Building Blocks

AlgoHive strategies are built from four types of blocks that connect together in a visual workflow.

Block Types

Data Sources

Bring market data into your strategy:

• Exchange data — Spot markets (OHLCV)
• Perpetual data — Futures with funding/OI
• Prediction data — Prediction market odds
• Custom data — Your own data sources

Learn more about Data Sources →

Analysis Blocks

Process data and generate signals:

• Value blocks — Constants
• Function blocks — Single indicators
• Compare blocks — Comparisons
• Cross blocks — Crossovers
• Logic blocks — AND/OR/NOT
• Advanced blocks — Multiple outputs
• Code blocks — Custom JavaScript/Python

Learn more about Analysis Blocks →

Entry Rules

Define when to open positions:

• Long entries — Buy expecting price to rise
• Short entries — Sell expecting price to fall
• Prediction entries — YES/NO on prediction markets

Learn more about Entry Rules →

Manage Rules

Control open positions:

• Stop losses — Limit downside
• Take profits — Lock in gains
• Trailing stops — Dynamic protection
• Exits — Signal-based closing
• Position adjustments — Add/reduce

Learn more about Manage Rules →

How Blocks Connect

Blocks connect via edges showing data flow:

Data Source → Analysis → Entry → Manage

• Data flows right — From sources through analysis to trading rules
• Signals trigger actions — Boolean outputs from analysis trigger entries
• Rules target entries — Manage rules connect to specific entry rules

Visual Language

Colors indicate data types:

Building Strategies

A complete strategy needs:

1. At least one data source — Market data to analyze
2. Analysis producing a signal — Boolean output for triggering
3. Entry rule using the signal — When condition to enter
4. Manage rules — How to exit and protect positions

The simplest strategy might be:

BTC Price Data → RSI Overbought Signal → Short Entry → Stop Loss