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#NMR/USDT 4h (Binance Futures) Descending wedge breakoutNumeraire regained both 50MA & 200MA and is pulling back to them, looks good for another bounce. ⚡️⚡️ #NMR/USDT ⚡️⚡️ Exchanges: Binance Futures Signal Type: Regular (Long) Leverage: Isolated (4.0X) Amount: 6.9% Current Price: 13.13 Entry Targets: 1) 13.10 Take-Profit Targets: 1) 15.94 Stop Targets: 1) 11.68 Published By: @Zblaba $CRYPTOCAP:NMR BINANCE:NMRUSDT.P #Numeraire #AI numer.ai Risk/Reward= 1:2.0 Expected Profit= +86.7% Possible Loss= -43.4%
Long
by TradingOn
2
Automatic Gamma Levels Spot alternative on TradingView? Sure!By combining Options expiration data, DarkPool & process it by Machine Learning algorithm, we can get another perspective of market picture. One of the services is already trying to provide this data, however so far it requires manual work in order to apply those levels on the chart. I provide a way for automatic level recognition valid for intraday session, based on data calculated by ML/AI algorithm, exported to Quandl database and imported to TradingView indicator. When you add to that Call & Put Wall levels I publish on website, you will have all information in hand that you can use for intraday trading. I provide current for the moment of writing analysis snapshot of 4 majors with applied Gamma Levels as well as key levels from Options&Darkpool data market. If you want to learn more and start having edge on the market (information is the key!), you will for sure find more details at my profile ;) I wish you all Big Profits on the market!
NYMEX:CL1!
by skyline-trader
1
Fall potential on Gold #options #ai #mlOption data and AI algorithm from analysis data from this market show the possibility of retreat from growth and switch to Bears taking control over. We have a powerful resistance (supply zone) around 2060, and Virgin VPOCs can be found only below the current price level (for a moment of writing analysis). Current option support is 1881 and this is a key level when it comes to potential closure of the downward movement. To Gamma Flip (whose exceeding will increase the volatility on the market) still far (1786), but it is worth observing what will happen on subsequent sessions. Falls will be negated after exceeding 1975. I take into account all Expiration from the gold option, which are then treated by the Machine Learning script. AI in this case shows the main key levels on the market and conclusions from data analysis. They are exported to the Quandl base and then imported to TradingView. Data is also published every day a week, on my website. Remember - knowledge and data are power, in this case, increasing significantly a chance for profitable trading :)
COMEX:GC1!
by skyline-trader
How I almost doubled my investments by betting in AIBig wins for 2020 and 2021! Exactly today two years ago I posted this idea about investing in FANG (Facebook, Amazon, Nvidia and Google). If you followed my advice and invested in FANG you should have almost doubled your investment by now. Remember that the idea behind picking these stock is very simple: These companies have a lot of data, and data is the oil for AI . My investing advice remains the same for the 2022. Avoid investing in meme stocks and unknown crypto coins. This is a very hard way to make any money. Invest in companies related to what is coming next. Invest in AI, ML, healthcare, robotics, 3d printing, drones, biotech. Worth reading: USDOF Official Calls Artificial Intelligence the New Oil . Follow me on TradingView to know more about my investing choices. --- “Robots are not going to replace humans, they are going to make their jobs much more humane. Difficult, demeaning, demanding, dangerous, dull – these are the jobs robots will be taking." - Sabine Hauert, Co-founder of Robohub.org
NASDAQ:META
by adelriosantiago
Bitcoin over $20k? Machine Learning Says Yes!Bitcoin has come back into the news and the minds of many people. Over the past few months the bitcoin ecosystem has hit a few major milestones: Largest Combined Hash Rate. This is an indication of health of the ecosystem. Greater than $5k gain in spot price verses the USD Multiple US based exchanges operating With both the Basics of Economics and Machine Learning as two lenses, how does the price track over the next few months? The Basics Let's first look at the economic indicators moving forward the next few Quarters: 1. The yield curve has inverted. This has signaled the past 7 recessions 7/7 times (100%) 2. The Manufacturing Index has contracted in June. This again has signaled a recession. 3. Interest rates have evened out and signal the fed anticipating an equities slow down. The economy is saying recession In a recession, the idea is to move out of equities and into scarce assets. Gold, US T-bills, and scarce cash-like resources are usually good holding assets for rough economic weather. However, both Gold and US T-bills have a few disadvantages. Gold has holding and security costs. US T-bills have the Fed printing an endless amount of money to "correct" the economy. Thus, another scare "cash-like" resource is needed. Overall BTC beats gold and cash-equivalents in a few categories: 1. Holding Costs: BTC (minimal to none), Gold (yes, significant), US T-Bills (minimal) 2. Liquidity: BTC (Moderate to High), Gold (low), US T-Bills (High) 3. Scarcity: BTC (Exact, limited), Gold (unknown), US T-Bills (variable, decreasing) You may wonder why gold has an unknown scarcity. The amount of gold is probably much higher than publicly know and is hoarded by various individuals of large wealth. The US has nearly 8,000tn of gold. Yet, a single mine in Alaska has enough proven gold reserves to produce nearly 56,000kg of gold through 2020. Extrapolate that over the various, more productive mines across the world, and we can estimate there is enough gold to double the US reserves in less than a decade. BTC will be a safe asset for rough economic weather. Therefore, BTC should become more valuable than Cash Equivalents. BTC probably won't make a huge gain on gold, but may rally against gold if new traders flood the market come late August and September. Machine Learning With the basics supporting my initial thinking and the help of machine learning, the above curve was approximately produced. I modeled a 3 step rally using an LSTM neural network with 365 stages -- trained with 1100 training epochs. Fed into the model are three pieces of data; (1) time series of the largest 10% of coinbase purchases (2) the 10 most popular news articles for the relevant 15 day window. From these, sentiment and negative/positive words are extracted and fed as features to the model The result after training and prediction is a curve that estimates a price target of $20763 on Dec 1 . A theoretical modeled maximum is just shy of $33k (z>3.9) and modeled minimum just above $16k (z<3.9). Takeaways BTC is headed for a rally and macroeconomic factors, not whales, will drive it. Target Price: $22k
BITSTAMP:BTCUSD
by nickmitchko