MMM @MaxMaserati 2.0MMM @MaxMaserati 2.0 - TradingView Indicator
The Backbone of the Max Maserati Method
The MMM @MaxMaserati 2.0 indicator is the core of the proprietary Max Maserati Method (MMM), a trading system designed to decode institutional price action. It integrates candle bias analysis, market structure identification, volume-based signals, and precise entry zones to align traders with smart money.
Core Components of the MMM System
1. Six Core Candle Classifications
Master these patterns to reveal institutional behavior:
Bullish Body Close: Closes above previous high, signaling strong buying.
Bearish Body Close: Closes below previous low, indicating intense selling.
Bullish Affinity: High tests previous low, closes within range, showing hidden bullish strength.
Bearish Affinity: Low tests previous high, closes within range, reflecting bearish pressure.
Seek & Destroy: Breaks both previous high/low, closes inside, direction depends on close.
Close Inside: High/low within previous range, bias based on close.
2. Plus/Minus Strength System
Quantifies candle conviction:
Bullish Strength: Low to close distance.
Bearish Strength: High to close distance.
Plus (+): Dominant strength signals strong follow-through.
Minus (-): Balanced strengths suggest caution.
3. PO4 Candles (Power of OHLC (4))
Analyzes OHLC for body-closed candles after swing high/low fractals:
C2: Body close above high/below low post fractal with strength conditions.
C3: Stronger body close with pronounced low/high breakouts.
C4: Body close which show strength and might trigger a BeB/BuB
Visualization: Green (bullish), purple (bearish) bars; triangle markers for fractals.
4. MC2 (High Volume Reversal Candles)
High buy/sell volume candles reversed by opposing volume:
Bullish MC2: Buy volume flipped by sell volume, signaling exhaustion.
Bearish MC2: Sell volume flipped by buy volume, indicating reversal.
Visualization: Dark green (bullish), dark red (bearish) bars.
5. MMM Blocks (eBlocks and iBlocks)
Marks institutional order blocks:
External Blocks (eBlocks): At market structure changes (MSC), labeled BuB/BeB.
Internal Blocks (iBlocks): Within trends, labeled L/S.
Volume: Normalized with indicators (🔥 high, ↑ above average, ↓ low).
Filters: Discount (0-50), premium (50-100), extreme (0-20, 80-100), mid-range (20-50, 50-80).
6. Entry Blocks - Specific Entry Areas
Entry Blocks are precise zones for framing trades based on the MMM system, triggered post-MSC to capitalize on institutional momentum:
Purpose: Pinpoint high-probability entry areas following a Market Structure Change (MSC), aligning with smart money direction.
Formation:
MMM Entry Block Long: Forms after a bullish MSC (BuB), typically at the swing low (e.g., lowerValueMSC) of the fractal pattern, marking a long entry zone.
MMM Entry Block Short: Forms after a bearish MSC (BeB), typically at the swing high (e.g., upperValueMSC), marking a short entry zone.
Styles :
Close-to-Swing High/Low: Box drawn from the candle’s close to the swing high/low level, emphasizing the fractal pivot.
High/Low-to-Close: Box drawn from the candle’s high/low to its close, capturing the full price action range.
Visualization:
Labeled “MMM Entry Block Long” (cyan background/border) or “Short” (pink background/border).
Includes a dashed midline for reference.
Volume displayed if enabled, normalized with markers (🔥 >150%, ⚡ >120%, ❄️ <70%).
Behavior:
Deletes when price touches the level (On Level Touch) or closes beyond it (On Candle Close)
Limited to a configurable number ( default 5) to avoid clutter.
Trade Framing:
Entry: Enter within the eBreak box, ideally on a pullback or confirmation candle aligning with MMM bias (e.g., Bullish Body Close or Affinity).
Stop-Loss: Placed below the eBreak low (bullish) or above the high (bearish), leveraging the swing level as support/resistance.
Take-Profit: Targets higher timeframe high (bullish) or low (bearish), with ratio (default 2.0) for risk-reward.
MMM Integration: Use candle bias (Plus/Minus), PO4 signals, and MMPD consensus to confirm entry direction and strength.
Significance: eBreaks frame trades by isolating institutional entry points post-MSC, reducing noise and enhancing precision.
7. Market Structure Change (MSC)
Tracks structure shifts:
Detection: Fractal highs/lows with adjustable candle count.
Visualization: Green (BuB), red (BeB) lines/labels; numbered breaks (Bub1/Beb1).
Counter: Tracks consecutive MSCs for trend strength.
8. MMPD (Market Momentum Price Delivery)
Analyzes momentum/trend:
Conditions: Red (bearish), Green (bullish), Pink (modifying bearish), Pale Green (modifying bullish).
Traps: Flags bullish/bearish traps when MMPD conflicts with body close.
Metrics: SuperMaxTrend, momentum (K/D), MMPD level.
Consensus: Rated signals (e.g., “Very Strong Buy ★★★★★”).
9. Trade and Risk Management
Disciplined trading:
Entry Visualization: Entry, stop-loss, take-profit lines/labels with customizable risk (riskAmount, default $50) and reward (ratio).
Behavior: Shows last/all entries, removes on MSC shift or breach.
Text Size: Tiny, Small, Normal.
NB: The Trade and risk management is to use with caution, it is not fully implemented yet.
10. Stats Table
Real-time dashboard:
Elements: Timeframe, symbol, candle bias, strength, MMPD, momentum, SuperMaxTrend, MMPD level, volume, consensus, divergence, delta MA, price delivery, note (“Analyze | Wait | Repeat”).
Customization: Position, size, element visibility.
Colors: Green (bullish), red (bearish), orange (warnings), gray (neutral).
11. Delta MA and Divergence
Monitors volume delta:
Delta MA: Smoothed delta with direction arrows (↗↘→).
Divergence: Flags MMPD-momentum divergences (⚠️).
Key Features
Automated Analysis: Detects PO4, MSC, blocks, MC2, Entry Block via OHLC.
Color-Coded Visualization: Bars, lines, table cells reflect bias/strength.
Dynamic Bias Lines: Higher timeframe high/low lines with labels.
Volume Analysis: Normalized volume across blocks, entries, MC2.
