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内容由Andrew Swanscott, Andrew Swanscott chats with professional traders Larry Williams, and Ernest Cha提供。所有播客内容(包括剧集、图形和播客描述)均由 Andrew Swanscott, Andrew Swanscott chats with professional traders Larry Williams, and Ernest Cha 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
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185: How to avoid creating trading strategies that degrade quickly - Timothy Masters

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Manage episode 289925890 series 2391648
内容由Andrew Swanscott, Andrew Swanscott chats with professional traders Larry Williams, and Ernest Cha提供。所有播客内容(包括剧集、图形和播客描述)均由 Andrew Swanscott, Andrew Swanscott chats with professional traders Larry Williams, and Ernest Cha 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Numerical Computing specialist and author Timothy Masters joins us (in his only ever interview) to discuss trading strategy development and validation techniques, including:

  • Why trading strategies fall apart in live trading,
  • How luck impacts trading strategy results and the impact of selecting the 'best' trading system,
  • Why trades in an out of sample dataset are NOT representative of future trades,
  • 3 ways to use Monte Carlo Permutation tests in trading strategy development to avoid overfitting, evaluate strategy robustness and assess the quality of your strategy development process,
  • The danger of using out of sample trades to compute the probability of drawdowns,
  • Entropy and information of indicators and why it's important to strategy development,
  • How stationarity really impacts trading strategies and what strategy developers can do about it,
  • Using Walk Forward to determine how robust a strategy is in the market,
  • Incomplete Beta Distribution to track strategy deterioration,
  • Bootstrapping, granular Profit Factor, the predictive ability of technical indicators, counter-trend trading and much more.

Disclaimer: Trading in the financial markets involves a substantial risk of loss and is not suitable for everyone. All content produced by Better System Trader is for informational or educational purposes only and does not constitute trading or investment advice. Past performance is not necessarily indicative of future results.

  continue reading

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Artwork
icon分享
 
Manage episode 289925890 series 2391648
内容由Andrew Swanscott, Andrew Swanscott chats with professional traders Larry Williams, and Ernest Cha提供。所有播客内容(包括剧集、图形和播客描述)均由 Andrew Swanscott, Andrew Swanscott chats with professional traders Larry Williams, and Ernest Cha 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Numerical Computing specialist and author Timothy Masters joins us (in his only ever interview) to discuss trading strategy development and validation techniques, including:

  • Why trading strategies fall apart in live trading,
  • How luck impacts trading strategy results and the impact of selecting the 'best' trading system,
  • Why trades in an out of sample dataset are NOT representative of future trades,
  • 3 ways to use Monte Carlo Permutation tests in trading strategy development to avoid overfitting, evaluate strategy robustness and assess the quality of your strategy development process,
  • The danger of using out of sample trades to compute the probability of drawdowns,
  • Entropy and information of indicators and why it's important to strategy development,
  • How stationarity really impacts trading strategies and what strategy developers can do about it,
  • Using Walk Forward to determine how robust a strategy is in the market,
  • Incomplete Beta Distribution to track strategy deterioration,
  • Bootstrapping, granular Profit Factor, the predictive ability of technical indicators, counter-trend trading and much more.

Disclaimer: Trading in the financial markets involves a substantial risk of loss and is not suitable for everyone. All content produced by Better System Trader is for informational or educational purposes only and does not constitute trading or investment advice. Past performance is not necessarily indicative of future results.

  continue reading

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