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 unsuitable query.
The fitting query will not be “how a lot are you able to earn”, however what really drives the outcome 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 follow.
Then you’ll be able to see how this is applicable to your personal buying and selling — relying on how constantly you’re able to comply with the principles and execute the system.
HOW TO EVALUATE ANY TRADING SYSTEM
To know how the result’s shaped, you solely have to concentrate on two parameters:
- Threat/Reward (RR) — risk-to-reward ratio
- Winrate — share of worthwhile trades
It’s their mixture that determines the ultimate outcome. 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 wonderful. However the ultimate result’s -20$.
So how does that occur?
The reply lies within the parameters constructed into the commerce. On this system (RR = 3:1):
- you threat 30$
- and earn 10$
Then the mathematics is straightforward:
7 × 10$ – 3 × 30$
End result: -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 vary simply to interrupt even.
With the identical variety of trades, you could regulate the RR (for instance RR = 2:1):
- scale back the danger to twenty$
- preserve the revenue at 10$
Then:
7 × 10$ – 3 × 20$
End result: +10$
Right here’s an necessary level most individuals miss. While you improve the danger/reward ratio (RR), trades hit revenue much less usually. In different phrases, the winrate drops.
💣 EXAMPLE 2 (Low winrate — PROFIT)
Now let’s take a look at the alternative scenario. The identical 10 trades:
The winrate is barely 30%. At first look, it seems to be unhealthy.
However we modify the commerce logic (RR = 1:3):
- threat: 10$
- potential revenue: 30$
Let’s calculate:
3 × 30$ – 7 × 10$
End result: +20$
Even with fewer successful 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 outcome doesn’t rely straight on the variety of successful trades. It’s pushed by a couple of robust entries that cowl a collection of losses.
In follow, it seems to be like this:
- it’s possible you’ll spend a part of the time at breakeven or in drawdown
- after which 1–2 trades generate a lot of the outcome
Furthermore, this mannequin doesn’t require a excessive winrate. To interrupt even, round 25% successful trades is sufficient — 1 worthwhile commerce out of three shedding ones already retains you from shedding cash.
These two examples present a easy level. The identical market, the identical variety of trades — however utterly totally different outcomes. All the things is dependent upon what RR and Winrate are constructed into the system.
The query will not be tips on how to improve the variety of successful 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% threat 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 might be improved with out altering RR. That is the place the second degree of the system is available in.
By filtering alerts, weak and low-quality setups are eliminated.
Consequently: fewer shedding trades, greater share of successful 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 concept, let’s take a look at an actual instance.
I’ve been sustaining buying and selling reviews for the indicator since 2023, recording all trades on EURUSD, GBPUSD, AUDUSD.
Let’s take one of many common months — Could 2023. And one pair — EURUSD. Beneath 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 alerts.
Consequently for the month:
- 7 shedding trades
- 3 worthwhile trades
Last outcome: +8.1% for the month on one pair.
This isn’t a most or “excellent” outcome, however one of many regular working durations. In different months, the outcome could also be greater or decrease.
Additionally it is necessary to notice that this instance exhibits just one forex pair. The outcome might be scaled by including extra devices — on this case, the entire outcome turns into the sum of all of them.
Nonetheless, this method additionally has a draw back.
THE MAIN DRAWBACK OF THIS APPROACH
There may be one necessary level that must be addressed.
It isn’t in regards to 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 shedding 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 following sign
- change the method
- or cease buying and selling altogether
The outcome on this system will not be a straight line — it’s a results of self-discipline and consistency.
When you ignore this, it’s possible you’ll by no means attain the trades that truly generate revenue.
HOW THIS IS APPLIED IN PROP CHALLENGES
This method has a key benefit — it suits effectively with PROP corporations.
The rationale lies within the necessities:
- managed threat per commerce
- drawdown management
- potential to ship constant outcomes over time
On this mannequin, what issues will not be the variety of successful trades, however the predictability of outcomes.
All the things comes down to 1 factor: how constantly you execute the principles and choose trades.
HOW LONG DOES IT TAKE TO PASS A PROP CHALLENGE
There isn’t a fastened timeline.
The problem is accomplished via particular trades, not time.
In follow, you undergo a sequence of trades, and sooner or later 1–2 setups generate the principle outcome.
This will occur shortly or take longer — per week, two, or extra.
All of it is dependent upon whether or not the market supplies such alternatives.
- both via 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 chunk will occur.
However when it does — the outcome comes without delay.
And attempting to drive it solely wastes assets.
Buying and selling works the identical approach. If there aren’t any correct situations, attempting to drive outcomes solely results in pointless trades and elevated threat.
Chances are you’ll merely not final lengthy sufficient to succeed in the trades that truly generate revenue.
That’s the reason within the Owl Good Ranges system, the aim will not be fixed buying and selling, however deciding on solely the fitting situations.
Key benefit:
Not like 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 will not be 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 follow:
