How "Whales" Manipulate Markets: A Trader's Guide to SucceedEvery chart tells a story of institutional footprints. For most, it's chaotic noise. But when you understand the market's true engine — the constant need of "Smart Money" to capture vast amounts of liquidity to fill their orders — that noise turns into a clear map.
This guide will teach you to read that map. We will break down the main types of manipulation and show you how to use them to identify high-probability zones for potential entries.
So, why exactly is liquidity the fuel for these "Smart Money" players, which for simplicity, we'll call "Whales"? It's because a Whale holds the largest volume of funds in a specific asset and, unlike retail traders like us, it cannot open its huge position at any given moment simply because there aren't enough buy or sell offers on the market.
To fill its orders, the Whale constantly carries out manipulations to capture additional liquidity. This isn't about deception or anything negative—it's how the market constantly forms its movements, how whales achieve their goals by moving from one liquidity pool to another, much like whales in the ocean hunt for plankton to get vital energy for long journeys from one feeding ground to another.
Why will these principles of price movement through manipulation, which worked decades ago, continue to work forever? Because human nature doesn't change over time. The crowd is always driven by greed and fear, making it easy to manipulate. Therefore, manipulation is often the motive for the birth of a future move and is a key element in market mechanics. If you understand these mechanics, you will be able to see the footprints of whales on any chart and not only minimize your chances of becoming their food but also join their next move to get your share of the profit in the boundless ocean of market opportunities.
Let's take a closer look at how whales carry out their manipulations and classify their types.
The Whale is constantly in hedged positions. To fill its large-sum orders without impacting the price, it uses the principles of Sell to Buy (STB) and Buy to Sell (BTS) .
The STB manipulation is used to accumulate long positions. To do this, the Whale opens an opposing short position, activating stop orders and liquidations of buyers, purchasing their positions at a favorable price. It also encourages other retail participants, especially breakout traders, to open short positions. Continuing to accumulate long positions, the Whale sharply moves the price up, liquidating short participants and absorbing their positions. After the price has moved up, the Whale is left with an open losing position from its short manipulation. To close it at breakeven or a small loss, the Whale needs to return the price back to the zone of its manipulation. This return is called mitigation .
In the opposite case, when the Whale needs to drive an asset's price down, it uses the BTS manipulation . To fill its short positions, the Whale opens a long position, activating stop-losses and forced liquidations of sellers, and encouraging retail breakout traders to also open long positions. Continuing to accumulate short positions, the Whale aggressively moves the price down, absorbing and liquidating the positions of impatient longs. After the downward impulse is complete, the Whale is left with an open losing long position. Just as in the first case, to close it at zero or a small loss, the Whale needs to return the price to the manipulation zone, after which another markdown of the asset occurs, and the cycle can be repeated as many times as necessary.
Thus, through manipulation, the Whale achieves two goals at once:
It gets the most favorable price.
It eliminates most of its competitors by liquidating their positions with an opposing move.
Most of the time, the price movement between manipulations is unpredictable. Entering during this movement, for example, in the middle or end of an impulse or within a range, increases the chances that you will become a victim of the next manipulation and liquidity for the Whale. However, if you wait for the price to arrive at the manipulation zone, also known as a Point of Interest (POI) , and ensure that the Whale acknowledges this area (i.e., it has stopped there and is beginning a reversal), the probability of choosing the correct direction for a trade will be on your side.
To help you recognize manipulation zones, let's look at their different types.
🔹 Order Block (OB) - A down candle (sometimes 2, rarely 3 candles) before an impulsive move up (in the case of a bullish OB), or an up candle (sometimes 2, rarely 3 candles) before an impulsive move down (in the case of a bearish OB). In most cases, this short, sharp move should sweep some form of significant liquidity. An additional confirmation of an Order Block is the immediate imbalance or Fair Value Gap (FVG) that follows it, because the Whale's intensive position accumulation and the associated impulse move don't allow enough time for all market participants' orders to be filled.
🔹 Demand/Supply Zones are similar in principle to Order Blocks but differ in that they have a more prolonged action, which can consist of many up or down candles, making these zones often significantly wider than OBs.
Demand Zone - The last downward move before an intensive rally.
Supply Zone - The last upward move before an intensive drop.
Often, an Order Block can be found inside a Demand/Supply zone.
🔹 Range - Also a manipulation zone and essentially an Order Block, but unlike an OB, this manipulation can last for a very long time when the Whale lacks sufficient liquidity from a quick manipulation and accumulates its large position by collecting internal and external liquidity through the range. Ranges, just like Order Blocks and Demand/Supply zones, are points of interest for the Whale to close its losing hedged positions and continue moving towards its goals.
Conditions for Applying and Validity of Manipulation Zones
An important condition for applying manipulation zones is that they can only be used once . That is, if the price has come to a zone and reacted to it, upon a second arrival, that zone is no longer valid. For convenience in marking used zones, I shorten them to the point of the first touch so as not to consider them anymore, but to understand which way the order flow is directed—a very important concept that, unlike structure, shows the true direction of the Whale's movement. Order flow is manifested by the price reacting to manipulation zones from below in an uptrend and from above in a downtrend.
It is also very important to understand that it makes sense to identify and use manipulation zones as one of a trade's entry conditions only from below for an uptrend and from above for a downtrend . Any counter-trend zones formed in the path of a trend are highly likely to be broken and serve as liquidity.
In ranges, manipulations formed after deviations can be used for entries from both sides.
Only manipulations that were formed at the beginning of an impulsive price move can be considered valid for entry. That is, they must be the manipulations that directly triggered the start of the move; in Smart Money terminology, they are often called the "origin" . Any manipulation in the middle or end of a move will most likely serve as liquidity on the way back to mitigate the origin zone.
How long does a manipulation zone remain relevant? It remains relevant until a new structural element (a higher high or a lower low) is formed , especially if the price has already come close to the manipulation zone, for example, into the FVG before the zone. This most likely means the Whale has already finished its business there and closed one of its losing hedged positions at a small loss. When the trend changes, such a zone will act as liquidity, not a POI. So, a manipulation zone will not always be mitigated; often, a reversal occurs from the FVG before it. However, entering from an FVG is much less reliable than from an Order Block, Demand/Supply zone, or Range. I personally skip such entries and wait for a new manipulation zone to form and be mitigated; they happen on the market constantly.
A good bonus that further strengthens the probability of a setup working out during the mitigation of manipulation zones is a liquidity sweep upon reaching them.
Consider the context and supplementary conditions. Although manipulation zones are the strongest areas for price reversals, they should always be used in conjunction with other supplementary conditions and tools, for example, with Fibonacci retracement levels or liquidity sweeps. "Context" implies any other conditions that can either confirm or contradict the likely direction of price movement. For example: in which phase of correction is the price? For a long, safe entries can only be considered from the discount zone (below the 50% Fib level); for shorts, only from the premium zone (above the 50% Fib level). Is there significant, un-swept liquidity nearby, such as previous daily, weekly, or monthly highs/lows, or an untouched Asian session high/low? What upcoming news could affect the asset and hit the stop before the setup plays out? At what time of day did the price mitigate the manipulation? Taking context into account is a crucial and integral part of analysis in the search for entry points.
Due to the fractal nature of market charts, manipulations can be seen on any timeframe. On weekly and daily timeframes, manipulation zones can be used for swing trading or investment purchases. 4-hour and 1-hour timeframes will show potential entries from manipulations for intraday trading or holding positions for several days. 5-minute and 1-minute timeframes will show manipulations in the form of order flow for final entry confirmation.
Whatever type of analysis you use for your trading, understanding the nature of market manipulations and practicing their recognition will allow you to be one step ahead of most market participants and open your trades with an understanding of which way institutional capital is most likely to move next.
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Full Breakdown of My Trading Strategy Dow Futures DaytradingI will be detailing my strategy to both help others and to help myself fine tune my strategy.
My strategy is one of market maker cycles. The end goal: to trade off of the Daily chart by drilling down to the 15 minutes for entries. Everything revolves around the Daily chart. The only indicator I use is ATR, other than that, pure price action. I use opening prices a lot in my trading.
Starting with the MONTHLY chart:
Every month has the following-
An opening price
A first trading day
A last trading day
These are things that ALL traders see and can't misinterpret.
I will use June as the basis for my examples.
I try to figure out what kind of monthly candle is likely to form. Bullish, Bearish or Doji. I use ATR to try to figure out the likely size also. For Dow Futures, a typical Monthly candle is around 3000 ticks +/-
Going to the Daily chart, I mark the beginning of the month and the end of the month.
The meat of the strategy, and the one quite frankly is the most difficult and the most discretionary, is reading price action on the Daily chart to determine what the next daily candle is likely to do and where it opens at. No strategy is 100% accurate and I do take losses from being wrong. With proper risk management ( I will detail my personal risk management later ) you can still make tons of money being 50% right.
Not everyday is meant to be traded and quite frankly, most days are pure trash. Over 55% of all Daily candles are small, resting Doji days. You are looking for the expansion daily candles.
Starting with the first trading of June:
1. May 29th, Large Doji day and and formed a mother bar
2. May 30th, another doji day and still inside the previous bar
3. June 2nd, opened up in middle of inside bar, Bias for day is Long. Buy near the bottom of the inside bar and a break of Yesterday's Low.
This is an actual trade I took. Once I saw the Doji candle on the 15 minute break below yesterday's low I entered in Long. I will go over stops and targets later. For now, I am explaining how I find my bias and locations.
The next day: start the process over again. Look at the Daily and the context of the bars. Look for swing points, Daily highs and lows. Key Daily bars as signals. I usually like to do this 5 minutes after Asia opens just to see where price opens at. I then mark the daily open with a cyan blue line. If I am Long bias then I want to buy under the open at key levels. I use SP as swing point, a daily high or low that has not been broken yet.
Tuesday, I would have a Long bias again. Because we opened still inside of the mother bar and I see highs not broken, I want to trade in that direction. What is a key level on this Tuesday? I see the monthly open right underneath. The big question I would ask myself on this Tuesday is where in that move can I get in on a pullback for the Long trade?
The market gives you an entry here.
I did not take that trade, I WILL show you the trade I did take on this day. After NY opened, I saw the spike into the monthly open and a doji right ON the open. I slammed Long. Especially, the three swing points to be used as the direction.
Now on to trade management. Stops, Targets. I have the same bracket for every trade, so the only variable is my entry. Once I enter, I set my ATM strategy.
I use the 15 minute ATR to determine my stop loss. This part is also up to the individual trader and is discretionary. I will show you MY strategy.
Take a zoomed-out view of the 15-minute chart with the 14 period ATR, mark the clusters of the peak ATR readings from NY sessions. In this case it is between 70-90. I tend to go towards the upper limit, this case 90. I then use 1.25-1.5 times of this reading based on my account and position sizing. In June AND in July, I am using 120 tick stops.
