Search results “Data mining and trading”
Introduction to FOREX Data Mining
In this public webinar you will get an introduction to FOREX Data Mining with WEKA using several algorithms and sample data.
Betfair trading strategies - How to approach Data Mining
It's great looking at historical data, but it can be misleading. After having a conversation this week with somebody about the positive and negative aspects of data mining, I thought I'd give you my views on the subject.
Views: 4223 betangeltv
Turning to data for a trading edge · Dave Bergstrom, quant trader
EP 103: Escaping randomness, and turning to data for an edge w/ Dave Bergstrom On this episode, I’m joined by a quant trader who works at a high frequency trading firm—though you might be surprised to hear, he started out on the same path that many retail traders do—his name is; Dave Bergstrom. The thing that makes Dave unique from most traders who’ve been on this podcast previously, is how he uses data-mining techniques to develop trading strategies. Though data-mining, in trading, often has a negative connotation attached to it, Dave believes this stems from bad practices and poor evaluation of methods. In addition to the above and ways to reduce curve-fitting, we talk about escaping randomness, learning to write code, Dave’s three laws for strategy development, setting expectations and plenty more. -- Show notes: https://chatwithtraders.com/ep-103-dave-bergstrom/
Views: 14099 Chat With Traders
Swing Zone Trading using data mining
Join us as we look at swing trading the forex markets for week 3.28.16. We are looking at a lot of good shorting opportunities using price action trading and selling pull backs in the direction of trend. Learn: We have something for everyone, from the brand new to the seasoned trader. We teach it bar by bar reading and how to use price action zones of support resistance and supply demand levels in your trading. We incorporated multiple time frames (fractal) approach to show you how to trading and how to trade zones really well. With a mixture of volume and price action, We will show you how to define trend and use a 3 trend following trading setups using the basics of technical analysis and price action. This can all seem very complex. To learn the basics we have a simple, value packed 4 week online course for you at http://www.apazones.com/price-action-landing-page Analyze Patterns: In essence, what is price telling me in the areas that are important, and what do I do with that information? We will show you. You can use this approach for stocks, options, futures and forex trading. It works best for swing trading and day trading applications. We use over 5 basic price action and volume criteria to show you where is High and Low in the market, what direction and when and where it goes into range, consolidation, or choppy market conditions. Trade Strategy: This is the fun part, where you get to apply everything you have learned and trade with your strategy. We can teach you how to develop your personal trade plan. We use low risk, specially picked trades with good trade management based on zone trading techniques. Then practice makes perfect and takes time spend in front of the screens. We recommend minimum 6 month trading sim before going live, but it's is up to you and depends on how much experience you have. We have a one-on-one mentorship program to teach you both sim and live to give you the best opportunity possible for success. Want The Best? See details at http://www.apazones.com/elite Community: Trading should not be done alone. We have a free live trading room available, sign up for it at http://www.apazones.com/ also…. Check out more at https://apazones.com. and don't forget to subscribe to our youtube channel for more Free Trading Tips and Market analysis. Other helpful links: https://apazones.com/price-action-landing-page If price action is new to you https://apazones.com/trader-interviews/ - traders interviews with real traders with decades of experience https://join.skype.com/x4BdBWecJC0B - Open Community for all investors, swing traders, and day traders. https://apazones.com/elite -The Best Trading System & Education Available Trading is Risky. Please check out our full disclosure here: https://apazones.com/disclosure/
Views: 608 APA Zones
Stock Price Prediction | AI in Finance
Can AI be used in the financial sector? Of course! In fact, finance was one of the pioneering industries that started using AI in the early 80s for market prediction. Since then, major financial firms and hedge funds have adopted AI technologies for everything from portfolio optimization, to credit lending, to stock betting. In this video, we'll go over all the different ways AI can be used in applied finance, then build a stock price prediction algorithm in python using Keras and Tensorflow. Code for this video: https://github.com/llSourcell/AI_in_Finance Please Subscribe! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology instagram: https://www.instagram.com/sirajraval More learning resources: https://hackernoon.com/unsupervised-machine-learning-for-fun-profit-with-basket-clusters-17a1161e7aa1 https://www.datacamp.com/community/tutorials/finance-python-trading http://www.cuelogic.com/blog/python-in-finance-analytics-artificial-intelligence/ https://www.udacity.com/course/machine-learning-for-trading--ud501 https://www.oreilly.com/learning/algorithmic-trading-in-less-than-100-lines-of-python-code Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ Sign up for the next course at The School of AI: https://www.theschool.ai And please support me on Patreon: https://www.patreon.com/user?u=3191693 Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w
Views: 115267 Siraj Raval
Boston Data Mining | Applying Machine Learning and Science to Trading Decisions
