WARNING: THIS IS A DEMO. These are not real signals. Do not trade on anything shown here.WARNING: THIS IS A DEMO. Do not trade on anything shown here.WARNING: THIS IS A DEMO.

Product Walkthrough

What the dashboard looks like

Every weekday before the market opens, [sage]SIGNALS scans roughly 1,200 US tech stocks, tests each one against 8 rules, and ranks whatever survives. No stock market background needed to follow along — every section below explains itself in plain English.

Problem framingTurned a vague question — "which stocks are worth watching?" — into a concrete, testable, repeatable process.
Rules over gut feel8 explicit pass/fail checks decide what qualifies — not a subjective judgment call.
Built-in measurementEvery pick is automatically tracked forward and compared against a benchmark — no manual grading.
Iteration, not set-and-forgetStill in an active validation period — rules get revisited based on real outcomes, not gut feel.

This chart compares $1 invested in the tool's daily picks against $1 invested in QQQ, a widely-used stand-in for "the overall stock market." When the green line sits above the gray one, the picks are beating the market average.

Cumulative Performance vs QQQ (T+5)
+3.4pp vs QQQTotal return: +6.5%
PicksQQQ
Start03-0503-1003-1303-140%0%7%

Of all the picks, what share were worth more a week later than the day they were picked?

Hit Rate (T+5)
61%
61W / 39L · n=100
Avg win +2.0%Avg loss -1.5%

The same win/loss check, re-run at four different checkpoints — one day, one week, two weeks, and a month later.

Multi-Horizon Performance
WindowHit RateAvg α vs QQQn
T+157%+0.0pp100
T+561%+0.3pp100
T+1073%+0.9pp100
T+2190%+1.9pp100

Do the stocks ranked #1 actually outperform the ones ranked lower? This checks whether the ranking logic is doing real work.

Rank Validity (median T+5 return)
Rank 1–3
+2.0%
Rank 4–7
+1.0%
Rank 8–10
-1.4%
✓ Top ranks outperforming bottom

What the tool actually produces each morning — a ranked list of tickers with a score and entry price, followed by how each one performed afterward.

Picks by Date
Today's funnel: 1,231 screened → 35 passed → 35 ranked
RankTickerScoreEntryT+1T+5T+10T+21α vs QQQ
#1TWLO0.65$66.00$66.66+1.0%$67.58+2.4%$68.51+3.8%$69.96+6.0%+1.8pp
#2S0.62$18.70$18.46-1.3%$18.21-2.6%$18.48-1.2%$18.79+0.5%-3.2pp
#3AI0.60$28.60$28.83+0.8%$29.17+2.0%$29.52+3.2%$30.14+5.4%+1.4pp
#4NVDA0.58$122.30$125.11+2.3%$128.54+5.1%$130.86+7.0%$135.14+10.5%+4.5pp
#5PLTR0.56$24.90$25.05+0.6%$25.30+1.6%$25.57+2.7%$26.05+4.6%+1.0pp
#6U0.53$23.10$23.19+0.4%$23.33+1.0%$23.52+1.8%$23.79+3.0%+0.4pp
#7RNG0.51$32.80$32.83+0.1%$32.90+0.3%$33.10+0.9%$33.39+1.8%-0.3pp
#8DASH0.49$154.60$154.14-0.3%$153.67-0.6%$154.75+0.1%$156.15+1.0%-1.2pp
#9ABNB0.47$150.20$149.30-0.6%$148.10-1.4%$149.45-0.5%$150.80+0.4%-2.0pp
#10UBER0.45$73.60$72.86-1.0%$72.05-2.1%$72.86-1.0%$73.45-0.2%-2.7pp

Did results improve or worsen over time, day by day?

T+1 Hit Rate Over Time
% of picks that closed higher the next day
50%03-0350%03-0460%03-0560%03-0650%03-0760%03-1060%03-1150%03-1260%03-1360%03-1460%

Which stocks kept reappearing as top picks — a sign of sustained momentum rather than one-off noise.

Ticker Frequency
How often each stock appeared across 10 runs
NVDA
3x30%
PLTR
3x30%
CRWD
2x20%
DDOG
2x20%
NET
2x20%
AAPL
2x20%
MSFT
2x20%
GOOGL
2x20%
META
2x20%
AMZN
2x20%

The spread of daily results vs. the market. A tight, mildly positive cluster is what a consistent process looks like — a few huge wins and nothing else would suggest luck, not process.

T+1 Alpha Distribution
Daily alpha vs QQQ · n=100 · avg +0.0pp · 50/100 positive
50473-8pp+0pp+8pp