20+
Years of Trading
Experience
Experience
800,000
Recognized by Global
Clients
Clients
200
Access to Global Trading
Markets
Markets
127
Research and
Development Personnel
Development Personnel
46
Partnerships with Professional
Experience Unmatched Liquidity with VoidMetrix
VoidMetrix is at the pinnacle of multi-asset class quantitative trading, offering
unrivaled
liquidity across global markets directly to our clients. Our cutting-edge computing environment, one
of the
most advanced in the world, supports intensive research, sophisticated development, precise
modeling, and
comprehensive risk management. This technological prowess ensures that we lead the charge in
financial market
innovation.
Our superior technological and research capabilities give us unparalleled control over financial operations, allowing us to provide robust, reliable, and efficient trading solutions. As visionary market leaders, we are devoted to maintaining the health, sustainability, and longevity of global markets, ensuring our clients enjoy unparalleled financial security and growth.
Our superior technological and research capabilities give us unparalleled control over financial operations, allowing us to provide robust, reliable, and efficient trading solutions. As visionary market leaders, we are devoted to maintaining the health, sustainability, and longevity of global markets, ensuring our clients enjoy unparalleled financial security and growth.
Advanced Automated Trading and
Liquidity Provider
Liquidity Provider
Deep Learning and Machine Learning
We utilize deep learning techniques, such as Convolutional Neural Networks
(CNN) and Long
Short-Term Memory (LSTM) networks, to analyze and predict market trends. These models
help us extract
valuable features from large volumes of market data and identify complex temporal
dependencies and
market
patterns, leading to more accurate market forecasts.
Convolutional Neural Networks (CNN): Primarily used for feature
extraction from market
data. CNNs excel in identifying important patterns in stock data, similar to
their application in
image and feature extraction tasks.
Long Short-Term Memory (LSTM) Networks: Well-suited for handling time
series data,
LSTMs
can recognize long-term dependencies and patterns in data, enabling precise
predictions.
Automated Trading Algorithms
We have developed advanced automated trading algorithms to optimize trade
execution. These
algorithms can analyze market data in real-time, making swift and precise trading
decisions to achieve
optimal trade execution.
Smart Order Routing (SOR): Automatically selects the best trading
venues to minimize
trading costs and maximize execution speed.
Execution Algorithms: Such as TWAP (Time-Weighted Average Price) and
VWAP
(Volume-Weighted Average Price), used to spread large trades and reduce market
impact.
Hybrid Models
VoidMetrix combines multiple models, such as ARIMA and neural networks, to
enhance
prediction
accuracy. Hybrid models leverage the strengths of each model, yielding more reliable
forecasting
results.
ARIMA Models: Utilized for time series forecasting, capturing trends
and seasonal
variations in data.
By integrating these models, we can comprehensively analyze market
data, improving the
accuracy and stability of our predictions.
Technical Analysis and
Fundamental Analysis
Fundamental Analysis
We integrate technical and fundamental analysis to provide comprehensive
market insights.
Technical analysis helps us identify market trends and price patterns, while fundamental
analysis allows
us to understand the economic factors driving the market.
Technical Analysis: Includes trend analysis, chart patterns, and
indicators to forecast
market movements and price changes.
Fundamental Analysis: Involves evaluating a company's financial
statements, industry
trends, and economic indicators to assess its intrinsic value and future growth
potential.
