Bitcoin Macro Trend Map [Ox_kali]
## Introduction
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The “Bitcoin Macro Trend Map” script is designed to provide a comprehensive analysis of Bitcoin’s macroeconomic trends. By leveraging a unique combination of Bitcoin-specific macroeconomic indicators, this script helps traders identify potential market peaks and troughs with greater accuracy. It synthesizes data from multiple sources to offer a probabilistic view of market excesses, whether overbought or oversold conditions.
This script offers significant value for the following reasons:
1. Holistic Market Analysis : It integrates a diverse set of indicators that cover various aspects of the Bitcoin market, from investor sentiment and market liquidity to mining profitability and network health. This multi-faceted approach provides a more complete picture of the market than relying on a single indicator.
2. Customization and Flexibility : Users can customize the script to suit their specific trading strategies and preferences. The script offers configurable parameters for each indicator, allowing traders to adjust settings based on their analysis needs.
3. Visual Clarity : The script plots all indicators on a single chart with clear visual cues. This includes color-coded indicators and background changes based on market conditions, making it easy for traders to quickly interpret complex data.
4. Proven Indicators : The script utilizes well-established indicators like the EMA, NUPL, PUELL Multiple, and Hash Ribbons, which are widely recognized in the trading community for their effectiveness in predicting market movements.
5. A New Comprehensive Indicator : By integrating background color changes based on the aggregate signals of various indicators, this script essentially creates a new, comprehensive indicator tailored specifically for Bitcoin. This visual representation provides an immediate overview of market conditions, enhancing the ability to spot potential market reversals.
Optimal for use on timeframes ranging from 1 day to 1 week , the “Bitcoin Macro Trend Map” provides traders with actionable insights, enhancing their ability to make informed decisions in the highly volatile Bitcoin market. By combining these indicators, the script delivers a robust tool for identifying market extremes and potential reversal points.
## Key Indicators
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Macroeconomic Data: The script combines several relevant macroeconomic indicators for Bitcoin, such as the 10-month EMA, M2 money supply, CVDD, Pi Cycle, NUPL, PUELL, MRVR Z-Scores, and Hash Ribbons (Full description bellow).
Open Source Sources: Most of the scripts used are sourced from open-source projects that I have modified to meet the specific needs of this script.
Recommended Timeframes: For optimal performance, it is recommended to use this script on timeframes ranging from 1 day to 1 week.
Objective: The primary goal is to provide a probabilistic solution to identify market excesses, whether overbought or oversold points.
## Originality and Purpose
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This script stands out by integrating multiple macroeconomic indicators into a single comprehensive tool. Each indicator is carefully selected and customized to provide insights into different aspects of the Bitcoin market. By combining these indicators, the script offers a holistic view of market conditions, helping traders identify potential tops and bottoms with greater accuracy. This is the first version of the script, and additional macroeconomic indicators will be added in the future based on user feedback and other inputs.
## How It Works
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The script works by plotting each macroeconomic indicator on a single chart, allowing users to visualize and interpret the data easily. Here’s a detailed look at how each indicator contributes to the analysis:
EMA 10 Monthly: Uses an exponential moving average over 10 monthly periods to signal bullish and bearish trends. This indicator helps identify long-term trends in the Bitcoin market by smoothing out price fluctuations to reveal the underlying trend direction.Moving Averages w/ 18 day/week/month.
Credit to @ryanman0
M2 Money Supply: Analyzes the evolution of global money supply, indicating market liquidity conditions. This indicator tracks the changes in the total amount of money available in the economy, which can impact Bitcoin’s value as a hedge against inflation or economic instability.
Credit to @dylanleclair
CVDD (Cumulative Value Days Destroyed): An indicator based on the cumulative value of days destroyed, useful for identifying market turning points. This metric helps assess the Bitcoin market’s health by evaluating the age and value of coins that are moved, indicating potential shifts in market sentiment.
Credit to @Da_Prof
Pi Cycle: Uses simple and exponential moving averages to detect potential sell points. This indicator aims to identify cyclical peaks in Bitcoin’s price, providing signals for potential market tops.
Credit to @NoCreditsLeft
NUPL (Net Unrealized Profit/Loss): Measures investors’ unrealized profit or loss to signal extreme market levels. This indicator shows the net profit or loss of Bitcoin holders as a percentage of the market cap, helping to identify periods of significant market optimism or pessimism.
Credit to @Da_Prof
PUELL Multiple: Assesses mining profitability relative to historical averages to indicate buying or selling opportunities. This indicator compares the daily issuance value of Bitcoin to its yearly average, providing insights into when the market is overbought or oversold based on miner behavior.
Credit to @Da_Prof
MRVR Z-Scores: Compares market value to realized value to identify overbought or oversold conditions. This metric helps gauge the overall market sentiment by comparing Bitcoin’s market value to its realized value, identifying potential reversal points.
Credit to @Pinnacle_Investor
Hash Ribbons: Uses hash rate variations to signal buying opportunities based on miner capitulation and recovery. This indicator tracks the health of the Bitcoin network by analyzing hash rate trends, helping to identify periods of miner capitulation and subsequent recoveries as potential buying opportunities.
Credit to @ROBO_Trading
## Indicator Visualization and Interpretation
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For each horizontal line representing an indicator, a legend is displayed on the right side of the chart. If the conditions are positive for an indicator, it will turn green, indicating the end of a bearish trend. Conversely, if the conditions are negative, the indicator will turn red, signaling the end of a bullish trend.
The background color of the chart changes based on the average of green or red indicators. This parameter is configurable, allowing adjustment of the threshold at which the background color changes, providing a clear visual indication of overall market conditions.
## Script Parameters
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The script includes several configurable parameters to customize the display and behavior of the indicators:
Color Style:
Normal: Default colors.
Modern: Modern color style.
Monochrome: Monochrome style.
User: User-customized colors.
Custom color settings for up trends (Up Trend Color), down trends (Down Trend Color), and NaN (NaN Color)
Background Color Thresholds:
Thresholds: Settings to define the thresholds for background color change.
Low/High Red Threshold: Low and high thresholds for bearish trends.
Low/High Green Threshold: Low and high thresholds for bullish trends.
Indicator Display:
Options to show or hide specific indicators such as EMA 10 Monthly, CVDD, Pi Cycle, M2 Money, NUPL, PUELL, MRVR Z-Scores, and Hash Ribbons.
Specific Indicator Settings:
EMA 10 Monthly: Options to customize the period for the exponential moving average calculation.
M2 Money: Aggregation of global money supply data.
CVDD: Adjustments for value normalization.
Pi Cycle: Settings for simple and exponential moving averages.
NUPL: Thresholds for unrealized profit/loss values.
PUELL: Adjustments for mining profitability multiples.
MRVR Z-Scores: Settings for overbought/oversold values.
Hash Ribbons: Options for hash rate moving averages and capitulation/recovery signals.
## Conclusion
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The “Bitcoin Macro Trend Map” by Ox_kali is a tool designed to analyze the Bitcoin market. By combining several macroeconomic indicators, this script helps identify market peaks and troughs. It is recommended to use it on timeframes from 1 day to 1 week for optimal trend analysis. The scripts used are sourced from open-source projects, modified to suit the specific needs of this analysis.
## Notes
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This is the first version of the script and it is still in development. More indicators will likely be added in the future. Feedback and comments are welcome to improve this tool.
## Disclaimer:
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Please note that the Open Interest liquidation map is not a guarantee of future market performance and should be used in conjunction with proper risk management. Always ensure that you have a thorough understanding of the indicator’s methodology and its limitations before making any investment decisions. Additionally, past performance is not indicative of future results.
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Performance IndicatorsDescription:
The Performance Indicators tool provides traders with a comprehensive overview of both fundamental and technical performance metrics of a security. This dual approach helps traders make informed decisions by evaluating the security's intrinsic value as well as its market behavior.
Fundamental Performance Indicators:
EPS Year Over Year % Growth : Measures the percentage growth in earnings per share (EPS) compared to the same quarter in the previous year. This helps in understanding the company's profitability trends.
EPS 3 Quarters Year Over Year % Growth : Analyzes the percentage growth in EPS over the last three quarters compared to the same quarters in the previous year, providing insight into the company's recent earnings performance.
Sales Year Over Year % Growth : Tracks the percentage growth in sales compared to the same quarter in the previous year, offering a view of the company's revenue trends.
Sales 3 Quarters Year Over Year % Growth : Evaluates the percentage growth in sales over the last three quarters compared to the same quarters in the previous year, helping to assess the company's recent revenue performance.
Return On Equity (ROE) : Measures the company's profitability by comparing net income to shareholder equity. This indicates how effectively the company is using its equity base to generate profits.
Market Capitalization : Represents the total market value of the company's outstanding shares, providing a sense of the company's size and market presence.
Float Shares Outstanding : Refers to the number of shares available for trading by the public, excluding restricted shares. This metric helps in understanding the liquidity and volatility of the stock.
