Gaussian Weighted Moving Average with Forecast [CHE]Presentation for TradingView: Gaussian Weighted Moving Average with Forecast
Introduction
Welcome to our presentation on the "Gaussian Weighted Moving Average with Forecast" (GWMA). This script, written in Pine Script™, offers an enhanced method for analyzing and predicting price movements on TradingView. The script combines Gaussian Weighted Moving Averages and polynomial regression to provide accurate and customizable forecasts.
Overview
Title: Gaussian Weighted Moving Average with Forecast
Author: chervolino
License: Mozilla Public License 2.0
Main Features
1. Gaussian Weighted Moving Average (GWMA):
- Calculates a weighted moving average using a Gaussian weighting function.
- Parameters for length and standard deviation allow fine-tuning of the smoothing effect.
2. Polynomial Regression with Forecast:
- Creates a model to predict future price movements.
- Adjustable length and degree of polynomial regression.
- Option to extrapolate predictions and visualize them.
3. Visual Representation:
- Uses lines and colors to depict trend changes.
- Customizable colors for upward and downward trends.
Input Parameters
Length: Length of the moving average (default: 50)
Standard Deviation: Standard deviation for Gaussian weighting (default: 10.0)
Width: Width of the plotted lines (default: 1)
Colors: Customizable colors for upward and downward trends
Forecast Length: Length of the forecast period (default: 20)
Extrapolate Length: Length of the extrapolation (default: 50)
Polynomial Degree: Degree of the polynomial regression (default: 3)
Lock Forecast: Option to lock and stabilize the forecast
Core Algorithms
1. Gaussian Weight Calculation:
gaussian_weight(x, std_dev) =>
1 / (std_dev * math.sqrt(2 * math.pi)) * math.exp(-0.5 * math.pow(x / std_dev, 2))
2. GWMA Calculation:
calculate_gwma(length, std_dev) =>
// Algorithm to calculate the weighted moving average
3. Initialize Lines for Polynomial Regression:
initialize_lines_array(extrapolate, length) =>
// Initialize array lines
4. Create Design Matrix for Polynomial Regression:
get_design_matrix(length, degree) =>
// Create the design matrix
5. Calculate and Plot Polynomial Regression:
calculate_polynomial_regression(src, length, degree, extrapolate, lines_arr, lock, width, upward_color, downward_color) =>
// Algorithm to calculate polynomial regression and plot the forecast
Combining Indicators: Originality and Usefulness
The combination of Gaussian Weighted Moving Average and polynomial regression provides traders with a robust tool for trend analysis and prediction. The GWMA smooths out price data while emphasizing recent prices, making it sensitive to short-term trends. Polynomial regression, on the other hand, offers a mathematical approach to model and forecast future prices based on historical data. By integrating these two methodologies, traders can achieve a more comprehensive view of market trends and potential future movements, making the tool highly valuable for decision-making.
Explanation for Users
Most TradingView users are not familiar with Pine Script, so a clear description is essential for understanding how to use the script.
Gaussian Weighted Moving Average (GWMA): This indicator calculates a moving average using Gaussian weights, which gives more importance to recent prices. The length and standard deviation parameters allow users to control the sensitivity and smoothness of the average.
Polynomial Regression with Forecast: This feature uses polynomial regression to model the price trend and predict future movements. Users can adjust the length of the historical data used, the degree of the polynomial, and the length of the forecast. The script plots these predictions, making it easier for traders to visualize potential future price paths.
Visualization of Results
1. GWMA Plotting:
plot(gaussian_ma_result, title="GWMA", color=line_color, linewidth=width_input)
2. Forecast Extrapolation:
plot(forecast_val, 'Extrapolation', offset=extrapolate_setting, linewidth=width_input, style=plot.style_circles)
Conclusion
The "Gaussian Weighted Moving Average with Forecast" script provides a powerful tool for analyzing and predicting price movements on TradingView. By combining Gaussian weighting and polynomial regression, it offers a precise and customizable method for trend analysis and forecasting.
Thank you for your attention! For any questions or further information, please feel free to reach out.
חפש סקריפטים עבור "tradingview+金龙指数"
Time-based Alerts for Trading Windows🌟 Time-based Alerts for Trading Windows 🌐📈
This is a re-uploaded script as the previous one got hidden.
This Time-based Alerts for Trading Windows script is a highly customizable and reliable tool designed to assist traders in managing automated strategies or manually monitoring specific market conditions. Inspired by CrossTrade's Time-based Alert, this script is tailored for those who rely on precise time windows to trigger actions, such as sending webhook signals or managing Expert Advisors (EAs).
Whether you are a scalper, day trader, or algorithmic trader, this script empowers you to stay on top of your trades with fully customizable time-based alerts.
🛠️ Customizable Time Alerts
This indicator allows you to create up to 12 unique time windows by specifying the exact hour and minute for each alert. Each time window corresponds to an individual alert condition, making it perfect for managing trades during specific market sessions or key time periods.
For example:
Alert 1 can be set at 9:30 AM (market open).
Alert 2 can be set at 3:55 PM (just before market close).
Each alert can be toggled on or off in the indicator settings, allowing you to manage alerts without having to reconfigure your script.
You can adjust the colours to fit any colour scheme you like!
🕒 Odd and Even Time Alerts
The script comes with three built-in alert type categories:
Odd Alerts (marked with a green triangle on the chart): These correspond to odd-numbered inputs like Alert 1, Alert 3, Alert 5, and so on.
Even Alerts (marked with a red triangle on the chart): These correspond to even-numbered inputs like Alert 2, Alert 4, Alert 6, and so on.
You can also customize all 12 alerts individually to include a custom alert message
These alerts serve as a convenient way to differentiate between multiple trading strategies or market conditions. You can customize alert messages for odd and even alerts directly from TradingView’s alert panel.
🔗 Webhook Integration for Automation
This script is fully compatible with webhook-based automation. By configuring your alerts in TradingView, you can send signals to trading bots, EAs, or any third-party system. For example, you can:
Turn off an EA at a specific time (e.g., 3:55 PM EST).
Send buy/sell signals to your bot during predefined trading windows.
Simply use TradingView’s alert message editor to format webhook payloads for your automation system.
🌐 Timezone Flexibility
Trading happens across multiple time zones, and this script accounts for that. You can toggle between:
Eastern Time (New York): Ideal for most US-based markets.
Central Time (Exchange): Useful for futures and commodities traders.
This ensures your alerts are always in sync with your preferred time zone, eliminating confusion.
🎨 Visual Indicators
The script plots visual markers directly on your chart to indicate active alerts:
Up Facing Triangles: Represent odd-numbered alerts, providing a quick reference for these time windows.
Down Facing Triangles: Represent even-numbered alerts, helping you track different strategies or conditions.
These visual markers make it easy to see when alerts are triggered, even at a glance.
📈 Practical Use Case
Let’s say you’re trading the USTEC index on a 1-minute chart. You want to:
Turn off your trading bot at 16:55 EST to avoid after-market volatility.
Trigger a re-entry signal at 17:30 EST to capture moves during the Asian session.
Visually monitor these actions on your chart for easy reference.
This script makes it possible with precision alerts and webhook integration. Simply configure the time windows in the settings and set up your alerts in TradingView.
🚨 How to Set Up Alerts
Enable or Disable Alerts: Use the script’s settings to toggle specific alerts on or off as needed.
Set Custom Time Windows: Define the hour and minute for each alert in the settings panel.
Create Alerts in TradingView:
Go to the TradingView alert panel.
Select the condition (e.g., "Odd Time-based Alert (Green)" or "Even Time-based Alert (Red)").
Customize the alert message for webhook integration or personal notification.
Choose the trigger type: Once Per Bar or Once Per Bar Close to keep the alert active.
Integrate with Webhooks: Use the alert message field to format payloads for automation systems like MT4, MT5, or third-party bots.
📋 Key Notes
Alerts can trigger indefinitely if set to "Once Per Bar" or "Once Per Bar Close".
Always ensure the expiration date is set far in the future to avoid unexpected alert deactivation.
Test webhook messages and alert configurations thoroughly before using them in live trading.
This script is a powerful addition to your trading toolbox, offering precision, flexibility, and automation capabilities. Whether you’re turning off an EA, managing trades during market sessions, or automating strategies via webhooks, this script is here to support you.
Start using the Time-based Alerts for Trading Windows today and trade with confidence! 🚀✨
Multi-Symbol Volume Increase Screener [CHE] MultiSymbol Volume Increase Screener
Designed for TradingView
Presented by Chervolino
Introduction
Welcome to the presentation of the MultiSymbol Volume Increase Screener—a powerful tool designed to enhance your trading strategy on TradingView. Developed at the request of jscott143, this screener provides traders with realtime insights into significant volume movements across multiple symbols, enabling more informed and timely trading decisions.
Purpose and Objectives
Identify HighVolume Opportunities: Detect symbols experiencing a significant increase in volume compared to their historical average.
Monitor Multiple Symbols Simultaneously: Efficiently track up to five symbols in one view.
RealTime Alerts: Receive instant notifications when predefined volume conditions are met.
Comprehensive Overview: Display volume data and percentage increases in an organized table for easy analysis.
Key Features
1. MultiSymbol Monitoring
Track up to five different symbols simultaneously.
Customize the list of symbols based on your trading portfolio.
2. Volume Analysis
Compare current candle volume against the average volume over a specified period.
Calculate and display the percentage increase in volume.
3. RealTime Alerts
Set a volume increase multiplier (e.g., 1.5x) to trigger alerts.
Receive alerts via email, popup, or SMS when conditions are met.
4. UserFriendly Table Display
View symbols, their current volume, and percentage increase in a clear, concise table.
Colorcoded indicators highlight significant volume changes.
5. Customizable Parameters
Adjust the average volume period to suit different trading strategies.
Set your preferred volume increase multiplier for alerts.
How It Works
1. User Inputs:
Symbols Selection: Choose up to five symbols you wish to monitor.
Average Volume Period: Define the number of bars over which the average volume is calculated (default is 20).
Volume Increase Multiplier: Set the threshold for volume increase to trigger alerts (default is 1.5x).
2. Volume Calculation:
The screener fetches the current volume and calculates the simple moving average (SMA) of volume over the defined period for each symbol.
It then determines if the current volume exceeds the average volume by the specified multiplier.
3. Data Display:
A table is generated on the chart displaying each symbol, its current volume, and the percentage increase.
Green text indicates that the volume increase condition has been met.
4. Alert Generation:
When a symbol's current volume surpasses the average volume by the set multiplier, an alert is triggered.
Alerts are customizable and can be set to notify you through various channels.
Benefits
Enhanced DecisionMaking: Quickly identify highvolume trading opportunities across multiple assets.
Time Efficiency: Monitor several symbols without the need to switch between charts.
Proactive Trading: Stay informed with realtime alerts, allowing for timely trading actions.
Customization: Tailor the screener settings to align with your unique trading strategies and preferences.
Setup Instructions
1. Add the Screener to TradingView:
Navigate to TradingView and open the Pine Editor.
Add the MultiSymbol Volume Increase Screener indicator to your chart.
Save and apply the indicator.
2. Configure User Inputs:
Select up to five symbols you wish to monitor in the input fields "Symbol 1" to "Symbol 5".
Adjust the "Average Volume Period" and "Volume Increase Multiplier" as needed.
3. Set Up Alerts:
Click on the Alarm icon (🔔) in the TradingView toolbar.
In the "Condition" dropdown, select the "MultiSymbol Volume Increase Screener".
Choose the specific alert condition for each symbol (e.g., "Volume Increase Alert for Symbol 1").
Configure the alert actions (e.g., email, popup, SMS) and click "Create".
Repeat this process for each symbol you wish to monitor.
Visual Demonstration
Table Display Example:
| Symbol | Volume | % Increase |
| AAPL | 150,000 | 50.00% |
| MSFT | 120,000 | 20.00% |
| GOOGL | 180,000 | 80.00% |
| AMZN | 130,000 | 30.00% |
| TSLA | 160,000 | 60.00% |
Green Text: Indicates that the volume increase condition has been met for that symbol.
Alert Notification Example:
```
🚀 Symbol 1 shows a volume increase!
```
Note: Replace "Symbol 1" with the actual symbol as per your configuration.
