In this week's episode of Trading Talk, we explore how a three moving average trading strategy can help identify market trends, filter sideways conditions and define specific opportunities for long and short trades.
In Trading Talk Episode 434, Tom demonstrates how to add a compounding function to trading algorithms, automatically adjusting lot sizes and take profit targets based on account balance.
In Trading Talk Episode 433, we explore multi-timeframe trading, combining higher timeframe entries with lower timeframe confirmation using moving averages and customisable signals.
In Trading Talk Episode 432, we explore how to manage long and short algorithmic trading strategies independently using separate profit and loss targets.
In Episode 431 of Trading Talk, Tom explores how separate profit and loss targets can be applied to long and short strategies operating inside the same trading model.
In Trading Talk Episode 430, Tom demonstrates how to build a pseudo-random trade function and use it as a strategy stress-testing tool.
In Trading Talk Episode 430, Tom demonstrates how to build a pseudo-random trade function and use it as a strategy stress-testing tool.
Episode 428 adapts the Gaussian Kernel model using simplified entries, sideways-market filtering and kernel-based trade management.
In Trading Talk Episode 427, we continue our Gaussian Kernel Bollinger Band series and build the complete model inside the platform.
In Episode 426, Tom covers daily, weekly and monthly levels, kernel scoring, Bollinger Band entries and simple trend blockers designed to create more structured trading conditions.
