HA-RSI + Stochastic Ribbon: The Hidden Gem for Trend & MomentumNavigating volatile markets requires more than just raw price action. The Heikin Ashi RSI Oscillator blends the power of smoothed candlesticks with momentum insights to give traders a clearer picture of trend strength and reversals.
At Xuantify , we use the Heikin Ashi RSI Oscillator as a hybrid momentum and trend tool. While the indicator calculations are based on Heikin Ashi values to smooth out noise and better capture trend dynamics, the chart itself displays standard candlesticks (real price data) . This ensures that all signals are aligned with actual market structure, making it easier to execute trades with confidence and clarity.
This dual-layer approach gives us the best of both worlds: clarity from smoothing and precision from real price action. MEXC:SOLUSDT.P
🧠 How We Use It at Xuantify
At Xuantify , we integrate the Heikin Ashi RSI Oscillator into our multi-layered strategy framework. It acts as a trend confirmation filter and a momentum divergence detector , helping us avoid false breakouts and time entries with greater precision. We pair it with volume and volatility metrics to validate signals and reduce noise. Note the Stochastic Ribbon Overlay as shown in the chart, very accurate for momentum.
⭐ Key Features
Heikin Ashi Smoothing : Filters out market noise for clearer trend visualization.
RSI-Based Oscillation : Measures momentum shifts with precision.
Color-Coded Bars : Instantly identify bullish/bearish momentum.
Dynamic Signal Zones : Customizable overbought/oversold thresholds.
Stochastic Ribbon Overlay : A powerful multi-line stochastic system that enhances momentum analysis and trend continuation signals.
💡 Benefits Compared to Other Indicators
Less Whipsaw : Heikin Ashi smoothing reduces false signals common in traditional RSI.
Dual Insight : Combines trend and momentum in one visual.
Better Divergence Detection : Easier to spot hidden and regular divergences.
Visual Simplicity : Clean, intuitive design for faster decision-making.
⚙️ Settings That Matter
RSI Length : Default is 14, but we often test 10 or 21 for different timeframes.
Smoothing Type : EMA vs. SMA – EMA reacts faster, SMA is smoother.
Overbought/Oversold Levels : 70/30 is standard, but 80/20 can reduce noise in trending markets.
📊 Enhancing Signal Accuracy
Combine with Volume Oscillators to confirm momentum strength.
Use Price Action Zones to validate oscillator signals.
Look for Divergences between price and oscillator for early reversal clues.
🧩 Best Combinations with This Indicator
MACD : For cross-confirmation of momentum shifts.
Bollinger Bands : To identify volatility squeezes and breakouts.
Support/Resistance Levels : For contextual trade entries and exits.
⚠️ What to Watch Out For
Lag in Strong Trends : Like all smoothed indicators, it may react slightly late.
Over-Optimization : Avoid curve-fitting settings to past data.
Standalone Use : Best used in conjunction with other tools, not in isolation.
🚀 Final Thoughts
The Heikin Ashi RSI Oscillator is a powerful hybrid tool that simplifies complex market behavior into actionable insights. At Xuantify, it’s a core part of our strategy toolkit, helping us stay ahead of the curve with clarity and confidence.
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Overbought
SMI vs. Stochastic: Which One Gives You the Edge?Momentum indicators are essential tools in every trader’s arsenal—but not all are created equal. While the Stochastic Oscillator has been a go-to for decades, the Stochastic Momentum Index (SMI) offers a more refined and reliable way to read market momentum.
In this post, we’ll break down the key differences between these two indicators, how we use them at Xuantify , and why the SMI might just give you the edge you’ve been looking for.
🧠 How We Use It at Xuantify
We’re always looking for tools that offer greater precision and less noise . While the Stochastic Oscillator is one of the most commonly used tools for spotting overbought and oversold conditions, the Stochastic Momentum Index (SMI) gives us a clearer, smoother view of momentum —especially in volatile or choppy markets.
We use the SMI to refine our entries and exits , particularly when trading breakouts or reversals. MEXC:ETHUSDT.P
⭐ Key Features
Stochastic Oscillator : Measures the closing price relative to the high-low range. Simple and responsive. Great for spotting short-term reversals.
Stochastic Momentum Index (SMI) : Measures the distance of the current close from the midpoint of the high-low range. Smoother and more centered around zero. Better at filtering out false signals.
💡 Benefits Compared to Other Indicators
Stochastic Oscillator vs. SMI:
Signal Smoothness: Moderate vs. High
Noise Filtering: Low vs. Excellent
Centered Oscillation: No vs. Yes (around 0)
Best Use Case: Range-bound markets vs. Trend shifts & momentum confirmation
False Signal Risk: Higher vs. Lower
The SMI is especially useful when you want to avoid whipsaws and get a more reliable read on momentum .
⚙️ Settings That Matter
Stochastic Oscillator : %K = 14, %D = 3
SMI : Length = 14, Signal Smoothing = 3, Double Smoothing = 3
You can adjust the SMI smoothing values to match the volatility of the asset— lower smoothing for fast markets , higher for slower ones.
📊 Enhancing Signal Accuracy
Enhance SMI signals by combining them with:
Trend filters like EMAs or Supertrend
Volume confirmation
Support/resistance zones
Divergence spotting for early trend reversals
This layered approach helps us avoid false positives and stay aligned with the broader trend .
🧩 Best Combinations with This Indicator
SMI + EMA Crossovers: Confirm momentum with trend direction
SMI + RSI Divergence: Spot early reversals with confluence
SMI + Volume Profile: Validate momentum near key price levels
⚠️ What to Watch Out For
Lag in fast markets: SMI’s smoothing can delay signals slightly
Over-optimization: Avoid excessive tweaking of parameters
Not ideal alone: Best used with confluence tools for confirmation
🚀 Final Thoughts
The Stochastic Oscillator is a classic for a reason—but the Stochastic Momentum Index is a refined evolution . We’ve found that SMI gives us cleaner signals , better momentum clarity , and fewer false alarms —especially when paired with smart filters.
If you're looking to upgrade your momentum toolkit , the SMI might just be your edge.
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We break down indicators, strategies, and market psychology to help you trade smarter—not harder.
How Do Traders Identify Overbought and Oversold Stocks?How Do Traders Identify Overbought and Oversold Stocks?
Identifying overbought and oversold stocks is a key part of technical analysis for traders. These conditions occur when a market’s price moves to extremes—either too high or too low—compared to its recent performance. By recognising these signals, traders can spot potential turning points in the market. This article explores what overbought and oversold stocks are, how to find them using technical indicators, and the risks involved in trading them.
What Is an Oversold Stock?
Oversold stocks are those that have experienced a significant price decline, often beyond what might seem reasonable based on their underlying value. This often happens when market sentiment is overly negative, even if the company’s fundamentals remain solid.
Several factors can lead to a stock becoming oversold. For instance, bad news about a company, such as a missed earnings report or legal troubles, can cause investors to sell off shares quickly. Broader market events, like economic downturns or changes in industry regulations, can also drive prices down across the board. Sometimes, even strong stocks get caught up in these waves of negativity.