Technical Performance Indicators:
Average Daily Range (ADR) %: Calculates the average range between the high and low prices over a specific period, expressed as a percentage. This helps in understanding the stock's daily volatility.
Average True Range (ATR) $ : Measures market volatility by calculating the average range between the high and low prices, taking into account any gaps in the price. It is expressed in dollar terms.
% Off 52-Week High : Indicates how far the current price is from the highest price achieved over the last 52 weeks, helping to assess the stock's current performance relative to its yearly peak.
Relative Price Strength (RPS) : Compares the stock's price performance to a benchmark index, helping to identify how the stock is performing relative to the broader market.
How it Works:
The fundamental performance indicators provide insights into the company's financial health and growth trends by analyzing key metrics such as EPS, sales growth, ROE, market capitalization, and float shares outstanding.
The technical performance indicators offer a view of the stock's market behavior and volatility through metrics like ADR, ATR, % off 52-week high, and RPS.
By combining these fundamental and technical metrics, traders can gain a well-rounded perspective on the security's overall performance.
How to Use:
Add the Performance Indicators tool to your chart.
Evaluate the fundamental indicators to assess the company's financial health and growth trends.
Analyze the technical indicators to understand the stock's market behavior and volatility.
Use the combined insights from both fundamental and technical indicators to make informed trading decisions.
This tool is particularly useful for traders who want to integrate both fundamental analysis and technical analysis into their trading strategy, providing a holistic view of a security's performance.
Smart Money Concept Strategy - Uncle SamThis strategy combines concepts from two popular TradingView scripts:
Smart Money Concepts (SMC) : The strategy identifies key levels in the market (swing highs and lows) and draws trend lines to visualize potential breakouts. It uses volume analysis to gauge the strength of these breakouts.
Smart Money Breakouts : This part of the strategy incorporates the idea of "Smart Money" – institutional traders who often lead market movements. It looks for breakouts of established levels with significant volume, aiming to catch the beginning of new trends.
How the Strategy Works:
Identification of Key Levels: The script identifies swing highs and swing lows based on a user-defined lookback period. These levels are considered significant points where price has reversed in the past.
Drawing Trend Lines: Trend lines are drawn connecting these key levels, creating a visual representation of potential support and resistance zones.
Volume Analysis: The script analyzes the volume during the formation of these levels and during breakouts. Higher volume suggests stronger moves and increases the probability of a successful breakout.
Entry Conditions:
Long Entry: A long entry is triggered when the price breaks above a resistance line with significant volume, and the moving average trend filter (optional) is bullish.
Short Entry: A short entry is triggered when the price breaks below a support line with significant volume, and the moving average trend filter (optional) is bearish.
Exit Conditions:
Stop Loss: Customizable stop loss percentages are implemented to protect against adverse price movements.
Take Profit: Customizable take profit percentages are used to lock in profits.
Credits and Compliance:
This strategy is inspired by the concepts and code from "Smart Money Concepts (SMC) " and "Smart Money Breakouts ." I've adapted and combined elements of both scripts to create this strategy. Full credit is given to the original authors for their valuable contributions to the TradingView community.
To comply with TradingView's House Rules, I've made the following adjustments:
Clearly Stated Inspiration: The description explicitly mentions the original scripts and authors as the inspiration for this strategy.
No Direct Copying: The code has been modified and combined, not directly copied from the original scripts.
Educational Purpose: The primary purpose of this strategy is for learning and backtesting. It's not intended as financial advice.
Important Note:
This strategy is intended for educational and backtesting purposes only. It should not be used for live trading without thorough testing and understanding of the underlying concepts. Past performance is not indicative of future results.
Advanced Gold Scalping Strategy with RSI Divergence# Advanced Gold Scalping Strategy with RSI Divergence
## Overview
This Pine Script implements an advanced scalping strategy for gold (XAUUSD) trading, primarily designed for the 1-minute timeframe. The strategy utilizes the Relative Strength Index (RSI) indicator along with its moving average to identify potential trade setups based on divergences between price action and RSI movements.
## Key Components
### 1. RSI Calculation
- Uses a customizable RSI length (default: 60)
- Allows selection of the source for RSI calculation (default: close price)
### 2. Moving Average of RSI
- Supports multiple MA types: SMA, EMA, SMMA (RMA), WMA, VWMA, and Bollinger Bands
- Customizable MA length (default: 3)
- Option to display Bollinger Bands with adjustable standard deviation multiplier
### 3. Divergence Detection
- Implements both bullish and bearish divergence identification
- Uses pivot high and pivot low points to detect divergences
- Allows for customization of lookback periods and range for divergence detection
### 4. Entry Conditions
- Long Entry: Bullish divergence when RSI is below 40
- Short Entry: Bearish divergence when RSI is above 60
### 5. Trade Management
- Stop Loss: Customizable, default set to 11 pips
- Take Profit: Customizable, default set to 33 pips
### 6. Visualization
- Plots RSI line and its moving average
- Displays horizontal lines at 30, 50, and 70 RSI levels
- Shows Bollinger Bands when selected
- Highlights divergences with "Bull" and "Bear" labels on the chart
## Input Parameters
- RSI Length: Adjusts the period for RSI calculation
- RSI Source: Selects the price source for RSI (close, open, high, low, hl2, hlc3, ohlc4)
- MA Type: Chooses the type of moving average applied to RSI
- MA Length: Sets the period for the moving average
- BB StdDev: Adjusts the standard deviation multiplier for Bollinger Bands
- Show Divergence: Toggles the display of divergence labels
- Stop Loss: Sets the stop loss distance in pips
- Take Profit: Sets the take profit distance in pips
## Strategy Logic
1. **RSI Calculation**:
- Computes RSI using the specified length and source
- Calculates the chosen type of moving average on the RSI
2. **Divergence Detection**:
- Identifies pivot points in both price and RSI
- Checks for higher lows in RSI with lower lows in price (bullish divergence)
- Checks for lower highs in RSI with higher highs in price (bearish divergence)
3. **Trade Entry**:
- Enters a long position when a bullish divergence is detected and RSI is below 40
- Enters a short position when a bearish divergence is detected and RSI is above 60
4. **Position Management**:
- Places a stop loss order at the entry price ± stop loss pips (depending on the direction)
- Sets a take profit order at the entry price ± take profit pips (depending on the direction)
5. **Visualization**:
- Plots the RSI and its moving average
- Draws horizontal lines for overbought/oversold levels
- Displays Bollinger Bands if selected
- Shows divergence labels on the chart for identified setups
## Usage Instructions
1. Apply the script to a 1-minute XAUUSD (Gold) chart in TradingView
2. Adjust the input parameters as needed:
- Increase RSI Length for less frequent but potentially more reliable signals
- Modify MA Type and Length to change the sensitivity of the RSI moving average
- Adjust Stop Loss and Take Profit levels based on current market volatility
3. Monitor the chart for Bull (long) and Bear (short) labels indicating potential trade setups
4. Use in conjunction with other analysis and risk management techniques
## Considerations
- This strategy is designed for short-term scalping and may not be suitable for all market conditions
- Always backtest and forward test the strategy before using it with real capital
- The effectiveness of divergence-based strategies can vary depending on market trends and volatility
- Consider using additional confirmation signals or filters to improve the strategy's performance
Remember to adapt the strategy parameters to your risk tolerance and trading style, and always practice proper risk management.
Support and Resistance Breakouts By RICHIESupport and resistance are fundamental concepts in technical analysis used to identify price levels on charts that act as barriers, preventing the price of an asset from getting pushed in a certain direction. Here’s a detailed description of each and how breakout strategies are typically used:
Support
Support is a price level where a downtrend can be expected to pause due to a concentration of demand. As the price of an asset drops, it hits a level where buyers tend to step in, causing the price to rebound.
Support Level Identification: Support levels are identified by looking at historical data where prices have repeatedly fallen to a certain level but have then rebounded.
Strength of Support: The more times an asset price hits a support level without breaking below it, the stronger that support level is considered to be.
Resistance
Resistance is a price level where an uptrend can be expected to pause due to a concentration of selling interest. As the price of an asset increases, it hits a level where sellers tend to step in, causing the price to drop.
Resistance Level Identification: Resistance levels are identified by looking at historical data where prices have repeatedly risen to a certain level but have then fallen back.
Strength of Resistance: The more times an asset price hits a resistance level without breaking above it, the stronger that resistance level is considered to be.
Breakouts
A breakout occurs when the price moves above a resistance level or below a support level with increased volume. Breakouts can be significant because they suggest a change in supply and demand dynamics, often leading to strong price movements.
Breakout Above Resistance: Indicates a bullish market sentiment. Traders often interpret this as a sign to enter a long position (buy).
Breakout Below Support: Indicates a bearish market sentiment. Traders often interpret this as a sign to enter a short position (sell).
Breakout Trading Strategies
Confirmation: Wait for a candle to close beyond the support or resistance level to confirm the breakout.
Volume: Increased volume on a breakout adds credibility, suggesting that the price move is supported by strong buying or selling interest.
