Add more indicators

scripts/plot_dataframe.py

@@ -33,6 +33,20 @@ logger = logging.getLogger(__name__)
 _CONF: Dict[str, Any] = {}
 
 
+# Update the global variable TO_DISPLAY to select which indicator you want to display
+TO_DISPLAY = {
+    'sma': False,  # On Row 1
+    'ema': True,  # On Row 1
+
+    'macd': True,  # On Row 3
+    'rsi': False,  # On Row 3
+    'fisher_rsi': False,  # On Row 3
+    'mfi': False,  # On Row 3
+    'slow': False,  # On Row 3
+    'fast': False  # On Row 3
+}
+
+
 def plot_analyzed_dataframe(args: Namespace) -> None:
     """
     Calls analyze() and plots the returned dataframe
@@ -88,7 +102,6 @@ def plot_analyzed_dataframe(args: Namespace) -> None:
         persistence.init(_CONF, engine)
         trades = Trade.query.filter(Trade.pair.is_(pair)).all()
 
-
     dataframes = analyze.tickerdata_to_dataframe(tickers)
     dataframe = dataframes[pair]
     dataframe = analyze.populate_buy_trend(dataframe)
@@ -97,15 +110,35 @@ def plot_analyzed_dataframe(args: Namespace) -> None:
     if len(dataframe.index) > 750:
         logger.warning('Ticker contained more than 750 candles, clipping.')
 
-    generate_graph(
+    fig = generate_graph(
         pair=pair,
         trades=trades,
         data=dataframe.tail(750)
     )
 
+    plot(fig, filename=os.path.join('user_data', 'freqtrade-plot.html'))
 
-def generate_graph(pair, trades, data):
 
+def generate_graph(pair, trades, data) -> None:
+    """
+    Generate the graph from the data generated by Backtesting or from DB
+    :param pair: Pair to Display on the graph
+    :param trades: All trades created
+    :param data: Dataframe
+    :return: None
+    """
+
+    # Define the graph
+    fig = tools.make_subplots(
+        rows=3,
+        cols=1,
+        shared_xaxes=True,
+        row_width=[1, 1, 4],
+        vertical_spacing=0.0001,
+    )
+    fig['layout'].update(title=pair)
+
+    # Common information
     candles = go.Candlestick(
         x=data.date,
         open=data.open,
@@ -167,51 +200,105 @@ def generate_graph(pair, trades, data):
         )
     )
 
-    bb_lower = go.Scatter(
-        x=data.date,
-        y=data.bb_lowerband,
-        name='BB lower',
-        line={'color': "transparent"},
-    )
-    bb_upper = go.Scatter(
-        x=data.date,
-        y=data.bb_upperband,
-        name='BB upper',
-        fill="tonexty",
-        fillcolor="rgba(0,176,246,0.2)",
-        line={'color': "transparent"},
-    )
-    macd = go.Scattergl(x=data['date'], y=data['macd'], name='MACD')
-    macdsignal = go.Scattergl(x=data['date'], y=data['macdsignal'], name='MACD signal')
-    volume = go.Bar(x=data['date'], y=data['volume'], name='Volume')
-
-    fig = tools.make_subplots(
-        rows=3,
-        cols=1,
-        shared_xaxes=True,
-        row_width=[1, 1, 4],
-        vertical_spacing=0.0001,
-    )
-
     # Row 1
-
     fig.append_trace(candles, 1, 1)
-    fig.append_trace(bb_lower, 1, 1)
+
-    fig.append_trace(bb_upper, 1, 1)
+    if 'bb_lowerband' in data and 'bb_upperband' in data:
+        bb_lower = go.Scatter(
+            x=data.date,
+            y=data.bb_lowerband,
+            name='BB lower',
+            line={'color': "transparent"},
+        )
+        bb_upper = go.Scatter(
+            x=data.date,
+            y=data.bb_upperband,
+            name='BB upper',
+            fill="tonexty",
+            fillcolor="rgba(0,176,246,0.2)",
+            line={'color': "transparent"},
+        )
+        fig.append_trace(bb_lower, 1, 1)
+        fig.append_trace(bb_upper, 1, 1)
+
+    if TO_DISPLAY['sma'] and 'sma' in data:
+        sma = generate_scattergl(index='sma', name='SMA', data=data)
+        fig.append_trace(sma, 1, 1)
+
+    if TO_DISPLAY['ema'] and 'ema10' in data and 'ema50' in data:
+        ema10 = generate_scattergl(index='ema10', name='EMA10', data=data)
+        ema50 = generate_scattergl(index='ema50', name='EMA50', data=data)
+        fig.append_trace(ema10, 1, 1)
+        fig.append_trace(ema50, 1, 1)
+
     fig.append_trace(buys, 1, 1)
     fig.append_trace(sells, 1, 1)
-    fig.append_trace(volume, 2, 1)
-    fig.append_trace(macd, 3, 1)
-    fig.append_trace(macdsignal, 3, 1)
     fig.append_trace(trade_buys, 1, 1)
     fig.append_trace(trade_sells, 1, 1)
-
-    fig['layout'].update(title=pair)
     fig['layout']['yaxis1'].update(title='Price')
-    fig['layout']['yaxis2'].update(title='Volume')
-    fig['layout']['yaxis3'].update(title='MACD')
 
