Understanding Forex CorrelationA Comprehensive Guide to Forex Pair Correlation Strategies
Forex correlation is a powerful tool that can help traders understand how currency pairs move in relation to each other. It’s an essential concept that, when used correctly, can improve risk management, enhance profits, and provide valuable insights into the behavior of different currency pairs.
The image you've provided breaks down key aspects of forex pair correlation, including positive correlation, negative correlation, and hedging strategies. In this article, we’ll dive deeper into what forex correlation is, how it works, and how you can use it to your advantage in your trading strategies.
What Is Forex Correlation?
Forex correlation refers to the relationship between the movements of two different currency pairs. When two currency pairs move in tandem or in opposite directions, they are said to be correlated. Correlation can be positive, where both pairs move in the same direction, or negative, where the pairs move in opposite directions.
Traders use correlation data to understand potential risks and opportunities. Understanding the relationships between currency pairs allows you to diversify your trades, hedge positions, or double down on strategies based on the expected movements of correlated pairs.
Types of Forex Correlations
1. Positive Correlation
When two currency pairs move in the same direction, they are said to have a positive correlation. For example, EUR/USD and GBP/USD often have a positive correlation because both pairs share the USD as the base currency, and they tend to respond similarly to events affecting the U.S. dollar.
Example of Positive Correlation: If EUR/USD is rising, GBP/USD is also likely to rise due to the influence of the U.S. dollar.
Strategy for Positive Correlation: Traders can use positive correlation to open the same-direction positions in both pairs to amplify gains. However, keep in mind that a highly correlated pair will also double your risk if the market moves against you.
2. Negative Correlation
When two currency pairs move in opposite directions, they are said to have a negative correlation. For instance, USD/JPY and EUR/USD often have a negative correlation. When the U.S. dollar strengthens against the Japanese yen (USD/JPY), it may weaken against the euro (EUR/USD).
Example of Negative Correlation: If EUR/USD is rising, USD/JPY may be falling due to changes in the strength of the U.S. dollar.
Strategy for Negative Correlation: Traders can open opposite-direction positions in negatively correlated pairs to offset potential losses. For example, if you are long on USD/JPY and the trade turns against you, holding a short position in EUR/USD can help balance the loss.
How to Calculate Correlation
Correlation is typically measured on a scale from -1 to +1:
+1 means that two currency pairs are perfectly positively correlated. This means they will move in exactly the same direction at all times.
-1 means that two currency pairs are perfectly negatively correlated. This means they will always move in opposite directions.
0 means no correlation exists, meaning the pairs move independently of each other.
Many trading platforms provide correlation matrices or tools to help you understand the correlation between different pairs. These can be updated in real time or calculated over different time frames (daily, weekly, or monthly).
Why Forex Correlation Matters for Traders
Understanding forex correlation is crucial for several reasons:
1. Risk Management
By using correlation strategies, you can manage your risk more effectively. For example, if you have two highly correlated positions, you're effectively doubling your exposure to the same market conditions, which can increase risk. On the other hand, trading negatively correlated pairs can help reduce exposure to one-sided market movements.
2. Diversification
Forex correlation helps you diversify your portfolio by balancing positively and negatively correlated pairs. Proper diversification ensures that you aren’t overly exposed to one currency or market, providing better protection against volatile market movements.
3. Hedging Opportunities
As shown in the image, hedging with correlations allows traders to use correlated pairs to balance risk and protect investments. If one pair moves against you, a correlated position in another pair can help minimize the loss. This is a strategy that advanced traders often use during periods of high market uncertainty.
Using Forex Correlation Strategies
1. Hedging with Correlations
A popular strategy involves using negatively correlated pairs to hedge positions. Let’s say you have a long position in EUR/USD. You might take a short position in USD/CHF to reduce exposure to potential USD weakness. If the U.S. dollar weakens, your EUR/USD trade may incur a loss, but the short USD/CHF position can offset that loss.
2. Trading Positively Correlated Pairs
When trading positively correlated pairs, you can open same-direction positions to amplify gains. For instance, if you anticipate the U.S. dollar weakening and are bullish on both the euro and the British pound, you might go long on EUR/USD and GBP/USD. In this case, your profits could multiply if both trades move in your favor. However, this strategy also increases risk since losses would be compounded if the U.S. dollar strengthens instead.
3. Avoiding Over-Exposure
While correlation strategies can help increase profits or hedge risks, they can also lead to overexposure if not carefully managed. For example, trading multiple highly correlated pairs (e.g., EUR/USD, GBP/USD, AUD/USD) simultaneously can result in taking on too much risk in a single direction, especially if the market turns against you.
To avoid overexposure:
Check correlation matrices regularly to understand current correlations.
Adjust trade sizes based on the degree of correlation between pairs.
Avoid trading multiple pairs that have a perfect or near-perfect correlation unless you are intentionally doubling down on a strategy.
When to Use Forex Correlation Strategies
During High Volatility: Correlation strategies are particularly useful when the market is volatile, and you want to either reduce your risk through hedging or amplify your profits by trading positively correlated pairs.
Economic News Events: Major news events often affect several currency pairs simultaneously. By understanding the correlations between pairs, you can plan for potential reactions and adjust your strategy accordingly.
Portfolio Balancing: Long-term traders can use forex correlations to balance their portfolios, ensuring they are not overly exposed to any single currency or market condition.
Conclusion
Forex correlation is an essential concept for traders seeking to manage risk, diversify portfolios, and maximize profits. By understanding how different currency pairs relate to each other, traders can build more robust strategies that leverage both positive and negative correlations.