My targets are all strictly 2.5 risk to reward of what my stop is plus or minus a few ticks for commissions. Since I am using 120 tick stops, my targets are therefore, 300-310 ticks. Going back to my Tuesday trade, the trade management would be a set 2.5R all or nothing. Enter the trade and walk away. Go read a book or play PS5. Go to gym. It will either hit stop, target or close out at 4pm NY close.
2 Winning trades wipes away 5 losers. I have losers all the time with a 50% win rate. I can expect 8 losing trades in a row at any given time. Something I have experienced multiple times.
Now on to my money management strategy. The holy grail of this entire system. Quite frankly, how you enter and your strategy at the end of the day doesn't amount to much. How you manage your money is where professionalism is achieved.
Take your starting account balance, divide it in fours. I will use a 10,000 account as simple math.
10,000
2500 Level 1 14.5R
2500 Level 2 11.5R
2500 Level 3 9.5R
2500 Level 4 8.5R
I risk 1.75% per trade and each level will stay fixed until the next level is reached. In this example, Level 1 will be using $175 risk per trade and a 2.5 risk to reward, $440 reward. You will keep risking $175 per trade until you hit your $2500 profit goal to advance to Level 2. In this case this will take you 14.5R
Now you are on Level 2, you find your new account balance is now $12,500. Find 1.75% of this = $220. Keep using $220 risk until you hit another $2500 in profits. This will take you 11.5R.
Keep repeating these steps until you have hit all 4 profit levels and your account has doubled. Your new account balance is now $20,000. You will start this process over again. To double your account you will need a total of 44-45R. At a conservative approach of 5-7% monthly gain, you can expect to double your account in 8 months +/- depending on how good you can get.
The number one major key to ALL OF THIS IS
One trade per Daily candle. You lose on that day, move on and come again tomorrow
All profit targets need to be hit or close out at 4pm depending on price
Not All Pin Bars Are Created EqualA Two-Step Filter to Find the Ones That Actually Matter
We’ve all seen them. Long wicks, tight bodies, price rejecting a level. The classic pin bar. Textbook stuff, right?
But here’s the problem. Pin bars show up all over the chart. Some lead to clean reversals. Most do absolutely nothing. The trick isn’t spotting them. It’s knowing which ones to trust.
This is where a simple two-step filter can help. By asking two key questions, you immediately improve the quality of your trades and cut down on the false positives.
Step One: Where Did It Happen?
Before you look at shape or size, ask yourself one thing.
Did this pin bar form at a meaningful level?
Context is everything. A pin bar that forms into thin air, mid-range or in the middle of chop might look good, but it’s rarely reliable. What you’re looking for is reaction from structure. That could mean:
• A clean horizontal support or resistance level
• A prior swing high or low
• A daily VWAP or anchored VWAP from a key event
• The edge of a range or value area
• A trendline tested multiple times
In short, the level gives the pin bar a reason to exist. It becomes a reaction, not a random candle.
Mark the level before the candle forms. This stops you from retrofitting significance where there isn’t any.
Example:
Here we can see how the volume weighted average price (VWAP) can add meaningful context to a pin-bar setup. In this case, USD/CAD retraced against the prevailing downtrend and tested the VWAP anchored to the recent swing highs. At that point, price formed a clear pin-bar reversal, signalling rejection and potential continuation with the broader trend.
USD/CAD Daily Candle Chart
Past performance is not a reliable indicator of future results
Step Two: What’s Happening Under the Hood?
Once you’ve got a pin bar at a meaningful level, it’s time to look deeper. One of the best ways to do that is by dropping down to a lower timeframe, like the 5-minute chart, and replaying the session that created the candle.
Why?
Because daily candles can hide a lot. A clean pin bar might look like a strong rejection, but on the intraday chart, it might just be a low-volume fakeout or one impulsive move during quiet hours. On the other hand, a pin bar backed by real market structure is far more likely to hold.
Here’s what to look for on the lower timeframe:
• Was there a liquidity grab or stop run into the level?
• Did price pause, base or reverse with intent?
• Were there multiple attempts to push beyond the level that failed?
• Did volume spike during the rejection?
When a pin bar reflects a genuine intraday battle, not just a random wick, it often tells you more about the intentions of real participants.
Example:
In this example, GBP/USD forms a bearish pin-bar at a key area of swing resistance on the daily chart. Dropping down to the 5-minute timeframe helps reveal what actually happened inside that candle.
On this lower timeframe we can see that price initially pushed above resistance but failed to hold, triggering a steady wave of intraday selling pressure. This move was followed by a mild pullback during the latter half of the US session and into the New York close, reinforcing the idea of rejection and offering insight into the mechanics behind the pin-bar.
GBP/USD Daily Candle Chart
Past performance is not a reliable indicator of future results
GBP/USD 5min Candle Chart: How the Daily Pin-bar Formed
Past performance is not a reliable indicator of future results
Bonus Filter: What’s the Trend Context?
You could also add a third layer if you want to refine even further. Is the pin bar counter-trend, or is it a pullback within trend?
Counter-trend pin bars at key levels can work, but they’re lower probability and often take more time to play out. Pin bars that form as part of a pullback to structure in the direction of the prevailing trend tend to move more cleanly.
This is where using something like a 20 EMA or anchored VWAP can help frame the setup.
Putting It All Together
Next time you see a pin bar, pause. Don’t rush in. Ask yourself:
• Did this happen at a level that matters?
• Does the intraday story back up the candle?
If the answer is yes to both, now you’ve got something worth trading. Not just another wick in the wind.
Pin bars can be strong signals, but only when they reflect real intent. This two-step filter helps you cut through the clutter and focus on the ones that do.
Disclaimer: This is for information and learning purposes only. The information provided does not constitute investment advice nor take into account the individual financial circumstances or objectives of any investor. Any information that may be provided relating to past performance is not a reliable indicator of future results or performance. Social media channels are not relevant for UK residents.
Spread bets and CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. 85.24% of retail investor accounts lose money when trading spread bets and CFDs with this provider. You should consider whether you understand how spread bets and CFDs work and whether you can afford to take the high risk of losing your money.
Breakout vs Fakeout: How to Spot the DifferenceHello, Traders! 🖖🏻
There’s probably no phrase that triggers more mixed emotions in crypto trading than: “Looks like we’re breaking out!”. Because let’s be honest…For every clean breakout that follows through with momentum…
…there’s a fakeout waiting to trap overconfident entries.
So, how do you tell the difference? Let’s break it down!
🧱 What Is a Breakout?
A breakout occurs when the price moves decisively beyond a key level, such as support, resistance, a trendline, or a range boundary, and holds.
What makes it a REAL breakout?
Volume Expansion: More participants step in as the price moves through the level.
Strong Candle Closes: Especially on higher timeframes like 4H or 1D.
Follow-Through: The market doesn’t just poke above the level. It builds on it.
No Immediate Rejection: You don’t see a sharp wick straight back below.
Example from BTC (2021):
Look back at January to February 2021. BTC had been stuck under the $42K–$43K resistance for weeks. Every push got sold off, until it didn’t.
When the breakout finally came, it was clean. The massive daily candle closed right through the level. Volume exploded. And there wasn’t even a polite little retest, price just launched straight toward $58K, leaving anyone waiting for a pullback completely behind.
Pure trend breakout energy. Everything lined up: the context, the volume, the structure — textbook 🤌🏻
🪤 What Is a Fakeout?
A fakeout, on the other hand, looks like a breakout… until it isn’t. The price briefly moves beyond a key level, but then snaps back inside the range, often trapping late buyers (or sellers) and triggering stop-losses.
Common Signs of a FAKEOUT:
Low or Declining Volume (at the breakout moment).
Quick Rejection with a Long Wick (especially on intraday charts).
Failure to Hold Above the Level on Retest.
Divergence Between Timeframes: For example, a 15M breakout that looks strong while the 4H still shows consolidation.
Classic BTC example:
This one was sneaky! After BTC hit its all-time high around $65K, the market started looking shaky. Price tried to recover by pushing back into the $58K–$60K zone, a pretty critical level at the time. It looked like a breakout attempt… but something was off. No real volume. No strong candle closes. And then, BOOM, hard rejection. The price popped just enough above resistance to lure in breakout traders (and probably clear out some stop-losses)… then completely reversed. And not just a minor pullback, this fakeout basically triggered the entire leg down toward $30K. Classic liquidity grab. The kind of move that looks like strength for a second… until it absolutely isn’t.
🕵️♂️ Key Differences: Breakout vs Fakeout (Checklist)
🧠 What Causes Fakeouts in Crypto?
Honestly, fakeouts aren’t some kind of accident. They’re almost baked into how crypto markets work.
Part of it comes down to simple liquidity hunting. The market knows exactly where traders tend to place their stop losses, right above resistance or just below support. Price often spikes into those zones, triggers stops, fills larger orders for bigger players… and then reverses completely.
Another reason? A lack of real conviction. Sometimes, it’s mostly retail traders chasing a move. Price pokes above a key level, but there just isn’t enough momentum to sustain it. Without bigger buyers or sellers stepping in, the move collapses right back.
And let’s be honest. When everyone on Crypto Twitter is watching the exact same level, fakeouts become almost inevitable. The more obvious the setup, the more likely it gets front-run, faded, or manipulated.
Plus, a huge mistake? People ignore the higher timeframe context. A breakout on the 15-minute chart might feel exciting… but if the 1D or 4H is still clearly in a downtrend, that breakout is fighting against the bigger picture. No surprise it fails. Fakeouts happen because the market’s job is to make most people wrong, at least for a moment.
🧭 Final Thought
Breakouts and fakeouts are part of the same game: they involve both liquidity and psychology. The market rewards patience, context, and waiting for confirmation. Sometimes, missing the first candle can save you from being a liability to someone else. So, next time an asset “breaks out,” take a second look. Is it really moving with force? Or is it just another trap waiting to be sprung?
What’s the last fakeout that caught you off guard? Drop your story in the comments. Let’s compare lessons learned!
Understanding Elliott Wave Theory with BTC/USDIntroduction to Elliott Wave Theory:
Elliott Wave Theory is a popular method of technical analysis that seeks to predict the future price movement of financial markets. Developed by Ralph Nelson Elliott in the 1930s, the theory is based on the idea that market movements follow a repetitive pattern, driven by investor psychology.
At the core of Elliott’s theory is the idea that markets move in a 5-wave pattern in the direction of the trend, followed by a 3-wave corrective pattern. These waves can be seen on all timeframes and help traders identify potential entry and exit points in the market.
Key Concepts of Elliott Wave Theory:
1. Impulse Waves (The Trend)
2. These are the waves that move in the direction of the overall trend. They are labeled 1, 2, 3, 4, 5 and represent the price movement in the main direction of the market.
