Trade Options Like a Casino (Consistent Profits)

Key Concepts

• Positive Expectancy: A trading strategy designed to have a statistical edge, ensuring long-term profitability.
• Negative Expectancy: A trading strategy where the odds are stacked against the trader, leading to likely losses.
• Risk-Reward Ratio: The relationship between potential profit and potential loss on a trade (in this case, 1:2).
• Delta: A measure of an option's sensitivity to changes in the underlying asset's price, used to assess probability of profit.
• Debit Spread (Put Debit Spread): An options strategy involving buying one option and selling another at a different strike price, requiring an initial cash outlay.
• Expectancy Formula: A calculation to determine the average profit or loss per trade based on win rate, profit per win, and loss per loss.
• Casino Model: The concept of professional traders structuring their strategies to operate like a casino, ensuring a statistical edge.

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The Casino Model of Professional Options Trading

This presentation by Seth Freyberg, Head Trader at SMB Capital’s Options Trading Desk, details how professional options traders emulate the business model of a casino to achieve consistent profitability. The core principle is establishing a positive expectancy – a statistical edge that guarantees long-term gains, despite short-term fluctuations.

I. The Illusion of Gambling vs. Professional Trading

Freyberg acknowledges the perception that trading is akin to gambling, admitting that luck plays a role, particularly in the short term. However, he emphasizes that casinos consistently win not through luck, but through a rigged system – a positive expectancy. The casino doesn’t rely on individual wins; it profits from the aggregate of many bets, leveraging a built-in statistical advantage. He states, “The house always wins,” highlighting the casino’s guaranteed profitability. This is achieved by attracting gamblers through incentives (free food, entertainment) knowing that the volume of bets will ultimately favor the house.

II. Understanding Casino Edge: The Roulette Example

The presentation uses the roulette wheel as a concrete example. While players perceive a 50/50 chance on red/black bets, the presence of zero and double zero slots creates a casino edge of 5.4%. Specifically:

• 38 total slots: 18 red, 18 black, 2 green (0 & 00).
• Player’s win probability: 47.3%
• Casino’s win probability: 52.7%
• Casino’s edge: 5.4% – meaning the casino earns 5.4 cents for every dollar bet over the long run.

This illustrates how even a small percentage edge, compounded over a large volume of bets, generates substantial profits for the casino. The casino’s profitability isn’t dependent on individual player losses, but on the overall statistical advantage.

III. Why Most Options Traders Lose Money

Freyberg asserts that 90% of options traders lose money, attributing this to a lack of a defined plan or strategy. Traders often act on rumors, emotions, or unsubstantiated opinions, failing to understand the underlying probabilities. Buying call options based solely on bullish sentiment, without considering the statistical likelihood of success, is presented as a prime example of gambling.

IV. The Hasbro Example: A Losing Trade Despite a Correct Prediction

A case study involving Hasbro (HAS) stock demonstrates this point. A trader, believing Hasbro would rally, purchased an 87.50 call option expiring in 46 days for $1.40. While the stock did rally, it closed at 86.20 on the expiration date, resulting in the option expiring worthless and a 100% loss of the $140 investment.

• Strike Price: 87.50
• Delta: 29.47% (probability of closing above 87.50)
• Actual Closing Price: 86.20
• Outcome: Complete loss despite a bullish prediction.

This example highlights that even being “right” about the direction of the stock doesn’t guarantee profit when trading options without understanding the probabilities and associated risks. The trader essentially gambled, unaware of the 70.53% chance of losing their investment.

V. Replicating the Casino Model: Professional Options Strategies

Professional traders, unlike gamblers, focus on developing and rigorously testing strategies with a demonstrable statistical edge. They aim to replicate the casino model by:

• Developing Repeatable Strategies: Identifying strategies that can be consistently applied based on specific triggers.
• Backtesting: Analyzing historical data to validate the strategy’s profitability over extended periods.
• Maintaining a Positive Expectancy: Ensuring the strategy has a statistical edge, similar to the casino’s 5.4% advantage.

VI. A Specific Strategy: The Put Debit Spread Example

The presentation details a specific bearish strategy employed by a trader on the desk: a put debit spread. Using the S&P 500 index as an example (March 29, 2018):

1. Bearish Trigger: The trader’s proprietary indicator signaled a bearish outlook.
2. Option Selection:
   • Bought a 2700 Put: Delta of 76.61, cost $77.25 per contract ($7,725 total).
   • Sold a 2565 Call: Delta closest to 25, sold for $16.40 per contract ($1,640 total).
3. Net Cost: $6,085
4. Profit Target: 15% of the initial investment ($912.75).
5. Maximum Loss: 7.5% of the initial investment ($450).

The trade was closed when the profit target was reached (at 10:15 AM, realizing a profit exceeding 15%) due to a market sell-off.

VII. The Power of Risk-Reward Ratio

The key to this strategy’s success lies in its favorable risk-reward ratio. The trader aims for a profit target double the maximum loss. This means:

• Win Rate: 60%
• Loss Rate: 40%
• Profit per Win: $900 (15% of $6,000)
• Loss per Loss: $450 (7.5% of $6,000)

Even with a 50/50 win rate, the 2:1 risk-reward ratio ensures profitability. The expectancy formula confirms this:

• Expectancy = (Win Probability x Profit per Win) – (Loss Probability x Loss per Loss)
• Expectancy = (0.60 x $900) – (0.40 x $450) = $360 per trade

This demonstrates that the strategy is designed to generate a positive return over a statistically significant number of trades.

VIII. Conclusion: Trading as a Business

Freyberg concludes by emphasizing that professional options traders approach trading as a business, not a gamble. They prioritize developing and implementing strategies with a proven statistical edge, managing risk effectively, and maintaining discipline. The goal is to replicate the casino model – ensuring a consistent, long-term profit by leveraging a positive expectancy and a favorable risk-reward ratio. He encourages viewers to analyze their own trading approaches and strive for the same level of rigor and discipline.