Tools, research, and automation for smarter options trading.
Unusual options activity can highlight contracts attracting exceptional trading interest, but large volume is not automatically a bullish or bearish signal. See what unusual activity can reveal, what remains unknown, and how to investigate it before considering a trade.
IV rank and IV percentile can both help put current implied volatility into historical context, but they answer different questions. Understand how each metric works, why extreme volatility can affect the comparison, and how to use both when researching an options trade.
Finding an attractive stock setup does not automatically make the corresponding option a good trade. Build a repeatable research process around liquidity, volume, open interest, implied volatility, expiration, strike selection, events, and position risk before entering.
TradingView and TrendSpider can both support options research, but they approach trade discovery differently. Compare their charting, scanning, technical analysis, alerts, and workflows to see how each fits into the process before contract selection.
TrendSpider can help options traders narrow a large stock market into a focused list of potential setups. See how scanning, technical analysis, and alerts can fit into an options research workflow before contract selection begins.
TradingView can help options traders analyze underlying stocks, organize watchlists, use technical indicators, and create alerts around potential setups. See where it fits in an options trading workflow and where separate options analysis is still required.
Scanning for options trades starts with the underlying stock, not the option contract. Learn how to turn a trading idea into measurable filters, narrow the market, review candidates, and decide which setups deserve deeper options analysis.
A useful stock scanner does more than produce a long list of symbols. Learn how options traders can evaluate scanners for liquidity, trend, momentum, volatility, technical conditions, alerts, and a workflow that turns a large market into a manageable watchlist.
A profitable backtest does not tell the whole story. Learn how drawdown, profit factor, expectancy, win rate, average wins and losses, trade count, and other metrics can reveal how an options strategy actually behaved.
A strong options backtest can weaken when a strategy meets live markets. Learn how slippage, fill assumptions, liquidity, overfitting, and changing conditions can create a gap between historical testing and real execution.