TQQQ Aspire
- hypothetical · Annual Return (Compounded)
- 23.1%
- Max Drawdown
- 23.5%
- Trades
- 728
- Win Trades
- 53.6%
- Profit Factor
- 1.30
- Win Months
- 58.0%
About this strategy
About TQQQ Aspire
The TQQQ Aspire Strategy is based on a statistical computer model whose signals are designed to be efficiently traded utilizing C2’s Auto-Trading technology. This Strategy uses the leveraged ETF TQQQ which is highly correlated to the Nasdaq 100 Index (NDX).
Position Entry… occurs after reaching an entry point above the Open price. This entry is based on statistical input based on volatility and momentum calculations.
Stop Loss… protection to the downside is also calculated on a statistical basis. The targeted Stop Loss is designed for no more that a 1.5% loss. Obviously the Stop Loss can be slightly higher due to market movement and slippage duing volatile market periods.
Profit Taker… a key aspect of this strategy is the Profit Taker that statistically calculates the optimal exit point based on over 3,000 days of TQQQ data.
No Overnight Positions… No positions are held overnight or weekends.
One Entry Position per Day… Only one position is entered on a daily basis.
Position size… Position size is calculated based on current statistical parameters. As an example, if TQQQ price movement is more pronounced, a Stop Loss greater that 1.5% will adjust the Position Size to keep to the 1.5% Stop Loss target.
Design changes has held drawdown percentages to less than 12% starting in January 2022.
In addition, here is a link to the Collective2 video interview of the Strategy Leader for “TQQQ Aspire”.
https://www.youtube.com/watch?v=tN6bNJwc1EA
The main inventor of this Strategy has been building statistical models for many years. His initial work was for the Department of Defense during the 1980's. He has worked on key elements of this financial model's technique for over 8 years. V. 3-14-2025
The TQQQ Aspire Strategy is based on a statistical computer model whose signals are designed to be efficiently traded utilizing C2’s Auto-Trading technology. This Strategy uses the leveraged ETF TQQQ which is highly correlated to the Nasdaq 100 Index (NDX).
Position Entry… occurs after reaching an entry point above the Open price. This entry is based on statistical input based on volatility and momentum calculations.
Stop Loss… protection to the downside is also calculated on a statistical basis. The targeted Stop Loss is designed for no more that a 1.5% loss. Obviously the Stop Loss can be slightly higher due to market movement and slippage duing volatile market periods.
Profit Taker… a key aspect of this strategy is the Profit Taker that statistically calculates the optimal exit point based on over 3,000 days of TQQQ data.
No Overnight Positions… No positions are held overnight or weekends.
One Entry Position per Day… Only one position is entered on a daily basis.
Position size… Position size is calculated based on current statistical parameters. As an example, if TQQQ price movement is more pronounced, a Stop Loss greater that 1.5% will adjust the Position Size to keep to the 1.5% Stop Loss target.
Design changes has held drawdown percentages to less than 12% starting in January 2022.
In addition, here is a link to the Collective2 video interview of the Strategy Leader for “TQQQ Aspire”.
