MA Dispersion+MA Dispersion+ — read the “breathing space” between your moving-averages
Get instant feedback on trend strength, volatility expansion and mean-reversion — across any timeframe.
MA Dispersion+ turns the humble moving-average stack into a single, easy-to-read oscillator that tells you at a glance whether price is coiling or fanning out.
🧩 What it does
Plugs into your favourite MA setup
• Pick the classic 5 / 20 / 50 / 200 lengths or disable any combination with one click.
• Choose the MA engine you trust — SMA, EMA, RMA, VWMA or WMA.
• Works on any timeframe thanks to TradingView’s security() engine.
Measures “spread”
For every bar it calculates the absolute distance of each selected MA from their average.
The tighter the stack, the lower the value; the wider the fan, the higher the value.
Adds professional-grade controls
• Weighting — let short-term MAs dominate (Inverse Length), keep everything equal, or dial in your own custom weights.
• Normalisation — convert the raw distance into a percentage of price, ATR multiples, or scale by the MAs’ own mean so you can compare symbols of any price or volatility.
🔍 How traders use it
Trend confirmation – rising dispersion while price breaks out = momentum is genuine.
Volatility squeeze – dispersion parking near zero warns that a big move is loading.
Multi-TF outlook – drop one pane per timeframe (e.g. 5 m, 1 h, 1 D) and see which layer of the market is driving.
Mean-reversion plays – spikes that fade quickly often coincide with exhaustion and snap-backs.
⚙️ Quick-start
Add MA Dispersion+ to your chart.
Set the pane’s timeframe in the first input.
Tick the MA lengths you actually use.
(Optional) Pick a weighting scheme and a normaliser.
Repeat the indicator for as many timeframes as you like — each instance keeps its own settings.
✨ Why you’ll love it
Zero clutter – one orange line tells you what four separate MAs whisper.
Configurable yet bullet-proof – all lengths are hard-coded constants, so Pine never complains.
Context aware – normalisation lets you compare BTC’s $60 000 chaos with EURUSD’s four--decimals calm.
Lightweight – no labels, no drawings, no background processing — perfect for mobile and multi-pane layouts.
Give MA Dispersion+ a try and let your charts breathe — you’ll never look at moving-average ribbons the same way again.
Happy trading!
指標和策略
NeuroTrendNeuroTrend is an advanced, self-adjusting trend analysis system that continuously adapts to changing market conditions using volatility-aware smoothing, momentum weighting, and intelligent trend classification. It provides real-time trend detection, confidence scoring, early reversal warnings, and slope projection, all delivered through a coaching dashboard and structured rule-based commentary system.
At its core, NeuroTrend uses two EMAs whose smoothing lengths change automatically based on current volatility, measured by the ATR relative to price, and momentum bias, measured by RSI displacement from the neutral level. These adaptive EMAs create a flexible baseline that adjusts to the pace of the market. From these EMAs, the system calculates angular slope and derives a slope power score, which reflects directional momentum weighted by volatility.
NeuroTrend classifies each bar into one of five market phases: Impulse, Cooling, Reversal Risk, Stall, or Neutral. This classification is based on slope strength, slope variability, and RSI behavior. Each phase offers specific context for whether to enter, continue, or avoid a position.
The indicator uses what is referred to as a neural memory engine, which is inspired by the idea of memory but is not a neural network or machine learning model. Instead, it is a statistical recalibration system that adjusts thresholds using recent ATR conditions and slope standard deviation. This allows the indicator to remain aligned with the current market environment without the need for manual tuning.
Although NeuroTrend is fully adaptive, it includes inputs for the base fast and slow EMAs. These inputs define the central anchor points around which the adaptive logic operates. This gives the trader the ability to control the default behavior of the indicator while still benefiting from real-time responsiveness to volatility and momentum.
To assess the strength of a trend, NeuroTrend computes a confidence score based on four elements: DMI trend strength, directional bias from DI+ and DI–, slope normalization, and volatility efficiency measured by ATR in relation to EMA distance. This score is used to inform alerts, commentary, and dashboard visualization.
The indicator also includes a slope projection engine that estimates near-term direction based on slope change and acceleration. This projection is scaled and clamped using a dynamic volatility factor to prevent unrealistic or unstable values.
Reversal and stall detection are built in. Reversal detection is based on slope collapsing, sign flipping, and RSI weakness. Stall detection is triggered when slope magnitude is low, RSI is flat, and ATR is compressed. These filters help prevent entries in low-quality or high-risk environments.
The system also includes AI-style commentary. This feature is not powered by machine learning or natural language processing. It is rule-based, using prioritized conditions to generate clear statements that reflect the current market state. Messages such as "Strong trend forming" or "Reversal risk rising" are created by predefined logic that adapts to the market.
A visual dashboard is provided on the chart. It displays the current phase, trend direction, slope score, confidence level, reversal status, stall condition, and projected slope angle. This helps traders interpret market behavior at a glance without scanning multiple indicators.
Alerts are triggered only when specific conditions are met: trend strength must be in the impulse phase, confidence must be high, and there must be no active reversal or stall conditions. This ensures alerts are reserved for high-quality setups with strong directional alignment.
Disclaimer:
This script is intended for educational and informational use only. It does not constitute financial advice. The author accepts no responsibility for any trading or investment decisions made using this tool. Always do your own research and consult a licensed financial advisor before making financial decisions.
IBD Style Candles [tradeviZion]IBD Style Candles - Visualize Price Bars Like the Pros
Transform your chart with institutional-grade IBD-style bars and customizable moving averages for both daily and weekly timeframes. This indicator helps you visualize price action the way professionals at Investors Business Daily do.
What This Indicator Offers:
IBD-style bar visualization (clean, professional appearance)
Customizable coloring based on price movement or previous close
Automatic timeframe detection for appropriate moving averages
Four customizable moving averages for daily timeframes (10, 21, 50, 200)
Four customizable moving averages for weekly timeframes (10, 20, 30, 40)
Options to use SMAs or EMAs with adjustable colors and line widths
"The IBD-style bars provide a cleaner view of price action, allowing you to focus on market structure without the visual noise of traditional candles."
How to Apply the IBD-Style Bars:
On your TradingView chart, select "Bars" as the chart type from the main chart type selection menu (next to the time interval options).
Right-click on the chart and select "Settings".
Go to the "Symbol" tab.
Uncheck the "Thin Bars" option to display thicker bars.
Set the "Up Color" and "Down Color" opacity to 0 for a clean IBD-style appearance.
Enable "IBD-style Candles" from the script's settings.
To revert to the original chart style, repeat the above steps and restore the default settings.
Moving Average Configuration:
The indicator automatically detects your timeframe and displays the appropriate moving averages:
Daily Timeframe Moving Averages:
10-day moving average (SMA/EMA)
21-day moving average (SMA/EMA)
50-day moving average (SMA/EMA)
200-day moving average (SMA/EMA)
Weekly Timeframe Moving Averages:
10-week moving average (SMA/EMA)
20-week moving average (SMA/EMA)
30-week moving average (SMA/EMA)
40-week moving average (SMA/EMA)
Usage Tips:
Enable "Color bars based on previous close" to identify momentum shifts based on prior candle closes
Customize colors to match your chart theme or preference
Enable only the moving averages relevant to your trading strategy
For cleaner charts, reduce the number of visible moving averages
For stock trading, the 10/21/50/200 daily and 10/40 weekly MAs are most commonly used by institutions
// Example configuration for different timeframes
if timeframe.isweekly
// Weekly configuration
showSMA1_Weekly = true // 10-week MA
showSMA4_Weekly = true // 40-week MA
else
// Daily configuration
showMA2_Daily = true // 21-day MA
showMA3_Daily = true // 50-day MA
showMA4_Daily = true // 200-day MA
While the IBD style provides clarity, remember that no visualization method guarantees trading success. Always combine with proper analysis and risk management.
If you found this indicator helpful, please consider leaving a comment or suggestion for future improvements. Happy trading!
Ceres Trader Inv DXY % OverlayIntroducing the “Inverse DXY % Overlay” for TradingView
What it does:
• Plots the U.S. Dollar Index (DXY) as an inverted %-change line directly over your primary chart (e.g. XAUUSD).
• Dollar strength shows as a downward line; dollar weakness shows as an upward line—instantly highlighting negative correlation.
Why it helps:
• Trend confirmation – Ride Gold breakouts only when the dollar is actually weakening.
• Divergence signals – Spot early turn setups when Gold and DXY % don’t move in sync.