Customization Options
Increase the Number of Symbols:
While the current screener monitors five symbols, it can be extended to monitor more by adding additional input fields and corresponding calculations. However, be mindful of TradingView's Pine Script limitations and potential performance impacts.
Adjust Volume Period and Multiplier:
Tailor the "Average Volume Period" and "Volume Increase Multiplier" to align with your specific trading strategies and market conditions.
Enhance Table Information:
Incorporate additional data points such as current price, price change percentage, or other technical indicators to enrich your analysis.
Benefits of Using the Screener
Efficiency: Saves time by providing a consolidated view of multiple symbols' volume activity.
Proactive Trading: Enables you to act swiftly on significant volume movements, which often precede price changes.
DataDriven Decisions: Facilitates informed trading decisions based on realtime volume analysis.
Customization: Offers flexibility to adapt the screener to various trading styles and preferences.
Conclusion
The MultiSymbol Volume Increase Screener is an invaluable tool for traders looking to capitalize on significant volume movements across multiple assets. Developed at the request of jscott143, this screener integrates seamlessly with TradingView, providing realtime insights and alerts to enhance your trading strategy.
Q&A
Feel free to ask any questions or request further customization to better suit your trading needs.
Contact Information
Created for: jscott143
Thank you for your attention!
Entropy Indicator [CHE]Entropy in Technical Analysis Using TradingView
Slide 1: Title
Entropy in Technical Analysis Using TradingView
Introduction to the concept of entropy
Application in technical analysis
Understanding the use of entropy as a market indicator
Slide 2: What is Entropy?
Definition and Origins:
Entropy originates from thermodynamics and information theory.
In thermodynamics, entropy describes the degree of disorder or randomness in a system.
In information theory, entropy quantifies the uncertainty or unpredictability of information content.
Mathematical Definition:
Entropy measures the unpredictability of a system.
The basic idea: Higher entropy means more randomness; lower entropy indicates more predictability.
Formula: Entropy is calculated using the probabilities of different outcomes, based on how frequently certain price levels are reached.
Slide 3: Entropy in Financial Markets
Why Entropy Matters:
Market Uncertainty: Entropy can measure the level of uncertainty or randomness in financial markets.
Volatility Indicator: High entropy may indicate a volatile, unpredictable market, while low entropy suggests a stable, predictable market.
Applications in Trading:
Trend Analysis: Identifying periods of high entropy can help detect potential trend reversals or periods of market consolidation.
Risk Management: Using entropy to adjust trading strategies based on the perceived level of market uncertainty.
Slide 4: How Entropy is Calculated in Trading
Step-by-Step Process:
Data Collection:
The first step is to gather the relevant price data over a specific period, such as 200 closing prices. This data forms the basis of the entropy calculation, representing the market's recent behavior.
Defining Bins:
The price range within the collected data is divided into a fixed number of bins or intervals. These bins represent different price levels. For instance, if you choose 5 bins, the price range will be split into 5 equal segments.
Assigning Data to Bins:
The next step is to assign each price within the data to one of these bins. This step helps in understanding how frequently the price falls within specific ranges, indicating the distribution of prices over the period.
Calculating Probabilities:
After assigning the data to bins, calculate the probability for each bin by dividing the number of data points in each bin by the total number of data points. These probabilities reflect how often prices fall into each range.
Computing Entropy:
Entropy is then calculated based on the distribution of these probabilities. The formula involves summing the products of each probability and the logarithm of that probability. This calculation tells us how evenly the prices are distributed across the bins.
Interpretation for Traders:
High entropy indicates that the prices are spread evenly across the bins, suggesting a highly random and uncertain market. Low entropy, on the other hand, shows that prices are concentrated in fewer bins, indicating more predictable and stable market conditions.
Slide 5: Implementing and Using Entropy in TradingView
How It Works in TradingView:
Data Period: Typically, entropy is calculated over a specific number of bars (e.g., 200), representing recent market activity. The longer the period, the broader the market behavior considered.
Bin Division: The price range during this period is divided into a set number of bins. These bins help to categorize price levels and assess how spread out the market’s activity is.
Entropy Calculation: The indicator evaluates the spread of prices across these bins to determine the level of market disorder. This is visualized on the chart as an entropy line, helping traders to see fluctuations in market uncertainty.
Practical Application:
As a trader, you can use the entropy indicator to gauge when the market is in a state of high uncertainty (high entropy) or low uncertainty (low entropy). This insight can inform decisions on when to take riskier trades or when to stay conservative.
Slide 6: Interpreting the Entropy Indicator
High Entropy:
Characteristics:
Indicates a high level of market disorder, where price movements are more random and less predictable.
Suggests volatile or unpredictable market conditions.
Implications for Traders:
During periods of high entropy, traders might need to exercise greater caution, reduce position sizes, or employ more defensive trading strategies.
High entropy could signal potential trend reversals or significant market movements, making it a critical period to watch closely.
Low Entropy:
Characteristics:
Suggests that the market is more predictable, with prices showing less variation and more consistent trends.
Typically associated with trending markets where price movement is more orderly.
Implications for Traders:
In a low entropy environment, traders might favor trend-following strategies, as the market shows clearer directional movement.
Low entropy can also suggest more reliable trading opportunities, where the risk of sudden, unpredictable price swings is reduced.
Slide 7: Use Cases and Strategy Integration
Practical Use Cases:
Trend Reversals: Use entropy to identify potential points where a market may shift from trending to consolidating, or vice versa. A sudden increase in entropy might indicate the end of a stable trend and the start of a more volatile period.
Volatility Detection: Detect periods of increased market volatility by observing spikes in entropy. These periods can be critical for adjusting your trading strategy, either by scaling back or by taking advantage of the increased movement.
Strategy Integration:
Risk Management: Incorporate entropy into your risk management strategy by adjusting position sizes, leverage, or stop-loss levels based on the current entropy reading. In high entropy conditions, it might be wise to take smaller, more conservative positions.
Combining Indicators: Entropy can be effectively combined with other indicators, such as moving averages or RSI, to provide a more comprehensive view of market conditions. For example, using entropy alongside a trend indicator can help confirm whether a trend is strong and likely to continue, or if it's weakening and at risk of reversal.
Slide 8: Advantages and Limitations of Entropy
Advantages:
Unique Perspective: Entropy offers a unique way to measure market uncertainty that complements traditional volatility measures. It provides traders with insights into the randomness and predictability of price movements, which can be crucial for strategic decision-making.
Dynamic Analysis: Entropy adapts to changes in market conditions, offering real-time insights into the level of market disorder. This makes it a valuable tool for traders who need to stay responsive to the market's evolving dynamics.
Limitations:
Complex Interpretation: Unlike more straightforward indicators, entropy requires a deeper understanding to interpret correctly. Traders need to be familiar with how entropy levels relate to market behavior and what actions to take in response.
Sensitivity to Parameters: The results can vary significantly depending on the number of bins and the data period chosen, requiring careful parameter selection. Traders may need to experiment with different settings to find the most informative configuration for their specific market or trading style.
Slide 9: Conclusion
Key Takeaways:
Entropy as a Tool: Provides a unique perspective on market dynamics by measuring unpredictability. This can help traders better understand the nature of market conditions and tailor their strategies accordingly.
Practical Application: Can enhance trading strategies, particularly in volatile markets, by helping to identify periods of high uncertainty and adjusting risk management practices.
Further Exploration: Experimenting with different bin sizes and periods can help fine-tune the entropy indicator for specific markets and trading strategies. Traders are encouraged to combine entropy with other indicators to build a more robust trading framework.
Final Thoughts:
Entropy is a powerful concept that, when applied correctly, can offer valuable insights into market behavior. It should be used in conjunction with other tools and indicators to make informed trading decisions, particularly in markets where unpredictability plays a significant role.
This presentation provides a comprehensive overview of entropy, its significance in financial markets, and how it can be practically applied as an indicator in TradingView. The focus is on how traders can use entropy to enhance their trading strategies and improve their understanding of market conditions.
Best regards
Chervolino
MarkdownUtilsLibrary "MarkdownUtils"
This library shows all of CommonMark's formatting elements that are currently (2024-03-30)
available in Pine Script® and gives some hints on how to use them.
The documentation will be in the tooltip of each of the following functions. It is also
logged into Pine Logs by default if it is called. We can disable the logging by setting `pLog = false`.
mediumMathematicalSpace()
Medium mathematical space that can be used in e.g. the library names like `Markdown Utils`.
Returns: The medium mathematical space character U+205F between those double quotes " ".
zeroWidthSpace()
Zero-width space.
Returns: The zero-width character U+200B between those double quotes "".
stableSpace(pCount)
Consecutive space characters in Pine Script® are replaced by a single space character on output.
Therefore we require a "stable" space to properly indent text e.g. in Pine Logs. To use it in code blocks
of a description like this one, we have to copy the 2(!) characters between the following reverse brackets instead:
# > <
Those are the zero-width character U+200B and a space.
Of course, this can also be used within a text to add some extra spaces.
Parameters:
pCount (simple int)
Returns: A zero-width space combined with a space character.
headers(pLog)
Headers
```
# H1
## H2
### H3
#### H4
##### H5
###### H6
```
*results in*
# H1
## H2
### H3
#### H4
##### H5
###### H6
*Best practices*: Add blank line before and after each header.
Parameters:
pLog (bool)
paragrahps(pLog)
Paragraphs
```
First paragraph
Second paragraph
```
*results in*
First paragraph
Second paragraph
Parameters:
pLog (bool)
lineBreaks(pLog)
Line breaks
```
First row
Second row
```
*results in*
First row\
Second row
Parameters:
pLog (bool)
emphasis(pLog)
Emphasis
With surrounding `*` and `~` we can emphasize text as follows. All emphasis can be arbitrarily combined.
```
*Italics*, **Bold**, ***Bold italics***, ~~Scratch~~
```
*results in*
*Italics*, **Bold**, ***Bold italics***, ~~Scratch~~
Parameters:
pLog (bool)
blockquotes(pLog)
Blockquotes
Lines starting with at least one `>` followed by a space and text build block quotes.
```
Text before blockquotes.
> 1st main blockquote
>
> 1st main blockquote
>
>> 1st 1-nested blockquote
>
>>> 1st 2-nested blockquote
>
>>>> 1st 3-nested blockquote
>
>>>>> 1st 4-nested blockquote
>
>>>>>> 1st 5-nested blockquote
>
>>>>>>> 1st 6-nested blockquote
>
>>>>>>>> 1st 7-nested blockquote
>
> 2nd main blockquote, 1st paragraph, 1st row\
> 2nd main blockquote, 1st paragraph, 2nd row
>
> 2nd main blockquote, 2nd paragraph, 1st row\
> 2nd main blockquote, 2nd paragraph, 2nd row
>
>> 2nd nested blockquote, 1st paragraph, 1st row\
>> 2nd nested blockquote, 1st paragraph, 2nd row
>
>> 2nd nested blockquote, 2nd paragraph, 1st row\
>> 2nd nested blockquote, 2nd paragraph, 2nd row
Text after blockquotes.
```
*results in*
Text before blockquotes.
> 1st main blockquote
>
>> 1st 1-nested blockquote
>
>>> 1st 2-nested blockquote
>
>>>> 1st 3-nested blockquote
>
>>>>> 1st 4-nested blockquote
>
>>>>>> 1st 5-nested blockquote
>
>>>>>>> 1st 6-nested blockquote
>
>>>>>>>> 1st 7-nested blockquote
>
> 2nd main blockquote, 1st paragraph, 1st row\
> 2nd main blockquote, 1st paragraph, 2nd row
>
> 2nd main blockquote, 2nd paragraph, 1st row\
> 2nd main blockquote, 2nd paragraph, 2nd row
>
>> 2nd nested blockquote, 1st paragraph, 1st row\
>> 2nd nested blockquote, 1st paragraph, 2nd row
>
>> 2nd nested blockquote, 2nd paragraph, 1st row\
>> 2nd nested blockquote, 2nd paragraph, 2nd row
Text after blockquotes.
*Best practices*: Add blank line before and after each (nested) blockquote.
Parameters:
pLog (bool)
lists(pLog)
Paragraphs
#### Ordered lists
The first line starting with a number combined with a delimiter `.` or `)` starts an ordered
list. The list's numbering starts with the given number. All following lines that also start
with whatever number and the same delimiter add items to the list.
