BIG POST! | How To Beat SP500?
S&P 500 Performance: +35% since 2022.
My Selected Portfolio Performance: +62%, with an 82% hit rate.
Top Performing Stocks: NVDA (+735%), ANET (+343%), META (+209%), and more.
Technical Analysis Tools Used: Price action, trendlines, Fibonacci levels, round numbers, and more.
It’s been nearly three years since I posted my analysis of S&P 500 stocks on February 23, 2022. Back then, I reviewed all 500 stocks, applied some quick technical analysis, and identified 75 stocks that stood out for me. Importantly, I relied solely on technical analysis to make my picks. Fast forward to today, and the results speak for themselves. Most of these selections have significantly outperformed the broader market, proving the power and importance of technical analysis.
While many investors rely solely on fundamentals, technical analysis brings a dynamic edge that’s often underestimated. By focusing on price action and market behavior, technical analysis allows us to spot opportunities that others might miss, especially it gives a massive psychological edge while the markets are making corrections. The market doesn't care what you know, the market cares what you do!
Here’s what I used for my analysis:
It's kind of pure price action - previous yearly highs, trendlines, a 50% retracement from the top, round numbers, Fibonacci levels, equal waves, and channel projections. For breakout trades, determined strong and waited for confirmation before pulling the trigger.
The Results
While the S&P 500 has gained around 35% over this period , my selected stocks from the same list have made +62%! Out of the 75 stocks I picked, 67 have hit my target zones and 54 are currently in the green. That’s an 82% hit rate, and for me, that’s a good number!
Now, for those who favor fundamental analysis, don’t get me wrong, it has its place. But remember, fundamentals tell you what to buy, while technicals tell you when to buy - to be a perfect investor, you need them both. You could hold a fundamentally strong stock for years, waiting for it to catch up to its "true value," while a technical analyst might ride multiple trends and capture far superior returns during that same time. Also, the opposite can happen – you may see a great technical setup, but if the fundamental factors are against it, you could end up with your money stuck in a bad trade.
To put these ideas in perspective, starting with a simulated portfolio of $76,000, where each stock had an equal investment of around $1,000–$1,100, the portfolio is now worth around $124,000. The results are based on buying at marked zones and holding until today. I calculated entries from the middle of the target zone, as it’s a more realistic and optimal approach compared to aiming for perfect lows (which, frankly, feels a bit scammy) to get much(!) higher returns. This method reflects real-world trading.
Before we dive in, here are the current Top 5 stocks from My Picks:
NVDA: +735%
ANET: +343%
TT: +227%
META: +209%
LEN: +164%
These numbers demonstrate the effectiveness of a solid technical strategy. Many say it's tough to beat the market with individual stock picks, but these results show it’s not just possible, it’s absolutely achievable with the right tools and approach.
Now, let's dive into the charts!
1. Apple (AAPL) - a load-it-up type of setup has worked out nicely. Used previously worked resistance levels. If the stocks performing well and the market cap is big enough then these levels can help you to get on board.
Current profit 65%
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2. Adobe (ADBE) - came down sharply, but the price reached the optimal area and reversed.
Current profi 38%.
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3. Advanced Micro Devices (AMD) - round number, strong resistance level becomes support and the climb can continue.
Current profit 101%
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4. Amazon (AMZN) - came down from high prices to the marked levels and those who were patient enough got rewarded nicely.
Current profit 66%
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5. Arista Networks (ANET) - retest of the round nr. worked perfectly, as a momentum price level, after the strong breakout.
Current profit 343%
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6. Aptiv PLC (APTV): Came down quite sharply and it will take some time to start growing from here, if at all. The setup was quite solid but probably fundamentals got weaker after the all-time high.
Current loss -24%
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7. American Express (AXP) - firstly the round nr. 200 worked as a strong resistance level. Another example is to avoid buying if the stock price approaches bigger round numbers the first time. Came to a previous resistance level and rejection from there…
Current profit 104%
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8. Bio-Rad Laboratories (BIO) - in general I like the price action, kind of smoothly to the optimal zone. It might take some time to start growing from here but also fundamentals need to look over.
Current loss 6%
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9. BlackRock (BLK) - kind of flawless. All criteria are in place and worked perfectly.
Current profit 81%
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10. Ball Corporation (BALL) - a perfect example of why you should wait for a breakout to get a confirmed move. No trade.
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11) Berkshire Hathaway (BRK.B) - Buy the dip. Again, as Apple, a big and well-known company - all you need to do is to determine the round numbers, and small previous resistances that act as support levels, and you should be good.
Current avg. profit from two purchases 64%
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12) Cardinal Health (CAH) - the retest isn't as deep as wanted but still a confirmed breakout and rally afterward. Still, the bias was correct!
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13) Ceridian HCM Holding (DAY) - found support from the shown area but not much momentum.
Current profit 20%
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14) Charter Communications (CHTR) - technically speaking it is a quite good price action but kind of slow momentum from the shown area. Probably came too sharply and did not have enough previous yearly highs to support the fall.
Current loss -10%
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15) Comcast Corp. (CMCSA) - got liquidity from new lows, pumped up quickly, and is currently fairly solid.
Current profit 10%
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16) Cummins (CMI) - got rejected from 2028 and 2019 clear highs, fairly hot stock, and off it goes.
Current profit 80%
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17) Salesforce.com (CRM) - perfect. 50% drop, strong horizontal area, and mid-round nr did the work.
Current profit 83%
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18) Cisco Systems (CSCO) - worked and slow grind upwards can continue.
Current profit 30%
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19) Caesars Entertainment (CZR) - not in good shape imo. It has taken too much time and the majority of that is sideways movement. Again, came too sharply to the optimal entry area.
Current loss -16%
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20) Devon Energy (DVN) - inside the area and actually active atm. Still, now I’m seeing a bit deeper correction than shown.
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21) Electric Arts (EA) - 6 years of failed attempts to get a monthly close above $150 have ended here. It got it and we are ready to ride with it to the higher levels.
Current profit: kind of BE
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22) eBay (EBAY) - it took some time but again, worked nicely.
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23) Enphase Energy (ENPH) - got a breakout, got a retest, and did a ~76% rally after that! If you still hold it, as I do statistics, then…
Current loss -59%
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24) Expeditors International of Washington (EXPD) - kind of worked but didn't reach. No trade.
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25) Meta Platforms (META) - the bottom rejection from the round number $100 is like a goddamn textbook :D At that time 160 and 200 were also a good area to enter. Here are several examples of the sharp falls/drops/declines - watch out for that, everything should come fairly smoothly. Still, it ended up nicely and we have a massive winner here...
Current profit 209%
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26) FedEx (FDX) - I love the outcome of this. Very solid price action and multiple criteria worked as they should. Perfect.
Current profit 60%
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27) First Republic Bank (FRC) - firstly got a solid 30 to 35% gain from the shown area but...we cannot fight with the fundamentals.
Current loss 99%
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28) General Motors (GM) - finally found some liquidity between strong areas and we are moving up.
Current profit 47%
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29) Alphabet (GOOG) - load it up 3.0, a good and strong company, and use every previous historical resistance level to jump in.
Current avg. profit after three different price level purchases 63%
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30) Genuine Parts (GPC) - coming and it looks solid.
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31) Goldman Sachs (GS) - really close one.
Current profit 86%
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32) Hormel Foods (HRL) - quite bad performance here. Two trades, two losses.
The current loss combined these two together is 35%
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33) Intel (INTC) - at first perfect area from where it found liquidity, peaked at 65%. Still, I make statistics if you still holding it then…
Current loss -21%
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34) Ingersoll Rand (IR) - beautiful!
Current profit 144%
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35) Intuitive Surgical (ISRG) - the trendline, 50% drop, strong horizontal area. Ready, set, go!
Current profit 157%
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36) Johnson Controls International (JCI) - second rest of the area and then it started to move finally..
Current profit 55%
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37) Johnson & Johnson (JNJ) - Buy the dip and we had only one dip :)
Current profit 13%
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38) CarMax (KMX) - the area is strong but not enough momentum in it so I take it as a weakness.
Current profit kind of BE
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39) Kroger Company (KR) - without that peak it is like walking on my lines
Current profit 15%
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40) Lennar Corp. (LEN) - strong resistance level becomes strong support. Beautiful!
Current profit 164%
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41) LKQ Corp. (LKQ) - just reached and it should be solid. Probably takes some time, not the strongest setup but still valid I would say.
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42) Southwest Airlines (LUV) - no breakout = no trade! Don’t cheat! Your money can be stuck forever but in the meantime, other stocks are flying as you also see in this post. If there is a solid resistance, wait for the breakout and possibly retest afterward! Currently only lower lows and lower highs.
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43) Las Vegas Sands (LVS) - channel inside a channel projection ;) TA its own goodness!