• Risk management – Trim or tighten stops when the dollar pivots against your position.
Key features:
Overlay on any symbol (Gold, Silver, Oil, Crypto, equities)
Auto-scaled to left-axis %, so your price chart stays on the right
Lightweight & transparent—1 px grey line, minimal clutter
Now you’ll have a real-time, inverted DXY % line beneath your candles—perfect for gauging USD flow before you pull the trigger on any trade.
Happy trading! 🚀
—Michael (Ceres Trader)
LANZ Strategy 2.0🔷 LANZ Strategy 2.0 — London Breakout Confirmation with Structural Swing Protection
LANZ Strategy 2.0 is a structured trading system that leverages the last confirmed market direction before the London session to define directional bias and manage trades based on key structural swing levels. It is tailored for intraday traders looking to capitalize on early London volatility with built-in risk management and visual clarity.
🧠 Core Components:
Directional Confirmation (Pre-London Bias): Validates the last breakout or structural move from the 15-minute timeframe before 02:15 a.m. New York time (start of the London session), establishing the expected market direction.
Time-Based Execution: Executes potential entries strictly at 02:15 a.m. NY time, using market structure to support Long or Short bias.
Dynamic Swing-Based SL System: Allows user to select between three SL protection models: First Swing (most recent structural point) Second Swing (prior level) Total Coverage (includes both swings + extra buffer) This supports flexibility based on trader profile or market conditions.
Visual Risk Mapping: All SL and TP levels are clearly plotted.
End-of-Session Management: Positions are automatically evaluated for closure at 11:45 a.m. NY time. SL, TP, or manual close outcomes are labeled accordingly.
📊 Visual Features:
Labels for 1st and 2nd swing levels upon entry.
Dynamic lines projecting SL/TP levels toward the end of the session.
Session background coloring for Pre-London, Execution, and NY sessions.
Real-time percentage outcome labels (+2.00%, -1.00%, or net % at session end).
Automatic deletion of previous visuals on new entries for clean charting.
⚙️ How It Works:
Detects last structural breakout on the 15m timeframe before 02:15 a.m. NY.
On the 02:15 a.m. candle, executes a Long or Short logic entry.
Plots corresponding SL and TP based on selected swing model.
Monitors price action: If TP or SL is hit, labels it accordingly. If no exit is hit, trade closes manually at 11:45 a.m. NY with net result shown.
Optional logic to reverse entries if market structure breaks before execution.
🔔 Alerts:
Daily execution alert at 02:15 a.m. NY (prompting manual review or action).
Optional alert logic can be extended for SL/TP hits or structure breaks.
📝 Notes:
Designed for semi-automated or discretionary intraday trading.
Best used on Forex pairs or indices with strong London session behavior.
Adjustable parameters include session hours, swing SL type, and buffer settings.
Credits:
Developed by LANZ, this script combines time-based execution with dynamic structure protection, offering a disciplined framework for participating in the London session breakout with clear visuals and risk logic.
Price Lag Factor (PLF)📊 Price Lag Factor (PLF) for Crypto Traders: A Comprehensive Breakdown
The Price Lag Factor (PLF) is a momentum indicator designed to identify overextended price movements and gauge market momentum. It is particularly optimized for the crypto market, which is known for its high volatility and rapid trend shifts.
🔎 What is the Price Lag Factor (PLF)?
The PLF measures the difference between long-term and short-term price momentum and scales it dynamically based on recent volatility. This helps traders identify when the market might be overbought or oversold while filtering out noise.
The formula used in the PLF calculation is:
PLF = (Z-Long - Z-Short) / Stdev(PLF)
Where:
Z-long: Z-score of the long-term moving average (50-period by default).
Z-short: Z-score of the short-term moving average (14-period by default).
Stdev(PLF): Standard deviation of the PLF over a longer period (50-period by default).
🧠 How to Interpret the PLF:
1. Trend Direction:
Positive PLF (Green Bars): Indicates bullish momentum. The long-term trend is up, and short-term movements are confirming it.
Negative PLF (Red Bars): Indicates bearish momentum. The long-term trend is down, and short-term movements are consistent with it.
2. Momentum Strength:
PLF near Zero (±0.5): Low momentum; trend direction is not strong.
PLF between ±1 and ±2: Moderate momentum, indicating that the market is moving with strength but not in an overextended state.
PLF beyond ±2: High momentum (overbought/oversold), indicating potential trend exhaustion and a possible reversal.
📈 Trading Strategies:
1. Trend Following:
Bullish Signal:
Enter long when PLF crosses above 0 and remains green.
Confirm with other indicators like RSI or MACD to reduce false signals.
Bearish Signal:
Enter short when PLF crosses below 0 and remains red.
Use trend confirmation (e.g., moving average crossover) for better accuracy.
2. Reversal Trading:
Overbought Signal:
If PLF rises above +2, look for signs of bearish divergence or a reversal pattern to consider a short entry.
Oversold Signal:
If PLF falls below -2, watch for bullish divergence or a support bounce to consider a long entry.
3. Momentum Divergence:
Bullish Divergence:
Price makes a lower low while PLF makes a higher low.
Indicates weakening bearish momentum and a potential bullish reversal.
Bearish Divergence:
Price makes a higher high while PLF makes a lower high.
Signals weakening bullish momentum and a potential bearish reversal.
💡 Best Practices:
Combine with Volume:
Volume spikes during high PLF readings can confirm trend continuation.
Low volume during PLF extremes may hint at false breakouts.
Watch for Extreme Levels:
PLF beyond ±2 suggests overextended price action. Use caution when entering new positions.
Confirm with Other Indicators:
Use with Relative Strength Index (RSI) or Bollinger Bands to get a better sense of overbought/oversold conditions.
Overlay with a moving average to gauge trend consistency.
🚀 Why the PLF Works for Crypto:
Crypto markets are highly volatile and prone to rapid trend changes. The PLF's adaptive scaling ensures it remains relevant regardless of market conditions.
It highlights momentum shifts more accurately than static indicators because it accounts for changing volatility in its calculation.
🚨 Disclaimer for Traders Using the Price Lag Factor (PLF) Indicator:
The Price Lag Factor (PLF) indicator is designed as a technical analysis tool to gauge momentum and identify potential overbought or oversold conditions. However, it should not be relied upon as a sole decision-making factor for trading or investing.
Important Points to Consider:
Market Risk: Trading cryptocurrencies and other financial assets involves significant risk. The PLF may not accurately predict future price movements, especially during unexpected market events.
Indicator Limitations: No technical indicator, including the PLF, is infallible. False signals can occur, particularly in low-volume or highly volatile conditions.
Supplementary Analysis: Always combine PLF insights with other technical indicators, fundamental analysis, and risk management strategies to make informed decisions.
Personal Judgment: Traders should use their own discretion when interpreting PLF signals and never trade based solely on this indicator.
No Guarantees: The PLF is designed for educational and informational purposes only. Past performance is not indicative of future results.
Always perform thorough research and consider consulting with a professional financial advisor before making any trading decisions.
Buy and Sell Pressure Signals (Clean)This script identifies strong buy and sell pressure based purely on candlestick structure — no indicators, no clutter. It highlights key reversal or momentum candles using minimal visuals:
🔼 Green Triangle (Buy Pressure): A bullish candle with a large body and small upper/lower wicks, indicating strong upward momentum and buyer control.
🔽 Red Triangle (Sell Pressure): A bearish candle with a large body and small wicks, showing strong downward momentum and seller dominance.
Designed for traders who prefer clean, price-action-based signals without text labels or distracting overlays. Ideal for scalping, trend confirmation, or identifying exhaustion zones.
Divergence Macro Sentiment Indicator (DMSI)The Divergence Macro Sentiment Indicator (DMSI)
Think of DMSI as your daily “mood ring” for the markets. It boils down the tug-of-war between growth assets (S&P 500, copper, oil) and safe havens (gold, VIX) into one clear histogram—so you instantly know if the bulls have broad backing or are charging ahead with one foot tied behind.
🔍 What You’re Seeing
Green bars (above zero): Risk-on conviction.
Equities and commodities are rallying while gold and volatility retreat.
Red bars (below zero): Risk-off caution.
Gold or VIX are climbing even as stocks rise—or stocks aren’t fully joined by oil/copper.
Zero line: The line in the sand between “full-steam ahead” and “proceed with care.”
📈 How to Read It
Cross-Zero Signals
Bullish trigger: DMSI flips up through zero after a red stretch → fresh long entries.
