MFI Module (Raw Output)This module calculates and outputs the raw Money Flow Index (MFI) using manual formula logic, independent of built-in ta.mfi(). Not intended for standalone use.
Indicators and strategies
Session Color Blocks🧠 Purpose:
To visually highlight different market sessions — Asia, London, Premarket (US), and New York — using colored background blocks on the chart for better timing, context, and trade planning.
🕓 Session Times Used (Eastern Time / New York Time):
Session Time (ET) Color
Asia 8:00 PM – 3:00 AM 🟨 Yellow
London 3:00 AM – 8:30 AM 🟥 Red
Premarket 8:30 AM – 9:30 AM 🟦 Blue
New York 9:30 AM – 4:00 PM 🟩 Green
(DST is automatically handled via "America/New_York" timezone)
✅ Features:
Session colors appear only when that session is active.
Sessions are mutually exclusive, so no overlapping blocks.
Works on any symbol, especially useful for US stock/futures traders.
Auto-adjusts for daylight savings (using TradingView's IANA timezones).
🔧 Future Enhancements (Optional):
Toggle each session on/off
Add vertical lines or labels for session opens
Extend to weekends or custom sessions
3 EMAs with Crossover SignalsThis script displays three exponential moving averages (5, 21, and 50 periods) and generates visual signals (green and red circles) at crossovers between the 5 and 21-period EMAs, indicating potential buy and sell points.
cycle144 dr ramy After Given Datehow much time you wasted drawing cycle 144 in this indicator you can draw the cycle in one step and detect important levels to trade
144 cycle is one of the most important cycles from my point of view which helps you to take a decision in market
i wish this tool help you
wish you all the best chart can offer
Average True Range with MultiplierRelease Summary – ATR with Risk Management Tool (v6)
This script introduces an enhanced Average True Range (ATR) indicator with a user-defined multiplier and integrated risk management table. Users can choose from multiple smoothing methods (SMA, EMA, RMA, WMA) and dynamically calculate risk parameters including:
ATR and ATR × Multiplier
Dollar risk based on account size (1% default)
Position sizing (lot size)
Stop Loss and Take Profit levels (3× reward)
A built-in customizable table displays all calculated values for quick reference. The indicator is fully configurable and designed for precision risk management directly on the chart.
Liquidity HEATMAP liquidation mrcysrjThis indicator helps visualize liquidation levels in the market based on volume and price structure. It dynamically identifies zones where liquidity absorption is more likely to occur, giving traders an edge in decision-making.
🔹 Key Features:
✅ Automatic detection of liquidation levels for both long and short positions.
✅ Customizable display options, including calculation mode and liquidity side selection.
✅ Identification of volume spikes relative to moving averages to highlight high-activity areas.
✅ Dynamic and adjustable line representation on the chart.
💡 Ideal for traders looking to enhance their market reading and anticipate liquidity-driven movements.
🚀 Optimize your trading by identifying key liquidation zones!
Bollinger Bands with EMAsHere's a TradingView Pine Script indicator that includes:
Bollinger Bands with default settings (20-period SMA and 2 standard deviations).
Three EMA lines with default values of 10, 20, and 50.
Settings and style options to adjust any parameter.
Stage Analysis with 50 DMAStan Weinstein's Stage Analysis is a methodology introduced in his seminal book, *"Secrets for Profiting in Bull and Bear Markets"*. This approach divides a stock's lifecycle into four distinct stages, each characterized by specific price behaviors and investor sentiments:
1. Stage 1: Basing (Accumulation)
- **Characteristics:** A period of consolidation where the stock trades within a horizontal range, indicating indecision between buyers and sellers.
- **Investor Sentiment:** Accumulation phase where informed investors begin to purchase shares in anticipation of future gains.
2. **Stage 2: Advancing (Markup)**
- **Characteristics:** A strong uptrend marked by higher highs and higher lows, reflecting increasing demand and positive market sentiment.
- **Investor Sentiment:** Optimism prevails as the stock gains momentum, attracting more investors.
3. **Stage 3: Topping (Distribution)**
- **Characteristics:** A peak phase where the stock's price movement becomes volatile, often forming a rounded top, signaling a potential reversal.
- **Investor Sentiment:** Distribution phase where investors sell off holdings, anticipating a downturn.
4. **Stage 4: Declining (Markdown)**
- **Characteristics:** A downtrend characterized by lower lows and lower highs, indicating a shift in control from bulls to bears.
- **Investor Sentiment:** Pessimism dominates as the stock loses value, leading to further selling pressure.
Incorporating the **50-Day Simple Moving Average (SMA)** into this analysis enhances the ability to identify and confirm these stages. The 50-day SMA represents the average closing price over the past 50 trading days, providing a smoothed line that reflects the stock's recent price action. Traders widely use the 50-day SMA as a trend indicator, with its position relative to the stock's price offering insights into market sentiment.
**Rationale for Using the 50-Day SMA in Stage Analysis:**
- **Trend Confirmation:** The 50-day SMA serves as a dynamic indicator of the stock's intermediate-term trend. In Stage 2 (Advancing), the price typically remains above the 50-day SMA, confirming bullish momentum. Conversely, in Stage 4 (Declining), the price often stays below the 50-day SMA, reinforcing bearish sentiment.
