Blizzard FX
- hypothetical · Annual Return (Compounded)
- -6.6%
- Max Drawdown
- 100.0%
- Trades
- 610
- Win Trades
- 97.9%
- Profit Factor
- 0.50
- Win Months
- 44.8%
About this strategy
Blizzard FX trades the GBP/USD and the GBP/JPY based on price action and technical indicators. It will trade in all of the markets
Blizzard FX generates trades from an original Expert Advisor (EA), that is based on several years of research and study. I created and wrote the programming for the EA from scratch. The current version is the 5th generation form the original premise. The EA uses the stochastic indicator as the primary filter for entry points. However, other factors, such as price action, the average true range and the relative strength index contribute to the entry trigger.
Even though the EA pinpoints the entry points, I constantly monitor the market over a broad range of currency pairs to look for abnormalities and news events.
Exit points are based on a predetermined profit target for each trade set. Blizzard FX may add to positions for a total of 16 unit lots per trade set, per currency. When the profit target is reached, the trade set is closed by the EA. Under certain conditions the profit target will be ignored and the trade will be allowed to run before being closed by the EA.
Blizzard FX is similar to my other system Hudson Bay and runs on the same EA only with different parameters. Since it trades two currencies, it will take more trades per week. The GBP/USD works off of the 30 minute time frame, the GBP/JPYworks off of the 5 minute time frame. The two currency pairs are are related and subject to the influences and trends of the pound.
Blizzard FX generates trades from an original Expert Advisor (EA), that is based on several years of research and study. I created and wrote the programming for the EA from scratch. The current version is the 5th generation form the original premise. The EA uses the stochastic indicator as the primary filter for entry points. However, other factors, such as price action, the average true range and the relative strength index contribute to the entry trigger.
Even though the EA pinpoints the entry points, I constantly monitor the market over a broad range of currency pairs to look for abnormalities and news events.
Exit points are based on a predetermined profit target for each trade set. Blizzard FX may add to positions for a total of 16 unit lots per trade set, per currency. When the profit target is reached, the trade set is closed by the EA. Under certain conditions the profit target will be ignored and the trade will be allowed to run before being closed by the EA.
Blizzard FX is similar to my other system Hudson Bay and runs on the same EA only with different parameters. Since it trades two currencies, it will take more trades per week. The GBP/USD works off of the 30 minute time frame, the GBP/JPYworks off of the 5 minute time frame. The two currency pairs are are related and subject to the influences and trends of the pound.
Hypothetical Monthly Returns (includes fees/commissions)
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | YTD |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011 | 1.5 | 3.9 | -1.1 | 7.8 | -1.4 | 3.9 | 4.0 | 1.0 | 21.0 | ||||
| 2012 | -2.5 | -5.3 | -2.1 | -5.5 | 20.5 | 0.6 | 0.7 | -0.5 | -0.7 | -7.4 | -6.7 | -18.3 | -27.3 |
| 2013 | -8.5 | 16.4 | 0.0 | -16.0 | -14.4 | -27.8 | 12.9 | -46.0 | -39.4 | -80.3 | |||
| 2014 | 55.7 | -33.5 | 2.7 | -35.5 | 48.5 | -70.6 | 130.1 | 23.7 | -2.1 | 5.3 | -17.1 | 7.7 | -21.4 |
| 2015 | 150.4 | -45.6 | 97.3 | -29.0 | -54.8 | -60.8 | -26.1 | 357.9 | 67.7 | -39.0 | 44.3 | 40.3 | 137.1 |
| 2016 | 63.1 | 38.6 | 0.9 | -2.6 | -8.2 | 91.8 | -1.4 | -0.5 | 13.0 | 11.2 | -23.6 | 3.3 | 280.5 |
| 2017 | -2.0 | 6.8 | 0.1 | -10.9 | 3.2 | -5.2 | -2.6 | 7.4 | -16.4 | 0.3 | 1.3 | -3.6 | -21.8 |
| 2018 | -11.5 | 9.5 | -0.9 | 5.1 | 9.9 | 1.4 | 2.5 | 4.8 | -7.8 | 9.2 | -1.2 | 8.7 | 30.5 |
| 2019 | -10.6 | -5.9 | 4.2 | 2.7 | -1.5 | 0.0 | 12.5 | -4.6 | -15.6 | 2.8 | -10.5 | -10.7 | |
| 2020 | 1.7 | 3.2 | 18.0 | 2.1 | 5.1 | -6.5 | -9.3 | -6.4 | 11.1 | 0.0 | -7.6 | -5.8 | 2.1 |
| 2021 | -6.1 | -17.4 | 3.5 | 0.3 | -14.5 | 12.1 | 0.5 | 3.7 | -0.3 | -6.7 | 13.8 | -8.8 | -22.3 |
| 2022 | 3.5 | 0.7 | -6.4 | 5.4 | 1.3 | 0.7 | 4.1 | 9.4 | 17.0 | -16.6 | -11.7 | 9.8 | 13.0 |
| 2023 | -2.4 | -0.7 | -3.6 | -7.4 | -7.4 | -18.6 | -2.9 | -2.0 | 17.0 | 3.2 | -20.5 | 12.8 | -32.8 |
| 2024 | -13.0 | -5.0 | 2.1 | -5.5 | -15.3 | -1.0 | 13.7 | -7.6 | -16.1 | 20.1 | -0.8 | 14.5 | -19.6 |
| 2025 | 2.7 | 4.1 | -15.8 | -3.7 | -16.0 | -19.9 | 17.3 | -5.3 | 0.0 | 0.0 | 0.0 | 0.0 | -35.2 |
| 2026 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
Statistics
Overview
| Strategy began | 5/3/2011 |
|---|---|
| Suggested Minimum Capital | $99,992 |
| Age | 187 months |
| What it trades | Forex |
| # Trades | 610 |
| # Profitable | 597 |
| % Profitable | 97.9% |
| Avg trade duration | 16.2 days |
| Max peak-to-valley drawdown | 100.0% |
| drawdown period | June 19, 2015 - June 21, 2015 |
| Annual Return (Compounded) | -6.6% |
| Avg win | $91 |
| Avg loss | $8,889 |
Ratios
| W:L ratio | 0.47 |
|---|---|
| Sharpe Ratio | -0.06 |
| Sortino Ratio | -0.07 |
| Calmar Ratio | -0.21 |
CORRELATION STATISTICS
| Correlation to SP500 | -0.10 |
|---|---|
| Return Percent SP500 (cumu) during strategy life | 456.7% |
| Return of Strat Pcnt - Return of SP500 Pcnt (cumu) | -529.9% |
Return Statistics
| Ann Return (w trading costs) | -6.6% |
|---|---|
| Return Pcnt (Compound or Annual, age-based, NFA compliant) | -0.1% |
| Return Pcnt Since TOS Status | 0.0% |
| Ann Return (Compnd, No Fees) | -6.0% |
Slump
| Current Slump as Pcnt Equity | 350.0% |
|---|---|
| Current Slump, time of slump as pcnt of strategy life | 0.5% |
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 | 100.0% |
| Chance of 50% account loss | 100.0% |
| Chance of 60% account loss (Monte Carlo) | 100.0% |
| Chance of 70% account loss (Monte Carlo) | 100.0% |
| Chance of 80% account loss (Monte Carlo) | 100.0% |
| Chance of 90% account loss (Monte Carlo) | 100.0% |
| Chance of 100% account loss (Monte Carlo) | 100.0% |
Automation
| Percentage Signals Automated | 50.5% |
|---|
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 | $8,889 |
|---|---|
| Avg Win | $91 |
| # Winners | 597 |
| Sum Trade PL (losers) | $115,552 |
| Sum Trade PL (winners) | $54,180 |
| Num Months Winners | 82 |
| # Losers | 13 |
| % Winners | 97.9% |
Dividends
| Dividends Received in Model Acct | 0 |
|---|
Age
| Num Months filled monthly returns table | 185 |
|---|
Frequency
| Avg Position Time (mins) | 23379.08 |
|---|---|
| Avg Position Time (hrs) | 389.65 |
| Avg Trade Length | 16.20 |
| Last Trade Ago | 378 |
Regression
| Alpha | 0 |
|---|---|
| Beta | -1.25 |
| Treynor Index | 0 |
Maximum Adverse Excursion (MAE)
| MAE:Equity, average, all trades | 0 |
|---|---|
