BuyLowAlgo
- hypothetical · Annual Return (Compounded)
- 13.7%
- Max Drawdown
- 61.3%
- Trades
- 1063
- Win Trades
- 41.7%
- Profit Factor
- 1.30
- Win Months
- 52.0%
About this strategy
Trades in this system are from a proprietary long-only Algo that monitors a watch list of 200+ US stocks and trades them based on trend and momentum. Basically, it aims to "Buy Low and Sell High." It is a swing trading system that holds on to winning stocks for weeks to months at a time.
The problem with a Buy and Hold strategy is that you tie up too much capital waiting for sideway stocks or losers to turn around -- if at all. Instead, this Algo was developed to trade in and out of them. A watch list of 200+ symbols provides the Algo with many trading opportunities. The watch list is based on fundamental analysis -- stocks with good growth prospects or good story.
This Algo manages capital allocation and sorts through which stocks to trade based on many parameters. Losses are limited with adaptive stop losses or explicit exits based on price action, various technical indicators and internal trade scoring. We run this exact Algo on a $2 million portfolio.
It is best to AutoTrade this strategy. It enters new trades near the end of the day, but exits can happen anytime during market
Update June 2021: After the painful and expensive experience of the Feb-Mar 2021 equity drawdown, we've implemented an Equity Curve Trading mechanism that puts the system into a simulated trading mode until the equity curve recovers. Meaning, new trades are held internally in a simulated trading fashion until they produce a reliably positive trending equity curve, at which time real trading is resumed. This should produce a less volatile and more profitable equity curve. So far, it seems to be working.
The problem with a Buy and Hold strategy is that you tie up too much capital waiting for sideway stocks or losers to turn around -- if at all. Instead, this Algo was developed to trade in and out of them. A watch list of 200+ symbols provides the Algo with many trading opportunities. The watch list is based on fundamental analysis -- stocks with good growth prospects or good story.
This Algo manages capital allocation and sorts through which stocks to trade based on many parameters. Losses are limited with adaptive stop losses or explicit exits based on price action, various technical indicators and internal trade scoring. We run this exact Algo on a $2 million portfolio.
It is best to AutoTrade this strategy. It enters new trades near the end of the day, but exits can happen anytime during market
Update June 2021: After the painful and expensive experience of the Feb-Mar 2021 equity drawdown, we've implemented an Equity Curve Trading mechanism that puts the system into a simulated trading mode until the equity curve recovers. Meaning, new trades are held internally in a simulated trading fashion until they produce a reliably positive trending equity curve, at which time real trading is resumed. This should produce a less volatile and more profitable equity curve. So far, it seems to be working.
Trend-following Momentum
Hypothetical Monthly Returns (includes fees/commissions)
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | YTD |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020 | 11.7 | 9.3 | -2.6 | 2.1 | 35.9 | -0.2 | 64.7 | ||||||
