GPN
Global Payments, Inc.
stock NYSE

What’s going to stop GPN from growing? They’re only getting stronger

Recently, I've been using a quantitative platform that allows you to avoid all the building quant infrastructure, and it generates reports of the strategies and the best trials you get based on probabilistic chart ratio, deflated chart ratio, et cetera. Can you please review my strategy and tell me how would you qualify it, and what would you change?
Also, what more information does an investor need to really believe in investing in this strategy?
_Investment report_
# positive_skew_select — Trial 118
**US Equity** · **Simulated**
- **Organization:** Fintela
- **Report date:** Aug 21, 2026
- **Data through:** Aug 13, 2026
- **Period:** Aug 2021 – Aug 2026
- **Reference:** Trial 118 · positive_skew_select · spy500 (2)
## About this report
> **Simulated** — Performance is simulated. The out-of-sample period (marked on the chart) shows results on market data the strategy was never trained on — the closest proxy to live performance. Past performance is not indicative of future results.
## Summary
_Grade B · 70/100_
Grade B · exceptional risk-adjusted returns · well-contained drawdowns.
| Metric | Value |
| --- | ---: |
| Annualized | +22.8% |
| Sharpe | 3.57 |
| Max drawdown | 7.9% |
| Volatility | 19.8% |
| Overfitting (PBO) | 52.0% |
Performance. Over Aug 2021 – Aug 2026, the portfolio returned +179.3% in total, compounding at +22.8% per year. That outpaces its benchmark (S&P 500 (SPY) +13.2% per year, +85.8% total). Its best month gained +14.8% (Nov 2023) and its worst lost -9.2% (Jan 2022). On out-of-sample data the strategy never trained on, it returned +40.5% at a Sharpe of 3.57 — the closest proxy to live performance.
Risk. On a risk-adjusted basis the portfolio delivers exceptional risk-adjusted returns (Sharpe 3.57). Its deepest peak-to-trough decline was 7.9% — well-contained drawdowns. Annualized volatility of 19.8% reflects moderate volatility. A beta of 0.91 to S&P 500 (SPY) makes it roughly as sensitive as the broad market. Robustness screening finds an elevated overfitting risk (backtest-overfitting probability 52.0%).
Outlook. The book currently holds 5 positions, led by GRMN (20.0%), PLTR (20.0%), PYPL (20.0%). Its top three holdings make up 60.0% of gross exposure, leaving it highly concentrated. Weighing return, risk, drawdown and robustness together, this portfolio earns an overall grade of B (70/100), a profile that holds up well across dimensions. These figures are simulated; past performance is not indicative of future results.
## Performance
_Portfolio vs benchmark, both starting at $100,000_
$279,322 — what $100,000 invested at the start would be worth today. The same amount in S&P 500 (SPY): $185,839 (+86%).
