1. Conduid
  2. Blockchain
  3. Bullarc
MCP server · Blockchain

Bullarc

AI-powered technical analysis engine — 11 indicators, multi-source signal fusion, backtesting, paper trading, and MCP server for Claude. Written in Go.

34Low

Scored 6 months ago · breakdown

About Bullarc

Bullarc is an MCP server in the Blockchain category: aI-powered technical analysis engine — 11 indicators, multi-source signal fusion, backtesting, paper trading, and MCP server for Claude. Written in Go.

Install

From source
git clone https://github.com/bullarc/bullarc

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (10)

analyze_with_aiMulti-step LLM reasoning

Parameters not published.

backtest_strategyRun backtest on CSV, return summary stats

Parameters not published.

compare_symbolsCompare signals across multiple symbols

Parameters not published.

explain_backtestBacktest + AI explanation of performance

Parameters not published.

explain_signalLLM explanation of trading signal

Parameters not published.

get_news_sentimentFetch and score news sentiment

Parameters not published.

get_risk_metricsATR-based position sizing and stop-loss

Parameters not published.

get_signalsAnalyze symbols, return composite signal + confidence

Parameters not published.

list_indicatorsList all registered indicator metadata

Parameters not published.

stream_signalsPush-based signal delivery

Parameters not published.

Ask AI

✦

Ask AI about Bullarc

Powered by Claude · Grounded in docs

I know everything about Bullarc. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

  • ✓README presentThe repository ships documentation.

5 checks have not been run yet.

README

bullarc fuses price technicals, news sentiment, social velocity, on-chain flows, whale alerts, and options activity into a single BUY/SELL/HOLD signal — powered by 11 indicators and AI-driven confidence scoring.

bullarc demo

Quick Start

# Install
go install github.com/bullarc/bullarc/cmd/bullarc@latest

# Run the built-in demo (zero config, embedded data)
bullarc demo

No API keys, no config files, no data downloads. Results in under a second.

What Can It Do?

Analyze — 6 data layers, 11 indicators, 1 composite signal

bullarc analyze --symbol AAPL --llm

Backtest — replay strategies on historical data

bullarc backtest --csv data.csv --indicators RSI_14,MACD_12_26_9,SuperTrend_7_3.0

Paper trade — auto-execute with real market data, simulated money

bullarc paper trade --symbol AAPL --confidence 70

AI review — Claude analyzes your trading patterns after 20+ trades

bullarc journal review

MCP server — let Claude be your analyst in Claude Desktop or Cursor

MASSIVE_API_KEY=xxx bullarc mcp install   # one-command Claude Code setup

Features

  • 11 technical indicators: SMA, EMA, RSI, MACD, Bollinger Bands, SuperTrend, Stochastic, ATR, VWAP, OBV
  • Multi-source signal fusion: price + news sentiment + Reddit social velocity + on-chain crypto flows + whale alerts + options activity
  • AI-powered analysis: LLM-driven signal explanation, market regime detection, anomaly detection, portfolio correlation
  • Backtesting: historical replay with simulated returns, max drawdown, win rate
  • Paper trading: auto-execute via Alpaca with configurable confidence threshold
  • Trade journal: log every trade, query by filters, AI-powered pattern review
  • MCP server: 10 tools for Claude Desktop / Cursor integration
  • Go SDK: embed analysis in your own applications
  • Zero-config demo: embedded sample data, works out of the box

Data Sources

Source Type Auth
Massive (formerly Polygon.io) Equities, crypto, options API key
Alpaca Equities, crypto, paper trading API key + secret
CSV / JSON Local files None
Reddit (Tradestie) Social sentiment None
Glassnode On-chain crypto metrics API key
WhaleAlert Large crypto transfers API key
Polygon Options Unusual options activity API key
Alpaca News News articles API key

Setup

# Store credentials once (optional — works without any keys via CSV mode)
bullarc configure --massive-key $MASSIVE_API_KEY
bullarc configure --alpaca-key $ALPACA_API_KEY --alpaca-secret $ALPACA_SECRET_KEY
bullarc configure --llm-key $ANTHROPIC_API_KEY

# Or just set env vars — bullarc auto-detects them
export MASSIVE_API_KEY=xxx        # Massive market data
export ALPACA_API_KEY=xxx         # Alpaca market data (alternative)
export ALPACA_SECRET_KEY=xxx
export ANTHROPIC_API_KEY=xxx      # LLM explanations (optional)

Or use a config file:

data_sources:
  default: massive
  massive:
    enabled: true
    api_key: "${MASSIVE_API_KEY}"

llm:
  provider: anthropic
  api_key: "${ANTHROPIC_API_KEY}"
  model: claude-opus-4-6

Credential resolution order: flags > env vars > keystore (~/.config/bullarc/credentials) > config file.