Flexible Filters: Tailors block/entry Block display to strategies.
Real-Time Metrics: Tracks strength, delta, trend points.
Trading Advantages
Institutional Insight: Decodes manipulation via OHLC and volume.
Early Reversals: Spots shifts via PO4, MC2, MSC, Entry Blocks.
Precise Entries: entry block frame high-probability trades.
Robust Risk Management: Stop-loss, take-profit, risk-reward.
Simplified Complexity: Actionable signals from complex action.
Profit Target Framework
Bullish: Higher timeframe high.
Bearish: Higher timeframe low.
Plus Strength: Direct move.
Minus Strength: Pullbacks expected.
Entry Blocks/MSC-Driven: Entry anchor entries to MSC targets.
Trader’s Mantra
“Analyze | Wait | Repeat” - Discipline drives profits.
The MMM @MaxMaserati 2.0 indicator, with Entry Blocks as specific trade-framing zones, offers a professional-grade framework for precise, institutional-aligned trading.
Note: Based on the proprietary Max Maserati Method for educational and analytical use.
Educational
IU Three Line Strike Candlestick PatternIU Three Line Strike Candlestick Pattern
This indicator identifies the Three Line Strike candlestick pattern — a rare yet powerful 4-bar reversal setup that captures exhaustion and momentum shifts at the end of strong trends.
Pattern Logic:
The Three Line Strike is a 4-candle pattern that typically signals a sharp reversal after a sustained directional move. This script detects both bullish and bearish variations using strict criteria to ensure accuracy.
Bullish Three Line Strike:
* Previous three candles must be bearish (red)
* Each of these candles must close progressively lower (indicating a strong downtrend)
* The current candle must:
* Be bullish (green)
* Open below the prior close
* Completely engulf the previous three candles by closing above the first candle's open
* And make a higher high than the last 3 bars — confirming a strong reversal
* Once confirmed, a green shaded box is drawn around the 4-bar zone to highlight the pattern
Bearish Three Line Strike:
* Previous three candles must be bullish (green)
* Each must close progressively higher (indicating a strong uptrend)
* The current candle must:
* Be bearish (red)
* Open above the prior close
* Completely engulf the prior three candles by closing below the first candle's open
* And make a lower low than the last 3 bars — confirming downside strength
* A red shaded box is plotted around the 4-bar formation to emphasize the reversal zone
Why this is unique:
Most candlestick tools focus on 1–2 bar patterns. The Three Line Strike goes a step further by combining trend exhaustion (3 same-colored candles) with a full reversal engulfing candle. This pattern is both rare and highly expressive of sentiment shift, making it a standout signal for discretionary and algorithmic traders alike.
How users can benefit:
* High-probability setups: Filters out weak signals using multi-bar confirmation logic
* Clear visual cues: Dynamic shaded boxes and labels make spotting reversals effortless
* Cross-timeframe compatible: Works on intraday and higher timeframes across all markets
* Real-time alerts: Get notified instantly when a bullish or bearish setup forms
This indicator is a valuable addition for traders who want to capture key reversals backed by strong multi-bar price action logic. Whether you are a price action purist or a pattern-based strategist, the IU Three Line Strike gives you a reliable edge.
Disclaimer:
This script is for educational purposes only and does not constitute financial advice. Trading involves risk, and past performance is not indicative of future results. Always do your own research and consult with a licensed financial advisor before making trading decisions.
ETH Z-Pulse | QuantumResearchETH Z-Pulse | QuantumResearch
📉 Ethereum On-Chain Z-Score Composite for Trend Detection
ETH Z-Pulse is a custom on-chain valuation indicator developed by QuantumResearch, designed to identify key trend shifts in Ethereum based on three powerful on-chain metrics: NUPL, SOPR, and MVRV. It computes a composite Z-Score signal to detect statistically significant bullish or bearish phases in the market.
🔍 Core Components:
📈 NUPL Z-Score — Measures Unrealized Profit/Loss using Glassnode’s Market Cap vs. Realized Cap
📊 SOPR Z-Score — Spent Output Profit Ratio smoothed with an EMA filter
📉 MVRV Z-Score — Market Value to Realized Value comparison for Ethereum
The result is a single composite oscillator (On_chainz) that dynamically signals trend strength and valuation extremes.
⚙️ Signal Logic:
Bullish (Long Bias): When the composite Z-Score > +0.83
Bearish (Short Bias): When the Z-Score < -0.58
Neutral Zone: Values between thresholds (continuous signal)
Color-coded plots and chart bars visually highlight trend shifts and help distinguish accumulation vs. distribution phases.
🧠 Use Case:
Ideal for:
Long-term investors looking to assess ETH valuation cycles
Swing traders seeking macro trend confirmation
Analysts comparing on-chain signals with technical setups
📌 Technical Notes:
Requires on-chain data feeds from Glassnode and CoinMetrics
Designed specifically for Ethereum (ETH) on daily timeframe
Customizable Z-Score lengths for fine-tuning
Non-overlay indicator
⚠️ Disclaimer:
This tool is for educational and research purposes only.
Past performance is not indicative of future results.
On-chain metrics are probabilistic, not predictive. Always combine with other forms of analysis and risk management.
Not financial advice.
Power Block Consolidation with Volume @MaxMaserati 2.0Power Block Consolidation with Volume @MaxMaserati 2.0
Overview
Price action hinges on consolidation, the foundation of market moves. The "Power Block Consolidation with Volume @MaxMaserati 2.0" (MMPB) indicator uses a proprietary, ingenious system to identify high-probability consolidation zones—termed "power blocks"—where smart money drives accumulation or distribution. By leveraging a unique limitorphe closing candle system, to plots volume to signal price direction: significant volume at the high price indicates bullish continuation, while volume at the low price suggests bearish momentum. This tool empowers traders to exploit bullish and bearish trends with precision.
Key Features
Consolidation Detection: Pinpoints power blocks using a secret system, marking zones of smart money activity.
Volume Analysis: A proprietary limitrophe closing candle system splits volume into buying (high price) and selling (low price), revealing accumulation (buying pressure) or distribution (selling pressure).
Trend Visualization:
Bullish Trends: Green boxes and lines highlight consolidation zones with high volume at the high price, signaling upward continuation.
