The Neural Swinger
- hypothetical · Annual Return (Compounded)
- -6.7%
- Max Drawdown
- 43.2%
- Trades
- 8
- Win Trades
- 50.0%
- Profit Factor
- 0.70
- Win Months
- 4.8%
About this strategy
Empower your investments with our tailor-made Neural Swinger trading strategy! This strategy is designed for investors who aim to optimize their returns, focusing their efforts on one ETF at a time.
The Neural Swinger strategy goes beyond just picking an ETF; it prioritizes accuracy and timing. Our method is sharpened to identify a specific price target for buying at a limit. If the ETF does not hit this purchase target, we simply hold our position - no haste, no missed chances. Once a trade is initiated, we define a specific profit target for selling, thus aiming to maximize potential returns.
What makes us unique? Our Neural Swinger strategy has been rigorously back-tested and enhanced using walk forward analysis over the past ten years. This meticulous process enables us to identify the most promising ETFs and ascertain the optimal entry and exit points to aim for consistent positive returns.
Join us to streamline your trading process and boost your returns. Subscribe now to the Neural Swinger strategy and let's strive to outperform the market together!
Please bear in mind, though, that while our strategy has shown promising results in back-tests, it does not guarantee future results due to the unpredictable nature of the financial markets.
The Neural Swinger strategy goes beyond just picking an ETF; it prioritizes accuracy and timing. Our method is sharpened to identify a specific price target for buying at a limit. If the ETF does not hit this purchase target, we simply hold our position - no haste, no missed chances. Once a trade is initiated, we define a specific profit target for selling, thus aiming to maximize potential returns.
What makes us unique? Our Neural Swinger strategy has been rigorously back-tested and enhanced using walk forward analysis over the past ten years. This meticulous process enables us to identify the most promising ETFs and ascertain the optimal entry and exit points to aim for consistent positive returns.
Join us to streamline your trading process and boost your returns. Subscribe now to the Neural Swinger strategy and let's strive to outperform the market together!
Please bear in mind, though, that while our strategy has shown promising results in back-tests, it does not guarantee future results due to the unpredictable nature of the financial markets.
Momentum
Hypothetical Monthly Returns (includes fees/commissions)
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | YTD |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023 | -1.0 | 16.6 | 18.0 | -18.3 | -15.0 | -16.7 | 0.0 | 0.0 | -21.2 | ||||
| 2024 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 2025 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 2026 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
Statistics
Overview
| Strategy began | 5/17/2023 |
|---|---|
| Suggested Minimum Capital | $25,000 |
| Age | 41 months |
| What it trades | Stocks |
| # Trades | 8 |
| # Profitable | 4 |
| % Profitable | 50.0% |
| Avg trade duration | 12.6 days |
| Max peak-to-valley drawdown | 43.2% |
| drawdown period | Aug 01, 2023 - Oct 12, 2023 |
| Annual Return (Compounded) | -6.7% |
| Avg win | $2,163 |
| Avg loss | $3,315 |
Ratios
| W:L ratio | 0.65 |
|---|---|
| Sharpe Ratio | -0.49 |
| Sortino Ratio | -0.62 |
| Calmar Ratio | -0.64 |
CORRELATION STATISTICS
| Correlation to SP500 | 0.11 |
|---|---|
| Return Percent SP500 (cumu) during strategy life | 83.3% |
| Return of Strat Pcnt - Return of SP500 Pcnt (cumu) | -108.8% |
Return Statistics
| Ann Return (w trading costs) | -6.7% |
|---|---|
| Return Pcnt (Compound or Annual, age-based, NFA compliant) | -0.1% |
