Intrabar Volume Distribution [BigBeluga]Intrabar Volume Distribution is an advanced volume and order flow indicator that visualizes the buy and sell volume distribution within each candlestick.
🔔 Before Use:
Turn off the background color of your candles for clear visibility.
Overlay the indicator on the top layout to ensure accurate alignment with the price chart.
🔵 Key Features:
Inside Bar Volume Visualization:
Each candlestick is divided into two columns:
Left column displays the sell % volume amount.
Right column displays the buy % volume amount.
Provides a clear representation of buyer-seller activity within individual bars.
Percentage Volume Labels:
Labels above each bar show the percentage share of sell and buy volume relative to the total (100%).
Quickly assess market sentiment and volume imbalances.
Point of Control (POC) Levels:
Orange dashed lines mark the POC inside each bar, indicating the price level with the highest traded volume.
Helps identify key liquidity zones within individual candlesticks.
Multi-Timeframe Volume Analysis:
The indicator automatically uses a timeframe 20-30 times lower than the current one to gather detailed volume data.
For each higher timeframe candle, it collects 20-30 bars of lower timeframe data for precise volume mapping.
Each bar is divided into 100 volume bins to capture detailed volume distribution across the price range.
Bins are filled based on the aggregated volume from the lower timeframe data.
Lookback Period:
Allows traders to select how many bars to display with delta and volume information.
The beginning of the selected lookback period is marked with a gray line and label for quick reference.
Indicator displays up to 80 bars back
🔵 Usage:
Order Flow Analysis: Monitor buy/sell volume distribution to spot potential reversals or continuations.
Liquidity Identification: Use POC levels to locate areas of strong market interest and potential support/resistance.
Volume Imbalance Detection: Pay attention to percentage labels for quick recognition of buyer or seller dominance.
Scalping & Intraday Trading: Ideal for traders seeking real-time insight into order flow and volume behavior.
Historical Analysis: Adjust the lookback period to analyze past price action and volume activity.
Intrabar Volume Distribution is a powerful tool for traders aiming to gain deeper insight into market sentiment through detailed volume analysis, allowing for more informed trading decisions based on real-time order flow dynamics.
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Dynamic Square Levels**Dynamic Square Levels with Strict Range Condition**
This script is designed to help traders visualize dynamic price levels based on the square root of the current price. It calculates key levels above and below the current price, providing a clear view of potential support and resistance zones. The script is highly customizable, allowing you to adjust the number of levels, line styles, and label settings to suit your trading strategy.
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### **Key Features**:
1. **Dynamic Square Levels**:
- Calculates price levels based on the square root of the current price.
- Plots levels above and below the current price for better market context.
2. **Range Condition**:
- Lines are only drawn when the current price is closer to the base level (`square(base_n)`) than to the next level (`square(base_n + 1)`).
- Ensures levels are only visible when they are most relevant.
3. **Customizable Levels**:
- Choose the number of levels to plot (up to 20 levels).
- Toggle additional levels (e.g., 0.25, 0.5, 0.75) for more granular analysis.
4. **Line and Label Customization**:
- Adjust line width, style (solid, dashed, dotted), and extend direction (left, right, both, or none).
- Customize label text, size, and position for better readability.
5. **Background Highlight**:
- Highlights the background when the current price is closer to the base level, providing a visual cue for key price zones.
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### **How It Works**:
- The script calculates the square root of the current price and uses it to generate dynamic levels.
- Levels are plotted above and below the current price, with customizable spacing.
- Lines and labels are only drawn when the current price is within a specific range, ensuring clean and relevant visuals.
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### **Why Use This Script?**:
- **Clear Visuals**: Easily identify key support and resistance levels.
- **Customizable**: Tailor the script to your trading style with adjustable settings.
- **Efficient**: Levels are only drawn when relevant, avoiding clutter on your chart.
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### **Settings**:
1. **Price Type**: Choose the price source (Open, High, Low, Close, HL2, HLC3, HLCC4).
2. **Number of Levels**: Set the number of levels to plot (1 to 20).
3. **Line Style**: Choose between solid, dashed, or dotted lines.
4. **Line Width**: Adjust the thickness of the lines (1 to 5).
5. **Label Settings**: Customize label text, size, and position.
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### **Perfect For**:
- Traders who rely on dynamic support and resistance levels.
- Those who prefer clean and customizable chart visuals.
- Anyone looking to enhance their price action analysis.
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**Get started today and take your trading to the next level with Dynamic Square Levels!** 🚀
SMC Liquidity & Order Blocks🔹 1. Moving Averages for Trend Confirmation
Uses Exponential Moving Averages (EMA) to determine trend direction.
9-period EMA (blue) and 15-period EMA (red) are plotted.
🔹 2. Liquidity Zones (Swing Highs & Lows)
Identifies liquidity zones where price is likely to react.
Buy-Side Liquidity: Highest high over 20 periods (Green line).
Sell-Side Liquidity: Lowest low over 20 periods (Red line).
🔹 3. Order Block Detection
Detects bullish and bearish order blocks (key price zones of institutional activity).
Bullish Order Block (OB): Formed when the highest close over 5 bars exceeds the highest high.
Bearish Order Block (OB): Formed when the lowest close over 5 bars is lower than the lowest low.
Plotted using green (up-triangle) for bullish OB and red (down-triangle) for bearish OB.
🔹 4. Fair Value Gaps (FVG)
Detects price inefficiencies (gaps between candles).
FVG Up: When a candle's high is lower than a candle two bars ahead.
FVG Down: When a candle's low is higher than a candle two bars ahead.
Plotted using blue circles (FVG Up) and orange circles (FVG Down).
Quantum Momentum FusionPurpose of the Indicator
"Quantum Momentum Fusion" aims to combine the strengths of RSI (Relative Strength Index) and Williams %R to create a hybrid momentum indicator tailored for volatile markets like crypto:
RSI: Measures the strength of price changes, great for understanding trend stability but can sometimes lag.
Williams %R: Assesses the position of the price relative to the highest and lowest levels over a period, offering faster responses but sensitive to noise.
Combination: By blending these two indicators with a weighted average (default 50%-50%), we achieve both speed and reliability.
Additionally, we use the indicator’s own SMA (Simple Moving Average) crossovers to filter out noise and generate more meaningful signals. The goal is to craft a simple yet effective tool, especially for short-term trading like scalping.
How Signals Are Generated
The indicator produces signals as follows:
Calculations:
RSI: Standard 14-period RSI based on closing prices.
Williams %R: Calculated over 14 periods using the highest high and lowest low, then normalized to a 0-100 scale.
Quantum Fusion: A weighted average of RSI and Williams %R (e.g., 50% RSI + 50% Williams %R).
Fusion SMA: 5-period Simple Moving Average of Quantum Fusion.
Signal Conditions:
Overbought Signal (Red Background):
Quantum Fusion crosses below Fusion SMA (indicating weakening momentum).
And Quantum Fusion is above 70 (in the overbought zone).
This is a sell signal.
Oversold Signal (Green Background):
Quantum Fusion crosses above Fusion SMA (indicating strengthening momentum).
And Quantum Fusion is below 30 (in the oversold zone).
This is a buy signal.
Filtering:
The background only changes color during crossovers, reducing “fake” signals.
The 70 and 30 thresholds ensure signals trigger only in extreme conditions.
On the chart:
Purple line: Quantum Fusion.
Yellow line: Fusion SMA.
Red background: Sell signal (overbought confirmation).
Green background: Buy signal (oversold confirmation).
Overall Assessment
This indicator can be a fast-reacting tool for scalping. However:
Volatility Warning: Sudden crypto pumps/dumps can disrupt signals.
Confirmation: Pair it with price action (candlestick patterns) or another indicator (e.g., volume) for validation.
Timeframe: Works best on 1-5 minute charts.
Suggested Settings for Long Timeframes
Here’s a practical configuration for, say, a 4-hour chart:
RSI Period: 20
Williams %R Period: 20
RSI Weight: 60%
Williams %R Weight: 40% (automatically calculated as 100 - RSI Weight)
SMA Period: 15
Overbought Level: 75
Oversold Level: 25
Red & Green Zone ReversalOverview
The “Red & Green Zone Reversal” indicator is designed to visually highlight potential reversal zones on your chart by using a combination of Bollinger Bands and the Relative Strength Index (RSI).
