Nasdaq MNQ Specialist
- hypothetical · Annual Return (Compounded)
- 32.0%
- Max Drawdown
- 42.3%
- Trades
- 242
- Win Trades
- 85.1%
- Profit Factor
- 2.50
- Win Months
- 78.3%
About this strategy
This trading strategy revolves around systematically buying the dips and pullbacks in the Micro Nasdaq 100 futures (MNQ) when the price declines by 1-3% from recent highs. The goal is to capitalize on market rebounds while mitigating downside risk through controlled position sizing and profit-taking adjustments based on economic and technical indicators. We suggest staying in the fund for at least one year to fully realize the potential of our strategy.
Key Components of the Strategy
1. Entry Criteria: Buying the Dip (1-3%)
✅ We initiate trades when MNQ drops between 1-3% from a recent high or key resistance level.
The exact entry point depends on factors such as:
✅ Market Structure: Identifying strong support zones.
✅ Momentum Indicators: Using RSI and ADX to confirm oversold conditions.
✅ Economic Events: Avoiding or capitalizing on key macroeconomic data releases (CPI, Fed meetings, NFP).
2. Profit-Taking Adjustments (1-3%)
Profit targets vary between 1-3%, depending on:
✅ Volatility Conditions: Higher volatility allows for larger profit targets, while lower volatility warrants conservative exits.
✅ Trend Strength: If the broader trend is bullish, we extend profit-taking closer to 3%. If uncertain or choppy, we lock in gains earlier (~1%).
✅ News & Market Sentiment: Unexpected geopolitical risks or negative economic data may lead to earlier exits to protect capital.
3. Risk Management and Capital Preservation:
Position Sizing:
✅ Smaller positions in highly volatile or uncertain conditions.
✅ Larger positions when economic indicators favor mean reversion or trend continuation.
No Overexposure:
✅ Ensuring no excessive leverage is used to withstand drawdowns.
✅ Avoiding trading during high-impact events unless the strategy is adjusted accordingly.
✅ We usually buy 1 to 3 MNQ, but the system may occasionally buy up to 6 MNQ to dollar-cost average. We will not purchase more than 6 MNQ to remain in sync with subscribers' maximum capital.
4. Growth & Adaptability
✅ The strategy is not static; it adapts based on changing economic conditions and market structure.
✅ Regularly adjusting the parameters (dip % and profit targets) based on price action and volume.
✅ Aiming for consistent profits over time rather than chasing oversized returns.
Conclusion
This MNQ dip-buying strategy prioritizes growth while emphasizing capital preservation. By dynamically adjusting entry and exit points based on market conditions, it balances risk and reward, allowing traders to capitalize on short-term dips and pullbacks without exposing themselves to excessive downside risks.
These are the other strategies that I am managing. Please try them on simulator.
S and P MES Specialist: This is a futures strategy based on S and P Index.
https://collective2.com/details/151294783
Euro Stoxx 50 Specialist: This is a futures strategy based on EURO STOXX 50 Index, Europe's leading blue-chip index for the Eurozone
https://collective2.com/details/150918955
Global Futures Specialist: This is mixed futures strategy based on Gold, Crude Oil and Australia SPI 200 Index.
https://collective2.com/details/151221417
Buy The Dip: This is a stock-based scalping and swing strategy that targets a realized gain of $50 to $100 per day.
https://collective2.com/details/151465599
Additional Stop Loss Risk Control by Subscribers
We do not have fixed stop-loss limits and instead dynamically identify riskier positions and close positions that we deem to be high risk. We also encourage our subscribers to set their own stop-loss limits, if they wish to do so. One subscriber may be comfortable with a 2% stop-loss, while another may prefer a 10% threshold. Therefore, we leave it to the user's discretion. You can find the Collective2 subscriber stop-loss settings at the link below.
https://support.collective2.com/hc/en-us/articles/202933834-AutoTrade-Configuration-Scaling-Max-Size-Auto-Stop-Loss
Note: Past performance does not guarantee future results. Our strategies are not available to UAE residents or UAE citizens.
