5-Year SPX500 Expectations - Greatest Opportunity Of Your LifeWould you believe me if I told you the US & global markets (some) will rally more than 65% to 125% (or more) over the next 4 to 5+ years?
You would probably call me crazy for even suggesting that will happen in a reasonably short time frame.
But, what if I could show you how structurally (using Elliot Wave concepts and Fibonacci) this incredible rally may already be baked into the markets?
What if I could show you that, barring any major economic destruction event, the US Fed and Global Central banks may have unleashed the inflation beast - which could lead to massive Hyperinflation over the next 5+ years?
Would you be prepared for it? Would you even believe me if I could show you evidence that it may happen much quicker than you can imagine?
And would you believe me if I told you Gold/Silver will rally more than 500% over the next 5+ years while attempting to hedge global debt/inflation risks?
Now is the time to prepare for the greatest opportunity of your life. You must understand the structural mechanics of price related to the current global market dynamics.
Please boost and share this video with your friends. Everyone needs to be aware of what is likely to happen over the next 5+ years so they can prepare for and profit from these exceptional price trends.
Community ideas
Chronicle of a Foretold Pump/DumpPump/Dump schema:
Discrete Share accumulation.
Broadcasted Triggering Event (news, rumors, forums, etc).
Gather the mass of "Bagholders".
Dump all the load.
Pocket the quick profit.
I am not a fan of " meme stocks " because they're very much like penny stocks, prone to pump/dump schemes. How legal or illegal is this practice?, it is not us to decide, there are authorities who are supposed to regulate these behaviors.
Regardless of the morality of a it we can analyze the radiography of the move. Using the volume bars feature, you can see "big fat" candles on the accumulation phase, the "rumor" phase where the "roaring kitty" name was heard in the news, the spike and immediately took the stock to a quick profit of +120% overnight, and the fade phase, where the only thing that remained at the end was the frozen smile of the hopeful bagholders with a fading volume.
#LearnToEarn.
Be careful where you put your money, trading and investing requires knowledge of the company, its balance sheet, fundamentals and/or technical metrics. Don't follow the crowd, else you'll end up in the slaughter house. There's no free lunch in Wall St.
Let's remember this quote: "The game of speculation is the most uniformly fascinating game in the world. But it is not a game for the stupid, the mentally lazy, the person of inferior emotional balance, or the get-rich-quick adventurer. They will die poor." Jesse Livermore.
Predicting Bitcoin's Cycle Using the Elliott Wave TheoryGreetings, fellow traders. In this article, we'll be reassessing our annual Elliott Wave counts and going deeper into interpreting Bitcoin's current decade cycle. I'll make sure to segment each part by drawing insights from the previous cycles, also employing the Elliott Wave Theory, and integrating major timeline events to bolster my perspective on Bitcoin's potential trajectory in the upcoming cycle. The wave theory will help neutralize many of the irrational thoughts that other analysts may have that just show straight arrows to the upside. This thesis helps you get a better understanding of where pullbacks and areas of high strength (wave 3 impulses) may occur. Remember, the wave theory will never be perfect in painting the picture, but it will help you be positioned as best as possible with proper invalidation levels.
One of the most significant phenomena witnessed in the current financial market landscape is Bitcoin's adherence to a notably algorithmic parabolic trend, where cycles persist in a compounded manner in terms of percentages. This raises the crucial question: "Can we expect all past cycles to mirror the current one?" Answering this is very challenging. However, Bitcoin has one of the strongest strengths against all other coins, which is price history. Fundamentals attached, Bitcoin has been extremely resilient against major events (with wild swings), but the overall trend has remained in tact for over a decade. This indicates not only strength, but true adoption.
We must discern whether the price action will evolve into something new or continue the pattern of echoing past cycles (fractals). The most effective method for interpreting Bitcoin's price movements is through the logarithmic chart that is presented in the chart above.
When examining past cycles through the lens of only fractals (as that is how it has been for the past decade), the most effective approach to understanding the present cycle is by conceptualizing it as a sequence of nested '1-2' counts. In simpler terms, experiencing a succession of 1-2/1-2/1-2 patterns might lead to either optimistic expectations or impending disappointment. This ambiguity prompts consideration of an alternative bearish perspective, elaborated upon subsequently. Keep in mind, there's always room for firsts, meaning that the failure of the fractal pattern is always a possibility. Again, this idea is further explained in the bearish alternative explanation below.
Bearish Alternative:
For a more rational approach, the Elliott Wave Theory also suggests alternative pathways. One narrowed down scenario would be that the cycle has now matured, suggesting for a more maturing market with more complexity in corrective types (patterns).
The logarithmic chart may indicate a deceleration in the macro timeframe, suggesting that Bitcoin is currently in a maturity phase. Its role as a store of value to say the least. To simply put, the corrections will be far more controlled as investors create larger distribution patterns through the timeline and create demand/sell zones. Price maturity, a concept commonly observed in stock models, implies that markets do not move linearly and eventually reach an endpoint, including in price action. Utilizing the Elliott Wave Theory, we can generate one alternative count that shows the whole cycle is now possibly in a larger 1-2 of some sort:
1. The fact that we have a possible WXYXZ corrective pattern for the 2021-2023 bear market, this may indicate this is part of something larger. Usually, you will see wave 2's have a simple ABC/WXY type patterns.
2. This speculation can then lead us to believe that we could be part of a larger corrective pattern, most likely as a flat pattern now.
3. Consequently, this insight aids in forecasting that we are entering into the new phase of 'market maturity,' or what I like to term as the "flattening of the curve theory."
We could debate endlessly about the next bear market for Bitcoin, but the undeniable truth is that over the past 15 years, the market has proven its resilience against political turmoil, hacking attempts, and regulatory crackdowns.
It's remarkable to realize that aside from halvings, forks, and institutional adoption, there haven't been any significant bullish events/catalysts. This speaks volumes about Bitcoin's strength. There wasn't any single groundbreaking moment or major catalyst for each bull run. Instead, it was a series of interconnected events that sustained that momentum, leaving it to us as investors to identify distribution points.
How to trade tax-free: spread bettingCFD trading has a close cousin you may not know about … spread betting.
Just like CFD trading, spread betting allows you to speculate on the future direction of a market's price without owning the underlying asset.
Key advantages include:
Tax efficiency : Profits from spread betting are free from UK Capital Gains Tax*. Similar to CFD trading, there is also no stamp duty to pay. However, it does mean when spread betting, you can’t offset any losses against other capital gains.
Leverage : Spread betting allows you to control larger positions with a smaller amount of capital, amplifying potential profits but also potential losses - necessitating careful risk management.
Wide range of markets : You can go both long and short 1000s of markets, including stocks, commodities, forex, and indices.
Simplicity and clarity : Calculating your P&L from a spread bet is straightforward. Simply multiply the wagered amount by the per point movement in price. This simplicity makes spread betting accessible to traders of all experience levels.
For example, if you buy £1 per point of Wall Street at 39000 and later that day sell it at 39400, then you make 1 x 400 = £400 profit. Conversely, if Wall Street falls 400 points to 38600, you lose £400.
Sound familiar? Spread betting and CFD trading are very similar methods of trading financial markets but, importantly, may be taxed differently.
* Tax laws are subject to change and depend on individual circumstances. Tax law may differ in a jurisdiction other than the UK.
New Volume Footprint option on TradingViewHi all,
This is the first (stream replacement) educational video with a very quick overview of volume. Tradingview just released the new Footprint Beta tool. It's something I asked them for a long time ago, so I am glad it's finally here!
In this video I cover the time-price-opportunity tool as well as visible and fixed range. Leading into footprint.
This is not a deep dive, it's more an intro to and how these things come together. If there is enough interest in this idea I will create a sequence based on trading volume in depth.
Thanks for watching! See you on the next stream/idea.
Three Factors Keeping Oil Prices in CheckAT A GLANCE:
Despite ongoing geopolitical conflict, oil prices and volatility are relatively low
A rise in U.S. crude production and weak demand in China are helping oil inventories maintain average levels
Considering many factors like the Russia-Ukraine war, OPEC+ cutting production by 3.6 million barrels per day and conflict in the Middle East, many traders might be surprised to find out that oil prices are only around $82 per barrel and that implied volatility on crude options are trading at relatively low levels below 40%.
