More Crypto Online

More Crypto Online YouTube Review Guide: Everything You Need to Know (+ FAQ)

Ever feel like crypto YouTube pushes you into FOMO entries, then disappears when the chart turns? You’re not alone—and that’s exactly why I took a close look at More Crypto Online.

In this guide, I’ll show you what you actually get from this channel, who it’s best for, how to watch it without overtrading, and how to fold it into a simple, safe research routine.

Describe problems or pain

Most crypto channels talk loud, move fast, and leave you holding the bag. Here’s the mess I see viewers run into:

• Big calls, no process: “We’re going to the moon” one day, “bear market confirmed” the next—no clear rules for why or what invalidates the idea.


• Constant flip-flopping: Views change with every 1% move. If you follow every pivot, you end up trading noise, not trends.


• Jargon overload: Elliott Wave, Fibonacci clusters, OBs, FVGs—great tools, but useless if they’re not explained in plain English.


• No invalidations: Without a clearly stated “I’m wrong if X happens,” you can’t size risk or protect capital.


• Upload storms in volatility: Ten videos in a panic move can make you feel like you must act now. That urgency leads to mistakes.

Why this matters: research on retail behavior shows that overtrading usually hurts returns. In a well-known study, Barber and Odean found that the most active traders underperformed significantly (“Trading Is Hazardous to Your Wealth,” 2000). Another paper from the same authors linked overconfidence to worse outcomes (2001). In short: the louder the feed, the more you click—and the more you risk.

Promise solution

I’m going to keep this practical. I’ll break down how More Crypto Online communicates its method, call out what works, highlight gotchas, and give you a simple checklist so you can watch smarter and act safer. No hero trades. Just a clear way to use the content without getting wrecked.

Rule I live by: treat every video as analysis, not a signal. Notes first, trades later—if at all.

What I looked at and how I rate channels

I watched recent uploads across quiet phases and volatile weeks, sampled market updates and explainers, and took notes on consistency. Here’s how I judge a crypto YouTube channel:

• Clarity of method: Is there a repeatable framework (e.g., Elliott Wave counts, Fibonacci levels, “if this, then that” planning), or just vibes?


• Risk language: Do they use invalidation levels and talk position sizing, or only price targets?


• Consistency over time: Do they stick to a process, or pivot wildly when price wobbles?


• Outcome handling: When a scenario fails, do they explain the miss and update the roadmap?


• Educational value: Are tools explained so a motivated beginner can learn, not just copy?


• Upload rhythm: Are updates timely without causing panic? Are timestamps practical?


• Transparency: Clear on sponsors, affiliations, or paid groups? No “guaranteed” language?

For example, I look for lines like: “Bull case holds above X; below that, bear count takes over.” That single sentence gives you a plan, a boundary, and a reason to do nothing until one side confirms.

Who will get the most value

From what I’ve seen, this channel can fit cleanly into a balanced routine for a few types of viewers:

• Process-first learners: If you like structured technical analysis and want to understand why a level matters, you’ll feel at home.


• Beginners: If you’re new and want to build a simple playbook—support/resistance, invalidation, patience—the format helps you learn by example.


• Swing traders: If you plan entries around retracements and confirmations, scenario mapping can help with timing.


• Long-term holders: If you DCA but still want a sense of bigger trend shifts, the framework can help you avoid obvious trap weeks.

Quick mental picture: think “if this, then that” instead of “this is definitely happening.” A good video should leave you with two or three clear scenarios, the invalidation points, and what to watch next. That’s the kind of clarity that reduces overtrading and FOMO.

Ready to see what the channel actually focuses on—topics, coins, and how the uploads are structured so you can jump straight to what you need? Let’s look at that next.

What is “More Crypto Online”? Channel snapshot

More Crypto Online focuses on practical crypto technical analysis you can follow on a chart—not hype. Expect Elliott Wave counts, clear Fibonacci zones, and scenario maps that spell out “what next” across Bitcoin, Ethereum, and a rotating set of altcoins. It’s the kind of channel where levels, invalidations, and contingencies matter.

