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<h1 id="analyzing-financial-data-with-ai-agents-using-swarms-framework">Analyzing Financial Data with AI Agents using Swarms Framework<a class="headerlink" href="#analyzing-financial-data-with-ai-agents-using-swarms-framework" title="Permanent link">&para;</a></h1>
<p>In the rapidly evolving landscape of quantitative finance, the integration of artificial intelligence with financial data analysis has become increasingly crucial. This blog post will explore how to leverage the power of AI agents, specifically using the Swarms framework, to analyze financial data from various top-tier data providers. We'll demonstrate how to connect these agents with different financial APIs, enabling sophisticated analysis and decision-making processes.</p>
<h2 id="table-of-contents">Table of Contents<a class="headerlink" href="#table-of-contents" title="Permanent link">&para;</a></h2>
<ol>
<li><a href="#introduction-to-swarms-framework">Introduction to Swarms Framework</a></li>
<li><a href="#setting-up-the-environment">Setting Up the Environment</a></li>
<li><a href="#connecting-ai-agents-with-financial-data-providers">Connecting AI Agents with Financial Data Providers</a></li>
<li><a href="#polygonio">Polygon.io</a></li>
<li><a href="#alpha-vantage">Alpha Vantage</a></li>
<li><a href="#yahoo-finance">Yahoo Finance</a></li>
<li><a href="#iex-cloud">IEX Cloud</a></li>
<li><a href="#finnhub">Finnhub</a></li>
<li><a href="#advanced-analysis-techniques">Advanced Analysis Techniques</a></li>
<li><a href="#best-practices-and-considerations">Best Practices and Considerations</a></li>
<li><a href="#conclusion">Conclusion</a></li>
</ol>
<h2 id="introduction-to-swarms-framework">Introduction to Swarms Framework<a class="headerlink" href="#introduction-to-swarms-framework" title="Permanent link">&para;</a></h2>
<p>The Swarms framework is a powerful tool for building and deploying AI agents that can interact with various data sources and perform complex analyses. In the context of financial data analysis, Swarms can be used to create intelligent agents that can process large volumes of financial data, identify patterns, and make data-driven decisions. Explore our github for examples, applications, and more.</p>
<h2 id="setting-up-the-environment">Setting Up the Environment<a class="headerlink" href="#setting-up-the-environment" title="Permanent link">&para;</a></h2>
<p>Before we dive into connecting AI agents with financial data providers, let's set up our environment:</p>
<ol>
<li>Install the Swarms framework:</li>
</ol>
<div class="language-bash highlight"><pre><span></span><code><span id="__span-0-1"><a id="__codelineno-0-1" name="__codelineno-0-1" href="#__codelineno-0-1"></a>pip<span class="w"> </span>install<span class="w"> </span>-U<span class="w"> </span>swarms
</span></code></pre></div>
<ol>
<li>Install additional required libraries:</li>
</ol>
<div class="language-bash highlight"><pre><span></span><code><span id="__span-1-1"><a id="__codelineno-1-1" name="__codelineno-1-1" href="#__codelineno-1-1"></a>pip<span class="w"> </span>install<span class="w"> </span>requests<span class="w"> </span>pandas<span class="w"> </span>numpy<span class="w"> </span>matplotlib
</span></code></pre></div>
<ol>
<li>Set up your API keys for the various financial data providers. It's recommended to use environment variables or a secure configuration file to store these keys.</li>
</ol>
<h2 id="connecting-ai-agents-with-financial-data-providers">Connecting AI Agents with Financial Data Providers<a class="headerlink" href="#connecting-ai-agents-with-financial-data-providers" title="Permanent link">&para;</a></h2>
<p>Now, let's explore how to connect AI agents using the Swarms framework with different financial data providers.</p>
<h3 id="polygonio">Polygon.io<a class="headerlink" href="#polygonio" title="Permanent link">&para;</a></h3>
<p>First, we'll create an AI agent that can fetch and analyze stock data from Polygon.io.</p>
<div class="language-python highlight"><pre><span></span><code><span id="__span-2-1"><a id="__codelineno-2-1" name="__codelineno-2-1" href="#__codelineno-2-1"></a><span class="kn">import</span><span class="w"> </span><span class="nn">os</span>
</span><span id="__span-2-2"><a id="__codelineno-2-2" name="__codelineno-2-2" href="#__codelineno-2-2"></a><span class="kn">from</span><span class="w"> </span><span class="nn">swarms</span><span class="w"> </span><span class="kn">import</span> <span class="n">Agent</span>
</span><span id="__span-2-3"><a id="__codelineno-2-3" name="__codelineno-2-3" href="#__codelineno-2-3"></a><span class="kn">from</span><span class="w"> </span><span class="nn">swarms.models</span><span class="w"> </span><span class="kn">import</span> <span class="n">OpenAIChat</span>
</span><span id="__span-2-4"><a id="__codelineno-2-4" name="__codelineno-2-4" href="#__codelineno-2-4"></a><span class="kn">from</span><span class="w"> </span><span class="nn">dotenv</span><span class="w"> </span><span class="kn">import</span> <span class="n">load_dotenv</span>
</span><span id="__span-2-5"><a id="__codelineno-2-5" name="__codelineno-2-5" href="#__codelineno-2-5"></a><span class="kn">import</span><span class="w"> </span><span class="nn">requests</span>
</span><span id="__span-2-6"><a id="__codelineno-2-6" name="__codelineno-2-6" href="#__codelineno-2-6"></a><span class="kn">import</span><span class="w"> </span><span class="nn">pandas</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pd</span>
</span><span id="__span-2-7"><a id="__codelineno-2-7" name="__codelineno-2-7" href="#__codelineno-2-7"></a>
</span><span id="__span-2-8"><a id="__codelineno-2-8" name="__codelineno-2-8" href="#__codelineno-2-8"></a><span class="n">load_dotenv</span><span class="p">()</span>
</span><span id="__span-2-9"><a id="__codelineno-2-9" name="__codelineno-2-9" href="#__codelineno-2-9"></a>
</span><span id="__span-2-10"><a id="__codelineno-2-10" name="__codelineno-2-10" href="#__codelineno-2-10"></a><span class="c1"># Polygon.io API setup</span>
</span><span id="__span-2-11"><a id="__codelineno-2-11" name="__codelineno-2-11" href="#__codelineno-2-11"></a><span class="n">POLYGON_API_KEY</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getenv</span><span class="p">(</span><span class="s2">&quot;POLYGON_API_KEY&quot;</span><span class="p">)</span>
</span><span id="__span-2-12"><a id="__codelineno-2-12" name="__codelineno-2-12" href="#__codelineno-2-12"></a><span class="n">POLYGON_BASE_URL</span> <span class="o">=</span> <span class="s2">&quot;https://api.polygon.io/v2&quot;</span>
</span><span id="__span-2-13"><a id="__codelineno-2-13" name="__codelineno-2-13" href="#__codelineno-2-13"></a>
</span><span id="__span-2-14"><a id="__codelineno-2-14" name="__codelineno-2-14" href="#__codelineno-2-14"></a><span class="c1"># OpenAI API setup</span>
</span><span id="__span-2-15"><a id="__codelineno-2-15" name="__codelineno-2-15" href="#__codelineno-2-15"></a><span class="n">OPENAI_API_KEY</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getenv</span><span class="p">(</span><span class="s2">&quot;OPENAI_API_KEY&quot;</span><span class="p">)</span>
</span><span id="__span-2-16"><a id="__codelineno-2-16" name="__codelineno-2-16" href="#__codelineno-2-16"></a>
</span><span id="__span-2-17"><a id="__codelineno-2-17" name="__codelineno-2-17" href="#__codelineno-2-17"></a><span class="c1"># Create an instance of the OpenAIChat class</span>
</span><span id="__span-2-18"><a id="__codelineno-2-18" name="__codelineno-2-18" href="#__codelineno-2-18"></a><span class="n">model</span> <span class="o">=</span> <span class="n">OpenAIChat</span><span class="p">(</span>
</span><span id="__span-2-19"><a id="__codelineno-2-19" name="__codelineno-2-19" href="#__codelineno-2-19"></a> <span class="n">openai_api_key</span><span class="o">=</span><span class="n">OPENAI_API_KEY</span><span class="p">,</span>
</span><span id="__span-2-20"><a id="__codelineno-2-20" name="__codelineno-2-20" href="#__codelineno-2-20"></a> <span class="n">model_name</span><span class="o">=</span><span class="s2">&quot;gpt-4&quot;</span><span class="p">,</span>
</span><span id="__span-2-21"><a id="__codelineno-2-21" name="__codelineno-2-21" href="#__codelineno-2-21"></a> <span class="n">temperature</span><span class="o">=</span><span class="mf">0.1</span>
</span><span id="__span-2-22"><a id="__codelineno-2-22" name="__codelineno-2-22" href="#__codelineno-2-22"></a><span class="p">)</span>
</span><span id="__span-2-23"><a id="__codelineno-2-23" name="__codelineno-2-23" href="#__codelineno-2-23"></a>
</span><span id="__span-2-24"><a id="__codelineno-2-24" name="__codelineno-2-24" href="#__codelineno-2-24"></a><span class="c1"># Initialize the agent</span>
</span><span id="__span-2-25"><a id="__codelineno-2-25" name="__codelineno-2-25" href="#__codelineno-2-25"></a><span class="n">agent</span> <span class="o">=</span> <span class="n">Agent</span><span class="p">(</span>
</span><span id="__span-2-26"><a id="__codelineno-2-26" name="__codelineno-2-26" href="#__codelineno-2-26"></a> <span class="n">agent_name</span><span class="o">=</span><span class="s2">&quot;Financial-Analysis-Agent&quot;</span><span class="p">,</span>
</span><span id="__span-2-27"><a id="__codelineno-2-27" name="__codelineno-2-27" href="#__codelineno-2-27"></a> <span class="n">system_prompt</span><span class="o">=</span><span class="s2">&quot;You are a financial analysis AI assistant. Your task is to analyze stock data and provide insights.&quot;</span><span class="p">,</span>
</span><span id="__span-2-28"><a id="__codelineno-2-28" name="__codelineno-2-28" href="#__codelineno-2-28"></a> <span class="n">llm</span><span class="o">=</span><span class="n">model</span><span class="p">,</span>
</span><span id="__span-2-29"><a id="__codelineno-2-29" name="__codelineno-2-29" href="#__codelineno-2-29"></a> <span class="n">max_loops</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
</span><span id="__span-2-30"><a id="__codelineno-2-30" name="__codelineno-2-30" href="#__codelineno-2-30"></a> <span class="n">dashboard</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
</span><span id="__span-2-31"><a id="__codelineno-2-31" name="__codelineno-2-31" href="#__codelineno-2-31"></a> <span class="n">verbose</span><span class="o">=</span><span class="kc">True</span>
</span><span id="__span-2-32"><a id="__codelineno-2-32" name="__codelineno-2-32" href="#__codelineno-2-32"></a><span class="p">)</span>
</span><span id="__span-2-33"><a id="__codelineno-2-33" name="__codelineno-2-33" href="#__codelineno-2-33"></a>
</span><span id="__span-2-34"><a id="__codelineno-2-34" name="__codelineno-2-34" href="#__codelineno-2-34"></a><span class="k">def</span><span class="w"> </span><span class="nf">get_stock_data</span><span class="p">(</span><span class="n">symbol</span><span class="p">,</span> <span class="n">from_date</span><span class="p">,</span> <span class="n">to_date</span><span class="p">):</span>
</span><span id="__span-2-35"><a id="__codelineno-2-35" name="__codelineno-2-35" href="#__codelineno-2-35"></a> <span class="n">endpoint</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="n">POLYGON_BASE_URL</span><span class="si">}</span><span class="s2">/aggs/ticker/</span><span class="si">{</span><span class="n">symbol</span><span class="si">}</span><span class="s2">/range/1/day/</span><span class="si">{</span><span class="n">from_date</span><span class="si">}</span><span class="s2">/</span><span class="si">{</span><span class="n">to_date</span><span class="si">}</span><span class="s2">&quot;</span>
</span><span id="__span-2-36"><a id="__codelineno-2-36" name="__codelineno-2-36" href="#__codelineno-2-36"></a> <span class="n">params</span> <span class="o">=</span> <span class="p">{</span>
</span><span id="__span-2-37"><a id="__codelineno-2-37" name="__codelineno-2-37" href="#__codelineno-2-37"></a> <span class="s1">&#39;apiKey&#39;</span><span class="p">:</span> <span class="n">POLYGON_API_KEY</span><span class="p">,</span>
</span><span id="__span-2-38"><a id="__codelineno-2-38" name="__codelineno-2-38" href="#__codelineno-2-38"></a> <span class="s1">&#39;adjusted&#39;</span><span class="p">:</span> <span class="s1">&#39;true&#39;</span>
</span><span id="__span-2-39"><a id="__codelineno-2-39" name="__codelineno-2-39" href="#__codelineno-2-39"></a> <span class="p">}</span>
</span><span id="__span-2-40"><a id="__codelineno-2-40" name="__codelineno-2-40" href="#__codelineno-2-40"></a> <span class="n">response</span> <span class="o">=</span> <span class="n">requests</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">endpoint</span><span class="p">,</span> <span class="n">params</span><span class="o">=</span><span class="n">params</span><span class="p">)</span>
</span><span id="__span-2-41"><a id="__codelineno-2-41" name="__codelineno-2-41" href="#__codelineno-2-41"></a> <span class="n">data</span> <span class="o">=</span> <span class="n">response</span><span class="o">.</span><span class="n">json</span><span class="p">()</span>
</span><span id="__span-2-42"><a id="__codelineno-2-42" name="__codelineno-2-42" href="#__codelineno-2-42"></a> <span class="k">return</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;results&#39;</span><span class="p">])</span>
</span><span id="__span-2-43"><a id="__codelineno-2-43" name="__codelineno-2-43" href="#__codelineno-2-43"></a>
</span><span id="__span-2-44"><a id="__codelineno-2-44" name="__codelineno-2-44" href="#__codelineno-2-44"></a><span class="c1"># Example usage</span>
</span><span id="__span-2-45"><a id="__codelineno-2-45" name="__codelineno-2-45" href="#__codelineno-2-45"></a><span class="n">symbol</span> <span class="o">=</span> <span class="s2">&quot;AAPL&quot;</span>
</span><span id="__span-2-46"><a id="__codelineno-2-46" name="__codelineno-2-46" href="#__codelineno-2-46"></a><span class="n">from_date</span> <span class="o">=</span> <span class="s2">&quot;2023-01-01&quot;</span>
</span><span id="__span-2-47"><a id="__codelineno-2-47" name="__codelineno-2-47" href="#__codelineno-2-47"></a><span class="n">to_date</span> <span class="o">=</span> <span class="s2">&quot;2023-12-31&quot;</span>
</span><span id="__span-2-48"><a id="__codelineno-2-48" name="__codelineno-2-48" href="#__codelineno-2-48"></a>
</span><span id="__span-2-49"><a id="__codelineno-2-49" name="__codelineno-2-49" href="#__codelineno-2-49"></a><span class="n">stock_data</span> <span class="o">=</span> <span class="n">get_stock_data</span><span class="p">(</span><span class="n">symbol</span><span class="p">,</span> <span class="n">from_date</span><span class="p">,</span> <span class="n">to_date</span><span class="p">)</span>
</span><span id="__span-2-50"><a id="__codelineno-2-50" name="__codelineno-2-50" href="#__codelineno-2-50"></a>
</span><span id="__span-2-51"><a id="__codelineno-2-51" name="__codelineno-2-51" href="#__codelineno-2-51"></a><span class="n">analysis_request</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">&quot;&quot;&quot;</span>
</span><span id="__span-2-52"><a id="__codelineno-2-52" name="__codelineno-2-52" href="#__codelineno-2-52"></a><span class="s2">Analyze the following stock data for </span><span class="si">{</span><span class="n">symbol</span><span class="si">}</span><span class="s2"> from </span><span class="si">{</span><span class="n">from_date</span><span class="si">}</span><span class="s2"> to </span><span class="si">{</span><span class="n">to_date</span><span class="si">}</span><span class="s2">:</span>
</span><span id="__span-2-53"><a id="__codelineno-2-53" name="__codelineno-2-53" href="#__codelineno-2-53"></a>
</span><span id="__span-2-54"><a id="__codelineno-2-54" name="__codelineno-2-54" href="#__codelineno-2-54"></a><span class="si">{</span><span class="n">stock_data</span><span class="o">.</span><span class="n">to_string</span><span class="p">()</span><span class="si">}</span>
</span><span id="__span-2-55"><a id="__codelineno-2-55" name="__codelineno-2-55" href="#__codelineno-2-55"></a>
</span><span id="__span-2-56"><a id="__codelineno-2-56" name="__codelineno-2-56" href="#__codelineno-2-56"></a><span class="s2">Provide insights on the stock&#39;s performance, including trends, volatility, and any notable events.</span>
</span><span id="__span-2-57"><a id="__codelineno-2-57" name="__codelineno-2-57" href="#__codelineno-2-57"></a><span class="s2">&quot;&quot;&quot;</span>
</span><span id="__span-2-58"><a id="__codelineno-2-58" name="__codelineno-2-58" href="#__codelineno-2-58"></a>
</span><span id="__span-2-59"><a id="__codelineno-2-59" name="__codelineno-2-59" href="#__codelineno-2-59"></a><span class="n">analysis</span> <span class="o">=</span> <span class="n">agent</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">analysis_request</span><span class="p">)</span>
</span><span id="__span-2-60"><a id="__codelineno-2-60" name="__codelineno-2-60" href="#__codelineno-2-60"></a><span class="nb">print</span><span class="p">(</span><span class="n">analysis</span><span class="p">)</span>
</span></code></pre></div>
<p>In this example, we've created an AI agent that can fetch stock data from Polygon.io and perform an analysis based on that data. The agent uses the GPT-4 model to generate insights about the stock's performance.</p>
<h3 id="alpha-vantage">Alpha Vantage<a class="headerlink" href="#alpha-vantage" title="Permanent link">&para;</a></h3>
<p>Next, let's create an agent that can work with Alpha Vantage data to perform fundamental analysis.</p>
