Hello everybody I hope you are doing well and you had a profitable trades during manipulation last week. Today I'm here with an idea as you saw the marketing was running crazy last week. flying since last week, breaks all the resistance and still making ATH and ATH. Most of the people are still confused those who trades with support and resistance, They are still finding the zones for sell and buy but the market respects their support but not resistance still breaking the resistance and making all time high. here is the point where gold can change the trend bullish into bearish. If price breaks 3041then gold can follow the same bullish trend, as I said gold can change the direction bullish into bearish yup its possible at the price 3040there is a sell liquidity if price hits their liquidity and breaks 3028 with strong candle gold can fall till 3000.
Who invented the Dollar Cost Averaging (DCA) investment strategy? The concept of Dollar Cost Averaging (DCA) was formalized and popularized by economists and investors throughout the 20th century, particularly with the growth of the U.S. stock market. One of the first to promote this strategy was Benjamin Graham , considered the father of value investing and author of the famous book The Intelligent Investor (published in 1949). Graham highlighted how DCA could help reduce the risk of buying assets at excessively high prices and improve investor discipline. https://www.tradingview.com/x/sgbLd5mT/ When and How Did Dollar Cost Averaging Originate? The concept of DCA began to take shape in the early decades of the 20th century when financial institutions introduced automatic purchase programs for savers. However, it gained popularity among retail investors in the 1950s and 1960s with the rise of mutual funds. Overview The core principle of DCA involves investing a fixed amount of money at regular intervals (e.g., every month. This approach allows investors to purchase more units when prices are low and fewer units when prices are high, thereby reducing the impact of market volatility. Why Was DCA Developed? The strategy was developed to address key challenges faced by investors, including: 1. Reducing Market Timing Risk Investing a fixed amount periodically eliminates the need to predict the perfect market entry point, reducing the risk of buying at peaks. 2. Discipline and Financial Planning DCA helps investors maintain financial discipline, making investments more consistent and predictable. 3. Mitigating Volatility Spreading trades over a long period reduces the impact of market fluctuations and minimizes the risk of experiencing a significant drop immediately after a large investment. 4. Ease of Implementation The strategy is simple to apply and does not require constant market monitoring, making it accessible to all types of investors. Types of DCA Dollar Cost Averaging (DCA) is an investment strategy that can be implemented in two main ways: Time-Based DCA → Entries occur at regular intervals regardless of price. Price-Based DCA → Entries occur only when the price meets specific criteria. 1. Time-Based DCA How It Works: The investor buys a fixed amount of an asset at regular intervals (e.g., weekly, monthly). Entries occur regardless of market price. Example: An investor decides to buy $200 worth of Bitcoin every month, without worrying whether the price has gone up or down. https://www.tradingview.com/x/69qvCkTY/ 2. Price-Based DCA How It Works: Purchases occur only when the price drops below a predefined threshold. The investor sets price levels at which purchases will be executed (e.g., every -5%). This approach is more selective and allows for buying at a “discount” compared to the market trend. Example: An investor decides to buy $200 worth of Bitcoin only when the price drops by at least 5% compared to the last entry. https://www.tradingview.com/x/l83QrAcD/ Challenges and Limitations 1. DCA May Reduce Profits in Bull Markets If the market is in an bullish trend, a single trade may be more profitable than spreading purchases over time or price dips. 2. Does Not Fully Remove Loss Risk DCA helps mitigate volatility but does not protect against long-term bearish trends. If an asset continues to decline for an extended period, positions will accumulate at lower values with no guarantee of recovery. 3. May Be Inefficient for Active Investors If an investor has the skills to identify better entry points (e.g., using technical or macroeconomic analysis), DCA might be less effective. Those who can spot market opportunities may achieve a better average entry price than an automatic DCA approach. 4. Does Not Take Full Advantage of Price Drops DCA does not allow aggressive buying during market dips since purchases are fixed at regular intervals. If the market temporarily crashes, an investor with available funds could benefit more by buying larger amounts at that moment. 5. Higher Transaction Costs Frequent small investments can lead to higher trading fees, which may reduce net returns. This is especially relevant in markets with fixed commissions or high spreads. 6. Risk of Overconfidence and False Security DCA is often seen as a “fail-proof” strategy, but it is not always effective. If an asset has weak fundamentals or belongs to a declining sector, DCA may only slow down losses rather than ensure future gains. 7. Requires Discipline and Patience DCA is only effective if applied consistently over a long period. Some investors may lose patience and leave the strategy at the wrong time, especially during market crashes.
https://www.tradingview.com/x/Fu1v6PW2/ ✅EUR_CHF broke out Of the bearish wedge pattern So we are locally bearish Biased and we will be Expecting a further Bearish move down SHORT? ✅Like and subscribe to never miss a new idea!✅ Disclosure: I am part of Trade Nation's Influencer program and receive a monthly fee for using their TradingView charts in my analysis.