* Wave 1: The initial move up (or down in a bearish market). I like to mark up the first wave how I do my Fibs, from the point where price showed a major impulse.
* Wave 2: A correction of Wave 1 (it doesn’t go lower than the starting point of Wave 1).
* Wave 3: The longest and most powerful wave in the trend.
* Wave 4: A smaller correction in the direction of the trend.
* Wave 5: The final push in the direction of the trend, which can be shorter and weaker than Wave 3.
3. Corrective Waves (The Pullbacks)
4. After the five-wave impulse, the market enters a corrective phase, moving against the trend. This corrective phase is generally a 3-wave pattern, labeled A, B, C:
* Wave A: The initial correction, typically smaller than Wave 3.
* Wave B: A temporary move against the correction (it often confuses traders who think the trend has resumed).
* Wave C: The final move against the trend, usually the strongest and most aggressive.
How to Implement Elliott Wave on BTC/USD:
Let’s break down how you can apply the Elliott Wave Theory to BTC/USD using a simple example.
1. Identify the Trend
2. Start by identifying the current market trend for BTC/USD. Are we in an uptrend or downtrend? This will determine whether you’re looking for a 5-wave impulse up (bullish) or down (bearish).
3. Locate the Waves
4. Look for the five-wave structure in the trend direction. Once you identify a potential impulse move, label the waves accordingly:
* Wave 1: A new uptrend starts.
* Wave 2: A small pullback (usually less than the size of Wave 1).
* Wave 3: A significant surge in price, often the most volatile.
* Wave 4: A smaller pullback or consolidation.
* Wave 5: The final push higher, which might show signs of exhaustion.
5. Corrective Phase
6. After completing the 5-wave impulse, expect a corrective 3-wave pattern (A, B, C). These corrections typically last longer than expected and can often confuse traders.
* Wave A: Price starts to reverse.
* Wave B: A retracement that may confuse traders into thinking the trend is resuming.
* Wave C: A strong pullback that brings the price even lower.
7. Use Fibonacci Levels as confluence
8. One of the most powerful tools in Elliott Wave analysis is Fibonacci retracement levels. You can use these to predict potential levels where Wave 2 and Wave 4 could end, or where Wave C might complete the correction. Common retracement levels are 38.2%-50% for Wave 4, and 50-61.8% For Waves 2 and B but keep in mind, these wave can retrace up to 100% before the wave analysis becomes invalid. But ideally these points are where you look to make an entry.
Wave 2 Example:
This one hit the golden spot (0.5-0.618) perfectly and continued to push upward.
Wave B and C Example:
This example hit closer to the 0.786 level which is also a key level for retracement.
Wave 4 Example:
This one hit the golden spot (0.382-0.5) for Wave 4 perfectly before continue the bullish momentum.
I try to use the RED levels below (1.1 and 1.2) as my invalidation (Stop Loss) levels and the GREEN levels (-0.27 and -0.618) as my Take Profit levels. Depending on your goals you can also use Fib Levels 0.236 and 0 as partial Take Profit levels.
9. Confirm with Indicators
10. To validate your Elliott Wave counts, use other indicators like the RSI (Relative Strength Index), MACD, or Moving Averages. For example, a Wave 3 might occur when the RSI is above 50, indicating strength in the trend.
In this example you can see the RSI cross the 50 threshold and the 3rd Wave form.
Continuation after the Wave is complete:
Tips for Trading with Elliott Wave Theory:
* Stay Flexible: Elliott Wave Theory is not set in stone. If the market doesn’t follow the expected pattern, adjust your wave counts accordingly.
* Don’t Rely on One Timeframe: A 5-wave structure on one timeframe may be part of a larger wave pattern on a higher timeframe. Always analyze multiple timeframes.
* Wave Personality: Waves don’t always look the same as stated earlier. Wave 2 can retrace up to 100% of Wave 1 and Wave 4 should generally not overlap Wave 1 or this may invalidate the Wave structure.
* Risk Management: Always use proper risk management techniques. No theory is perfect, so make sure you have a stop-loss in place to manage your risk.
Conclusion: Using Elliott Wave Theory on BTC/USD:
The Elliott Wave Theory can be a powerful tool for analyzing and forecasting price movements. By identifying the 5-wave impulse and 3-wave corrective patterns, you can gain insights into potential market direction. Just remember to use it alongside other tools and indicators for confirmation, and don’t forget to manage your risk.
As you apply it to BTC/USD or any other asset, remember that the market doesn’t always follow the "ideal" patterns, and flexibility is key. Practice on different timeframes, refine your skills, and use the theory as a part of your overall trading strategy.
Final Thoughts:
If you're just starting, don't get discouraged if you miss a wave or two. Trading is a journey, and with patience and practice, you'll begin to spot these patterns more naturally. Whether you’re analyzing Bitcoin's price action or any other asset, Elliott Wave Theory can give you a deeper understanding of market psychology.
Good Luck and Happy Trading!
Using the New 2025 TradingView Screener to find Golden CrossesIn this video, I show you how to use the new TradingView 2025 screener to quickly find stocks forming a golden cross and how to add the 50 and 200 simple moving averages to your charts for clear visual confirmation. A golden cross happens when the 50 moving average crosses up through the 200 moving average. Many traders (both fundamental and technical) watch for this pattern as a sign that a stock (or even whole market) may be shifting from a downtrend to a new uptrend.
Using the TradingView Screener we can quickly find Golden crosses to help filter for potential momentum setups without having to scan hundreds of charts manually. They are not magic signals, but when combined with your own analysis, they can help you spot bigger picture trends that are gaining strength. I walk through step-by-step how to set up your screener to catch these crossovers and add them to your watchlist.
If you want to keep your trading process simple while still catching moves early, this is a practical tool worth adding to your workflow. I also show a few quick tips on how to clean up your filters to reduce the number of stocks you have to go through.
Hope you find this useful. Please like and follow if you do :)
Quantum Computing - Why BTC isn't the biggest worryYou’ve probably heard that quantum computing could break Bitcoin’s encryption—and that’s true. But here’s the thing: Bitcoin might not even be the biggest target.
The real risks? Financial systems, national security, healthcare, and even the internet itself. These areas rely on the same encryption methods that quantum computers could crack, and the fallout could be far worse than a Bitcoin hack.
Let’s break it down.
1️⃣ Financial Systems: A Global Crisis Waiting to Happen
Imagine if hackers could:
Drain bank accounts at will.
Manipulate stock markets.
Fake trillion-dollar transactions.
This isn’t just about stolen crypto—it’s about economic chaos. Banks, stock exchanges, and payment systems all depend on encryption. If quantum computers break it, we’re looking at a meltdown way bigger than Bitcoin’s $3 trillion market.
2️⃣ National Security & Internet Privacy: A Hacker’s Dream
Governments and militaries use encryption to:
Protect classified intelligence.
Secure communications between leaders.
Guard critical infrastructure (power grids, water supplies).
If quantum computers crack these codes, entire nations could be exposed to cyberwarfare. Your private data? At risk too—email, messaging, even your online banking could be decrypted years later.
3️⃣ Healthcare, Supply Chains & IoT: The Hidden Vulnerabilities
Medical records could be leaked, exposing sensitive health data.
Smart devices (like home security systems) could be hacked.
Supply chains might collapse if logistics networks are breached.
These systems weren’t built with quantum threats in mind—and upgrading them won’t be easy.
🔴 The Bigger Picture: A "Civilizational Upgrade"
Switching to quantum-resistant encryption is like rebuilding the internet’s foundation. It’s necessary, but messy. Some experts compare it to the Y2K bug—but way harder.
🔷 So, Is Bitcoin Safe?
Not entirely—about 25% of all Bitcoin could be stolen if quantum computers advance fast enough. But compared to the risks facing banks, governments, and hospitals? Bitcoin might be the least of our worries.
🔷 What’s Next?
Governments & companies are already working on fixes (like NIST’s post-quantum cryptography standards).
The transition will take years—and hackers might exploit weak spots along the way.
Staying informed is key. If you’re in tech, finance, or security, this affects you.
ℹ️ Want to Dive Deeper?
Deloitte’s take on quantum computing & Bitcoin
Forbes on quantum risks beyond crypto
🤷♂️ Bottom line?
Quantum computing is coming—and while Bitcoin has risks, the real danger lies in the systems we all depend on every day.
❔What do you think? Will we be ready in time? Let me know in the comments! 🚀
Why Traders Freeze: The Psychology Behind Not Cutting LossesFirst up: let’s address the elephant in the room. Loss aversion — that great human flaw. From the moment your ancient ancestor decided to poke a saber-toothed tiger to see what happens, the brain has been hard-coded to avoid pain at all costs.
Loss aversion is literally in your DNA — studies show people feel the sting of a loss twice as intensely as the pleasure of an equivalent gain.
When you see that trade slip into the red, your rational brain may say, “Cut it, the setup is invalid, live to trade another day.” But your emotional brain — the one still grunting in a cave — is screaming, “It might come back! Hold! HOOOLD!” So you sit, frozen.
🌱 Hope: The Most Expensive Four-Letter Word
Hope is the silent killer of trading accounts. You think you’re being patient as you decide to give the trade “room to breathe.”
But what you’re really doing is outsourcing your exit strategy to technical tools, news headlines, and anything that’s not your own choice, hoping something will rescue your losing position.
This is how tiny losses can turn into portfolio ruin. Just ask anyone who’s held a small-cap memecoin down 90% because the “team has potential.”
🧊 Analysis Paralysis: When the Chart Becomes a Maze
Another reason traders freeze? Overanalysis. One bad candle and suddenly you’re toggling between the 1-minute, 5-minute, and daily chart like you’re hacking into the Pentagon. And your trendlines? You’re probably drawing them wrong .
More data rarely leads to more decisive action. It just feeds your brain conflicting signals until you’re convinced you see a bounce that isn’t there. Meanwhile, the loss grows. And grows. And then you’re back to hope. Rinse, repeat.
😬 The Ego Monster: Admitting You’re Wrong
Here’s the harsh truth: cutting a loss means admitting you were wrong. For traders, whose entire identity can hinge on being “smart money,” that feels like public humiliation. The ego monster wants you to be right more than it wants you to be profitable.
So instead of taking the small L, you’ll cling to the trade because closing it out would force you to look in the mirror and say, “I was wrong and I need to do better.”
🏴☠️ From Risk Management to Revenge Trading
Once you’ve frozen long enough, you reach the next stage of the bad-losing cycle: revenge trading . Now you’re not just trying to recover your loss; you’re out to punish the market for “taking” your money.
Spoiler alert: the market doesn’t know you exist, and it certainly doesn’t care. Maybe this is the gambler’s mindset disguised as a “strategy?”
