INFA (Long) - AI play with a robust baseFundamentals
The market right now is full of companies acting like prime AI bets . From what I can tell, NYSE:INFA is one of the more legit ones, building an AI-powered platform for multi-cloud system
The valuation is slightly stretched but that is to be expected in a hot sub-sector. Hence, we need to gauge it against the industry, where INFA is exactly at the average
Sales growth has been reliable and strong over the past decade, and the firm is nearing profitability
Debt is stable at 1:1 ratio with equity. One fun fact is that CEO's compensation is $32m a year; the average in the industry is $8m, That's a major red flag, but we do not really care in a 6-month window; just something to be aware of
On this one though, we are here for the technicals
Technicals
The technicals on this chart are gold
Starting, as always, with a robust base which has accumulated over a longer time period
The break out of the base came on news of blockbuster earnings , which is the kind of support a name like this needs
Because of the positive news, the move was accompanied by higher-than-average volume as depicted on the graph
Indicators also further support the break : (i) volume, represented by Chaikin Money Flow, has been showing divergences long before the move actually happened (orange circles) and (ii) a factor I consider crucial, a high relative strength against the market; the indicator is clearly breaking out and pointing higher
Momentum is strong (stochastics) and supported by the rally in the broader indexes
The stock clearly broke through all the moving averages ; another important factor when looking for an uptrend with legs
Trade
On the daily, the trade is slightly stretched. However, it still provides a good entry considering the proximity to the breakout line
Ideally, the stock would oscillate around this line for a couple of days and let the moving averages catch up with the price
It is up to you whether you wait or enter here. I choose to wait just because I feel the price action in the whole market needs to consolidate for a few days
Caveat? The stock does not hold the line and breaks lower. However, considering the magnitude of the move, it is not unrealistic that this happens. In that case, I would wait for the price to break again and re-enter
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Artificial_intelligence
How AI will revolutionise the trading world – 14 WaysThe era of AI has unleashed in almost every aspect of our lives.
And I believe that there will soon be a seismic shift in financial trading with AI.
I feel it’s my duty to share some of the ways, we will incorporate, adapt and integrate AI into trading.
To explain in simple terms…
AI is a concept to teach machines, robots and computers how to perform human actions. And trading is just another element that AI will apply to.
Let’s start…
#1: AI Trading Bots
We’ve had EA (Expert Advisors), chat bots and machine learning when it comes to trading.
As AI adapts more into the financial world, they will be able to signal, alert and even optimise our trading strategies, risk management and financial profile.
#2: AI will alert more markets into our watch lists
Not all markets work with our trading strategies.
Right now we have to manually search for different markets to back, forward and real test.
Once AI adapts to our trading strategy, it will be able to pinpoint the most efficient and effective markets to include into our trading arsenal.
#3: Real-time risk management
AI’s rapid data processing will be able to identify our risk profile.
In the near future, it will be able to identify not only trading setups, but also the volume we’ll need to buy or sell to enter or exit a trade.
It will alert us when trades are ready to go and will ask us whether we want to go ahead and action the high probability trades (according to our risk management.
#4: Algorithmic automatic trading
Once we lay out the parameters of what we want our AI trading bots to do, they will be your employee.
They’ll be able to take action while you’re away such as:
Layout the chart setups
Plug in the trading levels (entry, stop loss and take profits)
Execute trades on our behalf
They will work for us, which will limit our time staring at screens.
#5: Sentiment Analysis: Read the market’s mood
This tool will help us identify who’s dominant in the markets.
Are the bulls or bears stronger.
It will then give us a gauge meter to tell us whether demand or supply is higher.
And this will help us make calculated decisions, based on our own trading analyses.
#6. Freeing humans from the grind
When AI takes over our trading, it will do all of the mundane tasks for us.
It’ll focus on:
What markets work best with the system
Which markets to remove from the watch list and
whether we are in favourable or unfavourable terrorist according to our system
This will free traders from spending hours behind a screen on the daily.
#7: Automation: Back and forward testing
When AI learns a system with the right parameters and criteria, it will be able to backtest for us.
It’ll be able to go through hundreds of trades in the past and will provide a full review of the stats and measures.
It’ll tell us the:
trades
of winners and losers
Win and loss rate
Average winner and loser per trades
Costs, risks and losses
Accumulation of profit and losses and more…
#8. Pre-emptive fraud detectors
AI doesn’t just detect fraud—it sniffs out all the unregulated and fraudulent type companies, brokers, market makers.
It also analyses the markets micro and macro analyses to see which companies are doing well, cooking the books and / or are red flags to buy or sell.
Its predictive capabilities will be able to save millions of traders from falling into financial trading traps and scams.
#9: Customizable AI trading assistants
Also, I bet we will see companies create their own trading assistants.
Similar to Siri, Alexa and Google.
You will have your own finance-savvy cousin ready to act on your trading needs.
Whether you want to trade, find setups, talk about tested systems, create new strategies, learn real time info about markets and instruments.
You’ll have your own AI trading assistant just call away.
#10: The rise of quantitative trading
Quant trading will soar to new heights.
AI will be able to crunch numbers and optimise strategies with high speed and precision.
This will make sense of complex financial models at lightning speed.
#11: Real-Time chart pattern identification
Eventually, AI will adapt machine and deep learning into charts.
We will finally see the day where market patterns, trends are identified on any time frame.
As they learn the bends, turns, vectors and consistency with the charts through predictive analysis from historical market data…
AI will adapt and learn to plot more accurate, recurring chart patterns and use them to predict future price movements on any market.
And AI will be able to scan hundreds of charts simultaneously and highlight significant patterns as they emerge. This will present high, medium and low probability setups for our trading.
#12: Past chart patterns predictive analyses
Not only will it identify real-time chart patterns.
It will also spot historical price patterns and insights that took place in the past.
This will help us to back test the systems and how they worked on particular markets.
AI will be able to identify the chart patterns that have proven to be most successful for that particular trader.
#13: Personalized and customised trading strategies
What if you have a new chart pattern you’d like to adapt into your analysis?
Well I’m sure AI will have the ability to learn, recognise and incorporate your chart patterns into the system.
This way you can personalise what chart patterns, candlestick patterns or strategies you would like customised to your style.
This means that each trader can have a unique set of chart patterns to look for, tailored to their trading style and risk tolerance.
This personalized approach can potentially enhance your trading performance and your profitability.
#14: Integration with other data sources
This will most likely be open-ended.
It’ll work via the network where AI will improve chart pattern recognition in financial trading by integrating with other data sources.
Imagine AI learns from millions of traders, millions of strategies, systems and new inputs.
I can only imagine that traditional manual chart pattern systems will be a thing of the past.
With the new set of systems, formation, price and volume data – we will see integration of brand new forms of analyses and strategies.
And this will bring a new era of financial trading.
Final Words and summary!
It’s all exciting and frightening at the same time.
Because with AI integration, we will see yet another shift in the algorithms and it’ll bring a new future for trading.
Only those who learn to adapt and evolve – will make it…
Let’s sum up all the AI elements that will we mentioned here.
#1: AI Trading Bots
#2: AI will alert more markets into our watch lists
#3: Real-time risk management
#4: Algorithmic automatic trading
#5: Sentiment Analysis: Read the market’s mood
#6. Freeing humans from the grind
#7: Automation: Back and forward testing
#8. Pre-emptive fraud detectors
#9: Customizable AI trading assistants
#10: The rise of quantitative trading
#11: Real-Time chart pattern identification
#12: Past chart patterns predictive analyses
#13: Personalized and customised trading strategies
#14: Integration with other data sources
GRT (The Graph)----->Long (30X)Hello to all crypto players
If you like to risk a small part of your portfolio, but you are not interested in meme coins, then pay attention to this BINANCE:GRTUSDT !
The Graph is an indexing protocol for querying data for networks like Ethereum and IPFS, powering many applications in both DeFi and the broader Web3 ecosystem. Anyone can build and publish open APIs, called subgraphs, that applications can query using GraphQL to retrieve blockchain data. There is a hosted service in production that makes it easy for developers to get started building on The Graph and the decentralized network will be launching later this year. The Graph currently supports indexing data from Ethereum, IPFS and POA, with more networks coming soon.
Market cap
9.04%
$1,187,268,975
#46
Volume (24h)
31.61%
$127,555,041
#44
Volume/Market cap (24h)
10.74%
Circulating supply
9,281,136,914 GRT
Total supply
10,777,673,677 GRT
Max. supply
∞
Fully diluted market cap
$1,378,602,800
My view:
A token from the artificial intelligence category with excellent fundamentals and technicals and almost Circulating supply 100% and a drop of 95% from the ATH.
