Risk Tracker Options
- hypothetical · Annual Return (Compounded)
- -21.7%
- Max Drawdown
- 23.3%
- Trades
- 138
- Win Trades
- 44.9%
- Profit Factor
- 0.90
- Win Months
- 1.7%
About this strategy
Risk Tracker is 100% mechanical system that aims to predict Risk on/Risk off phases on global stock market. This system uses Risk Tracker signals to trade options on SPY ETF.
Risk Tracker generates three different signals:
RiskOn - traders are looking for risk. Buy stocks and sell volatility
RiskOff - traders are risk averse. Sell or short stocks and buy volatility.
RiskNeutral - stay out of market and wait for new RiskOn phase
In this sub-system we take following positions
RiskOn: Sell credit put spreads on SPY using weekly an 1 month options
RiskOff: Buy naked long dated OTM puts on SPY to capture implied volatility jump
RiskNeutral: no position / money market fund
Here are backtest results of Risk Tracker on SPY:
http://bit.ly/StC4AF
(33% annual return, 15% max. drawdown)
We trade options instead of underlying so we should get event better returns with smaller drawdowns.
Risk Tracker generates three different signals:
RiskOn - traders are looking for risk. Buy stocks and sell volatility
RiskOff - traders are risk averse. Sell or short stocks and buy volatility.
RiskNeutral - stay out of market and wait for new RiskOn phase
In this sub-system we take following positions
RiskOn: Sell credit put spreads on SPY using weekly an 1 month options
RiskOff: Buy naked long dated OTM puts on SPY to capture implied volatility jump
RiskNeutral: no position / money market fund
Here are backtest results of Risk Tracker on SPY:
http://bit.ly/StC4AF
(33% annual return, 15% max. drawdown)
We trade options instead of underlying so we should get event better returns with smaller drawdowns.
Hypothetical Monthly Returns (includes fees/commissions)
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | YTD |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012 | 10.3 | -2.0 | 8.1 | ||||||||||
| 2013 | -1.1 | -9.3 | -8.2 | -2.9 | -2.2 | -1.0 | -0.1 | -0.1 | 0.0 | 0.0 | 0.0 | 0.0 | -22.7 |
| 2014 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 2015 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 2016 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 2017 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
Statistics
Overview
| Strategy began | 11/16/2012 |
|---|---|
| Suggested Minimum Capital | $20,000 |
| Age | 169 months |
| What it trades | Options |
| # Trades | 138 |
| # Profitable | 62 |
| % Profitable | 44.9% |
| Avg trade duration | 44.9 days |
| Max peak-to-valley drawdown | 23.3% |
| drawdown period | Dec 21, 2012 - June 20, 2014 |
| Cumul. Return | -13.8% |
| Avg win | $232 |
| Avg loss | $211 |
Ratios
| W:L ratio | 0.90 |
|---|---|
| Sharpe Ratio | -0.72 |
| Sortino Ratio | -0.87 |
| Calmar Ratio | -0.21 |
CORRELATION STATISTICS
| Correlation to SP500 | -0.01 |
|---|---|
| Return Percent SP500 (cumu) during strategy life | 463.2% |
| Return of Strat Pcnt - Return of SP500 Pcnt (cumu) | -32.9% |
Return Statistics
| Ann Return (w trading costs) | -21.7% |
|---|---|
| Return Pcnt (Compound or Annual, age-based, NFA compliant) | -0.1% |
| Return Pcnt Since TOS Status | 0.0% |
| Ann Return (Compnd, No Fees) | -0.6% |
Slump
| Current Slump as Pcnt Equity | 40.6% |
|---|---|
| Current Slump, time of slump as pcnt of strategy life | 1.0% |
Instruments
| Percent Trades Forex | 0.0% |
|---|---|
| Percent Trades Futures | 0.0% |
| Percent Trades Options | 1.0% |
| Percent Trades Stocks | 0.0% |
Risk of Ruin (Monte-Carlo)
| Chance of 10% account loss | 100.0% |
|---|---|
| Chance of 20% account loss | 100.0% |
| 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% |
