AI (Artificial Intelligence) can be used in various ways within the crypto industry, such as:

Fraud Detection: AI can be used to detect fraudulent activities in crypto transactions, as it can analyze large amounts of data to identify patterns and anomalies.

Trading Strategies: AI can be used to analyze market data and create trading strategies based on historical patterns, sentiment analysis, and other factors.

Security: AI can be used to improve security in crypto by analyzing network traffic to identify potential security threats and vulnerabilities.

Market Predictions: AI can be used to analyze market trends and predict future prices of cryptocurrencies, which can help traders make informed investment decisions.

Mining Optimization: AI can be used to optimize cryptocurrency mining operations by analyzing data on energy consumption and performance to increase efficiency.

Overall, AI can help improve the efficiency, security, and profitability of crypto operations, making it an important tool in the industry.

#ai #aicrypto #crypto #rajeevanand #cryptomarg

Artificial Intelligence is not just any buzzword. In fact, it’s easily the most popular topic in 2023. Indeed, I’m sure you’ve heard of ChatGPT and many other AI tools.

As a crypto investor, how can you jump on the AI bandwagon to bank some profits? If that’s what you’re into, stick around! Today, we’re bringing to you our top 3 AI coins that’ll crush in the upcoming crypto bull.

✅Coin #1 – OriginTrail (Token: $TRAC)

The first pick from our top 3 AI coins is Origin Trail. Origin Trail is a network that allows data sharing amongst blockchains. Its network comprises a Decentralized Knowledge Graph (DKG). With this DKG, many blockchains and companies can share data. As a result, t

hese parties do not need to maintain a huge log of data. Moreover, this reduces processing times on the party’s own networks.

But, where does the “AI” part come in for Origin Trail? Well, the data which it shares within the network is AI-ready. Simply put, this means that AI solutions can readily tap into the DKG to provide accurate data. With DKG, you won’t be getting “fake news” from your AI tools!

With Origin Trail, you’re investing in the “shovels” during the gold rush. As the adoption of AI increases, so will the use of support networks like Origin Trail. To get in on the action, check out Origin Trail’s $TRAC token. Its use cases include:

Incentivizing hosts, liquidity providers, and consensus providers.

Creating knowledge “tokens” and inputting data onto the DKG.

Buying knowledge “tokens” and data from the DKG.

Staking on the Origin Trail network for a yearly return.

Besides its useful $TRAC token, Origin Trail’s team is an “all-star” one as well. You can check them out here. The top 3 founders have a wealth of blockchain and supply chain experience. So, you can rest assured that Origin Trail is in good hands. Now, let’s move on to Coin #2, shall we?

✅Coin #2 – Cortex (Token: $CTXC)

The next pick from our top 3 AI coins is Cortex. Cortex is an open-source, peer-to-peer (P2P) decentralized blockchain. With its chain, Cortex aims to support the on-chain execution of AI models. Simply put, Cortex integrates AI models into smart contracts. In turn, this will improve the AI experience for Decentralized Applications (dApps).

Like Origin Trail, Cortex provides a platform for AI to thrive. And again, as AI improves, so will the adoption of such supporting projects. Below, Cortex ties itself closely to AI developers. With the $CTXC token, Cortex is able to incentivize AI developers to store their models on-chain.

Aside from incentives, $CTXC has other use cases as well. These include:

Preventing wash-trading on Cortex.

Proving biometric IDs.

Supporting AI oracles and competitions.

Participating in AI Decentralized Autonomous Organisations (DAOs).

Cortex is relevant today because of its founding team, Cortex Labs. As you can see, the team is full of experts in entrepreneurship, blockchain, and AI. With such bright minds behind this project, Cortex primes itself to support the AI models of tomorrow. Now, let’s segue into the last coin of today, Coin #3.

✅Coin #3 – PlatON Network (Token: $LAT)

Last but not least, we have our final pick of the top 3 AI coins. It’s none other than PlatON Network. PlatON is a privacy-preserving AI network. It combines the benefits of blockchain and privacy-preserving technology. With that, PlatON aims to create a platform for AI to be safe and decentralized.

To add on, PlatON sticks true to the principles of a good blockchain. By using its own computation algorithm, PlatON brings computation off-chain. Hence, its blockchain only needs to perform transaction verification on-chain. Overall, this improves the scalability and speed of its blockchain.

