cryptozeno

The main benefit of dollar-cost averaging is that it reduces the risk of making a bet at the wrong time. Market timing is among the hardest things to do when it comes to trading or investing. Often, even if the direction of a trade idea is correct, the timing might be off – which makes the entire trade incorrect. Dollar-cost averaging helps mitigate this risk.
If you divide your investment into smaller chunks, you’ll likely have better results than if you were investing the same amount of money in one large chunk. Making a purchase that’s poorly timed is surprisingly easy, and it can lead to less than ideal results. What’s more, you can eliminate some biases from your decision-making. Once you commit to dollar-cost averaging, the strategy will make the decisions for you.
Dollar-cost averaging, of course, doesn’t completely mitigate risk. The idea is only to smooth the entry into the market so that the risk of bad timing is minimized. Dollar-cost averaging absolutely won’t guarantee a successful investment – other factors must be taken into consideration as well.
As we’ve discussed, timing the market is extremely difficult. Even the biggest trading veterans struggle to accurately read the market at times. As such, if you have dollar-cost averaged into a position, you might also need to consider your exit plan. That is, a trading strategy for getting out of the position.
Now, if you’ve determined a target price (or price range), this can be fairly straightforward. You, again, divide up your investment into equal chunks and start selling them once the market is closing in on the target. This way, you can mitigate the risk of not getting out at the right time. However, this is all completely up to your individual trading system.
Some people adopt a “buy and hold” strategy, where the goal is to never sell, as the purchased assets are expected to continually appreciate over time. Take a look at the performance of the Dow Jones Industrial Average in the last century below.
While there are short-term periods of recession, the Dow has been in a continual uptrend. The purpose of a buy and hold strategy is to enter the market and stay in the position long enough so that the timing doesn’t matter.
However, it’s worth keeping in mind that this kind of strategy is usually geared towards the stock market and may not apply to the cryptocurrency markets. Bear in mind that the performance of the Dow is tied to a real-world economy. Other asset classes will perform very differently.
Dollar-cost averaging example
Let’s look at this strategy through an example. Let’s say we’ve got a fixed dollar amount of $10,000, and we think it’s a reasonable bet to invest in Bitcoin. We think that the price will likely range in the current zone, and it’s a favorable place to accumulate and build a position using a DCA strategy.
We could divide the $10,000 up into 100 chunks of $100. Each day, we’re going to buy $100 worth of Bitcoin, no matter the price. This way, we’re going to spread out our entry to a period of about three months.
Now, let’s demonstrate the flexibility of dollar-cost averaging with a different game plan. Let’s say Bitcoin has just entered a bear market, and we don’t expect a prolonged bull trend for at least another two years. But, we do expect a bull trend eventually, and we’d like to prepare in advance.
Should we use the same strategy? Probably not. This investment portfolio has a much larger time horizon. We’d have to be prepared that this $10,000 will be allocated to this strategy for another few years. So, what should we go for?
We could divide the investment into 100 chunks of $100 again. However, this time, we’re going to buy $100 worth of Bitcoin each week. There are more or less 52 weeks in a year, so the entire strategy will be executed in over a little less than two years.
This way, we’ll build up a long-term position while the downtrend runs its course. We’re not going to miss the train when the uptrend starts, and we have also mitigated some of the risks of buying in a downtrend.
But keep in mind that this strategy can be risky – we’d be buying in a downtrend after all. For some investors, it could be better to wait until the end of the downtrend is confirmed before entering. If they wait it out, the average cost (or share price) will probably be higher, but a lot of the downside risk is mitigated in return.
Dollar-cost averaging calculator
You can find a neat dollar-cost averaging calculator for Bitcoin on dcabtc.com. You can specify the amount, the time horizon, the intervals, and get an idea of how different strategies would have performed over time. You’ll find that in the case of Bitcoin, which is in a sustained uptrend over the long-term, the strategy would have been consistently working quite well.
Below, you can see the performance of your investment if you’ve bought just $10 worth of Bitcoin every week for the last five years. $10 a week doesn’t seem that much, doesn’t it? Well, as of April 2020, you would’ve invested in total about $2600, and your stack of bitcoins would be worth about $20,000.
The case against dollar-cost averaging
While dollar-cost averaging can be a lucrative strategy, it does have its skeptics as well. It undoubtedly performs best when the markets experience big swings. This makes sense, as the strategy is designed to mitigate the effects of high volatility on a position.
Dollar-cost averaging is a redeemed strategy for entering into a position while minimizing the effects of market volatility. It involves dividing up the investment into smaller chunks and buying at regular intervals.
The main benefit of this strategy is that it alleviates the need to time the market, which can be challenging. Investors who prefer not to actively monitor the markets can still participate effectively using the DCA method.
However, some skeptics argue that dollar-cost averaging may cause investors to miss out on gains during bull markets. That said, missing out on some gains isn't the end of the world dollar-cost averaging remains a convenient and effective investment strategy for many.
#CryptoZeno #VitalikPledgesLeanerEFFewerETHSales

When #Bitcoin was trading at just fifty cents, almost nobody took it seriously. It was a curiosity for cryptographers, libertarians, and a small group of internet idealists. Few could imagine it would one day reshape finance, politics, and power. Even fewer could imagine that one man would build an entire underground economy around it.
That man was Ross Ulbricht.
Today, his story reads less like a crime report and more like a case study in technology, ideology, and unintended consequences. He was given two life sentences, later pardoned, and recently linked to a mysterious transfer of 300 Bitcoin. Whether viewed as a criminal or a pioneer, his impact on crypto history is undeniable.
Ross Ulbricht did not begin his journey as a criminal mastermind. He studied physics and materials science, was deeply interested in economics, and strongly believed that governments exercised far too much control over individual freedom. Bitcoin represented something radical to him: money without permission, value without borders, and trade without centralized oversight.
In 2011, driven by those beliefs, Ross created a website called Silk Road. It was not accessible through normal browsers. Users had to use Tor, a privacy-focused network designed to anonymize traffic. All transactions were conducted exclusively in Bitcoin, and the entire platform was built around anonymity.
Ross vision was a free market without government interference. In his mind, Silk Road was an experiment in economic freedom rather than a criminal enterprise.
The experiment grew far faster than anyone expected. Silk Road attracted more than one hundred thousand users in a short period of time. People bought drugs, fake identification documents, and hacking tools. At one point, a significant portion of all Bitcoin transactions globally flowed through the platform. For many early adopters, Silk Road was their first real exposure to Bitcoin as usable money.
But anonymity is fragile, and ideology does not protect against human error.
Ross operated online under several aliases, the most famous being “Dread Pirate Roberts.” For a long time, his identity remained hidden. Then came a small mistake. He once posted a technical question online using his real email address. That single slip was enough for investigators to begin connecting the dots.
On October 1, 2013, the FBI arrested Ross Ulbricht inside a public library in San Francisco. Agents waited until his laptop was open, then seized it before he could encrypt or lock it. The laptop contained everything. Administrative access to Silk Road, private messages, transaction logs, and access to wallets holding roughly 150 million dollars’ worth of Bitcoin at the time.
In 2015, Ross was convicted on multiple charges, including drug trafficking, money laundering, hacking, and operating a criminal enterprise. The sentence shocked many observers. Two life sentences plus forty years, with no possibility of parole. Even people who believed #SilkRoad was illegal questioned whether the punishment was wildly disproportionate.
The government also seized more than 144,000 Bitcoin from Ross laptop. Those coins were later sold at auction for roughly 334 dollars per Bitcoin, generating about 48 million dollars. Today, those same coins would be worth well over nine billion dollars, making the seizure one of the most expensive mistakes in financial history.
Over time, Ross Ulbricht became more than a prisoner. He became a symbol.
To some, he was a villain who enabled illegal markets. To others, he was a martyr for digital freedom and a warning about state overreach in the age of code. More than half a million people signed petitions calling for a reduced sentence. His name became deeply embedded in crypto culture, representing both its ideals and its risks.
In 2020, rumors began circulating that President Trump might pardon Ross. Figures close to the administration hinted at discussions behind the scenes. The crypto community was hopeful, but the pardon never came. Still, the idea refused to die.
Even in prison, Ross remained active. He wrote essays, created artwork, and continued to engage with the outside world through his family, who managed his social media presence. Over time, his following grew, especially among crypto-native audiences who saw his imprisonment as symbolic.
Then, unexpectedly, everything changed.
In 2025, Ross Ulbricht was suddenly pardoned. Activists, legal advocates, and crypto-friendly political figures had quietly pushed for years. When he re-emerged, he appeared at major crypto events and received standing ovations. Many described it as the return of a legend.
Not long after, another mystery surfaced. One of Ross old $BTC wallets received 300 BTC, worth more than 30 million dollars at the time. The funds were routed through a mixer designed to obscure their origin. No one knows who sent the Bitcoin or why. Speculation exploded, but no definitive answers emerged.
#RossUlbricht story continues to matter because it forces uncomfortable questions into the open. Can technology truly be neutral? Who ultimately controls the internet? How much power should governments have over code, markets, and individual choice? And can a single person, armed with nothing but an idea and software, reshape the world?
Whether you see Ross as a criminal, a pioneer, or something in between, one thing is certain. His story is not finished.
In an era defined by digital surveillance, financial control, and programmable money, the legacy of Silk Road still echoes. And we may not have seen the last of Ross Ulbricht’s influence on crypto and the internet itself.
#CryptoZeno #StablRDepegsAfterAttack #TrumpSaysIranDealLargelyNegotiated