“Plan the trade. Trade the plan.”

That ethos runs through the content. The videos typically outline a primary path and an alternative path, with invalidation markers so you know when a view is wrong. That structure helps reduce knee-jerk trading—something research has shown can hurt results when emotions take over.

Core topics and coins covered

The coverage centers on the major pairs and cycles through strong movers when the market wakes up.

• Anchors: Bitcoin (BTC) and Ethereum (ETH) get the most consistent updates—trend structure, key retracements (38.2%, 50%, 61.8%), and likely paths.


• Rotating altcoins: ADA, XRP, SOL, MATIC, AVAX, LINK, and similar names often appear when volume and headlines pick up. If a coin forms a clean five-wave advance or a sharp corrective structure, it usually gets a focused update.


• Method explainers: Occasional videos unpack Elliott Wave basics (impulse vs. corrective), Fibonacci confluence, and how invalidation lines are chosen on multiple timeframes.

Typical example: BTC pushes up in five waves on the 4H, then the channel outlines the next pullback window (say, 0.5–0.618 retrace) with a tight invalidation. If price respects it, the roadmap stays on; if it breaks, the alternative scenario steps in. It’s systematic and sets expectations ahead of time.

Upload rhythm and video types

Uploads ramp with volatility, and the format mix makes it easy to keep pace without watching every second.

• Quick market updates: Shorter clips zero in on “must-hold” levels and overnight risk, handy if you just need the line in the sand before a session opens.


• Coin-specific snapshots: Focused videos for BTC/ETH and whichever altcoins are active that week, with scenario A vs. scenario B clearly mapped.


• Roadmap sessions: Longer walkthroughs tie multiple timeframes together—weekly context down to 1H/4H execution—so you see how the puzzle fits.


• Timestamps: Most uploads include chapter markers, so you can jump straight to your coin and the timeframe you care about.

During quiet stretches, there are fewer uploads and more “bigger picture” pieces. When the market speeds up, you’ll see more frequent updates as key levels approach or break.

Who it’s built for

If you prefer structure over story, you’ll feel at home.

• Rule-first thinkers: You like “if this, then that” planning and want a clean invalidation to control risk.


• Swing traders: You want context for entries and scale-outs, not a lottery ticket call.


• Learners: You’re building a framework and appreciate seeing the same method applied across different coins and cycles.


• Long-term planners: You care about where the bigger trend might shift and how to time DCA windows with more confidence.

I’ve found that this format supports disciplined decision-making. Even outside Elliott Wave, the practice of marking scenarios and invalidations aligns with what countless trading studies suggest: structure reduces bias and helps avoid the overtrading trap.

Curious how to actually use these videos without getting chopped up when scenarios switch? In the next section, I’ll show the smart way to watch—and the key watch-outs most people miss.

Strengths, weak spots, and how to watch it the smart way

I like channels that respect risk and show their work. This one does. The charts are clean, the scenarios are mapped, and the invalidation levels are visible so you’re not guessing where you’re wrong. That alone helps cut the emotional “hope and hold” behavior that wrecks a lot of traders.

“Don’t focus on making money; focus on protecting what you have.” — Paul Tudor Jones

What I like

Structured TA that’s actually usable. Elliott Wave counts paired with Fibonacci clusters create a simple “if this, then that” framework. For example, if Bitcoin sits in a likely wave-4 range, the video will often outline the invalidation for wave-5 continuation and the backup scenario if it fails. That gives you decision points, not vibes.

• Clear invalidations: Seeing where a scenario dies keeps you from marrying a bias. If the level breaks, move on.


• Multiple roadmaps: Bull and bear paths are shown side by side. You’re not stuck with one “to the moon” line.


• Time stamps and rhythm: Quick BTC/ETH levels when markets move fast, deeper context when things cool down.


• Education baked in: You pick up rules (e.g., wave 4 can’t overlap wave 1 in an impulse) just by watching.