The concept of overselling isn’t just about price falling, though—it’s about the potential for a reversal. When stocks fall too fast, too far compared to their actual financial performance or growth potential, this is where traders look for opportunities, analysing whether the market is poised for a potential recovery.
What Is an Overbought Stock?
Overbought stocks are those that have risen sharply in price, often to a point where they may no longer reflect the stock’s true value. When a stock is considered overbought, it means there’s been a lot of buying activity, pushing the price higher than what its fundamentals might justify. This often happens when market sentiment is extremely positive, driving demand even when shares may already be trading at high levels.
Several factors can lead to an overbought market. Sometimes, positive news about a company—such as strong earnings, new product launches, or positive analyst reports—can spark a wave of buying. Market-wide optimism, particularly during bullish phases, can also lead to an overbought stock market. Speculative buying, where traders hope to capitalise on short-term price movements, can further inflate the price.
Being overbought doesn’t necessarily mean the stock is due for an immediate correction, but it does suggest that the price may have gone too high, too quickly. The most overbought stocks are often viewed as being in a vulnerable position for a potential pullback, especially if there isn’t enough underlying support from the company’s financial health or growth prospects. Traders consider this an opportunity to sell stocks at potentially good prices.
How Traders Find Oversold and Overbought Stocks with Indicators
Traders use technical indicators to determine whether a stock might be undervalued (oversold) or overvalued (overbought) based on its price action. These indicators allow traders to assess whether a price movement has gone too far in one direction.
Technical indicators are tools that use historical price and volume data to measure things like price momentum and trend strength. When it comes to finding overbought or oversold stocks, momentum oscillators play a key role.
These oscillators measure the speed and magnitude at which an asset’s price is changing. If a market has been rising or falling too quickly, it could be a sign that it’s either overbought or oversold. Also, if a stock has moved too far away from its typical price range, it signals a possible reversal. Traders rely on indicators to determine when the price may be at an extreme, helping them find entry or exit points based on market conditions.
Now, let’s break down some of the most popular indicators used for this purpose.
Relative Strength Index (RSI)
The Relative Strength Index (RSI) is one of the most widely used overbought and oversold indicators. The RSI is a momentum indicator that gauges how fast and how much a stock's price is moving. It gives traders a visual signal of when a stock may have been pushed too far in either direction.
RSI compares the magnitude of recent gains to recent losses to assess whether a stock is overbought or oversold. The indicator ranges from 0 to 100 and is typically used to evaluate whether a stock is moving too fast in either direction. If the RSI falls below 30, the stock is considered oversold, suggesting it could be undervalued and due for a bounce. If the RSI rises above 70, the stock is seen as in an overbought zone, potentially signalling a price correction on the horizon.
While RSI can be helpful, it’s essential to look at it in the context of the broader market. For example, in a strong bull market, a stock might remain overbought for an extended period. Similarly, during a downturn, stocks can stay oversold longer than expected.
Stochastic Oscillator
The Stochastic Oscillator is another momentum indicator. It compares a stock's closing price to its price range over a certain period. The idea behind this indicator is that in an uptrend, prices will close near their highs, and in a downtrend, prices will close near their lows.
The Stochastic Oscillator helps traders identify when a stock’s price has potentially moved too far in either direction relative to its recent range. It’s similar in principle to the RSI, except the Stochastic is considered more useful for detecting shorter-term reversals.
It’s especially useful for identifying overbought and oversold conditions because it moves within a range — between 0 and 100 — similar to the RSI. The Stochastic Oscillator is made up of two lines: %K, which is the primary line, and %D, a moving average of %K. When these lines are above 80, the stock is considered overbought. When they are below 20, it’s considered oversold.
Given its sensitivity, it’s common to see the Stochastic signals a market is overextended for a longer period when there’s a strong trend. This makes it more prone to false signals than the RSI or MACD indicator and typically more useful for trading pullbacks in a broader trend.
MACD (Moving Average Convergence Divergence)
The Moving Average Convergence Divergence (MACD) is another popular overbought and oversold indicator. Unlike the RSI, which focuses primarily on oversold vs overbought levels, MACD is more about trend strength and its direction. It shows the relationship between two moving averages of an asset’s price and can help identify potential shifts in momentum.
The MACD consists of two lines: the MACD line (which is the difference between the 12-day and 26-day exponential moving averages) and the signal line (the 9-day moving average of the MACD line). When the MACD line crosses above the signal line, it indicates a potential bullish reversal. When it crosses below, it signals a bearish reversal.
Since the lines are based on the difference between two EMAs, it’s also possible to gauge an overbought/oversold stock by examining the distance of the lines between their current values and the 0 midpoint. If the lines are far away from 0 and their historical averages, it could indicate a stock is overbought or oversold.
However, generally speaking, MACD is less about pinpointing specific overbought/oversold levels and more about identifying when momentum is shifting. A rapid crossover of the lines, especially after a strong move, can signal that a reversal might be near.
Considerations When Using Momentum Indicators
While momentum indicators like the RSI and MACD can be useful for spotting overextended stocks, there are a couple of key points to keep in mind when using these oversold and overbought indicators:
Divergences
A divergence occurs when the price moves in the opposite direction to the indicator. For example, if a stock is making higher highs but the indicator is making lower highs, this can signal weakening momentum and a possible reversal. Divergences offer another layer of insight, so it's worth paying attention to them alongside other factors.
Timeframes
Different timeframes can produce different results. An indicator that shows a stock is oversold on a daily chart might not show the same on a weekly chart. It's important to choose the right timeframe for your trading strategy, whether short-term or long-term. Generally, many traders take a top-down approach, allowing higher timeframe signals to better inform your analysis on lower timeframes.
Risks of Trading Oversold and Overbought Stocks
Trading oversold and overbought stocks can be appealing, as these conditions often suggest a potential reversal in price. However, there are some risks to consider when relying on these signals. A few important points to bear in mind include:
- False Signals: Just because a market is oversold or overbought doesn’t guarantee a reversal. Prices can continue to decline or rise despite what momentum indicators suggest. Traders need to be cautious about assuming that every extreme condition will result in a price correction.
- Extended Trends: In strong bullish or bearish trends, a stock can remain in overbought or oversold territory for longer than expected. This can lead to premature trades, where investors get in too early or expect a reversal that doesn’t come for a while.
- Market Sentiment: Sometimes, external factors like news events or broader economic conditions can overpower technical indicators. If there’s overwhelming optimism or pessimism in the market, a stock may continue in its overbought or oversold condition for longer than anticipated.
- Lack of Confirmation: Relying on a single indicator can be risky. It’s common to use multiple indicators or combine technical and fundamental analysis for a more balanced view. There may be no other supporting signals when a stock is oversold, meaning the trade carries higher risk.