Trading is more than just numbers it is a three-dimensional fight that rages primarily inside the traders themselves. Missing any crucial element can quickly ruin a trader. The trader must first develop a robust trading system that aligns with their personality and risk tolerance. Then they must trade it consistently, with discipline and faith, through ups and downs. But that’s not all. Risk exposure must also be managed carefully through position sizing and limiting open positions. Risk management has to carry the trader through losing streaks and enable survival, giving the chance to even make it to the winning side.
Here are thirty rules that can help the new trader survive that first year in the trading markets or take the unprofitable trader much closer to profitability.
Trade with the right mindset.
TRADER PSYCHOLOGY
Be flexible and go with the flow of the market's price action; stubbornness, egos, and emotions are the worst indicators for entries and exits.Understand that the trader only chooses their entries, exits, position size, and risk, and the market chooses whether they are profitable or not.You must have a trading plan before you start to trade, which has to be your anchor in decision-making.You have to let go of wanting to always be right about your trade and exchange it for wanting to make money. The first step to making money is to cut a loser short the moment you realize you are wrong.Never trade position sizes so big that your emotions take over from your trading plan."If it feels good, don't do it." – Richard WeissmanTrade your biggest position sizes during winning streaks and your smallest position sizes during losing streaks. Not too big and trade your smallest when in a losing streak.Do not worry about losing money that can be made back; worry about losing your trading discipline.A losing trade costs you money, but letting a big losing trade get too far out of hand can cause you to lose your nerve. Cut losses for the sake of your nerves as much as for the sake of capital preservation.A trader can only go on to success after they have faith in themselves as a trader, their trading system as a winner, and know that they will stay disciplined in their trading journey.
Bring your risk of ruin down to almost zero.
RISK MANAGEMENT
Never enter a trade before you know where you will exit if proven wrong.First, find the right stop loss level that will show you that you're wrong about a trade, then set your position size based on that price level.Focus like a laser on how much capital can be lost on any trade first, before you enter, not on how much profit you could make.Structure your trades through position sizing and stop losses so you never lose more than 1% of your trading capital on one losing trade.Never expose your trading account to more than 5% total risk at any one time.Understand the nature of volatility and adjust your position size for the increased risk with volatility spikes.Never, ever, ever, add to a losing trade. Eventually, that will destroy your trading account when you eventually fight the wrong trend.All your trades should end in one of four ways: a small win, a big win, a small loss, or break even, but never a big loss. If you can eliminate the big losses, you have a great chance of eventually achieving trading success.Be incredibly stubborn in your risk management rules; don't give up an inch. Defense wins championships in sports and profits in trading.Most of the time, trailing stops are more profitable than profit targets. We need the big wins to pay for the losing trades. Trends tend to go farther than anyone anticipates.
Develop a winning trading system that fits your personality.
YOUR TRADING METHOD
"Trade What's Happening...Not What You Think Is Gonna Happen." – Doug GregoryGo long strength; sell weakness short in your time frame.Find your edge over other traders.Your trading system must be built on quantifiable facts, not opinions.Trade the chart, not the news.A robust trading system must either be designed to have a large winning percentage of trades or big wins and small losses.Only take trades that have a skewed risk-to-reward in your favor.The answer to the question, "What's the trend?" is the question, "What's your timeframe?" – Richard Weissman. Trade primarily in the direction that a market is trending in on your time frame until the end, when it bends.Only take real entries that have an edge; avoid being caught up in the meaningless noise.Place your stop losses outside the range of noise so you are only stopped out when you are likely wrong. #CryptoZeno #StablRDepegsAfterAttack

Support and resistance are simple concepts. The price finds a level that it’s unable to break through, with this level acting as a barrier of some sort. In the case of support, price finds a “floor,” while in the case of resistance, it finds a “ceiling.” Basically, you could think of support as a zone of demand and resistance as a zone of supply.
While more traditionally, support and resistance are indicated as lines, the real world cases are usually not as precise. Bear in mind; the markets aren’t driven by some physical law that prevents them from breaching a specific level. This is why it may be more beneficial to think of support and resistance as areas. You can think of these areas as ranges on a price chart that will likely drive increased activity from traders.
Let’s look at an example of a support level. Note that the price continually entered an area where the asset was bought up. A support range was formed as the area was retested multiple times. And since the bears (sellers) were unable to push the price further down, it eventually bounced potentially starting a new uptrend.
Now let’s look at a resistance level. As we can see, the price was in a downtrend. But after each bounce, it failed to break through the same area multiple times. The resistance level is formed because the bulls (buyers) were unable to gain control of the market and drive the price higher, causing the downtrend to continue.
How traders can use support and resistance levels
Technical analysts use support and resistance levels to identify areas of interest on a price chart. These are the levels where the likelihood of a reversal or a pause in the underlying trend may be higher.
Market psychology plays a huge part in the formation of support and resistance levels. Traders and investors will remember the price levels that previously saw increased interest and trading activity. Since many traders may be looking at the same levels, these areas might bring increased liquidity. This often makes the support and resistance zones ideal for large traders (or whales) to enter or exit positions.
Support and resistance are key concepts when it comes to exercising proper risk management. The ability to consistently identify these zones can present favorable trading opportunities. Typically, two things can happen once the price reaches an area of support or resistance. It either bounces away from the area or breaks through it and continues in the direction of the trend potentially to the next support or resistance area.
Entering a trade near a level of support or resistance area may be a beneficial strategy. Mainly because of the relatively close invalidation point where we usually place a stop-loss order. If the area is breached and the trade is invalidated, traders can cut their loss and exit with a small loss. In this sense, the further the entry is from the zone of supply or demand, the further the invalidation point is.
Something else to consider is how these levels may react to changing context. As a general rule, a broken area of support may turn into an area of resistance when broken. Conversely, if an area of resistance is broken, it may turn into a support level later, when it’s retested. These patterns are sometimes called a support-resistance flip.
The fact that the previous support zone acts as resistance now (or vice versa) confirms the pattern. As such, the retest of the area may be a favorable place to enter a position.
Another thing to consider is the strength of a support or resistance area. Typically, the more times the price drops and retests a support area, the more likely it is to break to the downside. Similarly, the more times the price increases and retests a resistance area, the more likely it is to break to the upside.
So, we’ve gone through how support and resistance works when it comes to price action. But what other types of support and resistance are out there? Let’s go over a few of them.
Psychological support and resistance
The first type we’ll discuss is called psychological support and resistance. These areas don’t necessarily correlate with any technical pattern but exist because of how the human mind tries to make sense of the world.
In case you haven’t noticed, we live in a staggeringly complex place. As such, we inadvertently try to simplify the world around us so we can make more sense of it and this includes rounding numbers up. Have you ever thought to yourself that you have a craving for 0.7648 of an apple? Or asked a merchant for 13,678,254 grains of rice?
A similar effect is at play in the financial markets. It’s especially true for cryptocurrency trading, which involves easily divisible digital units. Buying an asset at $8.0674 and selling it at $9.9765 just isn’t processed the same as buying it at $8 and selling at $10. This is why round numbers can also act as support or resistance on a price chart.
Well, if only it’d be that simple! This phenomenon has become well-known over the years. As such, some traders might try to “frontrun” obvious psychological support or resistance areas. Frontrunning, in this case, means placing orders just above or below an anticipated support or resistance area.
Take a look at the example below. As the DXY approaches 100, some traders place sell orders just below that level to make sure those orders are filled. Because so many traders expect a reversal at 100 and many frontrun the level, the market never reaches it and reverses just before.
Trend line support and resistance
If you’ve read our classical chart patterns article, you’ll know that patterns will also act as barriers for price. In the example below, an ascending triangle keeps the price contained until the pattern breaks to the upside.
You can use these patterns to your advantage and identify areas of support and resistance that coincide with trend lines. They can be especially useful if you manage to spot them early, before the pattern is fully developed.
Moving average support and resistance
Many indicators may also provide support or resistance when they interact with the price.
One of the most straightforward examples of this are moving averages. As a moving average acts as support or resistance for the price, many traders use it as a barometer for the overall health of the market. Moving averages may also be useful when trying to spot trend reversals or pivot points.
Fibonacci support and resistance
Levels outlined by the Fibonacci retracement tool may also act as support and resistance.
In our example below, the 61.8% Fibonacci level acts as support multiple times, while the 23.6% level acts as resistance.
We’ve discussed what support and resistance are, and some of their different types. But what’s the most effective way to build trading strategies around them?
A key thing to understand is a concept called confluence. Confluence is when a combination of multiple strategies are used together to create one strategy. Support and resistance levels tend to be the strongest when they fall into multiple of these categories that we’ve discussed.
Let’s consider this through two examples. Which potential support zone do you think has a higher chance to actually act as support?
Support 1 coincides with:
a previous resistance areaan important moving averagea 61.8% Fibonacci levela round number in the price
Support 2 coincides with:
a previous resistance areaa round number in the price
If you’ve been paying attention, you’ll correctly guess that Support 1 has a higher chance of holding the price. While this may be true, the price could also fly through it. The point here is that the probability of it acting as support is higher than it is for Support 2. With that said, there are no guarantees when it comes to trading. While trading patterns can be helpful, past performance does not imply future performance, so you should be prepared for all possible outcomes.
Historically, the setups that are confirmed by multiple strategies and indicators tend to provide the best opportunities. Some successful confluence traders might be very picky about what setups they enter and it often involves a lot of waiting. However, when they do enter trades, their setups tend to work out with a high probability.
Even so, it’s always essential to manage risk and protect your capital from unfavorable price movements. Even the strongest looking setups with the best entry points have a chance of going the other way. It’s important to consider the possibility of multiple scenarios, so you don’t fall into false breakouts or bull and bear traps.
#CryptoZeno #BitcoinETFsShed$1.26BInSixDays

