SWING IDEA - TV18BRDCSTNSE:TV18BRDCST is looking good currently on the weekly charts. The stock is currently trying to break out of the Support/Resistance zone of 48. Weekly closings above this levels could take the stock further upward.
MACD also made a cross nearly after the Convergence Divergence that has occurred in March 23.
Technically stock is showing some good hopes and can try to revisit its Swing High levels again.
If market conditions favor, this trade could get completed sooner than expected.
Moving Averages
UROY an energy penny stock LONGUROY basically sells rights to mine uranium for a percentage of the production. It is a penny
stock in the nuclear subsector of energy which is undergoing a renaissance in this era of
fossil fuel addiction detoxification in the context of climate change remediation agendas.
The 240 minute chart shows a parabolic move in mid January followed by consolidation
and capitulation into a double top all at about the first anchored VWAP line above the mean
followed by a trend down into the present level near to the first lower VWAP line.
I will take a long trade here targeting the mean VWAP confluent with a standard Fibonacci
retractment which is the green line on the chart. $.05 is taken as a safe stop loss at the lows.
The target is 0.40 upside yielding a R:r of 8. I have positions in URA and UEC at this time.
The entire uranium subsector is cycling from warm to hot again.
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.
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.
50 SMA Rising- Positional TradeDisclaimer: I am not a Sebi registered adviser.
This Idea is publish purely for educational purpose only before investing in any stocks please take advise from your financial adviser.
Its 50 SMA Rising Strategy. Suitable for Positional Trading Initial Stop loss lowest of last 2 candles and keep trailing with 50 days SMA if price close below 50 SMA then Exit or be in the trade some time trade can go for several months.
Be Discipline because discipline is the Key to Success in the STOCK Market.
Trade What you see not what you Think
50 SMA Rising- Positional TradeDisclaimer: I am not a Sebi registered adviser.
This Idea is publish purely for educational purpose only before investing in any stocks please take advise from your financial adviser.
Its 50 SMA Rising Strategy. Suitable for Positional Trading Initial Stop loss lowest of last 2 candles and keep trailing with 50 days SMA if price close below 50 SMA then Exit or be in the trade some time trade can go for several months.
Be Discipline because discipline is the Key to Success in the STOCK Market.
Trade What you see not what you Think
50 SMA Rising- Positional TradeDisclaimer: I am not a Sebi registered adviser.
This Idea is publish purely for educational purpose only before investing in any stocks please take advise from your financial adviser.
Its 50 SMA Rising Strategy. Suitable for Positional Trading Initial Stop loss lowest of last 2 candles and keep trailing with 50 days SMA if price close below 50 SMA then Exit or be in the trade some time trade can go for several months.
Be Discipline because discipline is the Key to Success in the STOCK Market.
Trade What you see not what you Think
50 SMA Rising- Positional TradeDisclaimer: I am not a Sebi registered adviser.
This Idea is publish purely for educational purpose only before investing in any stocks please take advise from your financial adviser.
Its 50 SMA Rising Strategy. Suitable for Positional Trading Initial Stop loss lowest of last 2 candles and keep trailing with 50 days SMA if price close below 50 SMA then Exit or be in the trade some time trade can go for several months.
Be Discipline because discipline is the Key to Success in the STOCK Market.
Trade What you see not what you Think
50 SMA Rising- Positional TradeDisclaimer: I am not a Sebi registered adviser.
This Idea is publish purely for educational purpose only before investing in any stocks please take advise from your financial adviser.
Its 50 SMA Rising Strategy. Suitable for Positional Trading Initial Stop loss lowest of last 2 candles and keep trailing with 50 days SMA if price close below 50 SMA then Exit or be in the trade some time trade can go for several months.
Be Discipline because discipline is the Key to Success in the STOCK Market.
Trade What you see not what you Think
Steel Dynamics: Trendline BrokenSteel Dynamics slid in recent quarters, but now it may be going the other way.
The first pattern on today’s chart is the series of lower highs between April and September. The steelmaker began October by pushing above that falling trendline, which may suggest its intermediate-term decline has ceased.
The rebound also returned STLD back above its 200-day simple moving average. That may be consistent with a longer-term uptrend.
