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NAS100USD Buy Idea: Bullish Momentum Targets 20705🚀 OANDA:NAS100USD Buy Idea: Bullish Momentum Targets 20705 💹 - 24h expiry OANDA:NAS100USD - We look to Buy at 20025 Stop Loss: 19825 Target 1: 20705 Target 2: 20730 Resistance: 20234, 20705, 20730 Support: 20025, 19423, 19125 Technical Setup: 📈 Continued upward momentum from 19424 resulted in the pair posting net daily gains yesterday . ⚠️ Overbought extremes indicate scope for mild selling at the open, but losses should remain limited . 🔑 Medium-term bias remains bullish . 🏁 Key resistance level at 20705 . 📰 News Sentiment 📊 Recent sessions show a bullish uptick in News Sentiment (Red Line), aligning with the price movement (Blue Line). 🌟 Positive sentiment (Red Line) is extending higher, suggesting further upside potential in the short term. Risk Disclaimer 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. You accept that you assume all risks in independently viewing the contents and selecting a chosen strategy. Where the research is distributed in Singapore to a person who is not an Accredited Investor, Expert Investor or an Institutional Investor, Oanda Asia Pacific Pte Ltd (“OAP“) accepts legal responsibility for the contents of the report to such persons only to the extent required by law. Singapore customers should contact OAP at 6579 8289 for matters arising from, or in connection with, the information/research distributed.
OANDA:NAS100USDLong
by OANDA
Why does technical analysis work?Introduction If you're here on TradingView, it's probably because you believe that charts and technical analysis can give you an edge in the trading of currencies, metals, cryptocurrencies, and stocks. Granted, sometimes technical analysis doesn't work, but it works often enough to keep hundreds thousands of traders coming back here day after day. The larger question is why . Four Reasons Technical Analysis (Sometimes) Works To a fundamental trader like me, technical analysis can sometimes seem like voodoo. Why should lines on a chart tell me anything useful about the total value of future dividends and cash flow for a stock? I admit I especially roll my eyes at Fibonacci ratios. Personally, I feel they're about as scientific as using divination or horoscopes to buy and sell stocks. But then again, if a lot of people believed that their horoscopes could help them win at stocks, you'd be a fool to ignore them. In fact, you could then gain a large edge by using astronomical data to forecast future horoscopes, getting tomorrow's horoscopes today. Which brings us to the first and most basic reason that technical analysis works: It works because people believe it works. If a lot of traders believe that Fibonacci ratios apply to stock markets, then a lot of traders will set their buy and sell orders at significant Fibonacci retracement levels. And then there's another whole contingent of traders who don't believe in Fibonacci numbers, but they know that lots of other people do, so they set their buy and sell orders there anyway. It becomes a self-fulfilling prophecy. Active trading is largely about predicting what other traders will do, and technical analysis is their playbook. And predicting other people's behavior brings us to the second reason that technical analysis works: It works because human psychology follows patterns. For instance, trend-following strategies might work, in part, because of "bandwagoning" and the "Fear of Missing Out" (FOMO). If traders see their friends getting rich off of Tesla or Bitcoin, they will fear being left behind. Speculative enthusiasm cascades through social networks until it has saturated them and everyone is leveraged long to the gills. Only when there's no one left to convert does the momentum finally stall. (Wall Street traders often quip that when their barber starts giving them stock tips, the market is saturated and it's time to sell.) As for support and resistance levels, they work partly because of regret. People remember the price they paid, or the price they wish they had paid, and that memory then shapes their behavior. For instance, if traders remember that they missed several opportunities in 2020 to buy an SPY dip to $323, then they are more likely to buy that level in the event of a future dip. What about oscillators? Well, perhaps humans distrust anything that moves too fast. Even if I'm romantically interested in someone, I'll still pull back if she proposes marriage on the first date. Plus, humans are loss-averse, so at some point we like to lock in gains. It works because it takes time for the market to fully price in news . The advent of algorithmic trading has made it hard for traders to gain an edge by reacting to news events. Stock prices move fast the moment a headline hits, so by the time you see it, you may already be too late. That said, algorithms are pretty good at picking the direction a news event should move a stock, but not necessarily the magnitude . The initial fast news response is often followed by a slow news response as the information spreads through the human population and its implications are assessed and priced by human traders. Trend-following strategies may be able to pick up on these slower processes of repricing in light of news. It works because today's news begets tomorrow's news . This is probably the most underappreciated of all the reasons that technical analysis works. Good news often leads to more good news. If a company posts a large positive earnings surprise, then there's also a good chance that it will get a dividend raise, analyst upgrades, or upward revisions of future estimates in the days or weeks to come. Likewise, bad news often leads to more bad news. For instance, if the company posts a negative earnings surprise, then there's an increased chance that it will need to take on debt or issue shares to sustain operations in the future. The same principle applies to industry-wide or even economy-wide news. If, for instance, the state California bans a company's product, then there's an increased chance that other states will follow suit. And if the Federal Reserve cuts or raises rates, then the next rate change is likely to be in the same direction, because Fed policy goes in cycles. The news-begets-news principle means that trend-following strategies might work, in part, because they are detecting the current direction of the news cascade. Three Reasons Technical Analysis Sometimes Doesn't Work I should emphasize, however, that technical analysis doesn't always work! Here are a few reasons it might not work sometimes: Traders try to anticipate signals . The larger the number of people who know about a trading technique, the less well it works. Take supports and resistances, for instance. If I expect the rest of the market to buy at a particular Fibonacci or moving average level, then I might place my own buy order just above that level in an attempt to front-run everyone else's move. If enough people do this, then the price may not ever actually reach that level. Whales create fake signals in order to harvest profits from technical traders. For instance, if a whale knows that a lot of people have stop loss orders set at a particular support level, then the whale might short a stock to that level in order to trigger all those sell orders, causing a price collapse and an opportunity for the whale to buy shares at a cheaper price. Timing risk. Sometimes you can correctly identify the direction of the trend but still have bad timing. For instance, we're in an interest rate-cutting cycle by the Federal Reserve, which has caused a strong upward trend. But the reality is that we're probably near the end of that cycle. If the Federal Reserve suddenly changed its tune tomorrow and started forecasting rate hikes next year, it would take some time for that information to be fully reflected in slow-moving technical signals, and you could lose a lot of money if you sell only after those signals change. It's perhaps best, then, to have a good understanding of what's driving a technical trend so that you can get out early if you see the underlying drivers change.
AMEX:SPYEducation
by ChristopherCarrollSmith
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