Freedom EURUSD
- hypothetical · Annual Return (Compounded)
- -24.1%
- Max Drawdown
- 57.6%
- Trades
- 119
- Win Trades
- 75.6%
- Profit Factor
- 1
- Win Months
- 4.9%
About this strategy
System based on fundamental and technical analysis. My indicators provide 10-15 trades per month depending on the market.
Any questions please let me know.
Q: What is the trading size?
A: 0.2 lot per trade. But you can scale it up or down, when you setup auto trading.
Q: I can see that some days 8-12 mini lots have been traded. Do you use martingale ?
A: NO , it shows total of trades in one day, INCLUDING intraday scalping.
Q: What minimal amount of cash in my Broker Account do you suggest?
A: Minimum 1000$ with trade multiplier at 50% (please read below)
Q: When setting up auto-trading, how much trade multiplier should I choose?
A: There is 2 different risk/reward, I suggest:
BALANCED: 0.1 lot every 2000$ on your account.
AGGRESSIVE: 0.1 lot every 1000$ on your account.
Examples:
Freedom EURUSD trading size is 0.2 lots per trade:
2000$ account:
Balanced: 50% trade multiplier (half system size, 0.1 lot per trade)
Aggressive: 100% trade multiplier (1:1 system size, 0.2 lots per trade)
4000$ account:
Balanced: 100% trade multiplier
Aggressive: 200% trade multiplier
8000$ account:
Balanced: 200% trade multiplier
Aggressive: 400% trade multiplier
And so on..
Q: Is there any stop loss on your system ?
A: Yes, Stop Loss and TakeProfits are put manually by myself, or with the help of my ExpertAdvisor, witch helps me setting a more precise Stop Loss and Take Profit. The stop loss range is between 80 and 250 pips. Please note that when is the Expert Advisor who sets the SL and TP, you dont see them because they are Virtual. (in the computer memory). All the trades are started manually.
Any questions please let me know.
Q: What is the trading size?
A: 0.2 lot per trade. But you can scale it up or down, when you setup auto trading.
Q: I can see that some days 8-12 mini lots have been traded. Do you use martingale ?
A: NO , it shows total of trades in one day, INCLUDING intraday scalping.
Q: What minimal amount of cash in my Broker Account do you suggest?
A: Minimum 1000$ with trade multiplier at 50% (please read below)
Q: When setting up auto-trading, how much trade multiplier should I choose?
A: There is 2 different risk/reward, I suggest:
BALANCED: 0.1 lot every 2000$ on your account.
AGGRESSIVE: 0.1 lot every 1000$ on your account.
Examples:
Freedom EURUSD trading size is 0.2 lots per trade:
2000$ account:
Balanced: 50% trade multiplier (half system size, 0.1 lot per trade)
Aggressive: 100% trade multiplier (1:1 system size, 0.2 lots per trade)
4000$ account:
Balanced: 100% trade multiplier
Aggressive: 200% trade multiplier
8000$ account:
Balanced: 200% trade multiplier
Aggressive: 400% trade multiplier
And so on..
Q: Is there any stop loss on your system ?
A: Yes, Stop Loss and TakeProfits are put manually by myself, or with the help of my ExpertAdvisor, witch helps me setting a more precise Stop Loss and Take Profit. The stop loss range is between 80 and 250 pips. Please note that when is the Expert Advisor who sets the SL and TP, you dont see them because they are Virtual. (in the computer memory). All the trades are started manually.