Retest: Sometimes, after a breakout, the price will return to the breakout level to test it as a new support or resistance. This retest offers another entry point.
Stop-Loss: Place stop-loss orders just below the resistance (for long positions) or above the support (for short positions) to limit potential losses in case of a false breakout.
Take-Profit: Identify target levels for taking profits. These can be set based on previous support/resistance levels or using tools like Fibonacci retracements.
Turbo Oscillator [RunRox]Introducing Turbo Oscillator by RunRox, our new indicator that combines a multitude of useful and unique features, which we will detail in this post.
List of Advanced Technologies:
Real-Time Divergences: Detects discrepancies between price movements and oscillator indicators to forecast potential price reversals.
Real-Time Hidden Divergences: We identify hidden divergences in real-time. These are not the standard type of divergences; they are opposite to regular divergences, providing unique insights into potential market movements.
Overbought and Oversold Zones: Identifies areas where the market is potentially overextended, suggesting possible entry and exit points.
Signal Line: Indicates the market direction, helping traders to quickly understand current trends.
Money Flow Histogram: Shows the flow of money into and out of the market, providing insights into buying and selling pressure.
Predicted Reversal Zones: Pinpoints areas where the market might experience reversals, aiding in strategic planning and risk management. These zones also serve as potential areas for taking profits, enhancing their utility for exit strategy planning.
Customizable Alerts: You can flexibly set up alerts for any events detected by our indicator, ensuring you stay informed about critical market movements.
To begin with, I would like to describe the difference between classic divergences and hidden divergences.
As you can see, these are opposite situations. Our oscillator identifies both types of divergences and displays them in real-time.
Divergences can serve as points where the price might reverse in the opposite direction, making both classic and hidden divergences powerful tools for spotting reversal points. I'll show a few examples of how divergences are used in our oscillator.
Classic Divergences - which we identify in real-time. As you can see, the price often reacts strongly to the formation of these divergences, frequently changing its direction.
Hidden Divergences - we also observe frequent movement in the opposite direction on the chart. The advantage of our indicator is that we show divergences in real-time without delays, allowing you to react immediately to trend changes.
Overbought and Oversold Zones - These zones allow you to see trend changes when the price is clearly overbought or oversold. When the color changes from a contrasting shade to a neutral one, you can observe the trend shift. The lines work by combining the positivity/negativity of the histogram, the positivity/negativity of the signal line, and the direction of the signal line (red/green). This sophisticated interaction provides precise insights into market conditions, making it an invaluable tool for traders.
Signal Line - This provides insights into trend changes and price reversals. The points on the line better indicate the beginning of a trend shift. These points can vary in size, offering a clearer understanding of the strength of the emerging trend. This feature works in combination with RSI, Stochastic, and MFI. RSI and MFI are top-tier indicators, while Stochastic adds responsiveness and sensitivity to trend changes, ensuring you capture every market movement accurately and promptly.
Money Flow Histogram - As shown in the example, our histogram displays the divergence between money flow and the actual price. You can see that while the price is rising, the money flow is decreasing, indicating insufficient demand for the asset and an imminent trend change. This feature uses MFI with an extended period, providing a more comprehensive and accurate analysis of market conditions. The extended period enhances the reliability of the Money Flow Index, making it an essential tool for identifying subtle shifts in market dynamics.
Predicted Reversal Zones - We automatically identify potential price reversal zones and display them above our overbought and oversold zones. In cases of strong overbought or oversold conditions, we detect potential price pullbacks and mark the beginning of a trend change. This helps you better identify trend shifts. We recommend considering these zones as potential take profit points for your trades.
Customizable Alerts - Our flexible alert system allows you to receive notifications only for the events you are interested in. These can include:
1. Classic Divergences
2. Hidden Divergences
3. Overbought or Oversold conditions on the status line
4. Strong Overbought or Oversold conditions on the status line
5. Signals from the signal line
6. Reversal zones in any direction
Our oscillator is a unique indicator that provides a comprehensive understanding of price movements. It can be used as a standalone tool for analyzing price action.
Here are a few examples of using our Oscillator in practice:
In the example above, you can see three conditions that have formed for a potential trade:
1. Clear overbought condition with a formed reversal point.
2. Decreasing Money Flow Index diverging from the rising price.
3. Formed classic divergence.
The entry point could be the formed divergence, while the exit point could be the overbought condition at the bottom of the oscillator along with the reversal points.
Here's another example of using hidden divergence, where you can see three conditions for a potential trade:
1. Overbought zone
2. Formed hidden divergence
3. Start of bearish movement indicated by the signal line
You can enter the trade either when the hidden divergence forms or wait for confirmation of the trend change by the signal line and enter the trade when the corresponding signal forms on the signal line. The exit point could be the opposite reversal point or the formation of a new hidden divergence.
We have demonstrated a few examples of how you can use our indicator, but we are confident that you will find many more applications in your own strategies.
Oscillator offers a variety of customizable parameters to tailor the indicator to your trading preferences. Here’s what our settings include:
Signal Line
Turn On/Off: Enable or disable the signal line.
Length: Set the length period for the signal line calculation.
Smooth: Adjust the smoothing level of the signal line for more accurate display.
Histogram
Turn On/Off: Enable or disable the histogram.
Length: Set the length period for the histogram calculation.
Smooth: Adjust the smoothing level of the histogram.
Other
Show Divergence Line: Display divergence lines on the chart.
Show Hidden Divergence: Display hidden divergences.
Show Status Line: Show the status line indicating overbought or oversold conditions.
Show TP Signal: Display signals for take profit.
Show Reversal Points: Display potential trend reversal points.
Delete Broken Divergence Lines: Remove broken divergence lines from the chart.
Alerts Customization
Signal Line Bull/Bear: Set alerts for bullish or bearish signals from the signal line.
TP Bull/Bear: Set alerts for take profit signals.
Status Bull/Bear: Set alerts for bullish or bearish status conditions.
Status Bull+/Bear+: Set enhanced alerts for stronger bullish or bearish status conditions.
Divergence Bull/Bear: Set alerts for bullish or bearish divergences.
Hidden Divergence Bull/Bear: Set alerts for hidden bullish or bearish divergences.
With these comprehensive settings, you can fine-tune the Oscillator to perfectly fit your trading strategy and preferences.
Our indicator utilizes technologies such as RSI, Stochastic, and Money Flow Index, with numerous enhancements from our team. It includes exclusive features such as real-time detection of hidden and classic divergences, identification of reversal points using our unique methodology, and much more.
Disclaimer:
While we consider our Turbo Oscillator to be an excellent tool, it is important to understand that past performance is not indicative of future results. We recommend approaching market analysis comprehensively, using a combination of tools and techniques to make well-informed trading decisions. Always consider the full range of market data and risks when using any trading indicator.
LumleyTrading GapsName: LumleyTrading Gaps
Description:
The Gap Tracker Indicator is a powerful tool designed for traders to identify, monitor, and capitalize on price gaps in financial markets. It serves two primary functions:
Identifying Gaps: The indicator scans price action to detect instances where the current trading session's opening price significantly differs from the previous session's closing price. These disparities indicate the presence of price gaps.
Tracking Gap Fills: Once a gap is identified, the indicator continues to monitor the price movement. It dynamically adjusts its parameters to track whether and when the price retraces back to fill the gap. As soon as the gap is filled, the indicator generates a signal to notify traders of this occurrence.
Key Features:
Customizable Parameters: Traders can adjust the sensitivity and criteria for what constitutes a significant gap based on their trading preferences and the market conditions.
Visual Alerts: The indicator provides clear visual signals on price charts, highlighting the presence of gaps and indicating when they are filled. This helps traders to easily spot trading opportunities and make informed decisions.
Alert Notifications: In addition to visual cues, traders can opt to receive real-time alerts via email, SMS, or within their trading platform, ensuring they never miss an opportunity or a filled gap.
Historical Analysis: The indicator may also offer historical gap data, allowing traders to conduct backtesting and analyze the performance of trading strategies based on gap patterns.
Benefits:
Gap Trading Opportunities: Traders can use the indicator to identify potential areas of price continuation or reversal, leveraging the phenomenon of gap trading for profit.
Risk Management: By tracking gap fills, traders can manage their risk more effectively, knowing when a gap is likely to act as support or resistance and adjusting their positions accordingly.
Enhanced Decision Making: With real-time gap detection and fill tracking, traders gain valuable insights into market sentiment and price dynamics, empowering them to make timely and informed trading decisions.
Compatibility:
The Gap Tracker Indicator is compatible with popular trading platforms and can be seamlessly integrated into various technical analysis tools and strategies.
Conclusion:
In the fast-paced world of financial markets, identifying and understanding price gaps is crucial for successful trading. The Gap Tracker Indicator provides traders with a reliable tool to spot, track, and capitalize on gap opportunities, enhancing their trading efficiency and profitability.
Futures Auto Levels [NariCapitalTrading]Futures Auto Levels Indicator
Introduction
The "Futures Auto Levels" (FAL) indicator shows the previous day's levels, weekly open, high, low, and the Initial Balance Range (IBR).