https://www.youtube.com/watch?v=tN6bNJwc1EA
The main inventor of this Strategy has been building statistical models for many years. His initial work was for the Department of Defense during the 1980's. He has worked on key elements of this financial model's technique for over 8 years. V. 3-14-2025
Momentum Sector: Technology
Hypothetical Monthly Returns (includes fees/commissions)
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | YTD |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018 | 4.7 | 7.3 | 5.8 | 12.6 | -10.2 | -12.1 | 0.0 | -1.2 | 4.3 | ||||
| 2019 | -0.6 | 0.8 | 7.8 | 14.5 | -4.4 | 25.6 | 5.8 | -12.3 | -0.5 | -0.5 | 3.3 | 8.6 | 53.2 |
| 2020 | -3.8 | 15.8 | -4.3 | -8.4 | 0.6 | 0.3 | -0.7 | 21.2 | 14.3 | 9.1 | 10.7 | -3.4 | 58.1 |
| 2021 | 1.1 | 6.9 | 2.6 | 16.4 | -1.5 | 12.6 | 3.7 | 12.9 | -3.1 | 14.2 | 6.6 | 1.4 | 100.3 |
| 2022 | 0.6 | -6.3 | 5.2 | -0.9 | 4.3 | -3.2 | 2.6 | -2.8 | -1.2 | 1.6 | 0.5 | -1.7 | -1.9 |
| 2023 | 3.8 | 2.2 | -0.0 | 1.0 | 3.4 | 0.8 | -2.8 | 1.3 | -4.2 | -6.7 | -0.1 | 1.5 | -0.4 |
| 2024 | -2.7 | -0.9 | 0.3 | 3.4 | 1.5 | 1.6 | 5.7 | -5.1 | -4.9 | 5.3 | 3.4 | 3.5 | 11.0 |
| 2025 | -3.9 | 1.4 | -2.2 | 2.2 | 8.0 | -1.2 | -1.1 | -2.9 | -0.3 | 2.4 | -0.5 | -0.1 | 1.3 |
| 2026 | 1.1 | 3.2 | -3.2 | 2.8 | 2.9 | 0.1 | -3.3 | -1.8 | 1.5 |
Statistics
Overview
| Strategy began | 5/1/2018 |
|---|---|
| Suggested Minimum Capital | $35,000 |
| Age | 101 months |
| C2 Rank | Top 8.4% |
| What it trades | Stocks |
| # Trades | 728 |
| # Profitable | 390 |
| % Profitable | 53.6% |
| Avg trade duration | 1.0 days |
| Max peak-to-valley drawdown | 23.5% |
| drawdown period | Aug 30, 2018 - Feb 12, 2019 |
| Annual Return (Compounded) | 23.1% |
| Avg win | $1,157 |
| Avg loss | $1,009 |
Ratios
| W:L ratio | 1.32 |
|---|---|
| Sharpe Ratio | 0.95 |
| Sortino Ratio | 1.63 |
| Calmar Ratio | 1.35 |
CORRELATION STATISTICS
| Correlation to SP500 | 0.22 |
|---|---|
| Return Percent SP500 (cumu) during strategy life | 189.1% |
| Return of Strat Pcnt - Return of SP500 Pcnt (cumu) | 275.1% |
Return Statistics
| Ann Return (w trading costs) | 23.1% |
|---|---|
| Return Pcnt (Compound or Annual, age-based, NFA compliant) | 0.2% |
| Return Pcnt Since TOS Status | 0.0% |
| Ann Return (Compnd, No Fees) | 25.2% |
Slump
| Current Slump as Pcnt Equity | 7.4% |
|---|---|
| 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 | 32.5% |
|---|---|
| Chance of 20% account loss | 5.5% |
| Chance of 30% account loss | 2.0% |
| Chance of 40% account loss | 0.0% |
| 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% |
Automation
| Percentage Signals Automated | 0.0% |
|---|
Popularity
| Popularity (Today) | 609 |
|---|---|
| Popularity (Last 6 weeks) | 925 |
| C2 Score | 916 |
| Popularity (7 days, Percentile 1000 scale) | 821 |
Trading Style
| Any stock shorts? 0/1 | 0 |
|---|
Trades-Own-System Certification
| Trades Own System? | 0 |
|---|---|
| TOS percent | 0.0% |
Win / Loss
| Avg Loss | $1,009 |
|---|---|
| Avg Win | $1,157 |
| # Winners | 390 |
| Sum Trade PL (losers) | $341,016 |
| Sum Trade PL (winners) | $451,053 |
| Num Months Winners | 58 |
| # Losers | 338 |
| % Winners | 53.6% |
Dividends
| Dividends Received in Model Acct | 22 |
|---|
Age
| Num Months filled monthly returns table | 100 |
|---|
Frequency
| Avg Position Time (mins) | 1379.97 |
|---|---|
| Avg Position Time (hrs) | 23 |
| Avg Trade Length | 1 |
| Last Trade Ago | 2 |
Leverage
| Daily leverage (average) | 2.72 |
|---|---|
| Daily leverage (max) | 4.28 |
Regression
| Alpha | 0.05 |
|---|---|
| Beta | 0.21 |
| Treynor Index | 0.27 |
Maximum Adverse Excursion (MAE)