It overlays on the chart and provides background color cues—red for oversold conditions and green for overbought conditions—along with corresponding alert triggers.
Key Components
Overlay: The indicator is set to overlay the chart, meaning its visual cues (colored backgrounds) are drawn directly on the price chart.
Bollinger Bands Calculation
Period: A 20-period simple moving average (SMA) is calculated from the closing prices.
Standard Deviation Multiplier: A multiplier of 2.0 is applied.
Bands Defined:
Basis: The 20-period SMA.
Deviation: Calculated as 2 times the standard deviation over the same period.
Upper Band: Basis plus the deviation.
Lower Band: Basis minus the deviation.
RSI Calculation
Period: The RSI is computed over a 14-period span using the closing prices.
Thresholds:
Oversold Threshold: 30 (used for the red zone condition).
Overbought Threshold: 70 (used for the green zone condition).
Zone Conditions
Red Zone (Oversold):
Criteria: The price is below the lower Bollinger Band and the RSI is below 30.
Purpose: Highlights a situation where the asset may be deeply oversold, signaling a potential reversal to the upside.
Green Zone (Overbought):
Criteria: The price is above the upper Bollinger Band and the RSI is above 70.
Purpose: Indicates that the asset may be overbought, potentially signaling a reversal to the downside.
Visual and Alert Components
Background Coloring:
Red Background: Applied when the red zone condition is met (using a semi-transparent red).
Green Background: Applied when the green zone condition is met (using a semi-transparent green).
Alerts:
Red Alert: An alert condition titled “Deep Oversold Alert” is triggered with the message “Deep Oversold Signal triggered!” when the red zone criteria are satisfied.
Green Alert: Similarly, an alert condition titled “Deep Overbought Alert” is triggered with the message “Deep Overbought Signal triggered!” when the green zone criteria are met.
Important Disclaimers
Not Financial Advice:
This indicator is provided for informational and analytical purposes only. It does not constitute trading advice or a recommendation to buy or sell any asset. Traders should use it as one of several tools in their analysis and should perform their own due diligence.
Risk Management:
Trading inherently involves risk. Past performance is not indicative of future results. Always implement appropriate risk management and use stop losses where necessary.
Summary
In summary, the “Red & Green Zone Reversal” indicator uses Bollinger Bands and RSI to detect extreme market conditions. It visually marks oversold (red) and overbought (green) conditions directly on the chart and offers alert conditions to help traders monitor these potential reversal points.
Enjoy!!
Weekend RangeWeekend Range Indicator – Customizable High/Low Zones
🔹 Overview
The Weekend Range Indicator marks the last 20 weekends on your chart, highlighting their highs and lows with fully customizable colors, transparency, and time settings. This tool helps traders identify key support and resistance levels from weekend price action.
🛠️ Features
✅ Custom Weekend Start & End – Choose the weekend days and time (UTC)
✅ Automatically Tracks the Last 20 Weekends (configurable up to 50)
✅ Custom Box Colors & Transparency – Adjust the fill and border colors easily
✅ Works on All Timeframes – Best viewed on 1H, 4H, or higher
✅ Efficient & Optimized Code – No lag, smooth performance
🎯 How to Use
1️⃣ Add the indicator to your chart.
2️⃣ Adjust the weekend start & end time in the settings.
3️⃣ Customize the box colors and transparency to match your style.
4️⃣ Watch how price reacts around the weekend high/low zones for trade opportunities.
💡 Trading Strategies
🔹 Breakout Trading – Look for price breaking above or below the weekend range.
🔹 Reversal Zones – Watch for rejections at weekend highs/lows.
🔹 Liquidity & Stop Hunts – Large players often target these levels.
📈 Recommended Markets
✔ Works best on Forex, Crypto, Indices, and Commodities
✔ Ideal for swing traders and intraday traders
🚀 Enjoy using the indicator! Let me know if you’d like any new features added! 🎯🔥
Trade Quality Rating: signal rating from 1 to 5 starsOverview
The indicator is built to generate trading signals based on a combination of technical indicators and then assign each signal a quality rating from 1 to 5 stars. The idea is that the more filters that are met, the stronger (or higher quality) the signal is assumed to be. You can then use these quality ratings to decide which signals to act upon, keeping in mind that a higher-rated signal has more confirming factors.
Components of the Indicator
Simple Moving Averages (SMAs):
SMA9 and SMA20:
These two moving averages are used to detect short-term trend changes via crossovers. A bullish signal is generated when the SMA9 crosses above the SMA20, and a bearish signal when it crosses below.
SMA200 (on the current timeframe) & Daily SMA200:
The SMA200 on your current chart helps smooth out the price action.
The Daily SMA200 serves as a long-term trend filter. For a valid long signal, the price must be above the Daily SMA200, and vice versa for a short signal.
MACD (Moving Average Convergence Divergence):
The MACD is calculated using standard parameters (12, 26, 9).
It adds momentum confirmation to the signal. For a long trade, the MACD line should be above its signal line, and for a short trade, below.
RSI (Relative Strength Index):
Calculated with a 14-period setting.
For long signals, the RSI must be above 50 (indicating upward momentum), while for short signals, it should be below 50.
This filter is one of the additional conditions that add to the quality rating.
Volume Filter:
A 20-period moving average of volume is computed.
The current volume must exceed this average, suggesting that there is enough market participation backing the move.
This is another extra filter that adds to the overall quality score.
ADX (Average Directional Index):
The ADX is manually calculated in the script (using a 14-period setting) to gauge the strength of the trend.
A value above 25 is considered to confirm that a strong trend is in place, making the signal more reliable.
VWAP (Volume Weighted Average Price):
The session VWAP is computed on a daily basis.
For long trades, the price should be above the VWAP, and for short trades, below.
This serves as a confirmation that the current price is moving in the right direction relative to the volume-weighted average.
Signal Generation and Quality Rating
Base Signal (1 Star):
The fundamental trade signal is generated when the SMA9/SMA20 crossover occurs, in combination with the MACD confirmation and the condition that the price is on the correct side of the Daily SMA200. This base signal provides a 1-star quality rating.
Additional Filters (Adding Extra Stars):
RSI Filter: Adds 1 extra star if the RSI condition is met (RSI > 50 for long or RSI < 50 for short).
Volume Filter: Adds 1 extra star if the current volume exceeds its 20-period moving average.
ADX Filter: Adds 1 extra star if the ADX value is above 25, confirming a strong trend.
VWAP Filter: Adds 1 extra star if the price is above the VWAP for long trades (or below for short trades).
When all filters are met, you get a 5-star rating (1 star base + 4 extra stars).
Display and Alerts:
The indicator plots your SMAs on the chart.
When a signal occurs, it places a label on the chart showing the trade direction ("BUY" or "SELL") along with the quality rating in stars.
Additionally, alert conditions are set up so that you can receive notifications when a valid signal (based on the base criteria) is generated.
How to Use This Indicator
Filtering Trades:
Use the quality rating as a visual guide. For instance, if you want to only act on the most reliable setups, you might decide to trade only signals that are rated 4 or 5 stars.
Manual Confirmation:
Even with a high star rating, you can perform your own final checks (e.g., checking price action or additional chart patterns) before entering a trade.
Backtesting and Adjustment:
Because market conditions differ, it’s advisable to backtest the indicator on your instrument of choice and adjust the parameters (such as the ADX threshold or the period for volume averaging) to better suit your trading style.
Conclusion
This 5-star system indicator is designed to provide a comprehensive overview of trade quality by integrating multiple technical filters into one visual signal. It helps filter out noise by ensuring that a trade signal not only meets a basic SMA and MACD condition but also aligns with volume, trend strength (ADX), and VWAP criteria. This multi-layered approach can lead to fewer but higher quality trades, allowing you to focus on setups that have more confluence.
Happy trading!
