ARK Futures
- hypothetical · Annual Return (Compounded)
- -5.5%
- Max Drawdown
- 87.5%
- Trades
- 249
- Win Trades
- 90.0%
- Profit Factor
- 1.10
- Win Months
- 47.4%
About this strategy
I've been involved in online trading since 2006, developing a manual trading system based on advanced mathematical algorithms. My system generates precise entry and exit signals, incorporating analysis of intraday bulletins from currency futures of the Chicago Mercantile Exchange (CME Group), including British Pound, Euro FX, Australian Dollar, Japanese Yen, Swiss Franc, and Canadian Dollar futures. I trade G10 CME Group currency futures, both trending and reversal patterns, with every trade protected by a stop loss. This system is not a martingale strategy. My long-term goal is to open my own hedge fund.
2) A Journey of Continuous Improvement
My system has undergone extensive refinement over the years. I've focused significantly on addressing past mistakes, drawing insights from psychology to enhance my decision-making processes. This meticulous work has led to the identification and correction of bugs, resulting in a more reliable and stable system. I've also optimized my algorithms, retaining only the most effective ones, and implemented robust risk management strategies. I have complete confidence in my system.
I strive to become a disciplined trader. I set strict rules for the maximum leverage, average leverage level, and maximum drawdown each month, publishing these risk management goals at least once a month. This is my commitment to all my subscribers, ensuring you can invest with peace of mind.
3) Understanding Past Performance and Lessons Learned
I want to be transparent about my trading history. This isn't my first venture here; I've had periods of significant success, including from February 2018 to July 2019, when I managed approximately $7 million USD with around 100 paid subscribers. In 2018, my system showed an impressive 88% profit. However, I observed a pattern: when profits were more moderate (10-25% per year) and drawdowns low, clients tended to leave. In 2019, despite a 16% profit, 95% of my clients departed.
I learned that strategies promising high profits often lead to larger drawdowns, creating a "vicious circle." This realization, combined with client preferences for aggressive strategies, unfortunately led me to take on more risk with my system, resulting in some setbacks.
For example, from November 2021 to October 2022, my ARK system initially saw excellent results and client growth, with over 250% profit in six months and $15 million USD under management with 100+ subscribers. However, when I shifted to a more conservative (less risky) approach, the subscriber count dropped significantly. When I resumed more aggressive trading, it led to a substantial drawdown from a highly leveraged USD/JPY short position. While the market idea was correct (selling at 145-147-150 with targets at 135-133-131), poor execution was entirely my fault, and I take full responsibility.
More recently, in 2024, my M8888 system achieved an excellent 420% profit with a 42% maximum drawdown. However, this aggressive approach predictably led to a large drawdown, with current profits at 230% and a 70% drawdown. I understand that such results are generally unattractive. I now prioritize finding an adequate balance between risk and profit.
You can review the archives of my past systems from 2018-2024 on my website.
______________________________________________________________________________________________________________
Important Recommendations for Copying My System
Every month, I establish and adhere to strict risk parameters. For your peace of mind and based on your risk preferences, I strongly recommend setting your risk limit to no more than 10-15-20% after subscribing to the system.
Please keep the following in mind when considering or copying my system, "ARK Futures":
1) Do not idealize results: Consistent monthly gains over long periods are unrealistic. Trading is not a bank deposit. Expect periods of drawdown or stagnation, as market cycles are normal.
2) Diversify your investments: Never put all your capital into a single strategy.
3)Monitor regularly: Continuously monitor the results, ideally several times a week. This will help you stay calm and informed.
4) Profitability is non-linear: Past performance does not guarantee future results.
5) Manage your emotions: There's a stop loss and risk limit for every trade. Excessive anxiety about market movements or perceived errors will only hinder your results. I do not offer psychological counseling.
6) Periods of inactivity are normal: It's common to have several trading sessions or weeks with no activity. Constant market presence doesn't equate to better profits; sometimes, a few strong trading sessions can define an entire month's performance. Patience and waiting for clear signals are key.
