Trending December 2023 # Waves Price Prediction – Why These Cryptos Are A Better Investment In 2023 # Suggested January 2024 # Top 20 Popular

You are reading the article Waves Price Prediction – Why These Cryptos Are A Better Investment In 2023 updated in December 2023 on the website We hope that the information we have shared is helpful to you. If you find the content interesting and meaningful, please share it with your friends and continue to follow and support us for the latest updates. Suggested January 2024 Waves Price Prediction – Why These Cryptos Are A Better Investment In 2023

Waves was launched back in 2023, and it has had its ups and downs on the road so far. The highest price was noted on April 1, 2023, just above $48.5. During the crypto market crash, it went down to the current price of $3.5960.

The blockchain technology that they are currently using is based on PoS (proof-of-stake) model. They are planning to migrate to the PPoSS (practical-proof-of-stake-sharding) model in the next period, which is also compatible with Ethereum Virtual Machine. It is a good thing to know since this model will enable Ethereum-based protocols to migrate to Waves much easier.

Another thing that is worth mentioning regarding Waves is that it operates as a decentralized autonomous organization (DAO). The Waves association is a non-profit organization that is mainly focusing on research and development as well as educational projects. In order to be a part of Waves Association, you will have to pay 100 WAVES (around $356.34 at the time of writing). When it comes to organizations, they will need twice the amount of the usual membership.

We are going to show you the price predictions for this coin, however, we also recommend checking chúng tôi as well as Tamadoge which are a better investment in 2023. Both cryptos are much promising and have proven that the price will go by the end of 2023.

Waves Price Prediction

The price predictions for this coin are interesting and can go beyond 30x. In order to achieve that price, you will have to be patient and hold for another 7-9 years. The current price is $3.5960, and it should reach the $4 mark by the end of 2023.

Almost every cryptocurrency has reached its almost lowest price due to a market crash that is related to many factors. By the end of 2025, the price should be around $13.5 which is a 3x return on your initial investment. It is a marathon and not a sprint, that is why you will have to be patient as Waves can reward you for your patience by the end of 2031 when the price should reach its high, around $127. That is an almost 40x return on your initial investment if you buy the coin now at this moment.

Waves has really potential in the long run, as you can see above. You will need a lot of patience in these crazy times. That is why we are highly recommending you to look for the following coins that are going to rise up in the next month and give you nearly 30x return. Those projects are Tamadoge and

Tamadoge – take care of your pet and use it for battles

Tamadoge is by far the most interesting project that is going to amaze you with its features and the Tamaverse. On top of that, you can earn great profits since this crypto is booming. The value increased almost 10 times within a few days of its release in July 2023. Many people missed out on this great opportunity, and if you are among them, no need to worry. You can hop on board right now and invest your money in this coin since many analysts are predicting for it to be the next Dogecoin. The community is growing rapidly, do not miss this chance to be a part of this amazing project.

Regarding the features, Tamadoge is the first meme coin with its metaverse, NFT store, and P2E crypto game setup with absolute utility. Coming to the TAMA facts, it is the currency that you can use in Tamaverse. Many other interesting things are set to be done within the Tamaverse, as creating your own TAMADOGE pet. You can breed it, to become stronger and use it in battles. The P2E system is going to be very rewarding with great prizes and other things.

The concept yet remains very simple, take care of your Tamadoge, so they can become stronger. In case you totally forget to check around them or forget to feed them, they will end up as Tamaghosts. The system uses the latest NFT and token standards to bring you tokens that you can use to inject life into your Tamadoge pets.

The Tamadoge ecosystem uses less energy in order to function. This is a massive improvement, and we can surely say that it is the best eco-friendly crypto to buy during an energy crisis. It is an ERC-20 coin, and you can find it on multiple exchange platforms. There is a fixed supply of 2 billion TAMA tokens, and it has a 5% burn rate, which makes it a deflationary token. – the eco-friendly project is for sure among the best coins to invest in 2023. chúng tôi is one of the best projects with the purpose to reduce carbon emissions that will help our environment. We can for sure say that it is also the greenest cryptocurrency that you can buy now.

The purpose of the project is to connect users with various eco-friendly projects that have the same goal. Around thousands of the largest retail brands allocate a specific percentage of sale margin for environmental projects. Those kinds of projects are going to help us save our planet.

Regarding the token itself, IMPT relies on its blockchain technology. It records transactions and tracks assets in a business network. The users can accumulate the IMPT tokens until they reach the necessary amount for their project.

The predictions for this token are huge since they already hit some milestones. It already hit $4 million in presales, which is just confirming that it is the crypto you should definitely buy before the price goes up.

General predictions for the carbon offset market are also interesting. It is going to be worth over $700 million by 2027 according to chúng tôi Which is a very promising market where many people will look for their chances to be a part of it. You should be a part of that project too, since it can earn you some nice profits, and on the other hand you are doing it for a good cause.

For more updates and information you should join the Telegram group which already has over 13k subscribers.


