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This video looks at practical ways that you can avoid the effects of one of the most common reasons for over-fitting your trading strategy: Over-fitting due to Economic News Events. Brought to you by Darwinex: UK FCA Regulated Broker, Asset Manager & Trader Exchange Where Traders Can Legally Attract Investor Capital and Charge Performance Fees: https://www.darwinex.com/?utm_source=... Economic news events over-fitting occurs when a number of trades for a sample of the parameter values being optimized, are affected by major events in the market. These large losing or winning trades can skew your results significantly. This is something that is not predictably repeatable in the future, and is therefore detrimental to the selection of the parameter values that will be chosen from the optimization process. The video also proposes a way to quantitatively measure the effects of events over-fitting. ----------------------- IMPORTANT REQUEST: Please please please.. if you find this content useful, please do consider liking and sharing it on YouTube, Twitter, Facebook, LinkedIn and whatever other social networks you have circles in. Darwinex relies almost exclusively on organic growth, primarily through recommendation via informative content. YouTube’s algorithms measure the quality of Darwinex content on the basis of: Reach Engagement and several other related variables With seemingly small actions such as: Clicking the Like button Clicking the Subscribe button Clicking the Share button (on YouTube) and distributing our content etc … YOU inform YouTube’s algorithms of your sentiment towards Darwinex, thereby directly helping Darwinex MASSIVELY in achieving organic growth. Thank you very much for your kind consideration! ----------------------- Risk disclosure: https://www.darwinex.com/legal/risk-d... ** Fancy joining a vibrant community of algorithmic traders, quants and data scientists focused on financial hacking? Join the Darwinex Collective Slack Workspace: https://join.slack.com/t/darwinex-col... #algorithmictrading,#optimization,#overfitting,#backtesting,#overoptimization,#economicnews,#algotrading,