<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[XHBdz]]></title><description><![CDATA[XHBdz]]></description><link>https://www.xhbdz.com/blog</link><generator>RSS for Node</generator><lastBuildDate>Fri, 14 Aug 2026 11:53:16 GMT</lastBuildDate><atom:link href="https://www.xhbdz.com/blog-feed.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[Lesson 1: Introduction to Quantitative Trading]]></title><description><![CDATA[From Market Ideas to Rule-Based, Testable Trading Systems Quantitative trading is a structured way of making trading decisions using explicit rules, data and measurable evidence. Instead of relying only on judgement in the moment, a quantitative approach asks whether a market idea can be defined clearly enough to test, repeat and, in some cases, automate. This does not mean that every quantitative strategy is complex or driven by artificial intelligence. A simple rule based on price,...]]></description><link>https://www.xhbdz.com/post/lesson-1-introduction-to-quantitative-trading</link><guid isPermaLink="false">6a7df276d791ff6850b50e84</guid><category><![CDATA[Quantitative Trading]]></category><pubDate>Thu, 13 Aug 2026 16:41:53 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/fa27c3_4df59236010e4164a6cdf0c1ce8f51fe~mv2.png/v1/fit/w_1000,h_703,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Kitty Liu</dc:creator></item><item><title><![CDATA[Lesson 2: From Trading Idea to Trading Algorithm]]></title><description><![CDATA[How to Turn a Market Hypothesis into Clear, Testable and Automatable Rules Every trading algorithm begins before any code is written. It starts with an observation about market behaviour and a question: can that observation be expressed clearly enough for the same decision to be made repeatedly? This lesson focuses on the bridge between an informal trading idea and an algorithmic specification. The objective is not to teach a particular profitable strategy, but to show how vague concepts can...]]></description><link>https://www.xhbdz.com/post/lesson-2-from-trading-idea-to-trading-algorithm</link><guid isPermaLink="false">6a7df47f9eafd9eb8e5a1f2a</guid><category><![CDATA[Quantitative Trading]]></category><pubDate>Wed, 12 Aug 2026 16:49:34 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/fa27c3_9a759699ec534ccfbb5947a2b03423f2~mv2.png/v1/fit/w_1000,h_703,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Kitty Liu</dc:creator></item><item><title><![CDATA[Lesson 3: Building a Reliable MT5 Research Environment]]></title><description><![CDATA[Platform, Demo Account and Execution Setup for Quantitative Strategy Testing Before a quantitative strategy can be tested properly, the research environment needs to be understood. A trading algorithm does not operate in isolation: market data, account specifications, platform settings, server connection and execution rules all influence what the program can observe and how it can act. This lesson uses MetaTrader 5 (MT5) as a practical example. The objective is not to select a particular...]]></description><link>https://www.xhbdz.com/post/lesson-3-building-a-reliable-mt5-research-environment</link><guid isPermaLink="false">6a7df5e69eafd9eb8e5a221e</guid><category><![CDATA[Quantitative Trading]]></category><pubDate>Tue, 11 Aug 2026 16:55:08 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/fa27c3_2f1483eaf767443e87e5e274303119d9~mv2.jpeg/v1/fit/w_1000,h_857,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Kitty Liu</dc:creator></item><item><title><![CDATA[Lesson 4: Connecting Expert Advisors to MT5]]></title><description><![CDATA[Using Expert Advisors on MetaTrader 5: A Practical Setup Guide Automated trading is no longer limited to institutional trading desks. Modern platforms such as MetaTrader 5 (MT5) give individual users access to tools that can monitor markets, apply predefined rules and automate selected parts of the trading process. MT5 combines charting and order execution with an integrated environment for algorithmic trading. Through MQL5, its native programming language, users can build or run custom...]]