The "True Close" Institutions Don't Talk About — But Trade On█ My Story from the Inside
I worked at a hedge fund in Europe, where I served as a Risk Advisor. One thing I never expected before joining the institutional side of the market was this:
They didn’t treat the current day’s close as the "true" close of the market.
Instead, they looked at the first hour of the next day — once all pending flows had settled, rebalancing was done, and execution dust had cleared — that was the true close in their eyes.
Here’s why that changed everything I knew about trading:
█ Institutional Reality vs Retail Fantasy
⚪ Retail traders are taught:
“The daily close is the most important price of the day.” But institutions operate under constraints that most retail traders are never exposed to:
Orders too large to fill before the bell
Internal compliance and execution delays
Batch algorithms and VWAP/TWAP systems that extend into the next session
So while the market might close on paper at 17:30 CET, the real trading — the stuff that matters to funds — might not wrap up until 09:30 or 10:00 the next morning.
Although the official “close” prints here, institutional volume ends quickly. It drops off sharply, almost immediately. Once the books are closed and final prints are done, big players exit — and what's left is thin, passive flow or noise.
The first hour of the New York session reveals structured flows, not random volatility. This is where institutions finalize yesterday’s unfinished business, which is why many consider this the “true” close.
And that’s the price risk managers, portfolio managers, and execution teams internally treat as the reference point.
█ Example: The Rebalance Spillover
Let’s say a fund needs to offload €100 million worth of tech stocks before month-end. They start into the close, but liquidity is thin. Slippage mounts. They pause execution. Next morning, their algo resumes — quietly but aggressively — in the first 30 minutes of trade.
You see a sharp spike. Then a reversal. Then another surge.
That’s not noise. That’s structure. It’s the result of unfinished business from yesterday.
█ Why the First Hour is a War Zone
You’ve probably seen it:
Prices whip back and forth at the open
Yesterday’s key levels are revisited, sometimes violently
Big moves happen without any overnight news
Here’s what’s happening under the hood:
Rebalancing spillovers from the day before
Late-position adjustments from inflows/outflows
Risk parity or vol-targeting models triggering trades based on overnight data
The market’s not reacting to fresh news — it’s completing its old to-do list.
█ What the Research Really Says About Morning Volatility
The idea that "the true close happens the next morning" isn’t just insider intuition — it’s backed by market microstructure research that highlights how institutional behaviors disrupt the clean narrative of the official close.
Here’s what the literature reveals:
█ Heston, Korajczyk & Sadka (2010)
Their study on intraday return patterns shows that returns continue at predictable 30-minute intervals, especially around the open.
The key driver? Institutional order flow imbalances.
When big funds can’t complete trades at the close, they spill into the next session, creating mechanical, non-informational momentum during the first hour. These delayed executions are visible as persistent price drifts after the open, not random volatility.
█ Wei Li & Steven Wang (SSRN 2010)
This paper dives into the asymmetric impact of institutional trades. It shows that when institutions are forced to adjust positions — often due to risk limits, inflows/outflows, or model-based triggers — the market reacts most violently in the early hours of the day.
When funds lag behind the clock, the next morning becomes a catch-up window, and price volatility spikes accordingly.
█ Lars Nordén (Doctoral Thesis, Swedish Stock Exchange)
In his microstructure research, Nordén found that the variance of returns is highest in the early part of the session, not at the close. This is especially true on days following macro events or at the end/start of reporting periods.
The data implies that institutions “price in” what they couldn’t execute the day before, making the next morning more informative than the actual close.
█ Bottom Line from the Research:
The first hour isn’t wild because it’s full of emotion.
It’s wild because it’s full of unfinished business.
These studies reinforce that price discovery is a rolling process, and for institutional flows, the official close is just a checkpoint, not a final destination.
█ How to Use This as a Trader
⚪ Don't assume the official close is final
Treat it as a temporary bookmark. Watch what happens in the first hour of the next day — that’s when intentions are revealed.
⚪ Volume in the first 30–60 minutes matters
It’s not noise — it’s flow completion. Often non-price-sensitive. Often mechanical.
⚪ Design strategies around “true close” logic
Test fade setups after the first hour’s range is established. That’s often the real “settled” level.
⚪ Use the first-hour VWAP or midpoint as a reference
Institutions may anchor to that — not the official close — for mean reversion or risk metrics.
█ Final Thought
The first hour is not the start of something new.
It’s the conclusion of yesterday’s market.
And unless you understand how institutions truly close their books — and how long that takes — you’ll always be a step behind.
So next time you see chaos at the open, stop calling it random.
👉 It’s just the market putting yesterday to bed — late.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Community ideas
Bitcoin Or Gold? Real Safe Haven In Middle East tension When the world shakes, where does money go— Bitcoin or gold ?
You may think crypto is the ultimate safe haven… but data tells a different story.
This breakdown compares digital dreams vs. physical trust —with charts, tools, and the psychology behind every move.
Hello✌
Spend 3 minutes ⏰ reading this educational material.
🎯 Analytical Insight on Bitcoin:
Contrary to common expectations, Bitcoin has shown relative resilience amid recent geopolitical tensions, refraining from a sharp sell-off.
This price behavior signals a potential shift in market psychology—something I’ll explore further in an upcoming educational post.
Based on my previous analyses, I continue to anticipate an upward breakout above the $110K resistance zone in the current structure.
Now , let's dive into the educational section,
📌 Gold: The Legacy of Trust
For thousands of years, gold has been the go-to safe asset. In wars, inflation, sanctions, and crashes—it remains the mental anchor of value. Tangible, historic, and out of government control.
🪙 Bitcoin: Revolutionary but Unstable
Bitcoin promises freedom, decentralization, and anti-inflation. But during actual crises, trust wavers. High volatility, regulatory risk, and lack of a long history make investors hesitate when fear hits hard.
🛠️ TradingView Tools That Reveal Where Smart Money Flows
One reason TradingView stands out is its wide set of tools that help you track market psychology—not just price action. When it comes to analyzing the Bitcoin-vs-Gold battle during global crises (like the Iran-Israel war), these tools are essential:
Correlation Coefficient: This shows how closely BTC and gold move together. In panic moments, it helps reveal where the real trust is flowing.
On-Balance Volume (OBV): Key for spotting where big money is headed. If OBV on gold rises while BTC’s falls, smart money isn’t betting on crypto just yet.
Fear & Greed Index Logic (DIY): While not a native TradingView tool, you can mimic it by combining volatility and volume indicators to reflect market emotion.
Overlay XAUUSD and BTCUSD: Place both on a single chart with “percentage scale” enabled. You’ll see exactly which one holds up better during chaos.
Marking Geo-Political Events: Tag key events (like missile strikes or sanctions) on your charts. Track how Bitcoin and gold react immediately after.
📊 How Investors React in Crisis
During events like an Iran-Israel war, data shows money often flows into gold—not BTC. When panic peaks, people run toward the “known,” not the “new.”
🧠 The Illusion of Crypto as Safe Haven
We want to believe BTC is the new gold. But the human mind—under threat—defaults to ancient instincts. Fear doesn’t innovate. It runs to what it knows: shiny, physical, historical gold.
💡 When Will Bitcoin Truly Compete?
When the next generation fully embraces digital assets. When institutions store BTC alongside gold. When BTC no longer crashes on scary headlines—that’s when the shift becomes real.
⚠️ Lessons from War
Wars reveal that markets don’t behave rationally in fear. Even if Bitcoin makes sense on paper, emotion drives flows. Right now, that flow still favors gold.
🔍 What to Watch Next
If, during a future conflict, Bitcoin drops less—or even rises while gold does—you may be witnessing a turning point. Until then, keep tracking both with your TradingView setups.
