Integrity-Profiteer
- hypothetical · Annual Return (Compounded)
- 2.7%
- Max Drawdown
- 68.3%
- Trades
- 300
- Win Trades
- 75.0%
- Profit Factor
- 1.20
- Win Months
- 2.8%
About this strategy
NOTE: Recent loss on USD/CAD and EUR/USD were due to FXCM feed freezing. These orders would have had better averaged price and would have closed with 50+ pips of profit. However, due to the feed issue with Collective2, my trades never reached target profit (but my real account did), and since I was going on vacation, I closed these 2 trades. I am still up 25% for the month, instead of the 50%.
Market sentiment is the driving force of the currency market. Sentiment is the reflection of fundamental news. My focus is on the sentiment and I try to capture a major move before it takes place. My trading method is not based on technical or news trading... it is based on sentiment trading exclusively.
Most of my trades will be entered between 2:00am ~ 3:45am NY Time, and some will be entered between 6:00am ~ 7:45am NY Time. There is also a possibility for one order per day during the Tokyo session, between 7:00pm ~ 8:45pm.
My goal is 30 to 150 pips per trade, my stops are usually limited to 60~80 pips (although I may let some positions take larger stops based on lower leveraged entry and market direction), I focus on a 30 pips zonal stop (from 50 to 80 pips), since I do not believe that a particular bid/ask price is sufficient as stop.
My recommended leverage for trading is 2X your current available Equity. If you have a $10,000 account, then you only trade 2 mini lots per trade... I may have up to 4 positions, therefore up to 8 mini lots... Do not overtrade my system or you may be taking on a higher than necessary risk.
I recommend that you autotrade my system, although I do trade the London session, sometimes I follow high-impact news events during Late U.S. Session or Early Asian sessions... therefore it is best if you setup auto-trading based on my system.
UPDATE: Some traders question a huge drawdown on my record referring to the AUD/JPY trade, at the time of the trade, we had a major capitulation move and Collective2 website was down. I couldn't close the trade although I have issued a closeall signal. Then after one hour collective2 came back and market started to rebound, and I started to add on to more positions therefore came out with a profit. This trade would have a controlled risk.
Secondly, some traders wonder why I add to a losing position. The answer is I average my entries at better price. If you look at my original entries, I enter with such a small lot that practically I am just trading 2 lots on a 250K account! Therefore I can afford the cost average. Remember my trade is based on fundamentals. I am anticipating market movement therefore I am confident with market direction, that is why you can see over 85% successful trades. I usually dont hold my trades for days waiting for it to turn positive, as you can see the average time per trades.
Thank you, and if you want to learn about my trading methods, I do publish an E-book at my website http://www.newsprofiteer.com
NewsProfiteer
Hypothetical Monthly Returns (includes fees/commissions)
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | YTD |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2008 | 132.8 | 24.1 | 3.7 | 199.6 | |||||||||
| 2009 | -60.5 | 35.7 | -1.3 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.1 | -0.0 | 0.0 | 0.0 | -46.0 |
| 2010 | 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 |
| 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 |
Statistics
Overview
| Strategy began | 10/5/2008 |
|---|---|
| Suggested Minimum Capital | $100,000 |
