<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Trading on Rahul Lamba</title><link>https://rahullamba.com/tags/trading/</link><description>Recent content in Trading on Rahul Lamba</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 09 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://rahullamba.com/tags/trading/index.xml" rel="self" type="application/rss+xml"/><item><title>algovest.online</title><link>https://rahullamba.com/projects/algovest/</link><pubDate>Sat, 09 May 2026 00:00:00 +0000</pubDate><guid>https://rahullamba.com/projects/algovest/</guid><description>&lt;p&gt;algovest.online is an algorithmic trading platform that uses AI agents to research, backtest, and execute trading strategies. It combines quantitative finance with large language models to surface insights and automate decision-making across markets.&lt;/p&gt;
&lt;h2 id="what-it-does"&gt;What it does&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Strategy research&lt;/strong&gt; — AI agents analyze market data and propose trading strategies&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Backtesting&lt;/strong&gt; — evaluate strategies against historical price data before deploying capital&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Signal generation&lt;/strong&gt; — LLM-driven signals based on technical and fundamental inputs&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Portfolio management&lt;/strong&gt; — track positions, risk, and performance across strategies&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Live trading&lt;/strong&gt; — execute strategies against real markets&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="stack"&gt;Stack&lt;/h2&gt;
&lt;p&gt;Python, Next.js, React, LLM agents&lt;/p&gt;</description></item></channel></rss>