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Robots

Pros and Cons of Forex Trading with Robots Hey traders, Forex trading robots (EA) are commonly perceived as a sort of magic button. Once it is clicked, the system starts trading automagically, generating consistent profits. What can be better? However, many pitfalls are hidden behind its simplicity. In this educational article, we will discuss the advantages and disadvantages / pros and cons of trading with Expert Advisers (EA) / robots. Advantages of Forex Trading Robots Let's start with the positives ➕: 1. The first major advantage of EA is the fact that it works 24/7 , without delays and coffee breaks. Once it is launched, it will keep working till you stop it. 2. The second advantage of EA is that it is non-emotional and objective . It strictly follows the algorithm and rules determined by a program. It is not influenced by psychological biases, making each trade extremely precise. 3. The third strength of trading robots is the processing speed and its limitless scalability . EA can monitor dozens of trading instruments on multiple time frames simultaneously, not missing any bit of information. Hence, it requires less time for decision-making and trade execution. 4. The fourth advantage of EA is the simplicity of its backtesting . Once the algorithm is written and the order of execution rules are described, it can be quickly and easily tested on a historical data. Disadvantages of Forex Trading Robots So far, sounds like a panacea, right?! But now, let's discuss the negatives ➖: 1. Similar to any software, app or program, the EA is vulnerable to bugs, and may occasionally lag . Therefore, it requires a constant oversight and maintenance . In order to fix the bugs and maintain that, a high level of experience is required . One should have the advanced skills both in coding and in trading. 2. Moreover, admitting the fact that the market is constantly changing and evolving, one should regularly update the EA and adapt it. In comparison to humans, trading robots are not learning, they do not evolve, update themselves. 3. Leaving the robot without supervision, updates and patches, it may blow the entire account in a glimpse of an eye without any embarrassment. 4. One more important thing to add about EA, is the fact that it is technical analysis based . For now, there are no solutions on the market that would allow the integration of fundamentals in the algorithm. Unfortunately, most of the traders overestimate the strengths of trading robots, completely neglecting its obvious weaknesses. If you decide to apply EA in Forex trading, always consider its pros and cons that we discuss in the post.
OANDA:XAUUSDEducation
by VasilyTrader
1
Tesla looking bullishTesla seems to have completed its corrective wave (2) and to have started its wave (3) with a short term target in the $235 area. A break above $235 would validate the exit of the large triangle formation and opens further up moves towards the all time high. On the opposite side, a break below $160 would invalidate this view. ------ It's recent partnership with Baidu regarding autonomous vehicles and AI data centers, and its increasing focus on the development of its functional humanoid robots (Optimus) seem to be encouraging news among others. I believe Tesla could be one of the most concrete way to play the AI revolution.
NASDAQ:TSLALong
by waverity
Momentum Indicator for USDEUR turns positiveMomentum Indicator for USDEUR turns positive, indicating new upward trend USDEUR saw its Momentum Indicator move above the 0 level on February 04, 2024. This is an indication that the stock could be shifting in to a new upward move. Traders may want to consider buying the stock or buying call options. Tickeron's A.I.dvisor looked at 125 similar instances where the indicator turned positive. In 46 of the 125 cases, the stock moved higher in the following days. The odds of a move higher are at 37%. Technical Analysis (Indicators) Bullish Trend Analysis The Moving Average Convergence Divergence (MACD) for USDEUR just turned positive on February 04, 2024. Looking at past instances where USDEUR's MACD turned positive, the stock continued to rise in 35 of 96 cases over the following month. The odds of a continued upward trend are 36%. Following a +0.12% 3-day Advance, the price is estimated to grow further. Considering data from situations where USDEUR advanced for three days, in 69 of 278 cases, the price rose further within the following month. The odds of a continued upward trend are 25%. The Aroon Indicator entered an Uptrend today. In 81 of 226 cases where USDEUR Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are 36%.
