FX Alpha Signal
- hypothetical · Annual Return (Compounded)
- -0.5%
- Max Drawdown
- 75.2%
- Trades
- 213
- Win Trades
- 66.7%
- Profit Factor
- 1
- Win Months
- 43.8%
About this strategy
Welcome to FX ALPHA SIGNAL – The Best Way to Diversify Out of Stocks and into Currencies
Here are some Key Points to Consider:
- Subscribing to FX ALPHA SIGNAL is an excellent way to remain fully invested while quickly reducing your exposure to stocks, stock-related investments, and the overall movement of the stock market in general.
- FX ALPHA SIGNAL earns Above-Average Returns that are independent of the stock market.
- FX ALPHA SIGNAL has a negative Stock Market Correlation of (-0.08), a respectable Alpha of 5%, a Compounded Annual Return of over 15%, and a documented System Age of over > 1,500 days on the Collective2 platform.
- FX ALPHA SIGNAL is a Forex Specific System. It doesn’t trade futures, options, stocks, or anything else – just Forex.
- The FX ALPHA SIGNAL system employs a macro-based, sentiment-driven, two-to-four-week, position-building Swing Strategy that uses correlated hedging tactics (my specialty) to construct, hedge, size, and balance currency positions made up of the EURUSD, USDCHF, and EURCHF currency pairs.
I began development of this system shortly after graduate school (early 2000's) and have successfully used this system to trade through wars, market crashes, the 2008 global financial crisis, elections, central bank mishaps and manipulations, and a variety of economic anomalies and other “Black Swan” events. This is a solid system that has not only stood the test of time, but has also performed extremely well during stock market corrections, downturns, and bear markets. Simply put, FX ALPHA SIGNAL should be your go-to-system for diversifying out of stocks and into currencies. Subscribe Today!
Here are some Key Points to Consider:
- Subscribing to FX ALPHA SIGNAL is an excellent way to remain fully invested while quickly reducing your exposure to stocks, stock-related investments, and the overall movement of the stock market in general.
- FX ALPHA SIGNAL earns Above-Average Returns that are independent of the stock market.
- FX ALPHA SIGNAL has a negative Stock Market Correlation of (-0.08), a respectable Alpha of 5%, a Compounded Annual Return of over 15%, and a documented System Age of over > 1,500 days on the Collective2 platform.
- FX ALPHA SIGNAL is a Forex Specific System. It doesn’t trade futures, options, stocks, or anything else – just Forex.
- The FX ALPHA SIGNAL system employs a macro-based, sentiment-driven, two-to-four-week, position-building Swing Strategy that uses correlated hedging tactics (my specialty) to construct, hedge, size, and balance currency positions made up of the EURUSD, USDCHF, and EURCHF currency pairs.
I began development of this system shortly after graduate school (early 2000's) and have successfully used this system to trade through wars, market crashes, the 2008 global financial crisis, elections, central bank mishaps and manipulations, and a variety of economic anomalies and other “Black Swan” events. This is a solid system that has not only stood the test of time, but has also performed extremely well during stock market corrections, downturns, and bear markets. Simply put, FX ALPHA SIGNAL should be your go-to-system for diversifying out of stocks and into currencies. Subscribe Today!
