ChatGPT and Algorithmic Trading
I created a trading strategy by chatting with an AI, is it really possible? Read the original article here. The…
Category: Analytics
Using Monte Carlo Simulation for Algorithmic Trading
In financial markets, quantitative traders use the most common Monte Carlo Simulation method to reshuffle the order of their historical trades to help them better understand how a trading system could have happened.
The Return Of Quant Investing
Curated content from here. By Stephan M Kessler, global head of quantitative investment strategies (QIS) research at Morgan Stanley, and Vishwanath…
Advice on How to Become a Research Analyst
By Jason Voss, CFA Original Post In: Leadership, Management & Communication Skills I am frequently asked, “What can I do to improve…
Free Online Courses Starting Your Quantitative Finance Career
There exist two separate branches of finance that require advanced quantitative techniques: the Q quant of derivative pricing, whose task is to “extrapolate the present” and as the sell-side in the market; and P quant of quantitative risk and portfolio management, whose task is to “model the future” and as the buy-side in the market.
Defensive Market Making Against Market Manipulators
https://miro.medium.com/max/1400/0*2arApVA3c-sEuK3E Photo by Keith Johnston on Unsplash Greetings! In a previous article entitled “Simplified Avellaneda-Stoikov Market Making” we discussed how to use such…
High-frequency trading firms can easily get to 64% accuracy in predicting direction of the next trade, Princeton study finds
High-frequency trading firms can easily get to 64% accuracy in predicting direction of the next trade, Princeton study finds