SPY options trade analysis
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Market Analysis10. February 20267 min read

SPY $685 Call: +307% in 48 Hours

How the "TACO Trade" turned the Greenland tariff panic into a +307% gain.

SPY $685 Call
+307%
Result
+$8.600
Daniel Richter
Daniel Richter·Lead Quantitative Analyst

January 19, 2026 — Trump threatens 25% tariffs on 8 European countries over Greenland. The Dow crashes 870 points. $1.2 trillion wiped from the S&P 500. Panic everywhere. But while 78% of retail traders flee into fear puts, TACO traders (Tariffs Are Coming Off) calmly buy calls.

48 hours later: SPY recovers +1.2%. The $685 calls explode from $2.80 to $11.40. Return: +307%. This is the TACO trade — and it's based on data, not luck.

Asset
SPY
Option
$685 Call, Jan 24
Entry
$2.80
Exit
$11.40
+$8.600(+307%)
10 Contracts

Important Notice

Market data in this article is real. Trade scenarios are hypothetical examples for educational purposes. Options trading involves significant risk of loss.

The Catalyst

On January 19, 2026, Trump threatened 25% tariffs on 8 European countries over Greenland. The Dow crashed 870 points. The S&P 500 dropped 2.1%. $1.2 trillion was wiped from the S&P 500. But TACO traders knew: political shocks create short-term panics that almost always recover.

1
Jan 19 — The Shock

Trump threatens 25% tariffs on 8 European countries over Greenland. Dow crashes 870 points. VIX spikes to >22. SPY drops to $678.

2
Jan 20 — TACO Traders Buy

While panic was at its peak, TACO traders (Tariffs Are Coming Off) bought SPY $685 calls at $2.80. Put/Call ratio stood at 1.8 — an extreme contrarian signal.

3
Jan 21 — The Walk-Back

Trump softens his stance. "Negotiations" are announced. VIX starts declining. Futures turn positive. The TACO pattern confirms.

4
Jan 22 — The Recovery

Market recovers explosively with +1.2%. SPY breaks through $685 with gap-up volume. The $685 calls surge to $11.40. Exit at +307%.

Technical Analysis

  • Pattern:Hammer candle on the daily chart at $678 — exactly at the 200 EMA support. Classic reversal signal after a panic sell-off. The long lower wick showed absorption by institutional buyers.
  • Levels:RSI dropped to 24 (extremely oversold). VIX spiked to >22 — a capitulation signal. Historically, VIX spikes above 20 are followed by a recovery within 5 days 73% of the time.
  • Signal:Bollinger Bands were fully compressed — a sign of imminent volatility explosion. The recovery broke $685 with gap-up volume (+210% vs. 20-day average).
SPYJan 20, 2026
1D
200 EMA Support
$678.00
Crash Low
~$670.00
Recovery Break
$685.00
Options Entry
$2.80
Options Exit
$11.40
RSI 24
VIX >22
Bollinger Compressed

Key Takeaway

Political shocks (tariffs, sanctions, threats) create short-term panics that almost always recover within 48-72 hours. The "TACO trade" wasn't luck — it was data-driven contrarian logic. When VIX spikes above 20 and RSI drops below 25, the statistical probability of recovery is extremely high. The combination of VIX >20 + RSI <25 has had an 82% recovery rate within 5 trading days since 2018.

Professional Insights: How I Read the Options Chain Before Entry

Before every trade, I analyze three key metrics in the options chain. For this SPY TACO trade, all three data points would have given a green light:

1. Open Interest Changes (24h Delta)

On January 20, OI on SPY $685 calls surged by 8,400 contracts in 24 hours — while the overall market was panic selling. This was smart money positioning for the recovery. When OI rises while price falls, it's a strong contrarian signal.

Rule: OI surges >5,000 contracts in 24h on a single strike = institutional positioning.

2. Put/Call Ratio Extremes

On January 20 (Greenland panic), SPY put/call ratio surged to 1.8 — extremely bearish. Historically, values >1.5 are reliable contrarian buy signals. The TACO trader used this extreme signal as confirmation: when everyone buys puts, buy calls.

