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Open-source Go toolkit for retail traders. Connect Tiger, Moomoo, eToro, Alpaca, IBKR, or Zerodha — same commands, any broker. 18 tools: scanner bots, backtester, journal, scheduler, risk controller with circuit breaker. AI-ready — Claude runs scans and analysis in plain English. Paper mode by default, nothing touches your broker until you say so. Strategy packs included: SG Dividend, US Earnings, Index Momentum. Credentials stay local. MIT licensed. git clone, make all, and you're running.
I trade on Tiger (Singapore), Moomoo, and Alpaca (US). The problem: automating analysis across multiple brokers is painful. Different APIs, different data formats, different quirks.
So I built trade-kit — a set of CLI tools that abstract the broker away. Connect whichever accounts you have, and the analysis layer works the same across all of them.
What makes it different:
6 brokers in one toolkit — Tiger, Moomoo, eToro, Alpaca, IBKR, Zerodha. Same commands, any broker.
Claude runs the analysis — you don't need to know CLI flags. Just say "backtest a moving average crossover on SPY" and it does it.
The safety net — a circuit breaker that kills all bots on drawdown. The part I trust most isn't the part that finds trades — it's the part that stops them.
Paper mode by default — nothing is live until you explicitly say so.
It's MIT licensed, pure Go, zero external dependencies, single binary per tool.
I built this for myself first. Now it supports traders in the US, India, Singapore, Canada, UK, and anywhere IBKR operates.
Repo: https://github.com/Orbital-Trade...
Happy to answer anything about the architecture, the strategies, or the broker integrations. AMA.
Trade Kit was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #35 on the daily leaderboard. Open-source Go toolkit for retail traders. Connect Tiger, Moomoo, eToro, Alpaca, IBKR, or Zerodha — same commands, any broker. 18 tools: scanner bots, backtester, journal, scheduler, risk controller with circuit breaker. AI-ready — Claude runs scans and analysis in plain English. Paper mode by default, nothing touches your broker until you say so. Strategy packs included: SG Dividend, US Earnings, Index Momentum. Credentials stay local. MIT licensed. git clone, make all, and you're running.
On the analytics side, Trade Kit competes within Fintech, Investing, GitHub and Data & Analytics — topics that collectively have 120.9k followers on Product Hunt. The dashboard above tracks how Trade Kit performed against the three products that launched closest to it on the same day.
Who hunted Trade Kit?
Trade Kit was hunted by Juan Pablo Ramirez Angeloni. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Trade Kit including community comment highlights and product details, visit the product overview.
Juan Pablo Ramirez Angeloni