Rates

class binanceSpotEasyT.rates.Rates(symbol: str, timeframe: binanceSpotEasyT.timeframe.TimeFrame, count)

__init__(symbol: str, timeframe: binanceSpotEasyT.timeframe.TimeFrame, count)

Parameters

• symbol – The symbol you want to retrieve previous data.

• timeframe – The timeframe you want information, like 1 minute, 5 minute, 1 week. You can find all the timeframe available in the TimeFrame Class (binanceSpotEasyT.timeframe).

• count – It is the amount of information in the past you want. If your time frame is 5 minutes and your count is 4, it will return 4 values containing time, open, high, low, close, tick_volume information of this past 4 candlesticks.

change_count(new_count: int) → None

This function changes the count.

Parameters

new_count – It receives the new new_count

Returns

It updates the self._count to the new count.

Examples

>>> # All the code you need to execute the function:
>>> from binanceSpotEasyT.initialization import Initialize
>>> from binanceSpotEasyT.timeframe import TimeFrame
>>> from binanceSpotEasyT.rates import Rates
>>> initialize = Initialize()
>>> initialize.initialize_platform()
>>> initialize.initialize_symbol('BTCUSDT')
>>> timeframe = TimeFrame()
>>> # it will get the last 20 one minute candlestick information.
>>> btcusdt_rates = Rates(symbol='BTCUSDT', timeframe=timeframe.ONE_MINUTE, count=20)
>>> btcusdt_rates.update_rates()
>>> len(btcusdt_rates.close)
20
>>> # When you change the count, you need to update the information, and you can see that it worked.
>>> btcusdt_rates.change_count(5)
>>> btcusdt_rates.update_rates()
>>> len(btcusdt_rates.close)
5

You can ask for this information: time, open, high, low, close, tick_volume.

change_symbol(new_symbol: str) → None

This function changes the symbol.

Parameters

new_symbol – It receives the new symbol

Returns

It updates the self._symbol to the new symbol.

change_timeframe(new_timeframe: binanceSpotEasyT.timeframe.TimeFrame) → None

This function changes the timeframe.

Parameters

new_timeframe – It receives the new timeframe

Returns

It updates the self._timeframe to the new timeframe.

update_rates()

Everytime this function is called it update the last values, it is important to have an updated information to calculate indicators and ensure your trading strategy is working properly.

Returns

It updates the attributes in the constructor.

Examples

>>> # All the code you need to execute the function:
>>> from binanceSpotEasyT.initialization import Initialize
>>> from binanceSpotEasyT.timeframe import TimeFrame
>>> from binanceSpotEasyT.rates import Rates
>>> initialize = Initialize()
>>> initialize.initialize_platform()
>>> timeframe = TimeFrame()
>>> initialize.initialize_symbol('BTCUSDT')
>>> # it will get the last 20 one minute candlestick information, but it will return none at the first time.
>>> # the rates need the information to be updated everytime.
>>> btcusdt_rates = Rates(symbol='BTCUSDT', timeframe=timeframe.ONE_MINUTE, count=20)
>>> # The first time, if you try to get a rates information of the close price you will receive None
>>> btcusdt_rates.close
None
>>> # But when you update the rates, the prices will be updated.
>>> btcusdt_rates.update_rates()
>>> # And the rates will be returned for the information you want.
>>> btcusdt_rates.close
array([47526.5 , 47501.77, 47507.21, 47481.75, 47476.75, 47494.48,
       47497.64, 47486.77, 47484.85, 47499.99, 47498.11, 47487.96,
       47473.43, 47459.  , 47466.4 , 47459.01, 47481.22, 47489.09,
       47510.48, 47520.  ])

You can ask for this information: time, open, high, low, close, tick_volume.