Kaiyn Trading Bot
Trading signal execution workflow for crypto communities.
Community Context
Kaiyn Trading Bot came from a real operating problem inside Kaiyn Capital, a crypto trading community that I founded and have operated for around three years.
In a Telegram-based trading community, market commentary, trading signals, chart updates, and risk discussions often move quickly. That speed is useful, but it also creates friction: users need to interpret signals, manage risk, confirm order details, and avoid execution mistakes under time pressure.
This project was built to make that workflow more structured. Instead of treating trading signals as plain text messages, the bot turns them into a confirmation-first execution process with validation, fixed-risk sizing, and clearer audit records.
Live Demo
Why It Matters
This project shows how trading-community workflows can be converted into safer, auditable, confirmation-first execution systems.
Context
Crypto trading communities often distribute signals through Telegram, but manual execution introduces friction, inconsistent sizing, repeated actions, and unclear confirmation flow.
What I Built
I built a structured execution workflow that connects Telegram-based signal delivery with confirmation-first trading operations, exchange-rule validation, risk sizing, and backend audit records.
Workflow
- ▹Signal parsing
- ▹User confirmation
- ▹Fixed-risk sizing
- ▹Exchange contract validation
- ▹Order preparation
- ▹Execution
- ▹Audit trail
Key Highlights
- ▹Transforms Telegram trading signals into a structured execution workflow.
- ▹Uses confirmation-first execution and fixed 1R risk sizing.
- ▹Includes encrypted API credential storage, audit trails, backups, and CI checks.
- ▹Designed as a production-style workflow rather than a profit-guaranteeing trading bot.
What This Demonstrates
- ▹Translating community workflow problems into software systems
- ▹Designing risk-aware trading infrastructure
- ▹Building backend workflows with state, validation, and auditability
- ▹Thinking beyond scripts toward production-style operations
Representative Artifacts
Signal Workflow
Parsing unstructured Telegram messages into strict, validated JSON payloads.
"action": "LONG",
"risk_level": "1R",
"timestamp": 1709283741
Confirmation-First Flow
Interactive Telegram UI requiring explicit user approval before execution.
Execute Trade?
Backend Audit Pipeline
Immutable state tracking in PostgreSQL ensuring no duplicated orders.
Tech Stack
This project is presented as an engineering and workflow-design portfolio project. It does not represent financial advice or a claim of trading profitability.