></description><link>https://www.xhbdz.com/post/lesson-4-connecting-expert-advisors-to-mt5</link><guid isPermaLink="false">6a7e203dd791ff6850b56aa9</guid><category><![CDATA[Quantitative Trading]]></category><pubDate>Mon, 10 Aug 2026 19:56:50 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/fa27c3_0276c821deb0444d92164dd776acc20c~mv2.jpeg/v1/fit/w_1000,h_857,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Kitty Liu</dc:creator></item><item><title><![CDATA[Lesson 5: Understanding Backtesting]]></title><description><![CDATA[How to Test a Trading Strategy on Historical Data Without Fooling Yourself Backtesting is the process of applying predefined trading rules to historical market data to estimate how those rules would have behaved in the past. It is one of the most useful tools in quantitative research because it allows a strategy idea to be challenged before real capital is exposed. A backtest is not a time machine, and it is not proof of future profitability. Its value depends on the quality of the rules,...]]></description><link>https://www.xhbdz.com/post/lesson-5-understanding-backtesting</link><guid isPermaLink="false">6a7e21cdcae5bb2ffa108002</guid><category><![CDATA[Quantitative Trading]]></category><pubDate>Sun, 09 Aug 2026 20:03:15 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/fa27c3_2dbed9720fb34513bdccbaa3d263c529~mv2.png/v1/fit/w_1000,h_703,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Kitty Liu</dc:creator></item><item><title><![CDATA[Lesson 6: How to Evaluate a Trading Strategy]]></title><description><![CDATA[Looking Beyond Profit to Understand Risk, Consistency and Robustness A profitable backtest is only the beginning of strategy evaluation. The more important question is how that result was produced: how much risk was taken, how consistent the outcomes were, whether the result depends on a small number of trades, and whether the behaviour remains credible when assumptions or market conditions change. This lesson introduces a practical framework for reading strategy statistics together rather...]]></description><link>https://www.xhbdz.com/post/lesson-6-how-to-evaluate-a-trading-strategy</link><guid isPermaLink="false">6a7e2340cae5bb2ffa108307</guid><category><![CDATA[Quantitative Trading]]></category><pubDate>Sat, 08 Aug 2026 20:08:54 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/fa27c3_a57a700c8f0241a5a7833bd31511e029~mv2.png/v1/fit/w_1000,h_612,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Kitty Liu</dc:creator></item><item><title><![CDATA[Lesson 7: Overfitting — Why a Great Backtest Can Fail]]></title><description><![CDATA[Understanding Curve Fitting, Data Snooping and the Difference Between Historical Fit and Robustness A backtest can look exceptionally strong and still provide weak evidence about the future. One of the main reasons is overfitting: the strategy has been shaped so closely around the historical sample that it captures noise, coincidences or temporary relationships rather than a pattern that can generalise. Overfitting is especially important in quantitative trading because computers make it easy...]]></description><link>https://www.xhbdz.com/post/lesson-7-overfitting-why-a-great-backtest-can-fail</link><guid isPermaLink="false">6a7e2474d791ff6850b5741d</guid><category><![CDATA[Quantitative Trading]]></category><pubDate>Fri, 07 Aug 2026 20:13:22 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/fa27c3_eeabc2f1ded74361973ddb7183af6f6f~mv2.png/v1/fit/w_1000,h_757,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Kitty Liu</dc:creator></item><item><title><![CDATA[Understanding the Basic Concepts of Trading]]></title><description><![CDATA[Trading Fundamentals | Beginner Course Before learning how to analyse charts, identify market trends, or use technical indicators, it is important to understand how a trading account works. Terms such as leverage, margin, equity, spread, commission, and swap appear frequently on trading platforms. Understanding these concepts provides a foundation for later lessons in technical analysis and risk management. In this lesson: Leverage • Margin &#38; Free Margin • Balance &#38; Equity • Spread •...]]