MyNexTrade.com
- hypothetical · Annual Return (Compounded)
- 0.0%
- Max Drawdown
- 100.0%
- Trades
- 63
- Win Trades
- 84.1%
- Profit Factor
- 0.80
- Win Months
- 0.9%
About this strategy
I look for markets when there are extremes which investor are over-optimistic or over-pessimistic on a certain investment product, then I will enter the market the opposite way when the timing is right.
I am a professional trader who make a living with my trades. I am also a position trader who usually trade 2-3 times a month, each time holding for a week to a month or so depending on the situation. My trades are usually on forex.
I will be trading here with lots of 10s for forex. A position with 20 lot is a normal position; a 60+ lot position is a sign of confidence; maximum cumulated lots for each position shall be 100 lots. Subscribers shall be alerted accordingly for my confidence level of the positions I took.
For futures, the logic will be the same, just that everything is 10 times smaller; so the maximum lots I will take in any futures position is 10 lots.
p.s. some traders questioned the duration of such high growth period of how long can it be sustained; however, big return is not always accompanied by big risk, and by trading with the above mentioned way, we are often entering the market with little risk while having big potentials. And this is how MyNexTrade.com differentiates itself from other trading systems.
p.p.s to all auto-traders: please do set your % scale of trading according to current equity of MyNexTrade system. For example, if you have a 10,000 usd fund, you need to scale the trades into a 10% scale if the MyNexTrade system have a 100,000 usd equity for that moment. i.e. when the MyNexTrade system is giving a 60 lots forex signal, you should be only trading at 6 lots.
p.p.p.s please do message me if you would like to auto-trade both forex and futures while you do not have an IB account.
I am a professional trader who make a living with my trades. I am also a position trader who usually trade 2-3 times a month, each time holding for a week to a month or so depending on the situation. My trades are usually on forex.
I will be trading here with lots of 10s for forex. A position with 20 lot is a normal position; a 60+ lot position is a sign of confidence; maximum cumulated lots for each position shall be 100 lots. Subscribers shall be alerted accordingly for my confidence level of the positions I took.
For futures, the logic will be the same, just that everything is 10 times smaller; so the maximum lots I will take in any futures position is 10 lots.
p.s. some traders questioned the duration of such high growth period of how long can it be sustained; however, big return is not always accompanied by big risk, and by trading with the above mentioned way, we are often entering the market with little risk while having big potentials. And this is how MyNexTrade.com differentiates itself from other trading systems.
p.p.s to all auto-traders: please do set your % scale of trading according to current equity of MyNexTrade system. For example, if you have a 10,000 usd fund, you need to scale the trades into a 10% scale if the MyNexTrade system have a 100,000 usd equity for that moment. i.e. when the MyNexTrade system is giving a 60 lots forex signal, you should be only trading at 6 lots.
p.p.p.s please do message me if you would like to auto-trade both forex and futures while you do not have an IB account.