| Return Pcnt Since TOS Status | 0.0% |
| Ann Return (Compnd, No Fees) | -5.7% |
Slump
| Current Slump as Pcnt Equity | 72.9% |
|---|---|
| Current Slump, time of slump as pcnt of strategy life | 0.9% |
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 | 100.0% |
|---|---|
| Chance of 20% account loss | 86.0% |
| Chance of 30% account loss | 22.0% |
| Chance of 40% account loss | 4.5% |
| 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% |
Automation
| Percentage Signals Automated | 86.7% |
|---|
Popularity
| Popularity (Today) | 0 |
|---|---|
| Popularity (Last 6 weeks) | 0 |
| Popularity (7 days, Percentile 1000 scale) | 0 |
Trading Style
| Any stock shorts? 0/1 | 0 |
|---|
Trades-Own-System Certification
| Trades Own System? | 0 |
|---|---|
| TOS percent | 0.0% |
Win / Loss
| Avg Loss | $3,315 |
|---|---|
| Avg Win | $2,163 |
| # Winners | 4 |
| Sum Trade PL (losers) | $13,261 |
| Sum Trade PL (winners) | $8,653 |
| Num Months Winners | 2 |
| # Losers | 4 |
| % Winners | 50.0% |
Dividends
| Dividends Received in Model Acct | 12 |
|---|
Age
| Num Months filled monthly returns table | 42 |
|---|
Frequency
| Avg Position Time (mins) | 18151.85 |
|---|---|
| Avg Position Time (hrs) | 302.53 |
| Avg Trade Length | 12.60 |
| Last Trade Ago | 1097 |
Leverage
| Daily leverage (average) | 3.22 |
|---|---|
| Daily leverage (max) | 4.44 |
Regression
| Alpha | -0.03 |
|---|---|
| Beta | 0.10 |
| Treynor Index | -0.22 |
Maximum Adverse Excursion (MAE)
| MAE:Equity, average, all trades | 0.11 |
|---|---|
| MAE:Equity, 95th Percentile Value for this strat | 0.46 |
| MAE:Equity, average, losing trades | 0.20 |
| MAE:Equity, losing trades only, 95th Percentile Value for this strat | — |
| MAE:Equity, average, winning trades | 0.03 |
| MAE:Equity, win trades only, 95th Percentile Value for this strat | — |
| Avg(MAE) / Avg(PL) - All trades | -4.72 |
| MAE:PL (avg, all trades) | -0.69 |
| MAE:PL (avg, losing trades) | — |
| MAE:PL (avg, winning trades) | — |
| MAE:PL - worst single value for strategy | — |
| Avg(MAE) / Avg(PL) - Winning trades | 0.32 |
| Avg(MAE) / Avg(PL) - Losing trades | -1.44 |
| Hold-and-Hope Ratio | -0.21 |
RATIO STATISTICS
| Mean | -0.18 |
|---|---|
| SD | 0.56 |
| Sharpe ratio (Glass type estimate) | -0.31 |
| Sharpe ratio (Hedges UMVUE) | -0.28 |
| df | 7 |
| t | -0.25 |
| p | 0.60 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.71 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.11 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -2.68 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 2.13 |
| Sortino ratio | -0.40 |
| Upside Potential Ratio | 1.32 |
| Upside part of mean | 0.58 |
| Downside part of mean | -0.75 |
| Upside SD | 0.30 |
| Downside SD | 0.44 |
| N nonnegative terms | 3 |
| N negative terms | 5 |
| N of observations | 8 |
| Mean of predictor | 0.97 |
| Mean of criterion | -0.18 |
| SD of predictor | 0.36 |
| SD of criterion | 0.56 |
| Covariance | 0.06 |
| r | 0.28 |
| b (slope, estimate of beta) | 0.44 |
| a (intercept, estimate of alpha) | -0.60 |
| Mean Square Error | 0.34 |
| DF error | 6 |
| t(b) | 0.70 |
| p(b) | 0.25 |
| t(a) | -0.64 |
| p(a) | 0.73 |
| Lowerbound of 95% confidence interval for beta | -1.08 |
| Upperbound of 95% confidence interval for beta | 1.95 |
| Lowerbound of 95% confidence interval for alpha | -2.88 |
| Upperbound of 95% confidence interval for alpha | 1.69 |
| Treynor index (mean / b) | -0.40 |
| Jensen alpha (a) | -0.60 |
| Mean | -0.33 |
| SD | 0.61 |
| Sharpe ratio (Glass type estimate) | -0.54 |
| Sharpe ratio (Hedges UMVUE) | -0.48 |
| df | 7 |
| t | -0.44 |
| p | 0.67 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.94 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.89 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -2.90 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 1.93 |
