💰

Indicator

Indicator Go delivers a rich set of technical analysis indicators, customizable strategies, and a powerful backtesting framework. No dependencies, just pure simplicity. ✨ See how! 👀

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Indicator Go

Indicator is a Golang module that provides an extensive set of technical analysis indicators, strategies, and a framework for backtesting with real-time strategy execution.

An extensive technical analysis library for algorithmic trading - 80+ indicators, backtesting framework, and AI integration via MCP.

Major improvements in v2:

Enhanced Code Quality: A complete rewrite was undertaken to achieve and maintain at least 90% code coverage.
Improved Testability: Each indicator and strategy have dedicated test data in CSV format for easier validation.
Streamlined Data Handling: The library was rewritten to operate on data streams (Go channels) for both inputs and outputs. If you prefer using slices, helper functions like helper.SliceToChan and helper.ChanToSlice are available. Alternatively, you can still use the v1 version.
Configurable Indicators and Strategies: All indicators and strategies were designed to be fully configurable with no preset values.
Generics Support: The library leverages Golang generics to support various numeric data formats.
MCP Support: MCP (Multi-Client Protocol Server) support is integrated into the library, facilitating its use with various AI tools.

I also have a TypeScript version of this module now at Indicator TS.

👆 Indicators Provided

The following list of indicators are currently supported by this package:

📈 Trend Indicators

🚀 Momentum Indicators

🎢 Volatility Indicators

📢 Volume Indicators

💰 Asset Valuation

🧠 Strategies Provided

The following list of strategies are currently supported by this package:

⚖ Base Strategies

Buy and Hold Strategy

📈 Trend Strategies

🚀 Momentum Strategies

🎢 Volatility Strategies

📢 Volume Strategies

🧪 Compound Strategies

Compound strategies merge multiple strategies to produce integrated recommendations. They combine individual strategies' recommendations using various decision-making logic.

🎁 Decorator Strategies

Decorator strategies offer a way to alter the recommendations of other strategies.

🗃 Repositories

Repository serves as a centralized storage and retrieval location for asset snapshots.

The following repository implementations are provided.

The Sync function facilitates the synchronization of assets between designated source and target repositories by employing multi-worker concurrency for enhanced efficiency. This function serves the purpose of procuring the most recent snapshots from remote repositories and seamlessly transferring them to local repositories, such as file system repositories.

The indicator-sync command line tool also offers the capability of synchronizing data between the Tiingo Repository and the File System Repository. To illustrate its usage, consider the following example command:

$ indicator-sync \
    -source-name tiingo \
    -source-config $TIINGO_KEY \
    -target-name filesystem \
    -target-config /home/user/assets \
    -days 30

This command effectively retrieves the most recent snapshots for assets residing within the /home/user/assets directory from the Tiingo Repository. In the event that the local asset file is devoid of content, it automatically extends its reach to synchronize 30 days' worth of snapshots, ensuring a comprehensive and up-to-date repository.

⏳ Backtesting

The Backtest functionality, using the Outcome, rigorously evaluates the potential performance of the specified strategies applied to a defined set of assets. It generates comprehensive visual representations for each strategy-asset pairing.

report := backtest.NewHTMLReport(outputDir)
bt := backtest.NewBacktest(repository, report)
bt.Names = append(bt.Names, "brk-b")
bt.Strategies = append(bt.Strategies, trend.NewApoStrategy())

err = bt.Run()
if err != nil {
	t.Fatal(err)
}

The indicator-backtest command line tool empowers users to conduct comprehensive backtesting of assets residing within a specified repository. This capability encompasses the application of all currently recognized strategies, culminating in the generation of detailed reports within a designated output directory.

$ indicator-backtest \
    -source-name filesystem \
    -source-config /home/user/assets \
    -output /home/user/reports \
    -workers 1

☁️ MCP Server

The MCP Server (Multi-Client Protocol Server) provides a robust and scalable solution for serving trading strategies to multiple clients. It enables real-time strategy execution and data processing, making it ideal for applications requiring high-throughput and low-latency interactions with trading algorithms.

