#How to trade with Volatility Skew

[mollysunder]

Idk who needs to hear this, but in the event Jinx and Viktor do partner up, Jinx is the more normal one of the two. Imo people in Zaun LIKE Jinx better than Viktor. Viktor's association with Jinx alone is damage control for his reputation.

If you think about it for even 10 seconds, you'd see how Viktor is just an offputting dude. Yeah Jinx has volatile outbursts of destruction, but that's concentrated at specific people and at Piltover. Jinx isn't out here performing strange feats of blood magic that turns innocent bystanders (Sky) to dust. Jinx dealing with hextech recognizes it's dangerous (it connects to the realm of Heebie Jeebies) and is hesitant with it. Viktor knows he doesn't know what he's doing and just keeps going. That's worse, that's so much more dangerous.

You could say that Viktor's well-meaning and eventually develops a cult following from it. But one, Jinx has a cult too, and it's more successful (they steal real estate). Two, Viktor's time in Piltover has really skewed what needs to be done. At best, as a part of the hextech duo, Viktor might have improved workplace safety with his inventions, maybe, but not really. He wants to help Zaun, but he's lost the plot in the frenzy of Piltover's trade expansion.

Ironically, Jinx almost certainly has a better handle on understanding Zaun's politics and issues than Viktor ever did. Jinx spent her formative years at the top of Zaun's hierarchy while being raised by the defacto kingpen/political leader and actively enforced Silco's regime as well. So Jinx knows who and what's up in Zaun because she kind of made it happen, lol.

Tldr: Between Viktor and Jinx, Jinx is the more charismatic and likable figure to Zaunites. Take a step back and notice how Viktor is an extra level of weird compared to Jinx.

[starseedfxofficial]

Unlocking EURJPY Profits with Keltner Channels: The Secret Sauce to Smarter Trading Why Most Traders Miss Hidden Market Moves (And How You Won’t) Trading EURJPY without a solid strategy is like trying to solve a Rubik’s Cube blindfolded—you’ll probably twist yourself into a loss. Many traders rely on the usual indicators, like Bollinger Bands or RSI, but they overlook one of the best-kept secrets: Keltner Channels. Keltner Channels don’t just show volatility; they reveal hidden momentum shifts and sniper-like entry points that most traders ignore. And when applied to EURJPY, a pair known for its volatility and deep liquidity, the results can be nothing short of magical. So, if you’re ready to outsmart the market and stop making rookie mistakes, let’s dive into the ninja-level tactics behind using Keltner Channels to dominate EURJPY trading. Keltner Channels vs. Bollinger Bands: The Battle of the Bands Bollinger Bands get all the love, but they’re like an old rock band refusing to retire—still useful but predictable. Keltner Channels, on the other hand, are the cool underground DJ that the pros follow but rarely talk about. - Keltner Channels are based on the Exponential Moving Average (EMA) and Average True Range (ATR)—which means they adjust dynamically to price movements, giving smoother and more reliable signals than Bollinger Bands. - Bollinger Bands use standard deviations, which can get skewed in strong trends, leading to false breakouts. Key takeaway: If you’re still using Bollinger Bands without checking Keltner Channels, you’re missing half the story. The Ultimate Keltner Channel EURJPY Setup for Maximum Profits Here’s the exact setup the pros don’t want you to know about: 1. Setting Up Keltner Channels - Apply Keltner Channels (20, 2.0 ATR) to your EURJPY chart. - Use a 50-EMA to confirm trend direction. 2. Identifying High-Probability Trades - Buy when: Price bounces off the lower Keltner Channel in an uptrend confirmed by the 50-EMA. - Sell when: Price rejects the upper Keltner Channel in a downtrend confirmed by the 50-EMA. - Avoid trading sideways markets—Keltner Channels shine best in trending conditions. 3. Secret EURJPY Timing Trick EURJPY follows Tokyo and London market session movements. The best trades often happen between 2 AM - 4 AM EST (Asian session volatility) and 8 AM - 10 AM EST (London session overlap). If you trade outside these windows, you’re playing the game on hard mode. Insider Tactic: The Keltner Channel Squeeze Strategy This is where things get spicy. A Keltner Channel squeeze occurs when the bands contract, signaling a breakout is coming. How to Trade It: - Wait for the channels to tighten—this means price is coiling up for a big move. - Look for a strong breakout candle closing outside the channels. - Enter in the direction of the breakout only if volume supports the move (check the ATR or volume indicator for confirmation). - Place a stop-loss just inside the channel, and ride the breakout until momentum fades. Why This Works on EURJPY: - EURJPY loves breakout moves due to its liquidity. - Many traders chase the move too late—by spotting the squeeze early, you get in before the herd. The One Mistake That Kills EURJPY Traders You’ve spotted the perfect trade. You enter. And then BAM!—fake breakout. The mistake? Ignoring ATR expansion. If ATR is decreasing while price touches the channel, it’s a weak move. Always wait for ATR to rise before entering a trade to confirm real volatility expansion. Real-World Case Study: Keltner Channels Catching a Monster EURJPY Move Trade Setup: - Date: January 2024 - Pair: EURJPY - Setup: Keltner Channel squeeze + 50-EMA trend confirmation - Entry: 158.50 (after breakout candle) - Exit: 161.20 (ATR expansion confirmed trend continuation) - Result: +270 pips profit in 3 days Traders relying on RSI alone missed this move, while Keltner Channel traders banked easy profits. Next-Level Tools to Improve Your EURJPY Keltner Channel Trading Trading Keltner Channels effectively requires precision. These tools help you execute with confidence: - StarseedFX Smart Trading Tool – Optimize your trades with automated lot size calculations and order management. - Free Trading Journal – Track your Keltner Channel trades and refine your strategy. - Live Trading Community – Get daily EURJPY trade setups and expert analysis. Final Thoughts: Why Keltner Channels Are Your EURJPY Cheat Code If you’re serious about dominating EURJPY, stop relying on the same old indicators. Keltner Channels provide the clarity, precision, and hidden insights that top traders use to stay ahead of the curve. Now that you have the tools and knowledge, it’s time to put this strategy to the test. Start tracking your EURJPY trades with Keltner Channels today, and see how your trading transforms. —————– Image Credits: Cover image at the top is AI-generated Read the full article

[dwcrypto]

The Role of Artificial Intelligence in Cryptocurrency Trading

The rapid evolution of technology has transformed cryptocurrency trading, with Artificial Intelligence (AI) leading the way. From predictive analytics to automated trading bots, AI is revolutionizing the way traders interact with the volatile crypto market. By leveraging AI and machine learning, investors can gain a competitive edge, minimize risks, and optimize their trading strategies. In this article, we’ll delve into how AI is shaping the future of cryptocurrency trading, the role of machine learning in understanding market trends, and the benefits of using AI-powered trading bots.