Indicator Components
The FAL indicator comprises the following components:
Previous Day's Levels: These include the open, high, low, and close of the previous trading day. They are represented on the chart by lines and labels, helping to identify significant price levels from the prior session.
Weekly Open, High, Low: These levels represent the open, high, and low prices of the current trading week.
Initial Balance Range (IBR): The IBR is calculated based on the price range during the first 60 minutes of the trading day. It helps identify initial trading range and potential breakout levels.
How to Use the Indicator
1. Previous Day's Levels:
Monitor the previous day's open, high, low, and close to identify key support and resistance levels.
Use these levels to gauge market sentiment and potential price reversals.
2. Weekly Open, High, Low:
Pay attention to the weekly open, high, and low to understand the market's behavior within the weekly timeframe.
These levels can act as reference points for setting profit targets and stop-loss orders.
3. Initial Balance Range (IBR):
Watch for price movements within the IBR to identify potential trading opportunities.
Breakouts above or below the IBR may signal the beginning of a new trend or continuation of the current trend.
Suggested/Potential Strategies
Reversal Trading: Look for price reversals around previous day's levels, especially when they coincide with other technical indicators or significant support/resistance zones.
Trend Following: Follow the trend by trading breakouts above/below the IBR or weekly high/low levels. Use trailing stops to capture profits while the trend remains intact.
Range Trading: Trade within the IBR when the market is consolidating. Buy near the IBR low and sell near the IBR high, with tight stop-loss orders to manage risk.
Conclusion
The Futures Auto Levels indicator is designed to help incorporate levels into trading analysis and trading strategies to improve profitability and consistency.
BlackPika Supertrend Public v2Hello Reader!
What is Supertrend indicator ?
The Supertrend Indicator is a popular technical analysis tool designed to assist traders in identifying market trends.
The indicator combines the average true range (ATR) with a multiplier to calculate its value. This value is then added to or subtracted from the asset’s closing price to plot the supertrend line.
The Supertrend Indicator can help identify trends, manage risk, and confirm market tendencies.
The indicator is limited by its lagging nature, is not very flexible, and can send up false signals.
The Supertrend Indicator has become a staple for traders in stocks, currencies, and commodities for its ability to identify and follow market trends.
About this script:
This script is based on the SuperTrend. There are some extra things added to make it able to use more efficiently. They are listed below:
1. Pullback signals: These signals indicate a pull back after a trend reversal and are the most optimum places where you can add to your existing position. They also come with Alerts !
2. Trailing Stop Loss and Take Profit: These further help to reduce the draw-down and can help you to trail profits with more granularity thus securing gains. This are using RSI levels. RSI levels above 70 will indicate a partial take profit when long and RSI levels below 25 will indicate a take profit level when short.
How to use ?
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Personally I use it on major pairs on cryptocurrencies like BTCUSD . Usually after the trend flips, there will be pullbacks, You can enter a part of the position when trend reversal is confirmed. (LONG signal)
Then add more when you get a pullback (PB_LONG signal).
To make life simpler, alerts are added for pullback signals as well. These can help acheive good entry price. Entering at pullback signals limits your losses to a great extent, as the trend will flip on the bar close if it goes against you.
You can trade manually or you can automate. All the signals have been provided with Alerts. some signals have been grouped, to reduce the number of the alerts if you wish to.
I wish you all the luck and please comment and Like if you have any doubts.
Trailing Management (Zeiierman)█ Overview
The Trailing Management (Zeiierman) indicator is designed for traders who seek an automated and dynamic approach to managing trailing stops. It helps traders make systematic decisions regarding when to enter and exit trades based on the calculated risk-reward ratio. By providing a clear visual representation of trailing stop levels and risk-reward metrics, the indicator is an essential tool for both novice and experienced traders aiming to enhance their trading discipline.
The Trailing Management (Zeiierman) indicator integrates a Break-Even Curve feature to enhance its utility in trailing stop management and risk-reward optimization. The Break-Even Curve illuminates the precise point at which a trade neither gains nor loses value, offering clarity on the risk-reward landscape. Furthermore, this precise point is calculated based on the required win rate and the risk/reward ratio. This calculation aids traders in understanding the type of strategy they need to employ at any given time to be profitable. In other words, traders can, at any given point, assess the kind of strategy they need to utilize to make money, depending on the price's position within the risk/reward box.
█ How It Works
The indicator operates by computing the highest high and the lowest low over a user-defined period and then applying this information to determine optimal trailing stop levels for both long and short positions.
Directional Bias:
It establishes the direction of the market trend by comparing the index of the highest high and the lowest low within the lookback period.
Bullish
Bearish
Trailing Stop Adjustment:
The trailing stops are adjusted using one of three methods: an automatic calculation based on the median of recent peak differences, pivot points, or a fixed percentage defined by the user.
The Break-Even Curve:
The Break-Even Curve, along with the risk/reward ratio, is determined through the trailing method. This approach utilizes the current closing price as a hypothetical entry point for trades. All calculations, including those for the curve, are based on this current closing price, ensuring real-time accuracy and relevance. As market conditions fluctuate, the curve dynamically adjusts, offering traders a visual benchmark that signifies the break-even point. This real-time adjustment provides traders with an invaluable tool, allowing them to visually track how shifts in the market could impact the point at which their trades neither gain nor lose value.
Example:
Let's say the price is at the midpoint of the risk/reward box; this means that the risk/reward ratio should be 1:1, and the minimum win rate is 50% to break even.
In this example, we can see that the price is near the stop-loss level. If you are about to take a trade in this area and would respect your stop, you only need to have a minimum win rate of 11% to earn money, given the risk/reward ratio, assuming that you hold the trade to the target.
In other words, traders can, at any given point, assess the kind of strategy they need to employ to make money based on the price's position within the risk/reward box.
█ How to Use
Market Bias:
When using the Auto Bias feature, the indicator calculates the underlying market bias and displays it as either bullish or bearish. This helps traders align their trades with the underlying market trend.
Risk Management:
By observing the plotted trailing stops and the risk-reward ratios, traders can make strategic decisions to enter or exit positions, effectively managing the risk.
Strategy selection:
The Break-Even Curve is a powerful tool for managing risk, allowing traders to visualize the relationship between their trailing stops and the market's price movements. By understanding where the break-even point lies, traders can adjust their strategies to either lock in profits or cut losses.
Based on the plotted risk/reward box and the location of the price within this box, traders can easily see the win rate required by their strategy to make money in the long run, given the risk/reward ratio.
Consider this example: The market is bullish, as indicated by the bias, and the indicator suggests looking into long trades. The price is near the top of the risk/reward box, which means entering the market right now carries a huge risk, and the potential reward is very low. To take this trade, traders must have a strategy with a win rate of at least 90%.
█ Settings
Trailing Method:
Auto: The indicator calculates the trailing stop dynamically based on market conditions.
Pivot: The trailing stop is adjusted to the highest high (long positions) or lowest low (short positions) identified within a specified lookback period. This method uses the pivotal points of the market to set the trailing stop.
Percentage: The trailing stop is set at a fixed percentage away from the peak high or low.
Trailing Size (prd):
This setting defines the lookback period for the highest high and lowest low, which affects the sensitivity of the trailing stop to price movements.
Percentage Step (perc):
If the 'Percentage' method is selected, this setting determines the fixed percentage for the trailing stop distance.
Set Bias (bias):
Allows users to set a market bias which can be Bullish, Bearish, or Auto, affecting how the trailing stop is adjusted in relation to the market trend.
-----------------
Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Turtle Trading Strategy@lihexieThe full implementation of the Turtle Trading Rules (as distinct from the various truncated versions circulating within the community) is now ready.
This trading strategy script distinguishes itself from all currently publicly available Turtle trading systems on Tradingview by comprehensively embodying the rules for entries, exits, position management, and profit and loss controls.
Market Selection:
Trade in highly liquid markets such as forex, commodity futures, and stock index futures.
Entry Strategies:
Model 1: Buy when the price breaks above the highest point of the last 20 trading days; Sell when the price drops below the lowest point of the last 20 trading days. When an entry opportunity arises, if the previous trade was profitable, skip the current breakout opportunity and refrain from entering.
Model 2: Buy when the price breaks above the highest point of the last 55 trading days; Sell when the price drops below the lowest point of the last 55 trading days.
Position Sizing:
Determine the size of each position based on the price volatility (ATR) to ensure that the risk of each trade does not exceed 2% of the account balance.
Exit Strategies:
1. Use a fixed stop-loss point to limit losses: Close long positions when the price falls below the lowest point of the last 10 trading days.
2. Trailing stop-loss: Once a position is profitable, adjust the stop-loss point to protect profits.
Pyramiding Rules:
Unit Doubling: Increase position size by one unit every time the price moves forward by n (default is 0.5) units of ATR, up to a maximum of 4 units, while also raising the stop-loss point to below the ATR value at the level of additional entries.
