Ian Balina

Ian Balina YouTube Review Guide: Everything You Need to Know + FAQ

Thinking about subscribing to Ian Balina’s YouTube channel but not sure if it’s signal or just more noise? Wondering if his market takes and altcoin breakdowns can actually help you make smarter crypto decisions?

I watched, tested, and pulled apart his channel so you don’t have to. If you want a clear, honest look at what you’ll actually get from Diary of a Made Man on YouTube, read on.

Bottom line up front: you’ll get frameworks, data-flavored research, and high-energy market views. But like any crypto channel, you need a process to filter hype and protect your capital.

The problem most viewers face

Crypto YouTube is a maze. One creator calls for “altseason tomorrow,” another says “bear market for months,” and a third pushes a token you’ve never heard of with a flashy thumbnail and zero risk talk. It’s loud, it’s fast, and it’s easy to get swept up.

• Mixed incentives: Some videos double as subtle promos or affiliate pushes, which can blur the line between teaching and selling.


• Conflicting narratives: Hot takes change with the chart. Without a framework, you’re stuck chasing whatever trend popped up today.


• FOMO pressure: Behavioral research shows herd behavior is real in markets, and social feeds can amplify it. Newer investors are especially vulnerable.

This isn’t just a feeling. A FINRA Foundation report found many new investors lean heavily on social media and influencers when making decisions—an obvious risk when content quality and incentives vary widely (source: FINRA Foundation, Investors in the United States 2022). And Pew Research highlights how uncertainty around crypto has grown for everyday users (source: Pew Research, 2023).

So the question is simple: can Ian Balina’s channel help you cut through the noise—or just add to it?

My promise to you

I’m going to give you a straight-up review of Ian Balina’s YouTube channel—no fanboying, no hit piece. Here’s what you’ll get from this guide:

• Content style: what he covers, how he frames the market, and how practical it is for real decisions.


• Strengths and weak spots: where his channel shines and where you should keep your guard up.


• Ideal audience: who will get the most value from his content (and who won’t).


• A usable plan: how to plug his videos into your research process without getting wrecked by overconfidence or FOMO.

I’ll also point out patterns I noticed across uploads—what’s repeatable, what’s marketing, and what’s actually helpful when the market gets choppy.

Who this guide is for

• Investors who like data-informed crypto research and want structure, not just hot takes.


• Viewers curious about altcoin analysis, risk frameworks, and Token Metrics-style scoring models.


• People with limited time who want to know whether to subscribe and how to use the channel efficiently.


• Beginners who want clear expectations before following crypto YouTube recommendations.

“Data beats vibes.” If that resonates with you, you’ll likely connect with the way this channel is structured.

Quick disclaimer

Nothing here is financial advice. Crypto is risky and volatile. Use this guide to sharpen your process, build your own thesis, and manage risk like a pro. If you need personal advice, talk to a qualified financial adviser.

Alright—before we go deeper, you might be asking: who exactly is Ian Balina, and why should you listen to him at all? Let’s tackle that next.

Who is Ian Balina? The quick snapshot

Ian Balina is the founder and CEO of Token Metrics, a crypto analytics platform, and a long-time YouTube creator who built his name on research-first investing, spreadsheets, and high-energy teaching. If you like clear frameworks more than hot takes, you’ll recognize why his content stands out—he’s been preaching structure since the ICO spreadsheet era and still brings that same “data over drama” mindset today.

“Process over predictions. Data over drama.”

That’s the vibe you’ll get from his work. He’s not trying to be the loudest voice in the room—he’s trying to be the one with a repeatable approach.

Background and role today

Ian originally grew an audience by publicly sharing how he researched projects: scorecards, weightings, sector comparisons, and portfolio snapshots. That transparency (and the willingness to be wrong in public) attracted viewers who wanted more than price charts and moon calls. Over time, he shifted from ICO scoring to broader analytics and education with Token Metrics at the core.