Current profit 70%
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44) Microchip Technology Incorporated (MCHP) - worked!
Current profit 37%
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45) Altria Group (MO) - got a bit deeper retest, liquidity from lower areas, and probably a second try..
Currently kind of BE
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46) Moderna (MRNA) - "seasonal stocks", again too sharp and we are at a loss…
Current loss -37%
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47) Morgan Stanley (MS) - the first stop has worked, and got some nice movements.
Current profit 62%
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48) Microsoft (MSFT) - Load it up 4.0, buy the dip has worked again with well-known stock.
Three purchases and avg. return from these are amazing 70%
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49) Match Group (MTCH) - it happens..
Current loss -53%
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50) Netflix (NFLX) - almost the same as Meta. Came quite sharply but the recovery has been also quick. Another proof is that technical analysis should give you a psychological advantage to buy these big stocks on deep corrections.
Current profit 153%
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51) NRG Energy (NRG) - Perfect weekly close, perfect retest…
Current profit 90%
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52) NVIDIA (NVDA) lol - let this speak for itself!
Current profit 735%
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53) NXP Semiconductors (NXPI) - usually the sweet spot stays in the middle of the box, and also as I look over these ideas quite a few have started to climb from the first half of the box. Touched the previous highs.
Current profit 74%
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54) Pfizer (PFE) - actually quite ugly, TA is not the strongest. Probably results-oriented but yeah..
Current loss -25%
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55) PerkinElmer - “after” is EUR chart but you get the point.
Current profit 25%
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56) Pentair (PNR) - worked correctly, 50% drop combined with the horizontal area, easily recognizable, and the results speak for themselves.
Current profit 124%
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57) Public Storage (PSA) - again, previous yearly highs and the trendline did the job.
Current profit 36%
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58) PayPal (PYPL) - the area just lowers the speed of dropping, but slowly has started to recover.
Current loss -14%
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59) Qorvo (QRVO) - slow, no momentum.
Current profit 10%
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60) Rockwell Automation (ROK) - previous yearly high again, plus some confluence factors.
Current profit 32%
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61) Rollins (ROL) - after posting it didn’t come to retest the shown area. Being late for a couple of weeks. Worked but cannot count it in, the only thing I can count is that my bias was correct ;)
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62) Snap-On Incorporated (SNA) - same story!
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63) Seagate Technology (STX) - firstly it came there! Look how far it was, the technical levels are like magnets, the price needs to find some liquidity for further growth and these areas can offer it. I like this a lot, almost all the criteria are in place there.
Current profit 73%
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64) Skyworks Solutions (SWKS) - one of the textbook examples of how trendline, 50% drop, round nr. and strong horizontal price zone should match. Still a bit slow and it will decrease the changes a bit.
Kind of BE
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65) TE Connectivity (TEL) - came down, and got a rejection. “Simple” as that.
Current profit 37%
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66) Thermo Fisher Scientific (TMO) - mister Ranging Market.
Current profit 19%
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67) Trimble (TRMB) - finally has started to move a bit. Got liquidity from previous highs again and..
Current profit 45%
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68) Tesla (TSLA) - made a split. Have been successfully recommended many times after that here and there but two years ago we traded in these price levels and..
Current profit 19%
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69) Train Technologies (TT) - dipped the box and off it goes! Epic!
Current profit 227%
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70) Take-Two Interactive Software (TTWO) - I like this analysis a lot. Worked as a clockwork.
Current profit 60%
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71) United Rentals (URI) - WHYY you didn’t reach there :D Cannot count it.
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72) Waters Corp. (WAT) - came to the box as it should be slow and steady. As the plane came to the runway.
Current profit 41%
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73) Exxon Mobil Corp. (XOM) - another escaped winner. Didn’t come down to retest my retest area so, missed it.
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74) Xylem (XYL) - perfect trendline, good previous highs, 50% drop from the peak and..
Current profit 76%
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75) Autodesk (ADSK) - took a bit of time to start climbing but everything looks perfect. Nice trendline, 50% drop from ATH, previous yearly highs - quite clean!
Current profit 66%
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The strategies above show how useful price action, key levels, and psychology can be for investing. By spotting breakouts, and pullbacks, or focusing on round numbers and past highs, technical analysis helps give traders an edge in understanding the market.
Regards,
Vaido
AAPL
Ultimate Winrate KDJ Strategy by reset parameter!(best tutorial)You've ever had this happen?
Bought a stock at rock bottom, and it starts to rise a bit, and then the J line turns down on the KDJ indicator, telling you to sell. So, you sell, but then it quickly shoots up, leaving you pretty blue. like you missed out on a fortune. Was the KDJ indicator down?
Nope
Hold tight, cause we're about to see a miracle. By just tweaking a bit the KDJ indicator's parameters, you can nail those short-term highs and be on your way to the success.
So, how do you find the right KDJ indicator parameters?
Stick around, and I'll spill the beans!
First off, why do we need to optimize this lil' parameter?
Well, every stock moves differently cause the folks trading it are different. So, a one-size-fits-all KDJ indicator won’t always work well on every stock at every stage. To up our chances, we gotta tweak those parameters to find the best fit for our stock.
Now, onto the second question: how do you find the right ones?
Let’s go back to the Tesla stock chart.
After changing the KDJ indicator parameters to 74, the sell point lines up perfectly with the peak.
Why 74?
Well, from point A to point B, there’s exactly 74 candles. Why use the number of candles between those two points as the KDJ parameter?
Here’s the crux of it.
The KDJ indicator is a momentum oscillator, calculating the close price at latest candle with the highest and lowest prices of the previous nine candles since the default KDJ parameter is 9.
so If the price breaks above the highest price of those nine candles, it will be constantly giving false sell signals.
So, we need to set the KDJ parameter to the number of candles from the previous high to the low. This way, the highest price and lowest price are not broken.
Then, the KDJ works accurately.
Still lost? Let’s look at another example. Here’s an Apple stock chart.
With the default parameter of 9, we bought after the golden cross, but few days later, it prompt to sell signal, and then the price soared. Feeling furious yet?
But if we set the KDJ parameter to 95, we’d have sold right near the top, securing a nice profit!
Why 95?
Same method: from the highest point A to the lowest point B, there’s 95 candles.
Got it? Ain’t it something?
Check your stocks with this method. Got questions? Leave a comment, and I’ll get back to ya ASAP! Today we focused on using KDJ to find sell points. It’s just as magical for buy points, which I’ll cover in future videos.
So, please follow me and hit that boost bell so you don’t miss out!
✨❄️🌟 The Tutorial How-To Find a Magic on TradingViewFinancial markets just finished its memorial 2023.
Whatever the numbers at the “Closing bell”, on your monitors and in your portfolios, there is no doubt that 2023 year’s Santa Rally will go down in history as one of the most outstanding in many years.
In November and December, 2023 the U.S. stock market was rallying for the 9th consecutive week in a row.
This was the longest ever upside streak in SP:SPX over the past 20 years, since the fourth quarter of 2003.
Well.. just try to answer what happened with the market the past one time.
Happy New 2024 Year!
✨❄️🌟🎅🎊🌲💫⛄️🌠✨❄️🌟🎅🎊🌲💫⛄️🌠
Know Sure Thing: Navigating Trends and Volatility EffectivelyIn the realm of technical analysis, the Know Sure Thing (KST) indicator stands out as a robust tool for traders seeking to decipher market trends and manage volatility effectively. This momentum-based oscillator amalgamates multiple moving averages to offer a comprehensive perspective on market momentum across various timeframes.
Introduction to the Know Sure Thing (KST) Indicator
The Know Sure Thing (KST) indicator is designed to unveil the market's underlying momentum, encompassing both short and long-term trends. The KST is a dynamic momentum oscillator rooted in the Rate of Change (ROC) principle. It amalgamates four distinct ROC timeframes, smoothing them via Simple Moving Averages. Consequently, the KST generates a fluctuating final value, oscillating above and below a Zero Line. Additionally, it incorporates a signal line, derived from an SMA of the KST line itself.
The moving average methodology of KST empowers traders with a tool capable of identifying both bullish and bearish trends, providing an encompassing view of market momentum shifts. Fundamentally, this indicator gauges momentum using the ROC across four price periods, aiding analysts in detecting divergences, overbought or oversold market conditions, and crossovers.
Understanding Trends with KST
The KST indicator is predominantly used to discern the strength and direction of market trends. When the KST line crosses above its signal line, it signifies a bullish trend shift, indicating a potential upward price movement. Conversely, when the KST line dips below the signal line, it suggests a bearish trend shift, signaling a potential downward price movement.
Similar to the MACD, when a crossover happens and the KST line crosses over the zero the overall signal can be considered to have a greater degree of confirmation.