Bearish Trends: Red boxes and lines mark zones with high volume at the low price, indicating downward momentum.
NB: The volume matter more than the color of the box.
Example
High volume up at the box vs low volume at the low we expect an up move
Even we had a bearish Body close below the box price reconfirmed the up move
Price make the bullish upside move
Price retest the box and reject it strongly
Breakout and Retest: Captures breakouts from power blocks, with price often retesting the zone before resuming the trend.
Volume Labels: Displays buying (green) and selling (red) volume on lines for clear pressure analysis.
Breakout Alerts: Triggers alerts for bullish ("BuBC") and bearish ("BeBC") breakouts, with optional visual markers (triangles).
Strategy
MMPB is designed to capture smart money behavior in consolidation zones, where markets prepare for significant moves. Key principles:
Volume-Driven Direction: High volume at the high price within a power block signals strong bullish continuation; high volume at the low price indicates bearish potential.
Accumulation/Distribution: Buying volume reflects accumulation, priming bullish trends; selling volume signals distribution, fueling bearish trends.
Breakout and Retest: Price often breaks out from power blocks and retests the zone, offering low-risk entry points.
Consolidation as Precursor: Markets require consolidation to build momentum, making power blocks critical for trend prediction.
Traders can:
Enter on breakouts with strong volume confirmation.
Target retests of power blocks for high-probability setups.
Use volume labels to assess trend strength.
Use Cases
Trend Trading: Ride bullish or bearish trends post-breakout from high-volume power blocks.
Swing Trading: Use power blocks as dynamic support/resistance for entries and exits.
Smart Money Analysis: Identify accumulation (bullish) or distribution (bearish) zones.
Risk Management: Place stops at power block edges during retests.
Conclusion
The MMPB indicator, powered by a proprietary system, transforms consolidation analysis by identifying power blocks where smart money operates. Its limitrophe closing candle system highlights volume-driven trends, enabling traders to capitalize on bullish and bearish moves with confidence. Ideal for trend and swing traders, MMPB shines in markets where consolidation precedes significant trends, offering clear signals for breakouts and retests.
Improved ICT Order Block StrategyThis code is characterized by:
Combining multiple ICT techniques into a single tool to save chart space and enable users to test multiple models.
Drawing important price zones such as Breaker Blocks, Rejection Blocks, Order Blocks, Fair Value Gaps (FVG), and Equal Levels.
Providing clear entry and exit signals based on ICT rules with improved risk management.
Allowing customization of settings like timeframe selection, entry ratios, and profit/loss targets.
Supporting alerts to facilitate monitoring trading opportunities.
In short, it is a comprehensive advanced tool that helps traders practically and effectively apply the ICT methodology, with the ability to test performance and optimize the strategy before live trading.
NIFTY Option Chain Table with Custom CE/PE Price FiltersThis Pine Script creates a powerful and visually organized option chain dashboard for NIFTY Index Options, showing 10 Call Options (CE) and 10 Put Options (PE), with real-time prices updated on a 5-minute chart.
You can filter and view only the most relevant option contracts based on your preferred price ranges, helping you make quick decisions for scalping, intraday, or positional trades.
🔍 How It Works:
You manually select up to 10 Call Option symbols and 10 Put Option symbols from NSE (e.g., NIFTY240530C18000, NIFTY240530P18000, etc.).
Keep that time options this are old options in defalt so there will be a error
The script fetches the real-time close price of each option using the request.security() function.
You define the minimum and maximum price range separately for Calls and Puts.
The script filters out any options that fall outside of your desired price range.
Only a limited number of matching options (as set by you) are displayed in the table for both Calls and Puts.
The table is shown at your preferred location on the chart (Bottom Right, Top Left, etc.).
✅ Features:
🔟 Supports exactly 10 CE and 10 PE options for tracking.
📈 Live price updates pulled directly from the chart timeframe (5-min).
🎯 Custom price filters for CE and PE (separate inputs).
📊 Show only the top X number of contracts that meet your filter criteria.
🧱 Vertical layout with clear headers and color-coded sections (green for Calls, red for Puts).
🎛️ Position the table wherever it's most convenient on your chart.
⚡ Helps you quickly spot low premium or range-bound options during the day.
📌 Use Case:
Ideal for:
Option scalpers and day traders who want to focus only on options within a specific price zone.
Traders who want to monitor multiple strikes simultaneously without clutter.
Users building custom NIFTY strategies based on option premiums.
Strike Price selection by GoldenJetThis script is designed to assist options traders in selecting appropriate strike prices based on the latest prices of two financial instruments. It retrieves the latest prices, rounds them to the nearest significant value, and calculates potential strike prices for both call and put options. The results are displayed in a customizable table, allowing traders to quickly see the relevant strike prices for their trading decisions.
The strike prices shown are In-The-Money (ITM), which helps options traders in several ways:
Saving from Theta Decay: On expiry day, ITM options experience less time decay (Theta), which can help preserve the option's value.
Capturing Good Points: ITM options have a higher Delta, meaning they move more in line with the underlying asset's price. This can help traders capture a good amount of points as the underlying asset's price changes.
In essence, this tool simplifies the process of determining strike prices, making it easier for traders to make informed decisions and potentially improve their trading outcomes.
Alpha1Alpha1 is a streamlined trend analysis tool designed to offer visual clarity for directional bias in various market conditions. This script combines adaptive price tracking with dynamic smoothing logic to help traders stay aligned with the prevailing trend.
It is optimized for both short-term and mid-term chart analysis and integrates seamlessly with a wide range of trading strategies. It best works on 15 minute time frame.
This is an invite-only tool intended for private research and use. For educational purposes only — not financial advice.
UNITED TRADING COMMUNITY WaterMarkWATER MARK indicator. Will allow you to improve the order of the entries you need on the chart.
1. Name and date for the traded instrument
2. Watermarks to protect your charts (in the center and around the perimeter of the chart)
3. The new "notes" option will allow you to keep focus on the factors that are important to you on the chart.
Very flexible settings for any notes, labels, watermarks on the chart that are important to you.
Индикатор WATER MARK . Даст возможность вам улучшить порядок нужных вам записей на графике.
