LBB + RSI Multi-Level + Compact TableBB and RSI scalping script for daily or scalp zone with signals
震盪指標
Universal Valuation | Lyro RSUniversal Valuation
⚠️Disclaimer: This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Overview
The Universal Valuation indicator helps identify whether the market is undervalued/cheap or overvalued/expensive. And another mode this indicator offers is This cutting-edge tool works flawlessly ACROSS ALL TIMEFRAMES & TICKERS/CHARTS.
By combining regular TradingView indicators & some of our valuation indicators basic/simple with advanced statistical functions, this indicator offers a powerful, universal valuation tool.
Key Features
INPUTS: The Universal Valuation indicator offers flexibility through its customizable input sections. The "Indicator Settings" let you adjust lengths for the raw indicators and statistical functions. The "Signals" section defines thresholds for background color changes, helping you visually spot key market moments. The "Colors" section allows you to pick from pre-defined schemes or personalize colors for better clarity. Lastly, the "Tables" section gives you full control over the UV table’s size and positioning, including options to overlay it on the chart or place it in the allocated space.
A DEEPER INSIGHT: This indicator is built around three distinct categories: "UVM Andromeda," "UVM Sentinel," and "UVM Nexus." Each category has three different drivers. The statistical function powering this indicator is the Z-score. The Z-score is an incredibly powerful tool that helps determine if the market is overvalued/expensive or undervalued/cheap, offering critical insights for traders."
Plotting: The plotted value represents the average of all the drivers. In other words, it is the combined average of all 9 Z-scored indicators, providing a balanced and comprehensive market valuation.
What is Z-score? & Why does this system use it?
Z-score is an advanced statistical function used to measure how far a value deviates from the average in a data set. The formula for Z-score is: (x - h) / o, where x is the observed value, h is the average (mean) of the data set, and o is the standard deviation.
This system uses the Z-score because it helps determine whether the market is overvalued or undervalued based on historical data and how we apply the calculation. By measuring how far a value deviates from the average, the Z-score provides a clearer and more objective valuation of market conditions. In our case, a Z-score of -3 indicates an undervalued market, while a Z-score of 3 signals an overvalued market.
UVM Andromeda:
UVM stands for Universal Valuation Model, which is the core of this indicator. Andromeda, one of the most stunning galaxies in the universe, inspired by its name. We chose this name because a powerful indicator should not only be effective but also visually appealing.
You might be wondering what drives UVM Andromeda. The three key drivers are Price, RSI, and ROC. These indicators are pre-defined, while the "Indicator Settings" allow you to adjust the length of the Z-score calculation, refining how the model analyzes market conditions.
UVM Sentinel:
Sentinel, refers to a guard or watchman, someone or something that keeps watch and provides protection. In our case this name refers to a model that actively observes market conditions, acting as a vigilant tool that signals important shifts in valuation.
Wondering what drives UVM Sentinel? The three key drivers are BB%, CCI, and Crosby. While these indicators are simple on their own, applying our Z-score function elevates them to a whole new level, enhancing their ability to detect market conditions with greater accuracy.
UVM Nexus:
We chose the name Nexus simply because it sounds cool—there’s no deeper meaning behind it for us. However, the word itself does have a meaning; it refers to a connection or link between multiple things.
The three key drivers for UVM Nexus are the Sharpe, Sortino, and Omega ratios. These are all asset performance metrics, but by applying the Z-score, we transform them into powerful valuation indicators/drivers, giving you a deeper insight into market conditions.
Why do we use 9 different indicators instead of 1?
That's a great question, and the answer is quite simple. Think of it like this: if you have one super soldier, and they miss a shot, it’s game over. But if you have many soldiers, even if one misses, the others can step in and take the shot. The strength of using multiple indicators lies in their collective power – if one misses, the others still provide valuable insights, making the overall system more reliable.
Final Thoughts:
In our Universal Valuation indicator, you have the flexibility to customize it however you like using our inputs. The system is divided into three distinct categories, with each category containing three indicators. The value plotted on the chart is the average of all nine indicators. We apply the Z-score, an advanced statistical function, to each of these nine indicators. The final plotted average is the average of all the Z-scores, giving you a comprehensive and refined market valuation. This indicator can work on any timeframe & chart ticker.
Momentum-Reversal System Signals Pro
Momentum-Reversal System Signals Pro
Overview
A sophisticated signaling system designed to identify high-probability trend-following entries after a price pullback. This indicator is optimized for index futures like the S&P 500 (ES/SPX) on a 5-minute timeframe .
It performs best during periods of established trends and lower volatility. To aid in this, the indicator includes a customizable "No-Trade Zone" highlighter, which is pre-set to the often volatile 8:30 AM - 11:30 AM EST market open. While the default settings are robust and effective in most conditions, the indicator is fully customizable to suit your specific trading style.
How It Works
The core logic is based on a three-step process to filter for high-quality setups:
Trend Confirmation: The script first establishes the overall market direction using an EMA on a higher timeframe (15-minute by default). This ensures you are only looking for trades that align with the dominant trend.
Pullback Detection: Once the trend is confirmed, the script waits for the price to pull back to a dynamic area of value on the main chart (5-minute by default). This "pullback zone" is defined by the 5m EMA and an ATR-based channel around it, which adapts to current market volatility.
