WS Value Investing
Trades Own Strategy BrokerTransmit
- hypothetical · Annual Return (Compounded)
- 34.5%
- Max Drawdown
- 35.5%
- Trades
- 230
- Win Trades
- 60.4%
- Profit Factor
- 3.10
- Win Months
- 68.3%
About this strategy
Investire in maniera sicura puntando a rendimenti annualizzati di oltre il 20%, comprando le azioni delle aziende più importanti della Borsa Americana…solo quando sono (ampiamente) sottovalutate del mercato.
##Come funziona nel dettaglio la strategia##
1. Seleziono il top 1% delle migliori aziende Americane.
Tramite il mio sistema di analisi fondamentale, composto da oltre 20 parametri seleziono le aziende più sane e profittevoli del mercato.
2. Calcolo il valore intrinseco di ognuna delle aziende attraverso il mio modello valutativo proprietario
3. Apro una posizione, con una frazione del capitale, SOLO e quando i titoli selezionati sono scontati di almeno il l 20-30% rispetto al loro valore intrinseco (durante i periodi di ribasso dei mercati).
4.Incremento ulteriormente la posizione, facendo uno o più altri ingressi se i titoli dovessero scendere ulteriormente, con sconti del 50-60% (durante i Bear Markets).
5. Tengo le azioni in portafoglio a lungo termine, puntando a rendimenti fino ad oltre il 100%, guadagnando:
- dalla ripresa delle loro quotazioni, durante le fasi rialziste
-dall’ulteriore incremento del prezzo delle azioni negli anni successivi, a seguito dell’incremento degli utili che avranno queste aziende in espansione
6. Vendo le azioni che ho in portafoglio solo in 2 casi.
Ovvero quando:
-il titolo raggiunge una quotazioni di oltre il 50% rispetto al mio valore intrinseco
-oppure l’azienda arriva a maturazione,e non riesce più a crescere
#Minimizzazione del Rischio#
Parto dal presupposto che non c’è niente di più sicuro al Mondo che investire e diventare soci delle migliori aziende del pianeta; per di più comprandone le azioni con degli sconti di almeno il 30%!
Detto ciò, applico una seri di precauzioni per ridurre il rischio quasi a zero.
-Apro solo posizioni long
-Non utilizzo alcuna leva finanziaria
-Diversifico il portafoglio con oltre 40 titoli, appartenenti a 5 settori differenti
-Ogni titolo in portafoglio ha lo stesso peso, e incide per il 2.5% del totale del capitale
-Entro su ogni azione a step, sfruttando a mio favore gli ulteriori ribassi
##Rendimenti#
Nonostante sia una strategia che ho deciso di condividere su Collective2 solo ad Aprile 2023, questa è la stessa strategia che utilizzo per investire il mio patrimonio, dal 2015.
Il rendimento cumulativo, negli ultimi 7 anni è stato del 158%.
Fino ad ora ha chiuso tutti gli anni in profitto, con picchi di guadagno del 41.2%, come nel 2020.
##Per chi è adatta la strategia?##
E’ adatta ad investitori di lungo termine, che hanno un orizzonte temporale di almeno 3-5 anni.
#Come si comporta la strategia durante i Bear Markets?##
I Bear Markets sono la cosa migliore che possa capitare alla mia strategia!
.
Più le azioni vengono svendute dagli investitori in panico durante i crolli di mercato, e più io accumulo titoli a prezzi stracciati!
I quali mi restituiranno rendimenti a tripla cifra durante il successivo Bull Market!
