Multi-Timeframe MACD Strategy ver 1.0Multi-Timeframe MACD Strategy: Enhanced Trend Trading with Customizable Entry and Trailing Stop
This strategy utilizes the Moving Average Convergence Divergence (MACD) indicator across multiple timeframes to identify strong trends, generate precise entry and exit signals, and manage risk with an optional trailing stop loss. By combining the insights of both the current chart's timeframe and a user-defined higher timeframe, this strategy aims to improve trade accuracy, reduce exposure to false signals, and capture larger market moves.
Key Features:
Dual Timeframe Analysis: Calculates and analyzes the MACD on both the current chart's timeframe and a user-selected higher timeframe (e.g., Daily MACD on a 1-hour chart). This provides a broader market context, helping to confirm trends and filter out short-term noise.
Configurable MACD: Fine-tune the MACD calculation with adjustable Fast Length, Slow Length, and Signal Length parameters. Optimize the indicator's sensitivity to match your trading style and the volatility of the asset.
Flexible Entry Options: Choose between three distinct entry types:
Crossover: Enters trades when the MACD line crosses above (long) or below (short) the Signal line.
Zero Cross: Enters trades when the MACD line crosses above (long) or below (short) the zero line.
Both: Combines both Crossover and Zero Cross signals, providing more potential entry opportunities.
Independent Timeframe Control: Display and trade based on the current timeframe MACD, the higher timeframe MACD, or both. This allows you to focus on the information most relevant to your analysis.
Optional Trailing Stop Loss: Implements a configurable trailing stop loss to protect profits and limit potential losses. The trailing stop is adjusted dynamically as the price moves in your favor, based on a user-defined percentage.
No Repainting: Employs lookahead=barmerge.lookahead_off in the request.security() function to prevent data leakage and ensure accurate backtesting and real-time signals.
Clear Visual Signals (Optional): Includes optional plotting of the MACD and Signal lines for both timeframes, with distinct colors for easy visual identification. These plots are for visual confirmation and are not required for the strategy's logic.
Suitable for Various Trading Styles: Adaptable to swing trading, day trading, and trend-following strategies across diverse markets (stocks, forex, cryptocurrencies, etc.).
Fully Customizable: All parameters are adjustable, including timeframes, MACD Settings, Entry signal type and trailing stop settings.
How it Works:
MACD Calculation: The strategy calculates the MACD (using the standard formula) for both the current chart's timeframe and the specified higher timeframe.
Trend Identification: The relationship between the MACD line, Signal line, and zero line is used to determine the current trend for each timeframe.
Entry Signals: Buy/sell signals are generated based on the selected "Entry Type":
Crossover: A long signal is generated when the MACD line crosses above the Signal line, and both timeframes are in agreement (if both are enabled). A short signal is generated when the MACD line crosses below the Signal line, and both timeframes are in agreement.
Zero Cross: A long signal is generated when the MACD line crosses above the zero line, and both timeframes agree. A short signal is generated when the MACD line crosses below the zero line and both timeframes agree.
Both: Combines Crossover and Zero Cross signals.
Trailing Stop Loss (Optional): If enabled, a trailing stop loss is set at a specified percentage below (for long positions) or above (for short positions) the entry price. The stop-loss is automatically adjusted as the price moves favorably.
Exit Signals:
Without Trailing Stop: Positions are closed when the MACD signals reverse according to the selected "Entry Type" (e.g., a long position is closed when the MACD line crosses below the Signal line if using "Crossover" entries).
With Trailing Stop: Positions are closed if the price hits the trailing stop loss.
Backtesting and Optimization: The strategy automatically backtests on the chart's historical data, allowing you to assess its performance and optimize parameters for different assets and timeframes.
Example Use Cases:
Confirming Trend Strength: A trader on a 1-hour chart sees a bullish MACD crossover on the current timeframe. They check the MTF MACD strategy and see that the Daily MACD is also bullish, confirming the strength of the uptrend.
Filtering Noise: A trader using a 15-minute chart wants to avoid false signals from short-term volatility. They use the strategy with a 4-hour higher timeframe to filter out noise and only trade in the direction of the dominant trend.
Dynamic Risk Management: A trader enters a long position and enables the trailing stop loss. As the price rises, the trailing stop is automatically adjusted upwards, protecting profits. The trade is exited either when the MACD reverses or when the price hits the trailing stop.
Disclaimer:
The MACD is a lagging indicator and can produce false signals, especially in ranging markets. This strategy is for educational and informational purposes only and should not be considered financial advice. Backtest and optimize the strategy thoroughly, combine it with other technical analysis tools, and always implement sound risk management practices before using it with real capital. Past performance is not indicative of future results. Conduct your own due diligence and consider your risk tolerance before making any trading decisions.
Educational
Multi-Timeframe Parabolic SAR Strategy ver 1.0Multi-Timeframe Parabolic SAR Strategy (MTF PSAR) - Enhanced Trend Trading
This strategy leverages the power of the Parabolic SAR (Stop and Reverse) indicator across multiple timeframes to provide robust trend identification, precise entry/exit signals, and dynamic trailing stop management. By combining the insights of both the current chart's timeframe and a user-defined higher timeframe, this strategy aims to improve trading accuracy, reduce risk, and capture more significant market moves.
Key Features:
Dual Timeframe Analysis: Simultaneously analyzes the Parabolic SAR on the current chart and a higher timeframe (e.g., Daily PSAR on a 1-hour chart). This allows you to align your trades with the dominant trend and filter out noise from lower timeframes.
Configurable PSAR: Fine-tune the PSAR calculation with adjustable Start, Increment, and Maximum values to optimize sensitivity for your trading style and the asset's volatility.
Independent Timeframe Control: Choose to display and trade based on either or both the current timeframe PSAR and the higher timeframe PSAR. Focus on the most relevant information for your analysis.
Clear Visual Signals: Distinct colors for the current and higher timeframe PSAR dots provide a clear visual representation of potential entry and exit points.
Multiple Entry Strategies: The strategy offers flexible entry conditions, allowing you to trade based on:
Confirmation: Both current and higher timeframe PSAR signals agree and the current timeframe PSAR has just flipped direction. (Most conservative)
Current Timeframe Only: Trades based solely on the current timeframe PSAR, ideal for when the higher timeframe is less relevant or disabled.
Higher Timeframe Only: Trades based solely on the higher timeframe PSAR.
Dynamic Trailing Stop (PSAR-Based): Implements a trailing stop-loss based on the current timeframe's Parabolic SAR. This helps protect profits by automatically adjusting the stop-loss as the price moves in your favor. Exits are triggered when either the current or HTF PSAR flips.
No Repainting: Uses lookahead=barmerge.lookahead_off in the security() function to ensure that the higher timeframe data is accessed without any data leakage, preventing repainting issues.
Fully Configurable: All parameters (PSAR settings, higher timeframe, visibility, colors) are adjustable through the strategy's settings panel, allowing for extensive customization and optimization.
Suitable for Various Trading Styles: Applicable to swing trading, day trading, and trend-following strategies across various markets (stocks, forex, cryptocurrencies, etc.).
How it Works:
PSAR Calculation: The strategy calculates the standard Parabolic SAR for both the current chart's timeframe and the selected higher timeframe.
Trend Identification: The direction of the PSAR (dots below price = uptrend, dots above price = downtrend) determines the current trend for each timeframe.
Entry Signals: The strategy generates buy/sell signals based on the chosen entry strategy (Confirmation, Current Timeframe Only, or Higher Timeframe Only). The Confirmation strategy offers the highest probability signals by requiring agreement between both timeframes.
Trailing Stop Exit: Once a position is entered, the strategy uses the current timeframe PSAR as a dynamic trailing stop. The stop-loss is automatically adjusted as the PSAR dots move, helping to lock in profits and limit losses. The strategy exits when either the Current or HTF PSAR changes direction.
Backtesting and Optimization: The strategy automatically backtests on the chart's historical data, allowing you to evaluate its performance and optimize the settings for different assets and timeframes.
Example Use Cases:
Trend Confirmation: A trader on a 1-hour chart observes a bullish PSAR flip on the current timeframe. They check the MTF PSAR strategy and see that the Daily PSAR is also bullish, confirming the strength of the uptrend and providing a high-probability long entry signal.
Filtering Noise: A trader on a 5-minute chart wants to avoid whipsaws caused by short-term price fluctuations. They use the strategy with a 1-hour higher timeframe to filter out noise and only trade in the direction of the dominant trend.
Dynamic Risk Management: A trader enters a long position and uses the current timeframe PSAR as a trailing stop. As the price rises, the PSAR dots move upwards, automatically raising the stop-loss and protecting profits. The trade is exited when the current (or HTF) PSAR flips to bearish.
Disclaimer:
The Parabolic SAR is a lagging indicator and can produce false signals, particularly in ranging or choppy markets. This strategy is intended for educational and informational purposes only and should not be considered financial advice. It is essential to backtest and optimize the strategy thoroughly, use it in conjunction with other technical analysis tools, and implement sound risk management practices before using it with real capital. Past performance is not indicative of future results. Always conduct your own due diligence and consider your risk tolerance before making any trading decisions.
UT Bot Alerts – Time Filtered with ExitsThis indicator combines several technical approaches to generate precise entry and exit signals, while incorporating time filters that ensure signals are sent only during desired time windows and with defined cooldown periods. It is based on the original idea by QuantNomad.