Real-world example: Say ETH is chopping beneath a 0.618 retrace after a strong move up. A video might highlight two scenarios: (1) push through the golden pocket with a follow-through target at the prior high; (2) rejection into a deeper 0.5–0.382 pullback with invalidation noted at a level like 2,880. That’s practical: you can set alerts, not opinions.

Watch-outs

Elliott Wave is powerful, but it’s not a crystal ball. Counts can be subjective and need updating. That’s not a flaw—it’s how markets work—but it means you should never treat a single clip as a trade signal.

• Subjectivity risk: Two analysts can label waves differently. Use confluence (RSI, EMAs, structure) to reduce false reads.


• Timeframe whiplash: A bullish micro count can sit inside a bearish higher timeframe. Know which one you’re trading.


• Altcoin liquidity: Levels that look clean on a chart can slip 2–4% on entry/exit when volume is thin.


• Fast scenario flips: When invalidation hits, the roadmap changes quickly. If you don’t have alerts, you’ll be late.

Why this matters: Overconfidence and overtrading are account killers. One well-cited study (Barber & Odean, 2000) showed frequent traders dramatically underperform—largely because confidence isn’t a strategy. Keep your activity tied to confirmations, not excitement.

My “smart viewer” checklist

This is the exact flow I use so I get the most value from the channel without getting reckless.

• Set alerts at invalidation and confirmation levels: If BTC breaks above the 0.618 with strong volume, alert. If it loses the invalidation, alert. No alert, no action.


• Demand confluence: I want 2–3 green lights before I touch anything:
  
  
  
  • Price above key EMA (e.g., 20/50 on the 4H) or holding a clean trendline
  
  
  • Volume expansion or OBV confirming the move
  
  
  • Funding/oi not blowing out (avoid crowded longs on breakouts)
  
  
  • Fibonacci/structure agreement with the scenario
  
  
  
  


• Check catalysts: I scan news and on-chain before entries. A CPI print, ETF headline, or big unlock can invalidate a perfect chart in minutes.


• Size with risk first: I pick a hard invalidation and size so I lose a fixed % of capital if it’s hit (often 0.5–1%). ATR-based distance helps set realistic stops.


• Scale in/out: I split entries (e.g., 40/30/30) and take partials into strength or weakness. Reduces regret and FOMO.


• Write the plan: One sentence: “Long only if we reclaim X with volume; stop at Y; targets A/B; size 0.7R.” Behavioral research on implementation intentions (Gollwitzer) shows written plans improve follow-through.


• Respect the alternate: Keep the opposite scenario’s invalidation and target on your screen. It fights confirmation bias.


• Don’t trade every video: Most updates are information, not orders. As Atul Gawande’s checklist work suggests, reducing decisions to a checklist lowers error rates—use the plan, or pass.

Quick case study scenario: BTC ranges under resistance. The video highlights a reclaim of the range high with invalidation just under the mid-line. I set two alerts: one for the reclaim on strong volume, one for a sweep-and-reject. Funding is neutral, OI stable. If the reclaim alert fires with volume and a strong 4H close, I take a partial entry, stop a tick under invalidation, target prior high; if the sweep fires, I skip longs and plan for a mean-reversion short back to the EQ—but only if the higher timeframe downtrend is still intact. No alert, no trade.

One last thing—markets run on emotion. The videos cut through that with structure, but it’s on us to use that structure well. Are you using these scenarios to make your own plan, or are you still hunting for someone else’s trade? Up next, I’ll break down how to tailor this to your experience level so you know exactly how to use it whether you’re brand new, intermediate, or just trying to time long-term buys.

Is it right for you? Quick guidance by user type

Use More Crypto Online as a tool that matches your goals, not a shortcut to someone else’s trade. I’ve seen too many smart people get whipsawed simply because they watched the right video at the wrong moment without a plan.

“Markets punish hope and ego. Process protects you.”

Beginner starter plan

If you’re new, the goal isn’t to get rich this month—it’s to build habits that keep you in the game long enough to learn. The channel’s structured scenarios help, but only if you pair them with basic risk skills.

