Gekko for Windows is a free, open-source crypto trading bot for traders who want to automate buy and sell rules on their own computer and read the code behind them. It suits developers and hobbyists who are curious about how trading bots are built. Before going further, know that the project is archived: its author has stated that the repository is no longer maintained, and the last code update was on February 16, 2020. The latest release is v0.6.8.
That status changes how you should think about the program. An unmaintained bot does not receive bug fixes, compatibility updates or security patches, so it is best treated as a learning tool, a reference implementation or a starting point for your own project rather than a set-and-forget system for live money. The rest of this page explains what the program offers, how to install the Windows build carefully, and which alternatives deserve a look.
What Is a Crypto Trading Bot?
A crypto trading bot is a program that watches market conditions and places orders according to rules set by its user. The rules might be simple, such as buying when a price drops below a chosen level, or more complex, combining several indicators. The bot connects to an exchange or a data source, reads prices and sends instructions without the user clicking each order by hand.
Most bots share the same basic parts: a way to collect market data, a set of rules or a strategy, an order component that talks to the exchange, and some way to record what happened. Understanding these parts makes it easier to judge any bot, including older ones.
Automation does not remove risk. A rule that worked in one market period can fail in another, and a bug can repeat a bad order many times. That is why careful testing with small amounts and a clear understanding of the code matter more than convenience.
Learning How Trading Bots Are Built
Reading the source of an open project is one of the fastest ways to understand automated trading. Gekko's code, written in JavaScript and TypeScript, gives a concrete example of how a bot can be organized from start to finish. A student could trace how a price update moves through the program, or a developer could compare its structure with a newer framework.
A practical exercise is to pick one function, such as the one that decides when to place an order, and write down its inputs and outputs. Then do the same for the component that reads market data. After a few hours you will have a clearer picture of the design choices every bot must make.
Keep this exercise separate from live trading. Running an experimental copy with no real funds lets you learn the mechanics without the consequences of a mistake.
Why Archived Projects Still Matter
An archived project is one its maintainers no longer develop. The code stays public, so it remains a useful record of how earlier tools were built. Many developers fork such repositories, which means copying the code to a new location and continuing development under their own name and responsibility.
If you consider forking, treat the original as a starting point rather than a finished product. Plan to update dependencies, review every line that touches orders or keys, and add tests of your own. Code that has not changed since early 2020 will need attention before it is safe to rely on.
For most readers, the archive is most valuable as a reference. It shows which design decisions were common in its period and helps when comparing it with newer tools.
Key features
Free and open source
Ready-made Windows build or installer
JavaScript and TypeScript codebase
Bitcoin as the documented example
Supported coins
The official documentation mentions Bitcoin (BTC). If you plan to use the program with other markets, confirm asset and exchange support in the documentation and in the code itself before building a strategy around them.
How to install Gekko on Windows
- 1
Get the Windows build
Go to the project's official website or the GitHub Releases page at github.com/askmike/gekko. Download the Windows build or installer for the latest version, v0.6.8. Download only from the official website or GitHub, and avoid bundled installers from mirror sites.
- 2
Verify the file
Compare the SHA-256 checksum of the downloaded file with the value published alongside the release, if one is provided. If the release includes a signature, check it as well. Do not run a file whose hash does not match the published value.
-
Install and configure
Run the installer or unpack the build into its own folder. Keep your settings and any exchange keys in a separate, protected location, and never grant withdrawal permissions to API keys. Start with a test configuration and confirm everything works before connecting a real account.
How to use Gekko
Gekko runs as a desktop program, so the workflow is a sequence of configuration steps rather than a single click. Work through the steps below in order and keep a written record of every change you make.
- Install the Windows build and launch it once to confirm it opens without errors.
- Read the documentation section on configuration, paying attention to the Bitcoin (BTC) examples it mentions.
- Copy the configuration file before editing anything, so you can restore a working version.
- Set up the exchange connection using a restricted API key that cannot withdraw funds.
- Choose one simple strategy and write down the exact conditions for entering and leaving a position.
- Run the bot in a test setup with no real funds and review its log output over several days.