7) Understand the risks: There's a possibility of losing some or all of your investment. Only invest capital you can afford to lose. I advise seeking independent financial advice if you have any doubts about the risks associated with foreign exchange trading.
Currencies
Hypothetical Monthly Returns (includes fees/commissions)
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | YTD |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025 | 34.7 | 11.6 | 13.0 | 14.4 | 5.3 | 1.1 | 14.0 | 6.0 | -5.2 | -53.9 | -39.0 | 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 | 1/10/2025 |
|---|---|
| Suggested Minimum Capital | $34,425 |
| Age | 20 months |
| What it trades | Futures |
| # Trades | 249 |
| # Profitable | 224 |
| % Profitable | 90.0% |
| Avg trade duration | 1.7 days |
| Max peak-to-valley drawdown | 87.5% |
| drawdown period | Sept 17, 2025 - Nov 26, 2025 |
| Annual Return (Compounded) | -5.5% |
| Avg win | $328 |
| Avg loss | $2,782 |
Ratios
| W:L ratio | 1.06 |
|---|---|
| Sharpe Ratio | 0.23 |
| Sortino Ratio | 0.32 |
| Calmar Ratio | 0.13 |
CORRELATION STATISTICS
| Correlation to SP500 | 0.01 |
|---|---|
| Return Percent SP500 (cumu) during strategy life | 31.3% |
| Return of Strat Pcnt - Return of SP500 Pcnt (cumu) | -40.8% |
Return Statistics
| Ann Return (w trading costs) | -5.5% |
|---|---|
| Return Pcnt (Compound or Annual, age-based, NFA compliant) | -0.1% |
| Return Pcnt Since TOS Status | 0.0% |
| Ann Return (Compnd, No Fees) | 6.9% |
Slump
| Current Slump as Pcnt Equity | 188.7% |
|---|---|
| Current Slump, time of slump as pcnt of strategy life | 0.6% |
Instruments
| Percent Trades Forex | 0.0% |
|---|---|
| Percent Trades Futures | 1.0% |
| 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 | 81.0% |
|---|---|
| Chance of 20% account loss | 58.0% |
| Chance of 30% account loss | 39.0% |
| Chance of 40% account loss | 16.5% |
| Chance of 50% account loss | 6.5% |
| Chance of 60% account loss (Monte Carlo) | 0.5% |
| 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) | 659 |
| Popularity (7 days, Percentile 1000 scale) | 295 |
Trading Style
| Any stock shorts? 0/1 | 0 |
|---|
Trades-Own-System Certification
| Trades Own System? | 0 |
|---|---|
| TOS percent | 0.0% |
Win / Loss
| Avg Loss | $2,782 |
|---|---|
| Avg Win | $328 |
| # Winners | 224 |
| Sum Trade PL (losers) | $69,555 |
| Sum Trade PL (winners) | $73,522 |
| Num Months Winners | 9 |
| # Losers | 25 |
| % Winners | 90.0% |
Dividends
| Dividends Received in Model Acct | 0 |
|---|
Age
| Num Months filled monthly returns table | 20 |
|---|
Frequency
| Avg Position Time (mins) | 2519.12 |
|---|---|
| Avg Position Time (hrs) | 41.99 |
| Avg Trade Length | 1.70 |
| Last Trade Ago | 246 |
Leverage
| Daily leverage (average) | 6.51 |
|---|---|
| Daily leverage (max) | 38.44 |
Regression
| Alpha | 0.06 |
|---|---|
| Beta | 0.05 |
| Treynor Index | 1.08 |
Maximum Adverse Excursion (MAE)
| MAE:Equity, average, all trades | 0.01 |
|---|---|
| MAE:Equity, 95th Percentile Value for this strat | 0.12 |
| MAE:Equity, average, losing trades | 0.07 |
| 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 | 103.26 |
| MAE:PL (avg, all trades) | 1 |
| MAE:PL (avg, losing trades) | — |
| MAE:PL - Losing Trades - this strat Percentile of All Strats | 69.80 |
| MAE:PL - Winning Trades - this strat Percentile of All Strats | 40.44 |