But don't rush to enter because to confirm the start of the main bullish rally:
We need to break the yellow line with strength and momentum and stabilize the price above that area.
My setup:
Entry after yellow line breakout
(0.17$)
TP In order of time frame and probability
0.72$
1.13$
1.7$
2.8$
.
.
.
4.7$ very imaginative goal
7.4$ very imaginative goal
BITCOIN Analysis & Forecast 11.3.23 (AI Assisted)Watch the video version to see how this was generated ... your mileage may vary !!!
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Key Statistics and Technicals:
- Bitcoin Price: $34,474.71 (A drop of $516.32 or -1.48% for the day)
- Day's Range: $34,347.89 - $34,997.81
- 52 Week Range: $15,479.25 - $60,324.21
- Volume: 94
- Average Volume (10 days): 370
- Market Cap: $673.041B
- FD Market Cap: $723.638B
Performance Metrics:
- 1 Week: +0.82%
- 1 Month: +25.57%
- 3 Months: +16.65%
- 6 Months: +19.65%
- YTD: +108.73%
- 1 Year: +70.95%
FUNDAMENTAL ANALYSIS:
News headlines reveal a mixed sentiment. On one hand, there are articles suggesting potential upside (e.g., "Bitcoin could be getting ready for a strong bull move"), while others indicate possible drawbacks (e.g., "Bitcoin price in risky territory; BTC faces "massively overvalued" stock").
The day's range, which is a difference of 654.92 USD, suggests a relatively moderate intraday volatility. Considering the 52wk range, Bitcoin is trading near its 52-week high, which can be an indicator of bullish momentum, but it also brings an increased risk of a correction or pullback.
Another critical aspect to consider is the broader macroeconomic environment.
Several news articles allude to potential regulatory changes, institutional involvement, and specific events that might influence price (e.g., "PayPal freezes Crypto kiosk after brief sell-out boom" or "Argentinian Presidential Candidate's Plan to Mine BTC Stirs Debate").
Positive Sentiment -
- "MicroStrategy gains $500 million with Bitcoin rise in Q3 2023."
- "Spot ETF 'undoubtedly' launch isn't guaranteed to sink Alts, Analysts say."
- "Bitcoin hits new ATH at $36,000 as rally seems unstoppable."
- "BTC hitting $34k could spell good news for altcoins."
- "Bitcoin's price is mostly flat as Fed holds rates steady, denies macro shift."
Negative Sentiment -
- "Is Bitcoin due a "significant" correction?"
- "ETF launch stokes fears Bitcoin and Ether trading with flash crash risks."
- "New BTC price 'breakouts see Bitcoin traders' caution lengthens to six-week."
- "Crypto volatility surges; Analysts say be ready for a drop."
- "Bitcoin's price volatility hints another increase 'On the Cards'?"
Weighting -
- Positive Sentiment: 40%
- Negative Sentiment: 60%
- Technical Indicators: Neutral with a tilt towards Strong Buy
Upside Potential -
Given the recent all-time high and positive sentiment from various news outlets, there's potential for BTC to retest its recent high at $36,000. Based on current momentum and historical performance, this could happen within the next 2-3 weeks. Probability: 60%
Downside Potential -
Considering the mixed sentiments and potential for a significant correction, BTC might see a drop towards the $32,000 - $33,000 range in the short term. This pullback might offer a buying opportunity. Probability: 40%
Misc. Observations -
Bitcoin (BTC): Currently, at $35428.53, it's up by 2.22%. Its dominance stands at 53.98%. The total market cap excluding BTC and ETH is at $368.143B.
Highest Gainers:
- Alchemy Pay / United States Dollar: +20.64%
- CELO / US Dollar: +11.06%
- Amp / United States Dollar: +8.70%
Highest Losers:
- XDC / Dollar: -3.27%
- Tezos / United States Dollar: -3.30%
- Gods Unchained / United States Dollar: -1.04%
High Volume Movers:
- Crypto Total Market Cap Exclude BTC and ETH: 88.333B
- Bitcoin / U.S. Dollar: 283.834K
- Litecoin / U.S. Dollar: 267.107K
Bitcoin remains a dominant force with more than half of the total crypto market share.
PoW cryptos such as Ethereum Classic and Horizen are seeing positive traction.
Amp, under the Currency/Remittance category, has a significant volume, making it one to watch closely.
Among investment-grade cryptos, CELO's 11.06% increase is notable, indicating increased interest or potential news driving the spike.
Contrarian Perspective:
High gains like those seen in ACH and CELO might face corrections. High gains in a short time frame can sometimes indicate overbuying, leading to potential profit-taking shortly after.
Bitcoin's dominance, while significant, means that a downturn in its price can significantly influence the entire crypto market.
. . . . . . . . .
INDICATOR SUITE:
Tesla Coil:
- len: 23.39
- 3xlen: 70.17
- len mirror: 16.61
- 3xlen mirror: -24.3
- average mirror: -5.06
- average: 34.94
Rate-of-Change (RoC):
- RoC: 32.74
- RoC + Signal Line Cross Up: 0.00
- RoC + Signal Line Cross Down: 0.00
- Various other sub-indicators including Bull, Hidden Bull, etc.
ATR + sma histogram:
- Histogram: 367.34
- ATR: 1102.50
- SMA: 735.16
OnBalanceVolume (OBV Cross):
- OnBalanceVolume: 7.579M
- Smoothing Line: 7.473M
Volume Analysis:
- Various plots ranging from 0.00 to 57892.77
HVol (dcedcow):
- Volume: 10.37K
RVol Pro:
- Value: 10.37K
Range Analysis - By Leviathan:
- VWAP: 27830.88
ADP:
- Primary ADP: 73
- Secondary ADP: 71
- Primary Signal Line: 71
- Secondary Signal Line: 68
Discretionary Weightings: Given the information and its relevance to Volume Spread Analysis (VSA) and Volatility …
- OnBalanceVolume (OBV): High importance. OBV measures the positive and negative flow of volume in a security relative to its price.
- ATR: High importance. Captures an asset's volatility.
- RoC: Medium importance. Measures the percentage change in price from one period to the next.
- Tesla Coil: Low to medium. Provides multiple layers of data related to price action.
Technical Analysis of Indicators:
- Tesla Coil: The chart seems to be in a consolidation phase, with the coil suggesting a possible breakout soon.
- Rate of Change: The ROC is relatively stable. This stability may suggest that the prevailing trend, be it bullish or bearish, is likely to continue.
- Average True Range: The ATR has remained consistent, suggesting that the current level of volatility is sustained. A higher ATR suggests increasing volatility, which might mean Bitcoin is experiencing significant price swings.
- On-Balance Volume (OBV): OBV indicates net buying/selling pressure. A declining OBV hints at a potential trend reversal, as volume precedes price. The OBV value is quite close to its smoothing line, indicating a balanced sentiment in the market.
- Time-Segmented Volume: This appears to be more bullish, suggesting institutional buying.
- Volume Spread: We see periods of high volume spread, indicating strong buying and selling forces.
- Accumulation/Distribution: The line suggests more distribution than accumulation recently, a potential bearish signal.
Price Projection: Given the current trend and indicators …
- Upside Potential: BTC could test its recent ATH at $36,000. Based on current momentum and external factors like institutional involvement, there's a 60% probability of reaching $36,500 within the next 2-3 weeks.
- Downside Risk: Considering negative news sentiment and potential regulatory challenges, BTC might face support at around $32,000. If this support breaks, we could see a further decline to $30,000 with a 40% probability over the next month.
Insights & Actionable Suggestions:
- Volatility & Volume: The ATR of 1102.50 indicates a high level of volatility for BTC in its daily price movement. The current volume is below its 10-day average, suggesting lower trading activity.
- RoC Indication: A positive RoC of 32.74 suggests the price momentum is currently bullish.
- OBV Insight: The OnBalanceVolume is slightly higher than its smoothing line, indicating that volume on up days is generally outpacing volume on down days. This can be a bullish sign.
- Performance Metrics: BTC has seen a robust performance YTD with a growth of 108.73%. It's essential to note that despite short-term fluctuations, the long-term trend over the past year has been bullish.
Visual Representation: For a visual, consider plotting the mentioned levels on your chart -
- Support at $32,000 (red line)
- Resistance or next target at $36,500 (green line)
- Current price at $34,522.66 (blue line)
- Potential zones of interest (in a shaded region) between the support and resistance.
Additional Indicator Suggestion: Considering the current market conditions and to get a better understanding of the underlying trend strength, I'd suggest incorporating the Directional Movement Index (DMI). DMI can help ascertain if the trend is strong or weak, and when used with the ADX line, it can further validate the strength of bullish or bearish sentiments. This could be pivotal in the given circumstances where the market appears to be at an inflection point.