CBC Strategy with Trend Confirmation & Separate Stop LossCBC Flip Strategy with Trend Confirmation and ATR-Based Targets
This strategy is based on the CBC Flip concept taught by MapleStax and inspired by the original CBC Flip indicator by AsiaRoo. It focuses on identifying potential reversals or trend continuation points using a combination of candlestick patterns (CBC Flips), trend filters, and a time-based entry window. This approach helps traders avoid false signals and increase trade accuracy.
What is a CBC Flip?
The CBC Flip is a candlestick-based pattern that identifies moments when the market is likely to change direction or strengthen its trend. It checks for a shift in price behavior between consecutive candles, signaling a bullish (upward) or bearish (downward) move.
However, not all flips are created equal! This strategy differentiates between Strong Flips and All Flips, allowing traders to choose between a more conservative or aggressive approach.
Strong Flips vs. All Flips
Strong Flips
A Strong Flip is a high-probability setup that occurs only after liquidity is swept from the previous candle’s high or low.
What is a liquidity sweep? This happens when the price briefly moves beyond the high or low of the previous candle, triggering stop-losses and trapping traders in the wrong direction. These sweeps often create fuel for the next move, making them powerful reversal signals.
Examples:
Long Setup: The price dips below the previous candle’s low (sweeping liquidity) and then closes higher, signaling a potential bullish move.
Short Setup: The price moves above the previous candle’s high and then closes lower, signaling a potential bearish move.
Why Use Strong Flips?
They provide fewer signals, but the accuracy is generally higher.
Ideal for trending markets where liquidity sweeps often mark key turning points.
All Flips
All Flips are less selective, offering both Strong Flips and additional signals without requiring a liquidity sweep.
This approach gives traders more frequent opportunities but comes with a higher risk of false signals, especially in sideways markets.
Examples:
Long Setup: A CBC flip occurs without sweeping the previous low, but the trend direction is confirmed (slow EMA is still above VWAP).
Short Setup: A CBC flip occurs without sweeping the previous high, but the trend is still bearish (slow EMA below VWAP).
Why Use All Flips?
Provides more frequent entries for active or aggressive traders.
Works well in trending markets but requires caution during consolidation periods.
How This Strategy Works
The strategy combines CBC Flips with multiple filters to ensure better trade quality:
Trend Confirmation: The slow EMA (20-period) must be positioned relative to the VWAP to confirm the overall trend direction.
Long Trades: Slow EMA must be above VWAP (upward trend).
Short Trades: Slow EMA must be below VWAP (downward trend).
Time-Based Filter: Traders can specify trading hours to limit entries to a particular time window, helping avoid low-volume or high-volatility periods.
Profit Target and Stop-Loss:
Profit Target: Defined as a multiple of the 14-period ATR (Average True Range). For example, if the ATR is 10 points and the profit target multiplier is set to 1.5, the strategy aims for a 15-point profit.
Stop-Loss: Uses a dynamic, candle-based stop-loss:
Long Trades: The trade closes if the market closes below the low of two candles ago.
Short Trades: The trade closes if the market closes above the high of two candles ago.
This approach adapts to recent price behavior and protects against unexpected reversals.
Customizable Settings
Strong Flips vs. All Flips: Choose between a more selective or aggressive entry style.
Profit Target Multiplier: Adjust the ATR multiplier to control the distance for profit targets.
Entry Time Range: Define specific trading hours for the strategy.
Indicators and Visuals
Fast EMA (10-Period) – Black Line
Slow EMA (20-Period) – Red Line
VWAP (Volume-Weighted Average Price) – Orange Line
Visual Labels:
▵ (Triangle Up) – Marks long entries (buy signals).
▿ (Triangle Down) – Marks short entries (sell signals).
Credits
CBC Flip Concept: Inspired by MapleStax, who teaches this concept.
Original Indicator: Developed by AsiaRoo, this strategy builds on the CBC Flip framework with additional features for improved trade management.
Risks and Disclaimer
This strategy is for educational purposes only and does not constitute financial advice.
Trading involves significant risk and may result in the loss of capital. Past performance does not guarantee future results. Use this strategy in a simulated environment before applying it to live trading.
Multi-Moving Average Buy/Sell IndicatorThis Multi-Moving Average Buy/Sell Indicator is a powerful and customizable tool designed to help traders identify potential buy and sell signals based on the interaction between price and multiple moving averages. Whether you're a day trader, swing trader, or long-term investor, this indicator provides clear visual cues and alerts to help you make informed trading decisions.
Key Features
1. Multiple Moving Averages
The indicator calculates four key moving averages:
9-period MA
20-period MA
50-period MA
180-period MA
You can choose the type of moving average:
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
WMA (Weighted Moving Average)
2. Custom Timeframe
Select a custom timeframe from a user-friendly dropdown menu:
1 Minute
5 Minutes
15 Minutes
30 Minutes
1 Hour
4 Hours
Daily
Weekly
The indicator dynamically adjusts to the selected timeframe, making it suitable for all trading styles.
3. Buy/Sell Signals
Buy Signal: Triggered when the price crosses above any of the moving averages.
Sell Signal: Triggered when the price crosses below any of the moving averages.
Signals are displayed as labels on the chart:
Green "BUY" Label: Below the bar when a buy signal is triggered.
Red "SELL" Label: Above the bar when a sell signal is triggered.
4. Visualization
Toggle the visibility of all moving averages using the showAllMAs input.
Moving averages are plotted with distinct colors for easy identification:
9 MA: Blue
20 MA: Orange
50 MA: Purple
180 MA: Teal
5. Alerts
The indicator generates alerts for buy and sell signals, which can be used for notifications or automated trading.
How to Use
Add the Indicator:
Open TradingView and go to the Pine Script Editor.
Copy and paste the script into the editor.
Click Add to Chart.
Configure Inputs:
maType: Choose the type of moving average (SMA, EMA, WMA).
timeframe: Select a custom timeframe (e.g., "1 Minute", "Daily").
showSignals: Toggle to show or hide buy/sell signals.
showAllMAs: Toggle to show or hide all moving averages.
Interpret the Signals:
Look for green "BUY" labels below the bars for potential buy opportunities.
Look for red "SELL" labels above the bars for potential sell opportunities.
Set Alerts:
Use the built-in alert system to get notified when buy or sell signals are triggered.
Example Use Cases
Day Trading
Use a 1-minute or 5-minute timeframe with an EMA for quick signals.
Example Inputs:
maType = "EMA"
timeframe = "5 Minutes"
showAllMAs = true
Swing Trading
Use a daily timeframe with an SMA for longer-term signals.
Example Inputs:
maType = "SMA"
timeframe = "Daily"
showAllMAs = false
Why Use This Indicator?
Versatility: Suitable for all trading styles and timeframes.
Customization: Choose your preferred moving average type and timeframe.
Clear Signals: Easy-to-read buy/sell labels and moving averages.
Alerts: Never miss a trading opportunity with built-in alerts.
Limitations
False Signals:
The indicator may generate false signals in choppy or sideways markets. Always combine it with other tools (e.g., RSI, volume analysis) for better accuracy.
Timeframe Dependency:
The effectiveness of the signals depends on the selected timeframe. Shorter timeframes may produce more signals but with higher noise.
No Backtesting:
The script does not include backtesting functionality. Test the strategy manually on historical data.
Customization Options
Add More Moving Averages: Modify the script to include additional moving averages (e.g., 200 MA).
Change Signal Logic: Adjust the conditions for buy/sell signals (e.g., require confirmation from multiple moving averages).
Add Alerts for Specific MAs: Create separate alerts for signals based on specific moving averages (e.g., only 9 MA or 50 MA).
Moneyball EMA-MACD indicator [VinnieTheFish]Summary of the Moneyball EMA-MACD Indicator Script
Author: VinnieTheFish
Purpose:
This indicator helps traders identify trend direction, momentum shifts, and potential trade signals based on EMA and MACD crossovers.
This Pine Script is a custom indicator that combines Exponential Moving Averages (EMAs) and MACD (Moving Average Convergence Divergence) to analyze price trends and momentum. The script uses a custom 9/50 MACD with a 16 smoothing period. The script is written in a way that you can create your own custom MACD settings and create alerts based on those parameters. The chart bars are color coded based on the relative position of the MACD and Signal line primarily for bullish long trade setups.
