Strategy Concepts Club Issue 16 April 2016
Transcription
Strategy Concepts Club Issue 16 April 2016
Issue 16, April 2016 In this issue: Early Reversal Strategy Aroon Strategy Contents Issue 16 IN THIS ISSUE STAFF Early Reversal Strategy . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 PUBLISHER Michael Burke VP, Client Training and Education This strategy utilizes a combination of exponential moving averages, volatility measures and bar patterns in an attempt to capture new trend reversals. The strategy exhibits both mean-reversion and trend-following characteristics. EDITOR Stanley Dash, CMT VP, Applied Technical Analysis Aroon Strategy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 SENIOR CONTRIBUTING EDITOR Frederic Palmliden, CFA, CMT Senior Quantitative Analyst This strategy studies momentum by measuring time over price – that is, how long has it been between price events? This strategy is based on the Aroon indicator as developed by Tushar Chande. PRODUCTION Kristina Hunt Media Content Coordinator DOWNLOAD FILES EDITOR’S MESSAGE TradeStation Labs 8050 SW 10th Street, Suite 2000 Plantation, FL 33324 [email protected] All support, education and training services and materials on the TradeStation website are for informational purposes and to help customers learn more about how to use the power of TradeStation software and services. No type of trading or investment advice is being made, given or in any manner provided by any TradeStation affiliate. This material may also discuss in detail how TradeStation is designed to help you develop, test and implement trading strategies. However, TradeStation does not provide or suggest trading strategies. We offer you unique tools to help you design your own strategies and look at how they could have performed in the past. While we believe this is very valuable information, we caution you that simulated past performance of a trading strategy is no guarantee of its future performance or success. We also do not recommend or solicit the purchase or sale of any particular securities or derivative products. Any symbols referenced are used only for the purposes of the demonstration, as an example—not a recommendation. Finally, this material may discuss automated electronic order placement and execution. Please note that even though TradeStation has been designed to automate your trading strategies and deliver timely order placement, routing and execution, these things, as well as access to the system itself, may at times be delayed or even fail due to market volatility, quote delays, system and software errors, Internet traffic, outages and other factors. TradeStation Group, Inc. Affiliates: All proprietary technology in TradeStation is owned by TradeStation Technologies, Inc. Equities, equities options, and commodity futures products and services are offered by TradeStation Securities, Inc. (Member NYSE, FINRA, CME and SIPC). TradeStation Securities, Inc.’s SIPC coverage is available only for equities and equities options accounts. Copyright © 2001-2016 TradeStation Group, Inc. Welcome to the April 2016 issue of TradeStation Labs’ Strategy Concepts Club. We’re pleased to roll out a redesign of the Strategy Concepts Club TradingApp page. Our goal is to make it easier for you to view and access your subscriber benefits and easier for us to add and manage additional benefits in the future. The page also lets us communicate with our subscriber community. Of course, the centerpiece remains the current issue of Strategy Concepts Club. We’ve done away with the flipbook and made the PDF available directly from the View Current Issue button. The Bonus Feature is now published as a stand-alone article, available only to subscribers. The Benefits area makes it easier for you to find subscriber-only discounts and for us to add more benefits. The What’s News section is for information and announcements that relate to the work of technical analysis and strategy development. And a link to the Back Issues page has been added so you can check the archive and purchase issues that predate your subscription. Finally, the Short Subject section will contain occasional video messages from the editorial staff. These may preview an upcoming article, add additional perspective to a strategy or provide other supplementary information. And we promise – they’ll be short. While we hope you find these changes useful, we haven’t forgotten about the strategies. This month, Frederic Palmliden, CFA, CMT, and Senior Quantitative Analyst, has created the Early Reversal strategy. My contribution is a strategy built on Tushar Chande’s Aroon indicator, an analysis tool first published in 1995. And we thank Joe Krutsinger for contributing his Tomorrow’s Trend strategy as a bonus for our subscribers. As always, read on and thanks for being a subscriber! Stanley Dash, CMT STRATEGY