Lastly, given the data at hand, what are your thoughts on the potential for Market Makers or institutions manipulating the current BTC price, especially considering the evident bullish sentiment? Do you believe there might be an underlying play to hunt for retail liquidity?
. . . . . . . . .
PRICE ACTION ANALYSIS (1D):
Initial Observations:
- Volume Profile: The chart showcases a fixed range volume profile to the left. The Point of Control (POC) - the price level with the most traded volume - is clearly visible around the 24848.00 mark.
- Volume-at-Time Histogram: There’s a significant volume spike around the range of $18000-$21000, indicating a possible support level or accumulation zone.
- Accumulation/Distribution & Time-Segmented Volume: The accumulation/distribution line is gradually inclining upwards, suggesting a net inflow of volume or accumulation. The time-segmented volume also points towards a bullish sentiment.
- Tesla Coil & Average True Range (ATR): The Tesla Coil's movement seems relatively stable. ATR, representing volatility, is increasing, suggesting possible strong price movements in the near term.
- Price Action: The recent price action exhibits a bullish momentum, breaking through a significant resistance level.
VSA-Derived Forecast:
- The strong accumulation and high traded volume at lower price levels hint at a bullish sentiment among traders. Institutions or market makers seem to have absorbed selling pressure around the $18000-$21000 range.
- The upward trend in accumulation/distribution points towards a continued bullish trend.
- Given the elevated ATR, expect larger price swings, both up and down, in the coming days.
Reconciliation with 1D Price Chart:
- The price is currently moving within an upward channel. Its recent breakout indicates a potential continuation of the bullish trend.
- While the price is approaching a Fibonacci level, considering the strong volume and accumulation signs, it's likely to test the next Fibonacci level upwards.
- The intersection of the VWAP at 24848.00 with the POC can act as a significant support level in the event of a pullback.
Improved Forecast:
Upside Potential: Given the strong bullish sentiment from both VSA and price action, expect Bitcoin to test the 0.236 Fibonacci level in the near term, which could act as a minor resistance. On breaking this, it could move towards the 0 level.
- Entry Point: Current level or on a minor pullback to the recent breakout zone.
- Stop Loss: Just below the VWAP at around 24000.
- Profit Target: 0.236 Fibonacci level as the first target and 0 level as the next target.
- Risk:Reward: Approximately 1:3, given the distance between the current price and the stop loss compared to the potential upside.
- Time Horizon: 2-4 weeks.
- Probability: 70% for reaching the 0.236 level, 50% for reaching the 0 level.
Downside Potential: If there's a reversal, expect Bitcoin to find strong support around the VWAP (24848.00) due to the volume profile.
- Entry Point: If the price fails to maintain the breakout level.
- Stop Loss: Above the recent high.
- Profit Target: 24848.00.
- Risk:Reward: Approximately 1:2.5.
- Time Horizon: 2-3 weeks.
- Probability: 30% given the current bullish sentiment.
. . . . . . . . .
PRICE ACTION ANALYSIS (1W):
The 1W (weekly) chart provides a wider perspective and thus offers a broader context to the previous 1D (daily) view. Here's a detailed analysis:
1. Price Action Analysis:
- Fibonacci levels: On this broader scale, we observe Bitcoin's price respecting various Fibonacci levels, notably the 0.236 and 0.618.
- Structure: The significant pullback after the previous bullish run suggests a possible correction or consolidation phase.
2. Volume Spread Analysis (VSA):
- Volume-at-Time histograms: There's a clear Point-of-Control (POC) around the $27,650 level, indicating it's a key price point where a significant amount of trading has taken place.
- Accumulation/Distribution: The accumulation phase seems prominent before the surge that occurred around late 2020, suggesting institutional involvement. Post-2020, we see a distribution phase followed by a consolidation pattern.
- On Balance Volume: This shows that the volume is moving with the trend. The current trajectory indicates possible accumulation.
3. Volatility:
- Tesla Coil: Notably calmer, implying reduced volatility on the longer time frame.
- Average True Range (ATR): Volatility seems to be tapering off from previous highs. This reduction in volatility on a weekly chart could imply a significant move is brewing.
4. Trend Exhaustion:
- We're witnessing signs of consolidation post the previous rally. The intersecting points of the VWAP and other tools can provide potential points of volatility, which we should monitor closely.
Given this wider perspective:
Upside Potential: The break above the VWAP around $27,650 and stabilizing above the 0.236 Fibonacci level suggests potential for upside momentum. A break above recent highs could target the next Fibonacci level at 0.618.
- Entry: Around the current price level.
- Stop Loss: Below the 0.236 Fibonacci level.
- Profit Target: Just below the 0.618 Fibonacci.
- Risk:Reward: Approximately 1:2.5.
- Time Horizon: 3-6 months.
- Probability: 60%.
Downside Potential: If Bitcoin's price fails to sustain above the VWAP and breaks below the 0.236 Fibonacci level, we could see a further decline towards the lower Fibonacci levels.
- Entry: On confirmed break below 0.236 Fibonacci.
- Stop Loss: Above recent swing high.
- Profit Target: Next Fibonacci level below.
- Risk:Reward: Approximately 1:2.
- Time Horizon: 2-4 months.
- Probability: 40%.
Additional Indicator Suggestion: Given the importance of trend direction in this scenario, consider integrating the Parabolic SAR (Stop and Reverse) for this timeframe. The Parabolic SAR can provide dynamic entry and exit points and can be particularly useful in trending markets.
. . . . . . . . .
PRICE ACTION ANALYSIS (1h):
Volume Spread Analysis (VSA):
- Volume Profile: A prominent high volume node appears around $33,000, indicating a strong support level. The Point-of-Control (POC) is visibly marked and rests just above this.
- Time-Segmented Volume: There's a noticeable surge in volume during the rapid price ascent, followed by a decline, suggesting a possible buying exhaustion.
Volatility:
- Tesla Coil: Relative stability is observed with slight periodic spikes, indicating contained volatility.
- Average True Range (ATR): No drastic peaks, which suggests that the price movement remains within a typical range for the time being.
Trend Exhaustion:
- The price is approaching the upper Fibonacci level (0.236). Should it break, we might expect a rally towards the next Fibonacci level (0.382). However, the consistent touch-points without breakthrough hint at resistance.
- The VWAP (Volume Weighted Average Price) sits below the current price, suggesting the asset is trading at a premium.
Indicators:
- On Balance Volume (OBV): Displays an uptrend, suggesting buying pressure. However, the recent flattening can be a sign of a possible decline in this momentum.
- Volume Spread: The lack of prominent bearish bars with increased volume indicates that selling pressure isn't dominant.
Forecast & Trading Strategy:
-Short-Term Bullish Scenario (60% probability):
- Entry: $34,200
- Stop Loss: $33,400 (near the high volume node for support)
- Profit Target: $35,500 (approaching the 0.236 Fibonacci level)
- Risk:Reward: 1:2.6
- Time Horizon: 24-48 hours.
-Short-Term Bearish Scenario (40% probability):
- Entry: $33,800 upon breaking below the support.
- Stop Loss: $34,200
- Profit Target: $33,000 (next volume node)
- Risk:Reward: 1:2
- Time Horizon: 24-48 hours.
Session-Based Volatility:Considering typical crypto market behavior, anticipate increased volatility during the overlap of the Asian and European sessions and the opening of the New York session.
Trading windows:
- Asian-European Overlap: 6:00-9:00 UTC
- New York Session Opening: 13:00-15:00 UTC
Questions:
- Are there any macroeconomic events or news catalysts anticipated which might influence BTC's price action during our forecasted horizon?
- Considering your strategy revolves around Market Makers and institutional manipulation, have you noticed any recent patterns or behaviors in other assets that might indicate a larger play in Bitcoin?
. . . . . . . . .
PRICE ACTION ANALYSIS (15m):
Price Action: The recent sharp decline indicates a strong bearish momentum, though the price has started consolidating within the $33,800 to $34,600 range. This consolidation is a good sign, showing that the decline might be temporary, or at least, we might experience some sideways movement for a while.
Volume Spread Analysis (VSA):
- We can spot a series of high volume spikes during price declines, indicating potential buying pressure or accumulation. The high volume during the decline around the 29th and subsequent upward movement confirms a potential bullish outlook.
- The Point of Control (POC) shown appears to be a significant support level where most trading has occurred. Prices tend to gravitate towards the POC, so this can be a potential target in retracement scenarios.