#### Unordered lists
A line starting with a `-`, `*` or `+` becomes an unordered list item. All consecutive items with
the same start symbol build a separate list. Therefore every list can only have a single symbol.
#### General information
To start a new list either use the other delimiter or add some non-list text between.
List items in Pine Script® allow line breaks but cannot have paragraphs or blockquotes.
Lists Pine Script® cannot be nested.
```
1) 1st list, 1st item, 1st row\
1st list, 1st item, 2nd row
1) 1st list, 2nd item, 1st row\
1st list, 2nd item, 2nd row
1) 1st list, 2nd item, 1st row\
1st list, 2nd item, 2nd row
1. 2nd list, 1st item, 1st row\
2nd list, 1st item, 2nd row
Intermediary text.
1. 3rd list
Intermediary text (sorry, unfortunately without proper spacing).
8. 4th list, 8th item
8. 4th list, 9th item
Intermediary text.
- 1st list, 1st item
- 1st list, 2nd item
* 2nd list, 1st item
* 2nd list, 2nd item
Intermediary text.
+ 3rd list, 1st item
+ 3rd list, 2nd item
```
*results in*
1) 1st list, 1st item, 1st row\
1st list, 1st item, 2nd row
1) 1st list, 2nd item, 1st row\
1st list, 2nd item, 2nd row
1) 1st list, 2nd item, 1st row\
1st list, 2nd item, 2nd row
1. 2nd list, 1st item, 1st row\
2nd list, 1st item, 2nd row
Intermediary text.
1. 3rd list
Intermediary text (sorry, unfortunately without proper spacing).
8. 4th list, 8th item
8. 4th list, 9th item
Intermediary text.
- 1st list, 1st item
- 1st list, 2nd item
* 2nd list, 1st item
* 2nd list, 2nd item
Intermediary text.
+ 3rd list, 1st item
+ 3rd list, 2nd item
Parameters:
pLog (bool)
code(pLog)
### Code
`` `Inline code` `` is formatted like this.
To write above line we wrote `` `` `Inline code` `` ``.
And to write that line we added another pair of `` `` `` around that code and
a zero-width space of function between the inner `` `` ``.
### Code blocks
can be formatted like that:
~~~
```
export method codeBlock() =>
"code block"
```
~~~
Or like that:
```
~~~
export method codeBlock() =>
"code block"
~~~
```
To write ````` within a code block we can either surround it with `~~~`.
Or we "escape" those ````` by only the zero-width space of function (stableSpace) in between.
To escape \` within a text we use `` \` ``.
Parameters:
pLog (bool)
horizontalRules(pLog)
Horizontal rules
At least three connected `*`, `-` or `_` in a separate line build a horizontal rule.
```
Intermediary text.
---
Intermediary text.
***
Intermediary text.
___
Intermediary text.
```
*results in*
Intermediary text.
---
Intermediary text.
***
Intermediary text.
___
Intermediary text.
*Best practices*: Add blank line before and after each horizontal rule.
Parameters:
pLog (bool)
tables(pLog)
Tables
A table consists of a single header line with columns separated by `|`
and followed by a row of alignment indicators for either left (`---`, `:---`), centered (`:---:`) and right (`---:`)
A table can contain several rows of data.
The table can be written as follows but hasn't to be formatte like that. By adding (stableSpace)
on the correct side of the header we could even adjust the spacing if we don't like it as it is. Only around
the column separator we should only use a usual space on each side.
```
Header 1 | Header 1 | Header 2 | Header 3
--- | :--- | :----: | ---:
Left (Default) | Left | Centered | Right
Left (Default) | Left | Centered | Right
```
*results in*
Header 1 | Header 1 | Header 2 | Header 3
--- | :--- | :----: | ---:
Left (Default) | Left | Centered | Right
Left (Default) | Left | Centered | Right
Parameters:
pLog (bool)
links(pLog)
## Links.
### Inline-style
` (Here should be the link to the TradingView homepage)`\
results in (Here should be the link to the TradingView homepage)
` (Here should be the link to the TradingView homepage "Trading View tooltip")`\
results in (Here should be the link to the TradingView homepage "Trading View tooltip")
### Reference-style
One can also collect all links e.g. at the end of a description and use a reference to that as follows.
` `\
results in .
` `\
results in .
` `\
results in .
` (../tradingview/scripts/readme)`\
results in (../tradingview/scripts/readme).
### URLs and email
URLs are also identified by the protocol identifier, email addresses by `@`. They can also be surrounded by `<` and `>`.
Input | Result
--- | ---
`Here should be the link to the TradingView homepage` | Here should be the link to the TradingView homepage
`` |
`support@tradingview.com` | support@tradingview.com
`` |
## Images
We can display gif, jp(e)g and png files in our documentation, if we add `!` before a link.
### Inline-style:
`! (Here should be the link to the favicon of the TradingView homepage "Trading View icon")`
results in
! (Here should be the link to the favicon of the TradingView homepage "Trading View icon")\
### Reference-style:
`! `
results in
!
## References for reference-style links
Even though only the formatted references are visible here in the output, this text is also followed
by the following references with links in the style
` : Referenced link`
```
: Here should be the link to the TradingView homepage "Trading view text-reference tooltip"
: Here should be the link to the TradingView homepage "Trading view number-reference tooltip"
: Here should be the link to the TradingView homepage "Trading view self-reference tooltip"
: Here should be the link to the favicon of the TradingView homepage "Trading View icon (reference)"
```
: Here should be the link to the TradingView homepage "Trading view text-reference tooltip"
: Here should be the link to the TradingView homepage "Trading view number-reference tooltip"
: Here should be the link to the TradingView homepage "Trading view self-reference tooltip"
: Here should be the link to the favicon of the TradingView homepage "Trading View icon (reference)"
Parameters:
pLog (bool)
taskLists(pLog)
Task lists.
Other Markdown implementations can also display task lists for list items like `- ` respective `- `.
This can only be simulated by inline code `` ´ ` ``.
Make sure to either add a line-break `\` at the end of the line or a new paragraph by a blank line.
### Task lists
` ` Finish library
` ` Finish library
Parameters:
pLog (bool)
escapeMd(pLog)
Escaping Markdown syntax
To write and display Markdown syntax in regular text, we have to escape it. This can be done
by adding `\` before the Markdown syntax. If the Markdown syntax consists of more than one character
in some cases also the character of function can be helpful if a command consists of
more than one character if it is placed between the separate characters of the command.
Parameters:
pLog (bool)
test()
Calls all functions of above script.
Supertrend Advance Pullback StrategyHandbook for the Supertrend Advance Strategy
1. Introduction
Purpose of the Handbook:
The main purpose of this handbook is to serve as a comprehensive guide for traders and investors who are looking to explore and harness the potential of the Supertrend Advance Strategy. In the rapidly changing financial market, having the right tools and strategies at one's disposal is crucial. Whether you're a beginner hoping to dive into the world of trading or a seasoned investor aiming to optimize and diversify your portfolio, this handbook offers the insights and methodologies you need. By the end of this guide, readers should have a clear understanding of how the Supertrend Advance Strategy works, its benefits, potential pitfalls, and practical application in various trading scenarios.
Overview of the Supertrend Advance Pullback Strategy:
At its core, the Supertrend Advance Strategy is an evolution of the popular Supertrend Indicator. Designed to generate buy and sell signals in trending markets, the Supertrend Indicator has been a favorite tool for many traders around the world. The Advance Strategy, however, builds upon this foundation by introducing enhanced mechanisms, filters, and methodologies to increase precision and reduce false signals.
1. Basic Concept:
The Supertrend Advance Strategy relies on a combination of price action and volatility to determine the potential trend direction. By assessing the average true range (ATR) in conjunction with specific price points, this strategy aims to highlight the potential starting and ending points of market trends.
2. Methodology:
Unlike the traditional Supertrend Indicator, which primarily focuses on closing prices and ATR, the Advance Strategy integrates other critical market variables, such as volume, momentum oscillators, and perhaps even fundamental data, to validate its signals. This multidimensional approach ensures that the generated signals are more reliable and are less prone to market noise.
3. Benefits:
One of the main benefits of the Supertrend Advance Strategy is its ability to filter out false breakouts and minor price fluctuations, which can often lead to premature exits or entries in the market. By waiting for a confluence of factors to align, traders using this advanced strategy can increase their chances of entering or exiting trades at optimal points.
4. Practical Applications:
The Supertrend Advance Strategy can be applied across various timeframes, from intraday trading to swing trading and even long-term investment scenarios. Furthermore, its flexible nature allows it to be tailored to different asset classes, be it stocks, commodities, forex, or cryptocurrencies.
In the subsequent sections of this handbook, we will delve deeper into the intricacies of this strategy, offering step-by-step guidelines on its application, case studies, and tips for maximizing its efficacy in the volatile world of trading.
As you journey through this handbook, we encourage you to approach the Supertrend Advance Strategy with an open mind, testing and tweaking it as per your personal trading style and risk appetite. The ultimate goal is not just to provide you with a new tool but to empower you with a holistic strategy that can enhance your trading endeavors.
2. Getting Started
Navigating the financial markets can be a daunting task without the right tools. This section is dedicated to helping you set up the Supertrend Advance Strategy on one of the most popular charting platforms, TradingView. By following the steps below, you'll be able to integrate this strategy into your charts and start leveraging its insights in no time.
Setting up on TradingView:
TradingView is a web-based platform that offers a wide range of charting tools, social networking, and market data. Before you can apply the Supertrend Advance Strategy, you'll first need a TradingView account. If you haven't set one up yet, here's how:
1. Account Creation:
• Visit TradingView's official website.
• Click on the "Join for free" or "Sign up" button.
• Follow the registration process, providing the necessary details and setting up your login credentials.
2. Navigating the Dashboard:
• Once logged in, you'll be taken to your dashboard. Here, you'll see a variety of tools, including watchlists, alerts, and the main charting window.
• To begin charting, type in the name or ticker of the asset you're interested in the search bar at the top.
3. Configuring Chart Settings:
• Before integrating the Supertrend Advance Strategy, familiarize yourself with the chart settings. This can be accessed by clicking the 'gear' icon on the top right of the chart window.
• Adjust the chart type, time intervals, and other display settings to your preference.
Integrating the Strategy into a Chart:
Now that you're set up on TradingView, it's time to integrate the Supertrend Advance Strategy.
1. Accessing the Pine Script Editor:
• Located at the top-center of your screen, you'll find the "Pine Editor" tab. Click on it.
• This is where custom strategies and indicators are scripted or imported.
2. Loading the Supertrend Advance Strategy Script:
• Depending on whether you have the script or need to find it, there are two paths:
• If you have the script: Copy the Supertrend Advance Strategy script, and then paste it into the Pine Editor.
• If searching for the script: Click on the “Indicators” icon (looks like a flame) at the top of your screen, and then type “Supertrend Advance Strategy” in the search bar. If available, it will show up in the list. Simply click to add it to your chart.
3. Applying the Strategy:
• After pasting or selecting the Supertrend Advance Strategy in the Pine Editor, click on the “Add to Chart” button located at the top of the editor. This will overlay the strategy onto your main chart window.
4. Configuring Strategy Settings:
• Once the strategy is on your chart, you'll notice a small settings ('gear') icon next to its name in the top-left of the chart window. Click on this to access settings.
• Here, you can adjust various parameters of the Supertrend Advance Strategy to better fit your trading style or the specific asset you're analyzing.
5. Interpreting Signals:
• With the strategy applied, you'll now see buy/sell signals represented on your chart. Take time to familiarize yourself with how these look and behave over various timeframes and market conditions.
3. Strategy Overview
What is the Supertrend Advance Strategy?
The Supertrend Advance Strategy is a refined version of the classic Supertrend Indicator, which was developed to aid traders in spotting market trends. The strategy utilizes a combination of data points, including average true range (ATR) and price momentum, to generate buy and sell signals.
In essence, the Supertrend Advance Strategy can be visualized as a line that moves with the price. When the price is above the Supertrend line, it indicates an uptrend and suggests a potential buy position. Conversely, when the price is below the Supertrend line, it hints at a downtrend, suggesting a potential selling point.
Strategy Goals and Objectives:
1. Trend Identification: At the core of the Supertrend Advance Strategy is the goal to efficiently and consistently identify prevailing market trends. By recognizing these trends, traders can position themselves to capitalize on price movements in their favor.