- **Support and Resistance Levels:** The 50-day SMA often acts as a dynamic support or resistance level. In an uptrend, the price may pull back to the 50-day SMA and then resume its rise. In a downtrend, rallies may be capped near the 50-day SMA before the decline continues.
- **Signal Timing:** Utilizing the 50-day SMA alongside Stage Analysis provides timely buy and sell signals. A crossover of the price above the 50-day SMA during Stage 2 can reinforce the strength of the uptrend, while a crossover below during Stage 4 can signal the onset of a downtrend.
By integrating the 50-day SMA into Stage Analysis, traders gain a nuanced understanding of a stock's price cycle, enhancing their ability to make informed trading decisions based on both trend direction and momentum.
**Script Overview:**
This TradingView indicator implements Stan Weinstein’s Stage Analysis methodology using the 50-day SMA to identify market stages and generate buy and sell signals.
**Key Features:**
1. **Stage Identification:**
- **Stage 1 (Accumulation):** Sideways price movement, marked in gray.
- **Stage 2 (Uptrend/Advancing):** Strong uptrend, marked in green.
- **Stage 3 (Distribution):** Consolidation after an uptrend, marked in orange.
- **Stage 4 (Downtrend/Declining):** Bearish phase, marked in red.
2. **50-Day Moving Average (SMA):**
- A crucial component of Weinstein’s method, the 50-day SMA is plotted in blue to track the medium-term trend.
3. **Buy & Sell Signals:**
- **Buy Signal:** Triggered when the price crosses above the 50-day SMA and Stage 2 is confirmed.
- **Sell Signal:** Triggered when the price crosses below the 50-day SMA and Stage 4 is confirmed.
- Signals appear as labeled markers on the chart, with green labels for buys and red labels for sells.
**Trading Strategy:**
- **Entering Long Positions:** A buy signal suggests the start of a strong uptrend, ideal for swing and position traders.
- **Exiting or Shorting:** A sell signal indicates the transition into Stage 4, a downtrend where traders might exit long positions or consider shorting.
- **Avoid Trading in Stage 1 & 3:** These stages indicate market uncertainty and should generally be avoided for new entries.
**Usage Instructions:**
1. Add this script to your TradingView chart.
2. Observe the stage color and trade accordingly.
3. Follow the buy and sell labels for potential entry and exit points.
4. Confirm signals with other indicators like volume and relative strength before making trading decisions.
This script is a powerful tool for traders looking to follow a systematic trend-following approach based on Stan Weinstein’s renowned stage analysis.
RSI Module (Raw Output)his is a raw RSI output module . It calculates RSI and exposes the value using plot() so it can be accessed via request.security().
Box Chart Overlay StrategyExploring the Box Chart Overlay Strategy with RSI & Bollinger Confirmation
The “Box Chart Overlay Strategy by BD” is a sophisticated TradingView strategy script written in Pine Script (version 5). It combines a box charting method with two widely used technical indicators—Relative Strength Index (RSI) and Bollinger Bands—to generate trade entries. In this article, we break down the strategy’s components, its logic, and how it visually represents trading signals on the chart.
1. Strategy Setup and User Inputs
Strategy Declaration
At the top of the script, the strategy is declared with key parameters:
Overlay: The indicator is plotted directly on the price chart.
Initial Capital & Position Sizing: It uses a simulated trading account with an initial capital of 10,000 and positions sized as a percentage of equity (10% by default).
Commission: A commission of 0.1% is factored into trades.
Input Parameters
The strategy is highly customizable. Users can adjust various inputs such as:
Box Settings:
Box Size (RSboxSize): Defines the size of each price “box.”
Box Options: Choose from three modes:
Standard: Boxes are calculated continuously from the start of the chart.
Anchored: The first box is fixed at a specified time and price.
Daily Reset: The boxes reset each day based on a defined session time.
Color Customizations:
Options to customize the appearance of boxes, borders, labels, and even repainting the candles based on the current price’s relation to box levels.
RSI Settings:
Length, overbought, and oversold levels are set to filter trades.
Bollinger Bands Settings:
Users can set the length of the moving average and the multiplier for standard deviation, which will be used to compute the upper and lower bands.
2. The Box Chart Mechanism
Box Construction
The core idea of a box chart is to group price movement into discrete blocks—or boxes—of a fixed size. In this strategy:
Standard Mode:
The script calculates boxes starting at a rounded price level. When the price moves sufficiently above or below the current box’s boundaries, a new box is drawn.
Anchored and Daily Reset Modes:
These modes allow traders to control where the box calculations begin or to reset them during a specific intraday session.
Visual Elements
Several custom functions handle the visual components:
drawBoxUp() and drawBoxDn():
These functions create boxes in bullish or bearish directions respectively, based on whether the price has exceeded the current box’s high or low.
drawLines() and drawLabels():
Lines are drawn to extend the current box levels, and labels are updated to display key levels or the “remainder” (the difference needed to trigger a new box).
