.
✅ Buy Signal: Triggered when EMA 8 crosses above EMA 120 and RSI is above 50.
❌ Sell Signal: Triggered when EMA 8 crosses below EMA 120 and RSI is below 50.
🎨 Dynamic Signal Band:
A green band fills the area between EMA 8 and EMA 120 when in a Buy state.
A red band fills the area between EMA 8 and EMA 120 when in a Sell state.
The band updates live and flips color based on the current trend direction.
🔔 Buy/Sell Labels appear directly on the chart for easy identification of trade entries.
🧠 Use Case:
This indicator is ideal for trend-following strategies, especially for intraday or swing trading. The RSI filter helps reduce false signals by ensuring momentum aligns with the crossover direction.
NY Open Market Condition Analyzer – TTR & RINY Open Market Condition Analyzer – TTR & RI
Built for MNQ/NQ futures scalpers, this indicator filters out weak sessions and highlights when conditions at the **New York Open (6:30–8:30AM PST)** align with high-probability setups.
📊 Core Strategy Filters
TTR = Total Trading Range (2:00–6:30AM PST premarket movement)
RI = Reactive Impulse (first 5-minute candle size)
VWAP Clearance = directional clarity
🎯 Primary Objective
This tool helps you:
Skip indecisive sessions (often Mondays/Fridays)
Trade only when structural volatility and momentum support your scalping edge
Save mental capital by confirming setup quality *before* taking trades
✅ Features
🧠 Smart Session Filter
Automatically scans for 3 key signals:
- Premarket Range ≥ customizable threshold (default: 15 points)
- Opening Candle Impulse ≥ customizable threshold (default: 10 points)
- Price Distance from VWAP ≥ customizable threshold (default: 5 points)
🎨 Visual Feedback
Background Color
- 🟩 Green = Strong Session (GOOD SETUP)
- 🟥 Red = Weak Structure (SKIP)
Labels & Shapes** at 6:30AM PST
📋 Dashboard Panel (6:30AM PST)
Displays key live metrics:
Premarket Range
First 5-minute Candle Body Size
VWAP Distance
Overall Setup Signal (✅ or ⚠️)
🔔 Real-Time Alert System
Get notified right at the NY open if a “GOOD SETUP” is detected.
🛠️ Configurable Settings
🔧 Minimum Premarket Range
🔧 Minimum Candle Body Size
🔧 Minimum VWAP Distance
🎨 Custom Colors for:
- Session Quality
- Dashboard
- VWAP / Range Lines
🔔 How to Add the Alert
Load this script on your MNQ chart.
Click the **"Alerts" tab** (🔔 icon on the right sidebar).
Click **"+ Create Alert"**.
For **Condition**, select:
- `NY Open Market Condition Analyzer – TTR & RI` → `Good Setup Alert`
Set **Alert Action** (app push, email, webhook, etc.)
Set **"Only Once Per Bar"** to ensure you’re only notified once at 6:30AM PST.
🧪 Best For
NQ/MNQ scalpers using 1R setups (10–30pt targets)
Traders who want to avoid Mondays/Fridays unless structure proves otherwise
Structure-first discretionary or semi-systematic traders
🧠 Pro Tip
Pair this with:
Session VWAP
Pre-market S/R zones
Opening Range Breakout strategies
This tool ensures you’re only hunting on the right terrain.
ADX Forecast [Titans_Invest]ADX Forecast
This isn’t just another ADX indicator — it’s the most powerful and complete ADX tool ever created, and without question the best ADX indicator on TradingView, possibly even the best in the world.
ADX Forecast represents a revolutionary leap in trend strength analysis, blending the timeless principles of the classic ADX with cutting-edge predictive modeling. For the first time on TradingView, you can anticipate future ADX movements using scientifically validated linear regression — a true game-changer for traders looking to stay ahead of trend shifts.
1. Real-Time ADX Forecasting
By applying least squares linear regression, ADX Forecast projects the future trajectory of the ADX with exceptional accuracy. This forecasting power enables traders to anticipate changes in trend strength before they fully unfold — a vital edge in fast-moving markets.
2. Unmatched Customization & Precision
With 26 long entry conditions and 26 short entry conditions, this indicator accounts for every possible ADX scenario. Every parameter is fully customizable, making it adaptable to any trading strategy — from scalping to swing trading to long-term investing.