Bearish trigger: DMSI tumbles below zero from green territory → tighten stops or go defensive.
Divergence Warnings
If SPX makes new highs but DMSI is rolling over (lower green bars or red), that’s your early red flag—rallies may fizzle.
Strength Confirmation
On pullbacks, only buy dips when DMSI ≥ 0. When DMSI is deeply positive, you can be more aggressive on position size or add leverage.
💡 Trade Guidance & Use Cases
Trend Filter: Only take your S&P or sector-ETF long setups when DMSI is non-negative—avoids hollow rallies.
Macro Pair Trades:
Deep red DMSI: go long gold or gold miners (GLD, GDX).
Strong green DMSI: lean into cyclicals, industrials, even energy names.
Risk Management:
Scale out as DMSI fades into negative territory mid-trade.
Scale in or add to winners when it stays bullish.
Swing Confirmation: Overlay on any oscillator or price-pattern system—accept signals only when the macro tide is flowing in your favour.
🚀 Why It Works
Markets don’t move in a vacuum. When stocks rally but the “real-economy” metals and volatility aren’t cooperating, something’s off under the hood. DMSI catches those cross-asset cracks before price alone can—and gives you an early warning system for smarter entries, tighter risk, and bigger gains when the macro trend really kicks in.
ICT iFVG Detector and Alert [by ote618]Description
This script detects ICT - fair value gaps (FVG) formed by price gaps between Candle 1 and Candle 3, then monitors the next 5 candles for an inverse fair value gap (iFVG).
What It Detects
Bullish FVG: When Candle 1 high is below Candle 3 low (BISI)
Bearish FVG: When Candle 1 low is above Candle 3 high (SIBI)
Once an FVG is detected, the script checks the next 5 candles:
A Bullish FVG becomes a Bearish IFVG if price closes below Candle 1 high
A Bearish FVG becomes a Bullish IFVG if price closes above Candle 1 low
Only the first bar that validates the FVG triggers the transition to an IFVG.
Visual Output
A shaded rectangle is plotted to mark the original FVG zone (from Candle 1 to Candle 3)
Color-coded:
Red for Bearish IFVG (validated Bullish IG)
Green for Bullish IFVG (validated Bearish IG)
The rectangle extends from Candle 1 to the validating bar
Alerts
You can receive alerts when an FVG becomes an IFVG:
Configurable to fire only on selected timeframes (1m, 5m, 15m, 60m)
Alerts include the direction and the chart timeframe
Settings
Enable Alerts For Timeframe: Choose which timeframe(s) trigger alerts
This tool helps traders identify inverse FVGs (iFVG), a useful ICT concept.
Internal Market Structure + Order BlocksInternal Market Structure + Order Blocks
This indicator combines internal market structure shifts with order block detection to help traders identify key zones of institutional interest and potential trend reversals. It highlights bullish and bearish engulfing conditions that mark the formation of valid order blocks, and it plots internal structure shifts—early signals that may precede a larger move.
Key Features:
-Bullish & Bearish Order Blocks: Highlighted with shaded boxes (green for bullish, red for bearish) following engulfing price action.
-Internal Structure Shifts: Small black triangles show early signs of a potential reversal, offering a unique perspective beyond standard structure analysis.
-Engulfing Breakouts: Marks when price breaks previous opposing structure, confirming new directional intent.
-Alerts Included: Get notified on key structure breaks and internal shifts to stay ahead of potential setups.
This tool is designed to support price action trading by visually mapping key structural changes and zones of interest directly on your chart. It is not intended to function as a standalone trading strategy , but rather as a supplementary tool to inform your own analysis and discretion.
Note: The arrows, polylines, and colored trendlines shown in the chart example are not generated by the indicator. They have been added manually for illustration purposes to demonstrate how the indicator can be used to trace market structure. Likewise, the order blocks in the example are manually drawn and may differ slightly from the indicator's automatic calculations, serving only to enhance visual clarity.
Dr W 9-9 ModelDr W 9-9 Model is a custom TradingView indicator designed to visually highlight key 4-hour candle time blocks at 9 PM, 1 AM, 5 AM, and 9 AM (server time - recommended UTC -4 ) on your chart. It draws semi-transparent coloured rectangles around these specific 4-hour candles, helping traders quickly identify and analyse price action during these important time windows.
Features:
Highlights the 4-hour candles starting at 9 PM, 1 AM, 5 AM, and 9 AM with distinct customizable colors.
Simplified color customization with a single color input per time block that controls both the rectangle fill and border.
Works on any intraday timeframe, overlaying the rectangles directly on price bars for easy visual correlation.
Helps traders spot recurring market behaviors and patterns tied to these key time intervals.
This indicator is ideal for traders who incorporate time-based models and session analysis into their trading strategy, providing a clean and intuitive visual guide to important 4-hour periods.
Zero Lag AMA# Zero Lag AMA Indicator
## Overview
The High Probability AMA Indicator is a sophisticated trend-following tool that adapts to market conditions by dynamically adjusting its smoothing factor based on market efficiency. Unlike standard moving averages with fixed parameters, this indicator becomes more responsive during trending markets and more stable during choppy, sideways markets.
### Adaptive Moving Average (AMA)
The AMA adjusts its sensitivity to price changes based on market conditions:
- In trending markets: The AMA closely follows price movements with minimal lag
- In ranging markets: The AMA filters out noise by smoothing price action
### Efficiency Ratio (ER)
The indicator measures market efficiency using the Efficiency Ratio:
ER = Direction / Volatility
Where:
- **Direction** is the absolute net change in price over a period (how far price has moved)
- **Volatility** is the sum of all absolute price changes over the same period (how much price has fluctuated)
The ER ranges between 0 and 1:
- Values close to 1 indicate a strong trend (efficient market movement)
- Values close to 0 indicate a choppy market (inefficient market movement)
### Variable Smoothing Constant
Based on the Efficiency Ratio, the indicator calculates a smoothing constant between two extremes:
- A fast smoothing constant for trending markets
- A slow smoothing constant for ranging markets
The formula is:
SC = ²
Where:
- FastSC = 2/(fastPeriod + 1)
- SlowSC = 2/(slowPeriod + 1)
## Key Features
### Dynamic Volatility Measurement
The indicator calculates price volatility using standard deviation over a customizable period, which helps contextualize price movements relative to recent market conditions.
### AMA Slope Analysis
The indicator tracks the AMA's slope (rate of change) to determine trend direction and strength, providing valuable context beyond just price position relative to the AMA line.
### Visual Trend Identification
The chart background changes color based on trend conditions:
- Green background indicates bullish conditions (price above AMA and positive slope)
- Red background indicates bearish conditions (price below AMA and negative slope)
## Parameters
### Essential Parameters
- **Fast Period (default: 9)**: Controls the most responsive the AMA can be during strong trends
- **Slow Period (default: 15)**: Controls how smooth the AMA becomes during choppy markets
- **Volatility Period (default: 14)**: Period for calculating price standard deviation
- **Efficiency Ratio Period (default: 20)**: Period for calculating the Efficiency Ratio
### Appearance Settings
- **AMA Line Color**: Customize the color of the Adaptive Moving Average line
## How to Use This Indicator
### Trend Identification
The primary use is identifying the current market trend:
- The AMA line direction indicates the overall trend
- Background colors provide quick visual confirmation of trend state
- Price position relative to the AMA line shows the current market bias
### Market Context
- Monitor the AMA slope to gauge trend strength
- Use volatility readings to assess market conditions
- Pay attention to how closely the AMA follows price - tight following indicates trending markets
### Optimal Trading Conditions
- Most reliable signals occur when price breaks and closes beyond the AMA line while the AMA slope confirms the direction
- The indicator performs best on higher timeframes (1H, 4H, Daily) for strategic positions
- Can also be effective on lower timeframes (5m,15m, 30m) when combined with other confirmation tools
## Best Practices
1. **Multiple Timeframe Analysis**: Confirm signals across different timeframes for higher probability setups
2. **Complementary Indicators**: Combine with:
- Volume indicators to confirm trend strength
- Oscillators for potential reversal points
- Support/resistance levels for entry and exit points
3. **Parameter Optimization**: Adjust parameters based on:
- The specific instrument being traded
- Your trading timeframe
- Current market volatility conditions
## Technical Implementation Details
The indicator uses a sophisticated calculation approach:
1. Calculates the Efficiency Ratio using price direction and volatility
2. Determines the appropriate smoothing constant based on market efficiency
3. Applies the smoothing constant to current and previous AMA values
4. Analyzes AMA slope and price position to determine market conditions
5. Provides visual feedback through line color and background shading
This implementation avoids the lag present in traditional moving averages while still filtering market noise, making it particularly valuable during transitions between trending and ranging market conditions.
