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What Is NFT Sniping?

9 min

Recently, the NFT sphere has become a real magnet, attracting an incredible number of investors interested in making money on digital objects. In the background of the excitement around the new opportunities that NFT projects provide, many different practices allow you to monitor the NFT market and promptly buy the necessary lots. One such practice is NFT sniping.

This article will help you understand what NFT snipping is and where it came from. You will also learn about what techniques and tools are used for this practice and what impact it has on the NFT space.

  1. NFT sniping is a new practice that allows you to analyse NFT markets in order to quickly buy undervalued NFT projects at a favourable price.
  2. NFT sniping uses different methods to detect potentially lucrative NFT projects, the most effective of which are sniping bots.

NFT sniping is a recently widespread practice based on analysing the market and searching for new or undervalued NFTs of projects whose actual value differs from the real value for a number of reasons in order to buy them quickly before other interested parties do so. In other words, NFT sniping is a tactic of instant purchase of NFT projects on the market at the most favourable price for further trading or resale at a higher price, while the real value is unknown to the general public. The advantage of this approach is that NFTs in high demand or undervalued are bought at the most favourable price at the time of project launch, which does not allow other bidders to raise the rate to repurchase it and creates the potential for a significant profit.

The expression NFT sniping describes a military term implying shooting at the enemy from cover, with high accuracy and at long range. This practice was the result of the development of the NFT niche, which by its nature is a dynamically changing environment, where in some cases, the sale of NFT projects is a kind of auction, giving the opportunity to purchase the necessary token at the most favourable price (floor price) using highly accurate and fast tools of analysis and monitoring of different marketplaces and sites involved in their implementation. In this case, NFT sniping emphasises the speed and efficiency of operations aimed at acquiring NFT and its subsequent resale.

Today, with some programming knowledge, you can create your own sniping bots to analyse NFT markets and projects.

Despite the fact that NFT sniping is a relatively new practice of generating increased profits from the sale of niche projects, it has a rampant popularity that has come due to the practicality of the method based on the use of highly effective tools for finding undervalued NFTs. Among them, the following stand out:

NFT snipers have been shown to join a variety of online communities and groups where they can find like-minded individuals and exchange information, tips and ideas related to new and valuable NFT project listings. For this purpose, any popular information resources, social networks like Facebook or messengers, including NFT sites and various forums are used.

As it enables them to share expertise and keep up with market trends and possibilities, information sharing among such groups can be a useful tool for NFT snipers. Collaboration and information exchange also assist snipers in enhancing their tactics, finding new analytical instruments, and navigating the challenges of the NFT market. To avoid potential fraud or inaccurate information, caution must be exercised while disseminating information, and the credibility of sources must be confirmed.

Another group of tools that give rarity snipers an advantage in the NFT market when buying projects are browser permissions. They are programs and services that work on the model of a search engine that helps to track different marketplaces and platforms trading NFTs, analyse their lists and send notifications in case of new or undervalued NFTs in the public domain. Browser extensions can also provide useful analytics and information about the NFT market, such as pricing trends, historical data, and rarity analysis.

Thanks to the functionality of these extensions, it becomes possible not only to conduct a comprehensive assessment of each NFT project according to a variety of criteria, the most important of which is rarity, but to collect analytical and statistical data, including information about the origin of the project, its category, date of creation, as well as the blockchain network in which it was created.

One of the most popular tools playing a significant role in NFT sniping is sniper bots. NFT sniper bot is an automated system based on mathematical calculations that perform complex analysis and monitoring of the NFT market in real time in order to find undervalued and potentially profitable projects according to a number of criteria, such as value, NFT rarity, or price. The sniping bot program allows you to automatically buy NFT projects that meet the necessary purchase requirements, giving a great advantage in speed and efficiency over manual methods of carrying out the same process. Sniping bots are expected to evolve with the help of AI technology.

As the world of NFTs continues to expand, NFT sniping has become a divisive practice, receiving both support and criticism. In spite of the fact that many individuals perceive this to be a smart trading strategy, concerns have been raised regarding ethical considerations and the potential negative impact on the NFT market. A decision regarding how NFT sniping will be handled in the future will be based on the trajectory of the NFT market. Any regulatory measures or market adaptations to level the playing field will depend on the future trajectory of the NFT market.

To date, the impact of sniping practices on the NFT industry is the subject of active discussion in this area. Some experts argue that this hair dryer will contribute to market instability, which in turn will provoke the process of artificially inflating the cost of NFT projects, creating barriers for ordinary market participants who do not have much capital. On the other hand, many are of the opinion that this practice is based on a mechanism that determines an integral component of competition in markets where their participants are constantly looking for opportunities to profit.

Since this practice has been developed and has support among many NFT market participants due to its potential profitability, it is highly likely that in the foreseeable future, there will be systems and solutions preventing the possibility of getting access to potentially profitable projects in advance by analysing their data with the help of various programs. This position is conditioned by the need to ensure transparency and trust, as well as equal competition, giving every investor the opportunity to have a chance to buy an NFT project at the best price at the very last moment.

The practice of NFT sniping is based on the use of automated bots that help to quickly and efficiently analyse the markets of NFT projects and make profitable purchases. The NFT community conducts experiments studying the possibilities of this tactic for its operability, which in practice will allow getting high profitability results within the framework of buying undervalued NFTs.

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Bitcoin Sniping Coming Soon? Ordinals Sniping

Ordinals, this year’s incarnation of NFTs on Bitcoin, have enjoyed a slight resurgence in recent weeks. A bubbly launch peaked on May 7 of this year and quickly subsided, but now Bitcoin’s rally in November has renewed interest in Ordinals.

Sniffing an opportunity for profit and prepared with months of practice since May, quant traders lurked. Their opportunity arrived this week at Magic Eden on Bitcoin, an NFT marketplace. They sniped millions.

The most highly anticipated Ordinals project of the season, Ordibots, had announced its minting ceremony on the most prestigious Ordinals exchange, Magic Eden. A timeline for its launch was widely publicized. Requirements for whitelisting were extensive. Ordibots’ community discussions were vibrant. The minting ceremony had a tantalizing countdown, with buyers setting alarms to attend – ready to inscribe their NFT on-time. Collectors anticipated the mark-to-market capitalization of the collection to reach untold millions of dollars. 

Ordibots, however, became the first major Ordinals collection to fall victim to a sophisticated front-running attack. Its founders, and the NFT marketplace Magic Eden, have apologized.

Here’s how it happened

Sniping Ordinals for profit

Whitelisted fans of Ordibots submitted their minting transactions to inscribe their Ordibots NFTs onto Bitcoin satoshis, the smallest denomination of one coin.

After they broadcast their Bitcoin transactions, however, they wait in Bitcoin’s mempools for around 10 minutes. Like any other Bitcoin transaction, they must wait for miners to select their transactions for inclusion in a valid block — and then mine that block, which usually takes 10 minutes.

All of that delay is plenty of time for a sophisticated quant trader to snipe their mint with a front-running attack.

Ordinals sniping is a front-running attack

Ordinals sniping involves scanning Bitcoin’s mempools for a valuable Ordinal transaction, like an Ordibots minting inscription, copying the transaction, changing the wallet address, and outbidding the transaction fee slightly. By default, mining pool operators will usually select a transaction with a higher transaction fee — rewarding the quant sniper, and leaving the whitelisted Ordibots fanboy with nothing but an unconfirmed transaction. 

Like all front-running attacks, Ordinals sniping steals valuable Ordinals NFTs for only the cost of surveillance and a slightly higher transaction fee.

The sniper can then quickly resell their stolen merchandise on an NFT marketplace for tidy profit. Although flipping Ordinals might be difficult for illiquid collections, snipers thought one of the biggest collections of the year was worth the trade.

Ordibots organizers apologize

Magic Eden on Bitcoin (the Bitcoin Ordinals division of the NFT marketplace that started on Solana) had even created a custom portal for the Ordibots minting ceremony. Unfortunately, neither Magic Eden’s portal nor Ordibots’ official website were able to protect users from the mempool snipers.

After the front-running attacks, Ordibots tweeted that it was trying to collect information on addresses affected by the attack. It apologized and promised to airdrop custom Ordibots to those addresses. Then, Ordibots said it would burn the Ordibots “parent” used to generate those NFTs in order to ensure immutability.

