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<h1 id="building-a-multi-agent-system-for-real-time-financial-analysis-a-comprehensive-tutorial">Building a Multi-Agent System for Real-Time Financial Analysis: A Comprehensive Tutorial<a class="headerlink" href="#building-a-multi-agent-system-for-real-time-financial-analysis-a-comprehensive-tutorial" title="Permanent link">&para;</a></h1>
<p>In this tutorial, we'll walk through the process of building a sophisticated multi-agent system for real-time financial analysis using the Swarms framework. This system is designed for financial analysts and developer analysts who want to leverage AI and multiple data sources to gain deeper insights into stock performance, market trends, and economic indicators.</p>
<p>Before we dive into the code, let's briefly introduce the Swarms framework. Swarms is an innovative open-source project that simplifies the creation and management of AI agents. It's particularly well-suited for complex tasks like financial analysis, where multiple specialized agents can work together to provide comprehensive insights.</p>
<p>For more information and to contribute to the project, visit the <a href="https://github.com/kyegomez/swarms">Swarms GitHub repository</a>. We highly recommend exploring the documentation for a deeper understanding of Swarms' capabilities.</p>
<p>Additional resources:
- <a href="https://discord.gg/jM3Z6M9uMq">Swarms Discord</a> for community discussions
- <a href="https://x.com/swarms_corp">Swarms Twitter</a> for updates
- <a href="https://open.spotify.com/show/2HLiswhmUaMdjHC8AUHcCF?si=c831ef10c5ef4994">Swarms Spotify</a> for podcasts
- <a href="https://medium.com/@kyeg">Swarms Blog</a> for in-depth articles
- <a href="https://swarms.xyz">Swarms Website</a> for an overview of the project</p>
<p>Now, let's break down our financial analysis system step by step.</p>
<h2 id="step-1-setting-up-the-environment">Step 1: Setting Up the Environment<a class="headerlink" href="#step-1-setting-up-the-environment" title="Permanent link">&para;</a></h2>
<p>First install the necessary packages:</p>
<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>$<span class="w"> </span>pip3<span class="w"> </span>install<span class="w"> </span>-U<span class="w"> </span>swarms<span class="w"> </span>yfiance<span class="w"> </span>swarm_models<span class="w"> </span>fredapi<span class="w"> </span>pandas<span class="w"> </span>
</span></code></pre></div>
<p>First, we need to set up our environment and import the necessary libraries:</p>
<div class="language-python highlight"><pre><span></span><code><span id="__span-1-1"><a id="__codelineno-1-1" name="__codelineno-1-1" href="#__codelineno-1-1"></a><span class="kn">import</span><span class="w"> </span><span class="nn">os</span>
</span><span id="__span-1-2"><a id="__codelineno-1-2" name="__codelineno-1-2" href="#__codelineno-1-2"></a><span class="kn">import</span><span class="w"> </span><span class="nn">time</span>
</span><span id="__span-1-3"><a id="__codelineno-1-3" name="__codelineno-1-3" href="#__codelineno-1-3"></a><span class="kn">from</span><span class="w"> </span><span class="nn">datetime</span><span class="w"> </span><span class="kn">import</span> <span class="n">datetime</span><span class="p">,</span> <span class="n">timedelta</span>
</span><span id="__span-1-4"><a id="__codelineno-1-4" name="__codelineno-1-4" href="#__codelineno-1-4"></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-1-5"><a id="__codelineno-1-5" name="__codelineno-1-5" href="#__codelineno-1-5"></a><span class="kn">import</span><span class="w"> </span><span class="nn">requests</span>
</span><span id="__span-1-6"><a id="__codelineno-1-6" name="__codelineno-1-6" href="#__codelineno-1-6"></a><span class="kn">from</span><span class="w"> </span><span class="nn">fredapi</span><span class="w"> </span><span class="kn">import</span> <span class="n">Fred</span>
</span><span id="__span-1-7"><a id="__codelineno-1-7" name="__codelineno-1-7" href="#__codelineno-1-7"></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-1-8"><a id="__codelineno-1-8" name="__codelineno-1-8" href="#__codelineno-1-8"></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-1-9"><a id="__codelineno-1-9" name="__codelineno-1-9" href="#__codelineno-1-9"></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-1-10"><a id="__codelineno-1-10" name="__codelineno-1-10" href="#__codelineno-1-10"></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 class="p">,</span> <span class="n">AgentRearrange</span>
</span><span id="__span-1-11"><a id="__codelineno-1-11" name="__codelineno-1-11" href="#__codelineno-1-11"></a><span class="kn">from</span><span class="w"> </span><span class="nn">swarm_models</span><span class="w"> </span><span class="kn">import</span> <span class="n">OpenAIChat</span>
</span><span id="__span-1-12"><a id="__codelineno-1-12" name="__codelineno-1-12" href="#__codelineno-1-12"></a><span class="kn">import</span><span class="w"> </span><span class="nn">logging</span>
</span><span id="__span-1-13"><a id="__codelineno-1-13" name="__codelineno-1-13" href="#__codelineno-1-13"></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-1-14"><a id="__codelineno-1-14" name="__codelineno-1-14" href="#__codelineno-1-14"></a><span class="kn">import</span><span class="w"> </span><span class="nn">asyncio</span>
</span><span id="__span-1-15"><a id="__codelineno-1-15" name="__codelineno-1-15" href="#__codelineno-1-15"></a><span class="kn">import</span><span class="w"> </span><span class="nn">aiohttp</span>
</span><span id="__span-1-16"><a id="__codelineno-1-16" name="__codelineno-1-16" href="#__codelineno-1-16"></a><span class="kn">from</span><span class="w"> </span><span class="nn">ratelimit</span><span class="w"> </span><span class="kn">import</span> <span class="n">limits</span><span class="p">,</span> <span class="n">sleep_and_retry</span>
</span><span id="__span-1-17"><a id="__codelineno-1-17" name="__codelineno-1-17" href="#__codelineno-1-17"></a>
</span><span id="__span-1-18"><a id="__codelineno-1-18" name="__codelineno-1-18" href="#__codelineno-1-18"></a><span class="c1"># Load environment variables</span>
</span><span id="__span-1-19"><a id="__codelineno-1-19" name="__codelineno-1-19" href="#__codelineno-1-19"></a><span class="n">load_dotenv</span><span class="p">()</span>
</span><span id="__span-1-20"><a id="__codelineno-1-20" name="__codelineno-1-20" href="#__codelineno-1-20"></a>
</span><span id="__span-1-21"><a id="__codelineno-1-21" name="__codelineno-1-21" href="#__codelineno-1-21"></a><span class="c1"># Set up logging</span>
</span><span id="__span-1-22"><a id="__codelineno-1-22" name="__codelineno-1-22" href="#__codelineno-1-22"></a><span class="n">logging</span><span class="o">.</span><span class="n">basicConfig</span><span class="p">(</span><span class="n">level</span><span class="o">=</span><span class="n">logging</span><span class="o">.</span><span class="n">INFO</span><span class="p">,</span> <span class="nb">format</span><span class="o">=</span><span class="s1">&#39;</span><span class="si">%(asctime)s</span><span class="s1"> - </span><span class="si">%(levelname)s</span><span class="s1"> - </span><span class="si">%(message)s</span><span class="s1">&#39;</span><span class="p">)</span>
</span><span id="__span-1-23"><a id="__codelineno-1-23" name="__codelineno-1-23" href="#__codelineno-1-23"></a><span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
</span><span id="__span-1-24"><a id="__codelineno-1-24" name="__codelineno-1-24" href="#__codelineno-1-24"></a>
</span><span id="__span-1-25"><a id="__codelineno-1-25" name="__codelineno-1-25" href="#__codelineno-1-25"></a><span class="c1"># API keys</span>
</span><span id="__span-1-26"><a id="__codelineno-1-26" name="__codelineno-1-26" href="#__codelineno-1-26"></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="s1">&#39;POLYGON_API_KEY&#39;</span><span class="p">)</span>
</span><span id="__span-1-27"><a id="__codelineno-1-27" name="__codelineno-1-27" href="#__codelineno-1-27"></a><span class="n">FRED_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="s1">&#39;FRED_API_KEY&#39;</span><span class="p">)</span>
</span><span id="__span-1-28"><a id="__codelineno-1-28" name="__codelineno-1-28" href="#__codelineno-1-28"></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="s1">&#39;OPENAI_API_KEY&#39;</span><span class="p">)</span>
</span><span id="__span-1-29"><a id="__codelineno-1-29" name="__codelineno-1-29" href="#__codelineno-1-29"></a>
</span><span id="__span-1-30"><a id="__codelineno-1-30" name="__codelineno-1-30" href="#__codelineno-1-30"></a><span class="c1"># Initialize FRED client</span>
</span><span id="__span-1-31"><a id="__codelineno-1-31" name="__codelineno-1-31" href="#__codelineno-1-31"></a><span class="n">fred_client</span> <span class="o">=</span> <span class="n">Fred</span><span class="p">(</span><span class="n">api_key</span><span class="o">=</span><span class="n">FRED_API_KEY</span><span class="p">)</span>
</span><span id="__span-1-32"><a id="__codelineno-1-32" name="__codelineno-1-32" href="#__codelineno-1-32"></a>
</span><span id="__span-1-33"><a id="__codelineno-1-33" name="__codelineno-1-33" href="#__codelineno-1-33"></a><span class="c1"># Polygon API base URL</span>
</span><span id="__span-1-34"><a id="__codelineno-1-34" name="__codelineno-1-34" href="#__codelineno-1-34"></a><span class="n">POLYGON_BASE_URL</span> <span class="o">=</span> <span class="s2">&quot;https://api.polygon.io&quot;</span>
</span></code></pre></div>
<p>This section sets up our environment, imports necessary libraries, and initializes our API keys and clients. We're using <code>dotenv</code> to securely manage our API keys, and we've set up logging to track the execution of our script.</p>
<h2 id="step-2-implementing-rate-limiting">Step 2: Implementing Rate Limiting<a class="headerlink" href="#step-2-implementing-rate-limiting" title="Permanent link">&para;</a></h2>
<p>To respect API rate limits, we implement rate limiting decorators:</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="nd">@sleep_and_retry</span>
</span><span id="__span-2-2"><a id="__codelineno-2-2" name="__codelineno-2-2" href="#__codelineno-2-2"></a><span class="nd">@limits</span><span class="p">(</span><span class="n">calls</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span> <span class="n">period</span><span class="o">=</span><span class="mi">60</span><span class="p">)</span> <span class="c1"># Adjust these values based on your Polygon API tier</span>