2. Reducing Noise: Financial markets are often inundated with 'noise' - short-term price fluctuations that can mislead traders. The Supertrend Advance Strategy aims to filter out this noise, allowing for clearer decision-making.
3. Enhancing Risk Management: With clear buy and sell signals, traders can set more precise stop-loss and take-profit points. This leads to better risk management and potentially improved profitability.
4. Versatility: While primarily used for trend identification, the strategy can be integrated with other technical tools and indicators to create a comprehensive trading system.
Type of Assets/Markets to Apply the Strategy:
1. Equities: The Supertrend Advance Strategy is highly popular among stock traders. Its ability to capture long-term trends makes it particularly useful for those trading individual stocks or equity indices.
2. Forex: Given the 24-hour nature of the Forex market and its propensity for trends, the Supertrend Advance Strategy is a valuable tool for currency traders.
3. Commodities: Whether it's gold, oil, or agricultural products, commodities often move in extended trends. The strategy can help in identifying and capitalizing on these movements.
4. Cryptocurrencies: The volatile nature of cryptocurrencies means they can have pronounced trends. The Supertrend Advance Strategy can aid crypto traders in navigating these often tumultuous waters.
5. Futures & Options: Traders and investors in derivative markets can utilize the strategy to make more informed decisions about contract entries and exits.
It's important to note that while the Supertrend Advance Strategy can be applied across various assets and markets, its effectiveness might vary based on market conditions, timeframe, and the specific characteristics of the asset in question. As always, it's recommended to use the strategy in conjunction with other analytical tools and to backtest its effectiveness in specific scenarios before committing to trades.
4. Input Settings
Understanding and correctly configuring input settings is crucial for optimizing the Supertrend Advance Strategy for any specific market or asset. These settings, when tweaked correctly, can drastically impact the strategy's performance.
Grouping Inputs:
Before diving into individual input settings, it's important to group similar inputs. Grouping can simplify the user interface, making it easier to adjust settings related to a specific function or indicator.
Strategy Choice:
This input allows traders to select from various strategies that incorporate the Supertrend indicator. Options might include "Supertrend with RSI," "Supertrend with MACD," etc. By choosing a strategy, the associated input settings for that strategy become available.
Supertrend Settings:
1. Multiplier: Typically, a default value of 3 is used. This multiplier is used in the ATR calculation. Increasing it makes the Supertrend line further from prices, while decreasing it brings the line closer.
2. Period: The number of bars used in the ATR calculation. A common default is 7.
EMA Settings (Exponential Moving Average):
1. Period: Defines the number of previous bars used to calculate the EMA. Common periods are 9, 21, 50, and 200.
2. Source: Allows traders to choose which price (Open, Close, High, Low) to use in the EMA calculation.
RSI Settings (Relative Strength Index):
1. Length: Determines how many periods are used for RSI calculation. The standard setting is 14.
2. Overbought Level: The threshold at which the asset is considered overbought, typically set at 70.
3. Oversold Level: The threshold at which the asset is considered oversold, often at 30.
MACD Settings (Moving Average Convergence Divergence):
1. Short Period: The shorter EMA, usually set to 12.
2. Long Period: The longer EMA, commonly set to 26.
3. Signal Period: Defines the EMA of the MACD line, typically set at 9.
CCI Settings (Commodity Channel Index):
1. Period: The number of bars used in the CCI calculation, often set to 20.
2. Overbought Level: Typically set at +100, denoting overbought conditions.
3. Oversold Level: Usually set at -100, indicating oversold conditions.
SL/TP Settings (Stop Loss/Take Profit):
1. SL Multiplier: Defines the multiplier for the average true range (ATR) to set the stop loss.
2. TP Multiplier: Defines the multiplier for the average true range (ATR) to set the take profit.
Filtering Conditions:
This section allows traders to set conditions to filter out certain signals. For example, one might only want to take buy signals when the RSI is below 30, ensuring they buy during oversold conditions.
Trade Direction and Backtest Period:
1. Trade Direction: Allows traders to specify whether they want to take long trades, short trades, or both.
2. Backtest Period: Specifies the time range for backtesting the strategy. Traders can choose from options like 'Last 6 months,' 'Last 1 year,' etc.
It's essential to remember that while default settings are provided for many of these tools, optimal settings can vary based on the market, timeframe, and trading style. Always backtest new settings on historical data to gauge their potential efficacy.
5. Understanding Strategy Conditions
Developing an understanding of the conditions set within a trading strategy is essential for traders to maximize its potential. Here, we delve deep into the logic behind these conditions, using the Supertrend Advance Strategy as our focal point.
Basic Logic Behind Conditions:
Every strategy is built around a set of conditions that provide buy or sell signals. The conditions are based on mathematical or statistical methods and are rooted in the study of historical price data. The fundamental idea is to recognize patterns or behaviors that have been profitable in the past and might be profitable in the future.
Buy and Sell Conditions:
1. Buy Conditions: Usually formulated around bullish signals or indicators suggesting upward price momentum.
2. Sell Conditions: Centered on bearish signals or indicators indicating downward price momentum.
Simple Strategy:
The simple strategy could involve using just the Supertrend indicator. Here:
• Buy: When price closes above the Supertrend line.
• Sell: When price closes below the Supertrend line.
Pullback Strategy:
This strategy capitalizes on price retracements:
• Buy: When the price retraces to the Supertrend line after a bullish signal and is supported by another bullish indicator.
• Sell: When the price retraces to the Supertrend line after a bearish signal and is confirmed by another bearish indicator.
Indicators Used:
EMA (Exponential Moving Average):
• Logic: EMA gives more weight to recent prices, making it more responsive to current price movements. A shorter-period EMA crossing above a longer-period EMA can be a bullish sign, while the opposite is bearish.
RSI (Relative Strength Index):
• Logic: RSI measures the magnitude of recent price changes to analyze overbought or oversold conditions. Values above 70 are typically considered overbought, and values below 30 are considered oversold.
MACD (Moving Average Convergence Divergence):
• Logic: MACD assesses the relationship between two EMAs of a security’s price. The MACD line crossing above the signal line can be a bullish signal, while crossing below can be bearish.
CCI (Commodity Channel Index):
• Logic: CCI compares a security's average price change with its average price variation. A CCI value above +100 may mean the price is overbought, while below -100 might signify an oversold condition.
And others...
As the strategy expands or contracts, more indicators might be added or removed. The crucial point is to understand the core logic behind each, ensuring they align with the strategy's objectives.
Logic Behind Each Indicator:
1. EMA: Emphasizes recent price movements; provides dynamic support and resistance levels.
2. RSI: Indicates overbought and oversold conditions based on recent price changes.
3. MACD: Showcases momentum and direction of a trend by comparing two EMAs.
4. CCI: Measures the difference between a security's price change and its average price change.
Understanding strategy conditions is not just about knowing when to buy or sell but also about comprehending the underlying market dynamics that those conditions represent. As you familiarize yourself with each condition and indicator, you'll be better prepared to adapt and evolve with the ever-changing financial markets.
6. Trade Execution and Management
Trade execution and management are crucial aspects of any trading strategy. Efficient execution can significantly impact profitability, while effective management can preserve capital during adverse market conditions. In this section, we'll explore the nuances of position entry, exit strategies, and various Stop Loss (SL) and Take Profit (TP) methodologies within the Supertrend Advance Strategy.
Position Entry:
Effective trade entry revolves around:
1. Timing: Enter at a point where the risk-reward ratio is favorable. This often corresponds to confirmatory signals from multiple indicators.
2. Volume Analysis: Ensure there's adequate volume to support the movement. Volume can validate the strength of a signal.
3. Confirmation: Use multiple indicators or chart patterns to confirm the entry point. For instance, a buy signal from the Supertrend indicator can be confirmed with a bullish MACD crossover.
Position Exit Strategies:
A successful exit strategy will lock in profits and minimize losses. Here are some strategies:
1. Fixed Time Exit: Exiting after a predetermined period.
2. Percentage-based Profit Target: Exiting after a certain percentage gain.
3. Indicator-based Exit: Exiting when an indicator gives an opposing signal.
Percentage-based SL/TP:
• Stop Loss (SL): Set a fixed percentage below the entry price to limit potential losses.
• Example: A 2% SL on an entry at $100 would trigger a sell at $98.
• Take Profit (TP): Set a fixed percentage above the entry price to lock in gains.
• Example: A 5% TP on an entry at $100 would trigger a sell at $105.
Supertrend-based SL/TP:
• Stop Loss (SL): Position the SL at the Supertrend line. If the price breaches this line, it could indicate a trend reversal.
• Take Profit (TP): One could set the TP at a point where the Supertrend line flattens or turns, indicating a possible slowdown in momentum.
Swing high/low-based SL/TP:
• Stop Loss (SL): For a long position, set the SL just below the recent swing low. For a short position, set it just above the recent swing high.
• Take Profit (TP): For a long position, set the TP near a recent swing high or resistance. For a short position, near a swing low or support.
And other methods...
1. Trailing Stop Loss: This dynamic SL adjusts with the price movement, locking in profits as the trade moves in your favor.
2. Multiple Take Profits: Divide the position into segments and set multiple TP levels, securing profits in stages.
3. Opposite Signal Exit: Exit when another reliable indicator gives an opposite signal.
Trade execution and management are as much an art as they are a science. They require a blend of analytical skill, discipline, and intuition. Regularly reviewing and refining your strategies, especially in light of changing market conditions, is crucial to maintaining consistent trading performance.
7. Visual Representations
Visual tools are essential for traders, as they simplify complex data into an easily interpretable format. Properly analyzing and understanding the plots on a chart can provide actionable insights and a more intuitive grasp of market conditions. In this section, we’ll delve into various visual representations used in the Supertrend Advance Strategy and their significance.
Understanding Plots on the Chart:
Charts are the primary visual aids for traders. The arrangement of data points, lines, and colors on them tell a story about the market's past, present, and potential future moves.
1. Data Points: These represent individual price actions over a specific timeframe. For instance, a daily chart will have data points showing the opening, closing, high, and low prices for each day.
2. Colors: Used to indicate the nature of price movement. Commonly, green is used for bullish (upward) moves and red for bearish (downward) moves.
Trend Lines:
Trend lines are straight lines drawn on a chart that connect a series of price points. Their significance:
1. Uptrend Line: Drawn along the lows, representing support. A break below might indicate a trend reversal.
2. Downtrend Line: Drawn along the highs, indicating resistance. A break above might suggest the start of a bullish trend.
Filled Areas:
These represent a range between two values on a chart, usually shaded or colored. For instance:
1. Bollinger Bands: The area between the upper and lower band is filled, giving a visual representation of volatility.
2. Volume Profile: Can show a filled area representing the amount of trading activity at different price levels.
Stop Loss and Take Profit Lines:
These are horizontal lines representing pre-determined exit points for trades.
1. Stop Loss Line: Indicates the level at which a trade will be automatically closed to limit losses. Positioned according to the trader's risk tolerance.
2. Take Profit Line: Denotes the target level to lock in profits. Set according to potential resistance (for long trades) or support (for short trades) or other technical factors.
Trailing Stop Lines:
A trailing stop is a dynamic form of stop loss that moves with the price. On a chart:
1. For Long Trades: Starts below the entry price and moves up with the price but remains static if the price falls, ensuring profits are locked in.
2. For Short Trades: Starts above the entry price and moves down with the price but remains static if the price rises.
Visual representations offer traders a clear, organized view of market dynamics. Familiarity with these tools ensures that traders can quickly and accurately interpret chart data, leading to more informed decision-making. Always ensure that the visual aids used resonate with your trading style and strategy for the best results.
8. Backtesting
Backtesting is a fundamental process in strategy development, enabling traders to evaluate the efficacy of their strategy using historical data. It provides a snapshot of how the strategy would have performed in past market conditions, offering insights into its potential strengths and vulnerabilities. In this section, we'll explore the intricacies of setting up and analyzing backtest results and the caveats one must be aware of.
Setting Up Backtest Period:
1. Duration: Determine the timeframe for the backtest. It should be long enough to capture various market conditions (bullish, bearish, sideways). For instance, if you're testing a daily strategy, consider a period of several years.
2. Data Quality: Ensure the data source is reliable, offering high-resolution and clean data. This is vital to get accurate backtest results.
3. Segmentation: Instead of a continuous period, sometimes it's helpful to backtest over distinct market phases, like a particular bear or bull market, to see how the strategy holds up in different environments.
Analyzing Backtest Results:
1. Performance Metrics: Examine metrics like the total return, annualized return, maximum drawdown, Sharpe ratio, and others to gauge the strategy's efficiency.
2. Win Rate: It's the ratio of winning trades to total trades. A high win rate doesn't always signify a good strategy; it should be evaluated in conjunction with other metrics.
3. Risk/Reward: Understand the average profit versus the average loss per trade. A strategy might have a low win rate but still be profitable if the average gain far exceeds the average loss.
4. Drawdown Analysis: Review the periods of losses the strategy could incur and how long it takes, on average, to recover.
9. Tips and Best Practices
Successful trading requires more than just knowing how a strategy works. It necessitates an understanding of when to apply it, how to adjust it to varying market conditions, and the wisdom to recognize and avoid common pitfalls. This section offers insightful tips and best practices to enhance the application of the Supertrend Advance Strategy.
When to Use the Strategy:
1. Market Conditions: Ideally, employ the Supertrend Advance Strategy during trending market conditions. This strategy thrives when there are clear upward or downward trends. It might be less effective during consolidative or sideways markets.
2. News Events: Be cautious around significant news events, as they can cause extreme volatility. It might be wise to avoid trading immediately before and after high-impact news.
3. Liquidity: Ensure you are trading in assets/markets with sufficient liquidity. High liquidity ensures that the price movements are more reflective of genuine market sentiment and not due to thin volume.
Adjusting Settings for Different Markets/Timeframes:
1. Markets: Each market (stocks, forex, commodities) has its own characteristics. It's essential to adjust the strategy's parameters to align with the market's volatility and liquidity.
2. Timeframes: Shorter timeframes (like 1-minute or 5-minute charts) tend to have more noise. You might need to adjust the settings to filter out false signals. Conversely, for longer timeframes (like daily or weekly charts), you might need to be more responsive to genuine trend changes.
3. Customization: Regularly review and tweak the strategy's settings. Periodic adjustments can ensure the strategy remains optimized for the current market conditions.
10. Frequently Asked Questions (FAQs)
Given the complexities and nuances of the Supertrend Advance Strategy, it's only natural for traders, both new and seasoned, to have questions. This section addresses some of the most commonly asked questions regarding the strategy.
1. What exactly is the Supertrend Advance Strategy?
The Supertrend Advance Strategy is an evolved version of the traditional Supertrend indicator. It's designed to provide clearer buy and sell signals by incorporating additional indicators like EMA, RSI, MACD, CCI, etc. The strategy aims to capitalize on market trends while minimizing false signals.
2. Can I use the Supertrend Advance Strategy for all asset types?
Yes, the strategy can be applied to various asset types like stocks, forex, commodities, and cryptocurrencies. However, it's crucial to adjust the settings accordingly to suit the specific characteristics and volatility of each asset type.
3. Is this strategy suitable for day trading?
Absolutely! The Supertrend Advance Strategy can be adjusted to suit various timeframes, making it versatile for both day trading and long-term trading. Remember to fine-tune the settings to align with the timeframe you're trading on.
4. How do I deal with false signals?
No strategy is immune to false signals. However, by combining the Supertrend with other indicators and adhering to strict risk management protocols, you can minimize the impact of false signals. Always use stop-loss orders and consider filtering trades with additional confirmation signals.
5. Do I need any prior trading experience to use this strategy?
While the Supertrend Advance Strategy is designed to be user-friendly, having a foundational understanding of trading and market analysis can greatly enhance your ability to employ the strategy effectively. If you're a beginner, consider pairing the strategy with further education and practice on demo accounts.
6. How often should I review and adjust the strategy settings?
There's no one-size-fits-all answer. Some traders adjust settings weekly, while others might do it monthly. The key is to remain responsive to changing market conditions. Regular backtesting can give insights into potential required adjustments.
7. Can the Supertrend Advance Strategy be automated?
Yes, many traders use algorithmic trading platforms to automate their strategies, including the Supertrend Advance Strategy. However, always monitor automated systems regularly to ensure they're operating as intended.
8. Are there any markets or conditions where the strategy shouldn't be used?
The strategy might generate more false signals in markets that are consolidative or range-bound. During significant news events or times of unexpected high volatility, it's advisable to tread with caution or stay out of the market.
9. How important is backtesting with this strategy?
Backtesting is crucial as it allows traders to understand how the strategy would have performed in the past, offering insights into potential profitability and areas of improvement. Always backtest any new setting or tweak before applying it to live trades.
10. What if the strategy isn't working for me?
No strategy guarantees consistent profits. If it's not working for you, consider reviewing your settings, seeking expert advice, or complementing the Supertrend Advance Strategy with other analysis methods. Remember, continuous learning and adaptation are the keys to trading success.
Other comments
Value of combining several indicators in this script and how they work together
Diversification of Signals: Just as diversifying an investment portfolio can reduce risk, using multiple indicators can offer varied perspectives on potential price movements. Each indicator can capture a different facet of the market, ensuring that traders are not overly reliant on a single data point.
Confirmation & Reduced False Signals: A common challenge with many indicators is the potential for false signals. By requiring confirmation from multiple indicators before acting, the chances of acting on a false signal can be significantly reduced.
Flexibility Across Market Conditions: Different indicators might perform better under different market conditions. For example, while moving averages might excel in trending markets, oscillators like RSI might be more useful during sideways or range-bound conditions. A mashup strategy can potentially adapt better to varying market scenarios.
Comprehensive Analysis: With multiple indicators, traders can gauge trend strength, momentum, volatility, and potential market reversals all at once, providing a holistic view of the market.
How do the different indicators in the Supertrend Advance Strategy work together?
Supertrend: This is primarily a trend-following indicator. It provides traders with buy and sell signals based on the volatility of the price. When combined with other indicators, it can filter out noise and give more weight to strong, confirmed trends.
EMA (Exponential Moving Average): EMA gives more weight to recent price data. It can be used to identify the direction and strength of a trend. When the price is above the EMA, it's generally considered bullish, and vice versa.
RSI (Relative Strength Index): An oscillator that measures the magnitude of recent price changes to evaluate overbought or oversold conditions. By cross-referencing with other indicators like EMA or MACD, traders can spot potential reversals or confirmations of a trend.
MACD (Moving Average Convergence Divergence): This indicator identifies changes in the strength, direction, momentum, and duration of a trend in a stock's price. When the MACD line crosses above the signal line, it can be a bullish sign, and when it crosses below, it can be bearish. Pairing MACD with Supertrend can provide dual confirmation of a trend.
CCI (Commodity Channel Index): Initially developed for commodities, CCI can indicate overbought or oversold conditions. It can be used in conjunction with other indicators to determine entry and exit points.
In essence, the synergy of these indicators provides a balanced, comprehensive approach to trading. Each indicator offers its unique lens into market conditions, and when they align, it can be a powerful indication of a trading opportunity. This combination not only reduces the potential drawbacks of each individual indicator but leverages their strengths, aiming for more consistent and informed trading decisions.
Backtesting and Default Settings
• This indicator has been optimized to be applied for 1 hour-charts. However, the underlying principles of this strategy are supply and demand in the financial markets and the strategy can be applied to all timeframes. Daytraders can use the 1min- or 5min charts, swing-traders can use the daily charts.
• This strategy has been designed to identify the most promising, highest probability entries and trades for each stock or other financial security.
• The combination of the qualifiers results in a highly selective strategy which only considers the most promising swing-trading entries. As a result, you will normally only find a low number of trades for each stock or other financial security per year in case you apply this strategy for the daily charts. Shorter timeframes will result in a higher number of trades / year.
• Consequently, traders need to apply this strategy for a full watchlist rather than just one financial security.
• Default properties: RSI on (length 14, RSI buy level 50, sell level 50), EMA, RSI, MACD on, type of strategy pullback, SL/TP type: ATR (length 10, factor 3), trade direction both, quantity 5, take profit swing hl 5.1, highest / lowest lookback 2, enable ATR trail (ATR length 10, SL ATR multiplier 1.4, TP multiplier 2.1, lookback = 4, trade direction = both).
4C Volume w/ Relative Volume at TimeThis is a Volume indicator that also shows Relative Volume at Time (RVOL).
The RVOL is easily visible as a background color, that changes between Low and High RVOL colors.
The RVOL portion of the indicator is a modified version of the 'Relative Volume At Time' indicator by Tradingview (which has been the best/most accurate RVOL indicator i have seen yet on Tradingview, and seems to closely match the how the "Zanger Volume" indicator works).
Elevated RVOL can be a very important criteria for trading , especially on lower time frames.
This indicator can be used as a simple filter when looking at charts to determine whether it should be traded or not, based on the RVOL.
Higher volume/participation relative to previous time periods can lead to better follow through of moves and price action, and can lead to trending conditions.
Lower RVOL can lead to choppy market conditions, with lower participation and follow through on chart patterns.
The RVOL portion of the indicator draws from the Tradingview 'Relative Volume At Time' indicator developed by authors @e2e4mfck and @LucF , for TradingView.
This indicator takes the Past Volume mark and changes it into a background color.
High RVOL = When the day's cumulative volume is greater than the Past Volume levels, then the background is painted Blue by default
Low RVOL = When the day's cumulative volume is lower than the Past Volume levels, then the background is painted Purple by default
See annotated examples in the chart Below, which compares/contrasts this new indicator with the RVOL indicator by Tradingview:
Portions of the 'Relative Volume At Time' indictor code have been removed to clean up the script.
Plans in the future are to remove more code were possible, to further refine the script and speed up the processing times for the indicator.
If anyone is able to strip out more and keep it functioning the same, please let me know.
Enjoy.
Credit also goes to author @LazyBear . Portions of the Volume indicator is adapted from - HawkEye Volume Indicator
Monthly Strategy Performance TableWhat Is This?
This script code adds a Monthly Strategy Performance Table to your Pine Script strategy scripts so you can see a month-by-month and year-by-year breakdown of your P&L as a percentage of your account balance.
The table is based on realized equity rather than open equity, so it only updates the metrics when a trade is closed.
That's why some numbers will not match the Strategy Tester metrics (such as max drawdown), as the Strategy Tester bases metrics like max drawdown on open trade equity and not realized equity (closed trades).
The script is still a work-in-progress, so make sure to read the disclaimer below. But I think it's ready to release the code for others to play around with.
How To Use It
The script code includes one of my strategies as an example strategy. You need to replace my strategy code with your own. To do that just copy the source code below into a blank script, delete lines 11 -> 60 and paste your strategy code in there instead of mine. The script should work with most systems, but make sure to read the disclaimer below.
It works best with a significant amount of historical data, so it may not work very effectively on intraday timeframes as there is a severe limitation of available bars on TradingView. I recommend using it on 4HR timeframes and above, as anything less will produce very little usable data. Having a premium TradingView plan will also help boost the number of available bars.
You can hover your mouse over a table cell to get more information in the form of tooltips (such as the Long and Short win rate if you hover over your total return cell).
Credit
The code in this script is based on open-source code originally written by QuantNomad, I've made significant changes and additions to the original script but all credit for the idea and especially the display table code goes to them - I just built on top of it:
Why Did I Make This?
None of this is trading or investment advice, just my personal opinion based on my experience as a trader and systems developer these past 6+ years:
The TradingView Strategy Tester is severely limited in some important ways. And unless you use complex Excel formulas on exported test data, you can't see a granular perspective of your system's historical performance.
There is much more to creating profitable and tradeable systems than developing a strategy with a good win rate and a good return with a reasonable drawdown.
Some additional questions we need to ask ourselves are:
What did the system's worst drawdown look like?
How long did it last?
How often do drawdowns occur, and how quickly are they typically recovered?
How often do we have a break-even or losing month or year?
What is our expected compounded annual growth rate, and how does that growth rate compare to our max drawdown?
And many more questions that are too long to list and take a lifetime of trading experience to answer.
Without answering these kinds of questions, we run the risk of developing systems that look good on paper, but when it comes to live trading, we are uncomfortable or incapable of enduring the system's granular characteristics.
This Monthly Performance Table script code is intended to help bridge some of that gap with the Strategy Tester's limited default performance data.
Disclaimer
I've done my best to ensure the numbers this code outputs are accurate, and according to my testing with my personal strategy scripts it appears to work fine. But there is always a good chance I've missed something, or that this code will not work with your particular system.
The majority of my TradingView systems are extremely simple single-target systems that operate on a closed-candle basis to minimize many of the data reliability issues with the Strategy Tester, so I was unable to do much testing with multiple targets and pyramiding etc.
I've included a Debug option in the script that will display important data and information on a label each time a trade is closed. I recommend using the Debug option to confirm that the numbers you see in the table are accurate and match what your strategy is actually doing.
Always do your own due diligence, verify all claims as best you can, and never take anyone's word for anything.
Take care, and best of luck with your trading :)
Kind regards,
Matt.
PS. If you're interested in learning how this script works, I have a free hour-long video lesson breaking down the source code - just check out the links below this script or in my profile.
Inside Candle DivergenceStudy Material: Inside Candle Divergence Indicator (aiTrendview)
1. Introduction
The Inside Candle Divergence Indicator is a custom tool built on TradingView using Pine Script. It is designed to help traders identify potential reversal points or trend continuations using a mix of candlestick analysis, RSI (Relative Strength Index), VWAP (Volume Weighted Average Price), Pivot Points, and Volume analytics. The tool also provides a dashboard table on the chart, summarizing all key values in a single glance for traders and analysts.
This indicator is not just a signal generator but also an educational framework—explaining how different concepts in technical analysis combine to build a systematic approach for market entries and exits.
________________________________________
2. Core Concepts Behind the Tool
A. Inside Candle Pattern
An Inside Candle forms when the current candle’s high is lower than or equal to the previous candle’s high, and the low is higher than or equal to the previous candle’s low.
• This means the entire price action of the current candle is "inside" the range of the previous candle.
• A bullish inside candle occurs when the close is higher than the open.
• A bearish inside candle occurs when the close is lower than the open.
This pattern shows market indecision but also sets up potential breakouts or trend reversals.
________________________________________
B. RSI (Relative Strength Index)
The indicator calculates RSI using the formula from the ta.rsi() function in TradingView. RSI helps measure momentum in the market.
• A low RSI (below 25) signals an oversold zone → possible buy.
• A high RSI (above 75) signals an overbought zone → possible sell.
By combining RSI with the Inside Candle, the indicator ensures that signals are triggered only when momentum and price patterns confirm each other.
________________________________________
C. Buy & Sell Signals
• Buy Signal: Triggered when RSI < Buy Level (default 25) and a bullish inside candle forms.
• Sell Signal: Triggered when RSI > Sell Level (default 75) and a bearish inside candle forms.
When triggered, the chart displays a BUY (green label below candle) or SELL (red label above candle) marker. The indicator also saves the entry price and signal bar for future reference inside the dashboard.
________________________________________
D. VWAP (Volume Weighted Average Price)
VWAP is calculated using the typical price (H+L+C)/3 and weighting it by volume.
• VWAP shows the average trading price weighted by volume, widely used by institutions.
• The tool calculates the distance of price from VWAP in % terms.
• If price is far above VWAP, the market may be overheated (overbought). If far below, it may be undervalued (oversold).
________________________________________
E. Volume Analysis
The tool splits volume into Buy Volume and Sell Volume:
• Buy Volume: If close > open.
• Sell Volume: If close ≤ open.
• Cumulative totals are maintained, and percentages are calculated to show what proportion of total market volume is bullish vs bearish.
• A progress bar style visual (using blocks █) shows the dominance of buyers or sellers.
This allows traders to quickly measure whether buyers or sellers are controlling the market trend.
________________________________________
F. Daily Pivot Points
Pivot Points are calculated using the previous day’s high, low, and close:
• Pivot = (High + Low + Close) / 3
• R1, S1, R2, S2, R3, S3 levels are derived from this pivot.
• These levels act as support and resistance zones.
The script plots Pivot, R1, and S1 lines on the chart for easy reference.
________________________________________
G. Trend Direction
The indicator checks where the price is compared to R1 and S1:
• If price > R1 → Bullish Trend
• If price < S1 → Bearish Trend
• Otherwise → Neutral Trend
The trend direction is displayed in the dashboard with arrows (↑, ↓, →).
________________________________________
H. Price Change Calculation
The tool calculates:
• Price Change = Current Close – Previous Close
• Percentage Change = (Change / Previous Close) × 100
• Displays ▲ (green upward) or ▼ (red downward) with the exact percentage.
This gives traders a quick snapshot of intraday price movement.
________________________________________
I. Dashboard Table
One of the most powerful features is the real-time dashboard table shown on the chart. It contains:
1. Symbol & Price Info (Current ticker, price, change %)
2. RSI Reading (with color coding: green for oversold, red for overbought)
3. VWAP and Distance from VWAP
4. Volume Analysis with Progress Bar (Buy vs Sell %)
5. Pivot Levels (Pivot, R1, S1)
6. Trend Direction (Bullish, Bearish, Neutral)
7. Signal Status (Last Buy/Sell signal with entry price)
This reduces the need for multiple indicators and gives traders a command-center view directly on the chart.
________________________________________
J. Alerts
The tool generates alerts whenever a Buy or Sell condition is met. Traders can set up TradingView alerts to be notified instantly when:
• Buy Signal Alert → RSI oversold + Bullish inside candle
• Sell Signal Alert → RSI overbought + Bearish inside candle
This ensures no opportunity is missed even if you’re not actively monitoring the chart.
________________________________________
K. Background Highlights
The chart background also changes faintly (light green or light red) when a Buy or Sell condition is triggered. This gives traders visual confirmation along with signals and alerts.
________________________________________
3. Practical Use of This Tool
• Scalpers & Intraday Traders can use it for quick momentum-based entries.
• Swing Traders can use the RSI + Inside Candle + Pivot Points to find medium-term reversals.
• Analysts can use the dashboard for real-time summaries in reports.
• Volume Analysis helps understand institutional activity.
Remember: This is not a standalone holy grail. It must be used with proper risk management and confirmation from higher timeframes.
________________________________________
4. Strict Disclaimer (aiTrendview)
⚠️ Disclaimer from aiTrendview:
This indicator is designed for educational and analytical purposes only. It is not financial advice or a guaranteed trading strategy. Markets are inherently risky and unpredictable; past performance of indicators does not ensure future results. Trading involves risk of financial loss, and traders must use proper risk management, stop-loss, and independent judgment.
aiTrendview strictly follows TradingView.com rules and compliance guidelines.
Any misuse of this tool, its code, or analytical features for unauthorized commercial purposes, false promises, or misleading activities is strictly discouraged. The creators of this script and aiTrendview will not be responsible for any losses, damages, or misuse arising from its application. Always trade responsibly and only with money you can afford to lose.
________________________________________
Next Candle Predictor with Auto HedgingThe "Next Candle Predictor with Auto Hedging" is a Pine Script indicator designed for use on TradingView. It combines predictive analysis and basic hedging techniques to assist traders in making informed decisions. Here's a detailed explanation suitable for public sharing on TradingView:
Overview
This script predicts the closing price of the next candle based on the current candle's open and close prices. It also includes an auto hedging feature that suggests potential hedging levels to mitigate risk based on the predicted price movement. The indicator is particularly useful for traders looking to enhance their trading strategies with predictive analytics.
Key Features
Next Candle Prediction:
The indicator analyzes the current candle's data (open and close prices) to predict whether the next candle will close higher or lower.
If the current candle is bullish (close > open), it predicts a higher close for the next candle. Conversely, if the candle is bearish, it predicts a lower close.
Auto Hedging:
The script calculates a hedging level based on the predicted close price.
If the predicted close indicates a bullish move, the hedge level is set slightly below the predicted close, suggesting where a trader might consider placing a hedge. If the prediction indicates a bearish move, the hedge level is set above the predicted close.
Elliott Wave Analysis:
The script includes a basic implementation of identifying significant price movements, akin to Elliott Wave analysis, by detecting peaks and troughs over a specified number of bars (wave length).
This can help traders identify potential trend reversals or continuations.
How It Works
Input Parameters: Users can customize the waveLength parameter, which determines how many bars back the script looks to identify significant highs and lows.
Peak and Trough Detection: The script identifies the highest high and lowest low within the specified wave length, plotting these points on the chart for visual reference.
Prediction Logic: The predicted close is calculated based on the current candle's behavior, allowing traders to anticipate price movements.
Hedging Level Calculation: The script dynamically calculates a hedging level based on the predicted close, providing a visual cue for potential risk management strategies.
Visual Representation
The indicator plots:
Elliott Wave Highs: Marked in green.
Elliott Wave Lows: Marked in red.
Predicted Close: Shown as a blue step line.
Hedge Level: Displayed as an orange step line.
Benefits
Enhanced Decision-Making: By providing predictions and potential hedging levels, traders can make more informed decisions about entering or exiting positions.
Risk Management: The auto hedging feature helps traders manage risk by suggesting levels where they might place hedges against adverse price movements.
Customizable: The script allows for user-defined parameters, making it adaptable to different trading strategies and market conditions.
Conclusion
The "Next Candle Predictor with Auto Hedging" indicator is a powerful tool for traders seeking to enhance their trading strategies with predictive analytics and risk management techniques. By utilizing this indicator, traders can gain insights into potential price movements and make more informed trading decisions.
Feel free to explore the script, customize it to fit your trading style, and engage with the TradingView community for further insights and improvements!
Related
[blackcat] L2 Double EMA Convergence and Diverence (DEMACD)Introduction:
The " L2 Double EMA Convergence and Divergence (DEMACD)" is a custom technical indicator designed for use in TradingView. It's based on the concept of Double Exponential Moving Averages (DEMA) and incorporates elements from the well-known Moving Average Convergence Divergence (MACD). This guide aims to provide an understanding of its definition, history, calculation, operations, usage, input settings, and style.
1. Definition:
The DEMACD indicator is designed to detect changes in price trends using a modified approach of the traditional MACD, with a focus on reducing lag. It does this by comparing two DEMAs of different lengths, providing traders with signals of converging and diverging trends.
2. History:
The concept of DEMA was introduced by Patrick Mulloy in 1994 to reduce the lag inherent in traditional EMAs. MACD, developed by Gerald Appel in the 1970s, is a trend-following momentum indicator that shows the relationship between two moving averages of a security's price. The DEMACD combines the quick response feature of DEMA with the reliable trend analysis of MACD.
3. Calculation Method:
DEMACD is calculated through several steps:
Smoothed price S is first computed as (3 * close + high + low + open) / 6.
DAYLINE is calculated as 2 * EMA(S, len_ema) - EMA(EMA(S, 5), len_ema).
The mainTrendLine is the EMA of the EMA of the closing price over len_dema periods.
DIF is the difference between the DAYLINE and mainTrendLine.
DEA is the EMA of DIF over len_smooth periods.
Finally, DEMACD is calculated as (DIF - DEA) * 2.
4. Basic Operations and Comparison with MACD:
DEMACD's key feature is its reduced lag compared to the traditional MACD. While MACD uses EMA, DEMACD uses DEMA, providing a faster and more accurate response to price changes. This makes it particularly useful in volatile market conditions where traditional MACD may lag.
5. Usage:
Similar to MACD, DEMACD is used for trend confirmation, crossover signals, and divergences:
Trend confirmation is observed when the DIF line is above or below the DEA line.
Crossover signals are generated when the DIF line crosses the DEA line.
Divergences between the DEMACD and price action can signal potential trend reversals.
6. Input Settings:
Users can configure the following settings in TradingView:
len_ema: Length of the EMA for DAYLINE.
len_dema: Length of the EMA for the main trend line.
len_smooth: Smoothing length for DEA.
Adjusting these settings allows traders to tailor the indicator to different trading styles and market conditions.
7. Style:
The DEMACD in TradingView is represented with different colors and line thicknesses:
DIF is plotted in red with a line thickness of 2.
DEA is plotted in gray, also with a line thickness of 2.
DEMACD histogram changes color based on its value relative to its previous value and zero.
Conclusion:
The " L2 Double EMA Convergence and Divergence (DEMACD)" is a versatile indicator that combines the rapid response of DEMA with the trend-following abilities of MACD. Its reduced lag makes it a valuable tool for traders looking for timely market signals. Proper understanding and application of its settings can enhance its effectiveness in various trading strategies.
