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Buffalo Q

Equity · Stocks · Started Aug 2021

hypothetical · Annual Return (Compounded)
-3.5%
Max Drawdown
42.9%
Trades
30
Win Trades
53.3%
Profit Factor
0.70
Win Months
4.9%

About this strategy

****Keep a closed tracking of this strategy.
****It is FREE to add this strategy to your Watch List or to start Simulate.

If you have questions about my strategy, feel free to reach me out by email buffaloasset@gmail.com.

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Main difference between our two strategies
………………..............…………...Buffalo………….........……Buffalo Q...............
Focus:…………...........…………US large-cap stocks…..US tech stocks.....
Equity holding:………….......10 to 20…………......……5 to 10...................
Average trade per month:9..…………..........………….5.............................
Average holding time:…....1.5 month……….....…….1.5 month.............
Average leverage:………......1.3…………………..........…1.4..........................
Return:....…………………….....Moderate……….....……..High.......................
Risk:....……………….........…….Moderate……….....……..High.......................
------------------------------------------------------------------------------------------

****Description of strategy "Buffalo Q" ****
Although this strategy only deployed on Colletive2 in August 2021, I have been back-testing, optimising, and tracking real-time performance of this model for years. I saw promising results. I know it is weak to say how good our strategy is without having a Collective2 solid tracking record. You may want to wait for six months or more before subscription. However, if you are reading, add this strategy to your Watch List or start Simulate, it is free to do so. Track it for six months and see the result.

1. Summary
This strategy focuses on technology section and holds companies that have the most upward momentum.

2. Objective
To achieve an outsized return higher than SPX500 over the long term, with a lower maximum drawback.

3. System description
The theory behind this model is momentum. Stocks that have risen in the past tend to keep rising. Stocks that have done poorly tend to keep falling. Stocks that have the most upward momentum beat the market.
This strategy is fully algorithm based. It uses a diverse set of factors and multiple performance windows to rank assets from an asset pool. It only holds the top best-performing assets. The performance of each asset will be reviewed monthly. Generally, changes in asset allocation happen once a month especially on the last trading day of each month. At the time when there is no asset meeting its criteria, it simply holds cash.
To ensure best performance and avoid lack of liquidity, our asset pool is composed of carefully selected medium-large US stocks, index ETFs and Bond ETFs.

4. Key Features:
Fully algorithm based
Designed to scale up
Average 1.5 months holding time
Average 6 trades each month
Medium-large stocks and ETFs only strategy
Long-only strategy
AutoTrade (recommended, hassle-free) or manual.
Sophisticated risk management

5. Risk management
The following defensive strategy is used to protecting profits.
a. Hold and be patient. Keep a close eye on the market.
b. Close risky positions.
c. Reduce leverage
d. Add hedges to the portfolio, including Inverse ETFs and Bond ETFs.

Stop Loss is used and will be updated regularly as well.


********************************************************************************************************
FAQs
1. Should I copy open trades?
Yes

2. What is the minimum amount I should copy?
For AutoTraders, the recommended minimum amount is $20000 otherwise you may not 100% copy all my trades. Why? First, some stocks are not cheap. e.g. AMZN $3300/share, GOOGL $2800/share. Second, C2 AutoTrade rounds down fractions.
For manual traders, if your broker has fractional trading available, a minimum amount of $1000 will do, otherwise recommended minimum amount is $20000.

3. When is the best time to start copying?
The best time is now. You have to enter the market, in order to beat the market. As a long-term investor, the daily movements in markets will ultimately have a marginal effect on your returns.

4. Does this system need to be AutoTraded?
AutoTrade is recommended, hassle-free.
Manual trading also works.
As we know that AutoTrade is not supported by all brokers, you can copy my positions manually. Signals will be sent by C2 system-generated emails at the same time when I enter/close positions. You could simply copy my trade at market price. It is been back-tested that there is not much difference in returns between trading by using end of day price and trading by using the next day open price. Manual trading may have a little advantage which is you could 100% copy my portfolio if your broker has fractional trading available. Why? Because C2 AutoTrade rounds down fractions.

