Predicting the Next Stock Market "Flash Crash"

By Romesh Saigal and Abdullah AlShelahi / Department of Industrial and Operations Engineering, University of Michigan

By Romesh Saigal and Abdullah AlShelahi
Department of Industrial and Operations Engineering, University of Michigan


Predicting the Next Stock Market "Flash Crash"

Cover Image Attribute: Pixabay.com

Soon after the Great Recession, the U.S. stock markets plunged – and rebounded within 36 minutes. The Dow Jones Industrial Average dropped more than 9%, losing more than 1,000 points before suddenly recovering.

This May 6, 2010 event was the first recorded “flash crash.” While it didn’t have long-term effects, it raised concerns among investors about the stability of the stock market.

Computers have made trading faster and more efficient, but they also can create instability in the markets. Today, quantitative analysts use complex algorithms to make many trades in many markets within a fraction of a second. These new algorithms now account for more than half of all trades. But this may lead to even more flash crashes.

As engineers, we were interested in that May 2010 crash. No single reason can explain why flash crashes happen. But are there ways to predict and mitigate these anomalies? We took on the challenge of developing a theory that may help predict flash crashes.

The Flow of Markets


We started with fluid dynamics, the study of the flow of fluids such as water. These principles can be applied to other problems; one of us previously used fluid physics to examine the movement of traffic.

In fluid dynamics, researchers look at how measured quantities, like velocity and pressure, affect the dynamics of the flow. For example, weather forecasters use the changes in wind speed and pressure to predict the movement of severe storms.

We asked ourselves: Could this science give insight into the dynamics of the stock market?

We felt that the existing theories predicting flash crashes are inadequate, because they focus on only a small part of the whole picture, as the performance of some subset of stocks. Dow Jones or the S&P 500 indices provide a limited amount of information about the market, by observing the behavior of a subset of appropriately chosen stocks.

Our approach was to include all the stocks in the market. In contrast, our model gives this information for almost the whole range of stocks, broken down by specific price ranges. All of these ranges can be simultaneously observed, generating an early warning.


Video Attribute: This video of Hurricane Sandy shows its velocity through arrows and swirls. In the stock market, these effects are at a very low velocity, as stocks prices change slowly. In slow motion, the dramatic effects are not so visible to the human eye – unless there is a flash crash.

We found analogs for the measurements that scientists typically use to understand the flow. For example, for our model, the “density” of the flow was the number of stocks per unit price, and “pressure” was the upward or downward force on the price caused by the buying and selling activity of traders.

Observing stock markets from a computer screen, we could see that the movement of stock prices resembles the flow of a fluid like air or water.


Examining the "Flash Crash"


In our study, published on Sept. 1, 2018, we obtained price-per-minute data for about 4,000 stocks in the NYSE, NASDAQ, and AMEX on the day of the May 2010 flash crash. We used these data to test our fluid dynamics model of the market.

When we looked at the prices of 700 stocks on the afternoon of the crash, we saw that the shock was clearly visible. The velocity graphs looked like the printout from a seismographic device monitoring shocks from an earthquake. Graphs of the pressure also clearly showed a major event at the flash crash time.

Chart Attributes: These graphs show the velocity of all stock prices before, during and after the May 2010 flash crash. /Source: Romesh Saigal and Abdullah AlShelahi, CC BY-SA

Chart Attributes: These graphs show the velocity of all stock prices before, during and after the May 2010 flash crash. /Source: Romesh Saigal and Abdullah AlShelahi, CC BY-SA

Looking at all stocks also gave us the ability to predict the near future of their behavior. Our model showed signs of a flash crash 10 minutes before the big event – before any issues would have been evident to human observers.

We have observed similar results from the model in the case of other crashes. For example, we studied Facebook’s initial public offering (IPO) on May 18, 2012. The company raised about US$16 billion, but this massive offering was plagued by unexpected technical difficulties. The IPO was delayed for 30 minutes, causing turmoil across the markets for a few hours.

