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Backtest portfolio allocations with cash flows, benchmarks and simulations

Compare strategy experiments across assets, parameters and historical periods

Query and deliver institutional pricing and reference data

Explore markets and portfolio tools in live or virtual mode

Build stock scans and inspect trading layouts in a paper account

Reconcile dividend expectations with portfolio transactions and payments

Track investments and examine account and portfolio performance

Connect financial data providers to Python and research applications

Build trading tools and examine cBot behaviour on historical data

Host coded or visual strategies through shared broker connections

Turn portfolio returns into charts and risk-analysis summaries

Research international banking, liquidity and financial-market statistics

Research and backtest quantitative strategies in notebooks and code

Combine attraction research with local transport and travel essentials

Calculate portfolio returns from a complete transaction history

Study an exploratory Python engine for historical equities tests

Build formula screens and examine their historical matches

Move from global stock screens to financials and valuation models

Review holdings across securities, property and other assets

Follow economic releases and retrieve country indicators

Retrieve financial series, indicators and market news through APIs

Explore journal records through charts, plans and interactive statistics

Connect company financial metrics to their filing sources

Develop and compare trading strategies in a Windows backtesting workspace