Trend Following

Trend-following stock analysis using price + volume. Use when user asks to analyze a stock, check a ticker, get buy/sell signals, find support/resistance, or...

Security Scan

The skill's code, instructions, and requirements are coherent with a local trend-following stock analysis tool and do not request unrelated credentials or unusual system access.

Purpose & Capability

Name/description (trend-following stock analysis) matches the included script and SKILL.md. The script fetches historical price/volume data via yfinance and computes indicators (MA, RSI, MACD, Bollinger, volume MA) — all proportional to the stated purpose.

Instruction Scope

SKILL.md only instructs running the included Python script and installing yfinance. The runtime instructions and script operate on market data from Yahoo Finance; they do not read unrelated local files, environment variables, or contact unexpected external endpoints.

Install Mechanism

No automated install spec is present (instruction-only). The README notes 'pip install yfinance' which is reasonable. No downloads from arbitrary URLs or archive extraction are present.

Credentials

The skill declares no required environment variables, credentials, or config paths. The script does not attempt to access secrets or unrelated system config.

Persistence & Privilege

always is false and the skill does not request persistent system presence or modify other skills/settings. It runs as a one-off script when invoked.

Assessment

This appears to be a straightforward, local analysis tool. Before installing: (1) be aware it needs network access to fetch market data via yfinance (which queries Yahoo Finance) and you must pip-install the yfinance dependency; (2) inspect any transitive Python packages you install (supply-chain risk is separate from this skill's code); (3) the output is analytical, not guaranteed trading advice — validate signals independently before acting with real funds.

Trend Following Strategy (v1.0.0)

Price + Volume based trend analysis with buy/sell signals, support/resistance levels, and target pricing.

Quick Start

python3 skills/trend-following/scripts/trend_strategy.py <TICKER> [PERIOD]

Examples:

python3 skills/trend-following/scripts/trend_strategy.py ADBE 1y
python3 skills/trend-following/scripts/trend_strategy.py ORCL 6mo
python3 skills/trend-following/scripts/trend_strategy.py AAPL

Indicators Used

Indicator	Purpose
RSI(14)	Overbought/oversold (70+=overbought, 30-=oversold)
MACD	Trend momentum (histogram crossing 0 = signal)
MA20/50/200	Trend direction (price vs moving averages)
Bollinger Bands	Volatility envelopes
Volume MA	Volume surges confirm moves

Signal Logic

Buy Signals 🟢

• MACD histogram crosses above 0 (golden cross)
• Volume >1.5x avg + price above MA20
• RSI 40-60 + uptrend confirmation
• Pullback to MA20 in strong uptrend
• RSI oversold + MACD reversal = possible bottom

Sell Signals 🔴

• RSI >70 (overbought)
• Price below MA20 in downtrend
• Volume >2x on price decline
• MACD bearish (below signal line)
• Breaking support level

Output Sections

1. Trend Status — MA20/50/200 alignment
2. Key Levels — Resistance and support zones
3. Signals — Current buy/sell conditions
4. Entry & Targets — Entry price, stop loss, 3 targets with R/R ratio

Parameters

• TICKER — Required. Yahoo Finance ticker symbol (e.g., ADBE, ORCL, TSLA)
• PERIOD — Optional. Data period (default: 1y). Options: 3mo, 6mo, 1y, 2y, 5y

Notes

• Requires yfinance (pip install yfinance)
• Uses swing point detection for support/resistance
• Targets are based on measured moves from current price to next S/R level
• Always validate with current market data before trading