Add RSI(14) divergence indicator

[gauravarora]

Summary

Implements RSI(14) divergence detection to identify potential reversal and continuation signals as requested in issue #172.

Changes

1. New detect_rsi_divergence() function in Pktalib.py

Detects four types of divergences:

• Regular Bullish: Price makes lower lows while RSI makes higher lows (bullish reversal signal)
• Regular Bearish: Price makes higher highs while RSI makes lower highs (bearish reversal signal)
• Hidden Bullish: Price makes higher lows while RSI makes lower lows (bullish continuation signal)
• Hidden Bearish: Price makes lower highs while RSI makes higher highs (bearish continuation signal)

The implementation uses swing detection algorithm similar to the AutoTrader reference provided in the issue.

2. New findRSIDivergence() screening method in ScreeningStatistics.py

• Integrates divergence detection into the screening workflow
• Allows filtering by divergence type: 'bullish', 'bearish', 'hidden_bullish', 'hidden_bearish', or 'any'
• Checks recent 5 bars for divergence signals
• Stores divergence information in screening dictionaries for output

3. Comprehensive unit tests in PKTaLib_test.py

• Tests normal divergence detection with realistic data patterns
• Tests edge cases with insufficient data
• Validates output structure and data types

Configuration

Configurable parameters:

• rsi_period: RSI calculation period (default: 14)
• swing_order: Number of points on each side for swing detection (default: 5)
• tolerance: Tolerance window for matching price and indicator swings (default: 2)

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