Combining Mathematics and Technology
Combining Mathematics and Technology
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What We Do
Our work at FCC revolves around developing and executing sophisticated trading strategies that rely heavily on data analysis, mathematical models, and advanced algorithms. We employ over 10 quants with master’s in diverse mathematical and engineering disciplines such as Quantitative Finance, Engineering, Computer Science, Operations Research, and Statistics.
Our professionals work together to design, implement, and optimize trading algorithms to generate profits in financial markets. Below are the key aspects of our work at FCC:
Research & Strategy Development
We conduct extensive research to identify patterns, trends, and opportunities in financial markets. Our researchers and quantitative analysts use statistical models, mathematical techniques, and data analysis to develop trading strategies that aim to exploit market inefficiencies and generate alpha (excess returns).
Algorithm
Development
Our quantitative research analysts then convert this research to design and implement trading algorithms. These algorithms execute trades automatically at high speeds, responding to market conditions in real-time.
Data
Analysis
Data is the lifeblood of our work at FCC. Our teams of data scientists and analysts collect, clean, and process vast amounts of financial data, including market prices, trading volumes, economic indicators, and other relevant information. This data is then used to calibrate and improve trading models.
Backtesting
Before deploying a trading strategy in live markets, we rigorously test our algorithms using historical market data. Backtesting helps assess the viability and performance of a strategy and identify potential pitfalls or limitations.
Technology Infrastructure
We invest heavily in powerful computing resources to execute trades swiftly and efficiently. We leverage cloud-based infrastructure and extensive databases to execute complex trading algorithms, conduct quantitative analysis, and perform risk assessments. We have also spent significant resources in integrating AI and Machine Learning capabilities into our infrastructure.
Risk Management
Risk management is an essential aspect of our work at FCC. We constantly monitor the exposure of trading strategies to various risks, such as market volatility, liquidity risk, and correlation risk. Robust risk management practices aim to protect capital and ensure the stability of the firm's trading operations.
Continuous Improvement
Our work at FCC is characterized by a continuous pursuit of innovation and improvement. Our teams analyze performance metrics, conduct post-mortem analyses of trades, and constantly fine-tune trading strategies to adapt to changing market conditions.
What We Do
Our work at FCC revolves around developing and executing sophisticated trading strategies that rely heavily on data analysis, mathematical models, and advanced algorithms. We employ over 10 quants with master’s in diverse mathematical and engineering disciplines such as Quantitative Finance, Engineering, Computer Science, Operations Research, and Statistics.
Our professionals work together to design, implement, and optimize trading algorithms to generate profits in financial markets. Below are the key aspects of our work at FCC:
Research and Strategy Development
We conduct extensive research to identify patterns, trends, and opportunities in financial markets. Our researchers and quantitative analysts use statistical models, mathematical techniques, and data analysis to develop trading strategies that aim to exploit market inefficiencies and generate alpha (excess returns).
Algorithm
Development
Our quantitative research analysts then convert this research to design and implement trading algorithms. These algorithms execute trades automatically at high speeds, responding to market conditions in real-time.
Data
Analysis
Data is the lifeblood of our work at FCC. Our teams of data scientists and analysts collect, clean, and process vast amounts of financial data, including market prices, trading volumes, economic indicators, and other relevant information. This data is then used to calibrate and improve trading models.
Backtesting
Before deploying a trading strategy in live markets, we rigorously test our algorithms using historical market data. Backtesting helps assess the viability and performance of a strategy and identify potential pitfalls or limitations.
Technology Infrastructure
We invest heavily in powerful computing resources to execute trades swiftly and efficiently. We leverage cloud-based infrastructure and extensive databases to execute complex trading algorithms, conduct quantitative analysis, and perform risk assessments. We have also spent significant resources in integrating AI and Machine Learning capabilities into our infrastructure.
Risk Management
Risk management is an essential aspect of our work at FCC. We constantly monitor the exposure of trading strategies to various risks, such as market volatility, liquidity risk, and correlation risk. Robust risk management practices aim to protect capital and ensure the stability of the firm's trading operations.
Continuous Improvement
Our work at FCC is characterized by a continuous pursuit of innovation and improvement. Our teams analyze performance metrics, conduct post-mortem analyses of trades, and constantly fine-tune trading strategies to adapt to changing market conditions.
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