Basically, Momentum Oscillator is a technical indicator that measures and showcases the strength or speed of a price movement. The MOM indicator compares the most recent price to a previously determined price and measures the velocity of the price change. Traders choose whether a price momentum is increasing/decreasing to identify entry and exit points.
Despite being the oscillator-type indicator, MOM is unbounded, which means that there are no overbought or oversold levels on the chart to be looking at. That being said, the MOM indicator should be paired with RSI or Stochastic Oscillator to find out the actual asset’s value compared to its true value.
Momentum Indicator Formula
The momentum indicator may be defined as the pace of change in the price of a financial instrument over a given time frame. Essentially, the Momentum Oscillator showcases the difference between two prices: the most recent closing price in relation to a previous closing price from any time range.
MOM Formula: (Current Close/Close N Periods Ago)*100
The default “N” value configurations are set to 10 periods. However, a trader can easily change it in the indicator’s settings tab.
The indicator plots the calculated values on the trading chart as a single line.
In short, if today’s price is the same as it was, say, 10 days ago, the indicator plots its value at the zero line; consequently, if today’s price is higher than it was 10 days ago, the indicator plots above the zero line and vice versa.
Note: Zero line isn’t included in the chart by default. You have to add it yourself.
The MOM indicator oscillates around the zero line, and when it crosses it, some investors might consider this a possible entry or exit signal.
A market where the price changes with large price jumps means the momentum increases and the MOM indicator increases. When the price changes with smaller jumps, the momentum declines, and the MOM indicator starts going down.
How to Read Momentum Indicator?
Let’s not forget that the concept of momentum comes from physics because all the statements below are based on laws and patterns on how objects gain and lose momentum:
If the Momentum Oscillator makes a new high, we expect to see a new high made in price. As traders, we want to buy the next pullback since the price starts gaining upward momentum.We expect lower prices if a new low on the MOM chart is made. As traders, we want to go short on the next price bar since the price starts gaining a downward momentum.If a price makes new lower lows, but the MOM indicator makes higher lows, the market’s downward momentum is weakening- also known as a bullish divergence. As traders, this may be the time to enter the position.If a price makes new lower lows, but the MOM indicator makes higher lows, the market’s downward momentum is getting weaker – it is also known as a bullish divergence. As traders, we might want to enter the position.Imagine you are throwing an object up. Before it falls down to you, its upward momentum slows, and it changes direction. The same rule applies to price – a price trend slows down before it changes direction.
Remember that seeing price momentum increase is a sign, not a guarantee, that the current direction will continue.
Momentum Oscillator Trading Strategy
MOM Strategy #1: Zero Line Crossover
The simplest basic Momentum Indicator trading strategy is watching for when the MOM indicator crosses the Zero Line.
Below is the BTC/USDT chart with a MOM indicator attached:
Seeing a price crossing above Zero Line implies that an asset is gaining an upward momentum and is commonly viewed as a bullish signal.Seeing a price crossing below Zero Line implies that an asset is gaining a downward momentum and is commonly viewed as a bearish signal.
The premise behind this strategy is solely based on the fact that the Zero Line indicates that the price is the same as N periods ago, and the assets’ price rising or falling causes the Momentum Oscillator to cross the Zero Line from below or above accordingly.
But not all crossover points are reliable entry or exit signals. To help reduce the number of false signals, consider making MOM’s period length values higher, examine the overall market trend or apply price patterns.
MOM Strategy #2: Divergence Trading + EMA
The MOM indicator can also assist in detecting divergences on the chart. A divergence occurs when price movement differs from the evolution of the indicator, in our case, the Momentum Oscillator. Similar to other momentum indicators, like Stochastic or RSI oscillators, a divergence in the MOM indicator can hint at a potential price direction change.
There are 2 categories of price divergences: hidden divergence and classic (also known as regular) divergence. In contrast to classic divergence, which detects trend reversal, hidden divergence detects trend continuation.
Here we made a comprehensive cheat sheet that explains the difference between classic and hidden divergence:
Now that we got acquainted with the fundamentals of divergence trading let’s look at the MOM divergence trading example.
Aside from a Momentum Oscillator, we also attached a 200-period EMA to the chart to spot the direction of the long-term market trend.
The basic 200-EMA rule is when the price trades above the 200-period Exponential Moving Average. It is considered an uptrend, implying that we should take a long position. Conversely, when the price is trading below the 200-day Exponential Moving Average, it is considered to be in a downtrend, implying that we should take a short position.
Suppose the price of an asset is trading above the 200-period EMA, suggesting an uptrend. In that case, traders may search for bullish divergence signals (both hidden and regular) on the lower side of the Momentum Oscillator. On the other hand, if the price is trading below the 200-period EMA, suggesting a downtrend, traders should look for bearish divergence signals (both hidden and regular) on the higher side of the Momentum Oscillator.
Our ADA/BNB chart shows that a market is trading in an uptrend, indicating that we should search for bullish divergence patterns. We have 2 MOM divergence signals: one hidden bullish divergence that suggests the continuation of the current trend and one classic bullish divergence.
Remember, if you plan to incorporate Momentum Oscillator into your trading strategy, consider using additional technical indicators and filters to reduce the market noise and avoid overtrading.
Other Popular Momentum Indicators
The class of momentum indicators includes some of the world’s well-known technical indicators, like RSI, MACD, William %R, ADX, and Stochastic RSI. In this section, we are going to cover each of these briefly.
Moving Average Convergence Divergence (MACD)
MACD is truly the most popular trend-following momentum indicator that calculates the difference between two exponential moving averages and plots them on a chart in the form of two lines (MACD line & Signal line) and a histogram. The indicator is mostly used to identify a change in the market trend direction, confirm and identify trading signals, and momentum shifts in the asset’s price.
Relative Strength Index (RSI)
RSI is probably the most beloved momentum indicator among traders from the stock and crypto markets. The indicator oscillates on a scale between 0 and 100. With the help of the Relative Strength Index, traders can spot overbought and oversold market conditions, identify support/resistance levels, potential reversal, etc. Overall, RSI is the second most used trading indicator for a reason.
Stochastic RSI (SRSI)
Stochastic RSI combines two widely recognized technical indicators: RSI and Stochastic. Like the Relative Strength Index, Stochastic RSI helps traders identify overbought and oversold market conditions. SRSI is more sensitive to price fluctuations than the famous RSI indicator. By using RSI values in combination with the Stochastic formula, traders can determine whether the current RSI value is overbought or oversold.
Williams Percent Range (Williams %R)
The Williams Percent Range is another widely recognized momentum indicator that displays where the most recent closing price is in relation to the highest and lowest prices of a specific time period. The Williams %R indicator oscillates between 0 and -100 and measures the strength of a market trend. Like the Stochastic RSI, Williams %R is a more sensitive version of RSI and is ideal for usage in volatile markets.
Average Directional Index (ADX)
Last but not least – the ADX indicator. The Average Directional Index is a momentum-based indicator that was developed to evaluate the strength of a current market trend. The indicator is calculated using a series of directional movement indicators (DMI) which measure the strength and direction of price movements and then plotted as a single line on the chart that ranges from 0 to 100.
As traders, we can confidently state that momentum indicators are an essential tool in any trader’s toolbelt. MOM is a perfect indicator to find out the current trend and direction of the market. It doesn’t matter how good the indicator is. Before making a trade, you should also utilize one or a few other indicators to confirm patterns and signals.
#CryptoZeno #momentum

This is what I wish I had 9 years ago when I started trading… and it’s the opposite of what most influencers tell you to do.
I will give you my step-by-step roadmap detailing every stage of a trader's journey.
You will see exactly where you are, why you're stuck, and what to fix first.
Let's start:
The Three Dimensions
If you're not profitable, you likely have:
A strategy that doesn't make moneyA strategy you can't follow under pressure.A strategy that doesn't survive long enough to make money.
This is the core of my model.
Strategy: your journal, edge development, and asset selectionRisk: your sizing, trade management, and scalingPsyche: your psychology, routines, and discipline
Where these overlap, specific capabilities emerge:
Strategy + Risk = ProfitStrategy + Psyche = ScaleRisk + Psyche = SurvivalAll three = Top 1% Trader
Remember this: at every level of the roadmap, one of these three dimensions is the bottleneck. Everything we diagnose comes back to the same question → is it Strategy, Risk, or Psyche?
Level 0 → No Strategy
This is where every trader starts.
And where many stay longer than they realise...
You know you're Level 0 if:
No strategy. Just tips and 'gut feelings'No written rules for entries, exits, or stop lossesNo journal. No screenshots. No data.Position sizes swing wildly (1% one day, 10% the next)Wins feel like skill. Losses feel like bad luck.
What's required to reach Level 1
The goal at Level 0 isn't to find a strategy.
It's to build three habits: a routine, a journal, and the resilience to keep showing up.
Strategy:
Start journaling every trade immediately after you close it to capture your entries, exits, trade screenshots and emotional state.
‼️IMPORTANT‼️ Your journal is the single most important tool you’ll ever use at ANY level as a trader. Without this, there is no data… and without data, you can never improve.
Psyche:
Find 2 hours in your day, 5 days a week, where you will trade / learn to trade no matter what.Solidify your sleep, diet and exercise.Trading is one of the hardest games in the world. It will test you emotionally before it rewards you financially. If you can't go to bed on time or eat 3 meals a day, you have a 0% chance of making it.
Risk:
Max portfolio size: $100.
Common mistake: Thinking you need to learn everything before you start. You don't need TA, risk management, or strategy yet... You need a journal, a routine, and the willingness to show up.
The first 30 trades aren't about making money. They're about building the foundation that makes everything else possible.
Level 1 → Inconsistent Strategy
Congratulations, you have your foundation. Now it's time to build the skills that will become your trading strategy.
Technical analysis gives you a framework for reading price.Risk management gives you a framework for protecting capital.Learning your tools gives you the infrastructure to trade.
What Level 1 looks like:
Learning to read charts: support/resistance, candlestick patterns, market structureSetting up your exchange, understanding order types, securing your capitalStarting to define entry triggers, stop loss placement, take profit rulesRisk per trade becoming more consistent but still variesJournal has data, but execution still varies
What's required to reach Level 2
Strategy:
Learn Price Action, Support & Resistance, and Volume. I've seen traders make $10k+ a month using only these. I have detailed free tutorials on all of them.Learn to use your Exchange (order types, leverage, trade placement)Put together ONE very basic breakout or reversal strategy. As simple as '1 candle close above resistance and I buy the breakout' (the goal is consistency NOT profit at this point)
Risk:
Max portfolio size: $1000. Until we can prove we're profitable, we don't need more.Set a fixed risk per trade. 1% of your account is a solid starting point.Calculate position size before every trade: Position Size = Max Risk ÷ (Entry Price − Stop Loss Price).
Psyche:
No new focus. Keep the routine and journal from Level 0.
Level 2 → Consistent Strategy
You have rules. You follow them.
Great work most traders never get here.
Now we want profitability.
What Level 2 looks like:
Follows strategy rules on 90%+ of tradesJournals every trade with screenshots and commentsHas a working routine: checklist, report card, emotional check-insData is clean and reliableNot yet consistently profitable: equity curve may be flat or slightly negative
We need to evolve from following rules to isolating variables and improving our rules.
The journey looks like this.
Unprofitable. Improve ↓Less unprofitable. Improve ↓Breakeven. Improve ↓Slightly profitable. Improve ↓More Profitable
What's required to reach Level 3
Strategy:
Develop asset selection skills. This is the highest-leverage improvement you can make. A 10% improvement in asset selection improves your entry, stop, and target simultaneously. A 10% improvement in entry alone only improves entry.Develop condition identification skills. Learn which conditions favour your strategy. Tip: Moving averages are very good for this.Understand expectancy: (Win% × Average Win) − (Loss% × Average Loss)Learn to analyse your journal data. Filter trades into winners and losers. Open all winning screenshots in one tab, all losing screenshots in another. Look for patterns. Tip: Change one variable at a time. Test 30+ trades. Measure the impact. Then repeat.
Risk:
No new focus. Just remember max portfolio size stays $1000.
Psyche:
Continue routine.
Common mistake: Changing too many variables at once. Or perfecting entries when asset selection would have a bigger impact. Prioritise the changes that create the most leverage.
Level 3 → Consistent & Profitable Strategy
You're consistently profitable, congratulations you're in the top 5%. This is a real milestone.
Everything you've built works but only with a small portfolio.
The question now: can you scale it without breaking it?
In Level 2, you learned which trades to take.In Level 3, you learn how to deepen your edge and learn to manage trades actively.
What Level 3 looks like:
Positive expectancy over 30+ tradesUpward-sloping equity curveCan distinguish a good setup from a great oneBeginning to introduce discretion based on dataMaking money but not yet at meaningful size
Why you're stuck
You need two things to move forward:
Active trade management (protect profits, cut losers more intelligently)Continued edge development (so your strategy evolves as markets change).
Edge isn't permanent and alpha decay is real.
What's required to reach Level 4
Strategy:
Expand your strategy. If you've been trading breakouts, learn breakdowns. Then explore reversals. Each new style gives you tools for different conditions and reduces the periods where you're sitting on your hands.
Risk:
Introduce active trade management. Start by noting the candle where you lose confidence and writing why. Build the recognition skill before adding the execution component.Develop conviction-based sizing. Not all setups are equal. Score each setup across key variables. Your best set ups get more risk. Your worst set ups get less.
Psyche:
Prepare for the psychological shift of scaling... The emotions around a $5 loss and a $500 loss are fundamentally different. Scaling introduces challenges that didn't exist at small size. Risk appetite is like a rubber band. Stretch it slowly.
Level 4 → Consistent, Profitable & Scaled
Wow, you did it. You can now earn a serious income full or part time trading.
At Level 4, you're no longer building the machine.
You're maintaining it, upgrading it, and running it at full capacity.
What Level 4 looks like:
Consistently making four to five+ figures per monthScaled to a meaningful portfolio sizeMultiple strategies across different market conditionsExecution fluid and largely automaticEmotional stability under large position sizesContinuous edge development as a habit, not a project
The Psyche dimension develops differently at each level.
At Level 0, you're building habits.At Level 1, managing emotions through live execution for the first time.At Level 2, following rules under moderate stress.At Level 3, blending system and discretion without losing composure.At Level 4, execution becomes seamless.
The Ongoing Challenge
Markets evolve. What's working right now likely won't last forever.
Your real edge is your process itself.
The meta-skill of developing edge is more valuable than any single edge you currently hold.
What Level 4 traders focus on:
Psychology mastery: daily meditation, lifestyle optimisation, structured emotional check-insSystematic scaling: $1,000 → $2,000 → $5,000 → $10,000+, with 30+ trades at each level before moving upContinuous edge development through structured testingFinding new edgePortfolio-level risk management across multiple strategiesNavigating liquidity constraints as size grows
#CryptoZeno #USCourtDeniesKalshiPolymarketPause

