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Crypto Trading Bot Playbook
by
Katrina-jpg
· GitHub ↗
· v1.0.0
1176
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3
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Install in OpenClaw
/install crypto-trading-bot-playbook
Description
Guide to building, deploying, and selling automated crypto trading bots using Python, APIs, and proven strategies for consistent profits.
README (SKILL.md)
Crypto Trading Bot Development Playbook
Overview
Learn how to build and sell crypto trading bots for consistent profits.
Chapter 1: Types of Trading Bots
1.1 Signal Bots
- Receive TradingView signals
- Execute trades automatically
- Connect to exchanges via API
1.2 Grid Trading
- Buy low, sell high automatically
- Profit from volatility
- Set range and grid size
1.3 Arbitrage Bots
- Exploit price differences between exchanges
- Cross-exchange arbitrage
- Triangular arbitrage
1.4 Portfolio Rebalancing
- Maintain target allocation
- Auto-rebalance on intervals
- Dollar-cost averaging (DCA)
Chapter 2: Technical Setup
Required Skills
- Python programming
- API integration (Binance, Bybit, OKX)
- Database management
- Cloud deployment
Tech Stack
- Python + CCXT library
- PostgreSQL/MySQL
- AWS/DigitalOcean
- Telegram for notifications
Chapter 3: Development Steps
- Design your strategy
- Code the bot
- Backtest on historical data
- Paper trade for 1 month
- Deploy to production
- Monitor and optimize
Chapter 4: Pricing Your Bot
| Type | Price |
|---|---|
| Basic Signal Bot | $100-300 |
| Grid Trading Bot | $300-800 |
| Advanced Strategy | $1,000-3,000 |
| Monthly Maintenance | $100-300/mo |
Chapter 5: Marketing
- Telegram groups
- Crypto Twitter
- YouTube tutorials
- Reddit r/cryptocurrency
Risk Warning
Trading involves risk. Always test thoroughly before using real money.
© 2026 Crypto Bot Playbook
Usage Guidance
This is a high-level how-to guide (no code, no installs). That makes it coherent but also incomplete: if you follow it to build an actual trading bot you'll need to implement code that uses exchange APIs and will therefore require and store API keys and handle real-money risk. Before deploying or selling any bot, get independent code/security review, use paper trading and strong secret storage for API keys, restrict exchange API permissions (withdrawals off where possible), implement rate-limiting and monitoring, and be aware of legal/regulatory obligations in your jurisdiction. Also verify the reputation of the playbook source before relying on its advice or distributing software built from it.
Capability Analysis
Type: OpenClaw Skill
Name: crypto-trading-bot-playbook
Version: 1.0.0
The skill bundle contains only metadata and a markdown file (`SKILL.md`) which serves as an informational playbook for developing crypto trading bots. There is no executable code, no instructions for the AI agent to perform actions, and no evidence of prompt injection attempts, data exfiltration, malicious execution, or other harmful behaviors. All content is purely descriptive and aligns with the stated purpose.
Capability Assessment
Purpose & Capability
Name/description claim a guide for building/deploying/selling bots; SKILL.md contains high-level chapters on bot types, tech stack (CCXT, Python, DBs, cloud), development, pricing and marketing. There are no unrelated env vars, binaries, or install steps requested, so the requested footprint matches the stated purpose.
Instruction Scope
SKILL.md is purely advisory and contains no runtime commands, file paths, or instructions to read system files or credentials. It recommends practices like backtesting, paper trading, and cloud deployment but does not instruct the agent to access secrets or external endpoints beyond general recommendations.
Install Mechanism
No install spec and no code files are present. Because this is instruction-only, nothing will be written to disk or fetched at install time — lowest risk for installation behavior.
Credentials
The skill declares no required environment variables, no primary credential, and no config paths. For a playbook (not an active trading tool) this is proportionate. Note: actual trading implementations would need exchange API keys, but the SKILL.md does not request them.
Persistence & Privilege
always is false and there is no mechanism for the skill to persist or modify other skills or system-wide settings. The skill does not request elevated or permanent privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install crypto-trading-bot-playbook - After installation, invoke the skill by name or use
/crypto-trading-bot-playbook - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of the Crypto Trading Bot Development Playbook.
- Covers main types of trading bots: signal, grid, arbitrage, and portfolio rebalancing.
- Outlines required technical skills and recommended tech stack.
- Provides a step-by-step development workflow from strategy to deployment.
- Includes pricing guidelines and marketing tips for selling bots.
- Adds a risk warning to encourage safe trading practices.
Metadata
Frequently Asked Questions
What is Crypto Trading Bot Playbook?
Guide to building, deploying, and selling automated crypto trading bots using Python, APIs, and proven strategies for consistent profits. It is an AI Agent Skill for Claude Code / OpenClaw, with 1176 downloads so far.
How do I install Crypto Trading Bot Playbook?
Run "/install crypto-trading-bot-playbook" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Crypto Trading Bot Playbook free?
Yes, Crypto Trading Bot Playbook is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Crypto Trading Bot Playbook support?
Crypto Trading Bot Playbook is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Crypto Trading Bot Playbook?
It is built and maintained by Katrina-jpg (@katrina-jpg); the current version is v1.0.0.
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