Inventories Remain at Average Levels
So why are crude oil prices not higher and more volatile? Part of the answer lies in inventories. Crude and product inventories are right around their seasonally adjusted averages for the past five years. This suggests that at least some cushion exists in the event of a supply disruption.
Given that oil production is about 3.5% lower globally than it would have been without OPEC+ production cuts, how is it possible that oil inventories are still at average levels? There are two reasons. First, a boom in U.S. production has replaced about one third of what OPEC cut.
The second reason is weak demand. China buys about 10 million barrels per day in the international markets, and its economy has been growing much more slowly than it was a few years ago. Slow growth in China often hits oil prices with a lag of about 12 months and may be among the factors preventing a further rise in global crude prices.
Higher Prices Expected?
That said, traders are displaying some signs of nervousness. The skew on CME Group’s WTI CVOL index is quite positive at the moment, suggesting that some traders are buying out of the money call options to protect themselves from the possibility of much higher prices.
If you have futures in your trading portfolio, you can check out on CME Group data plans available that suit your trading needs www.tradingview.com
By Erik Norland, Executive Director and Senior Economist, CME Group
*CME Group futures are not suitable for all investors and involve the risk of loss. Copyright © 2023 CME Group Inc.
**All examples in this report are hypothetical interpretations of situations and are used for explanation purposes only. The views in this report reflect solely those of the author and not necessarily those of CME Group or its affiliated institutions. This report and the information herein should not be considered investment advice or the results of actual market experience.
Exploring Auction Market Theory in Forex TradingAuction Market Theory (AMT) is a conceptual framework used to understand the dynamics of financial markets, viewing them as auctions where buyers and sellers interact to determine prices.
Although the AMT was initially developed to understand & analyse price action movements in the stock market, some of its core concepts can also be applied to any market, including forex.
Within the forex market, currency pairs are traded 24/5, with price driven by a multitude of factors such as economic data releases, geopolitical events, and market sentiment. Despite this complexity, AMT provides a framework for understanding market dynamics through the concepts of value, balance, and imbalances .
Value represents the equilibrium price at which buyers and sellers agree on the fair value of an asset. Market balance occurs when supply and demand are roughly equal, resulting in stable price ranges, while imbalances arise from deviations from this equilibrium due to shifts in market sentiment or unexpected events. These imbalances can create trading opportunities for astute traders who can identify them and act accordingly.
Lets now take a look into how this can be visually identified on a line chart using only price action.
Example 1
On the left, we can see an area of market balance. This is usually evident when the market is range bound as we can see in this case.
The midpoint of the range is the point of equilibrium. Value can be interpreted as the equilibrium price at which buyers and sellers agree on the fair value of a currency pair.
This equilibrium is constantly shifting as new information becomes available and market participants reassess their expectations.
When these expectations shift as a result of either economic data releases, geopolitical events, and/or market sentiment, price shifts away from the balanced price range and creates an imbalance within the market.
Identifying value areas are important because these can act as an area of future support/resistance for price. Notice how in this example, after price displaces from the balanced range, it later came back and found support near the fair value within that range.
Practical Application
One practical application of AMT in forex trading is through the analysis of price action and market profile. By observing how price behaves at different levels and how volume interacts with price movements, you can gain insights into market sentiment and potential areas of support and resistance.
For example, if a currency pair consistently fails to break above a certain resistance level despite multiple attempts, it may indicate strong selling pressure at that level, presenting an opportunity for short trades. Conversely, if a currency pair finds strong support at a particular price level, traders may look for buying opportunities as the market reverts to equilibrium.
To conclude, Auction Market Theory offers a valuable framework for understanding the dynamics of the forex market. By analysing price action, volume, and market profile through the lens of AMT, you can gain a deeper understanding of market sentiment and identify potential trading opportunities. While no theory can guarantee success in trading, incorporating Auction Market Theory into your analysis can help you make more informed trading decisions.
Please leave a comment if you've found this post helpful or if you have any questions.
Happy Trading
When Are You READY to Trade with REAL MONEY?Hello hello, R2F here with another discussion.
Today, I'd like to go over the question, 'when do you know you are ready to trade with real money?'
Too many traders rush into trading with real capital before they are ready, and end up losing more money than neccessary on learning journey. People are generally impatient creatures and want to get into actions as soon as possible. Perhaps they want to find out if they are magically a trading savant before wasting time on all the usual work that is required.
However, trading is extremely simple, albeit not easy. The difficult part comes in the form of the investment of time and experience, and refining yourself as a person. Once you had that in the bag, trading offers the potential for generational wealth that comes with the freedom of time.
Without further ado, I share my thoughts on how to approach this burning question.
- R2F
How To Trade Triangles Like A Pro?Welcome, traders and investors, to our educational post on ascending and descending triangles!
In the fast-paced world of financial markets, understanding chart patterns like these is crucial for making informed trading decisions. Ascending and descending triangles are powerful tools that provide valuable insights into market dynamics and potential price movements. In this post, we will delve into the characteristics of these patterns, explore how to identify them on price charts, and discuss effective trading strategies to capitalize on their implications. Whether you're a novice trader or an experienced investor, mastering these patterns can greatly enhance your ability to navigate the markets with confidence and precision.
What Is An Ascending Triangle?
An ascending triangle chart pattern is formed during the upward price movement in an uptrend. The price tends to consolidate for a while and allows the trader to draw a horizontal trend line on the upside. Simultaneously, it allows the trader to draw a rising trend line downwards. The pattern implies that the price is consolidating and existing buyers are closing partial positions and the market is expecting new buyers to join and continue the Bullish trend.
As a result, the price consolidates on the upper trend line and is unable to move higher and make new higher highs. However, the price does not make lower lows either, instead makes higher lows. So technical analysts look for trading opportunities and enter the market once the pattern is spotted on a price chart.
How To Identify The Ascending Triangle?
The ascending triangle pattern is similar to the other triangle patterns, but the location and shape of the triangle formation is very important. The shape of the ascending triangle should strictly contain the upper horizontal trend line and the lower rising trend line, failing this will invalidate the pattern. The pattern must be located within the uptrend, so it can be validated as a trend continuation pattern.
The ascending triangle can be spotted easily by its shape. The horizontal upper trend line and the rising lower trend line make it easy to spot the triangle. An ascending triangle forms during a bullish uptrend as the pattern is a continuation pattern. However, the pattern may form in any part of the chart and trend. The ascending triangle pattern formed during a uptrend is significant and produces the best trading results. So traders should look for the pattern while prices are in an uptrend and identify it using the triangle shape.
Features That Help To Identify The Ascending Triangle:
▪️ There should be an existing uptrend in the price.
▪️ The upper trend line should be horizontal.
▪️ The lower trend line must be a rising trend line.
▪️ The trend lines should be touched at least twice. The greater number of times the trend line is touched, the stronger it gets.
How To Trade The Ascending Triangle?
As mentioned earlier, the pattern not only provides the best entry point but provides the stop loss and takes profit too. Moreover, these points can be clearly defined and understood by the trader.
Entry point: During the market consolidation phase, the upper trend line acts as a resistance and the lower trend line acts as a support. As the market consolidation ends and the price starts to get momentum, it breaks the upper trend line. The best entry point is the breakout of the upper trend line or the resistance.
Price breakouts are normally associated with spikes in the trading volume. The increased trading volume implies the entry of fresh buying orders. Traders should look for trading volume levels during the breakout and confirm the breakout before entering the market with a BUY position.
The next confirmation is the classic price action which shows that the resistance has changed into support. Normally, price once breaks the upper trend line tries to move lower but will have ample support from the upper trend line which now starts to act support. This price action confirms the buying interest and gives the trader with additional confirmation and confidence.
Stop Loss: The best stop loss method is to exit the trade if the price breaks the support or the lower rising trend line. The breakout of the lower trend line implies the non-availability of the upside momentum and indicates the possibility of the return of the bears. (In the cryptocurrency market, there are often fake breakouts, and that's also worth considering!)
Take Profit: The projected take profit target is the farthest distance between the upper and lower trend lines. At the beginning of the pattern, the upper and lower trend line will be wider from each other. This distance can be measured and can be projected from the entry point to the upside. As per the pattern, this is the best take profit target.
What Is An Descending Triangle?
