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TOP ASSETS of the AI NARRATIVE | PART 2In the comments of “Top AI assets part 1” you mentioned some more promising projects, the main product of which is AI. We decided to tell you more about them and check their metrics iExec RLC iExec is considered as a project with the AI narrative, but it is partly wrong. The main specialization of iExec is providing computing power and organizing the market around this sector. iExec forms large volumes of data and if we check their products, we will see that these volumes of data are being used actively but we have to understand that this is a side line of their business. In general, iExec as a project is more like Flux than any project in the AI narrative. Metrics of the $RLC token: Price: $1.75 ATH price: $11.6 Market.cap: $141m ATH market.cap: $800m FDMC: $152m Over the past 2 months, the $RLC token has grown more than 2 times. We do like iExec as a project with its own goals and values and that’s why we listed it on our platform for trading Vectorspace AI The team focuses on creating AI and ML solutions in space biosciences, general life science and capital markets. So far the team has launched two products: A financial product for protecting investment portfolios and finding stock and cryptocurrency market correlations for long or short trades. A product for biosciences in a Protein Relationship Networks area. Metrics of $VXV token: Price: $0.57 ATH price: $18.1 Market.cap: $27m ATH market.cap: $347m FDMC: $28m Over the past 2 months, the $VXV token has grown more than 2 times. Matrix AI Network Project that focuses on an AI integration directly into the crypto. Matrix has 4 main products: Mania - a platform for trading AI algorithms in an NFT type Airtist - a generative art creation platform for NFT Manta - an automatic machine learning platform Matrix - an AI service platform Metrics of $MAN token: Price: $0.02254 ATH price: $1.7 Market.cap: $4.8m ATH market.cap: $6m FDMC: $22.5m Over the past 2 months, the $MAN token has grown more than 4 times. Numeraire Platform for Data Science and Machine Learning specialists. Project supports DS and ML specialists, conducts predictive ML contests and builds its own progressive community. Metrics of $NMR token: Price: $16.7 ATH price: $84 Market.cap: $98m ATH market.cap: $487m FDMC: $183m Over the past 2 months $NMR has grown by 64% Streamr A project for data transferring within web3. Streamr is primarily an infrastructure project, preparing the basis for the data economy. Metrics of $DATA token: Price: $0.03308 ATH price: $0.3102 Market.cap: $25m ATH market.cap: $223m FDMC: $28m Over the past 2 months $DATA has grown by 50% Conclusion As we’ve told you earlier, the benefits that AI offers, along with its increasing adoption and application, guarantee the expansion of AI projects and a profitable market. Let us know in the comments about more AI projects we should look at. Share your investing or trading experience with such projects.Thanks for reading!
Education
by Samura0x
6
Neo Wave Learner doubtWhat is the difference between projection overlapping and "obviously different in price and/or time" in NEO Wave? In Pre-Constructive Rules of Logic, Rule#1, Condition_b, Paraghraph_4, it states "If part of m2's price range is shared by m0 and m3 is longer and more vertical than ml during a time span equal to (or less than) ml and m(-1) is shorter than ml and m0 and m2 are obviously different in price or time or both and m4 (or m4 through m6) returns to the beginning of ml in a time period 50% of that consumed by ml through m3, a 5th Extension Terminal pattern may have completed with m3; add ":c3" to ml's Structure list." Here, m0 and m2 should share price range, which means projection overlapping, at the same time, it is mentioned, m0 and m2 should be obviously different in price&/time. Experts please help.. Also, Mr. Neely mentioned, "m1 is longer than m3" in few other places, does the length means, by means of distance between 2 price points or by means of time distance or should i consider a multiple..
TVC:DJIEducation
by SmArT_NEO_WAVE
Q&As: non-market dataThere's some curious personalities that trade (at least claim to trade) based on news, fundamental metrics, alt data n stuff. I don't mean invest, I mean trade. Well that looks like a skill to be proud off, superstimuli always feels cool aye? Good thing tho there no real reason in doing it all. The most precise term to explain non-market data is, well, everything that ain't have a direct involvement with what happens inside the order matching servers of a given exchange. So open interest is in fact a great example of non-market data. The one & only real purpose for using all this data is to know (not to guess/predict/forecast, not to even anticipate), but to understand when the ACTION is going to happen. If you think deeper, ultimately it's all about asset selection to satisfy whatever purpose you got. if you ever got caught yourself feeling fooled when media release a bad info but prices go up, or media release a good info but prices go down, it's ok. It doesn't work that way, direction of prices can't be affected this way. Direction of prices is the result of how buyers meet sellers which is based on +inf number of factors, where a non-market data is simply just one of these +inf factors. It exclusively provokes action, meat, hype, momentum, volatility, whatever you call it. What's happening is that things start to happen very fast. Without a trigger event, the trading activity would've been the same, it just would've take longer to unwind. News don't change the structure, they make it all happen faster, that's it. Examples of non-market data that can be used to expect action: 1) Trading schedule, eg the US, EU opening times; 2) Economic releases; 3) Commitment of traders reports; 4) Significant news; 5) Changes in yield curves; 6) "Fundamental" stock data; 7) Open interest; 8) etc etc etc One really important thing to add is that, just like trading activity is understood in context (other resolutions), sizing also includes context (equity control, market impact), the same way every non-market data event lives in the context (previous releases, other releases, overall economy). You're interesting not in a new per se, but rather in what does it mean in the world. For example, inflation reports don't mean much when the rates are low, but when the rates are high, they trigger significant activity. That's the area where statistical learning, automated learning, "machine" learning, 'Really' starts to make sense business-wise. The ultimate goal is to create a system that will process every kind of data you have (NLP and TDA should help) and output the tickers with raising/already risen levels of interest.
CBOT:ZN1!Education
by gorx1
$JPY - Where to next?$YEN - Where to next? Well, we are coming into the end of yr but we still have opportunities we could get. Now be careful we will get end of year moves, portfolio adjustment etc. However, the way I trade I look at key support & resistance levels we have a very important zone of support: 136 half - 135 now break below that - BEARS come out shorter term. BUT If price stays above, I think we have a good chance those bulls are still in control and we are going back towards 140 areas easily. Now that's my plan minus risk and how I will take my profits - But it's a plan. What's going to be your trade plan for $YEN? Data wise: PMIs Have a great weekend, Trade Journal
by Trade_Journal
GBP/AUD upside ready for next week...Recently we have finally seen some rest bite for the pound after looming USD data. Other instruments are markets have also somewhat corrected and as we can see from GBP/AUD we are picking up some momentum to the upside with targets of 1.8400 for next week. Always follow your trading plan regarding entry, risk management, and trade management. The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations.
Long
by FTUKcom
4
Thematics Outlook The future is green and highly connected“We tell ourselves stories in order to live”, Joan Didion (writer and journalist). Thematic investing brings this notion to the fore. Avenues of investing aligned with megatrends are inherently predicated on visions of the future. But what makes thematic investing a lot more palatable than prophesising is that certain megatrends are already in motion. Thematic investors, therefore, need only observe the direction of the current and swim with the tide. The stories they tell themselves reveal what places they will witness along the way. But, of course, timing does matter and the bear market in 2022 has created an attractive entry point for long-term investors. Moreover, the investment industry now offers discerning investors ways to access differentiated themes aligned with unique megatrends. For investors, this means more stories to choose from and two themes appear especially interesting at the present juncture. The future is green – the inevitable energy transition Following 18 months of intense wrangling, the US has passed a $700 billion economic package deemed by many as a monumental step in tackling climate change. The bill includes $369 billion for climate action including tax credits for households to buy electric vehicles and support for renewable energy, carbon sequestration research, hydrogen power, and small-scale nuclear reactors1. Creating an energy sector that is both sustainable and sufficient will require major investment across all forms of clean energy including renewables, hydrogen, biofuels, hydro, and even nuclear. Most recently, the European parliament has moved to classify future investment in natural gas and, more notably, nuclear power as environmentally sustainable (under certain conditions) in a pivotal shift recognising the need for an ‘all of the above’ approach to phasing out fossil fuels. Low hanging fruit The energy sector accounts for around three quarters of global greenhouse gas emissions with road transportation accounting for the largest share at 11.9%2. It therefore makes sense to start where most progress can be made and can have the greatest impact. According to Bloomberg New Energy Finance’s Long Term Electric Vehicle (EV) Outlook 2022, the EV market represents an $82 trillion market opportunity between now and 2050 in a net zero scenario. This is on account of not just the vehicles but the ecosystem of industries surrounding them, which includes battery technology, commodities, charging infrastructure, and recycling to name a few. No half measures The electrification of road transportation could create a 27% increase in electricity demand by 20503. It is therefore crucial that the electricity itself is also clean. Among renewables, offshore wind is all the rage right now - and for good reason. According to Wood Mackenzie, almost $1 trillion is expected to flow into the offshore wind market over the next decade, given its scalability. But more renewable power will also require more energy storage. Battery technology again comes into play. Lithium-ion batteries, effective for shorter duration storage, will be complemented by emerging longer duration storage technologies. This will ensure the energy supply is not only reliable for a few hours, but days and weeks. The future is highly connected – the ongoing digital transition According to Statista, the number of internet of things (IoT) connected devices worldwide rose from 8.6 billion in 2019 to 11.3 billion in 2021 and will likely reach 29.4 billion by 20304. The world is becoming increasingly connected, and there are many facets to it. Every cloud has a silver lining The world has shifted quickly from renting cassettes and DVDs to cloud-based streaming services which use artificial intelligence to offer a personalised experience. Video streaming is not just occupying our television screens. It dominates our mobile phone usage as well. According to Ericsson, global mobile data traffic has risen from 10.9 exabytes (EB) in 2017 to 90.4 EB in 2022 and expected to reach 282.8 EB by 2027 with video being the primary driver of this data binging Gartner forecasts that public cloud end user spending will grow by 20.4% in 2022 to 494.7 billion, up from 410.0 billion in 2021. This number will reach nearly $600 billion in 20235. Now, for end users sitting in their homes streaming content, movies, and TV shows, everything may be in the ‘cloud’. But for YouTube, Netflix, and Spotify this data needs to be physically stored somewhere. The explosion in data usage will require more data centres and ever-increasing internet speeds. For investors looking at cloud computing as a megatrend, the opportunity is not just in the software, but also the real estate that provides the necessary infrastructure. This megatrend is not optional If a business hastens to shift to the cloud, collect all the necessary user data to improve its service, but then bungles it all up by falling victim to a cyber-attack, the result could be catastrophic. More connectedness means more points of vulnerability for the nefarious types to exploit. Cybersecurity Ventures expect global annual cybercrime costs to reach $10.5 trillion by 2025, up from $3 trillion in 2015. As a consumer of any product or service, cybersecurity is something you never want to hear about. If everything is in order, nothing happens. But that is only possible if businesses ensure robust guardrails are in place. Cybersecurity, therefore, is a megatrend that is not optional, but mandatory. It is what makes a connected world sustainably possible. But what about the risks? Yes, further hawkishness from central banks could create more turbulence. Nevertheless, monetary policy shouldn’t alter the direction of travel. So, keep an eye on those inflation prints and the response from central banks. Deglobalisation can also pose a challenge, especially for the energy transition which depends on certain commodities. Supply chains span across the globe and a coordinated effort to tackle climate change would be more fruitful than a fragmented one. Conclusion The protagonists will change, the antagonists will change, and there will be unforeseen twists and turns. And for each investor, the plot may thicken somewhat differently. But the stories are underway. And now is an excellent time for investors to not only observe that the world is becoming greener and more connected but help drive the change they want to see. Sources 1 Source: Financial Times 8 August 2022. 2 Our World in Data based on 2020 figures. 3 Bloomberg New Energy Finance Long Term Electric Vehicle Outlook 2022. 4 Source: Statista in cooperation with Transforma Insights, May 2022. 5 Source: Gartner April 2022.
EURONEXT:CLE5G
by aneekaguptaWTE
Streamr broke wedge, now perhaps falling to strong suport.DATA/USDT broke its months falling wedge and is now falling to its strong support at around 0.022. Depending on the global crypto market (mostly BTC and ETH) it may reach this support. However, the RSI states DATA is heavily oversold at the moment. So, we might see a potential rise to reach the wedge again if other large caps stay stable. After DATA has stabilized, the next challenge is the 0.07 strong support. More on the practical use cases of this coin can be found on the streamr.network website. I believe that Streamr is still a gem waiting to be discovered by most people. The technology is sufficient in complexity and serves numerous use cases. With the new head of marketing Streamr may become one of the larger top-100 crypto's in the next bull-run. As biased as I am, because I love new innovative tech, this is my idea of the direction of the DATA coin.
by Pepelaar