You're reading Waves Price Prediction – Why These Cryptos Are A Better Investment In 2023

Polkadot (Dot) Price Prediction 2023 – Why These 5 Tokens Offer Better Returns

Polkadot (DOT) Price Prediction 2023

Polkadot aims to create a scalable, interoperable ecosystem where multiple blockchains can coexist and interact seamlessly. This innovative approach has earned the platform a strong following and substantial investments. With the rapid growth of the DeFi market and the blockchain industry, Polkadot’s position as a leading platform for cross-chain compatibility is becoming increasingly important.

However, predicting the future price of DOT can be challenging due to the volatile nature of the cryptocurrency market. Nevertheless, several factors could drive the price of DOT higher in the coming years, such as:

– Increased demand for interoperable blockchain solutions

– Successful implementation of Polkadot’s roadmap

– Growing adoption of decentralized finance (DeFi) and other blockchain-based applications

Considering these factors, some analysts predict that the price of DOT could reach between $50 and $100 by 2023. However, the actual price could vary depending on market dynamics and other unforeseen factors.

Arbitrum (ARB) is a Layer 2 scaling solution built on Ethereum that aims to improve the scalability, speed, and cost of transactions on the Ethereum blockchain. It was launched in 2023 by Offchain Labs, a team of developers that includes the co-creator of Ethereum’s Plasma scaling solution. Arbitrum operates as a sidechain to Ethereum, meaning that it operates separately from the Ethereum blockchain but is still compatible with it.

Arbitrum’s unique selling proposition is its ability to enable fast and cheap transactions while maintaining the security and decentralization of the Ethereum network. It does this by using a system of validators who are selected through a random process and who work together to validate transactions on the network. This makes Arbitrum more decentralized than other Layer 2 solutions that rely on a smaller group of validators.

Optimism (OP) is a layer-two scaling solution built on top of Ethereum. It aims to tackle Ethereum’s scalability dilemma by reducing transaction fees and times while maintaining the security and decentralization of the Ethereum network. Optimism uses Optimistic Rollups, a scaling solution that relies on off-chain computation to trustlessly record transactions while still relying on the security of Ethereum. This approach helps the Ethereum network save a lot of work, making it more efficient and affordable for end-users.

OP is a separate blockchain running on top of Ethereum, and it provides benefits to the Ethereum mainnet. One of the main benefits is that it can handle a high number of transactions per second (TPS), which helps solve Ethereum’s TPS limitations. Moreover, OP reduces gas fees, which can be high on the Ethereum network during times of high network activity.

The Bedrock upgrade will introduce a new two-step withdrawal process to the Optimism Mainnet bridge, improving its security and making exploits much more difficult.

Monero’s blockchain technology is designed to obfuscate transactions and achieve anonymity, and it employs features such as stealth addresses that hide both the sender and receiver of a transaction, making it almost impossible to trace. 

VeChain (VET) is an enterprise-focused blockchain solution that specializes in supply chain management, enabling businesses to optimize and improve their supply chain processes. It was conceptualized in 2023 and launched in 2023. The VeChain blockchain operates using two tokens, VET and VTHO, which form a dual-token economy together. VET is used for transactions and other activities, while VTHO provides fee payments and functions as a “gas token” similar to gas for Ethereum transactions.

VeChain uses distributed ledger technology (DLT) to ensure transparency and trust in the supply chain industry, which helps reduce transmission delays, improve transparency, and increase efficiency. VeChain is capable of hosting enterprise-grade solutions and can also host decentralized finance (DeFi), decentralized applications (dApps), and non-fungible tokens (NFTs) ecosystems.

VeChain Thor is the blockchain-as-a-service (BaaS) platform built on Ethereum to service enterprise users with smart contract functionality and dApp capabilities. Its mainnet launched on June 30, 2023. The platform has several large partnerships in the supply chain industry, making it a reliable solution for businesses.

Join The TOADS Community Today

Polkadot (Polka) Price Prediction – Why These Cryptos Can Give You 10X More Gain!

Polkadot (POLKA) was released in 2023 to connect various chains with its unique interoperability blockchain mechanism. The ecosystem allows data exchange and transaction processing for other blockchain projects without a security breach.

In May 2023, Polkadot reached a significant price of $6.30 

and the following year, it hit an all-time high of $55.11. So much has been expected of this crypto, but the price currently is at $6.19, according to Coinmarketcap. Investors are wondering if these once very profitable projects still hold significant value or if they should consider projects that currently dominate the crypto market – Tamadoge and

In this article, you’ll learn the price analysis of Polkadot, its price prediction, and other cryptos with 10x gain potential. Let’s get into it, shall we?

Polkadot Price Prediction Table and Analysis

Below is a price prediction table of Polkadot from the end of 2023 to 2027


Average Price 















As you can see from the table, the maximum predicted price for Polkadot during these six years is $70.8, but you’ll have to wait for that long. With these coins, however, you’ll get 10x profits in the nearest future as most of them just launched, and their prices are still low.

