IU BBB(Big Body Bar) StrategyDESCRIPTION
The IU BBB (Big Body Bar) Strategy is a price action-based trading strategy that identifies high-momentum candles with significantly larger body sizes compared to the average. It enters trades when a strong bullish or bearish move occurs and manages risk using an ATR-based trailing stop-loss system.
USER INPUTS:
- Big Body Threshold – Defines how many times larger the candle body should be compared to the average body ( default is 4 ).
- ATR Length – The period for the Average True Range (ATR) used in the trailing stop-loss calculation ( default is 14 ).
- ATR Factor – Multiplier for ATR to determine the trailing stop distance ( default is 2 ).
LONG CONDITION:
- The current candle’s body is greater than the average body size multiplied by the Big Body Threshold.
- The closing price is higher than the opening price (bullish candle).
SHORT CONDITION:
- The current candle’s body is greater than the average body size multiplied by the Big Body Threshold.
- The closing price is lower than the opening price (bearish candle).
LONG EXIT:
- ATR-based trailing stop-loss dynamically adjusts, locking in profits as the price moves higher.
SHORT EXIT:
- ATR-based trailing stop-loss dynamically adjusts, securing profits as the price moves lower.
WHY IT IS UNIQUE:
- Unlike traditional momentum strategies, this system adapts to volatility by filtering trades based on relative candle size.
- It incorporates an ATR-based trailing stop-loss, ensuring risk management and profit protection.
- The strategy avoids choppy market conditions by only trading when significant momentum is present.
HOW USERS CAN BENEFIT FROM IT:
- Catch Strong Price Moves – The strategy helps traders enter trades when the market shows decisive momentum.
- Effective Risk Management – The ATR-based trailing stop ensures that winning trades remain profitable.
- Works Across Markets – Can be applied to stocks, forex, crypto, and indices with proper optimization.
- Fully Customizable – Users can adjust sensitivity settings to match their trading style and time frame.
Forecasting
The Investment Clock Orbital GraphThe Investment Clock Orbital Graph is an advanced visualization tool designed to help traders and investors track economic cycles using a dynamic scatter plot of GDP growth vs. CPI inflation rates.
This indicator is a fusion of two powerful TradingView indicators:
LuxAlgo ’s Relative Strength Scatter Plot – A robust scatter plot for tracking relative strength.
The Investment Clock Indicator – A cycle-based approach to market rotation. This indicator contains more information regarding The Investment Clock.
By combining these approaches, the Investment Clock Orbital Graph enables traders to visualize economic momentum and inflationary trends in a unique, orbital-style scatter plot.
Key Features & Improvements
Orbital Graph Representation – Displays GDP growth and CPI inflation as a dynamic, evolving scatter plot, showing how the economy moves through different phases.
Quadrant-Based Market Regimes – Identifies four key economic phases:
1)🔥 Overheating (High Growth, High Inflation)
2)📉 Stagflation (Low Growth, High Inflation)
3)🤒 Recovery (High Growth, Low Inflation)
4)🎈 Reflation (Low Growth, Low Inflation)
Data-Driven Analysis – Utilizes FRED (Federal Reserve Economic Data) for accurate real-world GDP & CPI data.
Trailing Path of Economic Evolution – Tracks historical economic cycles over time to show momentum and cyclical movements.
Customizable Parameters – Set sustainable GDP growth and inflation thresholds, adjust trail length, and fine-tune scatter plot resolution.
Auto-Labeled Quadrants & Revised Accurate Market Guidance – Each quadrant includes newly updated tooltips and annotations (like ETF suggestions) to help traders make informed decisions.
Live Macro Forecasting Tool – Helps traders anticipate future market conditions, rate hikes/cuts, and sector rotations.
How to Use for Trading Decisions
The Investment Clock Orbital Graph helps traders and macro investors by identifying market phases and providing insights into asset class performance during different economic conditions.
📌 Step 1: Identify the Current Quadrant
Locate the most recent point on the orbital graph to see if the economy is in Overheating, Stagflation, Recovery, or Reflation.
📌 Step 2: Forecast Market Trends
The trajectory of the points can predict upcoming economic shifts:
Overheating → Stagflation ➡️ Expect economic slowdowns, bearish stock markets.