The PlatON Network was created by the LatticeX Foundation. With LatticeX, PlatON has a strong team to aid its development. The LatticeX team is well-versed in privacy technologies. These include Multi-Party Computation (MPC) and Zero-Knowledge Proofs (ZKProofs).

Indeed, PlatON has a very specific focus on AI privacy. But, PlatON is pretty active in the NFT space too! On top of that, it’s working on a Metaverse as well. So, keep an eye out for this all-rounder project! PlatON network’s has its own native token, $LAT. $LAT’s use cases on the PlatON network are:

Medium of exchange and gas fees.

Incentive token.

Staking and Governance.

Conclusion

Whether you like it or not, AI is here to stay. Not only will it stay, it will dominate. AI will displace many jobs and professions. It will disrupt many industries. Furthermore, it’ll be part and parcel of our lives in the years ahead. Keep a sharp eye out for good crypto AI projects. By doing so, you could be riding the AI wave to greater profits.

#aicrypto #cryptonews

Welcome to the realm of crypto profits powered by AI!

In this guide, I'll unveil five incredible ways I'm leveraging the magic of artificial intelligence (AI) to stack up the digital dough in the exciting world of cryptocurrencies.

Let's dive into the future of crypto together! 🚀💻🔥

AI-Powered Trading Bots🤖:

With AI-powered trading bots by my side, I've unlocked the ability to execute trades with lightning speed and precision. These bots analyze market trends, crunch numbers faster than you can say "crypto moolah," and strike when the iron's hot.

It's like having an army of AI assistants working tirelessly to boost my profits while I sit back and enjoy the show.

Predictive Analytics 📊:

Decrypting Crypto Trends🔍 Unlock the secrets of the crypto crystal ball! Thanks to AI's predictive analytics, I can peer into the future of crypto like a digital fortune-teller. By harnessing the power of advanced algorithms and data analysis, AI models forecast price movements and market trends. Armed with this digital divination, I make informed decisions and stay one step ahead of the crypto game. It's like having a personal AI oracle guiding me toward financial abundance.

Sentiment Analysis😄:

Ride the Wave of Market Emotions 😢 Crypto markets are a wild rollercoaster of emotions, my friend. But fear not! With AI's sentiment analysis, I'm equipped to ride the waves of market feelings like a pro surfer. By analyzing social media, news articles, and online chatter, AI algorithms gauge the collective sentiment of the crypto community. Whether it's euphoria or panic, I navigate the emotional tides to make strategic moves and maximize my gains. Embrace the power of emotional intelligence in the crypto realm!

Portfolio Optimization📈: Master the Art of Balance 🌟 Building a strong crypto portfolio is an art, my fellow enthusiasts. Luckily, AI is my artistic companion! With its sophisticated algorithms, AI evaluates different cryptocurrencies, assesses risks, and discovers correlations to create the ultimate balance in my portfolio. It's like having a digital curator arranging the perfect ensemble of coins, maximizing returns while minimizing exposure to volatility. Keep your crypto collection in tune with AI's harmony.

Fraud Detection🕵️‍♂️: Safeguard Your Crypto Kingdom 🔒 In the realm of crypto, scammers lurk in the shadows, ready to pounce on the unsuspecting. Fear not, for AI is my guardian against these mischievous villains. AI-powered fraud detection systems act as my vigilant protectors, sniffing out suspicious activities and safeguarding my digital treasure. With AI by my side, I can sleep soundly, knowing that my hard-earned crypto is shielded from the dark forces of fraud. Keep calm and let AI tackle the bad guys!

Conclusion:

In the exciting era of 2023, AI has become my trusted companion on the journey to crypto riches💪 . Through AI-powered trading bots, predictive analytics, sentiment analysis, portfolio optimization, and fraud detection, I've harnessed the power of AI to navigate the crypto landscape with confidence and success💰. So, embrace the AI revolution, my friends, and let it be your passport to a profitable crypto future.🤖

#crypto2023 #dyor #cryptocurrency #aicrypto #googleai

Recently, I sought advice from ChatGPT to develop a trading strategy to turn $100 into $10,000 as quickly as possible. While the initial suggestions were generic, I decided to be more specific and requested a strategy using an AI-based trading view indicator called Machine Learning KNN. This article will provide a detailed step-by-step guide to setting up and testing the strategy to determine its effectiveness.