<div class="language-python highlight"><pre><span></span><code><span id="__span-3-1"><a id="__codelineno-3-1" name="__codelineno-3-1" href="#__codelineno-3-1"></a><span class="kn">import</span><span class="w"> </span><span class="nn">os</span>
</span><span id="__span-3-2"><a id="__codelineno-3-2" name="__codelineno-3-2" href="#__codelineno-3-2"></a><span class="kn">from</span><span class="w"> </span><span class="nn">swarms</span><span class="w"> </span><span class="kn">import</span> <span class="n">Agent</span>
</span><span id="__span-3-3"><a id="__codelineno-3-3" name="__codelineno-3-3" href="#__codelineno-3-3"></a><span class="kn">from</span><span class="w"> </span><span class="nn">swarms.models</span><span class="w"> </span><span class="kn">import</span> <span class="n">OpenAIChat</span>
</span><span id="__span-3-4"><a id="__codelineno-3-4" name="__codelineno-3-4" href="#__codelineno-3-4"></a><span class="kn">from</span><span class="w"> </span><span class="nn">dotenv</span><span class="w"> </span><span class="kn">import</span> <span class="n">load_dotenv</span>
</span><span id="__span-3-5"><a id="__codelineno-3-5" name="__codelineno-3-5" href="#__codelineno-3-5"></a><span class="kn">import</span><span class="w"> </span><span class="nn">requests</span>
</span><span id="__span-3-6"><a id="__codelineno-3-6" name="__codelineno-3-6" href="#__codelineno-3-6"></a>
</span><span id="__span-3-7"><a id="__codelineno-3-7" name="__codelineno-3-7" href="#__codelineno-3-7"></a><span class="n">load_dotenv</span><span class="p">()</span>
</span><span id="__span-3-8"><a id="__codelineno-3-8" name="__codelineno-3-8" href="#__codelineno-3-8"></a>
</span><span id="__span-3-9"><a id="__codelineno-3-9" name="__codelineno-3-9" href="#__codelineno-3-9"></a><span class="c1"># Alpha Vantage API setup</span>
</span><span id="__span-3-10"><a id="__codelineno-3-10" name="__codelineno-3-10" href="#__codelineno-3-10"></a><span class="n">ALPHA_VANTAGE_API_KEY</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getenv</span><span class="p">(</span><span class="s2">&quot;ALPHA_VANTAGE_API_KEY&quot;</span><span class="p">)</span>
</span><span id="__span-3-11"><a id="__codelineno-3-11" name="__codelineno-3-11" href="#__codelineno-3-11"></a><span class="n">ALPHA_VANTAGE_BASE_URL</span> <span class="o">=</span> <span class="s2">&quot;https://www.alphavantage.co/query&quot;</span>
</span><span id="__span-3-12"><a id="__codelineno-3-12" name="__codelineno-3-12" href="#__codelineno-3-12"></a>
</span><span id="__span-3-13"><a id="__codelineno-3-13" name="__codelineno-3-13" href="#__codelineno-3-13"></a><span class="c1"># OpenAI API setup</span>
</span><span id="__span-3-14"><a id="__codelineno-3-14" name="__codelineno-3-14" href="#__codelineno-3-14"></a><span class="n">OPENAI_API_KEY</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getenv</span><span class="p">(</span><span class="s2">&quot;OPENAI_API_KEY&quot;</span><span class="p">)</span>
</span><span id="__span-3-15"><a id="__codelineno-3-15" name="__codelineno-3-15" href="#__codelineno-3-15"></a>
</span><span id="__span-3-16"><a id="__codelineno-3-16" name="__codelineno-3-16" href="#__codelineno-3-16"></a><span class="c1"># Create an instance of the OpenAIChat class</span>
</span><span id="__span-3-17"><a id="__codelineno-3-17" name="__codelineno-3-17" href="#__codelineno-3-17"></a><span class="n">model</span> <span class="o">=</span> <span class="n">OpenAIChat</span><span class="p">(</span>
</span><span id="__span-3-18"><a id="__codelineno-3-18" name="__codelineno-3-18" href="#__codelineno-3-18"></a> <span class="n">openai_api_key</span><span class="o">=</span><span class="n">OPENAI_API_KEY</span><span class="p">,</span>
</span><span id="__span-3-19"><a id="__codelineno-3-19" name="__codelineno-3-19" href="#__codelineno-3-19"></a> <span class="n">model_name</span><span class="o">=</span><span class="s2">&quot;gpt-4&quot;</span><span class="p">,</span>
</span><span id="__span-3-20"><a id="__codelineno-3-20" name="__codelineno-3-20" href="#__codelineno-3-20"></a> <span class="n">temperature</span><span class="o">=</span><span class="mf">0.1</span>
</span><span id="__span-3-21"><a id="__codelineno-3-21" name="__codelineno-3-21" href="#__codelineno-3-21"></a><span class="p">)</span>
</span><span id="__span-3-22"><a id="__codelineno-3-22" name="__codelineno-3-22" href="#__codelineno-3-22"></a>
</span><span id="__span-3-23"><a id="__codelineno-3-23" name="__codelineno-3-23" href="#__codelineno-3-23"></a><span class="c1"># Initialize the agent</span>
</span><span id="__span-3-24"><a id="__codelineno-3-24" name="__codelineno-3-24" href="#__codelineno-3-24"></a><span class="n">agent</span> <span class="o">=</span> <span class="n">Agent</span><span class="p">(</span>
</span><span id="__span-3-25"><a id="__codelineno-3-25" name="__codelineno-3-25" href="#__codelineno-3-25"></a> <span class="n">agent_name</span><span class="o">=</span><span class="s2">&quot;Fundamental-Analysis-Agent&quot;</span><span class="p">,</span>
</span><span id="__span-3-26"><a id="__codelineno-3-26" name="__codelineno-3-26" href="#__codelineno-3-26"></a> <span class="n">system_prompt</span><span class="o">=</span><span class="s2">&quot;You are a financial analysis AI assistant specializing in fundamental analysis. Your task is to analyze company financials and provide insights.&quot;</span><span class="p">,</span>
</span><span id="__span-3-27"><a id="__codelineno-3-27" name="__codelineno-3-27" href="#__codelineno-3-27"></a> <span class="n">llm</span><span class="o">=</span><span class="n">model</span><span class="p">,</span>
</span><span id="__span-3-28"><a id="__codelineno-3-28" name="__codelineno-3-28" href="#__codelineno-3-28"></a> <span class="n">max_loops</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
</span><span id="__span-3-29"><a id="__codelineno-3-29" name="__codelineno-3-29" href="#__codelineno-3-29"></a> <span class="n">dashboard</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
</span><span id="__span-3-30"><a id="__codelineno-3-30" name="__codelineno-3-30" href="#__codelineno-3-30"></a> <span class="n">verbose</span><span class="o">=</span><span class="kc">True</span>
</span><span id="__span-3-31"><a id="__codelineno-3-31" name="__codelineno-3-31" href="#__codelineno-3-31"></a><span class="p">)</span>
</span><span id="__span-3-32"><a id="__codelineno-3-32" name="__codelineno-3-32" href="#__codelineno-3-32"></a>
</span><span id="__span-3-33"><a id="__codelineno-3-33" name="__codelineno-3-33" href="#__codelineno-3-33"></a><span class="k">def</span><span class="w"> </span><span class="nf">get_income_statement</span><span class="p">(</span><span class="n">symbol</span><span class="p">):</span>
</span><span id="__span-3-34"><a id="__codelineno-3-34" name="__codelineno-3-34" href="#__codelineno-3-34"></a> <span class="n">params</span> <span class="o">=</span> <span class="p">{</span>
</span><span id="__span-3-35"><a id="__codelineno-3-35" name="__codelineno-3-35" href="#__codelineno-3-35"></a> <span class="s1">&#39;function&#39;</span><span class="p">:</span> <span class="s1">&#39;INCOME_STATEMENT&#39;</span><span class="p">,</span>
</span><span id="__span-3-36"><a id="__codelineno-3-36" name="__codelineno-3-36" href="#__codelineno-3-36"></a> <span class="s1">&#39;symbol&#39;</span><span class="p">:</span> <span class="n">symbol</span><span class="p">,</span>
</span><span id="__span-3-37"><a id="__codelineno-3-37" name="__codelineno-3-37" href="#__codelineno-3-37"></a> <span class="s1">&#39;apikey&#39;</span><span class="p">:</span> <span class="n">ALPHA_VANTAGE_API_KEY</span>
</span><span id="__span-3-38"><a id="__codelineno-3-38" name="__codelineno-3-38" href="#__codelineno-3-38"></a> <span class="p">}</span>
</span><span id="__span-3-39"><a id="__codelineno-3-39" name="__codelineno-3-39" href="#__codelineno-3-39"></a> <span class="n">response</span> <span class="o">=</span> <span class="n">requests</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">ALPHA_VANTAGE_BASE_URL</span><span class="p">,</span> <span class="n">params</span><span class="o">=</span><span class="n">params</span><span class="p">)</span>
</span><span id="__span-3-40"><a id="__codelineno-3-40" name="__codelineno-3-40" href="#__codelineno-3-40"></a> <span class="k">return</span> <span class="n">response</span><span class="o">.</span><span class="n">json</span><span class="p">()</span>
</span><span id="__span-3-41"><a id="__codelineno-3-41" name="__codelineno-3-41" href="#__codelineno-3-41"></a>
</span><span id="__span-3-42"><a id="__codelineno-3-42" name="__codelineno-3-42" href="#__codelineno-3-42"></a><span class="c1"># Example usage</span>
</span><span id="__span-3-43"><a id="__codelineno-3-43" name="__codelineno-3-43" href="#__codelineno-3-43"></a><span class="n">symbol</span> <span class="o">=</span> <span class="s2">&quot;MSFT&quot;</span>
</span><span id="__span-3-44"><a id="__codelineno-3-44" name="__codelineno-3-44" href="#__codelineno-3-44"></a>
</span><span id="__span-3-45"><a id="__codelineno-3-45" name="__codelineno-3-45" href="#__codelineno-3-45"></a><span class="n">income_statement</span> <span class="o">=</span> <span class="n">get_income_statement</span><span class="p">(</span><span class="n">symbol</span><span class="p">)</span>
</span><span id="__span-3-46"><a id="__codelineno-3-46" name="__codelineno-3-46" href="#__codelineno-3-46"></a>
</span><span id="__span-3-47"><a id="__codelineno-3-47" name="__codelineno-3-47" href="#__codelineno-3-47"></a><span class="n">analysis_request</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">&quot;&quot;&quot;</span>
</span><span id="__span-3-48"><a id="__codelineno-3-48" name="__codelineno-3-48" href="#__codelineno-3-48"></a><span class="s2">Analyze the following income statement data for </span><span class="si">{</span><span class="n">symbol</span><span class="si">}</span><span class="s2">:</span>
</span><span id="__span-3-49"><a id="__codelineno-3-49" name="__codelineno-3-49" href="#__codelineno-3-49"></a>
</span><span id="__span-3-50"><a id="__codelineno-3-50" name="__codelineno-3-50" href="#__codelineno-3-50"></a><span class="si">{</span><span class="n">income_statement</span><span class="si">}</span>
</span><span id="__span-3-51"><a id="__codelineno-3-51" name="__codelineno-3-51" href="#__codelineno-3-51"></a>
</span><span id="__span-3-52"><a id="__codelineno-3-52" name="__codelineno-3-52" href="#__codelineno-3-52"></a><span class="s2">Provide insights on the company&#39;s financial health, profitability trends, and any notable observations.</span>
</span><span id="__span-3-53"><a id="__codelineno-3-53" name="__codelineno-3-53" href="#__codelineno-3-53"></a><span class="s2">&quot;&quot;&quot;</span>
</span><span id="__span-3-54"><a id="__codelineno-3-54" name="__codelineno-3-54" href="#__codelineno-3-54"></a>
</span><span id="__span-3-55"><a id="__codelineno-3-55" name="__codelineno-3-55" href="#__codelineno-3-55"></a><span class="n">analysis</span> <span class="o">=</span> <span class="n">agent</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">analysis_request</span><span class="p">)</span>
</span><span id="__span-3-56"><a id="__codelineno-3-56" name="__codelineno-3-56" href="#__codelineno-3-56"></a><span class="nb">print</span><span class="p">(</span><span class="n">analysis</span><span class="p">)</span>
</span></code></pre></div>
<p>This example demonstrates an AI agent that can fetch income statement data from Alpha Vantage and perform a fundamental analysis of a company's financials.</p>
<h3 id="yahoo-finance">Yahoo Finance<a class="headerlink" href="#yahoo-finance" title="Permanent link">&para;</a></h3>
<p>Now, let's create an agent that can work with Yahoo Finance data to perform technical analysis.</p>
<div class="language-python highlight"><pre><span></span><code><span id="__span-4-1"><a id="__codelineno-4-1" name="__codelineno-4-1" href="#__codelineno-4-1"></a><span class="kn">import</span><span class="w"> </span><span class="nn">os</span>
</span><span id="__span-4-2"><a id="__codelineno-4-2" name="__codelineno-4-2" href="#__codelineno-4-2"></a><span class="kn">from</span><span class="w"> </span><span class="nn">swarms</span><span class="w"> </span><span class="kn">import</span> <span class="n">Agent</span>
</span><span id="__span-4-3"><a id="__codelineno-4-3" name="__codelineno-4-3" href="#__codelineno-4-3"></a><span class="kn">from</span><span class="w"> </span><span class="nn">swarms.models</span><span class="w"> </span><span class="kn">import</span> <span class="n">OpenAIChat</span>
</span><span id="__span-4-4"><a id="__codelineno-4-4" name="__codelineno-4-4" href="#__codelineno-4-4"></a><span class="kn">from</span><span class="w"> </span><span class="nn">dotenv</span><span class="w"> </span><span class="kn">import</span> <span class="n">load_dotenv</span>
</span><span id="__span-4-5"><a id="__codelineno-4-5" name="__codelineno-4-5" href="#__codelineno-4-5"></a><span class="kn">import</span><span class="w"> </span><span class="nn">yfinance</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">yf</span>
</span><span id="__span-4-6"><a id="__codelineno-4-6" name="__codelineno-4-6" href="#__codelineno-4-6"></a><span class="kn">import</span><span class="w"> </span><span class="nn">pandas</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pd</span>
</span><span id="__span-4-7"><a id="__codelineno-4-7" name="__codelineno-4-7" href="#__codelineno-4-7"></a>
</span><span id="__span-4-8"><a id="__codelineno-4-8" name="__codelineno-4-8" href="#__codelineno-4-8"></a><span class="n">load_dotenv</span><span class="p">()</span>
</span><span id="__span-4-9"><a id="__codelineno-4-9" name="__codelineno-4-9" href="#__codelineno-4-9"></a>
</span><span id="__span-4-10"><a id="__codelineno-4-10" name="__codelineno-4-10" href="#__codelineno-4-10"></a><span class="c1"># OpenAI API setup</span>
</span><span id="__span-4-11"><a id="__codelineno-4-11" name="__codelineno-4-11" href="#__codelineno-4-11"></a><span class="n">OPENAI_API_KEY</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getenv</span><span class="p">(</span><span class="s2">&quot;OPENAI_API_KEY&quot;</span><span class="p">)</span>
</span><span id="__span-4-12"><a id="__codelineno-4-12" name="__codelineno-4-12" href="#__codelineno-4-12"></a>
</span><span id="__span-4-13"><a id="__codelineno-4-13" name="__codelineno-4-13" href="#__codelineno-4-13"></a><span class="c1"># Create an instance of the OpenAIChat class</span>
</span><span id="__span-4-14"><a id="__codelineno-4-14" name="__codelineno-4-14" href="#__codelineno-4-14"></a><span class="n">model</span> <span class="o">=</span> <span class="n">OpenAIChat</span><span class="p">(</span>
</span><span id="__span-4-15"><a id="__codelineno-4-15" name="__codelineno-4-15" href="#__codelineno-4-15"></a> <span class="n">openai_api_key</span><span class="o">=</span><span class="n">OPENAI_API_KEY</span><span class="p">,</span>
</span><span id="__span-4-16"><a id="__codelineno-4-16" name="__codelineno-4-16" href="#__codelineno-4-16"></a> <span class="n">model_name</span><span class="o">=</span><span class="s2">&quot;gpt-4&quot;</span><span class="p">,</span>
</span><span id="__span-4-17"><a id="__codelineno-4-17" name="__codelineno-4-17" href="#__codelineno-4-17"></a> <span class="n">temperature</span><span class="o">=</span><span class="mf">0.1</span>
</span><span id="__span-4-18"><a id="__codelineno-4-18" name="__codelineno-4-18" href="#__codelineno-4-18"></a><span class="p">)</span>
</span><span id="__span-4-19"><a id="__codelineno-4-19" name="__codelineno-4-19" href="#__codelineno-4-19"></a>
</span><span id="__span-4-20"><a id="__codelineno-4-20" name="__codelineno-4-20" href="#__codelineno-4-20"></a><span class="c1"># Initialize the agent</span>
</span><span id="__span-4-21"><a id="__codelineno-4-21" name="__codelineno-4-21" href="#__codelineno-4-21"></a><span class="n">agent</span> <span class="o">=</span> <span class="n">Agent</span><span class="p">(</span>
</span><span id="__span-4-22"><a id="__codelineno-4-22" name="__codelineno-4-22" href="#__codelineno-4-22"></a> <span class="n">agent_name</span><span class="o">=</span><span class="s2">&quot;Technical-Analysis-Agent&quot;</span><span class="p">,</span>
</span><span id="__span-4-23"><a id="__codelineno-4-23" name="__codelineno-4-23" href="#__codelineno-4-23"></a> <span class="n">system_prompt</span><span class="o">=</span><span class="s2">&quot;You are a financial analysis AI assistant specializing in technical analysis. Your task is to analyze stock price data and provide insights on trends and potential trading signals.&quot;</span><span class="p">,</span>
</span><span id="__span-4-24"><a id="__codelineno-4-24" name="__codelineno-4-24" href="#__codelineno-4-24"></a> <span class="n">llm</span><span class="o">=</span><span class="n">model</span><span class="p">,</span>
</span><span id="__span-4-25"><a id="__codelineno-4-25" name="__codelineno-4-25" href="#__codelineno-4-25"></a> <span class="n">max_loops</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
</span><span id="__span-4-26"><a id="__codelineno-4-26" name="__codelineno-4-26" href="#__codelineno-4-26"></a> <span class="n">dashboard</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
</span><span id="__span-4-27"><a id="__codelineno-4-27" name="__codelineno-4-27" href="#__codelineno-4-27"></a> <span class="n">verbose</span><span class="o">=</span><span class="kc">True</span>
</span><span id="__span-4-28"><a id="__codelineno-4-28" name="__codelineno-4-28" href="#__codelineno-4-28"></a><span class="p">)</span>
</span><span id="__span-4-29"><a id="__codelineno-4-29" name="__codelineno-4-29" href="#__codelineno-4-29"></a>
