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GEXfocus Algo-Trading

Backtests and a Python bot to explore your own workflow.

Access available backtests and a ready-to-adapt sample bot. Files are published individually so you can inspect, download and build from them.

GEXfocus Algo-Trading and BacktestBacktests · Python · Analysis
BacktestsFiles available for analysis
PythonAn editable sample bot
Last bot updateOctober 17, 2026
Available material

A starting point for research and automation.

The aim is to provide files you can inspect clearly and adapt to your own environment—not trading signals or recommendations.

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Available backtests

Daily CSV files to review historical data and reproduce your own analysis.

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Python sample bot

An operational baseline to connect your own configuration, credentials and broker account.

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Daily updates

The list comes from the public library: newly added CSVs appear whenever you refresh this page.

Bot and data

Context for analysis, testing and development.

Use the files to review historical behavior and test hypotheses before integrating a logic into your own workflow.

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Logic and instruments

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.

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Capital and simulation

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.

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Data source

The bot consumes data delivered by GEXfocus Trading API. Review the integration and adapt credentials, parameters and risk controls.

Explore Trading API
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Historical availability

Backtest data may include time ranges with gaps inherent to the record. Files update daily as a space for personal analysis, testing and development.

Public library

Download the files you need.

Select up to 10 files per batch or use individual downloads. You will see the total size before confirming.

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SAMPLE BOTUpdated October 17, 2026 ·
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AVAILABLE BACKTESTS
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How to use it

A guide for developing your own project.

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 performance

Research, adapt and validate

The 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.

Important: this material is educational and informational. It is not financial advice, an investment recommendation, a buy or sell signal, or a promise of returns. Historical results and backtests do not guarantee future results.
Frequently asked questions

What to know before downloading and testing.

Review the scope of the files and the responsibility that comes with each implementation.

What do the backtest files include?

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.

Is the sample bot ready to trade?

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.

Where does the bot data come from?

The bot consumes data from GEXfocus Trading API. Its integration must be adapted to the environment and broker selected by each operator.

Does it use the public bot’s logic?

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.