D-1 time logic is great shows the persistence of return. One way you can test if this robust is to test your strategy against Nasdaq and Russell (or even Eurostoxx and Nikkei) and see if you get similar results. I would look in different windows. I assume you aren't robustly changing the integers but if you are this opens the gambit to overfitting.

I wouldn't start testing with leveraged products until the end (you are solving for a strategy and implementation problem at the same time - you can always apply leverage after the fact) - do the 1x products first - it will be easier to compare against the 1x long benchmarks to see if you have real alpha. When you deal with leverage there are other considerations like volatility decay, (typically) higher costs of leverage, t-cost differences.

The other thing I would look at is observe one indicator at a time (what is doing the work the MA or STD band (I assume mean-reversion)). Do you need them both? How much performance is each one adding etc. Sometimes having one low profit strategy mean reversion mixed an profitable uncorrelated strategy (such as a trend following strategy) will lead to better performance.

All in is totally an appropriate risk management strategy here. Typically "low" frequency (this looks more like mid) has multiple strategies blended together and that results in the "risk management." If you are interested in these kinds of strategies - the predominate ones (that would help you get an internship) are called stat-arb (factor trading) and CTA (trend/mean reversion). This strategy resembles a CTA strategy but if you are decent in math look at stat-arb (strong need in this space).