6 Cryptos to Invest in for 10x Gains

Here are six cryptos you can invest in for easy and fast 10x gains in the nearest future:

Tamadoge (TAMA) (IMPT)

Battle Infinity (IBAT)

Lucky Block (LBLOCK)

Ethereum (ETH)

Avalanche (AVAX)

Tamadoge (TAMA) – The most profitable Crypto Project Currently

Ever since meme coins entered the cryptocurrency space, many have made waves. Several investors made millions from Shiba Inu and Dogecoin, and Tamadoge has taken over. Tamadoge is a multi-utility meme coin that launched in July 2023.

The Tamadoge metaverse (called Tamaverse)  incorporates Play-to-Earn games where players buy virtual pets and train them into adulthood. They use the pets to battle other players and win rewards in TAMA tokens. The Tamadoge pets are NFTs you can mint, sell, and buy at the Tamadoge store. There are currently Ultra Rare NFTs with special features available that users can buy. 

Tamadoge has been listed on several centralized and decentralized exchanges like OKX(Centralized), OKX(Decentralized), Uniswap, LBank, Bitmart, MEXC, Coinsbit, and BKEX exchange. It has also released its first Ultra Rare NFTs for the gaming franchise, with only 100 available for auction. You can get them at OpenSea; the auction lasts only seven days. The price of the TAMA token is currently $0.03463, according to Coinmarketcap. (IMPT) – The Greener Earth Project with the Hottest Presale Right Now is one of the hottest crypto coins to enter the market space. It is a blockchain-based, web3, decentralized ecosystem that started presale on 3rd October 2023. The main objective of this exciting project is to help businesses and individuals neutralize their carbon footprints on the earth securely and efficiently.

The developers tokenize carbon credits into NFTs, which users can acquire using IMPT tokens. The NFTs are housed in a decentralized ledger that is traceable by anyone. That guarantees transparency and prevents fraud, as double counting cannot occur.

The presale of IMPT tokens is in three phases, and phase one is currently happening. Presale 1 offers 1 IMPT for $0.018 and has raised over $3.7 million as of this writing. 600,000,00 tokens are available during Presale 1, and it’s scheduled to end on 25th November 2023 or when the tokens are sold out. 

Presale 2 is set to begin when presale 1 sells out or on 1st December 2023. During Phase 2, 660,000,000 IMPT tokens will be available and sold at $0.023 per token. Presale 3 will have 540,000,000 tokens available at $0.02.

Battle Infinity (IBAT) – The Fantasy Sports League Crypto

This exciting project features metaverse features and an enticing Play-to-Earn mechanism that CoinSniper has verified to be KYC-verified. Users within the Battle Infinity metaverse can make their unique avatars and use them to participate in the metaverse games.

There are six various platforms that gamers can interact with on the ecosystem. The most notable one is the IBAT Premier League. It provides users with a fantasy sports league built on blockchain technology and NFTs and is the first of its kind. 

IBAT is the native token for the ecosystem, and the total supply is 10 billion. IBAT is currently trading on exchanges like LBANK and PancakeSwap.

Lucky Block (LBLOCK) – The New Jackpot Crypto Coin

Another reasonably new cryptocurrency project that just launched is Lucky Block. It combines NFT dynamics with Play-to-Earn features to revolutionize the global casino niche.

With problems of lack of trust and transparency in the current system of running jackpots, Lucky Block aims to do away with the centralization of operations through web3.0 decentralized methods.

Lucky Block ensures that winners of jackpot draws are randomly selected and that users vote on platforms where transactions are visible by all – Binance Smart Chain (BSC) blockchain. Holding LBLOCK tokens and linking to the Lucky Block app also provides passive income rewards for users regularly.

This reward corresponds to 20 percent of every jackpot. The V2 Lucky Block token upgrade has provided more listings on crypto exchanges than the V1 token. The V2 token features chúng tôi MEXC, Uniswap, and LBank. Therefore, Lucky Block also deserves some attention.

Ethereum (ETH) – The Multiple User Case Crypto

Ethereum, one of the biggest crypto boys, needs no introduction, as everyone knows the odds it has defiled. Ethereum has been the most valuable cryptocurrency for a while, second only to the almighty Bitcoin.

Ethereum is the most widely used crypto for decentralized apps because of its ability to provide smart contracts. Smart contracts eliminate the transactional need for mediators. In short, the use cases for Ethereum are so massive that it is one of the most sought-after.

The recent Ethereum 2.0 release following the merge has likely made drastic reductions in gas fees possible. With the increased scalability, experts predict an increase in value for Ethereum. For this reason, you should consider investing in Ethereum.

Avalanche (AVAX) – Strong Blockchain Substitute for Ethereum

The Avalanche project is a blockchain ecosystem with top-notch scalability features that allow it to go head-to-head with the top dogs in the crypto world. It uses three different chains instead of one blockchain, each serving a particular task.

This feature allows the Avalanche network to process up to  50,000 transactions in a second. With this unique scalability feature, the developers of decentralized app creators are attracted to this project as an alternative to Ethereum.

Ethereum is widely used for creating decentralized apps but has high gas fees. The transaction fees on Avalanche are much cheaper than the Ethereum Blockchain, so this project is considered very profitable. AVAX is Avalanche’s native token, and investors use AVAX for staking and paying network fees.


Safemoon Price Prediction, Will Sfm’s Price Hit $0.00032?