CONCEPTS CLUB | 1 Early Reversal Strategy Frederic Palmliden, CFA, CMT Senior Quantitative Analyst BACKGROUND THE TSL:EARLY REVERSAL STRATEGY is an ambitious attempt to capture a newly formed trend reversal. The strategy utilizes multiple trading elements at the same time, from exponential moving averages and volatility measures to bar patterns. Among these is an Average True Range (ATR) measure combined with various exponential moving averages to help generate trading signals. Bar patterns are also used to determine whether long or short trades should be taken. Interestingly, the resulting strategy exhibits both mean-reversion and trendfollowing characteristics, since a trend reversal may not only be a correction in the prevailing trend but also be the start of a new trend. Some of these traits will be analyzed in detail in the Strategy Highlights section. The strategy presented here is applied to the E-mini S&P 500 futures contract on a daily bar interval, but other futures and equities could also be considered. A custom indicator is included to more easily track the strategy’s behavior. STRATEGY ELEMENTS The TSL:Early Reversal strategy is based on multiple strategy elements, including exponential moving averages, the Average True Range (ATR) and a bar pattern. Two separate, albeit similar, sets of elements are used for long and short entries: a particular combination of an exponential moving average, an ATR and a bar pattern is utilized for long entries, while a different combination is used for short entries. Both the trend high and the trend low are updated while a trend is developing (uptrend or downtrend). For instance, in an uptrend, when the current high exceeds the previously recorded trend high, the new high becomes the new trend high; the new low, which could be higher than the previously recorded trend low, becomes the new trend low for that particular uptrend. 2 | STRATEGY CONCEPTS CLUB Features u Strategy Style: Mean reversion Markets: Futures, equities u T rading Horizon: Swing trading u Studies/Files Included u Strategy u Indicator u Workspace DOWNLOAD FILES These levels are then used to monitor the formation of bar patterns referred to as BullSign and BearSign, which are used as the set-ups for entry signals. A BullSign occurs when the low is greater than the most recent trend high and remains active for a specified number of bars. While it is active, a long signal is generated when the close crosses over the line formed by the ATR measure subtracted from an exponential moving average. A BearSign occurs when the high is less than the most recent trend low and remains active for a specified number of bars. While it is active, a short signal is generated when the close crosses under the line formed by the ATR measure added to a different exponential moving average. Figure 1: E-mini S&P 500 Custom Continuous Contract (@ES=107XN) Daily Bars with the TSL:Early Reversal Strategy The TSL:Early Reversal indicator is provided to help visualize the trade signals. The indicator is used in the sample workspace with inputs set as listed below. The user can make any necessary changes. Input Default Description 80 Look-back length for the exponential moving average for long entries. EMA_Length_SE 20 Look-back length for the exponential moving average for short entries. ATR_Length 45 Look-back length for the average true range calculation. 0.33 Percentage of the average true range to be added/subtracted to/from the exponential moving averages (e.g., 0.33 = 33%). LX_Trail_Stop_ Length 40 Look-back length for the lowest low trailing stop to exit long trades. SX_Trail_Stop_ Length 25 Look-back length for the highest high trailing stop to exit short trades. EMA_Length_LE ATR_Pcnt Plot Description E. Rev. LE Lev Price level for long entries. E. Rev. SE Lev Price level for short entries. EMA_LE Exponential moving average used in connection with long entries (for reference purposes only). EMA_SE Exponential moving average used in connection with short entries (for reference purposes only). LowestLow Lowest low trailing stop. HighestHigh Highest high trailing stop. Notice that solid lines are used for the price levels used for trade entries, while dotted lines are used for the exponential moving averages used in connection with these price levels. By default, each set of lines is using a different color (i.e., dark blue lines for the lines associated with long entries and magenta lines for the lines associated with short entries). Notice also that the distance between the solid line and the dotted line for a particular set is dynamic, reflecting changes in volatility as reflected by the ATR measure. STRATEGY CONCEPTS CLUB | 3 Figure 2: TSL:Early Reversal Strategy Signal Example Figure 2 illustrates an example of a short entry. In this case, a BearSign takes place on May 25, 2007, with the