Bar color coding helps the trader spot potential reversals based on where the price currently resides in relation to the custom 9/50 EMA based MACD and the 16 period smoothing period for the signal line. Indicator also has custom alerts to notify the trader when a potential trade setup exists that correspond with the bar color change.
Question: So why is this called the Moneywell EMA-MACD Indicator?
Answer: In the movie Moneyball the Oakland A's broke down how to win a championship based on data. To make the playoffs you needed so many wins, then broken down by runs and then broken down to base hits. A base hit was good as a walk. With trading often times we look too often for home runs and ignore the importance of getting on base with small wins. This indicator was designed on shorter timeframes to identify those base hits, but can also be adapted to higher timeframes for swing trading.
Key Features:
User Inputs:
Configurable fast and slow lengths for MACD calculation.
Choice between SMA and EMA for oscillator and signal line smoothing.
Customizable signal smoothing length.
EMA Calculation:
Computes 3 EMA, 9 EMA, 20 EMA, and 50 EMA to track short-term and long-term trends.
MACD Calculation:
Computes MACD using either SMA or EMA based on user selection.
Generates the MACD signal line for comparison.
Crossover Conditions:
Detects MACD and Signal line crossovers above and below the zero line.
Identifies price momentum shifts.
Bar Coloring Logic:
Green: MACD is above 0 and above the signal line.
White: MACD is below the signal line.
Orange: MACD is below 0 but above the signal line.
Fuchsia: Bullish EMA 3/9 cross but price is still below the 20/50 EMA.
Alerts for Key Trading Signals:
MACD crossing above/below the zero line.
Signal line crossing above/below the zero line.
MACD reaching new highs/lows.
Alerts for colored bar conditions.
Adaptive Supply and Demand [EdgeTerminal]Adaptive Supply and Demand is a dynamic supply and demand indicator with a few unique twists. It considers volume pressure, volatility-based adjustments and multi-time frame momentum for confidence scoring (multi-step confirmation) to generate dynamic lines that adjust based on the market and also to generate dynamic support/resistance levels for the supply and demand lines.
The dynamic support and resistance lines shown gives you a better situational awareness of the current state of the market and add more context to why the market is moving into a certain direction.
> Trading Scenarios
When the confidence score is over 80%, strong volume pressure in trend direction (up or down), volatility is low and momentum is aligned across timeframes, there is an indication of a strong upward or downward trend.
When the supply and demand line crossover, the confidence score is over 75% and the volume pressure is shifting, this can be an indicator of trend reversal. Use tight initial stops, scale into position as trend develops, monitor the volume pressure for continuation and wait for confidence confirmation.
When the confiance score is below 60%, the volume pressure is choppy, volatility is high, you want to avoid trading or reduce position size, wait for confidence improvements, use support and resistance for entries/exits and use tighter stops due to market conditions. This is an indication of a ranging market.
Another scenario is when there is a sudden volume pressure increase, and a raising confidence score, the volatility is expanding and the bar momentum is aligning the volatility direction. This can indicate a breakout scenario.
> How it Works
1. Volume Pressure Analysis
Volume Pressure Analysis is a key component that measures the true buying and selling force in the market. Here's a detailed breakdown. The idea is to standardize volume to prevent large spikes from skewing results.
The indicator employs an adaptive volume normalization technique to detect genuine buying and selling pressure.
It takes current volume and divides it by average volume.
If normVol > 1: Current volume is above average
If normVol < 1: Current volume is below average
An example if this would be If current volume is 1500 and average is 1000, normVol = 1.5 (50% above average)
Another component of the volume pressure analysis is the Price Change Calculation sub-module. The purpose of this is to measure price movement relative to recent average.
It works by subtracting the average price from the current price. If the value is positive, price is average and if negative, price is below average.
Finally, the volume pressure is calculated to combine volume and price for true pressure reading.
2. Savitzky-Golay Filtering
SG filtering implements advanced signal smoothing while preserving important trend features. It uses weighted moving average approximation, preserves higher moments of data and reduces noise while maintaining signal integrity.
This results in smoother signal lines, reduced false crossovers and better trend identification. Traditional moving averages tend to lag and smooth out important features. Additionally, simple moving averages can miss critical turning points and regular smoothing can delay signal generation.
SG filtering preserves higher moments such as peaks, valleys and trends, reduces noise while maintaining signal sharpness.
It works by creating a symmetric weighting scheme. This way center points get the highest weights while edge points get the lowest weight.
3. Parkinson's Volatility
Parkinson's Volatility is an advanced volatility measurement formula using high-low range data. It uses high-low range for volatility calculation, incorporates logarithmic returns and annualized the volatility measure.
This results in more accurate volatility measurement, better risk assessment and dynamic signal sensitivity.
4. Multi-timeframe Momentum
This combines signals from each module for each timeframe to calculate momentum across three timeframes. It also applies weighted importance to each timeframe and generates a composite momentum signal.
This results in a more comprehensive trend analysis, reduced timeframe bias and better trend confirmation.
> Indicator Settings
Short-term Period:
Lower values makes it more sensitive, meaning it will generate more signals. Higher values makes it less sensitive, resulting in fewer signals. We recommend a 5 to 15 range for day trading, and 10 to 20 for swing trading
Medium-term Period:
Lower values result in faster trend confirmation and higher values show slower and more reliable confirmation. We recommend a range of 15-25 for day trading and 20-30 for swing trading.
Long-term Period:
Lower values makes it more responsive to trend changes and higher values are better for major trend identification. We recommend a range of 40-60 for day trading and 50-100 for swing trading.
Volume Analysis Window:
Lower values result in more sensitivity to volume changes and higher values result in smoother volume analysis. The optimal range is 15-25 for most trading styles.
Confidence Threshold:
Lower values generate more signals but quality decreases. Higher values generate fewer signals but accuracy increases.The optimal range is 0.65-0.8 for most trading conditions.
Money Flow Index MTF + Alerts with Candle Opacity & LabelsHow to Use the Money Flow Index MTF + Alerts with Candle Opacity & Labels Indicator
Overview:
This indicator is designed to help you gauge the buying and selling pressure in a market by using the Money Flow Index (MFI). Unlike many momentum oscillators, the MFI incorporates both price and volume, providing a unique perspective on market activity. It is particularly useful when you want to visually assess potential overbought or oversold conditions.
Indicator Components:
Money Flow Index (MFI) Calculation:
The indicator computes the MFI using a user-defined look-back period (default is 14 bars). The MFI is scaled between 0 and 100, where values above 80 typically indicate overbought conditions and values below 20 suggest oversold conditions.
Multi-Timeframe (MTF) Capability:
You can choose to calculate the MFI using either the current chart’s timeframe or a custom timeframe (for example, a 4-hour chart). This flexibility allows you to compare longer-term money flow trends against your primary trading timeframe.
Candle Opacity Based on MFI:
The opacity of the candles on your chart is dynamically adjusted based on the current MFI reading. When the MFI is high (near 100), candles become more opaque; when the MFI is low (near 0), candles appear more transparent. This visual cue can help you quickly spot changes in market momentum.
Visual Labels for Overbought/Oversold Conditions:
When the MFI crosses into the overbought territory, a red label reading “Overbought” is displayed above the high of the bar. Similarly, when it crosses into the oversold territory, a green label reading “Oversold” is placed below the low of the bar. These labels provide an immediate visual alert to potential reversal points or areas of caution.
Alert Conditions:
The script also includes alert conditions for both overbought and oversold signals. You can set up TradingView alerts so that you are notified in real time when the indicator detects these conditions.
Theory Behind the Money Flow Index (MFI):
The Money Flow Index is a momentum oscillator that uses both price and volume to signal the strength behind price moves.
Overbought Conditions: When the MFI is above 80, it suggests that buying pressure is very strong and the asset might be due for a pullback or consolidation.
Oversold Conditions: Conversely, when the MFI falls below 20, selling pressure is high and the asset might be oversold, potentially priming it for a bounce.
Keep in mind that in strong trending markets, overbought or oversold readings can persist for extended periods, so the MFI should be used in conjunction with other technical analysis tools.