• What he’s known for now: market analysis, altcoin research, and practical frameworks for building a thesis instead of chasing narratives.


• How that plays out: he’ll map sectors (AI, gaming, L1 vs L2, DeFi) to quant scores and timelines, then explain how he’d size risk—useful for investors who want rules, not vibes.


• Why that matters: behavior kills returns. Studies like DALBAR’s long-running QAIB report show the average investor underperforms due to poor timing and inconsistent process. Ian’s focus on structure directly addresses that trap.

He still brings the energy, but the foundation is research. If you’ve ever felt whiplash from headline-chasing, his frameworks can be a stabilizer.

Media presence and author profile

Ian’s work hasn’t lived only on YouTube. He’s been featured by major outlets like CNBC, Bloomberg, Wall Street Journal, Forbes, and Business Insider, usually in conversations about crypto markets, altcoins, and investor behavior. He’s also the author of Crypto Investing Guide: How to Invest in Cryptocurrencies Like the Pros—you’ll find it on his Amazon author page here: amazon.com/Ian-Balina.

• Why the media matters: it signals he’s part of the broader conversation, not just a YouTube bubble.


• Why the book matters: it captures his frameworks in a durable format, which tells you he thinks in systems, not just short-term calls.

The YouTube channel at a glance

Channel: Diary of a Made Man. Expect an investor-first mix of research and education, with a healthy dose of Token Metrics tools when relevant.

• Market outlooks: Bitcoin as the benchmark, cycle context, and risk ranges that help you set expectations for the week or month.


• Altcoin reviews: sector rankings, score-based picks, and narrative breakdowns (think AI, RWA, gaming, L2 scaling) with pros/cons you can actually note down.


• Frameworks and tutorials: how to build a thesis, compare competitors, and size positions without betting the farm.


• Livestreams: Q&A sessions where he pressure-tests ideas and reacts to market moves in real time.


• Product tie-ins: Token Metrics models and tools show up often—useful, but keep your independent filter on.

If “tell me what to buy” is your style, you might miss the point. If you want a structured way to think about crypto, you’ll feel at home.

Curious what the content actually looks like week to week—and which videos are worth your time first? Let’s break it down next…

What you’ll find on his channel (content breakdown)

If you’ve ever bought a coin at 2 a.m. on pure hype, you’ll appreciate that this channel pushes you to think in systems. Expect a steady mix of market commentary, altcoin research powered by data models, and hands-on education—plus community livestreams that keep things real-time and grounded.

“Plans are worthless, but planning is everything.”

Bitcoin and market outlooks

Most big-picture videos orbit around Bitcoin as the market’s compass. The tone is investor-first—less scalping, more narrative and risk context. You’ll often see:

• Cycle framing: halving season, liquidity regimes, and how Bitcoin dominance affects altcoin opportunities.


• Macro overlays: rates, dollar strength (DXY), and risk-on/off cues that shape crypto beta.


• Market structure tells: funding/OI heat, stablecoin supply trends, and how sentiment bleeds into rotations.

What I like here is the “map, not the minute-by-minute” approach. Use these outlooks to set risk boundaries and timelines—think allocations and watchlists—not to time entries down to the hour. There’s solid behavioral backing for this: research on overtrading (Barber & Odean) shows frequent reactionary trades typically underperform, while high-level planning can keep you away from costly churn. If a video frames Q2 as risk-on for quality alts, I translate that into a shortlist with alerts—not instant buys.

Altcoin research and Token Metrics tie-ins

This is where the “data flavor” shows up. You’ll see scoring models, comparative ranks, and narrative clusters (AI, L2s, RWA, DePIN) to filter the noise. It’s helpful—just remember models are lenses, not oracles, and tool mentions may have a business tie-in.

Expect breakdowns along lines like:

• Market cap vs. addressable market: Is the upside even mathematically interesting?


• FDV and unlocks: Can the token absorb supply overhang without nuking holders?