Projected Boxes:
A “projected” box is drawn to indicate potential upcoming box levels, providing an additional visual cue about the price action.
3. Integrating RSI and Bollinger Bands for Trade Confirmation
RSI Integration
The strategy computes the RSI using a user-defined length. It then uses the following conditions to validate entries:
Long Trades (Box Up):
The strategy waits for the RSI to be at or below the oversold level before considering a long entry.
Short Trades (Box Down):
It requires the RSI to be at or above the overbought level before triggering a short entry.
Bollinger Bands Confirmation
In addition to the RSI filter:
For Long Entries:
The price must be at or below the lower Bollinger Band.
For Short Entries:
The price must be at or above the upper Bollinger Band.
By combining these filters with the box breakout logic, the strategy aims to enhance the quality of its trade signals.
4. Dynamic Trade Entries and Alerts
Box Logic and Entry Functions
Two key functions—BoxUpFunc() and BoxDownFunc()—handle the creation of new boxes and also check if trade conditions are met:
When a new box is drawn, the script evaluates if the RSI and Bollinger conditions align.
If conditions are satisfied, the script places an entry order:
Long Entry: Initiated when the price moves upward, RSI indicates oversold, and the price touches or falls below the lower Bollinger Band.
Short Entry: Triggered when the price falls downward, RSI signals overbought, and the price touches or exceeds the upper Bollinger Band.
Alerts
Built-in alert functions notify traders when a new box level is reached. Users can set custom alert messages to ensure they are aware of potential trade opportunities as soon as the conditions are met.
5. Visual Enhancements and Candle Repainting
The script also includes options for repainting candles based on their relation to the current box’s boundaries:
Above, Below, or Within the Box:
Candles are color-coded using user-defined colors, making it easier to visually assess where the price is in relation to the box levels.
Labels and Lines:
These continuously update to reflect current levels and provide an immediate visual reference for potential breakout points.
Conclusion
The Box Chart Overlay Strategy by BD is a multi-faceted approach that marries the traditional box chart technique with modern technical indicators—RSI and Bollinger Bands—to refine entry signals. By offering various customization options for box creation, visual styling, and confirmation criteria, the strategy allows traders to adapt it to different market conditions and personal trading styles. Whether you prefer a continuously running “Standard” mode or a more controlled “Anchored” or “Daily Reset” approach, this strategy provides a robust framework for integrating price action with momentum and volatility measures.
3 Part SignalsThis indicator, called **"3 Part Signals"**, is designed to help you identify potential trading opportunities using two key tools:
1. **MACD (Moving Average Convergence Divergence):**
- This is a popular momentum indicator that shows the relationship between two moving averages of the price.
- When the MACD line crosses above its signal line, it can be a bullish sign (we call this a **CALLS** signal).
- When the MACD line crosses below the signal line, it can be a bearish sign (we call this a **PUTS** signal).
2. **VWAP (Volume Weighted Average Price):**
- VWAP is used to see the average price a stock has traded at throughout the day, based on both volume and price.
- If the price crosses above the VWAP, it can trigger a **weak bullish** signal (labeled **WC**).
- If the price crosses below the VWAP, it can trigger a **weak bearish** signal (labeled **WP**).
### How Do the Signals Work?
- **Strong vs. Weak Signals:**
- **CALLS** and **PUTS** are considered stronger signals because they come from the MACD crossovers.
- **WC** (weak call) and **WP** (weak put) come from the price crossing the VWAP, which might be less decisive.
- **Alternating Logic:**
- To avoid giving too many signals in the same direction, the indicator is set up to alternate between bullish and bearish signals.
- For example, if you get a bullish signal (CALLS or WC), the next valid signal will only be a bearish one (PUTS or WP) – and vice versa.
- **Alert Conditions:**
- The indicator has built-in alert conditions. This means you can set up alerts in TradingView to notify you whenever one of these signals occurs.
### What Else Does It Show?
- **Dashboard:**
- On the top right, there’s a small table (dashboard) that shows key metrics:
- **Trend:** Based on a 50-period simple moving average (SMA), it tells you if the market is bullish or bearish.
- **Volatility:** Expressed as a percentage (using the ATR – Average True Range – relative to the price).
- **RSI Status:** Tells you if the asset is overbought or oversold.
- **MACD Status:** Indicates if the MACD suggests bullish or bearish momentum.
- **VWAP Status:** Shows whether the price is above or below the VWAP and by what percentage.
### Customization Options
- **Inputs:**
- You can adjust the MACD parameters (fast length, slow length, and signal smoothing).
- You can choose a different timeframe for the VWAP if needed.
- You can also customize the colors used for the signal labels, so the indicator fits your chart style.
### How to Use It?
1. **Add the Indicator:**
- Simply add it to your chart on TradingView.
2. **Watch for Signals:**
- Look for labels on your chart:
- **CALLS** or **WC** indicate a potential bullish (buy) opportunity.
- **PUTS** or **WP** indicate a potential bearish (sell) opportunity.
3. **Set Alerts:**
- Use the alert conditions to get notified when the signals occur.
4. **Check the Dashboard:**
- Monitor the dashboard for overall market conditions to see if the trend and momentum support the signals.