</span><span id="__span-2-3"><a id="__codelineno-2-3" name="__codelineno-2-3" href="#__codelineno-2-3"></a><span class="k">async</span> <span class="k">def</span><span class="w"> </span><span class="nf">call_polygon_api</span><span class="p">(</span><span class="n">session</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="kc">None</span><span class="p">):</span>
</span><span id="__span-2-4"><a id="__codelineno-2-4" name="__codelineno-2-4" href="#__codelineno-2-4"></a> <span class="n">url</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="n">endpoint</span><span class="si">}</span><span class="s2">&quot;</span>
</span><span id="__span-2-5"><a id="__codelineno-2-5" name="__codelineno-2-5" href="#__codelineno-2-5"></a> <span class="n">params</span> <span class="o">=</span> <span class="n">params</span> <span class="ow">or</span> <span class="p">{}</span>
</span><span id="__span-2-6"><a id="__codelineno-2-6" name="__codelineno-2-6" href="#__codelineno-2-6"></a> <span class="n">params</span><span class="p">[</span><span class="s1">&#39;apiKey&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">POLYGON_API_KEY</span>
</span><span id="__span-2-7"><a id="__codelineno-2-7" name="__codelineno-2-7" href="#__codelineno-2-7"></a> <span class="k">async</span> <span class="k">with</span> <span class="n">session</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">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 class="k">as</span> <span class="n">response</span><span class="p">:</span>
</span><span id="__span-2-8"><a id="__codelineno-2-8" name="__codelineno-2-8" href="#__codelineno-2-8"></a> <span class="n">response</span><span class="o">.</span><span class="n">raise_for_status</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 class="k">return</span> <span class="k">await</span> <span class="n">response</span><span class="o">.</span><span class="n">json</span><span class="p">()</span>
</span><span id="__span-2-10"><a id="__codelineno-2-10" name="__codelineno-2-10" href="#__codelineno-2-10"></a>
</span><span id="__span-2-11"><a id="__codelineno-2-11" name="__codelineno-2-11" href="#__codelineno-2-11"></a><span class="nd">@sleep_and_retry</span>
</span><span id="__span-2-12"><a id="__codelineno-2-12" name="__codelineno-2-12" href="#__codelineno-2-12"></a><span class="nd">@limits</span><span class="p">(</span><span class="n">calls</span><span class="o">=</span><span class="mi">120</span><span class="p">,</span> <span class="n">period</span><span class="o">=</span><span class="mi">60</span><span class="p">)</span> <span class="c1"># FRED allows 120 requests per minute</span>
</span><span id="__span-2-13"><a id="__codelineno-2-13" name="__codelineno-2-13" href="#__codelineno-2-13"></a><span class="k">def</span><span class="w"> </span><span class="nf">call_fred_api</span><span class="p">(</span><span class="n">func</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
</span><span id="__span-2-14"><a id="__codelineno-2-14" name="__codelineno-2-14" href="#__codelineno-2-14"></a> <span class="k">return</span> <span class="n">func</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
</span></code></pre></div>
<p>These decorators ensure that we don't exceed the rate limits for our API calls. The <code>call_polygon_api</code> function is designed to work with asynchronous code, while <code>call_fred_api</code> is a wrapper for synchronous FRED API calls.</p>
<h2 id="step-3-implementing-data-fetching-functions">Step 3: Implementing Data Fetching Functions<a class="headerlink" href="#step-3-implementing-data-fetching-functions" title="Permanent link">&para;</a></h2>
<p>Next, we implement functions to fetch data from various sources:</p>
<h3 id="yahoo-finance-integration">Yahoo Finance Integration<a class="headerlink" href="#yahoo-finance-integration" title="Permanent link">&para;</a></h3>
<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="k">async</span> <span class="k">def</span><span class="w"> </span><span class="nf">get_yahoo_finance_data</span><span class="p">(</span><span class="n">session</span><span class="p">,</span> <span class="n">ticker</span><span class="p">,</span> <span class="n">period</span><span class="o">=</span><span class="s2">&quot;1d&quot;</span><span class="p">,</span> <span class="n">interval</span><span class="o">=</span><span class="s2">&quot;1m&quot;</span><span class="p">):</span>
</span><span id="__span-3-2"><a id="__codelineno-3-2" name="__codelineno-3-2" href="#__codelineno-3-2"></a> <span class="k">try</span><span class="p">:</span>
</span><span id="__span-3-3"><a id="__codelineno-3-3" name="__codelineno-3-3" href="#__codelineno-3-3"></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">ticker</span><span class="p">)</span>
</span><span id="__span-3-4"><a id="__codelineno-3-4" name="__codelineno-3-4" href="#__codelineno-3-4"></a> <span class="n">hist</span> <span class="o">=</span> <span class="k">await</span> <span class="n">asyncio</span><span class="o">.</span><span class="n">to_thread</span><span class="p">(</span><span class="n">stock</span><span class="o">.</span><span class="n">history</span><span class="p">,</span> <span class="n">period</span><span class="o">=</span><span class="n">period</span><span class="p">,</span> <span class="n">interval</span><span class="o">=</span><span class="n">interval</span><span class="p">)</span>
</span><span id="__span-3-5"><a id="__codelineno-3-5" name="__codelineno-3-5" href="#__codelineno-3-5"></a> <span class="n">info</span> <span class="o">=</span> <span class="k">await</span> <span class="n">asyncio</span><span class="o">.</span><span class="n">to_thread</span><span class="p">(</span><span class="k">lambda</span><span class="p">:</span> <span class="n">stock</span><span class="o">.</span><span class="n">info</span><span class="p">)</span>
</span><span id="__span-3-6"><a id="__codelineno-3-6" name="__codelineno-3-6" href="#__codelineno-3-6"></a> <span class="k">return</span> <span class="n">hist</span><span class="p">,</span> <span class="n">info</span>
</span><span id="__span-3-7"><a id="__codelineno-3-7" name="__codelineno-3-7" href="#__codelineno-3-7"></a> <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</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 class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Error fetching Yahoo Finance data for </span><span class="si">{</span><span class="n">ticker</span><span class="si">}</span><span class="s2">: </span><span class="si">{</span><span class="n">e</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
</span><span id="__span-3-9"><a id="__codelineno-3-9" name="__codelineno-3-9" href="#__codelineno-3-9"></a> <span class="k">return</span> <span class="kc">None</span><span class="p">,</span> <span class="kc">None</span>
</span><span id="__span-3-10"><a id="__codelineno-3-10" name="__codelineno-3-10" href="#__codelineno-3-10"></a>
</span><span id="__span-3-11"><a id="__codelineno-3-11" name="__codelineno-3-11" href="#__codelineno-3-11"></a><span class="k">async</span> <span class="k">def</span><span class="w"> </span><span class="nf">get_yahoo_finance_realtime</span><span class="p">(</span><span class="n">session</span><span class="p">,</span> <span class="n">ticker</span><span class="p">):</span>
</span><span id="__span-3-12"><a id="__codelineno-3-12" name="__codelineno-3-12" href="#__codelineno-3-12"></a> <span class="k">try</span><span class="p">:</span>
</span><span id="__span-3-13"><a id="__codelineno-3-13" name="__codelineno-3-13" href="#__codelineno-3-13"></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">ticker</span><span class="p">)</span>
</span><span id="__span-3-14"><a id="__codelineno-3-14" name="__codelineno-3-14" href="#__codelineno-3-14"></a> <span class="k">return</span> <span class="k">await</span> <span class="n">asyncio</span><span class="o">.</span><span class="n">to_thread</span><span class="p">(</span><span class="k">lambda</span><span class="p">:</span> <span class="n">stock</span><span class="o">.</span><span class="n">fast_info</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 class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
</span><span id="__span-3-16"><a id="__codelineno-3-16" name="__codelineno-3-16" href="#__codelineno-3-16"></a> <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Error fetching Yahoo Finance realtime data for </span><span class="si">{</span><span class="n">ticker</span><span class="si">}</span><span class="s2">: </span><span class="si">{</span><span class="n">e</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
</span><span id="__span-3-17"><a id="__codelineno-3-17" name="__codelineno-3-17" href="#__codelineno-3-17"></a> <span class="k">return</span> <span class="kc">None</span>
</span></code></pre></div>
<p>These functions fetch historical and real-time data from Yahoo Finance. We use <code>asyncio.to_thread</code> to run the synchronous <code>yfinance</code> functions in a separate thread, allowing our main event loop to continue running.</p>
<h3 id="polygonio-integration">Polygon.io Integration<a class="headerlink" href="#polygonio-integration" title="Permanent link">&para;</a></h3>
<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="k">async</span> <span class="k">def</span><span class="w"> </span><span class="nf">get_polygon_realtime_data</span><span class="p">(</span><span class="n">session</span><span class="p">,</span> <span class="n">ticker</span><span class="p">):</span>
</span><span id="__span-4-2"><a id="__codelineno-4-2" name="__codelineno-4-2" href="#__codelineno-4-2"></a> <span class="k">try</span><span class="p">:</span>
</span><span id="__span-4-3"><a id="__codelineno-4-3" name="__codelineno-4-3" href="#__codelineno-4-3"></a> <span class="n">trades</span> <span class="o">=</span> <span class="k">await</span> <span class="n">call_polygon_api</span><span class="p">(</span><span class="n">session</span><span class="p">,</span> <span class="sa">f</span><span class="s2">&quot;/v2/last/trade/</span><span class="si">{</span><span class="n">ticker</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
</span><span id="__span-4-4"><a id="__codelineno-4-4" name="__codelineno-4-4" href="#__codelineno-4-4"></a> <span class="n">quotes</span> <span class="o">=</span> <span class="k">await</span> <span class="n">call_polygon_api</span><span class="p">(</span><span class="n">session</span><span class="p">,</span> <span class="sa">f</span><span class="s2">&quot;/v2/last/nbbo/</span><span class="si">{</span><span class="n">ticker</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
</span><span id="__span-4-5"><a id="__codelineno-4-5" name="__codelineno-4-5" href="#__codelineno-4-5"></a> <span class="k">return</span> <span class="n">trades</span><span class="p">,</span> <span class="n">quotes</span>
