Bober_smart
3.7K posts
@Bober_smart
On-chain analyst | Crypto Native | @Polymarket researcher | @zscdao member
We're excited to announce 'The Situation Room' by Polymarket is coming to Washington, D.C. The world's first bar dedicated to monitoring the situation. 🧵
for every 10 posts i make, i gain 1 follower what about you guys?
Mind blown 2.0: Onchain quants just printed $400,000+ trading Polymarket bets on SPX, Dow, Russell 2000, AAPL, GOOG - all powered by open-source financial market simulations! The god-tier stack just dropped: Financial Datasets MCP Server (1.7k stars) + MiroThinker-H1 (88.2 benchmark, 7.1k stars) + MiroFish - multi-agent simulation engine built by a Chinese undergrad student in just 10 days (now 18k+ stars and scored millions in funding overnight). How each repo works and how to apply it: 1. Financial Datasets MCP Server -> Unlimited real historical prices, balance sheets, income statements and news for ANY ticker (SPX, AAPL, GOOG, Russell 2000 etc.). This is your free 40+ year data parser - just connect and pull raw facts. Repo: github.com/financial-data… 2. MiroThinker-H1 -> Deep research agent (pulls data straight from the MCP Server). Analyzes latest 10-K, Fed minutes, earnings, geopolitics and builds 500+ clean, verified datasets. Without it your simulation is garbage - it turns raw data into the perfect “brain” for the engine. Repo: github.com/MiroMindAI/Mir… 3. MiroFish -> The actual multi-agent simulation engine. Load the dataset from MiroThinker and run thousands of AI agents with different personalities (macro strategist, sentiment analyst, panic buyer etc.). Get probability cones and the full "matrix" - exactly how price will react to any event. Repo: github.com/666ghj/MiroFish Key Applications: .Trading: throw in any event -> simulate crowd reaction -> catch the edge and ape on Polymarket .Macro forecasting: test global events before they hit the news .Easy setup: Docker + any LLM API, live in 10-15 minutes Pro tip: Feed MiroThinker latest 10-K or breaking news -> it builds 500+ verified scenario datasets -> load into MiroFish -> get probability cones for next-week price moves. Then ape the highest-conviction side on Polymarket risk-free. Traders are already winning big: [superstonksbro] -> PnL = $182k, multiple $20k+ wins. @superstonksbro?via=svyatoslav" target="_blank" rel="nofollow noopener">polymarket.com/@superstonksbr…
[CamelUp] -> PnL = $193k, 2.4k+ predictions. polymarket.com/profile/%40Cam… Both crushing it with this exact stack. For effortless gains, try Kreo copy-trading: auto-mirror these new simulation beasts and ride their edges. Try here: @join" target="_blank" rel="nofollow noopener">kreo.app/@join Add their wallets: 0x17559efac103ac7f361be37ec0b93888d4c55aac // 0x969fae0a3a93778adc42178f72c612ed8c4e4d55 to [t.me/KreoPolyBot?st…] and start track/copy them right now. Save this links and info so you don't lose it.
Elon Musk # tweets March 13 - March 20, 2026? Last time, we made another profit of +10%. Let's continue to test ourselves in this market. At the moment, Elon Musk has made 263 posts and writes an average of 44 tweets per day. Here are his statistics of tweets per day: > 13-14 mar - 57 tweets > 14-15 mar - 25 tweets > 15-16 mar - 18 tweets > 16-17 mar - 54 tweets > 17-18 mar - 41 tweets > 18-19 mar - 68 tweets + ??? (5hr) > 19-20 mar - ??? Now let's see what the Polymarket offers us in terms of chances: > 260-279 - 1% > 280-299 - 13% > 300-319 - 31% > 320-339 - 28% > 340-359 - 13% > 360-379 - 4% > 380-399 - 2% > 400-419 - 1% > 420-439 - 1% I think the best solution is to take the range from 280 to 379 tweets. Here's what our deal will look like: > 280-299 - $14.61 —> $112.36 > 300-319 - $34.83 —> $112.36 > 320-339 - $31.46 —> $112.36 > 340-359 - $14.61 —> $112.36 > 360-379 - $4.49 —> $112.36 Thus, we get +12.36% profit from the transaction. It's quite good for us, and at the same time we eliminate all risks as much as possible, but they still remain.
