Most individuals are searching for the reply to 1 query: how a lot are you able to earn.
However in buying and selling, that is the mistaken query.
The best query just isn’t “how a lot are you able to earn”, however what really drives the consequence and what vary it operates in.
On this article, I’ll present what potential is constructed into the Owl Good Ranges system and what drives its efficiency in apply.
Then you’ll be able to see how this is applicable to your individual buying and selling — relying on how constantly you’re able to observe the foundations and execute the system.
HOW TO EVALUATE ANY TRADING SYSTEM
To grasp how the result’s shaped, you solely have to deal with two parameters:
Threat/Reward (RR) — risk-to-reward ratio Winrate — proportion of worthwhile trades
It’s their mixture that determines the ultimate consequence. On the similar time, most individuals focus solely on winrate — what number of trades shut in revenue. However by itself, this metric ensures nothing.
💣 EXAMPLE 1 (Excessive winrate — LOSS)
Let’s break it down with a easy instance of 10 trades:
7 closed in revenue 3 in loss
Appears to be like effective. However the ultimate result’s -20$.
So how does that occur?
The reply lies within the parameters constructed into the commerce. On this system (RR = 3:1):
you danger 30$ and earn 10$
Then the maths is straightforward:
7 × 10$ – 3 × 30$Consequence: -20$
That is the place it turns into clear: even with a excessive winrate, you’ll be able to constantly lose cash.
Now let’s see what wants to alter simply to interrupt even.
With the identical variety of trades, it is advisable to modify the RR (for instance RR = 2:1):
cut back the chance to twenty$ hold the revenue at 10$
Then:
7 × 10$ – 3 × 20$Consequence: +10$
Right here’s an vital level most individuals miss. While you improve the chance/reward ratio (RR), trades hit revenue much less typically. In different phrases, the winrate drops.
💣 EXAMPLE 2 (Low winrate — PROFIT)
Now let’s have a look at the alternative scenario. The identical 10 trades:
The winrate is just 30%. At first look, it appears dangerous.
However we alter the commerce logic (RR = 1:3):
danger: 10$ potential revenue: 30$
Let’s calculate:
3 × 30$ – 7 × 10$Consequence: +20$
Even with fewer profitable trades, the general result’s constructive. That is precisely the place the reply to the query “how a lot are you able to earn” comes from.
On this mannequin, the consequence doesn’t rely instantly on the variety of profitable trades. It’s pushed by a couple of robust entries that cowl a collection of losses.
In apply, it appears like this:
chances are you’ll spend a part of the time at breakeven or in drawdown after which 1–2 trades generate a lot of the consequence
Furthermore, this mannequin doesn’t require a excessive winrate. To interrupt even, round 25% profitable trades is sufficient — 1 worthwhile commerce out of three dropping ones already retains you from dropping cash.
These two examples present a easy level. The identical market, the identical variety of trades — however fully completely different outcomes. Every part is dependent upon what RR and Winrate are constructed into the system.
The query just isn’t the way to improve the variety of profitable trades, however what risk-to-reward ratio is behind them.
That is precisely the mannequin behind Owl Good Ranges.
WHAT RR IS BUILT INTO OWL SMART LEVELS
Within the Owl Good Ranges system, the core logic relies on RR = 1:3. The bottom construction is 1% danger to three% revenue.
This basis doesn’t change. Due to RR = 1:3, even with a comparatively low winrate, the system can stay worthwhile.
However the winrate will be improved with out altering RR. That is the place the second degree of the system is available in.
By filtering indicators, weak and low-quality setups are eliminated.
Because of this: fewer dropping trades, greater share of profitable ones.
That is what drives a lot of the efficiency, as a result of it strengthens an already worthwhile mathematical basis.
HOW IT LOOKS WITHOUT FILTERING
To maneuver past idea, let’s have a look at an actual instance.
I’ve been sustaining buying and selling stories for the indicator since 2023, recording all trades on EURUSD, GBPUSD, AUDUSD.
Let’s take one of many common months — Might 2023. And one pair — EURUSD. Under is a desk of all trades for that interval.
Vital: at the moment, there was no filtering system. It was simply an indicator and its indicators.
Because of this for the month:
7 dropping trades 3 worthwhile trades
Ultimate consequence: +8.1% for the month on one pair.
This isn’t a most or “excellent” consequence, however one of many regular working intervals. In different months, the consequence could also be greater or decrease.
Additionally it is vital to notice that this instance exhibits just one forex pair. The consequence will be scaled by including extra devices — on this case, the entire consequence turns into the sum of all of them.
Nevertheless, this strategy additionally has a draw back.
THE MAIN DRAWBACK OF THIS APPROACH
There may be one vital level that must be addressed.
It isn’t concerning the system logic, however about how it’s perceived throughout buying and selling.
With a 1:3 risk-to-reward ratio, you’ll inevitably face dropping streaks. This can be a regular a part of the method. However psychologically, that is exhausting to deal with.
At such moments, it could really feel just like the system has stopped working, which ends up in the urge to:
skip the subsequent sign change the strategy or cease buying and selling altogether
The consequence on this system just isn’t a straight line — it’s a results of self-discipline and consistency.
If you happen to ignore this, chances are you’ll by no means attain the trades that really generate revenue.
HOW THIS IS APPLIED IN PROP CHALLENGES
This strategy has a key benefit — it suits properly with PROP companies.
The explanation lies within the necessities:
managed danger per commerce drawdown management capability to ship constant outcomes over time
On this mannequin, what issues just isn’t the variety of profitable trades, however the predictability of outcomes.
Every part comes down to 1 factor: how constantly you execute the foundations and choose trades.
HOW LONG DOES IT TAKE TO PASS A PROP CHALLENGE
There isn’t a mounted timeline.
The problem is accomplished by way of particular trades, not time.
In apply, you undergo a sequence of trades, and in some unspecified time in the future 1–2 setups generate the principle consequence.
This may increasingly occur shortly or take longer — every week, two, or extra.
All of it is dependent upon whether or not the market supplies such alternatives.
both by way of a brief collection of robust trades or over an extended interval with a number of makes an attempt
This can be a regular a part of the mannequin.
METAPHOR
This technique is like fishing. You don’t know precisely when the chew will occur.
However when it does — the consequence comes without delay.
And making an attempt to pressure it solely wastes sources.
Buying and selling works the identical approach. If there are not any correct situations, making an attempt to pressure outcomes solely results in pointless trades and elevated danger.
You might merely not final lengthy sufficient to succeed in the trades that really generate revenue.
That’s the reason within the Owl Good Ranges system, the objective just isn’t fixed buying and selling, however deciding on solely the correct situations.
Key benefit:
In contrast to fishing, the place the variety of rods is restricted, in buying and selling you’ll be able to work with a number of devices concurrently.
This considerably will increase the likelihood of catching alternatives.
However the precept stays the identical — you solely act when situations match the system.
SUMMARY
Now you perceive what drives leads to Owl Good Ranges.
The query just isn’t how a lot you’ll be able to earn, however how constantly you’ll be able to execute this mannequin.
The construction is already there — your job is to execute it.
If you wish to discover how the system works in apply:
