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Python client library to download historical data from finam.ru

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Ошибка в теме. Думаю, связано с версией питона 3.10. Появляется при попытке исполнения любого скрипта из примеров.

Fixing error in issue #28 by adding interval_divider. Exporter divide max_days until it gets data. It tries 10 times by increasing interval_divider.

When I try to use this library, the following error appears: from finam import Exporter, Market, LookupComparator ``` exporter = Exporter() ticker = 'USDRUB_TOD' rub = exporter.lookup(name = ticker, market...

When you try to load data for EURUSD with 15min period for period more than 1 year. MAX_DAYS_PER_TIMEFRAME doesn't help.

When downloading an array of datasets of one contract and the same timeframe, separated, for example, by months in one folder - they will be replacing each other in one...

Tests to be added, but what do you think in general? Does it make sense?

Time for all market were in moscow time added option between moscow time and market time

For example let's take a look on VTBR M5 data for first hour of 2016.01.04 day: library | site UI :--- | :--- 0.07833999999999999 | 0.0783400 0.07841000000000001 | 0.0784100

Proposed fix for #8 Using **converters** parameter of the **pandas.read_csv** method we can specify the target df columns and corresponding conversion function. I propose to use **Decimal** data type to...