</span><span id="__span-4-6"><a id="__codelineno-4-6" name="__codelineno-4-6" href="#__codelineno-4-6"></a> <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
</span><span id="__span-4-7"><a id="__codelineno-4-7" name="__codelineno-4-7" href="#__codelineno-4-7"></a> <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Error fetching Polygon.io realtime data for </span><span class="si">{</span><span class="n">ticker</span><span class="si">}</span><span class="s2">: </span><span class="si">{</span><span class="n">e</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
</span><span id="__span-4-8"><a id="__codelineno-4-8" name="__codelineno-4-8" href="#__codelineno-4-8"></a> <span class="k">return</span> <span class="kc">None</span><span class="p">,</span> <span class="kc">None</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="k">async</span> <span class="k">def</span><span class="w"> </span><span class="nf">get_polygon_news</span><span class="p">(</span><span class="n">session</span><span class="p">,</span> <span class="n">ticker</span><span class="p">,</span> <span class="n">limit</span><span class="o">=</span><span class="mi">10</span><span class="p">):</span>
</span><span id="__span-4-11"><a id="__codelineno-4-11" name="__codelineno-4-11" href="#__codelineno-4-11"></a> <span class="k">try</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 class="n">news</span> <span class="o">=</span> <span class="k">await</span> <span class="n">call_polygon_api</span><span class="p">(</span><span class="n">session</span><span class="p">,</span> <span class="sa">f</span><span class="s2">&quot;/v2/reference/news&quot;</span><span class="p">,</span> <span class="n">params</span><span class="o">=</span><span class="p">{</span><span class="s2">&quot;ticker&quot;</span><span class="p">:</span> <span class="n">ticker</span><span class="p">,</span> <span class="s2">&quot;limit&quot;</span><span class="p">:</span> <span class="n">limit</span><span class="p">})</span>
</span><span id="__span-4-13"><a id="__codelineno-4-13" name="__codelineno-4-13" href="#__codelineno-4-13"></a> <span class="k">return</span> <span class="n">news</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">&#39;results&#39;</span><span class="p">,</span> <span class="p">[])</span>
</span><span id="__span-4-14"><a id="__codelineno-4-14" name="__codelineno-4-14" href="#__codelineno-4-14"></a> <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</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">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Error fetching Polygon.io news for </span><span class="si">{</span><span class="n">ticker</span><span class="si">}</span><span class="s2">: </span><span class="si">{</span><span class="n">e</span><span class="si">}</span><span class="s2">&quot;</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="k">return</span> <span class="p">[]</span>
</span></code></pre></div>
<p>These functions fetch real-time trade and quote data, as well as news articles from Polygon.io. We use our <code>call_polygon_api</code> function to make these requests, ensuring we respect rate limits.</p>
<h3 id="fred-integration">FRED Integration<a class="headerlink" href="#fred-integration" title="Permanent link">&para;</a></h3>
<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="k">async</span> <span class="k">def</span><span class="w"> </span><span class="nf">get_fred_data</span><span class="p">(</span><span class="n">session</span><span class="p">,</span> <span class="n">series_id</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-5-2"><a id="__codelineno-5-2" name="__codelineno-5-2" href="#__codelineno-5-2"></a> <span class="k">try</span><span class="p">:</span>
</span><span id="__span-5-3"><a id="__codelineno-5-3" name="__codelineno-5-3" href="#__codelineno-5-3"></a> <span class="n">data</span> <span class="o">=</span> <span class="k">await</span> <span class="n">asyncio</span><span class="o">.</span><span class="n">to_thread</span><span class="p">(</span><span class="n">call_fred_api</span><span class="p">,</span> <span class="n">fred_client</span><span class="o">.</span><span class="n">get_series</span><span class="p">,</span> <span class="n">series_id</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-5-4"><a id="__codelineno-5-4" name="__codelineno-5-4" href="#__codelineno-5-4"></a> <span class="k">return</span> <span class="n">data</span>
</span><span id="__span-5-5"><a id="__codelineno-5-5" name="__codelineno-5-5" href="#__codelineno-5-5"></a> <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
</span><span id="__span-5-6"><a id="__codelineno-5-6" name="__codelineno-5-6" href="#__codelineno-5-6"></a> <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Error fetching FRED data for </span><span class="si">{</span><span class="n">series_id</span><span class="si">}</span><span class="s2">: </span><span class="si">{</span><span class="n">e</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
</span><span id="__span-5-7"><a id="__codelineno-5-7" name="__codelineno-5-7" href="#__codelineno-5-7"></a> <span class="k">return</span> <span class="kc">None</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="k">async</span> <span class="k">def</span><span class="w"> </span><span class="nf">get_fred_realtime</span><span class="p">(</span><span class="n">session</span><span class="p">,</span> <span class="n">series_ids</span><span class="p">):</span>
</span><span id="__span-5-10"><a id="__codelineno-5-10" name="__codelineno-5-10" href="#__codelineno-5-10"></a> <span class="k">try</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">data</span> <span class="o">=</span> <span class="p">{}</span>
</span><span id="__span-5-12"><a id="__codelineno-5-12" name="__codelineno-5-12" href="#__codelineno-5-12"></a> <span class="k">for</span> <span class="n">series_id</span> <span class="ow">in</span> <span class="n">series_ids</span><span class="p">:</span>
</span><span id="__span-5-13"><a id="__codelineno-5-13" name="__codelineno-5-13" href="#__codelineno-5-13"></a> <span class="n">series</span> <span class="o">=</span> <span class="k">await</span> <span class="n">asyncio</span><span class="o">.</span><span class="n">to_thread</span><span class="p">(</span><span class="n">call_fred_api</span><span class="p">,</span> <span class="n">fred_client</span><span class="o">.</span><span class="n">get_series</span><span class="p">,</span> <span class="n">series_id</span><span class="p">)</span>
</span><span id="__span-5-14"><a id="__codelineno-5-14" name="__codelineno-5-14" href="#__codelineno-5-14"></a> <span class="n">data</span><span class="p">[</span><span class="n">series_id</span><span class="p">]</span> <span class="o">=</span> <span class="n">series</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="c1"># Get the most recent value</span>
</span><span id="__span-5-15"><a id="__codelineno-5-15" name="__codelineno-5-15" href="#__codelineno-5-15"></a> <span class="k">return</span> <span class="n">data</span>
</span><span id="__span-5-16"><a id="__codelineno-5-16" name="__codelineno-5-16" href="#__codelineno-5-16"></a> <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
</span><span id="__span-5-17"><a id="__codelineno-5-17" name="__codelineno-5-17" href="#__codelineno-5-17"></a> <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Error fetching FRED realtime data: </span><span class="si">{</span><span class="n">e</span><span class="si">}</span><span class="s2">&quot;</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="k">return</span> <span class="p">{}</span>
</span></code></pre></div>
<p>These functions fetch historical and real-time economic data from FRED. Again, we use <code>asyncio.to_thread</code> to run the synchronous FRED API calls in a separate thread.</p>
<h2 id="step-4-creating-specialized-agents">Step 4: Creating Specialized Agents<a class="headerlink" href="#step-4-creating-specialized-agents" title="Permanent link">&para;</a></h2>
<p>Now we create our specialized agents using the Swarms framework:</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="n">stock_agent</span> <span class="o">=</span> <span class="n">Agent</span><span class="p">(</span>
</span><span id="__span-6-2"><a id="__codelineno-6-2" name="__codelineno-6-2" href="#__codelineno-6-2"></a> <span class="n">agent_name</span><span class="o">=</span><span class="s2">&quot;StockAgent&quot;</span><span class="p">,</span>
</span><span id="__span-6-3"><a id="__codelineno-6-3" name="__codelineno-6-3" href="#__codelineno-6-3"></a> <span class="n">system_prompt</span><span class="o">=</span><span class="s2">&quot;&quot;&quot;You are an expert stock analyst. Your task is to analyze real-time stock data and provide insights. </span>
</span><span id="__span-6-4"><a id="__codelineno-6-4" name="__codelineno-6-4" href="#__codelineno-6-4"></a><span class="s2"> Consider price movements, trading volume, and any available company information. </span>
</span><span id="__span-6-5"><a id="__codelineno-6-5" name="__codelineno-6-5" href="#__codelineno-6-5"></a><span class="s2"> Provide a concise summary of the stock&#39;s current status and any notable trends or events.&quot;&quot;&quot;</span><span class="p">,</span>
</span><span id="__span-6-6"><a id="__codelineno-6-6" name="__codelineno-6-6" href="#__codelineno-6-6"></a> <span class="n">llm</span><span class="o">=</span><span class="n">OpenAIChat</span><span class="p">(</span><span class="n">api_key</span><span class="o">=</span><span class="n">OPENAI_API_KEY</span><span class="p">),</span>
</span><span id="__span-6-7"><a id="__codelineno-6-7" name="__codelineno-6-7" href="#__codelineno-6-7"></a> <span class="n">max_loops</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
</span><span id="__span-6-8"><a id="__codelineno-6-8" name="__codelineno-6-8" href="#__codelineno-6-8"></a> <span class="n">dashboard</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
</span><span id="__span-6-9"><a id="__codelineno-6-9" name="__codelineno-6-9" href="#__codelineno-6-9"></a> <span class="n">streaming_on</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
</span><span id="__span-6-10"><a id="__codelineno-6-10" name="__codelineno-6-10" href="#__codelineno-6-10"></a> <span class="n">verbose</span><span class="o">=</span><span class="kc">True</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="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="n">market_agent</span> <span class="o">=</span> <span class="n">Agent</span><span class="p">(</span>
