PEPE + BNB Will Moon Just Like ETH Did In 2017 17 year experienced trader here sharing my thoughts to help the crypto community.
As everyone knows this is a very important time for the market as we are approaching the end of the 3rd year of the 4 year cycle . Year 4 has always been ALTSEASON . The charts I am sharing with you are setting up to have HUGE runs into 2025. In teh video I share with you my reasoning on why this meme coin and BNB will explode higher just like ETH did back in 2017 . ETH was the the daddy back then and now MEME coins are the hot narratives (look at how many meme coins that Binance have listed) and there is a reason for it . Meme coins are bring in heavy trading volume for exchanges creating good revenue and they also bring in new crypto people to the community , we have seen xrp bring in millions of people , then we seen DOGE bring in millions of people then SHIB and then PEPE . Each ALTSEASON it has been a new meme coin that helps bring in and grow the crypto community so this time will be no different . This time we have new coins like NEIRO that can moon also but that is for another video .
Do not sleep on these coins and if u need any help or have any questions please just send me a message and I will be happy to try my best to help .
Have a great weekend
MartyBoots
Community ideas
$AMD Chart Setup: A Strategic Play Ahead of Advancing AI Event.As we approach AMD’s highly anticipated Advancing AI event this Thursday, the market may soon see the company in a whole new light. Historically, these events tend to prompt a "sell the news" reaction, giving us the opportunity to front-run the event throughout the week.
The chart is setting up nicely with a confirmed wedge breakout, supported by strong bullish volume on both daily and weekly candles. If the stock goes flat or even sells off ahead of the event, it could present a bullish opportunity for us to capitalize on, if it continues to run, could be a short opportunity as the move could be priced in.
My positions are as follows:
Calls over $171.21, with targets at $177.55 and $185.
Puts under $164.42, with targets at $162.58 and $154.49.
Let’s stay sharp and position ourselves for what could be a pivotal moment for NASDAQ:AMD this week. Cheers.
How I stopped strategy hopping by creating my own strategyIn the fast-paced world of trading, many of us, especially when beginning our journey, we find ourselves caught in a relentless cycle of strategy hopping. We jump from one strategy to another, lured by the promise of quick profits. However, this constant shifting often leads to frustration, a sense of not making any progress, and most importantly, a lack of consistent results.
I experienced this firsthand as I back-tested, forward-tested, and executed various trading systems, on demo and live accounts, each time hoping for better outcomes but always ending up not meeting expectations and feeling more or less stuck in the same position of having to find a profitable trading strategy. Eventually, after having tried many different systems that I found online, I decided to finally try to create my own and this time stick to a single system for a prolonged period of time.
This idea/publication explores my journey on how I created this simple trading strategy and how I used my engineering background to create a semi automated-trading system around it. And just to clarify, this is not financial advice, this should serve as an idea. If you want to try this out, do so at your own risk, after understanding the concept and after testing. I’m still testing this myself, but in theory it’s sound, and so far in my forward-testing is performing very well!
Scalping, Day trading, Swing trading, Fibonacci levels, Support/Resistance levels, round psychological levels, Bollinger bands, EMAs, RSI, MACD, ICT, Smart money concepts, algo-trading, forex, crypto, indices, metals, multi-timeframe analysis, etc, etc.
I’ve traded in these timeframes: D, 8h, 4h, 2h, 1h, 30m, 15m, 5m, 1m, and I’ve explored quite a few different strategies based on the concepts I just dumped above so I don’t bore you with every single case, and so based on that experience I’m taking a few considerations before creating my strategy.
First, I’ll be trading forex, metals, and maybe crypto and indices. Personal choice. But there’s no reason this shouldn’t work in any other market.
Second, I personally need to be more consistent on when it comes to analyzing the charts. So, for now let’s say that I’ll “log-in” every day, Monday-Friday, some amount of time during NY session.
Third, I’ve learned that multi-timeframe analysis is better than analyzing only one specific timeframe, so I’ll include that.
Next, I know there are different approaches, but from my perspective the market is either trending or not trending (aka consolidating; bouncing between two levels, imperfectly). I guess it’d be great to have one strategy for trending markets and one for markets that are in consolidation, but for now I’m specifically picking a trend-following strategy.
I found that following the trend can be very rewarding, especially when you catch it from the start or near it and are able to exit right before it ends (that’s the tricky part, but we’re only talking theory for now). So a totally reasonable idea would be to try to enter the market on pull-backs, while expecting the price to continue in the direction of the main trend. So a Fibonacci retracement tool sounds ideal for this method.
I’d like to somehow incorporate algo-trading up to some extent. I have a software engineering background, so it comes natural for me to try to create or adjust an existing trading bot to execute operations for me. But the issue I always had was creating a trading bot to spot good opportunities. It is just not easy to achieve, for any trading strategy. And that is because of the constantly changing nature of the markets. It requires subjectivity by a human to some extent when it comes to reading, understanding the market and predicting a direction.
💡 So with that said, now, two very important ideas I realized that this system exploits.
1. You don’t need to know exactly up to where price is going to retrace to on the Fibonacci tool. You can bet on more than one level.
2. You don’t need to create a trading bot that “fully” automates trading. It can only handle the part of managing the position(s).
Let me explain.
With the Fibonacci Retracement tool the trader is free to choose however many levels they want to visualize. And that is great, but it’s not easy to predict accurately and consistently up to which level price is going to retrace. We might miss some trades if we bet on a bigger pull-back and price continues on the trend without hitting our entry, or, we might experience some losses if we bet on a smaller pull-back and price decides to retrace more, and then continue on the same trend direction (which is even more painful to see lol). So the idea here is to place more than one order based on a few different fib levels. Managing more than one position can be challenging, but that’s when the next idea comes into play.
“Semi” automating the strategy with the help of a trading bot. As I mentioned previously, at least for me it has been difficult to create a trading bot that can reliably match the trading opportunities that I would find. Sometimes the bot would find good opportunities, but some other times it would find opportunities that wouldn’t make sense to take because of other reasons (price close to some Support/Resistance level, news, different direction on higher timeframes, etc) and if all of those reasons were taken into account that would increase the complexity of the code and most of the time the actual opportunities found by the bot would decrease (including the good ones!). So it’s a trade-off.
On the other hand, managing the position(s) is totally doable for a trading bot. Managing one or more open positions or pending orders is done after confirming a trading opportunity, so a trading bot can do precisely what a human would do based on the same conditions. And creating that kind of bot is not that complicated to achieve.
So with all of that in mind I started writing some rules for the trading strategy.
Timeframe for entries: 15m
Multi-timeframe analysis: D, 4h, 1h, 15m
I’ll be spotting opportunities around NY session open
I’ll need a trading bot to manage the positions for me so I don’t stare at the charts for too long (not because I don’t want to, but because apart from having other things to do it wouldn’t improve the outcome! + that the trading bot is much better at handling its emotions :wink)
I’ll focus on EIGHTCAP:XAUUSD first and maybe later I’ll apply this strategy to other markets.
