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Moving Averages

SWING TUTORIAL - ABSLAMCIn this tutorial, we analyze the stock NSE:ABSLAMC (Aditya Birla Sun Life AMC Limited) identifying a lucrative swing trading opportunity following its all-time high in Oct 2021. The stock declined by nearly 57%, forming a Lower Low Price Action Pattern, but subsequently reversed its trend. At the same time, we can also observe the MACD Level making a contradictory Pattern of Higher Lows. This Higher Low Pattern of the MACD signaled the start of a Bullish Momentum, thereby also signaling a good Buying Opportunity. The trading strategy yielded approximately 114% returns in 63 weeks. Technical analysis concepts used included price action analysis, MACD, momentum reversal, trend analysis and chart patterns. The MACD crossover served as the Entry Point, with the stock rising to its Swing High Levels of 720 and serving as our Exit too. As of wiring this tutorial, we can also notice how the stock is making a breakout and retest of the Swing High levels and trying to continue its momentum further upward trying to make a new All Time High. KEY OBSERVATIONS: 1. Momentum Reversal: The stock's price action shifted from a bearish to a bullish trend, indicating a potential reversal. 2. MACD Indicator: The Moving Average Convergence Divergence (MACD) line showed steady upward momentum, signaling increasing bullish pressure. 3. MACD Crossover: The successful crossover in May 2023 confirmed the bullish trend, creating an entry opportunity. TRADING STRATEGY AND RESULTS: 1. Entry Point: MACD crossover in May 2023. 2. Exit Point: Swing High Levels - 720. 3. Return: Approximately 114%. 4. Trade Duration: 63 weeks. TECHNICAL ANALYSIS CONCEPTS USED: 1. Price Action Analysis 2. MACD (Moving Average Convergence Divergence) 3. Momentum Reversal 4. Trend Analysis 5. Chart Patterns NOTE: This case study demonstrates the effectiveness of combining technical indicators to identify bullish momentum. By recognizing Price Action, MACD movements, and Reversal patterns, traders can pinpoint potential entry and exit points. Would you like to explore more technical analysis concepts or case studies? Share your feedback and suggestions in the comments section below.
NSE:ABSLAMCEducation
by thepranam
Moving average crossover strategy by Cripto SolutionsI have been working with the crossover strategy for some time, I have been doing backtesting and I have been surprised by the level of success that they leave me with when it comes to putting it into practice. It is simply based on looking for where we have moving average crossovers, which are areas where The price ALWAYS has a reaction no matter how the movement comes. If it is going up it reacts downwards, if it is falling it reacts downwards. I have an operation precision level of more than 97% and with SL that does not exceed 1%, reducing unnecessary risks. The ideal is to identify the crossings from highest to lowest temporality, (Weekly, daily and 4H) smaller temporalities to polish the entries well. Put it into practice, you will never use an indicator other than the EMAs (5,20,200)
Editors' picks
Education
by CriptoSolutions
9
Daily ATR 2 and 10 Percent Values indicator for stop lossThis indicator displays three values: the ATR value, a 2% value and a 10% value of the Daily ATR. After adding the indicator to your chart, follow these steps to view the values and labels on the right: 1. Right-click on the price level bar or click the gear icon at the bottom of the price bar. 2. Select "LABELS." 3. Check mark the boxes for the following options: - "INDICATORS AND FINANCIAL NAME LABELS" - "INDICATORS AND FINANCIAL VALUE LABELS." 4. Look for D-ATR % Value, click on the gear icon and verify these settings D-ATR Lenght = 14 ATR Lenght = 14 Smoothing = RMA Timeframe = 1 Day 5. Select Wait for timeframe closes 6. Click on Defaults, Save as default, and click ok. You can move the indicator to the top of your chart if preferred, by clicking on Move pane up. Please keep the following in mind: when you scroll to the left of the chart if the indicator appears transparent, as shown in this image, it means you are not viewing the most recent values, likely because you are not at the end of the chart. To obtain the latest data, either click this button or this other one to reset the chart view or scroll to the end of the chart.
NYSE:MAEducation
by TraderMrE
SWING TUTORIAL - ICICIPRULIIn this tutorial, we analyze the stock NSE:ICICIPRULI (ICICI Prudential Life Insurance Company Limited) identifying a lucrative swing trading opportunity following its all-time high in Sep 2021. The stock declined by nearly 50%, forming a Lower Low Price Action Pattern, but subsequently reversed its trend. At the same time, we can also observe the MACD Level making a contradictory Pattern of Higher Lows. This Higher Low Pattern of the MACD signaled the start of a Bullish Momentum, thereby also signaling a good Buying Opportunity. The trading strategy yielded approximately 88% returns in 71 weeks. Technical analysis concepts used included price action analysis, MACD, momentum reversal, trend analysis and chart patterns. The MACD crossover served as the Entry Point, with the stock rising to its Swing High Levels of 724 and serving as our Exit too. As of wiring this tutorial, we can also notice how the stock is making a breakout and retest of the Swing High levels and trying to continue its momentum further upward trying to make a new All Time High. KEY OBSERVATIONS: 1. Momentum Reversal: The stock's price action shifted from a bearish to a bullish trend, indicating a potential reversal. 2. MACD Indicator: The Moving Average Convergence Divergence (MACD) line showed steady upward momentum, signaling increasing bullish pressure. 3. MACD Crossover: The successful crossover in March 2023 confirmed the bullish trend, creating an entry opportunity. TRADING STRATEGY AND RESULTS: 1. Entry Point: MACD crossover in March 2023. 2. Exit Point: Swing High Levels - 724. 3. Return: Approximately 88%. 4. Trade Duration: 71 weeks. TECHNICAL ANALYSIS CONCEPTS USED: 1. Price Action Analysis 2. MACD (Moving Average Convergence Divergence) 3. Momentum Reversal 4. Trend Analysis 5. Chart Patterns NOTE: This case study demonstrates the effectiveness of combining technical indicators to identify bullish momentum. By recognizing Price Action, MACD movements, and Reversal patterns, traders can pinpoint potential entry and exit points. Would you like to explore more technical analysis concepts or case studies? Share your feedback and suggestions in the comments section below.