Title & Abstract : "Applying Machine Learning and Science to Trading Decisions" From the view point of a Quantitative Global Macro Investor, the speaker will go over: - Why investors and traders use stop-levels instead of hypothesis tests to exit trades? - Why are the best trading strategies discovered in the search for the surprisingly mundane? - Why searching for profitable strategies leads to bad strategies (and it’s not because of overfitting)? This talk will take a clear look into trade sizing covering Kelly Criterion to the fat tails of the Sharpe Ratio and Correlations that no one talks about in the world of finance and investing. The talk is open to all audiences with an interest in investing. Working examples (IPython/Jupyter Notebooks) will be provided to all that attend and who want to roll up their sleeves and do some python (doing math is always encouraged but optional). The speaker would love to learn more about what parts of the investment process our members are excited about to tailor the presentation material better. The speaker has created a short survey for members who are interested in participating. About Speaker: Sean Kruzel is the Founder and CEO of Astrocyte Research, Inc. Prior to launching his company, Sean worked for large financial institutions and hedge funds where he collaborated in the area of Quantitative Global Macro Strategy and worked as an analyst in fixed income relative-value setting . As CEO of Astrocyte Research, he is currently working towards creating data-driven analysis and frameworks for investors using a combination of industry best practices, novel sources of information and state of the art computation infrastructure. Sean holds a double degree in Mathematics and Economics from Massachusetts Institute of Technology. Fore more info: http://www.meetup.com/Boston-Data-Mining/events/232742130/
Views: 1351 Open Data Science
Predicting Stock Prices - Learn Python for Data Science #4
In this video, we build an Apple Stock Prediction script in 40 lines of Python using the scikit-learn library and plot the graph using the matplotlib library. The challenge for this video is here: https://github.com/llSourcell/predicting_stock_prices Victor's winning recommender code: https://github.com/ciurana2016/recommender_system_py Kevin's runner-up code: https://github.com/Krewn/learner/blob/master/FieldPredictor.py#L62 I created a Slack channel for us, sign up here: https://wizards.herokuapp.com/ Stock prediction with Tensorflow: https://nicholastsmith.wordpress.com/2016/04/20/stock-market-prediction-using-multi-layer-perceptrons-with-tensorflow/ Another great stock prediction tutorial: http://eugenezhulenev.com/blog/2014/11/14/stock-price-prediction-with-big-data-and-machine-learning/ This guy made 500K doing ML stuff with stocks: http://jspauld.com/post/35126549635/how-i-made-500k-with-machine-learning-and-hft Please share this video, like, comment and subscribe! That's what keeps me going. and please support me on Patreon!: https://www.patreon.com/user?u=3191693 Check out this youtube channel for some more cool Python tutorials: https://www.youtube.com/watch?v=RZF17FfRIIo Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w
Views: 493858 Siraj Raval
Trade Miner Review By Mike At Orderflows Market Analysis Data Mining Software
http://www.orderflows.com/2017/02/12/find-high-percentage-trades-quickly/ I just wanted to tell you about this market software research tool you might be interested in. Everyone talks about finding high percentage trades, the trades with the 4-1 reward to risk ratio and so on then just leave you to it. What this software does is it finds you high percentage trades and show you the success rate in the past, the average profit per trade and much more. At a click of a button you will know what futures contract, stock or forex pair to buy (or sell), when to buy (or sell), the trade's winning percentage and average profit. Recently I did a webinar about it explaining how a trader can use it to research and find very profitable trades. You can watch the replay here and learn more about the software. One of the best part is the price. All too often software comes on the market for traders and it is priced at $500, $1000 and more, but this software you can get for as low as $97, but honestly there is a better deal which I tell you about to save you a little more money! It is very rare that I promote another trading software product but I have to be honest and tell you that this software can really open your eyes to some amazing trading opportunities. CFTC Rules 4.41: Hypothetical or Simulated performance results have certain limitations, unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not been executed, the results may have under-or-over compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profit or losses similar to those shown. Disclaimer: This presentation is for educational and informational purposes only and should not be considered a solicitation to buy or sell a futures contract or make any other type of investment decision. Futures trading contains substantial risk and is not for every investor. An investor could potentially lose all or more than the initial investment. Risk capital is money that can be lost without jeopardizing ones financial security or life style. Only risk capital should be used for trading and only those with sufficient risk capital should consider trading. Past performance is not necessarily indicative of future results.  Risk Disclosure: Futures and forex trading contains substantial risk and is not for every investor. An investor could potentially lose all or more than the initial investment. Risk capital is money that can be lost without jeopardizing ones’ financial security or life style. Only risk capital should be used for trading and only those with sufficient risk capital should consider trading. Past performance is not necessarily indicative of future results. Hypothetical Performance Disclosure: Hypothetical performance results have many inherent limitations, some of which are described below. no representation is being made that any account will or is likely to achieve profits or losses similar to those shown; in fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently achieved by any particular trading program. One of the limitations of hypothetical performance results is that they are generally prepared with the benefit of hindsight. In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk of actual trading. for example, the ability to withstand losses or to adhere to a particular trading program in spite of trading losses are material points which can also adversely affect actual trading results. There are numerous other factors related to the markets in general or to the implementation of any specific trading program which cannot be fully accounted for in the preparation of hypothetical performance results and all which can adversely affect trading results.