The Bottom Line
Understanding overbought and oversold stocks, along with the indicators used to identify them, can help traders spot potential market opportunities. While these conditions may signal a reversal, it’s important to recognise there is no one best overbought and oversold indicator and use multiple tools for confirmation. Ready to apply these insights? Open an FXOpen account today to access more than 700 markets, including a huge range of stock CFDs, and four advanced trading platforms.
FAQ
What Is Overbought and Oversold?
Overbought and oversold are terms used to describe extreme price movements in markets. A stock is considered overbought when its price has risen rapidly and above its underlying value, which potentially makes it overvalued. It’s oversold when the price has fallen sharply and below its underlying value, which makes it undervalued. These conditions can signal that a price reversal may be coming, though they don’t guarantee it.
What Does It Mean for a Stock to Be Overbought?
The overbought stock meaning refers to a stock that has increased quickly and is potentially trading higher than its actual value. This often occurs due to strong demand or market optimism. Overbought conditions might signal that the price is at risk of a pullback.
What Does It Mean When a Stock Is Oversold?
The oversold stock meaning refers to a stock that has dropped significantly and may be below its true value. This often happens when there’s been excessive selling, and it could suggest that its price is due for a rebound.
How Can You Find Oversold Stocks?
Traders often use technical indicators like the Relative Strength Index (RSI) to find the most oversold stocks. An RSI reading below 30 typically suggests that a stock is oversold and may present a buying opportunity. Other indicators, like the Stochastic Oscillator, are also commonly used to identify oversold conditions.
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.
Catching Dips any Coin with Spiderline !The Spiderline is a concept in cryptocurrency that refers to a specific strategy or indicator used in technical analysis to identify key support and resistance levels on the price charts of crypto assets, particularly Bitcoin.
This concept is based on retracement levels or structures calculated from historical market data. Here are the key points to understand the Spiderline:
Origin:
It is often used by experienced traders to visualize critical zones where the price has historically reacted (bounced or been rejected). These zones are derived from specific lines on the charts based on previous Bitcoin price movements.
Usefulness:
- Identify support levels: where the price could stop during a decline.
- Determine resistance zones: where the price might struggle to move higher.
- It also helps plan entry and exit points based on the likelihood of market reactions.
Differences from traditional indicators:
Unlike tools like moving averages or the Relative Strength Index (RSI), the Spiderline is more specific to Bitcoin's historical behavior and is often used over longer timeframes.
Associated strategy:
Traders use it to refine their buying or selling decisions, avoid trading against strong trends, and manage their risk effectively.
Credit Inspired by #Cryptoface
When is a stock too high to buy? (Example: IHG)How do you know when you’ve missed the boat?
A stock has already gone up a tonne, so bascally you are too late!
Sometimes, you just have to let go, right?
Sometimes yes, but not always - let’s look at an example.
International Hotels Group (IHG)
Back in 2020, LSE:IHG IHG shares were trading down at ~2000 GBX, now they are a hairs breadth from 10,000 - that’s 5X in about 4 years. Not bad.
Can you really even think about buying shares at 10,000 that were 2,000 only 4 years ago. 🤔
We’re saying YES.. if you follow some guidelines.
Clearly this is not a value investment - this is a momentum trade.
To be buying IHG shares up here, one is basically arguing that the price at new highs indicates and buyers are in charge and the price is going to keep going up for the time being.
This helps define the trade risk very well.
If the trade is that IHG has broken out over the previous peak at ~8,800. We don’t want to be owning shares below this level - if they’re back below 8,800 the momentum has stalled and we need to be out.
To put it another way, we are not buying just under 10,000 and willing to hold the shares all the way back down to 2,000 again - no. We want to ride the momentum up - not down !
From here there’s a pretty good chance that momentum takes the price up to the 10,000 level. As a big round number, there is also a good chance that profit taking takes place here too.
That creates our buy zone between 8,800 and the current market price (9,750).
So what might a trading strategy look like to capture this situation?
The following is a way to have:
An intial risk of £1000 to test the waters
A total risk £3000 if/when the trade starts working
A 2X profit potential (with the opportunity to capture more)
Spread Betting Strategy: Target £6000+ Profit with £1000 Initial Risk
Entry Points and Stops
9000 GBX Entry:
Stop Loss: 8600 GBX.
Bet Size: £2.50 per point.
Risk: £1000.
9200 GBX Entry:
Stop Loss: 8800 GBX.
Bet Size: £2.50 per point.
Risk: £1000.
9400 GBX Entry:
Stop Loss: Trailing 400 points.
Bet Size: £2.50 per point.
Initial Risk: £1000.
Profit Targets
First Position (9000):
Gain: 1000 points.
Profit: £2500.
Second Position (9200):
Gain: 800 points.
Profit: £2000.
Third Position (9400):
Trailing Stop Profit Example:
10,400 GBX: Profit = £2500.
11,000 GBX: Profit = £4000 or more.
Summary
Total Risk: £3000.
Fixed Profit (First Two Positions): £4500.
Potential Profit (Third Position): Variable, based on trailing stop.
Reward-to-Risk Ratio: 2:1 or higher, depending on trend continuation.
Price overextension: misconceptions and common mistakesPrice overextension remains a widely misunderstood concept in trading, causing both novice and seasoned traders to make errors in their decision-making. This misinterpretation often leads to placing trades in the wrong direction or, equally detrimental, overlooking profitable opportunities.
In essence, price overextension signifies that the market has undergone a rapid and excessive movement in one direction. Such movements are often perceived as unsustainable. Numerous indicators, such as Stochastic, RSI, Bollinger Bands and many other, attempt to identify such "abnormal" price movements so traders could capitalize on them. Despite variations in statistical methods and calculations, their common goal is to detect instances where price went or down too much and is likely to reverse.
In this discussion, I will use Relative-Strength-Index (RSI), a popular indicator, to convey my perspective on price overextension. While some traders argue for customization, the elusive question of "how" often remains unanswered. From my experience, there are no universally perfect settings that consistently yield optimal results.
I’ll draw my examples from the recent SPY bar chart (February 2024).
The first misconception
The first misconception is that if price is overextended it is time to immediately start looking for a trade in the opposite direction. The most important phrase here is “start looking”. Many beginners misinterpret this as an invitation to commence trading, leading to the premature initiation of short positions during perceived market "overextension" and vice versa.
So, the first and foremost important advice is to never try guessing top/bottom based on one indicator or gut feeling. Simple as it seems I remember many times breaking this rule myself because the temptation was too strong. It rarely ended up well.
On the graph, I've highlighted three recent instances where the RSI exceeded 70 (indicating overbought conditions). What stands out is that, following each occurrence, the price surged significantly before consolidation set in, inflicting losses upon short traders.
Even experienced traders, who look for confluence of signals, may fall into this trap. In the first two examples, bearish candlestick patterns failed to prevent subsequent price increases. Most likely, those candles were “created” by weak hands traders, who tried to short market, while it was actually controlled by strong buyers.
These instances could have been avoided by considering the daily graph, revealing a robust bullish context – price was in an uptrend, one-time-framing up on weekly. There were couple of moments when bears gained short term control (Tuesdays 13th and 20th) but they never could take the previous week low; bulls always confirmed their control.
