Technical Analysis

Name: Technical Analysis
Author: bhala-srinivash

bhala-srinivash/nse-trading-skills

97 installs
32 repo stars
Updated March 5, 2026
bhala-srinivash/nse-trading-skills

Run systematic NSE/BSE chart reads—trend, S/R, volume, and indicator dashboards—via Groww MCP or yfinance without indicator cherry-picking.

About

technical-analysis is an agent skill for solo traders and indie quant-curious builders who want disciplined reads on NSE and BSE names. It walks through resolving symbols, pulling live depth and quotes, loading historical technical indicators, and downloading at least two hundred daily candles—with optional longer history via yfinance—then synthesizing trend, support and resistance, volume, and multi-indicator context into scenarios rather than cherry-picked bullish narratives. Triggers match natural language asks about trends, RSI, MACD, bullish or bearish bias, and volume on Indian tickers. It pairs with Groww MCP when installed but remains usable if you supply prices manually. Use it whenever you are iterating on entries, exits, or risk around Indian equities and need repeatable structure the agent can follow each session.

Systematic flow: symbol resolve → live quote → historical indicators → daily candles (200+ days)
Indicator set includes RSI, MACD, Bollinger, ADX, Stochastic with bias-aware interpretation
Groww MCP integrations (search, quotes, historical indicators, candles) with yfinance fallback
Volume analysis and probabilistic scenario building instead of single-indicator confirmation
Explicit prerequisite: no hard deps—manual prices work if MCP is unavailable

Technical Analysis by the numbers

97 all-time installs (skills.sh)
Ranked #523 of 1,106 Finance & Trading skills by installs in the Skillselion catalog
Security screen: LOW risk (skills.sh audit)
Data as of Jul 28, 2026 (Skillselion catalog sync)

npx skills add https://github.com/bhala-srinivash/nse-trading-skills --skill technical-analysis

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Installs	97
repo stars	★ 32
Security audit	3 / 3 scanners passed
Last updated	March 5, 2026
Repository	bhala-srinivash/nse-trading-skills ↗

What it does

Run systematic NSE/BSE chart reads—trend, S/R, volume, and indicator dashboards—via Groww MCP or yfinance without indicator cherry-picking.

Files

SKILL.mdMarkdownGitHub ↗

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.