### Final Thoughts
This indicator is a tool that combines two widely used technical analysis methods (MACD and VWAP) to provide clear, alternating trading signals. It’s meant to help you decide when the market might be shifting direction, but remember – no indicator is perfect, so always use proper risk management and consider other factors in your trading decisions.
RSF INDICATORPersonal Indicator - Free to Use (Just Say a Prayer 🙏)
This is a personal indicator designed for my trading strategy. It is developed based on ICT concepts, Sell-side & Buy-side Liquidity, and MMS points.
🚀 Features:
✔️ Custom-built for precision in market analysis
✔️ Helps identify key liquidity zones
✔️ Supports traders in decision-making
🔹 How to Use:
Simply add this indicator to your TradingView chart and adjust the settings as needed.
⚠️ Disclaimer:
This indicator is provided for free. Use it at your own risk, and always do your own research before making any trading decisions.
If you find it helpful, just send a prayer instead of payment! 🙏
Bollinger Bands Percent - BBPCT: Bollinger Bands Percent Indicator
Overview
The Bollinger Bands Percent ( - BBPCT) indicator delivers a powerful, intuitive visualization of price position relative to its Bollinger Bands. Rather than tracking prices against multiple lines, this specialized tool transforms this relationship into a single oscillator that precisely quantifies where price sits within the Bollinger Band envelope.
Key Features
- Relative Position Measurement: Converts complex Bollinger Band relationships into a simple 0-100 scale showing exactly where price is positioned between upper and lower bands
- Visual Clarity: Color-coded histogram displays bullish conditions (cyan/turquoise) when above the centerline and bearish conditions (magenta/pink) when below
- Overbought/Oversold Zones: Clearly marked extreme levels help identify potential reversal points at 110+ (overbought) and -10 or below (oversold)
- Smart Signal Generation: Incorporates Symmetrical Standard Deviation Channels for enhanced signal confirmation
Technical Implementation
- Customizable Parameters: Adjust the Bollinger Band length (default 20), multiplier (default 2.0), and basis EMA length (default 26)
- Advanced Filtering: Incorporates a 750-period lookback for statistical relevance and percentile ranking
- Signal Confirmation: Small triangles appear at potential entry/exit points when specific conditions are met
- Optional Stdev Display: Toggle standard deviation percentage visualization for deeper market volatility insights
Trading Applications
- Mean Reversion Strategies: Identify extreme readings for potential reversals
- Trend Confirmation: Use centerline (50) crosses to confirm trend direction
- Volatility Analysis: Optional standard deviation display helps gauge market volatility cycles
- Signal Generation: Built-in alerting system for crossing key thresholds at -10 (potential buy) and 110 (potential sell)
Ideal For
Perfect for traders seeking a simplified yet powerful approach to Bollinger Band analysis. This indicator excels at identifying potential market extremes while providing clear visual confirmation of price position within the bands.
The - BBPCT indicator transforms complex Bollinger Band relationships into an intuitive oscillator format, making it valuable for both new and experienced traders looking to enhance their technical analysis toolkit.
Guntavnook Katta - Fair Value PROOverview:
This script is designed to help long-term investors estimate the fair value of a stock using a combination of fundamental financial metrics and a proprietary multi-factor scoring model. It is especially useful for those who wish to assess whether a stock is undervalued or overvalued based on key fundamentals and recent price behavior.
This script is suitable for stocks, and is best applied on the Daily timeframe.
Purpose:
Many investors rely on Price-to-Earnings (PE) ratios, but not all businesses deserve the same PE due to differences in quality, growth visibility, brand strength, and financial health. This tool attempts to automate the estimation of a fair PE ratio for each company, based on key qualitative and quantitative metrics.
Core Logic:
The script takes the EPS (Earnings Per Share) for the recent financial year from TradingView’s built-in fundamental database and multiplies it by a calculated ideal PE ratio, derived from scoring logic applied to the following parameters:
Financial Parameters Considered:
ROCE (Return on Capital Employed): Indicates how efficiently a company is using its capital to generate profits. Higher ROCE generally reflects strong capital allocation.
ROE (Return on Equity): Shows how effectively the company uses shareholders’ equity. A high ROE may imply strong profitability.
Dividend Yield: Companies that share profits with shareholders via dividends are generally viewed favorably, especially if the yield is sustainable.
Promoter Holding: Higher promoter holding reflects confidence of the founders or promoters in the business. Companies with very low promoter holding might raise governance concerns.
Debt to Equity Ratio: Measures financial risk. Companies with low debt are generally safer, except for banks and NBFCs where high debt is normal.
Sales Growth (5 Years): Reflects business expansion. Consistent growth signals strong demand and operational scalability.
Profit Growth (5 Years): Indicates the company’s ability to grow net earnings over time. High profit growth with low sales growth can sometimes indicate improved margins.
Brand Value: Users can assign qualitative ratings to the company's brand strength, which significantly affects valuation.
Professional Management: If promoter holding is 0%, the company may be professionally or institutionally managed, which adds value in many sectors.
Special Edge: A user-defined optional scoring input for businesses with a strong moat, monopoly, or hard-to-replicate model.