Whether you're looking to hedge your positions, amplify your gains, or simply protect your investments, correlation strategies offer valuable tools for navigating the complex forex market. Be sure to incorporate correlation analysis into your overall trading plan to enhance your decision-making process and boost your chances of success in the forex market.
Happy trading!
Correlation
AUD/USD squeeze risk growing?With tentative signs of stablisation in commodity futures and US equity index futures pushing higher in early Asian trade, the prospects for some form of squeeze higher in AUD/USD appear to be growing.
You can see just how violent the selloff has been over the past two weeks, leaving it oversold on RSI (14) for the first time since August 2023. But the modest reversal on Thursday after breaking the 61.8% Fib retracement of the April-July low-high is about the closest thing to a bullish signal we’ve seen for the AUD/USD in a while.
It’s tempting to go long with a stop below the fib level for protection, but it would be nice to see RSI break its downtrend first to provide confidence that the bearish price momentum is ebbing.
Given the acute focus on China, the reaction to the PBOC’s CNY fix in FX markets, and opening of Chinese stock futures, may provide a strong tell on where the near-term path of least resistance lies. If they open firmer, it may increase the probability of AUD/USD upside.
AUD/USD a proxy for risk appetite
The chart also shows the rolling 10-day correlation between AUD/USD with COMEX copper in orange, crude oil in black, S&P 500 in green and Nasdaq 100 futures in blue. Every single correlation sits north of 0.8 with three of the four hovering around 0.9 or higher. The higher the score, the greater the relationship between the two variables.
Taking a step back, the strong correlations suggest AUD/USD is being used as proxy for risk sentiment, a role it has often played previously when we’ve seen boarder risk-on-risk-off moves in markets. That means if we see even a modest improvement in risk appetite, as seen on Thursday when the latest batch of US economic data suggested premonitions of an imminent recession may be misplaced, the AUD/USD could find buyers.
The price action in commodity futures is another potential sign that the worst of the rout is over, at least for the moment.
Lower Technology Sector Pulls Cryptos LowerCryptocurrencies are trading to the downside, and we are seeing some sharp intraday sell-offs, most likely triggered by risk-off flows. As you know, normally when stocks are down, cryptos tend to move in the same direction, especially when there are significant sell-offs in the stock market like we've seen over the last few days, triggered by missed earning reports and lower technology sector. It's not surprising that we are seeing a pullback, which we have been warning about in our past updates.
Some of the coins are experiencing very sharp sell-offs and deeper retracements, while other stronger coins are hitting interesting support levels. Even Bitcoin, the most important cryptocurrency, is at a very interesting first area of support. However, looking at the total crypto market cap, there is a sharp one-leg down, suggesting a more complex and deeper ABC retracement before the market may really find new buyers. There is first tecnical strong support around the $2.24 trillion level.
Looking at the NASDAQ 100, there seems to be a very strong impulse away from the highs, so toš is in, but we see prices possibly in the 5th wave approaching some support around 19,000. If we get an ABC rally in the near term, that's when cryptos could also stabilize.
GH
Gold & ETH - Who Follows Whom?Hello TradingView Family / Fellow Traders. This is Richard, also known as theSignalyst.
I always keep an eye on Gold to gauge the overall market sentiment.
📚 I found the latest correlation between Gold and ETH interesting !
You know what? I will keep this post short, as the picture is self-explanatory !
The question is... Who follows whom?
📚 Always follow your trading plan regarding entry, risk management, and trade management.
Good luck!
All Strategies Are Good; If Managed Properly!
~Rich
Is Bitcoin a leading indicator of inflation?INDEX:BTCUSD Bitcoin is regarded (in some circles) as both a store of value and an inflation hedge.
But what if Bitcoin is a leading indicator of inflation?
In the chart shown, we can see the various Bitcoin peaks over the years preceding local peaks in US CPI (orange). The US interest rate is in blue.
The last 4 peaks in US CPI YoY have occurred between 6.4 and 8.5 months after a peak in Bitcoin's price.
Specifically:
June 2016 high - 37 weeks (8.5 months) later at 2.7%
December 2017 high - 28 weeks (6.4 months) later at 2.9%
June 2019 high - 31 weeks (7.1 months later) at 2.5%
November 2021 high - 33 weeks later (7.6 months later) at 9.1%
It's also worth noting that the sequence of highs is the same; both BTC and CPI have a lower high, a higher high, lower high, then higher high.
The peaks in 2011 and 2013 coincided with CPI highs 15 and 26 weeks later, but 2016/2017 was the time when crypto first entered the public's awareness.
So why does this happen? Do Bitcoin whales buying lambos stimulate inflation?
I'm joking, but I genuinely don't know, and I hope someone can explain lol.
I've wondered if it's a case of correlation in that rising inflation is usually a sign of easy financial conditions—the ideal conditions for a risk asset like BTC to pump—with Bitcoin being the first to benefit as the ultimate risk asset (at least in the world of mainstream finance). I'm not sure though.
The most concerning thing is the implication. We recently just made another all-time high in Bitcoin, but CPI sits at 3.4% at the time of writing, having moved sideways for almost a year now.
As for whether this is a crazy coincidence, or me reaching to an astronomical degree, I don't know.
The average period of time over these last 4 periods is 32 weeks, or around October/November time. The only catalysts I see are the US government spending money like it's going out of fashion and rising commodity prices.
