depth = client.get_order_book(symbol='BNBBTC')trades = client.get_recent_trades(symbol='BNBBTC')trades = client.get_historical_trades(symbol='BNBBTC')trades = client.get_aggregate_trades(symbol='BNBBTC')Iterate over aggregate trades for a symbol from a given date or a given order id.
agg_trades = client.aggregate_trade_iter(symbol='ETHBTC', start_str='30 minutes ago UTC')
# iterate over the trade iterator
for trade in agg_trades:
print(trade)
# do something with the trade data
# convert the iterator to a list
# note: generators can only be iterated over once so we need to call it again
agg_trades = client.aggregate_trade_iter(symbol='ETHBTC', '30 minutes ago UTC')
agg_trade_list = list(agg_trades)
# example using last_id value
agg_trades = client.aggregate_trade_iter(symbol='ETHBTC', last_id=23380478)
agg_trade_list = list(agg_trades)candles = client.get_klines(symbol='BNBBTC', interval=Client.KLINE_INTERVAL_30MINUTE)Fetch klines for any date range and interval
# fetch 1 minute klines for the last day up until now
klines = client.get_historical_klines("BNBBTC", Client.KLINE_INTERVAL_1MINUTE, "1 day ago UTC")
# fetch 30 minute klines for the last month of 2017
klines = client.get_historical_klines("ETHBTC", Client.KLINE_INTERVAL_30MINUTE, "1 Dec, 2017", "1 Jan, 2018")
# fetch weekly klines since it listed
klines = client.get_historical_klines("NEOBTC", Client.KLINE_INTERVAL_1WEEK, "1 Jan, 2017")Fetch klines using a generator
for kline in client.get_historical_klines_generator("BNBBTC", Client.KLINE_INTERVAL_1MINUTE, "1 day ago UTC")
print(kline)
# do something with the klinetickers = client.get_ticker()Get last price for all markets.
prices = client.get_all_tickers()Get first bid and ask entry in the order book for all markets.
tickers = client.get_orderbook_tickers()