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TradeStaq
The trading bot you describe. Not the one off-the-shelf.
TradeStaq is an automated trading platform that lets anyone — from complete beginners to professional quant traders — build, test, and deploy trading bots on crypto exchanges without writing code or managing servers. The core idea: you describe what you want your bot to do in plain English, and our AI (FORGE) writes the strategy code, backtests it against years of historical data, and deploys it to your exchange account — all in minutes.
Hey everyone! 👋 I'm Olumide, founder of TradeStaq.
The backstory: I got into algo trading in 2024 and built two strategies — MFRider and GhostRider — on a third party algo trading platform. Over the following months, both strategies consistently dominated the leaderboards. Traders were making real money with them.
But the experience of building and running those strategies frustrated me. The tools were clunky. Testing was painful. Deploying across exchanges meant duct-taping APIs together. Managing servers at 3am when something broke wasn't sustainable.
I kept thinking: I know what a great trading strategy looks like. Why is the platform the bottleneck?
TradeStaq is my answer to what a complete algo trading platform should be — with the edge built right in.
What I built:
Tell our AI (FORGE) something like: "Buy ETH when the 4h RSI drops below 30 and the daily trend is bullish. Trail a 2% stop loss." — it writes the strategy code, backtests it against months of real market data, shows you the performance metrics, and deploys it to your exchange. Minutes, not weeks.
The part I'm most proud of is Strategy Lab — an AI optimizer that takes a strategy and autonomously experiments on it. It mutates the code, backtests each version, keeps what improves the score, throws away what doesn't. Like having a quant researcher iterating on your strategy around the clock. This is how I'd have built MFRider and GhostRider if this tool existed back then.
What you can do today (free):
- Describe a strategy in English → FORGE builds it
- Backtest against real historical data with institutional-grade metrics
- Paper trade with virtual funds — full platform, zero risk
- Copy top traders or browse the strategy marketplace
- Connect 15+ exchanges (Binance, Bybit, Hyperliquid, KuCoin, OKX, and more)
What makes this different:
I've been on both sides — building winning strategies and suffering through the platforms they run on.
TradeStaq is what I wished existed when I was manually backtesting GhostRider variants at 2am. The AI doesn't just execute trades, it helps you discover better strategies through systematic experimentation.
I'd love feedback on:
1. Does the AI builder produce strategies that make sense to you?
2. Is paper trading close enough to real trading to build confidence?
3. What exchanges or features are missing?
Try it free at tradestaq.com — paper trading doesn't even require API keys.
Happy to answer anything! 🚀
How does FORGE handle strategy edge cases like partial fills or exchange API rate limits when running in live mode?
Tried it yesterday and the plain English to strategy code thing actually works. Wrote a basic RSI bot, backtested over two years of data, and had it running on my Binance account before lunch.
how does FORGE handle edge cases or ambiguous strategy descriptions when you throw something vague at it, and does it flag potential issues before deployment?
How does FORGE actually decide which exchange APIs it works with, and can I run multiple strategies on the same account without them stepping on each other's trades?
Curious how FORGE handles edge cases or strategy logic that is ambiguous on purpose, like "buy the dip" — does it ask for clarification or just make assumptions and run with them?
The plain English to strategy code pipeline sounds like the real win here, that's a lot of plumbing that usually scares people off. Curious how flexible FORGE gets once you want to layer in custom indicators or risk rules beyond the basics.
How does FORGE handle strategy logic that needs real-time market context like funding rates or liquidation data across multiple exchanges, or is it mostly working off price and volume candles?
The plain English to strategy code flow feels like a real unlock, especially how the backtest results sit right next to the deployment step instead of buried in a separate tab.
About TradeStaq on Product Hunt
“The trading bot you describe. Not the one off-the-shelf.”
TradeStaq was submitted on Product Hunt and earned 7 upvotes and 15 comments, placing #39 on the daily leaderboard. TradeStaq is an automated trading platform that lets anyone — from complete beginners to professional quant traders — build, test, and deploy trading bots on crypto exchanges without writing code or managing servers. The core idea: you describe what you want your bot to do in plain English, and our AI (FORGE) writes the strategy code, backtests it against years of historical data, and deploys it to your exchange account — all in minutes.
TradeStaq was featured in Fintech (47.2k followers), Artificial Intelligence (473.1k followers) and Web3 (7.8k followers) on Product Hunt. Together, these topics include over 134.7k products, making this a competitive space to launch in.
Who hunted TradeStaq?
TradeStaq was hunted by Olumide Omotoso. 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.
Want to see how TradeStaq stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Olumide Omotoso