📉 Blame the Tools? Not So Fast
Some traders love to blame outside factors like the Economic calendar or their indicators when they freeze. “My RSI didn’t signal this! The MACD betrayed me!” Indicators are just tools — they don’t make decisions for you. You do.
Hiding behind tools means you refuse to take accountability. It’s a convenient excuse that can keep you stuck in the same losing habits. Better to master the one tool that matters: your discipline .
✂️ The Beauty of the Hard Stop
All hail the hard stop — the trader’s seatbelt. It’s not attractive, it’s mechanical, but it’s often the only thing standing between you and a potentially blown-up account.
The reason some traders can survive the market for decades isn’t because they’re never wrong — it’s because they’ve learned to make their stops non-negotiable.
A stop-loss is you telling your brain, “Hey, I’m not smarter than the market, so I’ll automate the decision before I get emotional.” It takes the agony out of cutting a loss because you’ve already decided on the outcome before your lizard brain can intervene.
⚖️ Small Losses Are the Cost of Doing Business
Want to feel better about cutting that loss? Think of it as your tuition fee. Every trader pays a certain cost to the market — it’s the cost of playing the game. No one gets every trade right. The pros just get better at losing small.
Those big-shot money spinners you look up to? They didn’t build their empire by never losing. They’re pros at getting out when they’re wrong. The difference between a pro and a blow-up isn’t the winning trade — it’s the ruthless discipline on the losing ones.
🧘♂️ Finding Comfort in Discomfort
There’s no magic trick to make loss-cutting feel good. It always stings. But you can train your brain to see a small loss as a win for your long-term survival. Write it down. Journal the trade . Log the emotion. Over time you’ll realize that the trades you exit early rarely haunt you.
🏁 Face the Fear, Keep the Account
And finally, freezing in front of a loss doesn’t protect you — it likely means you’ll pay more than you should. Next time your gut says, “Maybe it’ll come back…” ask yourself: “Do I want to be right, or do I want to trade another day?”
Your job is to trade well and stay in the game for as long as possible.
Your turn, traders : what’s your biggest “should’ve cut it sooner” horror story? Drop it below — we promise not to say we told you so.
Pine Screener - Powerful tool for building programmable screenerHello Everyone,
In this video, we have discussed on how to use pine screener utility of tradingview. We are making use of the indicator Divergence Screener for this demonstration and screen stocks undergoing bullish divergence.
In a nutshell, here are the steps:
🎯 Use Stock Screener to build watchlist of less than 1000 symbols
🎯 Add the indicator you want to use in the pine screener to your favorites.
🎯 Pine screener can be accessed from the tradingview screener menu or you can simply click on the link www.tradingview.com
🎯 Add the watchlist and indicator to the pine screener and adjust the timeframe and indicator settings
🎯 Select the criteria to be scanned and press scan
How to mark your charts Lightning fast!One of the things I didn't like was marking my charts. I would take so much time marking my charts and adding the prices on the side. My mentor showed me the fastest way. Just use the FIB tool and use "0" and "1". Now you can focus on other important things. I want to thank my mentor for showing me this. Good luck to everyone
Top fundamentals that will shape the S&P 500 this summer 2025The summer of 2025 is characterized by a combination of macroeconomic and microeconomic factors that will shape the trajectory of the US equity market. While the S&P 500 is trading close to its all-time highs and at a valuation comparable to that at the end of 2021, the strength of the upward momentum will depend on the conjunction of several key variables. Understanding these fundamentals is crucial to grasping the potential and risks awaiting investors over the coming months.
1) The trade war and economic diplomacy, the main source of uncertainty
The trade issue remains the most unpredictable at the start of the summer. The July 9 deadline for the conclusion or failure of tariff negotiations is crystallizing tensions between the United States and its main partners. The prospect of a new wave of tariffs could have a direct impact on production costs, inflation and business confidence. Trade diplomacy is thus the variable most likely to provoke volatility jolts and challenge positive earnings growth expectations. If trade agreements are signed, then this will help to sustain the S&P 500's uptrend.
2) US fiscal policy: the “One Big, Beautiful Bill”
The Trump administration's major tax bill is another hotspot. This piece of legislation calls for an extension of the tax cuts initiated in 2017 and a dramatic increase in the public debt ceiling, to the tune of $5,000 billion. While these measures potentially support consumption and private investment, their medium-term impact on public finances is uncertain. The real issue for the equity market is to assess whether these decisions will lead to a surge in long-term US bond yields. A slippage in US Treasury yields would increase corporate financing costs and undermine currently high valuation multiples. Conversely, if yields remain contained, the equity market's upward momentum could continue.
3) Inflation and the Fed's monetary policy: a delicate balance
The trajectory of inflation, in particular that of the PCE index, will be a major determinant. US inflation is currently slightly below the Fed's target. Several components, notably the services sector, which accounts for almost two-thirds of the PCE basket, are proving relatively stable. Inflationary risks are more likely to come from commodities, particularly if trade tensions reignite. Oil, which accounts for around 11% of the PCE basket, is currently showing no major warning signs, benefiting from a geopolitical calm. Real estate and healthcare are also showing reassuring indicators. Against this backdrop, the Federal Reserve is adopting a cautious stance: while several major Western central banks are moving towards a neutral rate, the Fed is stalling and conditioning its monetary pivot on visibility regarding tariffs and corporate behavior.
The timing of rate cuts is one of the biggest sticking points. According to recent signals, the first rate cut could take place as early as September. However, influential members of the FOMC, appointed by the Trump administration, are arguing for earlier easing. The political pressure is strong: Trump is calling for immediate cuts, but Chairman Powell remains in control of the agenda, taking care to preserve a consensus within the committee.
4) The job market and the likelihood of a recession
The US employment situation is an advanced barometer of the economic cycle. Weekly jobless claims and the aggregate unemployment rate are closely monitored. Historically, a significant rise in unemployment signals that the economic slowdown is already underway. For the time being, the labor market is proving resilient, but the slightest deterioration could alter investors' central scenario and reinforce recessionary expectations. This risk is one of the potential dampeners to the prevailing optimism, unless it were to accelerate the timetable for resuming the cut in the federal funds rate.
5) Second-quarter results and earnings outlook
The second-quarter earnings season is of particular importance. US companies must demonstrate their ability to deliver earnings growth in line with forecasts, even as valuation multiples remain stretched. Maintaining high price levels on the S&P 500 assumes robust earnings growth and confident guidance from management. Failing this, the risk of a correction would be high, especially as the market has already incorporated many positive factors. The weakness of the US dollar and the price of oil, as well as the current momentum in AI, could hold out some pleasant surprises for second-quarter results.
6) Geopolitics and oil, potential sources of volatility
Finally, global geopolitics is a second-order variable, but one that could suddenly become a priority. A rapid deterioration in the international situation, particularly in the Middle East or the China Sea, could affect trade flows and oil prices, fuelling renewed inflation and financial volatility.
Conclusion :
The summer of 2025 promises to be a period of strategic transition for the US equity market. Between trade diplomacy, fiscal policy, inflation, the trajectory of interest rates and earnings momentum, investors will have to deal with an accumulation of uncertain factors. If these uncertainties gradually dissipate, the uptrend could continue. Conversely, the combination of a geopolitical shock, a rebound in inflation and a political stalemate over the federal budget would have the potential to weaken the current rally.
DISCLAIMER:
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All investments carry a degree of risk. The risk of loss in trading or holding financial instruments can be substantial. The value of financial instruments, including but not limited to stocks, bonds, cryptocurrencies, and other assets, can fluctuate both upwards and downwards. There is a significant risk of financial loss when buying, selling, holding, staking, or investing in these instruments. SQBE makes no recommendations regarding any specific investment, transaction, or the use of any particular investment strategy.
CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. The vast majority of retail client accounts suffer capital losses when trading in CFDs. You should consider whether you understand how CFDs work and whether you can afford to take the high risk of losing your money.
Digital Assets are unregulated in most countries and consumer protection rules may not apply. As highly volatile speculative investments, Digital Assets are not suitable for investors without a high-risk tolerance. Make sure you understand each Digital Asset before you trade.
Cryptocurrencies are not considered legal tender in some jurisdictions and are subject to regulatory uncertainties.
The use of Internet-based systems can involve high risks, including, but not limited to, fraud, cyber-attacks, network and communication failures, as well as identity theft and phishing attacks related to crypto-assets.
Debugging Pine Script with log.info()log.info() is one of the most powerful tools in Pine Script that no one knows about. Whenever you code, you want to be able to debug, or find out why something isn’t working. The log.info() command will help you do that. Without it, creating more complex Pine Scripts becomes exponentially more difficult.
The first thing to note is that log.info() only displays strings. So, if you have a variable that is not a string, you must turn it into a string in order for log.info() to work. The way you do that is with the str.tostring() command. And remember, it's all lower case! You can throw in any numeric value (float, int, timestamp) into str.string() and it should work.
Next, in order to make your output intelligible, you may want to identify whatever value you are logging. For example, if an RSI value is 50, you don’t want a bunch of lines that just say “50”. You may want it to say “RSI = 50”.
To do that, you’ll have to use the concatenation operator. For example, if you have a variable called “rsi”, and its value is 50, then you would use the “+” concatenation symbol.
EXAMPLE 1
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
//@version=6
indicator("log.info()")
rsi = ta.rsi(close,14)
log.info(“RSI= ” + str.tostring(rsi))
Example Output =>
RSI= 50
Here, we use double quotes to create a string that contains the name of the variable, in this case “RSI = “, then we concatenate it with a stringified version of the variable, rsi.
Now that you know how to write a log, where do you view them? There isn’t a lot of documentation on it, and the link is not conveniently located.
Open up the “Pine Editor” tab at the bottom of any chart view, and you’ll see a “3 dot” button at the top right of the pane. Click that, and right above the “Help” menu item you’ll see “Pine logs”. Clicking that will open that to open a pane on the right of your browser - replacing whatever was in the right pane area before. This is where your log output will show up.
But, because you’re dealing with time series data, using the log.info() command without some type of condition will give you a fast moving stream of numbers that will be difficult to interpret. So, you may only want the output to show up once per bar, or only under specific conditions.
To have the output show up only after all computations have completed, you’ll need to use the barState.islast command. Remember, barState is camelCase, but islast is not!
EXAMPLE 2
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
//@version=6
indicator("log.info()")
rsi = ta.rsi(close,14)
if barState.islast
log.info("RSI=" + str.tostring(rsi))
plot(rsi)
However, this can be less than ideal, because you may want the value of the rsi variable on a particular bar, at a particular time, or under a specific chart condition. Let’s hit these one at a time.
In each of these cases, the built-in bar_index variable will come in handy. When debugging, I typically like to assign a variable “bix” to represent bar_index, and include it in the output.
