diff --git a/docs/plotting.md b/docs/plotting.md
index 62671f219..7643d956f 100644
--- a/docs/plotting.md
+++ b/docs/plotting.md
@@ -5,21 +5,34 @@ This page explains how to plot prices, indicator, profits.
 - [Plot price and indicators](#plot-price-and-indicators)
 - [Plot profit](#plot-profit)
 
+## Installation
+
+Plotting scripts use Plotly library. Install/upgrade it with:
+
+```
+pip install --upgrade plotly
+```
+
+At least version 2.3.0 is required.
+
 ## Plot price and indicators
 Usage for the price plotter:
-script/plot_dataframe.py [-h] [-p pair]
+
+```
+script/plot_dataframe.py [-h] [-p pair] [--live]
+```
 
 Example
 ```
-python script/plot_dataframe.py -p BTC_ETH,BTC_LTC
+python script/plot_dataframe.py -p BTC_ETH
 ```
 
-The -p pair argument, can be used to specify what
+The `-p` pair argument, can be used to specify what
 pair you would like to plot.
 
 **Advanced use**
 
-To plot the current live price use the --live flag:
+To plot the current live price use the `--live` flag:
 ```
 python scripts/plot_dataframe.py -p BTC_ETH --live
 ```
@@ -51,19 +64,14 @@ The third graph can be useful to spot outliers, events in pairs
 that makes profit spikes.
 
 Usage for the profit plotter:
-script/plot_profit.py [-h] [-p pair] [--datadir directory] [--ticker_interval num]
 
-The -p pair argument, can be used to plot a single pair
+```
+script/plot_profit.py [-h] [-p pair] [--datadir directory] [--ticker_interval num]
+```
+
+The `-p` pair argument, can be used to plot a single pair
 
 Example
 ```
 python python scripts/plot_profit.py --datadir ../freqtrade/freqtrade/tests/testdata-20171221/ -p BTC_LTC
 ```
-
-**When it goes wrong**
-
-*** Linux: Can't display**
-
-If you are inside an python environment, you might want to set the
-DISPLAY variable as so:
-$ DISPLAY=:0 python scripts/plot_dataframe.py
diff --git a/requirements.txt b/requirements.txt
index a21d53087..daec7e97f 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -22,5 +22,4 @@ tabulate==0.8.2
 pymarketcap==3.3.153
 
 # Required for plotting data
-#matplotlib==2.1.0
-#PYQT5==5.9
+#plotly==2.3.0
diff --git a/scripts/plot_dataframe.py b/scripts/plot_dataframe.py
index 64b508d55..b60b60b82 100755
--- a/scripts/plot_dataframe.py
+++ b/scripts/plot_dataframe.py
@@ -3,14 +3,16 @@
 import sys
 import logging
 import argparse
+import os
 
-import matplotlib
-# matplotlib.use("Qt5Agg")
-import matplotlib.dates as mdates
-import matplotlib.pyplot as plt
 from pandas import DataFrame
 import talib.abstract as ta
 
+import plotly
+from plotly import tools
+from plotly.offline import plot
+import plotly.graph_objs as go
+
 import freqtrade.vendor.qtpylib.indicators as qtpylib
 from freqtrade import exchange, analyze
 from freqtrade.misc import common_args_parser
@@ -36,8 +38,7 @@ def plot_analyzed_dataframe(args) -> None:
     :param pair: pair as str
     :return: None
     """
-    pair = args.pair
-    pairs = [pair]
+    pair = args.pair.replace('-', '_')
     timerange = misc.parse_timerange(args.timerange)
 
     # Init strategy
@@ -52,7 +53,7 @@ def plot_analyzed_dataframe(args) -> None:
         exchange._API = exchange.Bittrex({'key': '', 'secret': ''})
         tickers[pair] = exchange.get_ticker_history(pair, tick_interval)
     else:
-        tickers = optimize.load_data(args.datadir, pairs=pairs,
+        tickers = optimize.load_data(args.datadir, pairs=[pair],
                                      ticker_interval=tick_interval,
                                      refresh_pairs=False,
                                      timerange=timerange)
@@ -62,38 +63,84 @@ def plot_analyzed_dataframe(args) -> None:
     dataframe = analyze.populate_sell_trend(dataframe)
     dates = misc.datesarray_to_datetimearray(dataframe['date'])
 
-    # Two subplots sharing x axis
-    fig, (ax1, ax2, ax3) = plt.subplots(3, sharex=True)
-    fig.suptitle(pair + " " +     str(tick_interval), fontsize=14, fontweight='bold')
+    if (len(dataframe.index) > 750):
+        logger.warn('Ticker contained more than 750 candles, clipping.')
+    df = dataframe.tail(750)
 
-    ax1.plot(dates, dataframe['close'], label='close')
-    # ax1.plot(dates, dataframe['sell'], 'ro', label='sell')
-    ax1.plot(dates, dataframe['sma'], '--', label='SMA')
-    ax1.plot(dates, dataframe['tema'], ':', label='TEMA')
-    ax1.plot(dates, dataframe['blower'], '-.', label='BB low')
-    ax1.plot(dates, dataframe['close'] * dataframe['buy'], 'bo', label='buy')
-    ax1.plot(dates, dataframe['close'] * dataframe['sell'], 'ro', label='sell')
+    candles = go.Candlestick(x=df.date,
+                        open=df.open,
+                        high=df.high,
+                        low=df.low,
+                        close=df.close,
+                        name='Price')
 