Hypothetical Monthly Returns (includes fees/commissions)
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | YTD |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014 | 2.3 | 5.0 | 7.4 | 4.1 | 20.3 | ||||||||
| 2015 | 6.3 | 7.0 | 2.8 | -31.6 | -4.3 | -20.6 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -39.3 |
| 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 | 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 |
Statistics
Overview
| Strategy began | 9/16/2014 |
|---|---|
| Suggested Minimum Capital | $5,000 |
| Age | 146 months |
| What it trades | Forex |
| # Trades | 119 |
| # Profitable | 90 |
| % Profitable | 75.6% |
| Avg trade duration | 1.4 days |
| Max peak-to-valley drawdown | 57.6% |
| drawdown period | March 13, 2015 - May 08, 2015 |
| Cumul. Return | -21.4% |
| Avg win | $63 |
| Avg loss | $203 |
Ratios
| W:L ratio | 0.96 |
|---|---|
| Sharpe Ratio | -0.23 |
| Sortino Ratio | -0.32 |
| Calmar Ratio | -0.04 |
CORRELATION STATISTICS
| Correlation to SP500 | -0.00 |
|---|---|
| Return Percent SP500 (cumu) during strategy life | 283.0% |
| Return of Strat Pcnt - Return of SP500 Pcnt (cumu) | -26.1% |
Return Statistics
| Ann Return (w trading costs) | -24.1% |
|---|---|
| Return Pcnt (Compound or Annual, age-based, NFA compliant) | -0.2% |
| Return Pcnt Since TOS Status | 0.0% |
| Ann Return (Compnd, No Fees) | -0.4% |
Slump
| Current Slump as Pcnt Equity | 103.0% |
|---|---|
| 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 | 93.0% |
|---|---|
| Chance of 20% account loss | 62.0% |
| Chance of 30% account loss | 31.0% |
| Chance of 40% account loss | 8.0% |
| Chance of 50% account loss | 0.5% |
| Chance of 60% account loss (Monte Carlo) | 0.0% |
| Chance of 70% account loss (Monte Carlo) | 0.0% |
| Chance of 80% account loss (Monte Carlo) | 0.0% |
| Chance of 90% account loss (Monte Carlo) | 0.0% |
Automation
| Percentage Signals Automated | 91.6% |
|---|
Popularity
| Popularity (Today) | 609 |
|---|---|
| Popularity (Last 6 weeks) | 937 |
| Popularity (7 days, Percentile 1000 scale) | 780 |
Trading Style
| Any stock shorts? 0/1 | 0 |
|---|
Trades-Own-System Certification
| Trades Own System? | 0 |
|---|---|
| TOS percent | 0.0% |
Win / Loss
| Avg Loss | $203 |
|---|---|
| Avg Win | $63 |
| # Winners | 90 |
| Sum Trade PL (losers) | $5,879 |
| Sum Trade PL (winners) | $5,646 |
| Num Months Winners | 7 |
| # Losers | 29 |
| % Winners | 75.6% |
Dividends
| Dividends Received in Model Acct | 0 |
|---|
Age
| Num Months filled monthly returns table | 144 |
|---|
Frequency
| Avg Position Time (mins) | 2047.10 |
|---|---|
| Avg Position Time (hrs) | 34.12 |
| Avg Trade Length | 1.40 |
| Last Trade Ago | 4119 |
Regression
| Alpha | -0.01 |
|---|---|
| Beta | 0 |
| Treynor Index | 6.23 |
Maximum Adverse Excursion (MAE)
| MAE:Equity, average, all trades | 0.02 |
|---|---|
| MAE:Equity, 95th Percentile Value for this strat | 0.06 |
| MAE:Equity, average, losing trades | 0.05 |
| MAE:Equity, losing trades only, 95th Percentile Value for this strat | — |
| MAE:Equity, average, winning trades | 0.01 |
| MAE:Equity, win trades only, 95th Percentile Value for this strat | — |
| Avg(MAE) / Avg(PL) - All trades | -37.12 |
| MAE:PL (avg, all trades) | -0.27 |
| MAE:PL (avg, losing trades) | — |
| MAE:PL - Losing Trades - this strat Percentile of All Strats | 75.46 |