</span><span id="__span-6-14"><a id="__codelineno-6-14" name="__codelineno-6-14" href="#__codelineno-6-14"></a> <span class="n">agent_name</span><span class="o">=</span><span class="s2">&quot;MarketAgent&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 class="n">system_prompt</span><span class="o">=</span><span class="s2">&quot;&quot;&quot;You are a market analysis expert. Your task is to analyze overall market conditions using real-time data. </span>
</span><span id="__span-6-16"><a id="__codelineno-6-16" name="__codelineno-6-16" href="#__codelineno-6-16"></a><span class="s2"> Consider major indices, sector performance, and market-wide trends. </span>
</span><span id="__span-6-17"><a id="__codelineno-6-17" name="__codelineno-6-17" href="#__codelineno-6-17"></a><span class="s2"> Provide a concise summary of current market conditions and any significant developments.&quot;&quot;&quot;</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">llm</span><span class="o">=</span><span class="n">OpenAIChat</span><span class="p">(</span><span class="n">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">max_loops</span><span class="o">=</span><span class="mi">1</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">dashboard</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
</span><span id="__span-6-21"><a id="__codelineno-6-21" name="__codelineno-6-21" href="#__codelineno-6-21"></a> <span class="n">streaming_on</span><span class="o">=</span><span class="kc">True</span><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 class="n">verbose</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
</span><span id="__span-6-23"><a id="__codelineno-6-23" name="__codelineno-6-23" href="#__codelineno-6-23"></a><span class="p">)</span>
</span><span id="__span-6-24"><a id="__codelineno-6-24" name="__codelineno-6-24" href="#__codelineno-6-24"></a>
</span><span id="__span-6-25"><a id="__codelineno-6-25" name="__codelineno-6-25" href="#__codelineno-6-25"></a><span class="n">macro_agent</span> <span class="o">=</span> <span class="n">Agent</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">agent_name</span><span class="o">=</span><span class="s2">&quot;MacroAgent&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">system_prompt</span><span class="o">=</span><span class="s2">&quot;&quot;&quot;You are a macroeconomic analysis expert. Your task is to analyze key economic indicators and provide insights on the overall economic situation. </span>
</span><span id="__span-6-28"><a id="__codelineno-6-28" name="__codelineno-6-28" href="#__codelineno-6-28"></a><span class="s2"> Consider GDP growth, inflation rates, unemployment figures, and other relevant economic data. </span>
</span><span id="__span-6-29"><a id="__codelineno-6-29" name="__codelineno-6-29" href="#__codelineno-6-29"></a><span class="s2"> Provide a concise summary of the current economic situation and any potential impacts on financial markets.&quot;&quot;&quot;</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">llm</span><span class="o">=</span><span class="n">OpenAIChat</span><span class="p">(</span><span class="n">api_key</span><span class="o">=</span><span class="n">OPENAI_API_KEY</span><span class="p">),</span>
</span><span id="__span-6-31"><a id="__codelineno-6-31" name="__codelineno-6-31" href="#__codelineno-6-31"></a> <span class="n">max_loops</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
</span><span id="__span-6-32"><a id="__codelineno-6-32" name="__codelineno-6-32" href="#__codelineno-6-32"></a> <span class="n">dashboard</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
</span><span id="__span-6-33"><a id="__codelineno-6-33" name="__codelineno-6-33" href="#__codelineno-6-33"></a> <span class="n">streaming_on</span><span class="o">=</span><span class="kc">True</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="n">verbose</span><span class="o">=</span><span class="kc">True</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 class="p">)</span>
</span><span id="__span-6-36"><a id="__codelineno-6-36" name="__codelineno-6-36" href="#__codelineno-6-36"></a>
</span><span id="__span-6-37"><a id="__codelineno-6-37" name="__codelineno-6-37" href="#__codelineno-6-37"></a><span class="n">news_agent</span> <span class="o">=</span> <span class="n">Agent</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 class="n">agent_name</span><span class="o">=</span><span class="s2">&quot;NewsAgent&quot;</span><span class="p">,</span>
</span><span id="__span-6-39"><a id="__codelineno-6-39" name="__codelineno-6-39" href="#__codelineno-6-39"></a> <span class="n">system_prompt</span><span class="o">=</span><span class="s2">&quot;&quot;&quot;You are a financial news analyst. Your task is to analyze recent news articles related to specific stocks or the overall market. </span>
</span><span id="__span-6-40"><a id="__codelineno-6-40" name="__codelineno-6-40" href="#__codelineno-6-40"></a><span class="s2"> Consider the potential impact of news events on stock prices or market trends. </span>
</span><span id="__span-6-41"><a id="__codelineno-6-41" name="__codelineno-6-41" href="#__codelineno-6-41"></a><span class="s2"> Provide a concise summary of key news items and their potential market implications.&quot;&quot;&quot;</span><span class="p">,</span>
</span><span id="__span-6-42"><a id="__codelineno-6-42" name="__codelineno-6-42" href="#__codelineno-6-42"></a> <span class="n">llm</span><span class="o">=</span><span class="n">OpenAIChat</span><span class="p">(</span><span class="n">api_key</span><span class="o">=</span><span class="n">OPENAI_API_KEY</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">max_loops</span><span class="o">=</span><span class="mi">1</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 class="n">dashboard</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
</span><span id="__span-6-45"><a id="__codelineno-6-45" name="__codelineno-6-45" href="#__codelineno-6-45"></a> <span class="n">streaming_on</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
</span><span id="__span-6-46"><a id="__codelineno-6-46" name="__codelineno-6-46" href="#__codelineno-6-46"></a> <span class="n">verbose</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
</span><span id="__span-6-47"><a id="__codelineno-6-47" name="__codelineno-6-47" href="#__codelineno-6-47"></a><span class="p">)</span>
</span></code></pre></div>
<p>Each agent is specialized in a different aspect of financial analysis. The <code>system_prompt</code> for each agent defines its role and the type of analysis it should perform.</p>
<h2 id="step-5-building-the-multi-agent-system">Step 5: Building the Multi-Agent System<a class="headerlink" href="#step-5-building-the-multi-agent-system" title="Permanent link">&para;</a></h2>
<p>We then combine our specialized agents into a multi-agent system:</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="n">agents</span> <span class="o">=</span> <span class="p">[</span><span class="n">stock_agent</span><span class="p">,</span> <span class="n">market_agent</span><span class="p">,</span> <span class="n">macro_agent</span><span class="p">,</span> <span class="n">news_agent</span><span class="p">]</span>
</span><span id="__span-7-2"><a id="__codelineno-7-2" name="__codelineno-7-2" href="#__codelineno-7-2"></a><span class="n">flow</span> <span class="o">=</span> <span class="s2">&quot;StockAgent -&gt; MarketAgent -&gt; MacroAgent -&gt; NewsAgent&quot;</span>
</span><span id="__span-7-3"><a id="__codelineno-7-3" name="__codelineno-7-3" href="#__codelineno-7-3"></a>
</span><span id="__span-7-4"><a id="__codelineno-7-4" name="__codelineno-7-4" href="#__codelineno-7-4"></a><span class="n">agent_system</span> <span class="o">=</span> <span class="n">AgentRearrange</span><span class="p">(</span><span class="n">agents</span><span class="o">=</span><span class="n">agents</span><span class="p">,</span> <span class="n">flow</span><span class="o">=</span><span class="n">flow</span><span class="p">)</span>
</span></code></pre></div>
<p>The <code>flow</code> variable defines the order in which our agents will process information. This allows for a logical progression from specific stock analysis to broader market and economic analysis.</p>
<h2 id="step-6-implementing-real-time-analysis">Step 6: Implementing Real-Time Analysis<a class="headerlink" href="#step-6-implementing-real-time-analysis" title="Permanent link">&para;</a></h2>
<p>Now we implement our main analysis function:</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="k">async</span> <span class="k">def</span><span class="w"> </span><span class="nf">real_time_analysis</span><span class="p">(</span><span class="n">session</span><span class="p">,</span> <span class="n">ticker</span><span class="p">):</span>
</span><span id="__span-8-2"><a id="__codelineno-8-2" name="__codelineno-8-2" href="#__codelineno-8-2"></a> <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Starting real-time analysis for </span><span class="si">{</span><span class="n">ticker</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
</span><span id="__span-8-3"><a id="__codelineno-8-3" name="__codelineno-8-3" href="#__codelineno-8-3"></a>
</span><span id="__span-8-4"><a id="__codelineno-8-4" name="__codelineno-8-4" href="#__codelineno-8-4"></a> <span class="c1"># Fetch real-time data</span>
</span><span id="__span-8-5"><a id="__codelineno-8-5" name="__codelineno-8-5" href="#__codelineno-8-5"></a> <span class="n">yf_data</span><span class="p">,</span> <span class="n">yf_info</span> <span class="o">=</span> <span class="k">await</span> <span class="n">get_yahoo_finance_data</span><span class="p">(</span><span class="n">session</span><span class="p">,</span> <span class="n">ticker</span><span class="p">)</span>
</span><span id="__span-8-6"><a id="__codelineno-8-6" name="__codelineno-8-6" href="#__codelineno-8-6"></a> <span class="n">yf_realtime</span> <span class="o">=</span> <span class="k">await</span> <span class="n">get_yahoo_finance_realtime</span><span class="p">(</span><span class="n">session</span><span class="p">,</span> <span class="n">ticker</span><span class="p">)</span>
</span><span id="__span-8-7"><a id="__codelineno-8-7" name="__codelineno-8-7" href="#__codelineno-8-7"></a> <span class="n">polygon_trades</span><span class="p">,</span> <span class="n">polygon_quotes</span> <span class="o">=</span> <span class="k">await</span> <span class="n">get_polygon_realtime_data</span><span class="p">(</span><span class="n">session</span><span class="p">,</span> <span class="n">ticker</span><span class="p">)</span>
</span><span id="__span-8-8"><a id="__codelineno-8-8" name="__codelineno-8-8" href="#__codelineno-8-8"></a> <span class="n">polygon_news</span> <span class="o">=</span> <span class="k">await</span> <span class="n">get_polygon_news</span><span class="p">(</span><span class="n">session</span><span class="p">,</span> <span class="n">ticker</span><span class="p">)</span>
