📊 +5.60% / March 2025 [Monthly Performance]
Hi,
Despite challenging market conditions, Algocrat AI delivered a solid performance in March, showcasing the system’s resilience and adaptability.
Here are the key stats:
📈 Account Growth: +5.60%
📉 Maximum Drawdown: 4.95%
In a month where many strategies struggled, Algocrat AI stayed focused, navigating volatility and managing risk effectively.
It’s another reminder of the strength behind a data-driven, well-tested system built for long-term consistency.
As always, for a full performance breakdown, you can visit our verified MyFxBook track record:
🔗 Click Here To Access Our MyFxBook Track Record
Best regards,
The Algocrat AI Team
Hi,
Despite challenging market conditions, Algocrat AI delivered a solid performance in March, showcasing the system’s resilience and adaptability.
Here are the key stats:
📈 Account Growth: +5.60%
📉 Maximum Drawdown: 4.95%
In a month where many strategies struggled, Algocrat AI stayed focused, navigating volatility and managing risk effectively.
It’s another reminder of the strength behind a data-driven, well-tested system built for long-term consistency.
As always, for a full performance breakdown, you can visit our verified MyFxBook track record:
🔗 Click Here To Access Our MyFxBook Track Record
Best regards,
The Algocrat AI Team
🔍 Small Gains, Big Regret: How Early Exits Kill Momentum [Strategy Analysis]
Over the past few weeks, we re-examined whether tighter take-profit (TP) levels or trailing stops could boost performance.
We’ve run this research before, but a string of near-miss TPs prompted a fresh, data-heavy look.
Back-testing shows that whenever we introduce early profit-taking, long-term results deteriorate.
Cutting winners short sacrifices the outsized moves that account for a disproportionate share of momentum profits.
Why is that?
Big moves drive most of the profits.
In momentum-driven crypto markets, missing just a handful of major breakouts can erase months of gains.
By introducing smaller TP levels or trailing stops, we miss these big gains, making drawdowns longer and profits smaller.
However, there are indeed some market periods where this approach delivers suboptimal results.
Our advanced filtering systems filter out most such periods, but no filtering is perfect.
The only way to avoid all such periods is not to trade at all.
Here's what you should know:
We continuously refine our multi-factor filters and portfolio overlays to sidestep most adverse conditions.
Diversification across pairs further smooths equity curves, though it can’t replace the payoff from fully capturing big market moves.
We’ll keep iterating on filters and execution logic, but the data draws a clear line: beyond a point, tighter exits undercut the very edge momentum trading depends on.
Understanding and respecting that boundary is how we protect long-run alpha.
Hope you find this valuable.
Best,
The Algocrat AI Team
P.S. The best trades come without warning. Join us today so you don’t miss them — sign up now.
Over the past few weeks, we re-examined whether tighter take-profit (TP) levels or trailing stops could boost performance.
We’ve run this research before, but a string of near-miss TPs prompted a fresh, data-heavy look.
Back-testing shows that whenever we introduce early profit-taking, long-term results deteriorate.
Cutting winners short sacrifices the outsized moves that account for a disproportionate share of momentum profits.
Why is that?
Big moves drive most of the profits.
In momentum-driven crypto markets, missing just a handful of major breakouts can erase months of gains.
By introducing smaller TP levels or trailing stops, we miss these big gains, making drawdowns longer and profits smaller.
However, there are indeed some market periods where this approach delivers suboptimal results.
Our advanced filtering systems filter out most such periods, but no filtering is perfect.
The only way to avoid all such periods is not to trade at all.
Here's what you should know:
We continuously refine our multi-factor filters and portfolio overlays to sidestep most adverse conditions.
Diversification across pairs further smooths equity curves, though it can’t replace the payoff from fully capturing big market moves.
We’ll keep iterating on filters and execution logic, but the data draws a clear line: beyond a point, tighter exits undercut the very edge momentum trading depends on.
Understanding and respecting that boundary is how we protect long-run alpha.
Hope you find this valuable.