SFM should be around $0.00025.

SafeMoon price prediction 19 Jul 2023: SafeMoon’s price for 19 Jul 2023 according to our analysis should range between $0.00024 to $0.00028 and the average price of SFM should be around $0.00026.

SafeMoon price prediction 20 Jul 2023: SafeMoon’s price for 20 Jul 2023 according to our analysis should range between $0.00022 to $0.00025 and the average price of SFM should be around $0.00024.

SafeMoon price prediction 21 Jul 2023: SafeMoon’s price for 21 Jul 2023 according to our analysis should range between $0.00022 to $0.00025 and the average price of SFM should be around $0.00024.

SafeMoon price prediction 26 Jul 2023: SafeMoon’s price for 26 Jul 2023 according to our analysis should range between $0.00021 to $0.00025 and the average price of SFM should be around $0.00023.

SafeMoon price prediction 31 Jul 2023: SafeMoon’s price for 31 Jul 2023 according to our analysis should range between $0.00021 to $0.00024 and the average price of SFM should be around $0.00023.

SafeMoon price prediction 10 Aug 2023: SafeMoon’s price for 10 Aug 2023 according to our analysis should range between $0.00021 to $0.00024 and the average price of SFM should be around $0.00023.

SafeMoon price prediction September 2023: SafeMoon’s price for September 2023 according to our analysis should range between $0.00022 to $0.00025 and the average price of SFM should be around $0.00024.

SafeMoon price prediction October 2023: SafeMoon’s price for October 2023 according to our analysis should range between $0.00023 to $0.00026 and the average price of SFM should be around $0.00025.

SafeMoon price prediction November 2023: SafeMoon’s price for November 2023 according to our analysis should range between $0.00024 to $0.00027 and the average price of SFM should be around $0.00025.

SafeMoon price prediction December 2023: SafeMoon’s price for December 2023 according to our analysis should range between $0.00024 to $0.00028 and the average price of SFM should be around $0.00026.

SafeMoon price prediction 2024: SafeMoon’s price for 2024 according to our analysis should range between $0.00032 to $0.00049 and the average price of SFM should be around $0.0004.

SafeMoon price prediction 2025: SafeMoon’s price for 2025 according to our analysis should range between $0.00043 to $0.00065 and the average price of SFM should be around $0.00054.

SafeMoon price prediction 2026: SafeMoon’s price for 2026 according to our analysis should range between $0.00057 to $0.00086 and the average price of SFM should be around $0.00072.

SafeMoon price prediction 2027: SafeMoon’s price for 2027 according to our analysis should range between $0.00077 to $0.0011 and the average price of SFM should be around $0.00096.

SafeMoon price prediction 2028: SafeMoon’s price for 2028 according to our analysis should range between $0.001 to $0.0015 and the average price of SFM should be around $0.0012.

SafeMoon price prediction 2029: SafeMoon’s price for 2029 according to our analysis should range between $0.0013 to $0.002 and the average price of SFM should be around $0.0017.

SafeMoon price prediction 2030: SafeMoon’s price for 2030 according to our analysis should range between $0.0018 to $0.0027 and the average price of SFM should be around $0.0022.

SafeMoon price prediction 2031: SafeMoon’s price for 2031 according to our analysis should range between $0.0024 to $0.0036 and the average price of SFM should be around $0.003.

SafeMoon price prediction 2032: SafeMoon’s price for 2032 according to our analysis should range between $0.0032 to $0.0048 and the average price of SFM should be around $0.004.

SafeMoon price prediction 2033: SafeMoon’s price for 2033 according to our analysis should range between $0.0042 to $0.0063 and the average price of SFM should be around $0.0053.

SafeMoon price prediction 2034: SafeMoon’s price for 2034 according to our analysis should range between $0.0056 to $0.0085 and the average price of

Terra Luna Classic Price Prediction 2025

Disclaimer: The datasets shared in the following article have been compiled from a set of online resources and do not reflect AMBCrypto’s own research on the subject. 

In the last few days, the Terra Classic community has passed multiple proposals which included raising the Terra Luna Classic [LUNC] burn tax to 0.5%, rewarding people for staking, whitelisting Dapp’s contracts, and increasing community pool funding.

The value of LUNC stands at the same price level as it was a week earlier. The coin has become a playground depicting extremely volatile moves in both directions.

The project’s founder Do Kwon is currently under arrest after being caught in Montenegro. As per a latest report by Forkast, a South Korean court has approved local prosecutors’ request to freeze assets and properties worth $176 million belonging to Do Kwon. 

Besides, a Terra Classic network-based project named Cremation Coin has set the tone by burning over 9 million LUNC tokens as part of its weekly campaign. Cremation Coin’s cumulative burn now exceeds 390 million LUNC tokens, bringing some reassurance to the crypto world amid a falling LUNC burn pace.


9,447,631 $LUNC was just incinerated. Thanks to @Cremation_Coin for the contribution!

✅ terra1vwchc3pkrxn8kahd0g9wxd8zjr0drnduzkn4z3

Total #LunaClassic Burn is now: 55,737,474,348

— LUNC BURN TRACKER (@LUNCMetrics) May 2, 2023

Following 2023’s disasters, nearly the entire Terra blockchain development community left. And, most analysts predict a bleak future for the blockchain’s ecosystem.