I’ve longed resistance and shorted support for 9 years… This is the exact opposite of what every trader tries to do.
In this article, I will share my entire strategy so you can skip years of testing and losses.
This is something you will want to bookmark, take notes on, and set time aside to think about.
Lesson 1: The Only 2 Trading Strategies
Before you can identify good momentum setups, you need to understand what momentum trading actually is.
Momentum and mean reversion are opposite strategies based on opposite assumptions.
The Two Trading Styles
Momentum (where you take a trade betting on a continuation of the current trend)Mean Reversion (where you take a trade betting on a reversal of the current trend)
One assumes strength continues; the other assumes strength exhausts.
Let’s consider this through a visual example.
Suppose price is approaching a resistance level (in other words, a level where there was previously selling pressure, preventing the price from moving higher).
Momentum assumes the level will break.
You’re betting on continuation.Price approaches resistance, you buy, expecting it to push through and keep running.The level becomes support once broken.
Mean reversion assumes the level will hold.
You’re betting on rejection.Price approaches resistance, you short, expecting it to bounce back down.The level acts as a ceiling.
Same chart. Same resistance level. Opposite strategies.
There is no right or wrong. The key is to understand when you are in a momentum trade environment, such that momentum strategies are highly aligned.
The next section shows you exactly how to identify when the environment favours momentum (my best strategy).
Lesson 1 Summary
There are 2 trading styles: momentum and mean reversionMean reversion bets levels will hold; momentum bets levels will breakOne is not better than the other; it depends entirely on the trade environment
Lesson 2: Optimal Trade Environment
Just opening a long every time price hits resistance won't make us any money.
Without the right conditions, momentum dies immediately after the breakout.
You enter. It reverses. You're stopped out.
That's not bad luck, that's a bad trading environment.
The Rowing Analogy
Imagine you’re rowing a boat.
You either row against or with the current.
One makes it easier to row while the other takes a lot more effort.
Your boat, or rowing technique, didn’t change… Only your environment did.
Trading is the same.
Your strategy is your boat.
Your optimal trade environment is the current.
Now use this 3-filter checklist to ensure you only take trades where a breakout is likely (with the current).
Filter 1: How Did Price Approach the Level?
What you WANT:
A slow, grinding staircase pattern approaching resistance.Each candle makes incremental progress.Higher lows are stacking up.Controlled, deliberate movement.
What you DON’T want:
A fast vertical spike into resistance.Price shoots up in one or two large candles.After a spike, buyers' strength is depleted and price typically consolidates or reverses.This is exhaustion, not momentum.
The staircase pattern shows sustained buying pressure building gradually. When this breaks through resistance, buyers are still engaged and ready to push further.
Common mistake: Traders see a strong candle break resistance and assume momentum is strong. But these fast moves often reverse quickly.
→ Do this instead: Take momentum trades when price approaches resistance in a slow, grinding staircase over multiple candles.
Real Trade Example:
Slow clear grind into resistance showing an optimal ‘price approach to level’ for momentum.
Filter 1: slow grindy staircase ✅
Filter 2: What Did Volume Look Like?
Volume confirms whether the price movement has conviction behind it.
What you WANT:
Gradual increase in volume as price approaches resistanceThis pattern shows controlled, sustainable momentum.
What you DON’T want:
Flat volume (no conviction) or sudden volume spikes (exhaustion).Flat volume means the move lacks participation.Volume spikes often mark climax points where momentum exhausts.Decreasing volume (why would price break out of resistance now, if volume was lower than before?)
Volume should mirror the price pattern, steady and building, not erratic.
This strategy works because momentum continuation is most likely when participation is sustained, supply is absorbed gradually, and structure remains intact.
Real Trade Example:
Around the time the grindy staircase begins to emerge, we see a slow, consistent increase in volume.
Filter 1: slow grindy staircase ✅Filter 2: clearly increasing volume ✅
Lastly,
Filter 3: Moving Average Crossovers
This filter distinguishes trending markets (good for momentum) from choppy, indecisive markets (bad for momentum).
What you WANT to see: Moving averages with minimal crossovers. This indicates a directional trend.
What you DON’T want to see: Frequent crossovers. This signals chop and indecision.
Fewer crossovers = cleaner trend or range = better momentum continuation.
Use the 30SMMA (Smoothed Moving Average).
✍️Quick Actionable Step:
To add the 30SMMA on your charts:
Search for the Smoothed Moving Average Indicator in TradingViewAdd it to your chartGo into settings and change the "Length" to "30"
Real Trade Example:
Filter 1 (Price Action): slow grindy staircase ✅
Filter 2 (Volume): clearly increasing volume ✅
Filter 3 (Crossovers): minimal MA crossovers ✅
🎓Lesson 2 Summary
Slow grinding staircase approaches have better follow-through than fast spikesVolume should be gradual (increasing or decreasing), not flat or spikingFewer MA crossovers indicate cleaner directional conditions for momentum
Lesson 3: Identifying Setups
Now you know what momentum is.
You also know the optimal conditions for it.
Next, you need to know where to execute these trades.
Step 1: Draw Support and Resistance Levels
Momentum trades happen at these key levels. You need to identify them consistently.
I've already written an in-depth masterclass on how to set these levels. I'll link it at the end of this article.
Common mistake: Traders draw levels randomly or inconsistently, leading to missed setups or false signals.
Do this instead: Use my step-by-step approach at the end of this article.
Step 2: Await Your Entry Trigger on the 1-Minute Chart
Once you’ve identified a resistance level on your primary timeframe, switch to the 1-minute chart for precise entry timing.
Why 1-minute chart?
You learn faster.
More trades, more chart exposure and more oppurtunities to practice psychology.
I’ve added a bonus guide on why you should be trading the 1-minute chart at the end of this article.
Real Trade Example:
Step 3: Three Filters
Before entering, check the three filters from Section 2:
Is price approaching resistance in a slow staircase pattern?Is volume gradually increasing or decreasing (not flat or spiking)?Are there minimal MA crossovers (not choppy)?
If any filter fails, reduce your risk on the trade. Only take full risk on A-grade setups, not forcing trades in poor conditions.
🎓Lesson 3 Summary
Draw levels using the ZCT masterclass approach at the end of this articleUse your entry trigger on the 1-minute timeframe: 2 candle closes above for confirmationCheck all three filters before entering, allocate risk and size accordingly
Lesson 4: Strategy Logic: Stop Loss, and Take Profit
You've drawn your levels. You've confirmed the setup aligns with optimal momentum conditions.
Now you need precise execution.
Entry timing, stop placement, and profit targets determine whether you capture the momentum move or get stopped out on a good setup.
This is where most traders lose, not in analysis, but in execution.
Step 4: Entry Trigger
We have established to wait for two consecutive 1-minute candles to close fully above the resistance level. This confirms the level broke and momentum is continuing.
Critical execution detail: After the second candle closes above resistance, place a limit order AT the resistance level (now acting as support), not above it. Price often pulls back slightly after breaking out. Your limit order gets filled on the pullback without chasing.
Common mistake: Traders wait for confirmation, then market-buy above resistance as price runs away. They enter late with a wider stop and worse risk/reward.
→ Do this instead: Preset your limit order AT resistance after the second candle closes. Let price come back to you.
Real Trade Example:
Step 5: Stop Loss
A swing low is:
the lowest wick in a pullback.
Your stop loss goes at the most recent swing low before the breakout.
Common mistake: Traders place stops at the nearest swing low, even if it’s only 0.3% away, leading to frequent stop-outs from normal volatility
Do this instead: Always measure the distance of your stop loss using the ruler tool on TradingView. If it’s less than 1%, use the next swing low down.
Step 6: Take Profit 1R (Equal Distance to Stop)
Your take profit target is 1R, the same distance as your stop loss, but in the profit direction
If your stop loss is 1.982% away from entry, your target is also 1.982% away, but on the upside. This gives you a 1:1 risk/reward ratio.
Why 1R? It’s conservative and achievable. Momentum trades often hit 1R quickly because the breakout has follow-through. You’re not trying to catch the entire move, you’re taking a high-probability piece of it.
Over time, as you get data in your journal, you can start extending your profit targets when you see how far your average winning trades go beyond 1R. This way, you’re not guessing where to take profits, but following a systematic approach.
Real Trade Example:
🎓Lesson 4 summary
Enter after two 1-minute candle closes above resistance, using a limit order at prior resistance (now support) to avoid chasing price.Place stop losses at the most recent valid swing low, ensuring enough distance to avoid normal volatility and minor stop hunts.Set initial profit targets at 1R to capture high-probability momentum continuation in a repeatable, systematic way.
Immediate Next Steps✍️:
Read the Support and Resistance Masterclass to learn how to draw levels (shared at end of article)Look at 3 charts using the 3 filter checklist to identify a momentum trade environmentUse the strategy steps to enter your tradeGather 30 trades using this method, journalled and reviewed against the criteria
🎓 Final Summary
Lesson 1: Momentum vs Mean Reversion
Momentum trades bet that price will continue through a level, while mean reversion trades bet that a level will hold and reject price.Both strategies are valid, but performance depends entirely on matching the strategy to the correct trade environment.
Understanding this distinction prevents applying breakout logic in conditions where it has no edge.
Lesson 2: Optimal Trade Environment
High-quality breakouts form when price approaches resistance in a slow, grinding staircase rather than fast vertical spikes.Volume should build gradually to confirm sustained participation, not remain flat or spike from exhaustion.Minimal moving average crossovers indicate cleaner directional conditions where momentum continuation is more likely.
Lesson 3: Identifying Setups
Momentum trades should be executed at consistently drawn support and resistance levels.Entries are triggered on the 1-minute chart using two consecutive candle closes above resistance for confirmation.All three environment filters must align before taking full risk; weaker conditions require reduced sizing or passing the trade.
Lesson 4: Stop Loss and Take Profit
Enter using a limit order at prior resistance (now support) after two confirmed 1-minute candle closes to avoid chasing price.Stop losses should be placed at the most recent valid swing low with enough distance to avoid normal volatility and minor stop hunts.Initial profit targets are set at 1R to capture high-probability momentum continuation in a repeatable way.
The next time price approaches resistance, you won’t have to guess if it will break out.
You’ll know when a breakout has real momentum, when volume confirms it, and when conditions support follow-through.
You’ll also execute with defined entries, stops, and targets.
#CryptoZeno #CryptoMarketCapNears2.6T

