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$INJ/USDT 1D (#Bybit) Rising wedge on resistanceInjective Protocol is entering overbought territory and could retrace down to 100EMA support, after a last push up into supply zone. ⚡️⚡️ #INJ/USDT ⚡️⚡️ Exchanges: Binance Futures, ByBit USDT Signal Type: Regular (Short) Leverage: Isolated (2.2X) Amount: 4.9% Current Price: 7.0720 Entry Zone: 7.1290 - 8.0450 Take-Profit Targets: 1) 5.8905 2) 4.6130 3) 3.3355 Stop Targets: 1) 9.0065 Published By: @Zblaba CRYPTOCAP:INJ #INJUSDT #Injective #DeFi #Web3 injective.com Risk/Reward= 1:1.2 | 1:2.1 | 1:3.0 Expected Profit= +49.2% | +86.2% | +123.3% Possible Loss= -41.2% Estimated Gaintime= 1-2 months
Short
by TradingOn
3
How can AI help to improve algorithmic trading strategies?AI is transforming the field of algorithmic trading, which involves using computer programs to execute trades based on predefined rules and strategies. AI can help to improve algorithmic trading performance and efficiency by providing advanced data analysis, predictive modeling, and optimization techniques. In this article, we will explore some of the ways that AI can enhance algorithmic trading and some of the challenges and opportunities that lie ahead. One of the main advantages of AI in algorithmic trading is its ability to process and interpret large and complex data sets in real-time. AI algorithms can leverage various sources of data, such as market prices, volumes, news, social media, sentiment, and historical trends, to identify patterns, correlations, and anomalies that may indicate trading opportunities. AI can also use natural language processing (NLP) and computer vision to extract relevant information from unstructured data, such as text, images, and videos. Another benefit of AI in algorithmic trading is its ability to learn from data and adapt to changing market conditions. AI algorithms can use machine learning (ML) and deep learning (DL) techniques to train on historical and live data and generate predictive models that can forecast future market movements and outcomes. AI can also use reinforcement learning (RL) techniques to learn from its own actions and feedback and optimize its trading strategies over time. A further aspect of AI in algorithmic trading is its ability to optimize trading performance and reduce costs. AI algorithms can use mathematical optimization methods to find the optimal combination of parameters, such as entry and exit points, order size, timing, and risk management, that can maximize profits and minimize losses. AI can also use high-frequency trading (HFT) techniques to execute trades at high speeds and volumes, taking advantage of small price fluctuations and arbitrage opportunities. AI can also help to reduce transaction costs, such as commissions, fees, slippage, and market impact, by using smart order routing and execution algorithms that can find the best available prices and liquidity across multiple venues. However, AI in algorithmic trading also faces some challenges and limitations that need to be addressed. One of the main challenges is the quality and reliability of data. AI algorithms depend on accurate and timely data to perform well, but data sources may be incomplete, inconsistent, noisy, or outdated. Data may also be subject to manipulation or hacking by malicious actors who may try to influence or deceive the algorithms. Therefore, AI algorithms need to have robust data validation, verification, and security mechanisms to ensure data integrity and trustworthiness. Another challenge is the complexity and interpretability of AI algorithms. AI algorithms may use sophisticated and nonlinear models that are difficult to understand and explain. This may pose a problem for traders who need to monitor and control their algorithms and regulators who need to oversee and audit their activities. Moreover, AI algorithms may exhibit unexpected or undesirable behaviors or outcomes that may harm the traders or the market stability. Therefore, AI algorithms need to have transparent and explainable methods that can provide clear and meaningful insights into their logic and decisions. However, there are also ethical and social implications of AI in algorithmic trading. AI algorithms may have an impact on the market efficiency, fairness, and inclusiveness. For example, AI algorithms may create or amplify market inefficiencies or distortions by exploiting information asymmetries or creating feedback loops or cascades. AI algorithms may also create or exacerbate market inequalities or exclusions by favoring certain groups or individuals over others or by creating barriers to entry or access for new or small players. Therefore, AI algorithms need to have ethical and social principles that can ensure their alignment with human values and interests. In conclusion, AI is a powerful tool that can help to improve algorithmic trading strategies and performance by providing advanced data analysis, predictive modeling, and optimization techniques. However, AI also poses some challenges and risks that need to be addressed by ensuring data quality and reliability, algorithm complexity and interpretability, and ethical and social implications. By doing so, AI can create a more efficient, effective, and equitable algorithmic trading environment for all stakeholders.
