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Free Download Backtest Wizard - Flagship Trading Course with High-Speed Links The Backtest Wizard course is designed for beginner to intermediate traders who want to understand and apply backtesting techniques to develop profitable trading strategies. It primarily focuses on systematic trading, allowing parti[beeep]nts to avoid emotional decision-making. The course uses Python-based tools to build, test, and refine trading strategies, which appeals to tech-savvy traders and those willing to learn coding fundamentals. The course content is well-organized into modules, each focusing on specific aspects of backtesting and systematic trading. Introduction to Systematic Trading: The course begins with an overview of systematic trading, emphasizing its importance in eliminating emotional bias. It introduces concepts like trading edges, probability, and risk management. Python Basics for Trading: For those without prior coding experience, this section simplifies Python, focusing on its application in trading. While it is comprehensive, some users with coding knowledge may find this section a bit slow. Backtesting Essentials: This module is the heart of the course, guiding users through data sourcing, strategy implementation, and evaluating performance. It includes practical examples of creating backtest systems for common strategies like moving averages and breakout trades. Advanced Backtesting Techniques: Topics like walk-forward optimization, Monte Carlo simulations, and out-of-sample testing are explored. These advanced techniques are explained in a digestible manner, with real-world examples making the content engaging. Practical Case Studies: The course includes case studies where users replicate strategies from scratch, enabling hands-on learning. This section is a highlight, as it demonstrates the practical application of theoretical knowledge. The Backtest Wizard - Flagship Trading Course is a well-rounded program that delivers on its promises. While it requires a significant time investment and some technical aptitude, it equips learners with the skills needed to design and optimize robust trading strategies. If you're serious about systematic trading and backtesting, this course is a worthwhile investment. However, complete beginners may need supplementary resources to fully grasp the concepts. Conclusion: With Flagship Trading Course, Backtest Wizard delivers a step-by-step framework for creating and refining winning trading strategies. By implementing the techniques covered in this course, traders can enhance their decision-making process, minimize risks, and maximize profitability. Download now and take your trading skills to the next level with professional backtesting methods! DOWNLOAD NOW: Backtest Wizard - Flagship Trading Course Download Fileaxa https://fileaxa.com/2gjkke3o9rv5/Backtest__Wizard__Flagship__Trading__Course__DOWNLOAD.rar TakeFile https://takefile.link/0aez5pt55lxs/Backtest__Wizard__Flagship__Trading__Course__DOWNLOAD.rar.html Rapidgator https://rg.to/folder/7975396/BacktestWizardFlagshipTradingCourseDOWNLOAD.html Fikper Free Download https://fikper.com/D5joM8HpKz/Backtest__Wizard__Flagship__Trading__Course__DOWNLOAD.rar.html No Password - Links are Interchangeable

Free Download Design, Backtest and Run your Binance Trading Bot on GCP Published 9/2024 Created by Antonio de Jesus Campos Rodriguez MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 74 Lectures ( 5h 21m ) | Size: 2.62 GB Create a trading strategy using Binance API and Python. Backtest and run it 24/7 on Google Cloud Platform What you'll learn: How to execute Market Orders and OCO Orders using Binance API Combine technical indicators to build a trading strategy Backtest your trading strategy to check if it really works Build a Docker container with your Python script and push it to Google Cloud Create an instance in Google Compute Engine to run your backtest Running your trading bot 24/7 on Google Cloud Compute Engine Requirements: Python is strongly recommended. Some basic knowledge of Docker and Google Cloud. Some familiarity with technical indicators would be useful. Some basic knowledge of crypto and Binance. Description: DescriptionIn this course you will learn an example