Backtest, scan, analyze, and trade options with institutional quality web tools, APIs, and historical data from ORATS.

Joined June 2010
2,037 Photos and videos
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Introducing the top 10 tools in your ORATS options trading dashboard - Whether you're a beginner or an experienced trader, these tools will enhance your trading strategy and decision-making process: #options #trading #backtesting #scanning #orats
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$QQQ owns 100 stocks. But during the recent selloff, ORATS data showed it behaving much more like one concentrated trade. The useful question is not how many names are in the index. It is how independently those names are moving. We broke down why $QQQ’s diversification benefit weakened, what the IV / component-IV ratio shows, and why that matters for options traders: orats.com/blog/nasdaq-100-co…
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Option Research retweeted
A market top does not announce itself. But the options market can start leaking warning signs. In Episode 135, Matt and Tyler show how ORATS uses implied volatility, relative IV, and contango to identify “be careful” territory before market stress becomes obvious.
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Option Research retweeted
$ORCL a massive 12.3% straddle ahead of earnings tonight... spiciest in at least 3 years per @optionrats
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QQQ owns 100 stocks. But during the recent selloff, ORATS data showed it behaving much more like one concentrated trade. The useful question is not how many names are in the index. It is how independently those names are moving. We broke down why QQQ’s diversification benefit weakened, what the IV / component-IV ratio shows, and why that matters for options traders. orats.com/blog/nasdaq-100-co…

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ORATS just launched an intraday options backtester. Why that matters: you can now backtest intraday strategies on any symbol with weeklies, not just a limited set of names. Episode 134 shows how it works, why that’s a breakthrough, and what it opens up for shorter-dated options research.
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What if your AI could do more than answer one question? In Episode 133, Matt and Tyler show how the ORATS CLI can help turn Claude into an options research agent that explains IV, compares stress across tickers, remembers preferences, and builds morning briefings from ORATS data.
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Earnings this week: Implied move vs historical average Current Implied > Historical Move Average: HPE: 10.6% vs 5.5% (1.93x) FUTU: 7.6% vs 4.4% (1.72x) XPEV: 10.2% vs 6.0% (1.71x) ZS: 11.8% vs 7.5% (1.58x) CRM: 8.1% vs 6.0% (1.36x) Current Implied < Historical Move Average: MDB: 14.8% vs 19.2% (0.77x) GAP: 10.6% vs 13.8% (0.77x) DG: 8.4% vs 10.1% (0.83x)
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A new AI tool can get you to a backtest faster. This episode is about what comes next: checking the structure, refining the inputs, optimizing the timing, and deciding whether the trade belongs in paper trading or autotrading.
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Reuters cited ORATS data on Nvidia earnings, with Matt Amberson noting: “I think investors have become complacent about AI/capex.” NVDA options imply a 6.5% earnings move. ORATS data shows the historical average is 7.6%. orats.com/blog/orats-reuters…

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Same earnings season. Different setups. Cisco looked rich on the call side. Alibaba looked cheaper in ex-earnings vol. Episode 131 shows how ORATS helps traders tell the difference and structure trades around it.
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Option Research retweeted
$PLTR 9.0% implied move post-earnings @Optionrats
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What if your options API had a terminal interface built for AI agents? In Episode 130, Matt and Tyler introduce the new ORATS CLI, showing how it can replay market events, analyze earnings, scan data, and generate custom outputs through Claude or Codex.
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Option Research retweeted
Implied moves post-earnings: $GOOGL 5.4% $MSFT 6.9% $AMZN 3.2% $META 7.0% @optionrats
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Option Research retweeted
$TSLA just a 5.6% implied stock price swing after earnings tomorrow, per @optionrats
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40 TB of data is one thing. Useful 40 TB is another. In Episode 129, Matt and Tyler walk through ORATS hard drive delivery, including ten years of intraday history, smoothed market values, and why processed data matters more than raw files alone.
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40TB of options data sounds powerful. Until you try to download it. ORATS delivers institutional-scale data directly, so your models can actually use it. Delivered. Not downloaded.
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40TB of options data, delivered ready to use. No bottlenecks. No waiting. orats.com/hard-drive-deliver…

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