In May 2020, Shrimpy set out to examine how machine learning procedures would fare against strategies such as market cap indexes. Machine learning tools mainly employ statistical techniques that establish a digital currency\u2019s trading system.Therefore, Shrimpy prepared a 20 week period for this exercise and continuously updated any visible performance change within that time. The updates showcased every decision made, a summary of how specific trades affected the portfolio, and a comparison of diverse strategies.After concluding the case study, trader\u2019s interests grew tremendously as they anticipated to know more on crypto price predictions using the machine learning services at Shrimpy.The Most Effective Machine Learning ProductsAlthough Shrimpy primarily focuses on developing automated portfolio management tools, that did not prevent the team from creating innovative machine learning services as well.Shrimpy Developers offers an extensive set of price-prediction models that forecast the potential price performance of cryptocurrencies by using 30 days worth of market data from exchanges. Users can request predictions for individual trading pairs since Shrimpy trains each one separately, which means that they provide access to around 6,000 individual models in total.All models update their predictions on a daily basis after incorporating new market data. It is worth noting that the models support up to 14 leading crypto exchanges, such as Coinbase, Kraken, Binance, etc.Apart from price predictions, users can also request trend predictions that determine whether an asset might behave in a bullish, bearish, or neutral manner in the near future.Both features work by sending API requests to Shrimpy\u2019s Developer interface, which also supports trading bots, portfolio tracking, portfolio rebalancing, data analytics, backtesting, and a plethora of other trading tools.ITB runs as an intelligence company on the frontline to provide customers with insights about crypto assets. The platform leverages a deep neural network capable of coming up with a generalized\u2026<\/p>","protected":false},"excerpt":{"rendered":"
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