Momentum Entry: After a valid pullback occurs, the script waits for a clear sign that momentum is returning in the direction of the primary trend. This is confirmed by a combination of a MACD crossover and a strong RSI reading, signaling that the pullback has likely ended and the trend is ready to resume.
Advanced Quality Filters
What makes this indicator powerful is its multi-layered filtering system designed to weed out low-probability signals and avoid choppy market conditions.
Trend Strength: It doesn't just check the trend direction; it measures the slope of the 15m EMA to ensure the trend has sufficient strength. This is a key filter for avoiding flat, sideways markets.
Momentum Confirmation: An RSI "Dead Zone" around the 50-level ensures that the RSI shows decisive momentum before a signal is generated.
Signal Cooldown: A built-in timer ( Min Bars Between Signals ) prevents the same signal from firing repeatedly in a short period, reducing noise and over-trading.
RSI Volatility: The script checks that the RSI itself is not flat, which is often a sign of market indecision and a precursor to chop.
Pullback Quality: An optional filter ensures that by the time the signal fires, the price has already moved back to the "correct" side of the 5m EMA, confirming the reversal's strength.
Volatility Filter: A crucial risk management filter that blocks signals on abnormally large, high-risk "gasoline" bars that could lead to immediate stops.
How To Use
For Long Signals (Green 'Long' Tag):
Look for the 15m EMA to be green and trending upwards.
Wait for price to pull back towards the orange 5m EMA.
A "Long" signal appears when momentum indicators confirm a reversal back in the direction of the trend.
For Short Signals (Red 'Short' Tag):
Look for the 15m EMA to be red and trending downwards.
Wait for price to pull back towards the orange 5m EMA.
A "Short" signal appears when momentum indicators confirm a reversal back in the direction of the trend.
This tool provides high-probability signals, not guarantees. It is designed to be a core component of a complete trading plan. Always use proper risk management and confluence from your own analysis.
Fine-Tuning & Customization
All settings are fully adjustable in the script's "Inputs" tab to match your risk tolerance and market conditions.
Timeframe & EMA Settings: Adjust the core moving averages that define the trend and pullback zones.
Pullback Settings: Define what constitutes a valid pullback by adjusting the lookback period and the size of the ATR-based "near" zone.
Quality Filters: This is the most important section for tailoring the script's strictness. Increase the EMA Slope, RSI Dead Zone, or Signal Cooldown to receive fewer but potentially higher-quality signals.
Advanced Filters: Enable or disable the Pullback Quality and Volatility filters for an extra layer of confirmation or risk management.
No-Trade Zone Highlighter: Adjust the session and timezone to highlight periods you wish to avoid, such as news events or low-liquidity hours.
Happy trading, and please use this tool responsibly.
MACD Liquidity Tracker Strategy [Quant Trading]MACD Liquidity Tracker Strategy
Overview
The MACD Liquidity Tracker Strategy is an enhanced trading system that transforms the traditional MACD indicator into a comprehensive momentum-based strategy with advanced visual signals and risk management. This strategy builds upon the original MACD Liquidity Tracker System indicator by TheNeWSystemLqtyTrckr , converting it into a fully automated trading strategy with improved parameters and additional features.
What Makes This Strategy Original
This strategy significantly enhances the basic MACD approach by introducing:
Four distinct system types for different market conditions and trading styles
Advanced color-coded histogram visualization with four dynamic colors showing momentum strength and direction
Integrated trend filtering using 9 different moving average types
Comprehensive risk management with customizable stop-loss and take-profit levels
Multiple alert systems for entry signals, exits, and trend conditions
Flexible signal display options with customizable entry markers
How It Works
Core MACD Calculation
The strategy uses a fully customizable MACD configuration with traditional default parameters:
Fast MA : 12 periods (customizable, minimum 1, no maximum limit)
Slow MA : 26 periods (customizable, minimum 1, no maximum limit)
Signal Line : 9 periods (customizable, now properly implemented and used)
Cryptocurrency Optimization : The strategy's flexible parameter system allows for significant optimization across different crypto assets. Traditional MACD settings (12/26/9) often generate excessive noise and false signals in volatile crypto markets. By using slower, more smoothed parameters, traders can capture meaningful momentum shifts while filtering out market noise.
Example - DOGE Optimization (45/80/290 settings) :
• Performance : Optimized parameters yielding exceptional backtesting results with 29,800% PnL
• Why it works : DOGE's high volatility and social sentiment-driven price action benefits from heavily smoothed indicators
• Timeframes : Particularly effective on 30-minute and 4-hour charts for swing trading
• Logic : The very slow parameters filter out noise and capture only the most significant trend changes
Other Optimizable Cryptocurrencies : This parameter flexibility makes the strategy highly effective for major altcoins including SUI, SEI, LINK, Solana (SOL) , and many others. Each crypto asset can benefit from custom parameter tuning based on its unique volatility profile and trading characteristics.