bar’s high (see highlighted black dot in the middle of the chart) lower than the TrendLow (see horizontal line in the middle of the chart). The close subsequently crosses under the short entry line (solid magenta line) on bar number 8 (see highlighted bar on the far right portion of the chart), generating a short entry for the following bar. Notice also that an Analysis Commentary window is displayed on the top left side of the graphic. The window is available to help keep track of the BullSign/BearSign status as well as the selected bar’s TrendHigh and TrendLow. To access the Analysis Commentary window, simply use the View - Analysis Commentary menu sequence and click on the bar where the information is needed. It is possible that a BullSign may be active at the same time as a BearSign and vice versa, since once activated, a sign remains True for a specified number of bars (15 by default) unless a trade has been generated. Also, notice that the TrendLow number in the Analysis Commentary window within figure 2 reflects the new TrendLow as of that bar (i.e., the current bar’s low), not the old TrendLow that activated the BearSign. For long trades, positions are held until the low breaks the lowest low for a certain number of bars. Similarly, for short trades, positions are held until the high breaks the highest high for the same look-back period. Solid black lines are used by the indicator to show the price levels for trade exits (i.e., highest high and lowest low trailing stops). 4 | STRATEGY CONCEPTS CLUB The TSL:Early Reversal strategy inputs are displayed in the table below. Input Default Description EMA_Length_LE 80 Look-back length for the exponential moving average for long entries. EMA_Length_SE 20 Look-back length for the exponential moving average for short entries. ATR_Length 45 Look-back length for the average true range calculation. ATR_Pcnt 0.33 Percentage of the average true range to be added/subtracted to/from the exponential moving averages (e.g., 0.33 = 33%). Counter_Max 15 Maximum number of bars that a BullSign or BearSign can remain active. LX_Trail_Stop_ Length 40 Look-back length for the lowest low trailing stop to exit long trades. SX_Trail_Stop_ Length 25 Look-back length for the highest high trailing stop to exit short trades. The default input values were found, in part, by strategy optimization and sensitivity analysis (see the sensitivity analysis comments in the Strategy Performance Report Highlights section). Applying the strategy to other securities would likely require adjustments to the input values. STRATEGY RULES The TSL:Early Reversal strategy was applied to the E-mini S&P 500 Continuous Contract (@ES=107XN) using daily Figure 3: Strategy Performance Report – Performance Summary Tab All performance results are hypothetical. Past performance, actual or hypothetical, is not necessarily indicative of future results. bars. However, the strategy could be modified to be used on other securities (e.g., SPY) and bar intervals using the same basic principles. The detailed strategy rules are listed below. Long Entries u I f the close crosses over the level of 33% of the ATR below the 80-day exponential moving average and a BullSign has been generated within the last 15 bars, buy on a market order on the next bar. Short Entries u I f the close crosses under the level of 33% of the ATR above the 20-day exponential moving average and a BearSign has been generated within the last 15 bars, sell short on a market order on the next bar. Exits u When the low is below the lowest low of the last 40 bars, exit any long on a market order on the open of the next bar. u W hen the high is above the highest high of the last 25 bars, exit any short on a market order on the open of the next bar. STRATEGY PERFORMANCE REPORT HIGHLIGHTS BACK-TESTING SETTINGS Initial Capital $30,000 Trade Size 1 Contract Commissions $2.36 per side per contract History 10 years ending 12/31/15 Bar Interval Daily Additional Note: MaxBarsBack is set to 100 in the strategy properties to allow the user to increase the look-back length for the strategy’s exponential moving averages. Profit Factor u Th e theoretical profit factor, which is calculated by dividing the gross profit by the gross loss, is much higher for long trades (5.19) than for short trades (1.61). Both the percent profitable and the average win:average loss ratio stand out and combine to push the profit factor higher for long trades, but additional STRATEGY CONCEPTS CLUB | 5 trade history may be needed to assess the robustness of the profit factor. Figure 4: Strategy Performance Report – Performance Graphs Tab - Equity Curve Detailed Avg. Bars in Winning Trades versus Avg. Bars in Losing Trades u Th e average number of bars in winning trades (26.67) is more than twice the average number of bars in losing trades (9.51). Also, notice that