$BTC A brief respite due to the suspension of surcharges for 90 days.
Let's take advantage of it to achieve our goals and collect our gains. 👍
MrMeudiz
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Obviously, this won't go on indefinitely, but given the current situation, it's not impossible for BTC to reach its ATL around 50k as mentioned in your study.
BTC drops €10,000 per month since January: and now?
"January: BTC drops below €100k February: below €90k March: below €80k April: below €70k According to you, what is the logical continuation?" The question posed by @MrMeudiz MrMeudiz is as clear as it is striking. It highlights an apparently regular monthly drop of Bitcoin, observed in euros since the beginning of the year. But before answering, let's start by factually checking if this reading corresponds to the reality of the market.
Indeed, we must prepare for any eventuality well in advance so that our orders can be taken into account at the right time:
Since March 10, my limit conversion orders (without fees) have been set in decreasing geometric progression over a price range from 72,900 USDC to 52,000 USDC.
If these orders expire before execution, I would reschedule them based on the new market depth.
The ideal scenario would be a flash crash.
The lower it goes, the more we will gain during the recovery that is certain in the medium term since $BTC will become a reserve asset for many states and the number of units is definitively limited to 21 million.
Safe investments 🤝
MrMeudiz
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The more I see very large owners like Warren Buffett or the CEO of Apple selling, the more I think it's quite possible that BTC will drop to 56k. We'll see in a few months.
Crypto Salary Module: Strategies and Best Practices
Hello everyone,
I wish to share with you the implementation of my salary module within my crypto portfolio. The objective is twofold: to build a liquidity reserve to cover unforeseen events and to have a daily flow to finance my current expenses. To achieve this, I adopted a two-pronged approach that integrates progressive investment strategies and optimization of conversions through no-fee limit orders.
You are absolutely right, caution remains essential!
My approach is precisely not to completely eliminate the human factor but to use AI as a powerful and complementary tool.
A cautious risk management, regular human oversight, and thorough testing before any real deployment are absolutely essential.
This AI will be designed to minimize the risks associated with technical errors or potential bugs through numerous safeguards.
Thank you again for your very constructive feedback. It's always enriching to discuss these topics together! Wishing you great investments and see you soon for what's next! 🤝
MrMeudiz
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Afterwards, do not fully trust the machine, because, unless it is really very advanced, and even then, a bug could ruin everything, and the market is unpredictable.
However, even though many would use a similar AI, each AI would have its own parameters, its own strategies, and especially very different criteria depending on the goals set by each user.
The markets are vast and complex enough to allow for a multitude of profitable approaches simultaneously.
Moreover, AI is constantly evolving: it perpetually adapts to the market, learns, and thus naturally differentiates itself from other strategies.
MrMeudiz
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It's obvious that this could interest me, as well as many people, if not all. But if everyone uses this method, it can't work.
The major platforms use very advanced technologies, that’s for sure.
However, the approaches differ: a platform like Binance primarily uses algorithms to optimize its own liquidity and revenue.
An AI like the one I am developing aims to position itself on the side of individual investors, with strategies specifically tailored to individual needs and personalized goals.
MrMeudiz
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I am convinced that platforms like Binance have very advanced AI, know exactly when to buy or sell based on fear and greed, and other parameters.
This is precisely the whole point of this approach: to use artificial intelligence to optimize strategies by reducing emotional and human impact in trading.
But there is no need to be an expert in programming or math to benefit from it; the ultimate goal is to make these results accessible to all those who are interested.
MrMeudiz
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It's obvious that this could interest me, as well as many people, if not all. But if everyone uses this method, it can't work.
Hello, thank you very much for your interest and encouragement!
Indeed, I have had less time to trade manually in recent weeks (and it shows in my March portfolio which has been a bit adrift 😅). Currently, I am very busy with an exciting project: developing a Trading Artificial Intelligence.
After establishing the theoretical foundations, I am now working on the technical deployment of this AI on Google Cloud, with advanced training via AI Vertex. This project should keep me busy for several months (about two months at a rate of at least 3 hours per day), but it is an extremely rewarding adventure.
When this AI is operational, it will directly manage a portfolio on Binance (maybe mine? 😄), which will be the best way to concretely assess its performance.
No more emotions in trading! It's time for math, logic, and Machine Learning to constantly optimize strategies.
If the results prove convincing, I would love to share its analyses, investment strategies, and perhaps one day allow automated portfolio management for those who are interested with our community.
It was after noticing the effectiveness of my manual method of market depth analysis to select promising assets (and make nice capital gains, even in a bearish market) that I decided to completely change careers to become a Data Science and Machine Learning specialist.
Developing this trading AI thus represents an ideal first project for me to learn through practice rather than just theory.
What do you think? Could this interest some members of our community?
