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StateMachine

Equity · Stocks · Started Jul 2021

hypothetical · Annual Return (Compounded)
7.1%
Max Drawdown
18.1%
Trades
53
Win Trades
50.9%
Profit Factor
3.60
Win Months
54.8%

About this strategy

StateMachine is a quantitative strategy that swing trades unleveraged assets according to what "state" the U.S. economy is in. Assets held include SPY, SVXY, and GLD. The strategy manager is Peter Alaric DeSimone (a.k.a. "Pete Laric"), Chief Quantitative Analyst at Aitros Analytics.

Short-term Reversal

Hypothetical Monthly Returns (includes fees/commissions)

YearJanFebMarAprMayJunJulAugSepOctNovDecYTD
2021-1.53.8-5.46.8-4.45.74.3
2022-2.7-4.82.6-6.21.6-1.72.8-1.7-4.81.40.6-1.1-13.6
20230.5-1.62.3-0.4-1.1-0.81.1-1.2-1.63.01.60.31.9
2024-0.60.15.71.4-0.3-0.11.62.72.61.7-2.2-0.312.8
20252.62.25.14.1-0.7-0.62.3-0.57.14.03.04.938.9
20264.54.4-8.80.4-0.3-4.3-1.75.4

Statistics

Overview

Strategy began7/7/2021
Suggested Minimum Capital$10,000
Age63 months
What it tradesStocks
# Trades53
# Profitable27
% Profitable50.9%
Avg trade duration38.7 days
Max peak-to-valley drawdown18.1%
drawdown periodNov 18, 2021 - Oct 07, 2023
Annual Return (Compounded)7.1%
Avg win$262
Avg loss$79

Ratios

W:L ratio3.57
Sharpe Ratio0.43
Sortino Ratio0.62
Calmar Ratio1.45

CORRELATION STATISTICS

Correlation to SP5000.36
Return Percent SP500 (cumu) during strategy life75.2%
Return of Strat Pcnt - Return of SP500 Pcnt (cumu)-34.9%

Return Statistics

Ann Return (w trading costs)7.1%
Return Pcnt (Compound or Annual, age-based, NFA compliant)0.1%
Return Pcnt Since TOS Status0.0%
Ann Return (Compnd, No Fees)8.5%

Slump

Current Slump as Pcnt Equity10.5%
Current Slump, time of slump as pcnt of strategy life0.1%

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 loss53.5%
Chance of 20% account loss10.0%
Chance of 30% account loss0.0%
Chance of 40% account loss0.0%
Chance of 50% account loss0.0%
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 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$79
Avg Win$262
# Winners27
Sum Trade PL (losers)$2,054
Sum Trade PL (winners)$7,072
Num Months Winners34
# Losers26
% Winners50.9%

Dividends

Dividends Received in Model Acct265

Age

Num Months filled monthly returns table62

Frequency

Avg Position Time (mins)55759.15
Avg Position Time (hrs)929.32
Avg Trade Length38.70
Last Trade Ago1181

Leverage

Daily leverage (average)0.63
Daily leverage (max)1.07

Regression

Alpha0.01
Beta0.24
Treynor Index0.06

Maximum Adverse Excursion (MAE)

MAE:Equity, average, all trades0.02
MAE:Equity, 95th Percentile Value for this strat0.01
MAE:Equity, average, losing trades0.02
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 trades1.48
MAE:PL (avg, all trades)0.68
MAE:PL (avg, losing trades)
MAE:PL (avg, winning trades)
MAE:PL - worst single value for strategy
Avg(MAE) / Avg(PL) - Winning trades0.35
Avg(MAE) / Avg(PL) - Losing trades-2.38
Hold-and-Hope Ratio0.66