Moreover, traders rely on crossovers and divergences within the KST indicator for confirming trend reversals or continuations. Bullish and bearish divergences between KST and price action can provide valuable insights into potential market movements, offering opportunities for traders to enter or exit positions.
Managing Volatility Using KST
Beyond trend identification, KST also assists in measuring market volatility. It enables traders to gauge the degree of volatility present in the market at any given time. Sharp spikes or fluctuations in KST readings often coincide with periods of increased market volatility. This information is crucial for traders as it aids in adapting their strategies to accommodate varying market conditions, thereby managing risk more effectively.
Practical Applications of KST
A practical application of KST involves combining its signals with other technical indicators, such as Moving Average Convergence Divergence (MACD) or Relative Strength Index (RSI), to strengthen trade setups. For instance, if KST indicates a bullish crossover and MACD confirms the same, it enhances the confidence of a potential uptrend.
Additionally, traders use KST to identify bullish or bearish signals in conjunction with chart patterns. A bullish KST crossover alongside a bullish chart pattern like a "falling wedge" could reinforce the conviction for a long position.
Tips for Effective Utilization:
Effective utilization of the KST indicator requires a clear understanding of its strengths and limitations. Traders should consider experimenting with different settings and timeframes to find the optimal configuration that aligns with their trading strategies. Always implement some form of backtesting or paper trading to confirm that your strategy is in fact profitable.
The strengths of the KST indicator lies in its ability to offer a more complete view of market momentum. However, like any technical indicator, KST has limitations. During choppy or ranging markets, it might generate false or contradictory signals, leading to potentially misguided trading decisions. Traders should exercise caution and supplement KST readings with additional forms of analysis to mitigate the impact of its limitations.
It's paramount not to rely solely on a single indicator like the KST, but to corroborate KST signals with signals from other indicators or methods of analysis. A fortified approach involving multiple confirmatory signals, fundamental analysis, and risk management strategies strengthens trading decisions and minimizes potential false signals from any single indicator.
Conclusion:
The journey to mastering the Know Sure Thing (KST) indicator involves continuous learning, experimentation with settings, and adapting to evolving market conditions. By staying adaptable, open to new strategies, and consistently refining trading methodologies, traders can harness the full potential of the KST to navigate trends and volatility effectively.
In summary, the KST serves as a valuable addition to traders' toolkits, empowering them to make better trading decisions. Remember, while the KST enhances market analysis, prudent risk management and a comprehensive trading approach remain pivotal for sustained success in the dynamic world of financial markets. Good luck and happy trading!
Psychographic Analysis - Life Cycle of InvestorImagine an investment as a journey with twists and turns. Knowing its different stages is like having a map for investors. It helps them decide if they want a thrilling ride with big potential rewards or a smoother path with steady stability, based on their comfort with risk. For investors, understanding the life cycle is crucial because it directly impacts the investor's risk appetite.
✨Personality characteristics of investors
✨Risk/Return Trade-Offs for Investors:
🔸 Risk/reward trade-offs are related to the relationship that exists between the degree of risk an investor takes and the potential reward for the investment. larger-risk investments have the potential for greater returns, but they also have the potential for greater losses as well. Lower-risk investments, on the other hand, have the potential for lower profits, but also for fewer losses.
🔸 The risk tolerance and investment objectives of investors will change over time. Younger investors who are just starting out are more likely to be on the risk/reward spectrum, willing to take on more risk in exchange for the chance of larger profits. This is because they have a longer time horizon with which to invest and recoup from losses. Investors may grow more risk-averse and migrate to the left side of the spectrum as they near retirement. They may need to start withdrawing from their assets to fund their retirement, so they want to protect their money and avoid large losses.
✨Phases of the Investment Life Cycle:
↪️ Here is a breakdown of the investment life cycle and how risk/reward trade-offs may change at each stage:
1️⃣ Accumulation Phase
In the initial stage, known as the accumulation phase, individuals find themselves with a modest net worth relative to their liabilities. Their investment portfolio tends to be limited and less diversified. Goals often include funding education, purchasing a home, and laying the groundwork for future financial independence. With a long time horizon and potential income growth, investors in this phase can afford to explore high-return, high-risk capital gain-oriented investments.
2️⃣ Consolidation Phase
As individuals progress through their mid-to-late careers, they enter the consolidation phase. Characterized by income surpassing expenses, this period, although still distant from retirement, prompts a shift towards capital preservation. Investors start balancing high capital gain investments with lower-risk assets, creating a more stable and resilient portfolio.
3️⃣ Spending Phase
The spending phase marks a transition when living expenses are no longer sustained by earned income but by accumulated assets, such as investments and retirement funds. With a decreased likelihood of returning to work, stability becomes paramount in the investment portfolio. Preferences shift towards investments generating steady income through dividends, interest, and rentals. Despite the reduced time horizon, some growth-focused investments are retained to hedge against inflation.
4️⃣ Gifting Phase
In the final phase, the gifting phase, investors realize an abundance of assets beyond personal needs. At this juncture, the purpose of investments may evolve, focusing on leaving a lasting legacy or supporting charitable causes.
📊 Importance:
It's like having a guide for your financial journey when you understand the investor life cycle. It assists you in choosing, depending on your comfort level with danger, between an exhilarating, high-risk ride and a more steady, smooth road. Understanding the various investment phases is essential as it influences your willingness to accept risk. It's similar to changing your game plan as you move through different stages of life, such as the exuberant early years and the more measured approach as you near retirement. Put simply, understanding the investor life cycle assists you at every stage in reaching your financial objectives and making wise decisions.
By @Money_Dictators on @TradingView Platform
Cost-Benefit Analysis of Looking outside the Scope of TrendA Cost-Benefit Analysis of Looking outside the Scope of Trend:
To Peek or Not to Peek
“The trend is your friend until the end when it bends.” - Ed Seykota
Trend analysis lies at the core of technical analysis. Modern technical analysis derived from Dow Theory. In turn, Dow Theory emphasized the nature and importance of trends and their constituent parts and degrees. Many may recall Dow’s analogy of different trend degrees: the tide (primary trend), waves (secondary trend), and ripples on the waves (minor / short-term trend).
Technical analysis includes many other concepts within its scope. But within technical analysis broadly, the primary focus remains the trend structure. Before considering trends, it may help to discuss the distinction broadly between technical analysis and fundamental analysis.
A. Technical Analysis versus Fundamental Analysis
Top traders and market experts have taken each side in the debate over whether technical or fundamental analysis has the greatest efficacy. Some have straddled the line, preferring a combination of the two.
Some consider technical analysis to be not only superior but also relatively straightforward and efficient compared to other types of analysis, such as fundamental analysis or positioning analysis.FN1 Positioning analysis is beyond the scope of this post and is briefly explained in the first footnote.
Jim Rogers, a famous investor who managed a reportedly very successful fund with George Soros in the 1970s, and who had had many accurate forecasts, expressed strong disdain for technical analysis—he once told Jack Schwager, “I haven’t met a rich technician.” But some of the greatest traders and market experts stand on the other side of this debate. For example, Ed Seykota is a trader of great renown included in Schwager’s 1993 Market Wizards: Interviews with Top Traders. Seykota chose the technical-analysis camp, giving the most weight to trends, chart patterns and good entries and exits. He once described markets in a way that evokes Charles Dow’s wave analogy:
If you want to know everything about the market, go to the beach. Push and pull your hands with the waves. Some are bigger waves, some are smaller. But if you try to push the wave out when its coming in, it’ll never happen. The market is always right.
A former portfolio manager for Fidelity Management who founded several other research and investment firms, David Lundgren, described how he came to follow the principles of technical analysis even though he still expressed great value for fundamental analysis. From an interview included in a 2021 Technical Analysis of Stocks and Commodities magazine, Lundgren shared some of his experiences and insights on this topic. In his view, fundamentals can matter significantly over the long term especially as to stocks.
But Lundgren’s most outstanding remarks in this interview distinguished between these two conceptual approaches to financial markets. He aptly characterized fundamental analysis as being based on the view that the “market is wrong.” In other words, the valuations drawn from a publicly traded company’s financial statements (e.g., P/E ratio, enterprise value, book value) assume the market is “overestimating or underestimating value” and that the price should be above / below the current market price.
By contrast, he said technical analysis assumes the contrary view that the market is actually right in its current price and price trend. The critical distinction between technical analysis and fundamental analysis boils down to ego, according to Lundgren, because pure technical analysis “accepts the verdict of the market” whereas pure fundamental analysis “involves hundreds of hours developing an opinion of what is attractive and often with the verdict of the market.”
Much ink has and will be spilled on whether price discounts everything, and if so, how fast and efficiently (Charles Dow Theory). In any case, fundamental, technical and positioning modes of analysis are not mutually exclusive.
