Simplify financial decision-making

Machinary offers a modular and customizable solution that provides advanced financial news and statistical analysis. Our platform goes beyond traditional quantitative analysis, offering users a comprehensive understanding of real-time market dynamics, event detection, and risk analysis.

 

Know the Market. Stay Ahead.

Market Insights & Analytics.

Gain access to a comprehensive retail platform with real-time updates on the stock market and critical financial metrics. Leverage advanced tools for better decision-making:

  • Overview of stock market data:Stay updated with the latest market trends and performance.
  • Monitor AI-based predictions:Access detailed company analytics.
  • Sentiment Analysis:Understand market emotions with AI-driven sentiment insights.
  • Relevance Score:Prioritize information that matters most.
  • Chatbot Integration:Get instant answers and insights through smart AI.
  • Customizable Widgets:Add or remove widgets to tailor your dashboard.
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Stay Informed. Act Strategically.

Real-Time News Portal.

Unlock actionable insights with categorized, real-time news updates tailored to your needs. Stay ahead in the market with a reliable flow of information:

  • People:Explore updates about key influencers and market leaders.
  • Public Companies:Stay informed on listed corporations and their market activities.
  • Non-Public Companies:Gain insights into the operations of private enterprises.
  • Countries:Understand regional economic shifts and geopolitical trends.
  • Commodities:Monitor pricing and trends for critical commodities like oil, gold, and more.
  • Currencies:Keep track of currency fluctuations and forex market developments.
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Modular Power. Limitless Potential.

Machinary empowered by MachinaCore

MachinaCore is a highly modular and scalable system that allows users to build custom widgets and tools tailored to their specific financial data needs, while seamlessly integrating with other MachinaLabs products, like Machinary, MachinaAI Modules and MachinaTrader.

Reaching new heights together.

Stay tuned for what’s coming next.

Exciting innovations are on the horizon! Stay tuned as we unveil new advancements designed to empower smarter decisions and greater success in the fast-paced world of finance.

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Explore tailored enterprise solutions - that make an impact.

Exciting innovations are on the horizon! Stay tuned as we unveil new advancements designed to empower smarter decisions and greater success in the fast-paced world of finance.

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Machinary offers a groundbreaking, modular, and customizable solution that provides advanced financial news and statistical analysis. Our platform goes beyond traditional quantitative analysis, offering users a comprehensive understanding of real-time market dynamics, event detection, and risk analysis.

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  1. Home
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  4. TALib Indicators
  5. Introduction

Introduction

TALib (Technical Analysis Library) Indicators can be seamlessly integrated and utilized in MachinaTrader for developing and enhancing trading strategies. Whether you prefer writing code in the built-in script editor or utilizing the visual Python nodes in the editor, MachinaTrader empowers you with the capability to leverage a wide range of TALib indicators. These indicators provide you with valuable insights and analysis tools, allowing you to make more informed trading decisions. With MachinaTrader, you have the flexibility to incorporate both standard and custom TALib indicators into your unique trading strategies, offering a powerful and adaptable environment for your trading endeavors. Please check the below sample for how to incorporate TALib indicators and a complete list of builtin indicators. Find more information about TALib here: TA-Lib – Technical Analysis Library

Example:

class Calcs:
    def __init__(self, candles):
        self.onCalculate(candles)

    def onCalculate(self, candles):
        self.IDX = len(candles.T) - 1

        # Calculate Simple Moving Averages (SMAs) based on user-defined parameters
        self.smaFast = talib.func.SMA(candles.C, _mt.getParameter(SMA_FAST))
        self.smaSlow = talib.func.SMA(candles.C, _mt.getParameter(SMA_SLOW))

        # Check for cross over and cross under events between SMAs
        self.crossOver = _mt.crossOver(self.smaFast, self.smaSlow)
        self.crossUnder = _mt.crossUnder(self.smaFast, self.smaSlow)

    def hasCrossedOver(self):
        # Return the most recent cross over event
        return self.crossOver[len(self.crossOver) - 1]

    def hasCrossedUnder(self):
        # Return the most recent cross under event
        return self.crossUnder[len(self.crossUnder) - 1]

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