1. Introduction to AI in Cryptocurrency Trading

AI brings sophisticated algorithms and computational power to the crypto market, analyzing vast amounts of data faster than any human could. These capabilities make it possible to detect patterns, predict price movements, and execute trades with precision and speed.

2. How AI Crypto Trading Bots Work

AI-powered trading bots use machine learning algorithms to analyze real-time and historical market data, enabling:

Market Monitoring: Bots monitor multiple exchanges 24/7, identifying profitable opportunities.

Automated Execution: Once conditions match predefined parameters, trades are executed instantly.

Portfolio Management: Bots can optimize portfolios based on market trends and investor preferences.

🔗 Start trading smarter with AI tools at GCB Exchange.

3. The Role of Machine Learning in Crypto Markets

Machine learning, a subset of AI, is key to understanding and predicting market behavior. Here's how it works:

Data Analysis: Algorithms process large datasets to identify patterns and trends.

Price Predictions: AI models predict future price movements based on historical data.

Sentiment Analysis: Machine learning assesses market sentiment by analyzing news, social media, and trading volumes.

4. Benefits of Using AI in Crypto Trading

a. Speed and Efficiency

AI analyzes data and executes trades in milliseconds, a critical advantage in volatile markets.

b. Emotionless Trading

AI eliminates human emotions like fear and greed, ensuring consistent and rational decision-making.

c. Risk Management

AI bots can be programmed to implement stop-loss strategies, protecting investments from severe market downturns.

d. Personalized Strategies

Traders can customize AI tools to align with their trading goals, whether for day trading, scalping, or long-term investing.

5. Challenges and Limitations of AI in Crypto Trading

While AI offers immense potential, it comes with its challenges:

High Costs: Developing and maintaining AI trading systems can be expensive.

Algorithm Dependency: Over-reliance on AI can lead to losses if algorithms fail to adapt to unforeseen market conditions.

Data Quality: AI’s effectiveness depends on the quality of data it analyzes. Poor or inaccurate data can skew predictions.

6. Popular AI Crypto Trading Bots

Several AI-powered trading bots have gained popularity among crypto traders:

3Commas: Known for its user-friendly interface and customizable strategies.

HaasOnline: Offers advanced AI tools for professional traders.

Cryptohopper: Provides automated trading and backtesting features for beginners and experts alike.

7. The Future of AI in Cryptocurrency Trading

As AI continues to advance, its impact on cryptocurrency trading will grow. Key future developments include:

Adaptive Algorithms: AI systems capable of learning and adapting in real-time to market changes.

Integration with Blockchain: Combining AI with blockchain for enhanced transparency and security.

Wider Accessibility: Making AI tools affordable and accessible to retail investors.

8. How to Get Started with AI in Crypto Trading

Research Platforms: Choose reputable exchanges and platforms offering AI trading tools, such as GCB Exchange.

Understand Algorithms: Familiarize yourself with how AI algorithms work to make informed decisions.

Test Strategies: Use demo accounts to test AI-powered bots before deploying them in live markets.

Conclusion

Artificial Intelligence is revolutionizing cryptocurrency trading, offering tools that enhance speed, accuracy, and profitability. While challenges exist, the benefits of AI in navigating the complexities of the crypto market are undeniable. By integrating AI and machine learning into your trading strategy, you can stay ahead in this competitive landscape.

[digital-marketing-services-dms]

AI Option Trading Strategies: Key Concepts and Effective Techniques For Beginners

Welcome to the Quantum Edge AI channel. In this video, I am going to discuss AI option trading strategies. You will also learn the key concepts and effective techniques for beginners.

These advanced options trading concepts, particularly option skew and how it influences trading decisions during events like a presidential election. You'll learn to capitalize on market volatility and apply a delta-neutral trading strategy effectively.

#quantumedgeai #optionstrading #stocktrading #ai #trading #stocks #stocktrading #stockmarket

[stockmarketanalysis]

Complete Guide to Gaps in Financial Markets

Gaps in financial markets are a fascinating phenomenon that often indicate misalignments in asset pricing, liquidity, or market information. These gaps can lead to lucrative opportunities but also carry significant risks. In this guide, we’ll explore what market gaps are, why they occur, and how investors can navigate them effectively. By the end, you’ll understand their impact on market efficiency and the strategies to address them.

What Are Gaps in Financial Markets?

Market gaps refer to situations where there is a significant difference between the supply and demand of an asset, leading to price discrepancies or liquidity shortages. These gaps manifest in various forms, including price gaps during trading, regulatory inconsistencies, and even informational disparities.

For example, in the Indian stock market, gaps often appear during major announcements such as quarterly earnings reports or government policy changes. A classic instance was the price gap seen in Reliance Industries Ltd. shares after the company announced its partnership with Facebook for Jio Platforms in April 2020.

Types of Gaps

Understanding the types of gaps is essential for identifying their implications. Here are the primary categories:

Price Gaps

These occur when there is a sudden shift in an asset's price between trading sessions. For instance, the Sensex witnessed a significant price gap on March 24, 2020, as it rebounded by 2,476 points after a lockdown-induced slump.

Liquidity Gaps

These are situations where there aren’t enough buyers or sellers for an asset, leading to market stagnation. A notable example was the liquidity crunch in Yes Bank’s shares during its crisis in 2020.

Regulatory Gaps

Discrepancies in regulations across markets can cause inefficiencies. For instance, India’s capital controls on foreign investments sometimes create gaps between domestic and foreign pricing of the same assets.

Supply and Demand Gaps

These occur when there’s a mismatch between the availability of assets and investor interest. The IPO of Zomato in 2021 saw an oversubscription, highlighting demand gaps in the retail and institutional segments.

Causes of Gaps in Financial Markets

Gaps don’t occur in isolation. They are driven by several factors:

Market Volatility

Volatility spikes during events like elections or policy announcements. For example, the Union Budget announcement often triggers large movements in the Nifty and Sensex indices.

Economic Policies

Decisions such as repo rate changes by the Reserve Bank of India (RBI) can create gaps. A recent example was the monetary policy announcement in June 2023, which led to a surge in banking sector stocks.

