Candlestick Charts in Python with Plotly

Some traders are visually oriented. They need charts. As data scientists, we need to be able to present information in a way that others can understand. Presenting traders a candlestick chart is one of the best ways to transfer useful data.
Blog Purpose:
  • Demonstrate how to create a basic candlestick chart in Python 3
  • Demonstrate how to highlight/annotate points on the chart.

Python Plotly Candlestick Chart with annonations

Keywords: Python, Plotly, OHLC, Candlestick Charts, Jupyter, Pandas, Traders

Step 1 – Get the Minute Bar Data for the Candlestick Chart

The first step is to get the open – high – low – close (OHLC) data organized into 1 minute bars. For this I used CloudQuant’s AI, a JupyterLab based tool. The data for a couple of symbols are included in the source code for this blog.
Since most of you don’t have access to CloudQuant.AI I am providing the OHLC data at the end of this post so you can replicate the results of this code.
# Imports that you are going to need to read a file
import pandas as pd

# Read the file using pandas - so much easier than writing your own file I/O!
df_symbol_bar_Data = pd.read_csv("bar.csv")

# Show some of the data you read
df_symbol_bar_Data.head()

This results in the following output:

OHLC Data frame Python Pandas

Now you have data you can chart. Your OHLC data is in your memory table and can be used to populate the candlestick chart.

Step 2 – Build your Candlestick Chart

####### Import the library you need to create the chart
import plotly.graph_objs as go

To build the chart we need to give the candlestick chart a the X axis (horizontal) and multiple points representing the OHLC points on the Y axis (vertical). We do this with the graph_objs.

data=[go.Candlestick(x=df_symbol_bar_Data['datetime'],
                open=df_symbol_bar_Data['open'],
                high=df_symbol_bar_Data['high'],
                low=df_symbol_bar_Data['low'],
                close=df_symbol_bar_Data['close'])]

Now that we have the data we can plot it onto our screen.

figSignal = go.Figure(data=data)
figSignal.show()

This will be result in the following graph:

Python Plotly Candlestick Chart Example

Some cool features to point out.
  1. By default you can zoom in on any point on the graph using drag with your mouse.
  2. You can also zoom with the slider control under the graph.
  3. The control icons on the top right have the ability to reset your zoom and other fun stuff. I suggest you play with it because I don’t want to take the time to write about it today.

Step 3 – Add Titles to the Chart and Each Axis

Charts that have no reference data are useless. When building a graphic make the assumption that it will be copied without any supporting text. This chart would benefit from labeling the X-Axis (time), and the Y-Axis (price). Also we really should tell the reader which stock symbol this chart is representing.
To do this we need to create a layout for Plotly to know how to display.
# Create a basic layout that names the chart and each axis.
layout = dict(
        title="FB Facebook",
        xaxis=go.layout.XAxis(title=go.layout.xaxis.Title( text="Time")),
        yaxis=go.layout.YAxis(title=go.layout.yaxis.Title( text="Price $ - US Dollars"))
)


# set the data from our data frame
data=[go.Candlestick(x=df_symbol_bar_Data['datetime'],
                open=df_symbol_bar_Data['open'],
                high=df_symbol_bar_Data['high'],
                low=df_symbol_bar_Data['low'],
                close=df_symbol_bar_Data['close'])]

# display the Candlestic chart with the optional layout
figSignal = go.Figure(data=data, layout=layout)
figSignal.show()


This produces the following chart. – Much better. Now we know that Facebook dropped from $184 to $180 on August 22nd between 9:30am and 10:30am EST.*
Python Plotly Candlestick Chart with labeled axis and chart

Step 4 – Removing the Slider Control – Changing the Graph Size

I’m still not happy with this chart. Improving the chart can be done by addressing a few things I don’t like:
  • The slider at the bottom, while useful for interacting, doesn’t look nice.
  • The height of the chart is too small.
  • The width could be smaller.
Let’s address these issues with the following code:
# Create a basic layout that names the chart and each axis.
layout = dict(
        title="FB Facebook",
        xaxis=go.layout.XAxis(title=go.layout.xaxis.Title( text="Time (EST - New York)"), rangeslider=dict (visible = False)),
        yaxis=go.layout.YAxis(title=go.layout.yaxis.Title( text="Price $ - US Dollars")),
        width=1000,
        height=800
)

# set the data from our data frame
data=[go.Candlestick(x=df_symbol_bar_Data['datetime'],
                open=df_symbol_bar_Data['open'],
                high=df_symbol_bar_Data['high'],
                low=df_symbol_bar_Data['low'],
                close=df_symbol_bar_Data['close'])]

# display the Candlestic chart with the optional layout
figSignal = go.Figure(data=data,layout=layout)
figSignal.show()

This produces the following chart with better dimensions.

