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#17 little typo
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@Tim55667757
Tim55667757 committed Jan 3, 2023
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24 changes: 10 additions & 14 deletions README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -98,7 +98,7 @@ Output:
usage: python PriceGenerator.py [some options] [one or more commands]
Forex and stocks price generator. Generates chain of candlesticks with
predefined statistical parameters, return pandas dataframe or saving as .csv-
predefined statistical parameters, return Pandas DataFrame or saving as .csv-
file with OHLCV-candlestick in every strings. See examples:
https://tim55667757.github.io/PriceGenerator
Expand Down Expand Up @@ -161,11 +161,11 @@ optional arguments:
level, e.g., 10 = DEBUG, 20 = INFO, 30 = WARNING, 40 =
ERROR, 50 = CRITICAL.
--load-from LOAD_FROM
Command: Load .cvs-file to Pandas dataframe. You can
Command: Load .cvs-file to Pandas DataFrame. You can
draw chart in additional with --render-bokeh key.
--generate Command: Generates chain of candlesticks with
predefined statistical parameters and save stock
history as pandas dataframe or .csv-file if --save-to
history as Pandas DataFrame or .csv-file if --save-to
key is defined. You can draw chart in additional with
--render-bokeh key.
--save-to SAVE_TO Command: Save generated or loaded dataframe to .csv-
Expand Down Expand Up @@ -209,21 +209,19 @@ PriceGenerator.py L:377 DEBUG [2021-01-31 17:52:49,955] - Init close (1st o
PriceGenerator.py L:378 DEBUG [2021-01-31 17:52:49,955] - Maximum of volume of one candle: 42340
PriceGenerator.py L:379 DEBUG [2021-01-31 17:52:49,955] - Probability that next candle is up: 50.0%
PriceGenerator.py L:380 DEBUG [2021-01-31 17:52:49,955] - Statistical outliers probability: 3.0%
PriceGenerator.py L:397 INFO [2021-01-31 17:52:49,958] Showing last 5 rows as pandas dataframe:
PriceGenerator.py L:397 INFO [2021-01-31 17:52:49,958] Showing last 5 rows as Pandas DataFrame:
PriceGenerator.py L:399 INFO [2021-01-31 17:52:49,963] datetime open high low close volume
PriceGenerator.py L:399 INFO [2021-01-31 17:52:49,963] 95 2021-02-03 11:00:00+03:00 76.82 78.43 76.21 78.13 33652
PriceGenerator.py L:399 INFO [2021-01-31 17:52:49,963] 96 2021-02-03 12:00:00+03:00 78.13 78.37 78.12 78.36 9347
PriceGenerator.py L:399 INFO [2021-01-31 17:52:49,963] 97 2021-02-03 13:00:00+03:00 78.36 78.40 78.05 78.07 27250
PriceGenerator.py L:399 INFO [2021-01-31 17:52:49,963] 98 2021-02-03 14:00:00+03:00 78.07 78.61 75.72 76.42 22979
PriceGenerator.py L:399 INFO [2021-01-31 17:52:49,963] 99 2021-02-03 15:00:00+03:00 76.42 77.37 76.25 77.16 30845
PriceGenerator.py L:173 INFO [2021-01-31 17:52:49,963] Saving [100] rows of pandas dataframe with columns: ['date', 'time', 'open', 'high', 'low', 'close', 'volume']...
PriceGenerator.py L:173 INFO [2021-01-31 17:52:49,963] Saving [100] rows of Pandas DataFrame with columns: ['date', 'time', 'open', 'high', 'low', 'close', 'volume']...
PriceGenerator.py L:174 DEBUG [2021-01-31 17:52:49,963] Delimeter: ,
PriceGenerator.py L:181 INFO [2021-01-31 17:52:49,976] Pandas dataframe saved to .csv-file [./test.csv]
PriceGenerator.py L:181 INFO [2021-01-31 17:52:49,976] Pandas DataFrame saved to .csv-file [./test.csv]
PriceGenerator.py L:645 DEBUG [2021-01-31 17:52:49,976] All PriceGenerator operations are finished success (summary code is 0).
PriceGenerator.py L:650 DEBUG [2021-01-31 17:52:49,976] PriceGenerator work duration: 0:00:00.022938
PriceGenerator.py L:651 DEBUG [2021-01-31 17:52:49,976] PriceGenerator work finished: 2021-01-31 17:52:49
Process finished with exit code 0
```

Also next to it will be saved the file `test.csv`, an example of which can be found here: [./media/test.csv](./media/test.csv).