| Age | 218 months |
| What it trades | Forex |
| # Trades | 300 |
| # Profitable | 225 |
| % Profitable | 75.0% |
| Avg trade duration | 8.6 hours |
| Max peak-to-valley drawdown | 68.3% |
| drawdown period | Nov 25, 2008 - Jan 30, 2009 |
| Annual Return (Compounded) | 2.7% |
| Avg win | $2,376 |
| Avg loss | $6,083 |
Ratios
| W:L ratio | 1.17 |
|---|---|
| Sharpe Ratio | 0.11 |
| Sortino Ratio | 0.17 |
| Calmar Ratio | -0.14 |
CORRELATION STATISTICS
| Correlation to SP500 | -0.07 |
|---|---|
| Return Percent SP500 (cumu) during strategy life | 594.8% |
| Return of Strat Pcnt - Return of SP500 Pcnt (cumu) | -529.1% |
Return Statistics
| Ann Return (w trading costs) | 2.7% |
|---|---|
| Return Pcnt (Compound or Annual, age-based, NFA compliant) | 0.0% |
| Return Pcnt Since TOS Status | 0.0% |
| Ann Return (Compnd, No Fees) | 3.3% |
Slump
| Current Slump as Pcnt Equity | 130.6% |
|---|---|
| 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 | 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) | 0.0% |
| Chance of 80% account loss (Monte Carlo) | 0.0% |
| Chance of 90% account loss (Monte Carlo) | 0.0% |
| Chance of 100% 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 | $6,083 |
|---|---|
| Avg Win | $2,376 |
| # Winners | 225 |
| Sum Trade PL (losers) | $456,242 |
| Sum Trade PL (winners) | $534,583 |
| Num Months Winners | 9 |
| # Losers | 75 |
| % Winners | 75.0% |
Dividends
| Dividends Received in Model Acct | 0 |
|---|
Age
| Num Months filled monthly returns table | 216 |
|---|
Frequency
| Avg Position Time (mins) | 518.55 |
|---|---|
| Avg Position Time (hrs) | 8.64 |
| Avg Trade Length | 0.40 |
| Last Trade Ago | 6403 |
Regression
| Alpha | 0.01 |
|---|---|
| Beta | -0.06 |
| Treynor Index | -0.10 |
Maximum Adverse Excursion (MAE)
| MAE:Equity, average, all trades | 0.02 |
|---|---|
| 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 | 0.02 |
| MAE:Equity, win trades only, 95th Percentile Value for this strat | — |
| Avg(MAE) / Avg(PL) - All trades | 37.23 |
| MAE:PL (avg, all trades) | 0.85 |
| MAE:PL (avg, losing trades) | — |
| MAE:PL - Losing Trades - this strat Percentile of All Strats | 32.66 |
| MAE:PL - Winning Trades - this strat Percentile of All Strats | 44.98 |
| MAE:PL (avg, winning trades) | — |
| MAE:PL - worst single value for strategy | — |
| Avg(MAE) / Avg(PL) - Winning trades | 1.46 |
| Avg(MAE) / Avg(PL) - Losing trades | -1.18 |
| Hold-and-Hope Ratio | 0.03 |
RATIO STATISTICS
| Mean | 0.01 |
|---|---|
| SD | 0.52 |
| Sharpe ratio (Glass type estimate) | 0.03 |
| Sharpe ratio (Hedges UMVUE) | 0.03 |
| df | 61 |
| t | 0.07 |
| p | 0.47 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.83 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.89 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.83 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.89 |
| Sortino ratio | 0.06 |
| Upside Potential Ratio | 0.73 |
| Upside part of mean | 0.20 |
| Downside part of mean | -0.18 |
| Upside SD | 0.44 |
| Downside SD | 0.27 |
| N nonnegative terms | 56 |
| N negative terms | 6 |
| N of observations | 62 |
| Mean of predictor | 0.41 |
| Mean of criterion | 0.01 |
| SD of predictor | 0.32 |
| SD of criterion | 0.52 |
| Covariance | -0.00 |
| r | -0.02 |
| b (slope, estimate of beta) | -0.04 |
| a (intercept, estimate of alpha) | 0.03 |
| Mean Square Error | 0.27 |
| DF error | 60 |
| t(b) | -0.18 |
| p(b) | 0.57 |
| t(a) | 0.12 |
| p(a) | 0.45 |
| Lowerbound of 95% confidence interval for beta | -0.46 |
| Upperbound of 95% confidence interval for beta | 0.38 |
| Lowerbound of 95% confidence interval for alpha | -0.46 |
| Upperbound of 95% confidence interval for alpha | 0.52 |
| Treynor index (mean / b) | -0.39 |