| MAE:PL - Winning Trades - this strat Percentile of All Strats | 28.83 |
| MAE:PL (avg, winning trades) | — |
| MAE:PL - worst single value for strategy | — |
| Avg(MAE) / Avg(PL) - Winning trades | 0.90 |
| Avg(MAE) / Avg(PL) - Losing trades | -1.17 |
| Hold-and-Hope Ratio | -0.03 |
RATIO STATISTICS
| Mean | 0.31 |
|---|---|
| SD | 0.60 |
| Sharpe ratio (Glass type estimate) | 0.51 |
| Sharpe ratio (Hedges UMVUE) | 0.46 |
| df | 8 |
| t | 0.44 |
| p | 0.34 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.78 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.77 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -1.81 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 2.73 |
| Sortino ratio | 0.71 |
| Upside Potential Ratio | 2.20 |
| Upside part of mean | 0.95 |
| Downside part of mean | -0.65 |
| Upside SD | 0.38 |
| Downside SD | 0.43 |
| N nonnegative terms | 7 |
| N negative terms | 2 |
| N of observations | 9 |
| Mean of predictor | 0.05 |
| Mean of criterion | 0.31 |
| SD of predictor | 0.13 |
| SD of criterion | 0.60 |
| Covariance | -0.00 |
| r | -0.04 |
| b (slope, estimate of beta) | -0.17 |
| a (intercept, estimate of alpha) | 0.32 |
| Mean Square Error | 0.42 |
| DF error | 7 |
| t(b) | -0.10 |
| p(b) | 0.54 |
| t(a) | 0.42 |
| p(a) | 0.34 |
| Lowerbound of 95% confidence interval for beta | -4.17 |
| Upperbound of 95% confidence interval for beta | 3.84 |
| Lowerbound of 95% confidence interval for alpha | -1.46 |
| Upperbound of 95% confidence interval for alpha | 2.09 |
| Treynor index (mean / b) | -1.86 |
| Jensen alpha (a) | 0.32 |
| Mean | 0.12 |
| SD | 0.67 |
| Sharpe ratio (Glass type estimate) | 0.18 |
| Sharpe ratio (Hedges UMVUE) | 0.17 |
| df | 8 |
| t | 0.16 |
| p | 0.44 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.09 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.44 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -2.10 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 2.43 |
| Sortino ratio | 0.23 |
| Upside Potential Ratio | 1.69 |
| Upside part of mean | 0.89 |
| Downside part of mean | -0.77 |
| Upside SD | 0.35 |
| Downside SD | 0.52 |
| N nonnegative terms | 7 |
| N negative terms | 2 |
| N of observations | 9 |
| Mean of predictor | 0.04 |
| Mean of criterion | 0.12 |
| SD of predictor | 0.13 |
| SD of criterion | 0.67 |
| Covariance | -0.00 |
| r | -0.04 |
| b (slope, estimate of beta) | -0.22 |
| a (intercept, estimate of alpha) | 0.13 |
| Mean Square Error | 0.51 |
| DF error | 7 |
| t(b) | -0.11 |
| p(b) | 0.54 |
| t(a) | 0.16 |
| p(a) | 0.44 |
| Lowerbound of 95% confidence interval for beta | -4.69 |
| Upperbound of 95% confidence interval for beta | 4.26 |
| Lowerbound of 95% confidence interval for alpha | -1.83 |
| Upperbound of 95% confidence interval for alpha | 2.09 |
| Treynor index (mean / b) | -0.57 |
| Jensen alpha (a) | 0.13 |
| VaR(95%) | 0.26 |
| Expected Shortfall on VaR | 0.32 |
| VaR(95%) | 0.07 |
| Expected Shortfall on VaR | 0.16 |
| Mean | 0.01 |
| SD | 0.41 |
| Sharpe ratio (Glass type estimate) | 0.04 |
| Sharpe ratio (Hedges UMVUE) | 0.04 |
| df | 280 |
| t | 0.03 |
| p | 0.49 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.13 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.20 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -2.13 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 2.20 |