海龟交易法则的完整实现（区别于当前社区各种有阉割海龟交易系统代码）
本策略脚本区别于Tradingview目前公开的所有的海龟交易系统，完整的实现了海龟交易法则中入场、出场、仓位管理，止盈止损的规则。
市场选择：
选择流动性高的市场进行交易，如外汇、商品期货和股指期货等。
入市策略：
模式1：当价格突破过去20个交易日的高点时，买入；当价格跌破过去20个交易日的低点时，卖出。当出现入场机会时，如果上一笔交易是盈利的，那么跳过当前突破的机会，不进行入场。
模式2：当价格突破过去55个交易日的高点时，买入；当价格跌破过去55个交易日的低点时，卖出。
头寸规模：
根据价格波动性（ATR）来确定每个头寸的大小, 使每笔交易的风险不超过账户余额的2%。
退出策略：
1. 使用一个固定的止损点来限制损失：当多头头寸的价格跌破过去10个交易日的低点时，平仓止损。
2. 跟踪止损：一旦头寸盈利，移动止损点以保护利润。
加仓规则：
单位加倍：每当价格向前n（默认是0.5）个单位的ATR移动时，就增加一个单位的头寸大小（默认最大头寸数量是4个），同时将止损点提升至加仓点位的ATR值以下。
TTP Intelligent AccumulatorThe intelligent accumulator is a proof of concept strategy. A hybrid between a recurring buy and TA-based entries and exits.
Distribute the amount of equity and add to your position as long as the TA condition is valid.
Use the exit TA condition to define your exit strategy.
Decide between adding only into losing positions to average down or take a riskier approach by allowing to add into a winning position as well.
Take full profit or distribute your exit into multiple take profit exists of the same size.
You can also decide if you allow your exit conditions to close your position in a loss or require a minimum take profit %.
The strategy includes a default built-in TA conditions just for showcasing the idea but the final intent of this script is to delegate the TA entries and exists to external sources.
The internal conditions use RSI length 7 crossing below the BB with std 1 for entries and above for exits.
To control the number of orders use the properties from settings:
- adjust the pyramiding
- adjust the percentage of equity
- make sure that pyramiding * % equity equals 100 to prevent over use of equity (unless using leverage)
The script is designed as an alternative to daily or weekly recurring buys but depending on the accuracy of your TA conditions it might prove profitable also in lower timeframes.
The reason the script is named Intelligent is because recurring buy is most commonly used without any decision making: buy no matter what with certain frequency. This strategy seeks to still perform recurring buys but filtering out some of the potential bad entries that can delay unnecessarily seeing the position in profits. The second reason is also securing an exit strategy from the beginning which no recurring buy option offers out-of-the-box.
ROCE with 3-Year EMAThis Pine Script indicator, "3-Year EMA of Return on Capital Employed (ROCE)," is designed for investors and traders who incorporate both fundamental and technical analysis in their market approach. ROCE is a crucial metric for evaluating the efficiency and profitability of a company's capital employment. Our script enhances this analysis by overlaying a 3-year Exponential Moving Average (EMA) on the ROCE, allowing users to compare current performance against a longer-term trend.
Key Features:
ROCE Calculation: The script calculates the Return on Capital Employed (ROCE) using EBIT (Earnings Before Interest and Taxes) for the Trailing Twelve Months (TTM) and Capital Employed (Total Assets minus Short Term Debt) for the Fiscal Year (FY). This calculation provides a snapshot of how effectively a company is using its capital to generate profits.
3-Year EMA Overlay: The script features a 3-year EMA of the ROCE, providing a smoothed, long-term trend line. This EMA helps in identifying broader trends in a company's operational efficiency and profitability, making it easier to spot deviations from the historical norm.
Customizable for Different Data Frequencies: Whether your data is quarterly, monthly, or weekly, the script is adaptable. The length of the EMA is adjustable to suit the data frequency, ensuring accurate representation over a 3-year period.
Visualization: The ROCE and its 3-year EMA are plotted with distinct colors for easy comparison and analysis. This visual representation aids in quickly assessing the company's current performance against its historical trend.
Customization: Users can adjust the EMA length to match the frequency of their data (e.g., 12 for quarterly, 36 for monthly, 156 for weekly data).
Usage Tips:
Best used on companies with stable and consistent reporting.
Combine with other fundamental and technical indicators fo
r comprehensive analysis.
Disclaimer: This script is provided for informational and educational purposes only and should not be construed as investment advice.
Donchian Quest Research// =================================
Trend following strategy.
// =================================
Strategy uses two channels. One channel - for opening trades. Second channel - for closing.
Channel is similar to Donchian channel, but uses Close prices (not High/Low). That helps don't react to wicks of volatile candles (“stop hunting”). In most cases openings occur earlier than in Donchian channel. Closings occur only for real breakout.
// =================================
Strategy waits for beginning of trend - when price breakout of channel. Default length of both channels = 50 candles.
Conditions of trading:
- Open Long: If last Close = max Close for 50 closes.
- Close Long: If last Close = min Close for 50 closes.
- Open Short: If last Close = min Close for 50 closes.
- Close Short: If last Close = max Close for 50 closes.
// =================================
Color of lines:
- black - channel for opening trade.
- red - channel for closing trade.
- yellow - entry price.
- fuchsia - stoploss and breakeven.
- vertical green - go Long.
- vertical red - go Short.
- vertical gray - close in end, don't trade anymore.
// =================================
Order size calculated with ATR and volatility.
You can't trade 1 contract in BTC and 1 contract in XRP - for example. They have different price and volatility, so 1 contract BTC not equal 1 contract XRP.
Script uses universal calculation for every market. It is based on:
- Risk - USD sum you ready to loss in one trade. It calculated as percent of Equity.
- ATR indicator - measurement of volatility.
With default setting your stoploss = 0.5 percent of equity:
- If initial capital is 1000 USD and used parameter "Permit stop" - loss will be 5 USD (0.5 % of equity).
- If your Equity rises to 2000 USD and used parameter "Permit stop"- loss will be 10 USD (0.5 % of Equity).
// =================================
This Risk works only if you enable “Permit stop” parameter in Settings.
If this parameter disabled - strategy works as reversal strategy:
⁃ If close Long - channel border works as stoploss and momentarily go Short.
⁃ If close Short - channel border works as stoploss and momentarily go Long.
Channel borders changed dynamically. So sometime your loss will be greater than ‘Risk %’. Sometime - less than ‘Risk %’.
If this parameter enabled - maximum loss always equal to 'Risk %'. This parameter also include breakeven: if profit % = Risk %, then move stoploss to entry price.
// =================================
Like all trend following strategies - it works only in trend conditions. If no trend - slowly bleeding. There is no special additional indicator to filter trend/notrend. You need to trade every signal of strategy.
Strategy gives many losses:
⁃ 30 % of trades will close with profit.
⁃ 70 % of trades will close with loss.
⁃ But profit from 30% will be much greater than loss from 70 %.
Your task - patiently wait for it and don't use risky setting for position sizing.
// =================================
Recommended timeframe - Daily.
// =================================
Trend can vary in lengths. Selecting length of channels determine which trend you will be hunting:
⁃ 20/10 - from several days to several weeks.
⁃ 20/20 or 50/20 - from several weeks to several months.
⁃ 50/50 or 100/50 or 100/100 - from several months to several years.
// =================================
Inputs (Settings):
- Length: length of channel for trade opening/closing. You can choose 20/10, 20/20, 50/20, 50/50, 100/50, 100/100. Default value: 50/50.
- Permit Long / Permit short: Longs are most profitable for this strategy. You can disable Shorts and enable Longs only. Default value: permit all directions.
- Risk % of Equity: for position sizing used Equity percent. Don't use values greater than 5 % - it's risky. Default value: 0.5%.
⁃ ATR multiplier: this multiplier moves stoploss up or down. Big multiplier = small size of order, small profit, stoploss far from entry, low chance of stoploss. Small multiplier = big size of order, big profit, stop near entry, high chance of stoploss. Default value: 2.
- ATR length: number of candles to calculate ATR indicator. It used for order size and stoploss. Default value: 20.
- Close in end - to close active trade in the end (and don't trade anymore) or leave it open. You can see difference in Strategy Tester. Default value: don’t close.
- Permit stop: use stop or go reversal. Default value: without stop, reversal strategy.
// =================================
Properties (Settings):
- Initial capital - 1000 USD.
- Script don't uses 'Order size' - you need to change 'Risk %' in Inputs instead.
- Script don't uses 'Pyramiding'.
- 'Commission' 0.055 % and 'Slippage' 0 - this parameters are for crypto exchanges with perpetual contracts (for example Bybit). If use on other markets - set it accordingly to your exchange parameters.
// =================================
Big dataset used for chart - 'BITCOIN ALL TIME HISTORY INDEX'. It gives enough trades to understand logic of script. It have several good trends.