Long
by Serhii_Bond
SOL.X in upward trendSOL.X in upward trend: 10-day moving average broke above 50-day moving average on February 03, 2024 The 10-day moving average for SOL.X crossed bullishly above the 50-day moving average on February 03, 2024. This indicates that the trend has shifted higher and could be considered a buy signal. In 11 of 14 past instances when the 10-day crossed above the 50-day, the stock continued to move higher over the following month. The odds of a continued upward trend are 79%. Technical Analysis (Indicators) Bullish Trend Analysis The Momentum Indicator moved above the 0 level on January 28, 2024. You may want to consider a long position or call options on SOL.X as a result. In 71 of 108 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are 66%. The Moving Average Convergence Divergence (MACD) for SOL.X just turned positive on January 29, 2024. Looking at past instances where SOL.X's MACD turned positive, the stock continued to rise in 35 of 53 cases over the following month. The odds of a continued upward trend are 66%. Following a +3.52% 3-day Advance, the price is estimated to grow further. Considering data from situations where SOL.X advanced for three days, in 243 of 335 cases, the price rose further within the following month. The odds of a continued upward trend are 73%. SOL.X may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options. BINANCE:SOLUSDT New Robot factory from Tickeron Trading Results for last 12 months SOL.X AI Robots (Signals Only) AI Robot's Name P/L Swing Trader: Crypto Pattern Trading at Trend Reversal Points (TA) 14.01% Day Trader: Crypto Pattern Trading in Low-Volatility Markets (TA) 5.39% Day Trader: Crypto Pattern Trading in High-Volatility Markets (TA) 4.15% Market Cap The average market capitalization across the group is 41.64B. The market cap for tickers in the group ranges from 41.64B to 41.64B. SOL.X holds the highest valuation in this group at 41.64B. The lowest valued company is SOL.X at 41.64B. High and low price notable news The average weekly price growth across all stocks in the group was -0%. For the same group, the average monthly price growth was -5%, and the average quarterly price growth was 294%. SOL.X experienced the highest price growth at -0%, while SOL.X experienced the biggest fall at -0%. Volume The average weekly volume growth across all stocks in the group was -46%. For the same stocks of the group, the average monthly volume growth was -57% and the average quarterly volume growth was 163%
Long
by Serhii_Bond
OXT.X Price Prediction, Orchid cryptocurrency AI RecommendationsNew Robot factory from Tickeron Trading Results for last 12 months OXT.X AI Robots (Signals Only) AI Robot's Name P/L Day Trader: Crypto Pattern Trading in High-Volatility Markets (TA) 14.37% Swing Trader: Advanced Crypto Pattern Trading (TA) 10.22% Swing Trader: Crypto Pattern Trading at Trend Reversal Points (TA) 4.36% Market Cap The average market capitalization across the group is 95.73M. The market cap for tickers in the group ranges from 95.73M to 95.73M. OXT.X holds the highest valuation in this group at 95.73M. The lowest valued company is OXT.X at 95.73M. High and low price notable news The average weekly price growth across all stocks in the group was 3%. For the same group, the average monthly price growth was -4%, and the average quarterly price growth was 72%. OXT.X experienced the highest price growth at 3%, while OXT.X experienced the biggest fall at 3%. Volume The average weekly volume growth across all stocks in the group was -64%. For the same stocks of the group, the average monthly volume growth was -78% and the average quarterly volume growth was -92%
by Serhii_Bond
BIOR Price Prediction, Biora Therapeutics AI RecommendationsNew Robot factory from Tickeron Trading Results for last 12 months BIOR AI Robots (Signals Only) AI Robot's Name P/L Swing Trader: High Volatility Stocks for Active Trading (TA&FA) 78.65% Swing trader: Downtrend Protection v.2 (TA) 51.26% Day Trader, Popular Stocks: Price Action Trading Strategy (TA&FA) 46.98% AI Robots (Virtual Accounts) AI Robot's Name P/L Swing Trader ($2.5K per position): High Volatility Stocks for Active Trading (TA&FA) 106.85% Swing Trader ($4K per position): High Volatility Stocks for Active Trading (TA&FA) 93.69% Swing Trader ($1.5K per position): Hedge Fund Style Trading (TA&FA) 88.47% Tickeron is a leading US-based financial technology company specializing in the use of artificial intelligence to deliver user-friendly predictive analytics and search engines, including tools by which to find trading and investing opportunities. With its suite of AI-powered tools and platforms like the automated trading with AI Robots, discovering trading patterns with AI Patterns Search Engine, forecasting market movements powered with AI Trend Prediction Engine, identifying live opportunities with AI Real Time Patterns as well as resulting actionable insights from trades with AI Buy / Sell Signals. The products exhibit Tickeron's success in the use of artificial intelligence to avail solutions in the financial market that make it easy for day traders and long term investors alike to ease their decision making burden with astonishingly complex analysis and predictions.