| Sortino ratio | -0.65 |
| Upside Potential Ratio | 1.05 |
| Upside part of mean | 0.54 |
| Downside part of mean | -0.87 |
| Upside SD | 0.27 |
| Downside SD | 0.51 |
| N nonnegative terms | 3 |
| N negative terms | 5 |
| N of observations | 8 |
| Mean of predictor | 0.88 |
| Mean of criterion | -0.33 |
| SD of predictor | 0.33 |
| SD of criterion | 0.61 |
| Covariance | 0.07 |
| r | 0.34 |
| b (slope, estimate of beta) | 0.65 |
| a (intercept, estimate of alpha) | -0.90 |
| Mean Square Error | 0.38 |
| DF error | 6 |
| t(b) | 0.90 |
| p(b) | 0.20 |
| t(a) | -0.91 |
| p(a) | 0.80 |
| Lowerbound of 95% confidence interval for beta | -1.11 |
| Upperbound of 95% confidence interval for beta | 2.40 |
| Lowerbound of 95% confidence interval for alpha | -3.32 |
| Upperbound of 95% confidence interval for alpha | 1.51 |
| Treynor index (mean / b) | -0.52 |
| Jensen alpha (a) | -0.90 |
| VaR(95%) | 0.27 |
| Expected Shortfall on VaR | 0.32 |
| VaR(95%) | 0.17 |
| Expected Shortfall on VaR | 0.31 |
| Mean | -0.28 |
| SD | 0.30 |
| Sharpe ratio (Glass type estimate) | -0.93 |
| Sharpe ratio (Hedges UMVUE) | -0.93 |
| df | 176 |
| t | -0.77 |
| p | 0.53 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -3.32 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.46 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -3.31 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 1.46 |
| Sortino ratio | -1.18 |
| Upside Potential Ratio | 4.97 |
| Upside part of mean | 1.19 |
| Downside part of mean | -1.47 |
| Upside SD | 0.19 |
| Downside SD | 0.24 |
| N nonnegative terms | 41 |
| N negative terms | 136 |
| N of observations | 177 |
| Mean of predictor | 0.95 |
| Mean of criterion | -0.28 |
| SD of predictor | 0.31 |
| SD of criterion | 0.30 |
| Covariance | 0.01 |
| r | 0.12 |
| b (slope, estimate of beta) | 0.12 |
| a (intercept, estimate of alpha) | -0.39 |
| Mean Square Error | 0.09 |
| DF error | 175 |
| t(b) | 1.56 |
| p(b) | 0.43 |
| t(a) | -1.05 |
| p(a) | 0.55 |
| Lowerbound of 95% confidence interval for beta | -0.03 |
| Upperbound of 95% confidence interval for beta | 0.26 |
| Lowerbound of 95% confidence interval for alpha | -1.13 |
| Upperbound of 95% confidence interval for alpha | 0.35 |
| Treynor index (mean / b) | -2.45 |
| Jensen alpha (a) | -0.39 |
| Mean | -0.33 |
| SD | 0.31 |
| Sharpe ratio (Glass type estimate) | -1.07 |
| Sharpe ratio (Hedges UMVUE) | -1.07 |
| df | 176 |
| t | -0.88 |
| p | 0.53 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -3.46 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.31 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -3.46 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 1.32 |
| Sortino ratio | -1.34 |
| Upside Potential Ratio | 4.77 |
| Upside part of mean | 1.17 |
| Downside part of mean | -1.50 |
| Upside SD | 0.18 |
| Downside SD | 0.24 |
| N nonnegative terms | 41 |
| N negative terms | 136 |
| N of observations | 177 |
| Mean of predictor | 0.90 |
| Mean of criterion | -0.33 |
| SD of predictor | 0.31 |
| SD of criterion | 0.31 |
| Covariance | 0.01 |
| r | 0.12 |
| b (slope, estimate of beta) | 0.12 |
| a (intercept, estimate of alpha) | -0.44 |
| Mean Square Error | 0.09 |
| DF error | 175 |
| t(b) | 1.59 |
| p(b) | 0.42 |
| t(a) | -1.16 |
| p(a) | 0.56 |
| Lowerbound of 95% confidence interval for beta | -0.03 |
| Upperbound of 95% confidence interval for beta | 0.27 |
| Lowerbound of 95% confidence interval for alpha | -1.18 |
| Upperbound of 95% confidence interval for alpha | 0.31 |
| Treynor index (mean / b) | -2.76 |
| Jensen alpha (a) | -0.44 |
| VaR(95%) | 0.03 |
| Expected Shortfall on VaR | 0.04 |
| VaR(95%) | 0.02 |
| Expected Shortfall on VaR | 0.03 |
| Mean | -0.95 |
| SD | 0.31 |
| Sharpe ratio (Glass type estimate) | -3.06 |
| Sharpe ratio (Hedges UMVUE) | -3.04 |