// =================================
Narrow Range StrategyNarrow Range Strategy :
INTRODUCTION :
This strategy is based on the Narrow Range Day concept, implying that low volatility will generate higher volatility in the days ahead. The strategy sends us buy and sell signals with well-defined profit targets. It's a medium/long-term strategy. There's also a money management method that allows us to reinvest part of the profits or reduce the size of orders in the event of substantial losses.
NARROW RANGE (NR) DAY :
A Narrow Range Day is a day in which price variations are included in those of a specific day some time before. The high and low of this specific day form the "reference range". In general, we compare these variations with those of 4 or 7 days ago. The mathematical formula for finding an NR4 is :
If low > low(4) and high < high(4) :
nr = true
This implies that the current low is greater than the low of 4 days ago, and the current high is smaller than the high of 4 days ago. So today's volatility is lower than that of 4 days ago, and may be a sign of high volatility to come.
PARAMETERS :
Narrow Range Length : Corresponds to the number of candles back to compare current volatility. The default is 4, allowing comparison of current volatility with that of 4 candles ago.
Stop Loss : Percentage of the reference range on which to set an exit order to limit losses. The minimum value is 0.001, while the maximum is 1. The default value is 0.35.
Fixed Ratio : This is the amount of gain or loss at which the order quantity is changed. The default is 400, which means that for each $400 gain or loss, the order size is increased or decreased by an amount chosen by the user.
Increasing Order Amount : This is the amount to be added to or subtracted from orders when the fixed ratio is reached. The default is $200, which means that for every $400 gain, $200 is reinvested in the strategy. On the other hand, for every $400 loss, the order size is reduced by $200.
Initial capital : $1000
Fees : Interactive Broker fees apply to this strategy. They are set at 0.18% of the trade value.
Slippage : 3 ticks or $0.03 per trade. Corresponds to the latency time between the moment the signal is received and the moment the order is executed by the broker.
Important : A bot was used to test NR4 and NR7 with all possible Stop Losses in order to find out which combination generates the highest return on BITSTAMP:ETHUSD while limiting the drawdown. This strategy is the most optimal with an NR4 and a SL of 35% of the reference range size in 5D timeframe.
BUY AND SHORT SIGNALS :
When an NR is spotted, we create two stop orders on the high and low of the reference range. As soon as there's a breakout from this reference range (shown in blue on the chart), we open a position. We're LONG if there's a breakout on the high and SHORT if there's a breakout on the low. Executing a stop order cancels the second stop order.
RISK MANAGEMENT :
This strategy is subject to losses. We manage our risk with Stop Losses. The user is free to enter a SL as a percentage of the reference range. The maximum amount risked per trade therefore depends on the size of the range. The larger the range, the greater the risk. That's why we have set a maximum Stop Loss to 10% to limiting risks per trade.
The special feature of this strategy is that it targets a precise profit objective. This corresponds to the size of the reference range at the top of the high if you're LONG, or at the bottom of the low if you're short. In the same way, the larger the reference range, the greater the potential profits.
The risk reward remains the same for all trades and amounts to : 100/35 = 2.86. If the reference range is too high, we have set a SL to 10% of the trade value to limit losses. In that case, the risk reward is less than 2.86.
MONEY MANAGEMENT :
The fixed ratio method was used to manage our gains and losses. For each gain of an amount equal to the value of the fixed ratio, we increase the order size by a value defined by the user in the "Increasing order amount" parameter. Similarly, each time we lose an amount equal to the value of the fixed ratio, we decrease the order size by the same user-defined value. This strategy increases both performance and drawdown.
NOTE :
Please note that the strategy is backtested from 2017-01-01. As the timeframe is 5D, this strategy is a medium/long-term strategy. That's why only 37 trades were closed. Be careful, as the test sample is small and performance may not necessarily reflect what may happen in the future.
Enjoy the strategy and don't forget to take the trade :)
Auto Trailing stoploss By InvestYourAsset💥The Auto Trailing Stop-Loss indicator is a technical indicator that uses the ATR (Average True Range) to calculate a trailing stop-loss for both long and short positions.
💥The signals according to the indicator allows traders to exit from the position before its too late! The indicator can be used to determine when to enter and exit trades.
💥To use the indicator, you simply need to set the input parameters to suit your trading style and risk tolerance. The default values for the parameters are:
p: The ATR period (14)
q: The stop period (20)
x: The multiplier used to calculate the initial high and initial low (1.5)
Calculations:
📈Calculates the ATR using the specified period you can modify ATR period according to your trading style.
📈Calculates the initial high and low stop levels based on the highest high and lowest low over the user defined ATR period.
📈Calculates short and long stoploss levels using the initial high and low stops.
💥Once you have set the input parameters according to your trading style whether you are a day trader or a swing trader, the indicator will plot the short stoploss, long stoploss, and stoploss hit signals on your chart.
💥You can use the indicator to enter and exit trades in a various ways.
For example,
🚀 you could enter a long trade when the price crosses above both red and green lines plotted on the chart. (or when price crosses over both short stoploss and long stoploss.) You could also use the indicator to secure your profits by moving your stop-loss up as the price moves in your favor.
Here is an example of how you could use the indicator to enter and exit trades:
🚀Enter a long trade when the price crosses above the red line or short stoploss.
✅keep Moving your stop-loss upward with the long stoploss or green line.
✅Exit the trade when the price crosses below the long stoploss or green line.
💥You can also use the indicator to protect your existing trades. For example, if you are already in a long trade, you could move your stop-loss up to the short stop when the price moves up 10%. This will help you to protect your profits in case the price starts to move against you.
💥💥some additional tips for using the Auto Trailing Stop-Loss indicator:
✅Use the indicator in conjunction with other technical indicators or your own trading strategy to generate entry and exit signals.
✅Backtest your trading strategy before using it live to make sure that it is profitable.
✅Use the indicator to protect your profits by moving your stop-loss up as the price moves in your favor.
✅ Always follow risk management rules and manage your position sizing according to your risk appetite.
✅ Be aware of the overall trend direction. If the trend is up, you should be looking for bullish reversals or continuations. If the trend is down, you should be looking for bearish reversals or continuations.
This script essentially provides a visual representation of a trading strategy that automatically adjusts stop-loss levels based on market volatility (ATR). It also includes signals for entering long or short positions and visually highlights these signals on the chart.
📣📣Follow us for timely updates regarding future indicators and give it a like if you appreciate the work.📣📣
Risk Reward Optimiser [ChartPrime]█ CONCEPTS
In modern day strategy optimization there are few options when it comes to optimizing a risk reward ratio. Users frequently need to experiment and go through countless permutations in order to tweak, adjust and find optimal in their data.
Therefore we have created the Risk Reward Optimizer.
The Risk Reward Optimizer is a technical tool designed to provide traders with comprehensive insights into their trading strategies.
It offers a range of features and functionalities aimed at enhancing traders' decision-making process.
With a focus on comprehensive data, it is there to help traders quickly and efficiently locate Risk Reward optimums for inbuilt of custom strategies.
█ Internal and external Signals:
The script can optimize risk to reward ratio for any type of signals
You can utilize the following :
🔸Internal signals ➞ We have included a number of common indicators into the optimizer such as:
▫️ Aroon
▫️ AO (Awesome Oscillator)
▫️ RSI (Relative Strength Index)
▫️ MACD (Moving Average Convergence Divergence)
▫️ SuperTrend
▫️ Stochastic RSI
▫️ Stochastic
▫️ Moving averages
All these indicators have 3 conditions to generate signals :
Crossover
High Than
Less Than
🔸External signal
▫️ by incorporating your own indicators into the analysis. This flexibility enables you to tailor your strategy to your preferences.
◽️ How to link your signal with the optimizer:
In order to be able to analysis your signal we need to read it and to do so we would need to PLOT your signal with a defined value
plot( YOUR LONG Condition ? 100 : 0 , display = display.data_window)
█ Customizable Risk to Reward Ratios:
This tool allows you to test seven different customizable risk to reward ratios , helping you determine the most suitable risk-reward balance for your trading strategy. This data-driven approach takes the guesswork out of setting stop-loss and take-profit levels.
█ Comprehensive Data Analysis:
The tool provides a table displaying key metrics, including:
Total trades
Wins
Losses
Profit factor
Win rate
Profit and loss (PNL)
This data is essential for refining your trading strategy.
🔸 It includes a tooltip for each risk to reward ratio which gives data for the:
Most Profitable Trade USD value
Most Profitable Trade % value
Most Profitable Trade Bar Index
Most Profitable Trade Time (When it occurred)
Position and size is adjustable
█ Visual insights with histograms:
Visualize your trading performance with histograms displaying each risk to reward ratio trade space, showing total trades, wins, losses, and the ratio of profitable trades.
This visual representation helps you understand the strengths and weaknesses of your strategy.
It offers tooltips for each RR ratio with the average win and loss percentages for further analysis.
█ Dynamic Highlighting:
A drop-down menu allows you to highlight the maximum values of critical metrics such as:
Profit factor
Win rate
PNL
for quick identification of successful setups.
