HyperSwing Forex 3
- hypothetical · Annual Return (Compounded)
- 1.1%
- Max Drawdown
- 37.4%
- Trades
- 129
- Win Trades
- 50.4%
- Profit Factor
- 1.30
- Win Months
- 46.0%
About this strategy
This is a trend strategy based on a proprietary algorithm that triggers either buying or shorting on the currency market (FOREX). The support consists of three FOREX pairs such as EUR-CAD, GBP-JPY, USD-NOK or others.
A trade can last from several hours to several weeks depending on the volatility of the market (SWING TRADING).
- Trend detection and validation.
- Triggering orders, either purchase (LONG) or selling (SHORT).
- Definition of three « TARGETS » objectives and a maximum potential loss "STOP LOSS"
- If the "TARGETS" are reached, the position goes off market with profit.
- If the "STOP LOSS" is reached, the position goes off market with loss and the next trade is initiated with a quantity multiplier of maximum 2.
- If the system requires it, a pair may be substituted for another pair that is not part of the initial selection.
There is a light version of this strategy. It is called HyperSwing Forex 1 and is available on Collective2.
More info on our website gencap.eu
If you have any specific questions, please contact us directly.
You can also follow us on :
Facebook : www.facebook.com/GenCap
Twitter : @GenCapTrading
A trade can last from several hours to several weeks depending on the volatility of the market (SWING TRADING).
- Trend detection and validation.
- Triggering orders, either purchase (LONG) or selling (SHORT).
- Definition of three « TARGETS » objectives and a maximum potential loss "STOP LOSS"
- If the "TARGETS" are reached, the position goes off market with profit.
- If the "STOP LOSS" is reached, the position goes off market with loss and the next trade is initiated with a quantity multiplier of maximum 2.
- If the system requires it, a pair may be substituted for another pair that is not part of the initial selection.
There is a light version of this strategy. It is called HyperSwing Forex 1 and is available on Collective2.
More info on our website gencap.eu
If you have any specific questions, please contact us directly.
You can also follow us on :
Facebook : www.facebook.com/GenCap
Twitter : @GenCapTrading
Hypothetical Monthly Returns (includes fees/commissions)
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | YTD |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013 | 3.9 | 7.7 | 9.9 | 2.8 | 11.0 | 6.4 | 0.5 | -7.2 | 2.6 | -10.4 | 28.0 | ||
| 2014 | -16.6 | 9.7 | 4.7 | 5.0 | -1.7 | -9.3 | 1.9 | -0.9 | -0.1 | -0.0 | -1.4 | 0.0 | -10.8 |
| 2015 | -0.5 | -0.0 | 0.6 | -0.7 | 0.3 | 0.2 | 0.3 | 0.2 | 0.3 | -0.1 | 0.2 | -0.1 | 0.8 |
| 2016 | -0.0 | 0.1 | -0.2 | -0.4 | 0.3 | 0.3 | 0.0 | -0.3 | -0.3 | 0.2 | 0.4 | 0.2 | 0.1 |
| 2017 | -0.4 | 0.1 | 0.1 | 0.0 | -0.1 | 0.0 | -0.7 | -0.2 | 0.3 | 0.2 | 0.1 | 0.1 | -0.4 |
| 2018 | -0.8 | 0.1 | -0.0 | 0.1 | 0.4 | -0.1 | 0.1 | 0.2 | -0.3 | 0.4 | 0.1 | 0.2 | 0.5 |
| 2019 | -0.2 | 0.1 | 0.0 | -0.0 | 0.1 | -0.3 | 0.1 | 0.6 | -0.0 | 0.1 | -0.0 | -0.4 | 0.2 |
| 2020 | 0.2 | 0.4 | 1.0 | -0.0 | -0.4 | -0.2 | -0.7 | -0.1 | 0.7 | 0.0 | -0.8 | -0.2 | -0.2 |