Information Asymmetry

When market participants have uneven access to information, gaps emerge. For instance, insider trading cases like the one involving Deepak Kochhar highlight how privileged information skews market dynamics.

Behavioral Factors

Investor psychology, including panic selling or over-optimism, contributes significantly. The mass sell-off during the 2008 global financial crisis was a classic behavioral-driven gap.

Understanding Market Inefficiencies

Market inefficiencies are closely tied to gaps. They occur when prices don’t reflect all available information. The Efficient Market Hypothesis (EMH), proposed by Eugene Fama, suggests that true gaps should not exist in efficient markets. However, studies show persistent inefficiencies due to:

Arbitrage Opportunities

Gaps often lead to arbitrage opportunities where traders buy low in one market and sell high in another. For example, differences in pricing between National Stock Exchange (NSE) and Bombay Stock Exchange (BSE) have created such opportunities.

Behavioral Biases

According to Richard Thaler, a pioneer in behavioral finance, irrational decisions often widen gaps. The hype surrounding tech stocks in the dot-com bubble exemplifies this.

Structural Issues

Structural inefficiencies, such as limited access to derivatives for retail investors in India, exacerbate gaps.

Market Gaps in Practice

Market gaps provide both opportunities and challenges. Here’s how they manifest in real-world scenarios:

Trading Gaps

Gaps are critical for traders who use strategies like technical analysis. For instance, gap trading is common in Indian markets during events like RBI policy meetings or geopolitical tensions.

Case Study: COVID-19 Market Impact

The pandemic-induced crash in March 2020 created unprecedented price gaps. Sectors like IT and Pharma rebounded strongly, showcasing how gaps can lead to rapid corrections.

Sector-Specific Gaps

Sectors like real estate and infrastructure in India often experience liquidity gaps due to delayed project approvals or funding shortages.

Statistics and Research

According to a study by McKinsey, nearly 60% of market inefficiencies stem from liquidity gaps in emerging markets like India.

Research from NSE shows that post-budget trading sessions in India have a 25% higher chance of experiencing price gaps compared to regular sessions.

Behavioral finance studies by Nobel Laureate Daniel Kahneman reveal that panic-induced selling contributes to over 30% of sudden market movements during crises.

Risks and Challenges

While gaps create opportunities, they also pose risks:

Unpredictability

Market gaps are inherently difficult to predict. A sudden geopolitical event like the India-China border clashes in 2020 led to massive market disruptions.

Liquidity Risks

Inadequate liquidity can trap investors. For example, during the IL&FS crisis, many debt funds faced redemption challenges due to liquidity gaps.

Regulatory Challenges

Inconsistent regulations across regions lead to inefficiencies. For instance, India’s capital gains tax policies often cause discrepancies in foreign investor behavior.

Closing the Gaps: Solutions and Policies

Efforts to mitigate gaps involve collaboration between policymakers, traders, and institutions. Key strategies include:

Improved Regulations

Harmonizing regulations across global markets can reduce gaps. Initiatives by SEBI to improve transparency in IPO processes are a step forward.

Technological Advancements

Tools like AI and real-time analytics can help traders identify and respond to gaps. Platforms like Zerodha and Upstox now offer advanced data visualization.

Global Collaboration

Organizations like the IMF and World Bank advocate for cross-border policy frameworks to address systemic inefficiencies.

Gaps in financial markets are both a challenge and an opportunity. By understanding their types, causes, and implications, traders and policymakers can make informed decisions. From price gaps during major announcements to behavioral-driven inefficiencies, these phenomena shape the market landscape.

As the Indian stock market evolves, addressing gaps through technological innovation and regulatory harmonization will be crucial. By staying informed and leveraging tools, investors can navigate these gaps effectively.

This guide aims to equip you with the knowledge to identify, understand, and act on gaps in financial markets, enhancing your trading and investment strategies.

[s3dadesignfirm]

Effectively Calculating Construction Project Margins

An accurate estimation of construction project margins is a lynchpin of the construction industry. The margin, the difference between the project cost and the selling price, determines the project’s profitability. Practical margin calculation not only safeguards the project against potential financial risks but also ensures a healthier bottom line for the business.

However, with volatile material prices, labor costs, and numerous unforeseen contingencies, this calculation becomes a complex task. For instance, the construction of a commercial building, initially budgeted at $2 million, might cost $2.5 million due to unexpected changes in steel prices, adding extra costs to the project.

Hence, understanding how to calculate these margins meticulously is essential to the success of any construction project. This article delves into the nitty-gritty aspects of calculating construction project margins effectively, providing practical insights and strategies.

For the best resource management tools for your next construction project, visit ALICE Technologies.

Key aspects to calculating construction project margins

The following outlines five key steps, each integral to accurately calculating construction project margins and thus ensuring project profitability and financial stability.

Comprehensive cost estimation

This involves a thorough assessment of all potential costs associated with the project. This includes direct costs like materials, labor, and equipment, along with indirect costs such as supervision, insurance, and permits.

For example, if a project requires specialized machinery, the cost of hiring or purchasing this equipment must be incorporated into the overall cost estimation.

Accurate project timeline

The project timeline significantly impacts labor costs, which in turn affects the project margin. Delays can lead to additional labor hours, increasing the project cost. For instance, if a project initially estimated to take six months extends to eight months, the extra two months of labor costs must be factored into the margin calculation.

Contingency allowance

As construction projects are susceptible to unforeseen circumstances, such as fluctuating material prices or unexpected site conditions, a contingency allowance should be included in the cost estimation. This acts as a financial safety net, protecting the project margin. For a $2 million project, a 10% contingency allowance of $200,000 could be set aside to cover potential unexpected costs.

Market analysis

Regularly analyzing prevailing market conditions can help predict potential labor and material cost fluctuations. If, for example, there’s an ongoing trade war affecting steel prices, this should be taken into account in the margin calculation.

Profit analysis

Once all costs are accounted for, a percentage of profit needs to be added to determine the final selling price of the project. This percentage can vary based on industry standards, market conditions, and company objectives. If the project’s total cost, including contingencies, is $2.2 million and a profit margin of 20% is desired, the selling price would be set at approximately $2.64 million.

Common pitfalls in calculating project margins

The following points detail some of the most common mistakes made during the calculation of project margins, which can lead to significant miscalculations and potential financial drawbacks:

Neglecting soft costs: Soft costs, such as engineering fees, legal expenses, and loan interests, are often overlooked during margin calculation. Ignoring these costs can lead to inaccurate margins.

