index 0 is out of bounds for axis 0 with size 0

[phpmac]

import ccxt
import pandas as pd
from smartmoneyconcepts import smc

exchange = ccxt.binanceusdm(
    {
        "apiKey": "1",
        "secret": "1",
        "enableRateLimit": True,
    }
)

# exchange.verbose = True
exchange.options["warnOnFetchOpenOrdersWithoutSymbol"] = False

klines = exchange.fetch_ohlcv("POLYX/USDT", "1h", limit=100)

# 转为 df
df = pd.DataFrame(
    klines, columns=["timestamp", "open", "high", "low", "close", "volume"]
)

swing_highs_lows = smc.swing_highs_lows(df, 50)
print(swing_highs_lows)

# fvg_data = smc.fvg(df)
# df = pd.concat([df, fvg_data], axis=1)

# swing_highs_lows = smc.swing_highs_lows(df)
# print(swing_highs_lows)

# print(df)

[phpmac]

[Nicolás M.]

Hello @joshyattridge , I have exactly the same issue.
I have tried resetting the dataframe indexes to integers, and also truncating it, but it didn't help at all.

...

  File "..\venv\lib\site-packages\smartmoneyconcepts\smc.py", line 34, in wrap
    return func(*args, **kwargs)
  File "..\venv\lib\site-packages\smartmoneyconcepts\smc.py", line 192, in swing_highs_lows
    if swing_highs_lows[positions[0]] == 1:
IndexError: index 0 is out of bounds for axis 0 with size 0

FYI, here's the content of my ohlc dataframe (pretty-printed):

datetime	open	high	low	close
2024-04-08 23:01:00-04:00	71430.5	71468	71420.6	71420.6
...	...	...	...	...

[Spinach]

Hi @phpmac @narmaku, look at the tests you need to call df = df.iloc[:, :6] on the DataFrame:

iloc: Purely integer-location based indexing for selection by position.

def import_data(symbol, start_str, timeframe):
client = Client()
start_str = str(start_str)
end_str = f"{datetime.now()}"
df = pd.DataFrame(
client.get_historical_klines(
symbol=symbol, interval=timeframe, start_str=start_str, end_str=end_str
)
).astype(float)
df = df.iloc[:, :6]
df.columns = ["timestamp", "open", "high", "low", "close", "volume"]
df = df.set_index("timestamp")
df.index = pd.to_datetime(df.index, unit="ms").strftime("%Y-%m-%d %H:%M:%S")
return df

[Nicolás M.]

Thanks @VioletEsfenaj. I was already using iloc.

So I think the issue was the fact that I was passing a very high swing_length.

My DataFrame contains candles from the last 60 minutes (1-min candles). So I guess I need to pass a very small swing_length value. I tried with 5 and 3 and it worked well, apparently.

[Joshua Attridge]

This error occurs when the "swing_length" is too large for the amount of candles provided, so you will either need to reduce the "swing_length" or increase the amount of candles you provide the "swing_highs_lows" function.
This error has been managed in the latest change.