Four Trading System Types
1. Normal System (Default)
Long signals : When MACD line is above the signal line
Short signals : When MACD line is below the signal line
Best for : Swing trading and capturing longer-term trends in stable markets
Logic : Traditional MACD crossover approach using the signal line
2. Fast System
Long signals : Bright Blue OR Dark Magenta (transparent) histogram colors
Short signals : Dark Blue (transparent) OR Bright Magenta histogram colors
Best for : Scalping and high-volatility markets (crypto, forex)
Logic : Leverages early momentum shifts based on histogram color changes
3. Safe System
Long signals : Only Bright Blue histogram color (strongest bullish momentum)
Short signals : All other colors (Dark Blue, Bright Magenta, Dark Magenta)
Best for : Risk-averse traders and choppy markets
Logic : Prioritizes only the strongest bullish signals while treating everything else as bearish
4. Crossover System
Long signals : MACD line crosses above signal line
Short signals : MACD line crosses below signal line
Best for : Precise timing entries with traditional MACD methodology
Logic : Pure crossover signals for more precise entry timing
Color-Coded Histogram Logic
The strategy uses four distinct colors to visualize momentum:
🔹 Bright Blue : MACD > 0 and rising (strong bullish momentum)
🔹 Dark Blue (Transparent) : MACD > 0 but falling (weakening bullish momentum)
🔹 Bright Magenta : MACD < 0 and falling (strong bearish momentum)
🔹 Dark Magenta (Transparent) : MACD < 0 but rising (weakening bearish momentum)
Trend Filter Integration
The strategy includes an advanced trend filter using 9 different moving average types:
SMA (Simple Moving Average)
EMA (Exponential Moving Average) - Default
WMA (Weighted Moving Average)
HMA (Hull Moving Average)
RMA (Running Moving Average)
LSMA (Least Squares Moving Average)
DEMA (Double Exponential Moving Average)
TEMA (Triple Exponential Moving Average)
VIDYA (Variable Index Dynamic Average)
Default Settings : 50-period EMA for trend identification
Visual Signal System
Entry Markers : Blue triangles (▲) below candles for long entries, Magenta triangles (▼) above candles for short entries
Candle Coloring : Price candles change color based on active signals (Blue = Long, Magenta = Short)
Signal Text : Optional "Long" or "Short" text inside entry triangles (toggleable)
Trend MA : Gray line plotted on main chart for trend reference
Parameter Optimization Examples
DOGE Trading Success (Optimized Parameters) :
Using 45/80/290 MACD settings with 50-period EMA trend filter has shown exceptional results on DOGE:
Performance : Backtesting results showing 29,800% PnL demonstrate the power of proper parameter optimization
Reasoning : DOGE's meme-driven volatility and social sentiment spikes create significant noise with traditional MACD settings
Solution : Very slow parameters (45/80/290) filter out social media-driven price spikes while capturing only major momentum shifts
Optimal Timeframes : 30-minute and 4-hour charts for swing trading opportunities
Result : Exceptionally clean signals with minimal false entries during DOGE's characteristic pump-and-dump cycles
Multi-Crypto Adaptability :
The same optimization principles apply to other major cryptocurrencies:
SUI : Benefits from smoothed parameters due to newer coin volatility patterns
SEI : Requires adjustment for its unique DeFi-related price movements
LINK : Oracle news events create price spikes that benefit from noise filtering
Solana (SOL) : Network congestion events and ecosystem developments need smoothed detection
General Rule : Higher volatility coins typically benefit from very slow MACD parameters (40-50 / 70-90 / 250-300 ranges)
Key Input Parameters
System Type : Choose between Fast, Normal, Safe, or Crossover (Default: Normal)
MACD Fast MA : 12 periods default (no maximum limit, consider 40-50 for crypto optimization)
MACD Slow MA : 26 periods default (no maximum limit, consider 70-90 for crypto optimization)
MACD Signal MA : 9 periods default (now properly utilized, consider 250-300 for crypto optimization)
Trend MA Type : EMA default (9 options available)
Trend MA Length : 50 periods default (no maximum limit)
Signal Display : Both, Long Only, Short Only, or None
Show Signal Text : True/False toggle for entry marker text
Trading Applications
Recommended Use Cases
Momentum Trading : Capitalize on strong directional moves using the color-coded system
Trend Following : Combine MACD signals with trend MA filter for higher probability trades
Scalping : Use "Fast" system type for quick entries in volatile markets
Swing Trading : Use "Normal" or "Safe" system types for longer-term positions
Cryptocurrency Trading : Optimize parameters for individual crypto assets (e.g., 45/80/290 for DOGE, custom settings for SUI, SEI, LINK, SOL)
Market Suitability
Volatile Markets : Forex, crypto, indices (recommend "Fast" system or smoothed parameters)
Stable Markets : Stocks, ETFs (recommend "Normal" or "Safe" system)
All Timeframes : Effective from 1-minute charts to daily charts
Crypto Optimization : Each major cryptocurrency (DOGE, SUI, SEI, LINK, SOL, etc.) can benefit from custom parameter tuning. Consider slower MACD parameters for noise reduction in volatile crypto markets
Alert System
The strategy provides comprehensive alerts for:
Entry Signals : Long and short entry triangle appearances
Exit Signals : Position exit notifications
Color Changes : Individual histogram color alerts
Trend Conditions : Price above/below trend MA alerts
Strategy Parameters
Default Settings
Initial Capital : $1,000
Position Size : 100% of equity
Commission : 0.1%
Slippage : 3 points
Date Range : January 1, 2018 to December 31, 2069
Risk Management (Optional)
Stop Loss : Disabled by default (customizable percentage-based)
Take Profit : Disabled by default (customizable percentage-based)
Short Trades : Disabled by default (can be enabled)
Important Notes and Limitations
Backtesting Considerations
Uses realistic commission (0.1%) and slippage (3 points)
Default position sizing uses 100% equity - adjust based on risk tolerance
Stop-loss and take-profit are disabled by default to show raw strategy performance
Strategy does not use lookahead bias or future data
Risk Warnings
Past performance does not guarantee future results
MACD-based strategies may produce false signals in ranging markets
Consider combining with additional confluences like support/resistance levels
Test thoroughly on demo accounts before live trading
Adjust position sizing based on your risk management requirements
Technical Limitations
Strategy does not work on non-standard chart types (Heikin Ashi, Renko, etc.)
