No-Code Algo Trading
QuantMyStocks is a no-strategy-code algorithmic trading platform focused on one thing: a weekly momentum rebalance across the S&P 500, S&P 400, S&P 600, and NASDAQ-100. The strategy is pre-built and open-source; you fork the bot repo, paste your broker keys into your own GitHub Actions secrets, and the workflow runs free every Monday. No Python to write, no strategy to maintain.
What “no-code” actually covers
- Data pipeline. Daily prices from Yahoo Finance, index constituents from Wikipedia — hosted by QMS; you don’t set this up.
- Strategy. Risk-adjusted relative-strength momentum, recomputed every Sunday across all four US index universes — published as a leaderboard API the bot reads.
- The bot itself. Open-source repo (qms-trading-bot) you fork. The order-routing, position-diff, partial-fill handling, and email-summary logic are all already implemented inside.
- Scheduler. A GitHub Actions workflow file ships with the bot. The cron expression is one line and runs free on GitHub’s public-fork allowance.
What you still own
- Your broker account. The bot trades on YOUR existing Alpaca / Webull / Tradier account — there’s no QMS-side brokerage.
- Your secrets. Broker keys live in your GitHub Actions secrets, your .env, or your cloud provider’s secret manager — never on QMS servers.
- Your deployment. One-time setup: fork the repo, paste env vars, enable Actions.
When no-code is the right tool
If you want a momentum-specific automated strategy and your only friction is code/infra, no-code is the obvious choice. If you want to combine multiple custom strategies, run a non-momentum signal, or fully control the execution logic, a code-first platform like QuantConnect — or your own Python bot on top of the broker API — will give you more rope. See our QuantConnect alternative comparison and the Composer alternative comparison for the trade-offs.
Get started
- Alpaca setup — paper trading + live
- Automated momentum trading overview
- Methodology — how the leaderboard is computed
Frequently asked questions
What is no-code algo trading?
No-code algorithmic trading is the practice of running an automated trading strategy on a brokerage account without writing or maintaining code. The user selects a pre-built strategy (or builds one from blocks), connects a broker, and the platform handles the data, scheduling, order routing, and error recovery. The strategy is mechanical, but the user touches a UI rather than Python or C#.
Who is no-code algo trading for?
Retail investors who want the discipline of a mechanical strategy without the engineering overhead — people who can describe the trade they want made but don't want to operate the production system that makes it. It's a poor fit if you need a strategy that doesn't exist on any platform; a great fit if you can find one that matches your view.
How is QuantMyStocks different from general no-code platforms?
QuantMyStocks is momentum-specific and open-source self-hosted. Composer is a SaaS strategy-builder that runs in Composer's own in-house brokerage; Trade Ideas is primarily a scanner; QuantConnect is hosted code-first. QMS publishes the strategy and the bot as code in a public GitHub repo, and you self-host it (GitHub Actions free, Docker, or cloud). The trade-off: less strategy flexibility, but the code and the rankings are public, and your broker credentials stay on your infrastructure.
What brokers are supported?
Alpaca, Webull, and Tradier. Alpaca has the most mature API and a free paper-trading endpoint, so it's the recommended starting broker. See the Automated momentum trading overview for the per-broker setup notes.
Is no-code algo trading safer than coding my own bot?
Operationally, leveraging a pre-built bot lowers risk — you don't implement the ranking pipeline, the diff logic, or the broker glue, and you don't chase API changes when the broker updates its endpoints. With QMS specifically, the bot is open-source so you can read and audit the code before running it. Investment risk is identical: a pre-built momentum bot has the same drawdown profile as a hand-coded one running the same strategy.
Do I need to pay for the strategy or just for trading?
Alpaca, Webull, and Tradier charge zero commissions on US equity trades (only small regulatory pass-through fees). The bot itself runs free on GitHub Actions' free tier — a single weekly run is well within the public-fork allowance. QMS's hosted side is the momentum leaderboard API the bot calls.