For manual traders, make sure you have C2 signal alerts turned on. Refer to https://support.collective2.com/hc/en-us/articles/115013734467-Can-I-receive-real-time-signal-alerts-

5. Do you short stocks?
No.

6. Do you use leverage?
Yes, average 1.5 leverage

7. Do you use Stops?
Yes, our strategy has a 20% Stop Loss at portfolio level, and will be updated regularly.

8. How do I set up Auto Stop Loss?
Choose "No custom stop loss. Follow strategy rules." (Recommended)
If you want to set up a custom stop loss, make it as more than 30% of every position. A stop-loss that is too small pretty much guarantees you to sell at the worst time possible. We use inverse ETFs and bond ETFs to protect our positions when necessary. Follow our strategy rules. Don't panic sell. The last thing you want is for your positions to be sold when the market crashes.

9. Which account type should I have?
Your account must have permission to trade stocks (Long) and ETF(Long). We may buy inverse ETFs (e.g. SH, PSQ) to hedge against market crashes but we DO NOT short stocks.
1). Margin account is recommended. (Recommend 100% AutoTrade Scaling)
2). Non-margin account including Cash account, Individual Retirement Account (IRA) or Self-Managed Superannuation Fund account (SMSF) also works. HOWEVER, as we know, these accounts don't allow you to borrow funds. As my strategy uses an average 1.5X leverage, please set your AutoTrade Scaling as 60% or under, otherwise, you may not copy all my positions or you may exceed your account limit.

10. How much scaling should I use?
1). For margin account holders, recommended Scaling= (the amount you wish to allocate / my model account equity)*100%.
Example:
Strategy’s current Model Account equity is $50,000.
You wish to allocate $40,000 to my strategy.
You might consider doing the following: set your AutoTrade Scaling to 80% = 40000/50000*100%.
2). For non-margin account holders, recommended Scaling= (the amount you wish to allocate / my model account equity)*100%*60%.
Our strategy uses 1.5x leverage, you cannot borrow funds and you do not want to exceed your account limit.
Example:
Strategy’s current Model Account equity is $50,000.
You wish to allocate $40,000 to my strategy.
You might consider doing the following: set your AutoTrade Scaling to 48% = (40000/50000)*100%*60%.

About Scaling, refer to https://support.collective2.com/hc/en-us/articles/115008510008-AutoTrade-Setting-Scaling-How-big-or-small-should-I-make-my-scaling-

Trend-following

Hypothetical Monthly Returns (includes fees/commissions)

YearJanFebMarAprMayJunJulAugSepOctNovDecYTD
202114.7-10.328.05.6-0.238.8
2022-23.9-6.9-15.20.00.00.00.00.00.00.00.00.0-39.9
20230.00.00.00.00.00.00.00.00.00.00.00.00.0
20240.00.00.00.00.00.00.00.00.00.00.00.00.0
20250.00.00.00.00.00.00.00.00.00.00.00.00.0
20260.00.00.00.00.00.00.00.0

Statistics

Overview

Strategy began8/9/2021
Suggested Minimum Capital$50,000
Age62 months
What it tradesStocks
# Trades30
# Profitable16
% Profitable53.3%
Avg trade duration42.9 days
Max peak-to-valley drawdown42.9%
drawdown periodJan 04, 2022 - March 10, 2022
Annual Return (Compounded)-3.5%
Avg win$1,273
Avg loss$2,008

Ratios

W:L ratio0.73
Sharpe Ratio-0.29
Sortino Ratio-0.40
Calmar Ratio-0.33

CORRELATION STATISTICS

Correlation to SP5000.09
Return Percent SP500 (cumu) during strategy life72.3%
Return of Strat Pcnt - Return of SP500 Pcnt (cumu)-90.5%

Return Statistics

Ann Return (w trading costs)-3.5%
Return Pcnt (Compound or Annual, age-based, NFA compliant)-0.0%
Return Pcnt Since TOS Status0.0%
Ann Return (Compnd, No Fees)-3.2%

Slump

Current Slump as Pcnt Equity74.8%
Current Slump, time of slump as pcnt of strategy life0.9%

