📚 How Much Has Crypto Really Changed Since ETFs Launched? [Market Analysis]
We recently received an interesting question from one of our long-time clients.
It was indeed an excellent question, which we should cover in a little more detail.
Here it is:
"I'm curious about the behavior of the cryptocurrency market since significant investment through ETFs began. If ETFs represent mostly passive investments, I assume that ETF investors are less likely to panic sell during downturns or engage in FOMO (fear of missing out) buying during rallies, compared to the pre-ETF era, which was dominated by retail investors. Consequently, could this lead to less significant price movements for Bitcoin (BTC) and Ethereum (ETH) than in the past? Is this reasoning correct, or are some of my assumptions flawed?"
Let's take a closer look and dive straight into the research on this topic:
First of all, we need to understand who is buying the ETFs.
While the exact structure of holders can't be known with precision, we can estimate it based on data from issuer 13F filings and Bloomberg flow reports.
You can see our estimations in the table and the chart attached to this post.
While a chunk of flows is passive, a large share consists of groups that do hit the sell or buy buttons during sharp price movements.
What do the early empirical studies say?
Are prices really less volatile? What are the effects that we can measure?
First, a peer-reviewed event study published a few weeks ago found statistically significant but modest reductions in daily return variance after January 11, 2024 (spot ETF day).
On top of that, volatility spikes still reach 70% annualized, so it’s too early to say that the spikes have gone away.
However, liquidity has increased significantly.
Kaiko Research’s market depth measures more than doubled during this period.
They also note tighter typical bid-ask spreads and a higher share of global BTC volume during U.S. market hours.
If so, why don’t we see a significant reduction in volatility as well?
There are a couple of reasons for that.
First of all, ETF creation/redemption is one-sided in cash (so far).
When there are net outflows, the authorized participant must sell spot BTC to raise cash, which can accelerate a dip.
The 17% slide in February 2025 coincided with a record $3.3 billion in ETF outflows.
Next, rebalancers do sell into strength.
Multi-asset funds that target, say, a 2% BTC weight trimmed holdings in March 2024 and March 2025 after moonshots to new highs.
This creates significant selling pressure, increasing Bitcoin’s volatility.
Also, hedge-fund basis trades flip quickly.
How does this affect Algocrat AI?
When futures premia flatten, they unwind both the long ETF and short CME legs, creating synchronous selling pressure.
This underpins the use of funding rates in our systems.
Add to that the fact that liquidity is time-zone-clustered, and you get a clear picture.
Kaiko Research shows that overnight volatility has increased relative to pre-ETF days.
All of this shows that crypto is still a high-beta asset class.
The presence of ETFs lowers the average chop but does not eliminate 30% drawdowns or 80% rallies.
And that’s where we come in - getting our share of profits with Algocrat AI.
Ready to put this volatility to work?
🔗 Click here to Sign Up Now
Best,
The Algocrat AI Team
We recently received an interesting question from one of our long-time clients.
It was indeed an excellent question, which we should cover in a little more detail.
Here it is:
"I'm curious about the behavior of the cryptocurrency market since significant investment through ETFs began. If ETFs represent mostly passive investments, I assume that ETF investors are less likely to panic sell during downturns or engage in FOMO (fear of missing out) buying during rallies, compared to the pre-ETF era, which was dominated by retail investors. Consequently, could this lead to less significant price movements for Bitcoin (BTC) and Ethereum (ETH) than in the past? Is this reasoning correct, or are some of my assumptions flawed?"
Let's take a closer look and dive straight into the research on this topic:
First of all, we need to understand who is buying the ETFs.
While the exact structure of holders can't be known with precision, we can estimate it based on data from issuer 13F filings and Bloomberg flow reports.
You can see our estimations in the table and the chart attached to this post.
While a chunk of flows is passive, a large share consists of groups that do hit the sell or buy buttons during sharp price movements.
What do the early empirical studies say?
Are prices really less volatile? What are the effects that we can measure?
First, a peer-reviewed event study published a few weeks ago found statistically significant but modest reductions in daily return variance after January 11, 2024 (spot ETF day).
On top of that, volatility spikes still reach 70% annualized, so it’s too early to say that the spikes have gone away.
However, liquidity has increased significantly.
Kaiko Research’s market depth measures more than doubled during this period.
They also note tighter typical bid-ask spreads and a higher share of global BTC volume during U.S. market hours.
If so, why don’t we see a significant reduction in volatility as well?
There are a couple of reasons for that.
First of all, ETF creation/redemption is one-sided in cash (so far).
When there are net outflows, the authorized participant must sell spot BTC to raise cash, which can accelerate a dip.
The 17% slide in February 2025 coincided with a record $3.3 billion in ETF outflows.
Next, rebalancers do sell into strength.
Multi-asset funds that target, say, a 2% BTC weight trimmed holdings in March 2024 and March 2025 after moonshots to new highs.
This creates significant selling pressure, increasing Bitcoin’s volatility.
Also, hedge-fund basis trades flip quickly.
How does this affect Algocrat AI?
When futures premia flatten, they unwind both the long ETF and short CME legs, creating synchronous selling pressure.
This underpins the use of funding rates in our systems.
Add to that the fact that liquidity is time-zone-clustered, and you get a clear picture.
Kaiko Research shows that overnight volatility has increased relative to pre-ETF days.
All of this shows that crypto is still a high-beta asset class.
The presence of ETFs lowers the average chop but does not eliminate 30% drawdowns or 80% rallies.
And that’s where we come in - getting our share of profits with Algocrat AI.
Ready to put this volatility to work?
🔗 Click here to Sign Up Now
Best,
The Algocrat AI Team
🦾 Can Google’s New AI Crack the Markets? [Artificial Intelligence Research]
Google DeepMind recently announced AlphaEvolve, a Gemini-powered coding agent for general-purpose algorithm discovery and optimisation.
The system couples large language models with an evolutionary search loop and automated evaluators to iteratively improve code.
