Quantitative Investment Solutions

Institutional-Grade Alpha Generation

Our proprietary machine learning algorithms analyze market microstructure to identify alpha opportunities across asset classes with institutional-grade backtesting.

Trusted by the world's leading financial institutions

OUR SOLUTIONS

Quantitative Investment Products

Comprehensive suite of quantitative models designed to generate alpha across market conditions

Alpha Matrix

Multi-factor equity model combining fundamental, technical and alternative data signals with machine learning integration.

Equities ML-Driven Global
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Quantum FX

High-frequency currency model analyzing order flow dynamics and macroeconomic catalysts across G10 and EM pairs.

Forex HFT Macro
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Commodity Edge

Cross-asset commodity strategy incorporating futures term structure, inventory data and geopolitical risk factors.

Commodities Term Structure Global
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Fixed Income AI

Rates and credit model combining central bank policy analysis with deep learning yield curve forecasting.

Fixed Income AI-Driven Macro
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Crypto Quant

Digital assets strategy analyzing blockchain data, exchange flows and market sentiment with machine learning.

Crypto Blockchain Alternative Data
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Portfolio Architect

Risk-managed portfolio construction system optimizing allocation across all Rayoux models and client holdings.

Portfolio Risk Mgmt Optimization
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MODEL PERFORMANCE

Proven Track Record Across Market Regimes

Our composite model has consistently delivered alpha through various market environments, with rigorous risk management protocols.

0.82
Avg. Sharpe Ratio
15.2%
Annualized Return
9.8%
Max Drawdown
0.18
Beta to S&P 500

Composite Model Performance (2018-2023)

Annual Return
+15.2%
Volatility
12.8%
Win Rate
63.5%
alpha_model.py
import tensorflow as tf
from rayoux.models import AlphaNet
import pandas as pd

class MarketMicrostructureModel:
def __init__(self):
self.model = AlphaNet(layers=[256, 128, 64])
self.scaler = StandardScaler()

def predict_alpha(self, market_data):
X = self.scaler.transform(market_data)
return self.model(X)
TECHNOLOGY

Cutting-Edge Quantitative Research Platform

Our proprietary technology stack combines the latest advances in machine learning with decades of financial market expertise.

Deep Learning Architecture

Neural networks trained on decades of market data to identify non-linear patterns and complex relationships.

Alternative Data Integration

Proprietary data pipelines processing satellite imagery, credit card transactions, and web traffic data.

Institutional-Grade Security

Bank-level encryption and multi-factor authentication protecting all client data and proprietary models.

Ready to Enhance Your Investment Process?

Discover how Rayoux's quantitative models can provide sustainable alpha generation for your portfolio with institutional-grade technology.