## Out-of-sample track record
_Since Feb 2026_
| Metric | Value |
| --- | ---: |
| Return | +40.5% |
| Sharpe | 3.57 |
| Max drawdown | 7.9% |
_Performance on data the strategy was never trained on — the closest available proxy to live results._
## Headline figures
| Metric | Value | Context |
| --- | ---: | --- |
| Total return | 179.3% | S&P 500 (SPY) +85.8% |
| Annualized (CAGR) | 22.8% | S&P 500 (SPY) +13.2% |
| Max drawdown | 7.9% | worst peak-to-trough decline |
| Sharpe ratio | 3.57 | return per unit of risk |
## Versus the market
_Measured against S&P 500 (SPY)_
| Metric | Value |
| --- | ---: |
| Alpha | 0.093 |
| Beta | 0.914 |
| Up capture | 93.6% |
| Down capture | 83.4% |
| Correlation | 0.745 |
## Composition
_As of Aug 13, 2026_
| Symbol | Side | Weight | Change |
| --- | --- | ---: | ---: |
| GRMN | LONG | 20.0% | +0.00 pp |
| PLTR | LONG | 20.0% | +0.00 pp |
| PYPL | LONG | 20.0% | +0.00 pp |
| TECH | LONG | 20.0% | +0.00 pp |
| ZBRA | LONG | 20.0% | +0.00 pp |
_Sector allocation_
| Bucket | Gross | Net |
| --- | ---: | ---: |
| Technology | 60.0% | +60.0% |
| Financial Services | 20.0% | +20.0% |
| Healthcare | 20.0% | +20.0% |
_Asset type_
| Bucket | Gross | Net |
| --- | ---: | ---: |
| Common Stock | 100.0% | +100.0% |
## Traded assets — full history
_230 assets · 583 trades_
| Symbol | trades | Contribution |
| --- | ---: | ---: |
| SMCI | 4 | +8.3% |
| DDOG | 7 | +6.9% |
| META | 7 | +6.7% |
| CHRW | 3 | +5.7% |
| ULTA | 8 | +5.6% |
| DVA | 4 | +4.7% |
| MSFT | 2 | +4.7% |
| ROST | 8 | +4.7% |
| QCOM | 2 | +4.4% |
| IT | 6 | +4.2% |
| SATS | 6 | +4.0% |
| ANET | 1 | +3.6% |
| CIEN | 9 | +3.1% |
| SNPS | 3 | +3.0% |
| PLTR | 3 | +3.0% |
| DELL | 5 | +2.8% |
| DLTR | 5 | +2.7% |
| ERIE | 2 | +2.7% |
| AOS | 3 | +2.7% |
| LYV | 5 | +2.6% |
| VRT | 2 | +2.6% |
| VEEV | 7 | +2.5% |
| PYPL | 2 | +2.4% |
| NVDA | 2 | +2.4% |
| AXON | 8 | +2.4% |
| CVNA | 2 | +2.4% |
| OXY | 4 | +2.2% |
| VRTX | 4 | +2.2% |
| PFE | 1 | +2.2% |
| TXN | 2 | +2.1% |
| KEYS | 1 | +2.1% |
| DOC | 1 | +2.0% |
| WDAY | 6 | +2.0% |
| FTNT | 1 | +2.0% |
| MKC | 1 | +2.0% |
| TPL | 1 | +1.9% |
| INTC | 1 | +1.9% |
| BIIB | 1 | +1.8% |
| URI | 1 | +1.8% |
| WSM | 5 | +1.8% |
| DE | 1 | +1.7% |
| CRWD | 1 | +1.7% |
| SNA | 1 | +1.7% |
| HPQ | 2 | +1.6% |
| LULU | 7 | +1.6% |
| PWR | 2 | +1.6% |
| GILD | 1 | +1.6% |
| GM | 4 | +1.6% |
| LMT | 3 | +1.6% |
| FIX | 2 | +1.5% |
| TGT | 6 | +1.5% |
| GDDY | 3 | +1.5% |
| LUV | 1 | +1.5% |
| MNST | 2 | +1.5% |
| GRMN | 8 | +1.4% |
| FAST | 1 | +1.4% |