Python Plotly Candlestick Chart with set chart size

Step 5 – Showing a Point of Interest (annotating)

The data shows that the high ($184.15) occurred at 09:31.
The low ($179.91) occurred at 10:33.
Drawing arrows on this graph to show these points is possible using the following code.
from datetime import datetime
low_time = datetime(2019, 8, 22, 10, 33, 0, 0)
low_px = 179.91

high_time = datetime(2019, 8, 22, 9, 31, 0, 0)
high_px = 184.15

#######################################################
# Adding annotations for the high and low of the day.
annotations = []
annotations.append(go.layout.Annotation(x=low_time,
                                        y=low_px,
                                        showarrow=True,
                                        arrowhead=1,
                                        arrowcolor="purple",
                                        arrowsize=2,
                                        arrowwidth=2,
                                        text="Low"))

annotations.append(go.layout.Annotation(x=high_time,
                                        y=high_px,
                                        showarrow=True,
                                        arrowhead=1,
                                        arrowcolor="purple",
                                        arrowsize=2,
                                        arrowwidth=2,
                                        text="High"))
# Create a basic layout that names the chart and each axis.
layout = dict(
        title="FB Facebook",
        xaxis=go.layout.XAxis(title=go.layout.xaxis.Title( text="Time (EST - New York)"), rangeslider=dict (visible = False)),
        yaxis=go.layout.YAxis(title=go.layout.yaxis.Title( text="Price $ - US Dollars")),
        width=1000,
        height=800,
        annotations=annotations
)


# set the data from our data frame
data=[go.Candlestick(x=df_symbol_bar_Data['datetime'],
                open=df_symbol_bar_Data['open'],
                high=df_symbol_bar_Data['high'],
                low=df_symbol_bar_Data['low'],
                close=df_symbol_bar_Data['close'])]

# display the Candlestic chart with the optional layout
figSignal = go.Figure(data=data,layout=layout)
figSignal.show()
This results in the following chart with our annotations (arrows indicating high and low for the day).
Python Plotly Candlestick Chart with annonations

Conclusion – Final Thoughts

There are other ways to improve the chart. This is just an overview of my cheat sheet for getting a good candlestick up and running in my JupyterLab notebook quickly.  I also use bokeh for plotting candlestick charts too. In a future post I will cover the basics of using bokeh for presenting market data.
Questions or comments? email me at tdraughon@cloudquant.com

*Tayloe’s pet peeve: I hate poorly labeled charts. Always label your subject, currency, and time zone.   Do not assume that only Americans on the east coast will be reviewing the chart. Do assume that someone else is going to copy your chart and use it without your supporting documentation.

About Tayloe Draughon

Tayloe is the Senior Product Manager at CloudQuant. He is a FINTECH innovator and entrepreneur. His profile can be found on LinkedIn.

bar.csv – The data file used in this post

Copy this table to a file called “bar.csv” if you want the above code to work as written.