Let’s focus for a bit on the fib tool and the positions for now. The screenshot below shows the levels that I’m using. And for now I’m just betting on 3 positions. Again, managing more than one position can be tricky, but I’m relying on the fact that a trading-bot can help us in this part which is easy for the bot to handle. And apart from that we only have one position open at a time so it’s not actually that hard as it might sound if we don’t want to use a trading bot.
Of course no system is perfect, so losses are expected. But I’m positioning myself in a way that my wins will cover my losses and give me good profit. In consequence, risk management is very important. With every bet or fibonacci tool I place and open X positions (in this case 3) I want to make sure that in total I’m not risking more than 0.5% of my total account balance. This part depends on the trader, some traders can tolerate bigger draw-downs, and so they can risk more % per position, others risk less, I personally like 0.5% for now.
At the time of writing this I’m testing with the following risks:
Position 1 (2.3R if TP hit): 0.10% of the account balance
Position 2 (3.6R if TP hit): 0.18% of the account balance
Position 3 (4.2R if TP hit): 0.22% of the account balance
With those positions placed these things can happen:
1. Price doesn’t retrace enough to trigger any of the pending orders and continues in the same direction of the trend. In that case, when there’s a new higher high or lower low we just cancel our pending orders and analyze again to spot new opportunities.
2. Price retraces enough to hit all of our SL resulting in a loss of the 3 positions (-0.50%)
3. Only Position 1 gets triggered and we go to TP (2.3R * 0.10% = 0.23% gain)
4. Position 2 gets triggered and we go to TP (-0.10% + 3.6R * 0.18% = 0.55% gain)
5. Position 3 gets triggered and we go to TP (-0.10% - 0.18% + 4.2R * 0.22% = 0.64% gain)
Nothing to do with alternatives 1 & 2 as it’s normal for us to lose or miss an opportunity sometimes. With alternative 3 we have a small gain. And with alternatives 4 & 5 we have a slightly better gain than our total risk of 0.50%. Now all of that might not sound ver impressive and it’s because this follows the fixed position way of managing the positions. Trailing the SL many times can produce much better returns when managed properly. But more on that later.
Possible winning example below using ATR trailing SL.
But let’s stick to the fixed positions for now to understand and get used to the system first and then you can let the bot do the management with the trailing SL method. Now why those specific risk %s for those 3 positions? The reasoning is that in my recent trading I’ve noticed that price tends to retrace enough to trigger either my Position 2 or my Position 3 more often than triggering only my Position 2. So it makes more sense to me to add slightly higher risk on those to increase profit. However, in my experience, in the higher timeframes price retraces even to the 38.2% level to then continue in the same trend direction more often than on the lower timeframes.
But this part as I said depends on the trader, if you decide to incorporate this strategy/system to your trading you are free to choose different risk % per positions.
Additionally, you could even open more positions (again, relying on the trading bot for position management), and of course following a good risk management plan by adjusting the risk for all positions and sticking to a total of less than 2% risk per fib tool placement. But this also depends on the trader.
Sometimes price does like to ‘grab liquidity’ by retracing slightly more than the 100% level, hitting my last SL, and then continue on the trend direction we placed our bet on. However, I think that 3 positions is enough, at least for me, specially in the lower timeframes.
Let’s focus on the trading bot for a bit now. As I said the bot should only manage my positions so I need a way to turn it on when I spot a good opportunity and then let it run until the position hits SL or TP, or it gets closed because of another reason. In this case I developed two systems. One is with fixed SL and TP, and one is with managing the position(s) with a trailing SL. The trailing SL is based on the current ATR value, but this could be expanded even further to another method of trailing SL based on specific levels the user provides (e.g. when in 1.4R move SL to break-even, when in 2R move SL to 1R, etc).
For now I tested with fixed positions and with ATR trailing SL and they both work great and are profitable. The rules can be extended even more, for instance you choose the ATR trailing SL method and still place TP on the -27% or on the -61.8% fib levels so positions fully close on those levels, or you could close partially let’s say 30% when TP1 is hit (0% fib level) and then keep trailing, etc. There are many variations, and those can be handled by the bot based on the initial configuration.
So on how the actual trading bot works. I developed a PineScript strategy that fires alerts that I can use with a service like PineScript to execute the operations but I found that those services most of the time don’t allow managing multiple positions at once and have other complications. So I created my own webhook server that receives the alerts and I also developed an EA that receives that information and executes the operations but this is still in testing phase and is not ready for use unless you have advanced technical knowledge. I’m thinking of ways to make this available however and would love some thoughts/feedback/suggestions!
This strategy can still be applied even without a trading bot. However the trading bot would make the system much better and allow for more time to maybe analyze different markets and take on more trading opportunities, or just focus on other stuff.
So to put all of this together now we’re only missing the part of spotting the opportunities. There are different ways, I personally just look for trends. I rely on simple price action (for uptrend I want to see clear higher highs and higher lows, and for downtrend I want to see clear lower lows and lower highs), a smoothed Heikin-Ashi EMA, and sometimes on the ADX indicator to see how strong the trend is.
In the example below I show my thought process while applying this strategy on a forward-testing phase. This is exactly how I saw the chart when I logged-in for my trading session a few days ago.
In the higher timeframes I checked that there is room for price to keep going up, that means that there shouldn’t be a S/R level or round psychological level near price. Having also analyzed higher timeframes and seen that it makes sense for price to continue this uptrend I decided to place my fib tool. I usually consider wicks too. So I place the first fib limit on the higher low, and the second fib limit on the higher high.
Having placed the fib tool and created the pending orders now we need to wait for price to trigger our positions. But sometimes price is not done and keeps going up, invalidating our higher high (or lower low on a downtrend).
When that happens we just need to stay focused on when price closes to see if a new higher high has been formed. If that happens we simply update our fib tool placement, and update the pending orders (entry, SL, & TP). This is a condition that the trading bot can probably handle. Eventually price will make it clear where the higher high is, and we finally see a retracement.
And now we wait… but still focused in case we need to adjust our fib tool and pending orders if price is not yet retracing.
Price drops with a strong move. Now we just step away, we already have the positions placed with SL and TP. We did our analysis, and so we don’t need to look at the charts and let any negative emotions gain control. At this point with fixed positions we can just close the charts and give an end to this trading session. And if using the trailing SL method we just leave it to the trading bot to manage the positions. In this case I was just testing the fixed positions and it unfolded into a win for the 3rd position. So overall about a 0.64% gain (the best alternative).
So this is it. This covers the base of this strategy and my thought process while creating the rules for this system. It can be adjusted to different timezones as well, different markets depending on the asset type, etc. I’ve been forward-testing this strategy and system for a few weeks so far and it seems very promising. And I couldn’t wait any longer to share this idea in hopes that you can learn at least something from everything I shared. I’d also love to hear if anyone would be interested in using a system like this with the actual trading bot, so I can plan best on how to make it accessible to other users that don’t have technical/engineering knowledge.
