helper.filter_data calls helper.convert_dtypes

[Phillyclause89]

I really like this lib, but I found it a pain to always have to convert a bunch of strs to numerical data types when I felt like this lib should be giving me this info as floats or ints from the get go. I noticed practically everything gets passed through helper.fliter_data so I thought it would be a nice place fix the type of a few key pieces of data.

When helper.fliter_data is called it will now use helper.convert_dtypes to recursively change str values at specific keys to float or int type. Here is the full list of target keys:

Converts to float:
            "adjusted_mark_price", "ask_price", "bid_price", "break_even_price",
            "high_price", "last_trade_price", "low_price", "mark_price",
            "previous_close_price", "chance_of_profit_long", "chance_of_profit_short",
            "delta", "gamma", "implied_volatility", "rho", "theta", "vega",
            "high_fill_rate_buy_price", "high_fill_rate_sell_price", "low_fill_rate_buy_price",
            "low_fill_rate_sell_price", "last_extended_hours_trade_price", "previous_close",
            "adjusted_previous_close", "below_tick", "above_tick", "estimate", "actual", "cutoff_price",
Converts to int:
            "trade_value_multiplier", "year", "quarter", "ask_size", "bid_size",
            "last_trade_size", "open_interest", "volume",

:param data: The data passed into filter_data.
:returns:  The dict with numerical types for the data from certain keys