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Ogle
2026-10-04 05:55:09

WLFI advisor Ogle on trading discipline, LIT losses, and turning a six-figure wallet into on-chain gains

In episode 69 of the HODLong podcast, WLFI advisor Ogle laid out the thinking behind his trading framework, tracing it from a childhood habit of buying and reselling school supplies to a recent crypto run that, by his account, turned a little more than six figures into $15 million to $20 million in publicly visible gains by autumn. The conversation was not framed as a victory lap. It opened with a loss: Ogle said he lost several million dollars in 10 to 15 minutes after Robinhood’s annual summit failed to mention Lighter, even though he had built his largest position around that possibility. He said his oversized LIT position rested on two equally weighted reasons: Lighter’s founder had ties to Robinhood CEO Vlad Tenev, and that same founder also sat on the U.S. Commodity Futures Trading Commission’s innovation advisory committee. When the first part of that thesis broke, he cut the position exactly in half. Across the interview, Ogle returned to a few rules that shape how he trades: get off the train if it is going to the wrong destination, ignore whether a position is up or down and ask whether you would still buy it in cash today, size positions so you can sleep, and keep looking for evidence that disproves your thesis. He also discussed how he screened projects in this cycle, why buyback-and-burn token models mattered to him, why he chose Lighter over Hyperliquid for asymmetric upside, how he viewed LayerZero, Ethena and Pons through the same lens, and why social trading app FOMO made him act in ways he believes made him a worse trader.

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WLFI advisor Ogle on trading discipline, LIT losses, and turning a six-figure wallet into on-chain gains
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Fintech
2026-10-02 10:24:20

After Fintech: AI Tokens, Value Tokens and Agents Are Redrawing Financial Services

Simon Taylor, founder of Fintech Brainfood, argues that the engines that once defined fintech — cloud infrastructure, mobile-first distribution and API-led banking — are no longer the main source of change in financial services. In his view, the next cycle is being shaped by two kinds of tokens and a new kind of customer: intelligent tokens used by AI models to process information, value tokens that represent money or assets onchain, and agents that can hold permissions, budgets and wallets to act on behalf of users. The article breaks finance into three core layers: decision-making, record-keeping and service distribution. Taylor says all three are shifting at once. Loan and fraud decisions are moving from spreadsheets and rule systems toward foundation models and agent workflows. Financial records are moving from internal databases toward tokenized assets and shared ledgers. Distribution is moving beyond apps and websites toward agent-driven access, where software directly invokes financial products instead of waiting for people to tap buttons. He points to recent moves by Stripe, Ramp, Revolut, Nubank, Figure and Robinhood as evidence that this transition is already underway. His conclusion is blunt: fintech as a standalone investment category has run its course because its defining ideas have become standard industry practice. The next trillion-dollar financial company built on modern technology, he argues, is likely to be centered on AI and tokens.

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After Fintech: AI Tokens, Value Tokens and Agents Are Redrawing Financial Services
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