Hypothetical Monthly Returns (includes fees/commissions)
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | YTD |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018 | 2.7 | 3.1 | -0.2 | 6.8 | 0.8 | -3.9 | -0.5 | 3.3 | -1.0 | 9.9 | 4.8 | 28.1 | |
| 2019 | -2.5 | 3.1 | 2.5 | -1.0 | 8.4 | -4.6 | 2.3 | 1.7 | 2.1 | -0.3 | -4.2 | 6.8 | 14.3 |
| 2020 | 3.7 | -1.3 | -3.1 | 1.8 | -1.2 | 8.1 | -0.5 | 2.1 | -7.6 | 1.8 | -2.5 | 4.8 | 5.3 |
| 2021 | 1.8 | -6.4 | -5.2 | 9.9 | -1.9 | -17.0 | 11.7 | -4.1 | 8.5 | 5.4 | 5.3 | 2.4 | 6.8 |
| 2022 | -3.7 | 2.3 | 3.5 | 10.9 | -3.0 | 14.1 | 6.6 | 2.1 | 18.0 | 0.1 | -1.3 | -0.2 | 58.5 |
| 2023 | -1.6 | 0.0 | -4.0 | 7.7 | -6.0 | -3.9 | -7.6 | -2.9 | 12.4 | 5.8 | -19.0 | -12.4 | -30.4 |
| 2024 | 20.4 | -3.8 | -0.7 | 10.9 | -12.1 | 9.0 | -7.0 | -12.4 | -5.8 | 29.8 | 14.6 | 9.4 | 52.4 |
| 2025 | 1.9 | -4.5 | -16.9 | -39.9 | -1.3 | -11.2 | -36.1 | 27.1 | 0.0 | 0.0 | 0.0 | 0.0 | -65.5 |
| 2026 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
Statistics
Overview
| Strategy began | 2/16/2018 |
|---|---|
| Suggested Minimum Capital | $250,000 |
| Age | 105 months |
| What it trades | Forex |
| # Trades | 213 |
| # Profitable | 142 |
| % Profitable | 66.7% |
| Avg trade duration | 26.6 days |
| Max peak-to-valley drawdown | 75.2% |
| drawdown period | Jan 10, 2025 - July 25, 2025 |
| Annual Return (Compounded) | -0.5% |
| Avg win | $9,752 |
| Avg loss | $19,585 |
Ratios
| W:L ratio | 1 |
|---|---|
| Sharpe Ratio | 0.08 |
| Sortino Ratio | 0.11 |
| Calmar Ratio | -0.01 |
CORRELATION STATISTICS
| Correlation to SP500 | -0.08 |
|---|---|
| Return Percent SP500 (cumu) during strategy life | 184.2% |
| Return of Strat Pcnt - Return of SP500 Pcnt (cumu) | -185.1% |
Return Statistics
| Ann Return (w trading costs) | -0.5% |
|---|---|
| Return Pcnt (Compound or Annual, age-based, NFA compliant) | -0.0% |
| Return Pcnt Since TOS Status | 0.0% |
| Ann Return (Compnd, No Fees) | -0.3% |
Slump
| Current Slump as Pcnt Equity | 217.1% |
|---|---|
| Current Slump, time of slump as pcnt of strategy life | 0.2% |
Instruments
| Percent Trades Forex | 1.0% |
|---|---|
| Percent Trades Futures | 0.0% |
| Percent Trades Options | 0.0% |
| Short Options - Percent Covered | 100.0% |
| Percent Trades Stocks | 0.0% |
Risk of Ruin (Monte-Carlo)
| Chance of 10% account loss | 61.5% |
|---|---|
| Chance of 20% account loss | 23.5% |
| Chance of 30% account loss | 9.0% |
| Chance of 40% account loss | 1.0% |
| Chance of 50% account loss | 0.0% |
| Chance of 60% account loss (Monte Carlo) | 0.0% |
| Chance of 70% account loss (Monte Carlo) | 0.0% |
| Chance of 80% account loss (Monte Carlo) | 0.0% |
| Chance of 90% account loss (Monte Carlo) | 0.0% |
Automation
| Percentage Signals Automated | 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 | $19,585 |
|---|---|
| Avg Win | $9,752 |
| # Winners | 142 |
| Sum Trade PL (losers) | $1,390,540 |
| Sum Trade PL (winners) | $1,384,743 |
| Num Months Winners | 47 |
| # Losers | 71 |
| % Winners | 66.7% |
Dividends
| Dividends Received in Model Acct | 0 |
|---|
Age
| Num Months filled monthly returns table | 105 |
|---|
Frequency
| Avg Position Time (mins) | 38287.68 |
|---|---|
| Avg Position Time (hrs) | 638.13 |
| Avg Trade Length | 26.60 |
| Last Trade Ago | 406 |
