AI
AI - Running Away From The NazzyAn AI index, comprised of:
Shown in Blue
Google
Microsoft
NVIDIA
C3.AI
Nasdaq Shown in Orange
We see that they have broken away from the returns offered by the Nazzy Tech Index
Bottom of the Graph:
Spread between the above defined AI index and the Nazzy.
Has reached its All Time High..
Traders would have earned an additional 20+% by investing in the AI index in lieu of the Nazzy
Mind you, these companies have Zero additional profits resulting from AI, at this time.
How to profit from this?
Accepting ideas.
INTUSDT technical Analysis From technical analysis wise, a clear breakout from a falling wedge on W & 3D frames, it is retesting, I think it will make 10x from here.
According to INTchain twitter account: “The INT Chain Foundation officially announced that it will conduct in-depth research and expansion on AIGC and ChatGPT related technologies, with an ever-changing pace, profoundly, quickly, and thoroughly changing the existing IoT chain model.”
That’s BULLISH but you need to keep in mind the following.
1- It’s a small cap project with huge potential but with a low liquidity “ manage your risks”
2- Take profit along the way and enjoy.
Good luck
C3.AI - Ready for the next wave upHello everyone,
The letter from the Kerrisdale Capital made C3.AI plummet by 40% on possible allegations that C3.AI used agressive accounting tactics to boost it's quarterly results and improve margins on paper.
Even if that is true, revenue is still revenue and each and every company uses all the possible legal ways to improve it's finances. Still, this does not immediately mean that C3 should be 40% cheaper than 3 days before.
The company was way overbought and needed some cool-down, but -40% is brutal for such allegations. The $20 has been a fantastic support a few times in the past and I think that this time is no different. I am expecting heavy buying and the first TP would be $25 and then $30. After hitting $30, it all depends on the allegations being cleared as well as the overall market sentiment, so nothing can be certain past that point.
If there is a heavy break below $18, $15 is next and then $10. Still, I don't think that C3 is over just yet and this is all a show to drop the company.
Good luck to all!
$DZSI: Has Reached the PCZ of a Bullish GartleyWe just hit the PCZ of a Bullish Gartley on DZSI and have a mild amount of Bullish Divergence on the MACD if it performs then i expect it to make it's way towards $20
MSFT Microsoft to 290 by JulyPrice action looks like this could be a cup and handle breaking out through the $165 area. Lots of important economic signals coming in the next 2 week which, if good, could be a boon for markets and especially blue chip technology. MSFT is one of the strongest looking stocks of them right now in my opinion. Out on two closes under $140 looking to see this test $290 area when I would set a hard stop order to $280 and let it ride.
$VERI: Triple Bullish Divergence at the PCZ of a Bullish GartleyWe have Multiple Levels of MACD Bullish Divergence on the Weekly Timeframe at the PCZ of a Bullish Gartley that went a bit deep to the 0.886 with tail end Bullish Divergence on the RSI and if it plays out, Veritone could blast significantly higher.
Long AI Short HypeFighting innovation is a fool’s errand. Getting entangled in hype is no less.
Generative AI is drawing attention. ChatGPT skyrocketed in popularity since launch last November. With its intuitive responses, it has become the fastest-growing app in history reaching one million users in five days and 100 million in two months. In contrast, Google took 12 months and Facebook required four years to get there.
The virality highlights the potential disruptive power of generative AI. Disruptive innovation is not new. Railways in 1800s to Blockchain in the recent past provide ample history.
As observed before, innovation takes time to mature. Yet the hype cycle races ahead only to plunge in time to normalise.
This paper uses iShares Exponential Technologies ETF (XT) as a proxy to cutting edge innovation. XT invests in global firms with exposure to exponential tech, which displaces older tech. It invests across nine themes comprising of firms in both developed and emerging markets that create or use exponential tech.
This paper argues for gains to be harvested from sinking hype using a spread trade. A long position in CME Micro E-Mini Nasdaq Futures (MNQ) combined with a short position in XT will deliver a compelling 1.49x reward to risk ratio.
HISTORY OF HYPED INNOVATION
Gartner hype cycle graphically depicts disruptive innovation journey. First comes the climb to peak hype. Second, fall to trough of disillusion. Third, slope of enlightenment followed by plateau of productivity.
Using Google Trends as a proxy for hype cycle, it shows that market mania around AI is not new. AI searches surged in 2011 with the launch of Siri, Cortana, and IBM’s Watson. With natural language processing tech still in infancy, practical applications were limited then. And soon, the frenzy fizzled.
Innovation in new machine learning algo such as convolutional neural networks and deep learning led to the launch of ChatGPT. Its potential is clear. Yet the tech is in early stages requiring a lot more work before it can mount serious challenge to existing tools.
Tech parity will take considerable time let alone the meaningful monetisation which requires legal and ethical AI use hurdles to be cleared.
One of the foremost examples of Gartner’s Hype Cycle is the boom in US Railways between 1840-1860. Hopes of ever-increasing returns attracted large scale investments only to result in eventual disappointment. Illustrations from recent past (Crypto, IoT, and Blockchain) shows similar fate of over-hyped tech.
CURRENT HYPE IN XT, C3 AI, AND BEIJING DEEP GLINT
A 23% surge in price in iShares Exponential Technologies ETF since mid-October last year is emblematic of Gartner’s hype cycle.
This is even more evident in the share price of C3.ai. Founded by legendary entrepreneur Tom Siebel, this company was named C3 Energy when formed. It changed its name to C3 IoT in 2016 and then renamed again to C3.ai in 2019 to ride the waves of hype.
