Knitting Passion and Skills together, Kishore’s journey from Engineering, to Masters in Finance and now to Algorithmic Trading is an inspiring read....
A martingale strategy tells us that we should double our bet size after every loss. Read on how it helps in trading, as well as code it in Python. Also learn about anti-martingale....
This podcast explains the secondaries market and covers everything from the introduction, sellers, case studies to buyers, factors and all that you would need to know to get started....
An engineer, a triple-Masters holder and the CFO of an international energy company with a decade of experience, this is the story of EPAT Alumnus Rubén....
Get to know about survivorship bias and its relevance in trading. In this article, we have discussed several important points to help you understand and avoid survivorship bias....
Explore everything that you may want to know about unsystematic risk like its formula, types, examples, systematic risks vs unsystematic risks etc....
Tarun started learning trading at a young age of 14, all the while being guided and mentored by his elder brother. Today, he shares his Algorithmic Trading journey. A must-read!...
Ep #4 of our series is EPATians' Share where EPAT Alumni Jigam Gandhi treads on the individuality of a trader and shares his experiences and learnings from his trading....
Get insight into the time weighted average price aka TWAP and explore how it can be calculated using a formula, excel and python....
This blog explains the common mistakes while backtesting. The goal is not to see how great of an equity curve you can make. A GOOD backtest should refer to how accurately it reflects realtime trading, not how ‘good’ the system looks....