Instruments

Percent Trades Forex0.0%
Percent Trades Futures0.0%
Percent Trades Options0.0%
Short Options - Percent Covered100.0%
Percent Trades Stocks1.0%

Risk of Ruin (Monte-Carlo)

Chance of 10% account loss100.0%
Chance of 20% account loss80.0%
Chance of 30% account loss29.5%
Chance of 40% account loss4.5%
Chance of 50% account loss0.5%
Chance of 60% account loss (Monte Carlo)0.0%
Chance of 70% account loss (Monte Carlo)0.0%
Chance of 80% account loss (Monte Carlo)0.0%
Chance of 90% account loss (Monte Carlo)0.0%

Automation

Percentage Signals Automated0.0%

Popularity

Popularity (Today)0
Popularity (Last 6 weeks)0
Popularity (7 days, Percentile 1000 scale)0

Trading Style

Any stock shorts? 0/10

Trades-Own-System Certification

Trades Own System?0
TOS percent0.0%

Win / Loss

Avg Loss$2,008
Avg Win$1,272
# Winners16
Sum Trade PL (losers)$28,118
Sum Trade PL (winners)$20,360
Num Months Winners3
# Losers14
% Winners53.3%

Dividends

Dividends Received in Model Acct182

Age

Num Months filled monthly returns table61

Frequency

Avg Position Time (mins)61725
Avg Position Time (hrs)1028.75
Avg Trade Length42.90
Last Trade Ago1632

Leverage

Daily leverage (average)1.83
Daily leverage (max)4.29

Regression

Alpha-0.01
Beta0.07
Treynor Index-0.18

Maximum Adverse Excursion (MAE)

MAE:Equity, average, all trades0.03
MAE:Equity, 95th Percentile Value for this strat0.05
MAE:Equity, average, losing trades0.04
MAE:Equity, losing trades only, 95th Percentile Value for this strat
MAE:Equity, average, winning trades0.01
MAE:Equity, win trades only, 95th Percentile Value for this strat
Avg(MAE) / Avg(PL) - All trades-4.93
MAE:PL (avg, all trades)-0.07
MAE:PL (avg, losing trades)
MAE:PL (avg, winning trades)
MAE:PL - worst single value for strategy
Avg(MAE) / Avg(PL) - Winning trades0.41
Avg(MAE) / Avg(PL) - Losing trades-1.06
Hold-and-Hope Ratio-0.20