Main Components:
ATR-based Trailing Stop:
Using the Average True Range (ATR) and an adjustable multiplier ("Key Value"), a dynamic trailing stop is calculated that adapts to the current price. This trailing stop forms the basis for the signal generation.
EMA-based Entry Signals:
A very short exponential moving average (EMA, period 1) is used in combination with the trailing stop to identify clear buy (long) and sell (short) signals via crossovers. An additional buffer zone helps reduce false signals.
Persistent Trade State:
The current state (long, short, or neutral) is maintained so that the system remains in the trend until a new signal is generated.
Linear Regression as Reference:
A linear regression line computed over a defined period serves as a reference for determining exit levels.
Exit Signals with Delay:
Exit signals are generated when the price deviates from the linear regression line by a defined percentage (Exit Signal Deviation) and the condition persists for at least a specified number of bars (Exit Signal Delay). Only one exit signal is issued per trade to avoid excessive exits.
Time Filters and Cooldown:
Session Filter: A user-defined session (e.g., "2200-0500") can disable signals during specified periods.
Cooldown Period: After a signal is triggered, a cooldown phase (in minutes) can be set during which no new signals are sent.
Visual Display and Alerts:
Entry Signals: Buy and sell signals are displayed as labels (green for long, red for short).
Exit Signals: Exit signals appear as triangles, with the exit long signal text displayed in white.
Reference Lines:
The upper exit level (Exit Short Level) is drawn as a solid line in turquoise (color.aqua).
The lower exit level (Exit Long Level) is drawn as a solid line in yellow.
Additionally, the ATR trailing stop and the linear regression line are clearly plotted on the chart.
Alerts can be configured for all signal types.
In Summary:
The indicator delivers precise entry signals based on an ATR trailing stop and a short EMA, supplemented by dynamic exit levels determined via linear regression. With integrated time filters (session and cooldown) and a flexible exit mechanism, this indicator offers controlled trade management—ideal for traders who wish to receive signals only during desired time periods.
Original Author: QuantNomad
Multi-Timeframe PSAR Indicator ver 1.0Enhance your trend analysis with the Multi-Timeframe Parabolic SAR (MTF PSAR) indicator! This powerful tool displays the Parabolic SAR (Stop and Reverse) from both the current chart's timeframe and a higher timeframe, all in one convenient view. Identify potential trend reversals and set dynamic trailing stops with greater confidence by understanding the broader market context.
Key Features:
Dual Timeframe Analysis: Simultaneously visualize the PSAR on your current chart and a user-defined higher timeframe (e.g., see the Daily PSAR while trading on the 1-hour chart). This helps you align your trades with the dominant trend.
Customizable PSAR Settings: Fine-tune the PSAR calculation with adjustable Start, Increment, and Maximum values. Optimize the indicator's sensitivity to match your trading style and the volatility of the asset.
Independent Timeframe Control: Choose to display either or both the current timeframe PSAR and the higher timeframe PSAR. Focus on the information most relevant to your analysis.
Clear Visual Representation: Distinct colors for the current and higher timeframe PSAR dots make it easy to differentiate between the two. Quickly identify potential entry and exit points.
Configurable Colors You can easily change colors of Current and HTF PSAR.
Standard PSAR Logic: Uses the classic Parabolic SAR algorithm, providing a reliable and widely-understood trend-following indicator.
lookahead=barmerge.lookahead_off used in the security function, there is no data leak or repainting.
Benefits:
Improved Trend Identification: Spot potential trend changes earlier by observing divergences between the current and higher timeframe PSAR.
Enhanced Risk Management: Use the PSAR as a dynamic trailing stop-loss to protect profits and limit potential losses.
Greater Trading Confidence: Make more informed decisions by considering the broader market trend.
Reduced Chart Clutter: Avoid the need to switch between multiple charts to analyze different timeframes.
Versatile Application: Suitable for various trading styles (swing trading, day trading, trend following) and markets (stocks, forex, crypto, etc.).
How to Use:
Add to Chart: Add the "Multi-Timeframe PSAR" indicator to your TradingView chart.
Configure Settings:
PSAR Settings: Adjust the Start, Increment, and Maximum values to control the PSAR's sensitivity.
Multi-Timeframe Settings: Select the desired "Higher Timeframe PSAR" resolution (e.g., "D" for Daily). Enable or disable the display of the current and/or higher timeframe PSAR using the checkboxes.
Interpret Signals:
Current Timeframe PSAR: Dots below the price suggest an uptrend; dots above the price suggest a downtrend.
Higher Timeframe PSAR: Provides context for the overall trend. Agreement between the current and higher timeframe PSAR strengthens the trend signal. Divergences may indicate potential reversals.
Trade Management:
Use PSAR dots as dynamic trailing stop.
Example Use Cases:
Confirming Trend Strength: A trader on a 1-hour chart sees the 1-hour PSAR flip bullish (dots below the price). They check the MTF PSAR and see that the Daily PSAR is also bullish, confirming the strength of the uptrend.
Identifying Potential Reversals: A trader sees the current timeframe PSAR flip bearish, but the higher timeframe PSAR remains bullish. This divergence could signal a potential pullback within a larger uptrend, or a warning of a more significant reversal.
Trailing Stops: A trader enters a long position and uses the current timeframe PSAR as a trailing stop, moving their stop-loss up as the PSAR dots rise.
Disclaimer: The Parabolic SAR is a lagging indicator and may produce false signals, especially in ranging markets. It is recommended to use this indicator in conjunction with other technical analysis tools and risk management strategies. Past performance is not indicative of future results.
XGBoost Approximation Indicator with HTF Filter Ver. 3.2XGBoost Approx Indicator with Higher Timeframe Filter Ver. 3.2
What It Is
The XGBoost Approx Indicator is a technical analysis tool designed to generate trading signals based on a composite of multiple indicators. It combines Simple Moving Average (SMA), Relative Strength Index (RSI), MACD, Rate of Change (ROC), and Volume to create a composite indicator score. Additionally, it incorporates a higher timeframe filter (HTF) to enhance trend confirmation and reduce false signals.
This indicator helps traders identify long (buy) and short (sell) opportunities based on a weighted combination of trend-following and momentum indicators.
How to Use It Properly
Setup and Configuration:
Add the indicator to your TradingView chart.
Customize input settings based on your trading strategy. Key configurable inputs include:
HTF filter (default: 1-hour)
SMA, RSI, MACD, and ROC lengths
Custom weightings for each component
Thresholds for buy and sell signals
Understanding the Signals:
Green "Long" Label: Appears when the composite indicator crosses above the buy threshold, signaling a potential buy opportunity.
Red "Short" Label: Appears when the composite indicator crosses below the sell threshold, signaling a potential sell opportunity.
These signals are filtered by a higher timeframe SMA trend to improve accuracy.
Alerts:
The indicator provides alert conditions for long and short entries.
Traders can enable alerts in TradingView to receive real-time notifications when a new signal is triggered.
Safety and Best Practices
Use in Conjunction with Other Analysis: Do not rely solely on this indicator. Combine it with price action, support/resistance levels, and fundamental analysis for better decision-making.
Adjust Settings for Your Strategy: The default settings may not suit all markets or timeframes. Test different configurations before trading live.
Backtest Before Using in Live Trading: Evaluate the indicator’s past performance on historical data to assess its effectiveness in different market conditions.
Avoid Overtrading: False signals can occur, especially in low volatility or choppy markets. Use additional confirmation (e.g., trendlines or moving averages).
Risk Management: Always set stop-loss levels and position sizes to limit potential losses.
Highs & Lows - Multi TimeFrame### **📌 HL-MWD (Highs & Lows - Multi Timeframe Indicator) – Community Release**
#### **🔹 Overview**
The **HL-MWD Indicator** is a **multi-timeframe support & resistance tool** that plots **historical highs and lows** from **daily, weekly, and monthly timeframes** onto an intraday chart. It helps traders **identify key levels of support and resistance** that have influenced price action over different timeframes.
This indicator is useful for **day traders, swing traders, and position traders** who rely on **multi-timeframe analysis** to spot critical price levels.
---
### **🔥 Key Features**
✅ **Plots Highs & Lows for Daily, Weekly, and Monthly Timeframes**
✅ **Customizable Lookback Periods for Each Timeframe**
✅ **Adjustable Line Colors, Styles (Solid, Dotted, Dashed), and Widths**
✅ **Extend Lines into the Future to Identify Key Price Levels**
✅ **Option to Display Price Labels for Each Level**
✅ **Gradient Option to Highlight Recent Highs & Lows (Disabled by Default)**
✅ **Compatible with Intraday, Daily, and Weekly Charts**
---
### **📈 How It Works**
- **Daily Highs & Lows:** Captures the **highest and lowest prices** within the selected lookback period (default: **14 bars**).
- **Weekly Highs & Lows:** Marks the **highest and lowest prices** within the chosen weekly lookback (default: **52 bars**).
- **Monthly Highs & Lows:** Displays the **high and low points** from the monthly timeframe (default: **36 bars**).
- **Extended Lines:** Project past highs and lows **into the future** to help identify **potential support & resistance zones**.
---
### **⚠️ TradingView Lookback Limitations**
🔹 **TradingView has a limit on how many historical bars can be accessed per timeframe**, which affects how far back the indicator can retrieve data.
