Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Bhala-Srinivash/nse-trading-skills --skill technical-analysisgit clone --depth 1 https://github.com/Bhala-Srinivash/nse-trading-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/bhala-srinivash/nse-trading-skills/technical-analysis)<a href="https://agentmods.dev/skills/bhala-srinivash/nse-trading-skills/technical-analysis"><img src="https://agentmods.dev/badge/skills/bhala-srinivash/nse-trading-skills/technical-analysis/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/bhala-srinivash/nse-trading-skills/technical-analysis"><img src="https://agentmods.dev/badge/skills/bhala-srinivash/nse-trading-skills/technical-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00156 | $0.01099 |
| Opus 5 | $0.00078 | $0.00549 |
| Sonnet 5 | $0.00031 | $0.00220 |
| Haiku 4.5 | $0.00016 | $0.00110 |
Grade A, and why
technical-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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:
- Resolve symbol:
search_stock_and_others_symbolon Groww - Live quote:
get_quotes_and_depthfor current price, volume, day range - Indicators:
get_historical_technical_indicatorsfor SMA, EMA, RSI, MACD, Bollinger, ADX - Candles:
fetch_historical_candle_datawithinterval=1dfor at least 200 days - 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 |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 100 lines · 156 tokens per session scan A 82b07b486fb3
technical-analysis is a skill published in the GitHub repository Bhala-Srinivash/nse-trading-skills (37 stars, last pushed 6mo ago), licensed MIT. It adds 156 tokens to every session and 1,099 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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