Stagflation → Reflation ➡️ Interest rate cuts likely, bonds and defensive stocks perform well.
Reflation → Recovery ➡️ Risk-on rally, technology and cyclicals perform best.
Recovery → Overheating ➡️ Commodities surge, inflation rises, and central banks intervene.
📌 Step 3: Align Trading & Investing Strategies
🔥 Overheating – Favor commodities & energy (Oil, Industrial Stocks, Materials).
📉 Stagflation – Favor defensive assets (Cash, Utilities, Healthcare).
🤒 Recovery – Favor growth stocks (Technology, Consumer Discretionary).
🎈 Reflation – Favor bonds, value stocks, and financials.
📌 Step 4: Monitor Trends Over Time
The indicator visualizes economic movement over multiple months, allowing traders to confirm long-term trends vs. short-term noise.
The Investment Clock Orbital Graph is an essential macro trading tool, providing a real-time visualization of economic conditions. By tracking GDP growth vs. CPI inflation, traders and investors can align their portfolios with major macroeconomic shifts, predict sector rotations, and anticipate central bank policy changes.
SemiCircle Cycle Notation PivotsFor decades, traders have sought to decode the rhythm of the markets through cycle theory. From the groundbreaking work of HM Gartley in the 1930s to modern-day cycle trading tools on TradingView, the concept remains the same: markets move in repeating waves with larger cycles influencing smaller ones in a fractal-like structure, and understanding their timing gives traders an edge to better anticipate future price movements🔮.
Traditional cycle analysis has always been manual, requiring traders to painstakingly plot semicircles, diamonds, or sine waves to estimate pivot points and time reversals. Drawing tools like semicircle & sine wave projections exist on TradingView, but they lack automation—forcing traders to adjust cycle lengths by eye, often leading to inconsistencies.
This is where SemiCircle Cycle Notation Pivots indicator comes in. Semicircle cycle chart notation appears to have evolved as a practical visualization tool among cycle theorists rather than being pioneered by a single individual; some key influences include HM Gartley, WD Gann, JM Hurst, Walter Bressert, and RayTomes. Built upon LonesomeTheBlue's foundational ZigZag Waves indicator , this indicator takes cycle visualization to the next level by dynamically detecting price pivots and then automatically plotting semicircles based on real-time cycle length calculations & expected rhythm of price action over time.
Key Features:
Automated Cycle Detection: The indicator identifies pivot points based on your preference—highs, lows, or both—and plots semicircle waves that correspond to Hurst's cycle notation.
Customizable Cycle Lengths: Tailor the analysis to your trading strategy with adjustable cycle lengths, defaulting to 10, 20, and 40 bars, allowing for flexibility across various timeframes and assets.
Dynamic Wave Scaling: The semicircle waves adapt to different price structures, ensuring that the visualization remains proportional to the detected cycle lengths and aiding in the identification of potential reversal points.
Automated Cycle Detection: Dynamically identifies price pivot points and automatically adjusts offsets based on real-time cycle length calculations, ensuring precise semicircle wave alignment with market structure.
Color-Coded Cycle Tiers: Each cycle tier is distinctly color-coded, enabling quick differentiation and a clearer understanding of nested market cycles.
Simple APF Strategy Backtesting [The Quant Science]Simple backtesting strategy for the quantitative indicator Autocorrelation Price Forecasting. This is a Buy & Sell strategy that operates exclusively with long orders. It opens long positions and generates profit based on the future price forecast provided by the indicator. It's particularly suitable for trend-following trading strategies or directional markets with an established trend.
Main functions
1. Cycle Detection: Utilize autocorrelation to identify repetitive market behaviors and cycles.
2. Forecasting for Backtesting: Simulate trades and assess the profitability of various strategies based on future price predictions.
Logic
The strategy works as follow:
Entry Condition: Go long if the hypothetical gain exceeds the threshold gain (configurable by user interface).
Position Management: Sets a take-profit level based on the future price.
Position Sizing: Automatically calculates the order size as a percentage of the equity.
No Stop-Loss: this strategy doesn't includes any stop loss.
Example Use Case
A trader analyzes a dayli period using 7 historical bars for autocorrelation.
Sets a threshold gain of 20 points using a 5% of the equity for each trade.
