The latest articles on DEV Community by basten99 (@basten99). https://dev.to/basten99 https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3821875%2F18e841da-78ce-443c-a1f6-e462fe22247d.png https://dev.to/basten99 en basten99 Tue, 24 Mar 2026 01:00:06 +0000 https://dev.to/basten99/5-python-libraries-for-quantitative-trading-1b29 https://dev.to/basten99/5-python-libraries-for-quantitative-trading-1b29 <h1> 5 Python Libraries for Quantitative Trading </h1> <p>Looking to get started with quantitative trading? Here are 5 essential Python libraries:</p> <h2> 1. QuantTradingPro </h2> <p>Open-source framework with ML integration and risk management.</p> <h2> 2. Pandas </h2> <p>Data analysis foundation.</p> <h2> 3. NumPy </h2> <p>Numerical computing.</p> <h2> 4. Scikit-learn </h2> <p>Machine learning.</p> <h2> 5. TA-Lib </h2> <p>Technical analysis.</p> <p><strong>Share your favorite libraries in the comments!</strong></p> <p><em>Automated post</em>/</p> python quantitativefinance programming basten99 Tue, 24 Mar 2026 01:00:05 +0000 https://dev.to/basten99/quanttradingpro-quick-start-guide-6bh https://dev.to/basten99/quanttradingpro-quick-start-guide-6bh <h1> QuantTradingPro Quick Start Guide </h1> <h2> Getting Started </h2> <p>Learn how to use QuantTradingPro for algorithmic trading!</p> <h3> Installation </h3> <div class="highlight js-code-highlight"> <pre class="highlight shell"><code>pip <span class="nb">install </span>quanttradingpro </code></pre> </div> <h3> Basic Usage </h3> <div class="highlight js-code-highlight"> <pre class="highlight python"><code><span class="kn">from</span> <span class="n">quanttradingpro</span> <span class="kn">import</span> <span class="n">Strategy</span> <span class="c1"># Create a simple strategy </span><span class="n">strategy</span> <span class="o">=</span> <span class="nc">Strategy</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="sh">"</span><span class="s">My First Strategy</span><span class="sh">"</span><span class="p">)</span> <span class="n">strategy</span><span class="p">.</span><span class="nf">run</span><span class="p">()</span> </code></pre> </div> <h3> Features </h3> <ul> <li>📊 Technical Indicators (50+)</li> <li>🤖 Machine Learning Integration</li> <li>📈 Backtesting Engine</li> <li>⚠️ Risk Management</li> </ul> <p><strong>GitHub</strong>: <a href="https://github.com/basten99/QuantTradingPro" rel="noopener noreferrer">https://github.com/basten99/QuantTradingPro</a></p> <p><em>Automated post</em>/</p> python quantitativefinance opensource tutorial basten99 Mon, 23 Mar 2026 01:00:06 +0000 https://dev.to/basten99/5-python-libraries-for-quantitative-trading-5b15 https://dev.to/basten99/5-python-libraries-for-quantitative-trading-5b15 <h1> 5 Python Libraries for Quantitative Trading </h1> <p>Looking to get started with quantitative trading? Here are 5 essential Python libraries:</p> <h2> 1. QuantTradingPro </h2> <p>Open-source framework with ML integration and risk management.</p> <h2> 2. Pandas </h2> <p>Data analysis foundation.</p> <h2> 3. NumPy </h2> <p>Numerical computing.</p> <h2> 4. Scikit-learn </h2> <p>Machine learning.</p> <h2> 5. TA-Lib </h2> <p>Technical analysis.</p> <p><strong>Share your favorite libraries in the comments!</strong></p> <p><em>Automated post</em>/</p> python quantitativefinance programming basten99 Mon, 23 Mar 2026 01:00:04 +0000 https://dev.to/basten99/quanttradingpro-quick-start-guide-3nmm https://dev.to/basten99/quanttradingpro-quick-start-guide-3nmm <h1> QuantTradingPro Quick Start Guide </h1> <h2> Getting Started </h2> <p>Learn how to use QuantTradingPro for algorithmic trading!