• Token utility and accrual: Fees, burns, staking flows—who actually gets paid?


• Adoption signals: active users, developer activity, real integrations—not just headlines.


• Liquidity quality: CEX/DEX depth, market maker presence, and slippage risk.

Why this matters: decision checklists reduce cognitive errors in complex environments (see Gawande’s work on checklists and error reduction). In crypto, that translates to fewer impulse buys and more repeatable filters. A typical workflow I’ve pulled from these videos is: rank the sector → pick 3–5 contenders → stress-test token design and unlocks → only then think entries. It feels slower, but slower can be safer.

Tutorials, frameworks, and livestreams

Beyond picks and outlooks, you’ll get practical “how I think” content—thesis-building, position sizing logic, and Q&A streams that pressure-test popular narratives in real time. These are ideal for upgrading your process and sanity-checking hype.

Patterns you’ll often see:

• Frameworks: narrative → fundamentals → token design → liquidity → catalysts → timeline.


• Portfolio logic: how to bucket positions (core, growth, speculative) and avoid overexposure to a single theme.


• Entry/exit structure: staged entries, prewritten exit rules, and catalyst calendars so you’re not making decisions in panic mode.


• Livestream value: community questions surface edge cases—token unlock traps, governance risks, or sketchy metrics you might’ve missed solo.

There’s a behavioral edge here too: pre-commitment and written intentions have been shown to improve follow-through. Translating a livestream into a two-sentence thesis and a simple rule (“If unlock X fails or users drop below Y, I trim”) keeps you from drifting into wishful thinking.

Who will get the most value

If you want a research backbone with data at the front and center, you’ll feel at home. If you’re only hunting for short-term calls, this may feel too methodical—but that’s kind of the point.

• Best fit: patient investors, narrative trackers, builders who want a repeatable checklist before risking capital.


• Okay fit: swing traders who blend macro context with medium-term catalysts.


• Not ideal: minute-chart scalpers or anyone expecting daily “buy now” pings.

Pro tip for time-strapped viewers: watch at 1.25–1.5x, jump via timestamps to frameworks and key takeaways, and jot a 3-bullet thesis per video. That small habit alone can cut FOMO dramatically.

So the content is structured and data-led—but how well does it actually hold up, and where should you keep your guard up? Keep going; I’m about to call out the bright spots and the traps to watch for.

Strengths and weak spots (my honest review)

I like channels that teach a repeatable process, not just call tops and bottoms. Ian Balina’s YouTube content leans that way. It’s structured, it’s data-flavored, and it tries to turn noise into something you can actually act on. Still, I treat it as one smart input in my research stack, not a green light to ape into anything.

What he does well

If you’re tired of hopium and doom swings, this style can feel like a map in a storm. He’s strong at making messy macro chatter and altcoin buzz sound logical and testable.

• Framework-first thinking: You’ll get narratives, cycle context, and risk tiers instead of random hot takes. That helps you sort “big picture” vs “this week’s noise.”


• Data-driven angles: His analysis often references scoring models and quant-style views. Whether you agree or not, it forces you to ask better questions than “number go up?”


• Scenario planning: He tends to frame bull/base/bear outcomes. That’s gold for setting expectations and planning exits before things get emotional.


• Educational tone: Tokenomics, catalysts, and portfolio logic show up often. If you want to level up beyond headlines, this is useful.


• Community feedback loops: Livestream Q&A can stress-test ideas in real time and expose blind spots.

“Process beats prediction. Tools inform; they don’t decide.”

Case in point: when Bitcoin dominance is climbing and liquidity tightens, he’ll usually talk about what that means for alt risk instead of pretending every coin will moon. That kind of context keeps you from fighting the tide.

