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options-trading

Name: Options Trading
Author: marketcalls

// Options trading with OpenAlgo - single leg orders, multi-leg strategies (Iron Condor, Straddle, Strangle, Spreads), options chain analysis, and Greeks calculation

Manus에서 실행

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updated:2026년 1월 4일 15:57

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SKILL.md

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market-data.md

from "marketcalls/openalgo-claude-plugin"

Market data retrieval with OpenAlgo - real-time quotes, historical OHLCV, market depth, option chains, WebSocket streaming, and symbol search

2026-01-042

portfolio.md

from "marketcalls/openalgo-claude-plugin"

Portfolio management with OpenAlgo - funds, positions, holdings, order book, trade book, margin calculator, and account management

2026-01-042

technical-indicators.md

from "marketcalls/openalgo-claude-plugin"

Technical analysis with TA-Lib - Moving averages, RSI, MACD, Bollinger Bands, Stochastic, ATR, candlestick patterns, and strategy signals using OpenAlgo market data

2026-01-042

trading-core.md

from "marketcalls/openalgo-claude-plugin"

Core trading operations with OpenAlgo - place orders, smart orders, basket orders, split orders, and order management across 25+ Indian brokers

2026-01-042

visualization.md

from "marketcalls/openalgo-claude-plugin"

Data visualization with OpenAlgo - candlestick charts, options payoff diagrams, P&L dashboards, and real-time Streamlit dashboards

2026-01-042

package.json

"author": "marketcalls"

"repository": "marketcalls/openalgo-claude-plugin"

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재무 및 투자 분석가비즈니스 및 금융 운영직13-2051L4

name	options-trading
description	Options trading with OpenAlgo - single leg orders, multi-leg strategies (Iron Condor, Straddle, Strangle, Spreads), options chain analysis, and Greeks calculation

OpenAlgo Options Trading

Execute options trading strategies using OpenAlgo's unified Python SDK. Supports index options (NIFTY, BANKNIFTY, FINNIFTY), stock options, and complex multi-leg strategies.

Environment Setup

from openalgo import api

client = api(
    api_key='your_api_key_here',
    host='http://127.0.0.1:5000'
)

Quick Start Scripts

Single Leg Options Order

python scripts/options_order.py --underlying NIFTY --expiry 30JAN25 --offset ATM --option-type CE --action BUY --quantity 75

Iron Condor Strategy

python scripts/iron_condor.py --underlying NIFTY --expiry 30JAN25 --quantity 75

Straddle Strategy

python scripts/straddle.py --underlying BANKNIFTY --expiry 30JAN25 --action BUY --quantity 30

Options Symbol Format

OpenAlgo uses standardized symbol formats:

Type	Format	Example
Index Options	`[INDEX][DDMMMYY][STRIKE][CE/PE]`	`NIFTY30JAN2526000CE`
Stock Options	`[SYMBOL][DDMMMYY][STRIKE][CE/PE]`	`RELIANCE30JAN251400CE`
Index Futures	`[INDEX][DDMMMYY]FUT`	`NIFTY30JAN25FUT`

Offset System

OpenAlgo uses an intuitive offset system to select strikes relative to ATM:

Offset	Meaning	Example (NIFTY ATM=26000)
`ATM`	At The Money	26000
`ITM1`	1 strike In The Money	CE: 25950, PE: 26050
`ITM2`	2 strikes In The Money	CE: 25900, PE: 26100
`OTM1`	1 strike Out of The Money	CE: 26050, PE: 25950
`OTM2`	2 strikes Out of The Money	CE: 26100, PE: 25900
`OTM5`	5 strikes Out of The Money	CE: 26250, PE: 25750

Core API Methods

1. Single Leg Options Order

Place ATM, ITM, or OTM options orders:

# ATM Call Option
response = client.optionsorder(
    strategy="OptionsBot",
    underlying="NIFTY",
    exchange="NSE_INDEX",
    expiry_date="30JAN25",
    offset="ATM",
    option_type="CE",
    action="BUY",
    quantity=75,
    pricetype="MARKET",
    product="NRML",
    splitsize=0  # 0 = no splitting
)

Response:

{
  "exchange": "NFO",
  "offset": "ATM",
  "option_type": "CE",
  "orderid": "25013000000001",
  "status": "success",
  "symbol": "NIFTY30JAN2526000CE",
  "underlying": "NIFTY30JAN25FUT",
  "underlying_ltp": 26015.50
}