I'll also note that there doesn't seem to be any correlation with lows in inflation.
Personal opinion on inflation:
US inflation is stalling, rising, and falling across different measures. Producer prices, services inflation, annual PCE, and some core measures are tilting up. The only real decline recently has been core CPI.
It's also interesting to note that 1 and 5-year Michigan inflation expectations are 3.3% and 3%, respectively.
Multiple Fed officials have been hawkish lately:
Fed's Barr: Q1 inflation was disappointing, it did not provide the confidence needed to ease monetary policy.
Fed's Mester: Inflation risks are tilted to the upside.
Fed's Bostic: It would not surprise me if it took longer to get to 2% inflation in the US than elsewhere.
Given that we've reached a peak in interest rates (for the time being) but inflation has been moving sideways for around a year now, something has to change.
It could be argued that monetary policy still needs time to work, but that doesn't really mesh with measures of inflation stalling or rising over the past year. Wouldn't the lag effect continue working to drive inflation lower? Likewise, why would the US economy be growing as fast as it is?
One or more of three things will need to change: inflation, unemployment, or interest rates.
Unemployment is at 3.9%, low by historical standards but rising since early 2022.
Inflation, especially with what we've seen here, may also be on the rise soon.
If the main lever the Fed has is monetary policy, it faces a dilemma. The data doesn't support a rate cut right now, while unemployment is rising slowly. If inflation begins to rise again, it may need to hike interest rates—not ideal when Joe desperately needs one for the upcoming election.
This scenario of high inflation and high unemployment—stagflation—is what JPMorgan's CEO, Jamie Dimon, has been warning of :
'It’s a warning Dimon has issued before, previously saying he fears America is headed for a repeat of the 1970s when everything “felt great” and then quickly about-turned to a period of high unemployment and inflation paired with low demand, also known as “stagflation.”
Appearing at AllianceBernstein’s Strategic Decisions conference on Wednesday, Dimon said he simply can’t see how the past five years of massive fiscal and monetary stimulus could result in anything other than this scenario.
As it stands, the US dollar looks ready to surge higher and clear 2023 highs:
While SPY and BTC, adjusted for inflation (CPI figure taken from first day of trading), sit below their 2021 highs:
I am aware that the human tendency to look for patterns and confirmation bias may be clouding my judgement. However, in my view, the market is severely underestimating the risk of higher inflation and a potential interest rate hike, which I believe will drive the dollar higher throughout the rest of 2024.
According to the Bitcoin chart, another wave of inflation could be back above 7%+. I personally find that hard to imagine, but second round effects in the 1970s saw inflation shoot past its previous peak. Deutsche Bank has drawn parallels with the 1970s .
Long-term views:
Long USD, Oil
Short risk assets (equities, crypto)
Unsure on gold and silver but skewed lower
For these views to be truly validated, I would like to see:
TVC:DXY above 105.75
NYMEX:CL1! above 84
AMEX:SPY below 494
NASDAQ:QQQ below 414
INDEX:BTCUSD below 56,500
This is not financial advice, nor a recommendation. I wrote this to bring attention to something strange I'd found, and strongly encourage you to do your own research. Thank you for reading.
$BTC tops correlates to $DXY bottoms?Dollar strength bottoms historically marked the tops of the Bitcoin bullrun.
If the dollar is used to buy Bitcoin, then if the dollar loses strength, more dollars are needed to buy Bitcoin, right?
Then if, in the future the dollar crashes hard, can Bitcoin make a super bullish rally?
$DXY down, $BTC up - The crazy (but logic) correlationCRYPTOCAP:BTC just printed a "magical" green candle, after a kinda "bearish" upward movement with a lot of divergences. No one was expecting an upward movement like this, and really caught bears and shorters by surprise. The short squeeze here was brutal and a lot of shorters must be in pain.
Anyone could be asking themselves, "what the hell just happened?". This is the time where traders blame "manipulation" and "market makers" as the ones who move the market to their interests, with such a, we could say, "irracional" price action.
Well... There COULD be an explanation.
Historically DXY (The index that measures the strenght of US Dollar in the financial market) have had an inverse correlation to the price of Bitcoin and viceversa.
It has some kind of logic, since, if Bitcoin is bought with dollars, then if dollar lose its value, then you need more dollars to buy Bitcoin! simple math, simple logic. We are not sure if the graphs are 100% correlated themselves, but it makes sense!
Here you can see that I applied the TVC:DXY graph over CRYPTOCAP:BTC graph, but the TVC:DXY is INVERTED, meaning that every time TVC:DXY went up, you can see it here going down. So you can see now more clearly the direct correlation both have.
TVC:DXY just broke a trendline and printed a very strong red candle JUST at the very same time BTC did y massive green candle a liquidated short positions at very important sell zones.
It's kind of easy to predict a big movement of any of both, if one of them does a big move at some point, because you can expect the other to do a big move at the same time or some time later.
Keep an eye ALWAYS on DXY when you are trading Bitcoin or any crypto.
It IS a finantial advice.
Macro Negative Correlation with BitcoinThe US Dollar Index TVC:DXY is negatively correlated with the macro Bitcoin BNC:BLX chart.
Indicators like the Correlation Coefficient indicator will display swings from negative to positive correlation between TVC:DXY and $INDEX:BTCUSD. This can lead to a belief that they are not in fact negatively correlated.
But, when you zoom out to a macro view of Bitcoin and compare, the dollar index's peaks correspond with Bitcoin's lows, while Bitcoin's peaks correspond with DXY's lows.