</span><span id="__span-4-30"><a id="__codelineno-4-30" name="__codelineno-4-30" href="#__codelineno-4-30"></a><span class="k">def</span><span class="w"> </span><span class="nf">get_stock_data</span><span class="p">(</span><span class="n">symbol</span><span class="p">,</span> <span class="n">start_date</span><span class="p">,</span> <span class="n">end_date</span><span class="p">):</span>
</span><span id="__span-4-31"><a id="__codelineno-4-31" name="__codelineno-4-31" href="#__codelineno-4-31"></a> <span class="n">stock</span> <span class="o">=</span> <span class="n">yf</span><span class="o">.</span><span class="n">Ticker</span><span class="p">(</span><span class="n">symbol</span><span class="p">)</span>
</span><span id="__span-4-32"><a id="__codelineno-4-32" name="__codelineno-4-32" href="#__codelineno-4-32"></a> <span class="n">data</span> <span class="o">=</span> <span class="n">stock</span><span class="o">.</span><span class="n">history</span><span class="p">(</span><span class="n">start</span><span class="o">=</span><span class="n">start_date</span><span class="p">,</span> <span class="n">end</span><span class="o">=</span><span class="n">end_date</span><span class="p">)</span>
</span><span id="__span-4-33"><a id="__codelineno-4-33" name="__codelineno-4-33" href="#__codelineno-4-33"></a> <span class="k">return</span> <span class="n">data</span>
</span><span id="__span-4-34"><a id="__codelineno-4-34" name="__codelineno-4-34" href="#__codelineno-4-34"></a>
</span><span id="__span-4-35"><a id="__codelineno-4-35" name="__codelineno-4-35" href="#__codelineno-4-35"></a><span class="c1"># Example usage</span>
</span><span id="__span-4-36"><a id="__codelineno-4-36" name="__codelineno-4-36" href="#__codelineno-4-36"></a><span class="n">symbol</span> <span class="o">=</span> <span class="s2">&quot;GOOGL&quot;</span>
</span><span id="__span-4-37"><a id="__codelineno-4-37" name="__codelineno-4-37" href="#__codelineno-4-37"></a><span class="n">start_date</span> <span class="o">=</span> <span class="s2">&quot;2023-01-01&quot;</span>
</span><span id="__span-4-38"><a id="__codelineno-4-38" name="__codelineno-4-38" href="#__codelineno-4-38"></a><span class="n">end_date</span> <span class="o">=</span> <span class="s2">&quot;2023-12-31&quot;</span>
</span><span id="__span-4-39"><a id="__codelineno-4-39" name="__codelineno-4-39" href="#__codelineno-4-39"></a>
</span><span id="__span-4-40"><a id="__codelineno-4-40" name="__codelineno-4-40" href="#__codelineno-4-40"></a><span class="n">stock_data</span> <span class="o">=</span> <span class="n">get_stock_data</span><span class="p">(</span><span class="n">symbol</span><span class="p">,</span> <span class="n">start_date</span><span class="p">,</span> <span class="n">end_date</span><span class="p">)</span>
</span><span id="__span-4-41"><a id="__codelineno-4-41" name="__codelineno-4-41" href="#__codelineno-4-41"></a>
</span><span id="__span-4-42"><a id="__codelineno-4-42" name="__codelineno-4-42" href="#__codelineno-4-42"></a><span class="c1"># Calculate some technical indicators</span>
</span><span id="__span-4-43"><a id="__codelineno-4-43" name="__codelineno-4-43" href="#__codelineno-4-43"></a><span class="n">stock_data</span><span class="p">[</span><span class="s1">&#39;SMA_20&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">stock_data</span><span class="p">[</span><span class="s1">&#39;Close&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">rolling</span><span class="p">(</span><span class="n">window</span><span class="o">=</span><span class="mi">20</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
</span><span id="__span-4-44"><a id="__codelineno-4-44" name="__codelineno-4-44" href="#__codelineno-4-44"></a><span class="n">stock_data</span><span class="p">[</span><span class="s1">&#39;SMA_50&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">stock_data</span><span class="p">[</span><span class="s1">&#39;Close&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">rolling</span><span class="p">(</span><span class="n">window</span><span class="o">=</span><span class="mi">50</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
</span><span id="__span-4-45"><a id="__codelineno-4-45" name="__codelineno-4-45" href="#__codelineno-4-45"></a>
</span><span id="__span-4-46"><a id="__codelineno-4-46" name="__codelineno-4-46" href="#__codelineno-4-46"></a><span class="n">analysis_request</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">&quot;&quot;&quot;</span>
</span><span id="__span-4-47"><a id="__codelineno-4-47" name="__codelineno-4-47" href="#__codelineno-4-47"></a><span class="s2">Analyze the following stock price data and technical indicators for </span><span class="si">{</span><span class="n">symbol</span><span class="si">}</span><span class="s2"> from </span><span class="si">{</span><span class="n">start_date</span><span class="si">}</span><span class="s2"> to </span><span class="si">{</span><span class="n">end_date</span><span class="si">}</span><span class="s2">:</span>
</span><span id="__span-4-48"><a id="__codelineno-4-48" name="__codelineno-4-48" href="#__codelineno-4-48"></a>
</span><span id="__span-4-49"><a id="__codelineno-4-49" name="__codelineno-4-49" href="#__codelineno-4-49"></a><span class="si">{</span><span class="n">stock_data</span><span class="o">.</span><span class="n">tail</span><span class="p">(</span><span class="mi">30</span><span class="p">)</span><span class="o">.</span><span class="n">to_string</span><span class="p">()</span><span class="si">}</span>
</span><span id="__span-4-50"><a id="__codelineno-4-50" name="__codelineno-4-50" href="#__codelineno-4-50"></a>
</span><span id="__span-4-51"><a id="__codelineno-4-51" name="__codelineno-4-51" href="#__codelineno-4-51"></a><span class="s2">Provide insights on the stock&#39;s price trends, potential support and resistance levels, and any notable trading signals based on the moving averages.</span>
</span><span id="__span-4-52"><a id="__codelineno-4-52" name="__codelineno-4-52" href="#__codelineno-4-52"></a><span class="s2">&quot;&quot;&quot;</span>
</span><span id="__span-4-53"><a id="__codelineno-4-53" name="__codelineno-4-53" href="#__codelineno-4-53"></a>
</span><span id="__span-4-54"><a id="__codelineno-4-54" name="__codelineno-4-54" href="#__codelineno-4-54"></a><span class="n">analysis</span> <span class="o">=</span> <span class="n">agent</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">analysis_request</span><span class="p">)</span>
</span><span id="__span-4-55"><a id="__codelineno-4-55" name="__codelineno-4-55" href="#__codelineno-4-55"></a><span class="nb">print</span><span class="p">(</span><span class="n">analysis</span><span class="p">)</span>
</span></code></pre></div>
<p>This example shows an AI agent that can fetch stock price data from Yahoo Finance, calculate some basic technical indicators, and perform a technical analysis.</p>
<h3 id="iex-cloud">IEX Cloud<a class="headerlink" href="#iex-cloud" title="Permanent link">&para;</a></h3>
<p>Let's create an agent that can work with IEX Cloud data to analyze company news sentiment.</p>
<div class="language-python highlight"><pre><span></span><code><span id="__span-5-1"><a id="__codelineno-5-1" name="__codelineno-5-1" href="#__codelineno-5-1"></a><span class="kn">import</span><span class="w"> </span><span class="nn">os</span>
</span><span id="__span-5-2"><a id="__codelineno-5-2" name="__codelineno-5-2" href="#__codelineno-5-2"></a><span class="kn">from</span><span class="w"> </span><span class="nn">swarms</span><span class="w"> </span><span class="kn">import</span> <span class="n">Agent</span>
</span><span id="__span-5-3"><a id="__codelineno-5-3" name="__codelineno-5-3" href="#__codelineno-5-3"></a><span class="kn">from</span><span class="w"> </span><span class="nn">swarms.models</span><span class="w"> </span><span class="kn">import</span> <span class="n">OpenAIChat</span>
</span><span id="__span-5-4"><a id="__codelineno-5-4" name="__codelineno-5-4" href="#__codelineno-5-4"></a><span class="kn">from</span><span class="w"> </span><span class="nn">dotenv</span><span class="w"> </span><span class="kn">import</span> <span class="n">load_dotenv</span>
</span><span id="__span-5-5"><a id="__codelineno-5-5" name="__codelineno-5-5" href="#__codelineno-5-5"></a><span class="kn">import</span><span class="w"> </span><span class="nn">requests</span>
</span><span id="__span-5-6"><a id="__codelineno-5-6" name="__codelineno-5-6" href="#__codelineno-5-6"></a>
</span><span id="__span-5-7"><a id="__codelineno-5-7" name="__codelineno-5-7" href="#__codelineno-5-7"></a><span class="n">load_dotenv</span><span class="p">()</span>
</span><span id="__span-5-8"><a id="__codelineno-5-8" name="__codelineno-5-8" href="#__codelineno-5-8"></a>
</span><span id="__span-5-9"><a id="__codelineno-5-9" name="__codelineno-5-9" href="#__codelineno-5-9"></a><span class="c1"># IEX Cloud API setup</span>
</span><span id="__span-5-10"><a id="__codelineno-5-10" name="__codelineno-5-10" href="#__codelineno-5-10"></a><span class="n">IEX_CLOUD_API_KEY</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getenv</span><span class="p">(</span><span class="s2">&quot;IEX_CLOUD_API_KEY&quot;</span><span class="p">)</span>
</span><span id="__span-5-11"><a id="__codelineno-5-11" name="__codelineno-5-11" href="#__codelineno-5-11"></a><span class="n">IEX_CLOUD_BASE_URL</span> <span class="o">=</span> <span class="s2">&quot;https://cloud.iexapis.com/stable&quot;</span>
</span><span id="__span-5-12"><a id="__codelineno-5-12" name="__codelineno-5-12" href="#__codelineno-5-12"></a>
</span><span id="__span-5-13"><a id="__codelineno-5-13" name="__codelineno-5-13" href="#__codelineno-5-13"></a><span class="c1"># OpenAI API setup</span>
</span><span id="__span-5-14"><a id="__codelineno-5-14" name="__codelineno-5-14" href="#__codelineno-5-14"></a><span class="n">OPENAI_API_KEY</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getenv</span><span class="p">(</span><span class="s2">&quot;OPENAI_API_KEY&quot;</span><span class="p">)</span>
</span><span id="__span-5-15"><a id="__codelineno-5-15" name="__codelineno-5-15" href="#__codelineno-5-15"></a>
</span><span id="__span-5-16"><a id="__codelineno-5-16" name="__codelineno-5-16" href="#__codelineno-5-16"></a><span class="c1"># Create an instance of the OpenAIChat class</span>
</span><span id="__span-5-17"><a id="__codelineno-5-17" name="__codelineno-5-17" href="#__codelineno-5-17"></a><span class="n">model</span> <span class="o">=</span> <span class="n">OpenAIChat</span><span class="p">(</span>
</span><span id="__span-5-18"><a id="__codelineno-5-18" name="__codelineno-5-18" href="#__codelineno-5-18"></a> <span class="n">openai_api_key</span><span class="o">=</span><span class="n">OPENAI_API_KEY</span><span class="p">,</span>
</span><span id="__span-5-19"><a id="__codelineno-5-19" name="__codelineno-5-19" href="#__codelineno-5-19"></a> <span class="n">model_name</span><span class="o">=</span><span class="s2">&quot;gpt-4&quot;</span><span class="p">,</span>
</span><span id="__span-5-20"><a id="__codelineno-5-20" name="__codelineno-5-20" href="#__codelineno-5-20"></a> <span class="n">temperature</span><span class="o">=</span><span class="mf">0.1</span>
</span><span id="__span-5-21"><a id="__codelineno-5-21" name="__codelineno-5-21" href="#__codelineno-5-21"></a><span class="p">)</span>
</span><span id="__span-5-22"><a id="__codelineno-5-22" name="__codelineno-5-22" href="#__codelineno-5-22"></a>
</span><span id="__span-5-23"><a id="__codelineno-5-23" name="__codelineno-5-23" href="#__codelineno-5-23"></a><span class="c1"># Initialize the agent</span>
</span><span id="__span-5-24"><a id="__codelineno-5-24" name="__codelineno-5-24" href="#__codelineno-5-24"></a><span class="n">agent</span> <span class="o">=</span> <span class="n">Agent</span><span class="p">(</span>
</span><span id="__span-5-25"><a id="__codelineno-5-25" name="__codelineno-5-25" href="#__codelineno-5-25"></a> <span class="n">agent_name</span><span class="o">=</span><span class="s2">&quot;News-Sentiment-Analysis-Agent&quot;</span><span class="p">,</span>
</span><span id="__span-5-26"><a id="__codelineno-5-26" name="__codelineno-5-26" href="#__codelineno-5-26"></a> <span class="n">system_prompt</span><span class="o">=</span><span class="s2">&quot;You are a financial analysis AI assistant specializing in news sentiment analysis. Your task is to analyze company news and provide insights on the overall sentiment and potential impact on the stock.&quot;</span><span class="p">,</span>
</span><span id="__span-5-27"><a id="__codelineno-5-27" name="__codelineno-5-27" href="#__codelineno-5-27"></a> <span class="n">llm</span><span class="o">=</span><span class="n">model</span><span class="p">,</span>
</span><span id="__span-5-28"><a id="__codelineno-5-28" name="__codelineno-5-28" href="#__codelineno-5-28"></a> <span class="n">max_loops</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
</span><span id="__span-5-29"><a id="__codelineno-5-29" name="__codelineno-5-29" href="#__codelineno-5-29"></a> <span class="n">dashboard</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
</span><span id="__span-5-30"><a id="__codelineno-5-30" name="__codelineno-5-30" href="#__codelineno-5-30"></a> <span class="n">verbose</span><span class="o">=</span><span class="kc">True</span>
</span><span id="__span-5-31"><a id="__codelineno-5-31" name="__codelineno-5-31" href="#__codelineno-5-31"></a><span class="p">)</span>
</span><span id="__span-5-32"><a id="__codelineno-5-32" name="__codelineno-5-32" href="#__codelineno-5-32"></a>
</span><span id="__span-5-33"><a id="__codelineno-5-33" name="__codelineno-5-33" href="#__codelineno-5-33"></a><span class="k">def</span><span class="w"> </span><span class="nf">get_company_news</span><span class="p">(</span><span class="n">symbol</span><span class="p">,</span> <span class="n">last_n</span><span class="p">):</span>
</span><span id="__span-5-34"><a id="__codelineno-5-34" name="__codelineno-5-34" href="#__codelineno-5-34"></a> <span class="n">endpoint</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="n">IEX_CLOUD_BASE_URL</span><span class="si">}</span><span class="s2">/stock/</span><span class="si">{</span><span class="n">symbol</span><span class="si">}</span><span class="s2">/news/last/</span><span class="si">{</span><span class="n">last_n</span><span class="si">}</span><span class="s2">&quot;</span>
</span><span id="__span-5-35"><a id="__codelineno-5-35" name="__codelineno-5-35" href="#__codelineno-5-35"></a> <span class="n">params</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;token&#39;</span><span class="p">:</span> <span class="n">IEX_CLOUD_API_KEY</span><span class="p">}</span>
</span><span id="__span-5-36"><a id="__codelineno-5-36" name="__codelineno-5-36" href="#__codelineno-5-36"></a> <span class="n">response</span> <span class="o">=</span> <span class="n">requests</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">endpoint</span><span class="p">,</span> <span class="n">params</span><span class="o">=</span><span class="n">params</span><span class="p">)</span>
</span><span id="__span-5-37"><a id="__codelineno-5-37" name="__codelineno-5-37" href="#__codelineno-5-37"></a> <span class="k">return</span> <span class="n">response</span><span class="o">.</span><span class="n">json</span><span class="p">()</span>
</span><span id="__span-5-38"><a id="__codelineno-5-38" name="__codelineno-5-38" href="#__codelineno-5-38"></a>
</span><span id="__span-5-39"><a id="__codelineno-5-39" name="__codelineno-5-39" href="#__codelineno-5-39"></a><span class="c1"># Example usage</span>
</span><span id="__span-5-40"><a id="__codelineno-5-40" name="__codelineno-5-40" href="#__codelineno-5-40"></a><span class="n">symbol</span> <span class="o">=</span> <span class="s2">&quot;TSLA&quot;</span>
</span><span id="__span-5-41"><a id="__codelineno-5-41" name="__codelineno-5-41" href="#__codelineno-5-41"></a><span class="n">last_n</span> <span class="o">=</span> <span class="mi">10</span>
</span><span id="__span-5-42"><a id="__codelineno-5-42" name="__codelineno-5-42" href="#__codelineno-5-42"></a>
</span><span id="__span-5-43"><a id="__codelineno-5-43" name="__codelineno-5-43" href="#__codelineno-5-43"></a><span class="n">news_data</span> <span class="o">=</span> <span class="n">get_company_news</span><span class="p">(</span><span class="n">symbol</span><span class="p">,</span> <span class="n">last_n</span><span class="p">)</span>
</span><span id="__span-5-44"><a id="__codelineno-5-44" name="__codelineno-5-44" href="#__codelineno-5-44"></a>
</span><span id="__span-5-45"><a id="__codelineno-5-45" name="__codelineno-5-45" href="#__codelineno-5-45"></a><span class="n">analysis_request</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">&quot;&quot;&quot;</span>
</span><span id="__span-5-46"><a id="__codelineno-5-46" name="__codelineno-5-46" href="#__codelineno-5-46"></a><span class="s2">Analyze the following recent news articles for </span><span class="si">{</span><span class="n">symbol</span><span class="si">}</span><span class="s2">:</span>
</span><span id="__span-5-47"><a id="__codelineno-5-47" name="__codelineno-5-47" href="#__codelineno-5-47"></a>
</span><span id="__span-5-48"><a id="__codelineno-5-48" name="__codelineno-5-48" href="#__codelineno-5-48"></a><span class="si">{</span><span class="n">news_data</span><span class="si">}</span>
</span><span id="__span-5-49"><a id="__codelineno-5-49" name="__codelineno-5-49" href="#__codelineno-5-49"></a>
</span><span id="__span-5-50"><a id="__codelineno-5-50" name="__codelineno-5-50" href="#__codelineno-5-50"></a><span class="s2">Provide insights on the overall sentiment of the news, potential impact on the stock price, and any notable trends or events mentioned.</span>
</span><span id="__span-5-51"><a id="__codelineno-5-51" name="__codelineno-5-51" href="#__codelineno-5-51"></a><span class="s2">&quot;&quot;&quot;</span>
</span><span id="__span-5-52"><a id="__codelineno-5-52" name="__codelineno-5-52" href="#__codelineno-5-52"></a>
</span><span id="__span-5-53"><a id="__codelineno-5-53" name="__codelineno-5-53" href="#__codelineno-5-53"></a><span class="n">analysis</span> <span class="o">=</span> <span class="n">agent</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">analysis_request</span><span class="p">)</span>
</span><span id="__span-5-54"><a id="__codelineno-5-54" name="__codelineno-5-54" href="#__codelineno-5-54"></a><span class="nb">print</span><span class="p">(</span><span class="n">analysis</span><span class="p">)</span>
</span></code></pre></div>
<p>This example demonstrates an AI agent that can fetch recent news data from IEX Cloud and perform a sentiment analysis on the company news.</p>
<h3 id="finnhub">Finnhub<a class="headerlink" href="#finnhub" title="Permanent link">&para;</a></h3>
<p>Finally, let's create an agent that can work with Finnhub data to analyze earnings estimates and recommendations.</p>
<div class="language-python highlight"><pre><span></span><code><span id="__span-6-1"><a id="__codelineno-6-1" name="__codelineno-6-1" href="#__codelineno-6-1"></a><span class="kn">import</span><span class="w"> </span><span class="nn">os</span>
</span><span id="__span-6-2"><a id="__codelineno-6-2" name="__codelineno-6-2" href="#__codelineno-6-2"></a><span class="kn">from</span><span class="w"> </span><span class="nn">swarms</span><span class="w"> </span><span class="kn">import</span> <span class="n">Agent</span>
</span><span id="__span-6-3"><a id="__codelineno-6-3" name="__codelineno-6-3" href="#__codelineno-6-3"></a><span class="kn">from</span><span class="w"> </span><span class="nn">swarms.models</span><span class="w"> </span><span class="kn">import</span> <span class="n">OpenAIChat</span>
</span><span id="__span-6-4"><a id="__codelineno-6-4" name="__codelineno-6-4" href="#__codelineno-6-4"></a><span class="kn">from</span><span class="w"> </span><span class="nn">dotenv</span><span class="w"> </span><span class="kn">import</span> <span class="n">load_dotenv</span>
</span><span id="__span-6-5"><a id="__codelineno-6-5" name="__codelineno-6-5" href="#__codelineno-6-5"></a><span class="kn">import</span><span class="w"> </span><span class="nn">finnhub</span>
</span><span id="__span-6-6"><a id="__codelineno-6-6" name="__codelineno-6-6" href="#__codelineno-6-6"></a>
</span><span id="__span-6-7"><a id="__codelineno-6-7" name="__codelineno-6-7" href="#__codelineno-6-7"></a><span class="n">load_dotenv</span><span class="p">()</span>
</span><span id="__span-6-8"><a id="__codelineno-6-8" name="__codelineno-6-8" href="#__codelineno-6-8"></a>
</span><span id="__span-6-9"><a id="__codelineno-6-9" name="__codelineno-6-9" href="#__codelineno-6-9"></a><span class="c1"># Finnhub API setup</span>
</span><span id="__span-6-10"><a id="__codelineno-6-10" name="__codelineno-6-10" href="#__codelineno-6-10"></a><span class="n">FINNHUB_API_KEY</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getenv</span><span class="p">(</span><span class="s2">&quot;FINNHUB_API_KEY&quot;</span><span class="p">)</span>
</span><span id="__span-6-11"><a id="__codelineno-6-11" name="__codelineno-6-11" href="#__codelineno-6-11"></a><span class="n">finnhub_client</span> <span class="o">=</span> <span class="n">finnhub</span><span class="o">.</span><span class="n">Client</span><span class="p">(</span><span class="n">api_key</span><span class="o">=</span><span class="n">FINNHUB_API_KEY</span><span class="p">)</span>
</span><span id="__span-6-12"><a id="__codelineno-6-12" name="__codelineno-6-12" href="#__codelineno-6-12"></a>
</span><span id="__span-6-13"><a id="__codelineno-6-13" name="__codelineno-6-13" href="#__codelineno-6-13"></a><span class="c1"># OpenAI API setup</span>
</span><span id="__span-6-14"><a id="__codelineno-6-14" name="__codelineno-6-14" href="#__codelineno-6-14"></a><span class="n">OPENAI_API_KEY</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getenv</span><span class="p">(</span><span class="s2">&quot;OPENAI_API_KEY&quot;</span><span class="p">)</span>
</span><span id="__span-6-15"><a id="__codelineno-6-15" name="__codelineno-6-15" href="#__codelineno-6-15"></a>
</span><span id="__span-6-16"><a id="__codelineno-6-16" name="__codelineno-6-16" href="#__codelineno-6-16"></a><span class="c1"># Create an instance of the OpenAIChat class</span>
</span><span id="__span-6-17"><a id="__codelineno-6-17" name="__codelineno-6-17" href="#__codelineno-6-17"></a><span class="n">model</span> <span class="o">=</span> <span class="n">OpenAIChat</span><span class="p">(</span>
</span><span id="__span-6-18"><a id="__codelineno-6-18" name="__codelineno-6-18" href="#__codelineno-6-18"></a> <span class="n">openai_api_key</span><span class="o">=</span><span class="n">OPENAI_API_KEY</span><span class="p">,</span>
</span><span id="__span-6-19"><a id="__codelineno-6-19" name="__codelineno-6-19" href="#__codelineno-6-19"></a> <span class="n">model_name</span><span class="o">=</span><span class="s2">&quot;gpt-4&quot;</span><span class="p">,</span>
</span><span id="__span-6-20"><a id="__codelineno-6-20" name="__codelineno-6-20" href="#__codelineno-6-20"></a> <span class="n">temperature</span><span class="o">=</span><span class="mf">0.1</span>
</span><span id="__span-6-21"><a id="__codelineno-6-21" name="__codelineno-6-21" href="#__codelineno-6-21"></a><span class="p">)</span>
</span><span id="__span-6-22"><a id="__codelineno-6-22" name="__codelineno-6-22" href="#__codelineno-6-22"></a>
</span><span id="__span-6-23"><a id="__codelineno-6-23" name="__codelineno-6-23" href="#__codelineno-6-23"></a><span class="c1"># Initialize the agent</span>
</span><span id="__span-6-24"><a id="__codelineno-6-24" name="__codelineno-6-24" href="#__codelineno-6-24"></a><span class="n">agent</span> <span class="o">=</span> <span class="n">Agent</span><span class="p">(</span>
</span><span id="__span-6-25"><a id="__codelineno-6-25" name="__codelineno-6-25" href="#__codelineno-6-25"></a> <span class="n">agent_name</span><span class="o">=</span><span class="s2">&quot;Earnings-Analysis-Agent&quot;</span><span class="p">,</span>
</span><span id="__span-6-26"><a id="__codelineno-6-26" name="__codelineno-6-26" href="#__codelineno-6-26"></a> <span class="n">system_prompt</span><span class="o">=</span><span class="s2">&quot;You are a financial analysis AI assistant specializing in earnings analysis. Your task is to analyze earnings estimates and recommendations to provide insights on a company&#39;s financial outlook.&quot;</span><span class="p">,</span>
</span><span id="__span-6-27"><a id="__codelineno-6-27" name="__codelineno-6-27" href="#__codelineno-6-27"></a> <span class="n">llm</span><span class="o">=</span><span class="n">model</span><span class="p">,</span>
</span><span id="__span-6-28"><a id="__codelineno-6-28" name="__codelineno-6-28" href="#__codelineno-6-28"></a> <span class="n">max_loops</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
</span><span id="__span-6-29"><a id="__codelineno-6-29" name="__codelineno-6-29" href="#__codelineno-6-29"></a> <span class="n">dashboard</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
</span><span id="__span-6-30"><a id="__codelineno-6-30" name="__codelineno-6-30" href="#__codelineno-6-30"></a> <span class="n">verbose</span><span class="o">=</span><span class="kc">True</span>
</span><span id="__span-6-31"><a id="__codelineno-6-31" name="__codelineno-6-31" href="#__codelineno-6-31"></a><span class="p">)</span>
</span><span id="__span-6-32"><a id="__codelineno-6-32" name="__codelineno-6-32" href="#__codelineno-6-32"></a>
</span><span id="__span-6-33"><a id="__codelineno-6-33" name="__codelineno-6-33" href="#__codelineno-6-33"></a><span class="k">def</span><span class="w"> </span><span class="nf">get_earnings_estimates</span><span class="p">(</span><span class="n">symbol</span><span class="p">):</span>
</span><span id="__span-6-34"><a id="__codelineno-6-34" name="__codelineno-6-34" href="#__codelineno-6-34"></a> <span class="k">return</span> <span class="n">finnhub_client</span><span class="o">.</span><span class="n">earnings_calendar</span><span class="p">(</span><span class="n">symbol</span><span class="o">=</span><span class="n">symbol</span><span class="p">,</span> <span class="n">from_date</span><span class="o">=</span><span class="s2">&quot;2023-01-01&quot;</span><span class="p">,</span> <span class="n">to_date</span><span class="o">=</span><span class="s2">&quot;2023-12-31&quot;</span><span class="p">)</span>
</span><span id="__span-6-35"><a id="__codelineno-6-35" name="__codelineno-6-35" href="#__codelineno-6-35"></a>
</span><span id="__span-6-36"><a id="__codelineno-6-36" name="__codelineno-6-36" href="#__codelineno-6-36"></a><span class="k">def</span><span class="w"> </span><span class="nf">get_recommendations</span><span class="p">(</span><span class="n">symbol</span><span class="p">):</span>
</span><span id="__span-6-37"><a id="__codelineno-6-37" name="__codelineno-6-37" href="#__codelineno-6-37"></a> <span class="k">return</span> <span class="n">finnhub_client</span><span class="o">.</span><span class="n">recommendation_trends</span><span class="p">(</span><span class="n">symbol</span><span class="p">)</span>
</span><span id="__span-6-38"><a id="__codelineno-6-38" name="__codelineno-6-38" href="#__codelineno-6-38"></a>
</span><span id="__span-6-39"><a id="__codelineno-6-39" name="__codelineno-6-39" href="#__codelineno-6-39"></a><span class="c1"># Example usage</span>
</span><span id="__span-6-40"><a id="__codelineno-6-40" name="__codelineno-6-40" href="#__codelineno-6-40"></a><span class="n">symbol</span> <span class="o">=</span> <span class="s2">&quot;NVDA&quot;</span>
</span><span id="__span-6-41"><a id="__codelineno-6-41" name="__codelineno-6-41" href="#__codelineno-6-41"></a>
</span><span id="__span-6-42"><a id="__codelineno-6-42" name="__codelineno-6-42" href="#__codelineno-6-42"></a><span class="n">earnings_estimates</span> <span class="o">=</span> <span class="n">get_earnings_estimates</span><span class="p">(</span><span class="n">symbol</span><span class="p">)</span>
</span><span id="__span-6-43"><a id="__codelineno-6-43" name="__codelineno-6-43" href="#__codelineno-6-43"></a><span class="n">recommendations</span> <span class="o">=</span> <span class="n">get_recommendations</span><span class="p">(</span><span class="n">symbol</span><span class="p">)</span>
</span><span id="__span-6-44"><a id="__codelineno-6-44" name="__codelineno-6-44" href="#__codelineno-6-44"></a>
</span><span id="__span-6-45"><a id="__codelineno-6-45" name="__codelineno-6-45" href="#__codelineno-6-45"></a><span class="n">analysis_request</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">&quot;&quot;&quot;</span>
</span><span id="__span-6-46"><a id="__codelineno-6-46" name="__codelineno-6-46" href="#__codelineno-6-46"></a><span class="s2">Analyze the following earnings estimates and recommendations for </span><span class="si">{</span><span class="n">symbol</span><span class="si">}</span><span class="s2">:</span>
</span><span id="__span-6-47"><a id="__codelineno-6-47" name="__codelineno-6-47" href="#__codelineno-6-47"></a>
</span><span id="__span-6-48"><a id="__codelineno-6-48" name="__codelineno-6-48" href="#__codelineno-6-48"></a><span class="s2">Earnings Estimates:</span>
</span><span id="__span-6-49"><a id="__codelineno-6-49" name="__codelineno-6-49" href="#__codelineno-6-49"></a><span class="si">{</span><span class="n">earnings_estimates</span><span class="si">}</span>
</span><span id="__span-6-50"><a id="__codelineno-6-50" name="__codelineno-6-50" href="#__codelineno-6-50"></a>
</span><span id="__span-6-51"><a id="__codelineno-6-51" name="__codelineno-6-51" href="#__codelineno-6-51"></a><span class="s2">Recommendations:</span>
</span><span id="__span-6-52"><a id="__codelineno-6-52" name="__codelineno-6-52" href="#__codelineno-6-52"></a><span class="si">{</span><span class="n">recommendations</span><span class="si">}</span>
</span><span id="__span-6-53"><a id="__codelineno-6-53" name="__codelineno-6-53" href="#__codelineno-6-53"></a>
</span><span id="__span-6-54"><a id="__codelineno-6-54" name="__codelineno-6-54" href="#__codelineno-6-54"></a><span class="s2">Provide insights on the company&#39;s expected financial performance, analyst sentiment, and any notable trends in the recommendations.</span>
</span><span id="__span-6-55"><a id="__codelineno-6-55" name="__codelineno-6-55" href="#__codelineno-6-55"></a><span class="s2">&quot;&quot;&quot;</span>
</span><span id="__span-6-56"><a id="__codelineno-6-56" name="__codelineno-6-56" href="#__codelineno-6-56"></a>
</span><span id="__span-6-57"><a id="__codelineno-6-57" name="__codelineno-6-57" href="#__codelineno-6-57"></a><span class="n">analysis</span> <span class="o">=</span> <span class="n">agent</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">analysis_request</span><span class="p">)</span>
</span><span id="__span-6-58"><a id="__codelineno-6-58" name="__codelineno-6-58" href="#__codelineno-6-58"></a><span class="nb">print</span><span class="p">(</span><span class="n">analysis</span><span class="p">)</span>
</span></code></pre></div>
<p>This example shows an AI agent that can fetch earnings estimates and analyst recommendations from Finnhub and perform an analysis on the company's financial outlook.</p>
<h2 id="advanced-analysis-techniques">Advanced Analysis Techniques<a class="headerlink" href="#advanced-analysis-techniques" title="Permanent link">&para;</a></h2>
<p>To further enhance the capabilities of our AI agents, we can implement more advanced analysis techniques:</p>
<ol>
<li>
<p>Multi-source analysis: Combine data from multiple providers to get a more comprehensive view of a stock or market.</p>
</li>
<li>
<p>Time series forecasting: Implement machine learning models for price prediction.</p>
</li>
<li>
<p>Sentiment analysis of social media: Incorporate data from social media platforms to gauge market sentiment.</p>
</li>
<li>
<p>Portfolio optimization: Use AI agents to suggest optimal portfolio allocations based on risk tolerance and investment goals.</p>
</li>
<li>
<p>Anomaly detection: Implement algorithms to detect unusual patterns or events in financial data.</p>
</li>
</ol>
<p>Here's an example of how we might implement a multi-source analysis:</p>
<div class="language-python highlight"><pre><span></span><code><span id="__span-7-1"><a id="__codelineno-7-1" name="__codelineno-7-1" href="#__codelineno-7-1"></a><span class="kn">import</span><span class="w"> </span><span class="nn">os</span>
</span><span id="__span-7-2"><a id="__codelineno-7-2" name="__codelineno-7-2" href="#__codelineno-7-2"></a><span class="kn">from</span><span class="w"> </span><span class="nn">swarms</span><span class="w"> </span><span class="kn">import</span> <span class="n">Agent</span>
</span><span id="__span-7-3"><a id="__codelineno-7-3" name="__codelineno-7-3" href="#__codelineno-7-3"></a><span class="kn">from</span><span class="w"> </span><span class="nn">swarms.models</span><span class="w"> </span><span class="kn">import</span> <span class="n">OpenAIChat</span>
</span><span id="__span-7-4"><a id="__codelineno-7-4" name="__codelineno-7-4" href="#__codelineno-7-4"></a><span class="kn">from</span><span class="w"> </span><span class="nn">dotenv</span><span class="w"> </span><span class="kn">import</span> <span class="n">load_dotenv</span>
</span><span id="__span-7-5"><a id="__codelineno-7-5" name="__codelineno-7-5" href="#__codelineno-7-5"></a><span class="kn">import</span><span class="w"> </span><span class="nn">yfinance</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">yf</span>
</span><span id="__span-7-6"><a id="__codelineno-7-6" name="__codelineno-7-6" href="#__codelineno-7-6"></a><span class="kn">import</span><span class="w"> </span><span class="nn">requests</span>
</span><span id="__span-7-7"><a id="__codelineno-7-7" name="__codelineno-7-7" href="#__codelineno-7-7"></a><span class="kn">import</span><span class="w"> </span><span class="nn">pandas</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pd</span>
</span><span id="__span-7-8"><a id="__codelineno-7-8" name="__codelineno-7-8" href="#__codelineno-7-8"></a>
</span><span id="__span-7-9"><a id="__codelineno-7-9" name="__codelineno-7-9" href="#__codelineno-7-9"></a><span class="n">load_dotenv</span><span class="p">()</span>
</span><span id="__span-7-10"><a id="__codelineno-7-10" name="__codelineno-7-10" href="#__codelineno-7-10"></a>
</span><span id="__span-7-11"><a id="__codelineno-7-11" name="__codelineno-7-11" href="#__codelineno-7-11"></a><span class="c1"># API setup</span>
</span><span id="__span-7-12"><a id="__codelineno-7-12" name="__codelineno-7-12" href="#__codelineno-7-12"></a><span class="n">POLYGON_API_KEY</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getenv</span><span class="p">(</span><span class="s2">&quot;POLYGON_API_KEY&quot;</span><span class="p">)</span>
</span><span id="__span-7-13"><a id="__codelineno-7-13" name="__codelineno-7-13" href="#__codelineno-7-13"></a><span class="n">ALPHA_VANTAGE_API_KEY</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getenv</span><span class="p">(</span><span class="s2">&quot;ALPHA_VANTAGE_API_KEY&quot;</span><span class="p">)</span>
</span><span id="__span-7-14"><a id="__codelineno-7-14" name="__codelineno-7-14" href="#__codelineno-7-14"></a><span class="n">OPENAI_API_KEY</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getenv</span><span class="p">(</span><span class="s2">&quot;OPENAI_API_KEY&quot;</span><span class="p">)</span>
</span><span id="__span-7-15"><a id="__codelineno-7-15" name="__codelineno-7-15" href="#__codelineno-7-15"></a>
</span><span id="__span-7-16"><a id="__codelineno-7-16" name="__codelineno-7-16" href="#__codelineno-7-16"></a><span class="c1"># Create an instance of the OpenAIChat class</span>
</span><span id="__span-7-17"><a id="__codelineno-7-17" name="__codelineno-7-17" href="#__codelineno-7-17"></a><span class="n">model</span> <span class="o">=</span> <span class="n">OpenAIChat</span><span class="p">(</span>
</span><span id="__span-7-18"><a id="__codelineno-7-18" name="__codelineno-7-18" href="#__codelineno-7-18"></a> <span class="n">openai_api_key</span><span class="o">=</span><span class="n">OPENAI_API_KEY</span><span class="p">,</span>
</span><span id="__span-7-19"><a id="__codelineno-7-19" name="__codelineno-7-19" href="#__codelineno-7-19"></a> <span class="n">model_name</span><span class="o">=</span><span class="s2">&quot;gpt-4&quot;</span><span class="p">,</span>
</span><span id="__span-7-20"><a id="__codelineno-7-20" name="__codelineno-7-20" href="#__codelineno-7-20"></a> <span class="n">temperature</span><span class="o">=</span><span class="mf">0.1</span>
</span><span id="__span-7-21"><a id="__codelineno-7-21" name="__codelineno-7-21" href="#__codelineno-7-21"></a><span class="p">)</span>
</span><span id="__span-7-22"><a id="__codelineno-7-22" name="__codelineno-7-22" href="#__codelineno-7-22"></a>
</span><span id="__span-7-23"><a id="__codelineno-7-23" name="__codelineno-7-23" href="#__codelineno-7-23"></a><span class="c1"># Initialize the agent</span>
</span><span id="__span-7-24"><a id="__codelineno-7-24" name="__codelineno-7-24" href="#__codelineno-7-24"></a><span class="n">agent</span> <span class="o">=</span> <span class="n">Agent</span><span class="p">(</span>
</span><span id="__span-7-25"><a id="__codelineno-7-25" name="__codelineno-7-25" href="#__codelineno-7-25"></a> <span class="n">agent_name</span><span class="o">=</span><span class="s2">&quot;Multi-Source-Analysis-Agent&quot;</span><span class="p">,</span>
</span><span id="__span-7-26"><a id="__codelineno-7-26" name="__codelineno-7-26" href="#__codelineno-7-26"></a> <span class="n">system_prompt</span><span class="o">=</span><span class="s2">&quot;You are a financial analysis AI assistant capable of analyzing data from multiple sources. Your task is to provide comprehensive insights on a stock based on various data points.&quot;</span><span class="p">,</span>
</span><span id="__span-7-27"><a id="__codelineno-7-27" name="__codelineno-7-27" href="#__codelineno-7-27"></a> <span class="n">llm</span><span class="o">=</span><span class="n">model</span><span class="p">,</span>
</span><span id="__span-7-28"><a id="__codelineno-7-28" name="__codelineno-7-28" href="#__codelineno-7-28"></a> <span class="n">max_loops</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
</span><span id="__span-7-29"><a id="__codelineno-7-29" name="__codelineno-7-29" href="#__codelineno-7-29"></a> <span class="n">dashboard</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
</span><span id="__span-7-30"><a id="__codelineno-7-30" name="__codelineno-7-30" href="#__codelineno-7-30"></a> <span class="n">verbose</span><span class="o">=</span><span class="kc">True</span>
</span><span id="__span-7-31"><a id="__codelineno-7-31" name="__codelineno-7-31" href="#__codelineno-7-31"></a><span class="p">)</span>
</span><span id="__span-7-32"><a id="__codelineno-7-32" name="__codelineno-7-32" href="#__codelineno-7-32"></a>
</span><span id="__span-7-33"><a id="__codelineno-7-33" name="__codelineno-7-33" href="#__codelineno-7-33"></a><span class="k">def</span><span class="w"> </span><span class="nf">get_stock_data_yf</span><span class="p">(</span><span class="n">symbol</span><span class="p">,</span> <span class="n">start_date</span><span class="p">,</span> <span class="n">end_date</span><span class="p">):</span>
</span><span id="__span-7-34"><a id="__codelineno-7-34" name="__codelineno-7-34" href="#__codelineno-7-34"></a> <span class="n">stock</span> <span class="o">=</span> <span class="n">yf</span><span class="o">.</span><span class="n">Ticker</span><span class="p">(</span><span class="n">symbol</span><span class="p">)</span>
</span><span id="__span-7-35"><a id="__codelineno-7-35" name="__codelineno-7-35" href="#__codelineno-7-35"></a> <span class="k">return</span> <span class="n">stock</span><span class="o">.</span><span class="n">history</span><span class="p">(</span><span class="n">start</span><span class="o">=</span><span class="n">start_date</span><span class="p">,</span> <span class="n">end</span><span class="o">=</span><span class="n">end_date</span><span class="p">)</span>
</span><span id="__span-7-36"><a id="__codelineno-7-36" name="__codelineno-7-36" href="#__codelineno-7-36"></a>
</span><span id="__span-7-37"><a id="__codelineno-7-37" name="__codelineno-7-37" href="#__codelineno-7-37"></a><span class="k">def</span><span class="w"> </span><span class="nf">get_stock_data_polygon</span><span class="p">(</span><span class="n">symbol</span><span class="p">,</span> <span class="n">from_date</span><span class="p">,</span> <span class="n">to_date</span><span class="p">):</span>
</span><span id="__span-7-38"><a id="__codelineno-7-38" name="__codelineno-7-38" href="#__codelineno-7-38"></a> <span class="n">endpoint</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">&quot;https://api.polygon.io/v2/aggs/ticker/</span><span class="si">{</span><span class="n">symbol</span><span class="si">}</span><span class="s2">/range/1/day/</span><span class="si">{</span><span class="n">from_date</span><span class="si">}</span><span class="s2">/</span><span class="si">{</span><span class="n">to_date</span><span class="si">}</span><span class="s2">&quot;</span>
</span><span id="__span-7-39"><a id="__codelineno-7-39" name="__codelineno-7-39" href="#__codelineno-7-39"></a> <span class="n">params</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;apiKey&#39;</span><span class="p">:</span> <span class="n">POLYGON_API_KEY</span><span class="p">,</span> <span class="s1">&#39;adjusted&#39;</span><span class="p">:</span> <span class="s1">&#39;true&#39;</span><span class="p">}</span>
</span><span id="__span-7-40"><a id="__codelineno-7-40" name="__codelineno-7-40" href="#__codelineno-7-40"></a> <span class="n">response</span> <span class="o">=</span> <span class="n">requests</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">endpoint</span><span class="p">,</span> <span class="n">params</span><span class="o">=</span><span class="n">params</span><span class="p">)</span>
</span><span id="__span-7-41"><a id="__codelineno-7-41" name="__codelineno-7-41" href="#__codelineno-7-41"></a> <span class="n">data</span> <span class="o">=</span> <span class="n">response</span><span class="o">.</span><span class="n">json</span><span class="p">()</span>
</span><span id="__span-7-42"><a id="__codelineno-7-42" name="__codelineno-7-42" href="#__codelineno-7-42"></a> <span class="k">return</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s1">&#39;results&#39;</span><span class="p">])</span>
</span><span id="__span-7-43"><a id="__codelineno-7-43" name="__codelineno-7-43" href="#__codelineno-7-43"></a>
</span><span id="__span-7-44"><a id="__codelineno-7-44" name="__codelineno-7-44" href="#__codelineno-7-44"></a><span class="k">def</span><span class="w"> </span><span class="nf">get_company_overview_av</span><span class="p">(</span><span class="n">symbol</span><span class="p">):</span>
</span><span id="__span-7-45"><a id="__codelineno-7-45" name="__codelineno-7-45" href="#__codelineno-7-45"></a> <span class="n">params</span> <span class="o">=</span> <span class="p">{</span>
</span><span id="__span-7-46"><a id="__codelineno-7-46" name="__codelineno-7-46" href="#__codelineno-7-46"></a> <span class="s1">&#39;function&#39;</span><span class="p">:</span> <span class="s1">&#39;OVERVIEW&#39;</span><span class="p">,</span>
</span><span id="__span-7-47"><a id="__codelineno-7-47" name="__codelineno-7-47" href="#__codelineno-7-47"></a> <span class="s1">&#39;symbol&#39;</span><span class="p">:</span> <span class="n">symbol</span><span class="p">,</span>
</span><span id="__span-7-48"><a id="__codelineno-7-48" name="__codelineno-7-48" href="#__codelineno-7-48"></a> <span class="s1">&#39;apikey&#39;</span><span class="p">:</span> <span class="n">ALPHA_VANTAGE_API_KEY</span>
</span><span id="__span-7-49"><a id="__codelineno-7-49" name="__codelineno-7-49" href="#__codelineno-7-49"></a> <span class="p">}</span>
</span><span id="__span-7-50"><a id="__codelineno-7-50" name="__codelineno-7-50" href="#__codelineno-7-50"></a> <span class="n">response</span> <span class="o">=</span> <span class="n">requests</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">&quot;https://www.alphavantage.co/query&quot;</span><span class="p">,</span> <span class="n">params</span><span class="o">=</span><span class="n">params</span><span class="p">)</span>
</span><span id="__span-7-51"><a id="__codelineno-7-51" name="__codelineno-7-51" href="#__codelineno-7-51"></a> <span class="k">return</span> <span class="n">response</span><span class="o">.</span><span class="n">json</span><span class="p">()</span>
</span><span id="__span-7-52"><a id="__codelineno-7-52" name="__codelineno-7-52" href="#__codelineno-7-52"></a>
</span><span id="__span-7-53"><a id="__codelineno-7-53" name="__codelineno-7-53" href="#__codelineno-7-53"></a><span class="c1"># Example usage</span>
</span><span id="__span-7-54"><a id="__codelineno-7-54" name="__codelineno-7-54" href="#__codelineno-7-54"></a><span class="n">symbol</span> <span class="o">=</span> <span class="s2">&quot;AAPL&quot;</span>
</span><span id="__span-7-55"><a id="__codelineno-7-55" name="__codelineno-7-55" href="#__codelineno-7-55"></a><span class="n">start_date</span> <span class="o">=</span> <span class="s2">&quot;2023-01-01&quot;</span>
</span><span id="__span-7-56"><a id="__codelineno-7-56" name="__codelineno-7-56" href="#__codelineno-7-56"></a><span class="n">end_date</span> <span class="o">=</span> <span class="s2">&quot;2023-12-31&quot;</span>
</span><span id="__span-7-57"><a id="__codelineno-7-57" name="__codelineno-7-57" href="#__codelineno-7-57"></a>
</span><span id="__span-7-58"><a id="__codelineno-7-58" name="__codelineno-7-58" href="#__codelineno-7-58"></a><span class="n">yf_data</span> <span class="o">=</span> <span class="n">get_stock_data_yf</span><span class="p">(</span><span class="n">symbol</span><span class="p">,</span> <span class="n">start_date</span><span class="p">,</span> <span class="n">end_date</span><span class="p">)</span>
</span><span id="__span-7-59"><a id="__codelineno-7-59" name="__codelineno-7-59" href="#__codelineno-7-59"></a><span class="n">polygon_data</span> <span class="o">=</span> <span class="n">get_stock_data_polygon</span><span class="p">(</span><span class="n">symbol</span><span class="p">,</span> <span class="n">start_date</span><span class="p">,</span> <span class="n">end_date</span><span class="p">)</span>
</span><span id="__span-7-60"><a id="__codelineno-7-60" name="__codelineno-7-60" href="#__codelineno-7-60"></a><span class="n">av_overview</span> <span class="o">=</span> <span class="n">get_company_overview_av</span><span class="p">(</span><span class="n">symbol</span><span class="p">)</span>
</span><span id="__span-7-61"><a id="__codelineno-7-61" name="__codelineno-7-61" href="#__codelineno-7-61"></a>
</span><span id="__span-7-62"><a id="__codelineno-7-62" name="__codelineno-7-62" href="#__codelineno-7-62"></a><span class="n">analysis_request</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">&quot;&quot;&quot;</span>
</span><span id="__span-7-63"><a id="__codelineno-7-63" name="__codelineno-7-63" href="#__codelineno-7-63"></a><span class="s2">Analyze the following data for </span><span class="si">{</span><span class="n">symbol</span><span class="si">}</span><span class="s2"> from </span><span class="si">{</span><span class="n">start_date</span><span class="si">}</span><span class="s2"> to </span><span class="si">{</span><span class="n">end_date</span><span class="si">}</span><span class="s2">:</span>
</span><span id="__span-7-64"><a id="__codelineno-7-64" name="__codelineno-7-64" href="#__codelineno-7-64"></a>
</span><span id="__span-7-65"><a id="__codelineno-7-65" name="__codelineno-7-65" href="#__codelineno-7-65"></a><span class="s2">Yahoo Finance Data:</span>
</span><span id="__span-7-66"><a id="__codelineno-7-66" name="__codelineno-7-66" href="#__codelineno-7-66"></a><span class="si">{</span><span class="n">yf_data</span><span class="o">.</span><span class="n">tail</span><span class="p">()</span><span class="o">.</span><span class="n">to_string</span><span class="p">()</span><span class="si">}</span>
</span><span id="__span-7-67"><a id="__codelineno-7-67" name="__codelineno-7-67" href="#__codelineno-7-67"></a>
</span><span id="__span-7-68"><a id="__codelineno-7-68" name="__codelineno-7-68" href="#__codelineno-7-68"></a><span class="s2">Polygon.io Data:</span>
</span><span id="__span-7-69"><a id="__codelineno-7-69" name="__codelineno-7-69" href="#__codelineno-7-69"></a><span class="si">{</span><span class="n">polygon_data</span><span class="o">.</span><span class="n">tail</span><span class="p">()</span><span class="o">.</span><span class="n">to_string</span><span class="p">()</span><span class="si">}</span>
</span><span id="__span-7-70"><a id="__codelineno-7-70" name="__codelineno-7-70" href="#__codelineno-7-70"></a>
</span><span id="__span-7-71"><a id="__codelineno-7-71" name="__codelineno-7-71" href="#__codelineno-7-71"></a><span class="s2">Alpha Vantage Company Overview:</span>
</span><span id="__span-7-72"><a id="__codelineno-7-72" name="__codelineno-7-72" href="#__codelineno-7-72"></a><span class="si">{</span><span class="n">av_overview</span><span class="si">}</span>
</span><span id="__span-7-73"><a id="__codelineno-7-73" name="__codelineno-7-73" href="#__codelineno-7-73"></a>
</span><span id="__span-7-74"><a id="__codelineno-7-74" name="__codelineno-7-74" href="#__codelineno-7-74"></a><span class="s2">Provide a comprehensive analysis of the stock, including:</span>
</span><span id="__span-7-75"><a id="__codelineno-7-75" name="__codelineno-7-75" href="#__codelineno-7-75"></a><span class="s2">1. Price trends and volatility</span>
</span><span id="__span-7-76"><a id="__codelineno-7-76" name="__codelineno-7-76" href="#__codelineno-7-76"></a><span class="s2">2. Trading volume analysis</span>
</span><span id="__span-7-77"><a id="__codelineno-7-77" name="__codelineno-7-77" href="#__codelineno-7-77"></a><span class="s2">3. Fundamental analysis based on the company overview</span>
</span><span id="__span-7-78"><a id="__codelineno-7-78" name="__codelineno-7-78" href="#__codelineno-7-78"></a><span class="s2">4. Any discrepancies between data sources and potential reasons</span>
</span><span id="__span-7-79"><a id="__codelineno-7-79" name="__codelineno-7-79" href="#__codelineno-7-79"></a><span class="s2">5. Overall outlook and potential risks/opportunities</span>
</span><span id="__span-7-80"><a id="__codelineno-7-80" name="__codelineno-7-80" href="#__codelineno-7-80"></a><span class="s2">&quot;&quot;&quot;</span>
</span><span id="__span-7-81"><a id="__codelineno-7-81" name="__codelineno-7-81" href="#__codelineno-7-81"></a>
</span><span id="__span-7-82"><a id="__codelineno-7-82" name="__codelineno-7-82" href="#__codelineno-7-82"></a><span class="n">analysis</span> <span class="o">=</span> <span class="n">agent</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">analysis_request</span><span class="p">)</span>
</span><span id="__span-7-83"><a id="__codelineno-7-83" name="__codelineno-7-83" href="#__codelineno-7-83"></a><span class="nb">print</span><span class="p">(</span><span class="n">analysis</span><span class="p">)</span>
</span></code></pre></div>
<p>This multi-source analysis example combines data from Yahoo Finance, Polygon.io, and Alpha Vantage to provide a more comprehensive view of a stock. The AI agent can then analyze this diverse set of data to provide deeper insights.</p>
<p>Now, let's explore some additional advanced analysis techniques:</p>
<h3 id="time-series-forecasting">Time Series Forecasting<a class="headerlink" href="#time-series-forecasting" title="Permanent link">&para;</a></h3>
<p>We can implement a simple time series forecasting model using the Prophet library and integrate it with our AI agent:</p>
<div class="language-python highlight"><pre><span></span><code><span id="__span-8-1"><a id="__codelineno-8-1" name="__codelineno-8-1" href="#__codelineno-8-1"></a><span class="kn">import</span><span class="w"> </span><span class="nn">os</span>
</span><span id="__span-8-2"><a id="__codelineno-8-2" name="__codelineno-8-2" href="#__codelineno-8-2"></a><span class="kn">from</span><span class="w"> </span><span class="nn">swarms</span><span class="w"> </span><span class="kn">import</span> <span class="n">Agent</span>
</span><span id="__span-8-3"><a id="__codelineno-8-3" name="__codelineno-8-3" href="#__codelineno-8-3"></a><span class="kn">from</span><span class="w"> </span><span class="nn">swarms.models</span><span class="w"> </span><span class="kn">import</span> <span class="n">OpenAIChat</span>
</span><span id="__span-8-4"><a id="__codelineno-8-4" name="__codelineno-8-4" href="#__codelineno-8-4"></a><span class="kn">from</span><span class="w"> </span><span class="nn">dotenv</span><span class="w"> </span><span class="kn">import</span> <span class="n">load_dotenv</span>