So, if I want to see the rsi value when RSI crosses above 0.5, then I would have something like:
EXAMPLE 3
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
//@version=6
indicator("log.info()")
rsi = ta.rsi(close,14)
bix = bar_index
rsiCrossedOver = ta.crossover(rsi,0.5)
if rsiCrossedOver
log.info("bix=" + str.tostring(bix) + " - RSI=" + str.tostring(rsi))
plot(rsi)
Example Output =>
bix=19964 - RSI=51.8449459867
bix=19972 - RSI=50.0975830828
bix=19983 - RSI=53.3529808079
bix=19985 - RSI=53.1595745146
bix=19999 - RSI=66.6466337654
bix=20001 - RSI=52.2191767466
Here, we see that the output only appears when the condition is met.
A useful thing to know is that if you want to limit the number of decimal places, then you would use the command str.tostring(rsi,”#.##”), which tells the interpreter that the format of the number should only be 2 decimal places. Or you could round the rsi variable with a command like rsi2 = math.round(rsi*100)/100 . In either case you’re output would look like:
bix=19964 - RSI=51.84
bix=19972 - RSI=50.1
bix=19983 - RSI=53.35
bix=19985 - RSI=53.16
bix=19999 - RSI=66.65
bix=20001 - RSI=52.22
This would decrease the amount of memory that’s being used to display your variable’s values, which can become a limitation for the log.info() command. It only allows 4096 characters per line, so when you get to trying to output arrays (which is another cool feature), you’ll have to keep that in mind.
Another thing to note is that log output is always preceded by a timestamp, but for the sake of brevity, I’m not including those in the output examples.
If you wanted to only output a value after the chart was fully loaded, that’s when barState.islast command comes in. Under this condition, only one line of output is created per tick update — AFTER the chart has finished loading. For example, if you only want to see what the the current bar_index and rsi values are, without filling up your log window with everything that happens before, then you could use the following code:
EXAMPLE 4
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
//@version=6
indicator("log.info()")
rsi = ta.rsi(close,14)
bix = bar_index
if barstate.islast
log.info("bix=" + str.tostring(bix) + " - RSI=" + str.tostring(rsi))
Example Output =>
bix=20203 - RSI=53.1103309071
This value would keep updating after every new bar tick.
The log.info() command is a huge help in creating new scripts, however, it does have its limitations. As mentioned earlier, only 4096 characters are allowed per line. So, although you can use log.info() to output arrays, you have to be aware of how many characters that array will use.
The following code DOES NOT WORK! And, the only way you can find out why will be the red exclamation point next to the name of the indicator. That, and nothing will show up on the chart, or in the logs.
// CODE DOESN’T WORK
//@version=6
indicator("MW - log.info()")
var array rsi_arr = array.new()
rsi = ta.rsi(close,14)
bix = bar_index
rsiCrossedOver = ta.crossover(rsi,50)
if rsiCrossedOver
array.push(rsi_arr, rsi)
if barstate.islast
log.info("rsi_arr:" + str.tostring(rsi_arr))
log.info("bix=" + str.tostring(bix) + " - RSI=" + str.tostring(rsi))
plot(rsi)
// No code errors, but will not compile because too much is being written to the logs.
However, after putting some time restrictions in with the i_startTime and i_endTime user input variables, and creating a dateFilter variable to use in the conditions, I can limit the size of the final array. So, the following code does work.
EXAMPLE 5
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
// CODE DOES WORK
//@version=6
indicator("MW - log.info()")
i_startTime = input.time(title="Start", defval=timestamp("01 Jan 2025 13:30 +0000"))
i_endTime = input.time(title="End", defval=timestamp("1 Jan 2099 19:30 +0000"))
var array rsi_arr = array.new()
dateFilter = time >= i_startTime and time <= i_endTime
rsi = ta.rsi(close,14)
bix = bar_index
rsiCrossedOver = ta.crossover(rsi,50) and dateFilter // <== The dateFilter condition keeps the array from getting too big
if rsiCrossedOver
array.push(rsi_arr, rsi)
if barstate.islast
log.info("rsi_arr:" + str.tostring(rsi_arr))
log.info("bix=" + str.tostring(bix) + " - RSI=" + str.tostring(rsi))
plot(rsi)
Example Output =>
rsi_arr:
bix=20210 - RSI=56.9030578034
Of course, if you restrict the decimal places by using the rounding the rsi value with something like rsiRounded = math.round(rsi * 100) / 100 , then you can further reduce the size of your array. In this case the output may look something like:
Example Output =>
rsi_arr:
bix=20210 - RSI=55.6947486019
This will give your code a little breathing room.
In a nutshell, I was coding for over a year trying to debug by pushing output to labels, tables, and using libraries that cluttered up my code. Once I was able to debug with log.info() it was a game changer. I was able to start building much more advanced scripts. Hopefully, this will help you on your journey as well.
Biggest What-Ifs in Stocks (or How Investors Live with Regret)You think you’ve got regrets because you didn’t buy Nvidia NASDAQ:NVDA at $50 or sold Tesla NASDAQ:TSLA at $420? Join the club.
The stock market’s history is littered with “almost” trades, missed deals, and facepalm-worthy decisions that turned out to be trillion-dollar pivots.
This is the hall of fame for what didn’t happen — and what those stories teach us about how markets (and human nature) actually work. Call it a free masterclass in greed, fear, FOMO, and the priceless value of just sitting tight sometimes.
Take it easy today, grab your cold brew and read up on the biggest what-ifs in stock market history.
🍏 Ronald Wayne: The Patron Saint of “Oops”
Our first inductee needs no introduction. But let’s do it anyway. Ronald Wayne, the third Apple NASDAQ:AAPL co-founder, sold his 10% stake back in 1976 for the princely sum of $800. He wanted to avoid any debts if things went south. Sensible, right?
That $800 stake today would be worth more than $300 billion. That’s more than the GDP of Finland — and about 1.2 million new iPhones every single day for pretty much the rest of his life. Wayne has since said he doesn’t regret it. Which is probably the biggest lie he’s ever told.
🍿 Blockbuster’s Netflix “Pass”
In 2000, Netflix NASDAQ:NFLX was a DVD-by-mail startup with spotty profits. Reed Hastings, Netflix’s founder, knocked on Blockbuster’s door and offered to sell the whole thing for $50 million — about the price of a Hollywood production.
Blockbuster’s execs reportedly laughed him out of the room. “People will always want to drive to a store to rent a VHS,” they said, basically. Fast forward: Netflix is worth around $560 billion, and Blockbuster is down to one store that’s mostly a selfie museum for millennials who miss rewinding tapes.
💻 Microsoft’s Lifeline That Saved Apple
In 1997, Apple NASDAQ:AAPL was broke. Steve Jobs had returned but was days away from the company flat-lining for good. Enter Bill Gates.
Microsoft NASDAQ:MSFT wrote Apple a $150 million check, partly to keep antitrust regulators off its back. Jobs even appeared on stage with Gates beaming in on a giant screen like Big Brother — a moment that made every Apple fan cringe.
But that deal saved Apple’s hide. The iMac was born. The iPod followed. Then the iPhone. That $150 million is now a rounding error on Apple’s $3 trillion valuation. Sometimes your greatest rival is also your best frenemy.
🔍 Google: The $750K “Meh”
Before “Google it” became a verb, Larry Page and Sergey Brin tried to sell their little search engine to Excite — the Yahoo-lite portal that dominated the ‘90s web. The price? $750,000.
Excite’s CEO said search “wasn’t that important” — one of the worst calls in tech history. Today, Alphabet NASDAQ:GOOGL is worth over $2.1 trillion and always flashing bright on the Stock Heatmap , and Excite is a footnote in a forgotten Web 1.0 graveyard.
The lesson? Never dismiss a side project just because it doesn’t fit the spreadsheet.
💸 Masayoshi Son’s $200 Billion Slip
SoftBank’s Masayoshi Son is known for his giant, risky bets . And in 2017, he made a pretty good one: his Vision Fund scooped up a 5% chunk of Nvidia stock worth about $4 billion. He called GPUs the backbone of the AI revolution. He was right.
But by 2019, SoftBank was under pressure to tidy up its books. So Son sold the whole position for a tidy short-term profit. That stake today would be worth nearly $200 billion, given Nvidia’s rocket-fuel AI rally .
“We can cry together,” CEO Jensen Huang told Masa Son at an AI Summit in Tokyo last year. Early doesn’t always mean patient. And being “kind of right” can be the most painful lesson of all.
📊 Berkshire Hathaway: A Textile Mill’s Rebirth
Think of Berkshire Hathaway NYSE:BRK.A now — a $1 trillion behemoth. Insurance, utilities, railroads, huge piles of Apple shares . But back when Warren Buffett bought it, Berkshire was a dying textile business in New England.
Buffett only bought control because he was annoyed at the CEO’s lowball tender offer. It turned into his permanent holding company. The textile side eventually went extinct — but the insurance side became the cash-printing machine Buffett used to buy everything else.
Sometimes your best trade starts with pure pettiness.
🚀 Tesla: The Short Sellers’ Pain Cave
Here’s a more recent tale. Tesla was not long ago the most shorted stock on Earth. Everyone from hedge funds to your uncle at Thanksgiving was betting on Elon’s dream to fail.
Every now and then, the short-sellers get slapped with billions of dollars in losses, because the stock shoots up out of nowhere. The most recent example? November 12, when those naysayers nursed $7 billion in wiped out cash . Bears have been torched so many times, they might as well switch sides and sell Tesla hoodies instead.
🌌 Yahoo’s Double Miss: Google and Facebook
If you think blowing one chance is bad, try blowing two. Yahoo turned down the chance to buy Google for less than a million bucks. Then years later, they offered $1 billion for Facebook (now META NASDAQ:META ) — but bungled the negotiations and tried to lower the price. Zuck said “nope.”
But back to Google, because the story didn’t end there. In 2002, Yahoo said it wanted to buy Google for $3 billion. Brin and Page said $5 billion and Yahoo said no. Then Microsoft was ready to pay $40 billion to acquire Yahoo in 2008. But Yahoo said no.
Today, Google, Microsoft, and Meta are trillion-dollar titans. Yahoo? Sold itself for $4.5 billion, mostly for its patents, in 2016 to Verizon. Talk about slipping on the same banana peel more than once.
🧃 Apple: The Splits that Keep Giving
Want a reason to love boring old “buy and hold”? Apple NASDAQ:AAPL has split its stock five times since its 1980 IPO. If you’d bought 100 shares back then, you’d now have over 56,000 shares, plus mountains of dividends.
Next time you want to swing trade every squiggle, remember: sometimes the slowest route is the sweetest.
