Kabelo Frans Mampa
Kabelo Frans Mampa
1.7 (7)
  • 信息
3 年
经验
7
产品
98
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0
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0
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A little bit about me, I started my trading journey in 2017. Back then, I was into binary options and deriv.com, which had a different name. I became familiar with MetaTrader in 2018 and moved to forex trading. I started to find my love for programming in 2016 when I was 14, but I only began to build my knowledge in MQL4 from YouTube in 2020. During the lockdown, I was learning and practicing consistently, but I wasn't very good in the beginning. In my first year of college in 2021, I was improving while I was studying Software Development. I built a simple Bollinger bands mean reversion martingale expert advisor, and many other concepts back then, but I just didn't understand how to optimize any of them. Fast forward to 2023, I jumped to MQL5, and it was intimidating, but I learned a lot quicker due to my previous knowledge of MQL4, and I was very intrigued with the economic calendar that MQL5 provided. So I decided to build an Expert Advisor based on News trading, and it was a major learning curve for me. I learnt a lot about how time works in trading and around the world in general, because trading is global. Time offsets and DSTs were my hardest obstacles at the time, but I built the Expert Advisor in 2024 and wrote some articles about it and the approach I took, which are not perfect looking back. But I made profits in my live account using fundamentals, but the consistency wasn't there. I now believe that fundamental trading can work, but maybe not as the main and sole strategy for your trading. I'm now focused on trend trading using linear regression to form trendlines and price action, and forming my own strategies from the ground up, but taking inspiration from others and my experiences. My educational background includes programming, cloud engineering, and data analysis.
Kabelo Frans Mampa 已发布产品

GOLD Dynamics Pro A regression-based trend structure system for XAUUSD Overview GOLD Dynamics Pro reads gold's price action the way a technical analyst would, by mapping out trend structure across recent, mid-term, and longer price ranges, then measuring where price sits relative to that structure before entering a trade. Instead of reacting to a single moving average cross or oscillator signal, the EA builds a picture of the broader trend using regression-based trendlines drawn across highs

Kabelo Frans Mampa
已发布文章Monochronic Trading (Part 1): How to Detect Broker Timezone and DST in MQL5
Monochronic Trading (Part 1): How to Detect Broker Timezone and DST in MQL5

We describe an MQL5 framework that aligns entries with session rhythms and scheduled clock events. A script identifies the broker's time zone and DST by detecting NFP spikes on EURUSD and matching them to EU/US/AU transition dates, producing EA‑ready settings. Session-to-broker time conversion and 15-minute marks constrain execution. A multi‑timeframe AMA signal aggregates trends for strategy selection and optimization.

Kabelo Frans Mampa
已发布文章让新闻交易轻松上手(第六部分):执行交易(3)
让新闻交易轻松上手(第六部分):执行交易(3)

在本文中,将实现基于新闻事件ID对单个新闻事件进行新闻筛选。此外,还将对先前的SQL查询进行改进,以提供更多信息或减少查询运行时间。另外,还将使前几篇文章中构建的代码具备实际功能。

Kabelo Frans Mampa
已发布文章让新闻交易轻松上手(第五部分):执行交易(2)
让新闻交易轻松上手(第五部分):执行交易(2)

本文将扩展交易管理类,以包含用于交易新闻事件的买入止损(buy-stop)和卖出止损(sell-stop)订单,并为这些订单添加过期时间限制,以防止隔夜交易。在EA中嵌入一个滑点函数,以尝试防止或最小化在交易中使用止损订单时可能发生的滑点,特别是在新闻事件期间。

Kabelo Frans Mampa
已发布文章让新闻交易轻松上手(第4部分):性能增强
让新闻交易轻松上手(第4部分):性能增强

本文将深入探讨改进EA在策略测试器中运行时间的方法,通过编写代码将新闻事件时间按小时分类。在指定的小时段内将访问这些新闻事件。这样确保了EA能够在高波动性和低波动性环境中高效管理事件驱动的交易。

Kabelo Frans Mampa
已发布文章让新闻交易轻松上手(第3部分):执行交易
让新闻交易轻松上手(第3部分):执行交易

在本文中,我们的新闻交易EA将根据存储在数据库中的经济日历开始交易。此外,我们将改进EA的图表,以显示更多关于即将到来的经济日历事件的相关信息。

Kabelo Frans Mampa
已发布文章让新闻交易轻松上手(第二部分):风险管理
让新闻交易轻松上手(第二部分):风险管理

在本文,我们将把继承引入到我们之前的代码和新代码中。我们将引入一种新的数据库设计以提高效率。此外,还将创建一个风险管理类来处理容量计算。

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