Best,
The Algocrat AI Team
P.S. The best trades come without warning. Join us today so you don’t miss them — sign up now.
📊 -9.34% / April 2025 [Monthly Performance]
Hi,
April brought challenging market conditions, and as a result, Algocrat AI closed the month with a loss of -9.34% and a maximum drawdown of 19.96%.
While these periods are never easy, they are a natural part of any high-performance strategy.
Over the past years, we've seen that drawdowns—though uncomfortable—are temporary, and staying the course through volatility is what allows the strategy to capture outsized returns over time.
As always, our systems remained disciplined and fully operational throughout the month.
We continue to monitor performance closely and refine where needed without compromising the integrity of the long-term approach.
For a detailed breakdown of our results, feel free to visit our verified MyFxBook track record:
🔗 Click Here To Access Our MyFxBook Track Record
Best regards,
The Algocrat AI Team
Hi,
April brought challenging market conditions, and as a result, Algocrat AI closed the month with a loss of -9.34% and a maximum drawdown of 19.96%.
While these periods are never easy, they are a natural part of any high-performance strategy.
Over the past years, we've seen that drawdowns—though uncomfortable—are temporary, and staying the course through volatility is what allows the strategy to capture outsized returns over time.
As always, our systems remained disciplined and fully operational throughout the month.
We continue to monitor performance closely and refine where needed without compromising the integrity of the long-term approach.
For a detailed breakdown of our results, feel free to visit our verified MyFxBook track record:
🔗 Click Here To Access Our MyFxBook Track Record
Best regards,
The Algocrat AI Team
🛠 Breakouts, Rebalances, and Refinements: Portfolio Update Now Live [Strategy Update]
We recently rolled out a major update to the Algocrat AI portfolio.
Although improvements are an ongoing effort, any change applied to live accounts must pass a rigorous validation process, so updates are infrequent and implemented with great care.
Here is a summary of what’s new:
- New Ethereum trading system – we added a breakout strategy that has already executed several trades. Its low correlation with our existing systems should enhance overall portfolio performance
- Portfolio rebalancing – we reduced the allocation to strategies that have underperformed in recent years and increased exposure to those that have been delivering stronger results
- System-by-system review – we thoroughly reassessed every strategy in the mix, refining entry and exit rules and adjusting risk-mitigation features
Most of this work is technical and not immediately visible, but we expect these adjustments to improve long-term performance.
Best,
The Algocrat AI Team
We recently rolled out a major update to the Algocrat AI portfolio.
Although improvements are an ongoing effort, any change applied to live accounts must pass a rigorous validation process, so updates are infrequent and implemented with great care.
Here is a summary of what’s new:
- New Ethereum trading system – we added a breakout strategy that has already executed several trades. Its low correlation with our existing systems should enhance overall portfolio performance
- Portfolio rebalancing – we reduced the allocation to strategies that have underperformed in recent years and increased exposure to those that have been delivering stronger results
- System-by-system review – we thoroughly reassessed every strategy in the mix, refining entry and exit rules and adjusting risk-mitigation features
Most of this work is technical and not immediately visible, but we expect these adjustments to improve long-term performance.
Best,
The Algocrat AI Team
📊 Binance vs. MetaTrader Brokers: Who’s Delivering the Best Results in 2025? [Market Analysis]
It’s no secret that at Algocrat AI, we keep a close eye not only on the markets and our systems but also on the trading venues we use.
Yet decisions can’t rest on impressions alone, so we pull live data from each venue and track how conditions change over time.
Because meaningful statistics require a decent sample size, we run this analysis roughly once a year.
We carried it out in early 2024 - just before Algocrat AI’s public launch - and repeated this recently.
Here’s a brief summary of what we found:
In our 2023-24 review (made in early 2024), Binance was the clear leader, offering the highest liquidity, best execution, and lowest overall costs of all venues we used.
Since then, two things have changed: we started working with new venues, while Binance’s market share has slipped as competitors closed the gap.
Both trends call for a fresh assessment.
How the landscape looks now:
Binance remains one of the strongest crypto exchanges, but competitors have caught up:
Forex brokers now deliver markedly better execution for crypto and virtually zero downtime, several have recorded near 100 % uptime in 2024.
