Behind every great protocol lies a team of builders, thinkers, and innovators committed to reshaping the future.

TradeMind is crafted by a highly specialized group of Web3 technologists, AI pioneers, and financial system disruptors. Together, we are pioneering the next wave of intelligent decentralized trading infrastructure.

Meet the TradeMind Team

🎯 Mario Anastasov

Role: Backend Developer

About Mario: Mario is the engine behind TradeMind's backend systems — ensuring that all decentralized data flows seamlessly and securely. Since 2022, he has specialized in Web3-native server infrastructure, combining blockchain protocol integrations with traditional backend robustness.

Areas of Expertise:

• Blockchain API integrations (Solana RPCs, on-chain data)

• High-availability backend system design

• Smart contract interaction layers

Philosophy:

“Great infrastructure is invisible — but without it, innovation collapses.”

Mario's Contributions:

• Built TradeMind’s real-time portfolio sync engines.

• Developed the secure backend environment for multi-wallet support.

• Leads smart-contract data interaction pipelines.

🧠 Viktor Vasiljev

Role: Lead Developer, AI & ML Specialist

About Viktor: Viktor holds a PhD in Machine Learning, with 5+ years applying cutting-edge AI to financial market behavior. He specializes in predictive modeling, market pattern recognition, and NLP-driven sentiment analysis — enabling TradeMind’s AI to understand, predict, and react to market events dynamically.

Areas of Expertise:

• Deep Learning for predictive trading signals

• Financial Time Series Analysis

• Language Models for Crypto sentiment mining

Philosophy:

“Markets are conversations — if you listen carefully, you can predict their next move.”

Viktor's Contributions:

• Designed TradeMind’s Advanced AI Models roadmap (Q3 2025).

• Led the development of predictive liquidity and trading signal engines.

• Architected AI-agent modules for real-time user queries.

🌐 Bozhidar Tonev

Role: Frontend Developer

About Bozhidar: Bozhidar is the user’s advocate — designing and building frontend systems that make the TradeMind platform intuitive, beautiful, and highly responsive. With 7+ years across Web2 and Web3 ecosystems, he blends traditional usability principles with decentralized technology fluency.

Areas of Expertise:

• Web3 Interface Development (React, Next.js, Tailwind)

• Decentralized UX Design (Wallet Connect, RPC Data Handling)

• Community Engagement and Growth

Philosophy:

“The future belongs to platforms that users love, not just platforms they use.”

Bozhidar's Contributions:

• Designed the dynamic TradeMind dashboard UI.

• Led the development of Portfolio Analytics and Token Research interfaces.

• Structured the modular frontend architecture to support composable feature expansion.

Our Values

• Decentralization First: Every feature we build protects user sovereignty and on-chain transparency.

• AI-Augmented Human Intelligence: We don’t replace traders; we empower them with smarter tools.

• Composable Innovation: Modular architectures, open APIs, and permissionless extensions are in our DNA.

Our Commitment

At TradeMind, we build:

• For the trader: providing real-time, predictive, decentralized insights.

• For the builder: enabling flexible integrations and extensibility.

• For the ecosystem: pushing the entire Web3 financial stack forward.

Join the Movement

TradeMind is not just a platform — it's an open invitation to shape the future of decentralized trading intelligence. As we evolve, the community will always be at the center of how we build, refine, and expand.

🚀 Stay tuned. Build with us. Trade smarter.

TradeMind Platform - Full Architecture Overview

Introduction

The TradeMind Platform integrates AI-driven trading analytics, liquidity tracking, and token research capabilities within a unified Web3 environment. Built for the Solana blockchain ecosystem and compatible with multi-chain expansion, TradeMind emphasizes real-time insights, automation, and intelligent asset management.

This document elaborates on the full system structure as visualized in the latest architecture diagram.

1. Core Layer: TradeMind Platform

At the heart of the system lies the TradeMind Core Platform.

Responsibilities:

• Orchestrates interactions between modules

• Manages data synchronization

• Handles session management and AI task planning

• Ensures scalability, fault tolerance, and modular growth

2. Primary Modules

The platform branches into five main modules, each serving critical roles:

3. Sub-Modules (Feature Breakdown)

Each main module consists of sub-features designed for specialized tasks:

4. External Infrastructure Layer

TradeMind connects seamlessly to blockchain infrastructures and third-party services via a robust External Infrastructure Layer:

The connections between the modules and external systems are designed with redundancy and load balancing to maintain 99.99% uptime and low latency data access.

5. Data Flow and Control Flow

plaintextCopyEditUser Interaction ➔ TradeMind Platform ➔ Primary Module ➔ Sub-Feature ➔ Blockchain / External APIs ➔ Result Delivery

• Requests (user clicks, chat prompts, etc.) are processed by the platform.

• Modules perform the necessary analysis or fetches.

• Sub-features execute specific queries.

• Data Sources are contacted if real-time or historical data is needed.

• Results are rendered back to the user with minimal delay (~300ms average).

6. Key Design Principles

7. User Experience Highlights

• Pitch-black interface with Solana gradient colors (teal, purple, blue) for visual clarity and brand identity.

• Instant asset switching (SOL, ETH, BTC, etc.) across all views.

• Manual and automatic data refresh options.

• Integrated News and Market Intelligence within Analytics Engine (sentiment + curated news).

📢 Summary

TradeMind's architecture is purpose-built for Web3 trading intelligence, merging AI automation, analytics, and blockchain interaction into a streamlined, extensible platform.

"Trade smarter, move faster, stay ahead — with TradeMind."

TradeMind: The shift in Web3 Trading Intelligence

Introduction

TradeMind emerges to redefine the future: From fragmented dashboards to a living, intelligent financial network.

1. The Crisis of Web3 Trading Tools

Fragmented Tools, Isolated Intelligence

• Multiple dashboards and trackers deliver scattered insights.