RATIO STATISTICS

Mean0.17
SD0.20
Sharpe ratio (Glass type estimate)0.81
Sharpe ratio (Hedges UMVUE)0.79
df24
t1.17
p0.13
Lowerbound of 95% confidence interval for Sharpe Ratio-0.57
Upperbound of 95% confidence interval for Sharpe Ratio2.18
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.59
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation2.16
Sortino ratio2.77
Upside Potential Ratio4.69
Upside part of mean0.28
Downside part of mean-0.11
Upside SD0.20
Downside SD0.06
N nonnegative terms11
N negative terms14
N of observations25
Mean of predictor0.22
Mean of criterion0.17
SD of predictor0.24
SD of criterion0.20
Covariance0.04
r0.76
b (slope, estimate of beta)0.64
a (intercept, estimate of alpha)0.03
Mean Square Error0.02
DF error23
t(b)5.56
p(b)0.00
t(a)0.27
p(a)0.39
Lowerbound of 95% confidence interval for beta0.40
Upperbound of 95% confidence interval for beta0.89
Lowerbound of 95% confidence interval for alpha-0.18
Upperbound of 95% confidence interval for alpha0.23
Treynor index (mean / b)0.26
Jensen alpha (a)0.03
Mean0.15
SD0.19
Sharpe ratio (Glass type estimate)0.78
Sharpe ratio (Hedges UMVUE)0.75
df24
t1.12
p0.14
Lowerbound of 95% confidence interval for Sharpe Ratio-0.61
Upperbound of 95% confidence interval for Sharpe Ratio2.14
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.62
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation2.13
Sortino ratio2.41
Upside Potential Ratio4.31
Upside part of mean0.26
Downside part of mean-0.12
Upside SD0.18
Downside SD0.06
N nonnegative terms11
N negative terms14
N of observations25
Mean of predictor0.19
Mean of criterion0.15
SD of predictor0.23
SD of criterion0.19
Covariance0.03
r0.76
b (slope, estimate of beta)0.62
a (intercept, estimate of alpha)0.03
Mean Square Error0.02
DF error23
t(b)5.57
p(b)0.00
t(a)0.34
p(a)0.37
Lowerbound of 95% confidence interval for beta0.39
Upperbound of 95% confidence interval for beta0.85
Lowerbound of 95% confidence interval for alpha-0.15
Upperbound of 95% confidence interval for alpha0.22
Treynor index (mean / b)0.24
Jensen alpha (a)0.03
VaR(95%)0.07
Expected Shortfall on VaR0.10
VaR(95%)0.02
Expected Shortfall on VaR0.04
Mean0.18
SD0.16
Sharpe ratio (Glass type estimate)1.14
Sharpe ratio (Hedges UMVUE)1.13
df565
t1.67
p0.05
Lowerbound of 95% confidence interval for Sharpe Ratio-0.20
Upperbound of 95% confidence interval for Sharpe Ratio2.47
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.20
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation2.47
Sortino ratio1.68
Upside Potential Ratio8.10
Upside part of mean0.87
Downside part of mean-0.69
Upside SD0.12
Downside SD0.11
N nonnegative terms302
N negative terms264
N of observations566
Mean of predictor0.27
Mean of criterion0.18
SD of predictor0.25
SD of criterion0.16
Covariance0.01
r0.36
b (slope, estimate of beta)0.23
a (intercept, estimate of alpha)0.12
Mean Square Error0.02
DF error564
t(b)9.25
p(b)0
t(a)1.17
p(a)0.12
Lowerbound of 95% confidence interval for beta0.18
Upperbound of 95% confidence interval for beta0.28
Lowerbound of 95% confidence interval for alpha-0.08
Upperbound of 95% confidence interval for alpha0.32
Treynor index (mean / b)0.78
Jensen alpha (a)0.12
Mean0.17
SD0.16
Sharpe ratio (Glass type estimate)1.06
Sharpe ratio (Hedges UMVUE)1.05
df565
t1.55
p0.06
Lowerbound of 95% confidence interval for Sharpe Ratio-0.28
Upperbound of 95% confidence interval for Sharpe Ratio2.39
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation-0.28
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation2.39
Sortino ratio1.54
Upside Potential Ratio7.92
Upside part of mean0.86
Downside part of mean-0.69
Upside SD0.12
Downside SD0.11
N nonnegative terms302
N negative terms264
N of observations566
Mean of predictor0.24
Mean of criterion0.17
SD of predictor0.25
SD of criterion0.16
Covariance0.01
r0.36
b (slope, estimate of beta)0.23
a (intercept, estimate of alpha)0.11
Mean Square Error0.02
DF error564
t(b)9.21
p(b)0
t(a)1.12
p(a)0.13
Lowerbound of 95% confidence interval for beta0.18
Upperbound of 95% confidence interval for beta0.28
Lowerbound of 95% confidence interval for alpha-0.09
Upperbound of 95% confidence interval for alpha0.31
Treynor index (mean / b)0.72
Jensen alpha (a)0.11
VaR(95%)0.02
Expected Shortfall on VaR0.02
VaR(95%)0.01
Expected Shortfall on VaR0.01
Mean0.82
SD0.23
Sharpe ratio (Glass type estimate)3.59
Sharpe ratio (Hedges UMVUE)3.57
df130
t2.54
p0.39
Lowerbound of 95% confidence interval for Sharpe Ratio0.78
Upperbound of 95% confidence interval for Sharpe Ratio6.39
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.76
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation6.38
Sortino ratio5.96
Upside Potential Ratio11.56
Upside part of mean1.60
Downside part of mean-0.77
Upside SD0.19
Downside SD0.14
N nonnegative terms72
N negative terms59
N of observations131
Mean of predictor1.28
Mean of criterion0.82
SD of predictor0.34
SD of criterion0.23
Covariance0.01
r0.12
b (slope, estimate of beta)0.08
a (intercept, estimate of alpha)0.72
Mean Square Error0.05
DF error129
t(b)1.41
p(b)0.42
t(a)2.16
p(a)0.38
Lowerbound of 95% confidence interval for beta-0.03
Upperbound of 95% confidence interval for beta0.20
Lowerbound of 95% confidence interval for alpha0.06
Upperbound of 95% confidence interval for alpha1.38
Treynor index (mean / b)9.87
Jensen alpha (a)0.72
Mean0.80
SD0.23
Sharpe ratio (Glass type estimate)3.47
Sharpe ratio (Hedges UMVUE)3.45
df130
t2.46
p0.39
Lowerbound of 95% confidence interval for Sharpe Ratio0.66
Upperbound of 95% confidence interval for Sharpe Ratio6.27
Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation0.65
Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation6.26
Sortino ratio5.65
Upside Potential Ratio11.21
Upside part of mean1.58
Downside part of mean-0.78
Upside SD0.19
Downside SD0.14
N nonnegative terms72
N negative terms59
N of observations131
Mean of predictor1.22
Mean of criterion0.80
SD of predictor0.34
SD of criterion0.23
Covariance0.01
r0.12
b (slope, estimate of beta)0.08
a (intercept, estimate of alpha)0.70
Mean Square Error0.05
DF error129
t(b)1.39
p(b)0.42
t(a)2.10
p(a)0.38
Lowerbound of 95% confidence interval for beta-0.04
VAR (95 Confidence Intrvl)0.01
Upperbound of 95% confidence interval for beta0.20
Lowerbound of 95% confidence interval for alpha0.04
Upperbound of 95% confidence interval for alpha1.35
Treynor index (mean / b)9.66
Jensen alpha (a)0.70
VaR(95%)0.02
Expected Shortfall on VaR0.03
VaR(95%)0.01
Expected Shortfall on VaR0.01

