The Mechanics Of Trading - Part IPart I
I started this video because a friend asked me for help determining trends on multi-interval (time frames) and asked how I look at trading across multiple intervals. Asking how to best setup/use price trends to capture the best trade setups.
Essentially, it comes down to three key components...
A. Initial reversal/impulse waves should be traded lightly (if at all). They are the "potential price reversal setups" that are usually the most dangerous for traders (and often fairly short in length).
B. Looking for the second wave to form provides traders with the opportunity to catch the bigger Wave-3. This wave forms after the impulse (Wave-1) and a corrective wave (Wave-2), which must stay below any previous ultimate high or above any previous ultimate low.
C. Wave-3, and Wave-5 if applicable, are where traders can flex their muscles related to trade size using the techniques I present to try to capture the MEAT (Sweet Spot) of any trend.
Remember, after Wave-3, you must prepare for the potential end of a trend setup where volatility is likely to increase and risks become a bit more elevated.
I go over multiple techniques in this video.
Fibonacci techniques and Fibonacci Price Theory
Anchor Bars (breakaway bars)
Using Fibonacci Retracements to identify key support/resistance levels for trending
Stochastics
RSI
Wave formations (ZigZag)
and Others
This video is designed as an instructional video to help you incorporate usable techniques into your own trading style.
Hope you enjoy.
Relative Strength Index (RSI)
RSI as a Trend ToolMost people use the RSI as a momentum indicator,
trying to find Overbought/Oversold (OBOS) conditions,
and/or divergences.
However there is also a way to use it as a Trend Tool.
There is a mathematical relationship that connects the RSI and EMA's.
The formula is RSI(x) cross-over 50-line = Close cross-over EMA(2x)
i.e. RSI(14) cross-over 50 line = Close cross-over EMA(28)
This one of the properties of the RSI,
which I discovered when taking a more indept look into momentum indicators,
which ultimately led to the discovery of the MACD-v in 2014/2015
The MACD-v was then publicly disclosed in 2022,
in the form of a a paper called
"MACD-v: Volatility Normalised Momentum",
which was awarded:
It has won 2 International Awards:
1. The “Founders Award” (2022),
for advances in Active Investment Management
from the National Association of Active Investment Managars (NAAIM)
2. The “Charles H. Dow Award” (2022)
for outstanding research in Technical Analysis,
from the Chartered Market Technicians Association (CMTA)
Trading Nasdaq Futures: Correlation Insights & Market StrategiesIntroduction
The realm of futures trading offers a spectrum of opportunities, and at the forefront of this dynamic market are the E-mini Nasdaq Futures. Designed to track the Nasdaq 100 index, these futures contracts have become a favorite among traders who focus on technology and growth-oriented companies. The Nasdaq 100, dominated by technology giants, serves as a barometer for the broader tech sector and offers insights into the health of the US economy.
Basic Product Specifications
Point Value: Each point of the E-mini Nasdaq Futures is worth $20.00, making them an accessible yet potent instrument for both individual and institutional traders.
Trading Hours: Reflecting the global nature of the financial markets, these futures trade nearly 24 hours a day, from Sunday evening to Friday afternoon (US times), ensuring that traders across time zones can participate in market movements.
Current Margin Requirements: As of the latest update, the initial margin requirement for one E-mini Nasdaq Futures contract is approximately $9,000, subject to change based on market volatility. The maintenance margin is slightly lower, ensuring traders have some leeway in managing their positions.
Micro E-mini contracts available: 10x smaller than the E-minis.
Market Context and Economic Events
In the ever-evolving landscape of global finance, several macroeconomic events cast a significant impact on the futures market. For traders of E-mini Nasdaq Futures, staying abreast of these events is crucial. Key among them is the Federal Open Market Committee (FOMC) meeting, a regular event that can sway market sentiments and cause significant price movements. The announcements regarding interest rates and economic outlook made during these meetings are pivotal in shaping market trends.
Similarly, the release of labor market reports, including unemployment rates and job creation numbers, provides critical insights into the economic health of the country. These reports can trigger volatility in the E-mini Nasdaq Futures, presenting both risks and opportunities for traders. Understanding and anticipating the potential market reactions to these events is an integral part of a successful trading strategy.
Correlation Analysis and Trading Opportunities
A cornerstone of strategic futures trading lies in understanding the relationships between different financial instruments. Our recent analysis highlights the intriguing correlation dynamics of E-mini Nasdaq Futures with other key markets. While E-mini Nasdaq Futures often move in tandem with major indices like the Mini Dow Jones and E-mini S&P 500, they occasionally exhibit negative correlations with markets such as Gold, Euro Futures, Bitcoin, and Light Crude Oil.
Insights from Correlation Analysis:
Gold: Traditionally viewed as a safe haven, Gold often moves inversely to risk assets like Nasdaq Futures. In periods of market uncertainty or economic downturns, investors might flock to Gold, driving its prices up, while tech-heavy indices like Nasdaq could see a decline.
Euro and Bitcoin Futures: The relationship between Euro/Bitcoin Futures and Nasdaq Futures is nuanced, often influenced by broader economic policies and shifts in global trade dynamics and or monetary policy affecting the US Dollar.
Light Crude Oil: Fluctuations in oil prices can have a multifaceted impact on stock markets, including the Nasdaq. Rising oil prices, signaling higher energy costs, can negatively affect the performance of tech companies, leading to an inverse relationship.
Strategic Trading Approaches : Identifying bearish setups in Gold, Euro Futures, Bitcoin, and Light Crude Oil can be a precursor to bullish opportunities in E-mini Nasdaq Futures. For instance, a downturn in Gold amid rising economic optimism can signal an opportune moment to go long on Nasdaq Futures. Similarly, bearish trends in Euro/Bitcoin Futures and Light Crude Oil, perhaps due to geopolitical tensions or shifts in global demand, can also point towards potential gains in the Nasdaq market.
The below chart, where various correlations have been computed by aggregating daily data since 2018, shows a negative correlation between Euro Futures and Nasdaq Futures. Such inverse correlation will be used in the following section as a key element to plan on a long Nasdaq Futures trade.
Technical Analysis: Decoding Market Trends
Technical analysis forms the backbone of trading strategy formulation, especially in the volatile world of futures trading. For E-mini Nasdaq Futures, two key technical indicators – the Moving Average Convergence Divergence (MACD) and the Relative Strength Index (RSI) – provide valuable insights into market momentum and potential trend reversals.
Moving Average Convergence Divergence (MACD):
The MACD is a trend-following momentum indicator that shows the relationship between two moving averages of a security's price. It consists of the MACD line (the difference between the 12-day and 26-day exponential moving averages), the signal line (a 9-day EMA of the MACD line), and the histogram (which illustrates the distance between the MACD line and the signal line).
Having both MACD lines above the zero line can be seen as bullish as it could be interpreted as an up-trending market and could indicate a potential upward price momentum, signaling traders to consider a long position. Conversely, having both MACD lines below the zero line might suggest a selling or shorting opportunity.
Relative Strength Index (RSI):
RSI is a momentum oscillator that measures the speed and change of price movements, oscillating between zero and 100. Typically, an RSI above 70 indicates a security is overbought, while an RSI below 30 suggests it is oversold.