</span><span id="__span-8-9"><a id="__codelineno-8-9" name="__codelineno-8-9" href="#__codelineno-8-9"></a> <span class="n">fred_data</span> <span class="o">=</span> <span class="k">await</span> <span class="n">get_fred_realtime</span><span class="p">(</span><span class="n">session</span><span class="p">,</span> <span class="p">[</span><span class="s1">&#39;GDP&#39;</span><span class="p">,</span> <span class="s1">&#39;UNRATE&#39;</span><span class="p">,</span> <span class="s1">&#39;CPIAUCSL&#39;</span><span class="p">])</span>
</span><span id="__span-8-10"><a id="__codelineno-8-10" name="__codelineno-8-10" href="#__codelineno-8-10"></a>
</span><span id="__span-8-11"><a id="__codelineno-8-11" name="__codelineno-8-11" href="#__codelineno-8-11"></a> <span class="c1"># Prepare input for the multi-agent system</span>
</span><span id="__span-8-12"><a id="__codelineno-8-12" name="__codelineno-8-12" href="#__codelineno-8-12"></a> <span class="n">input_data</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">&quot;&quot;&quot;</span>
</span><span id="__span-8-13"><a id="__codelineno-8-13" name="__codelineno-8-13" href="#__codelineno-8-13"></a><span class="s2"> Yahoo Finance Data:</span>
</span><span id="__span-8-14"><a id="__codelineno-8-14" name="__codelineno-8-14" href="#__codelineno-8-14"></a><span class="s2"> </span><span class="si">{</span><span class="n">yf_realtime</span><span class="si">}</span>
</span><span id="__span-8-15"><a id="__codelineno-8-15" name="__codelineno-8-15" href="#__codelineno-8-15"></a>
</span><span id="__span-8-16"><a id="__codelineno-8-16" name="__codelineno-8-16" href="#__codelineno-8-16"></a><span class="s2"> Recent Stock History:</span>
</span><span id="__span-8-17"><a id="__codelineno-8-17" name="__codelineno-8-17" href="#__codelineno-8-17"></a><span class="s2"> </span><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="w"> </span><span class="k">if</span><span class="w"> </span><span class="n">yf_data</span><span class="w"> </span><span class="ow">is</span><span class="w"> </span><span class="ow">not</span><span class="w"> </span><span class="kc">None</span><span class="w"> </span><span class="k">else</span><span class="w"> </span><span class="s1">&#39;Data unavailable&#39;</span><span class="si">}</span>
</span><span id="__span-8-18"><a id="__codelineno-8-18" name="__codelineno-8-18" href="#__codelineno-8-18"></a>
</span><span id="__span-8-19"><a id="__codelineno-8-19" name="__codelineno-8-19" href="#__codelineno-8-19"></a><span class="s2"> Polygon.io Trade Data:</span>
</span><span id="__span-8-20"><a id="__codelineno-8-20" name="__codelineno-8-20" href="#__codelineno-8-20"></a><span class="s2"> </span><span class="si">{</span><span class="n">polygon_trades</span><span class="si">}</span>
</span><span id="__span-8-21"><a id="__codelineno-8-21" name="__codelineno-8-21" href="#__codelineno-8-21"></a>
</span><span id="__span-8-22"><a id="__codelineno-8-22" name="__codelineno-8-22" href="#__codelineno-8-22"></a><span class="s2"> Polygon.io Quote Data:</span>
</span><span id="__span-8-23"><a id="__codelineno-8-23" name="__codelineno-8-23" href="#__codelineno-8-23"></a><span class="s2"> </span><span class="si">{</span><span class="n">polygon_quotes</span><span class="si">}</span>
</span><span id="__span-8-24"><a id="__codelineno-8-24" name="__codelineno-8-24" href="#__codelineno-8-24"></a>
</span><span id="__span-8-25"><a id="__codelineno-8-25" name="__codelineno-8-25" href="#__codelineno-8-25"></a><span class="s2"> Recent News:</span>
</span><span id="__span-8-26"><a id="__codelineno-8-26" name="__codelineno-8-26" href="#__codelineno-8-26"></a><span class="s2"> </span><span class="si">{</span><span class="n">polygon_news</span><span class="p">[:</span><span class="mi">3</span><span class="p">]</span><span class="w"> </span><span class="k">if</span><span class="w"> </span><span class="n">polygon_news</span><span class="w"> </span><span class="k">else</span><span class="w"> </span><span class="s1">&#39;No recent news available&#39;</span><span class="si">}</span>
</span><span id="__span-8-27"><a id="__codelineno-8-27" name="__codelineno-8-27" href="#__codelineno-8-27"></a>
</span><span id="__span-8-28"><a id="__codelineno-8-28" name="__codelineno-8-28" href="#__codelineno-8-28"></a><span class="s2"> Economic Indicators:</span>
</span><span id="__span-8-29"><a id="__codelineno-8-29" name="__codelineno-8-29" href="#__codelineno-8-29"></a><span class="s2"> </span><span class="si">{</span><span class="n">fred_data</span><span class="si">}</span>
</span><span id="__span-8-30"><a id="__codelineno-8-30" name="__codelineno-8-30" href="#__codelineno-8-30"></a>
</span><span id="__span-8-31"><a id="__codelineno-8-31" name="__codelineno-8-31" href="#__codelineno-8-31"></a><span class="s2"> Analyze this real-time financial data for </span><span class="si">{</span><span class="n">ticker</span><span class="si">}</span><span class="s2">. Provide insights on the stock&#39;s performance, overall market conditions, relevant economic factors, and any significant news that might impact the stock or market.</span>
</span><span id="__span-8-32"><a id="__codelineno-8-32" name="__codelineno-8-32" href="#__codelineno-8-32"></a><span class="s2"> &quot;&quot;&quot;</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="c1"># Run the multi-agent analysis</span>
</span><span id="__span-8-35"><a id="__codelineno-8-35" name="__codelineno-8-35" href="#__codelineno-8-35"></a> <span class="k">try</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">analysis</span> <span class="o">=</span> <span class="n">agent_system</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">input_data</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 class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Analysis completed for </span><span class="si">{</span><span class="n">ticker</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
</span><span id="__span-8-38"><a id="__codelineno-8-38" name="__codelineno-8-38" href="#__codelineno-8-38"></a> <span class="k">return</span> <span class="n">analysis</span>
</span><span id="__span-8-39"><a id="__codelineno-8-39" name="__codelineno-8-39" href="#__codelineno-8-39"></a> <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</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 class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Error during multi-agent analysis for </span><span class="si">{</span><span class="n">ticker</span><span class="si">}</span><span class="s2">: </span><span class="si">{</span><span class="n">e</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
</span><span id="__span-8-41"><a id="__codelineno-8-41" name="__codelineno-8-41" href="#__codelineno-8-41"></a> <span class="k">return</span> <span class="sa">f</span><span class="s2">&quot;Error during analysis: </span><span class="si">{</span><span class="n">e</span><span class="si">}</span><span class="s2">&quot;</span>
</span></code></pre></div>
<p>This function fetches data from all our sources, prepares it as input for our multi-agent system, and then runs the analysis. The result is a comprehensive analysis of the stock, considering individual performance, market conditions, economic factors, and relevant news.</p>
<h2 id="step-7-implementing-advanced-use-cases">Step 7: Implementing Advanced Use Cases<a class="headerlink" href="#step-7-implementing-advanced-use-cases" title="Permanent link">&para;</a></h2>
<p>We then implement more advanced analysis functions:</p>
<h3 id="compare-stocks">Compare Stocks<a class="headerlink" href="#compare-stocks" title="Permanent link">&para;</a></h3>
<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="k">async</span> <span class="k">def</span><span class="w"> </span><span class="nf">compare_stocks</span><span class="p">(</span><span class="n">session</span><span class="p">,</span> <span class="n">tickers</span><span class="p">):</span>
</span><span id="__span-9-2"><a id="__codelineno-9-2" name="__codelineno-9-2" href="#__codelineno-9-2"></a> <span class="n">results</span> <span class="o">=</span> <span class="p">{}</span>
</span><span id="__span-9-3"><a id="__codelineno-9-3" name="__codelineno-9-3" href="#__codelineno-9-3"></a> <span class="k">for</span> <span class="n">ticker</span> <span class="ow">in</span> <span class="n">tickers</span><span class="p">:</span>
</span><span id="__span-9-4"><a id="__codelineno-9-4" name="__codelineno-9-4" href="#__codelineno-9-4"></a> <span class="n">results</span><span class="p">[</span><span class="n">ticker</span><span class="p">]</span> <span class="o">=</span> <span class="k">await</span> <span class="n">real_time_analysis</span><span class="p">(</span><span class="n">session</span><span class="p">,</span> <span class="n">ticker</span><span class="p">)</span>
</span><span id="__span-9-5"><a id="__codelineno-9-5" name="__codelineno-9-5" href="#__codelineno-9-5"></a>
</span><span id="__span-9-6"><a id="__codelineno-9-6" name="__codelineno-9-6" href="#__codelineno-9-6"></a> <span class="n">comparison_prompt</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">&quot;&quot;&quot;</span>
</span><span id="__span-9-7"><a id="__codelineno-9-7" name="__codelineno-9-7" href="#__codelineno-9-7"></a><span class="s2"> Compare the following stocks based on the provided analyses:</span>
</span><span id="__span-9-8"><a id="__codelineno-9-8" name="__codelineno-9-8" href="#__codelineno-9-8"></a><span class="s2"> </span><span class="si">{</span><span class="n">results</span><span class="si">}</span>
</span><span id="__span-9-9"><a id="__codelineno-9-9" name="__codelineno-9-9" href="#__codelineno-9-9"></a>
</span><span id="__span-9-10"><a id="__codelineno-9-10" name="__codelineno-9-10" href="#__codelineno-9-10"></a><span class="s2"> Highlight key differences and similarities. Provide a ranking of these stocks based on their current performance and future prospects.</span>
</span><span id="__span-9-11"><a id="__codelineno-9-11" name="__codelineno-9-11" href="#__codelineno-9-11"></a><span class="s2"> &quot;&quot;&quot;</span>
</span><span id="__span-9-12"><a id="__codelineno-9-12" name="__codelineno-9-12" href="#__codelineno-9-12"></a>
