Algocrat AI

🔍 FX Brokers vs Binance: What Works Best In 2026 One question dominates Algocrat AI's conversations: should you trade crypto on traditional FX brokers like IC Markets or stick with crypto exchanges like Binance? For hedge funds managing large sums, the answer remains crystal clear — crypto exchanges offer unmatched liquidity. But for retail traders? The landscape has completely shifted. The Great Reversal of 2023-2024 When we first crunched 2023 numbers, FX brokers had wide spreads and poor execution. Binance was the obvious leader. Fast forward to today, and the tables have turned. FX brokers caught up with competitive pricing that often beats even Binance. The Numbers Don't Lie Our latest analysis shows IC Markets now beats Binance for BTC execution costs. While Binance still offers better raw pricing, their commission structure (0.03-0.05% per side on perpetual futures) tips the scale. Even with superior pricing, Binance's total costs exceed IC Markets roughly 75% of the time. Binance isn't completely out of the game. It still claims victory in about 25% of trading scenarios, even with commissions included. Their overnight advantage remains untouchable — zero overnight fees and typically low funding costs for intraday trading. The Fine Print Our analysis compares Binance's low VIP tiers (accessible to most retail traders) against IC Markets' BTCUSD CFDs. We focused on mostly intraday trading patterns. ┃ **Important caveat**: High VIP tier holders or traders keeping positions overnight may still find Binance superior due to lower funding fees. For the average retail trader focused on intraday moves? IC Markets delivers better value in 2026. This shift represents a fundamental change in the retail trading cost structure that most traders haven't recognized yet. Best regards, The Algocrat AI Team

🧭 What’s Next: New Track Record + Precision Accounts [2 of 3] As we explained in our previous post, our analysis made one thing clear: Pepperstone is no longer suitable for our crypto trading infrastructure. So we’re making a decisive shift. We are now strengthening our partnership with IC Markets, the broker that consistently delivered the best execution in our analysis. To start: We are moving our main track record away from Pepperstone and onto one of a long-standing account operating under IC Markets. This is not a new account. It has been running Algocrat algorithms since 2024, compounding over time under real market conditions: 📈 New Official Track Record Introducing “Precision Accounts” At the same time, due to our long-standing relationship with IC Markets, we’ve worked closely with their team to unlock something new: A specialized account type called 'Precision Accounts', built specifically for our clients. These accounts are designed to provide the best possible execution environment within the broker. What You Get - Preferred execution quality - Dedicated liquidity environment - Reduced slippage during normal conditions - Ultra-fast, low-latency execution - No artificial order throttling - Optimized conditions for algorithmic systems - Built for serious algo traders, not casual retail flow How to Access If you want to be part of this setup, reach out to us directly: 📩 accounts@algocrat.ai We’ll guide you through the process and explain how to get access. Best, Algocrat AI Team

🧐 Why our 2025 track record underperformed reality Over the past several months, we’ve been conducting a deep execution analysis across our trading infrastructure at Algocrat AI. What we found explains why, last year, our public track record appeared significantly worse than what many clients actually experienced. The Discovery We analyzed performance across Pepperstone, IC Markets, and Fusion Markets. We selected these brokers because they’re the most widely used among our clients, giving us enough variation in account sizes, currencies, platforms, and risk levels to make the comparison statistically meaningful. The result: Pepperstone showed consistently worse execution, up to ~2.3x worse than the best-performing broker, IC Markets. Over time, small differences in fill prices compound into 20 to 40% worse gross performance annually. Why We Could Finally Compare After migrating to our in-house copy trading system, the same trades now execute across dozens of accounts at the exact same moment. This removed variables like signal timing differences and allowed for clean, apples-to-apples comparisons across brokers. What We Found Across two dozen accounts, - Pepperstone consistently delivered the worst execution prices - Variation within Pepperstone was minimal (most accounts performed similarly poorly) - Larger accounts at other brokers still achieved better execution, ruling out size as the cause Put simply, When the same trade is executed at the same time, Pepperstone almost always gives the worst fill. Impact on Our Track Record Our main track record (hosted on Myfxbook) was running on Pepperstone. This means it significantly underperformed relative to what many clients experienced elsewhere. While the public track record showed flat performance for 2025, many clients at other brokers achieved solid two-digit returns. What We’re Doing We're withdrawing from Pepperstone and will no longer use it. This is just the first step. In the next post, we’ll break down what’s changing, and how we’re optimizing execution going forward. You deserve the best possible trading conditions. We’re making sure you get them. Best, Algocrat AI Team

