Advanced Technical Analysis for Stock, Forex, Crypto Trading

Explore the Ichimoku cloud, its five lines, and how the cloud (Kumo) defines trend and projected support and resistance, using crossovers and leading spans to confirm uptrends or downtrends.

Bollinger bands use a middle moving average with upper and lower bands set by standard deviations, adapting to volatility. Breakouts beyond the bands require confirmation from RSI, MACD, or OBV.

Learn how Heikin Ashi candles smooth price action by averaging open, high, low, and close, signaling uptrends with hollow or green candles and downtrends with red candles.

Time segmented volume (TSV) signals accumulation or distribution via zero-line crossovers, and reveals price and TSV divergences that hint at potential tops and bottoms.

Explore Fibonacci retracement lines and levels to identify potential support and resistance from high to low, and understand how extensions project future price targets.

Explore wedges in price charts, including rising and falling wedges formed by converging trend lines. Analyze volume cues, apex convergence, and setting take-profit and stop-loss levels for potential breakouts.

Explore how the Elliott Wave Theory uses impulse and corrective waves, including five-wave patterns and A-B-C corrections. Learn rules for wave counts, diagonals, truncations, and trading applications.

Explore the island reversal pattern on daily charts, where two gaps on either side separate a trading cluster, signaling potential bullish or bearish reversals and often not filled.

Identify Wolfe waves, five-wave patterns signaling bullish or bearish trends and breakouts from a support-resistance channel. Use symmetry and the 1-to-4 line to set targets for long or short trades.

Identify the Gartley harmonic pattern using Fibonacci ratios, with an impulsive move followed by two pullbacks (A, B, C, D), and use stop-loss at X with targets at D.

Explore double bottom and double top patterns, including W-shaped reversals, support and neckline breaks, profit targets, and volume confirmation for bullish and bearish setups.

Identify market risk as systemic risk affecting the whole market, not eliminable by diversification, and learn hedging and key risk types like interest rate, currency, and commodity risk.

Explore negative correlation, where one asset rises as another falls, and use the correlation coefficient to build a diversified portfolio that reduces risk across assets, sectors, and geographies.

Learn how hedging uses derivatives like options and futures to offset losses, with married puts, forward contracts, and index hedges, considering premiums and time decay.

Identify, analyze, and mitigate uncertainty in investment decisions with risk management strategies, emphasizing diversification, asset allocation, and measures like standard deviation, beta, and alpha to balance risk and return.

Develop a disciplined trading plan and backtest ideas with historical data before risking real money. Protect capital, use stop losses, and treat trading as a business.

Identify common biases and psychological errors that affect trading. Stick to a solid, objective plan, refine exit criteria, and consider automating strategies with scripts like pi script.

Study loss aversion and its effect on investor behavior, including the disposition effect and risk, then apply strategic asset allocation, rebalancing, and factor investing to manage bias.

Explore backtesting and automation of trading strategies using paper trading to test accuracy around 60%, reduce emotion, and implement rules with Pine Script and automated orders.

Rewatch any lectures for free to reinforce your learning, and contact me for trading help or to automate your training strategy.