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A lesson for every Polymarket bot developer: I built a strategy that looked perfect on paper. Backtested it. Looked like a winner. Almost went live. Then i actually measured real costs. Strategy was dead before the first trade. And this is what bot building on Polymarket actually looks like....

14,379 просмотров • 7 месяцев назад •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

11,044 просмотров • 5 месяцев назад

Bot powered by AI turned a deposit into a x4600. $50 → $230K on Polymarket in just two months. Right now, everyone on Polymarket is talking about this bot. And honestly, for a reason. The results it’s showing are way beyond what most people would consider realistic. The bot is fully focused on esports. Mainly League of Legends and Dota 2. And that actually makes sense. Esports are games. Games follow patterns, scenarios, logic. Much easier for a bot and AI to read than messy real-world events. So how does this even work? > The bot constantly monitors live esports broadcasts. > It does it insanely fast. Faster than the Polymarket market itself can react. The moment a kill happens, a team fight breaks out, or any key in-game event occurs, the bot instantly spots a mispricing. Sometimes just a few cents. But it gets there seconds before the market adjusts. That edge is enough. It profits purely from the spread. Yeah, it sounds almost too simple. I wouldn’t have believed it either. Not in real life. Not until I saw the bot’s actual Polymarket account with my own eyes. According to the profile: > I spent a long time thinking about how to make money the same way. For now, I decided to start by copy trading this bot. The key here is speed. You need a service that reacts just as fast. At the moment, Polycule is doing that job for me. I can recommend it. In 14 days, I made $2,800. > Just copy this bot. Exactly like I did. Copy trading is alive. So what do you think. Are Polymarket bots the future, or is this just another short-term hype wave?

igorizuchaetcrypty

20,429 просмотров • 10 месяцев назад

I built a custom TradingView indicator with Claude Code & Fable 5. It's called the Storm Gauge and is built off a real quant trading strategy. I open-sourced the full code on GitHub. Free to install, free to fork, yours to improve. Here's how to install a quant indicator on your TradingView chart: What it actually is The Storm Gauge is a live implementation of the GARCH model, a Nobel Prize-winning volatility framework that real quant desks run daily. It forecasts how "violent" tomorrow's market could be by combining three inputs: an asset's baseline volatility, yesterday's shock, and where volatility was already sitting before that shock happened. It doesn't predict market direction. Instead, it measures risk, in real time, on your actual chart. How to install it Method 1. Plugin command Open the GitHub repo: Find the installation section, copy the command, and paste it into Claude Code. It runs the plugin install automatically. Method 2. Manual config Open garchmethod.md in the repo, copy the entire file, and paste it into Claude Code. It fetches the skill files directly and verifies the strategy for you. (you only need one method; I'm just showing both) Getting it onto your TradingView chart Inside the repo, there's a Pine Script folder. Open it, copy the entire file. Go into TradingView's Pine Editor, paste it in, hit Enter, and refresh. That's it. The Storm Gauge now runs live on your chart as a real number. Once it's installed, just talk to it: → "What's the volatility forecast on Bitcoin?" → "Explain what the current volatility forecast means on $BTC and how it should impact my position sizing" → "Help me size my S&P500 position according to current market volatility" Does it actually work? I backtested the same EMA cross strategy two ways across 15 years of BTC data. Same entries, same exits. → Fixed position sizing: $17,957 final equity → Storm Gauge (GARCH) sizing: $21,205 final equity Fewer drawdowns, less risk, better result. Full breakdown of the entire build process in my recent article - pinned on my profile.

Miles Deutscher

56,625 просмотров • 3 месяцев назад

Last night I asked Claude Code to build me a simple script: pull on-chain data from Polymarket and sort wallets by win rate Nothing ambitious. Just wanted to see who is actually making money on 15-minute BTC markets The terminal finished in about 20 minutes. Hundreds of addresses, columns of numbers, nothing interesting And then 1 wallet caught my eye 200+ trades per day, consistent profit every week, almost surgical timing precision. I reread the line 3 times. A real person does not trade like this I fed the address back into Claude Code and asked it to break down the pattern. Half an hour later I had a full strategy reconstruction on my screen The bot (and it is definitely a bot) pings Binance and Bybit every 100ms monitoring volatility compression on BTC. When it drops below 0.08% it enters Up and Down contracts simultaneously at 25 to 35 cents each. A pure straddle. 1 side burns, the other flies to a dollar. At a 30-cent entry that is 3 to 4x per position And so it goes in circles. Dozens of times a day I sat there staring at it for about 10 minutes $13K to $25K in daily profit from a single wallet. Not a trader with intuition, not an insider with information. An algorithm that found a hole in market mechanics and methodically milks it You can check the trade history yourself: After that I went looking for whether anyone else is tracking this wallet. Turns out yes. Found a Telegram bot that tracks wallets like this and copies their trades automatically I connected it to the same address just to see if the entries would match what my terminal was showing. Matched perfectly Still testing on minimum amounts for now: But the fact that you can stand next to an algorithm like this in real time is something that simply did not exist a year ago

Blaze

488,862 просмотров • 8 месяцев назад