| MAE:Equity, average, all trades | 0.01 |
|---|---|
| MAE:Equity, 95th Percentile Value for this strat | 0.02 |
| MAE:Equity, average, losing trades | 0.01 |
| MAE:Equity, losing trades only, 95th Percentile Value for this strat | — |
| MAE:Equity, average, winning trades | 0.01 |
| MAE:Equity, win trades only, 95th Percentile Value for this strat | — |
| Avg(MAE) / Avg(PL) - All trades | 36.78 |
| MAE:PL (avg, all trades) | 1.22 |
| MAE:PL (avg, losing trades) | — |
| MAE:PL - Losing Trades - this strat Percentile of All Strats | 54.88 |
| MAE:PL - Winning Trades - this strat Percentile of All Strats | 7.66 |
| MAE:PL (avg, winning trades) | — |
| MAE:PL - worst single value for strategy | — |
| Avg(MAE) / Avg(PL) - Winning trades | 0.43 |
| Avg(MAE) / Avg(PL) - Losing trades | -1.15 |
| Hold-and-Hope Ratio | 0.03 |
RATIO STATISTICS
| Mean | 0.23 |
|---|---|
| SD | 0.21 |
| Sharpe ratio (Glass type estimate) | 1.10 |
| Sharpe ratio (Hedges UMVUE) | 1.09 |
| df | 94 |
| t | 3.09 |
| p | 0.00 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | 0.38 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.81 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.38 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 1.80 |
| Sortino ratio | 2.63 |
| Upside Potential Ratio | 4.27 |
| Upside part of mean | 0.38 |
| Downside part of mean | -0.15 |
| Upside SD | 0.20 |
| Downside SD | 0.09 |
| N nonnegative terms | 55 |
| N negative terms | 40 |
| N of observations | 95 |
| Mean of predictor | 0.12 |
| Mean of criterion | 0.23 |
| SD of predictor | 0.18 |
| SD of criterion | 0.21 |
| Covariance | 0.01 |
| r | 0.31 |
| b (slope, estimate of beta) | 0.38 |
| a (intercept, estimate of alpha) | 0.19 |
| Mean Square Error | 0.04 |
| DF error | 93 |
| t(b) | 3.19 |
| p(b) | 0.00 |
| t(a) | 2.53 |
| p(a) | 0.01 |
| Lowerbound of 95% confidence interval for beta | 0.14 |
| Upperbound of 95% confidence interval for beta | 0.62 |
| Lowerbound of 95% confidence interval for alpha | 0.04 |
| Upperbound of 95% confidence interval for alpha | 0.33 |
| Treynor index (mean / b) | 0.61 |
| Jensen alpha (a) | 0.19 |
| Mean | 0.21 |
| SD | 0.20 |
| Sharpe ratio (Glass type estimate) | 1.04 |
| Sharpe ratio (Hedges UMVUE) | 1.03 |
| df | 94 |
| t | 2.92 |
| p | 0.00 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | 0.32 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.75 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.32 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 1.74 |
| Sortino ratio | 2.28 |
| Upside Potential Ratio | 3.90 |
| Upside part of mean | 0.36 |
| Downside part of mean | -0.15 |
| Upside SD | 0.19 |
| Downside SD | 0.09 |
| N nonnegative terms | 55 |
| N negative terms | 40 |
| N of observations | 95 |
| Mean of predictor | 0.11 |
| Mean of criterion | 0.21 |
| SD of predictor | 0.18 |
| SD of criterion | 0.20 |
| Covariance | 0.01 |
| r | 0.32 |
| b (slope, estimate of beta) | 0.36 |
| a (intercept, estimate of alpha) | 0.17 |
| Mean Square Error | 0.04 |
| DF error | 93 |
| t(b) | 3.25 |
| p(b) | 0.00 |
| t(a) | 2.47 |
| p(a) | 0.01 |
| Lowerbound of 95% confidence interval for beta | 0.14 |
| Upperbound of 95% confidence interval for beta | 0.58 |
| Lowerbound of 95% confidence interval for alpha | 0.03 |
| Upperbound of 95% confidence interval for alpha | 0.31 |
| Treynor index (mean / b) | 0.59 |
| Jensen alpha (a) | 0.17 |
| VaR(95%) | 0.08 |
| Expected Shortfall on VaR | 0.10 |
| VaR(95%) | 0.02 |
| Expected Shortfall on VaR | 0.05 |
| Mean | 0.22 |
| SD | 0.17 |
| Sharpe ratio (Glass type estimate) | 1.30 |
| Sharpe ratio (Hedges UMVUE) | 1.30 |