A descending triangle appears during a downtrend. The price tends to move lower and then finds a consolidation area, this consolidation area is the potential price level at which the market allows the trader to draw a horizontal trend line, due to the failure to make lower lows.
On the other hand, the price tries to move higher and fails to make any higher highs. Oppositely, the failure to make higher lows results in lower lows so the price action allows the technical trader to draw a descending trend line on the upside.
The combination of the upper and the lower trend line forms the shape of the descending triangle. Traders look for trading opportunities once the price consolidation ends. Price breakout from the descending triangle pattern indicates the beginning of the trend resumption. So traders enter the market in the direction of the previous trend direction.
How To Identify The Descending Triangle Pattern?
The following are the features that help to identify the descending triangles chart pattern.
▪️ There should be an existing downtrend in the price. To validate the pattern, it should form during an existing downtrend. The pattern that forms during an uptrend should be invalidated and not taken into account. As the trend is a BEARISH continuation pattern the formation during the downtrend is essential.
▪️ A lower trend line should be horizontal. The price should fail to make lower lows and usually bounce from the low, as a result, the lower trend line should be as horizontal as possible.
The upper trend line must be a descending trend line. The price action on the upper side is very crucial for this pattern. The failure of the price to make higher highs and instead of making lower highs shows the failure of the price to reverse the trend direction.
▪️ The trend lines should be at least touched twice, the greater number of times the trend line is touched it gets stronger. Trend lines must be validated independently, as a general rule of the trend line the price should touch the trend line at least twice. However, the more times a trend line is touched it gets stronger.
The upper and lower trend lines converge each other and look to join at the end, thereby forming the shape of a descending triangle. Traders can spot the pattern easily due to the shape of the trend lines, as the chart will make it easier to spot a consolidation area during a downtrend.
How To Trade The Descending Triangle Like A Pro?
As discussed earlier the pattern is a completely trade-able pattern, meaning it provides the trader with the best entry point and stops loss, and takes profit points. It must be mentioned that all of the parameters can be measured and identified easily.
Entry Point:
During the market consolidation phase, the price action makes the price bounce from the lower trend line and prevents the price to move higher than the upper falling trend line. The resultant shape of the descending triangle will be broken the consolidation phase ends as traders enter a fresh buying phase. The price breaks the lower trend line and continues to move lower, which is the prevailing downtrend.
Traders should confirm the entry point using additional confirmation using the trading volumes. Any breakout of trend lines or triangles is generally associated with increased trading volumes.
The increased trading volumes provide the necessary momentum for the price movement. So traders should look for increased volumes, however, if the descending triangle breakout does not show any increase in volume traders should refrain from trading as it may be due to a false breakout.
The next type of confirmation is by applying the support and resistance or trend line trading rules. The lower horizontal trend line effectively acted as a support during the market consolidation phase, while the upper trend line acted as a resistance.
So once the price breaks the support, it becomes resistance. There may be few instances when the price broke the support line and fails to continue or displays a false breakout.
Stop Loss:
The stop loss is the upper falling trend line because, if the price makes higher highs it shows the market intent to move higher or reverse the trend. So the best method is to exit the position if the price breaks the falling upper trend line or resistance.
Take Profit:
The pattern allows identifying the take profit by measuring the longest distance between the trend lines. Normally during the beginning of the descending triangle pattern is the longest distance, this shall be measured. This measurement from the entry point will provide the potential take profit position.
Understanding ascending and descending triangles is essential for any trader navigating the financial markets. These chart patterns offer valuable insights into potential price movements, providing traders with opportunities to enter and exit positions strategically. Ascending triangles typically indicate bullish continuation patterns, suggesting that an uptrend may persist after consolidation. On the other hand, descending triangles often signal bearish continuation patterns, indicating potential downtrends following consolidation. By recognizing these patterns and applying appropriate trading strategies, traders can enhance their decision-making process and improve their overall trading performance. Remember to combine pattern analysis with other technical indicators and risk management principles for optimal results in the dynamic world of trading.
Happy trading!🩷
Thanks for Your attention 🫶
Always sincerely with You, Kateryna💙💛
The TradingView Show: Live With OKX & TradeTravelChillGreetings, TradingViewers worldwide! This interview was conducted live and is now available for playback and on-demand viewing on our TradingView account, accessible for free. This program delves into trader education, cryptocurrencies, and the flexibility of trading from anywhere with an Internet connection.
Keep in mind that this show was streamed LIVE, so you might come across references to our live chat. No worries, though; you can still watch the show instantly and access the comments section below. Feel free to leave us your feedback!
Here's a glimpse of what we cover in this episode:
1. Gain insights into crypto trading, specific strategies, and the essence of trading them.
2. Understand the dynamics of trading on-the-go and establishing personal rules in an era where crypto trades round-the-clock and connectivity is constant.
3. Discover how TradeTravelChill began on TradingView and OKX, now leveraging our integrated broker partnership. TradeTravelChill and OKX are partners, with OKX being a broker partner on our platform, facilitating seamless connections for traders.
4. Dive into trade ideas and setups in crypto markets, particularly focusing on major coins.
5. Explore some of the hottest topics in crypto markets at the moment.
Our objective with this show is to educate traders worldwide! While we don't provide direct advice, our focus is on empowering traders to learn, practice, and excel in the markets.
Relax, ask questions, and enjoy the show!
Trade identification: Using bitcoin as an exampleHello,
Trade identification is the process through which you are able to identify setups that can be actioned on in the markets. For this example, I shall be using the BTCUSD chart to chant my path as I look for tradeable setups.
1: Structure drawing
Identifying the structure of trades is very key since it creates a sense of knowing where the market is at from a greater point of view.
The structure on a 2 weeks chart shows that the crypto is at the top of the chart. This shows that it might not be a good time to buy since it is advisable to buy at the bottom and sell at the top. However, we can always look for smaller trades using lower timeframes and get better setups.
2: Move to lower time frames & identify patterns.
Patterns are very key in helping you identify tradeable assets. For my asset I moved to the 6h timeframe to zone in and identify tradeable opportunities. This helped me identify the Expanding triangle setup on a bigger scale.
This is a sideways move that will help me trade on the asset for the short term. In the expanding triangle I was able to identify other smaller correction patterns that guide me on how the market is moving.
3: Entry identification
After you have determined where you are at in the eco cycle, very key is now to identify the next causes of action. You must never trade at the top (buying overpriced assets). Very important is to always note that there will always be more opportunities in the future and never to chase trades that have already gone. The ideal situation is to look for corrections as entry points and buy/sell with them.
Next now will be to look for areas where you can enter on an even lower timeframe.
The chart shows that a correction is happening on a lower timeframe (1hour). Now have an alert at the bottom of the correction also coupled with indicators.
Thats the entry point of the trade.
4: Target setting
The exit target shall be set using the 6 hour chart and will be at the top. A stop loss will be just behind the trendline as shown below. This is very key for risk management.
Now wait for the price to come close to your entry points and good luck. We shall follow this trade to end.
Putting Risk Reward into PerspectiveMost newbies, and even intermediate traders don't really understand what high risk to reward trades require from themselves and from the market. They think it is something to strive for, and that high RR trades are reserved for the pros. This is far from the truth.
In this video I try to give more perspective to this concept.
- R2F
Uncommon Inflation Measures for Analyzing Attitude towards Risk In this analysis we breakdown certain inflation measures that can aid us in capitalizing on longer term trends in various asset classes. The Baltic Dry Index or BDI gives us a real world view of shipping costs. The Index is a measure of the cost to move commodities by the Sea. Therefore, It's a leading indicator for the demand of commodities around the world. The Baltic Dry Index dates back to the mid eighteenth century as the majority of sea trade was done between London and surrounding Baltic states. Each day the price is updated just prior to New York stock exchange open by the 26 largest shipping companies in the world. The Baltic dry index is a pure piece of data because there is no government or central bank manipulation behind it. The BDI can be quite volatile and this is due to the fact that there are a finite number of available transport ships at any given time. If suddenly commodities come into high demand globally .. this means there will be less ships.. and this results in higher prices to ship goods. This signals us that Inflation may be increasing and therefore higher interest rates may result as the economy heats up. A Falling Baltic Dry Index indicates to us a slowdown of demand for commodities and also of the broader world economy.