3. Transparency & Advanced Visualization
Visualize internal ADX dynamics in real time with interactive tags, smart flags, and fully adjustable threshold levels. Every signal is transparent, logic-based, and engineered to fit seamlessly into professional-grade trading systems.
4. Scientific Foundation, Elite Execution
Grounded in statistical precision and machine learning principles, ADX Forecast upgrades the classic ADX from a reactive lagging tool into a forward-looking trend prediction engine. This isn’t just an indicator — it’s a scientific evolution in trend analysis.
⯁ SCIENTIFIC BASIS LINEAR REGRESSION
Linear Regression is a fundamental method of statistics and machine learning, used to model the relationship between a dependent variable y and one or more independent variables 𝑥.
The general formula for a simple linear regression is given by:
y = β₀ + β₁x + ε
β₁ = Σ((xᵢ - x̄)(yᵢ - ȳ)) / Σ((xᵢ - x̄)²)
β₀ = ȳ - β₁x̄
Where:
y = is the predicted variable (e.g. future value of RSI)
x = is the explanatory variable (e.g. time or bar index)
β0 = is the intercept (value of 𝑦 when 𝑥 = 0)
𝛽1 = is the slope of the line (rate of change)
ε = is the random error term
The goal is to estimate the coefficients 𝛽0 and 𝛽1 so as to minimize the sum of the squared errors — the so-called Random Error Method Least Squares.
⯁ LEAST SQUARES ESTIMATION
To minimize the error between predicted and observed values, we use the following formulas:
β₁ = /
β₀ = ȳ - β₁x̄
Where:
∑ = sum
x̄ = mean of x
ȳ = mean of y
x_i, y_i = individual values of the variables.
Where:
x_i and y_i are the means of the independent and dependent variables, respectively.
i ranges from 1 to n, the number of observations.
These equations guarantee the best linear unbiased estimator, according to the Gauss-Markov theorem, assuming homoscedasticity and linearity.
⯁ LINEAR REGRESSION IN MACHINE LEARNING
Linear regression is one of the cornerstones of supervised learning. Its simplicity and ability to generate accurate quantitative predictions make it essential in AI systems, predictive algorithms, time series analysis, and automated trading strategies.
By applying this model to the ADX, you are literally putting artificial intelligence at the heart of a classic indicator, bringing a new dimension to technical analysis.
⯁ VISUAL INTERPRETATION
Imagine an ADX time series like this:
Time →
ADX →
The regression line will smooth these values and extend them n periods into the future, creating a predicted trajectory based on the historical moment. This line becomes the predicted ADX, which can be crossed with the actual ADX to generate more intelligent signals.
⯁ SUMMARY OF SCIENTIFIC CONCEPTS USED
Linear Regression Models the relationship between variables using a straight line.
Least Squares Minimizes the sum of squared errors between prediction and reality.
Time Series Forecasting Estimates future values based on historical data.
Supervised Learning Trains models to predict outputs from known inputs.
Statistical Smoothing Reduces noise and reveals underlying trends.
⯁ WHY THIS INDICATOR IS REVOLUTIONARY
Scientifically-based: Based on statistical theory and mathematical inference.
Unprecedented: First public ADX with least squares predictive modeling.
Intelligent: Built with machine learning logic.
Practical: Generates forward-thinking signals.
Customizable: Flexible for any trading strategy.
⯁ CONCLUSION
By combining ADX with linear regression, this indicator allows a trader to predict market momentum, not just follow it.
ADX Forecast is not just an indicator — it is a scientific breakthrough in technical analysis technology.
⯁ Example of simple linear regression, which has one independent variable:
⯁ In linear regression, observations ( red ) are considered to be the result of random deviations ( green ) from an underlying relationship ( blue ) between a dependent variable ( y ) and an independent variable ( x ).
⯁ Visualizing heteroscedasticity in a scatterplot against 100 random fitted values using Matlab:
⯁ The data sets in the Anscombe's quartet are designed to have approximately the same linear regression line (as well as nearly identical means, standard deviations, and correlations) but are graphically very different. This illustrates the pitfalls of relying solely on a fitted model to understand the relationship between variables.
