hi
2.3K posts
> see how every random dude printing $100k on Polymarket with trading bots
> you decide it’s your turn to build one
> think you gotta quit your job, hire a squad, pay salaries and go full-time slave mode
> you don’t need any of that stuff anymore
> all you need is to learn how to properly direct AI tools like a boss
> GPT-5-nano for research and strategy backtesting
> Qwen 2.5 within Mirofish for multi-scenario market simulations
> Codex + Opus 4.6 to create an MVP solution based on the work of the previous tools
> boom - you just replaced a whole 5-10 person team of degreed engineers
slash1s@slash1sol
I JUST FOUND ONE OF THE MOST MIND-BENDING SOLO DEV STORIES IN THE QUANT SPACE RIGHT NOW. One dev built a fully autonomous trading bot for Polymarket optimized for micro bankrolls ($100-$500) using GPT-5-nano inside AutoResearchClaw, Qwen 2.5 inside MiroFish, and Opus 4.6 + Codex pipelines inside Antigravity. The craziest detail: the final bot runs with zero AI under the hood. It’s pure mathematics. No models, no prompts - just hard-coded logic engineered to sit in the order book 24/7 and harvest tiny spreads and inefficiencies created by other traders. He calls the architecture PICO - a solo-operator framework for small-budget prediction market trading. Here’s how he actually built it: -> Research stage: fed the basic idea into open-source AutoResearchClaw with GPT-5-nano. It produced a full academic-grade paper from scratch, complete with risk management, slippage modeling, backtesting realities, and protection against emotional trading. -> Validation: ran massive multi-agent simulations in MiroFish with Qwen 2.5. Market makers, informed whales, momentum players, noise traders and the bot itself interacted in realistic Polymarket conditions. The system proved consistent small profits under brutal real-world stress. -> Implementation: fed the finished paper plus simulation results to heavy Codex + Opus 4.6 pipelines in Antigravity. They output clean, production-ready bot code. The bot doesn’t try to predict events. It’s a relentless harvester of dust on spreads and other participants’ mistakes. Full PICO paper: drive.google.com/file/d/1dRjNNT… AutoResearchClaw framework (the exact open-source tool used for the research stage): x.com/slash1sol/stat… I’m honestly starting to feel myself dissolve watching this new reality. With nothing but a laptop and internet, the barrier to building sophisticated, validated quant systems has basically collapsed. Save this if you’re into AI-augmented building - the entire pipeline is pure template material.
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yep definitely not smart enough.
i'll stick with @Cod3xOrg
slash1s@slash1sol
I JUST FOUND ONE OF THE MOST MIND-BENDING SOLO DEV STORIES IN THE QUANT SPACE RIGHT NOW. One dev built a fully autonomous trading bot for Polymarket optimized for micro bankrolls ($100-$500) using GPT-5-nano inside AutoResearchClaw, Qwen 2.5 inside MiroFish, and Opus 4.6 + Codex pipelines inside Antigravity. The craziest detail: the final bot runs with zero AI under the hood. It’s pure mathematics. No models, no prompts - just hard-coded logic engineered to sit in the order book 24/7 and harvest tiny spreads and inefficiencies created by other traders. He calls the architecture PICO - a solo-operator framework for small-budget prediction market trading. Here’s how he actually built it: -> Research stage: fed the basic idea into open-source AutoResearchClaw with GPT-5-nano. It produced a full academic-grade paper from scratch, complete with risk management, slippage modeling, backtesting realities, and protection against emotional trading. -> Validation: ran massive multi-agent simulations in MiroFish with Qwen 2.5. Market makers, informed whales, momentum players, noise traders and the bot itself interacted in realistic Polymarket conditions. The system proved consistent small profits under brutal real-world stress. -> Implementation: fed the finished paper plus simulation results to heavy Codex + Opus 4.6 pipelines in Antigravity. They output clean, production-ready bot code. The bot doesn’t try to predict events. It’s a relentless harvester of dust on spreads and other participants’ mistakes. Full PICO paper: drive.google.com/file/d/1dRjNNT… AutoResearchClaw framework (the exact open-source tool used for the research stage): x.com/slash1sol/stat… I’m honestly starting to feel myself dissolve watching this new reality. With nothing but a laptop and internet, the barrier to building sophisticated, validated quant systems has basically collapsed. Save this if you’re into AI-augmented building - the entire pipeline is pure template material.
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crazy how PokemonGo
wasn’t just a game. It was a data flywheel.
30B images → world model. Now imagine that, but for financial decisions.
x.com/Newsforce/stat…
NewsForce@Newsforce
POKÉMON GO PLAYERS TRAINED 30 BILLION IMAGE AI MAP Niantic says photos and scans collected through Pokémon Go and its AR apps have produced a massive dataset of more than 30 billion real-world images. The company is now using that data to power visual navigation for delivery robots, letting them identify exact locations on city streets without relying on GPS. Source: NewsForce
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crazy how @PokemonGoApp wasn’t just a game.
It was a data flywheel.
30B images → world model.
Now imagine that, but for financial decisions.
That’s where things get interesting.
x.com/Newsforce/stat…
#AIFI #defi #cryptoAI
NewsForce@Newsforce
POKÉMON GO PLAYERS TRAINED 30 BILLION IMAGE AI MAP Niantic says photos and scans collected through Pokémon Go and its AR apps have produced a massive dataset of more than 30 billion real-world images. The company is now using that data to power visual navigation for delivery robots, letting them identify exact locations on city streets without relying on GPS. Source: NewsForce
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hi รีทวีตแล้ว
Become an elite trader in 30 minutes using this one trick. 👇
Steven Vinyl@StevenVinyl
> be decent trader > know what you're doing, still glued to charts at 2am > miss a signal because you fell asleep > wake up. ETH already moved. again. > find Cod3x > spend a weekend building an automated trading task instead of watching candles > go to sleep wake up to a trade you didn't place > check the log. 11 steps. every decision documented > it even adapted when the math didn't work out > +12.32% > build another task. then another > stop setting alarms > the market runs 24/7 now > you live life
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