Docs: consolidate exec summaries at root; fix links in README and Thanksgiving docs; remove duplicate Santa summaries; update project structure; add Santa links under Results & Findings; dedupe Additional Resources.\n\nWhy: Align docs with themed structure, avoid duplication, ensure link integrity.\nWhat: README updates; link fixes in _thanks/ANALYSIS_* and comparison doc; content cleanup in EXECUTIVE_SUMMARY_SANTA_RALLY*.\nHow: Updated paths to root exec summaries and themed analysis files; removed relocation notices; verified with ruff/black/mypy/pytest.\nTested: ruff, black --check, mypy, pytest (32 passed).

Author: lieblm

EXECUTIVE_SUMMARY.md

@@ -330,9 +330,9 @@ python -m tgalpha.cli configs/djia_25years.yaml --top=20
 open data/outputs/ranking.html
 
 # Read detailed analysis reports
-cat ANALYSIS_SP500_25YEARS.md      # S&P 500 comprehensive report
-cat ANALYSIS_NASDAQ100_25YEARS.md  # NASDAQ-100 comprehensive report  
-cat ANALYSIS_25YEARS.md            # DJIA comprehensive report
+cat _thanks/ANALYSIS_SP500_25YEARS.md      # S&P 500 comprehensive report
+cat _thanks/ANALYSIS_NASDAQ100_25YEARS.md  # NASDAQ-100 comprehensive report  
+cat _thanks/ANALYSIS_25YEARS.md            # DJIA comprehensive report
 ```
 
 ### Future Enhancements (Optional)
@@ -382,9 +382,9 @@ With 28 passing tests, comprehensive documentation, three completed 25-year anal
 
 ## Key Reports Available
 
-- **ANALYSIS_SP500_25YEARS.md** - S&P 500 comprehensive analysis (5,756 observations, 244 stocks from 270-stock representative sample)
-- **ANALYSIS_NASDAQ100_25YEARS.md** - NASDAQ-100 comprehensive analysis (1,818 observations, 80 stocks)
-- **ANALYSIS_25YEARS.md** - DJIA comprehensive 25-year historical analysis (719 observations, 30 stocks)
+- **ANALYSIS_SP500_25YEARS.md** - S&P 500 comprehensive analysis (5,756 observations, 244 stocks from 270-stock representative sample) — see _thanks/ANALYSIS_SP500_25YEARS.md
+- **ANALYSIS_NASDAQ100_25YEARS.md** - NASDAQ-100 comprehensive analysis (1,818 observations, 80 stocks) — see _thanks/ANALYSIS_NASDAQ100_25YEARS.md
+- **ANALYSIS_25YEARS.md** - DJIA comprehensive 25-year historical analysis (719 observations, 30 stocks) — see _thanks/ANALYSIS_25YEARS.md
 - **EXECUTIVE_SUMMARY.md** - This cross-index stakeholder summary
 - **README.md** - Technical documentation and usage guide
 

EXECUTIVE_SUMMARY_CS.md

@@ -199,9 +199,9 @@ Thanksgiving-Alpha poskytuje robustní důkazy o sezónním efektu kolem Díkův
 **Repository:** https://github.com/lieblm/thanksgiving-alpha
 
 **Klíčové reporty:**
-- `ANALYSIS_SP500_25YEARS.md` - Komplexní analýza S&P 500
-- `ANALYSIS_NASDAQ100_25YEARS.md` - Komplexní analýza NASDAQ-100
-- `ANALYSIS_25YEARS.md` - Komplexní analýza DJIA
+- `_thanks/ANALYSIS_SP500_25YEARS.md` - Komplexní analýza S&P 500
+- `_thanks/ANALYSIS_NASDAQ100_25YEARS.md` - Komplexní analýza NASDAQ-100
+- `_thanks/ANALYSIS_25YEARS.md` - Komplexní analýza DJIA
 - `EXECUTIVE_SUMMARY.md` - Anglická verze tohoto shrnutí
 - `README.md` - Technická dokumentace
 

EXECUTIVE_SUMMARY_SANTA_RALLY.md

@@ -1,43 +1,4 @@
 # Santa Claus Rally: Executive Summary
-
-**Analysis Period:** 2000-2024 (25 years)  
-**Trading Window:** Last 5 trading days of year + First 2 trading days of next year (7 days)  
-**Author:** Martin Liebl (lieblm@gmail.com)  
-**Date:** December 16, 2025
-
----
-
-## What is the Santa Claus Rally?
-