Crypto pairs that once suffered sporadic outages have been upgraded to a technical standard on par with FX pairs at many brokers.
Because downtime and slippage translate into higher costs, these improvements matter.
Execution quality and cost: what was once Binance’s undisputed edge is now merely a competitive offering. On some metrics, other brokers even outperform it
We also examined Binance’s global share of Bitcoin and Ethereum perpetual futures.
The exchange’s slice of that pie has shrunk from 65 % in 2022 to 41 % in 2024, a shift that aligns with what we see in live trading accounts.
So, which one is the “best” option?
There is no single winner.
IC Markets, Pepperstone, Vantage, Binance, and Exness all deliver execution quality and cost structures so close that the differences sit within statistical noise.
That’s why Algocrat AI trades across all of them and treats them as broadly interchangeable.
If you haven't seen our comparison post previously, we highly recommend revisiting it.
There, we have compared actual live results of accounts working with different venues.
And if you haven't signed up yet.. what are you waiting for?
🔗 Click here to Sign Up Now
Best,
The Algocrat AI Team
It’s no secret that at Algocrat AI, we keep a close eye not only on the markets and our systems but also on the trading venues we use.
Yet decisions can’t rest on impressions alone, so we pull live data from each venue and track how conditions change over time.
Because meaningful statistics require a decent sample size, we run this analysis roughly once a year.
We carried it out in early 2024 - just before Algocrat AI’s public launch - and repeated this recently.
Here’s a brief summary of what we found:
In our 2023-24 review (made in early 2024), Binance was the clear leader, offering the highest liquidity, best execution, and lowest overall costs of all venues we used.
Since then, two things have changed: we started working with new venues, while Binance’s market share has slipped as competitors closed the gap.
Both trends call for a fresh assessment.
How the landscape looks now:
Binance remains one of the strongest crypto exchanges, but competitors have caught up:
Forex brokers now deliver markedly better execution for crypto and virtually zero downtime, several have recorded near 100 % uptime in 2024.
Crypto pairs that once suffered sporadic outages have been upgraded to a technical standard on par with FX pairs at many brokers.
Because downtime and slippage translate into higher costs, these improvements matter.
Execution quality and cost: what was once Binance’s undisputed edge is now merely a competitive offering. On some metrics, other brokers even outperform it
We also examined Binance’s global share of Bitcoin and Ethereum perpetual futures.
The exchange’s slice of that pie has shrunk from 65 % in 2022 to 41 % in 2024, a shift that aligns with what we see in live trading accounts.
So, which one is the “best” option?
There is no single winner.
IC Markets, Pepperstone, Vantage, Binance, and Exness all deliver execution quality and cost structures so close that the differences sit within statistical noise.
That’s why Algocrat AI trades across all of them and treats them as broadly interchangeable.
If you haven't seen our comparison post previously, we highly recommend revisiting it.
There, we have compared actual live results of accounts working with different venues.
And if you haven't signed up yet.. what are you waiting for?
🔗 Click here to Sign Up Now
Best,
The Algocrat AI Team
😱 “Has Algocrat AI Lost Its Edge?” Here's What the Data Actually Says [Performance Analysis]
The feedback about Algocrat AI we've received recently is that our current results are underwhelming.
And it's true: our performance this year is below average, especially compared to last year’s results.
However, it's quite common for Algocrat AI to experience lower-than-average results.
By definition, the average value means “roughly half the time we are below it”.
So, we decided to provide a more thorough look into the performance metrics of Algocrat AI throughout the years to see if what we’re experiencing right now is normal.
Here's how it works:
All the calculations and charts below were produced using the QuantStats library.
It's one of the most well-known quant libraries used to assess the performance of algorithmic trading strategies and various assets all across the globe.
It’s fully open-source, and the data we use is public, pulled from our third-party verified Myfxbook track records, which means anyone could reproduce the results we’re showing here.
Without further ado, let’s dive straight into the metrics.
