Trend Following Strategy (v1.0.0)#

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

Quick Start#

bash

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

Examples:

bash

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#

IndicatorPurposeRSI(14)Overbought/oversold (70+=overbought, 30-=oversold)MACDTrend momentum (histogram crossing 0 = signal)MA20/50/200Trend direction (price vs moving averages)Bollinger BandsVolatility envelopesVolume MAVolume 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