At times, these corresponding peaks and valleys have occurred near the same dates and times, while at other times DXY has acted as a leading indicator for future movement for Bitcoin.
Where will we go next?
if DXY returns to its previous high and breaks it, I suspect Bitcoin will move lower
on the other hand, should DXY move further down or get stuck within a range, it's likely that Bitcoin will move higher
What do you think?
Why Gold and DXY Rise Together in Times of UncertaintyIn times of market uncertainty, investors often seek refuge in assets considered safe havens, such as gold and the US Dollar Index (DXY). While traditionally these two assets exhibit a negative correlation, meaning when one rises, the other tends to fall, their simultaneous ascent during periods of uncertainty might seem counterintuitive at first glance. However, a deeper understanding reveals the underlying dynamics driving this phenomenon.
Firstly, let's explore gold's role as a safe haven asset. Gold has long been revered as a store of value and a hedge against economic instability and geopolitical turmoil. During times of uncertainty, investors flock to gold as a reliable store of wealth, driving up its price. This demand surge can outweigh any negative impact from a stronger US dollar, leading to both gold and DXY rising concurrently.
On the other hand, the US Dollar Index (DXY) also garners safe haven status during times of uncertainty. The US dollar is widely considered the world's reserve currency and is backed by the largest and most stable economy globally. Consequently, investors often seek refuge in the US dollar during periods of market turmoil, further boosting its value.
Moreover, the correlation between gold and the US dollar is not solely determined by economic factors but also influenced by investor sentiment and market dynamics. During times of heightened uncertainty, investor behavior can drive unusual correlations as market participants prioritize capital preservation over traditional market relationships.
Furthermore, it's crucial to consider the broader macroeconomic landscape. Factors such as central bank policies, geopolitical tensions, and global economic outlook play significant roles in shaping investor sentiment and asset prices. Changes in these factors can lead to shifts in the relationship between gold and the US dollar, especially during times of uncertainty when market participants reassess risk and allocate capital accordingly.
In conclusion, while gold and the US dollar may traditionally exhibit a negative correlation, their simultaneous rise during times of uncertainty underscores their status as safe haven assets. Understanding the complex interplay of economic fundamentals, investor sentiment, and market dynamics is essential for comprehending the nuances of asset relationships, particularly during turbulent times in the financial markets.
Negative Correlation Between Gold & USDJPYThere is a -94% correlation on the weekly timeframe (also known as negative correlation) between Gold & the Japanese Yen.
GOLD📉
=
USDJPY📈
When one market moves up, there is a high probability the other market will move down. Knowing this allows you to mitigate your risks, by not opening similar positions in both markets.
Correlation between JPY strength and NIKKEIWe cannot treat the Japanese market similar to how we treat the west.
Traditionally, when a currency strengthen, the respective stock index will dip.
However, here we see that whenever USDJPY drops (aka JPY strengthens), the NIKKEI actually continues to rally or at least consolidates sideways.
The top Forex Market correlations1-Gold (XAU/USD) and AUD/USD: Gold prices often exhibit a positive correlation with the Australian dollar (AUD/USD). Australia is a major producer of gold, and the Australian dollar is sensitive to changes in gold prices. When gold prices rise, AUD/USD tends to appreciate, and when gold prices fall, AUD/USD tends to weaken.
2-Gold (XAU/USD) and USD Index (DXY): Gold prices tend to have a negative correlation with the US Dollar Index (DXY). When the DXY strengthens, gold prices often weaken, and when the DXY weakens, gold prices tend to strengthen. This inverse relationship is because gold is priced in US dollars, and a stronger dollar makes gold more expensive for holders of other currencies.
3-S&P 500 Index and USD/JPY: The USD/JPY currency pair often exhibits a positive correlation with the S&P 500 Index. When the S&P 500 Index rises, USD/JPY tends to appreciate, and when the index falls, USD/JPY tends to weaken. This correlation is because both assets are seen as risk-on indicators, meaning they tend to move in the same direction in response to changes in market sentiment.
4-Crude Oil (WTI) and CAD/JPY: Crude oil prices, particularly West Texas Intermediate (WTI) crude, often have a positive correlation with the Canadian dollar/Japanese yen (CAD/JPY) currency pair. Canada is a major exporter of oil, and the Canadian dollar is sensitive to changes in oil prices. When oil prices rise, CAD/JPY tends to appreciate, and when oil prices fall, CAD/JPY tends to weaken.
Microsoft Replicating 1987 SPX ChartSince Microsoft bought ChatGPT back in March 2023, the price of NASDAQ:MSFT stock has gone on to replicate the same pattern as the 1987 S&P500 stock market rally.
Does it mean anything all by itself? No. It still needs a catalyst for the drop to happen. The 1987 stock market crash had many triggers and catalysts and the drop was a sharp 40% from August 28th, 1987 to October 19th 1987.
What would cause a sharp 40% drop in NASDAQ:MSFT ? You all could type in your guess in a reply to this chart. It could come about under a variety of situations, but it would take an act of Government regulation or a major sea-change in laws or the business environment.
When you see people posting "overlays" of the market to past debacles, you will find almost NONE of them work.
Last year in January I posted a pattern where NASDAQ:TSLA was mimicking the fundamental and technical price pattern that NYSE:MCD McDonalds had from over a decade ago when it fell 75% on a rough patch for its business. It turned out to be identical and NASDAQ:TSLA rallied over 150% last year just exactly the same as happened to $MCD. I'll post the link down below for you to view.
The overlay here between NASDAQ:MSFT and the 1987 SP:SPX is pretty amazing but we have no catalysts to make it drop. Stay tuned on any weakness and look for cheap hedges (long term puts out to July-Oct-Dec for this year). Don't spend more than 1% of an account to hedge a position, but if you hedge it correctly you can protect against a large decline without much cost to a portfolio.
Here's hoping this pattern doesn't 'pan-out' because it would be or could be very disruptive to the markets.
Wishing you all health and success in the markets this year and thanks to TradingView for all of the great tools for doing research!
Cheers,
Tim
Friday, February 23, 2024 8:59PM EST
Negative Correlations in Trading: FULL GUIDEEmbarking on a journey in the world of trading demands a profound understanding of market intricacies. One often-overlooked yet powerful aspect is the domain of negative correlations — the intricate dance where the movement of one asset influences another inversely. This guide aims to be your compass in navigating these complex waters, exploring real-world examples, and providing strategies to harness this knowledge for astute and strategic trading.
Section 1: Unraveling the DXY-BTC Dynamic: Understanding Dollar-Bitcoin Connections
1. The Dance of DXY and BTC:
Delve into the intricate relationship between the U.S. Dollar Index (DXY) and Bitcoin.
Grasp the nuances of how a strengthening DXY tends to exert a weakening influence on Bitcoin and vice versa.
2. Leveraging the DXY-BTC Correlation:
Explore scenarios where the correlations of DXY and Bitcoin align.
Discuss long-term trading strategies that arise from discerning the interconnectedness of these two prominent assets.
Section 2: Discorrelation RSI: Decoding Signals Amidst Market Chaos
1. Understanding Discorrelation RSI:
Introduce the concept of discorrelation RSI, where RSI signals diverge from price action.
Emphasize the significance of recognizing when RSI provides a more accurate reflection of market sentiment.
2. Trading Wisdom with RSI Signals:
Analyze real-world examples where RSI forms a higher low while the price chart indicates a lower low.
Illuminate actionable strategies for entering long positions based on RSI signals during instances of price divergence.
Section 3: Structural Manipulation: Navigating Opportunities Amidst Deceptive Markets
1. OP Case Study: Structural Manipulation vs. RSI Insights:
Explore the dynamics of the OP token, where structural lows are seemingly updated on the price chart.
Unveil instances where RSI provides a more accurate representation of market conditions, presenting buying opportunities during purported oversold conditions.
2. Seizing Opportunities in Manipulation:
Discuss the art of discerning manipulation from genuine market conditions.
Explore how negative correlations can guide traders to capitalize on opportunities created by market manipulation.
Section 4: Crafting Your Strategy: Navigating the Complexities of Negative Correlations
1. Building a Trading Plan:
Outline the essential components of a comprehensive trading plan that incorporates insights from negative correlations.
Emphasize the need for adaptability and ongoing analysis to refine trading strategies.
2. Risk Management in Negative Correlation Trading:
Discuss advanced risk management strategies tailored to the nuances of negative correlations.
Highlight the importance of position sizing and the judicious use of stop-loss orders.
Conclusion: Orchestrating Success in Market Dynamics
As you conclude this profound exploration of negative correlations in trading, envision the market as a symphony of interconnected instruments. The ability to recognize and leverage negative correlations adds a powerful melody to your trading strategy. Regularly revisit and refine your approach, staying attuned to evolving market conditions, and use negative correlations as a guiding force in your trading journey.
💡 Deciphering Negative Correlations | 🔄 DXY-BTC Symphony | 📊 RSI Discorrelation Strategies | 🎭 Unmasking Structural Manipulation
💬 Engage in the discourse: Share your experiences in trading based on negative correlations, pose thoughtful questions, and connect with a community dedicated to mastering the dynamic nuances of the market. 🌐✨
Long Term Correlation Chart [20-30 Years View]This is comparing between the super trend of the S&P 500 (Cash) index and the US 10 year bond yields.
Previously, for a good 35 years, bond yields and equities shared a strong positive correlation. (1951 to 1986)
Then correlation swung the other way and for the next 37 years, we started seeing negative correlation. Falling yields with equities continuing the advancement.
Question is.. What happens now for the next 30-35 years?
Domination of USDT + USDC and lows/maxims of BTC. CorrelationIn the graph, combined into one graph of the dominance of such stablecoins as USDT and USDC.
Orange color—chart of the bitcoin price against the dollar.
The time interval is 1 week. The graph is logarithmic.
The same chart and the same parameters on the candlestick chart .
All BTC price lows and highs are specially shown. Compare what the capitalization of stablecoins was at the time.
At an earlier time, the dominant stablecoin was one USDT, later USDC was added. They occupy a significant capitalization. BUSD and DAI are less capitalized. They too can be added to this “indicator” of the Pumps/Dumps market.
I think the dominance history and the bitcoin overlay chart illustrate well which market phase and in which areas to buy and sell bitcoins and other speculative crypto coins.
Centralized Stablecoin capitalization of a decentralized market .
Sounds crazy, doesn't it? The dominance of centralized in a decentralized market. The 3rd,4th,6th places are naturally occupied by centralized stablecoins such as: #USDT #USDC #BUSD.
This kind of decentralized cryptocurrency financial world (freedom from the dictatorship of banks, power states, and so on) did you imagine, for example, in 2015-2017? Is it good or bad? What will happen after a while? What trend will develop further after the community bait has been swallowed?
