Tommy Tan

CEO

Singapore, Singapore25 yrs 2 mos experience

Key Highlights

  • Expert in quantitative and algorithmic trading.
  • Developed successful automated trading strategies.
  • Strong background in risk management and market analysis.
Stackforce AI infers this person is a Fintech expert specializing in quantitative trading and risk management.

Contact

Skills

Core Skills

Quantitative AnalyticsPortfolio ManagementRisk Management

Other Skills

Alternative InvestmentsAsset ManagementBondsC++CommodityCurrencyDerivativesETFsEquitiesFinancial MarketsFixed IncomeGlobal MacroHigh-Frequency TradingInvestmentsMachine & Deep Learning

About

Hi, we are living in an exciting multi-polar world of investment and development. Since 2020 as the big super 20-30 years cycle of high inflation and high rates has arrived. The world of investment will be more volatile, choppy and uncertain. Overall market will still go up but a struggling type of environment long-term going forward. We ought to be in commodities, banking, technology and innovation, healthcare, biotechnology, defence and some real estate funds for a diversified portfolio. Bitcoin might be used as an inflation hedge. Don't touch bonds! Cycle reading is capable of filtering many kinds of noises in this chaotic world of events! This is my personal magic crystal ball for the next 20 to 30 years! Have a good financial planning for all your lifestyle and retirement!

Experience

Tss capital

Proprietary Quant & Algo Trader

Jan 2001Present · 25 yrs 2 mos · Singapore · Hybrid

  • With 15 years of expertise with quantitative and algorithmic trading techniques with combination of Cycle Analysis. Identify non-random patterns in market behaviour using developed proprietary trading algorithms and advanced statistical techniques on stocks, bonds, currencies, commodities, exchange-traded funds, stock indices, options, and futures.
  • Developed an automated intraday all-weather, multi-product quantitative-algo trading technique (ROI of 5 to 15% per month; Sharpe ratio > 5, Sortino Ratio > 5, Calmar Ratio > 10, Reward/Risk > 3:1, Win Rate > 70%, max drawdown of 5%, Volatility < 5%); the risk management is continually improved owing to market dynamics.
  • Suitable for event-driven trading, mean reversion, statistical arbitrage, and market opening and closing sessions. Looking for like-minded people or institutions and great technologies to grow this investment idea! (Available for discretionary macro trading using proprietary cycle analysis)
Market RiskPortfolio Risk ManagementMachine & Deep LearningQuantitative AnalyticsMacro EconomicMarket & Business Cycle Analysis+26

Education

Curtin University Australia

Commerce in IT & Business — Computer and Information Sciences and Support Services

Apr 1997Apr 2000

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