← Back to Skills Marketplace
Lse Trading Agent
by
Ankit Aglawe
· GitHub ↗
· v0.1.1
312
Downloads
0
Stars
0
Active Installs
2
Versions
Install in OpenClaw
/install openclaw-lse-trading-agent
Description
FTSE 350 trading analysis agent. Screens LSE stocks using technical indicators (Bollinger Bands, RSI, MACD, EMA crossovers, ATR, VWAP, OBV), fetches news for...
Usage Guidance
This skill appears to do what it claims: run included Python scripts to fetch Yahoo Finance data, compute indicators, assess news headlines, backtest strategies, and maintain a local portfolio file. Before installing: (1) confirm you trust the GitHub source and the brew/npm packages used to install 'uv'; (2) ensure you have a Python environment with the required packages (pandas, pandas_ta, yfinance, numpy) since the install spec does not provision them; (3) be aware the scripts fetch data from Yahoo Finance and will write a local data/portfolio.json file (paper-trading storage); (4) review sentiment.py if you need assurance headlines are not forwarded to third-party endpoints beyond Yahoo. If you plan to act on real trades, independently audit the risk/position-sizing logic and treat recommendations as informational rather than trade execution authority.
Capability Analysis
Type: OpenClaw Skill
Name: openclaw-lse-trading-agent
Version: 0.1.1
The skill bundle is a legitimate trading analysis tool for the London Stock Exchange (FTSE 350). It uses standard financial libraries like yfinance and pandas_ta to fetch market data and compute technical indicators. The scripts (e.g., indicators.py, screener.py, and backtest.py) perform expected mathematical operations, and the portfolio management logic in portfolio.py is restricted to a local JSON file. There is no evidence of data exfiltration, unauthorized network calls, or malicious prompt injection in SKILL.md.
Capability Assessment
Purpose & Capability
Name/description align with the included Python scripts and the single required binary (uv) used to run them; required binaries and files (scripts for indicators, screener, backtest, sentiment, portfolio, risk) are appropriate for a trading analysis agent.
Instruction Scope
SKILL.md instructs the agent only to run the included scripts, fetch price/news via yfinance/Yahoo Finance, and read/write a local portfolio file (data/portfolio.json). There are no instructions to read unrelated system files, environment secrets, or to transmit data to unexpected external endpoints.
Install Mechanism
Install spec provides two reasonable ways to obtain the 'uv' runtime (brew formula 'uv' or npm package '@anthropic-ai/uv'). This is expected for running 'uv run' commands, but the skill does not declare or install Python dependencies (pandas, pandas_ta, yfinance, numpy) required by the included scripts — users must ensure a compatible Python environment. The dual install options are not a security red flag but are an operational note.
Credentials
No environment variables, credentials, or config paths are requested. Network access to Yahoo Finance (via yfinance) and use of public package managers are proportionate and consistent with the skill's purpose.
Persistence & Privilege
The skill is not marked always:true and does not request elevated or cross-skill privileges. It writes only to its own data directory (data/portfolio.json), which is expected for a portfolio tracker.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install openclaw-lse-trading-agent - After installation, invoke the skill by name or use
/openclaw-lse-trading-agent - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.1
Version 0.1.1 — Major update with full script implementation and core logic improvements.
- Added core scripts for backtesting, config, FTSE 350 ticker sourcing, technical indicators, portfolio tracking, risk management, screener, and sentiment headline fetching.
- Separated logic into modular Python scripts for each pipeline stage (screening, indicators, sentiment, backtest, risk, portfolio).
- Revised agent workflow: sentiment is now assessed from raw headlines (not from pre-labeled FinBERT output).
- Expanded and restructured documentation for all new scripts, command usage, and output expectations.
- Updated and clarified risk management, portfolio tracking, and decision-making procedures.
v0.1.0
Version 1.2.0 summary: Major update with detailed documentation, new commands, and robust trading logic.
- Added comprehensive SKILL.md with architecture, workflow, and risk rules.
- Introduced six commands: /lse-scan, /lse-analyze, /lse-sentiment, /lse-backtest, /lse-portfolio, /lse-risk.
- Detailed technical, sentiment, and risk analysis process using indicators and FinBERT.
- Defined composite scoring model, trade decision logic, and strict risk management.
- Provided usage examples and clear guidelines for all scripts and commands.
- Emphasized clarity and directness in analysis and recommendations.
Metadata
Frequently Asked Questions
What is Lse Trading Agent?
FTSE 350 trading analysis agent. Screens LSE stocks using technical indicators (Bollinger Bands, RSI, MACD, EMA crossovers, ATR, VWAP, OBV), fetches news for... It is an AI Agent Skill for Claude Code / OpenClaw, with 312 downloads so far.
How do I install Lse Trading Agent?
Run "/install openclaw-lse-trading-agent" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Lse Trading Agent free?
Yes, Lse Trading Agent is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Lse Trading Agent support?
Lse Trading Agent is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Lse Trading Agent?
It is built and maintained by Ankit Aglawe (@ankit-aglawe); the current version is v0.1.1.
More Skills