One of the most interesting “smart money” trades we came across yesterday was with SPDR Gold Trust (NYSE: GLD).
If you’re new here, a “smart money” trade is a relatively large volume option trade most likely made by a pro trader. The idea is to analyze unusual options activity, identify an interesting “smart money” trade, and then make our best guess as to:
- Which direction the trader thinks the stock is headed
- How much they think it will rise (or fall), and
- In what time frame this will all happen.
If we like what we see after putting all these pieces together, we can mimic the “smart money” trade (on a smaller scale), and potentially ride alongside our pro trader to profits. With all this in mind…
A Pro Trader Just Bet $1,587,000 that GLD Will Continue to Climb in the Next 7 Months
On Monday, February 14, 2022, a pro trader seems to have bought 2,300 of the September 30, 2022, $179 call options on GLD for $6.90 per contract. Her outlay was $1,587,000.
GLD – Option Trade
The trade’s breakeven point is at $185.90, meaning that GLD needs to rise to $185.90 for the call option trade to break even. This is a nearly 6% upside from the ETF’s previous close of $174.74. And then for every $1 the stock rises above $185.90, our “smart money” trader will make $230,000!
On analyzing the daily chart of GLD, the ETF seems to have broken out of a symmetrical triangle pattern (marked as blue color lines). This breakout level would now act as a strong support area. It is also trading above gap support, which is marked as a pink color dotted line. All this makes it likely that our pro trader is bullish on GLD.
GLD – Daily Chart
This lends credence to our conclusion that the pro bought these call options, as opposed to selling them.
If you agree and would like to mimic this trade, here’s how:
Buy to open the September 30, 2022, $179 call options on GLD for $6.90 or better.
As always, depending on your risk appetite, do remember to set a stop-loss for the options trade to avoid significant losses.
Happy Trading!
— Trades of The Day Research Team
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