- Only after you understand each decision, consider a very small live test, and stop the bot immediately if its behavior does not match your notes.
Pros & cons
- Free to use, with no license fee
- Open source, so the code can be read and audited
- Ready-made Windows build or installer
- JavaScript and TypeScript codebase that web developers can approach easily
- Useful as a reference for trading bot design
- The project is archived, and the last code update was on February 16, 2020
- No ongoing bug fixes or security patches
- The only coin named in the documentation is Bitcoin (BTC)
- Not a good fit for unattended trading with significant funds
Is Gekko safe?
Gekko connects to exchange accounts and places trading decisions, so treat it as software that can touch real money. Download only from the official website or the project's GitHub page, and verify the SHA-256 checksum or signature before running the installer. Never enter a seed phrase or private key on a third-party website, and do not let anyone who offers to help with setup ask for your keys. Because the repository is no longer maintained, the code will not receive security patches, so check the latest version on the official website before use. Use API keys without withdrawal rights, keep the connected account funded only with what you can afford to lose, and avoid running the bot on shared machines.
- Official source only. Download from github.com/askmike/gekko. Ignore ads and lookalike domains.
- Check the SHA-256. Compare the installer hash with the value the developer publishes before running it.
- Never share your seed phrase. No developer, support agent or website — including CryptApps — will ever ask for it.
Alternatives
Gekko's main difference from the similar programs in this catalog is its status: it is archived, and its last code update was in February 2020. OctoBot is a trading bot with a web interface, which suits users who prefer managing strategies in a browser. Hummingbot is an open-source project focused on market making and arbitrage, so it fits readers who want a specific trading style rather than general automation. Gunbot Quant is described as a Python toolkit for quantitative trading analysis, which points to a research-first workflow. Catalyst is also archived, so it shares the same maintenance concern. Gekko stands out for its JavaScript and TypeScript codebase and its ready-made Windows build, but if you need an actively developed tool, compare the current state of each option before choosing.
Specifications
- Price
- Free
- Type
- Open source
- License
- —
- Latest version
- v0.6.8
- Last update
- 16 Feb 2020
- Windows support
- Yes (Windows build or installer)
- Source code
- github.com/askmike/gekko
Frequently asked questions
No. The author has stated that the project is no longer maintained, and the last code update to the repository was on February 16, 2020. The latest version is v0.6.8. Expect no new bug fixes, compatibility updates or security patches, so the program is best used for learning or as a starting point for a fork rather than for live trading with significant funds.
Yes. Gekko is free and open source, and its source code is published on GitHub. Being free does not make it risk-free, because a trading bot can place orders automatically. Any outcome from its decisions is your responsibility, so read the code or documentation and test thoroughly before connecting any account.
The installation can be done safely if you take basic precautions. Get the file from the project's official sources, check its SHA-256 checksum or signature, and never enter a seed phrase on a third-party site. Because the software is archived and will not be patched, treat it with extra caution and keep it away from accounts you cannot afford to risk.
The documentation mentions Bitcoin (BTC). Before planning any strategy around another asset, check the documentation and the code to confirm what is supported. Starting with one well-known market is also a sensible way to learn how the bot behaves without juggling several coins at once.
Several similar programs in this catalog are worth comparing. OctoBot offers a web interface, Hummingbot focuses on market making and arbitrage, and Gunbot Quant is a Python toolkit for quantitative analysis. Compare each program's current status, feature set and documentation against your goals before choosing one.
Not if you use the ready-made Windows build or installer, which is intended for ordinary desktop use. Compiling from source is only needed if you want to modify the code, and that requires developer tools for JavaScript and TypeScript. Even with the installer, verify the file before running it.
Yes, that is one of its most practical uses. The source code is public and written in JavaScript and TypeScript, so you can trace how market data, strategy rules and orders connect. Run experiments without real funds and keep notes on what each part of the code does.
Verdict
Gekko for Windows suits developers, students and hobbyists who want a free, open-source trading bot to study, modify or fork. It is a poor choice for anyone who plans to trust automated orders with real money, because the project has been archived since February 2020 and will not receive security fixes. Read the code, test in a safe environment and compare the alternatives before committing to any setup.