48 min listen
192: “Predicting profitability using machine learning” – Ernie Chan
192: “Predicting profitability using machine learning” – Ernie Chan
ratings:
Length:
54 minutes
Released:
Jun 15, 2021
Format:
Podcast episode
Description
Quant trader Ernie Chan from PredictNow.ai joins us to discuss how to predict the profitability of trades using machine learning, including: Unconditional probability and the problem with win% in backtest reports, Why “conditional probability” is much more useful for a trader and how to apply conditional probabilities to capital allocation, Why you should use Machine Learning for risk management and capital allocation only (and not for building trading strategies), Why feature selection and feature importance ranking are so valuable, Plus, the best ML techniques for prediction, how simple should trading strategies be, insights from cluster-based feature selection, do these techniques really work, ML as a crystal ball 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.
Released:
Jun 15, 2021
Format:
Podcast episode
Titles in the series (100)
013: Hedge fund manager Andreas Clenow discusses cash vs risk allocation, position rebalancing and why traditional trend following doesn't work in stocks.: Andreas Clenow is a hedge fund manager who specialises in developing and trading quantitative strategies across all asset classes. Before joining the hedge fund world by establishing his own hedge fund he maintained Global Head positions at Reuters... by Better System Trader