On 23 March, news of Terra co-founder Do Kwon’s arrest reached the crypto-community. Terra co-founder Do Kwon, who was on the run since the Terra LUNA crisis, was finally arrested in Montenegro.   

LUNC was at the center of the collapse of the Terra ecosystem in May 2023. The coin has also been severely affected by the collapse of the crypto-exchange FTX in November last year. Its market capitalization has dropped from $1.5 billion to $735 million since then.

Transactions on the Terra 2.0 blockchain are validated through the proof-of-stake (PoS) consensus mechanism.

The leading cryptocurrency, Ethereum (ETH), has also transitioned from a proof-of-work to a proof-of-stake mechanism. This has only made the competition among PoS blockchains tougher.

The network has 130 validators working at a given point of time. As a PoS platform, it is considered being a very eco-friendly token.

Why do these projections matter?

A stablecoin is intended to safeguard coin holders against the volatility of other cryptocurrencies. It is pegged to either a fiat currency such as USD or to a supporting cryptocurrency. Terra USD (UST) was pegged to Luna Classic (LUNC- then, only LUNA).

For the initial few years, LUNC kept performing well. And, it was even among the top 10 cryptocurrencies by market value by the end of 2023.

But the Terra system collapsed in May 2023, leading to a fork. It basically launched a new version of Luna. The Terra Ecosystem Revival Plan 2 was implemented according to which both versions of the Luna token can exist.

Undoubtedly, the future of this cryptocurrency is crucial in determining if a failed crypto can make a comeback and grow.

Well, its performance after the May 2023 debacle has been, so far, less than celebratory.

But if LUNC trades well in the future, it will be a cause of celebration not only for this particular cryptocurrency, but for a lot of other cryptos.

LUNC’s price, volume, and everything in between

Since its launch in 2023, LUNC’s price kept floating around $0.2 and $1.3 until April 2023. When the crypto market boomed in mid-2023, its price increased and touched $100 by the end of the year.

Starting from 2023, it kept oscillating between $50 and $100 and reached an all-time high (ATH) of $119.18 on 5 April 2023. The next month, its price began to fall and the Terra system collapsed in mid-May.

At press time, the coin was trading at $0.00008411 with a market cap of $170 million.

Bloomberg reported in May 2023 that the market lost approximately $45 billion within a week following the Terra collapse. Terraform Labs and its co-founder Do Kwon were fined $78.4 million in corporate and income tax by the Korean National Tax Service.

On 25 May 2023, Bloomberg reported that the network launched a new version of the cryptocurrency, LUNA. The older crypto is now called Luna Classic (LUNC) and the newer one is called Luna 2.0 (LUNA).

Though LUNC, the older cryptocurrency, has not been entirely replaced, a lot of users are moving to LUNA. It should be noted here that LUNC so far has not been performing well at all.

The market capitalization of LUNC similarly reflects the market sentiment regarding crypto. Throughout 2023-20, it didn’t even reach up to $500 million, but began increasing in 2023.

Now, towards the beginning of February, it crossed the $1 billion mark. And, by the end of 2023, it was above $36 billion.

LUNC’s journey kept moving upward the next year too and in April 2023, it crossed $41 billion. But post the crash of May 2023, it oscillated between $300 million and $1.5 billion.

South Korea is now seeking to revoke Kwon’s passport, following which he might be forced to return to South Korea. A request has been passed to the nation’s Foreign Ministry to scrap the travel document, reported Bloomberg. An arrest warrant was issued against him and other members.

Now that Kwon has been arrested, we will see how the court cases are held against him. 

LUNC’s 2025 predictions

Before you read further, you should understand that predictions of different cryptocurrency platforms and analysts widely vary as different analysts rely on different sets of metrics to arrive at their conclusions.

A good number of times, these predictions can go wildly wrong. Besides, nobody can foresee events such as the Chinese crypto ban or the Russia-Ukraine crisis. Let us now have a look at what different analysts have to say about the future of LUNC in 2025.

Telegaon predicts that the minimum and maximum prices of LUNC in 2025 will be $0.0089 and $0.028, respectively.

Other experts, after analyzing the previous performance of LUNC, predict that its average price in the said year will be $0.015.

DigitalCoinPrice predicts that the minimum and maximum prices of LUNC in 2025 are going to be $0.000268 and $0.000331. Its average price in 2025 will be $0.000321.

LUNC’s 2030 predictions

DigitalCoinPrice predicts that the minimum and maximum prices of LUNC in 2030 are going to be $0.000887 and $0.000953. Its average price in 2030 will be $0.000941.

On the other hand, Bitcoin Wisdom predicted that LUNC’s price will keep oscillating between $0.002603 and $0.002834 in 2030. Its average price in the said year will be $0.002719 as per the prediction.


Now, it’s worth addressing the elephant in the room too. Pre and post-crash projections and opinions on the project have changed significantly over the last few months. This means that there is a lot of uncertainty around. For instance, back in March, Professor Carol Alexander, a member of Finder’s panel of experts, claimed,

“… as its name implies, it could actually go to the moon (for a while).”