• No unified integration of liquidity, portfolio, and predictive analytics.

• Users forced to manually navigate between disconnected tools.

Outcome:

• Delayed trading decisions

• Missed liquidity opportunities

• Data overload without actionable intelligence

Legacy Web2 Mindsets

• Static data pulling instead of live blockchain interaction.

• Centralized, non-composable architecture.

• Treating blockchains as databases, not value-flow networks.

Structural Failures:

• Latency: Insights arrive too late for effective action.

• Inflexibility: Inability to adapt to cross-chain, DeFi, and real-time liquidity shifts.

Capital Market Response

• First-gen Web3 platforms stagnated as innovation slowed.

• Traders and investors demand real-time, predictive, modular intelligence.

• Projects failing to adapt face sharp devaluations.

2. The Paradigm Leap: From Analytics Tool to Living Intelligence

TradeMind leads the next evolution: From static observation to dynamic, decentralized engagement.

3. What is TradeMind?

Overview

TradeMind is a next-generation Web3 Trading Intelligence Network, combining:

• Real-time blockchain analytics

• AI-driven market insights

• Composable liquidity and portfolio modules

Key Principles:

• Live, not lagging: Blockchain interaction in real time

• Predictive, not reactive: AI-enhanced trend detection

• Modular, not monolithic: Composable ecosystem for every user type

TradeMind empowers traders to build, adapt, and evolve their own intelligent trading environments — like assembling living systems from intelligent building blocks.

4. Core Innovations

5. Vision for the Future

TradeMind envisions a dynamic financial network where:

• Traders act with precision and speed.

• Developers create modular financial AI systems.

• Builders extend liquidity, intelligence, and strategy across chains.

6. TradeMind Opportunities

7. Why TradeMind?

• Real-time liquidity and market intelligence

• Predictive AI-driven trading insights

• Composable, extensible, and user-sovereign architecture

• Seamless integration across Solana and multi-chain ecosystems

Conclusion

The era of passive dashboards is over. The era of active, living financial intelligence has begun.

TradeMind isn’t just building a platform — TradeMind is forging the foundation for dynamic, intelligent, decentralized markets.

Welcome to the future of Web3 trading. Welcome to TradeMind.

Why TradeMind Leads the Next Generation of Web3 Trading Intelligence

Introduction

TradeMind isn’t just another analytics tool — it’s the blueprint for a new standard of decentralized trading intelligence. Built from first principles for modularity, real-time data flow, and AI-native insights, TradeMind delivers what first-generation platforms could not.

Competitive Advantages

1. Real-Time Chain Interaction

Unlike static dashboards, TradeMind connects directly to live blockchain states (starting with Solana) to pull real-time liquidity data, portfolio balances, token movements, and market signals.

• Milliseconds, not minutes: Traders operate on live data feeds, not delayed snapshots.

• Actionable Insights: Immediate detection of opportunities and threats.

2. Unified Modular Ecosystem

TradeMind integrates multiple modules within one platform:

• Dashboard

• Analytics Engine

• AI Chat Assistant

• Token Research

• Liquidity Tools

Each module operates independently yet synergistically, enabling:

• Customizable workflows

• Module-specific updates without disrupting the entire system

• Seamless cross-feature interaction (e.g., Market Sentiment directly influencing Portfolio Adjustments)

3. Predictive AI-Enhanced Analytics

TradeMind embeds AI to predict — not just report — trading opportunities:

• Sentiment engines classify live news feeds.

• Trend detection algorithms highlight abnormal trading volumes.

• Predictive liquidity analytics spot emerging DeFi trends before they hit mainstream DEX charts.

The future of trading intelligence is proactive.

4. Decentralized and Composable

TradeMind is built on Web3 principles:

• No central data custody.

• Open APIs and SDKs for building custom AI or liquidity extensions.

• Cross-chain futureproofing: designed for multi-chain analytics beyond Solana.

Users, not platforms, control the future of their trading intelligence.

5. Developer and Builder Ready

TradeMind offers:

• Open APIs for building decentralized trading apps.

• Liquidity data services for DeFi projects.

• AI analytics extensions for personalized trading bots or dashboards.

Whether you are an individual trader or a DeFi protocol builder, TradeMind provides the building blocks for intelligent ecosystems.

Summary: Why TradeMind Wins

Final Thought

In Web3, static observation is a relic. Intelligent interaction is the future.

TradeMind is the first trading intelligence platform that understands this reality — and builds for it. This is not just a new tool. This is the foundation of the decentralized financial intelligence layer.

📈 TradeMind - Analytics Dashboard

AI-powered analytics and insights based on your trading patterns and market trends.

🧠 Sections Overview

The Analytics Dashboard includes several specialized areas:

Tabs

• Personalized Analytics (Active)

• Token Analytics

• Trending Tokens

• Pump Fun Analytics

🪙 Portfolio Summary

Provides a quick overview of the wallet's current Solana assets:

• Update Data button available to refresh portfolio metrics.

• Tokens / NFTs tabs are currently empty (no tokens or NFTs found).

⏰ Wallet Activity Hours

Displays the hours during which the wallet is most active:

• Most Active Hours: 20-24h

• Comparison Chart:

  • Your activity vs. the average user's activity.

  • Visualization with a bar graph.

🤖 AI-Generated Insights

Smart suggestions and notifications based on your trading behavior:

• 🔄 Review Strategy for At#$%t^ trades (-100% ROI).

• 📉 Overall Portfolio is down 5.0% with a total loss of $4.11.

• 📈 Trading Volume has increased by 27% recently.

• 🎯 More Trading Data improves AI precision for analysis.

🔄 Data Refresh

• Manual Update Data option available for live analytics refresh.

🧠 TradeMind - Market Intelligence

Overview

The Market Intelligence module offers users real-time market signals, sentiment analysis, and news aggregation tailored to Solana (SOL) and other crypto assets. It combines AI-driven sentiment scoring with curated news feeds to help traders stay ahead of market movements.