Obviously, many users complained about the experience. Some were confused for a while, not quickly aware of the front-running. Others figured out what happened pretty quickly.

One grateful fan complimented Ordibots’ quick response to the situation and said it would be cool to see a derivative collection of Ordibots images containing sniper rifles.

Magic Eden on Bitcoin also apologized to buyers who attempted to use its Launchpad to buy an Ordibot but failed due to the front-running. It says it is deploying a solution to mitigate future front-running attempts.

Front-running “sniping” attacks

Mempool sniping is a form of front-running. Front-running traders normally profit from privileged information, then outpacing their victims. For example, if they know that somebody placed a large trade order, they try to sneak their own order in before the victim’s order is executed. Front-running bots can execute the same strategies by detecting large transactions that might indicate a front-running profit opportunity.

If front-running or sniping sounds familiar, it is. Indeed, it is a form of MEV (maximum extractable value). It is also a common quant trading tactic in traditional finance.

Although developers have attempted to mitigate MEV, even Ethereum founder Vitalik Buterin admits that MEV will never end. All Turing-complete blockchains with on-chain assets suffer from MEV. 

In response to the Ordibots sniping attack, The Ordinals Show host Leonidus warned that the Ordinals community will have to “get much more sophisticated very quickly.” He added that the Ordibots situation could just be “the tip of the iceberg.”

Later, Leonidus clarified that snipers cannot steal existing Ordinals inscriptions. Front-running attacks only affect trades (not assets), such as mints or PSBT swaps.

In short, the quant trading tactics of traditional finance are now affecting Bitcoin. Ordinals sniping has occurred with on-chain Bitcoin assets, Ordinals. Ordibots became the first known collection to be targeted by mempool “sniping,” a sophisticated attack from the realm of quant trading.

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Uniswap V2: An Introduction to Automated Market Makers {Why frontrunning works}

Uniswap is a DeFi app that enables traders to swap one token for another in a trustless manner. It was one of the early automated market makers for trading (though not the first).

Automated market makers are an alternative to an order book, which the reader is assumed to already be familiar with.

How AMMs work

An automated market maker holds two tokens (token X and token Y) in the pool (a smart contract). It allows anyone to withdraw token X from the pool, but they must deposit an amount of token Y such that the ”total” of assets in the pool does not decrease, where we consider the “total” to be the product of the amounts of the two assets.

𝒳𝒴 ≤ 𝒳′𝒴′

Here 𝒳′ and 𝒴′ are the token balances of the pool after the trade and 𝒳 and 𝒴 token balances of the pool before the trade.

This guarantees that the pool’s asset holdings can only stay the same or increase.

Most pools enforce some kind of a fee. Not only should the product of the balances increase, but it should increase by at least a certain amount to account for a fee.

Assets are provided to the pool by liquidity providers, who receive so-called LP tokens to represent their share of the pool. Liquidity provider balances are tracked in a manner similar to how ERC 4626 works. The difference between an AMM and ERC 4626 is that ERC 4626 only supports one asset but an AMM has two tokens. Just like a vault, the liquidity providers’ share of the pool stays the same, but the product 𝒳𝒴 gets larger, so their slice is larger.

Advantages of AMMs

AMMs do not have a bid-ask spread

In an AMM, price discovery is automatic. It’s determined by the ratio of assets in the pool. Specifically, if we have token 𝒳 and token 𝒴, price is determined as follows:

And vice-versa for 𝒴. Specifically, the more of asset 𝒳 that is put into the pool, the more “abundant” it is, and the price of 𝒳 goes down.

There is no need to wait for a suitable “bid” or “ask” order to show up. It always exists.

If there is a mismatch between the price in an AMM and another exchange, then a trader will arbitrage the difference, bringing the prices back into balance.

We should emphasize that this is the “spot” or “marginal” price. If you buy any amount of 𝒳, the actual price you pay will be worse than the result of this calculation.

AMMs doubled as an oracle

Since the price of the assets is automatically determined, other smart contracts can use an AMM as a price oracle. However, AMM prices can be manipulated with flash loans, so safeguards need to be put in place when using AMMs in this manner. Nonetheless, it is valuable that price data is provided for free.

AMMs are highly gas efficient compared to order books

Order books requires a significant amount of bookkeeping (no pun intended). An AMM only needs to hold two tokens and transfer them according to simple rules. This makes them more efficient to implement.

Disadvantages of AMMs

There are two major drawbacks to automated market makers: 1) the price always moves and 2) impermanent loss for liquidity providers.

Even small orders move the price in AMMs

If you place an order to buy 100 shares of Apple, your order will not cause the price to move because there are thousands of shares available for sale at the price you specify. This is not the case with an automated market maker. Every trade, no matter how small, moves the price.

This has two implications. A buy or sell order will generally encounter more slippage than in an order book model, and the mechanism of swapping invites sandwich attacks.

Sandwich attacks are largely unavoidable in AMMs

Since every order is going to move the price, MEV (Maximal Extractable Value) traders will wait for a sufficiently large order to come in, then place a buy order right behind it and a sell order right after it. The leading buy order will drive up the price for the original trader, which gives them worse execution. It’s called a sandwich attack, since the victim’s trade is “sandwiched” between the attackers.

1) Attacker’s first buy (front run): drives up price for victim

2) Victim’s buy: drive up price even further

3) Attacker’s sell: sell the first buy at a profit

Using a bot like this: https://defix.shop/portfolio/frontrunning-sandwich-bot/

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Yield Farming Deep Dive

1) What is yield farming? 

Yield farming, also called liquidity mining or yield harvesting, is a decentralized financial revolution within the DeFi ecosystem.

Yield farming is a unique and innovative way of making more money with your crypto holdings. 

It involves locking up (as in staking) your crypto holdings on DeFi liquidity protocols through the wonders of computer programs known as smart contracts, and in return you are rewarded with more crypto.

Lending, borrowing or supplying a DeFi liquidity protocol with your crypto funds to provide liquidity for the pool which enables the protocol to carry out its lending, borrowing and/or token exchange (swapping) services, qualify you to get returns in form of fees or interests from the underlying DeFi platform.

Yield farming enables yield farmers (as the the participants of yield farming are commonly called) to earn fixed or variable interest by investing in a DeFi market protocol.

The concept of yield farming in crypto as the amount of interest (fixed or variable) that’s earned by investing or locking up crypto assets on a DeFi protocol, is one that seems to bode well with the idea of farming in agriculture, in which the measure of yield refers to the total amount of crop that’s grown.

Yield farming gained traction in the summer of 2020, when Compound Finance, the popular DeFi lending and borrowing protocol, launched its own governance token, COMP, as an incentive to attract more users (yield farmers) to its platform, rewarding them with the token for using its services.

But while Compound Finance is credited for popularizing yield farming, as it were, Synthetix, the DeFi platform considered to be the pioneer of liquidity incentives is recognized as the inventor of the concept.

For Synthetix, the idea of yield farming was for liquidity providers on its platform to get a regular annual percentage yield (APY).

Just like the Automated Market Maker (AMM) model, yield farming involves liquidity providers and liquidity pools (smart contracts containing the funds of liquidity providers) on DeFi liquidity protocols (DeFi platforms on which yield farming is done).

Stablecoins such as DAI, USDT, USDC, etc, are commonly used in yield farming because with stablecoins, yield farmers can easily track their gains and losses in the scheme. 

This is not a general requirement though, as other cryptocurrencies like Ether (ETH) and any other type of ERC-20 token can be used. Profits or rewards are also paid typically in any type of ERC-20 token.

2) Why do people do it?

Apparently, high gains remain the main reason people get into yield farming.

Coingecko’s research revealed that most yield farmers are not interested in a project. Rather, they are primarily interested in generating profits from their assets through the project. 

People lock up their crypto assets in DeFi money market protocols, especially lending protocols, because they are aware of the fact that yield farming can offer them more lucrative interests than a traditional bank when loaning out their funds.

While traditional banks mostly offer between 0.01%-1.00% APY, yield farmers can expect potential returns of up to100% APY. 

This is possible considering the fact that some top farmers have already earned as much as 100% APR on popular stablecoins, using a whole host of different strategies.

It is claimed that an insane amount of money has been made over the course of 2020 through yield farming.

In July 2020, Decrypt reported that the DeFi industry was worth whooping $3 billion — surging from $2 billion in just two weeks — then; no thanks to the total value locked (TVL) in the ecosystem.

