Exactly one year ago, on Jan. 9, 2021, Cointelegraph launched its subscription-based data intelligence service, Markets Pro. On that day, Bitcoin (BTC) was trading at around $40,200, and today’s price of $41,800 marks a year-to-year increase of 4%. An automated testing strategy based on Markets Pro’s key indicator, the VORTECS™ Score, yielded a 20,573% return on investment over the same period. Here is what it means for retail traders like you and me.
How can I get my 20,000% a year?
The short answer is – you can’t. Nor can any other human. But it doesn’t mean that crypto investors cannot massively enhance their altcoin trading game by using the same principles that underlie this eye-popping ROI.
The figure in the headline comes from live testing of various VORTECS™-based trading strategies that kicked off on the day of the platform’s launch. Here is how it works.
The VORTECS™ Score is an AI-powered trading indicator whose job is to sift through each digital asset’s past performance and identify multi-dimensional combinations of trading and social sentiment metrics that are historically bullish or bearish. For example, consider a hypothetical situation where each time Solana (SOL) sees an extra 150% of positive tweet mentions combined with a 20% to 30% in trading volume against a flat price, its price spikes massively within the next two to three days.
Upon detecting a historically bullish arrangement like this one in, say, SOL’s real-time data, the algorithm will assign the asset a strong VORTECS™ Score. The conventional cutoff for bullishness is 80, and the more confident the model is that the outlook is favorable, the higher the Score.
In order to get a sense of how the model performs, starting from day one the Markets Pro team live-tested a number of hypothetical trading strategies based on “buying” all assets that cross a certain VORTECS™ Score and then “selling” them after a fixed amount of time.
These transactions were executed in a spreadsheet rather than an exchange (hence no fees to eat off the gains), 24/7, and involved complex algorithmic rebalancing to ensure that at…
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