AlgoTrading A thorough investigation into Cost Averaging 01

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AlgoTrading A thorough investigation into Cost Averaging 01
Published 6/2026
Created by Joy D Moyo, Latvian Trading Solutions
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 10 Lectures ( 3h 22m ) | Size: 2.5 GB
Master fixed distance cost averaging: lot sizing, scaling, and precise exit strategies.

What you'll learn
Master fixed distance cost averaging using same, linear, and exponential lot sizing algorithms.
Program dynamic breakeven exits that incorporate specific pip targets and fixed monetary profit.
Deploy advanced exits combining breakeven, trailing stop losses, and partial closures of winners.
Construct conservative and aggressive interval scaling models to carefully manage trade drawdowns.
Requirements
Basics on Algorithmic trading
Description
If you are looking to build robust algorithmic trading systems, mastering how your algorithms scale into positions during drawdowns is critical. This comprehensive course provides an exhaustive look into one of the most powerful and heavily utilized recovery mechanics in automated trading: cost averaging. Specifically, we will take a deep, analytical dive into how to architect cost averaging strategies based on a fixed distance.
This course strips away the fluff and focuses entirely on the mechanical, mathematical, and logical frameworks required to program and optimize grid and recovery systems.
Core Lot Sizing Strategies
In this curriculum, you will explore the foundation and practical application of various lot size scaling models. We will rigorously examine how to manage risk and recovery by testing
Same Lotsize Cost Averaging: The baseline approach for steady, predictable scaling without increasing exposure per trade.
Linear Lotsize Increase: Scaling your positions using a standard linear multiplier to systematically average down.
Conservative Linear Interval of 3: A modified approach that increases lot sizes cautiously in intervals of three.
Aggressive Linear Interval of 3: A more accelerated linear scaling model designed for rapid recovery.
Exponential Lotsize Increase: Utilizing exponential growth for rapid cost-basis reduction.
Conservative and Aggressive Exponential Intervals: Nuanced exponential models that increase lot sizes at intervals of three to carefully balance drawdown and recovery speeds.
Advanced Algorithmic Exit Strategies
A scaling strategy is only as effective as its exit protocol. For every single lot sizing model discussed above, you will learn how to implement five highly specific dynamic exit methodologies. You will learn how to program your systems to
Execute a pure exit at breakeven to escape complex drawdowns without taking a loss.
Combine an exit at breakeven with a predetermined profit target measured in pips.
Design an exit at breakeven plus a specific monetary amount profit to meet strict equity goals.
Enhance your exit at breakeven by utilizing a trailing stop loss to capture extended market momentum.
Implement a highly advanced exit at breakeven that triggers a partial close of your biggest winning positions while simultaneously trailing the stop loss for the remaining volume.
Who is this course for?
Whether you are an intermediate algorithmic trader looking to refine your Expert Advisors (EAs), or a quantitative analyst aiming to understand the exact mechanics associated with grid systems, this course gives you the blueprints. By isolating these scaling mechanics on a fixed distance, you will gain a pure understanding of how lot manipulation and dynamic exits impact your overall equity curve. Enroll today to elevate how your trading algorithms handle market volatility!
Who this course is for
Programmers building Expert Advisors in languages like MQL5 who need the precise mathematical logic and architectural frameworks to program robust scaling and recovery mechanics into their bots.
System developers and strategy testers looking to accurately model the impact of linear versus exponential lot multipliers on a portfolio's equity curve, margin Requirements, and drawdown limits.
Traders who currently utilize grid or recovery bots but want to look under the hood to deeply understand the mechanics of fixed distance intervals and dynamic breakeven exits to better optimize their inputs.
Technical traders who want to move beyond basic stop losses and learn how to mathematically engineer their way out of losing positions using controlled, formulaic cost averaging.
Homepage

https://www.udemy.com/course/algotrading-a-thorough-investigation-into-cost-averaging-01

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