Ignoring market volatility: Failure to anticipate market volatility can lead to incorrect project cost estimation. For instance, a sudden surge in fuel prices can inflate transportation costs, thereby impacting the project margin.

Inadequate risk analysis: Not incorporating a comprehensive risk analysis in the project cost can skew the margin calculation. Risks like project delays, scope changes, and equipment failures, among others, should be factored in.

Overlooking overhead costs: Overhead costs such as rent, utilities, and administrative expenses contribute significantly to the total project cost. Neglecting these in the margin calculation can result in lower-than-expected profits.

Incorrect labor cost estimation: Errors in estimating the cost of labor, including benefits and taxes, can significantly impact the project margin. If not accounted for, the escalated labor costs can erode the project’s profitability.

Avoiding these common pitfalls in calculating construction project margins is crucial for maintaining profitability and ensuring the project’s success.

Mastering the art of calculating construction project margins

Calculating construction project margins is an intricate process demanding comprehensive cost estimation, accurate project timelines, contingency allowances, market analysis, profit analysis, and diligent avoidance of common pitfalls.

By conducting a meticulous calculation that factors in all these elements, businesses can safeguard their profitability, ensuring the long-term success and sustainability of their construction projects.

This robust margin calculation strategy can empower businesses to navigate the complexities of the construction industry, ultimately resulting in financially viable and strategically sound projects.

[ailtrahq]

Bitcoin (BTC) is clinging to the key $26,800 mark prior to the Oct. 12 Wall Street open as United States inflation data continued to beat expectations.BTC/USD 1-hour chart. Source: TradingViewBTC price reacts as CPI surpasses predictionsData from Cointelegraph Markets Pro and TradingView showed BTC price volatility staying muted after two-week lows seen the day prior.These had come thanks to U.S. macroeconomic data revealing persistent inflation continuing to take markets by surprise. On the day, the September print of the Consumer Price Index (CPI) bolstered the trend, coming in at 3.7% year-on-year versus 3.6% expected. Less food and energy, the tally was 4.1% — matching forecasts.“The all items index increased 3.7 percent for the 12 months ending September, the same increase as the 12 months ending in August,” an official press release from the U.S. Bureau of Labor Statistics confirmed. “The all items less food and energy index rose 4.1 percent over the last 12 months. The energy index decreased 0.5 percent for the 12 months ending September, and the food index increased 3.7 percent over the last year.”Reacting, financial commentary resource The Kobeissi Letter nonetheless emphasized the tight spot in which monetary policy — and the Federal Reserve — now found itself.“We have PCE and PPI inflation rising with CPI inflation above expectations,” it wrote on X. “How can the Fed cut interest rates any time soon?”The concept of “higher for longer” when it comes to U.S. interest rates is broadly expected to result in pressure for risk assets, including crypto. Following CPI, the odds of the Fed hiking rates further at the next meeting of the Federal Open Market Committee (FOMC) on Nov. 1 were nonetheless minimal at just 7.4% per data from CME Group’s FedWatch Tool.Fed target rate probabilities chart. Source: CME GroupAnalyst on Bitcoin vs. macro: "Bad = bad"Turning to Bitcoin itself, already cautious market participants had little reason to expect a return to upside in the short term.Popular trader Skew continued to flag $26,800 as the zone for bulls to flip to support.$BTC 4H CPI later today going to see how LTF structure develops clear 4H demand area here & $26.8K remains important for control If buyers can reclaim & hold $26.8K will look for some kind of 4H EMA trend test or reclaim staying more cautionary till confirmations pic.twitter.com/58BKDZyLBj— Skew Δ (@52kskew) October 12, 2023 Monitoring resource Material Indicators revealed a lack of bid liquidity much above $24,750, a key level from the past two quarters.Looking at #BTCUSDT on #FireCharts < 30 mins ahead of today's Economic Reports 3 things stand out:1. Bid liquidity laddered down to the LL at $24,750 2. Yellow stopped their TWAP sell strategy 3. Purple Whales have been selling pic.twitter.com/4cant18F4o— Material Indicators (@MI_Algos) October 12, 2023 “It's been a while since we've discussed whether good = good or good = bad for BTC price,” co-founder Keith Alan added in commentary on the macro aspect ahead of CPI. “I'm no economist, but based on yesterday's reports, the overall economic outlook and geopolitical tensions, I'm going to go with bad = bad.”Continuing, trading firm QCP Capital described “unabated” downhill trajectory on Bitcoin and largest altcoin Ether (ETH) coming despite various potential bullish factors in Q4.“Hopefully the relative underperformance of BTC and ETH to the upside now also mean their beta is lower to the downside as well, should CPI come in stronger than expected,” it wrote in a market update earlier on the day.“Otherwise, we continue looking at the key levels of 25-26k on the downside, and 29-30k on the topside as critical to determine the next trend.”This article does not contain investment advice or recommendations. Every investment and trading move involves risk, and readers should conduct their own research when making a decision.

[nklhuychung45]

Gamma Pricing Model

What Is the Gamma Pricing Model?

As of my last knowledge update in September 2021, there is no widely recognized "Gamma pricing model" in finance or economics. It's possible that a new pricing model with that specific name has emerged since then or that it is a less well-known or specialized model used in a specific industry or context.

If you are referring to a specific "Gamma pricing model," I would recommend providing more context or details about its application, the financial instruments it is used for, or any specific theories or methodologies associated with it. This additional information would help me provide a more accurate and relevant response.

In general, pricing models in finance are used to determine the fair value or price of financial instruments, such as stocks, bonds, options, and derivatives, based on various factors like market conditions, interest rates, volatility, and underlying asset characteristics. If you have a specific pricing model or concept in mind, please provide more details, and I'll do my best to provide information based on the available knowledge up to September 2021.

Understanding the Gamma Pricing Model

I apologize for any confusion in my previous responses. The term "Gamma Pricing Model" appears to be less common in the context of finance or economics, and it might not be widely recognized under that name. However, I can provide information on a concept related to options trading called "gamma."

Gamma is a Greek letter used in options trading to measure the rate of change in an option's delta concerning changes in the underlying asset's price. It is one of the option Greeks, which are used to quantify how an option's price will change in response to various factors. The main Greeks include:

Delta: Measures the sensitivity of an option's price to changes in the underlying asset's price.

Gamma: Measures the rate of change of an option's delta concerning changes in the underlying asset's price. In other words, it quantifies how much the delta of an option will change as the underlying asset's price moves.

