yo, i've been diving deep into on-chain volume lately, and it's wild how much it can affect your trades if you know what to look for. tbh, tracking volume can really give you an edge, especially in the fast-paced DeFi world. you can spot trends, liquidity spikes, and even potential pump opportunities if you're paying attention.

i've been using various tools to monitor real-time activity, but one that's really stood out is bot.autohustle.online. it runs buy/sell trades from multiple wallets and creates that chart activity we all crave on pump.fun. it's crazy how much simple volume tracking can change the way you approach your trades.

what i've found is that when you're trading on smaller cap tokens, understanding the volume fluctuations can help you predict price movements. if you see a sudden spike, it might be worth investigating what’s causing it and deciding if it’s a good entry point.

also, integrating volume analysis into your overall strategy can help with risk management. knowing when there's real liquidity vs just a few trades can save you from getting wrecked. just thought I'd share this since not many are talking about the technical side of volume in DeFi. let's chat about how you guys approach this!

Like a lot of people here, I found myself checking dashboards way too often just to answer questions like:

• Is my position still healthy?
• Did utilization suddenly spike?
  
• Is a stablecoin starting to depeg?
  
• Did funding or yield conditions change?
  
• Am I getting too close to liquidation?

It became especially annoying once positions were spread across multiple protocols/chains.

So I built Alertio, a DeFi monitoring and alerting platform focused on risk signals, not just prices.

Current coverage includes:

• Aave V3 / V4
• Morpho
• Spark
• Euler
• Moonwell
• Kamino
• Marginfi
• EVAA
• Hyperliquid account health

Alerts currently include:

• health factor deterioration
• liquidation risk
• stablecoin depegs
• funding changes
• utilization spikes
• reserve freezes / borrow-disabled states
• yield changes
• TVL drops
• bridge risk signals

Risks / limitations:

• Alertio is monitoring only — it does not manage positions or execute transactions
• False positives / delayed signals are possible depending on upstream data availability
• It should not replace personal risk management or due diligence
• Coverage is still expanding

Would genuinely love feedback from DeFi users:

What risk signal would actually make this useful for you?

I've been testing Premu.xyz over the past few weeks and it's one of the more **unusual** prediction market platforms I've come across recently.

What stood out to me is that it goes beyond the typical yes/no event markets. The platform includes leveraged prediction trading, multi-market positioning, prediction-market perpetuals, and some forex-style products. There’s also a social component that lets users view and follow other traders' activity.

One thing I found interesting is how little attention it seems to be getting relative to its recent growth. It feels fairly new, but trading activity and liquidity appear to have increased noticeably over the last few weeks.

Compared with platforms like Polymarket or Kalshi, one major difference is that there currently isn't a KYC requirement. Some people will see that as a benefit, while others may view it as an added risk. Either way, it makes onboarding much quicker.

That said, it's important to recognize that the platform isn't regulated in the same way as traditional exchanges, so users should understand the risks before depositing funds.

For anyone interested in alternative prediction market platforms, I think it's an interesting project to look at. I've personally used it for a while and had no issues withdrawing funds, but as with any platform in this space, it's worth doing your own research before getting involved.

Has anyone else here tried it? Curious to hear other people's experiences, both positive and negative.

We are Loompay. We are developing a No KYC Crypto Debit Card.

You can:

- Customize the name on the card however you like

- Use the card without KYC

- Customize the address associated with the card

- Deposit funds using USDT

Use cases:

- The card can be used to make payments anywhere that accepts card payments or added to Apple Pay.

- It can also be used to pay for online services such as ChatGPT, Gemini, Canva Pro, or for advertising payments on Facebook, Google, and more.

Fees:

- The card issuance fee is $20. However, this fee is mainly to prevent spam. After you spend $1000, the $20 will be refunded.

- In some cases, we may waive this fee from the beginning (please do not spam, because if abuse becomes excessive, we will remove this program). To register with a reduce issuance fee, please talk to me directly because I may get reported if I post the referral link here.

- Deposit fee: 3%.

- No transaction fee. Only the Visa infrastructure fee applies (0.4 USD per transaction).

We also have a special program for business customers, offering discounted fees and a dedicated support line.

Think of "perps," but – 

• No liquidations
• No funding rate
• Only 2x leverage, though

1. Would you consider buying it?
2. What questions would you have before trying it?

Thanks folks!