of how to combine three technical indicators (RSI, Bollinger Bands and Engulfing Pattern) to define a trading strategy for Bitcoin (BTCUSD) using Python, Ta-Lib and Binance API. You will perform a backtesting of this strategy to see if it is a successful strategy or not. The execution of the backtesting will take several hours, so you will learn how to containerize your Python script using Docker and how to push it to Google Cloud Platform, specifically how to push the container to Artifact Registry and then run the container on Google Compute Engine. Finally, you will see how to run your trading bot 24/7 on Google Cloud again by using Docker, Artifact Registry and Google Compute Engine.Overview of the contentsSection 1: BasicsCreate local environment for our experiments using Docker (a Jupyter notebook with specific libraries).Usage of Binance API: getting credentials, extraction of historical prices, checking filters for BTCUSDT, executing market and OCO orders, getting the id and status of an order. Also canceling an order.Reviewing RSI, Bollinger Bands and Engulfing Pattern.Programming them using Ta-Lib and building some basic plots.Section 2: Defining and Visualizing the Trading StrategyDescribe the trading strategy.Programming the buy signal.Plotting simultaneously the Bollinger Bands, RSI and Engulfing Pattern.Based on previous plot, define the stoploss and takeprofit.Check a couple examples (a winning trade and a losing trade).Section 3: Backtesting the Trading Strategy on Google Compute EngineCreation of Dockerfile, requirements.txt and the main Python script (bot_backtesting).The bot_backtesting script Includes a connection to BigQuery to save logs during the execution and to save the final result at the end of the execution. Also it will handle Binance fees and any existing open trades.In bot_backtesting script, construct the main function (compute_sl_tp) steps: 1 Browsing for buy signals. 2 Setting entry, takeprofit and stoploss prices. 3 Determine when we reach each one of them. 4 Which one happened first. 5 Retrieve additional information.Building container with Docker, push it to Artifact Registry and run it on Google Compute Engine.Analyze backtesting results.Section 4: Building and Running the Trading Bot on Google Compute Engine.Creation of Dockerfile, requirements.txt and the main script (main py) which includes a class called TradingBot.The class will handle buy signals. Also it will define the entry, takeprofit and stoploss prices, estimated fees and returns, and whether we have an existing open trade or not.The class will define the required conditions to enter a trade.It will create market and OCO orders. Also it will check and update the status of both market and OCO orders.Running the class TradingBot every minute.Building container with Docker, push it to Artifact Registry and run it on Google Compute Engine. Also see how to run it on local machine.Results after running trading bot.Section 5: AppendixInstalling basic tools: Notepad++, Google Cloud SDK, Docker.Enable Google Cloud components: Compute Engine, Artifact Registry and BigQueryCreate Json Service Account for connection from Python to BigQuery.Provide additional permissions to SDK: Gmail, Docker, Artifact Registry and repositories in Artifact Registry. Who this course is for: Python developers interested in trading bots and cryptocurrencies. Traders with programming skills. Homepage https://www.udemy.com/course/design-backtest-and-run-your-binance-trading-bot-on-gcp/ Rapidgator https://rg.to/file/1600f91c3b2f0bf4074e8ca06a932f0b/yftst.Design.Backtest.and.Run.your.Binance.Trading.Bot.on.GCP.part1.rar.html https://rg.to/file/a89f69a704f89ebdf791064627c193f9/yftst.Design.Backtest.and.Run.your.Binance.Trading.Bot.on.GCP.part2.rar.html https://rg.to/file/9f52315d707939f6b3b8b0b61596d6d1/yftst.Design.Backtest.and.Run.your.Binance.Trading.Bot.on.GCP.part3.rar.html Fikper Free Download https://fikper.com/AHG4HmTllN/yftst.Design.Backtest.and.Run.your.Binance.Trading.Bot.on.GCP.part1.rar.html https://fikper.com/mrUaohQDOL/yftst.Design.Backtest.and.Run.your.Binance.Trading.Bot.on.GCP.part2.rar.html https://fikper.com/pLmHmVlCPI/yftst.Design.Backtest.and.Run.your.Binance.Trading.Bot.on.GCP.part3.rar.html No Password - Links are Interchangeable