Expand All @@ -245,9 +243,9 @@ PriceGenerator.py L:399 INFO [2021-01-31 18:00:31,719] 96 2021-02-03 12:00
PriceGenerator.py L:399 INFO [2021-01-31 18:00:31,719] 97 2021-02-03 13:00:00+03:00 78.36 78.40 78.05 78.07 27250
PriceGenerator.py L:399 INFO [2021-01-31 18:00:31,719] 98 2021-02-03 14:00:00+03:00 78.07 78.61 75.72 76.42 22979
PriceGenerator.py L:399 INFO [2021-01-31 18:00:31,719] 99 2021-02-03 15:00:00+03:00 76.42 77.37 76.25 77.16 30845
PriceGenerator.py L:173 INFO [2021-01-31 18:00:31,719] Saving [100] rows of pandas dataframe with columns: ['date', 'time', 'open', 'high', 'low', 'close', 'volume']...
PriceGenerator.py L:181 INFO [2021-01-31 18:00:31,731] Pandas dataframe saved to .csv-file [./test.csv]
PriceGenerator.py L:410 INFO [2021-01-31 18:00:31,731] Rendering pandas dataframe as Bokeh chart...
PriceGenerator.py L:173 INFO [2021-01-31 18:00:31,719] Saving [100] rows of Pandas DataFrame with columns: ['date', 'time', 'open', 'high', 'low', 'close', 'volume']...
PriceGenerator.py L:181 INFO [2021-01-31 18:00:31,731] Pandas DataFrame saved to .csv-file [./test.csv]
PriceGenerator.py L:410 INFO [2021-01-31 18:00:31,731] Rendering Pandas DataFrame as Bokeh chart...
PriceGenerator.py L:300 INFO [2021-01-31 18:00:31,740] Some statistical info:
## Summary
Expand Down Expand Up @@ -280,9 +278,7 @@ PriceGenerator.py L:300 INFO [2021-01-31 18:00:31,740] Some statistical in
| - 80 percentile: | ≤ 2.2
| - 50 percentile: | ≤ 1.15
| Cumulative sum of volumes: | 1777314
PriceGenerator.py L:563 INFO [2021-01-31 18:00:32,290] Pandas dataframe rendered as html-file [./index.html]
Process finished with exit code 0
PriceGenerator.py L:563 INFO [2021-01-31 18:00:32,290] Pandas DataFrame rendered as html-file [./index.html]
```

After running the command above, you will get three files:
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24 changes: 10 additions & 14 deletions README_RU.md
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Original file line number Diff line number Diff line change
Expand Up @@ -98,7 +98,7 @@ pricegenerator --help
Запуск: python PriceGenerator.py [параметры] [одна или несколько команд]
Генератор биржевых цен. Генерирует цепочку японских свечей с заранее предопределёнными
параметрами, возвращает pandas dataframe или сохраняет цены как .csv-файл
параметрами, возвращает Pandas DataFrame или сохраняет цены как .csv-файл
в формате свечей OHLCV в каждой строке. Смотрите примеры здесь:
https://tim55667757.github.io/PriceGenerator
Expand Down Expand Up @@ -160,11 +160,11 @@ https://tim55667757.github.io/PriceGenerator
например, 10 = DEBUG, 20 = INFO, 30 = WARNING,
40 = ERROR, 50 = CRITICAL.
--load-from LOAD_FROM
Команда: загрузить .cvs-файл в Pandas dataframe. Также вы
Команда: загрузить .cvs-файл в Pandas DataFrame. Также вы
можете нарисовать график цен, указав ключ --render-bokeh.
--generate Команда: сгенерировать цепочку свечей с предопределёнными
статистическими параметрами и сохранить историю цен
как pandas dataframe или .csv-файл, если ключ --save-to
как Pandas DataFrame или .csv-файл, если ключ --save-to
будет указан. Также вы можете нарисовать график цен,
указав ключ --render-bokeh.