█ Stop Loss Flexibility:
You can adjust stop-loss levels using three different calculation methods:
ATR
Pivot
VWAP
This allows you to align risk-reward ratios with your preferred risk tolerance.
█ Chart Integration:
Visualize your trades directly on your price chart, with each trade displayed in a distinct color for easy tracking.
When your take-profit (TP) level is reached , the tool labels the corresponding risk-reward ratio for that specific TP, simplifying trade management.
█ Detailed Tooltips:
Tooltips provide deeper insights into your trading performance. They include information about the most profitable trade, such as the time it occurred, the bar index, and the percentage gain. Histogram tooltips also offer average win and loss percentages for further analysis.
█ Settings:
█ Code:
In summary, the Risk Reward Optimizer is a data-driven tool that offers traders the ability to optimize their risk-reward ratios, refine their strategies, and gain a deeper understanding of their trading performance. Whether you're a day trader, swing trader, or investor, this tool can help you make informed decisions and improve your trading outcomes.
sᴛᴀɢᴇ ᴀɴᴀʏʟsɪsStage analysis is a technical analysis approach that involves categorizing a stock's price movements into different stages to help traders and investors make more informed decisions. It was popularized by Stan Weinstein in his book, "Secrets for Profiting in Bull and Bear Markets." The stages are used to identify the overall trend and to time entries and exits in the market. Here's an explanation of the typical stages in stage analysis:
1. **Stage 1: Accumulation Phase**
- In this stage, the stock is in a downtrend or has been trading sideways for an extended period.
- Volume is relatively low, indicating that institutions and smart money may be quietly accumulating shares.
- The stock may test and hold support levels, showing signs of stability.
- The goal for traders in this stage is to identify the potential for a trend reversal.
2. **Stage 2: Markup (Bull Market) Phase**
- This is the stage where the stock starts a significant uptrend.
- Volume increases as institutional and retail investors become more interested in the stock.
- Technical indicators like moving averages and trendlines confirm the uptrend.
- Traders and investors look for buying opportunities during pullbacks or consolidations within the uptrend.
3. **Stage 3: Distribution Phase**
- In this stage, the stock's price begins to show signs of weakness.
- Volume might decrease as institutions and smart money start selling their positions.
- The stock may start forming a trading range or exhibit bearish chart patterns.
- Traders should consider taking profits or reducing exposure to the stock as it may enter a downtrend.
4. **Stage 4: Markdown (Bear Market) Phase**
- This is the stage where the stock enters a significant downtrend.
- Volume may remain elevated as selling pressure dominates.
- Technical indicators confirm the downtrend.
- Traders and investors should avoid buying the stock and may consider short-selling or staying on the sidelines.
Stage analysis helps traders and investors make decisions based on the current stage of a stock's price movement. The goal is to enter during the accumulation phase or early in the markup phase and exit during the distribution phase or before the markdown phase to maximize profits and minimize losses.
=============================================================
try to just show the Stage number in a table, but always double check for yourself
Improved EMA & CDC Trailing Stop StrategyImproved EMA & CDC Trailing Stop Strategy
Objective: This strategy seeks to exploit potential trend reversals or continuations using Exponential Moving Averages (EMAs) and a trailing stop based on the Chande Dynamic Convergence Divergence (CDC) ATR method.
Components:
Exponential Moving Averages (EMAs):
60-period EMA (Blue Line): Faster-moving average that reacts more quickly to price changes.
90-period EMA (Red Line): Slower-moving average that provides a smoother indication of long-term price direction.
MACD Indicator:
Utilized to confirm the trend direction. When the MACD line is above its signal line, it may indicate a bullish trend. Conversely, when the MACD line is below its signal line, it may indicate a bearish trend.
CDC Trailing Stop ATR:
Used to set dynamic stop-loss levels that adjust with market volatility. This stop is based on the Average True Range (ATR) with a user-defined multiplier, providing the strategy with a flexible way to protect against adverse price movements.
Profit Targets:
Based on a multiple of the ATR, this sets an objective level at which to take profits, ensuring gains are captured while potentially still leaving room for further profitable movement.
Trading Rules:
Entry:
Long (Buy) Entry Conditions:
Price is above the 60-period EMA.
The 60-period EMA is above the 90-period EMA.
The MACD line is above its signal line.
Price is above the calculated CDC Trailing Stop ATR level.
Short (Sell) Entry Conditions:
Price is below the 60-period EMA.
The 60-period EMA is below the 90-period EMA.
The MACD line is below its signal line.
Price is below the calculated CDC Trailing Stop ATR level.
Exit:
Long (Buy) Exit Conditions:
Price reaches the predetermined profit target based on the ATR.
Price drops below the CDC Trailing Stop ATR level.
Short (Sell) Exit Conditions:
Price reaches the predetermined profit target based on the ATR.
Price rises above the CDC Trailing Stop ATR level.
Visualization:
The strategy displays the 60-period and 90-period EMAs on the chart.
The CDC Trailing Stop ATR levels for both long and short trades are also plotted for clarity.
The MACD Histogram is shown to visualize the difference between the MACD line and its signal line.
Recommendations: Before deploying this strategy, traders should backtest it across various historical data sets and market conditions. Regularly reviewing and potentially adjusting the strategy is recommended as market dynamics evolve.
YinYang RSI Volume Trend StrategyThere are many strategies that use RSI or Volume but very few that take advantage of how useful and important the two of them combined are. This strategy uses the Highs and Lows with Volume and RSI weighted calculations on top of them. You may be wondering how much of an impact Volume and RSI can have on the prices; the answer is a lot and we will discuss those with plenty of examples below, but first…
How does this strategy work?
It’s simple really, when the purchase source crosses above the inner low band (red) it creates a Buy or Long. This long has a Trailing Stop Loss band (the outer low band that's also red) that can be adjusted in the Settings. The Stop Loss is based on a % of the inner low band’s price and by default it is 0.1% lower than the inner band’s price. This Stop Loss is not only a stop loss but it can also act as a Purchase Available location.
You can get back into a trade after a stop loss / take profit has been hit when your Reset Purchase Availability After condition has been met. This can either be at Stop Loss, Entry or None.
It is advised to allow it to reset in case the stop loss was a fake out but the call was right. Sometimes it may trigger stop loss multiple times in a row, but you don’t lose much on stop loss and you gain lots when the call is right.
The Take Profit location is the basis line (white). Take Profit occurs when the Exit Source (close, open, high, low or other) crosses the basis line and then on a different bar the Exit Source crosses back over the basis line. For example, if it was a Long and the bar’s Exit Source closed above the basis line, and then 2 bars later its Exit Source closed below the basis line, Take Profit would occur. You can disable Take Profit in Settings, but it is very useful as many times the price will cross the Basis and then correct back rather than making it all the way to the opposing zone.
Longs:
If for instance your Long doesn’t need to Take Profit and instead reaches the top zone, it will close the position when it crosses above the inner top line (green).
Please note you can change the Exit Source too which is what source (close, open, high, low) it uses to end the trades.
The Shorts work the same way as the Long but just opposite, they start when the purchase source crosses under the inner upper band (green).
Shorts:
Shorts take profit when it crosses under the basis line and then crosses back.
Shorts will Stop loss when their outer upper band (green) is crossed with the Exit Source.
Short trades are completed and closed when its Exit Source crosses under the inner low red band.
So, now that you understand how the strategy works, let’s discuss why this strategy works and how it is profitable.
First we will discuss Volume as we deem it plays a much bigger role overall and in our strategy:
As I’m sure many of you know, Volume plays a huge factor in how much something moves, but it also plays a role in the strength of the movement. For instance, let’s look at two scenarios:
Bitcoin’s price goes up $1000 in 1 Day but the Volume was only 10 million
Bitcoin’s price goes up $200 in 1 Day but the Volume was 40 million
If you were to only look at the price, you’d say #1 was more important because the price moved x5 the amount as #2, but once you factor in the volume, you know this is not true. The reason why Volume plays such a huge role in Price movement is because it shows there is a large Limit Order battle going on. It means that both Bears and Bulls believe that price is a good time to Buy and Sell. This creates a strong Support and Resistance price point in this location. If we look at scenario #2, when there is high volume, especially if it is drastically larger than the average volume Bitcoin was displaying recently, what can we decipher from this? Well, the biggest take away is that the Bull’s won the battle, and that likely when that happens we will see bullish movement continuing to happen as most of the Bears Limit Orders have been fulfilled. Whereas with #2, when large price movement happens and Bitcoin goes up $1000 with low volume what can we deduce? The main takeaway is that Bull’s pressured the price up with Market Orders where they purchased the best available price, also what this means is there were very few people who were wanting to sell. This generally dictates that Whale Limit orders for Sells/Shorts are much higher up and theres room for movement, but it also means there is likely a whale that is ready to dump and crash it back down.
