Crypto Cred Review
Crypto Cred
www.youtube.com
CryptoCred YouTube Review Guide: Everything You Need To Know + FAQ
Ever stared at a Bitcoin chart and thought, “Can someone just explain this in a straight line so I don’t blow up my account?” If that’s you, you’re exactly the kind of learner who keeps coming back to CryptoCred’s YouTube channel.
Here’s the plan: I’ll show you what you’ll actually learn from his videos, how to turn his free content into a focused training routine, and whether this approach can realistically nudge you toward goals like “$100/day”—without the hype or gambling. My aim is simple: save you time, give you a clean path, and help you avoid the traps that wipe out new traders.
Describe problems or pain
Most crypto education isn’t education—it’s noise. One person calls a pump, another screams crash, and your feed flips opinions every four hours. You try a new indicator every week, add three “alpha” Telegrams, and suddenly your screen looks like a Christmas tree. Confidence down. Risk up.
- Too many voices, zero process: You get conflicting takes, timeframes, and “signals” that don’t line up.
- Indicator soup: Layering RSI + MACD + Ichimoku + “secret” paid tool = decision fatigue, not edge.
- Emotional trading: FOMO entries, no invalidation, and “it’ll bounce” turns into “how did I lose 40%?”
- Analysis paralysis: Hours of watching, almost no practicing. You know terms but you can’t execute.
Real talk: this is normal. The market’s designed to make you feel late at the top and brave at the bottom. Without a repeatable playbook, you’ll chase heat and forget risk.
“If your strategy depends on calling the next big move, it’s not a strategy. It’s a guess.”
What the data says:
- Regulators routinely warn that most retail traders lose money. ESMA has reported that a large majority of retail CFD accounts lose—a strong hint that risk control and process matter more than hot picks.
- Academic work on active traders (like Barber & Odean’s studies) shows that overtrading and confidence without skill hurt returns. In short: less guessing, more rules.
So if the problem is noise, the fix is clarity: a small set of concepts you can practice, journal, and repeat—across coins, timeframes, and market cycles.
Promise solution
This guide translates CryptoCred’s approach into plain English. No magic indicators—just clean rules you can apply:
- Core concepts: market structure, level selection, invalidation, and trade management.
- Best playlists: what to watch first and what to save for later, plus standout videos people rewatch.
- Practice path: how to use his free videos like a structured course so you actually build skill.
I’ll also set real expectations about “$100/day,” how long consistency takes, and the risk controls that keep you in the game. No sugarcoating, no flexing.
Who I am and why listen
I spend my days testing crypto tools, content, and communities—then pressure-testing them across different market conditions. I’ve watched hours of CryptoCred’s material through bull and bear cycles. Here’s what you’ll get from me: a practical read on what’s great, what’s missing, and how to get the most out of his channel without wasting time.
Quick note on risk and expectations
Nothing here is financial advice. Education helps, but results come from consistent practice and tight risk. If you’re chasing quick riches, you’ll skip the rules and pay for it later.
- Set invalidation first: know where you’re wrong before you click buy/sell.
- Risk small and steady: a fixed % per trade beats “all-in” bravery.
- Let the market pay you: some days are for waiting. Forcing daily income is how accounts bleed.
If you’re still here, you probably want clear, transferable skills—not drama. Good. Next up, want to see who CryptoCred is, what he actually teaches, and why so many traders trust his process?
Who is CryptoCred? What he teaches and why traders trust him
CryptoCred is that rare educator who makes charts feel less like chaos and more like a set of rules you can follow. His YouTube content centers on clean technical analysis, level selection, and disciplined trade management—the kind of fundamentals that don’t go out of style when the market flips from euphoria to fear.
“Boring is profitable when it’s repeatable.”
If you’ve ever felt overwhelmed by indicator soup or struggled to turn ideas into a plan, his approach will feel like a deep breath of fresh air.
Quick bio and track record
Cred has been teaching through multiple crypto cycles, consistently publishing long-form videos, detailed threads, and clear frameworks. He’s not a storyteller who shows you perfect hindsight; he’s a builder who gives you templates for decisions—where a level matters, what invalidates the idea, and how to manage the position if price wanders.