Evaluates the effectiveness of a long-only strategy in this period to assess its profitability and risk-adjusted performance.
User Interface
Length: Set the length of the data used in the autocorrelation price forecasting model.
Thresold Gain: Minimum value to be considered for opening trades based on future price forecast.
Order Size: percentage size of the equity used for each single trade.
Strategy Limit
This strategy does not use a stop loss. If the price continues to drop and the future price forecast is incorrect, the trader may incur a loss or have their capital locked in the losing trade.
Disclaimer!
This is a simple template. Use the code as a starting point rather than a finished solution. The script does not include important parameters, so use it solely for educational purposes or as a boilerplate.
Ethereum Logarithmic Regression Bands (Fine-Tuned)This indicator, "Ethereum Logarithmic Regression Bands (Fine-Tuned)," is my attempt to create a tool for estimating long-term trends in Ethereum (ETH/USD) price action using logarithmic regression bands. Please note that I am not an expert in financial modeling or coding—I developed this as a personal project to serve as a rough estimation rather than a precise or professional trading tool. The data was fitted to non-bubble periods of Ethereum's history to provide a general trendline, but it’s far from perfect.
I’m sharing this because I couldn’t find a similar indicator available, and I thought it might be useful for others who are also exploring ETH’s long-term behavior. The bands start from Ethereum’s launch price and are adjustable via input parameters, but they are based on my best effort to align with historical data. With some decent coding experience, I’m sure someone could refine this further—perhaps by optimizing the coefficients or incorporating more advanced fitting techniques. Feel free to tweak the code, suggest improvements, or use it as a starting point for your own projects!
How to Use:
** THIS CHART IS SPECIFICALLY CODED FOR ETH/USD (KRAKEN) ON THE WEEKLY TIMEFRAME IN LOG VIEW**
The main band (blue) represents the logarithmic regression line.
The upper (red) and lower (green) bands provide a range around the main trend, adjustable with multipliers.
Adjust the "Launch Price," "Base Coefficient," "Growth Coefficient," and other inputs to experiment with different fits.
Disclaimer:
This is not financial advice. Use at your own risk, and always conduct your own research before making trading decisions.
M2 Global Liquidity Index - 10 Week Lead
M2 Global Liquidity Index - Forward Projection (10 Weeks)
This indicator provides a 10-week forward projection of the M2 Global Liquidity Index, offering traders insight into potential future market conditions based on global money supply trends.
What This Indicator Shows
The M2 Global Liquidity Index aggregates M2 money stock data from five major economies:
- China (CNY)
- United States (USD)
- European Union (EUR)
- Japan (JPY)
- Great Britain (GBP)
All values are converted to USD and presented as a unified global liquidity metric, providing a comprehensive view of worldwide monetary conditions.
Forward Projection Feature
This adaptation displays the indicator 10 weeks ahead of the current price, allowing you to visualize potential future liquidity conditions that might influence market behavior. The projection maintains data integrity while providing an advanced view of the liquidity landscape.
Trading Applications
- Anticipate potential market reactions to changing global liquidity conditions
- Identify divergences between projected liquidity and current price action
- Develop longer-term strategic positions based on forward liquidity projections
- Enhance your macro-economic analysis toolkit
Credit
This indicator is an adaptation of the original "M2 Global Liquidity Index" created by Mik3Christ3ns3n. Full credit for the original concept and implementation goes to the original author. This version simply adds a 10-week forward projection to the existing calculations.
Disclaimer
This indicator is for informational purposes only and should be used as one of many tools in your analysis. Past performance and projections are not guarantees of future results.
MTF ATR BandsA simple but effective MTF ATR bands indicator.
The script calculate and display ATR bands low and high of the current timeframe using high, low inputs and an RMA moving average, adding to it ATR of the period multiplied with the user multiplier, default is set to 1.5.
Than is calculated a smoothed average of the range and the color of it based on its slope, same color is used to fill the atr bands.
Than the higher timeframe bands are calculated and displayed on the chart.
How can be used ?
The higher timeframe average and bands can give you long term direction of the trend and the current timeframes moving average and filling short term trend, for example using the 15 min chart with a 4h HTF bands, or an 1h with a daily, or a daily with an weekly or weekly with bi-monthly atr bands.