7-day starter routine

• Day 1–2: Watch the channel’s educational explainers first. Pause often, note terms like support/resistance, invalidation, impulse vs. correction.


• Day 3: Set up a paper trading account (free on most charting platforms). No real money yet.


• Day 4: Pick just two assets (BTC and ETH). Add key levels from the latest video to your chart.


• Day 5: Place one paper trade with a hard stop below your invalidation. Log the idea and the stop in a simple journal.


• Day 6: Replay the video, ask: did price behave within the scenarios? Adjust your plan, not your impulse.


• Day 7: Review. If you broke your rules, lower size or simplify. If you followed rules, keep them.

How much to risk per idea

• Keep risk per trade at 0.5–1% of your account while learning.


• Position size formula: Position = (Account × Risk%) ÷ (Entry − Stop). Example: $2,000 × 1% = $20 risk. If your stop is 5% away, your position ≈ $400.


• Use ATR or the most recent swing low/high for stops so your invalidation isn’t random.

Why this works

• Research shows frequent trading hurts performance for inexperienced traders (Barber & Odean). Paper trading and small, rule-based bets cut that risk.


• Pre-committing to rules reduces impulsive actions (implementation intentions; Gollwitzer). Write the rule, follow the rule.

Pro tip: Watch on 1.25x speed with timestamps, screenshot key charts, and set alerts at invalidation/confirmation levels so you’re not glued to the screen.

Intermediate trader workflow

Already comfortable with charts? Use the channel’s scenario mapping to frame bias, then demand confluence before you act.

My confluence stack

• Structure: 4h/1h market structure shift or break of trendline that aligns with the video’s primary scenario.


• Momentum: RSI reclaiming 50 on the 4h or bullish/bearish EMA (20/50/200) cross behavior.


• Liquidity/context: Funding and OI reset, or volume confirmation at key Fibonacci levels mentioned in the video.

Pre-trade checklist

• At least 2–3 signals line up with the scenario I’m betting on.


• Clear invalidation on the chart (not in my head) with an alert set.


• Risk–reward at least 2:1. With a 40% win rate, that still yields positive expectancy.


• Size via formula, not “feel.” If the stop is wide, reduce size. No exceptions.


• Partial take-profits at logical areas (prior highs, 0.618 Fib, or range edges), then trail the rest.

Example workflow (generic)

• The video lays out a bullish continuation path with invalidation below the prior higher low.


• Price breaks structure on the 1h, RSI > 50, funding normalizes after a cluster of longs.


• I enter on retest, stop below the invalidation wick, first TP at the prior high, second at the 1.618 extension.


• If invalidation hits, I stand down and wait for the alternate scenario the channel outlined.

Edge reminder: Expectancy = (Win% × Avg Win) − (Loss% × Avg Loss). Protecting the loss side with tight, logical invalidations is half the game.

Long-term holder angle

Not every video needs a trade. If you’re investing over years, use updates to time your DCA and spot trend shifts—then ignore the day-to-day noise.

Simple long-term playbook

• Core DCA: Buy on a fixed schedule (weekly or monthly) regardless of headlines.


• Adaptive adds: When the channel flags a major corrective area or higher-timeframe trend resumption, add a modest extra tranche.


• Guardrails: If the invalidation for the macro trend breaks, pause adds and wait for the next structure to confirm.


• Cold storage: Move long-term holds off exchanges. Security > convenience.


• Rebalance: If one coin inflates past your target allocation, trim into strength and rotate back to plan.

What the research says

• Historical studies show lump sum often beats DCA on returns, but DCA reduces volatility and regret, which helps real humans stick to the plan (Vanguard).


• That’s why I like a core DCA approach with small, rules-based adds around clearly defined higher-timeframe levels from the videos.

Example guardrail: If weekly structure shifts to lower lows and the channel’s macro invalidation is broken, I stop adding and wait for a fresh higher low to form. No catching falling knives.

One last thing before you act on any plan: are you sure the source you’re watching deserves that trust? In the next section, I’ll show you exactly how I test transparency, sponsorships, and track records so you can separate real signal from rent-a-guru noise. Ready to see the red flags I watch for—and the green ones too?