></description><link>https://www.xhbdz.com/post/understanding-the-basic-concepts-of-trading</link><guid isPermaLink="false">6a7ddb31cae5bb2ffa0fed47</guid><category><![CDATA[Technical Analysis]]></category><pubDate>Thu, 06 Aug 2026 15:14:07 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/fa27c3_33f68ebbed054bf7b7fbad7b545b2080~mv2.png/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Kitty Liu</dc:creator></item><item><title><![CDATA[Understanding Financial Markets]]></title><description><![CDATA[Forex, CFDs, Futures &#38; the Stock Market | Beginner Course Financial markets provide the infrastructure through which currencies, shares, derivatives and other financial instruments are exchanged. Before moving into technical analysis, it is useful to understand the main markets, how they operate, and the terminology commonly used when discussing them. In this lesson: Foreign Exchange • Currency Pairs • Pips &#38; Points • Lot Sizes • CFDs • Futures • Stock Markets 1. What Are Financial Markets?...]]></description><link>https://www.xhbdz.com/post/understanding-financial-markets</link><guid isPermaLink="false">6a7de269d249a633b9d67054</guid><category><![CDATA[Technical Analysis]]></category><pubDate>Wed, 05 Aug 2026 15:35:30 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/fa27c3_f71980983b9e4d0d9646b3b5fdfed8a3~mv2.png/v1/fit/w_827,h_410,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Kitty Liu</dc:creator></item><item><title><![CDATA[Fundamental Analysis for Forex]]></title><description><![CDATA[Understanding the Economic Forces Behind Currency Markets Currency prices do not move only because of chart patterns. They also respond to changes in economic expectations, central-bank policy, inflation, growth, employment and political decisions. Fundamental analysis is the process of studying these broader forces to understand why demand for one currency may strengthen or weaken relative to another. Key themes: Interest Rates • Inflation • GDP • Housing • Employment • Government &#38; Central...]]></description><link>https://www.xhbdz.com/post/understanding-fundamental-analysis</link><guid isPermaLink="false">6a7de50daaa4bd07042477db</guid><category><![CDATA[Technical Analysis]]></category><pubDate>Tue, 04 Aug 2026 15:48:34 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/fa27c3_74e4abfcecc74c8c87ab17c37ef7490e~mv2.png/v1/fit/w_983,h_337,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Kitty Liu</dc:creator></item><item><title><![CDATA[Technical Analysis and Price Action: Part 1]]></title><description><![CDATA[Reading Charts, Key Levels and Market Structure Technical analysis studies how price behaves on a chart. Instead of treating every movement as random, traders use historical price data to identify trends, recurring reaction areas and changes in market structure. This first lesson builds the foundation: chart types, OHLC data, support and resistance, and trend lines. Part 1: Technical Analysis • Price Action • Chart Types • OHLC • Support &#38; Resistance • Trend Lines 1. Technical Analysis and...]]></description><link>https://www.xhbdz.com/post/technical-analysis-and-price-action-part-1</link><guid isPermaLink="false">6a7de7a4aaa4bd0704247d16</guid><category><![CDATA[Technical Analysis]]></category><pubDate>Mon, 03 Aug 2026 15:53:57 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/fa27c3_c8fe20d412d44d9b818598383cc6cd1a~mv2.png/v1/fit/w_1000,h_519,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Kitty Liu</dc:creator></item><item><title><![CDATA[Technical Analysis and Price Action: Part 2]]></title><description><![CDATA[Continuation, Reversal, Candlesticks and Chart Patterns Once chart structure and key levels are understood, the next step is learning how traders interpret recurring price formations. This lesson focuses on continuation and reversal behaviour, Japanese candlestick patterns and larger chart patterns. Part 2: Continuation vs Reversal • Candlestick Patterns • Double Tops/Bottoms • Head &#38; Shoulders • Wedges • Flags • Triangles 1. Continuation vs Reversal A continuation pattern forms when price...]]