Institutional-grade quant infrastructure

Quantitative Trading
Reimagined

Build alpha-generating strategies with institutional-grade tools. From research to execution, QuantEdge AI accelerates every step of your quantitative workflow.

ML-Powered
Enterprise Security
Real-time Analytics

14-day free trial • No credit card required • Full platform access

< 50ms
Average API Latency
Lightning-fast response times
15+
Supported Asset Classes
Equities, futures, options, crypto, and more
99.95%
Platform Uptime
Enterprise-grade reliability
10B+
Historical Data Points
Decades of market data
MARKETS
AAPL213.47+0%
MSFT449.82+0%
NVDA131.05+0%
AMZN219.34+0%
GOOGL178.92+0%
META597.41+0%
TSLA342.61+0%
SPY597.18+0%
QQQ521.74+0%
AMD122.88+0%
NFLX891.36+0%
JPM248.55+0%
XOM108.73+0%
BTC96,842.50+0%
ETH3,621.18+0%
10-100x
Faster Backtesting
1000+
Active Traders
< 50ms
API Latency
15+
Asset Classes

Enterprise-Grade Infrastructure You Can Trust

Built on battle-tested technology with security and reliability at the core

Military-Grade Encryption

AES-256 encryption for data at rest and in transit

Zero-Knowledge Architecture

Your proprietary strategies never leave your control

Multi-Region Redundancy

Distributed infrastructure across global data centers

Real-Time Monitoring

Proactive system health checks and instant alerts

See It In Action

Build and test strategies in minutes, not hours

Quick Stats

Sharpe Ratio1.42
Total Return+96.3%
Max Drawdown-23.6%
Win Rate53.6%

Strategy Implementation

# Simple momentum strategy
import quantedge as qe

class MomentumStrategy(qe.Strategy):
    def __init__(self):
        self.lookback = 20
        self.threshold = 0.02
    
    def on_data(self, data):
        returns = data.close.pct_change(self.lookback)
        
        if returns > self.threshold:
            self.buy(size=100)
        elif returns < -self.threshold:
            self.sell(size=100)

# Run backtest
strategy = MomentumStrategy()
results = qe.backtest(
    strategy,
    start='2020-01-01',
    end='2024-01-01',
    capital=100000
)
Python 3.11 • QuantEdge SDK v2.4.0

Complete Quantitative Trading
Ecosystem in One Platform

From alpha discovery to live execution - every tool you need to build winning strategies

Alpha Discovery Engine

Uncover market inefficiencies with ML-powered factor analysis, signal correlation matrices, and predictive modeling tools.

50+ pre-built factors
Custom factor creation
Correlation analysis
Signal strength scoring

Vectorized Backtesting

Lightning-fast strategy validation with event-driven simulation, realistic slippage models, and tick-level precision.

10-100x faster execution
Tick-level accuracy
Walk-forward analysis
Monte Carlo simulation

Unified Data Pipeline

Seamless access to 50+ data providers - equities, derivatives, crypto, macro indicators, and alternative datasets.

50+ data sources
Real-time streaming
Historical archives
Custom data upload

Virtual Trading Environment

Test strategies in production-like conditions with real market microstructure, order book dynamics, and latency simulation.

Realistic order fills
Market impact modeling
Latency simulation
Multi-venue routing

Intelligent Risk Engine

Multi-dimensional risk analysis with VaR, CVaR, stress testing, scenario analysis, and automated circuit breakers.

Real-time VaR/CVaR
Stress testing
Position limits
Auto circuit breakers

Smart Order Router

Optimize execution across venues with TWAP, VWAP, iceberg orders, and custom algorithmic routing strategies.

TWAP/VWAP algos
Smart order routing
Execution analytics
TCA reporting

Performance Attribution

Decompose returns by factor, sector, timing, and selection with Brinson attribution and custom analytics.

Brinson attribution
Factor decomposition
Risk-adjusted metrics
Custom reporting

Research Collaboration Hub

Version-controlled strategy development with peer review workflows, shared notebooks, and reproducible research.

Git integration
Shared notebooks
Code review tools
Team permissions

Performance

backtest Speed
10-100x faster than legacy platforms
latency
< 50ms average API response
throughput
1M+ ticks per second
uptime
99.95% SLA

Scalability

strategies
Unlimited concurrent strategies
data
10B+ historical data points
users
Team collaboration up to 100 users
compute
Auto-scaling cloud infrastructure

Security

encryption
AES-256 encryption at rest and in transit
authentication
Multi-factor authentication
compliance
SOC 2 Type II in progress
privacy
Zero-knowledge architecture

Why Choose QuantEdge AI?

Modern infrastructure vs. legacy platforms

Feature
QuantEdge AI
Legacy Platforms
Vectorized Backtesting
GPU Acceleration
Python/R Integration
Real-time Streaming
ML Model Integration
Jupyter Notebooks
WebSocket API
Multi-asset Support
Cloud-native
Auto-scaling

Your Strategy Journey, Streamlined

A proven methodology that takes you from idea to production with confidence and precision

Discover

Mine market data for alpha signals using statistical and ML techniques

Validate

Rigorous backtesting with walk-forward analysis and out-of-sample testing

Simulate

Real-time paper trading with production-grade infrastructure

Optimize

Continuous performance monitoring and parameter tuning

Deploy

Seamless transition to live trading with full audit trail

Seamless Integrations

Connect to your favorite data providers and brokers with one click

Data Providers

B
Bloomberg
Market Data
R
Refinitiv
Market Data
Q
Quandl
Alternative Data
AV
Alpha Vantage
Market Data
P
Polygon.io
Real-time Data
IEX
IEX Cloud
Market Data

Execution Partners

IB
Interactive Brokers
Execution
A
Alpaca
Execution
TD
TD Ameritrade
Execution

Need a custom integration? We can help.

