HeyTraders - Personal AI quant research & backtest with natural language

Hi Hunters! 👋 I’m Soonbeom, founder of HeyTraders.

The Story: I previously worked as a quantitative researcher at a crypto trading firm. Back then, I could focus on finding alpha because a dedicated engineering team handled the data and infrastructure.

But when I tried to trade my own strategies as an independent quant, I hit a wall. I spent 90% of my time building data pipelines and backtesting engines from scratch, and only 10% on actual trading. I realized: "Retail traders don't lack ideas. They lack the infrastructure."

The Solution: That’s why I built HeyTraders. It’s a Personal AI Quant that integrates research, backtesting, and validation into one conversation.

What you can do right now (MVP):

🔍 Ask Anything: "Why is Bitcoin moving today?" Our agent summarizes the key drivers.

📊 Verify Your Ideas: Just describe your strategy in plain English (e.g., "Buy ETH if RSI < 30"). We run the backtest and show you the win rate in seconds.

Roadmap (Coming Soon): 🚧 Automated Execution: Currently, we provide the trade signals and validation. Direct broker connection for auto-execution is our next priority.

📱 Mobile App: To receive real-time push notifications for the signals generated by your agent, download the app here

• iOS: https://apps.apple.com/app/id6754526355

• Android: https://play.google.com/store/apps/details?id=com.heytraders.mobile

Note: Your chat and strategies are fully encrypted and we never train on your data unless you opt-in.

I’d love your feedback: For those trading solo—what is the biggest pain point in trading crypto?

Thanks for checking us out! 🚀

instant backtesting is great, but slippage is the real killer in crypto. does the simulation engine account for exchange fees and liquidity, or is it just raw price data?

Huge congrats on the launch! 🚀 Turning natural language into verifiable crypto quant strategies is a powerful unlock for serious traders on PH.​

Congrats for the launch. Curious if this is for short-term trading or long-term investing. Does it consider company fundamentals and news?

The 'instant backtesting' part is what caught my eye because I always wonder if my ideas would have actually worked in the past. I wonder how far back the data goes does it test against years of market history or just the last few months of trends?

Instantly validate ideas is its biggest selling point. Being able to quickly view a strategy’s historical performance has greatly boosted my willingness to experiment with new ideas. That said, are the backtesting parameter settings (e.g., transaction fees, slippage) flexible enough to adapt to the actual market conditions of different cryptocurrency trading pairs?

The idea is interesting, but in this case my first question is: “How accurate are the algorithm’s recommendations, and can it make mistakes?” The answers determine profits or losses.

Completing the entire process from research and validation to gaining confidence in one single platform – without switching between multiple software tools – has significantly improved efficiency. I wonder if there are plans to integrate simple paper trading or strategy monitoring features in the future, to make the whole journey from idea to simulated practice more complete?

Hey-Hunters! 👋 I'm Minseom, co-founder of HeyTraders.

While Soonbeom brings the quant expertise, I've been focused on making sure your data stays yours.

Here's our promise:

Your trading strategies are fully encrypted and stored securely.

We only use system data for stability improvements — never for training, never sold to third parties.

Your alpha stays your alpha.

We're just getting started, and your feedback means everything to us.

Try it out and let us know what you think — the good, the bad, all of it! 🙏

Wishing you all a great day ahead! 🌟

Interesting idea, would love to know if there will be a market for strategies later on, or even combo things together for better risk control