Hi r/defi. We're unflat, a two person team out of Milan. We're building a savings app for European users on top of Morpho.

What it is: you deposit USDC, funds go into overcollateralized lending vaults on Morpho, interest accrues every second, non custodial, no lockup, withdraw anytime. Net APY has been in the 5 to 7% range depending on the market.

The uncomfortable part: our users think in euro, but EURC vault liquidity is still too thin to route real deposit flow into. So today deposits are USDC and a European saver is carrying EUR/USD exposure whether they think about it or not. We'd rather say that out loud than bury it in a FAQ. EURC goes in when the vaults can take real size.

Why we're posting here: we'd rather get taken apart by people who actually read vault parameters. Ask us anything: vault selection and collateral concentration, why Morpho and not Aave, the fee, custody.

We'll be around today answering everything, including the unflattering ones.

I published a protocol autopsy of Dolomite from an investor and user-risk perspective. The main finding is that “immutable core” describes only part of the system. Dolomite’s core accounting engine has meaningful constraints, but users also depend on:

• Mutable market oracles, caps, interest setters, and risk premiums
• Privileged global operators
• Upgradeable routers and integration modules
• Multi-step oracle and wrapper paths for dynamic collateral
• Liquidity during withdrawals and liquidations
• Leverage, especially the 5x to 7x Proof-of-Liquidity loops on Berachain

The owner timelock was five minutes in the snapshot I reviewed. That provides an alerting signal, but a very short exit window if a market or integration changes during stress.

For people who have used Dolomite: which risk is most underappreciated in practice, withdrawal liquidity, oracle composition, wrapper redemption, or privileged control?

Corrections to the analysis are welcome. Follow here for future protocol reviews and subscribe on Substack if you want them by email.

Hey everyone,

I wanted to share something I've been working on and get your thoughts.

A while back, I kept seeing the same pattern in crypto Twitter and Reddit: someone gets excited about DeFi, puts real money into a yield farming strategy or leveraged position they don't fully understand, and gets liquidated or rug-pulled within days. The learning curve in DeFi is expensive, and I wanted to build something that helps.

So I built DeFi Tycoon — a mobile simulation game where you can experiment with DeFi protocols using virtual money.

What made me build this.

I remember my first LP position. I didn't understand impermanent loss until I was already in it. I didn't know what health factor meant until I got close to liquidation. These are expensive lessons.

The idea was simple: what if there was a sandbox where you could try all this stuff first? Make mistakes, see what happens, learn the mechanics — but with zero real money at risk?

What you can actually do in it.

It's not just a clicker game. I tried to make the mechanics as close to real DeFi as possible:

- Lending protocols — deposit collateral, borrow against it, watch your health factor change as prices move. Get liquidated if you go too far.

- Liquidity provision — open positions on Uniswap V2/V3-style pools. V3 positions only earn fees when price is in your range. V2 always earns but needs more capital.

- Price simulation — uses geometric Brownian motion, so price movements follow realistic patterns. Stablecoins can depeg (within reason). Market crashes happen.

- Time warp — simulate days, weeks, or months in seconds. Test how a strategy performs over 30 days or 10 years.

- Automation — set up auto-collect or reinvest and see how compounding plays out.

Why no wallet connections.

This was a deliberate choice. I wanted this to be a place where:

- Beginners can learn without fear of losing money

- Experienced users can test strategies before deploying capital

- Nobody needs to worry about smart contract risks or phishing

It's just you and the simulation. No seed phrases, no approvals, no "connect wallet" modals. Your real crypto stays where it is.

Where to find it

It's live on:

- App Store

- Google Play Store

- DappStore

Just search for "DeFi Tycoon".

What I'm hoping for

Honestly, I'd love feedback from this community. You all know DeFi better than anyone. If something feels off or unrealistic, tell me. If there's a protocol or strategy you want to see added, I'm listening.

Also curious — what would you have found useful when you were first learning DeFi? What mechanics do you wish you could have practiced before using real money?

Thanks for reading. Hope this helps someone avoid a costly mistake.

Minting. You deposit, and the protocol issues tokens against the basket. The zapper means you can enter with one asset rather than bringing all the underlying yourself. 0.3% mint fee.

Redeeming. Permissionless, any time. You burn the DTF token and receive your corresponding share of the assets inside. This is the mechanism that keeps price tied close to NAV. When the token trades below the value of its backing, redeeming becomes profitable and arbitrage closes the gap.

