Published: 2026-09-20 By HolyGrail Research Team

10-Year Empirical Accuracy Study: Precision, Recall & Asymmetric Upside

To quantify the statistical reliability of the HolyGrail weekly momentum framework, our quantitative research team conducted an exhaustive 10-year empirical study across large-cap US equities (S&P 500 universe).

This research measures the precision (hit rate), macro recall (opportunity capture), holding period expansion, and risk asymmetry of confirmed Holy Grail (Complete) and Second Chance (Retest) setups over a 1-year (52-week) post-confirmation horizon.

Status Notice: This quantitative research study was conducted by the HolyGrail Markets Research Team using finalized weekly candlestick data. HolyGrail provides 100% ad-free stock news and institutional research. Historical performance is not a guarantee of future results; all technical setups require non-hindsight invalidation levels. See Disclaimers.

1. Executive Summary & Core Findings

Across 285 distinct non-overlapping setup cycles identified over 10 years:

MetricComplete Setup (Breakout)Second Chance (Retest)Combined Benchmark
Total Setups Evaluated21966285
Hit ≥ +15% in 1 Year16151212 (74.4%)
Hit ≥ +25% in 1 Year10845153 (53.7%)
Avg Max Gain (All)+35.0%+65.3%+42.0%
Median Max Gain+24.8%+34.1%+27.2%
Avg Max Gain (Winners)+44.7%+82.5%+53.8%
Avg Max Gain (Failed)+7.6%+8.4%+7.8%
Avg 1-Year Net Return+21.4%+37.8%+25.2%

2. Definitions: Precision vs. Recall in Trading Systems

In statistical evaluation and machine learning, Precision and Recall measure two complementary dimensions of predictive quality:

"When Holy Grail tells me to buy, what percentage of the time does the stock actually gain ≥ X%?"
"Of all the times stocks in the market gained ≥ X%, what percentage did Holy Grail identify at the base?"

3. Test Methodology & Systematic Rules

To prevent statistical curve-fitting and eliminate lookahead bias, the evaluation adhered to strict systematic standards:

  1. Universe & Timeframe: 10 years of weekly historical candlestick data across liquid institutional equities in the S&P 500.
  2. Setup Isolation (Cooldown Window): When multiple consecutive weekly bars triggered Holy Grail or Second Chance signals on the same ticker, the earliest setup per cycle was recorded as the entry mark, enforcing a 52-week cooldown period between evaluation cycles.
  3. Target Criteria: Whether the stock's subsequent highest weekly price within the next 52 weeks (max(high[t+1 : t+52])) reached or exceeded the specified threshold relative to the confirmation weekly close (entry_close).
  4. Standard Indicator Parameters:

4. Precision & Recall Distribution Across Profit Milestones

How do accuracy and capture rates shift as target milestones increase? The empirical distribution table below breaks down performance across key expansion hurdles:

1-Year Expansion TargetTotal Setups Reaching TargetCombined Precision (Hit Rate)Complete Setup PrecisionSecond Chance PrecisionMacro Recall (Market Capture)
≥ +10%238 / 28583.5%82.2%87.9%~6.5%
≥ +15%212 / 28574.4%73.5%77.3%~6.3%
≥ +20%179 / 28562.8%59.8%72.7%~6.1%
≥ +25%153 / 28553.7%49.3%68.2%~6.0%
≥ +30%132 / 28546.3%41.6%62.1%~5.9%
≥ +40%87 / 28530.5%25.1%48.5%~5.4%
≥ +50%69 / 28524.2%19.6%39.4%~4.8%

5. Why Second Chance Setups Deliver Higher Precision

A critical observation from this study is the structural outperformance of Second Chance setups over initial Complete Breakouts:

The Structural Mechanism

  1. Initial Breakouts Carry Shakeout Risk: When a stock first breaks out from a lengthy multi-month base, short-term profit takers and overhead supply often test the commitment of institutional buyers.
  2. Retest Confirms Real Institutional Support: A Second Chance setup occurs only after the stock successfully pulls back to the rising 50WMA / EMA cloud without breaking structural support, confirming that institutional accumulation is active.
  3. Lower Risk Invalidation Point: Entry occurs close to the structural moving average, allowing for tight stop-loss placement relative to upside targets.

6. Asymmetric Risk-Reward Profile

One of the defining attributes of a viable trading framework is positive risk asymmetry.

AMD Weekly Momentum Retest Chart
AMD Weekly Momentum Retest Chart

In this 10-year dataset:

Because the HolyGrail framework mandates a structural invalidation stop below the 50WMA (typically 4% to 8% below entry), the realized reward-to-risk ratio averages approximately 4:1 to 6:1, meaning traders do not require impossible win rates to achieve compounding edge.


7. Notable Historical Case Studies

Below are notable multi-bagger expansions captured by the earliest trigger rule:

TickerTrigger DateSetup TypeEntry Close1-Year Max Gain1-Year Net Return
Micron Technology (MU)2025-06-02Second Chance$108.56+903.4%+695.9%
Intel Corporation (INTC)2025-08-18Complete Setup$24.80+474.0%+263.2%
Lam Research (LRCX)2025-06-02Second Chance$86.35+300.9%+251.2%
Advanced Micro Devices (AMD)2025-06-23Complete Setup$143.81+291.5%+262.7%
NVIDIA Corporation (NVDA)2023-01-16Second Chance$17.84+233.5%+233.5%
NVIDIA Corporation (NVDA)2019-09-30Second Chance$4.55+223.7%+187.1%
Advanced Micro Devices (AMD)2023-03-06Second Chance$82.67+174.9%+150.9%
Applied Materials (AMAT)2020-06-15Second Chance$60.95+139.5%+115.3%
Eli Lilly (LLY)2023-03-27Complete Setup$343.42+133.2%+126.5%

8. Practical Takeaways for Investors & Traders

  1. Target Realistic Horizons: The 6-to-12 month timeframe allows weekly institutional accumulation cycles to unfold cleanly without intra-day noise.
  2. Prioritize Second Chance Retests: When screening the S&P 500 or Russell universes, give extra weighting to setups testing the 50WMA following a prior base breakout.
  3. Respect Invalidation Stops: Because failed setups peak near +7.8% before rolling over, trailing stops anchored to the 50WMA protect capital while letting multi-baggers compound.

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