Elite Wheel Income
Trades Own Strategy BrokerTransmit
- hypothetical · Cumul. Return
- 60.9%
- Max Drawdown
- 16.2%
- Trades
- 60
- Win Trades
- 78.3%
- Profit Factor
- 3.10
- Win Months
- 37.5%
About this strategy
Strategy Overview: Precision & Efficiency
Welcome to Elite Wheel Income strategy. To achieve the same results that I do, it is essential to follow this methodology with exact precision. This description is designed to be a comprehensive guide; please ensure you read it in its entirety before subscribing.
Any deviation from the parameters outlined below means you are no longer following the core strategy, and your results will likely diverge from mine.
Why Elite Wheel Income?
Low Risk Profile: My primary focus is on the "Magnificent 7"—the world’s leading technology giants. By trading these highly liquid, blue-chip companies, we maintain a significantly lower risk profile compared to volatile speculative stocks.
Time Efficiency: This is not a time-consuming endeavor. Executing the strategy takes only seconds of your day, making it ideal for those with busy schedules who don't want to be glued to a screen.
The Scaling Formula (Crucial)
To maintain proper risk management and mirror my performance, you must calculate your position sizes correctly. We use a specific formula to determine the number of contracts based on your available Buying Power.
The formula is as follows:
Contracts=
Stock Price×100
Buying Power
Note: We use a multiplier of 100 to account for standard contract leverage. Always round down to the nearest whole number to remain conservative.
Example Calculation (NVDA):
If NVIDIA (NVDA) is trading at $180 and your account has $120,000 in Buying Power:
Multiply the price by 100: 180×100=18,000
Divide your Buying Power by that result: 120,000/18,000=6.66
Suggested Action: Open 6 contracts.
A Final Note on Discipline
While I offer these guidelines as a suggestion for success, please understand that the integrity of this strategy relies on consistency. If you choose to modify the entry points, asset selection, or the formula above, the performance will no longer reflect my documented track record.
I invite you to follow along with discipline and look forward to our shared success.
Welcome to Elite Wheel Income strategy. To achieve the same results that I do, it is essential to follow this methodology with exact precision. This description is designed to be a comprehensive guide; please ensure you read it in its entirety before subscribing.
Any deviation from the parameters outlined below means you are no longer following the core strategy, and your results will likely diverge from mine.
Why Elite Wheel Income?
Low Risk Profile: My primary focus is on the "Magnificent 7"—the world’s leading technology giants. By trading these highly liquid, blue-chip companies, we maintain a significantly lower risk profile compared to volatile speculative stocks.
Time Efficiency: This is not a time-consuming endeavor. Executing the strategy takes only seconds of your day, making it ideal for those with busy schedules who don't want to be glued to a screen.
The Scaling Formula (Crucial)
To maintain proper risk management and mirror my performance, you must calculate your position sizes correctly. We use a specific formula to determine the number of contracts based on your available Buying Power.
The formula is as follows:
Contracts=
Stock Price×100
Buying Power
Note: We use a multiplier of 100 to account for standard contract leverage. Always round down to the nearest whole number to remain conservative.
Example Calculation (NVDA):
If NVIDIA (NVDA) is trading at $180 and your account has $120,000 in Buying Power:
Multiply the price by 100: 180×100=18,000
Divide your Buying Power by that result: 120,000/18,000=6.66
Suggested Action: Open 6 contracts.
A Final Note on Discipline
While I offer these guidelines as a suggestion for success, please understand that the integrity of this strategy relies on consistency. If you choose to modify the entry points, asset selection, or the formula above, the performance will no longer reflect my documented track record.
I invite you to follow along with discipline and look forward to our shared success.