In our effort to analyze what actually happened on this day, we tested our model to see if it could observe signals prior to the offering time. The model showed a high volatile period that affected many stocks, creating chaos in the markets.


The Next Big Crash


Our next step is to generate an intelligent system that will automatically consider the data and warn the overseers about the impending disturbances in the market. If this warning arrives early enough, investors could potentially use it to take preventative measures.

However, there are a few ways that the model still needs to improve. Relying on early signals can lead to false positives, which we want to minimize. Some of our recent results, not yet reported, suggest how many false positives and negatives occur.

In a different study, not yet published, we describe a system that analyzes trading days when abnormalities were reported. We have found that our system was able to produce low false positive and negative rates.

In light of these alarms, market regulators might then take the appropriate action. For example, they might prevent certain trades from being made or block particular traders from any activity for a period of time. Traders might choose to purchase shares at times when the stocks are falling in price, and sell during the times the prices are rising back to their pre-crash values. These actions might help reduce the crash’s impact.

In other words, investors could exploit the crash to improve their positions – and simultaneously help dampen some of the crash’s effects.

This article is republished from The Conversation under a Creative Commons license. Read the original article.

About the Authors

Romesh Saigal is a professor of Industrial & Operations Engineering, University of Michigan.

Abdullah AlShelahi is a Ph.D. Candidate in Industrial and Operations Engineering, University of Michigan.
Name