3rd place . USDT ( .... "Reds" .... )
$67,562,687,657
4th place . USDC (Circle, Coinbase, JPMorgan, Blackrock .... )
$51,726,419,583
6th place . BUSD (Binance)
$20,003,320,692
13th place DAI ETH (!)
BTC and ETH dominance.
Continuing on this “democracy” theme of crypto sandbox capitalization. Today 14 09 2022.
Market Cap: $989,560,104,72
Dominance:
#BTC: 38.9%
#ETH: 19.9%
Total 2 assets: 58,7%
Also add 3,4,6,13 top stablecoins to this.
Stablecoins over 20%.
Almost 60% of the market is 2 assets.
Over 80% of the market is 6 assets.
So much for the true mythology of decentralization ))).
How to look for a “live chart” for yourself and combine the dominance of USDT and USDC:
1) Look for the MARKET CAP USDT DOMINANCE, %
2) On the right side of the chart in the search field, press the + button
3) Write MARKET CAP USDC DOMINANCE, %.
For the analysis, it will also be useful to track at the same time:
1) BTC dominance
2) US dollar index (DXY, USDX)
BTC dominance
BTC to altcoin dominance. Stablecoin dominance and market pamp.
US Dollar Index (Fed)with prices of BTC lows/maxims. Correlation of assets.
DXY and PampDump BTCMarkets Cycles.
This is what it looks like on a line chart to illustrate simple correlation things.
Preparedness for force majeure.
I would also like to say that all stabelcoins are focused on the "stability" of the U.S. dollar. Think about what would happen if, for some reason, that stability were to be undermined in the blink of an eye. Then you are faced with a very difficult choice.
What to do? Sell/buy cryptocurrency/shares? Just think ahead "What do you do" if, purely hypothetically, for some fantastic, hard-to-imagine reasons this happens. Think ahead in today's calm time (are you sure it's not calm now?), so you won't be caught off guard in a turbulent time.
BTC to ValhallaQuantitatively speaking all of my systems aggregated are long.
There will of course, be a lot volatility.
Like any other normal crypto upwards trending market.
Not providing and esoteric uber complex system on here since they are private.
Now with that being said, a myriad of things are in the right direction for HTF investing and also if you had a good swing entry on the recent price action.
As this continues to play out many small-cap coins have had their waves with their small glimmers of alpha, short-lived. Easy exits thought lol.
In a macro sense, all TradeFi systems are long and most asset classes are max long, and yeah you can find out the quantitative backing yourself.
The recent reduction in correlation between crypto and traditional markets, has seen a more strongly positive correlation in the past 21 days. Confusing the mind of the retail trader.
There is still low sentiment on crypto in its entirety and moreso elicits the stage of disbelief.
But, that does not matter in the slightest. Qualitative "Analysis" is boring anyway.
Take your leverage off degen.
GM
GM
GM
Major Market Correlations Between Yields, Stocks And USDollarIn 2022, the stock market took a hit and the US Dollar gained strength due to higher yields in the US. Toward the end of that year, as yields eased off, the US Dollar lost some of its power, and this coincided with a rebound in stock market performance.
Now, as yields are climbing once again, the US Dollar is regaining strength, but it seems like stocks are beginning to lose their previous momentum. However, the situation might shift if these rising yields are in the process of completing their fifth wave and are on the verge of slowing down. In that case, the US Dollar could actually become weaker again, and the stock market might continue its upward trend. Of course a lot will depend on the FED policy decisions, where dollar can turn down if FED will stop the hiking cycle. Well, a lot will depend on the US data, so market participants will surely watch the NFP very closely tomorrow.
Relationship between US 10yr yield & the DXYAs traders look for signals on potential moves in the FX market, a frequent question I receive is regarding the relationship between the 10yr yield and the DXY.
US 10-Year Treasury Yield:
The US 10-year Treasury yield represents the interest rate on the 10-year government bonds issued by the United States.
It is considered a benchmark for long-term interest rates and is often used as a reference for borrowing costs across the economy.
This yield is influenced by various factors, including inflation expectations, economic growth, and monetary policy.
US Dollar Index (DXY):
The US Dollar Index, or DXY, measures the value of the US dollar against a basket of major foreign currencies, including the euro, Japanese yen, British pound, Canadian dollar, Swedish krona, and Swiss franc.
It provides a snapshot of the US dollar's strength or weakness relative to these currencies.
Relationship of US 10yr yield & DXY
The US 10-year yield and the DXY have a relatively strong positive relationship.
Increases in the yield on 10-year Treasuries have the tendency to draw capital into the US bond market because investors find US government bonds more attractive with higher yields.
Because of the increasing demand for the US dollar to buy these bonds, the dollar gains strength leading to a rise in the DXY.
As with any relationship between financial instruments, it is seldom 100% positively correlated given that there are a variety of factors, including inflation expectations, economic growth conditions, market sentiment, and central bank monetary policy.
📈 BTC vs. S&P500: Broken Correlation & The Next Big Move!🔥🔀💰Wishes for a nice month everyone and let's all pray for logic and Peace in the World.🌍
🎓 November has started with a bang, and we're seeing some interesting movements in the financial market. 📊
🔍 Observations:
Bitcoin's Rollercoaster: BTC took a slight dip today, even after a splendid performance post the Federal Reserve announcement. 💸
Inverse Correlation Emerges: Historically, Bitcoin & S&P 500 moved hand in hand. But now? They're moving in opposite directions at times! 🔄
Past Patterns: Dive into 2018, 2019, and 2020, and you'll see this dance between BTC and S&P 500. Correlation breaks, then normalizes, and ultimately... BOOM! 🚀 A significant price movement ensues.
