Algorithmic Trading System Design & Implementation
In this weekly performance review video, our lead developer & founder walks us through the performance of the algorithms during the third week of October (10/17/2021 – 10/23/2021). Trading futures and options involve a substantial risk of loss and are not suitable for all investors.
AlgorithmicTrading.net is a third-party trading system developer specializing in automated trading systems, algorithmic trading strategies, trading algorithm design, and quantitative trading analysis. We offer a black-box trading system called The Phoenix algorithm that allows both retail and professional investors to take advantage of market inefficiencies by placing high-probability trades (15-20 per month) when the trading system determines there is an edge to be had.
Watch this Short Video Explaining the Products We Offer
Algorithmic Trading Systems Offered
All of our Algorithmic Trading Strategies trade the S&P 500 Emini Futures (ES) and Ten Year Note (TY). They are 100% automated trading systems that can be auto-executed by multiple NFA Registered Brokers under a Letter of Direction. Futures Trading involves a substantial risk of loss and is not appropriate for all investors. Past performance is not indicative of future performance.
THE PHOENIX
The Phoenix Algorithm has the highest average gain per month. This 100% algorithmic trading system trades the S&P Emini’s and the Ten-Year Note utilizing both swing and day-trades.
U.S. Government Required Disclaimer – Commodity Futures, Trading Commission Futures, Derivatives, and Options 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 and options markets. Don’t trade with money you can’t afford to lose. This website is neither a solicitation nor an offer to Buy/Sell futures, options, or any other assets. The past performance of any trading system or methodology is not necessarily indicative of future results.
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. Trading futures involves substantial risk of loss and is not appropriate for all investors.
Ready To Join The Automated/Algorithmic Trading Revolution?
Covering the Essentials of Automated Trading System Design
Multiple Algorithmic Trading Systems Available
Multiple Trading Algorithms Working Together
Trades During Bear & Bull Markets
Fully Automated Trading Systems
Does Algorithmic Trading Work?
Track the daily progress of our quantitative trading algorithms with the OEC broker app. You will also receive daily statements from the NFA Registered clearing firm. Want to see some statements from live accounts? Just let us know and we will be happy to provide this to you.
Multiple Quant Trading Strategies
Multiple Trading Algorithms Are Traded As Part of A Larger Algorithmic Trading System
Each algorithmic trading strategy offered has various strengths and weaknesses. Their strengths and weaknesses are identified based on three potential market states: Strong Up, Sideways & Down moving markets. The Momentum ES trading strategy can outperform in up moving markets, while the treasury note algorithm excels in downward and sideways moving markets. Checkout the following collection of videos, where each trading algorithm offered is reviewed by our lead developer. The strengths of each trading algo is reviewed along with it’s weaknesses.
Trading futures involves substantial risk and is not appropriate for all investors. Past performance is not indicative of future performance.
Multiple Types of Trading Strategies Are Used in Our Automated Trading Software
Day trades are entered & exited the same day, while swing trades will take a longer term trade based on expectations for the S&P 500 to trend higher or lower in the intermediate term.
Swing Trading Strategies
The following Swing Trading Strategies place directional swing trades on the S&P 500 Emini Futures (ES) and the Ten Year Note (TY). They are used in both of the automated trading systems we offer to take advantage of longer term trends our market prediction algorithms are expecting.
Futures Swing Trading Strategy #1: Momentum Swing Trading Algorithm
The Momentum Swing Trading Strategy places swing trades on the Emini S&P Futures, taking advantage of market conditions that suggest an intermediate-term move higher. This trading algorithm is used in three of our automated trading systems: The S&P Crusher, Pro Trader & The Swing Trader.
Futures Swing Trading Strategy #2:Ten Year Treasury Note Algorithm
The Treasury Note (TY) Trading Strategy places swing trades on the Ten Year Note (TY). Since the TY typically moves inverse to the broader markets, this strategy creates a swing trade that is similar to shorting the S&P 500. This T-Note algo has positive expectations for down-moving market conditions. This trading algorithm is used in all of our automated trading systems: The S&P Crusher, Pro Trader, Wave-Trader & The Swing Trader.