B. Whether to Consider Data outside the Confines of Trend
Since last year’s October 2022 lows in the S&P 500 (SPX) and other major US indices, the current equity market uptrend has been challenging and bewildering to many investors, traders and analysts. It has been especially difficult to comprehend for those who are keenly aware of the broader financial and macroeconomic environment, which includes purportedly tight monetary policy and quantitative tightening (reducing Treasury securities off the Fed’s balance sheet) as well as stubborn core inflation. Such an environment broadly speaking remains unfavorable to equities for the most part.FN2
But trends do not always move in the most sensible direction, and they do not always align consistently with the macroeconomic evidence. Sentiment or even positioning, discussed briefly in the first footnote, can affect the trend even when it may run counter to the macroeconomic evidence.
And trends can stretch into an overbought or oversold condition longer than anyone expects, a principle captured by the old aphorism, attributed to John Maynard Keynes, that “markets can remain irrational longer than you can remain solvent.” Exhaustion doesn’t require a 180-degree turn but often appears more like a process, especially at market tops given the long-only nature of most equity capital.
Pure trend followers, who supposedly consider only the technical trend-based evidence, may not care whether the trend makes sense. Indeed, they place their stops and align their trades / investments in accordance with one of many trend-based strategies. And this narrowed focus may be very helpful and exceedingly profitable at times. A recent example is the Nasdaq 100 (QQQ), or even some large or mega-cap tech names like AAPL, MSFT, META, and NVDA. These indices and securities could have rewarded narrowly focused trend-followers quite well on daily and weekly time frames over the past eight months, especially if discipline was used to enter positions at major uptrend supports with stops moved to breakeven or higher along the way. Such trend traders and investors may be busily counting their profits rather than being distracted with inverted yield curves and FOMC policy statements.
The question becomes whether one may look outside the trend (or technical analysis generally). This issue likely generates pages of academic argument and hours of financial media debates between experts. And it may be something for all traders to ponder for a bit.
Given how much of an influence positioning has developed on equity markets over time, as well as central-bank quantitative tightening or quantitative easing, it seems important to consider data from such sources. Such data may also include trend information that affects trends in everything else. For example, trends in the price of commodities may tell us about inflation and likelihood of tighter monetary policy / interest rate hikes by a central bank. And trends in the money supply may strengthen or weaken the case for a current trend in equities.
C. Cost-Benefit Analysis of Looking beyond the Trend
In this author’s view, it is not necessarily foolish or improper to sneak a peek or a long thoughtful gaze, outside a rigid trend-based framework. As with everything in life and trading, costs and benefits must be weighed.
The biggest drawback to going outside the confines of trend is the tendency of many traders to try to consider far too much. Our brains are only capable of processing so much at a given time. Focusing on too much data can cause dilute confidence, weaken resolve, and obfuscate trends. In addition, by the time a trader considers a macroeconomic data point, computerized systems likely have informed all the largest institutional players, or even algorithmic or high-frequency traders, who acted on it before you even had a chance to review its implications. And the market’s reaction to non-technical data points is not always intuitive.
But if one can manage understanding additional data outside the trend/price framework, one might find benefit in learning and following data on yield curves, bond-market dynamics, Fed Funds rates, macroeconomic data, inflationary measures, and volatility gauges can inform one’s outlook in useful ways. The key here is to avoid repeatedly (and blindly) fighting the trend in price—even if one fights that trend with some of the most rational, reasonable and persuasive arguments based on overwhelming macroeconomic, volatility, sentiment, positioning, or other such evidence as to why price should be going the opposite way. In short, this is the important general rule for trend-based systems—make the trend your friend until the end when it bends.FN3
D. Practical Application and Hypotheticals
Just because one should make friends with the trend does not warrant chasing extended trends (see FN3), unless the trader or investor has developed particular expertise in momentum trading, and even then, caution is greatly warranted. Every trend has its proper entries for the time frame involved. Uptrends necessarily require countertrend retracements to support whether defined as an anchored VWAP, key moving average, Fibonacci retracement, upward trendline, or standard-deviation based measures such as linear regression or Bollinger Bands. Technically, this is not peeking outside the trend, but rather it merely considers evidence of trend exhaustion and the likelihood of mean reversion.
Further, a trend-based framework should in fact include considering higher time frame trends such as a monthly chart where each price bar represents one month of price data. One of this author’s collaborators, @SPY_Master, has performed some excellent trend-based analysis on timeframes as high as monthly, quarterly (even yearly bars at times).
It is quite common, moreover, for higher-degree trends to move in the opposite direction as lower-degree trends, such as during a monthly or quarterly uptrend experiencing a corrective retracement to trend support that lasts for days or weeks. Or the hourly trend can move against the daily / weekly trend, frequently does so whenever a countertrend retracement to trend support occurs. Can one technically “fight the trend” merely by preferring a higher degree time-frame trend when it conflicts with a shorter one? The answer depends on one’s time frame, risk tolerance, position size, and rationale.
In addition, trends involving a particular stock, index, or other security can be evaluated based on their relative strength, i.e., as a ratio of the subject stock, index or security to another stock, index, security or data series. The S&P 500 can be compared to the Nasdaq 100 or 10-year Treasures. Or BITSTAMP:ETHUSD can be charted as a ratio to another cryptocurrency. This author would argue that such metrics can provide useful trend-based insights even though they incorporate data that is technically beyond the scope of trend. Below are a couple such relative-strength charts that arguably fall within trend-analysis despite relying on data that would normally be considered outside of a price trend's scope:
Example 1 shows this author's relative strength chart of NASDAQ:AAPL to OANDA:XAUUSD (Gold). This is a very long-term chart showing the outperformance trend in AAPL over two decades to the precious medal and commodity Gold.
Example 2 shows @SPY_Master's relative-strength chart of NASDAQ:NVDA , the AI-tech stock into which everyone's distant relatives are now inquiring after its meteoric rise from 2022 bear-market depths. The chart is a relative-strength chart of the ratio of NVDA to the 10-Year Treasury note, which aptly shows how overvalued NVDA is relative to a risk-free asset. It appears far too extended above the risk-free asset in terms of standard deviation on a linear regression-based model shown here. (Note that yields and bonds move inversely, so where an asset outperforms a risk-free bond, it means that the asset is extended given the level of yields produced by that bond.)
Credit: SPY_Master (used with permission)
To conclude, consider the following hypothetical scenarios as a thought experiment. Assume a stock has a monthly or quarterly chart that is extended multiple deviations above the mean (or multiple deviations as a ratio of its price to the money supply). NVDA presents a good case study for these concepts.
Scenario A: A person entered the position at $290 and took profits on this stock at $405, preferring to exercise caution and avoid this stock as a long-term investment.
Scenario B: A hedge fund with a 150-page report of deep research on NVDA and the macroeconomic backdrop has a 10-year time horizon and begins scaling into a short position to anticipate a mean reversion at the higher degrees of trend (monthly, quarterly time frames). The hedge fund will add one quarter at $450, another quarter position at $500, and the final two quarters between $500 and $600 if reached.
Should either scenario be deemed fighting the trend? Is either scenario ill-advised use of capital? Any answers are welcome in the comments provided respectful towards others.
FN1 This footnote helps explain some basics of fundamental and positioning analysis. Beyond this brief explanation, this article will defer to other educational experts for a more thorough explanation of these three modes of financial analysis.
Fundamental analysis for equity indices like SP:SPX or NASDAQ:NDX considers macroeconomic data and metrics that focus on an economy’s growth (e.g., GDP), price-stability / inflation (CPI, PCE, PPI), consumption, real estate, money supply, central-bank rate policies, central-bank QE or QT, trade deficits, and more. Fundamental analysis as to individual stocks involves the use of financial data such as revenue, earnings per share, cost of goods sold, capital expenditures, and other data available from a public company’s certified financial statements, as well as financial ratios relying on such data, e.g., earnings per share (EPS), price-to-earnings (P/E) ratios, price-to-sales ratios (P/S) and liquidity ratios (current ratio). In the US and other major economies, securities rules mandate that companies file full disclosure of their financial health, certified by CEOs and CFOs, in annual reports (10-K and quarterly reports (10-Q) on an ongoing basis.
Positioning analysis looks at a complex array of data that covers institutional market positioning and order flows for stocks, options, indices, commodities and futures. It also looks at increasingly important dealer hedging flows (volume and open interest) in options markets and the effect of implied volatility and time on such flows. It can include such insights as net positioning on each side of a given futures market or index by hedgers and speculators. This is an area where expert commentary is helpful to learn even the basics.
FN2 Yet the central-bank and US Treasury actions behind the scenes may have masked, or even partially or wholly offset, tight Fed interest rate and monetary policy at times during the first half of 2023. For example, many financial publications and analysts discussed the US Treasury’s accounting maneuvers intended to prolong its borrowing authority in light of the debt-ceiling standoff. Commentary also noted that such maneuvering, draining the TGA account (the US Treasury’s “checking account” held at the Federal Reserve), injected money / liquidity into the financial system, which likely muted Fed’s efforts to tighten policy in the short-term while those actions were ongoing.