Here's how gamma works:

Positive Gamma: When an option has a positive gamma, it means that the delta of the option increases as the underlying asset's price moves in favor of the option holder. This can provide opportunities for traders to profit from price movements, as the option becomes more sensitive to changes in the underlying asset's price.

Negative Gamma: When an option has a negative gamma, it means that the delta of the option decreases as the underlying asset's price moves in favor of the option holder. This can lead to increased risk for option sellers, as they may need to adjust their positions to hedge against adverse price movements.

Gamma is particularly important for option traders and market makers because it helps them manage risk and make trading decisions. Understanding how gamma changes with respect to the underlying asset's price can be crucial in constructing options portfolios and managing potential price swings.

If you have a more specific "Gamma Pricing Model" in mind that is distinct from the concept of gamma in options trading, please provide additional context or details, and I'll do my best to provide a more accurate response.

Gamma and Volatility Skew

Gamma and volatility skew are both important concepts in options trading, and they are related in how they affect options pricing and risk management.

Gamma: Gamma measures the rate of change in an option's delta concerning changes in the underlying asset's price. In simpler terms, it quantifies how much an option's delta will change as the underlying asset's price moves.

High Gamma: When an option has a high gamma, it means that its delta is very sensitive to changes in the underlying asset's price. This can lead to significant changes in delta and, therefore, potential profits or losses for the option holder as the underlying asset's price moves.

Low Gamma: Conversely, a low gamma indicates that the option's delta is not very sensitive to changes in the underlying asset's price. Options with low gamma tend to have more stable delta values, and their prices change less rapidly in response to small price movements in the underlying asset.

Volatility Skew: Volatility skew, or simply "skew," refers to the uneven distribution of implied volatility across different strike prices of options on the same underlying asset. In most cases, volatility skew is associated with equity options (e.g., stock options) and is a result of market participants' perceptions of risk.

Positive Skew: A positive skew means that implied volatility is higher for out-of-the-money (OTM) options (options with strike prices significantly above the current market price of the underlying asset) compared to at-the-money (ATM) and in-the-money (ITM) options. This is often observed in equities, where OTM puts may have higher implied volatility due to the perceived risk of sharp market declines.

Negative Skew: A negative skew means that implied volatility is higher for in-the-money (ITM) options (options with strike prices significantly below the current market price of the underlying asset) compared to ATM and OTM options. This can occur in certain markets, such as commodities or currencies, where there may be concerns about sudden price spikes.

The relationship between gamma and volatility skew is that they both play a role in shaping the risk and reward characteristics of options:

High Gamma in Skewed Environments: In markets with a volatility skew, options with high gamma (often OTM options) can be particularly sensitive to changes in the underlying asset's price. Traders and investors need to be aware of this sensitivity when trading these options, as they can experience rapid price swings.

Managing Skew Risk: Understanding volatility skew is crucial for managing risk in options portfolios. Traders may choose to use strategies like vertical spreads or butterflies to mitigate the impact of skew on their positions.

Overall, both gamma and volatility skew are essential factors to consider when trading options, as they can significantly influence an option's price and risk profile. Traders should be aware of these factors and adjust their strategies accordingly to achieve their desired risk-reward outcomes.

Read more: https://computertricks.net/gamma-pricing-model/

[reenajain]

How does IV skew vary across strike prices?

Implied volatility (IV) skew refers to the difference in implied volatility levels among different strike prices of options. IV skew can vary across strike prices, and its behavior is influenced by market dynamics and factors specific to the underlying asset. Generally, there are two common patterns observed in IV skew:

Normal Skew: In many cases, especially in equity markets, IV skew exhibits a normal skew pattern. As strike prices move closer to being in-the-money, the implied volatility tends to decrease. Conversely, as strike prices move further out of the money, the implied volatility tends to increase. This reflects the market's perception that there is a higher potential risk associated with downward price moves compared to upward price moves.

Reverse Skew: In certain scenarios, such as during market downturns or events with heightened uncertainty, IV skew may exhibit a reverse skew pattern. In this case, the implied volatility of out-of-the-money options is lower compared to in-the-money options. This can be attributed to increased demand for downside protection, driving up the prices and implied volatility of deep in-the-money put options.

It is important to note that IV skew is not always consistent across all strike prices and can vary depending on the specific market conditions, supply and demand dynamics, and the sentiment of market participants. Traders and investors analyze IV skew, the curvature and other characteristics to gain insights into market expectations and use it to inform their options trading strategies.

Refer this video which I am sending across, for your reference. This shall enable option traders understand the behaviour of prices and shape of the skew.

[starseedfxofficial]

