Frosty documentation
High‑level docs for how X‑FROSTY AI BOT works: what it trades, what the engine watches and how to use the dashboard safely.
What Frosty trades
Frosty is built for forex pairs, major indices, metals, crypto and synthetic indices through connected brokers like Deriv. You always trade on your own accounts; Frosty never holds client funds.
How the engine works
Multiple AI “brains” score structure, candles, volatility and market regime. A risk engine then decides whether a setup deserves risk or should be skipped. Positions are managed with fixed stops and target R‑multiples.
Risk‑first usage
Start on demo, connect a small live account later, keep daily loss limits tight and treat the bot as a disciplined assistant – not a get‑rich‑quick machine. The performance board shows results in R instead of just money.
Core pages
Dashboard
Connect brokers, choose symbols, start/stop the engine and review PnL and learning stats. This is where you control everything Frosty does on your accounts.
Forex Tutor
A full School of “Frostology” that explains forex from preschool to advanced structure – the same ideas Frosty uses internally, but in human language.
Support & tickets
Use the dashboard chat to ask questions, raise tickets for broker/API changes or account issues, and escalate conversations to a human support agent when needed.
Getting started checklist
Prepare your setup
Create a private environment file, configure PostgreSQL, set your Deriv app ID and token, and add any OpenAI or news API keys. Keep all secrets off the frontend and out of public repositories.
Connect and observe
Register, log in, connect your Deriv account from the dashboard and let the engine run first in analysis or demo mode. Watch signals, open trades and the performance board before risking real money.
Scale slowly
Only scale up risk once you understand Frosty's rules and are comfortable with normal winning and losing streaks. The bot is built to protect and grow accounts over time, not to chase one big trade.