Mercator Capital Management : Mercator 1 Need help with terms? Snapshot Strategy Charts Statistics & Ratios Performance Tables Badges Show All Year-to-Date N / A Jan Performance -0.83% Min Investment $ 500k Mgmt. Fee 2.00% Perf. Fee 20.00% Annualized Vol 14.09% Sharpe (RFR=1%) 2.26 CAROR - Assets $ 649k Worst DD -0.83 S&P Correlation 0.44 Add Alert Add to Blender Add to Portfolio Add to Watchlist Print Page Growth of 1,000 - VAMI Monthly Performance Export Data Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec YTD DD Past performance is not necessarily indicative of future results. The risk of loss in trading commodity futures, options, and foreign exchange ("forex") is substantial. Period Returns Program / Index Jan Qtr YTD 1yr 3yr 5yr 10yr Since10/2007 Mercator 1 -0.83 - - - - - - 11.13 S&P 500 -6.12 - - - - - - 162.00 +/- S&P 500 5.29 - - - - - - -150.87 Strategy Description Summary-&Mercator Capital Management?s investment strategy can be broadly defined as both trend following and trend reversal. Our trend following approach recognizes major trends with emphasis on channels, moving averages, and Elliot Wave pattern identification. Our counter trend, or trend... Read More Account & Fees Type Managed Account Minimum Investment $ 500k Trading Level Incremental Increase $ 0k CTA Max Funding Factor Management Fee 2.00% Performance Fee 20.00% Average Commission $9.00 Available to US Investors Yes Subscriptions High Water Mark No Subscription Frequency Redemption Frequency Investor Requirements Lock-up Period 0 Trading Trading Frequency 400 RT/YR/$M Avg. Margin-to-Equity 9% Targeted Worst DD Worst Peak-to-Trough 0% Sector Focus Not Specified Holding Periods Over 12 Months 0% 4-12 Months 0% 1-3 Months 0% 1-30 Days Intraday 0% Decision-Making Discretionary 0% Systematic 0% Strategy Summary-&Mercator Capital Management?s investment strategy can be broadly defined as both trend following and trend reversal. Our trend following approach recognizes major trends with emphasis on channels, moving averages, and Elliot Wave pattern identification. Our counter trend, or trend reversal approach, is focused on recognition of support/resistance breaks in trend channels, retracements in bull markets, and extensions in bear markets. It also relies on technical readings of oscillators, such as Bollinger Bands, to identify extremes in ranges. Both approaches also rely upon technical pattern recognition.nbsp; Both approaches are comprised of numerous components.nbsp; &Initially we identify market opportunities by analyzing fundamental behavior of markets given prevailing economic news and current events on a secular basis. For example, &China?s growth outlook and the theory of its connection to globalcommodity inflation: this compels us to focus our research on specific markets such as oil, gold, and grains. With a fundamental idea of what we believe is important, we then proceed to study and test the technical behavior of those markets accordingly.nbsp; &Technical tests are broken down into three distinct categories, within which are two sub-tests, for a total of six tests, and six points. Trade ideas must score at least four points from these tests before becoming actual trades:1.nbsp; Elliot Wave analysis: At least two important parameters must be evident, but there are potentially six at any time. &2.nbsp; Momentum Indicators: RSI, stochastics, parabolas, Bollinger bands, and moving averages. At least two of these indicators have to be in confirmation. &3.nbsp; Chart Patterns: Wedges, pennants, head and shoulders, candlestick formations. At least two clearly identifiable patterns must be evident. The points system allows us to enhance trading decisions and capital allocations:nbsp; &a score of six allows us to maximize positions, a score of five reduces the position to eighty-percent of maximum, and a score of four reduces the position to sixty-percent of maximum.& Risk Management &MCM?s trade testing filter normally identifies between six to ten ?great? trades every year, in certain years perhaps as many as twenty. And at any one time we are not likely to have on more than six or seven such positions. Thus the frequency of trading is significantly below that of other managers, and thus overall risk of trading loss is necessarily lower as well. Additionally, our trade testing system includes scoring the probability of trend or pattern reversal, and thus scores the probability of loss per trade. Thus, a trade with a lower score necessarily will have a lower amount of investor capital at risk than a trade with a higher score ? a natural, built-in, risk-limiting device. Also, stops are placed at points which, if reached, would constitute contradictions of our understanding of the trend and the trade. Combining these two risk management guidelines meaningfully limits individual trade drawdown parameters.nbsp; Manager Biography &Paul Wiggins has had over seventeen years experience as a broker and trader in the global futures and options industry. He has been a top producer and analyst at Cantor Fitzgerald, Refco, and EDF Man. Over the past seven years he has been developing, refining, and implementing his proprietary trading methodologies. & Compare to: {{result.name}} {{result.description}} Index: Chart Type: AUM & Cumulative Returns Cumulative Returns Distribution Rolling Past performance is not necessarily indicative of future results. The risk of loss in trading commodity futures, options, and foreign exchange ("forex") is substantial. Compare to: Index: Select an Index Hang Seng Russell 2000 DAX FTSE 100 S&P 500 Index 10-Year Note VIX S&P 500 Monthly Annual Reward Average RoR: Max Gain: Gain Frequency: Average Gain: Gain Deviation: Risk Standard Deviation: Worst Loss: Loss Frequency: Average Loss: Loss Deviation: Reward/Risk Sharpe Ratio: (RF=1%) Skewness: Kurtosis: Reward Compound RoR: Average RoR: Max Gain: Gain Frequency: Average Gain: Gain Deviation: Risk Standard Deviation: Worst Loss: Loss Frequency: Average Loss: Loss Deviation: Reward/Risk Sharpe Ratio: (RF=1%) Skewness: Kurtosis: Past performance is not necessarily indicative of future results. The risk of loss in trading commodity futures, options, and foreign exchange ("forex") is substantial. Note: Figures shown in the Monthly column are the greatest figures (or worst for losses/drawdowns) for any particular month. The Annual figures are the greatest for any calendar year. Drawdown Report Depth Length (Mos.) Recovery (Mos.) Peak Valley -0.83 1 - 12/1/2007 1/1/2008 Show More Consecutive Gains Run-up Length (Mos.) Start End 12.06 3 10/1/2007 12/1/2007 Show More Consecutive Losses Run-up Length (Mos.) Start End -0.83 1 1/1/2008 1/1/2008 Show More Time Windows Analysis 1 Month Number of Periods4.00 Percent Profitable75.00 Average Period Return2.73 Average Gain3.92 Average Loss-0.83 Best Period8.58 Worst Period-0.83 Standard Deviation4.07 Gain Standard Deviation4.05 Loss Standard Deviation Sharpe Ratio (1%)0.65 Average Gain / Average Loss4.72 Profit / Loss Ratio14.17 Downside Deviation (10%)0.62 Downside Deviation (5%)0.46 Downside Deviation (0%)0.42 Sortino Ratio (10%)3.76 Sortino Ratio (5%)5.80 Sortino Ratio (0%)6.58 Top Performer Badges Index Award Type Rank Performance Period Past performance is not necessarily indicative of future results. The risk of loss in trading commodity futures, options, and foreign exchange ("forex") is substantial. x {{title}} x {{title}} Add Cancel