# Introduction

Recon is **the all‑in‑one data‑driven platform for prediction markets**. Built on top of Polymarket, it helps you **track smart money**, **discover top traders**, and **systematically copy or learn from their strategies** instead of making isolated, ad‑hoc bets.

Recon is:

* **Powered by real trading activity** – all analytics and insights are derived from live prediction market behavior.
* **Designed to maximize your profit** – rankings, alerts, and tools are built to help you consistently find and exploit high‑EV opportunities.
* **Data-Driven** – with tools like **Trader Smart Scores**, **wallet‑tracking**, an **Insider Finder**, and (soon) **copy‑trading** to help you act on that information.

#### Core Concepts

* **Trader Smart Scores**\
  A proprietary 6‑factor algorithm that provides a **360° evaluation of trader performance** and surfaces a score on a 0–100 scale.
* **Wallet‑Tracking**\
  Track transactions for any user by category (e.g. politics, crypto, sports, finance) and receive alerts through Recon’s Telegram‑based alerting system.
* **Insider Finder**\
  A detection tool that **flags suspicious buys from new accounts** so you can investigate potential “insider‑like” activity.
* **Copy‑Trading (Coming Soon)**\
  A planned feature that will let you automatically mirror the trades or strategies of selected high‑performing traders, with your own risk settings.

#### Who Recon Is For

* **Retail prediction market traders** who want to follow “sharps” instead of guessing.
* **Power users and quants** who want structured stats, alerts, and rankings.
* **Creators / public traders** who want to showcase performance and build a following.

#### What Recon Is *Not*

Recon gives you **data, rankings, alerts, and tools**—it does *not* guarantee profits or provide financial advice. Past performance is not a guarantee of future results. Always size your risk appropriately and do your own research before trading.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://recon-5.gitbook.io/recon/readme.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