the figures are very consistent for long and short trades. RINA Index u Th e RINA index, which is a risk-adjusted performance metric, is relatively low at 69.21 for a mean-reversion strategy. On the other hand, the figure is actually quite good when viewed in the context of a strategy that may be considered a mixture of mean reversion and trend following, and given the high percent of time in the market (71.84%). The equity curve is remarkably linear in the back-tested period. However, notice that the strategy had a rough go initially. In fact, the performance was basically flat for the first year after a noticeable drawdown. The volatility of the equity curve translated to a maximum weekly drawdown of about 25%. Notice also that there are several shorter flat periods throughout. Overall, the equity curve shows some of the preferred characteristics of both trend-following and mean-reversion strategies: relatively fast equity growth, relatively short periods of sideways performance for the most part and no extreme drawdowns. Figure 5 reinforces the idea that the strategy is able to capture the best part of both types of strategy. Losing trades are consistently small (see red circle), in line with what would be expected from a mean-reversion strategy. However, winning trades are split between small gains (see light blue circle), larger gains (see dark blue circle), and an outlier (see black circle), in line with what would be expected from a trend-following strategy. As in previous articles, instead of analyzing one strategy input in isolation, data from TradeStation’s Strategy Optimization Report can be used with Microsoft Excel 6 | STRATEGY CONCEPTS CLUB All performance results are hypothetical. Past performance, actual or hypothetical, is not necessarily indicative of future results. Figure 5: Strategy Performance Report – Trade Graphs Tab – Maximum Favorable Excursion All performance results are hypothetical. Past performance, actual or hypothetical, is not necessarily indicative of future results. to perform sensitivity analysis between two strategy inputs at the same time, by creating a 3-D chart. For this optimization, the strategy inputs that were not optimized were kept at their default values, per the table in the Strategy Elements section above. Figure 6 illustrates the impact on the back-tested net profit when the ATR_Length and ATR_Pcnt input values change. The surface chart reveals Figure 6: TSL:Early Reversal Strategy Inputs Sensitivity Analysis a ridge formation with a fairly flat top. The chosen default values for the two inputs are not peak values, but are near the center of the ridge formation where the ATR_Length input is 45 and the ATR_Pcnt is 0.33. SUGGESTIONS FOR IMPROVEMENT The TSL:Early Reversal strategy is technically a meanreversion strategy, but it exhibits traits of both meanreversion and trend-following strategies. Not surprisingly, this produced back-tested performance results common to both strategy types. The strategy also included multiple strategy elements that were deployed at the same time and showed how different sets of elements can be used for long and short trades. A possible area of improvement would be to include a money-management technique to scale into a long or short position in an effort to reduce drawdowns. This idea would probably require additional strategy rules, but a simple example to explore would be to initiate a position as soon as a BearSign or BullSign is activated. Overall, the strategy revealed interesting new ideas to explore further. Several ideas that were not included in this article were considered but did not lead to promising outcomes. For instance, including separate ATR strategy inputs for long and short trades did not add risk-adjusted value in early testing. Likewise, a separate bar counter for the BullSign and the BearSign did not seem to make a noticeable difference, either. Frederic Palmliden, CFA, CMT, is Senior Quantitative Analyst at TradeStation. As part of the TradeStation Labs team, he designs custom strategies, indicators and related educational content for TradeStation publications. In addition to being a Chartered Market Technician (CMT), Frederic holds the Chartered Financial Analyst ® designation and has 15 years’ experience in the financial services industry, ranging from research and asset allocation strategies to proprietary trading. Frederic is also trilingual in English, French, and Swedish. STRATEGY CONCEPTS CLUB | 7 Visit TradeStation Labs ® in the TradingApp Store Built by traders for traders, the TradingApp® Store gives TradeStation clients access to more ideas, strategies and custom trading solutions than ever before. TradeStation Labs is an active contributor to the TradingApp Store, with dozens of custom products available for download. uS elect and download any product instantly Products from