Hypothetical Monthly Returns (includes fees/commissions)
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | YTD |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2008 | 414.7 | 82.9 | -35.4 | -123.1 | -0.9 | -0.9 | -0.6 | -1.4 | -241.8 | ||||
| 2009 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -0.1 | 0.0 | 0.0 | |
| 2010 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -0.1 | -0.1 | -0.1 | -0.0 | 0.0 | 0.0 | -0.0 | |
| 2011 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| 2012 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| 2013 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| 2014 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| 2015 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| 2016 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| 2017 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| 2018 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| 2019 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| 2020 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| 2021 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| 2022 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| 2023 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| 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 | |
| 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 | |
| 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 | 5/6/2008 |
|---|---|
| Suggested Minimum Capital | $10,000 |
| Age | 223 months |
| What it trades | Futures, Forex |
| # Trades | 63 |
| # Profitable | 53 |
| % Profitable | 84.1% |
| Avg trade duration | 2.8 days |
| Max peak-to-valley drawdown | 100.0% |
| drawdown period | Aug 08, 2008 - Aug 11, 2008 |
| Annual Return (Compounded) | 0.0% |
| Avg win | $2,849 |
| Avg loss | $18,862 |
Ratios
| W:L ratio | 0.80 |
|---|---|
| Sharpe Ratio | -0.37 |
| Sortino Ratio | -0.42 |
| Calmar Ratio | -0.87 |
CORRELATION STATISTICS
| Correlation to SP500 | -0.25 |
|---|---|
| Return Percent SP500 (cumu) during strategy life | 438.5% |
| Return of Strat Pcnt - Return of SP500 Pcnt (cumu) | -681.7% |
Return Statistics
| Ann Return (w trading costs) | 0.0% |
|---|---|
| Return Pcnt (Compound or Annual, age-based, NFA compliant) | 0.0% |
| Return Pcnt Since TOS Status | 0.0% |
| Ann Return (Compnd, No Fees) | 0.0% |
Slump
| Current Slump as Pcnt Equity | — |
|---|---|
| Current Slump, time of slump as pcnt of strategy life | 1.0% |
Instruments
| Percent Trades Forex | 0.5% |
|---|---|
| Percent Trades Futures | 0.5% |
| 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 | 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 | $18,862 |
|---|---|
| Avg Win | $2,849 |
| # Winners | 53 |
| Sum Trade PL (losers) | $188,621 |
| Sum Trade PL (winners) | $150,995 |
| Num Months Winners | 2 |
| # Losers | 10 |
| % Winners | 84.1% |
Dividends
| Dividends Received in Model Acct | 0 |
|---|
Age
| Num Months filled monthly returns table | 4 |
|---|
Frequency
| Avg Position Time (mins) | 3981.03 |
|---|---|
| Avg Position Time (hrs) | 66.35 |
| Avg Trade Length | 2.80 |
| Last Trade Ago | 6607 |
Regression
| Alpha | 0 |
|---|---|
| Beta | -3.98 |
| Treynor Index | 0 |
Maximum Adverse Excursion (MAE)
| MAE:Equity, average, all trades | 0.16 |
|---|---|
| MAE:Equity, 95th Percentile Value for this strat | 6.37 |
| MAE:Equity, average, losing trades | 0.75 |
| 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 | -16.79 |
| MAE:PL (avg, all trades) | -0.11 |
| MAE:PL (avg, losing trades) | — |
| MAE:PL - Losing Trades - this strat Percentile of All Strats | 96.09 |
| MAE:PL - Winning Trades - this strat Percentile of All Strats | 67.13 |
| MAE:PL (avg, winning trades) | — |
| MAE:PL - worst single value for strategy | — |
| Avg(MAE) / Avg(PL) - Winning trades | 0.86 |
| Avg(MAE) / Avg(PL) - Losing trades | -5.08 |
| Hold-and-Hope Ratio | -0.05 |
RATIO STATISTICS
| Mean | 0.19 |
|---|---|