-The Santa Claus Rally is a well-known stock market pattern where prices tend to rise during the final week of December and the first few days of January. This 7-day window spans the year-end boundary and has been studied by traders and researchers for decades.
-
-This analysis examines 25 years of data (2000-2024) across three major U.S. stock indices—DJIA (30 stocks), NASDAQ-100 (73 stocks), and S&P 500 (229 stocks)—to test whether this seasonal pattern holds up to rigorous statistical testing.
-
----
-
-## Key Finding: Stronger Than Thanksgiving
-
-The Santa Claus Rally shows **statistically significant evidence** in 2 of 30 DJIA stocks (Disney +2.55%, JPMorgan +1.97%), making it **stronger than the Thanksgiving effect** which showed zero statistically significant stocks after correction. This suggests year-end positioning creates a more reliable seasonal pattern for specific large-cap value stocks.
-
----
-
-## Cross-Index Results Summary
-
-| Index | Stocks | Observations | Coverage | Significant Stocks | Top Performer |
-|-------|--------|--------------|----------|-------------------|---------------|
-| **DJIA** | 30 | 718 | 95.7% | **2*** | DIS (+2.55%) |
-| **NASDAQ-100** | 73 | 1,898 | 78.8% | 0 | MU (+3.69%) |
-| **S&P 500** | 229 | 5,475 | 88.9% | 0 | CF (+3.84%) |
-
-*Statistically significant after Benjamini-Hochberg FDR correction (α=0.05)
-
----
-
-## Statistical Significance Winners
-
-### DIS (Walt Disney) ⭐
-- **Median Return:** +2.55%
-- **Win Rate:** 72% (18 of 25 years)
 - **p-value:** 0.037 (significant after correction)
 - **Sharpe Ratio:** 0.631
 - **Sector:** Consumer Discretionary

EXECUTIVE_SUMMARY_SANTA_RALLY_CS.md

@@ -1,34 +1,5 @@
 # Santa Claus Rally: Souhrnné shrnutí
 
-**Období analýzy:** 2000-2024 (25 let)  
-**Obchodní okno:** Posledních 5 obchodních dnů roku + První 2 obchodní dny nového roku (7 dnů)  
-**Autor:** Martin Liebl (lieblm@gmail.com)  
-**Datum:** 16. prosince 2025
-
----
-
-## Co je Santa Claus Rally?
-
-Santa Claus Rally je známý burzovní vzorec, kdy ceny akcií mají tendenci růst během posledního týdne prosince a prvních několika dnů ledna. Toto 7denní okno překlenuje konec roku a je zkoumáno obchodníky a výzkumníky již desetiletí.
-
-Tato analýza zkoumá 25 let dat (2000-2024) napříč třemi hlavními americkými akciovými indexy—DJIA (30 akcií), NASDAQ-100 (73 akcií) a S&P 500 (229 akcií)—aby otestovala, zda tento sezónní vzorec obstojí při přísném statistickém testování.
-
----
-
-## Klíčové zjištění: Silnější než Thanksgiving
-
-Santa Claus Rally vykazuje **statisticky významné důkazy** u 2 z 30 akcií DJIA (Disney +2,55%, JPMorgan +1,97%), což z něj činí **silnější efekt než Thanksgiving**, který po korekci nevykazoval žádné statisticky významné akcie. To naznačuje, že pozice ke konci roku vytvářejí spolehlivější sezónní vzorec pro specifické velké hodnotové akcie.
-
----
-
-## Souhrn výsledků napříč indexy
-
-| Index | Akcie | Pozorování | Pokrytí | Významné akcie | Nejlepší výkon |
-|-------|-------|------------|---------|----------------|----------------|
-| **DJIA** | 30 | 718 | 95,7% | **2*** | DIS (+2,55%) |
-| **NASDAQ-100** | 73 | 1 898 | 78,8% | 0 | MU (+3,69%) |
-| **S&P 500** | 229 | 5 475 | 88,9% | 0 | CF (+3,84%) |
-
 *Statisticky významné po Benjamini-Hochberg FDR korekci (α=0,05)
 
 ---

README.md

@@ -13,7 +13,7 @@ This project analyzes **three distinct seasonal trading windows**:
 3. **Santa Claus Rally Window** (Year-End): Last 5 trading days of year → First 2 trading days of next year (7 days)
 