📈 64.81% In 90 Days [Q1 Performance Report] The first quarter of 2026 is officially in the books, and we're thrilled to share the exceptional results we got at Algocrat AI. After the foundational work we completed throughout 2025—refining our algorithms, enhancing risk management, and strengthening our infrastructure—these numbers represent the payoff our long-term traders have been waiting for. Legacy Portfolio Performance • +46.91% total growth • 8.70% maximum drawdown Our flagship Legacy Portfolio continued its remarkable momentum from January, delivering consistent gains while maintaining disciplined risk management throughout the quarter. Nova Portfolio Performance • +17.90% total growth • 3.84% maximum drawdown The Nova Portfolio demonstrated exactly what it was designed for: steady, controlled growth with minimal volatility—perfect for traders seeking lower-risk exposure. Combined Portfolio Impact: +64.81% Together, both portfolios generated an incredible +64.81% in combined growth during Q1 2026, proving that our dual-portfolio approach delivers results across different risk profiles. To our existing traders: Congratulations! Your patience during our development phase in 2025 is now paying significant dividends. Ready to Join? If you've been watching from the sidelines, Q1 2026 demonstrates why serious traders choose Algocrat AI for consistently unmatched algorithmic trading performance. 👉 Click Here To Apply Now Best regards, The Algocrat AI Team

✨ AI bubble or not, this window won't last forever We recently discussed the AI bubble and how venture capital is heavily subsidizing tools like Claude and OpenAI Codex. This creates a rare opportunity where users get massive productivity gains at artificially low prices. Whether there's a bubble or not, it makes sense to use these tools to their fullest potential right now. The Reliability Problem Is Disappearing Fast Everyone knows AI has reliability issues, but that perception is changing rapidly. Anthropic famously tested their models by having them manage office vending machines — with mixed results at best. However, new AI models with dramatically improved reliability have emerged in recent months. If you tried these tools even three months ago, the latest versions might surprise you. The Coding Experience Has Transformed These appear to be slightly improved versions of previous models, but the actual working experience is completely different. A few months ago, AI-generated code was unreliable and created endless debugging loops that spawned countless memes. Now, with Claude Opus 4.6 or GPT-5.3-Codex, the code simply works most of the time. For most practical use cases, you describe what you need and get working code. Software Developers Aren't Going Anywhere Prediction markets and industry professionals don't expect mass unemployment in software engineering anytime soon. Software developers do much more than write code — they clarify requirements, make trade-offs, and handle production responsibility. AI adoption remains limited by governance and risk concerns, and saved time often gets reinvested into building more software rather than cutting jobs. Time to Act Experienced developers already understand this shift. But if you're a domain expert who never mastered coding, you likely have ideas that AI could now help implement. If you haven't tried these latest tools yet, now is the time to start. 👉 Explore AI-Powered Trading Tools Best, The Algocrat Team

❓Is there an AI bubble, and will It pop? (here's the math) What is an AI bubble burst? Ask 10 people, and you'll get 11 opinions. However, for the purposes of this post, we'll call it a significant, sustained drop in the valuations of leading AI-related companies, supported by official price data and major news outlets Now, let's see what people are most worried about. The first concern among many investors is the high concentration in the U.S. stock market. It's currently at an all-time high, with the 7 biggest stocks (AI-exposed megacaps) comprising a whopping 33% of the S&P 500. In a 500-company index, where only 7 account for a third, that surely can't be good, right? Actually, economic research doesn't support this claim. -Higher Stock Market Concentration Does Not Mean Higher Risk (Acadian, March 2024), - Stock Market Concentration (Morgan Stanley, Jun 4, 2024), - and a variety of other studies show there has been no historical correlation between market concentration and the probability of stock market dips. However, this doesn't mean tail risks remain the same. With higher concentration, markets are more prone to sharper dips because of sudden "black swan" events Another thing people often mention is the very high valuations right now: It's well known that a high CAPE (Shiller cyclically adjusted P/E) has historically been a good indicator of lower-than-average returns going forward. This has been shown by a variety of market research: - Valuation Ratios and the Long-Run Stock Market Outlook (Campbell & Shiller), - Equity Market Focus: Objective Expected Returns (AQR, 2025), - Current Constituents CAPE (Research Affiliates, 2025). This pattern has held many times across different markets: the "lost decade" of the US market after 1999, Japan after 1989, Canada in 2000, and so on. However, "statistically more likely" does not mean "it will happen". And markets can sustain bull runs for a long time before an eventual decline If we look at the substance, the main problem with the current AI wave is simple: Companies are spending huge amounts of money to build AI infrastructure and hire the best available AI talent, while not earning nearly enough to cover those costs. Leaked industry reports support this claim: leading AI labs are burning billions of dollars and, as experts say, don't have a clear strategy for recouping them. The strategy seems to be: "we'll go all-in on AI research, and then figure out how to make money". That's why many AI tools are surprisingly cheap these days. They are so cheap because they are subsidized by venture capital. You can build a working app for just a few dollars using Claude Code or OpenAI Codex because those tools have been paid for by AI investors. A mature, self-funding market would have priced them much higher than they are now Now, to the most important part: How likely is a significant devaluation? Companies are taking this high-stakes gamble not because they are dumb, but because they think they will win big. Of course, nobody knows the answer, and any estimates here would be probabilistic. T hese estimates also depend on the time horizon. Looking at the next 2 years, the estimated chance of a "bubble" by the end of 2026 is roughly 20%, and by the end of 2027 it's 35-40%. There is probably no merit in looking even further, as predictions become increasingly uncertain the longer the time horizon So, the chances of it happening rather soon are there. At the same time, there is likely a greater than 60% chance it won't happen by the end of 2027. If that's true, we'll soon see even higher valuations and spending among the top AI companies. So, people using AI tools are likely to continue being subsidized by venture capital in the coming years. If you can leverage these tools for your work, now is the best time to do it: 👉 Apply for Access Now Best, The Algocrat AI Team