The second advice is to avoid trading against higher level context. While sometimes those trades might work the result is usually mediocre and most of the times you’ll simply lose. If you really wish to trade against context you need to construct a solid dossier of evidence, supporting your trade.
The second misconception
What is the second misconception? It is that when price overextended it is not time to go with the market. In this scenario, traders refrain from initiating long trades after RSI indicates overbought conditions, potentially causing them to miss profitable opportunities. It might not hurt your account but who likes missing good opportunities?
Surprisingly, seizing these trades correctly is not much harder than any other trade. It simply requires prudence and discipline and getting rid-off cognitive biases. For example, in the second example on the graph a trader could win up to 1% if he played off gap-up open after seeing that the new price has found acceptance.
Conclusion
It is possible to build a profitable strategy that relies on “price overextension” concept. However, it demands more than a cursory examination of a single indicator and adherence to textbook candle patterns. Personally, I reached a point where I entirely abandoned the use of RSI and similar tools because, instead of providing clarity, they seemed to cloud my thinking.
Opting for a more effective approach involves keenly observing actual market behavior, which often defies conventional expectations. Study of high-level contexts, understanding key levels, and discerning confluence in price action signals on lower timeframes consistently prove invaluable. This method helps steer clear of common pitfalls and contributes to enhancing overall trading results.
☆ The Relative Strenght Index (RSI) # on4 ! ☆The Relative Strength Index (RSI)
-
is a popular technical indicator used by traders to identify overbought and oversold conditions in the market. The RSI with a period of 4 is a shorter-term version that can provide more frequent signals.
I use RSI 4 effectively following these steps:
Understanding RSI Basics:
The RSI measures the strength and speed of price movements.
It oscillates between 0 and 100, with values above 89 indicating overbought conditions and values below 11 indicating oversold conditions.
Identifying Overbought and Oversold Conditions:
When the RSI 4 rises above 89, it suggests that the market may be overbought, indicating a potential reversal or a corrective pullback.
When the RSI 4 falls below 11, it suggests that the market may be oversold, indicating a potential buying opportunity.
Confirming Signals with Price Action:
While RSI 4 can provide valuable insights, it is important to confirm its signals with other technical indicators or price action.
Look for additional confirmation such as trendlines, support/resistance levels, or candlestick patterns to strengthen the validity of the RSI signals.
Divergence Analysis:
RSI 4 can also be used to identify bullish or bearish divergences.
Bullish divergence occurs when price makes a lower low while RSI 4 makes a higher low, indicating potential upward momentum.
Bearish divergence occurs when price makes a higher high while RSI 4 makes a lower high, suggesting potential downward pressure.
Setting Stop Loss and Take Profit Levels:
Determine appropriate stop-loss levels to protect your trades in case the market moves against you.
Set take-profit levels based on your risk-reward ratio and the potential of the trade.
Remember, RSI 4 is just one tool in your trading arsenal. It is essential to combine it with other technical indicators, chart patterns, and fundamental analysis for a comprehensive trading strategy. Regularly monitor the performance of RSI 4 in different market conditions and adjust your trading approach accordingly.
Note:
The use of any technical indicator, including RSI 4, does not guarantee successful trades. It is important to practice risk management, conduct thorough analysis, and make informed trading decisions based on a holistic view of the market.
Always remember that no single indicator or strategy can predict market movements with 100% accuracy. Utilize RSI 4 as part of a well-rounded trading methodology, and continually refine your skills and knowledge through experience and ongoing education.
HappyForexTrading ☆ J
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!
Tips to Help Demystify the RSIPrimary Chart: Tips to Help Demystify the RSI
Introduction to Momentum Indicators
Many indicators exist for technical analysis. And a number of them focus on momentum, which is distinguishable from other core technical concepts such as trend, support and resistance, volatility, and standard deviation. Momentum tools measure the velocity of a directional price move. Using a train as an analogy, momentum considers the speed, velocity and magnitude of the train's movement in a given direction, e.g., north or south. In a sense, it helps determine the strength and speed of the directional travel of the train.
By contrast, trend analysis considers whether a price move is consistently heading in a given direction. A trend can be valid despite corrective retracements, where price retraces a portion of the prior move, consolidates a portion of the prior move, and then resumes movement in the trend's direction. Using the same train analogy, trend analysis considers how effectively and persistently the train is moving in a given direction, such as north or south. Momentum, though, considers the train's speed and velocity in whatever direction the train is moving.
Many momentum indicators also are not limited to analyzing momentum and may have utility as a trend gauge as well. For example, Stochastics, MACD and RSI all have the additional capacity to help analyze trends.
Basic Concepts and Calculation of RSI
Created by J. Welles Wilder, the RSI is one of the most widely used and well-known momentum indicators. The acronym "RSI" means relative strength index. RSI should not be confused with the concept of relative strength, which compares one instrument or security against another to determine its outperformance or underperformance. Some other common momentum indicators that have been in use for many years include the Rate-of Change, Chande Momentum Oscillator, Stochastics, MACD, and CCI. Most momentum indicators, including RSI, share some conceptual aspects, such as overbought and oversold conditions and divergences, even though they may vary in the way they are calculated and interpreted.
Reviewing the way an indicator is calculated can sometimes help to sharpen one's understanding of it and interpret it more effectively. RSI's calculation is not as complex as some indicators. So reviewing its calculation remains an accessible exercise, but this is not essential to mastering the indicator. TradingView's RSI description contains a useful summary of how the indicator is calculated. See the Calculation section of the RSI description at this link: www.tradingview.com(close%2C%2014).
Another excellent description of how RSI is calculated may be found on this reputable technical-analysis website: school.stockcharts.com
To summarize, RSI's basic formula is as follows: RSI = 100 – (100 / 1 + RS), where RS = average gain / average loss.
Using the default lookback period of 14 (note that any lookback period can be selected), the calculation then proceeds to include 14 periods of data in the RS portion of the calculation (average gain / average loss). So the average gain over the past 14 periods is divided by the average loss over the past 14 periods to derive "RS," and then this RS value is plugged into the formula at the start of this paragraph. The subsequent calculations also have a lookback of 14 periods (using the default settings) but smooth the results.
Smoothing of these values then occurs by (1) multiplying the previous average gain by 13 and adding the current period's gain, if any, and dividing that sum by 14, and (2) multiplying the previous average loss by 13 and adding the current period's loss, if any, and dividing that sum by 14. If the lookback period is adjusted from the default of 14, then the formula and smoothing techniques will have to adjust for that different period.
In short, the calculation reveals that RSI's core function is to compare the size of recent gains against the size of recent losses and then normalize that result so the indicator's values may fluctuate between 0 to 100. Note that if a daily period is used, for example, the average day's gain is compared against the average day's loss over the lookback period selected. Similarly, if hours are used, the average hour's gain is compared against the average hour's loss over the relevant lookback period.