| SJM | 2 | +1.4% |
| STT | 2 | +1.3% |
| SBUX | 2 | +1.3% |
| VZ | 3 | +1.3% |
| TTWO | 4 | +1.3% |
| PANW | 3 | +1.3% |
| TPR | 5 | +1.2% |
| JBL | 2 | +1.2% |
| MCHP | 1 | +1.2% |
| CTVA | 3 | +1.1% |
| HUM | 2 | +1.1% |
| CI | 1 | +1.1% |
| DXCM | 7 | +1.1% |
| REGN | 1 | +1.1% |
| MMM | 1 | +1.1% |
| PKG | 3 | +1.0% |
| EQIX | 1 | +1.0% |
| APD | 2 | +1.0% |
| NOW | 2 | +1.0% |
| IQV | 3 | +1.0% |
| DGX | 2 | +0.9% |
| EA | 2 | +0.9% |
| TJX | 1 | +0.8% |
| HCA | 1 | +0.8% |
| WBD | 3 | +0.8% |
| EBAY | 2 | +0.8% |
| ABNB | 1 | +0.8% |
| BK | 2 | +0.8% |
| RMD | 3 | +0.7% |
| RL | 1 | +0.7% |
| VST | 4 | +0.7% |
| HSIC | 1 | +0.7% |
| CSGP | 1 | +0.7% |
| LVS | 2 | +0.7% |
| NKE | 2 | +0.7% |
| SBAC | 3 | +0.6% |
| HWM | 1 | +0.6% |
| ROL | 6 | +0.6% |
| NRG | 1 | +0.6% |
| GWW | 3 | +0.6% |
| WAT | 3 | +0.6% |
| KMB | 1 | +0.5% |
| TXT | 3 | +0.5% |
| BAC | 1 | +0.5% |
| SHW | 1 | +0.5% |
| WFC | 1 | +0.5% |
| SYF | 2 | +0.5% |
| NOC | 4 | +0.5% |
| JNJ | 1 | +0.5% |
| CMG | 5 | +0.5% |
| MRK | 3 | +0.5% |
| GEN | 3 | +0.4% |
| KR | 3 | +0.4% |
| T | 2 | +0.4% |
| CPRT | 1 | +0.4% |
| ZBRA | 1 | +0.4% |
| VTRS | 1 | +0.4% |
| LEN | 1 | +0.4% |
| TEL | 1 | +0.4% |
| XEL | 1 | +0.3% |
| TSLA | 1 | +0.3% |
| AMCR | 1 | +0.3% |
| TMUS | 2 | +0.3% |
| UHS | 1 | +0.3% |
| ALLE | 1 | +0.3% |
| VMC | 1 | +0.3% |
| BLDR | 1 | +0.3% |
| STE | 3 | +0.3% |
| GD | 2 | +0.3% |
| CTAS | 1 | +0.2% |
| INTU | 3 | +0.2% |
| CINF | 1 | +0.2% |
| PGR | 2 | +0.2% |
| CLX | 1 | +0.2% |
| ECL | 1 | +0.2% |
| AON | 1 | +0.1% |
| A | 1 | +0.1% |
| CVS | 3 | +0.1% |
| EME | 1 | +0.1% |
| DRI | 2 | +0.1% |
| CMCSA | 1 | +0.1% |
| CRM | 3 | +0.1% |
| FOX | 1 | +0.1% |
| INCY | 1 | +0.1% |
| BG | 2 | +0.1% |
| TECH | 2 | -0.0% |
| EMR | 2 | -0.0% |
| WAB | 2 | -0.0% |
| GPN | 2 | -0.0% |
| PM | 3 | -0.0% |
| AVY | 1 | -0.1% |
| STZ | 1 | -0.1% |
| TRV | 1 | -0.1% |
| GLW | 1 | -0.1% |
| CAH | 1 | -0.1% |
| FFIV | 2 | -0.1% |
| EXPD | 1 | -0.1% |
| NFLX | 3 | -0.1% |
| IP | 1 | -0.1% |
| JBHT | 4 | -0.1% |
| WTW | 4 | -0.1% |
| YUM | 1 | -0.1% |
| SCHW | 1 | -0.1% |
| RTX | 1 | -0.2% |
| TKO | 2 | -0.2% |
| CCL | 2 | -0.2% |
| HSY | 1 | -0.2% |
| ADBE | 2 | -0.2% |
| TRMB | 2 | -0.2% |
| PHM | 2 | -0.2% |
| WM | 2 | -0.3% |
| GOOGL | 1 | -0.3% |
| FOXA | 1 | -0.3% |
| HST | 1 | -0.3% |
| DLR | 1 | -0.3% |
| IVZ | 2 | -0.3% |
| PCAR | 2 | -0.4% |
| COHR | 1 | -0.4% |
| ISRG | 5 | -0.4% |
| XYL | 2 | -0.4% |
| EXR | 1 | -0.4% |
| SYY | 5 | -0.4% |
| DIS | 1 | -0.4% |
| CFG | 1 | -0.4% |
| DECK | 4 | -0.5% |
