Based on the quantitative data, build a model to match the best performing trading algorithms with the best performing market type.
Analyze patterns and draw conclusive summary about the best match.
Extend a model to support data about bot longevity — how does having a longer active bot impact trading performance on average?
Analyze the underlying market asset to understand the correlation between the trading bot performance and existing market performance.
Build a model that determines best performing trading bots for each market type — bull/bear/sideways.
Data analysis, data modeling, data aggregation, Python, financial data, cryptocurrency trading