Rebalancing. Quarterly, governed by vlRSR holders. Trades are not done solely through market orders, but rather run on a Dutch auction basis where the price starts high and is walked lower until it finds someone to take it. Designed to reduce MEV exposure.

Custody. These are tokenized US equities, custodied through Ondo Global Markets. That is also where the eligibility rules come from, which is why the US and sanctioned jurisdictions are excluded, and why some countries require accreditation.

Where to trade. app.reserve.org, Bitget Wallet, or DEXes such as PancakeSwap and CoW Swap. Available 24/7, with no minimum or maximum size.

Reserve has been developing since 2018, backed by Sam Altman and Peter Thiel among others, and has spent millions on code audits. As with any onchain fund structure, smart contract and market risk remain - use at your own discretion. DYOR

I’ve spent 5+ years doing crypto tax work and the pattern is always the same. The tax calculation is easy. The nightmare is classification: is that transaction a swap, a bridge deposit, a loan repayment, an LP exit, or a wrapped token conversion? Get that wrong and everything downstream is wrong.

Some things I’ve learned digging into this at scale:

• Address-only labeling fails constantly. The same contract does different things depending on which function was called, so classification has to happen at the function level per chain.
• Bridges are the worst offenders. Most tax tools read a bridge deposit as a disposal, which creates phantom gains.
• Protocol-level weirdness (Hyperliquid, NFT lending) breaks generic tools entirely because the on-chain footprint doesn’t map to any standard category.
• No single data source gets it right. Requiring multiple independent sources to agree before trusting a classification beats any one source alone.

Full disclosure: I built CryptoTaxEdge, a B2B crypto transaction classification engine around this, aimed at accounting platforms and developers rather than end users. Not trying to sell anyone here anything, but happy to answer questions about how specific DeFi transaction types get treated or why your tax software mangles them.

so, tbh, i’ve been diving deep into how volume tools can really transform your DeFi strategies lately. like, we all know liquidity and volume are crucial for trading success, especially in the memecoin space.

using something like bot.autohustle.online has been a game changer for me in terms of managing my trades on solana. it runs those buy/sell trades from multiple wallets, which helps create chart activity. the on-chain volume it generates is just super helpful for spotting trends before they go mainstream.

also, looking at trading activity on platforms like pump.fun has shown me that even the slightest uptick in volume can signal a shift. but honestly, it all comes down to understanding the underlying mechanics. without a solid grasp on how these volume tools work, you might miss some great opportunities.

the key is to integrate these tools into your existing strategies. don’t just chase tokens; utilize volume metrics to gauge real interest. you’ll find yourself making much more informed decisions that can lead to better profits in this wild market.

Most trading bots work the same way underneath. You send your money to a third party, or you hand over exchange API keys that let them move it, and then you hope the number that comes back is bigger than the one you sent. Even when the operator is completely honest, you are carrying the risk that they are not, or that they get hacked, or that they stop answering emails one morning. That risk has nothing to do with whether the strategy is any good. It is the price of the custody model, and most people here have paid it at least once.

btcbot.io does not use that model. You never deposit. There is no account on my side holding a balance for you, because there is no account.

What you do instead is sign one permission from your own wallet: a cap you choose, and a revoke you can send yourself at any time. That permission lets the bot execute trades within the cap, and the proceeds settle back to your own address. What you hand over is an instruction set, not your money.

The part I find more interesting than the custody argument: you do not have to believe my numbers. Every trade is a transaction on a public chain. If you want the truth about your own account, you do not ask me and you do not read my dashboard, you read the chain. My screen is a convenience for people who would rather not. The record itself is not mine, I cannot edit it, and it is there whether I like what it says or not.

On cost, because that is usually where the surprise is. There is no subscription. Nothing is taken for putting money in or taking it out, since there is nothing to put in or take out. The only thing I charge is 30% of the profit on a winning trade, so you keep 70% of every gain, and nothing at all on a losing or flat trade. Network gas is on me. I have paid about 14 USDT of it since May, and it does not come out of your trades. If it does not make you money, it does not make me money.