| EQT | 1 | -0.5% |
| BA | 1 | -0.6% |
| FSLR | 3 | -0.6% |
| HPE | 1 | -0.6% |
| AKAM | 2 | -0.7% |
| NXPI | 3 | -0.8% |
| FICO | 3 | -0.8% |
| BR | 1 | -0.8% |
| WST | 2 | -0.9% |
| DPZ | 6 | -0.9% |
| TAP | 1 | -0.9% |
| NTAP | 6 | -0.9% |
| BALL | 6 | -1.0% |
| AMGN | 1 | -1.0% |
| CAT | 1 | -1.1% |
| DG | 2 | -1.2% |
| MCK | 3 | -1.2% |
| COO | 2 | -1.3% |
| HAS | 7 | -1.3% |
| FDX | 2 | -1.3% |
| UPS | 1 | -1.4% |
| HBAN | 1 | -1.5% |
| UNP | 5 | -1.5% |
| KEY | 1 | -1.6% |
| CASY | 5 | -1.7% |
| TSN | 4 | -1.7% |
| PTC | 1 | -1.7% |
| MTD | 3 | -1.8% |
| LHX | 1 | -1.8% |
| V | 3 | -1.9% |
| BBY | 3 | -1.9% |
| GPC | 2 | -1.9% |
| UBER | 2 | -2.0% |
| LLY | 6 | -2.1% |
| HII | 1 | -2.2% |
| PODD | 6 | -2.3% |
| PSKY | 6 | -2.4% |
| AVGO | 1 | -2.6% |
| C | 3 | -2.6% |
| IBM | 4 | -2.7% |
| IDXX | 4 | -3.0% |
| ALGN | 1 | -3.3% |
| OMC | 2 | -3.6% |
| ROK | 5 | -4.4% |
| WDC | 3 | -4.7% |
| TTD | 3 | -5.5% |
| EXPE | 4 | -5.6% |
| MGM | 5 | -6.1% |
| ORCL | 8 | -7.5% |
_Return contribution is each asset’s summed realized P&L as a share of capital. Total realized from closed trades: +96.0%_
## Year by year
_Strategy vs S&P 500 (SPY)_
| Year | Strategy | S&P 500 (SPY) | Excess |
| --- | ---: | ---: | ---: |
| 2021 | +21.9% | +28.7% | -6.9% |
| 2022 | -17.7% | -18.2% | +0.5% |
| 2023 | +40.3% | +26.2% | +14.2% |
| 2024 | +21.0% | +24.9% | -3.9% |
| 2025 | +14.0% | +17.7% | -3.7% |
| 2026 | +43.9% | +12.9% | +31.0% |
## Robustness
Robustness screen: Overfit risk
---
_Hypothetical / simulated performance. These results are derived from a historical simulation and do not represent trading in a live account. Simulated results have inherent limitations: they benefit from hindsight and do not reflect real order execution, slippage, liquidity, or financing costs. Returns are shown gross of fees, which would reduce them. Past performance — actual or simulated — is not indicative of future results. For informational purposes only; not an offer or solicitation to buy any security._

GPN

What’s going to stop GPN from growing? They’re only getting stronger

Recently, I've been using a quantitative platform that allows you to avoid all the building quant infrastructure, and it generates reports of the strategies and the best trials you get based on probabilistic chart ratio, deflated chart ratio, et cetera. Can you please review my strategy and tell me how would you qualify it, and what would you change?
Also, what more information does an investor need to really believe in investing in this strategy?