TradeStation Labs in the TradingApp Store download directly to your TradeStation desktop platform in seconds – offering full compatibility and seamless integration. u I n-house support TradeStation Labs is a team of technical analysts who work side by side with the platform developers, bridging the possibilities of what can be done with TradeStation and what you need to realize those possibilities. All TradeStation Labs’ products are geared to helping you make the most of your TradeStation experience. TRADESTATION LABS’ FEATURED PRODUCT Contrarian Z-Score – Updated Looking for an alternative to stochastics or RSI? Try an indicator that uses volatility instead of price to create an oscillator that gauges overbought and oversold levels. The TSL.Avg Z-Score indicator is an alternative to overbought/ oversold oscillators that are based solely on price. For example, while stochastics and RSI use only price levels and price changes, this indicator is based on volatility and uses the Z-score, the distance between price and average price expressed in standard deviations. From that value, it plots the average Z-score and the momentum of the average Z-score. This, combined with the fact that it is unbounded, creates an oscillator that is less subject to the “pinning” effect: getting stuck in overbought or oversold mode for extended periods when a market is trending. Inputs make it easy to adjust the speed and sensitivity of the indicator, and alerts help you monitor critical levels. LEARN MORE The indicator is applicable to any market and bar interval, and can also be used in RadarScreen® to monitor, rank and sort a list of symbols in real time. Aroon Strategy Stanley Dash, CMT VP, Applied Technical Analysis BACKGROUND MOST MOMENTUM OSCILLATORS are focused on price changes over or during a span of bars. The convention, of course, is to measure price over time, as represented by bars. Much less work has been done to study momentum by measuring time over price – that is, how long does it take for a particular indicator event to manifest or, in the case examined here, how long has it been between events? Dr. Tushar Chande published the Aroon indicator in Technical Analysis of Stocks and Commodities magazine in 1995. This strategy is built on his work as documented in that article. The following quote and those found in the Strategy Elements section were taken directly from that article: Tushar S. Chande, “A Time Price Oscillator,” Technical Analysis of Stocks & Commodities, V.13:09 (369-374). “You can count on the markets changing direction, just as you can count on day following the night. Like the sun, trends emerge, rise to a peak, weaken and fade away. In Sanskrit, aroon is the word for dawn’s early light, the first sign of a new day or a change from night to day. Thus, ‘aroon’ is an apt name for an indicator that is sensitive to the beginning of a new trend. This new indicator combines price and time in a way that illuminates the evolution of the price trend, 9 | STRATEGY CONCEPTS CLUB Features u Strategy Style: Trend following M arkets: Equities, futures u Trading Horizon: Position trading u Studies/Files Included Strategy u Indicators u Workspace u DOWNLOAD FILES and you can use it to identify periods when trend-following or antitrend strategies are likely to succeed.” STRATEGY ELEMENTS Chande describes a simple pair of calculations to measure how long ago the highest high and lowest low were made over a fixed number of bars. The measure of each is expressed as a percent of the bar span (length). For example, a new high on the current bar would return a value of 100. As time passes from that bar without a new high, the value drops as a percent of the bar Figure 1: SPDR S&P 500 ETF (SPY) Daily with TSL:Aroon strategy and indicators span. If, say, the last new high was made halfway back in the span of bars, the indicator would return 50. Chande’s work uses this same method to measure the time in bars since the last new low. Although the Aroon Up and Aroon Down values cannot exceed 100, the values cannot quite reach 0, since there must be a highest high and lowest low somewhere in the span of bars. Therefore, the lowest value that can be returned is 1 / Length * 100. This approach has the effect of placing greater emphasis on time than price, an unusual perspective for an indicator of this type. There is no measure of price change or rate of change per se. The only price consideration is whether and when new highs and lows are made during the period, with the resulting values expressed as a percent of the number of bars in the length. Three different values are calculated and plotted using Aroon. They appear in figure 1 above. Aroon Up u Th e number of bars ago that the highest high was made expressed as a percent of the bars in the length. Aroon Down u Th e number of bars ago that the lowest