4-hour BTC/USD chart showing a bearish trade setup based on price action trading. Tools and patterns used in the chart: 1. Change of Signature (CHOCH) - Marked twice, indicating a shift from a bullish to a bearish market structure. 2. Breakout of Structure (BOS) - Confirms a bearish continuation after a CHOCH. 3. Trendlines - Used to track upward movement before an expected breakout. 4. Supply Zone/Point of Interest (POI) - POIs are highlighted to show where price is expected to react before reversing. 5. Stop Loss (SL) Zone - Marked in red, indicating that the trade will be invalidated if price moves above this zone. 6. Liquidity Rush (SSL - Sell Side Liquidity) - Indicates that price may sweep liquidity before continuing to move lower. 7. Bearish Forecast (Blue Path) - Indicates expected decline with target price around $76,601 - $79,416. Conclusion: This chart indicates a bearish setup with a short trade planned from POI, expecting a crash after a liquidity grab. Traders are using SMC tools like CHOCH, BOS, POI and Liquidity Sweep to predict market movements
In this idea, I’d like to share a quick recap about my unconventional approach to understanding the chaos of the market. Price movements don’t just mirror fundamentals, they also reshape them in continuity. Relating recent fluctuations to historic swings is crucial, because markets operate within a structured, evolving framework where past price proportions subtly wire the future. The interplay between bulls and bears doesn’t unfold randomly — it reflects recurring behavioral cycles encoded in historical patterns. Each swing carries the imprint of collective psychology, liquidity dynamics, and structural forces, which tend to repeat in varying scales. In Fractal Analysis, I recognize 2 key aspects of price dynamics: magnitude (price) and frequency of reversals (time). For example, capturing the direction of past bullish wave can be used to define boundaries of future bearish waves. In logarithmic scale, the movements exhibit relatively more consistent angle (as percentage-based distance factors in natural growth). https://www.tradingview.com/x/z5gN2V7h/ To build structural framework, we need another 2 chart-based frames of reference because having multiple Fibonacci channels layered across cycle creates a collective framework of confluence zones, where price reactions become more meaningful. https://www.tradingview.com/x/fuvzxl8i/ When several channels align or cluster around the same price levels, those zones gain credibility as potential support/resistance, because independent measurements are pointing to the same structural levels. This is why by analyzing price within a broader historical context, we gain perspective on where current price action fits within the larger market narrative.
? Current Price: $583.39 ✅ TP1: $620 – Short-Term Rebound to Mid-Channel Resistance ✅ TP2: $720 – Retesting Previous Highs ✅ TP3: $765+ – Analyst Average Target, Aligning with Recovery Patterns ? Why Are We Bullish? 1️⃣ Analyst Ratings & Price Targets Strong Buy Consensus: Major institutions maintain bullish ratings on META. Average Price Target: $765 → +29% upside from current levels. Price Target Range: $580 (low) to $935 (high). JPMorgan Calls META a Top Pick: Meta and Spotify named as two of the best investment opportunities currently. 2️⃣ Market Correction Presents a Strong Entry Point Biggest pullback since September 2023 – The last time META corrected 23% in two months, it fully recovered within two months and resumed its uptrend. META is now at major trendline support , historically a strong accumulation zone. RSI indicates potential reversal , aligning with previous rebounds. 3️⃣ AI Expansion & Business Growth Meta’s Llama AI Model Hits 1 Billion Downloads , reinforcing the company’s dominance in AI innovation. Heavy investments in AI & machine learning strengthen long-term growth prospects. 4️⃣ Strategic Growth & Revenue Expansion Strong Ad Revenue Growth: Despite market volatility, Meta’s ad business remains a cash machine. Metaverse & Reality Labs: Long-term investments positioning Meta as a leader in next-gen digital experiences. New Revenue Streams from AI & Cloud-Based Services: Expected to drive earnings in 2025 and beyond. ? Conclusion META’s 23% correction is presenting a rare discounted entry opportunity in an otherwise strong bullish trend. With AI growth, ad revenue expansion, and a rebound pattern that historically favors a recovery, META remains one of the best opportunities in the tech sector right now.
the cup and handle pattern played well so far, we got the retest, by taking the macro and geopolitics into consideration, it is hard to believe an alt season very soon, but pattern is pattern :) maybe an surprise rate cut projection tomorrow ?
Apollo Hospitals' stock is currently showing a neutral to slightly bearish trend. The stock closed at ₹6,105.65, reflecting a 0.84% increase on the last trading day. Analysts have noted that the stock has experienced a negative price breakout recently, trading below its second support level. Key support levels for the stock are around ₹6,000–₹6,050, while resistance levels are near ₹6,200–₹6,250. If the stock breaks above ₹6,200, it could signal upward momentum, but a dip below ₹6,000 might lead to further selling pressure.
1st target buy @ 109 (position filled) 2nd target buy @ 74 If we close the gap down to 74, I will add more. This is possible in current bear market. This idea is a long term investment in RDDT at what I believe are strong areas of support. Revenue is growing rapidly and I believe in the company. Over 1 billion in ad revenue in 2024, though It's not all positive, they do have some warts such as negative net income and less than expected growth in daily users but I believe these things will be resolved over time and are likely priced in at this point after a 43% drop in the last month from ATH. Long
Atlas - Early Daily Review of 2 Assets - EURUSD and GBPUSD . by: Noble.Mike.Jamison (Atlas)