Random stock quotes generator based on real data distribution
Project description
rndqts
Random stock market quotes
Installation
as a standalone lib.
# Set up a virtualenv.
python3 -m venv venv
source venv/bin/activate
# Install from PyPI...
pip install rndqts
# ...or, install from updated source code.
pip install git+https://github.com/davips/rndqts
as an editable lib inside your project.
cd your-project
source venv/bin/activate
git clone https://github.com/davips/rndqts ../rndqts
pip install -e ../rndqts
Examples
Fetching from Yahoo
from rndqts import Real
print(Real("VALE3.sa").data)
"""
Open High Low Close Volume
Date
2020-12-01 79.830002 81.500000 79.250000 81.250000 61441200
2020-12-02 80.900002 81.250000 77.309998 79.839996 53703300
2020-12-03 81.000000 81.050003 78.610001 78.959999 35158600
2020-12-04 80.099998 82.680000 80.099998 82.269997 38441000
2020-12-07 82.419998 82.989998 81.669998 82.949997 27398500
2020-12-08 82.970001 83.300003 81.660004 82.900002 28598800
2020-12-09 83.099998 83.830002 82.220001 82.699997 26938500
2020-12-10 83.650002 85.220001 83.199997 85.000000 41230700
2020-12-11 84.620003 85.279999 84.400002 84.760002 17825100
2020-12-14 85.199997 85.220001 82.949997 83.550003 20931700
2020-12-15 83.550003 85.379997 83.550003 84.500000 18762800
2020-12-16 84.900002 86.230003 84.360001 86.220001 23038300
2020-12-17 86.500000 87.949997 86.169998 87.199997 21367800
2020-12-18 87.620003 88.349998 87.430000 88.190002 13534400
2020-12-21 86.150002 87.400002 84.779999 86.860001 31877300
2020-12-22 86.860001 86.989998 85.430000 86.940002 23157000
2020-12-23 86.529999 87.529999 86.400002 87.360001 17710200
2020-12-28 87.790001 88.580002 87.080002 87.309998 26001300
2020-12-29 87.970001 88.199997 86.510002 87.070000 19727500
2020-12-30 87.190002 87.589996 86.650002 87.449997 30102700
"""
Random stock quotes
from rndqts import Realistic
from rndqts import Real
# Real quotes to fetch from Yahoo.
r1 = Real("PETR4.sa")
r2 = Real("CSNA3.sa")
r3 = Real("VALE3.sa")
r4 = Real("USIM5.sa")
# Generating random quotes.
print(Realistic([r1, r2, r3, r4]).data)
"""
Open High Low Close Volume
Date
0 99.00 99.91 98.32 99.18 12499
1 112.18 121.43 112.18 109.59 15623
2 111.38 114.11 107.45 111.46 11805
3 110.42 111.39 109.03 110.30 10416
4 111.11 111.40 110.25 110.61 13019
... ... ... ... ... ...
147 92.82 94.06 92.82 92.82 5
148 93.67 96.21 93.65 94.16 5
149 92.54 96.34 91.04 93.43 7
150 97.06 101.07 95.33 96.71 7
151 100.05 107.92 100.05 100.05 9
[152 rows x 5 columns]
"""
Saving as a CSV file
from rndqts import Real
Real("VALE3.sa").data.to_csv("/tmp/myfile.csv")
Plotting
from rndqts import Real
Real("VALE3.sa").plot()
"""
Fetching VALE3.sa ...
[*********************100%***********************] 1 of 1 completed
"""
Features / TODO
-
Fetch from yahoo
-
Automatic local caching
-
Slicing
-
Plot candle sticks
-
Realistic random quotes
- Ticker 'pseudo' generates (not so realistic) data without real quotes dependence (good for tests)
-
Distinct kinds of quotes: Real, Realistic random, Synthetic Random
-
Cacheable and identified by hash of args
-
Real (market quotes)
-
Realistic (realistic random quotes, .i.e, it is based on real quotes)
-
Synthetic (quotes based interily on Gaussian distributions from pseudo random number generator)
- Lazy/Infinite
-
-
News fetching
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
rndqts-0.2101.20.tar.gz
(12.1 kB
view hashes)
Built Distribution
rndqts-0.2101.20-py3-none-any.whl
(29.1 kB
view hashes)
Close
Hashes for rndqts-0.2101.20-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3da4f76d145203495c212fa56ec30d98d02026ad14dc3dfec3e4a9122aa537d5 |
|
MD5 | 787a36f0f1b81d5e1fa5e9d0744e2d0d |
|
BLAKE2b-256 | 9964410f387ba620f77250828569e084a4e672d367abc038d4793a724bddc977 |