About The Company
AlgorithmicTrading.net’s journey began in August 2013 when it’s lead developer and owner began offering his trading systems to the public. The purpose was to begin offering what he considered to be high quality trading systems to both retail traders and high net worth investors. Richard had been trading the markets off and on since 2001 (with not much success) and quickly realized that minimizing the emotions of trading was the key to success.
In February 2014, the parent company Quant Algorithms LLC was formed. Since then, AlgorithmicTrading.net has been providing what we consider to be robust trading systems to the general public. These automated trading systems place trades on the S&P Emini’s (ES) and Ten Year Note (TY), utilizing a quantitative approach to trading the markets.
Lead Developer & Founder of Quant Algorithms LLC
Graduated with a Bachelor of Science in Electrical Engineering back in 2001 ( computer science emphasis). I’ve worked for Fortune 500 companies as a logic design engineer including Hewlett-Packard, Intel and Qualcomm until 2013 when I decided to start my own Algorithm Development Company. My expertise in algorithm development, finite state machine coding/design and advanced mathematics has made me the perfect fit for quant/mechanical trading.
As far as trading goes, I traded on the side the entire time while doing the corporate grind, mostly losing money as my emotions whipped me in and out of trades at pretty much the exact wrong time. It wasn’t until I began doing research on quant trading that I began to realize there is a better way. I signed up with tradestation and began coding very basic algorithms and quickly started to realize the power of back-testing. The bad news was that also started the “learning phase again” quickly realizing that back-testing is only a small part of the battle. I coded over well over 300 algorithms, almost all of which did poorly when applied to live trades. A few stood out as gems and those are what we offer to our customers today. The white paper describes our design methodology which includes trading in liquid markets, back-testing, independent evaluations, large average gain per trade, etc.
My best advice to future developers? Keep your algorithm as simple as possible. The fewer the technical indicators the better (1-2 is ideal). Be honest with yourself and try to prove your algorithm wrong. Don’t get caught up in the emotions of thinking you found the holy grail, you really didn’t because it doesn’t exist. Be skeptical of your algorithms, try to find reasons why your algorithm will fail once going live, make adjustments and then let the chips fall where they may. Always remember, don’t let the perfect become the enemy of the sufficient. The biggest temptation one faces as a trading system developer is to create the perfect algorithm. This can lead you down the path of over-optimizing your algorithms and promotes an attitude of wishful thinking.
Introduction to AlgorithmicTrading.net
Listen to this episode from 23 January 2020. Anthony Crudele interviews our founder and developer on his transition from discretionary to algorithmic trader.
AlgorithmicTrading.net Third Party Reviews
This is probably one of the most exhaustive and well researched blog posts that I have made. Considering that this is a trading system, I wanted to really make sure that every detail was fully researched, and every piece of evidence was documented and investigated. For me, I really like this trading system and am personally very close to making a decision on purchasing the system and then opening an account at Fox Trading. A lot of mental horsepower went into the creation of the algos. And I have a double extra does of confidence in knowing that everyone involved at this company also has their money trading the system. Just too many positive variables to ignore this company.
My experience with Algorithmic Trading has been all positive. I began interacting with Rich in Jan 2017 to understand his services and perform my due diligence before investing my hard earned money. Over the next few months, we had several one on one conversations where Richard patiently answered all of my questions and concerns. He was very careful not to oversell or misrepresent the historical performance of his trading algorithms. He simply answered my questions and allowed me to make my decision at my own pace. By April, I had decided to move forward and purchase a license to use the Swing Trader methodology. I opened a self directed IRA with a third party custodian and activated the Swing Trader license. The first trade was placed in mid-April and I am happy to report that my account balance is up 30% after just 6 weeks of trading! Needless to say, I am very pleased with the performance. I have been actively trading on my own for the past ten years and have not been able to achieve anywhere near these results. Giving up control of my trading account was difficult to do. But so far, I think it was a good decision. Algorithmic Trading has my endorsement. They are completely above board and have an extremely well thought out approach to the markets. However, I highly recommend you do your own due diligence to make sure this is right for you before investing.
