📊 +52.76% / January 2026 [Monthly Performance]
After a challenging 2025 at Algocrat AI, a year where we worked nonstop behind the scenes to improve our systems, launch new strategies, and enhance the overall user experience—we’re excited to report that 2026 has started in the best possible way.
Here’s how both portfolios performed this month:
🌪 Legacy Portfolio
+41.34% growth
8.70% maximum drawdown
Achieved a new all-time high after 6 years of live trading
☀️ Nova Portfolio
+11.42% growth
3.84% maximum drawdown
Between both portfolios, we've achieved an extraordinary +52.76% growth in just one month.
A few words from our team:
We want to take a moment to celebrate these results—and to thank and congratulate all of you who stayed with us during 2025.
Your patience, trust, and long-term mindset are now being rewarded.
This is exactly why Algocrat AI is built for serious, long-term traders: because navigating the tougher phases makes moments like this possible.
As always, our live MyFxBook track records remains public for you to verify:
🔗 Click Here To Check Our Track Record Now
Here’s to a powerful 2026 — and more milestones to come.
Best regards,
The Algocrat AI Team
After a challenging 2025 at Algocrat AI, a year where we worked nonstop behind the scenes to improve our systems, launch new strategies, and enhance the overall user experience—we’re excited to report that 2026 has started in the best possible way.
Here’s how both portfolios performed this month:
+41.34% growth
8.70% maximum drawdown
Achieved a new all-time high after 6 years of live trading
+11.42% growth
3.84% maximum drawdown
Between both portfolios, we've achieved an extraordinary +52.76% growth in just one month.
A few words from our team:
We want to take a moment to celebrate these results—and to thank and congratulate all of you who stayed with us during 2025.
Your patience, trust, and long-term mindset are now being rewarded.
This is exactly why Algocrat AI is built for serious, long-term traders: because navigating the tougher phases makes moments like this possible.
As always, our live MyFxBook track records remains public for you to verify:
🔗 Click Here To Check Our Track Record Now
Here’s to a powerful 2026 — and more milestones to come.
Best regards,
The Algocrat AI Team
Please open Telegram to view this post
VIEW IN TELEGRAM
Recently, the cryptocurrency market tanked, while Algocrat AI systems reached an all-time high, delivering 52.76% returns in January.
Just before that, we saw a significant drop in capital behind our systems as our clients were losing confidence.
But is it a coincidence?
First, let's see what happened:
Our systems generated 52.76% overall account growth this month.
We've had profitable trades from mid-January through the end of the month.
The market moved back and forth, and we made money on both long and short positions.
You can see examples of our trading decisions in the screenshots attached to this post.
It's well-known that financial markets are cyclical: periods of mania and euphoria are followed by periods of panic, fear, and corrections.
The same is true with trading systems:
As soon as any trading edge starts making serious money (like Algocrat AI did in 2024, offering whopping 300%+ yearly gross returns),
People from all over the world often rush to that edge, hoping the same high returns will continue.
This can make the edge less pronounced, resulting in a period of lower returns (as we saw in 2025).
That period of lower returns prompts people to reallocate resources to other edges, perhaps even to different markets.
And this, in turn, allows the edge to thrive again.
Is that always the case?
Of course, this doesn't happen exactly this way every time, but the pattern is consistent enough to be worth paying attention to.
And it's partly responsible for a phenomenon we've observed: withdrawals followed by periods of good performance.
That said, this month we've been doing the same thing we've done publicly for the last 6 years: boring, systematic trading.
It's probably not the most profitable way to trade, but it has been consistent for years and has kept risks under control.
That's the most important thing in trading: keep risks controlled, follow a good system, and profits come as a result.
The kind of profits you could be getting if you joined Algocrat AI.
If you're ready to join the winning side:
🔗 Click here to apply now and secure your spot
Best,
The Algocrat AI Team
Please open Telegram to view this post
VIEW IN TELEGRAM
Please open Telegram to view this post
VIEW IN TELEGRAM
"Why aren't you trading the latest trends at Algocrat AI?"
That's the question we've been asked most recently.
Why everyone's asking that:
After reaching an all-time high just a week ago for both the Algocrat AI's Legacy and Nova portfolios, we witnessed wild market movements unlike anything we've seen in a long time.
We've seen a generation of market participants grow up without ever experiencing such a daily sell-off.
For referece, we've compared it to other historical precedents.
You can see an overview of the results in the attached screenshot.
The sell-off:
In short, this has been the 5th-largest daily drop in Binance Futures' history and the largest in the last 3 years.
The last time we saw such a drop was in November 2022, during the FTX collapse.
That said, it was nowhere near the largest drop ever recorded by Binance Futures - almost -40% during the 2020 COVID crash, as shown in the charts attached to this post
Why we stayed out:
Intraday trading in such high volatility is often a gamble.
With overall market volatility reduced, such events are becoming increasingly rare.
The last time such a sell-off occurred was more than 3 years ago.
In other words, if one waits for such events to occur, they'll lose more money trying to catch them and failing than by simply staying on the sidelines.
Why sometimes the best trades are the ones you do not take:
One of the hardest yet most important skills for a trader is recognizing which market conditions are favorable and which aren't.
Our research suggests that periods of extreme volatility are unfavorable for most forms of intraday trading.
That's why we haven't had much trading activity in the last few days.
Have we turned off our systems?
Absolutely not.
Staying out does not mean the systems are idle.
They are always actively monitoring the market.
Nova even had a few profitable trades
But they know, on average, when it's a good time to trade, so they can enter the market with higher conviction and ultimately achieve better results over the long run.
Moreover:
We've recently developed a new system designed for high-volatility conditions.
It made its first trade during this drop, a winning one.
After completing additional testing, we'll likely add it to the Nova portfolio.
If you want to get access while you still can:
🔗 Click here to apply now
Best,
The Algocrat AI Team
Please open Telegram to view this post
VIEW IN TELEGRAM
Please open Telegram to view this post
VIEW IN TELEGRAM
📉 What 13 major BTC crashes tell us about what's next [Market Analysis]
After the last post, many people wondered: what does BTC usually do after a move like this?
Nobody can fully predict the future, but we can look for similar historical events and see what happened next.
For reference: we'll use Binance Futures data for the purposes of this research post.
Futures are useful here because liquidation-driven moves often show up clearly in perp data.
What happened on February 5
February 5 was a classic "capitulation day": a large daily drop, heavy intraday selling, a close near the day's low, and a major activity spike.
There were at least 5 similar historical events in the Bitcoin Futures data.
These were 2020-03-12 (COVID crash), 2022-01-21, 2022-05-09, 2022-06-13, and 2022-11-09 (FTX collapse).
For robustness, we'll also look at a broader sample of 13 historical days where the close-to-close daily return was lower than -10% (and where we have a full 30-day window after the event).
The short-term bounce pattern
One of the main insights: a short-term bounce is common.
Across those 13 -10%+ crash days, the median next-day return is +2.8% (mean +3.7%). So, mean reversion often happens.
But the "second dip" base rate is even higher.
Within the next 30 days after a -10% crash day, BTC traded below the crash-day low at least once in 92% of cases (12/13).
That's why crash-day mean reversion can be profitable but dangerous: the market often bounces first, then retests (and sometimes breaks) the low later.
Why the market can bounce and still go lower
This seems counterintuitive: if a rollback is likely, how can the market usually go lower?
The distribution of outcomes after the crash is two-sided: BTC can rebound sharply and still print a lower low inside the next week/month.
A "risk/opportunity map" makes this obvious: many crash episodes include both +5…+15% upside and -5…-15% downside within the same week.
The February 6 V-bounce
One more nuance: Feb 6 was a strong V-bounce.
In the Binance Futures dataset, the pattern "-10% crash day + next day >= +5%" happened only 4 times historically.
In those cases, the probability of a deep second leg (=5% below the crash low) fell to 25% (1/4), but big pullbacks from the bounce were still common (-11%-24% within 30 days).
The trading takeaway
We've seen numerous analyses predicting both outcomes over the last few days.
However, the statistical evidence doesn't provide a clear answer.
It says: expect a bounce and respect the high retest/volatility risk.
If you trade the rebound, do so with a plan for tails. If you missed the rebound, chasing is usually worse than waiting for pullbacks.
If you don't want to guess and would like to automate the whole process with a time-tested, proven algorithmic approach,
It's as easy as signing up with Algocrat AI:
🔗 Click here to apply now
Best,
The Algocrat AI Team
After the last post, many people wondered: what does BTC usually do after a move like this?
Nobody can fully predict the future, but we can look for similar historical events and see what happened next.
For reference: we'll use Binance Futures data for the purposes of this research post.
Futures are useful here because liquidation-driven moves often show up clearly in perp data.
What happened on February 5
February 5 was a classic "capitulation day": a large daily drop, heavy intraday selling, a close near the day's low, and a major activity spike.
There were at least 5 similar historical events in the Bitcoin Futures data.
These were 2020-03-12 (COVID crash), 2022-01-21, 2022-05-09, 2022-06-13, and 2022-11-09 (FTX collapse).
For robustness, we'll also look at a broader sample of 13 historical days where the close-to-close daily return was lower than -10% (and where we have a full 30-day window after the event).
The short-term bounce pattern
One of the main insights: a short-term bounce is common.
Across those 13 -10%+ crash days, the median next-day return is +2.8% (mean +3.7%). So, mean reversion often happens.
But the "second dip" base rate is even higher.
Within the next 30 days after a -10% crash day, BTC traded below the crash-day low at least once in 92% of cases (12/13).
That's why crash-day mean reversion can be profitable but dangerous: the market often bounces first, then retests (and sometimes breaks) the low later.
Why the market can bounce and still go lower
This seems counterintuitive: if a rollback is likely, how can the market usually go lower?
The distribution of outcomes after the crash is two-sided: BTC can rebound sharply and still print a lower low inside the next week/month.
A "risk/opportunity map" makes this obvious: many crash episodes include both +5…+15% upside and -5…-15% downside within the same week.
The February 6 V-bounce
One more nuance: Feb 6 was a strong V-bounce.
In the Binance Futures dataset, the pattern "-10% crash day + next day >= +5%" happened only 4 times historically.
In those cases, the probability of a deep second leg (=5% below the crash low) fell to 25% (1/4), but big pullbacks from the bounce were still common (-11%-24% within 30 days).
The trading takeaway
We've seen numerous analyses predicting both outcomes over the last few days.
However, the statistical evidence doesn't provide a clear answer.
It says: expect a bounce and respect the high retest/volatility risk.
If you trade the rebound, do so with a plan for tails. If you missed the rebound, chasing is usually worse than waiting for pullbacks.
If you don't want to guess and would like to automate the whole process with a time-tested, proven algorithmic approach,
It's as easy as signing up with Algocrat AI:
🔗 Click here to apply now
Best,
The Algocrat AI Team