Leverage
| Daily leverage (average) | 9.48 |
|---|---|
| Daily leverage (max) | 36.96 |
Regression
| Alpha | 0.01 |
|---|---|
| Beta | -0.13 |
| Treynor Index | -0.06 |
Maximum Adverse Excursion (MAE)
| MAE:Equity, average, all trades | 0.03 |
|---|---|
| MAE:Equity, 95th Percentile Value for this strat | 0 |
| 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 | -100.25 |
| MAE:PL (avg, all trades) | -0.50 |
| MAE:PL (avg, losing trades) | — |
| MAE:PL - Losing Trades - this strat Percentile of All Strats | 65.48 |
| MAE:PL - Winning Trades - this strat Percentile of All Strats | 24.13 |
| MAE:PL (avg, winning trades) | — |
| MAE:PL - worst single value for strategy | — |
| Avg(MAE) / Avg(PL) - Winning trades | 0.51 |
| Avg(MAE) / Avg(PL) - Losing trades | -1.30 |
| Hold-and-Hope Ratio | -0.01 |
RATIO STATISTICS
| Mean | 0.03 |
|---|---|
| SD | 0.31 |
| Sharpe ratio (Glass type estimate) | 0.11 |
| Sharpe ratio (Hedges UMVUE) | 0.11 |
| df | 67 |
| t | 0.26 |
| p | 0.40 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.71 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.93 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.72 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.93 |
| Sortino ratio | 0.13 |
| Upside Potential Ratio | 1.22 |
| Upside part of mean | 0.33 |
| Downside part of mean | -0.29 |
| Upside SD | 0.15 |
| Downside SD | 0.27 |
| N nonnegative terms | 41 |
| N negative terms | 27 |
| N of observations | 68 |
| Mean of predictor | 0.15 |
| Mean of criterion | 0.03 |
| SD of predictor | 0.20 |
| SD of criterion | 0.31 |
| Covariance | -0.01 |
| r | -0.20 |
| b (slope, estimate of beta) | -0.31 |
| a (intercept, estimate of alpha) | 0.08 |
| Mean Square Error | 0.09 |
| DF error | 66 |
| t(b) | -1.67 |
| p(b) | 0.95 |
| t(a) | 0.61 |
| p(a) | 0.27 |
| Lowerbound of 95% confidence interval for beta | -0.68 |
| Upperbound of 95% confidence interval for beta | 0.06 |
| Lowerbound of 95% confidence interval for alpha | -0.18 |
| Upperbound of 95% confidence interval for alpha | 0.34 |
| Treynor index (mean / b) | -0.11 |
| Jensen alpha (a) | 0.08 |
| Mean | -0.03 |
| SD | 0.40 |
| Sharpe ratio (Glass type estimate) | -0.08 |
| Sharpe ratio (Hedges UMVUE) | -0.08 |
| df | 67 |
| t | -0.19 |
| p | 0.58 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.90 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.74 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.90 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.74 |
| Sortino ratio | -0.09 |
| Upside Potential Ratio | 0.85 |
| Upside part of mean | 0.31 |
| Downside part of mean | -0.35 |
| Upside SD | 0.15 |
| Downside SD | 0.37 |
| N nonnegative terms | 41 |
| N negative terms | 27 |
| N of observations | 68 |
| Mean of predictor | 0.13 |
| Mean of criterion | -0.03 |
| SD of predictor | 0.20 |
| SD of criterion | 0.40 |
| Covariance | -0.02 |
| r | -0.20 |
| b (slope, estimate of beta) | -0.39 |
| a (intercept, estimate of alpha) | 0.02 |
| Mean Square Error | 0.16 |
| DF error | 66 |
| t(b) | -1.62 |
| p(b) | 0.95 |
| t(a) | 0.11 |
| p(a) | 0.46 |
| Lowerbound of 95% confidence interval for beta | -0.88 |
| Upperbound of 95% confidence interval for beta | 0.09 |
| Lowerbound of 95% confidence interval for alpha | -0.32 |