Trend-following
Hypothetical Monthly Returns (includes fees/commissions)
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | YTD |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024 | -0.1 | 6.5 | 9.3 | 16.3 | |||||||||
| 2025 | 17.9 | 3.2 | -6.5 | 8.5 | 2.6 | 1.1 | 0.7 | 2.4 | 1.9 | 3.1 | -1.6 | 3.1 | 40.5 |
| 2026 | 1.6 | -4.6 | -4.2 | 3.4 | 0.6 | 4.0 | 2.4 | 0.3 | 3.0 |
Statistics
Overview
| Strategy began | 10/10/2024 |
|---|---|
| Suggested Minimum Capital | $80,000 |
| Age | 23 months |
| C2 Rank | Top 6.9% |
| What it trades | Futures |
| # Trades | 242 |
| # Profitable | 206 |
| % Profitable | 85.1% |
| Avg trade duration | 2.0 days |
| Max peak-to-valley drawdown | 42.3% |
| drawdown period | March 07, 2025 - April 09, 2025 |
| Annual Return (Compounded) | 32.0% |
| Avg win | $294 |
| Avg loss | $670 |
Ratios
| W:L ratio | 2.51 |
|---|---|
| Sharpe Ratio | 0.86 |
| Sortino Ratio | 1.57 |
| Calmar Ratio | 1.20 |
CORRELATION STATISTICS
| Correlation to SP500 | 0.27 |
|---|---|
| Return Percent SP500 (cumu) during strategy life | 32.8% |
| Return of Strat Pcnt - Return of SP500 Pcnt (cumu) | 35.6% |
Return Statistics
| Ann Return (w trading costs) | 32.0% |
|---|---|
| Return Pcnt (Compound or Annual, age-based, NFA compliant) | 0.3% |
| Return Pcnt Since TOS Status | 0.0% |
| Ann Return (Compnd, No Fees) | 33.9% |
Slump
| Current Slump as Pcnt Equity | 2.2% |
|---|---|
| Current Slump, time of slump as pcnt of strategy life | 0.0% |
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 | 56.5% |
|---|---|
| Chance of 20% account loss | 28.5% |
| Chance of 30% account loss | 9.0% |
| Chance of 40% account loss | 1.5% |
| 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 | 0.8% |
|---|
Popularity
| Popularity (Today) | 839 |
|---|---|
| Popularity (Last 6 weeks) | 916 |
| C2 Score | 931 |
| Popularity (7 days, Percentile 1000 scale) | 897 |
Trading Style
| Any stock shorts? 0/1 | 0 |
|---|
Trades-Own-System Certification
| Trades Own System? | 0 |
|---|---|
| TOS percent | 0.0% |
Win / Loss
| Avg Loss | $674 |
|---|---|
| Avg Win | $294 |
| # Winners | 206 |
| Sum Trade PL (losers) | $24,272 |
| Sum Trade PL (winners) | $60,644 |
| Num Months Winners | 19 |
| # Losers | 36 |
| % Winners | 85.1% |
Dividends
| Dividends Received in Model Acct | 0 |
|---|
Age
| Num Months filled monthly returns table | 23 |
|---|
Frequency
| Avg Position Time (mins) | 2950.38 |
|---|---|
| Avg Position Time (hrs) | 49.17 |
| Avg Trade Length | 2 |
| Last Trade Ago | 6 |
Leverage
| Daily leverage (average) | 1.32 |
|---|---|
| Daily leverage (max) | 5.87 |
Regression
| Alpha | 0.06 |
|---|---|
| Beta | 0.47 |
| Treynor Index | 0.18 |
Maximum Adverse Excursion (MAE)
| MAE:Equity, average, all trades | 0.01 |
|---|---|
| MAE:Equity, 95th Percentile Value for this strat | 0 |
| MAE:Equity, average, losing trades | 0.04 |
| 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 | 6.25 |
| MAE:PL (avg, all trades) | 3.36 |
| MAE:PL (avg, losing trades) | — |
| MAE:PL (avg, winning trades) | — |
| MAE:PL - worst single value for strategy | — |
| Avg(MAE) / Avg(PL) - Winning trades | 2.05 |
| Avg(MAE) / Avg(PL) - Losing trades | -3.06 |
| Hold-and-Hope Ratio | 0.16 |
RATIO STATISTICS
| Mean | 0.29 |
|---|---|
| SD | 0.18 |
