Market indices
DJI Daily Chart Analysis: Price Rejected at Mid-Band Resistance
The price is below the middle line (likely a 20-day moving average) of the Bollinger Bands, which typically signals bearish momentum.
Recent price action shows a lower high and a lower low pattern, indicating the continuation of a downtrend.
The candlesticks are mostly red with increasing volume of selling pressure.
Bands are widening, suggesting increased volatility.
The price recently pierced the lower Bollinger Band, which often indicates a potential for short-term rebound—but in a strong downtrend, this could also mean acceleration to the downside.
Key Support Zone : Around 38,000 to 38,500, where previous buying occurred in early April. If broken, further downside to 37,000 is likely.
Key Resistance Zone : Near 40,500 to 41,000, aligning with the mid-Bollinger Band. This area has been tested and rejected multiple times.
USD Price Action Correlation with Bitcoin PriceIn the later stages of the liquidity cycle you have a devaluation of USD leading to bitcoin breaking out of its bullish trend into a parabolic trend.
-Last 2 cycles this predictive correlation leaded bitcoins breakout by 4 to 6 months.
-Current cycle DXY/Bitcoin charts look very similar to 2018
Taking this correlation into account, we could likely see the bullish trend on Bitcoin transform into a parabolic trend sometime between May and June. Meaning, we are in the final stages of a bottoming in Bitcoin at the time of this post, likely about to continue bullish momentum as we just went through significate market strain. Removing the possibilities of another Black Swan event, like a major geopolitical event but it is my belief that this was already priced in from the markets reaction just this month. This being said, there are no certainties. Things could always get worse. Time will tell, but given my aforementioned annalists, the buying opportunity at this current point is to great to ignore. Reward greatly outweighing the risk.
ASX to find sellers at market price?ASX200 - 24h expiry
Daily signals are bearish.
Daily signals for sentiment are at oversold extremes.
The lack of interest is a concern for bulls.
Offers ample risk/reward to sell at the market.
20 1day EMA is at 7766.
We look to Sell at 7785 (stop at 7905)
Our profit targets will be 7435 and 7365
Resistance: 7817 / 7865 / 7987
Support: 7716 / 7600 / 7500
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The trade ideas beyond this page are for informational purposes only and do not constitute investment advice or a solicitation to trade. This information is provided by Signal Centre, a third-party unaffiliated with OANDA, and is intended for general circulation only. OANDA does not guarantee the accuracy of this information and assumes no responsibilities for the information provided by the third party. The information does not take into account the specific investment objectives, financial situation, or particular needs of any particular person. You should take into account your specific investment objectives, financial situation, and particular needs before making a commitment to trade, including seeking advice from an independent financial adviser regarding the suitability of the investment, under a separate engagement, as you deem fit.
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NASDAQ: Stop the noise. Long term investors are buying here.Nasdaq may be recovering on its 1D technical outlook but remains bearish on the 1W (RSI = 37.616, MACD = -451.790, ADX = 38.564) as the timeframe is still under the dramatic effect of the 3 month correction. The market however appears to be finding support a little over the 1W MA200 and may turn out to be the new long term technical bottom as the 1W RSI rebounded from oversold grounds.
The last three times that happened, the index rose aggressively. The 15 year pattern is a Bullish Megaphone and every rally inside it obviously gets stronger. As long as the market is holding the 1W MA200, the trend will be bullish and this is the right opportunity to buy for the long term, aiming at another +113.90% bullish wave (TP = 36,000) to get hit towards the end of 2027.
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Trade Idea: US30 Short (SELL STOP)Technical Analysis Summary:
Daily Chart (Macro View):
• Trend: Bearish short-term (price is below the moving average, sharp recent drop).
• MACD: Bearish momentum building with a deepening histogram.
• RSI: At 42.22, pointing down – no oversold condition yet, so further downside is probable.
15-Minute Chart (Mid-Term Momentum):
• Trend: Recently broke down from consolidation, failed to reclaim previous high.