NSE:ICICIPRULIEducation
by thepranam
What is Divergence?Divergence in trading occurs when the price of an asset moves in the opposite direction of a technical indicator. This mismatch indicates that the momentum behind the price action may be weakening, often suggesting a potential reversal. By learning to spot divergence, traders can anticipate market changes, either as a reversal in trend (regular divergence) or a trend continuation (hidden divergence). Types of Divergence Regular Divergence Hidden Divergence 1. Regular Divergence Regular divergence is a classic form that suggests a potential trend reversal. It happens when the price action and an oscillator (like RSI or MACD) display conflicting information, often indicating that the current trend may be losing strength. Types of Regular Divergence: Bullish Regular Divergence: Occurs when the price makes lower lows, but the indicator makes higher lows. This suggests a potential reversal to the upside as the selling momentum weakens. Bearish Regular Divergence: Occurs when the price makes higher highs, but the indicator forms lower highs. This indicates potential downside momentum, often preceding a downtrend. How to Identify Regular Divergence: Use an oscillator such as the RSI, MACD, or stochastic indicator. Look for situations where the price action forms new highs or lows, while the oscillator forms opposite lows or highs. Confirm the trend by observing the price trendlines to determine the type of regular divergence (bullish or bearish). Trading Regular Divergence: Bullish Regular Divergence: When you identify bullish regular divergence, consider entering a long position once the price shows signs of reversal, like a bullish engulfing candle or another bullish reversal pattern. Bearish Regular Divergence: For bearish regular divergence, a short position may be taken once you confirm a bearish reversal pattern, such as a bearish engulfing candle or shooting star formation. Example: If the price of a stock is making higher highs but the RSI is making lower highs, this is a bearish regular divergence. You could consider shorting the asset or closing long positions as a precaution, anticipating a potential trend reversal. 2. Hidden Divergence Hidden divergence indicates potential trend continuation. It suggests that although there may be a pullback, the primary trend will likely resume. Types of Hidden Divergence: Bullish Hidden Divergence: Occurs when the price forms higher lows, but the indicator makes lower lows. This pattern signals that the uptrend is likely to continue. Bearish Hidden Divergence: Occurs when the price makes lower highs, but the oscillator makes higher highs, indicating a potential continuation of a downtrend. How to Identify Hidden Divergence: Observe the trend direction of the price. Hidden divergence typically appears during pullbacks in a strong trend. Use the oscillator (RSI, MACD, etc.) and compare the highs and lows formed by both the price and indicator. Confirm the pattern: if the price and indicator form opposing highs or lows, it may indicate hidden divergence. Trading Hidden Divergence: Bullish Hidden Divergence: Enter a long position after identifying bullish hidden divergence, especially if the primary trend is upwards and the oscillator is showing a lower low. Bearish Hidden Divergence: A short position can be considered when bearish hidden divergence is identified, and the primary trend is downwards, with the oscillator showing a higher high. Example: Suppose an asset’s price makes higher lows in an uptrend, but the RSI makes lower lows. This indicates bullish hidden divergence, suggesting that the pullback might end, and the uptrend is likely to continue. Enter a long position, placing a stop loss below the recent swing low to manage risk. Indicators Used for Identifying Divergence Relative Strength Index (RSI): RSI measures the strength and speed of price movement, making it ideal for identifying overbought and oversold conditions. Moving Average Convergence Divergence (MACD): MACD tracks the difference between two moving averages of the price and can be used to detect shifts in momentum. Stochastic Oscillator: This oscillator helps detect potential turning points by comparing the closing price to the range over a set period. Each of these indicators helps identify divergence differently. For example: If RSI or Stochastic is diverging from price action, it may indicate that momentum is waning. MACD can be useful to spot both regular and hidden divergences, especially on larger timeframes. How to Trade Divergence Confirm Divergence: Use divergence to identify a potential reversal or continuation pattern, but confirm it with additional signals such as candlestick patterns or volume analysis. Set Entry Points: Wait for a price action signal (e.g., a candlestick pattern) in the direction indicated by the divergence. A bullish divergence might signal a buying opportunity after a bullish candlestick, while a bearish divergence could indicate a selling opportunity after a bearish pattern. Use Stop Loss Orders: Place a stop loss slightly below or above recent highs or lows to manage risk. For example, in bullish divergence, place a stop loss below the swing low to protect against downside risk. Set Profit Targets: Use support and resistance levels, Fibonacci retracement levels, or moving averages to set profit targets. Tips for Successful Divergence Trading Combine with Other Indicators: Use moving averages or trendlines to confirm the overall trend direction. Choose Longer Timeframes for Stronger Signals: Divergence on longer timeframes (e.g., daily or weekly) tends to produce stronger signals than shorter timeframes (e.g., 15-minute or hourly). Don’t Trade Divergence in Choppy Markets: Divergence is more effective in trending markets. Avoid using divergence in low-volume or range-bound conditions, as it could result in false signals. Stay Aware of False Signals: Not all divergences result in profitable trades. Always use risk management tools, such as stop losses and position sizing, to minimize potential losses. Hope you enjoyed the content I created, You can support with your likes and comments this idea so more people can watch! ✅Disclaimer: Please be aware of the risks involved in trading. This idea was made for educational purposes only not for financial Investment Purposes. --- • Look at my ideas about interesting altcoins in the related section down below ↓ • For more ideas please hit "Like" and "Follow"!