The sporadic growth was not unconnected to the launch of Compound’s COMP token in June.

But interestingly, by September 2020, CoinDesk claimed that DeFi had seen more than $11 billion in TVL.

Moreover, according to CoinMarketCap data, the total locked value of liquidity pools in yield farming projects has almost surpassed $5 billion, as the entire DeFi market stands at $10.94 billion in total value locked. This means that nearly half of the volume locked in DeFi is involved in yield farming.

This goes to show the enormous potentials of yield farming and the huge faith yield farmers have in it to deliver the goods for them.

Another reason people do yield farming is to accumulate a token (they believe has great potential for price appreciation, but) that’s not on the open market, or has low volume, by providing liquidity to a pool that rewards it.

By adopting a new DeFi project early, you could earn token rewards whose value might skyrocket. You could then either sell the token rewards at this point and make a nice profit or choose to compound your gains by reinvesting the profit made from the sale.

Because interest rates on borrowed crypto funds on some DeFi money markets are very low, even sometimes as low as 1% APY, compared to the traditional bank rates, many crypto borrowers are encouraged to use such platforms which are also core to yield farming, to afford themselves the opportunity to enjoy the low interest rates offered on the loan borrowed.

In this sense people use yield farming to get low interest loans because it’s a scheme that is known to make the world of securing loans easier for everyone.

Finally, some projects do yield farming to help them attract initial liquidity needed to hit the ground running.

3) How do you yield-farm on a high level?

– how are liquidity mining and ‘pools’ involved?

Since doing yield farming on a high level connotes maximizing profits or making huge gains through the scheme, it’s advisable you have enough funds to use because those who are really making huge profits often have a lot of capital behind them.

You typically need to have a large capital for you to make any significant profit in yield farming. Even thousands of dollars can be at risk of being lost (due to high volatility of crypto and DeFi tokens, in particular), talk less of an investment of just $100 or $1000 which could result in a net loss.

Also worthy of note is the fact that yield farming is a highly competitive and fast-paced money game, with some level of complexity in strategies and intricacies involved.

You must also be aware that strategies used in yield farming change quite often because, as a strategy becomes well known, it loses its effectiveness in delivering huge gains.

That’s why yield farmers often look out for and/or create new and more effective strategies to maximize returns.

Therefore, you must have the necessary technical know-how (of liquidity protocols and the Ethereum blockchain) and the financial skin to be able to stake a substantial claim to insanely massive returns that top yield farmers make.

That said, here are the basics of how to start your journey towards yield farming on a high level.

As mentioned earlier, yield farming works closely to the automated market maker (AMM) model which involves liquidity providers (LPs) and liquidity pools. 

Liquidity pools are computer programs known as smart contracts which contain the crypto funds deposited into liquidity protocols.

These liquidity pools enable the DeFi protocols or platforms to carry out their lending, borrowing and token swapping/exchange services. So basically, liquidity pools power liquidity protocols’ financial services.

Now, as a liquidity provider, you deposit your crypto funds (typically stablecoins, but any other type of ERC-20 or ETH can also be used) into a liquidity pool of a liquidity protocol of your choice.

The usage of this protocol by its users incurs fees or interest (if it’s a lending platform). The fees or interests generated by the protocol are then paid out to every liquidity provider like you who added funds to the protocol’s pools (to help it carry out its financial services). 

Each liquidity provider is given a share of the fees or interest according to the amount of funds or lending capital he contributed to the liquidity pool.

This means the profit you make  on the platform is determined by the amount you put into the platform’s liquidity pool.

Hence, it is highly recommended to do yield farming with a large capital so you can earn good returns.

Then, to multiply your profit, you can look for other pools on the same protocol that offer better returns than the previous one and reinvest the profit there. 

Or you might want to check out another protocol that promises higher yields and reinvest the profit there. 

In essence, you can create some complex investment strategies by reinvesting reward tokens into other liquidity pools, which in turn provide multiple reward tokens.

Now, a great way to generate lucrative returns in yield farming today, besides your normal yields, is by benefiting from a protocol’s liquidity mining. 

What is liquidity mining? Liquidity mining is the process of distributing a token to the users of a liquidity protocol. 

DeFi protocols use liquidity mining to incentivize users for using their platforms.

For example, protocols can distribute their native tokens to their users (i.e liquidity providers, lenders, borrowers and traders) to incentivize them to use its services.

Liquidity mining is also a strategy by protocols to attract more users who will bring more liquidity to the platforms.

Liquidity mining is an added incentive for liquidity providers or yield farmers to gain additional rewards, besides earning normal returns on their staked assets.

4) What are some projects that are involved?

Below are some of the DeFi platforms that are very core to yield farming strategies and which are also the most popular among yield farmers.

  1. Compound Finance

Compound Finance is an algorithmic DeFi lending and borrowing protocol that allows users to lend and borrow crypto assets.

On the platform, anyone with an Ethereum-focused wallet can add crypto assets to its liquidity pool and earn rewards which start to compound instantly and whose rates are algorithmically adjusted based on demand and supply.

Compound Finance is the decentralized application (dapp) credited for boosting the popularity of yield farming.

  2. Synthetix

Synthetix is a synthetic asset (or derivatives liquidity) protocol that allows anyone to stake or lock up Synthetix Network Token (SNX), its native token, or ETH, as collateral and mint synthetic assets against it.

The DeFi money market, recognized for originating yield farming or the original incentives scheme, first introduced an sETH-ETH pool that offers an extra incentive of SNX rewards to its  liquidity providers (LPs).

  3. Aave

Just like Compound Finance, Aave is a decentralized protocol for lending and borrowing crypto assets whose interest rates are adjusted algorithmically, based on current market conditions (such as supply and demand).

Crypto lenders get “aTokens” (tokens representing the deposited funds in a liquidity pool) in return for their funds. These tokens immediately start earning and compounding interest upon depositing (just like on the Compound Finance). 

As a popular DeFi lending and borrowing protocol, Aave is heavily used by yield farmers.

  4. MakerDAO

Maker is a decentralized credit platform that supports the creation of DAI, a stablecoin that mirrors or reflects the value of USD.

Anyone can open a Maker Vault where they lock collateral assets (against which they are able to obtain crypto loans) such as ETH, BAT, USDC, or WBTC. 

The users can generate the DAI stablecoin as debt against their locked collateral assets on the crypto credit platform. 

  5. Uniswap

Uniswap is a decentralized exchange (DEX) protocol that allows for trustless token swaps.

On Uniswap, liquidity providers deposit an equivalent value (e.g.50/50) of two tokens (e.g. UNI and SNX) to create a market. 

Traders can then trade against that liquidity pool (e.g. UNI/SNX). In return for supplying liquidity, liquidity providers earn fees from trades that happen in their pool.

Uniswap, which had $2.06 billion worth of crypto assets locked in, in September, has been one of the most popular platforms for trustless token swaps due to its frictionless nature. 

  6. Curve Finance

Curve Finance is a decentralized exchange (DEX) protocol specifically designed for efficient stablecoin swaps.

Unlike other similar protocols like Uniswap, Curve Finance allows users to make high-value stablecoin swaps with relatively low slippage (i.e the difference between the price an order is expected to fill and the price at which it eventually fills).

Being a DeFi protocol with high- value swaps, Curve Finance is an important part of the yield farming ecosystem which has an abundance of stablecoins.

  7. Balancer

Balancer is a liquidity protocol that functions just like Uniswap and Curve. 

However, its main difference from these two is that it allows for custom token allocations in a liquidity pool. 

This custom token allocation model allows Balancer’s liquidity providers to create custom Balancer pools instead of the 50/50 allocation model known with and required by Uniswap. 

Balancer therefore is a key  innovation for yield farming strategies as a result of the flexibility it brings to liquidity pool creation.

  8. Yearn.finance

Yearn.finance is a decentralized aggregator service for DeFi lending protocols such as Aave, Compound, and others.

The service aims to optimize token lending by algorithmically finding the most profitable lending services of DeFi investors. 

On Yearn.finance, funds are converted to yTokens after being deposited and they periodically rebalance to maximize profit.

Yearn.finance is very handy for yield farmers who want a protocol that automatically would choose the best strategies for them to maximize returns.

5) What are some usual profits/gains that ppl can get from this?