Each of these parameters contributes positively or negatively to the Ideal PE score, which is then used to compute the Fair Value = EPS × Ideal PE.
Why This Scoring Approach?
In fast-moving and diverse market environments, the concept of fair value cannot be treated as a one-size-fits-all number. Traditional valuation models often apply a static PE ratio across stocks, overlooking the individual nuances that define each business. However, real-world investing calls for a more contextual approach—one that acknowledges the dynamic nature of companies, sectors, and economic cycles.
This script attempts to address that gap by offering a systematic way to estimate the fair price of a stock, based on both qualitative and quantitative parameters. The scoring logic is derived from concepts and patterns observed in popular books on fundamental investing and valuation. It encapsulates capital efficiency, ownership structure, growth performance, and brand power—all of which influence a company’s ability to command a premium valuation. The goal is not to suggest decisions but to enable custom, data-supported valuation assessments.
User Instructions:
Apply the script to a stock chart using Daily timeframe.
Open the indicator Settings Panel.
Choose either:
Auto-calculated PE: Let the script determine Ideal PE from scoring inputs.
Manual PE: If you're confident in the fair PE value, input it directly.
Hover over (i) icons in settings for explanation of each input.
Most inputs like ROE, ROCE, D/E ratio, etc., can be found from official filings, annual reports, or financial platforms.
Overbought & Oversold Signals:
This script also provides technical signals based on price deviation from fair value:
Uses RSI-based crossover logic in combination with user-defined price deviation thresholds.
Users can enable/disable signals independently.
Thresholds define how far above/below fair value the stock should move before a signal is triggered.
For example:
If the price moves above the fair value by a percentage equal to or greater than the Overbought threshold set by the user and the RSI crosses below 70, a red Overbought label appears.
If the price drops below the fair value by a percentage equal to or greater than the Oversold threshold set by the user and the RSI crosses above 30, a green Oversold label appears.
You can use the average deviation values displayed in the info table to determine suitable threshold levels based on historical price behavior.
Why RSI?
The Relative Strength Index (RSI) is a widely accepted momentum indicator used to assess whether a stock is overbought or oversold based on recent price performance. In this script, RSI serves as a reliable trigger mechanism when combined with fair value deviations. While the fair value estimation captures long-term fundamentals, RSI helps identify short-term extremes in price action. By using RSI crossovers, the script ensures signals are technically validated and not triggered solely by deviation, thus improving accuracy.
Visual Aids:
The green line shows the calculated Fair Value.
Candle colors:
Red: RSI ≥ 70
Green: RSI ≤ 30
Yellow: Neutral zone
An info table at the top-right displays:
Ideal PE
Current PE (based on FY EPS)
Calculated Fair Value
Avg Upper and Lower Price Deviation % from Fair Value
Note:
This tool is primarily optimized for evaluating Indian stocks, especially those listed on NSE/BSE, where metrics like promoter holding and ROCE are commonly used.
Disclaimer:
This script is intended for educational and research purposes only. It is not investment advice. The logic is based on publicly available data and scoring heuristics designed for learning and valuation awareness.
Magnetic Trend filterMagnetic Trend Filter – A Smarter Way to Trade Trends 🚀
I’m excited to introduce a powerful trend filtering method that I’ve been working on—Magnetic Trend Filter (MTF). If you’ve ever struggled with noisy price action, false signals, or unclear trends, this indicator might be just what you need!
🔍 What is the Magnetic Trend Filter?
MTF is designed to smooth out market noise and help traders focus on clean, high-probability trend signals. It works by applying an intelligent filtering mechanism to Close price data, reducing whipsaws while maintaining trend sensitivity.
Instead of relying solely on conventional moving averages or lagging indicators, MTF adapts dynamically to market conditions, providing a more refined view of trend direction.
🎯 How it Works
• MTF processes filtered Close price data, making trends more visible.
• It reduces unnecessary price fluctuations, helping you stay in trades longer.
• The filtering mechanism ensures better accuracy in defining trend direction.
📈 How to Use It
• Buy Signals: When the trend filter turns bullish (uptrend confirmation).
• Sell Signals: When the trend filter turns bearish (downtrend confirmation).
• Combine with Other Indicators: MTF works great alongside VWAP, Bollinger Bands, and Ichimoku Cloud for added confluence.
Personally, I use it with my price range filter to catch good exits. Have added that to the Magnetic trend filter and will also publish advanced version independently.
🛠 Customization & Optimization
I’ve optimized the script to reduce computation load, making it efficient and responsive even on lower timeframes. You can tweak smoothing parameters to adjust the sensitivity of the filter based on your trading style.
📌 Final Thoughts
Magnetic Trend Filter is an efficient way to identify trends while avoiding unnecessary noise in price movements. Whether you’re a day trader or swing trader, this tool can help improve decision-making and increase trading accuracy.
💡 Try it out and let me know your thoughts! I’d love to hear feedback and explore potential improvements together. 🚀
Disclaimer:
This is for educational purpose only, no matter how promising things look on chart, they are past performances and reality may vary in real-time.
So use at your own risk.