| Sharpe ratio (Glass type estimate) | 1.63 |
| Sharpe ratio (Hedges UMVUE) | 1.57 |
| df | 21 |
| t | 2.21 |
| p | 0.23 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | 0.09 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 3.14 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.05 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 3.10 |
| Sortino ratio | 7.41 |
| Upside Potential Ratio | 8.75 |
| Upside part of mean | 0.34 |
| Downside part of mean | -0.05 |
| Upside SD | 0.19 |
| Downside SD | 0.04 |
| N nonnegative terms | 17 |
| N negative terms | 5 |
| N of observations | 22 |
| Mean of predictor | 0.14 |
| Mean of criterion | 0.29 |
| SD of predictor | 0.16 |
| SD of criterion | 0.18 |
| Covariance | 0.00 |
| r | 0.00 |
| b (slope, estimate of beta) | 0.00 |
| a (intercept, estimate of alpha) | 0.29 |
| Mean Square Error | 0.03 |
| DF error | 20 |
| t(b) | 0.02 |
| p(b) | 0.50 |
| t(a) | 2.09 |
| p(a) | 0.29 |
| Lowerbound of 95% confidence interval for beta | -0.51 |
| Upperbound of 95% confidence interval for beta | 0.52 |
| Lowerbound of 95% confidence interval for alpha | 0.00 |
| Upperbound of 95% confidence interval for alpha | 0.57 |
| Treynor index (mean / b) | 66.87 |
| Jensen alpha (a) | 0.29 |
| Mean | 0.27 |
| SD | 0.16 |
| Sharpe ratio (Glass type estimate) | 1.67 |
| Sharpe ratio (Hedges UMVUE) | 1.61 |
| df | 21 |
| t | 2.26 |
| p | 0.23 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | 0.12 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 3.18 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.08 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 3.13 |
| Sortino ratio | 6.86 |
| Upside Potential Ratio | 8.20 |
| Upside part of mean | 0.32 |
| Downside part of mean | -0.05 |
| Upside SD | 0.17 |
| Downside SD | 0.04 |
| N nonnegative terms | 17 |
| N negative terms | 5 |
| N of observations | 22 |
| Mean of predictor | 0.12 |
| Mean of criterion | 0.27 |
| SD of predictor | 0.16 |
| SD of criterion | 0.16 |
| Covariance | 0.00 |
| r | 0.03 |
| b (slope, estimate of beta) | 0.03 |
| a (intercept, estimate of alpha) | 0.27 |
| Mean Square Error | 0.03 |
| DF error | 20 |
| t(b) | 0.12 |
| p(b) | 0.49 |
| t(a) | 2.12 |
| p(a) | 0.29 |
| Lowerbound of 95% confidence interval for beta | -0.46 |
| Upperbound of 95% confidence interval for beta | 0.51 |
| Lowerbound of 95% confidence interval for alpha | 0.00 |
| Upperbound of 95% confidence interval for alpha | 0.53 |
| Treynor index (mean / b) | 9.64 |
| Jensen alpha (a) | 0.27 |
| VaR(95%) | 0.05 |
| Expected Shortfall on VaR | 0.07 |
| VaR(95%) | 0.01 |
| Expected Shortfall on VaR | 0.01 |
| Mean | 0.31 |
| SD | 0.29 |
| Sharpe ratio (Glass type estimate) | 1.08 |
| Sharpe ratio (Hedges UMVUE) | 1.07 |
| df | 480 |
| t | 1.46 |
| p | 0.07 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.37 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.52 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.37 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 2.52 |
| Sortino ratio | 2.05 |
| Upside Potential Ratio | 7.35 |
| Upside part of mean | 1.10 |
| Downside part of mean | -0.80 |
| Upside SD | 0.25 |
| Downside SD | 0.15 |
| N nonnegative terms | 236 |
| N negative terms | 245 |
| N of observations | 481 |
| Mean of predictor | 0.14 |