In conclusion, I shared my journey from strategy hopping to creating my own trading strategy based on my own needs. By exploring the key ideas of leveraging the Fibonacci retracement tool to bet on multiple positions and embracing a semi-automated approach, I’ve developed a system that aligns with my trading style and allows for necessary flexibility in response to market changes.
If you find yourself caught in the cycle of strategy hopping, or don’t see the results you expected (be reasonable though!) I urge you to reflect on what you truly want from your trading experience. Consider creating your own strategy that aligns with your objectives and trading style! And feel free to take ideas from this article to build your own system. Share your thoughts and experiences in the comments below. I’d love to hear it, any thoughts/feedback or suggestions are appreciated. Looking forward to the discussion.
Thanks, and good luck!
Creating a Balanced Investment PortfolioCreating a Balanced Investment Portfolio
In the vast realm of trading, where platforms like FXOpen play a pivotal role, strategy and skill stand paramount. As the age-old adage goes, 'Don't put all your eggs in one basket.' In the context of trading, this underscores the significance of diversification. Enter the concept of a balanced investment portfolio - an excellent balanced portfolio example, which emerges as an oasis of hope amidst the unpredictable dunes of market volatility.
Understanding the Importance of a Balanced Investment Portfolio
To achieve a balanced investment portfolio, it's crucial to consider the balance of individual components, especially forex, CFDs, stocks, and bonds. For example, a stock portfolio balance refers to the proportion of stocks in relation to other investment types. This balance is pivotal, as stocks often carry higher risks but also higher potential rewards. By understanding their own risk tolerance and learning how to balance portfolio assets effectively, traders can determine the ideal portfolio balance that meets their specific objectives.
Building the Foundation: Investment Basics
Every experienced trader knows that the world of investments is vast, presenting myriad opportunities. Some of the primary investment types include:
- Stocks: These signify ownership in a company and constitute a claim on a fraction of its assets and earnings.
- Bonds: Essentially, when you invest in bonds, you're loaning your money, either to a corporation or the government, in exchange for periodic interest payments plus the return of the bond's face value when it matures.
- Real Estate: Investing in tangible land, buildings, or housing. Given its physical nature, it often acts as a hedge against more volatile markets.
- Mutual Funds: These funds pool money from several investors to invest in a diversified portfolio of stocks, bonds, or other securities.
Central to investment basics is the risk-return tradeoff. Essentially, it highlights that the potential return on any investment is directly proportional to the risk associated with it. In this matrix, diversification emerges as the most effective strategy, helping to spread and, in turn, mitigate risk.
Asset Allocation Strategies
Asset allocation might seem like a complex term, but at its core, it's about ensuring that your portfolio reflects your investment portfolio balance, harmonising your desired risk and reward.
1. Modern Portfolio Theory (MPT)
Introduced by the visionary economist Harry Markowitz in the 1950s, the Modern Portfolio Theory (MPT) has since established itself as a seminal concept in portfolio management. Groundbreaking for its time and still influential today, MPT hinges on a principle that feels intuitive yet was revolutionary upon its debut: diversifying investments to maximise returns while judiciously managing the associated market risk. Central to the MPT is the construct of the 'Efficient Frontier'.
This captivating concept represents a boundary in the risk-return space where portfolios lie if they offer the highest expected return for any given level of risk. In essence, any portfolio residing on the Efficient Frontier is deemed optimal, reflecting a balance where no additional expected return can be achieved without accepting more risk.
2. Strategic Asset Allocation
Here, traders establish a base policy mix — a proportional combination of assets based on expected rates of return for each asset class. It’s a long-haul game, adjusting the portfolio as long-term goals or risk tolerance evolve.
3. Tactical Asset Allocation
A more active management portfolio strategy, this method tries to exploit short-term market conditions. It involves shifting percentage holdings in different categories to take advantage of market pricing anomalies or strong market sectors.
Diversification
In the complex world of investing, understanding how to balance a portfolio is key. Diversification is the guardian against unpredictability. It is the art of spreading investments across various assets or sectors, ensuring that potential adverse events in one area won't unravel the entire portfolio's performance. Essentially, diversification is the protective shield that buffers against market volatility, offering a more stable and consistent growth path for traders.
Geographical Diversification
Globalisation has knit economies closer than ever before, yet each retains unique characteristics influenced by internal and external events. By diversifying investments across continents and countries, traders can leverage these unique attributes.
Sector Diversification
Beyond geography, the global market is segmented into various sectors — technology, healthcare, and finance, to name a few. Each has its growth trajectory, impacted by different factors. Spreading investments across sectors can hedge against unforeseen adversities.
Individual Asset Selection
The keystone of a robust portfolio is the judicious choice of individual assets. Beyond the broad strokes of diversification, the meticulous selection of each asset determines the portfolio's potential success. It's where profound understanding meets strategic decision-making, ensuring that every asset, be it a stock, bond, or commodity, is handpicked to serve the trader's overarching goals and vision. Proper research, encompassing financial performance, management quality, growth potential, and market trends, provides insight, reducing the chances of unwelcome surprises.
Risk assessment is another crucial part of individual asset selection. Risk is an inherent part of investing. However, with rigorous risk assessment, traders can anticipate potential pitfalls. Evaluating the risk associated with each asset and its correlation with others in the portfolio helps in achieving the desired balance.
Monitoring and Rebalancing
In the dynamic dance of markets, continuous oversight and timely adjustments keep a portfolio's rhythm and harmony intact.
- Regular Portfolio Review. The world doesn't stand still, nor do the markets. Regular reviews ensure that the portfolio aligns with the trader's goals and market realities.
- Rebalancing Strategies. Over a period of time, certain investments will experience more rapid growth than others. This can shift the portfolio’s balance, necessitating rebalancing. Rebalancing, whether by reinvesting dividends or selling assets that have appreciated to buy those that have declined, ensures alignment with the desired risk levels and asset allocation strategy.
Conclusion
Crafting a balanced trading portfolio is an art backed by science, strategy, and due diligence. It's an ongoing process requiring constant monitoring and fine-tuning. By keeping a finger on the pulse of global trends, understanding risks, and staying committed to their goals, traders can navigate the choppy waters of global markets effectively. For those eager to embark on or deepen their trading journey, FXOpen offers the platform and tools. To initiate this exciting endeavour, you can open an FXOpen account and explore the dynamic offerings of the TickTrader platform.
This article represents the opinion of the Companies operating under the FXOpen brand only. It is not to be construed as an offer, solicitation, or recommendation with respect to products and services provided by the Companies operating under the FXOpen brand, nor is it to be considered financial advice.
7 Ways to Optimize Your Trading Strategy Like a ProYou’ve got a trading strategy—great. But if you think that’s where the work ends, think again. A good strategy is like a sports car: It’s fast, fun, and dangerous… unless you keep it tuned and under control. And given how volatile modern trading is, yesterday’s strategy can quickly become tomorrow’s account-drainer. So, how do you keep your trading strategy sharp and in profit mode? Let’s dive into seven ways to fine-tune your setup like a pro.
