SlideShare a Scribd company logo
2
Most read
3
Most read
4
Most read
1
The Swing Trader
Our Swing Trader portfolio trades the S&P 500 Emini Futures (ES) and Ten Year Note (TY). This is a
100% automated trading system which can be auto-executed with best efforts by multiple NFA
Registered Brokers. It can also be installed and loaded onto the Tradestation platform.
Walk-Forward Performance Summary
The following data covers the walk-forward (out-of-sample) period covering 10/15/15-8/1/17. Trading
futures involves substantial risk of loss and is not appropriate for all investors. Past performance is not
indicative of future performance.
The Swing Trader
Unit Size $15,000
Period Covered 10/1/15-
8/1/17
(walk-
forward)
Total P/L $ $18,610
Number of Trades 181
Percent Profitable 75.69%
Maximum Drawdown* -$6,779
Maximum Drawdown Duration 9/9/16-
11/14/16
Average Per Month 5.64%
Average Per Year 67.67%
* Losses could exceed maximum drawdown. This is measured from peak-to-valley, closing trade to closing trade.
CFTC RULE 4.41: 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.
2
Back-Tested Performance Summary
The following data covers the back-tested (in-sample) period covering 10/1/03-9/30/15. Trading futures
involves substantial risk of loss and is not appropriate for all investors.
The Swing Trader
Unit Size $15,000
Period Covered 10/1/03-9/30/15
(back-tested*)
Number of Trades 1244
Percent Profitable 78%
Maximum Drawdown* -$6,521
Maximum Drawdown Duration 9/9/16-11/14/16
Average Per Month 6.30%
Average Per Year 75.57%
*CFTC RULE 4.41: 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.
3
Monthly Performance
These results assume the ES and TY were all traded evenly across a strategy exactly as our alerts
described. Trades beginning in October 2015 are considered Walk-Forward/Out-of-Sample, while
trades prior to October 2015 are considered back-tested. Profit/Loss given are based on a $15,000
account trading 1 unit on the Swing Trader. This data is Non-Compounded.
Swing Trader Monthly Performance (as of 8/1/17)
CFTC RULE 4.41: 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. Gains presented do not include the
license fee charged by AlgorithmicTrading.net for the use of it’s algorithms.
HYPOTHETICAL PERFORMANCE RESULTS HAVE MANY INHERENT LIMITATIONS, SOME OF WHICH ARE DESCRIBED BELOW.
NO REPRESENTATION IS BEING MADE THAT ANY ACCOUNT WILL OR IS LIKELY TO ACHIEVE PROFITS OR LOSSES SIMILAR
TO THOSE SHOWN; IN FACT, THERE ARE FREQUENTLY SHARP DIFFERENCES BETWEEN HYPOTHETICAL PERFORMANCE
RESULTS AND THE ACTUAL RESULTS SUBSEQUENTLY ACHIEVED BY ANY PARTICULAR TRADING PROGRAM. ONE OF THE
LIMITATIONS OF HYPOTHETICAL PERFORMANCE RESULTS IS THAT THEY ARE GENERALLY PREPARED WITH THE BENEFIT OF
HINDSIGHT. IN ADDITION, HYPOTHETICAL TRADING DOES NOT INVOLVE FINANCIAL RISK, AND NO HYPOTHETICAL
TRADING RECORD CAN COMPLETELY ACCOUNT FOR THE IMPACT OF FINANCIAL RISK OF ACTUAL TRADING. FOR EXAMPLE,
THE ABILITY TO WITHSTAND LOSSES OR TO ADHERE TO A PARTICULAR TRADING PROGRAM IN SPITE OF TRADING LOSSES
ARE MATERIAL POINTS WHICH CAN ALSO ADVERSELY AFFECT ACTUAL TRADING RESULTS. THERE ARE NUMEROUS OTHER
FACTORS RELATED TO THE MARKETS IN GENERAL OR TO THE IMPLEMENTATION OF ANY SPECIFIC TRADING PROGRAM
WHICH CANNOT BE FULLY ACCOUNTED FOR IN THE PREPARATION OF HYPOTHETICAL PERFORMANCE RESULTS AND ALL
WHICH CAN ADVERSELY AFFECT TRADING RESULTS.
4
Pricing Options
Option #1: Outright Lease
With Option #1, our we charge a one-time setup fee based on the number of contracts you wish to trade and a
maintenance fee of 5% of profits generated billed monthly based on a high-water mark.
Option #2: Profit Share Plan
With Option #2, we charge a much smaller one time setup fee based on the number of contracts you wish to trade. In
addition, we bill you for 20% of the profits made using our algorithms. This is done using a high-water mark, based on
the net liquidating value of the account at the completion of each month.
Note: Per our disclaimer, AlgorithmicTrading.net is a third party trading system developer (not a registered CTA). The
profit share plan is considered a payment for the use of our algorithms.
5
Disclaimer
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.
In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely
account for the impact of financial risk in actual trading. For example, the ability to withstand losses or to adhere to a
particular trading program in spite of trading losses are material points which can also adversely affect actual trading
results. There are numerous other factors related to the markets in general or to the implementation of any specific
trading program, which cannot be fully accounted for in the preparation of hypothetical performance results and all of
which can adversely affect actual trading results.
Material assumptions and methods used when calculating results
The following are material assumptions used when calculating any hypothetical monthly results that appear on our web
site.
• Profits are not reinvested. We do not show compounded returns. All results posted assume $15,000 is traded
throughout the entire period analyzed (1 contract on each algorithm).
• Starting investment size. For any trading strategy on our site, hypothetical results are based on the
assumption that you initially invested $15,000 (the per unit trade size).
• One time setup fee, maintenance fee/profit share is not included in results posted unless otherwise
noted.
• "Max Drawdown" Calculation Method. We calculate the Max Drawdown statistic as follows. Our analysis looks
at the equity chart of the system in question and finds the largest dollar amount that the equity chart ever
declines from a local "peak" to a subsequent point in time (thus this is formally called "Maximum Peak to Valley
Drawdown.") on a closing trade to closing trade basis. While this is useful information when evaluating trading
systems, you should keep in mind that past performance does not guarantee future results. Therefore, future
drawdowns may be larger than the historical maximum drawdowns you see here.
Trading is risky
There is a substantial risk of loss in futures trading. Don't trade with money you cannot afford to lose.
Third part trading system developer
AlgorithmicTrading.net provides trading algorithms based on a computerized system, which is also available for use on
a personal computer. All customers receive the same signals within any given algorithm package. All advice is
impersonal and not tailored to any individual’s unique situation. AlgorithmicTrading.net, and it’s principles, are not
required to register with the NFA as a CTA and are publicly claiming this exemption. Information posted online or
distributed through email has NOT been reviewed by any government agencies. Carefully consider this prior to
purchasing or leasing our algorithms.