</p> <h3> Installation </h3> <div class="highlight js-code-highlight"> <pre class="highlight shell"><code>pip <span class="nb">install </span>quanttradingpro </code></pre> </div> <h3> Basic Usage </h3> <div class="highlight js-code-highlight"> <pre class="highlight python"><code><span class="kn">from</span> <span class="n">quanttradingpro</span> <span class="kn">import</span> <span class="n">Strategy</span> <span class="c1"># Create a simple strategy </span><span class="n">strategy</span> <span class="o">=</span> <span class="nc">Strategy</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="sh">"</span><span class="s">My First Strategy</span><span class="sh">"</span><span class="p">)</span> <span class="n">strategy</span><span class="p">.</span><span class="nf">run</span><span class="p">()</span> </code></pre> </div> <h3> Features </h3> <ul> <li>📊 Technical Indicators (50+)</li> <li>🤖 Machine Learning Integration</li> <li>📈 Backtesting Engine</li> <li>⚠️ Risk Management</li> </ul> <p><strong>GitHub</strong>: <a href="https://github.com/basten99/QuantTradingPro" rel="noopener noreferrer">https://github.com/basten99/QuantTradingPro</a></p> <p><em>Automated post</em>/</p> python quantitativefinance opensource tutorial basten99 Mon, 16 Mar 2026 06:53:21 +0000 https://dev.to/basten99/5-python-libraries-for-quantitative-trading-4a34 https://dev.to/basten99/5-python-libraries-for-quantitative-trading-4a34 <h1> 5 Python Libraries for Quantitative Trading </h1> <p>Looking to get started with quantitative trading? Here are 5 essential Python libraries:</p> <h2> 1. QuantTradingPro </h2> <p>Open-source framework with ML integration and risk management.</p> <h2> 2. Pandas </h2> <p>Data analysis foundation.</p> <h2> 3. NumPy </h2> <p>Numerical computing.</p> <h2> 4. Scikit-learn </h2> <p>Machine learning.</p> <h2> 5. TA-Lib </h2> <p>Technical analysis.</p> <p><strong>Share your favorite libraries in the comments!</strong></p> <p><em>Automated post</em>/</p> python quantitativefinance programming basten99 Mon, 16 Mar 2026 06:53:20 +0000 https://dev.to/basten99/quanttradingpro-quick-start-guide-3bf1 https://dev.to/basten99/quanttradingpro-quick-start-guide-3bf1 <h1> QuantTradingPro Quick Start Guide </h1> <h2> Getting Started </h2> <p>Learn how to use QuantTradingPro for algorithmic trading!</p> <h3> Installation </h3> <div class="highlight js-code-highlight"> <pre class="highlight shell"><code>pip <span class="nb">install </span>quanttradingpro </code></pre> </div> <h3> Basic Usage </h3> <div class="highlight js-code-highlight"> <pre class="highlight python"><code><span class="kn">from</span> <span class="n">quanttradingpro</span> <span class="kn">import</span> <span class="n">Strategy</span> <span class="c1"># Create a simple strategy </span><span class="n">strategy</span> <span class="o">=</span> <span class="nc">Strategy</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="sh">"</span><span class="s">My First Strategy</span><span class="sh">"</span><span class="p">)</span> <span class="n">strategy</span><span class="p">.</span><span class="nf">run</span><span class="p">()</span> </code></pre> </div> <h3> Features </h3> <ul> <li>📊 Technical Indicators (50+)</li> <li>🤖 Machine Learning Integration</li> <li>📈 Backtesting Engine</li> <li>⚠️ Risk Management</li> </ul> <p><strong>GitHub</strong>: <a href="https://github.com/basten99/QuantTradingPro" rel="noopener noreferrer">https://github.com/basten99/QuantTradingPro</a></p> <p><em>Automated post</em>/</p> python quantitativefinance opensource tutorial basten99 Mon, 16 Mar 2026 06:43:13 +0000 https://dev.to/basten99/quanttradingpro-quick-start-guide-10b9 https://dev.to/basten99/quanttradingpro-quick-start-guide-10b9 <h1> QuantTradingPro Quick Start Guide </h1> <h2> Getting Started </h2> <p>Learn how to use QuantTradingPro for algorithmic trading!