Profitable Traders Have This In Common...

Key Concepts

• H (Edge): A repeatable action in trading that yields profit over time, also known as positive expectancy.
• Positive Expectancy: The mathematical expectation of profit from a trading strategy over a series of trades.
• Expectancy Formula: E = (Winning Percentage * Average Gain) - (Losing Percentage * Average Loss)
• Winning Rate: The percentage of trades that result in a profit.
• Average Gain: The average profit amount per winning trade.
• Losing Percentage: The percentage of trades that result in a loss (100% - Winning Percentage).
• Average Loss: The average loss amount per losing trade.
• Risk-to-Reward Ratio: The ratio of potential profit to potential loss on a trade.

Defining an "H" (Edge) in Trading

The core concept presented is the necessity of having an "H," or an "edge," in one's trading system or strategy. An "H" is defined as something that is done repeatedly and consistently yields a profit over time. This is synonymous with having a "positive expectancy." The speaker strongly advises against using numerous indicators, likening a system with too many indicators to a "Christmas tree" rather than a functional strategy.

The Mathematical Formula for Expectancy

The video introduces a mathematical formula to define and quantify an "H" or expectancy (E):

E = (Winning Percentage * Average Gain) - (Losing Percentage * Average Loss)

This formula is presented as straightforward, understandable even by a young person.

Example Calculation

An illustrative example is provided to demonstrate the application of the expectancy formula:

• Winning Rate: 70%
• Average Gain: $80
• Losing Rate: 30% (calculated as 100% - 70%)
• Average Loss: $100 per trade

Plugging these values into the formula:

E = (0.70 * $80) - (0.30 * $100) E = $56 - $30 E = $26 per trade

Interpretation of the Result

The calculated expectancy of $26 per trade signifies that, on average, a trader can expect to earn $26 for every trade executed using this specific system. If 100 trades were taken, the total expected profit would be approximately $2600 (100 trades * $26/trade).

Significance of Positive Expectancy

The crucial takeaway is that the expectancy (E) must be positive. If the expectancy is negative, the trading system is unprofitable, and the more trades are taken, the more money will be lost.

The Interplay of Winning Rate and Risk-to-Reward Ratio

A key argument presented is that neither the winning rate nor the risk-to-reward ratio is more important than the other; they are equally important and must be considered in combination.

Why Winning Rate Alone is Insufficient

• A very high winning rate (e.g., 90% or 95%) can still lead to an unprofitable system if the average loss significantly outweighs the average gain.
• Example: Winning $1 on 90% of trades but losing $100 on the remaining 10% would result in a net loss.

Why Risk-to-Reward Ratio Alone is Insufficient

• An excellent risk-to-reward ratio (e.g., risking $1 to make $3) is also insufficient if the winning rate is too low.
• Example: A 10% winning rate, even with a favorable risk-to-reward ratio, would likely result in an unprofitable trading system due to the high frequency of losses.

Conclusion: The Necessity of Combining Metrics

To determine if a trading system possesses an "H" or positive expectancy, both the winning rate and the risk-to-reward ratio must be analyzed and combined. Neither metric in isolation is sufficient to guarantee profitability. The formula for expectancy mathematically integrates these two critical components.