-    plot(fig, filename=os.path.join('user_data', 'freqtrade-plot.html'))
+    # Row 2
+    volume = go.Bar(
+        x=data['date'],
+        y=data['volume'],
+        name='Volume'
+    )
+    fig.append_trace(volume, 2, 1)
+    fig['layout']['yaxis2'].update(title='Volume')
+
+    # Row 3 (On Row 3, we can only display one indicator)
+    if TO_DISPLAY['macd'] and 'macd' in data and 'macdsignal' in data:
+        macd = generate_scattergl(index='macd', name='MACD', data=data)
+        macdsignal = generate_scattergl(index='macdsignal', name='MACD Signal', data=data)
+        fig.append_trace(macd, 3, 1)
+        fig.append_trace(macdsignal, 3, 1)
+        fig['layout']['yaxis3'].update(title='MACD')
+
+    elif TO_DISPLAY['fast'] and 'fastd' in data and 'fastk' in data:
+        fastd = generate_scattergl(index='fastd', name='fastd', data=data)
+        fastk = generate_scattergl(index='fastk', name='fastk', data=data)
+        fig.append_trace(fastd, 3, 1)
+        fig.append_trace(fastk, 3, 1)
+        fig['layout']['yaxis3'].update(title='Stoch Fast')
+
+    elif TO_DISPLAY['slow'] and 'slowd' in data and 'slowk' in data:
+        slowd = generate_scattergl(index='slowd', name='slowd', data=data)
+        slowk = generate_scattergl(index='slowk', name='slowk', data=data)
+        fig.append_trace(slowd, 3, 1)
+        fig.append_trace(slowk, 3, 1)
+        fig['layout']['yaxis3'].update(title='Stoch Slow')
+
+    elif TO_DISPLAY['rsi'] and 'rsi' in data:
+        rsi = generate_scattergl(index='rsi', name='RSI', data=data)
+        fig.append_trace(rsi, 3, 1)
+        fig['layout']['yaxis3'].update(title='RSI')
+
+    elif TO_DISPLAY['mfi'] and 'mfi' in data:
+        mfi = generate_scattergl(index='mfi', name='MFI', data=data)
+        fig.append_trace(mfi, 3, 1)
+        fig['layout']['yaxis3'].update(title='MFI')
+
+    elif TO_DISPLAY['fisher_rsi'] and 'fisher_rsi' in data:
+        fisher_rsi = generate_scattergl(index='fisher_rsi', name='Fisher RSI', data=data)
+        fig.append_trace(fisher_rsi, 3, 1)
+        fig['layout']['yaxis3'].update(title='Fisher RSI')
+
+    return fig
+
+
+def generate_scattergl(index, name, data) -> go.Scattergl:
+    """
+    Generate a Scattergl element
+    :param index: code of the Indicator to generate
+    :param name: Name that will be display in the graph legend
+    :param data: Dataframe
+    :return: Scattergl
+    """
+    return go.Scattergl(
+        x=data['date'],
+        y=data[index],
+        name=name
+    )
 
 
 def plot_parse_args(args: List[str]) -> Namespace: