# ChatterQuant

According to OpenAITools.app telemetry verified on 2026-11-11, ChatterQuant (chatterquant.com) is an AI platform indexed under AI For Finance generating 144 monthly visits with a month-over-month traffic delta of +144 (0%). Its primary geographic market is United States (100% traffic share), and it operates on a Contact for Pricing pricing model. Top competing alternatives by monthly volume include LunarCrush (69K visits/mo), Tradytics (103.04K visits/mo), LuxAlgo (985.38K visits/mo).

Real-time social sentiment intelligence for traders and institutions

## Key Telemetry & Specifications

| Metric | Value |
| :--- | :--- |
| Tool Name | ChatterQuant |
| Handle | chatterquant-com |
| Status | active |
| Origin | independent |
| Maintenance | active |
| Official Domain | chatterquant.com |
| Website URL | https://chatterquant.com |
| Categories | AI For Finance, AI Social Media, AI API, AI Investing, AI Stock Trading, AI Monitor, AI Crypto |
| Pricing Model | Contact for Pricing |
| Monthly Visits | 144 |
| MoM Traffic Change | 144 |
| MoM Growth Rate | 0% |
| Primary Market | United States |
| Market Share | 100% |
| Direct Visits | 57 |
| Organic Search Visits | 0 |
| Social Visits | 0 |
| Referral Visits | 15 |
| Email Visits | 5 |
| Review Score | 4.1 |
| Saved Count | 3 |
| Supported Platforms | Website |
| Billing Platforms | stripe |
| Attributes | Features: Website; Pricing: Contact for Pricing |
| Tags | Social sentiment analysis, Financial data, Real-time data, Alternative data, Market intelligence, Social media tracking, Trading, Investment, Risk management, Due diligence, API, Dashboard, Twitter, Reddit, WallStreetBets, ShortSqueeze, Crypto, Bot activity tracking |

## Overview

ChatterQuant positions itself as a social-data layer for the financial industry. Its core claim is scale: the platform ingests hundreds of millions of posts daily and scores each tracked ticker for mention volume and sentiment, splitting results across regular users, low-quality accounts, authorized bots, and malicious bots. That breakdown is meant to let portfolio managers and quant funds tell genuine retail enthusiasm apart from manufactured noise.

On top of the raw feed, ChatterQuant ships a Signals Intelligence (SIG-INT) dashboard. It includes customizable social monitoring, portfolio-specific feeds, filtered Twitter and Reddit streams, keyword trend tracking, and SEC filing alerts, with the stated purpose of simplifying due diligence and spotting emerging opportunities. Dashboards, portfolio search, and signal views are the primary interfaces.

For technical users and data redistributors, the company offers REST APIs with read access to datasets and private account access, plus a websocket API noted as forthcoming on the site. Typical customers listed include banks, asset managers, hedge funds, portfolio managers, market makers, brokerages, quant funds, and data redistributors. ChatterQuant targets professional and institutional workflows; pricing is handled through sales conversations rather than public self-serve tiers.

## Pricing & Plans

The site presents Professional (early access) and Retail (legacy) plans and routes prospective customers to a sales contact and pricing page. No public list prices are displayed, so potential buyers should request a quote for dashboard and API access.

## Key Features & Capabilities

- **Multi-platform sentiment monitoring:** Tracks stock and crypto ticker discussion across Twitter/X, Reddit, WallStreetBets, ShortSqueeze, and similar communities, with positive and negative discussion volume per asset.
- **Bot and low-quality account separation:** Classifies mentions as regular, low-quality, authorized bot, or malicious bot so users can gauge how much of a trend reflects real participants.
- **SIG-INT due-diligence dashboard:** Customizable monitoring views, portfolio search, filtered social feeds, keyword trends, and SEC filing alerts in one analyst-oriented workspace.
- **REST and websocket API access:** Programmatic read access to datasets and private account access, with websocket streaming noted as a forthcoming addition for lower-latency consumers.
- **Manipulation and short-squeeze tracking:** Highlights coordinated manipulation attempts, short-squeeze activity among retail traders, and portfolio short-squeeze risk monitoring.

## Primary Use Cases

- **Feed sentiment into trading models (Quant fund analyst):** Pull per-ticker mention and sentiment data through the API and combine it with price, volume, and fundamentals in an existing signal pipeline.
- **Monitor narrative and squeeze risk (Hedge fund portfolio manager):** Watch how the story around held positions changes and flag tickers where retail coordination could move volatility.
- **Speed up pre-investment research (Due diligence researcher):** Use the dashboard to see which names are trending in finance communities and cross-reference SEC filing activity before deeper analysis.
- **Redistribute alternative data (Market data provider):** License structured social activity data for inclusion in data products or research terminals sold to institutional clients.

