quant funds spend millions hiring people who know a formula
you learned in 10th grade and never applied to a price chart
y = mx + b. that's it
linear regression - same math from high school most traders learned, ignored, and forgot existed
what quants actually figured out: asset prices don't move randomly, they drift and revert with measurable slope
regression separates signal from noise. slope tracks trend, residuals measure the deviation
when deviation gets large enough, that's the trade - prices tend to snap back to the line
quants call it "mean reversion." retail calls it "a dip"
actual workflow:
> pull 5 years of daily returns
> run OLS, extract beta and residuals
> z-score the residuals
> entries at -2 standard deviations, exits at 0
retail draws trend lines by hand and calls it analysis
Bookmark this ^
data is public, math is free, approach has been in papers since the 1980s
99% of traders have never built one signal this way
it was never an information gap - always been a methodology gap, and that's the kind that compounds
retail has been asking "will price go up?" for 50 years
quants stopped asking that question entirely
direction is noise. deviation is signal
time series model doesn't predict price - it detects when a market is acting abnormally relative to its own history, then bets on reversion
same data, different question - completely different results
four-step stack:
ADF test first - stationarity confirmed before anything else touches data
ARIMA builds the baseline: trend, seasonality, lag autocorrelation
LSTM on top for what ARIMA's linear math can't see - regime shifts, nonlinear memory
Kalman filter strips real-time noise before signal gets buried
kelly sizes the position. enter on statistical significance, not a gut read
74% win rate isn't prediction. it's a reversion rate markets have been printing for decades
framework is from 1970, data is free, implementation is ~200 lines of python
Bookmark this before you open another chart
what should bother you: this has been sitting in every stats textbook the entire time
they kept retail staring at candles while running autocorrelation tables on the same price feed
We donāt want any more Somalis no matter what.
IDGAF if heās the worldās best brain surgeon.
No more Somalis. In fact, I want to deport every single one who is here.
šØ$0 IN TOOLS. $3,300/MONTH BY MONTH 3. HERMES AGENT DOES 90% OF THE WORK.
most AI agents forget everything when you close the tab.
Hermes saves every workflow to a file on your disk:
ā task completed ā procedure written to ~/.hermes/skills/
ā 20+ skills saved ā similar tasks complete 40% faster
ā month 3: 30+ skills, 10 minutes per report
week 1: 3 competitor research reports at $300-400. $900-1,200.
month 3: 6-8 retainer clients + one-off reports. $3,300-4,400/month.
tools: Hermes + Ollama + Qwen 3.6 27B. total cost: $0.
first client in 3-5 days of outreach.
full setup guide in the article aboveš