🤔 Thoughts:
ChatGPT Insights: Looked up ChatGPT for more on this correlation break. Factors like market sentiment, liquidity, and micro events could be playing a role.
Current Market Trend: Bitcoin's moving up while indices correct. What's next? We might see this correlation normalize soon. 🔄
The BIG Resistance: Keep an eye on Bitcoin as it approaches the major resistance level I've been talking about. This could be a pivotal point! 🔝
🔥 Hot Takes:
Bitcoin: Feeling bullish! Major support lies around 34,000, and I'm optimistic about BTC reaching the 37,000 mark and beyond. 🚀
S&P 500: Spotted a significant resistance at 4,327. Bearish trends have been dominant since last year, but a break above this resistance could change the narrative. 🐻 vs 🐂
In conclusion, watch out for the correlation between Bitcoin and the S&P 500. When it breaks and normalizes, it might just present a golden opportunity! 🌟 Keep observing, analyzing and take grown up decisions; stay vigilant, and remember to do risk management and have patience 💰
One Love,
The FXPROFESSOR 💙
link:
📊 Correlations Unveiled: NIKKEI vs. BTC! 📈Mirror Image: NIKKEI vs. BTC
Upon closer inspection, you might be astounded by the uncanny similarity between NIKKEI, Japan's stock market index, and BTC, the poster child of cryptocurrencies. 📊
Leading or Following?
NIKKEI's chart seems to be almost leading the way, showcasing patterns and trends that BTC later follows.
This observation highlights the importance of studying correlations in financial markets, offering potential insights into one market's effect on another.
The Power of Correlations
Understanding and harnessing the power of market correlations can provide traders and investors with the ability to predict potential price movements.
By recognizing these relationships, you can make more informed decisions in your investment strategies.
Conclusion: Correlations Matter
The resemblance between NIKKEI and BTC charts is a testament to the power of correlations in the financial world.
Being aware of these connections can provide valuable insights and, ultimately, contribute to more successful trading and investing.
Feel free to like, share, and leave your thoughts in the comments! 💚📈💚
❗See related ideas below❗
Myth-busting: top 6 misconceptions about commoditiesWisdomTree has long-standing expertise in commodities, and this asset class constitutes a core part of our business. We aim to debunk several myths that surround commodity investing1.
Myth 1: Commodities are only a tactical instrument
Some believe that commodities trade in a range and do not outperform over the long term. Furthermore, they think commodities only outperform in an ‘up’ phase of a commodity ‘super-cycle’.
Physical commodities are the fundamental building blocks of our society. Therefore, it is no surprise that their price movements largely explain inflation and tend to at least match inflation over the long term.
Furthermore, commodity investors most often invest in futures contracts, not physical commodities. Futures contracts have been designed as hedging tools to allow commodity producers and miners to hedge their production forward, making their businesses sustainable and allowing them to invest because they are insulated from the commodity prices’ short-term volatility.
Producers are willing to pay for this hedge, just as they would pay for insurance. Therefore, investors who provide this hedge by buying futures contracts receive an insurance premium that allows them to beat inflation over the long term. This ‘insurance’ is a permanent feature of commodity futures and doesn’t fall away through economic cycles. Thus, commodity futures are suitable for consideration as a strategic investment, not just tactical investments.
Commodities futures provide a positive risk premium, driven by their intrinsic link to inflation and embedded ‘insurance premium’. While upward phases of commodities’ super-cycle are historically advantageous for commodity investors, future-based broad commodity investments can deliver a risk premium in any part of a super-cycle.
Myth 2: Losses are guaranteed when commodities are in contango
Contango (negative roll yield) and backwardation (positive roll yield)2 are used to describe the state of the futures curve. It describes the relative position of the current spot price and the futures contract price. Drivers of roll yield include storage costs, financing costs, and convenience yield. Backwardation is often associated with demand strength when people are willing to pay more for immediate delivery than lock into a contract for later delivery at a cheaper price. Some believe that, because contango is the opposite state of backwardation, losses are guaranteed as a corollary.
The fact that Keynes’ theory is called ‘normal backwardation’ has caused some terminology confusion. However, what is described by Keynes is that futures contracts are generally priced at a discount to the expected spot price at expiry. It has nothing to do with the current spot price. In other words, the curve can be in contango, and the future price can still be at a discount to the expected spot price at maturity, that is, be in normal backwardation as well.
Using a numerical example, let’s say that WTI Crude Oil is worth $50 today. The market expects WTI Oil to trade at $55 in a month (expected spot price) because of storage and other costs. Keynes’ theory hypothesis is that the 1-month futures contract will be priced at a discount to $55, let’s say $54, to incentivise speculators to provide the hedge to producers. In this situation, the curve is in contango ($54>$50), and the expected risk premium is still positive at $1.
So, a curve in contango and a positive risk premium can coexist.
While the shape of the curve has an impact on the performance, it is not a good predictor of future performance.
Myth 3: Commodities are riskier and more volatile than equities.
There is a common perception that commodities are riskier than equities.
Equities and commodities are similar asset classes statistically. Their historic returns and volatility are quite close. Historically, commodities have exhibited higher volatility than equities in 42% of the 3Y periods since 1960. However, in a larger number of periods (58%) equities have shown higher volatility.
