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Moneta thrives
at the cutting edge of computer science -
Where artificial intelligence is changing how we see finance -
Offering real-time
Dynamic and accurate benchmarks -
For integrable financial market technology
AI-Powered Financial Insights and Data for Next-Generation Trading Systems
The Future of Quantitative Software Development, Today
Moneta is a team of market practitioners, computer scientists and AI specialists creating quantitative systems software that delivers revolutionary insights and capabilities.
FINTECH Frontier
Moneta is a platform for the integration of AI financial technology — a rapidly developing pillar of fair and open markets worldwide.
As a FINTECH innovator, Moneta partners with investment companies, funds and financial entities to develop bespoke trading systems that integrate advanced AI computations with real-world financial data. The result is a technological infusion of strategic assets and AI initiatives with the power of proactive decision-making, automated growth and innovation leadership.
We are passionate about the emergence of AI technology as an integrated feature of advanced trading software and global finance. AI can attribute research and development to trading activities via customized timescales and dynamics — revealing the benefits of data, trend and chart analysis through ever-evolving algorithmic processes. We provide tools to enhance the performance of AI software as well as platforms for the development of proprietary software tailored to client specifications.
Bespoke FINTECH Systems, Portfolios and Partnerships
Moneta’s proprietary AI software, which also includes ML (machine learning), is adaptive to every client’s unique specifications and can serve as a platform for experimental and live trading systems, performance analytics and portfolio development across a full-range of market types and trading strategies. We also offer exclusive client partnerships in a dedicated team capacity to develop and align custom parameters, implement proprietary trading technology, and optimize performance, risk and returns across variable time horizons.
Our dedicated team of data scientists and software engineers deploy proprietary Machine Learning algorithms that adapt to client benchmarks and goals — allowing for perpetual fine-tuning and back-testing against live and historical datasets. Our services include innovative tools for software development as well as custom-tailored software developed for unique client needs.
Integrated Rules-Based AI Systems
Moneta software is equipped with customizable features that leverage Rules-Based AI and achieve software integration for trading financial instruments with penetrating clarity while eliminating human error. With Rules-Based AI, clients can achieve optimal system expectancy with pre-determined parameters capable of processing complex chart patterns. With sophisticated Machine Learning algorithms, clients can utilize predictive power by developing customized systems using exhaustive technical data, statistical data, patterns and mathematics as well as physics-based algorithms to produce simulated portfolios under user-defined Risk Parameters.
Clients can take advantage of our integrated software utilities for rapid assessment and deployment of AI technology into their statistical, research and execution capabilities. Moneta’s custom AI frameworks feature client-specific market models, decision trees, concept and live platforms, historical and live datasets, and scalable trading solutions designed to achieve optimized portfolio longevity.
Bespoke FINTECH Systems, Portfolios and Partnerships
Research of risk factors using AI algorithms creates an overarching picture of possible outcomes as it relates to vast fields of input data while integrating performance metrics such as indicators, strategies, instruments, portfolio diversification, market sentiment, analyst views and more. Tailored to client parameters and goals, this accumulation of data can be utilized to produce dynamic risk models and simulations in accordance with adaptive strategies and balanced risk, hedging and profit targets.
Platform Evolution
Moneta is developing a state-of-the-art processing infrastructure with a vast data simulation capacity. Our soon-to-be-available customized High-Performance Computing Solutions (HPC) are designed to integrate with algorithm-based systems software and open the door to development based on our proprietary hardware via SaaS/HPC frameworks.
Innovative Adaptivity
Moneta’s customized services allow clients to leverage technology, research and custom programming to develop AI-based trading software catered to their objectives. Our custom solutions range from bespoke software offerings and proprietary utility access to dedicated teams of computer scientists, mathematicians and engineers working to advance a scope of unique trading parameters and specifications.
We also specialize in reviewing planned portfolios and conducting AI-based risk assessments that can result in strategic optimization. As there are not many companies providing these services to mid-level funds or financial institutions, Moneta fills a major vacuum by increasing availability of AI Fintech for the industry. Moneta is an ideal service provider for fund managers, family offices and financial institutions which have under $250m USD in revenue (Revenue should not be mistaken as AUM)
Surpass Expectations
Moneta’s proprietary AI Performance Analytics architecture allows for comprehensive data analysis and adaptive calculations of trading mechanisms and strategies. Performance analytics are a core element of bespoke AI trading solutions which grant vital insights into instrument and market dynamics as they unfold. With live monitoring of deployed assets and strategies, back testing of AI-powered models and attribution analysis of trading portfolios, clients can maximize the full potential of algorithmic trading to visualize, evaluate and adapt their parameters for improved trading statistics and performance.
By performing a bespoke quantitative analysis with proprietary AI software, clients can devise sophisticated strategies and portfolios for optimal performance in light of market upturns or downturns. AI and ML algorithmic processes can be aligned with customized parameters and specifications that reveal the significance of specific benchmarks against datasets and statistics in rule-based and adaptive learning frameworks.