Extended Altman Z-Score ModelThe Extended Altman Z-Score Model represents a significant advancement in financial analysis and risk assessment, building upon the foundational work of Altman (1968) while incorporating contemporary data analytics approaches as proposed by Fung (2023). This sophisticated model enhances the traditional bankruptcy prediction framework by integrating additional financial metrics and modern analytical techniques, offering a more comprehensive approach to identifying financially distressed companies.
The model's architecture is built upon two distinct yet complementary scoring systems. The traditional Altman Z-Score components form the foundation, including Working Capital to Total Assets (X1), which measures a company's short-term liquidity and operational efficiency. Retained Earnings to Total Assets (X2) provides insight into the company's historical profitability and reinvestment capacity. EBIT to Total Assets (X3) evaluates operational efficiency and earning power, while Market Value of Equity to Total Liabilities (X4) assesses market perception and leverage. Sales to Total Assets (X5) measures asset utilization efficiency.
These traditional components are enhanced by extended metrics introduced by Fung (2023), which provide additional layers of financial analysis. The Cash Ratio (X6) offers insights into immediate liquidity and financial flexibility. Asset Composition (X7) evaluates the quality and efficiency of asset utilization, particularly in working capital management. The Debt Ratio (X8) provides a comprehensive view of financial leverage and long-term solvency, while the Net Profit Margin (X9) measures overall profitability and operational efficiency.
The scoring system employs a sophisticated formula that combines the traditional Z-Score with weighted additional metrics. The traditional Z-Score is calculated as 1.2X1 + 1.4X2 + 3.3X3 + 0.6X4 + 1.0X5, while the extended components are weighted as follows: 0.5 * X6 + 0.3 * X7 - 0.4 * X8 + 0.6 * X9. This enhanced scoring mechanism provides a more nuanced assessment of a company's financial health, incorporating both traditional bankruptcy prediction metrics and modern financial analysis approaches.
The model categorizes companies into three distinct risk zones, each with specific implications for financial stability and required actions. The Safe Zone (Score > 3.0) indicates strong financial health, with low probability of financial distress and suitability for conservative investment strategies. The Grey Zone (Score between 1.8 and 3.0) suggests moderate risk, requiring careful monitoring and additional fundamental analysis. The Danger Zone (Score < 1.8) signals high risk of financial distress, necessitating immediate attention and potential risk mitigation strategies.
In practical application, the model requires systematic and regular monitoring. Users should track the Extended Score on a quarterly basis, monitoring changes in individual components and comparing results with industry benchmarks. Component analysis should be conducted separately, identifying specific areas of concern and tracking trends in individual metrics. The model's effectiveness is significantly enhanced when used in conjunction with other financial metrics and when considering industry-specific factors and macroeconomic conditions.
The technical implementation in Pine Script v6 provides real-time calculations of both traditional and extended scores, offering visual representation of risk zones, detailed component breakdowns, and warning signals for critical values. The indicator automatically updates with new financial data and provides clear visual cues for different risk levels, making it accessible to both technical and fundamental analysts.
However, as noted by Fung (2023), the model has certain limitations that users should consider. It may not fully account for industry-specific factors, requires regular updates of financial data, and should be used in conjunction with other analysis tools. The model's effectiveness can be enhanced by incorporating industry-specific benchmarks and considering macroeconomic factors that may affect financial performance.
References:
Altman, E.I. (1968) 'Financial ratios, discriminant analysis and the prediction of corporate bankruptcy', The Journal of Finance, 23(4), pp. 589-609.
Li, L., Wang, B., Wu, Y. and Yang, Q., 2020. Identifying poorly performing listed firms using data analytics. Journal of Business Research, 109, pp.1–12. doi.org
ADR & ATR OverlayADR & ATR Overlay
This indicator will display the following as an overlay on your chart:
ADR
% of ADR
ADR % of Price
ATR
% of ATR
ATR % of Price
Description:
ADR : Average Day Range
% of ADR : Percentage that the current price move has covered its average.
ADR % of Price : The percentage move implied by the average range.
ATR : Average True Range
% of ATR : Percentage that the current price move has covered its average.
ATR % of Price : The percentage move implied by the average true range.
Options:
Time Frame
Length
Smoothing
Enable or Disable each value
Text Color
Background Color
How to use this indicator:
The ADR and ATR can be used to provide information about average price moves to help set targets, stop losses, entries and exits based on the potential average moves.
Example: If the "% of ADR" is reading 100%, then 100% of the asset's average price range has been covered, suggesting that an additional move beyond the range has a lower probability.
Example: "ADR % of Price" provides potential price movement in percentage which can be used to asses R/R for asset.
Example: ADR (D) reading is 100% at market close but ATR (D) is at 70% at close. This suggests that there is a potential move of 30% in Pre/Post market as suggested by averages.
Notes:
These indicators are available as oscillators to place under your chart through trading view but this indicator will place them on the chart in numerical only format.
Please feel free to modify this script if you like but please acknowledge me, I am only a hobby coder so this takes some time & effort.
TTM Scalper AlertTTM Scalper Alert — Real-Time Pivot Detector
Description:
This is a custom implementation of the classic TTM Scalper Alert, adapted to show early pivot detection and trend structure tracking in real-time. The script identifies potential highs and lows before the full pivot confirmation—giving traders an early edge—and removes outdated signals once pivots are confirmed.
It supports two levels of detection:
Fast Alert Pivots : Identified after Alert Period candles confirm a local reversal.
Confirmed Pivots : Validated only after Pivot Period candles on both sides ensure a true swing high/low.
How It Works:
Fast Detection (Early Pivots):
Detected after Alert Period (AP) candles. These are provisional signals, shown as triangle labels (▲▼) near current price. Only the latest signal is shown; previous fast pivots are deleted to avoid clutter.
Confirmed Pivots:
Detected with a full lookback of Pivot Period (PP) on both sides of the candle. Shown using plotshape with triangle markers (▲▼). Serve as anchors for price structure analysis (HH-HL or LL-LH tracking).
Custom Source Option:
Users can choose to base pivots on High/Low or Close/Open range. Helps adjust sensitivity depending on volatility or bar structure.
How to Interpret:
Trend & Market Structure:
Use Confirmed Pivots (plotshapes) to analyze market structure:
HH → HL: Uptrend
LL → LH: Downtrend
Watch for breaks in structure for possible reversals
Early Alerts:
The floating labels (▲▼) represent early warnings of a potential pivot. Use them to anticipate:
Short-term exhaustion
Quick scalping entries
Divergence setups
Inputs:
Source : Choose from High/Low or Close/Open — affects how pivots are calculated
Alert Period : How fast the script detects an early reversal pattern (used for entry timing)
Pivot Period : How many candles before/after to confirm a full pivot (used for structural analysis)
Best For:
Traders who follow price action and structure
Scalpers and intraday traders who want early signals
Anyone using pivot highs/lows for confluence with other tools (like RSI divergence, Bollinger Bands, VWAP, etc.)
Pro Tips:
Combine this with:
Trend Magic or Supertrend for directional bias
Volume spike filters to confirm reversal intent
RSI/CCI divergence to strengthen reversal pivots
Adjust Alert Period to tune early signal sensitivity (lower = faster but noisier)
Chart Patterns [ActiveQuants]The Chart Patterns indicator is a comprehensive tool designed to automatically identify a variety of common chart patterns directly on your price chart. By detecting sequences of pivot highs and lows , this indicator helps traders spot potential trend continuations , reversals , and key market structures such as Double Tops and Double Bottoms . Enhance your technical analysis by quickly recognizing these formations as they emerge.
How It Works
The indicator operates in a two-stage process:
Pivot Point Detection: It first identifies significant swing highs and swing lows (pivot points) based on a user-defined Period . These pivots form the fundamental building blocks for pattern recognition.
Pattern Recognition: Using the sequence of these detected pivot points, the script then applies logical rules to identify the following patterns:
Lower Low (LL)
Lower Low & Lower High (LL & LH)
Higher High (HH)
Higher High & Higher Low (HH & HL)
Double Tops
Double Bottoms
Patterns are drawn on the chart with connecting lines and labeled for easy identification. Double Tops and Double Bottoms also feature a status system: " Active " while forming, " Confirmed " upon neckline breakout, or " Invalid " if specific conditions negate the pattern before confirmation.