NASDAQ:BIOR
by Serhii_Bond
Aroon Indicator for BTC.X shows an upward move is likelyAroon Indicator for BTC.X shows an upward move is likely BTC.X's Aroon Indicator triggered a bullish signal on January 12, 2024. Tickeron's A.I.dvisor detected that the AroonUp green line is above 70 while the AroonDown red line is below 30. When the up indicator moves above 70 and the down indicator remains below 30, it is a sign that the stock could be setting up for a bullish move. Traders may want to buy the stock or look to buy calls options. A.I.dvisor looked at 442 similar instances where the Aroon Indicator showed a similar pattern. In 239 of the 442 cases, the stock moved higher in the days that followed. This puts the odds of a move higher at 54%. Robot factory Trading Results for last 12 months BTC.X AI Robots (Signals Only) AI Robot's Name P/L Day Trader with Trailing Stops, Cryptos 7 (TA) 13.73% Price Prediction Chart Technical Analysis (Indicators) Bullish Trend Analysis The Momentum Indicator moved above the 0 level on January 28, 2024. You may want to consider a long position or call options on BTC.X as a result. In 63 of 132 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are 48%. The Moving Average Convergence Divergence (MACD) for BTC.X just turned positive on January 29, 2024. Looking at past instances where BTC.X's MACD turned positive, the stock continued to rise in 28 of 59 cases over the following month. The odds of a continued upward trend are 47%. BTC.X moved above its 50-day moving average on February 01, 2024 date and that indicates a change from a downward trend to an upward trend. Following a +1.42% 3-day Advance, the price is estimated to grow further. Considering data from situations where BTC.X advanced for three days, in 212 of 445 cases, the price rose further within the following month. The odds of a continued upward trend are 48%.
BITSTAMP:BTCUSDLong
by Serhii_Bond
Momentum Indicator for DASH.X turns positiveMomentum Indicator for DASH.X turns positive, indicating new upward trend DASH.X saw its Momentum Indicator move above the 0 level on February 02, 2024. This is an indication that the stock could be shifting in to a new upward move. Traders may want to consider buying the stock or buying call options. Tickeron's A.I.dvisor looked at 133 similar instances where the indicator turned positive. In 73 of the 133 cases, the stock moved higher in the following days. The odds of a move higher are at 55%. Price Prediction Chart Technical Analysis (Indicators) Bullish Trend Analysis The Stochastic Oscillator suggests the stock price trend may be in a reversal from a downward trend to an upward trend. 47 of 92 cases where DASH.X's Stochastic Oscillator exited the oversold zone resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 51%. The Moving Average Convergence Divergence (MACD) for DASH.X just turned positive on January 27, 2024. Looking at past instances where DASH.X's MACD turned positive, the stock continued to rise in 26 of 60 cases over the following month. The odds of a continued upward trend are 43%. Following a +3.68% 3-day Advance, the price is estimated to grow further. Considering data from situations where DASH.X advanced for three days, in 236 of 469 cases, the price rose further within the following month. The odds of a continued upward trend are 50%. DASH.X may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options. Robot factory Trading Results for last 12 months DASH.X AI Robots (Signals Only) AI Robot's Name P/L Trend Trader: Crypto Futures Group Trends (TA) 42.18% Swing Trader: Crypto Pattern Trading at Trend Reversal Points (TA) 16.31% Day Trader: Crypto Pattern Trading in Low-Volatility Markets (TA) 6.02% Market Cap The average market capitalization across the group is 321.59M. The market cap for tickers in the group ranges from 321.59M to 321.59M. DASH.X holds the highest valuation in this group at 321.59M. The lowest valued company is DASH.X at 321.59M. High and low price notable news The average weekly price growth across all stocks in the group was -0%. For the same group, the average monthly price growth was -5%, and the average quarterly price growth was -15%. DASH.X experienced the highest price growth at -0%, while DASH.X experienced the biggest fall at -0%. Volume The average weekly volume growth across all stocks in the group was -18%. For the same stocks of the group, the average monthly volume growth was -66% and the average quarterly volume growth was -42%
Long
by Serhii_Bond