| Mean of criterion | 0.31 |
| SD of predictor | 0.17 |
| SD of criterion | 0.29 |
| Covariance | 0.01 |
| r | 0.30 |
| b (slope, estimate of beta) | 0.52 |
| a (intercept, estimate of alpha) | 0.24 |
| Mean Square Error | 0.08 |
| DF error | 479 |
| t(b) | 6.81 |
| p(b) | 0 |
| t(a) | 1.17 |
| p(a) | 0.12 |
| Lowerbound of 95% confidence interval for beta | 0.37 |
| Upperbound of 95% confidence interval for beta | 0.66 |
| Lowerbound of 95% confidence interval for alpha | -0.16 |
| Upperbound of 95% confidence interval for alpha | 0.64 |
| Treynor index (mean / b) | 0.60 |
| Jensen alpha (a) | 0.24 |
| Mean | 0.27 |
| SD | 0.27 |
| Sharpe ratio (Glass type estimate) | 0.98 |
| Sharpe ratio (Hedges UMVUE) | 0.98 |
| df | 480 |
| t | 1.33 |
| p | 0.09 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.46 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.43 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.47 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 2.43 |
| Sortino ratio | 1.74 |
| Upside Potential Ratio | 6.94 |
| Upside part of mean | 1.08 |
| Downside part of mean | -0.81 |
| Upside SD | 0.23 |
| Downside SD | 0.16 |
| N nonnegative terms | 236 |
| N negative terms | 245 |
| N of observations | 481 |
| Mean of predictor | 0.13 |
| Mean of criterion | 0.27 |
| SD of predictor | 0.16 |
| SD of criterion | 0.27 |
| Covariance | 0.01 |
| r | 0.33 |
| b (slope, estimate of beta) | 0.54 |
| a (intercept, estimate of alpha) | 0.20 |
| Mean Square Error | 0.07 |
| DF error | 479 |
| t(b) | 7.52 |
| p(b) | 0 |
| t(a) | 1.05 |
| p(a) | 0.15 |
| Lowerbound of 95% confidence interval for beta | 0.40 |
| Upperbound of 95% confidence interval for beta | 0.68 |
| Lowerbound of 95% confidence interval for alpha | -0.18 |
| Upperbound of 95% confidence interval for alpha | 0.58 |
| Treynor index (mean / b) | 0.50 |
| Jensen alpha (a) | 0.20 |
| VaR(95%) | 0.03 |
| Expected Shortfall on VaR | 0.03 |
| VaR(95%) | 0.01 |
| Expected Shortfall on VaR | 0.02 |
| Mean | 0.11 |
| SD | 0.17 |
| Sharpe ratio (Glass type estimate) | 0.67 |
| Sharpe ratio (Hedges UMVUE) | 0.67 |
| df | 130 |
| t | 0.47 |
| p | 0.48 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.10 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 3.44 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -2.11 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 3.44 |
| Sortino ratio | 1.15 |
| Upside Potential Ratio | 9.13 |
| Upside part of mean | 0.90 |
| Downside part of mean | -0.79 |
| Upside SD | 0.14 |
| Downside SD | 0.10 |
| N nonnegative terms | 67 |
| N negative terms | 64 |
| N of observations | 131 |
| Mean of predictor | 0.21 |
| Mean of criterion | 0.11 |
| SD of predictor | 0.14 |
| SD of criterion | 0.17 |
| Covariance | 0.01 |
| r | 0.52 |
| b (slope, estimate of beta) | 0.63 |
| a (intercept, estimate of alpha) | -0.02 |
| Mean Square Error | 0.02 |
| DF error | 129 |
| t(b) | 6.95 |
| p(b) | 0.18 |
| t(a) | -0.07 |
| p(a) | 0.50 |
| Lowerbound of 95% confidence interval for beta | 0.45 |
| Upperbound of 95% confidence interval for beta | 0.80 |
| Lowerbound of 95% confidence interval for alpha | -0.42 |
| Upperbound of 95% confidence interval for alpha | 0.39 |
| Treynor index (mean / b) | 0.18 |
| Jensen alpha (a) | -0.02 |
| Mean | 0.10 |
| SD | 0.17 |
