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Update app.py
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app.py
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import plotly.graph_objs as go
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import pandas as pd
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import ccxt
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df = pd.DataFrame(ohlcv, columns=["timestamp", "open", "high", "low", "close", "volume"])
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df["timestamp"] = pd.to_datetime(df["timestamp"], unit="ms")
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return df
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fig = go.Figure(data=[go.Candlestick(
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x=df["timestamp"],
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open=df["open"],
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high=df["high"],
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low=df["low"],
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close=df["close"]
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)])
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app.layout = html.Div([
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html.
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])
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if __name__ == "__main__":
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app.run_server(
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import dash
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from dash import dcc, html, Input, Output
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import plotly.graph_objs as go
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import ccxt
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import pandas as pd
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# Initialize Dash app
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app = dash.Dash(__name__)
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server = app.server
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# Setup MEXC exchange
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exchange = ccxt.mexc()
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# Supported trading pairs and timeframes
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symbols = ["BTC/USDT", "ETH/USDT", "BNB/USDT", "SOL/USDT"]
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timeframes = ["1m", "5m", "15m", "1h", "4h", "1d"]
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# Default values
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default_symbol = "BTC/USDT"
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default_timeframe = "1h"
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# Helper to fetch OHLCV
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def fetch_ohlcv(symbol, timeframe):
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ohlcv = exchange.fetch_ohlcv(symbol, timeframe)
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df = pd.DataFrame(ohlcv, columns=["timestamp", "open", "high", "low", "close", "volume"])
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df["timestamp"] = pd.to_datetime(df["timestamp"], unit="ms")
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return df
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# Layout
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app.layout = html.Div([
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html.H1("📊 TraderX AI - MEXC Crypto Dashboard"),
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html.Div([
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html.Label("Symbol:"),
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dcc.Dropdown(
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id="symbol-dropdown",
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options=[{"label": s, "value": s} for s in symbols],
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value=default_symbol,
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style={"width": "200px"}
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),
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html.Label("Timeframe:", style={"marginLeft": "20px"}),
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dcc.Dropdown(
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id="timeframe-dropdown",
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options=[{"label": tf, "value": tf} for tf in timeframes],
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value=default_timeframe,
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style={"width": "120px"}
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),
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], style={"display": "flex", "alignItems": "center", "marginBottom": "20px"}),
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dcc.Graph(id="price-chart")
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])
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# Callback
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@app.callback(
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Output("price-chart", "figure"),
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Input("symbol-dropdown", "value"),
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Input("timeframe-dropdown", "value")
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)
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def update_chart(symbol, timeframe):
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try:
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df = fetch_ohlcv(symbol, timeframe)
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candle = go.Candlestick(
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x=df["timestamp"],
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open=df["open"],
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high=df["high"],
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low=df["low"],
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close=df["close"],
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name="Price"
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)
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layout = go.Layout(
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title=f"{symbol} - {timeframe} Chart (MEXC)",
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xaxis={"title": "Time", "rangeslider": {"visible": True}},
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yaxis={"title": "Price (USDT)"},
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height=600
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)
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return {"data": [candle], "layout": layout}
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except Exception as e:
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return {"data": [], "layout": go.Layout(title=f"Error: {str(e)}")}
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# Run app
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if __name__ == "__main__":
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app.run_server(host="0.0.0.0", port=7860)
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