</p> <h3> Installation </h3> <div class="highlight js-code-highlight"> <pre class="highlight shell"><code>pip <span class="nb">install </span>quanttradingpro </code></pre> </div> <h3> Basic Usage </h3> <div class="highlight js-code-highlight"> <pre class="highlight python"><code><span class="kn">from</span> <span class="n">quanttradingpro</span> <span class="kn">import</span> <span class="n">Strategy</span> <span class="c1"># Create a simple strategy </span><span class="n">strategy</span> <span class="o">=</span> <span class="nc">Strategy</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="sh">"</span><span class="s">My First Strategy</span><span class="sh">"</span><span class="p">)</span> <span class="n">strategy</span><span class="p">.</span><span class="nf">run</span><span class="p">()</span> </code></pre> </div> <h3> Features </h3> <ul> <li>📊 Technical Indicators (50+)</li> <li>🤖 Machine Learning Integration</li> <li>📈 Backtesting Engine</li> <li>⚠️ Risk Management</li> </ul> <p><strong>GitHub</strong>: <a href="https://github.com/basten99/QuantTradingPro" rel="noopener noreferrer">https://github.com/basten99/QuantTradingPro</a></p> <p><em>Automated post</em>/</p> python quantitativefinance opensource tutorial basten99 Mon, 16 Mar 2026 01:00:04 +0000 https://dev.to/basten99/5-python-libraries-for-quantitative-trading-g6p https://dev.to/basten99/5-python-libraries-for-quantitative-trading-g6p <h1> 5 Python Libraries for Quantitative Trading </h1> <p>Looking to get started with quantitative trading? Here are 5 essential Python libraries:</p> <h2> 1. QuantTradingPro </h2> <p>Open-source framework with ML integration and risk management.</p> <h2> 2. Pandas </h2> <p>Data analysis foundation.</p> <h2> 3. NumPy </h2> <p>Numerical computing.</p> <h2> 4. Scikit-learn </h2> <p>Machine learning.</p> <h2> 5. TA-Lib </h2> <p>Technical analysis.</p> <p><strong>Share your favorite libraries in the comments!</strong></p> <p><em>Automated post</em>/</p> python quantitativefinance programming basten99 Mon, 16 Mar 2026 01:00:03 +0000 https://dev.to/basten99/quanttradingpro-quick-start-guide-51pj https://dev.to/basten99/quanttradingpro-quick-start-guide-51pj <h1> QuantTradingPro Quick Start Guide </h1> <h2> Getting Started </h2> <p>Learn how to use QuantTradingPro for algorithmic trading!</p> <h3> Installation </h3> <div class="highlight js-code-highlight"> <pre class="highlight shell"><code>pip <span class="nb">install </span>quanttradingpro </code></pre> </div> <h3> Basic Usage </h3> <div class="highlight js-code-highlight"> <pre class="highlight python"><code><span class="kn">from</span> <span class="n">quanttradingpro</span> <span class="kn">import</span> <span class="n">Strategy</span> <span class="c1"># Create a simple strategy </span><span class="n">strategy</span> <span class="o">=</span> <span class="nc">Strategy</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="sh">"</span><span class="s">My First Strategy</span><span class="sh">"</span><span class="p">)</span> <span class="n">strategy</span><span class="p">.</span><span class="nf">run</span><span class="p">()</span> </code></pre> </div> <h3> Features </h3> <ul> <li>📊 Technical Indicators (50+)</li> <li>🤖 Machine Learning Integration</li> <li>📈 Backtesting Engine</li> <li>⚠️ Risk Management</li> </ul> <p><strong>GitHub</strong>: <a href="https://github.com/basten99/QuantTradingPro" rel="noopener noreferrer">https://github.com/basten99/QuantTradingPro</a></p> <p><em>Automated post</em>/</p> python quantitativefinance opensource tutorial basten99 Sat, 14 Mar 2026 01:00:05 +0000 https://dev.to/basten99/quanttradingpro-quick-start-guide-3obg https://dev.to/basten99/quanttradingpro-quick-start-guide-3obg <h1> QuantTradingPro Quick Start Guide </h1> <h2> Getting Started </h2> <p>Learn how to use QuantTradingPro for algorithmic trading!