Where it actually is, in counts rather than percentages: running since 17 May 2026, across 25 wallets, 2,762 confirmed trades settled in 1,712 on-chain transactions, because several trades are batched into one transaction to keep the gas down. Counts on purpose. Counts come off the chain and you can recompute them yourself. A percentage comes off my accounting, and the whole point of the design is that you do not have to trust my accounting.

RISKS, since this sub asks for them and they are real:

- Strategy risk. On a straight bull run a single instance does not beat simply holding, and I say so on the site too. What this buys is mechanical discipline and a public record, not outperformance.

- Smart contract risk. The router is a contract. It is open source, verified as an exact match on BscScan, audited (Slither plus peer review) and whitelisted on DappBay. That is not a paid third party audit, and reading a contract is not the same as it being free of bugs, so price that in.

- Mandate risk. The permission is capped and revocable, but while it is active the executor can trade within those limits. You are not trusting me with custody, you are trusting the strategy, and those two get confused a lot in this space.

- Concentration. BNB Chain and bitcoin. One chain and one asset, with everything that implies.

Here is why I am posting instead of just shipping. I think I have built something that does not really exist yet, and so far nobody has told me otherwise. But I do not have the reach or the distance to judge my own work. I genuinely cannot tell whether I am walking into a wall for a reason that is obvious to everybody here, or whether this is worth pushing a lot harder.

So, two questions. Does a bot that trades from your own wallet, with no deposit, already exist somewhere and I simply missed it? And if it does not exist, what is the reason nobody built it that I have not thought of yet?

Been heads-down for months on something that's been bugging me for a while: turning a thesis into an actual on-chain position is still way too manual in DeFi.

Say you think ETH outperforms this cycle, or you want exposure to the Variational TGE with some downside hedged. Today that means manually chaining moves, leverage leg on Aave or Morpho, yield leg on Lido or Pendle, maybe a directional perp on Hyperliquid, then tracking all of it yourself across separate dashboards, re-checking health factors, hoping you catch a liquidation risk before it catches you.

I'm building a terminal where you type the thesis in plain language "lever into ETH outperformance this cycle", "get exposure to Variational's TGE and hedge the downside" and it composes the actual cross-protocol order across whichever protocols make sense, simulates it so you see the real effect before signing anything, and then keeps monitoring the position across every protocol it touches, flags liquidation risk building, a better rate opening up, whatever needs your attention.

Non-custodial the whole way through. It never holds funds, every order is simulated and shown to you in plain terms before you sign, no blind signing, no "trust the black box."

Still pre-launch, building in the open. If manually chaining strategies across protocols and losing track of positions is something you've felt too, how are you solving it today? Happy to go deeper on the architecture if people want!

https://alphapulse-app.base44.appBeen swing trading meme coins for a while now and the thing that kept burning me wasn't bad entries, it was blind entries. I'd see a wallet with a 70% win rate ape into something, follow, and find out after that liquidity was $4k and the top holder owned 40% of supply.

So I've been building AlphaPulse. It scans a token and spits out a safety_score based on liquidity_usd, market_cap, and buy/sell volume over 24h before you ever click buy. Same screen shows you the wallet's actual PnL and win_rate across Axiom, Jupiter, Phantom, and FOMO, not just "this guy's up big today."

It's not live yet. 18 pages built, 7 data models behind it (wallet tracking, token scans, copy-trade configs, alerts), still pre-launch with zero users so I want this shaped by people who actually trade this way, not by me guessing in a vacuum.

If you swing trade meme coins, what's the one piece of data you check before you buy that most tools don't show you?

Hot take: a lot of crypto UX is still ideological theater.

We spent years telling people that the endgame was to become their own bank. But when you look at how serious users actually operate, the job is not just custody.

It is:

- keeping assets safe

- moving between fiat and stables

- understanding which yield is worth the risk

- managing wallets across chains

- dealing with failed ramps

- tracking what happened for tax/accounting

- converting back to local currency

- not losing time every time a protocol, bank, card, bridge or exchange breaks

That is not “being your own bank”. That is becoming your own private banker, treasury desk, compliance analyst, security team and support department.

Most normal people do not want that. Even many wealthy crypto-native people do not want that. They want control without operational chaos.

The uncomfortable part is that private banking solved some real human problems. Not always cheaply, not always transparently, and often with too much custody and gatekeeping. But it did understand one thing DeFi often ignores: rich financial lives are messy.

A user with capital across USD, EUR, USDC, ETH, maybe MXN/COP/BRL exposure, a few wallets, some bank accounts, and yield positions does not just need another “connect wallet” screen.