| 2021 | 18.4 | 6.6 | -15.4 | -4.4 | -5.5 | 5.0 | -2.4 | -2.1 | -11.0 | 12.3 | 0.1 | 0.8 | -2.5 |
| 2022 | -4.0 | -4.9 | 0.4 | -4.9 | 0.9 | -2.3 | 2.8 | -6.2 | -3.4 | -0.1 | -4.5 | -3.5 | -26.4 |
| 2023 | 3.3 | 1.4 | -0.7 | -8.1 | 3.6 | 0.8 | 6.5 | -6.8 | 0.1 | -1.7 | 10.6 | -0.6 | 7.0 |
| 2024 | 1.9 | 6.4 | 1.6 | 4.5 | 2.0 | -3.4 | 0.7 | -3.5 | 12.2 | 3.2 | 4.2 | -2.5 | 29.7 |
| 2025 | 9.0 | -0.0 | -1.6 | -2.2 | 7.8 | 3.7 | 9.4 | -0.2 | 0.8 | -3.9 | -4.0 | 7.4 | 28.0 |
| 2026 | -2.3 | 7.3 | -1.9 | 5.1 | -1.2 | 2.7 | 1.2 | -5.2 | 0.0 | 5.2 |
Statistics
Overview
| Strategy began | 7/1/2020 |
|---|---|
| Suggested Minimum Capital | $50,000 |
| Age | 75 months |
| What it trades | Stocks |
| # Trades | 1063 |
| # Profitable | 443 |
| % Profitable | 41.7% |
| Avg trade duration | 15.8 days |
| Max peak-to-valley drawdown | 61.4% |
| drawdown period | Feb 09, 2021 - April 26, 2023 |
| Annual Return (Compounded) | 13.7% |
| Avg win | $608 |
| Avg loss | $326 |
Ratios
| W:L ratio | 1.34 |
|---|---|
| Sharpe Ratio | 0.48 |
| Sortino Ratio | 0.76 |
| Calmar Ratio | 0.87 |
CORRELATION STATISTICS
| Correlation to SP500 | 0.42 |
|---|---|
| Return Percent SP500 (cumu) during strategy life | 143.7% |
| Return of Strat Pcnt - Return of SP500 Pcnt (cumu) | -23.8% |
Return Statistics
| Ann Return (w trading costs) | 13.7% |
|---|---|
| Return Pcnt (Compound or Annual, age-based, NFA compliant) | 0.1% |
| Return Pcnt Since TOS Status | 0.0% |
| Ann Return (Compnd, No Fees) | 15.0% |
Slump
| Current Slump as Pcnt Equity | 29.7% |
|---|---|
| Current Slump, time of slump as pcnt of strategy life | 0.9% |
Instruments
| Percent Trades Forex | 0.0% |
|---|---|
| Percent Trades Futures | 0.0% |
| Percent Trades Options | 0.0% |
| Short Options - Percent Covered | 100.0% |
| Percent Trades Stocks | 1.0% |
Risk of Ruin (Monte-Carlo)
| Chance of 10% account loss | 78.5% |
|---|---|
| Chance of 20% account loss | 54.5% |
| Chance of 30% account loss | 26.5% |
| Chance of 40% account loss | 13.0% |
| Chance of 50% account loss | 1.5% |
| 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 | 99.1% |
|---|
Popularity
| Popularity (Today) | 0 |
|---|---|
| Popularity (Last 6 weeks) | 0 |
| Popularity (7 days, Percentile 1000 scale) | 0 |
Trading Style
| Any stock shorts? 0/1 | 0 |
|---|
Trades-Own-System Certification
| Trades Own System? | 0 |
|---|---|
| TOS percent | 0.0% |
Win / Loss
| Avg Loss | $326 |
|---|---|
| Avg Win | $608 |
| # Winners | 443 |
| Sum Trade PL (losers) | $202,116 |
| Sum Trade PL (winners) | $269,502 |
| Num Months Winners | 39 |
| # Losers | 620 |
| % Winners | 41.7% |
Dividends
| Dividends Received in Model Acct | 1777 |
|---|
Age
| Num Months filled monthly returns table | 75 |
|---|
Frequency
| Avg Position Time (mins) | 22804.52 |
|---|---|
| Avg Position Time (hrs) | 380.08 |
| Avg Trade Length | 15.80 |
| Last Trade Ago | 895 |
Leverage
| Daily leverage (average) | 0.78 |
|---|---|
| Daily leverage (max) | 1.37 |
Regression
| Alpha | 0.01 |
|---|---|
| Beta | 0.64 |
| Treynor Index | 0.06 |
Maximum Adverse Excursion (MAE)
| MAE:Equity, average, all trades | 0 |
|---|---|
| MAE:Equity, 95th Percentile Value for this strat | 0 |
| MAE:Equity, average, losing trades | 0.01 |
| MAE:Equity, losing trades only, 95th Percentile Value for this strat | — |
| MAE:Equity, average, winning trades | 0 |
| MAE:Equity, win trades only, 95th Percentile Value for this strat | — |
