Beyond Technical Analysis
Current USD/JPY Trend Analysis and Trading RecommendationsOn Wednesday, the USD/JPY attracted buyers for the second consecutive day, trading near 145.20 in the early European session, close to a two-week high. Japan's May CGPI rose 3.2% YoY, the slowest pace since September last year, potentially easing BOJ rate hike pressure and weakening the JPY. Additionally, optimism over a framework agreement in U.S.-China trade talks dented the JPY's safe-haven appeal. Technically, the price holds above the 200-period SMA on the 4-hour chart and breaches the 145.00 psychological level, with oscillators tilting bullish. A valid break above 145.30 (Tuesday's high) would confirm the bullish setup, targeting the 146.00 integer mark and 146.25-146.30 resistance zone.
USDJPY
buy@145.000-145.200
tp:145.600-146.000
WTI on high time frame , price reach 60$?
"Hello friends, focusing on WTI, the price is currently in a bullish trend on the daily time frame. During the last NY session, the price swept liquidity in the $66 zone and faced a strong rejection. Considering both technical analysis and fundamental news, I believe the price is gearing up for a decline, with the initial target likely around $60."
If you need further clarification or have more details to discuss, feel free to share!
Mastering Liquidity Dynamics: Understand the Dynamic True ValueDear Reader,
Thank you for reading—your time is valuable.
Use the chart's zoom-in/out (-/+) function for better visibility. This chart captures a large sample for your evaluation.
Below is the manual detailing the Smart Farmer System —a Dynamic True Value framework derived from real-time data to anticipate market intent and liquidity behavior .
If this resonates with you, drop a comment below— constructive insights are always welcome .
The Dynamic True Value - a Smart Farmer System: Terminology and Mechanics
: For now, I have firmed up POC - Price of Control, VAP - Value Average Pricing, SULB - Sell Upper Limit Bound, BLLB - Buy Lower Limit Bound.
Mechanic:
POC - Where fair value price dynamic is read.
VAP - Trading above indicates bullish sentiment of the cycle, and the opposite for bearish sentiment.
A crossed over of:
Grey POC above Green VAP - Signaling distribution, accumulation, consolidation, build-ups, correction, retracement .
Green VAP above Grey POC - Bullish strength and momentum consistency .
Pink VAP above Black POC - Bearish strength and momentum consistency .
Flip of Pink VAP to Green VAP - Sentiment flips from bear to bull, and the same goes for green flip to pink showing bull to bear.
Validation of entry signals requires:
Signal's candle must close past the opposite side of POC – flip sentiment .
The confirmation candle (is the closed next candle immediately after entry signal candle) must continue closed past the POC – maintain sentiment .
The progress candle (is the next candle closed right after the Confirmation Candle) shows traction, momentum build-up, and volume consistency .
Hint of invalidation:
Signal's candle is considered void if the next candle prints a new entry signal in the opposite direction. This often signals accumulation, sideways movement, build-up, uncertainty, or swings in range .
The immediate next candle closed past POC to the opposite side.
What to understand about Liquidity Trap, SULB, and BLLB:
Liquidity traps
Often occur at the recent/previous flatlines of Dynamic True Value (POC, VAP, SULB, BLLB) .
It is worth paying attention to the market’s intent and institutional positioning.
Signs of exhaustion, absorption, inducement, offloading, and accumulation are visible in the M1 (one-minute) TF, with significant confluence near the previous/recent flatlines of Dynamic True Value in the higher/macro-TFs.
An Anchored VWAP tool can be helpful for filtering noise in the market. This tool can be found in the drawing tab in the TradingView platform.
SULB
Details the dynamic of upper resistance where Bears remain in control below the dynamic level.
Below this limit bound (LB) , bears show strength – bear sentiment .
A converging price toward this LB indicates bulls are present.
Moving past this LB (a candle closed above) and successfully RETESTING newly formed support indicates a confirmed directional shift . Followed by printing a new BLLB in the next following candles with price continuing to rise above this failed SULB.
A rejection below LB (a rejection/exhausted candle closed below LB) and successful RETEST reaffirms the resistance holds , indicating downside continuation .
BLLB
Details the dynamic of lower support where Bulls remain in control above the dynamic level.
