AFBF
- hypothetical · Annual Return (Compounded)
- 73.3%
- Max Drawdown
- 57.3%
- Trades
- 74
- Win Trades
- 67.6%
- Profit Factor
- 38.90
- Win Months
- 11.1%
About this strategy
This strategy is designed for trading futures on micro indices with a deposit of $20,000 or more.
The entry into the transaction is carried out during the trading day, and the exit from the transaction may be different. An open deal can be in operation for up to 14 days.
Additional purchases of up to 10 contracts are also possible. The total drawdown can be up to 25%-35%.
The entry into the transaction is carried out during the trading day, and the exit from the transaction may be different. An open deal can be in operation for up to 14 days.
Additional purchases of up to 10 contracts are also possible. The total drawdown can be up to 25%-35%.
Momentum Short Term
Hypothetical Monthly Returns (includes fees/commissions)
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | YTD |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023 | -22.9 | 44.5 | 3.1 | -39.1 | -29.0 | -50.3 | |||||||
| 2024 | 1068.7 | 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 | ||||
| 2026 | 0.0 | 0.0 | 0.0 | 0.0 |
Statistics
Overview
| Strategy began | 8/7/2023 |
|---|---|
| Suggested Minimum Capital | $25,000 |
| Age | 39 months |
| What it trades | Futures |
| # Trades | 74 |
| # Profitable | 50 |
| % Profitable | 67.6% |
| Avg trade duration | 15.3 days |
| Max peak-to-valley drawdown | 57.4% |
| drawdown period | Oct 20, 2023 - Dec 20, 2023 |
| Annual Return (Compounded) | 73.3% |
| Avg win | $2,482 |
| Avg loss | $133 |
Ratios
| W:L ratio | 38.88 |
|---|---|
| Sharpe Ratio | 0.47 |
| Sortino Ratio | 16.87 |
| Calmar Ratio | 158.67 |
CORRELATION STATISTICS
| Correlation to SP500 | -0.08 |
|---|---|
| Return Percent SP500 (cumu) during strategy life | 68.7% |
| Return of Strat Pcnt - Return of SP500 Pcnt (cumu) | 409.5% |
Return Statistics
| Ann Return (w trading costs) | 73.3% |
|---|---|
| Return Pcnt (Compound or Annual, age-based, NFA compliant) | 0.7% |
| Return Pcnt Since TOS Status | 0.0% |
| Ann Return (Compnd, No Fees) | 73.0% |
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 | 1.0% |
| Percent Trades Options | 0.0% |
| Short Options - Percent Covered | 100.0% |
| Percent Trades Stocks | 0.0% |
Risk of Ruin (Monte-Carlo)
| Chance of 10% account loss | 100.0% |
|---|---|
| Chance of 20% account loss | 100.0% |
| Chance of 30% account loss | 71.0% |
| Chance of 40% account loss | 11.0% |
| Chance of 50% account loss | 1.5% |
| 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) | 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 | $133 |
|---|---|
| Avg Win | $2,482 |
| # Winners | 50 |
| Sum Trade PL (losers) | $3,192 |
| Sum Trade PL (winners) | $124,090 |
| Num Months Winners | 3 |
| # Losers | 24 |
| % Winners | 67.6% |
Dividends
| Dividends Received in Model Acct | 0 |
|---|
Age
| Num Months filled monthly returns table | 34 |
|---|
Frequency
| Avg Position Time (mins) | 22053.05 |
|---|---|
| Avg Position Time (hrs) | 367.55 |
| Avg Trade Length | 15.30 |
| Last Trade Ago | 1078 |
Leverage
| Daily leverage (average) | 4.53 |
|---|---|
| Daily leverage (max) | 12.63 |
Regression
| Alpha | 1.16 |
|---|---|
| Beta | -3.68 |
| Treynor Index | -0.27 |
Maximum Adverse Excursion (MAE)
| MAE:Equity, average, all trades | 0.03 |
|---|---|
| MAE:Equity, 95th Percentile Value for this strat | 0.01 |
| MAE:Equity, average, losing trades | 0.06 |
| MAE:Equity, losing trades only, 95th Percentile Value for this strat | — |
| MAE:Equity, average, winning trades | 0.02 |