⯁ The result of fitting a set of data points with a quadratic function:
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🥇 This is the world’s first ADX indicator with: Linear Regression for Forecasting 🥇_______________________________________________________________________
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🔮 Linear Regression: PineScript Technical Parameters 🔮
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Forecast Types:
• Flat: Assumes prices will remain the same.
• Linreg: Makes a 'Linear Regression' forecast for n periods.
Technical Information:
ta.linreg (built-in function)
Linear regression curve. A line that best fits the specified prices over a user-defined time period. It is calculated using the least squares method. The result of this function is calculated using the formula: linreg = intercept + slope * (length - 1 - offset), where intercept and slope are the values calculated using the least squares method on the source series.
Syntax:
• Function: ta.linreg()
Parameters:
• source: Source price series.
• length: Number of bars (period).
• offset: Offset.
• return: Linear regression curve.
This function has been cleverly applied to the RSI, making it capable of projecting future values based on past statistical trends.
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⯁ WHAT IS THE ADX❓
The Average Directional Index (ADX) is a technical analysis indicator developed by J. Welles Wilder. It measures the strength of a trend in a market, regardless of whether the trend is up or down.
The ADX is an integral part of the Directional Movement System, which also includes the Plus Directional Indicator (+DI) and the Minus Directional Indicator (-DI). By combining these components, the ADX provides a comprehensive view of market trend strength.
⯁ HOW TO USE THE ADX❓
The ADX is calculated based on the moving average of the price range expansion over a specified period (usually 14 periods). It is plotted on a scale from 0 to 100 and has three main zones:
• Strong Trend: When the ADX is above 25, indicating a strong trend.
• Weak Trend: When the ADX is below 20, indicating a weak or non-existent trend.
• Neutral Zone: Between 20 and 25, where the trend strength is unclear.
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⯁ ENTRY CONDITIONS
The conditions below are fully flexible and allow for complete customization of the signal.
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🔹 CONDITIONS TO BUY 📈
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• Signal Validity: The signal will remain valid for X bars .
• Signal Sequence: Configurable as AND or OR .
🔹 +DI > -DI
🔹 +DI < -DI
🔹 +DI > ADX
🔹 +DI < ADX
🔹 -DI > ADX
🔹 -DI < ADX
🔹 ADX > Threshold
🔹 ADX < Threshold
🔹 +DI > Threshold
🔹 +DI < Threshold
🔹 -DI > Threshold
🔹 -DI < Threshold
🔹 +DI (Crossover) -DI
🔹 +DI (Crossunder) -DI
🔹 +DI (Crossover) ADX
🔹 +DI (Crossunder) ADX
🔹 +DI (Crossover) Threshold
🔹 +DI (Crossunder) Threshold
🔹 -DI (Crossover) ADX
🔹 -DI (Crossunder) ADX
🔹 -DI (Crossover) Threshold
🔹 -DI (Crossunder) Threshold
🔮 +DI (Crossover) -DI Forecast
🔮 +DI (Crossunder) -DI Forecast
🔮 ADX (Crossover) +DI Forecast
🔮 ADX (Crossunder) +DI Forecast
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🔸 CONDITIONS TO SELL 📉
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• Signal Validity: The signal will remain valid for X bars .
• Signal Sequence: Configurable as AND or OR .
🔸 +DI > -DI
🔸 +DI < -DI
🔸 +DI > ADX
🔸 +DI < ADX
🔸 -DI > ADX
🔸 -DI < ADX
🔸 ADX > Threshold
🔸 ADX < Threshold
🔸 +DI > Threshold
🔸 +DI < Threshold
🔸 -DI > Threshold
🔸 -DI < Threshold
🔸 +DI (Crossover) -DI
🔸 +DI (Crossunder) -DI
🔸 +DI (Crossover) ADX
🔸 +DI (Crossunder) ADX
🔸 +DI (Crossover) Threshold
🔸 +DI (Crossunder) Threshold
🔸 -DI (Crossover) ADX
🔸 -DI (Crossunder) ADX
🔸 -DI (Crossover) Threshold
🔸 -DI (Crossunder) Threshold
🔮 +DI (Crossover) -DI Forecast
🔮 +DI (Crossunder) -DI Forecast
🔮 ADX (Crossover) +DI Forecast
🔮 ADX (Crossunder) +DI Forecast
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🤖 AUTOMATION 🤖
• You can automate the BUY and SELL signals of this indicator.
