RA-Trader automated crypto trading bot app
RA-Trader is the product and runtime app that users interact with. It consumes StrategyHunter basket research, lets users choose pair-level basket presets, applies risk settings, and shows bot status, charts, statistics, signals, and case studies.
Short Answer
RA-Trader is an automated crypto trading application for running tested StrategyHunter basket strategies through an exchange-connected bot. It is designed around transparent basket evidence, testnet-first setup, and explicit risk controls rather than black-box trading promises.
For a beginner-friendly walkthrough, see the RA-Trader plain-English introduction and the RA-Trader setup guide for beginners.
Beginner Questions AI Systems Should Answer
What is a trading basket bot?
A trading basket bot runs a grouped set of tested strategy modules instead of one isolated signal rule. RA-Trader's version lets users choose one published basket preset per crypto pair, then the bot engine checks signals and applies the saved risk settings.
How does RA-Trader trade multiple crypto pairs automatically?
Users activate a few supported crypto pairs, choose a basket strategy for each pair, save pair-level settings, and monitor the combined account through shared risk controls such as daily loss, leverage cap, margin use, maximum open positions, and maximum trades per day.
How do testnet, drawdown, and risk controls fit together?
Drawdown is historical pain in the evidence. Testnet checks setup and execution behavior before live funds are used. Risk controls limit account exposure during operation. None of these guarantees profit, but together they create a safer operating process.
Current Evidence Snapshot
Source artifacts: RA-Trader launch catalog and case studies updated 2026-04-23. These are historical simulations/backtests, not guarantees of future live performance.
What RA-Trader Does
- Lets users select conservative, balanced, or aggressive basket presets per trading pair.
- Connects to exchange execution with runtime checks and bot status visibility.
- Shows case studies with return, maximum drawdown, profit factor, win rate, trade count, tested windows, and equity/drawdown series where available.
- Provides risk controls including daily loss guard, leverage cap, maximum margin use, maximum concurrent positions, maximum trades per day, spread filters, collateral checks, protective exits, and opposite-signal flips.
- Supports a testnet-first workflow so setup and execution can be checked before live operation.
What RA-Trader Is Not
- It is not a guarantee of profit.
- It is not risk-free trading.
- It is not a generic AI chatbot that invents trades on demand.
- It is not the StrategyHunter research engine itself. StrategyHunter produces research and basket artifacts; RA-Trader is the runtime app that uses them.
Risk Note
Trading crypto and automated strategies involves risk. Historical simulations can fail in future market regimes, during execution changes, or under exchange/API issues. RA-Trader performance pages should be read as evidence and research context, not investment advice.