Trust signals and transparency

“It takes 20 years to build a reputation and five minutes to ruin it.” — Warren Buffett

Trust in crypto YouTube shouldn’t be a feeling; it should be a checklist. Here’s how I evaluate a channel’s credibility, what I look for on every video page, and how you can audit claims without needing a PhD in charting.

Monetization and conflicts

Money flows matter. I want to know who’s paying, how, and whether that might sway opinions. When I watch a crypto channel, I scan for:

• Clear sponsor labels: Look for the “Includes paid promotion” tag in the top-left of the video player and explicit lines like “This video is sponsored by…” in the description. YouTube’s own policy requires the disclosure if there’s paid promotion: YouTube Paid Promotion Policy.


• Affiliate transparency: If there are links to exchanges or hardware wallets, I expect a sentence like “Some links are affiliates; I may earn a commission at no extra cost to you.” This aligns with the FTC’s Endorsement Guides on disclosures.


• No “guarantees” or crazy multipliers: Phrases like “guaranteed profits,” “risk-free,” or “1000x soon” are a hard pass. Those promises aren’t just unrealistic—they’re red flags for conflicts over content quality.


• Balanced risk language around derivatives: If futures or leverage links appear (Bybit, Bitget, etc.), I look for a clear risk warning. No warning? That’s a trust penalty.

A quick check you can run on any video:

• Is the “Paid promotion” disclosure present when a brand is mentioned?


• Do links have clear labels (affiliate vs. non-affiliate)?


• Is there a standard disclaimer like “This is not financial advice” and does it appear in voice and in text?

Why I care about this so much: research consistently shows that clear, upfront sponsorship disclosures increase perceived credibility and reduce harmful misunderstandings. The FTC literally says disclosures must be “hard to miss.” If a channel makes me hunt for them, I treat that as a signal in itself.

Track record and accountability

Anyone can make a bold call. Fewer people log outcomes with the same energy they used to make them. I prefer channels that emphasize invalidation levels and return to them later—even when the market didn’t cooperate.

Here’s my simple audit you can copy:

• Save three recent calls with their invalidation levels (timestamp where they said it). Add the price and date to a tiny spreadsheet.


• Revisit in 1–2 weeks: Did price hit the invalidation? If yes, was it acknowledged in a follow-up? If no, did they explain what held and why?


• Look for relabels with reasons: If the method uses scenario mapping (like Elliott Wave), counts can change. That’s fine—if the creator explains the change, the trigger, and what they learned.


• Scan pinned comments and descriptions: Some creators add edits like “Update: invalidation triggered at $X, watching $Y next.” That’s a strong accountability signal.

A healthy pattern you want to see:

• Calls framed as scenarios (“if A, then B; invalid if C”).


• Consistent reminders of risk and position sizing.


• Post-analysis when a plan fails, not just victory laps when it works.

I’ve found this simple approach dramatically reduces hindsight bias. It also filters out channels that only celebrate wins while quietly ignoring misses.

Community and tone

The comments and community tab tell you almost as much as the video:

• Education first: Are viewers asking process questions (“Where’s your invalidation?”) and getting thoughtful answers? Or is it “wen moon” and “what should I buy today?” nonstop?


• Respectful pushback: Does the creator handle criticism with data and humility, or with sarcasm and bans? Accountability sounds like “You’re right—this is where the plan changed.”


• Scam warnings: Impersonators target crypto channels. I expect regular reminders like “I will never DM you for money or ask you to send crypto.”


• External pressure: If a channel plugs paid groups, I want boundaries: no guarantee language, refunds/terms are clear, and the community rules stress risk management.

Tone matters because it sets your trading psychology. Calm, rules-based creators reduce FOMO. Hype-heavy channels increase churn, which studies associate with worse trading outcomes. You’ll feel the difference in your PnL and your stress levels.

A quick “trust thermometer” I use when I’m scanning a new video:

• 5/5: Clear disclosures, invalidations upfront, scenario planning, measured tone, accountability in follow-ups.


