Are you ready to take the first step towards trading excellence?
Transform your trading approach and achieve the success you've always envisioned with AlgoBulls.
In the algobulls_connection.get_backtesting_report_pnl_table
function, you have the option to specify slippage
and brokerage
parameters to account for transaction costs and execution variations. These parameters allow you to fine-tune your backtesting results to better simulate real-world trading conditions.
slippage_percent
To incorporate slippage into your backtesting, simply pass the desired values for slippage_percent
, when calling the algobulls_connection.get_backtesting_report_pnl_table
function. These parameters help you account for real-world trading costs and execution variations, making your backtesting results more realistic.
import algobulls_connection
# Fetch PnL data for a trading strategy with custom slippage settings
pnl_table = algobulls_connection.get_backtesting_report_pnl_table(
strategy_code="your_strategy_code",
show_all_rows=True,
force_fetch=True,
country='USA',
slippage_percent=4.5, # Adjust slippage percentage as needed
)
# Print the PnL table with custom slippage settings
print(pnl_table)
Transform your trading approach and achieve the success you've always envisioned with AlgoBulls.