Hypothetical Monthly Returns (includes fees/commissions)
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | YTD |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | -0.4 | 7.5 | 34.9 | -1.1 | 14.1 | -0.6 | -0.4 | -0.3 | 60.9 |
Statistics
Overview
| Strategy began | 1/14/2026 |
|---|---|
| Suggested Minimum Capital | $35,000 |
| Age | 7 months |
| C2 Rank | 921 |
| Rank at C2 % | Top 7.9% |
| Rank # | #306 |
| What it trades | Options |
| # Trades | 60 |
| # Profitable | 47 |
| % Profitable | 78.3% |
| Avg trade duration | 6.5 days |
| Max peak-to-valley drawdown | 16.2% |
| drawdown period | Feb 02, 2026 - Feb 05, 2026 |
| Cumul. Return | 60.9% |
| Avg win | $1,052 |
| Avg loss | $1,236 |
Ratios
| W:L ratio | 3.08 |
|---|---|
| Sharpe Ratio | 1.94 |
| Sortino Ratio | 4.96 |
| Calmar Ratio | 15.55 |
CORRELATION STATISTICS
| Correlation to SP500 | 0.29 |
|---|---|
| Return Percent SP500 (cumu) during strategy life | 10.8% |
| Return of Strat Pcnt - Return of SP500 Pcnt (cumu) | 50.0% |
Return Statistics
| Ann Return (w trading costs) | 114.3% |
|---|---|
| Return Pcnt (Compound or Annual, age-based, NFA compliant) | 0.6% |
| Return Pcnt Since TOS Status | 0.0% |
| Ann Return (Compnd, No Fees) | 128.9% |
Slump
| Current Slump as Pcnt Equity | 1.7% |
|---|---|
| Current Slump, time of slump as pcnt of strategy life | 0.4% |
Instruments
| Percent Trades Forex | 0.0% |
|---|---|
| Percent Trades Futures | 0.0% |
| Percent Trades Options | 1.0% |
| Short Options - Percent Covered | 2.4% |
| Percent Trades Stocks | 0.0% |
Risk of Ruin (Monte-Carlo)
| Chance of 10% account loss | 9.5% |
|---|---|
| Chance of 20% account loss | 0.0% |
| Chance of 30% account loss | 0.0% |
| Chance of 40% account loss | 0.0% |
| 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) | 797 |
| C2 Score | 921 |
| Popularity (7 days, Percentile 1000 scale) | 434 |
Trading Style
| Any stock shorts? 0/1 | 1 |
|---|
Trades-Own-System Certification
| Trades Own System? | 187453 |
|---|---|
| TOS percent | 100.0% |
Win / Loss
| Avg Loss | $1,236 |
|---|---|
| Avg Win | $1,052 |
| # Winners | 47 |
| Sum Trade PL (losers) | $16,067 |
| Sum Trade PL (winners) | $49,465 |
| Num Months Winners | 4 |
| # Losers | 13 |
| % Winners | 78.3% |
Dividends
| Dividends Received in Model Acct | 0 |
|---|
Age
| Num Months filled monthly returns table | 8 |
|---|
Frequency
| Avg Position Time (mins) | 9417.78 |
|---|---|
| Avg Position Time (hrs) | 156.96 |
| Avg Trade Length | 6.50 |
| Last Trade Ago | 40 |
Leverage
| Daily leverage (average) | 2.47 |
|---|---|
| Daily leverage (max) | 6.40 |
Regression
| Alpha | 0.19 |
|---|---|
| Beta | 0.73 |
| Treynor Index | 0.31 |
Maximum Adverse Excursion (MAE)
| MAE:Equity, average, all trades | 0.02 |
|---|---|
| MAE:Equity, 95th Percentile Value for this strat | 0 |
| MAE:Equity, average, losing trades | 0.02 |
| MAE:Equity, losing trades only, 95th Percentile Value for this strat | — |
| MAE:Equity, average, winning trades | 0.02 |
| MAE:Equity, win trades only, 95th Percentile Value for this strat | — |
| Avg(MAE) / Avg(PL) - All trades | 2.30 |
| MAE:PL (avg, all trades) | 1.69 |
| MAE:PL (avg, losing trades) | — |
| MAE:PL (avg, winning trades) | — |
| MAE:PL - worst single value for strategy | — |
| Avg(MAE) / Avg(PL) - Winning trades | 0.96 |
| Avg(MAE) / Avg(PL) - Losing trades | -1.23 |
| Hold-and-Hope Ratio | 0.43 |
RATIO STATISTICS
| Mean | 1.31 |
|---|---|
| SD | 0.34 |
| Sharpe ratio (Glass type estimate) | 3.79 |
| Sharpe ratio (Hedges UMVUE) | 3.02 |
| df | 4 |
| t | 2.45 |
| p | 0.04 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.29 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 7.62 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.67 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 6.71 |
| Sortino ratio | 297.40 |
| Upside Potential Ratio | 298.95 |
| Upside part of mean | 1.31 |
