m|i|ster's banner
m|i|ster's profile picture

m|i|ster

@MisterNoComents2,837 subscribers

News Hunter | Prediction Markets | @zscdao your search makes you money🦈

Videos

MisterNoComents's profile picture

🚨 Imagine: buying at 48-68¢ and selling at 100¢. Again. And again. And again. Result: $80k+ in a week without a single emotion. Trader Hcrystallash just surpassed $106,324.71 in total lifetime profit, making over 10,605 automated predictions. It's not luck. It's structural alpha. He created a custom parser that feeds real-time market tick data into a probability matrix driven by 0xomega and Hilbert to mathematically estimate 5-minute noise. The strategy is based on a pure, clinical mean reversion system. No guesswork. Here's the exact logic the bot executes: ⚙️ Main Stack: VWAP + RSI(14) + ATR + Volume + MACD The bot intentionally avoids breakouts and ignores midband fluctuations. It operates strictly under the assumption that a low ATR is required to confirm price compression before any trading strategy can be validated. 🔴 Trigger for a short position (DOWN): • Price is covered by a perfectly flat VWAP • RSI(14) shows overbought conditions • Buying volume is decreasing • Confirmation: MACD divergence (price makes a higher high, MACD makes a lower high) 🟢 Trigger for a long position (UP): • Price is covered by the VWAP • RSI(14) shows oversold conditions • Weak selling volume (sellers are exhausted) • Confirmation: MACD divergence (price makes a lower low, MACD makes a higher low) ⚠️ Note about MACD: The bot is programmed to strictly ignore regular MACD crossovers. It trades only on divergences. Once these conditions are met, the parser feeds the data into the 0xomega and Hilbert models to calculate the true mathematical probability of mean reversion before executing the position. Look at the feed. They buy at 48-68 cents and wait for the price to stabilize at 100 cents. Over and over again. This isn't theory, it's real-time execution with confirmed results. Hcrystallash is making money, while most are overtrading on the noise. Copy trading here:

m|i|ster

69,926 Aufrufe • vor 3 Monaten

MisterNoComents's profile picture

A Chinese trader known as "gatorr" made $1,934,731.20 on NBA markets by simulating thousands of autonomous AI agents. While researchers use a demo version of MiroFish to test macroeconomic policies, gatorr has turned the repository into an enhanced MiroFish terminal to hack the sports betting market. Here's an alpha version demonstrating how gatorr's tech stack actually works: The enhanced MiroFish terminal is a next-generation AI-powered prediction system powered by multi-agent technology. By extracting information from the real world, the system automatically creates a highly accurate parallel digital world. The real advantage lies in the execution layer of the architecture: 1. Information and Odds Aggregation: The terminal quickly searches for injury information in real time and aggregates underlying odds from various top quantitative AI models. 2. Size and Execution: By matching simulated agent swarm win probabilities with aggregated bookmaker odds, the enhanced MiroFish terminal provides actionable insights and optimizes bet sizing using dynamic Kelly Criterion formulas. Thousands of agents interacting in over 40 simulation rounds on powerful LLM systems creates incredibly aggressive API token burn. When you combine the enormous computational costs with strict liquidity constraints in betting markets that limit bet sizes based on the Kelly Criterion, scaling beyond $2 million becomes a serious bottleneck. The meta has officially changed. If you're not using multi-agent swarm forecasts for your edge device for 2026, you're not trading --> you're just liquidity.

m|i|ster

38,048 Aufrufe • vor 4 Monaten

Keine weiteren Inhalte verfügbar