Non-hedged Equity
Hypothetical Monthly Returns (includes fees/commissions)
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | YTD |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023 | -1.1 | 6.0 | 4.4 | 9.8 | -3.9 | -9.8 | -4.9 | 16.9 | 10.9 | 28.5 | |||
| 2024 | 4.8 | 7.2 | 6.0 | -8.1 | 4.6 | 7.1 | -0.5 | 3.3 | 5.4 | 3.3 | 3.4 | -0.2 | 41.6 |
| 2025 | 6.4 | -6.2 | -12.5 | 2.6 | 17.1 | 11.2 | 6.5 | 1.0 | 6.9 | 1.8 | -4.1 | 0.7 | 32.0 |
| 2026 | 0.6 | -14.0 | -19.3 | 46.1 | 4.3 | -13.1 | 5.0 | 16.2 | 12.8 |
Statistics
Overview
| Strategy began | 4/4/2023 |
|---|---|
| Suggested Minimum Capital | $100,000 |
| Age | 41 months |
| C2 Rank | Top 2.4% |
| What it trades | Stocks |
| # Trades | 230 |
| # Profitable | 139 |
| % Profitable | 60.4% |
| Avg trade duration | 216.1 days |
| Max peak-to-valley drawdown | 35.5% |
| drawdown period | Jan 31, 2025 - April 08, 2025 |
| Annual Return (Compounded) | 34.5% |
| Avg win | $1,704 |
| Avg loss | $911 |
Ratios
| W:L ratio | 3.08 |
|---|---|
| Sharpe Ratio | 0.88 |
| Sortino Ratio | 1.42 |
| Calmar Ratio | 2.06 |
CORRELATION STATISTICS
| Correlation to SP500 | 0.63 |
|---|---|
| Return Percent SP500 (cumu) during strategy life | 86.6% |
| Return of Strat Pcnt - Return of SP500 Pcnt (cumu) | 81.7% |
Return Statistics
| Ann Return (w trading costs) | 34.5% |
|---|---|
| Return Pcnt (Compound or Annual, age-based, NFA compliant) | 0.3% |
| Ann Return (Compnd, No Fees) | 34.6% |
Slump
| Current Slump as Pcnt Equity | 0.0% |
|---|---|
| Current Slump, time of slump as pcnt of strategy life | 0.0% |
Instruments
| Percent Trades Forex | 0.0% |
|---|---|
| Percent Trades Futures | 0.0% |
| Percent Trades Options | 0.0% |
| Short Options - Percent Covered | 100.0% |
| Percent Trades Stocks | 1.0% |
Risk of Ruin (Monte-Carlo)
| Chance of 10% account loss | 54.0% |
|---|---|
| Chance of 20% account loss | 24.0% |
| Chance of 30% account loss | 12.0% |
| Chance of 40% account loss | 3.5% |
| Chance of 50% account loss | 0.0% |
| Chance of 60% account loss (Monte Carlo) | 0.0% |
| Chance of 70% account loss (Monte Carlo) | 0.0% |
| Chance of 80% account loss (Monte Carlo) | 0.0% |
| Chance of 90% account loss (Monte Carlo) | 0.0% |
| Chance of 100% account loss (Monte Carlo) | 100.0% |
Automation
| Percentage Signals Automated | 0.0% |
|---|
Popularity
| Popularity (Today) | 348 |
|---|---|
| Popularity (Last 6 weeks) | 847 |
| C2 Score | 976 |
| Popularity (7 days, Percentile 1000 scale) | 720 |
Trading Style
| Any stock shorts? 0/1 | 0 |
|---|
Trades-Own-System Certification
| Trades Own System? | 186374 |
|---|---|
| TOS percent | 100.0% |
Win / Loss
| Avg Loss | $795 |
|---|---|
| Avg Win | $1,843 |
| # Winners | 132 |
| Sum Trade PL (losers) | $77,955 |
| Sum Trade PL (winners) | $243,320 |
| Num Months Winners | 28 |
| # Losers | 98 |
| % Winners | 57.4% |
Dividends
| Dividends Received in Model Acct | 9180 |
|---|
Age
| Num Months filled monthly returns table | 41 |
|---|
Frequency
| Avg Position Time (mins) | 390325.31 |
|---|---|
| Avg Position Time (hrs) | 6505.42 |
| Avg Trade Length | 271.10 |
| Last Trade Ago | 5 |
Leverage
| Daily leverage (average) | 1.58 |
|---|---|
| Daily leverage (max) | 2.93 |
Regression
| Alpha | 0.02 |
|---|---|
| Beta | 1.37 |
| Treynor Index | 0.07 |
Maximum Adverse Excursion (MAE)
| MAE:Equity, average, all trades | 0 |
|---|---|
| MAE:Equity, 95th Percentile Value for this strat | 0 |
| MAE:Equity, average, losing trades | 0.01 |
| MAE:Equity, losing trades only, 95th Percentile Value for this strat | — |
| MAE:Equity, average, winning trades | 0 |