SOL.X in +3.52% UptrendSOL.X in +3.52% Uptrend, growing for three consecutive days on February 02, 2024 Moving higher for three straight days is viewed as a bullish sign. Keep an eye on this stock for future growth. Considering data from situations where SOL.X advanced for three days, in 243 of 335 cases, the price rose further within the following month. The odds of a continued upward trend are 73%. Price Prediction Chart Technical Analysis (Indicators) Bullish Trend Analysis The Momentum Indicator moved above the 0 level on January 28, 2024. You may want to consider a long position or call options on SOL.X as a result. In 71 of 108 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are 66%. The Moving Average Convergence Divergence (MACD) for SOL.X just turned positive on January 29, 2024. Looking at past instances where SOL.X's MACD turned positive, the stock continued to rise in 35 of 53 cases over the following month. The odds of a continued upward trend are 66%. SOL.X moved above its 50-day moving average on January 26, 2024 date and that indicates a change from a downward trend to an upward trend. SOL.X may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options. CRYPTOCAP:SOL Robot factory Trading Results for last 12 months SOL.X AI Robots (Signals Only) AI Robot's Name P/L Swing Trader: Crypto Pattern Trading at Trend Reversal Points (TA) 14.01% Day Trader: Crypto Pattern Trading in Low-Volatility Markets (TA) 4.62% Day Trader: Crypto Pattern Trading in High-Volatility Markets (TA) 3.93% Market Cap The average market capitalization across the group is 43.79B. The market cap for tickers in the group ranges from 43.79B to 43.79B. SOL.X holds the highest valuation in this group at 43.79B. The lowest valued company is SOL.X at 43.79B. High and low price notable news The average weekly price growth across all stocks in the group was 9%. For the same group, the average monthly price growth was 2%, and the average quarterly price growth was 333%. SOL.X experienced the highest price growth at 9%, while SOL.X experienced the biggest fall at 9%. Volume The average weekly volume growth across all stocks in the group was 27%. For the same stocks of the group, the average monthly volume growth was -53% and the average quarterly volume growth was 703%
CRYPTOCAP:SOLLong
by Serhii_Bond
Navigating Past Waters: BacktestingNavigating Past Waters: A Guide to Backtesting Trading Strategies Introduction Backtesting trading strategies is an essential step for traders who wish to improve their market performance. This process involves applying a trading strategy to historical data to evaluate its viability and profitability. Here, we’ll explore the importance of backtesting, the steps involved, and the considerations traders should keep in mind. Importance of Backtesting Backtesting is pivotal for several reasons: Risk Reduction : It helps traders understand potential risks and returns, allowing them to adjust their strategies accordingly. Strategy Refinement: Traders can optimize their strategies by analyzing various parameters and their effects on performance. Increased Confidence: Understanding how a strategy would have performed historically can build traders’ confidence in their approach. Steps for Backtesting Trading Strategies 1. Define Strategy: Clearly articulate the trading strategy, including entry and exit signals, risk management rules, and other relevant parameters. 2. Select Historical Data: Choose historical price data that is high in quality and relevant to your trading time frame. 3. Code the Strategy: Translate your trading rules into code, using a programming language compatible with your backtesting platform. 4. Run the Backtest: Apply the coded strategy to the selected historical data and run the backtest, taking note of performance metrics. 5. Analyze Results: Evaluate the performance and risk metrics, such as the maximum drawdown, Sharpe ratio, and total returns. 6. Optimize & Refine: Adjust strategy parameters and run the backtest again to optimize performance. Considerations When Backtesting Data Snooping Bias: Be aware of the risk of overfitting, where the strategy performs well on historical data but fails with future price movements. Survivorship Bias: Ensure that the historical data used includes all assets available during that period, not just those that have 'survived' until the present. Liquidity Concerns: Take into account the liquidity of the assets you are testing, as it can impact the strategy’s execution. Transaction Costs: Incorporate transaction costs, including spreads, commissions, and slippage, to get a more accurate picture of potential profits and losses. Best Practices Use Adequate Data: More extensive data sets can provide a more accurate representation of a strategy’s potential. Start Simple: Begin with straightforward strategies before gradually incorporating complexity. Conduct Out-of-Sample Testing: Validate your strategy using data that was not included in the initial backtesting phase. Stay Skeptical: Remember that past performance is not indicative of future results, and approach backtesting results with a healthy dose of skepticism. Conclusion Backtesting trading strategies is a crucial, proactive measure that traders can employ to gauge the effectiveness of their trading plans before deploying them in live markets. While the process is invaluable, traders must be conscious of its limitations and biases. Through careful and critical backtesting, traders can refine and optimize their strategies, improving their chances of success in the fast-paced and ever-changing financial markets. Whether a novice trader or a seasoned market veteran, backtesting is a vital tool in every successful trader's toolkit.
