add_demo_portfolio_strategy
ChatGPTAdd a strategy to one of the authenticated user's demo portfolios. This is a simulation; no real money is traded.
Overview
VEGA Options helps active options traders analyze strategy risk, review options market structure, and explore possible trade setups using tools for gamma exposure, open interest, volatility zones, risk/reward charts, portfolio tracking, and AI explanations. Use VEGA to better understand how an options strategy may behave before entering a trade, compare possible outcomes, and build a more structured trading plan. Not financial advice. Trading involves risk.
Tools
assess_option_strategy_risk
ChatGPTEvaluate one supplied option leg or multi-leg strategy using live option-chain data.
close_demo_portfolio_strategy
ChatGPTMark a demo portfolio strategy as closed and optionally record exit details. This is a simulation; no real money is traded.
get_demo_portfolio_daily_review
ChatGPTReturn an on-demand daily review of demo portfolio strategies, Greeks, exposure, closures, and data warnings. It is a simulation, not real-money trading.
remove_demo_portfolio_strategy
ChatGPTPermanently remove a strategy from the authenticated user's demo portfolio. This is a simulation; no real money is traded.
run_backtest
ChatGPTRun a structured init/onBar/onEnd strategy and return the complete performance report. Show the template, write the strategy, create a ZIP, and call this tool. Backtest ZIP template (files must be at the ZIP root): Python: strategy-py/strategy.py ``
py def init(context): context.log("initialized") def onBar(bar, context): return [] def onEnd(summary, context): context.log(f"finished: {summary}") ` JavaScript: strategy-js/strategy.js `js function init(context) { context.log("initialized"); } function onBar(bar, context) { return []; } function onEnd(summary, context) { context.log(finished: ${JSON.stringify(summary)}); } module.exports = { init, onBar, onEnd }; ``run_research
ChatGPTRun a free-form research program against raw historical JSONL data and return its final validated JSON. Mandatory GPT workflow: show the template, write the program, create a ZIP, and call this tool. Do not use init/onBar/onEnd for research. Research ZIP template (files must be at the ZIP root): Python: research-py/research.py ``
py import json import os from datetime import datetime dataset_path = os.environ["RESEARCH_DATASET_PATH"] output_path = os.environ["RESEARCH_OUTPUT_PATH"] params = json.loads(os.environ["RESEARCH_PARAMS_JSON"]) date_from = datetime.strptime(params["dateFrom"], "%Y%m%d").date() date_to = datetime.strptime(params["dateTo"], "%Y%m%d").date() with open(output_path, "w", encoding="utf-8") as output: json.dump({"thesis": "replace with findings", "dateRange": {"from": str(date_from), "to": str(date_to)}, "params": params}, output) ` JavaScript: research-js/research.js `js const fs = require("fs"); const params = JSON.parse(process.env.RESEARCH_PARAMS_JSON); const { dateFrom, dateTo } = params; fs.writeFileSync(process.env.RESEARCH_OUTPUT_PATH, JSON.stringify({ thesis: "replace with findings", dateRange: { from: dateFrom, to: dateTo }, params })); ``scan_symbol_for_option_strategies
ChatGPTReturn the best option strategies for one symbol with a simple signature.
scan_symbols_for_option_strategies
ChatGPTFetch live option-chain data, compute GEX/Vanna/OI regime signals, and return deterministic top strategy candidates.
supportedSymbols
ChatGPTCheck requested symbols against the Backtest and Research supported-symbol universe, or search that universe. Use this before run_backtest or run_research.
Capabilities
Writes
