A technical analysis library for Go providing indicators, strategy building, and trade analysis for financial data.
Techan is a technical analysis library for Go that provides tools for analyzing financial market data, calculating indicators, and building trading strategies. It helps developers create algorithmic trading systems or financial analysis applications by offering a structured framework for processing candlestick data and implementing rule-based strategies.
Go developers building trading bots, financial analysis tools, or algorithmic trading systems, particularly those working with cryptocurrency or stock market data.
Developers choose Techan for its idiomatic Go design, comprehensive indicator suite, and strategy-building framework that simplifies implementing technical analysis without relying on external dependencies or complex setups.
Technical Analysis Library for Golang
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Follows Go's design principles with clean APIs like techan.NewTimeSeries() and techan.NewEMAIndicator(), making it natural for Go developers to integrate into their projects.
Includes a wide range of technical indicators such as EMA and cross-up/down rules, as demonstrated in the Quickstart with moving average calculations and strategy examples.
Provides a rule-based system for creating and testing trading strategies with entry and exit conditions, shown in the 'Creating trading strategies' section using RuleStrategy and trading rules.
Offers organized handling of candlestick data with timestamps and prices, essential for financial analysis, as seen in the dataset processing using NewCandle and TimePeriod.
Requires manual data input and integration with external APIs, as evidenced by the hardcoded dataset in the Quickstart, adding overhead for real-time applications.
README is concise with few advanced examples, which might not cover complex use cases like custom indicator creation or performance optimization.
Lacks educational content on technical analysis concepts, making it challenging for developers new to trading systems without prior experience.