Also can be used as a stop loss indicator.
Hope you will like it, any question send me a PM.
IU Gap Fill StrategyThe IU Gap Fill Strategy is designed to capitalize on price gaps that occur between trading sessions. It identifies gaps based on a user-defined percentage threshold and executes trades when the price fills the gap within a day. This strategy is ideal for traders looking to take advantage of market inefficiencies that arise due to overnight or session-based price movements. An ATR-based trailing stop-loss is incorporated to dynamically manage risk and lock in profits.
USER INPUTS
Percentage Difference for Valid Gap - Defines the minimum gap size in percentage terms for a valid trade setup. ( Default is 0.2 )
ATR Length - Sets the lookback period for the Average True Range (ATR) calculation. (default is 14 )
ATR Factor - Determines the multiplier for the trailing stop-loss, helping in risk management. ( Default is 2.00 )
LONG CONDITION
A gap-up occurs, meaning the current session opens above the previous session’s close.
The price initially dips below the previous session's close but then recovers and closes above it.
The gap meets the valid percentage threshold set by the user.
The bar is not the first or last bar of the session to avoid false signals.
SHORT CONDITION
A gap-down occurs, meaning the current session opens below the previous session’s close.
The price initially moves above the previous session’s close but then closes below it.
The gap meets the valid percentage threshold set by the user.
The bar is not the first or last bar of the session to avoid false signals.
LONG EXIT
An ATR-based trailing stop-loss is set below the entry price and dynamically adjusts upwards as the price moves in favor of the trade.
The position is closed when the trailing stop-loss is hit.
SHORT EXIT
An ATR-based trailing stop-loss is set above the entry price and dynamically adjusts downwards as the price moves in favor of the trade.
The position is closed when the trailing stop-loss is hit.
WHY IT IS UNIQUE
Precision in Identifying Gaps - The strategy focuses on real price gaps rather than minor fluctuations.
Dynamic Risk Management - Uses ATR-based trailing stop-loss to secure profits while allowing the trade to run.
Versatility - Works on stocks, indices, forex, and any market that experiences session-based gaps.
Optimized Entry Conditions - Ensures entries are taken only when the price attempts to fill the gap, reducing false signals.
HOW USERS CAN BENEFIT FROM IT
Enhance Trade Timing - Captures high-probability trade setups based on market inefficiencies caused by gaps.
Minimize Risk - The ATR trailing stop-loss helps protect gains and limit losses.
Works in Different Market Conditions - Whether markets are trending or consolidating, the strategy adapts to potential gap fill opportunities.
Fully Customizable - Users can fine-tune gap percentage, ATR settings, and stop-loss parameters to match their trading style.
Round NumbersTries to only show major round numbers regardless of whether you're looking at something priced in the thousands or under a dollar.
ReadyFor401ks Pivot / Support / ResistOverview
The ReadyFor401ks Pivot / Support / Resist indicator is a versatile tool designed to help traders identify key price levels—pivots, supports, and resistances—derived from a higher timeframe. This indicator recalculates levels based on a user-defined timeframe, providing you with a broader context for potential market reversals and continuations.
Key Features and Benefits
• Customizable Higher Timeframe:
You can select the frequency at which the levels are recalculated. For example, on a Daily chart, you might choose a 3-month timeframe to determine the pivot levels. This allows you to capture longer-term support and resistance zones that can be crucial for identifying major price reactions.
• Visual Clarity:
With toggles to show or hide the pivot, support, and resistance lines on the price chart, you have full control over the visual clutter on your chart. Additionally, you can choose to display the exact price values directly on the price scale, giving you an immediate reference as you trade.
• Enhanced Data Display:
In addition to price scale labels, the indicator offers an option to show the level values on the status line (data window). This feature is especially beneficial for traders who want to keep a close eye on these key levels without compromising chart space.
Practical Example
Imagine you’re analyzing a Daily chart while the indicator is set to recalculate levels on a 3-month frequency . Over a three-month period, the indicator determines a pivot point (P) along with three levels of resistance (R1, R2, R3) and support (S1, S2, S3). As price action unfolds, you may observe that:
• Price approaches the pivot level (P): This could indicate a potential reversal or a consolidation zone.