- Multi-cycle educator: He’s been active since the early boom-bust phases of crypto, keeping his material focused on principles that survive volatility.
- Free, structured resources: From his widely shared technical analysis PDFs to playlist-style lessons on YouTube, the content reads like a course rather than a highlight reel. You can find his channel here: CryptoCred YouTube.
- Collabs that show, not tell: Guest appearances and discussions with seasoned traders reveal how he applies rules in real time—useful if you want to see theory meet execution.
Why do traders trust him? Because he doesn’t promise certainty—he emphasizes process. Research backs this up: behavioral finance studies (Kahneman & Tversky’s work on loss aversion; Barber & Odean on overtrading) show that disciplined, rule-based decision-making tends to beat impulsive trades. Cred’s lessons push you toward that discipline.
Teaching style and values
The heart of his style is clarity. No clutter, no magic indicators, no mystique. Just repeatable steps.
- Simple charts, strong context: He sticks to clean levels and market structure. You’ll see higher highs/lows, ranges, reclaims, and failures explained in plain language.
- Invalidation first: Before any “target,” he asks: what proves this idea wrong? This forces you to size right and protects your account from one bad day turning into a bad month.
- Trade management > prediction: He talks through what to do if price pokes your level, ranges for days, or spikes and fades. The path matters more than the guess.
- Process over noise: Pre-trade checklists, journal prompts, and multi-timeframe alignment are part of the lesson—not afterthoughts.
Here’s the kind of breakdown you can expect, simplified:
- Context: “Weekly is ranging, daily trend down. We’re at a daily level that held as support before.”
- Trigger idea: “If daily closes back above the level, that’s a reclaim. If not, it’s just a bounce into resistance.”
- Invalidation: “If we close back below the level, the idea is wrong. Cut it.”
- Management: “Take partials into the next obvious level; trail stops if momentum continues.”
This is not about calling tops or bottoms. It’s about stacking small, rational decisions that compound. That focus aligns with what multiple studies suggest: simple, rule-based strategies often fare better than complex, discretionary flailing, especially when you factor in human bias.
Who this channel is for (and not for)
Let’s be honest—some people will love this approach, and some won’t.
- For you if:
- You want a structured path to learn technical analysis the right way: support/resistance, market structure, invalidation, risk.
- You’re tired of FOMO and want rules you can write down, test, and improve.
- You prefer clean charts and transferable skills over paid indicators or calls.
- Not for you if:
- You’re looking for hot picks, rapid-fire calls, or daily “signals.”
- You want entertainment. This is education—calm, methodical, and sometimes “boring.”
- You refuse to journal or set invalidation. The method depends on accountability.
There’s an emotional side to this too. If the market has ever made you feel flaky—confident one hour, lost the next—Cred’s framework gives you something solid to hold onto. When you know your level, your invalidation, and your plan for “what if I’m wrong,” you trade with a kind of quiet confidence that doesn’t need constant reassurance from Twitter or Discord.
Curious which playlists will lock in these skills fastest—and the exact order to watch them so you don’t spin your wheels? That’s up next. Ready to see the map?
Channel tour: playlists, best videos, and how to start
Open the CryptoCred YouTube channel and it feels like a clean toolbox—no fluff, just the parts that work. If you’ve ever felt overwhelmed by flashy indicators and conflicting advice, this is the map I use to turn his free content into a practical plan.
“Clarity beats complexity. Consistency beats excitement.”
The must-watch playlists
These are the foundations. Watch them, then rewatch them a week later with fresh charts open—it lands differently when you’ve practiced.
- Support & Resistance (S/R)
Why it matters: Almost every decision—entry, exit, invalidation—anchors to levels. Cred’s approach strips it to clean price interaction and context.
What to look for: Prior swing highs/lows, reclaimed levels, failed retests, and how higher timeframes “filter” noise.