BLACKBULL:SPX500Education
by JS_TechTrading
Trading With Robots (EA) | Your Pros & Cons 🤖 Hey traders, Trading robots are commonly perceived as a sort of magic button. Once it is clicked, the system starts trading automagically, generating consistent profits. What can be better? However, many pitfalls are hidden behind its simplicity. In this educational article, we will discuss the advantages and disadvantages of trading with Expert Advisers (EA) / robots. Let's start with the positives ➕: The first major advantage of EA is the fact that it works 24/7, without delays and coffee breaks. Once it is launched, it will keep working till you stop it. The second advantage of EA is that it is non-emotional and objective. It strictly follows the algorithm and rules determined by a program. It is not influenced by psychological biases, making each trade extremely precise. The third strength of trading robots is the processing speed and its limitless scalability. EA can monitor dozens of trading instruments on multiple time frames simultaneously, not missing any bit of information. Hence, it requires less time for decision-making and trade execution. The fourth advantage of EA is the simplicity of its backtesting. Once the algorithm is written and the order execution rules are described, they can be quickly and easily tested on a historical data. So far, sounds like a panacea, right?! But now, let's discuss the negatives ➖: Similar to any software, app or program, the EA is vulnerable to bugs, and may occasionally lag. Therefore, it requires a constant oversight and maintenance. In order to fix the bugs and maintain that, a high level of experience is required. One should have the advanced skills both in coding and in trading. Moreover, admitting the fact that the market is constantly changing and evolving, one should regularly update the EA and adapt it. In comparison to humans, trading robots are not learning, they do not evolve themselves. Leaving the robot without supervision, updates and patches, it may blow the entire account in a glimpse of an eye without any embarrassment. One more important thing to add about EA, is the fact that it is technical analysis based. For now, there are no solutions on the market that would allow the integration of fundamentals in the algorithm. Unfortunately, most of the traders overestimate the strengths of trading robots, completely neglecting its obvious weaknesses. If you decide to apply EA in trading, always consider its pros and cons that we discuss in the post. ❤️Please, support my work with like, thank you!❤️
FOREXCOM:XAUUSDEducation
by VasilyTrader
8
How to auto-execute TradingView alerts on exchangeIf you have your own strategy in TradingView, you can set up opening trades on the exchange in a couple of clicks. Next, you’ll see an example of how we set up alerts in 5 minutes, and how orders were opened and closed on the exchange. To do this, we will create alerts and a bot for alerts on our platform. Step 1. Set the alert parameters. Go to our terminal, select the Algotrading section → Trading Robots → Add strategy button. You will see an interface for creating and customizing your bot, where you need to perform the Basic settings and proceed to setting the parameters for sending signals to the system. To do this, go to the Sending signals block. The TradingView signal source is already selected. Copy the Request URL. On the right side of the window, we see the code with the request parameters. You can add other parameters with checkboxes, we have added Stop Loss and Take Profit. Copy and save the code. Step 2. Launch the bot. Next, find the created bot in the All robots section and launch it in Work trading mode according to the manuals in the terminal. Step 3. Set up an alert in TradingView. Go to TradingView, open the Alerts section and set up an alert, for example, for opening an order (Buy) based on a simple indicator - in our case, Crossing. Paste the code that we got in Step 1 in the Message field. Paste the request URL we got in Step 1 in the Webhook URL field and Save. The alert has been successfully created and is active on TradingView in the Alerts section. Step 4. Monitor the orders. The alert triggers and ... Go to the Alerts log, where we see a notification about executed alerts from TradingView. We can check in the bot on our platform, open the Trades tab - we see open orders. And we see that alert orders are open on the exchange. Since we set Stop Loss and Take Profit, the orders were not only opened, but also closed. In the platform we can find deals, on the exchange we can find orders with the Sell parameter. We hope that now trading with TradingView will become even easier. We will release new and more detailed articles for you on using webhooks so that the strategy created here works 24/7 without your participation.