🔹 **Intraday charts (e.g., 5m, 15m) have a limited number of past bars**, meaning:
- **You won’t be able to view 36 months' worth of monthly levels** on a **5-minute chart**, because TradingView doesn’t store that much data in lower timeframes.
- **If multiple timeframes (e.g., weekly + monthly) are enabled at the same time**, some historical data may **not be available on shorter timeframes**.
🔹 **Recommendation:**
- If using **monthly lookbacks (36 months+), view them on a daily or higher timeframe**.
- If using **weekly lookbacks (52 weeks+), higher intraday timeframes (e.g., 1-hour, 4-hour) are better suited**.
- **Lower timeframes (1m, 5m, 15m) may miss some levels** if TradingView's bar limit is exceeded.
---
### **⚙️ Customization Options**
| **Setting** | **Default Value** | **Description** |
|------------------|----------------|----------------|
| **Daily Lookback** | `14` | Number of bars used to calculate daily highs/lows. |
| **Weekly Lookback** | `52` | Number of bars used to calculate weekly highs/lows. |
| **Monthly Lookback** | `36` | Number of bars used to calculate monthly highs/lows. |
| **Line Colors** | Daily: `Blue` Weekly: `Green` Monthly: `Red` | Customizable colors for each timeframe. |
| **Line Style** | `Solid` | Options: Solid, Dashed, Dotted. |
| **Line Width** | `1` | Thickness of the plotted lines. |
| **Extend Line** | `1` | Controls how far the highs/lows extend into the future. |
| **Display Price Labels** | `Enabled` | Shows price labels on each level. |
---
### **🛠️ How to Use It**
- **Enable/disable different timeframes** based on your strategy.
- **Customize colors, line styles, and widths** to match your charting style.
- **Use extended lines to identify support & resistance zones.**
- **Watch price reactions at these levels** for potential entries, exits, and stop-loss placements.
---
### **🚀 Final Thoughts**
The **HL-MWD Indicator** is a **powerful multi-timeframe tool** that helps traders **visualize key support & resistance levels** from higher timeframes on an intraday chart.
⚠️ **However, TradingView’s lookback limits apply—so for longer-term levels, higher timeframes are recommended.**
📌 **Now published for the community!** Let me know if you need any last-minute tweaks! 🔥
Big Boss Order Detector by GSK-VIZAG-AP-INDIABig Boss Order Detector by GSK-VIZAG-AP-INDIA
Overview
The Big Boss Order Detector is designed to help traders identify significant buying and selling activity based on volume and price action. It filters out normal transactions and highlights large institutional orders, helping traders spot potential smart money movements.
This indicator classifies large orders into two categories:
Large Orders – These are detected when the volume exceeds a predefined multiple of the volume SMA, with minimal price movement between open and close.
High Volume Orders – Stricter conditions apply, where volume is even higher, and the price movement remains within a tighter threshold.
By tracking these key market activities, traders can gain insights into potential reversals, breakouts, or the presence of institutional buying and selling.
How It Works
The indicator calculates a Simple Moving Average (SMA) of volume over a user-defined period (default: 50 candles). It then sets two volume-based thresholds:
Large Orders: When the volume is greater than a multiple (default: 2×) of the SMA and price movement between open and close is within a certain percentage threshold (default: 0.05%).
High Volume Orders: When the volume surpasses an even higher threshold (default: 3× the SMA) with stricter price movement (default: 0.02%).
Key Conditions for Order Detection
Large Buy Order: Volume exceeds the threshold, and the closing price is greater than the opening price.
Large Sell Order: Volume exceeds the threshold, and the closing price is lower than the opening price.
High Volume Buy Order: A stricter volume condition is met, and the price closes higher than it opened.
High Volume Sell Order: A stricter volume condition is met, and the price closes lower than it opened.
Indicator Features
🔹 Visual Signals on Chart
Orange Up Arrow (▲) → Large Buy Order
Purple Down Arrow (▼) → Large Sell Order
"Big🐂" (Blue Label Up) → High Volume Buy Order
"Big🐻" (Red Label Down) → High Volume Sell Order
🔹 Alerts for Trading Opportunities
Large Orders Alerts: Notifies when a large buy or sell order is detected.
High Volume Orders Alerts: Identifies potential high volume buy or sell orders.
Traders can set up these alerts in TradingView for real-time notifications.
Use Cases & Trading Insights
Detect High-Impact Trades: Large orders often indicate activity from big market participants who can influence price movements.
Confirm Trend Strength: When large buy orders appear in an uptrend, it may signal trend continuation. Similarly, large sell orders in a downtrend could confirm further weakness.
Spot Potential Reversals: High-volume orders with limited price movement may suggest accumulation (bullish) or distribution (bearish).
🔹 ⚠️ Important Note:
Not every large buy represents fresh buying; some could be short covering. Similarly, large selling could be long liquidation rather than fresh shorting. Always use this indicator with other technical tools and risk management strategies.
Additional Tip: Using This Indicator on Heikin-Ashi Charts
While this indicator is designed for standard candlestick charts, traders who use Heikin-Ashi candles may find it helpful for smoother trend visualization. Since Heikin-Ashi modifies price calculations, volume-based signals may appear slightly different compared to regular candles. Use it as a complementary tool rather than a strict signal generator.
Customization Options
Volume SMA Length (default: 50 candles) – Adjust the sensitivity of volume detection.
Volume Multipliers – Change the thresholds for detecting large and high-volume orders.
Price Difference Thresholds – Modify how strictly price movements are considered for filtering orders.
This flexibility allows traders to fine-tune the indicator to match different trading styles and asset classes.
Importance of Input Settings.
Setting Recommended Values Purpose
Volume SMA Length 20, 30, 50 Defines the baseline average volume for comparison. A shorter SMA (20) reacts faster, while a longer SMA (50) smooths out fluctuations.
Large Order Multiplier 1, 2, 3 Determines how much higher the volume should be compared to the SMA to qualify as a large order. A lower value captures more signals; a higher value filters out noise.
High Volume Order Multiplier 1.5, 2, 2.5 Stricter volume threshold for detecting high-impact trades. Use higher values for highly liquid markets.
Price Difference Threshold (Points) 5, 10, or more Defines the max allowed difference between open and close for large orders. Higher values capture more trades but may include noise.
High Volume Price Threshold (Points) 20 or based on price Stricter price movement condition for high-volume orders. For low-priced stocks, 20 points may be too much—adjust based on asset volatility.
The effectiveness of this indicator depends on its input settings, as they allow traders to fine-tune the detection of high-impact trades based on market conditions. Adjusting parameters like Volume SMA Length, Volume Multipliers, and Price Difference Thresholds can help optimize signals for different assets, timeframes, and volatility levels.
For best results, experiment with these settings and adapt them to suit your trading strategy.
Final Thoughts
The Big Boss Order Detector is a powerful tool for tracking institutional activity and understanding volume dynamics in the market. However, it should be used alongside other indicators and price action analysis to make informed trading decisions.
Give it a try and enhance your market insights! 🚀📈
📢 Share Your Experience!
Your feedback is valuable! If you find this indicator useful, leave a comment with your experience—how it worked for you, any improvements you suggest, or the best settings you discovered.
Let’s build a community of traders refining strategies together! 🚀📊
Disclaimer:
This indicator is for educational and informational purposes only. It does not guarantee profitable trades and should be used with proper risk management. Always conduct your own research before making trading decisions.
Democratic MultiAsset Strategy [BerlinCode42]Happy Trade,
Intro
Included Trade Concept
Included Indicators and Compare-Functions
Usage and Example
Settings Menu
Declaration for Tradingview House Rules on Script Publishing
Disclaimer
Conclusion
1. Intro
This is the first multi-asset strategy available on TradingView—a market breadth multi-asset trading strategy with integrated webhooks, backtesting capabilities, and essential strategy components like Take Profit, Stop Loss, Trailing, Hedging, Time & Session Filters, and Alerts.
How It Trades? At the start of each new bar, one asset from a set of eight is selected to go long or short. As long there is available cash and the selected asset meets the minimum criteria.
The selection process works through a voting system, similar to a democracy. Each asset is evaluated using up to five indicators that the user can choose. The asset with the highest overall voting score is picked for the trade. If no asset meets all criteria, no trade is executed, and the cash reserve remains untouched for future opportunities.
How to Set Up This Market Breadth Strategy:
Choose eight assets from the same market (e.g., cryptos or big tech stocks).
Select one to five indicators for the voting system.
Refine the strategy by adjusting Take Profit, Stop Loss, Hedging, Trailing, and Filters.
2. Voting as the included Trade Concept
The world of financial trading is filled with both risks and opportunities, and the key challenge is to identify the right opportunities, manage risks, and do both right on time.
There are countless indicators designed to spot opportunities and filter out risks, but no indicator is perfect—they only work statistically, hitting the right signals more often than the wrong ones.
The goal of this strategy is to increase the accuracy of these Indicators by:
Supervising a larger number of assets
Filtering out less promising opportunities
This is achieved through a voting system that compares indicator values across eight different assets. It doesn't just compare long trades—it also evaluates long vs. short positions to identify the most promising trade.
Why focus on one asset class? While you can randomly select assets from different asset classes, doing so prevents the algorithm from identifying the strongest asset within a single class. Think about, within one asset class there is often a major trend whereby different asset classes has not really such behavior.