| Avg(MAE) / Avg(PL) - All trades | 6.32 |
| MAE:PL (avg, all trades) | -0.58 |
| MAE:PL (avg, losing trades) | — |
| MAE:PL (avg, winning trades) | — |
| MAE:PL - worst single value for strategy | — |
| Avg(MAE) / Avg(PL) - Winning trades | 0.27 |
| Avg(MAE) / Avg(PL) - Losing trades | -1.38 |
| Hold-and-Hope Ratio | 0.05 |
RATIO STATISTICS
| Mean | 0.44 |
|---|---|
| SD | 0.44 |
| Sharpe ratio (Glass type estimate) | 1.01 |
| Sharpe ratio (Hedges UMVUE) | 0.98 |
| df | 25 |
| t | 1.49 |
| p | 0.07 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.36 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.36 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.38 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 2.34 |
| Sortino ratio | 2.67 |
| Upside Potential Ratio | 4.83 |
| Upside part of mean | 0.80 |
| Downside part of mean | -0.36 |
| Upside SD | 0.42 |
| Downside SD | 0.17 |
| N nonnegative terms | 12 |
| N negative terms | 14 |
| N of observations | 26 |
| Mean of predictor | 0.37 |
| Mean of criterion | 0.44 |
| SD of predictor | 0.23 |
| SD of criterion | 0.44 |
| Covariance | 0.07 |
| r | 0.72 |
| b (slope, estimate of beta) | 1.41 |
| a (intercept, estimate of alpha) | -0.08 |
| Mean Square Error | 0.10 |
| DF error | 24 |
| t(b) | 5.13 |
| p(b) | 0.00 |
| t(a) | -0.35 |
| p(a) | 0.63 |
| Lowerbound of 95% confidence interval for beta | 0.84 |
| Upperbound of 95% confidence interval for beta | 1.97 |
| Lowerbound of 95% confidence interval for alpha | -0.56 |
| Upperbound of 95% confidence interval for alpha | 0.40 |
| Treynor index (mean / b) | 0.32 |
| Jensen alpha (a) | -0.08 |
| Mean | 0.35 |
| SD | 0.41 |
| Sharpe ratio (Glass type estimate) | 0.87 |
| Sharpe ratio (Hedges UMVUE) | 0.84 |
| df | 25 |
| t | 1.28 |
| p | 0.11 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.49 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.21 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.51 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 2.20 |
| Sortino ratio | 2.04 |
| Upside Potential Ratio | 4.19 |
| Upside part of mean | 0.73 |
| Downside part of mean | -0.37 |
| Upside SD | 0.37 |
| Downside SD | 0.17 |
| N nonnegative terms | 12 |
| N negative terms | 14 |
| N of observations | 26 |
| Mean of predictor | 0.34 |
| Mean of criterion | 0.35 |
| SD of predictor | 0.21 |
| SD of criterion | 0.41 |
| Covariance | 0.06 |
| r | 0.73 |
| b (slope, estimate of beta) | 1.38 |
| a (intercept, estimate of alpha) | -0.12 |
| Mean Square Error | 0.08 |
| DF error | 24 |
| t(b) | 5.21 |
| p(b) | 0.00 |
| t(a) | -0.57 |
| p(a) | 0.71 |
| Lowerbound of 95% confidence interval for beta | 0.83 |
| Upperbound of 95% confidence interval for beta | 1.92 |
| Lowerbound of 95% confidence interval for alpha | -0.56 |
| Upperbound of 95% confidence interval for alpha | 0.32 |
| Treynor index (mean / b) | 0.26 |
| Jensen alpha (a) | -0.12 |
| VaR(95%) | 0.15 |
| Expected Shortfall on VaR | 0.19 |
| VaR(95%) | 0.07 |
| Expected Shortfall on VaR | 0.12 |
| Mean | 0.44 |
| SD | 0.39 |
| Sharpe ratio (Glass type estimate) | 1.13 |
| Sharpe ratio (Hedges UMVUE) | 1.13 |
| df | 579 |
| t | 1.68 |
| p | 0.05 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.19 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.45 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.19 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 2.45 |