| Downside part of mean | -0.01 |
| Upside SD | 0.49 |
| Downside SD | 0.00 |
| N nonnegative terms | 4 |
| N negative terms | 1 |
| N of observations | 5 |
| Mean of predictor | 0.16 |
| Mean of criterion | 1.31 |
| SD of predictor | 0.14 |
| SD of criterion | 0.34 |
| Covariance | 0.01 |
| r | 0.18 |
| b (slope, estimate of beta) | 0.44 |
| a (intercept, estimate of alpha) | 1.24 |
| Mean Square Error | 0.15 |
| DF error | 3 |
| t(b) | 0.32 |
| p(b) | 0.38 |
| t(a) | 1.92 |
| p(a) | 0.08 |
| Lowerbound of 95% confidence interval for beta | -3.93 |
| Upperbound of 95% confidence interval for beta | 4.81 |
| Lowerbound of 95% confidence interval for alpha | -0.81 |
| Upperbound of 95% confidence interval for alpha | 3.29 |
| Treynor index (mean / b) | 2.97 |
| Jensen alpha (a) | 1.24 |
| Mean | 1.20 |
| SD | 0.31 |
| Sharpe ratio (Glass type estimate) | 3.89 |
| Sharpe ratio (Hedges UMVUE) | 3.10 |
| df | 4 |
| t | 2.51 |
| p | 0.03 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.23 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 7.76 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.62 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 6.82 |
| Sortino ratio | 273.21 |
| Upside Potential Ratio | 274.76 |
| Upside part of mean | 1.21 |
| Downside part of mean | -0.01 |
| Upside SD | 0.44 |
| Downside SD | 0.00 |
| N nonnegative terms | 4 |
| N negative terms | 1 |
| N of observations | 5 |
| Mean of predictor | 0.15 |
| Mean of criterion | 1.20 |
| SD of predictor | 0.14 |
| SD of criterion | 0.31 |
| Covariance | 0.01 |
| r | 0.21 |
| b (slope, estimate of beta) | 0.46 |
| a (intercept, estimate of alpha) | 1.13 |
| Mean Square Error | 0.12 |
| DF error | 3 |
| t(b) | 0.37 |
| p(b) | 0.37 |
| t(a) | 1.98 |
| p(a) | 0.07 |
| Lowerbound of 95% confidence interval for beta | -3.51 |
| Upperbound of 95% confidence interval for beta | 4.44 |
| Lowerbound of 95% confidence interval for alpha | -0.69 |
| Upperbound of 95% confidence interval for alpha | 2.95 |
| Treynor index (mean / b) | 2.59 |
| Jensen alpha (a) | 1.13 |
| VaR(95%) | 0.05 |
| Expected Shortfall on VaR | 0.08 |
| VaR(95%) | 0.00 |
| Expected Shortfall on VaR | 0.00 |
| Mean | 1.19 |
| SD | 0.40 |
| Sharpe ratio (Glass type estimate) | 2.99 |
| Sharpe ratio (Hedges UMVUE) | 2.97 |
| df | 116 |
| t | 2.00 |
| p | 0.41 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | 0.03 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 5.95 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | 0.02 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 5.93 |
| Sortino ratio | 7.76 |
| Upside Potential Ratio | 12.65 |
| Upside part of mean | 1.95 |
| Downside part of mean | -0.75 |
| Upside SD | 0.37 |
| Downside SD | 0.15 |
| N nonnegative terms | 45 |
| N negative terms | 72 |
| N of observations | 117 |
| Mean of predictor | 0.22 |
| Mean of criterion | 1.19 |
| SD of predictor | 0.16 |
| SD of criterion | 0.40 |
| Covariance | 0.02 |
| r | 0.28 |
| b (slope, estimate of beta) | 0.68 |
| a (intercept, estimate of alpha) | 1.05 |
| Mean Square Error | 0.15 |
| DF error | 115 |
| t(b) | 3.12 |
| p(b) | 0.32 |
| t(a) | 1.81 |
| p(a) | 0.39 |
| Lowerbound of 95% confidence interval for beta | 0.25 |
| Upperbound of 95% confidence interval for beta | 1.11 |
| Lowerbound of 95% confidence interval for alpha | -0.10 |
| Upperbound of 95% confidence interval for alpha | 2.19 |
| Treynor index (mean / b) | 1.75 |
| Jensen alpha (a) | 1.05 |
| Mean | 1.12 |
| SD | 0.38 |
| Sharpe ratio (Glass type estimate) | 2.93 |
| Sharpe ratio (Hedges UMVUE) | 2.91 |
| df | 116 |
| t | 1.96 |
| p | 0.41 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.03 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 5.88 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.04 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 5.87 |
| Sortino ratio | 7.09 |