| df | 2078 |
| t | 3.66 |
| p | 0.00 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | 0.60 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.00 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.60 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 2.00 |
| Sortino ratio | 2.27 |
| Upside Potential Ratio | 9.43 |
| Upside part of mean | 0.92 |
| Downside part of mean | -0.70 |
| Upside SD | 0.14 |
| Downside SD | 0.10 |
| N nonnegative terms | 789 |
| N negative terms | 1290 |
| N of observations | 2079 |
| Mean of predictor | 0.13 |
| Mean of criterion | 0.22 |
| SD of predictor | 0.20 |
| SD of criterion | 0.17 |
| Covariance | 0.01 |
| r | 0.21 |
| b (slope, estimate of beta) | 0.18 |
| a (intercept, estimate of alpha) | 0.20 |
| Mean Square Error | 0.03 |
| DF error | 2077 |
| t(b) | 9.65 |
| p(b) | 0 |
| t(a) | 3.36 |
| p(a) | 0.00 |
| Lowerbound of 95% confidence interval for beta | 0.14 |
| Upperbound of 95% confidence interval for beta | 0.22 |
| Lowerbound of 95% confidence interval for alpha | 0.08 |
| Upperbound of 95% confidence interval for alpha | 0.32 |
| Treynor index (mean / b) | 1.23 |
| Jensen alpha (a) | 0.20 |
| Mean | 0.21 |
| SD | 0.17 |
| Sharpe ratio (Glass type estimate) | 1.22 |
| Sharpe ratio (Hedges UMVUE) | 1.22 |
| df | 2078 |
| t | 3.45 |
| p | 0.00 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | 0.53 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.92 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.53 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 1.92 |
| Sortino ratio | 2.10 |
| Upside Potential Ratio | 9.23 |
| Upside part of mean | 0.91 |
| Downside part of mean | -0.71 |
| Upside SD | 0.14 |
| Downside SD | 0.10 |
| N nonnegative terms | 789 |
| N negative terms | 1290 |
| N of observations | 2079 |
| Mean of predictor | 0.11 |
| Mean of criterion | 0.21 |
| SD of predictor | 0.20 |
| SD of criterion | 0.17 |
| Covariance | 0.01 |
| r | 0.21 |
| b (slope, estimate of beta) | 0.18 |
| a (intercept, estimate of alpha) | 0.19 |
| Mean Square Error | 0.03 |
| DF error | 2077 |
| t(b) | 9.62 |
| p(b) | 0 |
| t(a) | 3.20 |
| p(a) | 0.00 |
| Lowerbound of 95% confidence interval for beta | 0.14 |
| Upperbound of 95% confidence interval for beta | 0.22 |
| Lowerbound of 95% confidence interval for alpha | 0.07 |
| Upperbound of 95% confidence interval for alpha | 0.31 |
| Treynor index (mean / b) | 1.16 |
| Jensen alpha (a) | 0.19 |
| VaR(95%) | 0.02 |
| Expected Shortfall on VaR | 0.02 |
| VaR(95%) | 0.01 |
| Expected Shortfall on VaR | 0.01 |
| Mean | -0.00 |
| SD | 0.07 |
| Sharpe ratio (Glass type estimate) | -0.00 |
| Sharpe ratio (Hedges UMVUE) | -0.00 |
| df | 130 |
| t | -0.00 |
| p | 0.50 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.77 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.77 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -2.77 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 2.77 |
| Sortino ratio | -0.00 |
| Upside Potential Ratio | 8.56 |
| Upside part of mean | 0.39 |
| Downside part of mean | -0.39 |
| Upside SD | 0.05 |
| Downside SD | 0.05 |
| N nonnegative terms | 52 |
| N negative terms | 79 |
| N of observations | 131 |
| Mean of predictor | 0.21 |
| Mean of criterion | -0.00 |
| SD of predictor | 0.14 |
| SD of criterion | 0.07 |
| Covariance | 0.00 |
| r | 0.12 |
| b (slope, estimate of beta) | 0.06 |
| a (intercept, estimate of alpha) | -0.01 |
| Mean Square Error | 0.00 |
| DF error | 129 |
| t(b) | 1.41 |
| p(b) | 0.42 |
| t(a) | -0.13 |
| p(a) | 0.51 |
| Lowerbound of 95% confidence interval for beta | -0.02 |
