NSE:NIFTY I am not SEBI registered :) This is not a trading advice. An upward break and close above the 24,540 level could signal more upside, indicating strong buying momentum and a potential continuation of the uptrend. Let me know your thoughts or if you have any suggestions/questions.
BINANCE:PEPEUSDT is making frequent fake breakouts at both the support and resistance levels, indicating a phase of consolidation. After a substantial bullish move, the market is currently trading within a range. Typically, the price tends to move sideways rather than a correction when strong momentum is present. Since the market has broken and closed above the downward trendline, I anticipate that it may rolll back to retest this level before continuing its ascent towards the upper boundary of the channel. Overall, I expect the market to continue consolidating before making a steady upward move. My goal is resistance zone around 0.00002280 Traders, if you liked this idea or if you have your own opinion about it, write in the comments. I will be glad ??
XAGUSD was trading in a bearish trend,now price has formed an inverse head and shoulder pattern which is a reversal pattern,we will take a long trade at the break of neckline
Please take a look at this stock and DYODD. The breakout from the resistance would be a good entry point
In today’s hyper-connected world, trading is no longer an isolated activity. Platforms like Twitter, Reddit, and YouTube have given traders unprecedented access to market opinions, analyses, and news. While this democratization of information might appear empowering, it has a darker side that often harms traders more than it helps. From recycled insights to misleading advice, social influence can distort perceptions and decisions. 1️⃣ The Illusion of Timeliness Social media platforms flood traders with information, but much of it is already outdated by the time it reaches them. Algorithms prioritize engagement over relevance, so by the time a trend or news piece gains traction, professional traders and institutional investors have already acted on it. For instance, during the GameStop short squeeze in 2021, many latecomers who jumped on the bandwagon through Reddit lost significant amounts of money because they were reacting to stale signals. Practical Tip: Always verify the recency and reliability of market information from primary sources like economic calendars or official reports before acting on social media posts. 2️⃣ Influencers Over Expertise Many popular trading influencers are not professional traders; they are content creators seeking likes, shares, and followers. Their advice often lacks the depth and rigor required for real-world trading success. For example, influencers promoting high-leverage strategies or "guaranteed profits" often downplay risks, leading followers into reckless decisions. Case Study: The collapse of several cryptocurrency influencers’ portfolios during the 2022 crypto crash left many of their followers stranded after trusting poorly researched investment advice. Exercise: Before following advice, check an influencer’s track record. Are they transparent about their successes and failures? Do they share validated trades or just generic motivational content? 3️⃣ Taboo Topics Create Knowledge Gaps Social media discourages the discussion of "unpopular" or complex topics, like risk management or tax implications, because these subjects don’t garner engagement. As a result, traders rarely encounter valuable lessons about the less glamorous but critical aspects of trading. Example: While "10x your portfolio" content gets millions of views, nuanced strategies like position sizing, damage control vs. stops or hedging are often ignored, leaving traders ill-equipped to handle real-world risks. Practical Tip: Seek out niche forums or dedicated trading communities that focus on in-depth topics rather than just mainstream narratives. 4️⃣ The False Promise of Easy Success Social media is rife with posts showcasing unrealistic profits, often without context. These posts foster a gambling mentality, as traders are led to believe that consistent success is easy or guaranteed. For instance, flashy screenshots of six-figure profits from one trade are common, but the losses behind such gambles are rarely mentioned. Theory: This plays into confirmation bias—people tend to believe what aligns with their desires while ignoring contradictory evidence. Practical Tip: Keep a trading journal to focus on your own progress rather than being swayed by others’ exaggerated claims. 5️⃣ Echo Chambers Reinforce Poor Decisions Social networks often create echo chambers, where traders only encounter opinions that confirm their biases. Traders who ignore dissenting views often find themselves unprepared for the eventual crash. Exercise: Actively seek out opposing viewpoints and conduct your own analysis. If everyone agrees on a trade, ask yourself why the opportunity hasn’t been fully exploited already. 6️⃣ Overreliance on Opinions Instead of Data Social networks are awash with opinions, but opinions aren’t facts. Traders who rely on unverified perspectives often miss out on the critical analysis needed to succeed. For instance, during the 2020 oil price crash, many social media users encouraged buying oil stocks "at a discount" without understanding the structural challenges facing the energy sector. Case Study: Investors who followed such advice found themselves stuck in underperforming positions, while those who analyzed industry data navigated the downturn more effectively. Practical Tip: Develop a data-driven trading plan and stick to it. Use social media as a secondary source, not your primary guide. 7️⃣ Emotional Contagion Amplifies Poor Decision-Making The emotional tone of social media—whether it’s panic or euphoria—can cloud judgment. Herd mentality takes over, pushing traders to chase trends or sell prematurely. A prime example is the flash crash of May 2010, when panic spread through trading forums and social media, exacerbating market instability. Theory: Behavioral finance research shows that emotional contagion spreads rapidly in high-stress environments, leading to suboptimal decision-making. Exercise: Before reacting to a trending post, pause and assess your emotions. Are you making decisions based on logic or being swept up in the crowd's sentiment? Social networks have undeniably changed the way we trade, offering quick access to information and broadening participation. However, the negatives—outdated information, influencers with ulterior motives, and emotionally charged environments—often outweigh the positives. Successful traders must recognize these pitfalls and cultivate independent thinking. Remember, the best trades come from your analysis, not someone else’s opinion.
