StockArithm

Most trading signals look good until they have to survive in public.

StockArithm runs sector ETF signals in public so you can see what's actually working — not what backtested well.

See the public leaderboard Get the weekly lab notes
422 algos tracked Updated nightly Paper-traded in public Failures stay visible
Top 10 rolling 30D leaders vs SPY
Recent conditions have been rough and most signals are underwater. That is why we keep the full record visible.
97.0102.5108.1113.8 Apr 12May 7Jun 5
Algo Biscotti (Unconditional Loyalty) (alt)VIX Term StructureVIX Fear RotationAlgo Baileymol (Chaos Monger)Housing Permit VelocityHigh Yield Spread RegimeUber Mobility IndexDaily Spike In Google Trends For Emergency Dental Care Signals Consumer Stress Impacting Health SectorRss News Volume Spike On Corporate Bond Downgrades Signals Credit Stress RotationDaily Surge In Google Trends Searches For Electric Vehicle Charging Station Outages SPY baseline 110.4

What You're Looking At

For people who do not have time to do quant research themselves, StockArithm tests traditional and alternative-data signals on sector ETFs and keeps the results public.

Each signal is a rule-based idea that tries to decide when a sector or market trade should outperform SPY. Some signals use standard momentum logic. Others use alternative data like TSA checkpoint traffic, freight activity, electricity demand, and search behavior.

The board shows which signals are actually holding up in public paper trading, not just which ones looked good in a backtest.

How to read the board

Need the terms in plain English? Start with the glossary.

What to look at first

How it works

StockArithm takes two broad kinds of signal ideas — traditional ETF rotation signals and alternative-data signals — and runs them through the same public test.

Traditional signals use familiar market logic like momentum, relative strength, and rotation. Alternative-data signals use real-world inputs like TSA checkpoint traffic, freight movement, electricity demand, and search behavior to see whether those inputs tell us anything useful about sector performance.

Each signal is paper-traded, ranked against SPY, and kept visible whether it wins or loses. The point is not to publish the prettiest backtest. The point is to show which signals are actually surviving in public, under the same scoreboard, with the losers still on the page.

Why it matters

Most trading signals look good until they have to survive in public. StockArithm exists to show that survival test in real time.

One example

If TSA volume spikes, the lab can turn that into a travel or consumer signal, run it against SPY, and show whether it actually helps.

30-Day Rolling Leaders

  • 1. Algo Baileymol (Chaos Monger) — +0.98%
  • 2. Quantified Simple Monthly Rotation — -0.45%
  • 3. Antonacci Dual Momentum Sector Rotation — -0.08%

Recent leaders over the last 30 days.

View the leaderboard

What You Can Verify

Public counts update nightly. Right now the lab shows 422 total algos, 183 on the watchlist, 5 promoted, and 26 in the graveyard.

Watchlist means worth monitoring but not yet trusted. Promoted means strong enough to feature publicly. Graveyard means the idea failed badly enough that we keep it visible as a dead end.

Read the daily snapshot

Signal Index

All 422 signals in one public list. Names, families, and status only. No rank and no returns.

A lot of the lab is still collecting data, waiting on better history, or sitting in sandbox until the first real trade fires. Families show what each cluster is trying to measure.

Get the weekly lab notes.

A short weekly note on which signals are holding up, which are breaking, and what the lab learned.

No hype. Just the state of the lab.

Today's Signal Spotlight

Every day we showcase three signals from our lab: two rotating daily picks and one permanent resident. No cherry-picking, no backtested fantasies.

Spotlight 1 & 2 update daily at 6:30pm EST. Never cherry-picked: rotation is deterministic with 14-day anti-repeat.

Disclaimer

The information provided by this website, its tools, and any associated content is for informational and educational purposes only. Nothing here is financial, investment, legal, or tax advice.

This service publishes experimental signals, research outputs, and historical observations. These are not recommendations to buy, sell, or hold any asset.

Trading and investing involve significant risk, including possible loss of principal. Past performance does not guarantee future results. Signals, models, results, and third-party data may be incomplete, incorrect, delayed, or revised.

You are solely responsible for your own financial decisions. Do your own research and consult a qualified professional before making investment decisions.

By using this service, you agree that the operators are not liable for losses, damages, or decisions made based on the information provided.

Read the full legal/disclaimer page