| Sortino ratio | 1.85 |
| Upside Potential Ratio | 9.27 |
| Upside part of mean | 2.20 |
| Downside part of mean | -1.76 |
| Upside SD | 0.31 |
| Downside SD | 0.24 |
| N nonnegative terms | 283 |
| N negative terms | 297 |
| N of observations | 580 |
| Mean of predictor | 0.41 |
| Mean of criterion | 0.44 |
| SD of predictor | 0.26 |
| SD of criterion | 0.39 |
| Covariance | 0.04 |
| r | 0.44 |
| b (slope, estimate of beta) | 0.66 |
| a (intercept, estimate of alpha) | 0.17 |
| Mean Square Error | 0.12 |
| DF error | 578 |
| t(b) | 11.81 |
| p(b) | 0 |
| t(a) | 0.71 |
| p(a) | 0.24 |
| Lowerbound of 95% confidence interval for beta | 0.55 |
| Upperbound of 95% confidence interval for beta | 0.77 |
| Lowerbound of 95% confidence interval for alpha | -0.30 |
| Upperbound of 95% confidence interval for alpha | 0.63 |
| Treynor index (mean / b) | 0.67 |
| Jensen alpha (a) | 0.17 |
| Mean | 0.36 |
| SD | 0.38 |
| Sharpe ratio (Glass type estimate) | 0.95 |
| Sharpe ratio (Hedges UMVUE) | 0.95 |
| df | 579 |
| t | 1.41 |
| p | 0.08 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.37 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 2.27 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.37 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 2.27 |
| Sortino ratio | 1.50 |
| Upside Potential Ratio | 8.86 |
| Upside part of mean | 2.16 |
| Downside part of mean | -1.79 |
| Upside SD | 0.30 |
| Downside SD | 0.24 |
| N nonnegative terms | 283 |
| N negative terms | 297 |
| N of observations | 580 |
| Mean of predictor | 0.38 |
| Mean of criterion | 0.36 |
| SD of predictor | 0.26 |
| SD of criterion | 0.38 |
| Covariance | 0.04 |
| r | 0.44 |
| b (slope, estimate of beta) | 0.66 |
| a (intercept, estimate of alpha) | 0.12 |
| Mean Square Error | 0.12 |
| DF error | 578 |
| t(b) | 11.85 |
| p(b) | 0 |
| t(a) | 0.50 |
| p(a) | 0.31 |
| Lowerbound of 95% confidence interval for beta | 0.55 |
| Upperbound of 95% confidence interval for beta | 0.77 |
| Lowerbound of 95% confidence interval for alpha | -0.34 |
| Upperbound of 95% confidence interval for alpha | 0.57 |
| Treynor index (mean / b) | 0.56 |
| Jensen alpha (a) | 0.12 |
| VaR(95%) | 0.04 |
| Expected Shortfall on VaR | 0.05 |
| VaR(95%) | 0.02 |
| Expected Shortfall on VaR | 0.03 |
| Mean | 1.14 |
| SD | 0.43 |
| Sharpe ratio (Glass type estimate) | 2.67 |
| Sharpe ratio (Hedges UMVUE) | 2.66 |
| df | 130 |
| t | 1.89 |
| p | 0.42 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.12 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 5.46 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.13 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 5.45 |
| Sortino ratio | 4.96 |
| Upside Potential Ratio | 12.92 |
| Upside part of mean | 2.98 |
| Downside part of mean | -1.83 |
| Upside SD | 0.37 |
| Downside SD | 0.23 |
| N nonnegative terms | 63 |
| N negative terms | 68 |
| N of observations | 131 |
| Mean of predictor | 1.35 |
| Mean of criterion | 1.14 |
| SD of predictor | 0.36 |
| SD of criterion | 0.43 |
| Covariance | 0.10 |
| r | 0.66 |
| b (slope, estimate of beta) | 0.80 |
| a (intercept, estimate of alpha) | 0.07 |
| Mean Square Error | 0.10 |
| DF error | 129 |
| t(b) | 10.09 |
| p(b) | 0.11 |
| t(a) | 0.14 |
| p(a) | 0.49 |
| Lowerbound of 95% confidence interval for beta | 0.64 |
