Features

Finance Agent

Learn how to use Pineify's Finance Agent to access real-time market data, analyze company financials, screen stocks, and conduct investment research through AI chat.

The Finance Agent is an AI-powered research assistant that connects to professional financial data APIs, giving you access to live market quotes, company fundamentals, analyst estimates, and more — all through a conversational interface.

You can access the Finance Agent from the Pineify Chat interface.

Pineify Finance Agent

Getting Started

  1. Open the Chat section in Pineify.
  2. Ask any financial question — for example, "What's Apple's current P/E ratio?" or "Show me the top gainers today."
  3. The Finance Agent fetches live data from financial APIs and presents a clear, structured answer.

No financial background is required. The agent interprets plain-language questions and returns actionable data.

Core Features

Real-Time Market Data

Real-Time Market Data

Get up-to-the-minute pricing and market activity without leaving the chat:

  • Stock, Options, Forex & Crypto Quotes: Live prices updated during market hours across global exchanges.
  • Market Movers: Top gainers, losers, and most actively traded securities.
  • Financial News & Press Releases: Breaking stories and corporate announcements as they happen.
  • Economic Calendar: Upcoming economic events (CPI, FOMC, jobs reports) and their expected impact.

Company Financial Analysis

Company Financial Analysis

Dive into any public company's fundamentals through conversation:

  • Financial Statements: Pull income statements, balance sheets, and cash flow reports — annual or quarterly.
  • Key Ratios: P/E, P/B, ROE, debt-to-equity, current ratio, and dozens of other metrics retrieved in real time.
  • Analyst Consensus: Price targets, earnings estimates, and buy/hold/sell recommendation distributions.
  • SEC Filings: Browse 10-K, 10-Q, 8-K, and other regulatory documents directly in chat.
  • Historical Trends: Compare financial metrics across multiple periods to spot growth or deterioration patterns.

AI Stock Screener

AI Stock Screener

Describe your investment criteria in natural language and let the AI build the screen for you:

  • Natural Language Queries: Say "Find healthcare stocks with market cap above $10B and dividend yield over 3%" — the agent translates this into precise filters.
  • Multi-Factor Screening: Combine financial, technical, and sector-based criteria in a single request.
  • Global Market Coverage: Screen across US, European, Asian, and emerging market exchanges.

Additional Capabilities

CapabilityWhat It Covers
Technical IndicatorsSMA, EMA, RSI, MACD, Bollinger Bands, and more — retrieved for any ticker
Earnings TrackingEarnings calendars, surprise history, and upcoming report dates
ETF & Fund DataHoldings, sector weightings, expense ratios, and performance comparisons
IPO & M&A ActivityUpcoming IPOs, recent listings, and merger/acquisition news
Sentiment AnalysisMarket sentiment derived from news flow and analyst commentary

How It Differs from General AI Chatbots

General-purpose AI models like ChatGPT rely on training data with a fixed knowledge cutoff. When you ask for a stock price or financial ratio, the answer may be months or years out of date.

The Finance Agent works differently — it calls live financial data APIs on every request. The numbers you see are fetched in real time, not generated from memory. This eliminates the hallucination problem for factual financial data.

Example Queries

Here are some ways traders and investors use the Finance Agent:

  • "Analyze Tesla's financial health — revenue trends, margins, and debt levels"
  • "What's moving in the market today?"
  • "Compare AAPL and MSFT on P/E, revenue growth, and free cash flow"
  • "Find undervalued small-cap stocks with positive earnings growth"
  • "Show me upcoming earnings reports for this week"
  • "What are the top analyst price targets for NVDA?"

Availability

The Finance Agent is available to all Pineify subscribers. AI usage is measured in credits, which refresh monthly. The amount of data fetched per query varies, but typical research questions consume minimal credits.

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