First, let’s assess year-to-year performance:
Algocrat AI has been trading publicly since 2020, as you can check in our Myfxbook account.
The overall return reached a phenomenal 15,000%, leaving Bitcoin in the dust. Moreover, the worst full year we’ve had to date is 2022, where we made 173.74%.
Pretty good for the worst year we’ve had so far.
Next, let’s take a look at a 6-month rolling Sortino chart, as one of the best available risk-adjusted performance metrics.
What we see is that the 2024 performance was well above average (at some point, Sortino reached an unrealistic 10.0), while the last 6 months are closer to average.
We’ve had such results many times before.
What’s interesting to note is that the 2024 performance was abnormal, almost twice the average year we observed before it.
So, it’s natural to see some regression to the mean afterward, since we do not usually make 300%+ per year.
This means that there is no statistically significant change from the past dynamics of the portfolio.
What we see now has been observed before on real, third-party verified public accounts.
So, what’s next?
After more than a decade of real-world experience in algorithmic trading, we’ve come to the inevitable conclusion:
Almost all attempts to predict the market’s medium-term dynamics (“Bitcoin is going to the moon, meet you at $200k!”, “Oh no, it’s falling all the way down to zero again…”) are pointless.
Nobody can do this with precision - it’s a losing game.
That’s why we don’t play it.
The best traders in the world can predict short-term price dynamics with maybe up to 60% precision at some points.
That’s what we do:
Boring exploitation of statistically significant market effects we can observe and measure.
Since 2018 with world-class success
And that’s what we intend to continue doing.
If you'd like to come along:
🔗 Click here to Sign Up Now
Best,
The Algocrat AI Team
The feedback about Algocrat AI we've received recently is that our current results are underwhelming.
And it's true: our performance this year is below average, especially compared to last year’s results.
However, it's quite common for Algocrat AI to experience lower-than-average results.
By definition, the average value means “roughly half the time we are below it”.
So, we decided to provide a more thorough look into the performance metrics of Algocrat AI throughout the years to see if what we’re experiencing right now is normal.
Here's how it works:
All the calculations and charts below were produced using the QuantStats library.
It's one of the most well-known quant libraries used to assess the performance of algorithmic trading strategies and various assets all across the globe.
It’s fully open-source, and the data we use is public, pulled from our third-party verified Myfxbook track records, which means anyone could reproduce the results we’re showing here.
Without further ado, let’s dive straight into the metrics.
First, let’s assess year-to-year performance:
Algocrat AI has been trading publicly since 2020, as you can check in our Myfxbook account.
The overall return reached a phenomenal 15,000%, leaving Bitcoin in the dust. Moreover, the worst full year we’ve had to date is 2022, where we made 173.74%.
Pretty good for the worst year we’ve had so far.
Next, let’s take a look at a 6-month rolling Sortino chart, as one of the best available risk-adjusted performance metrics.
What we see is that the 2024 performance was well above average (at some point, Sortino reached an unrealistic 10.0), while the last 6 months are closer to average.
We’ve had such results many times before.
What’s interesting to note is that the 2024 performance was abnormal, almost twice the average year we observed before it.
So, it’s natural to see some regression to the mean afterward, since we do not usually make 300%+ per year.
This means that there is no statistically significant change from the past dynamics of the portfolio.
What we see now has been observed before on real, third-party verified public accounts.
So, what’s next?
After more than a decade of real-world experience in algorithmic trading, we’ve come to the inevitable conclusion:
Almost all attempts to predict the market’s medium-term dynamics (“Bitcoin is going to the moon, meet you at $200k!”, “Oh no, it’s falling all the way down to zero again…”) are pointless.
Nobody can do this with precision - it’s a losing game.
That’s why we don’t play it.
The best traders in the world can predict short-term price dynamics with maybe up to 60% precision at some points.
That’s what we do:
Boring exploitation of statistically significant market effects we can observe and measure.
Since 2018 with world-class success
And that’s what we intend to continue doing.
If you'd like to come along:
🔗 Click here to Sign Up Now
Best,
The Algocrat AI Team