A mechanical approach to determine the trend of a stock along with breakout and reversal levels.
SwingTrend
SwingTrend provides a mechanical approach to determine the stock trend, with breakout and reversal levels.
Python version: >= 3.8
- Can track trends on historical as well as real-time OHLC data.
- Use it as a trend indicator or screener.
- Lightweight and serializable. The Class state can be saved/restored. Useful for day-to-day tracking of trends.
- Timeframe agnostic - pass data from any timeframe to establish the current trend.
- Linux, Windows, and Mac. No external dependencies. 90% test coverage of core functionality.
👽 Documentation
https://bennythadikaran.github.io/SwingTrend
Installation
pip install swingtrend
Basic Usage (As of v2.0.1)
<pre><code class="lang-py">from swingtrend import Swing
Initialise with default values
swing = Swing( retracethresholdpct=5, sideways_threshold=20, minimumbarcount=40, debug=False, )swing = swing.run(sym="HDFCBANK", df.iloc[-60:])
swing.trend # UP or DOWN or None
swing.is_sideways # True or False.
swing.bars_since # Count of candles since last swing high or low.
swing.istrendstable # Is trend accurate, given the number candles supplied?
swing.leg_count # Number of swing legs, the trend has completed.
swing.sph # if trend is UP and SPH is confirmed else None
swing.spl # if trend in DOWN and SPL is confirmed else None
swing.coc # Reversal price for the current trend.
swing.high # the current highest high within a swing.
swing.low # the current lowest low within a swing.
swing.df # A reference to the dataframe passed to Swing.run()
swing.symbol # Symbol name passed to Swing.run()
Below represent datetime of the respective candles.
swing.sph_dt swing.spl_dt swing.coc_dt swing.high_dt swing.low_dtSee the documentation for more details.
Inspiration
This work was inspired by youtube channel Matt Donlevey - Photon Trading.
You can watch their video How To Understand Market Structure to understand some of the concepts.
How the class works
See simple explanation of how the program works
To use the Photon method as explained in the video, instantiate the class as Swing(retracethresholdpct=None)
With the Photon method, both major or minor pivots can result in trend continuation or reversal. (including a single bar pullback).
I prefer avoiding the minor pivots by setting a minimum threshold percent. With an 8% threshold, the pullback must retrace atleast 8% or more to be considered a level for trend reversal or continuation.
