Install
$ agentstack add skill-bhala-srinivash-nse-trading-skills-stop-loss-strategies ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Stop-Loss Strategies
A stop-loss is not optional. Every position needs one before entry. The purpose is to cap your maximum loss — not to predict where price will go.
Prerequisites
No dependencies required. Provide entry price and key levels manually. Enhanced with Groww MCP (candles, ATR, MAs) or yfinance (pip install yfinance).
Data Needed
- Entry price: Known or planned
- Recent candles:
fetch_historical_candle_data(daily, last 60 days) or user-provided levels - ATR(14):
get_historical_technical_indicatorsfrom Groww, or calculate manually - Key S/R levels: From technical-analysis skill or swing highs/lows
- Moving averages: SMA20, SMA50, SMA200
Stop Type Selection
| Method | Best For | How to Calculate | |--------|----------|-----------------| | Structure-based | Swing trades, clear chart patterns | Below recent swing low (long) or above swing high (short) | | ATR-based | Volatile stocks, no clear structure | Entry - ATR(14) × 1.5 to 2.0 | | Support/Resistance | Range-bound markets, clear levels | Below key support level + buffer | | Moving Average | Trend-following trades | Below SMA20 (aggressive) or SMA50 (conservative) |
Structure-Based (Preferred)
Find the most recent swing low (for longs) that, if broken, would invalidate your trade thesis.
Stop = Recent swing low - buffer
Buffer = 0.5% for large-caps, 1% for mid/small-caps
ATR-Based
Adapts to the stock's natural volatility:
Stop (long) = Entry - ATR(14) × multiplier
Stop (short) = Entry + ATR(14) × multiplier
Multiplier: 1.5 (tight) to 2.0 (standard) to 2.5 (loose)
Support/Resistance-Based
Place stop just below a confirmed support level:
Stop = Support level × (1 - buffer%)
Buffer: 0.5% large-cap, 1.0% mid/small-cap
Only use levels with at least 2 historical touches.
Moving Average-Based
For trend-following positions:
Aggressive: Stop below SMA20 (for short-term trends)
Moderate: Stop below SMA50 (for medium-term trends)
Conservative: Stop below SMA200 (for long-term holds)
Best when MA is clearly sloping in your direction.
Buffer Rules
- Round stop to nearest Rs.5 or Rs.10 for cleaner levels
- Use closing price as trigger, not intraday wicks (unless day trading)
- Add extra buffer if the stock has a history of stop-hunting wicks
- For illiquid stocks (avg volume < 50K/day), use wider buffers (1.5-2%)
Hard Rules
These are non-negotiable:
- Max loss per trade: 2% of capital (1% if using leverage)
- Never move stop further away — only tighten or leave unchanged
- If stop hits: exit immediately at next open. No "let me wait for close"
- Pre-set the stop: Decide before entering. Don't adjust based on emotions after entry
- No mental stops: Use actual stop-loss orders on Groww if possible, or set hard price alerts
Stop Validation
Before finalizing, check:
- [ ] Is the stop beyond normal noise? (At least 1× ATR away from entry)
- [ ] Does the position size at this stop keep risk within limits?
- [ ] Is the R:R ratio still acceptable? (→ check with risk-reward-ratio skill)
- [ ] Is the stop below a meaningful technical level, not just a round number?
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Bhala-Srinivash
- Source: Bhala-Srinivash/nse-trading-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.