| 2021 | -0.1 | 0.2 | -0.1 | -0.4 | 0.2 | 0.1 | 0.4 | 0.0 | -0.3 | -0.4 | 0.8 | -0.0 | 0.5 |
| 2022 | -0.1 | -0.2 | 0.0 | 0.1 | 0.6 | 0.5 | -0.1 | -0.2 | 0.9 | -0.2 | -0.5 | -0.1 | 0.8 |
| 2023 | 0.2 | 0.3 | 0.1 | 0.1 | 0.5 | -0.2 | -0.6 | 0.0 | 0.4 | 0.4 | -0.2 | -0.5 | 0.4 |
| 2024 | 0.3 | 0.0 | 0.2 | 0.1 | -0.4 | 0.0 | 0.3 | -0.3 | -0.0 | 0.3 | 0.1 | 0.2 | 0.8 |
| 2025 | -0.0 | -0.1 | -0.6 | 0.0 | -0.3 | 0.0 | 0.0 | -0.1 | -0.1 | 0.2 | 0.0 | 0.0 | -0.9 |
| 2026 | -0.5 | -0.0 | 0.1 | -0.4 | -0.1 | 0.6 | -0.3 | 0.8 | -1.1 | -0.9 |
Statistics
Overview
| Strategy began | 3/14/2013 |
|---|---|
| Suggested Minimum Capital | $35,000 |
| Age | 164 months |
| What it trades | Forex |
| # Trades | 129 |
| # Profitable | 65 |
| % Profitable | 50.4% |
| Avg trade duration | 6.9 days |
| Max peak-to-valley drawdown | 37.4% |
| drawdown period | Sept 19, 2013 - July 21, 2014 |
| Annual Return (Compounded) | 1.1% |
| Avg win | $1,048 |
| Avg loss | $847 |
Ratios
| W:L ratio | 1.26 |
|---|---|
| Sharpe Ratio | -0.03 |
| Sortino Ratio | -0.06 |
| Calmar Ratio | 0.36 |
CORRELATION STATISTICS
| Correlation to SP500 | -0.02 |
|---|---|
| Return Percent SP500 (cumu) during strategy life | 386.8% |
| Return of Strat Pcnt - Return of SP500 Pcnt (cumu) | -377.8% |
Return Statistics
| Ann Return (w trading costs) | 1.1% |
|---|---|
| Return Pcnt (Compound or Annual, age-based, NFA compliant) | 0.0% |
| Return Pcnt Since TOS Status | 0.0% |
| Ann Return (Compnd, No Fees) | 2.5% |
Slump
| Current Slump as Pcnt Equity | 39.1% |
|---|---|
| Current Slump, time of slump as pcnt of strategy life | 1.0% |
Instruments
| Percent Trades Forex | 1.0% |
|---|---|
| Percent Trades Futures | 0.0% |
| Percent Trades Options | 0.0% |
| 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 | 100.0% |
| 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 | 84.9% |
|---|
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 | $847 |
|---|---|
| Avg Win | $1,048 |
| # Winners | 65 |
| Sum Trade PL (losers) | $54,193 |
| Sum Trade PL (winners) | $68,099 |
| Num Months Winners | 91 |
| # Losers | 64 |
| % Winners | 50.4% |
Dividends
| Dividends Received in Model Acct | 0 |
|---|
Age
| Num Months filled monthly returns table | 163 |
|---|
Frequency
| Avg Position Time (mins) | 9939.75 |
|---|---|
| Avg Position Time (hrs) | 165.66 |
| Avg Trade Length | 6.90 |
| Last Trade Ago | 4308 |
Regression
| Alpha | 0 |
|---|---|
| Beta | -0.01 |
| Treynor Index | 0.09 |
Maximum Adverse Excursion (MAE)
| MAE:Equity, average, all trades | 0.02 |
|---|---|
| MAE:Equity, 95th Percentile Value for this strat | 0.04 |
| MAE:Equity, average, losing trades | 0.03 |
| 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 | 8.37 |
| MAE:PL (avg, all trades) | -0.54 |
| MAE:PL (avg, losing trades) | — |
| MAE:PL - Losing Trades - this strat Percentile of All Strats | 45.68 |
| MAE:PL - Winning Trades - this strat Percentile of All Strats | 37.33 |
| MAE:PL (avg, winning trades) | — |
| MAE:PL - worst single value for strategy | — |
| Avg(MAE) / Avg(PL) - Winning trades | 0.63 |
| Avg(MAE) / Avg(PL) - Losing trades | -1.35 |
| Hold-and-Hope Ratio | 0.12 |
RATIO STATISTICS
| Mean | 0.10 |
|---|---|
| SD | 0.21 |
| Sharpe ratio (Glass type estimate) | 0.46 |
