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Agent skill

Generating Trading Signals

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Generate trading signals using technical indicators (RSI, MACD, Bollinger Bands, etc.).

MITAuto-check passedBusiness, Finance & HR

Install Generating Trading Signals

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill generating-trading-signals -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace generating-trading-signals --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/generating-trading-signals .claude/skills/generating-trading-signals && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
generating-trading-signals
GitHub stars
2.8k
Token cost
~1.1k tokens
SKILL.md length
281 words
Files
8 (incl. scripts, references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Generate trading signals using technical indicators (RSI, MACD, Bollinger Bands, etc.).

  • Works in 4 steps: Quick signal scan across multiple assets → Detailed signal analysis for a specific… → Filter and rank the best opportunities → …
  • Analyzing assets for trading opportunities
  • SKILL.md covers Overview, Prerequisites, Instructions and Output, plus 3 more sections
  • Runs Python scripts from its folder; calls python and pip

What it does

Generating Trading Signals is an agent skill from jeremylongshore/tons-of-skills-marketplace. 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".

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts and reference files (for example `config/settings.yaml`, `references/errors.md` and `references/examples.md`). Compatibility notes: Designed for Claude Code

It sits in Business, Finance & HR, covering Trading and backtesting. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Analyzing assets for trading opportunities
  • Checking technical indicators
  • With phrases like get trading signals
  • Check indicators

Example prompts

  • “get trading signals”
  • “check indicators”
  • “analyze for entry”
  • “/generating-trading-signals”

Requirements

  • Python 3
  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Grep, Glob, Bash(python:*)

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Quick signal scan across multiple assets
  2. Detailed signal analysis for a specific symbol
  3. Filter and rank the best opportunities
  4. Use predefined watchlists

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Grep
    • Glob
    • Bash(python:*)

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 3 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python
    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Generating Trading Signals loads about 1.1k tokens when it runs, and up to ~4.9k if it reads all its reference files. Until then it costs about 112 tokens; SKILL.md has 281 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~112
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 281 words, ~1,058 tokens.

Download SKILL.mdSave it as .claude/skills/generating-trading-signals/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
generating-trading-signals
description
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".
allowed-tools
Read, Write, Edit, Grep, Glob, Bash(python:*)
compatibility
Designed for Claude Code
version
1.30.0
author
Jeremy Longshore <jeremy@intentsolutions.io>
license
MIT
tags
crypto, trading-signals

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

ErrorCauseFix
No data for symbolInvalid ticker or delistedVerify symbol exists on Yahoo Finance
Insufficient dataPeriod too short for indicatorsUse --period 6m minimum
Rate limit exceededToo many rapid API callsAdd 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

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 7 other files (scripts, references) in skills/.curated/generating-trading-signals of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • config/settings.yaml
  • references/errors.md
  • references/examples.md
  • references/implementation.md
  • scripts/indicators.py
  • scripts/scanner.py
  • scripts/signals.py

Open the folder on GitHubat commit cfae287

Compare with similar skills

Generating Trading Signals next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Generating Trading Signals compared with similar skills
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Tradingview MCPatilaahmettaner/tradingview-mcp5k—~1.3kAutomated safety check: PassMIT
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Polyclawchainstacklabs/polyclaw3591 repos~2kAutomated safety check: PassApache-2.0
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Categories

Questions about Generating Trading Signals

What does Generating Trading Signals do?

Generate trading signals using technical indicators (RSI, MACD, Bollinger Bands, etc.). Generating Trading Signals is an agent skill from jeremylongshore/tons-of-skills-marketplace.).

When should I use Generating Trading Signals?

Generating Trading Signals fits situations like: analyzing assets for trading opportunities; checking technical indicators; with phrases like get trading signals; check indicators.

How do I install Generating Trading Signals in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill generating-trading-signals -a claude-code`. Or copy the skill folder (skills/.curated/generating-trading-signals in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/generating-trading-signals in your project. Claude Code loads it when a task matches its description.

How do I install Generating Trading Signals in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill generating-trading-signals -a codex`. Or copy the skill folder (skills/.curated/generating-trading-signals in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/generating-trading-signals in your project. Codex loads it when a task matches its description.

Can I use Generating Trading Signals in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill generating-trading-signals -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/generating-trading-signals, .gemini/skills/generating-trading-signals, .github/skills/generating-trading-signals and .opencode/skills/generating-trading-signals in your project.

What does Generating Trading Signals need to run?

Going by SKILL.md and its folder, Generating Trading Signals needs Python for the scripts in its folder and the command-line tools its instructions call (python and pip). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Edit, Grep, Glob, Bash(python:*). Compatibility (from SKILL.md): Designed for Claude Code.

Does Generating Trading Signals access the network?

SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Generating Trading Signals safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Generating Trading Signals use?

Generating Trading Signals is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Generating Trading Signals use?

About 1.1k tokens (SKILL.md is roughly 4.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.9k tokens, read only when the agent opens those files.

What are the alternatives to Generating Trading Signals?

Skills that share tags, products or a category with Generating Trading Signals: Tushare Data (zillionare/zillionare, 322 stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars), Digital Oracle (komako-workshop/digital-oracle, 878 stars) and Polyclaw (chainstacklabs/polyclaw, 359 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Generating Trading Signals?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.