Chart shows progress of DataSwarm’s Technology Services Portfolio from 2nd March 2020 until 9th July 2020, tracking performance against the FAANGs Over the past decade, FAANG (Facebook, Amazon, Apple, Netflix, Google) stocks have grown faster than the overall S&P 500 and the more technology-focused NASDAQ – so if you can beat the FAANGs then you’re[…]
Chart shows performance of DataSwarm Health Technology Portfolio (blue line) against S&P (red line) from 2nd March 2020 until 9th July 2020. At that moment – the ‘Covid Crash of February 2020’ as we could now describe it – we watched the DataSwarm System with fascination to see what it would tell us to do. […]
Chart shows progress of fund from start in December 2019 until end May 2020, tracking market performance from portfolio buildup into the trading stage, and then navigating the market crash and rebuild We talked in more detail about what we have done trading using the Zeitgeist signal over here. There were three “interesting” phases from[…]
Chart shows the progress of the DataSwarm Trading Fund (DTF) from start in December 2019, tracking market performance from portfolio buildup into the trading stage, and then navigating the market crash and rebuild Predicting asset prices using the DataSwarm Zeitgeist Followers of this blog will recall that we have used the DataSwarm Analytics Engine on[…]
Since May 2019 we have been participating in the IARPA 2nd Geopolitical Forecasting Challenge , Round 1 has just ended and we came 5th (out of about 40 participating organizations) overall and so have won a Round 1 prize! IARPA is the US Intelligence Advanced Research Projects Activity (The Intelligence equivalent of DARPA) and its[…]
The graph above shows the cumulative rise in relative sentiment of Slack, from 28 days before the IPO (we are up to Day 27 for Slack, as seen on the chart) compared to the same for Uber, Lyft and Pinterset. Later today it will have its IPO, and we are curious to see if this[…]
DataSwarm Markets Trading Systems Our systems are designed to help you trade better. We also use our own systems to trade ourselves. The DataSwarm Trading Fund (DTF) is a simulated fund using structured investment rules and the DataSwarm Markets Trading System for picking stocks. It started operation on 1 December 2019. The chart below shows[…]
In testing the Dataswarm Analytic Engine on stock analysis and prediction, we are tracking the events leading up to the IPOs of a number of “Unicorns” – Uber, Lyft, AirBnb and Slack – to see if there is anyhing that can be learned from the social (and other) media coverage to predict what the IPO[…]
Chart end of day March 29 – Volume of “analyst” discussion on 4 key unicorns, starting with Lyft S-1 filing on March 1st A number of the better known large private Tech companies (the “Unicorns”) recently announced they are going to hold Initial Public Offerings (IPO’s) of public shares (or stock) in 2019, in fact[…]
Graph shows change in cumulative perception over time for Monzo, Revolut, NatWest and Lloyds. Over the last few weeks the Challenger bank Revolut has had a very challenging time with its market perception, due to a catalogue of errors. We won’t list their problems here, but there is a good summary on Bloomberg.[…]