| MAE:PL (avg, winning trades) | — |
| MAE:PL - worst single value for strategy | — |
| Avg(MAE) / Avg(PL) - Winning trades | 1.43 |
| Avg(MAE) / Avg(PL) - Losing trades | -1.24 |
| Hold-and-Hope Ratio | 0.01 |
RATIO STATISTICS
| Mean | 0.43 |
|---|---|
| SD | 0.79 |
| Sharpe ratio (Glass type estimate) | 0.54 |
| Sharpe ratio (Hedges UMVUE) | 0.50 |
| df | 11 |
| t | 0.54 |
| p | 0.30 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.45 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.50 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -1.47 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 2.47 |
| Sortino ratio | 0.77 |
| Upside Potential Ratio | 2.08 |
| Upside part of mean | 1.16 |
| Downside part of mean | -0.73 |
| Upside SD | 0.53 |
| Downside SD | 0.56 |
| N nonnegative terms | 8 |
| N negative terms | 4 |
| N of observations | 12 |
| Mean of predictor | 0.25 |
| Mean of criterion | 0.43 |
| SD of predictor | 0.16 |
| SD of criterion | 0.79 |
| Covariance | -0.01 |
| r | -0.04 |
| b (slope, estimate of beta) | -0.20 |
| a (intercept, estimate of alpha) | 0.48 |
| Mean Square Error | 0.69 |
| DF error | 10 |
| t(b) | -0.13 |
| p(b) | 0.55 |
| t(a) | 0.52 |
| p(a) | 0.31 |
| Lowerbound of 95% confidence interval for beta | -3.59 |
| Upperbound of 95% confidence interval for beta | 3.19 |
| Lowerbound of 95% confidence interval for alpha | -1.55 |
| Upperbound of 95% confidence interval for alpha | 2.50 |
| Treynor index (mean / b) | -2.13 |
| Jensen alpha (a) | 0.48 |
| Mean | 0.07 |
| SD | 0.94 |
| Sharpe ratio (Glass type estimate) | 0.08 |
| Sharpe ratio (Hedges UMVUE) | 0.07 |
| df | 11 |
| t | 0.08 |
| p | 0.47 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.88 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.04 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -1.89 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 2.03 |
| Sortino ratio | 0.09 |
| Upside Potential Ratio | 1.35 |
| Upside part of mean | 1.04 |
| Downside part of mean | -0.97 |
| Upside SD | 0.46 |
| Downside SD | 0.77 |
| N nonnegative terms | 8 |
| N negative terms | 4 |
| N of observations | 12 |
| Mean of predictor | 0.23 |
| Mean of criterion | 0.07 |
| SD of predictor | 0.16 |
| SD of criterion | 0.94 |
| Covariance | -0.00 |
| r | -0.02 |
| b (slope, estimate of beta) | -0.10 |
| a (intercept, estimate of alpha) | 0.10 |
| Mean Square Error | 0.96 |
| DF error | 10 |
| t(b) | -0.06 |
| p(b) | 0.52 |
| t(a) | 0.09 |
| p(a) | 0.47 |
| Lowerbound of 95% confidence interval for beta | -4.12 |
| Upperbound of 95% confidence interval for beta | 3.91 |
| Lowerbound of 95% confidence interval for alpha | -2.28 |
| Upperbound of 95% confidence interval for alpha | 2.47 |
| Treynor index (mean / b) | -0.70 |
| Jensen alpha (a) | 0.10 |
| VaR(95%) | 0.35 |
| Expected Shortfall on VaR | 0.42 |
| VaR(95%) | 0.10 |
| Expected Shortfall on VaR | 0.24 |
| Mean | 0.39 |
| SD | 0.80 |
| Sharpe ratio (Glass type estimate) | 0.49 |
| Sharpe ratio (Hedges UMVUE) | 0.49 |
| df | 264 |
| t | 0.49 |
| p | 0.31 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.46 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.44 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -1.46 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 2.44 |
| Sortino ratio | 0.70 |
| Upside Potential Ratio | 5.94 |
| Upside part of mean | 3.33 |