</span><span id="__span-8-5"><a id="__codelineno-8-5" name="__codelineno-8-5" href="#__codelineno-8-5"></a><span class="kn">import</span><span class="w"> </span><span class="nn">yfinance</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">yf</span>
</span><span id="__span-8-6"><a id="__codelineno-8-6" name="__codelineno-8-6" href="#__codelineno-8-6"></a><span class="kn">import</span><span class="w"> </span><span class="nn">pandas</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pd</span>
</span><span id="__span-8-7"><a id="__codelineno-8-7" name="__codelineno-8-7" href="#__codelineno-8-7"></a><span class="kn">from</span><span class="w"> </span><span class="nn">prophet</span><span class="w"> </span><span class="kn">import</span> <span class="n">Prophet</span>
</span><span id="__span-8-8"><a id="__codelineno-8-8" name="__codelineno-8-8" href="#__codelineno-8-8"></a><span class="kn">import</span><span class="w"> </span><span class="nn">matplotlib.pyplot</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">plt</span>
</span><span id="__span-8-9"><a id="__codelineno-8-9" name="__codelineno-8-9" href="#__codelineno-8-9"></a>
</span><span id="__span-8-10"><a id="__codelineno-8-10" name="__codelineno-8-10" href="#__codelineno-8-10"></a><span class="n">load_dotenv</span><span class="p">()</span>
</span><span id="__span-8-11"><a id="__codelineno-8-11" name="__codelineno-8-11" href="#__codelineno-8-11"></a>
</span><span id="__span-8-12"><a id="__codelineno-8-12" name="__codelineno-8-12" href="#__codelineno-8-12"></a><span class="n">OPENAI_API_KEY</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getenv</span><span class="p">(</span><span class="s2">&quot;OPENAI_API_KEY&quot;</span><span class="p">)</span>
</span><span id="__span-8-13"><a id="__codelineno-8-13" name="__codelineno-8-13" href="#__codelineno-8-13"></a>
</span><span id="__span-8-14"><a id="__codelineno-8-14" name="__codelineno-8-14" href="#__codelineno-8-14"></a><span class="n">model</span> <span class="o">=</span> <span class="n">OpenAIChat</span><span class="p">(</span>
</span><span id="__span-8-15"><a id="__codelineno-8-15" name="__codelineno-8-15" href="#__codelineno-8-15"></a> <span class="n">openai_api_key</span><span class="o">=</span><span class="n">OPENAI_API_KEY</span><span class="p">,</span>
</span><span id="__span-8-16"><a id="__codelineno-8-16" name="__codelineno-8-16" href="#__codelineno-8-16"></a> <span class="n">model_name</span><span class="o">=</span><span class="s2">&quot;gpt-4&quot;</span><span class="p">,</span>
</span><span id="__span-8-17"><a id="__codelineno-8-17" name="__codelineno-8-17" href="#__codelineno-8-17"></a> <span class="n">temperature</span><span class="o">=</span><span class="mf">0.1</span>
</span><span id="__span-8-18"><a id="__codelineno-8-18" name="__codelineno-8-18" href="#__codelineno-8-18"></a><span class="p">)</span>
</span><span id="__span-8-19"><a id="__codelineno-8-19" name="__codelineno-8-19" href="#__codelineno-8-19"></a>
</span><span id="__span-8-20"><a id="__codelineno-8-20" name="__codelineno-8-20" href="#__codelineno-8-20"></a><span class="n">agent</span> <span class="o">=</span> <span class="n">Agent</span><span class="p">(</span>
</span><span id="__span-8-21"><a id="__codelineno-8-21" name="__codelineno-8-21" href="#__codelineno-8-21"></a> <span class="n">agent_name</span><span class="o">=</span><span class="s2">&quot;Time-Series-Forecast-Agent&quot;</span><span class="p">,</span>
</span><span id="__span-8-22"><a id="__codelineno-8-22" name="__codelineno-8-22" href="#__codelineno-8-22"></a> <span class="n">system_prompt</span><span class="o">=</span><span class="s2">&quot;You are a financial analysis AI assistant specializing in time series forecasting. Your task is to analyze stock price predictions and provide insights.&quot;</span><span class="p">,</span>
</span><span id="__span-8-23"><a id="__codelineno-8-23" name="__codelineno-8-23" href="#__codelineno-8-23"></a> <span class="n">llm</span><span class="o">=</span><span class="n">model</span><span class="p">,</span>
</span><span id="__span-8-24"><a id="__codelineno-8-24" name="__codelineno-8-24" href="#__codelineno-8-24"></a> <span class="n">max_loops</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
</span><span id="__span-8-25"><a id="__codelineno-8-25" name="__codelineno-8-25" href="#__codelineno-8-25"></a> <span class="n">dashboard</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
</span><span id="__span-8-26"><a id="__codelineno-8-26" name="__codelineno-8-26" href="#__codelineno-8-26"></a> <span class="n">verbose</span><span class="o">=</span><span class="kc">True</span>
</span><span id="__span-8-27"><a id="__codelineno-8-27" name="__codelineno-8-27" href="#__codelineno-8-27"></a><span class="p">)</span>
</span><span id="__span-8-28"><a id="__codelineno-8-28" name="__codelineno-8-28" href="#__codelineno-8-28"></a>
</span><span id="__span-8-29"><a id="__codelineno-8-29" name="__codelineno-8-29" href="#__codelineno-8-29"></a><span class="k">def</span><span class="w"> </span><span class="nf">get_stock_data</span><span class="p">(</span><span class="n">symbol</span><span class="p">,</span> <span class="n">start_date</span><span class="p">,</span> <span class="n">end_date</span><span class="p">):</span>
</span><span id="__span-8-30"><a id="__codelineno-8-30" name="__codelineno-8-30" href="#__codelineno-8-30"></a> <span class="n">stock</span> <span class="o">=</span> <span class="n">yf</span><span class="o">.</span><span class="n">Ticker</span><span class="p">(</span><span class="n">symbol</span><span class="p">)</span>
</span><span id="__span-8-31"><a id="__codelineno-8-31" name="__codelineno-8-31" href="#__codelineno-8-31"></a> <span class="n">data</span> <span class="o">=</span> <span class="n">stock</span><span class="o">.</span><span class="n">history</span><span class="p">(</span><span class="n">start</span><span class="o">=</span><span class="n">start_date</span><span class="p">,</span> <span class="n">end</span><span class="o">=</span><span class="n">end_date</span><span class="p">)</span>
</span><span id="__span-8-32"><a id="__codelineno-8-32" name="__codelineno-8-32" href="#__codelineno-8-32"></a> <span class="k">return</span> <span class="n">data</span>
</span><span id="__span-8-33"><a id="__codelineno-8-33" name="__codelineno-8-33" href="#__codelineno-8-33"></a>
</span><span id="__span-8-34"><a id="__codelineno-8-34" name="__codelineno-8-34" href="#__codelineno-8-34"></a><span class="k">def</span><span class="w"> </span><span class="nf">forecast_stock_price</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">periods</span><span class="o">=</span><span class="mi">30</span><span class="p">):</span>
</span><span id="__span-8-35"><a id="__codelineno-8-35" name="__codelineno-8-35" href="#__codelineno-8-35"></a> <span class="n">df</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">reset_index</span><span class="p">()[[</span><span class="s1">&#39;Date&#39;</span><span class="p">,</span> <span class="s1">&#39;Close&#39;</span><span class="p">]]</span>
</span><span id="__span-8-36"><a id="__codelineno-8-36" name="__codelineno-8-36" href="#__codelineno-8-36"></a> <span class="n">df</span><span class="o">.</span><span class="n">columns</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;ds&#39;</span><span class="p">,</span> <span class="s1">&#39;y&#39;</span><span class="p">]</span>
</span><span id="__span-8-37"><a id="__codelineno-8-37" name="__codelineno-8-37" href="#__codelineno-8-37"></a>
</span><span id="__span-8-38"><a id="__codelineno-8-38" name="__codelineno-8-38" href="#__codelineno-8-38"></a> <span class="n">model</span> <span class="o">=</span> <span class="n">Prophet</span><span class="p">()</span>
</span><span id="__span-8-39"><a id="__codelineno-8-39" name="__codelineno-8-39" href="#__codelineno-8-39"></a> <span class="n">model</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">df</span><span class="p">)</span>
</span><span id="__span-8-40"><a id="__codelineno-8-40" name="__codelineno-8-40" href="#__codelineno-8-40"></a>
</span><span id="__span-8-41"><a id="__codelineno-8-41" name="__codelineno-8-41" href="#__codelineno-8-41"></a> <span class="n">future</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">make_future_dataframe</span><span class="p">(</span><span class="n">periods</span><span class="o">=</span><span class="n">periods</span><span class="p">)</span>
</span><span id="__span-8-42"><a id="__codelineno-8-42" name="__codelineno-8-42" href="#__codelineno-8-42"></a> <span class="n">forecast</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">future</span><span class="p">)</span>
</span><span id="__span-8-43"><a id="__codelineno-8-43" name="__codelineno-8-43" href="#__codelineno-8-43"></a>
</span><span id="__span-8-44"><a id="__codelineno-8-44" name="__codelineno-8-44" href="#__codelineno-8-44"></a> <span class="n">fig</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">forecast</span><span class="p">)</span>
</span><span id="__span-8-45"><a id="__codelineno-8-45" name="__codelineno-8-45" href="#__codelineno-8-45"></a> <span class="n">plt</span><span class="o">.</span><span class="n">savefig</span><span class="p">(</span><span class="s1">&#39;forecast_plot.png&#39;</span><span class="p">)</span>
</span><span id="__span-8-46"><a id="__codelineno-8-46" name="__codelineno-8-46" href="#__codelineno-8-46"></a> <span class="n">plt</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
</span><span id="__span-8-47"><a id="__codelineno-8-47" name="__codelineno-8-47" href="#__codelineno-8-47"></a>
</span><span id="__span-8-48"><a id="__codelineno-8-48" name="__codelineno-8-48" href="#__codelineno-8-48"></a> <span class="k">return</span> <span class="n">forecast</span>
</span><span id="__span-8-49"><a id="__codelineno-8-49" name="__codelineno-8-49" href="#__codelineno-8-49"></a>
</span><span id="__span-8-50"><a id="__codelineno-8-50" name="__codelineno-8-50" href="#__codelineno-8-50"></a><span class="c1"># Example usage</span>
</span><span id="__span-8-51"><a id="__codelineno-8-51" name="__codelineno-8-51" href="#__codelineno-8-51"></a><span class="n">symbol</span> <span class="o">=</span> <span class="s2">&quot;MSFT&quot;</span>
</span><span id="__span-8-52"><a id="__codelineno-8-52" name="__codelineno-8-52" href="#__codelineno-8-52"></a><span class="n">start_date</span> <span class="o">=</span> <span class="s2">&quot;2020-01-01&quot;</span>
</span><span id="__span-8-53"><a id="__codelineno-8-53" name="__codelineno-8-53" href="#__codelineno-8-53"></a><span class="n">end_date</span> <span class="o">=</span> <span class="s2">&quot;2023-12-31&quot;</span>
</span><span id="__span-8-54"><a id="__codelineno-8-54" name="__codelineno-8-54" href="#__codelineno-8-54"></a>
</span><span id="__span-8-55"><a id="__codelineno-8-55" name="__codelineno-8-55" href="#__codelineno-8-55"></a><span class="n">stock_data</span> <span class="o">=</span> <span class="n">get_stock_data</span><span class="p">(</span><span class="n">symbol</span><span class="p">,</span> <span class="n">start_date</span><span class="p">,</span> <span class="n">end_date</span><span class="p">)</span>
</span><span id="__span-8-56"><a id="__codelineno-8-56" name="__codelineno-8-56" href="#__codelineno-8-56"></a><span class="n">forecast</span> <span class="o">=</span> <span class="n">forecast_stock_price</span><span class="p">(</span><span class="n">stock_data</span><span class="p">)</span>
</span><span id="__span-8-57"><a id="__codelineno-8-57" name="__codelineno-8-57" href="#__codelineno-8-57"></a>
</span><span id="__span-8-58"><a id="__codelineno-8-58" name="__codelineno-8-58" href="#__codelineno-8-58"></a><span class="n">analysis_request</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">&quot;&quot;&quot;</span>
</span><span id="__span-8-59"><a id="__codelineno-8-59" name="__codelineno-8-59" href="#__codelineno-8-59"></a><span class="s2">Analyze the following time series forecast for </span><span class="si">{</span><span class="n">symbol</span><span class="si">}</span><span class="s2">:</span>
</span><span id="__span-8-60"><a id="__codelineno-8-60" name="__codelineno-8-60" href="#__codelineno-8-60"></a>
</span><span id="__span-8-61"><a id="__codelineno-8-61" name="__codelineno-8-61" href="#__codelineno-8-61"></a><span class="s2">Forecast Data:</span>
</span><span id="__span-8-62"><a id="__codelineno-8-62" name="__codelineno-8-62" href="#__codelineno-8-62"></a><span class="si">{</span><span class="n">forecast</span><span class="o">.</span><span class="n">tail</span><span class="p">(</span><span class="mi">30</span><span class="p">)</span><span class="o">.</span><span class="n">to_string</span><span class="p">()</span><span class="si">}</span>
</span><span id="__span-8-63"><a id="__codelineno-8-63" name="__codelineno-8-63" href="#__codelineno-8-63"></a>
</span><span id="__span-8-64"><a id="__codelineno-8-64" name="__codelineno-8-64" href="#__codelineno-8-64"></a><span class="s2">The forecast plot has been saved as &#39;forecast_plot.png&#39;.</span>
</span><span id="__span-8-65"><a id="__codelineno-8-65" name="__codelineno-8-65" href="#__codelineno-8-65"></a>
</span><span id="__span-8-66"><a id="__codelineno-8-66" name="__codelineno-8-66" href="#__codelineno-8-66"></a><span class="s2">Provide insights on:</span>
</span><span id="__span-8-67"><a id="__codelineno-8-67" name="__codelineno-8-67" href="#__codelineno-8-67"></a><span class="s2">1. The predicted trend for the stock price</span>
</span><span id="__span-8-68"><a id="__codelineno-8-68" name="__codelineno-8-68" href="#__codelineno-8-68"></a><span class="s2">2. Any seasonal patterns observed</span>
</span><span id="__span-8-69"><a id="__codelineno-8-69" name="__codelineno-8-69" href="#__codelineno-8-69"></a><span class="s2">3. Potential factors that might influence the forecast</span>
</span><span id="__span-8-70"><a id="__codelineno-8-70" name="__codelineno-8-70" href="#__codelineno-8-70"></a><span class="s2">4. Limitations of this forecasting method</span>
</span><span id="__span-8-71"><a id="__codelineno-8-71" name="__codelineno-8-71" href="#__codelineno-8-71"></a><span class="s2">5. Recommendations for investors based on this forecast</span>
</span><span id="__span-8-72"><a id="__codelineno-8-72" name="__codelineno-8-72" href="#__codelineno-8-72"></a><span class="s2">&quot;&quot;&quot;</span>
</span><span id="__span-8-73"><a id="__codelineno-8-73" name="__codelineno-8-73" href="#__codelineno-8-73"></a>
</span><span id="__span-8-74"><a id="__codelineno-8-74" name="__codelineno-8-74" href="#__codelineno-8-74"></a><span class="n">analysis</span> <span class="o">=</span> <span class="n">agent</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">analysis_request</span><span class="p">)</span>
</span><span id="__span-8-75"><a id="__codelineno-8-75" name="__codelineno-8-75" href="#__codelineno-8-75"></a><span class="nb">print</span><span class="p">(</span><span class="n">analysis</span><span class="p">)</span>
</span></code></pre></div>
<p>This example demonstrates how to integrate a time series forecasting model (Prophet) with our AI agent. The agent can then provide insights based on the forecasted data.</p>
<h3 id="sentiment-analysis-of-social-media">Sentiment Analysis of Social Media<a class="headerlink" href="#sentiment-analysis-of-social-media" title="Permanent link">&para;</a></h3>
<p>We can use a pre-trained sentiment analysis model to analyze tweets about a company and integrate this with our AI agent:</p>
<div class="language-python highlight"><pre><span></span><code><span id="__span-9-1"><a id="__codelineno-9-1" name="__codelineno-9-1" href="#__codelineno-9-1"></a><span class="kn">import</span><span class="w"> </span><span class="nn">os</span>
</span><span id="__span-9-2"><a id="__codelineno-9-2" name="__codelineno-9-2" href="#__codelineno-9-2"></a><span class="kn">from</span><span class="w"> </span><span class="nn">swarms</span><span class="w"> </span><span class="kn">import</span> <span class="n">Agent</span>
</span><span id="__span-9-3"><a id="__codelineno-9-3" name="__codelineno-9-3" href="#__codelineno-9-3"></a><span class="kn">from</span><span class="w"> </span><span class="nn">swarms.models</span><span class="w"> </span><span class="kn">import</span> <span class="n">OpenAIChat</span>
</span><span id="__span-9-4"><a id="__codelineno-9-4" name="__codelineno-9-4" href="#__codelineno-9-4"></a><span class="kn">from</span><span class="w"> </span><span class="nn">dotenv</span><span class="w"> </span><span class="kn">import</span> <span class="n">load_dotenv</span>
</span><span id="__span-9-5"><a id="__codelineno-9-5" name="__codelineno-9-5" href="#__codelineno-9-5"></a><span class="kn">import</span><span class="w"> </span><span class="nn">tweepy</span>
</span><span id="__span-9-6"><a id="__codelineno-9-6" name="__codelineno-9-6" href="#__codelineno-9-6"></a><span class="kn">from</span><span class="w"> </span><span class="nn">textblob</span><span class="w"> </span><span class="kn">import</span> <span class="n">TextBlob</span>
</span><span id="__span-9-7"><a id="__codelineno-9-7" name="__codelineno-9-7" href="#__codelineno-9-7"></a><span class="kn">import</span><span class="w"> </span><span class="nn">pandas</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pd</span>
</span><span id="__span-9-8"><a id="__codelineno-9-8" name="__codelineno-9-8" href="#__codelineno-9-8"></a>
</span><span id="__span-9-9"><a id="__codelineno-9-9" name="__codelineno-9-9" href="#__codelineno-9-9"></a><span class="n">load_dotenv</span><span class="p">()</span>
