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AI-LIENS (1) Bot Mogul Member 博智贸谷 (5,900B)
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- الوصف
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- المراجعات
123
AI GEN Section 1: Introduction
AI GEN Section 2: Backtesting & Optimization
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2.1 المقدمة مقدمة في MT4 وMT5 نبتون -
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2.2 تحديث ميتاتريدر 4 (MT4) في عام 2024
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2.3 تحديث ميتاتريدر 5 (MT5) نبتون
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2.4 منصات ميتاتريدر 4 (MT4) و ميتاتريدر 5 (MT5)
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2.5 بيانات التاريخ في MetaTrader 4 (MT4) وMetaTrader 5 (MT5)
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2.6 الإصدار من EA في MetaTrader والترجمة
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2.7 تحديث لبيانات التاريخ في MetaTrader 4 (MT4)
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2.8 خطوة BackTest في MetaTrader 4 (MT4)
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2.9 خطوة BackTest في MetaTrader 5 (MT5)
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2.10 قاعدة بيانات التاريخ في MetaTrader 4 (MT4)
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2.11 تحديث بيانات التاريخ في MetaTrader 5 (MT5)
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2.12 تحديث في MetaTrader 4 (MT4)
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2.13 تحديث في MetaTrader 5 (MT5)
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2.14 خطوة تحسين السير للأمام في MetaTrader 5 (MT5)
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2.15 دقيقة تحسين EA MACD EMA
AI GEN Section 3: Advance Fxdreema EA by Jobot
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3.1 EA FXDreema 1
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3.2 EA FXDreema 2
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3.3 EA FXDreema 3
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3.4 EA FXDreema 4
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3.5 EA FXDreema 5
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3.6 EA FXDreema 6
4.6 ตัวอย่าง EA FXDreema 6
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3.7 EA FXDreema 7
4.7 ตัวอย่าง EA FXDreema 7
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3.8 EA FXDreema 8
4.8 ตัวอย่าง EA FXDreema 8
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3.9 EA FXDreema 9
3.9 ตัวอย่าง EA FXDreema 9
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3.10 EA FXDreema 10
3.10 ตัวอย่าง EA FXDreema 10
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3.11 EA FXDreema 11 MooDeng
3.11 EA FXDreema 11 MooDeng
Jobot Invest
AI - LIENS : 交易机器人开发 (Bot Development)
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1.1 开发交易机器人，掌握算法交易和自动化交易系统 Develop trading bots by mastering algorithmic trading and automated systems.
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1.2.1 学习MQL4和MQL5编程，用于创建Expert Advisor (EA) Learn MQL4 programming for creating Expert Advisors (EAs).
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1.2 .2 学习MQL5 编程，用于创建Expert Advisor (EA) Learn MQL5 programming for creating Expert Advisors (EAs).
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1.3.1 使用MetaTrader 4 (MT4) Utilize MetaTrader 4 (MT4)
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1.3.2 使用 MetaTrader 5 (MT5) Utilize MetaTrader 5 (MT5).
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1.4.1 整合API并开发Python、C++ Integrate APIs and develop Python, C++,
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1.4.2 整合API并开发Python、C#交易机器人 Integrate APIs and develop Python, C# trading bots.
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1.5 进行回测和实时测试交易策略 Perform backtesting and forward testing of trading strategies.
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1.6 探索强化学习和深度学习在交易中的应用 Explore reinforcement learning and deep learning in trading.
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1.7 创建基于投资组合的交易机器人 Create portfolio-based trading bots.
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1.8 自动化策略并开发交易仪表板 Automate strategies and develop trading dashboards.
2. 交易策略 (Trading Strategies)
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2.1 学习剥头皮、趋势跟随、马丁格尔等策略 Learn strategies like scalping, trend following, and martingale.
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2.2 探索对冲和套利交易策略 Explore hedging and arbitrage trading strategies.
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2.3 理解高频交易 (HFT) 和统计套利 Understand high-frequency trading (HFT) and statistical arbitrage.
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2.4 学习Delta对冲策略 Learn Delta hedging strategies.
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2.5 掌握期权、期货、外汇和加密货币的交易策略 Master trading strategies for options, futures
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2.6 学习DCA (美元成本平均) 策略 Learn DCA (Dollar Cost Averaging) strategy.
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2.7 优化风险收益比并提高盈利能力 Optimize risk-reward ratios and enhance profitability.
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2.8 开发多资产交易策略 Develop multi-asset trading strategies.
3. 投资组合管理 (Portfolio Management)
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3.1 学习投资组合多样化和优化方法 Learn portfolio diversification and optimization methods.
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3.2 学习风险管理和资本分配策略 Learn risk management and capital allocation strategies.
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3.3 进行资产相关性分析 Perform asset correlation analysis.
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3.4.1 学习投资组合再平衡和蒙特卡罗模拟 Learn portfolio rebalancing and Monte Carlo simulation.
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3.4.2 学习投资组合再平衡和蒙特卡罗模拟 Learn portfolio rebalancing and Monte Carlo simulation.
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3.5 进行定量投资组合分析 Perform quantitative portfolio analysis.
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3.6 计算绩效指标，包括夏普比率和索提诺比率 Calculate performance metrics, including Sharpe ratio and Sortino ratio.
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3.7 学习最大回撤和收益因子分析 Learn max drawdown and profit factor analysis.
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3.8 研究Alpha和Beta分析方法 Study Alpha and Beta analysis methods.
4. 统计分析 (Statistical Analysis)
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4.1 学习统计方法在交易中的应用 Learn statistical methods in trading.
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4.2.1 探索概率分布和数据可视化技术 Explore probability distributions and data visualization techniques.
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4.2.2 探索概率分布和数据可视化技术 Explore probability distributions and data visualization techniques.
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4.3.1 学习回归和时间序列分析 Learn regression and time series analysis.
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4.3.2 学习回归和时间序列分析 Learn regression and time series analysis.
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4.4 研究相关性和协方差在交易中的应用 Study correlation and covariance in trading.
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4.5.1 学习贝叶斯推断和假设检验 Learn Bayesian inference and hypothesis testing.
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4.5.2 学习贝叶斯推断和假设检验 Learn Bayesian inference and hypothesis testing.
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4.6.1 进行描述性统计和预测建模 Perform descriptive statistics and predictive modeling.
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4.6.2 进行描述性统计和预测建模 Perform descriptive statistics and predictive modeling.
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4.7 探索聚类分析在交易中的应用 Explore clustering analysis in trading.
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4.8 学习主成分分析 (PCA) 技术 Learn Principal Component Analysis (PCA) techniques.
5. 技术整合 (Technology Integration)
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5.1 学习如何通过API构建高效交易平台 Learn to build efficient trading platforms through APIs
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5.2 实现FIX协议集成 Implement FIX protocol integration.
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5.3 学习如何使用网络爬虫获取交易数据 Learn to use web scraping for trading data.
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5.4 使用实时市场数据源优化交易决策 Use real-time market data feeds to optimize trading decisions.
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5.5 学习云计算在交易中的应用 Learn cloud computing applications in trading.
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5.6 使用Docker和Kubernetes构建交易系统 Use Docker and Kubernetes to build trading systems.
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5.7 实现CI/CD用于交易机器人开发 Implement CI/CD for trading bot development.
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5.8 构建低延迟交易基础架构 Build low-latency trading infrastructure.
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Course details
مدة
24
المحاضرات
92
فيديو
24
مستوى
Beginner
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