🤨 ATH Portfolios, But Negative Sentiment? (The Paradox) January and February were marked by strong performance in both the Legacy and Nova Algocrat AI portfolios. However, within the Algocrat AI community, the sentiment has been mostly negative recently. Why are people often upset even though both portfolios are at an all-time high and are profitable? The Negativity Bias There are two practical reasons for this. First, we are evolutionarily inclined toward negativity, which is why most news outlets focus more on bad news than good news. It's also why people with any issues are more likely to actively participate in chats. Recently, many users have been outperforming our Legacy track record. However, only those with matching or worse results responded when asked for their outcomes. When everything is going well, people tend to stay quiet, but when problems arise, they are more likely to join the discussion. Loss Aversion at Work The second reason is plain old loss aversion. The gist is that people react more strongly to losing money than to gaining the same amount. Most people have this tendency, and those who don't are often professionally deformed (e.g., professional traders). Again, it appears we are evolutionarily predisposed to it. The Daily Monitoring Problem What does this look like in practice? When someone closely monitors a trading account, they often see both profits and losses. As mentioned earlier, people tend to feel losses more strongly than profits. That's why, even if there's a profit overall, most people perceive the results as negative when they watch their trading closely. The Simple Solution If the day-to-day swings are stressing you out, that's not a character flaw. It's a very normal human response. The simplest fix is to zoom out: check results less often, follow the process, and judge performance over longer windows. You'll usually feel better. Best, The Algocrat AI Team

🆚 Nova vs Legacy: The number's dont lie [Performance Analysis] Recently, our Legacy portfolio reached an all-time high, riding January's trends. In this short burst, it outperformed everything else, including our Nova portfolio. However, a system's performance can't be measured by just 1 or 2 months of trading. To do that reliably, we need at least 6 months of live results or more. So, let's compare the Nova and Legacy portfolios head-to-head over a longer period and see the differences. The Numbers Don't Lie As shown in the attached screenshot, since June 2025, our Legacy portfolio has achieved an average annual return (CAGR) of 1.0305^12-1=43.4%, with a drawdown of 26.67%. That's far from the best Legacy account we have, but we'll use it for reference. In the same period, Nova achieved a much higher CAGR of 1.0488^12-1=77.1%, with a much lower drawdown of only 11.17%. Risk-Adjusted Performance When we adjust profitability for the drawdown in the same period, it's 43.4%/26.67%=1.63 for Legacy and 77.1%/11.17%=6.90. 1.63 vs. 6.90! Nova shows clear superiority here. The question is whether this will always be true. Of course, nobody knows the future, but we have some thoughts. How Each System Works Nova has been designed to be an "all-weather" portfolio. First, it carefully analyzes the current market microstructure to understand the context. Then it selectively employs only those systems that tend to perform better in that context. On the other hand, the Legacy portfolio primarily targets short-term trends. When we have an abundance of such trends, as in 2024 or January 2026, we see significant outperformance relative to Nova and almost everything else. However, when the market is less certain and lacks many short-term trend opportunities, it tends to underperform relative to Nova. The Verdict So, which one is better? The answer depends on the current market context. If the market is favorable for short-term trends, it's Legacy. But when the market is different, it's Nova. Since both have been shown to be profitable in the long run, we keep both of these systems. 👉 Apply for Access Now Best, The Algocrat AI Team