Above this LB, bulls show strength – bull sentiment .
A converging price toward this LB signifies bears are present.
Moving past this LB (a candle closed below) and successfully RETESTING newly formed resistance indicates a confirmed directional shift . Followed by printing a new SULB in the next following candles with price continuing to push lower below this failed BLLB.
A rejection above LB (a rejection/exhausted candle closed above LB) and successful RETEST reaffirms the support holds , indicating upward continuation .
Important Notes:
Select preferred Entry’s Signal TF (ex. M3 TF, M5 TF for scalping strategy, M15 for intraday/daily strategy, 4H TF for day-to-weekly strategy, etc.).
Always refer to the selected Entry’s TF for trading progress. Anticipate TP and SL by watching the range in this TF.
Non-entry TFs are not for entry purposes. These multi-TFs are used for measuring strength, momentum, liquidity, positioning, structure – The market intends . The Non-entry TF is used to anticipate institutional executions and liquidity pools.
These criteria MUST BE MET. A failed criterion suggests vague execution. Be patient and wait for clear validations.
Institutions excel in creating illusions.
SFS is designed to stand ready, calm, and execute with Clarity.
SFS cuts through noise, distraction, and stays independent of NEWS, GEOPOLITIC, RUMORS, and herd mentality because all these are designed to mislead retail traders into institutional traps.
When we see such ambiguity against the criteria, we know not to fall into the TRAP and become the liquidity FUEL.
Stay sharp, only respond when signals are firmed. SFS is designed to counter Smart Money capitalism. It is about time to level the playing field.
Differences Between Trading Stock Market and Coin Market
Hello, traders.
If you "Follow", you can always get new information quickly.
Have a nice day today.
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Please read with a light heart.
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Trading stock market and coin market seem similar, but they are very different.
In stock market, you have to buy and sell 1 share at a time, but in coin market, you can buy and sell in decimals.
This difference makes a big difference in buying and selling.
In the stock market, you should buy when the price is rising from a low price if possible.
The reason is that since you buy in units of 1 week, you have to invest more money when you sell and then buy to buy 1 week.
I think the same goes for the coin market, but since you can buy in decimal units, you have the advantage of being able to buy at a higher price than when you buy in the stock market.
For example, if you sell and then buy again at the same price, the number of coins (tokens) will decrease, but there will be no cases where you can't buy at all.
Therefore, the coin market is an investment market where you can trade at virtually any price range.
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In terms of profit realization, the stock market can only be traded in a way that earns cash profits.
The reason is that, as I mentioned earlier, since you have to trade in units of 1 week, there are restrictions on trading.
However, in the coin market, in addition to the method of earning cash profits, you can also increase the number of coins (tokens) corresponding to the profits.
The biggest advantage of increasing the number of coins (tokens) corresponding to profit is that you can get a large profit in the long term, and the burden of the average purchase price when conducting a transaction is reduced.
When the price rises by purchase price, if you sell the purchase amount (+ including the transaction fee), the coins (tokens) corresponding to profit will remain.
Since these coins (tokens) have an average purchase price of 0, they always correspond to profit even if there is volatility.
In addition, even if the price falls and you buy again, the average purchase price is set low, so it plays a good role in finding the right time to buy and starting a transaction.
Of course, when the number of coins (tokens) corresponding to profit is small, it does not have a big effect on the average purchase price, but as the number increases, you will realize its true value.
You can also get some cash when you increase the number of coins (tokens) corresponding to profit.
When selling, if you add up the purchase price + transaction fee X 2~3, you can also get some cash profit.
If you get cash profit, the number of coins (tokens) remaining will decrease, so you can adjust it well according to the situation.
When the profit is large, increase the cash profit slightly, and when you think the profit is small, decrease the cash profit.
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Therefore, when you first move from the stock market to the coin market and start trading, you will experience that the trading is not going well for some reason.
In the stock market, there are some restrictions on the rise and fall, but in the coin market, there are no restrictions, so it is not easy to respond.
However, as I mentioned earlier, the biggest problem is the difference in the transaction unit.
When trading in the stock market, you need to check various announcements and issues in addition to the chart and determine how this information affects the stock or theme you want to trade.
This is because trading is not conducted 24 hours a day, 365 days a year like the coin market.
This is because if an announcement or issue occurs during a non-trading period, the stock market may rise or fall significantly when trading begins.
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When using my chart on a stock chart, the basic trading strategy is to buy near the HA-Low indicator and sell near the HA-High indicator.
However, if you want to buy more, you can buy more when the M-Signal of the 1D chart > M-Signal of the 1W chart, and it shows support near the M-Signal indicator of the 1W chart.
In the stock chart, it is recommended to trade when the M-Signal indicators of the 1D, 1W, and 1M charts are aligned.
The reason is that, as I mentioned earlier, trading must be done in 1-week units, so the timing of the purchase is important.
In the coin chart, you can actually trade when it shows support at the support and resistance points.
However, since trading is possible 24 hours a day, 365 days a year, even if it shows support at the support and resistance points, psychological anxiety due to volatility increases, so it is recommended to proceed with trading according to the basic trading strategy.
The creation of the HA-Low indicator means that it has risen from the low range, and the creation of the HA-High indicator means that it has fallen from the high range.
Therefore, if it shows support near the HA-Low indicator, it is likely to rise, and if it shows resistance near the HA-High indicator, it is likely to fall.
However, on the contrary, if it is supported and rises at the HA-High indicator, it is likely to show a stepwise rise, and if it is resisted and falls at the HA-Low indicator, it is likely to show a stepwise fall.
In order to confirm this movement, you need to invest a lot of time and check the situation in real time.
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Thank you for reading to the end.
I hope you have a successful transaction.
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XAU/USD MMC Analysis – Structure Flip, Trendline + Target Zone📊 Market Sentiment and Price Structure Overview:
Gold has been navigating a highly structured range with multiple clear zones of support and resistance that have now started to break down in favor of a short-term bullish trend. The chart reflects a transition from a bearish descending channel to a potential bullish continuation pattern.
Today’s analysis is centered around three core ideas:
Market Structure Shift (Break of structure)
Support/Resistance Interchange (horizontal + channel)
Trendline Dynamics (bullish control)
Each of these plays a key role in shaping trade bias and decision-making.
🧱 1. Straight SR Interchange Zone (Key Historical Level):
Marked on the left side of the chart, this level has acted as both support and resistance over the last several days. Traders call this a “flip zone” — price often bounces off this area multiple times as buyers and sellers wrestle for dominance.
✅ Multiple touches indicate institutional interest.
🔄 This zone adds confluence to other structure zones, increasing its strength.
🧲 Price currently hovers near this level, suggesting indecision or a setup for a larger move.
📉 2. Descending Channel SR Flip – Confirmation of Shift:
The descending green channel served as a dynamic resistance over multiple sessions. Price remained below it during the previous downtrend. However, a breakout occurred, followed by a successful retest, turning it into support — a textbook bullish structure flip.
This move was also a signal of trend reversal, which was followed by higher lows and a shift in price behavior.
📈 3. Upward Trendline – Short-Term Bullish Control:
A diagonal ascending trendline is forming beneath price action, supported by multiple rejection wicks and higher lows (marked in blue). This shows that buyers are stepping in earlier, absorbing selling pressure.
🔁 Each touch confirms strength.
📉 A break below this line could signal weakness or trend exhaustion.
Watch closely — this line becomes your dynamic support and invalidation point for any long positions.
🔄 4. Major BOS (Break of Structure) – Trend Change Confirmed:
We’ve seen a clean break of structure above previous swing highs — this is key in market structure analysis. When a lower high is invalidated by a higher high, it often marks a trend reversal.
This BOS now acts as a major support area. As long as price remains above this zone, bullish continuation is favored.
🚨 5. Reversal Zone in Sight – Potential Resistance Ahead:
Highlighted as “Next Reversal” in the chart, this area around $3,360–$3,370 is a confluence of:
Past resistance
Mid-channel region
Psychological round numbers
Price is nearing this level, and we may see a temporary pullback or rejection before any further continuation.
🎯 Trading Plan:
🔵 BULLISH SCENARIO (Base Case):
🟢 Entry: On a retest of trendline or BOS zone ($3,330–$3,340)
🛡️ SL: Below $3,325
🎯 TP1: $3,360
🎯 TP2: $3,390
🧠 Reasoning: Structural shift confirmed, trendline respected, SR flip confluence.
🔴 BEARISH SCENARIO (Counter-Play):
🔴 Entry: At rejection from $3,365–$3,370 zone (reversal box)
🛡️ SL: Above $3,380
🎯 TP1: $3,345
🎯 TP2: $3,330
🧠 Reasoning: Reversal from resistance zone, potential trap setup, fading exhausted move.
📌 Summary:
Gold is in a key decision phase after a major structural flip. The battle between bulls and bears is now centered around the trendline and next resistance zone. As always, patience and confirmation will be key.
Trendline = dynamic support
BOS zone = structural support
Reversal area = possible short-term ceiling
💡 Best trades will come from reactions, not predictions.
🚀 Stay Updated:
Follow this idea for live updates as price reacts to these zones. If we break and hold above the reversal box, expect bullish continuation. Otherwise, watch for potential trap plays and short-term pullbacks.
gold on short buy#XAUUSD price have been multiple retesting and continuation on bullish, now we expect price to hit 3362-3364 for bearish.
Buy limit at 3342.5, SL 3335, TP 3362-3364.
Above 3349 holds bullish range also.
Above the rectangle 3362-3364 holds bearish reversal.
If H1 closes below 3332 then bearish is active also
Oracle Financial Outlook and Strategic Analysis (June 2025)
📈 Robust Growth Amid Strategic Shifts
Oracle Corporation has solidified its position as a leader in enterprise software and cloud infrastructure, with a strategic pivot toward AI and cloud computing. Over the past five years (2020–2024), Oracle has shown consistent financial growth, driven by its Oracle Cloud Infrastructure (OCI) and recurring revenue streams. Key financial metrics from 2024 highlight its strength:
Revenue Growth: From $39.07B in 2020 to $52.96B in 2024, Oracle has achieved a CAGR of ~7.9%, fueled by cloud subscriptions and software support contracts.
Net Income Surge: Net profits reached $10.467B in 2024, up 23% from 2023 ($8.50B), reflecting improved operational efficiency.
Free Cash Flow (FCF): Oracle generated $11.807B in FCF in 2024 (from $9.62B in 2020), with a 22% FCF margin, showcasing its ability to fund investments while returning value to shareholders.
EBITDA Margin: At 28.08% in 2024 (up from 26.5% in 2020), Oracle maintains strong profitability.
Return on Equity (ROE): A remarkable 120% in 2024, driven by a low equity base due to aggressive stock buybacks.
Shareholder Returns: Oracle paid $2.44/share in dividends and repurchased significant shares, with buybacks reducing equity from $12.72B in 2020 to $8.704B in 2024.
The company’s growth is anchored in its recurring revenue model (~70–75% of revenue from software licenses, support, and cloud subscriptions) and its aggressive expansion into AI-driven cloud services, positioning it to compete with industry giants.
🌍 Global Exposure and Currency Tailwinds
Oracle’s 45–50% international revenue (Europe ~25%, Asia ~15–18%) provides a hedge against US-specific economic pressures. A weaker US dollar boosts reported revenues when converting foreign earnings:
In 2022–2023, a strong USD caused FX headwinds of $1.3B–$1.6B, reducing reported revenue.
In 2024, stabilizing currencies (EUR, JPY) neutralized these effects, enhancing margins.
Long-term contracts (often 5+ years) lock in pricing in local currencies, ensuring stable cash flows even in volatile FX environments.
This global diversification, combined with multi-year deals in healthcare, government, and defense, reduces Oracle’s exposure to trade tariffs and supports its resilience in economic uncertainty.
⚠️ Critical Challenges and Risks
Despite its financial strength, Oracle faces significant hurdles that could derail its trajectory if not addressed:
1. Heavy Leverage and Liquidity Constraints
Oracle’s balance sheet is heavily leveraged, with historical trends showing increasing debt:
Total Debt: Grew from $69.23B in 2020 to $86.869B in 2024, driven by acquisitions (e.g., Cerner) and cloud investments.
Debt-to-Equity Ratio: Improved from negative equity (-$2.14B in 2022) to 9.98x in 2024, but remains alarmingly high.
Net Debt/EBITDA: At 5.12x in 2024 (up from ~3.5x in 2020), Oracle’s leverage is above investment-grade comfort levels (3x).
Liquidity: A cash ratio of 0.34 and current ratio of 0.72 indicate limited ability to cover short-term obligations, with $10.661B in cash dwarfed by debt.
ROIC vs. WACC: Oracle’s ROIC of 8% is below its WACC of 9.2%, signaling value destruction if investments don’t yield higher returns.
2. Critical Dependence on NVIDIA GPUs
Oracle’s AI strategy hinges on NVIDIA H100 GPUs for its OCI Superclusters, used for training and running large language models (LLMs). Key details:
Strategic Partnership: Oracle collaborates with NVIDIA to deliver AI cloud services to sectors like banking (e.g., JPMorgan for risk modeling), healthcare (e.g., Mayo Clinic for diagnostics), and AI startups (e.g., Cohere, Mistral AI). These deals are multi-year but early-stage, with revenues (~$1B in 2024) not yet covering costs.
Cost Burden: NVIDIA GPU costs are estimated at $1–2B annually, contributing to Oracle’s $6.866B CapEx in 2024. Supply constraints and rising H100 prices (up ~20% since 2023) increase financial pressure.
Limited Alternatives:
AMD MI300 GPUs: Oracle is testing these, but they lag in performance for large-scale AI training.
Intel Gaudi2: Suitable for inference but not training, limiting scalability.
In-house Accelerators: Unlike Google (TPUs) or Meta, Oracle lacks proprietary AI hardware, locking it into NVIDIA dependency.
Risk: If NVIDIA raises prices further or supply tightens, Oracle’s margins could shrink, especially since cloud pricing is locked in long-term contracts.
3. Premium Valuation
P/E Ratio: At 48.11x, Oracle trades at a significant premium to the S&P 500 (~25x).
P/B Ratio: 56.34x reflects a disconnect from its book value ($3.16/share).
P/FCF Ratio: 15x+ suggests the stock is not cheap, limiting upside unless AI/cloud growth accelerates.
📊 Competitive Landscape: Oracle vs. AWS, Azure, Google Cloud
Oracle’s OCI competes with AWS, Microsoft Azure, and Google Cloud, but trails in market share and AI maturity. A comparative analysis highlights Oracle’s position:
Metric
Cloud Revenue (2024)
YoY Growth
Market Share
AI Capabilities
Operating Margin
Strength
Weakness
Oracle’s Edge: OCI’s 50% YoY growth outpaces competitors, driven by enterprise deals in regulated industries (e.g., healthcare, government). Its hybrid cloud solutions appeal to clients needing on-premises integration.
Gaps: Oracle’s 2–3% market share lags far behind AWS (31%) and Azure (20%). Its AI offerings rely heavily on NVIDIA, unlike AWS (in-house chips) or Google (TPUs). Azure’s OpenAI partnership gives it a lead in generative AI.
Google Cloud Comparison: Like Oracle, Google Cloud is a late mover but benefits from proprietary TPUs and stronger AI R&D. Oracle’s higher margins (29% vs. 17%) give it a financial edge, but Google’s innovation pace is faster.
Oracle must scale its AI services and diversify GPU sources to close the gap with these giants.
📉 Historical Resilience and Recession Risks
Oracle’s recurring revenue model has historically cushioned it during downturns:
2008–2009 Recession: Revenues dipped slightly (~2%), but profits held steady due to software support contracts.
COVID-19 (2020): Revenues grew to $39.07B, and Oracle accelerated cloud investments, unlike competitors who cut back.
2022–2023 Inflation: Despite FX headwinds, Oracle increased CapEx to $8B+, doubling down on data centers.
However, its current high leverage and CapEx intensity make it more vulnerable in a recession:
Reduced enterprise IT spending could slow new cloud deals.
High debt servicing costs ($86.9B) could strain liquidity if FCF drops below $5B.
NVIDIA costs and locked-in cloud pricing could squeeze margins if demand falters.
