# Introduction

## 1. Getting Started

### Overview

Trench Radar Filters is a sophisticated tool designed to detect and analyze token movements on Solana. By combining multiple detection strategies with machine learning, the system helps identify potential opportunities before they become widely known.

### Key Features

#### 🎯 Multi-Category Detection

* **Whale Tracking**: Monitor large wallet movements and KOL (Key Opinion Leader) activities
* **Insider Detection**: Identify potential pre-launch buying patterns
* **Fresh Wallet Analysis**: Track newly funded wallets from CEX
* **Market Metrics**: Filter based on market cap, liquidity, and other key indicators
* **Social Signals**: Monitor Twitter activity and social momentum
* **Volume Analysis**: Track and analyze trading volumes across multiple timeframes
* **Bundle Analysis**: Detect coordinated buying patterns and supply concentration

#### 🔬 Advanced Backtesting

* Test your filter configurations against historical data
* Analyze performance metrics and success rates
* Fine-tune parameters based on real results

#### 🤖 Smart Scoring System

The system uses a sophisticated scoring algorithm that:

* Weighs multiple signals simultaneously
* Considers historical wallet performance
* Evaluates market conditions and risk factors
* Provides confidence scores for each alert
* Custom AI-Powered model (Overseer)&#x20;

### Getting Started

#### 1. Access the System

Start by accessing the bot through Telegram:

1. Open Telegram
2. Search for `@TrenchRadarBot`
3. Click "Start" to initialize the bot

#### 2. Basic Commands

* `/alerts` - Access the alert configuration menu
* `/help` - View available commands
* `/predict`- Run a prediction or score analysis on any token if data for it is available
* Token CA - scan the token and view full info of anything interested.&#x20;

#### 3. Creating Your First Filter

**Quick Start with Presets**

if you're used to our existing bots, you can use a preset that mimics the existing channels!

1. Use `/alerts` command
2. Select "⭐️ Load Preset Filter"
3. Choose a preset that matches your strategy:
   * "Early Twitter Tracker" for social momentum
   * "Insider Whale Tracker" for large wallet movements
   * "Pump Fun Insiders" for coordinated buying detection

**Custom Filter Creation**

1. Use `/alerts` command
2. Select "➕ Create Custom Filter"
3. Name your filter
4. Enable desired categories
5. Configure parameters for each category
6. Save and activate your filter

#### 4. Understanding Alert Messages

Alert messages include:

* Token information and metrics
* Matched criteria details
* Quick links for research
* Performance indicators
* Risk metrics

Example alert structure, using volume parameters:\
![](/files/eXyAdG4uMmdq64Lcnm3b)

5\. Next Steps

1. **Explore Categories**: Familiarize yourself with different detection categories
2. **Run Backtests**: Test your filters against historical data
3. **Fine-tune Parameters**: Adjust settings based on backtest results
4. **Monitor Performance**: Track your filter's success rate
5. **Join Community**: Share strategies and learn from other users

### Important Notes

#### Risk Management

* Always conduct your own research
* Start with conservative parameters
* Use multiple confirmation signals
* Monitor token liquidity and market cap

#### System Limitations

* Historical data limited to 14 days
* Some features require minimum token metrics
* Alert delivery may have slight delays, especially if bundles are enabled
* Market conditions affect signal quality

#### Best Practices

* Combine multiple detection categories
* Use backtesting before deploying filters
* Start with preset filters to learn the system
* Regularly review and adjust your filters


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# Agent Instructions: Querying This Documentation

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```
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```

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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.
