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THE MARKET ALPHA NEWSLETTERS GROUP -- CONSOLIDATED FREE ONLINE VERSIONS -- PREMIUM DESKS POSTS
-
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2012
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-
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February
(230)
- USO: ProtectVEST Advanced Risk Management Status: ...
- ALERT: ProtectVEST: The Case for Near-Term Protection
- High Frequency Trading Demonstration Is Major Succ...
- ProtectVEST Generates Major Winter Quarter Price L...
- ADVANCED MANAGEMENT METHODOLOGY EXHIBIT WEEK: GLD ...
- ADVANCED MANAGEMENT METHODOLOGY EXHIBIT WEEK: DIA ...
- USO ETF: Financial Physics and Price Vector Analy...
- USO /QM UPDATE: Monday 27 February 2012, WEEK 9 2012
- ProtectVEST Issues Major Winter Quarter Price Leve...
- USO: Seasonal Price Alert Status, Friday 24 Februa...
- WEEKLY SUMMARY: FEBRUARY 20-24: Gold Metals: GLD E...
- WEEKLY SUMMARY: FEBRUARY 20-24, 2011: Large Cap: D...
- FRIDAY SUMMARY: 24 FEBRUARY 2011: Gold Metals: GLD...
- FRIDAY SUMMARY: 24 FEBRUARY 2011: Large Cap: DIA E...
- FRIDAY SUMMARY: 17 FEBRUARY 2011: Large Cap: DIA E...
- d c .52 rs t03 f fr .65 (ri)
- g c .22 rs t03 fr .29 (ri)
- g c .20 t03 fr .29, d c .45 t03, fr .54 (ri)
- g r .29 t03 b
- d r .45 t03 (ri)
- g r .24 t03, g c .19 rs t03, fr.24 ri
- d r .56 t03, d c.49 rs t03 fr .56 ri
- g r .22 t03 fr ri
- d r .51 t02 ri
- g r .15 t03, g c .11 rs t03, fr .15 (ri)
- d c .41 t02 b f (ri)
- g c .08 t03 b f (ri1ma, 3T)
- No title
- g c .28 rs t03 fr (ri1ma)
- d r .54 t03 b f
- g r .31 t05 b f
- d c .47 b rs t03, fr .53
- d r .46 t03, ri1ma
- g r .20 t03 b, (ri1ma .20)
- d c .37 b rs t03, fr
- g c b rs t05, fr 24 (ri9ma .16)
- d r .46 b t03
- d c .25 b rs t05 f, fr (ri2ma)
- g c .37 t05 09 31
- g c .44 b rs t05, fr
- g c b rs t05, fr
- d c b rs t05, fr
- d c .52 b rs t03, fr
- g c .57 b rs t05, fr
- d c b rs t05, fr
- g c .57 b rs t05, fr
- d c .60 rs t03
- d c .62 b rs t03, fr
- d r .66 t03
- g r .71 b rs t05
- g c .56 b rs t05, fr
- g r .66 t03 b
- d r. 63 b t05 b w/ auto c .60 rs t03
- g c .63 b rs t05, fr .79
- d r .60 t05 b
- d c .55 rs t03 b, fr
- d c b rs t05, fr
- d c .62 b rs t03, fr
- d c b rs t05, fr
- g r .63 t05 b f
- d c .69 rs b t03
- g c .44 b rs t05 fr .57
- d c .71 rs t05 b
- g c .50 b rs t05 fr .75
- No title
- g c .65 b rs t05, fr .79
- g r .75 t05 b
- g c .41 b rs t05, fr .50, (c.39TL))
- d c .77 b rs t05,
- g c .33 rs b t05, fr 55
- No title
- d r .83 na b t05
- g r .50 na b
- d c .78 b rs t05, fr .83
- d c .78 rs t02
- g r .44 t05 b f na
- g c .33 b rs t05, fr .67
- g r .67 t05 b f
- g c .54 rs t05 f , fr .62
- g r .62 t05 f, na
- d r .86 t05 b f , na
- g r .57 b t05
- g c .45 rs t05 b f, fr .64
- g c .64 rs t05 b, fr .79 a 1121
- d r .80 b t05 f 1032
- g c .64 r s t05 b f, fr .81
- g r .71 t05 b na
- g r .48 na t05
- g c .27 r s t05 b f 1055
- g r .44 na t05 b
- g c .33 r .35 t05 b f 1047
- g r .51 b na t05 1145
- g c .30 r .31 t05 b f fr .43 g .13 tg .42 1043 .
- g r .43 na t05 b 1039
- g c .10 r .12 t05 b f fr .54 g .44 tg 1.32 1036
- g r .54 t05 b 1032
- d c .51 r.53 t05 b f fr .55(t) g .5 tg .15 1029
- g r .40 b na 1028
- d c .50 rs t05 b f fr .61(rs) g .11 tg .33 1027
- g c .30 r.32 t05 b f fr 45 g .15 tg .45 1025
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February
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FRAMECHART EXAMPLES: DAY, 2D, 5D, 10D, MONTH, QUARTER, 2Q, YEAR, 2Y, 4Y, MORE (Click And Refresh)
- INTRADAY 1-MINUTE ECHOVECTOR ANALYSIS TRADER'S EDGE FOCUS FORECAST FRAMECHART AND SCENARIO SETUP OPPORTUNITY INDICATOR GUIDEMAP GRID SNAPSHOT
- 2-DAY 1-MINUTE ECHOVECTOR ANALYSIS TRADER'S EDGE FOCUS FORECAST FRAMECHART AND SCENARIO SETUP OPPORTUNITY INDICATOR GUIDEMAP GRID SNAPSHOT
- 5-DAY 3-MINUTE ECHOVECTOR ANALYSIS TRADER'S EDGE FOCUS FORECAST FRAMECHART AND SCENARIO SETUP OPPORTUNITY INDICATOR GUIDEMAP GRID SNAPSHOT
- 2-WEEK 10-MINUTE ECHOVECTOR ANALYSIS TRADER'S EDGE FOCUS FORECAST FRAMECHART AND SCENARIO SETUP OPPORTUNITY INDICATOR GUIDEMAP GRID SNAPSHOT
- 1-MONTH 30-MINUTE ECHOVECTOR ANALYSIS TRADER'S EDGE FOCUS FORECAST FRAMECHART AND SCENARIO SETUP OPPORTUNITY INDICATOR GUIDEMAP GRID SNAPSHOP WITH KEY ACTIVE SUPPORT AND RESISTANCE ECHOVECTORS AND COORDINATE FORECAST ECHOVECTORS AND MORE HIGHLIGHTED AND ILLUSTRATED
- ADDITIONAL 3-MONTH 30-MINUTE ECHOVECTOR ANALYSIS TRADER'S EDGE FOCUS FORECAST FRAMECHART AND SCENARIO SETUP OPPORTUNITY INDICATOR GUIDEMAP GRID SNAPSHOP WITH KEY ACTIVE SUPPORT AND RESISTANCE ECHOVECTORS AND COORDINATE FORECAST ECHOVECTORS AND MORE HIGHLIGHTED AND ILLUSTRATED
- 1-YEAR DAILY WITH 2-QUARTER 1-QUARTER 2-MONTH AND 1-MONTH ECHOVECTOR ANALYSIS TRADER'S EDGE FOCUS FORECAST FRAMECHART AND SCENARIO SETUP OPPORTUNITY INDICATOR GUIDEMAP GRID SNAPSHOP WITH KEY ACTIVE SUPPORT AND RESISTANCE ECHOVECTORS AND COORDINATE FORECAST ECHOVECTORS AND MORE HIGHLIGHTED AND ILLUSTRATED
- ADDITIONAL 1-YEAR DAILY WITH 2-QUARTER 1-QUARTER 2-MONTH AND 1-MONTH ECHOVECTOR ANALYSIS TRADER'S EDGE FOCUS FORECAST FRAMECHART AND SCENARIO SETUP OPPORTUNITY INDICATOR GUIDEMAP GRID SNAPSHOP WITH KEY ACTIVE SUPPORT AND RESISTANCE ECHOVECTORS AND COORDINATE FORECAST ECHOVECTORS AND MORE HIGHLIGHTED AND ILLUSTRATED
- OPTIONPIVOTSLIVE FOCUS ESOTERIC
- OPTIONPIVOTSLIVE FOCUS ESOTERIC
- OPTIONPIVOTSLIVE FOCUS ESOTERIC
- PAST FOCUS ESOTERICS
- PAST FOCUS ESOTERIC
- PAST FOCUS ESOTERIC
- PAST FOCUS SCENARIO SETUP GUIDEMAP GRIDS
- PAST FOCUS SCENARIO SETUP GUIDEMAP GRIDS
- PAST FOCUS SCENARIO SETUP GUIDEMAP GRIDS
- PAST FOCUS SCENARIO SETUP GUIDEMAP GRID
THE MARKET PIVOTS FORECASTER AND ACTIVE ADVANCED POSITION AND RISK MANAGEMENT NEWSLETTER
THE MARKET ALPHA NEWSLETTERS GROUP FREE ONLINE CONSOLIDATED NEWSLETTERS VERSION
BY MARKETINVESTORSWEEKLY.COM AND BRIGHTHOUSEPUBLISHING.COM!
