MetaTrader 5 Python User Group - the summary - page 37
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Python-MetaTrader 5 Strategy Tester (Part 04): Tester 101
In previous articles of this series, we laid the groundwork for building a MetaTrader 5–like strategy tester from scratch. With the core structure in place, several critical components are still missing in our project.
To this stage, we are yet to process ticks and bars sequentially, we lack mechanisms for monitoring open orders and the simulated trading account, and we do not have performance metrics such as profit and loss, drawdown, win rate, risk–reward ratios, and detailed trade statistics in the simulator.
Python-MetaTrader 5 Strategy Tester (Part 05): Multi-Symbols and Timeframes Strategy Tester
Quantitative Analysis of Trends: Collecting Statistics in Python
Quantitative trend analysis is an approach that transforms chaotic market movements into an orderly system of numbers and patterns. In a world where most traders rely on intuition and visual assessment of charts, mathematical analysis of trend movements provides an undeniable advantage. Instead of subjective feelings, you receive precise data: the average trend duration in days, its typical value in points, and characteristic patterns of development and completion.
It is this objectivity that makes quantitative analysis the cornerstone of professional trading. William Eckhardt, a famous trader, rightly noted that trading is not a field of psychology, but a field of statistics. When you know that uptrends on the EURUSD pair statistically last longer than downtrends, or that 70% of trends on GBPUSD end before reaching 200 points, this is not just information, but a specific guide to action.