_seq close high low open symbol volume datetime
14864 183.900 184.100 183.900 184.100 FB 536 2019-08-22 09:00:00-04:00
15243 184.090 184.090 184.090 184.090 FB 2 2019-08-22 09:01:00-04:00
15539 184.100 184.100 184.100 184.100 FB 1 2019-08-22 09:02:00-04:00
15801 183.910 183.910 183.900 183.900 FB 11 2019-08-22 09:03:00-04:00
15988 184.100 184.100 183.990 183.990 FB 214 2019-08-22 09:04:00-04:00
16355 183.930 184.094 183.930 184.000 FB 64 2019-08-22 09:05:00-04:00
16614 184.060 184.060 183.900 183.930 FB 539 2019-08-22 09:06:00-04:00
16910 184.100 184.100 183.900 183.910 FB 186 2019-08-22 09:07:00-04:00
17175 183.940 184.100 183.900 183.930 FB 975 2019-08-22 09:08:00-04:00
17428 184.000 184.000 184.000 184.000 FB 1 2019-08-22 09:09:00-04:00
17699 183.910 184.000 183.910 183.910 FB 106 2019-08-22 09:10:00-04:00
17984 184.000 184.000 184.000 184.000 FB 5 2019-08-22 09:11:00-04:00
18258 184.000 184.000 184.000 184.000 FB 20 2019-08-22 09:12:00-04:00
18509 183.970 183.970 183.970 183.970 FB 3 2019-08-22 09:13:00-04:00
18715 183.900 183.988 183.830 183.830 FB 350 2019-08-22 09:14:00-04:00
19038 184.000 184.000 183.830 183.900 FB 1517 2019-08-22 09:15:00-04:00
19285 183.990 183.990 183.840 183.840 FB 206 2019-08-22 09:16:00-04:00
19478 183.760 183.840 183.700 183.840 FB 1521 2019-08-22 09:17:00-04:00
19725 183.800 183.800 183.640 183.640 FB 38 2019-08-22 09:18:00-04:00
20047 183.700 183.800 183.700 183.730 FB 1308 2019-08-22 09:19:00-04:00
20291 183.820 183.820 183.651 183.651 FB 160 2019-08-22 09:20:00-04:00
20545 183.800 183.800 183.800 183.800 FB 48 2019-08-22 09:21:00-04:00
20802 183.800 183.800 183.800 183.800 FB 20 2019-08-22 09:22:00-04:00
21067 183.800 183.800 183.800 183.800 FB 25 2019-08-22 09:23:00-04:00
21330 183.560 183.800 183.560 183.650 FB 5292 2019-08-22 09:24:00-04:00
21605 183.510 183.630 183.510 183.630 FB 24 2019-08-22 09:25:00-04:00
21901 183.500 183.630 183.500 183.630 FB 610 2019-08-22 09:26:00-04:00
22126 183.509 183.630 183.509 183.620 FB 4413 2019-08-22 09:27:00-04:00
22645 183.470 183.500 183.420 183.500 FB 2856 2019-08-22 09:28:00-04:00
23038 183.510 183.510 183.420 183.420 FB 1410 2019-08-22 09:29:00-04:00
24194 183.390 183.870 183.260 183.510 FB 210867 2019-08-22 09:30:00-04:00
31175 183.748 184.150 183.380 183.380 FB 45873 2019-08-22 09:31:00-04:00
34072 183.565 183.909 183.500 183.755 FB 22799 2019-08-22 09:32:00-04:00
37264 183.640 183.710 183.300 183.500 FB 35274 2019-08-22 09:33:00-04:00
40623 183.740 183.790 183.600 183.620 FB 9214 2019-08-22 09:34:00-04:00
44501 183.900 184.000 183.670 183.760 FB 26497 2019-08-22 09:35:00-04:00
48191 184.090 184.100 183.970 183.980 FB 55074 2019-08-22 09:36:00-04:00
51368 183.910 184.100 183.790 184.075 FB 59810 2019-08-22 09:37:00-04:00
55560 183.760 183.960 183.660 183.940 FB 27749 2019-08-22 09:38:00-04:00
59167 183.450 183.820 183.360 183.810 FB 44067 2019-08-22 09:39:00-04:00
62121 183.612 183.759 183.460 183.490 FB 19082 2019-08-22 09:40:00-04:00
65354 183.730 183.790 183.610 183.620 FB 34326 2019-08-22 09:41:00-04:00
69059 183.897 183.923 183.680 183.720 FB 37694 2019-08-22 09:42:00-04:00
