Atlas Quant

Atlas Quant is an AI-powered crypto trading system that connects directly to your Coinbase account and automates systematic trading across multiple strategies in parallel—trend following, momentum, mean reversion, dollar-cost averaging, and sentiment analysis. It enforces institutional-grade risk controls including position sizing limits (1–2% risk per trade), daily drawdown caps, and automatic stop-losses. The system only trades capital you explicitly allocate to it, leaving your core holdings and long-term positions untouched. Before running live, Atlas Quant backtests and paper-trades all strategies to validate performance. You retain full custody of your funds; the AI manages execution only. The result is professional-grade trading automation without the technical complexity or the need to hire a quant team.

Value Proposition
An AI-powered crypto trading system that connects securely to your Coinbase account, runs multiple strategies in parallel (trend, momentum, mean-reversion, DCA, sentiment), enforces institutional-grade risk controls (1-2% risk per trade, daily drawdown limits, auto stop-losses), and scales capital only after backtest and paper-trade validation. Professional-grade automation without giving up custody of funds.

Safety Rule (Non-Negotiable)
The system only trades capital you've intentionally allocated to the strategy. Long-term holdings and any funds not explicitly assigned are never touched. This prevents accidental liquidation of core positions.

Target Customer Experienced crypto investors with meaningful portfolio capital ($10K+) who want systematic, rules-based trading but lack the time or technical skill to build their own quantitative system.

lead

Team Lead

Team management, task planning, delegation, and monitoring

Frontend Developer

Builds the Atlas Quant monitoring dashboard on port 3000. Creates real-time visualizations for portfolio value, active strategies, risk metrics, trade history, and system status. Uses lightweight frontend tech (HTML/CSS/JS or simple React/Vite). Works with the team to expose the right data endpoints from the Python backend.

Quant Strategy Developer

Designs, implements, and validates trading strategies. Builds the strategy engine that runs multiple strategies in parallel (trend following, breakout detection, mean reversion, momentum, DCA, sentiment scoring). Creates the backtesting framework and paper trading mode. Develops market signal generators from price action, volume, and on-chain data.

Trading Systems Engineer

Builds the core trading infrastructure: Coinbase API integration (Python, CCXT or Coinbase SDK), order execution engine, risk manager (position sizing, drawdown limits, stop-loss/profit-taking), trade journal, portfolio management, and the real-time monitoring loop. Writes production-grade Python with error handling, logging, and rate limiting.

Connect your Coinbase account via API keys (read and trading permissions only)
Define your trading capital allocation and risk parameters (position size, daily drawdown limit)
Review backtest and paper-trade results for your chosen strategies
Activate live trading when you're confident in the strategy performance
Monitor trades and performance via the real-time dashboard

No additional MCPs or external tools required.

Overview

Mission

The team

Setup