🧭 Final Takeaway
Gold still owns the trust game in a crisis. Bitcoin is on its way but hasn’t crossed that psychological line. If you’re a smart trader, know how to read both—and move before the herd does.
✨ 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.
Soybeans and Heat: Subtle Signals in a Volatile Market1. Introduction
Soybeans aren't just a staple in livestock feed and global cuisine—they’re also a major commodity in futures markets, commanding serious attention from hedgers and speculators alike. With growing demand from China, unpredictable yields in South America, and increasing climatic instability, the behavior of soybean prices often reflects a deeper interplay of supply chain stress and environmental variability.
Among the many weather variables, temperature remains one of the most closely watched. It’s no secret that extreme heat can harm crops. But what’s less obvious is this: Does high temperature truly move the soybean market in measurable ways?
As we’ll explore, the answer is yes—but with a twist. Our deep dive into decades of data reveals a story of statistical significance, but not dramatic deviation. In other words, the signal is there, but you need to know where—and how—to look.
2. Soybeans and Climate Sensitivity
The soybean plant’s sensitivity to heat is well documented. During its flowering and pod-setting stages, typically mid-to-late summer in the U.S., soybean yields are highly vulnerable to weather fluctuations. Excessive heat during these windows—particularly above 30ºC (86ºF)—can impair pod development, lower seed count, and accelerate moisture loss from the soil.
The optimal range for soybean development tends to hover between 20ºC to 30ºC (68ºF to 86ºF). Within this window, the plant thrives—assuming adequate rainfall and no pest infestations. Go beyond it for long enough, and physiological stress builds up. This is precisely the kind of risk that traders price into futures markets, often preemptively based on forecasts.
Yet, trader psychology is just as important as crop biology. Weather alerts—especially heatwaves—often drive speculative trading. The market may anticipate stress well before actual yield reports come out. This behavior is where we see the beginnings of correlation between temperature and market movement.
3. Quantifying Weather Impact on Soybean Futures
To test how meaningful these heat-driven narratives are, we categorized weekly temperatures into three buckets:
Low: Below the 25th percentile of weekly temperature readings
Normal: Between the 25th and 75th percentile
High: Above the 75th percentile
We then calculated weekly returns of Soybean Futures (ZS) across these categories. The results?
Despite the modest visual differences in distribution, the statistical analysis revealed a clear pattern: Returns during high-temperature weeks were significantly different from those during low-temperature weeks, with a p-value of 3.7e-11.
This means the likelihood of such a difference occurring by chance is effectively zero. But here’s the catch—the difference in mean return was present, yes, but not huge. And visually, the boxplots showed overlapping quartiles. This disconnect between statistical and visual clarity is exactly what makes this insight subtle, yet valuable.
4. What the Data Really Tells Us
At first glance, the boxplots comparing soybean futures returns across temperature categories don’t scream “market-moving force.” The medians of weekly returns during Low, Normal, and High temperature periods are closely clustered. The interquartile ranges (IQRs) overlap significantly. Outliers are present in every category.
So why the statistical significance?
It’s a matter of consistency across time. The soybean market doesn’t suddenly explode every time it gets hot—but across hundreds of data points, there’s a slightly more favorable distribution of returns during hotter weeks. It’s not dramatic, but it’s reliable enough to warrant strategic awareness.
This is where experienced traders can sharpen their edge. If you’re already using technical analysis, seasonal patterns, or supply-demand forecasts, this weather-based nuance can serve as a quiet confirmation or subtle filter.
5. Why This Still Matters for Traders
In markets like soybeans, where prices can respond to multiple fundamental factors—currency shifts, export numbers, oilseed competition—small weather patterns might seem like background noise. But when viewed statistically, these small effects can become the grain of edge that separates average positioning from smart exposure.
For example:
Volatility tends to rise during high-heat weeks, even when average return shifts are small.
Institutional players may rebalance positions based on crop health assumptions before USDA reports arrive.
Weather trading algos can push prices slightly more aggressively during risk-prone periods.
In short, traders don’t need weather to predict price. But by knowing what weather has historically meant, they can adjust sizing, bias, or timing with greater precision.
6. Contract Specs: Standard vs. Micro Soybeans
Accessing the soybean futures market doesn’t have to require big institutional capital. With the launch of Micro Soybean Futures (MZS), traders can participate at a more granular scale.
Here are the current CME Group specs:
📌 Contract Specs for Soybean Futures (ZS):
Symbol: ZS
Contract size: 5,000 bushels
Tick size: 1/4 of one cent (0.0025) per bushel = $12.50
Initial margin: ~$2,100 (varies by broker and volatility)
📌 Micro Soybean Futures (MZS):
Symbol: MZS
Contract size: 500 bushels
Tick size: 0.0050 per bushel = $2.50
Initial margin: ~$210
The micro-sized contract allows traders to scale into positions, especially when exploring signals like weather impact. It also enables more nuanced strategies—such as partial hedges or volatility exposure—without the capital intensity of full-size contracts.
7. Conclusion: A Nuanced Edge for Weather-Aware Traders
When it comes to soybeans and temperature, the story isn’t one of obvious crashes or dramatic spikes. It’s a story of consistent, statistically measurable edges that can quietly inform better trading behavior.
Yes, the return differences may look small on a chart. But over time, in leveraged markets with seasonality and fundamental noise, even a few extra basis points in your favor—combined with smarter sizing and timing—can shift your performance curve meaningfully.
Using tools like Micro Soybean Futures, and being aware of technical frameworks, traders can efficiently adapt to subtle but reliable signals like temperature-based volatility.
And remember: this article is just one piece in a multi-part series exploring the intersection of weather and agricultural trading. The next piece might just provide the missing link to complete your edge. Stay tuned. 🌾📈
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.sweetlogin.com - 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.
Top 5 Most Effective Forex Trading StrategiesTop 5 Most Effective Forex Trading Strategies Used by Professional Traders
Forex trading requires not just knowledge, but discipline and a clear strategy. So what are the most effective forex trading strategies that professional traders consistently use to achieve sustainable profits?
Let’s explore the 5 most trusted strategies that have stood the test of time – helping you level up your skills and reduce risk in this trillion-dollar market.
1. Breakout Strategy – Catching the Wave When the Market Explodes
A breakout occurs when price moves beyond a key support or resistance level after a period of consolidation. This usually signals the start of a new trend.
Best for: Traders who love strong momentum.
Pro tip: Confirm breakout with volume or candlestick patterns (e.g., engulfing).
Caution: Avoid entering right after the breakout – wait for a retest.
2. Trend Following Strategy – Trade with the Market, Not Against It
“Trend is your friend” – one of the most famous sayings in trading. This strategy helps traders ride the main trend, buying in uptrends and selling in downtrends.
Recommended tools: MA 20, MA 50, RSI, MACD.
Insider tip: Combine with pullback entries (enter when price retraces to dynamic support/resistance).
3. Price Action Strategy – Reading the Market Without Indicators
Price Action focuses on interpreting pure price behavior, without relying on indicators. Many pro traders prefer this approach to understand market psychology in real time.
Advantages: Clean, flexible, sharpens decision-making.
Popular candlestick patterns: Pin Bar, Inside Bar, Fakey, Engulfing.
4. News Trading Strategy – For Quick Thinkers and Fast Hands
When major news events like CPI, NFP, FOMC, or rate decisions hit the market, volatility surges. This creates both high-profit opportunities and high risks.
Common tactic: Straddle – place Buy Stop & Sell Stop before news release.
Risk warning: Watch out for slippage and widened spreads.
5. Fibonacci & Confluence Strategy – High-Probability Entries
This strategy combines tools like Fibonacci retracement, trendlines, support/resistance zones, and moving averages to find high-probability entry points.
Strength: Optimizes Risk: Reward ratio.
Tip: Focus on Fib levels 0.382 – 0.618 (commonly used retracement zones).
Conclusion: The Best Strategy is the One That Matches Your Style
There’s no perfect strategy – but understanding and applying the one that best fits your trading style will help you avoid emotional decisions and build long-term consistency.
Remember: Risk management – Emotional control – Systematic discipline = Long-term trading survival.
Learning#03 : VWAP in Intraday TradingLearning#03 : VWAP in Intraday Trading
📊 VWAP in Intraday Trading: The Market’s Fair Price GPS
Ever wondered if there’s a level that shows where the real trading action is happening? That’s exactly what VWAP does — it’s like a volume-weighted compass that intraday traders use to orient themselves in the market.
It’s not just another line on your chart. VWAP reflects where institutions and volume-heavy participants are active. That’s why understanding how price interacts with it can give you a serious edge.
Let’s break it down 👇
🧠 What is VWAP?
VWAP stands for Volume Weighted Average Price.
In simple terms, it shows the average price a stock has traded at throughout the day, based on both price and volume.
Unlike a simple average, VWAP gives more weight to prices where more trading volume occurred — meaning it's a better reflection of the market’s consensus value.
Think of it as:
A real-time fair value line for intraday decision-making.
📈 Why VWAP Matters for Intraday Traders
VWAP acts as an intraday anchor. It tells you whether the price is currently trading above or below the day’s volume-weighted average — giving you quick insight into who's in control.
Here’s how to interpret it:
When price is above VWAP, buyers are in control and the bias is bullish.
When price is below VWAP, sellers are dominating and the bias is bearish.
When price is hovering near VWAP, the market is undecided, consolidating, or lacking direction.
In short, VWAP tells you who’s winning the intraday tug of war — and whether it’s even worth stepping in.
⚙️ How to Use VWAP in Your Intraday Strategy
1️⃣ VWAP as a Trend Filter
Before entering a trade, check where price is relative to VWAP:
Price above VWAP with higher lows → Focus on long setups
Price below VWAP with lower highs → Focus on short setups
🔁 Skip counter-trend trades. Stay with the flow.
This helps in trending markets by keeping you aligned with momentum.
2️⃣ VWAP as Dynamic Support or Resistance
VWAP behaves like a magnet. Price often pulls back to it and either:
Rejects (respects the level as support/resistance), or
Breaks and reclaims (signaling a potential reversal)
Use it alongside:
Flag patterns
Inside bars
Break-and-retest structures
3️⃣ VWAP Reversion Play (Snapback Trade)
This is a mean-reversion setup:
Price moves quickly away from VWAP at open
No strong follow-through, signs of exhaustion
Take a counter-trend trade back to VWAP
⚠️ Avoid this in strong trending markets — best used in choppy or fading environments.
4️⃣ VWAP with Price Action for Structure
Pair VWAP with clean price action:
Mark support and resistance zones
Observe price behavior near VWAP
Look for confirmation: inside bars, rejection wicks, engulfing candles
🎯 This adds logic and clarity to your entries — no random trades.
🔍 Bonus VWAP Tips
Combine VWAP with:
CPR (Central Pivot Range) for confluence zones
Opening range for breakout bias
Volume profile to spot high interest areas
These combos create strong, repeatable trade setups.
✅ VWAP Recap: Why It Matters
Here’s a quick breakdown of how VWAP can sharpen your intraday trading game:
Bias Building: VWAP helps confirm whether the market structure is bullish or bearish, giving you a reliable directional bias.
Trend Filtering: It keeps you aligned with the current momentum by filtering out counter-trend trades.
Pullback Entries: VWAP acts as a dynamic support or resistance level, offering clean zones to enter trades during pullbacks.
Mean Reversion: In sideways or fading markets, VWAP becomes a natural magnet — allowing you to target price reversions.
Risk Management: It provides logical reference points for placing stop-losses and defining entry zones, adding clarity to your risk-reward planning.
✍️ Final Thoughts
VWAP may sound simple, but it brings real structure to intraday trading.
It tells you where volume met price, and that’s powerful. When used with price action, it creates a solid framework for:
Building directional bias
Finding clean entries
Managing risk like a pro
VWAP doesn’t predict — it reflects. And in trading, reflection is more useful than prediction.
🛎️ Respect VWAP. Trade with structure.
— Kiran Zatakia
What is Dollar Cost Averaging (DCA)?🔵 What is Dollar Cost Averaging (DCA)?
Dollar Cost Averaging (DCA) is a timeless investment strategy that involves investing a fixed amount of money at regular intervals, regardless of the asset's price. It’s one of the most effective ways to build a position over time while minimizing the impact of market volatility.
The term "Dollar Cost Averaging" was popularized in the early 20th century by Benjamin Graham — the father of value investing and mentor to Warren Buffett. Graham advocated DCA as a way to remove emotions and guesswork from investing. By spreading out purchases, investors could avoid mistiming the market and reduce risk exposure.
Today, DCA remains a core strategy for retail investors, especially in volatile markets like cryptocurrencies and growth stocks.
🔵 How Does DCA Work?
The concept is simple: instead of investing a lump sum all at once, you break your total investment into smaller, equal parts and invest them over time — for example, weekly or monthly.
Invest $100 every week into Bitcoin.
Keep buying consistently — regardless of whether price goes up or down.
Over time, this smooths out your average entry price.
You buy more when price is low, and less when price is high.
Example:
If BTC is at $30,000 one month, you buy a small amount.
If BTC drops to $25,000 the next month, you buy more units with the same $100.
Over time, your entry price averages out — reducing the risk of buying at a peak.
🔵 Why Use DCA?
DCA offers both psychological and mathematical advantages:
Reduces timing risk: You don’t need to predict market tops or bottoms.
Builds discipline: Encourages consistent investing habits.
Prevents emotional mistakes: Avoids FOMO buying and panic selling.
Smooths volatility: Especially useful in crypto or fast-moving assets.
🔵 Smart DCA: Buying Into Market Bottoms
While classic DCA is powerful on its own, it becomes even more effective when combined with market structure. A popular approach is to only DCA when the asset is trading below its long-term average — such as the 200-day Simple Moving Average (SMA) or using RSI (Relative Strength Index).
What is the 200-day SMA?
It’s the average closing price over the last 200 days — a key indicator of long-term trend direction.
Why DCA Below the 200 SMA?
Historically, many market bottoms occur below the 200 SMA. Using this as a filter helps you avoid accumulating during overvalued or overheated conditions.
SDCA with RSI
The Relative Strength Index (RSI) helps identify momentum exhaustion. When RSI drops below 30, it often marks deeply oversold conditions — especially on the daily chart for BTC.
How to use it:
Only DCA when price is below the 200-day SMA.
You accumulate during crashes, fear, and corrections.
Avoid buying when price is extended far above long-term value.
🔵 Scaling DCA Based on Undervaluation
To further optimize the strategy, you can scale your DCA amounts depending on how far below the 200 SMA the price is.
Example:
Price is 5% below 200 SMA → invest normal amount.
Price is 15% below → double your investment.
Price is 25% below → triple your investment.
This creates a dynamic DCA system that responds to market conditions — helping you build larger positions when prices are truly discounted.
🔵 When DCA Doesn’t Work
Like any strategy, DCA has limitations. It’s not magic — just a system to reduce timing errors.
In strong uptrends, a lump sum investment can outperform DCA.
In declining assets with no recovery (bad fundamentals), DCA becomes risky.