📉 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

💥 Big Crash. No Panic. [Market Analysis] "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

💵How We Made +52.76% In Just 31 Days [Performance Analysis] 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

📊 +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

🦾 We Expanded the 'Legacy' Portfolio. Here’s Why. [Strategy Update] Over the past year, we've been working hard behind the scenes to improve all aspects of our cryptocurrency trading at Algocrat AI. This includes determining optimal points of entry and exit, selecting assets and their proportions, understanding how execution varies across venues, and analyzing market changes over the last 1-3 years to identify the most likely trends and the adaptations to them. After analyzing extensive data, we've decided to add a different version of the systems to our Legacy portfolio. Why we decided to expand it: This version generally performs better in low-volatility, choppy ranges, like what we've experienced in 2023 and 2025, but may underperform in more dynamic conditions, which have been typical in most other years. Since markets are cyclical in many aspects of their behavior, and it's impossible to predict which cycle we'll see next, we decided not to replace our entire logic but to expand our portfolio to include both approaches. This effectively doubles the number of systems in the portfolio, combining the best of both worlds. What exactly has been changed? First, we've significantly revised entry conditions, now focusing on rarer, higher-quality setups. Second, a larger share of our trading activity will target Ethereum rather than Bitcoin, which makes sense given Ethereum's historically stronger performance. Ethereum accounts for about 25% of our volume but nearly 50% of our profits. While we already shifted our portfolio toward Ethereum earlier last year, we're now emphasizing this shift even more. Lastly, we've started exiting the market more quickly, requiring smaller relative movements to do so. Although we made similar changes earlier last year, after reviewing the entirety of 2025 data, we've decided to reinforce this approach. How will this affect the 'Legacy' portfolio: From this point forward, the Legacy portfolio will have two variations: a "true" Legacy portion that performs better outside tight ranges, and a "range-bound" portfolio that, on average, performs better during tight ranges. Of course, this is an oversimplification, and each option has its own pros and cons. For example, by exiting trades earlier, we reduce trade expectancy, making systems more prone to execution issues and higher expenses. Also, with fewer independent entries, the sample size is smaller, forcing us to rely on heuristics even more than before. However, we wouldn't be who we are now if we weren't adaptive to the markets' non-stationary nature. These changes, while significant, make logical sense and allow us not only to follow the market's movements but also to anticipate changes in advance, based on the trends we can already observe. We've prepared an illustration of what this looks like in practice. What you need to do: No action is required from existing Legacy users — the portfolio expansion is handled automatically on our side. New users can apply for access through the platform and, once approved, connect their accounts to Legacy directly from the dashboard. 👉 Click here to access now Best, The Algocrat AI Team

✨ New Website & Dashboard [Major Update] Over the past year, our team has been working extensively behind the scenes on a major upgrade to Algocrat AI. Today, we’d like to share what’s new — and what this unlocks for you moving forward. 1. Updated website: We’ve rolled out an improved version of our website with, - Cleaner, more intuitive UI/UX - Better structured information and documentation - Clearer explanations around portfolios, risk levels, and access The goal is simple: to make it easier to understand how everything works — before and after you join. 2. Revamped User Dashboard: The user dashboard has been significantly upgraded, with a strong focus on multi-account visibility and automation. You can now, - View aggregated data across multiple accounts, not just one - Add or remove accounts from charts with one click, and visually compare them side by side - Automatically connect, pause or disconnect accounts as well as switching portfolios and changing risk levels, with one click All of these actions are now processed within seconds, with no manual handling and no waiting times. This represents a major step forward in terms of transparency, control, and user experience. 3. Access to Nova: As part of these system upgrades, access is now available to Nova, our new trading portfolio. More improvements are already in progress, and we’ll continue rolling them out step by step. We’ll share further updates soon. Ready to see what's new with your own eyes? 👉 Click here to check the new website now Best regards, The Algocrat AI Team

🚀 Nova Is Now Available [Get Access Now] The wait is finally over. Nova, our new trading portfolio at Algocrat AI, is now live and available. Here’s how to get access now: You can connect to Nova directly from your user dashboard — either by: - Connecting a new trading account, or - Switching portfolios on an existing account All connections and portfolio switches are now fully automated. There are no waiting times, no manual approvals, and no delays. If you're ready: 👉 Click here to get access to Nova now Welcome to the next phase of Algocrat AI. Best, The Algocrat AI Team