| SD | 1.05 |
| Sharpe ratio (Glass type estimate) | 0.18 |
| Sharpe ratio (Hedges UMVUE) | 0.18 |
| df | 62 |
| t | 0.42 |
| p | 0.34 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.68 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.04 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.68 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 1.04 |
| Sortino ratio | 0.43 |
| Upside Potential Ratio | 0.93 |
| Upside part of mean | 0.41 |
| Downside part of mean | -0.22 |
| Upside SD | 0.94 |
| Downside SD | 0.44 |
| N nonnegative terms | 61 |
| N negative terms | 2 |
| N of observations | 63 |
| Mean of predictor | 0.32 |
| Mean of criterion | 0.19 |
| SD of predictor | 0.31 |
| SD of criterion | 1.05 |
| Covariance | -0.06 |
| r | -0.18 |
| b (slope, estimate of beta) | -0.61 |
| a (intercept, estimate of alpha) | 0.39 |
| Mean Square Error | 1.08 |
| DF error | 61 |
| t(b) | -1.45 |
| p(b) | 0.92 |
| t(a) | 0.82 |
| p(a) | 0.21 |
| Lowerbound of 95% confidence interval for beta | -1.45 |
| Upperbound of 95% confidence interval for beta | 0.23 |
| Lowerbound of 95% confidence interval for alpha | -0.56 |
| Upperbound of 95% confidence interval for alpha | 1.33 |
| Treynor index (mean / b) | -0.31 |
| Jensen alpha (a) | 0.39 |
| Mean | -2.09 |
| SD | 5.24 |
| Sharpe ratio (Glass type estimate) | -0.40 |
| Sharpe ratio (Hedges UMVUE) | -0.39 |
| df | 62 |
| t | -0.91 |
| p | 0.82 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.25 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.46 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -1.25 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.46 |
| Sortino ratio | -0.40 |
| Upside Potential Ratio | 0.04 |
| Upside part of mean | 0.22 |
| Downside part of mean | -2.31 |
| Upside SD | 0.50 |
| Downside SD | 5.21 |
| N nonnegative terms | 61 |
| N negative terms | 2 |
| N of observations | 63 |
| Mean of predictor | 0.27 |
| Mean of criterion | -2.09 |
| SD of predictor | 0.30 |
| SD of criterion | 5.24 |
| Covariance | 0.03 |
| r | 0.02 |
| b (slope, estimate of beta) | 0.31 |
| a (intercept, estimate of alpha) | -2.17 |
| Mean Square Error | 27.92 |
| DF error | 61 |
| t(b) | 0.14 |
| p(b) | 0.45 |
| t(a) | -0.91 |
| p(a) | 0.82 |
| Lowerbound of 95% confidence interval for beta | -4.24 |
| Upperbound of 95% confidence interval for beta | 4.86 |
| Lowerbound of 95% confidence interval for alpha | -6.95 |
| Upperbound of 95% confidence interval for alpha | 2.60 |
| Treynor index (mean / b) | -6.72 |
| Jensen alpha (a) | -2.17 |
| VaR(95%) | 0.93 |
| Expected Shortfall on VaR | 0.96 |
| VaR(95%) | 0 |
| Expected Shortfall on VaR | 0 |
| Mean | 69146.66 |
| SD | 85107.40 |
| Sharpe ratio (Glass type estimate) | 0.81 |
| Sharpe ratio (Hedges UMVUE) | 0.81 |
| df | 1395 |
| t | 1.88 |
| p | 0.47 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.04 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.66 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.04 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 1.66 |
| Sortino ratio | 54367.57 |
| Upside Potential Ratio | 54369.30 |
| Upside part of mean | 69148.86 |
| Downside part of mean | -2.19 |
| Upside SD | 85184.09 |
| Downside SD | 1.27 |
| N nonnegative terms | 1370 |
| N negative terms | 26 |
| N of observations | 1396 |
| Mean of predictor | 0.49 |
| Mean of criterion | 69146.66 |
| SD of predictor | 0.57 |
| SD of criterion | 85107.40 |
| Covariance | 13394.17 |
| r | 0.28 |
| b (slope, estimate of beta) | 41871.18 |
| a (intercept, estimate of alpha) | 48813.23 |
| Mean Square Error | 6687233536 |
| DF error | 1394 |
| t(b) | 10.82 |
| p(b) | 0.36 |
| t(a) | 1.38 |
| p(a) | 0.48 |
| Lowerbound of 95% confidence interval for beta | 34277.35 |
| Upperbound of 95% confidence interval for beta | 49465.02 |
| Lowerbound of 95% confidence interval for alpha | -20780.02 |
