I understand that "stocks in play" (boomer slang for meme stocks) display whacky irrational behavior that makes no sense, or there is just a temporary combination of high volatility at relatively low market cap, and therein lies potential profit opportunities. It's not clear whether an algorithmic trading strategy is applicable to such situations although I do see people always mention "stock screeners" which seems to just be code to filter time series.
After taking into account transaction costs, slippage and taxes, it's not clear that there is anything better to do than buy and hold low-cost index funds.
Also, there is a separate problem around having the computer structure/segment large trades to reduce market impact to get the best deal possible by looking at the order book to wait for people willing to buy/sell a lot at reasonable prices or something -- that is a different kind of algorithmic trading from what most people mean when they say they are backtesting a trading strategy like moving average crossover or something.
It all just feels too much like alchemy. But, if you become independently wealthy by writing code or you just don't lose a lot of money and you find it fun so it's sort of like paying to do something you enjoy, God bless.
Perhaps this effect is ignorable if one trades insignificant volumes, but then, one can't get rich on trading insignificant volumes, so what's the point.
Sure, 100%. The growth of this strategy has limitations though. Check out Mike Green's interviews on Youtube about the growth of passive investments post 2008 as a source of systemic volatility.
Though I can't tell if this project supports it, how do you feel about non-stock price indicators? Things like housing starts, gas prices, or various constructions of a "Walmart indicator"?
I couldn't find anywhere this project implies otherwise. I assumed you're supposed to load your proprietary data in the strategy.