| Chance of 100% account loss (Monte Carlo) | — |
Automation
| Percentage Signals Automated | 0.0% |
|---|
Trading Style
| Any stock shorts? 0/1 | 1 |
|---|
Trades-Own-System Certification
| Trades Own System? | 0 |
|---|---|
| TOS percent | 0.0% |
Win / Loss
| Avg Loss | $211 |
|---|---|
| Avg Win | $232 |
| # Winners | 62 |
| Sum Trade PL (losers) | $16,019 |
| Sum Trade PL (winners) | $14,404 |
| Num Months Winners | 1 |
| # Losers | 76 |
| % Winners | 44.9% |
Dividends
| Dividends Received in Model Acct | 0 |
|---|
Age
| Num Months filled monthly returns table | 60 |
|---|
Frequency
| Avg Position Time (mins) | 64686.70 |
|---|---|
| Avg Position Time (hrs) | 1078.11 |
| Avg Trade Length | 44.90 |
| Last Trade Ago | 4921 |
Regression
| Alpha | -0.01 |
|---|---|
| Beta | 0 |
| Treynor Index | 4.06 |
Maximum Adverse Excursion (MAE)
| MAE:Equity, average, all trades | 0.01 |
|---|---|
| MAE:Equity, 95th Percentile Value for this strat | 0.01 |
| 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 | -8.12 |
| MAE:PL (avg, all trades) | -1.86 |
| MAE:PL (avg, losing trades) | — |
| MAE:PL - Losing Trades - this strat Percentile of All Strats | 63.02 |
| MAE:PL - Winning Trades - this strat Percentile of All Strats | 22.83 |
| MAE:PL (avg, winning trades) | — |
| MAE:PL - worst single value for strategy | — |
| Avg(MAE) / Avg(PL) - Winning trades | 0.33 |
| Avg(MAE) / Avg(PL) - Losing trades | -1.19 |
| Hold-and-Hope Ratio | -0.12 |
RATIO STATISTICS
| a (intercept, estimate of alpha) | -0.07 |
|---|---|
| VAR (95 Confidence Intrvl) | 0.01 |
DRAW DOWN STATISTICS
| Max Equity Drawdown (num days) | 546 |
|---|---|
| Last 4 Months - Pcnt Negative | 0.0% |
Trading record
| Symbol | Side | Qty | Opened | Closed | P/L |
|---|---|---|---|---|---|
| QQQ1322R52 | long | 40 | Feb 26, 2013 | Mar 12, 2013 | ($616) |
| SPX1322R1200 | long | 5 | Feb 26, 2013 | Mar 12, 2013 | ($2,632) |
| SPY1308O147 | short | 10 | Feb 20, 2013 | Feb 26, 2013 | ($618) |
| QQQ1316O64 | short | 10 | Feb 20, 2013 | Feb 25, 2013 | ($118) |
| IWM1308O88 | short | 4 | Feb 20, 2013 | Feb 25, 2013 | ($56) |
| TLT | long | 100 | Feb 23, 2013 | Feb 25, 2013 | ($5) |
| SPXW1301O1485 | short | 1 | Feb 20, 2013 | Feb 25, 2013 | ($7) |
| SSO1316O66 | short | 3 | Feb 20, 2013 | Feb 25, 2013 | ($40) |
| SPXW1301O1430 | long | 1 | Feb 20, 2013 | Feb 25, 2013 | ($32) |
| SPY1308O142 | long | 10 | Feb 20, 2013 | Feb 25, 2013 | ($24) |
| QQQ1316O60 | long | 10 | Feb 20, 2013 | Feb 25, 2013 | ($4) |
| TLT1316O113 | short | 2 | Feb 20, 2013 | Feb 25, 2013 | $41 |
| SSO1316O56 | long | 3 | Feb 20, 2013 | Feb 25, 2013 | $5 |
| IWM1308O83 | long | 4 | Feb 20, 2013 | Feb 25, 2013 | ($18) |
| TLT1316C119 | short | 1 | Feb 20, 2013 | Feb 25, 2013 | $1 |
| TLT1316O105 | long | 2 | Feb 20, 2013 | Feb 25, 2013 | ($7) |
| TLT1316C127 | long | 1 | Feb 20, 2013 | Feb 25, 2013 | ($5) |
| TLT1322B120 | short | 1 | Feb 20, 2013 | Feb 23, 2013 | $1 |
| TLT1322B116.5 | long | 1 | Feb 20, 2013 | Feb 23, 2013 | ($41) |
| SPY1328O135 | long | 2 | Feb 12, 2013 | Feb 20, 2013 | ($25) |
| SPY1308O137 | long | 5 | Feb 12, 2013 | Feb 20, 2013 | ($38) |
| SPY1316O137 | long | 6 | Feb 12, 2013 | Feb 20, 2013 | ($62) |
| SPY1328O144 | short | 2 | Feb 12, 2013 | Feb 20, 2013 | $57 |
| SPY1328O142 | short | 3 | Feb 12, 2013 | Feb 20, 2013 | $68 |
| SPY1308O147 | short | 5 | Feb 12, 2013 | Feb 20, 2013 | $106 |
| SPY1316O145 | short | 6 | Feb 12, 2013 | Feb 20, 2013 | $166 |
| SPY1308O136 | long | 1 | Feb 12, 2013 | Feb 12, 2013 | ($3) |
| SPY1308O136 | long | 1 | Feb 12, 2013 | Feb 12, 2013 | ($3) |
| SPY1316O145 | short | 1 | Feb 12, 2013 | Feb 12, 2013 | ($2) |
| SPY1316O136 | long | 6 | Feb 12, 2013 | Feb 12, 2013 | ($16) |
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.