Views: 2307 Order Flows
A Machine Learning-Based Trading Strategy Using Sentiment Analysis Data
Slides available ► https://goo.gl/1Xc3fJ Full Event ► https://goo.gl/ucxU1S Watch all sessions: ► https://goo.gl/LrMFPA Tucker Balch - Co-Founder & CTO - Lucena Research. In this talk, Tucker shows how sentiment information in combination with a Machine Learning technique can provide a successful stock trading strategy. Specifically, he creates a predictive Machine Learning-based model for company stock prices based on the recent sentiment data; he uses that model as an input to build portfolios that are re-balanced weekly and simulate the performance of those portfolios. His results indicate that the sentiment information has predictive value and is useful as part of a Machine Learning strategy that significantly outperforms the market from which the candidate equities are drawn. Presentation held at 3rd Annual RavenPack Research Symposium entitled "Big Data Analytics for Alpha, Smart Beta & Risk Management". Visit us at ►https://www.ravenpack.com/ Follow RavenPack on Twitter ► https://twitter.com/RavenPack
Views: 10195 RavenPack
Finding Patterns:  Machine Learning for Automated Trading in Forex and Stocks Part 5
This video has us beginning to build our comparison ability, which will be used in pattern recognition. This part could be done in a logarithmic fashion, but we're going to try to keep things as simple as possible! Welcome to the Machine Learning for Forex and Stock analysis and algorithmic trading tutorial series. In this series, you will be taught how to apply machine learning and pattern recognition principles to the field of stocks and forex. This is especially useful for people interested in quantitative analysis and algo or high frequency trading. Even if you are not, the series will still be of great use to anyone interested in learning about machine learning and automatic pattern recognition, through a hands-on tutorial series. Sentdex.com Facebook.com/sentdex Twitter.com/sentdex
Views: 31758 sentdex
Exploiting Big Data Analytics in Trading
Presentation held by Jose A, Guerrero-Colon, Senior Data Scientist at the QuanTech Conference in London, April 22, 2016. Jose highlights the key Capabilities of RavenPack Data and a couple of use-cases. RavenPack's white papers are available on ►https://www.ravenpack.com/research/browse/ Visit us at ►https://www.ravenpack.com/ Follow RavenPack on Twitter ► https://twitter.com/RavenPack #RavenPack #finance #sentiment #newsanalytics #bigdata #quant
Views: 1206 RavenPack
How to Use Sharescope Trading Software UK/US
http://www.fintrader.net Vince Stanzione shows how to use sharescope to filter new opportunities. Sharescope trading systems, sharescope charting software. Best charts for UK market. Investment software for UK. Financial spread betting software. Vince Stanzione system. Sharescope award winning software that helps pick shares.Award winning trading and investment Software for UK, NYSE, NASDAQ, world indices and FOREX, FREE download available Sharescope ShareScope offers complete stock market data and analysis to track portfolios and analyse market trends. Vince Stanzione recommends sharescope and has been a user for over 13 years.I use the Sharescope Gold software for end of day data. It offers data on Shares, Indices, Investment Trusts, Gilts, Commodities, ETF's, Forex and just about anything you can imagine. It literally has tens of thousands of charts. Not only is it charting software but you can also get in depth information about individual companies including all sorts of ratios along with standard balance sheet information. Sharescope data mining Data Mining' feature where you can instantly search through thousands of shares to find ones that match certain adjustable filters. You can have as many or as few filters you like and if there isn't one there that you like you can contact support via the Sharescope Forum and I am sure they will happily help. Sharescope gold, Should I use sharescope plus or sharescope pro? sharescope vince stanzione review. Sharescope award winning software used by Vince Stanzione system, students. using sharescope on a mac
EURUSD H4 Data Mining
I present a sample EURUSD data on H4 chart for the past +10 years, then I walk you through a Python script to analyze the data with basic Machine Learning. Data: https://www.kaggle.com/algonell/eurusd-h4 Script: https://www.kaggle.com/algonell/d/algonell/eurusd-h4/eurusd-h4-trend-classification
How to Build a Winning Machine Learning FOREX Strategy in Python: Getting & Plotting Historical Data
In this video we are going learn how about the various sources for historical FOREX data. Primarily, we will be using data from Dukascopy bank. There are many other FOREX historical data sources that you need to pay for that will be of much higher quality. However, I feel that the data available for free at Dukascopy will be quite sufficient for our uses. Additionally, I give a demonstration on how to set up a plot that, in my opinion, is much easier/better looking than a plot using Matplotlib. Plotly is very flexible and can be used to generate many different plot types; I strongly recommend it. In the next video we will begin to construct functions that will return financial indicators. Down the road, we will use the indicators to train a machine learning algorithm to make binary price predictions. We will use a test dataset to backtest our strategy and adjust parameters to our liking. Useful links: **** DUKASCOPY HISTORICAL DATA FEED **** https://www.dukascopy.com/swiss/english/marketwatch/historical/ **** PYTHON FFN: FINANCIAL FUNCTIONS **** http://pmorissette.github.io/ffn/ **** PLOTLY **** https://plot.ly/ **** PANDAS DOCUMENTATION **** http://pandas.pydata.org/pandas-docs/stable/ **** TRADING VIEW **** https://www.tradingview.com/
Views: 11653 PythonParseltongue
Setting Up Auto Traders & Miners  - Quick Tip | X4: Foundations
Learn how to set up your auto trading and mining minions—I mean beloved employees. Trader Loadout: Ship: Hermes Vanguard Turret: PAR M Bolt Turret Mk1 Shield: PAR M Shield Generator Mk2 Engine: PAR M Travel Engine Mk1 Thrusters: M Combat Thrusters Mk1 Software: - Flight Assist Software Mk1 - Long-range Scanner Software Mk1 - Basic Scanner - Trading Computer Extension Mk1 Modifications: None Have questions about the game? Leave a comment! Join the public Discord! Chat about games, life; whatever floats your boat: https://discord.gg/5hpMvx3 Join me on Twitch: https://www.twitch.tv/shadowcub7
Views: 824 Shadowcub
Algo Trading Based on Data Mining: Returns up to 341.94% in 1 Year
In this 1 Year forecast for the High Volume Stocks Package, there were many high performing trades and the algorithm correctly predicted 9 out 10 trades. The top-performing prediction in this forecast was NKTR, which registered a return of 341.94%. Other notable stocks were SGMS and NRG with a return of 127.07% and 87.78%. The package had an overall average return of 69.41%, providing investors with a premium of 43.12% over the S&P 500’s return of 26.29% during the same period. Read Full Article Here: https://iknowfirst.com/fr-algo-trading-based-on-data-mining-returns-up-to-341-94-in-1-year Follow us on: Twitter: https://twitter.com/i_Know_First Facebook: https://www.facebook.com/IKnowFirst.stock.market.forecast/ LinkedIn: https://www.linkedin.com/company/i-know-first-daily-market-forecast/ Google+: https://plus.google.com/+Iknowfirst-stock-market-forecast
WELCOME TO STOOTS - Football Data Mining Service
Welcome to Stoots - http://stats.stoots.com/ - football data mining service for smarter decisions. How to handle pre-match football trading? How to make money through it? Subscribe us! My name is Mark, your host and I'm here to give you a look at what our Stoots data mining service can do and help you to get the data you need to gain an edge in football trading, betting and analysis. We are developing a data mining software & tools to help you be better informed & make smarter, profitable decisions! Check our page at http://www.stoots.com/ and read our blog at http://www.stoots.com/news-blogs/! It's football! It's fun! Welcome!