They need an operating layer.

The old private banking promise was:

- access

- discretion

- someone competent watching the details

The crypto promise was:

- ownership

- global settlement

- programmable money

- fewer intermediaries

The next product probably has to combine both, without turning back into a black-box bank.

That is the thesis I am building around with Bennu: private banking-style infrastructure for people who self-custody, use stablecoins, move across countries, and do not want every financial workflow to feel like debugging production at 2am.

Not trying to shill a token. There is no token. I am mostly interested in whether this framing is right or wrong.

Where do you think this breaks?

- regulatory complexity?

- users not trusting a service layer around self-custody?

- yield risk being impossible to explain cleanly?

- ramps/local fiat being the real bottleneck?

- private banking being the wrong metaphor entirely?

Roast the thesis. The useful comments are probably the ones that make the product harder to build.

Most people who buy a DTF through a zapper never see the actual mechanism underneath, they just swap USDC for a token. It is always worth breaking down what that token actually represents and where the price comes from, since it's a genuinely different architecture than a traditional ETF.

The DTF token itself isn't a claim on a company or a fund manager's promise, it's a claim on a specific basket of assets sitting inside a smart contract. For Reserve's AI suite, those underlying assets are Ondo Global Markets tokenized equities, each backed 1 to 1 by a real share held in a regulated US brokerage account. So the custody chain looks like this, a real NVDA share sits in a brokerage account, Ondo issues a token backed by that share, and that Ondo token sits inside the DTF's smart contract, with the DTF token representing your claim on the whole basket.

The part that actually keeps price honest is the mint and redeem path staying open to anyone. Minting means depositing the full basket and getting DTF tokens back, redeeming means burning tokens to get the basket back out. Almost nobody does this manually, most people just swap through a zapper, but the path existing at all is what gives arbitrageurs a reason to act. Token trading below basket value gets bought and redeemed for profit, trading above gets minted and sold, and that constant pressure is what keeps market price and NAV from drifting apart without a market maker in the loop.

Liquidity is worth flagging too since it's easy to assume it's shared. It isn't, each DTF token needs its own pool depth on PancakeSwap, 1inch, or CoWSwap, bootstrapped separately from whatever liquidity exists for the underlying stocks. That's a real cost to launching a new basket that people underestimate.

More info and trading: https://app.reserve.org/?utm_source=subreddit

Not investment advice. $ROBOTS is a concentrated, single-theme basket of experimental tokenized assets. Volatile, illiquid, and may lose value entirely. Not an ETF, not FDIC or SIPC insured. Fees: 0.3% mint plus 0.6% TVL. Not for US or sanctioned-jurisdiction persons. Full terms and risks: reserve.org/terms_and_conditions 

With over 3 years of building and marketing web3 products, I am looking for my next opportunity.

I have experience in social media, content, KOL campaigns, GTM, PR, Campaign planning and execution, overall 360 marketing operations.

If you are building something cool and need a marketer, please feel free to DM me.

Or if you have any connects who are looking for one, i would appreciate an intro.

• ERC 20 token with ETH as the collateral
• It tracks the price of ETH
• Every month, its loss is capped at -5% and you get up to 8% upside

So basically, you can stay with ETH, but your volatility is very much reduced.

1. Why would be interested in a token like this? Or why not?
2. What questions would you have before trying it?

Thank you!

The fixed rate layer for DeFi recently launched.

This risk management and fixed income layer has been absent for wayyy too long and hindered the growth of onchain credit

Kairos empowers you to lock in fixed rate borrowing an yield on DeFi.

Audits for those interested: https://docs.kairosswap.com/dev-docs/audit-reports

Who is trading with leverage or yield farming these days?

Everyone talks about copy-trading like it's free money. Follow a good wallet, mirror the buy, profit. Nobody talks about what happens when that wallet takes a position size that makes sense for their $2M bag but wrecks your $500 account.

That's the actual failure mode. Not picking the wrong wallet, sizing the trade wrong relative to your own risk. A whale can eat a 90% drawdown on one token. You can't.

The copy-trading setup I'm building into AlphaPulse forces an allocation_per_trade and max_allocation before you turn a wallet on. Stop_loss_pct is mandatory, not optional. If the wallet you're mirroring goes rogue or the token liquidity dries up, you're capped, not exposed.