ITM Put Option:

response = client.optionsorder(
    strategy="OptionsBot",
    underlying="NIFTY",
    exchange="NSE_INDEX",
    expiry_date="30JAN25",
    offset="ITM3",  # 3 strikes ITM
    option_type="PE",
    action="BUY",
    quantity=75,
    pricetype="MARKET",
    product="NRML"
)

OTM Call Option:

response = client.optionsorder(
    strategy="OptionsBot",
    underlying="NIFTY",
    exchange="NSE_INDEX",
    expiry_date="30JAN25",
    offset="OTM5",  # 5 strikes OTM
    option_type="CE",
    action="SELL",
    quantity=75,
    pricetype="MARKET",
    product="NRML"
)

2. Multi-Leg Options Order

Execute complex strategies with multiple legs in a single call:

Iron Condor (4 legs)

response = client.optionsmultiorder(
    strategy="Iron Condor",
    underlying="NIFTY",
    exchange="NSE_INDEX",
    expiry_date="30JAN25",
    legs=[
        {"offset": "OTM6", "option_type": "CE", "action": "BUY", "quantity": 75},
        {"offset": "OTM6", "option_type": "PE", "action": "BUY", "quantity": 75},
        {"offset": "OTM4", "option_type": "CE", "action": "SELL", "quantity": 75},
        {"offset": "OTM4", "option_type": "PE", "action": "SELL", "quantity": 75}
    ]
)

Response:

{
  "status": "success",
  "underlying": "NIFTY",
  "underlying_ltp": 26050.45,
  "results": [
    {"leg": 1, "action": "BUY", "offset": "OTM6", "option_type": "CE", "symbol": "NIFTY30JAN2526350CE", "orderid": "123", "status": "success"},
    {"leg": 2, "action": "BUY", "offset": "OTM6", "option_type": "PE", "symbol": "NIFTY30JAN2525750PE", "orderid": "124", "status": "success"},
    {"leg": 3, "action": "SELL", "offset": "OTM4", "option_type": "CE", "symbol": "NIFTY30JAN2526250CE", "orderid": "125", "status": "success"},
    {"leg": 4, "action": "SELL", "offset": "OTM4", "option_type": "PE", "symbol": "NIFTY30JAN2525850PE", "orderid": "126", "status": "success"}
  ]
}

Bull Call Spread (2 legs)

response = client.optionsmultiorder(
    strategy="Bull Call Spread",
    underlying="NIFTY",
    exchange="NSE_INDEX",
    expiry_date="30JAN25",
    legs=[
        {"offset": "ATM", "option_type": "CE", "action": "BUY", "quantity": 75},
        {"offset": "OTM2", "option_type": "CE", "action": "SELL", "quantity": 75}
    ]
)

Bear Put Spread (2 legs)

response = client.optionsmultiorder(
    strategy="Bear Put Spread",
    underlying="NIFTY",
    exchange="NSE_INDEX",
    expiry_date="30JAN25",
    legs=[
        {"offset": "ATM", "option_type": "PE", "action": "BUY", "quantity": 75},
        {"offset": "OTM2", "option_type": "PE", "action": "SELL", "quantity": 75}
    ]
)

Straddle (2 legs)

response = client.optionsmultiorder(
    strategy="Long Straddle",
    underlying="BANKNIFTY",
    exchange="NSE_INDEX",
    expiry_date="30JAN25",
    legs=[
        {"offset": "ATM", "option_type": "CE", "action": "BUY", "quantity": 30},
        {"offset": "ATM", "option_type": "PE", "action": "BUY", "quantity": 30}
    ]
)

Strangle (2 legs)

response = client.optionsmultiorder(
    strategy="Short Strangle",
    underlying="NIFTY",
    exchange="NSE_INDEX",
    expiry_date="30JAN25",
    legs=[
        {"offset": "OTM3", "option_type": "CE", "action": "SELL", "quantity": 75},
        {"offset": "OTM3", "option_type": "PE", "action": "SELL", "quantity": 75}
    ]
)