Kase Permission StochasticOverview
The Kase Permission Stochastic indicator is an advanced momentum oscillator developed from Kase's trading methodology. It offers enhanced signal smoothing and filtering compared to traditional stochastic oscillators, providing clearer entry and exit signals with fewer false triggers.
How It Works
This indicator calculates a specialized stochastic using a multi-stage smoothing process:
Initial stochastic calculation based on high, low, and close prices
Application of weighted moving averages (WMA) for short-term smoothing
Progressive smoothing through differential factors
Final smoothing to reduce noise and highlight significant trend changes
The indicator oscillates between 0 and 100, with two main components:
Main Line (Green): The smoothed stochastic value
Signal Line (Yellow): A further smoothed version of the main line
Signal Generation
Trading signals are generated when the main line crosses the signal line:
Buy Signal (Green Triangle): When the main line crosses above the signal line
Sell Signal (Red Triangle): When the main line crosses below the signal line
Key Features
Multiple Smoothing Algorithms: Uses a combination of weighted and exponential moving averages for superior noise reduction
Clear Visualization: Color-coded lines and background filling
Reference Levels: Horizontal lines at 25, 50, and 75 for context
Customizable Colors: All visual elements can be color-customized
Customization Options
PST Length: Base period for the stochastic calculation (default: 9)
PST X: Multiplier for the lookback period (default: 5)
PST Smooth: Smoothing factor for progressive calculations (default: 3)
Smooth Period: Final smoothing period (default: 10)
Trading Applications
Trend Confirmation: Use crossovers to confirm entries in the direction of the prevailing trend
Reversal Detection: Identify potential market reversals when crossovers occur at extreme levels
Range-Bound Markets: Look for oscillations between overbought and oversold levels
Filter for Other Indicators: Use as a confirmation tool alongside other technical indicators
Best Practices
Most effective in trending markets or during well-defined ranges
Combine with price action analysis for better context
Consider the overall market environment before taking signals
Use longer settings for fewer but higher-quality signals
The Kase Permission Stochastic delivers a sophisticated approach to momentum analysis, offering a refined perspective on market conditions while filtering out much of the noise that affects standard oscillators.
TCP SuperSystem - Mean Reversion w ZonesThe Mean Reversion w Zones upper indicator is:
an additional piece of the TCP SuperSystem. This indicator is based strictly on price action and mean reversion, further supporting the "TCP SuperSystem - Main" indicators and is locating at the top of the screen above the chart.
You will see 3 key items:
3 lines that will be associated with moving averages and will be volatile based on assets price action.
The RED line
Fastest moving line that will be more volatile in relation to the zones and serves as a indicator for short term action.
The Orange and Blue line
Slower moving and can serve as good indicator for longer term action.
2 Zones
Green and Red zones
Opportunity zones that we monitor in relation to the 3 lines to measure and confirm price action and trend.
Series of X's at the top and bottom of the indicator
Correlate to the line colors and have 3 shades. The darker the shade the more significant the price movement has been. We leverage these to try and measure and predict potential trend reversals when coupled with other indicators in the system.
Note: The White "x" appears when the RED line is crossing from above the RED Zone to below it or when the RED Line is crossing from below the GREEN Zone to above it. These areas can represent confirmations of short-term price action.
Extreme Zones represented by the hashed lines
These levels mark extremes. We typically monitor these levels to try and determine when we may experience a violent shift or imminent trend reversal.
Examples:
When the RED line is penetrating upward through the RED Zone and the Blue and Orange lines are moving up toward the Green Zone has historically served as fantastic areas for us to enter our portfolio trades. These must be monitored consistently. We are always willing to discuss these for our members in the TradingView Private Chat.
3 Part SignalsBuy and Sell signals based on a 3 part condition.
Weak signals will be yellow, good and perfect signals will be green/red.
Central Bank VolitilityIntroducing the Central Bank Volatility (CBV) Indicator
The CBV indicator is a custom-designed tool that capitalizes on the unique volatility spikes often triggered by central bank manual interventions. By isolating and visualizing these abrupt fluctuations, CBV provides traders with enhanced insight into market dynamics and potential reversal points—much like how the Average True Range (ATR) functions, but with a specific focus on intervention-induced volatility.
How It Works
Central banks, when they intervene manually in the market, often cause rapid and unexpected price shifts. These shifts create short-term spikes in volatility as market participants quickly adjust their expectations and portfolios. CBV measures these disturbances by calculating a "true range" similar to the ATR methodology:
True Range (TR):
TR = max(High − Low, |High − Previous Close|, |Low − Previous Close|)
Average True Range (ATR):
ATR = (Previous ATR × (n − 1) + TR) / n
where n is the period over which the volatility is smoothed.
While ATR provides a smoothed measure of general market volatility, CBV is tuned to detect and emphasize the volatility that arises specifically around central bank interventions. This targeted approach helps highlight the “surge” in market activity that occurs when policy actions send strong signals to investors.
Why CBV Capitalizes on Central Bank Volatility
Detection of Reversal Points: The CBV indicator is particularly effective at revealing levels where volatility significantly increases. Such levels often correspond to the moments when central bank actions inject uncertainty into the market. These volatility spikes can serve as early-warning signals, helping traders anticipate potential market reversals. As volatility increases around these critical levels, the CBV indicator visually highlights them, alerting traders to the possibility that a temporary surge in risk may precede a reversal in market direction.
