I fact-checked 5 viral "my AI bot made money" posts against primary data. None survived.

说明与用途

作者通过原始数据验证了五个病毒式AI交易机器人盈利声明，并提供了可重复的验证框架和可靠的替代策略。

问题

Viral claims of AI bots generating large profits from small investments are often unverified and misleading.

结果

All five viral posts were found to lack verifiable evidence, had unrealistic fee structures, or were impossible to execute. The author demonstrated a repeatable verification framework and offered a proven, low‑risk trend‑following strategy as an alternative.

工作流

• 1. Identify the claim and gather the post details.
• 2. Check for verifiable evidence such as a public wallet or trade history.
• 3. Verify any referral links or paid group offers.
• 4. Calculate if the starting balance can place at least one trade given stated fees.
• 5. Assess if the implied daily return is realistic and repeatable.
• 6. Cross‑check on-chain pool data, fee schedules, and official project sites.
• 7. Document findings and publish a transparent analysis.

证据

All three profit‑claim posts fail on points 1 and 2 alone.

The post links a trading app referral twice. That app's referral programme pays the referrer up to 25% of referees' trading fees.

Dry‑run mode, the real model, 143,535 fills: realised PnL of about minus $144, which the dashboard shows as minus 299% of its reference capital.