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AutoRegressive Moving Average (ARMA) models: A Comprehensive Guide
Are you new to time series analysis Autoregressive Moving Average (ARMA) models are the first models that you should learn about! Dive into this comprehensive guide to explore all about it....
12 min read
Autocorrelation in Trading: A Practical Python Approach to Analyzing Time Series Data
Autocorrelation can do a lot. Discover how this powerful statistical tool can uncover hidden patterns in time series data.Get ready to dive into the fascinating world of autocorrelation with this informative blog!...
14 min read
Convolutional Neural Networks in Trading with Python: A Complete Guide for CNN
A convolutional neural network is an important concept of deep learning and can be applied to trading as well. But what is it and how can it be applied to trading? This informational blog covers it all....
11 min read
Machine Learning for Algorithmic Trading in Python: A Complete Guide
Python's popularity and its rich ecosystem of libraries, coupled with the simplicity of implementing Machine Learning have made machine learning for algorithmic trading in Python a popular choice. Get all these useful insights with this informative blog....
17 min read
History of Algorithmic Trading, HFT and News Based Trading
With this blog, explore the early developments of algo trading, HFT and news based trading. Gain insights into each trading type from their beginning till now....
12 min read
Finding Balance: Jesmer Wong's Path as a Data Scientist into Algorithmic Trading
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....
4 min read
Backtesting: How to Backtest, Strategy, Analysis, and More
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....
25 min read
RNN, LSTM, and GRU For Trading
Use the power of RNN (Recurrent Neural Networks), LSTM (Short Term Memory networks) & GRU (Gated Recurrent Unit Network) and predict the stock price....
7 min read
AI in Quant Jobs: Impact of Automation and Skills Adaptation in the Age of AI
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!...
10 min read
Optimizing Exit Conditions Using a Variable Take Profit and Stop Loss
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....
7 min read