| Upperbound of 95% confidence interval for alpha | 0.36 |
| Treynor index (mean / b) | 0.08 |
| Jensen alpha (a) | 0.02 |
| VaR(95%) | 0.18 |
| Expected Shortfall on VaR | 0.21 |
| VaR(95%) | 0.05 |
| Expected Shortfall on VaR | 0.11 |
| Mean | 0.05 |
| SD | 0.40 |
| Sharpe ratio (Glass type estimate) | 0.13 |
| Sharpe ratio (Hedges UMVUE) | 0.13 |
| df | 1505 |
| t | 0.32 |
| p | 0.49 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.69 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.95 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.69 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.95 |
| Sortino ratio | 0.17 |
| Upside Potential Ratio | 4.39 |
| Upside part of mean | 1.35 |
| Downside part of mean | -1.29 |
| Upside SD | 0.26 |
| Downside SD | 0.31 |
| N nonnegative terms | 782 |
| N negative terms | 724 |
| N of observations | 1506 |
| Mean of predictor | 0.18 |
| Mean of criterion | 0.05 |
| SD of predictor | 0.23 |
| SD of criterion | 0.40 |
| Covariance | -0.01 |
| r | -0.12 |
| b (slope, estimate of beta) | -0.21 |
| a (intercept, estimate of alpha) | 0.09 |
| Mean Square Error | 0.16 |
| DF error | 1504 |
| t(b) | -4.67 |
| p(b) | 0.56 |
| t(a) | 0.54 |
| p(a) | 0.49 |
| Lowerbound of 95% confidence interval for beta | -0.29 |
| Upperbound of 95% confidence interval for beta | -0.12 |
| Lowerbound of 95% confidence interval for alpha | -0.24 |
| Upperbound of 95% confidence interval for alpha | 0.42 |
| Treynor index (mean / b) | -0.26 |
| Jensen alpha (a) | 0.09 |
| Mean | -0.03 |
| SD | 0.42 |
| Sharpe ratio (Glass type estimate) | -0.08 |
| Sharpe ratio (Hedges UMVUE) | -0.08 |
| df | 1505 |
| t | -0.18 |
| p | 0.50 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.89 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 0.74 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.89 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.74 |
| Sortino ratio | -0.09 |
| Upside Potential Ratio | 3.82 |
| Upside part of mean | 1.32 |
| Downside part of mean | -1.35 |
| Upside SD | 0.24 |
| Downside SD | 0.34 |
| N nonnegative terms | 782 |
| N negative terms | 724 |
| N of observations | 1506 |
| Mean of predictor | 0.15 |
| Mean of criterion | -0.03 |
| SD of predictor | 0.23 |
| SD of criterion | 0.42 |
| Covariance | -0.01 |
| r | -0.12 |
| b (slope, estimate of beta) | -0.21 |
| a (intercept, estimate of alpha) | 0.00 |
| Mean Square Error | 0.17 |
| DF error | 1504 |
| t(b) | -4.58 |
| p(b) | 0.56 |
| t(a) | 0.00 |
| p(a) | 0.50 |
| Lowerbound of 95% confidence interval for beta | -0.30 |
| Upperbound of 95% confidence interval for beta | -0.12 |
| Lowerbound of 95% confidence interval for alpha | -0.34 |
| Upperbound of 95% confidence interval for alpha | 0.34 |
| Treynor index (mean / b) | 0.15 |
| Jensen alpha (a) | 0.00 |
| VaR(95%) | 0.04 |
| Expected Shortfall on VaR | 0.05 |
| VaR(95%) | 0.01 |
| Expected Shortfall on VaR | 0.02 |
| Mean | -1.14 |
| SD | 1.22 |
| Sharpe ratio (Glass type estimate) | -0.94 |
| Sharpe ratio (Hedges UMVUE) | -0.93 |
| df | 130 |
| t | -0.66 |
| p | 0.53 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -3.71 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.84 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -3.70 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 1.84 |
