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Strategy Development Guide

Strategy Development Guide

6 min read

Introducing Phoenix: Your Gateway to Algorithmic Trading

Phoenix is your ultimate companion for crafting and executing trading strategies with the precision of a seasoned professional. Designed for both experienced traders and newcomers, this platform offers a range of powerful tools that empower you to make well-informed decisions and trade confidently in dynamic financial markets.

When it comes to strategy development, Phoenix lets you dive into coding, backtesting, and deploying your trading strategies with remarkable ease. With an intuitive interface, you gain the ability to precisely set entry and exit points, handle multiple instruments, and take actions based on informed insights.

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What sets Phoenix apart is its adaptable strategy format, suitable for various trading styles. Whether you're into backtesting, paper trading, or live trading, the same strategy code works for all three, making the experience straightforward.

The library covers all scenarios (backtesting, paper trading, and live trading) during strategy execution or generating analytics. This unified approach ensures seamless transitions between these modes, eliminating the need for complex adjustments. Additionally, it simplifies the creation of progress logs, helping you track your journey and anticipate completion times. For real-time updates, live logs are available too, offering transparency and control over your trading endeavours.

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Phoenix's strength lies in its seamless integration with real-time market data sources, historical data, and trading platforms. Its adaptable nature enables connection with various data providers and broker APIs, ensuring access to the information you need for well-informed trading decisions.

Powerful Stats & Visual Analytics

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In the pursuit of successful trading, Phoenix equips you with advanced visual tools for strategy analytics. These tools provide a deeper understanding of your strategies' performance, helping you manage risks and fine-tune your plans for optimal success. Visualisations facilitate data-driven decision-making, giving you clearer insights into the intricacies of your trading activities.

Multiple Platforms to use Phoenix

To support our diverse community of users, we have the options of two dynamic platforms for our users to use Phoenix - pyalgotrading and Phoenix Web

Explore our Python Package: Pyalgotrading

Dive into the amazing Features of our Web-App: Phoenix Web

Join the Community

AlgoBulls is more than just a platform; it's a community. Connect, learn, and collaborate with traders and developers. Code your strategies or explore ours – AlgoBulls is where innovation meets trading expertise.

By becoming part of the Phoenix community, you tap into a rich network of traders and developers. This community serves as a platform for collaboration, offering guidance, valuable insights, and collective refinement of trading strategies. Diverse perspectives help you approach trading challenges from multiple angles, fostering growth and improvement.

Join us in this journey as AlgoBulls revolutionises algorithmic trading!

In essence, Phoenix is more than a product; it's your comprehensive guide to mastering algorithmic trading. With its user-friendly interface, diverse functionalities, and seamless integration, it's a valuable asset for traders of all levels. By simplifying strategy crafting, integration, execution, and analysis, Phoenix empowers you to navigate the trading world with confidence and precision.

Open Source Strategy Library

We maintain an open source GitHub repository, pyalgostrategypool containing fully functional algorithmic trading strategies. These strategies can be used for Backtesting, Paper Trading, or Live Trading across various brokers and exchanges. The same code works in all trading modes.

Tip

Keep an eye on our GitHub repo

  • Our team periodically updates the library to add more strategy Python codes

For those new to algorithmic trading or Phoenix, exploring included example strategies is an excellent starting point. These strategies are pre-built scenarios showcasing different trading strategies and concepts. By studying and experimenting with these examples, you'll gain a deeper grasp of how Phoenix operates and how strategies are constructed.

Here's what you can do with the example strategies:

  • Analyse Structure: Study code structure, including strategy definition, condition setting, and action execution.

  • Modify and Experiment: Once comfortable with examples, customise them to your preferences. Adjust parameters, conditions, and actions to observe their impact on trading outcomes.

  • Learn Strategies: Each example represents a different trading approach, like trend-following or mean-reversion. Studying these examples introduces you to various trading strategies and their underlying principles.

Remember, these example strategies lay the foundation for your learning journey. As you grow more familiar with the library, you can create and customise your own strategies based on your insights and preferences.

To conclude, the installation process readies you to use Phoenix, while the documentation and example strategies empower you to explore the library's capabilities and apply them to real trading situations. Whether you're a beginner or a seasoned trader...

Limitations of Phoenix

In the exciting world of algorithmic trading, Phoenix offers numerous benefits and considerations for traders and developers. Let's also acknowledge its limitations to help you make an informed decision.

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  1. Python Speed Limitations: While versatile, Python isn't the fastest language for computation. This may pose challenges for complex strategies requiring extensive calculations. Our team is actively transitioning a major part of the codebase to Cython to enhance speed while retaining Python's simplicity. We're also exploring options like GPUs for the future.

  2. Cloud Cold-Start Speed Limitations: Each strategy runs on a dedicated virtual server in the cloud. While this ensures secure execution with dedicated resources, there's a short delay as the cloud fetches the resource before strategy execution begins. This minor delay is part of our ongoing optimisation efforts.

Note

Our team is working round the clock to make these limitations a thing of the past.

References

To unleash Phoenix's full potential, dive into its comprehensive documentation. This roadmap offers detailed insights into the product's features, functionalities, and capabilities. It's your go-to resource for harnessing the power of Phoenix effectively. The documentation includes:

  • Code Examples: Real code snippets showcasing how to implement specific strategies, functions, and techniques using Phoenix.
  • Python Cookbook for Algorithmic Trading: A Python Cookbook for Algorithmic Trading, explaining in-depth about strategy creation and execution from scratch using Python. Explore the technical content of the book on GitHub.

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Trading in financial products involves significant risk and may not be suitable for all investors. The use of our services, including algorithmic trading strategies, Phoenix and Odyssey (Algo Marketplace), carries the risk of substantial losses, potentially exceeding your deposited funds. It is crucial to fully understand these risks before engaging in trading activities.

AlgoBulls (AlgoBulls Technologies Private Limited) does not guarantee the accuracy or completeness of any information provided on our platform, including third-party content. Such information should not be relied upon without thorough independent investigation by the investor. Investments in securities and equity-related instruments are subject to various market risks, which can be influenced by specific security factors, broader market conditions, and economic, political, and global developments.

Past performance of any strategy, model, or advice provided by AlgoBulls does not guarantee future results. Actual returns may vary significantly due to various factors, including but not limited to, impact costs, expenses, entry and exit timings, additional flows or redemptions, client-specific mandates, and unique portfolio construction characteristics. There is no assurance that the objectives of any strategy, model, or advice will be achieved.

AlgoBulls, its partners, officers, and employees do not guarantee any specific return on investments made based on the strategies or advice provided. The value of investments can fluctuate, influenced by market forces and conditions. AlgoBulls and its associates are not responsible for any losses or shortfalls arising from market conditions.

Investors are encouraged to thoroughly read and understand the terms and conditions outlined in the relevant advisory agreement before subscribing to any services. AlgoBulls and its associates/employees shall not be held liable for any risks or losses associated with the strategies, models, or advice provided. Trading in securities is subject to market risks, and AlgoBulls makes no representation or guarantee that the objectives of any model, strategy, or advice offered will be achieved in the future.

Risk Disclosure: Futures and forex trading contains substantial risk and is not for every investor. An investor could potentially lose all or more than the initial investment. Risk capital is money that can be lost without jeopardising ones’ financial security or lifestyle. Only risk capital should be used for trading and only those with sufficient risk capital should consider trading. Past performance is not necessarily indicative of future results.

Hypothetical Performance Disclosure: 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.

Testimonial Disclosure: Testimonials appearing on this website may not be representative of other clients or customers and is not a guarantee of future performance or success.

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