Next, we observe the GCC or an Exchange Traded Fund that is based upon the Continuous Commodity Index. The Fund intends to provide broad-based exposure to four commodity sectors : Energy, Agriculture, Precious metals, and Industrial Metals. The Baltic Dry Index generally leads commodity prices(and the commodity index) which was a concept we identified in our analysis.
If this was useful or interested you, Please leave a Rocket or comment in support of similar analysis in the future.
General Disclaimer:
The trade ideas presented herein are solely for informational and educational purposes only. The ideas are not to be interpreted as investment recommendations or financial advice. They do not endorse or promote any specific trading strategies, financial products, or services. Trading in financial markets involves risks, including the potential loss of principal. Each individual should conduct their own research and consult with professional financial advisors before making any investment decisions. The author or publisher of this content bears no responsibility for any actions taken based on the information provided or for any resultant financial or other losses.
Options Blueprint Series: Debit Spreads - Precision InvestingIntroduction to Options on Corn Futures
Corn Futures are one of the staple commodities traded on the Chicago Board of Trade (CBOT), representing a critical component of the agricultural sector's financial instruments. Each Corn Futures contract is standardized to 5,000 bushels, and the price is quoted in USD-cents per bushel.
Contract Specifications:
Point Value: 1/4 of one cent (0.0025) per bushel = $12.50.
Margins: Trading on margin allows traders to leverage positions while only needing to cover a fraction of the total contract value. For Corn Futures, the initial margin requirement is set by the CME Group and varies based on market volatility: Currently $1,300 per contract at the time of this publication.
Options trading introduces another layer of complexity and opportunity. Debit spreads involve purchasing one option and selling another, which helps manage the overall cost of entering the market.
Margin for Debit Spreads:
The margin for debit spreads typically reflects the premium paid for the long position minus any premium received from the short position. This results in a significantly lower margin requirement compared to trading the underlying futures contract outright. (In the below example the net premium paid for the spread is 7.26 points = $363, which is significantly lower than $1,300).
Understanding Debit Spreads
Debit spreads are a sophisticated options trading strategy utilized primarily to achieve a targeted investment outcome while managing risk exposure. They are constructed by purchasing an option (call or put) while simultaneously selling another option of the same type (call or put) but with a different strike price, within the same expiration period. The aim is to reduce the net cost of the position, as the premium received from the sold option offsets part of the cost incurred from the bought option.
Mechanics of Debit Spreads:
Long Position: You buy an option that you expect to increase in value as the market moves in your favor.
Short Position: You sell another option with a higher strike (in the case of a call spread) or a lower strike (in the case of a put spread). This option is expected to expire worthless or decrease in value, offsetting the cost of the long position.
Advantages of Using Debit Spreads:
Defined Risk: The maximum loss on a debit spread is limited to the net premium paid plus transaction costs. This makes it easier to manage risk, especially in volatile markets.
Potential for Profit: Although the profit potential is capped at the difference between the strike prices minus the net debit paid, these spreads can still offer attractive returns relative to the risk undertaken.
Lower Cost of Entry: Compared to buying a single option, spreads typically require a lower upfront investment, making them accessible to a wider range of traders.
This strategic application is what we'll explore next in the context of Corn Futures, where market conditions suggest a potential breakout.
Application in Corn Futures
For traders looking to harness the volatility in the agricultural sector, especially in commodities like corn, debit spreads can be a precision tool for structured trading. Given the current trading range of Corn Futures, with prices oscillating between 424 cents and 448 cents per bushel for a number of weeks, a strategic setup can be envisioned aiming for an upward breakout towards 471 cents, a resistance level indicated by Sell UnFilled Orders (UFOs).
Strategy Implementation with Debit Spreads:
Long Call Option: Buying a call option with a strike price near the lower end of the current range (450) positions traders to benefit from potential upward movements. Premium paid is 10.39 ($519.5)
Short Call Option: Simultaneously, selling a call option with a strike price at 475 cents caps the maximum profit but significantly reduces the cost of entering the trade. This strike is chosen because it aligns closely with the expected UFO resistance level, enhancing the probability of the short option expiring worthless. Premium received is 3.13 ($156.5).
The net cost of the spread ($519.5 - $156.5 = $363) represents the total risk. We are using the CME Group Options Calculator in order to generate fair value prices and Greeks for any options on futures contracts.
Setting up the Trade
To potentially capitalize on the anticipated market movement for Corn Futures, our debit spread strategy will involve a detailed setup of options trades based on specific strike prices that align with market expectations and technical analysis. This step-by-step guide will provide clarity on how to effectively enter and manage this options strategy.
Trade Details:
Long Call Option: Buy a call option with a strike price of 450. This option is chosen as it is near the current upper boundary of the trading range, providing a favorable entry point as we anticipate a breakout.
Short Call Option: Sell a call option with a strike price of 475. This strike is selected based on its proximity to the identified resistance level at 471, suggesting a high likelihood that the price may not exceed this level before expiration.
Cost and Profit Analysis:
Net Premium Paid: $363 as discussed above.
Break-even Point: Long strike price (450) plus the net premium paid = 457.26.
Maximum Profit: The maximum profit for this debit spread is capped at the difference between the two strike prices minus the net premium paid = 475 – 450 – 7.26 = 17.74 = $887.
Maximum Loss: The maximum risk is limited to the net premium paid.
Risk Management
By entering a debit spread, traders not only define their maximum risk but also set clear targets for profitability based on established market thresholds. This methodical approach ensures that even if the anticipated price movement does not fully materialize, the financial exposure remains controlled.
Risk Management Techniques:
Position Sizing: Determine the appropriate size of the position based on overall portfolio risk and individual risk tolerance.
Stop-Loss Orders: Although the maximum loss is capped by the nature of the debit spread (the net premium paid), stop-loss orders can be used if the underlying asset moves against the trader.
Rolling the Spread: If market conditions change or the initial price target is reached earlier than expected, consider 'rolling' the spread.
Adjusting the Trade:
If the price of Corn Futures approaches the short strike price (475) faster than anticipated, and market sentiment indicates further upward potential, the short call option can be bought back while a new higher strike call can be sold. This adjustment aims to extend the profitable range of the spread without increasing the original risk by much.
Conversely, if the price seems unlikely to reach the 450 mark, reassess the viability of keeping the spread open. It may be prudent to close the position early to preserve capital if fundamental market factors have shifted negatively.
Importance of Continuous Monitoring:
Regularly monitor market conditions, including factors like weather reports, agricultural policies, and economic indicators that significantly impact corn prices.
Stay updated with technical analysis charts and adjust strategies according to new resistance and support levels identified.
Effective risk management not only protects from downside risk but also enhances the potential for profitability by adapting to changing market conditions.
Conclusion
The strategic use of debit spreads in Corn Futures options trading offers a balanced approach to leverage market opportunities while maintaining strict control over potential risks.
Recap of Key Points:
Corn Options on Futures: Understanding the contract specifics is crucial for informed trading decisions.
Debit Spreads: These allow traders to benefit from expected price movements with reduced upfront costs and limited risk.
Trade Setup: Focused on a potential breakout from the 448-424 range aiming towards 471, utilizing 450 and 475 strikes for the long and short calls respectively.
Risk Management: Emphasizes the importance of position sizing, potential use of stop-loss orders, and the flexibility to adjust or roll the spread according to market changes.
When charting futures, the data provided could be delayed. Traders working with the ticker symbols discussed in this idea may prefer to use CME Group real-time data plan on TradingView: www.tradingview.com This consideration is particularly important for shorter-term traders, whereas it may be less critical for those focused on longer-term trading strategies.
General Disclaimer:
The trade ideas presented herein are solely for illustrative purposes forming a part of a case study intended to demonstrate key principles in risk management within the context of the specific market scenarios discussed. These ideas are not to be interpreted as investment recommendations or financial advice. They do not endorse or promote any specific trading strategies, financial products, or services. The information provided is based on data believed to be reliable; however, its accuracy or completeness cannot be guaranteed. Trading in financial markets involves risks, including the potential loss of principal. Each individual should conduct their own research and consult with professional financial advisors before making any investment decisions. The author or publisher of this content bears no responsibility for any actions taken based on the information provided or for any resultant financial or other losses.
