technical-analysis

name

technical-analysis

description

Systematic chart reading and technical analysis for NSE/BSE Indian equities. Covers trend identification, support/resistance mapping, volume analysis, indicator dashboards, and probabilistic scenario building. Uses Groww MCP for live data and yfinance for history. Use when the user asks to: read a chart, identify trends, find support/resistance levels, check indicators (RSI, MACD, Bollinger, ADX, Stochastic), analyze volume, or build trade scenarios. Triggers on: "what's the trend on [stock]", "support resistance for [stock]", "indicators for [stock]", "is [stock] bullish or bearish", "volume analysis", "chart analysis", or any request to interpret price action on Indian equities.

Technical Analysis

Read the chart systematically — don't cherry-pick indicators that confirm a bias.

Prerequisites

No hard dependencies. Works best with Groww MCP or yfinance for live data, but can analyze any stock if you provide prices manually.

Data Collection

When data tools are available, fetch in this order:

1. Resolve symbol: search_stock_and_others_symbol on Groww
2. Live quote: get_quotes_and_depth for current price, volume, day range
3. Indicators: get_historical_technical_indicators for SMA, EMA, RSI, MACD, Bollinger, ADX
4. Candles: fetch_historical_candle_data with interval=1d for at least 200 days
5. Long history (if needed): yf.download("SYMBOL.NS", period="2y") via yfinance

Step 1: Trend Identification

• Primary trend (weekly): Higher highs & higher lows = uptrend. Lower highs & lower lows = downtrend.
• Secondary trend (daily): Current swing direction within the primary trend.
• Moving average alignment:
  • Price > SMA20 > SMA50 > SMA200 = strong uptrend
  • Price < SMA20 < SMA50 < SMA200 = strong downtrend
  • Mixed = transitional / choppy
• Cross signals: Golden cross (SMA50 > SMA200) = bullish. Death cross = bearish.

Step 2: Support & Resistance

• Horizontal S/R: Recent swing highs and lows with at least 2 touches
• Round numbers: Psychological levels (Rs.1,000, Rs.1,500, Rs.2,000)
• Volume clusters: Zones where heavy trading occurred (act as magnets)
• Dynamic S/R: SMA20 (short-term), SMA50 (medium), SMA200 (major)
• Gap zones: Unfilled gaps act as support (gap up) or resistance (gap down)

Step 3: Volume Analysis

Price Action	Volume	Interpretation
Rising price	Rising volume	Strong move — trend healthy
Rising price	Falling volume	Weak rally — suspect, may reverse
Falling price	Rising volume	Strong selling — trend acceleration
Falling price	Falling volume	Selling exhaustion — bounce possible
Spike volume at support	—	Potential capitulation / reversal
Spike volume at resistance	—	Breakout attempt or distribution

Compare current volume to 20-day average. >1.5x = significant.

Step 4: Indicator Dashboard

Pull via get_historical_technical_indicators:

Indicator	Bullish	Bearish	Neutral
RSI(14)	>50, rising from <30	<50, falling from >70	40-60, flat
MACD	Line > Signal, histogram growing	Line < Signal, histogram shrinking	Near zero line
Bollinger Bands	Price bouncing off lower band	Price rejected at upper band	Walking the band
ADX	>25 with +DI > -DI	>25 with -DI > +DI	<20 (no trend)
Stochastic	%K crosses above %D below 20	%K crosses below %D above 80	Mid-range

Count bullish vs bearish signals to gauge overall bias.

Step 5: Probabilistic Scenarios

Always present 2-3 scenarios with rough probabilities. Assign higher probability to the scenario with more technical evidence.

SCENARIO A (Bullish) — XX% probability
- Trigger: [specific price/indicator condition]
- Target: Rs.XXX (nearest resistance / Fib level)
- Invalidation: Close below Rs.XXX

SCENARIO B (Bearish) — XX% probability
- Trigger: [specific condition]
- Target: Rs.XXX (nearest support)
- Invalidation: Close above Rs.XXX

SCENARIO C (Sideways) — XX% probability
- Range: Rs.XXX to Rs.XXX
- Duration estimate: X days/weeks
- Breakout signal: [what to watch]

Probabilities should sum to ~100%. Base them on: trend alignment, indicator consensus, volume confirmation, and S/R proximity.