Features

1. Real-Time Sentiment Analysis

• Sentiment Source: Aggregates sentiment from leading crypto news outlets including:

  • Cryptonews

  • The Block

  • NewsBTC

  • Crypto News

• Scoring System:

  • Positive / Bullish Sentiment

  • Negative / Bearish Sentiment

  • Neutral Signal (if balanced)

• Display:

  • Clear "Bullish" or "Bearish" tag based on article consensus.

  • Percentage breakdown (e.g., 90% Positive, 0% Negative).

• Update Frequency:

  • Real-time (updates every few minutes).

2. Curated Crypto News Feed

• Latest Articles: Displays the 10 most recent and relevant articles based on the selected asset (default: Solana).

• Source Quality: Only reputable, vetted crypto news providers are included to maintain information reliability.

• Visual Tags: Articles tagged with sentiment badges (e.g., "Bullish") based on their content and AI analysis.

• Displayed Information:

  • Headline and short summary

  • Article source

  • Time since publication (e.g., "29 min ago")

  • Direct external link to the full article

3. Asset-Specific Filtering

• Asset Selector: Users can choose the crypto asset (e.g., SOL, ETH, BTC) to receive targeted market intelligence and news signals.

• Dynamic Sentiment: The sentiment and news results instantly adjust based on the selected asset.

4. Manual Refresh Option

• Refresh Button: Allows users to pull the latest articles and sentiment manually, ensuring they are always viewing the most up-to-date information.

Design Highlights

• Dark Mode Optimized: The UI features a pitch-black background for reduced eye strain and visual consistency with the TradeMind brand.

• Color-Coded Sentiment: Bullish/Positive and Bearish/Negative sentiments are color-coded for quick, at-a-glance understanding.

• Fully Responsive: Works seamlessly across Web and Desktop versions of TradeMind.

📊 TradeMind Dashboard Overview

Welcome to the TradeMind platform — an AI-powered analytics tool built on Solana, designed to provide traders with a clean and efficient overview of their trading performance.

🖥️ Dashboard Layout

The dashboard consists of the following main sections:

Sidebar Navigation

• Dashboard: Access the main performance overview.

• Analytics: Dive deeper into detailed trading statistics.

• Chat: Interact with AI-driven assistants for trading support.

• AI Insights: Access actionable insights powered by machine learning.

• Services: Explore additional features and integrations.

• Tokenomics: Understand the TradeMind token economy.

• Buy Token: Quick access to purchase TradeMind tokens.

📈 Main Dashboard Sections

1. Market Overview

• Displays overview, market positions, and trading performance at a glance.

• Real-time updates from the last 100 transactions.

• Important notes for users (e.g., calculation issues being addressed).

2. Current P&L (Profit and Loss)

• Current P&L: -4.11 USD (equivalent to -5.03% loss).

• Updated every 1 minute.

• Includes a real-time line chart displaying P&L trend.

3. Activity Feed

• Recent buy and sell transactions are listed with:

  • Token information

  • Amount traded

  • Timestamps

  • Viewable swap details.

4. Profit & Loss Breakdown

• Total P&L: -4.11 USD

• Buy Volume: $81.63

• Sell Volume: $77.52

• Token-wise P&L data:

  • SOL (Wrapped SOL): +$77.52

  • Other tokens like Max, wawa with 100% losses.

• Last Activity for each token is timestamped (e.g., about 22 hours ago).

🔄 Data Update

• Update Data button allows manual refreshing of all statistics and analytics.

• Last update timestamp is displayed next to the button.

🧪 Notes

• Some calculations are still under review, and users may experience minor discrepancies during updates.

• Graphs and token information are visually coded with color schemes (e.g., red for losses, green for gains).

🚀 Trending Tokens Overview

Trending Tokens Dashboard

This section highlights the top trending tokens based on recent performance and trading activity.

🔄 Time Filters

Users can view trending token stats based on:

• 1h

• 4h

• 12h

• 24h

📢 Conclusion

The Analytics Dashboard provides real-time, powerful insights into:

• Token trading volumes

• Market movements

• Holder trends

• Liquidity pools

• Trending assets

It empowers traders to make better, faster decisions on the Solana Blockchain with precision AI analysis.

📁 Assets Provided

• Dashboard screenshots

• Trading activity visuals

• Liquidity pools analysis

• Trending tokens leaderboard

Trade Mind Web3 Integration Guide

Trade Mind is a Web3-native AI Agent platform, designed to bridge the gap between decentralized ecosystems and advanced intelligent agents. This guide provides a comprehensive overview of how to integrate Trade Mind Agents with blockchains, smart contracts, wallets, and decentralized storage.

Trade Mind empowers agents to not only act intelligently — but transact, verify, and interact trustlessly across blockchain networks.

🛠️ Integration Architecture

Trade Mind integrates with the decentralized world through:

⚡ Connecting to Blockchain Networks

Trade Mind provides Web3 connectors out-of-the-box for fast blockchain interaction.

Example: Solana RPC Connection

You can swap to Pump.fun, Raydium, or any Solana protocol by plugging into additional RPC APIs or SDKs.

📜 Smart Contract Interaction

Trade Mind agents can deploy, monitor, and interact with smart contracts automatically.

Example: Interacting with a Solana Smart Contract

Agents are capable of automated DeFi trading, NFT minting, staking, and real-world event triggering!

🔑 Wallet Authentication Workflow

Trade Mind supports wallet-based login and signing for actions:

1. Request Nonce from Trade Mind API

2. User Signs the nonce with their private wallet

3. Verify Signature to authenticate identity securely

Example: Wallet Authentication (Python)

🔒 Private keys stay local. Only signed data is transmitted.

🌐 Decentralized Storage (IPFS / Arweave)

Trade Mind offloads large datasets (e.g., transaction history, analytics reports) to IPFS or Arweave.