| Sharpe ratio (Hedges UMVUE) | 0.45 |
| df | 39 |
| t | 0.84 |
| p | 0.20 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.62 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.53 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.63 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 1.53 |
| Sortino ratio | 0.71 |
| Upside Potential Ratio | 1.87 |
| Upside part of mean | 0.26 |
| Downside part of mean | -0.16 |
| Upside SD | 0.16 |
| Downside SD | 0.14 |
| N nonnegative terms | 21 |
| N negative terms | 19 |
| N of observations | 40 |
| Mean of predictor | 0.42 |
| Mean of criterion | 0.10 |
| SD of predictor | 0.23 |
| SD of criterion | 0.21 |
| Covariance | -0.00 |
| r | -0.02 |
| b (slope, estimate of beta) | -0.02 |
| a (intercept, estimate of alpha) | 0.11 |
| Mean Square Error | 0.05 |
| DF error | 38 |
| t(b) | -0.15 |
| p(b) | 0.56 |
| t(a) | 0.80 |
| p(a) | 0.21 |
| Lowerbound of 95% confidence interval for beta | -0.32 |
| Upperbound of 95% confidence interval for beta | 0.28 |
| Lowerbound of 95% confidence interval for alpha | -0.16 |
| Upperbound of 95% confidence interval for alpha | 0.38 |
| Treynor index (mean / b) | -4.50 |
| Jensen alpha (a) | 0.11 |
| Mean | 0.07 |
| SD | 0.22 |
| Sharpe ratio (Glass type estimate) | 0.35 |
| Sharpe ratio (Hedges UMVUE) | 0.34 |
| df | 39 |
| t | 0.63 |
| p | 0.26 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.73 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.42 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.74 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 1.42 |
| Sortino ratio | 0.50 |
| Upside Potential Ratio | 1.63 |
| Upside part of mean | 0.24 |
| Downside part of mean | -0.17 |
| Upside SD | 0.15 |
| Downside SD | 0.15 |
| N nonnegative terms | 21 |
| N negative terms | 19 |
| N of observations | 40 |
| Mean of predictor | 0.39 |
| Mean of criterion | 0.07 |
| SD of predictor | 0.22 |
| SD of criterion | 0.22 |
| Covariance | -0.00 |
| r | -0.02 |
| b (slope, estimate of beta) | -0.01 |
| a (intercept, estimate of alpha) | 0.08 |
| Mean Square Error | 0.05 |
| DF error | 38 |
| t(b) | -0.09 |
| p(b) | 0.54 |
| t(a) | 0.60 |
| p(a) | 0.28 |
| Lowerbound of 95% confidence interval for beta | -0.33 |
| Upperbound of 95% confidence interval for beta | 0.30 |
| Lowerbound of 95% confidence interval for alpha | -0.19 |
| Upperbound of 95% confidence interval for alpha | 0.35 |
| Treynor index (mean / b) | -5.09 |
| Jensen alpha (a) | 0.08 |
| VaR(95%) | 0.09 |
| Expected Shortfall on VaR | 0.11 |
| VaR(95%) | 0.03 |
| Expected Shortfall on VaR | 0.06 |
| Mean | 0.09 |
| SD | 0.17 |
| Sharpe ratio (Glass type estimate) | 0.49 |
| Sharpe ratio (Hedges UMVUE) | 0.49 |
| df | 894 |
| t | 0.91 |
| p | 0.18 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.57 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.56 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.57 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 1.55 |
| Sortino ratio | 0.82 |
| Upside Potential Ratio | 6.74 |
| Upside part of mean | 0.70 |
| Downside part of mean | -0.62 |
| Upside SD | 0.14 |
| Downside SD | 0.10 |
| N nonnegative terms | 452 |