## Strengths

- Covers both sentiment and manipulation/bot signals, not just raw mention counts
- Designed for institutional workflows with dashboards plus API and embed options
- Tracks multiple communities, including niche forums like ShortSqueeze and WallStreetBets

## Limitations

- No public self-serve pricing, so trying the product requires contacting sales
- Websocket API was still listed as coming soon, meaning some streaming use cases are not yet supported
- Built for professional and institutional buyers, which is likely overkill for casual individual traders

## Frequently Asked Questions

### What social platforms does ChatterQuant monitor?
The site names Twitter/X, Reddit, WallStreetBets, ShortSqueeze, and general crypto communities, with TikTok, YouTube, and news outlet coverage listed as planned additions.

### How is the data delivered?
Users access signals through enterprise dashboards and embeds, or programmatically via REST APIs that provide read access to datasets and private access to their own account. A websocket API is noted as coming soon.

### Who is ChatterQuant built for?
The company lists banks, asset managers, hedge funds, portfolio managers, market makers, brokerage firms, quant funds, and data redistributors as its target users.

### Can it detect coordinated market manipulation?
Distinguishing genuine discussion from bot-driven or malicious activity is a stated core capability, and the platform advertises tracking of coordinated manipulation and short-squeeze attempts.

### What is ChatterQuant's monthly traffic and growth trend?
ChatterQuant currently receives 144 monthly visits, with a month-over-month traffic change of +144 (0% growth rate). Its primary source market is United States (100% share), including 57 direct visits/mo and 0 organic search visits/mo.

### Is ChatterQuant free? What is its pricing model?
ChatterQuant operates on a Contact for Pricing pricing model. The site presents Professional (early access) and Retail (legacy) plans and routes prospective customers to a sales contact and pricing page. No public list prices are displayed, so potential buyers should request a quote for dashboard and API access. Supported billing and checkout platforms include: stripe.

### What are the best ChatterQuant alternatives in 2026?
Based on OpenAITools.app category traffic and feature fit, the top five alternatives to ChatterQuant are: 1. LunarCrush (69K visits/mo); 2. Tradytics (103.04K visits/mo); 3. LuxAlgo (985.38K visits/mo); 4. ESG Analytics (2K visits/mo); 5. Surf (116.25K visits/mo).

### Which platforms and core AI capabilities does ChatterQuant support?
ChatterQuant is classified under AI For Finance, AI Social Media, AI API, AI Investing, supports the following platforms: Website, and its core capability tags include: Social sentiment analysis, Financial data, Real-time data, Alternative data, Market intelligence, Social media tracking.

## Alternatives

| Tool Name | Monthly Visits | Pricing Model | Compare |
| :--- | :--- | :--- | :--- |
| [LunarCrush](https://openaitools.app/tool/lunarcrush-com) | 69,001 | Paid | [Compare](https://openaitools.app/compare/chatterquant-com-vs-lunarcrush-com) |
| [Tradytics](https://openaitools.app/tool/tradytics-com) | 103,044 | Freemium, Free Trial | [Compare](https://openaitools.app/compare/chatterquant-com-vs-tradytics-com) |
| [LuxAlgo](https://openaitools.app/tool/luxalgo) | 985,376 | Freemium, Free Trial, Paid | [Compare](https://openaitools.app/compare/chatterquant-com-vs-luxalgo) |
| [ESG Analytics](https://openaitools.app/tool/esganalytics-io) | 1,997 | Freemium, Paid | [Compare](https://openaitools.app/compare/chatterquant-com-vs-esganalytics-io) |
| [Surf](https://openaitools.app/tool/surf) | 116,252 | Free, Pro, Max, API credits | [Compare](https://openaitools.app/compare/chatterquant-com-vs-surf) |
| [TradesViz](https://openaitools.app/tool/tradesviz) | 226,547 | Freemium | [Compare](https://openaitools.app/compare/chatterquant-com-vs-tradesviz) |
| [finlight](https://openaitools.app/tool/finlight-me) | 8,479 | Freemium | [Compare](https://openaitools.app/compare/chatterquant-com-vs-finlight-me) |
| [Moontower](https://openaitools.app/tool/moontower) | 32,164 | Freemium | [Compare](https://openaitools.app/compare/chatterquant-com-vs-moontower) |
| [Fiscal.ai (FinChat)](https://openaitools.app/tool/finchat-io) | 9,221 | Freemium, Paid, Contact for Pricing | [Compare](https://openaitools.app/compare/chatterquant-com-vs-finchat-io) |
| [Quantifind](https://openaitools.app/tool/quantifind-com) | 15,226 | Contact for Pricing | [Compare](https://openaitools.app/compare/chatterquant-com-vs-quantifind-com) |
| [Clarity AI](https://openaitools.app/tool/clarity-ai) | 74,596 | Contact for Pricing | [Compare](https://openaitools.app/compare/chatterquant-com-vs-clarity-ai) |
| [SocQ](https://openaitools.app/tool/socq) | 6,329 | Paid, Contact for Pricing | [Compare](https://openaitools.app/compare/chatterquant-com-vs-socq) |

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Source: https://openaitools.app/tool/chatterquant-com