1. Название и дата для торгуемого инструмента
2. Водные знаки для защиты ваших графиков ( в центре и по периметру графика)
3. Новая опция "заметки" позволит вам держать фокус на важных для вас факторах на графике.
Очень гибкая настройка , любых значимых для вас заметок , лейблов , вотермарк на графике.
Daily Close Horizontal LineDCHL by ELF
This script is useful for tracking important daily closing levels, which often act as support or resistance in technical analysis.
Futures Scalping Signal by AK_Trades – RISK PROTECTED MODEFutures Scalping Signal by AK_Trades – RISK PROTECTED MODE
This precision-built scalping indicator is designed for futures traders who demand clarity, speed, and protection.
✅ Smart Signal Logic:
Based on UT Bot ATR trailing stop logic
Requires minimum price movement for confirmation
Prevents repeated signals in the same direction using trend memory
✅ Visuals That Guide You, Not Distract:
Clear Buy/Sell signals labeled on the chart
Dynamic support or resistance line always visible
Price-tagged signal entries (Buy @, Sell @)
✅ Candlestick Awareness:
Highlights key patterns: Engulfing, Doji, Hammer, Shooting Star
Patterns are visual only — no interference with signal flow
✅ Trend Label:
Clean top-right corner label updates periodically to guide sentiment
⚠️ Disclaimer:
This tool is for educational purposes only. No financial advice is provided. Use at your own risk.
Built by @AK_Trades to help scalpers trade smarter, not harder.
Bar ColorHis BTCUSDT Script to easy way in trade from next moving Guys due to the past levels spot and resistance and also where did price will break and push to upside,
key levels to watch
Take long hold in blue zone see our goal in long time with prefect entries
Like Pivot point
Resistance zone
Support levels
Breakout Points
Keep eye on these levels you may find details more in script
ZMVZMV-STRATEGY
Z – Zero-Based Thinking
At the core of the ZMV-STRATEGY lies zero-based thinking: the practice of assessing actions, projects, or goals as if starting from scratch. This principle encourages:
Eliminating outdated assumptions
Prioritizing current relevance over historical momentum
Making decisions based on present and future potential, not sunk costs
M – Momentum Mapping
Momentum is essential for sustained progress. The "M" emphasizes:
Identifying key areas where traction exists
Mapping energy flows within a team, project, or market
Leveraging small wins to catalyze exponential growth
V – Value Alignment
Finally, the “V” represents value alignment, which ensures that:
Every move aligns with core values and purpose
Stakeholders are engaged through shared vision
Ethical, meaningful impact is prioritized alongside metrics
US30 Trend Screener (TechnoBlooms)Identify Index Trends Before the Move Starts.
The US30 Trend Screener is a powerful tool designed to help traders understand the internal dynamics of the Dow Jones Industrial Average (US30) by analyzing the trends of its weighted component stocks in real time.
📊 How It Works
This indicator uses EMA crossovers, RSI, and MACD signals from the 30 Dow Jones stocks and visualizes them in a compact, color-coded dashboard overlay on your chart.
You can choose your preferred lower timeframe (e.g., 1min, 5min, 15min) to analyze intraday momentum before the US30 index reflects the shift.
⏱ Timeframe Input
Select any minute-based timeframe (1–240 min) to suit your trading strategy.
Each stock’s trend data is fetched using your selected timeframe, so you can zoom in or out on price action dynamics.
It is recommended to select the timeframe closer to the chart timeframe in the indicator.
🚀 Key Features
✅ Component-Based Analysis: Tracks all 30 Dow stocks like MSFT, AAPL, GS, etc., with real-time price and indicator updates.
✅ Trend Detection: Uses EMA (8/34) crossover to determine bullish or bearish trends per stock.
✅ Momentum Signals: Shows RSI (14) values and MACD direction (▲ / ▼) for each stock.
✅ Color-Coded Dashboard:
🟩 Green = Bullish trend
🟥 Red = Bearish trend
✅ Compact Display: See 30 stocks in a 3-column grid format, updated every few bars for performance.
🧠 Pro Tips
🔍 Use shorter timeframes (1–5 min) to detect early trend shifts—perfect for scalping and intraday entries.
💼 Watch high-weight stocks like GS, MSFT, UNH. A shift in their trend often precedes index movement.
🎯 Combine with price action or SMC tools to confirm institutional moves and breakouts.
🚦 If most of the dashboard turns green/red at once, it often signals a strong momentum breakout or reversal.
💡 Ideal For:
Index traders (US30/DJI futures or CFDs)
Scalpers & day traders
Momentum and trend-following strategies
Traders who want to see the story behind the index move
Correlation Drift📈 Correlation Drift
The Correlation Drift indicator is designed to detect shifts in market momentum by analyzing the relationship between correlation and price lag. It combines the principles of correlation analysis and lag factor measurement to provide a unique perspective on trend alignment and momentum shifts.
🔍 Core Concept:
The indicator calculates the Correlation vs PLF Ratio, which measures the alignment between an asset’s price movement and a chosen benchmark (e.g., BTCUSD). This ratio reflects how well the asset’s momentum matches the market trend while accounting for price lag.
📊 How It Works:
Correlation Calculation:
The script calculates the correlation between the asset and the selected benchmark over a specified period.
A higher correlation indicates that the asset’s price movements are in sync with the benchmark.
Price Lag Factor (PLF) Calculation:
The PLF measures the difference between long-term and short-term price momentum, dynamically scaled by recent volatility.
It highlights potential overextensions or lags in the asset’s price movements.
Combining Correlation and PLF:
The Correlation vs PLF Ratio combines these metrics to detect momentum shifts relative to the trend.
The result is a dynamic, smoothed histogram that visualizes whether the asset is leading or lagging behind the trend.
💡 How to Interpret:
Positive Values (Green/Aqua Bars):
Indicates bullish alignment with the trend.
Aqua: Rising bullish momentum, suggesting continuation.
Teal: Decreasing bullish momentum, signaling caution.
Negative Values (Purple/Fuchsia Bars):
Indicates bearish divergence from the trend.
Fuchsia: Falling bearish momentum, indicating increasing pressure.
Purple: Rising bearish momentum, suggesting potential reversal.
Clipping for Readability:
Values are clipped between -3 and +3 to prevent outliers from compressing the histogram.