| df | 130 |
| t | -2.16 |
| p | 0.59 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -5.85 |
| Upperbound of 95% confidence interval for Sharpe Ratio | -0.26 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -5.84 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.24 |
| Sortino ratio | -3.47 |
| Upside Potential Ratio | 3.19 |
| Upside part of mean | 0.87 |
| Downside part of mean | -1.82 |
| Upside SD | 0.16 |
| Downside SD | 0.27 |
| N nonnegative terms | 23 |
| N negative terms | 108 |
| N of observations | 131 |
| Mean of predictor | 1.12 |
| Mean of criterion | -0.95 |
| SD of predictor | 0.35 |
| SD of criterion | 0.31 |
| Covariance | 0.01 |
| r | 0.12 |
| b (slope, estimate of beta) | 0.11 |
| a (intercept, estimate of alpha) | -1.07 |
| Mean Square Error | 0.10 |
| DF error | 129 |
| t(b) | 1.38 |
| p(b) | 0.42 |
| t(a) | -2.40 |
| p(a) | 0.63 |
| Lowerbound of 95% confidence interval for beta | -0.05 |
| Upperbound of 95% confidence interval for beta | 0.26 |
| Lowerbound of 95% confidence interval for alpha | -1.95 |
| Upperbound of 95% confidence interval for alpha | -0.19 |
| Treynor index (mean / b) | -8.92 |
| Jensen alpha (a) | -1.07 |
| Mean | -1.00 |
| SD | 0.32 |
| Sharpe ratio (Glass type estimate) | -3.17 |
| Sharpe ratio (Hedges UMVUE) | -3.16 |
| df | 130 |
| t | -2.24 |
| p | 0.60 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -5.97 |
| Upperbound of 95% confidence interval for Sharpe Ratio | -0.37 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -5.95 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.36 |
| Sortino ratio | -3.56 |
| Upside Potential Ratio | 3.07 |
| Upside part of mean | 0.86 |
| Downside part of mean | -1.86 |
| Upside SD | 0.15 |
| Downside SD | 0.28 |
| N nonnegative terms | 23 |
| N negative terms | 108 |
| N of observations | 131 |
| Mean of predictor | 1.06 |
| Mean of criterion | -1.00 |
| SD of predictor | 0.35 |
| SD of criterion | 0.32 |
| Covariance | 0.01 |
| r | 0.12 |
| b (slope, estimate of beta) | 0.11 |
| a (intercept, estimate of alpha) | -1.12 |
| Mean Square Error | 0.10 |
| DF error | 129 |
| t(b) | 1.39 |
| p(b) | 0.42 |
| t(a) | -2.47 |
| p(a) | 0.63 |
| Lowerbound of 95% confidence interval for beta | -0.05 |
| VAR (95 Confidence Intrvl) | 0.03 |
| Upperbound of 95% confidence interval for beta | 0.27 |
| Lowerbound of 95% confidence interval for alpha | -2.01 |
| Upperbound of 95% confidence interval for alpha | -0.22 |
| Treynor index (mean / b) | -9.14 |
| Jensen alpha (a) | -1.12 |
| VaR(95%) | 0.04 |
| Expected Shortfall on VaR | 0.04 |
| VaR(95%) | 0.02 |
| Expected Shortfall on VaR | 0.04 |
ORDER STATISTICS
| Number of observations | 8 |
|---|---|
| Minimum | 0.70 |
| Quartile 1 | 0.95 |
| Median | 1 |
| Quartile 3 | 1.09 |
| Maximum | 1.21 |
| Mean of quarter 1 | 0.75 |
| Mean of quarter 2 | 1 |
| Mean of quarter 3 | 1.04 |
| Mean of quarter 4 | 1.15 |
| Inter Quartile Range | 0.14 |
| Number outliers low | 1 |
| Percentage of outliers low | 0.12 |
| Mean of outliers low | 0.70 |
| 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 |
| Number of observations | 177 |
| Minimum | 0.93 |
| Quartile 1 | 1.00 |
| Median | 1 |
| Quartile 3 | 1 |
| Maximum | 1.06 |
| Mean of quarter 1 | 0.98 |
| Mean of quarter 2 | 1 |
| Mean of quarter 3 | 1 |
| Mean of quarter 4 | 1.02 |
| Inter Quartile Range | 0.00 |
| Number outliers low | 43 |
| Percentage of outliers low | 0.24 |
| Mean of outliers low | 0.98 |
| Number of outliers high | 41 |
| Percentage of outliers high | 0.23 |
| Mean of outliers high | 1.02 |
| Extreme Value Index (moments method) | -0.21 |
| VaR(95%) (moments method) | 0.00 |
| Expected Shortfall (moments method) | 0.01 |
| Extreme Value Index (regression method) | -0.34 |
| VaR(95%) (regression method) | 0.02 |
| Expected Shortfall (regression method) | 0.03 |