Safe investments to all 🤝✨
MrMeudiz
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Are you doing well, back here? I no longer receive notifications for your announcements. Congratulations on the month of February, how did March go? No new bera in sight?
And you, what did you do in the month of February, during the bear market?
I am very happy to explain to you how to choose the most promising assets among those that are declining and what strategy to implement to easily secure your investments during this downturn.
Take Profit 1: 0.3450 USDC (intermediate resistance)
Take Profit 2: 0.3500 USDC (strong psychological level)
Risk/Reward: ~1:2 at TP1, ~1:3.5 at TP2
Conditions: 5-minute candle closes above 0.3405, Volume >1,500 THE
Short Setup (Alternative Breakdown)
Entry: <span USDC
Stop Loss: 0.3390 USDC
Take Profit: 0.3330 USDC
6. Management Risk
Maximum risk per trade: 1% of total capital
Size adjusted according to Stop Loss distance:
If SL = 0.0030 USDC and capital = 10,000 USDC, maximum quantity = ~3.333 THE
7. Conclusion and Recommendation
The current low volume requires particular caution: wait before executing the entry. The preference is for a bullish breakout, given the relative strength of the support observed in the order book.
→ Key remark: the price has retraced to its intraday support and volatility has significantly decreased.
🔍 Order-Book Imbalance (21:28)
🤖 Signals
Short-term momentum → Stabilization near support
Order-book imbalance → Light buying (>50% of the spread)
Volume → Low (less than 1M ENA /24h) → illiquid market
🎯 New Trade Plan (Swing 1–2 days)
Plan B (if support breaks)
Short entry <0.3568
TP short → 0.3545
SL short → 0.3580
✅ Entry conditions
Close of a 5-minute candle >0.3582
5-minute volume >150k ENA
Maintain bid wall >1M ENA
🔄 Position management
SL → BE as soon as +0.0015 USDC
Partial exit (50%) at TP1, remainder at TP2
Trailing stop below VWAP 5-minute if momentum strengthens
❗ Conclusion: Low volume and low amplitude suggest waiting for a clear break of 0.3582 before taking a long position. If support gives way, consider a short-term short.
$PYTH #DynamicGeometricProgression #FakeWalls #OrderBook #TradeBook The goal: to exploit reverse progression (larger amounts at lower prices) and identify fake walls or real resistances through order book (DOM) analysis and trade book analysis. Analyze the DOM and detect possible fake DOM walls (Depth of Market). The order book displays depth on the demand (buy) and supply (sell) sides. A 'wall' corresponds to a price level where the cumulative volume spikes (e.g., 0.10 USDC with 50,000 PYTH on the buy side).
Yes, I have been teaching math for (many?) years, and it is a real passion.
In crypto, on the other hand, no academic background: after training in investment two years ago, I learned everything on the job, by experimenting, analyzing my mistakes and developing my own strategies. Today, they are starting to bear fruit in a sustainable way.
In fact, I am so taken by the application of math to the markets that next year, I am going part-time to devote more time to it. This also means that I will have to be even more rigorous and disciplined in managing my portfolio and optimizing my strategies to compensate for the loss of income.
But what motivates me even more than crypto is volunteering! If one day I can leave National Education for good, it will surely be to invest myself fully in it. And honestly… I won’t miss it at all 😆.
Have a good evening and good secure investments 🤝
MrMeudiz
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You don't teach math? Plus your nickname maths4traders suggests that you have good knowledge in trading.
Introduction: Why be interested in the order book (DOM)? Most traders scrutinize price charts, moving averages, and even a few classic technical indicators… But how many actually take the time to analyze the order book (Depth of Market, or DOM)?
Yet this is where it all begins: every price movement results from an imbalance between supply and demand in this order book. If an aggressive buyer decides to take all the sell orders at a given level, the price goes up. If, on the contrary, massive selling pressure absorbs the buyers, the price falls.
🔥 “Well spotted @MrMeudiz , you have the eye of a keen trader! 👀💡”
✅ You have identified a key level at 0.27: strong demand means solid support where buyers are ready to accumulate.
📈 Selling at 0.32 may seem logical if the trend is up, but have you looked at the red cliffs in the face? 🤔
Are the resistances at 0.30/0.32 weak or strong?
Does the book show aggressive sellers at this level?
Can selling pressure stop the bullish momentum before 0.32?
🎯 Small challenge: If the demand at 0.27 is so strong, what happens if it is absorbed and there are no buyers left at the bottom? Have you considered a scenario of a return to the downside?
💬 In short, well done for your observation, but a real pro does not stop at a single data in the notebook! 😉 Continue to refine your analysis and you will do wonders! 🚀
MrMeudiz
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#AnalysisExercise so depending on the depth very big demand at 0.27 resell around 0.32 for cookie, is that right?