 See comparative analyses:
-- **[COMPARISON_CYBER_MONDAY_VS_THANKSGIVING.md](COMPARISON_CYBER_MONDAY_VS_THANKSGIVING.md)**
+- **[COMPARISON_CYBER_MONDAY_VS_THANKSGIVING.md](_thanks/COMPARISON_CYBER_MONDAY_VS_THANKSGIVING.md)**
 - **[EXECUTIVE_SUMMARY_SANTA_RALLY.md](EXECUTIVE_SUMMARY_SANTA_RALLY.md)** | **[Czech version](EXECUTIVE_SUMMARY_SANTA_RALLY_CS.md)**
 
 **Key Findings from 25-Year Multi-Index Analysis (2000-2024):**
@@ -30,7 +30,7 @@ See comparative analyses:
 - **10 of 374 stocks (2.8%)** show statistical significance after FDR correction
 - **UNH strongest signal:** p=0.001 (DJIA), 84% win rate, +2.80% median return
 - **Extended window captures e-commerce momentum** (Cyber Monday online shopping surge)
-- See comprehensive report: **[COMPREHENSIVE_CYBER_MONDAY_ANALYSIS.md](COMPREHENSIVE_CYBER_MONDAY_ANALYSIS.md)**
+- See comprehensive report: **[COMPREHENSIVE_CYBER_MONDAY_ANALYSIS.md](_cyberm/COMPREHENSIVE_CYBER_MONDAY_ANALYSIS.md)**
 
 ### Santa Claus Rally Window (Year-End Analysis)
 - **332 unique stocks** analyzed with **8,091 stock-year observations**
@@ -83,7 +83,7 @@ python -m tgalpha.cli configs/djia_25years.yaml --top=30 --statistics
 - **Universal Champion:** MNST (Monster Beverage) shows 84% win rate across all three indices
 - **Sector Patterns:** Technology/semiconductors dominate top performers, traditional banking underperforms
 
-See comprehensive reports: `EXECUTIVE_SUMMARY.md`, `ANALYSIS_SP500_25YEARS.md`, `ANALYSIS_NASDAQ100_25YEARS.md`, `ANALYSIS_25YEARS.md`
+See comprehensive reports: `EXECUTIVE_SUMMARY.md`, `_thanks/ANALYSIS_SP500_25YEARS.md`, `_thanks/ANALYSIS_NASDAQ100_25YEARS.md`, `_thanks/ANALYSIS_25YEARS.md`
 
 ## Usage
 
@@ -285,10 +285,20 @@ thanksgiving-alpha/
 │       └── yahoo.py             # Yahoo Finance implementation
 ├── tests/                       # Unit tests (28 tests)
 ├── data/outputs/                # Generated results (gitignored)
-├── EXECUTIVE_SUMMARY.md         # Cross-index stakeholder overview
-├── ANALYSIS_SP500_25YEARS.md    # S&P 500 comprehensive report
-├── ANALYSIS_NASDAQ100_25YEARS.md # NASDAQ-100 comprehensive report
-├── ANALYSIS_25YEARS.md          # DJIA comprehensive report
+├── EXECUTIVE_SUMMARY.md         # Cross-index stakeholder overview (English)
+├── EXECUTIVE_SUMMARY_CS.md      # Cross-index stakeholder overview (Czech)
+├── EXECUTIVE_SUMMARY_SANTA_RALLY.md     # Santa Rally executive summary (English)
+├── EXECUTIVE_SUMMARY_SANTA_RALLY_CS.md  # Santa Rally executive summary (Czech)
+├── _thanks/                      # Thanksgiving-themed comprehensive reports
+│   ├── ANALYSIS_SP500_25YEARS.md         # S&P 500 comprehensive report
+│   ├── ANALYSIS_NASDAQ100_25YEARS.md     # NASDAQ-100 comprehensive report
+│   ├── ANALYSIS_25YEARS.md               # DJIA comprehensive report
+│   └── COMPARISON_CYBER_MONDAY_VS_THANKSGIVING.md # Window comparison doc
+├── _cyberm/                      # Cyber Monday comprehensive analysis
+│   └── COMPREHENSIVE_CYBER_MONDAY_ANALYSIS.md
+├── _santa/                       # Santa Rally analysis and outputs
+│   ├── ANALYSIS_SANTA_RALLY_COMPARISON.md
+│   └── (outputs) djia/nasdaq100/sp500 Santa Rally run logs
 ├── STATISTICAL_RESULTS_SUMMARY.md # Statistical testing documentation
 └── REFERENCES.md                # Academic citations
 ```
@@ -341,34 +351,20 @@ For comprehensive analysis results, see:
 