This ensures clear visualization of typical momentum shifts while still marking extreme cases.
🚀 Best Practices:
Use Correlation Drift as a confirmation tool in conjunction with trend indicators (e.g., moving averages) to identify momentum alignment or divergence.
Look for transitions from positive to negative (or vice versa) as signals of potential trend shifts.
Combine with volume analysis to strengthen confidence in breakout or breakdown signals.
⚠️ Key Features:
Customizable Settings: Adjust the correlation length, PLF length, and smoothing factor to fine-tune the indicator for different market conditions.
Visual Gradient: The histogram changes color based on the strength and direction of the ratio, making it easy to identify shifts at a glance.
Zero Line Reference: Clearly distinguishes between bullish and bearish momentum zones.
🔧 Recommended Settings:
Correlation Length: 14 (for short to medium-term analysis)
PLF Length: 50 (to smooth out noise while capturing trend shifts)
Smoothing Factor: 3 (for enhanced clarity without excessive lag)
Benchmark Symbol: BTCUSD (or another relevant market indicator)
By providing a quantitative measure of trend alignment while accounting for price lag, the Correlation Drift indicator helps traders make more informed decisions during periods of momentum change. Whether you are trading crypto, forex, or equities, this tool can be a powerful addition to your momentum-based trading strategies.
⚠️ Disclaimer:
The Correlation Drift indicator is a technical analysis tool designed to aid in identifying potential shifts in market momentum and trend alignment. It is intended for informational and educational purposes only and should not be considered as financial advice or a recommendation to buy, sell, or hold any financial instrument.
Trading financial instruments, including cryptocurrencies, involves significant risk and may result in the loss of your capital. Past performance is not indicative of future results. Always conduct thorough research and seek advice from a certified financial professional before making any trading decisions.
The developer (RWCS_LTD) is not responsible for any trading losses or adverse outcomes resulting from the use of this indicator. Users are encouraged to test and validate the indicator in a simulated environment before applying it to live trading. Use at your own risk.
KingJakesFx CRTThis TradingView indicator is a comprehensive tool that identifies and marks significant high and low points of Candle Range Type (CRT) candles. Its standout feature is the ability to visualize these key levels across multiple timeframes, allowing traders to maintain awareness of important price zones even when analyzing shorter timeframes.
The indicator extends high and low lines into the future, creating dynamic support and resistance levels that help anticipate potential price reactions. With extensive customization options, users can tailor the visual appearance of lines, labels, and alerts to match their trading setup and preferences.
Perfect for traders who analyze multiple timeframes and want to maintain awareness of significant price levels, this indicator combines powerful technical analysis with flexible visual customization to enhance any trading strategy.
Goldman Sachs Risk Appetite ProxyRisk appetite indicators serve as barometers of market psychology, measuring investors' collective willingness to engage in risk-taking behavior. According to Mosley & Singer (2008), "cross-asset risk sentiment indicators provide valuable leading signals for market direction by capturing the underlying psychological state of market participants before it fully manifests in price action."
The GSRAI methodology aligns with modern portfolio theory, which emphasizes the importance of cross-asset correlations during different market regimes. As noted by Ang & Bekaert (2002), "asset correlations tend to increase during market stress, exhibiting asymmetric patterns that can be captured through multi-asset sentiment indicators."
Implementation Methodology
Component Selection
Our implementation follows the core framework outlined by Goldman Sachs research, focusing on four key components:
Credit Spreads (High Yield Credit Spread)
As noted by Duca et al. (2016), "credit spreads provide a market-based assessment of default risk and function as an effective barometer of economic uncertainty." Higher spreads generally indicate deteriorating risk appetite.
Volatility Measures (VIX)
Baker & Wurgler (2006) established that "implied volatility serves as a direct measure of market fear and uncertainty." The VIX, often called the "fear gauge," maintains an inverse relationship with risk appetite.
Equity/Bond Performance Ratio (SPY/IEF)
According to Connolly et al. (2005), "the relative performance of stocks versus bonds offers significant insight into market participants' risk preferences and flight-to-safety behavior."
Commodity Ratio (Oil/Gold)
Baur & McDermott (2010) demonstrated that "gold often functions as a safe haven during market turbulence, while oil typically performs better during risk-on environments, making their ratio an effective risk sentiment indicator."
Standardization Process
Each component undergoes z-score normalization to enable cross-asset comparisons, following the statistical approach advocated by Burdekin & Siklos (2012). The z-score transformation standardizes each variable by subtracting its mean and dividing by its standard deviation: Z = (X - μ) / σ
This approach allows for meaningful aggregation of different market signals regardless of their native scales or volatility characteristics.
Signal Integration
The four standardized components are equally weighted and combined to form a composite score. This democratic weighting approach is supported by Rapach et al. (2010), who found that "simple averaging often outperforms more complex weighting schemes in financial applications due to estimation error in the optimization process."
The final index is scaled to a 0-100 range, with:
Values above 70 indicating "Risk-On" market conditions
Values below 30 indicating "Risk-Off" market conditions
Values between 30-70 representing neutral risk sentiment
Limitations and Differences from Original Implementation
Proprietary Components
The original Goldman Sachs indicator incorporates additional proprietary elements not publicly disclosed. As Goldman Sachs Global Investment Research (2019) notes, "our comprehensive risk appetite framework incorporates proprietary positioning data and internal liquidity metrics that enhance predictive capability."
Technical Limitations
Pine Script v6 imposes certain constraints that prevent full replication:
Structural Limitations: Functions like plot, hline, and bgcolor must be defined in the global scope rather than conditionally, requiring workarounds for dynamic visualization.
Statistical Processing: Advanced statistical methods used in the original model, such as Kalman filtering or regime-switching models described by Ang & Timmermann (2012), cannot be fully implemented within Pine Script's constraints.
Data Availability: As noted by Kilian & Park (2009), "the quality and frequency of market data significantly impacts the effectiveness of sentiment indicators." Our implementation relies on publicly available data sources that may differ from Goldman Sachs' institutional data feeds.
Empirical Performance
While a formal backtest comparison with the original GSRAI is beyond the scope of this implementation, research by Froot & Ramadorai (2005) suggests that "publicly accessible proxies of proprietary sentiment indicators can capture a significant portion of their predictive power, particularly during major market turning points."