More importantly, the two assets’ distributions differ from a normal distribution with a significantly higher skew. But commodities have the advantage. They exhibit a positive skew (a tendency for higher-than-expected positive returns), when equities are known for their negative skew (their tendency to surprise on the downside).
Commodities have exhibited lower volatility than equities in 58% of the time rolling 3-year periods we studied and benefit from positive skew.
Myth 4: Commodities stopped being an effective diversifier after the 2008 Global Financial Crisis presented a structural break in commodity price relationships
Markets are becoming more and more efficient. With those changes, assets have become more correlated. It is clear that commodities have been more correlated to equities in the last 10-20 years than before. However, this is true of most asset pairs as well. US equities are more correlated to global equities. Equities are more correlated to high yield bonds. In a globalised world where correlations are more elevated, commodities still stand out for their lower level of correlation.
Note, commodities have continued to provide a cushion against equity and other asset crises in recent periods. For example, in 2022, commodities rose 16%, while US equities3 fell 18% and bonds4 fell 16%.
While 2008 marked an all-time high for the correlation between equities and commodities, their correlation has always oscillated. There have been earlier spikes of similar magnitude in the 1960s and 1980s. In 2020, we saw a similar spike in correlation, but correlations have more than halved since in 2023.
Commodity vs equity correlation tends to oscillate and has remained within normal historical ranges.
Myth 5: Inflation linked bonds are better than commodities at inflation-hedging
Some assets are often considered good inflation hedges, such as inflation-linked bonds (TIPS) or real estate. However, it is surprising that more people don’t recognise the superior inflation-hedging properties of commodities.
The beta to inflation (US Consumer Price Index (CPI)) of inflation-linked bonds and real estate, historically, is significantly lower than that of commodities (2.45): US TIPS (0), US Equity Real Estate Sector (1), House Prices (0.4). Furthermore, while broad commodities’ average monthly performance tends to increase when the CPI increases, this is not the case for other assets. The performance of TIPS appears to be relatively unrelated to the level of CPI. The performance of real estate, being equities or real assets, seems to worsen when the CPI increases.
Real estate suffers from the fact that, while rental incomes are linked to inflation (rents are part of the CPI basket, for example), the capital values themselves are not, and yet have a larger impact on the asset's price. Similarly, inflation-linked bonds are linked to inflation, but their price is also tied to real yields changes (through a duration multiplier) which tends to dilute the relationship to inflation itself.
Historically, commodities have been a better hedge to inflation than TIPS or real estate assets.
Myth 6: Futures are the best way to access gold for institutional investors
Futures markets tend to be extremely liquid and offer very low transaction costs. Therefore, investors assume that, if they can, it is always the most efficient way to implement a trade.
However, futures markets respond to their own constraints where banks tend to provide most of the hedging. Recently, banks have suffered from increasing regulation and operating costs that they have translated into their pricing of futures contracts, leading to significant tracking differences with the physical asset. Sometimes futures contracts are the only way to access a commodity, but for precious metals this is not the case.
For gold, this cost has, historically, represented 0.9%6 per year on average compared to owning gold bullion. Physically backed exchange-traded commodities (ETCs) have many advantages: limited operational burden, reduced tracking difference, cheap and liquid.
It is clear that commodities are a frequently misunderstood asset class, and many misconceptions remain today. For a fuller description of the fundamentals of commodity investing, please see The Case for Investing in Broad Commodities.
Sources
1 These myths were all addressed in The Case for Investing in Broad Commodities, November 2021, which takes a deep dive into commodity investing. This blog summarises and updates data addressing several of the ‘misconceptions’ listed in the piece.
2 For more information on contango and backwardation, see our educational ETPedia hub (specifically the ‘Costs and Performance’ tab).
3 S&P 500 TR.
4 Bloomberg GlobalAgg Index (government, corporate and securitised bonds, multicurrency across developed and emerging markets).
5 Source: WisdomTree, Bloomberg, S&P, Kenneth French Data Library. From January 1960 to July 2023. Calculations are based on monthly returns in USD. Broad commodities (Bloomberg commodity total return index) data started in Jan 1960. US TIPS (Bloomberg US Treasury Inflation-linked total return bond index – Series L index) data started in March 1997. US Equity Real Estate (S&P 500 Real Estate sector total return index) data started in October 2001. US House Price (S&P Corelogic Case-Schiller US National Home Price seasonally adjusted index) data started in January 1987. Historical performance is not an indication of future performance and any investments may go down in value
6 Source: WisdomTree, Bloomberg. From 4 June 2007 to 31 July 2023. The Performance of the physical Gold was observed at 1.30 PM Eastern Time to match the BCOM sub-index calculation time. You cannot invest in an Index. Historical performance is not an indication of future performance and any investments may go down in value.
This material is prepared by WisdomTree and its affiliates and is not intended to be relied upon as a forecast, research or investment advice, and is not a recommendation, offer or solicitation to buy or sell any securities or to adopt any investment strategy. The opinions expressed are as of the date of production and may change as subsequent conditions vary. The information and opinions contained in this material are derived from proprietary and non-proprietary sources. As such, no warranty of accuracy or reliability is given and no responsibility arising in any other way for errors and omissions (including responsibility to any person by reason of negligence) is accepted by WisdomTree, nor any affiliate, nor any of their officers, employees or agents. Reliance upon information in this material is at the sole discretion of the reader. Past performance is not a reliable indicator of future performance.