RSI can be used on any timeframe, including a 1-minute or 5-minute chart, and simply calculates its values based on the period to which the indicator is applied, based on a default using closing prices for the period specified. With TradingView's RSI indicator, traders have a great deal of flexibility in adjusting such defaults to some other preferred value, so the closing price need not be used—the default can be changed to the open, the high, the low, high+low/2, high+low+close/3, or several other options.
Interpreting RSI's Overbought and Oversold Signals
With some exceptions, the higher-probability RSI overbought (OB) and oversold (OS) signals align with the direction of the trend. The old trading adage remains valid for RSI as with other forms of technical analysis: the trend is your friend. In the chart below, consider the yellow circles flagging OS signals that could have been effective in the Nasdaq 100's uptrend in 2021.
Supplementary Chart A: Example of RSI OS Conditions That Align with an Uptrend and Key Support
As with other technical trade signals, countertrend setups should be avoided in the absence of overwhelming confirmation from other technical evidence. If a countertrend setup is traded, use extra caution and smaller position size. In this context, trading RSI signals against the trend means selling or entering a short or bearish position in an uptrend when an OB signal appears, or it means buying or entering bullish positions in a downtrend when an OS signal appears. It may also mean trading counter-trend positions as soon as RSI begins exiting an OB or OS zone.
Stated differently, trading overbought and oversold signals against the trend will likely result in mounting losses. Countertrend trades require much technical experience and significant trading expertise—and even the most experienced trading veterans and technical experts say that the counter-trend trades tend to be low probability setups. In short, never trade the RSI's OB and OS signals mechanically without considering any other technical evidence.
Supplementary Chart B: NDX OB Condition in an Uptrend
In the chart above, note how the Nasdaq 100 (NDX) reached a fairly high daily RSI reading of 77.17 on July 7, 2021. This chart shows an example of how even very high OB conditions can persist much longer than expected. RSI remained above 70 for over a trading week. And the ensuing pullback was not that significant, and it didn't reverse the uptrend at all. The risk-reward for mechanically trading this setup would have been poor, and stops would probably have been ignored at some point in the days following the signal. For an experienced trader with small position size, perhaps the second RSI peak immediately following the July 7, 2021 peak would have worked for a short-term trade given that a divergence arose (higher price high coinciding with a lower RSI high). But it would still have been a difficult trade requiring excellent timing and precision.
In summary, OB / OS signals should not be interpreted and traded mechanically. The trend and other technical evidence should always be considered. OB / OS signals work best when aligned with the direction of the trend on the relevant time frame. They also work best when taken at crucial support or resistance.
Consider several other tips and tricks when interpreting OB / OS signals on RSI.
1. The importance of an OB / OS signal depends not only on the context of the trend in which it arises but also on the time frame on which it appears and the lookback period used in its calculation. This is intuitive, but it helps to keep this in mind. For example, an OB / OS reading has a greater effect on the weekly or monthly chart than on the daily, and an OB / OS reading has a greater effect on daily chart than on the hourly or other intraday chart. Furthermore, if the RSI lookback period is set to 5 periods on a given time frame, the effect of an OB / OS reading will less significant than if the RSI lookback period is set to 14 (the default setting).
2. Consider past OB / OS readings for the same security or index being considered (using the same time frame for past and current OB / OS readings). Each security or index may have OB / OS levels that differ somewhat from other securities or indices. In addition, the OB / OS readings that are typical for a given a security, index or instrument may vary over time in different market environments. It may help to draw support or resistance lines on the RSI indicator within the same market environment and trend to determine what RSI OB / OS levels are typical. RSI support or resistance levels in an uptrend should not drawn to be applied and used in a downtrend for the same index or security.
Supplementary Chart C.1: RSI Support and Resistance Levels for NDX in 2021 on Daily Chart
Supplementary Chart C.2: Two RSI Downward Trendlines Drawn on BTC's Weekly Chart to Help Identify Resistance
3. Divergences can strengthen the effect of an OB / OS signal. Stated simply, a divergence occurs when the RSI and price are in conflict. For example, consider two or three subsequent higher highs in price that occur (this can happen in an uptrend or a bear rally or in a trading range). When price makes the second or third high, a divergence arises if RSI makes a lower high. Or consider two or three subsequent lower lows in price. When price makes the second or third lower low, a divergence arises if the RSI makes a higher low. A greater number of divergences presents a stronger signal than a lower number of divergences. And having divergences on multiple time frames can also be helpful. Finally, a divergence should not be traded until confirmation comes from price itself, i.e., a trendline or other support / resistance violation.
Supplementary Chart D: Example of RSI Bearish or Negative Divergence at NDX's All-Time High in November 2021
4. OB / OS signals also can be helpful in chop when they arise at the upper boundary of a well-defined trading range. In choppy trading ranges, one has a better trading edge at the edge. OB / OS signals that arise at the edge (at critical support / resistance) are the most useful. But depending on the trading strategy, setups in choppy trading ranges can be more difficult and lower probability than setups in strong trends.
Using RSI as a Trend-Analysis Tool
While primarily a momentum tool, the RSI has trend-analysis aspects. Because the RSI will likely remain in overbought (OB) or oversold (OS) for extended periods, it helps evaluate the strength and duration of price trends.
In an uptrend or bull market, the RSI (daily) tends to remain in the 40 to 90 range with the 35-50 zone acting as support. In a downtrend or bear market the RSI (daily) tends to stay between the 10 to 60 range with the 50-65 zone acting as resistance. These ranges will vary depending on the RSI settings, time frame, and the strength of the security or market’s underlying trend. As mentioned above, RSI readings will also vary from one security or index to another. They also vary in different market environments, e.g., a strong uptrend vs. a weak uptrend will have different OB / OS readings.
So the RSI can help confirm the trend when it moves within the RSI range that is typical of that security or index when trending. As a hypothetical example example, if a major index appears to be making higher highs and lower highs, respecting trendline and other key supports, and showing technical evidence of an uptrend, then RSI can help confirm this trend analysis by marking OS lows within the 35-50 range (perhaps 30 on a volatile pullback). RSI can also help time entries and exits when reaching the area that has been where RSI has found support in its current market environment.
The following points summarize how RSI tends to operate during trending price action:
During an uptrend, RSI will trend within the upper half of the range (roughly), moving into OB territory frequently (and at times persisting in the OB zone) and finding support around 35-50. When RSI finds support around 35-50, this may represent tradeable a price pullback—a retracement of the recent trend’s price move—that may work as a bullish entry if other technical evidence confirms.
During a downtrend, RSI will trend within the lower half of the range (roughly), moving into OS territory frequently (and at times persisting in the OS zone) and finding resistance around 50-65. When RSI finds resistance around 50-65 (sometimes higher given the violent nature of short-squeeze induced bear rallies), this may represent tradeable a price bounce—a retracement of the recent trend’s price move —that may work as a bearish entry if other technical evidence confirms.