References
Ang, A., & Bekaert, G. (2002). "International Asset Allocation with Regime Shifts." Review of Financial Studies, 15(4), 1137-1187.
Ang, A., & Timmermann, A. (2012). "Regime Changes and Financial Markets." Annual Review of Financial Economics, 4(1), 313-337.
Baker, M., & Wurgler, J. (2006). "Investor Sentiment and the Cross-Section of Stock Returns." Journal of Finance, 61(4), 1645-1680.
Baur, D. G., & McDermott, T. K. (2010). "Is Gold a Safe Haven? International Evidence." Journal of Banking & Finance, 34(8), 1886-1898.
Burdekin, R. C., & Siklos, P. L. (2012). "Enter the Dragon: Interactions between Chinese, US and Asia-Pacific Equity Markets, 1995-2010." Pacific-Basin Finance Journal, 20(3), 521-541.
Connolly, R., Stivers, C., & Sun, L. (2005). "Stock Market Uncertainty and the Stock-Bond Return Relation." Journal of Financial and Quantitative Analysis, 40(1), 161-194.
Duca, M. L., Nicoletti, G., & Martinez, A. V. (2016). "Global Corporate Bond Issuance: What Role for US Quantitative Easing?" Journal of International Money and Finance, 60, 114-150.
Froot, K. A., & Ramadorai, T. (2005). "Currency Returns, Intrinsic Value, and Institutional-Investor Flows." Journal of Finance, 60(3), 1535-1566.
Goldman Sachs Global Investment Research (2019). "Risk Appetite Framework: A Practitioner's Guide."
Kilian, L., & Park, C. (2009). "The Impact of Oil Price Shocks on the U.S. Stock Market." International Economic Review, 50(4), 1267-1287.
Mosley, L., & Singer, D. A. (2008). "Taking Stock Seriously: Equity Market Performance, Government Policy, and Financial Globalization." International Studies Quarterly, 52(2), 405-425.
Oppenheimer, P. (2007). "A Framework for Financial Market Risk Appetite." Goldman Sachs Global Economics Paper.
Rapach, D. E., Strauss, J. K., & Zhou, G. (2010). "Out-of-Sample Equity Premium Prediction: Combination Forecasts and Links to the Real Economy." Review of Financial Studies, 23(2), 821-862.
DAILY CANDLE PROFIT TARGET BIAS @MaxMaserati
Max Maserati Method for Candle Bias and effective price action Analysis
The MMM CANDLE BIAS 2.0 indicator, built on the proprietary Max Maserati Method, classifies candles to deliver clear, real-time market bias insights. It decodes price action, revealing institutional trading patterns often missed by retail traders.
The Six Core Candle Classifications: The Foundation of MMM Analysis
Master these six closing patterns, and you'll unlock the true language of price action. These are the building blocks of institutional trading behavior:
Bullish Body Close
Identification: Candle closes above the previous candle’s high.
Psychology: Strong buying pressure overcomes prior resistance.
Implication: Signals bullish trend continuation or reversal.
Bearish Body Close
Identification: Candle closes below the previous candle’s low.
Psychology: Intense selling pressure breaks past support.
Implication: Indicates bearish trend continuation or reversal.
Bullish Affinity
Identification: High tests or breaches previous low, but close stays within previous candle’s range.
Psychology: Buyers defend lower levels, rejecting downside.
Implication: Hidden bullish strength in consolidation.
Bearish Affinity
Identification: Low tests or breaches previous high, but close remains within previous candle’s range.
Psychology: Sellers cap upside attempts, gaining control.
Implication: Subtle bearish pressure despite failed breakout.
Seek & Destroy
Identification: Candle breaks both previous high and low, closing inside previous range.
Psychology: Institutions test liquidity on both sides before committing.
Implication: Direction depends on close—upper half (bullish affinity) or lower half (bearish affinity).
Close Inside
Identification: High and low stay within previous candle’s range.
Psychology: Consolidation with underlying directional bias.
Implication: Bias determined by close position relative to range.
Plus/Minus Strength System
Bullish Strength: Measures distance from low to close (buying pressure).
Bearish Strength: Measures distance from high to close (selling pressure).
Plus (+): Dominant strength significantly outweighs the other, indicating strong directional conviction.
Minus (-): Balanced strengths suggest a contested market, requiring caution.
Key Features
Automated Pattern Recognition: Instantly detects candle formations.
Color-Coded Bars: Green for bullish, red for bearish bias.
Dynamic Profit Targets: Projects targets based on higher timeframe high/low.
Real-Time Metrics: Displays bullish/bearish strength percentages and volume delta.
Customizable Table: Shows timeframe, symbol, bias, volume, and special note (“Analyze | Wait | Repeat”).
Bias Lines: Plots high/low lines on higher timeframe, with optional extension.
Labels: Customizable bias and profit target labels (Tiny, Small, Normal sizes).
Trading Advantages
Reveals institutional moves before retail traders react.
Detects reversals ahead of conventional indicators.
Enables precise entry timing with smart money.
Enhances risk management with clear strength signals.
Simplifies complex price action into actionable insights.
Profit Target Framework
Bullish Patterns: Target higher timeframe high.
Bearish Patterns: Target higher timeframe low.
Plus Strength: Expects direct move to target.
Minus Strength: Anticipates measured advance with potential pullbacks and/or violations.
Visual Implementation
Lines and Labels: High/low bias lines and profit target markers adapt to timeframe.
Table Display: Configurable position (top/middle/bottom, left/center/right) with key metrics.
Bar Coloring: Optional coloring based on bias or plus/minus strength.
Trader’s Mantra
"Analyze | Wait | Repeat" - Discipline turns market reading into consistent profits.
Elevate your trading with MMM CANDLE BIAS 2.0, where professional-grade analysis meets intuitive design.
Note: Based on the proprietary Max Maserati Method for educational and analytical use.
Intraday Fibs RetracementFibonacci (Fibs) levels are often used by traders as a way to find support and resistance, based on the Fibonacci sequence. These levels are widely used in technical analysis to identify potential reversal points in the price of an asset.
Fibs retracement draws lines at these Fibs level between a significant high and low point on a price chart.
