Machine Learning Based Insights
Accuracy since launch: 72%
While it is extremely improbable to predict a direction of stock move at the release of earnings, one can find in literature many models that aim at finding mis-priced opportunities in the options market using historic data of volatility and moves.
Here at earnings watcher, we use machine-learning to push these approaches way further.
We developed custom pattern recognition algorithms that — not only use historic data of earnings moves and volatility — but a range of comprehensive features such as news coverage and sentiments analysis, options landscape and traffic, current and past market conditions etc.
We use our proprietary models to make insights about pre-release, day-of-release, and post-release markets behaviour around certain stocks earnings releases.
We propose a range of strategies with simple or sophisticated trades.