The Underground Guide to Yearly Delta Neutral Strategies: How to Profit in Any Market Condition Why Most Traders Get It Wrong (And How You Can Avoid It) If you’ve ever felt like trading is a cruel prank played by the universe, you’re not alone. Most traders ride the emotional rollercoaster of euphoria and despair, but what if there was a way to step off that ride? Enter yearly delta neutral strategies—the secret sauce hedge funds and institutional traders use to generate consistent returns while dodging market volatility like a ninja in the night. But here’s the kicker: most traders misunderstand delta neutral strategies. They think it’s some elite-level alchemy only available to Wall Street insiders. Not true! If you know where to look, you can leverage these strategies to your advantage. Today, I’m revealing the hidden patterns, elite tactics, and underground trends that most traders overlook. What Is a Delta Neutral Strategy (And Why Should You Care)? At its core, a delta neutral strategy is a trading approach designed to eliminate or drastically reduce the impact of price movements on a portfolio. This means that no matter where the market goes—up, down, or sideways—your exposure remains minimal. Instead of making directional bets, you’re playing the numbers game with calculated precision. Key Benefits of Yearly Delta Neutral Strategies: - Minimizes Market Exposure: Your P&L isn’t held hostage by market swings. - Consistent Returns: When executed correctly, these strategies generate steady profits. - Low Emotional Stress: No more panic-selling or revenge trading after a bad move. - Risk Reduction: Perfect for traders who want to avoid high-volatility chaos. Now, let’s dive into some elite, little-known delta neutral tactics. The Hidden Formula Only Experts Use Most traders focus on short-term delta neutral setups, but the real goldmine lies in yearly rebalancing. Institutional traders know that over long periods, markets move through cycles—bullish runs, bearish slumps, and stagnation. Instead of adjusting delta neutrality every week, hedge funds adopt a yearly delta neutral structure to benefit from premium decay, time arbitrage, and mispriced volatility. The 3-Step Yearly Delta Neutral Playbook: - Construct the Right Position: Use options, futures, or a combination of assets to create a delta-neutral position. The key? Pair assets with negative correlation (e.g., long SPX straddles vs. short volatility ETFs like UVXY). This ensures price fluctuations don’t affect your portfolio. - Time Your Entry Based on Market Cycles: Enter positions when implied volatility is high. Why? Because selling overpriced options allows you to collect maximum premium while maintaining a hedged position. - Rebalance Annually, Not Weekly: Instead of constantly tweaking your delta neutrality, use yearly rebalancing to maintain optimal exposure. This reduces transaction costs and prevents over-adjusting your trades. Why Most Traders Fail at Delta Neutral Trading Here’s the brutal truth: most traders think delta neutral means “risk-free.” It’s not. The biggest pitfall? Poor risk management. If you don’t account for shifts in implied volatility, market skew, or liquidity constraints, your so-called delta neutral position can quickly become a ticking time bomb. Elite-Level Risk Management Tactics: - Monitor Vega Exposure: High vega means your position is sensitive to volatility swings. Use calendar spreads to hedge this risk. - Watch Gamma Decay: If you ignore gamma, sudden market moves could wreck your neutrality. To avoid this, use wide-wing iron condors with deep OTM strikes. - Adjust Positioning with Volatility Regimes: In high-volatility markets, use wider spreads. In low-volatility environments, adjust positioning to collect time decay. Emerging Trends: The AI-Powered Delta Neutral Edge Here’s what no one is talking about: AI-driven trading algorithms are revolutionizing delta neutral strategies. With machine learning, traders can: - Automatically rebalance portfolios based on real-time volatility shifts. - Optimize delta-neutral positions with probability-based modeling. - Identify market inefficiencies faster than any human trader. How to Leverage AI for Delta Neutral Trading: - Use Smart Trading Tools: Platforms like StarseedFX’s Smart Trading Tool (https://www.starseedfx.com/smart-trading-tool/) can automate lot sizing, order management, and risk exposure adjustments. - Join AI-Powered Trading Communities: Engage with expert analysis and daily alerts at StarseedFX Community (https://www.starseedfx.com/community/). Final Thoughts: The One Strategy Hedge Funds Don’t Want You to Know If you take only one thing away from this, it’s this: yearly delta neutral strategies aren’t just for hedge funds. They’re accessible to retail traders who know where to look. By structuring positions carefully, managing risk efficiently, and leveraging AI-driven tools, you can generate consistent profits with minimal market exposure. Want to dive deeper into this strategy? Check out our free Forex courses at https://www.starseedfx.com/free-forex-courses. —————– Image Credits: Cover image at the top is AI-generated Read the full article

[collegeafricagroup33]

Microsoft Excel

MS Excel is used extensively in firms around the globe, yet it is often perceived as daunting because of the variety of features, shortcuts and formulation either. Advanced Microsoft Excel covers all ideas on the means microsoft excel 2019 to management finances utilizing features similar to logical take a look at, lookup and superior reporting features. Excel could be accessed throughout all my units and in addition on all platforms.

You can create a Pivot Table by choosing any cell in a knowledge set, clicking PivotTable on the Insert tab and clicking OK. Excel has a strong range of features, nevertheless it may also be intimidating – and most users barely scratch the surface. You now have access to a complete online library of stock photographs and icons that may use used to take your next presentation or doc to the subsequent degree. Gone are the days of needing to look for images, saving them out and importing them.

Additionally, it features a wide selection of visualisation instruments that make it easy to generate stunning graphs and charts. Furthermore, Microsoft Excel consists of fantastic collaboration instruments that make working with others and sharing documents simple. After attending this training course, delegates will be capable of generate equations permitting them to offer additional information on important firm functions. They'll have the flexibility to create spreadsheets that higher organise information and give a clearer picture of what's being enter.

Delegates will study various capabilities of Excel to take care of the spreadsheet, create graphical visualisation, and take environment friendly choices to realize proficiency within the organisation. During the coaching course, they may also master the details about the essential worksheet modelling in enterprise analytics. In this 1-day Microsoft Excel VBA and Macro Training course, delegates will get hold of a strong understanding of Visual Basic for Applications and macros. During this coaching, they'll get knowledge of tips on how to handle and regulate user enter by creating person varieties in Excel.

By buying, one license, i received 5 further licenses which i could share with my family. The onedrive feature connected with excel helped me in fixing the storage points too. 3 random questions primarily based on our in style YouTube playlist of Excel hacks in 2 minutes or less. Guess the answer, view the outcome and watch the video clip for extra particulars. CONCATENATE lets you be part of text/ cells together to create a single cell.

The instruments you should use embody sorting, formulae and features and queries. At the top of this coaching course, delegates will acquire insights into all of the totally different functions used in Excel. Delegates may also get familiar excel features with summarising data using histograms and Pareto charts. Our highly professional trainer with abundant information has curated this coaching course to drive the delegates to the trail of gaining enterprise analytics fundamentals and enhancing data-driven decision-making expertise.

INDEX, OFFSET and WINDOW capabilities are the new youngsters on the block in DAX. Learners are required to have knowledge, comprehension and utility of English at Grade 10 or equivalent. The Late Shove report provides a synopsis of the activity in the every day closing public sale throughout the Top forty, Mid Cap and Small Cap indices. It enables merchants and buyers function of microsoft excel to identify particular stocks that have experienced unusual moves within the auction to raised trade these moves. An elegant model to visually examine numerous present and historical forex volatility skews and time period buildings as published by Bloomberg.

But with the quantity of obtainable data growing every day, the power to make sense of all of that information is turning into increasingly more difficult. Fortunately, that is where the facility of Microsoft® Office Excel® 2016 might help. Excel can help you arrange, calculate, analyze, revise, update, and current your information in ways that can help the choice makers in your group steer you in the proper direction. It may even make these tasks much simpler for you to accomplish, and in a lot less time, than when you used traditional pen-and-paper strategies or non-specialized software.

The task outlines various questions you can ask your self to further refine your seek for info. You are then instructed to assemble the data and analyse it and, finally, to current your findings in a report. With this information, you will be able to start out your research.

[dacxiglobal]

7 Reasons Why Cryptocurrency Belongs In Your Retirement Portfolio

Across the world, governments are faced with the reality that most households aren’t saving enough for retirement. 