| MAE:Equity, win trades only, 95th Percentile Value for this strat | — |
| Avg(MAE) / Avg(PL) - All trades | -3.17 |
| MAE:PL (avg, all trades) | -7.66 |
| MAE:PL (avg, losing trades) | — |
| MAE:PL (avg, winning trades) | — |
| MAE:PL - worst single value for strategy | — |
| Avg(MAE) / Avg(PL) - Winning trades | 2.27 |
| Avg(MAE) / Avg(PL) - Losing trades | -1.24 |
| Hold-and-Hope Ratio | 3.34 |
RATIO STATISTICS
| Mean | -1.29 |
|---|---|
| SD | 1.08 |
| Sharpe ratio (Glass type estimate) | -1.19 |
| Sharpe ratio (Hedges UMVUE) | -0.86 |
| df | 3 |
| t | -0.69 |
| p | 0.73 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -4.62 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.41 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -4.33 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 2.60 |
| Sortino ratio | -1.50 |
| Upside Potential Ratio | 1.05 |
| Upside part of mean | 0.91 |
| Downside part of mean | -2.20 |
| Upside SD | 0.53 |
| Downside SD | 0.86 |
| N nonnegative terms | 1 |
| N negative terms | 3 |
| N of observations | 4 |
| Mean of predictor | 0.16 |
| Mean of criterion | -1.29 |
| SD of predictor | 0.20 |
| SD of criterion | 1.08 |
| Covariance | -0.19 |
| r | -0.90 |
| b (slope, estimate of beta) | -4.96 |
| a (intercept, estimate of alpha) | -0.51 |
| Mean Square Error | 0.33 |
| DF error | 2 |
| t(b) | -2.97 |
| p(b) | 0.95 |
| t(a) | -0.50 |
| p(a) | 0.67 |
| Lowerbound of 95% confidence interval for beta | -12.16 |
| Upperbound of 95% confidence interval for beta | 2.24 |
| Lowerbound of 95% confidence interval for alpha | -4.92 |
| Upperbound of 95% confidence interval for alpha | 3.90 |
| Treynor index (mean / b) | 0.26 |
| Jensen alpha (a) | -0.51 |
| Mean | -1.93 |
| SD | 1.24 |
| Sharpe ratio (Glass type estimate) | -1.56 |
| Sharpe ratio (Hedges UMVUE) | -1.13 |
| df | 3 |
| t | -0.90 |
| p | 0.78 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -5.05 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.15 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -4.64 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 2.39 |
| Sortino ratio | -1.72 |
| Upside Potential Ratio | 0.71 |
| Upside part of mean | 0.79 |
| Downside part of mean | -2.72 |
| Upside SD | 0.46 |
| Downside SD | 1.12 |
| N nonnegative terms | 1 |
| N negative terms | 3 |
| N of observations | 4 |
| Mean of predictor | 0.14 |
| Mean of criterion | -1.93 |
| SD of predictor | 0.19 |
| SD of criterion | 1.24 |
| Covariance | -0.23 |
| r | -0.96 |
| b (slope, estimate of beta) | -6.21 |
| a (intercept, estimate of alpha) | -1.04 |
| Mean Square Error | 0.20 |
| DF error | 2 |
| t(b) | -4.62 |
| p(b) | 0.98 |
| t(a) | -1.31 |
| p(a) | 0.84 |
| Lowerbound of 95% confidence interval for beta | -11.98 |
| Upperbound of 95% confidence interval for beta | -0.43 |
| Lowerbound of 95% confidence interval for alpha | -4.45 |
| Upperbound of 95% confidence interval for alpha | 2.37 |
| Treynor index (mean / b) | 0.31 |
| Jensen alpha (a) | -1.04 |
| VaR(95%) | 0.53 |
| Expected Shortfall on VaR | 0.59 |
| VaR(95%) | 0.48 |
| Expected Shortfall on VaR | 0.62 |
| Mean | 24.04 |
| SD | 16.01 |
| Sharpe ratio (Glass type estimate) | 1.50 |
| Sharpe ratio (Hedges UMVUE) | 1.49 |
| df | 102 |
| t | 0.94 |
| p | 0.45 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.64 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 4.63 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -1.64 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 4.62 |
| Sortino ratio | 49.00 |
| Upside Potential Ratio | 55.66 |
| Upside part of mean | 27.31 |
