Did you know that ARIMA can be used with Python for trading? Get to know the role of ARIMA in time series analysis for forecasting the stock prices and much more with this blog....
Jesmer Wong, a data scientist from Hong Kong explores the world of algo trading with EPAT. With a background in electronics engineering and an MBA in Finance, Jesmer is also the founder of a business networking portal in Hong Kong. This is his journey into algorithmic trading....
Discover the importance of backtesting trading strategies. Learn how to do backtesting, explore how you can use Python for backtesting a trading strategy, interpretation, and much more in this insightful blog....
Use the power of RNN (Recurrent Neural Networks), LSTM (Short Term Memory networks) & GRU (Gated Recurrent Unit Network) and predict the stock price....
AI's impact on quant jobs and the field of quantitative analysis is significant. Quants must adapt to leverage AI's potential for improved efficiency and insights. But how? And what all can an AI do to help quants? Find it all in this informative and interesting blog!...
Many strategies focus on finding the best instance for trade entry and execution. However, when should you take profits or cut losses? This EPAT project explains. Find out how optimizing the exit conditions for commonly used trading strategies can improve the success of trades....
Going live with your trading strategy requires you to ensure that the strategy is backed by a thorough analysis. With this informative blog, you can learn all about getting familiar with live trading and how to reach your potential for success with trading....
Guohao Ernest, a financial advisor from Singapore who works at an independent advisory, explores the world of algo trading through EPAT. This is his journey into algorithmic trading....
Discover step-by-step instructions to preprocess data, build models, interpret feature importance, and evaluate trading strategies. Overall, gain practical skills to enhance trading decisions using random forest algorithms with this comprehensive blog....
The covariance matrix is a mathematical matrix that represents the covariance between multiple variables. The portfolio variance measures the overall risk considering the covariance among its assets. But how to use both in trading? Find it all out with this interesting and informative blog!...