DCA works best on quality assets with long-term growth potential.
Always combine DCA with research and risk management — don’t blindly accumulate assets just because they’re down.
🔵 Final Thoughts
Dollar Cost Averaging isn’t about buying the exact bottom — it’s about consistency , discipline , and risk control . Whether you’re investing in Bitcoin, stocks, or ETFs, DCA offers a stress-free approach to enter the market and smooth out volatility over time.
Smart traders take it one step further: using moving averages and structure to focus their DCA efforts where value is highest.
DCA won’t make you rich overnight — but it will help you sleep at night.
This article is for educational purposes only and is not financial advice. Always do your own research and invest responsibly.
About the chart that shows a sideways movement...
Hello, traders.
If you "follow", you can always get new information quickly.
Have a nice day today.
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When you study charts, you will realize how difficult it is to move sideways.
Therefore, depending on how long the sideways movement was before the big wave, the size of the wave is also predicted.
However, in the charts showing sideways movement, the price range and wave size are often known after the wave appears.
This shows that the location of the sideways movement and the size of the sideways wave are important.
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Looking at the chart above, we can say that it is showing a sideways movement.
However, since the price is located at the lowest price range, it is better to exclude this chart.
The reason is that if it is showing a sideways movement at the lowest price range, it is likely that the trading volume has decreased significantly due to being excluded from the market.
This is because it is likely to take a long time to turn into an upward trend in this state.
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Looking at the chart above, the price is showing a sideways movement while maintaining a certain interval after rising.
The sideways movement is about 31%, so it may be ambiguous to say that it is actually sideways.
However, if the price moves sideways while maintaining a certain interval after rising, it means that someone is trying to maintain the price.
Therefore, when it shows a movement that breaks through the sideways section, it should be considered that there is a possibility that a large wave will occur.
The wave can be either upward or downward.
Therefore, it is necessary to be careful not to jump into a purchase with the idea that it will definitely rise in the future just because it moves sideways.
A box section is set at both ends of the sideways section.
Therefore, it is recommended to proceed with a purchase in installments when it shows support after entering this box section.
In other words, it is important to check the support in the 1.5-1.9669 section or the 25641-2.6013 section.
You can see that the HA-Low indicator and the HA-High indicator are converging.
Therefore, if this convergence is broken, it is expected that a trend will be formed.
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Like this, you should measure the price position of the sideways movement and the width of the sideways movement well and think in advance about whether to proceed with the transaction when it deviates from that range.
Otherwise, if you start trading after the wave has already started, you may end up giving up the transaction because you cannot overcome the wave.
Since it is not known when the movement will start once the sideways movement starts, individual investors easily get tired.
Therefore, when the coin (token) you want to trade shows a sideways movement, it is recommended to increase the number of coins (tokens) corresponding to the profit while conducting short-term trading (day trading).
If you do this, you will naturally be able to see how the sideways waves change, and you will be able to hold out until a big wave starts.
I think there are quite a few people who are not familiar with day trading and say they will buy at once when the wave starts.
If you can hold out well against the wave, you will get good results, but there is a possibility that the trade will fail 7-8 times out of 10, so if possible, it is good to get used to the feeling by day trading coins (tokens) that show this sideways pattern.
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Thank you for reading to the end.
I hope you have a successful trade.
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Wedge Pattern – Simple Explanation
📚 Wedge Pattern – Simple Explanation
A wedge pattern is a shape on the chart that looks like a triangle or cone. It tells us that the price is getting ready to break out — either up or down.
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🔻 Falling Wedge (Bullish)
Looks like price is going down, but slowly.
Lines move closer together.
Usually means the price will go up soon.
It's a bullish signal (good for buying).
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🔺 Rising Wedge (Bearish)
Price goes up, but losing strength.
Lines get closer together.
Usually means the price will go down soon.
It's a bearish signal (good for selling).
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💡 Easy Tips:
Wait for breakout (big move out of the wedge).
Use a stop-loss below/above the pattern.
Target = height of the wedge.
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📌 In Short:
Wedge = Squeeze pattern.
Falling wedge = Buy chance.
Rising wedge = Sell chance.
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Let me know if you have sny doubt in comments
Trading at the Market OpenTrading at the Market Open
The market open marks a critical juncture in the financial world, presenting a unique blend of opportunities and challenges for traders. This article explores the essence of trading at the open across stocks, forex, and commodities. It delves into the heightened volatility and liquidity characteristic of this period, offering insights and strategies to navigate these early market hours effectively, setting the stage for trading opportunities.
What Does the Open Mean in Stocks, Forex, and Commodities?
The open signifies the start of the trading day for various financial markets. It's a time when trading activity surges, marked by a rush of orders that have accumulated since the previous close. In stock markets, this includes shares, indices, and Exchange-Traded Funds (ETFs). The influx of orders often leads to significant price movements as the market absorbs overnight news and global economic developments.
For forex and commodity markets, the open can vary by region, reflecting their 24-hour nature. This period is crucial for setting the tone of the trading day, offering insights into sentiment and potential trends. Traders closely watch the market open to gauge the strength of these movements, which can indicate broader market trends or sector-specific shifts.
Volatility and Liquidity at Market Open
Trading at the open is often marked by enhanced volatility and liquidity. Heightened volatility is primarily due to the influx of orders accumulated overnight, reacting to various global events and news. As traders and investors assimilate this information, rapid price movements are common, especially in the first few minutes of the session. These price fluctuations can present both opportunities and risks for traders.
Increased liquidity, which refers to the ease with which assets can be bought or sold without causing significant price movements, is also a characteristic of the open. A higher number of market participants during this period may result in better order execution and tighter bid-ask spreads, particularly in highly liquid markets like forex and major stock indices.
What to Know Before the Market Opens
In terms of things to know before the stock market opens, it's essential to review the overnight and early morning news that can affect stocks. This includes company earnings reports, economic data releases, and geopolitical events. Traders also check pre-market trading activity to gauge sentiment and potential opening price movements.
For forex and commodities, understanding global events is crucial. Developments in different time zones, like policy changes by central banks or shifts in political scenarios, can significantly impact these markets. Additionally, reviewing the performance of international markets can provide insights, as they often influence the US open.
It's also vital to analyse futures markets, as they can indicate how stock indices might open. Lastly, around the forex, commodity, and stock market openings, indicators and other technical analysis tools applied to the previous day can also offer valuable context for the day ahead.
Market Open in Different Time Zones
Market open times vary globally due to different time zones, significantly impacting trading strategies. For instance, the New York Stock Exchange (NYSE) opens at 9:30 AM Eastern Time, which corresponds to different times in other parts of the world. For traders in London, this translates to an afternoon session, while for those in Asian markets like Tokyo, it's late evening.
Forex, operating 24 hours a day during weekdays, see overlapping sessions across different regions. For example, when the Asian trading session is concluding, the European session begins and later overlaps with the North American session. Such global interconnectivity ensures that forex markets are active round the clock, offering continuous trading opportunities but also requiring traders to be mindful of time zone differences and their impact on liquidity and volatility.
Strategies for Trading at Market Open
Trading at market open requires strategies that can handle rapid price movements across all markets. Here are some effective approaches:
- Pay Attention to Pre-Market Trends: This helps traders assess how a stock might behave at the market open. If a stock is fading from post-market highs, it might be wise to wait for a trend change before entering.
- Gap and Go Strategy: This involves focusing on stocks that gap up on positive news at market open, an indicator of potential further bullishness. Traders look for high relative volume in pre-market and enter trades on a break of pre-market highs. This strategy is fast-paced and requires quick decision-making.
