Available backtests
Daily CSV files to review historical data and reproduce your own analysis.
Access available backtests and a ready-to-adapt sample bot. Files are published individually so you can inspect, download and build from them.
Backtests · Python · AnalysisThe aim is to provide files you can inspect clearly and adapt to your own environment—not trading signals or recommendations.
Daily CSV files to review historical data and reproduce your own analysis.
An operational baseline to connect your own configuration, credentials and broker account.
The list comes from the public library: newly added CSVs appear whenever you refresh this page.
Use the files to review historical behavior and test hypotheses before integrating a logic into your own workflow.
The bot follows the structure of a reference asset for monitoring and logic. It takes long and short x3 leveraged positions through TQQQ and SQQQ.
It is designed for notional positions between USD 20,000 and 50,000. It has been simulated and tested through the Alpaca Markets API in a live environment. GEXfocus has no affiliation, sponsorship, partnership or commercial relationship with Alpaca Markets; its use is exclusively based on our own parameters and selection.
The bot consumes data delivered by GEXfocus Trading API. Review the integration and adapt credentials, parameters and risk controls.
Explore Trading APIBacktest data may include time ranges with gaps inherent to the record. Files update daily as a space for personal analysis, testing and development.
Select up to 10 files per batch or use individual downloads. You will see the total size before confirming.
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The sample bot is a working guide for configuring additional logic, testing it and building your own project. It is not a ready-to-run system: each operator must define, validate and take responsibility for their own implementation.
Follow the public bot performanceThe base logic available in the sample bot is the same logic used by the public bot whose performance is shown on this website. The code is a starting point for studying conditions, parameters, sizing and controls, not a closed operational solution.
Use your own credentials, risk rules and validation before operating. Responsibility for the strategy, its configuration, execution and relationship with any broker remains exclusively with each user.
Review the scope of the files and the responsibility that comes with each implementation.
The library publishes daily CSV files for research and analysis. They may contain time ranges with gaps inherent to the record, so review dates, coverage and assumptions before drawing conclusions.
No. It is a guide to study the logic, add conditions, test parameters and build your own project. Credentials, risk controls, configuration and execution are each user’s responsibility.
The bot consumes data from GEXfocus Trading API. Its integration must be adapted to the environment and broker selected by each operator.
The sample bot uses the same base logic as the public bot whose performance is shown on GEXfocus. The code is a research starting point, not a closed operational solution.