• Price bounces off a resistance level (e.g., R1): Signaling that the market is struggling to break higher.
• Price finds support at S1: Providing an opportunity to look for a bullish reversal.
By combining these insights with your own technical analysis, you can make more informed trading decisions based on significant levels that have been validated over a longer timeframe.
Conclusion
The ReadyFor401ks Pivot / Support / Resist indicator is ideal for traders who want to add an extra layer of confirmation to their trading strategies by identifying key price levels derived from higher timeframe data. Whether you’re a swing trader or a long-term investor, this tool helps you visualize crucial support and resistance areas, improving your market timing and risk management. Enjoy the enhanced clarity and flexibility this indicator offers on your TradingView charts!
Real-Time Price Comparator→ La version française se trouve plus bas ←
Real-Time Price Spread Comparator
This indicator allows you to compare the real-time price difference (spread) between two assets. It is particularly useful for spotting arbitrage opportunities or price discrepancies between different markets.
💡 Why is this useful?
This tool is especially practical for monitoring the gap between CME futures and the spot market. If the spread becomes too large, we can expect the market to rebalance, which can help anticipate potential price movements.
📌 Features:
✅ Compare two assets of your choice (default: BTC CME vs. BTC OANDA).
✅ Displays the spread as a real-time value on the chart.
✅ Customizable threshold for alerts when the spread exceeds a certain value.
✅ Visual alert: The label changes color and an alert icon appears when the threshold is exceeded.
✅ Adjustable label position to avoid obstructing candlestick wicks.
🛠️ How to Use:
1️⃣ Choose the asset to compare (for example, BTC CME).
2️⃣ Select the main chart (the one you are currently viewing, such as BTC OANDA).
3️⃣ Set the alert threshold (the spread value that will trigger an alert).
4️⃣ Adjust the label position using the offset settings if needed.
5️⃣ When the spread exceeds the threshold, an alert will be displayed!
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Comparateur de Spread en Temps Réel
Cet indicateur permet de comparer en temps réel la différence de prix (spread) entre deux actifs. Il est particulièrement utile pour détecter des opportunités d’arbitrage ou des écarts de prix entre différents marchés.
💡 Pourquoi c'est utile ?
Cet outil est pratique pour surveiller l’écart entre les contrats à terme CME et le marché spot. Si l’écart devient trop important, on peut s’attendre à ce que le marché s’équilibre, ce qui peut nous orienter sur les futurs mouvements du prix.
📌 Fonctionnalités :
✅ Comparez deux actifs de votre choix (par défaut : BTC CME vs. BTC OANDA).
✅ Affiche le spread en temps réel directement sur le graphique.
✅ Définissez un seuil d’alerte pour être notifié visuellement sur le graphique si le spread dépasse une certaine valeur.
✅ Alerte visuelle : le label change de couleur et une icône d’alerte apparaît en cas de dépassement.
✅ Ajustez la position du label pour éviter qu’il ne cache les mèches des bougies.
🛠️ Comment l’utiliser :
1️⃣ Choisissez l’actif à comparer (exemple : BTC CME).
2️⃣ Sélectionnez ensuite l’actif affiché sur votre graphique principal (exemple : BTC OANDA).
3️⃣ Définissez le seuil d’alerte (valeur du spread qui déclenchera une alerte).
4️⃣ Ajustez la position du label grâce aux options d’offset si nécessaire.
5️⃣ Si le spread dépasse le seuil, une alerte visuelle apparaîtra !
FinFluential Global M2 Money Supply // Days Offset =The "Global M2 Money Supply" indicator calculates and visualizes the combined M2 money supply from multiple countries and regions worldwide, expressed in trillions of USD.
M2 is a measure of the money supply that includes cash, checking deposits, and easily convertible near-money assets. This indicator aggregates daily M2 data from various economies, converts them into a common USD base using forex exchange rates, and plots the total as a single line on the chart.
It is designed as an overlay indicator aligned to the right scale, making it ideal for comparing global money supply trends with price action or other market data.
Key Features
Customizable Time Offset: Users can adjust the number of days to shift the M2 data forward or backward (from -1000 to +1000 days) via the indicator settings. This allows for alignment with historical events or forward-looking analysis.