--save-to SAVE_TO Команда: сохранить сгенерированные или загруженные цены
Expand Down Expand Up @@ -208,21 +208,19 @@ PriceGenerator.py L:377 DEBUG [2021-01-31 17:52:49,955] - Init close (1st o
PriceGenerator.py L:378 DEBUG [2021-01-31 17:52:49,955] - Maximum of volume of one candle: 42340
PriceGenerator.py L:379 DEBUG [2021-01-31 17:52:49,955] - Probability that next candle is up: 50.0%
PriceGenerator.py L:380 DEBUG [2021-01-31 17:52:49,955] - Statistical outliers probability: 3.0%
PriceGenerator.py L:397 INFO [2021-01-31 17:52:49,958] Showing last 5 rows as pandas dataframe:
PriceGenerator.py L:397 INFO [2021-01-31 17:52:49,958] Showing last 5 rows as Pandas DataFrame:
PriceGenerator.py L:399 INFO [2021-01-31 17:52:49,963] datetime open high low close volume
PriceGenerator.py L:399 INFO [2021-01-31 17:52:49,963] 95 2021-02-03 11:00:00+03:00 76.82 78.43 76.21 78.13 33652
PriceGenerator.py L:399 INFO [2021-01-31 17:52:49,963] 96 2021-02-03 12:00:00+03:00 78.13 78.37 78.12 78.36 9347
PriceGenerator.py L:399 INFO [2021-01-31 17:52:49,963] 97 2021-02-03 13:00:00+03:00 78.36 78.40 78.05 78.07 27250
PriceGenerator.py L:399 INFO [2021-01-31 17:52:49,963] 98 2021-02-03 14:00:00+03:00 78.07 78.61 75.72 76.42 22979
PriceGenerator.py L:399 INFO [2021-01-31 17:52:49,963] 99 2021-02-03 15:00:00+03:00 76.42 77.37 76.25 77.16 30845
PriceGenerator.py L:173 INFO [2021-01-31 17:52:49,963] Saving [100] rows of pandas dataframe with columns: ['date', 'time', 'open', 'high', 'low', 'close', 'volume']...
PriceGenerator.py L:173 INFO [2021-01-31 17:52:49,963] Saving [100] rows of Pandas DataFrame with columns: ['date', 'time', 'open', 'high', 'low', 'close', 'volume']...
PriceGenerator.py L:174 DEBUG [2021-01-31 17:52:49,963] Delimeter: ,
PriceGenerator.py L:181 INFO [2021-01-31 17:52:49,976] Pandas dataframe saved to .csv-file [./test.csv]
PriceGenerator.py L:181 INFO [2021-01-31 17:52:49,976] Pandas DataFrame saved to .csv-file [./test.csv]
PriceGenerator.py L:645 DEBUG [2021-01-31 17:52:49,976] All PriceGenerator operations are finished success (summary code is 0).
PriceGenerator.py L:650 DEBUG [2021-01-31 17:52:49,976] PriceGenerator work duration: 0:00:00.022938
PriceGenerator.py L:651 DEBUG [2021-01-31 17:52:49,976] PriceGenerator work finished: 2021-01-31 17:52:49
Process finished with exit code 0
```

Также рядом будет сохранён файл `test.csv`, пример которого можно посмотреть здесь: [./media/test.csv](./media/test.csv).
Expand All @@ -244,9 +242,9 @@ PriceGenerator.py L:399 INFO [2021-01-31 18:00:31,719] 96 2021-02-03 12:00
PriceGenerator.py L:399 INFO [2021-01-31 18:00:31,719] 97 2021-02-03 13:00:00+03:00 78.36 78.40 78.05 78.07 27250
PriceGenerator.py L:399 INFO [2021-01-31 18:00:31,719] 98 2021-02-03 14:00:00+03:00 78.07 78.61 75.72 76.42 22979
PriceGenerator.py L:399 INFO [2021-01-31 18:00:31,719] 99 2021-02-03 15:00:00+03:00 76.42 77.37 76.25 77.16 30845
PriceGenerator.py L:173 INFO [2021-01-31 18:00:31,719] Saving [100] rows of pandas dataframe with columns: ['date', 'time', 'open', 'high', 'low', 'close', 'volume']...
PriceGenerator.py L:181 INFO [2021-01-31 18:00:31,731] Pandas dataframe saved to .csv-file [./test.csv]
PriceGenerator.py L:410 INFO [2021-01-31 18:00:31,731] Rendering pandas dataframe as Bokeh chart...
PriceGenerator.py L:173 INFO [2021-01-31 18:00:31,719] Saving [100] rows of Pandas DataFrame with columns: ['date', 'time', 'open', 'high', 'low', 'close', 'volume']...
PriceGenerator.py L:181 INFO [2021-01-31 18:00:31,731] Pandas DataFrame saved to .csv-file [./test.csv]
PriceGenerator.py L:410 INFO [2021-01-31 18:00:31,731] Rendering Pandas DataFrame as Bokeh chart...
PriceGenerator.py L:300 INFO [2021-01-31 18:00:31,740] Some statistical info:
## Summary
Expand Down Expand Up @@ -279,9 +277,7 @@ PriceGenerator.py L:300 INFO [2021-01-31 18:00:31,740] Some statistical in
| - 80 percentile: | ≤ 2.2
| - 50 percentile: | ≤ 1.15
| Cumulative sum of volumes: | 1777314
PriceGenerator.py L:563 INFO [2021-01-31 18:00:32,290] Pandas dataframe rendered as html-file [./index.html]
Process finished with exit code 0
PriceGenerator.py L:563 INFO [2021-01-31 18:00:32,290] Pandas DataFrame rendered as html-file [./index.html]
```

После выполнения команды выше вы получите три файла:
Expand Down

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