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VPIN Volume Synchronized Probability

Versione demo scaricata: 29

Pubblicato: 16 aprile 2019

Versione attuale: 1.2

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VPIN Volume Synchronized Probability

Indicatori
Roberto Spadim
Versione: 1.2
Aggiornato: 16 aprile 2019
Attivazioni: 5

Easley et al. [2011] proposed a high-frequency estimate of PIN, which they named volume-synchronized probability of informed trading (VPIN). This procedure adopts a volume clock, which synchronizes the data sampling with market activity.

For additional details and case studies of VPIN, see Easley et al. [2013].

A number of studies have found that VPIN indeed has predictive power: Abad and Yague [2012], Bethel et al. [2012], Cheung et al. [2015], Kim et al. [2014], Song et al. [2014], Van Ness et al. [2017], and Wei et al. [2013], to cite a few.

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This indicator is based on Advances in Financial Machine Learning 2018 - Marcos Lopez de Prado book, Page 292.

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This Indicator creates a heatmap based on depth of market of the current symbol or another symbol. Other symbol is useful when you trade futures market and a contract has 'mini' and 'full' split. For example, in Brazil (B3 - BMF&Bovespa), WDO and DOL are future Forex contract of BRL/USD (where 1 DOL = 5 WDO) and big banks work mostly with DOL (where liquidity is important). Please use with M1 timeframe , objects are too small to be displayed at higher timeframes (MT5 limit). The number of level

This indicator sends a message (notification), an email, and plays a custom sound when a Limit (Buy/Sell) or Limit Stop (Buy/Sell) or Take Profit, Stop Loss, Stop Out is executed. A user can change the sound file name, and select if they receive notifications/emails. It runs as an indicator, and only one indicator is locked (used) by a user account/login. Parameters soundFile - sound file Save your file at the terminal folder, for example: " C:\Program Files\MetaTrader 5\Sounds\Order Execute

Teclado trader, é uma BIBLIOTECA que você pode chamar no OnChartEvent para abrir posição de compra/venda/zerar, os botões padrões são: V = venda C = compra Z = zerar posições a mercado S = zerar posições opostas e depois a mercado X = zerar posições opostas Além da função de teclado, é possível mostrar os estados do ExpertAdvisor usando o MagicId, com informação de: lucro mensal, semanal, diario, e posição aberta, para isto use o OnTick, ou qualquer outro evento (OnTimer / OnTrade / OnBookEv

From https://en.wikipedia.org/wiki/Fractional_calculus: Fractional calculus is a branch of mathematical analysis that studies the several different possibilities of defining real number powers or complex number powers of the differentiation operator D This indicator execute fracional differentiation on data, you can select the differentiation D value and execute some tweaks like execute Log(value) before difefrentiation or execute a window normalization on last [diffNormalizeWindo

It's a simple indicator that execute GARCH(1,1) function, it can be used with basis stocks and options, when garch is bellow implied volatility probably implied volatility tend to goes down, and when garch is higher than implied volatility probably implied volatility goes up. Can be used with options trading when buying / selling volatility, for example, buy ATM put and call when garch is higher than implied volatility and sell when it's lower.

This indicator works in Brazil market, it should be used on options symbols. the indicator create 8 buffers, Delta, Gamma, Vega, Rho, Theta, Time(working days), Implied Volatility, R (interest rate), and can be used to view greeks over time. It shouldn't be used to trade, since it's cpu intensive, it's just a historic viewer, you can see what happened with greeks and teach friends :)

This indicator implements the High Low Volatility Estimator based on Advances in Financial Machine Learning 2018 - Marcos Lopez de Prado, page 284. It's a robust estimator using High/Low values from past bars (configurable). It's robusto to Gaps (open/close of days to stock markets) since it's using high/low ration and not the close price. It's interesting when you need to avoid trading at a specific level of volatility

This indicator implements the Rool Model Estimator based on Advances in Financial Machine Learning 2018 - Marcos Lopez de Prado, page 283. It's a spread estimator using trade by trade (copytick) values from last trades (configurable). It works with low liquidity markets as a robust estimator considering the covariance between price diferences. It's interesting when you need to track spread changes

This indicator implements the Corwin and Schultz Estimator based on Advances in Financial Machine Learning 2018 - Marcos Lopez de Prado, page 284. It's a spread estimator using high/low and a rolling window (configurable). It works with low liquidity markets as a robust estimator. It's interesting when you need to track spread changes, more information can be found at Marcos book.