And, you don’t necessarily need trading in multiple classes—this algorithm is designed to generate profits in both bullish and bearish markets. So when ever an asset class rise or fall the voting system ensure to jump on the strongest asset. So this focusing on one asset class is an integral part of this strategy. This all leads to more stable and robust trading results compared to handling each asset separately.
3. Included Indicators and Compare-Functions
You can choose from 17 different indicators, each offering different types of signals:
Some provide a directional signal
Some offer a simple on/off signal
Some provide both
Available Indicators: RSI, Stochastic RSI, MFI, Price, Volume, Volume Oscillator, Pressure, Bilson Gann Trend, Confluence, TDI, SMA, EMA, WMA, HMA, VWAP, ZLMA, T3MA
However, these indicators alone do not generate trade signals. To do so, they must be compared with thresholds or other indicators using specific comparison functions.
Example – RSI as a Trade Signal. The RSI provides a value between 0 and 100. A common interpretation is:
RSI over 80 → Signal to go short or exit a long trade
RSI under 20 → Signal to go long or exit a short trade
Here, two comparison functions and two thresholds are used to determine trade signals.
Below is the full set of available comparison functions, where: I represents the indicator’s value and A represents the comparator’s value.
I < A if I smaller A then trade signal
I > A if I bigger A then trade signal
I = A if I equal to A then trade signal
I != A if I not equal to A then trade signal
A <> B if I bigger A and I smaller B then trade signal
A >< B if I smaller A then long trade signal or if I bigger B then short trade signal
Image 1
In Image 1, you can see one of five input sections, where you define an indicator along with its function, comparator, and constants. For our RSI example, we select:
Indicator: RSI
Function: >< (greater/less than)
Comparator: Constant
Constants: A = 20, B = 80
With these settings a go short signal is triggered when RSI crosses above 80. And a go long signal is triggered when RSI crosses below 20.
Relative Strength Indicator: The RSI from the public TradingView library provides a directional trade signal. You can adjust the price source and period length in the indicator settings.
Stochastic Relative Strength Indicator: As above the Stoch RSI offers a trade signal with direction. It is calculated out of the RSI, the stochastic derivation and the SMA from the Tradingview library. You can set the in-going price source and the period length for the RSI, for the Stochastic Derivation and for the SMA as blurring in the Indicator settings section.
Money Flow Indicator: As above the MFI from the public Tradingview library offers a trade signal with direction. You can set the in-going price source and the period length in the Indicator settings section.
Price: The Price as Indicator is as simple as it can be. You can chose Open, High, Low or Close or combinations of them like HLC3 or even you can import an external Indicator. The absolute price or value can later be used to generate a trade signals when certain constant thresholds or other indicators signals are crossed.
Volume: Similar as above the Volume as Indicator offers the average volume as absolute value. You can set the period length for the smoothing and you can chose where it is presented in the base currency $ or is the other. For example the trade pair BTCUSD you can chose to present the value in $ or in BTC.
Volume Oscillator: The Volume Oscillator Indicator offers a value in the range of . Whereby a value close to 0 means that the volume is very low. A value around 1 means the volume is same high as before and Values higher as 1 means the volume is bigger then before. You can set the period length for the smoothing and you can chose where it is presented in the base currency $ or is the other. For example the trade pair BTCUSD you can chose to present the value in $ or in BTC.
Pressure Indicator: The Pressure is an adapted version of LazyBear's script (Squeeze Momentum Indicator) Pressure is a Filter that highlight bars before a bigger price move in any direction. The result are integer numbers between 0 and 4 whereby 0 means no bigger price move excepted, while 4 means huge price move expected. You can set the in-going price source and the period length in the Indicator settings section.
Bilson Gann Trend: The Bilson Gann Trend Indicator is a specific re-implementation of the widely known Bilson Gann Count Algorithm to detect Highs and Lows. On base of the last four Highs and Lows a trend direction can be calculated. It is based on 2 rules to confirm a local pivot candidate. When a local pivot candidate is confirmed, let it be a High then it looks for Lows to confirm. The result range is whereby -1 means down trend, 1 means uptrend and 0 sideways.
Confluence: The Confluence Indicator is a simplified version of Dale Legan's "Confluence" indicator written by Gary Fritz. It uses five SMAs with different periods lengths. Whereby the faster SMA get compared with the (slower) SMA with the next higher period lengths. Is the faster SMA smaller then the slower SMA then -1, otherwise +1. This is done with all SMAs and the final sum range between . Whereby values around 0 means price is going side way, Crossing under 0 means trend change from bull to bear. Is the value>2 means a strong bull trend and <-2 a strong bear trend.
Trades Dynamic Index: The TDI is an adapted version from the "Traders Dynamic Index" of LazyBear. The range of the result is whereby 2 means Top goShort, -2 means Bottom goLong, 0 is neutral, 1 is up trend, -1 is down trend.
Simple Moving Average: The SMA is the one from the Tradingview library. You can compare it with the last close price or any other moving average indicator to indicate up and down trends. You can set the in-going price source and the period length in the Indicator settings section.
Exponential Moving Average: The EMA as above is the one from the Tradingview library. You can compare it with the last close price or any other moving average indicator to indicate up and down trends. You can set the in-going price source and the period length in the Indicator settings section.
Weighted Moving Average: The WMA as above is the one from the Tradingview library. You can compare it with the last close price or any other moving average indicator to indicate up and down trends. You can set the in-going price source and the period length in the Indicator settings section.
Hull Moving Average: HMA as above is the one from the Tradingview library. You can compare it with the last close price or any other moving average indicator to indicate up and down trends. You can set the in-going price source and the period length in the Indicator settings section.
Volume Weighted Average Price: The VWAP as above is the one from the Tradingview library. You can compare it with the last close price or any other moving average indicator to indicate up and down trends. You can set the in-going price source in the Indicator settings section.
Zero Lag Moving Average: The ZLMA by John Ehlers and Ric Way describe in their paper: www.mesasoftware.com
As the other moving averages you can compare it with the last close price or any other moving average indicator to indicate up and down trends. You can set the in-going price source and the period length in the Indicator settings section.
T3 Moving Average: The T3MA is the one from the Tradingview library. You can compare it with the last close price or any other moving average indicator to indicate up and down trends. You can set the in-going price source, the period length and a factor in the Indicator settings section. Keep this factor at 1 and the T3MA swing in the same range as the input. Bigger 1 and it swings over. Factors close to 0 and the T3MA becomes a center line.
All MA's following the price. The function to compare any MA Indicators would be < or > to generate a trade direction. An example follows in the next section.
4. Example and Usage
In this section, you see how to set up the strategy using a simple example. This example was intentionally chosen at random and has not undergone any iterations to refine the trade results.
We use the RSI as the trade signal indicator and apply a filter using a combination of two moving averages (MAs). The faster MA is an EMA, while the slower MA is an SMA. By comparing these two MAs, we determine a trend direction. If the faster MA is above the slower MA the trend is upwards etc. This trend direction can then be used for filtering trades.
The strategy follows these rules:
If the RSI is below 20, a buy signal is generated.
If the RSI is above 80, a sell signal is generated.
However, this RSI trade signal is filtered so that a trade is only given the maximum voting weight if the RSI trade direction aligns with the trend direction determined by the MA filter.
So first, you need to add your chosen assets or simply keep the default ones. In Image 2, you can see one of the eight asset input sections.
Image 2
This strategy offers some general trade settings that apply equally to all assets and some asset-specific settings. This distinction is necessary because some assets have higher volatility than others, requiring asset-specific Take Profit and Stop Loss levels.
Once you have made your selections, proceed to the Indicators and Compare Functions for the voting. Image 3 shows an example of this setup.
Image 3
Later on go to the Indicator specific settings shown in Image 4 to refine the trade results.
Image 4
For refine the trade results take also a look on the result summary table, development of capital plot, on the list of closed and open trades and screener table shown in Image 5.
Image 5
To locate any trade for any asset in the chronological and scroll-able trade list, each trade is marked with a label:
An opening label displaying the trade direction, ticker ID, trade number, invested amount, and remaining cash reserves.
A closing label showing the closing reason, ticker ID, trade number, trade profit (%), trade revenue ($), and updated cash reserves.
Additionally: a green line marks each Take Profit level. An orange line indicates the (trailing) Stop Loss.
The summary table in the bottom-left corner provides insights into how effective the trade strategy is. By analyzing the trade list, you can identify trades that should be avoided.
To find those bad trades on the chart, use the trade number or timestamp. With replay mode, you can go back in time to review a specific trade in detail.
Image 6
In Image 6, you can see an example where replay mode and the start time filter are used to display specific trades within a narrow time range. By identifying a large number of bad trades, you may recognize patterns and formulate conditions to avoid them in the future.
This is the backtesting tool that allows you to develop and refine your trading strategy continuously. With each iteration—from general adjustments to detailed optimizations—you can use these tools to improve your strategy. You can:
Add other indicators with trade signals and direction
Add more indicators signals as filter
Adjust the settings of your indicators to optimize results
Configure key strategy settings, such as Time and Session Filters, Stop Loss, Take Profit, and more
By doing so, you can identify a profitable strategy and its optimal settings.
5. Settings Menu
In the settings menu you will find the following high-lighted sections. Most of the settings have a i mark on their right side. Move over it with the cursor to read specific explanation.
Backtest Results: Here you can decide about visibility of the trade list, of the Screener Table and of the Results Summary. And the colors for bullish, side ways, bearish and no signal. Go above and see Image 5.
