def test_ingest_candles(self):
exchange_name = 'bitfinex'
data_frequency = 'minute'
exchange = get_exchange(exchange_name)
bundle = ExchangeBundle(exchange)
assets = [exchange.get_asset('iot_btc')]
end_dt = pd.to_datetime('2017-10-20', utc=True)
bar_count = 100
start_dt = get_start_dt(end_dt, bar_count, data_frequency)
candles = exchange.get_candles(assets=assets,
start_dt=start_dt,
end_dt=end_dt,
bar_count=bar_count,
freq='1T')
writer = bundle.get_writer(start_dt, end_dt, data_frequency)
for asset in assets:
dates = [candle['last_traded'] for candle in candles[asset]]
values = dict()
for field in ['open', 'high', 'low', 'close', 'volume']:
values[field] = [candle[field] for candle in candles[asset]]
periods = bundle.get_calendar_periods_range(
start_dt, end_dt, data_frequency)
df = pd.DataFrame(values, index=dates)
df = df.loc[periods].fillna(method='ffill')
# TODO: why do I get an extra bar?
bundle.ingest_df(ohlcv_df=df,
data_frequency=data_frequency,
asset=asset,
writer=writer,
empty_rows_behavior='raise',
duplicates_behavior='raise')
bundle_series = bundle.get_history_window_series(
assets=assets,
end_dt=end_dt,
bar_count=bar_count,
field='close',
data_frequency=data_frequency,
reset_reader=True)
df = pd.DataFrame(bundle_series)
print('\n' + df_to_string(df))
pass
def test_validate_data(self):
exchange_name = 'bitfinex'
data_frequency = 'minute'
exchange = get_exchange(exchange_name)
exchange_bundle = ExchangeBundle(exchange)
assets = [exchange.get_asset('iot_btc')]
end_dt = pd.to_datetime('2017-9-2 1:00', utc=True)
bar_count = 60
bundle_series = exchange_bundle.get_history_window_series(
assets=assets,
end_dt=end_dt,
bar_count=bar_count * 5,
field='close',
data_frequency='minute',
)
candles = exchange.get_candles(assets=assets,
end_dt=end_dt,
bar_count=bar_count,
freq='1T')
start_dt = get_start_dt(end_dt, bar_count, data_frequency)
frames = []
for asset in assets:
bundle_df = pd.DataFrame(
data=dict(bundle_price=bundle_series[asset]),
index=bundle_series[asset].index)
exchange_series = exchange.get_series_from_candles(
candles=candles[asset],
start_dt=start_dt,
end_dt=end_dt,
data_frequency=data_frequency,
field='close')
exchange_df = pd.DataFrame(
data=dict(exchange_price=exchange_series),
index=exchange_series.index)
df = exchange_df.join(bundle_df, how='left')
df['last_traded'] = df.index
df['asset'] = asset.symbol
df.set_index(['asset', 'last_traded'], inplace=True)
frames.append(df)
df = pd.concat(frames)
print('\n' + df_to_string(df))
pass