RATIO STATISTICS

Mean-0.07
SD0.49
Sharpe ratio (Glass type estimate)-0.14
Sharpe ratio (Hedges UMVUE)-0.14
df12
t-0.15
p0.52
Lowerbound of 95% confidence interval for Sharpe Ratio-2.03
Upperbound of 95% confidence interval for Sharpe Ratio1.74
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-2.02
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation1.75
Sortino ratio-0.23
Upside Potential Ratio1.55
Upside part of mean0.48
Downside part of mean-0.55
Upside SD0.35
Downside SD0.31
N nonnegative terms3
N negative terms10
N of observations13
Mean of predictor0.50
Mean of criterion-0.07
SD of predictor0.33
SD of criterion0.49
Covariance0.05
r0.29
b (slope, estimate of beta)0.42
a (intercept, estimate of alpha)-0.28
Mean Square Error0.24
DF error11
t(b)1.00
p(b)0.17
t(a)-0.55
p(a)0.70
Lowerbound of 95% confidence interval for beta-0.51
Upperbound of 95% confidence interval for beta1.36
Lowerbound of 95% confidence interval for alpha-1.41
Upperbound of 95% confidence interval for alpha0.85
Treynor index (mean / b)-0.17
Jensen alpha (a)-0.28
Mean-0.18
SD0.48
Sharpe ratio (Glass type estimate)-0.37
Sharpe ratio (Hedges UMVUE)-0.35
df12
t-0.39
p0.56
Lowerbound of 95% confidence interval for Sharpe Ratio-2.25
Upperbound of 95% confidence interval for Sharpe Ratio1.53
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-2.23
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation1.54
Sortino ratio-0.51
Upside Potential Ratio1.22
Upside part of mean0.42
Downside part of mean-0.60
Upside SD0.31
Downside SD0.35
N nonnegative terms3
N negative terms10
N of observations13
Mean of predictor0.44
Mean of criterion-0.18
SD of predictor0.31
SD of criterion0.48
Covariance0.05
r0.33
b (slope, estimate of beta)0.52
a (intercept, estimate of alpha)-0.41
Mean Square Error0.23
DF error11
t(b)1.17
p(b)0.13
t(a)-0.82
p(a)0.79
Lowerbound of 95% confidence interval for beta-0.45
Upperbound of 95% confidence interval for beta1.49
Lowerbound of 95% confidence interval for alpha-1.50
Upperbound of 95% confidence interval for alpha0.68
Treynor index (mean / b)-0.35
Jensen alpha (a)-0.41
VaR(95%)0.22
Expected Shortfall on VaR0.26
VaR(95%)0.14
Expected Shortfall on VaR0.25
Mean-0.14
SD0.27
Sharpe ratio (Glass type estimate)-0.51
Sharpe ratio (Hedges UMVUE)-0.50
df287
t-0.53
p0.70
Lowerbound of 95% confidence interval for Sharpe Ratio-2.37
Upperbound of 95% confidence interval for Sharpe Ratio1.36
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-2.37
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation1.37
Sortino ratio-0.70
Upside Potential Ratio6.10
Upside part of mean1.21
Downside part of mean-1.35
Upside SD0.19
Downside SD0.20
N nonnegative terms72
N negative terms216
N of observations288
Mean of predictor0.54
Mean of criterion-0.14
SD of predictor0.32
SD of criterion0.27
Covariance0.01
r0.10
b (slope, estimate of beta)0.09
a (intercept, estimate of alpha)-0.19
Mean Square Error0.07
DF error286
t(b)1.77
p(b)0.04
t(a)-0.71
p(a)0.76
Lowerbound of 95% confidence interval for beta-0.01
Upperbound of 95% confidence interval for beta0.19
Lowerbound of 95% confidence interval for alpha-0.70
Upperbound of 95% confidence interval for alpha0.33
Treynor index (mean / b)-1.54
Jensen alpha (a)-0.19
Mean-0.18
SD0.27
Sharpe ratio (Glass type estimate)-0.64
Sharpe ratio (Hedges UMVUE)-0.64
df287
t-0.67
p0.75
Lowerbound of 95% confidence interval for Sharpe Ratio-2.51
Upperbound of 95% confidence interval for Sharpe Ratio1.23
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-2.51
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation1.23
Sortino ratio-0.87
Upside Potential Ratio5.89
Upside part of mean1.19
Downside part of mean-1.37
Upside SD0.19
Downside SD0.20
N nonnegative terms72
N negative terms216
N of observations288
Mean of predictor0.48
Mean of criterion-0.18
SD of predictor0.32
SD of criterion0.27
Covariance0.01
r0.11
b (slope, estimate of beta)0.09
a (intercept, estimate of alpha)-0.22
Mean Square Error0.07
DF error286
t(b)1.80
p(b)0.04
t(a)-0.84
p(a)0.80
Lowerbound of 95% confidence interval for beta-0.01
Upperbound of 95% confidence interval for beta0.19
Lowerbound of 95% confidence interval for alpha-0.74
Upperbound of 95% confidence interval for alpha0.30
Treynor index (mean / b)-1.92
Jensen alpha (a)-0.22
VaR(95%)0.03
Expected Shortfall on VaR0.04
VaR(95%)0.02
Expected Shortfall on VaR0.03
Mean-0.03
SD0
Sharpe ratio (Glass type estimate)0
Sharpe ratio (Hedges UMVUE)0
df0
t0
p0
Lowerbound of 95% confidence interval for Sharpe Ratio0
Upperbound of 95% confidence interval for Sharpe Ratio0
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation0
Sortino ratio-16.19
Upside Potential Ratio0
Upside part of mean0
Downside part of mean-0.03
Upside SD0
Downside SD0.00
N nonnegative terms0
N negative terms131
N of observations131
Mean of predictor1.17
Mean of criterion-0.03
SD of predictor0.41
SD of criterion0
Covariance0
r0
b (slope, estimate of beta)0
a (intercept, estimate of alpha)0
Mean Square Error0
DF error0
t(b)0
p(b)0
t(a)0
p(a)0
Lowerbound of 95% confidence interval for beta0
Upperbound of 95% confidence interval for beta0
Lowerbound of 95% confidence interval for alpha0
Upperbound of 95% confidence interval for alpha0
Treynor index (mean / b)0
Jensen alpha (a)0
Mean-0.03
SD0
Sharpe ratio (Glass type estimate)-9.74841826823373e+15
Sharpe ratio (Hedges UMVUE)-9.69206937105203e+15
df130
t-6893172865105920
p1
Lowerbound of 95% confidence interval for Sharpe Ratio0
Upperbound of 95% confidence interval for Sharpe Ratio0
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-1.08701574255084e+16
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation-8513981316595712
Sortino ratio-16.19
Upside Potential Ratio0
Upside part of mean0
Downside part of mean-0.03
Upside SD0
Downside SD0.00
N nonnegative terms0
N negative terms131
N of observations131
Mean of predictor1.08
Mean of criterion-0.03
SD of predictor0.42
SD of criterion0
Covariance0
r0
b (slope, estimate of beta)0
a (intercept, estimate of alpha)-0.03
Mean Square Error0
DF error129
t(b)0
p(b)0.50
t(a)-6779752442494976
p(a)1
Lowerbound of 95% confidence interval for beta0
VAR (95 Confidence Intrvl)0.03
Upperbound of 95% confidence interval for beta0
Lowerbound of 95% confidence interval for alpha-0.03
Upperbound of 95% confidence interval for alpha-0.03
Treynor index (mean / b)-5.89608112906218e+31
Jensen alpha (a)-0.03
VaR(95%)0.00
Expected Shortfall on VaR0.00
VaR(95%)0
Expected Shortfall on VaR0

