Tickfloor

Sentiment extremes: 33 Backtests

Data last updated

Rules that act on crowd mood measures, such as the Fear and Greed index.

9 of 33 strategies finished ahead of the benchmark on the raw number, and 1 had an unadjusted p-value under 0.05. None cleared the correction for trying 1,774 tests in total (a q-value below 0.10), so no result here is a confirmed edge. Scored 2026-10-31, using data up to 2025-03-15.

Strategies here tested on crypto, ETFs, US stocks. See the full family index, the full method and every result, or download the raw registry (JSON).

Results

RuleMarketVs benchmarkSamplep-valueCorrected qReceipt
r2-09 leg (a): two-week momentum top 4 in greed, cash in fear, equal weight when neutral or unavailable, weekly receipt
Source: c1024/r3
crypto+54.2 pts/yr228 rebalances0.0941.000On-site receipt
Crypto 4-week momentum plus a 90-day extreme-fear override receipt
Source: u/Corey_Blake, r/CryptoMarkets 1wp3tyi ('11 episodes of F&G <=10 since 2018, 8 of 8 green 90 days later'; his signal held up in the drop-best-run check); Baker & Wurgler 2006 JF
crypto+40.6 pts/yr1,197 trades0.0680.956On-site receipt
Full test: Fear & Greed Timing
r3-07 with the greed leg replaced by the low-BTC-correlation sleeve: sleeve in greed, equal weight when neutral, cash in fear, weekly receipt
Source: c1031/r4
crypto+35.1 pts/yr230 rebalances0.1861.000On-site receipt
Two-week momentum in greed, low-BTC-correlation sleeve in fear, weekly receipt
Source: c1023/r2
crypto+30.4 pts/yr393 rebalances0.0370.830On-site receipt
r3-07 with Fear & Greed thresholds 50/30 (-10) and a one-week hysteresis on regime flips, weekly receipt
Source: c1031/r4
crypto+17.2 pts/yr287 rebalances0.2701.000On-site receipt
Low-BTC-correlation sleeve in greed only, cash in neutral and fear, weekly receipt
Source: c1031/r4
crypto+17.0 pts/yr122 rebalances0.3481.000On-site receipt
r2-09 leg (b): rank-weighted low-BTC-correlation sleeve in fear, equal weight in greed and neutral, weekly receipt
Source: c1024/r3
crypto+11.3 pts/yr393 rebalances0.0640.946On-site receipt
Max of the fear grid and the SMA grid: trend or capitulation, daily receipt
Source: c1022/redteam
crypto+1.1 pts/yr2,766 rebalances0.4491.000On-site receipt
Crypto held while Fear & Greed is 50 or above receipt
Source: alternative.me Crypto Fear & Greed Index (a composite of volatility, momentum/volume, social media, BTC dominance and search trends); Liu & Tsyvinski 2021 RFS (investor attention predicts crypto returns); Baker & Wurgler 2007 JEP
crypto+0.6 pts/yr1,335 trades0.4831.000On-site receipt
Full test: Fear & Greed Timing
Contrarian to sector dollar-volume share inflows (dumb money) receipt
Source: Frazzini & Lamont 2008 JFE ('Dumb money: mutual fund flows and the cross-section of stock returns')
ETFs−0.3 pts/yr96 rebalances1.0001.000On-site receipt
Arms index (TRIN) oversold buy on the 40-stock breadth receipt
Source: Arms 1989 'The Arms Index (TRIN)'
US stocks−0.7 pts/yr1,924 rebalances1.0001.000On-site receipt
Stock beta tilt against crypto Fear & Greed extremes (wide US stocks) receipt
Source: Baker & Wurgler 2006 JF; Stambaugh, Yu & Yuan 2012 JFE (speculative overpricing is stronger after high sentiment)
US stocks−1.5 pts/yr102 rebalances1.0001.000On-site receipt
Kumar-Persaud risk appetite index across 25 ETFs receipt
Source: Kumar & Persaud 2002 International Finance ('Pure contagion and investors' shifting risk appetite')
ETFs−3.3 pts/yr1,040 rebalances1.0001.000On-site receipt
Crypto fear as a contrarian entry for tech equities: buy QQQ, XLK, DIA, XLY and XLF when the Fear & Greed index is 24 or less, hold 20 bars receipt
Source: c1031/macro
ETFs−9.9 pts/yr120 trades1.0001.000On-site receipt
Crypto sentiment surge spills into tech and discretionary ETFs receipt