| Sortino ratio | 0.05 |
| Upside Potential Ratio | 6.25 |
| Upside part of mean | 1.84 |
| Downside part of mean | -1.83 |
| Upside SD | 0.28 |
| Downside SD | 0.29 |
| N nonnegative terms | 130 |
| N negative terms | 151 |
| N of observations | 281 |
| Mean of predictor | 0.05 |
| Mean of criterion | 0.01 |
| SD of predictor | 0.13 |
| SD of criterion | 0.41 |
| Covariance | -0.00 |
| r | -0.01 |
| b (slope, estimate of beta) | -0.02 |
| a (intercept, estimate of alpha) | -0.02 |
| Mean Square Error | 0.17 |
| DF error | 279 |
| t(b) | -0.09 |
| p(b) | 0.54 |
| t(a) | 0.03 |
| p(a) | 0.49 |
| Lowerbound of 95% confidence interval for beta | -0.39 |
| Upperbound of 95% confidence interval for beta | 0.35 |
| Lowerbound of 95% confidence interval for alpha | -0.87 |
| Upperbound of 95% confidence interval for alpha | 0.90 |
| Treynor index (mean / b) | -0.85 |
| Jensen alpha (a) | 0.02 |
| Mean | -0.07 |
| SD | 0.41 |
| Sharpe ratio (Glass type estimate) | -0.17 |
| Sharpe ratio (Hedges UMVUE) | -0.17 |
| df | 280 |
| t | -0.15 |
| p | 0.56 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.34 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.00 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -2.34 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 2.00 |
| Sortino ratio | -0.22 |
| Upside Potential Ratio | 5.87 |
| Upside part of mean | 1.81 |
| Downside part of mean | -1.88 |
| Upside SD | 0.27 |
| Downside SD | 0.31 |
| N nonnegative terms | 130 |
| N negative terms | 151 |
| N of observations | 281 |
| Mean of predictor | 0.04 |
| Mean of criterion | -0.07 |
| SD of predictor | 0.13 |
| SD of criterion | 0.41 |
| Covariance | -0.00 |
| r | -0.00 |
| b (slope, estimate of beta) | -0.00 |
| a (intercept, estimate of alpha) | -0.07 |
| Mean Square Error | 0.17 |
| DF error | 279 |
| t(b) | -0.03 |
| p(b) | 0.51 |
| t(a) | -0.15 |
| p(a) | 0.56 |
| Lowerbound of 95% confidence interval for beta | -0.38 |
| Upperbound of 95% confidence interval for beta | 0.37 |
| Lowerbound of 95% confidence interval for alpha | -0.96 |
| Upperbound of 95% confidence interval for alpha | 0.82 |
| Treynor index (mean / b) | 13.99 |
| Jensen alpha (a) | -0.07 |
| VaR(95%) | 0.04 |
| Expected Shortfall on VaR | 0.04 |
| VaR(95%) | 0.01 |
| Expected Shortfall on VaR | 0.03 |
| Mean | -0.48 |
| SD | 0.50 |
| Sharpe ratio (Glass type estimate) | -0.95 |
| Sharpe ratio (Hedges UMVUE) | -0.95 |
| df | 171 |
| t | -0.67 |
| p | 0.53 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -3.72 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.82 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -3.72 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 1.83 |
| Sortino ratio | -1.29 |
| Upside Potential Ratio | 5.84 |
| Upside part of mean | 2.16 |
| Downside part of mean | -2.64 |
| Upside SD | 0.34 |
| Downside SD | 0.37 |
| N nonnegative terms | 71 |
| N negative terms | 101 |
| N of observations | 172 |
| Mean of predictor | 0.03 |
| Mean of criterion | -0.48 |
| SD of predictor | 0.12 |
| SD of criterion | 0.50 |
| Covariance | -0.00 |
| r | -0.04 |
| b (slope, estimate of beta) | -0.17 |
| a (intercept, estimate of alpha) | -0.47 |
| Mean Square Error | 0.25 |
| DF error | 170 |
| t(b) | -0.53 |
| p(b) | 0.52 |
| t(a) | -0.66 |
| p(a) | 0.53 |
| Lowerbound of 95% confidence interval for beta | -0.81 |