On the contrary, there are others who believe,

“There is a lot of uncertainty around LUNA right now –⁠ the project is really ambitious and the objective an admirable one but just what the effect on the LUNA token itself will be is unclear.”


So far, we have provided a succinct summary of LUNA Classic (LUNC). For those of you contemplating investing in cryptocurrency, we would like to reiterate that cryptocurrency predictions cannot be relied upon entirely. And, you should conduct your own research before making an investment in LUNC.

The only thing that can save the coin is token burning, which will raise prices by reducing market oversupply. It was already put to the test in September when Binance and other significant CEXs started burning LUNC tokens, sending the price of LUNC soaring by 60% in just a few hours.

The cryptocurrency market still remains very bearish and is likely to remain volatile for the next few months.

A recent Bloomberg report says that upcoming legislation would ban algorithmic stablecoins such as TerraUSD the collapse of which led to a global crypto crash. The said bill is currently being drafted in the U.S. House. The bill would make it illegal to develop or issue new “endogenously collateralized stablecoins.”

The New York Times interviewed Ethereum co-founder Vitalik Buterin last month who claimed that the Terra Luna team attempted market manipulation in order to boost the value of the native cryptocurrency. He also recalled that many “smart people” had stated that Terra was “fundamentally bad.”

In an interview with Laura Shin on the “Unchained” podcast on 28 October, Kwon claimed that he migrated from South Korea to Singapore before the demise of the Terra environment. He also refuted reports that he is eluding law authorities.

Kwon said,

“Whatever issues existed in Terra’s design, its weakness [in responding] to the cruelty of the markets, it’s my responsibility and my responsibility alone.”

On 5 November, Terra Rebels tweeted that the first round of its lottery game had finally ended, with the winner going away with over 24 million Terra Luna Classic (LUNC). More than 10.5 million LUNC were sent to the burn wallet. As we can see, such efforts are underway in one way or another.

Please visit our website to participate in the next drawing.

— Terra Rebels (@TerraRebels) November 4, 2023

According to a recent third-party audit by JS Held, a New York-based consultancy firm, Luna Foundation Guard (LFG), the entity behind the defunct Terra ecosystem, spent $2.8 billion in crypto trying to defend the peg of algorithmic stablecoin TerraUSD (UST) in May. The audit also claims that Terraform Labs (TFL), the Terra blockchain developer, spent $613 million defending the peg.

Luna Classic has announced that it will re-enable Inter Blockchain Communication (IBC), a protocol to allow the sharing of messages and trading assets with other blockchains. A member of the Terra Classic development team confirmed this on Twitter.

— reXx™ (@CosmoSreXx) December 5, 2023

In terms of fundamentals, what may help such a break occur is progress on implementing a proposal that was recently passed by Terra Luna Classic validators. In particular, the community has adopted a plan to re-peg LUNC’s sister stablecoin, USTC.

As the broader cryptocurrency market stabilizes ahead of a busy week of macro events, including a barrage of key US jobs data and a testimony from Fed Chair Jerome Powell before the US Congress, LUNC bulls will be hoping the cryptocurrency can continue to find support above this level.

Industry experts remain apprehensive if LUNC’s price will even reach $1 in a few years. As the latest news of Kwon’s arrests appears, the market fears that more details about the programme may sink its performance further down.   

Learn Mobile Price Prediction Through Four Classification Algorithms

This article was published as a part of the Data Science Blogathon.


Mobile phones come in all sorts of prices, features, specifications and all. Price estimation and prediction is an important part of consumer strategy. Deciding on the correct price of a product is very important for the market success of a product. A new product that has to be launched, must have the correct price so that consumers find it appropriate to buy the product.

 The Problem

The data contains information regarding mobile phone features, specifications etc and their price range. The various features and information can be used to predict the price range of a mobile phone.

The data features are as follows:

Battery Power in mAh

Has BlueTooth or not

Microprocessor clock speed

The phone has dual sim support or not

Front Camera Megapixels

Has 4G support or not

Internal Memory in GigaBytes

Mobile Depth in Cm

Weight of Mobile Phone

Number of cores in the processor

Primary Camera Megapixels

Pixel Resolution height

Pixel resolution width


Mobile screen height in cm

Mobile screen width in cm

Longest time after a single charge

3g or not

Has touch screen or not

Has wifi or not


We will proceed with reading the data, and then perform data analysis. The practice of examining data using analytical or statistical methods in order to identify meaningful information is known as data analysis. After data analysis, we will find out the data distribution and data types. We will train 4 classification algorithms to predict the output. We will also compare the outputs. Let us get started with the project implementation.

First, we import the libraries.

import numpy as np # linear algebra import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv) import seaborn as sns import matplotlib.pylab as plt %matplotlib inline

Now, we read the data and view an overview of the data.

train_data=pd.read_csv('/kaggle/input/mobile-price-classification/train.csv') train_data.head()


Now, we will use the info function to see the type of data in the dataset.