| Jensen alpha (a) | 0.03 |
| Mean | -0.10 |
| SD | 0.47 |
| Sharpe ratio (Glass type estimate) | -0.20 |
| Sharpe ratio (Hedges UMVUE) | -0.20 |
| df | 61 |
| t | -0.47 |
| p | 0.68 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.07 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.66 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -1.07 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.66 |
| Sortino ratio | -0.27 |
| Upside Potential Ratio | 0.39 |
| Upside part of mean | 0.14 |
| Downside part of mean | -0.23 |
| Upside SD | 0.30 |
| Downside SD | 0.35 |
| N nonnegative terms | 56 |
| N negative terms | 6 |
| N of observations | 62 |
| Mean of predictor | 0.36 |
| Mean of criterion | -0.10 |
| SD of predictor | 0.30 |
| SD of criterion | 0.47 |
| Covariance | 0.01 |
| r | 0.04 |
| b (slope, estimate of beta) | 0.06 |
| a (intercept, estimate of alpha) | -0.12 |
| Mean Square Error | 0.22 |
| DF error | 60 |
| t(b) | 0.29 |
| p(b) | 0.39 |
| t(a) | -0.53 |
| p(a) | 0.70 |
| Lowerbound of 95% confidence interval for beta | -0.34 |
| Upperbound of 95% confidence interval for beta | 0.46 |
| Lowerbound of 95% confidence interval for alpha | -0.56 |
| Upperbound of 95% confidence interval for alpha | 0.32 |
| Treynor index (mean / b) | -1.65 |
| Jensen alpha (a) | -0.12 |
| VaR(95%) | 0.21 |
| Expected Shortfall on VaR | 0.25 |
| VaR(95%) | 0.01 |
| Expected Shortfall on VaR | 0.03 |
| Mean | 0.41 |
| SD | 1.05 |
| Sharpe ratio (Glass type estimate) | 0.39 |
| Sharpe ratio (Hedges UMVUE) | 0.39 |
| df | 1374 |
| t | 0.90 |
| p | 0.49 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.46 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.25 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.46 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 1.25 |
| Sortino ratio | 0.71 |
| Upside Potential Ratio | 2.77 |
| Upside part of mean | 1.61 |
| Downside part of mean | -1.19 |
| Upside SD | 0.87 |
| Downside SD | 0.58 |
| N nonnegative terms | 1291 |
| N negative terms | 84 |
| N of observations | 1375 |
| Mean of predictor | 0.50 |
| Mean of criterion | 0.41 |
| SD of predictor | 0.45 |
| SD of criterion | 1.05 |
| Covariance | -0.10 |
| r | -0.21 |
| b (slope, estimate of beta) | -0.50 |
| a (intercept, estimate of alpha) | 0.66 |
| Mean Square Error | 1.05 |
| DF error | 1373 |
| t(b) | -8.05 |
| p(b) | 0.63 |
| t(a) | 1.47 |
| p(a) | 0.47 |
| Lowerbound of 95% confidence interval for beta | -0.62 |
| Upperbound of 95% confidence interval for beta | -0.37 |
| Lowerbound of 95% confidence interval for alpha | -0.22 |
| Upperbound of 95% confidence interval for alpha | 1.54 |
| Treynor index (mean / b) | -0.83 |
| Jensen alpha (a) | 0.66 |
| Mean | -0.09 |
| SD | 1.02 |
| Sharpe ratio (Glass type estimate) | -0.09 |
| Sharpe ratio (Hedges UMVUE) | -0.09 |
| df | 1374 |
| t | -0.21 |
| p | 0.50 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.95 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.76 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.95 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.76 |
| Sortino ratio | -0.12 |
| Upside Potential Ratio | 1.73 |
| Upside part of mean | 1.35 |
| Downside part of mean | -1.44 |
| Upside SD | 0.66 |
| Downside SD | 0.78 |
| N nonnegative terms | 1291 |
| N negative terms | 84 |
| N of observations | 1375 |
| Mean of predictor | 0.40 |
| Mean of criterion | -0.09 |
| SD of predictor | 0.45 |
| SD of criterion | 1.02 |
| Covariance | -0.11 |
| r | -0.23 |
| b (slope, estimate of beta) | -0.52 |
| a (intercept, estimate of alpha) | 0.11 |
| Mean Square Error | 0.99 |
| DF error | 1373 |
| t(b) | -8.72 |
| p(b) | 0.64 |
| t(a) | 0.26 |