| Upperbound of 95% confidence interval for beta | 0.46 |
| Lowerbound of 95% confidence interval for alpha | -1.87 |
| Upperbound of 95% confidence interval for alpha | 0.93 |
| Treynor index (mean / b) | 2.77 |
| Jensen alpha (a) | -0.47 |
| Mean | -0.60 |
| SD | 0.50 |
| Sharpe ratio (Glass type estimate) | -1.20 |
| Sharpe ratio (Hedges UMVUE) | -1.19 |
| df | 171 |
| t | -0.85 |
| p | 0.54 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -3.97 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.58 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -3.96 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 1.58 |
| Sortino ratio | -1.56 |
| Upside Potential Ratio | 5.44 |
| Upside part of mean | 2.11 |
| Downside part of mean | -2.71 |
| Upside SD | 0.32 |
| Downside SD | 0.39 |
| N nonnegative terms | 71 |
| N negative terms | 101 |
| N of observations | 172 |
| Mean of predictor | 0.02 |
| Mean of criterion | -0.60 |
| SD of predictor | 0.12 |
| SD of criterion | 0.50 |
| Covariance | -0.00 |
| r | -0.04 |
| b (slope, estimate of beta) | -0.15 |
| a (intercept, estimate of alpha) | -0.60 |
| Mean Square Error | 0.26 |
| DF error | 170 |
| t(b) | -0.46 |
| p(b) | 0.52 |
| t(a) | -0.84 |
| p(a) | 0.53 |
| Lowerbound of 95% confidence interval for beta | -0.79 |
| VAR (95 Confidence Intrvl) | 0.02 |
| Upperbound of 95% confidence interval for beta | 0.49 |
| Lowerbound of 95% confidence interval for alpha | -2.01 |
| Upperbound of 95% confidence interval for alpha | 0.81 |
| Treynor index (mean / b) | 4.06 |
| Jensen alpha (a) | -0.60 |
| VaR(95%) | 0.05 |
| Expected Shortfall on VaR | 0.06 |
| VaR(95%) | 0.02 |
| Expected Shortfall on VaR | 0.04 |
ORDER STATISTICS
| Number of observations | 9 |
|---|---|
| Minimum | 0.65 |
| Quartile 1 | 1.02 |
| Median | 1.06 |
| Quartile 3 | 1.14 |
| Maximum | 1.22 |
| Mean of quarter 1 | 0.85 |
| Mean of quarter 2 | 1.04 |
| Mean of quarter 3 | 1.11 |
| Mean of quarter 4 | 1.20 |
| Inter Quartile Range | 0.12 |
| Number outliers low | 1 |
| Percentage of outliers low | 0.11 |
| Mean of outliers low | 0.65 |
| 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) | -0.50 |
| VaR(95%) (regression method) | 0.42 |
| Expected Shortfall (regression method) | 0.53 |
| Number of observations | 281 |
| Minimum | 0.87 |
| Quartile 1 | 1.00 |
| Median | 1 |
| Quartile 3 | 1.00 |
| Maximum | 1.12 |
| Mean of quarter 1 | 0.98 |
| Mean of quarter 2 | 1.00 |
| Mean of quarter 3 | 1.00 |
| Mean of quarter 4 | 1.02 |
| Inter Quartile Range | 0.01 |
| Number outliers low | 32 |
| Percentage of outliers low | 0.11 |
| Mean of outliers low | 0.96 |
| Number of outliers high | 21 |
| Percentage of outliers high | 0.07 |
| Mean of outliers high | 1.04 |
| Extreme Value Index (moments method) | 0.49 |
| VaR(95%) (moments method) | 0.01 |
| Expected Shortfall (moments method) | 0.03 |
| Extreme Value Index (regression method) | 0.45 |
| VaR(95%) (regression method) | 0.02 |
| Expected Shortfall (regression method) | 0.05 |
| Number of observations | 172 |
| Minimum | 0.87 |
| Quartile 1 | 0.99 |
| Median | 1 |
| Quartile 3 | 1.00 |
| Maximum | 1.12 |
| Mean of quarter 1 | 0.97 |
| Mean of quarter 2 | 1.00 |
| Mean of quarter 3 | 1.00 |
| Mean of quarter 4 | 1.02 |
| Inter Quartile Range | 0.01 |
| Number outliers low | 19 |
| Percentage of outliers low | 0.11 |
