HeyTraders

About HeyTraders

HeyTraders is a personal AI quant tool for crypto markets that converts plain-English strategy ideas into verifiable trading logic. It combines conversational research with instant backtesting so users can test hypotheses and inspect trade-level results quickly.

Review

The product streamlines the early-stage work most independent quants face by offering a conversational interface for hypothesis testing and validation. Backtests expose trade history and configurable friction parameters, and the platform emphasizes data privacy for user strategies.

Key Features

• Natural-language-to-strategy translator: describe rules in plain English and receive deterministic strategy code and signals.
• Instant backtesting with auditability: view full trade histories and inspect individual entries/exits to verify assumptions.
• Configurable execution assumptions: default fee and slippage settings are provided (adjustable), with future support planned for orderbook-based simulations.
• Conversational market research: ask the agent for summaries of short-term market drivers and get context alongside tests.
• Privacy-minded storage: strategy chats and logic are encrypted and are not used for model training unless explicitly opted in.

Pricing and Value

The tool is available for free at launch, making it accessible for traders who want to prototype ideas without upfront cost. The value proposition is time saved on data plumbing and backtest infrastructure: instead of building pipelines, users can focus on strategy design and verification. As features like automated execution and advanced market simulation arrive, paid tiers are likely, but the free entry point provides immediate utility for experimentation and learning.

Pros

• Intuitive conversational workflow that lowers the barrier to building quant strategies.
• Backtests are inspectable at the trade level, which helps users audit assumptions like fills and timing.
• Adjustable fee and slippage settings help produce more realistic results than naive backtests.
• Encryption and opt-in data usage provide clearer control over strategy privacy.
• Focused on short-to-mid-term crypto use cases where data and verification are tractable.

Cons

• Crypto-first focus means limited support for equities fundamentals and long-term investing right now.
• Automated execution is on the roadmap but not yet available, so users must act on signals manually for now.
• Some advanced market-impact simulation (orderbook replay) is planned but not yet implemented, which can matter for high-frequency or large-size strategies.

Ideal users are independent quantitative crypto traders and researchers who want a faster way to turn ideas into testable strategies and who value auditable backtests and privacy controls. Those seeking fully automated live execution, equity fundamental analysis, or mature market-impact modeling should be prepared for some limitations until further roadmap items are shipped.