Then, there are some tricks, like picking up pennies and as soon you notice the steamroller starts - throwing the pennies onto your successor in que at once. Then, he/she picks it up and get overrun by the steamroller.
So, the essence of this Story: It's all about knowledge when the steamroller starts.
The steamroller is the big amount of the participants. To be overrun by the steamroller means you'll lose a part of your investments/all of it.
So, check the news !always! And at any time. Check some analysis of the companies in question. Check their properties. Check the overall news coverage in terms positive/negative meaning. And relate that all to the stock price. It's kind of gambling if you want to trade. You need to assess and align it to your risk taking capabilities.
Other is, investment into what you believe. Just like, renewables..
For my self, I play with virtual money in stock trading simulators and try to get along with the whole thing. My risk taking capabilities aren't to high and I'm more of a type of long term investor. So, doing some reading on technical stock analysis and with this knowledge I try to get along (virtually) :)
Some day, when I'm sure what I do and see some good trading strategies developed within the simulation of stock trading, I start with real money.
Good luck mate!
This led me to create FAIG, which you can explore here: https://github.com/tg12/FAIG
To my surprise, it gathered momentum on Reddit. But take it from me, a lot of the chatter on algotrading is mere noise rather than insightful wisdom.
But FAIG is not my only creation. I have a treasure trove of other coding repositories where I occasionally unveil some of my custom trading scripts. You can check out one of these at https://github.com/tg12/hft_sig_trend
Remember, the key is to strategize and then automate. Bring precision and efficiency to your trading.
I started out working in mining as a STEM student and later branched into exploration geophysics before moonlighting in market data aquisition & presentation.
Before I traded any shares on any exchange I had a solid grasp of that one trading domain and had worked through full sets of several years of prior market action coupled with a timeline of public announcements and records across multiple global exchanges.
[1] https://www.spglobal.com/marketintelligence/en/campaigns/met...