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 --upgrade pip
pip install -U 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 --upgrade pip
pip install -e ../rndqts
Examples
Fetching from Yahoo
from rndqts import Real
print(Real("VALE3.sa").data)
"""
Fetching VALE3.SA ...
[*********************100%***********************] 1 of 1 completed
Open High Low Close Volume
Date
2020-12-17 82.771173 84.158663 82.455396 83.440994 21367800
2020-12-18 83.842888 84.570121 83.661076 84.015129 23843100
2020-12-21 82.436261 83.632377 81.125317 83.115654 31877300
2020-12-22 83.115654 83.240048 81.747298 83.192207 23157000
2020-12-23 82.799879 83.756771 82.675485 83.594101 17710200
2020-12-28 84.005561 84.761506 83.326168 83.546249 26001300
2020-12-29 84.177801 84.397882 82.780740 83.316597 19727500
2020-12-30 83.431427 83.814178 82.914705 83.680214 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)
"""
Fetching PETR4.SA ...
[*********************100%***********************] 1 of 1 completed
Fetching CSNA3.SA ...
[*********************100%***********************] 1 of 1 completed
Fetching USIM5.SA ...
[*********************100%***********************] 1 of 1 completed
Open High Low Close Volume
Date
0 99.71 105.87 99.28 104.65 12499
1 105.44 105.72 103.69 104.36 9484
2 103.58 105.33 103.31 104.65 11855
3 104.25 104.72 99.10 99.80 5155
4 98.36 98.99 97.81 98.99 6444
5 99.65 100.64 99.10 99.94 2998
6 100.43 101.34 99.62 99.88 3748
7 97.59 100.78 93.42 98.84 2410
8 99.58 100.67 96.47 97.76 1495
9 97.76 97.91 96.15 97.85 1087
10 99.29 99.85 98.66 98.66 805
11 98.12 98.41 95.27 96.29 764
12 96.75 97.59 96.54 96.95 853
13 98.14 98.21 93.27 95.50 851
14 95.05 96.15 94.91 95.96 651
15 94.51 94.58 89.68 91.43 444
16 91.43 92.96 91.29 91.35 555
17 91.81 92.07 91.09 91.81 488
18 93.59 95.77 92.71 94.87 510
19 94.72 97.32 94.43 96.96 630
20 96.50 96.70 95.67 96.30 565
21 98.56 102.95 95.44 97.31 707
22 98.35 99.30 96.96 97.88 390
23 98.16 98.59 92.45 93.53 239
24 93.66 94.09 93.08 93.94 299
25 92.80 97.65 92.73 95.36 300
26 96.04 96.21 94.72 95.66 247
27 93.86 95.22 92.37 94.64 309
28 94.12 94.85 91.24 92.95 229
29 92.38 93.21 88.42 89.13 169
30 89.27 89.54 86.88 87.21 137
31 87.38 87.61 83.80 84.49 150
32 87.32 89.52 86.36 87.87 68
33 87.62 88.09 87.19 87.65 55
34 86.72 87.96 85.90 87.14 69
35 86.94 89.12 86.42 88.72 60
36 88.60 89.15 88.19 88.33 40
37 88.15 91.93 87.92 91.17 37
38 91.60 91.74 90.56 90.73 47
39 87.79 88.76 85.63 87.24 59
40 86.63 87.83 86.47 86.96 72
41 88.29 93.05 88.23 91.27 90
42 91.48 92.03 89.24 89.64 104
43 89.89 90.34 89.42 89.86 129
44 90.36 93.21 89.66 91.49 162
45 93.24 94.75 91.91 92.48 122
46 90.72 91.58 88.65 89.50 117
47 89.85 94.52 89.44 93.85 147
48 93.23 93.75 92.31 92.96 184
49 92.50 93.26 91.68 93.01 126
50 92.36 95.63 91.72 94.81 158
51 95.33 98.18 95.05 97.14 167
52 96.66 97.42 96.38 96.66 190
53 95.94 99.03 94.91 97.73 238
54 98.34 102.73 97.46 101.92 298
55 102.64 103.35 99.13 99.99 143
"""
Synthetic (non-realistic) quotes
from rndqts import Synthetic
print(Synthetic()[:5].data)
"""
Open High Low Close Volume
Date
0 112.22 117.64 104.00 111.43 11868
1 121.24 122.02 100.54 108.78 11689
2 118.44 124.60 110.35 123.54 12208
3 129.35 141.99 127.66 136.83 11958
4 114.05 145.78 102.64 136.04 14673
"""
Saving as a CSV file
from rndqts import Real
Real("VALE3.sa").data.to_csv("/tmp/myfile.csv")
Plotting
from rndqts import Real
print((Real("VALE3.sa").data))
# Real("VALE3.sa").plot()
"""
Fetching VALE3.sa ...
[*********************100%***********************] 1 of 1 completed
"""
"""
Open High Low Close Volume
Date
2020-12-17 82.771173 84.158663 82.455396 83.440994 21367800
2020-12-18 83.842888 84.570121 83.661076 84.015129 23843100
2020-12-21 82.436261 83.632377 81.125317 83.115654 31877300
2020-12-22 83.115654 83.240048 81.747298 83.192207 23157000
2020-12-23 82.799879 83.756771 82.675485 83.594101 17710200
2020-12-28 84.005561 84.761506 83.326168 83.546249 26001300
2020-12-29 84.177801 84.397882 82.780740 83.316597 19727500
2020-12-30 83.431427 83.814178 82.914705 83.680214 30102700
"""
Features (current or planned)
-
Fetch from yahoo
-
Automatic local caching
-
Slicing
-
Plot candle sticks
-
Cacheable and identified by hash id
-
Distinct kinds of quotes
- Real
- market quotes
- Realistic
- random, based on real quotes
- Synthetic
- entirely based on Gaussian distributions from a pseudo random number generator
- good for software test
- lazy / infinite
- Holding
- combination of real quotes, without randomness
- useful for dataset augmentation with fictional tickers
- Real
-
News fetching
Release history Release notifications | RSS feed
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Hashes for rndqts-0.2105.28-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 38a047638b16e99c443fcea34fe9bdedeee03774fcf5a78f795c66ff80f29807 |
|
| MD5 | 632f3dc6d6cbb84b27d323c21dcea25d |
|
| BLAKE2b-256 | d504930f4421a26817c963648e04867e780e0583adbe6938fc28252bf2127002 |
