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Project FIN Review

Project FIN is a platform that collects and analyzes stock market data to provide predictions on stock prices, incorporating machine learning and statistical analysis.

shipped Aug 31, 2026researchpaid
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Project FIN — product screenshot

Why it matters

1Provides stock price predictions for 1, 2, and approximately 10 days out.
2Incorporates analysis of 12 cognitive biases (e.g., FOMO, herding) from news data.
3Offers a free plan with access to one predefined ticker and competitor.
4Standard paid plan is available at $50/month, with usage pricing at $0.10 per prediction.

About Project FIN

Business Model
Subscription SaaS
Usage Pricing
$0.10/prediction per prediction
Founded
2023
Team Size
10-50
Funding
Seed
Total Raised
$1 million
Platforms
Web, API
Target Audience
Investors and financial analysts

Pricing Plans

Standard
$50/mo
  • • Real-time predictions
  • • Access to dashboard
  • • Multi-modal data analysis

Cost Examples

  • • 1 prediction: $0.10

Leadership

Jane SmithCTOLinkedIn

Investors

Investor A, Investor B

API Docs

overview

What is Project FIN?

Project FIN is a financial prediction and learning system developed by Project FIN that enables investors and financial analysts to explore markets and engage in probabilistic thinking. It operates as a closed-loop pipeline, collecting diverse financial data including stock prices, RSS news feeds, company financials, and options data to generate signals and predict stock prices.

features

Key Features of Project FIN

Project FIN incorporates a range of features designed for financial market analysis and prediction, leveraging proprietary AI/ML models and data integration.

  • Real-time stock price predictions for 1, 2, and approximately 10 days out.
  • Sentiment and news analysis, including scoring for 12 cognitive biases (e.g., FOMO, herding, loss aversion, anchoring) using psychological datasets and Retrieval-Augmented Generation (RAG).
  • Self-improving algorithms that continuously learn from past predictions and validate against actual outcomes.
  • Competitor sentiment analysis to provide comparative market insights.
  • AI-driven insights derived from proprietary financial prediction models and AI agents.
  • Proprietary function calling capabilities for advanced data processing.
  • Multimodality support for text and numerical data inputs.
  • Integration with external platforms via API (https://api.f1n.tech/docs), Slack, and Zapier.

use cases

Who Should Use Project FIN?

Project FIN is designed for individuals and professionals seeking advanced analytical tools for financial markets, with a focus on exploration and probabilistic thinking rather than direct investment advice.

  • Investors: To gain alternative perspectives on market movements and understand psychological influences.
  • Financial Analysts: For in-depth market exploration, sentiment analysis, and risk assessment.
  • Researchers: To study the impact of cognitive biases on market dynamics using its unique scoring system.
  • Developers: To integrate financial prediction capabilities into custom applications via its API.

how to use

How to Use Project FIN

To begin using Project FIN, users can access its web platform or integrate its capabilities via API. The system processes diverse financial data daily to generate predictions and insights.

  • 1Access the Project FIN platform via f1n.tech.
  • 2Utilize the free plan to monitor one predefined ticker and one competitor.
  • 3Subscribe to a paid plan for access to additional tickers and custom configurations.
  • 4Input specific stock tickers or financial instruments for analysis.
  • 5Review the generated stock price predictions, confidence ranges, and cognitive bias scores.
  • 6Integrate with Slack or Zapier for automated notifications or workflows, or use the API for custom applications.

pricing

Project FIN Pricing & Plans

Project FIN offers a free tier with limited access and paid plans for expanded functionality, reflecting the operational costs associated with its AI/ML models.

  • Free Plan: Provides access to one predefined ticker and one predefined competitor.
  • Standard Plan: Priced at $50 per month, offering access to additional tickers and custom configurations.
  • Usage Pricing: An additional cost of $0.10 per prediction applies beyond the base plan, covering AI token expenses.

Pros

  • +Unique cognitive bias analysis (12 biases) from news data using RAG.
  • +Closed-loop learning system continuously improves prediction accuracy.
  • +Provides probabilistic price predictions with confidence ranges for various time horizons.
  • +Integrates diverse financial data sources for comprehensive analysis.
  • +Offers an API for custom integrations and development.
  • +Free plan available for basic market exploration.

Cons

  • −Limited public reception and user reviews as of August 2026.
  • −Explicitly states it is not for investment advice, which may limit appeal for users seeking direct trading signals.
  • −Specific pricing tiers beyond the free and standard plans are not publicly detailed.
  • −Usage-based pricing ($0.10/prediction) can accumulate costs for high-volume users.
  • −Relatively new project (introduced August 2026) with limited market maturity.

Similar Tools

Project FIN vs Competitors

Project FIN differentiates itself by focusing on market exploration, probabilistic thinking, and detailed cognitive bias analysis, rather than providing direct investment advice, which is a common offering among many AI financial tools.

1

AlphaSense

Provides AI-powered market intelligence and sentiment analysis from diverse financial data sources, similar to Project FIN's signal generation.

Visit→
2

Magnifi

Offers AI-driven insights for investment exploration and decision-making across various financial instruments.

View on Stork→
3

Energent.ai

Specializes in AI-driven quantitative analysis and financial modeling, converting unstructured data into actionable insights and predictions.

Visit→

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