This information was never meant for retail eyes.
But I’m done watching people get slaughtered by algorithms designed to take your money.
Stop trading against them. Start trading WITH them.
Here are the 4 execution models they run everyday:
1. THE STOP HUNT (Model 1)
Nothing moves until they collect. Price gets driven into a higher timeframe POI to wipe out everyone who entered too early.
They raid the lows, they eat every stop loss in sight.
ONLY after the destruction do they shift market structure and print a fair value gap.
If you bought before the sweep, congratulations, you were the exit door.
2. THE TRAP (Model 2)
This is why smart retail traders still lose.
Because even after the structure shift, there’s another layer.
They engineer an internal liquidity grab, a pullback that looks perfect. It’s BAIT.
Price moves up, you enter long, and they nuke it one final time to wipe the last hands before the actual move begins.
3. THE ALGORITHM’S PRICE (Model 3)
Institutions don’t chase, they calculate.
They need the optimal trade entry, the 0.62 to 0.79 Fibonacci retracement zone.
When a fair value gap sits inside that window, the math lines up perfectly. That’s when the real money enters, not before.
4. THE RANGE TRAP (Model 4)
This is textbook accumulation disguised as boredom. They lock price in a tight consolidation until you give up and close your position.
Then they fake a breakdown, sweeping HTF liquidity, only to reverse and rip back inside the range.
That retest of the original box? That’s not support. That’s institutions reloading before launch.
THE TRUTH:
Every candle on your chart is engineered to make you do the wrong thing at the wrong time.
These 4 models aren’t strategies. They’re the actual architecture of how price is delivered.
Billions flow through these patterns while retail stares at RSI divergences.
Save this post and study it.
You are either the hunter or the hunted.
I’m sharing this because I’m tired of watching good people get destroyed by a game they don’t understand.
I’ve been studying macro for over 20 years, and I’ve called the last 3 major market tops and bottoms.
#CryptoZeno #Saylor100MBTCAccessViaMSTR

Le trading, c’est bien plus que des courbes et des chiffres. C'est une guerre psychologique contre soi-même. Oublier un seul paramètre peut cramer un compte en un clic.
Pour réussir, un trader doit d’abord bâtir un système robuste, aligné avec sa propre psychologie et sa tolérance au risque. Ensuite, il doit l'exécuter avec une discipline de fer et une confiance aveugle, peu importe la météo du marché. Enfin, la gestion du risque (via le position sizing et la limite des positions ouvertes) est non négociable. C’est elle qui te permet de survivre aux séries de pertes pour rester dans le jeu et capter les vagues haussières.
Voici les 30 règles indispensables pour survivre à ta première année ou transformer ton trading non rentable en machine à gains.
🧠 SECTION 1 : PSYCHOLOGIE DU TRADER Garde le bon état d'esprit.
Reste agile : Suis le flux du Price Action. L'ego, l'obstination et les émotions sont les pires indicateurs pour placer tes entrées et tes sorties.Accepte le marché : Tu ne contrôles que tes entrées, tes sorties, la taille de tes positions et ton risque. C'est le marché (et lui seul) qui décide si tu es rentable.Pas de plan, pas de trade : Tu dois impérativement avoir un plan de trading écrit avant de te positionner. C'est ton ancre au milieu de la tempête.Choisis les gains, pas l’ego : Abandonne le besoin d'avoir toujours raison. Remplace-le par l'objectif de faire du profit. Pour gagner, la première étape est de couper un trade perdant dès que tu réalises que ton scénario est invalide.Maîtrise la taille de tes bags : Ne trade jamais des positions si grosses que tes émotions prennent le dessus sur ton plan.Méfie-toi de ton instinct : "Si ça semble trop confortable, ne le fais pas." – Richard WeissmanAdapte-toi à tes séries : Augmente tes tailles de position pendant tes winning streaks (séries gagnantes) et réduis-les au minimum pendant tes losing streaks (séries perdantes).Priorise ta discipline : Ne t'inquiète pas de perdre de l'argent (ça se récupère) ; inquiète-toi de perdre ta discipline de trading.Protège tes nerfs : Un trade perdant te coûte du capital, mais laisser une grosse perte dériver détruit ta psychologie. Coupe court pour préserver ton calme autant que ton portefeuille.Concocte ta propre foi : Le succès n'arrive que si tu as une confiance totale en toi, en la rentabilité de ton système, et dans ta capacité à rester discipliné sur le long terme.
🛡️ SECTION 2 : GESTION DES RISQUES Divise ton risque de ruine par mille.
Connais ta sortie : N'entre jamais dans un trade sans savoir exactement où tu couperas si le marché te donne tort.Le Stop Loss d'abord : Trouve d'abord le niveau technique d'invalidation (ton Stop Loss), puis calcule la taille de ta position en fonction de cet écart.Focus sur la perte : Avant d’entrer en position, focus-toi comme un laser sur ce que tu peux perdre, pas sur les gains potentiels.Règle du 1% : Structure tes positions et tes stops pour ne jamais perdre plus de 1% de ton capital total sur un seul trade perdant.Risque global maximum : Ton exposition (risque total) sur le marché ne doit jamais dépasser 5% de ton compte en simultané.Dompte la volatilité : Comprends la dynamique du marché et réduis la taille de tes positions lorsque la volatilité explose.Ne jamais DCA un trade perdant : N'ajoute jamais de capital à une position qui perd. C'est le meilleur moyen de liquider un compte en luttant contre la tendance.Les 4 issues d'un trade : Tes trades ne doivent se terminer que de 4 façons : un petit gain, un gros gain, un breakeven (neutre), ou une petite perte. Jamais une grosse perte. Élimine les grosses pertes et le succès suivra.Sois intransigeant : Sois ultra-rigide avec tes règles de gestion des risques. Ne cède rien. En sport comme en trading, c'est la défense qui fait gagner les championnats et sécurise les profits.Laisse courir avec des Trailing Stops : La plupart du temps, les trailing stops (stops suiveurs) rapportent plus que les objectifs fixes (Take Profits). On a besoin de gros coups d'éclat pour éponger les petites pertes, et les tendances vont souvent plus loin qu'on ne l'imagine.
⚙️ SECTION 3 : TA MÉTHODE DE TRADING Bâtis un système gagnant adapté à ton profil.
Trade le présent : "Trade ce qui se passe... Pas ce que tu penses qu'il va se passer." – Doug GregorySuis la force : Prends des positions longues (achat) sur la force et des positions short (vente) sur la faiblesse, selon ton horizon de temps.Trouve ton Edge : Identifie et exploite ton avantage statistique par rapport aux autres acteurs du marché.Des faits, pas du vent : Ton système de trading doit reposer sur des données chiffrées et quantifiables, jamais sur de simples opinions.Focus graphiques : Trade le graphique, pas les news.Choisis ton modèle : Un système robuste doit soit afficher un taux de réussite très élevé (Win Rate), soit générer de gros gains face à de petites pertes (Risk/Reward élevé).Ratios asymétriques : Prends uniquement des setups qui offrent un ratio risque/récompense largement en ta faveur.Maîtrise ton Timeframe : À la question "Quelle est la tendance ?", la vraie réponse est "Sur quelle unité de temps trades-tu ?" – Richard Weissman. Trade toujours dans le sens de la tendance de ton timeframe, jusqu'au point de retournement complet.Filtre le bruit : Ne prends que les signaux d'entrée légitimes qui offrent un vrai avantage statistique. Évite de te faire piéger par le bruit de fond du marché.Respire avec tes Stops : Place tes Stop Losses en dehors des zones de bruit (mèches et volatilité court terme) pour n'être sorti du marché que si ton scénario est réellement invalidé.
#CryptoZeno #StablRDepegsAfterAttack

A cryptographer found a hidden fingerprint in Bitcoin’s earliest blocks that proves ONE person mined 1.1 MILLION BTC and never spent a single coin
That stash is worth over $115 BILLION today
In 2013 a researcher named Sergio Demian Lerner was studying the very first blocks ever mined on Bitcoin. He noticed something nobody else had spotted in 4 years
Every Bitcoin block contains a small data field called the ExtraNonce. It’s a number that gets incremented every time a miner generates a block. Different miners produce different ExtraNonce sequences
Lerner mapped the ExtraNonce values from the first 50,000 blocks and discovered something incredible
When you plot them on a graph they form slopes. Each slope represents a single miner
There were dozens of slopes. But ONE dominated everything
A single slope appeared across approximately 22,000 of the first 36,000 blocks ever mined. Perfectly consistent timing, identical software behavior, no overlap with itself, and a self imposed limit
Lerner named this miner “Patoshi”
The math became obvious. Patoshi mined approximately 1.1 MILLION Bitcoin during 2009 and the first half of 2010
That’s 5.7% of every Bitcoin that will ever exist. Mined by one person before almost anyone else knew what Bitcoin was
Satoshi’s mining code incremented the ExtraNonce field differently than any other miner’s which was an unintentional fingerprint built into the original Bitcoin client itself
Through cross referencing with known transactions between Satoshi and early developers like Hal Finney, the cryptography community concluded the Patoshi miner was almost certainly Satoshi Nakamoto
The wildest part is what Patoshi DIDN’T do
He could have mined far more. The Bitcoin network in 2009 had so few participants that Satoshi’s hardware was effectively the entire network. He could have captured close to 100% of all blocks for months
Instead the pattern shows Patoshi deliberately throttled his hash rate to roughly 50% of his actual capability. He was leaving room for other miners to win blocks
Patoshi also stopped mining at the same time every day. The on/off pattern looks more like one person running a computer in their study than an industrial operation
Around April 2010 the Patoshi pattern stops appearing entirely. Satoshi never mined another block
Over a year later in April 2011 he sent his last public message and disappeared forever
The 1.1 MILLION BTC is still sitting in approximately 20,000 separate addresses across the chain
It has not moved in 16 YEARS
The single largest dormant fortune in human history measured by current value. Worth more than the GDP of most countries and owned by an identity nobody has ever confirmed
The Patoshi pattern is the closest thing we have to evidence that Bitcoin was created by an individual rather than a state actor or organization
The mining patterns show one person, one timezone, one consistent personality taking breaks like a normal human
If they ever sell, the entire crypto market would have to absorb the largest single liquidation in financial history
If they never sell, those 1.1 MILLION BTC are effectively burned forever making Bitcoin’s true circulating supply much smaller than people think
Both outcomes are world changing. The decision rests with one person who hasn’t been seen since 2011
The person it points to is gone
#CryptoZeno #StriveAcquires382BTCFor$30.3M

