Live Order Flow And High Frequency Trading Alerts Emini Futures 5th Marc...

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Computerization of the order flow in financial markets began in the early 1970s, with some landmarks being the introduction of the New York Stock Exchange's "designated order turnaround" system (DOT, and later SuperDOT), which routed orders electronically to the proper trading post, which executed them manually. The "opening automated reporting system" (OARS) aided the specialist in determining the market clearing opening price (SOR; Smart Order Routing).Program trading is defined by the New York Stock Exchange as an order to buy or sell 15 or more stocks valued at over US$1 million total. In practice this means that all program trades are entered with the aid of a computer. In the 1980s program trading became widely used in trading between the S&P500 equity and futures markets.In stock index arbitrage a trader buys (or sells) a stock index futures contract such as the S&P 500 futures and sells (or buys) a portfolio of up to 500 stocks (can be a much smaller representative subset) at the NYSE matched against the futures trade. The program trade at the NYSE would be pre-programmed into a computer to enter the order automatically into the NYSE's electronic order routing system at a time when the futures price and the stock index were far enough apart to make a profit.At about the same time portfolio insurance was designed to create a synthetic put option on a stock portfolio by dynamically trading stock index futures according to a computer model based on the Black--Scholes option pricing model.Both strategies, often simply lumped together as "program trading", were blamed by many people (for example by the Brady report) for exacerbating or even starting the 1987 stock market crash. Yet the impact of computer driven trading on stock market crashes is unclear and widely discussed in the academic community.Financial markets with fully electronic execution and similar electronic communication networks developed in the late 1980s and 1990s. In the U.S., decimalization, which changed the minimum tick size from 1/16 of a dollar (US$0.0625) to US$0.01 per share, may have encouraged algorithmic trading as it changed the market microstructure by permitting smaller differences between the bid and offer prices, decreasing the market-makers' trading advantage, thus increasing market liquidity.This increased market liquidity led to institutional traders splitting up orders according to computer algorithms so they could execute orders at a better average price. These average price benchmarks are measured and calculated by computers by applying the time-weighted average price or more usually by the volume-weighted average price.A further encouragement for the adoption of algorithmic trading in the financial markets came in 2001 when a team of IBM researchers published a paper[22] at the International Joint Conference on Artificial Intelligence where they showed that in experimental laboratory versions of the electronic auctions used in the financial markets, two algorithmic strategies (IBM's own MGD, and Hewlett-Packard's ZIP) could consistently out-perform human traders. MGD was a modified version of the "GD" algorithm invented by Steven Gjerstad & John Dickhaut in 1996/7;[23] the ZIP algorithm had been invented at HP by Dave Cliff (professor) in 1996.[24] In their paper, the IBM team wrote that the financial impact of their results showing MGD and ZIP outperforming human traders "...might be measured in billions of dollars annually"; the IBM paper generated international media coverage.As more electronic markets opened, other algorithmic trading strategies were introduced. These strategies are more easily implemented by computers, because machines can react more rapidly to temporary mispricing and examine prices from several markets simultaneously. For example Stealth (developed by the Deutsche Bank), Sniper and Guerilla (developed by Credit Suisse[25]), arbitrage, statistical arbitrage, trend following, and mean reversion.

HFT Live Software For Trading Emini Futures 1st Mar 2013

If you trade the S&P 500 Emini Futures, or trade the Nasdaq, Dow Jones, Rusell mini futures, or if you trade Forex and Crude Oil you need to check out www.sceeto.com for one of the worlds most advanced indicators. A no obligation Free Trial is availible.www.sceeto.com
HFT Live Software For Trading Emini Futures 1st Mar 2013. It's very hard for normal technical analysis to compete thes days with lightning fast high frequency trading sytems. Thats where you need live real time alerts and order flow monitoring software to alert you when a move is happening and not afterwards. One of the best hft software systems out there is sceeto check out our other videos here that explain how it works and also why not sign up for a free trial at http://sceeto.com/user/register