Source: Baker & Wurgler 2006 (speculative assets most sentiment-sensitive); Corbet, Meegan, Larkin, Lucey & Yarovaya 2018 Econ. Letters (crypto-asset spillovers); alternative.me F&G
ETFs−10.6 pts/yr267 trades1.0001.000On-site receipt
VIX spike mean reversion (fear-spike buy) receipt
Source: Whaley 2000, Journal of Portfolio Management
ETFs−14.0 pts/yr10 trades1.0001.000On-site receipt
Crypto high-beta tilt for 90 days after extreme fear receipt
Source: u/Corey_Blake, r/CryptoMarkets 1wp3tyi (extreme fear <= 10 followed by 90-day gains 8 of 8 times); Baker & Wurgler 2006 JF (high sentiment-beta assets rebound most); Da, Engelberg & Gao 2015 RFS (FEARS reversals)
crypto−14.5 pts/yr2,766 rebalances1.0001.000On-site receipt
VIX spike mean reversion (fear-spike buy) (wide US stocks) receipt
Source: Whaley 2000, Journal of Portfolio Management
US stocks−15.7 pts/yr1,024 trades1.0001.000On-site receipt
Crypto Fear & Greed Index (alternative.me) extreme buy/sell receipt
Source: alternative.me Crypto Fear & Greed Index API (free, keyless)
crypto−39.9 pts/yr15 trades1.0001.000On-site receipt
Full test: Fear & Greed Index
Rising sentiment inside an uptrend: 14-day Fear & Greed improvement receipt
Source: c1031/cryptoderiv
crypto−41.4 pts/yr711 trades1.0001.000On-site receipt
Fear & Greed Index contrarian extreme receipt
Source: alternate.me Fear & Greed API + viral crypto-Twitter/YouTube 'buy the fear' threads
crypto−43.2 pts/yr21 trades1.0001.000On-site receipt
Full test: Fear & Greed Index
Price down 10% while market sentiment held up (idiosyncratic sell-off) receipt
Source: Da, Engelberg & Gao 2015 (sentiment vs price divergence); alternative.me F&G
crypto−53.6 pts/yr716 trades1.0001.000On-site receipt
Crypto-specific fear while US equity volatility is calm receipt
Source: Baker & Wurgler 2006; Da, Engelberg & Gao 2015 RFS; alternative.me F&G
crypto−59.4 pts/yr289 trades1.0001.000On-site receipt
Double capitulation: extreme fear plus negative funding receipt
Source: alternative.me Fear & Greed; Schmeling, Schrimpf & Todorov 2023 (negative funding = short crowding); contrarian-sentiment literature (Baker & Wurgler 2006)
crypto−61.9 pts/yr246 trades1.0001.000On-site receipt
Sentiment residual: Fear & Greed z-score minus 20-day return z-score receipt
Source: c1031/cryptoderiv
crypto−64.1 pts/yr1,271 trades1.0001.000On-site receipt
Fibonacci 61.8% retracement bounce in an uptrend receipt
Source: Instagram/TikTok 'Fibonacci golden pocket' trading content
crypto−66.6 pts/yr945 trades1.0001.000On-site receipt
Full test: Fibonacci Retracement
Sentiment surge out of fear (7-day Fear & Greed jump) receipt
Source: Baker & Wurgler 2006 JF (sentiment shifts); alternative.me Crypto Fear & Greed index
crypto−67.2 pts/yr368 trades1.0001.000On-site receipt
Panic day: one-day Fear & Greed drop of 12+ points, buy receipt
Source: c1031/cryptoderiv
crypto−67.5 pts/yr967 trades1.0001.000On-site receipt
Fear streak exhaustion: first neutral close after 7+ days of fear receipt
Source: c1031/cryptoderiv
crypto−68.9 pts/yr332 trades1.0001.000On-site receipt
Greed streak exhaustion: first non-greedy close after 7+ days of greed, short receipt
Source: c1031/cryptoderiv
crypto−76.3 pts/yr324 trades1.0001.000On-site receipt
Fear plus open-interest purge: buy receipt
Source: c1031/cryptoderiv
crypto−87.7 pts/yr166 trades1.0001.000On-site receipt
Trend with an exit when greed and record open interest coincide receipt
Source: Baker & Wurgler 2006 (sentiment peaks); Adrian & Shin 2010 (leverage peaks); crypto desk 'euphoria + OI ATH' warnings
crypto−88.6 pts/yr384 trades1.0001.000On-site receipt
Greed plus open-interest exit: distribution short receipt
Source: c1031/cryptoderiv
crypto−96.0 pts/yr172 trades1.0001.000On-site receipt
  • r2-09 leg (a): two-week momentum top 4 in greed, cash in fear, equal weight when neutral or unavailable, weekly