█ KEY FEATURES
Comprehensive Pattern Detection: Identifies six distinct types of chart patterns, offering insights into both trend continuation and potential reversals.
Pivot-Based Analysis: Uses a robust method of identifying pivot highs and lows as the foundation for pattern formation.
Pattern Status for Double Tops/Bottoms:
- Active: A Double Top or Double Bottom pattern has formed its two peaks/troughs and the intervening neckline point, but the price has not yet broken beyond the neckline. The pattern is developing .
- Confirmed: The price has decisively closed beyond the neckline (below for Double Top, above for Double Bottom), signaling a potential entry or validation of the pattern.
- Invalid: An " Active " Double Top or Double Bottom pattern can be invalidated if, before a neckline breakout occurs, a new pivot point forms that negates the pattern’s structural integrity. For example, if a new pivot low forms above or at the neckline of an Active Double Top, the pattern is considered invalid because the market failed to break down and instead showed relative strength.
Customizable Visuals: Allows users to define colors for bullish and bearish patterns, line widths, and the visibility of pivot points.
Selective Pattern Display: Users can choose to display all patterns or filter by status (Active, Confirmed, Invalid) for Double Tops/Bottoms. Individual pattern types can also be toggled on or off.
Historical Analysis Control: The Show Last History (Bars) input allows users to specify how far back the indicator should plot patterns, optimizing performance and chart readability.
Clear Labeling: Patterns are clearly labeled on the chart, with Double Tops/Bottoms also showing " Top 1 ," " Top 2 ," or " Bottom 1 ," " Bottom 2 " labels.
█ PATTERNS DETECTED
Lower Low (LL): Indicates a potential bearish continuation or the start of a downtrend. Forms when price makes a lower low during an uptrend.
Lower Low & Lower High (LL & LH): A stronger confirmation of a bearish trend, where the market forms a lower low followed by a lower high .
Higher High (HH): Signals a potential bullish continuation or the start of an uptrend. Forms when price makes a higher high during a downtrend.
Higher High & Higher Low (HH & HL): A stronger confirmation of a bullish trend, where the market forms a higher high followed by a higher low .
Double Top: A bearish reversal pattern characterized by two distinct peaks at roughly the same price level, separated by a trough (neckline). Confirmation occurs when price breaks below the neckline.
Double Bottom: A bullish reversal pattern featuring two distinct troughs at roughly the same price level, separated by a peak (neckline). Confirmation occurs when price breaks above the neckline.
█ EXAMPLE: DOUBLE TOP INVALIDATION
Understanding how a Double Top or Double Bottom can be invalidated is crucial. Here's an example for a Double Top:
Formation: The indicator identifies two peaks (Top 1, Top 2) at a similar price level, with a corrective trough (Neckline Pivot P5) in between. The pattern is labeled " Double Top " and is in an " Active " state. ( Imagine points P4 and P6 are the two tops, and P5 is the low point of the neckline between them ).
Pre-Breakout Condition: The price action continues, but before it breaks decisively below the P5 neckline level, a new significant swing low (a new pivot low) forms.
Invalidation Check: The indicator checks the price level of this new pivot low. If this new pivot low occurs at a price equal to or higher than the P5 neckline level, the " Active " Double Top pattern is re-labeled as " Invalid Double Top ". ( See image below for a visual representation of this scenario )
In this example, the Double Top formed with Top 1 (P4) and Top 2 (P6). The neckline is at P5. Before price broke below P5, a new pivot low formed at the red circle. Since this new pivot low is above the P5 neckline, the Double Top is marked " Invalid ".
The logic is that the market failed to break the neckline support and instead established a higher low (or a low at the support level), suggesting that the immediate bearish pressure has waned, thus invalidating the bearish reversal implication of the Double Top before it could confirm. A similar logic applies to Double Bottoms (a new pivot high forming below or at the neckline before an upside breakout).
█ USER INPUTS
Visibility and Common Styling
- Show Last History (Bars):
Specifies the number of recent bars the indicator will analyze and plot patterns on.
Default: 3000 bars. Min: 10.
- Patterns:
Filters which patterns are displayed based on their status.
Options: All, Active, Confirmed, Invalid.
Default: All.
- Pattern Line Width:
Sets the thickness of the lines used to draw the patterns.
Default: 1. Min: 1, Max: 10.
- Bearish Color:
Color for bearish patterns (LL, LL & LH, Double Tops).
Default: Red.
- Bullish Color:
Color for bullish patterns (HH, HH & HL, Double Bottoms).
Default: Green.
Pivot Points
- Period:
The lookback period on either side of a bar to qualify it as a pivot high or low. Higher values detect more significant pivots.
Default: 10 bars. Min: 2.
- Show Pivot Highs:
Toggles the visibility of detected pivot high markers.
Default: Enabled.
- Show Pivot Lows:
Toggles the visibility of detected pivot low markers.
Default: Enabled.
- Pivot Highs Color:
Color for the pivot high markers.
Default: #ff5252 (Reddish).
- Pivot Lows Color:
Color for the pivot low markers.
Default: #089981 (Greenish).
Patterns (Toggles)
- Lower Low:
Enable/disable detection and display of Lower Low patterns.
Default: Enabled.
- Lower Low & Lower High:
Enable/disable detection and display of Lower Low & Lower High patterns.
Default: Enabled.
- Higher High:
Enable/disable detection and display of Higher High patterns.
Default: Enabled.
- Higher High & Higher Low:
Enable/disable detection and display of Higher High & Higher Low patterns.
Default: Enabled.
- Double Tops:
Enable/disable detection and display of Double Top patterns.
Default: Enabled.
- Double Bottoms:
Enable/disable detection and display of Double Bottom patterns.
Default: Enabled.
█ CONCLUSION
The Chart Patterns indicator is a versatile and powerful assistant for traders who utilize classical chart pattern analysis. By automating the detection of key formations and providing clear visual cues along with status updates for patterns like Double Tops and Bottoms, it allows traders to focus on strategy development and execution. With its customizable settings, it can be adapted to various instruments and timeframes, making it a valuable addition to any technical trader's toolkit.
█ IMPORTANT NOTES
⚠ Pivot Period Sensitivity: The Period setting for pivot detection is crucial. A shorter period will identify more frequent, smaller swings, while a longer period will focus on more significant turning points. Adjust this setting based on the asset's volatility, the timeframe you are trading and your trading style.
⚠ Confirmation is Key: While the indicator identifies patterns, always wait for pattern confirmation (e.g., neckline breaks for Double Tops/Bottoms) and consider other factors like volume and market context before making trading decisions.
⚠ Confirmed Bars for Detection: Patterns are identified based on confirmed pivot points, which means a pivot is recognized period bars after it has formed. Status updates for Double Tops/Bottoms (Active, Confirmed, Invalid) also occur on confirmed bars. This approach enhances reliability and reduces the likelihood of repainting based on intra-bar price fluctuations.
⚠ Not a Standalone System: Chart patterns provide valuable insights, but they should be used in conjunction with other technical analysis tools (e.g., trendlines, moving averages, oscillators) and a sound risk management plan.
⚠ Lagging Nature: By their very definition, chart patterns are lagging indicators as they require a sequence of price action and several pivot points to complete their formation.
█ RISK DISCLAIMER
Trading involves a substantial risk of loss and is not suitable for every investor. The information provided by the Chart Patterns indicator is for educational and informational purposes only. It should not be considered as financial advice or a recommendation to buy or sell any security. Chart patterns indicate potential price movements but do not guarantee future results. Always perform your own due diligence and consult with a qualified financial advisor before making any investment decisions. Past performance is not indicative of future results.
📈 Happy trading! 🚀
UTSStrategyHelperLibrary "UTSStrategyHelper"
TODO: add library description here
stopLossPrice(sig, atr, factor, isLong)
Calculates the stop loss price using a distance determined by ATR multiplied by a factor. Example for Long trade SL: PRICE - (ATR * factor).
Parameters:
sig (float)
atr (float) : (float): The value of the atr.
factor (float)
isLong (bool) : (bool): The current trade direction.
Returns: (bool): A boolean value.
takeProfitPrice(sig, atr, factor, isLong)
Calculates the take profit price using a distance determined by ATR multiplied by a factor. Example for Long trade TP: PRICE + (ATR * factor). When take profit price is reached usually 50 % of the position is closed and the other 50 % get a trailing stop assigned.