| Upperbound of 95% confidence interval for beta | 0.14 |
| Lowerbound of 95% confidence interval for alpha | -0.20 |
| Upperbound of 95% confidence interval for alpha | 0.18 |
| Treynor index (mean / b) | -0.00 |
| Jensen alpha (a) | -0.01 |
| Mean | -0.00 |
| SD | 0.07 |
| Sharpe ratio (Glass type estimate) | -0.04 |
| Sharpe ratio (Hedges UMVUE) | -0.04 |
| df | 130 |
| t | -0.03 |
| p | 0.50 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.81 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.74 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -2.81 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 2.74 |
| Sortino ratio | -0.05 |
| Upside Potential Ratio | 8.50 |
| Upside part of mean | 0.39 |
| Downside part of mean | -0.39 |
| Upside SD | 0.05 |
| Downside SD | 0.05 |
| N nonnegative terms | 52 |
| N negative terms | 79 |
| N of observations | 131 |
| Mean of predictor | 0.20 |
| Mean of criterion | -0.00 |
| SD of predictor | 0.14 |
| SD of criterion | 0.07 |
| Covariance | 0.00 |
| r | 0.12 |
| b (slope, estimate of beta) | 0.06 |
| a (intercept, estimate of alpha) | -0.01 |
| Mean Square Error | 0.00 |
| DF error | 129 |
| t(b) | 1.40 |
| p(b) | 0.42 |
| t(a) | -0.15 |
| p(a) | 0.51 |
| Lowerbound of 95% confidence interval for beta | -0.02 |
| VAR (95 Confidence Intrvl) | 0.02 |
| Upperbound of 95% confidence interval for beta | 0.14 |
| Lowerbound of 95% confidence interval for alpha | -0.20 |
| Upperbound of 95% confidence interval for alpha | 0.18 |
| Treynor index (mean / b) | -0.04 |
| Jensen alpha (a) | -0.01 |
| VaR(95%) | 0.01 |
| Expected Shortfall on VaR | 0.01 |
| VaR(95%) | 0.00 |
| Expected Shortfall on VaR | 0.01 |
ORDER STATISTICS
| Number of observations | 95 |
|---|---|
| Minimum | 0.88 |
| Quartile 1 | 0.99 |
| Median | 1.01 |
| Quartile 3 | 1.05 |
| Maximum | 1.24 |
| Mean of quarter 1 | 0.96 |
| Mean of quarter 2 | 1.00 |
| Mean of quarter 3 | 1.03 |
| Mean of quarter 4 | 1.10 |
| Inter Quartile Range | 0.06 |
| Number outliers low | 1 |
| Percentage of outliers low | 0.01 |
| Mean of outliers low | 0.88 |
| Number of outliers high | 4 |
| Percentage of outliers high | 0.04 |
| Mean of outliers high | 1.21 |
| Extreme Value Index (moments method) | 0.09 |
| VaR(95%) (moments method) | 0.04 |
| Expected Shortfall (moments method) | 0.05 |
| Extreme Value Index (regression method) | 0.19 |
| VaR(95%) (regression method) | 0.04 |
| Expected Shortfall (regression method) | 0.06 |
| Number of observations | 2079 |
| Minimum | 0.95 |
| Quartile 1 | 1.00 |
| Median | 1 |
| Quartile 3 | 1.00 |
| Maximum | 1.09 |
| Mean of quarter 1 | 0.99 |
| Mean of quarter 2 | 1.00 |
| Mean of quarter 3 | 1.00 |
| Mean of quarter 4 | 1.01 |
| Inter Quartile Range | 0.01 |
| Number outliers low | 112 |
| Percentage of outliers low | 0.05 |
| Mean of outliers low | 0.98 |
| Number of outliers high | 179 |
| Percentage of outliers high | 0.09 |
| Mean of outliers high | 1.02 |
| Extreme Value Index (moments method) | 0.11 |
| VaR(95%) (moments method) | 0.01 |
| Expected Shortfall (moments method) | 0.01 |
| Extreme Value Index (regression method) | 0.09 |
| VaR(95%) (regression method) | 0.01 |
| Expected Shortfall (regression method) | 0.01 |
| Number of observations | 131 |
| Minimum | 0.99 |
| Quartile 1 | 1.00 |
| Median | 1 |
| Quartile 3 | 1.00 |
| Maximum | 1.01 |
| Mean of quarter 1 | 0.99 |
| Mean of quarter 2 | 1.00 |
| Mean of quarter 3 | 1.00 |
| Mean of quarter 4 | 1.01 |
| Inter Quartile Range | 0.00 |
| Number outliers low | 2 |
| Percentage of outliers low | 0.02 |
| Mean of outliers low | 0.99 |
| Number of outliers high | 5 |
