Created
March 25, 2024 04:35
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Modeling example
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class Candle(BaseCutsModel): | |
open_time: int | |
open: Decimal | |
high: Decimal | |
low: Decimal | |
close: Decimal | |
volume: Decimal | |
close_time: int | |
quote_asset_volume: Decimal | |
number_of_trades: int | |
taker_buy_base_asset_volume: Decimal | |
taker_buy_quote_asset_volume: Decimal | |
volume_ma: Decimal | None = None | |
taker_buy_volume_ma: Decimal | None = None | |
async def get_candles(symbol: str, timeframe: Timeframes, limit: int = 529) -> List[Candle]: | |
url = f"{BINANCE_BASE_URL}/fapi/v1/klines" | |
params = {"symbol": symbol, "interval": timeframe.value, "limit": limit + 4} | |
def _map_candle(x: list) -> Candle: | |
return Candle( | |
open_time=x[0], | |
open=Decimal(x[1]), | |
high=Decimal(x[2]), | |
low=Decimal(x[3]), | |
close=Decimal(x[4]), | |
volume=Decimal(x[5]), | |
close_time=x[6], | |
quote_asset_volume=Decimal(x[7]), | |
number_of_trades=x[8], | |
taker_buy_base_asset_volume=Decimal(x[9]), | |
taker_buy_quote_asset_volume=Decimal(x[10]), | |
) | |
async with aiohttp.ClientSession() as session: | |
async with session.get(url, params=params) as response: | |
data = await response.json() | |
results = [_map_candle(x) for x in data] | |
if len(results) == 0: | |
return [] | |
# MA | |
try: | |
vol_ma = talib.SMA(np.array([float(x.quote_asset_volume) for x in results]), timeperiod=limit) | |
taker_buy_vol_ma = talib.SMA( | |
np.array([float(x.taker_buy_quote_asset_volume) for x in results]), timeperiod=limit | |
) | |
except Exception: | |
return [] | |
results[-1].volume_ma = Decimal(vol_ma[-1]) | |
results[-2].volume_ma = Decimal(vol_ma[-2]) | |
results[-1].taker_buy_volume_ma = Decimal(taker_buy_vol_ma[-1]) | |
results[-2].taker_buy_volume_ma = Decimal(taker_buy_vol_ma[-2]) | |
return results |
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