For providing liquidity to a liquidity pool, liquidity providers or yield farmers earn rewards such as fees and interests and native/governance token rewards.

These fees are generated by the liquidity protocol from its users who pay a certain amount for using the protocol.

Borrowers are charged some interest rates which may be fixed or not, depending on the terms of the protocol and the price of the tokens involved.

Lending protocols charge different interest rates from their borrowers. Some rates are fixed while others are not. 

Yield farmers who choose to lend their digital assets on a lending protocol are rewarded with interests incurred by the borrowers of the assets on the protocol.

A liquidity protocol that has a governance or native token — which gives its holders the rights to have a say on the governance and improvement of the protocol that distributes it — usually rewards its liquidity providers with the token for supplying to its pool(s) or for lending their crypto assets out on the platform if the platform is into lending services.

6) What are some creative strategies ppl have done?

The most common creative strategy employed by yield farmers who are searching for high gains is to move their funds from one DeFi protocol to another quite often. 

Here are a few creative strategies (used by other yield famers) that you can use to supercharge your  earnings.

  1. Leverage: This is a strategy of using your borrowed funds to increase your earning potentials by further depositing the funds as a collateral to borrow more funds. You can again put down these borrowed funds as a collateral to borrow more funds yet again, and on and on like that.

By repeating this process, you can leverage your initial capital a few times to earn massive profits on the initial capital.

  2. Another strategy is, for example, to deposit the DAI stablecoin into a lending protocol like Compound and then borrow the deposited DAI tokens (which were used as a collateral) and lend them out to others. The idea behind this is to earn a greater portion of the allocated reward tokens of the protocol that is being used.

  3. Another strategy is a Compound Finance-focused strategy that is used to maximize returns on borrowed funds on the lending and platform:

    a. Because you receive COMP tokens in the form of cashback for borrowing digital assets, you should borrow more funds so you can unlock more COMP tokens.

    b. If the cashback you receive on your borrowed funds is worth more than the cost of the fees you pay on the borrowed funds, then you can keep on borrowing funds on the platform so as to earn or farm more cashback rewards.

 4. Staking LP tokens

Some protocols incentivize their users for staking their liquidity provider tokens or LP tokens in a particular liquidity pool.

For example, you can stake your cDAI or sBTC into a Curve/BTC liquidity pool and for doing this the Curve protocol will reward you with its CRV tokens.

You can further stake these cBTC tokens on for instance Synthetix Mintr where you can be further rewarded with other tokens such as BAL, REN or SNX tokens.

With this strategy, you can earn more reward tokens with your initial reward tokens by staking the initial reward tokens on different liquidity pools or protocols that provide incentives for your participation.

 5. One other strategy is for both lenders and borrowers.

As a lender, you can deposit your coins into a lending pool that has the highest interest rate so as to earn higher returns. 

As a borrower, the strategy is to borrow a loan that incurs the highest interest rate so as to receive higher compensation.

Both lenders and borrowers that lend and borrow funds with the highest interest rate are rewarded more than those with low interest rates.

This strategy is associated with Compound finance.

NOTE: You should understand that strategies change and yield farmers are quick to abandon any strategy that is no longer bringing profits to them and then look for new or more effective or profitable strategies.

7) What are the risks for doing this?

   1. Theft: 

Software hackers are always looking for vulnerabilities in  crypto or DeFi projects to exploit, so as to have access to their funds and steal them. There are attack vectors specific to DeFi projects whose purpose is to drain certain liquidity pools.

On November 11, it was reported that hackers have stolen $100 million from DeFi projects so far in 2020.

  2. Loss of token value

Cryptocurrency volatility is still a big concern in the yarm farming ecosystem, as the digital assets you have managed to accumulate may suddenly lose their value and be worth nothing. Case in point: YAM tokens and HotdogSwap.

YAM token went from $60 million in market value, to zero in just 35 minutes, while HotdogSwap which surged to $5,000 at a point, but shed 99.9% of its value hours after launch, by dropping from $4,000 to $1 in 5 minutes.

  3. Smart contract bugs

Smart contracts are prone to bugs which if not audited or not well audited, could lead to permanent loss of funds due to the immutable nature of the blockchain upon which these smart contracts are developed. 

For example, the team behind the YAM token were attempting to fix a bug in their project’s code, but were not successful as this led to the outright evaporation of the value of the token.

Another example is BZx, a decentralized lending protocol, in one of a series of hacks on its platform which resulted in some funds being stolen, due to the exploitation of a bug in its project’s code.

  4. Regulation

 Regulators are yet to bear their minds on whether reward tokens “are” or “could become” securities. Unfavorable decision by the regulators may have a negative impact on the tokens’ use and value.

  5. Liquidation

In a situation where there is a violent market crash or a crypto collateral falling below the threshold required by the borrowing protocol, such collateral will be liquidated, causing the borrower to lose the funds he’s borrowing against.

  6. Composability

The nature of DeFi infrastructure makes its protocols to be composable, meaning they can integrate with each other seamlessly. They are building blocks which rely on each other heavily.

The implication of this for yield farmers and liquidity pools is that, if a protocol which is one of the building blocks (which are interdependent) does not function as intended, it could affect other protocols, not to mention their liquidity pools and funds in them.

  7. Price manipulation

Crypto whales may manipulate price movements by depositing funds into lending and borrowing protocols and borrowing back the funds they deposited themselves.

They do this to create artificial demand which can in turn inflate the price of the token so they can get high returns or capture the vast majority of rewards.

This strategy benefits yield-farmers with large crypto holdings and leave the small traders on the losing side. 

8) Are ppl still doing this or not as much?

Though the boom that brought yield farming into a lot of people’s consciousness in the summer of 2020 has somewhat died down, the concept is still much around, as some still see the possibility of earning some massive returns on their assets compared to what obtains in traditional finance.

For example, in September, BNB’s price shot up to over 33% to reach new yearly highs, after BurgerSwap, a SushiSwap clone and the latest DEX which is aiming to improve upon Uniswap with a unique incentive model and community governance, announced that it would have Binance coin (BNB) pairs, which would provide a fresh use case for yield farmers holding BNB tokens.

Subsequently, the BurgerSwap token was reported to have ranked high along with BUSD (Binance’s stablecoin) in terms of trade volumes on the Binance Smart Chain (BSC).

Judging from this BurgerSwap (which is the first of its kind to be developed on the EVM-compatible Binance Smart Chain)’s story therefore, it clearly shows that people’s interest in yield farming is not abating — at least for now — as some are still exploiting every money-making opportunity that yield farming has to offer them.

9) What’s the future of this area?

While some see yield farming see the scheme as a phenomenon that’s fast moving towards being a widely-adopted investment strategy among cryptocurrency holders, others believe that yield farming is a fad.

And while it may be difficult to accurately predict what the future holds for yield farming, the general consensus in the crypto community is that yield farming is a bubble that will burst, someday.

Reaching such a consensus isn’t that far-fetched, considering among other things, yield farming’s volatile nature, the similarity that it shares with the 2017 ICO bubble, and the number of “flash farming” projects that have been forgotten, having held sway for a short period of time.

But if its increasing adoption as a more lucrative alternative investment strategy, the deeper meaning it has given DeFi money markets as effective tools for making more accessible financial system available to anyone with an Internet connection, among other things, are anything to go by, then yield farming could still have something to offer in the nearest future.

The scheme could develop into something more sustainable, if the huge risk associated with it is brought to a bearest minimum, plus if the recently launched Ethereum 2.0 could deliver on its promised scalability, gas fee reduction, among other issues, since most of (if not all) of yield farming activities happen on the Ethereum blockchain, at least for now.

Unveiling the History of Ethereum Sniper Bots: A Revolutionary Trading Phenomenon

In the world of cryptocurrencies, innovation and technological advancements have given rise to various trading strategies and tools. One such groundbreaking development is the emergence of Ethereum sniper bots. These sophisticated software programs have captivated the attention of traders and investors alike by capitalizing on price differentials and executing lightning-fast transactions on the Ethereum network. In this article, we will delve into the intriguing history of Ethereum sniper bots, exploring their evolution, impact, and controversies.