- Opening Range Breakout (ORB): The ORB strategy uses the early trading range (high and low) to set entry points for breakout trades across all types of assets. The breakout from this range, typically the first 30 to 60 minutes of the session, often indicates the price direction for the rest of the session. Time frames like 5-minute, 15-minute, and 30-minute are commonly used for ORB.
- Gap Reversal: The gap reversal method is used when the price creates a gap, but then the range breaks in the opposite direction. If the gap is bullish and the price breaks the lower level of the opening range, it signals a gap reversal. The same concept applies to bearish gaps but in reverse.
The Bottom Line
In essence, understanding unique features of market open trading is vital for those participating in stock, forex, and commodity markets. The opening moments are characterised by heightened volatility and liquidity, driven by global events and sentiment. However, savvy traders may capitalise on these early market dynamics with effective strategies.
This article represents the opinion of the Companies operating under the FXOpen brand only. It is not to be construed as an offer, solicitation, or recommendation with respect to products and services provided by the Companies operating under the FXOpen brand, nor is it to be considered financial advice.
Macromics Group: Market Trends Overview (June 2025)Global Economic Landscape: What Has Changed?
June 2025 marks significant shifts in the global economy. After several years of instability caused by the pandemic, inflation, and geopolitical tensions, markets are gradually stabilizing. However, new challenges are emerging: rising risks in Asia, digital transformation in Europe, and strategy shifts in the U.S.
China and India continue to show strong growth rates—5.8% and 6.5% respectively. Europe, by contrast, is lagging behind due to slow recovery and persistent inflation. The U.S. maintains a steady course driven by consumer spending and innovation, reporting 2.1% GDP growth.
Macromics Group continues to deliver in-depth analytics and strategies for clients seeking to understand and capitalize on these changes. We analyze trends across more than 120 industries, helping companies adapt and thrive.
Macroeconomics and Monetary Policy: A Shift Toward Stabilization
Financial regulators have begun cautiously lowering interest rates after the peaks of 2024. The U.S. Federal Reserve has dropped its rate to 4.5%, while the ECB has reduced its rate to 3.75%. This is made possible by a decline in inflation: 2.7% in the U.S. and 3.1% in the EU.
Meanwhile, developing nations like Turkey and Argentina are still grappling with high inflation. These countries risk falling behind the global recovery unless decisive steps are taken.
Overall, the global course is toward soft stabilization: interest rates remain high but steady. This creates favorable conditions for investment and long-term planning.
Financial Markets: From Caution to Moderate Optimism
Stock markets in June 2025 show mixed performance. U.S. indexes such as the S&P 500 and Nasdaq hit new highs, thanks to the booming tech sector. Stocks of companies involved in AI, quantum computing, and cybersecurity are particularly strong.
European markets are less active but relatively stable. Growth is limited by high costs, demographic issues, and the transition to ESG standards. In Russia and CIS countries, markets are under pressure due to sanctions, currency restrictions, and reduced investment.
On the currency front, the U.S. dollar and Chinese yuan dominate. The ruble is volatile, the euro is stable, and the yen is strengthening as a safe haven asset.
Technology: The Engine of New Markets
The main trend in 2025 is AI and automation. Companies are deploying neural networks in logistics, marketing, finance, and HR to cut costs and boost efficiency. Demand for AI professionals and developers is surging.
5G infrastructure has matured in most developed countries, unlocking new potential in IoT, telemedicine, and remote work. At the same time, quantum computing is advancing rapidly, with commercial solutions expected by 2026.
Macromics Group invests in next-generation analytical platforms, enabling clients to access real-time insights and forecast trends before they go mainstream.
Energy and Sustainability: ESG and the “Green” Shift
Energy markets have stabilized after the turbulence of 2024. Oil prices remain between $70–$85 per barrel—comfortable for both producers and consumers. Meanwhile, renewable energy—solar, wind, and hydrogen—is seeing record investment.
Corporations are increasingly reporting according to ESG standards. It’s not just a trend, but a new business reality. Investors demand transparency, consumers prefer socially responsible brands, and regulators impose mandatory reporting.
Macromics Group supports clients in transitioning to sustainable models by developing ESG strategies, assessing risks, and offering financial solutions.
Conclusion: Outlook for the Second Half of 2025
The first half of 2025 showed that markets are learning to operate in a new reality. The global economy is no longer chasing rapid growth, but adapting to volatility. Key focus areas are technology, sustainability, and smart resource management.
For businesses, this means quick adaptation, innovative thinking, and reliance on data-driven decisions. In this context, Macromics Group serves not just as an analyst but as a strategic partner.
Our recommendation: act proactively. In times of uncertainty, those who plan years ahead and use quality data will win.
when Jerome says spike, the markets asks how low/high"Watch what they do, but also how they say it."
In the high-stakes world of central banking, few things move markets like the subtle wording of a Fed statement, But beyond the headlines and soundbites, one market absorbs this information faster—and with greater clarity—than almost any other: the bond market.
💬 What Is "Fed Speak"?
"Fed speak" refers to the nuanced and often deliberately vague language used by U.S. Federal Reserve officials when communicating policy expectations. It includes:
FOMC statements
Dot plot projections
Press conferences
Individual speeches from Fed officials
nerdy tip: the Fed aims to influence expectations without committing to specific outcomes, maintaining flexibility while steering market psychology.
📈 The Bond Market as a Decoder
The bond market, particularly the U.S. Treasury market, is where real-time interpretation of Fed policy plays out. Here's how it typically reacts:
1. Short-Term Yields (2Y, 3M) = Fed Expectation Barometer
These are the most sensitive to near-term interest rate expectations. If the Fed sounds hawkish (more rate hikes), short-term yields jump. If dovish (hinting cuts), they fall. At the May 7, 2025 FOMC meeting, the 2-year Treasury yield (US02Y) experienced a modest but clear reaction:
Just before the release, yields were hovering around 3.79%.
In the first hour following the 2:00 PM ET (20:00 UTC+2) statement, the yield ticked up by approximately +8 basis points, temporarily reaching about 3.87%.
Later that day, it eased back to around 3.79%, ending the day roughly unchanged—a sharp, immediate spike followed by a reversion.
2. Long-Term Yields (10Y, 30Y) = Growth + Inflation Expectations
Longer-dated yields reflect how the market sees the economy unfolding over time. After a Fed speech:
Rising long-term yields = stronger growth/inflation expected
Falling yields = fears of recession, disinflation, or policy over-tightening
3. The Yield Curve = Market's Policy Verdict
One of the best tools to read the bond market's verdict is the yield curve—specifically, the spread between 10Y and 2Y yields.
Steepening curve → Market thinks growth is picking up (Fed may be behind the curve)
Flattening or Inversion → Market believes the Fed is too aggressive, risking a slowdown or recession
📉 Example: After Jerome Powell’s hawkish Jackson Hole speech in 2022, the 2Y-10Y spread inverted deeply—markets were pricing in recession risks despite a strong Fed tone.
🧠 Why Traders Must Watch Bonds After Fed Speak
🪙 FX Traders:
Higher yields = stronger USD (carry trade advantage)
Falling yields = weaker USD (lower return for holding)
📈 Equity Traders:
Rising yields = pressure on tech/growth stocks (higher discount rates)
Falling yields = relief rally in risk assets
📊 Macro Traders:
The MOVE Index (bond volatility) often spikes around FOMC events
Forward guidance shifts = big rotation opportunities (e.g., bonds > gold > dollar)
(BONUS NERDY TIP) 🔍 How to Analyze Fed Speak Through Bonds
✅ Step 1: Watch the 2Y Yield
First responder to new rate expectations.
✅ Step 2: Check the Fed Funds Futures
Compare market pricing pre- and post-statement.