ORDER STATISTICS

Number of observations13
Minimum0.73
Quartile 10.92
Median1
Quartile 31
Maximum1.33
Mean of quarter 10.86
Mean of quarter 20.99
Mean of quarter 31
Mean of quarter 41.17
Inter Quartile Range0.08
Number outliers low1
Percentage of outliers low0.08
Mean of outliers low0.73
Number of outliers high2
Percentage of outliers high0.15
Mean of outliers high1.25
Extreme Value Index (moments method)0.41
VaR(95%) (moments method)0.17
Expected Shortfall (moments method)0.31
Extreme Value Index (regression method)1.58
VaR(95%) (regression method)0.22
Expected Shortfall (regression method)0
Number of observations288
Minimum0.93
Quartile 11.00
Median1
Quartile 31.00
Maximum1.06
Mean of quarter 10.98
Mean of quarter 21.00
Mean of quarter 31
Mean of quarter 41.02
Inter Quartile Range0.00
Number outliers low59
Percentage of outliers low0.20
Mean of outliers low0.98
Number of outliers high60
Percentage of outliers high0.21
Mean of outliers high1.02
Extreme Value Index (moments method)-0.68
VaR(95%) (moments method)0.01
Expected Shortfall (moments method)0.01
Extreme Value Index (regression method)-0.13
VaR(95%) (regression method)0.02
Expected Shortfall (regression method)0.03
Number of observations131
Minimum1
Quartile 11
Median1
Quartile 31
Maximum1
Mean of quarter 11
Mean of quarter 21
Mean of quarter 31
Mean of quarter 41
Inter Quartile Range0
Number outliers low0
Percentage of outliers low0
Mean of outliers low0
Number of outliers high0
Percentage of outliers high0
Mean of outliers high0
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

