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Automated
Trades executed by Python code with minimal human intervention to guard against behavioral biases
such as fear, greed, and overconfidence.
Automation removes hesitation, second-guessing, discretionary overrides, and fat-finger errors.
Systematic
Decisions are rules-based, consistent, and repeatable, using math to calculate position size and entry/exit point.
System generated signals tells us when and how much to buy/sell.
Trend Following
Riding winners and cutting losers is a time-tested principle that works across decades of market data.
Targeted Risk Management
Portfolio risk is measured and calibrated using position size and correlation. This allows us to look at at risk-adjusted returns, not just raw returns.