Education
by Crypto4light
SWING TUTORIAL - MFSLIn this tutorial, we analyze the stock NSE:MFSL (MAX FINANCIAL SERV LTD) identifying a lucrative swing trading opportunity following its all-time high in July 2021. The stock declined by nearly 50%, forming a Lower Low Price Action Pattern, but subsequently reversed its trend. At the same time, we can also observe the MACD Level making a contradictory Pattern of Higher Highs. This Higher High Pattern of the MACD signaled the start of a Bullish Momentum, thereby also signaling a good Buying Opportunity. The trading strategy yielded approximately 80% returns in 71 weeks. Technical analysis concepts used included price action analysis, MACD, momentum reversal, trend analysis and chart patterns. The MACD crossover served as the Entry Point, with the stock rising to its Swing High Levels of 1148 and serving as our Exit too. As of wiring this tutorial, we can also notice how the stock is making a breakout and retest of the Swing High levels and trying to continue its momentum further upward trying to make a new All Time High. KEY OBSERVATIONS: 1. Momentum Reversal: The stock's price action shifted from a bearish to a bullish trend, indicating a potential reversal. 2. MACD Indicator: The Moving Average Convergence Divergence (MACD) line showed steady upward momentum, signaling increasing bullish pressure. 3. MACD Crossover: The successful crossover in May 2023 confirmed the bullish trend, creating an entry opportunity. TRADING STRATEGY AND RESULTS: 1. Entry Point: MACD crossover in May 2023. 2. Exit Point: Swing High Levels - 1148. 3. Return: Approximately 80%. 4. Trade Duration: 71 weeks. NOTE: This case study demonstrates the effectiveness of combining technical indicators to identify bullish momentum. By recognizing Price Action, MACD movements, and Reversal patterns, traders can pinpoint potential entry and exit points. Would you like to explore more technical analysis concepts or case studies? Share your feedback and suggestions in the comments section below.
NSE:MFSLEducation
by thepranam
SWING TUTORIAL - RALLISIn this tutorial, we analyzes the reversal of NSE:RALLIS 's 50% decline, identifying key technical indicators that signaled a buying opportunity. We'll explore how to recognize bullish momentum and optimal entry points using chart analysis. NSE:RALLIS reached its all-time high at 362 before experiencing a significant downturn. However, the stock began forming support levels near 200 in June 2022 and retested this level again in May 2023. Key Observations: 1. Support Levels: The stock consistently found support at ₹200, indicating a potential reversal. 2. MACD Indicator: The Moving Average Convergence Divergence (MACD) line showed steady upward momentum, signaling increasing bullish pressure. 3. MACD Crossover: The successful crossover in June 2023 confirmed the bullish trend, creating an entry opportunity. Trading Strategy and Results: Based on this analysis, our entry point was established at the MACD crossover. The stock subsequently rose to its swing high levels, yielding approximately 85% returns in just 57 weeks. Note: This case study demonstrates the effectiveness of combining technical indicators to identify bullish momentum. By recognizing support levels, MACD movements, and consolidation patterns, traders can pinpoint potential entry points. Would you like to explore more technical analysis concepts or case studies? Share your feedback and suggestions in the comments section below.
NSE:RALLISEducation
by thepranam
11
New strategy based on 50/200 EMASaw this strategy on Reddit and tweaked some things to what I am showing to you now with a 80-85% win rate. You wait for the 50 EMA to cross over the 200 EMA either the same day or post/pre market before. After the crossover, you wait for the pullback and when a wick hits the 50 EMA and reverses, you enter a long trade until either the trading day is over or the RSI shows overbought. Anybody have any changes that would make it better or that I’m missing? I’ve noticed it works best on 15m.
NASDAQ:AAPLEducation
by bengoesballistic
Mastering Moving AveragesMastering Moving Averages: A Statistical Approach to Enhancing Your Trading Strategy Moving averages (MAs) are one of the most popular tools used by traders and investors to smooth out price data and identify trends in the financial markets. While they may seem simple on the surface, moving averages are rooted in statistical analysis and offer powerful insights into price behavior over time. In this article, we will break down the concept of moving averages from a statistical viewpoint, explore different types of MAs and their benefits, and discuss how they can be effectively used in trading and market analysis. ⯁What is a Moving Average from a Statistical Standpoint? A moving average is a statistical calculation that smooths out data points by creating a series of averages over a specific period. In trading, it is applied to price data, where it helps remove short-term fluctuations and highlight longer-term trends. The core idea behind a moving average is to capture the central tendency of a price over time, providing a clearer picture of the market’s overall direction. By averaging the price over a period, it helps traders see the general trend without being distracted by the noise of daily market volatility. Mathematically, a simple moving average (SMA) can be expressed as: SMA = (P1 + P2 + ... + Pn) / n Where: P1, P2, ..., Pn represent the price points for each period. n represents the number of periods over which the average is taken. The moving average "moves" because as new prices are added to the calculation, older prices drop off, creating a rolling average that continually updates. Types of Moving Averages and How They Are Calculated Different types of moving averages use varying methods to calculate the average, each offering a unique perspective on price trends. Simple Moving Average (SMA) : The SMA is the most basic type of moving average and is calculated by taking the arithmetic mean of the prices over a specified period. Every data point within the period carries equal weight. SMA = (P1 + P2 + ... + Pn) / n For example, a 5-day SMA of a stock’s closing prices would be the sum of the last five closing prices divided by 5. Exponential Moving Average (EMA) : The EMA gives more weight to recent price data, making it more responsive to price changes. The EMA calculation involves a smoothing factor (also called the multiplier) that increases the weight of the most recent prices. The formula for the multiplier is: //Where n is the number of periods. The EMA calculation follows: Multiplier = 2 / (n + 1) EMA = (Closing price - Previous EMA) × Multiplier + Previous EMA For example, for a 10-period EMA, the multiplier would be 2 / (10 + 1) = 0.1818. This value is then applied to smooth the recent prices more aggressively. Weighted Moving Average (WMA) : The WMA assigns different weights to each data point in the series, with more recent data given greater weight. The formula for WMA is: WMA = (P1 × 1 + P2 × 2 + ... + Pn × n) / (1 + 2 + ... + n) Where n is the number of periods. Each price is multiplied by its period's number (most recent data gets the highest weight), and then the total is divided by the sum of the weights. For example, a 3-period WMA would assign a weight of 3 to the most recent price, 2 to the price before that, and 1 to the earliest price in the period. Smoothed Moving Average (SMMA) : The SMMA is similar to the EMA but smooths the price data more gradually, making it less sensitive to short-term fluctuations. The SMMA is calculated using this formula: SMMA = (Previous SMMA × (n - 1) + Current Price) / n Where n is the number of periods. The first period's SMMA is an SMA, and subsequent SMMAs apply the formula to smooth the prices more gradually than the EMA. ⯁Comparing Benefits of Different MAs SMA : Best for identifying long-term trends due to its stability but can be slow to react. EMA : More sensitive to recent price action, making it valuable for shorter-term traders looking for quicker signals. WMA : Offers a middle ground between the EMA’s sensitivity and the SMA’s stability, good for balanced strategies. SMMA : Ideal for longer-term traders who prefer a smoother, less reactive average to reduce noise in the trend. ⯁How to Use Moving Averages in Trading Moving averages can be used in several ways to enhance trading strategies and provide valuable insights into market trends. Here are some of the most common ways they are utilized: 1. Identifying Trend Direction One of the primary uses of moving averages is to identify the direction of the trend. If the price is consistently above a moving average, the market is generally considered to be in an uptrend. Conversely, if the price is below the moving average, it signals a downtrend. By applying different moving averages (e.g., 50-day and 200-day), traders can distinguish between short-term and long-term trends. 