-51,1,3D Technology,2,5G,8,Abkhazia,2,Academics,9,Accidents,19,Activism,1,ADB,12,ADIZ,1,Adults,1,Advertising,30,Advisory,2,Aerial Reconnaissance,11,Aerial Warfare,34,Aerospace,4,Afghanistan,83,Africa,108,Agile Methodology,2,Agriculture,15,Air Crash,9,Air Defence Identification Zone,1,Air Defense,5,Air Force,26,Air Pollution,1,Airbus,4,Aircraft Carriers,5,Aircraft Systems,1,Al Nusra,1,Al Qaida,4,Al Shabab,1,Alaska,1,ALBA,1,Albania,2,Algeria,3,American History,4,AmritaJash,10,Antarctic,1,Anthropology,7,Anti Narcotics,12,Anti Tank,1,Anti-Corruption,3,Anti-dumping,1,Anti-Piracy,2,Anti-Submarine,1,Anti-Terrorism Legislation,1,Antitrust,1,APEC,1,Apple,2,Applied Sciences,2,AQAP,2,Arab League,3,Architecture,1,Arctic,6,Argentina,7,Armenia,26,Army,3,Art,1,Artificial Intelligence,62,Arunachal Pradesh,1,ASEAN,10,Asia,64,Asia Pacific,22,Assassination,2,Asset Management,1,Astrophysics,2,ATGM,1,Atmospheric Science,1,Atomic.Atom,1,Augmented Reality,7,Australia,43,Austria,1,Automation,13,Automotive,124,Autonomous Flight,2,Autonomous Vehicle,2,Aviation,58,AWACS,1,Awards,17,Azerbaijan,14,Azeri,1,B2B,1,Bahrain,9,Balance of Payments,1,Balance of Trade,3,Balkan,10,Baltic,3,Baluchistan,8,Bangladesh,27,Banking,48,Bankruptcy,1,Basel,1,Bashar Al Asad,1,Bay of Bengal,5,BBC,1,Beijing,1,Belarus,3,Belgium,1,Belt Road Initiative,3,Beto O'Rourke,1,BFSI,1,Bhutan,9,Big Data,30,Big Tech,1,Bilateral Cooperation,13,BIMSTEC,1,Biography,1,Biotechnology,2,BISA,1,Bitcoin,7,Black Lives Matter,1,Black Money,2,Black Sea,1,Blockchain,31,Blood Diamonds,1,Bloomberg,1,Boeing,20,Boko Haram,7,Bolivia,6,Bomb,2,Bond Market,1,Book,10,Book Review,17,Border Conflicts,7,Border Control and Surveillance,5,Bosnia,1,Brand Management,14,Brazil,99,Brexit,22,BRI,5,BRICS,16,British,3,Broadcasting,16,Brunei,2,Brussels,1,Buddhism,1,Budget,3,Build Back Better,1,Bulgaria,1,Burma,2,Business & Economy,1004,C-UAS,1,California,5,Call for Proposals,1,Cambodia,6,Cameroon,1,Canada,46,Canadian Security Intelligence Service (CSIS),1,Carbon Economy,8,CAREC,1,Caribbean,9,CARICOM,1,Caspian Sea,2,Catalan,3,Caucasus,9,CBRN,1,Central African Republic,1,Central Asia,74,Central Asian,3,Central Eastern Europe,46,Certification,1,Chad,2,Chanakya,1,Charity,2,Chatbots,1,Chemicals,7,Child Labor,1,Children,4,Chile,10,China,455,Christianity,1,CIA,1,CIS,5,Citizenship,2,Civil Engineering,1,Civil Liberties,4,Civil Rights,2,Civil Society,4,Civilization,1,Clean Energy,4,Climate,62,Climate Change,15,Clinical Research,3,Clinton,1,Cloud Computing,40,Coal,4,Coast Guard,3,Cognitive Computing,12,Cold War,4,Colombia,15,Commodities,3,Communication,8,Communism,3,Compliance,1,Computers,40,Conferences,1,Conflict,80,Conflict Diamonds,1,Conflict Resolution,48,Conflict Resources,1,Congo,1,Construction,4,Consumer Behavior,4,Consumer Price Index,1,COP26,4,Coronavirus,106,Corporate Communication,1,Corporate Governance,4,Corporate Social Responsibility,4,Corruption,4,Costa Rica,2,Counter Intelligence,13,Counter Terrorism,80,COVID,5,COVID Vaccine,5,CPEC,8,CPG,3,Credit,1,Credit