></description><link>https://www.xhbdz.com/post/technical-analysis-and-price-action-part-2</link><guid isPermaLink="false">6a7de8e2d791ff6850b4fab8</guid><category><![CDATA[Technical Analysis]]></category><pubDate>Sun, 02 Aug 2026 15:58:46 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/fa27c3_a6bfee98f0cd46f591cc2ca6d0e9f769~mv2.png/v1/fit/w_1000,h_555,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Kitty Liu</dc:creator></item><item><title><![CDATA[A Practical Framework for Technical Indicators]]></title><description><![CDATA[How to Read Trend, Volatility, Momentum and Volume Without Overcomplicating the Chart Indicators are most useful when they help answer a specific market question. A moving average can clarify direction; Bollinger Bands can show how volatility is changing; RSI and MACD can reveal shifts in momentum; and volume-based tools can help assess participation. The purpose of this lesson is not to memorise a collection of signals. It is to learn how different indicators fit into a structured analysis...]]></description><link>https://www.xhbdz.com/post/a-practical-framework-for-technical-indicators</link><guid isPermaLink="false">6a7dea7daaa4bd0704248270</guid><category><![CDATA[Technical Analysis]]></category><pubDate>Sat, 01 Aug 2026 16:07:54 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/fa27c3_ab48087fbdfc43fbb8c32ec89d885a22~mv2.png/v1/fit/w_1000,h_741,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Kitty Liu</dc:creator></item><item><title><![CDATA[Fibonacci Tools in Technical Analysis]]></title><description><![CDATA[A Practical Guide to Retracements, Extensions, Time and Confluence Fibonacci tools are used to organise a price swing into proportional reference areas. Rather than treating those percentages as automatic trading signals, this lesson focuses on a more practical question: how can Fibonacci help us structure a pullback, project possible continuation areas and combine several pieces of technical evidence? Measure the swing → map reference areas → observe the reaction → look for confirmation...]]></description><link>https://www.xhbdz.com/post/fibonacci-tools-in-technical-analysis</link><guid isPermaLink="false">6a7decf69eafd9eb8e5a0f18</guid><category><![CDATA[Technical Analysis]]></category><pubDate>Fri, 31 Jul 2026 16:18:02 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/fa27c3_ab0a15514e034ea58e71274c3cdf6a3e~mv2.png/v1/fit/w_1000,h_683,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Kitty Liu</dc:creator></item><item><title><![CDATA[Elliott Wave Theory]]></title><description><![CDATA[A Practical Guide to Wave Structure, Corrections, Fibonacci and Momentum Confirmation Elliott Wave Theory is a framework for interpreting recurring market structures. The course describes markets as moving through impulsive phases in the direction of a larger trend and corrective phases against it, with the same broad patterns appearing at different degrees or timeframes. Structure first → validate the count → compare Fibonacci → check momentum → keep alternative scenarios Original...]]></description><link>https://www.xhbdz.com/post/elliott-wave-theory</link><guid isPermaLink="false">6a7dee70cae5bb2ffa10169a</guid><category><![CDATA[Technical Analysis]]></category><pubDate>Thu, 30 Jul 2026 16:25:47 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/fa27c3_cd164b5aeaa24ae19fbad15981819d41~mv2.png/v1/fit/w_1000,h_664,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Kitty Liu</dc:creator></item><item><title><![CDATA[Risk Management in Trading]]></title><description><![CDATA[Position Sizing, Risk-to-Reward, Stop Losses, Scaling and Hedging Risk management is the part of a trading process that defines how much capital is exposed, where a trade should be exited if the idea is wrong, how potential reward compares with risk, and how exposure can be adjusted as a position develops. Original illustration: the five core risk-management topics covered in the source course. The objective is not to remove risk. It is to define, control and review it before risk becomes...]]></description><link>https://www.xhbdz.com/post/risk-management-in-trading</link><guid isPermaLink="false">6a7df0849eafd9eb8e5a1702</guid><category><![CDATA[Technical Analysis]]></category><pubDate>Wed, 29 Jul 2026 16:33:21 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/fa27c3_cf4e9eaff9004e888e08e236d53630ec~mv2.png/v1/fit/w_1000,h_683,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Kitty Liu</dc:creator></item></channel></rss>