2. Crossovers Moving average crossovers are a popular method for generating trading signals. A "bullish crossover" occurs when a shorter-term moving average (e.g., 50-day) crosses above a longer-term moving average (e.g., 200-day), signaling that the trend is turning upward. A "bearish crossover" happens when the shorter-term average crosses below the longer-term average, indicating a downtrend. 3. Dynamic Support and Resistance Levels Moving averages can also act as dynamic support or resistance levels. In an uptrend, the price may pull back to a moving average and then bounce off it, continuing the upward trend. In this case, the moving average acts as support. Similarly, in a downtrend, a moving average can act as resistance. 4. Filtering Market Noise Moving averages are also used to filter out short-term price fluctuations or "noise" in the market. By averaging out price movements over a set period, they help traders focus on the more important trend and avoid reacting to insignificant price changes. 5. Combining with Other Indicators Moving averages are often combined with other indicators, such as the Relative Strength Index (RSI) or MACD, to provide additional confirmation for trades. For example, close above of two moving averages, combined with an RSI above 50, can be a stronger signal to buy than either indicator used on its own. ⯁Using Moving Averages for Market Analysis Moving averages are not just for individual trades; they can also provide valuable insight into broader market trends. Traders and investors use moving averages to gauge the overall market sentiment. For example, if a major index like the S&P 500 is trading above its 200-day moving average, it is often considered a sign of a strong market. On the contrary, if the index breaks below its 200-day moving average, it can signal potential weakness ahead. This is why long-term investors pay close attention to moving averages as part of their overall market analysis. ⯁Conclusion Moving averages are simple yet powerful tools that can provide invaluable insights for traders and investors alike. Whether you are identifying trends, using crossovers for trade signals, or analyzing market sentiment, mastering the different types of moving averages and understanding how they work can significantly enhance your trading strategy. By integrating moving averages into your analysis, you’ll gain a clearer understanding of the market’s direction and have the tools necessary to make more informed trading decisions.
Education
by ChartPrime
3
SWING TUTORIAL - PODDARMENTIn this tutorial, we analyzes the reversal of NSE:PODDARMENT 's 50% decline, identifying key technical indicators that signaled a buying opportunity. We'll explore how to recognize bullish momentum and optimal entry points using chart analysis. NSE:PODDARMENT reached its all-time high before experiencing a significant downturn. However, the stock began forming support levels at 250 in June 2023 and repeatedly retested this level until June 2024. Key Observations: 1. Support Levels: The stock consistently found support at ₹250, indicating a potential reversal. 2. MACD Indicator: The Moving Average Convergence Divergence (MACD) line showed steady upward momentum, signaling increasing bullish pressure. 3. Consolidation: Price action demonstrated a consolidation phase, forming a strong support zone. 4. MACD Crossover: The successful crossover in June 2024 confirmed the bullish trend, creating an entry opportunity. Trading Strategy and Results: Based on this analysis, our entry point was established at the MACD crossover. The stock subsequently rose to its swing high levels, yielding approximately 67% returns. Note: This case study demonstrates the effectiveness of combining technical indicators to identify bullish momentum. By recognizing support levels, MACD movements, and consolidation patterns, traders can pinpoint potential entry points. Would you like to explore more technical analysis concepts or case studies? Share your feedback and suggestions in the comments section below.
NSE:PODDARMENTEducation
by thepranam
Understanding the Renko Bricks (Educational Article)Today we are going to study a chart which is called a Renko chart. Renko chart is a chart which is typically used to study price movement. I use Renko chart many times to determine supports and resistnace. I find it easy and accurate way of determining supports and resistances. The word Renko is derived from Japanese word renga. Renga means brick. As you can see in the chart below it shows a kind of Brick formation. The brick size is determined wither by the user and mostly it depends of typical average movement on the stock historically. A new brick is formed once the price moves upwards on downwards in the same proportion or ratio of the typical brick. New brick is only added post the price moves in that particular proportion. A new brick might not be added in months if the price movement is not as per the ratio. At the same time a new brick might be added in a day or few bricks in a week is price moves accordingly. We will try to understand this concept further by looking at the chart in the post. We have used the chart of Reliance industries to understand this concept and concept only. Please do not consider this buy or sell call for the stock. As you can see in the above chart I have used a combination of RSI, EMA (50 and 200 days) and Bollinger band strategy. RSI support for Reliance is at 35.89 with current RSI at 40.13. Bollinger band suggests that support might be round the corner for the stock. The peaks from previous tops are used to find out further supports and resistances. Mid Bollinger band level and Bollinger band top level coincide with other pervious tops making them tough resistance when the price moves upwards. Mother line EMA is a resistance now and Father line EMA support is far away. All these factors indicate the support zones for the stock to be around 2736, 2657, 2601 and 2561 in the near term. Resistance for Reliance seem to be at 2814, 2972, 3006, 3048 and 3202 levels. Let me give a disclaimer again. The above data is for analysis purpose and to understand Bollinger band, RSI, effect of EMA and Renko Bricks only. Please do not trade based on the information provided here as it is just for understanding Renko charts. Disclaimer: There is a chance of biases including confirmation bias, information bias, halo effect and anchoring bias in this write-up. Investment in stocks, derivatives and mutual funds is subject to market risk please consult your investment advisor before taking financial decisions. The data, chart or any other information provided above is for the purpose of analysis and is purely educational in nature. They are not recommendations of any kind. We will not be responsible for Profit or loss due to descision taken based on this article. The names of the stocks or index levels mentioned if any in the article are for the purpose of education and analysis only. Purpose of this article is educational. Please do not consider this as a recommendation of any sorts.