Try this: Mark weekly S/R on BTC, then drill down to 4H and see which levels produce clean reactions over the last 3 months. - Market Structure
Why it matters: You’ll stop fighting trends and stop forcing trades inside chop by reading higher highs/lows, ranges, and shifts in structure.
What to look for: Trend continuation vs. failed breakouts, range edges vs. mid-range indecision, and “fake reclaim” tells.
Try this: Label HH/HL/LH/LL on a daily chart and note where structure actually changed versus where it only looked like it did. - Risk & Trade Management
Why it matters: Your PnL is the product of edge and risk. Without fixed invalidation and sizing rules, even good setups bleed out.
What to look for: Invalidation-first thinking, scaling rules, partial profits at logical targets, and when to stand down.
Try this: Take your last 10 trades and simulate them with a fixed risk per trade (e.g., 0.5%). How different is the drawdown? - Ranges & Breakouts
Why it matters: Most crypto action happens in ranges. Knowing the difference between acceptance and a trap is half the battle.
What to look for: Acceptance above/below range, mid-range flips, and the role of time spent at a level. - Trade Reviews / Live Markups
Why it matters: Seeing rules applied in context accelerates pattern recognition. You’ll pick up nuance that slides can’t capture.
Start here: beginner-friendly sequence
If you’re new or resetting your approach, this sequence builds the right mental stack. It also aligns with how people actually retain skill, not just information.
- Step 1 — Market Structure Basics
Learn trends, ranges, and what counts as a real shift. Spend 2–3 sessions tagging swings on daily and 4H charts.
Retention tip: Space your sessions. The “spacing effect” improves long-term recall and skill transfer (Kang, 2016). - Step 2 — Support/Resistance
Add levels to your structure. Mark weekly/daily first, then drop to intraday. Log which levels produced the cleanest reactions.
Drill: Screenshot before/after with your levels. Write one sentence on why each level mattered. - Step 3 — Invalidation & Risk
Practice “invalidation-first.” If the level breaks, you’re out. Size the position to the stop, not vibes.
Evidence check: Retrieval practice (testing yourself) improves performance more than rewatching videos (Roediger & Karpicke, 2006). Test yourself by writing the plan before price moves. - Step 4 — Entries, Targets, Management
Combine structure + levels + risk into a simple plan: entry, invalidation, target 1, target 2, conditions to step aside.
Pro move: Interleave setups—alternate trend and range examples—to sharpen discrimination (Rohrer & Taylor, 2007). - Step 5 — Review & Iterate
End each week with 5–10 historical trades replayed bar-by-bar. Update one rule only if it improves clarity or risk control.
For advanced traders
Already comfortable with structure and levels? Use these to sharpen execution and consistency.
- Execution Drills: Plan a trade on HTF, execute on LTF. Track slippage, partials, and whether entries happen where you said they would.
- Mean Reversion vs. Trend: Build separate rulesets. If you can’t label the regime in two sentences, you’re forcing trades.
- Multi-Timeframe Alignment: Weekly bias, daily trigger, 1H execution. If one timeframe disagrees, write the condition that fixes the conflict.
- Scaling Rules: Add only at favorable R:R after confirmation. No “averaging down” unless it’s pre-defined and your invalidation moves in your favor.
- Post-Trade Math: Record expectancy by setup. If a pattern is net negative after 30–50 samples, cut it ruthlessly.
Top collabs and guest talks
Some of the best “aha” moments come from watching frameworks applied in longer conversations and chart markups with other experienced traders.
- Roundtables/Podcasts: Look for long-form discussions where frameworks are stress-tested against recent price action. The value is hearing the “if X, then Y; if not, step aside” logic in real time.
- Live Chart Sessions: Sessions that start with HTF context, identify key levels, and then step through entries and invalidation. Pause, screenshot, write your plan, then hit play and compare.
- Q&A Segments: Note how repeat questions get the same rule-based answers. That consistency is a clue about what actually matters.
Quick way to find them: on the channel’s Videos tab, sort by “Popular” and then scan for longer runtimes (60–180 minutes). Those are gold for pattern recognition and “how to think” under uncertainty.