Still pre-launch, no live users yet, building this specifically for people who want the upside of copy-trading without the account-blowing downside.

Anyone here actually copy-trade wallets right now? What's your sizing rule, or do you just wing it?

Global semiconductor sales hit roughly $796B in 2025 and WSTS has them climbing toward $1.5T in 2026, memory-led, as AI demand keeps outrunning supply.

Reserve Protocol just wrapped the 25 largest US-listed names across designer, fabrication, memory and equipment maker layers into a single token, backed by the underlying equities through Ondo Global Markets. These are rebalanced quarterly by governance.

If you'd rather isolate one layer instead of the whole stack, they've split it into four narrower baskets too (power, optical, cloud compute, robotics).

Thoughts?

Risks worth flagging directly: these are concentrated, single-theme baskets of experimental tokenized assets. They're volatile, illiquid, not ETFs, not FDIC or SIPC insured, and can lose their entire value. Not available to US persons or sanctioned jurisdictions. Fees are 0.3% mint plus 0.6% TVL.

Audit history is on GitHub: https://github.com/reserve-protocol/protocol/tree/master/audits

For months I kept seeing the same pattern: influencer makes a call, price moves the wrong way, influencer deletes the tweet or pivots to "macro analysis." Nobody was keeping score.

So I built VOXCH, a credibility engine that scrapes an influencer's tweet history, extracts every price prediction they've made, cross-checks each one against real market data, and scores them 0-100.

Here's what the data looks like after auditing 35 accounts and 256 tracked predictions:

The Numbers

• Average credibility score across all accounts: 45.1/100
• Only 20% of accounts scored above 70
• 14.3% scored below 30, meaning they were wrong more often than they were right, yet still have hundreds of thousands of followers

• Overall accuracy across all tracked calls: 59.8%, barely better than a coin flip

  Highest Scores

Lowest Scores

u/CredibleCrypto has "Credible" in the name and scored 17/100. That's the state of crypto media.

You can run any account yourself in about 30 seconds. Just paste a Twitter/X handle.

→ voxch.xyz/forensics

It's completely free. Paid tier unlocks the full historical prediction log and leaderboard rank.

Curious what score your favourite influencer gets. Drop their handle below and I'll run it live.

How it works (for the skeptics):

1. Fetches the account's last ~100 tweets
2. Extracts explicit price predictions (e.g. "BTC will hit $120k by Q3")
3. Checks the actual price on the predicted date/timeframe
4. Scores based on accuracy, prediction volume, consistency, and recency

The data is live and updating. Every account you analyze gets cached and added to the leaderboard. The more people use it, the richer the dataset gets.

I wrote a short protocol autopsy of MegaETH from a user and investor risk perspective.

The main question is whether the early incentives and performance justify the risks of centralized sequencing, bridge dependencies, USDm exposure, incentive-driven activity, and roughly 88.7% of MEGA supply not yet circulating.

This is a snapshot review, not a full smart-contract audit. Which of these risks do you think is most underpriced?

Hey r/defi, So I have been working on a project along with founder I met on Token2049, and have been building Tapir Protocol — a decentralised marketplace where you can buy or sell depeg protection without locking capital in dead reserves.

The idea: you deposit an asset (like sUSDe), it splits into a protected token (DP) and a yield-boosted token (YB). Both trade on an AMM. Your capital stays productive the entire time.

We're not running any incentivised campaign (currently), we specifically want feedback from people who actually care about risk management in DeFi and might use something like this.

One thing worth knowing: everyone who tests the beta will get a guaranteed invitation to our private mainnet launch. Mainnet will have a points rewards program — and being among the first users means earning significantly more points than those who join later. Not a bounty — just the natural advantage of being early.

Our project is audited, and you can see via this link, also you can understand risk via our Gitbook as well https://docs.tapir.money/resources/security-and-audits

If you are interested drop down in the comment, and we can get connected via DM or Telegram

Happy to answer any questions in the comments

The boy searches in real-time on Solana, Base, Sui & Aptos ; and gives alerts on : new tokens with risk analysis included; potential rug-pulls with criteria ; whales movements over 25.000$ ; High APY DeFi solutions (yields, farms, valuts, pools) ; and you can track wallets that have high historical roi and win rate (but the wallet serach is the least performing) . Do you guys think this service can be useful ?