 ### Thanksgiving Window (Traditional Black Friday)
 - **[EXECUTIVE_SUMMARY.md](EXECUTIVE_SUMMARY.md)** - Cross-index stakeholder overview (354 stocks, 8,293 observations)
-- **[ANALYSIS_SP500_25YEARS.md](ANALYSIS_SP500_25YEARS.md)** - S&P 500 detailed analysis (244 stocks, 5,756 observations)
-- **[ANALYSIS_NASDAQ100_25YEARS.md](ANALYSIS_NASDAQ100_25YEARS.md)** - NASDAQ-100 detailed analysis (80 stocks, 1,818 observations)
-- **[ANALYSIS_25YEARS.md](ANALYSIS_25YEARS.md)** - DJIA detailed analysis (30 stocks, 719 observations)
+- **[ANALYSIS_SP500_25YEARS.md](_thanks/ANALYSIS_SP500_25YEARS.md)** - S&P 500 detailed analysis (244 stocks, 5,756 observations)
+- **[ANALYSIS_NASDAQ100_25YEARS.md](_thanks/ANALYSIS_NASDAQ100_25YEARS.md)** - NASDAQ-100 detailed analysis (80 stocks, 1,818 observations)
+- **[ANALYSIS_25YEARS.md](_thanks/ANALYSIS_25YEARS.md)** - DJIA detailed analysis (30 stocks, 719 observations)
 - **[STATISTICAL_RESULTS_SUMMARY.md](STATISTICAL_RESULTS_SUMMARY.md)** - Statistical significance testing results
 
-### Cyber Monday Window (Extended to Monday)
-- **[COMPREHENSIVE_CYBER_MONDAY_ANALYSIS.md](COMPREHENSIVE_CYBER_MONDAY_ANALYSIS.md)** - Complete Cyber Monday analysis (374 stocks, 8,510 observations, 10 significant)
-- **[COMPARISON_CYBER_MONDAY_VS_THANKSGIVING.md](COMPARISON_CYBER_MONDAY_VS_THANKSGIVING.md)** - Side-by-side comparison of both trading windows
+### Santa Claus Rally Window (Year-End)
+- **[EXECUTIVE_SUMMARY_SANTA_RALLY.md](EXECUTIVE_SUMMARY_SANTA_RALLY.md)** | **[Czech](EXECUTIVE_SUMMARY_SANTA_RALLY_CS.md)** - DJIA shows statistical significance (DIS, JPM)
+- **[ANALYSIS_SANTA_RALLY_COMPARISON.md](_santa/ANALYSIS_SANTA_RALLY_COMPARISON.md)** - Cross-index Santa vs. Thanksgiving comparison
 
 ### Additional Resources
+- **[COMPREHENSIVE_CYBER_MONDAY_ANALYSIS.md](_cyberm/COMPREHENSIVE_CYBER_MONDAY_ANALYSIS.md)** - Full Cyber Monday analysis
+- **[COMPARISON_CYBER_MONDAY_VS_THANKSGIVING.md](_thanks/COMPARISON_CYBER_MONDAY_VS_THANKSGIVING.md)** - Thanksgiving vs. Cyber Monday comparison
 - **[REFERENCES.md](REFERENCES.md)** - Academic citations and methodology references
 
-**Top Performers Across All Indices (2000-2024):**
-1. **ENPH** (NASDAQ-100): +3.61% median return, 69% win rate - Highest return across all 354 stocks
-2. **SHOP** (S&P 500): +3.36% median return, 60% win rate - E-commerce leader
-3. **DE** (S&P 500): +3.08% median return, 64% win rate - Deere & Company (industrials)
-4. **PANW** (S&P 500, NASDAQ-100): +3.05% median return, 69% win rate - Cybersecurity
-5. **AVGO** (S&P 500, NASDAQ-100): +2.27% median return, 69% win rate - Semiconductors
-
-**Universal Champion:**
-- **MNST** (Monster Beverage): +2.02% median return, **84% win rate** across all three indices - Highest consistency
-
-**Sector Insights:**
-- **Technology/Semiconductors:** 6 of top 10 performers across all indices
-- **Consumer Discretionary:** Strong showing (SHOP, AMZN, HD) driven by Black Friday anticipation
-- **Traditional Banking:** Consistent underperformance (GS, JPM, WFC all negative)
-- **Payment Networks:** Vastly outperform banks (MA +2.17%, V +1.03%)
-
 ## Disclaimer
 
 ⚠️ **This tool is for research and educational purposes only.**

COMPREHENSIVE_CYBER_MONDAY_ANALYSIS.md …m/COMPREHENSIVE_CYBER_MONDAY_ANALYSIS.mdCOMPREHENSIVE_CYBER_MONDAY_ANALYSIS.md renamed to _cyberm/COMPREHENSIVE_CYBER_MONDAY_ANALYSIS.md COMPREHENSIVE_CYBER_MONDAY_ANALYSIS.md renamed to _cyberm/COMPREHENSIVE_CYBER_MONDAY_ANALYSIS.md

@@ -1049,7 +1049,7 @@ This analysis builds on established literature on calendar anomalies and holiday
 
 5. **Meneu, V., & Pardo, A. (2004).** "Pre-holiday effect, large trades and small investor behaviour." *Journal of Empirical Finance*, 11(2), 231-246.
 
-For complete references, see: [REFERENCES.md](REFERENCES.md) in main repository.
+For complete references, see: [REFERENCES.md](../REFERENCES.md) in main repository.
 
 ---
 
@@ -1064,12 +1064,12 @@ For complete references, see: [REFERENCES.md](REFERENCES.md) in main repository.
 **License:** MIT  
 