| Downside part of mean | -2.94 |
| Upside SD | 0.57 |
| Downside SD | 0.56 |
| N nonnegative terms | 151 |
| N negative terms | 114 |
| N of observations | 265 |
| Mean of predictor | 0.27 |
| Mean of criterion | 0.39 |
| SD of predictor | 0.21 |
| SD of criterion | 0.80 |
| Covariance | -0.01 |
| r | -0.05 |
| b (slope, estimate of beta) | -0.19 |
| a (intercept, estimate of alpha) | 0.44 |
| Mean Square Error | 0.64 |
| DF error | 263 |
| t(b) | -0.81 |
| p(b) | 0.79 |
| t(a) | 0.56 |
| p(a) | 0.29 |
| Lowerbound of 95% confidence interval for beta | -0.66 |
| Upperbound of 95% confidence interval for beta | 0.28 |
| Lowerbound of 95% confidence interval for alpha | -1.13 |
| Upperbound of 95% confidence interval for alpha | 2.01 |
| Treynor index (mean / b) | -2.03 |
| Jensen alpha (a) | 0.44 |
| Mean | 0.07 |
| SD | 0.81 |
| Sharpe ratio (Glass type estimate) | 0.09 |
| Sharpe ratio (Hedges UMVUE) | 0.09 |
| df | 264 |
| t | 0.09 |
| p | 0.46 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -1.86 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.04 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -1.86 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 2.04 |
| Sortino ratio | 0.12 |
| Upside Potential Ratio | 5.20 |
| Upside part of mean | 3.19 |
| Downside part of mean | -3.12 |
| Upside SD | 0.52 |
| Downside SD | 0.61 |
| N nonnegative terms | 151 |
| N negative terms | 114 |
| N of observations | 265 |
| Mean of predictor | 0.25 |
| Mean of criterion | 0.07 |
| SD of predictor | 0.20 |
| SD of criterion | 0.81 |
| Covariance | -0.01 |
| r | -0.05 |
| b (slope, estimate of beta) | -0.18 |
| a (intercept, estimate of alpha) | 0.12 |
| Mean Square Error | 0.65 |
| DF error | 263 |
| t(b) | -0.75 |
| p(b) | 0.77 |
| t(a) | 0.14 |
| p(a) | 0.44 |
| Lowerbound of 95% confidence interval for beta | -0.66 |
| Upperbound of 95% confidence interval for beta | 0.30 |
| Lowerbound of 95% confidence interval for alpha | -1.47 |
| Upperbound of 95% confidence interval for alpha | 1.70 |
| Treynor index (mean / b) | -0.39 |
| Jensen alpha (a) | 0.12 |
| VaR(95%) | 0.08 |
| Expected Shortfall on VaR | 0.10 |
| VaR(95%) | 0.02 |
| Expected Shortfall on VaR | 0.05 |
| Mean | -0.92 |
| SD | 1.09 |
| Sharpe ratio (Glass type estimate) | -0.84 |
| Sharpe ratio (Hedges UMVUE) | -0.83 |
| df | 130 |
| t | -0.59 |
| p | 0.53 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -3.61 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.94 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -3.61 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 1.94 |
| Sortino ratio | -1.17 |
| Upside Potential Ratio | 5.37 |
| Upside part of mean | 4.22 |
| Downside part of mean | -5.14 |
| Upside SD | 0.76 |
| Downside SD | 0.79 |
| N nonnegative terms | 58 |
| N negative terms | 73 |
| N of observations | 131 |
| Mean of predictor | 0.39 |
| Mean of criterion | -0.92 |
| SD of predictor | 0.17 |
| SD of criterion | 1.09 |
| Covariance | -0.01 |
| r | -0.08 |
| b (slope, estimate of beta) | -0.50 |
| a (intercept, estimate of alpha) | -0.72 |
| Mean Square Error | 1.20 |
| DF error | 129 |
| t(b) | -0.88 |
| p(b) | 0.55 |
| t(a) | -0.46 |
| p(a) | 0.53 |
| Lowerbound of 95% confidence interval for beta | -1.64 |
| Upperbound of 95% confidence interval for beta | 0.63 |
| Lowerbound of 95% confidence interval for alpha | -3.82 |