📊 Future Outlook: Earnings Drivers and Catalysts
Oracle’s 19.76% earnings growth in 2024 is driven by:
Cloud and AI Expansion: OCI’s ~50% YoY growth and $60B+ in contracted revenue (multi-year deals) ensure stable cash flows.
Global Diversification: International revenue and a weaker USD could boost margins by 2–3% by 2027.
AI Scale-Up: If AI revenues reach $5B+ by 2026 (from $1B in 2024), margins could expand significantly.
Catalysts:
Enterprise AI Deals: Scaling partnerships (e.g., JPMorgan, Mayo Clinic) could drive revenue.
Debt Refinancing: Lower interest rates could reduce debt costs, freeing up FCF.
Buybacks/Dividends: Continued shareholder returns support stock stability.
Risks:
NVIDIA Dependency: Rising GPU costs or supply issues could erode margins.
Recession Pressure: A deep downturn could test Oracle’s liquidity, despite its recurring revenue buffer.
Competition: AWS, Azure, and Google Cloud’s scale and innovation threaten Oracle’s market share.
🛠️ Strategic Recommendations
Buy-the-Dip: Purchase below $140/share (fair value $140–$200) for a margin of safety.
Monitor NVIDIA: Track Oracle’s GPU diversification efforts and AI deal closures to assess cost coverage.
Interest Rates: A decline in rates could ease debt pressure; rising rates would exacerbate risks.
Long-Term Play: Oracle’s AI and cloud pivot requires patience, with significant returns likely post-2026.
📌 Conclusion
Oracle is a financial powerhouse with strong growth, robust FCF, and a strategic focus on AI and cloud. Its global exposure and long-term contracts provide stability, but high debt, premium valuation, and NVIDIA dependency pose risks. In a recession, Oracle’s resilience will be tested, but its recurring revenue offers a buffer. For long-term, risk-tolerant investors, Oracle is a compelling opportunity, especially at a discount.
"Crypto Charts Whisper—Are You Listening?"As I’ve mentioned before, the market is manipulated. In a previously published idea, “VSA vs BTC: Into a Bearish Scenario or Not?”, this manipulation becomes obvious. The big players—whales, institutions, banks—are deliberately engineering traps to absorb liquidity from uninformed retail traders, boosting their profits and power.
Some informed retail traders like you and me understand that behind these entities are teams of insiders and highly trained traders operating around the clock—24/7, 365 days a year. That’s what it takes to survive in such a demanding environment.
This is especially true in the crypto market, which—despite its explosive growth—is still a baby in terms of total market cap. That’s why price fluctuations are so extreme, whether it’s Bitcoin, Ethereum, or altcoins.
Many of you who have been in the space since the early days already know: Bitcoin is the king. As the first coin built on cryptography, Bitcoin leads the way—and where it goes, altcoins follow. These movements often align with changes in Bitcoin Dominance.
So, yes, Bitcoin is the king—but its movements aren’t random. Bitcoin follows rules, and these rules are shaped by data—especially macroeconomic data. One major example is the Consumer Price Index (CPI), released monthly by the U.S. Department of Labor and Statistics.
And here's the key: the big players often have early access to this kind of information. They prepare accordingly—days before the official release—and when the data hits, they move the markets up or down. Even whales don’t act on gut feelings. They follow a framework.
We, as retail traders, must adopt a similar approach. We may not have insider access, but we do have knowledge—and with an open mind, we can act in advance.
As I’ve emphasized before: learning to read Market Structure lets you decode not just market psychology, but also the intentions of the big players. Their large positions leave footprints, just like a ship cuts a path through water. That trail is visible—for those who know where to look.
If you study volume correctly, you’ll start to notice certain zones that keep coming back. That’s all I’ll say—for now.
Unfortunately, many traders rely blindly on strategies like swing trading, expecting price to react at predefined swing highs or lows. But this rarely happens on schedule—especially in crypto. Yes, swing highs and lows exist—that’s the nature of all markets—but in between those levels, the big players create hidden structures that act as signals.
These aren’t just random formations—they’re part of how the big players "communicate" with one another. First, to maintain balance within their own circles. Second, to create FOMO and trap emotional retail participants.