Signals are based on close prices and may not reflect intraday price action
Multiple rapid signals in volatile conditions may result in overtrading
Credits and Attribution
This strategy is based on the original "MACD Liquidity Tracker System" indicator created by TheNeWSystemLqtyTrckr . This strategy version includes significant enhancements:
Complete strategy implementation with entry/exit logic
Addition of the "Crossover" system type
Proper implementation and utilization of the MACD signal line
Enhanced risk management features
Improved parameter flexibility with no artificial maximum limits
Additional alert systems for comprehensive trade management
The original indicator's core color logic and visual system have been preserved while expanding functionality for automated trading applications.
Iambuoyant High Win Rate TraderIambuoyant High Win Rate Trader (Debug Signals) - Indicator Description
Introduction
The "Iambuoyant High Win Rate Trader" is a comprehensive Pine Script indicator designed to identify high-probability trading opportunities across various market conditions. Built with a multi-faceted approach, it integrates several key technical analysis concepts to provide robust buy and sell signals, aiming to maximize potential returns while managing risk. This indicator is particularly useful for traders looking for confirmed entries based on a confluence of factors rather than relying on a single signal.
Strategies Used
This indicator employs a sophisticated combination of strategies, each contributing to a stronger signal when aligned:
Trend Analysis:
Multiple EMAs: It utilizes three Exponential Moving Averages (EMAs) – a fast, slow, and a longer-term trend EMA – to establish the prevailing market direction. Signals are filtered to align with this identified trend, enhancing their probability of success.
Trend Alignment: Confirms that price action is consistent with the established EMA trend, ensuring trades are taken in the direction of momentum.
Oscillator Confirmation:
Relative Strength Index (RSI): Employs RSI to identify overbought and oversold conditions, with a specific focus on the RSI turning away from extreme levels, suggesting a potential reversal or continuation point.
Stochastic Oscillator: Similar to RSI, the Stochastic Oscillator is used to pinpoint overbought and oversold zones, with additional confirmation from the %K and %D lines crossing or turning.
Momentum and Divergence (MACD):
Moving Average Convergence Divergence (MACD): The indicator analyzes MACD line and signal line crossovers, alongside histogram movement, to gauge momentum shifts and potential trade entries.
Volume Analysis:
Volume Confirmation: Integrates volume analysis by comparing current volume to a Volume Moving Average. Higher-than-average volume during a signal can confirm conviction behind the price move.
Market Structure and Volatility:
Support and Resistance (S/R) Levels: Dynamic support and resistance levels are identified using pivot points. These levels are used to inform potential stop-loss placements and to ensure trades aren't initiated directly into strong opposing S/R zones.
Average True Range (ATR): ATR is used to measure market volatility, which helps in adjusting trade sizing and stop-loss distances. A volatility filter is included to prevent trades in excessively choppy or illiquid conditions.
Risk Management:
Dynamic Stop Loss: The indicator attempts to identify logical stop-loss levels based on recent price action or nearby support/resistance.
Risk:Reward Ratio Filtering: A configurable minimum Risk:Reward ratio ensures that only trades with a favorable potential return relative to the risk are considered, promoting disciplined trading.
Signal Confirmation:
Confirmation Bars: An optional confirmBars input allows for signals to be confirmed over a specified number of bars, reducing false positives by waiting for price action to sustain the initial signal. (Note: For debugging, this is often set to 0 for immediate signals.)
How to Use the Indicator
Add to Chart: Apply the "Iambuoyant High Win Rate Trader (Debug Signals)" indicator to your desired chart in TradingView. It's an overlay indicator, meaning it will plot directly on your price chart.
Understand the Signals:
Buy Signals (Green Triangles/Labels): Appear below the price bars, indicating a potential long entry.
Sell Signals (Red Triangles/Labels): Appear above the price bars, indicating a potential short entry.
"Flash" Signals: Smaller, colored triangles indicate the immediate bar where the signal conditions are first met.
"Confirmed" Signals: Larger, shaded triangles with labels indicate that the signal has passed the confirmBars criteria (if confirmBars is set to greater than 0).
Utilize Debugging Features (Crucial for Optimization):
Access Inputs: Open the indicator's settings by clicking the gear icon next to its name on the chart.
"Signal Components (Debugging)" Section: This is the most powerful feature for tailoring the indicator to your needs.
Initial Setup: When first applying the indicator or if signals are too rare, start by setting most "Enable X Condition" toggles to false, potentially leaving only one or two simple conditions (e.g., "Enable RSI Condition" or "Enable Trend Alignment") as true. This will force signals to appear, allowing you to confirm the plotting mechanism works.
Gradual Re-enabling: Once you see signals, gradually re-enable one "Enable X Condition" at a time.
Observe Debug Plots (Lower Pane): Below your main chart, the indicator plots colored columns (e.g., "Debug: RSI Bull", "Debug: MACD Bear"). These show when each individual component of the long/short signal is true (1 or 2) or false (0 or na). The "Debug: Final Long Signal" and "Debug: Final Short Signal" plots show when the combined signal conditions are met.