FN3 But as is often the case with a general rule, the exceptions can dilute the rule somewhat. One prominent exception is mean-reversion analysis / trading systems. In addition, some traders and institutions are trend-reversal traders—a high risk, high reward type approach that requires immaculate risk management, timing, precision and patience, often scaling into and out of massive positions that cannot be acquired or unloaded in a period of days.
#TradingViewPAY HOW TO EARN 💲💲 BY BECOME THE BEST AUTHOR ON TVGet rewarded for your ideas and scripts!
A month earlier, on the 20th of May, Tradingview introduced its new Rewards Program .
Sharing is powerful, right!? The TradingView community thrives on fantastic members who share their knowledge, experience, successes and sometimes even their failures. Interaction, open discussion and self-expression are the keys to understanding.
In the spirit of sharing, the TradingView team, believing it is fair that outstanding contributions are rewarded, has decided to thank their dedicated contributors. The TradingView Wizards program was recently launched to bring out the real wizards.
Inspired by this, TradingView has also launched a new pilot program that rewards authors whose ideas and scripts appear in the Editors' Choice section.
In the event that your idea or scenario becomes an Editors' Choice, your work will not only be featured to the entire TradingView community, but you will also receive a cool $100! If several of your publications are selected during the month, you will be charged for each. Learn more about the program and its terms and conditions in this Help Center article .
This pilot program is just the first step towards content monetization. TradingView promises to keep adding new ways to motivate great creators to enrich the community.
At the first stage, authors are rewarded for those ideas and scenarios that have become "Editor's Choice" in the international part of the TradingView community (only in English).
TradingView promises to tweak the features of the program and aspects of the program are subject to change as improvements are made to benefit our community!
I must confess on my own behalf that the TradingView Editors Team has A REALLY VERY GOOD TASTE. For all the time I spent on the TradingView website (that is almost eight years), I have become the author of more than 300 publications, and the best of them have rightfully become to an "Editors' Choice" column.
And so, just literally two months earlier, in April 2023, two of my publications became "Editor's Choice" again, in the international part of the TradingView community (in English).
The first one is 😀 SVB Crisis Is Over?! What S&P500 and VIX Are Talking About was dedicated to the US S&P500 index SP:SPX , while the market began to show the first signs that the Silicon Valley banking crisis was over. More details can be found on the publication page .
In the second publication - Occidental Petroleum Corp.: Bullish Bias. Continuation I've considered with technical aspects and opportunities of Value Investment Assets. Incl. NYSE:OXY - one of the legendary 92-year-old American investor Warren Buffett favorites, Occidental Petroleum corp.
More details can be found on the publication page .
While expressing many words of gratitude to the TradingView team, I must admit that the EP selection of mentioned above publications in April to the "Editor's Choice" was a pleasant surprise for me. As well as the launch of the #TradingViewPAY motivational Program a month later, the effect of which is extended to all the ideas and scenarios that have become "Editor's Choice" starting from the second quarter of 2023!
Proves and Screenshots!? - Yes, please! Everything is 100 DOLLARS working! ✨💖
Dare you too! Post your best ideas and scripts! And may the reward find the best of you!
--
Watch first, then share!
TradingView FEAT Pandorra 💖
Ninja Talks EP 18: The FOMO ParadoxThe FOMO Paradox: Fearlessly Embrace the Joy of Missing Out
In the vast realm of trading, where fortunes are made and lost, one peculiar phenomenon reigns supreme: FOMO, the Fear of Missing Out. It is a force that tempts even the most seasoned traders, whispering in their ears with alluring promises of quick gains and overnight success. But in this whimsical journey through the tradingverse, we shall embark on an intellectual escapade to unravel the paradoxical nature of FOMO, armed with humor, wisdom, and the power of restraint.
1. The FOMO Symphony: An Ode to Irrationality
Imagine, dear reader, a symphony hall filled with traders, each playing their instruments of irrationality. The violins of impulsive buying, the trumpets of chasing trends, and the drums of unchecked greed. Amidst this cacophony, the conductor whispers, "Fear not the fear of missing out, for it is but a deceptive melody, luring you into a dance of folly."
2. The 'Emo' of FOMO: Trading with Feelings
Ah, the emotional rollercoaster of FOMO, where rationality takes a backseat and the heart commands the trades. It's like being on a blind date with the market, where you're desperate for a connection, but all you end up with is a hefty loss and a broken heart. Remember, dear trader, emotions make for terrible trading partners. As Warren Buffett wisely said, "The stock market is a device for transferring money from the impatient to the patient."
3. FOMO and the Illusion of Predictability
In the enchanted land of trading, FOMO whispers sweet tales of predictable trends, promising riches to those who dare not miss out. But as the legendary trader Jesse Livermore declared, "The market is designed to fool most of the people most of the time." So, when FOMO comes knocking at your door, be ready to greet it with skepticism and a firm understanding that market movements are as predictable as a cat chasing its own tail.
4. The Wisdom of the Watchful Owl
Picture yourself as an owl perched high atop the trading tree, observing the market with unwavering focus. You know that succumbing to FOMO means flying blindly into the night, destined to collide with unforeseen risks. Instead, let patience be your wings, and knowledge be your guiding light. Remember the ancient proverb, "A wise trader is one who embraces the joy of missing out, for it is the gateway to disciplined decision-making."
5. The 'FauxMO' Rebellion: Making Fear Funny
Let us unleash our inner court jesters and laugh in the face of FOMO! Embrace the power of satire and humor to disarm the seductive allure of quick profits. Create your own FauxMO index, where the most overhyped assets are mockingly celebrated. Treat it as a reminder that while FOMO may be real, it's better to join the circus of laughter than the parade of losses.
As we bid adieu to the whimsical tradingverse, let us etch these words into our trading strategy: "Fearlessly embrace the joy of missing out, for it is in patience and restraint that true market mastery resides." Remember, dear trader, the market rewards those who approach it with intellect, discipline, and a hearty dose of humor. So, resist the siren call of FOMO and embark on your trading journey with confidence and a twinkle in your eye. Happy trading, and may the FOMO be with you... or rather, may it be far, far away!
Creating Your Trading Strategy: Simple Steps and Common PitfallsWhen it comes to using technical analysis for making trading decisions, a solid, simple, yet robust trading strategy is an essential foundation for traders to achieve consistent profits. However, constructing that strategy can be a challenge, especially for those new to trading, as there is an overwhelming amount of information out there. There are nearly countless books written on the subject of trading strategies. We want to simplify the process so that you can develop your own approach and get started.
Step 1: Determine your market, timeframe, and trading methodology
The overall first step in constructing a trading strategy is to determine: the market, trading methodology, and time frames you wish to take on. This will help you choose the appropriate indicators and approach to your trades.
There are several markets to choose from, but it is highly recommended that you pick one when you first start trading. It is easy to look at all of the opportunities present in the market and potentially overplay your hand by trading too many, which can lead to devastating losses. As an example, if you wanted to scalp the forex market, it would be best to pick one or two currency pairs to trade rather than trying to monitor all major currency pairs for opportunities.
Defining your trading methodology is another aspect of this step. Are you intending to hold stock or ETFs long-term? Do you want to swing trade or day trade cryptocurrencies? Maybe you believe you want to scalp the forex market. Doing your own research into these varying methodologies is a paramount step in formulating your strategy. Research all of them to better understand what they are and how they may fit your overall goals and risk tolerance.
Your trading style can help determine what overall time frames you are looking at. A long-term holder will typically rely on higher time frames such as the daily or weekly timeframe. While a trader who predominantly scalps may rely more heavily on the 1-minute or 5-minute timeframes. Choosing the appropriate time frames and sticking with them for your trading decisions will help you achieve discipline and consistency.
Step 2: Choose your indicators
When choosing indicators for your trading strategy, it is important to know that there are several broad indicator categories to choose from. Included in these categories are: trend-following indicators, momentum indicators, volatility indicators, and volume indicators. Trend-following indicators help traders identify the direction of the trend, while momentum indicators measure the overall strength of a trend. Volatility indicators help traders identify the level of price volatility in the market, and volume indicators measure the amount of trading activity taking place. Traders commonly pick a combination of these to be included in their strategy to help give a clearer overall picture of the potential market direction.
It is crucial to keep your strategy simple, so we recommend using 2-4 indicators at most. Choosing the right indicator combinations can be difficult, but is crucial to the success of your trading strategy.
While it may be tempting to use multiple indicators in the hope of finding the perfect combination, having too many indicators can do more harm than good. When you have too many indicators, it becomes difficult to make clear decisions. You may end up with conflicting signals that can cause confusion and lead to losses or missed opportunities.