TODAY'S POSTS
POST REFERENCE INDEX
Tuesday, February 28, 2012
USO: ProtectVEST Advanced Risk Management Status: Tuesday 28 February, 2012: Prepare For ProtectVEST USO OOTV Adjustment and ReSet to CW11 AEV and 2AEV Correlate Price Levels
ProtectVEST's Warning this Past Weekend of Potential Price Retracement in USO to Annual Calendar WEEK 11 ProtectVEST AEV and 2AEV Correlated Price Levels is now underway!
See: http://echovectorvest.blogspot.com/2012/02/uso-qm-update.html
"We're keeping watch for you."
ProtectVEST by EchoVectorVEST
A DIVISION OF MOTION DYNAMICS AND PRECISION PIVOTS
BRADFORD MARKET RESEARCH AND ANALYTICS
ALERT: ProtectVEST: The Case for Near-Term Protection
ProtectVEST ADVANCED RISK MANAGEMENT
METHODOLOGY
AND POSITION MANAGEMENT TECHNOLOGY
DIA OOTVTAPS ADJUSTMENT $130.00
ACTIVE REAL-TIME ILLUSTRATION
1. See the Quarterly EchoBackDates for this Wednesday in this Phase of the Quarterly Cycle.
2. Review the Chart Provided Highlighting 4-Hour Resolution QEV and The QEV Support Threshold Ascention Vector (in Red)
3. Review the Charts Provided Highlighting 4-Hour Daily Resolution of the Wednesday EBDS for the Prior Two Near-Term Quarters, the QEBD and the 2QEBD
4. See the Powerful Regularities in the WEV and the WFEVs, the WEBPS, and the DEBTPs, and the Relative Weakness of Each Day this Week Soon Following the
11:15 AMEST Pre-European Market Close TimePeriod.
ALGORITHM CODE AND TERMINOLOGY
SV's Support Vectors
AEVs Annual EchoVectors
EBDs EchoBackDates
EBTPs EchoBackTimePonts
AEVBDs Annual EchoVector BackDates
FEVs: Forecast EchoVectors
2QEVs: Bi-Quarterly EchoVector
QEVs: Quarterly EchoVectors
WEVs: Weekly EchoVectors
WFEVs: Weekly Forecast EchoVectors
DEVs: Daily EchoVectors
Key DEBTPs: Key DailyEchoBackTime Points
Key WEBTPs: Key Weekly EchoBackTimePoints
WEVEBTPs Weekly EchoVector EchoBackTimePoints
/YM
(Click on chart and click again to enlarge and zoom. Maximize display settings and alignments.)
(Click on chart and click again to enlarge and zoom. Maximize display settings and alignments.)
(Click on chart and click again to enlarge and zoom. Maximize display settings and alignments.)
4-Hour Daily Resolution of the Wednesday EBDS for the Prior Near-Term Quarter, the QEBDs and EBTPs
4-Hour Daily Resolution of the Wednesday EBDS for Two Quarter Ago, the 2QEVEBDs and 2QEVEBTPs
AEVs Annual EchoVectors
EBDs EchoBackDates
AEVBDs Annual EchoVector BackDates
FEVs: Forecast EchoVectors
2QEVs: Bi-Quarterly EchoVector
QEVs: Quarterly EchoVectors
WEVs: Weekly EchoVectors
WFEVs: Weekly Forecast EchoVectors
DEVs: Daily EchoVectors
Key DEBTPs: Key DailyEChoBackTime Points
Key WEBTPs: Key Weekly EchoBackTimePoints
"We're keeping watch for you"
Monday, February 27, 2012
High Frequency Trading Demonstration Is Major Success: ProtectVEST and AdVanceVEST by EchoVectorVEST MDPP
Results were outstanding. Over 110 motions were publically logged and recorded in real-time during the ProtectVEST and AdvanceVEST by EchoVectorVEST MDPP provided HFT Simulation Sample Day.