In Kyle’s model, the variable captures price impact. Illiquidity increases with uncertainty about v and decreases with the amount of noise Kyle argues that the market maker must find an equilibrium between profit maximization and market efficiency. This indicator is based on Advances in Financial Machine Learning 2018 - Marcos Lopez de Prado book, Page 288.

Amihud studies the positive relationship between absolute returns and illiquidity. In particular, he computes the daily price response associated with one dollar of trading volume, and argues its value is a proxy of price impact. Despite its apparent simplicity, Hasbrouck [2009] found that daily Amihud’s lambda estimates exhibit a high rank correlation to intraday estimates of effective spread. This indicator is based on Advances in Financial Machine Learning 2018 - Marcos Lopez de Prado book,

Hasbrouck follows up on Kyle’s and Amihud’s ideas, and applies them to estimating the price impact coefficient based on trade-and-quote (TAQ) data. Consistent with most of the literature, Hasbrouck recommends 5-minute time-bars for sampling ticks. This indicator is based on Advances in Financial Machine Learning 2018 - Marcos Lopez de Prado book, Page 289. --- This code can run slow when using big timeframes, it use copytick to get dollar volume, in a next version I will implement a temporary i

Easley et al. study the frequency of trades per trade size, and find that trades with round sizes are abnormally frequent. For example, the frequency rates quickly decay as a function of trade size, with the exception of round trade sizes {5, 10, 20, 25, 50, 100, 200,…}. These authors attribute this phenomenon to socalled “mouse” or “GUI” traders, that is, human traders who send orders by clicking buttons on a GUI (Graphical User Interface). In the case of the E-mini S&P 500, for example, si

A useful feature may be to determine the normal frequency of round-sized trades, and monitor deviations from that expected value. The ML algorithm could, for example, determine if a larger-than-usual proportion of round-sized trades is associated with trends, as human traders tend to bet with a fundamental view, belief, or conviction. Conversely, a lower-than-usual proportion of round-sized trades may increase the likelihood that prices will move sideways, as silicon traders do not typically hol

This script use DIDI+BB indicators and display alerts, send mail, send notifications, and play sounds. Scanner can monitor market watch using ***MARKET*** as symbol name, with all timeframes Inputs: media_lenta=3 media_base=8 media_longa=20 bb_periodo=20 bb_shift=0 bb_deviation=1.96 symbols - Symbol list, separated by ; when using ***MARKET*** symbols from marketwatch will be included wait_interval_between_signals - Seconds between signals, default =60, but high frequency signals should red

This indicator represent option and basis values as a tax, using this formula: Tax = ( ( strike / ( basis - option ) ) - 1 ) * 100 It's not time based (don't use time to expire information) You can set a fixed strike value, and a fixed basis symbol if needed. Some exchanges/brokers don't provide this information at marketdata and that's the only method to use this information when not provided.

This Service, export the account Orders/History Orders/Deals/Position on each new change. It save at a common folder with path = <DATE>\\<Server Name>.<Login>.<DATE>.<filetype>.csv Each file type have an header You can use it to receive OMS changes and source SQL Servers outside metatrader with bash scripts or others tools, each time the file change you can read it and get new updates, it works using SharedRead option when opening/flock the file.

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Versione 1.2 2019.04.16

Included the option of UP/DOWN, or BUY/SELL tick estimator