Watch smarter, retain more
- Note in your own words: Paraphrasing beats verbatim copying for retention (Karpicke & Blunt, 2011).
- Same-day practice: Apply a concept to 5 charts immediately. Fast feedback tightens the loop.
- One-page rule sheet: Trend, level, invalidation, risk, targets. Keep it visible while you watch and trade.
If you follow this path, the channel stops being “content” and becomes a repeatable system-building kit. Now, here’s the question that decides your progress: once you’ve watched the right videos, which core skills actually stick to your hands and show up in your PnL tomorrow morning?
What you’ll actually learn from CryptoCred (skills that stick)
Some channels entertain. This one rewires how you think. I kept coming back because the skills transfer to any chart, any timeframe, and they don’t expire when the hype cycle does.
“Plan the loss; let the profit argue its way into your account.”
Market structure and level selection
Instead of chasing candles, you’ll learn to map the battlefield—trend, range, and the levels that matter. The big unlock is learning how price accepts or rejects a level and what that implies next.
- Trends and ranges: Identify higher highs/lows (uptrend), lower highs/lows (downtrend), or a sideways box. This decides whether you look for continuation or mean reversion.
- Meaningful levels: Weekly/daily highs and lows, prior swing points, range midpoints, and clean support/resistance flips. Mark them, then wait for price to tell the story.
- Reclaims and failures: When price loses a key level and reclaims it with a strong close, that often sets the next leg. When it breaks out but can’t hold (a deviation), expect a move back through the range.
Example (hypothetical): Price trades below a well-defined weekly level, runs stops, and then closes back above on the daily. The plan: long on the next clean retest, invalidation just below the reclaim, target the range midpoint first, then the opposite boundary if momentum sticks. If the retest fails, you’re out with a small, pre-planned loss instead of a spiral.
This isn’t theory. It’s a repeatable way to structure trades without guessing. You’ll see charts kept minimal—no clutter, just levels and the behavior around them.
Risk, invalidation, and trade management
The first thing set is not the target—it’s the invalidation. If that level breaks, the idea is wrong. Period. Everything else flows from that anchor.
- Position sizing formula: size = (account × risk%) ÷ (entry − invalidation). Keep it simple and consistent.
- Example: $5,000 account, 0.5% risk per trade = $25 risk. Long at 100 with a stop at 98 means $2 risk per unit. Position size = $25 ÷ $2 = 12.5 units.
- Managing winners: Take partial profits at the first trouble area, then let the rest work if structure confirms. Move stops for structure, not for fear.
- Cutting losers fast: No “it might come back.” It might. That’s not a plan.
Why this works is backed by behavior research. The disposition effect (Shefrin & Statman, 1985) shows traders tend to cut winners too early and hold losers too long; predefined invalidation and partials attack that bias head-on. Overtrading is another silent killer—Barber & Odean (2000) found that more trades often mean worse returns. Structure and fixed risk put a leash on impulse.
Curious about stop rules? Practitioner research like Kaminski & Lo’s stop-loss study suggests rules can reduce drawdowns—exactly the point of invalidation-first trading. And if you’ve heard of Kelly sizing, you’ll see why many pros use fractional Kelly (or fixed small risk) to keep drawdowns tolerable; see Thorp’s work for context.
Systems, journaling, and routines
A setup isn’t a system until it’s documented and measured. You’ll be pushed to create rules you can follow on a sleepy Tuesday as easily as on a breakout day.
- Playbook: Name your setups (e.g., “reclaim + retest,” “deviation at range high”), define entry, invalidation, and targets. Screenshots included.
- Journal structure: Before/after screenshots, reasoning, exact levels, risk in R, emotions, and outcome. Tag by setup and market condition (trend/range).
- Expectancy math: E = (win rate × average win in R) − (loss rate × average loss in R). That number is your GPS, not your last PnL spike.
- Routines: Markets are 24/7, but you aren’t. Set a daily time block, review higher-timeframe levels, write plans, and set alerts. No plan? No trade.
There’s a reason this works outside of trading too—deliberate practice is the engine of skill. In performance research, Ericsson (1993) showed focused feedback loops beat mindless repetition. Trading journals create that loop.
