Algo Options

Name: Algo Options
Author: marketcalls

marketcalls/openalgo-execution-skills

17 installs
7 repo stars
Updated April 28, 2026
marketcalls/openalgo-execution-skills

Helps with ai & agent building tasks.

About

algo-options is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.

algo-options
AI & Agent Building
AI-coding skill

Algo Options by the numbers

17 all-time installs (skills.sh)
+4 installs in the week ending Aug 2, 2026 (Skillselion tracking)
Ranked #10,875 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
Data as of Aug 2, 2026 (Skillselion catalog sync)

npx skills add https://github.com/marketcalls/openalgo-execution-skills --skill algo-options

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Installs	17
repo stars	★ 7
Last updated	April 28, 2026
Repository	marketcalls/openalgo-execution-skills ↗

What it does

Helps with ai & agent building tasks.

Files

SKILL.mdMarkdownGitHub ↗

Create an options execution strategy.

Arguments

Parse $ARGUMENTS as: template underlying expiry-date

$0 = template (short-straddle, iron-condor)
$1 = underlying (e.g. NIFTY, BANKNIFTY). Default: NIFTY
$2 = expiry date in DDMMMYY format (e.g. 30DEC25). REQUIRED - no auto-roll. Ask if not given.

If no arguments, ask the user which template.

Instructions

1. Read algo-expert/rules/options-execution.md, unified-strategy-pattern.md, and self-hosted-strategies.md. 2. Confirm with the user that backtest mode is disabled for options strategies (the file will exit with a clear message if --mode backtest is passed). They use OpenAlgo's UI analyzer toggle for sandbox testing instead. 3. Ask the user:

Lots: how many lots (default 1)
OTM offsets (iron-condor only): OTM_NEAR for short body (default 4), OTM_FAR for long wings (default 8)
Entry time (IST, e.g. 09:20)
Exit time (IST, e.g. 15:15)
SL multiplier (short_straddle, e.g. 1.30 for 30% premium SL)

4. Read the matching template at algo-expert/rules/assets/<template>/strategy.py. 5. Create strategies/<template>_<underlying>/ and copy + customize. 6. Set:

UNDERLYING, UNDERLYING_EXCH, EXPIRY_DATE
LOTS, LOT_SIZE (NIFTY=65, BANKNIFTY=30, FINNIFTY=60 per Apr 2026 SEBI - see lot-sizes.md)
ENTRY_TIME, EXIT_TIME as dtime(H, M)
SL_MULTIPLIER for short straddle
OTM_NEAR, OTM_FAR for iron condor

7. Tell the user:

To upload to /python: requires apscheduler and pytz packages installed (covered by setup)
Always re-confirm EXPIRY_DATE before each cycle - the file does NOT auto-roll
Set MODE=live in upload form parameters; OpenAlgo UI's analyzer toggle decides sandbox vs real
Strategy holds NRML overnight if not flat at EXIT_TIME - cancelallorder + closeposition is called automatically

Templates

Template	Description
`short-straddle`	Sell ATM CE + ATM PE at scheduled time, per-leg broker SL at SL_MULTIPLIER * premium, flat at EXIT_TIME
`iron-condor`	OTM_NEAR short CE/PE + OTM_FAR long CE/PE wings, monitor and flat at EXIT_TIME

Backtest mode is off

The generated file checks for --mode backtest and exits:

Options backtesting is not supported in this skill pack.
Options pricing depends on volatility surfaces, time decay, and OI dynamics
that intraday OHLCV backtests don't capture well.
Use --mode live (with OpenAlgo's UI analyzer toggle for sandbox).

If the user wants to dry-run, they should: 1. Flip OpenAlgo's analyzer toggle ON (in /analyzer UI) 2. Run with --mode live - orders go to the sandbox, not the broker

Avoid

Do not use icons/emojis
Do not auto-roll expiry date (EXPIRY_DATE = "30DEC25" is hardcoded; user must update weekly)
Do not implement options backtesting - explicitly out of scope
Do not skip the SL placement - per-leg SL is critical for short premium strategies