1️⃣ Backtest Like Your Profits Depend on It (Spoiler: They Do)
Before you let your strategy loose in the wild, backtest it against historical data. It’s not enough to say, “This looks good.” Run the numbers. Find out how it performs over different time frames, market conditions, and asset classes — stocks , crypto , forex , and more. If you’re not backtesting, you run the risk of trading blind — use the sea of charting tools and instruments around here, slap them on previous price action and see how they do.
💡 Pro Tip : Make sure to backtest with realistic conditions. Don’t cheat with perfect hindsight—markets aren’t that kind.
2️⃣ Optimize for Risk, Not Just Reward
Everyone gets starry-eyed over profits, but the best traders obsess over risk management. Adjust your strategy to keep risk in check. Ask yourself: How much are you willing to lose per trade? What’s your win-loss ratio? A strategy that promises massive returns but ignores risk is more like a ticking time bomb than a way to pull in long-term profits.
💡 Pro Tip : Use a risk-reward ratio of at least 2:1. It’s simple: risk $1 to make $2, and you’ve got a buffer against losses. Want to go big? Use 5:1 or why not even 15:1? Learn all about it in our Asymmetric Risk Reward Idea.
3️⃣ Diversify Your Strategy Across Markets
If you’re only trading one asset or market, you’re asking for trouble (sooner or later). Markets move in cycles, and your strategy might crush it in one but flop in another. Spread your strategy across different markets to smooth out the rough patches.
💡 Pro Tip : Don’t confuse this with over-trading. You’re diversifying, not chasing every pop.
4️⃣ Fine-Tune Your Time Frames
Your strategy might be solid on the 1-hour chart but struggle on the 5-minute or daily. Different time frames bring different opportunities and risks. Test your strategy across multiple time frames to see where it shines and where it stumbles.
💡 Pro Tip : Day traders? Shorten those time frames. Swing traders? Stretch ’em out. Find the sweet spot that aligns with your trading style.
5️⃣ Stay Agile with Market Conditions
No strategy is perfect for every market condition. What works in a trending market could blow up in a range-bound one. Optimize your strategy to adapt to volatility, volume, and trend shifts. Pay attention to news events , central bank meetings, and earnings reports — they can flip the script fast.
💡 Pro Tip : Learn to identify when your strategy isn’t working and take a step back. Not every day is a trading day.
6️⃣ Incorporate Multiple Indicators (But Don’t Go Overboard)
More indicators = more profits, right? Wrong. It’s easy to fall into the trap of loading up your charts with a dozen indicators until you’re drowning in lines and signals. Keep it simple — combine 3 to 5 complementary indicators that confirm your strategy’s signals, and ditch the rest.
💡 Pro Tip : Use one indicator for trend confirmation and another for entry/exit timing.
7️⃣ Keep Tweaking, But Don’t Blow Out of Proportion
Here’s the rub: There’s a fine line between optimization and over-optimization. Adjusting your strategy too much based on past data can lead to overfitting — your strategy works perfectly on historical data but crashes in live markets. Keep tweaking, but always test those tweaks in live conditions to make sure they hold up.
💡 Pro Tip : Keep a trading journal to track your tweaks. If you don’t track it, you won’t know what’s working and what’s not. Get familiar with the attributes of a successful trading plan with one of our top-performing Ideas: What’s in a Trading Plan?
💎 Bonus: Never Stop Learning
The market’s constantly changing and your strategy needs to change with it. Keep studying, keep testing, and keep learning. The moment you think you’ve mastered the market is the moment it humbles you.
Optimizing a trading strategy isn’t a one-and-done deal—it’s an ongoing process. By fine-tuning, testing, and staying flexible, you can keep your strategy sharp, profitable, and ahead of the curve. Optimize smart, trade smart!
30% to 60% Upside Coming for Natty (Divergence Strategy)A powerful monthly bullish divergence just confirmed on natty.
We see that the CCI had a monthly close which confirmed the bullish divergence setup. In this video I review how to determine targets with this strategy, and how to determine your risk.
I anticipate a minimum 30% rally from current prices for natty, possibly heading up 60% from here. This doesn't mean this market won't have a pullback in the meantime. In my opinion, pullbacks are for buying until these price targets are reached.
If you have any questions about this strategy, feel free to shoot me a message.
Have a great week.
The British Pound Is Stronger than the US DollarThe British Pound Is Stronger than the US Dollar: Understanding the Reasons
GBP/USD is the third most actively traded currency pair on the foreign exchange market, after EUR/USD and USD/JPY. It is also one of the oldest pairs traded on forex. The British pound continues to cost more than the US dollar, despite the dollar overtaking it as the global reserve currency.
Why is the British pound stronger than the US dollar? In this FXOpen article, we look at the GBP/USD pair and the factors that keep the British pound strong to help you understand how to trade it.
What Is the GBP/USD Pair?
Currencies are always traded in pairs on foreign exchange markets. GBP/USD refers to the value of the British pound sterling against the US dollar – specifically, how many US dollars traders need to buy one pound. For example, if the GBP/USD exchange rate is 1.28, a trader would need $1.28 to buy £1. How come the British pound is always stronger than the US dollar? The answer is rooted in history.
A Brief History of the GBP/USD Pair
Until World War I, the British pound was the global reserve currency, accounting for over 60% of the world’s debt holdings. It was valued at just under $5. After the war, the US dollar began to strengthen, and by 1944, when the Bretton Woods system was introduced, the pound was pegged at $4.03. The Bretton Woods system fixed the US dollar to the gold price and established it as the unofficial global reserve currency.
After World War II, the value of the USD began to rise, and it overtook GBP as the primary currency used in international trade. The Bretton Woods system began to slowly collapse after 1971, and both the GBP and USD became free-floating, with the US dropping the gold standard. This has resulted in the value of the GBP gradually sliding over the following decades.
The free-float rate made the GBP/USD pair highly volatile.
The pound sterling reached a high of 2.08 against the dollar in 2007 during the global financial crisis, as higher UK inflation raised expectations that the Bank of England would raise interest rates.
In June 2016, the UK’s vote to leave the European Union drove the value of the pound down to the 1.20–1.25 area overnight. That was its lowest level since the collapse of the exchange rate mechanism in 1985 and the largest one-day decline since the end of Bretton Woods. The GBP/USD pair has since largely traded between 1.20-1.40. A notable exception was the start of the COVID-19 pandemic, when investors flocked to the safe haven US dollar amid uncertainty about the economic impact, and the pound fell to 1.16 against the USD.
COVID-19 shutdowns and the loss of European trade following Brexit have weighed on the prospects for the UK economy. At the same time, geopolitical tensions such as the US-China trade war and the Russia-Ukraine conflict have lifted the value of the dollar, as have rising interest rates.
In 2022, the Bank of England was forced to intervene as the value of sterling fell close to a record low of 1.035 against the dollar in response to a crisis of confidence in the UK government, high inflation and unemployment rates, and concerns regarding the domestic economy. However, by April 2023, the pound had recovered and became the best-performing G-10 currency of the year. According to Forbes, the British pound is the world’s fifth strongest currency, while the US dollar is the 10th strongest. The GBP/USD pair has primarily been trading around 1.20-1.30 so far in 2023. Why is the pound still stronger than the dollar?
Is GBP Stronger than USD?
Why is the pound more expensive than the dollar? The value of the GBP against the USD in forex doesn’t solely determine the strength of the US and UK economies. Analysts consider other factors that can question the strength of the pound.
Nominal Value
A currency’s nominal value refers to its value against another currency in forex. As was mentioned above, the nominal value of both currencies changed significantly over time. Although GBP was always more expensive than the US dollar, this conclusion is relatively arbitrary. Also, it’s worth considering the lower number of British pounds in circulation, which is worth £81 billion, compared to $2.33 trillion US dollars, which contributes to the higher value of GBP as of May 2023.
Relative Strength
The strength of a particular currency against another at any point in time is also relative, as it could actually be weaker against other currencies. For example, GBP could rise in value against USD but fall against EUR, AUD and JPY, which would suggest that the relative value of the pound is weaker – just not as weak as the USD. This is because the relative strength is determined not only by the value of one currency against another but by economic data, including inflation, economic growth, and the trade balance, which determine the strength of the overall economy.
To gauge a currency’s real strength, analysts track its value in relation to multiple currencies over time. For instance, the Dollar Index (DXY) measures the value of the USD against a basket of currencies from its key trading partners and competitors, as this is a more accurate measure of its value than a single pair.
Quoting Conventions
The use of GBP/USD as the quoting convention reflects the pound’s strength. For instance, a GBP/USD quote of 1.25 signifies that $1.25 is needed to buy £1.
This quoting convention originated in the late 1900s during the British Empire when the UK had a larger economy than the US. Despite the subsequent shift in economic power, this convention has endured. Since World War I, the US economy has surpassed the UK economy in terms of size.
Modifying quoting conventions is challenging, given how entrenched they are in the financial industry. However, the tradition of quoting GBP/USD in itself does not determine the value of the pound and the dollar.
Purchasing Power Parity (PPP)
While the GBP/USD trading value suggests the pound is stronger, the purchasing power parity (PPP) fluctuates. PPP indicates how much a currency is worth based on the value of a basket of goods. In these terms, the dollar can be stronger than the pound.
The concept underlying PPP is that the exchange rate should equalise the purchasing power of each currency within its respective country. For instance, if a basket of items costs £100 in the UK with a GBP/USD exchange rate of 1.15, the PPP would suggest that the equivalent cost of the same basket in US dollars should be $115.
In practice, exchange rates frequently diverge from their PPP levels. The degree to which a currency such as GBP or USD deviates from its PPP indicates its relative strength or weakness against another currency.
Global Economy
Although the US economy is stronger than that of Great Britain, sterling’s history as the former global reserve currency and political and economic power have contributed to its strength. The pound is one of the world’s oldest currencies, having been introduced in the 1400s. The UK remains a major global financial centre, and the Bank of England continues to participate in international economic developments.
What Factors Affect GBP/USD
There are several factors that affect the value of the British pound and US dollar:
- US Federal Reserve monetary policy
- Bank of England monetary policy
- Inflation rate, which has a strong impact on the interest rates
- Employment data, which influences government fiscal policy
- Geopolitical events
- Other economic indicators, including retail sales and industrial production
Does It Matter If GBP/USD Falls Below Parity?
A weaker sterling could support UK exports, but it would also increase the cost of imported goods and drive up inflation. The Bank of England would be forced to intervene to contain inflation. As seen in 2022, there is also a risk that a sharp drop in the pound’s value could become disorderly, which could create political and economic turmoil.
However, if the value of the pound fell below the dollar, it would be a psychological milestone for the UK, but it would not have a major impact on the forex market.
Conclusion
The British pound sterling has traditionally maintained a higher value against the US dollar because of historical convention. However, the US dollar is stronger overall as it is the world's reserve currency and has larger trading volumes. The GBP/USD exchange rate has been in a long downtrend. Therefore, there are risks that GBP will soon lose its nominal premium.
Understanding how the British pound is stronger than the US dollar can help you to form strategies to trade the GBP/USD forex pair. By observing economic indicators, you can take a view on how you expect the market to move.
If you are looking to trade forex markets, you can open an FXOpen account. The TickTrader platform allows you to analyse live price charts and trade a range of currency pairs.
This article represents the opinion of the Companies operating under the FXOpen brand only. It is not to be construed as an offer, solicitation, or recommendation with respect to products and services provided by the Companies operating under the FXOpen brand, nor is it to be considered financial advice.
How to Trade Gap Up and Gap Down Opening? Full Guide
What is gap up and gap down in trading?
In this article, I will teach you how to trade gap up and gap down opening . You will learn a simple and profitable gap trading strategy that works perfectly on Forex, Gold or any other financial market.
First, let's start with a theory .
A gap up after the market opening is the situation when the market opens higher than it was closed without any trading activity in between.
Above you can see the example a gap up after the market opening on EURGBP.
The price level where the market closed is called gap opening level.
The price level where the market opened is galled gap closing level.
A gap down after the market opening is the situation when the market opens lower than it was closed without trading activity in between.
Here is the example of a gap down after the market opening on WTI Crude Oil.
Why such gaps occur?
There are various reasons why opening gaps occur.
One of the most common one is the release of positive or negative news while the market was closed.
The market opening price will reflect the impact of such news, causing a formation of the gap.
What gap opening means?
Gap openings reflect the sudden change in the market sentiment.
Gap up will indicate a very bullish sentiment on the market while
a gap down will imply very bearish mood of the market participants.
However, the markets do not like the gaps.
With a very high probability, the gaps are always filled by the market very soon.
We say that the gap is filled, when the price returns to the gap opening level.
Above, you can see that after some time, EURGBP successfully closed the gap - returned to gap opening level.
Such a pattern is very reliable and consistent among different financial markets. For that reason, it can provide profitable trading opportunities for us.
You can see that a gap down on WTI Crude Oil was quickly filled and the price returned to the gap opening level.
How to trade gap opening?
Gap Up Trading Strategy
Once you spotted a gap up after the market opening, you should wait for a bearish signal before you sell.
You should look for a sign of strength of the sellers.
One of the most accurate signals is a formation of a bearish price action pattern:
Double top,
Triple top,
Inverted Cup and Handle,
Head and Shoulders,
Symmetrical or Descending Triangle,
Rising Wedge...
Bearish breakout of a trend line / neckline of the pattern will be your signal to sell.
Look at a price action on EURGBP before it filled the gap.
At some moment, the price formed a double top pattern and broke its neckline. That is our signal to sell.
Your stop loss should lie above the highs of the pattern.
Take profit - gap opening level.
Safest entry is on a retest of a broken neckline/trend line of the pattern.
Safest entry point on EURGBP is the retest of a broken neckline of a double top pattern. Stop is lying above its highs. TP - gap opening level.
Gap Down Trading Strategy
Once you spotted a gap down after the market opening, you should wait for a bullish signal before you sell.
You should look for a sign of strength of the buyers.
