Platform Features

Everything You Need to Invest With Confidence

Six powerful tools working together — from AI market analysis to portfolio intelligence, powered by models that explain their reasoning.

6
Core analysis tools
3
Deep-dive datasets
NLP
News sentiment scoring
10+ yrs
Historical backtesting

AI-Powered Market Analysis

Multi-source AI analysis across 10,000+ global stocks. Each signal shows trend direction, confidence level, and the key drivers behind it.

AAPLBullish
92%
TSLANeutral
67%
NVDABullish
88%

News Sentiment Analysis

NLP-powered scoring of news and analyst reports for every ticker in your portfolio — see whether the narrative is bullish, bearish, or neutral.

AAPLPositive
+0.72
TSLANeutral
+0.08
NVDAVery Positive
+0.91

Explainable AI

Every signal comes with a full factor breakdown — see exactly which inputs drove the prediction and how much each one mattered.

Top Drivers — AAPL
Earnings momentum+Strong
Sector rotation+Moderate
Vol compression-Weak

Portfolio Intelligence

Input your holdings and see how market forces affect your specific positions. Simulate rebalancing, track sector exposure, and optimize allocation.

Tech42%
Healthcare23%
Finance18%
Energy12%
Other5%

Advanced Risk Analytics

Comprehensive risk metrics and scenario analysis to protect your portfolio.

VaR
Value at Risk
CVaR
Conditional VaR
β
Beta Analysis
σ
Stress Testing

Market Sentiment

AI-powered analysis of news, social media, and analyst reports to gauge market mood.

  • NLP sentiment scoring
  • Social media trend detection
  • Analyst rating aggregation
  • Institutional activity tracking
Every feature is designed to give you understanding, not just data.
Under the Hood

From Raw Data to Clear Signals

Four specialized ML engines process millions of data points in under a minute — then explain exactly why they reached each conclusion.

Data Ingestion

Real-time feeds from 7+ institutional sources — prices, filings, macro indicators, congressional trades, and global economic data.

Recent IngestionLive
SEC EDGARAAPL 10-Q filing detected
2m ago
FREDCPI data release — Apr 2026
14m ago
CongressSenate trade disclosure — NVDA
1h ago
Illustrative only — not real-time data

By the Numbers

The scale behind every signal you see on the platform.

Features per prediction46+
Specialized ML engines4
Full calculation cycle<1 min
Out-of-sample validationWalk-fwd

Ensemble AI Core

Multiple ML models work together — each specializing in a different aspect of market behavior. The ensemble approach reduces false signals and increases prediction reliability.

Temporal Engine

Analyzes time-series patterns, seasonality, and momentum across multiple horizons

Pattern Engine

Identifies technical chart formations, support/resistance levels, and breakout signals

Sentiment Engine

NLP scoring of news, earnings calls, analyst reports, and social media narratives

Risk Engine

Calculates VaR, volatility regimes, correlation shifts, and tail-risk exposure

Signal Output

Every stock gets a directional trend signal with a confidence score — updated continuously as new data arrives.

NVDABullish
Confidence88%
Sentiment+0.91
Illustrative only — not real-time data

Why, Not Just What

SHAP-powered explainability breaks down every prediction into its component drivers — so you understand exactly what's moving the needle.

Top Drivers — NVDABullish
Earnings momentum+82%
Institutional accumulation+68%
Sector rotation inflow+54%
Volatility compression-31%
Illustrative only — not real-time data
Complexity under the hood.
Clarity in your hands.
Alternative Data

Congressional & Insider Trading

Track what officials and insiders are buying and selling. Derived from SEC filings and House/Senate Stock Watcher — the same information institutional investors use.

SEC Filing Detected
Congressional trade — NVDA purchase
SEC EDGARHouse Stock WatcherAI-Derived
60+
Countries
FRED
Fed Reserve Data
WB
World Bank
AI
Derived Insights
Macro Intelligence

Global Economic Context

Understand how macro forces affect your portfolio. 60+ countries of economic data from the World Bank and FRED, distilled into clear signals you can act on.

Backtesting

Historical Analysis

Explore how markets behaved under different conditions — 10+ years of context to validate strategies before risking real capital.

  • Walk-forward optimization
  • Monte Carlo simulations
  • Slippage and commission modeling
  • Out-of-sample testing

See every feature in action

Six tools, three deep-dive datasets, and 10+ years of history — all working together from day one. Free to start.