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Neural networksSince the early 1990s when the first practically usable types emerged, artificial neural networks (ANNs) have rapidly grown in popularity. They are artificial intelligence adaptive software systems that have been inspired by how biological neural networks work. They are used because they can learn to detect complex patterns in data. In mathematical terms, they are universal function approximators,[37][38] meaning that given the right data and configured correctly, they can capture and model any input-output relationships. This not only removes the need for human interpretation of charts or the series of rules for generating entry/exit signals, but also provides a bridge to fundamental analysis, as the variables used in fundamental analysis can be used as input.As ANNs are essentially non-linear statistical models, their accuracy and prediction capabilities can be both mathematically and empirically tested. In various studies, authors have claimed that neural networks used for generating trading signals given various technical and fundamental inputs have significantly outperformed buy-hold strategies as well as traditional linear technical analysis methods when combined with rule-based expert systems.[39][40][41]While the advanced mathematical nature of such adaptive systems has kept neural networks for financial analysis mostly within academic research circles, in recent years more user friendly neural network software has made the technology more accessible to traders. However, large-scale application is problematic because of the problem of matching the correct neural topology to the market being studied.In finance, technical analysis is a security analysis discipline used for forecasting the direction of prices through the study of past market data, primarily price and volume.[1] Behavioral economics and quantitative analysis use many of the same tools of technical analysis,[2][3][4][5] which, being an aspect of active management, stands in contradiction to much of modern portfolio theory. The efficacy of both technical and fundamental analysis is disputed by the efficient-market hypothesis which states that stock market prices are essentially unpredictable.ConceptsAverage true range – averaged daily trading range, adjusted for price gaps

Breakout – the concept whereby prices forcefully penetrate an area of prior support or resistance, usually, but not always, accompanied by an increase in volume.

Chart pattern – distinctive pattern created by the movement of security prices on a chart

Cycles – time targets for potential change in price action (price only moves up, down, or sideways)

Dead cat bounce – the phenomenon whereby a spectacular decline in the price of a stock is immediately followed by a moderate and temporary rise before resuming its downward movement

Elliott wave principle and the golden ratio to calculate successive price movements and retracements

Fibonacci ratios – used as a guide to determine support and resistance

Momentum – the rate of price change

Point and figure analysis – A priced-based analytical approach employing numerical filters which may incorporate time references, though ignores time entirely in its construction

Resistance – a price level that may prompt a net increase of selling activity

Support – a price level that may prompt a net increase of buying activity

Trending – the phenomenon by which price movement tends to persist in one direction for an extended period of time

[edit] Types of chartsCandlestick chart – Of Japanese origin and similar to OHLC, candlesticks widen and fill the interval between the open and close prices to emphasize the open/close relationship. In the West, often black or red candle bodies represent a close lower than the open, while white, green or blue candles represent a close higher than the open price.

Line chart – Connects the closing price values with line segments.

Open-high-low-close chart – OHLC charts, also known as bar charts, plot the span between the high and low prices of a trading period as a vertical line segment at the trading time, and the open and close prices with horizontal tick marks on the range line, usually a tick to the left for the open price and a tick to the right for the closing price.

Examples Of Sceeto Tape reading In the New High Frequency Trading Domina...

If you trade the S&P 500 Emini Futures, or trade the Nasdaq, Dow Jones, Rusell mini futures, or if you trade Forex and Crude Oil you need to check out www.sceeto.com for one of the worlds most advanced indicators. A no obligation Free Trial is availible.www.sceeto.com
Examples Of Sceeto Tape reading In the New High Frequency Trading Dominated Markets on the 28th of Febuary 2013 in the S&P 500 Emini Futures. Sceeto monitors all the order flow and hft across the equities and futures markets and alerts you right in your charts live when there is buying and selling order flow pressure instantly. We cover many markets including Crude Oil futures, Dow Ym ,Russell TF, Gold, Forex and more. You can get sceeto for Ninjatrader, TradeStation, Multicharts and Sierra charts . If you want to learn how to trade better on these platforms check out our example videos and also why not try our free trial http://sceeto.com/user/register




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Ticker tape readingSee the main article: Ticker tape



In recent decades with the popularity of PCs and later the internet, and through them, the electronic trading, the chart analysis became the main and most popular branch of technical analysis. But it is not the only one branch of this type of analysis.



One very popular form of technical analysis until the mid-1960s was the "tape reading". It was consisted in reading the market informations as price, volume, orders size, speed, conditions, bids for buying and selling, etc.; printed in a paper strip which ran through a machine called a stock ticker. It was sent to the brokerage houses and to the homes and offices of most active speculators. Such a system fell into disuse with the advent in the late 60's, of the electronic panels.



[edit] Quotation boardAnother form of technical analysis used so far was via interpretation of stock market data contained in quotation boards, that in the times before electronic screens, were huge chalkboards located into the stock exchanges, with data of the main financial assets listed on exchanges for analysis of their movements.[67] It was manually updated with chalk, with the updates regarding some of these data being transmitted to environments outside of exchanges (such as brokerage houses, bucket shops, etc.) via the aforementioned tape, telegraph, telephone and later telex.[68]



This analysis tool was used both, on the spot, mainly by market professionals for day trading and scalping, as well as by general public through the printed versions in newspapers showing the data of the negotiations of the previous day, for swing and position trades.[69]



Despite to continue appearing in print in newspapers, as well as computerized versions in some websites, analysis via quotation board is another form of technical analysis that has fallen into disuse by the majority.