📝 Regret: The Only Universal Asset Class
Every trader has a “coulda, shoulda, woulda.” It’s the cost of doing business in a market that only makes sense in hindsight. Even the pros — billionaires, boards, hedge funds — have stories that make yours look tame.
Ronald Wayne reminds you that selling too soon can cost you your own island. Masayoshi Son proves being right but impatient is still being wrong. Yahoo shows that “almost” is worth exactly zero on a balance sheet.
What these stories prove is that the market’s biggest edge isn’t necessarily timing, genius, or inside scoops — it’s discipline, resilience, and sometimes a stubborn refusal to touch the sell button.
🤗 Bonus Story: Ballmer Regrets Nothing
But not every story has to be a regret story. Just look at Steve Ballmer, Microsoft ‘s former CEO. Since the early 2000s, he’s been holding his 4% stake in the software maker and that’s now worth more than $130 billion. No regrets found.
👉 What’s Your “One That Got Away”?
Now your turn : What’s your personal what-if story? Which ticker haunts you in your sleep? Drop your best missed trade or worst sell in the comments — we promise to laugh with you, not at you. Probably. Stay sharp. Stay patient!
Middle East War Whispers: Is Bitcoin About to Crash?The scent of conflict is once again in the air over the Middle East. Tensions are rising, and traders are starting to worry.
If war erupts once more in the region, will Bitcoin and the crypto market survive? Or should we prepare for a heavy drop?
In this analysis, we’ll explore realistic scenarios and tools that experienced traders use to protect themselves in moments like these.
Hello✌
Spend 3 minutes ⏰ reading this educational material.
🎯 Analytical Insight on Official Trump:
Official Trump continues to exhibit high sensitivity to political narratives and has recently entered a multi-leg correction phase amid escalating Middle East tensions 🌍. Based on current price structure and sentiment flow, a potential drawdown of approximately 30% appears likely, with a key downside target projected near the $6 region 📉.
Now , let's dive into the educational section,
📌 How Markets Have Reacted to Geopolitical Tension
Historically, during major geopolitical flare-ups, risk markets like crypto have shown heightened sensitivity. What matters most isn’t the exact nature of the conflict — it’s how the market interprets the situation. Price doesn’t move on truth; it moves on perception.
🔍 TradingView Tools to Navigate Crisis and Spot Potential Sell-Offs 📊
When fear dominates the market and uncertainty clouds every candle, TradingView’s built-in tools become essential for staying ahead. Let’s explore the most practical ones for moments like this:
Market Sentiment Indicators
Tools like the Crypto Fear & Greed Index combined with higher time-frame volume analysis can help you track the mood swings that drive market volatility.
Layered Watchlists
Create watchlists that compare major projects with volatile meme coins or micro-caps. Early exits often show up as disproportionate drops in smaller assets before the big ones move.
Smart Alerts Based on Price Behavior
Set up alerts not just for price levels, but for candle closes, trendline breaks, and sudden volume shifts. These help you act swiftly, without letting fear control you.
Cross-Market Correlation Tracking
Use TradingView’s Compare function to monitor Bitcoin’s correlation with assets like gold, oil, or the dollar index. Shifts in capital flow toward safe havens may signal a crypto downturn.
Heatmaps for Crowd Behavior
Heatmaps let you see real-time buying and selling intensity. During panic phases, expanding red zones on the map could indicate larger market fear and potential liquidation zones.
🎯 What Should You Do? Scenarios and Strategic Responses
When the headlines are hot but the charts unclear, neither blind holding nor panic selling helps. Let’s break down potential paths:
Scenario One: Sudden and Escalating Conflict
A quick escalation may trigger immediate sell pressure. Watch for key levels and volume patterns to protect or hedge open positions.
Scenario Two: Prolonged News-Driven Tension
This usually creates choppy, range-bound price action. Combining momentum indicators like RSI with moving averages can help filter out fake-outs.
Scenario Three: The Dangerous Silence
A flat, quiet market can hide a ticking bomb. Underlying sell pressure might build unnoticed. Combining macro news with multi-timeframe analysis is key here.
🧠 Psychology of Fear in Unstable Times
In unstable markets, emotion drives action. When fear spreads faster than facts, many traders get caught off guard. Relying solely on what your eyes see in price action can mislead you. Instead, look at alerts, volume shifts, sentiment data, and crowd reactions.
⛑️ Final Tip for Traders
During crisis rumors and uncertainty, the worst decisions often come from rushing or overreacting. If you don’t have a clear plan, stay out. Use the tools available, prepare for multiple outcomes, and remember — your capital is your power. Don’t gamble it on noise.
🧾 Final Thoughts
The market stands at a psychological and strategic crossroad. With Middle East tensions rising again, crypto traders must prepare, not panic. Use the depth of TradingView tools, plan for different outcomes, and react with logic — not fear.
In times of crisis, survival comes before profit.
✨ Need a little love!
We put so much love and time into bringing you useful content & your support truly keeps us going. don’t be shy—drop a comment below. We’d love to hear from you! 💛
Big thanks, Mad Whale 🐋
📜Please remember to do your own research before making any investment decisions. Also, don’t forget to check the disclaimer at the bottom of each post for more details.
How to Trade Double Tops & Bottoms in TradingViewLearn how to identify, validate, and trade double top and double bottom reversal patterns using TradingView's charting tools in this comprehensive tutorial from Optimus Futures. Understanding these classic chart formations can help you spot potential trend reversals and capitalize on contrarian trading opportunities in the futures markets.
What You'll Learn:
• Understanding contrarian vs. continuation trading strategies and when to use each approach
• The psychology behind buying low and selling high through reversal pattern trading
• How to identify double top and double bottom formations on any timeframe
• Key characteristics of valid double tops and bottoms, including volume confirmation
• Using TradingView's XABCD pattern tool to validate potential double top/bottom setups
• Real-world example analysis using crude oil futures charts
• Risk management techniques for trading reversal patterns
• How to calculate appropriate entry points, stop losses, and profit targets
• Setting up 1:1 risk-reward ratios for mathematical trading edge
• Understanding win rate requirements for profitable pattern trading
• How double bottom patterns work as the inverse of double top formations
This tutorial may benefit futures traders, swing traders, and technical analysts interested in contrarian trading strategies and reversal pattern recognition. The concepts covered could help you identify potential turning points in market trends and develop systematic approaches to trading these classic chart formations.
Visit Optimus Futures to learn more about trading futures with TradingView: optimusfutures.com/Platforms/TradingView.php
Disclaimer:
There is a substantial risk of loss in futures trading. Past performance is not indicative of future results. Please trade only with risk capital. We are not responsible for any third-party links, comments, or content shared on TradingView. Any opinions, links, or messages posted by users on TradingView do not represent our views or recommendations. Please exercise your own judgment and due diligence when engaging with any external content or user commentary.
This video represents the opinion of Optimus Futures and is intended for educational purposes only. Chart interpretations are presented solely to illustrate objective technical concepts and should not be viewed as predictive of future market behavior. In our opinion, charts are analytical tools—not forecasting instruments. Market conditions are constantly evolving, and all trading decisions should be made independently, with careful consideration of individual risk tolerance and financial objectives.
FX quarter end : a high-probability recurring patternAs we approach the end of June, a well-known phenomenon among FX traders is once again coming into focus: when currencies have diverged significantly over the course of a month or quarter, we often see a technical correction into the final trading session, with partial pullbacks in the pairs that had previously moved the most.
This end-of-month or quarter pattern is not random. It is the predictable result of recurring institutional flows. Recently, the US dollar has notably weakened against most major currencies. As a result, we could anticipate a modest bounce in the dollar to close out the month and start the new week, as various participants are likely to adjust their positions accordingly.
Performance of FX futures contracts from Sunday, June 1 to Friday, June 27:
Swiss Franc +3.71%
Euro +3.61%
British Pound +1.95%
New Zealand Dollar +1.58%
Australian Dollar +1.50%
Canadian Dollar +0.67%
Japanese Yen +0.16%
Performance of FX futures contracts from Tuesday, April 1 to Friday, June 27:
Swiss Franc +10.73%
Euro +8.40%
New Zealand Dollar +6.90%
British Pound +6.26%
Canadian Dollar +5.23%
Australian Dollar +4.80%
Japanese Yen +3.68%
These figures illustrate a broad-based decline in the dollar during June and over the entire second quarter. Historically, such imbalances open the door to late-stage adjustments, with currencies that have risen sharply often seeing modest technical pullbacks. This is a setup closely monitored by FX traders, who view it as a high-probability opportunity based on a pattern that is rare, but remarkably consistent.
FX rebalancing: mechanics and market players
At the heart of these adjustments lies one key concept: rebalancing. This is the process by which institutional players, pension funds, insurers, central banks, passive managers, bond funds, corporates adjust their FX exposures to stay in line with the targets defined in their mandates.
Every month, the value of their assets (equities, bonds, alternatives) and currency holdings fluctuate. If a currency appreciates sharply, its weight in the portfolio may become too high. Conversely, if a currency weakens, exposure might fall below target. Rebalancing involves buying or selling FX to return to those target allocations.
This process is recurring, predictable, and usually concentrated in a narrow window, the final hours of the trading month, just before the London 4pm fix. Quarter-ends tend to be even more pronounced, as many investors revisit long-term strategic allocations at that time.
Many of these adjustments are driven by systematic models using fixed thresholds, which adds to the consistency and timing of these flows.
Ideal setup: low volatility, high impact
June 2025 ends in a particularly calm environment: equity markets are stable or even rising, and the VIX is trading near its yearly lows, signs of a quiet and balanced market that favors more technical trading. This context is favorable for strategies aiming to take advantage of rebalancing effects, as in the absence of new announcements or unexpected events, these adjustments are likely to have a tangible impact on prices.
Conversely, in a more volatile market environment, such adjustments could be drowned out by larger flows (such as a flight to quality), thus having a reduced or even negligible impact.
FX options: another layer of flows
Another important factor on Monday, June 30: a large number of FX options expire at 10am New York (3pm London). These expiries cover several major pairs, with significant notional amounts concentrated near current spot levels.
According to what is currently being whispered on trading desk chat rooms, we expect the following large expiries:
EUR/USD: €3.0bn at 1.1650 (below spot)
USD/JPY: $1.6bn at 145.50 (above spot)
USD/CHF: $1.8bn at 0.8000 (above spot)
GBP/USD: £1.0bn at 1.3600 (below spot)
AUD/USD: A$1.1bn at 0.6425 (below spot)
When spot approaches these strikes, option holders or sellers may intervene to "pin" prices, based on their delta exposure. This behavior can amplify technical price movements in the hours before expiration.
When these heavy expirations align with month/quarter end rebalancing flows in a quiet, low-volatility market, it creates a strong potential cocktail for tactical moves, conducive to a dollar rebound into the fix.