| Upperbound of 95% confidence interval for alpha | 118406.48 |
| Treynor index (mean / b) | 1.65 |
| Jensen alpha (a) | 48813.23 |
| Mean | -2.06 |
| SD | 14.70 |
| Sharpe ratio (Glass type estimate) | -0.14 |
| Sharpe ratio (Hedges UMVUE) | -0.14 |
| df | 1395 |
| t | -0.32 |
| p | 0.51 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.99 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.71 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.99 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.71 |
| Sortino ratio | -0.19 |
| Upside Potential Ratio | 0.95 |
| Upside part of mean | 10.31 |
| Downside part of mean | -12.37 |
| Upside SD | 9.92 |
| Downside SD | 10.84 |
| N nonnegative terms | 1370 |
| N negative terms | 26 |
| N of observations | 1396 |
| Mean of predictor | 0.33 |
| Mean of criterion | -2.06 |
| SD of predictor | 0.56 |
| SD of criterion | 14.70 |
| Covariance | 2.52 |
| r | 0.30 |
| b (slope, estimate of beta) | 7.93 |
| a (intercept, estimate of alpha) | -4.65 |
| Mean Square Error | 196.27 |
| DF error | 1394 |
| t(b) | 11.91 |
| p(b) | 0.35 |
| t(a) | -0.77 |
| p(a) | 0.51 |
| Lowerbound of 95% confidence interval for beta | 6.62 |
| Upperbound of 95% confidence interval for beta | 9.23 |
| Lowerbound of 95% confidence interval for alpha | -16.56 |
| Upperbound of 95% confidence interval for alpha | 7.27 |
| Treynor index (mean / b) | -0.26 |
| Jensen alpha (a) | -4.65 |
| VaR(95%) | 0.78 |
| Expected Shortfall on VaR | 0.84 |
| VaR(95%) | 0 |
| Expected Shortfall on VaR | 0 |
| Mean | 0 |
| SD | 0 |
| Sharpe ratio (Glass type estimate) | 0 |
| Sharpe ratio (Hedges UMVUE) | 0 |
| df | 0 |
| t | 0 |
| p | 0 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | 0 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 0 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0 |
| Sortino ratio | 0 |
| Upside Potential Ratio | 0 |
| Upside part of mean | 0 |
| Downside part of mean | 0 |
| Upside SD | 0 |
| Downside SD | 0 |
| N nonnegative terms | 131 |
| N negative terms | 0 |
| N of observations | 131 |
| Mean of predictor | 2.18 |
| Mean of criterion | 0 |
| SD of predictor | 0.64 |
| SD of criterion | 0 |
| Covariance | 0 |
| r | 0 |
| b (slope, estimate of beta) | 0 |
| a (intercept, estimate of alpha) | 0 |
| Mean Square Error | 0 |
| DF error | 0 |
| t(b) | 0 |
| p(b) | 0 |
| t(a) | 0 |
| p(a) | 0 |
| Lowerbound of 95% confidence interval for beta | 0 |
| Upperbound of 95% confidence interval for beta | 0 |
| Lowerbound of 95% confidence interval for alpha | 0 |
| Upperbound of 95% confidence interval for alpha | 0 |
| Treynor index (mean / b) | 0 |
| Jensen alpha (a) | 0 |
| Mean | 0 |
| SD | 0 |
| Sharpe ratio (Glass type estimate) | 0 |
| Sharpe ratio (Hedges UMVUE) | 0 |
| df | 0 |
| t | 0 |
| p | 0 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | 0 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 0 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0 |
| Sortino ratio | 0 |
| Upside Potential Ratio | 0 |
| Upside part of mean | 0 |
| Downside part of mean | 0 |
| Upside SD | 0 |
| Downside SD | 0 |
| N nonnegative terms | 131 |
| N negative terms | 0 |
| N of observations | 131 |
| Mean of predictor | 1.97 |
| Mean of criterion | 0 |
| SD of predictor | 0.63 |
| SD of criterion | 0 |
| Covariance | 0 |
| r | 0 |
| b (slope, estimate of beta) | 0 |
| a (intercept, estimate of alpha) | 0 |
| Mean Square Error | 0 |
| DF error | 0 |
| t(b) | 0 |
| p(b) | 0 |
| t(a) | 0 |
| p(a) | 0 |
| Lowerbound of 95% confidence interval for beta | 0 |
| VAR (95 Confidence Intrvl) | 0.78 |
| Upperbound of 95% confidence interval for beta | 0 |
| Lowerbound of 95% confidence interval for alpha | 0 |
| Upperbound of 95% confidence interval for alpha | 0 |
| Treynor index (mean / b) | 0 |
| Jensen alpha (a) | 0 |
| VaR(95%) | 0 |
| Expected Shortfall on VaR | 0 |
| VaR(95%) | 0 |
| Expected Shortfall on VaR | 0 |
ORDER STATISTICS
