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Fundamental API Live (Delayed) API EOD Historical API Options (US Stocks) API Intraday API Real-Time (Websockets) API Financial News API Delisted Data API More APIs
Solutions
New & Popular APIs
Fundamental Data APIs Historical End-of-Day API US Stock Options Data API Real-time Prices API Financial Events & News API Indices Historical Constituents API 40 000 Stock Market Logos API Forex Data APIs More APIs
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Coding language: JavaScript Python R Language
Ready-to-go solution: EODHD Python Financial Library EODHD R Financial Library Excel Add-In Google Sheets Add-In Power Bi Connector Python Financial APIs SDK Windows Downloader
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Financial APIs manuals: Economic Events End-Of-Day Exchanges Data Financial News Intraday Live (Delayed 15 Mins) News&Tweets Sentiment Real-time Splits & Dividends Stock Market Screener Stocks fundamentals Technical Indicators Ticks

Home/Academy/Technical Indicators

Financial APIs manuals: Technical Indicators

  • Advanced Stock Options Strategies
  • Beginner Stock Options Strategies
  • Backtesting Technical Analysis Strategies with Excel(SMA, RSI, MACD)
  • Portfolio Risk Management with Excel
  • Financial Data Scraping Using Python
  • Practical Guide to Automated Detection Trading Patterns with Python
  • Advanced Trading Tactics: Leveraging VWAP, TWAP, and PoV for Maximum Gain with Python
  • Maximising Profits Trading with Moving Average Crossovers
  • How to Start Using EODHD Google Sheets Add-in
  • How to Use DMI and ADX of the Technical Indicators API with Python
  • How to Trade using the Fibonacci Time Zones with Python
  • How to Use Linear Regression Slope with Python
  • How to Use SMA, WMA and EMA on Technical Indicators API with Python
  • How to use the Split Adjusted Function of the Technical Indicators API with Python
  • How to use Average Trading Volume and Average Trading Volume by Price on Technical Indicator API with Python
  • Algorithmic Trading with Relative Strength Index in Python
  • A Step-By-Step Guide to Implementing the SuperTrend Indicator in Python
  • Algorithmic Trading with Williams %R in Python
  • Algorithmic Trading with the Keltner Channel in Python
  • Algorithmic Trading with the Know Sure Thing Indicator in Python
  • Backtesting Trading Strategies using Python Pandas
  • S&P 500 – SMA200 Trading Strategy
  • Coding the True Strength Index and Backtesting a Trading Strategy in Python
  • The Coppock Curve — Coding and Backtesting a Trading Strategy in Python
  • Implementing the Relative Vigor Index and Backtesting a Trading Strategy with Python
  • Algorithmic Trading with the Disparity Index in Python
  • Does Combining ADX and RSI Create a Better Profitable Trading Strategy?
  • Using Python to Create an Innovative Trading Strategy and Achieve Better Results
  • Increasing Stock Returns by Combining Williams %R and MACD in Python
  • Stock Price Prediction with ChatGPT and EODHD
  • Trading Stocks using Bollinger Bands, Keltner Channel, and RSI in Python
  • Stocks Market Technical Analysis with EODHD APIs Python Financial Library
  • Filtering and visualizing the Stocks Data Analysis results in Python
  • Backtesting trading strategies with JavaScript
  • I Tested a Machine Learning Model’s Performance in the Stock Market
  • I Tried Using Deep Learning to Predict the Stock Market
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EODHD.COM would like to remind you that our service DOES NOT provide any financial services. EODHD.COM provides only data APIs, all data contained in this website and via API is not necessarily real-time nor accurate. All CFDs (stocks, indices, mutual funds, ETFs), and Forex are not provided by exchanges but rather by market makers, and so prices may not be accurate and may differ from the actual market price, meaning prices are indicative and not appropriate for trading purposes. We are not using exchanges data feeds for the pricing data, we are using OTC, peer to peer trades and trading platforms over 100+ sources, we are aggregating our data feeds via VWAP method. Therefore EOD Historical Data doesn’t bear any responsibility for any trading losses you might incur as a result of using this data. EOD Historical Data or anyone involved with EOD Historical Data will not accept any liability for loss or damage as a result of reliance on the information including data, quotes, charts and buy/sell signals contained within this website. Please be fully informed regarding the risks and costs associated with trading the financial markets, it is one of the riskiest investment forms possible. EOD Historical Data does not give any warranties (including, without limitation, as to merchantability or fitness for a particular purpose or use). Without limitation to this clause, EOD Historical Data does not warrant that access to the Website will not expose the User to viruses or other harmful items and no assurance can be given that the Website or any linked website will not harm or cause loss to the User, or the User’s computer or network.

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