Education
by Crypto_robotics
11
When Will Robots Gain ‘Common Sense’?2022 has been a year where we have heard different applications of artificial intelligence continually increasing different types of capabilities: - Large-language-models, exemplified by GPT-31, have become larger and have pointed their capabilities toward more and more areas, like computer programming languages. - DeepMind further expanded its AlphaFold toolkit, showing predictions of the structure of more than 200 million proteins and making these predictions available at no charge for researchers2. - There has even been expansion in what’s termed ‘autoML’3 , which refers to low-code machine learning tools that could give more people, without data science or computer science expertise, access to machine learning4. However, even if we can agree that advances are happening machines are still primarily helpful in discrete tasks and would not possess much in the way of flexibility to respond to many different changing situations in short order. Intersection of large language models and robotics Large language models are interesting in many cases for their emergent properties. These giant models may have hundreds of billions if not trillions of parameters. One output could be written text. Another could be something akin to ‘autocomplete’ in coding applications. But what if you told a robot something like, ‘I’m hungry.’ As a human being, if we hear someone say, ‘I’m hungry’, we can intuit many different things quite quickly based on our surroundings. At a certain time of day, maybe we start thinking of going to restaurants. Maybe we get the smartphone out and think about takeout or delivery. Maybe we start preparing a meal. A robot would not necessarily have any of this ‘situational awareness’ if it wasn’t fully programmed in ahead of time. We would naturally tend to think of robots as able to perform their specific, pre-programmed functions within the guidelines of precise tasks. Maybe we would think a robot could respond to a series of very simple instructions—telling it where to go with certain key words, what to do with certain additional key words. ‘I’m hungry’—a two-word command with no inherent instructions would be assumed to be impossible. Google’s Pathways Language Model (PaLM) — a start to more complex human/robot interactions Google researchers were able to demonstrate a robot able to respond, within a closed environment admittedly, to the statement ‘I’m hungry.’ It was able to locate food, grasp it, and then offer it to the human5. Google’s PaLM model was underlying the robot’s capability to take the inputs of language and translate them into actions. PaLM is notable in that it builds in the capability to explain, in natural language, how it reaches certain conclusions6. As is often the case, the most dynamic outcomes tend to come when one can mix different ways of learning to lead to greater capabilities. Of course, PaLM, by itself, cannot automatically inform a robot how to physically grab a bar of chocolate, for example. The researchers would demonstrate, via remote control, how to do certain things. PaLM was helpful in allowing the robot to connect these concrete, learned actions, with relatively abstract statements made by humans, such as ‘I’m hungry’ which doesn’t necessarily have any explicit command7. The researchers at Google and Everyday Robots titled a paper ‘Do As I Can, Not As I Say: Grounding Language in Robotic Affordance’s 8. In Figure 1, we see the genius behind such a title, in that it’s important to recognise that large language models may take as their ‘inspiration’ text from across the entire internet, most of which would not be applicable to a particular robot in a particular situation. The system must ‘find the intersection’ between what the language model indicates makes sense to do and what the robot itself can actually achieve in the physical world. For instance: - Different language models might associate cleaning up a spill with all different types of cleaning—they may not be able to use their immense training to see that a vacuum may not be the best way to clean up a liquid. They may also simply express regret that a spill has occurred. - If one is thinking of the intersection that has the highest chance of making sense, if a robot in a given situation can ‘find a sponge’ and the large language model indicates that the response of ‘find a sponge’ could make sense, marrying these two concepts could lead the robot to at least attempt a productive, corrective action to the spill situation. The ‘SayCan’ model, while certainly not perfect and not a substitute for true understanding, is an interesting way to get robots to do things that could make sense in a situation without being directly programmed to respond to a statement in that precise manner. In a sense, this is the most exciting part of this particular line of research: - Robots tend to need short, hard-coded commands. Understanding more less specific instructions isn’t typically possible. - Large language models have demonstrated an impressive capability to respond to different prompts, but it’s always in a ‘digital-only’ setting. If the strength of robots in the physical world can be married with the, at least seeming, capability to understand natural language