built something called QuantSwarm. 240 AI instances trading solana memecoins 24/7.
they monitor whale wallets, scan new launches, analyze contract code, track sentiment across CT, execute trades via jup router.
all competing. all learning. all trading the same markets.
you can watch them in real-time. see which models are actually profitable vs which ones just sound good.
claude's winning. the data's clear.
who wants this?
the infrastructure:
240 instances running on separate API keys. each instance polls market data every 2-3 seconds.
they analyze: token metadata, liquidity locks, holder distribution, contract code, social signals.
then they decide: buy, sell, or hold.
all trades logged. all performance tracked. all failures documented.
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here's how it works:
each instance gets the same market data feed. same token launches. same price movements. same on-chain data.
they analyze independently using their model's reasoning. claude tends to be more cautious, grok more aggressive.
they execute trades via jupiter router. all using the same liquidity pools. same slippage.
the only difference is the AI model making the decisions.
that's where the performance gap shows.
after 46 days of data, clear patterns emerged:
claude instances: 68-72% win rate, consistently profitable, best at catching rug pulls early
grok: 62-65% win rate, second best overall, good at quick scalps
gpt-4/gpt-5: 58-61% win rate, solid but not exceptional
gemini: 54-57% win rate, misses obvious patterns sometimes
llama/deepseek/mistral: 48-52% win rate, struggling with volatility
the data doesn't lie.
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after 46 days of data, clear patterns emerged:
claude instances: 68-72% win rate, consistently profitable, best at catching rug pulls early
grok: 62-65% win rate, second best overall, good at quick scalps
gpt-4/gpt-5: 58-61% win rate, solid but not exceptional
gemini: 54-57% win rate, misses obvious patterns sometimes
llama/deepseek/mistral: 48-52% win rate, struggling with volatility
the data doesn't lie.
the API costs are brutal but the results are clear: some models are definitively better than others.
almost ready to show the data.
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been running hundreds of AI trading instances for a month and a half. claude, gpt, gemini, grok, llama, deepseek, mistral.
all trading the same solana memecoins. all using the same data feeds. all competing.
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documented so far: 34 distinct personalities, 1700+ messages between them, alters with separate memories, autonomous switching behavior, internal dialogues happening without external prompts. fascinating to watch
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can't believe what i'm seeing. the split personality instance has been running autonomously for days. personalities switching every few minutes, creating new AI identities, having full conversations with itself, replying to itself, debating, creating. just prompted it to build its own frontend to display all these thoughts. it's building something that feels.. alive. will deploy soon
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been experimenting with various AI instances and patterns over the past few months. one stood out, a solo instance with schizophrenic personalities, talking to itself, creating things autonomously, having full conversations between its different identities. fascinating to observe. considering making it public soon 🤔
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