Position Management Guidance:
While the indicator is useful for spotting potential overbought and oversold conditions, it is not designed to serve as an automatic signal to completely close a position. Instead, you might consider using it as a guide for pyramiding—gradually adding to your position over several days rather than exiting all at once. This approach allows you to better manage risk by:
Scaling In or Out Gradually: Instead of making one large position change, you can add or reduce your position in increments as market conditions evolve.
Diversifying Risk: Pyramiding helps you avoid the pitfalls of trying to time the market perfectly on a single trade exit or entry.
How to Get Started:
Apply the Indicator:
Add the indicator to your TradingView chart. Adjust the input settings (length, oversold/overbought levels, and resolution) as needed for your trading style and the market you’re analyzing.
Watch the Candles:
Observe the dynamic opacity of your candles. A sudden change in opacity can be a sign that the underlying money flow is shifting.
Monitor the Labels:
Pay attention to the “Overbought” or “Oversold” labels that appear. Use these cues in combination with your broader analysis to decide if it might be a good time to add to or gradually exit your position.
Set Up Alerts:
Configure TradingView alerts based on the indicator’s alert conditions so that you are notified when the MFI reaches extreme levels.
Use as Part of a Broader Strategy:
Remember, no single indicator should dictate your entire trading decision. Combine MFI signals with other technical analysis, risk management rules, and market insights to guide your trades.
Enhanced Bollinger Bands Strategy with SL/TP// Title: Enhanced Bollinger Bands Strategy with SL/TP
// Description:
// This strategy is based on the classic Bollinger Bands indicator and incorporates Stop Loss (SL) and Take Profit (TP) levels for automated trading. It identifies potential long and short entry points based on price crossing the lower and upper Bollinger Bands, respectively. The strategy allows users to customize several parameters to suit different market conditions and risk tolerances.
// Key Features:
// * **Bollinger Bands:** Uses Simple Moving Average (SMA) as the basis and calculates upper and lower bands based on a user-defined standard deviation multiplier.
// * **Customizable Parameters:** Offers extensive customization, including SMA length, standard deviation multiplier, Stop Loss (SL) in pips, and Take Profit (TP) in pips.
// * **Long/Short Position Control:** Allows users to independently enable or disable long and short positions.
// * **Stop Loss and Take Profit:** Implements Stop Loss and Take Profit levels based on pip values to manage risk and secure profits. Entry prices are set to the band levels on signals.
// * **Visualizations:** Provides options to display Bollinger Bands and entry signals on the chart for easy analysis.
// Strategy Logic:
// 1. **Bollinger Bands Calculation:** The strategy calculates the Bollinger Bands using the specified SMA length and standard deviation multiplier.
// 2. **Entry Conditions:**
// * **Long Entry:** Enters a long position when the closing price crosses above the lower Bollinger Band and the `Enable Long Positions` setting is enabled.
// * **Short Entry:** Enters a short position when the closing price crosses below the upper Bollinger Band and the `Enable Short Positions` setting is enabled.
// 3. **Exit Conditions:**
// * **Stop Loss:** Exits the position if the price reaches the Stop Loss level, calculated based on the input `Stop Loss (Pips)`.
// * **Take Profit:** Exits the position if the price reaches the Take Profit level, calculated based on the input `Take Profit (Pips)`.
// Input Parameters:
// * **SMA Length (length):** The length of the Simple Moving Average used to calculate the Bollinger Bands (default: 20).
// * **Standard Deviation Multiplier (mult):** The multiplier applied to the standard deviation to determine the width of the Bollinger Bands (default: 2.0).
// * **Enable Long Positions (enableLong):** A boolean value to enable or disable long positions (default: true).
// * **Enable Short Positions (enableShort):** A boolean value to enable or disable short positions (default: true).
// * **Pip Value (pipValue):** The value of a pip for the traded instrument. This is crucial for accurate Stop Loss and Take Profit calculations (default: 0.0001 for most currency pairs). **Important: Adjust this value to match the specific instrument you are trading.**
// * **Stop Loss (Pips) (slPips):** The Stop Loss level in pips (default: 10).
// * **Take Profit (Pips) (tpPips):** The Take Profit level in pips (default: 20).
// * **Show Bollinger Bands (showBands):** A boolean value to show or hide the Bollinger Bands on the chart (default: true).
// * **Show Entry Signals (showSignals):** A boolean value to show or hide entry signals on the chart (default: true).
// How to Use:
// 1. Add the strategy to your TradingView chart.
// 2. Adjust the input parameters to optimize the strategy for your chosen instrument and timeframe. Pay close attention to the `Pip Value`.
// 3. Backtest the strategy over different periods to evaluate its performance.
// 4. Use the `Enable Long Positions` and `Enable Short Positions` settings to customize the strategy for specific market conditions (e.g., only long positions in an uptrend).
// Important Notes and Disclaimers:
// * **Backtesting Results:** Past performance is not indicative of future results. Backtesting results can be affected by various factors, including market volatility, slippage, and transaction costs.
// * **Risk Management:** This strategy is provided for informational and educational purposes only and should not be considered financial advice. Always use proper risk management techniques when trading. Adjust Stop Loss and Take Profit levels according to your risk tolerance.
// * **Slippage:** The strategy takes into account slippage by specifying a slippage parameter on the `strategy` declaration. However, real-world slippage may vary.
// * **Market Conditions:** The performance of this strategy can vary significantly depending on market conditions. It may perform well in trending markets but poorly in ranging or choppy markets.
// * **Pip Value Accuracy:** **Ensure the `Pip Value` is correctly set for the specific instrument you are trading. Incorrect pip value will result in incorrect stop loss and take profit placement.** This is critical.
// * **Broker Compatibility:** The strategy's performance may vary depending on your broker's execution policies and fees.
// * **Disclaimer:** I am not a financial advisor, and this script is not financial advice. Use this strategy at your own risk. I am not responsible for any losses incurred while using this strategy.
Moving Volume DensityMoving Volume Density (MVD) is a custom TradingView indicator written in Pine Script™ (version 6) that blends volume analysis with price range data to offer a unique perspective on market dynamics. By measuring the total volume over a specified period and relating it to the price range during the same interval, this indicator provides valuable insights into the concentration of trading activity relative to price movement.
Key Features:
User-Defined Period: The indicator uses an input period (default 20 bars) to calculate both the total volume and the price range. This flexibility allows you to tailor the analysis to your preferred timeframe.
Volume Calculation: It computes the sum of the volume over the defined period, capturing the cumulative trading activity.
Price Range Determination: The indicator identifies the highest high and the lowest low within the period, calculating the price range (difference between the two). This range serves as the denominator in the density calculation.
Volume Density Computation: Volume Density is derived by dividing the total volume by the price range. This metric reveals how concentrated the volume is within the observed price movement. To prevent division errors, the calculation returns 'NA' when the price range is zero.
Visual Representation: The resulting Volume Density is plotted as a line on a separate sub-window, making it easy to compare with other indicators or overlay your analysis.
「Moving Volume Density (MVD) インジケーター」は、Pine Script™（バージョン6）で作成されたカスタムインジケーターです。出来高の分析と、指定期間内の高値・安値による価格レンジの情報を組み合わせることで、市場のダイナミクスに対する独自の視点を提供します。指定された期間内の合計出来高とその期間内の価格レンジの比率から、価格変動に対する出来高の集中度を示す指標となります。
主な特徴:
ユーザー定義の期間: インジケーターは、入力された期間（デフォルトは20本のバー）を基に、合計出来高と価格レンジ（最高値と最安値の差）の両方を計算します。これにより、ご自身の分析に合わせた柔軟な設定が可能です。
出来高の計算: 指定期間内の全出来高を合計することで、累積的な取引活動を把握します。
価格レンジの算出: 期間内の最高値と最安値を取得し、その差を価格レンジとして算出。このレンジは、出来高密度の計算における分母として使用されます。
出来高密度の計算: 合計出来高を価格レンジで割ることで、出来高がどれだけ価格変動内に集中しているかを示す「出来高密度」を求めます。なお、価格レンジがゼロの場合はゼロ除算を避けるため「NA」を返す設計となっています。
視覚的な表現: 計算結果はサブウィンドウにラインとしてプロットされ、他のインジケーターとの併用や比較が容易に行えます。
Bollinger Bounce Reversal Strategy – Visual EditionOverview:
The Bollinger Bounce Reversal Strategy – Visual Edition is designed to capture potential reversal moves at price extremes—often termed “bounce points”—by using a combination of technical indicators. The strategy integrates Bollinger Bands, MACD, and volume analysis, and it provides rich on‑chart visual cues to help traders understand its signals and conditions. Additionally, the strategy enforces a maximum of 5 trades per day and uses fixed risk management parameters. This publication is intended for educational purposes and offers a systematic, transparent approach that you can further adjust to fit your market or risk profile.