Score,1,Crimea,4,CRM,1,Croatia,2,Crypto Currency,12,Cryptography,1,CSTO,1,Cuba,6,Culture,4,Currency,6,Customer Relationship Management,1,Cyber Attack,6,Cyber Crime,2,Cyber Security & Warfare,104,Cybernetics,5,Cyberwarfare,16,Cyclone,1,Cyprus,5,Czech Republic,3,DACA,1,DARPA,3,Data,9,Data Analytics,35,Data Science,2,Database,2,Daughter.Leslee,1,Davos,1,DEA,1,DeBeers,1,Debt,11,Decision Support System,5,Defense,9,Defense Deals,5,Deforestation,2,Democracy,20,Democrats,2,Demonetization,6,Denmark. F-35,1,Denuclearization,1,Diamonds,1,Digital,38,Digital Economy,8,Digital Marketing,2,Digital Transformation,10,Diplomacy,10,Disaster Management,4,Disinformation,1,Diversity & Inclusion,1,Djibouti,2,Documentary,2,Doklam,1,Dokolam,1,Dominica,2,Donald Trump,42,Donetsk,2,Dossier,2,Drones,10,E-Government,2,E-International Relations,1,Earning Reports,2,Earth Science,1,Earthquake,5,East Africa,1,East China Sea,9,eBook,1,ECB,1,eCommerce,11,Econometrics,1,Economic Justice,1,Economics,39,Economy,76,ECOWAS,2,Ecuador,3,Edge Computing,2,Education,61,Egypt,24,Elections,29,Electric Vehicle,11,Electricity,5,Electronics,7,Emerging Markets,1,Employment,12,Energy,309,Energy Policy,28,Energy Politics,24,Engineering,23,England,2,Enterprise Software Solutions,8,Entrepreneurship,15,Environment,46,ePayments,12,Epidemic,6,ESA,1,Ethiopia,3,Eulogy,3,Eurasia,3,Euro,6,Europe,6,European Union,219,EuroZone,5,Exclusive,2,Exhibitions,2,Explosives,1,Export Import,3,F-35,5,Facebook,7,Fake News,3,Fallen,1,FARC,2,Farnborough. United Kingdom,2,FATF,1,FDI,5,Featured,1150,Fidel Castro,1,Fiji,1,Finance,17,Financial Markets,49,Financial Statement,2,Finland,5,Fintech,13,Fiscal Policy,12,Fishery,3,Food Security,22,Forces,1,Forecasting,1,Foreign Policy,12,Forex,2,France,26,Free Market,1,Free Syrian Army,4,Freedom,3,Freedom of Speech,1,FTC,1,Fujairah,97,Fund Management,1,Funding,22,Future,1,G20,6,G24,1,G7,3,Gaddafi,1,Gambia,2,Gaming,1,Garissa Attack,1,Gas Price,16,GATT,1,Gaza,2,GCC,11,GDP,9,GDPR,1,Geneal Management,1,General Management,1,Geo Politics,103,Geography,1,Geoint,14,Geopolitics,5,Georgia,11,Georgian,1,geospatial,8,Geothermal,2,Germany,60,Ghana,3,Gibratar,1,Gig economy,1,Global Trade,88,Global Warming,1,Global Water Crisis,10,Globalization,2,Gold,2,Google,13,Gorkhaland,1,Government,125,GPS,1,Greater Asia,126,Greece,13,Green Bonds,1,Greenland,1,Gross Domestic Product,1,GST,1,Gujarat,6,Gun Control,4,Hacking,4,Haiti,2,Hasan,1,Health,7,Healthcare,71,Heatwave,1,Helicopter,10,Heliport,1,Hezbollah,3,High Altitude Warfare,1,High Speed Railway System,1,Hillary 2016,1,Hillary Clinton,1,Hinduism,2,Hindutva,4,History,10,Home Security,1,Honduras,2,Hong Kong,7,Horn of Africa,5,Housing,11,Houthi,11,Howitzer,1,Human Development,28,Human Resource Management,5,Human Rights,4,Humanitarian,3,Hungary,3,Hunger,3,Hydrocarbon,3,Hydrogen,2,IAEA,2,ICBM,1,Iceland,1,ICO,1,Identification,2,IDF,1,Imaging,2,IMF,68,Immigration,17,Impeachment,1,Imran Khan,1,Independent Media,72,India,536,India's,1,Indian Air Force,18,Indian Army,5,Indian Nationalism,1,Indian Navy,24,Indian