Views: 255 TheStoots
The Do's and Don't's of Quant Trading
The best advice on how to thrive, or at least survive, in the increasingly competitive world of quantitative trading. Topics include optimal leverage, performance momentum, infrastructure investment, strategies selection, and collaboration. Dr. Ernest Chan is the Managing Member of QTS Capital Management, LLC., a commodity pool operator and trading advisor. He began his career as a machine learning researcher at IBM’s Human Language Technologies Group, and later joined Morgan Stanley’s Data Mining Group. He was also a quantitative researcher and proprietary trader for Credit Suisse. Ernie is the author of “Machine Trading”, “Algorithmic Trading”, and “Quantitative Trading”, all published by Wiley, and a popular financial blogger at epchan.blogspot.com. He also teaches at the Master of Science in Predictive Analytics program at Northwestern University. He received his Ph.D. in theoretical physics from Cornell University. Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice. More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian. In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.
Views: 6802 Quantopian
Build Alpha - Data Mining Bias and P-Hacking
How Build Alpha prevents against p-hacking, data mining bias, and takes advantage of using computational power to build and test the best trading strategies.
Views: 1394 David
Statistical Analysis and Data Mining
Statistical Analysis and Data Mining This webinar discuss the ability to analysis statistical performance information from historical market data based on any trading indicator or concept.
Views: 2768 TradeStation
Seeking PCA, Markov, data mining examples for automated trading model profits
http://quantlabs.net/membership.htm http://www.meetup.com/quant-finance http://www.meetup.com/R-Matlab-Users/
Views: 407 Bryan Downing
Smart Trader (Twitter Datamining for Profiting on Real Time News Events)
Discussion: A week or so ago I posted a message to our free usergroup (linked below) about a Predictive Market Analysis concept that could be used in conjunction with Smart Volume Analysis using real time activity from social media sites such as twitter. Such a system might be used to exploit news events for profit. A proof of concept example such as the one shown here could be the basis for such a system. The idea is to let machines score hashtags by region as they come in. Example. An Earthquake just hit Japan the system would start receiving a large number of related hashtags and once it breached a threshold it would alert you that an Earthquake likely just hit Japan. You could then open or close trades accordingly. Join us to discuss Smart Volume Analysis and Trading (Free) Here: https://plus.google.com/communities/105387595221569368907 Note: The video is a visual representation of how the system might look/work only. (Music is original and was created by me using Reason)
Views: 967 Smart Traders
Betfair trading data capture and trading analysis spreadsheet
Many thanks to Bet Angel user Switesh for creating, uploading and narrating this video and allowing us to share it with out users. The spreadsheet capture reams of data real time it also offers in-depth analysis on it and the ability to replay and analyse the markets at a deeper level. It's a really neat piece of work and I'm sure all of us would like to thank Switesh for sharing it.
Views: 9405 betangeltv
MarketFest: Supply and Demand Trading for Beginners [Gabriel Brent]
https://winvesting.com/marketfest/seasons/season30/episode-03 - WINvesting presents MarketFest (Season 30, Episode 3) - “Supply and Demand Trading for Beginners” Join Gabriel Brent for this presentation to learn how large institutions understand and use hidden order flow data and advanced data mining techniques in their algorithms. Anyone can see and use these but few understand them. In this presentation, Gabriel will be teaching you how to manually identify these levels or zones as they pertain to market trend and how to capitalize on them. ---------------------------------------- About The Presenter Gabriel Brent APA Zones Gabriel Brent has been the trader and programmer behind APA Zones for the past seven years. A few years ago, he saw a gap in the marketplace of trading for a new breed of indicator: real time supply and demand based on pure price action, and a way to help define the "trend" and trade with it those very basic principles. APA Zones teaches and shows exactly that.
Views: 2292 MarketFest
Historical Data Mining & Live Order Flow Analysis with Sharedata Futures Analytics
Learn More: https://ninjatraderecosystem.com/webinar/historical-data-mining-live-order-flow-analysis/ Where does asymmetric opportunity reside in WTI Crude Futures? In this presentation by Taylor Ireland of Sharedata Futures Analytics, see how Sharedata's Historical Data Mining Toolset coupled NinjaTrader's Order Flow+ suite can help you identify asymmetric opportunity and dynamically manage risk in WTI Crude Futures.
Views: 498 NinjaTrader
David Aronson of Hood River on data mining & Hurst signals - at The Trading Show Chicago 2013
David Aronson, President of Hood River Research, gave a presentation at The Trading Show Chicago 2013 on the topic, 'Rapid identification of non-redundant predictors with data mining bias correction and its application to extreme Hurst signals.' The Trading Show Chicago 2013 was attended by traders, exchanges, funds and investors, with key topics including high frequency trading (HFT), exchange technology and quantitative investment. For more information, go to www.terrapinn.com/tradingchicago. Or, check out our blog at blogs.terrapinn.com/total-trading for up to date information on the trading industry.
Views: 1745 Total Trading
Bitcoin Mining in August 2018 - Still Profitable?