Indicators:
- Tesla Coil: Shows signs of potential volatility with multiple peaks, but currently, it's maintaining stability, hinting that the current volatility is diminishing and suggesting we might be entering a phase of price consolidation.
- Rate of Change (ROC): It's fluctuating around the 0 line, signaling a probable shift in momentum. However, the current consolidation means a lack of directional bias.
- Average True Range (ATR): Seems to be decreasing, aligning with the Tesla Coil's inference.
- On-Balance Volume (OBV): A mild decline is noticed, hinting that selling volume has been slightly overpowering buying volume, but not decisively so.
- Time-Segmented Volume: The chart indicates more buying during certain periods, suggesting institutional interest at these levels.
- Volume Spread: Shows accumulation rather than distribution, reinforcing the bullish bias.
- Accumulation/Distribution: Displays a divergence. Even though the price made a lower low, the A/D made a higher low, suggesting underlying buying pressure. This could suggest potential upside if this trend continues.
Harmonic Patterns: There's a completion of a bullish harmonic pattern (potential Gartley or Bat) with the price touching the 0.786 retracement level and bouncing back, reinforcing a potential bullish move. Several harmonics appear to have reached completion, suggesting potential reversal zones. The intersection of these patterns with session-based volatility peaks can give ideal entry and exit points.
Session-based Volatility:
- It's evident that the price experiences heightened volatility during the overlap of the Asian (Tokyo) and European (London) sessions, and similarly, during the overlap of the European and American (New York) sessions. This suggests two potential windows for scalping opportunities: One shortly after the Tokyo open (when European traders are still active) and another after the London open (when American traders enter the fray).
Forecast and Trading Windows:
- Short-Term Bullish Bias: The recent bounce from the 0.786 level suggests a move towards the 0.382 and 0.236 levels as immediate targets. For scalping, consider long entries on pullbacks near significant support zones, like the POC or the lower boundary of the pitchfork.
Entry Point: Around $34,600 (near POC)
Stop Loss: $34,400 (below the recent swing low)
Profit Target 1: $34,800 (0.382 level)
Profit Target 2: $35,000 (0.236 level)
Risk:Reward: Approximately 1:2 and 1:4 for the two targets, respectively.
Time Horizon: Given it's a 15m chart, this strategy might play out in the next 12-36 hours.
Probability: Medium-High. Multiple indicators and VSA align with this bullish outlook, but always be prepared for unexpected events, especially in the crypto space.
Enhancements based on the 15m chart:
- The shorter timeframe provides a granular view of price movements and allows for precise identification of entry and exit points.
- The session-based volatility observed aligns with typical forex market behaviors and can be used strategically for scalping.
Forecast: Given the indicators and chart patterns, there's a probable upside potential in the short term. The price might test the $34,600 resistance before determining its next move.
Trade Recommendations:
- Long Position:
- Entry: Around $34,100 (after confirming the breakout of consolidation)
- Stop Loss: $33,700 (below the 0.786 Fibonacci level)
- Profit Target: $34,600
- Risk:Reward ratio: Approx. 1:2
- Time Horizon: 24-48 hours (given the 15m timeframe)
- Probability: ~60% (based on current indicators and patterns)
Contrarian Perspective: While multiple signs point to a short-term bullish move, it's crucial to consider the flip side. The price could reject the upper boundaries of the pitchfork, and a decrease in volume could indicate fading buyer interest. A clear break below the POC might negate the bullish outlook.
Remember to adjust positions based on real-time data, especially during high volatility sessions. Your thoughts?
. . . . . . . . .
Trade Ideas:
1D Chart - Swing Trading
The fixed range volume profile indicates substantial support in the vicinity of $32,500, making it an optimal region for establishing a position. The VWAP, marked at $24,848.00, acts as a historical average price, and the current price is well above this level, showing bullish sentiment. The intersection of Fibonacci levels with price action is noteworthy, especially around the 0.236 region. Accumulation/Distribution indicates a strong buying pressure, and the Tesla Coil along with Average True Range confirms the present volatility.
-Optimal Long Position:
- Entry Point: $34,400 (nearest to the day's low with support indicated by the volume profile).
- Stop Loss: $33,500 (just below daily ATR value, providing a buffer).
- Profit Target: $36,000 (near the 52-week range midpoint).
- Risk:Reward Ratio: 1:3.
- Time Horizon: 2-3 weeks.
- Probability: 65%.
Short Position: Though the current trend is bullish, potential trend exhaustion can be anticipated by observing the Price Action with Fibonacci channels and overlapping Pitchforks. The region above $36,000 might act as a strong resistance given the proximity to the 52-week high and the subsequent volume gap.
-Optimal Short Position:
- Entry Point: If Bitcoin drops below $34,200.
- Stop Loss: $34,700 (considering day's high).
- Profit Target: $32,500 (slightly above the ATR's lower range).
- Risk:Reward Ratio: 1:3.5.
- Time Horizon: 1-2 weeks.
- Probability: 35%.
. . . . . . . . .
1h Chart (and below) - Scalping
- Long Position:
- Entry Point: A buy order slightly above the recent consolidation zone, around $33,200.
- Stop Loss: $31,500 (Just below the Point of Control).
- Profit Target: The first target is at the next volume void around $34,700. A secondary target, if momentum persists, is at $36,500.
- Risk:Reward Ratio: For the first target, the risk:reward is roughly 1:3. For the secondary target, it's approximately 1:6.5.
- Time Horizon: Given the 1-hour chart, anticipate this trade to play out in the next 12-48 hours.
- Probability: Estimating a 65% chance of reaching the first target and a 40% chance of hitting the secondary target, given current consolidation and volume analysis.
. . . . . . . . .
Analyzing a Potential Bearish Channel: BTCUSD Medium-Term IdeaDear TradingView Community,
I share a medium-term outlook with you all. Please bear in mind that this prediction is subject to short-term price fluctuations, and its outcome hinges on how various technical factors align. Our AI system, having drawn insights from deep neural network analysis, has detected the potential emergence of a bearish channel pattern.
O n the chart's left side, you'll find a historical record of the linear regression algorithm's past accuracy. These patterns held on the given dates. However, since October 23, 2023, we have observed the formation of a possible rising channel pattern, which typically indicates a bearish trend. It's essential to remember that historical results don't guarantee future returns of investments.
S o, what technical indicators support the notion of a bearish channel pattern? Notably, the volume has declined since the mentioned date, hinting at consolidation or more. Historical data has shown that volume patterns often align with channel formations. It underscores the importance of the volume indicator about the channel pattern idea.
F urthermore, on November 01, 2023, many traders opened short positions, leading to a market shakeup that resulted in numerous liquidations within 12 hours. In chart analysis, channels frequently feature candles of various colors, as illustrated by the colored boxes on our chart. If we encase the 4-hour candles since the initial date within a similar rectangle, we already see a diverse range of candle colors. This candle analysis complements our bearish outlook.
I f the bearish channel materializes and Bitcoin (BTC) begins a descent on the BTCUSD market, standard patterns suggest the price could drop below $32,000 (marked by the horizontal white line). It might dip below $31,000 (indicated by the dotted horizontal line). While various indicators align with the possibility of a rising channel on the charts, it's crucial to recognize that this pattern is not confirmed yet. There's a chance that we may not witness this pattern at all in the coming months.
T herefore, I encourage caution and prioritizing the safety of your existing funds over aggressive day trading. Your financial security should always be your primary objective.
tl;dr
Position: Short
Target Price: $33000-$31000
Possible Pattern: Rising Channel
Near Trend: Bullish
Medium Trend: Potentially Bearish
Indicators: Candles, Volume, Tops and bottoms, Trendlines, Liquidation Metrics
Important: Don't forget your stop loss and trail profit if you decide to put any positions.
Have any questions? If you ask, we answer.
Warm regards,
ELY
AI-Assisted Prospecting for Insider Trading Opportunities - ALGNInsider Trading and Corporate Activity Analysis:
Insider trading activities can provide crucial insights into a company's prospects and internal sentiment. Align Technology, Inc. (ALGN) has recently made notable moves in this context:
* Align Capital Agreement & Stock/Bonds Purchase Approval: In January 2023, ALGN secured a new agreement with Align Capital, R.S. Puram, and received approval from 60% of Directors for Stock and Bonds Purchase/Share Rights. These actions indicate the company's optimism about its stock's future performance.
* $250 Million Technology Repurchase Agreement: The announcement of a $250 Million Technology Repurchase Agreement further demonstrates ALGN's confidence in its stock's value.
News Flow Analysis:
Recent news articles shed light on ALGN's current state and market sentiment -
* $250 Million Accelerated Stock Repurchase Deal: ALGN's intent to return value to shareholders reflects confidence in its stock value.
* Accelerated Buybacks After Stock Drop: This move seems to be a reaction to counterbalance a significant price decline, potentially signaling undervaluation.
* Expected Completion of ASR Transaction: The transaction, funded with Align's cash, is expected to conclude by approximately January 30, 2024.
* New Accelerated Stock Repurchase Agreement: ALGN entered an agreement to repurchase $250 million of its common stock, emphasizing its aggressive buyback strategy.
* Stock Performance After Earnings: Despite softer-than-expected earnings, market analysts retain a positive outlook on the stock.
* Piper Sandler Price Target Adjustment: While there's a downward adjustment in price target, it still suggests a potential upside from the current price.
Financial Analysis:
* Earnings Expectation (Q3 2023): ALGN anticipates a YoY increase in earnings with higher revenues for Q3 2023.
* Earnings Report Date: October 25, 2023.
* Forecasted Earnings: $2.27 per share (YoY change of +66.9%).
* Expected Revenue: $1 billion (up 12.4% YoY).
* Earnings ESP: -3.84% (suggesting bearish sentiment among analysts).
* Zack’s Rank: #2 (Buy).
* Historical Performance: ALGN has exceeded consensus EPS estimates 3 out of the last 4 quarters.
Takeaway:
Despite recent bearish sentiment from analysts, ALGN's history of surpassing EPS estimates and its strong Zack’s Rank suggests the potential for a positive earnings surprise.
Contrarian Perspective:
While ALGN's upcoming earnings report holds promise, the broader tech sector faces challenges due to chip shortages. Any adverse impact on ALGN's operations or earnings falling short of expectations could exert downward pressure on the stock. Investors should pay close attention to the earnings call for insights into business conditions and future guidance.
Long Position on Align Technology (ALGN):
* Entry Point: Current market price +/- $185.20 or below, or ideally as low as $183
* Stop Loss: Tight @ $180.31 or less, or as low as $180
* Profit Targets: $196.44 (partial/swing) / $212.31 (close)
* Time Horizon: Before end of winter, 2024 (late February)
* Probability: +/- 70% up to "Partial Profit" target (due to positive sentiment around stock repurchase, according to ChatGPT)
Watch the Livestream ...
A Glimpse Into the Future of AI Companies StocksInvesting in AI companies can be a wise decision, but like any investment, it is important to do your research and understand the potential risks and rewards. Companies such as UiPath, Intuitive Surgical, and Palantir Technologies have seen significant growth in recent years, but it is important to consider their market capitalization and share prices before investing.
UiPath, a software automation company, went public in April 2021 with an initial market capitalization of around $36 billion.
Intuitive Surgical, a company that produces surgical robots, has a market capitalization of over $93 billion.
Palantir Technologies, a data analytics company, went public in September 2020 with an initial market capitalization of around $22 billion.
It is also important to consider the rating of the shares and the security of the company before investing. For example, UiPath was rated as a buy by several analysts following its IPO, but investors should also consider the potential risks and competition in the market.
In terms of upcoming IPOs, there are several AI companies that are expected to go public in the near future, including UiPath's competitor Automation Anywhere, online education platform Coursera, Google’s company Waymo, and others.
As with any investment, it is important to do your own research and consult with a financial advisor before making any decisions. While the investment potential of these companies is undoubtedly significant, investors should be aware of the risks involved in investing in new and untested technologies. AI companies are subject to a variety of risks, including regulatory risk, intellectual property risk, and competition from other companies in the sector. As such, investors should carefully consider their investment options and consult with a financial advisor before making any investment decisions.
In terms of investment potential, it's important to note that investing in AI Companies can be risky, as with any new technology. However, for those willing to take the risk, the potential rewards could be substantial. The key is to do your research and choose companies that have a solid business plan and a proven track record of success. It's also important to keep an eye on the broader market trends and economic indicators, as these can have a significant impact on the success of any investment.
When it comes to security, AI technology is still in its early stages and there are certainly risks involved. However, companies that are dedicated to building secure AI systems and investing in the necessary security measures should be able to mitigate these risks to some extent. It's also important to note that as AI technology continues to evolve, so too will the security measures that are needed to protect it.
As AI technology becomes more advanced and more widely adopted, there will be a growing demand for companies that can provide innovative solutions in this space. This presents a significant opportunity for investors who are willing to take a long-term view and invest in companies that are dedicated to the ongoing development of AI technology.
-----------------------------------------------
Risk Warning
Trading stocks and options is a risky activity and can result in losses. You should only trade if you understand the risks involved and are comfortable with the potential for losses.
Risk Disclaimer!
General Risk Warning: Trading on the Financial Markets, Stock Exchange and all its asset derivatives is highly speculative and may not be suitable for all investors. Only invest with money you can afford to lose and ensure that you fully understand the risks involved. It is important that you understand how Trading and Investing on the stock exchange works and that you consider whether you can afford the high risk of loss
Rating: Risky Buy with High Upwards Potential
Risk Disclaimer!
The article and the data is for general information use only, not advice!
Nvidia (NVDA) -> Path Ahead Is ClearMy name is Philip, I am a German swing-trader with 4+ years of trading experience and I only trade stocks , crypto , options and indices 🖥️
I only focus on the higher timeframes because this allows me to massively capitalize on the major market swings and cycles without getting caught up in the short term noise.
This is how you build real long term wealth!
In today's anaylsis I want to take a look at the bigger picture on Nvidia.
After Nvidia - just a couple of months ago - perfectly retested the bottom support trendline of the rising channel at the $120 level Nvidia stock pumped more than 300% towards the upside.
We do have next resistance coming in at the $600 level and although Nvidia looks quite overextended, I do expect more bullish continuation to retest the upper channel trendline.
- - - - - - - - - - - - - - - - - - - -
I know that this is a quite simple trading approach but over the past 4 years I've realized that simplicity and consistency are much more important than any trading strategy.
Keep the long term vision🫡
Broadcom (AVGO) -> Stronger Than NvidiaMy name is Philip, I am a German swing-trader with 4+ years of trading experience and I only trade stocks , crypto , options and indices 🖥️
I only focus on the higher timeframes because this allows me to massively capitalize on the major market swings and cycles without getting caught up in the short term noise.
This is how you build real long term wealth!
In today's anaylsis I want to take a look at the bigger picture on Broadcom.
Over the past 12 months Broadcom stock rallied more than 120% towards the upside, following the major hype in the whole semiconductor and AI sector.
After this recent pump it is quite expected that we will see a short term correction and if Broadcom retests the previous all time high at $630, this will be a perfectly bullish setup.
- - - - - - - - - - - - - - - - - - - -
I know that this is a quite simple trading approach but over the past 4 years I've realized that simplicity and consistency are much more important than any trading strategy.
Keep the long term vision🫡
Interesting Signal from Google BardBard’s response: (in my opinion that was interesting)
Reference: Bard.Google.Com
Based on the image you sent, I see a bearish flag pattern in the USDJPY chart. The price has been in a downtrend since June 2023, and it has recently formed a flagpole. The flagpole is a narrower range of price movement that follows a sharp move in one direction. In this case, the sharp move was down.
The flag is pointing up, which indicates that the bears may be losing momentum. However, the MACD indicator is still bearish, so it is possible that the bears will continue to push the price lower.
The good rate for going to a sell order is at the top of the flag, which is around 147.50. The price could drop to the bottom of the flag, which is around 146.50. However, it is important to remember that this is just a technical analysis, and the actual price movement of USDJPY could go either way.
Here are some other factors to consider when making your decision:
The overall market sentiment is bearish. Many investors are worried about the global economy and the potential for a recession. This could weigh on the price of USDJPY.
The US dollar is strengthening against other currencies. This is because the Federal Reserve is expected to raise interest rates more aggressively than other central banks. A stronger US dollar could make it more difficult for Japanese exporters to compete, which could put downward pressure on the value of the Japanese yen.
The Japanese economy is slowing down. This is due to a number of factors, including the global slowdown and the ongoing trade war between the US and China. A weaker Japanese economy could also put downward pressure on the value of the Japanese yen.
Ultimately, the decision of whether to buy or sell USDJPY is up to you. Do your own research and make an informed decision.
Google -> Trading The Major Swings...Hello Traders and Investors ,
my name is Philip and today I will provide a free and educational multi-timeframe technical analysis of Google 💪
Just a couple of months ago Google stock perfectly retested a major monthly bullish trendline and in confluence with a retest of the 0.618 fibonacci level we already had a major rally of more than 50% towards the upside.
If you are looking at the weekly timeframe you can also see that Google stock just broke above and retested the strong psychological $125 level and everything is looking massively bullish.
Finally I am now just waiting for another retest of the daily $132 level and after some bullish rejection everything is pointing towards more bullish upside.
Keep in mind: Don't get caught up in short term moves and always look at the long term picture; building wealth is a marathon and not a quick sprint📈
Thank you for watching and I will see you tomorrow!
My previous analysis of this asset:
Nvidia -> 100% New All Time Highs!Hello Traders and Investors ,
my name is Philip and today I will provide a free and educational multi-timeframe technical analysis of Nvidia 💪
A couple of months ago Nvidia perfectly retested the lower support trendline of the major monthly rising channel and the next resistance towards the upside is roughly at the $750level.
You can see that Nvidia still looks a little bit overextended on the weekly timeframe but therefore I do expect the bullish momentum to continue for the next couple of weeks.
With the recent break and retest of the $470 daily structure zone, market structure on Nvidia is now back to bullish and it will just be a matter of days until Nvidia creates a new all time high.
Keep in mind: Don't get caught up in short term moves and always look at the long term picture; building wealth is a marathon and not a quick sprint📈
Thank you for watching and I will see you tomorrow!
My previous analysis of this asset:
ETH Bullish From Here? Looking at our TA on ETH combined with our new AI/Machine learning indicators (releasing soon), we can see ETH is setting up for another bullish run. Our indicators have called the tops and bottoms pretty accurately, now it looks like we may have short-term upside.
The big levels to watch out for are 1815 (support) and 1850 (resistance). If Ethereum cracks 1815 then that would invalidate our bullish thesis and set for a potential fall to 1780 then further of 1650. Although if we break 1850, then that sets clear skies to our next target of 1900, followed by 2000.
As we're in this current chop, we always advise everyone to never force a trade and wait for a trade to come to you. This means waiting until multiple indications signal a buy (oversold at support, etc) or vice versa. Trading is all about discipline and those who don't have it will quickly be humbled.
If you enjoyed our TA or have any questions about our upcoming indicator release, please comment below or send us a DM :)
Palantir PLTR over-heated and due to Cool OffMost powerful thing he said: Infrastructure. 10 years lasting trend. Unimaginable money the government has been pouring into it. I'd add to that anything to do with reshoring as well.
AI + Finance = The Future
Microsoft Challenges Fib 3.618 levelMicrosoft - NASDAQ:MSFT
Expectations were beat across the board today but what does the long term monthly chart tell us? All is revealed in the chart. This is a key moment for NASDAQ:MSFT and a pull back or break through to established new highs wouldn't surprise. I'm happy to wait for the confirmations outlined in the chart. That MACD cross though looks appealing.
Earnings Summary
- Profits jumped 20% to 20.1 b
- EPS: $2.69 / Exp $2.56
- Revenue: $56.19B / Exp $55.49B
- Azure (cloud) revenue up 26% / Exp 27%
ocean retest and long targetsim looking to retest off the 0.382 fib which is also the bottom trendline @ 0.387 then target of 0.44cents
Differentiating your AI exposure from the Nasdaq-100The Nasdaq-100 has recorded its best H1 since the inception of the index in 1985, propelled by the year-to-date rally in the biggest tech stocks riding the artificial intelligence (AI) wave. For investors looking to benefit from the long-term growth offered by the AI megatrend, this period presents an opportunity to analyse how the AI-focused thematic strategies have fared in such a market and how they could perform going forward.
In the first part of this two-part blog series, we discussed the case for a targeted AI strategy vs achieving exposure to AI through the Nasdaq-100. The key factors in favour of an AI strategy included a more comprehensive exposure to the breadth of AI activities, a potential inclusion of the mega caps of tomorrow, and diversification benefits. In this blog, we look at the AI space in Europe and discuss the signposts for investors in selecting a sound AI-focused thematic strategy and the importance of such a selection.
The drivers of return dispersion in the AI peer group
One of the simplest and most compelling arguments that not all AI strategies are created equal can be made by looking at the dispersion of returns within the AI peer group. The dispersion of returns across strategies aiming to harness the same theme is something that we continuously observe across a range of 42 themes tracked in our WisdomTree Thematic Universe1. This confirms that this phenomenon is not just specific to the AI theme.
Based on the 15 AI strategies with available year-to-date history in Europe, we have observed that the year-to-date return experience across the AI strategies has been quite different - ranging from around 13% to up to 43%. The average return across the strategies was around 29.75%, or 9.4% lower than the return of the Nasdaq-100. Given that returns of a range of AI stocks have been boosted by the growing enthusiasm around ChatGPT and generative AI, we would view relative outperformance vs the average return in the AI peer group as one of the factors potentially suggesting a promising AI strategy. However, an important question to answer here is if a given AI strategy has been driven by the performance of the same key stocks driving the performance of the Nasdaq-100, or if it has been propelled by other return drivers. If the latter is true, such a strategy can present a return enhancement play for investors holding the Nasdaq-100 as the broad tech benchmark.
While it is not always feasible to run performance attribution for each fund in the AI peer group, and assess how different its return drivers have been in contrast to the Nasdaq-100, we have observed that this dispersion boils down to strategy design, and how each fund is meant to capture the opportunities offered by the proliferation of AI.
For example, in our WisdomTree Artificial Intelligence UCITS ETF (WTAI), enhancers (that is, the companies that are a prominent force in AI but with a smaller portion of products and revenues associated with the theme) receive only 10% weight during each semi-annual period. This means that tech giants that dominate the top 10 in the Nasdaq-100, jointly can receive only up to 10% weight. At the same time, more pure-play opportunities in the space (known as ‘engagers’) receive 50% weight at the rebalance, ensuring a certain degree of theme purity.
The importance of a robust selection framework
At WisdomTree, we have previously singled out five building blocks that comprise the selection framework for thematic strategies first proposed in our thematic white paper. In short, we invite investors to first focus on selecting strategies with a clear focus on the theme of interest, assess if the subject matter expertise is part of the strategy design and, if possible, evaluate the purity of the suggested exposure. All these signposts are more qualitative in nature, unlike the next step, which involves testing the shortlisted strategies for the level of differentiation they offer vs broad benchmarks, other themes, and each other.
Let’s have a look at WTAI vs the best performing fund in the AI peer group year-to-date, that is, Fund A, and see if these two funds are differentiated vs the Nasdaq-100. One easy analysis that investors can do to assess the degree of differentiation is to look at the overlap weight vs a broad benchmark and the percentage of common and unique holdings vs the same benchmark. In Figure 2, the analysis suggests that WTAI has relatively low overlap with the Nasdaq-100 and holds only 29% weight in the holdings common with the broad tech gauge. In contrast, Fund A has a relatively high overlap of around 40% and has invested around 62% weight in the stocks represented in the Nasdaq-100.
We can extend our comparison further and resort to performance attribution, as both strategies are offered in an exchange-traded fund (ETF) wrapper and have to report their holdings on a daily basis. The top 10 holdings contributing to the year-to-date performance within WTAI and Fund A, exposes an interesting contrast between the two strategies. Within the top 10 contributors of Fund A, investors can find eight stocks in dark blue that have also been the top 10 year-to-date contributors in the Nasdaq-100. The average weight of the top 10 contributors in Fund A has been 45.6%, accounting for around 70% of the strategy’s return. Due to its market cap-driven weighting, the majority of holdings in Fund A that have posted year-to-date returns above 50%, and even above 100%, have received weights below 0.20% each. This has limited Fund A’s ability to benefit from the AI stocks not included in the Nasdaq-100.
In turn, in WTAI, only Nvidia, also represented in the top 10 in the Nasdaq-100, has been within the top 10 year-to-date contributors. The average weight of the top 10 contributors has comprised only 23.5%, and the top 10 have jointly contributed only 56% to the strategy’s year-to-date return. Notably, the best-performing stock in WTAI was C3.ai and not Nvidia. Fund A had its own stock, Wistron, that has also beaten Nvidia with 204.7% year-to-date return, but the fund had only 0.08% average weight in it. Furthermore, in contrast to Fund A, 4 out of the 5 best-performing stocks in WTAI had average weights between 2.3% and 2.8%. This highlights that the strategy design behind WTAI has allowed the fund to not only benefit from strong returns posted by a range of AI stocks year-to-date, but also to differentiate its key return contributors from the broad tech benchmark.
Sources
1 Please see page 8 of the WisdomTree European thematic monthly update for an overview of the WisdomTree Thematic Universe and page 4 for the dispersions of returns across the themes.