    crypto · +54.2 pts/yr · 228 rebalances · corrected q 1.000

    Source, p-value and result file
    Source
    c1024/r3
    p-value
    0.094
    Corrected q
    1.000
  • Crypto 4-week momentum plus a 90-day extreme-fear override

    crypto · +40.6 pts/yr · 1,197 trades · corrected q 0.956

    Full test: Fear & Greed Timing

    Source, p-value and result file
    Source
    u/Corey_Blake, r/CryptoMarkets 1wp3tyi ('11 episodes of F&G <=10 since 2018, 8 of 8 green 90 days later'; his signal held up in the drop-best-run check); Baker & Wurgler 2006 JF
    p-value
    0.068
    Corrected q
    0.956
  • r3-07 with the greed leg replaced by the low-BTC-correlation sleeve: sleeve in greed, equal weight when neutral, cash in fear, weekly

    crypto · +35.1 pts/yr · 230 rebalances · corrected q 1.000

    Source, p-value and result file
    Source
    c1031/r4
    p-value
    0.186
    Corrected q
    1.000
  • Two-week momentum in greed, low-BTC-correlation sleeve in fear, weekly

    crypto · +30.4 pts/yr · 393 rebalances · corrected q 0.830

    Source, p-value and result file
    Source
    c1023/r2
    p-value
    0.037
    Corrected q
    0.830
  • r3-07 with Fear & Greed thresholds 50/30 (-10) and a one-week hysteresis on regime flips, weekly

    crypto · +17.2 pts/yr · 287 rebalances · corrected q 1.000

    Source, p-value and result file
    Source
    c1031/r4
    p-value
    0.270
    Corrected q
    1.000
  • Low-BTC-correlation sleeve in greed only, cash in neutral and fear, weekly

    crypto · +17.0 pts/yr · 122 rebalances · corrected q 1.000

    Source, p-value and result file
    Source
    c1031/r4
    p-value
    0.348
    Corrected q
    1.000
  • r2-09 leg (b): rank-weighted low-BTC-correlation sleeve in fear, equal weight in greed and neutral, weekly

    crypto · +11.3 pts/yr · 393 rebalances · corrected q 0.946

    Source, p-value and result file
    Source
    c1024/r3
    p-value
    0.064
    Corrected q
    0.946
  • Max of the fear grid and the SMA grid: trend or capitulation, daily

    crypto · +1.1 pts/yr · 2,766 rebalances · corrected q 1.000

    Source, p-value and result file
    Source
    c1022/redteam
    p-value
    0.449
    Corrected q
    1.000
  • Crypto held while Fear & Greed is 50 or above

    crypto · +0.6 pts/yr · 1,335 trades · corrected q 1.000

    Full test: Fear & Greed Timing

    Source, p-value and result file
    Source
    alternative.me Crypto Fear & Greed Index (a composite of volatility, momentum/volume, social media, BTC dominance and search trends); Liu & Tsyvinski 2021 RFS (investor attention predicts crypto returns); Baker & Wurgler 2007 JEP
    p-value
    0.483
    Corrected q
    1.000
  • Contrarian to sector dollar-volume share inflows (dumb money)

    ETFs · −0.3 pts/yr · 96 rebalances · corrected q 1.000

    Source, p-value and result file
    Source
    Frazzini & Lamont 2008 JFE ('Dumb money: mutual fund flows and the cross-section of stock returns')
    p-value
    1.000
    Corrected q
    1.000
  • Arms index (TRIN) oversold buy on the 40-stock breadth