Global Coverage Includes:
Eurozone: Eurozone M2 (converted via EUR/USD)
North America: United States, Canada
Non-EU Europe: Switzerland, United Kingdom, Finland, Russia
Pacific: New Zealand
Asia: China, Taiwan, Hong Kong, India, Japan, Philippines, Singapore
Latin America: Brazil, Colombia, Mexico
Middle East: United Arab Emirates, Turkey
Africa: South Africa
VIX:VIX3M RatioThe VIX/VIX3M Ratio indicator compares the short-term (1-month) volatility index (VIX) to the medium-term (3-month) volatility index (VIX3M). This ratio provides insights into the market's volatility expectations across different time horizons.
Key Interpretations:
Ratio > 1: Short-term volatility expectations are higher than 3-month expectations
Ratio = 1: Short-term and medium-term volatility expectations are aligned
Ratio < 1: Medium-term volatility expectations are higher than short-term expectations
Potential Trading Insights:
A rising ratio may indicate increasing near-term market uncertainty
Significant deviations from 1.0 can signal potential market stress or changing risk perceptions
Traders use this to gauge the term structure of market volatility
Divergence IQ [TradingIQ]Hello Traders!
Introducing "Divergence IQ"
Divergence IQ lets traders identify divergences between price action and almost ANY TradingView technical indicator. This tool is designed to help you spot potential trend reversals and continuation patterns with a range of configurable features.
Features
Divergence Detection
Detects both regular and hidden divergences for bullish and bearish setups by comparing price movements with changes in the indicator.
Offers two detection methods: one based on classic pivot point analysis and another that provides immediate divergence signals.
Option to use closing prices for divergence detection, allowing you to choose the data that best fits your strategy.
Normalization Options:
Includes multiple normalization techniques such as robust scaling, rolling Z-score, rolling min-max, or no normalization at all.
Adjustable normalization window lets you customize the indicator to suit various market conditions.
Option to display the normalized indicator on the chart for clearer visual comparison.
Allows traders to take indicators that aren't oscillators, and convert them into an oscillator - allowing for better divergence detection.
Simulated Trade Management:
Integrates simulated trade entries and exits based on divergence signals to demonstrate potential trading outcomes.
Customizable exit strategies with options for ATR-based or percentage-based stop loss and profit target settings.
Automatically calculates key trade metrics such as profit percentage, win rate, profit factor, and total trade count.
Visual Enhancements and On-Chart Displays:
Color-coded signals differentiate between bullish, bearish, hidden bullish, and hidden bearish divergence setups.
On-chart labels, lines, and gradient flow visualizations clearly mark divergence signals, entry points, and exit levels.
Configurable settings let you choose whether to display divergence signals on the price chart or in a separate pane.
Performance Metrics Table:
A performance table dynamically displays important statistics like profit, win rate, profit factor, and number of trades.
This feature offers an at-a-glance assessment of how the divergence-based strategy is performing.
The image above shows Divergence IQ successfully identifying and trading a bullish divergence between an indicator and price action!
The image above shows Divergence IQ successfully identifying and trading a bearish divergence between an indicator and price action!
The image above shows Divergence IQ successfully identifying and trading a hidden bullish divergence between an indicator and price action!
The image above shows Divergence IQ successfully identifying and trading a hidden bearish divergence between an indicator and price action!
The performance table is designed to provide a clear summary of simulated trade results based on divergence setups. You can easily review key metrics to assess the strategy’s effectiveness over different time periods.
Customization and Adaptability
Divergence IQ offers a wide range of configurable settings to tailor the indicator to your personal trading approach. You can adjust the lookback and lookahead periods for pivot detection, select your preferred method for normalization, and modify trade exit parameters to manage risk according to your strategy. The tool’s clear visual elements and comprehensive performance metrics make it a useful addition to your technical analysis toolbox.
The image above shows Divergence IQ identifying divergences between price action and OBV with no normalization technique applied.
While traders can look for divergences between OBV and price, OBV doesn't naturally behave like an oscillator, with no definable upper and lower threshold, OBV can infinitely increase or decrease.
With Divergence IQ's ability to normalize any indicator, traders can normalize non-oscillator technical indicators such as OBV, CVD, MACD, or even a moving average.
