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With over nine years of experience in data science and quantitative finance, specializing in cryptocurrency markets and forex, I develop AI-driven predictive models, statistical frameworks, and automated trading systems that generate data-backed insights and advanced trading strategies.
Expert in machine learning, time-series forecasting, and financial modeling, applying advanced quantitative analysis and risk management techniques to create resilient, high-performance trading systems. My work spans crypto asset pricing, market anomaly detection, and algorithmic risk assessment, ensuring adaptability to market volatility while maintaining robust risk control.
Led the development of AI-based trading systems using Python, Pine Script, and custom frameworks, achieving profit-to-drawdown ratios exceeding industry benchmarks. Built reinforcement learning models for BTC trading and trend-forecasting neural networks for gold (XAUUSD), integrating data-driven decision-making into financial market strategies.
Skilled in both intraday and swing trading models, focusing on quantitative research, market phase analysis, and portfolio adjusting. My experience extends beyond trading, having provided data-driven insights for fintech startups, institutional investors, and large-scale industries, demonstrating versatility in financial data science, AI applications, and strategic analytics.
Combining technical expertise, strategic insight, and a results-driven approach, I am committed to advancing financial data science and AI-driven market research. 🚀

Detail-oriented and analytical B.S. candidate in Mathematics & Computer Science with hands-on experience in data analysis, quantitative trading, and predictive modeling. Proven track record of developing innovative solutions in both academic research and professional environments. Strong programming skills in Python, Java, and MATLAB, with a focus on applying statistical techniques to solve complex problems. Passionate about leveraging technology and quantitative methods to drive impactful results in finance and trading.

Trading professional with solid foundation in financial analysis and market strategies. Proven track record of applying analytical skills to enhance trading performance and decision-making. Known for strong focus on teamwork and adaptability, ensuring effective collaboration and results-driven outcomes. Diligent [Desired Position] with robust background in financial markets analysis and strategy development. Leveraged analytical insights to drive successful trading strategies and optimize portfolio performance. Demonstrated proficiency in risk management and market research. Trading professional with strong expertise in market analysis, risk management, and data-driven decision-making. Known for high standards, team collaboration, and adaptability to changing market conditions. Skilled in financial modeling, quantitative analysis, and trading strategies. Dependable in delivering results and supporting team goals. Experienced with financial data analysis, leveraging insights to inform strategic trading decisions. Utilizes advanced market research techniques to identify trends and opportunities. Strong understanding of risk management, ensuring informed and balanced investment strategies. Talented [Job Title] offering [Number] years of experience in trend monitoring, market pricing and deal-making. Gifted in oral and written communication, contract negotiation and dispute resolution. Desire to bring expertise to dynamic position with room for career growth and opportunity to make lasting impact on team profitability.

Talented Trading Advisor, highly effective at sourcing, negotiating and buying goods, materials and services to meet company's operational requirements. Resourceful professional targeting alternate sources for goods and materials. Excellent attention to detail to manage processes and timelines and accomplish tasks.

Danny Ruff

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Trading assistant

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A-Levels - Mathematics, Computer Science, Business Studies

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Trading assistant

Work Experience

A-Levels - Mathematics, Computer Science, Business Studies

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