Genesis of Sniper Bots

Ethereum sniper bots can be traced back to the inception of the Ethereum blockchain in 2015. Initially, Ethereum was envisioned as a decentralized platform for executing smart contracts and building decentralized applications (DApps). As the popularity of Ethereum grew, so did the demand for trading the native cryptocurrency, Ether (ETH), on various cryptocurrency exchanges.

The concept of sniper bots emerged as a response to the volatile and fast-paced nature of cryptocurrency markets, where price fluctuations can occur within seconds. Traders sought to leverage automated systems capable of detecting profitable trading opportunities and executing trades swiftly to maximize profits. Thus, Ethereum sniper bots were born.

Early Developments and Functionality

In the early days, Ethereum sniper bots were relatively simple and rudimentary. They relied on basic algorithms to monitor market conditions and execute trades based on predefined criteria. These bots operated on a first-come, first-served basis, attempting to exploit price differentials between multiple exchanges.

As demand for sniper bots increased, developers began refining their functionality. Advanced algorithms were introduced to analyze market data, including order books, price trends, and liquidity. These improved bots allowed traders to deploy complex strategies and make split-second decisions to capitalize on market inefficiencies.

Ethereum Sniper Bots in Action

The operation of Ethereum sniper bots revolves around the concept of front-running. Front-running occurs when a trader places orders ahead of others, taking advantage of the predictable price movements that often follow. Sniper bots employ this technique to identify and execute profitable trades milliseconds before others can react.

These bots continuously monitor multiple cryptocurrency exchanges, scanning for price differentials that meet certain criteria. Once a potential opportunity is identified, the bot rapidly submits a transaction, beating other traders to the punch. This lightning-fast execution provides a competitive advantage, enabling sniper bot users to profit from price discrepancies before the market adjusts.

Impact and Controversies

The introduction of Ethereum sniper bots has undoubtedly revolutionized the cryptocurrency trading landscape. Traders have been able to automate their strategies, maximize profit potential, and gain a competitive edge. These bots have facilitated more efficient markets by exploiting temporary imbalances and promoting price convergence across exchanges.

However, the rise of Ethereum sniper bots has also sparked controversies. Critics argue that these bots create an unfair advantage, allowing a select group of users to exploit the market at the expense of others. The practice of front-running has faced scrutiny due to its potential to manipulate prices and harm market integrity. Regulators and exchanges have grappled with the ethical implications and have implemented measures to curb abusive practices.

Conclusion

Ethereum sniper bots have played a significant role in shaping the cryptocurrency trading ecosystem. From their humble beginnings to their current sophisticated iterations, these bots have offered traders unparalleled speed and precision in executing trades. While controversies surrounding front-running persist, the evolution of Ethereum sniper bots showcases the power of technology in reshaping financial markets.

As the cryptocurrency industry continues to evolve, it is crucial to strike a balance between innovation and market fairness. The history of Ethereum sniper bots serves as a reminder of the constant interplay between technological advancements and the need for responsible, transparent trading practices.

Regardless of the history, this advantage given can be found in our ALL CHAIN SNIPER, a software all on its own in comparison to the markets general bot. This is built from the ground up with the highest tech and capability of any on the market, check it out today!

Comparing Ethereum to Stock Market Trading: Similarities and Differences

In the world of decentralized finance, Ethereum token sniping has gained significant attention and is often likened to the fast-paced world of stock market trading. While both involve the pursuit of quick profits, there are notable similarities and differences between these two investment approaches. In this article, we will explore the key aspects of Ethereum token sniping and compare them to their counterparts in the stock market.

  1. Speed and Volatility: One of the fundamental similarities between Ethereum token sniping and stock market trading lies in the need for speed and the volatility of the markets. Both activities require investors to closely monitor market movements and make split-second decisions to capitalize on price discrepancies. Whether it’s sniping newly launched tokens on Ethereum or trading stocks on major exchanges, quick reflexes and efficient execution play a crucial role in maximizing potential gains.

  2. Access and Liquidity: Ethereum token sniping and stock market trading also share similarities in terms of accessibility and liquidity. With the rise of decentralized exchanges (DEXs) and automated market makers (AMMs), anyone with an internet connection can participate in Ethereum token sniping. Similarly, stock market trading has become increasingly accessible through online brokerages and trading platforms. Additionally, both markets offer varying levels of liquidity, allowing traders to enter and exit positions relatively quickly.

  3. Regulatory Environment: One of the notable differences between Ethereum token sniping and stock market trading is the regulatory environment surrounding them. While the stock market operates within a well-established regulatory framework, Ethereum token sniping exists in a relatively unregulated space. This lack of regulation brings both opportunities and risks. Investors in the stock market are protected by regulatory bodies and can rely on established rules and oversight. However, in the world of Ethereum token sniping, investors must navigate the space with caution due to potential risks like scams and fraudulent projects.

  4. Market Maturity and Risk Factors: Lastly, Ethereum token sniping and stock market trading differ in terms of market maturity and associated risk factors. The stock market has a long history, with established companies and financial institutions driving its movements. Although it carries risks, investors can rely on historical data, fundamental analysis, and established investment strategies. On the other hand, the Ethereum token sniping market is relatively young and prone to volatility, driven by new projects and speculative behavior. This dynamic environment introduces higher risks but also offers the potential for significant returns.

While Ethereum token sniping and stock market trading share similarities in terms of speed, volatility, access, and liquidity, they differ in terms of regulatory oversight, market maturity, and associated risks. It’s essential for investors to understand these distinctions and approach each market with the appropriate knowledge and risk management strategies. Both Ethereum token sniping and stock market trading can provide opportunities for profit, but they require careful analysis, continuous learning, and a disciplined approach to maximize success.

Now lets take a look at penny stocks and see how they compare….

Trading penny stocks and trading new cryptocurrencies both involve high-risk investments with the potential for significant gains or losses. However, there are notable differences between the two that impact the trading experience. Let’s explore how trading penny stocks compares to trading new cryptocurrencies:

  1. Market Dynamics: Penny stocks typically refer to shares of small-cap companies with low trading volumes and market capitalization. These stocks are often traded over-the-counter (OTC) or on less regulated exchanges, which can result in higher volatility and limited liquidity. In contrast, new cryptocurrencies are traded on decentralized exchanges (DEXs) or centralized exchanges (CEXs) and are subject to the dynamics of the crypto market, which is characterized by rapid price fluctuations and high speculative activity.


  2. Regulatory Environment: Penny stocks are subject to regulations imposed by financial authorities, such as the Securities and Exchange Commission (SEC) in the United States. These regulations aim to protect investors by ensuring transparency and disclosure requirements. Cryptocurrencies, especially new ones, operate in a relatively unregulated space. While this allows for innovation and quick market entry, it also poses risks, such as potential scams or fraudulent projects. Investors in new cryptocurrencies must conduct thorough research and exercise caution due to the lack of regulatory oversight.


  3. Information Availability: Penny stocks typically belong to companies with financial filings and information available to the public. Investors can analyze financial statements, industry trends, and company news to make informed decisions. In contrast, new cryptocurrencies may have limited information available, especially during their early stages. Investors rely heavily on whitepapers, project announcements, and community sentiment to evaluate the potential of these cryptocurrencies. This information disparity can make trading new cryptos more challenging and speculative.


  4. Market Sentiment and Hype: Trading penny stocks and new cryptocurrencies are both influenced by market sentiment and hype. Penny stocks often experience price spikes driven by promotional campaigns, investor sentiment, or news releases. Similarly, new cryptocurrencies can experience significant price movements based on market hype, partnerships, or technology developments. However, the crypto market is known for its highly speculative nature, where certain projects can quickly gain popularity and experience exponential price increases based on social media trends or influencers.

While both trading penny stocks and new cryptocurrencies involve high-risk investments, there are differences in market dynamics, regulatory environments, information availability, and market sentiment. Investors in either market need to carefully assess the associated risks, conduct thorough research, and develop disciplined trading strategies. Whether trading penny stocks or new cryptocurrencies, it is crucial to have a solid understanding of the market and exercise caution to navigate the potential pitfalls and seize opportunities for profitable trades.

And this concludes are journey down the comparison between trading crypto, and trading stocks. The one thing they DON’T have on the trading room floor? SNIPER BOTS YOU KNOW IT!