The ultimate guide on Elliott waves in crypto tradingMost of you have probably heard about Elliott waves and we are sure that you don’t use it in cryptocurrency trading strategy because it’s very complicated and subjective approach. Crypto trading for beginners is very challenging and stressful even without Elliott waves. To be honest when we first time tried to implement it to my crypto trading strategies it was a complete disappointment. We were sure that it does not suit for both trading bot and manual trades. Elliott waves were thrown into a garbage bin for almost two years and we developed our crypto trading algorithm using only linear programming approaches.
While we have been trying to invent the best automated trading bot using only indicators and support and resistance levels, best crypto traders have been successfully using Elliott waves in their analysis. Finally we make a decision to have a deep dive in this popular crypto trading tool and studied in details all available literature. As a result we found that Elliott waves will ruin your trading if you use it without special indicators for confirmation. Now we have 2 years of experience in trading with waves and almost one year ago we implemented them into our algorithmic trading bot. Today we prepared the best ultimate guide ever on Elliott waves using best practices and our unique experience how to use them in developing your own profitable crypto trading strategies. Let’s go!
Why it’s vital to use Elliott waves?
Before answer this question, let me ask another one! Why is important to use map to reach the final destination? I think here is the obvious answer! Talking about Elliott waves it’s almost the same reason. This is the only one approach which gives you a map for a price chart. I think you agree that technical indicators or support and resistance levels will not give you the answer which direction the price will choose. When you have, for example Stochastic Oscillator crossover or RSI oversold area hit you just open long because this is the most common strategy. You buy asset like a blind kitten. We are not criticize this approach, because using proper risk and money management you will earn with almost every strategy, but understanding the Elliott waves concept will dramatically increase your profit even if you combine them with your ordinary strategy. Why it’s happening? The answer is easy, because Elliott waves in the underlying structure of the market. You will be aware when you shall use your signals and when it’s better to skip trade. Now let’s dive into the Elliott waves to understand how to find them on the price chart. In the first part we will give you all needed theory and after that we will show in the real charts how it works.
Elliott waves
In general, Elliott waves concept is pretty easy. All markets are globally moving up with the five waves formations and then show the pullback with at the reactive waves. On the Bitcoin price chart above you can see the most common picture for Elliott waves. We had the bull run which consists of five waves and then was the bear market represented with the ABC correction.
Waves can be divided into two groups: impulsive and reactive. On the bullish phase waves 1, 3 and 5 are impulsive, 2 and 4 reactive. Impulsive waves consists also with five sub waves, while reactive have usually three waves (exception the triangle correction, will be covered later). On the bearish phase we have the opposite situation: waves A and C are impulsive, while wave B is reactive. Now let’s discuss each wave in details.
What will stop every wave in 90% of cases?
Before we will observe the wave it’s very important to understand what are the early signs that current wave is about to be finished. This is really crucial concept because without it almost impossible to use Elliott waves for profitable trading. We need four tools to make sure that our counting is correct. In this article we will not spend to much time for these indicators, we just show you in practice how to use them. These tools are: Awesome Oscillator, Market Facilitation Index (MFI), Fibonacci retracement and extension and Fractals. These four indicators produce five wave’s end conditions.
Divergence with Awesome Oscillator. If you found five sub waves inside any wave and you can see that price set the higher high (or lower low for bearish case), while AO set lower high (or higher low) it’s divergence between wave 3 and 5. This is the most powerful signal that trend is over.
Fractal at the top or bottom. When you see the divergence it’s just the first sign of trend weakness, we need confirmation with the fractal forming at the top or bottom. You can easily find this indicator in TradingView, it will show you all fractals.
MFI squat bar. We will cover MFI in one of the next educational articles, now you just need to know that it has squat state - the last battle between bulls and bears. One of the three top bars will be the squat in 80% of waves end. You can also find this indicator in TradingView.
AO momentum change. Another one confirmation that trend is over is when AO histogram changes color. It’s better to wait three consecutive columns of the other color or when AO will cross back the signal line, 5 period MA of the AO.
Target area. Using Fibonacci extension and retracement we can find the area where the reversal is the most likely. We will show you this targets when talking about waves.
Now you know the five basic rules and we are ready to discuss every wave using this concept.
Wave 1
When the previous trend is over the impulsive wave 1 begins. We can define the wave 1 start only establishing the previous wave end. It could be wave 5, C or E. It does not matter. You just need to apply our five rules: divergence, momentum change, target area, squat bar and fractal. On the chart you can see how in theory wave 1 can be looks like.
Wave 1 always consists of five waves. That’s why we can wait for the same five rules to complete between wave 3 and 5 inside the wave 1. When you anticipate the wave 1 finish you have two options: close trade and re-enter at the wave 2 bottom or hold for the entire cycle.
Wave 2
When wave 1 ends, you will see pull back in wave 2. It’s important to catch wave 2 bottom because wave 3 will bring you a lot of profit. Wave 2 can be classical ABC zigzag, flat or irregular correction. 70% probability it will be ended inside 0.38 and 0.62 Fibonacci retracement range of wave 1, in rare cases it can ends higher or lower. That’s why it’s better t count waves inside wave 2 and do not miss when all five trend killing conditions are met in wave C inside 2.
Wave 3
The most impulsive wave in the entire cycle is obligatory for trading. Here you can have the less risky and the most easy trading. Wave 3 has the great fundamental factors as a price drivers. For example, Bitcoin spot ETF triggered a huge pump recently. Let’s imagine you correctly entered at the wave 2 end. Now we have to define wave 3 targets. The target area using fibonacci extension can be found between 1 and 1.61. This is the most likely case. In crypto it’s very often when waves 3 are extended.
To have the most precise target it’s highly recommended to count waves inside wave 3. Found five waves? Check our favorite trend killing rules to exit a trade at the top. We know it sounds fantastic, but we managed to buy the exact bottom and sell at the top many times, but to be honest, we have never caught the top of the extended wave 3. Need more experience for that.
Wave 4
Wave 4 can be the most complicated because it has a lot of different variants: zigzag, flat, irregular or even triangle. But at the same time in wave 4 we can have the easiest setup. When you predicted wave 3 top, it’s time to setup the target for the wave 4. The most reliable one is between 0.38 and 0.5. This wave is not so rapid as wave 2 and takes much more time (up to 70% of all cycle).
The very important tip here is to look at the price where wave 4 inside wave 3 has been ended. If this level coincides with the 0.38-0.5 zone it can give you much more confidence. We have never made a mistake using this technique. As usual you have to look for the five trend killing rules in wave C inside wave 4 as well.
Another one thing we want to point out. You know the axiom, that wave 4 has not overlap wave 1 top. This rule can be slightly violated and we will show you the case. Don’t pay attention that much to this rule.
Wave 5
Finally we are in wave 5. This is really vital to define it’s top because bear market will follow this wave and can destroy your deposits. The target area for the wave 5 is defined as the distance between wave 1 bottom and wave 3 top, measured from wave 4 bottom. Area between 0.61 of this distance and 1 Fibonacci level is our target. There you have to find trend killing rules as usual but this time for all cycle, not subwaves.
Corrections
The most dangerous place for trading is the correction. From our experience only wave C in zigzag is tradable. You would better to skip corrections and try to catch it’s end. We have four types of corrections, but the most important knowledges is that wave C and E are always consists of five waves. It means you can use the rules how to catch wave 5 end inside these waves.
Zigzag ABC. If wave A consists of 5 waves the most like we will see zigzag. Wait when wave B reach 0.5-0.61 Fibonacci of wave A and be ready to trade in wave C.
Flat. Wave A has 5 waves inside. Waves A, B and C are almost equal to each other.
Irregular. Wave B top is higher that the previous impulsive wave. Wave A consists of 3 waves.
Triangle. Consists of A, B, C, D and E waves. Wave E consists of five waves. Usually occurs inside waves 4 and B of higher degree.
Now you have a theoretical description. It’s time to trade!
Trading Diverging Chart PatternsContinuing our discussion on trading chart patterns, this is our next tutorial after Trading Converging Chart Patterns
This tutorial is based on our earlier articles on pattern identification and classification.
Algorithmic Identification of Chart Patterns
Flag and Pennant Chart Patterns
In this tutorial, we concentrate on diverging patterns and how to define rules to trade them systematically. The diverging patterns discussed in this tutorial are:
Rising Wedge (Diverging Type)
Falling Wedge (Diverging Type)
Diverging Triangle
Rising Triangle (Diverging Type)
Falling Triangle (Diverging Type)
🎲 Historical Bias and General Perception
Before we look into our method of systematic trading of patterns, let's have a glance at the general bias of trading diverging patterns.
🟡 The Dynamics of Diverging Wedge Patterns
Diverging Wedge patterns are typically indicative of the Elliott Wave Structure's diagonal waves, potentially marking the ending diagonal waves. That means that the patterns may signal the ending of a long term trend.
Hence, the diverging rising wedge is considered as bearish, whereas the diverging falling wedge is considered as bullish when it falls under Wave 5 of an impulse or Wave C of a zigzag or flat.
For an in-depth exploration, refer to our detailed analysis in Decoding Wedge Patterns
Both rising wedge and falling wedge of expanding type offers lower risk reward (High risk and low reward) in short term as the expanding nature of the pattern will lead to wider stop loss.
🎯 Rising Wedge (Expanding Type)
Expanding Rising Wedge pattern is historically viewed with bearish bias.
🎯 Falling Wedge (Expanding Type)
Expanding Falling Wedge pattern is historically viewed with bullish bias.
🟡 The Dynamics of Diverging Triangle Patterns
Diverging pattern in general means increased volatility. Increased volatility during the strong trends also mean reducing confidence that may signal reversal.
🎲 Alternate Approach towards trading diverging patterns
Lack of back testing data combined with subjectivity in Elliott wave interpretation and pattern interpretation makes it difficult to rely on the traditional approach. The alternative method involves treating all expanding patterns equally and define a systematic trading approach. This involves.
When the pattern is formed, define a breakout zone. One side of the breakout zone will act as breakout point and the other side will act as reversal point.
Depending on the breakout or reversal, trade direction is identified. Define the rules for entry, stop, target and invalidation range for both directions. This can be based on specific fib ratio based on pattern size.
Backtest and Forward test the strategy and collect data with respect to win ratio, risk reward and profit factor to understand the profitability of patterns and the methodology.
Breaking it down further.
🟡 Defining The Pattern Trade Conditions
Base can be calculated in the following ways.
Distance between max and min points of the pattern. (Vertical size of the pattern)
Last zigzag swing of the pattern (This is generally the largest zigzag swing of the pattern due to its expanding nature)
This Base is used for calculation of other criteria.
🎯 Breakout Zone - Entry Points
Breakout zone can be calculated based on the following.
Long Entry (top) = Last Pivot + Base * (Entry Ratio)
Short Entry (bottom) = Last Pivot - Base * (Entry Ratio)
If the direction of the last zigzag swing is downwards, then top will form the reversal confirmation and bottom will form the breakout confirmation. Similarly, if the direction of the last zigzag swing is upwards, then top will become the breakout confirmation point and bottom will act as reversal confirmation point.
🎯 Stops
Long entry can act as stop for short and vice versa. However, we can also apply different rule for calculation of stop - this includes using different fib ratio for stop calculation in the reverse direction.
Example.
Long Stop = Last Pivot - Base * (Stop Ratio)
Short Stop = Last Pivot + Base * (Entry Ratio)
🎯 Invalidation
Invalidation price is a level where the trade direction for a particular pattern needs to be ignored or invalidated. Invalidation price can be calculated based on specific fib ratios. It is recommended to use wider invalidation range. This is to protect ignoring the potential trades due to volatility.
Long Invalidation Price = Last Pivot - Base * (Invalidation Ratio)
Short Invalidation Price = Last Pivot + Base * (Invalidation Ratio)
🎯 Targets
Targets can either be set based on fib ratios, as explained for other parameters. However, the better way to set targets is based on expected risk reward.
Target Price = Entry + (Entry-Stop) X Risk Reward
🟡 Back Test and Forward Test and Measure the Profit Factor
It is important to perform sufficient testing to understand the profitability of the strategy before using them on the live trades. Use multiple timeframes and symbols to perform a series of back tests and forward tests, and collect as much data as possible on the historical outcomes of the strategy.
Profit Factor of the strategy can be calculated by using a simple formula
Profit Factor = (Wins/Losses) X Risk Reward
🟡 Use Filters and Different Combinations
Filters will help us in filtering out noise and trade only the selective patterns. The filters can include a simple logic such as trade long only if price is above 200 SMA and trade short only if price is below 200 SMA. Or it can be as complex as looking into the divergence signals or other complex variables.
How Does Recession Affect Financial Markets?How Does Recession Affect Financial Markets?
Recessions, marked by widespread economic decline, profoundly impact financial markets. Understanding how different markets – stock, forex, commodity, and bond – respond to these downturns is crucial for traders and investors. This article delves into the varied effects of recessions, highlighting strategies for navigating these challenging times and identifying potential opportunities for resilience and growth in the face of economic adversity.
Understanding Recessions
A recession is a significant decline in economic activity spread across the economy, lasting more than a few months, typically visible in real GDP, real income, employment, industrial production, and wholesale retail sales. Economic experts often cite two consecutive quarters of GDP contraction as a technical indicator of a recession. However, it's more than just numbers; it reflects a noticeable slump in economic activities and consumer confidence.
Historically, recessions have been triggered by various factors, such as sudden economic shocks, financial crises, or bursting asset bubbles. For instance, the Global Financial Crisis of 2007-2008 stemmed from the collapse of the housing market bubble in the United States, leading to a worldwide economic downturn.
Recession impacts nearly every corner of the economy, leading to increased unemployment, reduced consumer spending, and overall economic stagnation.
Effects of Recession on Different Financial Markets
A recession's impact on financial markets is multifaceted, influencing everything from stocks and bonds to forex and commodities. However, each market reacts differently. To see how these various asset classes have reacted in past recessions, head over to FXOpen’s free TickTrader platform to access real-time market charts.
General Impact on Markets
During a recession, the financial landscape typically undergoes significant changes. Investors, wary of uncertainty, often reassess their risk tolerance, leading to shifts in asset allocation. Market volatility usually spikes as news and economic indicators sway investor sentiment. This period is often marked by cautious trading and a search for safer investment havens.
Impact on Stock Markets
Stock market performance in a recession can be quite varied. Generally, stock markets are among the first to react to signs of a recession. Prices may fall as investors anticipate lower earnings and weaker economic growth. This decline is not uniform across all sectors, however.
Some industries, like technology or luxury goods, might experience steeper drops due to reduced consumer spending. Conversely, sectors like utilities or consumer staples often include stocks that do well during a recession, as they provide essential services that remain in demand.
Impact on Forex Markets
In forex, recessions often lead to significant currency fluctuations. Investors might flock to so-called safe currencies like the US dollar or Swiss franc, while currencies from countries heavily affected by the recession weaken. Central bank policies, such as interest rate cuts or quantitative easing, play a crucial role in currency valuation during these times.
Impact on Commodities
Commodities can react differently in a recession. While demand for industrial commodities like oil or steel may decline due to reduced industrial activity, precious metals like gold often see increased interest as so-called safe-haven assets.
Impact on Bonds
Bond markets usually experience a surge in demand during recessions, particularly government bonds, seen as low-risk investments. As investors seek stability, bond prices typically rise, and yields fall, reflecting the increased demand and decreased risk appetite.
Types of Stocks That Perform Well During a Recession
During economic downturns, certain stock categories have historically outperformed others. The stocks that go up in a recession generally belong to sectors that provide essential services or goods that remain in demand regardless of the economic climate.
Consumer Staples: Companies in this sector, offering essential products like food, beverages, and household items, may appreciate during a recession. As these are necessities, demand usually remains stable even when discretionary spending declines.
Healthcare: Healthcare stocks often hold steady or grow during recessions. The demand for medical services and products is less sensitive to economic fluctuations, making this sector a potential safe haven for investors.
Utilities: Utility companies typically offer stable dividends and consistent demand. Regardless of economic conditions, consumers need water, gas, and electricity, providing these stocks with a buffer against recessionary pressures.
Discount Retailers: Retailers that offer essential goods at lower prices can see an uptick in business as consumers become more budget-conscious during tough economic times.
Types of Stocks to Hold in a Recession
While there are some stocks that perform well in a recession due to sustained demand for their products, there are other types of stocks that are valued for their financial resilience and potential to provide long-term stability.
Blue-Chip Stocks: These are shares of large, well-established companies known for their financial stability and strong track records. During recessions, their history of enduring tough economic times and providing dividends makes them attractive.
Value Stocks: Stocks that are undervalued compared to their intrinsic worth can be good picks. They often have strong fundamentals and are priced below their perceived true value, with the potential to rebound strongly as the economy recovers.
Non-Cyclical Stocks: These stocks are in industries whose services or products are always needed, like waste management or funeral services. Their demand doesn’t fluctuate significantly with the economy, which may offer stability.
The Role of Government and Central Banks During Recessions
During recessions, governments and central banks play a crucial role in stabilising financial markets.
Government interventions often include fiscal policies like increased spending and tax cuts to stimulate the economy. Central banks may reduce interest rates or implement quantitative easing to increase liquidity in the financial system.
These actions can bolster investor confidence, stabilise markets, and encourage lending and spending. However, their effectiveness can vary based on the recession's severity and the timeliness of the response.
The Bottom Line
Navigating recessions requires understanding their multifaceted impact on financial markets. From stocks and bonds to forex and commodities, each sector reacts uniquely, offering both challenges and opportunities.
To take advantage of the various opportunities a recession presents, opening an FXOpen account can be a strategic step. We provide access to a broad range of markets and trading tools designed to help traders adapt to a shifting economic landscape.
This article represents the opinion of the Companies operating under the FXOpen brand only. It is not to be construed as an offer, solicitation, or recommendation with respect to products and services provided by the Companies operating under the FXOpen brand, nor is it to be considered financial advice.
How To Grow A Forex or Crypto Acc Scalping A 5m Time FrameIn this video, we delve into a high-probability scalping strategy, building upon the concepts introduced in our previous videos on developing a trading plan and risk management. This third installment in the series focuses on refining entry points for high-probability trades. We explore a basic trend continuation strategy on the 4-hour time frame, then zoom in on the 5-minute time frame to identify specific price action that provides a precise entry point. Our approach involves identifying when price action begins to trade sideways, forming a range on the 5m time frame, and waiting for signs of volatility, where price takes out stop losses above or below the range. Once this occurs, the trend typically sets up on the lower time frame, allowing us to enter our trade on the 5-minute chart. We always place stops above or below the previous high, targeting the previous price swing. Please note that this video is for educational purposes only and should not be construed as financial advice.
The profitability of TA trading rules in the Bitcoin market█ The profitability of technical trading rules in the Bitcoin market
The Bitcoin market, known for its wild fluctuations, poses a unique challenge for traders: Is it possible to consistently profit using technical trading rules?
Recent research analyzing Bitcoin's price data from July 2010 to January 2019 has shed light on this question, focusing on the effectiveness of seven trend-following indicators.
The research was conducted by Gerritsen et al. Notably, the trading range breakout rule emerged as a promising strategy, often outperforming the traditional buy-and-hold approach.
█ Some Background into the Bitcoin Market
Bitcoin's price path suggests market inefficiency, likely due to its short history and the erratic behaviors of market participants. Previous studies on Bitcoin's efficiency mainly focused on its predictability from a random walk perspective, leaving the performance of technical trading rules on Bitcoin prices largely unexplored.
The core aim of this study is to examine the profitability of technical trading rules, specifically to determine if these rules can surpass a basic buy-and-hold strategy.
By applying seven well-documented trading rules and analyzing their performance through the Sharpe ratio, the study seeks to provide practical insights for Bitcoin traders.
█ Methodology
The study uses daily price data from July 17, 2010, to December 31, 2018, totaling 3,084 daily observations. Gerritsen and team removed a brief period in 2011 due to a Mt. Gox hack and integrated data from Coinmarketcap starting April 28, 2013. The research also considers the risk-free rate, using 3-month US Treasury bill returns for its analysis.
█ Trading Rules Analyzed
1. Moving Averages (MA): This strategy issues buy signals when the recent price or its short-term average exceeds a longer-term average and sell signals in the opposite scenario. It tested combinations like 1-day vs. 50-day, 2-day vs 150-day, and 5-day vs 200-day averages.
2. Trading Range Breakout (TRB): It looks for price breakouts beyond the highest and lowest prices of a predefined period (50, 150, 200 days), signaling buys for breakouts above the high and sells below the low.
3. Moving Average Convergence Divergence (MACD): The MACD rule uses two exponential moving averages (EMAs), and triggers buy signals when the MACD line (the difference between a 12-day and a 26-day EMA) is above zero, and sell signals when it is below zero. It also examines the MACD signal line and MACD histogram as additional signals.
4. Rate of Change (ROC): This rule compares the current price with the price n days ago (commonly 10 days) to determine market momentum and issue buy/sell signals. The rule suggests buying when the ROC is positive, indicating upward momentum, and selling when it is negative, indicating downward momentum.
5. On-Balance-Volume (OBV): This volume-based indicator predicts price movements based on volume flow, asserting that volume changes precede price changes. The study applied MA rules to the OBV to generate signals, buying when the short-term MA of OBV crosses the long-term MA from below, and selling when it crosses from above.
6. Relative Strength Index (RSI): A momentum oscillator that identifies overbought or oversold conditions, suggesting buy signals when below 30 and sell signals above 70.
7. Bollinger Bands (BB): This strategy uses a moving average with upper and lower bands based on standard deviations from the MA, issuing buy signals when the price touches the lower band and sell signals at the upper band.
█ Strategies and Evaluation
The study applied each trading rule in three distinct strategies:
Literal Interpretation: Buying or selling Bitcoin directly based on the signal, including short positions.
Long Positions Only: Considering only buy signals due to the practical challenges of shorting Bitcoin on many exchanges.
Default Long Position with Adjustment on Signals: Maintaining a default long position, doubling investment on buy signals, and moving to risk-free assets on sell signals.
The performance of these strategies was evaluated using the Sharpe ratio, comparing the excess returns of the trading strategies over the risk-free rate to their volatility. A higher Sharpe ratio indicates a more efficient risk-adjusted return. The study used bootstrapping to assess the statistical significance of the Sharpe ratio differences between each trading rule strategy and a benchmark buy-and-hold strategy.
█ Key Findings
The study finds mixed results across different technical trading strategies when applied to Bitcoin.
Notably, the trading range breakout (TRB) rule consistently offers higher Sharpe ratios than a buy-and-hold strategy, signifying its superior performance.
On average, TRB strategies yield a Sharpe ratio of around 0.08, marking them as statistically significant against the buy-and-hold benchmark. This rule's success is further highlighted in specific periods, such as 2011–2012, 2013–2014, and 2017–2018, where its Sharpe ratios were notably higher than those of the buy-and-hold approach. The significant outperformance in these periods underscores the TRB rule's adaptability to market dynamics.
While most other technical trading rules did not consistently outperform the buy-and-hold strategy, certain strategies like MACD showed significant outperformance in specific applications (Strategy 2), illustrating the nuanced effectiveness of technical trading rules in the Bitcoin market.
Counter-trend indicators, such as the Relative Strength Index and Bollinger Bands, generally underperformed compared to the buy-and-hold benchmark, sometimes yielding negative Sharpe ratios.
█ Sensitivity to Market Conditions
The effectiveness of the TRB strategy, in particular, seems to be highly dependent on the prevailing market conditions. During periods of strong trends (either bull or bear markets), the TRB rule demonstrated notable outperformance.
However, during more stable periods, like 2015–2016, the TRB rule and most other trading rules did not show a significant advantage over the buy-and-hold strategy, aligning with the adaptive market hypothesis suggesting that the performance of trading strategies is contingent upon environmental factors.
█ Limitations and Future Research
One notable limitation is the focus solely on Bitcoin, leaving the question of whether these findings can be generalized to other cryptocurrencies.
Additionally, the analysis does not account for transaction costs, potentially affecting the trading strategies' profitability. Future research is encouraged to extend the investigation to other leading cryptocurrencies and to consider the impact of transaction costs on the profitability of the trading range breakout rule and other technical trading strategies.
█ Reference
Gerritsen, D.F., et al. (xxxx). The profitability of technical trading rules in the Bitcoin market. Finance Research Letters, xxx(x), xxx-xxx.