How to trade the pattern effectively
Here’s a simplified roadmap to navigate this recurring pattern:
Identify monthly or quarterly extremes: look for the currencies that gained or lost the most over the period;
Assess the market environment: a low VIX, no major data or central bank events, meaningful trends, and significant options expiries are ideal conditions;
Use liquid and transparent instruments: Sep 2025 FX futures (standard, e-mini or micro) are currently the most suitable products for active positioning
Set realistic expectations: aim for a 0.5% to 1.0% pullback, not a full-blown trend reversal
Manage risk properly: as with any strategy, always use a stop-loss. This is quantitative trading, not fortune-telling. If the USD continues to weaken despite the setup, be ready to exit swiftly.
In short...
Quarter/month end FX rebalancing is one of the few market events where anticipated institutional flows can create repeatable, high-probability trading opportunities. These flows stem from real portfolio needs and systematic re-hedging, and are often amplified by option expiries and technical positioning.
This setup provides a great educational case study for any trader seeking to better understand hidden FX dynamics. There’s no secret indicator or crystal ball here, just a solid grasp of structural flows and timing.
From a personal standpoint, after over 20 years trading currencies, this strategy remains one of my favorites: simple, effective, and highly instructive. I encourage you to study it closely, and observe its behavior during upcoming month-end windows.
---
When charting futures, the data provided could be delayed. Traders working with the ticker symbols discussed in this idea may prefer to use CME Group real-time data plan on TradingView: tradingview.com/cme/ .
This consideration is particularly important for shorter-term traders, whereas it may be less critical for those focused on longer-term trading strategies.
General Disclaimer:
The trade ideas presented herein are solely for illustrative purposes forming a part of a case study intended to demonstrate key principles in risk management within the context of the specific market scenarios discussed. These ideas are not to be interpreted as investment recommendations or financial advice. They do not endorse or promote any specific trading strategies, financial products, or services. The information provided is based on data believed to be reliable; however, its accuracy or completeness cannot be guaranteed. Trading in financial markets involves risks, including the potential loss of principal. Each individual should conduct their own research and consult with professional financial advisors before making any investment decisions. The author or publisher of this content bears no responsibility for any actions taken based on the information provided or for any resultant financial or other losses.
Anatomy of a Breakout: How to Spot It Before It Fakes You OutFew things in trading are as appealing as a breakout. The chart tightens, volume starts to stir, headlines align, your alerts start going off , and suddenly — boom! Price explodes above resistance. Your adrenaline spikes and you pop open that long.
But just as often, that breakout turns out to be nothing more than an expensive head fake. Price stalls. Sellers swoop in. Your stop gets clipped. And now you’re sitting there, blinking at your screen, “Welp… that was quick.”
Welcome to the bittersweet world of breakouts — where opportunity and deception dance like partners at a high-stakes poker table.
📢 What Is a Breakout, Really?
Let’s get the basics out of the way: A breakout happens when price pushes beyond a key support or resistance level that’s been holding for a while.
That level could be a previous high, a consolidation range, a trendline, or a psychological number that traders obsess over because humans love round numbers (did someone say Bitcoin BITSTAMP:BTCUSD at $120,000 ?).
The logic is simple: Once price clears a well-watched level, trapped shorts have to cover, new longs pile in, and momentum feeds on itself. That’s the dream scenario.
But markets aren’t always that generous. For every clean breakout, there are a few fakeouts lurking — luring in overeager traders with the promise of easy money before slamming the door shut.
⚠️ Why Breakouts May Fail
If breakouts were easy, we’d all be rich. The problem is that breakouts attract a special kind of crowd: late-to-the-party momentum chasers, breakout algorithm bots, and retail traders who read one blog post about technical analysis.
The moment price nudges above resistance, FOMO kicks in. Volume surges. But if the move isn’t backed by genuine institutional buying (you need lots of billions to move the needle nowadays), it quickly becomes what seasoned traders call a “liquidity vacuum” — thin air where the only participants are you, a few equally optimistic Reddit threads, and market makers more than happy to take the other side.
Sometimes breakouts fail because:
The move lacked volume confirmation.
Macro headlines shifted mid-breakout.
A key level was front-run, and the real buyers have already taken profit.
It was a deliberate trap set by larger players to hunt stops before reversing.
Or — more often — the market just needed an excuse to shake out weak hands before resuming the actual move later.
🍸 Volume: The Truth Serum
Let’s be very clear: Breakouts without volume are like dating profiles without photos — you should be suspicious.
When real breakouts occur, you’ll usually see strong accompanying volume. That’s your proof that big players — funds, institutions, serious money — are committing to the move. No volume? Maybe the summer vibes are already here .
Smart traders wait for confirmation:
Is volume above average relative to recent sessions?
Is price holding above the breakout level after the initial pop?
Are follow-through candles printing convincingly?
Are we seeing continuation across related sectors or instruments?
Without these signs, that breakout candle may just be a cruel joke.
🤯 Breakout Psychology
Breakouts prey on two of the most dangerous emotions in trading: greed and urgency. The market whispers, “If you don’t get in now, you’ll miss it.”
This is where breakout psychology becomes more dangerous than the chart itself. Once a breakout happens, most traders are no longer analyzing — they’re reacting. They buy late, set tight stops below the breakout level, and become easy prey for stop-hunting algorithms.
✨ Types of Breakouts
Not all breakouts are created equal. Here’s the lineup you should be watching for:
Clean Breakouts:
The rarest and most beautiful. Strong move, high volume, sustained momentum. You’ll know it when you see it — or after you’ve hesitated and missed it.
Fakeouts (a.k.a. False Breakouts):
Price nudges just past resistance, triggers breakout orders, then swiftly reverses. Designed to shake out breakout traders before resuming the original trend.
Break-and-Retest Setups:
Often the highest-probability trades. Price breaks out, then pulls back to retest the former resistance (now support). If buyers defend this retest, you’ve got confirmation.
News-Driven Breakouts:
Triggered by earnings, economic data, or political events. Volatile, fast, and often unsustainable unless backed by real fundamental shifts.
📈 The “Pre-Breakout Tell”: Reading the Tape
Good breakout traders aren’t just watching levels — they’re watching how price behaves near those levels in advance.
Tight consolidation? Lower volatility into resistance? Declining volume as price grinds higher? That often signals an impending breakout as supply dries up.
Conversely, choppy action with large wicks and erratic volume often signals indecision — ripe conditions for failed breakouts and fakeouts.
Tape-reading matters. The cleaner the structure before the breakout, the better your odds.
💰 Breakout Traders Need Thick Skin
Even with perfect analysis, breakout trading requires accepting that many will fail. That’s the game. Your job isn’t to nail every breakout — it’s to size your positions properly , keep losses small when faked out, and let the clean breakouts run when you catch one.
Stop-loss discipline is everything. Breakouts are binary events: you’re either right quickly, or you’re cutting the trade quickly. There’s no room for “maybe it’ll come back.”
The most painful breakouts are the ones that fake out, stop you, then continue in your original direction. Every breakout trader has lived that nightmare. Accept it. Build it into your risk plan.
👉 Takeaway: Prepare the Setup, Anticipate the Fakeout
Breakouts will always be part of every trader’s playbook. But they require discipline, experience, and an iron stomach. The market loves to tempt you with early signals — your job is to separate signal from noise.
Pro tip: Start your day by checking the Economic calendar and browsing the latest news — staying informed (and witty) helps you build better context for smarter decisions.
So before you chase that next breakout candle, ask yourself:
Is volume there?
Is the broader market supportive?
Have I managed my risk before clicking buy?
Because in trading, the only thing worse than missing a breakout… is getting faked out and blowing up your account chasing it.
Now over to you : Are you a breakout trader or a fakeout victim? Share your best (or worst) breakout stories — we’ve all been there.
How to Spot Head & Shoulders Patterns in TradingViewDiscover how to identify and validate Head & Shoulders patterns using TradingView's built-in pattern recognition tools in this detailed tutorial from Optimus Futures. Chart patterns are essential tools for many futures traders, and the Head & Shoulders formation is among the most recognized reversal patterns in technical analysis.
What You'll Learn:
• Understanding the Head & Shoulders pattern: a key reversal formation in technical analysis
• How to access and use TradingView's pattern drawing tools and objects
• Step-by-step process for identifying potential Head & Shoulders formations on any timeframe
• Techniques for spotting the "head" by locating the highest high or lowest low pivot points
• How to identify matching "shoulders" on either side of the head formation
• Validating your pattern identification using TradingView's drawing tools
• Real-world example using crude oil futures on an hourly chart from October 2024
• Key characteristics that distinguish bearish Head & Shoulders reversal patterns
• Best practices for using pivot points and swing analysis in pattern recognition
This tutorial may benefit futures traders, swing traders, and technical analysts who want to improve their chart pattern recognition skills in TradingView. The techniques demonstrated could help you identify potential reversal opportunities and make more informed trading decisions when these classic formations appear on your charts.
Keywords: Head and Shoulders pattern, TradingView tutorial, chart patterns, technical analysis, reversal patterns, futures trading, pivot points, swing analysis, pattern recognition, trading education
Visit Optimus Futures to learn more about trading futures with TradingView:
optimusfutures.com
Disclaimer:
There is a substantial risk of loss in futures trading. Past performance is not indicative of future results. Please trade only with risk capital. We are not responsible for any third-party links, comments, or content shared on TradingView. Any opinions, links, or messages posted by users on TradingView do not represent our views or recommendations. Please exercise your own judgment and due diligence when engaging with any external content or user commentary.
This video represents the opinion of Optimus Futures and is intended for educational purposes only. Chart interpretations are presented solely to illustrate objective technical concepts and should not be viewed as predictive of future market behavior. In our opinion, charts are analytical tools—not forecasting instruments. Market conditions are constantly evolving, and all trading decisions should be made independently, with careful consideration of individual risk tolerance and financial objectives.
A Step-by-step Guide to One of the Chart Analysis MethodHello Friends,
Welcome to RK_Chaarts,
Today we're going to learn step-by-step guide to one of the chart analysis Method by analyzing a chart of " Varun Beverages Ltd. (VBL) " to identify a trend change opportunity.(Educational Post).
Let's get started!
Applying Elliott Wave Theory
First, we can see that the bottom formed in March 2025 is likely a Wave ((4)) in Black as a bottom, marked as such on the chart. From there, Wave 5 should move upwards. Looking at the daily timeframe, we can see that price gone up in five sub-divisions of Wave (1) in Blue of Wave ((5)) in Black have completed, marked as Red 1-2-3-4-5, that means blue intermediate Wave (1) has ended, and Wave (2) has begun, which is unfolded in corrective nature marked as WXY in Red of Wave (2) in Blue.
According to the wave principle, Wave (2) should not retrace more than 100% of Wave (1), which started from the 419.65 bottom. Therefore, 419.65 becomes our invalidation level. If the price moves below this level, it would invalidate our Wave (2) principle.