Time Filter: You can set a Start time or deactivate it by leave it unhooked. The same with End Time and Duration Days . Duration Days can also count from End time in case you deactivate Start time.
Session Filter: Here, you can chose to activate trading on a weekly basis, specifying which days of the week trading is allowed and which are excluded. Additionally, you can configure trading on a daily basis, setting the start and end times for when trades are permitted. If activated, no new trades will be initiated outside the defined times and sessions.
Trade Logic: Here you can set an extra time frame for all indicators. You can enable Longs or Shorts or both trades.
The min Criteria percentage setting defines the minimum number of voices an asset has to get to be traded. So if you set this to 50% or less also weak winners of the voting get traded while 100% means that the winner of the voting has to get all possible voices.
Additionally, you have the option to delay entry signals. This feature is particularly useful when trade signals exhibit noise and require smoothing.
Enable Trailing Stop and force the strategy to trade only at bar closing. Other-ways the strategy trade intrabar, so when ever a voting present an asset to trade, it will send the alert and the webhooks.
The Hedging is basic as shown in the following Image 7 and serves as a catch if price moves fast in the wrong direction. You can activate a hedging mechanism, which opens a trade in the opposite direction if the price moves x% against the entry price. If both the Stop Loss and Hedging are triggered within the same bar, the hedging action will always take precedence.
Image 6
Indicators to use for Trade Signal Generating: Here you chose the Indicators and their Compare Function for the Voting . Any activated asset will get their indicator valuation which get compared over all assets. The asset with the highest valuation is elected for the trade as long free cash is present and as long the minimum criteria are met.
The Screener Table will show all indicators results of the last bar of all assets. Those indicator values which met the threshold get a background color to high light it. Green for bullish, red for bearish and orange for trade signals without direction. If you chose an Indicator here but without any compare function it will show also their results but with just gray background.
Indicator Settings: here you can setup the indicator specific settings. for deeper insights see 3. Included Indicators and Compare-Functions .
Assets, TP & SL Settings: Asset specific settings. Chose here the TickerID of all Assets you wanna trade. Take Profit 1&2 set the target prices of any trade in relation to the entry price. The Take Profit 1 exit a part of the position defined by the quantity value. Stop Loss set the price to step out when a trade goes the wrong direction.
Invest Settings: Here, you can set the initial amount of cash to start with. The Quantity Percentage determines how much of the available cash is allocated to each trade, while the Fee percentage specifies the trading fee applied to both opening and closing positions.
Webhooks: Here, you configure the License ID and the Comment . This is particularly useful if you plan to use multiple instances of the script, ensuring the webhooks target the correct positions. The Take Profit and Stop Loss values are displayed as prices.
6. Declaration for Tradingview House Rules on Script Publishing
The unique feature of this Democratic Multi-Asset Strategy is its ability to trade multiple assets simultaneously. Equipped with a set of different standard Indicators, it's new democratic Voting System does more robust trading decisions compared to single-asset. Interchangeable Indicators and customizable strategy settings allowing for a wide range of trading strategies.
This script is closed-source and invite-only to support and compensate for over a year of development work. Unlike other single asset strategies, this one cannot use TradingView's strategy functions. Instead, it is designed as an indicator.
7. Disclaimer
Trading is risky, and traders do lose money, eventually all. This script is for informational and educational purposes only. All content should be considered hypothetical, selected post-factum and is not to be construed as financial advice. Decisions to buy, sell, hold, or trade in securities, commodities, and other investments involve risk and are best made based on the advice of qualified financial professionals. Past performance does not guarantee future results. Using this script on your own risk. This script may have bugs and I declare don't be responsible for any losses.
8. Conclusion
Now it’s your turn! Chose an asset class and pick 8 of them and chose some indicators to see the trading results of this democratic voting system. Refine your multi-asset strategy to favorable settings. Once you find a promising configuration, you can set up alerts to send webhooks directly. Configure all parameters, test and validate them in paper trading, and if results align with your expectations, you even can deploy this script as your trading bit.
Cheers
Equity Curve with Trend Indicator (Long & Short) - SimulationOverview:
Market Regime Detector via Virtual Equity Curve is a unique indicator that simulates the performance of a trend-following trading system—incorporating both long and short trades—to help you identify prevailing market regimes. By generating a “virtual equity” curve based on simple trend signals and applying trend analysis directly on that curve, this indicator visually differentiates trending regimes from mean-reverting (or sideways) periods. The result is an intuitive display where green areas indicate a trending (bullish) regime (i.e., where trend-following strategies are likely to perform well) and red areas indicate a mean-reverting (bearish) regime.
Features:
Simulated Trade Performance:
Uses a built-in trend-following logic (a simple 10/50 SMA crossover example) to simulate both long and short trades. This simulation creates a virtual equity curve that reflects the cumulative performance of the system over time.
Equity Trend Analysis:
Applies an Exponential Moving Average (EMA) to the simulated equity curve to filter short-term noise. The EMA acts as a trend filter, enabling the indicator to determine if the equity curve is in an upward (trending) or downward (mean-reverting) phase.
Dynamic Visual Regime Detection:
Fills the area between the equity curve and its EMA with green when the equity is above the EMA (indicating a healthy trending regime) and red when below (indicating a mean-reverting or underperforming regime).
Customizable Parameters:
Easily adjust the initial capital, the length of the equity EMA, and other settings to tailor the simulation and visual output to your trading style and market preferences.
How It Works:
Trade Simulation:
The indicator generates trading signals using a simple SMA crossover:
When the 10-period SMA is above the 50-period SMA, it simulates a long entry.
When the 10-period SMA is below the 50-period SMA, it simulates a short entry. The virtual equity is updated bar-by-bar based on these simulated positions.
Equity Trend Filtering:
An EMA is calculated on the simulated equity curve to smooth out fluctuations. The relative position of the equity curve versus its EMA is then used as a proxy for the market regime:
Bullish Regime: Equity is above its EMA → fill area in green.
Bearish Regime: Equity is below its EMA → fill area in red.
Visualization:
The indicator plots:
A gray line representing the simulated equity curve.
An orange line for the EMA of the equity curve.
A dynamic fill between the two lines, colored green or red based on the prevailing regime.
Inputs & Customization:
Initial Capital: Set your starting virtual account balance (default: 10,000 USD).
Equity EMA Length: Specify the lookback period for the EMA applied to the equity curve (default: 30).
Trend Signal Logic:
The current implementation uses a simple SMA crossover for demonstration purposes. Users can modify or replace this logic with their own trend-following indicator to tailor the simulation further.
ATR Percentages BoxThis custom indicator provides a quick visual reference for volatility-based price ranges, directly on your TradingView charts. It calculates and displays three ranges derived from the Daily Average True Range (ATR) with a standard 14-period setting:
5 Min (3% ATR): Ideal for very short-term scalping and quick intraday moves.
1 Hour (5% ATR): Useful for hourly setups, short-term trades, and intraday volatility assessment.
Day (10% ATR): Perfect for daily volatility context, swing trades, or placing stops and targets.
The ranges are clearly shown in a compact box at the top-right corner, providing traders immediate insights into realistic price movements, helping to optimise entries, stops, and profit targets efficiently.
BTC DCA RangeBTC DCA Range indicator is designed to help traders identify potential Dollar-Cost Averaging (DCA) opportunities for Bitcoin (BTC) based on deviations from a reference moving average (MA). It highlights price zones where BTC is trading significantly below a long-term moving average, suggesting potential undervaluation or buying opportunities.
The indicator dynamically adjusts the moving average length based on the selected chart timeframe, ensuring consistency across different timeframes (e.g., daily, weekly, or monthly). It also allows users to set a custom deviation threshold to identify when the price is trading at a significant discount relative to the moving average.
Adjust the Reference MA Length and Deviation Threshold inputs to suit your trading strategy
Smart Scalper Indicator🎯 How the Smart Scalper Indicator Works
1. EMA (Exponential Moving Average)
EMA 10 (Blue Line):
Shows the short-term trend.
If the price is above this line, the trend is bullish; if below, bearish.
EMA 20 (Orange Line):
Displays the longer-term trend.
If EMA 10 is above EMA 20, it indicates a bullish trend (Buy signal).
2. SuperTrend
Green Line:
Represents support levels.
If the price is above the green line, the market is considered bullish.
Red Line:
Represents resistance levels.
If the price is below the red line, the market is considered bearish.
3. VWAP (Volume Weighted Average Price)
Purple Line:
Indicates the average price considering volume.
If the price is above the VWAP, the market is strong (Buy signal).
If the price is below the VWAP, the market is weak (Sell signal).
4. ATR (Average True Range)
Used to measure market volatility.
An increasing ATR indicates higher market activity, enhancing the reliability of signals.
ATR is not visually displayed but is factored into the signal conditions.
⚡ Entry Signals
Green Up Arrow (Buy):
EMA 10 is above EMA 20.
The price is above the SuperTrend green line.
The price is above the VWAP.
Volatility (ATR) is increasing.
Red Down Arrow (Sell):
EMA 10 is below EMA 20.
The price is below the SuperTrend red line.
The price is below the VWAP.
Volatility (ATR) is increasing.
🔔 Alerts
"Buy Alert" — Notifies when a Buy condition is met.
"Sell Alert" — Notifies when a Sell condition is met.