</span><span id="__span-9-13"><a id="__codelineno-9-13" name="__codelineno-9-13" href="#__codelineno-9-13"></a> <span class="k">try</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">comparison</span> <span class="o">=</span> <span class="n">agent_system</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">comparison_prompt</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">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Stock comparison completed for </span><span class="si">{</span><span class="n">tickers</span><span class="si">}</span><span class="s2">&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 class="k">return</span> <span class="n">comparison</span>
</span><span id="__span-9-17"><a id="__codelineno-9-17" name="__codelineno-9-17" href="#__codelineno-9-17"></a> <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</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">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Error during stock comparison: </span><span class="si">{</span><span class="n">e</span><span class="si">}</span><span class="s2">&quot;</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="k">return</span> <span class="sa">f</span><span class="s2">&quot;Error during comparison: </span><span class="si">{</span><span class="n">e</span><span class="si">}</span><span class="s2">&quot;</span>
</span></code></pre></div>
<p>This function compares multiple stocks by running a real-time analysis on each and then prompting our multi-agent system to compare the results.</p>
<h3 id="sector-analysis">Sector Analysis<a class="headerlink" href="#sector-analysis" title="Permanent link">&para;</a></h3>
<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="k">async</span> <span class="k">def</span><span class="w"> </span><span class="nf">sector_analysis</span><span class="p">(</span><span class="n">session</span><span class="p">,</span> <span class="n">sector</span><span class="p">):</span>
</span><span id="__span-10-2"><a id="__codelineno-10-2" name="__codelineno-10-2" href="#__codelineno-10-2"></a> <span class="n">sector_stocks</span> <span class="o">=</span> <span class="p">{</span>
</span><span id="__span-10-3"><a id="__codelineno-10-3" name="__codelineno-10-3" href="#__codelineno-10-3"></a> <span class="s1">&#39;Technology&#39;</span><span class="p">:</span> <span class="p">[</span><span class="s1">&#39;AAPL&#39;</span><span class="p">,</span> <span class="s1">&#39;MSFT&#39;</span><span class="p">,</span> <span class="s1">&#39;GOOGL&#39;</span><span class="p">,</span> <span class="s1">&#39;AMZN&#39;</span><span class="p">,</span> <span class="s1">&#39;NVDA&#39;</span><span class="p">],</span>
</span><span id="__span-10-4"><a id="__codelineno-10-4" name="__codelineno-10-4" href="#__codelineno-10-4"></a> <span class="s1">&#39;Finance&#39;</span><span class="p">:</span> <span class="p">[</span><span class="s1">&#39;JPM&#39;</span><span class="p">,</span> <span class="s1">&#39;BAC&#39;</span><span class="p">,</span> <span class="s1">&#39;WFC&#39;</span><span class="p">,</span> <span class="s1">&#39;C&#39;</span><span class="p">,</span> <span class="s1">&#39;GS&#39;</span><span class="p">],</span>
</span><span id="__span-10-5"><a id="__codelineno-10-5" name="__codelineno-10-5" href="#__codelineno-10-5"></a> <span class="s1">&#39;Healthcare&#39;</span><span class="p">:</span> <span class="p">[</span><span class="s1">&#39;JNJ&#39;</span><span class="p">,</span> <span class="s1">&#39;UNH&#39;</span><span class="p">,</span> <span class="s1">&#39;PFE&#39;</span><span class="p">,</span> <span class="s1">&#39;ABT&#39;</span><span class="p">,</span> <span class="s1">&#39;MRK&#39;</span><span class="p">],</span>
</span><span id="__span-10-6"><a id="__codelineno-10-6" name="__codelineno-10-6" href="#__codelineno-10-6"></a> <span class="s1">&#39;Consumer Goods&#39;</span><span class="p">:</span> <span class="p">[</span><span class="s1">&#39;PG&#39;</span><span class="p">,</span> <span class="s1">&#39;KO&#39;</span><span class="p">,</span> <span class="s1">&#39;PEP&#39;</span><span class="p">,</span> <span class="s1">&#39;COST&#39;</span><span class="p">,</span> <span class="s1">&#39;WMT&#39;</span><span class="p">],</span>
</span><span id="__span-10-7"><a id="__codelineno-10-7" name="__codelineno-10-7" href="#__codelineno-10-7"></a> <span class="s1">&#39;Energy&#39;</span><span class="p">:</span> <span class="p">[</span><span class="s1">&#39;XOM&#39;</span><span class="p">,</span> <span class="s1">&#39;CVX&#39;</span><span class="p">,</span> <span class="s1">&#39;COP&#39;</span><span class="p">,</span> <span class="s1">&#39;SLB&#39;</span><span class="p">,</span> <span class="s1">&#39;EOG&#39;</span><span class="p">]</span>
</span><span id="__span-10-8"><a id="__codelineno-10-8" name="__codelineno-10-8" href="#__codelineno-10-8"></a> <span class="p">}</span>
</span><span id="__span-10-9"><a id="__codelineno-10-9" name="__codelineno-10-9" href="#__codelineno-10-9"></a>
</span><span id="__span-10-10"><a id="__codelineno-10-10" name="__codelineno-10-10" href="#__codelineno-10-10"></a> <span class="k">if</span> <span class="n">sector</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">sector_stocks</span><span class="p">:</span>
</span><span id="__span-10-11"><a id="__codelineno-10-11" name="__codelineno-10-11" href="#__codelineno-10-11"></a> <span class="k">return</span> <span class="sa">f</span><span class="s2">&quot;Sector &#39;</span><span class="si">{</span><span class="n">sector</span><span class="si">}</span><span class="s2">&#39; not found. Available sectors: </span><span class="si">{</span><span class="s1">&#39;, &#39;</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">sector_stocks</span><span class="o">.</span><span class="n">keys</span><span class="p">())</span><span class="si">}</span><span class="s2">&quot;</span>
</span><span id="__span-10-12"><a id="__codelineno-10-12" name="__codelineno-10-12" href="#__codelineno-10-12"></a>
</span><span id="__span-10-13"><a id="__codelineno-10-13" name="__codelineno-10-13" href="#__codelineno-10-13"></a> <span class="n">stocks</span> <span class="o">=</span> <span class="n">sector_stocks</span><span class="p">[</span><span class="n">sector</span><span class="p">][:</span><span class="mi">5</span><span class="p">]</span>
</span><span id="__span-10-14"><a id="__codelineno-10-14" name="__codelineno-10-14" href="#__codelineno-10-14"></a>
</span><span id="__span-10-15"><a id="__codelineno-10-15" name="__codelineno-10-15" href="#__codelineno-10-15"></a> <span class="n">sector_data</span> <span class="o">=</span> <span class="p">{}</span>
</span><span id="__span-10-16"><a id="__codelineno-10-16" name="__codelineno-10-16" href="#__codelineno-10-16"></a> <span class="k">for</span> <span class="n">stock</span> <span class="ow">in</span> <span class="n">stocks</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">sector_data</span><span class="p">[</span><span class="n">stock</span><span class="p">]</span> <span class="o">=</span> <span class="k">await</span> <span class="n">real_time_analysis</span><span class="p">(</span><span class="n">session</span><span class="p">,</span> <span class="n">stock</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><span id="__span-10-19"><a id="__codelineno-10-19" name="__codelineno-10-19" href="#__codelineno-10-19"></a> <span class="n">sector_prompt</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">&quot;&quot;&quot;</span>
</span><span id="__span-10-20"><a id="__codelineno-10-20" name="__codelineno-10-20" href="#__codelineno-10-20"></a><span class="s2"> Analyze the </span><span class="si">{</span><span class="n">sector</span><span class="si">}</span><span class="s2"> sector based on the following data from its top stocks:</span>
</span><span id="__span-10-21"><a id="__codelineno-10-21" name="__codelineno-10-21" href="#__codelineno-10-21"></a><span class="s2"> </span><span class="si">{</span><span class="n">sector_data</span><span class="si">}</span>
</span><span id="__span-10-22"><a id="__codelineno-10-22" name="__codelineno-10-22" href="#__codelineno-10-22"></a>
</span><span id="__span-10-23"><a id="__codelineno-10-23" name="__codelineno-10-23" href="#__codelineno-10-23"></a><span class="s2"> Provide insights on:</span>
</span><span id="__span-10-24"><a id="__codelineno-10-24" name="__codelineno-10-24" href="#__codelineno-10-24"></a><span class="s2"> 1. Overall sector performance</span>
</span><span id="__span-10-25"><a id="__codelineno-10-25" name="__codelineno-10-25" href="#__codelineno-10-25"></a><span class="s2"> 2. Key trends within the sector</span>
</span><span id="__span-10-26"><a id="__codelineno-10-26" name="__codelineno-10-26" href="#__codelineno-10-26"></a><span class="s2"> 3. Top performing stocks and why they&#39;re outperforming</span>
</span><span id="__span-10-27"><a id="__codelineno-10-27" name="__codelineno-10-27" href="#__codelineno-10-27"></a><span class="s2"> 4. Any challenges or opportunities facing the sector</span>
</span><span id="__span-10-28"><a id="__codelineno-10-28" name="__codelineno-10-28" href="#__codelineno-10-28"></a><span class="s2"> &quot;&quot;&quot;</span>
</span><span id="__span-10-29"><a id="__codelineno-10-29" name="__codelineno-10-29" href="#__codelineno-10-29"></a>
</span><span id="__span-10-30"><a id="__codelineno-10-30" name="__codelineno-10-30" href="#__codelineno-10-30"></a> <span class="k">try</span><span class="p">:</span>
</span><span id="__span-10-31"><a id="__codelineno-10-31" name="__codelineno-10-31" href="#__codelineno-10-31"></a> <span class="n">analysis</span> <span class="o">=</span> <span class="n">agent_system</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">sector_prompt</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">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Sector analysis completed for </span><span class="si">{</span><span class="n">sector</span><span class="si">}</span><span class="s2">&quot;</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">analysis</span>
</span><span id="__span-10-34"><a id="__codelineno-10-34" name="__codelineno-10-34" href="#__codelineno-10-34"></a> <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
</span><span id="__span-10-35"><a id="__codelineno-10-35" name="__codelineno-10-35" href="#__codelineno-10-35"></a> <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Error during sector analysis for </span><span class="si">{</span><span class="n">sector</span><span class="si">}</span><span class="s2">: </span><span class="si">{</span><span class="n">e</span><span class="si">}</span><span class="s2">&quot;</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="k">return</span> <span class="sa">f</span><span class="s2">&quot;Error during sector analysis: </span><span class="si">{</span><span class="n">e</span><span class="si">}</span><span class="s2">&quot;</span>
</span></code></pre></div>
<p>This function analyzes an entire sector by running real-time analysis on its top stocks and then prompting our multi-agent system to provide sector-wide insights.</p>