Example: Uploading Agent Data to IPFS

Data becomes immutable, decentralized, and verifiable.

🚀 Full Quickstart: Creating a Web3-Enabled Agent

Welcome to the TradeMindAI Framework!

1. Prerequisites

• Node.js v20 or newer → Download Node.js

• Internet connection

2. Installation

3. Running the CLI

• Development Mode:

• Production Mode:

4. Creating a New Agent

At the prompt, type:

You'll define:

• Agent Name

• Personality

• Description

• Model (e.g., gpt-4o, claude-3-opus, deepseek-R1-v3)

• Logo URL (optional)

Example:

5. Listing All Agents

6. Interacting with Your Agent

• Chat in real-time

• Type exit or back to return to menu

7. Other Useful Commands

8. Supported Models

• gpt-4

• gpt-4o

• claude-3.7-sonnet

• claude-3-opus

• mistral-7b-instruct

• llama-3-70b-chat

• llama-3-8b-instruct

• gemini-2.5-pro

• anthropic-claude-3-haiku

• deepseek-R1-v3

9. Troubleshooting

• Ensure Node.js v20+

• For verbose debug:

• Check internet/API keys if facing errors.

10. Contributing & Support

• Contributions welcome!

11. License

MIT License.

🧠 Best Practices for Trade Mind Web3 Development

🎯 Pump Fun Analytics Overview

The Pump.fun Tokens section focuses on projects in the bonding phase before they "graduate" into full tradability.

Key Metrics

📋 Bonding Tokens List

• Tokens listed are labeled Pre-Graduation until they reach 100% bonding.

• Option to toggle between Bonding and Graduated tokens at the top right.

📢 Conclusion

TradeMind's Analytics Dashboard now includes:

• AI-driven trading and portfolio insights.

• Real-time token statistics.

• Deep liquidity analysis.

• Emerging token tracking through Pump Fun analytics.

It provides traders and investors powerful visibility into both mature markets and new opportunities — all powered by the speed and transparency of Solana Blockchain.

📁 Assets Summary

• 📊 Overview Dashboard

• 🔄 Transactions Overview

• 👥 Holders Analytics

• 🌊 Liquidity Analysis

• 🚀 Trending Tokens Leaderboard

• 🎯 Pump Fun Analytics

TradeMind Agent - Specialized AI for Web3 Traders

Overview

The TradeMind Agent is an AI-powered assistant built exclusively to serve the next generation of crypto traders. Unlike generic bots or traditional trading assistants, TradeMind Agent is specialized in low market cap assets and emerging tokens within the Solana ecosystem.

Designed for speed, precision, and Web3-native intelligence, the TradeMind Agent is your edge in a competitive decentralized market.

Key Specializations

1. Low Market Cap Token Expertise

• Detects, analyzes, and surfaces promising low market cap assets on Solana.

• Identifies early-stage opportunities often missed by traditional data aggregators.

• Highlights token metrics such as:

  • Initial liquidity

  • Price volatility

  • Trading volume trends

  • Holder distributions

Trade smarter, faster — with data others can't easily access.

2. Deep Solana Ecosystem Knowledge

• Integrated with Solana RPCs for live on-chain data.

• Monitors bonding markets (e.g., Pump Fun) and DEX activity (e.g., Raydium, Orca, Meteora).

• Provides instant insights on:

  • New token launches

  • Bonding progress percentages

  • Price discovery phases

Whether it's a fresh launch or an emerging blue chip, TradeMind Agent keeps you ahead.

3. Personalized AI-Driven Market Queries

TradeMind Agent can answer questions like:

• "Which Solana tokens are trending with low market cap?"

• "What is the trading volume for [Token_Name] today?"

• "Show me bonding tokens with over 90% progress."

• "Which tokens just listed on decentralized exchanges?"

No more guessing. No more manual research. Just direct, actionable intelligence — instantly.

4. Continuous Learning and Adaptation

• Learns from new market patterns, emerging narratives, and liquidity events.

• Continuously updated to reflect the fastest-changing DeFi segments.

• Built to adapt to cross-chain expansion as TradeMind evolves.

Why Use the TradeMind Agent?

📘 TROLL (TROLL) Token Analytics & Dashboard Guide

Welcome to the comprehensive guide for understanding the performance and analytics of the TROLL token powered by TradeMind on Solana Blockchain.

🗂 Table of Contents

1. Overview Dashboard

2. Transactions Dashboard

3. Holders Analytics

4. Liquidity Overview

🏠 Overview Dashboard

Token Summary

• 24h Buy/Sell Ratio: 1.03 (Bullish)

• 24h Buyer/Seller Ratio: 1.00 (More sellers)

• Total Liquidity: $1.91M

• Fully Diluted Valuation (FDV): $22.13M

Token Info:

• Decimals: 6

• Total Supply: 999.00M

• Liquidity Pools: 25

Security Analysis:

• Security Score: 91/100

• Contract Verified: No

• Creation Date: Unknown

• Risk Level: High

Trading Volume Overview

Visualizes buy vs. sell volume across:

• 5 Minutes

• 1 Hour

• 6 Hours

• 24 Hours

🔄 Transactions Dashboard

Transaction Activity

• Total Buys (24h): 51,605

• Total Sells (24h): 49,998

Unique Trader Activity

• Unique Buyers (24h): 22,851

• Unique Sellers (24h): 22,948

Recent Transactions include details on:

• Time

• Type (Buy/Sell)

• Amount In/Out

• Transaction Links

👥 Holders Analytics

Holder Statistics

• Total Holders: 13.49K

• New Holders (24h): +483 (4% Growth)

Acquisition Methods

• Swaps: 11.82K

• Transfers: 1.08K

• Airdrops: 594

Holder Growth Trends

Visualizes holder growth over:

• 5 Minutes

• 1 Hour

• 6 Hours

• 24 Hours

• 3 Days

• 7 Days

• 30 Days

Holder Categories

• Whales: 189

• Sharks: 157

• Dolphins: 121

• Fish: 172

• Octopus: 2.09K

• Crabs: 2.65K

• Shrimps: 5.48K

🌊 Liquidity Overview

Volume Analysis

• 24h Buy Volume: $10.64M

• 24h Sell Volume: $10.56M

Liquidity & Valuation

• Liquidity/FDV Ratio: 8.63%

• Avg Transaction Value: $208.69

Largest Liquidity Pool:

• TROLL/SOL: $881.49K (45% of total)

Primary Exchange: Meteora DLMM

Price Variation:

• 453.82% across exchanges (arbitrage opportunity)

Liquidity Pools

📢 Conclusion

This guide provides a full breakdown of:

• Token performance

• Transaction activity

• Holder behavior

• Liquidity pools

TROLL is experiencing a bullish trend, with solid liquidity and active trading across multiple exchanges.

Quickstart: Creating an Agent with TradeMindAI Framework

Welcome to the TradeMindAI Framework! This guide walks you through installing the CLI, setting up your environment, and creating your first AI agent.

1. Prerequisites

Before you begin, make sure you have:

• Node.js v20 or newer 👉 Download Node.js

• Internet connection Required to access the TradeMind API.

2. Installation

Clone the Repository

git clone https://github.com/your-org/thetrademind-fw.git
cd thetrademind-fw

Install Dependencies

npm install

Build the Project

npm run build

(Optional) Link the CLI Globally

This allows you to run the CLI from anywhere:

npm link

3. Running the CLI

You can start the CLI in two ways:

Development Mode

npm run dev

Production Mode (after build)

npm run start

You will be greeted with an interactive prompt.

4. Creating a New Agent

At the CLI prompt, type:

create

You will be guided through a series of prompts:

• Agent Name (must be unique)

• Personality (e.g., "Friendly and analytical")

• Description (e.g., "Expert in financial markets and trading strategies")

• Model (choose from the list below)

• Logo URL (optional)

Example:

Agent Name: MarketGuru
Personality: Analytical and Strategic
Description: Expert in DeFi and on-chain market analysis
Model: gpt-4o
Logo URL: (optional)

5. Listing All Agents

To see all your created agents, type:

list

6. Interacting with an Agent

To start a conversation with an agent:

MarketGuru

Type your messages and receive responses in real-time.

• Type exit or back to return to the main menu.

7. Other Useful Commands

• Help:

help

Lists all available commands.

• Quit:

quit

Exits the CLI (or press Ctrl+C).

8. Supported Models

You can choose from a variety of LLMs when creating your agent:

• gpt-4

• gpt-4o

• claude-3.7-sonnet

• claude-3-opus

• mistral-7b-instruct

• llama-3-70b-chat

• llama-3-8b-instruct

• gemini-2.5-pro

• anthropic-claude-3-haiku

• deepseek-R1-v3

9. Troubleshooting

• Ensure your Node.js version is v20 or newer.

• If you encounter issues, try running the CLI with:

npm run dev

for verbose debug output.

• For API or network errors, check your internet connection.

10. Contributing & Support

✨ Contributions are welcome!

11. License

This project is licensed under the MIT License.

MindChain SDK Documentation

The MindChain SDK is a TypeScript library designed to provide developers with a streamlined interface to interact with the TradeMind Agent Network via the MindChain API. It facilitates seamless integration of AI-powered trading intelligence into decentralized applications.​

Getting Started

Installation

To install the SDK, use npm:​

npm install trademind-sdk

Configuration

The SDK requires an API key for authentication:​

import { TradeMindSDK } from 'trademind-sdk';

const sdk = TradeMindSDK.initialize({
  apiKey: 'your_api_key',
  apiUrl: 'https://trademind-api.vercel.app' // Optional: specify a custom API URL
});

Alternatively, set the following environment variables:​

TRADEMIND_API_KEY=your_api_key
TRADEMIND_API_URL=https://trademind-api.vercel.app

Core Concepts

TradeMind Agent Network

An overview of the decentralized network of AI agents that power the TradeMind ecosystem, enabling intelligent trading decisions and market analysis.​

MindChain Protocol

Details about the underlying protocol that facilitates secure and efficient communication between the SDK and the TradeMind Agent Network.​

API Reference

Initialization

TradeMindSDK.initialize(config: {
  apiKey: string;
  apiUrl?: string;
}): TradeMindSDK

Initializes the SDK with the provided configuration.​

Agent Queries

sdk.queryAgent(prompt: string): Promise<AgentResponse>

Sends a prompt to the TradeMind Agent and returns the AI-generated response.​

Token Analysis

sdk.getTokenAnalysis(tokenSymbol: string): Promise<TokenAnalysis>

Retrieves analysis for a specified token, including market trends and AI insights.​

Portfolio Management

sdk.getPortfolio(address: string): Promise<PortfolioData>

Fetches portfolio data for the given wallet address.​

Examples

Basic Agent Query

const response = await sdk.queryAgent('Analyze the current trend of SOL token.');
console.log(response);

Token Analysis

const analysis = await sdk.getTokenAnalysis('SOL');
console.log(analysis);

Portfolio Retrieval

const portfolio = await sdk.getPortfolio('YourWalletAddress');
console.log(portfolio);

Advanced Usage

Custom API Endpoints

Instructions on how to configure the SDK to interact with custom API endpoints, if applicable.​

Error Handling

Guidelines on handling errors and exceptions that may arise during SDK operations.​

Contributing

Information on how to contribute to the SDK's development, report issues, and submit feature requests.​

License

🌐 Vision

To revolutionize the way AI and blockchain converge by providing intelligent frameworks and tools that make building and managing decentralized AI agents simple, efficient, and scalable.