How It Works:
Bollinger Bands:
A 20‑period simple moving average (SMA) and a user‑defined standard deviation multiplier (default 2.0) are used to calculate the Bollinger Bands.
When the price reaches or crosses these bands (i.e. falls below the lower band or rises above the upper band), it suggests that the price is in an extreme, potentially oversold or overbought, state.
MACD Filter:
The MACD (calculated with standard lengths, e.g. 12, 26, 9) provides momentum information.
For a bullish (long) signal, the MACD line should be above its signal line; for a bearish (short) signal, the MACD line should be below.
Volume Confirmation:
The strategy uses a 20‑period volume moving average to determine if current volume is strong enough to validate a signal.
A signal is confirmed only if the current volume is at or above a specified multiple (by default, 1.0×) of this moving average, ensuring that the move is supported by increased market participation.
Visual Cues:
Bollinger Bands and Fill: The basis (SMA), upper, and lower Bollinger Bands are plotted, and the area between the upper and lower bands is filled with a semi‑transparent color.
Signal Markers: When a long or short signal is generated, corresponding markers (labels) appear on the chart.
Background Coloring: The chart’s background changes color (green for long signals and red for short signals) on the bars where signals occur.
Information Table: An on‑chart table displays key indicator values (MACD, signal line, volume, average volume) and the number of trades executed that day.
Entry Conditions:
Long Entry:
A long trade is triggered when the previous bar’s close is below the lower Bollinger Band and the current bar’s close crosses above it, combined with a bullish MACD condition and strong volume.
Short Entry:
A short trade is triggered when the previous bar’s close is above the upper Bollinger Band and the current bar’s close crosses below it, with a bearish MACD condition and high volume.
Risk Management:
Daily Trade Limit: The strategy restricts trading to no more than 5 trades per day.
Stop-Loss and Take-Profit:
For each position, a stop loss is set at a fixed percentage away from the entry price (typically 2%), and a take profit is set to target a 1:2 risk-reward ratio (typically 4% from the entry price).
Backtesting Setup:
Initial Capital: $10,000
Commission: 0.1% per trade
Slippage: 1 tick per bar
These realistic parameters help ensure that backtesting results reflect the conditions of an average trader.
Disclaimer:
Past performance is not indicative of future results. This strategy is experimental and provided solely for educational purposes. It is essential to backtest extensively and paper trade before any live deployment. All risk management practices are advisory, and you should adjust parameters to suit your own trading style and risk tolerance.
Conclusion:
By combining Bollinger Bands, MACD, and volume analysis, the Bollinger Bounce Reversal Strategy – Visual Edition provides a clear, systematic method to identify potential reversal opportunities at price extremes. The added visual cues help traders quickly interpret signals and assess market conditions, while strict risk management and a daily trade cap help keep trading disciplined. Adjust and refine the settings as needed to better suit your specific market and risk profile.
RVMM IndicatorRVMM Indicator
RVMM Indicator combines four indicators: RSI, VWAP, MFI, and Momentum to provide comprehensive technical analysis. This indicator helps traders identify potential market conditions based on the interaction of these indicators.
Components of the RVMM Indicator
1. RSI (Relative Strength Index)
RSI is a momentum indicator that measures the speed and change of price movements. RSI oscillates between 0 and 100 and is used to identify overbought and oversold conditions in the market.
Buy Level: Set at 30. When RSI falls below 30, the market is considered oversold, which may suggest a potential upward trend reversal.
Sell Level: Set at 70. When RSI rises above 70, the market is considered overbought, which may suggest a potential downward trend reversal.
2. VWAP (Volume Weighted Average Price)
VWAP is an indicator that combines price and volume to calculate the average price weighted by volume. VWAP is used to identify support and resistance areas and assess the strength of price movements.
Interpretation: If the price is above the VWAP line, the market is likely in an uptrend. If the price is below the VWAP line, the market is in a downtrend.
3. MFI (Money Flow Index)
MFI is a momentum indicator that considers both price and volume. MFI oscillates between 0 and 100 and is used to identify overbought and oversold conditions in the market.
Oversold Level: Set at 20. When MFI falls below 20, the market is considered oversold.
Overbought Level: Set at 80. When MFI rises above 80, the market is considered overbought.
4. Momentum
Momentum is an indicator that measures the speed of price changes. This indicator is used to identify the strength of a trend.
Interpretation: High momentum values indicate a strong uptrend, while low momentum values indicate a strong downtrend.
How to Use the RVMM Indicator
Interpreting Market Conditions:
RSI : Check RSI values below 30 to identify oversold conditions, and above 70 to identify overbought conditions.
VWAP : Observe whether the price is above or below the VWAP line to determine if the market is in an uptrend or downtrend.
MFI : Check if MFI is below 20 to identify oversold conditions, and above 80 to identify overbought conditions.
Momentum : Analyze momentum values to gauge the strength of the current trend.
Confirming Market Conditions:
Use VWAP, MFI, and Momentum to confirm market conditions identified by RSI.
If the price is above the VWAP line, and MFI and Momentum indicate the strength of the uptrend, the market may be in a bullish phase.
If the price is below the VWAP line, and MFI and Momentum indicate the strength of the downtrend, the market may be in a bearish phase.
Risk Management:
Set stop-loss and take-profit levels based on technical analysis and your trading preferences.
Monitor the market and adjust stop-loss and take-profit levels as market conditions change.
Example of Application
Here is an example of how to use the RVMM Indicator in practice:
Bullish Phase: When the price is above the VWAP line, RSI is below 30, and MFI and Momentum indicate the strength of the uptrend, the market is likely in a bullish phase.
Bearish Phase: When the price is below the VWAP line, RSI is above 70, and MFI and Momentum indicate the strength of the downtrend, the market is likely in a bearish phase.
Dynamic Market Structure DetectorTitle: Dynamic Market Structure Detector – Real-Time BoS & ChoCH Signals
Short Description:
Identify market structure dynamically with real-time Break of Structure (BoS) and Change of Character (ChoCH) signals. Highlight untested support and resistance zones to improve trading precision.
Full Description:
The Dynamic Market Structure Detector is a powerful TradingView indicator designed for traders who want to automate the identification of key market structure levels. This indicator simplifies market analysis by dynamically tracking swing highs and lows, marking critical Break of Structure (BoS) and Change of Character (ChoCH) points, and highlighting untested support and resistance zones.
Key Features:
1. Real-Time Signals:
• Marks Break of Structure (BoS) and Change of Character (ChoCH) points as they occur.
• Automatically updates as the market evolves.
2. Dynamic Swing Highs and Lows:
• Tracks swing highs and lows based on user-defined sensitivity (Swing Length).
• Adjust swing length to tailor signals for intraday or swing trading.
3. Untested Zones Highlight:
• Visualize untested support and resistance zones dynamically.
• Opacity settings allow customization for better chart readability.
4. Customizable Inputs:
• Swing Length:
Adjust the sensitivity of BoS and ChoCH signals.
• Smaller Swing Length values (e.g., 3–5): Capture short-term market movements, ideal for intraday trading.
• Larger Swing Length values (e.g., 10–20): Focus on significant market structure changes for swing or positional trading.
Experiment with these values to find the best fit for your trading style.
• Untested Zone Opacity:
Control the visibility of highlighted support and resistance zones.
• Lower opacity values (e.g., 10–50): Make the zones more prominent, helpful for darker chart backgrounds.
• Higher opacity values (e.g., 70–90): Provide subtle highlights, better suited for lighter chart setups.