low was made expressed as a percent of the bars in the length. Aroon Oscillator u Th e difference between Aroon Up and Aroon Down. This indicator can range from +100 to -100. (Technically, this oscillator cannot reach +100 or -100 for the same reason mentioned above: Aroon Up and Aroon Down cannot reach 0.) STRATEGY CONCEPTS CLUB | 10 The Aroon values and their relationships are interesting ways to summarize and visualize highs and lows in relation to a price channel. For example, Aroon Up reaching 100 means there has been an upside breakout of a price channel on that bar; Aroon Oscillator crossing 0 is the same as Aroon Up and Aroon Down crossing. In his article, Chande offers several ways to interpret Aroon values without specifying any codified rules. The rules offered here are derived from his interpretations with the goal of maintaining simplicity. These direct quotes from his article summarize the signals that have been selected for use in the TSL:Aroon strategy. Notice that the first two quotes express the same principle. “…the crossover of the two lines [Aroon Up and Aroon Down] suggesting future price direction.” “The Aroon Oscillator … zero crossover gave good signals for buys and sells.” “The uptrend [Aroon Up] and downtrend [Aroon Down] lines make useful patterns when they move parallel to one another, indicating a consolidation…” “A value of 50 for the Aroon Up [Down] indicator simply means that 13 days have passed since the most recent 25-day high, which indicates a loss of upside [downside] momentum.” The entries in the TSL:Aroon strategy are signaled by crossovers of Aroon Up and Aroon Down. Longs are closed when Aroon Up weakens, and shorts are closed when Aroon Down weakens. Finally, a period of consolidation is a signal to close any open position. Referring to the chart on the left in figure 2, point A highlights Aroon Down crossing over Aroon Up (Aroon Oscillator crossing under 0) and prompting a short entry. The short is covered at point B when Aroon Down has weakened, suggesting a loss of bearish momentum. Figure 2: Aroon entries with a “weakening Aroon” short exit (left chart) and a “consolidating Aroon” long exit (right chart) 11 | STRATEGY CONCEPTS CLUB Point C in the chart on the right in figure 2 marks Aroon Up crossing over Aroon Down (Aroon Oscillator crossing over 0), prompting a long entry. The long is liquidated at point D following a period of consolidation, as evidenced by the parallel movement of Aroon Up and Aroon Down (Aroon Oscillator moving sideways). In addition to the strategy, two Aroon indicators are included. Remember to set the inputs for these indicators to the same values used in the strategy so the visual cues match the trading signals. The TSL:Aroon_Up_Down indicator plots both Aroon Up and Aroon Down. Description In addition to a Length input, the TSL:Aroon strategy includes two inputs for the exit rules. Input Default Description Length 25 Span of bars for Aroon calculations ExitValue 65 Aroon value that generates an exit signal ConsolBars 8 Consecutive bars of parallel Aroon movement (unchanged Aroon oscillator) that generates an exit signal STRATEGY RULES The strategy rules for TSL:Aroon are summarized here, with reference to the exit inputs listed above. Input Default Length 25 Span of bars for Aroon calculations ReferenceLine1 40 Value for horizontal reference line Long Entries ReferenceLine2 60 Value for horizontal reference line u I f Aroon Up crosses over Aroon Down (equivalent to the Aroon Oscillator crossing over 0), then buy on the open of the next bar. Plot Description Aroon Up Aroon Up value Aroon Down Aroon Down value RefLine1 Horizontal reference line RefLine2 Horizontal reference line Alert Criteria Alert Text Up crossing over Aroon Aroon Up crosses over Aroon Down “Aroon Down” Down crossing over Aroon Aroon Down crosses over Aroon Up "Aroon Up" The TSL:Aroon Oscillator indicator plots the Aroon Oscillator separate from Aroon Up and Aroon Down. Input Default Description Length 25 Span of bars for Aroon calculations ReferenceLine 0 Value for horizontal reference line Plot Description Aroon Osc Aroon oscillator value RefLine Horizontal reference line Alert Criteria Alert Text Aroon Oscillator crosses over 0 "Aroon Oscillator crossing over 0" Aroon Oscillator crosses under 0 "Aroon Oscillator crossing under 0" Short Entries u I f Aroon Down crosses over Aroon Up (equivalent to the Aroon Oscillator crossing under 0), then sell short on the open of the next bar. Exits u If Aroon Up weakens below the value of the input ExitValue, then sell at the open of the next bar. u I f Aroon Down weakens below the value of the input ExitValue, then buy to cover at the open of the next bar. u I f Aroon Up is greater than Aroon Down and the two are moving lower in parallel on a series of bars (equivalent to the Aroon Oscillator moving