28 · Reading the Water

An API network along the websites: feed LLMs the data available online, let them compute and leverage the knowledge into fundamental analysis — day trades, scalps, swings, maybe even position trades — and distribute them. Alongside that, use AI maths tools and stochastic modelling to build the systems and infrastructure for algorithmic trading, feeding it all into TradingView. But this is such an obvious idea that it has less edge. The question is how to increase deviation.

The two paths are still parallel, not coalesced. We need a way to convert mathematical quantitative data into qualitative data, and vice versa. Maybe a new language, perhaps? Something has to bridge the gap between those two types of data. Look at Iman, G — there is some beauty in the chaos and the suffering. If you can find what you must do and scale it properly, a lot flows from there.

What are the strongest forces that drive humanity? One seems to be hope, then fear. Emotion-wise, those are the biggest patterns. The strategy: if you can build an exhaustive list of all the variables, coalesce them into a nearly infinite-dimensional space — some topological space — and use scientific computing and mathematical modelling to predict it radically in the short term, then bet everything on the short term. This is probably what I'll be doing for the next decade: reading, testing, modelling, and building like hell. It's going to be a very long journey — buckle your seatbelt. Ironically it might take far less time than expected, but it will feel like forever. There are so many books to read, so many textbooks — orchestrating everything will be a pain, but you have to pull it off.

There is one book called The Goal — a gem Mr. Beast tells his people to read. Read it.

Even the smallest websites matter. There are certain websites that are not mainstream at all — the real needle in the hay, the wheat separated from the chaff, the signal from the noise. Ironically like an undervalued stock, a dying pendulum with high latency. There's a corporate company in who-knows-where — Namibia, Montenegro, Liechtenstein — struggling with executives still dealing with a lack of automation. You can charge decent fees for customer funnel optimisation or workflow streamlining, automating the bottleneck they don't want the headache of learning new tech for. Find a few customers, identify the pain point, solve it for free, build credibility via reference, then use that reputation to charge other firms.

Just know how entrepreneurship works: you have nothing for the first nine months, then you suddenly get your first client who pays you like 20k, then three more clients in the next three days, then silence for a couple of months — and it accumulates. One man's trash is another man's treasure; it's your responsibility to find the demand that matches your worthy supply.

UwU Lend is a decentralised finance lending and borrowing platform — non-custodial, meaning users keep control over their assets rather than relying on a traditional intermediary. Look into it. Stable coins are cryptocurrencies pegged to a stable asset like USD; the payment rail is the underlying infrastructure for transferring value, with USDC and USDT dominant — similar to the gold standard and fiat, but slightly different.

To buy and sell stocks, bonds and derivatives, prop shops use their own money rather than a pool of clients' money. Betting markets are emerging. A statistical, stochastic mind is the entry fee.