Penny Stocks : Stock Market

Penny Stocks offers common stock data especially for penny stocks, quotes, charts and news to trade and invest in stock market.

WHO WE ARE
We focused on the development and the execution of systematic quantitative trading strategies. Our team is composed of highly qualified developers and scientists with advanced degrees in Statistics, Computer Science, Economics, Financial Engineering, Machine Learning, AI and Big Data.

WHAT WE DO
Trade Automation
We develop software that trades autonomously in the stock market.

Quantitative Strategies
Our models are based on the latest results from the industry.

Portfolio Management
We develop optimized portfolios that are mathematically balanced and stable.

Risk Management
Real-time risk evaluation allows us to instantaneously react to the stock market.

Big Data and AI
We build decision support systems based on expert system techniques.

PRODUCTS
Our team has developed a full platform for Algorithmic trade is the process of creating a trade system that utilizes advanced mathematical models to make transaction decisions in stocks. Automated trade has greater diversification, faster reaction to market changes and no errors due to emotion-based decisions.

WHY US
Quality
We use code-reviews, unit testing, and other tools in order to guarantee the highest standards.

Integrity
Our privacy policy is integrated in our products in order to guarantee the maximum confidentiality.

Transparency
We take pride in our work and strive to ensure transparency with our clients and partners.

Trade in Stock Market
Our system analyses common stock data especially for penny stocks and provides an optimal short term portfolio.

Consistent Returns
This system has proven to be a long-term investment vehicle with historically consistent and stable results.

Diversification
This diversification not only buffers against risk, but allows us to generate returns in both bull and bear markets.

COLLABORATIONS AND PARTNERSHIPS
Banks
Include systematic trade solutions in your portfolio offering.

Financial Institutions
Integrate automated portfolio and risk management software into your system.

Family Offices
Discover personalized solutions based on your objectives and beliefs.

Universities
Nowadays, most trades in financial markets are automated, computer scientists and data analytics are replacing traditional bank traders. We provides an introduction to algorithmic trading systems and how they work.
the student will learn to identify, evaluate, and capture business analytic opportunities that create value for an organization. Theoretical data analytics methods, as well as case studies on successful analytics applications, will be covered. Basic descriptive analytics methods are reviewed along with a quick introduction to using R in analyzing large data sets. Predictive analytics techniques including clustering, classification, and regression, are covered in detail. Prescriptive analytics applications on utilization simulation and optimization over large data to improve business decisions are presented. Case studies emphasize financial applications such as portfolio management and automated trading.
Include courses informed by the latest in data science, machine learning, and finance.

Companies
Make guided strategic decisions based on statistical analysis of your company data.

Recent changes:
Performance improvement