Diagonal Spread (Different Expiries)

response = client.optionsmultiorder(
    strategy="Diagonal Spread",
    underlying="NIFTY",
    exchange="NSE_INDEX",
    legs=[
        {"offset": "ITM2", "option_type": "CE", "action": "BUY", "quantity": 75, "expiry_date": "27FEB25"},
        {"offset": "OTM2", "option_type": "CE", "action": "SELL", "quantity": 75, "expiry_date": "30JAN25"}
    ]
)

Calendar Spread (Same Strike, Different Expiries)

response = client.optionsmultiorder(
    strategy="Calendar Spread",
    underlying="NIFTY",
    exchange="NSE_INDEX",
    legs=[
        {"offset": "ATM", "option_type": "CE", "action": "BUY", "quantity": 75, "expiry_date": "27FEB25"},
        {"offset": "ATM", "option_type": "CE", "action": "SELL", "quantity": 75, "expiry_date": "30JAN25"}
    ]
)

Options Analysis

Get Option Symbol

Find the exact symbol for a given strike:

response = client.optionsymbol(
    underlying="NIFTY",
    exchange="NSE_INDEX",
    expiry_date="30JAN25",
    offset="ATM",
    option_type="CE"
)
# Response: {'symbol': 'NIFTY30JAN2526000CE', 'exchange': 'NFO', 'lotsize': 75, ...}

Get Option Chain

Retrieve the full option chain for analysis:

chain = client.optionchain(
    underlying="NIFTY",
    exchange="NSE_INDEX",
    expiry_date="30JAN25",
    strike_count=10  # ±10 strikes from ATM
)

Response includes for each strike:

{
  "strike": 26000.0,
  "ce": {
    "symbol": "NIFTY30JAN2526000CE",
    "label": "ATM",
    "ltp": 250.50,
    "bid": 250.00,
    "ask": 251.00,
    "volume": 1500000,
    "oi": 5000000,
    "lotsize": 75
  },
  "pe": {
    "symbol": "NIFTY30JAN2526000PE",
    "label": "ATM",
    "ltp": 245.00,
    "bid": 244.50,
    "ask": 245.50,
    "volume": 1200000,
    "oi": 4500000,
    "lotsize": 75
  }
}

Calculate Option Greeks

Get Delta, Gamma, Theta, Vega, Rho for any option:

greeks = client.optiongreeks(
    symbol="NIFTY30JAN2526000CE",
    exchange="NFO",
    interest_rate=0.00,
    underlying_symbol="NIFTY",
    underlying_exchange="NSE_INDEX"
)

Response:

{
  "status": "success",
  "symbol": "NIFTY30JAN2526000CE",
  "option_type": "CE",
  "strike": 26000.0,
  "spot_price": 25966.05,
  "option_price": 250,
  "days_to_expiry": 28.5,
  "implied_volatility": 15.6,
  "greeks": {
    "delta": 0.4967,
    "gamma": 0.000352,
    "theta": -7.919,
    "vega": 28.9489,
    "rho": 9.733994
  }
}

Calculate Synthetic Future Price

synthetic = client.syntheticfuture(
    underlying="NIFTY",
    exchange="NSE_INDEX",
    expiry_date="30JAN25"
)
# Response: {'synthetic_future_price': 26050.05, 'atm_strike': 26000.0, ...}

Get Expiry Dates

expiries = client.expiry(
    symbol="NIFTY",
    exchange="NFO",
    instrumenttype="options"
)
# Returns list of expiry dates: ['30-JAN-25', '06-FEB-25', '13-FEB-25', ...]

Common Index Details

Index	Exchange	Lot Size	Strike Gap
NIFTY	NSE_INDEX	75	50
BANKNIFTY	NSE_INDEX	30	100
FINNIFTY	NSE_INDEX	65	50
MIDCPNIFTY	NSE_INDEX	50	25
SENSEX	BSE_INDEX	20	100
BANKEX	BSE_INDEX	30	100

Strategy Patterns

Weekly Options Selling (Theta Decay)

# Short Strangle - Sell OTM options to collect premium
response = client.optionsmultiorder(
    strategy="Weekly Strangle",
    underlying="NIFTY",
    exchange="NSE_INDEX",
    expiry_date="30JAN25",  # Weekly expiry
    legs=[
        {"offset": "OTM5", "option_type": "CE", "action": "SELL", "quantity": 75},
        {"offset": "OTM5", "option_type": "PE", "action": "SELL", "quantity": 75}
    ]
)

