How do I install the Generating Trading Signals skill?

Run npx skillmds@latest add gabrielmoreira/generating-trading-signals in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Generating Trading Signals safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Generating Trading Signals?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Generating Trading Signals free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under MIT.

Who published Generating Trading Signals?

gabrielmoreira (@gabrielmoreira) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Generating Trading Signals by gabrielmoreira

Name: Generating Trading Signals
Rating: 4.2 (5 reviews)
Author: gabrielmoreira

Generating Trading Signals

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".

gabrielmoreira Updated Sep 9, 2026 17 repo stars

File contents

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

---name: generating-trading-signalsdescription: 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".license: MIT---# 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: ```bash set -euo pipefail pip install yfinance pandas numpy ``` Optional for visualization: `pip install matplotlib` ## Instructions 1. **Quick signal scan** across multiple assets: ```bash 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. 2. **Detailed signal analysis** for a specific symbol: ```bash python ${CLAUDE_SKILL_DIR}/scripts/scanner.py --symbols BTC-USD --detail ``` Shows each indicator's individual signal, value, and reasoning. 3. **Filter and rank** the best opportunities: ```bash # 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 ``` 4. **Use predefined watchlists**: ```bash 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: ```bash python ${CLAUDE_SKILL_DIR}/scripts/scanner.py --watchlist crypto_top10 --period 6m ``` **Deep dive on Bitcoin** - Full indicator breakdown with risk management levels: ```bash python ${CLAUDE_SKILL_DIR}/scripts/scanner.py --symbols BTC-USD --detail ``` **Find strongest DeFi buy signals** - Filter and rank by confidence: ```bash 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: ```bash 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

Frequently asked questions

Generating Trading Signals

File contents

Generating Trading Signals

Overview

Prerequisites

Instructions

Output

Error Handling

Examples

Resources

Related skills

Frequently asked questions

How do I install the Generating Trading Signals skill?

What does the Generating Trading Signals skill do?

Is Generating Trading Signals safe to use?

Which AI agents work with Generating Trading Signals?

Is Generating Trading Signals free to use?

Who published Generating Trading Signals?