✅ Step 3: Look at Yield Curve Movement
Steepening or inversion? That’s the market’s macro take.
✅ Step 4: Track TLT or 10Y Yield on Your Chart
Bond ETFs or Treasury yields reveal sentiment instantly.
🧭 Final Nerdy Thought : Bonds React First, Talk Later
When the Fed speaks, don't just read the words. Read the yields. The bond market is often the first to interpret what the Fed really means—and the first to price in what comes next.
So next FOMC meeting, instead of watching only Powell’s facial expressions or CNBC pundits, open a chart of the 2Y and 10Y. That’s where the smart money’s listening.
put together by : @currencynerd as Pako Phutietsile
courtesy of : @TradingView
Most Traders React to Markets. The Best Anticipate Them.Most Traders React to Markets. The Best Anticipate Them.
Hard truth:
You're always one step behind because you trade reactively.
You can’t win a race if you're always responding to moves already made.
Here's how reactive trading burns your edge:
- You chase breakouts after they've happened, entering at the peak.
- You panic-sell into downturns because you didn't anticipate.
- You miss major moves because you're looking backward, not forward.
🎯 The fix?
Develop anticipatory trading habits. Identify scenarios in advance, set clear triggers, and act decisively when probabilities align - not after the market confirms.
TrendGo provides structure for anticipation - not reaction.
🔍 Stop responding, start anticipating. Your account will thank you.
Re-defining Trading Psychology: A Functional ApproachRethinking Trading Psychology: A Functional Definition
Trading psychology is often misunderstood or overly simplified in trading discourse. Psychology, by definition, is the scientific study of the mind and behavior. When applied to trading, trading psychology should be defined as the study of how our mental processes directly influence market structure through behavior—specifically through the act of placing trades.
The Facts: How Humans Influence the Market
Traders interact with the market in only a few meaningful ways:
Placing entries
Setting stop losses
Setting take-profit (target) levels
Though external variables such as news events can impact decision-making, they only affect where we choose to interact with the market—they do not directly move price. Price only responds to order flow , and all order flow originates from trader decisions. Therefore, these three actions—entries, stops, and targets—are the only real mechanisms through which psychology influences price action.
Entry: The Initiator of Market Movement
Entries are typically based on structural cues like engulfing candles or order blocks —price zones where a shift in momentum is visible. These areas act as high-probability triggers that prompt traders to take action in a particular direction.
When enough buy orders are placed at a bullish signal, we see that reflected in the strength and size of bullish candles. Conversely, strong bearish signals generate concentrated sell-side pressure. This collective order flow initiates price movement—entries are the impulse drivers of the market.
Stop Losses: The Creation of Liquidity Pools
Once a position is opened, traders generally place stop losses behind significant structure—often just beyond the order block or engulfing pattern that prompted the entry. These zones become liquidity pools —clusters of pending orders that, when triggered, cause mass exits and reallocation of capital.
When price returns to these zones, it forces traders out of the market, often resulting in sharp movements or false breakouts. This behavior is not coincidental; it is a byproduct of shared psychological behavior manifesting as clustered risk management.
Take-Profits: Delayed Exit Pressure
Alongside stop losses, traders also define target levels where they plan to close their trades. These levels can be calculated based on fixed R-multiples (2R, 3R, etc.) or drawn from contextual zones like previous highs/lows or supply and demand areas.
As price moves into profit and hits these levels, traders begin to exit en masse. This diminishes order flow in the direction of the trade, often leading to hesitation or minor reversals—much like stop losses do when they are hit.
Conclusion: Market Movement vs. Market Stalling
To summarize:
Entries drive market movement
Stop losses and target levels stall or reverse movement
This dynamic defines how human behavior—guided by psychological patterns—actually shapes price. In this framework, engulfments represent entry logic , while liquidity zones represent collective exit logic .
Redefining Trading Psychology
Contrary to popular belief, trading psychology isn’t just about “staying disciplined” or “keeping emotions in check.” While emotional control matters, it’s secondary to understanding how trader behavior creates cause-and-effect loops in price action.
Having a trading plan is important—but deviating from that plan is not always due to emotion alone. It can stem from overconfidence, impulsivity, cognitive bias, or poor conditioning. These are psychological behaviors that affect execution, and thus, affect market movement.
What’s Next
In my next writing, I will explore how the sheer volume of market participants leads to herding behavior —the collective patterns that emerge from mass psychology and their role in creating consolidation zones, liquidity traps, and false breakouts.
Circle’s IPO and the Crypto Listing Wave: The Market EntersOn June 14, 2025, the U.S. stock market witnessed a pivotal moment for the crypto industry. Circle, issuer of the USDC stablecoin and a major player in the sector, successfully went public. Shares opened at $31 and soared to over $134 by the end of the first trading day—an explosive 330% gain.
This isn’t just a one-off success. It marks the beginning of a new chapter: the public crypto era, where leading crypto companies are stepping into the spotlight of traditional finance.
Why It Matters
Circle’s IPO signals the maturation of the crypto market. Just three years ago, crypto companies were seen as high-risk, unregulated tech startups. Now, they’re structured fintech firms with clear business models, institutional backing, and regulatory compliance.
Who’s Next in Line
Following Circle, a wave of major crypto firms is preparing for their own IPOs:
eToro – the social trading platform with crypto features has finalized its SPAC merger and is set to debut on NASDAQ.
Gemini – the exchange founded by the Winklevoss twins filed for an IPO in mid-May.
Galaxy Digital and Ripple – both confirmed listing plans for the second half of 2025.
Kraken is exploring a listing in Europe, where requirements are more flexible than in the U.S.
These companies are waiting for the right moment—regulatory clarity, growing interest in crypto ETFs, and progress in U.S. Congress (with the CLARITY and GENIUS bills gaining momentum).
What It Means for the Industry
Increased Investor Trust – Public companies must disclose financials, pass audits, and comply with regulations. This builds confidence in the broader crypto sector.
Institutional Capital Inflow – IPOs unlock access to capital from pension funds, hedge funds, and asset managers that cannot invest in private crypto startups.
Marketing Power – Going public draws media attention and boosts brand awareness. Every IPO is a PR win for the entire industry.
Risks and Challenges
Regulatory Uncertainty – Despite progress, the SEC could change direction, especially with potential political shifts.
Overvaluation Concerns – Circle’s stock is already raising eyebrows, with a P/E ratio over 200 and trading volume growing faster than revenue.
Crypto Market Dependency – If crypto prices crash, the valuations of these companies could quickly collapse.
What’s Next
Expect up to 10 more crypto IPOs over the next 6–12 months, including players in DeFi, blockchain infrastructure, and Web3. This is the next stage in crypto’s journey toward mainstream legitimacy.
What was once the domain of tech rebels and early adopters is now becoming a business—with a stock ticker and quarterly earnings. And that changes everything.
BTCUSD: Decoding the Price Action Through "Tape Reading"🚀 BTCUSD: Decoding the Price Action Through "Tape Reading" 🚀
Hey Traders,
Let's dive into a "tape reading" analysis of BTCUSD, breaking down the recent price movements and looking ahead. We've seen some fascinating patterns emerge, and understanding them could be key to our next moves.
🔍 A Look Back: The Bullish Flag Formations 🔍
Our journey begins on April 7th, 2025, with the establishment of a strong "Flag Pole" at $74,489.00. This was supported by a robust double bottom, setting the stage for what was to come.
First "Flag" Confirmation: We saw the first "Flag" form, confirmed by a powerful "Hammer" candle on April 20th, 2025. This Hammer, with its unique "bottom-less Marubozu" body, signaled significant underlying strength.