| Number of observations | 63 |
|---|---|
| Minimum | 0.00 |
| Quartile 1 | 1 |
| Median | 1 |
| Quartile 3 | 1 |
| Maximum | 3.16 |
| Mean of quarter 1 | 0.93 |
| Mean of quarter 2 | 1 |
| Mean of quarter 3 | 1 |
| Mean of quarter 4 | 1.13 |
| Inter Quartile Range | 0 |
| Number outliers low | 2 |
| Percentage of outliers low | 0.03 |
| Mean of outliers low | 0.42 |
| Number of outliers high | 1 |
| Percentage of outliers high | 0.02 |
| Mean of outliers high | 3.16 |
| Extreme Value Index (moments method) | 0 |
| VaR(95%) (moments method) | 0 |
| Expected Shortfall (moments method) | 0 |
| Extreme Value Index (regression method) | 1.41 |
| VaR(95%) (regression method) | -0.01 |
| Expected Shortfall (regression method) | 0 |
| Number of observations | 1396 |
| Minimum | 0.00 |
| Quartile 1 | 1 |
| Median | 1 |
| Quartile 3 | 1 |
| Maximum | 145338.28 |
| Mean of quarter 1 | 0.97 |
| Mean of quarter 2 | 1 |
| Mean of quarter 3 | 1 |
| Mean of quarter 4 | 1056.71 |
| Inter Quartile Range | 0 |
| Number outliers low | 26 |
| Percentage of outliers low | 0.02 |
| Mean of outliers low | 0.55 |
| Number of outliers high | 40 |
| Percentage of outliers high | 0.03 |
| Mean of outliers high | 9212.05 |
| Extreme Value Index (moments method) | 0 |
| VaR(95%) (moments method) | 0 |
| Expected Shortfall (moments method) | 0 |
| Extreme Value Index (regression method) | -3.52 |
| VaR(95%) (regression method) | -12.66 |
| Expected Shortfall (regression method) | 0 |
| Number of observations | 131 |
| Minimum | 1 |
| Quartile 1 | 1 |
| Median | 1 |
| Quartile 3 | 1 |
| Maximum | 1 |
| Mean of quarter 1 | 1 |
| Mean of quarter 2 | 1 |
| Mean of quarter 3 | 1 |
| Mean of quarter 4 | 1 |
| 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 |
DRAW DOWN STATISTICS
| Number of observations | 2 |
|---|---|
| Minimum | 0.16 |
| Quartile 1 | 0.37 |
| Median | 0.58 |
| Quartile 3 | 0.79 |
| Maximum | 1.00 |
| Mean of quarter 1 | 0.16 |
| Mean of quarter 2 | 0 |
| Mean of quarter 3 | 0 |
| Mean of quarter 4 | 1.00 |
| Inter Quartile Range | 0.42 |
| 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 | 4 |
| Minimum | 0.12 |
| Quartile 1 | 0.38 |
| Median | 0.73 |
| Quartile 3 | 1.00 |
| Maximum | 1.00 |
| Mean of quarter 1 | 0.12 |
| Mean of quarter 2 | 0.46 |
| Mean of quarter 3 | 1.00 |
| Mean of quarter 4 | 1.00 |
| Inter Quartile Range | 0.62 |
| 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 | 0 |
| Minimum | 0 |
| Quartile 1 | 0 |
| Median | 0 |
| Quartile 3 | 0 |
| Maximum | 0 |
| 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 |
| Strat Max DD how much worse than SP500 max DD during strat life? | -385403264 |
| Max Equity Drawdown (num days) | 3 |
| Last 4 Months - Pcnt Negative | 0.5% |
COMBINED STATISTICS
| Annualized return (arithmetic extrapolation) | -0.19 |
|---|---|
| Compounded annual return (geometric extrapolation) | -0.88 |
| Calmar ratio (compounded annual return / max draw down) | -0.88 |
| Compounded annual return / average of 25% largest draw downs | -0.88 |
| Compounded annual return / Expected Shortfall lognormal | -0.91 |
| j156mfCOMBRisPar | 0 |
| j157mfCOMBRisPar | 0 |
| Annualized return (arithmetic extrapolation) | -0.19 |
| Compounded annual return (geometric extrapolation) | -0.87 |
| Calmar ratio (compounded annual return / max draw down) | -0.87 |
| Compounded annual return / average of 25% largest draw downs | -0.87 |
| Compounded annual return / Expected Shortfall lognormal | -1.04 |
| j313dfCOMBRisPar | 0 |
| j314dfCOMBRisPar | 0 |
| Annualized return (arithmetic extrapolation) | 0 |
| Compounded annual return (geometric extrapolation) | 0 |
| Calmar ratio (compounded annual return / max draw down) | 0 |
| Compounded annual return / average of 25% largest draw downs | 0 |
| Compounded annual return / Expected Shortfall lognormal | 0 |
Trading record
Placed 50 trades in real-life brokerage accounts.