Tools and setups he favors
You won’t be told to buy a magic indicator. The toolkit is clean and reliable:
- Simple charts: Candles, horizontal levels, session/HTF opens and closes. Maybe a moving average for context, but never a crutch.
- Multiple timeframes: Start on the weekly/daily for structure, refine on the 4H/1H for execution. HTF bias, LTF trigger.
- Alerts over staring: Mark the level, set alerts, come back when price is where you planned to act.
Common patterns you’ll actually use:
- Breakout → Retest (S/R Flip): Price breaks resistance, holds above on a close, retests, and continues. Invalidation just below the flip.
- Deviation/Reclaim: Price wicks above a range high, fails, and closes back inside—short toward mid-range; opposite at range low for longs.
- Trend Continuation Pullback: In an uptrend, a pullback into prior resistance-turned-support that holds on closing basis. Enter on strength back above your level.
Put together, this is a stripped-down, rules-first way to trade crypto that won’t break when volatility shifts or the narrative changes. It’s not glamorous, but it’s sticky—and it scales.
Ready to turn these ideas into a real plan you can follow for 30 days? What if you had a simple weekly checklist and a journal template that pushes you to practice instead of binge-watching? Let’s build that next.
Turn the channel into a free course: my simple, effective plan
If you’ve ever binged great trading videos and still felt stuck when the chart is blank, this is the fix. Turn CryptoCred’s content into a structured month of practice that converts “I get it” into “I can do it.”
“You do not rise to the level of your goals. You fall to the level of your systems.” — James Clear
Here’s the system. It’s practical, fast to start, and built around evidence-based learning (active recall, spaced practice, and feedback loops). You’ll watch, take notes in your own words, and immediately test yourself on charts. No fluff.
30-day learning path
Week 1: Market structure + support/resistance
- Day 1: Watch 1–2 short videos on trend and swing structure. Practice: open BTC 4H and mark higher highs/higher lows for the last 30 days. Screenshot.
- Day 2: Do the same for ETH and one alt. Label trend states: uptrend, downtrend, or range. One chart = one sentence summary.
- Day 3: Ranges and failed breaks. Practice: find 2 ranges where price faked out and returned. Mark midline, extremes, fakeout wick.
- Day 4: Support/resistance selection. Draw only the most obvious levels on the Daily, then refine on 4H. Limit to 5 lines total.
- Day 5: Multi-timeframe check. For BTC, mark a Daily level and plan how you’d act on 1H if price tags it.
- Day 6: Case study day. Pick one past move (e.g., a reclaim) and explain what made the level meaningful. 5 bullet points, max.
- Day 7: Review and rest. Rewatch one concept you struggled with. Clean your chart. Archive your screenshots.
Week 2: Invalidation + risk management
- Day 8: Invalidation first. On 3 charts, pick one setup each and define exactly where the setup is wrong. No entry until invalidation is clear.
- Day 9: Position sizing sheet. Build a basic calculator: position size = (account × risk%) ÷ (entry − invalidation). Example: account $2,000, risk 1% = $20; entry $100, invalidation $95 → stop = $5 → size = 4 units.
- Day 10: Risk per trade. Choose a fixed % (0.5%–1%). Write it down. It doesn’t change this month.
- Day 11: Daily stop. Set a daily loss limit (e.g., 2R or 2% of account). If hit, stop trading. Simulate a day where you hit it—how would you shut it down?
- Day 12: Place hypothetical stops. On historical charts, practice stop placement that respects structure (beyond the level) not your feelings.
- Day 13: R-multiples. For 5 past moves, measure if 1R, 2R, 3R was achievable. Note which structures delivered clean R.
- Day 14: Review your size and stops with fresh eyes. Were they realistic or wishful?
Week 3: Entries, exits, and trade management
- Day 15: Entry types: limit at level, breakout with close, reclaim/failure. For each, write a one-line trigger rule.
- Day 16: Manage winners. Create a default plan: take partial at 1R, move stop to breakeven when structure confirms, trail behind last swing.