Where to be cautious

Strong channels can still nudge you into mistakes if you forget the basics. A few watch-outs I keep front and center:

• Incentives exist: Expect product mentions, affiliates, or service tie-ins. That doesn’t make the insight bad, but it does mean you should sanity-check it without the tool’s branding. Ask: “Would I still like this project if I couldn’t see the score?”


• Forecast humility: Even the best researchers get calls wrong—especially on timing. Philip Tetlock’s work on expert forecasts shows accuracy drops as time horizons stretch. Translation: treat any “future path” as a scenario, not a certainty. 


• Timeframe mismatch: The channel is geared toward investors, not scalpers. If you try to turn a thesis-driven idea into a short-term trade, the market can chew you up.


• Opaque models: Proprietary scores can hide assumptions (liquidity filters, factor weights, survivorship issues). Use them as a screening tool—then validate with on-chain data, docs, and competitors.


• Attention traps: Uploads often cluster around big narratives (ETFs, halving, new L2s). That’s when FOMO spikes. Research on attention-driven buying shows retail tends to chase what’s trending and then underperform after the buzz fades. 


• Survivorship bias: Wins get airtime; losers fade into the background. Keep your own log of theses vs outcomes so you don’t remember the highlight reel as the whole movie.

None of this is unique to one channel—this is just how crypto content works. Knowing the pressure points keeps your finger off the panic buy button.

Production quality and cadence

Nothing to nitpick here. Video/audio are clean, screen shares are readable, and visuals get to the point. Upload cadence tends to come in waves around market moments, which I actually prefer—timely context beats filler uploads.

• Livestreams add context: Hearing real-time Q&A helps you catch caveats you’d miss in a polished edit.


• Timestamps matter: If you binge older videos, check the date and market context so you don’t act on stale conditions.


• Expect sprints: Around catalysts, you’ll see higher activity. Between them, fewer but more thematic uploads.

Best starting points (playlists/topics)

If you’re new, don’t start with a random coin pick. Start where the process shows.

• Market outlooks: Get his read on cycles, liquidity, and risk before you touch any altcoin.


• Investing frameworks: Position sizing, conviction vs. risk, and thesis-building—these are the money savers.


• Research walkthroughs: Watch how he evaluates tokenomics, team quality, and catalysts. That’s where the edge lives.


• Q&A replays: Search segments about portfolio construction and risk. You’ll find the caveats that don’t fit in thumbnails.

Grab a feel for the style here: Diary of a Made Man on YouTube. Once you understand the approach, then sample the coin-specific content.

If you had a simple, no-BS checklist to turn his videos into positions you can sleep on, would you use it? Keep reading—next up, I’ll show you exactly how I convert insights into action without getting wrecked.

How to use his content without getting rekt

If you’ve ever watched a crypto video, felt a jolt of FOMO, and bought too fast… you’re not alone. The fix isn’t more hype; it’s a simple system you can run every time so one video never becomes your entire thesis.

“You can’t predict. You can prepare.” — Howard Marks

Here’s how I turn insights into action without letting emotions take the wheel.

A simple DYOR workflow you can copy

• Step 1: Watch, then compress to 3 bullets. Pause the video and write your thesis in three lines:
  
  
  
  • What’s the idea? (Narrative or problem being solved)
  
  
  • How does the token actually capture value? (fees, burns, staking, revenue share, collateral)
  
  
  • What are the specific catalysts + timing? (mainnet, tokenomics change, unlock, partnership with dates)
  
  
  
  


• Step 2: Verify the claims. Don’t trust—verify.
  
  
  
  • Docs: Tokenomics, vesting, roadmap (is there a real date or just “soon”?).
  
  
  • On-chain/data: Usage trend (active users, fees, TVL, revenue), developer activity, treasury runway.
  
  
  • Competitors: Who else solves this? Compare valuation (FDV), revenue/fees, ship speed.
  
  
  
  


• Step 3: Write a one-sentence risk. Example: “If the unlock hits before the upgrade ships, sellers crush price.”