Ocean,16,Indices,1,Indo-Pacific,3,Indonesia,17,IndraStra,1,Industrial Accidents,3,Industrial Automation,2,Industrial Safety,4,Inflation,6,Infographic,1,Information Leaks,1,Infrastructure,3,Innovations,22,Insider Trading,1,Insurance,3,Intellectual Property,3,Intelligence,5,Intelligence Analysis,8,Interest Rate,3,International Business,13,International Law,11,International Relations,7,Internet,52,Internet of Things,34,Interview,8,Intra-Government,5,Investigative Journalism,3,Investment,32,Investor Relations,1,IPO,4,Iran,188,Iraq,54,IRGC,1,Iron & Steel,1,ISAF,1,ISIL,9,ISIS,33,Islam,12,Islamic Banking,1,Islamic State,86,Israel,119,IT ITeS,131,Italy,10,Jabhat al-Nusra,1,Jamaica,3,Japan,61,JASDF,1,Jihad,1,Joe Biden,3,Joint Strike Fighter,4,Jordan,7,Journalism,6,Judicial,4,Justice System,3,Kanchin,1,Kashmir,8,Kazakhstan,22,Kenya,5,Kiev,1,Kindle,700,Knowledge Management,3,Kosovo,2,Kurdistan,8,Kurds,10,Kuwait,7,Kyrgyzstan,9,Labor Laws,10,Labor Market,4,Land Reforms,2,Land Warfare,21,Languages,1,Laos,1,Laser Defense Systems,1,Latin America,79,Law,5,Leadership,3,Lebanon,9,Legal,9,LGBTQ,1,Liberalism,1,Library Science,1,Libya,13,Littoral Warfare,2,Livelihood,3,Loans,8,Lockdown,1,Lone Wolf Attacks,2,Lugansk,2,Macedonia,1,Machine Learning,7,Madagascar,1,Mahmoud,1,Main Battle Tank,3,Malaysia,10,Maldives,8,Mali,7,Malware,2,Management Consulting,6,Manpower,1,Manto,1,Manufacturing,14,Marijuana,1,Marine Engineering,3,Maritime,39,Market Research,2,Marketing,38,Mars,2,Martech,9,Mass Media,29,Mass Shooting,1,Material Science,2,Mauritania,1,MDGs,1,Mechatronics,2,Media War,1,Mediterranean,12,MENA,6,Mental Health,4,Mercosur,2,Mergers and Acquisitions,15,Meta,1,Metadata,2,Metals,1,Mexico,10,Micro-finance,4,Microsoft,11,Migration,19,Mike Pence,1,Military,99,Military Exercise,9,Military-Industrial Complex,1,Mining,15,Missile Launching Facilities,5,Missile Systems,51,Mobile Apps,3,Mobile Communications,10,Mobility,4,Modi,7,Moldova,1,Monaco,1,Monetary Policy,5,Money Market,2,Mongolia,8,Monkeypox,1,Monsoon,1,Montreux Convention,1,Moon,4,Morocco,1,Morsi,1,Mortgage,3,Moscow,2,Motivation,1,Mozambique,1,Mubarak,1,Multilateralism,2,Mumbai,1,Muslim Brotherhood,2,Myanmar,25,NAFTA,3,NAM,2,Nanotechnology,4,NASA,13,National Security,5,Nationalism,2,NATO,30,Natural Disasters,10,Natural Gas,29,Naval Base,5,Naval Engineering,19,Naval Intelligence,2,Naval Postgraduate School,2,Naval Warfare,44,Navigation,2,Navy,21,NBC Warfare,2,NDC,1,Negotiations,2,Nepal,12,Neurosciences,6,New Delhi,4,New Normal,1,New York,5,New Zealand,5,News,1055,Newspaper,1,NFT,1,NGO,1,Nicaragua,1,Niger,3,Nigeria,10,Nirbhaya,1,Non Aligned Movement,1,Non Government Organization,4,Nonproliferation,2,North Africa,22,North America,41,North Korea,48,Norway,2,NSA,1,NSG,2,Nuclear,38,Nuclear Agreement,30,Nuclear Doctrine,1,Nuclear Security,44,Obama,3,ObamaCare,2,OBOR,15,Ocean Engineering,1,Oceania,2,OECD,4,OFID,5,Oil & Gas,346,Oil Gas,6,Oil Price,56,Olympics,2,Oman,25,Omicron,1,Oncology,1,Online Education,5,Online Reputation Management,1,OPEC,122,Open Access,1,Open Journal Systems,1,Open Letter,1,Open Source,4,Operation Unified Protector,1,Operational Research,4,Opinion,611,Pacific,5,Pakistan,159,Pakistan Air Force,3,Pakistan Army,1,Pakistan Navy,3,Palestine,21,Palm Oil,1,Pandemic,84,Papal,1,Paper,3,Papers,110,Papua New Guinea,1,Paracels,1,Partition,1,Partnership,1,Passport,1,Patents,2,PATRIOT Act,1,Peace Deal,5,Peacekeeping Mission,1,Pension,1,People Management,1,Persian Gulf,19,Peru,5,Petrochemicals,1,Petroleum,19,Pharmaceuticals,13,Philippines,11,Philosophy,2,Photos,3,Physics,1,Pipelines,5,PLAN,3,Plastic Industry,2,Poland,7,Polar,1,Policing,1,Policy,7,Policy Brief,6,Political Studies,1,Politics,36,Polynesia,3,Population,3,Portugal,1,Poverty,5,Power Transmission,6,President APJ Abdul Kalam,2,Presidential Election,30,Press Release,158,Prison System,1,Privacy,17,Private Equity,1,Private Military Contractors,1,Programming,1,Project Management,4,Propaganda,5,Protests,11,Psychology,3,Public Policy,55,Public Relations,1,Public Safety,7,Publishing,6,Putin,4,Q&A,1,Qatar,101,QC/QA,1,Qods Force,1,Quantum Computing,3,Quantum Physics,4,Quarter Results,2,Racial Justice,2,RADAR,1,Rahul Guhathakurta,4,Railway,7,Raj,1,Ranking,4,Rape,1,RCEP,2,Real Estate,1,Recall,4,Recession,2,Red Sea,2,Referendum,5,Reforms,17,Refugee,23,Regional,4,Regulations,1,Rehabilitation,1,Religion & Spirituality,9,Renewable,13,Reports,37,Repository,1,Republicans,3,Rescue Operation,1,Research,4,Research and Development,20,Retail,36,Revenue Management,1,Risk Management,4,Robotics,8,Rohingya,5,Romania,2,Royal Canadian Air Force,1,Rupee,1,Russia,268,Russian Navy,5,Saab,1,Saadat,1,SAARC,6,Safety,1,SAFTA,1,SAM,2,Samoa,1,Sanctions,3,SAR,1,SAT,1,Satellite,12,Saudi Arabia,122,Scandinavia,6,Science & Technology,335,SCO,5,Scotland,6,Scud Missile,1,Sea Lanes of Communications,4,SEBI,1,Securities,1,Security,6,Semiconductor,3,Senate,4,Senegal,1,SEO,3,Serbia,4,Seychelles,1,SEZ,1,Shale Gas,4,Shanghai,1,Sharjah,12,Shia,6,Shinzo Abe,1,Shipping,5,Shutdown,1,Siachen,1,Sierra Leone,1,Signal Intelligence,1,Sikkim,4,Silicon Valley,1,Silk Route,6,Simulations,2,Sinai,1,Singapore,13,Situational Awareness,16,Smart Cities,7,Social Media Intelligence,40,Social Policy,39,Social Science,1,Socialism,1,Soft Power,1,Software,7,Solar Energy,11,Somalia,5,South Africa,18,South America,45,South Asia,405,South China Sea,31,South East Asia,61,South Korea,42,South Sudan,4,Sovereign Wealth Funds,1,Soviet,2,Soviet Union,7,Space,40,Space Station,2,Spain,8,Special Forces,1,Sports,2,Sports Diplomacy,1,Spratlys,1,Sri Lanka,22,Stamps,1,Startups,43,State of the Union,1,STEM,1,Stephen Harper,1,Stock Markets,18,Storm,2,Strategy Games,5,Sub-Sahara,3,Submarine,13,Sudan,5,Sunni,6,Super computing,1,Supply Chain Management,37,Surveillance,8,Survey,5,Sustainable Development,16,Swami Vivekananda,1,Sweden,3,Switzerland,3,Syria,111,Taiwan,20,Tajikistan,11,Taliban,17,Tamar Gas Fields,1,Tamil,1,Tanzania,4,Tariff,4,Taxation,23,Tech Fest,1,Technology,13,Tel-Aviv,1,Telecom,22,Telematics,1,Territorial Disputes,1,Terrorism,74,Testing,2,Texas,3,Thailand,7,The Middle East,606,Think Tank,288,Tibet,2,TikTok,1,Tobacco,1,Tonga,1,Total Quality Management,2,Town Planning,2,TPP,2,Trade Agreements,13,Trade War,9,Trademarks,1,Trainging and Development,1,Transcaucasus,16,Transcript,4,Transpacific,2,Transportation,39,Travel and Tourism,6,Tsar,1,Tunisia,7,Turkey,73,Turkmenistan,9,U.S. Air Force,3,U.S. Dollar,2,UAE,132,UAV,21,UCAV,1,Udwains,1,Uganda,1,Ukraine,93,Ukraine War,7,Ummah,1,UNCLOS,6,Unemployment,1,UNESCO,1,UNHCR,1,UNIDO,2,United Kingdom,69,United Nations,27,United States,654,University and Colleges,4,Uranium,2,Urban Planning,10,US Army,8,US Army Aviation,1,US Congress,1,US FDA,1,US Navy,15,US Postal Service,1,US Space Force,2,USA,16,USAF,19,UUV,1,Uyghur,3,Uzbekistan,12,Valuation,1,Vatican,1,Vedant,1,Venezuela,18,Venture Capital,3,Victim,1,Videogames,1,Vietnam,18,Virtual Reality,7,Vision 2030,1,VPN,1,Wahhabism,3,War,1,War Games,1,Warfare,1,Water,16,Water Politics,6,Weapons,10,Wearable,2,Weather,2,Webinar,1,WEF,2,Welfare,1,West,2,West Africa,19,West Bengal,2,Western Sahara,2,Whitepaper,2,WHO,3,Wikileaks,1,Wikipedia,1,Wildfire,1,Wildlife,2,Wind Energy,1,Windows,1,Wireless Security,1,Wisconsin,1,Women,10,Women's Right,10,Workshop,1,World Bank,27,World Economy,24,World Peace,10,World War I,1,World War II,3,WTO,6,Wyoming,1,Xi Jinping,9,Xinjiang,1,Yemen,26,Zbigniew Brzezinski,1,Zimbabwe,2,
ltr
item
IndraStra Global: Predicting the Next Stock Market "Flash Crash"
Predicting the Next Stock Market "Flash Crash"
By Romesh Saigal and Abdullah AlShelahi / Department of Industrial and Operations Engineering, University of Michigan
https://3.bp.blogspot.com/-1J7E_3X9150/XNMjIIsQ0rI/AAAAAAAADJI/8FdJRsjeeuAcoEzMuwEptHdSQ9Ib3TmDACLcBGAs/s640/blur-1853262_960_720.jpg
https://3.bp.blogspot.com/-1J7E_3X9150/XNMjIIsQ0rI/AAAAAAAADJI/8FdJRsjeeuAcoEzMuwEptHdSQ9Ib3TmDACLcBGAs/s72-c/blur-1853262_960_720.jpg
IndraStra Global
https://www.indrastra.com/2019/05/Predicting-Next-Stock-Market-Flash-Crash-005-05-2019-0032.html
https://www.indrastra.com/
https://www.indrastra.com/
https://www.indrastra.com/2019/05/Predicting-Next-Stock-Market-Flash-Crash-005-05-2019-0032.html
true
1461303524738926686
UTF-8
Loaded All Posts Not found any posts VIEW ALL Readmore Reply Cancel reply Delete By Home PAGES POSTS View All RECOMMENDED FOR YOU LABEL ARCHIVE SEARCH ALL POSTS Not found any post match with your request Back Home Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sun Mon Tue Wed Thu Fri Sat January February March April May June July August September October November December Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec just now 1 minute ago $$1$$ minutes ago 1 hour ago $$1$$ hours ago Yesterday $$1$$ days ago $$1$$ weeks ago more than 5 weeks ago Followers Follow THIS PREMIUM CONTENT IS LOCKED STEP 1: Share to a social network STEP 2: Click the link on your social network Copy All Code Select All Code All codes were copied to your clipboard Can not copy the codes / texts, please press [CTRL]+[C] (or CMD+C with Mac) to copy Table of Content