typo fix

Author: shlomiku

README.md

@@ -302,7 +302,7 @@ It is initialized through the alpaca `REST` object.
 | historic_quotes_v2(symbol, date, timestamp=None, timestamp_limit=None, reverse=None, limit=None)|  Returns a `QuotesV2` which is a list of `Quote` entities. `date` is a date string such as '2018-2-2'.  The returned quotes are from this day only. `timestamp` is an integer in Unix Epoch nanoseconds as the lower bound filter, exclusive. `timestamp_limit` is an integer in Unix Epoch nanoseconds as the maximum timestamp allowed in the results. `limit` is an integer for the number of ticks to return.  Default and max is 50000.      |
 | QuotesV2.df                           | Returns a pandas DataFrame object with the ticks returned by the `historic_quotes_v2`.|
 | historic_agg_v2(self, symbol, multiplier, timespan, _from, to, unadjusted=False, limit=None)|  Returns an `AggsV2` which is a list of `Agg` entities. `AggsV2.df` gives you the DataFrame object.<br> - `multiplier` is an integer affecting the amount of data contained in each Agg object. <br> -`timespan` is a string affecting the length of time represented by each Agg object. It is one of the following values: `minute`, `hour`, `day`, `week`, `month`, `quarter`, `year`. <br> - `_from` is an Eastern Time timestamp string/object that filters the result for the lower bound, inclusive. we accept the date in these formats: datetime.datetime, datetime.date, pd.Timestamp, datetime.timestamp, isoformat string (YYYY-MM-DD).<br> -  `to` is an Eastern Time timestamp string that filters the result for the upper bound, inclusive. we support the same formats as the _from field.<br> -  `unadjusted` can be set to true if results should not be adjusted for splits.<br> -  `limit` is an integer to limit the number of results.  3000 is the default and max value. <br>The returned entities have fields relabeled with the longer name instead of shorter ones. For example, the `o` field is renamed to `open`.|
-| Aggs.df                               |  Returns a pandas DataFrame object with the ticks returned by `hitoric_agg_v2`.|
+| Aggs.df                               |  Returns a pandas DataFrame object with the ticks returned by `historic_agg_v2`.|
 | daily_open_close(symbol, date)        |  Returns a `DailyOpenClose` entity.|
 | last_trade(symbol)                    |  Returns a `Trade` entity representing the last trade for the symbol.|
 | last_quote(symbol)                    |  Returns a `Quote` entity representing the last quote for the symbol.|