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⯁ UNIQUE FEATURES
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Linear Regression: (Forecast)
Signal Validity: The signal will remain valid for X bars
Signal Sequence: Configurable as AND/OR
Condition Table: BUY/SELL
Condition Labels: BUY/SELL
Plot Labels in the Graph Above: BUY/SELL
Automate and Monitor Signals/Alerts: BUY/SELL
Linear Regression (Forecast)
Signal Validity: The signal will remain valid for X bars
Signal Sequence: Configurable as AND/OR
Table of Conditions: BUY/SELL
Conditions Label: BUY/SELL
Plot Labels in the graph above: BUY/SELL
Automate & Monitor Signals/Alerts: BUY/SELL
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📜 SCRIPT : ADX Forecast
🎴 Art by : @Titans_Invest & @DiFlip
👨💻 Dev by : @Titans_Invest & @DiFlip
🎑 Titans Invest — The Wizards Without Gloves 🧤
✨ Enjoy!
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o Mission 🗺
• Inspire Traders to manifest Magic in the Market.
o Vision 𐓏
• To elevate collective Energy 𐓷𐓏
True Seasonal Pattern [tradeviZion]True Seasonal Pattern: Uncover Hidden Market Cycles
Markets have rhythms and patterns that repeat with surprising regularity. The True Seasonal Pattern indicator reveals these hidden cycles across different timeframes, helping you anticipate potential market movements based on historical seasonal tendencies.
What This Indicator Does
The True Seasonal Pattern analyzes years of historical price data to identify recurring seasonal trends. It then plots these patterns on your chart, showing you both the historical pattern and future projection based on past seasonal behavior.
Automatic Timeframe Detection: Works with Monthly, Weekly, and Daily charts
Historical Pattern Analysis: Analyzes up to 100 years of data (customizable)
Future Projection: Projects the seasonal pattern ahead on your chart
Smart Smoothing: Applies appropriate smoothing based on your timeframe
How to Use This Indicator
Add the indicator to a Daily, Weekly, or Monthly chart (not designed for intraday timeframes)
The indicator automatically detects your chart's timeframe
The blue line shows the historical seasonal pattern
Watch for potential turning points in the pattern that align with other technical signals
Seasonal patterns work best as a supporting factor in your analysis, not as standalone trading signals. They are particularly effective in markets with well-established seasonal influences.
Best Applications
Futures Markets: Commodities and futures often show strong seasonal tendencies due to production cycles, weather patterns, and economic factors
Stock Indices: Many stock markets demonstrate regular seasonal patterns (like the "Sell in May" phenomenon)
Individual Stocks: Companies with seasonal business cycles often show predictable price patterns
Practical Applications
Identify potential turning points based on historical seasonal patterns
Plan entries and exits around seasonal tendencies
Add seasonal context to your existing technical analysis
Understand why certain months or periods might show consistent behavior
Pro Tip: For best results, use this tool on instruments with at least 5+ years of historical data. Longer timeframes often reveal more reliable seasonal patterns.
Important Notes
This indicator works best on Daily, Weekly, and Monthly timeframes - not intraday charts
Seasonal patterns are tendencies, not guarantees
Always combine seasonal analysis with other technical tools
Past patterns may not repeat exactly in the future
// Sample of the seasonal calculation approach
float yearHigh = array.max(currentYearHighs)
float yearLow = array.min(currentYearLows)
// Calculate seasonality for each period
for i = 0 to array.size(currentYearCloses) - 1
float periodClose = array.get(currentYearCloses, i)
if not na(periodClose) and yearHigh != yearLow
float seasonality = (periodClose - yearLow) / (yearHigh - yearLow) * 100
I developed this indicator to help traders incorporate seasonal analysis into their trading approach without the complexity of traditional seasonal tools. Whether you're analyzing agricultural commodities, energy futures, or stock indices, understanding the seasonal context can provide valuable insights for your trading decisions.
Remember: Markets don't always follow seasonal patterns, but when they do, being aware of these tendencies can give you a meaningful edge in your analysis.
Market Warning Dashboard Enhanced📊 Market Warning Dashboard Enhanced
A powerful macro risk dashboard that tracks and visualizes early signs of market instability across multiple key indicators—presented in a clean, professional layout with a real-time thermometer-style danger gauge.
