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Another backtesting example.⚡️all this data is 19/mo if you get it before July 1st! ⚡️prompt: > I want a dashboard to visualize the backtest of following strategy:>Going long a 30-dte call spread (long atm call, short 0.3 delta call) at the start of each month and closing it at the end of each month.>Lets start out with $SPY.cvforge cooks it up ✅Why can it do this?First of all - AI is really code at writing code. But more importantly:It has historical stock and options data 🔥
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This is so cool. The educational value of cvforge is underrated. For example - you might intuitively know what "earnings volatility" or "post-earnings iv crush means" but its one thing to sort-of know and a different thing to have it decomposed so you can understand it deeply.I asked it this prompt:> $ACN reports earnings this week. What is the implied earnings volatility? How does it compare to non-earnings vol? Give me a dashboard to visualize this.It created a dashboard explaining everything
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In this video we ask cvforge cook up a trade analysis dashboard and then we explore it.It builds a dashboard analyzing the sensitivity of different trade structures to delta/vega/theta and the PnL surface. It lets me test out various scenarios ( price up/down and how much, vol up/down and how much, etc) to see the areas where each trade structure works best.Its wild...prompt:> My thesis is that $SPX will rally +200 through June, vol will fall.> I want a to benefit from the rally but more from th
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Domain and range from graph (practice) | Khan Academy
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Now live on the research plan (19/mo until July 1st!): ✅ financial statements✅ analyst rating✅ news✅ historical stock prices+ and *so* much moreHere an example of how to use that:prompt: Give me $ORCL latest financial statements and earnings. Also analyst ratings and news. I want to understand why it crashed so hard (include a price chart).cvforge cooks it up 🫡
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