Check me out 3 times a week here on Defix or on Twitter daily

Bitcoin NFTs? Ordinals Inscriptions Explained (Finding, Buying, & More)

Bitcoin Ordinals have taken over Web3 — at least, that’s how it seems. The space has been buzzing since software engineer Casey Rodarmor launched the protocol on January 21, with some excited about the new upgrade and others swearing Ordinals off entirely. There are currently more than 640,000 Ordinals minted at the time of writing.

Even though that number seems large, the vast majority of people simply don’t yet know how to buy them, let alone create them. With higher barriers to entry, that means potential opportunities abound. But it also means higher risks. If you’re ready to take that chance and embrace the potential of Ordinals, we’re here to guide you on how to find, buy, and store them safely. First, it’s essential to understand a few critical points about Ordinals that the average NFT enthusiast might not know.

What are Ordinals?

Each Bitcoin is broken into 100,000,000 units called satoshis (or sats). The new Ordinals protocol allows people who operate Bitcoin nodes to inscribe each sat with data, creating something called an Ordinal. That data inscribed on Bitcoin can include smart contracts, which in turn enables NFTs. In rough terms, Ordinals are NFTs you can mint directly onto the Bitcoin blockchain.

But that’s not exactly right. That’s the short-hand understanding, but there are a few important differences between NFTs and Ordinals.

How are Ordinals different from NFTs?

NFTs on Ethereum (or an Ethereum Virtual Machine blockchain) often point to off-chain data on the Interplanetary File System (IPFS) — a decentralized file storage system, sort of like the blockchain’s hard drive — that can be changed using dynamic metadata. To illustrate, some NFT projects update the metadata of individual NFTs to improve image quality. They might even ask their holders to click the “refresh metadata” button on OpenSea to get the new, higher-quality image.

This ability to change an NFT’s metadata alludes to a deficiency Rodarmor was trying to improve when he created the new protocol. In Rodarmor’s estimation, NFTs are “incomplete” because many require off-chain data. On the other hand, Ordinals are “complete” in that all the data is inscribed directly on-chain. That’s why Rodarmor refers to them as digital artifacts, not Bitcoin NFTs. Moreover, NFTs often have creator royalties attached to them, whereas digital artifacts do not. According to Rodarmor, an Ordinal “is intended to reflect what NFTs should be, sometimes are, and what inscriptions always are, by their very nature.”

All this to say that Ordinals on Bitcoin may not only signal a cultural change for Bitcoin—they may actually be a technical improvement on NFTs. With that as the backdrop, here’s how to buy, receive, and store your first ordinals.

The environmental impact of Bitcoin Ordinals

The energy consumption of large blockchains is simply massive in scale, and Bitcoin is the largest blockchain in the world by market cap. What’s more, Bitcoin uses a proof-of-work (PoW) consensus mechanism to validate transactions and add them to the blockchain, which is an extremely energy-intensive process. Due to its size and PoW consensus mechanism, Bitcoin is leagues beyond other blockchains when it comes to energy requirements.

In August 2022, a report from the U.S. government estimated that Bitcoin accounted for 60-77 percent of global crypto-asset electricity usage. How much energy does this translate to? It’s difficult to pin down exactly, but reports from Digiconomist indicate that the combined energy usage of Bitcoin and Ethereum (before the historic Ethereum merge of September 2022) was over 317 TWh of energy annually, putting the chains somewhere between Italy and the United Kingdom in terms of electrical energy consumed. 

Yes, that is a lot of energy. But the context is important.

Many companies and industries consume more energy than countries. Blockchain is far from unique in this regard. Ultimately, Bitcoin’s energy needs rank near the lower end of rather small mining industries like copper and zinc. Bitcoin’s total annual energy consumption is also less than what the world’s residential air conditioning units require and lower than the energy needs of the world’s data centers (looking at you, Apple, Google, and Amazon).

And before you say that artists should go back to selling their art on t-shirts to make a living, please note that, according to Ngan Le at Princeton, “the fashion industry is currently responsible for more annual carbon emissions than all international flights and maritime shipping combined.”

Of course, this doesn’t mean that blockchain and NFTs don’t impact the environment. But the searing criticism is often exaggerated and missing necessary context.

The most notable Ordinals inscriptions

Punks

The rise of Ordinals didn’t take long. Just weeks after going live, fascinating collections and eye-popping sales took shape, with some individual pieces selling for hundreds of thousands of dollars. Ordinal Punks is one of the most notable projects to emerge in these early days. Paying homage to CryptoPunks, Ordinal Punks is a set of 100 Bitcoin NFTs minted within the first 650 Inscriptions on the Bitcoin chain — the highest numbered Inscription in the collection takes up spot #642.

18 Ordinal Punks
CREDIT: ORDINAL PUNKS

Taproot Wizards

Beginning with Inscription #652, Taproot Wizards is an Ordinal collection of hand-drawn NFT wizards created by Web3 developer Udi Wertheimer. Why is this project so notable? It is said to be the largest block and transaction in Bitcoin’s history, coming in at a staggering 4MB. 

OnChainMonkey

On the other side of the coin is the Ethereum-based collection OnChainMonkey (OCM). With Inscription 20,219,  the team minted 10,000 Ordinals into a single Inscription, making it one of the first 10k collections on Bitcoin. The OCM team notes that the size of the Inscription is less than 20,000 bytes, making their method a scalable model for other collections to use to create NFTs on Bitcoin without clogging the network.

TwelveFold

Yuga Labs recently launched its own Ordinals collection, titled “TwelveFold.” In total, 288 of the 300 pieces were for auction, with Yuga holding back the remaining 12 for contributors, donations, and philanthropic efforts. The pieces, resembling dots, that make up the collection were crafted in-house by Yuga Labs’ art team using 3D modeling, algorithmic construction, and high-end rendering tools.

Degods

Then, there’s Degods on Bitcoin —  currently, number one in 24-hour volume on Bitcoin, with the collection itself surpassing every other Ordinals project combined. The DeGods community, initially a dominant player within the Solana ecosystem, is cementing its impact across multiple blockchain networks. DeGods on Bitcoin was minted on March 17 and contains 535 NFTs. The DeGods team told nftnow in a recent interview that they hope to be the “number one NFT community on every chain.”

As the Ordinals market matures, we will likely see a host of other innovative collections emerge. Want to stay up-to-date? Head here for a running list of the most innovative Bitcoin NFT artists and projects to watch.

How to buy, trade, and store Ordinals

Until recently, there was no designated wallet interface (ala MetaMask) for those who wanted a place to store and transfer their Bitcoin Ordinals Inscriptions. However, that lack of Web3 infrastructure has rapidly begun to change, with three wallets recently announcing Bitcoin Ordinals-supported functionality: Ordinals Wallet, Xverse, and Hiro Wallet.

While the range of these wallets’ functionality is limited (with more features en route, according to their developers), they’re a good place to start if you don’t want to deal with the logistics of setting up a separate Bitcoin wallet on your own. If you’re not a fan of the above options, you can also set up a Bitcoin wallet (like Sparrow) that allows enough customization to receive Ordinal inscriptions.

Sparrow wallet is a desktop application that requires a handful of steps to make it compatible with Ordinals. Once you’ve downloaded Sparrow, follow this detailed tutorial on Github to make an Ordinal-compatible wallet. If you follow this guide, you should not send BTC to or from this Ordinals wallet. This wallet is only for receiving Ordinals. If you send BTC from this new Ordinals wallet, you may accidentally send both your BTC and your Ordinal(s).

Now that you have your wallet set up, it’s time to check out Ordinals marketplaces. Gamma, for example, has launched a new trustless Bitcoin Ordinals marketplace. Its goal is to deliver a “remarkable web3-native experience,” combining an open marketplace, creator tools, and integrations with secure third-party wallet extensions. You can not only buy and trade Ordinals on Gamma, but you can also create inscriptions. Magic Eden has also just launched its Bitcoin NFT Marketplace.

Ready to dive deeper? We recommend going directly to the source: Rodarmor’s Ordinal Theory Handbook.

A Guide to Memecoins: $PEPE Giveth and $PEPE Taketh

With NFT sales volume steadily declining since January 2023, memecoins — such as $PEPE, $DOGE, and $TURBO — have emerged as the center of attention in the crypto space. Unlike conventional cryptocurrencies such as Bitcoin and Ethereum, memecoins are primarily used as trading instruments and lack any specific utility tied to particular blockchain features, such as Ethereum’s use of Dapps and DAOs.

