Quantitative trading uses statistical and probabilistic methods to predict the future stock price of equities and commodities. This is a fairly well developed and researched area. We are leveraging recent advances in NLP for processing news articles, Sequence modeling using Deep Learning and Deep Reinforcement Learning to built low-frequency trading models. We are currently focusing on Indian stock markets (BSE and NSE) only. Currently, we are building a robust backtesting and live-testing framework to test our models thoroughly before actually trading money using these models.
We are expecting to trade using our first cut model in the next 9-12 months after thorough analysis and multiple stages of testing and statistical analysis.