To see and review the results of each of these over 110 generated time-stamped real-time motions on 2/24/2012 you can go to www.echovectorvest.blogspot.com.
Provided below is ProtectVEST and AdvanceVEST by EchoVectorVEST MDPP ADVANCED RISK MANAGEMENT HFT SHORTHAND CODE utilized in the simulation.
See: www.echovectorvest.blogspot.com for Friday 24 February 2012
"We're keeping watch for you"
ProtectVEST and AdvanceVEST by EchoVectorVEST MDPP Real-Time Time-Stamped Confirmed Example of High Frequency Trading (HFT) in the DIA ETF and the GLD ETF utilizing MDPPADVANCED RISK MANAGEMENT TECHNOLOGY and Performed for Public Education and Review: Friday 24 February 2012, With ProtectVEST and AdvanceVEST MDPP HFT SHORTHAND CODE Utilized
PROTECTVEST AND ADVANCEVEST BY ECHOVECTORVEST MDPP
ADVANCED RISK MANAGEMENT
HFT SHORTHAND CODE REFERENCES
HFT = High Frequency Trading
g = gld etf
d = dia etf
.xx = Price quoted to cents on active $ price level.
r = reset (new adjustment and setting of OOTVs)
t = TAUA, trailing automatic upward adjustment of ootv(s)
b = for both FNPI and FNPDS. Also assume both without mention of "b" unless "-b" specified. instead.
f = fulfilled . No designated "f" does not preclude fulfilment occurred.
fr = from prior active high reset (adjustment) of active OOTV(s).
c = cover
cov = cover
na = now active
s = OOTV(s) reset (adjusted) to same value as cover price level
ts = TAUA set at same level as cover price quoted
t1 = TAUA set 1 cent above cover price quoted
t02 = TAUA set 2 cents above cover price quoted, etc.
t03 = TAUA set 3 cents above cover price quoted, etc.
t05 = TAUA set 5 cents above cover price quoted, etc.
t10 = TAUA set 10 cents above cover price quoted, etc.
a = active high reset price levels for active fnpi and fnpds OOTV(s) settings
apr = prior active high OOTV adjustment price level from TAUA or specified reset.
g = capital gain lock base differential (multiply by 3 for total (gt) when b = FNPI and FNPDS).
gt = captial gain lock total differential, total differential from total short-term move.
ae = time am est
pe = time pm est
tp = current trading price (bid, last print)
Example:
g c .70 rs t05 b f fr .80 g .10 gt .30
Click on http://echovectorvest.blogspot.com/
HiHigh-frequency trading
The examples and perspective in this article may not represent a worldwide view of the subject. Please improve this article and discuss the issue on the talk page. (April 2012) |
Finance series |
---|
- It is highly quantitative, employing computerized algorithms to analyze incoming market data and implement proprietary trading strategies;
- An investment position is held only for very brief periods of time - from seconds to hours - and rapidly trades into and out of those positions, sometimes thousands or tens of thousands of times a day;[4]
- At the end of a trading day there is no net investment position;
- It is mostly employed by proprietary firms or on proprietary trading desks in larger, diversified firms;
- It is very sensitive to the processing speed of markets and of their own access to the market;
- Many high-frequency traders provide liquidity and price discovery to the markets through market-making and arbitrage trading; high-frequency traders also take liquidity to manage risk or lock in profits.