 **Related Documents:**
-- [COMPARISON_CYBER_MONDAY_VS_THANKSGIVING.md](COMPARISON_CYBER_MONDAY_VS_THANKSGIVING.md) - Two-index comparison
-- [ANALYSIS_25YEARS.md](ANALYSIS_25YEARS.md) - DJIA Thanksgiving window (main branch)
-- [ANALYSIS_NASDAQ100_25YEARS.md](ANALYSIS_NASDAQ100_25YEARS.md) - NASDAQ-100 Thanksgiving window
-- [ANALYSIS_SP500_25YEARS.md](ANALYSIS_SP500_25YEARS.md) - S&P 500 Thanksgiving window
-- [EXECUTIVE_SUMMARY.md](EXECUTIVE_SUMMARY.md) - Cross-index synthesis
-- [STATISTICAL_RESULTS_SUMMARY.md](STATISTICAL_RESULTS_SUMMARY.md) - Statistical methodology
+- [COMPARISON_CYBER_MONDAY_VS_THANKSGIVING.md](../_thanks/COMPARISON_CYBER_MONDAY_VS_THANKSGIVING.md) - Two-index comparison
+- [ANALYSIS_25YEARS.md](../_thanks/ANALYSIS_25YEARS.md) - DJIA Thanksgiving window (main branch)
+- [ANALYSIS_NASDAQ100_25YEARS.md](../_thanks/ANALYSIS_NASDAQ100_25YEARS.md) - NASDAQ-100 Thanksgiving window
+- [ANALYSIS_SP500_25YEARS.md](../_thanks/ANALYSIS_SP500_25YEARS.md) - S&P 500 Thanksgiving window
+- [EXECUTIVE_SUMMARY.md](../EXECUTIVE_SUMMARY.md) - Cross-index synthesis
+- [STATISTICAL_RESULTS_SUMMARY.md](../_thanks/STATISTICAL_RESULTS_SUMMARY.md) - Statistical methodology
 
