KIS OPEN API CODING GUIDE

KIS Position Sizing Calculator in Python: Risk Per Trade Before Order

A copy-paste risk sizing pattern that converts account equity, risk percent, entry price and stop price into a maximum share quantity.

Reviewed September 8, 2026 | Educational coding article | No credentials or proprietary source code included

What You Will Build Mentally

A trading app should know the allowed position size before it thinks about orders. This article builds the calculation layer that turns risk percentage and stop distance into a controlled share quantity.

Risk capitalRisk cash equals account equity multiplied by selected risk percentage.

Stop distanceThe difference between entry and stop defines how much one share can lose.

Maximum sharesThe final quantity is floored so the planned risk is not exceeded.

Zero-risk guardIf entry and stop are equal or invalid, the safest output is zero shares.

Account-level capProduction systems should also cap total exposure across all open positions.

Safe Reference Pattern

This is original sanitized example code. It is intentionally incomplete around credentials and order placement. Replace placeholders only inside your private environment, never inside public pages, screenshots, or downloadable examples.

def shares_by_risk(account_equity, risk_pct, entry_price, stop_price):
    risk_cash = account_equity * (risk_pct / 100)
    per_share_risk = abs(entry_price - stop_price)
    if per_share_risk <= 0:
        return 0
    return int(risk_cash // per_share_risk)

print(shares_by_risk(10_000_000, 1, 70000, 68000))

Implementation Notes

Formula

Risk capital = account equity x risk percent. Quantity = risk capital divided by risk per share. This is a generic educational calculation and must be adjusted for fees, taxes, lot rules and market-specific constraints.

Where KIS fits

KIS account endpoints can help obtain balance and holdings, while quote endpoints can help validate current price. Keep those requests inside your private wrapper.

Professional addition

Combine this with max daily loss, max open risk and duplicate order controls so one strategy cannot over-allocate an account.

Related KIS Open API Guides

Use these guides as a safe learning path from authentication and data access toward risk checks, paper testing, logging and deployment.

KIS Python Developer Guide A practical hub for building KIS Open API Python applications with authentication, data access, risk checks, logging, testing and safe deployment boundaries. KIS Open API Python Tutorial Learn a clean beginner workflow for KIS Open API in Python: config files, OAuth token flow, quote request structure, and safety checks without exposing credentials. KIS Open API Authentication Guide A practical authentication guide for KIS developers covering tokenP, paper versus live keys, token caching, and safe error handling. How to Store KIS App Key and Secret Safely in a Python Application A security-first article explaining safe credential storage patterns for KIS apps without publishing private keys. KIS Open API REST vs WebSocket A practical architecture comparison for KIS developers deciding between polling REST endpoints and realtime WebSocket feeds. KIS Open API WebSocket Python Guide Understand the KIS WebSocket workflow in Python: approval keys, subscribe frames, PINGPONG handling, encrypted frames, and reconnect strategy. KIS Order API Safety Checklist A serious pre-trade checklist for developers working with KIS order APIs, focusing on validation, account mode and fail-safe design. KIS Paper Trading Bot Workflow A safe architecture for testing KIS trading ideas with signals, risk checks, paper decisions and manual approval before any live order layer.

Security and Accuracy Boundary

No App Key, App Secret, HTS ID, account number, access token, approval key, vault file, executable, or private AlgoSpecial source code is shown here.
Always verify endpoints, TR IDs, parameters, permissions and rate limits against the current official KIS Developers portal before live use.
This content is for software education. It is not investment advice, a profit claim, or an instruction to place live trades.

Public References

This article is based on public KIS Open API concepts and fresh educational examples, not private AlgoSpecial source code. Verify current endpoint behavior in the official resources before live use.

FAQ

Is this financial advice?

No. It is a software calculation example for risk-controlled application design.

Why floor the quantity?

Flooring prevents the calculated position from exceeding the selected risk.

Should commissions be included?

Yes, a production version should include fees, taxes and slippage assumptions.