Michael Arold Profile Picture Individual Investor

Michael Arold

Director, Channel Sales,Computer Software

  • Education University of Stuttgart, Germany
  • Qualifications Master in Aerospace Engineering
  • Investment Experience 16 years private investing, 4 years short term equity trading

Technical Swing

Swing trading strategy that owns or shorts stocks that are more volatile than the S&P 500. My rules-based system seeks to reduce drawdowns and beat the benchmark index with lower volatility. My goal is to find stocks within strong trends that are moving sideways in the near term, and buy or short the ones that I think are likely to resume their moves.
The approach begins with a rigorous top-down markets analysis. I seek to gauge the direction of the overall market and to identify possible short-term market themes.
Next, I look for specific asset classes, sectors, and stocks that my research suggests are likely to benefit from those themes.

I then apply my own approach that seeks to maximize reward and minimize risk by using targeted, rules-based stock entries and exits.
My proprietary momentum scanner helps me to identify potential outperforming stocks from a universe of more than 3,000 names.

From that list I create a watchlist of about 100 individual stocks. For each, I monitor technical indicators, analyst recommendations, news and commentary.

My goal is to identify stocks with extremely bullish or bearish sentiment. I seek to take short-term trading positions that are opposite of the crowd.
Under my trading rules, no single position -- long or short -- is expected to put more than 1% of the strategy’s total capital at risk.

I typically hold 5 to 15 positions and seek to maintain some diversification across sectors. Positions are usually held for a period of two days to two months.

My typical trading scenario offers at least double the potential reward, relative to the potential risk, if my price objective for the stock is met.
Soft stops are used on all positions in an effort to prevent major drawdowns. I also will sell when a stock has reached its price objective based on my analysis of price patterns.
I tend to avoid microcaps, biotechs, and stocks that I believe may be vulnerable to external events that may cause sudden, dramatic price moves.

Risk score

5
19.4%

Best 30 days

-16.6%

Worst 30 days

Performance

  • 7.0%
    30 day
  • 9.8%
    90 day
  • 26.3%
    365 day
Monthly vs S&P500
michael arold - technical swing
5.1% 12 months
  • $50,000 subscription min
  • Margin account required
  • 1.5% fee

Replicability

100.0%
  • Replicable

Top 5 Holdings View all

93.3%
7.2%
6.1%
-6.6%

Model commentary

  1. The Fed, not fundamentals, is driving the stock rally

    23 May 2013

    The Fed is pumping $80 billion a month into the markets.

  2. The stock rally is showing signs of fatigue 6 April 2013
  3. Horse racing's lessons for stock investors 23 March 2013
  4. Technical indicators suggest this rally will continue 10 February 2013
  5. Covestor Profiles: Michael Arold 27 January 2013

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Performance detail

  • Manager
  • S&P 500

Performance

Inception September 06, 2007
as of May 23, 2013 Manager S&P 500 Average Subscriber
Past 30 days 7.0% 4.5% 6.6%
Past 90 days 9.8% 8.9% 8.6%
Past 365 days 26.3% 25.1% 22.3%
Since Inception (Annualized) 14.0% 1.9% -
2013 (YTD) 13.4% 15.7% 11.7%
2012 20.2% 13.4% 16.3%
2011 14.4% -0.0% 8.1%
2010 20.5% 12.8% 10.5%
2009 -4.0% 23.5% -
2008 12.8% -38.5% -

Risk Metrics

Last 365 days
as of May 23, 2013 Manager S&P 500
Best 30 days 9.9% 8.2%
Worst 30 days -4.1% -7.0%
Volatility 10.3% 12.7%
Sharpe Ratio 2.54 1.97
Sortino Ratio 4.73 2.85
Maximum Drawdown -5.1% -7.7%
Value-at-risk (95%, 1 week) -2.4% -2.9%
vs. S&P 500
Information Ratio 0.11
Alpha 13.9%
Beta 0.44
R-Squared 0.29
  • $50,000 subscription min
  • Margin account required
  • 1.5% fee

Latest transactions view all

Average trades per month 50.8
Executed Symbol Security Replicable Type Price
05/23/13 AAPL Apple Inc Yes Buy $444.03
05/23/13 TSLA TESLA MOTORS INC Yes Buy $91.92
05/22/13 GS Goldman Sachs Group Inc/The Yes Sell $160.35
05/22/13 DFS DISCOVER FINANCIAL SERVICES Yes Sell $48.58
05/22/13 AAPL Apple Inc Yes Buy to cover $441.03
05/22/13 AAPL Apple Inc Yes Sell $441.00
05/22/13 VFC VF Corp Yes Sell $185.30
05/22/13 DFS DISCOVER FINANCIAL SERVICES Yes Sell $48.56


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.

12. This model was launched on Covestor on March 23, 2009. Trading history prior to launch was audited by Covestor and is consistent with current model strategy. Manager performance incorporates this historical data. This data has not been audited by an independent firm.