Finds stocks that have pulled back hard and shows the historical odds of recovery.

Matches today's pullback to similar past setups and shows what happened next. Not financial advice.

— Stocks & crypto scanned every day from the Russell 1000 and top digital assets
— Years of daily price history powering every analog match and probability estimate
— Last scan completed after market close, New York time
How to Read This The Numbers & Methodology
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The numbers
  • Opportunity Score — How good this buying opportunity looks right now. Multiplies three things: stock quality (is this a strong stock?), recovery odds (has it bounced back from pullbacks like this before?), and the pullback gate (is it actually in a dip right now?). Stocks near all-time highs score low regardless of quality. Higher = better opportunity.
  • Pullback — How washed-out this stock is right now. 0 = no pullback, 100 = extreme selloff. This is the gate: stocks need a meaningful pullback before the Opportunity Score gives them credit. The deeper the pullback, the more weight the score carries.
  • Value Depth — Shown in the rationale for top stocks. Measures undervaluation across four dimensions: position in the 52-week range, distance below the 200-day moving average, RSI oversold level, and drawdown depth. 0 = near highs, 100 = deep value.
  • 1Y / 3Y / 5Y Prob — The chance this stock was higher after 1, 3, or 5 years when it was in a similar pullback. For example, "92%" means it was higher 92 out of 100 times.
  • Quality — Is this a strong stock having a temporary dip, or a weak stock that might keep falling? Looks at: Does it usually trend up over time? Has it recovered from past drops? Is the selling slowing down?
  • Typical 1Y — The most common 1-year return when this stock was in a similar situation before.
  • Downside — A bad-but-realistic scenario (worst 1 in 10 outcomes).
  • Past Cases — How many similar historical situations the stats are based on. More = more reliable.
How it works
  1. Measure value depth — Score each stock on four dimensions: where it sits in its 52-week range, how far below its 200-day moving average, RSI oversold level, and drawdown from recent highs.
  2. Strip out the market — Remove broad market moves so we only see the stock's own weakness, not just a bad day for everything.
  3. Find matching history — Look for every past day this stock was in a similar position (similar drawdown, similar range position, similar technical setup).
  4. Check quality — Filter for stocks with strong long-term trends and a history of bouncing back. This prevents "value traps" — cheap stocks that stay cheap.
  5. Apply the pullback gate — Only give high scores to stocks that are actually in a pullback. A stock near all-time highs gets almost no score, no matter how good its quality or history.
  6. Show the odds — Report what happened next across 1, 3, and 5 years in those matched past cases.
Important
  • Not financial advice. This shows what happened in the past, not what will happen next.
  • Not a trading system. No buy/sell signals, position sizing, or timing.
  • No guarantees. Stocks can keep falling — including to zero.
Backtest — DCA Optimizer Historical Performance Simulation
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What if you invested $1,000 every month into the stocks this tool ranks highest, instead of just buying SPY? This backtest uses the historical opportunity scores — which combine stock quality, recovery odds, and the pullback gate — to pick the top stocks each month, buys them, holds for a fixed period, then sells. Only stocks with meaningful pullbacks get high scores, so the strategy naturally buys dips. All proceeds stay as cash — no reinvestment. Stocks only — crypto (BTC & ETH) is excluded, and including them would improve results even further.

Click to load backtest data…
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Ticker Opp. Score Pullback 1Y Prob 3Y Prob 5Y Prob Typical 1Y Downside Cases Quality
Past performance does not predict future results. This scan shows historical patterns, not investment advice.