While memecoins give traders an opportunity to make large amounts of money in short periods of time, they are also very volatile and unstable. As such, they should be approached with caution.

Here’s what to know about memecoins, how they became popular, the risks, and how to buy them yourself.

What is a memecoin?

So, what exactly is a memecoin? Memecoins — AKA “shitcoins” — are a cryptocurrency created and promoted around a popular internet meme or cultural trend. The appeal of memecoins lies in their fun and lighthearted nature, as well as their potential for significant profits.

Memecoins are often created as a joke or a way to mock the serious nature of traditional cryptocurrencies, but they can still hold significant value if they gain a following. This has led to a large increase in memecoin trading and investment, with some investors seeing major returns.

What are some examples of memecoins?

Two of the most popular memecoins are Dogecoin and Pepe Coin. Dogecoin was started as a joke in 2013 by Billy Markus and Jackson Palmer, but it has since grown into a significant player in the cryptocurrency space. In May 2021, it surged to an all-time high of around $0.74, boasting a market cap of over $80 billion at its peak.

Inspired by the popular internet character Pepe the Frog, Pepe Coin recently made headlines when it reached a $1 billion market cap and entered the market’s top 100 cryptocurrencies — all just three weeks after launch. The contract for the token was deployed by an anonymous user and originally gained popularity through posts on its official Twitter.

Other notable memecoins include Shiba Inu (SHIB) and Akita Inu (AKITA).

One reason for the recent popularity of memecoins is the rise of social media and internet culture. Memes have become a significant part of online communities, and memecoins are a natural extension of this trend. The rise of Reddit communities, Discord channels, and other online forums has made it easier than ever for memecoins to gain traction and attract investors.

Another reason for the popularity of memecoins is the desire for quick profits. While other coins like Ethereum and USDC can take time to appreciate in value, memecoins can see significant gains in a short amount of time. According to Watcher Guru, if someone invested $1,000 in $PEPE on April 17, 2023, their tokens would be valued at $36,541 by May 3.

How to buy memecoins

Certain memecoins aren’t listed on exchanges. As a result, buying them can be tricky for those new to the space. Fortunately, the process of buying them is mostly the same from coin to coin. To illustrate, we’ll use $PEPE as an example.

First, make sure you have a wallet such as Metamask or Coinbase Wallet. Then, if you don’t already have some, buy Ethereum or transfer it through another exchange to your wallet. After you have the amount you want to swap in ETH, open Uniswap.com and connect your wallet.

Uniswap Homepage screenshot
CREDIT: UNISWAP

Copy and paste $PEPE’s token address 0x6982508145454Ce325dDbE47a25d4ec3d2311933 and select Pepe Coin. Double-check to ensure you have the right coin and sign the transaction. Then, enter the amount of ETH you want to swap, and the amount of $PEPE will appear. Click “Swap” and sign the transaction.

Then, after a few moments, your Pepe Coin should be in your wallet.

The same process applies to different memecoins; all you have to do is swap out the token’s contract address. For example, if you were to buy $TURBO, you can access the contract on etherscan

Alternatively, certain memecoins, such as $SHIB or $DOGE, can be purchased directly on exchanges like Coinbase. Similarly, you can buy $PEPE through OKX or Binance.

Risks and concerns

Ready to buy? Before you do, it’s important to remember that while memecoins can lead to quick profits, they are also subject to sudden price fluctuations. This can make them risky investments and may not be suitable for everyone, particularly those who are risk-averse.

With every story you hear about someone who has made hundreds of thousands off a memecoin, there are also more people who have lost large amounts but just don’t advertise it on social media. In a thread by NFT_Doctor33, dozens of traders chimed in with their losses to demonstrate that the crypto space isn’t solely about constant gains and victories but also setbacks.

As these memecoins continue to evolve, it will be interesting to observe their impact on the broader cryptocurrency market. Whether coins like PEPE maintain long-term success or eventually give way to another trend, they have already secured a place in NFT history as a significant contributor to the crypto ecosystem.

Front-running bots, sandwich bots and the “mempool”

The title of this positing includes terms associated with blockchain and crypto, and many of you will have heard of them, but do you really know what they are, how they work, and the impact they can have on crypto trading?

Front-running is a bit like having “insider information” on a large trade that’s about to occur, which will drive the price of an asset up or down. Imagine knowing that next week, a huge company is going to invest in a smaller company on the stock market. The price of shares in the smaller company is currently tiny (let’s say $0.01 per share), but you know that as soon as the bigger company comes along and invests $500m in this company, it’s going to make the smaller share company soar to $2.00 per share. If you had your “unethical hat” on, then you could see that potentially buying some shares in that smaller company before next week, could provide an opportunity to make some profit, as you can purchase them now at $0.01 and sell them next week at $2.00

If you apply this example to the world of crypto trading, this is known as front-running, however the actual “insider information” is available for all the world to see…. you just need to be super, super quick to take advantage of it.

You see, when someone goes to a DEX to make a buy or sell order, no matter how big or small, the trade itself isn’t executed instantaneously. The speed of execution depends on the blockchain in question, but if we focus on the Ethereum Blockchain for the rest of this posting as an example, you’ll know (if you’ve ever traded with Ethereum) that there’s a delay between actually placing a trade, and the trade itself ultimately being “executed” and appearing on the blockchain.

Each Ethereum “block”, which is where all transactions have been added, takes around 12 seconds to be added to the chain. It doesn’t seem like a long time, however 12 seconds for a programmable script or “Bot” is a very long time to get things done!

So let’s explore what happens during that potentially 12-second period…

You place a trade, and the trade goes into the “mempool” — At a high-level, a mempool is basically a waiting room for pending transactions. They get sent to a node on the blockchain, and wait around before they are eventually processed and added to the blockchain.

In fact, there’s no guarantee that your transaction will even get processed in the current block. When the network is busy, you may even have to wait until the next block is processed, or even the block after that! In some cases, you might even be waiting over a minute for your transaction to get processed!

The interesting thing about mempools is that they are visible for all the world to see. Everything on a blockchain is public. Every transaction can be viewed. You can see the senders wallet address, the receiving wallet (or smart contract) address, the amount sent, etc.

So if you were a super-rich crypto “whale” trader, and wanted to buy $500m worth of Ethereum, then that pending trade will first go to the PUBLIC mempool, and wait around for a little while before it’s processed.

The other interesting thing about mempool is that they DO NOT operate on a “First-In-First-Out” (FIFO) basis.

If Bob and Mary both send a transaction Chris in the same block, and Bob sends his transaction 1 second before Mary, it doesn’t necessarily mean that Bob’s transaction will arrive at Chris’s wallet before Mary’s — How can this be? One of the critical factors is how much gas both Bob and Mary paid for their transaction.

You see, if Mary paid a significantly higher gas fee than Bob, then it’s highly likely that Mary’s transaction will arrive in Chris’s wallet before Bobs transaction.

When you use Metamask to make a transaction, you have the option to accept the default “Market Rate” gas fee, or instead edit the amount of gas you’d like to pay. You can see from the image below the estimated times for processing your transaction based on network conditions and current gas rates:

You don’t even have to accept one of the three default gas values…. you could reduce the amount of gas you want to pay to an amount even lower than the “low” value, although the risk of doing this is that the transaction takes a VERY long time to process, or potentially never get processed!

At the same time, you can pay a higher gas fee than “Aggressive” if you really want your transaction to get processed as soon as possible.

For all the transactions currently sat in the mempool, the transactions willing to pay the highest gas fee are the ones most likely to get processed first.

So going back to the example of Bob, Mary and Chris, you can see that if Mary paid a significantly higher amount of gas for her transaction than Bob did, her transaction is likely to reach Chris’s wallet before Bob’s transaction, even though Bob sent his transaction 1 second before Mary.

Front-Running Bots

With that information in mind, what if you knew the following information:

  1. A HUGE buy/sell transaction is sitting in the PUBLIC mempool, which will inevitably move the price of the asset once the transaction is processed
  2. This particular transaction was made using an average gas price, and it’s expected to take around 10 seconds to process

So what if you could create a “Bot” script that sits around all day, scanning the mempool, looking for huge (pending) transactions that will shift asset market prices, and when the “Bot” sees one of these transactions, it makes an instant transaction to buy the same asset, but pays a far higher gas fee?