| MAE:Equity, 95th Percentile Value for this strat | 0 |
| MAE:Equity, average, losing trades | 0.03 |
| 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 | -1.35 |
| MAE:PL (avg, all trades) | 2.59 |
| MAE:PL (avg, losing trades) | — |
| MAE:PL - Losing Trades - this strat Percentile of All Strats | 83.32 |
| MAE:PL - Winning Trades - this strat Percentile of All Strats | 50.36 |
| MAE:PL (avg, winning trades) | — |
| MAE:PL - worst single value for strategy | — |
| Avg(MAE) / Avg(PL) - Winning trades | 1.56 |
| Avg(MAE) / Avg(PL) - Losing trades | -0.17 |
| Hold-and-Hope Ratio | -0.74 |
RATIO STATISTICS
| Mean | 0.84 |
|---|---|
| SD | 1.97 |
| Sharpe ratio (Glass type estimate) | 0.43 |
| Sharpe ratio (Hedges UMVUE) | 0.42 |
| df | 48 |
| t | 0.86 |
| p | 0.20 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.55 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.40 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.55 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 1.39 |
| Sortino ratio | 1.24 |
| Upside Potential Ratio | 3.10 |
| Upside part of mean | 2.11 |
| Downside part of mean | -1.27 |
| Upside SD | 1.84 |
| Downside SD | 0.68 |
| N nonnegative terms | 22 |
| N negative terms | 27 |
| N of observations | 49 |
| Mean of predictor | 0.40 |
| Mean of criterion | 0.84 |
| SD of predictor | 0.27 |
| SD of criterion | 1.97 |
| Covariance | -0.16 |
| r | -0.30 |
| b (slope, estimate of beta) | -2.18 |
| a (intercept, estimate of alpha) | 1.71 |
| Mean Square Error | 3.60 |
| DF error | 47 |
| t(b) | -2.19 |
| p(b) | 0.98 |
| t(a) | 1.67 |
| p(a) | 0.05 |
| Lowerbound of 95% confidence interval for beta | -4.19 |
| Upperbound of 95% confidence interval for beta | -0.17 |
| Lowerbound of 95% confidence interval for alpha | -0.34 |
| Upperbound of 95% confidence interval for alpha | 3.75 |
| Treynor index (mean / b) | -0.39 |
| Jensen alpha (a) | 1.71 |
| Mean | -0.26 |
| SD | 1.38 |
| Sharpe ratio (Glass type estimate) | -0.19 |
| Sharpe ratio (Hedges UMVUE) | -0.18 |
| df | 48 |
| t | -0.38 |
| p | 0.65 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.16 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.78 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -1.16 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.79 |
| Sortino ratio | -0.28 |
| Upside Potential Ratio | 1.46 |
| Upside part of mean | 1.35 |
| Downside part of mean | -1.61 |
| Upside SD | 1.01 |
| Downside SD | 0.93 |
| N nonnegative terms | 22 |
| N negative terms | 27 |
| N of observations | 49 |
| Mean of predictor | 0.36 |
| Mean of criterion | -0.26 |
| SD of predictor | 0.26 |
| SD of criterion | 1.38 |
| Covariance | -0.13 |
| r | -0.37 |
| b (slope, estimate of beta) | -1.99 |
| a (intercept, estimate of alpha) | 0.45 |
| Mean Square Error | 1.69 |
| DF error | 47 |
| t(b) | -2.73 |
| p(b) | 1.00 |
| t(a) | 0.65 |
| p(a) | 0.26 |
| Lowerbound of 95% confidence interval for beta | -3.46 |
| Upperbound of 95% confidence interval for beta | -0.52 |
| Lowerbound of 95% confidence interval for alpha | -0.95 |
| Upperbound of 95% confidence interval for alpha | 1.84 |
| Treynor index (mean / b) | 0.13 |
| Jensen alpha (a) | 0.45 |
| VaR(95%) | 0.49 |
| Expected Shortfall on VaR | 0.57 |
| VaR(95%) | 0.26 |
| Expected Shortfall on VaR | 0.48 |
| Mean | 1.83 |
| SD | 2.22 |
| Sharpe ratio (Glass type estimate) | 0.82 |
| Sharpe ratio (Hedges UMVUE) | 0.82 |
| df | 1080 |
| t | 1.68 |