Enhanced Visualization: By focusing on intervention-induced volatility, CBV presents a clearer picture of market behavior during periods of central bank activity. It filters out the noise of regular market fluctuations and emphasizes the spikes associated with policy moves. This visualization aids traders in recognizing abnormal market conditions—similar to how Bollinger Bands widen when volatility rises—thereby facilitating timely adjustments in trading strategies.
Risk Management: Understanding when volatility is heightened around central bank intervention levels allows traders to better manage risk. CBV provides an actionable metric that signals when to be more cautious or when to expect a reversal, thereby offering a strategic advantage in timing entry and exit points.
Conclusion
The Central Bank Volatility (CBV) Indicator is a powerful tool for traders seeking to exploit the market turbulence generated by central bank interventions. By utilizing a methodology akin to the Average True Range—with TR defined as max(High − Low, |High − Previous Close|, |Low − Previous Close|) and ATR computed as (Previous ATR × (n − 1) + TR) / n—CBV focuses specifically on the volatility spikes associated with policy actions. This focused approach not only provides clearer insights into market reversals but also enhances risk management by alerting traders to critical levels where rapid re-pricing occurs.
Central Bank VolitilityIntroducing the Central Bank Volatility (CBV) Indicator
The CBV indicator is a custom-designed tool that capitalizes on the unique volatility spikes often triggered by central bank manual interventions. By isolating and visualizing these abrupt fluctuations, CBV provides traders with enhanced insight into market dynamics and potential reversal points—much like how the Average True Range (ATR) functions, but with a specific focus on intervention-induced volatility.
How It Works
Central banks, when they intervene manually in the market, often cause rapid and unexpected price shifts. These shifts create short-term spikes in volatility as market participants quickly adjust their expectations and portfolios. CBV measures these disturbances by calculating a "true range" similar to the ATR methodology:
True Range (TR):
TR = max(High − Low, |High − Previous Close|, |Low − Previous Close|)
Average True Range (ATR):
ATR = (Previous ATR × (n − 1) + TR) / n
where n is the period over which the volatility is smoothed.
While ATR provides a smoothed measure of general market volatility, CBV is tuned to detect and emphasize the volatility that arises specifically around central bank interventions. This targeted approach helps highlight the “surge” in market activity that occurs when policy actions send strong signals to investors.
Why CBV Capitalizes on Central Bank Volatility
Detection of Reversal Points: The CBV indicator is particularly effective at revealing levels where volatility significantly increases. Such levels often correspond to the moments when central bank actions inject uncertainty into the market. These volatility spikes can serve as early-warning signals, helping traders anticipate potential market reversals. As volatility increases around these critical levels, the CBV indicator visually highlights them, alerting traders to the possibility that a temporary surge in risk may precede a reversal in market direction.
Enhanced Visualization: By focusing on intervention-induced volatility, CBV presents a clearer picture of market behavior during periods of central bank activity. It filters out the noise of regular market fluctuations and emphasizes the spikes associated with policy moves. This visualization aids traders in recognizing abnormal market conditions—similar to how Bollinger Bands widen when volatility rises—thereby facilitating timely adjustments in trading strategies.
Risk Management: Understanding when volatility is heightened around central bank intervention levels allows traders to better manage risk. CBV provides an actionable metric that signals when to be more cautious or when to expect a reversal, thereby offering a strategic advantage in timing entry and exit points.
Conclusion
The Central Bank Volatility (CBV) Indicator is a powerful tool for traders seeking to exploit the market turbulence generated by central bank interventions. By utilizing a methodology akin to the Average True Range—with TR defined as max(High − Low, |High − Previous Close|, |Low − Previous Close|) and ATR computed as (Previous ATR × (n − 1) + TR) / n—CBV focuses specifically on the volatility spikes associated with policy actions. This focused approach not only provides clearer insights into market reversals but also enhances risk management by alerting traders to critical levels where rapid re-pricing occurs.
TCP SuperSystem - Hot Sensor with Multi InputThe TCP SuperSystem Hot Sensor with Multi Input is:
A component of the overall TCP SuperSystem which helps identify opportunities to enter or scale out in a given asset based on price movement. This one is extremely helpful when leveraging the additional components of the Supersystem and is the indicator underneath the main chart.
In the Settings, the user can change the input based on the Moving Average of their choice (See preferred settings at bottom). Our User's may also clone or create multiple panes that contain the same indicator so they can have multiple views on different Moving Averages.
The plotted line is preset to AREA and will change colors based on price movement with level 5 color (RED) representing the most opportunistic moments whether your evaluating opportunities to scale in or out. The color scale below can be customized to your liking but is designed to leverage the same colors whether your looking at overbough or oversold areas. For example, level 5 RED could mean that it is extremely overbought or oversold.
Preset colors which can be customized:
Level 1: White
Level 2: Gray
Level 3: Blue
Level 4: Orange
Level 5: Red
Please note the RED will show when it may be a good time to scale out as well as scale in depending on the trend and momentum.