One of the most accurate signals is a formation of a bullish price action pattern:
Double bottom,
Triple bottom,
Cup and Handle,
Inverted Head and Shoulders,
Symmetrical or Ascending Triangle,
Rising Wedge...
Bullish breakout of a trend line / neckline of the pattern will be your signal to buy .
Let's study the price action on WTI Crude Oil before it filled the gap.
You can see that the price formed a cup and handle pattern.
Bullish breakout of its neckline is a strong bullish signal.
Safest entry is on a retest of a broken neckline/trend line of the pattern.
Your stop loss should lie above the lows of the pattern.
Take profit - gap opening level.
Following this strategy, a nice profit was made.
Always remember that probabilities that the gap will be filled are very high. However, it is not clear WHEN exactly it will happen.
For that reason, you should carefully analyze a price action and wait for a signal, before you open the trade.
That will be your best gap opening trading strategy.
❤️Please, support my work with like, thank you!❤️
Apple Stair-Steps Toward a Potential BreakoutApple could be stair-stepping toward a potential breakout as a big month approaches.
The first pattern on today’s chart is the pair of rallies and pullbacks since early August. Both times the smart-phone giant bounced at a 50 percent retracement of the upward move. (See the green arrows.) Does that reflect the presence of an uptrend?
Next, AAPL is holding above its 21-day exponential moving average and 50-day simple moving average. That may reflect the presence of bullish uptrend.
Third is the 2023 high of $199.62. The stock broke through that resistance in June after announcing AI support at its Worldwide Developers Conference. It then found support around that old resistance last month.
The first AI features are expected to appear in October, along with quarterly results. Traders looking for a breakout may look to those catalysts for cues.
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THE MUST-SEE CHART YOU DIDN'T KNOW YOU NEEDED!The TVC:VIX VIX (Volatility Index), often referred to as the "Fear Gauge," measures market volatility expectations based on options prices for the SP:SPX S&P 500 index over the next 30 days. It reflects the sentiment of market participants about future volatility, with higher values indicating more anticipated volatility (often associated with market fear or uncertainty) and lower values reflecting calm market conditions.
Investors frequently use the TVC:VIX VIX as a tool for assessing market risk, especially during periods of market turbulence or significant economic events. Since it tends to rise when the stock market declines, it is often seen as a hedge against market downturns. It's important for traders and analysts, particularly in the context of options trading and for assessing overall market sentiment.
The TVC:VIX VIX's relationship with the cryptocurrency market, particularly with BNC:BLX Bitcoin and other major assets, can offer insights into market sentiment across traditional and digital financial spaces. While the TVC:VIX VIX primarily reflects volatility in the U.S. equity market, changes in its level can indirectly impact cryptocurrencies in the following ways:
1. Market Sentiment Correlation:
High VIX: A rising VIX indicates fear or uncertainty in traditional markets. In times of high volatility, investors tend to move away from risky assets, including cryptocurrencies, leading to potential sell-offs in both markets. However, some may consider Bitcoin a hedge during extreme cases of fear, driving demand as a "digital gold" asset.
Low VIX: A lower VIX reflects calm and stability, which may encourage investors to take on more risk. This could benefit high-risk, high-reward assets like cryptocurrencies, potentially driving capital into Bitcoin, Ethereum, and other cryptos.
2. Liquidity and Risk-Off/Risk-On Dynamics:
In a risk-off environment (high VIX), institutional and retail investors often reduce exposure to volatile assets like crypto, leading to a potential liquidity crunch and sell-offs.
Conversely, a risk-on environment (low VIX) may signal that investors are more willing to take risks, increasing liquidity and driving up crypto prices.
3. Crypto's Evolving Correlation with Equities:
Over time, there has been an evolving correlation between the S&P 500 and Bitcoin, particularly during times of high macroeconomic stress (e.g., during the COVID-19 pandemic or interest rate hikes). As VIX tracks equity market sentiment, rising volatility in equities often spills into crypto markets.
In bull markets or periods of equity recovery, crypto markets may also benefit from an inflow of capital, reducing VIX levels and increasing crypto prices simultaneously.
4. Hedging and Diversification:
Some institutional investors use the VIX as part of their hedging strategy when managing portfolios with exposure to equities and cryptocurrencies. For example, a high VIX may prompt them to move into stablecoins or reduce exposure to speculative assets.
In the future, more sophisticated products like a "crypto volatility index" may emerge, mirroring the role of the VIX but for digital assets.
5. Macro Events:
Major macroeconomic events, such as central bank decisions or geopolitical events, can cause both the VIX to rise and have similar effects on crypto volatility. During such periods, correlations between traditional and digital markets may strengthen.
feargreedmeter.com
The VIX (Volatility Index) and the Crypto Fear and Greed Index serve similar purposes by gauging market sentiment, but they do so in different ways and in distinct markets. Below is a comparison between the two:
1. Purpose and Market Focus
VIX (Volatility Index):
Market: Traditional financial markets, specifically the S&P 500.
Purpose: Measures expected volatility in the S&P 500 over the next 30 days based on options prices. It’s often used as an indicator of fear or complacency in the U.S. stock market.
Focus: Short-term volatility expectations, acting as a “fear gauge” for equity market participants.
Crypto Fear and Greed Index:
Market: Cryptocurrency markets, with a strong emphasis on Bitcoin.
Purpose: Measures the emotional sentiment of the crypto market by analysing multiple factors to determine whether the market is driven by fear or greed.
Focus: Broader emotional sentiment rather than technical market volatility. It tracks how much fear or optimism is present among crypto traders.
2. Inputs and Calculation
VIX:
Derived from the implied volatility of options on the S&P 500. It looks at a range of call and put options to estimate expected price swings in the market.
Key Factors: Options market data, specifically the prices investors are willing to pay to hedge against future volatility in the stock market.
Crypto Fear and Greed Index:
Combines various inputs to capture overall market sentiment. These include:
Volatility: Tracks Bitcoin volatility and compares it with historical trends. Increased volatility is associated with fear.
Market Momentum/Volume: Rising buying volumes signal greed while declining volumes suggest fear.
Social Media Sentiment: Analyses mentions, hashtags, and engagement on social media related to crypto topics, reflecting hype or panic.
Surveys : Sometimes include survey data from market participants.
Dominance: Focuses on Bitcoin’s dominance in the market. Rising dominance suggests fear (as investors flock to Bitcoin for safety) while decreasing dominance implies a risk-on environment.
Google Trends: Looks at search query trends for cryptocurrency terms, reflecting public interest and sentiment.
3. Interpretation
VIX:
Higher VIX (>20): Indicates high expected volatility, often interpreted as fear in the market. Investors are anticipating larger price swings, usually in a negative direction.
Lower VIX (<20): Suggests a calm market with lower expected volatility, often indicating complacency or a bullish outlook in the equity markets.
Crypto Fear and Greed Index:
0-24 (Extreme Fear): Indicates significant fear in the crypto market. Traders may be overly concerned about price drops, which could lead to buying opportunities based on contrarian strategies.
