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AmiBroker VS socketify.py

Compare AmiBroker VS socketify.py and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

AmiBroker logo AmiBroker

Professional tool for individual investor featuring: advanced formula language for writing indicators and trading systems; comprehensive back-testing reports; filtering by sectors; alerts and more...

socketify.py logo socketify.py

Maybe the fastest web framework for Python and PyPy
  • AmiBroker Landing page
    Landing page //
    2018-11-11
  • socketify.py Landing page
    Landing page //
    2023-09-24

AmiBroker features and specs

  • Customization
    AmiBroker provides a highly customizable platform with extensive scripting capabilities through AFL (AmiBroker Formula Language), allowing users to create custom indicators, backtest systems, and automated trading strategies.
  • Speed
    The platform is optimized for speed and can handle large datasets efficiently, making it suitable for high-frequency trading and backtesting complex strategies.
  • Advanced Charting
    AmiBroker offers advanced charting features with multiple time frames, drawing tools, and a wide variety of technical indicators to analyze market trends.
  • Data Integration
    The software supports integration with multiple data sources and brokers, providing flexibility in terms of data feeds and execution of trades directly from the platform.
  • Cost-Effective
    Compared to other high-end trading platforms, AmiBroker offers a cost-effective solution with a one-time purchase fee, making it accessible for individual traders and small trading firms.

Possible disadvantages of AmiBroker

  • Learning Curve
    Due to its extensive features and customization options, there is a steep learning curve, especially for those who are new to trading platforms or scripting languages.
  • User Interface
    The user interface may seem outdated or non-intuitive compared to newer trading platforms, which can affect user experience and ease of navigation.
  • Limited Built-in Data
    AmiBroker does not come with built-in market data, requiring users to subscribe to third-party data providers for real-time or historical data, which can be an additional expense.
  • Windows-Only
    The platform is only available for Windows, limiting accessibility for users on MacOS or Linux unless they use virtualization or dual-boot solutions.
  • Support
    While AmiBroker has an active community and extensive documentation, official support can be limited, making it challenging for users to get timely assistance for specific issues.

socketify.py features and specs

  • High Performance
    Socketify.py is designed for high scalability and performance, leveraging an efficient event loop and native extensions to handle a large number of concurrent connections efficiently.
  • WebSocket Support
    The library provides built-in support for WebSockets, making it suitable for real-time applications where persistent connections between client and server are necessary.
  • Asynchronous I/O
    Socketify.py is built on top of asynchronous I/O paradigms, allowing non-blocking operations that can improve the throughput of networked applications.
  • Ease of Use
    The library offers a clean and straightforward API with examples and documentation, which lowers the barrier to entry for developers who are new to network programming in Python.
  • Python Integration
    Being a Python library, socketify.py integrates well with existing Python applications and can be included as part of larger, multi-component systems.

Possible disadvantages of socketify.py

  • Limited Adoption
    As a relatively new or niche library, socketify.py might have a smaller user base and community compared to more established frameworks like Flask or Django, which could result in fewer community resources and third-party integrations.
  • Learning Curve
    For developers who are accustomed to synchronous programming paradigms, adapting to the asynchronous programming model of socketify.py may require an initial learning investment.
  • Documentation Depth
    While there is documentation, it might not be as extensive or comprehensive as those of more mature libraries, potentially requiring more experimentation or source code reading to fully grasp advanced features.
  • Potential Stability Issues
    Being less established, there might be undiscovered bugs or stability issues in production environments compared to long-standing Python networking libraries.
  • Ecosystem Limitations
    The library might lack some of the extensive third-party plugins or tools available in more popular frameworks, which could limit its extensibility.

Analysis of socketify.py

Overall verdict

  • Socketify.py is a solid choice for developers seeking a high-performance web framework in Python, particularly for I/O-bound applications requiring speed comparable to frameworks in compiled languages, thanks to its use of uWebSockets under the hood.

Why this product is good

  • Built on uWebSockets, providing significant performance improvements over traditional Python web frameworks
  • Supports WebSockets natively, making it suitable for real-time applications
  • Lightweight and minimalistic design reduces overhead
  • Compatible with ASGI, allowing integration with existing Python async ecosystem
  • Active development and growing community support on GitHub
  • Good for building high-throughput APIs and services

Recommended for

  • Developers building real-time applications like chat apps or live notifications
  • Projects requiring high concurrency and low latency in Python
  • Teams looking to replace slower WSGI-based frameworks with something faster
  • Applications needing WebSocket support without heavy framework overhead
  • Microservices architectures where performance is critical
  • Python developers wanting an alternative to Node.js for performance-sensitive tasks

AmiBroker videos

+ Add

๐Ÿš€Amibroker : Beginner's Guide for Indian Traders

More videos:

  • Review - Introduction to Amibroker
  • Review - Amibroker Review [Standard Tools]

socketify.py videos

No socketify.py videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to AmiBroker and socketify.py)

AmiBroker

socketify.py

Finance
100 100%
Finance
0% 0
Python
0 0%
Python
100% 100
Investing
100 100%
Investing
0% 0
Web Development
0 0%
Web Development
100% 100

User comments

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Social recommendations and mentions

Based on our record, socketify.py seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

AmiBroker mentions (0)

We have not tracked any mentions of AmiBroker yet. Tracking of AmiBroker recommendations started around Mar 2021.

socketify.py mentions (2)

  • Show HN: Python framework is faster than Golang Fiber
    These "benchmarks" are useless, they're not testing anything real world except the performance of uWebsockets. There are copy errors all over the place. And then an advertisement: https://github.com/cirospaciari/socketify.py#briefcase-comme... Is this a professional framework that produces proper, real-world benchmarks and... - Source: Hacker News / over 3 years ago
  • This is how I started the development of the fastest ASGI and WSGI Server in TechEmPower Benchmarks
    After starting the project called socketify.py at https://github.com/cirospaciari/socketify.py, I got pretty good results and reviews, but many people asked if socketify.py could be used to create a WSGI and ASGI server. WSGI and ASGI have a lot of overhead, that's is why I choose not to use them in the first place, but adding an ASGI and WSGI server allows a lot of code already written to run faster! Source: over 3 years ago

What are some alternatives?

When comparing AmiBroker and socketify.py, you can also consider the following products

MetaTrader5 - World-leading multi-asset platform that allows trading Forex, Stocks, Futures and CFDs.

TradingView - The best charting tool for crypto and stocks

Protrader - Protrader is a professional multi-asset brokerage trading platform that offers trading environment on all major markets including forex, options, stocks, futures and CFDs.

Quantower - Quantower is a multi-asset, broker-neutral trading platform for analysis, manual and automated trading on various markets. Distributed under a freemium model

Calypso Platform - Calypso Platform is a comprehensive solution for trading, risk management, and regulatory compliance.

TT Platform - TT Platform is the most advanced, secure, and user-friendly trading platform in the market.

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