Real-Time Analytics Dashboard

Monitor strategy performance, risk metrics, and market exposure in one unified interface

Snapshot · updates on refresh
Total Return
+13.20%
Equity $113,200
Sharpe Ratio
1.68
Volatility 11.4%
Current Drawdown
-0.79%
Max -5.8%
Win Rate
57.2%
1,284 trades

Equity Curve

$100,000 → $113,200

Drawdown

Max -5.8%

Strategy Performance

StrategyStatusSharpeReturn
Cross-Sectional Momentum
US Equities
Live1.84+19.7%
Intraday Mean Reversion
ETFs
Live1.52+12.4%
Vol Carry (SPX)
Options
Live0.94+8.2%
Trend Following
Futures
Paper1.21+6.5%
Pairs Trading (Energy)
US Equities
Paper-0.38-3.1%

Order Log

Last 7 fills
TimeSymbolSideQtyPriceStatus
--:--:--AAPLBUY25$212.62Filled
--:--:--GOOGLSELL100$178.56Filled
--:--:--NVDABUY175$131.05Filled
--:--:--SPYSELL250$598.37Partial
--:--:--MSFTBUY325$451.62Pending
--:--:--AMDSELL400$122.39Filled
--:--:--AMZNBUY475$218.90Filled

Risk Alerts

Vol Carry (SPX) drawdown exceeded -10% threshold

Gross exposure at 142%, within 150% limit

Pairs Trading (Energy) breached daily loss limit

Portfolio Exposure

Gross 142%
Technology34%
Financials21%
Energy14%
Healthcare12%
Consumer11%
Cash8%

Trusted by Quantitative Traders

Real feedback from traders who use QuantEdge AI daily

"The vectorized backtesting engine is incredibly fast. What used to take hours now completes in minutes. The Python integration is seamless."

MC
Dr. Michael Chen
Quantitative Researcher
Independent

"We migrated from a legacy platform and the difference is night and day. The ML tools and real-time risk monitoring have transformed our workflow."

SW
Sarah Williams
Head of Trading
Systematic Capital

"Finally, a platform that understands modern quant workflows. The Jupyter integration and API design are exactly what we needed."

JR
James Rodriguez
Algo Trader
PropShop Trading

Simple, Transparent Pricing

Scale as you grow - from individual traders to institutional desks

Researcher

Perfect for independent quants and algo traders

$249/month
  • 10,000 backtest runs per month
  • 10 years historical data
  • Python & R integration
  • 1 live paper trading strategy
  • Community support forum
  • REST API access
  • Basic risk analytics
Most Popular

Professional

For serious traders and small hedge funds

$899/month
  • Unlimited backtest runs
  • 20 years historical data
  • 5 concurrent paper strategies
  • Advanced ML tools & notebooks
  • Real-time risk monitoring
  • Priority email & chat support
  • Custom data connectors
  • Performance attribution suite
  • WebSocket streaming API

Institution

Tailored for institutional trading desks

Custom
  • Everything in Professional
  • Unlimited concurrent strategies
  • White-label deployment
  • Dedicated cloud infrastructure
  • Custom compliance workflows
  • 24/7 phone support + Slack
  • On-site training sessions
  • Multi-user team management
  • Custom SLA agreements

All plans include 14-day free trial • No credit card required • Cancel anytime

Questions? We Have Answers

Everything you need to know about QuantEdge AI

QuantEdge AI combines institutional-grade infrastructure with modern developer experience. Unlike legacy platforms, we offer vectorized backtesting (10-100x faster), native Python/R integration, and ML-first tooling. Our unified data pipeline eliminates the complexity of managing multiple vendor APIs.

Ready to Transform Your Trading?

Join 1000+ quantitative traders who are already building better strategies with QuantEdge AI

14-day free trial with full platform access
No credit card required to start
Cancel anytime, no questions asked
Dedicated onboarding support

Questions? Email us at sales@quantedge.ai

Important Risk Disclosure

Trading involves substantial risk. Systematic trading strategies, algorithmic models, and quantitative techniques do not guarantee profits and may result in significant losses. QuantEdge AI is a software platform providing research, analytics, and workflow automation tools only.

No financial advice. We do not provide investment advice, trading recommendations, or portfolio management services. All trading decisions, risk management, and compliance obligations are solely your responsibility. Consult qualified financial advisors before making investment decisions.

Backtesting limitations. Historical performance and simulated results do not predict future outcomes. Backtests may not reflect real-world conditions including market impact, liquidity constraints, execution delays, and regime changes. Overfitting and data-snooping bias can produce misleading results.

Platform limitations. While we strive for accuracy and reliability, QuantEdge AI provides all tools and data "as is" without warranties. System outages, data errors, and software bugs may occur. Users should implement independent risk controls and never rely solely on automated systems.

By using QuantEdge AI, you acknowledge these risks and agree that HIVEMIND MEDIA PTE. LTD. is not liable for trading losses, missed opportunities, or system failures.