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core/multi_charts.py

@@ -1,56 +0,0 @@
-"""
-Multi Visualization Demo — ECharts + Highcharts (pure HTML/JS)
-Никаких внешних питон-зависимостей, всё через CDN-скрипты.
-"""
-import json
-import numpy as np
-
-def build_echarts_html():
-    # сгенерируем 90 точек псевдо-цены
-    prices = (np.cumsum(np.random.randn(90)) * 100 + 42000).tolist()
-    xcats = list(range(1, 91))
-    return f"""
-    <div id="echarts_btc" style="height:360px;"></div>
-    <script src="https://cdn.jsdelivr.net/npm/echarts@5/dist/echarts.min.js"></script>
-    <script>
-      var chart = echarts.init(document.getElementById('echarts_btc'), null, {{renderer:'canvas'}});
-      var option = {{
-        backgroundColor: '#0d1117',
-        title: {{ text: 'ECharts: BTC/USD (Simulated)', textStyle: {{ color:'#f0f6fc' }} }},
-        tooltip: {{ trigger: 'axis' }},
-        grid: {{ left: 30, right: 20, top: 40, bottom: 20 }},
-        xAxis: {{ type: 'category', data: {json.dumps(xcats)}, axisLine: {{ lineStyle: {{ color:'#30363d' }} }} }},
-        yAxis: {{ type: 'value', axisLine: {{ lineStyle: {{ color:'#30363d' }} }} }},
-        series: [{{
-          name: 'BTC/USD',
-          type: 'line',
-          smooth: true,
-          data: {json.dumps(prices)},
-          lineStyle: {{ width: 2, color: '#4f46e5' }},
-          areaStyle: {{ color: 'rgba(99,102,241,0.15)' }},
-          showSymbol: false
-        }}]
-      }};
-      chart.setOption(option);
-      window.addEventListener('resize', () => chart.resize());
-    </script>
-    """
-
-def build_highcharts_html():
-    prices = (np.cumsum(np.random.randn(90)) * 10 + 2300).tolist()
-    xcats = list(range(1, 91))
-    return f"""
-    <div id="highcharts_eth" style="height:360px;"></div>
-    <script src="https://code.highcharts.com/highcharts.js"></script>
-    <script>
-      Highcharts.chart('highcharts_eth', {{
-        chart: {{ backgroundColor: '#0d1117', style: {{ fontFamily: 'Inter' }} }},
-        title: {{ text: 'Highcharts: ETH/USD (Simulated)', style: {{ color: '#f0f6fc' }} }},
-        xAxis: {{ categories: {json.dumps(xcats)}, labels: {{ style: {{ color: '#9da5b4' }} }} }},
-        yAxis: {{ title: {{ text: 'Price (USD)', style: {{ color: '#9da5b4' }} }} }},
-        tooltip: {{ backgroundColor:'#161b22', borderColor:'#30363d', style: {{ color:'#f0f6fc' }} }},
-        credits: {{ enabled: false }},
-        series: [{{ name: 'ETH/USD', data: {json.dumps(prices)}, color: '#10b981' }}]
-      }});
-    </script>
-    """

core/visual_comparison.py

@@ -1,94 +0,0 @@
-"""
-Module: visual_comparison.py
-Purpose: Interactive crypto pair comparison (Plotly + CoinGecko)
-"""
-
-import requests
-import pandas as pd
-import plotly.graph_objects as go
-
-COINGECKO_API = "https://api.coingecko.com/api/v3"
-
-
-def get_coin_history(coin_id: str, days: int = 180):
-    """Fetch historical market data for given coin from CoinGecko API."""
-    url = f"{COINGECKO_API}/coins/{coin_id}/market_chart?vs_currency=usd&days={days}"
-    r = requests.get(url)
-    r.raise_for_status()
-    data = r.json()
-    df = pd.DataFrame(data["prices"], columns=["timestamp", "price"])
-    df["timestamp"] = pd.to_datetime(df["timestamp"], unit="ms")
-    return df
-
-
-def build_price_chart(pair: tuple[str, str], days: int = 180):
-    """Build comparative price chart for selected pair."""
-    coin_a, coin_b = pair
-
-    df_a = get_coin_history(coin_a, days)
-    df_b = get_coin_history(coin_b, days)
-
-    fig = go.Figure()
-    fig.add_trace(go.Scatter(
-        x=df_a["timestamp"],
-        y=df_a["price"],
-        name=f"{coin_a.capitalize()} / USD",
-        line=dict(width=2),
-    ))
-    fig.add_trace(go.Scatter(
-        x=df_b["timestamp"],
-        y=df_b["price"],
-        name=f"{coin_b.capitalize()} / USD",
-        line=dict(width=2),
-    ))
-
-    fig.update_layout(
-        template="plotly_dark",
-        height=480,
-        margin=dict(l=40, r=20, t=30, b=40),
-        xaxis_title="Date",
-        yaxis_title="Price (USD)",
-        legend_title="Asset",
-        hovermode="x unified",
-    )
-
-    return fig
-
-
-def build_volatility_chart(pair: tuple[str, str], days: int = 180):
-    """Build comparative volatility chart for selected pair."""
-    coin_a, coin_b = pair
-
-    df_a = get_coin_history(coin_a, days)
-    df_b = get_coin_history(coin_b, days)
-
-    df_a["returns"] = df_a["price"].pct_change() * 100
-    df_b["returns"] = df_b["price"].pct_change() * 100
-
-    fig = go.Figure()
-    fig.add_trace(go.Scatter(
-        x=df_a["timestamp"],
-        y=df_a["returns"],
-        name=f"{coin_a.upper()} Daily Change (%)",
-        mode="lines",
-        line=dict(width=1.6),
-    ))
-    fig.add_trace(go.Scatter(
-        x=df_b["timestamp"],
-        y=df_b["returns"],
-        name=f"{coin_b.upper()} Daily Change (%)",
-        mode="lines",
-        line=dict(width=1.6),
-    ))
-
-    fig.update_layout(
-        template="plotly_dark",
-        height=400,
-        margin=dict(l=40, r=20, t=30, b=40),
-        xaxis_title="Date",
-        yaxis_title="Daily Change (%)",
-        legend_title="Volatility",
-        hovermode="x unified",
-    )
-
-    return fig