<h3 id="economic-impact-analysis">Economic Impact Analysis<a class="headerlink" href="#economic-impact-analysis" title="Permanent link">&para;</a></h3>
<div class="language-python highlight"><pre><span></span><code><span id="__span-11-1"><a id="__codelineno-11-1" name="__codelineno-11-1" href="#__codelineno-11-1"></a><span class="k">async</span> <span class="k">def</span><span class="w"> </span><span class="nf">economic_impact_analysis</span><span class="p">(</span><span class="n">session</span><span class="p">,</span> <span class="n">indicator</span><span class="p">,</span> <span class="n">threshold</span><span class="p">):</span>
</span><span id="__span-11-2"><a id="__codelineno-11-2" name="__codelineno-11-2" href="#__codelineno-11-2"></a> <span class="c1"># Fetch historical data for the indicator</span>
</span><span id="__span-11-3"><a id="__codelineno-11-3" name="__codelineno-11-3" href="#__codelineno-11-3"></a> <span class="n">end_date</span> <span class="o">=</span> <span class="n">datetime</span><span class="o">.</span><span class="n">now</span><span class="p">()</span><span class="o">.</span><span class="n">strftime</span><span class="p">(</span><span class="s1">&#39;%Y-%m-</span><span class="si">%d</span><span class="s1">&#39;</span><span class="p">)</span>
</span><span id="__span-11-4"><a id="__codelineno-11-4" name="__codelineno-11-4" href="#__codelineno-11-4"></a> <span class="n">start_date</span> <span class="o">=</span> <span class="p">(</span><span class="n">datetime</span><span class="o">.</span><span class="n">now</span><span class="p">()</span> <span class="o">-</span> <span class="n">timedelta</span><span class="p">(</span><span class="n">days</span><span class="o">=</span><span class="mi">365</span><span class="p">))</span><span class="o">.</span><span class="n">strftime</span><span class="p">(</span><span class="s1">&#39;%Y-%m-</span><span class="si">%d</span><span class="s1">&#39;</span><span class="p">)</span>
</span><span id="__span-11-5"><a id="__codelineno-11-5" name="__codelineno-11-5" href="#__codelineno-11-5"></a> <span class="n">indicator_data</span> <span class="o">=</span> <span class="k">await</span> <span class="n">get_fred_data</span><span class="p">(</span><span class="n">session</span><span class="p">,</span> <span class="n">indicator</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-11-6"><a id="__codelineno-11-6" name="__codelineno-11-6" href="#__codelineno-11-6"></a>
</span><span id="__span-11-7"><a id="__codelineno-11-7" name="__codelineno-11-7" href="#__codelineno-11-7"></a> <span class="k">if</span> <span class="n">indicator_data</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">or</span> <span class="nb">len</span><span class="p">(</span><span class="n">indicator_data</span><span class="p">)</span> <span class="o">&lt;</span> <span class="mi">2</span><span class="p">:</span>
</span><span id="__span-11-8"><a id="__codelineno-11-8" name="__codelineno-11-8" href="#__codelineno-11-8"></a> <span class="k">return</span> <span class="sa">f</span><span class="s2">&quot;Insufficient data for indicator </span><span class="si">{</span><span class="n">indicator</span><span class="si">}</span><span class="s2">&quot;</span>
</span><span id="__span-11-9"><a id="__codelineno-11-9" name="__codelineno-11-9" href="#__codelineno-11-9"></a>
</span><span id="__span-11-10"><a id="__codelineno-11-10" name="__codelineno-11-10" href="#__codelineno-11-10"></a> <span class="c1"># Check if the latest value crosses the threshold</span>
</span><span id="__span-11-11"><a id="__codelineno-11-11" name="__codelineno-11-11" href="#__codelineno-11-11"></a> <span class="n">latest_value</span> <span class="o">=</span> <span class="n">indicator_data</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
</span><span id="__span-11-12"><a id="__codelineno-11-12" name="__codelineno-11-12" href="#__codelineno-11-12"></a> <span class="n">previous_value</span> <span class="o">=</span> <span class="n">indicator_data</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="o">-</span><span class="mi">2</span><span class="p">]</span>
</span><span id="__span-11-13"><a id="__codelineno-11-13" name="__codelineno-11-13" href="#__codelineno-11-13"></a> <span class="n">crossed_threshold</span> <span class="o">=</span> <span class="p">(</span><span class="n">latest_value</span> <span class="o">&gt;</span> <span class="n">threshold</span> <span class="ow">and</span> <span class="n">previous_value</span> <span class="o">&lt;=</span> <span class="n">threshold</span><span class="p">)</span> <span class="ow">or</span> <span class="p">(</span><span class="n">latest_value</span> <span class="o">&lt;</span> <span class="n">threshold</span> <span class="ow">and</span> <span class="n">previous_value</span> <span class="o">&gt;=</span> <span class="n">threshold</span><span class="p">)</span>
</span><span id="__span-11-14"><a id="__codelineno-11-14" name="__codelineno-11-14" href="#__codelineno-11-14"></a>
</span><span id="__span-11-15"><a id="__codelineno-11-15" name="__codelineno-11-15" href="#__codelineno-11-15"></a> <span class="k">if</span> <span class="n">crossed_threshold</span><span class="p">:</span>
</span><span id="__span-11-16"><a id="__codelineno-11-16" name="__codelineno-11-16" href="#__codelineno-11-16"></a> <span class="n">impact_prompt</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">&quot;&quot;&quot;</span>
</span><span id="__span-11-17"><a id="__codelineno-11-17" name="__codelineno-11-17" href="#__codelineno-11-17"></a><span class="s2"> The economic indicator </span><span class="si">{</span><span class="n">indicator</span><span class="si">}</span><span class="s2"> has crossed the threshold of </span><span class="si">{</span><span class="n">threshold</span><span class="si">}</span><span class="s2">. Its current value is </span><span class="si">{</span><span class="n">latest_value</span><span class="si">}</span><span class="s2">.</span>
</span><span id="__span-11-18"><a id="__codelineno-11-18" name="__codelineno-11-18" href="#__codelineno-11-18"></a>
</span><span id="__span-11-19"><a id="__codelineno-11-19" name="__codelineno-11-19" href="#__codelineno-11-19"></a><span class="s2"> Historical data:</span>
</span><span id="__span-11-20"><a id="__codelineno-11-20" name="__codelineno-11-20" href="#__codelineno-11-20"></a><span class="s2"> </span><span class="si">{</span><span class="n">indicator_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-11-21"><a id="__codelineno-11-21" name="__codelineno-11-21" href="#__codelineno-11-21"></a>
</span><span id="__span-11-22"><a id="__codelineno-11-22" name="__codelineno-11-22" href="#__codelineno-11-22"></a><span class="s2"> Analyze the potential impacts of this change on:</span>
</span><span id="__span-11-23"><a id="__codelineno-11-23" name="__codelineno-11-23" href="#__codelineno-11-23"></a><span class="s2"> 1. Overall economic conditions</span>
</span><span id="__span-11-24"><a id="__codelineno-11-24" name="__codelineno-11-24" href="#__codelineno-11-24"></a><span class="s2"> 2. Different market</span>
</span><span id="__span-11-25"><a id="__codelineno-11-25" name="__codelineno-11-25" href="#__codelineno-11-25"></a><span class="s2"> 2. Different market sectors</span>
</span><span id="__span-11-26"><a id="__codelineno-11-26" name="__codelineno-11-26" href="#__codelineno-11-26"></a><span class="s2"> 3. Specific types of stocks (e.g., growth vs. value)</span>
</span><span id="__span-11-27"><a id="__codelineno-11-27" name="__codelineno-11-27" href="#__codelineno-11-27"></a><span class="s2"> 4. Other economic indicators</span>
</span><span id="__span-11-28"><a id="__codelineno-11-28" name="__codelineno-11-28" href="#__codelineno-11-28"></a>
</span><span id="__span-11-29"><a id="__codelineno-11-29" name="__codelineno-11-29" href="#__codelineno-11-29"></a><span class="s2"> Provide a comprehensive analysis of the potential consequences and any recommended actions for investors.</span>
</span><span id="__span-11-30"><a id="__codelineno-11-30" name="__codelineno-11-30" href="#__codelineno-11-30"></a><span class="s2"> &quot;&quot;&quot;</span>
</span><span id="__span-11-31"><a id="__codelineno-11-31" name="__codelineno-11-31" href="#__codelineno-11-31"></a>
</span><span id="__span-11-32"><a id="__codelineno-11-32" name="__codelineno-11-32" href="#__codelineno-11-32"></a> <span class="k">try</span><span class="p">:</span>
</span><span id="__span-11-33"><a id="__codelineno-11-33" name="__codelineno-11-33" href="#__codelineno-11-33"></a> <span class="n">analysis</span> <span class="o">=</span> <span class="n">agent_system</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">impact_prompt</span><span class="p">)</span>
</span><span id="__span-11-34"><a id="__codelineno-11-34" name="__codelineno-11-34" href="#__codelineno-11-34"></a> <span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Economic impact analysis completed for </span><span class="si">{</span><span class="n">indicator</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
</span><span id="__span-11-35"><a id="__codelineno-11-35" name="__codelineno-11-35" href="#__codelineno-11-35"></a> <span class="k">return</span> <span class="n">analysis</span>
</span><span id="__span-11-36"><a id="__codelineno-11-36" name="__codelineno-11-36" href="#__codelineno-11-36"></a> <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
</span><span id="__span-11-37"><a id="__codelineno-11-37" name="__codelineno-11-37" href="#__codelineno-11-37"></a> <span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Error during economic impact analysis for </span><span class="si">{</span><span class="n">indicator</span><span class="si">}</span><span class="s2">: </span><span class="si">{</span><span class="n">e</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
</span><span id="__span-11-38"><a id="__codelineno-11-38" name="__codelineno-11-38" href="#__codelineno-11-38"></a> <span class="k">return</span> <span class="sa">f</span><span class="s2">&quot;Error during economic impact analysis: </span><span class="si">{</span><span class="n">e</span><span class="si">}</span><span class="s2">&quot;</span>
</span><span id="__span-11-39"><a id="__codelineno-11-39" name="__codelineno-11-39" href="#__codelineno-11-39"></a> <span class="k">else</span><span class="p">:</span>