| Percentage of outliers high | 0.04 |
| Mean of outliers high | 1.01 |
| Extreme Value Index (moments method) | -0.64 |
| VaR(95%) (moments method) | 0.01 |
| Expected Shortfall (moments method) | 0.01 |
| Extreme Value Index (regression method) | -0.10 |
| VaR(95%) (regression method) | 0.00 |
| Expected Shortfall (regression method) | 0.01 |
DRAW DOWN STATISTICS
| Number of observations | 15 |
|---|---|
| Minimum | 0.01 |
| Quartile 1 | 0.02 |
| Median | 0.03 |
| Quartile 3 | 0.08 |
| Maximum | 0.20 |
| Mean of quarter 1 | 0.01 |
| Mean of quarter 2 | 0.03 |
| Mean of quarter 3 | 0.05 |
| Mean of quarter 4 | 0.13 |
| 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 | 0.07 |
| Mean of outliers high | 0.20 |
| Extreme Value Index (moments method) | 0.31 |
| VaR(95%) (moments method) | 0.15 |
| Expected Shortfall (moments method) | 0.21 |
| Extreme Value Index (regression method) | 1.96 |
| VaR(95%) (regression method) | 0.16 |
| Expected Shortfall (regression method) | 0 |
| Number of observations | 66 |
| Minimum | 0.00 |
| Quartile 1 | 0.01 |
| Median | 0.03 |
| Quartile 3 | 0.07 |
| Maximum | 0.20 |
| Mean of quarter 1 | 0.00 |
| Mean of quarter 2 | 0.02 |
| Mean of quarter 3 | 0.05 |
| Mean of quarter 4 | 0.10 |
| Inter Quartile Range | 0.06 |
| Number outliers low | 0 |
| Percentage of outliers low | 0 |
| Mean of outliers low | 0 |
| Number of outliers high | 3 |
| Percentage of outliers high | 0.05 |
| Mean of outliers high | 0.18 |
| Extreme Value Index (moments method) | 0.24 |
| VaR(95%) (moments method) | 0.12 |
| Expected Shortfall (moments method) | 0.17 |
| Extreme Value Index (regression method) | 0.46 |
| VaR(95%) (regression method) | 0.11 |
| Expected Shortfall (regression method) | 0.18 |
| Number of observations | 7 |
| Minimum | 0.00 |
| Quartile 1 | 0.00 |
| Median | 0.01 |
| Quartile 3 | 0.03 |
| Maximum | 0.06 |
| Mean of quarter 1 | 0.00 |
| Mean of quarter 2 | 0.01 |
| Mean of quarter 3 | 0.01 |
| Mean of quarter 4 | 0.05 |
| Inter Quartile Range | 0.02 |
| Number outliers low | 0 |
| Percentage of outliers low | 0 |
| Mean of outliers low | 0 |
| Number of outliers high | 0 |
| Percentage of outliers high | 0 |
| Mean of outliers high | 0 |
| 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 |
| Strat Max DD how much worse than SP500 max DD during strat life? | -382676480 |
| Max Equity Drawdown (num days) | 166 |
| Last 4 Months - Pcnt Negative | 0.5% |
COMBINED STATISTICS
| Annualized return (arithmetic extrapolation) | 0.71 |
|---|---|
| Compounded annual return (geometric extrapolation) | 0.27 |
| Calmar ratio (compounded annual return / max draw down) | 1.37 |
| Compounded annual return / average of 25% largest draw downs | 2.08 |
| Compounded annual return / Expected Shortfall lognormal | 2.75 |
| j156mfCOMBRisPar | 0 |
| j157mfCOMBRisPar | 0 |
| Annualized return (arithmetic extrapolation) | 0.69 |
| Compounded annual return (geometric extrapolation) | 0.27 |
| Calmar ratio (compounded annual return / max draw down) | 1.35 |
| Compounded annual return / average of 25% largest draw downs | 2.61 |
| Compounded annual return / Expected Shortfall lognormal | 12.88 |
| j313dfCOMBRisPar | 0 |
| j314dfCOMBRisPar | 0 |
| Annualized return (arithmetic extrapolation) | 0.03 |
| Compounded annual return (geometric extrapolation) | 0.03 |
| Calmar ratio (compounded annual return / max draw down) | 0.46 |
| Compounded annual return / average of 25% largest draw downs | 0.56 |
| Compounded annual return / Expected Shortfall lognormal | 2.98 |
Trading record
Placed 1441 trades in real-life brokerage accounts.