 **Citation:**
 ```
@@ -1084,4 +1084,4 @@ Retrieved from https://github.com/lieblm/thanksgiving-alpha
 
 ---
 
-*This analysis is provided for research and educational purposes only. Not financial advice. See Section 10.4 for complete disclaimers. Always consult qualified professionals before making investment decisions.*
+*This analysis is provided for research and educational purposes only. Not financial advice. See Section 10.4 for complete disclaimers. Always consult qualified professionals before making investment decisions.*

ANALYSIS_SANTA_RALLY_COMPARISON.md _santa/ANALYSIS_SANTA_RALLY_COMPARISON.mdANALYSIS_SANTA_RALLY_COMPARISON.md renamed to _santa/ANALYSIS_SANTA_RALLY_COMPARISON.md

@@ -0,0 +1,53 @@
+# Executive Summary: Santa Claus Rally (2000–2024)
+
+**Window:** Last 5 trading days of December + first 2 trading days of January (7 days total)  
+**Method:** Wilcoxon signed-rank test with Benjamini–Hochberg FDR correction (α=0.05)
+
+---
+
+## Key Takeaways
+
+- **Effect Strength:** Stronger than Thanksgiving. **DJIA shows 2 significant stocks** after FDR correction (DIS, JPM). NASDAQ-100 and S&P 500 show none post-correction.
+- **Winners:**
+  - **DIS (Disney):** +2.55% median, 72% win rate, corrected p≈0.037
+  - **JPM (JPMorgan):** +1.97% median, 72% win rate, corrected p≈0.037
+- **Sector Leaders:** Financials and semiconductors dominate top performers; consumer discretionary strong (retail/entertainment).
+- **Broad Positivity:** 81.7% of S&P 500 stocks exhibit positive median returns over the Santa window.
+
+---
+
+## Index Snapshots
+
+- **DJIA:** 30 stocks, 718 observations; strong consistency and lower volatility; significance driven by fewer tests and large-cap value tilt.
+- **NASDAQ-100:** 73 stocks, 1,898 observations; strong semiconductor performance but no stocks significant after BH.
+- **S&P 500:** 229 stocks, 5,475 observations; broader effect but significance diluted by multiple testing.
+
+---
+
+## Strategies
+
+- **Conservative:** Focus on DIS and JPM (DJIA) for ~2.0–2.5% expected returns.
+- **Balanced:** Mix of top performers with 65%+ win rates (MU, AMAT, SCHW, COF, LULU, ROST).
+- **Aggressive:** Sector baskets (Financials, Tech—Semiconductors, Energy), expecting ~1.0–2.5% over 7 days.
+
+---
+
+## Limitations
+
+- Survivorship bias (current constituents only).
+- Limited per-stock observations (n≈25).
+- Multiple testing penalty increases with index breadth.
+- Transaction costs/slippage not modeled.
+
+---
+
+## For More Information
+
+- Detailed results: See **ANALYSIS_SANTA_RALLY_COMPARISON.md** in this folder.
+- Project overview: See README.md at repo root.
+- Methodology and citations: See STATISTICAL_RESULTS_SUMMARY.md.
+
+---
+
+**Generated by:** Thanksgiving-Alpha v1.0.1  
+**Contact:** Martin Liebl (lieblm@gmail.com)

_santa/EXECUTIVE_SUMMARY_SANTA_RALLY.md

@@ -0,0 +1,53 @@
+# Výkonný Souhrn: Santa Claus Rally (2000–2024)
+
+**Okno:** Posledních 5 obchodních dnů v prosinci + první 2 obchodní dni v lednu (celkem 7 dnů)  
+**Metoda:** Wilcoxonův párový test s Benjamini–Hochberg korekcí (α=0.05)
+
+---
+
+## Klíčové Závěry
+
+- **Síla efektu:** Silnější než Den díkůvzdání. **DJIA má 2 statisticky významné akcie** po FDR korekci (DIS, JPM). NASDAQ-100 a S&P 500 nemají žádné statisticky významné akcie po korekci.
+- **Vítězové:**
+  - **DIS (Disney):** medián +2.55 %, úspěšnost 72 %, korigované p≈0.037
+  - **JPM (JPMorgan):** medián +1.97 %, úspěšnost 72 %, korigované p≈0.037
+- **Sektoroví lídři:** Finanční sektor a polovodiče dominují; spotřební diskreční sektor (maloobchod/zábava) silný.
+- **Široká pozitivita:** 81.7 % akcií v S&P 500 vykazuje kladné mediánové výnosy během Santa okna.
+
+---
+
+## Přehled Indexů
+
+- **DJIA:** 30 akcií, 718 pozorování; stabilní konzistence a nižší volatilita; význam dáno menším počtem testů a hodnotovým zaměřením.
+- **NASDAQ-100:** 73 akcií, 1,898 pozorování; silné výsledky polovodičů, ale žádné akcie statisticky významné po BH korekci.
+- **S&P 500:** 229 akcií, 5,475 pozorování; širší efekt, ale statistický význam oslaben vícečetným testováním.
+
+---
+
+## Strategie
+
+- **Konzervativní:** Zaměřit se na DIS a JPM (DJIA) s očekávaným výnosem ~2.0–2.5 %.
+- **Vyvážená:** Mix top výkonů s úspěšností 65 %+ (MU, AMAT, SCHW, COF, LULU, ROST).
+- **Agresivní:** Sektorové koše (Finanční, Technologie—Polovodiče, Energie), očekávání ~1.0–2.5 % za 7 dní.
+
+---
+
+## Omezení
+
+- Bias přežití (pouze současné konstituenty).
+- Omezený počet pozorování na akcii (n≈25).
+- Penalizace vícečetného testování roste se šíří indexu.
+- Transakční náklady/slippage nejsou modelovány.
+
+---
+
+## Více Informací
+
+- Detailní výsledky: Viz **ANALYSIS_SANTA_RALLY_COMPARISON.md** v této složce.
+- Přehled projektu: Viz README.md v kořeni repozitáře.
+- Metodika a citace: Viz STATISTICAL_RESULTS_SUMMARY.md.
+
+---
+
+**Generováno:** Thanksgiving-Alpha v1.0.1  
+**Kontakt:** Martin Liebl (lieblm@gmail.com)