Sadly, the era of company-sponsored pension plans is long gone and both Millennials and Boomers are bombarded with the high costs of basic priorities such as housing, education and healthcare that compete directly with investment plans and retirement savings. 

According to a recent study carried out by Ramsey Solutions, about half of Americans are not saving for retirement, and the few who do save aren’t saving enough. Folks, that’s a crisis. 

In another survey, only 3 in 5 households headed by someone between the ages of 45 and 54 had a retirement account with an average value of $83,000, and 13% of people in their 40s had absolutely no retirement savings. 

Apparently, 56% of Gen X folks have no clue how much they will need for retirement. This is according to a new study conducted by Bankrate. In addition, nearly half of working households will experience lower living standards during retirement, as revealed by the Center for Retirement Research at Boston College.

Save for Your Retirement By Investing in Crypto

It’s never too late to start planning or saving for your retirement. Its a fact that most people dread putting their money in risky (read: liquid and volatile) areas such as cryptocurrencies. 

We will tell you for free that any viable future financial plan should include Bitcoin and other cryptocurrencies which will provide a secure hedge against existing shaky financial systems. 

Today, many people are searching for opportunities that deliver high ROI within a short time frame, possibly through options like private equity funds, venture capital, real-estate investment trusts and lately cryptocurrency.

 And there are many people that continue with the struggle to max out their 401(k) contributions, stashing money in traditional IRA or mutual funds. 

Of course that’s crucial, but since the majority of retirement plans adhere to the “contribute and coast” rhetoric, ensuring smooth operations and optimal earnings, they eventually demand rebalancing of your finances as the global financial landscape evolves. 

Keep in mind that cryptocurrency is one of the biggest and most disruptive technologies in the financial arena in recent tim 

Cryptocurrency is coming into the broader market as a new asset class. The puzzling price swings in Bitcoin are luring millennials into pouring their money into risky investments. Interestingly, even the IRS has approved cryptocurrency IRAs. 

At this juncture, people are wondering which crypto asset class belongs to the retirement accounts, which crypto and retirement portfolios can feature in their investment strategy and if buying crypto is a great idea for long-term investing? 

Why Cryptocurrency Has Become Such a Big Deal?

Well, it’s the next big thing. Ask Wall Street fund managers — they say it is the future! 

Don’t be surprised when your friends and family start channeling their retirement dollars into cryptocurrency sooner rather than later. And don’t be startled when you see the cryptocurrency index or exchange-traded funds start to appear on the New York Stock Exchange. 

While the crypto space is susceptible to volatility, there are numerous indications that point to Bitcoin and blockchain as being a strong bull ideal for building exchange-traded funds as well as other instruments that are great for retirement savings. You too should be bullish on blockchain, Bitcoin and other cryptos. 

Rafael Carmona Toscano, a private investor and scholar of cryptocurrency who has been accumulating Bitcoin since 2013, notes that Bitcoin has a bright future. Rafael boasts hands-on experience with cryptos as he started out mining Bitcoin, and later purchased it. 

“Bitcoin is a bank for the unbankable,” he says, while stating that many people in the world have no bank accounts and hence cryptocurrency would solve a huge problem for those folks. 

Digital assets represent a new, fundamental asset class — one that is being considered carefully by investors. The main reason for this can be illustrated by Real Estate Investment Trusts, abbreviated as REITs. 

The underlying concept of REIT was first introduced as an asset class designed for legal investment in 1960. The investment grew gradually in subsequent decades, but did not gain momentum until the 1990s. In short, the early investors profited incredibly. 

Similarly, Bitcoin and other cryptocurrencies are probably the fastest growing asset class in the financial space. But do they qualify to be in your retirement account? Many experts believe so. 

Here are 7 reasons why you should include a cryptocurrency IRA (individual retirement account) in your retirement portfolio. 

#1: Diversification

The rule of thumb is never put all your eggs in one basket! Did you know that diversification is one of the strategies used to minimize exposure to a single asset class while still ensuring its growth? When it comes to retirement planning, one of the most effective ways to diversify is to put your savings in multiple mutual funds for different reasons such as income, growth, investing etc. Thereafter, you may need to re-balance your portfolio to ensure any rapidly growing segments of your portfolio do not skew your intended allocation. 

In traditional financial markets, most of the available tax-deferred retirement accounts restrict diversification to only two classes — bonds and stocks. But, as much as diversification involves spreading the risk across different asset classes, this should extend beyond bonds and stocks to include real estate, cryptocurrency and precious metals, among others. Since cryptocurrency is a promising new asset class with exciting upside potential, it is worth considering as a retirement plan alternative for your diversified portfolios. 

#2: Government Hedge

No government can directly control cryptocurrency. This is one of the reasons that has fueled its growth as an alternative currency. However, government regulations and policies do impact the bond market or Wall Street. In addition, central banks debase traditional currencies such as the U.S Dollar with evolving approaches to exchange and monetary policies. In contrast, digital assets like Bitcoin are immune to the effects of changing governmental directives. As such, we can consider cryptocurrency as an asset class capable of shifting in the opposite direction to dominant markets. This gives more credence to its diversification potential. 

#3. Long-Term Growth Opportunities

Keep in mind that while cryptocurrency is proving to be an ideal long-term investment, it is also volatile. And just like any other volatile investment, what skyrockets today can plummet tomorrow and that can be bad for your health! 

But do you know what other investments can be volatile? Stocks! That’s right. We all remember the Great Recession that happened from 2007–2009 where the U.S equities lost about 50% of their value in less than 18 months. 

But we’re not talking about day-to-day transactions. Retirement planning is a long term horizon where individuals count on accruing tax deferred benefits for several decades in order to achieve a given milestone. It’s this long term view that got those who saved for retirement out of the muddy waters of the Great Recession. 

Remember the lowest level for the Dow Jones Industrial Average during the crunch? It was at 6,547. Most notably, its highest level before the crash was at 14,164. A decade later, and the market has drastically risen over those points of the Great Recession. 

Similarly, while the price of cryptocurrency and particularly Bitcoin is significantly low at the moment, it is obviously higher when compared to early 2017. I bet that anyone would be quite happy with the returns, with the coin price having increased beyond double from its value of about $2,000 in May 2017 to the current November 2018 prices of around $4,000. 

#4. Cryptocurrency is Still Cheap

Is the current price tag of Bitcoin turning you away? Well, think again and remember even if Bitcoin’s not cheap, other cryptocurrencies are. 

The most important question is not whether or not cryptocurrency is cheap, but will it have appreciated in value a decade later? 

