OctoBot Script is a free, open source quant framework for developers and traders who want to build cryptocurrency trading strategies in code. It covers the stages many quants care about: testing a strategy on historical prices, tuning its parameters, and then running it live.
The project is written in JavaScript/TypeScript and Python, its latest release is version 0.1.1, and the code was last updated on March 30, 2026, so it is an actively maintained project rather than an archived one. Because it is a framework rather than a finished app, it suits people who are comfortable reading documentation and adjusting code. Beginners can still use it to learn how strategies behave, as long as they start with historical data and never risk money they cannot afford to lose.
What Is a Quant Framework, Exactly?
A quant framework is a set of code libraries and tools that lets you express a trading idea as rules a computer can follow. Instead of watching charts and clicking buy or sell, you describe conditions, such as a moving average crossing above another or price falling below a threshold, and let the software apply them consistently.
OctoBot Script is built around that idea. Its stated purpose is to help you create cryptocurrency strategies and move them through three stages: backtesting on past data, optimization of parameters, and live trading. Keeping these stages in one toolkit reduces the friction of rewriting a strategy every time you change environments.
For a Windows user, the main takeaway is that a framework gives you control and transparency, but it also places responsibility on you. You have to understand what the code does, because nobody else will check your logic before real orders are placed.
Who OctoBot Script Is Built For
The most natural audience is developers and quantitative traders who already write some Python or JavaScript and want to test ideas methodically. A hobbyist might use it to study how a simple rule behaves across several months of price history, while a more experienced trader might compare many parameter sets in one session.
Some users come to it from a background in data analysis rather than trading. If you understand statistics, you can make sense of backtest output faster than someone who only knows charts. Still, the program does not replace knowledge of markets or risk management.
People who want a turnkey trading dashboard should look at other programs in this catalog instead. OctoBot, for example, is a trading bot with a web interface, which may suit readers who prefer adjusting settings through a browser rather than editing code.
Key Terms Behind Strategy Testing
Backtesting means running a strategy against historical prices to see what its rules would have done. It is useful for catching obvious flaws, but past results do not guarantee future behavior, and a strategy can look strong simply because it was tuned to one period.
Overfitting is the term for that tuning trap. When an optimizer finds settings that fit one dataset closely, those settings often fail on new data. Holding back a portion of history and testing on it only after you finish tuning is a standard way to reduce this risk.
Slippage describes the gap between the price you expect and the price you get when an order fills, and fees reduce returns on every trade. A realistic test accounts for both. Keep these terms in mind when reading any backtest, including those produced with OctoBot Script.
Key features
Backtesting
Strategy Optimization
Live Trading
Docker and Two Languages
Open Source Code
Supported coins
The official documentation mentions Bitcoin (BTC) and USDT. Treat these as the reference examples the guides use; actual coverage depends on how you configure your strategy and the exchange connection. Check the guides for current details before building a strategy around a specific asset.
How to install OctoBot Script on Windows
- 1
Check for a Windows build
Open the latest release on the GitHub Releases page and look for a Windows file in the assets. The project lists Windows support as likely rather than confirmed, so check the release before you plan your setup.
- 2
Download from the official source
Download only from the official website or the project's GitHub Releases page. Start at the documentation on octobot.cloud and follow its links, rather than searching for a copy on a forum or file-sharing site.
- 3
Verify the file
Compute the SHA-256 hash of the downloaded file with a built-in tool such as PowerShell's Get-FileHash, then compare it with the checksum published on the release page. If the values differ, delete the file and download it again. If a signature is provided, check that as well.
- 4
Set up with Docker
If you use the container route, install Docker Desktop, then follow the container steps in the official guide. Store API keys in a configuration file or environment variables rather than inside the image, so they are not baked into a shared setup.
-
Run a first test
Start with a backtest on historical data before connecting any exchange account. Confirm that the output matches what you expected from your rules, and only then decide whether to continue to live settings.
System requirements
- Windows: the project lists Windows builds, so confirm that the latest GitHub release includes a Windows file
- Docker: the platform listed for the program, useful if you prefer an isolated setup
How to use OctoBot Script
Once the program is installed, work through the steps below in order. Skipping straight to live trading is the most common mistake beginners make.
