TrendSpider VS python xlrd

• Automated Technical Analysis
  TrendSpider provides automated technical analysis tools that can save time for traders by automatically identifying trends, patterns, and technical indicators in charts.
• Backtesting Capabilities
  Users can backtest trading strategies to see how they would have performed in the past, allowing for more data-driven decision-making.
• Multi-Timeframe Analysis
  The platform allows users to conduct analysis across multiple timeframes on a single chart, offering a more comprehensive view of the market.
• Dynamic Alerts
  TrendSpider offers dynamic alerts that can be set on a variety of conditions, such as trendline breaks and indicator crossovers, keeping traders informed without constant monitoring.
• Customizable Indicators
  There is a wide array of customizable technical indicators, which gives traders the ability to tailor their analysis according to specific preferences or strategies.

Possible disadvantages

• Learning Curve
  Due to the platform's extensive features and tools, new users may face a steep learning curve to fully utilize all functionalities.
• Pricing
  TrendSpider is a premium tool, and its cost might be prohibitive for casual traders or those with a limited budget.
• Complexity for Beginners
  While powerful, the complexity of the platform can be overwhelming for novice traders who may prefer simpler solutions.
• Internet Dependence
  Being a web-based platform, TrendSpider requires a reliable internet connection for smooth operation, which may be a drawback in areas with poor connectivity.

• Simplicity
  xlrd provides a straightforward and easy-to-use API for reading Excel files, making it accessible for beginners and quick implementations.
• Widely Used
  xlrd has been a popular choice for handling Excel files in Python, which means there is a lot of available documentation and community support.
• Efficient Reading
  It is optimized for reading data from Excel files without loading entire data into memory, which is beneficial for handling large files.

Possible disadvantages

• No Write Support
  xlrd is designed solely for reading, and it does not support writing or modifying Excel files.
• Limited to Older Excel Formats
  With version 2.0 and above, xlrd only supports the older .xls Excel file format and does not support .xlsx files.
• Deprecated Features
  Due to changes in dependencies and updates to Excel formats, some features in xlrd have become deprecated or removed, which can limit its functionality.

TrendSpider Review: Advanced Technical Analysis Platform

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• Ownership Section in Financial Analysis

  Corrected sentence: Every data costs money, but I believe that public data/information must be accurate and visually appealing. Among so many competitions, websites like simply.ws , fastgraph.com , and trendspider.com they must provide... Source: over 3 years ago

• Skate where the puck is going, Fidelity!

  If the mobile app revamp is any suggestion of where Fidelity intends to go, I’d like to suggest they acquire TrendSpider, the small trading platform. Source: almost 4 years ago

• API or library for technical indicatoriesthat permits commercial use?

  As for alternatives, I looked a bit into this but I haven't actually used it. Definitely recommend checking out their videos for a while first (they have a youtube channel). https://trendspider.com. Source: about 4 years ago

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• I need to read multiple excel files, extract a column from each and compose a new file

  So to get this out of the way first, xlrd has less features than openpyxl and in addition only works with the old '.xls' format, not the newer '.xlsx' format. Even on the xlrd's Github repo it says: 'Please use openpyxl where you can... '. Source: over 4 years ago

• Sending Bulk SMS using Africas Talking, Python and Excel

  There are few alternative libraries for reading and writing excel files: Pandas, Xlrd , openpyxl among others. In the end I settled for openpyxl as I had the most experience Using it and it had support for .xlsx files. - Source: dev.to / over 5 years ago