generating-trading-signals

Q: How do I install generating-trading-signals?

Run npx skills add https://github.com/jeremylongshore/tons-of-skills-marketplace --skill generating-trading-signals in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/generating-trading-signals/ (personal) or .claude/skills/generating-trading-signals/ (project).

by jeremylongshoreBusiness & Finance

Generate trading signals using technical indicators (RSI, MACD, Bollinger Bands, etc.). Combines multiple indicators into composite signals with confidence scores. Use when analyzing assets for trading opportunities or checking technical indicators. Trigger with phrases like "get trading signals", "check indicators", "analyze for entry", "scan for opportunities", "generate buy/sell signals", or "technical analysis".

Installs: 70
Last 24h: —
Trending rank: —
Security: Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/jeremylongshore/tons-of-skills-marketplace --skill generating-trading-signals

01
Install
Run the command in your project. The CLI asks which agents to install for.
02
Describe the task
Ask your agent for something this skill covers. It loads generating-trading-signals automatically when relevant.
03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Generating Trading Signals

Overview

Multi-indicator signal generation system that analyzes price action using 7 technical indicators and produces composite BUY/SELL signals with confidence scores and risk management levels.

Indicators: RSI, MACD, Bollinger Bands, Trend (SMA 20/50/200), Volume, Stochastic Oscillator, ADX.

Prerequisites

Install required dependencies:

set -euo pipefail
pip install yfinance pandas numpy

Optional for visualization: pip install matplotlib

Instructions

Quick signal scan across multiple assets:
```
python ${CLAUDE_SKILL_DIR}/scripts/scanner.py --watchlist crypto_top10 --period 6m
```
Output shows signal type (STRONG_BUY/BUY/NEUTRAL/SELL/STRONG_SELL) and confidence per asset.
Detailed signal analysis for a specific symbol:
```
python ${CLAUDE_SKILL_DIR}/scripts/scanner.py --symbols BTC-USD --detail
```
Shows each indicator's individual signal, value, and reasoning.

Filter and rank the best opportunities:

# Only buy signals with 70%+ confidence
python ${CLAUDE_SKILL_DIR}/scripts/scanner.py --filter buy --min-confidence 70 --rank confidence

# Save results to JSON
python ${CLAUDE_SKILL_DIR}/scripts/scanner.py --output signals.json

Use predefined watchlists:

python ${CLAUDE_SKILL_DIR}/scripts/scanner.py --list-watchlists
python ${CLAUDE_SKILL_DIR}/scripts/scanner.py --watchlist crypto_defi

Available: crypto_top10, crypto_defi, crypto_layer2, stocks_tech, etfs_major

Output

The scanner produces a summary table with symbol, signal type, confidence %, price, and stop loss for each asset scanned. Detailed mode adds per-indicator breakdowns with risk management levels (stop loss, take profit, risk/reward ratio).

Signal types: STRONG_BUY (+2), BUY (+1), NEUTRAL (0), SELL (-1), STRONG_SELL (-2)

Confidence ranges: 70-100% high conviction | 50-70% moderate | 30-50% weak | 0-30% avoid

See ${CLAUDE_SKILL_DIR}/references/implementation.md for full output format examples and signal type tables.

Error Handling

Error	Cause	Fix
No data for symbol	Invalid ticker or delisted	Verify symbol exists on Yahoo Finance
Insufficient data	Period too short for indicators	Use `--period 6m` minimum
Rate limit exceeded	Too many rapid API calls	Add delay between scans

See ${CLAUDE_SKILL_DIR}/references/errors.md for comprehensive error handling.

Examples

Morning crypto scan - Check all top-10 crypto assets for entry opportunities:

python ${CLAUDE_SKILL_DIR}/scripts/scanner.py --watchlist crypto_top10 --period 6m

Deep dive on Bitcoin - Full indicator breakdown with risk management levels:

python ${CLAUDE_SKILL_DIR}/scripts/scanner.py --symbols BTC-USD --detail

Find strongest DeFi buy signals - Filter and rank by confidence:

python ${CLAUDE_SKILL_DIR}/scripts/scanner.py --watchlist crypto_defi --filter buy --rank confidence

Export results - Save to JSON for automated pipeline or further analysis:

python ${CLAUDE_SKILL_DIR}/scripts/scanner.py --watchlist crypto_top10 --output signals.json

Resources

yfinance for price data
pandas/numpy for calculations
Compatible with trading-strategy-backtester plugin
${CLAUDE_SKILL_DIR}/references/implementation.md - Output formats, configuration, backtester integration, file reference

FAQ

What does the generating-trading-signals skill do?

How do I install generating-trading-signals?

Run npx skills add https://github.com/jeremylongshore/tons-of-skills-marketplace --skill generating-trading-signals in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/generating-trading-signals/ (personal) or .claude/skills/generating-trading-signals/ (project).

Which AI agents can use generating-trading-signals?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is generating-trading-signals safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains generating-trading-signals?

It is published by jeremylongshore in jeremylongshore/tons-of-skills-marketplace. It has 70 recorded installs.