iDov

Can you download from here?: http://booksdescr.org/item/index.php?md5=7EA9B4C84D245EC27BC248E0C9971126

These are free: http://uploadgig.com/file/download/4c2bddCd6dD640EF/SangLucci.The.Lucci.Method.02.19.part1.rar http://uploadgig.com/file/download/25A8415e4c149887/SangLucci.The.Lucci.Method.02.19.part2.rar http://uploadgig.com/file/download/53ED936e6f8ad335/SangLucci.The.Lucci.Method.02.19.part3.rar (I checked the first one)

Scunthorpe is not a problem?

Jakub Konczyk, February 28, 2019, 2h 18m, 654mb Explore Machine Learning methods to predict future financial events based on past data Table of Contents Introduction to Financial Forecasting Predicting Currency Exchange Rates with Multi-Layer Perceptron Loan Approval Prediction with GradientBoostingClassifier Detecting Fraud in Financial Services Using Extreme GradientBoostingClassifier Forecasting Stock Prices Using Long-Short Term Memory Network https://turbobit.net/ve9wnjnn6jep/ai-finance-video.rar.html https://rapidgator.net/file/e9269c2f73689e26f03f554eec23c633/ai-finance-video.rar.html Kudos to the original uploader :)

Mediafire link in #1 working just now

Forex Robots-Expect To Earn 175% P.A. Forex Robot Included! http://uploadgig.com/file/download/7d6ee4bFBc01d79d/Kirill.Eremenko.Forex.Robots.Expect.To.Earn.175.P.A.Forex.Robot.Included.02.19.part1.rar http://uploadgig.com/file/download/1337c4Ec3ea7022e/Kirill.Eremenko.Forex.Robots.Expect.To.Earn.175.P.A.Forex.Robot.Included.02.19.part2.rar http://uploadgig.com/file/download/a4c6523cdf4d2798/Kirill.Eremenko.Forex.Robots.Expect.To.Earn.175.P.A.Forex.Robot.Included.02.19.part3.rar Algorithmic Trading In Forex-Create Your First Forex Robot! http://uploadgig.com/file/download/6ae2f33dFCD5Ef3d/Kirill.Eremenko.Algorithmic.Trading.In.Forex.Create.Your.First.Forex.Robot.02.19.part1.rar http://uploadgig.com/file/download/a837794846030bD1/Kirill.Eremenko.Algorithmic.Trading.In.Forex.Create.Your.First.Forex.Robot.02.19.part2.rar http://uploadgig.com/file/download/B28eC2Cf7334b6c6/Kirill.Eremenko.Algorithmic.Trading.In.Forex.Create.Your.First.Forex.Robot.02.19.part3.rar http://uploadgig.com/file/download/4fa18c2b4Ed0e391/Kirill.Eremenko.Algorithmic.Trading.In.Forex.Create.Your.First.Forex.Robot.02.19.part4.rar Kudos to the original uploader :)

The book is also here: http://gen.lib.rus.ec/book/index.php?md5=360A932FBD0CCDDF012071CDED09A2C5 http://booksdescr.org/item/index.php?md5=360A932FBD0CCDDF012071CDED09A2C5 I can't find the "How To Use Gann Techniques To Implement A Trading System" videos, which sound interesting, however.

http://uploadgig.com/file/download/01963ba72Db0a8be/0657Mastery.Course.part1.rar http://uploadgig.com/file/download/6A9bb2c8482bb342/0657Mastery.Course.part2.rar Kudos to the original uploader :)

Is that the same as this one (about 180 mins, 10 videos 10 pdfs)?: https://forexwinners.ru/forex/profit-with-the-market-profile-by-john-keppler/ The links to the Market Profile Trading Strategies in post #8 seem to be ok btw.