Assuming our wave counts are correct, the upward movement is in the five sub-divisions, and the downward movement is in the three sub-divisions. Definitely, the conviction is increasing that we have correctly identified Waves (1) and (2). Shown in chart image below
Tweezers at Bottom
Now, we can see that Wave 2 has retraced more than 70% and has formed a Tweezer candlestick pattern at the bottom. A bearish candle was followed by a bullish candle, both with a Tweezer-like shape, with the second candle being green. This could indicate a potential reversal. Moreover, the latest candle has also taken out the high of the previous two candles, showing follow-through. The price has also shown follow-through on the upside after that. So, this can be considered as the first sign that Wave 2 might be ending, marked by a significant Tweezer pattern at the bottom with a follow-through candle. Shown in chart image below
Significant Breakout Pending Yet
Secondly, from the top where Wave 1 ended, we've been considering the decline from around 560.50 as a resistance. We drew a resistance trend line, and if the price breaks out above it, we can say that the resistance trend line has been broken, indicating a breakout above the last fall's trend line, Which is not Broken yet. Shown in chart image below
Dow Theory
The Dow Theory states that when the price moves up, it forms a Higher High, Higher Low pattern, and when it moves down, it forms a Lower High, Lower Low pattern. Somehow, the Dow Theory also needs to change, as the last swing was forming a Lower High, Lower Low pattern. The last swing high was at 479, which we marked with a green arrow. If the price crosses above it, we can say that the price is now forming a Higher High pattern. This indicates that the Dow Theory is changing from a falling trend to a rising trend. Shown in chart image below
Stop Loss
Once the Dow Theory also changes, we can use the last swing low at 446.15 as our stop loss. However, this stop loss will only be valid after the Dow Theory changes; otherwise, the invalidation level will remain at 419. Shown in chart image below
Projected Target of Wave (3)
So, friends, we've applied the Elliott Wave principle, and there's been a significant retracement, all within the valid range, without violating any rules or triggering invalidation. There's limited room left on the downside, and then we have the Tweezer candlestick pattern, which is a significant sign. We're expecting a reversal from there, and the price has followed up with an upward move.
What's left now is the breakout above the resistance trend line and a change in the Dow Theory. Once these two conditions are confirmed, all parameters will match, and we can add a position to our portfolio using the last swing low as our stop loss, instead of the invalidation level.
This is how chart analysis is done for investment purposes. We've seen many signs in our favor, and yet we still use a stop loss to prevent significant losses in case the stock or market moves unexpectedly. This is what stop loss is all about - minimizing potential losses.
We've also discussed the target projection based on Wave theory, 161.8% level, which we explained through an image. So, friends, I hope you've understood the entire conclusion and learned how to analyze charts using different methods, one of which we shared with you today.
I am not Sebi registered analyst.
My studies are for educational purpose only.
Please Consult your financial advisor before trading or investing.
I am not responsible for any kinds of your profits and your losses.
Most investors treat trading as a hobby because they have a full-time job doing something else.
However, If you treat trading like a business, it will pay you like a business.
If you treat like a hobby, hobbies don't pay, they cost you...!
Hope this post is helpful to community
Thanks
RK💕
Disclaimer and Risk Warning.
The analysis and discussion provided on in.tradingview.com is intended for educational purposes only and should not be relied upon for trading decisions. RK_Chaarts is not an investment adviser and the information provided here should not be taken as professional investment advice. Before buying or selling any investments, securities, or precious metals, it is recommended that you conduct your own due diligence. RK_Chaarts does not share in your profits and will not take responsibility for any losses you may incur. So Please Consult your financial advisor before trading or investing.
Mechanical rangesMany traders will talk about things like "Smart Money Concepts" (SMC) and think they have found something new.
The truth is, everything in trading stems back to Liquidity.
There is no "Algo" nobody is out to get you specifically. The market is always right, where you position yourself is your own choice.
I have written several posts on mechanical trading, recorded a number of streams. The more mechanical you can make the process, the less the emotions have a chance to kick your ass.
Let me give you a very simple method of being able to identify the ranges. Ignore the timeframes as this will work on any of them, on most instruments. (I say most, as some behave differently due to how it attracts liquidity). Lets assume high end crypto such as Bitcoin (BTC) and of course Forex in the general sense, stocks, commodities etc.
This is simple - only 2 rules.
You start by zooming out and giving yourself a general feel for the trend.
Let's say this looks to be an uptrend - we now need to understand the rules.
An opposing candle can simply be defined by a different colour. If the trend is up (Green) and we see a red candle - then it's an opposing candle.
The inverse is true, if we are down and the trend is Red. Then a Green candle would be opposing.
This is only half of the story. The second rule is a pullback candle or even a sequence of candles. This simply means either the very same opposing candle that doesn't make a new high or low (depending on the trend up not making fresh highs or down not taking new lows).
In this image, you can see we have in one candle both an opposing and pullback in one candle. This means we can now mark the high of the range. Working backwards to identify the swing range low.
This easy method means I can draw a range exactly the same and mechanically every single time.
Giving me a mechanical range.
We could then get a lot more technical by looking for liquidity, 50% of the range or places such as supply or demand areas.
But these are all for other posts.
For now, getting a range on the higher timeframes means you can work down and down into a timeframe you are likely to want to trade on.
These ranges will give clues to draws and runs of liquidity.
This will also help identify changes in the character and fresh breaks of structure.
Here's another post I posted on the mechanical structures and techniques.
More in the next post.
Have a great week!
Disclaimer
This idea does not constitute as financial advice. It is for educational purposes only, our principal trader has over 25 years' experience in stocks, ETF's, and Forex. Hence each trade setup might have different hold times, entry or exit conditions, and will vary from the post/idea shared here. You can use the information from this post to make your own trading plan for the instrument discussed. Trading carries a risk; a high percentage of retail traders lose money. Please keep this in mind when entering any trade. Stay safe.
The Midyear Mindset Reset: Reboot Your Trading Before Q3Because nothing says "trader growth" like admitting you’ve been winging it for six months.
👋 Welcome to Halftime — How’s Your P&L Looking?
June’s closing bell isn’t just a date on the calendar — it’s that awkward moment where traders stare into the middle distance, coffee in hand, and quietly whisper: “Well… that went differently than I expected.”
Whether you’ve been racking up wins, nursing drawdowns, or simply surviving market whiplash, midyear is nature’s way of handing you a clean slate. Before Q3 throws its inevitable curveballs, now’s your chance to pause, reset, and actually look at what the heck you’ve been doing. And, of course, prepare for the next batch of earnings reports .
Spoiler: if your trading strategy this year has involved equal parts hope and caffeine, you’re not alone.
🔥 The Year So Far: Markets Kept It… Interesting
Let’s quickly recap 2025 so far (because trauma processing is healthy).
The Magnificent Seven? More like the Magnificent Two-And-A-Half. Meta NASDAQ:META and Microsoft NASDAQ:MSFT ran victory laps while everyone else tripped over AI headlines or regulatory landmines.
Nvidia NASDAQ:NVDA moonwalked into trillion-dollar territory, then stumbled after export bans — but somehow still has every fund manager whispering “Blackwell” like it’s a secret password.
Bitcoin BITSTAMP:BTCUSD set new highs north of $110K (who needs fiat when you can have memes?).
The Fed teased cuts, inflation teased persistence, and Trump teased… well, everyone.
And summer trading arrived with its usual low-volume traps, giving us breakouts that break hearts and liquidity that disappears faster than your broker’s customer support.
In short: volatility? Check. Opportunity? Absolutely. Discipline? That depends on whether you’re still following your rules or trading on vibes.
By June, most traders have crafted elaborate narratives in their heads. You know the type: "This breakout is different," "The Fed has to cut next month," and "There’s no way Nvidia can keep running like this."
The problem is, markets don’t care about your narrative. They care about price, volume, sentiment — and sometimes, absolute chaos. That beautifully clean chart setup? It’s not asking for your prediction. It’s begging you to respond with discipline, not bravado.
The traders who thrived in the first half didn’t win by forecasting every twist in the macro plotline. They won by following the tape. The breakout happened? They took it. The stop-loss hit? They respected it. That’s not luck — that’s execution.
🫶🏻 Emotional Capital: The Real Balance You Should Be Watching
P&L tells one story. Emotional capital tells another.
By June, a lot of traders aren’t out of money — they’re out of discipline. They’ve been revenge trading after a string of losses, chasing AI headlines that already ran, and convincing themselves they can “make it all back” on the next oversized position.
Do you know that feeling?
Resetting your trading mindset at midyear means recalibrating that emotional bankroll. Start by reviewing your trading journal (yes, you’re supposed to have one ). Revisit the trades that made sense and the ones that make you cringe. Recognize your patterns — your strengths, but also your weaknesses. Success leaves clues and there are lessons in failures.
💭 Clean Up the Clutter
There’s a special type of fatigue that sets in after six months of consuming too much trading content. You start layering on indicators like toppings at a frozen yogurt bar — RSI, MACD, Stochastics, VWAP, Fibonacci, Elliott Waves, Gann fans... until your charts light up like the billboards in Times Square.
The truth is, the best traders heading into Q3 are simplifying. They’re not chasing complexity; they’re chasing clarity. They know their setups, they trust their process, and they wait for clean signals.
Summer trading especially demands this discipline. Liquidity gets thinner, breakouts fail more often , and the tape gets choppy.
Complex systems may amplify the noise. Strip it down. Focus on price structure. Simplify your strategy so you can execute when real opportunities appear — not when your 12th oscillator blinks green.
⚾ You Don’t Need a Home Run
At this stage of the year, many traders fall into what we’ll call the desperate hero phase. They feel behind. They want to make up for drawdowns. They want “the trade” that fixes everything. If you’ve missed making bank over the first half of the year, chances are, you want to catch up — and fast.
Here’s a secret: The best traders aren’t always looking for grand slams. They’re playing small ball too — consistent singles, tight risk, controlled losses, steady gains.
Q3 isn’t about doubling your account. It’s about staying alive long enough for your edge to show up and play out. The traders who make it to year-end consistently profitable aren’t the ones chasing massive wins. They’re the ones compounding quiet, boring, disciplined trades.
Midyear Reset: Your Q3 Trading Checklist
Here’s your brutally simple plan for the back half:
✅ Journal your biggest mistakes from H1
✅ Cut your watchlist in half
✅ Size smaller than feels exciting
✅ Trust clean setups over crowded trades
✅ Stay curious — but stay selective
✅ Leave the FOMO trades to the TikTok influencers
So the real question heading into Q3 isn’t whether markets will go up or down. It’s whether you will trade better or keep winging it.
Happy midyear reset. Trade smarter, not harder.