ULTIMATE Cryptocurrency Trading Course (From Beginner To PRO)

Summary

Brad Goh presents a beginner-to-advanced overview of crypto trading, covering market mechanics, asset selection, technical setups, risk controls, and deliberate practice. His central message is to prioritize survival and consistency over quick profits: avoid hype and FOMO, use a defined system, and scale only when performance data supports it.

Market structure and crypto assets

The video describes crypto as a blockchain-based system for digital money and ownership, with transactions recorded publicly on-chain. It contrasts this with trading on centralized exchanges, where account balances are held in an exchange’s private database and carry counterparty risk.

Goh groups crypto assets into three broad categories:

• Core assets and infrastructure: Bitcoin (BTC), Ethereum (ETH), layer-1 networks such as Solana (SOL) and Avalanche (AVAX), layer-2 networks such as Arbitrum, Optimism, Base, and Polygon, and stablecoins USDT and USDC.
• Functional tokens: DeFi and exchange tokens, including Uniswap and a likely reference to Aave; infrastructure tokens such as Chainlink, Cosmos, Polkadot, and Filecoin; exchange token BNB; and payment-network tokens XRP and XLM.
• Speculative or narrative-led assets: Gaming and metaverse tokens, AI tokens, privacy coin Monero (XMR), and memecoins such as Dogecoin (DOGE), Shiba Inu (SHIB), and Pepe (PEPE).

He says beginners should generally start with BTC and ETH, moving toward more volatile assets only as their skills develop. He describes memecoins as highly speculative and warns that they can lose value rapidly.

Market drivers discussed include supply and demand, liquidity pools and stop orders, market makers, leverage-related liquidations, trading volume, attention, and crypto market cycles. Goh says altcoins often follow Bitcoin’s direction and advises checking BTC’s price action before trading other coins.

He distinguishes on-chain activity—publicly visible transactions and wallet flows—from off-chain exchange trading, which requires trusting the exchange. He cites FTX, Celsius, and BlockFi as examples of crypto-company failures.

Trading frameworks and methodology

Coin-selection checklist

1. Check whether the token has a plausible use case and a credible team.
2. Review on-chain activity and user adoption.
3. Check trading volume and liquidity, including whether entries and exits can be executed without excessive slippage.
4. Avoid relying solely on social-media hype or influencer promotion.
5. For trade timing, assess the trend, liquidity, volatility, Bitcoin’s direction, and whether the asset’s narrative is attracting attention.

Three technical setups

Trend pullback

1. Identify the trend from market structure—for example, higher highs and higher lows in an uptrend. Goh prefers a candle close beyond a prior swing point to confirm a break of structure.
2. Mark relevant supply or demand zones and wait for price to pull back to a zone aligned with the trend.
3. Look for a liquidity sweep before entry. Place the stop beyond the zone or relevant swing and set a planned reward target. Examples use 2R–3R.

Breakout and retest

1. Avoid trading inside a consolidation; mark its high and low.
2. Wait for a strong momentum candle to break out, preferably in the higher-time-frame trend direction.
3. Identify the resulting imbalance and wait for price to retest it rather than chasing the breakout. The example targets about 2R, with a deeper retracement toward the imbalance midpoint also discussed.

Liquidity-sweep reversal

1. Establish which side—buyers or sellers—is controlling market structure.
2. Mark a trend-aligned zone where price has swept liquidity, such as stops beneath equal lows.
3. Wait for price to return to the zone before entering. Set a stop based on the invalidation point and plan a 2R–3R target.

Goh says he may attempt a trade idea twice, while acknowledging that no trader can know with certainty which sweep will be the final one.

Trading system and review process

Define entry triggers, stop-loss and take-profit levels before entering. The stop should mark where the trade thesis is invalidated, rather than a level chosen based on discomfort.

Keep a trade journal with screenshots and notes on what was observed before, during, and after each trade. Log emotions such as fear, greed, and FOMO. Goh recommends reviewing 100 trades to evaluate a strategy, rather than judging it after only a few outcomes.

His “5 R” review cadence is:

• Record daily
• Review weekly
• Reflect monthly
• Refine quarterly
• Reassess goals annually

He recommends making small plan changes and retesting them instead of frequently replacing a strategy.

Risk management and practical guidance

• Suggested risk is generally 0.5%–2% of account capital per trade. Elsewhere, Goh says a 1%–2% maximum, so his guidance varies within that range.
• He recommends limiting activity to one to three trades per day and avoiding revenge trading or trading while emotionally unsettled.
• He cautions against excessive leverage, particularly 20x and higher. In his platform walkthrough, he recommends that beginners start with spot trading and, if they later use leverage, stay around 1x–3x while learning.
• On derivatives, he explains cross margin versus isolated margin and recommends isolated margin for beginners. He says liquidation is calculated from the mark price, not merely the last traded price, and describes funding rates, open interest, volume, and the order book.
• For crypto custody and transfers, he advises against leaving long-term holdings on an exchange, recommends a hardware wallet such as Ledger, and urges users to test deposits with a small amount and double-check wallet addresses and networks.
• He distinguishes investing from trading: investing involves holding assets for longer periods, while trading requires planned entries and exits. For beginners, he suggests considering BTC and ETH as an investment base, giving 10% of a paycheck as an example, while learning to trade separately. This is presented as general guidance, not a personalized allocation.
• For speculative assets, he suggests limiting exposure to money one can afford to lose—giving 10% or less as one example and later mentioning 1%, 5%, or 10% as possible discretionary allocations. He warns against using rent, emergency funds, student-loan money, or other funds the trader cannot afford to lose.

90-day learning plan

• Days 1–30: Learn the exchange and charts, practice on demo, build a journal, and document trades and emotions. The focus is learning, not profit.
• Days 30–60: If ready, trade a small live account—he gives $100 or $500 as examples—and collect evidence on whether rules are being followed. Refine execution rather than constantly switching strategies.
• Days 60–90: Focus on one coin and one setup, build consistency, and scale only when a profitable track record and data justify doing so. Goh says the goal after 90 days is competence, not wealth.

Key numbers and claims

Goh says he has traded for nearly seven years and claims more than $1.5 million in trading profits “this year,” a 65.4% win rate, and an average 4.16R result-to-risk figure. He illustrates this as risking $10,000 to aim for about $41,000. These are the presenter’s self-reported figures and are not independently verified in the subtitles.

He says that in the prior 40 days he bought about $350,000 of BTC and ETH and held $100,000 in Coinbase stock, describing the combined exposure as roughly half a million dollars.

He also claims to have helped students become six-figure funded traders within 6–12 months. This is an unverified presenter claim.

Large figures such as Bitcoin reaching $200,000 or $1 million are cited as examples of hype or predictions Goh criticizes, not as forecasts or recommendations.

Disclosures and cautions

The presenter says he is not trying to sell a course, promote a memecoin, or accept exchange sponsorships, and says he has declined large promotional offers. The subtitles do not include a clear formal “not financial advice” disclaimer.

His profit, win-rate, student-outcome, and holdings statements should be treated as self-reported claims, not audited performance. He also points viewers to EdgeFlo and a free educational playlist.

Presenters and sources

• Presenter: Brad Goh
• Sources and services mentioned: Coinbase, Binance, Ledger, Bread Trade (his second channel), EdgeFlo, and his free Market Mechanics/trading-course playlist
• Other named references: FTX, Celsius, BlockFi, Mark Twain, and Bruce Lee