Futures Swing Trading Strategy #3: Geronimo Swing Trading Algorithm
The Geronimo Swing Trading Strategy places swing trades on the Emini S&P Futures, taking advantage of market conditions that suggest a short-term move higher. It differs from the Momentum ES algo, in that it typically gets out of the trade faster and places fewer trades (only the highest probability swing trades). This trading algorithm is used in two of our automated trading systems: The Pro Trader & The Wave Trader.
Day Trading Strategies
The following day trading strategies place day trades on the S&P 500 Emini Futures (ES). They almost always enter into trades during the first 20 minutes after the equity markets opened and will get out before the markets close. Tight stops are utilized at all times.
Futures Day Trading Strategy #1: Day Trading Short Algorithm
The Short Day Trading Strategy places day trades on the Emini S&P Futures when the market shows weakness in the morning (prefers a large gap down). This trading strategy is utilized in the S&P Crusher v2 and Pro-Trader automated trading systems.
Futures Day Trading Strategy #2: Breakout Day Trading Algorithm
The Breakout Day Trading Strategy places day trades on the Emini-S&P Futures when the market shows strength in the morning. This futures trading strategy is utilized in the S&P Crusher v2 and Pro-Trader automated trading systems.
Futures Day Trading Strategy #3: Phoenix Day Trade Algorithm
The Phoenix Day Trading Strategy places day trades on the Emini-S&P Futures when the market shows strength in the morning. This algorithm’s entry logic is similar to the Breakout Day Trading Algorithm. The difference lies in the exit logic. This algorithm will exit the day trade a bit earlier if it determines there is a quantifiable edge in doing so. The futures trading strategy is utilized in The Phoenix automated trading system.
Trading Algorithms that Actually Work?
This algorithmic trading video series is done so that our customers can see the details of each trade on a weekly basis. Watch each of the following algorithmic trading videos to see in real time, how our trading algorithms perform. Feel free to visit our AlgorithmicTrading.net Reviews & Press Releases page to see what others are saying about us.
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What Separates Algorithmic Trading From Other Technical Trading Techniques?
These days, it seems like everyone has an opinion on Technical Trading techniques. Head & Shoulders patterns, MACD Bullish Crosses, VWAP Divergences, the list goes on and on. In these video blogs, our lead design engineer analyzes a few examples of trading strategies found online. He takes their Trading Tips, codes it up and runs a simple back-test to see how effective they really are. After analyzing their initial results, he optimizes the code to see if a quantitative approach to trading can improve the initial findings. If you are new to algorithmic trading, these video blogs will be quite interesting. Our designer utilizes finite state machines to code up these basic trading tips. How does Algorithmic Trading differ from traditional technical trading? Simply put, Algorithmic Trading requires precision and gives a window into an algorithms potential based on back-testing which does have limitations.
Looking For Free Algorithmic Trading Tutorial & How To Videos?
Watch multiple educational video presentations by our lead designer on algorithmic trading to include a video covering our Quant Trading Design Methodology and an Algorithmic Trading Tutorial. These trading strategy videos provide algorithmic trading coding examples and introduce you to our approach of trading the markets using quantitative analysis. In these videos you will see many reasons why automated trading is taking off to include helping to remove your emotions from trading. Visit our Educational Trading Videos page to see a full list of educational media.
Start Using One Of Our Automated Trading Systems Today
Multiple Automated Trade Execution Options Are Available
Our trading algorithms can be auto-executed with best-efforts under a Letter of Direction (LOD) using one of the following NFA registered auto-execution brokers.
Questions?
Make sure you visit our Frequently Asked Questions page to see a list of common questions and answers. You can also click here to learn more about AlgorithmicTrading.net and it’s Lead Developer.