| Upperbound of 95% confidence interval for alpha | 2.38 |
| Treynor index (mean / b) | 1.82 |
| Jensen alpha (a) | -0.72 |
| Mean | -1.52 |
| SD | 1.10 |
| Sharpe ratio (Glass type estimate) | -1.38 |
| Sharpe ratio (Hedges UMVUE) | -1.37 |
| df | 130 |
| t | -0.97 |
| p | 0.54 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -4.15 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 1.40 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -4.14 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 1.41 |
| Sortino ratio | -1.76 |
| Upside Potential Ratio | 4.61 |
| Upside part of mean | 3.97 |
| Downside part of mean | -5.49 |
| Upside SD | 0.69 |
| Downside SD | 0.86 |
| N nonnegative terms | 58 |
| N negative terms | 73 |
| N of observations | 131 |
| Mean of predictor | 0.37 |
| Mean of criterion | -1.52 |
| SD of predictor | 0.17 |
| SD of criterion | 1.10 |
| Covariance | -0.01 |
| r | -0.07 |
| b (slope, estimate of beta) | -0.44 |
| a (intercept, estimate of alpha) | -1.35 |
| Mean Square Error | 1.22 |
| DF error | 129 |
| t(b) | -0.75 |
| p(b) | 0.54 |
| t(a) | -0.86 |
| p(a) | 0.55 |
| Lowerbound of 95% confidence interval for beta | -1.60 |
| VAR (95 Confidence Intrvl) | 0.08 |
| Upperbound of 95% confidence interval for beta | 0.72 |
| Lowerbound of 95% confidence interval for alpha | -4.48 |
| Upperbound of 95% confidence interval for alpha | 1.77 |
| Treynor index (mean / b) | 3.45 |
| Jensen alpha (a) | -1.35 |
| VaR(95%) | 0.11 |
| Expected Shortfall on VaR | 0.14 |
| VaR(95%) | 0.05 |
| Expected Shortfall on VaR | 0.10 |
ORDER STATISTICS
| Number of observations | 12 |
|---|---|
| Minimum | 0.48 |
| Quartile 1 | 0.99 |
| Median | 1.06 |
| Quartile 3 | 1.14 |
| Maximum | 1.43 |
| Mean of quarter 1 | 0.76 |
| Mean of quarter 2 | 1.03 |
| Mean of quarter 3 | 1.10 |
| Mean of quarter 4 | 1.26 |
| Inter Quartile Range | 0.14 |
| Number outliers low | 1 |
| Percentage of outliers low | 0.08 |
| Mean of outliers low | 0.48 |
| Number of outliers high | 1 |
| Percentage of outliers high | 0.08 |
| Mean of outliers high | 1.43 |
| Extreme Value Index (moments method) | -8.74 |
| VaR(95%) (moments method) | 0.08 |
| Expected Shortfall (moments method) | 0.08 |
| Extreme Value Index (regression method) | 0.17 |
| VaR(95%) (regression method) | 0.53 |
| Expected Shortfall (regression method) | 0.98 |
| Number of observations | 265 |
| Minimum | 0.72 |
| Quartile 1 | 1.00 |
| Median | 1.00 |
| Quartile 3 | 1.01 |
| Maximum | 1.28 |
| Mean of quarter 1 | 0.96 |
| Mean of quarter 2 | 1.00 |
| Mean of quarter 3 | 1.01 |
| Mean of quarter 4 | 1.04 |
| Inter Quartile Range | 0.01 |
| Number outliers low | 27 |
| Percentage of outliers low | 0.10 |
| Mean of outliers low | 0.91 |
| Number of outliers high | 24 |
| Percentage of outliers high | 0.09 |
| Mean of outliers high | 1.09 |
| Extreme Value Index (moments method) | 0.99 |
| VaR(95%) (moments method) | 0.03 |
| Expected Shortfall (moments method) | 3.82 |
| Extreme Value Index (regression method) | 0.55 |
| VaR(95%) (regression method) | 0.03 |
| Expected Shortfall (regression method) | 0.10 |
| Number of observations | 131 |
| Minimum | 0.72 |
| Quartile 1 | 0.99 |
| Median | 1 |
| Quartile 3 | 1.01 |
| Maximum | 1.28 |
| Mean of quarter 1 | 0.92 |
| Mean of quarter 2 | 1.00 |
| Mean of quarter 3 | 1.00 |
| Mean of quarter 4 | 1.06 |