| MAE:Equity, win trades only, 95th Percentile Value for this strat | — |
| Avg(MAE) / Avg(PL) - All trades | 1.26 |
| MAE:PL (avg, all trades) | 2.29 |
| MAE:PL (avg, losing trades) | — |
| MAE:PL (avg, winning trades) | — |
| MAE:PL - worst single value for strategy | — |
| Avg(MAE) / Avg(PL) - Winning trades | 0.28 |
| Avg(MAE) / Avg(PL) - Losing trades | -1.57 |
| Hold-and-Hope Ratio | 0.86 |
RATIO STATISTICS
| Mean | 0.53 |
|---|---|
| SD | 0.32 |
| Sharpe ratio (Glass type estimate) | 1.65 |
| Sharpe ratio (Hedges UMVUE) | 1.59 |
| df | 21 |
| t | 2.24 |
| p | 0.23 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | 0.11 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 3.17 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.07 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 3.12 |
| Sortino ratio | 4.23 |
| Upside Potential Ratio | 5.76 |
| Upside part of mean | 0.72 |
| Downside part of mean | -0.19 |
| Upside SD | 0.32 |
| Downside SD | 0.12 |
| N nonnegative terms | 15 |
| N negative terms | 7 |
| N of observations | 22 |
| Mean of predictor | 0.29 |
| Mean of criterion | 0.53 |
| SD of predictor | 0.15 |
| SD of criterion | 0.32 |
| Covariance | 0.04 |
| r | 0.91 |
| b (slope, estimate of beta) | 1.87 |
| a (intercept, estimate of alpha) | -0.02 |
| Mean Square Error | 0.02 |
| DF error | 20 |
| t(b) | 9.70 |
| p(b) | 0.05 |
| t(a) | -0.13 |
| p(a) | 0.51 |
| Lowerbound of 95% confidence interval for beta | 1.47 |
| Upperbound of 95% confidence interval for beta | 2.27 |
| Lowerbound of 95% confidence interval for alpha | -0.26 |
| Upperbound of 95% confidence interval for alpha | 0.23 |
| Treynor index (mean / b) | 0.28 |
| Jensen alpha (a) | -0.02 |
| Mean | 0.47 |
| SD | 0.30 |
| Sharpe ratio (Glass type estimate) | 1.56 |
| Sharpe ratio (Hedges UMVUE) | 1.51 |
| df | 21 |
| t | 2.12 |
| p | 0.24 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | 0.02 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 3.07 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.01 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 3.02 |
| Sortino ratio | 3.60 |
| Upside Potential Ratio | 5.11 |
| Upside part of mean | 0.67 |
| Downside part of mean | -0.20 |
| Upside SD | 0.30 |
| Downside SD | 0.13 |
| N nonnegative terms | 15 |
| N negative terms | 7 |
| N of observations | 22 |
| Mean of predictor | 0.27 |
| Mean of criterion | 0.47 |
| SD of predictor | 0.15 |
| SD of criterion | 0.30 |
| Covariance | 0.04 |
| r | 0.91 |
| b (slope, estimate of beta) | 1.82 |
| a (intercept, estimate of alpha) | -0.03 |
| Mean Square Error | 0.02 |
| DF error | 20 |
| t(b) | 9.97 |
| p(b) | 0.04 |
| t(a) | -0.27 |
| p(a) | 0.53 |
| Lowerbound of 95% confidence interval for beta | 1.44 |
| Upperbound of 95% confidence interval for beta | 2.20 |
| Lowerbound of 95% confidence interval for alpha | -0.25 |
| Upperbound of 95% confidence interval for alpha | 0.19 |
| Treynor index (mean / b) | 0.26 |
| Jensen alpha (a) | -0.03 |
| VaR(95%) | 0.10 |
| Expected Shortfall on VaR | 0.13 |
| VaR(95%) | 0.03 |
| Expected Shortfall on VaR | 0.06 |
| Mean | 0.58 |
| SD | 0.39 |
| Sharpe ratio (Glass type estimate) | 1.49 |
| Sharpe ratio (Hedges UMVUE) | 1.49 |
| df | 497 |
| t | 2.06 |
| p | 0.02 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | 0.07 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.92 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.07 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 2.92 |
| Sortino ratio | 2.42 |
| Upside Potential Ratio | 9.60 |
| Upside part of mean | 2.30 |