CONTENTS[hide] |
[EDIT]HISTORY
[edit]Market growth
[EDIT]HIHIGH-FREQUENCY TRADING STRATEGIES
- Market making
- Ticker tape trading
- Event arbitrage
- High-frequency statistical arbitrage
External videos | |
---|---|
Example of a High Frequency portfolio |
[edit]Market making
These strategies appear intimately related to the entry of new electronic venues. Academic study of Chi-X's entry into the European equity market reveals that its launch coincided with a large HFT that made markets using both the incumbent market, NYSE-Euronext, and the new market, Chi-X. The study shows that the new market provided ideal conditions for HFT market-making, low fees (i.e., rebates for quotes that led to execution) and a fast system, yet the HFT was equally active in the incumbent market to offload nonzero positions. New market entry and HFT arrival are further shown to coincide with a significant improvement in liquidity supply.[32]
[edit]Ticker tape trading
[edit]Event arbitrage
[edit]Statistical arbitrage
[EDIT]LLLOW-LATENCY STRATEGIES
[EDIT]EIEFFECTS
"The fast-growing practice of high-frequency trading, in which traders place vast flurries of securities trades, is speeding up execution times for all investors, making it cheaper to buy or sell and posing no risk to small investors." - Chicago Board Options Exchange[35]
[EDIT]CCONTROVERSY
This article may contain too much repetition or redundant language. Please helpimprove it by merging similar text or removing repeated statements. (February 2012) |
"Misconceptions respecting flash technology have, to date, stirred a passionate but ill informed debate."[60]
"First it is difficult to address concerns that may result, particularly when there is no empirical data to support such a result. Furthermore, we do not view technology that instantaneously aggregates passive and aggressive liquidity as creating a two-tier market. Rather, flash technology democratizes access to the non-displayed market and in this regard, removes different "tiers" in market access. Additionally, any subscriber of Direct Edge can be a recipient of flashed orders."[60]
[EDIT]AADVANCED TRADING PLATFORMS
[EDIT]NQuOTES AND REFERENCES
- ^ a b "Regulatory Issues Raised by the Impact of Technological Changes on Market Integrity and Efficiency", IOSCO Technical Committee, July 2011, retrieved 2011-07-12
- ^ a b c Irene Aldridge (July 8, 2010). "What is High Frequency Trading, After All?". Huffington Post. Retrieved August 15, 2010.
- ^ "Advances in High Frequency Strategies", Complutense University Doctoral Thesis (published), December 2011, retrieved 2012-01-08
- ^ http://www.youtube.com/watch?v=FGHbddeUBuQ What is High Frequency Trading (video)
- ^ a b Ellen Brown (April 23, 2010). "Computerized Front-Running". CounterPunch. Retrieved May 8, 2010.
- ^ "The Microstructure of the Flash Crash: Flow Toxicity, Liquidity Crashes and the Probability of Informed Trading",Journal of Portfolio Management, October 2010, retrieved 2012-01-08
- ^ a b c d e f g h i j k l "Trade Worx / SEC letters". April 21, 2010. Retrieved September 10, 2010.
- ^ Aldridge, Irene (July 26, 2010). "How profitable is high frequency trading". Huffington Post.
- ^ a b c d e f g h i j k Lauricella, Tom (October 2, 2010). "How a Trading Algorithm Went Awry". The Wall Street Journal.
- ^ a b c d e f Mehta, Nina (1 Oct 2010). "Automatic Futures Trade Drove May Stock Crash, Report Says". Bloomberg.
- ^ a b c d e f g h Bowley, Graham (1 Oct 2010). "Lone $4.1 Billion Sale Led to ‘Flash Crash’ in May". The New York Times.
- ^ a b c d e f Spicer, Jonathan (1 Oct 2010). "Single U.S. trade helped spark May's flash crash". Reuters.
- ^ a b c d e Goldfarb, Zachary (1 Oct 2010). "Report examines May's 'flash crash,' expresses concern over high-speed trading". Washington Post.
- ^ a b c d Popper, Nathaniel (1 Oct 2010). "$4.1-billion trade set off Wall Street 'flash crash,' report finds". Los Angeles Times.
- ^ a b c d Younglai, Rachelle (5 Oct 2010). "U.S. probes computer algorithms after "flash crash"". Reuters.
- ^ a b c d e Spicer, Jonathan (15 Oct 2010). "Special report: Globally, the flash crash is no flash in the pan". Reuters.
- ^ Huw Jones (July 7, 2011). "Ultra fast trading needs curbs -global regulators". Reuters. Retrieved July 12, 2011.