_Investment report_
# positive_skew_select — Trial 118
**US Equity** · **Simulated**
- **Organization:** Fintela
- **Report date:** Aug 21, 2026
- **Data through:** Aug 13, 2026
- **Period:** Aug 2021 – Aug 2026
- **Reference:** Trial 118 · positive_skew_select · spy500 (2)
## About this report
> **Simulated** — Performance is simulated. The out-of-sample period (marked on the chart) shows results on market data the strategy was never trained on — the closest proxy to live performance. Past performance is not indicative of future results.
## Summary
_Grade B · 70/100_
Grade B · exceptional risk-adjusted returns · well-contained drawdowns.
| Metric | Value |
| --- | ---: |
| Annualized | +22.8% |
| Sharpe | 3.57 |
| Max drawdown | 7.9% |
| Volatility | 19.8% |
| Overfitting (PBO) | 52.0% |
Performance. Over Aug 2021 – Aug 2026, the portfolio returned +179.3% in total, compounding at +22.8% per year. That outpaces its benchmark (S&P 500 (SPY) +13.2% per year, +85.8% total). Its best month gained +14.8% (Nov 2023) and its worst lost -9.2% (Jan 2022). On out-of-sample data the strategy never trained on, it returned +40.5% at a Sharpe of 3.57 — the closest proxy to live performance.
Risk. On a risk-adjusted basis the portfolio delivers exceptional risk-adjusted returns (Sharpe 3.57). Its deepest peak-to-trough decline was 7.9% — well-contained drawdowns. Annualized volatility of 19.8% reflects moderate volatility. A beta of 0.91 to S&P 500 (SPY) makes it roughly as sensitive as the broad market. Robustness screening finds an elevated overfitting risk (backtest-overfitting probability 52.0%).
Outlook. The book currently holds 5 positions, led by GRMN (20.0%), PLTR (20.0%), PYPL (20.0%). Its top three holdings make up 60.0% of gross exposure, leaving it highly concentrated. Weighing return, risk, drawdown and robustness together, this portfolio earns an overall grade of B (70/100), a profile that holds up well across dimensions. These figures are simulated; past performance is not indicative of future results.
## Performance
_Portfolio vs benchmark, both starting at $100,000_
$279,322 — what $100,000 invested at the start would be worth today. The same amount in S&P 500 (SPY): $185,839 (+86%).
## Out-of-sample track record
_Since Feb 2026_
| Metric | Value |
| --- | ---: |
| Return | +40.5% |
| Sharpe | 3.57 |
| Max drawdown | 7.9% |
_Performance on data the strategy was never trained on — the closest available proxy to live results._
## Headline figures
| Metric | Value | Context |
| --- | ---: | --- |
| Total return | 179.3% | S&P 500 (SPY) +85.8% |