</span><span id="__span-9-10"><a id="__codelineno-9-10" name="__codelineno-9-10" href="#__codelineno-9-10"></a>
</span><span id="__span-9-11"><a id="__codelineno-9-11" name="__codelineno-9-11" href="#__codelineno-9-11"></a><span class="c1"># Twitter API setup</span>
</span><span id="__span-9-12"><a id="__codelineno-9-12" name="__codelineno-9-12" href="#__codelineno-9-12"></a><span class="n">TWITTER_API_KEY</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getenv</span><span class="p">(</span><span class="s2">&quot;TWITTER_API_KEY&quot;</span><span class="p">)</span>
</span><span id="__span-9-13"><a id="__codelineno-9-13" name="__codelineno-9-13" href="#__codelineno-9-13"></a><span class="n">TWITTER_API_SECRET</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getenv</span><span class="p">(</span><span class="s2">&quot;TWITTER_API_SECRET&quot;</span><span class="p">)</span>
</span><span id="__span-9-14"><a id="__codelineno-9-14" name="__codelineno-9-14" href="#__codelineno-9-14"></a><span class="n">TWITTER_ACCESS_TOKEN</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getenv</span><span class="p">(</span><span class="s2">&quot;TWITTER_ACCESS_TOKEN&quot;</span><span class="p">)</span>
</span><span id="__span-9-15"><a id="__codelineno-9-15" name="__codelineno-9-15" href="#__codelineno-9-15"></a><span class="n">TWITTER_ACCESS_TOKEN_SECRET</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getenv</span><span class="p">(</span><span class="s2">&quot;TWITTER_ACCESS_TOKEN_SECRET&quot;</span><span class="p">)</span>
</span><span id="__span-9-16"><a id="__codelineno-9-16" name="__codelineno-9-16" href="#__codelineno-9-16"></a>
</span><span id="__span-9-17"><a id="__codelineno-9-17" name="__codelineno-9-17" href="#__codelineno-9-17"></a><span class="n">auth</span> <span class="o">=</span> <span class="n">tweepy</span><span class="o">.</span><span class="n">OAuthHandler</span><span class="p">(</span><span class="n">TWITTER_API_KEY</span><span class="p">,</span> <span class="n">TWITTER_API_SECRET</span><span class="p">)</span>
</span><span id="__span-9-18"><a id="__codelineno-9-18" name="__codelineno-9-18" href="#__codelineno-9-18"></a><span class="n">auth</span><span class="o">.</span><span class="n">set_access_token</span><span class="p">(</span><span class="n">TWITTER_ACCESS_TOKEN</span><span class="p">,</span> <span class="n">TWITTER_ACCESS_TOKEN_SECRET</span><span class="p">)</span>
</span><span id="__span-9-19"><a id="__codelineno-9-19" name="__codelineno-9-19" href="#__codelineno-9-19"></a><span class="n">api</span> <span class="o">=</span> <span class="n">tweepy</span><span class="o">.</span><span class="n">API</span><span class="p">(</span><span class="n">auth</span><span class="p">)</span>
</span><span id="__span-9-20"><a id="__codelineno-9-20" name="__codelineno-9-20" href="#__codelineno-9-20"></a>
</span><span id="__span-9-21"><a id="__codelineno-9-21" name="__codelineno-9-21" href="#__codelineno-9-21"></a><span class="c1"># OpenAI setup</span>
</span><span id="__span-9-22"><a id="__codelineno-9-22" name="__codelineno-9-22" href="#__codelineno-9-22"></a><span class="n">OPENAI_API_KEY</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getenv</span><span class="p">(</span><span class="s2">&quot;OPENAI_API_KEY&quot;</span><span class="p">)</span>
</span><span id="__span-9-23"><a id="__codelineno-9-23" name="__codelineno-9-23" href="#__codelineno-9-23"></a>
</span><span id="__span-9-24"><a id="__codelineno-9-24" name="__codelineno-9-24" href="#__codelineno-9-24"></a><span class="n">model</span> <span class="o">=</span> <span class="n">OpenAIChat</span><span class="p">(</span>
</span><span id="__span-9-25"><a id="__codelineno-9-25" name="__codelineno-9-25" href="#__codelineno-9-25"></a> <span class="n">openai_api_key</span><span class="o">=</span><span class="n">OPENAI_API_KEY</span><span class="p">,</span>
</span><span id="__span-9-26"><a id="__codelineno-9-26" name="__codelineno-9-26" href="#__codelineno-9-26"></a> <span class="n">model_name</span><span class="o">=</span><span class="s2">&quot;gpt-4&quot;</span><span class="p">,</span>
</span><span id="__span-9-27"><a id="__codelineno-9-27" name="__codelineno-9-27" href="#__codelineno-9-27"></a> <span class="n">temperature</span><span class="o">=</span><span class="mf">0.1</span>
</span><span id="__span-9-28"><a id="__codelineno-9-28" name="__codelineno-9-28" href="#__codelineno-9-28"></a><span class="p">)</span>
</span><span id="__span-9-29"><a id="__codelineno-9-29" name="__codelineno-9-29" href="#__codelineno-9-29"></a>
</span><span id="__span-9-30"><a id="__codelineno-9-30" name="__codelineno-9-30" href="#__codelineno-9-30"></a><span class="n">agent</span> <span class="o">=</span> <span class="n">Agent</span><span class="p">(</span>
</span><span id="__span-9-31"><a id="__codelineno-9-31" name="__codelineno-9-31" href="#__codelineno-9-31"></a> <span class="n">agent_name</span><span class="o">=</span><span class="s2">&quot;Social-Media-Sentiment-Agent&quot;</span><span class="p">,</span>
</span><span id="__span-9-32"><a id="__codelineno-9-32" name="__codelineno-9-32" href="#__codelineno-9-32"></a> <span class="n">system_prompt</span><span class="o">=</span><span class="s2">&quot;You are a financial analysis AI assistant specializing in social media sentiment analysis. Your task is to analyze sentiment data from tweets and provide insights on market perception.&quot;</span><span class="p">,</span>
</span><span id="__span-9-33"><a id="__codelineno-9-33" name="__codelineno-9-33" href="#__codelineno-9-33"></a> <span class="n">llm</span><span class="o">=</span><span class="n">model</span><span class="p">,</span>
</span><span id="__span-9-34"><a id="__codelineno-9-34" name="__codelineno-9-34" href="#__codelineno-9-34"></a> <span class="n">max_loops</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
</span><span id="__span-9-35"><a id="__codelineno-9-35" name="__codelineno-9-35" href="#__codelineno-9-35"></a> <span class="n">dashboard</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
</span><span id="__span-9-36"><a id="__codelineno-9-36" name="__codelineno-9-36" href="#__codelineno-9-36"></a> <span class="n">verbose</span><span class="o">=</span><span class="kc">True</span>
</span><span id="__span-9-37"><a id="__codelineno-9-37" name="__codelineno-9-37" href="#__codelineno-9-37"></a><span class="p">)</span>
</span><span id="__span-9-38"><a id="__codelineno-9-38" name="__codelineno-9-38" href="#__codelineno-9-38"></a>
</span><span id="__span-9-39"><a id="__codelineno-9-39" name="__codelineno-9-39" href="#__codelineno-9-39"></a><span class="k">def</span><span class="w"> </span><span class="nf">get_tweets</span><span class="p">(</span><span class="n">query</span><span class="p">,</span> <span class="n">count</span><span class="o">=</span><span class="mi">100</span><span class="p">):</span>
</span><span id="__span-9-40"><a id="__codelineno-9-40" name="__codelineno-9-40" href="#__codelineno-9-40"></a> <span class="n">tweets</span> <span class="o">=</span> <span class="n">api</span><span class="o">.</span><span class="n">search_tweets</span><span class="p">(</span><span class="n">q</span><span class="o">=</span><span class="n">query</span><span class="p">,</span> <span class="n">count</span><span class="o">=</span><span class="n">count</span><span class="p">,</span> <span class="n">tweet_mode</span><span class="o">=</span><span class="s2">&quot;extended&quot;</span><span class="p">)</span>
</span><span id="__span-9-41"><a id="__codelineno-9-41" name="__codelineno-9-41" href="#__codelineno-9-41"></a> <span class="k">return</span> <span class="p">[</span><span class="n">tweet</span><span class="o">.</span><span class="n">full_text</span> <span class="k">for</span> <span class="n">tweet</span> <span class="ow">in</span> <span class="n">tweets</span><span class="p">]</span>
</span><span id="__span-9-42"><a id="__codelineno-9-42" name="__codelineno-9-42" href="#__codelineno-9-42"></a>
</span><span id="__span-9-43"><a id="__codelineno-9-43" name="__codelineno-9-43" href="#__codelineno-9-43"></a><span class="k">def</span><span class="w"> </span><span class="nf">analyze_sentiment</span><span class="p">(</span><span class="n">tweets</span><span class="p">):</span>
</span><span id="__span-9-44"><a id="__codelineno-9-44" name="__codelineno-9-44" href="#__codelineno-9-44"></a> <span class="n">sentiments</span> <span class="o">=</span> <span class="p">[</span><span class="n">TextBlob</span><span class="p">(</span><span class="n">tweet</span><span class="p">)</span><span class="o">.</span><span class="n">sentiment</span><span class="o">.</span><span class="n">polarity</span> <span class="k">for</span> <span class="n">tweet</span> <span class="ow">in</span> <span class="n">tweets</span><span class="p">]</span>
</span><span id="__span-9-45"><a id="__codelineno-9-45" name="__codelineno-9-45" href="#__codelineno-9-45"></a> <span class="k">return</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">({</span><span class="s1">&#39;tweet&#39;</span><span class="p">:</span> <span class="n">tweets</span><span class="p">,</span> <span class="s1">&#39;sentiment&#39;</span><span class="p">:</span> <span class="n">sentiments</span><span class="p">})</span>
</span><span id="__span-9-46"><a id="__codelineno-9-46" name="__codelineno-9-46" href="#__codelineno-9-46"></a>
</span><span id="__span-9-47"><a id="__codelineno-9-47" name="__codelineno-9-47" href="#__codelineno-9-47"></a><span class="c1"># Example usage</span>
</span><span id="__span-9-48"><a id="__codelineno-9-48" name="__codelineno-9-48" href="#__codelineno-9-48"></a><span class="n">symbol</span> <span class="o">=</span> <span class="s2">&quot;TSLA&quot;</span>
</span><span id="__span-9-49"><a id="__codelineno-9-49" name="__codelineno-9-49" href="#__codelineno-9-49"></a><span class="n">query</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">&quot;$</span><span class="si">{</span><span class="n">symbol</span><span class="si">}</span><span class="s2"> stock&quot;</span>
</span><span id="__span-9-50"><a id="__codelineno-9-50" name="__codelineno-9-50" href="#__codelineno-9-50"></a>
</span><span id="__span-9-51"><a id="__codelineno-9-51" name="__codelineno-9-51" href="#__codelineno-9-51"></a><span class="n">tweets</span> <span class="o">=</span> <span class="n">get_tweets</span><span class="p">(</span><span class="n">query</span><span class="p">)</span>
</span><span id="__span-9-52"><a id="__codelineno-9-52" name="__codelineno-9-52" href="#__codelineno-9-52"></a><span class="n">sentiment_data</span> <span class="o">=</span> <span class="n">analyze_sentiment</span><span class="p">(</span><span class="n">tweets</span><span class="p">)</span>
</span><span id="__span-9-53"><a id="__codelineno-9-53" name="__codelineno-9-53" href="#__codelineno-9-53"></a>
</span><span id="__span-9-54"><a id="__codelineno-9-54" name="__codelineno-9-54" href="#__codelineno-9-54"></a><span class="n">analysis_request</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">&quot;&quot;&quot;</span>
</span><span id="__span-9-55"><a id="__codelineno-9-55" name="__codelineno-9-55" href="#__codelineno-9-55"></a><span class="s2">Analyze the following sentiment data for tweets about </span><span class="si">{</span><span class="n">symbol</span><span class="si">}</span><span class="s2"> stock:</span>
</span><span id="__span-9-56"><a id="__codelineno-9-56" name="__codelineno-9-56" href="#__codelineno-9-56"></a>
</span><span id="__span-9-57"><a id="__codelineno-9-57" name="__codelineno-9-57" href="#__codelineno-9-57"></a><span class="s2">Sentiment Summary:</span>
</span><span id="__span-9-58"><a id="__codelineno-9-58" name="__codelineno-9-58" href="#__codelineno-9-58"></a><span class="s2">Positive tweets: </span><span class="si">{</span><span class="nb">sum</span><span class="p">(</span><span class="n">sentiment_data</span><span class="p">[</span><span class="s1">&#39;sentiment&#39;</span><span class="p">]</span><span class="w"> </span><span class="o">&gt;</span><span class="w"> </span><span class="mi">0</span><span class="p">)</span><span class="si">}</span>
</span><span id="__span-9-59"><a id="__codelineno-9-59" name="__codelineno-9-59" href="#__codelineno-9-59"></a><span class="s2">Negative tweets: </span><span class="si">{</span><span class="nb">sum</span><span class="p">(</span><span class="n">sentiment_data</span><span class="p">[</span><span class="s1">&#39;sentiment&#39;</span><span class="p">]</span><span class="w"> </span><span class="o">&lt;</span><span class="w"> </span><span class="mi">0</span><span class="p">)</span><span class="si">}</span>
</span><span id="__span-9-60"><a id="__codelineno-9-60" name="__codelineno-9-60" href="#__codelineno-9-60"></a><span class="s2">Neutral tweets: </span><span class="si">{</span><span class="nb">sum</span><span class="p">(</span><span class="n">sentiment_data</span><span class="p">[</span><span class="s1">&#39;sentiment&#39;</span><span class="p">]</span><span class="w"> </span><span class="o">==</span><span class="w"> </span><span class="mi">0</span><span class="p">)</span><span class="si">}</span>
</span><span id="__span-9-61"><a id="__codelineno-9-61" name="__codelineno-9-61" href="#__codelineno-9-61"></a>
</span><span id="__span-9-62"><a id="__codelineno-9-62" name="__codelineno-9-62" href="#__codelineno-9-62"></a><span class="s2">Average sentiment: </span><span class="si">{</span><span class="n">sentiment_data</span><span class="p">[</span><span class="s1">&#39;sentiment&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span><span class="si">}</span>
</span><span id="__span-9-63"><a id="__codelineno-9-63" name="__codelineno-9-63" href="#__codelineno-9-63"></a>
</span><span id="__span-9-64"><a id="__codelineno-9-64" name="__codelineno-9-64" href="#__codelineno-9-64"></a><span class="s2">Sample tweets and their sentiments:</span>
</span><span id="__span-9-65"><a id="__codelineno-9-65" name="__codelineno-9-65" href="#__codelineno-9-65"></a><span class="si">{</span><span class="n">sentiment_data</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">10</span><span class="p">)</span><span class="o">.</span><span class="n">to_string</span><span class="p">()</span><span class="si">}</span>
</span><span id="__span-9-66"><a id="__codelineno-9-66" name="__codelineno-9-66" href="#__codelineno-9-66"></a>
</span><span id="__span-9-67"><a id="__codelineno-9-67" name="__codelineno-9-67" href="#__codelineno-9-67"></a><span class="s2">Provide insights on:</span>
</span><span id="__span-9-68"><a id="__codelineno-9-68" name="__codelineno-9-68" href="#__codelineno-9-68"></a><span class="s2">1. The overall sentiment towards the stock</span>
</span><span id="__span-9-69"><a id="__codelineno-9-69" name="__codelineno-9-69" href="#__codelineno-9-69"></a><span class="s2">2. Any notable trends or patterns in the sentiment</span>
</span><span id="__span-9-70"><a id="__codelineno-9-70" name="__codelineno-9-70" href="#__codelineno-9-70"></a><span class="s2">3. Potential reasons for the observed sentiment</span>
</span><span id="__span-9-71"><a id="__codelineno-9-71" name="__codelineno-9-71" href="#__codelineno-9-71"></a><span class="s2">4. How this sentiment might impact the stock price</span>
</span><span id="__span-9-72"><a id="__codelineno-9-72" name="__codelineno-9-72" href="#__codelineno-9-72"></a><span class="s2">5. Limitations of this sentiment analysis method</span>
</span><span id="__span-9-73"><a id="__codelineno-9-73" name="__codelineno-9-73" href="#__codelineno-9-73"></a><span class="s2">&quot;&quot;&quot;</span>
</span><span id="__span-9-74"><a id="__codelineno-9-74" name="__codelineno-9-74" href="#__codelineno-9-74"></a>
</span><span id="__span-9-75"><a id="__codelineno-9-75" name="__codelineno-9-75" href="#__codelineno-9-75"></a><span class="n">analysis</span> <span class="o">=</span> <span class="n">agent</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">analysis_request</span><span class="p">)</span>
</span><span id="__span-9-76"><a id="__codelineno-9-76" name="__codelineno-9-76" href="#__codelineno-9-76"></a><span class="nb">print</span><span class="p">(</span><span class="n">analysis</span><span class="p">)</span>
</span></code></pre></div>
<p>This example shows how to perform sentiment analysis on tweets about a stock and integrate the results with our AI agent for further analysis.</p>
<h3 id="portfolio-optimization">Portfolio Optimization<a class="headerlink" href="#portfolio-optimization" title="Permanent link">&para;</a></h3>
<p>We can use the PyPortfolioOpt library to perform portfolio optimization and have our AI agent provide insights:</p>
<div class="language-python highlight"><pre><span></span><code><span id="__span-10-1"><a id="__codelineno-10-1" name="__codelineno-10-1" href="#__codelineno-10-1"></a><span class="kn">import</span><span class="w"> </span><span class="nn">os</span>
</span><span id="__span-10-2"><a id="__codelineno-10-2" name="__codelineno-10-2" href="#__codelineno-10-2"></a><span class="kn">from</span><span class="w"> </span><span class="nn">swarms</span><span class="w"> </span><span class="kn">import</span> <span class="n">Agent</span>
</span><span id="__span-10-3"><a id="__codelineno-10-3" name="__codelineno-10-3" href="#__codelineno-10-3"></a><span class="kn">from</span><span class="w"> </span><span class="nn">swarms.models</span><span class="w"> </span><span class="kn">import</span> <span class="n">OpenAIChat</span>