More Related Content

PPT
Dynamic stopcharts
PPT
Nifty Based System Trading1
PDF
FXPerpetual-Performance-Flyer-October
PDF
Factsheet tiger jun 19-retail
PDF
Factsheet tiger may 19-retail
PPT
Trading System Seminar Handout
PDF
Factsheet lion may 19-retail
PDF
Chaos Complete Webinar
Dynamic stopcharts
Nifty Based System Trading1
FXPerpetual-Performance-Flyer-October
Factsheet tiger jun 19-retail
Factsheet tiger may 19-retail
Trading System Seminar Handout
Factsheet lion may 19-retail
Chaos Complete Webinar

What's hot (20)

PPT
Clean Breakout
PDF
Factsheet tirthas x5 may 19-retail
PDF
Master trend-following
PDF
Black Swan Event and How to Prepare for It
PDF
Factsheet tirthas x3 apr 19-retail
PDF
Factsheet tirthas x5 jun 19-retail
PDF
Factsheet tirthas x3 may 19-retail
PDF
QuantScape Equity Index Program v.1.4.3 (Version 2015-11)
PPTX
SMB Chart Summitt 2017
PPTX
SMB Training: Trash to Treasure Swing Trade in PLUG
PDF
Factsheet tirthas x3 jun 19-retail
PDF
Quant Trader Basics
PPT
Am reversal trade
PPTX
Algorithmic trading
PPTX
CHAPTER 7: TECHNICAL ANALYSIS BINARY OPTION
PDF
FX Perpetual- Key Features
PPTX
Algorithmic Trading: an Overview
PDF
Synergy method
PDF
Factsheet investo apr 19-institutional
PDF
Factsheet tirthas x1 apr 19-retail
Clean Breakout
Factsheet tirthas x5 may 19-retail
Master trend-following
Black Swan Event and How to Prepare for It
Factsheet tirthas x3 apr 19-retail
Factsheet tirthas x5 jun 19-retail
Factsheet tirthas x3 may 19-retail
QuantScape Equity Index Program v.1.4.3 (Version 2015-11)
SMB Chart Summitt 2017
SMB Training: Trash to Treasure Swing Trade in PLUG
Factsheet tirthas x3 jun 19-retail
Quant Trader Basics
Am reversal trade
Algorithmic trading
CHAPTER 7: TECHNICAL ANALYSIS BINARY OPTION
FX Perpetual- Key Features
Algorithmic Trading: an Overview
Synergy method
Factsheet investo apr 19-institutional
Factsheet tirthas x1 apr 19-retail
Ad