| p(a) | 0.50 |
| Lowerbound of 95% confidence interval for beta | -0.63 |
| Upperbound of 95% confidence interval for beta | -0.40 |
| Lowerbound of 95% confidence interval for alpha | -0.74 |
| Upperbound of 95% confidence interval for alpha | 0.97 |
| Treynor index (mean / b) | 0.18 |
| Jensen alpha (a) | 0.11 |
| VaR(95%) | 0.10 |
| Expected Shortfall on VaR | 0.12 |
| VaR(95%) | 0.00 |
| Expected Shortfall on VaR | 0.01 |
| 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 | 1.13 |
| Mean of criterion | 0 |
| SD of predictor | 0.50 |
| 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 | 1.01 |
| Mean of criterion | 0 |
| SD of predictor | 0.50 |
| 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) | 0.10 |
| 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 | 62 |
|---|---|
| Minimum | 0.56 |
| Quartile 1 | 1 |
| Median | 1 |
| Quartile 3 | 1 |
| Maximum | 2.00 |
| Mean of quarter 1 | 0.94 |
| Mean of quarter 2 | 1 |
| Mean of quarter 3 | 1 |
| Mean of quarter 4 | 1.06 |
| Inter Quartile Range | 0 |
| Number outliers low | 6 |
| Percentage of outliers low | 0.10 |
| Mean of outliers low | 0.84 |
| Number of outliers high | 9 |
| Percentage of outliers high | 0.15 |
| Mean of outliers high | 1.11 |
| Extreme Value Index (moments method) | -5.64 |
| VaR(95%) (moments method) | 0.00 |
| Expected Shortfall (moments method) | 0.00 |
| Extreme Value Index (regression method) | -0.91 |
| VaR(95%) (regression method) | 0.07 |
| Expected Shortfall (regression method) | 0.13 |
| Number of observations | 1375 |
| Minimum | 0.35 |
| Quartile 1 | 1 |
| Median | 1 |
| Quartile 3 | 1 |
| Maximum | 2.22 |
| 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 |
| Number outliers low | 84 |
| Percentage of outliers low | 0.06 |
| Mean of outliers low | 0.93 |
| Number of outliers high | 90 |
| Percentage of outliers high | 0.07 |
| Mean of outliers high | 1.09 |
| Extreme Value Index (moments method) | 0.59 |
| VaR(95%) (moments method) | 0.00 |
| Expected Shortfall (moments method) | 0.01 |
| Extreme Value Index (regression method) | 0 |
| VaR(95%) (regression method) | 0 |
| 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 | 0.42 |
| Quartile 1 | 0.44 |
| Median | 0.45 |
| Quartile 3 | 0.47 |
| Maximum | 0.48 |
| Mean of quarter 1 | 0.42 |
| Mean of quarter 2 | 0 |
| Mean of quarter 3 | 0 |
| Mean of quarter 4 | 0.48 |
| Inter Quartile Range | 0.03 |
| 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 | 7 |
| Minimum | 0.14 |
| Quartile 1 | 0.21 |
| Median | 0.46 |
| Quartile 3 | 0.58 |
| Maximum | 0.65 |
| Mean of quarter 1 | 0.16 |
| Mean of quarter 2 | 0.35 |
| Mean of quarter 3 | 0.56 |
| Mean of quarter 4 | 0.63 |
| Inter Quartile Range | 0.37 |
| 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? | -407527232 |
| Max Equity Drawdown (num days) | 66 |
| Last 4 Months - Pcnt Negative | 0.0% |
COMBINED STATISTICS
| Annualized return (arithmetic extrapolation) | -0.08 |
|---|---|
| Compounded annual return (geometric extrapolation) | -0.09 |
| Calmar ratio (compounded annual return / max draw down) | -0.19 |
| Compounded annual return / average of 25% largest draw downs | -0.19 |
| Compounded annual return / Expected Shortfall lognormal | -0.37 |
| j156mfCOMBRisPar | 0 |
| j157mfCOMBRisPar | 0 |
| Annualized return (arithmetic extrapolation) | -0.07 |
| Compounded annual return (geometric extrapolation) | -0.09 |
| Calmar ratio (compounded annual return / max draw down) | -0.14 |
| Compounded annual return / average of 25% largest draw downs | -0.14 |
| Compounded annual return / Expected Shortfall lognormal | -0.74 |
| 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 481 trades in real-life brokerage accounts.