72291 183.766 183.920 183.630 183.908 FB 33889 2019-08-22 09:43:00-04:00
75688 183.650 183.790 183.610 183.770 FB 15164 2019-08-22 09:44:00-04:00
78968 183.585 183.760 183.400 183.620 FB 32982 2019-08-22 09:45:00-04:00
82796 183.500 183.580 183.340 183.580 FB 35042 2019-08-22 09:46:00-04:00
86179 183.450 183.575 183.450 183.470 FB 25017 2019-08-22 09:47:00-04:00
89981 183.480 183.570 183.380 183.460 FB 14066 2019-08-22 09:48:00-04:00
93303 183.670 183.706 183.450 183.480 FB 11104 2019-08-22 09:49:00-04:00
96599 183.570 183.660 183.490 183.660 FB 11175 2019-08-22 09:50:00-04:00
100266 183.560 183.630 183.451 183.560 FB 35748 2019-08-22 09:51:00-04:00
103763 183.540 183.630 183.490 183.550 FB 15682 2019-08-22 09:52:00-04:00
106887 183.556 183.640 183.500 183.520 FB 15911 2019-08-22 09:53:00-04:00
110598 183.560 183.670 183.540 183.570 FB 17027 2019-08-22 09:54:00-04:00
113628 183.550 183.670 183.440 183.600 FB 22657 2019-08-22 09:55:00-04:00
117216 183.468 183.660 183.430 183.550 FB 18883 2019-08-22 09:56:00-04:00
120699 183.320 183.550 183.310 183.470 FB 25066 2019-08-22 09:57:00-04:00
123895 183.000 183.340 182.960 183.330 FB 104041 2019-08-22 09:58:00-04:00
127280 182.960 183.050 182.890 182.990 FB 48139 2019-08-22 09:59:00-04:00
130771 182.924 183.140 182.880 182.980 FB 35914 2019-08-22 10:00:00-04:00
134731 183.040 183.080 182.880 182.930 FB 23721 2019-08-22 10:01:00-04:00
138189 182.950 183.050 182.920 183.040 FB 31432 2019-08-22 10:02:00-04:00
141893 182.940 183.090 182.850 182.920 FB 57105 2019-08-22 10:03:00-04:00
145406 182.970 183.090 182.961 182.988 FB 37371 2019-08-22 10:04:00-04:00
148980 182.630 182.970 182.590 182.970 FB 49890 2019-08-22 10:05:00-04:00
152889 182.590 182.750 182.530 182.630 FB 37613 2019-08-22 10:06:00-04:00
156100 182.420 182.600 182.340 182.583 FB 68407 2019-08-22 10:07:00-04:00
159898 182.300 182.450 182.268 182.420 FB 56733 2019-08-22 10:08:00-04:00
163597 182.218 182.370 182.210 182.330 FB 31043 2019-08-22 10:09:00-04:00
166975 182.159 182.250 182.088 182.210 FB 74832 2019-08-22 10:10:00-04:00
170251 182.040 182.220 181.910 182.160 FB 213896 2019-08-22 10:11:00-04:00
174195 182.130 182.200 182.020 182.030 FB 60326 2019-08-22 10:12:00-04:00
177489 181.920 182.210 181.910 182.140 FB 56220 2019-08-22 10:13:00-04:00
180907 181.680 181.933 181.600 181.900 FB 103192 2019-08-22 10:14:00-04:00
184623 181.780 181.940 181.620 181.680 FB 70944 2019-08-22 10:15:00-04:00
188206 181.871 181.940 181.770 181.792 FB 63284 2019-08-22 10:16:00-04:00
191577 181.940 182.030 181.830 181.906 FB 72921 2019-08-22 10:17:00-04:00
194923 182.020 182.160 181.900 181.950 FB 53206 2019-08-22 10:18:00-04:00
199209 181.890 182.030 181.840 182.020 FB 51637 2019-08-22 10:19:00-04:00
202518 181.920 181.940 181.760 181.875 FB 77563 2019-08-22 10:20:00-04:00
206470 181.735 181.890 181.700 181.890 FB 34649 2019-08-22 10:21:00-04:00
210272 181.430 181.746 181.380 181.746 FB 64291 2019-08-22 10:22:00-04:00
213820 181.519 181.600 181.380 181.430 FB 32081 2019-08-22 10:23:00-04:00
217552 181.440 181.550 181.410 181.470 FB 24716 2019-08-22 10:24:00-04:00