| N negative terms | 443 |
| N of observations | 895 |
| Mean of predictor | 0.48 |
| Mean of criterion | 0.09 |
| SD of predictor | 0.29 |
| SD of criterion | 0.17 |
| Covariance | -0.00 |
| r | -0.02 |
| b (slope, estimate of beta) | -0.01 |
| a (intercept, estimate of alpha) | 0.09 |
| Mean Square Error | 0.03 |
| DF error | 893 |
| t(b) | -0.53 |
| p(b) | 0.70 |
| t(a) | 0.96 |
| p(a) | 0.17 |
| Lowerbound of 95% confidence interval for beta | -0.05 |
| Upperbound of 95% confidence interval for beta | 0.03 |
| Lowerbound of 95% confidence interval for alpha | -0.09 |
| Upperbound of 95% confidence interval for alpha | 0.27 |
| Treynor index (mean / b) | -8.05 |
| Jensen alpha (a) | 0.09 |
| Mean | 0.07 |
| SD | 0.17 |
| Sharpe ratio (Glass type estimate) | 0.41 |
| Sharpe ratio (Hedges UMVUE) | 0.41 |
| df | 894 |
| t | 0.76 |
| p | 0.22 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.65 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.47 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.65 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 1.47 |
| Sortino ratio | 0.67 |
| Upside Potential Ratio | 6.57 |
| Upside part of mean | 0.69 |
| Downside part of mean | -0.62 |
| Upside SD | 0.13 |
| Downside SD | 0.11 |
| N nonnegative terms | 452 |
| N negative terms | 443 |
| N of observations | 895 |
| Mean of predictor | 0.44 |
| Mean of criterion | 0.07 |
| SD of predictor | 0.29 |
| SD of criterion | 0.17 |
| Covariance | -0.00 |
| r | -0.02 |
| b (slope, estimate of beta) | -0.01 |
| a (intercept, estimate of alpha) | 0.08 |
| Mean Square Error | 0.03 |
| DF error | 893 |
| t(b) | -0.53 |
| p(b) | 0.70 |
| t(a) | 0.81 |
| p(a) | 0.21 |
| Lowerbound of 95% confidence interval for beta | -0.05 |
| Upperbound of 95% confidence interval for beta | 0.03 |
| Lowerbound of 95% confidence interval for alpha | -0.11 |
| Upperbound of 95% confidence interval for alpha | 0.26 |
| Treynor index (mean / b) | -6.78 |
| Jensen alpha (a) | 0.08 |
| VaR(95%) | 0.02 |
| Expected Shortfall on VaR | 0.02 |
| VaR(95%) | 0.01 |
| Expected Shortfall on VaR | 0.01 |
| Mean | -0.01 |
| SD | 0.03 |
| Sharpe ratio (Glass type estimate) | -0.44 |
| Sharpe ratio (Hedges UMVUE) | -0.44 |
| df | 130 |
| t | -0.31 |
| p | 0.51 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -3.21 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.33 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -3.21 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 2.33 |
| Sortino ratio | -0.68 |
| Upside Potential Ratio | 8.39 |
| Upside part of mean | 0.15 |
| Downside part of mean | -0.17 |
| Upside SD | 0.02 |
| Downside SD | 0.02 |
| N nonnegative terms | 63 |
| N negative terms | 68 |
| N of observations | 131 |
| Mean of predictor | 1.22 |
| Mean of criterion | -0.01 |
| SD of predictor | 0.44 |
| SD of criterion | 0.03 |
| Covariance | -0.01 |
| r | -0.50 |
| b (slope, estimate of beta) | -0.03 |
| a (intercept, estimate of alpha) | 0.03 |
| Mean Square Error | 0.00 |
| DF error | 129 |
| t(b) | -6.52 |
| p(b) | 0.80 |
| t(a) | 0.74 |
| p(a) | 0.46 |
| Lowerbound of 95% confidence interval for beta | -0.04 |
| Upperbound of 95% confidence interval for beta | -0.02 |
