PROTECTED SOURCE SCRIPT
Updated Density & Step Grid Strategies Backtester

This contains several signals for backtesting strategies only in binance futures assets.
HOW IT WORKS
Grid trading is a trading strategy where an investor creates a so-called "price grid". The basic idea of the strategy is to repeatedly buy at the pre-specified price and then wait for the price to rise above that level and then sell the position (and vice versa with shorting or hedging). We introduce 2 grids trading algorithms "Step" and "Density" .
FEATURES
Grid size: This algorithm has a max of 20 orders.
Take profit: The trader can increase or decrease the distance between the grids from the User Interface panel, is the the distance from average price.
Management: The algorithm distributes the capital for all orders depending on the amount fator, for example 1.1% of amount factor adds 10% over the previus order.
Stop Loss: The algorithm place the stopn using distance from the last lower / upper grid depending on the position side.
USES
Indispensable research and backtesting tool for those using bots for their investments. The algorithm produces a backtesting of the strategy for past history. It is used by professional traders to understand if this strategy has been profitable on a market and what parameters to use for bots using this strategy, only binance futures assets supported.
If you would like to develop your own algorithm with customized conditions based on a grid strategy, please contact us.
If you need help in using this tool, please contact us without hesitation.
HOW IT WORKS
Grid trading is a trading strategy where an investor creates a so-called "price grid". The basic idea of the strategy is to repeatedly buy at the pre-specified price and then wait for the price to rise above that level and then sell the position (and vice versa with shorting or hedging). We introduce 2 grids trading algorithms "Step" and "Density" .
FEATURES
Grid size: This algorithm has a max of 20 orders.
Take profit: The trader can increase or decrease the distance between the grids from the User Interface panel, is the the distance from average price.
Management: The algorithm distributes the capital for all orders depending on the amount fator, for example 1.1% of amount factor adds 10% over the previus order.
Stop Loss: The algorithm place the stopn using distance from the last lower / upper grid depending on the position side.
USES
Indispensable research and backtesting tool for those using bots for their investments. The algorithm produces a backtesting of the strategy for past history. It is used by professional traders to understand if this strategy has been profitable on a market and what parameters to use for bots using this strategy, only binance futures assets supported.
If you would like to develop your own algorithm with customized conditions based on a grid strategy, please contact us.
If you need help in using this tool, please contact us without hesitation.
Release Notes
Add support for invert signals with in ath range (configurable)Release Notes
Minor fixings: order countRelease Notes
Add options to open positions only on ATH rangeRelease Notes
add support for invert all or ath only signalsRelease Notes
improve calculationsRelease Notes
minor fixingsRelease Notes
Add support for RSI Constraint for long y short entriesRelease Notes
fixing rsi constraintRelease Notes
Add support for Hyper alertRelease Notes
add end of life for this script, for more information please contact us using the linksRelease Notes
Density & Step Grid Strategies BacktesterProtected script
This script is published as closed-source. However, you can use it freely and without any limitations – learn more here.
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.
Protected script
This script is published as closed-source. However, you can use it freely and without any limitations – learn more here.
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.