221122 181.370 181.420 181.300 181.410 FB 38232 2019-08-22 10:25:00-04:00
224869 181.100 181.390 181.010 181.383 FB 62971 2019-08-22 10:26:00-04:00
228496 181.010 181.110 180.950 181.100 FB 54202 2019-08-22 10:27:00-04:00
232553 181.020 181.160 180.890 181.010 FB 60448 2019-08-22 10:28:00-04:00
236445 180.948 181.079 180.880 181.021 FB 34949 2019-08-22 10:29:00-04:00
240250 180.710 180.950 180.560 180.940 FB 84368 2019-08-22 10:30:00-04:00
244460 180.410 180.750 180.220 180.710 FB 82327 2019-08-22 10:31:00-04:00
248437 180.300 180.540 180.240 180.440 FB 83464 2019-08-22 10:32:00-04:00
252262 180.100 180.379 179.910 180.270 FB 171312 2019-08-22 10:33:00-04:00
256390 180.328 180.380 180.020 180.060 FB 59802 2019-08-22 10:34:00-04:00
260321 180.170 180.480 180.170 180.340 FB 52580 2019-08-22 10:35:00-04:00
264565 180.343 180.370 179.950 180.160 FB 49462 2019-08-22 10:36:00-04:00
268889 180.660 180.740 180.330 180.330 FB 83442 2019-08-22 10:37:00-04:00
272865 180.740 180.740 180.580 180.667 FB 33176 2019-08-22 10:38:00-04:00
276790 180.704 180.750 180.590 180.690 FB 44814 2019-08-22 10:39:00-04:00
280157 180.645 180.730 180.540 180.715 FB 61046 2019-08-22 10:40:00-04:00
283869 180.750 180.820 180.630 180.660 FB 42180 2019-08-22 10:41:00-04:00
287485 180.830 180.840 180.670 180.750 FB 40907 2019-08-22 10:42:00-04:00
291314 180.650 180.920 180.620 180.810 FB 55788 2019-08-22 10:43:00-04:00
295551 180.570 180.710 180.460 180.655 FB 41013 2019-08-22 10:44:00-04:00
299356 180.689 180.710 180.430 180.570 FB 45433 2019-08-22 10:45:00-04:00
303865 180.889 180.950 180.670 180.690 FB 40184 2019-08-22 10:46:00-04:00
307573 180.694 180.930 180.550 180.885 FB 33100 2019-08-22 10:47:00-04:00
311369 180.775 180.890 180.670 180.706 FB 20606 2019-08-22 10:48:00-04:00
314966 180.930 180.950 180.725 180.751 FB 46975 2019-08-22 10:49:00-04:00
319036 180.910 180.980 180.840 180.930 FB 26600 2019-08-22 10:50:00-04:00
323272 180.744 180.930 180.720 180.910 FB 34767 2019-08-22 10:51:00-04:00
326730 180.676 180.850 180.605 180.755 FB 27960 2019-08-22 10:52:00-04:00
330785 180.990 180.990 180.630 180.675 FB 61421 2019-08-22 10:53:00-04:00
335216 180.760 181.130 180.720 180.990 FB 84232 2019-08-22 10:54:00-04:00
338423 180.725 180.830 180.520 180.755 FB 48319 2019-08-22 10:55:00-04:00
341994 180.770 180.840 180.680 180.710 FB 22855 2019-08-22 10:56:00-04:00
345571 180.828 180.880 180.690 180.790 FB 15039 2019-08-22 10:57:00-04:00
349100 180.850 180.860 180.730 180.810 FB 15311 2019-08-22 10:58:00-04:00
352610 180.705 180.820 180.600 180.820 FB 33458 2019-08-22 10:59:00-04:00
356632 180.870 181.210 180.680 180.720 FB 40717 2019-08-22 11:00:00-04:00
360856 180.720 180.950 180.700 180.850 FB 33994 2019-08-22 11:01:00-04:00
365152 180.760 180.890 180.720 180.750 FB 19456 2019-08-22 11:02:00-04:00
369156 180.780 180.810 180.550 180.790 FB 25000 2019-08-22 11:03:00-04:00
372699 180.660 180.789 180.610 180.760 FB 26541 2019-08-22 11:04:00-04:00
376037 180.830 180.860 180.600 180.665 FB 28384 2019-08-22 11:05:00-04:00
380305 181.100 181.110 180.820 180.860 FB 45326 2019-08-22 11:06:00-04:00