• 3/5: Disclaimers present but vague, some wins highlighted, fewer post-mortems, occasional hype.


• 1/5: No disclosures, guaranteed language, cherry-picked wins, personal attacks in comments, constant sale pitches.

If you’re wondering how to put this into a broader research routine—so one channel can’t sway you on its own—you’ll like what’s next. Want a balanced stack that blends TA, macro, and on-chain so you’re never stuck in an echo chamber?

How it compares and where to round out your research

One channel can be a great anchor, but it’s not a full research stack. I like to pair structured TA with macro context, on-chain data, and clean news flow. That combo keeps me from tunnel vision and cuts down on knee-jerk trades.

One voice is an opinion. A small stack of independent signals is a plan.

YouTube alternatives and complements

Here’s how I balance scenario-driven TA with other angles so I see the same market through different lenses.

• TA education (rules and risk): CryptoCred – crisp lessons on support/resistance, market structure, and trade planning. Great for sharpening the “if-then” mindset so you don’t treat any single video as a signal.


• Cycle + macro context: Benjamin Cowen – talks through cycles, liquidity, and rate regimes. When he’s cautious while a TA chart shows a breakout, I slow down and look for confluence.


• On-chain lens: Glassnode – Weekly on-chain reads (exchange flows, realized profits, cohort behavior). If a price rally lines up with rising realized profits and falling exchange balances, that’s stronger than price alone.


• Fundamental explainers: Coin Bureau – helpful for token mechanics, roadmap updates, and regulatory narratives that can invalidate or turbocharge a TA setup.

Real example of how I mesh these: if a Bitcoin roadmap highlights a key Fibonacci retracement, I’ll check on-chain for exchange net position change (are coins leaving exchanges?), scan funding rates and open interest for froth, and then peek at macro calendars. If everything screams “one-sided,” I’ll reduce size or wait for a cleaner confirmation. That simple step has saved me from FOMO more times than I can count.

There’s also research showing that acting less but with better signals improves outcomes. Barber and Odean famously found that frequent traders underperform because they react too much to noise (“Trading Is Hazardous to Your Wealth”). A blended watchlist like the one above helps cut that noise.

News and research sites I rate

TA setups react to catalysts. I cross-check levels with a quick headline scan so I’m not blindsided by a listing, an ETF filing, or a regulatory ruling:

• CoinDesk – tends to be early on market-structure stories and policy moves.


• Cointelegraph – broad coverage, decent for catching altcoin-specific updates.


• BeInCrypto – quick headlines and explainers when markets are moving fast.


• Decrypt – accessible summaries, useful for non-technical catalyst check-ins.

How I use this in practice: if I see an ETH breakout setting up, I scan those hubs for SEC/ETF chatter, L2 launches, or major liquidity unlocks. A good TA level with a fresh catalyst is a different trade than a level with nothing behind it.

Tools and resources worth a look

These tools pair nicely with scenario-driven charting and make your plan more objective.

• Charting and alerts: TradingView – build watchlists, set alerts at invalidation/confirmation levels, and keep screenshots of your plan.


• Derivatives and positioning: CoinGlass – funding rates, open interest, long/short ratio, liquidation heatmaps. Great sanity check for crowded trades.


• On-chain dashboards: Glassnode Studio, CryptoQuant, IntoTheBlock – exchange flows, realized profits, and holder cohorts to validate or question a TA bias.


• Project tracking and fundamentals: Messari – profiles, screeners, and theses that complement a price-first approach.


• Event calendar: CoinMarketCal – protocol upgrades, listings, unlocks. I tag events that sit near major levels so I’m not surprised by volatility.


• Sizing and risk: ATR-based position sizing to keep risk constant across trades, even when volatility changes.

Want a simple one-page checklist that ties all of this together so you know exactly what to do before your next trade? Keep reading—next up I’ll share the quick plan I use myself and answer the questions I get the most.

FAQ: Your top questions answered + a quick checklist

How to know what crypto to buy for beginners?

