firing / Firing now · sectors

Historical hit rates, not a prediction / not trade advice.

Last 5 daily bars · 11 SPDR sector ETFs

Scan notes

Every classic signal rule that fired in the last 5 daily bars across 11 SPDR sector ETFs (11 names), joined with that rule's historical 1-month record on that ticker. Study-grade rows (n≥10) first; 75/10 is an in-sample sort, not a proven edge.

alldividendsgrowthindicesmag7megasectors

Today's scan

A firing is a regime label on the last daily bars, not a trigger and not a forecast. Win rate and count are that rule’s history on that symbol. A row with fewer than 10 firings is anecdote, not evidence. If the last bar date is older than the last completed session, it is not today’s read — say so.

SymbolRuleLast dateWin / n
XLVStoch %K/%D cross (oversold)LONGFIRED2026-10-062026-10-06Win 71.4% · n=14
XLFMACD bullish crossLONGFIRED2026-10-092026-10-09Win 68.4% · n=19
XLREWilliams %R cross -80LONGFIRED2026-10-082026-10-08Win 69.0% · n=29
XLVEMA 9/21 golden crossLONGFIRED2026-10-092026-10-09Win 70.0% · n=10
XLPCCI cross -100LONGFIRED2026-10-062026-10-06Win 66.7% · n=27
XLRECCI cross -100LONGFIRED2026-10-062026-10-06Win 65.0% · n=20
XLEMACD bullish crossLONGFIRED2026-10-082026-10-08Win 60.9% · n=23
XLCWilliams %R cross -80LONGFIRED2026-10-122026-10-12Win 55.9% · n=34
XLVMACD bullish crossLONGFIRED2026-10-092026-10-09Win 52.2% · n=23
XLICCI cross -100LONGSTUDY2026-10-092026-10-09Win 47.4% · n=19
XLEEMA 9/21 golden crossLONGSTUDY2026-10-062026-10-06Win 46.7% · n=15
XLPMACD bullish crossLONGSTUDY2026-10-072026-10-07Win 45.5% · n=22
XLREMACD bullish crossLONGSTUDY2026-10-092026-10-09Win 43.5% · n=23
XLIWilliams %R cross -20SHORTSTUDY2026-10-072026-10-07Win 42.2% · n=45
XLIStoch %K/%D cross (overbought)SHORTSTUDY2026-10-072026-10-07Win 40.5% · n=37
XLPEMA 9/21 golden crossLONGSTUDY2026-10-122026-10-12Win 40.0% · n=15
XLBMACD bullish crossLONGSTUDY2026-10-062026-10-06Win 39.1% · n=23
XLEWilliams %R cross -20SHORTSTUDY2026-10-072026-10-07Win 39.0% · n=41
XLKCCI cross 100SHORTSTUDY2026-10-082026-10-08Win 36.4% · n=22
XLICCI cross 100SHORTSTUDY2026-10-072026-10-07Win 32.3% · n=31
XLKWilliams %R cross -20SHORTSTUDY2026-10-082026-10-08Win 33.3% · n=33
XLKMACD bearish crossSHORTSTUDY2026-10-122026-10-12Win 30.8% · n=26
XLKStoch %K/%D cross (overbought)SHORTSTUDY2026-10-072026-10-07Win 25.0% · n=32
XLKRSI(14) cross 70SHORTSTUDY2026-10-072026-10-07Win 15.4% · n=13

Win 1mo / count are this rule's history on that symbol, not a prediction. Rows with n<10 are anecdotes (folded below). The 75/10 screen is an in-sample sort, not a proven edge. Open a name for the full 5d / 1mo / 3mo table, or a rule for the method.

Anecdotes (n<10) — not headline hit rates

These rows have fewer than 10 measurable 1-month firings. A 100% win on n=1 is not a claim.

SymbolRuleLast dateWin / n
XLRERSI(14) cross 30LONGSTUDY2026-10-082026-10-08Win 100.0% · n=5
XLKMFI cross 80SHORTSTUDY2026-10-072026-10-07Win 0.0% · n=6
FAQ

What does firing mean?

A rule fires when its condition printed on one of the last 5 daily bars for a name in this universe. Win 1mo / count on each row are that rule's history on that symbol, not a prediction. Method: /methodology. Legal caveats: /help.

What universe is this?

This scan is sectors — 11 SPDR sector ETFs — 11 names. The default is mega-caps at /firing. Switch universes with the pills above. It is not a buy or sell list.

Method

On this site every rule is scored the same way: run it over about two years of daily bars, record each firing, and measure what the name did 5 days, 1 month and 3 months later. Sell signals are measured as shorts, so a positive return is a profitable short (side-adjusted). The composite score is 0.6 × average return + 0.4 × (win rate − 50), with longer horizons weighted more. Nothing here is a forecast.

Same scan as GET /api/firing?universe=sectors.

Honest caveats

  • Past ≠ future. Everything here is a historical measurement on daily bars, not a prediction and not investment advice.
  • No costs modeled. Forward returns are close-to-close with no commissions, slippage or borrow.
  • Overlap bias. Signals that fire in clusters get credit for the same move more than once.
  • Small samples. A row with fewer than 10 firings is anecdote, not evidence.

Full method: help manual. Interactive chart: terminal.