- ^ a b "Patience and Finance", Bank of England, Sept. 02 2010, retrieved Sept. 10, 2010
- ^ a b CHARLES DUHIGG (July 23, 2009). "Stock Traders Find Speed Pays, in Milliseconds". New York Times. Retrieved Sept. 10, 2010.
- ^ a b c Geoffrey Rogow,Eric Ross Rise of the (Market) Machines, The Wall Street Journal, June 19, 2009
- ^ High frequency finance and the hedge fund category of the future
- ^ Aite Group Survey
- ^ a b Jeremy Grant (Sept. 02, 2010). "High-frequency trading: Up against a bandsaw". Financial Times. Retrieved Sept. 10, 2010.
- ^ Aldridge, Irene (2009), High-Frequency Trading: A Practical Guide to Algorithmic Strategies and Trading Systems (Wiley),ISBN 978-0-470-56376-2
- ^ Hendershott T., Jones C.M. and A.J. Menkveld (2010): \Does algorithmic trading improve liquidity?", Journal of Finance
- ^ "Citigroup to expand electronic trading capabilities by buying Automated Trading Desk", The Associated Press(International Herald Tribune), July 2, 2007, retrieved July 4, 2007
- ^ Cartea, Á. and S. Jaimungal (2012) : Modeling Asset Prices for Algorithmic and High Frequency Trading. Available at SSRN: http://ssrn.com/abstract=1722202
- ^ Guilbaud, Fabien and Pham, Huyên, Optimal High Frequency Trading with Limit and Market Orders (2011). Available at SSRN: http://ssrn.com/abstract=1871969
- ^ Avellaneda M. and S. Stoikov (2008): High frequency trading in a limit order book", Quantitative Finance, 8(3), 217-224
- ^ Cartea, Á., S. Jaimungal and J. Ricci (2011) : Buy Low Sell High : A High Frequency Trading Perspective. Available at SSRN: http://ssrn.com/abstract=1964781
- ^ Cartea, Á. and S. Jaimungal (2012) : Risk Metrics and Fine Tuning of High Frequency Trading Strategies. Available at SSRN: http://ssrn.com/abstract=2010417
- ^ The studies are available athttp://papers.ssrn.com/sol3/papers.cfm?abstract_id=1624329 andhttp://papers.ssrn.com/sol3/papers.cfm?abstract_id=1722924
- ^ "The World Of High Frequency Trading: 6 Primary Strategies", www.T3Live.com, retrieved September 15, 2010
- ^ Rob Iati, The Real Story of Trading Software Espionage,AdvancedTrading.com, July 10, 2009
- ^ a b c d High-Frequency Trading Good For Small Investors: CBOE, September 5, 2010
- ^ a b c d How High Frequency Trading Benefits All Investors
- ^ a b "Terrence Hendershott, Charles M. Jones, and Albert J. Menkveld. Does Algorithmic Trading Improve Liquidity?",Journal of Finance, 2010
- ^ Terrence Hendershott, Charles M. Jones, and Albert J. Menkveld 2010, p. 33.
- ^ Terrence Hendershott, Charles M. Jones, and Albert J. Menkveld 2010, p. 6.
- ^ Terrence Hendershott, Charles M. Jones, and Albert J. Menkveld 2010, p. 35.
- ^ http://www.nanex.net/Research/ExhibitA/ExhibitA.html
- ^ Dodgy tickers, The Economist, March 8, 2007
- ^ Pleasures and Pains of Cutting-Edge Technology Mar 19, 2007
- ^ "London Stock Exchange Group to acquire MillenniumIT for US$30m (£18m)" (Press release). The London Stock Exchange. 2009-09-16.
- ^ "Turquoise confirms it is the world's fastest trading platform" (Press release). Turquoise. 2010-10-20.
- ^ "Milliseconds are focus in algorithmic trades". Reuters. 2007-05-11.
- ^ Moving markets Shifts in trading patterns are making technology ever more important, The Economist, Feb 2, 2006
- ^ Braithwaite, Tom (2010-05-07). "Watchdogs under pressure on market swings". Financial Times. Retrieved 2010-05-08.
- ^ a b c "What happened on May 6th?". CME Group. 2010-05-18.