Step 1: Opening Charts and Adding Indicators Before testing the strategy, we need to add the necessary indicators to the trading chart. The strategy includes three free trading tools, which we will add one by one.

To begin, open a trading chart on your preferred trading platform or software. This could be a platform like TradingView or any other charting software that supports the indicators mentioned in the strategy.

Once you have opened the chart, locate the option to add indicators or tools to your chart. This is typically represented by an icon that resembles a chart or a plus sign (+). Click on this icon to access the indicator library.

Step 2: Adding the Machine Learning KNN Indicator The first indicator we will add is the Machine learning-based KNN strategy. This indicator analyzes historical market data and predicts future price movements based on patterns. It utilizes the K-nearest neighbors (KNN) classification algorithm to determine whether a stock price is likely to go up or down.

In the indicator library, search for the Machine Learning KNN indicator. This indicator may have been created by a specific developer or author, so it's important to know its exact name or the name of the author who developed it.

Once you have found the Machine Learning KNN indicator, click on it to add it to your chart. Depending on the platform or software you are using, there may be options to customize the settings or parameters of the indicator. Take a moment to familiarize yourself with these options and adjust them as necessary based on your preferences or the default settings recommended for the strategy.

The Machine Learning KNN indicator will now be displayed on your chart, analyzing historical market data and providing predictions about future price movements based on patterns it has identified. Pay attention to the signals or labels generated by the indicator, as these will guide your trading decisions.

Step 3: Understanding the EMA Ribbon Indicator To filter out false signals, we will add the EMA Ribbon indicator by Dominic or Selecti. The Exponential Moving Average (EMA) Ribbon consists of multiple EMAs with different time periods stacked on top of each other. This tool helps identify the direction and strength of a trend in the market.

Step 4: Adding Relative Strength Index (RSI) To further confirm valid trade entries, we will use the Relative Strength Index (RSI). The RSI measures the strength of a security's price action and ranges from 0 to 100. We will make the RSI more sensitive by adjusting the upper and lower bands to 60 and 40, respectively.

Step 5: Entry Conditions for Long Trades To open a long trade, the following conditions must be met:

The price must close above the 200 EMA.

The EMA Ribbon must be above the 200 EMA and green.

Price must pull back into the ribbon without closing below the long-term EMA.

The Machine Learning KNN strategy must print a blue label.

The RSI must be oversold prior to the buy signal.

Step 6: Setting Stop-Loss and Profit Targets for Long Trades Once the conditions for a long trade are met, set the stop loss below the recent swing low and target a profit of two times the risk. Once the trade has reached 1/4 of the profit target, adjust the stop loss to the break-even price.

Step 7: Entry Conditions for Short Trades To open a short trade, the following conditions must be met:

Price and the EMA The ribbon must fall below the 200 EMA, and the ribbon must turn red.

Price must pull back into the ribbon without closing above the 200 EMA.

The RSI must become overbought during the pullback.

Machine Learning KNN must provide a sell signal, excluding cases when the RSI is oversold.

Step 8: Setting Stop-Loss and Profit Targets for Short Trades For short trades, set the stop loss above the recent swing high and target a profit of two times the risk. Move the stop loss to the break-even point once 1/4 of the profit is made.

Step 9: Backtesting and Results With the setup complete, proceed to backtest the strategy using the price of Ethereum on a 3-minute timeframe. Execute the strategy 100 times and record the results. In this specific case, the starting account balance of $100 increased to $19,527 after 100 trades.

Requesting Specific Advice from ChatGPT: Initially, ask ChatGPT to provide a trading strategy to turn $100 into $10,000 as quickly as possible. You will receive some general tips, such as focusing on highly volatile assets, using technical analysis, and maintaining disciplined trading practices. However, you want more specific guidance.

Step 2: Refining the Question for ChatGPT To obtain more targeted advice, you need to be more specific in your question. So ask ChatGPT to create the best strategy using an AI-based trading view indicator called Machine Learning. This indicator is very popular and viral.

Conclusion: While this strategy involves higher risk due to the 5% risk per trade, it can help grow a small account rapidly. However, it is crucial to conduct forward testing on a paper account before implementing it with real funds. Remember, risk management and thorough testing are vital aspects of successful trading.

#crypto2023 #aicrypto