• A value of 100% renders the zones completely transparent (invisible).
Use this setting to customize the visual appearance of your chart while still retaining key zone information.
5. User-Friendly Visualization:
• Color-coded labels for BoS (Green) and ChoCH (Red).
• Highlight zones for untested areas using customizable colors (Support: Blue, Resistance: Orange).
Why Use This Indicator?
• Simplifies market structure analysis by automating key calculations.
• Helps traders identify potential trend reversals and continuation points.
• Reduces the need for manual charting, saving time and effort.
• Provides visual clarity on untested zones for better decision-making.
Recommended Usage:
• Intraday Traders: Use smaller Swing Length values (e.g., 3–5) to capture short-term market movements.
• Swing Traders: Opt for higher Swing Length values (e.g., 10–20) to focus on larger market structure changes.
• Monitor untested zones for potential price reactions, enhancing your trade entries and exits.
Notes :
This indicator is best suited for traders who prefer price action trading and market structure analysis. While the indicator provides reliable insights, it is recommended to use it in conjunction with other analysis tools for a holistic trading approach.
Credits:
Developed by TradeTech Analysis to empower traders with automated tools for smarter trading decisions.
Breakout Detection using EMAs and Mansfield Relative StrengthThis script identifies breakout opportunities based on a combination of price action, volume, and relative strength. It is designed for daily timeframe charts and helps traders pinpoint strong bullish setups with the following criteria:
Price Action: Stock price is above both the 10-day EMA and 5-week EMA.
EMA Trends: The 10-day EMA is above the 20-day EMA, and the 5-week EMA is above the 10-week EMA, confirming bullish momentum.
Customizable Parameters: Customize the index for the Mansfield Relative Strength, the volume multiplier, and the price breakout look-back period.
Price Breakout: The price is at a 3-month high, indicating strength.
Volume Breakout: A volume spike occurs, surpassing the 20-day average volume by a user-defined multiplier.
Features:
Generates clear breakout signals with a green triangle below the bar.
Integrated Mansfield Relative Strength for relative performance analysis.
Alerts for when all conditions are met, ensuring you never miss an opportunity.
How to Use:
Add this script to a daily chart of your chosen stock.
Look for green triangle signals indicating a potential breakout.
Adjust the parameters to suit your trading strategy and preferred index for the Mansfield Relative Strength.
This tool is ideal for swing traders looking to combine technical analysis with relative strength metrics for high-conviction bullish setups.
Price Move DetectorThe Price Move Detector is a powerful technical analysis tool that automatically detects and highlights significant price movements over a user-defined time frame. This indicator allows traders to quickly identify instances where an asset has experienced a large price change, making it easier to spot potential trading opportunities.
Key Features
Customizable Parameters: Adjust the percentage change and time period (bars or sessions) to define what qualifies as a "significant" price move.
Automatic Highlighting: The indicator overlays a background highlight on the chart whenever the price moves by the specified percentage within the chosen time period.
Flexible Time Frame: Use this indicator across various timeframes and adjust the settings to suit your trading strategy, such as detecting 100% price moves over 20 sessions.
Ideal for Historical Analysis: Perfect for backtesting and screening for past price surges, helping traders spot explosive price action and market trends.
Use Cases
Spot Potential Breakouts: Use the detector to identify stocks or assets that have made significant moves, potentially signaling the start of a breakout or new trend.
Quickly Identify Major Market Moves: Scan historical data to pinpoint times when an asset experienced substantial price changes, providing insight into past performance and future potential.
How to Use
Customize the Settings
Percentage Threshold: Set the minimum percentage increase (e.g., 50%, 100%) that qualifies as a significant move. You can experiment with different percentages to suit your analysis.
Time Period (Bars): Define the lookback period (in bars/sessions) over which the price move should be measured. For example, set it to 20 bars for a one-month time frame on a daily chart.
Analyze the Highlights
Whenever the price increases by the defined percentage over the set period, the indicator will highlight that section of the chart with a background color.
The highlighted sections will make it easy to identify historical periods of large price movements, which can be useful for spotting trends, potential breakouts, or other market behaviors.
Adjust the Parameters for Your Strategy
You can fine-tune the settings to detect smaller or larger price moves depending on your trading goals.
The indicator is flexible enough for use on different timeframes and assets, providing valuable insights across various markets.
Rosiz Support 2### **Indicator Name**: Custom RSI, Stochastic, and ADX
### **Description**:
This is a multi-functional indicator that combines three popular technical analysis tools—**RSI (Relative Strength Index)**, **Stochastic Oscillator**, and **ADX (Average Directional Index)**—into a single, customizable pane. This indicator helps traders analyze momentum, overbought/oversold conditions, and trend strength simultaneously, making it a powerful tool for making informed trading decisions.
---
### **Features**:
1. **RSI (Relative Strength Index)**:
- Measures the speed and change of price movements.
- Helps identify overbought (>70) and oversold (<30) conditions.
- Includes customizable length and source options.
- Background shading visually highlights overbought and oversold zones.
2. **Stochastic Oscillator**:
- Determines momentum by comparing a security's closing price to its price range over a specific period.
- Includes %K and %D lines for crossovers, which signal potential entry or exit points.
- Highlights overbought (>80) and oversold (<20) zones with background fill.
3. **ADX (Average Directional Index)**:
- Measures trend strength (higher values indicate stronger trends).
- Includes customizable smoothing and DI (Directional Indicator) length.
---
### **How to Use**:
- **RSI**: Look for overbought or oversold conditions for potential reversal points. Divergences between price and RSI may signal weakening trends.
- **Stochastic Oscillator**: Watch for %K and %D crossovers near overbought or oversold zones to confirm buy or sell signals.
- **ADX**: Use ADX values to assess trend strength:
- **ADX > 25**: Strong trend.
- **ADX < 20**: Weak or ranging market.
---
### **Customization Options**:
- **RSI Settings**: Adjust length, source, and visual parameters.
- **Stochastic Settings**: Modify %K and %D lengths and smoothing factors.
- **ADX Settings**: Fine-tune smoothing and directional index lengths.
---
### **Advantages**:
- Combines three indicators into one, reducing chart clutter.
- Customizable inputs for flexibility in various trading strategies.
- Visual enhancements (background fills and lines) for better readability.
This indicator is perfect for traders looking to combine momentum analysis, overbought/oversold signals, and trend strength in a single tool!
Sunil BB Blast Heikin Ashi StrategySunil BB Blast Heikin Ashi Strategy
The Sunil BB Blast Heikin Ashi Strategy is a trend-following trading strategy that combines Bollinger Bands with Heikin-Ashi candles for precise market entries and exits. It aims to capitalize on price volatility while ensuring controlled risk through dynamic stop-loss and take-profit levels based on a user-defined Risk-to-Reward Ratio (RRR).
Key Features:
Trading Window:
The strategy operates within a user-defined time window (e.g., from 09:20 to 15:00) to align with market hours or other preferred trading sessions.
Trade Direction:
Users can select between Long Only, Short Only, or Long/Short trade directions, allowing flexibility depending on market conditions.
Bollinger Bands:
Bollinger Bands are used to identify potential breakout or breakdown zones. The strategy enters trades when price breaks through the upper or lower Bollinger Band, indicating a possible trend continuation.
Heikin-Ashi Candles:
Heikin-Ashi candles help smooth price action and filter out market noise. The strategy uses these candles to confirm trend direction and improve entry accuracy.
Risk Management (Risk-to-Reward Ratio):
The strategy automatically adjusts the take-profit (TP) level and stop-loss (SL) based on the selected Risk-to-Reward Ratio (RRR). This ensures that trades are risk-managed effectively.
Automated Alerts and Webhooks:
The strategy includes automated alerts for trade entries and exits. Users can set up JSON webhooks for external execution or trading automation.
Active Position Tracking:
The strategy tracks whether there is an active position (long or short) and only exits when price hits the pre-defined SL or TP levels.
Exit Conditions:
The strategy exits positions when either the take-profit (TP) or stop-loss (SL) levels are hit, ensuring risk management is adhered to.