| Downside part of mean | -1.72 |
| Upside SD | 0.31 |
| Downside SD | 0.24 |
| N nonnegative terms | 269 |
| N negative terms | 229 |
| N of observations | 498 |
| Mean of predictor | 0.31 |
| Mean of criterion | 0.58 |
| SD of predictor | 0.19 |
| SD of criterion | 0.39 |
| Covariance | 0.04 |
| r | 0.61 |
| b (slope, estimate of beta) | 1.27 |
| a (intercept, estimate of alpha) | 0.19 |
| Mean Square Error | 0.10 |
| DF error | 496 |
| t(b) | 17.11 |
| p(b) | 0 |
| t(a) | 0.84 |
| p(a) | 0.20 |
| Lowerbound of 95% confidence interval for beta | 1.12 |
| Upperbound of 95% confidence interval for beta | 1.42 |
| Lowerbound of 95% confidence interval for alpha | -0.25 |
| Upperbound of 95% confidence interval for alpha | 0.63 |
| Treynor index (mean / b) | 0.46 |
| Jensen alpha (a) | 0.19 |
| Mean | 0.51 |
| SD | 0.39 |
| Sharpe ratio (Glass type estimate) | 1.31 |
| Sharpe ratio (Hedges UMVUE) | 1.31 |
| df | 497 |
| t | 1.81 |
| p | 0.04 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.11 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.73 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.12 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 2.73 |
| Sortino ratio | 2.04 |
| Upside Potential Ratio | 9.11 |
| Upside part of mean | 2.26 |
| Downside part of mean | -1.75 |
| Upside SD | 0.30 |
| Downside SD | 0.25 |
| N nonnegative terms | 269 |
| N negative terms | 229 |
| N of observations | 498 |
| Mean of predictor | 0.29 |
| Mean of criterion | 0.51 |
| SD of predictor | 0.19 |
| SD of criterion | 0.39 |
| Covariance | 0.04 |
| r | 0.61 |
| b (slope, estimate of beta) | 1.28 |
| a (intercept, estimate of alpha) | 0.13 |
| Mean Square Error | 0.09 |
| DF error | 496 |
| t(b) | 17.31 |
| p(b) | 0 |
| t(a) | 0.60 |
| p(a) | 0.27 |
| Lowerbound of 95% confidence interval for beta | 1.13 |
| Upperbound of 95% confidence interval for beta | 1.42 |
| Lowerbound of 95% confidence interval for alpha | -0.30 |
| Upperbound of 95% confidence interval for alpha | 0.57 |
| Treynor index (mean / b) | 0.40 |
| Jensen alpha (a) | 0.13 |
| VaR(95%) | 0.04 |
| Expected Shortfall on VaR | 0.05 |
| VaR(95%) | 0.01 |
| Expected Shortfall on VaR | 0.03 |
| Mean | 0.77 |
| SD | 0.54 |
| Sharpe ratio (Glass type estimate) | 1.42 |
| Sharpe ratio (Hedges UMVUE) | 1.41 |
| df | 130 |
| t | 1.01 |
| p | 0.46 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.36 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 4.20 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -1.36 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 4.19 |
| Sortino ratio | 2.30 |
| Upside Potential Ratio | 9.26 |
| Upside part of mean | 3.10 |
| Downside part of mean | -2.33 |
| Upside SD | 0.42 |
| Downside SD | 0.34 |
| N nonnegative terms | 69 |
| N negative terms | 62 |
| N of observations | 131 |
| Mean of predictor | 0.45 |
| Mean of criterion | 0.77 |
| SD of predictor | 0.17 |
| SD of criterion | 0.54 |
| Covariance | 0.07 |
| r | 0.72 |
| b (slope, estimate of beta) | 2.30 |
| a (intercept, estimate of alpha) | -0.26 |
| Mean Square Error | 0.14 |
| DF error | 129 |
| t(b) | 11.75 |
| p(b) | 0.09 |
| t(a) | -0.49 |
| p(a) | 0.53 |
| Lowerbound of 95% confidence interval for beta | 1.91 |
| Upperbound of 95% confidence interval for beta | 2.69 |
| Lowerbound of 95% confidence interval for alpha | -1.33 |
| Upperbound of 95% confidence interval for alpha | 0.81 |
| Treynor index (mean / b) | 0.33 |
| Jensen alpha (a) | -0.26 |
| Mean | 0.62 |
| SD | 0.54 |
| Sharpe ratio (Glass type estimate) | 1.16 |
| Sharpe ratio (Hedges UMVUE) | 1.16 |
| df | 130 |
| t | 0.82 |