| p | 0.47 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.14 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.79 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.14 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 1.79 |
| Sortino ratio | 1.69 |
| Upside Potential Ratio | 7.46 |
| Upside part of mean | 8.05 |
| Downside part of mean | -6.22 |
| Upside SD | 1.94 |
| Downside SD | 1.08 |
| N nonnegative terms | 526 |
| N negative terms | 555 |
| N of observations | 1081 |
| Mean of predictor | 0.44 |
| Mean of criterion | 1.83 |
| SD of predictor | 0.30 |
| SD of criterion | 2.22 |
| Covariance | -0.13 |
| r | -0.19 |
| b (slope, estimate of beta) | -1.38 |
| a (intercept, estimate of alpha) | 2.44 |
| Mean Square Error | 4.75 |
| DF error | 1079 |
| t(b) | -6.32 |
| p(b) | 0.62 |
| t(a) | 2.27 |
| p(a) | 0.46 |
| Lowerbound of 95% confidence interval for beta | -1.81 |
| Upperbound of 95% confidence interval for beta | -0.95 |
| Lowerbound of 95% confidence interval for alpha | 0.33 |
| Upperbound of 95% confidence interval for alpha | 4.55 |
| Treynor index (mean / b) | -1.32 |
| Jensen alpha (a) | 2.44 |
| Mean | -0.26 |
| SD | 2.11 |
| Sharpe ratio (Glass type estimate) | -0.12 |
| Sharpe ratio (Hedges UMVUE) | -0.12 |
| df | 1080 |
| t | -0.25 |
| p | 0.50 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.09 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.84 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -1.09 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.84 |
| Sortino ratio | -0.16 |
| Upside Potential Ratio | 4.30 |
| Upside part of mean | 6.90 |
| Downside part of mean | -7.16 |
| Upside SD | 1.36 |
| Downside SD | 1.61 |
| N nonnegative terms | 526 |
| N negative terms | 555 |
| N of observations | 1081 |
| Mean of predictor | 0.40 |
| Mean of criterion | -0.26 |
| SD of predictor | 0.31 |
| SD of criterion | 2.11 |
| Covariance | -0.12 |
| r | -0.18 |
| b (slope, estimate of beta) | -1.26 |
| a (intercept, estimate of alpha) | 0.24 |
| Mean Square Error | 4.29 |
| DF error | 1079 |
| t(b) | -6.10 |
| p(b) | 0.62 |
| t(a) | 0.24 |
| p(a) | 0.50 |
| Lowerbound of 95% confidence interval for beta | -1.66 |
| Upperbound of 95% confidence interval for beta | -0.85 |
| Lowerbound of 95% confidence interval for alpha | -1.77 |
| Upperbound of 95% confidence interval for alpha | 2.25 |
| Treynor index (mean / b) | 0.20 |
| Jensen alpha (a) | 0.24 |
| VaR(95%) | 0.19 |
| Expected Shortfall on VaR | 0.24 |
| VaR(95%) | 0.05 |
| Expected Shortfall on VaR | 0.12 |
| Mean | -0.99 |
| SD | 1.09 |
| Sharpe ratio (Glass type estimate) | -0.91 |
| Sharpe ratio (Hedges UMVUE) | -0.91 |
| df | 130 |
| t | -0.64 |
| p | 0.53 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -3.68 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.86 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -3.68 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 1.87 |
| Sortino ratio | -1.29 |
| Upside Potential Ratio | 6.78 |
| Upside part of mean | 5.21 |
| Downside part of mean | -6.21 |
| Upside SD | 0.77 |
| Downside SD | 0.77 |
| N nonnegative terms | 50 |
| N negative terms | 81 |
| N of observations | 131 |
| Mean of predictor | 1.19 |
| Mean of criterion | -0.99 |
| SD of predictor | 0.46 |
| SD of criterion | 1.09 |
| Covariance | -0.16 |
| r | -0.33 |
| b (slope, estimate of beta) | -0.78 |
| a (intercept, estimate of alpha) | -0.06 |
| Mean Square Error | 1.07 |
