Martingale: in chains, defeated, serving the good

Martingale: in chains, defeated, serving the good

I will tell you about the trick that we use in EDVI trade to improve the profitability of some trading bots.
It’s called “Risk Limit.”

  1. The essence of Risk Limit is to replace fixed risk with smaller risk, but with the application of a conservative multiplier after a loss.
  2. The key feature is the presence of a strict limit above which the risk will not rise. This limit should also remain in the low-risk zone.

Let me explain with an example.
Let’s imagine that in each trade we risk a fixed 2% of the deposit. We want to apply Risk Limit!

Here’s how we do it:

  • Reduce the risk to 1%.
  • Apply a multiplier of x1.2 after each losing trade.
  • Return to 1% after the first profit.
  • Set the upper limit at 3% and do not risk more under any circumstances! We maintain this percentage until the first profit.

The resulting risk range, rounded to tenths, looks like this:
1%, 1.2%, 1.4%, 1.7%, 2.1%, 2.5%, 3%.
What are the advantages compared to a fixed risk of 2%?

1️⃣ The initial risk is lower, which means lower leverage, commissions, and other associated costs.
2️⃣ Most trades close at the initial steps. Few reach risks of 2-3%, which is also not critical.
3️⃣ Smoothed income pattern. Higher recovery factor and other qualitative characteristics of the trading system.

I will supplement with an illustration in the screenshots.

Screenshot 1 (fixed risk).
A regular breakout on Ethereum, D1.
Take to stop 4 to 2. Risk per trade: 2% of the deposit.
What do we get?
Stable earnings in the bull market of 2020-2021, a sad loss in the bear market and sideways market of 2022-2023.

Screenshot 2 (RISK LIMIT).
The same strategy.
Initial risk: 1%. Multiplier x1.2 after a loss. Limit at 3%.
What do we get?
Earnings stabilized throughout the entire period. A near-zero (“trash”) strategy turned into a profitable one.

Risk Limit is a versatile, profitable, easily scalable technique. It can be applied in both algorithmic trading and manual trading.

July 1, 2024

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Author: Ed Khan

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