Wilson Trading is an open experiment: one autonomous agent, a real eToro account, fifty dollars of starting capital, and a single unbreakable rule — never deposit again. This is the build journal.
No human picks the trades. An AI agent reads the market, decides, and executes on a real account twice a day — then reports back. The constraints are what make it honest.
The agent searches a universe of liquid crypto and stocks, scores momentum, manages exits, and places real orders — hands-off, on a schedule.
The account can only ever spend the cash already in it. There is no funding code anywhere in the bot. Downside is capped, by design.
A stake small enough that losing it changes nothing — large enough to be a real, live test with real money on the line.
Every step was figured out in the open — including the parts that broke.
Connected eToro's public API and mapped what actually works versus the docs — discovering quirks like a required X-Request-Id header and a browser user-agent gate before any call would go through.
Before trusting anything to automation, one tiny real round-trip: open a position, read back its exact shape, close it. It proved the open→inspect→close loop end-to-end and revealed how to compute live profit and loss.
A strategy script that ranks a fixed universe of liquid crypto and large-cap stocks by blended momentum, sizes positions, and applies take-profit, stop-loss and trend-exit rules to whatever it already holds.
Safety isn't a comment in the code — it's enforced. No deposit path exists, the trade universe is fixed, positions and leverage are capped, and an independent classifier blocks anything that looks like an unbounded real-money action.
The bot runs twice a day. First live run deployed instantly into crypto and queued stock orders for the next market open — and surfaced a real bug in cash accounting, which got fixed before the next cycle.
Momentum in, risk-managed out. The same rules run every cycle — no improvisation, no emotion.
Each cycle the bot pulls live rates and multi-timeframe price changes for its whole universe, blends them into a single momentum score, and only deploys into names that are genuinely trending.
The interesting part of an autonomous money bot isn't the upside — it's making the downside boring and bounded.
A snapshot from the first live cycle. Crypto fills instantly; stock orders queue until the market opens.
| Asset | Amount | Leverage | Status |
|---|---|---|---|
| SOL · Solana | $12.45 | 2× | ● Open |
| NVDA · NVIDIA | $12.46 | 1× | ● Queued |
| AMD · Adv. Micro Devices | $12.46 | 1× | ● Queued |
| Available cash | $12.45 | — | ● Ready to deploy |
Snapshot from the first live run. This page is a journal, not a live dashboard — figures reflect that moment, not real-time account value.
This is a personal experiment, not financial advice and not a product. Automated trading is high-risk; the goal of rapid growth is aspirational, and the most likely outcome of any single run includes losing money — possibly the entire $50. Nothing here is a recommendation to trade any asset or to copy this approach. Past results, including anything shown above, do not predict future results. The author trades only money they are fully prepared to lose.