CLI Commands

Command Description
bullarc demo Zero-config demo with embedded data
bullarc analyze One-shot analysis (single or multi-symbol)
bullarc backtest Backtest strategy on historical CSV
bullarc watch Continuous polling with live signals
bullarc paper trade Auto paper trading via Alpaca
bullarc paper positions List open paper positions
bullarc paper close-all Close all paper positions
bullarc journal list List closed trades
bullarc journal query Filter trades by symbol, date, winners/losers
bullarc journal review AI-powered trade pattern review
bullarc mcp Start MCP server for Claude Desktop / Cursor
bullarc mcp install One-command MCP setup for Claude Code
bullarc mcp uninstall Remove MCP server from Claude Code
bullarc configure Store credentials and watchlist
bullarc version Print version

MCP Server

# One-command setup for Claude Code (auto-detects env vars)
MASSIVE_API_KEY=xxx bullarc mcp install

# Or start manually
bullarc mcp

The install command registers bullarc globally in Claude Code — no config files needed. It detects MASSIVE_API_KEY, ALPACA_API_KEY, ALPACA_SECRET_KEY, and ANTHROPIC_API_KEY from your environment and forwards them to the MCP server.

Exposes 10 tools over JSON-RPC 2.0 stdio:

Tool Description
get_signals Analyze symbols, return composite signal + confidence
backtest_strategy Run backtest on CSV, return summary stats
list_indicators List all registered indicator metadata
explain_signal LLM explanation of trading signal
stream_signals Push-based signal delivery
explain_backtest Backtest + AI explanation of performance
get_news_sentiment Fetch and score news sentiment
get_risk_metrics ATR-based position sizing and stop-loss
analyze_with_ai Multi-step LLM reasoning
compare_symbols Compare signals across multiple symbols

Architecture

bullarc.go               # All interfaces and types. The API contract.
cmd/bullarc/             # CLI (cobra). Thin wrapper over the SDK.
internal/engine/         # Wires indicators, data sources, LLMs together.
internal/indicator/      # Pure computation. No I/O, no imports from other internals.
internal/datasource/     # Market data fetching. Implements DataSource interface.
internal/llm/            # LLM adapters. Implements LLMProvider interface.
internal/signal/         # Aggregates indicator outputs into Signal values.
internal/config/         # Config loading and credential storage.
internal/mcp/            # MCP server: JSON-RPC 2.0 over stdio.
internal/journal/        # Trade journal logging and querying.
pkg/sdk/                 # Public Go SDK. Wraps the engine behind a stable surface.
testutil/                # Shared test helpers.
testdata/                # CSV fixtures and reference values.

All shared types and interfaces live in the root package. Internal packages implement those interfaces but never import each other. Only internal/engine wires them together.

Go SDK

client := sdk.New(engine)

// One-shot analysis
result, err := client.Analyze(ctx, bullarc.AnalysisRequest{Symbol: "AAPL", UseLLM: true})

// Backtest
result, err := client.Backtest(ctx, bullarc.BacktestRequest{Symbol: "AAPL", Bars: bars})

// Stream signals (polling)
ch := client.StreamSymbols(ctx, []string{"AAPL", "MSFT"}, 5*time.Minute)
for sig := range ch {
    // sig.Type, sig.Confidence, sig.Symbol
}

// Push-based subscription
ch := client.Subscribe(ctx, bullarc.AnalysisRequest{Symbol: "AAPL"})

Build

make build       # Produces bin/bullarc
make test        # All tests with race detector
make check       # fmt + vet + test
make verify      # Build all + smoke tests
make lint        # golangci-lint
make demo        # Run the built-in demo
make demo-gif    # Generate demo.gif (requires VHS)

Docker

docker run --rm \
  -e MASSIVE_API_KEY=<key> \
  -e ANTHROPIC_API_KEY=<key> \
  ghcr.io/bullarc/bullarc:latest analyze --symbol AAPL --llm

Requirements

  • Go 1.22+
  • API keys for data sources and LLM providers (optional — CSV mode works without any)

License

MIT — see LICENSE for details.

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Bullarc

How do I install Bullarc?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Bullarc safe to use with an AI agent?

Its trust score is 34 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Bullarc still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.