NSE:RELIANCEEducation
by Happy_Candles_Investment
SWING TUTORIAL - TECHMIn this tutorial, we try to understand how and why the stock NSE:TECHM started going upward and how we can find the best entry while reading charts. The stock had started forming a Support at 1000 levels at June 2022 and since been retesting the same level again up to April 2023. During the same time we can observe how the MACD levels consistently kept moving upwards. This indicated that momentum was gaining and it slowly starting to turn bullish. Once the MACD finally made a successful crossover after close to 52 weeks in April 2023, this is where our Entry got created. Eventually slowly making its way right up to the Swing High levels. This trade is still in play and will probably retest its Swing High levels in the coming weeks. And if the MACD line and signal are still as split away from each other as they are on the monthly timeframe, this could also breakout from the Swing High levels and going all the way further. What do you think about this Tutorial? Would you like to more such Tutorials in the future? Give your comments in the Comments Section below:
NSE:TECHMEducation
by thepranam
The SAFEST Entry Technique - 18 Period Moving Average MethodA great deal of viewers have contacted me asking how I "time" the market. In other words, once I've identified a market as "set up" (via COT strategy or Valuation Strategy), how do I get into a trade. This video is the first in a series that will outline the entry techniques that I use. 18 PERIOD MOVING AVERAGE ENTRY METHOD: By far, this method is the safest change of trend confirmation that you will find. There are other entry techniques that will get you into the market sooner, sure. But those other entry techniques come with greater risk, and could be called "bottom picking" to some degree. The 18 Period MA Entry Method is simple. STEP 1: Plot the 18 period SMA on your chart based on the closing price. STEP 2: For LONGS , you need to see two full range candles form ABOVE the MA. From there, mark out the highest high of those 2 candles. When price trades up into that high, the trend has officially changed to bullish. For SHORTS , you need to see to full range candles form BELOW the MA. From there, mark out the lowest low of those 2 candles. When price trades down into that low, the trend has officially changed to bearish. CAVEAT: We do not count inside bars (bars that form within the range of the previous candle). If you see inside bars, skip them and continue your 2 bar count. STEP 3: Enter at market when high/low is breached. Risk management is something I will review in another video, but generally, I add/subtract 120%-150% of the 3 bar ATR. CLARIFICATION: To be clear, this entry technique should not be traded blindly. You need to have a REASON to take the trade (for example, COT strategy suggests a market is setup for a trade, or the Valuation/Ducks in a Barrel setup suggests a market is setup for a trade). CREDIT: I credit Larry Williams, Tom DeMark, Brian Schad & Jake Bernstein for their influence in these ideas. If you have any questions about this entry technique, feel free to shoot me a message. Good Luck & Good Trading.
Education
by Tradius_Trades
2
How to ride trend and exit positions using Shlionz MAsBuy Signal: Trend Start: Buy when EMA 50 crosses above EMA 200. Pullback Entry: Buy when the price pulls back to MidBB or EMA 50 in an uptrend, with WMA 10 crossing above MidBB. Confirmation: EMA 5 crossing above EMA 10 (WMA 10) can serve as additional confirmation for entry. Sell Signal: Trend Reversal: Sell when EMA 50 crosses below EMA 200. Pullback Exit: Sell if WMA 10 crosses below MidBB or EMA 50 after a pullback. Confirmation: EMA 5 crossing below EMA 10 (WMA 10) can signal a potential exit or further downside. Risk Management: Stop-Loss: Below MidBB or EMA 50. Take-Profit: At key resistance levels or based on a risk-to-reward ratio. Implementation Summary. Buy Entry: EMA 50 crosses above EMA 200. Price pulls back to MidBB or EMA 50. WMA 10 crosses above MidBB. EMA 5 crosses above WMA 10 for confirmation. Sell Exit: EMA 50 crosses below EMA 200. Price closes below WMA 10 and MidBB. EMA 5 crosses below WMA 10 for confirmation. Incorporating EMA 5 adds a faster-moving element to your strategy, helping you to react more quickly to short-term changes and providing additional confirmation signals.