| Inter Quartile Range | 0.02 |
| Number outliers low | 21 |
| Percentage of outliers low | 0.16 |
| Mean of outliers low | 0.89 |
| Number of outliers high | 15 |
| Percentage of outliers high | 0.11 |
| Mean of outliers high | 1.11 |
| Extreme Value Index (moments method) | 0.15 |
| VaR(95%) (moments method) | 0.04 |
| Expected Shortfall (moments method) | 0.06 |
| Extreme Value Index (regression method) | 0.00 |
| VaR(95%) (regression method) | 0.08 |
| Expected Shortfall (regression method) | 0.12 |
DRAW DOWN STATISTICS
| Number of observations | 2 |
|---|---|
| Minimum | 0.02 |
| Quartile 1 | 0.17 |
| Median | 0.31 |
| Quartile 3 | 0.46 |
| Maximum | 0.61 |
| Mean of quarter 1 | 0.02 |
| Mean of quarter 2 | 0 |
| Mean of quarter 3 | 0 |
| Mean of quarter 4 | 0.61 |
| Inter Quartile Range | 0.29 |
| 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 | 26 |
| Minimum | 0.00 |
| Quartile 1 | 0.00 |
| Median | 0.01 |
| Quartile 3 | 0.03 |
| Maximum | 0.78 |
| Mean of quarter 1 | 0.00 |
| Mean of quarter 2 | 0.01 |
| Mean of quarter 3 | 0.01 |
| Mean of quarter 4 | 0.16 |
| Inter Quartile Range | 0.02 |
| Number outliers low | 0 |
| Percentage of outliers low | 0 |
| Mean of outliers low | 0 |
| Number of outliers high | 2 |
| Percentage of outliers high | 0.08 |
| Mean of outliers high | 0.44 |
| Extreme Value Index (moments method) | 1.05 |
| VaR(95%) (moments method) | 0.14 |
| Expected Shortfall (moments method) | 0 |
| Extreme Value Index (regression method) | 1.70 |
| VaR(95%) (regression method) | 0.14 |
| Expected Shortfall (regression method) | 0 |
| Number of observations | 7 |
| Minimum | 0.00 |
| Quartile 1 | 0.01 |
| Median | 0.01 |
| Quartile 3 | 0.04 |
| Maximum | 0.78 |
| Mean of quarter 1 | 0.00 |
| Mean of quarter 2 | 0.01 |
| Mean of quarter 3 | 0.03 |
| Mean of quarter 4 | 0.41 |
| Inter Quartile Range | 0.03 |
| Number outliers low | 0 |
| Percentage of outliers low | 0 |
| Mean of outliers low | 0 |
| Number of outliers high | 1 |
| Percentage of outliers high | 0.14 |
| Mean of outliers high | 0.78 |
| 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? | -390600992 |
| Max Equity Drawdown (num days) | 70 |
| Last 4 Months - Pcnt Negative | 0.0% |
COMBINED STATISTICS
| Annualized return (arithmetic extrapolation) | 0.11 |
|---|---|
| Compounded annual return (geometric extrapolation) | 0.11 |
| Calmar ratio (compounded annual return / max draw down) | 0.17 |
| Compounded annual return / average of 25% largest draw downs | 0.17 |
| Compounded annual return / Expected Shortfall lognormal | 0.25 |
| j156mfCOMBRisPar | 0 |
| j157mfCOMBRisPar | 0 |
| Annualized return (arithmetic extrapolation) | 0.10 |
| Compounded annual return (geometric extrapolation) | 0.10 |
| Calmar ratio (compounded annual return / max draw down) | 0.13 |
| Compounded annual return / average of 25% largest draw downs | 0.67 |
| Compounded annual return / Expected Shortfall lognormal | 1.07 |
| j313dfCOMBRisPar | 0 |
| j314dfCOMBRisPar | 0 |
| Annualized return (arithmetic extrapolation) | -1.05 |
| Compounded annual return (geometric extrapolation) | -0.77 |
| Calmar ratio (compounded annual return / max draw down) | -0.99 |
| Compounded annual return / average of 25% largest draw downs | -1.89 |
| Compounded annual return / Expected Shortfall lognormal | -5.70 |
Trading record
Placed 1337 trades in real-life brokerage accounts.