Parameters:
sig (float)
atr (float) : (float): The value of the atr.
factor (float)
isLong (bool) : (bool): The current trade direction.
Returns: (bool): A boolean value.
trailingStopPrice(initialStopPrice, atr, factor, priceSource, isLong)
Calculates a trailing stop price using a distance determined by ATR multiplied by a factor. It takes an initial price and follows the price closely if it changes in a favourable way.
Parameters:
initialStopPrice (float) : (float): The initial stop price which, for consistency also should be ATR * factor behind price: e.g. Long trade: PRICE - (ATR * factor)
atr (float) : (float): The value of the atr. Ideally the ATR value at trade open is taken and used for subsequent calculations.
factor (float)
priceSource (float) : (float): The current price.
isLong (bool) : (bool): The current trade direction.
Returns: (bool): A boolean value.
hasGreaterPositionSize(positionSize)
Determines if the strategy's position size has grown since the last bar.
Parameters:
positionSize (float) : (float): The size of the position.
Returns: (bool): A boolean value.
hasSmallerPositionSize(positionSize)
Determines if the strategy's position size has decreased since the last bar.
Parameters:
positionSize (float) : (float): The size of the position.
Returns: (bool): A boolean value.
hasUnchangedPositionSize(positionSize)
Determines if the strategy's position size has changed since the last bar.
Parameters:
positionSize (float) : (float): The size of the position.
Returns: (bool): A boolean value.
exporthasLongPosition(positionSize)
Determines if the strategy has an open long position.
Parameters:
positionSize (float) : (float): The size of the position.
Returns: (bool): A boolean value.
hasShortPosition(positionSize)
Determines if the strategy has an open short position.
Parameters:
positionSize (float) : (float): The size of the position.
Returns: (bool): A boolean value.
hasAnyPosition(positionSize)
Determines if the strategy has any open position, regardless of short or long.
Parameters:
positionSize (float) : (float): The size of the position.
Returns: (bool): A boolean value.
hasSignal(value)
Determines if the given argument contains a valid value (means not 'na').
Parameters:
value (float) : (float): The actual value.
Returns: (bool): A boolean value.
Pullback Setup HelperThe Pullback Setup Helper is a visual tool designed to assist traders in identifying high-probability pullback entry zones in both bullish and bearish trends. It dynamically calculates support and resistance pullback areas using a combination of recent price extremes and ATR-based volatility measures.
The indicator plots two main zones: one for potential long setups beneath recent highs, and another for short setups above recent lows. These zones are derived from configurable multipliers of the ATR to define depth and width, with an additional buffer to allow for slight overshoots or market noise.
Signals are generated when price enters a pullback zone and closes in the direction of the trend, using a relaxed condition (close > previous close for longs, close < previous close for shorts) to increase signal frequency. Entry signals appear as triangles on the chart, with optional alerts available for both long and short scenarios.
This tool is best used as a contextual guide to support trend-continuation trades, particularly when combined with additional confirmation from momentum or volume indicators.
Simulated OI Proxy with Moving Average🧠 Simulated Open Interest (OI) Proxy with Moving Average
This custom TradingView indicator estimates market participation and positioning by simulating Open Interest (OI) using a proxy derived from price change and volume movement — useful especially when OI data is unavailable (e.g., NSE stocks or options).
📊 Concept & Logic:
Since TradingView doesn’t provide real OI data for many symbols (like Indian equities), this script uses a smart proxy:
✅ Simulated OI Conditions:
Long Buildup (Green bar):
Price is rising and volume is increasing → suggests fresh buying.
Short Buildup (Red bar):
Price is falling and volume is increasing → suggests new shorts are entering.
Short Covering (Blue bar):
Price is rising but volume is falling → suggests shorts are exiting positions.
Long Unwinding (Orange bar):
Price is falling and volume is dropping → suggests long positions are closing.
Neutral (Gray):
No strong directional signal.
Each condition is assigned a numeric value for analysis:
Long Buildup = +1
Short Buildup = -1
Short Covering = +0.5
Long Unwinding = -0.5
Neutral = 0
📈 Simulated OI Moving Average (Yellow Line):
To remove short-term noise, we apply a Simple Moving Average (SMA) over the simulated OI values (default: 21 periods). This line helps you:
Identify dominant positioning trends (bullish or bearish).
Use it as a signal filter in your trading strategies.
🔧 Customization:
OI MA Period: Adjust how smooth or reactive the moving average should be.
You can change the logic or combine this with EMA, RSI, or price action tools for a complete trading system.
🔍 Use Cases:
Traders in markets where real OI data is not available (like Indian stocks/options).
To analyze buildup and unwinding behavior without relying on exchange-fed OI.
As a momentum filter or signal enhancer in broader strategies.
📌 Note:
This is a proxy indicator, not a substitute for actual Open Interest. But it’s highly effective when used alongside price action and trend filters.
UTSConvenienceToolsLibrary "UTSConvenienceTools"
Convenience tool library containing helper functions for drawing and charting.
isDarkColor(color)
Determines on base of the luminance of the given color if the color can be considered a 'dark' color. Usefull for determining the readable font color for arbitrary colored backgrounds. Credits out to:
Parameters:
color (color) : (color): The actual color value.
Returns: (bool): A boolean value.
smallLabelLowerRight(txt, yPos, bgColor)
Displays the specified `txt` in a small label at the `yPos` of the current bar. The label points to the lower right.
Parameters:
txt (string)
yPos (float) : (float): The y-position value. To have it positioned above the candle pass 'high'.
bgColor (color) : (color): The background color value.
Returns: (bool): A boolean value.
smallLabelUpperRight(txt, yPos, bgColor)
Displays the specified `txt` in a small label at the `yPos` of the current bar. The label points to the upper right.
Parameters:
txt (string)
yPos (float) : (float): The y-position value. To have it positioned below the candle pass 'low'.
bgColor (color) : (color): The background color value.
Returns: (bool): A boolean value.
smallLabelCenter(txt, yPos, bgColor)
Displays the specified `txt` in a small label at the `yPos` of the current bar. The label points to the center.
Parameters:
txt (string)
yPos (float) : (float): The y-position value. To have it positioned above the candle pass 'high'. To have it positioned below the candle pass 'low'.
bgColor (color) : (color): The background color value.
Returns: (bool): A boolean value.
smallLabelDown(txt, yPos, bgColor)
Displays the specified `txt` in a small label at the `yPos` of the current bar. The label points down.
Parameters:
txt (string)
yPos (float) : (float): The y-position value. To have it positioned above the candle pass 'high'.
bgColor (color) : (color): The background color value.
Returns: (bool): A boolean value.
smallLabelUp(txt, yPos, bgColor)
Displays the specified `txt` in a small label at the `yPos` of the current bar. The label points down.
Parameters:
txt (string)
yPos (float) : (float): The y-position value. To have it positioned below the candle pass 'low'.
bgColor (color) : (color): The background color value.
Returns: (bool): A boolean value.
normalLabelLowerRight(txt, yPos, bgColor)
Displays the specified `txt` in a normal label at the `yPos` of the current bar. The label points to the lower right.
Parameters:
txt (string)
yPos (float) : (float): The y-position value. To have it positioned above the candle pass 'high'.
bgColor (color) : (color): The background color value.
Returns: (bool): A boolean value.
normalLabelUpperRight(txt, yPos, bgColor)
Displays the specified `txt` in a normal label at the `yPos` of the current bar. The label points to the upper right.
Parameters:
txt (string)
yPos (float) : (float): The y-position value. To have it positioned below the candle pass 'low'.
bgColor (color) : (color): The background color value.
Returns: (bool): A boolean value.
normalLabelCenter(txt, yPos, bgColor)
Displays the specified `txt` in a normal label at the `yPos` of the current bar. The label points to the center.
Parameters:
txt (string)
yPos (float) : (float): The y-position value. To have it positioned above the candle pass 'high'. To have it positioned below the candle pass 'low'.
bgColor (color) : (color): The background color value.
Returns: (bool): A boolean value.
normalLabelDown(txt, yPos, bgColor)
Displays the specified `txt` in a normal label at the `yPos` of the current bar. The label points down.
Parameters:
txt (string)
yPos (float) : (float): The y-position value. To have it positioned above the candle pass 'high'.
bgColor (color) : (color): The background color value.