Second "Flag" Confirmation: Another "Flag" emerged, solidified by strong multi-day bottom support around $94,791.00. This resilience suggested continued upward momentum.
The Breakout: On May 8th, 2025, BTCUSD surged, breaking out of its previous patterns and entering a new "flag pole" formation.
Third "Flag" & All-Time High: May 15th, 2025, brought the third "Flag" formation, again supported by a "Hammer" and a bullish Marubozu. This momentum culminated in a breach of the $105,770.00 multi-month price level on May 20th, 2025, breaking the previous all-time high from December 17th, 2024! We then rocketed to a new all-time high of $112,000.
📉 Recent Developments: The Downtrend and Key Levels 📉
Since the all-time high, we've started to experience a shift:
Downtrend Begins: A downtrend initiated around May 22nd, 2025.
High-Low Formations: We observed a second high-low formation on May 27th, 2025, followed by another on June 9th, 2025.
Double Top & Hanging Man: A clear double top formation emerged, further supported by a "Hanging Man" candle on June 10th, 2025.
🔮 What's Next? The Critical Close 🔮
Today's candle close is absolutely paramount! As of now, the candle is still forming, but my current read suggests a potential move to fill the wick of the June 13th, 2025, "Hammer" candle.
The direction BTCUSD takes – North or South – will largely be dictated by how today's candle closes. This will be our prime dominant signal.
Monthly Candle Perspective:
Interestingly, the Monthly candle is showing similar "Flag" patterns. Check out the chart here for a broader perspective:
Let me know your thoughts in the comments below! Are you seeing the same patterns?
Trade safe!
_________________________________________________________________________________
⚠️ Disclaimer: This post is educational content and does not constitute investment advice, financial advice, or trading recommendations. The views expressed here are based on technical analysis and are shared solely for informational purposes. The stock market is subject to risks, including capital loss, and readers should exercise due diligence before investing. We do not take responsibility for decisions made based on this content. Consult a certified financial advisor for personalized guidance.
Iran-Israel Political Tension & End of Crypto marketDo geopolitical tensions truly cause markets to crash or pump?
In a world where financial safety is more fragile than ever, how do traders react?
This analysis dives deep into how pro traders think and act during critical moments.
Hello✌
Spend 3 minutes ⏰ reading this educational material.
🎯 Analytical Insight on Bitcoin:
Bitcoin is experiencing a fear-driven shock amid escalating geopolitical tensions, triggering potential downside volatility toward the $98K level 📉. Despite this risk-off sentiment, the broader market structure remains intact, and I maintain a bullish bias. A recovery from key support zones could pave the way for a renewed breakout above $100K in the mid-term .
Now , let's dive into the educational section,
🧠 Fear, Safety or Opportunity? Trading Psychology in Crisis 🧨
Markets don’t move based on headlines—they move based on how the crowd feels about those headlines. Political tension triggers emotional responses, especially panic selling.
However, experienced traders spot opportunities while others flee.
In such moments, two emotional extremes dominate:
🔸 Fear of losing capital (FUD)
🔸 Greed to seize a rare opportunity (FOMO)
Both are dangerous if uncontrolled. Tools like RSI and Fear & Greed Index (via external APIs) can provide rough estimates of market sentiment and potential turning points.
📊 Practical TradingView Tools for Analyzing Crisis-Driven Markets 🔍
When global tension spikes, the markets reflect collective emotion like a mirror. During uncertain times, smart traders rely on tools that turn raw data into sharp insights. TradingView provides several features that become extremely useful in times of high uncertainty:
1. Crypto Volatility Index Proxy (using ATR + Bollinger Bands)
These indicators help detect when the market is driven more by fear than logic. They show increasing volatility levels as tensions rise.
2. Sentiment Indicators – Funding Rate & Long/Short Ratios
These metrics, pulled from major exchanges, show whether traders are overly bullish or bearish. A sudden imbalance usually hints at insider expectations or fast-breaking news.
3. DXY and Gold (XAUUSD) Side-by-Side with BTC
Analyzing Bitcoin’s performance alongside USD and gold gives insight into whether investors are going risk-off or seeking crypto as a hedge.
4. Volume-Based Indicators – OBV & Volume Profile
While headlines can lie, volume doesn’t. These tools highlight areas of serious buying/selling interest and help identify where smart money enters or exits.
5. Multi-Chart Layout Feature
TradingView allows you to analyze multiple assets together—BTC, gold, oil, and stock indices like S&P 500—on one screen. Perfect for understanding macro capital flow during geopolitical events.
💣 Interconnected Markets During Regional Conflict 🌍
Crypto often acts like a risk-on asset during global crises. If traditional markets fall, Bitcoin may follow—unless it’s being viewed as a safe haven.
That’s why watching DXY, gold, and oil charts alongside BTC is crucial.
Understanding these correlations using TradingView’s comparison features gives you a better sense of where capital is flowing during uncertain times.
⏳ What Traders Should Focus on in Crisis Mode 💼
1. Focus on chart confirmations, not news hype.
2. Use multi-dimensional analysis with TradingView.
3. Prioritize risk management more than ever.
4. Cash is a position. Sometimes the best move is no move.
5. Always have a backup scenario—no analysis is guaranteed.
📌 Final advice:
When headlines play with your nerves, data becomes your best ally.
With the right tools and a disciplined mindset, traders can navigate even the stormiest markets with confidence.
The market rewards the calm, not the reckless.
✨ 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.
Wyckoff Up-Thrust - This is how to identify using Speed indexClassic Wyckoff Up-Thrust formation, this is how to read it using Speed Index (annotations in sync with the chart):
1. Fib Area - this is where sellers might come in
2. FU - Fast Up wave with SI 0.4F
3. Next up wave with an abnormal SI of 1.0S while the average speed at 0.5, which means price has a hard time to move up (more sellers on the up move). Following the up wave on the down move we have double Short signals WU-Wyckoff Up-Thrust and PRS-Plutus Reversal Short and this where we enter.
I hope this was helpful. Enjoy!
Learn 6 Common Beginner Trading Mistakes (FOREX, GOLD)
In the today's post, we will discuss very common beginner's mistakes in trading that you should avoid.
1. No trading plan 📝
That is certainly the TOP 1 mistake. I don't know why it happens but 99% of newbies assume that they don't need a trading plan.
It is more than enough for them to watch a couple of educational videos, read some books about trading and Voilà when a good setup appears they can easily recognize and trade it without a plan.
Guys, I guarantee you that you will blow your trading account in maximum 2 months if you keep thinking like that. Trading plan is the essential part of every trading approach, so build one and follow that strictly.
2. Overtrading 💱
That mistake comes from a common newbies' misconception: they think that in order to make money in trading, they should trade a lot. The more they trade, the higher are the potential gains.
The same reasoning appears when they choose a signal service: the more trades a signal provider shares, the better his signals are supposed to be.
However, the truth is that good trades are very rare and your goal as a trader is to recognize and trade only the best setups. While the majority of the trading opportunities are risky and not profitable.
3. Emotional trading 😤
There are 2 ways to make a trading decision: to make it objectively following the rules of your trading plan or to follow the emotions.
The second option is the main pick of the newbies.
The intuition, fear, desire are their main drivers. And such an approach is of course doomed to a failure.
And we will discuss the emotional trading in details in the next 2 sections.
4. Having no patience ⏳
Patience always pays. That is the trader's anthem.
However, in practice, it is extremely hard to keep holding the trade that refuses to reach the target, that comes closer and closer to a stop loss level, that stuck around the entry level.
Once we are in a trade, we want the price to go directly to our goal without any delay. And the more we wait, the harder it is to keep waiting. The impatience makes traders close their trades preliminary, missing good profits .