| Annualized (CAGR) | 22.8% | S&P 500 (SPY) +13.2% |
| Max drawdown | 7.9% | worst peak-to-trough decline |
| Sharpe ratio | 3.57 | return per unit of risk |
## Versus the market
_Measured against S&P 500 (SPY)_
| Metric | Value |
| --- | ---: |
| Alpha | 0.093 |
| Beta | 0.914 |
| Up capture | 93.6% |
| Down capture | 83.4% |
| Correlation | 0.745 |
## Composition
_As of Aug 13, 2026_
| Symbol | Side | Weight | Change |
| --- | --- | ---: | ---: |
| GRMN | LONG | 20.0% | +0.00 pp |
| PLTR | LONG | 20.0% | +0.00 pp |
| PYPL | LONG | 20.0% | +0.00 pp |
| TECH | LONG | 20.0% | +0.00 pp |
| ZBRA | LONG | 20.0% | +0.00 pp |
_Sector allocation_
| Bucket | Gross | Net |
| --- | ---: | ---: |
| Technology | 60.0% | +60.0% |
| Financial Services | 20.0% | +20.0% |
| Healthcare | 20.0% | +20.0% |
_Asset type_
| Bucket | Gross | Net |
| --- | ---: | ---: |
| Common Stock | 100.0% | +100.0% |
## Traded assets — full history
_230 assets · 583 trades_
| Symbol | trades | Contribution |
| --- | ---: | ---: |
| SMCI | 4 | +8.3% |
| DDOG | 7 | +6.9% |
| META | 7 | +6.7% |
| CHRW | 3 | +5.7% |
| ULTA | 8 | +5.6% |
| DVA | 4 | +4.7% |
| MSFT | 2 | +4.7% |
| ROST | 8 | +4.7% |
| QCOM | 2 | +4.4% |
| IT | 6 | +4.2% |
| SATS | 6 | +4.0% |
| ANET | 1 | +3.6% |
| CIEN | 9 | +3.1% |
| SNPS | 3 | +3.0% |
| PLTR | 3 | +3.0% |
| DELL | 5 | +2.8% |
| DLTR | 5 | +2.7% |
| ERIE | 2 | +2.7% |
| AOS | 3 | +2.7% |
| LYV | 5 | +2.6% |
| VRT | 2 | +2.6% |
| VEEV | 7 | +2.5% |
| PYPL | 2 | +2.4% |
| NVDA | 2 | +2.4% |
| AXON | 8 | +2.4% |
| CVNA | 2 | +2.4% |
| OXY | 4 | +2.2% |
| VRTX | 4 | +2.2% |
| PFE | 1 | +2.2% |
| TXN | 2 | +2.1% |
| KEYS | 1 | +2.1% |
| DOC | 1 | +2.0% |
| WDAY | 6 | +2.0% |
| FTNT | 1 | +2.0% |
| MKC | 1 | +2.0% |
| TPL | 1 | +1.9% |
| INTC | 1 | +1.9% |
| BIIB | 1 | +1.8% |
| URI | 1 | +1.8% |
| WSM | 5 | +1.8% |
| DE | 1 | +1.7% |
| CRWD | 1 | +1.7% |
| SNA | 1 | +1.7% |
| HPQ | 2 | +1.6% |
| LULU | 7 | +1.6% |
| PWR | 2 | +1.6% |
| GILD | 1 | +1.6% |
| GM | 4 | +1.6% |
| LMT | 3 | +1.6% |
| FIX | 2 | +1.5% |
| TGT | 6 | +1.5% |
| GDDY | 3 | +1.5% |
| LUV | 1 | +1.5% |
| MNST | 2 | +1.5% |
| GRMN | 8 | +1.4% |
| FAST | 1 | +1.4% |
| SJM | 2 | +1.4% |
| STT | 2 | +1.3% |
| SBUX | 2 | +1.3% |
| VZ | 3 | +1.3% |
| TTWO | 4 | +1.3% |
| PANW | 3 | +1.3% |
| TPR | 5 | +1.2% |
| JBL | 2 | +1.2% |
| MCHP | 1 | +1.2% |
| CTVA | 3 | +1.1% |
| HUM | 2 | +1.1% |
| CI | 1 | +1.1% |
| DXCM | 7 | +1.1% |
| REGN | 1 | +1.1% |
| MMM | 1 | +1.1% |
| PKG | 3 | +1.0% |
| EQIX | 1 | +1.0% |
| APD | 2 | +1.0% |
| NOW | 2 | +1.0% |
| IQV | 3 | +1.0% |
| DGX | 2 | +0.9% |
