Trend lines generator
Usage example:
#! pip install trend-lines-generator
import requests
import mplfinance as mpf
from pandas import DataFrame, to_datetime
from trend_lines import generate_trend_lines, Side
def main():
columns = [
("ts", "int"),
("volume_quote", "float64"),
("open", "float64"),
("high", "float64"),
("low", "float64"),
("close", "float64"),
]
url = "https://api.gateio.ws/api/v4/spot/candlesticks?currency_pair=MOVR_USDT&interval=1h&limit=100"
response = requests.get(url)
rows = response.json()
df = (
DataFrame([r[: len(columns)] for r in rows], columns=[i[0] for i in columns])
.astype(dict(columns))
.set_index("ts")
)
df.index = to_datetime(df.index, unit="s")
lines = generate_trend_lines(low_series=df["low"], high_series=df["high"])
x1 = df.index[0]
x2 = df.index[-1]
mpf.plot(
df,
type="candle",
tight_layout=True,
alines={
"alines": [((x1, line.get_y(x1)), (x2, line.get_y(x2))) for line in lines],
"colors": ["g" if line.side == Side.LOW else "r" for line in lines],
},
)
if __name__ == "__main__":
main()
For each time in the serie:
Metadata
Release files for trend-lines-generator 1.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| trend_lines_generator-1.0.3.tar.gz | 6.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| trend_lines_generator-1.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 15.5 kB
Release files / trend_lines_generator-1.0.3.tar.gz
| Download URL | trend_lines_generator-1.0.3.tar.gz |
|---|---|
| Size | 6.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
8f394fe47d5427d2dc8524e21602bf07f64460c45e9e4f95c52a75fb0460ae92
|
|
BLAKE2b-256 checksum How to use checksums |
4d2f6941e52853517f788c9a880259261bf947c7be0cd36f8601c45296ddeca0
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.7.1 CPython/3.11.7 Darwin/23.3.0
|
Release files / trend_lines_generator-1.0.3-py3-none-any.whl
| Download URL | trend_lines_generator-1.0.3-py3-none-any.whl |
|---|---|
| Size | 8.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
529d0fe449e0173cc90a538e0375db4b331c585afd455acc112436ceede94734
|
|
BLAKE2b-256 checksum How to use checksums |
53cd1b06653a7d0d0a8e2cf63754ff19afd4be63125595bfa804d09e9af4c9dc
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.7.1 CPython/3.11.7 Darwin/23.3.0
|
Security for trend-lines-generator 1.0.3
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.