| Sortino ratio | -1.20 |
| Upside Potential Ratio | 4.65 |
| Upside part of mean | 4.43 |
| Downside part of mean | -5.57 |
| Upside SD | 0.76 |
| Downside SD | 0.95 |
| N nonnegative terms | 48 |
| N negative terms | 83 |
| N of observations | 131 |
| Mean of predictor | 1.21 |
| Mean of criterion | -1.14 |
| SD of predictor | 0.36 |
| SD of criterion | 1.22 |
| Covariance | -0.08 |
| r | -0.19 |
| b (slope, estimate of beta) | -0.66 |
| a (intercept, estimate of alpha) | -0.34 |
| Mean Square Error | 1.44 |
| DF error | 129 |
| t(b) | -2.25 |
| p(b) | 0.62 |
| t(a) | -0.20 |
| p(a) | 0.51 |
| Lowerbound of 95% confidence interval for beta | -1.24 |
| Upperbound of 95% confidence interval for beta | -0.08 |
| Lowerbound of 95% confidence interval for alpha | -3.77 |
| Upperbound of 95% confidence interval for alpha | 3.09 |
| Treynor index (mean / b) | 1.73 |
| Jensen alpha (a) | -0.34 |
| Mean | -1.93 |
| SD | 1.28 |
| Sharpe ratio (Glass type estimate) | -1.50 |
| Sharpe ratio (Hedges UMVUE) | -1.49 |
| df | 130 |
| t | -1.06 |
| p | 0.55 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -4.28 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.28 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -4.27 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 1.28 |
| Sortino ratio | -1.77 |
| Upside Potential Ratio | 3.84 |
| Upside part of mean | 4.18 |
| Downside part of mean | -6.11 |
| Upside SD | 0.68 |
| Downside SD | 1.09 |
| N nonnegative terms | 48 |
| N negative terms | 83 |
| N of observations | 131 |
| Mean of predictor | 1.14 |
| Mean of criterion | -1.93 |
| SD of predictor | 0.36 |
| SD of criterion | 1.28 |
| Covariance | -0.09 |
| r | -0.19 |
| b (slope, estimate of beta) | -0.67 |
| a (intercept, estimate of alpha) | -1.17 |
| Mean Square Error | 1.60 |
| DF error | 129 |
| t(b) | -2.16 |
| p(b) | 0.62 |
| t(a) | -0.64 |
| p(a) | 0.54 |
| Lowerbound of 95% confidence interval for beta | -1.27 |
| VAR (95 Confidence Intrvl) | 0.04 |
| Upperbound of 95% confidence interval for beta | -0.06 |
| Lowerbound of 95% confidence interval for alpha | -4.78 |
| Upperbound of 95% confidence interval for alpha | 2.44 |
| Treynor index (mean / b) | 2.90 |
| Jensen alpha (a) | -1.17 |
| VaR(95%) | 0.13 |
| Expected Shortfall on VaR | 0.16 |
| VaR(95%) | 0.06 |
| Expected Shortfall on VaR | 0.12 |
ORDER STATISTICS
| Number of observations | 68 |
|---|---|
| Minimum | 0.44 |
| Quartile 1 | 0.98 |
| Median | 1.02 |
| Quartile 3 | 1.05 |
| Maximum | 1.17 |
| Mean of quarter 1 | 0.91 |
| Mean of quarter 2 | 1.00 |
| Mean of quarter 3 | 1.03 |
| Mean of quarter 4 | 1.08 |
| Inter Quartile Range | 0.06 |
| Number outliers low | 2 |
| Percentage of outliers low | 0.03 |
| Mean of outliers low | 0.63 |
| Number of outliers high | 1 |
| Percentage of outliers high | 0.01 |
| Mean of outliers high | 1.17 |
| Extreme Value Index (moments method) | 0.61 |
| VaR(95%) (moments method) | 0.07 |
| Expected Shortfall (moments method) | 0.22 |
| Extreme Value Index (regression method) | 0.51 |
| VaR(95%) (regression method) | 0.09 |
| Expected Shortfall (regression method) | 0.23 |
| Number of observations | 1506 |
| Minimum | 0.67 |
| Quartile 1 | 1.00 |