For traders of E-mini Nasdaq Futures, an RSI reading near 70 could warn of a potential market pullback, suggesting a cautious approach or a potential short position. An RSI near 30, however, might indicate an upcoming price rise, presenting a buying opportunity.
Practical Application : Incorporating these indicators into the analysis of E-mini Nasdaq Futures allows traders to make more informed decisions. By monitoring the MACD lines and RSI levels, traders can gauge the market's pulse, identifying key entry and exit points that align with their risk-reward parameters.
Trade Rationale :
The Nasdaq Futures daily timeframe presents us with an up-trend (based on MACD), but caution may be advisable for long traders since RSI values are near 70. Given the fact that UFOs (UnFilled Orders) are available below price, patient traders may be interested in waiting for a retracement into such lower prices before planning on a buy opportunity.
Such trade may receive “extra” help from the negatively correlated Euro Futures contract which recently switched from an up-trend to a down-trending environment as seen above.
Trade Plan: Strategic Execution
Developing a well-thought-out trade plan is essential for capitalizing on the opportunities presented by E-mini Nasdaq Futures. Given the insights from our correlation and technical analysis, here’s a strategic approach for trading:
1. Identifying Entry Points:
Utilizing bearish setups in negatively correlated markets (Euro Futures) as indicators for potential bullish momentum in E-mini Nasdaq Futures.
While both MACD lines remain above the zero line and RSI readings remain below 70, look for potential bullish price reactions between 17076.50 and 16316.00, which is where our technical analysis suggests Buy UnFilled Orders (UFOs) may be available.
2. Setting Target Prices:
Determining realistic target prices based on historical price movements and resistance levels observed in the Nasdaq Futures market.
Since the Nasdaq Futures is in a position to potentially start making new all-times high prices, a target could be set using a Fibonacci projection pointing at 18527.00.
3. Establishing Stop-Loss Levels:
Placing stop-loss orders to minimize potential losses. These should be set at levels where the initial trade hypothesis is invalidated, such as below 16316.00, which is where UnFilled Orders would be proven to not to be available.
4. Calculating Reward-to-Risk Ratio:
Ensuring that the potential reward justifies the risk taken. A healthy reward-to-risk ratio, such as 2:1 or higher, is typically desirable.
5. Point Values and Contract Specifications:
For E-mini Nasdaq Futures, understanding that each point movement represents a $20 change per contract. This knowledge is crucial in calculating potential profits and losses.
Considering Micro contract options for traders with smaller account sizes or those seeking to manage risk more conservatively. The point value would be $2 in such case.
Practical Considerations : In implementing this trade plan, continuous market monitoring and readiness to adjust strategies in response to changing market conditions are paramount. The plan aims to maximize profits while strictly managing risks, aligning with individual trading styles and risk tolerances.
Risk Management: Safeguarding Investments
Effective risk management is the cornerstone of successful trading, particularly in the dynamic environment of E-mini Nasdaq Futures. Implementing robust risk management strategies not only protects investments but also enhances trading performance.
1. Utilizing Stop-Loss Orders:
Stop-loss orders are essential in limiting potential losses. They should be set at levels where the initial trade hypothesis is invalidated.
These orders help in managing trades without emotional biases, ensuring decisions are based on pre-set risk parameters.
2. Hedging Techniques:
Hedging strategies, such as using options or diversifying with inversely correlated assets, can provide a safety net against adverse market movements.
For instance, while correlations are not a guarantee, holding positions in Gold or WTI Crude Oil Futures could serve as a hedge against a downturn in the E-mini Nasdaq Futures.
3. Avoiding Undefined Risk Exposure:
It is crucial to avoid situations where the potential loss is unknown or unlimited. This can be achieved by using defined-risk strategies and avoiding high-leverage positions that can amplify losses.
Traders should be aware of the leverage inherent in futures contracts and adjust their position sizes accordingly.
4. Adapting to Market Conditions:
A flexible approach to risk management is key. This involves regularly reviewing and adjusting stop-loss levels and hedging positions in response to changing market dynamics.
Staying informed about economic events and market trends is vital in making timely adjustments to risk management strategies, including a potential for a trade to be invalidated and cancelled altogether.
Conclusion
In the intricate tapestry of financial markets, trading E-mini Nasdaq Futures presents both challenges and opportunities. This article has navigated through the complex correlations between Nasdaq Futures and other key financial instruments, uncovering strategies to capitalize on these relationships. The integration of technical analysis, focusing on MACD and RSI indicators, further enriches the trader's arsenal, providing a deeper understanding of market trends and potential entry and exit points.
As we've explored, the negative correlations with markets such as Gold Futures, Euro Futures, or WTI Crude Oil, can signal opportune moments to go long on Nasdaq Futures. Conversely, these markets can offer hedging opportunities against potential downturns in Nasdaq. The strategic execution of trades, underpinned by solid risk management practices, forms the bedrock of successful trading in this dynamic environment.
In conclusion, trading E-mini Nasdaq Futures demands a multifaceted approach, blending correlation insights, technical analysis, and stringent risk management. By staying informed, adaptable, and disciplined, traders can navigate the ebb and flow of the Nasdaq Futures market with increased confidence and potential for success.
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.
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.
MA my understanding
I know that the topic of moving averages has been fairly explained in crypto and other trading markets, and every trader has a good knowledge, and usage cases for them, but here I will share my own view of the moving averages, and how I use them for trading without relying on technical or educational sources by any means.
Starting with a recap on the main idea of moving averages, the moving part of the name indicates a change in the final results based on time period specified by the trader such as 5,10,15,21,31,50,100,150, 200, you name it, for the last x candles to consider while calculating the average of their cumulative x price divided by their number.
things you need to consider when using the moving average include:
1. Its an old and well known method to analyze price action
2. Many traders use it as a part of their trading strategy
3. It removes the noise from the price, and helps to identify trends sometimes
4. Traders rely on predefined moving averages lengths such as 21,30,50,100,150, and 200 so using these fixed values for your moving averages gives you better analysis of the market
now for the usage cases that work for me with MA:
1. Showing support and resistance
for new coins, I rely on the moving average to predict support and resistance
since new coins form new supports and new resistances alone the way, indicators cannot work, and identifying levels is almost impossible, thus many traders will rely on the sole usage of MA for their support and resistance.
2. Identifying trend change
some trends can be clearly seen or predicted by using MA crosses, such as the famous golden cross of the 50 and 200 MA, and smaller crosses including 21 crossing 50 to identify an uptrend, or vice versa.
3. Eliminating FOMO
if the price suddenly fluctuates up, and the moving average is still moving smoothly on the same level, jumping in the market will be considered pure FOMO. The moving average can support sudden jumping in prices by showing an increase overtime, while sudden jump in the price with a moving average moving horizontally indicates that price could fall fast since no preparation of the market is found.
Indicators are really helpful when relying on MA in TA, so here I will share indicators I use when considering MAs:
1. Cryptonite's EMA Field
I really on this indicator a lot since it provides the ability to use 9 different EMAs, customize their colors, see their crossing on chart, and receive alerts of crossing.
2. RSI oscillator by TradingView
RSI is surely a different topic, but using RSI with MA of the RSI to show bullish and bearish movements is extremely helpful when trading.
3. Volume oscillator by TradingView
this indicator shows the volume of the coin, which is also not our topic, but using the volume with its MA helps finding resistance points in the chart, and predicting where the price could possibly reach before starting a reversal.
Hope you all benefit from the explanation I provided, and always remember, never quite trading even if you are left with only $1, as there is always a brighter future in the market.
How RSI Alerts Can Supercharge Your Long-Term Crypto PortfolioBuilding a long-term portfolio demands a strategic approach that goes beyond random buys and impulsive decisions.
Instead, savvy investors employ tools like the Relative Strength Index (RSI) to identify advantageous entry points and navigate the market cycles effectively.
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Here’s a step-by-step guide on how to harness RSI alerts to fortify your long-term crypto holdings.
Step 1: Spotting Entry Opportunities with RSI < 35
When aiming for long-term crypto accumulation, the goal is to buy assets at opportune prices. Setting up your charts with the RSI indicator and adjusting the lower band to 35 enables you to pinpoint instances where cryptocurrencies in your portfolio might have experienced an unwarranted dip. This can be a golden opportunity to acquire assets for the long run, aligning with the principle of buying low.
Step 2: Steering Clear of Overbought Zones with RSI > 70
Conversely, an RSI reading surpassing 70 signals potential overbought conditions. In such instances, it's prudent to exercise caution. Holding off on new purchases during these periods or even considering exiting certain positions that have seen significant price surges allows you to safeguard your returns. Converting gains into stablecoins during overbought phases enhances liquidity, positioning you strategically for future opportunities.
Step 3: Confirm with Other Indicators & DYOR
RSI functions most effectively when complemented by other indicators. Incorporating tools like Moving Averages, Bollinger Bands, and MACD provides a more comprehensive view of market conditions. Remember, thorough research is crucial. Rely on multiple indicators to reinforce your decision-making process and mitigate risks associated with single-point analyses.
Step 4: Get Timely RSI Alerts On Your Email & TradingView App
Time is of the essence in the volatile crypto market. Instead of constantly monitoring prices across various platforms, set up RSI alerts on TradingView to receive timely notifications. This ensures you don’t miss critical market movements and can respond promptly to favorable conditions or potential risks.
How to Create RSI Alerts on TradingView
Open TradingView: Log in to your TradingView account.
Select the Chart: Open the chart of the cryptocurrency you're monitoring.
Add RSI Indicator: Click on "Indicators" at the top, search for RSI "Relative Strength Index", and add it to your chart.
Set RSI Levels: Adjust RSI levels by clicking on the RSI label on the chart, then edit the Upper and Lower Band levels to your preferred values (e.g., 35 for Lower Band, 70 for Upper Band).
Create Alert: Click on the alarm bell icon at the top of the chart, then select "Add Alert." Choose the condition (crossing above/below RSI level), set the desired RSI level, and customize the notification settings.
Save Alert: Confirm and save your alert. You’ll now receive notifications via email or within the TradingView platform when the specified RSI conditions are met.
Effectively utilizing RSI alerts is a game-changer for long-term crypto investors. By intelligently identifying entry points, avoiding overbought conditions, confirming signals with other indicators, and staying informed with timely alerts, you position yourself for success in the dynamic world of cryptocurrencies. Enhance your portfolio strategy with RSI – a tool that brings precision and efficiency to your crypto investment journey.
Interpreting RSI (Relative Strength Index)The Relative Strength Index (RSI) is a momentum indicator that measures the speed and magnitude of price movements. It is a versatile tool that can be used to identify overbought and oversold conditions, as well as divergences and trend strength.
Overbought and Oversold Conditions
The RSI oscillates between 0 and 100. Traditionally, the RSI is considered overbought when above 70 and oversold when below 30. These levels are not set in stone, and they can vary depending on the security and the market conditions. However, they are a good starting point for identifying potential buying and selling opportunities.
Overbought:
An RSI reading above 70 indicates that the security is overbought, which means that it has been trading up rapidly and may be due for a correction. However, it is important to note that the RSI can stay in overbought territory for an extended period of time before a correction occurs.
Overbought RSI indicator
ETHUSD(Day Chart)
As you can see in the chart, when the RSI indicator hit the 70 level, the price started dropping continuously.
Oversold:
An RSI reading below 30 indicates that the security is oversold, which means that it has been trading down rapidly and may be due for a bounce. However, like with overbought conditions, the RSI can stay in oversold territory for an extended period of time before a bounce occurs.
Oversold RSI indicator
BTCUSD (weekly Chart)
As you can see in the chart, when the RSI indicator hit the 30 level, the price started bouncing from the bottom level.
The RSI indicator has accurately predicted the bottoms of Bitcoin's major bear markets in 2015, 2018, and 2022.
Stay tuned for more updates on this topic.
Regards
Hexa
Tips on Adjusting the RSI (Part 2) Although the standard setting for the RSI is 70 (overbought) and 30 (oversold), I prefer to adjust the levels to 80 and 20. The purpose of this is to identify the extremely overbought/oversold regions.
In addition to adjusting the levels, I would pay attention to the chart when the RSI enters in the overbought/oversold region (but would hold back on entering a trade)
I would only enter a trade when the RSI turns down/up from the overbought/oversold region.
This would signal that the price is likely to fall/rise as the RSI reverses from the extremes and back within range.
Learning to use the RSI (Part 1)The Relative Strength Index (RSI) is a popular momentum oscillator used in technical analysis to identify overbought or oversold conditions in the market. The RSI is measured on a scale from 0 to 100,
RSI values above 70 are often considered overbought, suggesting that the price may be due for a reversal or pullback.
RSI values below 30 are often considered oversold, indicating that the price may be due for a bounce or recovery.
A common mistake most traders will make is to assume that once RSI signals an overbought/oversold condition, the price should drop/rise, hence leading to a sell/buy decision.
In the 2 examples highlighted (solid blue lines), you will notice that although RSI signaled an overbought/oversold condition, the price continued to climb/drop despite being overbought/oversold.
Remember: Prices can be overbought/oversold for an extended period of time
When using any indicator, always remind yourself of what it is measuring and remember that it is just math (not magic). The indicator is supposed to help quantify and help you see things clearer on the chart (rather than numbers).
Check out Part 2 for Tips on Adjusting the RSI
Simple Introduction to RSI for Crypto TradingCrypto trading can be a rollercoaster ride, with prices jumping up and down. To help you make smarter trading choices, many traders turn to technical tools like the Relative Strength Index (RSI). In this article, we'll break down what RSI is, how it works, and how you can use it as a crypto trader, even if you're not a finance expert.
What is RSI?
RSI stands for Relative Strength Index, but you don't need to worry too much about the fancy name. It's just a tool that helps you figure out if a cryptocurrency is overbought or oversold. Think of it like a traffic light for crypto prices, telling you when to slow down or speed up.
How Does RSI Work?
RSI works by looking at recent price changes and comparing how much a cryptocurrency has gone up versus how much it's gone down. This gives you a number between 0 and 100, which you can use to make better decisions about buying or selling.
Here's the simple way RSI is calculated:
First, you pick a specific number of days to look at, usually 14 days. This is called the "period."
Next, you figure out how much the price went up and down during those 14 days.
Then, you calculate the Relative Strength (RS) by dividing the average gain by the average loss.
Finally, you use that RS to find the RSI with a simple formula.
Interpreting RSI
Once you have your RSI number, it's time to understand what it's telling you:
RSI above 70: It's like a red light, indicating the crypto might be overpriced and due for a drop. This could be a good time to sell or take some profits.
RSI below 30: It's like a green light, suggesting the crypto might be a bargain and due for a rise. This could be a good time to buy or hold on to what you have.
RSI between 30 and 70: It's like a yellow light, showing that things are neither too hot nor too cold. It means the market is in a neutral state, and you might want to use other tools to make your decision.
Using RSI in Crypto Trading
Here are some practical tips for using RSI in your crypto trading:
Double-Check with Other Tools: RSI works best when you use it together with other tools and analysis methods. Don't rely solely on it.
Look for Divergence: Keep an eye out for times when RSI disagrees with the price. If RSI is showing one thing and the price is doing something else, it could signal a change in the market.
Adjust Your Settings: You can tweak the RSI settings to match the crypto you're trading. Shorter periods (like 7 days) react faster, while longer ones (like 21 days) give smoother signals.
Manage Risks: Always be careful and use good risk management. RSI can help, but it's not a crystal ball. Set stop-loss orders and make wise decisions about how much you're willing to risk.
Conclusion
The Relative Strength Index (RSI) is like a helpful traffic light for crypto traders. By understanding its basics and using it alongside other tools, you can make better decisions in the world of crypto trading. Just remember that RSI is a part of your toolkit, not the whole strategy. Use it wisely and keep learning to become a more successful crypto trader.
Cheers!
GreenCrypto
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A combination of Stochastic and RSI indicatorsHello?
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(Strength indicator)
The strength indicator will also be explained gradually.
Today, I would like to talk about how to interpret the indicators consisting of the Stochastic indicator and the RSI indicator.
It is set as below.
1. RSI indicator
ta.ema(rsi, 14)
For the setting value of the RSI indicator, we used the most frequently used value of 14.
2. Stochastic indicators
ta.sma(ta.stoch(close, high, low, 20), 12)
As the setting values of the stochastic indicator, as shown in the above formula, the setting values of 20 and 12 were used.
An important way to interpret
1. Stoch > RSI: likely to show an uptrend
2. Stoch < RSI: likely to show a downtrend
but,
1. If the Stoch indicator rises below 30, it is likely to show an uptrend.
2. If the Stoch indicator falls above 70, it is likely to show a downtrend
thus,
1. When Stoch > RSI, start split buying.
2. When Stoch < RSI, start split selling.
In that sense, I used the fill function to make it appear orange (#ff9800) when it is rising, and blue (#00bcd4) when it is falling.
It's best to understand the detailed information about all the indicators and use them, but be careful because if you study too deeply, your thoughts can become trapped in them.
Therefore, unless you are going to create a new indicator by directly utilizing the formula, it is recommended to understand and use only the core interpretation method of the indicator.
Since the stochastic indicator is an indicator of the price position within a certain period of time, it is recommended to use a set value suitable for your investment period, as it can indicate different results depending on how you set the set value.
As I said above, I used the settings of 20, 12.
The RSI indicator is an indicator of strength.
Therefore, when the price enters the overbought zone, the uptrend is at its highest, so once it exits the overbought zone, the likelihood of a downtrend increases.
Conversely, when the price enters the oversold zone, the downtrend is at its highest, so once it exits the oversold zone, it is likely to show an uptrend.
Therefore, it is not recommended to react in advance by thinking that price volatility will inevitably occur when a stock enters an overbought or oversold zone.
The key to the RSI indicator is to respond when it enters the oversold zone and exits the oversold zone, and when it enters the overbought zone and exits the overbought zone.
This is because if a full-fledged uptrend has begun, the RSI indicator may remain in the overbought zone.
Therefore, it is not a good idea to judge the situation based on all indicators alone.
The above is not a big deal, but I think it is a combination of indicators that makes it very intuitive to know whether or not the chart you are looking at is a chart you can start trading with.
We will go into more detail when we discuss how to find support and resistance points for that indicator.
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** All descriptions are for reference only and do not guarantee profit or loss in investment.
** Even if you know other people's know-how, it takes a considerable period of time to make it your own.
** This is a chart created with my know-how.
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Enhance Your Trading Strategy with MACD and RSI ConvergenceIntroduction:
Welcome, fellow traders! Today, I'm excited to present a step-by-step tutorial on how to enhance your trading strategy using a combination of two powerful technical indicators: Moving Average Convergence Divergence (MACD) and Relative Strength Index (RSI) .
Section 1: Understanding MACD and RSI - Exploring the Components
MACD:
The MACD consists of three components:
MACD line : Represents the difference between two moving averages, typically the 12-day and 26-day exponential moving averages.
Signal line : A 9-day exponential moving average of the MACD line.
Histogram : Displays the difference between the MACD line and the signal line, providing visual cues about the momentum of the price movement.
RSI:
The RSI is an oscillator that measures the strength and speed of price movements on a scale from 0 to 100.
Readings above 70 indicate overbought conditions, suggesting a potential price reversal.
Readings below 30 indicate oversold conditions, suggesting a potential price bounce.
Divergence between price and RSI can be a signal of a trend reversal.
Section 2: The Idea Behind the Strategy - Combining MACD and RSI
By aligning the signals of MACD and RSI , we aim to increase the reliability of our trading decisions.
When both indicators provide signals in the same direction, it enhances the probability of a successful trade.
The convergence of MACD and RSI helps filter out false signals and focus on high-probability trade setups.
Section 3: Implementing the Strategy - Identifying Bullish and Bearish Signals
Look for a bullish crossover:
MACD line crossing above the signal line , indicating upward momentum.
Confirm the bullish signal: Ensure the RSI reading is above a specific threshold, such as 50, indicating strength in the upward move.
Consider additional confirming indicators, such as positive divergence or breakouts from key resistance levels.
Identifying Bearish Signals:
Identify a bearish crossover:
MACD line crossing below the signal line , indicating downward momentum.
Confirm the bearish signal: Ensure the RSI reading is below a specific threshold, such as 50, indicating weakness in the downward move.
Consider additional confirming indicators, such as negative divergence or breakdowns from key support levels.
Section 4: Backtesting and Refinement - Improving Performance and Accuracy
The Importance of Backtesting:
Gather historical price data for the desired trading instrument and timeframe.
Apply the MACD and RSI convergence strategy to the historical data.
Analyze the performance of the strategy, considering factors such as win rate, average gain/loss, and maximum drawdown.
Adjust the threshold levels, timeframe, or other parameters to improve the strategy's performance.
Refining the Strategy:
Consider incorporating additional technical indicators, such as trend lines, Fibonacci levels, or volume analysis, to further confirm trade signals.
Evaluate the strategy's performance across different timeframes and trading instruments to identify its strengths and weaknesses.
Continuously monitor and adapt the strategy to changing market conditions and refine it based on your trading style and preferences.
Section 5: Risk Management and Trade Execution
Effective Risk Management:
Determine appropriate position sizes based on your risk tolerance and account balance.
Set stop-loss orders to limit potential losses if the trade goes against you.
Establish profit targets to secure gains and exit the trade when the desired level is reached.
Regularly review and adjust risk management parameters as needed.
Conclusion:
Congratulations! You've completed the tutorial on leveraging MACD and RSI convergence to enhance your trading strategy. By combining these powerful indicators, you now have a valuable tool in your trading arsenal. Remember to practice in a demo environment (aka. Paper Trading) before applying the strategy with real funds, and always adapt it to the evolving market conditions.
Feel free to share your progress, ask questions, and discuss your experiences in the comments section. Let's learn from each other and continue refining this strategy together. Best of luck on your trading journey!
Note: Trading involves risks, and this tutorial is for educational purposes only. Always conduct your own research, seek professional advice, and practice responsible risk management.
Introducing the Trendicator (by Stock Justice)In this comprehensive tutorial, we dive deep into the world of the Trendicator, a powerful and innovative trading tool made by @StockJustice that enables traders to identify trends, spot reversals, detect bullish and bearish divergences, and perform multi-timeframe analysis. We delve into the inner workings of this never-before-seen indicator, demystifying its complex algorithms and showing you how to harness its full potential. From understanding the unique features of the Trendicator such as its compression stages, divergences, and MACD crossovers, to learning how to pair it with a Displaced Aggregated Moving Average (DACD) for enhanced precision, we cover it all in a fun and engaging manner.
The tutorial is not just about explaining the Trendicator's functionalities, but it also provides practical tips and strategies for using it in real-world trading scenarios. We discuss how the Trendicator can help traders spot the onset of a trend, gauge its strength, and pinpoint potential reversal points. Additionally, we explain how traders can utilize the bullish and bearish divergences identified by the Trendicator to anticipate market turns and make informed trading decisions.
Lastly, we emphasize the importance of multi-timeframe analysis in trading and demonstrate how the Trendicator can facilitate this process. By interpreting the Trendicator's signals across different timeframes, traders can gain a more comprehensive view of the market and make more accurate predictions. This tutorial is a must-watch for any trader aspiring to level up their technical analysis skills and trade more confidently and effectively. So, get ready to embark on an exciting journey of learning and discovery with the Trendicator!
Introducing the Dynamic Fusion OscillatorHello, it's Stock Justice here! In our latest video, we delve into the world of the Dynamic Fusion Oscillator (DFO) - a tool that blends the power of the Relative Strength Index and the Stochastic Oscillator. I walk you through how it works, from understanding these two base components to how we fuse them to create a balanced and sensitive tool for identifying market trends and reversals.
We dive deep into how the DFO uses moving averages to signal potential bullish or bearish trends, and how divergence within the DFO can indicate trend reversals or continuations. I also touch on the DFO's capacity for multi-timeframe analysis, giving you the bigger picture of market trends.
Wrapping up, I remind you of the DFO's value as a versatile trading tool, but also emphasize the importance of using it alongside proper risk management and other technical analysis components. All in all, this video is a must-watch for traders aiming to enrich their toolkit and navigate the market more effectively!
QQETSBB Screener: A Powerful Tool for Monitoring Multiple SymbolQQETSBB Screener: A Powerful Tool for Monitoring Multiple Symbols
Introduction
In the world of trading, having the ability to monitor multiple symbols simultaneously is crucial for making informed decisions. The QQETSBB Screener is a powerful tool that allows traders to keep track of various symbols at once, providing essential information regarding price, volatility, and sentiment. In this blog post, we will explore the strategy implemented by the QQETSBB Screener and explain the table.
Strategy
The QQETSBB Screener uses a combination of mathematical calculations and technical indicators to generate a comprehensive analysis of multiple symbols. It utilizes the following indicators: QQE, SMA, EMA, WMA, RSI, MACD, Stochastic, CCI, MFI, and others. By combining these various indicators, the screener provides a sentiment score and a directional score for each symbol, allowing traders to quickly assess the market conditions for a specific asset.
In-Depth Exploration of the QQETSBB Screener Strategy
The QQETSBB Screener strategy is designed to provide traders with a comprehensive understanding of various symbols at once. This is achieved through a combination of mathematical calculations and technical indicators, which are applied to each symbol being monitored. In this section, we will delve deeper into the strategy, exploring the individual components that contribute to its effectiveness.
1. QQE (Quantitative Qualitative Estimation): The QQE is a volatility-based indicator that measures the difference between the price and a moving average. It is considered a leading indicator, as it can provide early signals of potential price movements. The QQE is used as the primary moving average in the QQETSBB Screener when selected by the user.
2. SMA (Simple Moving Average): The SMA is a widely used technical indicator that calculates the average price of a security over a specified period. It is used to smooth out price fluctuations and identify trends. The QQETSBB Screener incorporates the SMA as an alternative moving average option for users.
3. EMA (Exponential Moving Average): Similar to the SMA, the EMA is a type of moving average that places greater weight on more recent data points. This allows it to react more quickly to recent price movements. The EMA is another alternative moving average option available in the QQETSBB Screener.
4. WMA (Weighted Moving Average): The WMA is another type of moving average that places more emphasis on recent price data. It assigns weights to each data point, which decrease linearly as the data points get older. The WMA is the final alternative moving average option in the QQETSBB Screener.
The QQETSBB Screener strategy utilizes a combination of these moving averages, along with other popular technical indicators, to generate a sentiment score and a directional score for each symbol. These scores provide valuable insights into the overall market conditions for each asset, allowing traders to make informed decisions.
The additional technical indicators used in the QQETSBB Screener strategy include:
5. RSI (Relative Strength Index): The RSI is a momentum oscillator that measures the speed and change of price movements. It is used to identify overbought or oversold conditions in a market. The RSI is incorporated into the sentiment score calculation in the QQETSBB Screener.
6. MACD (Moving Average Convergence Divergence): The MACD is a trend-following indicator that shows the relationship between two moving averages of a security's price. It is used to identify potential trend reversals and is incorporated into the sentiment score calculation in the QQETSBB Screener.
7. Stochastic: The Stochastic is a momentum indicator that compares a security's closing price to its price range over a specific period. It is used to identify potential trend reversals and is also incorporated into the sentiment score calculation in the QQETSBB Screener.
8. CCI (Commodity Channel Index): The CCI is a versatile indicator that measures the difference between a security's price change and its average price change. It is used to identify potential trend reversals and is included in the sentiment score calculation in the QQETSBB Screener.
9. MFI (Money Flow Index): The MFI is a momentum indicator that combines price and volume data to measure the strength of money flowing in and out of a security. It is used to identify potential trend reversals and is incorporated into the sentiment score calculation in the QQETSBB Screener.
10. Haiken Ashi: The Haiken Ashi is a charting technique that uses modified candlestick data to identify trends more easily. The QQETSBB Screener uses the Haiken Ashi method to calculate the overall trend of the symbol, contributing to the sentiment score.
By combining these various indicators, the QQETSBB Screener strategy provides traders with a comprehensive understanding of each symbol's current market conditions. The sentiment and directional scores generated by the screener allow traders to quickly assess the potential opportunities and risks associated with each asset, making it an invaluable tool for enhancing trading strategies and decision-making processes.
Table Explanation
The QQETSBB Screener displays information in a table format, which is divided into several columns:
1. Symbol: Displays the symbol for each asset being monitored.
2. Price: Displays the current price of each asset.
3. Band Spread: Represents the volatility range as a percentage. A larger band spread indicates higher volatility in the asset's price.
4. Segment Spread: Represents 1/4th of the volatility range as a percentage. This helps to identify the specific segment of the volatility range that the asset's price is currently in.
5. Level: Indicates the quarter of the band the price is currently at. This ranges from 0 to 5, with 0 being the lowest and 5 being the highest.
6. Sentiment: Provides a score based on a combination of popular indicators such as RSI, MACD, Stochastic, CCI, MFI, and others. A higher score indicates a more overbought condition, while a lower score indicates an oversold condition.
7. Direction: Displays the direction in which the asset's price is moving, using arrows to indicate an upward (↑), downward (↓), or sideways (→) trend.
Conclusion
In conclusion, the QQETSBB Screener strategy is a powerful and versatile tool that offers traders a comprehensive overview of multiple symbols simultaneously. Its combination of mathematical calculations and technical indicators provides valuable insights into price, volatility, sentiment, and direction, enabling traders to make informed decisions and stay ahead of the market. Whether you are a beginner or a seasoned trader, the QQETSBB Screener can help you navigate the complex world of trading and maximize your potential for success.
What is the True Range Osc?Introducing the True Range Oscillator: A Smoother and More Accurate Alternative to RSI
Introduction:
Technical analysis plays a crucial role in the decision-making process of traders and investors. One of the most popular technical indicators is the Relative Strength Index (RSI), which measures the speed and change of price movements. However, the RSI has some limitations, such as losing signal strength when increasing the lookback period. This article introduces the True Range Oscillator, a new technical indicator that provides a smoother and more accurate alternative to the RSI, even when increasing the lookback period.
True Range Oscillator: An Overview
The True Range Oscillator is designed to be a more accurate and smoother alternative to the RSI. It is based on the concept of True Range, which considers the high, low, open, and close prices of an asset. By incorporating the True Range into its calculation, the True Range Oscillator can maintain signal strength even when the lookback period is increased.
The main advantage of using the True Range Oscillator is that it can provide more accurate and smoother signals compared to the RSI. When set to a lookback period of 14, the True Range Oscillator is similar to the RSI, but with a smoother curve. As the lookback period is increased, the True Range Oscillator maintains its signal strength and accuracy, unlike the RSI, which tends to lose its signal strength.
Mathematical Explanation:
The True Range Oscillator is calculated using the following steps:
1. Calculate the True Range: True Range is calculated as the average of the following values: (High - Low), (High - Close), and (Low - Close). This provides a more accurate representation of the price movements compared to the RSI, which only considers the close prices.
2. Calculate the Average True Range (ATR): The ATR is calculated using an exponential moving average (EMA) of the True Range values over the specified lookback period.
3. Calculate the Z-Score: The Z-Score is calculated as (Close Price - EMA of Close Prices) / ATR. This standardizes the price movements, making it easier to compare them across different timeframes.
4. Apply Smoothing: The Z-Score is smoothed using a simple moving average (SMA) with the specified smoothing period.
5. Calculate the Min-Max: The Min-Max function is used to normalize the smoothed Z-Score to a range of 0 to 100. This is done by subtracting the minimum value from the Z-Score and dividing it by the difference between the maximum and minimum values.
Normalized Price Oscillators:
Normalized price oscillators are a class of technical indicators that measure the strength or weakness of a financial instrument's price movement by normalizing its price data. This normalization typically involves converting the price information into a more standardized format, such as a percentage or an index, which makes it easier to compare and analyze price movements across different timeframes and financial instruments.
Normalized price oscillators are particularly useful for identifying overbought and oversold market conditions, as well as potential trend reversals. By analyzing and comparing the normalized price data, traders can make more informed decisions and better understand the underlying market dynamics.
True Range Oscillator and RSI as Normalized Price Oscillators:
Both the True Range Oscillator and the Relative Strength Index (RSI) are normalized price oscillators. They convert the raw price data into a standardized format, making it easier to analyze and compare price movements.
In the case of the RSI, the price data is normalized using the Relative Strength (RS) calculation, which results in an index value ranging from 0 to 100. This index value provides a clear indication of the overall strength or weakness of the price movement and helps traders identify overbought or oversold market conditions.
The True Range Oscillator, on the other hand, is normalized through the Min-Max function, which also results in an index value ranging from 0 to 100. This normalization process takes into account the high, low, open, and close prices, providing a more comprehensive and accurate representation of the price movements.
Why the True Range Oscillator is a Good Normalized Price Oscillator:
The True Range Oscillator stands out as a superior normalized price oscillator for several reasons:
1. Comprehensive Price Data: By incorporating the high, low, open, and close prices, the True Range Oscillator provides a more accurate representation of the price movements, leading to better decision-making.
2. Maintaining Signal Strength: The True Range Oscillator maintains its signal strength and accuracy even when the lookback period is increased, making it a more reliable tool for longer-term analysis.
3. Smoother Indicator: The True Range Oscillator produces a smoother curve compared to the RSI, making it easier to identify trends and reversals, and reducing the noise created by price fluctuations.
4. Minimizing False Signals: The True Range Oscillator can better filter out false signals caused by sudden price movements, thanks to its incorporation of the True Range into its calculation.
5. Customizable Outlier Level: The True Range Oscillator allows users to set a customizable outlier level, which helps to further filter out extreme price movements and reduce false signals.
To better understand the advantages of the True Range Oscillator, it is essential to delve into the history and workings of its predecessor, the Relative Strength Index (RSI).
History of RSI:
The Relative Strength Index (RSI) was developed by J. Welles Wilder Jr. and introduced in his 1978 book, "New Concepts in Technical Trading Systems." The indicator quickly gained popularity among traders and investors due to its simplicity and effectiveness in identifying overbought and oversold market conditions. The RSI is a momentum oscillator that measures the speed and change of price movements by comparing the magnitude of recent gains to recent losses.
How RSI Works:
The RSI is calculated using the following steps:
1. Calculate the average gains and losses over a specified lookback period, typically 14 days.
2. Calculate the Relative Strength (RS) as the ratio of the average gains to the average losses.
3. Normalize the RS to a range of 0 to 100 using the formula: RSI = 100 - (100 / (1 + RS))
Despite its popularity and widespread use, the RSI has some limitations that the True Range Oscillator aims to address.
Why the True Range Oscillator is Better:
1. Comprehensive Price Data: While the RSI only considers the closing prices, the True Range Oscillator takes into account the high, low, open, and close prices. This provides a more accurate representation of the price movements and helps to prevent false signals caused by sudden price fluctuations.
2. Maintaining Signal Strength: A significant drawback of the RSI is its loss of signal strength when the lookback period is increased. In contrast, the True Range Oscillator maintains its signal strength and accuracy even with an extended lookback period. This makes it a more reliable tool for longer-term analysis.
3. Smoother Indicator: The True Range Oscillator produces a smoother curve compared to the RSI, making it easier to identify trends and reversals. This can help traders make more informed decisions by reducing the noise created by price fluctuations.
4. Minimizing False Signals: By incorporating the True Range into its calculation, the True Range Oscillator can better filter out false signals caused by sudden price movements. This can help traders avoid making hasty decisions based on misleading signals.
5. Customizable Outlier Level: The True Range Oscillator allows users to set a customizable outlier level, which helps to further filter out extreme price movements and reduce false signals.
Conclusion:
In conclusion, the True Range Oscillator is an excellent example of a normalized price oscillator that offers enhanced accuracy and reliability compared to the conventional RSI. By considering a broader range of price data, maintaining signal strength over longer lookback periods, and providing a smoother curve, the True Range Oscillator provides a more comprehensive analysis of price movements. This makes it an ideal tool for traders and investors looking to improve their technical analysis and make more informed decisions in the ever-changing financial markets. The True Range Oscillator's ability to minimize false signals and offer customizable outlier levels further adds to its value, making it a valuable addition to any trader's toolkit.
RSI vs. Stochastic OscillatorRecently, I was asked to write an article about the differences between two popular technical indicators, the Relative Strength Index (RSI) and the Stochastic Oscillator. As someone who has utilized both indicators in my trading journey, I was excited to share my insights and help others better understand these powerful tools. In this article, we will delve into the purposes, advantages, and disadvantages of the RSI and Stochastic Oscillator, as well as explore their effectiveness on different instruments and how they can be combined with other indicators for optimal trading results. Let's dive in!
1. Calculation method:
a. RSI: The RSI is calculated using the average gain and average loss over a specified period (usually 14). The formula is RSI = 100 - (100 / (1 + (Average Gain / Average Loss))). The RSI ranges from 0 to 100, with 30 and 70 as common thresholds for oversold and overbought levels, respectively.
b. Stochastic Oscillator: The Stochastic Oscillator compares the current closing price to the price range over a specified period (usually 14). It consists of two lines, %K and %D, with %K representing the raw Stochastic value and %D being a moving average of %K. The formula for %K is: %K = (Current Close - Lowest Low) / (Highest High - Lowest Low) x 100. The Stochastic Oscillator also ranges from 0 to 100, with 20 and 80 as common thresholds for oversold and overbought levels, respectively.
2. Sensitivity:
a. RSI: The RSI is generally less sensitive to price fluctuations, which can result in fewer false signals. However, it may not react as quickly to price changes as the Stochastic Oscillator.
b. Stochastic Oscillator: The Stochastic Oscillator is more sensitive to price fluctuations, which can provide earlier signals but also result in more false signals. Traders often use additional filtering techniques to reduce false signals, such as waiting for %D line crossovers or using other indicators for confirmation.
3. Performance in different market conditions:
a. RSI: The RSI works well in trending markets, as it can help identify potential trend reversals. However, it may produce false signals in range-bound markets or during strong trends.
b. Stochastic Oscillator: The Stochastic Oscillator performs well in both trending and range-bound markets, as it considers the price range in its calculation. This makes it more adaptable to different market conditions, although it may require additional confirmation from other indicators due to its sensitivity.
4. Application in trading strategies:
a. RSI: Traders often use the RSI as a standalone indicator or in combination with other indicators such as moving averages, Bollinger Bands, or MACD. The RSI can also be used to spot divergence, where the price makes new highs or lows, but the RSI fails to confirm them, signaling a potential trend reversal.
b. Stochastic Oscillator: The Stochastic Oscillator is often used with other indicators such as moving averages, MACD, or ADX to provide confirmation of trade signals. In addition, it can be used to spot divergence, similar to the RSI, as well as identify potential trend reversals through crossovers of the %K and %D lines.
In summary, while both the RSI and Stochastic Oscillator are used to identify overbought and oversold conditions, they differ in terms of calculation, sensitivity, performance in different market conditions, and application in trading strategies. Understanding these differences can help traders choose the most suitable indicator for their specific trading style and market conditions.
Learn 7 Classic Free Indicators For Technical Traders
◻️MACD(Moving Average Convergence/Divergence)
Traders use MACD to identify changes in the direction or strength of the asset’s price trend. MACD can seem complicated at first glance, because it relies on additional statistical concepts such as the exponential moving average (EMA). But fundamentally, MACD helps traders detect when the recent momentum in an asset’s price may signal a change in its underlying trend. This can help traders decide when to enter, add to, or exit a position.MACD is a lagging indicator. After all, all the data used in MACD is based on the historical price action of the asset. Because it is based on historical data, it must necessarily lag the price. However, some traders use MACD histograms to predict when a change in trend will occur.
◻️VWAP(Volume-Weighted Average Price)
The volume-weighted average price (VWAP) is a measurement that shows the average price of a security, adjusted for its volume. It is calculated during a specific trading session by taking the total dollar value of trading in the security and dividing it by the volume of trades. The formula for calculating VWAP is cumulative typical price x volume divided by cumulative volume. VWAP gives traders a smoothed-out indication of a security’s price (adjusted for volume) over time. It is used by institutional traders to ensure that their trades do not move the price of the security they are trying to buy or sell too extremely.
◻️EMA(Exponential Moving Average)
An exponential moving average (EMA) is a type of moving average (MA) that places a greater weight and significance on the most recent data points. The exponential moving average is also referred to as the exponentially weighted moving average. An exponentially weighted moving average reacts more significantly to recent price changes than a simple moving average simple moving average (SMA), which applies an equal weight to all observations in the period.
◻️THE FOUR TYPES OF EMA:
▪️9-EMA is use for short term trading
▪️21-EMA is used for day trading
▪️50-EMA is used for analysis
▪️200-EMA is used for long term view
◻️RSI(Relative Strength Index)
The relative strength index (RSI) is a momentum indicator used in technical analysis. RSI measures the speed and magnitude of a security's recent price changes to evaluate overvalued or undervalued conditions in the price of that security. The RSI is displayed as an oscillator (a line graph) on a scale of zero to 100.Generally, when the RSI indicator crosses 30 on the RSI chart, it is a bullish sign and when it crosses 70, it is a bearish sign. Put another way, one can interpret that RSI values of 70 or above indicate that a security is becoming overbought or overvalued. It may be primed for a trend reversal or corrective price pullback. An RSI reading of 30 or below indicates an oversold or undervalued condition. Overbought refers to a security that trades at a price level above its true (or intrinsic) value. That means that it's priced above where it should be, according to practitioners of either technical analysis or fundamental analysis. Traders who see indications that a security is overbought may expect a price correction or trend reversal. Therefore, they may sell the security.
Thanks for reading bro, you are the best☺️
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Lazyluchi Talks Relative Strength IndexNow I've been TRADING trend continuation for 180 days now and I had something come to me on WEDNESDAY. The market being in an over bought or sold situation can affect our TRADES. I'll be making use of the RSI to aid my setups (that is: where my SLs and TPs even entries will be). Here are rules that can guide you after watching the video.
RULES OF THE RSI
1. Above 50% is BULLISH
Below is BEARISH
2. When taking TRADES be sure to know where the 50% is.
3. Don't TRADE counter
4. Know thy 20% and 80%
5. Always draw three lines (80,50, and 20) Then know the dominating structure, and take that TRADE
6. In an UPTREND, know thy 20 and 50 (wait for it to break above the 50 to BUY)
7. In a DOWNTREND, know they 80 and 50 wait for it to break below to SELL)
8. STRATEGY: trend following with breakouts
9. The RSI helps to avoid overbought and sold situations
Some abbreviations I'll be using would all make sense when I start. I'll be labelling the 80%,50% and 20% levels. 80 and 50 for the BEARS, 20 and 50 for the BULLS. The DIVERGENCE and STRUCTURES will still be in the works. Stay tuned for them RSI trades. Enjoy!
How to Trade With Relative Strength Index (RSI) Indicator
Hey traders,
Relative strength index is a classic technical indicator.