🎯 Mission

To democratize access to powerful AI-driven blockchain technologies by offering a versatile, developer-friendly framework that fosters innovation across decentralized ecosystems.

🚀 Why Trade Mind Framework?

Seamless AI and Blockchain Integration

Trade Mind natively integrates state-of-the-art AI models (OpenAI, Anthropic, Mistral, Llama 3) with the Solana blockchain, allowing agents to interact, transact, and record actions on-chain for full transparency and immutability.

Open-Source and Extensible

As a community-first open-source project, Trade Mind gives developers the freedom to customize, extend, and build upon the core framework — driving continuous, decentralized innovation.

Developer-Centric by Design

Trade Mind offers:

• Easy-to-use CLI tools

• Comprehensive API support

• Modular SDKs

All designed to let developers focus on impact, not infrastructure.

Scalable and Secure

Built atop the ultra-fast Solana blockchain and optionally backed by decentralized storage (IPFS / Arweave), Trade Mind ensures security, scalability, and future-proofing for all applications.

🔥 Key Features

🛠️ What Can You Build with Trade Mind?

• Decentralized AI Agents Create intelligent agents for financial markets, DeFi, gaming, customer service, and more.

• Blockchain Analytics Platforms Develop solutions that fetch, analyze, and visualize real-time blockchain activities.

• Intelligent DeFi Trading Bots Use AI and blockchain data to automate high-frequency trading strategies.

• Custom Decentralized Applications (dApps) Build vertical-specific apps across healthcare, education, finance, entertainment, and supply chain industries.

👥 Who is Trade Mind For?

🌍 Join the Trade Mind Community

Trade Mind is more than just a framework — it's a community of pioneers shaping the future of decentralized intelligence.

• 🤝 Contribute to open-source development

• 💬 Collaborate with AI and blockchain innovators

• 🚀 Be part of building the decentralized future

📬 Contact us anytime at: info@trademind.network

⚡ Get Started Today!

Join Trade Mind and unlock the true power of AI + Blockchain integration — Create. Innovate. Decentralize.

Trade Mind – Detailed Project Overview

Mission Build an open, modular AI‑trading stack that can reason over heterogeneous data (market, on‑chain, news) and act safely on Solana & other venues via the Model Context Protocol (MCP).

1 High‑Level Value Proposition

2 System Architecture

┌──────────────┐      MCP       ┌────────────────┐
│ AI / UX Host │◄──────────────│  MCP Server(s) │
└──────────────┘               │  + adapters    │
    ▲   ▲ ▲                    └────────────────┘
    │   │ │        ┌─────────────────────────────────┐
    │   │ │        │  Local / Remote Data Sources    │
    │   │ └────────│  • Market WS • SQL • Parquet    │
    │   └──────────│  • Solana RPC  • S3 / IPFS      │
    │              └─────────────────────────────────┘
    │                    ▼         ▲
    │                 Strategy  Execution
    ▼                                         
┌───────────────┐   … dotted arrows = MCP frames …
│  Reflection   │
└───────────────┘

The diagram matches the neon purple→green gradient of your brand style (see delivered asset). Key tiers:

1. MCP Client (in‑agent) – packages the model prompt, tool calls & contextual memory into a typed frame.

2. MCP Server – validates frame, resolves data adapters, returns structured payload.

3. Adapters – market‑data, on‑chain, file‑system, news, custom DB.

4. Cognitive Loop – Planning → Strategy → Risk → Execution → Reflection.

3 Model Context Protocol (MCP)

A thin, language‑agnostic framing of context → request → response with JSON schemas.

3.1 Minimal Frame Schema (YAML)

Frame:
  id: uuid
  agent:
    name: string
    version: semver
  timestamp: iso8601
  context:
    goal: string           # e.g. "Generate order proposals"
    history: array<object> # event log excerpts
  request:
    type: enum[DATA,EXEC]
    body: any              # adapter‑specific
  signature: string        # Ed25519 (optional)

3.2 MCP Server – TypeScript/Node Example

// src/server.ts
import fastify from "fastify";
import Ajv from "ajv";
import { frameSchema } from "./schemas";
import { routeFrame } from "./router";

const app = fastify();
const ajv = new Ajv();
const validate = ajv.compile(frameSchema);

app.post("/frame", async (req, res) => {
  const frame = req.body as any;
  if (!validate(frame)) {
    return res.code(400).send({ errors: validate.errors });
  }
  const result = await routeFrame(frame);
  return res.send(result);
});

app.listen({ port: 8080 }).then(() =>
  console.log("🚀  MCP Server running @ http://localhost:8080")
);

3.3 Python MCP Client Helper

# trademind/mcp.py
import httpx, uuid, datetime as dt

SERVER = "http://localhost:8080/frame"

def send_frame(goal: str, req_type: str, body: dict):
    frame = {
        "id": str(uuid.uuid4()),
        "agent": {"name": "trade-mind", "version": "0.1.0"},
        "timestamp": dt.datetime.utcnow().isoformat(),
        "context": {"goal": goal, "history": []},
        "request": {"type": req_type, "body": body},
    }
    r = httpx.post(SERVER, json=frame, timeout=15)
    r.raise_for_status()
    return r.json()

4 Data Integration Layer

4.1 Market Data (WebSocket)

# adapters/market_ws.py
import asyncio, websockets, json

ENDPOINT = "wss://stream.binance.com:9443/ws/btcusdt@kline_1m"
async def stream():
    async with websockets.connect(ENDPOINT) as ws:
        while msg := await ws.recv():
            data = json.loads(msg)
            yield {
              "t": data["E"],
              "open": float(data["k"]["o"]),
              "close": float(data["k"]["c"]),
            }

4.2 On‑Chain Signals (Solana web3.js)

import { Connection, PublicKey } from "@solana/web3.js";
const conn = new Connection("https://api.mainnet-beta.solana.com");

export async function getAccountBalance(addr: string) {
  const lamports = await conn.getBalance(new PublicKey(addr));
  return lamports / 1e9; // SOL
}

4.3 Telegram / X News Scraper (Python)

from telethon import TelegramClient
from datetime import datetime, timedelta

client = TelegramClient("session", api_id, api_hash)
news = []
async def fetch(channel="Cointelegraph"):
    async for msg in client.iter_messages(channel, limit=100):
        if datetime.utcnow() - msg.date < timedelta(hours=12):
            news.append({"text": msg.text, "ts": msg.date})

5 Context Orchestrator

Plans multi‑step agent chains and attaches the right adapter calls.