🔍 Included Macro Signals:
Yield Curve Inversion: 10Y-2Y and 10Y-3M spreads
Credit Spreads: High-yield (HYG) vs Investment Grade (LQD)
Volatility Structure: VIX/VXV ratio
Breadth Estimate: SPY vs 50-day MA (as a proxy)
🔥 Features:
Real-time Danger Score: 0 (Safe) to 100 (Extreme Risk)
Descriptive warnings for each signal
Color-coded thermometer gauge
Alert conditions for each macro risk
Background shifts on rising systemic risk
⚠️ This dashboard can save your portfolio by alerting you to macro trouble before it hits the headlines—ideal for swing traders, long-term investors, and anyone who doesn’t want to get blindsided by systemic risk.
TTM Squeeze Overlay (Wave A/B/C Visible)This script overlays three MACD-based wave structures directly on the price chart — giving you a clear, time-based view of market momentum without needing a sub-panel.
🔴 Wave A (Short-Term) – fast reactions, shows immediate price pressure
⚫ Wave B (Mid-Term) – smoother movements, ideal for swing context
🔵 Wave C (Long-Term) – area-style macro trend overlay
All waves are dynamically scaled and centered around price action, so you don’t need to manually stretch or shift anything.
Built for traders who want trend clarity at a glance — right where it matters.
Colored SMA by Time & TrendScalping script for XAUUSD this indicator checks times in which there is a usual uptrend or downtrend for this instrument. When green, a buy is likely to be profitable (at least for a few bars) and when red, a sell is likely to be profitable (for the next few bars).
TTM Squeeze Overlay (Wave A/B/C Visible)This script overlays three MACD-based wave structures directly on the price chart — giving you a clear, time-based view of market momentum without needing a sub-panel.
🔴 Wave A (Short-Term) – fast reactions, shows immediate price pressure
⚫ Wave B (Mid-Term) – smoother movements, ideal for swing context
🔵 Wave C (Long-Term) – area-style macro trend overlay
All waves are dynamically scaled and centered around price action, so you don’t need to manually stretch or shift anything.
Built for traders who want trend clarity at a glance — right where it matters.
S&P 500 Bear Markets and CorrectionsS&P 500 Corrections and Bear Markets (pullbacks/crashes) from 1970 to 2025 (May).
You are always welcome to reach out with feedback :-)
Best - Nicolai
Leonid's Bitcoin Macro & Liquidity Regime Tracker🧠 Macro Overlay Score (Bitcoin Liquidity Regime Tracker)
This indicator combines the most important macroeconomic and on-chain inputs into a single unified score to help investors identify Bitcoin’s long-term cycle phases. Each input is normalized into a 0–100 score and blended using configurable weights to generate a dynamic, forward-looking macro regime tracker.
✅ Best used on the **Bitcoin All Time History Index with Weekly resolution** (`INDEX:BTCUSD`) for maximum historical context and signal clarity.
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📈 Why Macro?
Macro liquidity conditions — interest rates, monetary expansion, dollar strength, credit risk — drive Bitcoin cycles . Risk assets like BTC thrive during periods of:
Monetary easing
Liquidity injections
Expansionary central bank policy
This overlay surfaces those periods *before* price follows. It captures cycle shifts in the business cycle, monetary policy, and investor sentiment — making it ideal for long-term allocators, macro-aligned investors, and cycle-focused BTC holders.
🔔 This is **not** designed for short-term or swing trading. It is optimized for **macro trend confirmation and regime awareness** — not fast entry/exit signals.