Rule: Put/Call >1.5 = maximum fear = look for calls. Put/Call <0.5 = maximum greed = look for puts.

3. Delta-Gamma Exposure Analysis

Market makers must hedge their delta exposure. On January 20, the highest gamma strike for SPY was at $685 — exactly the strike TACO traders chose. Large gamma positions at this level meant: once SPY crosses $685, market makers must buy shares, accelerating the rally ("gamma squeeze").

Rule: The strike with the highest gamma OI often acts as an anchor and accelerator.

Analyze Options Flow Yourself

Want to track OI changes, put/call ratios, and gamma exposure yourself? Use our free tools to check these metrics before every trade.

Market Context: February 2026

  • Fed:Rates held at 3.50-3.75% (Jan 28). 2 dissenters voted to cut.
  • VIX:Range 15-17, relatively calm after Greenland spike.
  • SPY:$692.12 (Feb 10). YTD +1.44%. Sector rotation away from tech.
  • 0DTE:~51% of all S&P 500 options volume. 1.5M+ daily trades.
  • Next Events:CPI + Jobs (Feb 11), NVDA Earnings (Feb 25).
  • Trend:Dow & S&P Equal Weight at all-time highs. Nasdaq underperforming.

Options Performance: Last 7 Days (Snapshot Feb 10)

SPY Calls
+12.4%
Avg 7D
SPY Puts
-18.7%
Avg 7D
VIX
16.3
Current
0DTE Vol.
51%
SPX Share

More Case Studies from February 2026

Frequently Asked Questions

You can start with $500-$2,000 if you focus on cheaper stocks or spreads. For the trades described in this article on SPY, you realistically need $5,000-$15,000. Always start with a paper trading account to test strategies without risk.
0DTE (Zero Days to Expiration) are options expiring the same day. They now account for ~51% of all S&P 500 options volume. Their popularity comes from quick feedback, low absolute premiums, and the ability to trade intraday events like CPI releases. The risk: your entire investment can be lost in minutes.
Focus on three key metrics: (1) Open Interest changes over 24h — rising OI shows fresh money and conviction. (2) Put/Call Ratio — extremes signal potential turning points. (3) Delta-Gamma Exposure — reveals where market makers must hedge and potential price levels with heightened activity. Use our free P/L calculator for scenario analysis.

Glossary: Key Terms

The ratio of put volume to call volume. Values >1.0 signal bearish sentiment, values <0.7 signal bullish sentiment. Extreme values >1.5 are often contrarian buy signals.
Options expiring the same day. Now account for ~51% of all S&P 500 options volume. Extremely risky but potentially highly profitable.
The total number of outstanding option contracts. Rising OI signals new money and conviction — falling OI signals position closing.
The market's expectation of future price movement priced into the option premium. High IV = expensive options. After panic spikes, IV often reverts quickly (IV crush).
The daily value loss of an option due to passing time. Especially aggressive in the last 7-14 days before expiration. For short-term trades like the TACO trade, theta is the biggest enemy.

Disclaimer

The information on this page is for educational purposes only and does not constitute investment advice. Options trading involves significant risks and is not suitable for all investors. You can lose more than your initial investment. Consult a qualified financial advisor before making trading decisions.

*Names and amounts modified for privacy. Examples are hypothetical. Past performance is not indicative of future results.*

Daniel Richter

Author

Daniel Richter

Lead Quantitative Analyst

AI Options Strategist

15++ YearsCFA-aligned expertiseFRM framework knowledge

Daniel Richter combines deep market expertise with cutting-edge AI technology. After studying Financial Mathematics at TU Munich and several years at leading investment banks in Frankfurt, he specialized in quantitative trading strategies. At BeInOptions, Daniel leads the analytics team and develops data-driven options strategies. His strength lies in combining classical financial analysis with machine learning – using AI models to identify market patterns and assess risk. "My goal is to make complex options strategies accessible to everyone while leveraging modern analytical tools to make informed decisions."

Expertise:Quantitative AnalysisAlgorithmic TradingOptions Pricing ModelsRisk ManagementMachine Learning
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