Similar to Swing Trading System by AlgorithmicTrading.net (20)

PDF
Algorithmic Trading Basics: Strategies & Systems
PDF
ICT Mentorship Month 1 Notes.pdf
PDF
Managed Futures - Chaos Cruncher
PPTX
Algo Trading BasicsAlgo Trading Basics Algo Trading Basics
PDF
Impact of Stock Market Transactions in Our Income Tax Return
PDF
Everi Holdings Investor Presentation November 2016
DOCX
Saltanat CuadraFarah Mohammad RasheedSabrina NaqviGloria the.docx
PDF
Backtesting Engine for Trading Strategies
PDF
How do you design a winning trading system ofa
PDF
Dreamforce 2014 Analyst Day
PDF
03- Time Based Liquidity from arjo ict.pdf
PPTX
Value versus momentum
PPTX
The Sustainable Active Investing Framework: Simple, but Not Easy by Wesley Gr...
PPT
2008 Investment Symposium Zhang 3 24 08
PDF
Solution Manual for Business Analysis and Valuation: IFRS edition
PPT
CMAC 1000 Presentation
DOC
Strategy Part 3 - Combined Models
PDF
Auto Trading Systems, 2010 Newsletter
PPTX
Kxd 1 with momentum and trend filter
PPTX
True Portfolio Diversification
Algorithmic Trading Basics: Strategies & Systems
ICT Mentorship Month 1 Notes.pdf
Managed Futures - Chaos Cruncher
Algo Trading BasicsAlgo Trading Basics Algo Trading Basics
Impact of Stock Market Transactions in Our Income Tax Return
Everi Holdings Investor Presentation November 2016
Saltanat CuadraFarah Mohammad RasheedSabrina NaqviGloria the.docx
Backtesting Engine for Trading Strategies
How do you design a winning trading system ofa
Dreamforce 2014 Analyst Day
03- Time Based Liquidity from arjo ict.pdf
Value versus momentum
The Sustainable Active Investing Framework: Simple, but Not Easy by Wesley Gr...
2008 Investment Symposium Zhang 3 24 08
Solution Manual for Business Analysis and Valuation: IFRS edition
CMAC 1000 Presentation
Strategy Part 3 - Combined Models
Auto Trading Systems, 2010 Newsletter
Kxd 1 with momentum and trend filter
True Portfolio Diversification
Ad

Recently uploaded (20)