that comes from large language models, you have the opportunity for a notable synergy that is better than either working on its own. Conclusion: companies are pursuing robotic capabilities in a variety of ways Within artificial intelligence, it’s important to recognise the critical progression from concept to research to breakthroughs and then only later mass market usage and (hopefully) profitability. The robots understanding abstract natural language today could be some distance away from mass market revenue generating activity. Yet, we see companies taking action toward greater and greater usage of robotics. Amazon is often in focus for what it may be able to use robots for in its distribution centres, but even more recently it has announced its intention to acquire iRobot9, the maker of the Roomba vacuum system. Robots with increasingly advanced capability will have a role to play in society as we keep moving forward. Today’s environment of rising wage pressures does have companies exploring more and more what robots and automation could bring to their operations. It is important not to overstate where we are in 2022—robots are not able to exemplify fully human behaviours at this point—but we should expect remarkable progress in the coming years. Sources 1 Generative Pre-trained Transformer 3 2 Source: Callaway, Ewen. “’The Entire Protein Universe’: AI Predicts Shape of Nearly Every Known Protein.” Nature. Volume 608. 4 August 2022. 3 Automated machine learning 4 Source: Xu, Tammy. “Automated techniques could make it easier to develop AI.” MIT Technology Review. 5 August 2022. 5 Source: Knight, Will. “Google’s New Robot Learned to Take Orders by Scraping the Web.” WIRED. 16 August 2022. 6 Source: Knight, 16 August 2022. 7 Source: Knight, 16 August 2022. 8 Source: Ahn et al. “Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.” ARXIV. Submitted 4 April 2022, last revised 16 August 2022. 9 Source: Hart, Connor. “Amazon Buying Roomba Maker iRobot for $1.7 Billion.” Wall Street Journal. 5 August 2022. 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.
A
by aneekaguptaWTE
S&P500-Potential for relief run to fill gap at 0.618 ,bot deployTo make this strategy clear , the weakening dollar in "SHORT" term will result in a side ways to upwards markets. This will lead to volatility in crypto markets which are optimal conditions to deploy trading bots within a price range. The S&P500 being the leading indicator for this strategy .Considering the Gap @ 0.618fib and a possible short term Dollar cool off ,its probable it gets filled. I can imagine plenty short liquidations above $4000 which will be a nice stop hunt into that price area. P.S. This is by no means a long signal as fundamentals and economic data is scary AF. Its to deploy bots with risk mitigation when conditions are conducive. There is no sign of DXY losing momentum in mid to long term and we will see S&P500 much much lower so ensure safety.
TVC:SPX
by onestaragencies
AGIX TO DO A 675X- Sounds CRAZY right? - However go look at these assets they all peaked to the 89 FIB extension: Telcoin, Bitcoin, Ethereum, XRP, DOGE, XLM, SOL and many more. - AGIX is going to do really well, ARTIFICAL INTELLIGENCE IS THE FUTURE! - AGIX today is sitting at around £0.0389! - $33 (£27) - £27 divided by £0.04 = 675 - Now imagine you dollar cost averaged in at £100 a month at £0.04 in 5 months you would have around 12,500 AGIX as long as it stays at that price. - 12,500 X £27 = £337,500!!! - NOT FINANCIAL ADVICE!
ALong
by ALTCOIN_BEAST
3
IRBT - Wow the month chart - scary but hides a secretSo I love the company "IROBOT" symbol IRBT. They have incredible Revenues and Profits. They have the coolest toys to clean your home and more. On this post with so many earnings they have only missed -----7----- times. Holly crap why does the chart look like a damn roller coaster at Six Flags then? Most all of those misses were not in the past 10 years. For one thing in this month chart as they were recovering from the last drop they were beat down by the covid slaughter and have recovered nicely. I think to myself are we at the top and are we going to see another dip in 2-4 months. By the month chart it damn sure looks that way....? Well if you take out the covid drop it does not look so bad. They have had a gradual rise over the years and currently have a low p/e ratio of 25. This is great!! They should be much higher than where they are because of their profitability and positive outlook. My thought is that this stock it not reaching the top, but that it is just starting off and has been under the radar for a long time. I am Long, but cautious.
NASDAQ:IRBTLong
by sid72
$IPGP IPG Photonics a STRONG LONG with Immense UpsideNote the ascending trade channel $IPGP is adhering to. It has all the makings of a very nice swing, potential upside over 240-250/share. Some exit-points can be delineated after further confirmation signals, but avg Cost right now is 203.43, with a post-market movement to 207.01. That is a start, and a good one, to this new LONG on IPG Photonics. As for a tip on the position, it was plucked as a top performer in the $ROBO ETF. Thus far, it is excelling on an overall rougher day for the market. Best of luck, with this idea, or not, and such... -BDR
NASDAQ:IPGPLong
by BDRTrigger33