This material is prepared by WisdomTree and its affiliates and is not intended to be relied upon as a forecast, research or investment advice, and is not a recommendation, offer or solicitation to buy or sell any securities or to adopt any investment strategy. The opinions expressed are as of the date of production and may change as subsequent conditions vary. The information and opinions contained in this material are derived from proprietary and non-proprietary sources. As such, no warranty of accuracy or reliability is given and no responsibility arising in any other way for errors and omissions (including responsibility to any person by reason of negligence) is accepted by WisdomTree, nor any affiliate, nor any of their officers, employees or agents. Reliance upon information in this material is at the sole discretion of the reader. Past performance is not a reliable indicator of future performance.
MVSTMicrovast Holdings, Inc
Hi Folks,
This stock belong the the EV + Battery sector
MVST has a quite interesting chart pattern.
• A big move in the past 1-3 months anywhere from 30%-100% the rally last for a few days to weeks.
• Stock is going to catch up the ema 200
• Orderly consolidation with higher lows & tightening range:
• RDM, VCP
• Stocks surfs the rising EMA 10 or the EMA 20, and sometimes the EMA 50
• Volumes are significative compared to previous phase
Let's keep it shortlisted
TESLA LONG AT THE PARABOLIC INFLECTION POINTmy thesis is that Tesla is now a matured, deep moated, multi-sector innovation enterprise
areas of focus
transporation
manufacturing
commodities
logistics
big data
synthesizations
memetics
artifical intelligence
debt leverage
decentralization
neo-feudal globalization
I'm Long Here.
Investing In Artificial Intelligence (AI) : Beginner’s GuideThe field of artificial intelligence (AI) has emerged as a highly attractive investment option, captivating the attention of investors worldwide. With its capacity to reshape industries and drive innovation, AI has gained prominence as a transformative technology. By simulating human intelligence and performing intricate tasks, AI is revolutionizing sectors ranging from transportation to finance and beyond. Given the rapid growth of the AI market, which is projected to reach revenues of up to $900 billion by 2026, having a comprehensive understanding of how to invest in this dynamic field has become crucial for investors.
In this comprehensive guide tailored for beginners, we will delve into the fundamentals of AI, exploring its underlying concepts, methodologies, and applications across various industries. By gaining insight into the inner workings of AI, investors can grasp the potential impact it can have on different sectors, enabling them to identify promising investment opportunities.
Moreover, we will examine diverse investment strategies that investors can consider when venturing into the AI market. These strategies will encompass a range of approaches, from investing in established AI companies and technology giants, to exploring opportunities in startups and early-stage ventures that are driving innovation in the AI space. Additionally, we will explore investment vehicles such as AI-focused exchange-traded funds (ETFs) and mutual funds, providing investors with a broader exposure to the AI market.
Throughout this guide, we will address the key factors to consider when investing in AI, including the evaluation of AI technologies, understanding regulatory and ethical implications, and staying updated with the latest industry trends. By equipping investors with the necessary knowledge and insights, this guide aims to empower them to make informed investment decisions in the dynamic and evolving landscape of AI.
As AI continues to redefine industries and shape the future, investing in this transformative technology presents an exciting opportunity for investors seeking long-term growth and exposure to cutting-edge innovation. Through this beginner's guide, we invite investors to embark on a journey into the world of AI investment, unlocking the potential for both financial returns and contributions to the advancement of society as a whole.
Artificial Intelligence (AI) Explained
Artificial Intelligence (AI) has emerged as a groundbreaking technology that aims to replicate human intelligence in computers and machines, surpassing human capabilities in terms of speed and accuracy. Leading companies like Microsoft (MSFT) and Google (GOOGL) utilize AI to develop systems capable of problem-solving, answering inquiries, and executing tasks that were traditionally performed by humans.
The advancement of AI systems has expanded their applications across diverse industries and sectors. One notable transformation is occurring in the transportation industry, where electric and autonomous vehicles are revolutionizing travel and poised to contribute trillions of dollars to the global economy. In the banking sector, AI is employed to enhance decision-making processes in high-speed trading, automate back-office functions such as risk management, and even introduce humanoid robots in branches to reduce costs. These examples only scratch the surface of the extensive range of AI applications.
Analysts at International Data Corp. (IDC), a renowned market intelligence provider, project that the AI market will generate global revenues of up to $900 billion by 2026. This estimate reflects a significant compound annual growth rate of 18.6 percent from 2022 to 2026, underscoring the exponential growth potential of AI.
What was once considered a luxury has now become an essential component of modern businesses. The global pandemic has accelerated the adoption of AI, making it pervasive across all aspects of business operations. From healthcare and manufacturing to finance and customer service, AI has demonstrated its value in enhancing efficiency, optimizing processes, and driving innovation.
Investing in AI presents an opportunity to capitalize on its transformative potential. However, it is essential for investors to approach AI investments with a thorough understanding of the technology, its applications, and the companies leading the way. As AI continues to shape industries and redefine the future, investors who navigate this dynamic landscape stand to benefit from its long-term growth and the potential for significant returns.
How To Invest In Artificial Intelligence
As a retail investor, you may already have exposure to artificial intelligence (AI) through various prominent U.S. public companies that utilize AI or invest in this technology. However, if you're specifically interested in investing in AI, there are several approaches you can consider:
Individual Stocks: Conduct thorough research and invest directly in companies that specialize in AI development, application, or integration. Look for companies with a strong focus on AI, a robust research and development program, and a history of innovation in the field.
Exchange-Traded Funds (ETFs): Explore AI-focused ETFs that concentrate on companies involved in AI technologies. These funds offer diversification by investing in a portfolio of AI-related stocks, providing exposure to a broad range of companies in the AI sector.
Index Funds: Invest in broad market index funds that include leading companies at the forefront of AI development. These funds track major market indices like the S&P 500, which often include prominent players in the AI industry.
Additionally, Contract for Difference (CFD) trading is another option for investing in AI. CFDs allow you to speculate on the price movements of AI-related assets without actually owning the underlying assets. By taking long or short positions, you can potentially profit from both upward and downward price movements in the AI sector. However, it's important to note that CFD trading carries a higher level of risk and requires a good understanding of market dynamics.
Top AI Stocks To Consider:
Microsoft (MSFT)
As of May 2023, Microsoft, the renowned developer of the Windows operating system, holds the position of the largest Artificial Intelligence (AI) company. In recent times, Microsoft has made significant strides in the field of AI, unveiling a range of new features and initiatives across its product line.
One notable development is the integration of AI-powered enhancements into Edge, Microsoft's web browser. These enhancements leverage AI technology to provide users with improved browsing experiences, including enhanced performance, personalized recommendations, and advanced security features.
Furthermore, Microsoft has incorporated AI capabilities into Bing, its search engine. The integration of AI allows Bing to deliver more accurate and relevant search results, enhancing the overall search experience for users.
Highlighting its commitment to AI, Microsoft announced a substantial investment in OpenAI, the creator of ChatGPT, a widely used language model. This multiyear and multibillion-dollar partnership have resulted in the deployment of OpenAI models across Microsoft's product range, including the Azure OpenAI Service. Additionally, Microsoft's Azure cloud platform serves as the exclusive provider for OpenAI's cloud-based services.
By investing in OpenAI and integrating AI capabilities into its products and services, Microsoft aims to harness the power of AI to deliver innovative solutions and enhance user experiences. This strategic focus on AI demonstrates Microsoft's recognition of the transformative potential of this technology and its dedication to remaining at the forefront of the AI industry.
Tesla (TSLA)
In the realm of electric vehicles (EVs), Tesla stands apart from technology giants like Microsoft and Alphabet by leveraging AI and robotics to drive innovation. The company has positioned itself as a leader in self-driving cars, an area heavily reliant on AI for tasks such as visual processing and strategic planning.
Tesla is actively pursuing the development of self-driving technology and has been working on AI inference chips that are specifically designed to run its full self-driving software (FSD). These chips enable efficient and powerful processing capabilities, enabling Tesla vehicles to make real-time decisions and navigate autonomously.
Beyond self-driving vehicles, Tesla has expanded its AI endeavors into the realm of humanoid robots. In October 2022, CEO Elon Musk unveiled "Optimus," a highly anticipated robot. Musk envisions a future where Tesla's robot business surpasses the value of its cars, indicating a broader ambition to extend beyond the automotive industry.
In addition to self-driving technology and robotics, Tesla is actively involved in various AI fields. This includes the development of Dojo chips and systems, which aim to enhance AI training and accelerate computational processes. Tesla also focuses on neural networks, autonomy algorithms, code foundations, and evaluation infrastructure to continuously improve and refine its AI capabilities.
