The Advanced Cryptocurrency Trading Course - With Strategies

Explore how price action shapes markets and exchanges. Learn how auction-based price discovery, order matching, and price quotes drive liquidity and arbitrage across cryptocurrency markets.

Explain how orders, order books, and time of sales determine price formation on exchanges. Learn how market and limit orders, plus the matching algorithm, reveal price action.

Learn how short selling borrows assets you don’t own to profit from price declines on crypto exchanges. Professionals balance long and short positions, using market neutral strategies to reduce risk.

Learn to spot impersonator accounts on Instagram and YouTube, identify official handles, and protect yourself by never sharing phone numbers or Bitcoin or replying to first messages.

Compare fundamental analysis and technical analysis for cryptocurrency, weighing team, roadmap, and monetization against historical price and volume to forecast future price moves.

Learn candlesticks and charting basics with trading view, including open, high, low, close and green and red candles, for technical analysis across time frames from five minutes to daily.

Explore how logarithmic scale charts reveal percentage-based price movements in cryptocurrency, using Bitcoin as a case study to compare volatile moves and assess potential profits.

Explore how trendlines and channels define uptrends, downtrends, and sideways markets, and use supports and resistances to time entries and exits with a systematic, momentum-driven technical analysis approach.

Explore chart patterns such as tops, bottoms, double bottoms, triangles, and wedges to apply supply and demand, interpret order book, and decide when to enter a position.

Explore how volume, shown as candle-based bars and time-of-sales data, drives price discovery and confirms trend shifts and breakouts.

Explore liquidity concepts across markets, comparing forex, stocks, and crypto; understand asset liquidity, order book depth, and how volume affects price impact for trading strategies.

Explore Bollinger bands, a popular mean-reverting technical indicator built from a 20-period moving average and two standard deviation bands to gauge price channels in cryptocurrency trading.

Explore how the relative strength index uses the last 14 candles to output a 0–100 value, signaling oversold or overbought with 30/70 lines, and guide entry timing within a strategy.

Learn how the average true range (atr) estimates a cryptocurrency's typical candle movement using the last 14 candles, guiding profit targets and stop losses across timeframes based on volatility.

Understand expectancy and expected value as the probability-based basis of trading, emphasizing positive expectancy and risk management. Accept losses as part of the game, aiming for a high batting average.

Distinguish systematic risk from unsystematic risk and use diversification to reduce exposure. Employ long and short positions with stop losses, and apply risk limitation techniques.

Master money management by protecting the global portfolio, preserving capital, and sizing positions to avoid large drawdowns, ensuring you can stay in the game and return to break-even.

Learn how to use position sizing to cap losses and protect capital by risking about 2% per trade, calculating position size from entry and stop-loss levels.

Highlight the shift from MGG to Bloom creating and encourage followers to update to the new social media handles and site to stay connected.

Analyze batting average and win loss ratio to assess historical performance and risk in crypto trading strategies, using an Excel sheet to compare two approaches and optimize capital allocation.

Explore the Sharpe ratio, measuring risk-adjusted returns by dividing excess returns by volatility, compare strategies and funds, and apply to crypto trading with daily data.

Master historical trade analysis to track returns by strategy, identify profitable approaches, cut losing ones, and treat trading as a business through rigorous performance analysis.

Use the provided excel sheet to calculate position sizing and track historical performance in cryptocurrency trading, with sections for sizing, performance, and metrics like return and Sharpe ratio.

Choose a strategy first, then screen the coin universe to find coins that fit that strategy, rather than trading a single coin like Bitcoin.

Compare day trading and swing trading, noting day trades close within a day while swing trades last days to months, and apply strategies or automation for those with programming knowledge.

Learn how market making, as a liquidity provider, uses buy and sell orders in the order book to profit from bid-ask spreads while navigating maker and taker fees.

Learn to select market-making coins by screening for large bid-ask spreads, cheap coins with high liquidity on Bitcoin pairs, and stable ranges, evaluating order-book depth and time-to-fill to maximize profits.

Master market making by placing buy and sell orders around the bid-ask, using flat-rate exits, one-entry-one-exit practice, and testing with small increments.

Examine triangular arbitrage in crypto: exploit price discrepancies across bitcoin, key, and yttrium by buying, converting, and selling for a profit, with fast execution and automated opportunities.

Explore advanced ways to trade this strategy by combining market making with arbitrage and triangular arbitrage, boosting win odds and reducing losses through strategy layering.

Learn to use market neutral pair trading, a mean reversion strategy that uses price ratios to create a spread by long one correlated asset and short the other.

learn to trade correlated pairs by using a ratio to go long gas and short Neil, ensuring chartability, calculating risk, and practicing with simulated trades.

Apply a market neutral momentum strategy by pairing a long and a short crypto to exploit divergence and hedge market risk.