TradingPairDataAvailability#
tradingstrategy.candle.TradingPairDataAvailability Python class in Trading Strategy framework.
- class TradingPairDataAvailability[source]#
Bases:
TypedDict
Trading data availability description for a single pair.
Trading Strategy oracle uses sparse data format where candles with zero trades are not generated. This is better suited for illiquid DEX markets with few trades.
Because of sparse data format, we do not know if there is a last candle available - candle may not be available yet or there might not be trades to generate a candle
This information is always time frame (15m, 1h, 1d) specific
See
tradingstrategy.client.Client.fetch_trading_data_availability()
- __init__(*args, **kwargs)#
Methods
__init__
(*args, **kwargs)clear
()copy
()fromkeys
([value])Create a new dictionary with keys from iterable and values set to value.
get
(key[, default])Return the value for key if key is in the dictionary, else default.
items
()keys
()pop
(k[,d])If the key is not found, return the default if given; otherwise, raise a KeyError.
popitem
()Remove and return a (key, value) pair as a 2-tuple.
setdefault
(key[, default])Insert key with a value of default if key is not in the dictionary.
update
([E, ]**F)If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]
values
()Attributes
Blockchain of the pair
Address of the pair
Internal id of the pair
What is the last trade oracle has seen for this trading pair.
What is the last full available candle for this trading pair
What might be the last available candle for this trading pair