| Sharpe ratio (Glass type estimate) | 0.59 |
| Sharpe ratio (Hedges UMVUE) | 0.59 |
| df | 130 |
| t | 0.42 |
| p | 0.48 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -2.18 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 3.36 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -2.18 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 3.36 |
| Sortino ratio | 1.00 |
| Upside Potential Ratio | 8.96 |
| Upside part of mean | 0.89 |
| Downside part of mean | -0.79 |
| Upside SD | 0.13 |
| Downside SD | 0.10 |
| N nonnegative terms | 67 |
| N negative terms | 64 |
| N of observations | 131 |
| Mean of predictor | 0.20 |
| Mean of criterion | 0.10 |
| SD of predictor | 0.14 |
| SD of criterion | 0.17 |
| Covariance | 0.01 |
| r | 0.53 |
| b (slope, estimate of beta) | 0.62 |
| a (intercept, estimate of alpha) | -0.02 |
| Mean Square Error | 0.02 |
| DF error | 129 |
| t(b) | 7.01 |
| p(b) | 0.18 |
| t(a) | -0.11 |
| p(a) | 0.51 |
| Lowerbound of 95% confidence interval for beta | 0.45 |
| VAR (95 Confidence Intrvl) | 0.03 |
| Upperbound of 95% confidence interval for beta | 0.80 |
| Lowerbound of 95% confidence interval for alpha | -0.43 |
| Upperbound of 95% confidence interval for alpha | 0.38 |
| Treynor index (mean / b) | 0.16 |
| Jensen alpha (a) | -0.02 |
| VaR(95%) | 0.02 |
| Expected Shortfall on VaR | 0.02 |
| VaR(95%) | 0.01 |
| Expected Shortfall on VaR | 0.01 |
ORDER STATISTICS
| Number of observations | 22 |
|---|---|
| Minimum | 0.96 |
| Quartile 1 | 1.00 |
| Median | 1.02 |
| Quartile 3 | 1.03 |
| Maximum | 1.22 |
| Mean of quarter 1 | 0.99 |
| Mean of quarter 2 | 1.01 |
| Mean of quarter 3 | 1.03 |
| Mean of quarter 4 | 1.08 |
| Inter Quartile Range | 0.03 |
| Number outliers low | 0 |
| Percentage of outliers low | 0 |
| Mean of outliers low | 0 |
| Number of outliers high | 2 |
| Percentage of outliers high | 0.09 |
| Mean of outliers high | 1.16 |
| Extreme Value Index (moments method) | 0 |
| VaR(95%) (moments method) | 0 |
| Expected Shortfall (moments method) | 0 |
| Extreme Value Index (regression method) | -0.30 |
| VaR(95%) (regression method) | 0.02 |
| Expected Shortfall (regression method) | 0.02 |
| Number of observations | 481 |
| Minimum | 0.89 |
| Quartile 1 | 1.00 |
| Median | 1 |
| Quartile 3 | 1.00 |
| Maximum | 1.26 |
| Mean of quarter 1 | 0.99 |
| 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 | 40 |
| Percentage of outliers low | 0.08 |
| Mean of outliers low | 0.98 |
| Number of outliers high | 41 |
| Percentage of outliers high | 0.09 |
| Mean of outliers high | 1.03 |
| Extreme Value Index (moments method) | 0.50 |
| VaR(95%) (moments method) | 0.01 |
| Expected Shortfall (moments method) | 0.02 |
| Extreme Value Index (regression method) | 0.37 |
| VaR(95%) (regression method) | 0.01 |
| Expected Shortfall (regression method) | 0.02 |
| Number of observations | 131 |
| Minimum | 0.97 |
| Quartile 1 | 1.00 |
| Median | 1.00 |
| Quartile 3 | 1.00 |
| Maximum | 1.05 |
| Mean of quarter 1 | 0.99 |
| Mean of quarter 2 | 1.00 |
| Mean of quarter 3 | 1.00 |
| Mean of quarter 4 | 1.01 |
| Inter Quartile Range | 0.01 |
| Number outliers low | 6 |
| Percentage of outliers low | 0.05 |
| Mean of outliers low | 0.98 |
| Number of outliers high | 8 |
| Percentage of outliers high | 0.06 |