Directional Play with Protection

# Bull Call Spread - Limited risk bullish bet
response = client.optionsmultiorder(
    strategy="Bullish Spread",
    underlying="BANKNIFTY",
    exchange="NSE_INDEX",
    expiry_date="30JAN25",
    legs=[
        {"offset": "ATM", "option_type": "CE", "action": "BUY", "quantity": 30},
        {"offset": "OTM3", "option_type": "CE", "action": "SELL", "quantity": 30}
    ]
)

Event Day Volatility Play

# Long Straddle before results/events
response = client.optionsmultiorder(
    strategy="Event Straddle",
    underlying="RELIANCE",
    exchange="NSE",
    expiry_date="30JAN25",
    legs=[
        {"offset": "ATM", "option_type": "CE", "action": "BUY", "quantity": 250},
        {"offset": "ATM", "option_type": "PE", "action": "BUY", "quantity": 250}
    ]
)

Butterfly Spread (Low Capital)

response = client.optionsmultiorder(
    strategy="Long Butterfly",
    underlying="NIFTY",
    exchange="NSE_INDEX",
    expiry_date="30JAN25",
    legs=[
        {"offset": "ITM2", "option_type": "CE", "action": "BUY", "quantity": 75},
        {"offset": "ATM", "option_type": "CE", "action": "SELL", "quantity": 150},
        {"offset": "OTM2", "option_type": "CE", "action": "BUY", "quantity": 75}
    ]
)

Margin Calculation

Calculate required margin before placing orders:

margin = client.margin(positions=[
    {
        "symbol": "NIFTY30JAN2526000CE",
        "exchange": "NFO",
        "action": "SELL",
        "product": "NRML",
        "pricetype": "MARKET",
        "quantity": "75"
    },
    {
        "symbol": "NIFTY30JAN2525000CE",
        "exchange": "NFO",
        "action": "BUY",
        "product": "NRML",
        "pricetype": "MARKET",
        "quantity": "75"
    }
])

print(f"Total Margin Required: {margin['data']['total_margin_required']}")
print(f"SPAN Margin: {margin['data']['span_margin']}")
print(f"Exposure Margin: {margin['data']['exposure_margin']}")

Notes

Always check available margin before placing option sell orders
Use splitsize parameter for large orders to avoid freeze quantity limits
Weekly options expire on Thursday, monthly on last Thursday
NIFTY lot size is 75, BANKNIFTY is 30
Use Analyzer mode for paper trading: client.analyzertoggle(mode=True)

options-trading

이 저장소의 다른 Skills

OpenAlgo Options Trading

Environment Setup

Quick Start Scripts

Single Leg Options Order

Iron Condor Strategy

Straddle Strategy

Options Symbol Format

Offset System

Core API Methods

1. Single Leg Options Order

2. Multi-Leg Options Order

Iron Condor (4 legs)

Bull Call Spread (2 legs)

Bear Put Spread (2 legs)

Straddle (2 legs)

Strangle (2 legs)

Diagonal Spread (Different Expiries)

Calendar Spread (Same Strike, Different Expiries)

Options Analysis

Get Option Symbol

Get Option Chain

Calculate Option Greeks

Calculate Synthetic Future Price

Get Expiry Dates

Common Index Details

Strategy Patterns

Weekly Options Selling (Theta Decay)

Directional Play with Protection

Event Day Volatility Play

Butterfly Spread (Low Capital)

Margin Calculation

Notes

OpenAlgo Options Trading

Environment Setup

Quick Start Scripts

Single Leg Options Order

Iron Condor Strategy

Straddle Strategy

Options Symbol Format

Offset System

Core API Methods

1. Single Leg Options Order

2. Multi-Leg Options Order

Iron Condor (4 legs)

Bull Call Spread (2 legs)

Bear Put Spread (2 legs)

Straddle (2 legs)

Strangle (2 legs)

Diagonal Spread (Different Expiries)

Calendar Spread (Same Strike, Different Expiries)

Options Analysis

Get Option Symbol

Get Option Chain

Calculate Option Greeks

Calculate Synthetic Future Price

Get Expiry Dates

Common Index Details

Strategy Patterns

Weekly Options Selling (Theta Decay)

Directional Play with Protection

Event Day Volatility Play

Butterfly Spread (Low Capital)

Margin Calculation

Notes

이 저장소의 다른 Skills