$4.5M Funded 🇺🇸🇩🇪🇦🇪 | full-time trader 4+ years | discipline over emotions | sharing my journey
Joined November 2023
- Tweets1.7K
- Following324
- Followers3.1K
- Likes2K
Pinned Tweet
As promised, here is the exact plan I used to scale my prop firm portfolio to $6.9M.
Instead of pushing one account to the limit, I focused on building a portfolio so I could reduce risk per account by spreading trades across more capital.
The process was simple:
• pass challenges
• secure funded accounts
• keep risk consistent and gradually reduce it as the portfolio grows
• reinvest 100% of payouts into new accounts
I ranked prop firms based on my overall evaluation and experience and worked through the list from top to bottom, scaling each one to its max allocation.
As more funded accounts were added, risk per trade had to be reduced to avoid concentration risk when trading them simultaneously.
My recommendation:
• 0.75% – 1% risk in challenge phases
• 0.5% – 0.75% in funded stages
I attached a PDF with the full prop firm ranking and the exact scaling structure so I can provide as much value as possible.
I hope this can help some of you on your journey.
If you have any questions, feel free to reach out!
Robin
One thing that’s massively underrated in trading:
Time away from the charts.
Recovery matters.
Clearing your head matters.
I took this weekend to completely switch off and spend a few days skiing in Austria.
No charts.
No analysis.
No trading.
Just 4 days of complete mental reset.
The week itself was very successful as well — realized around +3R across roughly 70% of the portfolio.
But after a good week, the best thing you can sometimes do is simply step away.
Trading doesn’t have to be on your mind 24/7.
A fresh mind makes better decisions.
Hope you all have a great weekend.
Take some time away from the charts.
5
66
1,845
Don’t overcomplicate trading.
Most consistently profitable traders I know aren’t doing anything crazy.
No 1:10 RR setups.
No constantly changing strategies.
No need to reinvent the market every week.
Usually it comes down to:
• a simple, repeatable strategy
• realistic risk-to-reward
• knowing your statistics
• proper risk management
• quality over quantity
• consistent execution
• protecting capital once funded
That’s it.
Know your edge.
Know what your strategy can statistically produce.
Know what a normal losing streak looks like.
Then execute it over and over again.
The more data you have, the less you should need to overthink every individual trade.
For me, the goal has always been to make the process as simple and reproducible as possible.
Simple doesn’t mean easy.
It means removing unnecessary decisions.
And over the long run, that’s what creates consistency.
Keep it simple. Know your numbers. Execute the plan.
Key Principle #5: Once funded, think like a portfolio manager.
Getting funded changes the objective.
You’re no longer trying to prove that you can hit a target.
You’re trying to protect capital, manage exposure and create consistent payouts over time.
That’s why I look at my funded accounts as one overall portfolio.
I focus on:
• reducing risk after getting funded
• spreading exposure across different firms
• rotating between different strategies
• avoiding concentration in one setup or one market idea
• keeping enough drawdown buffer across every account
For me, funded risk usually sits around 0.5–0.75% per trade.
The goal is not to maximize the return of one account.
The goal is to make the entire portfolio more stable.
One strategy can have a weaker month.
One firm can have temporary issues.
One account can go into drawdown.
But none of those things should threaten the whole portfolio.
That’s the mindset shift.
Once you manage larger funded capital, you shouldn’t think like a challenge trader anymore.
You should think like a portfolio manager allocating risk across multiple sources of return.
Protect the capital first.
The payouts come after.
Key Principle #3: Risk Management comes first.
You can have a great strategy.
You can have a strong win rate.
You can have perfect entries.
But if your risk management is bad, none of it matters.
For me, risk is always adjusted to the account stage.
During challenges:
• usually 0.75–1% risk per trade
Once funded:
• usually around 0.5–0.75%
Why reduce risk after getting funded?
Because the objective changes.
During a challenge, the goal is to reach a fixed profit target while staying within the rules.
Once funded, the goal is completely different:
Protect the account.
Stay funded.
Generate payouts over a long period of time.