Look at the SHIBA INU chart I’ve shared. This technique is unfolding in real time. Do you notice how the structure is compressing? How price and new swing levels are squeezing in? Look closer at the footprints I’ve highlighted—some of those levels are being respected and reused in the future.
We’re taught from childhood that "we can’t know the future." But is that really true? Repetition of such beliefs is common—worldwide. But again, is it true? I think not.
Think about this: if you drive a car full-speed toward a wall and don’t brake, what happens? You crash. Isn’t that a form of future reading? It’s based on logic, observation, and probability. The same tools we use in market analysis.
So, I hope my words challenge your thinking.
📅 As of this writing (June 11, 2025), Bitcoin is trading at $109,588.
Today’s candle still has about 17 hours left to form, and price action on the daily timeframe is sitting within a previously established supply zone. Bulls and bears are clashing here. But zoom in: what's happening on the lower timeframes? Which signals have been tested, and which haven't?
Are we about to see a breakthrough above the all-time high?
Could this be the launch of the next leg of the bull run?
CRYPTO CORRELATION WITH DXYThe U.S. Dollar Index (DXY) is probing 99-100—the same lower-rail support of its 14-year ascending channel that caught the 2011, 2015 and 2021 inflection points and launched the 2016 and 2022 dollar surges
macrotrends.net
forex.com
. History shows that when the dollar sinks beneath this zone (April 2017 and June 2020) Bitcoin has ripped 10-fold or more within months
cointelegraph.com
, whereas a sharp bounce from here (September 2022 above 110) coincided with BTC’s plunge to the cycle low near $16 k
forex.com
coindesk.com
. The macro backdrop currently favours at least a reflex rally: the Fed’s latest survey and dot-plot point to “higher-for-longer” policy with only two cuts pencilled in for 2025
reuters.com
finance.yahoo.com
, 10-year Treasuries still yield about 4.7 %—a near-cycle high that supports dollar carry demand
wsj.com
, and U.S. growth has just been revised up to 2.7 % for 2025 while euro-area PMIs languish in contraction and the ECB is already easing
mdm.com
ecb.europa.eu
. Add in lingering negative BTC-DXY correlation metrics
coindesk.com
and the structural importance of the psychologically charged 100 level, and this pivot becomes a practical timing gauge: a sustained break below 99 would clear the way for the next broad crypto bull-phase, whereas a confirmed dollar rebound warns that any exuberance in digital assets could mark a cyclical top.
Market Moves Ahead? | DXY, Gold, and Bitcoin 📊 The markets are on edge—and this week’s economic data could trigger major moves in the US Dollar Index (DXY), Gold (XAU/USD), and Bitcoin (BTC/USD).
In this video, we break down:
✅ The latest CPI inflation expectations
✅ Fed interest rate outlook and Trump’s pressure on rate cuts
✅ U.S.–China trade negotiations and what they mean for global risk sentiment
✅ Technical levels to watch for DXY, Gold, and BTC
✅ Key events to watch this week (CPI, PCE, Fed speeches)
Whether you're a trader, investor, or just market-curious, this analysis will keep you one step ahead. 🧠💹
🔔 Don’t forget to like, comment, and subscribe for real-time market insights!
#DXY #XAUUSD #BTCUSD #Inflation #GoldPrice #BitcoinNews #FedWatch #MarketUpdate
Gold Analysis – June 11Safe-haven demand increased after a U.S. appeals court upheld Trump-era tariffs, overshadowing optimism from a U.S.–China trade framework. While the agreement hinted at progress, the lack of details and looming tariff deadlines kept risk sentiment in check.
The market is now focused on today’s U.S. CPI release, expected to show sticky inflation in May. Strong inflation data could support the Fed’s stance on keeping rates elevated, which has kept the dollar firm and capped gains in metals — but for now, gold remains bid on geopolitical and inflation uncertainty.
BlackLine and GAPSAt the BMO conference on June 10, 2025, BlackLine announced a target revenue growth of 13–16% over the next 3 to 5 years. The company is introducing a new pricing strategy, strengthening partnerships, and expanding internationally.
25% of the company’s growth is driven by SAP, which is showing an impressive increase in cloud revenue (+27% in Q1). Additionally, BlackLine is implementing “Agentic AI” and intelligent solutions such as operational risk analysis and central journal management.