🐳 Docker

The easiest way to get started is using our Docker image. It handles everything - syncing market data from Tiingo and generating backtest reports - in a single command.

Quick Start

# Get your free Tiingo API key at: https://www.tiingo.com/

# Run backtest for specific assets
docker run -it --rm \
  -v $(pwd)/output:/app/output \
  ghcr.io/cinar/indicator:latest \
  --api-key YOUR_TIINGO_API_KEY \
  --days 365 \
  --assets aapl msft googl

# View results (macOS)
open output/index.html

# View results (Linux)
xdg-open output/index.html

Options

Flag	Description	Default
`--api-key`	Tiingo API key (required)	-
`--days`	Days of historical data to fetch	365
`--last`	Days to backtest	365
`--assets`	Space-separated ticker symbols (default: all)	all
`--output`	Output directory for reports	/app/output

Examples

# Backtest all available assets for 1 year
docker run -it --rm \
  -v $(pwd)/reports:/app/output \
  ghcr.io/cinar/indicator:latest \
  --api-key YOUR_TIINGO_API_KEY

# Backtest specific stocks for last 6 months, test last 30 days
docker run -it --rm \
  -v $(pwd)/reports:/app/output \
  ghcr.io/cinar/indicator:latest \
  --api-key YOUR_TIINGO_API_KEY \
  --days 180 \
  --last 30 \
  --assets aapl msft googl amzn

# Custom output directory
docker run -it --rm \
  -v /path/to/my/reports:/app/output \
  ghcr.io/cinar/indicator:latest \
  --api-key YOUR_TIINGO_API_KEY \
  --output /app/output

Build Locally

docker build -t indicator .
docker run -it --rm -v $(pwd)/output:/app/output indicator --api-key YOUR_KEY

Usage

Install package.

go get github.com/cinar/indicator/v2

Import indicator.

import (
    "github.com/cinar/indicator/v2"
)

🌐 Ecosystem

Indicator Go is part of a broader ecosystem of technical analysis tools:

Indicator TS - TypeScript/JavaScript implementation of the same indicators and strategies
Indicator Alpaca - Alpaca Markets integration for live trading
MCP Server - Model Context Protocol server for AI integration

💖 Our Sponsors

Indicator is a community-supported project. The following companies, organizations, and individuals help make our work possible. Become a sponsor and help us continue to grow!

Our Sponsors

Contributing to the Project

Anyone can contribute to Indicator library. Please make sure to read our Contributor Covenant Code of Conduct guide first. Follow the How to Contribute to Indicator to contribute. Signining a Contributor Agreement is also required to contribute to the project.

⚠️ Risk Disclosure & Disclaimer

Financial Risk: Trading stocks, futures, and cryptocurrencies involves significant risk of loss and is not suitable for every investor. The use of leveraged instruments can lead to losses greater than the initial investment.

Not Financial Advice: The information and tools provided in this project are strictly for educational and informational purposes and are not to be construed as advice or solicitation to buy or sell any security. They do NOT constitute financial, investment, or trading advice. Onur Cinar is not a financial advisor.

No Warranties: This software is provided "AS IS," without warranty of any kind. Technical analysis indicators are based on historical data and do not guarantee future results. While we strive for 90%+ test coverage, software can contain bugs.

Limitation of Liability: In no event shall the author or contributors be liable for any financial loss, data loss, or any other damages arising from the use of this library. Use at your own risk.

License

The v2.x.x and above are dual-licensed under GNU AGPLv3 License and a commercial license. For free use and modifications of the code, you can use the AGPLv3 license. If you require commercial license with different terms, please contact me.

Copyright (c) 2021-2026 Onur Cinar.    
The source code is provided under GNU AGPLv3 License.

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published
by the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU Affero General Public License for more details.

You should have received a copy of the GNU Affero General Public License
along with this program.  If not, see <https://www.gnu.org/licenses/>.

The version v1.x.x is provided under MIT License.

Copyright (c) 2021-2026 Onur Cinar.
The source code is provided under MIT License.

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.