Bhala-SrinivashBhala-Srinivash/nse-trading-skills/position-sizing/SKILL.md

position-sizing

Skill36 starsChanged 8 months agoMITView on GitHub

Calculate optimal position sizes for NSE/BSE equity trades using fixed fractional, ATR-based, and Kelly criterion methods. Includes portfolio constraints and leverage adjustments.

Installs packages

We split this skill into the rules it gives an agent

3 rules. 0 are common, 2 are distinctive, and 1 is very specific to this project.

0
Common
Most of the 7 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.

Common
Distinctive
Very specific

Very specific:
No dependencies required. Works with manually provided prices.
line 18
Distinctive:
If a position would breach a constraint, reduce size until it fits.
line 102
Distinctive:
When using margin/leverage, the math changes because losses are amplified:
line 106

“Common” is measured: kept by at least 6 in 10 of the 7 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.

Files

SKILL.md

Position Sizing

Position sizing is how you survive. The goal: risk a small, consistent percentage of capital per trade so that no single loss can cripple your account.

Prerequisites

No dependencies required. Works with manually provided prices. Enhanced with Groww MCP (live price, ATR, portfolio) or yfinance (pip install yfinance).

Data Needed

Account size: Total trading capital (ask user if not known)
Current price: get_quotes_and_depth from Groww, or user-provided
ATR(14): get_historical_technical_indicators from Groww, or calculate from candle data
Existing positions: get_equity_portfolio_holdings to check concentration (optional)

Method 1: Fixed Fractional (Default)

This is the go-to method. Simple, robust, works for everyone.

Risk per trade = Account size × Risk%
Shares = Risk per trade ÷ (Entry price - Stop-loss price)
Capital required = Shares × Entry price

Risk% guidelines:

Situation	Risk%
Normal (no leverage)	1-2%
With 2x leverage	0.5-1%
With 3-4x leverage	0.25-0.5%
High conviction trade	Up to 3% (rare)
New/uncertain setup	0.5%

Example

Account: Rs.10,00,000
Risk: 2% = Rs.20,000
Entry: Rs.1,800
Stop: Rs.1,700 (Rs.100 risk per share)
Shares: 20,000 ÷ 100 = 200 shares
Capital: 200 × 1,800 = Rs.3,60,000 (36% of account)

Method 2: ATR-Based Sizing

Uses volatility to set the stop distance, then sizes accordingly.

Stop distance = ATR(14) × multiplier
Shares = Risk amount ÷ Stop distance

Market Condition	ATR Multiplier
Low volatility (ADX < 20)	1.5× ATR
Normal volatility	2.0× ATR
High volatility (ADX > 30)	2.5× ATR

This naturally sizes you smaller in volatile stocks and larger in calm ones.

Method 3: Kelly Criterion (Advanced)

For traders with a track record of at least 30 trades:

Kelly% = W - (1 - W) / R
W = historical win rate
R = average win / average loss

Use Half-Kelly (Kelly% ÷ 2) for real trading — full Kelly is too aggressive.

Win Rate	Avg W/L Ratio	Kelly%	Half-Kelly
40%	2.0	10%	5%
50%	1.5	17%	8%
60%	1.2	27%	13%

Portfolio Constraints

These are hard limits — never exceed them regardless of sizing method:

Constraint	Limit
Single stock	Max 20% of portfolio
Single sector	Max 35% of portfolio
Total open risk	Max 6% of portfolio (sum of all position risks)
Correlated positions	Max 3 stocks in same sector simultaneously

If a position would breach a constraint, reduce size until it fits.

Leverage Adjustment

When using margin/leverage, the math changes because losses are amplified:

Effective risk% = Risk% × Leverage
So: reduce your base risk% by dividing by leverage

At 3.74x leverage:
  Normal risk: 2%
  Adjusted risk: 2% ÷ 3.74 ≈ 0.5%
  This keeps your effective risk at ~2%

Output

Present position sizing as:

Position Size: XXX shares
Capital Required: Rs.X,XX,XXX
Risk Amount: Rs.X,XXX (X.X% of account)
Stop-Loss: Rs.XXX (X.X% below entry)
Portfolio Allocation: XX% of total capital

Download now (ZIP)

Other versions7 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 7
agiprolabs/claude-trading-skills★ 366same name
nimadorostkar/Claude-Skills-collection★ 33same name
SKE-Labs/agent-trading-skills★ 17same name
brainbytes-dev/everything-claude-trading★ 16same name
Shubhamkumartrichy/claude-trading-skills-india★ 7same name
IngAs8/ClaudeSkill★ 0same name
Serennity007/claude-trading-skills-67★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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In this repository8 other files it gives its agents.
- fibonacci-tradingSkill
- multi-timeframe-analysisSkill
- nse-trading-toolkitSkill
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- stop-loss-strategiesSkill
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