You may be wondering, what did this example have to do with YinYang RSI Volume Trend Strategy? Well the reason we’ve discussed this is because we use Volume multiple times to apply multiplications in our calculations to add large weight to the price when there is lots of volume (this is applied both positively and negatively). For instance, if the price drops a little and there is high volume, our strategy will move its bounds MUCH lower than the price actually dropped, and if there was low volume but the price dropped A LOT, our strategy will only move its bounds a little. We believe this reflects higher levels of price accuracy than just price alone based on the examples described above.
Don’t believe us?
Here is with Volume NOT factored in (VWMA = SMA and we remove our Volume Filter calculation):
Which produced -$2880 Profit
Here is with our Volume factored in:
Which produced $553,000 (55.3%)
As you can see, we wen’t from $-2800 profit with volume not factored to $553,000 with volume factored. That's quite a big difference! (Please note previous success does not predict future success we are simply displaying the $ amounts as example).
Now how about RSI and why does it matter in this strategy?
As I’m sure most of you are aware, RSI is one of the leading indicators used in trading. For this reason we figured it would only make sense to incorporate it into our calculations. We fiddled with RSI for quite awhile and sometimes what logically seems to be the right way to use it isn’t. Now, because of this, our RSI calculation is a little odd, but basically what we’re doing is we calculate the RSI, then turn it into a percentage (between 0-1) that can easily be multiplied to the price point we need. The price point we use is the difference between our high purchase zone and our low purchase zone. This allows us to see how much price movement there is between zones. We multiply our zone size with our RSI multiplication and we get the amount we will add +/- to our basis line (white line). This officially creates the NEW high and low purchase zones that we are actually using and displaying in our trades.
If you found that confusing, here are some examples to why it is an important calculation for this strategy:
Before RSI factored in:
Which produced 27.8% Profit
After RSI factored in:
Which produced 553% Profit
As you can see, the RSI makes not only the purchase zones more accurate, but it also greatly increases the profit the strategy is able to make. It also helps ensure an relatively linear profit slope so you know it is reliable with its trades.
This strategy can work on pretty much anything, but you should tweak the values a bit for each pair you are trading it with for best results.
We hope you can find some use out of this simple but effective strategy, if you have any questions, comments or concerns please let us know.
HAPPY TRADING!
Ruth Buy/Sell Signal for Day Trade and Swing TradeRuth is based on the most known technical indicators and designed for intraday traders. Ruth's aim is to find the best Buy/Sell points and decide to stop loss point with minimum Loss also Ruth tries to find multiple Profit points as TP1/TP2/TP3/TP4/TP5. Ruth was designed based on the heat map colors to be user-friendly and easy to read. While cold color preferred for Short positions, warm colors preferred for Long positions. The most important feature of Ruth is that after the signal is generated, the candles in which the profitable levels are painted one by one with their own special color codes, so that even the most inexperienced users can understand where they should close their positions.
There are two types of signal Ruth can produce for fast trade.
Short Signal: These signals means market tends to be move to down.
Short Stop Loss Point: This is the maximum risk for the position. Shown with single red line inside of the signal.
Short Entry Point: This is the best entry price for short side position. Shown with single baby blue line inside of the signal.
Short Take Profit (TP1): This level represents the profit level the signal is most likely to reach. Shown with single blue line inside of the signal.
Short Take Profit (TP2): This level represents the profit level with a high probability of the signal occurring. Shown with single light purple line inside of the signal.
Short Take Profit (TP3): This level represents the profit level with an intermediate probability of the signal occurring. Shown with single dark purple line inside of the signal.
Short Take Profit (TP4): This level represents the profit level with a low probability of the signal occurring. Shown with single light lilac line inside of the signal.
Short Take Profit (TP5): This level represents the profit level with a tight probability of the signal occurring. Shown with single dark lilac line inside of the signal.
Long Signal: These signals means market tends to be move to up.
Long Stop Loss Point: This is the maximum risk for the position. Shown with single red line inside of the signal.
Long Entry Point: This is the best entry price for short side position. Shown with single baby blue line inside of the signal.
Long Take Profit (TP1): This level represents the profit level the signal is most likely to reach. Shown with single greenish yellow line inside of the signal.
Long Take Profit (TP2): This level represents the profit level with a high probability of the signal occurring. Shown with yellow purple line inside of the signal.
Long Take Profit (TP3): This level represents the profit level with an intermediate probability of the signal occurring. Shown with single dark yellow line inside of the signal.
Long Take Profit (TP4): This level represents the profit level with a low probability of the signal occurring. Shown with single orange line inside of the signal.
Long Take Profit (TP5): This level represents the profit level with a tight probability of the signal occurring. Shown with single dark orange line inside of the signal.
Timeframe: In general best and fastest results occurred in shorter timeframes like 1 min / 5 mins / 15 mins but feel free to try higher timeframes.
Tips & Tricks:
1) Gray line drawn ot the graph represents Dema, we suggests you to go on Short Singals under gray line and go on Long Signals upper gray line.
2) Mostly, Signals easily reach their TP2 / TP3 levels and then generally there is reaction or take profit desire so commodity price turns the opposite direction. If in short time price won't turn to Signal direction close position.
3) Don't forget, every positions has own risks and profits but trade in main trend is crucial.
Fundamental Metrics v1.2LETS MAKE FUNDAMENTALS GREAT AGAIN!!!
This is a basic Script to show a list of financial metrics or key performance indicators (KPIs) that are commonly used to assess the financial health and performance of a company.
Let's break down what each of these metrics represents:
1. Long-Term Debt (LTD): This represents the total amount of debt that a company owes that is expected to be paid back over a period of more than one year. It includes bonds, loans, and other long-term borrowing.
2. Ex-Capital Lease: This might refer to the company's obligations related to capital leases, which are long-term lease agreements for assets like equipment or property. "Ex" typically stands for "excluding," so this could be the amount of capital lease obligations excluded from the company's financials.
3. Total Revenue: This is the total income generated by a company from its primary operations. It includes sales of goods or services before any deductions for costs or expenses.
4. Total Equity: This is the total value of ownership or shareholders' equity in the company. It represents the residual interest in the assets of the entity after deducting liabilities.
5. Cash & Equivalents: This refers to the total amount of cash and assets that are easily convertible into cash, such as marketable securities or short-term investments.
6. Revenue Estimates: This could refer to the company's projections or estimates of future revenues, typically for the current fiscal year (FY).
7. Free Cash Flow (FCF): FCF represents the cash generated by a company's operations after deducting capital expenditures (CapEx) required to maintain or expand its asset base. It's a measure of a company's ability to generate cash from its core operations.
8. EBITDA (Earnings Before Interest, Taxes, Depreciation, and Amortization): EBITDA is a measure of a company's operating performance. It looks at earnings before considering the effects of interest, taxes, depreciation, and amortization. It's often used to assess profitability.
9. Market Capitalization (Market Cap): Market cap is the total value of a company's outstanding shares of stock in the stock market. It's calculated by multiplying the current share price by the total number of outstanding shares.
These metrics are essential for investors, analysts, and stakeholders to evaluate a company's financial position, performance, and overall health. They provide insights into various aspects of a company's operations, such as its debt obligations, revenue generation, profitability, and market value. Companies often report these metrics in their financial statements and disclosures to help investors make informed decisions.
Linear Cross Trading StrategyLinear Cross Trading Strategy
The Linear Cross trading strategy is a technical analysis strategy that uses linear regression to predict the future price of a stock. The strategy is based on the following principles:
The price of a stock tends to follow a linear trend over time.
The slope of the linear trend can be used to predict the future price of the stock.
The strategy enters a long position when the predicted price crosses above the current price, and exits the position when the predicted price crosses below the current price.
The Linear Cross trading strategy is implemented in the TradingView Pine script below. The script first calculates the linear regression of the stock price over a specified period of time. The script then plots the predicted price and the current price on the chart. The script also defines two signals:
Long signal: The long signal is triggered when the predicted price crosses above the current price.
Short signal: The short signal is triggered when the predicted price crosses below the current price.
The script enters a long position when the long signal is triggered and exits the position when the short signal is triggered.
Here is a more detailed explanation of the steps involved in the Linear Cross trading strategy:
Calculate the linear regression of the stock price over a specified period of time.
Plot the predicted price and the current price on the chart.
Define two signals: the long signal and the short signal.
Enter a long position when the long signal is triggered.
Exit the long position when the short signal is triggered.
The Linear Cross trading strategy is a simple and effective way to trade stocks. However, it is important to note that no trading strategy is guaranteed to be profitable. It is always important to do your own research and backtest the strategy before using it to trade real money.
Here are some additional things to keep in mind when using the Linear Cross trading strategy:
The length of the linear regression period is a key parameter that affects the performance of the strategy. A longer period will smooth out the noise in the price data, but it will also make the strategy less responsive to changes in the price.
The strategy is more likely to generate profitable trades when the stock price is trending. However, the strategy can also generate profitable trades in ranging markets.
The strategy is not immune to losses. It is important to use risk management techniques to protect your capital when using the strategy.
I hope this blog post helps you understand the Linear Cross trading strategy better. Booost and share with your friend, if you like.