ORDER STATISTICS

Number of observations25
Minimum0.95
Quartile 10.99
Median1.00
Quartile 31.03
Maximum1.24
Mean of quarter 10.97
Mean of quarter 21.00
Mean of quarter 31.01
Mean of quarter 41.09
Inter Quartile Range0.04
Number outliers low0
Percentage of outliers low0
Mean of outliers low0
Number of outliers high2
Percentage of outliers high0.08
Mean of outliers high1.19
Extreme Value Index (moments method)-4.51
VaR(95%) (moments method)0.02
Expected Shortfall (moments method)0.02
Extreme Value Index (regression method)-0.57
VaR(95%) (regression method)0.04
Expected Shortfall (regression method)0.04
Number of observations566
Minimum0.94
Quartile 11.00
Median1.00
Quartile 31.00
Maximum1.04
Mean of quarter 10.99
Mean of quarter 21.00
Mean of quarter 31.00
Mean of quarter 41.01
Inter Quartile Range0.01
Number outliers low44
Percentage of outliers low0.08
Mean of outliers low0.98
Number of outliers high51
Percentage of outliers high0.09
Mean of outliers high1.02
Extreme Value Index (moments method)0.53
VaR(95%) (moments method)0.01
Expected Shortfall (moments method)0.02
Extreme Value Index (regression method)0.22
VaR(95%) (regression method)0.01
Expected Shortfall (regression method)0.01
Number of observations131
Minimum0.94
Quartile 11.00
Median1.00
Quartile 31.01
Maximum1.04
Mean of quarter 10.99
Mean of quarter 21.00
Mean of quarter 31.00
Mean of quarter 41.02
Inter Quartile Range0.01
Number outliers low8
Percentage of outliers low0.06
Mean of outliers low0.97
Number of outliers high9
Percentage of outliers high0.07
Mean of outliers high1.03
Extreme Value Index (moments method)0.99
VaR(95%) (moments method)0.01
Expected Shortfall (moments method)1.09
Extreme Value Index (regression method)0.61
VaR(95%) (regression method)0.01
Expected Shortfall (regression method)0.03

