An example of crypto-modified ichimoku clouds in Python / pandas / Matplotlib. This demo shows how to calculate and generate beautiful Ichimoku diagrams.
Sample Generated Image:
Link: https://t.me/kumo_trading_tech_analysis
- Learn how to use Ichimoku strategies for crypto trading
- Stay updated with automated daily Kumo Reports and analysis on promising coins
- install pipenv to manage dependencies (https://docs.pipenv.org/)
- Install python-tk
- Run
pipenv- will install all dependencies in a virtual environment
from ichimoku import *
# Load Sample Data into a dataframe
df = pd.read_csv('./sample-data/ohcl_sample.csv',index_col=0)
# Initialize with ohcl dataframe
i = Ichimoku(df)
# Generates ichimoku dataframe
ichimoku_df = i.run()
# Plot ichimoku
i.plot()
| Signal | Stocks(9a-5p) | Crypto (adj 24/7) | Double it (accepted value) | Formula |
|---|---|---|---|---|
| Tenkan (conversion): | 9 | 10 | 20 | (eg. 9-period high + 9-period low)/2)) |
| Kijun (base): | 26 | 30 | 60 | (eg. 26-period high + 26-period low)/2)) |
| Senkou span A (faster): | (Conversion Line + Base Line)/2)) | |||
| Senkou span B (slower): | 52 | 60 | Double: 120 | (eg. 52-period high + 52-period low)/2)) |
| Cloud displacement: | 26 | 30 | Double: 30 | |
| Chikou (lagging span): | 26 | 30 | Double: 30 |
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