</span><span id="__span-10-4"><a id="__codelineno-10-4" name="__codelineno-10-4" href="#__codelineno-10-4"></a><span class="kn">from</span><span class="w"> </span><span class="nn">dotenv</span><span class="w"> </span><span class="kn">import</span> <span class="n">load_dotenv</span>
</span><span id="__span-10-5"><a id="__codelineno-10-5" name="__codelineno-10-5" href="#__codelineno-10-5"></a><span class="kn">import</span><span class="w"> </span><span class="nn">yfinance</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">yf</span>
</span><span id="__span-10-6"><a id="__codelineno-10-6" name="__codelineno-10-6" href="#__codelineno-10-6"></a><span class="kn">import</span><span class="w"> </span><span class="nn">pandas</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pd</span>
</span><span id="__span-10-7"><a id="__codelineno-10-7" name="__codelineno-10-7" href="#__codelineno-10-7"></a><span class="kn">import</span><span class="w"> </span><span class="nn">numpy</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">np</span>
</span><span id="__span-10-8"><a id="__codelineno-10-8" name="__codelineno-10-8" href="#__codelineno-10-8"></a><span class="kn">from</span><span class="w"> </span><span class="nn">pypfopt</span><span class="w"> </span><span class="kn">import</span> <span class="n">EfficientFrontier</span>
</span><span id="__span-10-9"><a id="__codelineno-10-9" name="__codelineno-10-9" href="#__codelineno-10-9"></a><span class="kn">from</span><span class="w"> </span><span class="nn">pypfopt</span><span class="w"> </span><span class="kn">import</span> <span class="n">risk_models</span>
</span><span id="__span-10-10"><a id="__codelineno-10-10" name="__codelineno-10-10" href="#__codelineno-10-10"></a><span class="kn">from</span><span class="w"> </span><span class="nn">pypfopt</span><span class="w"> </span><span class="kn">import</span> <span class="n">expected_returns</span>
</span><span id="__span-10-11"><a id="__codelineno-10-11" name="__codelineno-10-11" href="#__codelineno-10-11"></a>
</span><span id="__span-10-12"><a id="__codelineno-10-12" name="__codelineno-10-12" href="#__codelineno-10-12"></a><span class="n">load_dotenv</span><span class="p">()</span>
</span><span id="__span-10-13"><a id="__codelineno-10-13" name="__codelineno-10-13" href="#__codelineno-10-13"></a>
</span><span id="__span-10-14"><a id="__codelineno-10-14" name="__codelineno-10-14" href="#__codelineno-10-14"></a><span class="n">OPENAI_API_KEY</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getenv</span><span class="p">(</span><span class="s2">&quot;OPENAI_API_KEY&quot;</span><span class="p">)</span>
</span><span id="__span-10-15"><a id="__codelineno-10-15" name="__codelineno-10-15" href="#__codelineno-10-15"></a>
</span><span id="__span-10-16"><a id="__codelineno-10-16" name="__codelineno-10-16" href="#__codelineno-10-16"></a><span class="n">model</span> <span class="o">=</span> <span class="n">OpenAIChat</span><span class="p">(</span>
</span><span id="__span-10-17"><a id="__codelineno-10-17" name="__codelineno-10-17" href="#__codelineno-10-17"></a> <span class="n">openai_api_key</span><span class="o">=</span><span class="n">OPENAI_API_KEY</span><span class="p">,</span>
</span><span id="__span-10-18"><a id="__codelineno-10-18" name="__codelineno-10-18" href="#__codelineno-10-18"></a> <span class="n">model_name</span><span class="o">=</span><span class="s2">&quot;gpt-4&quot;</span><span class="p">,</span>
</span><span id="__span-10-19"><a id="__codelineno-10-19" name="__codelineno-10-19" href="#__codelineno-10-19"></a> <span class="n">temperature</span><span class="o">=</span><span class="mf">0.1</span>
</span><span id="__span-10-20"><a id="__codelineno-10-20" name="__codelineno-10-20" href="#__codelineno-10-20"></a><span class="p">)</span>
</span><span id="__span-10-21"><a id="__codelineno-10-21" name="__codelineno-10-21" href="#__codelineno-10-21"></a>
</span><span id="__span-10-22"><a id="__codelineno-10-22" name="__codelineno-10-22" href="#__codelineno-10-22"></a><span class="n">agent</span> <span class="o">=</span> <span class="n">Agent</span><span class="p">(</span>
</span><span id="__span-10-23"><a id="__codelineno-10-23" name="__codelineno-10-23" href="#__codelineno-10-23"></a> <span class="n">agent_name</span><span class="o">=</span><span class="s2">&quot;Portfolio-Optimization-Agent&quot;</span><span class="p">,</span>
</span><span id="__span-10-24"><a id="__codelineno-10-24" name="__codelineno-10-24" href="#__codelineno-10-24"></a> <span class="n">system_prompt</span><span class="o">=</span><span class="s2">&quot;You are a financial analysis AI assistant specializing in portfolio optimization. Your task is to analyze optimized portfolio allocations and provide investment advice.&quot;</span><span class="p">,</span>
</span><span id="__span-10-25"><a id="__codelineno-10-25" name="__codelineno-10-25" href="#__codelineno-10-25"></a> <span class="n">llm</span><span class="o">=</span><span class="n">model</span><span class="p">,</span>
</span><span id="__span-10-26"><a id="__codelineno-10-26" name="__codelineno-10-26" href="#__codelineno-10-26"></a> <span class="n">max_loops</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
</span><span id="__span-10-27"><a id="__codelineno-10-27" name="__codelineno-10-27" href="#__codelineno-10-27"></a> <span class="n">dashboard</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
</span><span id="__span-10-28"><a id="__codelineno-10-28" name="__codelineno-10-28" href="#__codelineno-10-28"></a> <span class="n">verbose</span><span class="o">=</span><span class="kc">True</span>
</span><span id="__span-10-29"><a id="__codelineno-10-29" name="__codelineno-10-29" href="#__codelineno-10-29"></a><span class="p">)</span>
</span><span id="__span-10-30"><a id="__codelineno-10-30" name="__codelineno-10-30" href="#__codelineno-10-30"></a>
</span><span id="__span-10-31"><a id="__codelineno-10-31" name="__codelineno-10-31" href="#__codelineno-10-31"></a><span class="k">def</span><span class="w"> </span><span class="nf">get_stock_data</span><span class="p">(</span><span class="n">symbols</span><span class="p">,</span> <span class="n">start_date</span><span class="p">,</span> <span class="n">end_date</span><span class="p">):</span>
</span><span id="__span-10-32"><a id="__codelineno-10-32" name="__codelineno-10-32" href="#__codelineno-10-32"></a> <span class="n">data</span> <span class="o">=</span> <span class="n">yf</span><span class="o">.</span><span class="n">download</span><span class="p">(</span><span class="n">symbols</span><span class="p">,</span> <span class="n">start</span><span class="o">=</span><span class="n">start_date</span><span class="p">,</span> <span class="n">end</span><span class="o">=</span><span class="n">end_date</span><span class="p">)[</span><span class="s1">&#39;Adj Close&#39;</span><span class="p">]</span>
</span><span id="__span-10-33"><a id="__codelineno-10-33" name="__codelineno-10-33" href="#__codelineno-10-33"></a> <span class="k">return</span> <span class="n">data</span>
</span><span id="__span-10-34"><a id="__codelineno-10-34" name="__codelineno-10-34" href="#__codelineno-10-34"></a>
</span><span id="__span-10-35"><a id="__codelineno-10-35" name="__codelineno-10-35" href="#__codelineno-10-35"></a><span class="k">def</span><span class="w"> </span><span class="nf">optimize_portfolio</span><span class="p">(</span><span class="n">data</span><span class="p">):</span>
</span><span id="__span-10-36"><a id="__codelineno-10-36" name="__codelineno-10-36" href="#__codelineno-10-36"></a> <span class="n">mu</span> <span class="o">=</span> <span class="n">expected_returns</span><span class="o">.</span><span class="n">mean_historical_return</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
</span><span id="__span-10-37"><a id="__codelineno-10-37" name="__codelineno-10-37" href="#__codelineno-10-37"></a> <span class="n">S</span> <span class="o">=</span> <span class="n">risk_models</span><span class="o">.</span><span class="n">sample_cov</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
</span><span id="__span-10-38"><a id="__codelineno-10-38" name="__codelineno-10-38" href="#__codelineno-10-38"></a>
</span><span id="__span-10-39"><a id="__codelineno-10-39" name="__codelineno-10-39" href="#__codelineno-10-39"></a> <span class="n">ef</span> <span class="o">=</span> <span class="n">EfficientFrontier</span><span class="p">(</span><span class="n">mu</span><span class="p">,</span> <span class="n">S</span><span class="p">)</span>
</span><span id="__span-10-40"><a id="__codelineno-10-40" name="__codelineno-10-40" href="#__codelineno-10-40"></a> <span class="n">weights</span> <span class="o">=</span> <span class="n">ef</span><span class="o">.</span><span class="n">max_sharpe</span><span class="p">()</span>
</span><span id="__span-10-41"><a id="__codelineno-10-41" name="__codelineno-10-41" href="#__codelineno-10-41"></a> <span class="n">cleaned_weights</span> <span class="o">=</span> <span class="n">ef</span><span class="o">.</span><span class="n">clean_weights</span><span class="p">()</span>
</span><span id="__span-10-42"><a id="__codelineno-10-42" name="__codelineno-10-42" href="#__codelineno-10-42"></a>
</span><span id="__span-10-43"><a id="__codelineno-10-43" name="__codelineno-10-43" href="#__codelineno-10-43"></a> <span class="k">return</span> <span class="n">cleaned_weights</span>
</span><span id="__span-10-44"><a id="__codelineno-10-44" name="__codelineno-10-44" href="#__codelineno-10-44"></a>
</span><span id="__span-10-45"><a id="__codelineno-10-45" name="__codelineno-10-45" href="#__codelineno-10-45"></a><span class="c1"># Example usage</span>
</span><span id="__span-10-46"><a id="__codelineno-10-46" name="__codelineno-10-46" href="#__codelineno-10-46"></a><span class="n">symbols</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;AAPL&quot;</span><span class="p">,</span> <span class="s2">&quot;GOOGL&quot;</span><span class="p">,</span> <span class="s2">&quot;MSFT&quot;</span><span class="p">,</span> <span class="s2">&quot;AMZN&quot;</span><span class="p">,</span> <span class="s2">&quot;FB&quot;</span><span class="p">]</span>
</span><span id="__span-10-47"><a id="__codelineno-10-47" name="__codelineno-10-47" href="#__codelineno-10-47"></a><span class="n">start_date</span> <span class="o">=</span> <span class="s2">&quot;2018-01-01&quot;</span>
</span><span id="__span-10-48"><a id="__codelineno-10-48" name="__codelineno-10-48" href="#__codelineno-10-48"></a><span class="n">end_date</span> <span class="o">=</span> <span class="s2">&quot;2023-12-31&quot;</span>
</span><span id="__span-10-49"><a id="__codelineno-10-49" name="__codelineno-10-49" href="#__codelineno-10-49"></a>
</span><span id="__span-10-50"><a id="__codelineno-10-50" name="__codelineno-10-50" href="#__codelineno-10-50"></a><span class="n">stock_data</span> <span class="o">=</span> <span class="n">get_stock_data</span><span class="p">(</span><span class="n">symbols</span><span class="p">,</span> <span class="n">start_date</span><span class="p">,</span> <span class="n">end_date</span><span class="p">)</span>
</span><span id="__span-10-51"><a id="__codelineno-10-51" name="__codelineno-10-51" href="#__codelineno-10-51"></a><span class="n">optimized_weights</span> <span class="o">=</span> <span class="n">optimize_portfolio</span><span class="p">(</span><span class="n">stock_data</span><span class="p">)</span>
</span><span id="__span-10-52"><a id="__codelineno-10-52" name="__codelineno-10-52" href="#__codelineno-10-52"></a>
</span><span id="__span-10-53"><a id="__codelineno-10-53" name="__codelineno-10-53" href="#__codelineno-10-53"></a><span class="n">analysis_request</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">&quot;&quot;&quot;</span>
</span><span id="__span-10-54"><a id="__codelineno-10-54" name="__codelineno-10-54" href="#__codelineno-10-54"></a><span class="s2">Analyze the following optimized portfolio allocation:</span>
</span><span id="__span-10-55"><a id="__codelineno-10-55" name="__codelineno-10-55" href="#__codelineno-10-55"></a>
</span><span id="__span-10-56"><a id="__codelineno-10-56" name="__codelineno-10-56" href="#__codelineno-10-56"></a><span class="si">{</span><span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">(</span><span class="n">optimized_weights</span><span class="p">)</span><span class="o">.</span><span class="n">to_string</span><span class="p">()</span><span class="si">}</span>
</span><span id="__span-10-57"><a id="__codelineno-10-57" name="__codelineno-10-57" href="#__codelineno-10-57"></a>
</span><span id="__span-10-58"><a id="__codelineno-10-58" name="__codelineno-10-58" href="#__codelineno-10-58"></a><span class="s2">The optimization aimed to maximize the Sharpe ratio based on historical data from </span><span class="si">{</span><span class="n">start_date</span><span class="si">}</span><span class="s2"> to </span><span class="si">{</span><span class="n">end_date</span><span class="si">}</span><span class="s2">.</span>
</span><span id="__span-10-59"><a id="__codelineno-10-59" name="__codelineno-10-59" href="#__codelineno-10-59"></a>
</span><span id="__span-10-60"><a id="__codelineno-10-60" name="__codelineno-10-60" href="#__codelineno-10-60"></a><span class="s2">Provide insights on:</span>
</span><span id="__span-10-61"><a id="__codelineno-10-61" name="__codelineno-10-61" href="#__codelineno-10-61"></a><span class="s2">1. The recommended allocation and its potential benefits</span>
</span><span id="__span-10-62"><a id="__codelineno-10-62" name="__codelineno-10-62" href="#__codelineno-10-62"></a><span class="s2">2. Any notable concentrations or diversification in the portfolio</span>
</span><span id="__span-10-63"><a id="__codelineno-10-63" name="__codelineno-10-63" href="#__codelineno-10-63"></a><span class="s2">3. Potential risks associated with this allocation</span>
</span><span id="__span-10-64"><a id="__codelineno-10-64" name="__codelineno-10-64" href="#__codelineno-10-64"></a><span class="s2">4. How this portfolio might perform in different market conditions</span>
</span><span id="__span-10-65"><a id="__codelineno-10-65" name="__codelineno-10-65" href="#__codelineno-10-65"></a><span class="s2">5. Recommendations for an investor considering this allocation</span>
</span><span id="__span-10-66"><a id="__codelineno-10-66" name="__codelineno-10-66" href="#__codelineno-10-66"></a><span class="s2">6. Limitations of this optimization method</span>
</span><span id="__span-10-67"><a id="__codelineno-10-67" name="__codelineno-10-67" href="#__codelineno-10-67"></a><span class="s2">&quot;&quot;&quot;</span>
</span><span id="__span-10-68"><a id="__codelineno-10-68" name="__codelineno-10-68" href="#__codelineno-10-68"></a>
</span><span id="__span-10-69"><a id="__codelineno-10-69" name="__codelineno-10-69" href="#__codelineno-10-69"></a><span class="n">analysis</span> <span class="o">=</span> <span class="n">agent</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">analysis_request</span><span class="p">)</span>
</span><span id="__span-10-70"><a id="__codelineno-10-70" name="__codelineno-10-70" href="#__codelineno-10-70"></a><span class="nb">print</span><span class="p">(</span><span class="n">analysis</span><span class="p">)</span>
</span></code></pre></div>
<p>This example demonstrates how to perform portfolio optimization using the PyPortfolioOpt library and have our AI agent provide insights on the optimized allocation.</p>
<h2 id="best-practices-and-considerations">Best Practices and Considerations<a class="headerlink" href="#best-practices-and-considerations" title="Permanent link">&para;</a></h2>
<p>When using AI agents for financial data analysis, consider the following best practices:</p>
<ol>
<li>
<p>Data quality: Ensure that the data you're feeding into the agents is accurate and up-to-date.</p>
</li>
<li>
<p>Model limitations: Be aware of the limitations of both the financial models and the AI models being used.</p>
</li>
<li>
<p>Regulatory compliance: Ensure that your use of AI in financial analysis complies with relevant regulations.</p>
</li>
<li>
<p>Ethical considerations: Be mindful of potential biases in AI models and strive for fair and ethical analysis.</p>
</li>
<li>
<p>Continuous monitoring: Regularly evaluate the performance of your AI agents and update them as needed.</p>
</li>
<li>
<p>Human oversight: While AI agents can provide valuable insights, human judgment should always play a role in financial decision-making.</p>
</li>
<li>
<p>Privacy and security: Implement robust security measures to protect sensitive financial data.</p>
</li>
</ol>
<h2 id="conclusion">Conclusion<a class="headerlink" href="#conclusion" title="Permanent link">&para;</a></h2>
<p>The integration of AI agents with financial data APIs opens up exciting possibilities for advanced financial analysis. By leveraging the power of the Swarms framework and connecting it with various financial data providers, analysts and quants can gain deeper insights, automate complex analyses, and potentially make more informed investment decisions.</p>
<p>However, it's crucial to remember that while AI agents can process vast amounts of data and identify patterns that humans might miss, they should be used as tools to augment human decision-making rather than replace it entirely. The financial markets are complex systems influenced by numerous factors, many of which may not be captured in historical data or current models.</p>
<p>As the field of AI in finance continues to evolve, we can expect even more sophisticated analysis techniques and integrations. Staying updated with the latest developments in both AI and financial analysis will be key to leveraging these powerful tools effectively.</p>
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