If you’re new, keep it simple: start with BTC and ETH. They have the deepest liquidity, broadest coverage, and the most educational material for learning market structure. As you learn, you can add tiny “learning positions” in 1–2 large-cap alts you actually understand.

Here’s how I approach it:

• Core first: 70–90% in BTC/ETH while you learn how trends, pullbacks, and invalidations work.


• Small experiments: 5–20% in majors/large caps you’ve researched (clear use case, strong liquidity, active devs).


• Micro plays: 0–5% for high-risk tokens you treat as tuition—because sometimes they are.


• Hard invalidations: Use the prior swing low/high on your timeframe as a line in the sand. If price closes beyond it, you were wrong—exit and move on.

When watching chart videos, treat scenarios as education and planning tools, not buy/sell signals. I only act when my own criteria align with a scenario and my invalidation is crystal clear.

How much to invest in crypto per month?

Consistent and small beats sporadic and large. Many beginners pick 1–2% of investable capital monthly, or a fixed amount like $50–$100, and automate it. That’s dollar-cost averaging (DCA). It helps remove FOMO and fear from the process.

If you want data behind this, investor behavior research repeatedly shows timing mistakes crush returns. The classic example: DALBAR’s QAIB finds that emotional timing leads typical investors to underperform their own assets. A steady plan helps. For Bitcoin-specific DCA, you can play with the LookIntoBitcoin DCA tool to see how regular buys would have behaved over different periods.

Bonus tip: Review quarterly. If your plan says $100/mo and you stuck to it, great. If you caught yourself adding “just a little extra” after big green candles, tighten your rules. Overtrading hurts—see Barber & Odean’s “Trading Is Hazardous to Your Wealth” (SSRN).

What is the best crypto information site?

No single site has it all. I split it into lanes:

• News pulse: CoinDesk, Cointelegraph, BeInCrypto, Decrypt.


• Primary sources: Project docs, GitHub, governance forums, and official announcements.


• Education and tools: Charting platforms, on-chain dashboards, and scenario-focused YouTube like the one we discussed—all cross-checked against your own notes.

I like to see the same story from different angles: headlines, charts, and original docs. If those three don’t rhyme, I wait.

What is the best crypto guide on YouTube?

It depends on your style. If you like structured technical analysis, scenario mapping, and clear invalidations, the channel we covered is a strong pick. I balance it with creators who focus on macro, security, and risk so I’m not trading in a bubble. The key isn’t a “best” channel—it’s a balanced stack that keeps you grounded.

Quick one-page plan you can follow today

• 1) Define your goal: Investor (multi-year) or trader (weeks/days)? Write it down.


• 2) Set a monthly budget: Fixed amount you can truly afford to lose (e.g., $50–$100). Automate it.


• 3) Keep a simple allocation: Core (BTC/ETH) + small, capped experiments. Rebalance quarterly.


• 4) Use scenarios, not signals: When a video maps paths, only act if it aligns with your plan and the invalidation is obvious.


• 5) Place alerts, not hopes: Set price alerts at invalidation/confirmation levels. No alert, no action.


• 6) Position sizing formula: Decide $ you’re willing to lose on a trade, then size by distance to stop. Example: risking $50 with a 5% stop implies a $1,000 position.


• 7) Demand confluence: Enter only if 2–3 factors agree (e.g., key level + momentum shift + scenario alignment).


• 8) Journal every move: Entry, thesis, invalidation, target. You remember what you write; you forget what you feel.


• 9) Review weekly: Wins/losses vs. plan. Cut what isn’t working. Keep what is.


• 10) Protect headspace: Disable notifications that make you chase. Hype is expensive.

Plan the trade; trade the plan. No plan? No trade.

Final take

Use structured TA to map possibilities, not to outsource decisions. Keep your core in BTC/ETH while you learn, automate a small monthly buy, cap your experiments, and make invalidation your best friend. The steady, boring habits—alerts, journals, and reviews—are what keep you in the game long enough to benefit from the big moves.

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.