RSI, like other indicators, cannot produce perfectly reliable and consistently accurate signals. Like other indicators, it can help identify higher probability trade setups when used correctly and when confirmed with other technical evidence. When considering trade setups in terms of probabilities rather than certainties, traders will find position sizing and risk management to be a vital part of any strategy that relies in part on the RSI.
Educational (divergence + volume)Hi guys, in order to spot a divergence you should be careful which timeframe you're looking at. for example in the left picture, the daily timeframe is showing higher highs in price (at each candle) and lower highs in RSI (at each candle). but note that these are not highs and lows and as long as you can't find signs of accumulation and distribution in highs and lows (as long as there's no valid consolidation) you can't name them as highs and lows. so there's no divergence. but in the lower time frame (what is shown is 4h) you can see it more clearer that for every candle in the daily time frame, you have a specific trend in the 4H timeframe. so you can name them as highs and lows and yes, there is a divergence now.
also, keep in mind that in the lower timeframe. every time you're making a new high in rsi, you should expect it to be more volatile and be more sensitive in a way that in the next new rsi high, you have less time spent in the overbought area.
The next part is about the volume profile. you have less resistance in front of the price movement where there is less volume traded in the past. BUT NOT ALWAYS!
less trades made in the past in an area means two things:
1- you can expect the price to move faster and sharper and take less time in that area
2- if the price wants to make a low or high or a pattern, it's less predictable and there's more chance of wrong analysis and fake patterns.
Feel free to leave any comments and ask questions!
Wave exhaustionThe main purpose of analyzing waves is to understand when the current wave is exhausted aka overextended aka overbought aka oversold.
What is every1 seem to miss is that exhaustion is not based exclusively on "price gone too far", but also on "too much time passed" and "not much volume was traded" as well. That's one of the main reasons why your comparative analysis, divergences on so called "indicators" do not work properly. It simply can't. These methods do not gain time & volume information from the data.
When you analyze order flow on any resolution, be it 1 minute, 5 years or tick chart, you're interested in 2 waves: current wave and *the very last (previous) wave in the same direction .
* including the imaginary waves
Don't forget to turn in log scale when it's needed!
You compare these 2 as the current wave develops and keep updating the answer to the binary question, "which of these two waves is weaker". Strength of a wave = it's ability to continue. Every wave starts strong and goes weaker and weaker, the factors are:
1) Time. Horizontal size of a wave (in bars), more time (more bars) - weaker ;
2) Range. Vertical size of a wave, higher range - weake r;
3) Volume, or inferred volume. You sum up all the volume within a wave, or sum up all the bar sizes within a wave. Less volume - weaker .*
* in order not to sum up anything within a wave yourself, here you can turn in volume/range bars and simply count em.
And from that moment it's like "Best of 3" comparison.
1) Time. Wave A 10 bars, wave B 5 bars. Wave B is stronger;
2) Range. Wave A 546 points, wave B 890 points. Wave A is stronger;
3) Volume. Wave A 10k, wave wave B 8k. Wave A is stronger;
So at that point, wave A was stronger = wave B was weaker.
This will be giving you a binary answer which wave is weaker. When the current wave becomes weaker than the last wave in the same direction, current wave is considered exhausted.
P.S.: wave start in time (first bar of the wave) is the level origin itself or the first bar that touched a level if we talked about a new wave starting from an already positioned level, or about a wave started after clearing a positioned level.
The more you'll think about the more it'll make sense. An example. Remember seeing fast price jumps? After some, the price reverses very fast and goes back, after others prices continues in the direction of the jump. In most of the cases the current wave (the jump) gets exhausted in terms of price, but not exhausted in terms of time (the jump was very fast). So in terrms of time and price both waves are 50/50. What is different is volume. If the current wave (the jump) had a huge volume, overall it's still not exhausted, hence it continues. Sounds familiar? Sounds logical?
Just the last simple and obvious thing, in most cases you won't need to calculate sum volumes/ranges, usually at the moment of analysis the current wave is already longer and higher than the previous one in the same direction, hence the current wave is already exhausted.
Yessir
Overbought & OversoldIf you can identify overbought or oversold conditions, as a trader, this can be highly profitable. In particular, these are two definitions that refer to the extreme values of the price in addition to their intrinsic value. So, when these conditions appear, a reversal of the direction of the price is highly expected.
What is Overbought?
When something is ‘overbought’, it means that the price is thriving for a long peri. Because of this, it’s trading at a higher price than it actually should be. In other words, the asset is overly expensive and a sell-off is about to happen.
What is Oversold?
When something is ‘oversold’, it means the price is in a negative momentum for an extended period. Because of this, it’s trading at a lower price than it actually should be. In other words, the asset is overly cheap and an upward rise is about to happen.
Indicators
Moreover, there’re plenty of technical indicators which you could use in technical analysis. To confirm the Overbought and Oversold conditions the three indicators commonly used are:
Bollinger Bands,
Relative Strength Index and
Stochastics
Bollinger Bands
The Bollinger Bands appear as a channel. Specifically, the middle line is often a twenty-period moving average. On the other hand, the upper band is the moving average plus two times its standard deviation. Furthermore, the lower band is the moving average minus two times its standard deviation. As a result, the price seems to fluctuate in this channel and normally doesn’t move out of the bands. However, when the price tends to move out of the upper band the price can be considered as overbought. Likewise, the same thing happens when the price moves out of the lower band, the price can be considered oversold.
Relative Strength Index
The Relative Strength Index is a momentum oscillator where the horizontal axis appears as a function of time and the vertical axis as on a scale of 0 to 100. In addition, the standard amount of periods used for this indicator is 14.
So, the Relative Strength Index measures the magnitude and the speed of recent price action. The indicator compares a security strength on days when prices go up to its strength on days when prices go down. Yet when the Relative Strength Index has a value higher than 70 the price can be considered as overbought. When the opposite happens and the price drops down a value of 30 the price can be considered as oversold.
Stochastics
Stochastics is like the Relative Strength Index, a momentum oscillator where the horizontal axis appears as a function of time and the vertical axis is displayed on a scale of 0 to 100. However, the stochastic oscillator is predicated on the assumption that closing prices should move in the same direction as the current trend.
Meanwhile, the Relative Strength Index is measuring the magnitude and the speed of the current price action. The Stochastic oscillator does calculate this value and expresses this value into a %K.
In addition, the standard amount of periods used for this indicator is 14. When the %K crosses a value of 80 the price can be considered as overbought. When the opposite happens and the price drops down a value of 20 the price can be considered as oversold.
Combined
One indicator that matches the criteria for being ‘overbought’ or ‘oversold’ can suggest a small trend reversal. But once all 3 indicators combined are matching the criteria, the assumption of a trend reversal is very likely to happen. Therefore, for trading in general this can be a profitable and low-risk strategy.
The worst trading strategy for HARSI or any other indicator.**Not gonna lie. This is a 20+ minute video because I almost lost it, and I went on a RANT! The way I see people just blindly accepting and using ridiculous strategies on indicators is just awful.**
I have come across countless TV, YouTube, and other online sourced videos filled with misinformation, and I will make it part of my mission to call out these ridiculous strategies.
