Brendan Ruchert-Dixon Profile Picture Individual Investor

B Ruchert-Dixon

Software Engineer

  • Education Stanford University
  • Qualifications MS, BS

Alpha Trapper

The Alpha Trapper strategy takes a long-short approach. It seeks balanced growth for the long investments. I also take short positions in ETFs in an effort to help me hedge the total investment risk and to add to potential returns.
I try to estimate the potential long-term returns for every position, whether it is long or short. I seek long-term investments. But I will shorten the holding periods for individual positions if my long-term expectations are invalidated or if price targets are reached sooner than expected.

For the short positions, I gravitate toward what I believe are poorly constructed ETFs that in my opinion will lose value under most market conditions.

All research data comes from publicly available resources. Those include company reports and regulatory filings. I examine both current and historical data in researching every potential investment.
The Alpha Trapper strategy typically holds 3 to 5 long positions. Most are in stock and bond index funds. Short holdings could range from 0 to as many as 10 positions. I attempt to allocate the most capital to what I believe are the best overall opportunities.
Positions are typically closed when I have either reached my price target or when conditions have changed to invalidate my original expectations.

For commonly shorted ETFs, I use mathematical formulas to determine how much to sell or buy back.  I may make decisions on a case-by-case basis for ETFs that I do not short very often.
I may buy individual company stocks if my research suggests that there are ones that are extremely undervalued.

In addition, I may buy stocks to hedge an existing short position.  For example, the strategy may buy a natural gas royalty trust to offset a short position in a natural gas ETF.

Risk score

4
Leverage: 1.09
11.2%

Best 30 days

-5.8%

Worst 30 days

Performance

  • -2.2%
    30 day
  • -7.6%
    90 day
  • 5.0%
    365 day
Monthly vs S&P500
brendan ruchert dixon - alpha trapper
-5.0% 12 months
  • $10,000 subscription min
  • Margin account required
  • 1.5% fee

Replicability

100.0%
  • Replicable

Top 5 Holdings View all

162.0%
20.5%
-9.8%
-16.9%
-23.0%

Model commentary

  1. I pounced when Apple fell below $425

    11 March 2013

    Apple has a low PE, an incredible balance sheet, and potential for further growth.

  2. My two resolutions for 2013 26 December 2012
  3. My investment in Best Buy has yet to deliver 20 November 2012
  4. Going long Best Buy and short natural gas 7 October 2012
  5. Fed stimulus will deliver only a short term sugar buzz for stocks 6 September 2012

show more


Performance detail

  • Manager
  • S&P 500

Performance

Inception December 02, 2010
as of May 23, 2013 Manager S&P 500 Average Subscriber
Past 30 days -2.2% 4.5% -2.2%
Past 90 days -7.6% 8.9% -7.1%
Past 365 days 5.0% 25.1% 5.8%
Since Inception (Annualized) 14.6% 12.9% -
2013 (YTD) -6.5% 15.7% -5.8%
2012 10.2% 13.4% 9.5%
2011 31.8% -0.0% -

Risk Metrics

Last 365 days
as of May 23, 2013 Manager S&P 500
Best 30 days 11.2% 8.2%
Worst 30 days -5.4% -7.0%
Volatility 13.5% 12.7%
Sharpe Ratio 0.36 1.97
Sortino Ratio 0.60 2.85
Maximum Drawdown -10.6% -7.7%
Value-at-risk (95%, 1 week) -3.1% -2.9%
vs. S&P 500
Information Ratio -1.15
Alpha 3.4%
Beta 0.11
R-Squared 0.01
  • $10,000 subscription min
  • Margin account required
  • 1.5% fee

Latest transactions view all

Average trades per month 4.5
Executed Symbol Security Replicable Type Price
04/17/13 AAPL Apple Inc Yes Buy $401.00
04/17/13 JNK SPDR Barclays Capital High Yield Bond ETF Yes Sell $41.11
03/04/13 AAPL Apple Inc Yes Buy $421.80
03/04/13 FXE CURRENCYSHARES EURO TRUST Yes Buy to cover $128.84
03/04/13 BBY BEST BUY CO INC Yes Sell $17.53
02/15/13 UCO PROSHARES ULTRA DJ-UBS CRUDE OIL Yes Sell short $31.50
02/15/13 JNK SPDR Barclays Capital High Yield Bond ETF Yes Sell $40.67
02/15/13 SQQQ PROSHARES ULTRAPRO SHORT QQQ Yes Sell short $35.30


Important Information

1. Past performance is no guarantee of future results.

2. Performance of the model manager's account is calculated by Covestor on a daily time-weighted basis, including cash, dividends and earnings distributions, and broker commissions. Manager returns include trades that fail Covestor's trading rules, do not reflect any Covestor suitability or risk score restrictions and are exclusive of Covestor fees. More

3. Average subscription returns ("Avg Sub" or "Avg Client") are calculated by Covestor and are composed of the average, daily, time weighted returns of all active subscriptions to the underlying model. These daily average returns are then linked together for the timeframe requested. In addition, these returns include cash, dividends and earnings distributions, brokerage commissions, Covestor advisory fees, and reflect individual client suitability and risk score restrictions. More

4. All graph data is as of the end of day for the referenced period, unless otherwise specified. The subscription minimum is the minimum subscription required to follow a particular model. The minimum amount is determined by Covestor, based on the characteristics of the underlying model. It should not be considered as specific investment advice for your investment situation.

5. The performance charts are provided for informational purposes only, and should not be used as the basis for making an investment decision. Variables such as corporate actions or foreign exchange may affect daily performance displays. We rely on mathematical formulas, computer programs, and pricing information from third-party vendors to provide these returns. Neither Covestor nor any of its data or content providers shall be liable for any errors in this information or any actions taken by you in reliance upon this information.

6. Benchmark returns have been calculated by Covestor using a time-weighted calculation of daily index valuations and do not include cash, dividends and earnings distributions, or transaction costs. More

7. Leverage indicates the level of margin utilized and is calculated by dividing gross exposure by portfolio net liquidation value.

8. All Model Manager information including personal data, profiles, strategies, monthly investment reports, and historical results outside of Covestor has been provided by the Model Manager. Covestor makes no representation or warranty of its accuracy, completeness or relevance and it does not represent the opinions of Covestor. Transaction history is available upon request. Model classifications (Approach, Asset Class) are provided by Covestor, and are intended to serve as a general guide.

9. Top Replicable Holdings: These securities are currently held in the model manager's brokerage account. Those marked as "Replicable Holdings" currently pass Covestor's trading rules, subject to individual client constraints. Eligibility for replication may change over time. Actual client subscription holdings may vary.

10. Latest Transactions: These transactions were executed in the model manager's brokerage account. Those marked as "Replicable" () passed Covestor's trading rules and were eligible for replication at the time of execution, subject to individual client constraints. Eligibility for replication may change over time. Actual client subscription trade activity may vary.

11. S&P 500 Index is an unmanaged index compiled by Standard & Poor´s Corp. Index returns do not reflect any management fees, transaction costs or expenses. Individuals cannot invest directly in an Index. S&P 500 index data: S&P/Dow Jones Indices LLC, a subsidiary of The McGraw-Hill Companies Copyright © 2013.