| Lowerbound of 95% confidence interval for alpha | -0.04 |
| Upperbound of 95% confidence interval for alpha | 0.10 |
| Treynor index (mean / b) | 0.40 |
| Jensen alpha (a) | 0.03 |
| Mean | -0.01 |
| SD | 0.03 |
| Sharpe ratio (Glass type estimate) | -0.46 |
| Sharpe ratio (Hedges UMVUE) | -0.46 |
| df | 130 |
| t | -0.32 |
| p | 0.51 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -3.23 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.32 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -3.23 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 2.32 |
| Sortino ratio | -0.70 |
| Upside Potential Ratio | 8.37 |
| Upside part of mean | 0.15 |
| Downside part of mean | -0.17 |
| Upside SD | 0.02 |
| Downside SD | 0.02 |
| N nonnegative terms | 63 |
| N negative terms | 68 |
| N of observations | 131 |
| Mean of predictor | 1.12 |
| Mean of criterion | -0.01 |
| SD of predictor | 0.45 |
| SD of criterion | 0.03 |
| Covariance | -0.01 |
| r | -0.50 |
| b (slope, estimate of beta) | -0.03 |
| a (intercept, estimate of alpha) | 0.02 |
| Mean Square Error | 0.00 |
| DF error | 129 |
| t(b) | -6.60 |
| p(b) | 0.81 |
| t(a) | 0.64 |
| p(a) | 0.46 |
| Lowerbound of 95% confidence interval for beta | -0.04 |
| VAR (95 Confidence Intrvl) | 0.02 |
| Upperbound of 95% confidence interval for beta | -0.02 |
| Lowerbound of 95% confidence interval for alpha | -0.05 |
| Upperbound of 95% confidence interval for alpha | 0.09 |
| Treynor index (mean / b) | 0.41 |
| Jensen alpha (a) | 0.02 |
| VaR(95%) | 0.00 |
| Expected Shortfall on VaR | 0.00 |
| VaR(95%) | 0.00 |
| Expected Shortfall on VaR | 0.00 |
ORDER STATISTICS
| Number of observations | 40 |
|---|---|
| Minimum | 0.80 |
| Quartile 1 | 1.00 |
| Median | 1.00 |
| Quartile 3 | 1.01 |
| Maximum | 1.15 |
| Mean of quarter 1 | 0.95 |
| Mean of quarter 2 | 1.00 |
| Mean of quarter 3 | 1.01 |
| Mean of quarter 4 | 1.08 |
| Inter Quartile Range | 0.01 |
| Number outliers low | 4 |
| Percentage of outliers low | 0.10 |
| Mean of outliers low | 0.89 |
| Number of outliers high | 9 |
| Percentage of outliers high | 0.23 |
| Mean of outliers high | 1.09 |
| Extreme Value Index (moments method) | 1.68 |
| VaR(95%) (moments method) | 0.04 |
| Expected Shortfall (moments method) | 0 |
| Extreme Value Index (regression method) | 1.80 |
| VaR(95%) (regression method) | 0.04 |
| Expected Shortfall (regression method) | 0 |
| Number of observations | 895 |
| Minimum | 0.95 |
| Quartile 1 | 1.00 |
| Median | 1.00 |
| Quartile 3 | 1.00 |
| Maximum | 1.07 |
| 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 | 104 |
| Percentage of outliers low | 0.12 |
| Mean of outliers low | 0.98 |
| Number of outliers high | 109 |
| Percentage of outliers high | 0.12 |
| Mean of outliers high | 1.02 |
| Extreme Value Index (moments method) | 0.93 |
| VaR(95%) (moments method) | 0.01 |
| Expected Shortfall (moments method) | 0.12 |
| Extreme Value Index (regression method) | 0.34 |
| VaR(95%) (regression method) | 0.01 |
| Expected Shortfall (regression method) | 0.01 |
| Number of observations | 131 |
| Minimum | 1.00 |
| Quartile 1 | 1.00 |
| Median | 1.00 |
| Quartile 3 | 1.00 |
| Maximum | 1.01 |
| Mean of quarter 1 | 1.00 |
