Case Study: US Based Firm boosts cryptocurrency trading profits with Algoscale's predictive engine

A US based firm uses prediction engine for cryptocurrency forecast and trading

US Based Firm, a US company with business interests in fintech, marketing, legal solutions, and services, needed a way to keep up with rapid cryptocurrency market fluctuations and make investment decisions more efficiently. Manual monitoring of price changes was too time-consuming and complex, and the company wanted an automated prediction engine to help manage its trading activity.

Algoscale built a cryptocurrency prediction and trading engine using live trade and order data from Bittrex, applying multivariate time-series data and an LSTM deep learning model to forecast currency pair movements. By automating trading processes and using predictive data science instead of traditional indicators, Algoscale helped the client increase profits by 20% while also reducing costs tied to open source trading engine service fees.