| EA | 2 | +0.9% |
| TJX | 1 | +0.8% |
| HCA | 1 | +0.8% |
| WBD | 3 | +0.8% |
| EBAY | 2 | +0.8% |
| ABNB | 1 | +0.8% |
| BK | 2 | +0.8% |
| RMD | 3 | +0.7% |
| RL | 1 | +0.7% |
| VST | 4 | +0.7% |
| HSIC | 1 | +0.7% |
| CSGP | 1 | +0.7% |
| LVS | 2 | +0.7% |
| NKE | 2 | +0.7% |
| SBAC | 3 | +0.6% |
| HWM | 1 | +0.6% |
| ROL | 6 | +0.6% |
| NRG | 1 | +0.6% |
| GWW | 3 | +0.6% |
| WAT | 3 | +0.6% |
| KMB | 1 | +0.5% |
| TXT | 3 | +0.5% |
| BAC | 1 | +0.5% |
| SHW | 1 | +0.5% |
| WFC | 1 | +0.5% |
| SYF | 2 | +0.5% |
| NOC | 4 | +0.5% |
| JNJ | 1 | +0.5% |
| CMG | 5 | +0.5% |
| MRK | 3 | +0.5% |
| GEN | 3 | +0.4% |
| KR | 3 | +0.4% |
| T | 2 | +0.4% |
| CPRT | 1 | +0.4% |
| ZBRA | 1 | +0.4% |
| VTRS | 1 | +0.4% |
| LEN | 1 | +0.4% |
| TEL | 1 | +0.4% |
| XEL | 1 | +0.3% |
| TSLA | 1 | +0.3% |
| AMCR | 1 | +0.3% |
| TMUS | 2 | +0.3% |
| UHS | 1 | +0.3% |
| ALLE | 1 | +0.3% |
| VMC | 1 | +0.3% |
| BLDR | 1 | +0.3% |
| STE | 3 | +0.3% |
| GD | 2 | +0.3% |
| CTAS | 1 | +0.2% |
| INTU | 3 | +0.2% |
| CINF | 1 | +0.2% |
| PGR | 2 | +0.2% |
| CLX | 1 | +0.2% |
| ECL | 1 | +0.2% |
| AON | 1 | +0.1% |
| A | 1 | +0.1% |
| CVS | 3 | +0.1% |
| EME | 1 | +0.1% |
| DRI | 2 | +0.1% |
| CMCSA | 1 | +0.1% |
| CRM | 3 | +0.1% |
| FOX | 1 | +0.1% |
| INCY | 1 | +0.1% |
| BG | 2 | +0.1% |
| TECH | 2 | -0.0% |
| EMR | 2 | -0.0% |
| WAB | 2 | -0.0% |
| GPN | 2 | -0.0% |
| PM | 3 | -0.0% |
| AVY | 1 | -0.1% |
| STZ | 1 | -0.1% |
| TRV | 1 | -0.1% |
| GLW | 1 | -0.1% |
| CAH | 1 | -0.1% |
| FFIV | 2 | -0.1% |
| EXPD | 1 | -0.1% |
| NFLX | 3 | -0.1% |
| IP | 1 | -0.1% |
| JBHT | 4 | -0.1% |
| WTW | 4 | -0.1% |
| YUM | 1 | -0.1% |
| SCHW | 1 | -0.1% |
| RTX | 1 | -0.2% |
| TKO | 2 | -0.2% |
| CCL | 2 | -0.2% |
| HSY | 1 | -0.2% |
| ADBE | 2 | -0.2% |
| TRMB | 2 | -0.2% |
| PHM | 2 | -0.2% |
| WM | 2 | -0.3% |
| GOOGL | 1 | -0.3% |
| FOXA | 1 | -0.3% |
| HST | 1 | -0.3% |
| DLR | 1 | -0.3% |
| IVZ | 2 | -0.3% |
| PCAR | 2 | -0.4% |
| COHR | 1 | -0.4% |
| ISRG | 5 | -0.4% |
| XYL | 2 | -0.4% |
| EXR | 1 | -0.4% |
| SYY | 5 | -0.4% |
| DIS | 1 | -0.4% |
| CFG | 1 | -0.4% |
| DECK | 4 | -0.5% |
| EQT | 1 | -0.5% |
| BA | 1 | -0.6% |
| FSLR | 3 | -0.6% |
| HPE | 1 | -0.6% |
| AKAM | 2 | -0.7% |
| NXPI | 3 | -0.8% |
| FICO | 3 | -0.8% |
| BR | 1 | -0.8% |
| WST | 2 | -0.9% |
| DPZ | 6 | -0.9% |
| TAP | 1 | -0.9% |
| NTAP | 6 | -0.9% |
| BALL | 6 | -1.0% |
| AMGN | 1 | -1.0% |
| CAT | 1 | -1.1% |
| DG | 2 | -1.2% |
| MCK | 3 | -1.2% |
| COO | 2 | -1.3% |
| HAS | 7 | -1.3% |
| FDX | 2 | -1.3% |
| UPS | 1 | -1.4% |
| HBAN | 1 | -1.5% |
| UNP | 5 | -1.5% |
| KEY | 1 | -1.6% |
| CASY | 5 | -1.7% |
| TSN | 4 | -1.7% |
| PTC | 1 | -1.7% |
| MTD | 3 | -1.8% |
| LHX | 1 | -1.8% |
| V | 3 | -1.9% |
| BBY | 3 | -1.9% |
| GPC | 2 | -1.9% |
| UBER | 2 | -2.0% |
| LLY | 6 | -2.1% |
| HII | 1 | -2.2% |
| PODD | 6 | -2.3% |
| PSKY | 6 | -2.4% |
| AVGO | 1 | -2.6% |
| C | 3 | -2.6% |
| IBM | 4 | -2.7% |
| IDXX | 4 | -3.0% |
| ALGN | 1 | -3.3% |
| OMC | 2 | -3.6% |
| ROK | 5 | -4.4% |
| WDC | 3 | -4.7% |
| TTD | 3 | -5.5% |
| EXPE | 4 | -5.6% |
| MGM | 5 | -6.1% |
| ORCL | 8 | -7.5% |
_Return contribution is each asset’s summed realized P&L as a share of capital. Total realized from closed trades: +96.0%_
## Year by year
_Strategy vs S&P 500 (SPY)_
| Year | Strategy | S&P 500 (SPY) | Excess |
| --- | ---: | ---: | ---: |
| 2021 | +21.9% | +28.7% | -6.9% |
| 2022 | -17.7% | -18.2% | +0.5% |
| 2023 | +40.3% | +26.2% | +14.2% |
| 2024 | +21.0% | +24.9% | -3.9% |
| 2025 | +14.0% | +17.7% | -3.7% |
| 2026 | +43.9% | +12.9% | +31.0% |
## Robustness
Robustness screen: Overfit risk
---
_Hypothetical / simulated performance. These results are derived from a historical simulation and do not represent trading in a live account. Simulated results have inherent limitations: they benefit from hindsight and do not reflect real order execution, slippage, liquidity, or financing costs. Returns are shown gross of fees, which would reduce them. Past performance — actual or simulated — is not indicative of future results. For informational purposes only; not an offer or solicitation to buy any security._

GPN

I have DOX and GPN leaps

Hello, I have been aggressively DCA’ing into Saas/fintech stocks this year(TEAM, WDAY, SAP, GPN, TRI, NOW, PYPL, INTU, CRM, ADYEY,ADBE,HUBS, TTD).
I started around March with entry points often between 50-60% from tops, thinking that the bottom was near. But I was wrong, as most had an extra 20-30% down to go from my entries (with some down to -50%). But I kept DCA’ing at every -10% trigger.
Fast forward August, Saas/fintech has recovered quite well so far with lots of my positions exceeding the 5% concentration limit I try to follow for my portfolio.
So my question is: does it make sense to sell my early “ expensive” dca entries that have recovered to brake-even levels, freeing this “lazy” money for new opportunities, while keeping my “cheap” dca entries that have now substantially appreciated, to rebalance my portfolio? Doing this would drop the average cost basis of the stocks concerned and recoup some of the early invested capital (with 0 capital gain tax hit) for future deployment. Or am I missing something?
TY.