GET FREE STOCK AND BITCOIN: http://share.robinhood.com/jareds7 Subscribe to the TechCashHouse to learn everything you need to know about bitcoin, bitcoin news, cryptocurrencies, stocks, investing, and more! Manage your cash, and be informed. Let's grow wealthy together. Articles: NEW CHANNELS: TechStockHouse: https://www.youtube.com/channel/UC8IzbdgN-IDXlWH0dNdgGag TechCryptoHouse: https://www.youtube.com/channel/UCp7Gqpl9Kqiggr_Rs03X5pA Pledge $1 and BECOME A TECHCASHHOUSE DWELLER TODAY! https://www.patreon.com/techcashhouse THE NEW TWITTER: STOCK POLLS, NEWS, ETC. https://twitter.com/TechCrackHouse_ Buy, sell, what should be done? Keep it tuned right here on the TechCashHouse for news, tips, and the best ways to invest. Please subscribe and like, it helps a lot. BECOME A CASHHOUSE DWELLER TODAY! Robinhood Download Links: IOS: https://itunes.apple.com/us/app/robinhood-free-stock-trading/id938003185?mt=8 Android: https://play.google.com/store/apps/details?id=com.robinhood.android&hl=en Robinhood Main-page: https://www.robinhood.com/ Acorns Download Links: IOS: https://itunes.apple.com/us/app/acorns-invest-spare-change/id883324671?mt=8 Android: https://play.google.com/store/apps/details?id=com.acorns.android&hl=en&gl=us Acorns Main-page: https://www.acorns.com/ I AM IN NO WAY A MARKET PROFESSIONAL; USE YOUR OWN JUDGEMENT WHEN PURCHASING STOCKS AND OTHERWISE. I AM NOT RESPONSIBLE FOR AND GAINS OR LOSSES THAT YOU MAY EXPERIENCE. THE MARKET IS INHERENTLY RISKY, AND YOU SHOULD ONLY INVEST WHAT YOU ARE COMPLETELY WILLING TO LOSE. EMAILING [email protected] WILL ADD YOU TO THE OFFICIAL TECHCASHHOUSE MAILING LIST. BY EMAILING FOR GIVEAWAYS YOU ARE AGREEING TO SUBSCRIBE TO OUR MAILING LIST. I CURRENTLY HOLD INVESTMENTS IN STOCKS, BONDS, AND CRYPTOCURRENCIES.
Yang Liu - Increasing the trading prediction by mining aggregated human texting messages
Filmed at PyData Barcelona 2017 https://pydata.org/barcelona2017/schedule/presentation/51/ www.pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
Views: 435 PyData
Bitcoin Mining Explained
We are miners from 2013 looking to create community and help train and learn together as blockchain tech changes so quickly. Leave your thoughts in the comments, call in, ask us anything. Thank you for your time it means a lot to us. This is where you get that rig hosted and mine coins all day long! https://www.digie.io All the great Merchandise 10% off! http://allthingsdecentral.com?aff=650 ✨Bitcoin coins!✨ http://amzn.to/2u1VkRQ 💰To get Bitcoin start here!💰 https://www.coinbase.com/join/5822284a3239de006a91b885 📈Support the Channel with Crypto:📈 BTC- 1FUyrbMx3STdpkhJKpjNwLkn8kYBQFJQPA ETH- 0xe02135195519D35D16615bBE2fA2Aa40ce0baECE LTC- LUkeeDhPmmS9S2mMJCwNzt2xoYwgy3En9R 🦊Fellow Friend Channels🦊 Ben teaches you step by step what to do! https://www.youtube.com/channel/UChzLnWVsl3puKQwc5PoO6Zg All about your rig build https://www.youtube.com/user/BitsBeTrippin Crypto info news https://www.youtube.com/channel/UCHnmFRbEPiN0rX_0WaEfZsA Interviews https://www.youtube.com/channel/UClMX3Ln3JLo6CzGvA-JAE9A Trey’s Life https://www.youtube.com/channel/UCVH62tKvfMJS14Fc-6E1DPA/featured?view_as=public 📡Social Sites📡 Facebook Group- http://Facebook.com/groups/DigitalGoldGroup Twitch- https://www.twitch.tv/digitalgold_ Mixer- https://mixer.com/DigitalGold_llc Twitter- https://twitter.com/DigitalGold_LLC Website: https://www.digie.io Email us: [email protected] 📝Rules for the chat📝 Zero tolerance for foul language this is a family friendly place. Do not spam Stop posting addresses Respect fellow humans Use @digitalgold to get your question answered -~-~~-~~~-~~-~- Please watch: "Life of a Miner, From Altcoins to Bitcoins over 4 years " https://www.youtube.com/watch?v=heiPMY9gOWg -~-~~-~~~-~~-~-
Views: 490534 Digital Gold
Top 5 Algorithms used in Data Science | Data Science Tutorial | Data Mining Tutorial | Edureka
( Data Science Training - https://www.edureka.co/data-science ) This tutorial will give you an overview of the most common algorithms that are used in Data Science. Here, you will learn what activities Data Scientists do and you will learn how they use algorithms like Decision Tree, Random Forest, Association Rule Mining, Linear Regression and K-Means Clustering. To learn more about Data Science click here: http://goo.gl/9HsPlv The topics related to 'R', Machine learning and Hadoop and various other algorithms have been extensively covered in our course “Data Science”. For more information, please write back to us at [email protected] Call us at US: 1800 275 9730 (toll free) or India: +91-8880862004
Views: 99115 edureka!
X4: Foundations - Getting Started Trading Tutorial
X4 Foundations has some great trading systems. Here's an X4 Foundations tutorial for trading.