It is frequently applied to spot a market reversal.
RSI divergence is considered to be a quite reliable signal of a coming trend violation and change.
Though newbie traders think that the application of the divergence is quite complicated, in practice, you can easily identify it with the following tips:
💠First of all, let's start with the settings.
For the input, we will take 7/close.
For the levels, we will take 80/20.
Then about the preconditions:
1️⃣ Firstly, the market must trade in a trend ( bullish or bearish )
with a sequence of lower lows / lower highs ( bearish trend ) or higher highs / higher lows ( bullish trend ).
2️⃣ Secondly, RSI must reach the overbought/oversold condition (80/20 levels) with one of the higher highs/higher lows.
3️⃣ Thirdly, with a consequent market higher high / lower low, RSI must show the lower high / higher low instead.
➡️ Once all these conditions are met, you spotted RSI Divergence.
A strong counter-trend movement will be expected.
Also, I should say something about a time frame selection.
Personally, I prefer to apply it on a daily time frame, however, I know that scalpers apply divergence on intraday time frames as well.
❗️Remember, that it is preferable to trade the divergence in a combination with some price action pattern or some other reversal signal.
Let me know, traders, what do you want to learn in the next educational post?
Relative Strength Index (RSI) | Technical Indicator You Must Kno
✳️What is the RSI Indicator
What is the RSI Indicator? The relative strength index is a market indicator that signals when the asset is over-bought or over-sold. This is a momentum-following indicator that measures how fast the price is moving and changing. The RSI uses different types of averages, but its primary purpose is to show whether a trend is strong or weak within a series of prices.
In general, a strong trend is indicated by values close to 100 while a bearish trend is often indicated by a value near 0.
✳️RSI Indicator Settings
The RSI has the standard setting. When you activate the indicator in any platform the defualt setting are 3 values. They are 6, 14 and 24. These are averages. The 30 and 70 value lines are calculated based on the lower and upper values and the middle lines is the oscillar which is a 14 period average. When the 14 period oscillator is above the 24 period is overbought and when the 14 period is below the 6 period is oversold.
✳️Opening Positions on RSI Signals
The main signal the RSI oscillator generates allows defining overbought and oversold price ranges. Although it is frequently used as a filter in systems where the main indicator is a trend one, it might be possible to try trading using RSI signals only. When indicator’s line goes above the level 70 or below the level 30, it signals that market is overbought/oversold, and it is necessary to wait for the next signal confirming a trend reversal.
✳️RSI Trendlines
Contrary to popular belief, the Relative Strength Index (RSI) is a leading indicator. This quality can be observed by using trendlines on the RSI chart and trading its break. When the RSI is rising, an upward trendline is drawn by connecting two or more lows and projecting the line into the future. Similarly, when the RSI is falling, a downward trendline is drawn by connecting two or more highs and projecting the line into the future. A break of an RSI trendline precedes an actual price reversal or continuation in the market. For instance, if the asset price breaks above a downward trendline, it is a signal that the price is about to edge upwards, either as a continuation of an uptrend or as a reversal of an existing downtrend in the market.
✳️RSI and Chart Patterns
The Relative Strength Index is one of the best technical indicators to complement raw price action signals delivered by candlestick patterns or line chart patterns. For instance, when a bullish candlestick, such as a pin bar, or a price chart pattern, such as a double bottom, occurs in a downtrend, a buy position can be opened when the RSI displays a reading of below 30 to imply oversold conditions.
✳️RSI Divergence
The Relative Strength Index also delivers divergence signals that could be a viable trading opportunity. A divergence occurs when the asset price and RSI do not move in the same direction. A positive (bullish) divergence occurs when the price is drifting lower, but the RSI is edging higher. This is a signal that the price may be heading towards a bottom and an upward reversal is about to happen. On the other hand, a negative (bearish) divergence occurs when the price is drifting higher, but the RSI is going lower. This is a signal that price may be heading towards a top and a downward reversal is about to happen.
✳️RSI and RVI
Both the RSI and the RVI(Relative Vigor Index) are oscillators, but their different qualities can help traders to pick out high-quality RSI trading opportunities in the market. Whereas the RSI focuses on price extremes (high and low), the computation of RVI seeks to relate closing prices to open prices. This means that the RVI has both positive and negative numbers, with the centreline being 0. The RVI gives information on the strength of price movement, with positive values indicating increasing momentum, whereas negative values denote decreasing momentum. The RSI is the best indicator to complement or qualify the signals delivered by the RVI, especially in trending markets. For instance, if the market is in an uptrend and the RVI delivers a bearish divergence signal (prices go higher whereas RVI goes lower). In this case, a retracement or a trend reversal will be confirmed if the RSI reading is above 70, which implies overbought trading conditions.
✳️Here is the list, though now at all exhausting of the ways to use RSI in your trading. I will add that I use it myself, even though you don’t see it on my charts for aesthetic reasons.
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🔥TOP FIVE INDICATORS FOR BEGINNERS🔥
📊ON-BALANCE VOLUME(OVB) IS:
On-balance volume (OBV) is a technical trading momentum indicator that uses volume flow to predict changes in the price.The theory behind OBV is based on the distinction between smart money – namely, institutional investors – and less sophisticated retail investors. As mutual funds and pension funds begin to buy into an issue that retail investors are selling, volume may increase even as the price remains relatively level. Eventually, volume drives the price upward. At that point, larger investors begin to sell, and smaller investors begin buying.
📊MOVING AVERAGE IS:
A moving average helps cut down the amount of noise on a price chart. Look at the direction of the moving average to get a basic idea of which way the price is moving. If it is angled up, the price is moving up (or was recently) overall; angled down, and the price is moving down overall; moving sideways, and the price is likely in a range.A moving average can also act as support or resistance
📊RELATIVE STRENGTH INDEX IS:
The relative strength index (RSI) is a momentum indicator used in technical analysis. RSI measures the speed and magnitude of the pair’s recent price changes to evaluate overvalued or undervalued conditions in the price of that pair. It can also indicate pairs that may be primed for a trend reversal or corrective pullback in price. It can signal when to buy and sell. The RSI is displayed as an oscillator (a line graph) on a scale of zero to 100Traditionally, an RSI reading of 70 or above indicates an overbought situation. A reading of 30 or below indicates an oversold condition.
📊BOLLINGER BANDS ARE:
Bollinger Bands are a form of technical analysis that traders use to plot trend lines that are two standard deviations away from the simple moving average price of a security. The goal is to help a trader know when to enter or exit a position by identifying when an asset has been overbought or oversold. Bollinger Bands were designed by John Bollinger. Bollinger Bands help by signaling changes in volatility. For generally steady ranges of a security, such as many currency pairs, Bollinger Bands act as relatively clear signals for buying and selling
📊MOVING AVERAGE CONVERGENCE DIVERGENCE(MACD) IS:
The concept behind the MACD is fairly straightforward. Essentially, it calculates the difference between an instrument's 26-day and 12-day exponential moving averages (EMA). In calculating their values, both moving averages use the closing prices of whatever period is measured. On the MACD chart, a nine-period EMA of the MACD itself is also plotted. This line is called the signal line, which acts as a trigger for buy and sell decisions. The MACD is considered the "faster" line because the points plotted move more than the signal line, which is regarded as the "slower" line.
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