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74 lines
2.5 KiB
Python
74 lines
2.5 KiB
Python
from datetime import datetime, time
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import pandas as pd
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import plotly.graph_objects as go
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import streamlit as st
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from frontend.st_utils import get_backend_api_client, initialize_st_page
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# Initialize Streamlit page
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initialize_st_page(title="Download Candles", icon="💾")
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backend_api_client = get_backend_api_client()
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c1, c2, c3, c4 = st.columns([2, 2, 2, 0.5])
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with c1:
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connector = st.selectbox("Exchange",
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["binance_perpetual", "binance", "gate_io", "gate_io_perpetual", "kucoin", "ascend_ex"],
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index=0)
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trading_pair = st.text_input("Trading Pair", value="BTC-USDT")
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with c2:
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interval = st.selectbox("Interval", options=["1m", "3m", "5m", "15m", "1h", "4h", "1d", "1s"])
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with c3:
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start_date = st.date_input("Start Date", value=datetime(2023, 1, 1))
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end_date = st.date_input("End Date", value=datetime(2023, 1, 2))
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with c4:
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get_data_button = st.button("Get Candles!")
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if get_data_button:
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start_datetime = datetime.combine(start_date, time.min)
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end_datetime = datetime.combine(end_date, time.max)
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if end_datetime < start_datetime:
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st.error("End Date should be greater than Start Date.")
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st.stop()
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candles = backend_api_client.market_data.get_historical_candles(
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connector_name=connector,
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trading_pair=trading_pair,
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interval=interval,
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start_time=int(start_datetime.timestamp()),
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end_time=int(end_datetime.timestamp())
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)
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candles_df = pd.DataFrame(candles)
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candles_df.index = pd.to_datetime(candles_df["timestamp"], unit='s')
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# Plotting the candlestick chart
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fig = go.Figure(data=[go.Candlestick(
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x=candles_df.index,
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open=candles_df['open'],
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high=candles_df['high'],
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low=candles_df['low'],
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close=candles_df['close']
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)])
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fig.update_layout(
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height=1000,
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title="Candlesticks",
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xaxis_title="Time",
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yaxis_title="Price",
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template="plotly_dark",
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showlegend=False
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)
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fig.update_xaxes(rangeslider_visible=False)
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fig.update_yaxes(title_text="Price")
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st.plotly_chart(fig, use_container_width=True)
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# Generating CSV and download button
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csv = candles_df.to_csv(index=False)
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filename = f"{connector}_{trading_pair}_{start_date.strftime('%Y%m%d')}_{end_date.strftime('%Y%m%d')}.csv"
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st.download_button(
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label="Download Candles as CSV",
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data=csv,
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file_name=filename,
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mime='text/csv',
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)
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