✅ How to Use the Indicator:
Add the indicator to your TradingView chart.
Enable alerts to stay updated on signal triggers.
Check the signal:
A green arrow suggests a potential Buy.
A red arrow suggests a potential Sell.
Set Stop-Loss:
Below the SuperTrend line or based on ATR levels.
Take Profit:
Target 1-2% for short-term trades.
AutoFibGauge (TechnoBlooms) AutoFibGauge help users to understand Fibonacci retracement with auto-drawn levels from previous candes, dual moving average crossover for trend confirmation, and a thermometer for quick Fib level identification.
This indicator is designed to streamline your trading decisions. By automatically plotting the Fibonacci levels based on previous candles, it aids in identifying key support and resistance zones. User can choose the number of previous candles for which the Fibonacci is calculated.
Paired with a dual moving average crossover system for robust trend confirmation, this tools helps in aligning with the market's direction.
A dynamic thermometer display that instantly highlights critical Fib levels, making it easier than ever to spot opportunities at a glance.
Nifty/Gold RatioPrice of NIFTY in GOLD. Highs indicate that Gold is getting cheaper, Lows indicate Nifty is getting cheaper.
[COW] Day Percent LevelsThis indicator plots on your chart 2 levels, the daily percentage changes required to know by most prop firms and other exchanges. 5% is often a cutoff point for prop firm day traders and can get you banned if you trade past these levels. This indicator allows you to adjust the percentage as well as the lines and labels to your liking.
This is key when using prop firms as it is a level you must be aware of when trading. This can help you avoid being banned, your account being closed, or other disciplinary action based on trading past these levels.
Enjoy!
IU Gap Fill StrategyThe IU Gap Fill Strategy is designed to capitalize on price gaps that occur between trading sessions. It identifies gaps based on a user-defined percentage threshold and executes trades when the price fills the gap within a day. This strategy is ideal for traders looking to take advantage of market inefficiencies that arise due to overnight or session-based price movements. An ATR-based trailing stop-loss is incorporated to dynamically manage risk and lock in profits.
USER INPUTS
Percentage Difference for Valid Gap - Defines the minimum gap size in percentage terms for a valid trade setup. ( Default is 0.2 )
ATR Length - Sets the lookback period for the Average True Range (ATR) calculation. (default is 14 )
ATR Factor - Determines the multiplier for the trailing stop-loss, helping in risk management. ( Default is 2.00 )
LONG CONDITION
A gap-up occurs, meaning the current session opens above the previous session’s close.
The price initially dips below the previous session's close but then recovers and closes above it.
The gap meets the valid percentage threshold set by the user.
The bar is not the first or last bar of the session to avoid false signals.
SHORT CONDITION
A gap-down occurs, meaning the current session opens below the previous session’s close.
The price initially moves above the previous session’s close but then closes below it.
The gap meets the valid percentage threshold set by the user.
The bar is not the first or last bar of the session to avoid false signals.
LONG EXIT
An ATR-based trailing stop-loss is set below the entry price and dynamically adjusts upwards as the price moves in favor of the trade.
The position is closed when the trailing stop-loss is hit.
SHORT EXIT
An ATR-based trailing stop-loss is set above the entry price and dynamically adjusts downwards as the price moves in favor of the trade.
The position is closed when the trailing stop-loss is hit.
WHY IT IS UNIQUE
Precision in Identifying Gaps - The strategy focuses on real price gaps rather than minor fluctuations.
Dynamic Risk Management - Uses ATR-based trailing stop-loss to secure profits while allowing the trade to run.
Versatility - Works on stocks, indices, forex, and any market that experiences session-based gaps.
Optimized Entry Conditions - Ensures entries are taken only when the price attempts to fill the gap, reducing false signals.
HOW USERS CAN BENEFIT FROM IT
Enhance Trade Timing - Captures high-probability trade setups based on market inefficiencies caused by gaps.
Minimize Risk - The ATR trailing stop-loss helps protect gains and limit losses.
Works in Different Market Conditions - Whether markets are trending or consolidating, the strategy adapts to potential gap fill opportunities.
Fully Customizable - Users can fine-tune gap percentage, ATR settings, and stop-loss parameters to match their trading style.
THE Bucknut test PARI (SPY)📌 THE Bucknut Test PARI – Market Momentum & Volatility Gauge
🔹 Description
THE Bucknut Test PARI Indicator is a momentum and volatility-based market gauge designed to provide clear, actionable insights on price movement. This indicator calculates a Price Action Relative Index (PARI) score to help traders evaluate risk and potential market reversals.
It utilizes exponential moving average (EMA)-based momentum, standard deviation volatility, and SPY correlation to generate a PARI score between 1-100. The score is then categorized into risk zones, helping traders identify when conditions are favorable for entries or caution is needed.
Ideal for intraday traders, options traders (including SPX 0DTE), and swing traders looking to gauge volatility-driven market shifts.
🔥 Features & Functionality
✅ Momentum Calculation via EMA Filtering – Ensures smooth, responsive signals.
✅ Volatility-Based Adjustments – Uses standard deviation-based volatility scaling.
✅ SPY Correlation Filtering – Helps align momentum signals with market sentiment.
✅ User-Defined Timeframe Settings – Adjusts dynamically based on selected time intervals.
✅ Customizable Risk Thresholds – Allows traders to define high-risk, neutral, and low-risk zones.
✅ Non-Repainting Algorithm – Ensures reliable, static signals without revision.
⚙️ Settings & Adjustments
Setting Default Value Description
Time Frame Mode "5m-15m" Choose between 1m-3m, 5m-15m, or 1H-Daily. Affects smoothing values.
Scaling Factor 10 Adjusts PARI score sensitivity. Higher values amplify movement.
Background Color Black Custom background for the indicator panel.
Background Transparency 85 Controls indicator panel opacity (0 = solid, 100 = invisible).
High-Risk Threshold 80 Above this level, market is in overbought/high-risk conditions.
Low-Risk Threshold 20 Below this level, market is oversold/low-risk for potential reversals.
Neutral Level 50 Middle ground where price action is balanced.
📈 How to Use THE Bucknut Test PARI
🔴 Above 80 (High-Risk Zone)
Market may be overheated, strong momentum may fade or reverse soon.
Caution with calls; potential put opportunities.
🟢 Below 20 (Low-Risk Zone)
Market is oversold, potential reversal or bounce incoming.
Consider long entries or avoiding shorts.
⚪ Between 20-80 (Neutral Zone)
Market is in equilibrium; follow primary trend direction.
No extreme risk, trend-following strategies preferred.
🔍 Example Use Cases
✔ Intraday Traders → Gauge market strength on short-term charts (1m-15m).
✔ SPX 0DTE Options Traders → Time high-confidence call/put setups.
✔ Swing Traders → Identify periods of excessive momentum or exhaustion.
ORB MOTORB MOT - Opening Range Breakout Indicator (Educational purpos only)
The ORB MOT (Opening Range Breakout Multi-Option Tool) is a powerful TradingView indicator designed to help traders identify and capitalize on market breakouts based on the opening range. This tool provides extensive customization options, allowing traders to fine-tune their breakout strategies according to different timeframes and trading sessions.
Key Features:
Configurable Opening Range: Traders can define the opening range period (1, 2, 3, 5, 15, or 30 minutes) to suit their trading strategy.
Session-Based Analysis: The indicator automatically adjusts for market session times and provides an optional international override for different time zones.
Visual Representation: ORB levels are displayed with clear labels, shaded regions, and customizable colors for easy identification.
Breakout and Retest Detection: Identifies breakout points and potential retests, helping traders make informed decisions.
Multiple Price Targets: Calculates and plots key levels such as 50%, 100%, 150%, and 200% price targets for potential trade exits.
Fibonacci Extensions: Optional Fibonacci targets (21.2%, 61.8%) can be displayed for additional market confluence.
Alerts and Notifications: Provides alerts for breakout conditions, ensuring traders don’t miss critical movements.
How It Works:
The indicator calculates the high and low of the selected opening range.
Breakout points are identified when price crosses above or below the range.
The indicator plots multiple price targets based on the range's size.
Traders can visualize past ORB levels and retests for better trend analysis.
Alerts notify users of significant breakout events.
Who Can Use This Indicator?
Scalpers & Day Traders: Perfect for identifying quick breakout opportunities.
Swing Traders: Helps determine key levels for potential reversals or trend continuations.
Institutional & Retail Traders: Useful for analyzing market structure and setting price targets.
The ORB MOT indicator is a must-have tool for traders looking to refine their breakout strategy with precision and ease. Whether you're a beginner or an experienced trader, this indicator provides valuable insights into market movements and trading opportunities.
Major S&R Levels with Flips## **Major S&R Levels with Flips**
This script is designed to identify and visualize **Major Support and Resistance (S&R) Levels** across multiple timeframes (H1, H4, D1) and detect **S&R Flip** patterns (FTB, STB, FTR). It also includes customizable alerts for price-level crossings, flip patterns, and level approaches. Below is a detailed breakdown of the script's functionality, inputs, and outputs.
---
## **Script Overview**
The script calculates and plots **Support and Resistance (S&R) Levels** based on the highest highs and lowest lows over a user-defined lookback period. It also detects **S&R Flip Patterns** (First Time Back - FTB, Second Time Back - STB, Failed Test of Resistance/Support - FTR) and provides alerts for key events.