- Day 17: Manage losers. Practice scratching trades early if the reason for entry disappears (e.g., level lost on close).
- Day 18: Timeframes. Practice top-down: Daily bias → 4H level → 1H trigger. Execute 3 simulated trades using bar replay on TradingView.
- Day 19: News and volatility. Pick a high-vol day. Would you skip or size down? Write the rule now, not after the fact.
- Day 20: Pattern focus. Choose one bread-and-butter setup (e.g., range reclaim). Collect 5 past examples and note the common tells.
- Day 21: Review. Which entry gave you the cleanest R with the least stress?
Week 4: Simulate, journal, and refine
- Day 22–24: Run 10 full bar-replay trades. Apply your exact rules: pre-plan, entry, stop, target, management. Journal each trade.
- Day 25: Equity curve check. If you followed your rules, what’s your R result? Ignore dollars; focus on process and R.
- Day 26: Mistake audit. Highlight only 3 recurring errors. Write a blocker rule for each (e.g., “No adding size unless planned pre-trade”).
- Day 27: System trim. Keep 1–2 setups. Drop the rest for now. Simplicity wins.
- Day 28: More reps. Another 10 bar-replay trades with the trimmed system.
- Day 29: Build your “If–Then” card. If X at level Y, then enter with risk Z and manage with rule A. Keep it visible.
- Day 30: Post-mortem. What will you change next month? One tweak only. Consistency beats constant overhaul.
Why this works: studies show active recall and testing (Roediger & Karpicke, 2006) improve retention far more than re-watching, and spaced practice (Cepeda et al., 2008) helps you keep what you learn. This plan builds both into every day.
Watch–note–practice loop
- Watch: 15–30 minutes. One concept only.
- Note: Rewrite the rules in your words. If you can’t explain it in 3 lines, you don’t own it yet.
- Practice: Same-day chart reps. Mark levels, write the plan, and compare with historical outcome.
Set a 60–90 minute block for the full loop. Research on “retrieval practice” is clear: testing yourself beats passive review for long-term skill. This is how you turn understanding into execution.
Templates that help
Pre-trade checklist
- Trend and structure: What’s the higher-timeframe context?
- Key level: Why this level? What makes it meaningful?
- Trigger: The exact candle/close/wick you need to see.
- Invalidation: The price that proves you wrong.
- Risk per trade: Fixed % and dollar amount.
- Targeting: First target at 1R or structure-based? Plan partials.
- Position size: Calculated before entry—no guessing.
- News/volatility: Any reason to skip or size down?
Risk rules card
- Fixed risk per trade (e.g., 0.75%).
- Daily stop (e.g., 2R). If hit, stop trading.
- No resizing mid-trade unless written pre-trade.
- Max 3 open positions; skip if correlation is high.
Simple journal (copy this)
- Setup name:
- HTF context:
- Entry/Stop/Target:
- Position size and risk %:
- Management actions (with time/price):
- Result in R:
- Did I follow rules? (Y/N)
- 1 lesson to apply next trade:
Example entry
- Setup: Range reclaim
- HTF: Daily range, midline respected
- Entry: $100 reclaim close; Stop: $95; Target: $110
- Risk: 1% ($20); Size: 4 units
- Mgmt: Took 50% at $105 (1R), stop to breakeven
- Result: +1.5R
- Rules: Yes
- Lesson: Wait for close above level—wicks were noisy
Weekly review prompts
- Which setup delivered the most clean R?
- Top 2 error patterns—what rule blocks them?
- Any rule creep? Cut it. Keep the system tight.
Common mistakes to avoid
- Skipping invalidation: If you can’t define where you’re wrong, you shouldn’t be in the trade. Fix: write the invalidation before size.
- Resizing mid-trade without rules: Emotional adds = account leaks. Fix: only add if a predefined condition triggers.
- Binge-watching without practice: Knowledge without reps fades fast. Fix: enforce the watch–note–practice loop.
- Overfitting indicators: Clean levels > gadget hunting. Fix: one clean chart, max two MAs if you must.