His name was Zhou Tong
In 2010 he was a 16 year old Chinese teenager in Singapore who bought his first Bitcoin for $10
By 2011 he had taught himself to code and decided every existing exchange sucked
So he built his own in FOUR DAYS
He called it Bitcoinica. It wasn’t just another exchange at the time… It was the first crypto margin trading platform in history
Users could bet up to 50 BTC instantly on the price of Bitcoin going up or down
Back then long, short or leverage never existed in crypto until this kid built it
The platform exploded and within months Bitcoinica was doing $40 MILLION per month in volume, second only to Mt. Gox
Zhou personally cleared 2,000 BTC in his first two weeks. Worth $215 MILLION today
Then he had to take school exams
Running the second largest crypto exchange in the world didn’t fit with finals. So he sold the platform to a company called Wendon Group in late 2011
Wendon went all in. They brought in legendary developer Amir Taaki for security. They spent $1 MILLION buying the domain Bitcoin com to give it credibility
They got hacked 4 months later
In March 2012 the hot wallet was drained of 43,554 BTC. The hackers reset passwords on the exchange’s hosting provider Linode and walked in
No multisig existed yet. If you had the password, you had the keys
Two months later they got hit again for 18,000 BTC
In July they got hit a THIRD time for another 40,000 BTC plus $40,000 in cash
Total: 101,554 BTC gone. Over $11 BILLION at today’s prices evaporated from the second largest crypto exchange in the world in a single year
Roger Ver alone lost 24,000 BTC
Then it got weirder
On chain investigators tracked the stolen funds moving through Mt. Gox accounts
They observed coordination between Bitcoinica wallets and Mt. Gox mixing the trail
80 BTC was sent to a wallet belonging to Theymos Michael Marquardt, moderator of Bitcointalk the most influential forum in crypto
The “recovery effort” funds were moving through the same hands that controlled crypto’s main information venues
Theymos was later subpoenaed during the Silk Road and Mt. Gox investigations. The full picture was never resolved
Zhou Tong’s last public move was buying ONE Casascius coin
Casascius coins were physical gold coins minted in 2011, each containing a real Bitcoin private key embedded under a tamper proof hologram
Zhou bought one of THREE remaining 1,000 BTC ultra rare versions for 1,000 BTC
That single coin is worth over $100 MILLION today
Then he disappeared
For years the community speculated whether he was complicit, whether his partners stole the funds, whether he knew the whole time
He hinted at “dishonest partners and employees” in his final Bitcointalk post and never elaborated
All from a kid who couldn’t keep running it because he had finals
“Zhao Tonged” became slang in crypto for getting wiped out by an exchange you trusted
A teenager in Singapore built the future of crypto trading in 4 days, lost the equivalent of a small country’s GDP, walked away with the rarest single item in Bitcoin history, and was never heard from again
The first margin exchange. The first mega hack. The first OG to vanish without a trace
All from a kid who couldn’t keep running it because he had finals
#CryptoZeno #PolymarketNasdaqPredictionMarketPartnership

A cryptographer found a hidden fingerprint in Bitcoin’s earliest blocks that proves ONE person mined 1.1 MILLION BTC and never spent a single coin
That stash is worth over $115 BILLION today
In 2013 a researcher named Sergio Demian Lerner was studying the very first blocks ever mined on Bitcoin. He noticed something nobody else had spotted in 4 years
Every Bitcoin block contains a small data field called the ExtraNonce. It’s a number that gets incremented every time a miner generates a block. Different miners produce different ExtraNonce sequences
Lerner mapped the ExtraNonce values from the first 50,000 blocks and discovered something incredible
When you plot them on a graph they form slopes. Each slope represents a single miner
There were dozens of slopes. But ONE dominated everything
A single slope appeared across approximately 22,000 of the first 36,000 blocks ever mined. Perfectly consistent timing, identical software behavior, no overlap with itself, and a self imposed limit
Lerner named this miner “Patoshi”
The math became obvious. Patoshi mined approximately 1.1 MILLION Bitcoin during 2009 and the first half of 2010
That’s 5.7% of every Bitcoin that will ever exist. Mined by one person before almost anyone else knew what Bitcoin was
Satoshi’s mining code incremented the ExtraNonce field differently than any other miner’s which was an unintentional fingerprint built into the original Bitcoin client itself
Through cross referencing with known transactions between Satoshi and early developers like Hal Finney, the cryptography community concluded the Patoshi miner was almost certainly Satoshi Nakamoto
The wildest part is what Patoshi DIDN’T do
He could have mined far more. The Bitcoin network in 2009 had so few participants that Satoshi’s hardware was effectively the entire network. He could have captured close to 100% of all blocks for months
Instead the pattern shows Patoshi deliberately throttled his hash rate to roughly 50% of his actual capability. He was leaving room for other miners to win blocks
Patoshi also stopped mining at the same time every day. The on/off pattern looks more like one person running a computer in their study than an industrial operation
Around April 2010 the Patoshi pattern stops appearing entirely. Satoshi never mined another block
Over a year later in April 2011 he sent his last public message and disappeared forever
The 1.1 MILLION BTC is still sitting in approximately 20,000 separate addresses across the chain
It has not moved in 16 YEARS
The single largest dormant fortune in human history measured by current value. Worth more than the GDP of most countries and owned by an identity nobody has ever confirmed
The Patoshi pattern is the closest thing we have to evidence that Bitcoin was created by an individual rather than a state actor or organization
The mining patterns show one person, one timezone, one consistent personality taking breaks like a normal human
If they ever sell, the entire crypto market would have to absorb the largest single liquidation in financial history
If they never sell, those 1.1 MILLION BTC are effectively burned forever making Bitcoin’s true circulating supply much smaller than people think
Both outcomes are world changing. The decision rests with one person who hasn’t been seen since 2011
The person it points to is gone
#CryptoZeno #StriveAcquires382BTCFor$30.3M

The entire 2013 Bitcoin bull run from $150 to $1,200 was fake and was printed by two bots inside an insolvent exchange that had already lost half a billion dollars
The exchange was Mt. Gox
In 2013 Mt. Gox was processing 70% of all Bitcoin trades on Earth. If you bought BTC during that bull run, you almost certainly bought it on Mt. Gox
What nobody knew was that Mt. Gox had already been hacked
In June 2011 hackers drained approximately 650,000 BTC from the exchange’s wallets
CEO Mark Karpeles never told anyone. He kept Mt. Gox running for nearly 3 more years while the exchange was technically insolvent
To hide the missing coins he started running two trading bots inside his own exchange
The first was called Markus
Markus appeared in February 2013 and ran until September
The bot was credited with 335,898 BTC of buying activity that the exchange had no actual coins to back and no real Bitcoin changed hands
The trades were just database entries that made it look like someone was constantly buying BTC at every price level
The second bot was Willy
Willy took over in September 2013 right when Markus disappeared and the behavior pattern was almost identical
It would buy 10 to 20 Bitcoin every 5 to 10 minutes around the clock, using fake USD that didn’t exist to acquire real Bitcoin from sellers on the platform
When Willy hit a $2.5 million USD purchase target it would shut down and a new account would spin up to do exactly the same thing
Willy bought approximately 250,000 BTC over six weeks
Across both bots Mt. Gox printed about 600,000 BTC of fake demand into the market
Bitcoin’s price went from $150 in October 2013 to $1,242 by November 30. A 730% spike in two months. The largest bull run Bitcoin had ever experienced at that point
University of Tulsa and Tel Aviv University researchers later studied the leaked Mt. Gox database in detail
Their conclusion was that the suspicious trading activity caused the unprecedented spike
The 2013 bull run was a manipulated bubble engineered by an insolvent exchange
On the days the bots were active, they accounted for 12% to 50% of total Bitcoin trading volume across all major exchanges combined
Other exchanges’ prices followed Mt. Gox upward because traders assumed real demand was driving the move
Arbitrage bots transmitted the fake Mt. Gox price across the entire global Bitcoin market
Every retail buyer who entered Bitcoin during that run was buying into a manufactured bubble
The bubble couldn’t hold
In February 2014 Mt. Gox announced it had “discovered” 850,000 BTC missing from its reserves. Bitcoin crashed from $850 to $483 within months. It took two and a half years to reclaim the previous high
Karpeles was arrested in Japan in August 2015 on charges of manipulating electronic data
He admitted in court to running the Willy bot but disputed it was illegal. He spent nearly a year in jail before being released
The truth had been hiding in plain sight
Chainalysis confirmed through blockchain analysis that Mt. Gox had effectively zero Bitcoin in its wallets by mid 2013 eight months before the public collapse
The bots weren’t a side project. They were the only thing keeping the exchange alive
Every Bitcoin price chart from 2013 still shows the spike to $1,242 as a milestone
Most retail traders point to it as proof that Bitcoin can rally hard from any base
The reality is that peak was generated by a single CEO running fake buy orders on his own exchange because his exchange had no real Bitcoin left
#CryptoZeno #Trump'sIranAttackDelayed

Un cryptographe a découvert une empreinte cachée dans les premiers blocs de la blockchain Bitcoin. Sa conclusion est sans appel : une seule et unique personne a miné 1,1 million de BTC – une réserve intacte qui n'a jamais bougé d'un seul satoshi.
Au cours actuel, ce trésor dort sur la blockchain et pèse plus de 115 milliards de dollars.
La découverte du "Patoshi Pattern"
En 2013, le chercheur Sergio Demian Lerner se plonge dans l'analyse des tout premiers blocs du réseau. Quatre ans après le bloc génèse, il repère une anomalie que tout le monde avait manquée :
L’ExtraNonce sous la loupe : Chaque bloc Bitcoin contient un petit champ de données appelé ExtraNonce. Ce nombre s'incrémente chaque fois qu'un mineur génère un bloc. Comme chaque machine réagit différemment, chaque mineur produit une séquence d'ExtraNonce unique.La cartographie des données : Lerner a modélisé graphiquement les valeurs ExtraNonce des 50 000 premiers blocs. En traçant ces données, des lignes (des pentes) sont apparues, matérialisant chaque mineur de l'époque.
Parmi les dizaines de lignes de particuliers, UNE pente dominait outrageusement tout le graphique.
Cette signature unique représentait environ 22 000 des 36 000 premiers blocs jamais minés. Le timing était d'une régularité chirurgicale, le comportement du logiciel identique, sans aucun chevauchement avec lui-même, et soumis à une limite auto-imposée. Lerner venait de découvrir le mineur ultime, qu'il a baptisé "Patoshi".
Les chiffres vertigineux du mystérieux mineur
Les mathématiques ont rapidement parlé : Patoshi a accumulé environ 1,1 million de BTC entre 2009 et la première moitié de 2010. Cela représente 5,7 % de la supply totale qui existera jamais. Un empire bâti en solo, à une époque où le reste du monde ignorait l'existence du protocole.
L'origine de l'empreinte : Le code de minage utilisé par Satoshi incrémentait l'ExtraNonce d'une manière totalement différente des autres. Cette spécificité était en réalité une signature involontaire, directement ancrée dans le client Bitcoin d'origine.
En recoupant ce profil avec les premières transactions historiques (notamment celles envoyées à Hal Finney), la communauté crypto a validé la thèse : Patoshi et Satoshi Nakamoto ne font qu'un.
Un comportement purement altruiste
Le plus fascinant reste ce que Satoshi a choisi de ne pas faire.
En 2009, la puissance de calcul (hashrate) globale était si faible que le matériel informatique de Satoshi contrôlait virtuellement l'intégralité du réseau. S'il l'avait voulu, il aurait pu s'emparer de 100 % des blocs pendant des mois.
Pourtant, l'analyse des données prouve le contraire :
Bridage volontaire : Patoshi a délibérément limité sa puissance à environ 50 % de ses capacités réelles pour laisser de la place aux autres pionniers et permettre au réseau de se décentraliser.Des horaires humains : Le minage de Patoshi s'arrêtait à la même heure chaque jour. Ce rythme "On/Off" évoque un développeur activant son code depuis son bureau, loin d'une exploitation industrielle automatisée.
La disparition et le statut des fonds
Vers avril 2010, le profil "Patoshi" s'est éteint définitivement. Satoshi n'a plus jamais miné le moindre bloc. Un an plus tard, en avril 2011, il transmettait son dernier message public avant de s'évaporer.
Aujourd'hui, ces 1,1 million de BTC restent répartis sur environ 20 000 adresses distinctes. Ils n’ont pas bougé depuis 16 ans.
Il s'agit de la plus grande fortune dormante de l'histoire de l'humanité. Un capital supérieur au PIB de nombreux pays, détenu par une entité dont l'identité civile reste un mystère absolu.
Pourquoi c’est crucial pour l’écosystème ?
La preuve du créateur unique : Le schéma Patoshi est l'argument le plus solide démontrant que Bitcoin est l'œuvre d'un individu isolé (avec son fuseau horaire, ses pauses de sommeil et ses traits de caractère humains) plutôt que d'une agence étatique ou d'une organisation secrète.L'impact de marché : Le dénouement de cette histoire offre un scénario binaire qui redéfinira l'avenir de la finance :S'ils vendent un jour : Le marché crypto mondial devra absorber la plus grande liquidation de l'histoire financière.S'ils ne vendent jamais : Ces 1,1 million de jetons sont considérés comme définitivement brûlés (burnt), rendant la supply réelle en circulation beaucoup plus rare que prévu.
Quoi qu'il arrive, l'issue de ce mystère changera le monde. Et la clé reste entre les mains d'une seule personne disparue depuis 2011.
#CryptoZeno #StriveAcquires382BTCFor$30.3M