| Downside part of mean | -3.27 |
| Upside SD | 16.00 |
| Downside SD | 0.49 |
| N nonnegative terms | 41 |
| N negative terms | 62 |
| N of observations | 103 |
| Mean of predictor | 1.08 |
| Mean of criterion | 24.04 |
| SD of predictor | 0.35 |
| SD of criterion | 16.01 |
| Covariance | -0.60 |
| r | -0.11 |
| b (slope, estimate of beta) | -4.86 |
| a (intercept, estimate of alpha) | 29.31 |
| Mean Square Error | 256.02 |
| DF error | 101 |
| t(b) | -1.08 |
| p(b) | 0.86 |
| t(a) | 1.13 |
| p(a) | 0.13 |
| Lowerbound of 95% confidence interval for beta | -13.82 |
| Upperbound of 95% confidence interval for beta | 4.10 |
| Lowerbound of 95% confidence interval for alpha | -22.24 |
| Upperbound of 95% confidence interval for alpha | 80.86 |
| Treynor index (mean / b) | -4.94 |
| Jensen alpha (a) | 29.31 |
| Mean | 4.47 |
| SD | 3.88 |
| Sharpe ratio (Glass type estimate) | 1.15 |
| Sharpe ratio (Hedges UMVUE) | 1.14 |
| df | 102 |
| t | 0.72 |
| p | 0.46 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.98 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 4.28 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -1.99 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 4.27 |
| Sortino ratio | 8.57 |
| Upside Potential Ratio | 15.10 |
| Upside part of mean | 7.87 |
| Downside part of mean | -3.40 |
| Upside SD | 3.84 |
| Downside SD | 0.52 |
| N nonnegative terms | 41 |
| N negative terms | 62 |
| N of observations | 103 |
| Mean of predictor | 1.03 |
| Mean of criterion | 4.47 |
| SD of predictor | 0.33 |
| SD of criterion | 3.88 |
| Covariance | -0.16 |
| r | -0.13 |
| b (slope, estimate of beta) | -1.45 |
| a (intercept, estimate of alpha) | 5.96 |
| Mean Square Error | 14.98 |
| DF error | 101 |
| t(b) | -1.27 |
| p(b) | 0.90 |
| t(a) | 0.95 |
| p(a) | 0.17 |
| Lowerbound of 95% confidence interval for beta | -3.72 |
| Upperbound of 95% confidence interval for beta | 0.82 |
| Lowerbound of 95% confidence interval for alpha | -6.51 |
| Upperbound of 95% confidence interval for alpha | 18.42 |
| Treynor index (mean / b) | -3.07 |
| Jensen alpha (a) | 5.96 |
| VaR(95%) | 0.31 |
| Expected Shortfall on VaR | 0.38 |
| VaR(95%) | 0.03 |
| Expected Shortfall on VaR | 0.07 |
| VAR (95 Confidence Intrvl) | 0.31 |
ORDER STATISTICS
| Number of observations | 4 |
|---|---|
| Minimum | 0.54 |
| Quartile 1 | 0.78 |
| Median | 0.86 |
| Quartile 3 | 0.98 |
| Maximum | 1.31 |
| Mean of quarter 1 | 0.54 |
| Mean of quarter 2 | 0.85 |
| Mean of quarter 3 | 0.87 |
| Mean of quarter 4 | 1.31 |
| Inter Quartile Range | 0.21 |
| Number outliers low | 0 |
| Percentage of outliers low | 0 |
| Mean of outliers low | 0 |
| Number of outliers high | 1 |
| Percentage of outliers high | 0.25 |
| Mean of outliers high | 1.31 |
| 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 | 103 |
| Minimum | 0.82 |
| Quartile 1 | 0.99 |
| Median | 1 |
| Quartile 3 | 1.01 |
| Maximum | 11.03 |
| Mean of quarter 1 | 0.95 |
| Mean of quarter 2 | 1.00 |
| Mean of quarter 3 | 1.00 |
| Mean of quarter 4 | 1.41 |
| Inter Quartile Range | 0.02 |
| Number outliers low | 13 |
| Percentage of outliers low | 0.13 |
| Mean of outliers low | 0.93 |
| Number of outliers high | 7 |
| Percentage of outliers high | 0.07 |
| Mean of outliers high | 2.49 |
| Extreme Value Index (moments method) | 0.18 |
| VaR(95%) (moments method) | 0.03 |
| Expected Shortfall (moments method) | 0.05 |
| Extreme Value Index (regression method) | 0.28 |
| VaR(95%) (regression method) | 0.04 |
| Expected Shortfall (regression method) | 0.08 |
DRAW DOWN STATISTICS
| Number of observations | 2 |
|---|---|
