The first strategy one learns about, when using indicators, is the Moving Average Crossover. It’s generally not a very successful strategy but it’s easy to explain and implement. Very easy in TradingView because one can just add the two moving averages to a chart and set the lookback periods to one’s liking. After years of trying far more complex strategies, such as statistical arbitrage, coming back to the Moving Average Crossover feels surreal. Sure, I’m ‘supervising’ it with an ML algorithm, in the sense that the algo gives the green light to trade (or not) based on it’s own assessment of the chances of profit, but that doesn’t make a big difference to the overall result. Picking the right values for the lookback periods has far greater impact. Or so it seems.