In the image above, the "Robust Scaling" normalization technique is selected. Consequently, the output of OBV has changed and is now behaving similar to an oscillator-like technical indicator. This makes spotting divergences between the indicator and price easier and more appropriate.
The three normalization techniques included will change the indicator's final output to be more compatible with divergence detection.
This feature can be used with almost any technical indicator.
Stop Type
Traders can select between ATR based profit targets and stop losses, or percentage based profit targets and stop losses.
The image above shows options for the feature.
Divergence Detection Method
A natural pitfall of divergence trading is that it generally takes several bars to "confirm" a divergence. This makes trading the divergence complicated, because the entry at time of the divergence might look great; however, the divergence wasn't actually signaled until several bars later.
To circumvent this issue, Divergence IQ offers two divergence detection mechanisms.
Pivot Detection
Pivot detection mode is the same as almost every divergence indicator on TradingView. The Pivots High Low indicator is used to detect market/indicator highs and lows and, consequently, divergences.
This method generally finds the "best looking" divergences, but will always take additional time to confirm the divergence.
Immediate Detection
Immediate detection mode attempts to reduce lag between the divergence and its confirmation to as little as possible while avoiding repainting.
Immediate detection mode still uses the Pivots Detection model to find the first high/low of a divergence. However, the most recent high/low does not utilize the Pivot Detection model, and instead immediately looks for a divergence between price and an indicator.
Immediate Detection Mode will always signal a divergence one bar after it's occurred, and traders can set alerts in this mode to be alerted as soon as the divergence occurs.
TradingView Backtester Integration
Divergence IQ is fully compatible with the TradingView backtester!
Divergence IQ isn’t designed to be a “profitable strategy” for users to trade. Instead, the intention of including the backtester is to let users backtest divergence-based trading strategies between the asset on their chart and almost any technical indicator, and to see if divergences have any predictive utility in that market.
So while the backtester is available in Divergence IQ, it’s for users to personally figure out if they should consider a divergence an actionable insight, and not a solicitation that Divergence IQ is a profitable trading strategy. Divergence IQ should be thought of as a Divergence backtesting toolkit, not a full-feature trading strategy.
Strategy Properties Used For Backtest
Initial Capital: $1000 - a realistic amount of starting capital that will resonate with many traders
Amount Per Trade: 5% of equity - a realistic amount of capital to invest relative to portfolio size
Commission: 0.02% - a conservative amount of commission to pay for trade that is standard in crypto trading, and very high for other markets.
Slippage: 1 tick - appropriate for liquid markets, but must be increased in markets with low activity.
Once more, the backtester is meant for traders to personally figure out if divergences are actionable trading signals on the market they wish to trade with the indicator they wish to use.
And that's all!
If you have any cool features you think can benefit Divergence IQ - please feel free to share them!
Thank you so much TradingView community!
Machine Learning + IchimokuIchimoku Cloud + Machine Learning Levels is an advanced indicator that merges a classic trend tool with machine-learned supply & demand zones. Combining the two can help traders identify trends and key price zones with greater confidence when both signals align!
How it Works
The Ichimoku Cloud component identifies the trend direction and momentum at a glance – it shows support/resistance areas via its cloud (Kumo) and signals potential trend changes when the Tenkan-sen and Kijun-sen lines cross. Meanwhile, the Machine Learning module analyzes historical price data to project potential support and resistance levels (displayed as horizontal lines) that the algorithm deems significant. By combining these, the script offers a two-layer confirmation: Ichimoku outlines the broader trend and equilibrium, while the ML levels pinpoint specific price levels where the price may react. For example, if price is above the Ichimoku Cloud (uptrend) and also near an ML-predicted support, the confluence of these signals strengthens the case for a bounce.
How to Use
Apply the indicator to a chart like any other TradingView script. It works on multiple asset classes (see supported list below). Once added:
Ichimoku Lines
Tenkan-sen (Blue): Short-term average reflecting recent highs/lows.
Kijun-sen (Red): Medium-term baseline for support/resistance.
Senkou Span A (Green) & Senkou Span B (Orange) form the “Cloud” (Kumo). Price above the Cloud often signals a bullish environment; price below it can signal a bearish environment.