| Mean of outliers low | 0.95 |
| Number of outliers high | 15 |
| Percentage of outliers high | 0.09 |
| Mean of outliers high | 1.05 |
| Extreme Value Index (moments method) | 0.25 |
| VaR(95%) (moments method) | 0.02 |
| Expected Shortfall (moments method) | 0.04 |
| Extreme Value Index (regression method) | 0.29 |
| VaR(95%) (regression method) | 0.03 |
| Expected Shortfall (regression method) | 0.06 |
DRAW DOWN STATISTICS
| Number of observations | 1 |
|---|---|
| Minimum | 0.44 |
| Quartile 1 | 0.44 |
| Median | 0.44 |
| Quartile 3 | 0.44 |
| Maximum | 0.44 |
| 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 | 19 |
| Minimum | 0.00 |
| Quartile 1 | 0.00 |
| Median | 0.00 |
| Quartile 3 | 0.01 |
| Maximum | 0.51 |
| Mean of quarter 1 | 0.00 |
| Mean of quarter 2 | 0.00 |
| Mean of quarter 3 | 0.01 |
| Mean of quarter 4 | 0.13 |
| Inter Quartile Range | 0.01 |
| Number outliers low | 0 |
| Percentage of outliers low | 0 |
| Mean of outliers low | 0 |
| Number of outliers high | 4 |
| Percentage of outliers high | 0.21 |
| Mean of outliers high | 0.16 |
| Extreme Value Index (moments method) | 1.03 |
| VaR(95%) (moments method) | 0.08 |
| Expected Shortfall (moments method) | 0 |
| Extreme Value Index (regression method) | 1.65 |
| VaR(95%) (regression method) | 0.18 |
| Expected Shortfall (regression method) | 0 |
| Number of observations | 9 |
| Minimum | 0.00 |
| Quartile 1 | 0.00 |
| Median | 0.00 |
| Quartile 3 | 0.01 |
| Maximum | 0.51 |
| Mean of quarter 1 | 0.00 |
| Mean of quarter 2 | 0.00 |
| Mean of quarter 3 | 0.01 |
| Mean of quarter 4 | 0.28 |
| Inter Quartile Range | 0.01 |
| Number outliers low | 0 |
| Percentage of outliers low | 0 |
| Mean of outliers low | 0 |
| Number of outliers high | 2 |
| Percentage of outliers high | 0.22 |
| Mean of outliers high | 0.28 |
| Extreme Value Index (moments method) | 1.23 |
| VaR(95%) (moments method) | 0.13 |
| Expected Shortfall (moments method) | 0 |
| Extreme Value Index (regression method) | 3.26 |
| VaR(95%) (regression method) | 1.41 |
| Expected Shortfall (regression method) | 0 |
| Max Equity Drawdown (num days) | 56 |
| Last 4 Months - Pcnt Negative | 0.0% |
COMBINED STATISTICS
| Annualized return (arithmetic extrapolation) | 0.14 |
|---|---|
| Compounded annual return (geometric extrapolation) | 0.14 |
| Calmar ratio (compounded annual return / max draw down) | 0.32 |
| Compounded annual return / average of 25% largest draw downs | 0 |
| Compounded annual return / Expected Shortfall lognormal | 0.44 |
| j156mfCOMBRisPar | 0 |
| j157mfCOMBRisPar | 0 |
| Annualized return (arithmetic extrapolation) | -0.06 |
| Compounded annual return (geometric extrapolation) | -0.06 |
| Calmar ratio (compounded annual return / max draw down) | -0.11 |
| Compounded annual return / average of 25% largest draw downs | -0.44 |
| Compounded annual return / Expected Shortfall lognormal | -1.27 |
| j313dfCOMBRisPar | 0 |
| j314dfCOMBRisPar | 0 |
| Annualized return (arithmetic extrapolation) | -0.51 |
| Compounded annual return (geometric extrapolation) | -0.45 |
| Calmar ratio (compounded annual return / max draw down) | -0.87 |
| Compounded annual return / average of 25% largest draw downs | -1.62 |
| Compounded annual return / Expected Shortfall lognormal | -7.96 |
Trading record
Placed 247 trades in real-life brokerage accounts.