| DF error | 129 |
| t(b) | -3.94 |
| p(b) | 0.70 |
| t(a) | -0.04 |
| p(a) | 0.50 |
| Lowerbound of 95% confidence interval for beta | -1.18 |
| Upperbound of 95% confidence interval for beta | -0.39 |
| Lowerbound of 95% confidence interval for alpha | -2.99 |
| Upperbound of 95% confidence interval for alpha | 2.86 |
| Treynor index (mean / b) | 1.27 |
| Jensen alpha (a) | -0.06 |
| Mean | -1.59 |
| SD | 1.10 |
| Sharpe ratio (Glass type estimate) | -1.45 |
| Sharpe ratio (Hedges UMVUE) | -1.44 |
| df | 130 |
| t | -1.03 |
| p | 0.54 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -4.22 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.33 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -4.22 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 1.34 |
| Sortino ratio | -1.91 |
| Upside Potential Ratio | 5.96 |
| Upside part of mean | 4.94 |
| Downside part of mean | -6.53 |
| Upside SD | 0.72 |
| Downside SD | 0.83 |
| N nonnegative terms | 50 |
| N negative terms | 81 |
| N of observations | 131 |
| Mean of predictor | 1.08 |
| Mean of criterion | -1.59 |
| SD of predictor | 0.46 |
| SD of criterion | 1.10 |
| Covariance | -0.16 |
| r | -0.32 |
| b (slope, estimate of beta) | -0.77 |
| a (intercept, estimate of alpha) | -0.75 |
| Mean Square Error | 1.08 |
| DF error | 129 |
| t(b) | -3.88 |
| p(b) | 0.70 |
| t(a) | -0.51 |
| p(a) | 0.53 |
| Lowerbound of 95% confidence interval for beta | -1.17 |
| VAR (95 Confidence Intrvl) | 0.19 |
| Upperbound of 95% confidence interval for beta | -0.38 |
| Lowerbound of 95% confidence interval for alpha | -3.69 |
| Upperbound of 95% confidence interval for alpha | 2.19 |
| Treynor index (mean / b) | 2.05 |
| Jensen alpha (a) | -0.75 |
| VaR(95%) | 0.11 |
| Expected Shortfall on VaR | 0.14 |
| VaR(95%) | 0.06 |
| Expected Shortfall on VaR | 0.12 |
ORDER STATISTICS
| Number of observations | 49 |
|---|---|
| Minimum | 0.38 |
| Quartile 1 | 0.87 |
| Median | 0.99 |
| Quartile 3 | 1.07 |
| Maximum | 3.85 |
| Mean of quarter 1 | 0.66 |
| Mean of quarter 2 | 0.94 |
| Mean of quarter 3 | 1.02 |
| Mean of quarter 4 | 1.70 |
| Inter Quartile Range | 0.21 |
| Number outliers low | 4 |
| Percentage of outliers low | 0.08 |
| Mean of outliers low | 0.46 |
| Number of outliers high | 5 |
| Percentage of outliers high | 0.10 |
| Mean of outliers high | 2.43 |
| Extreme Value Index (moments method) | -0.56 |
| VaR(95%) (moments method) | 0.33 |
| Expected Shortfall (moments method) | 0.38 |
| Extreme Value Index (regression method) | -0.55 |
| VaR(95%) (regression method) | 0.38 |
| Expected Shortfall (regression method) | 0.44 |
| Number of observations | 1081 |
| Minimum | 0.11 |
| Quartile 1 | 0.98 |
| Median | 1 |
| Quartile 3 | 1.01 |
| Maximum | 3.30 |
| Mean of quarter 1 | 0.91 |
| Mean of quarter 2 | 0.99 |
| Mean of quarter 3 | 1.00 |
| Mean of quarter 4 | 1.12 |
| Inter Quartile Range | 0.03 |
| Number outliers low | 111 |
| Percentage of outliers low | 0.10 |
| Mean of outliers low | 0.84 |
| Number of outliers high | 126 |
| Percentage of outliers high | 0.12 |
| Mean of outliers high | 1.22 |
| Extreme Value Index (moments method) | 0.61 |
| VaR(95%) (moments method) | 0.08 |
| Expected Shortfall (moments method) | 0.24 |
| Extreme Value Index (regression method) | 0.43 |
| VaR(95%) (regression method) | 0.08 |
| Expected Shortfall (regression method) | 0.17 |
| Number of observations | 131 |
| Minimum | 0.74 |
| Quartile 1 | 0.97 |