That’s also why I always look at the statistics behind each strategy.
I want to know:
• expected losing streaks
• maximum historical drawdown
• trade frequency
• correlation between positions
• how much buffer the account structure gives me
If one of my models can statistically produce 5–7 consecutive losses, my risk needs to be low enough that this scenario doesn’t threaten the account.
That’s the whole point.
Risk management isn’t about maximizing how much you can make on the next trade.
It’s about making sure you’re still in the game after the next 50.
Key Principle #2: Quality over Quantity.
One of the biggest changes in my trading over the last 4.5 years:
I stopped trying to trade more.
And started trying to trade better.
For me, that usually means around 1–2 trades per strategy per week.
That’s enough.
Because if you already have a proven edge, taking more trades doesn’t automatically improve your results.
Very often it does the opposite.
More trades usually mean:
• lower-quality setups
• more emotional decisions
• more exposure
• more unnecessary drawdown
• more chances to break your plan
The goal isn’t to be active every day.
The goal is to wait until your criteria are actually there.
I would rather take one A+ setup in a week than five average ones just to feel productive.
Especially when managing larger capital, patience becomes part of risk management.
You don’t get paid for activity.
You get paid for good decisions repeated over time.
A lot of you liked my post about the key principles I’ve learned after 4.5 years in prop trading.
So I’m going to break down each point in more detail.
We already covered #4 — Account Rotation.
Now let’s start with #1: Trade a proven strategy with positive expectancy.
For me, most of my models operate around:
• 55–65% win rate
• 2R+ average winners
• clearly defined entry criteria
• fixed risk and trade management rules
The important part is that you know your numbers.
You should know:
• your win rate
• average R:R
• expected losing streaks
• trade frequency
• average drawdown
• which market conditions your model performs best in etc.
Because once you know the statistics behind your edge, individual trades become far less important.
A loss is no longer a problem.
It’s simply one outcome inside a much larger sample.
That changes the way you trade completely.
You stop asking:
“Will this trade win?”
And start asking:
“Did I execute my edge correctly?”
That’s where consistency starts.
A practical example of how I use the account rotation framework I explained earlier.
First trade on the new $250K Tradeify account — AUDJPY long.
This is a Model 1 setup, so I executed it across a selected group of accounts assigned to that model.
Current allocation on this trade is roughly:
• $300K FundedElite
• $250K Tradeify
• $100K BEM
• $100K ACG
Around $750K total exposure.
Important distinction:
This isn’t one of my highest-conviction A+ setups.
So I’m not executing it across 33% of the entire portfolio.
Instead, I’m using roughly 25% of the capital allocated specifically to Model 1.
That’s another layer of the framework:
Not every valid setup deserves full portfolio exposure.
Lower-conviction setup → smaller part of the model allocation.
A+ setup → potentially much broader allocation across the portfolio.
Same strategy.
Different setup quality.
Different capital allocation.
That’s how I try to keep exposure proportional to conviction while still allowing each model to perform independently.
A lot of people asked me to explain Rule #4: Account Rotation in more detail.
This is one of the main reasons I don’t trade my entire prop portfolio with one single strategy.
I currently run 3 different models, with roughly 33% of the portfolio allocated to each — almost $3M per strategy.
The biggest advantage:
Different models perform in different market environments.
Model 1 is my lower-timeframe strategy, mainly executed on the 15-minute chart.
Models 2 and 3 operate more on the 1H / 4H timeframes.
So immediately I get diversification between:
• shorter-term and longer-term opportunities
• different holding periods
• different market structures
There’s another important difference.
Two of my models are primarily built around reversal points.
The third is built around continuations.
That means when markets are ranging or consolidating, one part of the portfolio can perform well.
When markets become directional and trend strongly, another model can take over.
I’m not dependent on one specific market regime.
And because I know the statistics behind each model, I also know that they won’t all perform equally well every month.
One strategy might have a flat or weaker month while another produces very strong performance.
That’s exactly what I want.
The goal of account rotation is not to have every account doing the same thing.
