Description:
Algo trading has traditionally seemed out of reach for non-programmers. AI coding assistants are changing that.
In this video, Karthik Rangappa, an experienced trader but a non-programmer, builds his very first semi-automated algo with Akshay guiding him through the process. Using simple natural-language prompts and an AI coding assistant, they go from a simple moving-average crossover idea to an actionable screener — without Karthik having to write a single line of code.
From setting up the required tools and connecting to Kite Connect to building the trading logic and turning it into a working dashboard, the video walks through the entire process step by step, showing how AI coding assistants can make algo trading far more accessible to traders who don't know how to code.
Time Stamps
00:00 — Introduction: Building your first algo without coding
01:05 — What is an algo?
03:15 — Semi-automated vs fully automated algos
04:46 — The trading idea: 6-day & 30-day SMA crossover
06:12 — Setting up the AI agent & prerequisites
12:43 — Setting up Zerodha's Algo Application
20:20 — Understanding API key, API secret & access token
25:04 — Generating your Algo's login URL
27:58 — Building the algo with a natural-language prompt
34:09 — The first working algo is ready
35:26 — Building a user-friendly dashboard/UI
38:19 — Cost of Kite Connect & Codex
40:18 — Launching the finished dashboard
44:35 — Algo generates the SMA crossover signals
44:57 — Verifying a signal on the Kite chart
46:09 — Why this is a semi-automated algo
Algo Trading Prompt: https://docs.google.com/document/d/1frk-PZXvintkZGZJ-egp3aOTeqxlQIONBV3MR4gkQ5Y/edit?usp=sharing
Open a Kite Developer account: https://developers.kite.trade/login
Kite API Documentation: https://kite.trade/docs/connect/v3/
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