What it shows:
This indicator will automatically draw Fibs Retracement Levels on your chart without any manual work.
It is designed to be used for day trading, especially in scenarios where a ticker gaps up/down large compared to the prior day close. (i.e. scenario where the difference of day's open and prior day close is large)
The drawing will happen on each trading day the moment trading hours open, and will NOT draw during pre-market and post-market.
User can see the line of each Fibs level, labelled with the Fib percentage and price value for the corresponding levels.
User will specify a start and end point of Fibs and based on the choice the indicator will automatically compute the other user defined Fibs levels and display on the chart.
How to use it:
The Fib levels drawn can be a potential support and resistance zone. Therefore in scenario where you already have a position and are approaching one of these levels it could be a point to close out some or all the position as you are approaching a resistance. On the other hand when price do approach these levels you could enter a position for a reversal trade. These are few ways to use the indicator but there are other ways that can be used, which can be found out by researching "Fibonacci (Fibs) Retracement".
In the example on the chart you can see a price bounce from the 0.7886 Fibs level on this particular day, where the price gapped up and was coming down after market hours opened.
Key settings:
1. Fibs Retracement Start and end Point: User selects where the Fibs levels should be drawn.
Available Options are:
Start Points:
Market Open
Market Open High (Dependent on the time frame you are on)
Pre-market High
Day's High
End Points:
Previous Day Close
Previous Day Low
Previous Day High
Pre-market Low (Current Day)
Day's Low
2. Custom Fib Levels: User can manually enter the Fib levels they want to see. (Max 9)
Default values are: 0,0.236,0.382,0.5,0.618,0.786,1,1.618,2.618.
3. Display settings: User can specify the line colour, thickness and style.
4. Label Setting: User can choose to turn on/off the labels for the each Fibs Level. Label will show the fib percentage and the corresponding price. User can also choose the location of the labels, defined by an offset from the current candle.
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If anything is not clear please let me know!
Risk Calculator Manual Only### Indicator Name: Risk Calculator Manual Only
Description:
This indicator is designed for manual risk and position size calculation. It helps traders manage risk per trade by clearly displaying key trade parameters on the chart in an easy-to-read table format. The indicator does not auto-calculate entry, stop, or target prices—all values must be entered manually, giving full control to the trader.
Key Features:
- Manual input only: Users manually enter the entry price, stop-loss, and take-profit levels.
- On-chart data table: Displays all calculated metrics in a compact, color-coded table:
- Trade Type: Long or Short, selectable in settings.
- Entry Price, Stop-Loss, Take-Profit: Entered by the user.
- Position Size ($): Automatically calculated based on your risk amount and stop-loss distance.
- Profit ($): Potential profit based on take-profit level.
- Loss ($): Potential loss based on stop-loss level.
- Color coding:
- Profit row is highlighted in green.
- Loss row is highlighted in red.
- Alerts: Optional alerts when price hits the stop-loss or take-profit levels.
How to Use:
1. Enter your planned entry price, stop-loss, and take-profit in the indicator settings.
2. Set your risk amount per trade (in USD).
3. The indicator will calculate the appropriate position size, potential profit, and loss, and display them in a visual table.
4. Enable alerts if you want to be notified when price reaches your stop-loss or take-profit.
Benefits:
- Helps enforce disciplined risk management.
- Visual feedback on key trade metrics, directly on the chart.
- Fast, manual trade planning with no automation—ideal for discretionary traders.
- Supports both long and short trade types.
Notes:
- This tool assumes accurate manual input. It does not auto-detect price levels.
- Best used by traders who prefer full control over their risk setup and calculations.
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Statistical Reliability Index (SRI)Statistical Reliability Index (SRI)
The Statistical Reliability Index (SRI) is a professional financial analysis tool designed to assess the statistical stability and reliability of market conditions. It combines advanced statistical methods to gauge whether current market trends are statistically consistent or prone to erratic behavior. This allows traders to make more informed decisions when navigating trending and choppy markets.
Key Concepts:
1. Extrapolation of Cumulative Distribution Functions (CDF)
What is CDF?
A Cumulative Distribution Function (CDF) is a statistical tool that models the probability of a random variable falling below a certain value.
How it’s used in SRI:
The SRI utilizes the 95th percentile CDF of recent returns to estimate the likelihood of extreme price movements. This helps identify when a market is experiencing statistically significant changes, crucial for forecasting potential breakouts or breakdowns.
Weight in SRI:
The weight of the CDF extrapolation can be adjusted to emphasize its impact on the overall reliability index, allowing customization based on the trader's preference for tail risk analysis.
2. Bias Factor (BF)
What is the Bias Factor?
The Bias Factor measures the ratio of the current market price to the expected mean price calculated over a defined period. It represents the deviation from the typical price level.
How it’s used in SRI:
A higher bias factor indicates that the current price significantly deviates from the historical average, suggesting a potential mean reversion or trend exhaustion.
Weight in SRI:
Adjusting the Bias Factor weight lets users control how much this deviation influences the SRI, balancing between momentum trading and mean reversion strategies.
3. Coefficient of Variation (CV)
What is CV?
The Coefficient of Variation (CV) is a statistical measure that expresses the ratio of the standard deviation to the mean. It indicates the relative variability of asset returns, helping gauge the risk-to-return consistency.
How it’s used in SRI:
A lower CV indicates more stable and predictable price behavior, while a higher CV signals increased volatility. The SRI incorporates the inverse of the normalized CV to reflect price stability positively.
Weight in SRI:
By adjusting the CV weight, users can prioritize consistent price movements over erratic volatility, aligning the indicator with risk tolerance and strategy preferences.
Interpreting the SRI:
1. SRI Plot:
The SRI plot dynamically changes color to reflect market conditions:
Aqua Line: Indicates uptrend stability, signaling statistically consistent upward movements.
Fuchsia Line: Indicates downtrend stability, where statistically reliable downward movements are present.
The overlay background shifts between colors:
Aqua Background: Signifies statistical stability, where trends are historically consistent.
Fuchsia Background: Indicates statistical instability, often associated with trend uncertainty.
Yellow Background: Marks choppy periods, where statistical data suggests that market conditions are not conducive to reliable trading.