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🔍 What It Tracks
Macro Inputs:
- 🏭 ISM 3M Trend (Business Cycle)
- 💹 CPI YoY (Inverted Inflation)
- 💵 M2 YoY + M2 Acceleration
- 🇨🇳 China M2 (Global Liquidity)
- 💱 DXY 3M Trend (USD Strength)
- 🏦 TGA & RRP YoY (Treasury / MMF Flows)
- 🏛 Fed Balance Sheet (WALCL)
- 💳 High Yield Spread (Credit Conditions)
- 💧 Net Liquidity Composite = WALCL – TGA – RRP
On-Chain Inputs:
- ⚠️ MVRV Ratio (Valuation Cycles)
- 🚀 Mayer Multiple Acceleration (200DMA Momentum)
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🧩 How It Works
Each input is:
Normalized to a 0–100 score
Weighted by importance (fully configurable)
Combined into a **composite Macro Score**, then normalized across history
The chart will display:
🔷 A 0–100 **Macro Score Line**
🧭 **Cycle Phase classification**: Accumulation, Expansion, Distribution, Capitulation
📊 Optional **debug table** with all sub-scores
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🧠 Interpreting the Signal
| Signal Type | Meaning |
|-------------------|---------------------------------------------|
| Macro Score ↑ | Liquidity improving → Bullish regime forming |
| Macro Score ↓ | Liquidity deteriorating → Caution warranted |
| Score < 40 & Rising | 🔵 Accumulation cycle likely beginning |
| Score > 70 & Falling | 🟡 Distribution / Macro exhaustion |
| Net Liquidity ↑ | Strong driver of BTC upside historically |
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❓ FAQ
Q: Why did the Macro Score peak in March 2021, but Bitcoin topped in November?
> The indicator reflects **macro liquidity**, not price momentum. M2 growth slowed, DXY bottomed, and the Fed stopped expanding WALCL by Q1 2021 — all signs of macro exhaustion. BTC continued on **residual momentum**, but the smart money began exiting months earlier.
Q: What does the score range mean?
- 0–25 : Tight liquidity, unfavorable conditions
- 50 : Neutral environment
- 75–100 : Strong easing, liquidity surge
Q: Is this good for short-term signals?
> No. This is a **macro-level overlay**, best used for 3–12 month context shifts, not day trades.
Q: Can I adjust the weights?
> Yes. You can tune the influence of each input to match your thesis (e.g., overweight on-chain, or global liquidity).
Q: Do I need special data access?
> No. All symbols are public TradingView datasets (FRED, CryptoCap, etc.). Just use this on a BTC chart like `BTCUSD`.
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✅ How to Use
- Load on **`INDEX:BTCUSD`**, set to **Weekly timeframe**
- Confirm long-term bottoms when score is low and rising (Accumulation → Expansion)
- Watch for tops when score is high and falling (Distribution → Capitulation)
- Combine with price structure, realized profit/loss, and market sentiment
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🚀 If you're serious about understanding Bitcoin's macro regime, this is your alpha map. Share it, clone it, and build on it.
Optics pro V2Overview of the functionality:
Optics Pro is a tool that forecasts important reference zones based on mathematical calculation of market ranges. Average true range and daily market range movement are some of the parameters which go into the calculation of optics.
Everyday, the markets do not move in the same way. Some days are trending days and some days are range bound days. Optics help identify the important zones beyond which there is a higher probability of a trend.
Optics also helps identify zones from where there is a higher probability of trend moves to get exhausted or fatigued.
Uses:
1. Optics can be used on multiple timeframes with references plotted across daily, weekly and monthly ranges.
2. Default settings of the tool work well.
3. LB1 and UB1 are market liquidity seeking zones.
4. Beyond LB1 and UB1, markets can get into a trend move.
5. LB2 and UB2 are first trend move objectives.
6. LER and SER are long and short exhaustion zones.
7. MR stands for mean reversion.
8. HS and HL are only useful for 1 min timeframe users.
Disclaimer: Optics V2 is a tool with the purpose of decoding and understanding market movement but does not generate any buy/sell/hold signals. It is not shared for enhancing the learning of an individual about markets but NOT with an aim to induce or encourage trading/investing. Trading/Investing are risky endeavours with risk of partial or complete erosion of capital. Please consult a registered financial advisor before venturing into trading/investing
TTM Squeeze Overlay (Wave A/B/C Visible)This indicator shows three different cycle wave energy ( long, short and now )
Kameniczki SMI 2.0Kameniczki SMI 2.0 is a powerful analytical tool designed for traders who demand precision, consistency, and a clear view of market dynamics. This indicator provides clean and reliable signals to support confident decision-making.
Thanks to its flexibility between Daytrading and Swingtrading modes, it easily adapts to any trader's style. Clearly defined overbought and oversold zones help you identify market reversals with maximum accuracy, while visual gradient fills enhance both readability and chart aesthetics.
Kameniczki SMI 2.0 helps you see what others miss – giving you an edge where it matters most: right in the market.