| Symbol | Side | Qty | Opened | Closed | P/L |
|---|---|---|---|---|---|
| YM U8 | short | 20 | Jul 16, 2008 | Aug 11, 2008 | ($41,290) |
| USD/JPY | short | 1000 | Jul 17, 2008 | Aug 11, 2008 | ($275) |
| QGC Q8 | long | 15 | Jul 17, 2008 | Aug 11, 2008 | ($79,060) |
| QGC Z8 | long | 8 | Jul 28, 2008 | Jul 30, 2008 | ($12,254) |
| QGC Z8 | long | 4 | Jul 22, 2008 | Jul 23, 2008 | ($11,472) |
| EUR/USD | long | 1400 | Jul 17, 2008 | Jul 22, 2008 | $8,452 |
| USD/JPY | short | 600 | Jul 16, 2008 | Jul 16, 2008 | $7 |
| QGC Z8 | long | 8 | Jul 16, 2008 | Jul 16, 2008 | $2,904 |
| USD/JPY | long | 1300 | Jul 15, 2008 | Jul 16, 2008 | $22 |
| YM U8 | short | 1 | Jul 15, 2008 | Jul 16, 2008 | $877 |
| QGC Z8 | long | 1 | Jul 16, 2008 | Jul 16, 2008 | $172 |
| EUR/USD | long | 50 | Jul 15, 2008 | Jul 16, 2008 | $21 |
| QGC U8 | long | 6 | Jul 15, 2008 | Jul 15, 2008 | $2,442 |
| YM U8 | short | 1 | Jul 15, 2008 | Jul 15, 2008 | ($18) |
| EUR/USD | short | 300 | Jul 14, 2008 | Jul 15, 2008 | $255 |
| QGC U8 | short | 3 | Jul 14, 2008 | Jul 15, 2008 | $876 |
| USD/JPY | short | 300 | Jul 14, 2008 | Jul 15, 2008 | $9 |
| USD/JPY | short | 800 | Jul 11, 2008 | Jul 14, 2008 | $10 |
| YM U8 | short | 1 | Jul 14, 2008 | Jul 14, 2008 | $832 |
| QGC Z8 | long | 5 | Jul 14, 2008 | Jul 14, 2008 | $5,930 |
| QGC U8 | long | 6 | Jul 11, 2008 | Jul 13, 2008 | $4,272 |
| QGC U8 | short | 6 | Jul 11, 2008 | Jul 11, 2008 | $552 |
| YM U8 | short | 2 | Jul 10, 2008 | Jul 11, 2008 | $344 |
| DJ Z8 | short | 2 | Jul 8, 2008 | Jul 11, 2008 | $784 |
| QGC Q8 | long | 3 | Jul 10, 2008 | Jul 11, 2008 | $2,046 |
| QGC Q8 | short | 1 | Jul 10, 2008 | Jul 10, 2008 | $162 |
| QGC Z8 | short | 1 | Jul 10, 2008 | Jul 10, 2008 | $132 |
| QGC Z8 | long | 13 | Jul 8, 2008 | Jul 10, 2008 | $15,076 |
| DJ Z8 | short | 2 | Jul 8, 2008 | Jul 8, 2008 | ($216) |
| QGC Z8 | long | 8 | Jul 7, 2008 | Jul 8, 2008 | $7,796 |
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.