We have found this to be extremely valuable when combining with the overall "TCP Supersystem - Main" indicator.
Ex. The published image is a daily chart of BONK token. We typically find great opportunities when:
Hot Sensor with Multi Input is RED
TCP SuperSystem - Main is printing a DARK Green Diamond with is the Level 2 Buying Opportunity
Again, these indicators are for informational and educational purposes only and are not recommendations to buy or sell any security. We are not financial advisors and do not provide financial advice. Please consult a licensed advisor before making any investment decision. We are not responsible for any losses you may incur by relying on this system or any component thereof. Best Trading.
Mingo ZaZaZu PRO v3 (Persistent Trade)🧠 What It Does
The Mingo ZaZaZu PRO v3 is an advanced price action + smart filter trading assistant for manual or semi-automated trading. It helps identify high-probability buy/sell setups using swing zones, volume, FVGs, trend filters, and more — while visually guiding you with zones, trade status, multi-level TP targets, and alerts.
It’s built for zone-based traders, especially those who follow supply & demand, sniper, or ICT-style strategies.
🚀 Key Features
🔍 1. Zone Detection
Detects swing highs/lows as potential Sell/Buy zones
Auto-draws zone boxes on chart (with color and shading)
Uses zoneLength to control how far back to check for swing pivots
✅ 2. Smart Trade Confirmation
A signal is only triggered when multiple conditions align:
Price enters a valid buy/sell zone
Candlestick confirms reversal (wick/body ratio)
Optional filters:
📦 Fair Value Gap alignment
💣 Volume spike confirmation
📈 EMA 200 trend filter
🧠 3. Persistent Trade Logic
Once a trade is detected, the script remembers the trade:
Entry
Stop-loss (SL)
Take-profits (TP1, TP2, TP3)
Zones and TP/SL levels stay visible
Displays a summary label with trade details
💬 4. Dynamic Status System
Shows what’s happening in real-time:
“✅ BUY Signal Confirmed”
“☑️ Buy Trade Active (Still in Zone)”
“📤 Left Zone - Wait” or “🔁 Reentry Possible”
“⏳ Cooldown Active”
“📊 Waiting for Zone”
🧭 5. Re-entry Logic
If price leaves the zone but hasn't hit TP1 or SL, it can suggest re-entry opportunities
🎯 6. Multi Take-Profit Levels
Automatically calculates and draws:
TP1 (e.g., RR 1.0)
TP2 (e.g., RR 1.5)
TP3 (e.g., RR 2.0)
All based on Risk:Reward from Entry to SL
🔔 7. Built-in Alerts
Get notified for:
Entry signals
Entry into zones
TP1 hit
SL hit
Works with TradingView alerts
⚙️ How It Works (Internals)
Swing Detection:
Identifies local highs/lows using ta.highestbars() or ta.lowestbars()
Zone Creation:
Creates shaded zones above/below swing points
Buy zone: bottom half of swing low
Sell zone: top half of swing high
Entry Validation:
Must be in the zone
Must pass confirmation logic (strict or simple)
Must pass optional filters (FVG, volume, EMA trend)
Must pass cooldown timer
Trade Setup:
Once confirmed, draws:
TP lines
SL level
Entry level
Label with info
Persistent State:
Remembers SL and TP from last signal
Tracks current trade status (active/inactive)
Reentry opportunities based on if price leaves zone but doesn’t hit TP or SL
Status Label:
Dynamically updates with current trade state or signal state
Alerts:
Custom messages for TradingView alerts at key events
🧩 Ideal For:
Traders who want clear visual setups
Swing, sniper, or smart money concepts
Traders using manual entry based on high-quality zones
People who want clean, informative charts with alerts
Brahmastra Volume divergence candleVolume Divergence Candle is a powerful technical indicator designed to highlight potential trend reversals based on volume analysis within candlesticks. This tool detects instances where price and volume show a divergence, signaling that a change in market direction could be imminent.
Features:
Volume-based divergence detection: The indicator analyzes the relationship between price movement and volume for each candle, identifying when there's a mismatch that could suggest an upcoming trend reversal.
Yellow candle alerts: When a green candle is accompanied by negative volume (or vice versa), the candle color is changed to yellow to signal a potential shift in market sentiment. This color change serves as an early warning for traders to be cautious and alert for possible trend changes.
Visual clarity: Yellow candles are clearly marked, providing an easy visual cue for traders to spot potential turning points in the market.
This indicator is particularly useful for identifying reversal points in ongoing trends, offering an edge for traders looking to enter or exit positions at key moments.
How It Works:
The Volume Divergence Candle indicator detects when the volume doesn't support the price move. For instance, if a green candle (bullish price movement) is paired with negative volume (indicating a lack of buying pressure), this could point to an impending reversal. When such a divergence is identified, the candle is colored yellow, signaling the potential for a trend change.
These yellow candles act as early indications of a shift in momentum, giving traders a heads-up that a trend reversal might be on the horizon. The indicator works beautifully in conjunction with other reference levels and helps pinpoint those crucial moments before the market shows a clear reversal.
