Technical Analysis logo

Technical Analysis

Community
Bhala-Srinivash
technical-analysis

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.

Overview

PublisherBhala-Srinivash
Repositorynse-trading-skills
Skill nametechnical-analysis
Stars
59
Forks
25
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Bhala-Srinivash on GitHub. Read the source before you install it.

Installation

Install the Technical Analysis AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Bhala-Srinivash/nse-trading-skills/tree/master/technical-analysis
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Bhala-Srinivash/nse-trading-skills.git /tmp/nse-trading-skills
mkdir -p .claude/skills
cp -r /tmp/nse-trading-skills/technical-analysis .claude/skills/technical-analysis
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Technical Analysis in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Technical Analysis on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Technical Analysis is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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 ActionVolumeInterpretation
Rising priceRising volumeStrong move — trend healthy
Rising priceFalling volumeWeak rally — suspect, may reverse
Falling priceRising volumeStrong selling — trend acceleration
Falling priceFalling volumeSelling 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:

IndicatorBullishBearishNeutral
RSI(14)>50, rising from <30<50, falling from >7040-60, flat
MACDLine > Signal, histogram growingLine < Signal, histogram shrinkingNear zero line
Bollinger BandsPrice bouncing off lower bandPrice rejected at upper bandWalking 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 80Mid-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.

Frequently asked questions

What does the Technical Analysis AI skill do?

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", "volu...

Why use Technical Analysis on TypingMind?

Because you install it once and use it with any model. Technical Analysis is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Technical Analysis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Bhala-Srinivash/nse-trading-skills/tree/master/technical-analysis. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Technical Analysis?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Technical Analysis?

As many as you like. As long as a model supports skills, you can use Technical Analysis with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Technical Analysis AI skill free?

Yes. It is published on GitHub by Bhala-Srinivash under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