BITSTAMP:BTCUSDEducation
by JS_TechTrading
AI, 10d+/-77.49%falling cycle -77.49% more than 10 days. ================================================================================================================================================================== This data is analyzed by robots. Analyze historical trends based on The Adam Theory of Markets (20 moving averages/60 moving averages/120 moving averages/240 moving averages) and estimate the trend in the next 10 days. The white line is the robot's expected price, and the upper and lower horizontal line stop loss and stop profit prices have no financial basis. The results are for reference only.
NYSE:AIShort
by Tonyder
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.
NASDAQ:NVDA
by WillNixTrading
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
ILong
by BadrAAA
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!
NYSE:AILong
by donaitelo
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
Editors' picks
CME_MINI:MNQM2023Long
by mintdotfinance
20
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
Short
by chevs710
5
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.
NASDAQ:NVDALong
by BorsaMerkezi
AI demand for NVIDIA Corporation may be highThe current price of NVDA is $273.36, with a change of 1.2221006% or $3.3004. The 1-month high of NVDA is $273.72, while the 1-month low is $204.21. NVDA has a neutral Oscillators Rating and an Average Directional Index (14) of 24.3032124. The volume of NVDA is 3861534, with a Volume*Price of 1055588934.24. The Awesome Oscillator is 21.80404559, and the Average True Range (14) is 6.57088041. The Commodity Channel Index (20) of NVDA is 135.26327924. The Bull Bear Power of NVDA is 28.90035763 which is not so great but still... and the Parabolic SAR is 244.2860477. The volatility of NVDA is 4.47078553, with a volatility week of 4.02974793. The Relative Volume is 0.17944919, with a Technical Rating of Buy. The YTD Performance of NVDA is 84.03400444, while the Change 1M, % is 17.72437112. Based on the data, AI demand for NVIDIA Corporation may be high, as the company's YTD Performance is significant and its Technical Rating is Buy. The high Relative Volume may indicate increased interest in trading NVDA, potentially due to the positive performance and technical indicators.
NASDAQ:NVDALong
by BorsaMerkezi
3
Intraday ES 22nd March - Gamma + Options + Darkpool analysisGEX: Positive Price above Gamma Flip Point - decreased Volatility Structure of Gamma: Mostly negative, spread across multiple strikes Expected Range: 3991 - 4077 Most probable end-of-day outcome: Price close above most negative gamma spikes (3990, 3940, 3840). Therefore Key Support is at 3940. Gamma Spikes chart from my AI Data Analysis software Yesterday's session was skyrocketing and honestly despite observing incoming Supply to the market near Resistance, price reacted weak to this area and after couple of hours continued to increase. As the result, we fulfilled most probable end-of-day outcome, but plan wasn't met accordingly to my expectations. Well, this is market magic 🙂 For today's session, we have similar expected end-of-day outcome where Support at 3940 is below bottom level of expected trading range at 3991. In general, on 3990 we see gamma spike, so this level works as significant support too. After climbing up, any supports are much lower than level of current price so seems the market can start shifting into Bullish sentiment. It's too early to confirm that, but something is happening. Let's keep observing. From Resistance perspective, we have spike at 4040. Plan for today's trades I marked on second chart attached to analysis. Good luck!
CME_MINI:ES1!
by skyline-trader
3