| Mean of outliers high | 1.03 |
| Extreme Value Index (moments method) | 0.34 |
| VaR(95%) (moments method) | 0.01 |
| Expected Shortfall (moments method) | 0.02 |
| Extreme Value Index (regression method) | 0.40 |
| VaR(95%) (regression method) | 0.01 |
| Expected Shortfall (regression method) | 0.02 |
DRAW DOWN STATISTICS
| Number of observations | 2 |
|---|---|
| Minimum | 0.01 |
| Quartile 1 | 0.02 |
| Median | 0.03 |
| Quartile 3 | 0.03 |
| Maximum | 0.04 |
| Mean of quarter 1 | 0.01 |
| Mean of quarter 2 | 0 |
| Mean of quarter 3 | 0 |
| Mean of quarter 4 | 0.04 |
| Inter Quartile Range | 0.01 |
| 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 | 34 |
| Minimum | 0 |
| Quartile 1 | 0.00 |
| Median | 0.01 |
| Quartile 3 | 0.02 |
| Maximum | 0.29 |
| Mean of quarter 1 | 0.00 |
| Mean of quarter 2 | 0.00 |
| Mean of quarter 3 | 0.02 |
| Mean of quarter 4 | 0.08 |
| Inter Quartile Range | 0.02 |
| Number outliers low | 0 |
| Percentage of outliers low | 0 |
| Mean of outliers low | 0 |
| Number of outliers high | 3 |
| Percentage of outliers high | 0.09 |
| Mean of outliers high | 0.16 |
| Extreme Value Index (moments method) | 0.80 |
| VaR(95%) (moments method) | 0.09 |
| Expected Shortfall (moments method) | 0.42 |
| Extreme Value Index (regression method) | 1.61 |
| VaR(95%) (regression method) | 0.05 |
| Expected Shortfall (regression method) | 0 |
| Number of observations | 11 |
| Minimum | 0.00 |
| Quartile 1 | 0.00 |
| Median | 0.01 |
| Quartile 3 | 0.05 |
| Maximum | 0.07 |
| Mean of quarter 1 | 0.00 |
| Mean of quarter 2 | 0.01 |
| Mean of quarter 3 | 0.03 |
| Mean of quarter 4 | 0.06 |
| Inter Quartile Range | 0.04 |
| 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) | -0.48 |
| VaR(95%) (moments method) | 0.07 |
| Expected Shortfall (moments method) | 0.07 |
| Extreme Value Index (regression method) | 1.17 |
| VaR(95%) (regression method) | 0.07 |
| Expected Shortfall (regression method) | 0 |
| Strat Max DD how much worse than SP500 max DD during strat life? | -498283424 |
| Max Equity Drawdown (num days) | 33 |
| Last 4 Months - Pcnt Negative | 0.0% |
COMBINED STATISTICS
| Annualized return (arithmetic extrapolation) | 0.40 |
|---|---|
| Compounded annual return (geometric extrapolation) | 0.35 |
| Calmar ratio (compounded annual return / max draw down) | 9.28 |
| Compounded annual return / average of 25% largest draw downs | 9.28 |
| Compounded annual return / Expected Shortfall lognormal | 4.88 |
| j156mfCOMBRisPar | 0 |
| j157mfCOMBRisPar | 0 |
| Annualized return (arithmetic extrapolation) | 0.40 |
| Compounded annual return (geometric extrapolation) | 0.35 |
| Calmar ratio (compounded annual return / max draw down) | 1.20 |
| Compounded annual return / average of 25% largest draw downs | 4.61 |
| Compounded annual return / Expected Shortfall lognormal | 10.41 |
| j313dfCOMBRisPar | 0 |
| j314dfCOMBRisPar | 0 |
| Annualized return (arithmetic extrapolation) | 0.13 |
| Compounded annual return (geometric extrapolation) | 0.14 |
| Calmar ratio (compounded annual return / max draw down) | 1.96 |
| Compounded annual return / average of 25% largest draw downs | 2.27 |
| Compounded annual return / Expected Shortfall lognormal | 6.53 |
Trading record
Placed 417 trades in real-life brokerage accounts.
