The Quant Platform That Can

From strategy research to live execution — one AI-powered platform for your entire quantitative workflow.

SerenQuant Agent
Backtest momentum strategy on NASDAQ-100 with 2-year lookback
AgentRunning backtest... Strategy returned +34.2% annualized with Sharpe 1.8. Walk-forward validation passed on 3/3 folds.
Deploy to paper trading
Agent✓ Deployed to Alpaca Paper. Live monitoring active.

Everything You Need to Research & Trade

An end-to-end platform for systematic strategy development, from data acquisition through live execution.

Unified Market Intelligence

Normalized access to equities, FX, crypto, options, and macro data across 22+ institutional and alternative providers.

Rigorous Backtesting

Walk-forward validation, parameter optimization, and out-of-sample holdout testing — built into every backtest run.

Real-Time Execution

Live and paper trading with automatic position sizing, pre-trade compliance checks, and emergency kill-switch controls.

Portfolio Attribution

Sharpe, Sortino, drawdown analysis, sector exposure, and factor attribution across your entire portfolio.

Governance & Compliance

Multi-tenant workspaces with role-based access, MFA, full audit trail, and model governance controls.

AI Research Agent

Conversational interface that researches, backtests, and deploys strategies — reducing weeks of manual work to minutes.

DATA LAYER

Unified Market Data

  • Equities, FX, crypto, options, and macro indicators through a single normalized API
  • Automatic deduplication and time-series storage optimized for financial data
  • Cross-currency conversion engine for multi-asset portfolio analysis
Live Feed
SymbolPriceChange
AAPL189.84+1.23%
EURUSD1.0872-0.15%
BTC67,432+3.41%
TSLA248.50+0.87%
RESEARCH ENGINE

Rigorous Backtesting

  • Single-instrument and portfolio-level backtests with realistic transaction costs
  • Walk-forward optimization, parameter sweeps, and out-of-sample holdout validation
  • Monte Carlo permutation testing and robustness suite for strategy sign-off
class MomentumStrategy(TradingAlgorithm):
def generate_signals(self, data):
rsi = compute_rsi(data, 14)
Equity Curve+34.2%
EXECUTION

Live Trading

  • Paper and live execution through Alpaca with automatic position sizing and risk limits
  • Priority-based order routing across critical, standard, and bulk execution queues
  • Real-time P&L monitoring with configurable drawdown alerts and kill-switch controls
LiveAlpaca Paper
Unrealized P&L
+$1,284
Positions
5

How It Works

1

Connect Your Data

Integrate with 22+ institutional data providers or ingest proprietary datasets via CSV and Parquet.

2

Research & Validate

Build strategies in Python or through the AI agent. Validate with walk-forward analysis and robustness testing.

3

Deploy & Monitor

Execute on paper or live markets through Alpaca. Monitor positions, risk, and P&L from a unified dashboard.