US equities cannot claim monopoly over hype. Equities elsewhere get swayed too. Shares in Beijing Deep Glint Technology also rallied 80% spurred by ChatGPT. However, last week, the company announced challenges in offering ChatGPT-linked products causing its shares to tank 10%.
ROAD AHEAD FOR GENERATIVE AI
Generative AI is here to stay. Infancy for now but the tech will mature. Competition will rise. Winners will emerge. But monetization is another story altogether.
Favouring innovation while frowning on hype fuelled by inflated expectations, this case study proposes a spread trade. A long position in CME Micro E-Mini Nasdaq Futures (MNQ) combined with a short position in iShares Exponential Technologies ETF (XT) delivers a compelling 1.49 reward to risk ratio.
TRADE SET UP
Why a spread trade? In the short term, elevated levels of uncertainty have left experts puzzled on whether we are in a bull market or a bear market rally. Hence, to extract pure alpha (by neutralising beta) of securing gains from diminishing hype, this case study proposes a spread trade.
The spread will gain in a bullish market when MNQ rises relative to XT. Similarly, the spread will gain in a bearish market when XT falls more than MNQ.
CME’s Micro E-Mini Nasdaq-100 Index Futures expiring in June 2023 (MNQM2023) provides a notional exposure to $2 x Nasdaq-100 index. With MNQM2023 settling at 12,525.50 on February 17th, the futures provide a notional exposure of $25,051.
XT settled at $52.58 on the same day. A spread requires notional value of both the legs to be identical. Therefore, this requires short selling 476 units of XT for a short exposure of $25,028.
• Entry: 238.218
• Target: 255
• Stop: 227
• Profit at Target: $ 1,760
• Loss at Stop: $ 1,180
• Reward-to-Risk Ratio: 1.49x
MARKET DATA
CME Real-time Market Data helps identify trading set-ups and express market views better. If you have futures in your trading portfolio, you can check out on CME Group data plans available that suit your trading needs www.tradingview.com
DISCLAIMER
This case study is for educational purposes only and does not constitute investment recommendations or advice. Nor are they used to promote any specific products, or services.
Trading or investment ideas cited here are for illustration only, as an integral part of a case study to demonstrate the fundamental concepts in risk management or trading under the market scenarios being discussed. Please read the FULL DISCLAIMER the link to which is provided in our profile description.
REFERENCES
www.cmegroup.com
www.cmegroup.com
How the Crypto market is controlled!! (Artificial Intelligence)How we know the crypto market is controlled by AI (Artificial Intelligence). This becomes evident when you study the cycles and patterns in market behaviour. For example Friday 8pm it turns off for the weekend, leaving just retail investors left, hence why the volume is always lower on weekends. The AI wakes up again Sunday evening, 6pm EST. Bringing back the volume and with it either a pump or dump. Again, it’s evident when observing the 56-58 day cycle low. These patterns couldn’t possibly occur without a force controlling and influencing the market.
It’s highly unlikely, likely that everyone invested in cryptocurrencies sells at the same time or buys at the same time in order to dump or pump the market.
In order for the market to maintain equilibrium, there has to be a governing force that is able to stabilize and control it. The influence this has on the market is the ability to liquidate shorts or longs, as well as pump the pockets of the elite and institutions, banks and corporations.
The AI will automatically make trades that are beneficial to those that created it and control it. It will exchange various new world order coins in order to control the market and to strike fear into the heart of the retail investors. So many people are liquidated by it in order to remove public interest, so the real gains can be made by those with governance.
By utilizing the same systems that have been around since the beginning of time (Astrology, lunar cycles, numbers and dates) the AI is able to plot its coordinates to create cycles and patterns that are there for interpretation. This is how I’ve been able to make calls months in advance by understanding these ritualistic cycles
NVDA more AI Deep Learning news has + effectNVIDIA Corporation (NVDA) is currently trading at a price of 268 with a 1.46% increase in the price from the previous trading day. The stock has a 1-month high of 275.89 and a 1-month low of 222.97. The stock has been rated as "Sell" based on the oscillator rating.
In terms of technical indicators, the Average Directional Index (14) is at 21.23, indicating a weak trend. The Awesome Oscillator is at 14.20, indicating a slight bullish momentum in the stock. The Relative Strength Index (14) is at 62.97, indicating that the stock is neither overbought nor oversold. The Stochastic %K (14, 3, 3) is at 53.72, indicating that the stock is in neutral territory.
The stock's moving averages are bullish, with the Simple Moving Average (10) at 266.78, Exponential Moving Average (20) at 260.38, Exponential Moving Average (50) at 246.21, Exponential Moving Average (100) at 226.86, and Exponential Moving Average (200) at 203.67. The Moving Averages Rating is "Strong Buy".
The stock has a YTD performance of 80.44%, indicating strong performance over the year. The 5-year performance of the stock has been very impressive, with a gain of 378.30%. The stock's beta is 1.88, indicating that it is more volatile than the overall market.
The stock belongs to the Electronic Technology sector and has a Bull Bear Power of 9.05. The Parabolic SAR is at 275.20, which is above the current stock price, indicating a bearish trend. The Pivot Fibonacci P is at 264.99, and the Pivot Camarilla P is also at 264.99.
Overall, based on the technical analysis and the stock's performance, I would rate this stock as a "Buy". However, investors should keep in mind the high volatility of the stock due to its high beta value.