| Minimum | 0.13 |
| Quartile 1 | 0.23 |
| Median | 0.33 |
| Quartile 3 | 0.43 |
| Maximum | 0.54 |
| Mean of quarter 1 | 0.13 |
| Mean of quarter 2 | 0 |
| Mean of quarter 3 | 0 |
| Mean of quarter 4 | 0.54 |
| Inter Quartile Range | 0.20 |
| 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 | 6 |
| Minimum | 0.00 |
| Quartile 1 | 0.01 |
| Median | 0.01 |
| Quartile 3 | 0.17 |
| Maximum | 0.56 |
| Mean of quarter 1 | 0.01 |
| Mean of quarter 2 | 0.01 |
| Mean of quarter 3 | 0.01 |
| Mean of quarter 4 | 0.39 |
| Inter Quartile Range | 0.16 |
| Number outliers low | 0 |
| Percentage of outliers low | 0 |
| Mean of outliers low | 0 |
| Number of outliers high | 1 |
| Percentage of outliers high | 0.17 |
| Mean of outliers high | 0.56 |
| 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? | -424479520 |
| Max Equity Drawdown (num days) | 61 |
| Last 4 Months - Pcnt Negative | 0.0% |
COMBINED STATISTICS
| Annualized return (arithmetic extrapolation) | -1.41 |
|---|---|
| Compounded annual return (geometric extrapolation) | -0.85 |
| Calmar ratio (compounded annual return / max draw down) | -1.59 |
| Compounded annual return / average of 25% largest draw downs | -1.59 |
| Compounded annual return / Expected Shortfall lognormal | -1.44 |
| j156mfCOMBRisPar | 0 |
| j157mfCOMBRisPar | 0 |
| Annualized return (arithmetic extrapolation) | 12.34 |
| Compounded annual return (geometric extrapolation) | 88.49 |
| Calmar ratio (compounded annual return / max draw down) | 158.67 |
| Compounded annual return / average of 25% largest draw downs | 227.77 |
| Compounded annual return / Expected Shortfall lognormal | 234.46 |
Trading record
| Symbol | Side | Qty | Opened | Closed | P/L |
|---|---|---|---|---|---|
| @MNQ Z3 | long | 2 | Oct 31, 2023 | Oct 31, 2023 | ($67) |
| @MNQ Z3 | short | 2 | Oct 31, 2023 | Oct 31, 2023 | ($63) |
| @MNQ Z3 | long | 2 | Oct 31, 2023 | Oct 31, 2023 | $186 |
| @MNQ Z3 | long | 6 | Oct 25, 2023 | Oct 26, 2023 | ($133) |
| @MNQ Z3 | long | 2 | Oct 20, 2023 | Oct 20, 2023 | $94 |
| @MNQ Z3 | short | 2 | Oct 17, 2023 | Oct 18, 2023 | $157 |
| @MNQ Z3 | long | 2 | Oct 17, 2023 | Oct 17, 2023 | $126 |
| @MNQ Z3 | short | 2 | Oct 16, 2023 | Oct 16, 2023 | $53 |
| @M2K Z3 | long | 4 | Oct 12, 2023 | Oct 16, 2023 | ($7) |
| @MNQ Z3 | long | 2 | Oct 12, 2023 | Oct 12, 2023 | $172 |
| @MNQ Z3 | short | 4 | Oct 11, 2023 | Oct 11, 2023 | $290 |
| @MNQ Z3 | short | 2 | Oct 11, 2023 | Oct 11, 2023 | $218 |
| @MNQ Z3 | short | 2 | Oct 10, 2023 | Oct 10, 2023 | $323 |
| @MNQ Z3 | short | 6 | Oct 1, 2023 | Oct 1, 2023 | $24 |
| @MNQ Z3 | short | 4 | Sep 29, 2023 | Sep 29, 2023 | $221 |
| @MNQ Z3 | short | 2 | Sep 29, 2023 | Sep 29, 2023 | ($70) |
| @MNQ Z3 | long | 2 | Sep 26, 2023 | Sep 28, 2023 | $399 |
| @MNQ Z3 | long | 2 | Sep 26, 2023 | Sep 26, 2023 | $70 |
| @MNQ Z3 | short | 2 | Sep 26, 2023 | Sep 26, 2023 | ($68) |
| @MNQ Z3 | short | 4 | Sep 26, 2023 | Sep 26, 2023 | $138 |
| @MNQ Z3 | short | 2 | Sep 25, 2023 | Sep 26, 2023 | $372 |
| @MNQ Z3 | short | 3 | Sep 25, 2023 | Sep 25, 2023 | $134 |
| @MNQ Z3 | long | 2 | Sep 25, 2023 | Sep 25, 2023 | $107 |
| @MNQ Z3 | short | 4 | Sep 25, 2023 | Sep 25, 2023 | $4 |
| @MNQ Z3 | long | 2 | Sep 21, 2023 | Sep 22, 2023 | ($4) |
| @MNQ Z3 | short | 2 | Sep 20, 2023 | Sep 20, 2023 | $236 |
| @MNQ Z3 | long | 2 | Sep 19, 2023 | Sep 19, 2023 | $348 |
| @MNQ Z3 | short | 2 | Sep 18, 2023 | Sep 19, 2023 | $385 |
| @MNQ Z3 | long | 4 | Sep 18, 2023 | Sep 18, 2023 | ($222) |
| @MNQ Z3 | short | 5 | Sep 18, 2023 | Sep 18, 2023 | ($260) |
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.