5. Greed 🤑
Greed is your main and worst enemy in this game.
It will pursue you no matter how experienced you are.
The desire to get maximum from every move, to not miss any pip of profit, will be your permanent obstacle.
Greed will also pursue you after you close the profitable trades. No matter how much you win, how many good winning trades you catch in a row, you always want more. And that sense main lead you to making irrational, bad trading decision.
6. Big Risks 🛑
Why to calculate lot size for the trade?
Why even bother about risk management?
These are the typical thoughts of the newbies.
Newbie traders completely underestimate the risks involved in trading and for that reason they are risking big.
I heard so many times these stories, when a trading deposit of a trader is wiped out with a one single bad trade.
Never ever risk big, especially if you just started.
Start with a very conservative approach and risk a tiny little portion of your trading account per trade.
Of course there are a lot more mistakes to discuss.
However, the ones that I listed above at the most common
and I am kindly recommending you to fix them before you start trading with a substantial amount of money.
❤️Please, support my work with like, thank you!❤️
I am part of Trade Nation's Influencer program and receive a monthly fee for using their TradingView charts in my analysis.
Intraday Gold Trading System with Neural Networks: Step-by-Step________________________________________
🏆 Intraday Gold Trading System with Neural Networks: Step-by-Step Practical Guide
________________________________________
📌 Step 1: Overview and Goal
The goal is to build a neural network system to predict intraday short-term gold price movements—typically forecasting the next 15 to 30 minutes.
________________________________________
📈 Step 2: Choosing Indicators (TradingView Equivalents)
Key indicators for intraday gold trading:
• 📊 Moving Averages (EMA, SMA)
• 📏 Relative Strength Index (RSI)
• 🌀 Moving Average Convergence Divergence (MACD)
• 📉 Bollinger Bands
• 📦 Volume Weighted Average Price (VWAP)
• ⚡ Average True Range (ATR)
________________________________________
🗃 Step 3: Data Acquisition (Vectors and Matrices)
Use Python's yfinance to fetch intraday gold data:
import yfinance as yf
import pandas as pd
data = yf.download('GC=F', period='30d', interval='15m')
________________________________________
🔧 Step 4: Technical Indicator Calculation
Use Python’s pandas_ta library to generate all required indicators:
import pandas_ta as ta
data = ta.ema(data , length=20)
data = ta.ema(data , length=50)
data = ta.rsi(data , length=14)
macd = ta.macd(data )
data = macd
data = macd
bbands = ta.bbands(data , length=20)
data = bbands
data = bbands
data = bbands
data = ta.atr(data , data , data , length=14)
data.dropna(inplace=True)
________________________________________
🧹 Step 5: Data Preprocessing and Matrix Creation
Standardize your features and shape data for neural networks:
from sklearn.preprocessing import StandardScaler
import numpy as np
features =
scaler = StandardScaler()
data_scaled = scaler.fit_transform(data )
def create_matrix(data_scaled, window_size=10):
X, y = ,
for i in range(len(data_scaled) - window_size - 1):
X.append(data_scaled )
y.append(data .iloc )
return np.array(X), np.array(y)
X, y = create_matrix(data_scaled, window_size=10)
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🤖 Step 6: Neural Network Construction with TensorFlow
Use LSTM neural networks for sequential, time-series prediction:
import tensorflow as tf
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import LSTM, Dense, Dropout
model = Sequential( , X.shape )),
Dropout(0.2),
LSTM(32, activation='relu'),
Dense(1)
])
model.compile(optimizer='adam', loss='mse')
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🎯 Step 7: Training the Neural Network
history = model.fit(X, y, epochs=50, batch_size=32, validation_split=0.2)
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📊 Step 8: Evaluating Model Performance
Visualize actual vs. predicted prices:
import matplotlib.pyplot as plt
predictions = model.predict(X)
plt.plot(y, label='Actual Price')
plt.plot(predictions, label='Predicted Price')
plt.xlabel('Time Steps')
plt.ylabel('Gold Price')
plt.legend()
plt.show()
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🚦 Step 9: Developing a Trading Strategy
Translate predictions into trading signals:
def trade_logic(predicted, current, threshold=0.3):
diff = predicted - current
if diff > threshold:
return "Buy"
elif diff < -threshold:
return "Sell"
else:
return "Hold"
latest_data = X .reshape(1, X.shape , X.shape )
predicted_price = model.predict(latest_data)
current_price = data .iloc
decision = trade_logic(predicted_price, current_price)
print("Trading Decision:", decision)
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⚙️ Step 10: Real-Time Deployment
Automate the model for live trading via broker APIs (pseudocode):
while market_open:
live_data = fetch_live_gold_data()
live_data_processed = preprocess(live_data)
prediction = model.predict(live_data_processed)
decision = trade_logic(prediction, live_data )
execute_order(decision)
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📅 Step 11: Backtesting
Use frameworks like Backtrader or Zipline to validate your strategy:
import backtrader as bt
class NNStrategy(bt.Strategy):
def next(self):
if self.data.predicted > self.data.close + threshold:
self.buy()
elif self.data.predicted < self.data.close - threshold:
self.sell()
cerebro = bt.Cerebro()
cerebro.addstrategy(NNStrategy)
# Add data feeds and run cerebro
cerebro.run()
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🔍 Practical Use-Cases
• ⚡ Momentum Trading: EMA crossovers, validated by neural network.
• 🔄 Mean Reversion: Trade at Bollinger Band extremes, validated with neural network predictions.
• 🌩️ Volatility-based: Use ATR plus neural net for optimal entry/exit timing.
________________________________________
🛠 Additional Recommendations
• Frameworks: TensorFlow/Keras, PyTorch, scikit-learn
• Real-time monitoring and risk management are crucial—use volatility indicators!
________________________________________
📚 Final Thoughts
This practical guide arms you to build, deploy, and manage a neural network-based intraday gold trading system—from data acquisition through backtesting—ensuring you have the tools for robust, data-driven, and risk-managed trading strategies.
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It Wasn’t on a Chart. It Was in My JournalYou don’t become consistent by learning more setups. You become consistent by learning more about yourself.
✍️ The Day I Started Journaling, I Stopped Guessing
I used to chase charts like they owed me something.One moment I was confident. The next, I was doubting everything, not because the market betrayed me, but because I wasn’t keeping track of who I was becoming .
Then I started journaling.
Not just logging wins and losses, but writing what I felt, what I saw, where I rushed, and why I broke my own rules. It changed everything.
What Journaling Gave Me (That Charts Alone Couldn’t)
1. Clarity Over Chaos
Every trade became a lesson. I stopped reacting and started reviewing.
2. Accountability Over Emotion
Writing “I entered out of fear of missing out” hits different when you see it five times in a row. I couldn’t lie to myself anymore.
3. Discipline Over Drama
No more revenge trades. No more “just one more” trades. Journaling made me pause, and that pause saved me more than any setup ever could
It’s Not Just a Journal. It’s a Mirror.
Most traders document price. Few document themselves. And yet that’s where the edge lives, not in more indicators, but in more self-awareness.
My Advice to Any Trader Trying to Break Through
Don’t just journal for results . Journal to understand who you are in the market. Your wins will mean more, and your losses will teach more. And if you're consistent with it, your growth won’t just be measurable. It’ll be undeniable.
The best setups won’t save you if your mindset is undisciplined.And the best mentors can’t help you if you don’t study your own patterns.
Journaling isn’t just about logging trades.It’s about documenting your evolution as a trader, from reactive to intentional, from hopeful to professional. So, if you’re serious about growth: Don’t just screenshot your wins, start writing your journey. That’s where the edge really begins.