- Changing systems every week: You can’t measure edge if the target keeps moving. Fix: 50–100 trades before tweaks.
- No daily stop: One bad day can erase a month. Fix: hard daily loss limit and walk-away rule.
- No screenshots: Memory is biased. Fix: screenshot entries/exits and annotate them.
- Ignoring higher timeframe: Great 1H entries fail against Daily resistance. Fix: always start with HTF context.
You’ve got the plan. The next question on everyone’s mind is simple: if you follow this for a month, what kind of results should you expect—and is $100/day actually realistic? Let’s get honest about that next.
Results and expectations: can you make $100/day and other big questions
Can I make $100 a day from crypto?
Short answer: it’s possible, but not something you can force. The market doesn’t pay a salary. It pays when your edge meets opportunity—and that doesn’t happen every day.
Here’s how I frame it using simple expectancy math. The dollars you make = risk per trade × number of trades × your edge (expectancy). If your account is $5,000 and you risk 1% per trade ($50), you’d need an average of 2R per day to “hit” $100. That’s tough to sustain because daily results swing—some days you’ll have no setups, other days you’ll have several.
- Scenario A: $2,500 account, 1% risk ($25/trade) — You’d need ~4R/day on average. That’s aggressive and usually leads to overtrading.
- Scenario B: $10,000 account, 0.5% risk ($50/trade) — You’d need ~2R/day on average. Still volatile, and choppy markets will make this frustrating.
- Scenario C: $20,000 account, 0.5% risk ($100/trade) — One clean 1R trade can do it, but you won’t get that every single day without forcing it.
What’s smarter: aim for a steady R-based return over weeks and months, then scale size when you’re consistent. If you can average 3–6R per month with tight drawdowns, increasing position size turns the same setups into more dollars—without changing behavior.
Two realities to bake into your plan:
- Fees, funding, slippage, and spreads eat into small-window scalps. Taker fees of ~0.04–0.08% and funding every 8 hours can turn a thin edge negative if you overtrade.
- Data on day-trading consistency is sobering. Academic work (e.g., Barber, Lee, Liu, Odean; and Brazil’s CVM study) shows a very small minority achieve persistent profits. That doesn’t mean you can’t win—just that discipline and risk control matter more than “daily income” goals.
Bottom line: use CryptoCred’s process to build a repeatable edge and let the market decide when you get paid. Chasing $100 every day usually ends with revenge trades. Chasing clean 1–2R trades with set invalidation is how you eventually earn $100 days, then $200 days—without blowing up on the way.
How long until I’m consistent?
Think in months, not weeks. A practical timeline I’ve seen work: 50–100 tracked trades with one system before you tweak anything. That usually takes 2–4 months if you’re selective. Most inconsistency comes from changing rules after a handful of losses. Don’t rip up your plan until you have a real sample.
What to measure across those trades:
- R expectancy: average R per trade over a batch (e.g., 20 trades). Even a small positive expectancy compounds if risk is steady.
- Drawdown depth and recovery time: how far you dip and how fast you climb back tells you if your risk is appropriate.
- Adherence rate: the percent of trades that followed your plan to the letter. If it’s below 80%, the problem isn’t the system—it’s execution.
Tip: journal like an athlete reviews game tape. Screenshot entries/exits, tag the setup, record R, and write one lesson. If the journal shows you’re breaking rules, you don’t need a new strategy—you need fewer decisions and clearer triggers.
Risk controls that keep you alive
Here’s a compact rule set I’d stamp on every monitor:
- Hard invalidation first: define the price that proves you wrong, then size the trade. No “mental” stops.
- Fixed fractional risk: 0.25%–1% of equity per trade is a sane range while learning. Increase only after 2–3 positive months and minimal drawdown.
- Daily loss limit: 2R or 3R max. Hit it? Stop trading. Protect your mental capital.
- No-trade days: if price is between levels or your read is foggy, do nothing. Not trading is a position.
- Correlation cap: if BTC is heavy, most alts are correlated. Risk across positions should sum to your per-trade risk, not multiply it.