| p | 0.46 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.61 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 3.94 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -1.62 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 3.93 |
| Sortino ratio | 1.79 |
| Upside Potential Ratio | 8.62 |
| Upside part of mean | 3.02 |
| Downside part of mean | -2.39 |
| Upside SD | 0.41 |
| Downside SD | 0.35 |
| N nonnegative terms | 69 |
| N negative terms | 62 |
| N of observations | 131 |
| Mean of predictor | 0.43 |
| Mean of criterion | 0.62 |
| SD of predictor | 0.17 |
| SD of criterion | 0.54 |
| Covariance | 0.06 |
| r | 0.71 |
| b (slope, estimate of beta) | 2.27 |
| a (intercept, estimate of alpha) | -0.36 |
| Mean Square Error | 0.14 |
| DF error | 129 |
| t(b) | 11.52 |
| p(b) | 0.09 |
| t(a) | -0.66 |
| p(a) | 0.54 |
| Lowerbound of 95% confidence interval for beta | 1.88 |
| VAR (95 Confidence Intrvl) | 0.04 |
| Upperbound of 95% confidence interval for beta | 2.66 |
| Lowerbound of 95% confidence interval for alpha | -1.43 |
| Upperbound of 95% confidence interval for alpha | 0.71 |
| Treynor index (mean / b) | 0.28 |
| Jensen alpha (a) | -0.36 |
| VaR(95%) | 0.05 |
| Expected Shortfall on VaR | 0.06 |
| VaR(95%) | 0.02 |
| Expected Shortfall on VaR | 0.04 |
ORDER STATISTICS
| Number of observations | 22 |
|---|---|
| Minimum | 0.88 |
| Quartile 1 | 0.99 |
| Median | 1.04 |
| Quartile 3 | 1.07 |
| Maximum | 1.23 |
| Mean of quarter 1 | 0.95 |
| Mean of quarter 2 | 1.02 |
| Mean of quarter 3 | 1.05 |
| Mean of quarter 4 | 1.16 |
| Inter Quartile Range | 0.08 |
| Number outliers low | 1 |
| Percentage of outliers low | 0.05 |
| Mean of outliers low | 0.88 |
| Number of outliers high | 3 |
| Percentage of outliers high | 0.14 |
| Mean of outliers high | 1.21 |
| Extreme Value Index (moments method) | -5.79 |
| VaR(95%) (moments method) | 0.02 |
| Expected Shortfall (moments method) | 0.02 |
| Extreme Value Index (regression method) | -0.02 |
| VaR(95%) (regression method) | 0.08 |
| Expected Shortfall (regression method) | 0.12 |
| Number of observations | 498 |
| Minimum | 0.87 |
| Quartile 1 | 0.99 |
| Median | 1.00 |
| Quartile 3 | 1.01 |
| Maximum | 1.15 |
| Mean of quarter 1 | 0.98 |
| Mean of quarter 2 | 1.00 |
| Mean of quarter 3 | 1.01 |
| Mean of quarter 4 | 1.03 |
| Inter Quartile Range | 0.02 |
| Number outliers low | 13 |
| Percentage of outliers low | 0.03 |
| Mean of outliers low | 0.93 |
| Number of outliers high | 27 |
| Percentage of outliers high | 0.05 |
| Mean of outliers high | 1.06 |
| Extreme Value Index (moments method) | 0.26 |
| VaR(95%) (moments method) | 0.02 |
| Expected Shortfall (moments method) | 0.04 |
| Extreme Value Index (regression method) | 0.23 |
| VaR(95%) (regression method) | 0.02 |
| Expected Shortfall (regression method) | 0.03 |
| Number of observations | 131 |
| Minimum | 0.87 |
| Quartile 1 | 0.99 |
| Median | 1.00 |
| Quartile 3 | 1.01 |
| Maximum | 1.15 |
| Mean of quarter 1 | 0.97 |
| Mean of quarter 2 | 1.00 |
| Mean of quarter 3 | 1.01 |
| Mean of quarter 4 | 1.04 |
| Inter Quartile Range | 0.02 |
| Number outliers low | 5 |
| Percentage of outliers low | 0.04 |
| Mean of outliers low | 0.91 |
| Number of outliers high | 8 |
| Percentage of outliers high | 0.06 |
| Mean of outliers high | 1.09 |
| Extreme Value Index (moments method) | 0.29 |
| VaR(95%) (moments method) | 0.03 |
| Expected Shortfall (moments method) | 0.05 |
| Extreme Value Index (regression method) | 0.30 |
| VaR(95%) (regression method) | 0.03 |
| Expected Shortfall (regression method) | 0.05 |
