Stonks Lab ๐Ÿ“ˆ

Private paper-trading lab. Enter the password.

STONKS LAB ๐Ÿ“ˆ

Mike's paper-trading laboratory โ€” testing "one stock a week" with fake money before any real money.
Data baked in on October 08, 2026 at 10:32 AM ยท refreshes on each rebuild

Paper account โ€” the $250 experiment

Paper bankroll
$250.00
started 2026-07-31 ยท 0 trades
vs. boring baseline
$11.69
behind $250 parked in SPY ($261.69)
Current position
All cash
no open position

Today's screener โ€” top 10 momentum candidates

#TickerPrice 12-mo mom.3-mo mom. TrendScore
1AMD$642.98+113.8%+20.3%50d 200d0.97
2MU$1,072.69+397.8%+14.5%50d 200d0.94
3FCX$72.01+68.0%+20.4%50d 200d0.94
4PANW$407.80+55.4%+23.5%50d 200d0.93
5COP$133.13+50.8%+18.8%50d 200d0.90
6INTC$111.07+168.0%+7.7%50d 200d0.89
7XOM$167.65+49.1%+16.8%50d 200d0.89
8CVX$210.66+43.8%+16.6%50d 200d0.85
9LRCX$330.12+109.8%+0.2%50d 200d0.80
10OXY$59.65+38.5%+9.3%50d 200d0.78

Screened Oct 08, 2026. "12-mo mom." is the classic 12-1 momentum signal (past year's return, skipping the last month). A high rank means "fits the historical momentum pattern" โ€” not "will go up."

The 9-year backtest โ€” strategy vs. doing nothing

One-stock-a-week momentum
$7,148
+45.3%/yr after costs + 24% short-term tax
Boring baseline (SPY)
$776
+13.5%/yr ยท buy once, ignore, 15% LTCG
Win rate
56%
262/469 weeks over 9 years
Worst drawdown
-68%
vs -32% for SPY
One-stock-a-week momentum $250 parked in SPY

Log scale โ€” equal vertical steps are equal percentage moves. Backtest run 2026-07-27, 469 weekly trades. Hover for values. Curves show market value along the way; the tiles above show the final take-home after taxes.

Year-end values (table view)
Year endStrategySPY
2017$304$276
2018$298$266
2019$648$346
2020$2,705$409
2021$1,263$527
2022$963$431
2023$1,305$544
2024$3,398$686
2025$3,367$801
2026$8,315$869

Before you believe that chart โ€” the fine print

Survivorship bias is doing the heavy lifting. The pick was NVDA (122 wks), TSLA (77 wks), OXY (55 wks) in 54% of all weeks. The stock universe is today's winners โ€” the backtest effectively knew in advance to keep them on the list, and never owned anything that cratered or delisted. A bias-free version would look far worse.

The drawdown was -68%. Would you really keep betting the system after losing two-thirds of the bankroll? Almost everyone quits at the bottom โ€” which turns a paper win into a real loss.

Single worst weeks hit โˆ’22%. Whole bankroll, one stock, no exits. A 56% win rate with that variance is how winning records still go broke.

The market, in betting terms

The vig. Every short-term trade pays spread + slippage both ways, and winning years are taxed at ordinary-income rates (~24%+) instead of the 15% long-term rate. Weekly trading pays the vig 52 times a year; the boring baseline pays it once, years from now.

Who the fish are. In the short-term game, retail traders are the small fish โ€” market makers and quant funds are the house, profiting from retail order flow itself. Only low-single-digit percentages of retail day traders stay profitable long-term.

The retail edge is patience. Fund managers get fired for one bad year, so they can't sit through drawdowns. The small fish's structural advantage is time horizon โ€” which is why "boring and long" beats "clever and fast" for almost everyone.

The experiment: 8โ€“12 weeks of paper trades, zero real dollars. If the picks can't beat the baseline with fake money, real money would only have added losses and taxes.