Is it a great Autonomous FX Trading Strategy or you are just fooling yourself
Murilo Sibrao Bernardini, Paulo Andre Lima de Castro

TL;DR
This paper introduces a realistic evaluation method for autonomous FX trading strategies, revealing many are unreliable for long-term investment despite promising backtest results.
Contribution
The paper presents a novel evaluation approach that exposes pitfalls in existing strategies and provides criteria for selecting promising long-term autonomous trading strategies.
Findings
Many published strategies are unreliable for real trading.
Backtest performance often overestimates real-world effectiveness.
The method helps distinguish truly promising strategies from false positives.
Abstract
In this paper, we propose a method for evaluating autonomous trading strategies that provides realistic expectations, regarding the strategy's long-term performance. This method addresses This method addresses many pitfalls that currently fool even experienced software developers and researchers, not to mention the customers that purchase these products. We present the results of applying our method to several famous autonomous trading strategies, which are used to manage a diverse selection of financial assets. The results show that many of these published strategies are far from being reliable vehicles for financial investment. Our method exposes the difficulties involved in building a reliable, long-term strategy and provides a means to compare potential strategies and select the most promising one by establishing minimal periods and requirements for the test executions. There are…
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Taxonomy
TopicsFinancial Markets and Investment Strategies · Stock Market Forecasting Methods · Complex Systems and Time Series Analysis