| Median | 1.00 |
| Quartile 3 | 1.01 |
| Maximum | 1.37 |
| 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 | 90 |
| Percentage of outliers low | 0.06 |
| Mean of outliers low | 0.95 |
| Number of outliers high | 79 |
| Percentage of outliers high | 0.05 |
| Mean of outliers high | 1.05 |
| Extreme Value Index (moments method) | 0.74 |
| VaR(95%) (moments method) | 0.02 |
| Expected Shortfall (moments method) | 0.07 |
| Extreme Value Index (regression method) | 0.62 |
| VaR(95%) (regression method) | 0.01 |
| Expected Shortfall (regression method) | 0.04 |
| Number of observations | 131 |
| Minimum | 0.67 |
| Quartile 1 | 0.99 |
| Median | 1 |
| Quartile 3 | 1.01 |
| Maximum | 1.37 |
| Mean of quarter 1 | 0.92 |
| Mean of quarter 2 | 1.00 |
| Mean of quarter 3 | 1.00 |
| Mean of quarter 4 | 1.07 |
| Inter Quartile Range | 0.02 |
| Number outliers low | 19 |
| Percentage of outliers low | 0.15 |
| Mean of outliers low | 0.87 |
| Number of outliers high | 23 |
| Percentage of outliers high | 0.18 |
| Mean of outliers high | 1.09 |
| Extreme Value Index (moments method) | 0.85 |
| VaR(95%) (moments method) | 0.07 |
| Expected Shortfall (moments method) | 0.50 |
| Extreme Value Index (regression method) | 0.56 |
| VaR(95%) (regression method) | 0.07 |
| Expected Shortfall (regression method) | 0.20 |
DRAW DOWN STATISTICS
| Number of observations | 12 |
|---|---|
| Minimum | 0.01 |
| Quartile 1 | 0.02 |
| Median | 0.03 |
| Quartile 3 | 0.07 |
| Maximum | 0.64 |
| Mean of quarter 1 | 0.01 |
| Mean of quarter 2 | 0.03 |
| Mean of quarter 3 | 0.04 |
| Mean of quarter 4 | 0.32 |
| Inter Quartile Range | 0.05 |
| Number outliers low | 0 |
| Percentage of outliers low | 0 |
| Mean of outliers low | 0 |
| Number of outliers high | 2 |
| Percentage of outliers high | 0.17 |
| Mean of outliers high | 0.44 |
| Extreme Value Index (moments method) | -1.73 |
| VaR(95%) (moments method) | 0.29 |
| Expected Shortfall (moments method) | 0.30 |
| Extreme Value Index (regression method) | 0.61 |
| VaR(95%) (regression method) | 0.62 |
| Expected Shortfall (regression method) | 1.96 |
| Number of observations | 55 |
| Minimum | 0.00 |
| Quartile 1 | 0.01 |
| Median | 0.01 |
| Quartile 3 | 0.04 |
| Maximum | 0.75 |
| Mean of quarter 1 | 0.00 |
| Mean of quarter 2 | 0.01 |
| Mean of quarter 3 | 0.03 |
| Mean of quarter 4 | 0.16 |
| Inter Quartile Range | 0.04 |
| Number outliers low | 0 |
| Percentage of outliers low | 0 |
| Mean of outliers low | 0 |
| Number of outliers high | 5 |
| Percentage of outliers high | 0.09 |
| Mean of outliers high | 0.32 |
| Extreme Value Index (moments method) | 0.71 |
| VaR(95%) (moments method) | 0.17 |
| Expected Shortfall (moments method) | 0.61 |
| Extreme Value Index (regression method) | 0.95 |
| VaR(95%) (regression method) | 0.17 |
| Expected Shortfall (regression method) | 3.23 |
| Number of observations | 3 |
| Minimum | 0.15 |
| Quartile 1 | 0.24 |
| Median | 0.33 |
| Quartile 3 | 0.54 |
| Maximum | 0.75 |
| Mean of quarter 1 | 0.15 |
| Mean of quarter 2 | 0.33 |
| Mean of quarter 3 | 0 |
| Mean of quarter 4 | 0.75 |
| Inter Quartile Range | 0.30 |
| 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? | -444797408 |
| Max Equity Drawdown (num days) | 196 |
| Last 4 Months - Pcnt Negative | 0.0% |