| Upperbound of 95% confidence interval for beta | 0.95 |
| Lowerbound of 95% confidence interval for alpha | -0.85 |
| Upperbound of 95% confidence interval for alpha | 0.99 |
| Treynor index (mean / b) | 1.43 |
| Jensen alpha (a) | 0.07 |
| Mean | 1.05 |
| SD | 0.42 |
| Sharpe ratio (Glass type estimate) | 2.49 |
| Sharpe ratio (Hedges UMVUE) | 2.47 |
| df | 130 |
| t | 1.76 |
| p | 0.42 |
| Lowerbound of 95% confidence interval for Sharpe Ratio | -0.30 |
| Upperbound of 95% confidence interval for Sharpe Ratio | 5.27 |
| Lowerbound of 95% CI (Gibbons, Hedeker & Davis approximation | -0.31 |
| Upperbound of 95% CI (Gibbons, Hedeker & Davis approximation | 5.26 |
| Sortino ratio | 4.47 |
| Upside Potential Ratio | 12.39 |
| Upside part of mean | 2.91 |
| Downside part of mean | -1.86 |
| Upside SD | 0.35 |
| Downside SD | 0.24 |
| N nonnegative terms | 63 |
| N negative terms | 68 |
| N of observations | 131 |
| Mean of predictor | 1.28 |
| Mean of criterion | 1.05 |
| SD of predictor | 0.35 |
| SD of criterion | 0.42 |
| Covariance | 0.10 |
| r | 0.66 |
| b (slope, estimate of beta) | 0.80 |
| a (intercept, estimate of alpha) | 0.03 |
| Mean Square Error | 0.10 |
| DF error | 129 |
| t(b) | 10.10 |
| p(b) | 0.11 |
| t(a) | 0.07 |
| p(a) | 0.50 |
| Lowerbound of 95% confidence interval for beta | 0.64 |
| VAR (95 Confidence Intrvl) | 0.04 |
| Upperbound of 95% confidence interval for beta | 0.95 |
| Lowerbound of 95% confidence interval for alpha | -0.88 |
| Upperbound of 95% confidence interval for alpha | 0.94 |
| Treynor index (mean / b) | 1.32 |
| Jensen alpha (a) | 0.03 |
| VaR(95%) | 0.04 |
| Expected Shortfall on VaR | 0.05 |
| VaR(95%) | 0.02 |
| Expected Shortfall on VaR | 0.03 |
ORDER STATISTICS
| Number of observations | 26 |
|---|---|
| Minimum | 0.90 |
| Quartile 1 | 0.93 |
| Median | 1.00 |
| Quartile 3 | 1.12 |
| Maximum | 1.32 |
| Mean of quarter 1 | 0.92 |
| Mean of quarter 2 | 0.97 |
| Mean of quarter 3 | 1.04 |
| Mean of quarter 4 | 1.22 |
| Inter Quartile Range | 0.19 |
| 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) | -0.24 |
| VaR(95%) (moments method) | 0.09 |
| Expected Shortfall (moments method) | 0.10 |
| Extreme Value Index (regression method) | -0.16 |
| VaR(95%) (regression method) | 0.08 |
| Expected Shortfall (regression method) | 0.09 |
| Number of observations | 580 |
| Minimum | 0.90 |
| Quartile 1 | 0.99 |
| Median | 1 |
| Quartile 3 | 1.01 |
| Maximum | 1.16 |
| Mean of quarter 1 | 0.98 |
| Mean of quarter 2 | 1.00 |
| Mean of quarter 3 | 1.00 |
| Mean of quarter 4 | 1.03 |
| Inter Quartile Range | 0.02 |
| Number outliers low | 24 |
| Percentage of outliers low | 0.04 |
| Mean of outliers low | 0.95 |
| Number of outliers high | 34 |
| Percentage of outliers high | 0.06 |
| Mean of outliers high | 1.06 |
| Extreme Value Index (moments method) | 0.24 |
| VaR(95%) (moments method) | 0.02 |
| Expected Shortfall (moments method) | 0.04 |
| Extreme Value Index (regression method) | 0.13 |
| VaR(95%) (regression method) | 0.02 |
| Expected Shortfall (regression method) | 0.03 |
| Number of observations | 131 |
| Minimum | 0.93 |
| Quartile 1 | 0.99 |
| Median | 1 |
| Quartile 3 | 1.01 |
| Maximum | 1.09 |
| Mean of quarter 1 | 0.98 |
| Mean of quarter 2 | 1.00 |
| Mean of quarter 3 | 1.01 |
| Mean of quarter 4 | 1.04 |
| Inter Quartile Range | 0.02 |
| Number outliers low | 4 |