"Clark Kent"??? :))

I think these links are ok too: http://uploadgig.com/file/download/85a7C051ff9dc77d/Timon.Weller.5.Day.Trend.Trading.Forex.Course.02.19.part1.rar http://uploadgig.com/file/download/9232217ba815871c/Timon.Weller.5.Day.Trend.Trading.Forex.Course.02.19.part2.rar http://uploadgig.com/file/download/a67DA4A7bb4Aacc2/Timon.Weller.5.Day.Trend.Trading.Forex.Course.02.19.part3.rar (Kudos to the original uploader)

Thanks to ALT for the file, here's an easier to use link: https://www.sendspace.com/file/f9ygjs

If you find the Demark-authored books difficult to understand, Jason Perl's "DeMark Indicators" may be clearer (& has good charts): http://gen.lib.rus.ec/book/index.php?md5=9094B3AAC6F3C77B9D40C1F0ECF82189 (I don't know if it covers everything in the books Traderbeauty linked to though.)

""" 4h 50m | 881 MB This course covers advances in the techniques developed for algorithmic trading and financial analysis based on the recent breakthroughs in machine learning. We leverage the classic techniques widely used and applied by financial data scientists to equip you with the necessary concepts and modern tools to reach a common ground with financial professionals and conquer your next interview. By the end of the course, you will gain a solid understanding of financial terminology and methodology and hands-on experience in designing and building financial machine learning models. You will be able to evaluate and validate different algorithmic trading strategies. We have a dedicated section to backtesting which is the holy grail of algorithmic trading and is an essential key to successful deployment of reliable algorithms. What You Will Learn You will learn about financial terminology and methodology and how to apply them Get hands-on financial data structures and financial machine learning Understand complex financial terminology and methodology in simple ways Ensemble models and cross-validation for financial applications Backtesting for models and strategies evaluation and validation Apply your skills to real world cryptocurrency trading such as BitCoin and Ethereum Putting machine learning into real world problems and derive solutions """ http://nitroflare.com/view/D43496B079369AF/Sanet.st_Machine_Learning_for_Algorithmic_Trading_Bots_with_Python.rar https://rapidgator.net/file/6c780fa88a974d7640b0e5707463e645/Sanet.st_Machine_Learning_for_Algorithmic_Trading_Bots_with_Python.rar May not be quite as good as it sounds, coming from a tech publisher well known for rushed production, but could well contain some decent info. Kudos to the original uploader!

""" Learn How To Backtest Your Best Trading Ideas In One Day - Guaranteed! How would you like to have the ability to backtest your best trading ideas? And learn how to do this from one of the best in the industry? Introducing Programming in Amibroker - Learn How to Backtest Your Best Trading Ideas in One Day Here is What You Will Receive You will start the course with minimal to no knowledge on how to backtest in AmiBroker. Six hours later you will. 1) Know how to program a strategy. 2) Know how to backtest and validate that strategy. 3) Learn how to improve upon that strategy. 4) And be able to receive the daily signals for that strategy. This is knowledge which you will be able to apply to your trading for the rest of your life. In this class you will start from the beginning and within hours have the skill to take one of our Strategy Guidebooks and program it in AmiBroker yourself. Plus, your personal code will generate the signals for the upcoming day! Course Objectives This course is designed for traders who want to learn how to use AmiBroker to create backtests and/or generate trading signals, but who have little or no familiarity with the AmiBroker language. At the completion of this course, you will be able to: - Create your own custom indicators, and add them to an AmiBroker chart. - Backtest basic trading strategies in order to see which ones have edges, which ones do not, and take the strategies that have edges and make them better. - Verify that your backtest results are correct. - Generate trading signals for the upcoming trading day. What's Included - Six hours of online instruction. The course was recorded live and you will be able to download it to your computer to view at your convenience. - Several break-out sessions where you will spend hands-on time with AmiBroker. - AFL code templates that you can easily modify for your own needs. - A free copy of the Strategy Guidebook "ConnorsRSI Selective Strategy for ETFs and Stocks", which we will use as the basis for our backtest. By the end of the class, you will be able to take this strategy, program it in AmiBroker yourself, and get the signals for the upcoming day. Prerequisites - A desire to learn basic AmiBroker programming. - AmiBroker version 5.5 or later installed. - A data source configured to work with AmiBroker """ http://turbobit.net/sg1zl6xc79uq/5g4gf.Connors.ResearchIntroduction.to.AmiBroker.Programming.rar.html Kudos to the original uploader! (Note: If you want more or different info on AmiBroker Programming, both Bandy books "Quantitative * *" include examples in AFL)