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AI Agents Guide

AI Agents Guide

Stocknear's AI Agents combine large language model intelligence with real-time market data to transform financial analysis. These specialized tools help retail investors make data-driven decisions by providing actionable insights on stocks, options flow, dark pool activity, and institutional positioning.

@StockScreener Agent

Filters stocks based on custom financial criteria and metrics.

Requirements: Define screening rules using financial metrics

Screens stocks using parameters like:

Valuation ratios (P/E, P/S)
Growth metrics (revenue, EPS)
Profitability indicators
Technical indicators

Example prompt:

@StockScreener find undervalued tech stocks with P/E under 20 and revenue growth above 15%

@Analyst Agent

Requirements: Stock ticker (e.g., AMD)

Provides Wall Street analyst perspectives including:

Upgrades/downgrades
Price targets
EPS estimates
Consensus ratings

Example prompt:

@Analyst show recent analyst actions for Nvidia with price targets

@BullvsBear

Requirements: Stock ticker (e.g., AMD)

Generates balanced investment theses by analyzing:

Fundamental strengths/weaknesses
Market sentiment indicators
Competitive positioning
Technical analysis

Example prompt:

@BullvsBear present bull and bear cases for Tesla stock

@CompareStocks

Requirements: 2+ stock tickers (e.g., AMD, INTC)

Compares companies across key dimensions:

Financial metrics
Growth trajectories
Valuation multiples
Market positioning

Example prompt:

@CompareStocks compare AMD and Intel on financial health and growth prospects

@DarkPoolData Agent

Requirements: Stock ticker (e.g., AMD)

Reveals institutional dark pool activity including:

Block trade volume
Unusual liquidity patterns
Historical dark pool trends
Institutional positioning

Example prompt:

@DarkPoolData show recent dark pool activity for Apple

@FundamentalData Agent

Requirements: Stock ticker (e.g., AMD)

Analyzes SEC filings and financial statements:

Income/balance sheet statements
Cash flow analysis
Financial ratios
Ownership metrics

Example prompt:

@FundamentalData analyze Microsoft's latest balance sheet and cash flow

@OptionsData Agent

Requirements: Stock ticker (e.g., AMD)

Examines options market dynamics including:

Open interest concentrations
Volume anomalies
Implied volatility trends
Max pain calculations

Example prompt:

@OptionsData show unusual options activity for Amazon

@OptionsFlowFeed Agent

Requirements: None

Tracks institutional options activity in real-time:

Large block trades
Sweep orders
Unusual volume spikes
Institutional positioning

Example prompt:

@OptionsFlowFeed show largest institutional options orders today

@Investor Agent

Emulates investment strategies of legendary investors:

Requirements: Investor name + stock ticker

@WarrenBuffett - Value investing focus
@CharlieMunger - Quality business analysis
@BenjaminGraham - Value investing fundamentals & margin of safety
@PeterLynch - Growth investing approach
@MichaelBurry - Contrarian deep value
@CathieWood - Disruptive innovation focus

Example prompt:

@WarrenBuffett would Coca-Cola meet your investment criteria today?