About AgentSmyth

AgentSmyth develops autonomous AI agents that provide real-time financial analysis across macroeconomic trends, sector performance, and option flow monitoring. By delivering actionable insights tailored to financial professionals, the platform enhances decision-making efficiency and accuracy in investment strategies.

```xml <problem> Financial professionals often face challenges in efficiently analyzing vast amounts of data to identify actionable insights across macroeconomic trends, sector performance, and option flows. Traditional methods can be time-consuming and may not provide the real-time analysis needed for timely investment decisions. This can lead to missed opportunities and less effective investment strategies. </problem> <solution> AgentSmyth offers a platform of autonomous AI agents designed to provide real-time financial analysis, delivering actionable insights tailored to the specific needs of financial professionals. These agents cover macro, micro, fundamentals, technicals, derivatives, and cash perspectives, acting as dedicated partners to enhance decision-making. By stacking the insights from individual agents, the platform creates a multi-dimensional, comprehensive perspective that goes beyond the obvious, ensuring nothing is overlooked in the financial landscape. The AI agents identify market-moving prints, track whale-sized block trades, and detect cross-venue liquidity patterns in real-time. </solution> <features> - Real-time analysis of macroeconomic trends, sector performance, and option flows - Autonomous AI agents specializing in macro trends (Agent M), sentiment analysis (Agent S), technical analysis (Agent Q), options flow monitoring (Agent O), and earnings analysis (Agent E) - Multi-factor analysis combining insights from multiple agents for a comprehensive market view - Ticker Pulse for live diagnostics on specific stocks, tracking movement, momentum, sentiment shifts, and positioning - Dark Pool Analytics to track institutional footprints and liquidity patterns in real-time - Agent M's Time Machine to rewind and review market narratives from any date - Daily morning note providing a pre-market brief covering long-term and short-term macro perspectives - SOC 2 Type 1 compliance ensuring enterprise-grade security for institutional clients </features> <target_audience> The primary target audience includes institutional traders, hedge funds, asset managers, and other financial professionals who require real-time, data-driven insights to improve their investment strategies. </target_audience> ```

What does AgentSmyth do?

Where is AgentSmyth located?

AgentSmyth is based in East New York, United States.

When was AgentSmyth founded?

AgentSmyth was founded in 2024.

How much funding has AgentSmyth raised?

AgentSmyth has raised 2500000.

Who founded AgentSmyth?

AgentSmyth was founded by Daniel McCooey.

Daniel McCooey - Co-Chief Executive Officer/Co-Founder

Location

East New York, United States

Founded

2024

Funding

2500000

Employees

9 employees

Major Investors

Michael Rafferty

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AgentSmyth

Score: 100/100

AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

agentsmyth.com 1K+

Crunchbase

Founded 2024 – East New York, United States

Funding

Estimated Funding

$2.5M+

Major Investors

Michael Rafferty

Team (5+)

Daniel McCooey

Co-Chief Executive Officer/Co-Founder

Company Description

Problem

Financial professionals often face challenges in efficiently analyzing vast amounts of data to identify actionable insights across macroeconomic trends, sector performance, and option flows. Traditional methods can be time-consuming and may not provide the real-time analysis needed for timely investment decisions. This can lead to missed opportunities and less effective investment strategies.

Solution

AgentSmyth offers a platform of autonomous AI agents designed to provide real-time financial analysis, delivering actionable insights tailored to the specific needs of financial professionals. These agents cover macro, micro, fundamentals, technicals, derivatives, and cash perspectives, acting as dedicated partners to enhance decision-making. By stacking the insights from individual agents, the platform creates a multi-dimensional, comprehensive perspective that goes beyond the obvious, ensuring nothing is overlooked in the financial landscape. The AI agents identify market-moving prints, track whale-sized block trades, and detect cross-venue liquidity patterns in real-time.

Features

Real-time analysis of macroeconomic trends, sector performance, and option flows

Autonomous AI agents specializing in macro trends (Agent M), sentiment analysis (Agent S), technical analysis (Agent Q), options flow monitoring (Agent O), and earnings analysis (Agent E)

Multi-factor analysis combining insights from multiple agents for a comprehensive market view

Ticker Pulse for live diagnostics on specific stocks, tracking movement, momentum, sentiment shifts, and positioning

Dark Pool Analytics to track institutional footprints and liquidity patterns in real-time

Agent M's Time Machine to rewind and review market narratives from any date

Daily morning note providing a pre-market brief covering long-term and short-term macro perspectives

SOC 2 Type 1 compliance ensuring enterprise-grade security for institutional clients

Target Audience

The primary target audience includes institutional traders, hedge funds, asset managers, and other financial professionals who require real-time, data-driven insights to improve their investment strategies.