Building a Profitable Strategy

Evotrade's Signal Simulation helps traders determine the right strategy based on the alpha they recieve.

Its common to hear, sell 50% at a 2x and sell the rest later, but how often does that actually work? It may work for some based on their alpha but not everyone.

Example

Using the exact same signal data source, here's 2 different simulations.

1. Image 1 is selling 75% of the tokens at a 6x and holding (sells only if the token hits a 6x).

2. Image 2 is selling 50% of the tokens at a 2x and holding (sells if the token hits a 2x).

You can see that using the common strategy you'd actually be losing money (if you didn't perform any other actions other than auto-buy when pinged and auto-sell at the given take profits). But if you tweaked your strategy to match the success of the alpha you historically received, you'd be profitable.

I found this that this strategy would be more profitable by doing a call simulation. The call simulation showed that the average ROI was over 300% and had a win rate of 57% which required a higher take profit to be able to max sufficient gains. Using this information I did a few different simulations to find a more profitable strategy to use and decided selling 75% at 6x was one of the more profitable ones.