    US stocks · −0.7 pts/yr · 1,924 rebalances · corrected q 1.000

    Source, p-value and result file
    Source
    Arms 1989 'The Arms Index (TRIN)'
    p-value
    1.000
    Corrected q
    1.000
  • Stock beta tilt against crypto Fear & Greed extremes (wide US stocks)

    US stocks · −1.5 pts/yr · 102 rebalances · corrected q 1.000

    Source, p-value and result file
    Source
    Baker & Wurgler 2006 JF; Stambaugh, Yu & Yuan 2012 JFE (speculative overpricing is stronger after high sentiment)
    p-value
    1.000
    Corrected q
    1.000
  • Kumar-Persaud risk appetite index across 25 ETFs

    ETFs · −3.3 pts/yr · 1,040 rebalances · corrected q 1.000

    Source, p-value and result file
    Source
    Kumar & Persaud 2002 International Finance ('Pure contagion and investors' shifting risk appetite')
    p-value
    1.000
    Corrected q
    1.000
  • Crypto fear as a contrarian entry for tech equities: buy QQQ, XLK, DIA, XLY and XLF when the Fear & Greed index is 24 or less, hold 20 bars

    ETFs · −9.9 pts/yr · 120 trades · corrected q 1.000

    Source, p-value and result file
    Source
    c1031/macro
    p-value
    1.000
    Corrected q
    1.000
  • Crypto sentiment surge spills into tech and discretionary ETFs

    ETFs · −10.6 pts/yr · 267 trades · corrected q 1.000

    Source, p-value and result file
    Source
    Baker & Wurgler 2006 (speculative assets most sentiment-sensitive); Corbet, Meegan, Larkin, Lucey & Yarovaya 2018 Econ. Letters (crypto-asset spillovers); alternative.me F&G
    p-value
    1.000
    Corrected q
    1.000
  • VIX spike mean reversion (fear-spike buy)

    ETFs · −14.0 pts/yr · 10 trades · corrected q 1.000

    Source, p-value and result file
    Source
    Whaley 2000, Journal of Portfolio Management
    p-value
    1.000
    Corrected q
    1.000
  • Crypto high-beta tilt for 90 days after extreme fear

    crypto · −14.5 pts/yr · 2,766 rebalances · corrected q 1.000

    Source, p-value and result file
    Source
    u/Corey_Blake, r/CryptoMarkets 1wp3tyi (extreme fear <= 10 followed by 90-day gains 8 of 8 times); Baker & Wurgler 2006 JF (high sentiment-beta assets rebound most); Da, Engelberg & Gao 2015 RFS (FEARS reversals)
    p-value
    1.000
    Corrected q
    1.000
  • VIX spike mean reversion (fear-spike buy) (wide US stocks)

    US stocks · −15.7 pts/yr · 1,024 trades · corrected q 1.000

    Source, p-value and result file
    Source
    Whaley 2000, Journal of Portfolio Management
    p-value
    1.000
    Corrected q
    1.000
  • Crypto Fear & Greed Index (alternative.me) extreme buy/sell

    crypto · −39.9 pts/yr · 15 trades · corrected q 1.000

    Full test: Fear & Greed Index

    Source, p-value and result file
    Source
    alternative.me Crypto Fear & Greed Index API (free, keyless)
    p-value
    1.000
    Corrected q
    1.000
  • Rising sentiment inside an uptrend: 14-day Fear & Greed improvement

    crypto · −41.4 pts/yr · 711 trades · corrected q 1.000

    Source, p-value and result file
    Source
    c1031/cryptoderiv
    p-value
    1.000
    Corrected q
    1.000
  • Fear & Greed Index contrarian extreme

    crypto · −43.2 pts/yr · 21 trades · corrected q 1.000

    Full test: Fear & Greed Index

    Source, p-value and result file
    Source
    alternate.me Fear & Greed API + viral crypto-Twitter/YouTube 'buy the fear' threads
    p-value
    1.000
    Corrected q
    1.000
  • Price down 10% while market sentiment held up (idiosyncratic sell-off)

    crypto · −53.6 pts/yr · 716 trades · corrected q 1.000

    Source, p-value and result file
    Source
    Da, Engelberg & Gao 2015 (sentiment vs price divergence); alternative.me F&G
    p-value
    1.000
    Corrected q
    1.000
  • Crypto-specific fear while US equity volatility is calm

