Tester

How it works?

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.

Tester parameters:

• 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

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..

Strategy Optimization

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.

🔥 Multi-Currency backtesting

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.