The Edge That Wasn't
A Memoir of Retail FX, and What the Receipts Showed

The Edge That Wasn't

Algorithmic Trading, 81 Experiments, 5,556 Live Trades, and the Answer the Data Gave

Most books with "algorithmic trading" on the cover sell a system that prints money. This one hands you the losses. The central artifact of the book is a table of broker-verified results — its own — and the frozen snapshot of every recorded trade ships with it, so any per-strategy row reproduces from the raw file. Foot the table yourself.

It is the record of fx-core, a containerized retail FX research project. No single strategy ever ran on more than about a hundred dollars, and most on far less; roughly two hundred dollars was funded across the thirteen broker sub-accounts over the project's life, peaking near a hundred and ninety-nine. The methodology is the subject, not the size of the account.

One question runs through it: is there a repeatable, statistically real edge available to a retail trader in spot FX, and if so, is it large enough — after costs, after tail risk, after the capital required to hold open positions through their drawdowns — to beat a stock-index fund? Roughly seventy real experiments answer it, and one strategy survives.

−55,000 pips of bad signals from one lookahead bug, across sixteen strategies
~$200 funded across thirteen broker sub-accounts, peaking near $199
+171 pips — the lifetime record of the one live survivor, in the broker's own ledger

What the apparatus taught outlasts the trading. Pre-registration, a sealed out-of-sample set touched exactly once, a working taxonomy of lookahead bias, the coin-flip control that separates skill from luck, and the cost floors that sink most edges: a full research-methods spine, demonstrated on live results rather than lectured. It is meant to be useful to a data scientist or engineer who will never place a trade.

Inside