• Step 4: Size small first. Start with a “probe” position and scale only if data confirms your thesis. No hero entries.


• Step 5: Pre-commit your exit. Price is one signal, but your thesis break is king (missed roadmap, usage rolling over, catalyst delayed).

Real talk: I’ve dodged shiny coins when the unlock calendar showed 10%+ supply hitting within days. Hype was loud, but supply was louder. Patience saved me a round-trip.

Risk rules that actually help

• Cap per coin: Beginners: 1–3% max of portfolio per alt. Advanced: 3–5% unless you have deep conviction and proof. Oversizing is how good ideas wreck accounts.


• Define risk in dollars, not feelings: If your portfolio is $10k and you risk 1% per trade ($100), and your stop is 20% away, your position size is $500. Simple and sane.


• Use “soft” stops on illiquid alts: Alerts + manual exits beat hard stops that get wicked out. But still respect your max loss.


• Never buy because a model is green. Scores are a starting point. Require an independent check: usage, tokenomics, and real catalysts.


• Mind the calendar: Unlocks, vesting cliffs, and token emissions often weigh on price. I treat big unlock weeks as yellow lights unless the demand story is overwhelming.

Why these rules? Research on position sizing (Kelly, 1956) shows oversizing explodes risk-of-ruin; using a fraction of Kelly (or simply small fixed risk) is what many pros actually do. And across many assets, simple trend/exit rules have historically reduced drawdowns (Moskowitz, Ooi, Pedersen, 2012). In plain English: small bets + pre-planned exits keep you in the game long enough for skill to matter.

Signals vs noise checklist

Signal looks like:

• Clear thesis: “AI compute demand > supply; protocol routes jobs; token captures fees via burns.”


• Evidence you can check: Users, fees, TVL, revenue, GitHub commits, partnership with integration date.


• Token-value link: Explain exactly how activity flows to holders (not just “number go up”).


• Catalysts + timeline: Mainnet Q4, tokenomics 2.0 proposal vote on X date, listing confirmed by exchange blog.


• Supply map: Vesting schedule, circulating vs FDV, emissions rate.

Noise smells like:

• “100x by next month” with no model or timeline.


• Price-only arguments and cherry-picked screenshots.


• “Partnership” that’s just an API mention or a logo slide.


• Rumors without primary sources. “Heard in a Discord” ≠ evidence.


• Ignoring unlocks, ignoring competition, ignoring product-market fit.

For beginners vs advanced viewers

Beginners:

• Use videos to learn frameworks, not to chase entries.


• Build a watchlist. Practice with tiny positions or paper trades until your thesis-exit muscle is real.


• Keep single-coin risk small (1–2%). Avoid leverage and pre-sales until you can explain every risk out loud.


• Journal each trade: thesis, data, catalyst, exit plan. One page, no fluff.

Advanced:

• Translate theses into metrics: FDV/annualized fees, active users growth, Net New Contracts, retention cohorts.


• Backtest simple rules that match your style (momentum filter, unlock filter, moving-average exit). Keep what reduces max drawdown.


• Run comps: if Protocol A’s FDV is 2x Protocol B with worse usage, consider rotating or pairing.


• Pre-mortem each idea: write how it fails before you buy. Then set alerts tied to those failure points.

When emotions spike, I remind myself: the goal isn’t to catch every run—it’s to avoid the one mistake that wipes out six months of gains.

Want the exact tools I use to verify usage, track unlocks, and sanity-check valuations—plus a few neutral alternatives so you aren’t stuck in one echo chamber? Keep going; I’ve got the whole stack next.

Handy resources, tools, and alternatives

I’m a big fan of using multiple data sources so one opinion never steers your portfolio. Here’s exactly what I use to cross-check ideas, stress‑test narratives, and keep my research stack lean.

Official links (start here)

• YouTube: Diary of a Made Man — market outlooks, research streams, and frameworks.


• Website: ianbalina.com — latest posts, disclaimers, and projects.