| Median | 1 |
| Quartile 3 | 1.02 |
| Maximum | 1.26 |
| Mean of quarter 1 | 0.92 |
| Mean of quarter 2 | 0.99 |
| Mean of quarter 3 | 1.00 |
| Mean of quarter 4 | 1.08 |
| Inter Quartile Range | 0.05 |
| Number outliers low | 8 |
| Percentage of outliers low | 0.06 |
| Mean of outliers low | 0.86 |
| Number of outliers high | 9 |
| Percentage of outliers high | 0.07 |
| Mean of outliers high | 1.15 |
| Extreme Value Index (moments method) | 0.03 |
| VaR(95%) (moments method) | 0.08 |
| Expected Shortfall (moments method) | 0.10 |
| Extreme Value Index (regression method) | -0.29 |
| VaR(95%) (regression method) | 0.08 |
| Expected Shortfall (regression method) | 0.10 |
DRAW DOWN STATISTICS
| Number of observations | 5 |
|---|---|
| Minimum | 0.00 |
| Quartile 1 | 0.04 |
| Median | 0.12 |
| Quartile 3 | 0.76 |
| Maximum | 0.95 |
| Mean of quarter 1 | 0.02 |
| Mean of quarter 2 | 0.12 |
| Mean of quarter 3 | 0.76 |
| Mean of quarter 4 | 0.95 |
| Inter Quartile Range | 0.72 |
| 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 | 37 |
| Minimum | 0.00 |
| Quartile 1 | 0.00 |
| Median | 0.01 |
| Quartile 3 | 0.02 |
| Maximum | 0.99 |
| Mean of quarter 1 | 0.00 |
| Mean of quarter 2 | 0.00 |
| Mean of quarter 3 | 0.01 |
| Mean of quarter 4 | 0.27 |
| Inter Quartile Range | 0.02 |
| Number outliers low | 0 |
| Percentage of outliers low | 0 |
| Mean of outliers low | 0 |
| Number of outliers high | 6 |
| Percentage of outliers high | 0.16 |
| Mean of outliers high | 0.38 |
| Extreme Value Index (moments method) | 1.14 |
| VaR(95%) (moments method) | 0.20 |
| Expected Shortfall (moments method) | 0 |
| Extreme Value Index (regression method) | 1.17 |
| VaR(95%) (regression method) | 0.17 |
| Expected Shortfall (regression method) | 0 |
| Number of observations | 6 |
| Minimum | 0.03 |
| Quartile 1 | 0.04 |
| Median | 0.04 |
| Quartile 3 | 0.08 |
| Maximum | 0.72 |
| Mean of quarter 1 | 0.03 |
| Mean of quarter 2 | 0.04 |
| Mean of quarter 3 | 0.04 |
| Mean of quarter 4 | 0.40 |
| 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 | 0.17 |
| Mean of outliers high | 0.72 |
| 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? | -399223040 |
| Max Equity Drawdown (num days) | 2 |
| Last 4 Months - Pcnt Negative | 0.0% |
COMBINED STATISTICS
| Annualized return (arithmetic extrapolation) | -0.15 |
|---|---|
| Compounded annual return (geometric extrapolation) | -0.21 |
| Calmar ratio (compounded annual return / max draw down) | -0.22 |
| Compounded annual return / average of 25% largest draw downs | -0.22 |
| Compounded annual return / Expected Shortfall lognormal | -0.37 |
| j156mfCOMBRisPar | 0 |
| j157mfCOMBRisPar | 0 |
| Annualized return (arithmetic extrapolation) | -0.15 |
| Compounded annual return (geometric extrapolation) | -0.21 |
| Calmar ratio (compounded annual return / max draw down) | -0.21 |
| Compounded annual return / average of 25% largest draw downs | -0.77 |
| Compounded annual return / Expected Shortfall lognormal | -0.87 |
| j313dfCOMBRisPar | 0 |
| j314dfCOMBRisPar | 0 |
| Annualized return (arithmetic extrapolation) | -1.08 |
| Compounded annual return (geometric extrapolation) | -0.79 |
| Calmar ratio (compounded annual return / max draw down) | -1.10 |
| Compounded annual return / average of 25% largest draw downs | -1.96 |
| Compounded annual return / Expected Shortfall lognormal | -5.84 |
Trading record
Placed 2279 trades in real-life brokerage accounts.