---
## **Key Features**
1. **Multi-Timeframe S&R Levels**:
- Displays S&R levels for **H1**, **H4**, and **D1** timeframes.
- Levels are calculated using the highest highs and lowest lows over a user-defined lookback period.
2. **S&R Flip Detection**:
- Detects and tracks **FTB (First Time Back)**, **STB (Second Time Back)**, and **FTR (Failed Test of Resistance/Support)** patterns.
- Alerts are generated for each flip event.
3. **Customizable Alerts**:
- **Price-Level Crossing Alerts**: Notifies when the price crosses above or below a level.
- **Flip Alerts**: Notifies when a flip pattern (FTB, STB, FTR) is detected.
- **Level Approach Alerts**: Notifies when the price approaches a level within a user-defined threshold.
4. **Efficient Level Updates**:
- Levels are updated periodically (every 10 bars by default) to optimize performance.
5. **Visualization**:
- Plots S&R levels on the chart with distinct colors for each timeframe.
- Displays labels for recent flip events.
---
## **User Inputs**
The script provides several customizable inputs:
### **Level Display**
- **Show H1 Levels**: Toggles visibility of H1 S&R levels.
- **Show H4 Levels**: Toggles visibility of H4 S&R levels.
- **Show D1 Levels**: Toggles visibility of D1 S&R levels.
- **Lookback Period**: Defines the number of bars used to calculate S&R levels (default: 20, range: 5–50).
### **Alerts**
- **Enable Price-Level Crossing Alerts**: Toggles alerts for price crossing above/below S&R levels.
- **Enable SR Flip Alerts**: Toggles alerts for S&R flip patterns (FTB, STB, FTR).
- **Enable Level Approach Alerts**: Toggles alerts for price approaching S&R levels.
- **Approach Threshold**: Defines the percentage threshold for level approach alerts (default: 0.2%, range: 0.05%–1%).
---
## **Script Logic**
### **1. Level Calculation**
- The script calculates S&R levels for each timeframe (H1, H4, D1) using the highest highs and lowest lows over the lookback period.
- Levels are updated periodically (every 10 bars by default) to optimize performance.
### **2. Flip Detection**
- The script detects **FTB**, **STB**, and **FTR** patterns:
- **FTB (First Time Back)**: Price crosses a level for the first time.
- **STB (Second Time Back)**: Price retests the level after FTB.
- **FTR (Failed Test of Resistance/Support)**: Price fails to break the level after STB.
- Flip events are tracked and stored in arrays for visualization and alerts.
### **3. Alerts**
- **Price-Level Crossing Alerts**: Triggered when the price crosses above/below a level.
- **Flip Alerts**: Triggered when a flip pattern (FTB, STB, FTR) is detected.
- **Level Approach Alerts**: Triggered when the price approaches a level within the defined threshold.
### **4. Visualization**
- S&R levels are plotted on the chart with distinct colors for each timeframe.
- Labels are displayed for recent flip events (up to 15 labels by default).
---
## **Outputs**
### **1. Plots**
- **H1 Levels**:
- Support: Green shaded area.
- Resistance: Red shaded area.
- **H4 Levels**:
- Support: Lime shaded area.
- Resistance: Maroon shaded area.
- **D1 Levels**:
- Support: Teal shaded area.
- Resistance: Purple shaded area.
### **2. Labels**
- Labels are displayed for recent flip events:
- **FTB**: Blue label.
- **STB**: Yellow label.
- **FTR**: Purple label.
### **3. Alerts**
- Alerts are generated for:
- Price-level crossings.
- Flip patterns (FTB, STB, FTR).
- Price approaching levels.
---
## **Usage Instructions**
1. **Add the Script**:
- Copy and paste the script into a new Pine Script editor in TradingView.
- Save and add the script to your chart.
2. **Customize Inputs**:
- Adjust the inputs (e.g., lookback period, alert settings) in the script settings panel.
3. **Interpret the Output**:
- Use the plotted levels and labels to identify key S&R zones and flip patterns.
- Monitor alerts for trading opportunities.
4. **Optimize for Your Strategy**:
- Adjust the lookback period and alert thresholds to suit your trading style.
---
## **Example Use Cases**
1. **Trend Identification**:
- Use the D1 levels to identify major S&R zones for long-term trend analysis.
- Combine with H4 and H1 levels for intraday trading opportunities.
2. **Flip Patterns**:
- Look for FTB and STB patterns to identify potential reversals.
- Use FTR patterns to confirm failed breakouts.
3. **Alerts for Trading**:
- Set up alerts for price-level crossings and flip patterns to stay informed of key market movements.
---
## **Notes**
- The script is optimized for performance by updating levels periodically and limiting the number of tracked flips.
- Alerts are designed to minimize noise by triggering only once per bar or bar close.
---
## **Disclaimer**
This script is for educational and informational purposes only. It should not be considered financial advice. Always conduct your own analysis and backtesting before using any trading strategy.
---
This documentation provides a comprehensive guide to using the **Major S&R Levels with Flips** script. If you have any questions or need further assistance, feel free to reach out!
Timeframe HighlighterThis indicator allows traders to highlight specific timeframes on their chart. Highlights can be applied to specific symbols or all symbols. Traders can also define multiple timeframes with different colors and toggle each highlight on or off as needed.
Notes:
The times are based on the EST time zone.
If an invalid symbol is entered the highlight will be ignored.
High and Low with Horizontal TableHigh and Low with Horizontal Table Indicator
Overview
The "High and Low with Horizontal Table" indicator is designed for traders who wish to monitor key levels based on specific candle times, along with dynamic risk-to-reward ratios and ATR-based values. This indicator features real-time calculations, visual cues, and a table for quick reference of the calculated values.
Key Features
Custom Time Inputs:
Users can define two specific time inputs to select the candles for the High and Low prices. These times can target the same or separate candles.
ATR-based Calculation:
The indicator allows users to apply an ATR Multiplier to adjust the calculation of key levels. By default, the ATR multiplier is set to 1.2, but users can adjust it to their preferred value (e.g., 1.5 or 2).
Risk-to-Reward (R:R) Calculation:
The Risk-to-Reward Ratio (R:R) is used to calculate potential Take Profit (TP) levels based on the high and low of the selected candle(s).
The default R:R ratio is 2.0, but it can be customized to suit the trader’s strategy.
Visual Markings:
The High and Low values are plotted with subtle markers on the chart (cross style) for easy identification. The display of these markers is subdued for minimal visual distraction.
Horizontal Table Display:
A horizontal table is generated in the top-right corner of the chart, providing a quick reference for the following values:
High and Low of the selected candle(s)
High + ATR Multiplier and Low - ATR Multiplier
R:R ratio
Buy TP and Sell TP levels
Each value is displayed with a reasonable number of decimal places (4 decimals) for major forex pairs, XAUUSD, and BTCUSD.
Input Parameters
Hour and Minute for High Candle: Select the time for the candle that will determine the High.
Hour and Minute for Low Candle: Select the time for the candle that will determine the Low.
ATR Multiplier: A customizable input for adjusting the ATR-based calculations (default is 1.2).
Risk-to-Reward (R:R): Set the ratio to determine the TP levels (default is 2.0).
How It Works
The user defines two distinct time inputs (one for the High and one for the Low).
At the specified times, the indicator captures the High and Low prices of the candles.
The ATR is calculated and adjusted by the user-defined ATR Multiplier to determine buffers above the High and below the Low.
The Risk-to-Reward ratio is applied to calculate the Take Profit levels.
All of these values are displayed on the chart and updated in real time. The horizontal table ensures quick reference to all the key levels without cluttering the main chart.
Use Cases
Trend Trading: Identify potential support and resistance levels based on specific timeframes and adjust TP targets using ATR.
Scalping: Use the ATR and R:R calculations to target precise entry and exit points.
Market Opens: Track key market opens (such as New York and London) with candle times that reflect your trading strategy.
Conclusion
The High and Low with Horizontal Table indicator is a powerful tool for traders looking to combine precise candle-based level tracking with ATR-based risk management. By displaying key levels and TP targets in a clear, tabular format, traders can quickly assess and act on key price levels throughout their trading sessions.
Economic Crises by @zeusbottradingEconomic Crises Indicator by @zeusbottrading
Description and Use Case
Overview
The Economic Crises Highlight Indicator is designed to visually mark major economic crises on a TradingView chart by shading these periods in red. It provides a historical context for financial analysis by indicating when major recessions occurred, helping traders and analysts assess the performance of assets before, during, and after these crises.
What This Indicator Shows
This indicator highlights the following major economic crises (from 1953 to 2020), which significantly impacted global markets:
• 1953 Korean War Recession
• 1957 Monetary Tightening Recession
• 1960 Investment Decline Recession
• 1969 Employment Crisis
• 1973 Oil Crisis
• 1980 Inflation Crisis
• 1981 Fed Monetary Policy Recession
• 1990 Oil Crisis and Gulf War Recession
• 2001 Dot-Com Bubble Crash
• 2008 Global Financial Crisis (Great Recession)
• 2020 COVID-19 Recession
Each of these periods is shaded in red with 80% transparency, allowing you to clearly see the impact of economic downturns on various financial assets.
How This Indicator is Useful
This indicator is particularly valuable for:
✅ Comparative Performance Analysis – It allows traders and investors to compare how different assets (e.g., Gold, Silver, S&P 500, Bitcoin) performed before, during, and after major economic crises.
