Investing

Backtest portfolio allocations with cash flows, benchmarks and simulations

Build historical market simulations with configurable orders and costs

Screen stocks and examine the factors behind company ratings

Build trading tools and examine cBot behaviour on historical data

Keep trade plans, checklists and later review in one journal

Link Indian investment accounts with savings and brokerage tools

Set target allocations with portfolio Pies and scheduled investing

Track stock-market events with live alerts and ranked screeners

Maintain event-driven Python backtests with the Zipline research model

Find private companies by sector, funding stage and location

Check the holdings and exposures hidden behind ETF names

Follow Indian market sectors, companies and corporate events

Connect financial data providers to Python and research applications

Generate trading rules and test how their results withstand changes

Compare Canadian funds and model portfolio allocations

Create reusable chart conditions and filter stock watchlists

Organize dividend portfolios and compare income-growth scenarios

Visualize the historical limit order book as a liquidity heatmap

Move from stock screens to charts and portfolio views

Track company events, filings and niche industry groups

Move from global stock screens to financials and valuation models

Delegate an index portfolio or choose your own stocks and ETFs

Build technical stock screens from readable filtering rules

Study an exploratory Python engine for historical equities tests