- Liquidity filter: trade liquid pairs only; avoid thin order books that can slip through stops.
- News and funding filter: step down risk or flat during major news; track funding/skew to avoid paying to hold dead trades.
- One change at a time: only adjust a single rule between 20-trade batches so you can isolate the impact.
Quick example with numbers:
Setup: BTC reclaims a daily level and holds on the 1H. Entry on retest.
Invalidation: 1H close back below the level (hard stop).
Risk: 0.5% of equity. Target 1.5R–2R, scale partial at 1R if momentum stalls.
Daily guardrail: if I take two -1R losses, I’m done for the day. Review journal, not charts.
This keeps you solvent long enough to learn—which is the real edge.
Want the fast, no-fluff answers to the questions everyone asks—beginner-friendly path, altcoins vs. BTC/ETH, paid signals, and the quickest way to get results from the channel? I’ve got those lined up next in a rapid-fire FAQ. Ready to see what most people overlook?
FAQ and final thoughts: quick answers, honest take
Here’s the straight-talk section. No fluff—just the answers I’d want if I were starting today, plus a few practical tips I’ve tested myself.
Who is CryptoCred?
He’s a trader and educator known for clear level selection and disciplined trade management. He teaches simple, repeatable frameworks that hold up across market cycles. If you want a short bio and links to his work, check his profile on IQ.wiki.
“Set invalidation first. Position size flows from risk, not conviction.”
Is the channel beginner-friendly?
Yes—if you’re willing to learn the basics and actually practice. You won’t get light shows or hype; you’ll get structure.
- What to do: Start with market structure and support/resistance. Then move to invalidation and risk. Keep a tiny watchlist (BTC, ETH) to reduce noise.
- Why it works: Research on learning shows that active practice + reflection beats passive watching. A Harvard study on reflection-based learning found measurable performance gains when people paused to write what they learned after practice.
Mini example: BTC is ranging. You mark 30,000 as a key level. Plan: “If price reclaims 30k and holds, I’ll look long; invalidation is a close back below 29,700; risk 0.5%.” That’s the type of simple, rules-first thinking you’ll pick up fast.
Does he cover altcoins or just BTC/ETH?
The concepts work on any liquid market. You’ll see majors most often because they’re clean and liquid. When you apply the same rules to alts, just remember:
- Liquidity matters: thinner books mean more slippage and stop hunts. Same setup, more execution risk.
- Risk matters more: for alts, consider halving position size or widening invalidation if volatility is higher.
That’s not theory—studies on retail trading show that overtrading and chasing volatile names tends to hurt results (see Barber & Odean’s work on trading frequency). Keep it boring, keep it consistent.
Does he sell courses or paid signals?
No paid signals. The core education is free on YouTube and social. The edge isn’t in “secret calls”—it’s in doing the same high-quality process over and over. If you’re tempted by tip services, remember: behavioral finance research (loss aversion, the disposition effect) shows why following others blindly often backfires. Your plan beats someone else’s hot take.
Best way to follow and learn fast
- Pick one playlist and commit to it for a week. No hopping around.
- Notes in your own words: rewrite key rules so you can apply them without the video.
- Screenshot practice: mark levels on a clean chart, write your invalidation and target, then save the “before” and “after.”
- Journal every practice trade: setup, entry, invalidation, result, and one lesson. Reflection compounds skill—there’s solid evidence that checklists and post-action reviews reduce errors in high-stakes fields.
- Weekly review: tally R, tag mistakes, and update one rule. One. Not five.
Sample journal entry: “ETH reclaim of $1,900. Invalidation: $1,880 close. Target: prior range high $1,960. Risk: 0.5%. Result: +0.8R. Lesson: waited for the close—saved me from a wick. Keep waiting for closes at key levels.”
Wrap-up and next steps
If you want clear, no-hype trading education, this is one of the best free sources out there. Keep your risk tight, keep your journal honest, and give yourself real time to get consistent. When you’re ready, head to the channel here: CryptoCred on YouTube and start with the basics today.
Nothing here is financial advice. Your results depend on your practice, risk control, and patience.
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.