If you believe Bitcoin’s price will be in the range of $10,000, $100,000 or $1 million, then the coin is damn cheap today! 

While you may not be that guy who spent $100 in 2010 and now has a net worth of $7.4 million, you can still take the advice provided by Wences Casare, PayPal board member that you “put 1 percent of your income into Bitcoin and forget about it for ten years.” 

#5. Bitcoin Is Highly Resilient

Bitcoin is huge and the news of its death as highlighted in the 2013 smug LA Times article was premature, given that the coin is aging well. 

While the Bitcoin market has faced some tumultuous times, like earlier in the decade when it lost about 70 per cent of its value overnight, the coin has recovered — along with other cryptocurrencies. Realistically, the thought of Bitcoin fading away is impossible as long as the concept of cryptocurrency still exists. 

#6. Crypto Is Going Mainstream

You can use cryptocurrency on the online ecommerce marketplace, Overstock. Restaurants in Kenya and Silicon Valley will accept and give you a discount for using it. You can also buy your Sacramento Kings tickets with it. 

Some of the biggest companies on the planet like Microsoft, Dell, Tesla and Virgin Galactic are accepting Bitcoin. And why not? Its price is likely to be more tomorrow than it is today.

BitPay, a global payment company is already working with over 125,000 merchants across the globe that accept Bitcoin as a medium of exchange. The company goes a notch higher to allow Bitcoin users to hold a Bitcoin Visa credit card which enables users to transact anywhere this Visa is accepted. 

In essence, the fiction that “you can’t use Bitcoin to buy anything” is a fallacy, not a fact. Of course, We don’t expect you to hit your grocery store with it now, but you might be interested in knowing that a guy purchased a house with Bitcoin and made a $1.3 million return on the deal. 

#7. Supporting Technology

The world of technology is evolving so rapidly and its successful integration into crypto and retirement portfolios will depend on how fast its functionality will allow holders to quickly and smoothly trade coins and exchange cryptocurrency for fiat currency or non-tokenized assets in their portfolios, while ensuring complete automation, transparency and record-keeping. This will reduce the need for having “middlemen” that drive up charges and cost layers. 

The maturation of technologies that support trading in crypto is poised to increase its value, while pushing it into becoming mainstream. 

Ideally, the emergence of more retirement platforms that support the technological characteristics of cryptocurrency exchange and portfolio integration have the power to increase crypto gains for the early adopters. 

One example of a supporting retirement platform is Dacxi, an innovative platform that empowers new customers looking to hold on to their assets for the long-term. The company’s Dacxi Bundle is a first-of-its kind, combining the major coins by market capitalisation with an emerging coin with rapid growth potential. Ultimately, this helps new customers to spread their risk across four crypto assets automatically and at zero transaction fees! 

Tokens or bundles purchased by users are kept safely in 2FA, secure wallets. Users are able to rebalance amounts and adjust their portfolio as they choose. 

Take The Plunge

So, why be a statistic among people whose biggest regret is not saving enough for retirement? 

How much do you plan to spend when you finally take the plunge? The answer to this question is — as much you can afford. Only you know your own risk tolerance and capability to save or spend. 

Dacxi is proud to support people on a path to prosperity with crypto. If you would like to find out more then please join us at dacxi.com. We’re here to help.

[ailtrahq]

Bitcoin (BTC) stayed glued to $27,500 at the Oct. 4 Wall Street open as attention continued to focus on rampant United States yields.BTC/USD 1-hour chart. Source: TradingViewAnalysis: $27,000 now "key" for BTC priceData from Cointelegraph Markets Pro and TradingView showed a calm day for BTC price action while U.S. dollar volatility ruled.After its own spate of hectic trading to start the week, Bitcoin was once more seeking direction, with market observers marking out key price points.Popular trader Skew flagged market takers selling toward $27,600, lending “importance to this price level reclaim.”“Get that reclaim & decent pop will come,” he predicted in part of the day’s X analysis.$BTC takers selling into $27.6K adds importance to this price level reclaim Get that reclaim & decent pop will come note coinbase CVD (actual buyer led price into $27.6K) pic.twitter.com/Jr6MDb7ru1— Skew Δ (@52kskew) October 4, 2023 Fellow trader Crypto Tony additionally highlighted $27,000 as the line in the sand to the downside.$BTC / $USD - Update Holding that $27,000 low, so i remain long for the time being and would be shorting if we lose this low here, or pump up and reject hard as suggested on chart below pic.twitter.com/bSDjWWaJEU— Crypto Tony (@CryptoTony__) October 4, 2023 Updating his own trading strategy, meanwhile, trader Mark Cullen likewise placed emphasis on $27,000 holding as support.“Bitcoin getting a reaction from its first attempt into my zone & a tap of the break out trendline,” accompanying commentary stated. “Market conditions in Tradfi aren't great so pressure's down. Lets see if BTC can hold this area for a while longer, until other markets stabilize. Holding 27k is key for $BTC!”BTC/USD annotated chart. Source: Mark Cullen/XBitcoin bides its time as dollar sees sharp retraceAs Cullen and others explained, the mood on legacy markets was decidedly less stable than Bitcoin on the day.This came thanks to U.S. 30-year bond yields surging to 16-year highs — something which got commentators wary of a potential meltdown to come.Skew suggested that this angst over how macro forces would play out was responsible for the lack of significant BTC trading volume.“Not much besides dipping toes in the water kind of bid other than that it's perps mostly buying,” another X post stated earlier.“Market is likely trying to digest everything that is going on terms of risk parameters and exposure. Many are capitulating to cash imo under market distress.”U.S. dollar strength delivered upheaval of its own prior to the Wall Street open, with the U.S. dollar index (DXY) swiftly dropping from levels not seen since Q4 last year.As customary in recent times, BTC/USD continued to shake off snap DXY moves.U.S. dollar index (DXY) 1-hour chart. Source: TradingViewCommenting on the situation, Sven Henrich, founder of NorthmanTrader, showed that long term, DXY chart performance was behaving as expected.“Amid all the chaos & volatility one amazingly consistent clean chart: The US dollar respecting the channel trend lines,” he told X subscribers. “Negative divergence on recent highs at top of the channel. What happens with this will likely be one of the key market drivers for the rest of the year.”U.S. dollar index (DXY) chart. Source: Sven Henrich/XThis article does not contain investment advice or recommendations. Every investment and trading move involves risk, and readers should conduct their own research when making a decision.