Identify Bottlenecks: If signals disappear after enabling a new condition, observe its corresponding debug plot. If it's frequently 0 when other conditions are 1, you've found a bottleneck.
Adjust Parameters: For bottlenecks, go back to the relevant input section (e.g., "Oscillators," "Market Structure," "Signal Quality") and adjust parameters (e.g., rsiOB/rsiOS, stochOB/stochOS, volatilityFilter, minRRRatio) to be less strict until signals appear at your desired frequency. Alternatively, you may decide to leave that specific condition disabled if it's too restrictive for your strategy.
Configure Display Options: Use the "Display" group in the inputs to toggle the visibility of labels, support/resistance lines, and EMA trend lines on your chart.
Set Up Alerts: The indicator includes built-in alert conditions for "Confirmed Buy Signal" and "Confirmed Sell Signal." You can set up alerts in TradingView to be notified instantly when these signals occur, allowing you to monitor the market without constant chart watching.
[Top] Unified Divergence DetectorThe Unified Divergence Detector (UDD) is a powerful tool designed to identify both regular and hidden divergences across multiple oscillators—RSI, CCI, and Stochastic—in a single unified indicator.
Unlike other divergence tools that focus on one source at a time, this script cross-checks multiple indicators simultaneously and consolidates the results into a single signal. Labels appear only when at least one divergence is detected, with optional color-coding to distinguish the number and type of divergences:
🐂 Bullish Divergence: Signals a potential reversal or continuation to the upside.
🐻 Bearish Divergence: Signals a potential reversal or continuation to the downside.
The script lets users configure:
Whether to detect regular, hidden, or both types of divergence.
Pivot lookback parameters and divergence detection range.
Separate label colors for 1, 2, or 3+ confirmations from different indicators.
Tooltips are dynamically generated and offer guidance on interpreting each signal based on the oscillator sources involved and the divergence type. Labels are intelligently placed to avoid clutter and display only the strongest, most relevant signals.
⸻
Potential Uses
Trend Reversals: Spot early signs of exhaustion and prepare for a trend change.
Trend Continuations: Confirm existing trends via hidden divergence signals.
Multi-Timeframe Confirmation: Combine this indicator with higher timeframe trend tools to validate entries or exits.
Custom Strategy Building: Integrate into more complex strategies involving price action or volume filters.
⸻
This indicator is ideal for traders who value confirmation from multiple sources and prefer clear, high-confidence signals over constant alerts. It works well across all timeframes and asset classes.
Rsi By Moshi MTF (1H Fixed)This script is a custom multi-timeframe RSI indicator called "Rsi By Moshi MTF (1H Fixed)". It combines RSI signals from the current timeframe (e.g. M15) with confirmation from the 1-hour RSI trend to generate buy/sell signals.
Main Features:
Calculates RSI, EMA, and WMA on the current chart timeframe.
Fetches real-time and previous RSI values from the 1-hour timeframe.
Generates buy signals when RSI crosses above its EMA and 1H RSI is rising.
Generates sell signals when RSI crosses below its EMA and 1H RSI is falling.
Offers optional horizontal RSI bands at key levels (20–80) for visual guidance.
Plots RSI, EMA, WMA, and triangle markers for buy/sell signals.
Includes built-in alert conditions for automation or notifications.
Apex Edge - RSI Trend LinesThe Apex Edge - RSI Trend Lines indicator is a precision tool that automatically draws real-time trendlines on the RSI oscillator using confirmed pivot highs and lows. These dynamic trendlines track RSI structure in motion, helping you anticipate breakout zones, reversals, and hidden divergences.
Every time a new pivot forms, the indicator automatically re-draws the RSI trendline between the two most recent pivots — giving you an always-current view of momentum structure. You’ll instantly see when RSI begins compressing or expanding, long before price reacts.
Key Features: • Dynamic RSI trendlines drawn from the last 2 pivots
• Auto re-draws in real-time as new pivots form
• Optional "Full Extend" or "Pivot Only" modes
• Slope color-coded: green = support, red = resistance
• Built-in dotted RSI levels (30/70 default)
• Alert conditions for RSI trendline breakout signals
• Ideal for spotting divergence, compression, and early SMC confluence
This is not your average RSI — it’s a fully reactive momentum edge overlay designed to give you clarity, structure, and timing from within the oscillator itself. Perfect for traders using Smart Money Concepts, divergence setups, or algorithmic trend tracking.
⚔️ Built for precision. Built for edge. Built for Apex.
Volatility Breakout Strategy W15_T2.0# How to Use This Indicator
## **Setup Instructions:**
**Adjust parameters** as needed:
- **Volatility Window**: 15 (default) for 15-period volatility calculation
- **Volatility Threshold**: 2.0 (default) for 2x volatility spike trigger
- **Price Direction Periods**: 5 (default) for trend direction detection
### **What You'll See:**
- **🟢 Green UP arrows**: BUY signals (high volatility + upward price movement)
- **🔴 Red DOWN arrows**: SELL signals (high volatility + downward price movement)
- **🟠 Orange circles**: EXIT signals (volatility cooled down)
- **🟨 Yellow background**: High volatility periods (above threshold)
- **📊 Info table**: Real-time volatility metrics (top-right corner)
### **Signal Logic:**
- **Entry**: When volatility ratio ≥ 2.0x AND price direction is clear
- **Exit**: When volatility ratio drops below 1.4x (70% of threshold)
- **Direction**: Based on 5-period price change
### **Best Timeframes:**
- **1-minute**: Very sensitive, many signals
- **5-minute**: Balanced (matches your original analysis)
- **15-minute**: Less frequent but higher quality signals
### **Alert Setup:**
The indicator includes built-in alerts for:
- Buy signals
- Sell signals
- Exit signals
Supertrend Scannernew one more script to scan stock based on buy or sell signal as per super trend strategy.
