The best way to predict the future
is to have a contract in life that says something will happen in the future.

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Easily test market hypotheses

Backtesting is the process of testing a trading strategy on relevant historical data to ensure its viability before the trader risks any actual capital. A trader can simulate the trading of a strategy over an appropriate period of time and analyze the results for the levels of profitability and risk.

Features include transforming time series data, tracking backtesting progress, optimizing portfolio weights, accessing two decades of historical data, visualizing buy signals, benchmarking against historical indices, and dynamically selecting companies based on financial data. Users can visualize their trading strategies and align them with their backtesting goals, allowing them to test trading hypotheses using historical data and gain insights before investing real capital. EdvardWo provides access to advanced statistical software in the field of time series finance.
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Visualize buy signals & add methods

See your customized trading methods come to life on interactive charts. Easily add and visualize buy signals to test and evaluate your strategies.

Interactive

By evaluating your backtesting strategy against a comparison index, you can gain insights into its performance relative to the broader market.

Choose any comparison index of your choice.
Benchmarking against historical indices is crucial for gaining valuable perspective, analyzing patterns, identifying outliers, and refining investment strategies, ultimately improving portfolio performance.
Comparing the returns of your backtesting portfolio and the returns of a comparison index is crucial as it allows you to assess the performance of your portfolio in relation to the broader market, helping you gauge its relative strength, identify potential areas of improvement, and make informed decisions about your investment strategy. This evaluation is commonly done using a conventional t-test, which provides statistical significance to the performance comparison.
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