| Symbol | Side | Qty | Opened | Closed | P/L |
|---|---|---|---|---|---|
| GBP/JPY | short | 450 | Mar 4, 2009 | Mar 4, 2009 | ($14) |
| USD/CAD | long | 300 | Mar 4, 2009 | Mar 4, 2009 | $551 |
| AUD/USD | long | 300 | Feb 27, 2009 | Feb 27, 2009 | $498 |
| GBP/USD | long | 300 | Feb 27, 2009 | Feb 27, 2009 | $504 |
| GBP/JPY | long | 300 | Feb 26, 2009 | Feb 27, 2009 | $6 |
| GBP/JPY | short | 450 | Feb 26, 2009 | Feb 26, 2009 | $3 |
| USD/CAD | long | 600 | Feb 26, 2009 | Feb 26, 2009 | $2,003 |
| GBP/USD | short | 200 | Feb 25, 2009 | Feb 25, 2009 | ($474) |
| GBP/JPY | short | 450 | Feb 24, 2009 | Feb 24, 2009 | $4 |
| AUD/USD | long | 300 | Feb 23, 2009 | Feb 23, 2009 | $603 |
| GBP/JPY | short | 750 | Feb 23, 2009 | Feb 23, 2009 | $14 |
| USD/CAD | long | 600 | Feb 22, 2009 | Feb 23, 2009 | $1,644 |
| GBP/JPY | short | 200 | Feb 19, 2009 | Feb 19, 2009 | $12 |
| GBP/JPY | short | 400 | Feb 19, 2009 | Feb 19, 2009 | $7 |
| EUR/GBP | long | 200 | Feb 18, 2009 | Feb 19, 2009 | $615 |
| AUD/USD | long | 600 | Feb 16, 2009 | Feb 19, 2009 | $3,143 |
| GBP/JPY | short | 300 | Feb 18, 2009 | Feb 18, 2009 | $0 |
| GBP/JPY | short | 150 | Feb 18, 2009 | Feb 18, 2009 | $4 |
| GBP/USD | long | 150 | Feb 18, 2009 | Feb 18, 2009 | ($1,113) |
| GBP/JPY | long | 150 | Feb 18, 2009 | Feb 18, 2009 | ($8) |
| GBP/JPY | short | 150 | Feb 17, 2009 | Feb 17, 2009 | $4 |
| GBP/JPY | long | 150 | Feb 17, 2009 | Feb 17, 2009 | ($1) |
| EUR/GBP | long | 200 | Feb 17, 2009 | Feb 17, 2009 | ($1,069) |
| GBP/JPY | short | 150 | Feb 17, 2009 | Feb 17, 2009 | $3 |
| GBP/JPY | short | 150 | Feb 17, 2009 | Feb 17, 2009 | $0 |
| EUR/USD | long | 400 | Feb 16, 2009 | Feb 17, 2009 | $554 |
| GBP/JPY | long | 150 | Feb 17, 2009 | Feb 17, 2009 | $7 |
| GBP/JPY | long | 150 | Feb 17, 2009 | Feb 17, 2009 | ($3) |
| GBP/JPY | long | 150 | Feb 17, 2009 | Feb 17, 2009 | ($4) |
| GBP/JPY | long | 150 | Feb 16, 2009 | Feb 16, 2009 | $4 |
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.