✅ Identifying Market Trends – Helps recognize recurring patterns in asset price movements during times of financial distress.
✅ Risk Management & Strategy Development – Understanding how markets reacted in the past can assist in making better-informed investment decisions for future downturns.
✅ Gold, Silver & Bitcoin as Safe Havens – Comparing precious metals and cryptocurrencies against traditional stocks (e.g., SPY) to analyze their performance as hedges during economic turmoil.
How to Use It in Your Analysis
By overlaying this indicator on your Gold, Silver, SPY, and Bitcoin chart (for example), you can quickly spot historical market reactions and use that insight to predict possible behaviors in future downturns.
⸻
How to Apply This in TradingView?
1. Click on Use on chart under the image.
2. Overlay it with Gold ( OANDA:XAUUSD ), Silver ( OANDA:XAGUSD ), SPY ( AMEX:SPY ), and Bitcoin ( COINBASE:BTCUSD ) for comparative analysis.
⸻
Conclusion
This indicator serves as a powerful historical reference for traders analyzing asset performance during economic downturns. By studying past crises, you can develop a data-driven investment strategy and improve your market insights. 🚀📈
Let me know if you need any modifications or enhancements!
Dual SuperTrend w VIX Filter - Strategy [presentTrading]Hey everyone! Haven't been here for a long time. Been so busy again in the past 2 months. I recently started working on analyzing the combination of trend strategy and VIX, but didn't get outstanding results after a few tries. Sharing this tool with all of you in case you have better insights.
█ Introduction and How it is Different
The Dual SuperTrend with VIX Filter Strategy combines traditional trend following with market volatility analysis. Unlike conventional SuperTrend strategies that focus solely on price action, this experimental system incorporates VIX (Volatility Index) as an adaptive filter to create a more context-aware trading approach. By analyzing where current volatility stands relative to historical norms, the strategy adjusts to different market environments rather than applying uniform logic across all conditions.
BTCUSD 6hr Long Short Performance
█ Strategy, How it Works: Detailed Explanation
🔶 Dual SuperTrend Core
The strategy uses two SuperTrend indicators with different sensitivity settings:
- SuperTrend 1: Length = 13, Multiplier = 3.5
- SuperTrend 2: Length = 8, Multiplier = 5.0
The SuperTrend calculation follows this process:
1. ATR = Average of max(High-Low, |High-PreviousClose|, |Low-PreviousClose|) over 'length' periods
2. UpperBand = (High+Low)/2 - (Multiplier * ATR)
3. LowerBand = (High+Low)/2 + (Multiplier * ATR)
Trend direction is determined by:
- If Close > previous LowerBand, Trend = Bullish (1)
- If Close < previous UpperBand, Trend = Bearish (-1)
- Otherwise, Trend = previous Trend
🔶 VIX Analysis Framework
The core innovation lies in the VIX analysis system:
1. Statistical Analysis:
- VIX Mean = SMA(VIX, 252)
- VIX Standard Deviation = StdDev(VIX, 252)
- VIX Z-Score = (Current VIX - VIX Mean) / VIX StdDev
2. **Volatility Bands:
- Upper Band 1 = VIX Mean + (2 * VIX StdDev)
- Upper Band 2 = VIX Mean + (3 * VIX StdDev)
- Lower Band 1 = VIX Mean - (2 * VIX StdDev)
- Lower Band 2 = VIX Mean - (3 * VIX StdDev)
3. Volatility Regimes:
- "Very Low Volatility": VIX < Lower Band 1
- "Low Volatility": Lower Band 1 ≤ VIX < Mean
- "Normal Volatility": Mean ≤ VIX < Upper Band 1
- "High Volatility": Upper Band 1 ≤ VIX < Upper Band 2
- "Extreme Volatility": VIX ≥ Upper Band 2
4. VIX Trend Detection:
- VIX EMA = EMA(VIX, 10)
- VIX Rising = VIX > VIX EMA
- VIX Falling = VIX < VIX EMA
Local performance:
🔶 Entry Logic Integration
The strategy combines trend signals with volatility filtering:
Long Entry Condition:
- Both SuperTrend 1 AND SuperTrend 2 must be bullish (trend = 1)
- AND selected VIX filter condition must be satisfied
Short Entry Condition:
- Both SuperTrend 1 AND SuperTrend 2 must be bearish (trend = -1)
- AND selected VIX filter condition must be satisfied
Available VIX filter rules include:
- "Below Mean + SD": VIX < Lower Band 1
- "Below Mean": VIX < VIX Mean
- "Above Mean": VIX > VIX Mean
- "Above Mean + SD": VIX > Upper Band 1
- "Falling VIX": VIX < VIX EMA
- "Rising VIX": VIX > VIX EMA
- "Any": No VIX filtering
█ Trade Direction
The strategy allows testing in three modes:
1. **Long Only:** Test volatility effects on uptrends only
2. **Short Only:** Examine volatility's impact on downtrends only
3. **Both (Default):** Compare how volatility affects both trend directions
This enables comparative analysis of how volatility regimes impact bullish versus bearish markets differently.
█ Usage
Use this strategy as an experimental framework:
1. Form a hypothesis about how volatility affects trend reliability
2. Configure VIX filters to test your specific hypothesis
3. Analyze performance across different volatility regimes
4. Compare results between uptrends and downtrends
5. Refine your volatility filtering approach based on results
6. Share your findings with the trading community
This framework allows you to investigate questions like:
- Are uptrends more reliable during rising or falling volatility?
- Do downtrends perform better when volatility is above or below its historical average?
- Should different volatility filters be applied to long vs. short positions?
█ Default Settings
The default settings serve as a starting point for exploration:
SuperTrend Parameters:
- SuperTrend 1 (Length=13, Multiplier=3.5): More responsive to trend changes
- SuperTrend 2 (Length=8, Multiplier=5.0): More selective filter requiring stronger trends
VIX Analysis Settings:
- Lookback Period = 252: Establishes a full market cycle for volatility context
- Standard Deviation Bands = 2 and 3 SD: Creates statistically significant regime boundaries
- VIX Trend Period = 10: Balances responsiveness with noise reduction
Default VIX Filter Selection:
- Long Entry: "Above Mean" - Tests if uptrends perform better during above-average volatility
- Short Entry: "Rising VIX" - Tests if downtrends accelerate when volatility is increasing
Feel Free to share your insight below!!!
Vortex Sniper Elite @DaviddTechVortex Sniper Elite @DaviddTech
Vortex Sniper Elite @DaviddTech is a comprehensive trading system designed to deliver high-probability trade setups across all market conditions. By seamlessly integrating adaptive baseline detection, squeeze momentum analysis, and advanced vortex filtering, this indicator provides traders with a complete edge-based approach to market analysis.
🔥 Key Features:
Complete Model Integration:
Baseline: Advanced McGinley Dynamic indicator for superior trend detection
Confirmation #1: Enhanced TTM Squeeze for momentum and volatility analysis
Confirmation #2: Dual Tether Line system for dynamic market structure mapping
Volatility Filter: Specialized Vortex indicator for precision entry timing
Adaptive Stop Loss: Proprietary trailing stop system based on ATR calculations
Advanced Visual Dashboard:
Real-time component analysis with strength metrics
Color-coded signal status for immediate trade assessment
Squeeze state monitoring with visual confirmation
Vortex divergence strength percentage for optimal entries
Premium Signal Detection:
Multi-timeframe compatible system for scaling strategies
Automated buy/sell signals at optimal entry points
Clear exit signals for risk management
Squeeze momentum visualization for timing precision
DaviddTech Alpha Edge System:
Gradient transparency algorithm for visual trend strength confirmation
Bar coloring system based on momentum direction
Background highlighting for active signal states
Dashboard for ease of understanding
💰 Trading Applications:
Sniper Entries: Utilize the Vortex confirmation to pinpoint precise entry points
Trend Alignment: McGinley baseline establishes the primary market direction
Volatility Awareness: TTM Squeeze identifies optimal market conditions
Risk Management: Set stops based on the adaptive trailing stop system
Position Management: Monitor dashboard metrics for changing market conditions
Vortex Sniper Elite @DaviddTech represents the culmination of the DaviddTech methodology in one cohesive system. Whether you're a day trader seeking precise entries or a swing trader looking for significant market moves, this indicator delivers the structured approach needed to consistently extract profits from any market condition.
DaviddTech Trading System Explained:
The DaviddTech methodology follows a strict component-based approach:
The Baseline establishes the primary trend direction, acting as your first filter
Confirmation Indicators validate potential trade setups only when aligned with the baseline
The Volatility/Volume Indicator ensures you only enter trades with sufficient directional momentum
A Trailing Stop System provides mathematically optimized exit points
Vortex Sniper Elite integrates all these components into a visually intuitive system that eliminates guesswork and enforces disciplined trading decisions.
Recommended Settings:
This indicator comes pre-configured with optimized parameters, but feel free to adjust based on your timeframe:
For day trading: Reduce Baseline and TTM lengths by 30-40%
For swing trading: Consider increasing Tether and Trail Stop lengths by 25-50%
For scalping: Focus on Vortex confirmation with shorter timeframes
Best Practices:
Wait for all components to align before entering trades
Use the dashboard to evaluate the strength of each signal
Monitor squeeze states for potential volatility expansion
Let the trailing stop system handle your exits
Backtest across multiple timeframes to find your optimal settings