| Mean of quarter 2 | 1.00 |
| Mean of quarter 3 | 1.00 |
| Mean of quarter 4 | 1.00 |
| Inter Quartile Range | 0.00 |
| Number outliers low | 3 |
| Percentage of outliers low | 0.02 |
| Mean of outliers low | 1.00 |
| Number of outliers high | 6 |
| Percentage of outliers high | 0.05 |
| Mean of outliers high | 1.00 |
| Extreme Value Index (moments method) | -1.26 |
| VaR(95%) (moments method) | 0.00 |
| Expected Shortfall (moments method) | 0.00 |
| Extreme Value Index (regression method) | -0.29 |
| VaR(95%) (regression method) | 0.00 |
| Expected Shortfall (regression method) | 0.00 |
DRAW DOWN STATISTICS
| Number of observations | 1 |
|---|---|
| Minimum | 0.22 |
| Quartile 1 | 0.22 |
| Median | 0.22 |
| Quartile 3 | 0.22 |
| Maximum | 0.22 |
| 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 | 21 |
| Minimum | 0.00 |
| Quartile 1 | 0.01 |
| Median | 0.02 |
| Quartile 3 | 0.05 |
| Maximum | 0.29 |
| Mean of quarter 1 | 0.00 |
| Mean of quarter 2 | 0.02 |
| Mean of quarter 3 | 0.03 |
| Mean of quarter 4 | 0.10 |
| 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 | 0.05 |
| Mean of outliers high | 0.29 |
| Extreme Value Index (moments method) | 0.73 |
| VaR(95%) (moments method) | 0.11 |
| Expected Shortfall (moments method) | 0.37 |
| Extreme Value Index (regression method) | 3.07 |
| VaR(95%) (regression method) | 0.09 |
| Expected Shortfall (regression method) | 0 |
| Number of observations | 8 |
| Minimum | 0.00 |
| Quartile 1 | 0.00 |
| Median | 0.00 |
| Quartile 3 | 0.01 |
| Maximum | 0.02 |
| Mean of quarter 1 | 0.00 |
| Mean of quarter 2 | 0.00 |
| Mean of quarter 3 | 0.00 |
| Mean of quarter 4 | 0.01 |
| Inter Quartile Range | 0.00 |
| Number outliers low | 0 |
| Percentage of outliers low | 0 |
| Mean of outliers low | 0 |
| Number of outliers high | 1 |
| Percentage of outliers high | 0.12 |
| Mean of outliers high | 0.02 |
| 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? | -415141408 |
| Max Equity Drawdown (num days) | 305 |
| Last 4 Months - Pcnt Negative | 0.5% |
COMBINED STATISTICS
| Annualized return (arithmetic extrapolation) | 0.12 |
|---|---|
| Compounded annual return (geometric extrapolation) | 0.11 |
| Calmar ratio (compounded annual return / max draw down) | 0.50 |
| Compounded annual return / average of 25% largest draw downs | 0 |
| Compounded annual return / Expected Shortfall lognormal | 0.94 |
| j156mfCOMBRisPar | 0 |
| j157mfCOMBRisPar | 0 |
| Annualized return (arithmetic extrapolation) | 0.12 |
| Compounded annual return (geometric extrapolation) | 0.10 |
| Calmar ratio (compounded annual return / max draw down) | 0.36 |
| Compounded annual return / average of 25% largest draw downs | 1.01 |
| Compounded annual return / Expected Shortfall lognormal | 4.87 |
| j313dfCOMBRisPar | 0 |
| j314dfCOMBRisPar | 0 |
| Annualized return (arithmetic extrapolation) | 0.02 |
| Compounded annual return (geometric extrapolation) | 0.02 |
| Calmar ratio (compounded annual return / max draw down) | 0.98 |
| Compounded annual return / average of 25% largest draw downs | 1.35 |
| Compounded annual return / Expected Shortfall lognormal | 4.16 |
Trading record
Placed 6 trades in real-life brokerage accounts.
