Clypt: The No-Code AI Crypto Trading Strategy Builder
Democratizing algorithmic trading through AI-powered strategy creation
Abstract
Clypt is a no-code AI-driven platform that empowers users to transform trading ideas into executable crypto strategies. Unlike traditional automated trading systems, Clypt does not execute trades, hold user funds, or manage assets. Instead, it serves as a secure, interoperable layer that connects users' exchange accounts to AI-powered strategy generation, backtesting, and deployment modules.
Through natural-language interaction, Clypt's AI agent converts user prompts into quantifiable trading logic, validates them via a proprietary backtesting engine, and enables seamless deployment to CEX (Binance, Coinbase, OKX) or DEX (AsterDEX) exchanges through user-provided API or wallet connections.
1. Introduction
1.1 The Problem
Algorithmic and quantitative trading remains inaccessible to most traders due to its complexity, reliance on coding expertise, and the fragmented nature of exchange APIs. Retail users often depend on opaque third-party bots or manual strategies that lack explainability, adaptability, and transparency.
1.2 The Solution
Clypt democratizes algorithmic trading through a no-code, AI-native interface. It allows anyone to describe a trading idea in plain language ("Buy when RSI < 30 and MACD crosses bullish") and converts it into a fully functional strategy with performance metrics, risk evaluation, and deployable logic.
By focusing on strategy creation and validation rather than execution or custody, Clypt operates as a neutral technology layer — similar to how TradingView provides charting and strategy visualization without trade execution.
2. Architecture Overview
Clypt's architecture is composed of five primary layers, forming the foundation for the Prompt → Prove → Deploy workflow.
Clypt never stores or transmits user funds. All trades execute exclusively on the user's exchange account.
3. System Flow "Prompt. Prove. Deploy."
Components
4. Core Modules
| Module | Function | Description |
|---|---|---|
| AI Agent (AA) | Strategy Interpreter | Transforms natural language into structured quant logic |
| Trading Engine (TE) | Simulation Layer | Executes backtests, optimizations, and data feeds |
| Exchange Adapter (EA) | Connectivity | Integrates with CEXs and DEXs via user-provided API |
| Marketplace (MP) | Strategy Exchange | Users publish and monetize successful strategies |
| Performance Analytics (PA) | Evaluation | Provides visual and statistical analysis of strategy outputs |
5. Marketplace Economy
5.1 Overview
The Clypt Marketplace allows creators to list their strategies, offering other users access through subscription or one-time licensing.
5.2 Future Token Ecosystem
Clypt will transition from fiat-based transactions to a token-powered marketplace, where strategies are tokenized as NFTs.
This ensures true IP ownership through blockchain-based smart contracts, allowing creators to maintain full control and provenance of their strategies outside Clypt's centralized database.
6. Security & Compliance
Clypt follows strict security design principles:
7. Business Model
Clypt's ecosystem operates under three main revenue models:
| Model | Description |
|---|---|
| Subscription | Monthly/annual access to AI strategy builder and backtesting tools. |
| Marketplace Commission | Fee on successful strategy sales or licenses between users. |
| Exchange Referral | Reduced subscription fees for users who connect through partner links; Clypt receives referral rebates from exchanges. |
8. Roadmap (2025–2026)
| Quarter | Milestone |
|---|---|
| Oct. 2025 | Global Launch of Clypt Platform |
| Nov. 2025 | Marketplace Beta |
| Dec. 2025 | Marketplace with Rank Ecosystem & Basic Wallet Tracker |
| Q1 2026 | Clypt Trading Engine V2 & Advanced Wallet Tracker |
| Q2 2026 | Expansion to On-chain Strategy Tokenization (Clypt NFT) |
8.1 Marketplace Evolution
Phase 1: USD-Based Marketplace (Nov. 2025)
Phase 2: Token Migration & NFT-Based Ownership (Q2 2026)
8.2 Clypt Trading Engine V2 - Institutional Grade Algorithmic Trading
Clypt Trading Engine v2 enables users to build alpha-factor based institutional-grade strategies without coding expertise.
Key Features
Use Cases (e.g.)
8.3 Wallet Tracker
The Basic Wallet Tracker allows users to identify and replicate high-performing on-chain traders.
Core Functionality
Advanced Wallet Tracker transforms individual wallet behaviors into composable trading signals.
Key Capabilities
Example Use Cases
9. Risk Disclosure
Cryptocurrency trading involves high volatility and potential loss of principal.
Clypt provides tools and analytics only, not financial advice or brokerage services. Users retain full responsibility for their trades and strategies executed through their linked exchange accounts.
10. Privacy Policy (Summary)
Clypt respects user privacy and data protection:
Full policy compliant with GDPR, CCPA, and U.S. Privacy Shield Framework.
11. Conclusion
Clypt bridges human intuition and algorithmic precision.
By empowering users to design, validate, and deploy AI-based trading logic without coding or custodial risk, Clypt forms the foundation of a new era in crypto strategy development — one defined by accessibility, transparency, and automation.