DRAW DOWN STATISTICS
| Number of observations | 5 |
|---|---|
| Minimum | 0.01 |
| Quartile 1 | 0.01 |
| Median | 0.04 |
| Quartile 3 | 0.07 |
| Maximum | 0.20 |
| Mean of quarter 1 | 0.01 |
| Mean of quarter 2 | 0.04 |
| Mean of quarter 3 | 0.07 |
| Mean of quarter 4 | 0.20 |
| Inter Quartile Range | 0.06 |
| Number outliers low | 0 |
| Percentage of outliers low | 0 |
| Mean of outliers low | 0 |
| Number of outliers high | 1 |
| Percentage of outliers high | 0.20 |
| Mean of outliers high | 0.20 |
| Extreme Value Index (moments method) | 0 |
| VaR(95%) (moments method) | 0 |
| Expected Shortfall (moments method) | 0 |
| Extreme Value Index (regression method) | 0 |
| VaR(95%) (regression method) | 0 |
| Expected Shortfall (regression method) | 0 |
| Number of observations | 33 |
| Minimum | 0.00 |
| Quartile 1 | 0.01 |
| Median | 0.02 |
| Quartile 3 | 0.05 |
| Maximum | 0.34 |
| Mean of quarter 1 | 0.00 |
| Mean of quarter 2 | 0.01 |
| Mean of quarter 3 | 0.03 |
| Mean of quarter 4 | 0.16 |
| Inter Quartile Range | 0.05 |
| Number outliers low | 0 |
| Percentage of outliers low | 0 |
| Mean of outliers low | 0 |
| Number of outliers high | 4 |
| Percentage of outliers high | 0.12 |
| Mean of outliers high | 0.25 |
| Extreme Value Index (moments method) | 0.57 |
| VaR(95%) (moments method) | 0.17 |
| Expected Shortfall (moments method) | 0.43 |
| Extreme Value Index (regression method) | 0.46 |
| VaR(95%) (regression method) | 0.14 |
| Expected Shortfall (regression method) | 0.29 |
| Number of observations | 12 |
| Minimum | 0.00 |
| Quartile 1 | 0.01 |
| Median | 0.02 |
| Quartile 3 | 0.05 |
| Maximum | 0.34 |
| Mean of quarter 1 | 0.01 |
| Mean of quarter 2 | 0.01 |
| Mean of quarter 3 | 0.04 |
| Mean of quarter 4 | 0.15 |
| Inter Quartile Range | 0.04 |
| Number outliers low | 0 |
| Percentage of outliers low | 0 |
| Mean of outliers low | 0 |
| Number of outliers high | 1 |
| Percentage of outliers high | 0.08 |
| Mean of outliers high | 0.34 |
| Extreme Value Index (moments method) | 0.86 |
| VaR(95%) (moments method) | 0.16 |
| Expected Shortfall (moments method) | 1.22 |
| Extreme Value Index (regression method) | 4.61 |
| VaR(95%) (regression method) | 0.50 |
| Expected Shortfall (regression method) | 0 |
| Strat Max DD how much worse than SP500 max DD during strat life? | -496728544 |
| Max Equity Drawdown (num days) | 67 |
| Last 4 Months - Pcnt Negative | 0.2% |
COMBINED STATISTICS
| Annualized return (arithmetic extrapolation) | 0.81 |
|---|---|
| Compounded annual return (geometric extrapolation) | 0.65 |
| Calmar ratio (compounded annual return / max draw down) | 3.25 |
| Compounded annual return / average of 25% largest draw downs | 3.25 |
| Compounded annual return / Expected Shortfall lognormal | 4.96 |
| j156mfCOMBRisPar | 0 |
| j157mfCOMBRisPar | 0 |
| Annualized return (arithmetic extrapolation) | 0.92 |
| Compounded annual return (geometric extrapolation) | 0.70 |
| Calmar ratio (compounded annual return / max draw down) | 2.06 |
| Compounded annual return / average of 25% largest draw downs | 4.44 |
| Compounded annual return / Expected Shortfall lognormal | 15.29 |
| j313dfCOMBRisPar | 0 |
| j314dfCOMBRisPar | 0 |
| Annualized return (arithmetic extrapolation) | 0.77 |
| Compounded annual return (geometric extrapolation) | 0.92 |
| Calmar ratio (compounded annual return / max draw down) | 2.69 |
| Compounded annual return / average of 25% largest draw downs | 6.10 |
| Compounded annual return / Expected Shortfall lognormal | 14.43 |
Trading record
Placed 510 trades in real-life brokerage accounts.