| Symbol | Side | Qty | Opened | Closed | P/L |
|---|---|---|---|---|---|
| GBP/USD | short | 100 | Sep 5, 2012 | Aug 21, 2025 | $23,806 |
| GBP/JPY | short | 290 | Jul 18, 2012 | Aug 21, 2025 | ($1,085) |
| GBP/USD | short | 10 | Sep 3, 2012 | Sep 4, 2012 | $12 |
| GBP/USD | long | 20 | Aug 1, 2012 | Aug 27, 2012 | $181 |
| GBP/USD | short | 10 | Jul 18, 2012 | Aug 1, 2012 | $13 |
| GBP/JPY | short | 10 | Jul 17, 2012 | Jul 18, 2012 | $0 |
| GBP/USD | short | 20 | Jul 17, 2012 | Jul 18, 2012 | $18 |
| GBP/JPY | short | 10 | Jul 16, 2012 | Jul 17, 2012 | $0 |
| GBP/USD | short | 20 | Jul 16, 2012 | Jul 17, 2012 | $39 |
| GBP/JPY | long | 20 | Jul 15, 2012 | Jul 16, 2012 | $0 |
| GBP/USD | short | 10 | Jul 13, 2012 | Jul 16, 2012 | $13 |
| GBP/JPY | short | 10 | Jul 13, 2012 | Jul 15, 2012 | $0 |
| GBP/JPY | long | 20 | Jul 12, 2012 | Jul 13, 2012 | $0 |
| GBP/USD | long | 10 | Jul 12, 2012 | Jul 13, 2012 | $14 |
| GBP/USD | long | 10 | Jul 11, 2012 | Jul 11, 2012 | $11 |
| GBP/JPY | short | 10 | Jul 11, 2012 | Jul 11, 2012 | $0 |
| GBP/USD | short | 20 | Jul 10, 2012 | Jul 11, 2012 | $28 |
| GBP/USD | long | 10 | Jul 9, 2012 | Jul 10, 2012 | $20 |
| GBP/USD | short | 20 | Jul 9, 2012 | Jul 9, 2012 | $24 |
| GBP/USD | long | 10 | Jul 6, 2012 | Jul 9, 2012 | $15 |
| GBP/USD | short | 10 | Jul 6, 2012 | Jul 6, 2012 | $17 |
| GBP/USD | short | 40 | Jun 28, 2012 | Jul 4, 2012 | $112 |
| GBP/JPY | long | 10 | Jul 2, 2012 | Jul 2, 2012 | $0 |
| GBP/JPY | long | 20 | Jul 1, 2012 | Jul 2, 2012 | $0 |
| GBP/JPY | short | 10 | Jun 29, 2012 | Jun 29, 2012 | $0 |
| GBP/JPY | long | 10 | Jun 29, 2012 | Jun 29, 2012 | $0 |
| GBP/JPY | short | 10 | Jun 29, 2012 | Jun 29, 2012 | $0 |
| GBP/JPY | long | 60 | Jun 27, 2012 | Jun 28, 2012 | $1 |
| GBP/USD | long | 20 | Jun 28, 2012 | Jun 28, 2012 | $25 |
| GBP/USD | long | 10 | Jun 27, 2012 | Jun 27, 2012 | $12 |
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.