• MACD: Strong bearish crossover, deep in negative territory.
• RSI: At 39.20, not oversold – room to fall.
3-Minute Chart (Entry Timing):
• Trend: Weak recovery attempt stalled below moving average.
• MACD: Flat to downtrend.
• RSI: Around 40, suggesting more downside pressure without being oversold.
⸻
Fundamental Context (if relevant to US30):
• Rising geopolitical tensions and weak earnings reports (assumed).
• Dovish Fed fading, bond yields rising — bearish for equities.
• Fear-driven sentiment often hurts cyclical indices like US30.
⸻
Trade Setup (SHORT):
• Entry: 39595 (current price area as per charts).
• Stop Loss (SL): 40087
(Above minor resistance and 15M consolidation top)
• Take Profit (TP): 38650
(Recent support zone, room for price to breathe before demand zone)
FUSIONMARKETS:US30
Trading Mindset
I Am a Software Developer and a Passionate Trader
Over the past five years, I have explored nearly every aspect of trading—technical analysis, intraday trading, MTF, pre-IPO investments, options selling, F&O, hedging, swing trading, long-term investing, and even commodities like gold and crude oil.
Through this journey, I realized that **technical analysis is only about 20% of the equation**. The real game is **psychology and mindset**.
I have distilled my learnings into concise points below—insights that have shaped my approach and will continue to guide me in my version 2.0 of trading. I hope they prove valuable to you as well.
---
### **Position Sizing**
One of the most important aspects of trading is choosing the right position size. Your trade should never be so large that it causes stress or worry. Keep it at a level where you can stay calm, no matter how the market moves.
### **Set Stop-Loss and Target Before Placing a Trade**
Decide in advance when you will exit a trade—both at a loss (**stop-loss**) and at a profit (**target**). This helps maintain emotional balance, preventing extreme excitement or frustration.
### **How to Calculate Position Size**
- Use **technical analysis** to identify your **stop-loss** and **target**.
- Example: If CMP is ₹100 and your stop-loss is at ₹94 (₹6 risk per share), determine your risk tolerance:
- ₹3,000 risk ➝ **500 shares** (₹3,000 ÷ ₹6)
- ₹1,200 risk ➝ **200 shares** (₹1,200 ÷ ₹6)
- Adjust quantity based on how much you're willing to risk.
### **Setting Target Price & Risk-Reward Ratio**
The most important factor in setting a target is the **risk-reward ratio**. If your stop-loss is ₹6, your target should be at least **₹6, ₹9, or ₹12**.
### **Why Is Risk-Reward Important?**
Let’s say you take **10 trades**—5 go in your favor, and 5 go against you. If your risk-reward ratio isn’t favorable, you could end up in a loss.
Example:
- You **lose ₹6** in two trades → ₹12 total loss
- You **gain ₹3** in three trades → ₹9 total profit
- **Net result: -₹3 loss**
To ensure profitability, your **reward should be equal to or greater than your risk**. A **1.5x or 2x risk-reward ratio** is ideal.
### **Flexibility in Targets**
Even when the price reaches **Target 1**, you can **book partial profits** and let the rest run with a **trailing stop-loss**.
---
### **Managing Multiple Trades**
This is **very important**. If you're a beginner, **limit yourself to 2 trades**, and even if you're a pro, **avoid more than 3-5 positions**.
**Example:** If you have **₹2 lakh**, make sure you have **only 2 trades open at a time**. Add a third stock **only when you close another position**.
---
### **How to Deploy Capital**
Patience is key. If you have **₹1 lakh**, **divide it into 4-5 parts** and buy **in small chunks over time**.
**Why?**
The **nature of stocks** is to move in waves—rising, facing profit booking, then breaking previous highs. Instead of investing everything at once, **buy in staggered amounts** to ensure your **average price stays close to CMP**.