CM Stochastic POP Method 2-Jake Bernstein_V1Yesterday Jake Bernstein authorized me to post his updated results with the Stochastic Pop Trading System he developed many years ago.
You can take a look at the Original System with Updated Settings at
This indicator is a different set of rules Jake mentioned in the PDF he allowed me to post.
To view the PDF use this link:
dl.dropboxusercontent.com
Today we’re releasing the version described in the PDF that uses the StochK values of 55, 50, and 45. The rules are discussed in the PDF but here is a simple breakdown:
Enter Long when StochK is below 50 and Crosses Above 55
Exit Long on Cross Below 55
Enter Short when StochK is Above 50 and crosses Below 45
Exit Short on Cross Above 45
Two Important Items to understand about this method:
To code the rules Precisely we need a function that will be available when Strategy Capabilities are released on TradingView.
There is one of Jakes Profit Maximizing Strategies that needs to be integrated with this code…which again we need the Strategy based Function that will be coming soon.
To Compare this system to the Stochastic Pop Method 1 System shown yesterday at I used the same Symbol and dates for you to compare…but remember to give this Method 2 System a Fair Look/Evaluation…we need the Soon To Be Released…TradingView Strategy Capabilities.
BackTesting Results Example: EUR-USD Daily Chart Since 01/01/2005
Strategy 1 – Stochastic Pop Method 2 System:
Go Long When Stochasticis below 50 and Crosses Above 55. Go Short When Stochastic is above 50 and Crosses Below 45. Exit Long/Short When Stochastic has a Reverse Cross of Entry Value.
Results:
Total Trades = 151
Profit = 40,758 Pips
Win% = 37.1%
Profit Factor = 1.26
Avg Trade = 270 Pips Profit
***Most Consecutive Wins = 4 ... Most Consecutive Losses = 7
Strategy 2:
Rules - Proprietary Optimization Jake Will Teach. Only Added 1 Additional Exit Rule.
Results:
Total Trades = 151
Profit = 60.305 Pips
Win% = 37.1%
Profit Factor = 1.38
Avg Trade = 399 Pips Profit
***Most Consecutive Wins = 4 ... Most Consecutive Losses = 7
Indicator Includes:
-Ability to Color Candles (CheckBox In Inputs Tab)
Green = Long Trade
Blue = No Trade
Red = Short Trade
Jake Bernstein will be a contributor on TradingView when Backtesting/Strategies are released. Jake is one of the Top Trading System Developers in the world with 45+ years experience and he is going to teach TradingView.com’s community how to create Trading Systems and how to Optimize the correct way.
Link To PDF:
dl.dropboxusercontent.com
Link to Original Version of Indicator with Updated Settings.
US Net Liquidity + M2 / US Debt (FRED)US Net Liquidity + M2 / US Debt
🧩 What this chart shows
This indicator plots the ratio of US Net Liquidity + M2 Money Supply divided by Total Public Debt.
US Net Liquidity is defined here as the Federal Reserve Balance Sheet (WALCL) minus the Treasury General Account (TGA) and the Overnight Reverse Repo facility (ON RRP).
M2 Money Supply represents the broad pool of liquid money circulating in the economy.
US Debt uses the Federal Government’s total outstanding debt.
By combining net liquidity with M2, then dividing by total debt, this chart provides a structural view of how much monetary “fuel” is in the system relative to the size of the federal debt load.
🧮 Formula
Ratio
=
(
Fed Balance Sheet
−
(
TGA
+
ON RRP
)
)
+
M2
Total Public Debt
Ratio=
Total Public Debt
(Fed Balance Sheet−(TGA+ON RRP))+M2
An optional normalization feature scales the ratio to start at 100 on the first valid bar, making long-term trends easier to compare.
🔎 Why it matters
Liquidity vs. Debt Growth: The numerator (Net Liquidity + M2) captures the monetary resources available to markets, while the denominator (Debt) reflects the expanding obligation of the federal government.
Market Signal: Historically, shifts in net liquidity and money supply relative to debt have coincided with major turning points in risk assets like equities and Bitcoin.
Context: A rising ratio may suggest that liquidity conditions are improving relative to debt expansion, which can be supportive for risk assets. Conversely, a falling ratio may highlight tightening conditions or debt outpacing liquidity growth.
⚙️ How to use it
Overlay this chart against S&P 500, Bitcoin, or gold to analyze correlations with asset performance.
Watch for trend inflections—does the ratio bottom before equities rally, or peak before risk-off periods?
Use normalization for long historical comparisons, or raw values to see the absolute ratio.
📊 Data sources
This indicator pulls from FRED (Federal Reserve Economic Data) tickers available in TradingView:
WALCL: Fed balance sheet
RRPONTSYD: Overnight Reverse Repo
WTREGEN: Treasury General Account
M2SL: M2 money stock
GFDEBTN: Total federal public debt
⚠️ Notes
Some FRED series are updated weekly, others monthly—set your chart timeframe accordingly.
If any ticker is unavailable in your plan, replace it with the equivalent FRED symbol provided in TradingView.
This indicator is intended for macro analysis, not short-term trading signals.
Hilly's Reversal Scalping Strategy - 5 Min CandlesHow to Use
Copy the Code: Copy the script above.
Paste in TradingView: Open TradingView, go to the Pine Editor (bottom of the chart), paste the code, and click “Add to Chart.”
Set Timeframe: Ensure the chart is set to 5-minute candles (TradingView: right-click chart > Timeframe > 5 Minutes).
Check for Errors: Verify no errors appear in the Pine Editor console.
Apply to Chart: Use a liquid crypto pair (e.g., BTC/USDT, ETH/USDT on Binance or Coinbase).
Verify Signals:
Green “BUY” labels and triangle-up arrows for bullish reversals (e.g., bullish engulfing, hammer, doji, morning star, three white soldiers, double bottom in a downtrend).
Red “SELL” labels and triangle-down arrows for bearish reversals (e.g., bearish engulfing, shooting star, doji, evening star, three black crows, double top in an uptrend).
Green/red background highlights for signal candles.
Backtest: Use TradingView’s Strategy Tester to evaluate performance over 1–3 months, checking Net Profit, Win Rate, and Drawdown.
Demo Test: Run on a demo account to confirm signal visibility and performance before trading with real funds.
Troubleshooting
If Errors Occur: If any errors appear in TradingView’s Pine Editor console (e.g., “Syntax error” or “Invalid argument”), please share the exact error messages to diagnose environment-specific issues.
Signal Overload: If too many signals appear, increase patternLookback to 15 or set volFilter = volume > volMa * 2.0.
Missed Signals: If signals are too rare, set useVolumeFilter=false or reduce patternLookback to 5.
Additional Features: If you need alerts, other indicators (e.g., EMA, RSI), or dynamic arrow sizing, please specify. Note that dynamic sizing caused errors previously, so I’ve kept size=size.normal.
P/B Ratio (Per Share) vs Median + Bollinger Band- 📝 This indicator highlights potential buying opportunities by analyzing the Price-to-Book (P/B) ratio in relation to Bollinger Bands and its historical median.
- 🎯 The goal is to provide a visually intuitive signal for value-oriented entries, especially when valuation compression aligns with historical context.
- 💡 Vertical green shading is applied when the P/B ratio drops below the lower Bollinger Band, which is calculated directly from the P/B ratio itself — not price. This condition often signals the ticker may be oversold.
- 🟢 Lighter green appears when the ratio is below the lower band but above the median, suggesting a possible shorter-term entry with slightly more risk.
- 🟢 Darker green appears when the ratio is both below the lower band and below the median, pointing to a potentially stronger, longer-term value entry.
- ⚠️ This logic was tested using 1 and 2-day time frames. It may not be as helpful in longer time frames, as the financial data TradingView pulls in begins in Q4 2017.
- ⚠️ Note: This script relies on financial data availability through TradingView. It may not function properly with certain tickers — especially ETFs, IPOs, or thinly tracked assets — where P/S ratio data is missing or incomplete.
- ⚠️ This indicator will not guarantee successful results. Use in conjunction with other indicators and do your due diligence.
- 🤖 This script was iteratively refined with the help of AI to ensure clean logic, minimalist design, and actionable signal clarity.
- 📢 Idea is based on the script "Historical PE ratio vs median" by haribotagada
- 💬 Questions, feedback, or suggestions? Drop a comment — I’d love to hear how you’re using it or what you'd like to see changed.
P/E Ratio vs Median + Bollinger Band- 📝 This indicator highlights potential buying opportunities by analyzing the Price-to-Earnings (P/E) ratio in relation to Bollinger Bands and its historical median.
- 🎯 The goal is to provide a visually intuitive signal for value-oriented entries, especially when valuation compression aligns with historical context.
- 💡 Vertical green shading is applied when the P/E ratio drops below the lower Bollinger Band, which is calculated directly from the P/E ratio itself — not price. This condition often signals the ticker may be oversold.
- 🟢 Lighter green appears when the ratio is below the lower band but above the median, suggesting a possible shorter-term entry with slightly more risk.
- 🟢 Darker green appears when the ratio is both below the lower band and below the median, pointing to a potentially stronger, longer-term value entry.
- ⚠️ This logic was tested using 1 and 2-day time frames. It may not be as helpful in longer time frames, as the financial data TradingView pulls in begins in Q4 2017.
- ⚠️ Note: This script relies on financial data availability through TradingView. It may not function properly with certain tickers — especially ETFs, IPOs, or thinly tracked assets — where P/S ratio data is missing or incomplete.
- ⚠️ This indicator will not guarantee successful results. Use in conjunction with other indicators and do your due diligence.
- 🤖 This script was iteratively refined with the help of AI to ensure clean logic, minimalist design, and actionable signal clarity.
- 📢 Idea is based on the script "Historical PE ratio vs median" by haribotagada
- 💬 Questions, feedback, or suggestions? Drop a comment — I’d love to hear how you’re using it or what you'd like to see changed.
Money Flow: In & Out Detector[THANHCONG]Indicator Name:
Money Flow: In & Out Detector
Indicator Description:
The Money Flow: In & Out Detector indicator uses technical indicators such as RSI (Relative Strength Index), MFI (Money Flow Index), and volume analysis to determine money inflow and outflow in the market.
This indicator helps traders identify changes in money flow, allowing them to detect buy and sell signals based on the combination of the following factors:
RSI > 50 and MFI > 50: Money inflow, indicating a buy signal.
RSI < 50 and MFI < 50: Money outflow, indicating a sell signal.
Volume increase/decrease relative to the average: Identifies strong market behavior changes.
Adjustable Parameters:
RSI Length: The number of periods to calculate the RSI (default is 14).
MFI Length: The number of periods to calculate the MFI (default is 14).
Volume MA Length: The number of periods to calculate the moving average of volume (default is 20).
Volume Increase/Decrease (%): The percentage threshold for volume change compared to the moving average (default is 20%).
Look Back Period: The number of periods used to identify peaks and troughs (default is 20).
How to Use the Indicator:
Money Inflow: When both RSI and MFI are above 50, and volume increases significantly relative to the moving average, the indicator shows a Buy signal.
Money Outflow: When both RSI and MFI are below 50, and volume decreases significantly relative to the moving average, the indicator shows a Sell signal.
Identifying Peaks and Troughs: The indicator also helps identify market peaks and troughs based on technical conditions.
Note:
This indicator assists in decision-making, but does not replace comprehensive market analysis.
Use this indicator in conjunction with other technical analysis methods to increase the accuracy of trade signals.
Steps for Publishing the Indicator on TradingView:
Log in to TradingView:
Go to TradingView and log into your account.
Access Pine Script Editor:
Click on Pine Editor from the menu under the chart.
Paste your Pine Script® code into the editor window.
Check the Source Code:
Ensure your code is error-free and running correctly.
Review the entire source code and add the MPL-2.0 license notice if necessary.
Save and Publish:
After testing and confirming the code works correctly, click Add to Chart to try the indicator on your chart.
If satisfied with the result, click Publish Script at the top right of the Pine Editor.
Provide a name for the indicator and then enter the detailed description you’ve prepared.
Ensure you specify the MPL-2.0 license in the description if required.
Choose the Access Type:
You can choose either Public or Private access for your indicator depending on your intention.
Submit for Publication:
Wait for TradingView to review and approve your indicator. Typically, this process takes a few working days for verification and approval.