• Author page: Amazon author profile — published works and bio.


• Data tools: Token Metrics — quant scores, sector screens, and model‑driven views (use it as one input, not autopilot).

Complements and alternatives I like

Pair opinion with numbers. Pair numbers with context. That’s the game. These are my go‑tos, with quick “why it matters” notes and real‑world use cases.

• On-chain & fundamentals




• Glassnode / CryptoQuant — on-chain flows, miner behavior, realized caps.
  Use case: If a video is bullish on BTC near resistance, check exchange netflows and long-term holder SOPR to see if smart money is distributing or accumulating.


• Coin Metrics (community network data) — free metrics and the excellent State of the Network posts.
  Use case: Validate if an L1’s “active addresses” trend is organic or a one‑off spike.


• Token Terminal — revenue, fees, and valuation multiples for protocols.
  Use case: If an altcoin gets a strong nod, compare its fully diluted valuation to trailing 30‑day fees and user growth.


• DefiLlama — TVL, stablecoin flows, airdrops, and chain dashboards.
  Use case: When a DeFi token is trending, pull TVL share by chain and fee momentum to separate hype from product‑market fit.


• Dune — community dashboards for almost anything on-chain.
  Use case: Build or fork a dashboard tracking daily active traders on a new perp DEX hyped in any video.


• L2Beat — security models and metrics for rollups.
  Use case: Before buying an L2 token, check upgrade keys, escape hatches, and total TVL vs. risk.


• Santiment — dev activity, social trends, and whales.
  Use case: If sentiment feels euphoric, confirm with crowd buzz and funding to avoid late entries.


• Nansen / Arkham (advanced) — wallet labels and smart money flows.
  Use case: Track whether top funds are unloading a token right after it gets attention.




• Market structure & derivatives




• Coinglass — funding rates, open interest, heatmaps.
  Use case: If the call is bullish but funding is +0.10% across majors, expect squeeze risk before trend continuation.


• Laevitas (advanced) — options term structure and skew.
  Use case: Check if downside puts are getting bid before a “big catalyst,” indicating hedging or informed caution.


• TradingView — charts, alerts, and quick TA sanity checks.
  Use case: Create price/MA/volume alerts so you react to levels, not headlines.




• Neutral newsletters & research




• CoinShares Weekly Fund Flows — institutional flows by asset and region.


• Coin Metrics: State of the Network — methodical, data-first insights.


• Messari (free + paid) — sector maps, project overviews, and quarterly updates.


• Delphi Digital (free posts + paid) — macro + crypto trend pieces.


• The Block Data (free dashboards + paid) — market structure and industry stats.




• Contrasting YouTube channels




• Benjamin Cowen — cycle models and conservative bias; great counterweight when hype is high.


• Coin Bureau — balanced explainers; helps you understand a project’s moving parts before touching your wallet.


• Finematics — crisp animations for DeFi mechanics; perfect for “how does this protocol really work?” moments.


• CryptoCred — trading education; useful to spot where investors often FOMO into resistance.


• The Defiant — DeFi news and interviews; good for narrative discovery.

My fast rule: never act on a single source. I want at least three independent confirmations: fundamentals (Token Terminal/DefiLlama), on‑chain trend (Glassnode/Coin Metrics), and market structure (Coinglass/TradingView).

How I keep up without burning out

I treat crypto like a sprint‑and‑recover sport. Here’s the routine that keeps me sharp without frying my brain.

• Batch the signal: I watch market outlooks once a week and save deep‑dives for a quiet 90‑minute block. Research from UC Irvine (Gloria Mark) shows it takes ~23 minutes to refocus after an interruption; batching avoids that tax.


• 1‑pager theses only: Every new coin gets one page: problem, users, traction, catalysts, risks, and exit criteria. Checklists reduce errors—see Atul Gawande’s work on checklists in complex systems.


