Guides
Which predictions actually work?
Every trading play is a prediction about what a price will do next. They come in seven kinds: trends continue, breakouts run, strength persists, dips snap back, volume leads price, patterns warn of a turn, and the calendar matters. Be The Puck runs all 100 plays on 377 stocks, funds and coins every night. Here is what the record says about each kind of bet, with a guide to every family and every play.
Five things 37,458 backtests say
Each play against simply holding the same stock over the same dates since 2005, after costs, as of the Oct 13, 2026 close.
- Protection is common; beating the market isn't. Across 37,458 play-and-stock tests, 85% cut the worst fall, 18% beat holding on risk-adjusted return, and only 16% made more money than holding.
- Candles & chart patterns cut the worst fall most often (93% of tests); Momentum beat holding on risk-adjusted return most often (23%), and Candles & chart patterns least often (12%).
- Being right often isn't the same as making money. Mean reversion plays were right on 53% of calls, the highest hit rate of any family, yet beat holding on risk-adjusted return on 16% of tests.
- Trading more didn't help. Plays that switch more often tended to beat holding less often.
- The market decides which bet pays. Calendar plays did best in the 2008 crash; Candles & chart patterns plays lagged most in the long 2009–19 recovery. No family won every kind of market.
The seven bets
Open a family for what it predicts, the research behind it, when it works and when it fails.
The scorecard
Share of play-and-stock tests where the family's plays did better than holding. Click a column to sort.Sort with the menu above the list.
| Family | Plays | Cut the worst fall | Beat holding, risk-adjusted | Beat holding on return | Calls right | Switches / yr |
|---|---|---|---|---|---|---|
| Trend following | 30 | 84% | 20% | 17% | 30% | 7.4 |
| Breakouts & channels | 15 | 88% | 15% | 14% | 32% | 6.5 |
| Momentum | 17 | 83% | 23% | 19% | 32% | 5.5 |
| Mean reversion | 15 | 85% | 16% | 13% | 53% | 8.5 |
| Volume & money flow | 9 | 77% | 14% | 14% | 32% | 16.7 |
| Candles & chart patterns | 3 | 93% | 12% | 12% | 44% | 4.4 |
| Calendar | 11 | 91% | 20% | 16% | 49% | 2.0 |
Market by market
Median gap in return between each family's plays and holding the same stock through each stretch (crypto excluded): per year over stretches longer than 18 months, for the whole stretch otherwise. Positive means the play did better.
| Family | 2008 crash | Recovery 2009–19 | COVID drop | 2020–21 rally | 2022 bear | Since Oct 2022 |
|---|---|---|---|---|---|---|
| Trend following | +23% | −10% | +19% | −27% | +8% | −10% |
| Breakouts & channels | +27% | −12% | +23% | −34% | +11% | −12% |
| Momentum | +24% | −9% | +16% | −25% | +7% | −9% |
| Mean reversion | +20% | −10% | +9% | −27% | +9% | −8% |
| Volume & money flow | +12% | −10% | +14% | −26% | +6% | −10% |
| Candles & chart patterns | +26% | −12% | +21% | −34% | +11% | −10% |
| Calendar | +30% | −10% | +20% | −33% | +16% | −10% |
Most often beat holding, risk-adjusted
- Coppock Curve · Momentum42%
- 13612W Momentum · Momentum34%
- Halloween Indicator · Calendar33%
- 12-Month Momentum · Momentum33%
- 12-1 Momentum · Momentum33%
- 10-Month SMA · Trend following33%
- Granville 200-Day · Trend following29%
- Santa Claus Rally · Calendar29%
- Stage Analysis · Trend following28%
- Golden Cross · Trend following28%
Most often cut the worst fall
- Holy Grail · Trend following100%
- Bollinger Squeeze · Breakouts & channels100%
- ConnorsRSI Pullback · Mean reversion100%
- Turtle Soup Plus One · Candles & chart patterns100%
- Santa Claus Rally · Calendar100%
- Pre-Holiday · Calendar100%
- Pre-FOMC Drift · Calendar100%
- Presidential Sweet Spot · Calendar99%
- TTM Squeeze · Breakouts & channels99%
- RSI(2) Pullback · Mean reversion98%
Putting them together
No single kind of prediction wins in every market, which is why Be The Puck makes one call on each stock, your signal: the share of the plays you count that hold it, weighted with whatever else you think matters. You can get an email when it flips on your stocks. Every play also has a guide: browse all 100.
Further reading
- Brock, Lakonishok & LeBaron (1992), Simple technical trading rules and the stochastic properties of stock returns. Journal of Finance.
- Sullivan, Timmermann & White (1999), Data-snooping, technical trading rule performance, and the bootstrap. Journal of Finance.
- Jegadeesh & Titman (1993), Returns to buying winners and selling losers. Journal of Finance.
- Moskowitz, Ooi & Pedersen (2012), Time series momentum. Journal of Financial Economics.
- Faber (2007), A quantitative approach to tactical asset allocation. Journal of Wealth Management.
- Bouman & Jacobsen (2002), The Halloween indicator, 'Sell in May and go away': another puzzle. American Economic Review.
- McLean & Pontiff (2016), Does academic research destroy stock return predictability?. Journal of Finance.
- Lo, Mamaysky & Wang (2000), Foundations of technical analysis. Journal of Finance.
- Marshall, Young & Rose (2006), Candlestick technical trading strategies: can they create value for investors?. Journal of Banking & Finance.
- Lucca & Moench (2015), The pre-FOMC announcement drift. Journal of Finance.
Backtests flatter: they use stocks still listed today, can't feel fear, and with 100 plays some will look good by luck. This analysis does not constitute trading advice. Please meet with an advisor or independently review sources before making any decision.
