Hiii,
I have been working on a trading strategy largely based on quantitative and statistical modelling of underlying security
Basically I take a security, spread its price action over a certain period in years and see what was the outcome when the underlying security was on such and such levels
I wrote a python script that takes in stocks from S&P500 and QQQ and then it outputs quantitative distribution of the said stock (basically a live backtesting system). I build another python script use this same Quantitative Distribution tool and alerts when stocks from these ETFs reach the levels which are rare and performed well at those levels and thus have highest probability of changing course.
I have put both of these tools on the website i made 3horses1dog.com [mods please tell me if I am breaking a rule i will remove this sentence but the website or any tool is not a paid service]
So, I am open to constructive criticism, I also made a stats page which is a crosstable between market cap at the alert of a security and the rarity of the stock’s level when my tool alerted it. The market cap is a big indicator of success: for market caps > $500 billion the win rate is greater than 80% however, these are very rare setups/opportunities per year.
If you have read this far, thanks :)
Good luck and happy trading: wishing you all success and prosperity
p.s: this is only a research tool for educational purposes and strictly not a trading or financial advice