User Guide:
You can share detailed instructions for users on how to use the indicator on TradingView, including how to adjust the parameters and interpret the signals. For example:
Set RSI Length: Experiment with different RSI Length values to find the sensitivity that suits your strategy.
Interpreting In/Out Signals: When there is strong money inflow (In), consider entering a buy order. When there is strong money outflow (Out), consider selling.
[Defaust] Fractals Fractals Indicator
Overview
The Fractals Indicator is a technical analysis tool designed to help traders identify potential reversal points in the market by detecting fractal patterns. This indicator is a fork of the original fractals indicator, with adjustments made to the plotting for enhanced visual clarity and usability.
What Are Fractals?
In trading, a fractal is a pattern consisting of five consecutive bars (candlesticks) that meet specific conditions:
Up Fractal (Potential Sell Signal): Occurs when a high point is surrounded by two lower highs on each side.
Down Fractal (Potential Buy Signal): Occurs when a low point is surrounded by two higher lows on each side.
Fractals help traders identify potential tops and bottoms in the market, signaling possible entry or exit points.
Features of the Indicator
Customizable Periods (n): Allows you to define the number of periods to consider when detecting fractals, offering flexibility to adapt to different trading strategies and timeframes.
Enhanced Plotting Adjustments: This fork introduces adjustments to the plotting of fractal signals for better visual representation on the chart.
Visual Signals: Plots up and down triangles on the chart to signify down fractals (potential bullish signals) and up fractals (potential bearish signals), respectively.
Overlay on Chart: The fractal signals are overlaid directly on the price chart for immediate visualization.
Adjustable Precision: You can set the precision of the plotted values according to your needs.
Pine Script Code Explanation
Below is the Pine Script code for the Fractals Indicator:
//@version=5 indicator(" Fractals", shorttitle=" Fractals", format=format.price, precision=0, overlay=true)
// User input for the number of periods to consider for fractal detection n = input.int(title="Periods", defval=2, minval=2)
// Initialize flags for up fractal detection bool upflagDownFrontier = true bool upflagUpFrontier0 = true bool upflagUpFrontier1 = true bool upflagUpFrontier2 = true bool upflagUpFrontier3 = true bool upflagUpFrontier4 = true
// Loop through previous and future bars to check conditions for up fractals for i = 1 to n // Check if the highs of previous bars are less than the current bar's high upflagDownFrontier := upflagDownFrontier and (high < high ) // Check various conditions for future bars upflagUpFrontier0 := upflagUpFrontier0 and (high < high ) upflagUpFrontier1 := upflagUpFrontier1 and (high <= high and high < high ) upflagUpFrontier2 := upflagUpFrontier2 and (high <= high and high <= high and high < high ) upflagUpFrontier3 := upflagUpFrontier3 and (high <= high and high <= high and high <= high and high < high ) upflagUpFrontier4 := upflagUpFrontier4 and (high <= high and high <= high and high <= high and high <= high and high < high )
// Combine the flags to determine if an up fractal exists flagUpFrontier = upflagUpFrontier0 or upflagUpFrontier1 or upflagUpFrontier2 or upflagUpFrontier3 or upflagUpFrontier4 upFractal = (upflagDownFrontier and flagUpFrontier)
// Initialize flags for down fractal detection bool downflagDownFrontier = true bool downflagUpFrontier0 = true bool downflagUpFrontier1 = true bool downflagUpFrontier2 = true bool downflagUpFrontier3 = true bool downflagUpFrontier4 = true
// Loop through previous and future bars to check conditions for down fractals for i = 1 to n // Check if the lows of previous bars are greater than the current bar's low downflagDownFrontier := downflagDownFrontier and (low > low ) // Check various conditions for future bars downflagUpFrontier0 := downflagUpFrontier0 and (low > low ) downflagUpFrontier1 := downflagUpFrontier1 and (low >= low and low > low ) downflagUpFrontier2 := downflagUpFrontier2 and (low >= low and low >= low and low > low ) downflagUpFrontier3 := downflagUpFrontier3 and (low >= low and low >= low and low >= low and low > low ) downflagUpFrontier4 := downflagUpFrontier4 and (low >= low and low >= low and low >= low and low >= low and low > low )
// Combine the flags to determine if a down fractal exists flagDownFrontier = downflagUpFrontier0 or downflagUpFrontier1 or downflagUpFrontier2 or downflagUpFrontier3 or downflagUpFrontier4 downFractal = (downflagDownFrontier and flagDownFrontier)
// Plot the fractal symbols on the chart with adjusted plotting plotshape(downFractal, style=shape.triangleup, location=location.belowbar, offset=-n, color=color.gray, size=size.auto) plotshape(upFractal, style=shape.triangledown, location=location.abovebar, offset=-n, color=color.gray, size=size.auto)
Explanation:
Input Parameter (n): Sets the number of periods for fractal detection. The default value is 2, and it must be at least 2 to ensure valid fractal patterns.
Flag Initialization: Boolean variables are used to store intermediate conditions during fractal detection.
Loops: Iterate through the specified number of periods to evaluate the conditions for fractal formation.
Conditions:
Up Fractals: Checks if the current high is greater than previous highs and if future highs are lower or equal to the current high.
Down Fractals: Checks if the current low is lower than previous lows and if future lows are higher or equal to the current low.
Flag Combination: Logical and and or operations are used to combine the flags and determine if a fractal exists.
Adjusted Plotting:
The plotting of fractal symbols has been adjusted for better alignment and visual clarity.
The offset parameter is set to -n to align the plotted symbols with the correct bars.
The color and size have been fine-tuned for better visibility.
How to Use the Indicator
Adding the Indicator to Your Chart
Open TradingView:
Go to TradingView.
Access the Chart:
Click on "Chart" to open the main charting interface.
Add the Indicator:
Click on the "Indicators" button at the top.
Search for " Fractals".
Select the indicator from the list to add it to your chart.
Configuring the Indicator
Periods (n):
Default value is 2.
Adjust this parameter based on your preferred timeframe and sensitivity.
A higher value of n considers more bars for fractal detection, potentially reducing the number of signals but increasing their significance.
Interpreting the Signals
– Up Fractal (Downward Triangle): Indicates a potential price reversal to the downside. May be used as a signal to consider exiting long positions or tightening stop-loss orders.
– Down Fractal (Upward Triangle): Indicates a potential price reversal to the upside. May be used as a signal to consider entering long positions or setting stop-loss orders for short positions.
Trading Strategy Suggestions
Up Fractal Detection:
The high of the current bar (n) is higher than the highs of the previous two bars (n - 1, n - 2).
The highs of the next bars meet certain conditions to confirm the fractal pattern.
An up fractal symbol (downward triangle) is plotted above the bar at position n - n (due to the offset).
Down Fractal Detection:
The low of the current bar (n) is lower than the lows of the previous two bars (n - 1, n - 2).
The lows of the next bars meet certain conditions to confirm the fractal pattern.
A down fractal symbol (upward triangle) is plotted below the bar at position n - n.
Benefits of Using the Fractals Indicator
Early Signals: Helps in identifying potential reversal points in price movements.
Customizable Sensitivity: Adjusting the n parameter allows you to fine-tune the indicator based on different market conditions.
Enhanced Visuals: Adjustments to plotting improve the clarity and readability of fractal signals on the chart.
Limitations and Considerations
Lagging Indicator: Fractals require future bars to confirm the pattern, which may introduce a delay in the signals.
False Signals: In volatile or ranging markets, fractals may produce false signals. It's advisable to use them in conjunction with other analysis tools.
Not a Standalone Tool: Fractals should be part of a broader trading strategy that includes other indicators and fundamental analysis.
Best Practices for Using This Indicator
Combine with Other Indicators: Use in combination with trend indicators, oscillators, or volume analysis to confirm signals.
Backtesting: Before applying the indicator in live trading, backtest it on historical data to understand its performance.
Adjust Periods Accordingly: Experiment with different values of n to find the optimal setting for the specific asset and timeframe you are trading.
Disclaimer
The Fractals Indicator is intended for educational and informational purposes only. Trading involves significant risk, and you should be aware of the risks involved before proceeding. Past performance is not indicative of future results. Always conduct your own analysis and consult with a professional financial advisor before making any investment decisions.
Credits
This indicator is a fork of the original fractals indicator, with adjustments made to the plotting for improved visual representation. It is based on standard fractal patterns commonly used in technical analysis and has been developed to provide traders with an effective tool for detecting potential reversal points in the market.
Aggregated Volume LTCBTCAggregates the LTC/BTC volume from multiple exchanges into a single indicator.
# Exchanges and Pairs
Included are only exchanges supported by TradingView:
* Binance
* Bitstamp
* Bittrex
* Coinbase
* Gemini
* Bitfinex
* Kraken
* Poloniex
* HitBTC
Many other top exchanges are not included, because they are not supported by TradingView.
# Inputs
By default the spot exchanges are selected. You can select also the other margin trading and derivatives exchanges.
# Contribute
Feel free to share any ideas and issues you have.
# Open Source
The code is open source @ github.com and uses the commonpine library github.com
Aggregated Volume LTC/FiatAggregates the LTC/Fiat volume from multiple exchanges into a single indicator.
# Exchanges and Pairs
Included are only exchanges supported by TradingView:
* Binance
* Bitstamp
* Bittrex
* Coinbase
* Gemini
* Bitfinex
* Kraken
* Poloniex
* HitBTC
Many other top exchanges are not included, because they are not supported by TradingView.
The pair LTC/BTC is not included.
# Inputs
By default the spot exchanges are selected. You can select also the other margin trading and derivatives exchanges.
# Contribute
Feel free to share any ideas and issues you have.
# Open Source
The code is open source @ github.com and uses the commonpine library github.com
Aggregated Volume ETHBTCAggregates the ETH/BTC volume from multiple exchanges into a single indicator.
# Exchanges and Pairs
Included are only exchanges supported by TradingView:
* Binance
* Bitstamp
* Bittrex
* Coinbase
* Gemini
* Bitfinex
* Kraken
* Poloniex
* HitBTC
Excluded low volume exchanges (not in CMC Top):
* CEX.IO
Many other top exchanges are not included, because they are not supported by TradingView.
# Inputs
By default the spot exchanges are selected. You can select also the other margin trading and derivatives exchanges.
# Contribute
Feel free to share any ideas and issues you have.
# Open Source
The code is open source @ github.com and uses the commonpine library github.com
Aggregated Volume ETHAggregates the ETH/fiat volume from multiple exchanges into a single indicator.
# Exchanges and Pairs
Included are only exchanges supported by TradingView:
* Binance
* Bitstamp
* Bittrex
* Coinbase
* Gemini
* itBit
* Bitfinex
* Kraken
* Poloniex
* BitMEX
Excluded low volume exchanges (not in CMC Top):
* CEX . IO
* Coinfloor
Excluded exchange due to volume calculation by TV:
* HitBTC
Many other top exchanges are not included, because they are not supported by TradingView.
# Inputs
By default the spot exchanges are selected. You can select also the other margin trading and derivatives exchanges.
# Contribute
Feel free to share any ideas and issues you have.
# Open Source
The code is open source @ github.com and uses the commonpine library github.com
Aggregated Volume BTCAggregates the Bitcoin volume from multiple exchanges into a single indicator.
# Exchanges and Pairs
Included are only exchanges supported by TradingView:
* Binance
* Bitstamp
* Bittrex
* Coinbase
* Gemini
* itBit
* Bitfinex
* Kraken
* Poloniex
* HitBTC
* OKCoin
* BitMEX
Excluded low volume exchanges (not in CMC Top):
* CEX.IO
* Coinfloor
Excluded low volume pairs (not in CMC Top):
* KRAKEN:XBTCAD, COINBASE:BTCUSDC, ITBIT:BTCEUR, ITBIT:BTCSGD, BITFINEX:BTCJPY, BITFINEX:BTCGBP, POLONIEX:BTCUSDC, OKCOIN:BTCUSD, OKCOIN:BTCCNY
Many other top exchanges are not included, because they are not supported by TradingView.
# Inputs
By default the spot exchanges are selected. You can select also the other margin trading and derivatives exchanges.
# Contribute
Feel free to share any ideas and issues you have.
# Open Source
The code is open source @ github.com and uses the commonpine library github.com
