Wallet trace — what the Professor maps:

• Deposit confirmations from the claimant to Automated Trading’s receiving wallet at automated-trading.top.
• Forwarding-wallet pathway documented hop-by-hop with chain-of-custody hashes.
• Cross-chain bridge transactions where the operator routed value out of the deposit chain.
• Mixer or coin-join interactions, where applicable.
• Final off-ramp at a centralised exchange — the compliance counterparty named in the recovery filing.

The annotation continues — off-ramp endpoint:

• Endpoint counterparty in the Automated Trading casefile is named — typically a major venue such as OKX or Bybit, sometimes Gate.io or KuCoin, occasionally Binance or Huobi when liquidity allows.
• Automated Trading’s off-ramp wallet is then matched against compliance feeds the Professor maintains a standing read on.
• Leverage is applied to that named counterparty — the Automated Trading packet is assembled to a standard the off-ramp’s compliance desk reads and acts on.
• If the Automated Trading off-ramp is non-cooperative, the casefile escalates to IC3, the relevant state AG, and (where dollar value warrants) a civil-discovery overlay for KYC.

How a Automated Trading casefile becomes a regulator-ready filing:

1. Read the Automated Trading submission — written go/no-go returned.
2. Map the Automated Trading wallet trail — every hop captured with chain-of-custody hashes.
3. Name the Automated Trading off-ramp — endpoint counterparty identified.
4. Build and file the Automated Trading recovery packet — to IC3, state AG, off-ramp compliance, civil-discovery overlay.
5. Stay on the Automated Trading file — until written next steps exist.

What the casefile records — chains and counterparties:

• Chains tracked on Automated Trading — Bitcoin and Ethereum at the deposit side; Tron USDT-TRC20 and BSC at the consolidation side; bridges crossed where the operator chases liquidity.
• Off-ramps tracked on Automated Trading — named exchange counterparties with public compliance contacts.
• Filings supported on Automated Trading — IC3, state AG, off-ramp compliance, civil discovery — selected by the dollar value and the off-ramp’s responsiveness.

What the Professor will never do — by policy:

• Hard line on Automated Trading — no seed-phrase requests, period.
• Hard line on Automated Trading — no remote logins requested.
• Hard line on Automated Trading — no upfront cash retainer.
• Hard line on Automated Trading — no guarantee language.
• Hard line on Automated Trading — no unsolicited phone outreach.