| Symbol | Side | Qty | Opened | Closed | P/L |
|---|---|---|---|---|---|
| MNQ Z6 | long | 1 | Aug 14, 2026 | Aug 17, 2026 | $80 |
| MNQ Z6 | long | 1 | Aug 14, 2026 | Aug 14, 2026 | $70 |
| MNQ Z6 | long | 1 | Aug 14, 2026 | Aug 14, 2026 | $119 |
| MNQ Z6 | long | 1 | Aug 10, 2026 | Aug 13, 2026 | $487 |
| MNQ Z6 | long | 1 | Aug 10, 2026 | Aug 10, 2026 | $105 |
| MNQ Z6 | long | 1 | Aug 5, 2026 | Aug 10, 2026 | $139 |
| MNQ Z6 | long | 1 | Aug 4, 2026 | Aug 5, 2026 | $273 |
| MNQ Z6 | long | 1 | Aug 4, 2026 | Aug 4, 2026 | $141 |
| MNQ Z6 | long | 1 | Aug 4, 2026 | Aug 4, 2026 | $54 |
| MNQ Z6 | long | 1 | Aug 4, 2026 | Aug 4, 2026 | $73 |
| MNQ Z6 | long | 1 | Aug 4, 2026 | Aug 4, 2026 | $154 |
| MNQ Z6 | long | 1 | Aug 4, 2026 | Aug 4, 2026 | $185 |
| MNQ Z6 | long | 1 | Aug 4, 2026 | Aug 4, 2026 | $160 |
| MNQ Z6 | long | 1 | Aug 2, 2026 | Aug 3, 2026 | $214 |
| MNQ Z6 | long | 4 | Jul 21, 2026 | Jul 31, 2026 | $1,386 |
| MNQ Z6 | long | 3 | Jul 9, 2026 | Jul 21, 2026 | $28 |
| MNQ Z6 | long | 1 | Jul 9, 2026 | Jul 9, 2026 | $158 |
| MNQ Z6 | long | 2 | Jul 5, 2026 | Jul 9, 2026 | $281 |
| MNQ Z6 | long | 2 | Jul 1, 2026 | Jul 5, 2026 | $201 |
| MNQ Z6 | long | 1 | Jun 29, 2026 | Jun 30, 2026 | $346 |
| MNQ Z6 | long | 3 | Jun 22, 2026 | Jun 29, 2026 | $182 |
| MNQ Z6 | long | 1 | Jun 22, 2026 | Jun 22, 2026 | $206 |
| MNQ Z6 | long | 1 | Jun 22, 2026 | Jun 22, 2026 | $168 |
| MNQ Z6 | long | 1 | Jun 19, 2026 | Jun 21, 2026 | ($105) |
| MNQ Z6 | long | 1 | Jun 18, 2026 | Jun 18, 2026 | $139 |
| MNQ Z6 | long | 2 | Jun 17, 2026 | Jun 18, 2026 | $153 |
| MNQ Z6 | long | 1 | Jun 15, 2026 | Jun 16, 2026 | $17 |
| MNQ Z6 | long | 1 | Jun 15, 2026 | Jun 15, 2026 | $282 |
| MNQ Z6 | long | 1 | Jun 14, 2026 | Jun 14, 2026 | $499 |
| MNQ U6 | long | 1 | Jun 11, 2026 | Jun 12, 2026 | $292 |
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.