I just cant sit idlily by while you guys blow your accounts away making bad trades off of horrible information, based from someone who obviously is NOT a real day trader.
With that, in todays video, with my brain on fire and my mouth being held back, I am going to cover the strategy I keep seeing here on YouTube.
Its one that people claim "The developer told them to use."
The strategy is for the original #HARSI (#heikenashi #harsi )
I'm here to tell you, that i have spoken with the original developer a number of times and NOT ONCE did they say this strategy is theirs or that they use it.
I'm also going to give you a very quick run through of a proper way to use the new version of the HARSI called the #CSCHARSI or (#coffeshop #Crypto #HARSI )
Download the indicator here:
My Tradingview Profile:
www.tradingview.com
RSI Overbought & Oversold Strategy
What Is the Relative Strength Index (RSI)?
1. The relative strength index (RSI) is a popular momentum oscillator introduced in 1978.
2. The RSI is displayed as an oscillator (a line graph) on a scale of zero to 100.
3. An asset is usually considered overbought when the RSI is above 70 and oversold when it is below 30.
4. The RSI line crossing below the overbought line or above the oversold line is often seen by traders as a signal to buy or sell.
5. The RSI works best in trading ranges rather than trending markets.
Overextended Markets (Overbought And Oversold)1) Bollinger Bands:
Some traders will determine the market as "over-extended"
when the price is piercing above or below the Bollinger bands.
If above then the price is considered overbought and price may start to reverse.
If below then the price is considered oversold and the price may start to reverse.
2) Stochastic RSI:
some traders will determine the market as "over-extended" once the price is over the 70% line or below the 30% line.
The bottom 30% means the price might be oversold and buyers are projected to come in.
When the price is above the 70% line the market is considered overbought and sellers are projected to come in.
3) Supply And demand
When we have 3x continuation patterns in a row DBD or RBR in a row, we can draw a downward or upward aggressive trend line (momentum line).
When this happens, we consider the market overextended and call it the “elastic band effect”.
stretch out an elastic band to the breaking point and let go, the elastic band snaps back at a high-speed force and hurts.
This is the same for trading, When the market is overextended and breaks the downward or upward momentum line, we can assume the market will snap back and remove 2 if not 3 of the opposing zones that gave us the ability to draw the aggressive momentum line.
Buying or selling the pullback into the demand or supply is usually a good call if the criteria are met for a good trade.
EW Projection for Bull Rally: You sure you want to short this?!Be really careful about placing bets against this monster. The end phase of bull markets are always characterized by explosive panic rallies.
Been rising for 12 years. Fed gonna raise rates >1% next year, probably gonna get a 50 basis pip pop in spring or summer, inflation unchecked. Read Friday's NY Times for a very insightful article on when, why and how much interest rates will rise; projecting mortgage rates to rise >1% in 2022.
Most traders now alive have never seen a secular bear market. That's a period when prices just decline for years, or churn aimlessly, no one wins.
Bear markets that last for 3-6 weeks are not real bears, lol. They are mini-bears, bear cubs or just a mild hangover before the buying begins again.
In a real bear, the buying does NOT begin again. Prices decline, and then drift further down; and do not bounce. This is not here YET, but SOON IMO.
BUT, before the Bear, we should expect a last hurrah for the old Bull, and shorting it will be a widowmaker. Do not get killed, please!!
So much for the lecture, here's the Education part of this idea it's about using all the tools you can to make educated guesses about price direction; we have Elliott waves, RSI, MAs, and Fibonacci retracement and projection extensions as possibly useful analysis tools, any and all of which can and will fail us:
Elliot wave theory suggests that we have a completed or near completion 3rd wave, the longest and strongest wave of an impulsive movement.
Beware! EW projection is an arcane art and no one can really 'see' these waves until after they have passed... you do NOT know where you are in the wave when you're in it! Forecasting of EWs is purely speculative guesswork, and totally subjective; "Where do I number my waves, guru?!"
Disclaimer: As you know, Ralph Nelson Elliott was an accountant and math genius whose insight into market behavior led to his uncanny prediction of the bottom of 1935 mini-bear that followed the Crash of '29 (a bear that lasted until 1932...!). His theory is only a theory, and many forecasting services exist pretending to anticipate what the market will do next, but in fact underperform index funds. Still fascinating though!
RSI is overbought, but can get MORE overbought (see prior posts about why we do not enter shorts purely based on indicators!); expect some consolidation and price weakness before moving higher; the Fibonacci 1.272 extension of this rally leads to price 4614, after pullback to a higher low.
Market trades now more than 3SD above the 200 DMA, more than 2SD above the 50DMA; a pullback is very likely in these conditions. the 20DMA may be support.
Disclaimer: As you know, Fibonacci is a dead Italian math genius, these projections based on nothing more than number theory are pure necromancy but sometimes can be coincidentally correct, like a stopped clock that's right twice a day, lol.
IMO 4682 is on the table at the next Fib extension. Expect weakness in the last week of October; and new ATH again in November, barring surprises.
A sharp pullback is likely to follow the ATH, if and when we get it. So uncertain now, just a mad gamble TBVH.
NB: A zig-zag pattern is still possible, some of the fiercest rallies precede the most bearish cascades; or a Cup & Handle may form, if so, the Handle typically will pullback half the height of cup wall, would be ~80-100 pips, so price around 4460-4480 is a likely a buy zone to re-enter. ANY or NONE of these possibilities might emerge, which makes stock speculation so wildly exciting! Be cautious, do not overtrade, use sensible position sizing!
I am not entering a position or making any recommendation to take any position here. Pure WAGuess IMO; this is purely for your amusement, and hopefully enlightenment. GLTA!
The Regular Divergence (2) Stock price is lower low, but indicator is higher low. The price touches the support trend line.
Tips:
This is index, not a stock. But the tips should apply as well.
2013 dec 13, price and stochastic have divergence.
Stochastic is to value price momentum.
The divergence is a regular divergence. Means the price will bouce back. Here is for price lower low, but indicator higher low.
Stochastic works only for a range price move. For strong trend, not working. Here the indicator value is very low, and the stock not in a strong trend swing, means oversold. More probably to bounce back.
The stock runs in a very long range. The price drops almost on the support trend line.
Over all these, a strong buy hint is here.
HOW-TO Know This Chart Is EXTENDED? The Stock market overall is VERY extended
You might hear this term being used a lot these days.
For beginners, it could be a confusing thing.
In trading we like to time our entries. We don't want to buy something when its "too expensive"
In Chart terms, an expensive stock is one that has trend strongly for a period of time and showing signs of Exchaustion or Reversal
In this video I try to explain what makes a chart an "extended" or "Over Priced Stock"...
I use my Indicators and Chart pattern to answer this question.
Let's see how!!!
How To Successfully Trade The RSI IndicatorWelcome Traders!
In today's trading episode, you will learn how the RSI indicator works, and how to spot divergence. Divergence is a great indication to tell you if a trend might be reversing.