PDF
how_to_earn_50k_monthly_investment_guide.pdf
PDF
Lecture1.pdf buss1040 uses economics introduction
PDF
Predicting Customer Bankruptcy Using Machine Learning Algorithm research pape...
PPTX
Basic Concepts of Economics.pvhjkl;vbjkl;ptx
PDF
caregiving tools.pdf...........................
PDF
way to join Real illuminati agent 0782561496,0756664682
PDF
Copia de Minimal 3D Technology Consulting Presentation.pdf
PDF
ECONOMICS AND ENTREPRENEURS LESSONSS AND
PDF
Q2 2025 :Lundin Gold Conference Call Presentation_Final.pdf
PPTX
Session 3. Time Value of Money.pptx_finance
PDF
ABriefOverviewComparisonUCP600_ISP8_URDG_758.pdf
PDF
Dialnet-DynamicHedgingOfPricesOfNaturalGasInMexico-8788871.pdf
DOCX
marketing plan Elkhabiry............docx
PDF
financing insitute rbi nabard adb imf world bank insurance and credit gurantee
PDF
final_dropping_the_baton_-_how_america_is_failing_to_use_russia_sanctions_and...
PDF
Understanding University Research Expenditures (1)_compressed.pdf
PDF
Circular Flow of Income by Dr. S. Malini
PDF
illuminati Uganda brotherhood agent in Kampala call 0756664682,0782561496
PPTX
Introduction to Managemeng Chapter 1..pptx
PPT
E commerce busin and some important issues
how_to_earn_50k_monthly_investment_guide.pdf
Lecture1.pdf buss1040 uses economics introduction
Predicting Customer Bankruptcy Using Machine Learning Algorithm research pape...
Basic Concepts of Economics.pvhjkl;vbjkl;ptx
caregiving tools.pdf...........................
way to join Real illuminati agent 0782561496,0756664682
Copia de Minimal 3D Technology Consulting Presentation.pdf
ECONOMICS AND ENTREPRENEURS LESSONSS AND
Q2 2025 :Lundin Gold Conference Call Presentation_Final.pdf
Session 3. Time Value of Money.pptx_finance
ABriefOverviewComparisonUCP600_ISP8_URDG_758.pdf
Dialnet-DynamicHedgingOfPricesOfNaturalGasInMexico-8788871.pdf
marketing plan Elkhabiry............docx
financing insitute rbi nabard adb imf world bank insurance and credit gurantee
final_dropping_the_baton_-_how_america_is_failing_to_use_russia_sanctions_and...
Understanding University Research Expenditures (1)_compressed.pdf
Circular Flow of Income by Dr. S. Malini
illuminati Uganda brotherhood agent in Kampala call 0756664682,0782561496
Introduction to Managemeng Chapter 1..pptx
E commerce busin and some important issues

