Define clear financial goals (e.g. capital growth, income, preservation)
Align risk appetite with time horizon
Set measurable KPIs (e.g. target return, max drawdown)
Choose between active or passive management
Select asset classes (stocks, crypto, forex, etc.)
Decide trading style (value, growth, momentum, quant, etc.)
Diversify across sectors and geographies
Distribute capital across asset types (equity, debt, commodities, etc.)
Apply allocation models (e.g. 60/40, risk parity, sector rotation)
Adjust weights based on market conditions or strategy
Implement position sizing rules
Use stop-loss and trailing stop techniques
Monitor exposure to individual assets, sectors, or currencies
Track volatility and correlation between holdings
Periodically realign the portfolio to maintain target allocation
Rebalance by adding/removing funds or shifting assets
Frequency: monthly, quarterly, or strategy-triggered
Track key metrics:
Return on Investment (ROI)
Sharpe Ratio
Alpha/Beta
Maximum Drawdown
Compare performance to benchmarks (e.g. S&P 500, BTC, custom index)
Maintain a detailed trade log (date, asset, price, size, reason)
Monitor open positions in real time
Calculate unrealized and realized P&L
Generate daily/weekly/monthly portfolio reports
Visualize performance and risk exposure
Use dashboards or reports for internal use or client communication
Use software/scripts to automate data fetching, calculations, and reporting
Integrate with broker APIs for live trading and position syncing
Recommended tools: Python, Excel, Power BI, Streamlit, QuantConnect
Ensure regulatory compliance (if managing client funds)
Maintain accurate records for trades and decisions
Audit logs for transparency and accountability