DRAW DOWN STATISTICS

Number of observations3
Minimum0.02
Quartile 10.02
Median0.02
Quartile 30.06
Maximum0.11
Mean of quarter 10.02
Mean of quarter 20.02
Mean of quarter 30
Mean of quarter 40.11
Inter Quartile Range0.05
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 observations15
Minimum0.00
Quartile 10.01
Median0.01
Quartile 30.04
Maximum0.15
Mean of quarter 10.00
Mean of quarter 20.01
Mean of quarter 30.03
Mean of quarter 40.10
Inter Quartile Range0.04
Number outliers low0
Percentage of outliers low0
Mean of outliers low0
Number of outliers high2
Percentage of outliers high0.13
Mean of outliers high0.14
Extreme Value Index (moments method)-4.20
VaR(95%) (moments method)0.11
Expected Shortfall (moments method)0.11
Extreme Value Index (regression method)-1.44
VaR(95%) (regression method)0.16
Expected Shortfall (regression method)0.17
Number of observations11
Minimum0.00
Quartile 10.01
Median0.01
Quartile 30.02
Maximum0.15
Mean of quarter 10.01
Mean of quarter 20.01
Mean of quarter 30.01
Mean of quarter 40.07
Inter Quartile Range0.01
Number outliers low0
Percentage of outliers low0
Mean of outliers low0
Number of outliers high1
Percentage of outliers high0.09
Mean of outliers high0.15
Extreme Value Index (moments method)0.76
VaR(95%) (moments method)0.08
Expected Shortfall (moments method)0.36
Extreme Value Index (regression method)4.95
VaR(95%) (regression method)0.33
Expected Shortfall (regression method)0
Strat Max DD how much worse than SP500 max DD during strat life?-402589216
Max Equity Drawdown (num days)688
Last 4 Months - Pcnt Negative0.8%

COMBINED STATISTICS

Annualized return (arithmetic extrapolation)0.21
Compounded annual return (geometric extrapolation)0.19
Calmar ratio (compounded annual return / max draw down)1.75
Compounded annual return / average of 25% largest draw downs1.75
Compounded annual return / Expected Shortfall lognormal2.00
j156mfCOMBRisPar0
j157mfCOMBRisPar0
Annualized return (arithmetic extrapolation)0.24
Compounded annual return (geometric extrapolation)0.22
Calmar ratio (compounded annual return / max draw down)1.45
Compounded annual return / average of 25% largest draw downs2.08
Compounded annual return / Expected Shortfall lognormal11.13
j313dfCOMBRisPar0
j314dfCOMBRisPar0
Annualized return (arithmetic extrapolation)1.02
Compounded annual return (geometric extrapolation)1.28
Calmar ratio (compounded annual return / max draw down)8.62
Compounded annual return / average of 25% largest draw downs18.36
Compounded annual return / Expected Shortfall lognormal49.59

Trading record

Placed 18 trades in real-life brokerage accounts.

SymbolSideQtyOpenedClosedP/L
TIP long37May 31, 2023Jun 5, 2023($27)
GLD long22May 24, 2023May 31, 2023($25)
TIP long37Mar 28, 2023May 24, 2023($20)
GLD long22Mar 23, 2023Mar 28, 2023($35)
TIP long38Mar 22, 2023Mar 23, 2023$48
GLD long23Mar 10, 2023Mar 22, 2023$195
TIP long37Feb 28, 2023Mar 10, 2023$23
GLD long23Feb 27, 2023Feb 28, 2023($2)
TIP long37Feb 24, 2023Feb 27, 2023$0
GLD long26Feb 22, 2023Feb 24, 2023($63)
TIP long42Nov 16, 2022Feb 22, 2023$7
GLD long27Nov 15, 2022Nov 16, 2022$3
TIP long42Nov 10, 2022Nov 15, 2022$20
GLD long25Nov 9, 2022Nov 10, 2022$66
TIP long42Oct 26, 2022Nov 9, 2022($25)
SVXY long130Oct 7, 2022Oct 24, 2022$36
SPY long14Sep 26, 2022Oct 7, 2022$36
SVXY long80Sep 23, 2022Sep 26, 2022($120)
SPY long13Sep 22, 2022Sep 23, 2022($78)
SVXY long86Sep 14, 2022Sep 22, 2022($57)
TIP long44Sep 8, 2022Sep 14, 2022($41)
SVXY long87Sep 1, 2022Sep 8, 2022$70
TIP long87Aug 29, 2022Sep 1, 2022($297)
SVXY long52Mar 31, 2022Jul 29, 2022($126)
SPY long15Jun 14, 2022Jun 23, 2022($24)
SPY long14May 6, 2022May 18, 2022($106)
SPY long14Apr 25, 2022May 5, 2022$12
SPY long14Apr 12, 2022Apr 13, 2022($71)
SPY long14Jan 14, 2022Mar 21, 2022($236)
SPY long14Jan 6, 2022Jan 13, 2022$59

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.