I am one of Richard’s first clients. At first I was super skeptical and asked a million questions, but Richard (the owner/developer) was extremely patient and helpful. I was a day-trader at the time, but Richard’s back-test results seemed too good to be true. Back then (Jan 2014) the algorithms were loaded on the client’s own computer, they didn’t use Fox Group like they do today. So Richard flew from Idaho to Los Angeles to install the system on my computer and provide a day of training. He had agreed beforehand that unless the backtest performance report on the algos installed on my computer matched his website performance report, he would not charge me. That was my proof that he and his system were for real. I still run the Legacy NQv.1 and v.2 packages of Breakout, Burst and Overnight Gap (from Jan 2014 and 2015) on my desktop and track them daily. Regarding 2017 live trading performance, the v.2 ONG had 19 straight winners before its first loss of 2017 on 2/23. Then it stopped triggering due to volatility and is still out. The v.2 Burst has had 10 winners out of 11 2017 trades. The Breakout is not doing as well, with 2 winners, 3 losers and 5 break-even trailing stop-outs. The NQv.2 package’s gain for 2017 on 4 contracts (not including commissions and slippage) is $27,100. thru today 3/01/17. The v.1 package is doing even better. The combined record of Burst and ONG trades thru today is 46 wins vs. only 8 losses. The 3 algo NQv.1 package’s 2017 gain on 4 contracts (not including commissions and slippage) is $44,780. Considering the $40,000 account necessary to handle the overnight margin requirements, that return would be over 100% in 2 months! My commission would be approx.. $1350. and slippage these days has been almost non-existent, so : ) I don’t think there are many clients still running these anymore, since most have upgraded to the newer systems, but I thought anyone interested should know that they still work. And FWIW, you won’t find a more honest and considerate businessman anywhere.
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Regarding Testimonials: 1) Testimonials may not be representative of the experience of others. 2) Testimonials are not necessarily indicative of future performance or success. 3) Unless Otherwise Noted, no compensation has been paid in exchange for these testimonials.
AlgorithmicTrading.net Contact Information
702 W. Idaho Street
Boise, ID 83702 USA
For sales and general inquiries:
> Email Sales: firstname.lastname@example.org
Reviews & In The Press
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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 specific individual's unique situation. AlgorithmicTrading.net, and its 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 — this includes but is not limited to back-tested reports, statements and any other marketing materials. Carefully consider this prior to purchasing our algorithms. For more information on the exemption we are claiming, please visit the NFA website: http://www.nfa.futures.org/nfa-registration/cta/index.html. If you are in need of professional advice unique to your situation, please consult with a licensed broker/CTA.
DISCLAIMER: Commodity Futures Trading Commission Futures trading has large potential rewards, but also large potential risk. You must be aware of the risks and be willing to accept them in order to invest in the futures markets. Don't trade with money you can't afford to lose. This is neither a solicitation nor an offer to Buy/Sell futures. No representation is being made that any account will or is likely to achieve profits or losses similar to those discussed on this website or on any reports. The past performance of any trading system or methodology is not necessarily indicative of future results.
Unless otherwise noted, all returns posted on this site and in our videos is considered Hypothetical Performance.
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 IN ACTUAL TRADING. FOR EXAMPLE, THE ABILITY TO WITHSTAND LOSSES OR 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.
With the exception of the statements posted from live accounts on Tradestation and/or Gain Capital, all results, graphs and claims made on this website and in any video blogs and/or newsletter emails are from the result of back-testing our algorithms during the dates indicated. These results are not from live accounts trading our algorithms. They are from hypothetical accounts which have limitations (see CFTC RULE 4.14 below and Hypothetical performance disclaimer above). Actual results do vary given that simulated results could under — or over — compensate the impact of certain market factors. Furthermore, our algorithms use back-testing to generate trade lists and reports which does have the benefit of hind-sight. While back-tested results might have spectacular returns, once slippage, commission and licensing fees are taken into account, actual returns will vary. Posted maximum draw downs are measured on a closing month to closing month basis. Furthermore, they are based on back-tested data (refer to limitations of back-testing below). Actual draw downs could exceed these levels when traded on live accounts.
CFTC RULE 4.41 - Hypothetical or simulated performance results have certain limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not been executed, the results may have under — or over — compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated 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 profit or losses similar to those shown.
Statements posted from our actual customers trading the algorithms (algos) include slippage and commission. Statements posted are not fully audited or verified and should be considered as customer testimonials. Individual results do vary. They are real statements from real people trading our algorithms on auto-pilot and as far as we know, do NOT include any discretionary trades. Tradelists posted on this site also include slippage and commission.
This strictly is for demonstration/educational purposes. AlgorithmicTrading.net does not make buy, sell or hold recommendations. Unique experiences and past performances do not guarantee future results. You should speak with your CTA or financial representative, broker dealer, or financial analyst to ensure that the software/strategy that you utilize is suitable for your investment profile before trading in a live brokerage account. All advice and/or suggestions given here are intended for running automated software in simulation mode only. Trading futures is not for everyone and does carry a high level of risk. AlgorithmicTrading.net, nor any of its principles, is NOT registered as an investment advisor. All advice given is impersonal and not tailored to any specific individual.
* Published percentage per month is based on back-tested results (see limitations on back-testing above) using the corresponding package. This includes reasonable slippage and commission. This does NOT include fees we charge for licensing the algorithms which varies based on account size. Refer to our license agreement for full risk disclosure.