DRAW DOWN STATISTICS

Number of observations2
Minimum0.09
Quartile 10.17
Median0.25
Quartile 30.33
Maximum0.41
Mean of quarter 10.09
Mean of quarter 20
Mean of quarter 30
Mean of quarter 40.41
Inter Quartile Range0.16
Number outliers low0
Percentage of outliers low0
Mean of outliers low0
Number of outliers high0
Percentage of outliers high0
Mean of outliers high0
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 observations7
Minimum0.00
Quartile 10.00
Median0.03
Quartile 30.09
Maximum0.42
Mean of quarter 10.00
Mean of quarter 20.02
Mean of quarter 30.03
Mean of quarter 40.29
Inter Quartile Range0.09
Number outliers low0
Percentage of outliers low0
Mean of outliers low0
Number of outliers high1
Percentage of outliers high0.14
Mean of outliers high0.42
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 observations0
Minimum0
Quartile 10
Median0
Quartile 30
Maximum0
Mean of quarter 10
Mean of quarter 20
Mean of quarter 30
Mean of quarter 40
Inter Quartile Range0
Number outliers low0
Percentage of outliers low0
Mean of outliers low0
Number of outliers high0
Percentage of outliers high0
Mean of outliers high0
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?-375928544
Max Equity Drawdown (num days)65
Last 4 Months - Pcnt Negative0.0%

COMBINED STATISTICS

Annualized return (arithmetic extrapolation)-0.14
Compounded annual return (geometric extrapolation)-0.14
Calmar ratio (compounded annual return / max draw down)-0.34
Compounded annual return / average of 25% largest draw downs-0.34
Compounded annual return / Expected Shortfall lognormal-0.54
j156mfCOMBRisPar0
j157mfCOMBRisPar0
Annualized return (arithmetic extrapolation)-0.14
Compounded annual return (geometric extrapolation)-0.14
Calmar ratio (compounded annual return / max draw down)-0.33
Compounded annual return / average of 25% largest draw downs-0.48
Compounded annual return / Expected Shortfall lognormal-3.94
j313dfCOMBRisPar0
j314dfCOMBRisPar0
Annualized return (arithmetic extrapolation)0
Compounded annual return (geometric extrapolation)0
Calmar ratio (compounded annual return / max draw down)0
Compounded annual return / average of 25% largest draw downs0
Compounded annual return / Expected Shortfall lognormal0

Trading record

Placed 47 trades in real-life brokerage accounts.

SymbolSideQtyOpenedClosedP/L
UBT long1839Jan 28, 2022Mar 10, 2022($10,395)
AMAT long72Jan 13, 2022Jan 28, 2022($2,502)
KLAC long28Jan 10, 2022Jan 28, 2022($1,891)
MU long124Jan 10, 2022Jan 28, 2022($1,886)
TSLA long11Dec 31, 2021Jan 28, 2022($2,488)
AAPL long65Dec 13, 2021Jan 28, 2022($847)
MRVL long162Nov 30, 2021Jan 21, 2022$720
QCOM long67Nov 15, 2021Jan 20, 2022$173
AVGO long18Dec 13, 2021Jan 18, 2022($734)
COST long22Nov 15, 2021Jan 10, 2022$42
NVDA long52Aug 31, 2021Jan 10, 2022$2,500
AMD long107Oct 1, 2021Jan 10, 2022$3,094
INTU long18Aug 31, 2021Dec 17, 2021$898
LULU long25Nov 30, 2021Dec 13, 2021($1,173)
KLAC long28Nov 24, 2021Dec 13, 2021($218)
MSFT long34Oct 29, 2021Nov 30, 2021$140
TEAM long27Aug 31, 2021Nov 30, 2021$375
NFLX long16Oct 1, 2021Nov 23, 2021$803
TSLA long13Oct 1, 2021Nov 15, 2021$3,155
CRWD long39Oct 29, 2021Nov 15, 2021($613)
COST long22Oct 1, 2021Oct 29, 2021$921
ISRG long30Aug 31, 2021Oct 29, 2021$158
DOCU long34Aug 31, 2021Oct 1, 2021($1,298)
ASML long12Aug 31, 2021Oct 1, 2021($1,092)
ADBE long15Aug 31, 2021Oct 1, 2021($1,316)
REGN long15Aug 31, 2021Oct 1, 2021($1,679)
ASML long31Aug 9, 2021Aug 31, 2021$1,243
NVDA long122Aug 9, 2021Aug 31, 2021$2,222
INTU long47Aug 9, 2021Aug 31, 2021$1,341
TEAM long75Aug 9, 2021Aug 31, 2021$2,560

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.