RangeIndex: 2000 entries, 0 to 1999 Data columns (total 21 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 battery_power 2000 non-null int64 1 blue 2000 non-null int64 2 clock_speed 2000 non-null float64 3 dual_sim 2000 non-null int64 4 fc 2000 non-null int64 5 four_g 2000 non-null int64 6 int_memory 2000 non-null int64 7 m_dep 2000 non-null float64 8 mobile_wt 2000 non-null int64 9 n_cores 2000 non-null int64 10 pc 2000 non-null int64 11 px_height 2000 non-null int64 12 px_width 2000 non-null int64 13 ram 2000 non-null int64 14 sc_h 2000 non-null int64 15 sc_w 2000 non-null int64 16 talk_time 2000 non-null int64 17 three_g 2000 non-null int64 18 touch_screen 2000 non-null int64 19 wifi 2000 non-null int64 20 price_range 2000 non-null int64 dtypes: float64(2), int64(19) memory usage: 328.2 KB

Now, we remove the data points with missing data.

train_data_f = train_data[train_data['sc_w'] != 0] train_data_f.shape


(1820, 21)

Let us visualize the number of elements in each class of mobile phones.

#classes sns.set() price_plot=train_data_f['price_range'].value_counts().plot(kind='bar') plt.xlabel('price_range') plt.ylabel('Count')


So, there are mobile phones in 4 price ranges. The number of elements is almost similar.

Data Distribution

Let us analyse some data features and see their distribution.

First, we see how the battery mAh is spread.

sns.set(rc={'figure.figsize':(5,5)}) ax=sns.displot(data=train_data_f["battery_power"])


Now, we see the count of how many devices have Bluetooth and how many don’t.

sns.set(rc={'figure.figsize':(5,5)}) ax=sns.displot(data=train_data_f["blue"])


So, we can see that half the devices have Bluetooth, and half don’t.

Next, we analyse the mobile depth ( in cm).

sns.set(rc={'figure.figsize':(5,5)}) ax=sns.displot(data=train_data_f["m_dep"])


A few mobiles are very thin and a few ones are almost a cm thick.

In a similar way, the data distribution can be analysed for all the data features. Implementing that will be very simple.

Let us see if there are any missing values or missing data.

X=train_data_f.drop(['price_range'], axis=1) y=train_data_f['price_range'] #missing values X.isna().any()


battery_power False blue False clock_speed False dual_sim False fc False four_g False int_memory False m_dep False mobile_wt False n_cores False pc False px_height False px_width False ram False sc_h False sc_w False talk_time False three_g False touch_screen False wifi False dtype: bool

Let us split the data.

#train test split of data from sklearn.model_selection import train_test_split X_train, X_valid, y_train, y_valid= train_test_split(X, y, test_size=0.2, random_state=7)

Now, we define a function for creating a confusion matrix.

#confusion matrix from sklearn.metrics import classification_report, confusion_matrix, accuracy_score def my_confusion_matrix(y_test, y_pred, plt_title): cm=confusion_matrix(y_test, y_pred) print(classification_report(y_test, y_pred)) sns.heatmap(cm, annot=True, fmt='g', cbar=False, cmap='BuPu') plt.xlabel('Predicted Values') plt.ylabel('Actual Values') plt.title(plt_title) return cm

Now, as the function is defined, we can proceed with implementing the classification algorithms.

Random Forest Classifier

A random forest is a supervised machine learning method built from decision tree techniques. This algorithm is used to anticipate behaviour and results in a variety of sectors, including banking and e-commerce.

A random forest is a machine learning approach for solving regression and classification issues. It makes use of ensemble learning, which is a technique that combines multiple classifiers to solve complicated problems.

A random forest method is made up of a large number of decision trees. The random forest algorithm’s ‘forest’ is trained via bagging or bootstrap aggregation. Bagging is a meta-algorithm ensemble that increases the accuracy of machine learning algorithms.

The outcome is determined by the (random forest) algorithm based on the predictions of the decision trees. It forecasts by averaging or averaging the output of several trees. The precision of the outcome improves as the number of trees grows.

A random forest system is built on a variety of decision trees. Every decision tree is made up of nodes that represent decisions, leaf nodes, and a root node. The leaf node of each tree represents the decision tree’s final result. The final product is chosen using a majority-voting procedure. In this situation, the output picked by the majority of the decision trees becomes the random forest system’s ultimate output. Let us now implement the random forest algorithm.

First, we build the model.

#building the model from sklearn.ensemble import RandomForestClassifier rfc=RandomForestClassifier(bootstrap= True, max_depth= 7, max_features= 15, min_samples_leaf= 3, min_samples_split= 10, n_estimators= 200, random_state=7)

Now, we do the training and prediction., y_train) y_pred_rfc=rfc.predict(X_valid)

Let us apply the function for the accuracy metrics.

print('Random Forest Classifier Accuracy Score: ',accuracy_score(y_valid,y_pred_rfc)) cm_rfc=my_confusion_matrix(y_valid, y_pred_rfc, 'Random Forest Confusion Matrix')


Random Forest Classifier Accuracy Score: 0.9093406593406593 precision recall f1-score support 0 0.98 0.97 0.97 95 1 0.90 0.92 0.91 92 2 0.82 0.86 0.84 86 3 0.93 0.88 0.90 91 accuracy 0.91 364 macro avg 0.91 0.91 0.91 364 weighted avg 0.91 0.91 0.91 364

So, we can see that the random forest algorithm has good accuracy in prediction.