- Open the official guide and read how a strategy is defined in code before editing anything.
- Load historical market data for a pair such as BTC/USDT, if your setup supports it.
- Run a backtest with default parameters to get a baseline result.
- Adjust one parameter at a time and rerun the test so you can see each change in isolation.
- Use optimization to compare settings, then check the best candidate on data the optimizer did not use.
- Review the trade behavior and results to judge whether the strategy fits your risk tolerance.
- Only after this, configure a small live setup with a restricted API key and monitor it closely.
Pros & cons
- Free and open source, with public code on GitHub
- Covers backtesting, optimization and live trading in one framework
- Recently updated, with the last code change dated March 30, 2026
- Available in JavaScript/TypeScript and Python
- Docker is listed as a supported platform
- A framework rather than a finished app, so you need comfort with code
- Windows support is listed as likely rather than confirmed
- The documentation names only a few assets, Bitcoin and USDT among them
- Version 0.1.1 suggests an early stage of development
Is OctoBot Script safe?
OctoBot Script is a trading framework, so treat it as software that can touch your funds. Download only from the official website or GitHub, and verify the SHA-256 checksum or signature before running anything. Never enter a seed phrase on a third-party website or in a prompt from a tool that asks for one, because a trading setup does not need your seed phrase. When you connect an exchange, create API keys with trading permission only and no withdrawal rights, so a leaked key cannot move your coins out of the account. The code was updated on March 30, 2026, which is encouraging, but check the latest version on the official website before installing. Run every strategy on historical data first, and keep live amounts small until you understand how the bot behaves.
- Official source only. Download from github.com/Drakkar-Software/OctoBot-Script. 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
Compared with Quantify, a Binance-style trading terminal with multi-strategy backtesting, OctoBot Script is closer to a code-first toolkit: you write and test strategies rather than working inside a trading screen. OctoBot is a trading bot with a web interface, so it suits users who want a running bot with a dashboard. Hummingbot focuses on market making and arbitrage, a narrower family of strategies. Gekko is an archived trading bot, so it is mainly useful as a historical reference. Choose OctoBot Script if you want a flexible framework for backtesting and optimization; choose the others if you need a ready interface or a specific strategy type.
Specifications
- Price
- Free
- Type
- Open source
- License
- —
- Latest version
- 0.1.1
- Last update
- 30 Mar 2026
- Windows support
- Likely (builds for Windows; check releases)
- Source code
- github.com/Drakkar-Software/OctoBot-Script
Frequently asked questions
Yes, the program is free and open source, so you can download it and read the code without a license fee. Free software does not cover exchange fees, data costs or the losses that trading can cause. Review the official website for any current terms before you install.
The project lists Windows builds, but support is described as likely rather than confirmed, so look for a Windows file on the GitHub Releases page. If none is available for the version you want, Docker is the other platform listed for the program and may be a practical route.
It can be, provided you get it from the official website or GitHub and check the SHA-256 checksum or signature. Never enter a seed phrase on a third-party site, and use exchange API keys without withdrawal permission to limit the damage a compromised key could cause.
Begin by installing the program and reading the official guide on how strategies are defined. Then run a backtest on historical data to see how a rule set behaves. Move to live trading only after you understand the results and have tested with small amounts.
The official documentation names Bitcoin (BTC) and USDT as examples. Coverage beyond those examples depends on the strategy and the exchange connection you configure, so read the guides before planning a portfolio around a particular asset.
No. OctoBot Script is a quant framework for building strategies in code, while OctoBot is a trading bot with a web interface. They are separate programs that suit different users, so compare them against your own skills before choosing.
Yes. The backtesting and optimization parts can be used without connecting a live account, which is the safest way to learn. Keep your exchange keys out of the setup until your tests make sense and you understand the strategy's behavior.
Verdict
OctoBot Script suits developers and quantitative traders who want a free, open source framework to test, tune and eventually run cryptocurrency strategies. Its recent code update and public source are reassuring, but Windows support is not yet confirmed and the framework assumes comfort with code. Beginners should spend plenty of time on backtests before any live trading. Check the latest version on the official website before you install.