You can probably see what will happen here! The “Bot” will receive the asset at the current price (probably still a low price) FIRST and then the huge transaction will get processed SECOND. By the time the Bot has received it’s asset at the low price, the new asset price (formed by the HUGE transaction) has now inflated the price, in which case the owner of the Bot can make a profit by selling the asset back to the market at the new higher price!

The smaller the pool, the bigger the impact

Up to this point I’ve described how you could use a bot for “front-running” a huge transaction that will move asset price, but it’s worth noting that this is based upon moving the price of an asset that is part of a huge liquidity pool.

For example, as of the time of writing this post, the USDC/ETH liquidity pool on Uniswap v3 sits at $221.94m

If you wanted to impact the asset price by just 0.1%, you have to spend $1.5m USDC!

But this is a huge liquidity pool, so it would require huge amounts to move the price. But what about smaller liquidity pools?

Imagine you were following a smaller crypto project that has been making steady progress, and starting to gain some attention. The current liquidity pool is small when compared to the USDC/ETH pool, and average daily transactions reflect this…. but then one morning a front-running bot spots a large transaction on this smaller project pair that will move price.

Here is an example of a fun new meme project on Ethereum called “Mouseworm”

Mouseworm logo

For this liquidity pair, you could impact the price of Mouseworm by over 20% by investing just $25,000 in the project.

So before this example trade is placed, 1 Mouseworm would cost $2.24 USDT, but after this $25,000 trade is placed, the price of 1 Mouseworm would be somewhere around $2.68. That’s a significant increase. So if you programmed a “Front-running” bot to place a trade (using more gas) than this $25,000 trade, then you could get the token at a lower rate than $2.68, and know that immediately after the bot makes the purchase, the rate will jump up considerably, potentially providing a sell opportunity at a profit.

This is why it’s not always necessarily a good thing to try and save on gas fees when trading on assets. When you next go to place a crypto trade on your phone, you might think that you’re not in any mad rush for your trade to go through, so you may as well just save some gas fees…..but there might be a bot watching what you’re doing, and preparing to front-run you!

No rush…. save some gas and just chill!

Sandwich bots

Sandwich bots use similar techniques, only they normally consist of a pair of trades (both a buy AND sell) which are carefully constructed and timed to form what is known as a “Sandwich Attack”.

not this kind of sandwich attack!

The sandwich attack involves placing two trades on a DEX, with the intention of profiting from the price movement that occurs BETWEEN the two trades. This process is a combination of “front-running” and “back-running”.

The first trade allows the bot to get the asset at a low price, as the real trade (executed after the bot’s trade due to not paying as much gas) will cause the price to go up.

The second trade will then execute immediately after the real trade to instantly sell the asset, before anyone even noticed. The attacker got in, made a profit, then sold the asset back to the market, all in the blink of an eye!

Whilst this would be practically impossibly for a human to do, sandwich bots on the other hand automate this process by continuously monitoring the order book of a DEX and placing the necessary trades at the appropriate times. They can be used to repeatedly profit from small price movements, and can be particularly effective when used on illiquid markets with low trading volumes.

What can be done?

There are some obvious ways to avoid front-running and sandwich bot attacks.

  1. The first is to trade within a large (or aggregated) liquidity pool. The likelihood of your trade moving market prices is miniscule, so the opportunity for a bot to profit from that trade (particularly when DEX fees are factored in) is negligible or doesn’t exist.
  2. Keep slippage low! If you set your slippage too high, then you are begging to be front-run! The slippage amount accounts for the likelihood of your trade succeeding or failing, and many crypto traders tend to set slippage too high as they are desperate to get hold of some tokens as the price is climbing fast and they don’t want to miss out. This could prove costly, and bots WILL take advantage of this!
  3. Pay Higher gas fees. If you want your transaction to get processed quicker than someone else, you’ll generally have to pay more gas than the competition. It’s usually better to pay more gas and keep slippage low, rather than the other way round.
  4. Make multiple low value orders rather than one big order. Bot developers are smart and they’ve already factored in gas fees, slippage, asset price etc., so there comes a point when a bot simply won’t try to execute a front-running trade, because it won’t be profitable when fees have been accounted for. In contrast, if you’re making a big trade on a smaller liquidity pool, the changes of the bot making a decent profit increase substantially.
  5. Use a reputable DEX — Most of the leading DEX exchanges include features such as quick matching, randomized transaction processing, trade match engines and periodic auction matching to minimize the odds of front-running.

Instadapp Turns on DeFi Automation, Powered by Gelato Network

Auto-refinance your debt position between Maker, Aave & Compound to avoid getting liquidated

Instadapp and Gelato are joining forces to release Instadapp Actions, a new service that is being rolled out today to Instadapp’s nearly 25,000 users and counting. As the first use case, users will be able to enjoy automated debt refinancing between various DeFi lending protocols to prevent costly collateral liquidations.

As one of the world’s most advanced decentralized crypto assets management platforms, Instadapp aims to make complex cross-protocol transactions simple and seamless. Up until today, Instadapp has managed more than $500 million crypto assets across leading protocols like MakerDAO, Aave, Compound, and Uniswap.

We all know that the crypto world is 24/7, but with the help of Instadapp and Gelato, this brand new service allows you to automate an important aspect of your crypto investing strategy. Using Instadapp Actions, you will finally be able to sleep peacefully at night again.

Why Instadapp Actions Is the Service That We All Have Been Waiting For?

So you finally figured out how the flash loan works, took out a DAI loan on MakerDAO using your ETH as collateral, and spent the DAI you just got on buying even more ETH. You thought ETH would go straight to the moon, and you were just about to order your Lambo from the car dealership. But in the middle of the night, the ETH price started crashing, and your debt position got undercollateralized.

As much as we want to become savvy investors, we physically can’t spend day and night optimizing our interest payments while keeping our collateral secure from liquidations by moving it from one protocol to another to avoid a hefty liquidation penalty. That’s where Instadapp Actions come in, which automatically refinances our debt and helps our portfolio reduce its liquidation price, so we don’t have to worry about the last-minute market volatility ever again.

What Does It Really Mean to the DeFi User — You?

As a DeFi user, you will benefit from paying the lowest possible interest rates on your DAI debt on MakerDAO while at the same time being able to capitalize on the significantly lower collateral requirements on protocols such as Aave and Compound.

“I believe refinancing automation will be one of the most used features to secure ETH-A vaults as it saves users from liquidation without selling any Ethereum. Automating Instadapp’s DeFi smart accounts with Gelato will enable many more equally powerful use cases in the future.” — Samyak Jain, Co-founder and CTO of Instadapp

Gelato Network — a decentralized network of bots, will refinance your position before it can get liquidated on one of the protocols to help you avoid having to pay the liquidation penalty.

Gelato and Instadapp will do the heavy lifting for you, monitoring prices and automatically reacting to changes in the ETH price. We know you have a busy life, and we want to make sure that your portfolio stays on track, so you can focus on whatever is more important to you or just relax.

The assets stored in your Instadapp DeFi Smart Account will be moving fully autonomous between the most liquid lending protocols, such as MakerDAO, Aave, and Compound, based on where the most favorable liquidation prices are for your debt position.

“Decentralized automation is one of the missing pieces of DeFi and blockchain today, using Gelato, projects like Instadapp can finally do it in an easy, reliable, and trustless way.” — Matthieu Marie Joseph, Legendary Member at Gelato Network

Ready to refinance your auto loan? Go to http://defi.instadapp.io/makerdao and try Instadapp Actions now.

About Instadapp

Instadapp is a DeFi portal that aggregates the major DeFi protocols using a smart wallet layer and bridge contracts to make complex cross-protocol transactions simple and seamless. Up until today, Instadapp has served and managed over $500 million in crypto assets across leading DeFi protocols like Maker, Aave, Compound, and Uniswap.

About Gelato Network

Gelato Network is Web3’s premier automation network, enabling developers to automate a wide variety of arbitrary smart contract executions on and across all EVM-based compatible blockchains such as Ethereum. Examples of use cases developers have built on top of Gelato include Limit Orders on AMMs like Uniswap, automatic compounding of yield farming vaults, Aave liquidation protection, MakerDAO debt ceiling updates, automated liquidity management, and even the petting of Aavegotchis.

Our ultimate goal is to automate everything and by giving developers the reliable tools they need to do this, we can empower their users to get the most out of their Web3 experience.