It’s to create:
• market-regime diversification
• timeframe diversification
• lower concentration risk
• different payout cycles
• a more balanced overall portfolio
Instead of exposing the entire allocation to one model, one drawdown cycle and one type of market behaviour, I spread that risk across three different edges.
That’s the main idea behind my account rotation framework.
After 4.5 years in prop trading, mid 6 figures in payouts and high 7 figures in funded allocation…
I can break down most of what I’ve learned into a few key principles
1. Trade a 2R+ strategy with around 55–60% WR
2. Quality over quantity. For me: usually 1–2 trades per strategy per week
3. Risk management comes first. Max 1% risk in challenges. Usually less.
4. Use account rotation .I run 3 different strategies so the entire portfolio doesn’t depend on one model or one market condition
5. Once funded, think like a portfolio manager. Reduce risk to around 0.5–0.75%, diversify exposure and protect the accounts
6. Keep funded accounts. The goal isn’t to make money fast.
The goal is to keep capital for as long as possible and let the edge compound.
That’s how I approach managing an almost 8-figure prop portfolio.
Not chasing trades.
Not chasing payouts.
Just managing risk, allocating capital and repeating the process.
Another addition to the Tradeify FX allocation.
Just picked up their new $250K Gold Account for only $91.
The price is obviously this low because the account comes with 3x 10% profit targets, so it will probably take longer to complete.
But I honestly don’t mind that.
For me, the more important part is the additional funded allocation.
I’m already around $300K allocated with Tradeify, and this gives me the opportunity to scale that to roughly $550K.
Good drawdown structure, solid rules and so far I’ve had a very positive experience with their execution and trading conditions.
So even if it takes longer to complete, I’m happy to trade it patiently.
Another step in expanding the portfolio.
8
37
2,881
Great Value!
Mark Douglas’s “Trading in the Zone” never once tells you to “control your emotions.”
Today I will explain the core of this book, which so many traders have read but so few truly understand.
Few books have been read by as many traders, and truly understood by as few, as “Trading in the Zone.”
Social media is full of copy-and-paste lines like “Emotional control is the key.”
And the same people say that “Trading in the Zone” is a great book.
But in that very book, Mark Douglas states clearly that the best traders are not controlling their emotions.
Even though he writes it this directly, many traders skim right past this important part.
This is a book about trading with probabilistic thinking.
Most traders see trading as a “game of winning and losing,” and with that fixed idea, they cannot read it accurately.
Because the book lets you touch the surface of probabilistic thinking, many traders who used to see trading as a “game of winning and losing” are deeply moved by it, but because of that mistaken belief, few of them grasp what it truly means.
He makes it clear that the difference between the best traders and everyone else is not a better system or better chart analysis, and that he can find no difference other than this, that they are not afraid.
“The best traders aren’t afraid.”
Great traders are simply not afraid in the first place.
They are not using some brilliant emotional control.
They are not afraid from the start.
The theme of this book is how to create a state of mind that is free of fear.
Great traders do not take market information as something painful in the first place.
To them, market information is just information.
What creates pain out of that information is each trader’s own beliefs and thought process.
By unconsciously labeling that information as “good” or “bad,” you trigger the emotional reactions that match those labels.
Great traders have built a different way of seeing the information the market gives them.
Great traders do not control their emotions, and since they have no fear in the first place, they have nothing to deal with.
They do not believe they can predict the market.
They understand, without a shred of doubt, that each individual outcome is random.
You cannot be wrong about something you never claimed to know or predict.
Because they are not playing a game of predicting the future in the first place, the results of their trades do not affect them, and they carry no fear of results.
With no fear, there is nothing to deal with from the start.
Most traders assume that the best traders fear mistakes, losses, missed opportunities, and failed profit-taking just as they do.
And they assume that the best traders somehow resolve their fear through great courage, mental strength, and self-control.
But that is not the case.
Great traders do not overcome fear by training their self-control or their ability to control emotions.
Just because you have not yet overcome your emotional problems, do not assume everyone else is the same.
Great traders tackle these problems with a completely different approach.
Their beliefs and thought processes are different from those of traders who feel so much fear, so they simply see the same information as something else.
