Trade Crypto with Machine Learning Based On Google Trends
Google trends (GT) is an under-utilized superweapon and harvests a massive amount of search data. But, it hasn't been possible to use GT for real time machine learning tasks, such as predicting stock price or crypto currency movements, until now.... In this blog, we'll explain the problem with GT for machine learning, the fix to GT data and the edge we've built in crypto trading models at edgebase.io. We are currently looking for experienced crypto traders as beta testers for our product - please reach out to [email protected] ! Edgebase.io is a no-code platform for building your own AI trading signals (initially cryptos only).
Let's assume you want to test whether Google trends keywords, such as "bitcoin", are leading indicators of the price movement for BTCUSD on the Kraken Exchange. You'll need an method to grab historical data for building ML models and the equivalent real time data to evaluate those models and make predictions. Easy. Not quite.
Above we can see that the "interest over time" of "bitcoin" for the past 30 days and the past 90 days . Looking back 30 days, the value on 23rd April 2021 is 100, whereas looking back 90 days the value on 23rd April is 76.
