The post Top Analyst Lets Claude AI Run His $80,000 Altcoin Portfolio After Losing Half His Investment appeared first on Coinpedia Fintech News
Crypto analyst Michaël van de Poppe’s altcoin portfolio sits at $80,000, down from the $160,000 he originally invested. This week he made one change he believes will fundamentally improve his long-term returns. He handed trade decision authority to an AI.
Van de Poppe has integrated Claude as a full-time sparring partner for every position in his altcoin portfolio, building a custom framework around sigma deviations, RSI triggers, and Bitcoin correlation analysis that generates specific buy and sell signals rather than general market commentary.
Where the AI Already Overruled Him
The most revealing moment came when Van de Poppe wanted to sell a position and Claude told him to wait.
The AI analysed the framework, reviewed the charts, and concluded the asset had not yet reached the exit zone. Van de Poppe held. He admitted it felt uncomfortable sitting on a 41% portfolio allocation into a single asset while the AI was saying do nothing.
“It clearly says it starts to get into a run at this point. There are still a lot of levels to go before we can start selling,” the framework indicated on his NEAR position, with the exit zone set between €1.75 and €1.85 before any trimming begins.
The Trades He Did Make
Van de Poppe sold Renzo at 7 cents, which he described as a good trade. He then rotated those proceeds into Wormhole, which he acknowledged was a mistake as Bitcoin pulled back and altcoin volatility amplified the move lower.
He also sold $500 of PEAK after the sigma extension and RSI hit overbought levels on the daily chart, the same technical setup that preceded a 30% correction in three days during a prior cycle.
Why He Is Building This
Van de Poppe has experienced 70% to 80% portfolio drawdowns over the past year and a half by trading emotionally through volatile altcoin cycles. His conclusion was that most trading mistakes are emotional. AI has no emotions.
He is now building a Telegram-connected dashboard that will send automated buy and sell signals when the framework triggers, removing the need for manual intervention entirely.
