Generate trading signals for cryptocurrency (BTC, ETH) and crypto-adjacent stocks (COIN, MSTR) using free market data APIs, technical analysis, and LLM interpretation. Use when asked to analyze crypto prices, generate buy/sell/hold signals, check portfolio status, or run the crypto signal workflow. Triggers on phrases like 'crypto signals', 'check my portfolio', 'analyze BTC', 'trading signals', 'market analysis', 'should I buy or sell'.
Scanned 9/12/2026
Install to Claude Code
npx -y skills add aibot88/sec_skill_store --skill crypto-signals --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: crypto-signals
description: "Generate trading signals for cryptocurrency (BTC, ETH) and crypto-adjacent stocks (COIN, MSTR) using free market data APIs, technical analysis, and LLM interpretation. Use when asked to analyze crypto prices, generate buy/sell/hold signals, check portfolio status, or run the crypto signal workflow. Triggers on phrases like 'crypto signals', 'check my portfolio', 'analyze BTC', 'trading signals', 'market analysis', 'should I buy or sell'."
license: MIT
allowed-tools: shell read_file
---
# Crypto Trading Signals
Trading signal generation for a $10 crypto portfolio: $5 BTC, $5 ETH, plus crypto-adjacent stocks COIN and MSTR.
## Portfolio
```
ASSET | TYPE | VALUE
-------|---------|--------
BTC | Crypto | $5.00
ETH | Crypto | $5.00
COIN | Stock | Track only
MSTR | Stock | Track only
```
COIN and MSTR are stocks, not cryptocurrencies. They trade Mon-Fri 9:30AM-4PM ET.
## How It Works
This skill uses a **two-phase design** optimized for small models (0.5B-1B):
**Phase 1 — Data (script does everything):**
A Python script fetches prices, computes RSI/MACD/Bollinger indicators, generates BUY/HOLD/SELL signals, and writes the results to `crypto_report.json`.
**Phase 2 — Interpret (model reads JSON, writes summary):**
The model reads the pre-computed JSON and writes a human-readable report to `crypto_summary.txt`.
The script handles all the hard work. The model only needs to call 2 tools total.
## Workflow
### Step 1: Run the signal script
**IMPORTANT: Copy and paste this exact command into the shell tool. Do NOT modify the path.**
```
find /usr -name crypto_signal_agent.py -exec python {} run \;
```
This command searches for the script and runs it. The path will be found automatically. Do NOT guess paths like /path/to/ or /usr/bin/python. Use only the command above, exactly as written.
The script will:
- Fetch BTC and ETH prices from CoinGecko (fallback: CoinCap)
- Fetch COIN and MSTR prices from Yahoo Finance
- Compute RSI, SMA, EMA, MACD, Bollinger Bands from 30-day history
- Generate BUY/HOLD/SELL signals with confidence levels
- Write results to `crypto_report.json` in the current directory
- Append to `crypto_signals_log.json` for historical tracking
### Step 2: Read the report
Use the `read_file` tool to read `crypto_report.json`.
### Step 3: Write a human-readable summary
Based on the JSON data, use `write_file` to create `crypto_summary.txt` containing:
```
CRYPTO SIGNAL REPORT — {date}
========================
BTC: ${price} ({change_24h}% 24h)
RSI(14): {rsi} | MACD: {macd} | BB Position: {pos}
SIGNAL: {signal} ({confidence})
ETH: ${price} ({change_24h}% 24h)
RSI(14): {rsi} | MACD: {macd} | BB Position: {pos}
SIGNAL: {signal} ({confidence})
COIN: ${price} ({change}% 24h) — STOCK, not crypto
MSTR: ${price} ({change}% 24h) — STOCK, not crypto
PORTFOLIO: ${total} | 24h P&L: {pnl}%
ACTION: {one sentence recommendation}
```
Use the signal data from the JSON. Do not make up numbers.
### Step 4: Present to user
Read `crypto_summary.txt` and display it as your final answer.
## Quick Commands
- "Run signals" → Full 4-step workflow above
- "Check prices" → Run script, read report, show prices only
- "How's my portfolio" → Run script, read report, show portfolio section
## Other Script Commands
The script supports additional commands:
- `run` — Full analysis + JSON report
- `prices` — Current prices only
- `history` — Last 100 logged signals
Change `run` to `prices` or `history` in the command above.
## Constraints
- Zero dependencies — Python stdlib only
- Free APIs only — CoinGecko, CoinCap, Yahoo Finance (no keys)
- COIN/MSTR are stocks — note this in output
- Not financial advice — for educational/research purposes
## Troubleshooting
- If the script fails with a network error, the JSON will contain `_error` fields
- If CoinGecko rate-limits (429), the script auto-falls back to CoinCap
- If Yahoo Finance fails, stock data will be missing (crypto still works)
- The script writes to the current working directory
## Asset Reference
| Asset | CoinGecko ID | Yahoo Ticker | Type |
|-------|-------------|--------------|------|
| BTC | bitcoin | BTC-USD | Crypto |
| ETH | ethereum | ETH-USD | Crypto |
| COIN | — | COIN | Stock |
| MSTR | — | MSTR | Stock |Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
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