Custom Buy Signal Indicator//@version=5
indicator("Custom Buy Signal Indicator", overlay=true)
// INPUTS
emaLength = input.int(9, title="EMA Length")
supertrendLength = input.int(10, title="SuperTrend Length")
supertrendFactor = input.float(2.0, title="SuperTrend Factor")
keltnerLength = input.int(20, title="Keltner Channel Length")
keltnerMult = input.float(1.0, title="Keltner Multiplier")
avgVolLength = input.int(20, title="Average Volume Length")
// CALCULATIONS
price = close
ema9 = ta.ema(price, emaLength)
// Condition 1: Price Crosses Above 9 EMA
crossAboveEMA = ta.crossover(price, ema9)
// Condition 2: Price is above central pivot line (previous day)
pivotCentral = (high + low + close ) / 3
abovePivot = price > pivotCentral
// Condition 3: SuperTrend
= ta.supertrend(supertrendFactor, supertrendLength)
aboveSupertrend = price > supertrend
// Condition 4: VWAP
vwapLine = ta.vwap
aboveVWAP = price > vwapLine
// Condition 5: Above middle line of Keltner Channel
basisKC = ta.ema(price, keltnerLength)
rangeKC = ta.ema(high - low, keltnerLength)
upperKC = basisKC + keltnerMult * rangeKC
lowerKC = basisKC - keltnerMult * rangeKC
middleKC = basisKC
aboveKCmiddle = price > middleKC
// Condition 6: Above average volume
avgVol = ta.sma(volume, avgVolLength)
aboveAvgVol = volume > avgVol
// Combine all conditions
buySignal = crossAboveEMA and abovePivot and aboveSupertrend and aboveVWAP and aboveKCmiddle and aboveAvgVol
// Plotting
plotshape(buySignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
// Optional: Display Indicators
plot(ema9, title="EMA 9", color=color.orange)
plot(supertrend, title="SuperTrend", color=color.green)
plot(vwapLine, title="VWAP", color=color.blue)
plot(middleKC, title="KC Middle", color=color.purple)
EMA Slope AngleTo help you find out how good is the current trend.If its positive look for longs and vise versa
MI-Momentum PinballMomentum Pinball is based on Linda Raschke's Pinball concept.
Value Above 70 represents short term overbought condition.
Value below 30 represents short term oversold condition.
Volatility Radar + Classic StochVolatility Radar + Classic Stoch
This indicator detects volatility squeezes by measuring Bollinger Bands tightness relative to recent history and confirms potential breakout strength using multiple factors:
Bollinger Bands bandwidth percentile to identify tight and super-tight squeezes
TTM Squeeze confirmation via Keltner Channels
Volume spikes indicating rising market interest
ADX trend strength to gauge directional momentum
Classic Stochastic oscillator to signal overbought/oversold conditions
A composite volatility score ranks the overall setup strength with intuitive color-coded background and a real-time label.
Use this tool to anticipate volatility expansions and improve timing for breakout trades.
Strategy with DI+/DI-, ADX, RSI, MACD, EMA + Time Stop [EXP. 1]Strategy Overview
This is an experimental trend-following strategy combining directional movement indicators, momentum filters, and time-based exits. Built for low timeframes like BTCUSDT 5m, it aims to detect clean directional setups while managing risk tightly.
Indicator Components
• DI+/DI- + ADX – Confirms trend direction and strength
• RSI (14) – Momentum filter (entries only if RSI > 55 or < 45)
• MACD Histogram – Confirms momentum shift in signal direction
• Candle Body % Filter – Screens for strong price commitment bars
• EMA 600 & EMA 2400 – Defines long-term trend alignment
• Time-Based Stop – Closes trade if it doesn’t move 0.75% in 85 bars
• Reward:Risk – 1% stop-loss, 7.5:1 reward-to-risk
• One Trade per EMA Cross – Only trades first valid signal per trend shift
Entry Logic
Long Entry:
• DI+ crosses above DI−
• RSI > 55
• MACD histogram > 0
• Strong bullish candle
• EMA600 > EMA2400
• Occurs within 25 bars of an EMA crossover
Short Entry:
• DI+ crosses below DI−
• RSI < 45
• MACD histogram < 0
• Strong bearish candle
• EMA2400 > EMA600
• Occurs within 25 bars of an EMA crossover
Exit Logic
• Stop-loss: 1% from entry
• Take-profit: 7.5x risk
• Time-stop: Trade closed if price doesn’t move 0.75% in 85 bars
Testing Parameters
• Initial Capital: $10,000
• Commission: 0.04% per trade
• Timeframe: 5-minute
• Tested on: BTCUSDT
• ⚠️ Early-stage strategy — trade count may be low depending on market context. This is shared for educational use and community feedback.