The shares next proceeded to consolidate between roughly $126 and $131. Strong earnings pushed them above that range on Thursday. Will potential buyers look for retests near the top of the recent price zone?
Finally, MACD has remained positive and started expanding again.
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$SPY October 18, 2024AMEX:SPY October 18, 2024
15 Minutes.
One of those flip flop days.
SL was hit.
At the moment below all moving averages in 15 minutes except 200.
At the moment looks like a double top in 15 minutes supported by Eliott oscillator divergence.
I prefer not to trade today.
Bias is downside towards 580 levels.
A Full Scope View of The Magnificent 7Today, we look at the Mag 7 via the following methods.
MAC (Moving Average Channel).
Valuation with Trend.
High Timeframe Divergence.
To summarize, overall, these markets are generally bullish. I outline areas of interest where I will be looking for trades to the long side.
Have a great weekend.
New long term position LRCXAfter careful consideration I have added a new stock to my long-term fidelity account. I am very picky about what I allow into this account. I have started a position in Lam research on this basing of the 100 EMA. I note a rising stochastic RSI on the weekly and a pickup of volume. Given that this market is cyclical, I believe this entrance point is poised for strong gains over the coming few years. Looking back at revenue cycles the stock usually has a moderate red year followed by multiple years of huge growth. Similar to my other energy plays, I believe this is a next level play on the fact that the market overhypes GPU makers. Lam is a play on memory chips, they also have a strong service segment. Memory will need to expand exponentially in order for energy and Ai to expand, this is my thesis. I have been waiting to add semiconductor exposure to my investment portfolio but I have been wanting to avoid egregiously overpriced hot stocks like NVDA etc. I believe this correction is an opportunity for me to expand my portfolio a bit.
XPT Surges as EMAs Align with Bullish Chart PatternH ello!
XPT broke out from a falling wedge (See green trendlines!) formation with strong bull power, as the MACD shows. It wasn't against expectations since falling wedge chart patterns usually break upward. It's often a bullish formation. Thus, MACD and chart patterns align with a bullish outlook. Furthermore, the price is above EMAs (20/50/100/200). EMAs crossed upward on the 24th of September. Seemingly, nothing stands in the path of bulls until the green target circles. However, stay vigilant and don't go all in.
Regards,
Ely
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.
Two weeks of bullish momentum ahead?I entered a long position in the NASDAQ:QQQ ETF a few days ago after the price pulled back to the previous high. It was a slightly premature entry, as the price continued to pull back to the 50% retracement level of the last bullish move. 😉
The overall chart looks a bit exhausted from the bullish run following the August low, but I still expect the NASDAQ to rise until the US election. Statistically, since the 1950s, there has been over an 80% chance that the stock index rises before the election.
Additionally, we're supported by the SMAs, and there’s still some room left until the ATH is reached.
Good trades, folks!
2nd try in QCOMI’ve entered a second LONG position in NASDAQ:QCOM after the first one was stopped out. See the chart for details. The price retraced back to the entry level yesterday, but now it seems like the bullish move could begin.
After breaking through the resistance area (marked by the red rectangle), I expect bullish momentum to increase. By then, the SMAs should be perfectly aligned.
I plan to hold this position for about two weeks, as the upcoming US election could cause market spikes in either direction.
Good trade!
#1 Forexpair EURAUD is Down Trending Am about to soak the rice for about 10mins before I boil it for another 7 mins..
This is what the instructions say on how to cook rice on the rice packet
Will this work?🤔 I don't know.
Is this the exact instructions?
No it's not.
The method of how to cook the rice is based on my tolerance level
Meaning how much time am I willing to wait for it to cook plus the amount of gas that is needed to cook it.
Risk Management in trading is very similar to cooking rice on a gas stove
You need to calculate the best strategy to save on gas or firewood or charcoal to cook your rice
In this chart FX_IDC:EURAUD
The following 3 Steps have happened:
👉the price is below the 50 EMA
👉the price is below the 200 EMA
👉the price has gapped down on a down trend
These 3 Steps confirm a down trend market price.
🚀 Rocket boost this Content to learn more
⚠️Discliamer: Trading is risky please learn risk management and profit taking strategies because you will lose money wether you like it or not.