It's important to choose only a few indicators that complement each other and provide valuable information about the market conditions. This will allow you to make more informed decisions and stick to your trading plan with greater confidence.
Step 3: Define your entry and exit rules
Once you have chosen your indicators, the next step is to define your entry and exit rules. This will help you determine when to open and close trades. For entries, you are taking the signals generated by the indicators you have chosen in step two and making a clear and definable set of rules for entering a trade. There can be other factors, such as market structure that play a role, but from an indicator standpoint, it is good to make these rules easy to follow.
Your chosen technical indicators can also be used to exit trades. For example, traders may incorporate moving averages into their strategies, and moving averages can be used for both entries and exits. Other exit conditions include having hard set take profit or stop losses. We covered this topic in our stop loss article a few weeks back (and we highly recommend you check it out). No matter how you decide to make your entry and exit rules, please ensure you implement proper risk mitigation techniques to protect your account, and in turn, help you grow.
Step 4: Backtest your strategy and practice, practice, practice
Before putting your strategy into action it is essential to backtest it using historical data. This will help you determine if your strategy is profitable and identify any areas that need improvement. Note that while backtesting is an important part of determining if your strategy is successful, past results are not indicative of future success.
Another aspect of this step is putting your strategy into practice. We never recommend diving straight into the deep end with your money before practicing. There are many free demo account options out there to get started. It is recommended that you find one that fits your needs based on the market you will be trading. The key part of this step is patience and carrying over that patience for when you are ready to go live with your strategy.
Common pitfalls to avoid:
When constructing a trading strategy, it is important to avoid common pitfalls that can lead to losses or missed trading opportunities. Some common pitfalls include:
Overcomplicating your strategy: Using too many indicators or rules can make your strategy overly complex and difficult to follow.
Failing to backtest and practice: Backtesting is essential to ensure your strategy is profitable and identify areas that need improvement.
Ignoring risk management: Proper risk management is essential to minimize losses and maximize profits.
Losing patience and jumping right in: It is easy for anyone to find a hot new indicator they believe is their edge in the market and to subsequently jump right into trading. Don’t fall into this trap as the outcome is seldom good! Take your time and become a student of the market you are trading, and a student of your strategy
In conclusion, constructing a robust yet simple trading strategy using indicators requires careful consideration of your market and timeframe, choosing the appropriate indicators defining your entry and exit rules, and backtesting your strategy. There are other aspects of technical analysis that could be tied in between the steps listed above such as market structure and patterns. However, the goal of this article was to make the process as simple as possible to help traders get on the right path. By avoiding common pitfalls such as overcomplicating your strategy, failing to backtest, ignoring risk management, and chasing after losses, traders can increase their chances of success in the markets.
Apple. World largest stock looking for new “host?” 4/Jan/23AAPL, apple as world largest market cap stock in the world benefiting from “low rate” for past 40 years. Howard Marks have “ warned” the end of 40...Probably capitalist might take few years ( consolidation in most equities market) looking for “new boss”.?
M2 Adjusted FAAMNG Tutorial/AnalysisThe current FAANG symbol does not have a very long history. Depending on the symbol, you get a chart that either starts from mid-2019 or 2016. We get couple more years of data in this chart, back to early 2014. I weighted each stock equally according to its 60 month average, and adjusted for M2 expansion, which gives us a very consistent support line. There's also a horizontal resistance line that extends from 2018 onward that is currently being tested as support, which raises the questions:
Is historical support now resistance? Is the resistance line now support? Or will we drop below the resistance line once again?
It wouldn't surprise me if we got a bounce here to once again test that the Support line is *actually* now resistance and the drop in price wasn't a fluke. Which, maybe it was. But on the other hand, smaller caps have gotten completely crushed, look at the M2 Adjusted Russell 2000 for example:
We're getting close to the "value" zone, but we're still at the bottom range of wholesale prices. I wouldn't be surprised if there's even more stop-loss style liquidations at these prices.
There are many many unprofitable companies, roughly 50%?!, that are feeling the pain in the Russell. It's not crazy to think that once the smaller caps fall, the rest of the larger dominoes fall. First, there were drops in sort of intangibly valued companies like Netflix/Peloton. Market shrugged it off. Then we saw a single day -0.25 trillion$ valuation drop in Facebook. Market shrugged it off. Now in the past few weeks, Amazon is finally looking terrible, and this is the first time in YEARS that the market seems to be taking it seriously. How long until Apple/Tesla bite the bullet? The market can only shrug off so much localized losses before it becomes systemic. It's only a matter of weeks or months, in my opinion, until we see the remaining FAANMG and others reflect the state of rest of the market.
So how did i manage to get the symbol on the chart?
This method is not perfect. There's lots of ways to do this. I decided to equally weight each stock by their 60 month SMA, given that mean reversion is a well known phenomenon. But you can use any anything you wish, as long as it normalizes the price in a way that you like. Literally anything.
First, I wrote down the SMAs like this:
60 month SMA:
FB = 221.34
AMZN = 2250.99
AAPL = 85.60
MSFT = 173.64
NFLX = 380.58
GOOG = 1585.70
Notice that AAPL has the lowest average, 85.6.
We can use AAPL as our "benchmark".
Divide every SMA by 85.6:
FB = 2.5857
AMZN = 26.296
AAPL = 1
MSFT = 2.0285
NFLX = 4.4460
GOOG = 18.524
Now we can add each price together, and divide by our adjuster that we just calculated, to get a fairly crude, but accurate enough, equally average-weighted basket:
AAPL+
FB/2.5857+
AMZN/26.296+
MSFT/2.0285+
NFLX/4.4460+
GOOG/18.524
Mash it all together, you get:
NASDAQ:AAPL+NASDAQ:FB/2.5857+NASDAQ:AMZN/26.296+NASDAQ:MSFT/2.0285+NASDAQ:NFLX/4.4460+NASDAQ:GOOG/18.524
And adjust for M2 if you want:
(NASDAQ:AAPL+NASDAQ:FB/2.5857+NASDAQ:AMZN/26.296+NASDAQ:MSFT/2.0285+NASDAQ:NFLX/4.4460+NASDAQ:GOOG/18.524)/FRED:WM2NS
This looks ugly though. The value is so small, there's no horizontal bars on the chart because of a display bug in TV or some other problem. So we can simply multiply the entire series by a value. in this case 15, until we get something that looks good.
(NASDAQ:AAPL+NASDAQ:FB/2.5857+NASDAQ:AMZN/26.296+NASDAQ:MSFT/2.0285+NASDAQ:NFLX/4.4460+NASDAQ:GOOG/18.524)/FRED:WM2NS*15
There's a lot of ideas fairly similar to this out there, but I hope this helps someone who might be curious how people came up with these crazy long symbols. Try it with your favorite sectors! Make your own sector benchmarks. You can combine up to 10 symbols at once! Here we only used 6 symbols (7 if you include WM2NS).
Good luck and don't forget to hedge your bets :)
Educational: Head and Shoulder Reversal Patterns.There are a number of reversal patterns that playout time and time again. The most reliable of the reversal patterns is the "Head & Shoulders" top and bottom. Some technicians don't like to use the term head & shoulders as it's used quite a bit and not all reversal patterns are confirmed and end end up being consolidation patterns instead. Whatever you like to call the pattern is irrelevant. What is important is that you can identify the pattern as it signals possible distribution and reversal of the prior trend.
Some Background on Chart Patterns:
Charles Dow first introduced Dow Theory in his writings in the Wall Street Journal well over 100 years ago. Dow Theory is the origin of trend following. In 1948 Edwards and Magee introduced Technical Analysis of Stock Trends. This book expanded on the work done by Dow and introduced chart patterns as a system to identify changes to the existing trend. In 1997 John J. Murphy introduced Technical Analysis of the Financial Markets which is considered by many to be the definitive work on trend analysis and chart patterns first introduced by Dow and refined by Edwards and Magee. If you're not familiar with these works I highly suggest looking into each.
Identifying the Pattern:
1) There must be a trend in place. If the H&S pattern is a topping pattern then the prior trend must be an uptrend. If the H&S pattern is reversed and is a bottoming pattern then the prior trend must be a down trend.
2) As the pattern unfolds and the peaks are formed, a clearly defined support line called the neckline must be present.
3) Volume will confirm the pattern. Volume should be decreasing at the peak of each point in the left shoulder, head, and right shoulder.
Confirming the Pattern:
1) The existing trendline is broken.
2) The neckline is broken.
3) The neckline will now act as resistance. (Often, but not always the price will try to reclaim the neckline shortly after breaking.)
The Pattern is Invalid:
1) If volume is not receding at each peak then the technician should be skeptical of the validity of the pattern.
2) The right and left shoulder should be similar in height. Often times they are not, if in doubt use volume as your indicator.