Returns: (bool): A boolean value.
normalLabelUp(txt, yPos, bgColor)
Displays the specified `txt` in a normal label at the `yPos` of the current bar. The label points down.
Parameters:
txt (string)
yPos (float) : (float): The y-position value. To have it positioned below the candle pass 'low'.
bgColor (color) : (color): The background color value.
Returns: (bool): A boolean value.
largeLabelLowerRight(txt, yPos, bgColor)
Displays the specified `txt` in a large label at the `yPos` of the current bar. The label points to the lower right.
Parameters:
txt (string)
yPos (float) : (float): The y-position value. To have it positioned above the candle pass 'high'.
bgColor (color) : (color): The background color value.
Returns: (bool): A boolean value.
largeLabelUpperRight(txt, yPos, bgColor)
Displays the specified `txt` in a large label at the `yPos` of the current bar. The label points to the upper right.
Parameters:
txt (string)
yPos (float) : (float): The y-position value. To have it positioned below the candle pass 'low'.
bgColor (color) : (color): The background color value.
Returns: (bool): A boolean value.
largeLabelCenter(txt, yPos, bgColor)
Displays the specified `txt` in a large label at the `yPos` of the current bar. The label points to the center.
Parameters:
txt (string)
yPos (float) : (float): The y-position value. To have it positioned above the candle pass 'high'. To have it positioned below the candle pass 'low'.
bgColor (color) : (color): The background color value.
Returns: (bool): A boolean value.
largeLabelDown(txt, yPos, bgColor)
Displays the specified `txt` in a large label at the `yPos` of the current bar. The label points down.
Parameters:
txt (string)
yPos (float) : (float): The y-position value. To have it positioned above the candle pass 'high'.
bgColor (color) : (color): The background color value.
Returns: (bool): A boolean value.
largeLabelUp(txt, yPos, bgColor)
Displays the specified `txt` in a large label at the `yPos` of the current bar. The label points down.
Parameters:
txt (string)
yPos (float) : (float): The y-position value. To have it positioned below the candle pass 'low'.
bgColor (color) : (color): The background color value.
Returns: (bool): A boolean value.
autoLabelLowerRight(txt, yPos, bgColor)
Displays the specified `txt` in a auto label at the `yPos` of the current bar. The label points to the lower right.
Parameters:
txt (string)
yPos (float) : (float): The y-position value. To have it positioned above the candle pass 'high'.
bgColor (color) : (color): The background color value.
Returns: (bool): A boolean value.
autoLabelUpperRight(txt, yPos, bgColor)
Displays the specified `txt` in a auto label at the `yPos` of the current bar. The label points to the upper right.
Parameters:
txt (string)
yPos (float) : (float): The y-position value. To have it positioned below the candle pass 'low'.
bgColor (color) : (color): The background color value.
Returns: (bool): A boolean value.
autoLabelCenter(txt, yPos, bgColor)
Displays the specified `txt` in a auto label at the `yPos` of the current bar. The label points to the center.
Parameters:
txt (string)
yPos (float) : (float): The y-position value. To have it positioned above the candle pass 'high'. To have it positioned below the candle pass 'low'.
bgColor (color) : (color): The background color value.
Returns: (bool): A boolean value.
autoLabelDown(txt, yPos, bgColor)
Displays the specified `txt` in a auto label at the `yPos` of the current bar. The label points down.
Parameters:
txt (string)
yPos (float) : (float): The y-position value. To have it positioned above the candle pass 'high'.
bgColor (color) : (color): The background color value.
Returns: (bool): A boolean value.
autoLabelUp(txt, yPos, bgColor)
Displays the specified `txt` in a auto label at the `yPos` of the current bar. The label points down.
Parameters:
txt (string)
yPos (float) : (float): The y-position value. To have it positioned below the candle pass 'low'.
bgColor (color) : (color): The background color value.
Returns: (bool): A boolean value.
[blackcat] L3 Market Pulse InsightOVERVIEW
The L3 Market Pulse Insight provides comprehensive analytics by evaluating key price metrics to reveal critical market sentiment and potential trade opportunities 📊🔍. This advanced indicator leverages proprietary calculations involving Simple Moving Averages (SMAs), Exponential Moving Averages (EMAs), and custom thresholds to deliver detailed insights into current market dynamics 🚀✨.
By plotting various lines representing core fundamentals and directional cues, traders gain visibility into underlying trends and shifts within the market pulse. The visual aids simplify complex data interpretation, making it easier for users to make strategic decisions based on clear, actionable information ✅⛈️.
FEATURES
Advanced Calculation Techniques:
Employs sophisticated formulas integrating SMAs and EMAs for precise trend analysis.
Incorporates fundamental lines and confirmations based on recent price extremes.
Comprehensive Visualization:
Plots multiple informational lines: Fundamental Line, Thresholds, Institutional Directions, etc., each reflecting unique aspects of price behavior.
Uses distinct colors for easy differentiation between bearish and bullish indications.
Customizable Alerts:
Generates "Buy" and "Sell" labels at pivotal moments, highlighting entry/exit points visually.
Offers flexibility to modify alert styles and positions according to user preferences.
Dynamic Adaptability:
Continuously updates plots and alerts based on incoming real-time data for timely responses.
Provides dynamic support/resistance levels adapting to evolving market conditions.
HOW TO USE
Installing the Indicator:
To start using the L3 Market Pulse Insight, add it via the Pine Editor on TradingView:
Open the editor from the bottom panel.
Copy-paste the provided script code.
Click “Add to Chart” after pasting.
Understanding Key Lines:
Familiarize yourself with what each plotted line signifies:
Fundamental Line: Represents core price movements adjusted through SMA transformations.
Low Confirmation & Warnings: Provide early signals about potential reversals or continuation scenarios.
Threshold B: Acts as a significant barrier indicating overbought/sold conditions.
Institutional Directions: Offer insights into larger player activities and intentions.
Interpreting Signals:
Pay close attention to generated "Buy" and "Sell" labels appearing directly on your chart:
"Buy" Label: Indicates favorable momentum crossing from below the confirmation level upwards.
"Sell" Label: Suggests bearish transitions when moving beneath set thresholds.
Adjusting Parameters:
While this version primarily uses default settings derived from optimal testing ranges, feel free to experiment:
Modify lookback periods in SMA/EMA functions if different timeframes align better with your strategy.
Customize plot colors/styles for enhanced readability and personal taste.
Integrating with Other Tools:
Enhance the reliability of signals produced by combining them with complementary indicators like RSI, MACD, or volume profiles for thorough validation.
Continuous Monitoring:
Regularly review performance and refine strategies incorporating insights gathered from L3 Market Pulse Insight across varying markets and assets.
LIMITATIONS
Data Dependency: Performance heavily relies on accurate historical data without anomalies.
Market Conditions Variability: Effectiveness may vary during extreme volatility or thin liquidity environments.
Parameter Fine-Tuning: Optimal configuration might differ significantly across instruments; continuous adjustments are necessary.
No Guarantees: Like any tool, this doesn't ensure profits and should be part of a broader analytical framework.
NOTES
Ensure solid grounding in technical analysis principles before deploying solely upon these insights.
Utilize backtesting rigorously under diverse market cycles to assess robustness thoroughly.
Consider external factors such as economic reports, geopolitical events influencing asset prices beyond purely statistical models.
Maintain discipline adhering predefined risk management protocols regardless of signal strength displayed here.
THANKS
We appreciate every member's contributions who have engaged actively throughout our development journey, offering constructive feedback driving improvements continually 🙏. Together we strive toward creating ever-more robust tools empowering traders worldwide!
NY Reversal Pattern StatsThe NY Reversal Pattern Stats indicator is a tool for identifying and analyzing specific price action patterns that occur during the New York trading session. Its goal is to highlight potential reversal or continuation opportunities that may arise from market manipulation or shifts in volatility within this key market window. Beyond simply identifying patterns, the indicator provides valuable historical statistics on their performance, helping traders evaluate their effectiveness.
Key Features
New York Session Highlighting: Clearly visualizes the defined New York trading session directly on your chart.
Automated Pattern Detection: Automatically detects two types of patterns within the New York session:
Manipulation Wick: Identifies instances where price attempts to push significantly beyond a recent session extreme but is rejected, resulting in a wick with the close returning to the original side.
Low Volatility Reversal: Detects price interaction with a recent session extreme where the resulting candle shows lower-than-average volatility, suggesting potential exhaustion or a reversal point.
Pattern Confirmation Tracking: Tracks whether a detected pattern leads to a follow-through move based on a defined confirmation rule (currently, price returning to the session midpoint).