383734 181.240 181.309 181.070 181.110 FB 33341 2019-08-22 11:07:00-04:00
387614 181.120 181.288 181.100 181.230 FB 24253 2019-08-22 11:08:00-04:00
391342 180.908 181.160 180.908 181.120 FB 20073 2019-08-22 11:09:00-04:00
395216 180.980 180.980 180.850 180.921 FB 22429 2019-08-22 11:10:00-04:00
399937 181.030 181.150 180.965 180.980 FB 21587 2019-08-22 11:11:00-04:00
403428 180.980 181.050 180.960 181.025 FB 20034 2019-08-22 11:12:00-04:00
407114 181.205 181.210 180.960 180.980 FB 36151 2019-08-22 11:13:00-04:00
410773 181.070 181.220 181.020 181.200 FB 25997 2019-08-22 11:14:00-04:00
414806 181.090 181.130 181.000 181.070 FB 21072 2019-08-22 11:15:00-04:00
418502 181.180 181.220 181.088 181.088 FB 15006 2019-08-22 11:16:00-04:00
422221 181.220 181.300 181.170 181.180 FB 20349 2019-08-22 11:17:00-04:00
425709 181.160 181.240 181.090 181.225 FB 15868 2019-08-22 11:18:00-04:00
429482 181.080 181.220 181.050 181.150 FB 11667 2019-08-22 11:19:00-04:00
433077 181.142 181.150 181.000 181.100 FB 32106 2019-08-22 11:20:00-04:00
436735 181.252 181.325 181.110 181.140 FB 18916 2019-08-22 11:21:00-04:00
440659 181.190 181.270 181.110 181.250 FB 14931 2019-08-22 11:22:00-04:00
444250 181.240 181.280 181.160 181.200 FB 15450 2019-08-22 11:23:00-04:00
447449 181.210 181.300 181.172 181.260 FB 19159 2019-08-22 11:24:00-04:00
451046 181.360 181.390 181.210 181.210 FB 20797 2019-08-22 11:25:00-04:00
454584 181.310 181.391 181.290 181.380 FB 19418 2019-08-22 11:26:00-04:00
458140 181.370 181.390 181.290 181.308 FB 15057 2019-08-22 11:27:00-04:00
461951 181.390 181.480 181.365 181.370 FB 29430 2019-08-22 11:28:00-04:00
465612 181.173 181.410 181.160 181.395 FB 36794 2019-08-22 11:29:00-04:00
469551 181.140 181.350 181.120 181.160 FB 27955 2019-08-22 11:30:00-04:00
473470 181.190 181.300 181.030 181.140 FB 18026 2019-08-22 11:31:00-04:00
476831 181.135 181.256 181.110 181.200 FB 7740 2019-08-22 11:32:00-04:00
480353 181.236 181.240 181.120 181.130 FB 6329 2019-08-22 11:33:00-04:00
483827 181.336 181.410 181.230 181.235 FB 16273 2019-08-22 11:34:00-04:00
487687 181.550 181.550 181.340 181.360 FB 19255 2019-08-22 11:35:00-04:00
491269 181.500 181.565 181.440 181.540 FB 18644 2019-08-22 11:36:00-04:00
494503 181.530 181.650 181.490 181.500 FB 61417 2019-08-22 11:37:00-04:00
498045 181.450 181.570 181.387 181.550 FB 28784 2019-08-22 11:38:00-04:00
501602 181.445 181.590 181.420 181.450 FB 35676 2019-08-22 11:39:00-04:00
504791 181.330 181.500 181.280 181.445 FB 17394 2019-08-22 11:40:00-04:00
508500 181.480 181.480 181.290 181.335 FB 16080 2019-08-22 11:41:00-04:00
512470 181.310 181.465 181.270 181.450 FB 8696 2019-08-22 11:42:00-04:00
515487 181.350 181.370 181.281 181.322 FB 7451 2019-08-22 11:43:00-04:00
518940 181.340 181.380 181.300 181.370 FB 6822 2019-08-22 11:44:00-04:00
522494 181.240 181.420 181.160 181.350 FB 25474 2019-08-22 11:45:00-04:00
526517 181.140 181.330 181.090 181.250 FB 15999 2019-08-22 11:46:00-04:00
529971 181.120 181.160 181.070 181.160 FB 10018 2019-08-22 11:47:00-04:00
533615 181.030 181.130 180.980 181.130 FB 32235 2019-08-22 11:48:00-04:00
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