I’ve longed resistance and shorted support for 9 years… This is the exact opposite of what every trader tries to do.
In this article, I will share my entire strategy so you can skip years of testing and losses.
This is something you will want to bookmark, take notes on, and set time aside to think about.
Lesson 1: The Only 2 Trading Strategies
Before you can identify good momentum setups, you need to understand what momentum trading actually is.
Momentum and mean reversion are opposite strategies based on opposite assumptions.
The Two Trading Styles
Momentum (where you take a trade betting on a continuation of the current trend)Mean Reversion (where you take a trade betting on a reversal of the current trend)
One assumes strength continues; the other assumes strength exhausts.
Let’s consider this through a visual example.
Suppose price is approaching a resistance level (in other words, a level where there was previously selling pressure, preventing the price from moving higher).
Momentum assumes the level will break.
You’re betting on continuation.Price approaches resistance, you buy, expecting it to push through and keep running.The level becomes support once broken.
Mean reversion assumes the level will hold.
You’re betting on rejection.Price approaches resistance, you short, expecting it to bounce back down.The level acts as a ceiling.
Same chart. Same resistance level. Opposite strategies.
There is no right or wrong. The key is to understand when you are in a momentum trade environment, such that momentum strategies are highly aligned.
The next section shows you exactly how to identify when the environment favours momentum (my best strategy).
Lesson 1 Summary
There are 2 trading styles: momentum and mean reversionMean reversion bets levels will hold; momentum bets levels will breakOne is not better than the other; it depends entirely on the trade environment
Lesson 2: Optimal Trade Environment
Just opening a long every time price hits resistance won't make us any money.
Without the right conditions, momentum dies immediately after the breakout.
You enter. It reverses. You're stopped out.
That's not bad luck, that's a bad trading environment.
The Rowing Analogy
Imagine you’re rowing a boat.
You either row against or with the current.
One makes it easier to row while the other takes a lot more effort.
Your boat, or rowing technique, didn’t change… Only your environment did.
Trading is the same.
Your strategy is your boat.
Your optimal trade environment is the current.
Now use this 3-filter checklist to ensure you only take trades where a breakout is likely (with the current).
Filter 1: How Did Price Approach the Level?
What you WANT:
A slow, grinding staircase pattern approaching resistance.Each candle makes incremental progress.Higher lows are stacking up.Controlled, deliberate movement.
What you DON’T want:
A fast vertical spike into resistance.Price shoots up in one or two large candles.After a spike, buyers' strength is depleted and price typically consolidates or reverses.This is exhaustion, not momentum.
The staircase pattern shows sustained buying pressure building gradually. When this breaks through resistance, buyers are still engaged and ready to push further.
Common mistake: Traders see a strong candle break resistance and assume momentum is strong. But these fast moves often reverse quickly.
→ Do this instead: Take momentum trades when price approaches resistance in a slow, grinding staircase over multiple candles.
Real Trade Example:
Slow clear grind into resistance showing an optimal ‘price approach to level’ for momentum.
Filter 1: slow grindy staircase ✅
Filter 2: What Did Volume Look Like?
Volume confirms whether the price movement has conviction behind it.
What you WANT:
Gradual increase in volume as price approaches resistanceThis pattern shows controlled, sustainable momentum.
What you DON’T want:
Flat volume (no conviction) or sudden volume spikes (exhaustion).Flat volume means the move lacks participation.Volume spikes often mark climax points where momentum exhausts.Decreasing volume (why would price break out of resistance now, if volume was lower than before?)
Volume should mirror the price pattern, steady and building, not erratic.
This strategy works because momentum continuation is most likely when participation is sustained, supply is absorbed gradually, and structure remains intact.
Real Trade Example:
Around the time the grindy staircase begins to emerge, we see a slow, consistent increase in volume.
Filter 1: slow grindy staircase ✅Filter 2: clearly increasing volume ✅
Lastly,
Filter 3: Moving Average Crossovers
This filter distinguishes trending markets (good for momentum) from choppy, indecisive markets (bad for momentum).
What you WANT to see: Moving averages with minimal crossovers. This indicates a directional trend.
What you DON’T want to see: Frequent crossovers. This signals chop and indecision.
Fewer crossovers = cleaner trend or range = better momentum continuation.
Use the 30SMMA (Smoothed Moving Average).
✍️Quick Actionable Step:
To add the 30SMMA on your charts:
Search for the Smoothed Moving Average Indicator in TradingViewAdd it to your chartGo into settings and change the "Length" to "30"
Real Trade Example:
Filter 1 (Price Action): slow grindy staircase ✅
Filter 2 (Volume): clearly increasing volume ✅
Filter 3 (Crossovers): minimal MA crossovers ✅
🎓Lesson 2 Summary
Slow grinding staircase approaches have better follow-through than fast spikesVolume should be gradual (increasing or decreasing), not flat or spikingFewer MA crossovers indicate cleaner directional conditions for momentum
Lesson 3: Identifying Setups
Now you know what momentum is.
You also know the optimal conditions for it.
Next, you need to know where to execute these trades.
Step 1: Draw Support and Resistance Levels
Momentum trades happen at these key levels. You need to identify them consistently.
I've already written an in-depth masterclass on how to set these levels. I'll link it at the end of this article.
Common mistake: Traders draw levels randomly or inconsistently, leading to missed setups or false signals.
Do this instead: Use my step-by-step approach at the end of this article.
Step 2: Await Your Entry Trigger on the 1-Minute Chart
Once you’ve identified a resistance level on your primary timeframe, switch to the 1-minute chart for precise entry timing.
Why 1-minute chart?
You learn faster.
More trades, more chart exposure and more oppurtunities to practice psychology.
I’ve added a bonus guide on why you should be trading the 1-minute chart at the end of this article.
Real Trade Example:
Step 3: Three Filters
Before entering, check the three filters from Section 2:
Is price approaching resistance in a slow staircase pattern?Is volume gradually increasing or decreasing (not flat or spiking)?Are there minimal MA crossovers (not choppy)?
If any filter fails, reduce your risk on the trade. Only take full risk on A-grade setups, not forcing trades in poor conditions.
🎓Lesson 3 Summary
Draw levels using the ZCT masterclass approach at the end of this articleUse your entry trigger on the 1-minute timeframe: 2 candle closes above for confirmationCheck all three filters before entering, allocate risk and size accordingly
Lesson 4: Strategy Logic: Stop Loss, and Take Profit
You've drawn your levels. You've confirmed the setup aligns with optimal momentum conditions.
Now you need precise execution.
Entry timing, stop placement, and profit targets determine whether you capture the momentum move or get stopped out on a good setup.
This is where most traders lose, not in analysis, but in execution.
Step 4: Entry Trigger
We have established to wait for two consecutive 1-minute candles to close fully above the resistance level. This confirms the level broke and momentum is continuing.
Critical execution detail: After the second candle closes above resistance, place a limit order AT the resistance level (now acting as support), not above it. Price often pulls back slightly after breaking out. Your limit order gets filled on the pullback without chasing.
Common mistake: Traders wait for confirmation, then market-buy above resistance as price runs away. They enter late with a wider stop and worse risk/reward.
→ Do this instead: Preset your limit order AT resistance after the second candle closes. Let price come back to you.
Real Trade Example:
Step 5: Stop Loss
A swing low is:
the lowest wick in a pullback.
Your stop loss goes at the most recent swing low before the breakout.
Common mistake: Traders place stops at the nearest swing low, even if it’s only 0.3% away, leading to frequent stop-outs from normal volatility
Do this instead: Always measure the distance of your stop loss using the ruler tool on TradingView. If it’s less than 1%, use the next swing low down.
Step 6: Take Profit 1R (Equal Distance to Stop)
Your take profit target is 1R, the same distance as your stop loss, but in the profit direction
If your stop loss is 1.982% away from entry, your target is also 1.982% away, but on the upside. This gives you a 1:1 risk/reward ratio.
Why 1R? It’s conservative and achievable. Momentum trades often hit 1R quickly because the breakout has follow-through. You’re not trying to catch the entire move, you’re taking a high-probability piece of it.
Over time, as you get data in your journal, you can start extending your profit targets when you see how far your average winning trades go beyond 1R. This way, you’re not guessing where to take profits, but following a systematic approach.
Real Trade Example:
🎓Lesson 4 summary
Enter after two 1-minute candle closes above resistance, using a limit order at prior resistance (now support) to avoid chasing price.Place stop losses at the most recent valid swing low, ensuring enough distance to avoid normal volatility and minor stop hunts.Set initial profit targets at 1R to capture high-probability momentum continuation in a repeatable, systematic way.
Immediate Next Steps✍️:
Read the Support and Resistance Masterclass to learn how to draw levels (shared at end of article)Look at 3 charts using the 3 filter checklist to identify a momentum trade environmentUse the strategy steps to enter your tradeGather 30 trades using this method, journalled and reviewed against the criteria
🎓 Final Summary
Lesson 1: Momentum vs Mean Reversion
Momentum trades bet that price will continue through a level, while mean reversion trades bet that a level will hold and reject price.Both strategies are valid, but performance depends entirely on matching the strategy to the correct trade environment.
Understanding this distinction prevents applying breakout logic in conditions where it has no edge.
Lesson 2: Optimal Trade Environment
High-quality breakouts form when price approaches resistance in a slow, grinding staircase rather than fast vertical spikes.Volume should build gradually to confirm sustained participation, not remain flat or spike from exhaustion.Minimal moving average crossovers indicate cleaner directional conditions where momentum continuation is more likely.
Lesson 3: Identifying Setups
Momentum trades should be executed at consistently drawn support and resistance levels.Entries are triggered on the 1-minute chart using two consecutive candle closes above resistance for confirmation.All three environment filters must align before taking full risk; weaker conditions require reduced sizing or passing the trade.
Lesson 4: Stop Loss and Take Profit
Enter using a limit order at prior resistance (now support) after two confirmed 1-minute candle closes to avoid chasing price.Stop losses should be placed at the most recent valid swing low with enough distance to avoid normal volatility and minor stop hunts.Initial profit targets are set at 1R to capture high-probability momentum continuation in a repeatable way.
🎓What Changes From Here
The next time price approaches resistance, you won’t have to guess if it will break out.
You’ll know when a breakout has real momentum, when volume confirms it, and when conditions support follow-through.
You’ll also execute with defined entries, stops, and targets.
#CryptoZeno #tradingStrategy #BitcoinSpotETF1BWeeklyOutflow