SGX TSI Iron Ore CFR China (62% Fe Fines) Index Futures (“SGX IO Futures”) rose last week, closing USD 4.17/ton higher by 29/Nov (Fri). https://www.tradingview.com/x/j7bSH385/ SGX IO Futures opened at USD 99.85/ton on 25/Nov (Mon) and closed at USD 104.02/ton on 29/Nov (Fri). Prices briefly touched a weekly high of USD 104.85/ton on 29/Nov (Fri) and a low of USD 99.80/ton on 25/Nov (Mon). It traded in a range of USD 5.05/ton during the week. Prices traded above the pivot point of USD 99.30/ton for the entire week and closed above the R1 point of USD 102.90/ton. Volume peaked on 28/Nov (Thu), as iron ore prices declined gently. The market balanced optimism in China’s steel market against disappointing economic data. Iron Ore Fundamentals in Summary https://www.tradingview.com/x/FQdLbUfp/ Iron ore prices posted a second weekly gain on 29/Nov (Fri), driven by signs of recovery in China’s steel industry and expectations of further stimulus from Beijing by year-end. Losses at Chinese mills narrowed in October, supported by government growth measures, but overcapacity and weak property demand keep steel among the economy's worst-performing sectors. Cumulative losses in China’s steel industry dropped to 23 billion yuan (USD 3 billion) in the first 10 months, down from 34 billion yuan over nine months. China’s manufacturing PMI for November came in at 50.3, beating analyst expectations of 50.2 and last month’s figure of 50.1. China's port iron ore stockpiles dropped 1.5% to 148.5 million tons in the week ending 29/Nov, according to Steelhome data. Based on seasonality, SGX IO Futures Jan contract trades 6.9% below its last 5-year average (USD 111.12/ton). Short-Term Moving Averages Indicate Reversal in Bearish Trend https://www.tradingview.com/x/lnM6JNGl/ The gap between the 9-day and 21-day moving averages narrowed earlier in the week, culminating in a golden cross on 28/Nov, when the 9-day moved above the 21-day. This signals the potential onset of a bullish trend. Long-Term Averages Signal Growing Bullish Trend https://www.tradingview.com/x/Kg9Q42Cz/ IO prices closed below the 200-day Displaced Moving Average (DMA) and oscillated between the 200d-DMA and 100d-DMA throughout the week. Prices are inching towards the 200d-DMA at USD 105/ton which could act as near-term price resistance. MACD Points to Strengthening Bullishness, RSI Grew But Still Neutral https://www.tradingview.com/x/iKwGvEcK/ The MACD indicated a strengthening bullish trend throughout last week. Meanwhile, the RSI is at 54.13, signaling a neutral trend treading just above the midpoint, while the RSI-based moving average is at 49.44. Volatility Declines, Price Tests 50% Fibonacci Level https://www.tradingview.com/x/RXGiLJkj/ Volatility declined sharply last week. Prices broke above the 38.2% Fibonacci level to test the 50% level & held resistance there. With upward momentum since 18/Nov (Mon), support is now expected at USD 103.15/ton (38.2% retracement), with resistance at USD 105.40/ton. Selling Pressure Eased, Price Trading at High Volume Nodes https://www.tradingview.com/x/mTDCJaOb/ Selling pressure remains dominant but has eased compared to last week, according to the Accumulation/Distribution (A/D) indicator. The price trades at a high-volume node, which may act as resistance or support this week. Iron Ore Prices Set to Climb Ahead of Lunar New Year https://www.tradingview.com/x/cFq04LhJ/ Iron ore prices generally increase in November and December due to seasonal patterns that prompt restocking in anticipation of China's Lunar New Year, driven by higher demand for steel production. Since 2014, the average growth has been 7.6%. Hypothetical Trade Setup With seasonally strong demand ahead of the Lunar New Year, improving conditions for Chinese steelmakers, expectations of further stimulus, and a stronger-than-expected manufacturing PMI, iron ore prices are poised to rise. To express a bullish view with limited risk, consider a bullish put spread using SGX IO options. This strategy involves selling a put at a higher strike (USD 99/ton) to collect premiums of protection against downside risk. To limit the downside risk, the second leg of the trade involves buying a put at a lower strike (USD 95/ton). This offers a fixed reward-to-risk profile. A hypothetical setup with a short put at USD 99/ton and a long put at USD 95/ton, expiring on 31/Jan, provides a maximum upside of USD 118/lot (if IO prices remain above USD 99/ton). This strategy exposes the investor to a max loss of USD 282/lot (if IO prices drop below USD 95/ton). The breakeven for the trade is at USD 97.82/ton. Option premiums are based on settlement prices as of the close of markets on 29th November 2024. https://www.tradingview.com/x/rFYl2FYJ/ DISCLAIMER This case study is for educational purposes only and does not constitute investment recommendations or advice. Nor are they used to promote any specific products, or services. Trading or investment ideas cited here are for illustration only, as an integral part of a case study to demonstrate the fundamental concepts in risk management or trading under the market scenarios being discussed. Please read the FULL DISCLAIMER the link to which is provided in our profile description.
Nice setup in a tested zone, as tested go for half risk lots' than normal
MANAUSDt Technical analysis update BINANCE:MANAUSDT price has formed a descending channel on the weekly chart, which has been developing over the past 930 days. The price is now approaching the channel's resistance line, with rising volume observed in recent weeks. Additionally, the price is trading above the 100 EMA. Once the breakout is confirmed on the weekly chart, a strong bullish move can be anticipated.
Path of start uptarnd for CAKEBTC and CAKEUsDT Path of start uptarnd for CAKEBTC and CAKEUsDT
We need to hold the 0.000092. If it breaks the trendline it could mean the abd correctoin is over and we will make a wave 3 to the crazy 0.16 level. Let me know what you think.