By applying AI and robotics to the EV industry, Tesla is at the forefront of technological advancements and aims to shape the future of transportation. Its commitment to developing cutting-edge AI solutions demonstrates the company's dedication to pushing the boundaries of innovation and redefining the possibilities within the automotive industry.
IBM (IBM)
In May 2023, IBM, a computing giant with a long-standing history in the technology industry, made a significant announcement regarding its platform called Watsonx. This platform is designed to empower developers by providing them with a comprehensive set of tools for creating AI models.
Watsonx equips developers with machine learning tools, foundational models, hardware resources, and data storage capabilities, enabling them to build sophisticated AI applications. By offering a range of resources within a unified platform, IBM aims to streamline the AI development process and make it more accessible to developers.
In collaboration with Hugging Face, a prominent provider of open-source AI libraries, IBM has integrated the benefits of Hugging Face's libraries and extensive collection of open models and datasets into the Watsonx.ai studio. This collaboration allows developers to leverage Hugging Face's resources and tap into a vast array of pre-trained models and datasets, accelerating the development of AI solutions.
Beyond its AI offerings, IBM has been actively involved in AI integration research. The company's Global AI Adoption Index explores the impact of AI adoption on businesses and society as a whole. This research initiative aims to provide insights into the current state of AI adoption, identify trends, and understand the potential implications of AI on various industries and sectors.
IBM's commitment to advancing AI technology, as demonstrated by its Watsonx platform and research initiatives, highlights the company's ongoing efforts to drive innovation and facilitate the integration of AI into diverse domains. By empowering developers and exploring the broader implications of AI adoption, IBM continues to play a significant role in shaping the future of artificial intelligence.
Alphabet (GOOGL)
Alphabet, the parent company of Google, has been actively investing in the AI sector, demonstrating its commitment to advancing artificial intelligence technologies. In April, Alphabet's venture capital subsidiary, CapitalG, played a leading role in a $100 million funding round for AlphaSense, an AI startup. This investment not only highlights Alphabet's financial support for AI innovation but also strengthens its presence in the AI industry.
In addition to its investment activities, Google, as a part of Alphabet, has made substantial investments in other AI-related companies. For instance, Google has invested approximately $400 million in Anthropic, a competitor to ChatGPT, further expanding its involvement in the AI landscape. Furthermore, Google has acquired Alter, a startup specializing in AI avatars, which showcases its strategic focus on enhancing AI capabilities and exploring new applications for the technology.
Within its own product ecosystem, Google has introduced various generative AI tools that leverage the power of artificial intelligence. One notable example is Bard, Google's own counterpart to ChatGPT, which provides real-time access to information from the web. This demonstrates Google's efforts to develop AI models capable of generating dynamic and contextually relevant content.
Moreover, Google is incorporating AI functionality into its Workspace suite, starting with popular tools like Gmail and Google Docs. By integrating AI capabilities into these productivity tools, Google aims to enhance user experiences, improve efficiency, and enable new possibilities for collaboration and content generation.
Alphabet's investments in AI startups, acquisitions, and the development of generative AI tools highlight the company's dedication to harnessing the potential of artificial intelligence. Through these initiatives, Alphabet continues to shape the AI landscape and drive innovation in the field.
Amazon (AMZN)
Amazon, a prominent player in the AI field, has established itself as a leader by offering a comprehensive suite of AI and machine learning (ML) services through its cloud computing platform, Amazon Web Services (AWS). AWS provides a wide range of tools and services that empower developers and businesses to integrate AI and ML functionalities into their applications and workflows efficiently.
Notably, Amazon not only provides AI services to other businesses but also harnesses AI capabilities within its own operations. For instance, the company employs sophisticated AI algorithms in its online store to deliver personalized product recommendations to customers, creating a more tailored and engaging shopping experience.
One of Amazon's most recognizable AI applications is Alexa, the virtual assistant powering Echo devices. Powered by natural language processing and ML algorithms, Alexa can comprehend and respond to user commands, enabling users to interact with their devices using voice commands. This integration of AI technology has revolutionized the way people interact with their smart devices and has become a prominent feature in many households.
Amazon's commitment to AI is further evident through its ongoing investments in AI research and development. The company continually seeks to advance AI technologies, exploring new applications and improving existing capabilities. By embracing AI in various aspects of its business, Amazon aims to enhance customer experiences, drive innovation, and remain at the forefront of AI integration in the industry.
Oracle (ORCL)
Oracle (ORCL), a renowned provider of cloud computing solutions, has emerged as a leading player in the AI landscape by offering the Oracle Cloud Infrastructure. This robust cloud platform serves as the foundation for various workloads, including AI applications, empowering businesses to leverage the benefits of AI technology.
Recognizing the growing significance of AI, Oracle has taken steps to enhance its AI capabilities for enterprise customers. Notably, the company has expanded its collaboration with Nvidia, a prominent chipmaker specializing in AI hardware. This strategic partnership allows Oracle to harness the power of Nvidia's advanced AI-focused GPUs (Graphics Processing Units) and other hardware technologies.
By integrating Nvidia's hardware into its infrastructure, Oracle aims to deliver enhanced AI performance to its enterprise customers. This collaboration equips businesses with the ability to process vast datasets and execute complex AI algorithms more efficiently, leading to improved insights and outcomes. By leveraging Nvidia's powerful AI hardware, Oracle demonstrates its commitment to providing cutting-edge AI solutions that address the evolving needs of businesses in the era of digital transformation.
Through its collaboration with Nvidia and its focus on advancing AI capabilities, Oracle solidifies its position as a leading provider of AI-enabled cloud infrastructure and reinforces its commitment to empowering businesses with the tools and technologies needed to harness the potential of AI in their operations.
How To Select The AI Stocks To Invest In :
When selecting AI stocks to invest in, it's important to conduct thorough research and consider various factors. Here are some key considerations to help guide your decision-making process:
1) Company's fundamentals: Review the financial health and performance of the company. Analyze its financial statements, including the balance sheet, income statement, and cash flow statement. Look at key indicators such as the price-to-earnings (P/E) ratio, return on equity (ROE), and debt-to-equity (D/E) ratio to assess its profitability and financial stability.
2) Technical analysis: If you're a short-term trader, utilize technical analysis to study price patterns and trends. Use technical indicators and candlestick charts to identify entry and exit points based on historical price movements.
3) Analyst ratings: Consider the latest analyst ratings and commentary on specific stocks. Analyst opinions can provide valuable insights, but keep in mind that they are subjective and should be considered alongside other factors.
4) Latest company news: Stay updated on a company's news and developments. Look for announcements related to AI investments, acquisitions, R&D initiatives, and new product offerings. This information can indicate a company's growth potential and competitive positioning.
5) Competitive landscape: Assess the company's position within the AI industry and its competitive advantage. Consider its technology, market share, and ability to innovate. Evaluate how it compares to other players in the market.
6) Management team: Evaluate the leadership and management team of the company. Look for experienced executives who have a track record of success and a clear vision for the company's future.
7) Industry trends: Stay informed about the latest trends and advancements in the AI industry. Understand how AI is being adopted across different sectors and the potential impact it may have on the company you're considering.
8) Regulatory environment: Consider the regulatory landscape surrounding AI. Assess how regulations and policies may affect the company's operations and growth prospects.
9) Diversification: Manage risk by diversifying your investments across different AI stocks and sectors. This helps mitigate the impact of individual stock performance and provides exposure to a range of opportunities.
Conclusion:
Investing in AI presents unique opportunities for investors as this cutting-edge technology continues to transform industries and drive innovation. The potential for AI to revolutionize various sectors, enhance efficiency, and create new business models is immense. Whether through individual stock investments, AI-focused ETFs, index funds, or even CFD trading, investors can participate in the AI market and potentially benefit from its growth.
However, investing in AI requires careful consideration and research. It is important to understand the fundamentals of AI, including its applications and potential impact on industries. Analyzing company financials, such as balance sheets and income statements, can provide insights into the financial health and long-term potential of AI-focused companies.
Staying updated on industry trends, news, and developments is crucial. Monitoring AI-related investments, partnerships, research, and product advancements can help identify companies that are at the forefront of AI innovation.
Diversification is also key in AI investing. Spreading investments across different AI stocks, sectors, and geographies can help mitigate risk and capture opportunities in various segments of the AI market.
Lastly, it is important to remain informed and adaptable as AI technology continues to evolve. Regularly assessing and adjusting investment strategies based on market conditions and emerging trends is essential to capitalize on the transformative potential of AI.
By understanding the fundamentals, conducting thorough research, and staying informed, investors can position themselves to potentially benefit from the growth and impact of AI in the years to come.