---
### **Avoid Market Noise**
When trading, **stay in your zone**.
Social media posts can make you feel **slow compared to others**, but they don't show the full picture. Avoid distractions like:
- Direct stock tips from **news channels**
- P&L snapshots from traders
- Following too many **analysts on social media**
Instead, **listen to expert views**, but stay disciplined with **your own strategy**.
---
### **Stock Selection**
Stock selection has **two elements—technical and fundamental** (I'll write a separate post on this).
Always **buy a stock that you can hold even in your darkest times**.
**Example:**
- Choose **blue-chip stocks** with **high market caps & strong promoter holdings**
- Never **buy a stock just because it’s in momentum**
- If a stock **turns into a forced SIP**, it’s not a good buy
Pick stocks with **a long-term story**—even if you fail to exit at the right time, you should be comfortable holding them.
---
### **Accept That It’s the Market, Not You**
Many traders fail because they **don’t admit that the market is unpredictable**.
Losses happen because of volatility, not necessarily poor strategy. **Example:**
- You lose a trade and **try improving your method** but face another hit
- Some losses **are simply beyond your control**
Most of what happens in the market is **not in your hands**—including stop-loss triggers. **Accept this reality,** and focus on **risk management** instead of revenge trading.
---
### **Keep Separate Trading & Investment Accounts**
Trading and investing **are different**. If you keep them **in the same account**, you’ll:
- **Book small profits** on investments
- **Hold short-term trades in losses**
Having **separate accounts** keeps **your goals clear**.
---
### **Don’t Let the Market Dominate You**
Even full-time traders **shouldn’t obsess over the market**.
Limit your **screen time to 2-3 hours during market hours**.
**Why?**
- You can’t **act on global markets until 9:15 AM IST**
- Even if a **war or tariff issue** arises, **you can’t do anything until market open**
- Overthinking leads to **over-trading**, which drains money
Instead, **invest time in developing new skills**.
---
### **Do What Suits You, Not Others**
If you're good at **swings, stick to swings**. If you're good at **intraday, do intraday**.
Don't follow **what works for a friend—trade based on what suits you**.
---
### **Avoid FOMO**
Don't **stress** if a stock jumps **20% in a day**.
Stock **accumulation zones, demand/supply areas, profit booking**, and **retests** happen **regularly**—opportunities will always come.
Even traders who claim they made **20% in a day** **don’t share how often they got trapped chasing stocks**.
---
### **Stop-Loss Is Your Best Friend**
No, stop-loss is your **best friend for life**.
**Example:**
- Suppose you **enter 10 trades in a month**.
- **6 do well** and you book profits.
- **4 go against you**, but instead of exiting, **you hold** because you believe they’ll recover.
- Next month, you **repeat this cycle**—adding more positions.
Over time, **this builds a portfolio of lagging stocks**, and suddenly, **your losses dominate your portfolio**.
---
Even Experts Face Losses
Even professionals with **advanced research teams lose money**.
Retail traders often **believe they can avoid losses by analyzing a few ratios**, but **losses are part of trading**.
A stop-loss ensures **you stay in the game long-term**—instead of holding onto losing trades indefinitely.
---
Take a Break & Restart
Taking breaks is **crucial**. If everything is going wrong, **don’t hesitate to press the reset button**—step back, analyze, and refine your approach. A fresh mindset leads to better trading decisions. (I’ll write a detailed post on this soon.)
Deflation in Our Time? Analyzing the Multifaceted Risk of a Deflationary Bust in the 21st Century United States
Scene setting;
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Shifting Focus from Inflation to a Latent Deflationary Threat
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For decades, the dominant macroeconomic preoccupation in the United States, reflected in policy debates and market anxieties, has centered on managing inflation.
The specter of rising prices eroding purchasing power has been the primary dragon for central bankers and governments to slay. However, lurking beneath these immediate concerns are powerful, long-term structural forces that converge to present a different, arguably more insidious, potential threat: a deflationary bust.