Views: 28551 ObsidianAnt
X4: Foundations Guide to Auto Trading and Auto Mining - Profitability,Resources,and Purchasing Ships
X4 Foundations gives multiple ways of making money using the AI and we discuss two of those: Auto-Mine and Auto-Trade. We discuss where to purchase the necessary ships, what options are available for each, where to mine, what resources can be mined, and how to setup each ship to operate on its own. ABOUT THIS GAME Freedom to personally fly all ships: X4 will allow you to fly all ships personally. From small scouts over a wide range of ship classes up to the biggest carrier, everything can be piloted from the cockpit or an external view. A big focus in the development of X4 has been to achieve a seamless and immersive experience when moving between ships. You can leave a ship, climb down a ladder, walk over the dock of a large space station into another ship you may have parked there and replace the pilot that was working for you just by clicking on his chair. Modular stations and ship upgrades: Building space stations and factories has always been a foundation of the X games. After gaining enough money through fighting or trading, most players want to establish their own economy and start influencing the universe on a larger scale. In X4, it is now possible to be completely free and creative. Stations can be constructed from a variety of modules, be it production modules, living sections, docks or many other types of parts. The powerful new map system allows you to drag and connect modules using a connection system to design your own unique creations. Ships also offer a variety of upgrades. Engines, weapons and other equipment can be added in a graphical editor and actually seen on the ship. Most dynamic X universe ever: X4 will be the first X game to allow our races and factions to freely build and expand their empires; the same flexibility the player enjoys in creatively designing space stations from modular building blocks is also available to them. Races expand their empire based on supply and demand, which leads to an extremely dynamic universe where every action the player makes can influence the course of the entire universe. Managing your empire with a powerful map: Once you have more ships and many NPCs working for you as pilots, crew or station managers, the map will be your preferred method of managing it all. Ships can be ordered with simple clicks and through drag-and-drop operations to set their future path and commands. Graphically plan your trade routes, coordinate attacks with your entire fleet, manage the hierarchy or send ships on remote exploration missions. Most detailed X economy ever: One of the key selling points of X games has always been the realistic, simulated economy. Wares produced by hundreds of stations and transported by thousands of ships are actually traded by NPCs and prices develop based on this simulated economy. This is the foundation of our living and breathing universe. Now with X4, we have taken another, massive step. For the first time in any X game, all parts of the NPC economy are manufactured from resources. Ships, weapons, upgrades, ammo and even stations. You name it. Everything comes out of the simulated economy. Research and Teleportation: The seamless change from ship to ship and from NPCs controlling your empire for you continues on a higher level. Once you own a larger fleet, you will be very interested in researching a technology from your HQ: Teleportation. Once you've unlocked teleportation, you can jump from ship to ship a lot quicker and experience all the critical situations your NPCs encounter first hand. Every order you have given to a ship before turns into a mission objective when you pilot the ship yourself. The moment you leave again, your pilot takes the helm and continues with their previous orders. Get into the game: In X4, you can start your journey from a number of different gamestarts and as a number of different characters, each with their own role, set of relationships and different ships and technologies to start with. No matter how you start, you are always free to develop in any other direction. Focus on exploration, make money with illegal trading and theft, command large battle fleets or become the greatest entrepreneur ever. It's all up to you to decide.
Views: 3789 Knee Pit Gaming
X4: Foundations - Empire Building, Space Combat, Trading and Mining
Some X4 Foundations gameplay! My fleet is now slowly expanding - next stop is some station building. Please consider supporting my channel, it's always massively appreciated! My PC Specs: i7 6700k GTX 980 Ti 32GB RAM Multistreaming with https://restream.io/ Help Support this Channel: https://www.patreon.com/obsidianant Dontate: https://streamlabs.com/obsidianant (with on stream notification) Donate with PayPal: https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=H5LJ5URGUB7ZQ (no stream notification) Obsidian Ant Discord: https://discord.gg/gq5T8Sx This copy of X4: Foundations was provided for free by Egosoft.
Views: 10799 ObsidianAnt
X4: Foundations - Gameplay - Ships, Trading, Exploration, Mining
I play through the first few hours of X4 Foundations. My PC Specs: i7 6700k GTX 980 Ti 32GB RAM Multistreaming with https://restream.io/ Help Support this Channel: https://www.patreon.com/obsidianant Dontate: https://streamlabs.com/obsidianant (with on stream notification) Donate with PayPal: https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=H5LJ5URGUB7ZQ (no stream notification) Obsidian Ant Discord: https://discord.gg/gq5T8Sx This copy of X4 was kindly provided by Egosoft.
