https://github.com/skyte/relative-strength

IBD Style Relative Strength Percentile Ranking of Stocks (i.e. 0-100 Score).
https://github.com/skyte/relative-strength

relative-strength relative-strength-index stock-market stocks

Last synced: 5 days ago
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IBD Style Relative Strength Percentile Ranking of Stocks (i.e. 0-100 Score).

• Host: GitHub
• URL: https://github.com/skyte/relative-strength
• Owner: skyte
• License: apache-2.0
• Created: 2021-10-16T08:31:27.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2024-06-20T05:32:32.000Z (5 months ago)
• Last Synced: 2024-08-02T17:38:31.358Z (3 months ago)
• Topics: relative-strength, relative-strength-index, stock-market, stocks
• Language: Python
• Homepage:
• Size: 78.1 KB
• Stars: 93
• Watchers: 9
• Forks: 72
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# NOTE: This is no longer maintained. If you need it, fork it or something.

---

# relative-strength

IBD Style Relative Strength Percentile Ranking of Stocks (i.e. 0-100 Score).  

I also made a TradingView indicator, but it cannot give you the percentile ranking, it just shows you the Relative Strength: https://www.tradingview.com/script/SHE1xOMC-Relative-Strength-IBD-Style/

## Daily Generated Outputs

Stocks: https://github.com/skyte/rs-log/blob/main/output/rs_stocks.csv  

Industries: https://github.com/skyte/rs-log/blob/main/output/rs_industries.csv  

  

## Known Issues

Unfortunately the close prices loaded from the price history API are not always split adjusted. So if a stock had a split recently there is a chance the relative strength value will be wrong...

## Calculation

Yearly performance of stock (most recent quarter is weighted double) divided by yearly performance of reference index (`SPY` by default).

  

## Considered Stocks

Tickers from ftp://ftp.nasdaqtrader.com/symboldirectory/nasdaqtraded.txt disregarding ETFs and all stocks where the industry and sector information couldn't be retrieved from yahoo finance.

## How To Run

### Run EXE

1. Open the latest successful run here: https://github.com/skyte/relative-strength/actions/workflows/exe.yml

2. Download `exe-package` at the bottom (need to be logged in into github)

3. Exctract the `relative-strength` folder and enter it

   - If needed open `config.yaml` and put in your preferences 

4. Run `relative-strength.exe`

### Run Python Script

1. Open `config.yaml` and put in your preferences 

2. Install requirements: `python -m pip install -r requirements.txt`

3. Run `relative-strength.py`

#### Separate Steps

Instead of running `relative-strength.py` you can also:

1. Run `rs_data.py` to aggregate the price data

2. Run `rs_ranking.py` to calculate the relative strength rankings

### \*\*\* Output \*\*\*

- in the `output` folder you will find:

  - the list of ranked stocks: `rs_stocks.csv`

  - the list of ranked industries: `rs_industries.csv`

## Config

#### Private File

You can create a `config_private.yaml` next to `config.yaml` and overwrite some parameters like `API_KEY`. That way you don't get conflicts when pulling a new version.

#### Data Sources

Can be switched with the field `DATA_SOURCE`

##### Yahoo Finance

(Benchmark: Loads 1500 Stocks in 20m)

- Is default, no config necessary.

##### TD Ameritrade

(Benchmark: Loads 1500 Stocks in 18m)

1. Create TDAmeritrade Developer Account and App

2. Put in your `API_KEY` in `config.yaml` and change `DATA_SOURCE`.