It is the same as how someone who is afraid of flying would not look at someone who flies without fear and think, “That person must be a master of emotional control.”
Douglas also writes this.
“Consistency is a state of mind that, once achieved, won’t allow you to ‘be’ any other way.”
Once you are there, you no longer need to try to stay consistent.
Consistency is not something you force yourself to keep doing.
Gaining consistency includes every right understanding and thought process a trader should have, such as a deep understanding of trading, an understanding of probabilistic thinking, and trust in your system.
Beliefs change not through knowledge, but through deep understanding gained by experience.
Because of this, once you gain consistency, you can no longer act any other way.
That is because once the mistaken belief that “winning and losing matter” has changed into a belief rooted in probabilistic thinking, the emotions that arise in you change, you come to feel a strong aversion to breaking your rules, and you can no longer stray from them easily.
Breaking your rules becomes as hard as following them is for you now, and you can no longer take any action that stops you from using probability.
In other words, people who break their rules, or who have emotional problems over the win or loss in front of them, have not yet truly gained the understanding of trading they need.
You still hold the belief that “the win or loss in front of you has value,” more than your rules or probabilistic thinking.
As you can see, Mark Douglas states again and again in the book that the best traders do not control their emotions, and that they do not need to in the first place.
Even so, many traders skim past these direct words because of the fixed idea that “emotional control is necessary.”
I have also said many times that I do not control my emotions, and many times that this does not mean becoming a robot-like person.
No emotions arise in me when I trade, but in daily life I am as emotional as ever.
It is simply a difference in perception, brought about by a change in beliefs and thought process.
And I also share here the importance of practice to change your beliefs every day.
I have been deeply influenced by his book.
As he once said, I now have no fear of trading at all.
I simply keep repeating what needs to be done, when it needs to be done.
Many people see Mark Douglas’s book as a “psychology book,” read it, understand it, and stop there.
But this is a book for changing your beliefs through experience and truly making probabilistic thinking your own, a book that pushes you to practice.
And what I share every day is also meant to push you to practice.
Understand your knowledge deeply through experience, and “embody” probabilistic thinking.
That is what it means to become a trader.
If you’re currently struggling with your system, your edge or going through a losing streak — here are a few things that always helped me during those phases.
Every trader goes through periods where nothing seems to work and confidence drops.
What I did after consecutive losses->
1. Reduce my risk slightly.
2. Go through my journal and carefully analyse the recent losing trades to identify what went wrong.
3. At the same time, revisit my A+ setups to remind myself exactly what I want to see in the market.
4. Once the first solid trade worked out, confidence usually came back and I slowly moved risk back to normal levels.
And always keep this in mind:
If you truly know your strategy and have collected enough data, you should also know how many consecutive losses your system can produce and when, statistically, the wins tend to appear again.
Robin ® retweeted
Everyone needs a vision bigger than money.
Something you can come back to when things get difficult and remind yourself why you started in the first place.
For me, the long-term goal has always been financial freedom.
Not just for myself.
I want to be able to take care of my family.
Help my friends.
Give the people around me a life with less financial stress.
Support others whenever I’m in a position to do so.
That’s the bigger mission behind everything I’m building.
Because there will be difficult months.
Losing streaks.
Doubt.
Setbacks.
Periods where progress feels almost invisible.
And in those moments, you need something bigger to look at.
A clear picture of the life you’re trying to create.
Your vision doesn’t need to look like mine.
But you need one.
Know exactly why you’re putting in the work.
Know what all those years of discipline are supposed to lead to.
The road might be long.
But every year you stay committed, the distance between you and that vision gets smaller.
Keep the bigger picture in front of you. Always.
$400K FundingPips Max Allocation Reached.
After FundingPips increased their max allocation to $400K, I added another $100K account and recently passed it as well.
So the full $400K allocation is now completed.
Another solid addition to the prop portfolio.
I also still have several FundingPips Labs accounts open, which should hopefully go live soon and add another layer to the allocation.
Step by step, the portfolio keeps growing.