Views: 87732 ObsidianAnt
Scientific Trading EURUSD M5
Algorithmic Trading using Data Mining and Machine Learning Blue Arrow - Buy Signal, Red Arrow - Sell Signal Check out http://www.algonell.com/ for more details
Silicon Valley Computer Data Expert explains how Crypto Currency is created and mined, and how this ties into Artificial Intelligence and the Las Vegas Shooting Massacre. Original Video "JASON GOODMAN" OTHER LAS VEGAS SHOOTING LINKS: Las Vegas Route 91 Concert -Shooting Massacre Information Links: We have been shown no EVIDENCE of anything regarding this Largest Massacre in our nation's history! Just a picture of a dead guy who doesn't match the picture of the Stephen Paddock Patsy (tattoo of '13' disappeared on neck in “dead” photo). https://www.liveleak.com/view?i=29f_1507163812 https://dtube.video/#!/v/highimpactflix/pfzw2sm0 1) Article regarding the Los Angeles Times and other news outlets filing law suits to obtain Las Vegas shooting records - http://www.latimes.com/nation/la-na-las-vegas-lawsuit-20171101-story.html 2) Vegas Flight Records-This article is on Intellihub.com It reveals the "Air Assault Tactics" & has links to the "Las Vegas Shooting Flight Radar Data" https://www.intellihub.com/vegas-flight-records-reveal-air-assault-extraction-possible/ ***3) YouTube Direct link to "Las Vegas Shooting Flight Radar Data" It also includes Important Clips of Gunmen at the Harley Davidson parking lot (next to airport) loading a "police" helicopter. it looks like PMCs (Private Military Companies) (ETS Risk Management are loading machine guns into the helicopters). It is time stamped and verified!: https://youtu.be/7iBul1OpYvY 4) Part-1. This article covers the "Who & Why" is behind the Las Vegas Massacre - http://patriotcrier.com/obama-saudis-soros-las-vegas-massacre-conspiracy-part-one/ 5) Part-2. This article continues to cover the "Who & Why" is behind the Las Vegas Shooting/Massacre- http://patriotcrier.com/part-two-obama-soros-conspiring-start-violent-u-s-revolution-remove-president-trump/ 6) This is an article with a YouTube link to Alex Jones interviewing Shepard Ambellas (Intellihub.com) and caller "Zack" who is former Army Intelligence & claims ETS Risk Management (PMC-Saudi Based, https://www.ets-riskmanagement.com/ ) https://www.intellihub.com/saudi-arabian-based-risk-management-company-was-on-the-ground-during-the-las-vegas-shooting/ **7) Direct Link to Youtube Video of Alex Jones interviewing Shepard Ambellas (Intellihub) and caller "Zack" (Ex-Army Intelligence) {Go to Time- 21:21} confirming Saudi ETS Risk Management was on the ground in Las Vegas Oct. 1st 2017. https://youtu.be/Nizyj2GQyDw 8) This article confirms Stephen Paddock is a Spy and how MI6 finding out caused CIA to Break All Ties with UK - https://www.opdeepstate.com/2017/10/25/cia-breaks-all-ties-with-uk-after-mi6-shock-reveal-proves-las-vegas-shooter-was-us-spy/ 9) These two articles confirm the link with Stephen Paddock, his girlfriend Marilou Danley and Child Trafficking - https://www.opdeepstate.com/2017/10/11/is-there-a-pedogate-connection-to-the-2017-las-vegas-mass-shooting/ http://yournewswire.com/las-vegas-paddock-child-trafficking/ 10) These articles covers the Insider Trading Money Trail aspect of the Las Vegas Massacre - http://www.zerohedge.com/news/2017-10-08/insider-trading-and-financial-anomalies-surrounding-las-vegas-attack & http://yournewswire.com/soros-funds-riots-nov-4/ & http://yournewswire.com/mandalay-bay-ceo-terror/ 11) Saudi Airforce in Vegas just prior to Massacre: https://www.casino.org/news/sls-las-vegas-gets-booking-from-saudi-air-force
Views: 43562 Bodybystephdotcom
Analyze Stock Data with Microsoft Excel
Visualization of data is a powerful method to see trends and make decisions. Microsoft Excel trending capabilities are tools to visualize large data sets, such as financial information on company performance.
Views: 13737 APMonitor.com
Twitter Sentiment Analysis - Learn Python for Data Science #2
In this video we'll be building our own Twitter Sentiment Analyzer in just 14 lines of Python. It will be able to search twitter for a list of tweets about any topic we want, then analyze each tweet to see how positive or negative it's emotion is. The coding challenge for this video is here: https://github.com/llSourcell/twitter_sentiment_challenge Naresh's winning code from last episode: https://github.com/Naresh1318/GenderClassifier/blob/master/Run_Code.py Victor's Runner up code from last episode: https://github.com/Victor-Mazzei/ml-gender-python/blob/master/gender.py I created a Slack channel for us, sign up here: https://wizards.herokuapp.com/ More on TextBlob: https://textblob.readthedocs.io/en/dev/ Great info on Sentiment Analysis: https://www.quora.com/How-does-sentiment-analysis-work Great sentiment analysis api: http://www.alchemyapi.com/products/alchemylanguage/sentiment-analysis Read over these course notes if you wanna become an NLP god: http://cs224d.stanford.edu/syllabus.html Best book to become a Python god: https://learnpythonthehardway.org/ Please share this video, like, comment and subscribe! That's what keeps me going. Feel free to support me on Patreon: https://www.patreon.com/user?u=3191693 Two Minute Papers Link: https://www.youtube.com/playlist?list=PLujxSBD-JXgnqDD1n-V30pKtp6Q886x7e Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w
Views: 238434 Siraj Raval
Data Mining with WEKA
Learn Data Mining with WEKA - Open Source Data Mining and Machine Learning platform Software: http://www.cs.waikato.ac.nz/ml/weka/ More about FX Data Mining: http://www.algonell.com/
051: Strategy evaluation techniques, flaws and solutions with Dave Walton
Today we’re covering a topic which can really be a concern for traders of all levels, from beginner to pro, and that is the topic of strategy evaluation. Have you ever found that real-life performance does not match expected results? Or perhaps you have a strategy that is stuck in a drawdown and wondering if it’s actually broken? I’m sure we’ve all heard of data mining bias, over-optimization and curve fitting and the impacts this can have on our trading accounts. We may be even using techniques such as Out Of Sample testing, Walk Forward Analysis, Monte Carlo analysis and a number of other measures to identify or reduce the impact of these issues, but do these approaches actually work? Are there limitations or dangers with these techniques? Are there better ways? In this episode we talk to someone who evaluates trading systems for a living, plus his research into system evaluation techniques has won awards. The guest is Dave Walton. Dave was the winner of the Wagner award in 2014 for a paper titled ‘Know your system – turning data mining bias to benefit through System Parameter Permutation’. In our chat today we talk about the technique in his paper and how it can be applied to trading strategy evaluation. We also discuss some of the assumptions and limitations of the approach, and he shares with us some valuable insights he’s made since publishing the paper which have resulted in an updated approach he now considers a better alternative, so make sure you listen out for that. Topics discussed - How the typical approaches to system development can introduce datamining bias without you knowing - The types of systems that can increase the chance of data mining bias and what to look for - How the method of splitting your out of sample data could be causing you to throw away good strategies - Out of sample, walk forward analysis and Monte Carlo - do they actually reduce data mining bias? - The problems with using Monte Carlo analysis to assess strategy performance and why it doesn’t protect from overfitting - System Parameter Permutation - how to use it, why use the median, parameter range selection and new insights since the SPP paper was published - How System Parameter Randomization solves some of the issues of System Parameter Permutation - Stochastic modelling and how it can be used to determine if a rule is adding value to your strategy trading
Views: 1007 Better System Trader
Bitcoin Trading - Getting historical trade data
This video covers where you can get historical trading data for Bitcoin. In this video, we use BTCUSD, but you can use any rate. Data: http://api.bitcoincharts.com/v1/csv/ (It is possible that this link stops working. If so, just do a google search for some. The data is very prevalent.) As Bitcoin, and other cryptocurrencies gain popularity, more and more people are curious about becoming a part of it. Many people start out curious about mining Bitcoins first, but then begin to wonder about buying into the system or even trading. These first few videos will server as an intro to the possibility of trading Bitcoin. I will eventually cover investing in Bitcoin later. Bitcoin donations: 1GV7srgR4NJx4vrk7avCmmVQQrqmv87ty6 Sentdex.com Facebook.com/sentdex Twitter.com/sentdex
Views: 5503 sentdex
Pokémon GO | 0.107.1 Patch Notes | Datamining Leaks | Friends & Trading | Regis | Spinda & More
What is up guys! Y-Gaming here. So, pokemon go just got a whole lot better with trading coming into the picture in the very near future. I know you guys are excited so let's go over the patch notes without any further ado. The Friends feature will start rolling out to Trainers later this week. We can send our friends items, earn bonuses and trade pokemon with them. In order to add a friend in Pokémon GO, you must first ask them to share their Trainer Code with you. There's a new kind of drop added to pokestops called gift box. You cannot open the gift boxes, you can only send them to a friend on your friend list. Inside the Gift will be a stash of helpful items, which your friend will receive along with a postcard showing where you picked up your Gift. Gifts can also include a special surprise: an Egg that, when hatched, will contain an Alolan form of a Pokémon originally discovered in the Kanto region! These eggs are supposed to have a 7KM distance hatch and as you can see, they look a bit like 10KM eggs. Friendship has levels, which can be increased by gifting, raiding with friends and trading. As the level builds you unlock bonuses such as attack bonus, trade cost discount etc. Trading requires you to be level 10 or above. Completing a trade earns a bonus candy which increases if the Pokémon you traded were caught in locations far apart from each other. All trades are powered by stardust. As your friendship level increases with the friend you are trading with, stardust requirement per trade decreases by a huge margin. Legendary, shiny or pokemon not currently in your pokedex require special trade to complete and special trades can occur only once per day and that too only with a great friend or best friend. It also requires a lot of stardust to complete. This is all that was revealed in the official blog post. Now we all know that that's not all. So here are the datamining leaks, beware there can be spoilers. 3 New badges for trading are going to come along with a new badge for GO Fest 2018 Chicago. On July 8th there will be another community day featuring Squirtle. A new water starter exclusive move has been added which will be learnt by blastoise which are evolved during the community day. All the alolan forms left and their shiny variants have been added along with the substitute doll. These are speculated to be hatched from the 7KM eggs. New loading screen has also been added to commemorate Summer 2018. Few more trading details have been uncovered. In order to trade a pokemon: You and your friend have to be able to afford the trade, You need to have both reached the lowest required trading level Your daily trading limit (Special trades) mustn’t be already met The Pokemon you’re attempting to trade can’t be Mythical, Slashed, Buddy, Gym Deployed, not fully Healed, Egg And curiously, the game defines 5 levels of friendship, plus the additional “unset” one. As you can see in the screenshots there are only 4 levels been depicted plus the unset one so that last level must be something special. Spinda is finally added to the game! The code suggests that every spinda will have a random and unique pattern just like the core games and here is the asset that'll be used for it. Niantic is finally introducing in-game client side reporting tools to mark players as either Bot or Spoofer. That's all for version 0.107.1. Do leave a like and subscribe if you want more of this content on my channel. Thank you! --------------------------------------------------------------------------------- Ace, Wallbang, Mid-Air Sniping, Bugs & lots more to come! Subscribe now to keep updated!! Buy 1,000,000 FIFA 16 Ultimate Team Points - https://www.g2a.com/r/y-gaming Buy 2 Billion Gold for Runescape 3 - https://www.g2a.com/r/yash1441 --------------------------------------------------------------------------------- See my workshop @www.csgo-simonsays.webs.com Contact me @http://steamcommunity.com/id/y-gaming/ --------------------------------------------------------------------------------- I am always in need of donations, donators would be rewarded with kisses and hugs :* Donate @http://steamcommunity.com/tradeoffer/new/?partner=90815561&token=E21TJnXs
Views: 235 Y-Gaming
Free Preview of APA Elite Package for swing trading and day trading zones
Join us as we do an extensive and live preview of the new and advanced data mining Elite software from APA Zones. The ultimate in trend following price action analysis software. We use over 10 price action criteria with support resistance and supply demand zoned to have the software learn the markets with you over time. The software make the complex simple. Don't forget to subscribe to our youtube channel. Trading is Risky. Please check out our full disclosure here: https://apazones.com/disclosure/
Views: 190 APA Zones

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