tradingpattern 0.0.5

Trading Pattern Scanner Identifies complex patterns like head and shoulder, wedge and many more.

TradingPatternScanner

Author: Preetam Sharma

Overview

Trading Pattern Scanner Identifies complex patterns like head and shoulder, wedge and many more.

Installation / Usage

To install use pip(still under progress):

$ pip install tradingpattern

Or clone the repo:

$ https://github.com/white07S/TradingPatternScanner.git
$ python setup.py install

TradingPatternScanner

Trading patterns:

• Head and Shoulder and inverse Head and Shoulder: These patterns indicate a potential reversal in the market, with the "head" being the highest point, and the "shoulders" being the points on either side at a slightly lower level.
• Multiple top and bottom: These patterns indicate a range-bound market, with multiple highs and lows forming a horizontal range.
• Horizontal support and resistance: These patterns indicate key levels at which the market has previously struggled to break through.
• Ascending and Descending Triangle pattern: These patterns indicate a potential breakout in the market, with the upper trendline being resistance and the lower trendline being support.
• Wedge up and down: These patterns indicate a potential reversal in the market, with the trendlines converging towards each other.
• Channel up and down: These patterns indicate a strong trend in the market, with price moving within a well-defined upper and lower trendline.
• Double top and bottom: These patterns indicate a potential reversal in the market, with the market hitting a high or low twice and then reversing.
• Trend line support and resistance: These patterns indicate key levels at which the market is likely to experience support or resistance based on historical price action.
• Finding Higher-High and Lower-Low

Designed for fast performance:

• Uses only Pandas as Numpy, no other external libraries: This approach helps to keep the library lightweight and fast.
• Uses the concept of vectorization: This approach helps to improve performance by processing large amounts of data at once, rather than iterating over each individual data point.

New and Unique:

• No other python library exists for such task currently: This library is new and unique, as it aims to provide an all-in-one solution for identifying various trading patterns.

Lets check if its works for simplicity I used finviz and checked the pattern with the respective stock.

• Head and Shoulder:

We can see that it finds out that we have inverse head and shoulder pattern in the stock on 9th Januray 2023 in 1 day interval. Lets match with Finviz.

• We can see that Finviz also detects on 9th Januray 2023 in 1 day interval.
• You can adjust the window size to your liking. A smaller window size will be more sensitive to detecting patterns, but it will also increase the chances of false positives. A larger window size will be less sensitive to detecting patterns, but it will also decrease the chances of false positives.

Future add-ons:

• Request your favourite pattern to get added in the list: The library is open for suggestions for adding new patterns.
• Work on visualization and plotting: The library can be extended to include visualization and plotting features to help users better understand the patterns identified.
• Add unit testing: The library can be extended to include unit testing to ensure that the code is working as expected and to catch any bugs early on.