Notes
• This script is experimental and educational
• Please forward-test in a demo environment before using it live
• Open-source for learning and improvement — contributions welcome!
🧭 Harmonic Pressure Grid v1.0Purpose:
The Harmonic Pressure Grid helps traders visually identify hidden pressure zones formed by harmonic swing ratios, filtered through RSI momentum and volume surges. These zones often act as powerful support or resistance levels, marking areas of potential price exhaustion or reversal.
🧩 Core Features:
✅ Automatic Swing Detection – Uses pivot highs/lows to map market structure
✅ Harmonic Ratio Matching – Highlights areas where price swings match common harmonic ratios (0.618, 1.0, 1.272, 1.618)
✅ RSI Slope Filter – Confirms upward or downward momentum during pressure formation
✅ Volume Spike Confluence – Validates the strength of pressure using abnormal volume
✅ Background Pressure Zones – Color intensity reflects confluence strength (green for potential support, red for resistance)
📈 How to Use:
Look for green or red background zones on the chart.
Green = Bullish pressure (potential support)
Red = Bearish pressure (potential resistance)
Zone strength is based on RSI direction + volume spike.
Stronger zones = more likely to influence price
Use zones for:
Entry timing: Watch for reversal behavior or confirmation candles inside zones
Exit planning: Use as target areas for partial or full take profit
Confluence stacking: Combine with trendlines, Fibonacci, or your own price action logic
🔍 Tips:
Works best in swing or positional setups, not scalping
Can be combined with other indicators for added confirmation
Use on any timeframe to reveal hidden structural pressure
Tweak swing length or ratio tolerance for more or fewer zones
EMA Curl Strength+EMA Curl Strength+
Description:
This indicator provides a statistically normalized view of EMA slope momentum using Z-score transformation. By evaluating the rate of change of an EMA and comparing it against its historical behavior, the script highlights momentum shifts in a dynamic, adaptive way.
⸻
How It Works:
• Calculates the slope (percentage change) of a chosen EMA.
• Normalizes the slope using Z-score over a custom lookback period.
• Smooths the resulting signal and computes two signal lines for comparison.
• Assigns dynamic colors based on user-defined Z-score thresholds for mild, moderate, and strong momentum in both directions.
⸻
Visual Features:
• Gradient fill between the Z Curl Line and Signal 1 to highlight slope acceleration.
• Histogram showing the difference between the Z Curl Line and its signal.
• Optional signal crossover shapes between configurable pairs (e.g., Z Curl vs. Signal).
• Background highlights when the Z Curl Line exceeds ±2, indicating strong trending behavior.
⸻
Customization:
• Adjustable EMA length, smoothing lengths, signal lengths, histogram smoothing, and Z-score lookback.
• Separate color controls for:
• Z-score strength bands (mild/moderate/strong up/down)
• Histogram bars
• Signal lines
• Background highlight zones
• Crossover shapes
⸻
Use Cases:
• Momentum Confirmation: Confirm strength when Z Curl exceeds ±2 with matching background highlights.
• Trend Entry Timing: Look for trades when Z Curl crosses above or below the 0-line.
• Scalping: Capture quick directional moves when momentum accelerates.
• Trend Following: Use strong Z Curl values to confirm trade direction and filter sideways action.
• Divergence Detection: Spot divergences between price and Z Curl movement to anticipate reversals.
RSI with 2-Pole FilterA momentum indicator that tells you if a stock is overbought or oversold.
RSI goes between 0 and 100.
70 = overbought (might fall)
<30 = oversold (might rise)
It often looks jagged or choppy on volatile days.
Think of this filter like a momentum smoother:
It still follows RSI closely,
But it doesn’t react to every little jiggle in price,
Which helps avoid false signals.
it keeps track of:
The current RSI,
The last 2 RSI values (inputs), and
The last 2 outputs (filtered RSIs).
It uses feedback to shape the output based on previous values, making it smoother than a simple moving average.
TeeLek-BestPositionThis indicator is used to indicate the best buying and selling points.
This indicator will calculate the best buying points (blue) and selling points (orange). The working principle is that the blue point is the point where the RSI is Over Sold, the orange point is the point where the RSI is Over Bought. After that, we will use the Highest Line 100 and Lowest Line 100 to filter the points another layer. And because when Over Bought/Over Sold occurs, there will be continuous signals that are repeated, causing confusion. Therefore, there is a feature to leave a time frame. Set the default value to 24 hours. If a signal occurs, it will be left out.
The appropriate point for buying is:
The point where Over Sold occurs and Closes lower than the Lowest Line 100.
Leave a time frame for 24 hours before a new signal occurs.
The appropriate point for selling is:
The point where Over Bought occurs and Closes higher than the Highest Line 100.
Leave a time frame for 24 hours before a new signal occurs.
It helps us to gradually buy and collect/sell for profit easily without confusion.