| Upside Potential Ratio | 11.94 |
| Upside part of mean | 1.88 |
| Downside part of mean | -0.76 |
| Upside SD | 0.35 |
| Downside SD | 0.16 |
| N nonnegative terms | 45 |
| N negative terms | 72 |
| N of observations | 117 |
| Mean of predictor | 0.20 |
| Mean of criterion | 1.12 |
| SD of predictor | 0.16 |
| SD of criterion | 0.38 |
| Covariance | 0.02 |
| r | 0.28 |
| b (slope, estimate of beta) | 0.65 |
| a (intercept, estimate of alpha) | 0.99 |
| Mean Square Error | 0.14 |
| DF error | 115 |
| t(b) | 3.11 |
| p(b) | 0.33 |
| t(a) | 1.79 |
| p(a) | 0.40 |
| Lowerbound of 95% confidence interval for beta | 0.24 |
| Upperbound of 95% confidence interval for beta | 1.07 |
| Lowerbound of 95% confidence interval for alpha | -0.11 |
| Upperbound of 95% confidence interval for alpha | 2.08 |
| Treynor index (mean / b) | 1.72 |
| Jensen alpha (a) | 0.99 |
| VaR(95%) | 0.03 |
| Expected Shortfall on VaR | 0.04 |
| VaR(95%) | 0.01 |
| Expected Shortfall on VaR | 0.02 |
| VAR (95 Confidence Intrvl) | 0.03 |
ORDER STATISTICS
| Number of observations | 5 |
|---|---|
| Minimum | 1.00 |
| Quartile 1 | 1.04 |
| Median | 1.11 |
| Quartile 3 | 1.16 |
| Maximum | 1.25 |
| Mean of quarter 1 | 1.02 |
| Mean of quarter 2 | 1.11 |
| Mean of quarter 3 | 1.16 |
| Mean of quarter 4 | 1.25 |
| Inter Quartile Range | 0.13 |
| 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 | 117 |
| Minimum | 0.93 |
| Quartile 1 | 1.00 |
| Median | 1 |
| Quartile 3 | 1.00 |
| Maximum | 1.18 |
| Mean of quarter 1 | 0.99 |
| Mean of quarter 2 | 1.00 |
| Mean of quarter 3 | 1.00 |
| Mean of quarter 4 | 1.03 |
| Inter Quartile Range | 0.00 |
| Number outliers low | 12 |
| Percentage of outliers low | 0.10 |
| Mean of outliers low | 0.98 |
| Number of outliers high | 20 |
| Percentage of outliers high | 0.17 |
| Mean of outliers high | 1.04 |
| Extreme Value Index (moments method) | 0.87 |
| VaR(95%) (moments method) | 0.01 |
| Expected Shortfall (moments method) | 0.06 |
| Extreme Value Index (regression method) | 0.46 |
| VaR(95%) (regression method) | 0.01 |
| Expected Shortfall (regression method) | 0.03 |
DRAW DOWN STATISTICS
| Number of observations | 1 |
|---|---|
| Minimum | 0.00 |
| Quartile 1 | 0.00 |
| Median | 0.00 |
| Quartile 3 | 0.00 |
| Maximum | 0.00 |
| 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 | 10 |
| Minimum | 0.00 |
| Quartile 1 | 0.00 |
| Median | 0.01 |
| Quartile 3 | 0.03 |
| Maximum | 0.14 |
| Mean of quarter 1 | 0.00 |
| Mean of quarter 2 | 0.00 |
| Mean of quarter 3 | 0.01 |
| Mean of quarter 4 | 0.09 |
| 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 | 0.20 |
| Mean of outliers high | 0.11 |
| Extreme Value Index (moments method) | -8.27 |
| VaR(95%) (moments method) | 0.08 |
| Expected Shortfall (moments method) | 0.08 |
| Extreme Value Index (regression method) | -0.84 |
| VaR(95%) (regression method) | 0.16 |
| Expected Shortfall (regression method) | 0.18 |
| Strat Max DD how much worse than SP500 max DD during strat life? | -365873728 |
| Max Equity Drawdown (num days) | 3 |
| Last 4 Months - Pcnt Negative | 0.8% |
COMBINED STATISTICS
| Annualized return (arithmetic extrapolation) | 1.60 |
|---|---|
| Compounded annual return (geometric extrapolation) | 2.41 |
| Calmar ratio (compounded annual return / max draw down) | 4739.39 |
| Compounded annual return / average of 25% largest draw downs | 0 |
| Compounded annual return / Expected Shortfall lognormal | 30.25 |
| j156mfCOMBRisPar | 0 |
| j157mfCOMBRisPar | 0 |
| Annualized return (arithmetic extrapolation) | 1.50 |
| Compounded annual return (geometric extrapolation) | 2.14 |
| Calmar ratio (compounded annual return / max draw down) | 15.55 |
| Compounded annual return / average of 25% largest draw downs | 24.96 |
| Compounded annual return / Expected Shortfall lognormal | 49.52 |
Trading record
Placed 212 trades in real-life brokerage accounts.