# orchestrator.py
from mcp import send_frame

def build_context(goal):
    history = retrieve_memory(goal)
    return {"goal": goal, "history": history}

def orchestrate(goal, steps):
    ctx = build_context(goal)
    for step in steps:
        response = send_frame(goal, step["type"], step["body"])
        ctx["history"].append(response)
    return ctx

6 Strategy Engine – Example Momentum Strategy

import pandas as pd

def momentum(df: pd.DataFrame, lookback=20):
    df["ret"] = df.close.pct_change()
    df["signal"] = df.ret.rolling(lookback).mean()
    return df["signal"].iloc[-1]

7 Risk Control Module

MAX_DRAWDOWN = 0.12
MAX_LEVERAGE = 3.0

def check_risk(portfolio, proposed):
    if portfolio.drawdown > MAX_DRAWDOWN:
        return False, "DD too high"
    if portfolio.leverage + proposed.leverage > MAX_LEVERAGE:
        return False, "Leverage limit"
    return True, "OK"

8 Execution Layer – Place Order on Serum (TypeScript)

import { Market, OpenOrders } from "@project-serum/serum";
async function placeOrder(marketPk, payer, side, price, size) {
  const market = await Market.load(conn, marketPk, {}, programID);
  const tx = await market.makePlaceOrderTransaction(conn, {
    owner: payer.publicKey,
    payer: payer.publicKey,
    side,
    price,
    size,
    orderType: "limit",
  });
  const sig = await conn.sendTransaction(tx, [payer]);
  await conn.confirmTransaction(sig);
  return sig;
}

9 Reflection & Learning Loop

# reflection.py
from sklearn.linear_model import LinearRegression

def log_episode(trade, outcome):
    db.insert("episodes", {**trade, **outcome})

def retrain():
    df = db.read("episodes")
    X = df[["signal", "volatility"]]
    y = df["pnl"]
    model = LinearRegression().fit(X, y)
    model.save("models/pnl_reg.pkl")

10 Autonomous Research Pipeline

from langchain.chains import LLMChain
from langchain.llms import OpenAI
from langchain.prompts import PromptTemplate

TEMPLATE = "You are a crypto researcher… {question}"

llm = OpenAI(temperature=0)
prompt = PromptTemplate.from_template(TEMPLATE)
chain = LLMChain(llm=llm, prompt=prompt)

q = "What are the catalysts for SOL in the next 3 months?"
raw_answer = chain.run(q)
print(raw_answer)

11 Deployment Topologies

• Single‑host Lab – Docker‑Compose with mcp-server, orchestrator, strategy, db.

• Hybrid Cloud – MCP servers next to data sources; stateless client hosted in Lambda / Cloud Run.

• Fully Decentralised – MCP frame relayed through Solana program for on‑chain audit trail.

12 Extensibility Roadmap

1. Plug‑in Solana program registry – publish strategy hashes + proofs.

2. zk‑Rollup risk attestations – provide cryptographic guarantees.

3. Multi‑model cockpit – ensemble GPT‑4o + local Llama 3.

4. Reinforcement‑learning policy gradient executor.

TradeMind Tokenomics ($TMIND)

Introduction

$TMIND is the utility and governance token of the TradeMind ecosystem. Designed with a transparent and sustainable distribution model, $TMIND empowers decentralized governance, incentivizes platform security, and fuels growth initiatives across the network.

Token Overview

Allocation Breakdown

Token Allocation Diagram

Vesting & Smart Contracts

Vesting Schedule

✅ All vesting is enforced by smart contracts — no manual unlocks possible.

Key Benefits of Holding $TMIND

• Governance Rights Vote on platform upgrades, new integrations, treasury allocations.

• Staking Rewards Earn yields by staking $TMIND to secure platform services and liquidity layers.

• Trading Fee Discounts Reduced platform fees for active token holders.

• Premium Features Access Unlock access to advanced AI trading modules, custom analytics, and liquidity discovery engines.

Transparency Commitment

TradeMind is committed to:

• No private pre-sales.

• No hidden unlocks.

• Fully decentralized ownership.

Every token movement and vesting unlock is visible on-chain.

Token Allocation Diagram

Trade Mind is committed to protecting your privacy. This Privacy Policy explains how we collect, use, disclose, and safeguard your information when you interact with the Trade Mind Framework, its APIs, or related services. Please read this policy carefully to understand our practices regarding your data.

1. Information We Collect

We collect information to provide and continually improve our services. The types of information we collect include:

1.1 Information You Provide

• Account Information: Such as your email address, API keys, and configuration data used within the framework.

• Interaction Data: Messages, queries, commands, and any interactions you send to agents or API endpoints.

1.2 Automatically Collected Information

• Usage Data: Details about how you access and use Trade Mind, including timestamps, command history, and interaction logs.

• Device Information: Metadata such as IP addresses, browser types, and operating system details.

• Blockchain Data: Public blockchain data related to tokens, transactions, or agents you deploy or interact with.

1.3 Third-Party APIs

Trade Mind integrates third-party APIs (e.g., OpenAI, Bitquery, Firebase). These external services may collect and process data according to their respective privacy policies.

