Alternative Markets Update H1 2019
After the difficulties for hedge funds in 2018, 2019 started strong, despite the current uncertainties, such as the Brexit, the European elections and the trade war. Only in May, there were some difficulties. This short downturn was offset and more than compensated in June, which yielded extraordinary results. Our best performing strategy was the cryptocurrency strategy, followed by US equity disruptive technology and US equity high conviction. The best performing asset class was tactical trading, which achieved a 30.78% YTD, as shown in figure 1. Furthermore, all strategies had positive return in H1 2019.
Macro and Political Outlook June 2019 MacroEagle
Macro and Political Outlook April 2019 MacroEagle
STONE MOUNTAIN CAPITAL RESEARCH PERSPECTIVE VOL.88
Our in-house strategies in credit, equity and fund of funds, as measured by our indices, have performed better in the first half of the year than their traditional and alternative peers. Tactical trading is still lagging due to the struggling performance of the actively managed altcoin strategy this year mainly driven by falling bitcoin prices. Equities are the top performing and the bucket that has the most representatives in the top-5 performing table, followed by credit/fixed income strategies.
STONE MOUNTAIN CAPITAL RESEARCH PERSPECTIVE VOL.81
Indubitably, the cryptocurrency market has caught the attention of investors and traders, who are engaging vigorously due to its volatile nature. The crypto market has reached a market capitalisation of ca. $400 billion, half of which is in Bitcoin ($140bn) and Ethereum ($70bn). Crypto markets are affected on a large scale by regulatory and sentiment factors, which makes technical analysis desirable, hence many CTAs that apply such techniques have added cryptocurrencies in their trading portfolios. One of the theories that could reveal patterns is the Elliott Wave Principle, developed in the late 1920s and believing that the swings of market psychology appear in similar repetitive patterns, which Elliot classified as waves. The waves were essentially the consistencies of investors’ reactions to external factors. Despite the principle’s popularity, its difficulty to be applied should be stressed out as investors attempt to analyse the patterns. The divergence in opinions about the Bitcoin’s price projection highlights the predicaments in applying theories and considering the unregulated nature of crypto markets all theories may lead to a worth of zero. The main and biggest issue that technical traders face is defining the duration and length of the first wave and then to apply the rules, therefore many traders that analyse the same horizon may end up with different signals. The other hurdle is the applicability of the principle in cryptocurrencies. This perspective will consider it applicable due to the sentiment driven Bitcoin, although this may change in the future with the inclusion of more computerised trading. For the purpose of this perspective, we will examine different time horizons and the most recent crashes and rallies of the Bitcoin price.