What AlphaEvolve actually is:
AlphaEvolve is not a single “AI tool” but a framework: you give it (i) a code skeleton or family of baseline algorithms and, (ii) a deterministic function that scores each candidate.
The agent then mutates, compiles and tests thousands of variants, keeping only the ones that raise the score.
In internal Google use it has, for example, discovered a heuristic that continually recovers ≈ 0.7% of the company’s global compute capacity and sped up a key Gemini kernel by 23%, trimming total training time by about 1%.
Why “just point it at trading” is harder than it sounds:
Trading success cannot be verified by a tidy, stationary metric the way matrix-multiplication speed can.
To adapt AlphaEvolve you would need—before the first experiment can run—all of the following,
🕹 A high-fidelity, deterministic market simulator:
It must model latency, slippage, margin and order-book micro-structure, because the evaluator has to produce exactly the same score each time it is called.
🔮 Forward-looking robustness tests:
An evaluator based only on historical P&L will be gamed by curve-fitting. You have to embed walk-forward splits, stress regimes and position-level risk limits.
🎯 Clear multi-objective criteria:
Real desks care about turnover, draw-down, capacity and compliance as much as raw Sharpe. Those must be baked into the score or AlphaEvolve will ignore them.
Without this groundwork AlphaEvolve will happily evolve strategies that exploit quirks of your back-test rather than patterns that survive live markets
Why human logic still matters:
At Algocrat AI we rely on logic and theoretical research to anchor every strategy.
AlphaEvolve can mutate that logic into something less transparent if the opaque variant scores better, so a human still has to:
📝 Design the evaluator to reward interpretability and parsimony
👀 Code-review the winners before capital is allocated
🔄 Retire or retrain strategies the moment live performance diverges
In short, the human must be smarter than the agent at defining “robust”.
AlphaEvolve supplies raw search horsepower, not market insight.
Is AlphaEvolve available yet?
As of May 2025, AlphaEvolve is in a closed Early-Access Programme for academic partners.
Google has invited researchers to register interest but has not announced a public cloud SKU or pricing.
Here's the bottom line:
AlphaEvolve is a promising addition to the quantitative toolbox.
Once it becomes publicly accessible you could slot it into an existing research pipeline, provided you invest the time to build a bullet-proof trading evaluator.
Until then, treat it as experimental infrastructure rather than a turnkey trading edge.
Why is this important to you?
At Algocrat AI, we're constantly studying the latest breakthroughs in AI — not just to understand them, but to apply them.
Our mission is to take real innovation and embed it directly into our systems — making them smarter, faster, and more reliable with every iteration.
The kind of edge you can access by joining us today:
👉 Click here to apply now
Best,
The Algocrat AI Team
P.S. What's interesting is that there is a separate AlphaEvolve tool in fintech made for the specific purpose of finding novel trading systems. Not sure if Google knows about this, but it's mentioned that a patent was even filed for this system back in 2021.
Google DeepMind recently announced AlphaEvolve, a Gemini-powered coding agent for general-purpose algorithm discovery and optimisation.
The system couples large language models with an evolutionary search loop and automated evaluators to iteratively improve code.
What AlphaEvolve actually is:
AlphaEvolve is not a single “AI tool” but a framework: you give it (i) a code skeleton or family of baseline algorithms and, (ii) a deterministic function that scores each candidate.
The agent then mutates, compiles and tests thousands of variants, keeping only the ones that raise the score.
In internal Google use it has, for example, discovered a heuristic that continually recovers ≈ 0.7% of the company’s global compute capacity and sped up a key Gemini kernel by 23%, trimming total training time by about 1%.
Why “just point it at trading” is harder than it sounds:
Trading success cannot be verified by a tidy, stationary metric the way matrix-multiplication speed can.
To adapt AlphaEvolve you would need—before the first experiment can run—all of the following,
🕹 A high-fidelity, deterministic market simulator:
It must model latency, slippage, margin and order-book micro-structure, because the evaluator has to produce exactly the same score each time it is called.
🔮 Forward-looking robustness tests:
An evaluator based only on historical P&L will be gamed by curve-fitting. You have to embed walk-forward splits, stress regimes and position-level risk limits.
🎯 Clear multi-objective criteria:
Real desks care about turnover, draw-down, capacity and compliance as much as raw Sharpe. Those must be baked into the score or AlphaEvolve will ignore them.
Without this groundwork AlphaEvolve will happily evolve strategies that exploit quirks of your back-test rather than patterns that survive live markets
Why human logic still matters:
At Algocrat AI we rely on logic and theoretical research to anchor every strategy.
AlphaEvolve can mutate that logic into something less transparent if the opaque variant scores better, so a human still has to:
📝 Design the evaluator to reward interpretability and parsimony
👀 Code-review the winners before capital is allocated
🔄 Retire or retrain strategies the moment live performance diverges
In short, the human must be smarter than the agent at defining “robust”.
AlphaEvolve supplies raw search horsepower, not market insight.
Is AlphaEvolve available yet?
As of May 2025, AlphaEvolve is in a closed Early-Access Programme for academic partners.
Google has invited researchers to register interest but has not announced a public cloud SKU or pricing.
Here's the bottom line:
AlphaEvolve is a promising addition to the quantitative toolbox.
Once it becomes publicly accessible you could slot it into an existing research pipeline, provided you invest the time to build a bullet-proof trading evaluator.
Until then, treat it as experimental infrastructure rather than a turnkey trading edge.
Why is this important to you?
At Algocrat AI, we're constantly studying the latest breakthroughs in AI — not just to understand them, but to apply them.
Our mission is to take real innovation and embed it directly into our systems — making them smarter, faster, and more reliable with every iteration.
The kind of edge you can access by joining us today:
👉 Click here to apply now
Best,
The Algocrat AI Team
P.S. What's interesting is that there is a separate AlphaEvolve tool in fintech made for the specific purpose of finding novel trading systems. Not sure if Google knows about this, but it's mentioned that a patent was even filed for this system back in 2021.
Google DeepMind
AlphaEvolve: A Gemini-powered coding agent for designing advanced algorithms
New AI agent evolves algorithms for math and practical applications in computing by combining the creativity of large language models with automated evaluators
🎥 How This NYC Engineer Made 80% In 8 Months with Algocrat AI [Video Testimonial]
We’re launching a new series of one-on-one interviews with real Algocrat AI clients — so you can hear directly from them what’s possible when algorithmic trading is done right.
First up: Luca, an engineer based in New York, who joined after closely watching the strategy’s performance for six months.
Since joining in October 2024 with a $25,000 initial investment, he’s made over $20,000 in profit!
That's an incredible 80% return — all without the anxiety and stress that manual trading used to bring.
All thanks to, in his own words, a "money-making machine" he trusts, doing the heavy lifting in the background.
Watch Luca walk through his experience and results here:
👉 Click here to watch the video testimonial
Best,
The EasyAlgos AI Team
We’re launching a new series of one-on-one interviews with real Algocrat AI clients — so you can hear directly from them what’s possible when algorithmic trading is done right.
First up: Luca, an engineer based in New York, who joined after closely watching the strategy’s performance for six months.
Since joining in October 2024 with a $25,000 initial investment, he’s made over $20,000 in profit!
That's an incredible 80% return — all without the anxiety and stress that manual trading used to bring.
All thanks to, in his own words, a "money-making machine" he trusts, doing the heavy lifting in the background.
Watch Luca walk through his experience and results here:
👉 Click here to watch the video testimonial
Best,
The EasyAlgos AI Team
YouTube
How This NYC Engineer Made 80% In 8 Months with Crypto Copy-Trading: Luca’s Algocrat AI Story
In this episode, we sit down with Luca — an engineer based in New York — to hear how he made over $16,994 in profit with an initial investment of $25,000, in just 8 months, using Algocrat AI.
Luca shares his full journey:
• His background and initial doubts…
Luca shares his full journey:
• His background and initial doubts…
🎥 This Crypto Trader Made 87% in 10 Months, Beating the Market in His Sleep with Algocrat AI [Video Testimonial]
We’re continuing our series of one-on-one interviews with real Algocrat AI clients.
Today, meet Nick — a full-time professional who struggled with manual trading due to time zone challenges in New Zealand.
He wanted a solution that didn’t require late nights, constant monitoring, or giving up control of his capital.
After finding Algocrat AI and connecting his own brokerage account, everything changed:
- In just 10 months, Nick earned an 87.92% return
- He made $21,981 and already withdrew a large part of the profits
- He had a maximum drawdown of just 15.49% during this period
- As he puts it now, he’s almost “playing with house money”
- He now trades while he sleeps, and calls it “a very fruitful investment”
Nick is also clear-eyed about the nature of this kind of trading.
He sees it as an alternative type of investment — one with ups and downs, but with strong potential if approached with the right mindset.
His advice? Stick with it, don’t panic during dips, and trust the long-term process.
Watch Nick walk through his experience and results here:
👉 Click here to watch the video testimonial
Best,
The EasyAlgos AI Team
We’re continuing our series of one-on-one interviews with real Algocrat AI clients.
Today, meet Nick — a full-time professional who struggled with manual trading due to time zone challenges in New Zealand.
He wanted a solution that didn’t require late nights, constant monitoring, or giving up control of his capital.
After finding Algocrat AI and connecting his own brokerage account, everything changed:
- In just 10 months, Nick earned an 87.92% return
- He made $21,981 and already withdrew a large part of the profits
- He had a maximum drawdown of just 15.49% during this period
- As he puts it now, he’s almost “playing with house money”
- He now trades while he sleeps, and calls it “a very fruitful investment”
Nick is also clear-eyed about the nature of this kind of trading.
He sees it as an alternative type of investment — one with ups and downs, but with strong potential if approached with the right mindset.
His advice? Stick with it, don’t panic during dips, and trust the long-term process.
Watch Nick walk through his experience and results here:
👉 Click here to watch the video testimonial
Best,
The EasyAlgos AI Team
YouTube
This Crypto Trader Made 87.92% in 10 Months, Beating the Market in His Sleep with Algocrat AI
Meet Nick — a full-time professional who struggled with manual trading due to time zone challenges in New Zealand.
He wanted a solution that didn’t require late nights, constant monitoring, or giving up control of his capital.
After finding Algocrat AI…
He wanted a solution that didn’t require late nights, constant monitoring, or giving up control of his capital.
After finding Algocrat AI…
🎥 How This U.S. Algo Trader Quietly Made 92.34% in Just 10 Months Using Algocrat AI [Video Testimonial]
In this interview, John — a seasoned American investor with decades of experience in equities, options, real estate, and venture capital — shares how he transformed a $25,000 investment into over $48,000 in just 10 months using Algocrat AI.
Tired of the stress and emotion of manual trading, John turned to automation.
What followed was a hands-off, high-performance journey powered by algorithmic precision.
Watch as he breaks down:
- How in just 10 months, he earned a 92.34% return
- How he made $23,084, nearly doubling his account — from $25,000 to slightly over $48,000
- How he experienced a maximum drawdown of 25.82% during this period and what he did about it
- And why, as he puts it, Algocrat AI "far outpaces any other tool" he's used in his investing career
But it wasn’t all smooth sailing at first.
John shares how, just after joining, his account went into a -25% drawdown.
Instead of panicking, he held steady — a decision that paid off massively.
This moment became a turning point, and it highlights a crucial lesson: Algocrat AI's strategy is a long-term one.
There will be drawdowns and flat periods.
What matters is staying disciplined and trusting the system to do what it was built for.
Whether you’re a seasoned investor or exploring automated trading for the first time, John’s experience offers rare insight into the real-world impact of top-performing, AI-driven trading.
Watch John walk through his experience and results here:
👉 Click here to watch the video testimonial
Best,
The EasyAlgos AI Team
In this interview, John — a seasoned American investor with decades of experience in equities, options, real estate, and venture capital — shares how he transformed a $25,000 investment into over $48,000 in just 10 months using Algocrat AI.