| Symbol | Side | Qty | Opened | Closed | P/L |
|---|---|---|---|---|---|
| KSPI | long | 76 | Jun 23, 2025 | Aug 5, 2026 | $884 |
| PYPL | long | 118 | Jun 12, 2025 | Jul 15, 2026 | ($541) |
| ELV | long | 17 | Jun 12, 2025 | Jul 9, 2026 | $702 |
| SNPS | long | 12 | Jun 12, 2025 | Jul 7, 2026 | ($736) |
| IPAR | long | 45 | Jun 12, 2025 | Jul 2, 2026 | ($1,026) |
| ABNB | long | 40 | Jun 12, 2025 | Jun 17, 2026 | $98 |
| OSCR | long | 300 | Jun 12, 2025 | Jun 1, 2026 | $2,708 |
| MSCI | long | 3 | Jun 12, 2025 | May 29, 2026 | $220 |
| CZR | long | 154 | Jun 12, 2025 | May 28, 2026 | $707 |
| KLAR | long | 100 | Mar 23, 2026 | May 14, 2026 | $291 |
| FTNT | long | 69 | Jun 12, 2025 | May 7, 2026 | $1,458 |
| ULTA | long | 9 | Jun 12, 2025 | May 6, 2026 | $691 |
| LRCX | long | 50 | Jun 12, 2025 | Apr 13, 2026 | $8,506 |
| NBIS | long | 55 | Nov 20, 2025 | Apr 13, 2026 | $3,514 |
| LGCY | long | 351 | Oct 14, 2025 | Mar 10, 2026 | $1,687 |
| HCA | long | 6 | Jun 12, 2025 | Mar 9, 2026 | $1,021 |
| AMP | long | 6 | Jun 12, 2025 | Feb 4, 2026 | $136 |
| PEP | long | 17 | Jun 12, 2025 | Feb 2, 2026 | $406 |
| TMO | long | 12 | Jun 12, 2025 | Jan 9, 2026 | $2,447 |
| PAX | long | 245 | Jun 12, 2025 | Jan 7, 2026 | $808 |
| RTO | long | 129 | Jun 12, 2025 | Oct 7, 2025 | $459 |
| HR | long | 153 | Jun 12, 2025 | Sep 11, 2025 | $520 |
| MEDP | long | 18 | Jun 12, 2025 | Jul 22, 2025 | $2,513 |
| RACE | long | 26 | Jun 12, 2025 | Jun 12, 2025 | ($14) |
| HIMS | long | 231 | Jun 12, 2025 | Jun 12, 2025 | ($63) |
| ADSK | long | 21 | Jun 12, 2025 | Jun 12, 2025 | ($11) |
| GOOGL | long | 170 | Jun 12, 2025 | Jun 12, 2025 | ($18) |
| SNPS | long | 12 | Jun 12, 2025 | Jun 12, 2025 | ($10) |
| CRM | long | 35 | Jun 12, 2025 | Jun 12, 2025 | ($6) |
| AMZN | long | 142 | Jun 12, 2025 | Jun 12, 2025 | ($78) |
Past results are not necessarily indicative of future results.
These results are based on simulated or hypothetical performance results that have certain inherent limitations. Unlike the results shown in an actual performance record, these results do not represent actual trading. Also, because these trades have not actually been executed, these results may have under-or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated or hypothetical trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to these being shown.