COMBINED STATISTICS
| Annualized return (arithmetic extrapolation) | -0.00 |
|---|---|
| Compounded annual return (geometric extrapolation) | -0.00 |
| Calmar ratio (compounded annual return / max draw down) | -0.01 |
| Compounded annual return / average of 25% largest draw downs | -0.01 |
| Compounded annual return / Expected Shortfall lognormal | -0.02 |
| j156mfCOMBRisPar | 0 |
| j157mfCOMBRisPar | 0 |
| Annualized return (arithmetic extrapolation) | -0.00 |
| Compounded annual return (geometric extrapolation) | -0.00 |
| Calmar ratio (compounded annual return / max draw down) | -0.01 |
| Compounded annual return / average of 25% largest draw downs | -0.03 |
| Compounded annual return / Expected Shortfall lognormal | -0.08 |
| j313dfCOMBRisPar | 0 |
| j314dfCOMBRisPar | 0 |
| Annualized return (arithmetic extrapolation) | -1.23 |
| Compounded annual return (geometric extrapolation) | -0.85 |
| Calmar ratio (compounded annual return / max draw down) | -1.14 |
| Compounded annual return / average of 25% largest draw downs | -1.14 |
| Compounded annual return / Expected Shortfall lognormal | -5.42 |
Trading record
| Symbol | Side | Qty | Opened | Closed | P/L |
|---|---|---|---|---|---|
| EUR/CHF | short | 7940 | Jun 28, 2023 | Aug 21, 2025 | $108,107 |
| USD/CHF | long | 7540 | Jun 27, 2023 | Aug 21, 2025 | ($375,291) |
| EUR/USD | long | 9250 | Jun 27, 2023 | Aug 24, 2023 | ($85,230) |
| EUR/CHF | long | 490 | Jun 26, 2023 | Jun 26, 2023 | $1,351 |
| EUR/CHF | long | 4560 | Jun 8, 2023 | Jun 19, 2023 | $22,379 |
| USD/CHF | short | 5620 | May 24, 2023 | Jun 19, 2023 | $53,234 |
| EUR/USD | short | 7430 | May 24, 2023 | Jun 19, 2023 | ($89,873) |
| EUR/CHF | long | 330 | Jun 7, 2023 | Jun 8, 2023 | ($1,724) |
| EUR/CHF | long | 300 | May 31, 2023 | Jun 2, 2023 | ($175) |
| EUR/CHF | short | 13560 | Apr 11, 2023 | May 24, 2023 | $29,244 |
| EUR/USD | long | 14380 | Mar 15, 2023 | May 24, 2023 | ($22,820) |
| USD/CHF | long | 11380 | Mar 14, 2023 | May 24, 2023 | $2,774 |
| EUR/CHF | short | 3990 | Mar 14, 2023 | Apr 11, 2023 | ($2,839) |
| EUR/USD | long | 320 | Mar 14, 2023 | Mar 15, 2023 | ($6,384) |
| EUR/CHF | long | 700 | Mar 9, 2023 | Mar 14, 2023 | ($7,702) |
| EUR/CHF | long | 8330 | Feb 21, 2023 | Mar 6, 2023 | $13,151 |
| USD/CHF | short | 7010 | Feb 9, 2023 | Mar 6, 2023 | ($9,848) |
| EUR/USD | short | 7520 | Feb 9, 2023 | Mar 6, 2023 | ($16,117) |
| EUR/CHF | long | 2760 | Feb 9, 2023 | Feb 21, 2023 | ($73) |
| EUR/CHF | short | 18710 | Nov 11, 2022 | Feb 8, 2023 | ($72,152) |
| USD/CHF | long | 17430 | Nov 11, 2022 | Feb 8, 2023 | ($101,270) |
| EUR/USD | long | 22290 | Nov 10, 2022 | Feb 8, 2023 | $169,327 |
| USD/CHF | long | 1260 | Nov 10, 2022 | Nov 11, 2022 | ($29,882) |
| EUR/CHF | short | 910 | Nov 10, 2022 | Nov 11, 2022 | $5,653 |
| EUR/USD | short | 3220 | Nov 4, 2022 | Nov 10, 2022 | ($46,927) |
| EUR/CHF | long | 4110 | Nov 1, 2022 | Nov 10, 2022 | ($22,309) |
| USD/CHF | short | 2970 | Nov 1, 2022 | Nov 10, 2022 | $89,104 |
| EUR/USD | short | 1810 | Nov 1, 2022 | Nov 4, 2022 | ($16,981) |
| USD/CHF | long | 1020 | Oct 31, 2022 | Nov 1, 2022 | ($1,406) |
| EUR/CHF | short | 510 | Oct 31, 2022 | Oct 31, 2022 | $688 |
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.