@livewireStyles
v1.7 - Production Ready

Intelligent trading signals
at the speed of Rust.

Forge Signal uses 50+ specialized analyzers, real-time market data, and advanced NLP to generate high-confidence trading signals. Trade stocks, crypto, forex, commodities, and prediction markets with your choice of desktop app, CLI, or REST API.

forge-signal ~ 🔍 analysis
$ forge-cli analyze AAPL --asset-type stock
⠙ Fetching market data from 6 sources...
⠹ Running 25+ analyzers (sentiment, momentum, liquidity)...
⠸ Scoring with ensemble methods...
═══ Signal Analysis ═══
Signal: BULLISH (0.78 confidence)
Edge Score: 0.71 (Strong setup)
Momentum: Strong uptrend across timeframes
Sentiment: Positive (0.82 NLP score)
Liquidity: High volume confirmed

50+

Specialized Analyzers

6

Real-time Data Feeds

v1.7

Production Ready

<1ms

Signal Latency

Enterprise-grade signal intelligence.

Forge Signal combines 50+ specialized analyzers, real-time data feeds, and NLP-powered sentiment scoring to generate high-confidence trading signals. Built in Rust for blazing-fast performance.

50+ Specialized Analyzers

Technical, fundamental, sentiment, momentum, liquidity, and relative value analyzers working in ensemble. Get multi-factor signal validation.

Real-time Desktop App

Native Tauri app with encrypted API key management, watchlists, signal history, and live analytics. Zero JavaScript bloat.

REST API + WebSocket

Integrate with your trading system. Real-time signal streaming, webhooks, email alerts, and async analysis for production workflows.

Backtesting Engine

Test your signal strategy against historical data. Walk-forward analysis, slippage modeling, and strategy optimization built-in.

Multi-Asset Support

Stocks, crypto, forex, commodities, indices, options, futures, and prediction markets. One engine, all market types.

Advanced NLP Sentiment

Real-time news sentiment scoring across Reuters, CNBC, Nasdaq, and social feeds. Understand market psychology instantly.

Data-driven intelligence pipeline.

Forge Signal's fully parallelized Rust architecture ingests multi-source data, applies NLP enrichment, runs 50+ analyzers, and delivers high-confidence signals in milliseconds.

1 Real-time data ingestion

Six simultaneous data feeds.

Finnhub market data, NewsAPI sentiment, CoinGecko crypto prices, Polymarket prediction odds, UFC event odds, and custom API sources. All parallelized and normalized into unified data points with confidence metrics.

Real APIs: Finnhub, NewsAPI, CoinGecko, Polymarket, custom webhooks

Data Pipeline
Parallel Data Fetch
├─ Finnhub (market data)
├─ NewsAPI (sentiment)
├─ CoinGecko (crypto)
├─ Polymarket (odds)
└─ UFC data (sports)
    
Normalize & NLP Enrich

50+ Analyzers
then
Analysis Pipeline
50+ Parallel Analyzers
├─ Technical (RSI, MACD, BB)
├─ Sentiment (NLP on news)
├─ Momentum (multi-timeframe)
├─ Liquidity (volume, spread)
├─ Fundamental (P/E, earnings)
└─ Relative Value
    
Ensemble Score & Confidence
    
Signal with Factors
2 Ensemble analysis

50+ specialized analyzers run in parallel.

Technical indicators (RSI, MACD, Bollinger Bands, Volume), sentiment scoring (NLP on news), momentum detection, liquidity filters, and relative value analysis all contribute scores. Ensemble methods combine results with uncertainty quantification.

Technical, Fundamental, Sentiment, Market, Momentum, Liquidity analyzers

then
3 Alert and integrate

Real-time delivery across channels.

Signals pass through final filters (confidence, edge, liquidity thresholds). Deliver via REST API, WebSocket streams, email alerts, or webhook callbacks. Desktop app provides real-time monitoring and signal history with full factor breakdowns.

Output: Direction, confidence, edge, factors breakdown, and caution flags.

Signal Output
{
  "direction": "BULLISH",
  "confidence": 0.85,
  "edge": 0.68,
  "factors": {
    "sentiment": 0.72,
    "momentum": 0.91,
    "liquidity": 0.78
  },
  "caution_flags": []
}

One platform, all markets.

Forge Signal is asset-agnostic. Configure it for any market class.

Stocks

Crypto

Forex

Commodities

Indices

Options

Futures

Sports Events

Production-grade signal engine.

Forge Signal v1.7 is ready now with encrypted API keys, WebSocket streaming, email alerts, backtesting, and watchlists. Desktop app, REST API, and CLI all available.

Register your interest

Transparent, scalable plans.

Choose the plan that fits your trading needs. Start free, upgrade anytime.

Free

$0/mo

  • 100 signals per month
  • REST API access
  • Email support
  • Basic signal history
  • Single asset class
Get Started
Most Popular

Pro

$99/mo

  • Unlimited signals
  • WebSocket streaming
  • Desktop app included
  • Priority email support
  • Backtesting engine
  • All asset classes
Start Free Trial

Enterprise

Custom/mo

  • Everything in Pro
  • Dedicated support
  • On-premise deployment
  • 99.99% SLA guarantee
  • Custom integrations
Contact Sales

Connect with us.

Try Forge Signal free with your first 100 signals. Join the community of traders and developers using intelligent signal generation to make faster, smarter trading decisions.

@livewire('interest-form')

Frequently asked questions.

Forge Signal integrates with major exchanges including Finnhub (stocks), CoinGecko (crypto), and Polymarket (prediction markets). You can configure custom API endpoints for any exchange, making it compatible with virtually any market data source. Desktop app and API both support multiple concurrent exchanges.

Forge Signal runs 50+ specialized analyzers in parallel: technical indicators (RSI, MACD, Bollinger Bands), sentiment scoring via NLP on news feeds, momentum detection, liquidity analysis, and relative value comparisons. An ensemble machine learning model weights these factors and outputs a signal (BULLISH/BEARISH) with confidence and edge scores.

Yes. The desktop app supports encrypted API key management, so you can bring your own Finnhub, NewsAPI, CoinGecko, and other exchange credentials. Keys are encrypted locally and never transmitted. For the cloud API, you can optionally provide your own data source credentials via secure API endpoints.

Yes, Forge Signal includes a full REST API for analyzing assets, retrieving signal history, managing watchlists, and configuring alerts. WebSocket connections are available for real-time streaming. API responses include detailed factor breakdowns, confidence scores, and caution flags for production trading systems.

Forge Signal includes a built-in backtesting engine that replays your strategy against historical data with walk-forward analysis, slippage modeling, and commissions. You can optimize parameters and stress-test your signals before deploying to live trading. Results show win rate, drawdown, Sharpe ratio, and other key metrics.

Enterprise customers can deploy Forge Signal on-premise or in their own private cloud. We provide Docker containers, Kubernetes manifests, and comprehensive deployment guides. On-premise deployments include dedicated support, custom integrations, and full access to upgrade independently.

Signals are generated in real-time as new market data arrives, with analysis completing in under 1 millisecond per asset. Desktop app users see live updates. API users can subscribe to WebSocket streams for instant notifications, or poll REST endpoints on your preferred interval. Signal confidence and factors are recalculated continuously.

Accuracy depends on asset, timeframe, and market conditions. Our backtests show 55-65% directional accuracy on daily equity signals, with higher accuracy on higher-confidence signals. We prioritize quality over quantity: confidence scores help you filter for high-edge setups. All signals include uncertainty quantification so you can size positions appropriately.

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