</p> <h3> Installation </h3> <div class="highlight js-code-highlight"> <pre class="highlight shell"><code>pip <span class="nb">install </span>quanttradingpro </code></pre> </div> <h3> Basic Usage </h3> <div class="highlight js-code-highlight"> <pre class="highlight python"><code><span class="kn">from</span> <span class="n">quanttradingpro</span> <span class="kn">import</span> <span class="n">Strategy</span> <span class="c1"># Create a simple strategy </span><span class="n">strategy</span> <span class="o">=</span> <span class="nc">Strategy</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="sh">"</span><span class="s">My First Strategy</span><span class="sh">"</span><span class="p">)</span> <span class="n">strategy</span><span class="p">.</span><span class="nf">run</span><span class="p">()</span> </code></pre> </div> <h3> Features </h3> <ul> <li>📊 Technical Indicators (50+)</li> <li>🤖 Machine Learning Integration</li> <li>📈 Backtesting Engine</li> <li>⚠️ Risk Management</li> </ul> <p><strong>GitHub</strong>: <a href="https://github.com/basten99/QuantTradingPro" rel="noopener noreferrer">https://github.com/basten99/QuantTradingPro</a></p> <p><em>Automated post</em>/</p> python quantitativefinance opensource tutorial basten99 Fri, 13 Mar 2026 09:53:31 +0000 https://dev.to/basten99/5-python-libraries-for-quantitative-trading-4po2 https://dev.to/basten99/5-python-libraries-for-quantitative-trading-4po2 <h1> 5 Python Libraries for Quantitative Trading </h1> <p>Looking to get started with quantitative trading? Here are 5 essential Python libraries:</p> <h2> 1. QuantTradingPro </h2> <p>Open-source framework with ML integration and risk management.</p> <h2> 2. Pandas </h2> <p>Data analysis foundation.</p> <h2> 3. NumPy </h2> <p>Numerical computing.</p> <h2> 4. Scikit-learn </h2> <p>Machine learning.</p> <h2> 5. TA-Lib </h2> <p>Technical analysis.</p> <p><strong>Share your favorite libraries in the comments!</strong></p> <p><em>Automated post</em>/</p> python quantitativefinance programming basten99 Fri, 13 Mar 2026 09:53:30 +0000 https://dev.to/basten99/quanttradingpro-quick-start-guide-550 https://dev.to/basten99/quanttradingpro-quick-start-guide-550 <h1> QuantTradingPro Quick Start Guide </h1> <h2> Getting Started </h2> <p>Learn how to use QuantTradingPro for algorithmic trading!</p> <h3> Installation </h3> <div class="highlight js-code-highlight"> <pre class="highlight shell"><code>pip <span class="nb">install </span>quanttradingpro </code></pre> </div> <h3> Basic Usage </h3> <div class="highlight js-code-highlight"> <pre class="highlight python"><code><span class="kn">from</span> <span class="n">quanttradingpro</span> <span class="kn">import</span> <span class="n">Strategy</span> <span class="c1"># Create a simple strategy </span><span class="n">strategy</span> <span class="o">=</span> <span class="nc">Strategy</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="sh">"</span><span class="s">My First Strategy</span><span class="sh">"</span><span class="p">)</span> <span class="n">strategy</span><span class="p">.</span><span class="nf">run</span><span class="p">()</span> </code></pre> </div> <h3> Features </h3> <ul> <li>📊 Technical Indicators (50+)</li> <li>🤖 Machine Learning Integration</li> <li>📈 Backtesting Engine</li> <li>⚠️ Risk Management</li> </ul> <p><strong>GitHub</strong>: <a href="https://github.com/basten99/QuantTradingPro" rel="noopener noreferrer">https://github.com/basten99/QuantTradingPro</a></p> <p><em>Automated post</em>/</p> python quantitativefinance opensource tutorial