2. SRI Volatility Plot:
Displays the volatility of the SRI itself to detect when the indicator is stable or unstable:
Blue Area Fill: Signifies that the SRI is stable, indicating trending conditions.
Yellow Area Fill: Represents choppy or unstable SRI movements, suggesting sideways or unreliable market conditions.
A Chop Threshold Line (dotted yellow) highlights the maximum acceptable SRI volatility before the market is considered too unpredictable.
3. Stability Assessment:
Stable Trend (No Chop):
The SRI is smooth and consistent, often accompanied by aqua or fuchsia lines.
Volatility remains below the chop threshold, indicating a low-risk, trend-following environment.
Chop Mode:
The SRI becomes erratic, and the volatility plot spikes above the threshold.
Marked by a yellow shaded background, indicating uncertain and non-trending conditions.
[Trend Identification:
Use the color-coded SRI line and background to determine uptrend or downtrend reliability.
Be cautious when the SRI volatility plot shows yellow, as this signals trading conditions may not be reliable.
Practical Use Cases:
Trend Confirmation:
Utilize the SRI plot color and background to confirm whether a detected trend is statistically reliable.
Chop Mode Filtering:
During yellow chop periods, it is advisable to reduce trading activity or adopt range-bound strategies.
Strategy Filter:
Combine the SRI with trend-following indicators (like moving averages) to enhance entry and exit accuracy.
Volatility Monitoring:
Pay attention to the SRI volatility plot, as spikes often precede erratic price movements or trend reversals.
Disclaimer:
The Statistical Reliability Index (SRI) is a technical analysis tool designed to aid in market stability assessment and trend validation. It is not intended as a standalone trading signal generator. While the SRI can help identify statistically reliable trends, it is essential to incorporate additional technical and fundamental analysis to make well-informed trading decisions.
Trading and investing involve substantial risk, and past performance does not guarantee future results. Always use risk management practices and consult with a financial advisor to tailor strategies to your individual risk profile and objectives.
Position Size Calculatorusing the settings you can edit your portfolio balance and desired risk, helps you calculate everything required about position sizing and helps you NOT lose more than intended + 10% deviation on top of that.
TCP | Money Management indicator | Crypto Version📌 TCP | Money Management Indicator | Crypto Version
A robust, multi-target risk and capital management indicator tailored for crypto traders. Whether you're trading spot, perpetual futures, or leverage tokens, this tool empowers you with precise control over risk, reward, and position sizing—directly on your chart. Eliminate guesswork and trade with confidence.
🔰 Introduction: Master Your Capital, Master Your Trades
Poor money management is the number one reason traders lose their accounts, even with solid strategies. The TCP Money Management Indicator, built by Trade City Pro (TCP), solves this problem by providing a structured, rule-based approach to capital allocation.
Want to dive deeper into the concept of money management? Check out our comprehensive tutorial on TradingView, " TradeCityPro Academy: Money Management ", to understand the principles that power this indicator and transform your trading mindset.
This indicator equips you to:
• Calculate optimal position sizes based on your capital, risk percentage, and leverage
• Set up to 5 customizable take-profit targets with partial close percentages
• Access real-time metrics like Risk-to-Reward (R/R), USD profit, and margin usage
• Trade with discipline, avoiding emotional or inconsistent decisions
💸 Money Management Formula
The indicator uses a professional capital allocation model:
Position Size = (Capital × Risk %) ÷ (Stop Loss % × Leverage)
From this, it calculates:
• Total risk amount in USD
• Optimal position size for your trade
• Margin required for each take-profit target
• Adjusted R/R for each target, accounting for partial position closures
🛠 How to Use
Enter Trade Parameters: Input your capital, risk %, leverage, entry price, and stop-loss price.
Set Take-Profit Targets: Enable 1 to 5 take-profit levels and specify the percentage of the position to close at each.
Real-Time Calculations: The indicator automatically computes:
• R/R ratio for each target
• Profit in USD for each partial close
• Margin used per target (in % and USD)
Visualize Your Trade:
• Price levels for entry, stop-loss, and take-profits are plotted on the chart.
• A dynamic info panel on the left side displays all key metrics.
🔄 Dynamic Adjustments: As each take-profit target is hit and a portion of the position is closed, the indicator recalculates the remaining position size, expected profit, R/R, and margin for subsequent targets. This ensures accuracy and reflects real-world trade behavior.
📊 Table Overview
The left-side panel provides a clear snapshot:
• Trade Setup: Capital, entry price, stop-loss, risk amount, and position size
• Per Target: Percentage closed, R/R, profit in USD, and margin used
• Summary: Total expected profit across all targets
⚙️ Settings Panel
• Total Capital ($): Your account size for the trade
• Risk per Trade (%): The percentage of capital you’re willing to risk
• Leverage: The leverage applied to the trade
• Entry/Stop-Loss Prices: Define your trade’s risk zone
• Take-Profit Targets (1–5): Set price levels and percentage to close at each
🔍 Use Case Example
Imagine you have $1,000 capital, risking 1%, using 10x leverage:
• Entry: $100 | Stop-Loss: $95
• TP1: $110 (close 50%) | TP2: $115 (close 50%)
The indicator calculates the exact position size, profit at each target, and margin allocation in real time, with all metrics displayed on the chart.
✅ Why Traders Love It
• Precision: No more manual calculations or guesswork
• Versatility: Works on all crypto pairs (BTC, ETH, altcoins, etc.)
• Flexibility: Perfect for scalping, swing trading, or futures strategies
• Universal: Compatible with all timeframes
• Transparency: Fully manual, with clear and reliable outputs
🧩 Built by Trade City Pro (TCP)
Developed by TCP, a trusted name in trading tools, used by over 150,000 traders worldwide. This indicator is coded in Pine Script v5, ensuring compatibility with TradingView’s platform.
🧾 Final Notes
• No Auto-Trading: This is a manual tool for disciplined traders
• No Repainting: All calculations are accurate and non-repainting
• Tested: Rigorously validated across major crypto pairs
• Publish-Ready: Built for seamless use on TradingView
🔗 Resources
• Money Management Tutorial: Learn the fundamentals of capital management with our detailed guide: TradeCityPro Academy: Money Management
• TradingView Profile: Explore more tools by TCP on TradingView