2. How We Use Your Information

We use collected information for the following purposes:

• To Provide Services: Facilitate agent interactions, blockchain queries, smart contract deployments, and analytics.

• To Improve the Framework: Analyze usage patterns and feedback to enhance functionality and user experience.

• To Ensure Security: Detect and prevent fraud, abuse, or unauthorized access.

• For Communication: Respond to your inquiries and provide important updates about Trade Mind services.

3. How We Share Your Information

We do not sell, trade, or rent your personal information. We may share data under the following circumstances:

• Service Providers: With trusted third-party services to enable platform functionality.

• Legal Obligations: To comply with applicable laws or respond to valid legal requests (e.g., subpoenas, court orders).

• Business Transfers: In the event of a merger, acquisition, or sale of Trade Mind assets.

4. Data Storage and Security

• Data Storage: Agent metadata and interaction logs are securely stored via Firebase and verified through the Solana blockchain. Blockchain data is immutable and publicly accessible.

• Data Security: We implement appropriate technical and organizational measures to protect your data against unauthorized access, alteration, or disclosure.

• Retention: We retain data for operational purposes or as required by applicable law.

5. Your Rights and Choices

You have the following rights regarding your personal data:

• Access and Update: Request access to or correction of your personal data.

• Data Deletion: Request deletion of non-blockchain data stored in Firebase. (Note: Blockchain records are immutable and cannot be altered.)

• Opt-Out: Revoke consent by discontinuing use of the framework.

To exercise your rights, contact us at info@trademind.network.

6. Third-Party Services

Trade Mind uses third-party services like OpenAI, Bitquery, and Firebase. Each provider maintains its own privacy practices. We encourage you to review their privacy policies to understand how your data may be handled externally.

7. Cookies and Tracking Technologies

Trade Mind does not directly use cookies or tracking technologies. However, third-party services integrated into the platform may do so. Please refer to their individual privacy policies for more details.

8. Children's Privacy

Trade Mind is not intended for individuals under the age of 18. We do not knowingly collect data from children. If you believe a child has provided us with personal information, please contact us immediately.

9. Updates to This Privacy Policy

We may update this Privacy Policy from time to time. Changes become effective immediately upon posting. Continued use of Trade Mind services constitutes acceptance of the revised policy.

10. Contact Us

If you have any questions or concerns about this Privacy Policy, please contact us:

• 📧 Email: info@trademind.network

🙏 Thank You

Thank you for trusting Trade Mind. We are dedicated to safeguarding your privacy while providing innovative tools at the intersection of AI and decentralized technologies.

2025 Roadmap

Q3 2025

🧠 Advanced AI Models (In Development)

Enhanced Predictive Analytics and Pattern Recognition

• Implementing sophisticated AI models for:

  • Deeper market insights

  • More accurate trading predictions

  • Personalized trading recommendations

• Focused on advanced pattern recognition algorithms to surface hidden market opportunities.

Progress: 60% Complete

🔗 Multi-Wallet Support (Planned)

Connect and Manage Multiple Wallets

• Seamless connection across multiple wallets.

• Aggregated portfolio view across Solana wallets.

• Unlocks cross-wallet analytics and asset tracking.

Progress: 30% Complete

Q4 2025

⚙️ DeFi Automation (Planned)

Automated Trading Strategies and DeFi Integrations

• Create, test, and deploy trading strategies.

• Integration with major DeFi protocols on Solana.

• Support for:

  • Automated yield farming

  • Automated liquidity provision

  • Strategy-driven DeFi asset management

Progress: 15% Complete

📱 Mobile Application (Future Vision)

Native Mobile Apps for iOS and Android

• Full TradeMind experience available via mobile:

  • Real-time trade alerts

  • Liquidity notifications

  • AI-driven trading insights

• Designed for on-the-go portfolio monitoring and management.

Progress: 0% Complete

2026 Roadmap

Q1 2026

🌐 Cross-Chain Analytics (Roadmap)

Support for Multiple Blockchain Ecosystems

• Expand beyond Solana:

  • Multi-chain portfolio tracking

  • Liquidity insights across ecosystems

• One interface to manage assets across multiple blockchain networks.

Progress: 5% Complete

Summary of Vision

Commitment to Innovation

TradeMind is committed to continuous development, user-driven features, and building modular intelligence layers that evolve alongside the decentralized economy.

Every milestone on our roadmap represents a concrete step toward creating the most powerful, composable, and AI-enhanced trading intelligence network in Web3.

The future is dynamic, intelligent, and decentralized. The future is TradeMind.

📚 Trade Mind API Documentation

Overview

Trade Mind API is a powerful set of RESTful interfaces that allow developers to interact with the Trade Mind platform programmatically. You can create and manage agents, models, files, tools, prompts, categories, and more.

Base URL

All API requests use the following base URL:

Authentication

Trade Mind API uses API Token Authentication.

Obtaining an API Token

You can get your API Token via:

• API Request:

Using the API Token

Include your token in the HTTP headers for all API calls:

API Token Format

API Tokens are in the format:

Resetting an API Token

To reset a compromised token:

Note: Resetting will invalidate your old token.

✨ Open Dialogue API

Trade Mind offers a simple dialogue API for real-time agent interaction.

Endpoint

Authentication

Send your API Token in the X-API-Token header.

Request Parameters

Example Usage

Curl Example

Python Example

Response Format

The response is Server-Sent Events (SSE):

• event: status – Status updates

• event: message – Actual chat message content

Example:

🔥 API Routes

Authentication

Agents

Open Dialogue

Models

Files

Tools

Prompts

Categories

MCP Server Management

🛡️ Error Handling

All API responses follow a unified format:

Common Error Codes

📈 Rate Limits

Exceeding limits returns HTTP 429 status.

🚀 Integration Examples

Python

JavaScript

Trade Mind API empowers developers to build, manage, and scale intelligent Web3 agents with secure, verifiable infrastructure on Solana and beyond.