25-49 (Fear): The market is still cautious, with more sellers than buyers.
50-74 (Greed): Optimism and confidence are high, with traders taking on more risk.
75-100 (Extreme Greed): Overconfidence or euphoria in the market. This is often seen as a warning that the market may be overbought, making a correction likely.
4. Time Horizon
VIX:
It focuses on expected short-term volatility (the next 30 days), meaning it's more of a short-term indicator of market swings.
Crypto Fear and Greed Index:
A broader measure of overall sentiment, not specifically tied to volatility or timeframes, it captures emotional extremes in the market that could persist for days, weeks, or longer.
5. Use Cases for Investors
VIX:
Used by traditional investors to gauge risk in the stock market. When the VIX is high, it can be a signal to hedge positions, reduce exposure to equities, or take advantage of volatility-driven strategies like options trading.
During periods of low volatility, investors may become complacent and could be blindsided by sudden spikes in the VIX, often driven by external events (e.g., geopolitical issues or economic reports).
Crypto Fear and Greed Index:
Helps crypto traders assess the general market mood. Extreme fear can signal potential buying opportunities (contrarian strategy), while extreme greed may indicate an overheated market, possibly a time to sell or de-risk.
Useful for emotional market analysis in a space that is known for strong, irrational sentiment swings, making it a helpful tool for timing market entries and exits.
6. Impact on Price
VIX:
Typically inversely correlated with stock prices. A rising VIX often accompanies a falling stock market, and vice versa.
Crypto Fear and Greed Index:
A sentiment indicator is not directly tied to price movements, but extreme readings can signal turning points or potential corrections in crypto prices due to market overreactions.
If you have any questions, please reach out!
Chinese Markets Come Roaring Back | +87% on $JD options trade! NASDAQ:JD Price action is a sign of strength today - whereas pundits said Chinese markets will open weak.
I love what we're seeing today and have updated our upcoming resistance points to consider profit taking.
They are as follows (est.): $46, $50, $60.
On continuing strong VOL, this name should continue to feel the love!
Q4 Kickoff - US down, VIX Up, Oil Drama, China RipQuick video recap to highlight what's the latest and greatest in the markets.
Oct 1 - Happy Q4
US Big Tech in "big red" today
US Energy in "big green" today - thanks for a wild bid on USOIL
China continues to rip "green" and it's playing catchup quickly
US will have to deal with employment news, inflation news, earnings news, all before the US Election and Nov 7 FOMC Rate Decision (expecting another 25 bps cut)
Major levels to the downside if there's a US market pullback, FOMC lows, gap fills, and up trendline levels (50 period SMA, 100 period SMA, 200 period SMA) but we'll see
Stay frosty out there :)
Thanks for watching!!!
Looking at the same movement higher lows swing tradeAfter a promising start since its IPO, it is now looking for no change unless it continues up and makes a newer high; based on the charts, on D, W, and M, it looks like a sideway upward moving channel, retrace to 35 before possible shift in direction.
Dollar Index Consolidation: Will NFP Trigger an Upside Breakout?Since its recent touch on the support zone back in August, the U.S. Dollar Index ( TVC:DXY ) has entered a period of consolidation, characterized by multiple attempts to break through this critical support level.
Despite several instances where the price briefly dipped below the technical support zone, each time, the market witnessed a strong reversal, with bulls stepping in to defend the level successfully.
From my perspective, we are nearing a potential upside reversal, and the upcoming Non-Farm Payroll report on Friday could serve as the catalyst for this move.
Currently, 102 is the key level to watch for confirmation of an upward breakout. Should the DXY break above this threshold, the next reasonable target would be around 104, marking a significant bullish shift in momentum.
Bitcoin Enters ‘Uptober’ After Exiting Q3 Flat: What to ExpectCrypto traders are keen to see another ‘Uptober’ — a term coined by the community to describe the outsized gains in Bitcoin prices for October. Historically, in eight of the last 11 Octobers the original cryptocurrency has pulled ahead big time. So what’s it gonna be this time? There’s a lot to unpack — let’s ride.
Bitcoin prices BTC/USD signed off for September at just over $63,000 per coin, with a modest (by crypto standards) 8% rise . But if you zoom out to wrap up the third quarter, you’ll see that prices stayed flat, tight-lipped and straight up boring. Bitcoin barely realized a gain — it went up by less than 1% for the September quarter but seesawed like there’s no tomorrow.
In true crypto fashion, the fire-breathing beast feeding on volatility went as low as $49,600 and as high as $70,000 — a wide gap of 40% from top to bottom. All who’ve been in crypto long enough are familiar with the stomach-churning volatility that can make even the most disciplined traders doubt their choices.
Speaking of volatility, traders are now bracing for what’s historically shaping up to be a solid month for Bitcoin gains. October, dubbed by crypto faithful as “Uptober,” is already here and brings with it a whole new wave of expectations.
Here’s why that is:
October 2023 — Bitcoin was up 27% .
October 2022 — Bitcoin was up 6%.
October 2021 — Bitcoin was up 40%.
October 2020 — Bitcoin was up 30%.
October 2019 — Bitcoin was up 10%.
October 2018 — Bitcoin was down 5%.
October 2017 — Bitcoin was up 50%.
October 2016 — Bitcoin was up 15%.
October 2015 — Bitcoin was up 38%.
October 2014 — Bitcoin was down 12%.
October 2013 — Bitcoin was up 69%.
What you see is that October performance is a thing — traders are already on the edge of their seats in anticipation of the next leg up. But before that, there’s a mosaic of data that needs to pan out.
Nonfarm payrolls (NFP) data (drops October 4): The good old jobs report will show how many new workers joined the US economy in September. Fairly low expectations this time — Wall Street is eyeballing 144,000 new jobs, about the same as the previous month . The NFP figure will be complemented by the unemployment rate, expected to stay flat month-on-month at 4.2%.
Consumer price index (drops October 10): US inflation is another big report that is likely to shake up the crypto landscape . For September, prediction gurus expect inflation to keep moving toward the Federal Reserve’s 2% target from an August clip of 2.5% . Lower inflation is good for solidifying prospects of interest rate cuts. And that is super good for the broader investment world, cash flows and overall liquidity across markets.
Retail sales (drops October 17): retail sales are a solid measure of consumer spending. The more people buy expensive watches and things they don’t necessarily need, the better reading this report will carry. In other words, a strong retail sales figure will breathe more confidence in investors looking to jam cash into risk assets (yes, crypto included ).
All that good stuff is likely to shape the trajectory of Bitcoin prices. But — and maybe even more important in the long run — these three data dumps will help the Federal Reserve decide if it’s a good idea to chop down the interest rate and how much, following the super-sized 50-bps slash . Rate moves and broad monetary policy decisions are likely to have an impact on Bitcoin, which has been increasingly sensitive to macroeconomic winds.
For the technical minds, there is an interesting technical analysis pattern that might be worth looking into. A descending parallel channel is in the works, tracing its origins back to March 14, 2024. Fun fact: that’s the all-time record high for Bitcoin when prices peaked at more than $73,000 a pop .