| Number of observations | 131 |
| Minimum | 0.93 |
| Quartile 1 | 1.00 |
| Median | 1 |
| Quartile 3 | 1 |
| Maximum | 1.06 |
| Mean of quarter 1 | 0.97 |
| Mean of quarter 2 | 1.00 |
| Mean of quarter 3 | 1 |
| Mean of quarter 4 | 1.01 |
| Inter Quartile Range | 0.00 |
| Number outliers low | 29 |
| Percentage of outliers low | 0.22 |
| Mean of outliers low | 0.97 |
| Number of outliers high | 21 |
| Percentage of outliers high | 0.16 |
| Mean of outliers high | 1.02 |
| Extreme Value Index (moments method) | -0.75 |
| VaR(95%) (moments method) | 0.01 |
| Expected Shortfall (moments method) | 0.01 |
| Extreme Value Index (regression method) | -0.70 |
| VaR(95%) (regression method) | 0.03 |
| Expected Shortfall (regression method) | 0.04 |
DRAW DOWN STATISTICS
| Number of observations | 1 |
|---|---|
| Minimum | 0.38 |
| Quartile 1 | 0.38 |
| Median | 0.38 |
| Quartile 3 | 0.38 |
| Maximum | 0.38 |
| Mean of quarter 1 | 0 |
| Mean of quarter 2 | 0 |
| Mean of quarter 3 | 0 |
| Mean of quarter 4 | 0 |
| Inter Quartile Range | 0 |
| 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 |
| Number of observations | 5 |
| Minimum | 0.01 |
| Quartile 1 | 0.02 |
| Median | 0.03 |
| Quartile 3 | 0.03 |
| Maximum | 0.41 |
| Mean of quarter 1 | 0.02 |
| Mean of quarter 2 | 0.03 |
| Mean of quarter 3 | 0.03 |
| Mean of quarter 4 | 0.41 |
| Inter Quartile Range | 0.01 |
| Number outliers low | 1 |
| Percentage of outliers low | 0.20 |
| Mean of outliers low | 0.01 |
| Number of outliers high | 1 |
| Percentage of outliers high | 0.20 |
| Mean of outliers high | 0.41 |
| 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 | 2 |
| Minimum | 0.02 |
| Quartile 1 | 0.12 |
| Median | 0.22 |
| Quartile 3 | 0.31 |
| Maximum | 0.41 |
| Mean of quarter 1 | 0.02 |
| Mean of quarter 2 | 0 |
| Mean of quarter 3 | 0 |
| Mean of quarter 4 | 0.41 |
| Inter Quartile Range | 0.19 |
| 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? | -444085376 |
| Max Equity Drawdown (num days) | 72 |
| Last 4 Months - Pcnt Negative | 0.0% |
COMBINED STATISTICS
| Annualized return (arithmetic extrapolation) | -0.28 |
|---|---|
| Compounded annual return (geometric extrapolation) | -0.26 |
| Calmar ratio (compounded annual return / max draw down) | -0.68 |
| Compounded annual return / average of 25% largest draw downs | 0 |
| Compounded annual return / Expected Shortfall lognormal | -0.81 |
| j156mfCOMBRisPar | 0 |
| j157mfCOMBRisPar | 0 |
| Annualized return (arithmetic extrapolation) | -0.27 |
| Compounded annual return (geometric extrapolation) | -0.26 |
| Calmar ratio (compounded annual return / max draw down) | -0.63 |
| Compounded annual return / average of 25% largest draw downs | -0.63 |
| Compounded annual return / Expected Shortfall lognormal | -6.59 |
| j313dfCOMBRisPar | 0 |
| j314dfCOMBRisPar | 0 |
| Annualized return (arithmetic extrapolation) | -0.77 |
| Compounded annual return (geometric extrapolation) | -0.62 |
| Calmar ratio (compounded annual return / max draw down) | -1.52 |
| Compounded annual return / average of 25% largest draw downs | -1.52 |
| Compounded annual return / Expected Shortfall lognormal | -14.46 |
Trading record
Placed 2 trades in real-life brokerage accounts.
| Symbol | Side | Qty | Opened | Closed | P/L |
|---|---|---|---|---|---|
| LABU | long | 6072 | Sep 8, 2023 | Oct 13, 2023 | ($9,599) |
| LABU | long | 5490 | Jul 26, 2023 | Sep 5, 2023 | ($3,189) |
| TNA | long | 808 | Jul 6, 2023 | Jul 14, 2023 | $4,285 |
| UPRO | long | 589 | Jun 23, 2023 | Jul 5, 2023 | $1,521 |
| LABU | long | 3659 | Jun 14, 2023 | Jun 15, 2023 | ($481) |
| KOLD | long | 340 | Jun 5, 2023 | Jun 6, 2023 | $1,571 |
| UPRO | long | 716 | May 31, 2023 | Jun 2, 2023 | $1,254 |
| ENPH | long | 17 | May 22, 2023 | May 23, 2023 | ($7) |
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.