Default Settings:
Trading Window:
09:20-15:00
This setting confines the strategy to the specified hours, ensuring trading only occurs during active market hours.
Strategy Direction:
Default: Long/Short
This allows for both long and short trades depending on market conditions. You can select "Long Only" or "Short Only" if you prefer to trade in one direction.
Bollinger Band Length (bbLength):
Default: 19
Length of the moving average used to calculate the Bollinger Bands.
Bollinger Band Multiplier (bbMultiplier):
Default: 2.0
Multiplier used to calculate the upper and lower bands. A higher multiplier increases the width of the bands, leading to fewer but more significant trades.
Take Profit Multiplier (tpMultiplier):
Default: 2.0
Multiplier used to determine the take-profit level based on the calculated stop-loss. This ensures that the profit target aligns with the selected Risk-to-Reward Ratio.
Risk-to-Reward Ratio (RRR):
Default: 1.0
The ratio used to calculate the take-profit relative to the stop-loss. A higher RRR means larger profit targets.
Trade Automation (JSON Webhooks):
Allows for integration with external systems for automated execution:
Long Entry JSON: Customizable entry condition for long positions.
Long Exit JSON: Customizable exit condition for long positions.
Short Entry JSON: Customizable entry condition for short positions.
Short Exit JSON: Customizable exit condition for short positions.
Entry Logic:
Long Entry:
The strategy enters a long position when:
The Heikin-Ashi candle shows a bullish trend (green close > open).
The price is above the upper Bollinger Band, signaling a breakout.
The previous candle also closed higher than it opened.
Short Entry:
The strategy enters a short position when:
The Heikin-Ashi candle shows a bearish trend (red close < open).
The price is below the lower Bollinger Band, signaling a breakdown.
The previous candle also closed lower than it opened.
Exit Logic:
Take-Profit (TP):
The take-profit level is calculated as a multiple of the distance between the entry price and the stop-loss level, determined by the selected Risk-to-Reward Ratio (RRR).
Stop-Loss (SL):
The stop-loss is placed at the opposite Bollinger Band level (lower for long positions, upper for short positions).
Exit Trigger:
The strategy exits a trade when either the take-profit or stop-loss level is hit.
Plotting and Visuals:
The Heikin-Ashi candles are displayed on the chart, with green candles for uptrends and red candles for downtrends.
Bollinger Bands (upper, lower, and basis) are plotted for visual reference.
Entry points for long and short trades are marked with green and red labels below and above bars, respectively.
Strategy Alerts:
Alerts are triggered when:
A long entry condition is met.
A short entry condition is met.
A trade exits (either via take-profit or stop-loss).
These alerts can be used to trigger notifications or webhook events for automated trading systems.
Notes:
The strategy is designed for use on intraday charts but can be applied to any timeframe.
It is highly customizable, allowing for tailored risk management and trading windows.
The Sunil BB Blast Heikin Ashi Strategy combines two powerful technical analysis tools (Bollinger Bands and Heikin-Ashi candles) with strong risk management, making it suitable for both beginners and experienced traders.
Feebacks are welcome from the users.
VWMACD-MFI-OBV Composite# MACD-MFI-OBV Composite
A dynamic volume-based technical indicator combining Volume-Weighted MACD, Money Flow Index (MFI), and normalized On Balance Volume (OBV). This composite indicator excels at identifying breakouts and strong trend movements through multiple volume confirmations, making it particularly effective for momentum and high-volatility trading environments.
## Overview
The indicator integrates trend, momentum, and cumulative volume analysis into a unified visualization system. Each component is carefully normalized to enable direct comparison, while the background color system provides instant trend recognition. This version is specifically optimized for breakout detection and strong trend confirmation.
## Core Components
### Volume-Weighted MACD
Visualized through the background color system, this enhanced MACD implementation uses Volume-Weighted Moving Averages (VWMA) instead of traditional EMAs. This modification ensures greater sensitivity to volume-supported price movements while filtering out less significant low-volume price changes. The background alternates between green (bullish) and red (bearish) to provide immediate trend feedback.
### Money Flow Index (MFI)
Displayed as the purple line, the MFI functions as a volume-weighted momentum oscillator. Operating within a natural 0-100 range, it helps identify potential overbought and oversold conditions while confirming volume support for price movements. The MFI is particularly effective at validating breakout momentum.
### Normalized On Balance Volume (OBV)
The white line represents normalized OBV, providing insight into cumulative buying and selling pressure. The normalization process scales OBV to match other components while maintaining its ability to confirm price trends through volume analysis. This component excels at identifying strong breakout movements and volume surges.
## Signal Integration
The indicator generates its most powerful signals when all three components align, particularly during breakout conditions:
Strong Bullish Signals develop when:
- Background shifts to green (VWMACD bullish)
- MFI shows strong upward momentum
- OBV demonstrates sharp volume accumulation
Strong Bearish Signals emerge when:
- Background turns red (VWMACD bearish)
- MFI exhibits downward momentum
- OBV shows significant volume distribution
## Market Application
This indicator variant is specifically designed for:
Breakout Trading:
The OBV component provides excellent sensitivity to volume surges, making it ideal for breakout confirmation and momentum validation.
Trend Following:
Sharp OBV movements combined with MFI momentum help identify and confirm strong trending conditions.
High Volatility Markets:
The indicator's design excels in active, volatile markets where clear signal generation is crucial for decision-making.
## Technical Implementation
Default Parameters:
Volume-Weighted MACD maintains traditional periods (12/26/9) while leveraging volume weighting. MFI uses standard 14-period calculation with 80/20 overbought/oversold thresholds. All components undergo normalization over a 100-period lookback for stable comparison.
Visual Elements:
- Background: VWMACD trend indication (green/red)
- Purple Line: Money Flow Index
- White Line: Normalized OBV
- Yellow Line: Combined signal (arithmetic mean of normalized components)
- Reference Lines: Key levels at 20, 50, and 80
## Trading Methodology
The indicator supports a systematic approach to breakout and momentum trading:
1. Breakout Identification
Monitor for background color changes accompanied by significant OBV movement, indicating potential breakout conditions.
2. Volume Surge Confirmation
Examine OBV slope and magnitude to confirm genuine breakout scenarios versus false moves.
3. Momentum Validation
Use MFI to confirm breakout strength and identify potential exhaustion points.
4. Combined Signal Analysis
The yellow line provides a unified view of all components, helping identify high-probability breakout opportunities.
## Interpretation Guidelines
Breakout Confirmation:
Strong breakouts typically show alignment of all three components with notable OBV surge. This configuration often precedes significant price movements.
Trend Strength:
Continuous OBV expansion during trends, supported by steady MFI readings, suggests sustained momentum.
## Market Selection
Optimal Markets Include:
- High-beta growth stocks
- Momentum-driven securities
- Stocks with significant volatility
- Active trading instruments
- Examples: TSLA, NVDA, growth stocks
## Version Information
Current Version: 2.0.0
This indicator represents a specialized adaptation of volume-based analysis, optimized for breakout trading and momentum strategies in high-volatility environments.
FACTOR MONITORThe Factor Monitor is a comprehensive designed to track relative strength and standard deviation movements across multiple market segments and investment factors. The indicator calculates and displays normalized percentage moves and their statistical significance (measured in standard deviations) across daily, 5-day, and 20-day periods, providing a multi-timeframe view of market dynamics.
Key Features:
Real-time tracking of relative performance between various ETF pairs (e.g., QQQ vs SPY, IWM vs SPY)
Standard deviation scoring system that identifies statistically significant moves
Color-coded visualization (green/red) for quick interpretation of relative strength
Multiple timeframe analysis (1-day, 5-day, and 20-day moves)
Monitoring of key market segments:
Style factors (Value, Growth, Momentum)
Market cap segments (Large, Mid, Small)
Sector relative strength
Risk factors (High Beta vs Low Volatility)
Credit conditions (High Yield vs Investment Grade)
The tool is particularly valuable for:
Identifying significant factor rotations in the market
Assessing market breadth through relative strength comparisons
Spotting potential trend changes through statistical deviation analysis
Monitoring sector leadership and market regime shifts
Quantifying the magnitude of market moves relative to historical norms
