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If I think about it, I’m saving money by not using the AC 🤔 which is basically the same as getting paid. Maybe boy math is onto something… girl math just has me spending more #homegym #homegymsetup

19,432 次观看 • 1 年前 •via X (Twitter)

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YOUR BOT HAS A 70% WIN RATE AND IS STILL LOSING MONEY. This is more common than you think and the reason is always the same. Most people treat win rate like it's the only number that matters. It's not even close to the full picture. Here's the math nobody is putting together clearly: EV = (p × b) − (1 − p) P is your win probability, b is your payout multiplier. At a 70c entry your payout multiplier is roughly 0.43. That means even at 70% win rate your EV is basically zero. (0.70 × 0.43) − 0.30 = 0.001 You are grinding for fractions of a cent per trade while thinking you have an edge. Now look at what happens when you fix the entry price. Same 70% win rate, entry drops to 50c, payout multiplier jumps to 1.0. (0.70 × 1.0) − 0.30 = 0.40 EV per dollar. Same signal. Same win rate. Completely different business. This is why I keep saying win rate and entry price are one calculation not two. Your AI backtest never runs this math because it only looks at whether you won or lost. It does not care what you paid to enter. The fix is not finding a higher win rate signal, it almost never is. The fix is finding why your high win rate entries keep appearing at prices that make them unprofitable. That upstream reason is your real signal. Dig one layer deeper and build around that instead. I broke down the entry price math before and I broke down DCA before. But without understanding EV you are optimizing the wrong thing entirely. This logic is the only reason how my bot is sitting at $154k PnL. Public wallet: [ Run this formula on your last 100 live trades before you change a single line of signal logic. The answer is probably already there.

Punisher

11,034 次观看 • 3 个月前

If you think this is just another silly demo made with AI, read this post. You might change your mind, because this demo is about MATH. What you see on the screen is not a render from Blender (obviously, it’s not that good). It’s a three.js app built with Toolcraft. Available on the web and rendered in real time(link in the comments). But Blender still has a lot to do with it. Blender has Geometry Nodes - a powerful node-based system for creating and manipulating procedural geometry. In other words, it’s math. And math is a universal language. And who do you think is pretty good at math? >>> AI. Now you can download or buy Blender files from marketplaces, and when they contain Geometry Nodes for procedural animations, objects, surfaces, or effects, you can transfer that logic to the web. Make it real-time, make it interactive. Materials are a separate story, of course. They can still suck unless you use the right tricks: PBR, HDRIs, material blending, displacement, and faked surface relief. So why is Blender important here? Blender is open source, and many tools around it are open source too. An AI trained on their code. That means it can translate the math from one environment to another quite accurately. If you’ve been struggling to reproduce some idea with AI that you had in your head or seen in some references, and it has something to do with Geometry Nodes, and you can find that idea or a close one in the Blender ecosystem - it means you can transfer it to the web. Thank me later.

Alex Barashkov

28,300 次观看 • 2 个月前