| Symbol | Side | Qty | Opened | Closed | P/L |
|---|---|---|---|---|---|
| AUD/USD | short | 500 | Nov 19, 2014 | Nov 19, 2014 | ($425) |
| USD/NOK | long | 200 | Jul 15, 2014 | Jul 23, 2014 | ($131) |
| EUR/CAD | short | 140 | Jul 16, 2014 | Jul 23, 2014 | $1,136 |
| AUD/USD | long | 800 | Jul 18, 2014 | Jul 23, 2014 | $3,058 |
| AUD/USD | short | 200 | Jul 3, 2014 | Jul 18, 2014 | ($424) |
| USD/NOK | short | 100 | Jul 7, 2014 | Jul 15, 2014 | ($425) |
| EUR/CAD | short | 70 | Jul 2, 2014 | Jul 14, 2014 | ($625) |
| USD/NOK | long | 100 | Jun 20, 2014 | Jul 7, 2014 | $99 |
| AUD/USD | long | 200 | Jul 1, 2014 | Jul 3, 2014 | ($1,690) |
| EUR/CAD | long | 140 | Jun 19, 2014 | Jun 19, 2014 | ($244) |
| EUR/CAD | short | 140 | Jun 10, 2014 | Jun 18, 2014 | $186 |
| USD/NOK | short | 200 | Jun 6, 2014 | Jun 18, 2014 | ($1,401) |
| AUD/USD | long | 30 | Jun 11, 2014 | Jun 16, 2014 | ($78) |
| EUR/CAD | long | 70 | Jun 4, 2014 | Jun 10, 2014 | ($674) |
| USD/NOK | long | 200 | May 30, 2014 | Jun 6, 2014 | ($580) |
| EUR/CAD | short | 70 | May 15, 2014 | May 30, 2014 | $247 |
| USD/NOK | short | 100 | May 15, 2014 | May 23, 2014 | ($417) |
| AUD/USD | short | 100 | May 15, 2014 | May 20, 2014 | $621 |
| AUD/USD | long | 100 | May 6, 2014 | May 15, 2014 | $392 |
| USD/NOK | short | 100 | May 7, 2014 | May 15, 2014 | ($201) |
| USD/NOK | short | 100 | Apr 30, 2014 | May 2, 2014 | $43 |
| USD/NOK | long | 100 | Apr 17, 2014 | Apr 30, 2014 | $26 |
| EUR/CAD | long | 140 | Apr 10, 2014 | Apr 29, 2014 | $1,101 |
| USD/NOK | short | 100 | Mar 27, 2014 | Apr 16, 2014 | $582 |
| AUD/USD | long | 100 | Apr 8, 2014 | Apr 15, 2014 | $668 |
| EUR/CAD | short | 70 | Apr 4, 2014 | Apr 10, 2014 | ($547) |
| EUR/JPY | short | 500 | Mar 31, 2014 | Mar 31, 2014 | ($5) |
| AUD/USD | long | 100 | Mar 21, 2014 | Mar 31, 2014 | $1,108 |
| EUR/CAD | short | 140 | Mar 21, 2014 | Mar 27, 2014 | $1,784 |
| EUR/JPY | long | 500 | Mar 27, 2014 | Mar 27, 2014 | ($5) |
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.