Spaces:

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olywwe

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https-huggingface-co-spaces-olywwe-bibytgradio

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Running

import requests import pandas as pd from datetime import datetime def get_historical_data(coin_id="bitcoin", vs_currency="usd", days=1): url = f"https://api.coingecko.com/api/v3/coins/{coin_id}/market_chart" params = { "vs_currency": vs_currency, "days": days, "interval": "minutely" } response = requests.get(url, params=params) data = response.json() prices = data.get("prices", []) # Converter para DataFrame df = pd.DataFrame(prices, columns=["timestamp", "price"]) df["timestamp"] = pd.to_datetime(df["timestamp"], unit='ms') # Agregar em candles de 15 minutos df.set_index("timestamp", inplace=True) ohlc = df["price"].resample("15T").ohlc() volume = pd.DataFrame(data.get("total_volumes", []), columns=["timestamp", "volume"]) volume["timestamp"] = pd.to_datetime(volume["timestamp"], unit='ms') volume.set_index("timestamp", inplace=True) volume_15min = volume["volume"].resample("15T").sum() ohlc["volume"] = volume_15min ohlc.dropna(inplace=True) return ohlc if __name__ == "__main__": df_15min = get_historical_data() print(df_15min) - Follow Up Deployment