Differentiator Product
QL Exit Lab
Every platform tells you when to buy. None will tell you whether your selling costs you money — the hardest, least-measured skill in trading. Paste your closed trades and Exit Lab grades each sale against what the stock actually did next: did you sell near the top of the coming range or dump into weakness, how much did each exit leave on the table versus the drawdown it dodged, and is your exit timing a real edge or a costly reflex?
🔒 Stateless — your exits are graded in memory and never stored
Import your closed trades CSV paste or file — headers auto-detected
Waiting for data
Required: date, ticker, exit_price — the date and price you SOLD (or covered). Optional: side (long/short, default long), qty (prices the opportunity cost in dollars). Minimum 8 closed trades, up to 40 tickers. Exits need ~a month of forward history to grade, so older closes score best.
Fix First
The Seller's Verdict benchmarked against the forward price path after each exit
Sold Too Early most left on the table 21 days after your exit
Where It Costs opportunity cost by ticker (needs qty)
QL Exit Lab is diagnostic research, not investment advice or a certification of results. Regret and efficiency are measured against the underlying's unadjusted forward daily bars (5 / 10 / 21 trading days after each exit); "opportunity cost" is a backward-looking read of the path after you sold, not a claim about what a held position would have returned net of risk, taxes, or what you did with the proceeds. Exits too recent to have a full forward window are held out of the grade, not guessed at. Nothing you import is stored, logged, or used for any other purpose — exits are graded in memory and the report is returned.