| Percentage of outliers low | 0.03 |
| Mean of outliers low | 0.95 |
| Number of outliers high | 13 |
| Percentage of outliers high | 0.10 |
| Mean of outliers high | 1.06 |
| Extreme Value Index (moments method) | 0.11 |
| VaR(95%) (moments method) | 0.02 |
| Expected Shortfall (moments method) | 0.03 |
| Extreme Value Index (regression method) | -0.09 |
| VaR(95%) (regression method) | 0.02 |
| Expected Shortfall (regression method) | 0.03 |
DRAW DOWN STATISTICS
| Number of observations | 2 |
|---|---|
| Minimum | 0.02 |
| Quartile 1 | 0.12 |
| Median | 0.21 |
| Quartile 3 | 0.31 |
| Maximum | 0.41 |
| Mean of quarter 1 | 0.02 |
| Mean of quarter 2 | 0 |
| Mean of quarter 3 | 0 |
| Mean of quarter 4 | 0.41 |
| Inter Quartile Range | 0.19 |
| 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 | 16 |
| Minimum | 0.00 |
| Quartile 1 | 0.01 |
| Median | 0.05 |
| Quartile 3 | 0.07 |
| Maximum | 0.55 |
| Mean of quarter 1 | 0.00 |
| Mean of quarter 2 | 0.03 |
| Mean of quarter 3 | 0.06 |
| Mean of quarter 4 | 0.22 |
| Inter Quartile Range | 0.06 |
| Number outliers low | 0 |
| Percentage of outliers low | 0 |
| Mean of outliers low | 0 |
| Number of outliers high | 1 |
| Percentage of outliers high | 0.06 |
| Mean of outliers high | 0.55 |
| Extreme Value Index (moments method) | 0.14 |
| VaR(95%) (moments method) | 0.19 |
| Expected Shortfall (moments method) | 0.30 |
| Extreme Value Index (regression method) | 1.05 |
| VaR(95%) (regression method) | 0.31 |
| Expected Shortfall (regression method) | 0 |
| Number of observations | 12 |
| Minimum | 0.01 |
| Quartile 1 | 0.03 |
| Median | 0.05 |
| Quartile 3 | 0.07 |
| Maximum | 0.12 |
| Mean of quarter 1 | 0.02 |
| Mean of quarter 2 | 0.04 |
| Mean of quarter 3 | 0.06 |
| Mean of quarter 4 | 0.09 |
| 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) | -0.50 |
| VaR(95%) (moments method) | 0.10 |
| Expected Shortfall (moments method) | 0.11 |
| Extreme Value Index (regression method) | 1.07 |
| VaR(95%) (regression method) | 0.12 |
| Expected Shortfall (regression method) | 0 |
| Strat Max DD how much worse than SP500 max DD during strat life? | -493748256 |
| Max Equity Drawdown (num days) | 806 |
| Last 4 Months - Pcnt Negative | 0.2% |
COMBINED STATISTICS
| Annualized return (arithmetic extrapolation) | 0.59 |
|---|---|
| Compounded annual return (geometric extrapolation) | 0.46 |
| Calmar ratio (compounded annual return / max draw down) | 1.14 |
| Compounded annual return / average of 25% largest draw downs | 1.14 |
| Compounded annual return / Expected Shortfall lognormal | 2.43 |
| j156mfCOMBRisPar | 0 |
| j157mfCOMBRisPar | 0 |
| Annualized return (arithmetic extrapolation) | 0.62 |
| Compounded annual return (geometric extrapolation) | 0.48 |
| Calmar ratio (compounded annual return / max draw down) | 0.87 |
| Compounded annual return / average of 25% largest draw downs | 2.14 |
| Compounded annual return / Expected Shortfall lognormal | 10.35 |
| j313dfCOMBRisPar | 0 |
| j314dfCOMBRisPar | 0 |
| Annualized return (arithmetic extrapolation) | 1.43 |
| Compounded annual return (geometric extrapolation) | 1.94 |
| Calmar ratio (compounded annual return / max draw down) | 16.61 |
| Compounded annual return / average of 25% largest draw downs | 21.36 |
| Compounded annual return / Expected Shortfall lognormal | 40.00 |
Trading record
Placed 935 trades in real-life brokerage accounts.