Tired of the stress and emotion of manual trading, John turned to automation.
What followed was a hands-off, high-performance journey powered by algorithmic precision.
Watch as he breaks down:
- How in just 10 months, he earned a 92.34% return
- How he made $23,084, nearly doubling his account — from $25,000 to slightly over $48,000
- How he experienced a maximum drawdown of 25.82% during this period and what he did about it
- And why, as he puts it, Algocrat AI "far outpaces any other tool" he's used in his investing career
But it wasn’t all smooth sailing at first.
John shares how, just after joining, his account went into a -25% drawdown.
Instead of panicking, he held steady — a decision that paid off massively.
This moment became a turning point, and it highlights a crucial lesson: Algocrat AI's strategy is a long-term one.
There will be drawdowns and flat periods.
What matters is staying disciplined and trusting the system to do what it was built for.
Whether you’re a seasoned investor or exploring automated trading for the first time, John’s experience offers rare insight into the real-world impact of top-performing, AI-driven trading.
Watch John walk through his experience and results here:
👉 Click here to watch the video testimonial
Best,
The EasyAlgos AI Team
YouTube
This U.S. Algo Trader Quietly Made 92.34% in Just 10 Months Using Algocrat AI's Crypto Copy-Trading
In this interview, John — a seasoned American investor with decades of experience in equities, options, real estate, and venture capital — shares how he transformed a $25,000 investment into over $48,000 in just 10 months using Algocrat AI.
Tired of the…
Tired of the…
📊 -7.76% / June 2025 [Monthly Performance]
Hi,
June was a tough month, with Algocrat AI posting a -7.76% loss.
While it’s never easy to share a loss, it's a good reminder that Algocrat AI is a professional algorithmic trading solution, and like all such systems, it includes ups and downs, including months and quarters with losses.
We remain fully focused on what matters most:
Ongoing research, development, testing, and optimization to help our systems better adapt to current market conditions.
We’re also exploring the possibility of expanding into other asset classes, with the goal of enhancing portfolio diversification over the long term.
We want to thank all our clients who continue to stay the course and trust the process—even through the more difficult months.
As history has shown, discipline and long-term consistency often prevail.
As always, for full transparency, you can review our verified MyFxBook track record here:
🔗 Click Here To Access Our MyFxBook Track Record
Best regards,
The Algocrat AI Team
Hi,
June was a tough month, with Algocrat AI posting a -7.76% loss.
While it’s never easy to share a loss, it's a good reminder that Algocrat AI is a professional algorithmic trading solution, and like all such systems, it includes ups and downs, including months and quarters with losses.
We remain fully focused on what matters most:
Ongoing research, development, testing, and optimization to help our systems better adapt to current market conditions.
We’re also exploring the possibility of expanding into other asset classes, with the goal of enhancing portfolio diversification over the long term.
We want to thank all our clients who continue to stay the course and trust the process—even through the more difficult months.
As history has shown, discipline and long-term consistency often prevail.
As always, for full transparency, you can review our verified MyFxBook track record here:
🔗 Click Here To Access Our MyFxBook Track Record
Best regards,
The Algocrat AI Team
🎥 From Lockdowns to 55% in 6 Months: How This UK Crypto Trader Plans His Retirement with Algocrat AI [Video Testimonial]
When COVID lockdowns hit, Andrew — a senior IT consultant and founder of his own tech firm — lost 12 to 18 months of contracts. That wake-up call forced him to rethink everything.
He turned to trading, spent years learning the hard way, and eventually found the one solution that actually worked: Algocrat AI.
In January 2025, he connected his $25,000 live account. Six months later, he's up over 55%.
But it didn’t start smooth.
Right after joining, his account went into a sharp drawdown.
Instead of panicking, Andrew did what few traders manage to do — he sat tight. That single decision led to a complete turnaround.
In this honest, in-depth interview, Andrew walks you through:
- His background in IT consulting and why he started exploring algorithmic trading
- Why he waited on the sidelines for 6 months before joining
- How he earned over 55% in just 6 months, with +25% in only 2 days during a Bitcoin breakout
- What happened during the early drawdown, and why patience was key
- Why he calls Algocrat’s business model “a win-win” that only makes money when you do
- His long-term plan to double the account, withdraw half, and compound the rest
- The mindset shift every trader needs
Watch Andrew walk through his experience and results here:
👉 Click here to watch the video interview now
Best,
The Algocrat AI Team
When COVID lockdowns hit, Andrew — a senior IT consultant and founder of his own tech firm — lost 12 to 18 months of contracts. That wake-up call forced him to rethink everything.
He turned to trading, spent years learning the hard way, and eventually found the one solution that actually worked: Algocrat AI.
In January 2025, he connected his $25,000 live account. Six months later, he's up over 55%.
But it didn’t start smooth.
Right after joining, his account went into a sharp drawdown.
Instead of panicking, Andrew did what few traders manage to do — he sat tight. That single decision led to a complete turnaround.
In this honest, in-depth interview, Andrew walks you through:
- His background in IT consulting and why he started exploring algorithmic trading
- Why he waited on the sidelines for 6 months before joining
- How he earned over 55% in just 6 months, with +25% in only 2 days during a Bitcoin breakout
- What happened during the early drawdown, and why patience was key
- Why he calls Algocrat’s business model “a win-win” that only makes money when you do
- His long-term plan to double the account, withdraw half, and compound the rest
- The mindset shift every trader needs
Watch Andrew walk through his experience and results here:
👉 Click here to watch the video interview now
Best,
The Algocrat AI Team
YouTube
From Lockdowns to 55% in 6 Months: How This UK Crypto Trader Plans His Retirement with Algocrat AI
When COVID lockdowns hit, Andrew — a senior IT consultant and founder of his own tech firm — lost 12 to 18 months of contracts. That wake-up call forced him to rethink everything.
He turned to trading, spent years learning the hard way, and eventually found…
He turned to trading, spent years learning the hard way, and eventually found…
🎥 How This Smart Software Engineer Made 53.51% in 11 Months with Algocrat AI [Video Testimonial]
In this interview, Ilia — a seasoned software engineer with a background in conservative, long-term investing — explains why he decided to allocate a portion of his portfolio to automated crypto trading with Algocrat AI.
For years, Ilia focused on diversified ETFs and traditional assets, keeping risk to a minimum.
But he also knew that a small, high-risk allocation was essential for potential long-term growth.
In this honest conversation, Ilia shares:
- How he earned over 53% in 11 months
- Why a conservative investor chose to diversify into crypto with Algocrat
- The importance of understanding risk and keeping a long-term perspective
- His real experience over almost one year: results, drawdowns, and mindset
- How he mentally handles market fluctuations and trusts the system
- What sets Algocrat apart from other automated trading solutions
And highlights a key principle:
“You need to know the percentage of your portfolio you’re risking, and then let the system do its job.
Don’t check it every day.
Think long term.”
Watch Ilia walk through his experience and results here:
👉 Click here to watch the video interview now
Best,
The Algocrat AI Team
In this interview, Ilia — a seasoned software engineer with a background in conservative, long-term investing — explains why he decided to allocate a portion of his portfolio to automated crypto trading with Algocrat AI.
For years, Ilia focused on diversified ETFs and traditional assets, keeping risk to a minimum.
But he also knew that a small, high-risk allocation was essential for potential long-term growth.
In this honest conversation, Ilia shares:
- How he earned over 53% in 11 months
- Why a conservative investor chose to diversify into crypto with Algocrat
- The importance of understanding risk and keeping a long-term perspective
- His real experience over almost one year: results, drawdowns, and mindset
- How he mentally handles market fluctuations and trusts the system
- What sets Algocrat apart from other automated trading solutions
And highlights a key principle:
“You need to know the percentage of your portfolio you’re risking, and then let the system do its job.
Don’t check it every day.
Think long term.”
Watch Ilia walk through his experience and results here:
👉 Click here to watch the video interview now
Best,
The Algocrat AI Team
YouTube
How This Smart Software Engineer Made 53.51% in 11 Months with Algocrat AI Crypto Copy-Trading
In this interview, Ilia — a seasoned software engineer with a background in conservative, long-term investing — explains why he decided to allocate a portion of his portfolio to automated crypto trading with Algocrat AI.
For years, Ilia focused on diversified…
For years, Ilia focused on diversified…
📊 +14.26% / July 2025 [Monthly Performance]
After a few challenging months, Algocrat AI came back strong in July with an account growth of +14.26%
While maintaining a maximum drawdown of just 6.05%
Once again, this is proof of why staying the course matters.
Even after periods of drawdown, a disciplined, professional system like ours, delivers results over time.
Algocrat AI is built as a long-term solution for serious traders.
July’s performance is another clear example of that.
As always, for full transparency, you can review our verified MyFxBook track record here:
🔗 Click Here To Access Our MyFxBook Track Record
Best regards,
The Algocrat AI Team
After a few challenging months, Algocrat AI came back strong in July with an account growth of +14.26%
While maintaining a maximum drawdown of just 6.05%
Once again, this is proof of why staying the course matters.
Even after periods of drawdown, a disciplined, professional system like ours, delivers results over time.
Algocrat AI is built as a long-term solution for serious traders.
July’s performance is another clear example of that.
As always, for full transparency, you can review our verified MyFxBook track record here:
🔗 Click Here To Access Our MyFxBook Track Record
Best regards,
The Algocrat AI Team
🎥 How This Tech Exec From NYC Made 36% in 6 Months with Crypto Copy-Trading: Abhi’s Algocrat AI Story
In this interview, Abhi — a Director of Engineering with over 15 years in the New York tech scene — shares why he decided to allocate a portion of his capital to automated crypto trading with Algocrat AI.
After a decade of investing in stocks and options, Abhi became curious about algorithmic trading and started exploring the world of Expert Advisors and MetaTrader platforms.
He tested various strategies and even ran his own VPS setup before discovering Algocrat AI earlier this year.
In this detailed conversation, Abhi shares:
- How he gained over 36% in 6 months
- Why he believes algo trading is the future of investing
- How he mentally handled early drawdowns and stuck with the system
- What stood out about Algocrat’s transparency and communication
- Why he feels Algocrat’s approach aligns with investor interests
- His take on realistic expectations, risk management, and automation
And highlights a key insight:
“Some days you have losses, some days you have gains. But over time, the steady upward curve is what matters most.”
Hear it from him:
👉 Click here to watch the video interview now
Best,
The Algocrat AI Team
In this interview, Abhi — a Director of Engineering with over 15 years in the New York tech scene — shares why he decided to allocate a portion of his capital to automated crypto trading with Algocrat AI.
After a decade of investing in stocks and options, Abhi became curious about algorithmic trading and started exploring the world of Expert Advisors and MetaTrader platforms.
He tested various strategies and even ran his own VPS setup before discovering Algocrat AI earlier this year.
In this detailed conversation, Abhi shares:
- How he gained over 36% in 6 months
- Why he believes algo trading is the future of investing
- How he mentally handled early drawdowns and stuck with the system
- What stood out about Algocrat’s transparency and communication
- Why he feels Algocrat’s approach aligns with investor interests
- His take on realistic expectations, risk management, and automation
And highlights a key insight:
“Some days you have losses, some days you have gains. But over time, the steady upward curve is what matters most.”
Hear it from him:
👉 Click here to watch the video interview now
Best,
The Algocrat AI Team
YouTube
How This Tech Exec From NYC Made 36% in 6 Months with Crypto Copy-Trading: Abhi’s Algocrat AI Story
In this interview, Abhi — a Director of Engineering with over 15 years in the New York tech scene — shares why he decided to allocate a portion of his capital to automated crypto trading with Algocrat AI.
After a decade of investing in stocks and options…
After a decade of investing in stocks and options…
📊 -15.48% / August 2025 [Monthly Performance]
August marked our worst month of 2025, with Algocrat AI posting a -15.48% loss.
While these moments are difficult, they are also an important reminder of the nature of long-term, professional algorithmic trading solutions.
As we’ve always made clear, losing months—and even quarters—are part of the process.
Algocrat AI is designed for serious, long-term traders, not short-term speculators.
Drawdowns are not a sign of failure, but a natural part of any high-performance system navigating complex and ever-changing market conditions.
What’s next?
Rest assured, our team is working intensively behind the scenes. We're:
- Conducting deep research and development
- Exploring strategy updates to better adapt to current crypto market dynamics
- Considering portfolio expansion into other asset classes for improved diversification
We’ll be releasing a detailed market analysis soon, where we’ll share our findings and outline our plan moving forward.
For full transparency, our verified MyFxBook is always available:
🔗 Click Here To Access Our MyFxBook Track Record
To our clients who continue to stay the course: thank you.
These difficult periods are where conviction matters most—and history has shown time and again that staying disciplined is what leads to long-term success.
Best regards,
The Algocrat AI Team
August marked our worst month of 2025, with Algocrat AI posting a -15.48% loss.
While these moments are difficult, they are also an important reminder of the nature of long-term, professional algorithmic trading solutions.
As we’ve always made clear, losing months—and even quarters—are part of the process.
Algocrat AI is designed for serious, long-term traders, not short-term speculators.
Drawdowns are not a sign of failure, but a natural part of any high-performance system navigating complex and ever-changing market conditions.
What’s next?
Rest assured, our team is working intensively behind the scenes. We're:
- Conducting deep research and development
- Exploring strategy updates to better adapt to current crypto market dynamics
- Considering portfolio expansion into other asset classes for improved diversification
We’ll be releasing a detailed market analysis soon, where we’ll share our findings and outline our plan moving forward.
For full transparency, our verified MyFxBook is always available:
🔗 Click Here To Access Our MyFxBook Track Record
To our clients who continue to stay the course: thank you.
These difficult periods are where conviction matters most—and history has shown time and again that staying disciplined is what leads to long-term success.
Best regards,
The Algocrat AI Team
📉 Here’s Why Performance Is Down, And What Comes Next [Market Analysis]
As you have probably noticed, recent Algocrat AI results have been below our long-term average.
In this post, we explain the market backdrop and how we’ve responded.
First, the stats:
Our 6-month rolling risk-adjusted performance is roughly where it was in late 2023 and in our 2016 tester runs.
These are also the two least-volatile years in all of Bitcoin’s history.
This is not a coincidence, but rather a direct indication of the cause of the current underperformance.
What does it indicate?
Historically, crypto markets have exhibited momentum, which is why momentum-oriented approaches have made sense, while mean-reversion variants have generally underperformed.
Crypto has been maturing, and volatility has compressed.
So far this year, Bitcoin’s realized volatility has hovered near historical lows, similar to 2016 and 2023.
While this is only the third such low-vol period in ~15 years, we expect to see more of them as the market deepens.
Why is that relevant?
For momentum traders, the observable effect is a thinner opportunity set.
Lower volatility typically reduces gross returns, all else equal.
Since 2020, we’ve averaged ~200% gross per year publicly, and our best calendar year to date, 2024, ended above 300%.
It’s plausible we’re operating near the limit for this approach.
After all, we haven’t been able to find anyone who outperformed our trading on Bitcoin and Ethereum publicly since 2020.
And that has always remained our goal: to operate near the risk-return efficient frontier of crypto momentum.
But if the frontier becomes lower, so do our results, there is no way to avoid this.
How did 2024 deliver record results despite relatively muted volatility?
Two reasons,
1. Trend persistence and breadth don’t move one-for-one with volatility,
2. We shipped one of the largest system updates in Algocrat AI’s history in 2023, with ongoing refinements.
The stack continues to evolve toward the attainable frontier.
Because we expect more low-volatility regimes, we retuned the system this summer and rolled the changes into live accounts after a multi-month research cycle.
The trade-off is intentional: give up some upside in high-volatility spikes in exchange for better average outcomes in quieter markets.
Some of these changes are subtle, while others could have already been noticed by you.
Here's our plan moving forward:
In parallel, we continue to work on diversification.
Robust, public systems on major FX pairs are live and have performed well this year.
Given our deep background in FX, expanding to additional liquid markets is a natural next step for client value.
We’re also testing alternative models for BTC and ETH, several of which have been battle-tested in production.
However, as always, we prefer to triple-test everything before making it public.
Once we roll out some of these to the public, we'll announce it right away.
Best,
The Algocrat AI Team
As you have probably noticed, recent Algocrat AI results have been below our long-term average.
In this post, we explain the market backdrop and how we’ve responded.
First, the stats:
Our 6-month rolling risk-adjusted performance is roughly where it was in late 2023 and in our 2016 tester runs.
These are also the two least-volatile years in all of Bitcoin’s history.
This is not a coincidence, but rather a direct indication of the cause of the current underperformance.
What does it indicate?
Historically, crypto markets have exhibited momentum, which is why momentum-oriented approaches have made sense, while mean-reversion variants have generally underperformed.
Crypto has been maturing, and volatility has compressed.
So far this year, Bitcoin’s realized volatility has hovered near historical lows, similar to 2016 and 2023.
While this is only the third such low-vol period in ~15 years, we expect to see more of them as the market deepens.
Why is that relevant?
For momentum traders, the observable effect is a thinner opportunity set.
Lower volatility typically reduces gross returns, all else equal.
Since 2020, we’ve averaged ~200% gross per year publicly, and our best calendar year to date, 2024, ended above 300%.
It’s plausible we’re operating near the limit for this approach.
After all, we haven’t been able to find anyone who outperformed our trading on Bitcoin and Ethereum publicly since 2020.
And that has always remained our goal: to operate near the risk-return efficient frontier of crypto momentum.
But if the frontier becomes lower, so do our results, there is no way to avoid this.
How did 2024 deliver record results despite relatively muted volatility?
Two reasons,
1. Trend persistence and breadth don’t move one-for-one with volatility,
2. We shipped one of the largest system updates in Algocrat AI’s history in 2023, with ongoing refinements.
The stack continues to evolve toward the attainable frontier.
Because we expect more low-volatility regimes, we retuned the system this summer and rolled the changes into live accounts after a multi-month research cycle.
The trade-off is intentional: give up some upside in high-volatility spikes in exchange for better average outcomes in quieter markets.
Some of these changes are subtle, while others could have already been noticed by you.
Here's our plan moving forward:
In parallel, we continue to work on diversification.
Robust, public systems on major FX pairs are live and have performed well this year.
Given our deep background in FX, expanding to additional liquid markets is a natural next step for client value.
We’re also testing alternative models for BTC and ETH, several of which have been battle-tested in production.
However, as always, we prefer to triple-test everything before making it public.
Once we roll out some of these to the public, we'll announce it right away.
Best,
The Algocrat AI Team
📊 +10.91% / September 2025 [Monthly Performance]
We’re excited to share that September was a strong recovery month for Algocrat AI, with an account growth of +10.91% and a maximum drawdown of just 6.25%.
Following August’s challenging performance, this month not only recovered previous losses — it also allowed us to close Q3 in profit, a testament to the robustness and resilience of the system.
This is yet another reminder that drawdowns are part of the journey, and staying the course through the tougher periods is key to capturing long-term gains.
As we move into Q4, our focus remains razor-sharp behind the scenes:
• Diving deep into market behavior and algorithmic adjustments to align better with evolving crypto conditions
• Fine-tuning existing models for greater responsiveness and resilience across different volatility regimes
• Working on new strategy enhancements and asset class diversification to strengthen long-term performance and stability
As always, you can review our full, transparent performance on our verified MyFxBook:
🔗 Click Here To Access Our MyFxBook Track Record
Thank you for staying the course — and here’s to a strong Q4 ahead!
Best regards,
The Algocrat AI Team
We’re excited to share that September was a strong recovery month for Algocrat AI, with an account growth of +10.91% and a maximum drawdown of just 6.25%.
Following August’s challenging performance, this month not only recovered previous losses — it also allowed us to close Q3 in profit, a testament to the robustness and resilience of the system.
This is yet another reminder that drawdowns are part of the journey, and staying the course through the tougher periods is key to capturing long-term gains.
As we move into Q4, our focus remains razor-sharp behind the scenes:
• Diving deep into market behavior and algorithmic adjustments to align better with evolving crypto conditions
• Fine-tuning existing models for greater responsiveness and resilience across different volatility regimes
• Working on new strategy enhancements and asset class diversification to strengthen long-term performance and stability
As always, you can review our full, transparent performance on our verified MyFxBook:
🔗 Click Here To Access Our MyFxBook Track Record
Thank you for staying the course — and here’s to a strong Q4 ahead!
Best regards,
The Algocrat AI Team
As you may have already seen, the crypto market nosedived right after the U.S. administration announced new tariffs.
Billions were wiped out in hours as trading firms and crypto institutions faced both the market crash and platform outages.
There are even (still unconfirmed) rumors of a major crypto liquidity provider going under.
What exactly happened, why was it dangerous, and what were we doing during it?
Just hours before the tariff announcement, Trump’s associated token WLFI began to plunge — likely due to insider selling by people who knew what was coming.
It’s a striking example of how political influence and crypto markets can mix in unsettling ways.
In short: insider trading meets presidential PR.
Why did the crash happen?
It was a perfect storm: a macroshock triggered by the tariff news, amplified by insider trading, record-high open interest, and Binance technical issues — including a pricing glitch on USDe/wBETH/BNSOL pairs and a short API outage.
Combined, these factors unleashed a cascade of liquidations like we’ve never seen before.
How bad was it really?
In dollar terms, this was one of the worst liquidation events in crypto history: $19 billion wiped out in a single day — shattering previous records.
Most of the pain came from altcoins, while Bitcoin and Ethereum held relatively better.
But make no mistake: Bitcoin still saw its steepest one-day drop since the FTX collapse in November 2022.
The average altcoin drawdown that day hit 69%, a brutal reminder of how risky low-liquidity tokens can be.
When liquidity dries up, prices can collapse within minutes — and this time, they did.
But that's not all:
Perhaps the most dangerous moment wasn’t even the crash itself — it was the Binance API outage.
For a while, traders couldn’t close their positions, even if they wanted to.
Some Forex brokers who rely on Binance liquidity also experienced massive price gaps.
In fast markets, being locked out can be dangerous.
How did this affect us?
At Algocrat AI, we were completely out of the market during this chaos, which means we haven't lost anything.
When we spot unexplained price gaps, unusual volatility, or signs of technical instability, we stay on the sidelines.
It's always better to be safe than sorry in such cases.
That's one of the reasosn why we've been able to achieve unmatched live results since 2020.
To conclude:
This crash will go down as one of the most chaotic moments of 2025’s crypto cycle — a sharp reminder that in this market, risk never sleeps.
Stay alert, stay skeptical, and never underestimate how fast things can break when macro meets manipulation.
Best,
The Algocrat AI Team
P.S. : When the market turns chaotic, most traders lose. We stayed out — and stayed safe. If you want to trade with a system that knows when not to trade: click here to apply now.
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✨ Our Crypto Portfolio Is Evolving.. [COMING SOON]
All year long, we’ve hinted at what’s been happening behind the scenes.
The research and development,
The testing and optimizing,
The quiet evolution of the systems that power Algocrat AI.
It’s no secret:
The market has changed.
Volatility has compressed.
And yet, throughout one of the most challenging crypto cycles, our portfolio did what few could..
It protected your and our capital.
Its purpose has always been growth, but sustainable growth demands resilience first.
Remaining steady while most systems failed was not by chance — it was by design.
Flat performance in this environment isn't a weakness.
It’s resilience.
Because sometimes, the smartest trade is the one you don’t take.
Behind the scenes, we used this period to go further:
Refining every model.
Rewriting every assumption.
Rebuilding for the market we face today — not the one we knew yesterday.
Over six months ago, we connected a new portfolio to a live account.
Since then, the results have spoken for themselves.
And now, it’s almost time.
In the coming weeks, we’ll begin unveiling what’s next:
• The upcoming portfolio
• The verified live results behind it
• How you’ll be able to access it from day one
A new chapter in the Algocrat AI story is about to begin.
Will you be part of it?
Best,
The Algocrat AI Team
All year long, we’ve hinted at what’s been happening behind the scenes.
The research and development,
The testing and optimizing,
The quiet evolution of the systems that power Algocrat AI.
It’s no secret:
The market has changed.
Volatility has compressed.
And yet, throughout one of the most challenging crypto cycles, our portfolio did what few could..
It protected your and our capital.
Its purpose has always been growth, but sustainable growth demands resilience first.
Remaining steady while most systems failed was not by chance — it was by design.
Flat performance in this environment isn't a weakness.
It’s resilience.
Because sometimes, the smartest trade is the one you don’t take.
Behind the scenes, we used this period to go further:
Refining every model.
Rewriting every assumption.
Rebuilding for the market we face today — not the one we knew yesterday.
Over six months ago, we connected a new portfolio to a live account.
Since then, the results have spoken for themselves.
And now, it’s almost time.
In the coming weeks, we’ll begin unveiling what’s next:
• The upcoming portfolio
• The verified live results behind it
• How you’ll be able to access it from day one
A new chapter in the Algocrat AI story is about to begin.
Will you be part of it?
Best,
The Algocrat AI Team
🌟 Introducing Nova: Our New Crypto Portfolio [COMING SOON]
In our last post, we hinted at an upcoming evolution within Algocrat AI.
Today, it’s time to reveal what’s coming.
Introducing the Nova Portfolio:
Nova isn’t a new version of our existing system — it’s a total redevelopment.
It’s the result of months of live research, testing, and engineering around a single goal:
To create a portfolio that adapts dynamically to any market environment.
Unlike conventional systems that rely on a fixed strategy, Nova analyzes the market from multiple angles:
Volatility, breakout behavior, short-term reversals, and medium-term momentum — and determines which specific systems perform best under current conditions.
Think of it as a “mixture of experts”
Similar to how leading AI models operate:
When given a question, the system routes it to the expert best equipped to answer.
In Nova’s case, the market state is the question — and the algorithm decides which of its internal systems is best suited to trade it.
When conditions change, so does the configuration.
The result:
- Broader diversification
- Smoother trading activity
- Greater consistency across volatility regimes
With Nova, inactivity becomes rare — because where one approach pauses, another takes over.
This is not an iteration.
It’s an evolution — and it’s going live in a few weeks.
Stay tuned.
Best,
The Algocrat AI Team
In our last post, we hinted at an upcoming evolution within Algocrat AI.
Today, it’s time to reveal what’s coming.
Introducing the Nova Portfolio:
Nova isn’t a new version of our existing system — it’s a total redevelopment.
It’s the result of months of live research, testing, and engineering around a single goal:
To create a portfolio that adapts dynamically to any market environment.
Unlike conventional systems that rely on a fixed strategy, Nova analyzes the market from multiple angles:
Volatility, breakout behavior, short-term reversals, and medium-term momentum — and determines which specific systems perform best under current conditions.
Think of it as a “mixture of experts”
Similar to how leading AI models operate:
When given a question, the system routes it to the expert best equipped to answer.
In Nova’s case, the market state is the question — and the algorithm decides which of its internal systems is best suited to trade it.
When conditions change, so does the configuration.
The result:
- Broader diversification
- Smoother trading activity
- Greater consistency across volatility regimes
With Nova, inactivity becomes rare — because where one approach pauses, another takes over.
This is not an iteration.
It’s an evolution — and it’s going live in a few weeks.
Stay tuned.
Best,
The Algocrat AI Team
📈 Nova’s MyFxBook Track Record Now Available [Live Results]
In our recent updates, we introduced Nova — the upcoming portfolio at Algocrat AI.
We’ve shared insights into its design, its adaptive strategy, and how it’s been engineered to align with today’s evolving crypto market conditions.
But as always, results are not something we talk about — they’re something we show.
On live accounts.
Over real market conditions.
Verified by independent third parties.
That’s why today, we’re publishing Nova’s verified MyFxBook track record.
This portfolio was connected to a live account in April, and we’ve waited until now — more than six months later — to make it public.
From April 11th until today, Nova has achieved:
• +35.64% total gain
• 4.32% average monthly return
• 7.39% maximum drawdown
The full track record is now available for review:
🔗 Click Here To Access Nova’s MyFxBook Track Record
Transparency has always been the foundation of Algocrat AI — and this new portfolio continues that legacy.
In our next post, we’ll explain how access will work, both for existing Algocrat AI members and for new users joining during the launch window.
Best,
The Algocrat AI Team
In our recent updates, we introduced Nova — the upcoming portfolio at Algocrat AI.
We’ve shared insights into its design, its adaptive strategy, and how it’s been engineered to align with today’s evolving crypto market conditions.
But as always, results are not something we talk about — they’re something we show.
On live accounts.
Over real market conditions.
Verified by independent third parties.
That’s why today, we’re publishing Nova’s verified MyFxBook track record.
This portfolio was connected to a live account in April, and we’ve waited until now — more than six months later — to make it public.
From April 11th until today, Nova has achieved:
• +35.64% total gain
• 4.32% average monthly return
• 7.39% maximum drawdown
The full track record is now available for review:
🔗 Click Here To Access Nova’s MyFxBook Track Record
Transparency has always been the foundation of Algocrat AI — and this new portfolio continues that legacy.
In our next post, we’ll explain how access will work, both for existing Algocrat AI members and for new users joining during the launch window.
Best,
The Algocrat AI Team