I’ll keep you updated on how the FundingPips allocation performs over the next few months.
I’ve been in the prop trading industry for over 4 years, worked with almost every major reputable firm in the space and currently manage an 8-figure prop firm portfolio.
So I’ve seen a lot of different account structures, rules and risk models over the years.
And I’ll be honest:
I’m still finding the new @MyForexFunds Evolution structure unnecessarily difficult to fully understand.
The strike system, switching to partner status, strikes being removed again, different internal conditions and all the additional mechanics around the account create a lot of extra complexity.
And that’s my main concern.
As traders, our focus should be on trading.
Executing the strategy.
Managing risk.
Managing positions.
The account itself should create as little additional noise as possible.
If I already need significant time to fully understand every rule and scenario after 4+ years in this industry, I can imagine that a lot of newer traders will struggle with it even more — and judging by many of the comments, I don’t think I’m the only one.
I’m not against what MFF is trying to build.
Innovation is good, and MFF has always been known for doing things differently.
But personally, I think there should still be a simple, classic account option alongside Evolution.
Sometimes the best structure is the one you barely have to think about.
The more attention the account rules require, the less attention remains for the actual trading.
13
96
7,421
Another $300K in funding secured with The5ers.
Both the Summer Plan and the regular High Stakes 2-Step Challenge are now officially funded.
Another successful step in scaling my prop firm portfolio, adding to the accounts I already have funded with The5ers.
In my experience, The5ers is definitely one of the best firms in the industry. Great execution, reliable trading conditions and a very positive overall experience.
Happy with the progress.
Step by step, we keep scaling.
21
80
3,166
Tradeify FX update.
Phase 1 is now completed on all 3x $100K accounts.
So far, I’ve had a really good experience with the firm.
Execution has been smooth, spreads have been solid and I haven’t noticed any issues with the trading conditions.
The trade that completed Phase 1 was an AUDNZD long.
I’ll post the full trade breakdown tomorrow.
And over the next two days I’ll also continue with Part 2 and Part 3 of my portfolio management framework, breaking down how I allocate my other strategies across the portfolio.
So far, very positive first impression of Tradeify FX.
Portfolio Management Framework Part 1
My first strategy is my lower-timeframe model, execute on the 15-minute chart.
Some of the key metrics behind it:
• Historical backtest win rate: around 60%
• Live / forward-tested win rate over the last 4 years: around 60–65%
• RR sweet spot; 2.3R–2.5R
• Frequency: around 1 setup per week
• Typical holding time: 2–4 days
• Max consecutive losses experienced live: 5
• Backtest data shows that 7–8 consecutive losses are statistically possible
The improvement in win rate compared to the older backtest data mainly comes from four years of live-market experience, execution refinement and forward testing.
Now to the important part:
How do I match this strategy with my prop firm accounts?
Around $2.8M of my funded allocation is currently assigned to Model 1.
These are mainly classic 2-Step funded accounts with:
• 10% static overall drawdown
• 5% daily drawdown
I currently execute this model with around 0.75% - 1% risk per trade.
The reason is simple:
Because Model 1 has a relatively higher trade frequency and can statistically experience larger losing streaks, I want enough downside buffer for the edge to play out without putting the account structure under unnecessary pressure.
That’s why firms/accounts such as FTMO, Alpha Capital, Goat Funded, BrightFunded, FundingPips and FundedNext fit this model well within my portfolio.
The key idea behind the whole framework:
I don’t just allocate strategies to accounts randomly.
I match the statistical characteristics of each model — frequency, drawdown profile, losing streaks, holding time and risk — with the account structure that fits it best.
That’s Model 1.
Part 2 will cover my second strategy and why it requires a different account allocation.
Wishing you all a great trading week ahead.
Tonight I’m posting a detailed breakdown of how my 3 strategies performed over the last 4 weeks.
I’ll also explain the logic behind my account rotation, risk framework and prop firm allocation — and why specific accounts are matched to the individual metrics of each strategy.
Different models. Different characteristics. Different allocations.
Should be an interesting one.
10
68
2,814