Naive Bayes

Conditional probability is the foundation of Bayes’ theorem. The conditional probability aids us in assessing the likelihood of something occurring if something else has previously occurred.

Image:  Illustration of how a Gaussian Naive Bayes (GNB) classifier works

Gaussian Naive Bayes is a Naive Bayes variation that allows continuous data and follows the Gaussian normal distribution. The Bayes theorem is the foundation of a family of supervised machine learning classification algorithms known as naive Bayes. It is a basic categorization approach with a lot of power. When the dimensionality of the inputs is high, they are useful. The Naive Bayes Classifier may also be used to solve complex classification issues.

Let us implement the Gaussian NB classifier.

from sklearn.naive_bayes import GaussianNB gnb = GaussianNB()

Now, we perform the training and prediction., y_train) y_pred_gnb=gnb.predict(X_valid)

Now, we can check the accuracy.

print('Gaussian NB Classifier Accuracy Score: ',accuracy_score(y_valid,y_pred_gnb)) cm_rfc=my_confusion_matrix(y_valid, y_pred_gnb, 'Gaussian NB Confusion Matrix')


Gaussian NB Classifier Accuracy Score: 0.8461538461538461 precision recall f1-score support 0 0.93 0.92 0.92 95 1 0.79 0.73 0.76 92 2 0.74 0.80 0.77 86 3 0.92 0.93 0.93 91 accuracy 0.85 364 macro avg 0.84 0.85 0.84 364 weighted avg 0.85 0.85 0.85 364

We can see that the model is performing well.

KNN Classifier

The K Nearest Neighbor method is a type of supervised learning technique that is used for classification and regression. It’s a flexible approach that may also be used to fill in missing values and resample datasets. K Nearest Neighbor examines K Nearest Neighbors (Data points) to forecast the class or continuous value for a new Datapoint, as the name indicates.

The K-NN method saves all available data and classifies a new data point based on its similarity to the existing data. This implies that fresh data may be quickly sorted into a well-defined category using the K-NN method. The K-NN algorithm is a non-parametric algorithm, which means it makes no assumptions about the underlying data. It’s also known as a lazy learner algorithm since it doesn’t learn from the training set right away; instead, it saves the dataset and performs an action on it when it comes time to classify it.

Let us perform the implementation of the classifier.

from sklearn.neighbors import KNeighborsClassifier knn = KNeighborsClassifier(n_neighbors=3,leaf_size=25)

Now, we train the data and make our predictions., y_train) y_pred_knn=knn.predict(X_valid)

Now, we check the accuracy.

print('KNN Classifier Accuracy Score: ',accuracy_score(y_valid,y_pred_knn)) cm_rfc=my_confusion_matrix(y_valid, y_pred_knn, 'KNN Confusion Matrix')


KNN Classifier Accuracy Score: 0.9340659340659341 precision recall f1-score support 0 0.99 0.98 0.98 95 1 0.93 0.97 0.95 92 2 0.87 0.88 0.88 86 3 0.94 0.90 0.92 91 accuracy 0.93 364 macro avg 0.93 0.93 0.93 364 weighted avg 0.93 0.93 0.93 364

The KNN classifier is quite adept at its task.

SVM Classifier

Support Vector Machine, or SVM, is a prominent Supervised Learning technique that is used for both classification and regression issues. However, it is mostly utilised in Machine Learning for Classification purposes.

The SVM algorithm’s purpose is to find the optimum line or decision boundary for categorising n-dimensional space so that we may simply place fresh data points in the proper category in the future. A hyperplane is the optimal choice boundary.

Check this article for more information on SVM.

Let us do the implementation of SVM.

from sklearn import svm svm_clf = svm.SVC(decision_function_shape='ovo'), y_train) y_pred_svm=svm_clf.predict(X_valid)

Now, we check the accuracy.

print('SVM Classifier Accuracy Score: ',accuracy_score(y_valid,y_pred_svm)) cm_rfc=my_confusion_matrix(y_valid, y_pred_svm, 'SVM Confusion Matrix')


SVM Classifier Accuracy Score: 0.9587912087912088 precision recall f1-score support 0 0.98 0.98 0.98 95 1 0.93 0.97 0.95 92 2 0.94 0.93 0.94 86 3 0.99 0.96 0.97 91 accuracy 0.96 364 macro avg 0.96 0.96 0.96 364 weighted avg 0.96 0.96 0.96 364

We can see that the SVM classifier is giving the best accuracy.


The media shown in this article is not owned by Analytics Vidhya and are used at the Author’s discretion. 


Update the detailed information about Waves Price Prediction – Why These Cryptos Are A Better Investment In 2023 on the website. We hope the article's content will meet your needs, and we will regularly update the information to provide you with the fastest and most accurate information. Have a great day!