Comprehensive Statistics Table: Displays a detailed table on the chart summarizing:
Total patterns observed.
Number of patterns that were confirmed.
Success and failure rates.
Maximum losing streak.
Statistical relevance metrics (Sigma, Z-Score, P-value) to help assess if the observed success rate is likely due to chance.
A clear description interpreting the statistical relevance and pattern performance (more often right/wrong).
Customizable Visuals: Allows users to control the appearance of the session background and pattern labels.
Alerts: Provides options to set alerts when a new pattern is detected or when a detected pattern is confirmed.
How to Use the Indicator
Add to Chart: Apply the "NY Reversal Pattern Stats" indicator to your desired chart in TradingView.
Configure Inputs: Open the indicator's settings to customize the parameters:
Session Time Definition: Set the exact start hour, minute, and duration (in hours) for the New York session you wish to analyze. Use the "NY Time" inputs (e.g., 6:00 AM - 10:00 AM for Indices, 5:00 AM - 9:00 AM for Forex). The indicator uses the "America/New_York" timezone to handle Daylight Saving Time.
NY Session Visuals: Choose whether to display the session background and pattern labels, and customize their colors.
Pattern Detection: Adjust the sensitivity of the Manipulation Wick threshold and configure the settings for the Low Volatility Reversal pattern detection (enable/disable, ATR length, volatility factor).
Confirmation: Enable or disable the session midpoint confirmation criterion.
Show Statistics Table: Toggle the visibility of the statistics table.
Interpret the Chart: Observe the highlighted New York session windows and the labels indicating detected and confirmed patterns.
Analyze the Statistics Table: Refer to the statistics table for historical performance data.
Total Patterns: Indicates the sample size. More patterns generally lead to more statistically reliable results.
Confirmed/Failed: Shows the raw counts of successful and unsuccessful patterns based on the confirmation rule.
Success/Fail Rate (%): Provides the percentage of patterns that met or did not meet the confirmation criterion.
Statistical Relevance: Read the description provided in the table. It interprets the Z-Score and sample size to tell you if the observed success rate is statistically significant (i.e., unlikely to be just random chance).
Pattern Performance: Read the description indicating whether the pattern has historically been "More often right than wrong" or "More often wrong than right" based on the success rate.
Sigma / Z-Score / P-value: These are standard statistical measures. A higher absolute Z-Score and a lower P-value (especially below 0.05 or 0.01) suggest stronger statistical evidence that the pattern's success rate is different from a random 50/50 outcome.
Set Alerts: If desired, configure alerts to be notified when patterns are detected or confirmed, allowing you to potentially take action in real-time.
Interpretation of Results
High Success Rate + High Statistical Relevance: This combination suggests the detected pattern, as defined and confirmed by the indicator, has historically shown a consistent edge within the specified New York session window, and this performance is unlikely due to random chance.
High Success Rate + Low Statistical Relevance: The pattern has performed well in the observed data, but the sample size might be too small for high confidence that this performance will continue.
Low Success Rate + High Statistical Relevance: The pattern, as defined, has historically shown a tendency to fail more often than succeed, and this underperformance is statistically significant.
Low Statistical Relevance (Regardless of Success Rate): The sample size is insufficient to draw strong conclusions about the pattern's effectiveness. More historical data is needed.
Remember that past performance is not indicative of future results. Statistical analysis provides insights into historical tendencies, but trading decisions should always involve a comprehensive analysis and risk management plan.
Limitations
Timeframe Dependency: The pattern detection and session high/low accumulation operate on the chart's current timeframe. It does not specifically analyze only the 4-hour candles as might be implied by "4H Candle Profiling Patterns".
Confirmation Criterion: The confirmation rule is fixed to price returning to the session midpoint. If your strategy uses a different confirmation or target, this indicator's statistics may not directly reflect its performance.
No London/Asia Filter: The indicator does not check the performance or characteristics of the London or Asia sessions to filter for instances where "London and Asia Fail".
Potential Timezone Compiler Issues: While the code uses standard v6 timezone handling, some specific TradingView environments may exhibit unexpected behavior with timezone strings, potentially affecting the precise timing of the session boundaries.
This indicator is a powerful tool for analyzing specific price action patterns during the New York session. By understanding its inputs, outputs, and limitations, traders can gain valuable insights into potential trading opportunities.
[blackcat] L2 Market Risk MeterOVERVIEW
The L2 Market Risk Meter is designed to evaluate market conditions using various technical indicators including Moving Averages (MA), Moving Average Convergence Divergence (MACD), and Bollinger Bands 📈🔍. By analyzing these elements, the script helps traders identify potential buying opportunities and assess the overall market sentiment more effectively. This comprehensive approach aids in making informed trading decisions by providing clear visual representations of critical market factors 🚀💸.
Key components include the calculation of short-term and long-term moving averages, MACD lines, and Bollinger Bands, which are then used to plot histograms and labels directly on the chart. These visual cues assist traders in quickly interpreting complex market data, thereby enhancing their ability to navigate volatile markets and capitalize on emerging trends ✅✨.
FEATURES
Advanced Technical Analysis:
Utilizes Short and Long Moving Averages (MAs) to capture different trend durations.
Implements MACD for detecting changes in the strength, direction, momentum, and duration of a trend.
Incorporates Bollinger Bands to measure volatility and provide dynamic support/resistance levels.
Comprehensive Visualization:
Generates colored histograms representing positive and negative MACD values.
Displays labels indicating "Safe," "Risk," and "Buy" signals at crucial points on the chart.
Flexible Settings:
Allows customization of the short_ma_period and long_ma_period to tailor the analysis to individual trading styles or asset types.
Provides configurable colors and styles for histograms and labels to suit personal preferences.
Real-Time Feedback:
Updates dynamically as new price data becomes available, ensuring timely insights.
Facilitates rapid identification of shifts in market conditions through clear graphical outputs.
HOW TO USE
Adding the Indicator:
Begin by adding the L2 Market Risk Meter to your chart on TradingView. You can do this via the "Pine Editor" located at the bottom of the screen. Simply copy-paste the script into the editor and click "Add to Chart."
Configuring Parameters:
Adjust the short_ma_period and long_ma_period inputs based on your preferred timeframes and strategies. For example, shorter periods will react faster but may be noisier, while longer periods offer smoother trends but slower reactions.
Interpreting Histograms:
Monitor the plotted histograms closely:
Positive Values: Represent bullish momentum where the closing prices are higher than the moving average.
Negative Values: Suggest bearish pressure when the closing prices fall below the moving average.
Understanding Labels:
Pay attention to generated labels for actionable insights:
"Safe" Zone: Appears when the price crosses from below to above the lower Bollinger Band, suggesting reduced risk.
"Risk" Zone: Indicates heightened caution if the price breaches upward from below the upper Bollinger Band.
"Buy" Signal: Triggered under stringent bullish conditions combining all predefined criteria, signaling an opportune moment to enter long positions.
Integrating with Other Tools:
Use the L2 Market Risk Meter alongside other technical studies and fundamental analyses to corroborate findings and strengthen your trading strategy.
Regular Review:
Periodically revisit and tweak your parameters and interpretations in light of changing market environments and performance evaluations.
LIMITATIONS
Dependency on Historical Data: Since the indicator relies extensively on historical price movements, its predictions about future trends should be viewed cautiously.
Not Standalone Solution: Like any other tool, it does not guarantee profitability and must be part of a holistic trading plan that includes multiple confirmation methods.
Parameter Sensitivity: Optimal performance depends greatly on selecting appropriate MA period lengths; improper choices could lead to misleading signals.
Volatility Assumptions: The effectiveness of Bollinger Bands varies across different market conditions, especially during low volatility phases where bands might fail to expand significantly.
NOTES
Understanding individual components such as MAs, MACDs, and Bollinger Bands is essential before fully depending on this script's output.
Always backtest any new strategy incorporating this meter thoroughly against diverse market scenarios to gauge reliability.
Consider employing supplementary filters like volume spikes or candlestick patterns to validate signals further.
Be mindful of sudden news events or economic releases impacting asset prices independently of underlying trends highlighted here.
THANKS
A big thank you goes out to fellow members of the TradingView community who have contributed invaluable feedback and suggestions throughout the development process of this indicator 🙏. Your input has been instrumental in refining and improving the functionality and usability of the L2 Market Risk Meter. Continue sharing your experiences so we can collectively enhance our trading capabilities!