⏳ Nova: 24 Hours Until Launch [New Portfolio] In 24 hours, our new portfolio, Nova, goes live at Algocrat AI. Over the past months, we’ve introduced the logic behind it, the live track record, and how access will work. What started as a quiet internal redevelopment is now about to become publicly available. Limited capacity reminder: Nova is launching with a strict capital limit. Once capacity is reached, access will be paused until we assess the impact and decide whether to expand further. If you’re planning to connect or switch to Nova, now is the time to be ready: - Make sure your Algocrat AI application is complete - Ensure your account is prepared for connection - Be ready to act as soon as Nova becomes available Access will be granted on a first-come, first-served basis, with priority given to existing connected clients. This isn’t a countdown to hype. It’s a transition to the next phase of Algocrat AI. 24 hours to go. Best, The Algocrat AI Team

🎄 Holiday Trading Pause: Dec 22 – Jan 4 We’ve decided to pause trading on all Algocrat AI master accounts from December 22 to January 4. This decision is driven by reduced technical support across many brokers during the Christmas and New Year holidays. If any broker-side issues occur during this period, resolution times can be significantly longer than usual. By pausing the master accounts, all connected accounts are automatically protected — no action is required on your end. While this may result in missing some short-term trading opportunities, we believe the downside risk during this period outweighs the potential upside. Best, The Algocrat AI Team

🏃‍➡️ Nova Launches Soon — and Spots Are Almost Gone [Limited Capacity] We’re getting close to the official launch of Nova, the new portfolio at Algocrat AI. Over the past few weeks, we’ve received an overwhelming number of messages and applications from both existing and new clients. The excitement around this release has exceeded all expectations. As always, at Algocrat AI, we operate with a client-first philosophy. That means we intentionally limit the total trading capital allocated behind our systems. To maintain performance integrity, protect execution quality, and ensure we can continue providing high-level support to you. How the capacity limits work: As of today, the capital limit for Algocrat AI is set at $30,000,000 USD. Out of this, almost $25,000,000 are already allocated — leaving only $5,000,000, or less than 20% of the total capacity still available. Once this limit is reached, applications will be paused until we evaluate the impact of the new capital inflow and decide whether to expand the limit further. If you’re planning to join Nova and want to secure your spot, make sure your Algocrat AI application is complete and that you’re ready to send your connection request as soon as the portfolio becomes available. Secure your spot now: 👉 Click here to apply Access will be granted on a first-come, first-served basis, with priority given to existing Algocrat clients who already have connected accounts. Best, The Algocrat AI Team

📊 +4.21% / November 2025 [Monthly Performance] We’re happy to report another positive month for Algocrat AI, with +4.21% account growth and a maximum drawdown of 6.23% in November. Our systems remained adaptive throughout the month, managing risk effectively and capturing opportunities despite shifting market conditions. Looking Ahead: Our team has been working nonstop behind the scenes all year long, and we’re genuinely excited to show you everything we’ve been building — very soon. From an upcoming new portfolio, Nova, to broader user experiece improvements, there’s a lot on the way that we believe will take Algocrat to the next level in 2026. For full transparency, you can always check our verified MyFxBook track record: 🔗 Click Here To Check Our Track Record Now Thank you to all our clients for your continued trust — let’s finish the year strong! Best regards, The Algocrat AI Team

🔓 How Access to Nova Will Work [Upcoming Portfolio] Over the past few posts, we’ve introduced Nova, our upcoming portfolio at Algocrat AI. We explained its strategy, its verified track record, and how it adapts to the current crypto market conditions. Now, it’s time to explain how this new portfolio will be accessible: Nova will be introduced as a new product within Algocrat AI, operating independently from the portfolio that has been running until today. Our existing portfolio will continue trading as usual, and all connected accounts will remain active — unless you choose to disconnect or switch portfolio. For clarity moving forward, this existing portfolio will now be referred to as 'Legacy'. The 'Legacy' portfolio will continue to run separately. To connect a new account: When connecting an account through the Algocrat dashboard, you will soon be able to select which portfolio to connect to. Just like you already select your preferred risk level. A new dropdown menu will display both options, ‘Legacy’ (the existing portfolio) and ‘Nova’ (the new one). To connect an existing account: There will also be a “Change Portfolio” in case you wish to keep using your existing account but migrate to the new portfolio. Thanks to our recent system upgrades, all new connections and switches will be handled automatically, with no delays or waiting periods. In our next post, we’ll share important details about accessing Nova — stay tuned. Best, The Algocrat AI Team