-----------------
Disclaimer
This is an educational study for entertainment purposes only.
The information in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell securities. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on evaluating their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Assessing Market sentiment using the Vix and Dxy 📑Hello Traders and welcome back to another Video analysis. We break down the relationship amongst different asset classes when gauging market sentiment. In particular, how to analyze market direction on the Nasdaq 100 by looking at the Volatility and Dollar Indexes. We combine this sentiment analysis with candlesticks, and how they leave clues for us when anticipating market direction.
If you aren't familar, the Dollar Index represents the strength or weakness of the USD against a basket of 4 currencies. The Euro, Yen, Aud, and the Gbp. The US dollar is the safe haven of the world and when it increases in value, this represents risk off sentiment as investors and market particpants look to preserve the value of thier monies. On the other hand, the Nasdaq is a stock index, and therefore represents an asset class where investors are looking to grow their capital. In theory, they should be inversely correlated and generally are, thereby giving us clues when anticipating market movements in one another. In this example, we look at how we can use the (DXY) dollar index when anticipating market movements in the Nasdaq 100 stock index.
The Vix or Volatility Index represents the options market for the S&P500 stocks. When the Vix goes up this equates to investors and market participants buying puts and anticipating future downside for the S&P 500 stock index. When the Vix goes down, this represents anticipated upside in the U.S. stock indexes by investors and market particpants buying calls in the options market.
Please a Rocket or comment in support of similar analysis in the future
Portfolio Beta Hedging Ahead of Super Seven EarningsYou cannot predict the future. But you can prepare for it. Mega cap tech stocks have collectively lost USD 930 billion in value since Nasdaq 100 peaked on 21st March 2024. Will Super Sevens earnings turn the tide?
Starting this week, the Super Sevens will start announcing first quarter results. NASDAQ:TSLA is up first on 23/Apr (Tue) followed by NASDAQ:META on 24/Apr (Wed) with NASDAQ:GOOGL and NASDAQ:MSFT on 25/Apr (Thu).
NASDAQ:AAPL reports on 2/May followed by NASDAQ:NVDA on 22/May.
Broad US equity markets are facing multiple headwinds. Rate cut hopes are fading. Geopolitics are turning for the worse with tensions escalating in the middle east. Investor sentiments are gloomy. Consequently, both S&P 500 and Nasdaq 100 have endured their worst week in a long time.
Investors are pinning hopes on AI-infused tech earnings to stem the downdraft and to turn the tide. Bloomberg reports that Super Seven earnings are forecast to rise 38% during Q1 2024 compared to a year ago. If true, those earnings would dwarf the overall S&P 500’s meagre +2.4% forecasted YoY earnings growth.
This paper is set in two parts. Part 1 summarises idiosyncratic factors affecting each of the Super Sevens. Second part of the paper illustrates beta hedging using index options to help portfolio managers defend against downside risk while retaining upside potential.
ARTIFICIAL INTELLIGENCE. EXCITEMENT TO EXHAUSTION?
AI hype remains palpable. But monetising AI is hard. That is becoming increasingly clear. Even among the Super Sevens, not everyone has cracked the AI monetisation formula.
Investors are starting to moderate AI linked expectations. They need a clear path to profits from AI initiatives. Investor scepticism is showing up even among Super Sevens.
NASDAQ:NVDA has been selling shovels to AI gold miners. Expectedly, their earnings and consequently their stock prices are up sharply. Its share prices are up 54% YTD leaving the rest in dust. NASDAQ:META is up 36%, compared +10% for NASDAQ:GOOGL and +6% for $NASDAQ:MSFT.
NASDAQ:AAPL and NASDAQ:TSLA are increasingly losing shine. NASDAQ:TSLA (down a colossal 41%) risks being booted out of the Super Seven grouping.
“Investors are expecting not just strong results — but strong guidance,” said Quincy Krosby, chief global strategist at LPL Financial. “Any disappointment from the mega-tech names reporting could push this week’s oversold market deeper into oversold territory” as reported by Bloomberg.
NASDAQ:AMZN is expected to deliver modest EPS growth.
Analysts remain strongly bullish with 60 of 63 analysts giving a Strong Buy or Buy rating.
Source: TradingView
NASDAQ:GOOGL is facing justified scepticism by investors about its AI capabilities after multiple missteps. AI powered search engines potentially threatens Google’s dominance.
Despite the headwinds, analysts remain bullish on NASDAQ:GOOGL with average 12-month price target offering an 8% upside.
Source: TradingView
Falling smartphone market share, slowdown in innovations, nothing to show for in AI, lacklustre demand for Vision Pro, closure of Apple Car project, Anti-trust fines and more. Adverse news is hammering NASDAQ:AAPL share prices non-stop.
While overall analyst rating remains bullish, the number of hold and sell calls are rising fast for NASDAQ:AAPL .
Source: TradingView
Bloomberg reports that NASDAQ:META is expected to show revenue growth of 26% this quarter and almost double the net earnings from a year ago.
Analysts remain very bullish on NASDAQ:META with an average 12-month price target of USD 540.90 a share.
Source: TradingView
NASDAQ:MSFT is expected to benefit from AI. It has cleverly implemented Copilot AI into its product suite. Last quarter, demand for AI fuelled growth in its Azure cloud-services business.
Analysts remain constructively bullish on NASDAQ:MSFT with 54 out of 57 analysts holding a Strong Buy or Buy rating on the stock.
Source: TradingView
NASDAQ:NVDA will be the most watched quarterly earnings yet again. Its stock is priced to perfection. Feeble earnings or guidance could send its share prices into a free fall.
Fifty-three of Sixty analysts have either a Strong Buy or a Buy rating on NASDAQ:NVDA with average 30% upside over next 12-months.
Source: TradingView
EV market contraction. Price wars from Chinese EV makers. Deep discounts. All these are heavily weighing down on NASDAQ:TSLA shares.
Not unexpectedly, analysts remain neutral on NASDAQ:TSLA .
Source: TradingView
ILLUSTRATING BETA HEDGING USING INDEX OPTIONS
Super Seven earnings are critical to US equities given their outsized impact due to substantial index weightings. Valuations remain lofty. Despite the recent selloff, these mega caps trade at an aggregate thirty-one times forward earnings.
Earnings can and does have enormous impact on share prices. When valuations are priced to perfection, even a hint of negative news will plummet stock prices down.
Astute portfolio managers defend their portfolio using beta hedging. Beta hedge requires that notional of the hedging trade is equivalent to the beta-adjusted notional value of single stocks.
Illustration of the beta hedge below assumes that a portfolio manager holds thirty shares in each of the Super Sevens.
TradingView publishes trailing twelve month beta values for each firm which is the stock’s sensitivity to the S&P 500 index.
In the lead up to results, implied volatility on shares expands rapidly. While hedging using equity put options is an alternative, but it is an expensive one.
A portfolio manager can cleverly deploy short-dated equity index options to minimise hedging costs. CME offers Micro E-Mini S&P 500 Options (“Micro S&P500 Options”) with each contract providing a notional coverage of USD 5 times the S&P 500 index which translates to USD 25,000 per lot based on current S&P 500 levels of 4,967.23.
Using Micro S&P500 put options expiring on 25th April 2024 at a strike of 4950, a portfolio manager incurs a premium of USD 105 per lot based on close of market prices on 19th April 2024. It requires approximately 4 lots (USD 25,000 per lot times 4 lots = USD 100,000) notional of put options to hedge the above beta adjusted portfolio of USD 107,153.
Source: CME
Table below illustrates hedging pay-off under different price action scenarios during quarterly earnings:
Long Options delivers financial convexity. Options allow portfolio managers to harvest asymmetric gains. It provides protection when markets plunge and allows portfolio managers to capture gains from rising markets.
MARKET DATA
CME Real-time Market Data helps identify trading set-ups and express market views better. If you have futures in your trading portfolio, you can check out on CME Group data plans available that suit your trading needs www.tradingview.com
DISCLAIMER
This case study is for educational purposes only and does not constitute investment recommendations or advice. Nor are they used to promote any specific products, or services.
Trading or investment ideas cited here are for illustration only, as an integral part of a case study to demonstrate the fundamental concepts in risk management or trading under the market scenarios being discussed. Please read the FULL DISCLAIMER the link to which is provided in our profile description.