COMEX:GC1!Education
by shlionz
A Guide on How to Stay on the Right Side of Market RiskStaying on the right side of the market is the only thing that matters in investing. The goal is simple: be long the things that go up and avoid the things that go down. Although this sounds straightforward, investors often focus too much on the upside potential and forget about the downside. In reality, avoiding the downside is by far the most important factor that will have the biggest impact on your total returns. This is because a -50% loss will always require a +100% gain just to break even. Step 1: Follow the Trend The most effective method to stay on the right side of the market is by following the trend, primarily through moving averages. The two most common types are the Simple Moving Average (SMA) and the Exponential Moving Average (EMA). The EMA assigns more weight to recent price movements, making it more responsive and effective for signalling the start of a downtrend, while the SMA offers a clearer view of the longer-term trend. The simplest way to construct a trend-following indicator is to combine a short-term EMA with a long-term EMA. A buying signal is triggered when the short-term EMA crosses above the long-term EMA, and a selling signal is triggered when it crosses below. This systematic approach ensures clear and actionable signals. Optimizing this strategy involves backtesting various EMA combinations to strike a balance between minimal trading frequency, lowest maximum drawdown, and highest profit factor. It’s also crucial to select assets that have historically adhered to trends, as these are more likely to continue doing so. Assets that typically adhere to trends, such as cryptocurrencies, fiat currencies, commodities, and tech stocks, are often driven by speculative or uncertain future expectations. By incorporating a longer-term SMA and adding a safety margin to the calculation, you can help minimize false signals from the EMAs. It’s advisable to compare asset performance not only against the USD pair but also against the safest investable asset in the selected asset class. This comparison helps determine if the additional risk is worth taking. Step 2: Draw the Lines Trend-following strategies are effective only with a clear market trend. Without it, prices may exhibit range-bound movements and generate false signals. Drawing trend lines and identifying horizontal support and resistance levels are crucial for enhancing the accuracy of these signals. The most reliable entry points typically follow a confirmed breakout from these lines, with older lines often indicating more significant breakouts. When drawing trend lines, it’s crucial to use both normal and logarithmic chart scales. The most reliable trend lines appear consistent across these scales, with a breakout observed on both further confirming the trend. Additionally, identifying reliable patterns like head and shoulders, inverse head and shoulders or double tops and bottoms can further validate trend breakouts. TradingView’s pattern recognition tools can automate this process and provide price targets, which can be helpful but are not always guaranteed. Step 3: Understand the Macro Following current macroeconomic conditions can enhance your understanding of the overall business cycle. The primary macro forces that influence asset markets are growth, inflation, and policy. These factors are subjective and not directly quantifiable, making them unsuitable for direct investment decisions. However, they are useful for assessing the market’s risk appetite, which should influence only your position size and not your systematic approach. The US Composite Leading Indicator (CLI) is one of the most informative macroeconomic indicators, providing insights into potential economic growth trends and helping anticipate inflections in the business cycle. Monitoring the US inflation and unemployment rates is also beneficial, as they significantly influence monetary policy. While minor fluctuations may not provide much insight, sustained trends that align with the Federal Reserve’s targets of 2% inflation and low unemployment are indicative of a healthy economy. Furthermore, tracking global liquidity can reveal the real-time effects of monetary and fiscal policies implemented by major central banks and governments. This serves as a valuable tool to assess the market’s risk appetite. In conclusion, this guide helps investors stay on the right side of the market by adopting a systematic approach that captures bull markets while avoiding major downturns. Recognizing that the future is unpredictable and that markets are driven by momentum, this method can both preserve and grow your wealth in a less stressful way. A disciplined, systematic approach, executed dispassionately, is essential for navigating market uncertainties. All indicators discussed are publicly available or can be accessed on my profile. Disclaimer: This article is for informational and educational purposes only and should not be construed as investment advice.
Editors' picks
NASDAQ:NVDAEducation
by ingeforberg
5
Navigating the Waves: Elliott Wave Theory and Key IndicatorsEducational Technical Analysis on example chart of UFO Moviez India Elliott Wave Analysis and Key Moving Averages Disclaimer This study is for educational purposes only and does not constitute trading or investment advice. The analysis presented focuses on one potential scenario based on Elliott Wave Theory and other technical indicators. Trading and investing involve substantial risk, and individuals should consult a financial advisor before making any decisions. Introduction to Elliott Wave Theory Elliott Wave Theory is a form of technical analysis that traders use to analyze financial market cycles and forecast market trends by identifying extremes in investor psychology, highs and lows in prices, and other collective activities. The theory posits that stock prices move in predictable patterns or "waves" based on investor sentiment. Principles of Elliott Wave Theory 1. Wave Patterns: According to Elliott, market prices move in five waves in the direction of the main trend (impulse waves) and three waves in a correction against the main trend (corrective waves). 2. Wave Degrees: Waves are fractal in nature, meaning that smaller waves form part of larger waves, and this pattern repeats on all time frames. 3. Wave Characteristics: - Wave 1: Usually the smallest impulse wave. - Wave 2: Corrects Wave 1 but does not exceed its starting point. - Wave 3: Typically the strongest and longest wave. - Wave 4: Corrective wave that is usually less severe. - Wave 5: Final leg in the direction of the main trend. Current Analysis of example chart of UFO Moviez India Based on the chart and Elliott Wave Theory, UFO Moviez India is currently suggesting an impulsive and momentum-driven 3rd of the 3rd wave ahead, with an invalidation level at 106. Key Observations: 1. Wave Count: - Wave (1): An initial 5-wave impulse has completed. - Wave (2): A corrective ABC pattern. - Wave (3): Currently unfolding with sub-waves i, ii, iii, iv, and v marked. - Wave 3: In the larger context is forming. 2. Breakout: - There is a breakout above the downward trendline with good volumes, indicating strong bullish momentum. 3. Key Moving Averages: - Price Trading Above: - 50 EMA, 100 EMA, and 200 EMA - 50 WEMA, 100 WEMA, and 200 WEMA - Crossed above 20 MMA Technical Indicators and Levels - Price: 148.54 INR (as of the latest close) - Support Levels: - Nearest Invalidation Level: 106 INR - Major Support: 57.20 INR - Resistance Levels: - Immediate Target: 175.58 INR (Wave 1 of larger degree) - Fibonacci Extension Target: 220.51 INR (1.618 extension of Wave 1) Conclusion The Elliott Wave analysis of example chart of UFO Moviez India indicates a potentially strong bullish trend as the stock is in the 3rd wave of a larger impulse. The breakout above the trendline with significant volume further supports this bullish outlook. However, it is crucial to monitor the invalidation level at 106 INR, as a break below this level could invalidate the current wave count and suggest a different scenario. Educational Purpose Notice This analysis is provided for educational purposes only. It is not an investment or trading advice or tip. Trading and investing in financial markets involve risk, and it is important to do thorough research and consult with a financial advisor before making any investment decisions. I am not Sebi registered analyst. My studies are for educational purpose only. Please Consult your financial advisor before trading or investing. I am not responsible for any kinds of your profits and your losses. Most investors treat trading as a hobby because they have a full-time job doing something else. However, If you treat trading like a business, it will pay you like a business. If you treat like a hobby, hobbies don't pay, they cost you...! Hope this post is helpful to community Thanks RK💕 Disclaimer and Risk Warning. The analysis and discussion provided on in.tradingview.com is intended for educational purposes only and should not be relied upon for trading decisions. RK_Charts is not an investment adviser and the information provided here should not be taken as professional investment advice. Before buying or selling any investments, securities, or precious metals, it is recommended that you conduct your own due diligence. RK_Charts does not share in your profits and will not take responsibility for any losses you may incur. So Please Consult your financial advisor before trading or investing.