- ^ Michael Corkery, Wall Street Journal, September 13, 2010,High Frequency Traders Saved the Day
- ^ a b "Findings Regarding the Market Events of May 6, 2010". 2010-09-30.
- ^ Scannell, Kara (2010-10-01). "Report: Algorithm Set Off 'Flash Crash' Amid Stressed Market". The Wall Street Journal. Retrieved 2010-10-01.
- ^ Pritzke, Marc (2010-10-01). "Die Spur führt nach Kansas"(in German). Der Spiegel.
- ^ Browning, E.S. (2007-10-15). "Exorcising Ghosts of Octobers Past". The Wall Street Journal (Dow Jones & Company): pp. C1–C2. Retrieved 2007-10-15.
- ^ [1] Lauricella, Tom, and McKay, Peter A. "Dow Takes a Harrowing 1,010.14-Point Trip," Online Wall Street Journal, May 7, 2010. Retrieved May 9, 2010
- ^ Jesse Westbrook (Oct 19, 2010). "NYSE's Niederauer Expects More Firms to Face Expanded Market-Maker Rules".Bloomberg.
- ^ Chairman Mary Schapiro U.S. Securities and Exchange Commission (September 22, 2010). "Remarks Before the Security Traders Association".
- ^ a b c Gillian Tett (Sept. 09, 2010). "What can be done to slow high-frequency trading?". Financial Times. Retrieved Sept. 10, 2010.
- ^ Bart Chilton (Sept. 06, 2010). "Rein in the cyber cowboys".Financial Times. Retrieved Sept. 10, 2010.
- ^ a b c d Direct Edge (November 20, 2009). "Direct Edge's November 20, 2009 comment letter about the proposed ban on flash orders.". Retrieved September 7, 2010.
- ^ Ellen Brown, CounterPunch, 23 April 2010, Computerized Front-Running
[EDIT]SSEE ALSO
- Pump and dump
- Algorithmic trading
- Market maker
- Statistical arbitrage
- Data mining
- Erlang (programming language) used by Goldman Sachs
- Mathematical finance
- Computational finance
- Complex event processing
- Quantitative trading
- Flash trading
- Flash Crash
[EDIT]EEXTERNAL LINKS
- The Future and Challenges of High- Frequency Trading
- BusinessWeek.com - SEC Risks Harm With High-Frequency Trading Curbs, CME CEO Says
- Regulatory Issues Raised by the Impact of Technological Changes on Market Integrity and Efficiency, Technical Committee of the International Organization of Securities Commissions, July, 2011
- Detailed description of high-frequency trading - Tradeworx Inc
- Preliminary Findings Regarding the Market Events of May 6, 2010, Report of the staffs of the CFTC and SEC to the Joint Advisory Committee on Emerging Regulatory Issues, May 18, 2010
- Findings Regarding the Market Events of May 6, 2010, Report of the staffs of the CFTC and SEC to the Joint Advisory Committee on Emerging Regulatory Issues, September 30, 2010
- The Microstructure of the ‘Flash Crash’: Flow Toxicity, Liquidity Crashes and the Probability of Informed Trading, David Easley (Cornell University), Marcos López de Prado (Tudor Investment Corp., RCC at Harvard University) and Maureen O'Hara (Cornell University), The Journal of Portfolio Management, Vol. 37, No. 2, pp. 118–128, Winter 2011
- The Flash Crash: The Impact of High Frequency Trading on an Electronic Market, Andrei A. Kirilenko (Commodity Futures Trading Commission) Albert S. Kyle (University of Maryland; National Bureau of Economic Research (NBER)) Mehrdad Samadi (Commodity Futures Trading Commission) Tugkan Tuzun (University of Maryland - Robert H. Smith School of Business), October 1, 2010
- The G-BOT Algorithmic Trading Project - T. Gastaldi (University of Rome)
- Where is the Value in High Frequency Trading?, Álvaro Cartea (Universidad Carlos III de Madrid, Spain) José Penalva (Universidad Carlos III de Madrid, Spain), November, 2010
- 10 Videos on High Frequency Trading
- UK Government Foresight Report, 'The Future of Computer Trading in Financial Markets' - Supplementary Materials, Research and Reviews.
- High-frequency trading : 'What is it? What is the problem? What should be done?' - Finance Watch's report 'Investing not betting', page 27 to 37, April, 2012.
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