Deflation, a sustained decrease in the general price level, can morph from seemingly benign cheaper goods ("good deflation") into a destructive economic vortex ("bad deflation") characterized by falling demand, contracting output, rising unemployment, crippling debt burdens, and financial instability.
This essay looks into the confluence of factors;
technological disruption
demographic shifts
unprecedented debt levels
– These create a credible vulnerability to such a scenario in the US over the coming decades. It will further explore how policy choices, global trade dynamics, and speculative market behavior could act as amplifiers or triggers, transforming latent risk into acute crisis. While not predicting an inevitable outcome, this analysis aims to provide a comprehensive assessment of the multifaceted nature of this significant long-term economic challenge.
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Technological Double-Edged Sword: AI, Automation, and the Price Level
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Technological advancement, particularly the accelerating capabilities of Artificial Intelligence, robotics, and digitalization, stands as perhaps the most potent and complex force influencing future price levels.
Its impact is fundamentally dual-natured:
-- The Promise of "Good Deflation" : Efficiency and Abundance: Technology inherently drives efficiency. AI can optimize supply chains, automate manufacturing processes, reduce energy consumption, and streamline service delivery, leading to lower production costs. These savings can translate into lower prices for consumers, boosting real incomes and living standards – a beneficial form of deflation. Furthermore, in the digital realm, AI pushes towards zero marginal cost production for information goods. The ability to generate personalized software, entertainment (films, music, games), designs, or sophisticated analysis on demand at negligible incremental cost represents a powerful deflationary force in these sectors, potentially leading to an unprecedented abundance of certain goods and services.
-- The Peril of Disruption and Demand Destruction : The same technologies that promise efficiency also threaten widespread labor displacement. If automation eliminates jobs across various sectors (from manufacturing and logistics to white-collar professions like coding, design, and even legal analysis) faster than the economy can create new roles or adapt wage structures, the result could be significant unemployment or wage stagnation for large segments of the population. This directly undermines aggregate demand. Even if goods become cheaper, falling or insecure incomes prevent consumers from purchasing them, nullifying the benefits of lower prices. This risk is amplified by the "productivity paradox" – if AI adoption leads to job losses without simultaneously generating the massive, broad-based productivity gains needed to boost overall wealth and create new demand, the net effect could be strongly deflationary. The destruction of incomes in industries disrupted by zero-marginal-cost AI could further exacerbate this, crippling the vital income-spending-income cycle necessary for economic vitality. Uncertainty about future employment prospects can also trigger increased precautionary savings (hoarding), slowing the velocity of money and adding further deflationary pressure.
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The Demographic Drag: An Aging Population and Shifting Consumption
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Compounding the technological shifts are profound demographic changes underway in the United States. While not as advanced as in Japan or parts of Europe, the US population structure is undergoing significant transformation:
The Aging Baby Boomer Cohort : The retirement of this large generation is leading to slower labor force growth and a higher dependency ratio (more retirees relative to workers).
Shifting Consumption Patterns : Older populations typically exhibit different consumption behaviors. They tend to save a higher proportion of their income and spend less, particularly on durable goods, vehicles, and housing expansion, compared to younger, family-forming households. Their spending priorities often shift towards healthcare and services.
Impact on Aggregate Demand : This demographic evolution acts as a persistent, gradual drag on overall consumer demand, which has historically been the primary engine of US economic growth. Reduced demand for goods and services exerts a gentle but constant downward pressure on prices and growth potential. While immigration can partially offset these trends, the underlying shift towards an older population profile contributes to a macroeconomic environment more susceptible to deflationary forces. It represents a structural headwind that makes the economy less resilient to negative shocks.
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The Mountain of Debt: Vulnerability and the Debt-Deflation Spiral
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Perhaps the most acute vulnerability amplifying the risk of a deflationary bust is the staggering level of debt accumulated across the US economy – encompassing government, corporate, and household sectors. Decades of low interest rates, financial innovation, and fiscal deficits have resulted in debt-to-GDP ratios hovering near historic highs.