NSE:UFOEducation
by RK_Chaarts
2
5 tips for building a professional trading mindsetHey traders Building a professional trading mindset is crucial for success in the forex market. Here are five tips to help develop and maintain a professional approach: 1 . Develop Discipline and Patience: Stick to a Trading Plan: Develop a detailed trading plan that outlines your strategies, risk management rules, and goals. Adhere to this plan consistently to avoid impulsive decisions. Be Patient: Understand that success in trading doesn't happen overnight. Be patient and wait for the right trading opportunities that align with your plan. 2 . Embrace Continuous Learning: Stay Informed: Keep up-to-date with market news, economic indicators, and geopolitical events that can impact the forex market. Learn from Mistakes: Analyse your trades, both successful and unsuccessful, to identify what worked and what didn’t. Use this knowledge to improve your strategies. 3 .Manage Emotions: Stay Calm Under Pressure: Trading can be stressful, especially during volatile market conditions. Practice techniques to manage stress and maintain a clear, focused mind. Avoid Overtrading: Don’t let emotions drive you to overtrade. Stick to your trading plan and avoid chasing losses or getting overly greedy after wins. 4 . Implement Strong Risk Management: Use Stop-Loss Orders: Protect your capital by setting stop-loss orders to limit potential losses on each trade. Diversify Trades: Avoid putting all your capital into a single trade. Diversify your trades to spread risk across different currency pairs or financial instruments. 5 . Set Realistic Goals and Expectations: Define Clear Objectives: Set specific, measurable, achievable, relevant, and time-bound (SMART) goals for your trading activities. Understand the Learning Curve: Recognise that becoming a successful trader takes time and effort. Set realistic expectations regarding your progress and returns. By incorporating these tips into your trading routine, you can build a professional mindset that enhances your decision-making, improves your performance, and increases your chances of long-term success in forex trading.
Education
by Costy13
6
How to use Moving Averages like a proIn this video I describe how I use Moving Averages to trade and to stay in sync with the market. Popular Moving averages include the 9, 21, 50, or 200. Feel free to use Simple Moving averages or Exponential moving averages, both works fine, and I like to use the EMAs because they are a little quicker to respond to price movement. I also go over a trading strategy for going long or short in the market once the 50 EMA starts to change directions, I will take a position in that direction. So, if the 50 EMA goes down for a long time, I will take a long once it starts to point up. Thank you for watching!
NASDAQ:QQQEducation
by PappyTrading
You are (probably) using MAs wrongWhen it comes to moving averages, people tend to forget what they are. A moving average is just as the name suggests - an average of the chosen number of candles that moves (once a new candle prints). I know it seems obvious to most, but why then, when it comes to lengths we seem to be so confused about it? When choosing the length of a MA - what do you look for? "Magical" Fibonacci Numbers? Most common length 200, because you were told that's what everyone uses? But let's thing about it for a second. What is an EMA200, for example? It's an exponentially weighted average of the past 200 candles. So why would it be so "important"? MA200, if you're on a 15-minute timeframe represents two hundred 15-minute candles, or, in different words - an average price of the past 50 hours. MA200 on a 5-minute timeframe represents two-hundred 5-minute candles, which equals to about 16 and a half hours. Is there anything special about the average price of the past 16.5 hours? Of course not. The way moving averages should be looked at, in my humble opinion is by using them to look at an average price of the past periods that actually matter. Periods like Daily, Weekly, Monthly. If you're a scalper who trades 1-minute charts, perhaps you want to know what the average price of the past 15 minutes, 1 hour and 4 hours is. To do that you would divide 15 by 1, giving you MA length of 15 representing the average price of the past 15 minutes. If you're a day trader, like me, who loves trading 5 and 15-minute timeframes, I want to know the average prices of the past hour, 4 hours and Daily. Weekly and Monthly averages also give me potential targets, or potential areas of interest. Hence the length of forementioned moving averages would be 12, 48, and 288 (on a 5-minute chart) and 4, 12, and 96 (on a 15-minute chart). I recently created an Indicator that automatically calculates these lengths based on your chosen higher timeframes of interest and your current timeframe, so you don't need to calculate these lengths yourself. However, you can very easily do the same by making a simple calculation. How many of my current timeframe candles are in a higher timeframe that I want to know. You can use the same method in calculating length of other things, like a RSI, for instance. Perhaps you wondered, like I did, why the period 14 is used to calculate the RSI. Fortunately we can adjust these periods and perhaps find an edge in the market. Hope this short post clarifies some things. I will be publishing the Timeframe Based Moving Averages script soon. Cheers
PEPPERSTONE:BTCUSDEducation
by hundredtoamillion
Myopic loss aversion and market experience█  Myopic loss aversion and market experience Myopic Loss Aversion (MLA) is a behavioral bias that severely affects trading behavior, particularly the tendency to avoid losses more aggressively than to pursue equivalent gains. This bias can lead you to make suboptimal decisions, such as selling winning assets too quickly or holding onto losing assets for too long. Today, we're exploring a study by Mayhewa et al. that explores the interaction between MLA and market experience. Quick Results: Remarkably, experienced traders showed significantly reduced signs of MLA when operating in familiar market environments or under conditions of low-frequency information updates. This suggests that both familiarity with market dynamics and a strategic reduction in the overload of market information can help temper emotional, short-sighted decision-making. █  Study Overview ⚪ Methodology and Participant Structure The research, conducted by leading economists, employed an experimental market setup where participants engaged in trading sessions under controlled conditions. The study distinguished between inexperienced and experienced traders to gauge how repeated market exposure influences MLA. Participants were divided into two main groups based on their trading experience, with further subdivisions based on the frequency of financial information they received. One group received continuous updates (high-frequency information), while another received less frequent updates (low-frequency information), allowing the study to isolate the impact of information frequency on trading behavior. ⚪ Experimental Design The core of the experimental design involved a series of trading tasks where participants were required to make investment decisions across several trading periods. The study introduced a key modification from previous research by incorporating a 'moving average' display—showing the average asset values alongside real-time prices. This addition was intended to reduce cognitive load and help participants make more informed decisions by providing a clearer context for the asset's performance over time. ⚪ Initial Hypotheses The researchers hypothesized that: Traders with more market experience would exhibit less myopic loss aversion than their less experienced counterparts. Providing a moving average of asset values would help mitigate the MLA effect by smoothing out the emotional impact of short-term price fluctuations and emphasizing longer-term trends. Less frequent information updates might reduce MLA by limiting the 'noise' or emotional reaction to price movements, thus encouraging more rational, long-term thinking. █  Key Findings ⚪ Impact of Information Frequency The frequency at which traders receive market information plays a crucial role in shaping their trading decisions and susceptibility to Myopic Loss Aversion (MLA). The study found that high-frequency information updates, which provide continuous price data, tend to exacerbate MLA. This is because constant exposure to market fluctuations heightens emotional responses, leading traders to make more short-term decisions to avoid perceived losses. Conversely, less frequent information updates can help mitigate MLA. By reducing the noise from constant price movements, traders are encouraged to focus on longer-term trends rather than reacting to short-term volatility. ⚪ Role of Market Experience The study revealed that experienced traders with substantial exposure to market dynamics show markedly reduced signs of MLA in familiar trading environments. These traders may be better equipped to handle the emotional pressures of trading, well not so much. The research also indicated that experienced traders might revert to MLA behaviors in different trading setups or allocation tasks with which they are less familiar. ⚪ Moving Averages and Cognitive Effects The findings suggest that displaying moving averages is effective in reducing MLA. Traders with access to moving averages were less likely to make impulsive decisions based on short-term losses. Instead, they were more inclined to consider the overall trend and value of the asset over time. This cognitive tool helps traders maintain a broader perspective, which is crucial for mitigating emotional biases and making more informed, strategic decisions. █  Conclusion Understanding and mitigating Myopic Loss Aversion (MLA) is crucial for improving trading outcomes, particularly in the volatile and fast-paced markets. Experienced traders tend to exhibit lower levels of MLA in familiar environments, but they are not entirely immune to it. The context-dependent nature of MLA reduction among experienced traders highlights the importance of continuous adaptation and learning. Additionally, reducing the frequency of information updates and utilizing moving averages can help traders maintain a broader perspective, further mitigating the impact of MLA. █  Reference Mayhew, B. W., & Vitalis, A. (2014). Myopic loss aversion and market experience. Journal of Economic Behavior & Organization, 97, 113-125. doi:10.1016/j.jebo.2013.10.007 ----------------- Disclaimer This is an educational study for entertainment purposes only. The information in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell securities. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on evaluating their financial circumstances, investment objectives, risk tolerance, and liquidity needs. My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Education
by Zeiierman
1
Trend Definition: NVDA ExampleUptrend Rules Strong : Second closing candle above the high of the first breakout candle. Semi-strong : Price reaches above the high of the breakout candle at any point. Weak : The second candle post-breakout closes above the 34 EMA (high) of the breakout candle. Downtrend Rules Strong : Two consecutive candle closes below the 34 EMA (Low). This does not consider the relative levels of these closes, only that both are below the 34 EMA (Low). Semi-strong : Price drops below the low of the first breakdown candle at any point. Weak : A second candle closes below the low of the first breaking candle, establishing lower lows.
NASDAQ:NVDAEducation
by cch31
Double EMA Strategy...For Beginners Hey Rich Friends, Happy Monday! It's a new week which means many new opportunities to get into the market...but it doesn't mean that you have to take all of them. Make sure you focus on finding the best setups by sticking to your plan and following your confirmation checklist. The best out of 25 will give you a good idea of your win/loss ratio. If you are still struggling to find a SIMPLE strategy that works for you, try using this Double EMA strategy that I apply to my trades. Let me know what you think and if it works for you! Today we will cover: 1. How to use EMAs on Tradingview 2. Double EMA Strategy 3. Feel confident taking a buy or sell in Forex trades 4. Trade with the trend Peace and Profits, Cha
Editors' picks
Education
0
by MoneyMantraCha
19
Where to Put Your TP and SL | Learn in 10 MinutesHey Rich Friends, This quick video will explain how I easily find my TP and SL for my Forex Trades. I've noticed how many new traders struggle with this, so hopefully this video will help. Here is what I do: 1 . Identify the overall trend of the market. It is important to understand that a Selling market will look like a roller coaster going up, have more red candles and it will continue to create Lower Highs and Lower Lows. A Buying market will look like a roller coaster going down, have more green candles, and continue to create Higher Highs and Higher Lows. This is very important. 2 . Collect my confirmations for the potential trade. Here are some questions I ask myself: - What color is the current candle? - Are the candles above or below my EMAs? - Have the EMAs crossed? - Is my Momentum indicator facing up or down? Is it positive or negative? - Is my Stochastic facing up or down? Is the Indicator's financial value above 50? These are the answers you should get: - Bullish/Buying: Green, Above, Up, Over, Higher, and Positive - Bearish/Selling: Red, Below, Down, Under, Lower and Negative 3. Enter the market at Market Execution or set a Pending Order. 4. Choose my TP and SL using the Long position tool for buying and the Short position tool for selling. Buys: Place TP above previous high and SL below the previous low Sells: Place TP below previous low and SL above the previous high - Peace and Profits, Cha
Education
0
by MoneyMantraCha
10