| Symbol | Side | Qty | Opened | Closed | P/L |
|---|---|---|---|---|---|
| NVDA2618R170 | long | 10 | Apr 10, 2026 | Jun 19, 2026 | ($5,197) |
| NVDA2622Q210 | short | 28 | May 14, 2026 | May 23, 2026 | $4,770 |
| INTC2615Q112 | short | 5 | May 11, 2026 | May 15, 2026 | ($517) |
| NVDA2615Q215 | short | 15 | May 13, 2026 | May 14, 2026 | $1,434 |
| NVDA2615Q207.5 | short | 8 | May 12, 2026 | May 13, 2026 | $434 |
| NVDA2615Q205 | short | 15 | May 8, 2026 | May 13, 2026 | $1,434 |
| NVDA2608Q190 | short | 25 | May 1, 2026 | May 7, 2026 | $2,315 |
| INTC2608Q88 | short | 4 | May 4, 2026 | May 5, 2026 | $246 |
| NVDA2601Q197.5 | short | 26 | Apr 24, 2026 | May 1, 2026 | $2,641 |
| NVDA2624P192.5 | short | 25 | Apr 20, 2026 | Apr 24, 2026 | $2,340 |
| XSP2621P706 | long | 1 | Apr 21, 2026 | Apr 22, 2026 | ($13) |
| XSP2621P708 | short | 1 | Apr 21, 2026 | Apr 22, 2026 | ($140) |
| NVDA2622D200 | long | 1 | Apr 21, 2026 | Apr 21, 2026 | ($97) |
| NVDA2622P200 | long | 5 | Apr 20, 2026 | Apr 21, 2026 | ($577) |
| NVDA2622D200 | long | 1 | Apr 20, 2026 | Apr 21, 2026 | ($1) |
| NVDA2620P200 | long | 10 | Apr 20, 2026 | Apr 20, 2026 | $96 |
| NVDA2620D200 | long | 1 | Apr 20, 2026 | Apr 20, 2026 | ($6) |
| NVDA2617P202.5 | long | 10 | Apr 17, 2026 | Apr 17, 2026 | $46 |
| NVDA2617D197.5 | long | 10 | Apr 17, 2026 | Apr 17, 2026 | $86 |
| NVDA2617D197.5 | long | 5 | Apr 16, 2026 | Apr 16, 2026 | $107 |
| NVDA2617P182.5 | short | 20 | Apr 10, 2026 | Apr 16, 2026 | $2,132 |
| NVDA2617P180 | short | 10 | Apr 13, 2026 | Apr 16, 2026 | $826 |
| NVDA2617D197.5 | long | 1 | Apr 16, 2026 | Apr 16, 2026 | $32 |
| NVDA2615P195 | long | 1 | Apr 14, 2026 | Apr 16, 2026 | ($146) |
| NVDA | short | 500 | Apr 11, 2026 | Apr 13, 2026 | ($5,595) |
| NVDA2610D175 | short | 5 | Mar 31, 2026 | Apr 11, 2026 | $857 |
| NVDA2610P170 | short | 20 | Apr 2, 2026 | Apr 8, 2026 | $1,692 |
| NVDA2627C182.5 | short | 5 | Mar 23, 2026 | Mar 26, 2026 | $438 |
| NVDA2601E175 | long | 5 | Mar 24, 2026 | Mar 25, 2026 | $1,588 |
| NVDA | long | 500 | Mar 21, 2026 | Mar 23, 2026 | $1,170 |
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.