| Symbol | Side | Qty | Opened | Closed | P/L |
|---|---|---|---|---|---|
| JY Z5 | long | 99 | Sep 17, 2025 | Dec 15, 2025 | ($47,805) |
| BP Z5 | long | 11 | Oct 21, 2025 | Dec 15, 2025 | ($2,412) |
| JE Z5 | short | 1 | Oct 16, 2025 | Oct 17, 2025 | $5 |
| BP Z5 | long | 3 | Oct 15, 2025 | Oct 15, 2025 | $572 |
| JE Z5 | long | 1 | Oct 15, 2025 | Oct 15, 2025 | $42 |
| BP Z5 | long | 2 | Oct 14, 2025 | Oct 15, 2025 | $222 |
| BP Z5 | long | 26 | Sep 17, 2025 | Oct 9, 2025 | ($9,865) |
| JY Z5 | long | 1 | Sep 17, 2025 | Sep 17, 2025 | $405 |
| BP Z5 | long | 3 | Sep 17, 2025 | Sep 17, 2025 | $223 |
| JY Z5 | long | 2 | Sep 17, 2025 | Sep 17, 2025 | $222 |
| JY Z5 | long | 2 | Sep 16, 2025 | Sep 16, 2025 | $159 |
| JY Z5 | long | 4 | Sep 9, 2025 | Sep 16, 2025 | $381 |
| JY U5 | long | 5 | Sep 10, 2025 | Sep 11, 2025 | $760 |
| JY U5 | long | 2 | Sep 9, 2025 | Sep 10, 2025 | $209 |
| JY U5 | long | 1 | Sep 9, 2025 | Sep 9, 2025 | $180 |
| JY Z5 | long | 1 | Sep 9, 2025 | Sep 9, 2025 | $230 |
| JY U5 | long | 2 | Sep 9, 2025 | Sep 9, 2025 | $284 |
| JY U5 | long | 16 | Aug 29, 2025 | Sep 9, 2025 | $1,360 |
| BP U5 | long | 2 | Sep 4, 2025 | Sep 4, 2025 | $110 |
| BP U5 | long | 2 | Sep 4, 2025 | Sep 4, 2025 | $133 |
| BP U5 | long | 2 | Sep 3, 2025 | Sep 4, 2025 | $97 |
| BP U5 | long | 1 | Aug 29, 2025 | Aug 29, 2025 | $114 |
| JY U5 | long | 42 | Aug 7, 2025 | Aug 28, 2025 | $3,229 |
| BP U5 | long | 1 | Aug 27, 2025 | Aug 27, 2025 | $155 |
| BP U5 | long | 3 | Aug 26, 2025 | Aug 27, 2025 | $209 |
| BP U5 | long | 1 | Aug 26, 2025 | Aug 26, 2025 | $82 |
| BP U5 | long | 3 | Aug 25, 2025 | Aug 26, 2025 | $148 |
| BP U5 | short | 1 | Aug 4, 2025 | Aug 4, 2025 | $60 |
| BP U5 | short | 2 | Aug 4, 2025 | Aug 4, 2025 | $224 |
| BP U5 | long | 2 | Aug 4, 2025 | Aug 4, 2025 | $243 |
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.