Chikou Span (Purple): Plots current closing price shifted back, helping gauge momentum vs. past price.
ML-Predicted Support/Resistance Lines (Green/Red Horizontal Lines)
Green Horizontal Lines – Potential support zones.
Red Horizontal Lines – Potential resistance zones.
These dynamically adjust based on the specific asset and are updated as new historical data becomes available.
Password (for Advanced Features)
In the indicator’s Settings, there is an input field labeled “Password.” The password corresponds to the ticker(s) listed below.
Stocks
TSLA, NVDA, AAPL, AMZN, PLTR, AMD, META, MSFT, MSTR, GOOG, GME, COIN, NFLX, BABA, UBER, HOOD, NKE
Cryptocurrencies
ETH, BTC, SOL, BNB, XRP, ADA, DOT, DOGE, LTC, JUP, LINK, INJ, FET, SAND, HBAR, TRX, SHIB, UNI
(If you attach the indicator to any unlisted ticker, you will only see the Ichimoku Cloud.)
Why It’s Unique
This script is a fresh take on market analysis – it’s original in fusing Ichimoku’s visual trend mapping with machine learning. The Ichimoku framework provides time-proven trend insight, and the ML levels add forward-looking context specific to each asset. By uniting them, the indicator aims to filter out false signals and highlight high-probability zones. No repainting occurs: Ichimoku values are based on closed data, and ML levels are computed from historical patterns (they do not retroactively change).
Ichimoku Cloud + Machine Learning Levels offers an informative blend of old and new analysis techniques. It clearly shows where price is relative to trend (via Ichimoku) and where it might react in the future (via ML levels). Use it to gain a richer view of the market’s behavior. I hope this indicator provides valuable insights for your trading decisions. Happy trading!
MacroJP: US Macro Conditions & Forward GuidanceMacroJP is a comprehensive, free-to-use TradingView indicator designed to provide a clear snapshot of the US macroeconomic environment. It consolidates key economic metrics into a single, interactive dashboard, allowing traders and investors to quickly assess current conditions and adjust their portfolio biases accordingly.
How It Works:
• Data Aggregation:
The indicator pulls monthly data from reputable free economic sources—specifically, ISM Manufacturing PMI, US CPI YoY, US M2 Money Supply, and US Treasury yields (10-year and 2-year). This robust dataset forms the backbone of the analysis.
• Composite Calculations:
By calculating a Composite Inflation Indicator (the average of CPI YoY and the yield spread) and evaluating the year-over-year change in M2, MacroJP gauges both the inflationary pressures and liquidity trends in the economy. These composite metrics offer a nuanced view that goes beyond single-indicator analysis.
Regime Classification:
The core strength of MacroJP lies in its quadrant classification system. It categorises the macro environment into four distinct regimes based on the direction of economic growth (derived from PMI) and inflation (from the Composite Inflation Indicator):
• Expansion (Reflation): Indicative of a recovering economy with rising production and moderate inflation—ideal for a bullish equity bias.
• Stagflation Risk: A scenario of weak growth coupled with high inflation, where a defensive posture is recommended.
• Slowdown (Deflationary): Characterised by contracting economic activity and falling prices, suggesting a move towards cash or high-quality bonds.
• Disinflationary Boom: Reflects strong growth with stable or falling inflation—an optimal environment for equities with some bond diversification.
Forward Guidance:
To enhance its predictive capability, MacroJP incorporates leading indicators by shifting key data points. For instance, it uses a forward-shifted M2 YoY value and a one-month shifted CPI proxy to offer insights into near-term trends. This approach helps in anticipating changes, providing a sort of “forward guidance” that can inform strategic asset allocation.
User Education:
The indicator features an intuitive table with on-hover tooltips that explain each metric, its relevance, and recommended investment biases. This educational layer is designed to empower users to not only monitor the economic pulse but also to understand the ‘why’ behind each reading, making it a valuable tool for both novice and experienced investors.
MacroJP brings clarity to complex macroeconomic dynamics, allowing users to make more informed decisions in volatile markets. Its seamless integration of free public data and detailed on-chart annotations makes it an indispensable tool for anyone looking to understand the broader economic context impacting their investments.
— Jaroslav