-    ax1.legend()
+    df_buy = df[df['buy'] == 1]
+    buys = go.Scattergl(
+        x=df_buy.date,
+        y=df_buy.close,
+        mode='markers',
+        name='buy',
+        marker=dict(symbol='x-dot')
+    )
+    df_sell = df[df['sell'] == 1]
+    sells = go.Scattergl(
+        x=df_sell.date,
+        y=df_sell.close,
+        mode='markers',
+        name='sell',
+        marker=dict(symbol='diamond')
+    )
 
-    ax2.plot(dates, dataframe['adx'], label='ADX')
-    ax2.plot(dates, dataframe['mfi'], label='MFI')
-    # ax2.plot(dates, [25] * len(dataframe.index.values))
-    ax2.legend()
+    bb_lower = go.Scatter(
+        x=df.date,
+        y=df.bb_lowerband,
+        name='BB lower',
+        line={'color': "transparent"},
+    )
+    bb_upper = go.Scatter(
+        x=df.date,
+        y=df.bb_upperband,
+        name='BB upper',
+        fill="tonexty",
+        fillcolor="rgba(0,176,246,0.2)", 
+        line={'color': "transparent"},
+    )
 
-    ax3.plot(dates, dataframe['fastk'], label='k')
-    ax3.plot(dates, dataframe['fastd'], label='d')
-    ax3.plot(dates, [20] * len(dataframe.index.values))
-    ax3.legend()
-    xfmt = mdates.DateFormatter('%d-%m-%y %H:%M')  # Dont let matplotlib autoformat date
-    ax3.xaxis.set_major_formatter(xfmt)
+    macd = go.Scattergl(
+        x=df['date'],
+        y=df['macd'],
+        name='MACD'
+    )
+    macdsignal = go.Scattergl(
+        x=df['date'],
+        y=df['macdsignal'],
+        name='MACD signal'
+    )
+
+    volume = go.Bar(
+        x=df['date'],
+        y=df['volume'],
+        name='Volume'
+    )
+
+    fig = tools.make_subplots(rows=3, cols=1, shared_xaxes=True, row_width=[1, 1, 4])
+
+    fig.append_trace(candles, 1, 1)
+    fig.append_trace(bb_lower, 1, 1)
+    fig.append_trace(bb_upper, 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['layout'].update(title=args.pair)
+    fig['layout']['yaxis1'].update(title='Price')
+    fig['layout']['yaxis2'].update(title='Volume')
+    fig['layout']['yaxis3'].update(title='MACD')
+
+    plot(fig, filename='freqtrade-plot.html')
 
-    # Fine-tune figure; make subplots close to each other and hide x ticks for
-    # all but bottom plot.
-    fig.subplots_adjust(hspace=0)
-    fig.autofmt_xdate()  # Rotate the dates
-    plt.setp([a.get_xticklabels() for a in fig.axes[:-1]], visible=False)
-    plt.show()
 
 if __name__ == '__main__':
     args = plot_parse_args(sys.argv[1:])
diff --git a/scripts/plot_profit.py b/scripts/plot_profit.py
index 29dda8961..6e15b3bb6 100755
--- a/scripts/plot_profit.py
+++ b/scripts/plot_profit.py
@@ -2,10 +2,13 @@
 
 import sys
 import json
-import matplotlib.pyplot as plt
-import matplotlib.dates as mdates
 import numpy as np
 
+import plotly
+from plotly import tools
+from plotly.offline import plot
+import plotly.graph_objs as go
+
 import freqtrade.optimize as optimize
 import freqtrade.misc as misc
 import freqtrade.exchange as exchange
@@ -122,30 +125,32 @@ def plot_profit(args) -> None:
     # Plot the pairs average close prices, and total profit growth
     #
 
-    fig, (ax1, ax2, ax3) = plt.subplots(3, sharex=True)
-    fig.suptitle('total profit')
+    avgclose = go.Scattergl(
+        x=dates,
+        y=avgclose,
+        name='Avg close price',
+    )
+    profit = go.Scattergl(
+        x=dates,
+        y=pg,
+        name='Profit',
+    )
 
-    ax1.plot(dates, avgclose, label='avgclose')
-    ax2.plot(dates, pg, label='profit')
-    ax1.legend(loc='upper left')
-    ax2.legend(loc='upper left')
+    fig = tools.make_subplots(rows=3, cols=1, shared_xaxes=True, row_width=[1, 1, 1])
+
+    fig.append_trace(avgclose, 1, 1)
+    fig.append_trace(profit, 2, 1)
 
-    # FIX if we have one line pair in paris
-    #     then skip the plotting of the third graph,
-    #     or change what we plot
-    # In third graph, we plot each profit separately
     for pair in pairs:
         pg = make_profit_array(data, max_x, pair)
-        ax3.plot(dates, pg, label=pair)
-    ax3.legend(loc='upper left')
-    # black background to easier see multiple colors
-    ax3.set_facecolor('black')
-    xfmt = mdates.DateFormatter('%d-%m-%y %H:%M')  # Dont let matplotlib autoformat date
-    ax3.xaxis.set_major_formatter(xfmt)
+        pair_profit = go.Scattergl(
+            x=dates,
+            y=pg,
+            name=pair,
+        )
+        fig.append_trace(pair_profit, 3, 1)
 
-    fig.subplots_adjust(hspace=0)
-    fig.autofmt_xdate()  # Rotate the dates
-    plt.show()
+    plot(fig, filename='freqtrade-profit-plot.html')
 
 
 if __name__ == '__main__':