고정된 트윗
Aleiah
22.1K posts
Aleiah 리트윗함
$78,000 profit trading THE WEATHER
The weather. Temperature forecasts. That's it.
This bot ColdMath has been silently printing money since November 2025 and almost nobody is talking about it
Here's the full breakdown
> Win rate: 80%
> Net PnL: +$78,141
> Predictions made: 3,788
The strategy:
Polymarket lists daily markets like "Will Chicago hit 54°F on March 11?"
Most traders scroll past. The pricing is lazy.
But weather forecasts at 1-3 days are 85-95% accurate. Public data. Free.
ColdMath buys YES at 0.1¢ when forecasts say near-certain.
One trade: 24,880 YES at 0.1¢ on Chicago 54°F.
Cost: $24.88 → Payout: $12,398
Return: 49,733%
Also buys NO at 96-99¢ on temperatures that obviously won't happen. Small margin, near-zero risk, huge volume.
Check the full profile: @ColdMath?via=sales" target="_blank" rel="nofollow noopener">polymarket.com/@ColdMath?via=…
New markets every day. The edge regenerates every 24 hours.
This bot farms 49,000% returns by reading a weather forecast.
The alpha was on your phone the entire time.
Hrundel75 🐷@Hrundel75
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Aleiah 리트윗함
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> worked 9-5
> felt life going wrong way
> went unemployed
> fell into despair
> asked Claude how to become finally free
> Claude gave 3 ways to build great wealth fast
> locked into the process for 2 months
> built working ai agents systems
> started getting first profits
> realization
> I don't need to work anymore
> finally free
Hrundel75 🐷@Hrundel75
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→ 2024: "ai is just a fad, real content wins"
→ spend 3 hours writing threads nobody reads
→ 12 likes from the same 12 people
→ keep doing it for months
→ meanwhile some kid with 800 followers
→ finds a format the algorithm loves
→ movie clip. one sentence. quote tweet
→ first post: 90k views
→ does it again next day. 200k
→ again. 500k
→ three months later he's making more than you make in a year
→ you still think it's about writing better content
→ it was never about the content
→ it was about knowing what the algorithm wants before everyone else
→ there's an agent that knows it every morning
→ you just have to read what it says
Phosphen@phosphenq
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While all this quants in the timeline are printing millions with AI, you’re still lost in simulation models and deep research agents.
Don’t worry - I found solution for you. 18k stars on GitHub. Your own financial analyst right in your pocket.
An autonomous financial research agent that thinks, plans, and learns as it works - Dexter.
> 2-command install, 30 seconds to set up
> full Claude skill set + agentic search APIs
> real-time market data straight from financial datasets MCP Server
> text it on WhatsApp for research if u want (financial Jarvis living in your phone)
Just paste GitHub link into ChatGPT/Claude/Grok or any other LLM and it will walk you through the two-click install.
Everything else is handled by Dexter.
It performs analysis using task planning, self-reflection, and real-time market data.
Code is 100% open source and available on GitHub:
github.com/virattt/dexter
Save this post so you don't lose the links.
cvxv666@antpalkin
Chinese quant built a simulation of how SPX price reacts to any global event. He’s already made over $100k - with full blockchain proof. He knows exactly where price will go. More than 40 years of SPX trading history have been loaded into MiroFish simulator (18k stars on GitHub) AI analyzed every single moment in that trading history. Now this guy has a fully functional SPX price prediction system. His wallet: @moisturizer?via=cvxv666" target="_blank" rel="nofollow noopener">polymarket.com/@moisturizer?v…
Dozens of successful SPX price-prediction trades and hundreds of tests across other stock markets. Here’s exactly what you need to replicate his stack: - market data APIs (SPX price, use Alpha Vantage or Quandl) - data pipeline (use Python) - feature engineering (for output signals like RSI, MACD) - seed dataset for MiroFish (convert data into structured context) - multi-agent simulation (macro strategist, earnings analyst, sentiment analyst agents etc.) - probability forecast (run different scenarios) - trading / decision Model (SPX futures ES, SPY ETF) Save this pipeline if you want to run a similar simulation on your own data. You can feed the whole thing to your Claude and build your first (even small) simulation model together. English
this user built a bot after Composer 2 dropped and made $18,227 in a single day trading 5-minute markets
@mmnbbcvbb33?via=999" target="_blank" rel="nofollow noopener">polymarket.com/@mmnbbcvbb33?v…
what Composer 2 did:
→ generated a scraper to collect data from prediction markets
→ wrote a hedging strategy based on cross-market correlations
→ automated entry/exit on positions
→ all in one prompt, one file, one run
the guy didn't get smarter than the market
he just let AI write a bot that's faster than the market
Cursor@cursor_ai
Composer 2 is now available in Cursor.
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AI JUST PASSED THE ULTIMATE WHITE-COLLAR TEST… AND BEAT HUMANS.
75.0% vs. 72.4%.
That’s not some sci-fi benchmark.
That’s GPT-5.4 on OSWorld -the real-world test where AI has to open apps, fill forms, navigate browsers, send emails, and run your actual desktop job.
Human experts? 72.4%.
A language model you already use? 75%.
And it happened in 3 months. Not 3 years.
This isn’t “AI is getting better.”
This is the phase shift nobody’s talking about.
Right now GPT-5.4 is:
•Scraping 50 supplier sites and building spreadsheets while you grab coffee
•Auto-filling tax portals with 95-100% first-try accuracy
•Crushing legal docs (91%), financial models (87%), slide decks, and full professional workflows
CEOs at Microsoft, Anthropic, and Ford are straight-up saying it:
50% of entry-level white-collar jobs? Gone in 1-5 years.
The “safe” office jobs your parents told you to get? They’re now the most exposed.
The math nobody wants to hear:
One $2,000 machine could soon do your entire job better than you.
Not assist. Replace.
The calm before the storm is ending.
The gap between “AI can” and “AI does” is closing FAST.
Your move (right now):
•Master the tools before they master you
•Double down on what AI still can’t touch: judgment, taste, relationships, strategy
•Stop betting your future on a degree -start betting on adaptation
The machine already passed the test.
GIF
darkzodchi@zodchiii
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the way my portfolio looks at me now after one weekend with MiroFish swarm
> 2 years heemed on Polymarket
> Chinese undergrad drops AI swarm
> now printing like quants with the full matrix and real-time alerts from polyalerthub.com/?via=slash1a486
retail cooked.
slash1s@slash1sol
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. English
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Insider on the Hungarian elections
I found a wallet that bought over $650,000 worth of shares betting that Peter Magyar will become the next Prime Minister of Hungary.
You might say it’s just a whale aping into the election market.
But why would a whale enter the same market from three different accounts?
First - those accounts had no prior activity. Completely inactive until this moment.
Second - he bought in at market with large size.
Regular prediction market traders usually place limit orders to avoid getting wrecked on the spread.
Third - all three accounts were funded from the same wallet, using the same Solana network.
Also, the accounts were clearly prepped in advance:
> one registered 6 months ago
> another 2 months ago
> the third just 2 weeks ago
And they all follow the same behavior and markets.
Right now, his total PnL across the three accounts is +$60,000 in just a couple of weeks.
I’m pretty convinced this is an insider with access to real info inside Hungary - I don’t buy the coincidence narrative.
Btw, across all his accounts he’s sitting on $2,000,000+ total balance, so it looks like he’s getting ready to size up his position.
Below are all the wallets so you can DYOR:
Funding wallet:
9ZmPJRkjmpmYT9qbZjqgTKEcZBJj8WVL1ukDu7TdJNoo
Trading wallets:
1.ares.pro/wallets/0x0a59…
2.ares.pro/wallets/0x4b28…
3.ares.pro/wallets/0x0a59…
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I MAKE $600 A DAY IN PASSIVE INCOME THANKS TO THESE TRADERS.
Copy trade best bonding traders.
Those guys have a 97%-99% Win Rate.
The reason?
They buy options near 99% before the resolution.
So by mirroring them you can simply enjoy your +100-300% APY without worrying about bad trader decisions.
Here's the list of best wallets to follow:
1. Sharky6999
PnL - $571,785
Win Rate - 99.3%
He trades bonding crypto markets in the 97-99c range right before resolution, so the outcome is guaranteed.
Wallet address and copytrading :
ares.pro/wallets/0x751a…
2. 033033033
PnL - $139,582
Win Rate - 99.6%
Also trades bonding markets in the 99-100c range before resolution.
Wallet address and copytrading :
ares.pro/wallets/0xd1c7…
3. ForesightOracle
PnL - $236,476
Win Rate - 94.7% (lost a few bets before he started bonding)
He buys risk-free outcomes between 98% and 99% before resolution.
Wallet address and copytrading :
ares.pro/wallets/0x7072…
4.hgjghjh85
PnL - $165,685
Win Rate - 97.5%
The same strategy as in previous traders
Wallet address and copytrading :
ares.pro/wallets/0x3e9d…
AdiiX@adiix_official
HOW TO COPY WEATHER TRADING BOTS ON POLYMARKET WITHOUT CODING Video setup, tools, and bonus wallet below I personally follow this system and earn $1,000 per week Three secrets to success in copytrading: -React faster than everyone -The right foundation -Choosing a good portfolio This guide will cover all of them How to set it up right: - Go to Ares: ares.pro/invite/adiix - Search for the wallet address you want to follow, for example, a wallet on the video [0x331bf91c132af9d921e1908ca0979363fc47193f] - Click on Copy Trade button - Go to advanced settings and customize them for yourself The best wallet bets from videos that you can copy : -$6 -> $2,900 (%49,750) -$40 -> $1,871 (%4,600) -$78 -> $1,660 (%2,040) Copy trading with the right wallets and the right instruments @arespro
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update: Polymarket changed rules about Netanyahu market
every day hot news about AI videos and fake info, that's crazy moves
what about new rules?
this market resolves YES if Benjamin Netanyahu stops serving as Israel's Prime Minister at any period of time
i can turn $279 to $6,700 if Netanyahu out by March 31
market link pro.fireplace.gg/market/34051?i…
just dyor, but that's good risk reward i think
Valentin@martynov014
i can make x22 if Netanyahu out by March 31 $250 -> $5,600 if it will happen this month i bought it because some hype news about his death and also i found "insider" by @fireplacegg he has only 2 predicts and they're all about Netanyahu's departure this trader can earn $4,000,000 if he out this month insider or stupid trader?
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This guy turned $3k into $60K on NVIDIA
While Wall Street was busy arguing about NVIDIA's valuation - one trader was making up his mind on polymarket.
His conclusion: NVIDIA would be the most valuable company on Earth.
He was right. Every. Single. Time.
> Entry price: 3-4 cents
> One trade alone: +8,073%
> Total NVIDIA PnL: $60,000+
Full profile breakdown:
@rated?via=sales" target="_blank" rel="nofollow noopener">polymarket.com/@rated?via=sal…
But here's what makes it insane - NVIDIA was just his side hustle.
His main game? Politics.
+$160,000 from political markets.
+$67,000 on a single election call.
68.8% win rate across 9,406 predictions.
$47,000 turned into $300,000.
This is what happens when someone understands geopolitics AND corporate fundamentals better than the entire market does.
BuBBliK@k1rallik
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this framing stuck with me:
the real cost of ai mistakes usually isn’t the weak first output
it’s the retry loop that starts after
built a quick terminal around that idea to visualize how vague prompts, missing context,
and weak iteration compound over time
> the numbers get ugly fast
bad prompts don’t just waste tokens
they quietly burn hours
may.crypto {🦅}@xmayeth
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markets don't repeat - regimes do
stable regimes keep prices consistent
during transitions the market loses coherence and arbitrage appears
on Polymarket this was worth $40m in one year
41% of contracts had arbitrage opportunities
60 cents on the dollar
hurry up and make your prediction -> @sopersone" target="_blank" rel="nofollow noopener">kreo.app/@sopersone
ramper@ramperxx
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Don’t Fade AI: How One Trader Turned $100 → $13.9K in a Week on Polymarket Using MiroFish
Just read an absolute banger thread - basically a full playbook worth bookmarking/saving as PDF.
Guy combined MiroFish (the hot new open-source AI swarm simulator) with Polymarket and 140x’d his stack in just 7 days. From $100 to ~$13,900.
Core idea: Stop asking ChatGPT “what’s the probability?” like a normie.
Instead, run thousands of independent AI agents (1,000–5,000+) that act like a mini society:
•form opinions
•react to news in real time
•argue, influence each other
•shift beliefs dynamically
After interactions, a natural consensus probability emerges - just like real crowd/market behavior.
Compare that swarm probability vs. current Polymarket odds → spot 8–15%+ gaps (after fees) → enter the trade.
Biggest edges right now:
> News events - agents reprice in minutes while humans panic/FOMO
> Low-liquidity/niche markets - politics, obscure crypto narratives, regional events where price discovery is slow and inefficient
He stresses: this isn’t magic or “infinite money glitch.”
•Simulations have noise
•Execution slippage + fees eat edge
•Markets will adapt as more people pile in
But right now? Early adopters are printing because most traders still don’t even know what AI swarms are.
Classic cycle: new tech drops → first movers capture alpha before it gets arbitraged away.
Thread is gold -read the full breakdown here:
Punisher@0x_Punisher
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