Since then, prices have been gradually losing their momentum, painting lower highs and lower lows. The latest bottom (September 6), which has provided enough resistance for a solid bounce, is sitting at $52,500. The next potential leg up is expected to take the price all the way up to around $67,000 in the short term, while the next potential leg down could pressure prices to a fresh low of $51,500 in the medium term.
As traders set their sights on "Uptober," excitement is in the air, but it's not all confetti and moon rockets. October has a track record of delivering some big numbers, yes. But keep in mind that it’s not just a monthly performance number — behind it is an underlying force that has powered the price. So, should you blindly trust in historical performance? You could. But more importantly, you’ll likely be better off by preparing for what’s coming.
GOLD is Setting Up For LONGS! Prepare to BUY!Price is pulling back to the Daily +FVG, which is nested in the Weekly +FVG, which is intersected by the Swing High. Three strong confluences for a high probability LONG.
Be patient, look for price to contact the POI, and then let your valid buy setup form.
Let the rest unfold.
Enjoy!
May profits be upon you.
Leave any questions or comments in the comment section.
I appreciate any feedback from my viewers!
Like and/or subscribe if you want more accurate analysis.
Thank you so much!
Disclaimer:
I do not provide personal investment advice and I am not a qualified licensed investment advisor.
All information found here, including any ideas, opinions, views, predictions, forecasts, commentaries, suggestions, expressed or implied herein, are for informational, entertainment or educational purposes only and should not be construed as personal investment advice. While the information provided is believed to be accurate, it may include errors or inaccuracies.
I will not and cannot be held liable for any actions you take as a result of anything you read here.
Conduct your own due diligence, or consult a licensed financial advisor or broker before making any and all investment decisions. Any investments, trades, speculations, or decisions made on the basis of any information found on this channel, expressed or implied herein, are committed at your own risk, financial or otherwise.
Nvidia - Consolidation Before -50% Drop!Nvidia ( NASDAQ:NVDA ) is preparing for the correction:
Click chart above to see the detailed analysis👆🏻
Nvidia is still creating pretty clear market structure and price action and therefore there is no reason to change direction or opinion. Following the previous cycles, a correction of roughly -55% is likely and Nvidia's recent consolidation is a first strong sign of bearish weakness.
Levels to watch: $120. $60
Keep your long term vision,
Philip (BasicTrading)
The TradingView Show: Interest Rates and AI with TradeStationJoin us for our newest episode with David Russell , Head of Market Strategy at TradeStation . We’ll dive into the current market landscape, covering all of the following topics for traders:
1. Market Trends: We’ll provide detailed insights into major stocks and bullish market trends, focusing on META, NVDA, and the evolving landscape of Chinese stocks. Discover how hedge fund managers are navigating these markets and uncover other significant movements you might be missing.
2. Index Review and Interest Rates: Our analysis will dive into macro trends affecting the SPX and NDX, exploring the importance of major indexes. We’ll discuss how rising interest rates are influencing market behavior and the broader economic implications for investors.
3. Commodities: Get the latest updates on oil, especially in light of recent production cuts that are impacting prices globally. We’ll also discuss gold and silver prices, examining why gold has achieved an all-time high while silver remains undervalued and what that means for future trends.
4. Cryptocurrency: Take a closer look at Bitcoin’s recent performance. We’ll explore whether it is on the verge of forming a significant new trend and what factors are driving its volatility in today’s market.
5. Housing Market: Analyze current trends in the housing market and what lies ahead, especially as they relate to rising interest rates, advancements in AI, and productivity improvements. This segment will provide essential insights for anyone interested in real estate investments.
And much more! We encourage you to ask questions and share your feedback in the comments. Now, some important links for you to explore and read:
Explore TradeStation ideas on TradingView here: www.tradingview.com
For important disclosure information regarding options, ETFs, and more, please visit:
1. www.tradestation.com
2. www.theocc.com
3. www.tradestation.com
Thanks for watching and we'll be back live next month!
Bitcoin: 70K Objective Within Range.Bitcoin has pushed beyond the 64K resistance but is now hesitating with the appearance of an inside bar. If the high of the inside bar is cleared, that would be a momentum continuation signal which can see price push into the 67 to 69K resistance. If the low of the inside bar is cleared, a retrace can unfold which can take price back into the 63 to 64K area (old resistance/new support). The key to navigating this is WAITING for confirmation and having your parameters and expectations predefined. Reacting to market events is typical retail behavior most often a mistake.
The illustration on my chart shows the scenario that I am anticipating over the coming week. (See my previous articles to see these play out). While there is NO way to know if price will follow this path, IF price action confirms, this scenario has a greater probability. I am able to identify these opportunities from carefully evaluating TREND and SUPPORT/RESISTANCE levels. I am simply FOLLOWING what the market is implying through price. I don't have to get overwhelmed with "fundamentals", and "news" and other propaganda because price factors in ALL the known information in the world in a given moment (Efficient Markets). If you understand this concept, it then becomes much easier to recognize opportunities and most importantly measure the associated RISK.
The arrow on my chart points to a predetermined price area (63 to 64K) to watch for If reached. This would be the lowest risk/highest probability point if confirmation appears. Ideal for swing trades especially where reward/risk can reasonably be 2:1 or greater. The reward/risk component depends on how you define risk at the time of the signal (this is what I use Trade Scanner Pro for). You can also use the next support level or candle stick low which is better than nothing.
What is also compelling about this situation is the changing interest rate environment. While the change will not have an instant to the moon effect, it will offer a more supportive environment over time. This will be ESPECIALLY important during pullbacks when support levels are tested. This charge also calls for a closer look at low priced small caps/alt coins because they are poised to benefit from the increasing money supply resulting from lower rates. NOW is the time to be looking to invest, NOT at all time highs. I will be talking more about this soon as well.
How you use this information will mostly depend on your decision making structure. A seemingly more bullish environment does not guarantee trades/investments will work out. Although it does provide for a more forgiving market. Know your RISK before you enter any type of position and this can be defined by using information straight from your chart. For example if Bitcoin confirms a long at 64K, I automatically know risk on this time frame can be at least 1 to 2K points. From there, a profit objective and sizing regime can be worked out. If you are not this organized, do NOT risk real money until you have some kind of management or decision making structure in place.
Thank you for considering my analysis and perspective.
Downside Targets for CHF/JPY Amid Waning Swiss Franc AppealMarket Overview
CHF/JPY is facing downward pressure as demand for the Japanese yen rises, coupled with the Swiss National Bank’s decision to cut interest rates to 1%. The Swiss franc has lost some of its allure as a safe-haven currency, while the yen is gaining traction due to increased risk aversion in the market.
Technical Analysis
CHF/JPY has reached a key support level at 168.676. Should this level be breached, downside targets include 168.170, 167.921, and 167.454. Both MACD and RSI indicators confirm selling pressure and suggest a continuation of the bearish trend.
Conversely, if buyers manage to break through the resistance at 169.898, this could signal the end of the current downtrend and the potential for a bullish reversal.
