We will look at how to measure the balance between risk and reward of investing in specific cryptocurrencies and how to value your trading strategies in this respect. Sharpe and Sortino ratios are the most mainstream tools to do just that. They used to require calculations, but today you can get them through back testing or using analytics on the strategy you are already trading.
No option is unequivocally wrong or right. We will try to clarify some of the reasons behind choosing BTC or USDT to trade in. You’ll be able to pick the one that fits current market conditions and your preference.
In August 90% of ETH holders were in profit. This brings up an interesting question: is it better to hold it or trade it? Trading is highly individual and has plenty of approaches so an absolute answer is impossible. However, we can explore some very common crypto trading strategies and see what might help you make the most out of a bull run. The similar experiment for trading Bitcoin during the 2017 bull run pinpointed some easy and profitable strategies. We hope to provide the same again.
If you are interested in making money of crypto for longer than a few lucky breaks, backtesting should be a tool you are cosy with. There is hardly a profession today that does not rely on data and historic research to devise a strategy. Backtesting crypto strategies has become so easy, that this blind spot for the rest can be your edge.
If you ever developed an algorithmic trading strategy based on technical analysis, you probably wondered how to set up the parameters of the technical indicators. What if there is a better period for RSI on EUR/USD than 14, which is the default? What if a strategy based on moving average crossover were more profitable if the fast moving average was a bit faster or slower? And more importantly: how am I to tell?