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        <title><![CDATA[Stories by CCXT on Medium]]></title>
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            <title><![CDATA[CCXT Pro + WebSockets]]></title>
            <link>https://medium.com/@ccxt/ccxt-pro-websockets-e2e2864fa5b9?source=rss-56dabc8e05b1------2</link>
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            <category><![CDATA[ccxt]]></category>
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            <dc:creator><![CDATA[CCXT]]></dc:creator>
            <pubDate>Thu, 05 Mar 2020 03:15:20 GMT</pubDate>
            <atom:updated>2020-03-05T03:15:20.571Z</atom:updated>
            <content:encoded><![CDATA[<p>Ladies and gentlemen,</p><p>Today we are proud to announce the release of CCXT Pro.</p><figure><img alt="CCXT Pro — A JavaScript / Python / PHP cryptocurrency trading API for professionals" src="https://cdn-images-1.medium.com/max/1024/1*LsLNGJc4Xfv8uj5lNnnS0w.png" /></figure><p><a href="https://ccxt.pro">CCXT Pro - A JavaScript / Python / PHP cryptocurrency trading API for professionals</a></p><p>We are certain that it will be useful to any and every high frequency trader, and to all parties and services that need WebSockets for real-time updates.</p><p>A lot of work over months has gone into what is now the release version of the product. We will continue to develop both CCXT and CCXT Pro in the coming future adding more exchanges and unifying WebSocket methods.</p><p>With CCXT Pro you can utilize WebSockets like a pro. Visit <a href="https://ccxt.pro">https://ccxt.pro</a> to be part of the future of cryptocurrency exchange trading.</p><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*N6rqeQRybG2GVy5Spi1wcw.png" /></figure><img src="https://medium.com/_/stat?event=post.clientViewed&referrerSource=full_rss&postId=e2e2864fa5b9" width="1" height="1" alt="">]]></content:encoded>
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            <title><![CDATA[Playing With CCXT In Google Colab]]></title>
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            <dc:creator><![CDATA[CCXT]]></dc:creator>
            <pubDate>Wed, 25 Jul 2018 01:12:28 GMT</pubDate>
            <atom:updated>2018-07-26T01:18:08.519Z</atom:updated>
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            <content:encoded><![CDATA[<p>Hello world, it’s <a href="https://ccxt.trade/">CCXT</a>. This is the first blog post in our series! Today we will examine <a href="https://colab.research.google.com/">Google Colab</a> and how useful it can be for quick prototyping and testing your ideas.</p><p>Google Colab is basically a cloud version of <a href="http://jupyter.org/">Jupyter Notebooks</a> — a tool well-known among data scientists and ML specialists. It allows to write code in Python and see the result immediately — either in plain text or structured into sophisticated tables with graphics, backed by an enormous count of useful Python libraries for data crunching and visualization.</p><p>Start by creating a new Python 3 notebook:</p><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*PwvoRsJcin2GLqMZd5XuEw.png" /></figure><p>Then type this (and press Shift-Enter to execute the code):</p><pre>!pip install ccxt</pre><p>This will install CCXT for us to simply import it and play around. Write the following in a new code paragraph, to avoid executing the previous command every time:</p><pre><strong>import</strong> ccxt</pre><pre>binance = ccxt.binance () <em># Loads Binance</em><br>binance.load_markets ()</pre><pre><strong>print</strong> (&#39;binance: %d markets loaded!&#39; % <strong>len</strong> (binance.markets))</pre><p>Again, press Shift-Enter to execute. The above code will load all available markets from Binance. Now, let’s fetch historical ETH/USDT prices and draw them in a simple chart? Easy!</p><p>First, prepare the Python chart drawing library, for big sharp-looking graphics with 2x pixel resolution and nice colours:</p><pre><strong>%config</strong> InlineBackend.figure_format = <strong>&#39;retina&#39;</strong></pre><pre><strong>import</strong> matplotlib.pyplot as plt</pre><pre>plt.style.use (<strong>&#39;seaborn-white&#39;</strong>)<br>plt.rcParams[&quot;figure.figsize&quot;] = [<strong>15,6</strong>]</pre><p>Then load the data from Binance and feed it to the chart drawing library with minimal preprocessing:</p><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*CGkCuSm85C1H-NRor6FNhQ.png" /></figure><p>Thanks for reading! You can play with the working example project here:</p><h3>👇👇👇</h3><h4><a href="https://colab.research.google.com/drive/1nOwdbhR2DvTkieRiqSIV-j5Bp-ztZ70W"><strong>colab.research.google.com/drive/1nOwdbhR2DvTkieRiqSIV-j5Bp-ztZ70W</strong></a></h4><h3>👉 <a href="https://twitter.com/ccxt_official">Follow us on <strong>Twitter</strong></a></h3><h3>👉 <a href="https://github.com/ccxt/ccxt">Visit our <strong>GitHub</strong></a></h3><img src="https://medium.com/_/stat?event=post.clientViewed&referrerSource=full_rss&postId=23522ac8a6cb" width="1" height="1" alt=""><hr><p><a href="https://medium.com/ccxt/playing-with-ccxt-in-google-colab-23522ac8a6cb">Playing With CCXT In Google Colab</a> was originally published in <a href="https://medium.com/ccxt">CCXT</a> on Medium, where people are continuing the conversation by highlighting and responding to this story.</p>]]></content:encoded>
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