Take time to practice what you learned in today's video.
Until next time, have fun, and trade confident :)
Volume Indicators Masterclass Part 1VOLUME INDICATORS
Volume is one piece of information that is often neglected by many market players, especially beginners.
However, learning to interpret volume brings many advantages and could be of tremendous help when it comes to analyzing the markets. The usage of volume indicators has long been restricted to just the Forex Markets. Thereby in the Volume Indicator Masterclass, we will be looking in-depth for a few volume indicators.
Traders often use volume which measures the number of shares traded during a particular time period as a way to assess the significance of changes in a security’s price.
Traders rely on it as a key metric because it lets them know the liquidity level of an asset, and how easily they can get into or out of a position close to the current price, which can be a moving target.
Volume analysis is a technique used to determine the trades you will make by discovering the relationships between volume and prices. In order words, it shows how many times the security has been bought or sold over a given timeframe. The time frame can be one minute, four hours, one day, or anything.
The volume transacted in the given timeframe is represented as a bar, which can be color-coded. The color of the bar shows whether the security’s price closes up or down.
A green bar is generally used to show that the security closed higher during the trading session
A red bar is used to indicate that the security closed lower
The height of the bar shows whether there’s an increase or a decrease in the volume of the security transacted a taller bar shows a higher volume while a shorter bar shows a lower volume.
Trend Confirmation :
If the volume increase with an increase in price or with a decrease in price, it indicates a strong buying or selling pressure.
Trend Non-Confirmation :
If the volume decrease with an increase in price or with a decrease in price, it indicates a weak buying or selling pressure.
There are various Volume Indicators, out of which we will be discussing the Money Flow Index in this Masterclass.
Money Flow Index
The Money Flow Index (MFI) is an oscillator that uses both price and volume to measure buying and selling pressure.
The indicator is synonymous with “volume-weighted RSI” as it integrates volume and mirrors the relative strength index (RSI) with respect to its mathematical formulation and categorical classification as a momentum oscillator MFI.
Calculation of the Money Flow Index:
Typical Price: (High + Low + Close) / 3
Money Flow: Typical Price x Volume
Positive Money Flow: The Money Flow on days where the Typical Price is greater than the previous day’s Typical Price.
Negative Money Flow: The Money Flow on days where the Typical Price is less than the previous day’s Typical Price.
Money Flow Ratio: 14-Period Positive Money Flow / 14-Period Negative Money Flow
Money Flow Index: 100 Money Flow Ratio / (1 + Money Flow Ratio)
Signal Generation
BUY When Money Flow Index crosses up 20 i.e. from the oversold region
SELL When Money Flow Index crosses down 80 i.e. from the overbought region
There a lot of more interesting Volume Indicators that can be used, about which we'll be talking in the next Masterclass of Volume Indicator.
STAY TUNED!
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- Mudrex
Relative Strength Index Masterclass Part 1Relative Strenght Index(RSI)
RSI is a momentum oscillator, whereas the momentum is the rate of the rise or fall in price.
RSI is an oscillator ranging between two extremes, in the case of RSI, it ranges from 0 to 100.
The relative strength index is computed with: RSI = 100RS/(1+RS); where RS is relative strength.
RS= (Previous Average gain*13+Current gain)/(Previous Average loss*13+Current loss)
Relative Strength is a ratio of a stock price performance to a market average (index) performance.
RSI will rise as the number and size of positive close increases and will fall as the number and size of losses increase.
There are two terminologies for RSI:
Lookback period: The time frame that is used to calculate the relative strength, by default it is 14. A look-back period greater than 14 will give a smoother RSI signal while less than 14 will give a rough volatile RSI signal
Threshold Frequency: The oversold-overbought value ranges are the threshold frequency, default is 70-30 (which depend on various factors reasons such as risk factor), for eg. 80-20(less risk) and 66-33 (more risk)
RSI touching the overbought condition is a bearish sign (prices are likely to go down) while RSI attaining oversold condition is a bullish sign (prices are likely to increase)
There are many ways of using RSI as an indicator
Oversold-Overbought Region :
Oversold Region - The situation at which a lot of selling has happened and everyone who was willing to sell has sold, RSI value less than 30
Overbought Region - The situation at which a lot of buying has happened and everyone who was willing to buy has bought, RSI value greater than 70
In this, we have default values for the lookback period(14) and threshold frequency(70-30) which you can change according to your requirement and risk management.
A look-back period of more than 14 would be more interested in long term trend while less than 14 would be inclined towards short term trades. The look-back period can also be increased to smoothen out the RSI line.
A threshold of 80-20 (more-safer) or 66-33 (more-riskier) can be taken into consideration.
A Buy signal will be generated when RSI is less than 30 i.e. the oversold region while a Sell signal will be generated when RSI is greater than 70 i.e. overbought region.
50-Level RSI Midline
The overbought-oversold condition helps detect sudden changes in the momentum of price without providing much information about the overall trend of the market, therefore using the overbought-oversold strategy without getting information on the overall trend could be a bit risky.
Thus we use RSI with different timeframes and the threshold for trend information as well as signal generation.
In this we will have two different RSI:
A RSI with the look-back period of 20-days and 50-50 frequency, also called midline RSI. In an uptrend, this RSI is above 50 and below 50 for a downtrend.
A RSI with the look-back period of 5-days and 66-33 frequency, the look-back period is sufficiently low so that in a predominant trend, local maxima or minima can be used for generating buy or sell signal with the small look-back period RSI ensuring the signal is reactive to current price fluctuations.
Thereby, an uptrend is signaled if 20-RSI is greater than 50, with the buy signal being generated in the uptrend with 5-RSI in the oversold region while a downtrend is signaled if 20-RSI is less than 50, with the sell signal being generated in the downtrend with 5-RSI in the overbought region.
A buy signal is generated when 20-RSI is greater than 50 and 5-RSI is less than 33 while a sell signal is generated when 20-RSI is less than 50 and 5-RSI is greater than 66.
A lot more interesting things can be done using RSI, about which we'll be talking in the next Masterclass on RSI, STAY TUNED!
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- Mudrex
Overbought to Oversold - Keep It Simple, Stupid!After exploring the depths of profit taker heaven and stop loss hell, after combining many different indicators, finding correlations with momentum, trend, volatility, you name it... After trying to adjust the strategies to different assets, asset classes, market conditions... After finding out that each of these steps are way more difficult than I thought and will require much more rigor and a start from scratch...
I remembered the golden rule of strategy...
"Keep it simple, stupid!"
When others are buying like rabid dogs, you sell...
When others are selling like mad monkeys, you buy...
When others are greedy, you are fearful... When others are fearful, you are greedy...
So, we trade from overbought to oversold. No profit takers, no stop losses, no optimization for a specific stock or time frame or asset class, no correlation with other indicators... Just overbought to oversold.
Win rate of 90+%, profit factor of over 5.0, compared to holding the stock indefinitely with a loss of 80%.
Happy trading!