Reddit reviews Algorithms to Live By: The Computer Science of Human Decisions

>$250 into $5k

Setting goals isn't a terrible idea, however I will say that a 2000% (non compounding) increase is something the best traders would give their arms and legs for lol.

For reference, this is something I was able to do after lots of learning and experience.

https://twitter.com/robswc/status/1093328001243189248
https://twitter.com/robswc/status/1082782861869109253

These were more done algorithmic than manually trading BUT point still stands.

With that said, you could hit 180% gain in one day with options.

The problem you'll find is that being consistently good is really really hard. What you're essentially setting out to do is consistently win an near random "coin toss".

That's going to take a psychological toll, its going to be grueling but not impossible.

>But I would like to learn the market. Any tips on how to start? What should I start researching? Can I even start trading with that little amount?

$250 is fine starting out. In fact its perfect as starting out there's a possibility you could lose it all, so starting with a small amount is fine.

Don't look at $, look at %. If you can make 1% you can make $100 or $1000. Once you consistently hit %'s, you can increase your position sizes. Keep risk in mind while doing this though.

I would start with paper trading first. Since you're 17 you're not legally allowed to trade. Also, with $250 you can't day trade (PDT rules). So paper trading would definitely be your best bet.

You could also give crypto a try, many exchanges don't really have KYC. A lot of the basics can carry over into any markets.

As far as stuff to learn, these are some of the best books I've read on the subject. You may notice they aren't technical or any "strategies" so to speak. I find those books never help, the mindset and thinking is going to be your biggest challenge.

Trading in the Zone, By Mark Douglas - https://www.amazon.com/Trading-Zone-Confidence-Discipline-Attitude/dp/0735201447

Fooled by Randomness, by Nassim Taleb - https://www.amazon.com/Fooled-Randomness-Hidden-Markets-Incerto/dp/0812975219/ref=sr_1_1?crid=13LH3VBFX62OH

Skin in the Game, by Nassim Taleb - https://www.amazon.com/Skin-Game-Hidden-Asymmetries-Daily/dp/042528462X/

Algos to Live By, by Brian Christian - https://www.amazon.com/Algorithms-Live-Computer-Science-Decisions/dp/1250118360/

A Short History of Financial Euphoria, by John Galbraith - https://www.amazon.com/History-Financial-Euphoria-Penguin-Business/dp/0140238565/

Also, if you're interested in algo or strategy creation at all, I have a youtube channel dedicated to helping beginners make their strategies and learn more. Its on a bit of a hiatus but I'll definitely be getting back to it soon.

https://www.youtube.com/channel/UCxokFZgGpztPTeQvBwIk2wQ

DM me here or on twitter if you have any questions! Love to help, questions also keep me on my toes and make sure I'm learning too!

one way to accustom yourself to coding/algorithms and software engineering when you are not a software engineer is as an example by reading this kind of books

https://www.amazon.com/Algorithms-Live-Computer-Science-Decisions/dp/1250118360

About the IA thing, read this article: https://blog.safegraph.com/a-non-technical-introduction-to-machine-learning-b49fce202ae8

and if you want a more in deep reading about the AI, here's Google's articles about Machine Learning and AI

https://ai.google/education

This might help.

Depends on the cost and how many times I get to make the decision.

For a taco, I'll be happy to search to find one of the better taco places that is convenient to go to.

If I buy an expensive camera, I'm going to find the best camera in my price/feature range.

But for dating, I don't see the point to exhaustively searching the population to find an optimal match.

For starters, you'd need a very large sample of the population to identify what the best match is, and once you've passed on a person (sampled and moved on) you're not really able to go back and say "now I'm ready for a second date". Alternatively, you could spend ages browsing and filtering profiles, but that's even less effective since you're going to be dating a person, not a profile.

For dating the appropriate strategy is to "Look then leap" -- spend a period examining the options (learning the distribution), then "leap" for the next best/sufficient/outstanding candidate.

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