| Symbol | Side | Qty | Opened | Closed | P/L |
|---|---|---|---|---|---|
| GBP/USD | short | 60 | May 18, 2015 | Jun 17, 2015 | $409 |
| GBP/JPY | long | 80 | May 11, 2015 | May 22, 2015 | $3 |
| EUR/CAD | short | 40 | May 20, 2015 | May 22, 2015 | ($204) |
| AUD/USD | long | 60 | May 12, 2015 | May 19, 2015 | ($33) |
| NZD/JPY | short | 60 | May 6, 2015 | May 13, 2015 | $2 |
| GBP/USD | long | 20 | May 12, 2015 | May 12, 2015 | $49 |
| AUD/USD | long | 60 | May 12, 2015 | May 12, 2015 | ($55) |
| GBP/USD | long | 20 | May 11, 2015 | May 12, 2015 | $232 |
| GBP/JPY | short | 40 | May 7, 2015 | May 7, 2015 | ($3) |
| EUR/GBP | long | 20 | May 6, 2015 | May 7, 2015 | ($65) |
| AUD/USD | short | 40 | May 5, 2015 | May 6, 2015 | ($621) |
| USD/JPY | long | 60 | May 5, 2015 | May 5, 2015 | ($2) |
| USD/CAD | long | 20 | May 4, 2015 | May 5, 2015 | ($143) |
| EUR/USD | short | 20 | May 5, 2015 | May 5, 2015 | ($170) |
| GBP/JPY | short | 40 | May 4, 2015 | May 5, 2015 | ($2) |
| EUR/USD | short | 60 | Apr 30, 2015 | May 1, 2015 | ($267) |
| EUR/USD | short | 20 | Apr 30, 2015 | Apr 30, 2015 | $177 |
| EUR/USD | short | 20 | Apr 29, 2015 | Apr 30, 2015 | ($210) |
| AUD/USD | short | 20 | Apr 28, 2015 | Apr 29, 2015 | ($215) |
| EUR/USD | short | 80 | Apr 29, 2015 | Apr 29, 2015 | ($456) |
| EUR/USD | short | 20 | Apr 29, 2015 | Apr 29, 2015 | $19 |
| EUR/USD | short | 20 | Apr 29, 2015 | Apr 29, 2015 | $15 |
| GBP/USD | short | 20 | Apr 28, 2015 | Apr 28, 2015 | $23 |
| EUR/USD | short | 40 | Apr 27, 2015 | Apr 27, 2015 | $37 |
| EUR/AUD | short | 20 | Apr 23, 2015 | Apr 27, 2015 | $63 |
| NZD/USD | short | 20 | Apr 26, 2015 | Apr 26, 2015 | ($17) |
| NZD/USD | short | 20 | Apr 22, 2015 | Apr 26, 2015 | $182 |
| EUR/USD | short | 20 | Apr 23, 2015 | Apr 23, 2015 | $14 |
| EUR/USD | short | 20 | Apr 23, 2015 | Apr 23, 2015 | $18 |
| EUR/USD | long | 20 | Apr 21, 2015 | Apr 21, 2015 | $24 |
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.