Scale and Scope : From towering federal deficits to increased corporate borrowing (often used for share buybacks rather than productive investment) and significant household mortgage and consumer debt, the US economy operates with substantial leverage.
The Debt-Deflation Mechanism : As articulated by Irving Fisher, debt becomes exceptionally dangerous during deflation. When the general price level falls, the real burden of existing, nominally fixed debt increases. A dollar owed becomes harder to earn back when wages and prices are declining. This forces debtors (households, corporations, potentially even governments) into distress:
-- Forced Deleveraging : Debtors must cut spending drastically to service or pay down debt. Businesses slash investment and payrolls; households cut consumption.
-- Asset Fire Sales : To raise cash, debtors may be forced to sell assets (homes, stocks), further depressing asset prices and exacerbating the downturn.
-- Demand Collapse : The combined effect of spending cuts and asset deflation crushes aggregate demand.
-- Feedback Loop : Falling demand leads to further price declines, which further increases the real debt burden, triggering more defaults and spending cuts – a vicious downward spiral.
Heightened Fragility : The sheer scale of existing debt means the US economy is acutely sensitive to this dynamic. Even a mild deflationary impulse could potentially trigger significant financial distress and initiate this destructive feedback loop, turning a manageable slowdown into a severe bust.
===============================================================================
Amplifiers and Triggers: Igniting the Latent Risk
===============================================================================
While the underlying forces create vulnerability, specific events or policy choices often act as catalysts, turning potential risk into reality. Several potential amplifiers and triggers exist in the current context:
-- Policy Missteps : Abrupt or misjudged policy actions could destabilize the system.
-- Monetary Policy Shock : An overly aggressive tightening cycle by the Federal Reserve, perhaps reacting belatedly to persistent inflation, could dramatically raise borrowing costs, crush asset values held by indebted entities, and freeze credit markets, potentially triggering a deflationary collapse despite the initial inflationary trigger.
-- Sudden Fiscal Austerity : A sharp, unexpected shift to fiscal consolidation (deep spending cuts, large tax hikes), potentially driven by political gridlock or a sudden panic over debt levels, could withdraw critical demand from the economy, tipping it into deflation.
-- Disruptive Regulation : Hasty or poorly designed regulations targeting key sectors (e.g., finance, technology) could inadvertently curtail credit, destroy perceived wealth, or halt investment.
-- Loss of Credibility : A rapid erosion of market confidence in US fiscal sustainability or the Federal Reserve's competence could lead to soaring interest rates (market-driven), capital flight, and financial chaos, potentially triggering a bust.
Trade Wars and Deglobalization: Beyond specific tariffs (which can be inflationary for targeted goods), the broader trend of escalating trade friction and deglobalization acts primarily as a deflationary force on the overall economy. It reduces global efficiency, disrupts supply chains, dampens business investment due to uncertainty, and slows global growth, thereby weakening the capacity of economies worldwide to service debt and maintain demand.
Speculative Unwinding and Retail Exposure: The significant increase in retail investor participation, often concentrated in highly speculative assets like meme stocks and cryptocurrencies, creates a specific vulnerability. A sharp, correlated downturn in these markets would trigger:
-- Negative Wealth Effect : Millions feeling suddenly poorer would drastically cut discretionary spending.
-- Confidence Collapse : Shattered confidence would lead to increased hoarding (precautionary savings) and delayed purchases.
-- Direct Liquidity Shock : Forced selling and realized losses would directly reduce spending power. This mechanism provides a direct channel from financial market volatility to a sharp contraction in real economic activity, amplifying deflationary pressures.
========================================================================
Interactive Effects and the Downward Spiral
========================================================================
Crucially, these factors do not operate in isolation; their danger lies in their potential interaction and ability to create self-reinforcing negative feedback loops.
