On conducting monte carlo analysis of the system, I understood that the probability of maxDD to be below 5% is only ~3%.
There was about 61% probability of the maxDD to be between 5-10%
and ~2% probability that it could be around 20-40%.
You need to be aware of these.
Once you know the odds of a certain range of maxDD happening, then you can confidently deploy your strategy.
You'd also face drawdowns that lie within your comfortable range instead of being misled by just the historical maxDD as it happened in the series of trades historically.
Check the thread with the attached tweet. I have written briefly about monte carlo analysis here.
Systematic Trading, backtesting, etc., may sound like a current generation fad, but they are clearly not.
As far back as 1990s, several big funds, quant funds have used backtesting/exploration, etc., to develop systems to trade.
Only recently it has become viable for retail.
Until late 2010s, we didn't have faster internet speeds, access to better data, low cost brokers, access to ease-of-use programming languages/tools to backtest strategies thoroughly.
MATLAB was complicated. Excel was limited without VBA. VBA was not everyone's cup of tea.
Python going mainstream as a programming language alongside R programming made it possible for many people to start backtesting their ideas.
And proliferation of several helpful tools/libraries in Python has also helped several people move fast in backtesting.