| Symbol | Side | Qty | Opened | Closed | P/L |
|---|---|---|---|---|---|
| PD | long | 189 | Apr 13, 2023 | Apr 21, 2023 | $98 |
| TTD | long | 103 | Apr 13, 2023 | Apr 21, 2023 | $92 |
| PACB | long | 555 | Apr 19, 2023 | Apr 20, 2023 | ($138) |
| NVDA | long | 22 | Apr 18, 2023 | Apr 20, 2023 | ($128) |
| SHOP | long | 129 | Apr 17, 2023 | Apr 20, 2023 | ($120) |
| FSLR | long | 29 | Apr 17, 2023 | Apr 20, 2023 | ($97) |
| IOT | long | 294 | Apr 17, 2023 | Apr 20, 2023 | $197 |
| MARA | long | 538 | Apr 18, 2023 | Apr 19, 2023 | ($489) |
| RIOT | long | 464 | Apr 18, 2023 | Apr 19, 2023 | ($640) |
| PANW | long | 32 | Apr 13, 2023 | Apr 18, 2023 | $66 |
| PINS | long | 223 | Apr 13, 2023 | Apr 18, 2023 | ($33) |
| PACB | long | 551 | Apr 13, 2023 | Apr 18, 2023 | ($380) |
| LULU | long | 17 | Apr 13, 2023 | Apr 17, 2023 | $53 |
| Z | long | 138 | Apr 13, 2023 | Apr 17, 2023 | ($47) |
| MARA | long | 552 | Apr 13, 2023 | Apr 17, 2023 | ($27) |
| RBLX | long | 139 | Apr 13, 2023 | Apr 17, 2023 | ($788) |
| IOT | long | 315 | Apr 3, 2023 | Apr 4, 2023 | ($107) |
| TTD | long | 108 | Mar 31, 2023 | Apr 4, 2023 | ($11) |
| PANW | long | 33 | Mar 31, 2023 | Apr 4, 2023 | ($74) |
| ANET | long | 40 | Mar 31, 2023 | Apr 4, 2023 | ($5) |
| DKNG | long | 342 | Mar 31, 2023 | Apr 4, 2023 | ($65) |
| NVDA | long | 24 | Mar 31, 2023 | Apr 4, 2023 | ($50) |
| MARA | long | 766 | Mar 31, 2023 | Apr 4, 2023 | ($105) |
| TSLA | long | 32 | Mar 31, 2023 | Apr 4, 2023 | ($468) |
| FSLY | long | 374 | Mar 31, 2023 | Apr 4, 2023 | ($243) |
| AI | long | 199 | Mar 31, 2023 | Apr 4, 2023 | ($1,361) |
| RIOT | long | 664 | Mar 31, 2023 | Apr 3, 2023 | ($244) |
| GOOG | long | 44 | Mar 23, 2023 | Mar 24, 2023 | ($26) |
| PD | long | 148 | Mar 23, 2023 | Mar 24, 2023 | ($49) |
| GE | long | 52 | Mar 23, 2023 | Mar 24, 2023 | ($29) |
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.