    crypto · −59.4 pts/yr · 289 trades · corrected q 1.000

    Source, p-value and result file
    Source
    Baker & Wurgler 2006; Da, Engelberg & Gao 2015 RFS; alternative.me F&G
    p-value
    1.000
    Corrected q
    1.000
  • Double capitulation: extreme fear plus negative funding

    crypto · −61.9 pts/yr · 246 trades · corrected q 1.000

    Source, p-value and result file
    Source
    alternative.me Fear & Greed; Schmeling, Schrimpf & Todorov 2023 (negative funding = short crowding); contrarian-sentiment literature (Baker & Wurgler 2006)
    p-value
    1.000
    Corrected q
    1.000
  • Sentiment residual: Fear & Greed z-score minus 20-day return z-score

    crypto · −64.1 pts/yr · 1,271 trades · corrected q 1.000

    Source, p-value and result file
    Source
    c1031/cryptoderiv
    p-value
    1.000
    Corrected q
    1.000
  • Fibonacci 61.8% retracement bounce in an uptrend

    crypto · −66.6 pts/yr · 945 trades · corrected q 1.000

    Full test: Fibonacci Retracement

    Source, p-value and result file
    Source
    Instagram/TikTok 'Fibonacci golden pocket' trading content
    p-value
    1.000
    Corrected q
    1.000
  • Sentiment surge out of fear (7-day Fear & Greed jump)

    crypto · −67.2 pts/yr · 368 trades · corrected q 1.000

    Source, p-value and result file
    Source
    Baker & Wurgler 2006 JF (sentiment shifts); alternative.me Crypto Fear & Greed index
    p-value
    1.000
    Corrected q
    1.000
  • Panic day: one-day Fear & Greed drop of 12+ points, buy

    crypto · −67.5 pts/yr · 967 trades · corrected q 1.000

    Source, p-value and result file
    Source
    c1031/cryptoderiv
    p-value
    1.000
    Corrected q
    1.000
  • Fear streak exhaustion: first neutral close after 7+ days of fear

    crypto · −68.9 pts/yr · 332 trades · corrected q 1.000

    Source, p-value and result file
    Source
    c1031/cryptoderiv
    p-value
    1.000
    Corrected q
    1.000
  • Greed streak exhaustion: first non-greedy close after 7+ days of greed, short

    crypto · −76.3 pts/yr · 324 trades · corrected q 1.000

    Source, p-value and result file
    Source
    c1031/cryptoderiv
    p-value
    1.000
    Corrected q
    1.000
  • Fear plus open-interest purge: buy

    crypto · −87.7 pts/yr · 166 trades · corrected q 1.000

    Source, p-value and result file
    Source
    c1031/cryptoderiv
    p-value
    1.000
    Corrected q
    1.000
  • Trend with an exit when greed and record open interest coincide

    crypto · −88.6 pts/yr · 384 trades · corrected q 1.000

    Source, p-value and result file
    Source
    Baker & Wurgler 2006 (sentiment peaks); Adrian & Shin 2010 (leverage peaks); crypto desk 'euphoria + OI ATH' warnings
    p-value
    1.000
    Corrected q
    1.000
  • Greed plus open-interest exit: distribution short

    crypto · −96.0 pts/yr · 172 trades · corrected q 1.000

    Source, p-value and result file
    Source
    c1031/cryptoderiv
    p-value
    1.000
    Corrected q
    1.000
How to read these results

"Vs benchmark" is the strategy's annualized return minus an equal-weight benchmark, rebalanced daily, on the same assets and days. Strategies are charged trading costs; the benchmark pays none. Ahead is not a confirmed edge: the p-value is the unadjusted chance of a gap this large by luck, and the corrected q allows for how many strategies were tried, because testing hundreds of ideas throws up lucky winners. Every strategy saw only data up to the same cutoff date. The receipt is the frozen result file for that rule.

"Sample" is trades for rules that enter and exit a position, and rebalances for portfolio rules. A rebalance is a scheduled date on which a portfolio rule re-ranks and held at least one position. It is the sample size for portfolio rules. A holdings change is a rebalance where what the portfolio held, or its weights, differed from the previous one. Only these cost money to trade. The two are different counts and are never swapped. Definitions.

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