so far this year, i've been focused on the math side of trading - quant/stats/pure maths i realised trading manually was more gambling... humans are irrational trading is hard, especially strategies that involve discretion. ive hopped to many different strategies from opening range (ORB), fvgs, std, profiles, structures at the end of the day, im not sure why the strategies dont work, even when sizing matters somehow we get a 8 loss streak and it blows the account propfirms are kind of designed in a way to lure in those with gambling behaviour so i decided to pivot to quant the starting point of it was quite hard theres not really a course for it unless its paid but yeah its easy to find resources online first started making strategies based on my knowledge so far with monte carlo - i can see whether a strategy is viable before you had to code it all by hand but with ai, it really accelerates the whole process, meaning the barriers of entry has lowered so backtesting is much easier and fine tuning (optimising) strategies with regimes is much easier so with this, i still study math, and strategies to find out what works theres free papers and study papers on sern so ive been buying evals and testing my strategies these are the conclusions i've came up with 1. account gets blown due to large losing streak 2. account gets passed really slow like 1 month+ 3. if sized up for part 2 - its get blown but im on my last strategy (for now) im very confident in this one if this goes well and i start scaling i can reach 100k+ months really easily i will probs start my last algo mid-late august when market starts to ramp up again as the summer holiday - all the bankers go banking in their holidays but yeah thats my blog for now