อินดิเคเตอร์นี้ใช้ สำหรับบอกจุดซื้อจุดขายที่ดีที่สุด
อินดิเคเตอร์นี้ จะคำนวณจุดซื้อ (สีฟ้า) และจุดขาย (สีส้ม) ที่ดีที่สุดมาให้ โดยหลักการทำงาน คือ จุดสีฟ้า คือจุดที่ RSI Over Sold จุดสีส้ม คือจุดที่ RSI Over Bought หลังจากนั้นเราจะใช้เส้น Highest Line 100 และ Lowest Line 100 เพื่อกรองจุดอีกชั้นหนึ่ง และเนื่องจากเมื่อเกิด Over Bought/Over Sold แล้ว มันจะเกิดสัญญาณต่อเนื่องซ้ำๆ ทำให้สับสน จึงได้มีฟีเจอร์ในการเว้นระยะเวลา ตั้งค่าไว้เริ่มต้นที่ 24 ชั่วโมง ถ้าเกิดสัญญาณแล้วก็จะเว้นระยะออกไป
จุดที่เหมาะสมกับการซื้อ คือ
จุดที่เกิด Over Sold และ Close ต่ำกว่าเส้น Lowest Line 100
เว้นระยะไป 24 ชั่วโมงจึงจะเกิดสัญญาณใหม่อีกครั้ง
จุดที่เหมาะสมกับการขาย คือ
จุดที่เกิด Over Bought และ Close สูงกว่าเส้น Highest Line 100
เว้นระยะไป 24 ชั่วโมงจึงจะเกิดสัญญาณใหม่อีกครั้ง
ช่วยให้เราสามารถ ทยอยซื้อเก็บสะสม/ทยอยขายทำกำไร ได้ง่ายไม่สับสน
MACD + RSI + SMA Strategy with TP/SLThis strategy combines three technical indicators: MACD, RSI, and Simple Moving Average (SMA) to identify high-probability entry points. It enters trades in the direction of the trend (filtered by SMA), confirms momentum shifts (via MACD crossover), and validates signals with RSI to avoid overbought/oversold conditions.
Key Features:
Directional filter using SMA to align trades with the broader trend.
Momentum validation with MACD crossovers.
Risk control through RSI thresholds and fixed percentage-based Take Profit and Stop Loss levels.
Works for both long and short positions.
Disclaimer: This is a sample strategy for educational purposes only.
Trading involves risk. Use at your own discretion.
You bear full responsibility for any profit or loss.
CVDoogle (CVDoogle Indicator)This is a free simple line indicator that represents Cumulative Volume Delta. The script has been tuned specifically to most popular timeframes to be more accurate of the timeframe of the chart. This may make the line appear less smooth than other indicators, but should be more accurate to the current timeframe of the chart.
This indicator was created to be used along with the following to create a Poor Man's Exochart:
Use Volume Footprint instead of Candles on the TradingView chart
Settings:
Row Size - Auto (ATR)
ATR Length - 9
Display - Cluster
Type - Delta
Add Open Interest Suite - By Leviathan indicator
Timeframes covered by this indicator
15s
30s
1m
2m
3m
5m
6m
10m
12m
15m
24m
30m
45m
1H
2H
3H
4H
5H
6H
8H
12H
1D
TZanalyserTZanalyser (Trend Zone Monitor With Trend Strength, Volume Focus And -Events Markers)
Before I used TrendZones to manage my portfolio I used Fibonacci Zone Oscillator as my favorite in the sub panel, accompanied with another subpanel indicator which I never published called IncliValue and also REVE Cohorts.
TZanalyser inherits Ideas and code from all three of them: The visual and the idea of using a channel as the basis for an oscillator depicted as a histogram, is taken from the FibZone Oscillator. The idea of providing a number to evaluate the trend is taken from IncliValue. The idea to create a horizontal line which indicates high and low volume focus completed with markers for volume events, is taken from REVE-cohorts.
These ideas are combined in one sleek visual called TZanalyser. TZ stand for TrendZones, because the histogram is based on it.
The histogram.
Depicted is the distance of the price from COG as percent. The distance between Upper Curve and Lower Curve is used as 100%. The values may reach between 300 and -300. The colors indicate in which zone the candle lives, blue in the blue zone, green in the green zone etc. Despite the absence of a gray zone, there are gray bars. These depict candles that wrap around COG. Because hl2 is used as price, some gray bars point up and others down. The orange and red bars point down because the orange and red downtrend zones are below COG.
Use of the histogram.
Sometimes I need to create a list of stocks which are in uptrend in monthly, weekly and daily charts from the stocks I follow in my universe. This job is done fast and easy by looking at the last bar of the histogram. The histogram also gives a quick evaluation of how the stock fared in the past.
The number.
Suppose I need to allocate some money to another stock, selected a few, looked into news and gurus and they look equally good. Then it is nice to be able to find out which has the best charts. Which one has the strongest uptrend. For this purpose this number can be consulted, because it indicates somehow the strength of the trend. It is an integer between 20 and -20, the closer to 20 the stronger the uptrend, closer to -20 indicates a stronger downtrend. The color of the background is the same as the last column of the histogram.
Volume focus and events
The horizontal lines depict volume focus, the line below the focus that comes with the uptrend columns pointing up, the one above the focus for the downtrend columns pointing down. Thes line have tree colors: maroon for high volume focus, green for normal volume and gray for low volume situations. Between the lines and the histogram triangles appear at volume events, a green triangle when the candle comes with high volume, i.e. 120-200 percent of normal, maroon when extreme volume, i.e. more than 200 percent of normal.
The direction of these triangles is that of the histogram, i.e. when the price is higher, direction is up and vice versa.
Take care and have fun.
SMI Panel (kolupaiev)Stochastic Momentum + table trand + alerts
The indicator is composed of STOCHASTIC and MOMENTUM.
A table for tracking the trend on higher timeframes (1D and 1W) has also been added.
Notifications can be configured to follow the trend.