sideways), then sell next bar at market. The number of bars in the series defining a consolidation is controlled by the input ConsolBars. u I f Aroon Down is greater than Aroon Up and the two are moving lower in parallel on a series of bars (equivalent to the Aroon Oscillator moving sideways), then buy to cover next bar at market. The number of bars in the series to define a consolidation is controlled by the input ConsolBars. STRATEGY CONCEPTS CLUB | 12 Figure 3: Strategy Performance Report – Performance Summary tab All performance results are hypothetical. Past performance, actual or hypothetical, is not necessarily indicative of future results. STRATEGY PERFORMANCE REPORT HIGHLIGHTS BACK-TESTING SETTINGS The following input values were found through a general series of optimizations and are not necessarily optimal values in themselves. Input Value Length 29 ExitValue 69 ConsolBars 8 Trade Size $25,000, rounded down to the nearest 10 shares, minimum 50 shares Commissions $.01 per share History 10 years ending 12/31/2015 Bar Interval Daily 13 | STRATEGY CONCEPTS CLUB In reviewing the data on the Strategy Performance Report – Performance Summary tab, it is clear that the long side has more favorable metrics in almost all fields. And while the short side results are acceptable, it should be noted that there is a large positive-outlier short trade that is the Largest Winning Trade in figure 3. (Outliers are identified on the Trade Analysis tab of the Strategy Performance Report.) Profit Factor u W hile favoring the long side, this metric is in a reasonable range for trend following. Percent Profitable u The win rate exceeds what might generally be expected for a trend-following strategy. Ratio Avg. Win:Avg. Loss u Both long and short trades show this ratio at around 2. This is particularly reassuring when viewed alongside the Percent Profitable. Avg. Bars in Winning Trades / Avg. Bars in Losing Trades u Holding periods for winning trades exceeded those for losing trades, as should be the case for trend following. Clearly, however, the long side was much more favorable, with winners being held 2.4 times longer than losers. Figure 4: Strategy Performance Report – Performance Graphs tab - Equity Curve Line All performance results are hypothetical. Past performance, actual or hypothetical, is not necessarily indicative of future results. Total Shares/Contracts Held u Results in these articles are often shown based on a fixed trade size such as 100 shares or 1 contract. In this case, an ongoing commitment of $25,000 was selected due to the large range in the price of SPY in the 10-year test period, a range of approximately 147 points. The strategy generated 73 signals and the total shares held were 12,400, indicating an average trade size of 170 shares. This is useful in comparing these results to a fixed trade size of 100 shares. For example, are these results showing more than 170% of the profit for the same strategy traded with 100 shares? That, along with risk-adjusted metrics, begins addressing the question of whether there was a payoff for the larger positions. Percent of Time in the Market u At about 55% (not shown), the percent of time in the market is modest for a trend-following strategy Stanley Dash, CMT is Vice-president, Applied Technical Analysis, at TradeStation. He and his group support active and institutional traders with analytical tools and education designed to help them become more effective traders. His Wall Street career began in 1975 and includes time as an active floor trader at one of the leading U.S. futures and options exchanges. Mr. Dash has lectured for the New York Institute of Finance and the Institute for Financial Markets. He is also a Chartered Market Technician and a member of the Market Technicians Association, where he serves on the Editorial Board of the Association’s Journal of Technical Analysis. SUGGESTIONS FOR IMPROVEMENT The logic in the strategy allows for the possibility of early exits, profitable or not, with no rules for a reentry. For example, a weakening Aroon Up might prompt an exit from a long position and the trend might resume without the opportunity for a new crossover to generate an additional buy signal. This is a common challenge in trend-following strategies. In this case, an Aroon value of 100, i.e., a channel breakout, in the same direction as the last signal might be a useful reentry. Another level of analysis could be added by employing a second set of Aroon calculations based on a different length. Perhaps a long (slow) length might be used to set the trend bias and a short (fast) length used for signals only in the direction of that trend. Finally, this article used daily bars in the examples. The strategy may be applied to other intervals, with different Length values, particularly for intraday trading. STRATEGY CONCEPTS CLUB | 14