Tester
Last updated
Last updated
The strategy tester is a comprehensive tool that allows developers to test algorithmic trading strategies using historical price data. This tool offers a unique opportunity to analyze the effectiveness of algorithms under various market conditions without the risk of real financial losses by simulating real-world trading environments.
However, it's important to note that the results obtained during testing do not guarantee similar success in live trading, as market conditions can vary significantly.
Symbols: List of trading pairs to be tested.
Spread: Difference between buy and sell prices.
Start Date: Start date of the testing.
End Date: End date of the testing.
Maker Fee: Commission for market orders.
Taker Fee: Commission for limit orders.
Leverage: Maximum leverage.
Balance: Initial balance.
Exchange: Selection of the exchange.
Parameters passed to the script.
For example, a trading bot may accept the following parameters:
sizeUsd (100 USD): trade size.
tpPercent (2%): percentage to set Take-Profit.
slPercent (1%): percentage to set Stop-Loss.
So, the robot will open trades for $100, set a Take-Profit at 2%, and a Stop-Loss at 1% from the opening price. If you change sizeUsd to 200 USD bot robot will open trades for $200..
Optimization is the process of tuning algorithm parameters to improve outcomes. This includes:
Selecting parameters for optimization.
Setting ranges for parameter values.
Initiating the optimization process.
Analyzing results to enhance the efficiency and profitability of trading.
Parameter Symbols can take a list of symbols, allowing for the simultaneous testing of multi-pair strategies. After the completion of testing across all pairs, the results for each will be compiled into a single comprehensive report. This enables the generation of a report for a multi-pair robot.
