$300

Time Based Entry Strategy (Forex)

Buy this
5 left

Time Based Entry Strategy (Forex)

$300

C++ Backtesting Program for Time-Based Trading Strategies

A high-performance C++ application designed to simulate time-based trading strategies using historical 5-minute price data. The program enables users to instantly backtest 15 currency pairs over a specified period—from March 7, 2024, to December 31, 2024—providing rapid insights into strategy performance.

Key Features:

  • Comprehensive Performance Analysis: View final balance, total gains/losses, percentage return, and daily breakdowns (Monday through Friday) to evaluate consistency across the week.
  • Risk & Reward Evaluation: Test strategies using a custom risk-to-reward (R:R) ratio and specified entry times to assess profitability under realistic conditions.
  • Detailed Metrics: Track critical statistics including maximum drawdown, peak balance, and win/loss outcomes for every simulated trade.
  • Data-Driven Decisions: Leverages precise historical 5-minute candle data to validate whether each trade would have hit profit or stop-loss levels.
  • Export Functionality: Save complete backtest results to a file for further analysis, optimization, and record-keeping—ideal for refining strategies to meet the requirements of proprietary trading firm challenges.

This tool is perfect for traders aiming to validate time-based methodologies and improve their chances of successfully passing prop firm evaluations through data-backed preparation or to use for personal forex trading account.


Buy this
0 sales

A high-performance C++ program that backtests time-based trading strategies across 15 currency pairs from March 7 to December 31, 2024, using historical 5-minute data. It evaluates performance based on user-defined entry times and risk-to-reward ratios, providing key metrics like profit/loss, win rate, drawdown, and daily returns. Results can be exported for analysis, helping traders optimize and increase their chances of passing prop firm challenges.

Size
37 MB
Powered by