Swing Trading System by AlgorithmicTrading.net

  • 1. 1 The Swing Trader Our Swing Trader portfolio trades the S&P 500 Emini Futures (ES) and Ten Year Note (TY). This is a 100% automated trading system which can be auto-executed with best efforts by multiple NFA Registered Brokers. It can also be installed and loaded onto the Tradestation platform. Walk-Forward Performance Summary The following data covers the walk-forward (out-of-sample) period covering 10/15/15-8/1/17. Trading futures involves substantial risk of loss and is not appropriate for all investors. Past performance is not indicative of future performance. The Swing Trader Unit Size $15,000 Period Covered 10/1/15- 8/1/17 (walk- forward) Total P/L $ $18,610 Number of Trades 181 Percent Profitable 75.69% Maximum Drawdown* -$6,779 Maximum Drawdown Duration 9/9/16- 11/14/16 Average Per Month 5.64% Average Per Year 67.67% * Losses could exceed maximum drawdown. This is measured from peak-to-valley, closing trade to closing trade. CFTC RULE 4.41: 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.
  • 2. 2 Back-Tested Performance Summary The following data covers the back-tested (in-sample) period covering 10/1/03-9/30/15. Trading futures involves substantial risk of loss and is not appropriate for all investors. The Swing Trader Unit Size $15,000 Period Covered 10/1/03-9/30/15 (back-tested*) Number of Trades 1244 Percent Profitable 78% Maximum Drawdown* -$6,521 Maximum Drawdown Duration 9/9/16-11/14/16 Average Per Month 6.30% Average Per Year 75.57% *CFTC RULE 4.41: 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.
  • 3. 3 Monthly Performance These results assume the ES and TY were all traded evenly across a strategy exactly as our alerts described. Trades beginning in October 2015 are considered Walk-Forward/Out-of-Sample, while trades prior to October 2015 are considered back-tested. Profit/Loss given are based on a $15,000 account trading 1 unit on the Swing Trader. This data is Non-Compounded. Swing Trader Monthly Performance (as of 8/1/17) CFTC RULE 4.41: 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. Gains presented do not include the license fee charged by AlgorithmicTrading.net for the use of it’s algorithms. HYPOTHETICAL PERFORMANCE RESULTS HAVE MANY INHERENT LIMITATIONS, SOME OF WHICH ARE DESCRIBED BELOW. NO REPRESENTATION IS BEING MADE THAT ANY ACCOUNT WILL OR IS LIKELY TO ACHIEVE PROFITS OR LOSSES SIMILAR TO THOSE SHOWN; IN FACT, THERE ARE FREQUENTLY SHARP DIFFERENCES BETWEEN HYPOTHETICAL PERFORMANCE RESULTS AND THE ACTUAL RESULTS SUBSEQUENTLY ACHIEVED BY ANY PARTICULAR TRADING PROGRAM. ONE OF THE LIMITATIONS OF HYPOTHETICAL PERFORMANCE RESULTS IS THAT THEY ARE GENERALLY PREPARED WITH THE BENEFIT OF HINDSIGHT. IN ADDITION, HYPOTHETICAL TRADING DOES NOT INVOLVE FINANCIAL RISK, AND NO HYPOTHETICAL TRADING RECORD CAN COMPLETELY ACCOUNT FOR THE IMPACT OF FINANCIAL RISK OF ACTUAL TRADING. FOR EXAMPLE, THE ABILITY TO WITHSTAND LOSSES OR TO ADHERE TO A PARTICULAR TRADING PROGRAM IN SPITE OF TRADING LOSSES ARE MATERIAL POINTS WHICH CAN ALSO ADVERSELY AFFECT ACTUAL TRADING RESULTS. THERE ARE NUMEROUS OTHER FACTORS RELATED TO THE MARKETS IN GENERAL OR TO THE IMPLEMENTATION OF ANY SPECIFIC TRADING PROGRAM WHICH CANNOT BE FULLY ACCOUNTED FOR IN THE PREPARATION OF HYPOTHETICAL PERFORMANCE RESULTS AND ALL WHICH CAN ADVERSELY AFFECT TRADING RESULTS.
  • 4. 4 Pricing Options Option #1: Outright Lease With Option #1, our we charge a one-time setup fee based on the number of contracts you wish to trade and a maintenance fee of 5% of profits generated billed monthly based on a high-water mark. Option #2: Profit Share Plan With Option #2, we charge a much smaller one time setup fee based on the number of contracts you wish to trade. In addition, we bill you for 20% of the profits made using our algorithms. This is done using a high-water mark, based on the net liquidating value of the account at the completion of each month. Note: Per our disclaimer, AlgorithmicTrading.net is a third party trading system developer (not a registered CTA). The profit share plan is considered a payment for the use of our algorithms.
  • 5. 5 Disclaimer 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. In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk in actual trading. For example, the ability to withstand losses or to adhere to a particular trading program in spite of trading losses are material points which can also adversely affect actual trading results. There are numerous other factors related to the markets in general or to the implementation of any specific trading program, which cannot be fully accounted for in the preparation of hypothetical performance results and all of which can adversely affect actual trading results. Material assumptions and methods used when calculating results The following are material assumptions used when calculating any hypothetical monthly results that appear on our web site. • Profits are not reinvested. We do not show compounded returns. All results posted assume $15,000 is traded throughout the entire period analyzed (1 contract on each algorithm). • Starting investment size. For any trading strategy on our site, hypothetical results are based on the assumption that you initially invested $15,000 (the per unit trade size). • One time setup fee, maintenance fee/profit share is not included in results posted unless otherwise noted. • "Max Drawdown" Calculation Method. We calculate the Max Drawdown statistic as follows. Our analysis looks at the equity chart of the system in question and finds the largest dollar amount that the equity chart ever declines from a local "peak" to a subsequent point in time (thus this is formally called "Maximum Peak to Valley Drawdown.") on a closing trade to closing trade basis. While this is useful information when evaluating trading systems, you should keep in mind that past performance does not guarantee future results. Therefore, future drawdowns may be larger than the historical maximum drawdowns you see here. Trading is risky There is a substantial risk of loss in futures trading. Don't trade with money you cannot afford to lose. Third part trading system developer AlgorithmicTrading.net provides trading algorithms based on a computerized system, which is also available for use on a personal computer. All customers receive the same signals within any given algorithm package. All advice is impersonal and not tailored to any individual’s unique situation. AlgorithmicTrading.net, and it’s principles, are not required to register with the NFA as a CTA and are publicly claiming this exemption. Information posted online or distributed through email has NOT been reviewed by any government agencies. Carefully consider this prior to purchasing or leasing our algorithms.