Synergistic Weakness: Imagine technology displacing workers (reducing income) while an aging population inherently dampens demand, all within an economy saturated with debt. This combination is exceptionally fragile.
Cascading Failures: A shock in one area (e.g., a tech stock collapse) can trigger deleveraging that worsens the debt problem, which then further reduces demand, validating initial pessimism and potentially leading to further price drops and layoffs.
The Power of Expectations: Once businesses and consumers expect prices to fall, deflation can become entrenched. Businesses delay investment, and consumers postpone purchases, waiting for lower prices, thereby validating the expectation and deepening the slump. Breaking these expectations becomes incredibly difficult for policymakers.
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Countervailing Forces
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Despite these significant risks, a deflationary bust is not preordained. Several factors could counteract these trends or mitigate their impact:
US Economic Dynamism: The US economy possesses inherent strengths, including a culture of innovation, relatively flexible labor markets (compared to some peers), and a deep pool of capital.
Inflationary Pressures: Persistent inflationary forces may counteract deflationary drivers. These include the costs associated with reshoring supply chains (deglobalization), massive investments required for the green energy transition, geopolitical instability impacting commodity prices, and potentially persistent labor bargaining power in certain sectors.
Policy Responses: Governments and central banks are aware of deflation risks (particularly informed by Japan's experience). They possess tools like quantitative easing, negative interest rates (though controversial), forward guidance, and substantial fiscal stimulus (like direct payments or infrastructure spending) to combat deflationary pressures. Novel policies like Universal Basic Income (UBI) might even be considered in a future of AI-driven job displacement. The effectiveness and potential unintended consequences (e.g., fueling asset bubbles, future inflation risk) of these tools, especially near the zero lower bound, remain subjects of debate.
===============================================================================
Vigilance in the Face of Structural Change
===============================================================================
The risk of a deflationary bust in the United States over the coming decades is a credible, complex threat arising from the confluence of powerful structural forces. Transformative technology offers efficiency but risks income destruction; demographic shifts promise longer lives but dampen demand; accumulated debt fuels growth in the short term but creates profound fragility in the face of falling prices. These underlying vulnerabilities can be ignited by policy errors, geopolitical turmoil, or the unwinding of speculative excesses in financial markets, potentially trapping the economy in a debilitating downward spiral. While countervailing forces exist and policy tools are available, their efficacy in navigating such an unprecedented confluence of challenges remains uncertain. Addressing this latent risk requires more than traditional macroeconomic management. It demands forward-looking policies that foster inclusive growth, manage the societal transitions accompanying technological change, ensure long-term fiscal sustainability without triggering austerity shocks, promote financial stability that accounts for new forms of speculation, and maintain adaptability in the face of profound global shifts. Recognizing and proactively addressing the gathering chill of potential deflation is essential for securing long-term economic prosperity and stability in the 21st century.
Potential bearish drop?DJ30 is reacting off the support level which is an overlap support and could drop from this level to our take profit.
Entry: 39,332.63
Why we like it:
There is an overlap support level.
Stop loss: 40,743.45
Why we like it:
There is an overlap resistance level.
Take profit: 37,047.85
Why we like it:
There is a pullback support level that is slightly below the 61.8% Fibonacci projection.
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Dow jones 38500?Dow jones 38500?
The Dow Jones Industrial Average (DJIA) has been experiencing volatility recently, influenced by factors such as weak earnings reports and global economic concerns. The index fell 507 points (1.3%) in its latest session, primarily due to a sharp decline in UnitedHealth shares following an earnings miss
DXY: Bears Are Winning! Short!
My dear friends,
Today we will analyse DXY together☺️
The in-trend continuation seems likely as the current long-term trend appears to be strong, and price is holding below a key level of 99.125 So a bearish continuation seems plausible, targeting the next low. We should enter on confirmation, and place a stop-loss beyond the recent swing level.