| Symbol | Side | Qty | Opened | Closed | P/L |
|---|---|---|---|---|---|
| TQQQ | long | 1460 | Aug 18, 2026 | Aug 18, 2026 | ($1,019) |
| TQQQ | long | 1400 | Aug 14, 2026 | Aug 14, 2026 | ($1,122) |
| TQQQ | long | 1400 | Aug 13, 2026 | Aug 13, 2026 | $10 |
| TQQQ | long | 1470 | Aug 10, 2026 | Aug 10, 2026 | ($1,157) |
| TQQQ | long | 1490 | Aug 7, 2026 | Aug 7, 2026 | ($1,011) |
| TQQQ | long | 1540 | Aug 6, 2026 | Aug 6, 2026 | $296 |
| TQQQ | long | 1520 | Aug 4, 2026 | Aug 4, 2026 | $1,790 |
| TQQQ | long | 1600 | Aug 3, 2026 | Aug 3, 2026 | $239 |
| TQQQ | long | 1666 | Jul 31, 2026 | Jul 31, 2026 | ($1,690) |
| TQQQ | long | 1600 | Jul 23, 2026 | Jul 23, 2026 | ($1,148) |
| TQQQ | long | 1100 | Jul 22, 2026 | Jul 22, 2026 | ($387) |
| TQQQ | long | 1160 | Jul 17, 2026 | Jul 17, 2026 | $69 |
| TQQQ | long | 1475 | Jul 10, 2026 | Jul 10, 2026 | ($840) |
| TQQQ | long | 1570 | Jul 8, 2026 | Jul 8, 2026 | $114 |
| TQQQ | long | 1471 | Jul 6, 2026 | Jul 6, 2026 | $63 |
| TQQQ | long | 1537 | Jun 26, 2026 | Jun 26, 2026 | $334 |
| TQQQ | long | 1482 | Jun 24, 2026 | Jun 24, 2026 | ($26) |
| TQQQ | long | 1462 | Jun 23, 2026 | Jun 23, 2026 | $1,109 |
| TQQQ | long | 1337 | Jun 22, 2026 | Jun 22, 2026 | ($1,775) |
| TQQQ | long | 1368 | Jun 18, 2026 | Jun 18, 2026 | $40 |
| TQQQ | long | 1344 | Jun 15, 2026 | Jun 15, 2026 | $289 |
| TQQQ | long | 1165 | Jun 12, 2026 | Jun 12, 2026 | ($1,851) |
| TQQQ | long | 1584 | Jun 11, 2026 | Jun 11, 2026 | $789 |
| TQQQ | long | 1223 | Jun 10, 2026 | Jun 10, 2026 | $929 |
| TQQQ | long | 1465 | Jun 8, 2026 | Jun 8, 2026 | ($1,282) |
| TQQQ | long | 1369 | Jun 4, 2026 | Jun 4, 2026 | ($627) |
| TQQQ | long | 1320 | Jun 2, 2026 | Jun 2, 2026 | $540 |
| TQQQ | long | 1329 | Jun 1, 2026 | Jun 1, 2026 | $1,754 |
| TQQQ | long | 1344 | May 29, 2026 | May 29, 2026 | ($1,726) |
| TQQQ | long | 1367 | May 28, 2026 | May 28, 2026 | $1,772 |
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.