My job everyday is to come to the table, look around and decide where could certain hands move price or force itself into the books in order to move price.
At least on the lower time frames I do this through tools like open interest, funding rates, live liquidations, delta, plus some intuition from repeatedly seeing the same patterns of liquidity repeated after years of watching the same market. These are the tools which give me the ability across a fragmented BTC market to identify where people are positioning, which side they are on, and which moves could force their hand.
I like to frame my thinking around a single quesiton before getting into a position:
Has the market priced this in yet?
If it hasn't been priced in then there's edge in what i'm trying to execute from. If I see the market has priced it in already then the edge has diminished and the trade is no longer there.
A good example of this is when looking for trapped traders, specifically looking at whether open interest has decreased or not to spot whether those "trapped positions" have forced their position back into the market.
The end goal is to position myself into the market early enough to exploit something Ive seen which I believe the market hasn't priced in yet.
Another great example of this, is through understanding liquidity in particular how thin books can allow for exaggerated price movements. If you pair that alongside trapped positioning you will very often get a very nice mean reversion setup.
A common misconception is that "thin books" can only be identified in real time and through looking at the dom. This is not true. Using volume candles or looking at how far price moved in relation to how much volume pushed it can help answer this question too. Alongside identifying surges in open interest to help identify trapped positions.
It's about finding your thesis for why you should get paid from the trade you want to take, then going to the technical board and figuring out which tools will help identify this in real time.
Don't pick random tools and use them because they look fancy, think about where your edge comes from (at route level) then decide which tools allow you to spot that mispriced event faster and in a more reliable manner than anyone else could.
A fast move into a predictable stop/tp zone that happens unusually fast relative to local regime is one thing I commonly look for. These moves are often engineered, meaning someone/group of people have forced price to a certain local level for liquidity purposes.
> Force price up
> Stops/liquidations triggered
> Limit sell orders filled
> No real conviction
> Price reverses
This requires some level of intuition to reliably identify, but in essence upon a break of a level I want to see excessive buying in the form of aggressive stops being hit or liquidations being forced into the book. Both offer up opportunity for opposing side limits to be filled, and if the move was manufactured or deliberately pushed up in this manner, theres no real conviction behind it, allows for a easy reversal.
It all comes down the fact that if I know why i'm looking for something at a certain location, that can be transferred over much easier than just punting random levels without reasoning.
Think about who you are trading against and how you can profit off that info before it is priced in, you are in the research business.
#CryptoZeno #SpaceXEyes2TIPO #BinanceUSimpleEarnFlexibleCampaign

Imagine you are tracking the price of an asset like a stock or a cryptocurrency over a period of time, such as a week, a day, or an hour. A candlestick chart is a way to represent this price data visually.
The candlestick has a body and two lines (often referred to as wicks or shadows). The body of the candlestick represents the range between the opening and closing prices within that period, while the wicks or shadows represent the highest and lowest prices reached during that same period.
A green body indicates that the price has increased during this period. A red body indicates a bearish candlestick, meaning that the price decreased during that period.
How to Read Candlestick Patterns
Candlestick patterns are formed by multiple candles in a specific sequence. There are numerous patterns, each with its interpretation. While some candlestick patterns provide insight into the balance between buyers and sellers, others may indicate a point of reversal, continuation, or indecision.
Keep in mind that candlestick patterns aren’t intrinsically buy or sell signals. Instead, they are a way of looking at price action and market trends to potentially identify upcoming opportunities. As such, it’s always helpful to look at patterns in context.
To reduce the risk of losses, many traders use candlestick patterns in combination with other methods of analysis, including the Wyckoff Method, the Elliott Wave Theory, and the Dow Theory. It’s also common to include technical analysis (TA) indicators, such as trend lines, the Relative Strength Index (RSI), Stochastic RSI, Ichimoku Clouds, or the Parabolic SAR.
Candlestick patterns can also be used in conjunction with support and resistance levels. In trading, support levels are price points where buying is expected to be stronger than selling, while resistance levels are price levels where selling is expected to be stronger than buying.
Bullish Candlestick Patterns
Hammer
A hammer is a candlestick with a long lower wick at the bottom of a downtrend, where the lower wick is at least twice the size of the body.
A hammer shows that despite high selling pressure, buyers (bulls) pushed the price back up near the open. A hammer can be red or green, but green hammers usually indicate a stronger bullish reaction.
Inverted hammer
This pattern is just like a hammer but with a long wick above the body instead of below. Similar to a hammer, the upper wick should be at least twice the size of the body.
An inverted hammer occurs at the bottom of a downtrend and may indicate a potential reversal to the upside. The upper wick suggests that the price has stopped its downward movement, even though the sellers eventually managed to drive it back down near the open (giving the inverted hammer its typical shape).
In short, the inverted hammer may indicate that selling pressure is slowing down and buyers may soon take control of the market.
Three white soldiers
The three white soldiers pattern consists of three consecutive green candlesticks that all open within the body of the previous candle and close above the previous candle's high.
In this pattern, the candlesticks have small or absent lower wicks. This indicates that buyers are stronger than sellers (driving the price higher). Some traders also consider the size of the candlesticks and the length of their wicks. The pattern tends to work out better when the candlestick bodies are bigger (stronger buying pressure).
Bullish harami
A bullish harami is a long red candlestick followed by a smaller green candlestick that's completely contained within the body of the previous candlestick.
The bullish harami can be formed over two or more days, and it's a pattern that indicates that the selling momentum is slowing down and may be coming to an end.
Bearish Candlestick Patterns
Hanging man
The hanging man is the bearish equivalent of a hammer. It typically forms at the end of an uptrend with a small body and a long lower wick.
The lower wick indicates that there was a significant sell-off after the uptrend, but the bulls managed to regain control and drive the price back up (temporarily). It’s a point where buyers try to keep the uptrend going while more sellers step in, creating a point of uncertainty.
The hanging man after a long uptrend can act as a warning that the bulls may soon lose momentum in the market, suggesting a potential reversal to the downside.
Shooting star
The shooting star consists of a candlestick with a long top wick, little or no bottom wick, and a small body, ideally near the bottom. The shooting star is very similar in shape to the inverted hammer, but it’s formed at the end of an uptrend.
This candlestick pattern indicates that the market reached a local high, but then the sellers took control and drove the price back down. While some traders like to sell or open short positions when a shooting star is formed, others prefer to wait for the next candlesticks to confirm the pattern.
Three black crows
The three black crows consist of three consecutive red candlesticks that open within the body of the previous candle and close below the low of the last candle.
They are the bearish equivalent of three white soldiers. Typically, these candlesticks don’t have long higher wicks, indicating that selling pressure continues to push the price lower. The size of the candlesticks and the length of the wicks can also be used to judge the chances of downtrend continuation.
Bearish harami
The bearish harami is a long green candlestick followed by a small red candlestick with a body that is completely contained within the body of the previous candlestick.
The bearish harami can unfold over two or more periods (i.e., two or more days if you are using a daily chart). This pattern typically appears at the end of an uptrend and can indicate a reversal as buyers lose momentum.
Dark cloud cover
The dark cloud cover pattern consists of a red candlestick that opens above the close of the previous green candlestick but then closes below the midpoint of that candlestick.
This pattern tends to be more relevant when accompanied by high trading volume, indicating that momentum may soon shift from bullish to bearish. Some traders prefer to wait for a third red bar to confirm the pattern.
Three Continuation Candlestick Patterns
Rising three methods
The rising three methods candlestick pattern occurs in an uptrend where three consecutive red candlesticks with small bodies are followed by the continuation of the uptrend. Ideally, the red candles should not break the area of the previous candlestick.
The continuation is confirmed by a green candle with a large body, indicating that the bulls are back in control of the trend.
Falling three methods
The falling three methods are the inverse of the three rising methods. It indicates the continuation of a downtrend.
Doji candlestick pattern
A doji forms when the open and close are the same (or very similar). The price may move above and below the opening price but will eventually close at or near it. As such, a doji can indicate a point of indecision between buying and selling forces. However, the interpretation of a doji is highly contextual.
Depending on where the open and close line falls, a doji can be described as a gravestone, long-legged, or dragonfly doji.
Gravestone Doji
This is a bearish reversal candlestick with a long upper wick and the open and close near the low.
Long-legged Doji
Indecisive candlestick with top and bottom wicks and the open and close near the midpoint.
Dragonfly Doji
Either a bullish or bearish candlestick, depending on the context, with a long lower wick and the open/close near the high.
According to the original definition of the doji, the open and close should be the same. What if the open and close aren't the same but are very close to each other? That's called a spinning top. However, since cryptocurrency markets can be very volatile, an exact doji is quite rare, so the spinning top is often used interchangeably with the term doji.
Candlestick Patterns Based on Price Gaps
A price gap occurs when a financial asset opens above or below its previous closing price, creating a gap between the two candlesticks.
While many candlestick patterns include price gaps, patterns based on gaps aren’t prevalent in the crypto markets because they are open 24/7. Price gaps can also occur in illiquid markets, but aren’t useful as actionable patterns because they mainly indicate low liquidity and high bid-ask spreads.
How to Use Candlestick Patterns in Crypto Trading
Traders should keep the following tips in mind when using candlestick patterns in crypto trading:
Crypto traders should have a solid understanding of the basics of candlestick patterns before using them to make trading decisions. This includes understanding how to read candlestick charts and the various patterns they can form. Don’t take risks if you aren’t familiar with the basics.
While candlestick patterns can provide valuable insights, they should be used with other technical indicators to form more well-rounded projections. Some examples of indicators that can be used in combination with candlestick patterns include moving averages, RSI, and MACD.
Crypto traders should analyze candlestick patterns across multiple timeframes to gain a broader understanding of market sentiment. For example, if a trader is analyzing a daily chart, they should also look at the hourly and 15-minute charts to see how the patterns play out in different timeframes.
Using candlestick patterns carries risks like any trading strategy. Traders should always practice risk management techniques, such as setting stop-loss orders, to protect their capital. It's also important to avoid overtrading and only enter trades with a favorable risk-reward ratio.
Candlestick patterns don’t predict the future, but they do reveal how market participants are behaving in real time. Used correctly, they offer insight into momentum, exhaustion, and market psychology.
Used incorrectly, they become just another reason traders overtrade and ignore risk.
Understanding candlesticks isn’t about finding perfect entries. It’s about learning to read price action with context and letting the market show its hand before you act.
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