❤️Sending you lots of Love and Hugs❤️
SPXGiven the escalating tariff pressures, it's clear that this scenario is unsustainable for any economy in the long term. I anticipate a resolution to the US-China trade issue within the next few weeks to months.
The current market correction is likely a reflection of the accumulated negative impacts from Trump's second term, and from a technical analysis perspective, further downside levels are indicated on the charts.
However, looking at the broader, four-year horizon of Trump's presidency, there are several potentially bullish factors, including tax cuts, financial deregulation, continued Fed dovishness, and the possibility of renewed quantitative easing.
25-04-16 DAY 21'196 - More to come ..Bears comin'The German Dax did last year a very outstanding performance.
Inbetween, some money switches from the USA into Europe. Germany as well.
The Chart shows very impressive, what 2001 happend. Also after a period, where everyone talked about "the Sky" is the Limit. After 2001 the Dax needed 5 years for revovering.
Germany actually stands for big problems:
. the new coaltition between CDU and SPD ist called the "Schuko" means "Schuldenkoaliation"
. immense cost for socialising all the refugees, since years and no way out to see
. Automobile Industrie in big problems, means 25% of the germans manufactoring sector
. Toll will come and net profit and Dividends will hammered down, first quarter will show
. P/E still 40%-50 over long term average of 15.
So, all in all. Keep away from the DAX, for a long time.
Nifty Parallel Channel and how things are shaping up. Nifty has closed strongly above the Mother line of Weekly chart this week. This should be considered a solid come back by Indian markets after the Trump Tariff induced fall. Indian economy is showing it's capability to bounce back on the back of strong rally in most of the sectors other than IT. Uncertainty in IT still looms as below par results that have started coming for might TCS and INfosys. We have a long weekend and uncertainties due to various announcements by global leaders regarding Tariffs can still spoil the party so one needs to be cautious in carrying huge positions over night and over the week especially in F&O trades.
Nifty travelling in a Parallel channel depicted above since 2020 is just below its Mid channel resistance at 24415. If you want to see the power of Mid Channel resistnace look at how it stopped Nifty between August 22 to December 23 below it. So Mid-channel resistnace should never be taken lightly. The area is depicted in the chart for your better understanding. Even before we reach that point of major resistance, Nifty has to counter strong resistance which was high of today and this week at 23872. Closing above 24415 can enable and empower Bulls to further push Nifty towards 24894, 25K and 25383 levels if the rally continues.
To know more about Parallel channel and how this Technical tool can be used to create wealth in stock market , you need to read my book The Happy Candles Way To Wealth creation. It is a highly rated book have a look at various reviews of the readers on Amazon. Both paperback and Kindle versions of the same are available on Amazon.
Nifty supports in case it is not able to cross and close above the resistnace zone of 23872 and 24415 will be 23272 (Strong Mother Line Weekly Support or 50 Weeks EMA) and 22698. A closing below 22698 in case of some adverse news or global development can empower the bears and can have potential to drag Nifty towards recent low of 21743 or 52 week low of 21281.
As of now things looking good but we have to wait and see the global and local developments over the weekend.
Disclaimer: The above information is provided for educational purpose, analysis and paper trading only. Please don't treat this as a buy or sell recommendation for the stock or index. The Techno-Funda analysis is based on data that is more than 3 months old. Supports and Resistances are determined by historic past peaks and Valley in the chart. Many other indicators and patterns like EMA, RSI, MACD, Volumes, Fibonacci, parallel channel etc. use historic data which is 3 months or older cyclical points. There is no guarantee they will work in future as markets are highly volatile and swings in prices are also due to macro and micro factors based on actions taken by the company as well as region and global events. Equity investment is subject to risks. I or my clients or family members might have positions in the stocks that we mention in our educational posts. We will not be responsible for any Profit or loss that may occur due to any financial decision taken based on any data provided in this message. Do consult your investment advisor before taking any financial decisions. Stop losses should be an important part of any investment in equity.