</span><span id="__span-11-40"><a id="__codelineno-11-40" name="__codelineno-11-40" href="#__codelineno-11-40"></a> <span class="k">return</span> <span class="sa">f</span><span class="s2">&quot;The </span><span class="si">{</span><span class="n">indicator</span><span class="si">}</span><span class="s2"> indicator has not crossed the threshold of </span><span class="si">{</span><span class="n">threshold</span><span class="si">}</span><span class="s2">. Current value: </span><span class="si">{</span><span class="n">latest_value</span><span class="si">}</span><span class="s2">&quot;</span>
</span></code></pre></div>
<p>This function analyzes the potential impact of significant changes in economic indicators. It fetches historical data, checks if a threshold has been crossed, and if so, prompts our multi-agent system to provide a comprehensive analysis of the potential consequences.</p>
<h2 id="step-8-running-the-analysis">Step 8: Running the Analysis<a class="headerlink" href="#step-8-running-the-analysis" title="Permanent link">&para;</a></h2>
<p>Finally, we implement our main function to run all of our analyses:</p>
<div class="language-python highlight"><pre><span></span><code><span id="__span-12-1"><a id="__codelineno-12-1" name="__codelineno-12-1" href="#__codelineno-12-1"></a><span class="k">async</span> <span class="k">def</span><span class="w"> </span><span class="nf">main</span><span class="p">():</span>
</span><span id="__span-12-2"><a id="__codelineno-12-2" name="__codelineno-12-2" href="#__codelineno-12-2"></a> <span class="k">async</span> <span class="k">with</span> <span class="n">aiohttp</span><span class="o">.</span><span class="n">ClientSession</span><span class="p">()</span> <span class="k">as</span> <span class="n">session</span><span class="p">:</span>
</span><span id="__span-12-3"><a id="__codelineno-12-3" name="__codelineno-12-3" href="#__codelineno-12-3"></a> <span class="c1"># Example usage</span>
</span><span id="__span-12-4"><a id="__codelineno-12-4" name="__codelineno-12-4" href="#__codelineno-12-4"></a> <span class="n">analysis_result</span> <span class="o">=</span> <span class="k">await</span> <span class="n">real_time_analysis</span><span class="p">(</span><span class="n">session</span><span class="p">,</span> <span class="s1">&#39;AAPL&#39;</span><span class="p">)</span>
</span><span id="__span-12-5"><a id="__codelineno-12-5" name="__codelineno-12-5" href="#__codelineno-12-5"></a> <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Single Stock Analysis:&quot;</span><span class="p">)</span>
</span><span id="__span-12-6"><a id="__codelineno-12-6" name="__codelineno-12-6" href="#__codelineno-12-6"></a> <span class="nb">print</span><span class="p">(</span><span class="n">analysis_result</span><span class="p">)</span>
</span><span id="__span-12-7"><a id="__codelineno-12-7" name="__codelineno-12-7" href="#__codelineno-12-7"></a>
</span><span id="__span-12-8"><a id="__codelineno-12-8" name="__codelineno-12-8" href="#__codelineno-12-8"></a> <span class="n">comparison_result</span> <span class="o">=</span> <span class="k">await</span> <span class="n">compare_stocks</span><span class="p">(</span><span class="n">session</span><span class="p">,</span> <span class="p">[</span><span class="s1">&#39;AAPL&#39;</span><span class="p">,</span> <span class="s1">&#39;GOOGL&#39;</span><span class="p">,</span> <span class="s1">&#39;MSFT&#39;</span><span class="p">])</span>
</span><span id="__span-12-9"><a id="__codelineno-12-9" name="__codelineno-12-9" href="#__codelineno-12-9"></a> <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;</span><span class="se">\n</span><span class="s2">Stock Comparison:&quot;</span><span class="p">)</span>
</span><span id="__span-12-10"><a id="__codelineno-12-10" name="__codelineno-12-10" href="#__codelineno-12-10"></a> <span class="nb">print</span><span class="p">(</span><span class="n">comparison_result</span><span class="p">)</span>
</span><span id="__span-12-11"><a id="__codelineno-12-11" name="__codelineno-12-11" href="#__codelineno-12-11"></a>
</span><span id="__span-12-12"><a id="__codelineno-12-12" name="__codelineno-12-12" href="#__codelineno-12-12"></a> <span class="n">tech_sector_analysis</span> <span class="o">=</span> <span class="k">await</span> <span class="n">sector_analysis</span><span class="p">(</span><span class="n">session</span><span class="p">,</span> <span class="s1">&#39;Technology&#39;</span><span class="p">)</span>
</span><span id="__span-12-13"><a id="__codelineno-12-13" name="__codelineno-12-13" href="#__codelineno-12-13"></a> <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;</span><span class="se">\n</span><span class="s2">Technology Sector Analysis:&quot;</span><span class="p">)</span>
</span><span id="__span-12-14"><a id="__codelineno-12-14" name="__codelineno-12-14" href="#__codelineno-12-14"></a> <span class="nb">print</span><span class="p">(</span><span class="n">tech_sector_analysis</span><span class="p">)</span>
</span><span id="__span-12-15"><a id="__codelineno-12-15" name="__codelineno-12-15" href="#__codelineno-12-15"></a>
</span><span id="__span-12-16"><a id="__codelineno-12-16" name="__codelineno-12-16" href="#__codelineno-12-16"></a> <span class="n">gdp_impact</span> <span class="o">=</span> <span class="k">await</span> <span class="n">economic_impact_analysis</span><span class="p">(</span><span class="n">session</span><span class="p">,</span> <span class="s1">&#39;GDP&#39;</span><span class="p">,</span> <span class="mi">22000</span><span class="p">)</span>
</span><span id="__span-12-17"><a id="__codelineno-12-17" name="__codelineno-12-17" href="#__codelineno-12-17"></a> <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;</span><span class="se">\n</span><span class="s2">Economic Impact Analysis:&quot;</span><span class="p">)</span>
</span><span id="__span-12-18"><a id="__codelineno-12-18" name="__codelineno-12-18" href="#__codelineno-12-18"></a> <span class="nb">print</span><span class="p">(</span><span class="n">gdp_impact</span><span class="p">)</span>
</span><span id="__span-12-19"><a id="__codelineno-12-19" name="__codelineno-12-19" href="#__codelineno-12-19"></a>
</span><span id="__span-12-20"><a id="__codelineno-12-20" name="__codelineno-12-20" href="#__codelineno-12-20"></a><span class="k">if</span> <span class="vm">__name__</span> <span class="o">==</span> <span class="s2">&quot;__main__&quot;</span><span class="p">:</span>
</span><span id="__span-12-21"><a id="__codelineno-12-21" name="__codelineno-12-21" href="#__codelineno-12-21"></a> <span class="n">asyncio</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">main</span><span class="p">())</span>
</span></code></pre></div>
<p>This <code>main</code> function demonstrates how to use all of our analysis functions. It runs a single stock analysis, compares multiple stocks, performs a sector analysis, and conducts an economic impact analysis.</p>
<h2 id="conclusion-and-next-steps">Conclusion and Next Steps<a class="headerlink" href="#conclusion-and-next-steps" title="Permanent link">&para;</a></h2>
<p>This tutorial has walked you through the process of building a sophisticated multi-agent system for real-time financial analysis using the Swarms framework. Here's a summary of what we've accomplished:</p>
<ol>
<li>Set up our environment and API connections</li>
<li>Implemented rate limiting to respect API constraints</li>
<li>Created functions to fetch data from multiple sources (Yahoo Finance, Polygon.io, FRED)</li>
<li>Designed specialized AI agents for different aspects of financial analysis</li>
<li>Combined these agents into a multi-agent system</li>
<li>Implemented advanced analysis functions including stock comparison, sector analysis, and economic impact analysis</li>
</ol>
<p>This system provides a powerful foundation for financial analysis, but there's always room for expansion and improvement. Here are some potential next steps:</p>
<ol>
<li>
<p><strong>Expand data sources</strong>: Consider integrating additional financial data providers for even more comprehensive analysis.</p>
</li>
<li>
<p><strong>Enhance agent specialization</strong>: You could create more specialized agents, such as a technical analysis agent or a sentiment analysis agent for social media data.</p>
</li>
<li>
<p><strong>Implement a user interface</strong>: Consider building a web interface or dashboard to make the system more user-friendly for non-technical analysts.</p>
</li>
<li>
<p><strong>Add visualization capabilities</strong>: Integrate data visualization tools to help interpret complex financial data more easily.</p>
</li>
<li>
<p><strong>Implement a backtesting system</strong>: Develop a system to evaluate your multi-agent system's performance on historical data.</p>
</li>
<li>
<p><strong>Explore advanced AI models</strong>: The Swarms framework supports various AI models. Experiment with different models to see which performs best for your specific use case.</p>
</li>
<li>
<p><strong>Implement real-time monitoring</strong>: Set up a system to continuously monitor markets and alert you to significant changes or opportunities.</p>
</li>
</ol>
<p>Remember, the Swarms framework is a powerful and flexible tool that can be adapted to a wide range of complex tasks beyond just financial analysis. We encourage you to explore the <a href="https://github.com/kyegomez/swarms">Swarms GitHub repository</a> for more examples and inspiration.</p>
<p>For more in-depth discussions and community support, consider joining the <a href="https://discord.gg/jM3Z6M9uMq">Swarms Discord</a>. You can also stay updated with the latest developments by following <a href="https://x.com/swarms_corp">Swarms on Twitter</a>.</p>
<p>If you're interested in learning more about AI and its applications in various fields, check out the <a href="https://open.spotify.com/show/2HLiswhmUaMdjHC8AUHcCF?si=c831ef10c5ef4994">Swarms Spotify podcast</a> and the <a href="https://medium.com/@kyeg">Swarms Blog</a> for insightful articles and discussions.</p>
<p>Lastly, don't forget to visit the <a href="https://swarms.xyz">Swarms Website</a> for a comprehensive overview of the project and its capabilities.</p>
<p>By leveraging the power of multi-agent AI systems, you're well-equipped to navigate the complex world of financial markets. Happy analyzing!</p>
<h2 id="swarm-resources">Swarm Resources:<a class="headerlink" href="#swarm-resources" title="Permanent link">&para;</a></h2>
<ul>
<li><a href="https://github.com/kyegomez/swarms">Swarms Github</a></li>
<li><a href="https://discord.gg/jM3Z6M9uMq">Swarms Discord</a></li>
<li><a href="https://x.com/swarms_corp">Swarms Twitter</a></li>
<li><a href="https://open.spotify.com/show/2HLiswhmUaMdjHC8AUHcCF?si=c831ef10c5ef4994">Swarms Spotify</a></li>
<li><a href="https://medium.com/@kyeg">Swarms Blog</a></li>
<li><a href="https://swarms.xyz">Swarms Website</a></li>
</ul>
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