• Alerts > scrolling: I set TradingView alerts at levels that matter. If price isn’t at my level, I don’t care. Parkinson’s Law hates this; my calendar loves it.


• Rule of 3 confirmations: No entry until I have fundamental, on‑chain, and structure checks in agreeance. If one is off, I wait.


• Red team it: I actively look for someone who disagrees with a thesis (e.g., Cowen’s cycle caution vs. any bullish narrative). If the thesis survives, it earns a small position.


• Weekly prune: I archive dead narratives every Sunday. Fewer watchlist items = better attention when real opportunities show up.

Quick example: if a video highlights an AI token, I’ll 1) pull Token Terminal for revenue/users, 2) check DefiLlama for ecosystem flow, 3) scan Dune for active wallets, and 4) peek at Coinglass funding. If revenue is flat, users are flat, TVL is rotating out, and funding is overheated—that’s a pass for me, even if the story is hot.

Want to know which two metrics I trust most during high‑volatility weeks—and which ones I ignore completely? That’s up next in the FAQ…

FAQ + final take

Who is Ian Balina?

He’s the founder/CEO of Token Metrics and a crypto investor/creator known for data-informed research and energetic delivery. You’ll find him breaking down narratives, scoring altcoins, and laying out frameworks on his YouTube channel, Diary of a Made Man.

What is his opinion on Bitcoin?

From what he shares publicly, he treats Bitcoin as the market’s benchmark and is generally constructive long term. His focus often shifts to altcoins where he thinks the upside is bigger, but he uses BTC to frame risk and cycle context. Always check his latest uploads for current views. And remember his own risk reminder on ianbalina.com: crypto investing is high risk—speak to a financial adviser if needed.

Is this financial advice? How should I use his videos?

No. Think of his content as research fuel, not instructions. The smart play is to translate ideas into your own plan and verify them independently. A quick way to do that:

• Extract the thesis in 2–3 bullets: e.g., “AI tokens with real revenue, strong partnerships, and upcoming catalysts.”


• Cross-check: read docs, compare competitors, scan tokenomics/vesting, look at on-chain/user traction and GitHub activity.


• Pressure-test timing: is there a true catalyst (mainnet, partnership, token unlock, liquidity event), or just noise?


• Size risk: start small, scale in only if the thesis holds after new data arrives.

Why this matters: multiple academic and industry analyses show social-media-driven attention can push short-term crypto moves, but the effect fades if fundamentals don’t back it up. In plain English—hype can pop prices, conviction keeps them up.

Example use case: if he highlights “AI coins” this month, I’ll shortlist 2–3 names, check real traction (protocol revenue, users, partnerships), confirm no nasty token unlocks are around the corner, and cap the initial position—then reassess after the next milestone.

Posting frequency and best way to start

Uploads tend to cluster around big narratives and market inflection points. I’ve had the best experience doing this:

• Start with market outlooks to get his read on where risk sits right now.


• Watch a framework video so you understand the scoring/thesis logic before any coin talk.


• Pick one altcoin research video aligned with your interests (AI, L2s, DePIN, RWA) and run the quick workflow above.


• Set alerts and batch-watch weekly to avoid FOMO-fueled decisions.

The bottom line

My take: this channel is strong if you want structure, data flavor, and a researcher’s mindset. It’s not a magic signal—treat it as one smart input in your toolbox.

If that matches your style, subscribe with realistic expectations: use his ideas to sharpen your own process, keep risk tight, and always verify. When the hype gets loud, frameworks win.

Want more straight-shooting reviews and research tips? I post them here: cryptolinks.com. See you there.


CryptoLinks.com does not endorse, promote, or associate with youtube channels that offer or imply unrealistic returns through potentially unethical practices. Our mission remains to guide the community toward safe, informed, and ethical participation in the cryptocurrency space. We urge our readers and the wider crypto community to remain vigilant, to conduct thorough research, and to always consider the broader implications of their investment choices.