3) Either the neckline or the prior trendline is retaken as support.
Forecasting a Price Target:
Using the measured move technique, the distance from the peak of the head to the neckline can be forecasted from the spot of the neckline being broken downwards. This distance can be used as a minimum downside price target.
Example:
This is an Apple Daily Line Chart from November 2020 to March 2021. All the important elements of a Head and Shoulders Reversal Pattern are evident.
1) A prior trend was in place.
2) The formation of the left shoulder, head, and right shoulder.
3) Retreating volume at each peak.
4) Breaking of the trendline.
5) Breaking of the Neckline.
6) Price tries to recapture the Neckline but fails.
7) Minimum downside target is reached.
Conclusion:
Pattern recognition is as much of an art form as it is a science. As technicians we want to draw our lines with fat crayons vs thin pencils. Patterns don't always follow the text books. The key is to understand the main tenants of each pattern and try to spot their formations before they confirm.
Thanks for taking the time to read this. Good luck to all!
Is this a good idea to short apple now?AAPL is in a downward trend since January 4th, 2022!'
Although AAPL could go down another 10% in the coming weeks, I believe this is not a good place to short it just before the Quadruple Witch(March 18th).
Education:
If you detect a Downward regression channel try to open a short position in the upper half or at least near the midline..!
The biggest problem with many traders is:
They divide the market to Buy/Sell or Long/Short, but they should know there is "No Trade Zone" as well..!
Best,
Dr . Moshkelgosha M.D
DISCLAIMER
I’m not a certified financial planner/advisor, a certified financial analyst, an economist, a CPA, an accountant, or a lawyer. I’m not a finance professional through formal education. The contents on this site are for informational purposes only and do not constitute financial, accounting, or legal advice. I can’t promise that the information shared on my posts is appropriate for you or anyone else. By using this site, you agree to hold me harmless from any ramifications, financial or otherwise, that occur to you as a result of acting on information found on this site.
* I have a long position.
A review on my February 2022 trades..!What is more important than the trading results???
The strategy behind the trading/investment models..!
After doing lots of research, I decided to combine Warren Buffet, George Soros, and Jim Simons's strategies to build my own trading system.
So far I am happy with the results..!
Why?
Because I beat the market in the past 2 months by far..!
In a bullish market, everyone feels like they are the wolf of the streets, but when rainy days come they have no plan..!
Looking at markets, you see all major indexes are down between -6.27%-13.06% in 2022:
Now let's look at my results:
After a successful January with +6% (stock & options trading) in February 2022, you could make 4.8% if you had taken all the stocks and options trades I offered in February 2022.
*Details of the trades are marked on the charts..!
The significance of this will sine more if you are looking at the negative returns of S&P 500(-2.9%), Nasdaq 100(-4.94%), and Dow Jones(-3.05%) in the very same month!
This makes my compound profit of 11% in the past 2 months..!
If you have followed me for over a year you know this result is far away from the +61% in the first 7 weeks of 2021, but at that time market was very different..!
What is the logic behind my trading strategy in 2022:
The most important one: handling the Volatility in the right way: Decreasing number of trades..!
Jim Simons:
When market volatility surged, Renaissance’s system tended to automatically reduce positions and risk.
The second most important rule that helps in all markets: Win Big and lose small:
If you are looking at the win ratio of my trades it is 50%, but the amount I win in my winner trades is much bigger than my loser trades..!
George Soros:
It's not whether you're right or wrong, but how much money you make when you're right and how much you lose when you're wrong.
Finally:
Warren Buffett:
I insist on a lot of time being spent, almost every day, to just sit and think. That is very uncommon in American business. I read and think. So I do more reading and thinking, and make less impulse decisions than most people in business. I do it because I like this kind of life.”
Now you see why I publish fewer trading ideas in 2022..!
The goal is not to make lots of trades, the goal is to make money constantly and beat the market performance in the long term..!
** Consider combing this with my Crypto, Gold, and OIL ideas, the performance will become double or more..!
related articles:
Best,
Dr. Moshkelgosha M.D
DISCLAIMER
I’m not a certified financial planner/advisor, a certified financial analyst, an economist, a CPA, an accountant, or a lawyer. I’m not a finance professional through formal education. The contents on this site are for informational purposes only and do not constitute financial, accounting, or legal advice. I can’t promise that the information shared on my posts is appropriate for you or anyone else. By using this site, you agree to hold me harmless from any ramifications, financial or otherwise, that occur to you as a result of acting on information found on this site.
A Classic Megaphone Pattern..!What Is a Broadening Formation?
A broadening formation is a price chart pattern identified by technical analysts. It is characterized by increasing price volatility and diagrammed as two diverging trend lines, one rising and one falling. It usually occurs after a significant rise, or fall, in the action of security prices. It is identified on a chart by a series of higher pivot highs and lower pivot lows. The chart below shows an example of a classic broadening formation.
Broadening formations occur when a market is experiencing heightened disagreement among investors over the appropriate price of a security over a short period of time. Buyers become increasingly willing to buy at higher prices, while sellers find even more motivation to take profits.
Broadening formations may also occur during earnings season when companies may report differing quarterly financial results that can cause bouts of optimism or pessimism.
These formations are relatively rare during normal market conditions over the long term since most markets tend to trend in one direction or another over time.
Reference article:
www.investopedia.com
Volume-Weighted Divergence Play on AAPL 10R via NEXT RSINEXT RSI Divergence Play: Key Concepts
- NEXT RSI is a low-lag, volume-weighted momentum oscillator that often precedes price action
- Divergence play resets at each open (do not count prior session's highs and lows)
- Use as you would other divergence strategies: higher price highs, lower NEXT RSI highs = bearish; lower price lows, higher NEXT RSI lows = bullish
-Use a preset TP / SL and/or close if NEXT RSI retraces back to last relevant high or low
Target Market:
- AAPL 10R Chart
- can be used with almost any market; volatility helps
Order Management:
- Enter on forming divergence, 2 or more clearly separated peaks or troughs
- TP / SL at 30 cents (AAPL)
- Exit if price retraces to the last NEXT RSI top or bottom referenced when opening the position
Optional:
- Additional NEXT RSI strategies can be discovered using the free companion NEXT Strategy Visualizer
The Magical 50 days Exponential Moving Average (50EMA)In 2021, we should take the price reaction to 50EMA very seriously! Especially if you like to buy the dips!
I believe it could be single best tool to help you find the best entry and exit point in many tickers..!
Let's review few examples:
1- NASDAQ:NVDA
2- NASDAQ:MSFT
3- NASDAQ:AAPL
4- NASDAQ:GOOG
5- NASDAQ:FB
6- NYSE:CRM
7- NASDAQ:CSCO
8- NYSE:SNOW
9- NYSE:BAC
10- NYSE:XOM
and major indexes:
SP:SPX
TVC:NDX
TVC:DJI
What is Price Action?
Price action is the movement of a security's price plotted over time. Price action forms the basis for all technical analysis of a stock, commodity, or other asset charts. Many short-term traders rely exclusively on price action and the formations and trends extrapolated from it to make trading decisions. Technical analysis as a practice is a derivative of price action since it uses past prices in calculations that can then be used to inform trading decisions.
Price action generally refers to the up and down movement of a security's price when it is plotted over time.
Different looks can be applied to a chart to make trends in price action more obvious for traders.
Technical analysis formations and chart patterns are derived from price action. Technical analysis tools like moving averages are calculated from price action and projected into the future to inform trades.
How to Use Price Action
Price action is not generally seen as a trading tool like an indicator, but rather the data source off which all the tools are built. Swing traders and trend traders tend to work most closely with price action, eschewing any fundamental analysis in favor of focusing solely on support and resistance levels to predict breakouts and consolidation. Even these traders must pay some attention to additional factors beyond the current price, as the volume of trading and the time periods being used to establish levels all have an impact on the likelihood of their interpretations being accurate.
Limitations of Price Action
Interpreting price action is very subjective. It's common for two traders to arrive at different conclusions when analyzing the same price action. One trader may see a bearish downtrend and another might believe that the price action shows a potential near-term turnaround. Of course, the time period being used also has a huge influence on what traders see as a stock can have many intraday downtrends while maintaining a month-over-month uptrend. The important thing to remember is that trading predictions made using price action on any time scale are speculative. The more tools you can apply to your trading prediction to confirm it, the better. In the end, however, the past price action of a security is no guarantee of future price action. High probability trades are still speculative trades, which means traders take on the risks to get access to the potential rewards.
Conclusion:
Monitor asset reaction to 50EMA and define your entry and exit strategy based on this simple tool!
Reference Article::
www.investopedia.com
Be an inquirer, Not a Believer..!Words cannot express how much my followers mean to me.
I’m eternally grateful for all the support and kindness I have received in the past few months from my followers on this platform.
I came across an interesting story written by Friedrich Nietzsche, so I decided to share it here. I believe it will give you a clear pathway on how to follow others in life and trading as a part of your life.
The Bestowing Virtue
Zarathustra—a sage who is also the central character of the book—tells his followers to stop following him. He says, “I now go alone, my disciples! You too go now, alone! Thus I want it. I advise you: depart from me, and guard yourselves against Zarathustra! And better still: be ashamed of him! Perhaps he has deceived you.”
A young student (S) spent years searching for enlightenment. He traveled across many countries and lived among various groups of ascetics, but after searching for years, he found his quest to be fruitless. Finally, he gave up and decided to work on a farm. The farmer (F) he worked with was a simple man. He didn’t talk much, but when he did, he enjoyed a good philosophical debate with the student. At first, the student was open to debate, doubting much of what the farmer said, thinking he was similar to the other ascetics the student had met in the past. But after some time, the young student sensed an immense wisdom and tranquility inside the farmer. He started to agree with the farmer more and more. The students desire for enlightenment had returned, and so the student worked with the farmer for months, absorbing his knowledge. Eventually, the farmer noticed that the student had stopped debating with him, and the following conversation ensued.
F: I think it’s time for you to leave me.
S: Leave? Why?
F: Listen, when you first arrived here, we had many things to teach one another. We grew together and learned from each other. Your mind was inquisitive. But recently, you’ve begun to believe everything I say. You’ve gone from an inquirer to a believer, and I won’t let you do that to yourself or to me. We’re both better off if you leave.
S: But I came seeking the truth, and I found it in you.
F: The truth! You’re lost kid.
S: Why would you send me away like this? How can you do that to me?
F: Let me show you something. Take a look at this map. What do you see?
S: I see our farm, the river nearby, and the mountains.
F: No, you see /an image/ of our farm, the river nearby, and the mountains—not the things themselves. Now tell me, what can you learn from this map?
S: I can learn where the farm and the river are, the height of the mountain, where the berry trees are, where we plant our carrots…
F: No you can’t. Give it a few millennia. The river will dry up, the mountains will move, and this farm may be a city. You can’t learn anything about the farm as it is, you can only see an image of it as it was at some point in time. See, a man’s memory is like this map. It can capture a shadow of reality, and he can share that with you, but he can never give you the reality itself. A man can give you his memories of the truth, but he can never give you the truth itself. He can tell you where the farm was, but you’d still have to verify it for yourself. If you want the truth as you say, there can be no intermediaries, no middlemen. If there’s a middleman, then he is the one you are following, not the truth.
S: But what’s wrong with following you?
F: If you follow me, you’ll live according to /my/ memories. You’ll live according to /my/ map, and you’ll never learn to construct your own. What if my map is wrong? Then you’ll be lost with me, and you won’t be able to correct me because you never learned to navigate on your own. And if you can’t correct me, then we’re no longer able to help each other. But if you learn to see for yourself, if you learn to construct your own map of reality, then we can come together as friends and individuals. We can compare our maps and help one another see reality as it really is. And when we both see reality as it is, we can journey through it together, as equals.
S: I guess you’re right. I’ll start packing my things.
I believe if you change some words in this conversation and read it again it would be nice:
Farmer: Analyst
Student: Trader
Map: Analysis
Farm: Market
River: Trend
Mountain: price pattern
...
Nothing would be better than to finish my post number 1111 than expressing my gratitude once again:
I am more grateful to you than you’ll ever know.
Best,
Moshkelgosha
Reference:
freedominthought.com
This is called WSB effect..!The goal of this article is to explain the Wallstreet Bets methods.
I believe all the market participants should be aware of their effects on the market and how they could derail any asset from a normal movement.
Let's look at some of their manipulations first:
1- NASDAQ:MVST
2- NASDAQ:WISH
3- NYSE:SPCE
4- NYSE:NIO
5- NASDAQ:FORD
6- NASDAQ:AMD
7- NASDAQ:MRNA
8- NASDAQ:NVDA
9- NASDAQ:TSLA
10- NASDAQ:AAPL
11- NYSE:PFE
At this point, you must be able to see the similarities between charts and also group them into 2 different categories!
Cluster 1: Small caps
Cluster 2: Big caps
In cluster 1: they usually target 100% or above
In cluster 2: The bigger the market cap of that company the smaller the wave they could push.
The big question is Are they predictable?
I believe their movement especially on the Topside could be predicted with acceptable accuracy if you know how to monitor their money injection.
Let's review some of my published analysis about their plays:
August 17, 2021, one day before manipulation ends:
NYSE:PFE
August 10th, 2021, right at the last day!
NASDAQ:MRNA
August 4th, right at the last day..!
AMD
Defining the hypothesis:
1-The Wall Street Bets phenomenon could be a very smart Algorithmic Trading Platform that creates bullish and bearish rallies by smart money injection or withdrawal, and it is not a group of "Apes".
2- Their target prices could be predictable using Option trades data
3- Their pattern of behavior is not Pump and Dump, but it is "Dump-Pump-Dump"
4- Most of their plays were in the ARK Invest's ETFs weeks or months ago.
I do not want to make this post very long, so I encourage my followers to read this article and looking at the charts carefully.
I will share my findings of WSB in future posts.
Moshkelgosha
How to read an Income StatementOne of the three major financial statements used to reflect a company's financial performance during a certain accounting period is the income statement . The income statement shows a company’s revenue and expenses over a period of time. It is also called a Profit and Loss statement or P&L.
The most common time periods of reporting are:
1. 1 quarter (90 days)
2. 1 year (365 days)
3. TTM (“trailing twelve months”)
4. YTD (year to date)
Companies usually show the income statement in the quarterly earnings press release but not always. You can find them by looking at:
1. 10-Q (quarterly report)
2. 10-K (annual report)
The income statement focuses on four key items— revenue, expenses, gains, and losses . It makes no distinction between cash and non-cash revenues (cash sales vs. credit sales) or cash vs. non-cash payments/disbursements (purchases in cash versus purchases on credit).
The income statement flows in a step-down manner. The top number is revenue (sales) and costs are subtracted as you go down.
Let’s take them one by one:
1) Revenue – this is the amount received or to be received from the sales of products/services during this period. Sales revenue is net, meaning it includes discounts, returns and any other deductions from the sales price.
2) COGS (cost of goods sold) – this figure shows all of the costs & expenses related to producing the product or that service. If you sell smartphones these would be the variable costs of: chips, plastic, labor costs, etc…to manufacture smartphones.
3) Gross profit – this is Revenue – COGS. It is also called “gross income”.
4) Operating expenses (OPEX) – a category that includes all costs to run a company’s day-to-day operations. These categories may include: Research and Development (R&D), Sales, Marketing, Selling, General and Administrative (SG&A), Overhead (rent, utilities, travel, salary, bonus, stock-based compensation).
5) Operating income – Gross Profit – OPEX. This shows how much profit a company earned from its ongoing operations. It is also called “EBIT”, which stands for “Earnings Before Interest and Taxes”.
6) Interest Expense – The amount of interest paid during this period. This can also include other types of financing charges like loan origination fees.
7) Pre-tax income – OPEX-Interest Expense. Also called “EBT” or “Earnings before Tax”
8) Income Tax Expense – Taxes paid to federal and local governments.
9) Net Income – Also called earning or profits. If the number is positive the business is profitable. If the number is negative, the business is unprofitable.
To calculate “Earnings per share” or EPS we must divide the net income to the amount of shares outstanding a company has. For example: If a company makes 10 million and it has 1 million shares outstanding, each share is entitled to $10.
An income statement may provide a lot of information about a company's operations. It comprises a business's operations, managerial efficiency, potential profit-eroding leaky areas, and if the organization is operating in line with industry peers.
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RSI Divergence on APPLE ChartRSI stands for relative strength index and it helps measure the direction and momentum of a specific stock.
Generally, RSI looks at gains and losses over 14 periods, although some traders could rely on different time intervals.
An RSI indicator increases when a stock increases in value and decreases when the opposite is true.
The indicator is measured on a scale of 0 to 100. When it drops below 30, the stock is oversold and has likely been trending downward for some time. Conversely, RSI of 70 or above indicates a stock on an uptrend that is now overbought.
Said that, The RSI divergence helps stock traders spot and take advantage of investment divergence.
When used correctly, RSI can be one of the best available effective trade and confirmation indicators.
With RSI divergence, the relative strength index of a specific stock shows lower highs when the price uptrend hits higher highs, and viceversa.
Divergence indicates that the current price trend is flagging, which provides insight into whether it’s time to make a move to buy or sell that particular stock. When an indicator disagrees with the price, this lack of synchronicity indicates a likely change with the chart.
On this chart we can see the RSI divergence on Apple (AAPL). What do you think about it?