Finanial Solutions Aggregator for Forex Brokers and Crypto ...

Forex Aggregation – Advantages

Forex Aggregation – Advantages submitted by Hellterskelt to bitcoin_is_dead [link] [comments]

Forex Aggregation

Forex Aggregation submitted by ososru to Bitcoin4free [link] [comments]

Forex Aggregation – In House Developed Or Ready to Use Solution

Forex Aggregation – In House Developed Or Ready to Use Solution submitted by Leka213 to CryptocurrencyToday [link] [comments]

Forex Aggregation – In House Developed Or Ready to Use Solution

Forex Aggregation – In House Developed Or Ready to Use Solution submitted by Hellterskelt to bitcoin_is_dead [link] [comments]

Forex Aggregation – Advantages

Forex Aggregation – Advantages submitted by ososru to Bitcoin4free [link] [comments]

Forex Aggregation

Forex Aggregation submitted by Hellterskelt to bitcoin_is_dead [link] [comments]

Forex Aggregation

Forex Aggregation submitted by Leka213 to CryptocurrencyToday [link] [comments]

Forex Aggregation

Forex Aggregation submitted by Rufflenator to 3bitcoins [link] [comments]

Forex Aggregation – In House Developed Or Ready to Use Solution

Forex Aggregation – In House Developed Or Ready to Use Solution submitted by Rufflenator to 3bitcoins [link] [comments]

Forex Aggregation – In House Developed Or Ready to Use Solution

Forex Aggregation – In House Developed Or Ready to Use Solution submitted by ososru to Bitcoin4free [link] [comments]

Forex Aggregation – Advantages

Forex Aggregation – Advantages submitted by Rufflenator to 3bitcoins [link] [comments]

ForexEcho is a news aggregator website that delivers all the latest high impact forex news that moves markets. Our goal is to provide financial traders with news on key economic indicators from reputable and authoritative sources that are both timely and relevant, day in and day out.

ForexEcho is a news aggregator website that delivers all the latest high impact forex news that moves markets. Our goal is to provide financial traders with news on key economic indicators from reputable and authoritative sources that are both timely and relevant, day in and day out. submitted by blenderify to shamelessplug [link] [comments]

Citigroup Inc, one of the top three banks in the Forex exchange market, has announced it would sever its ties with two-third of foreign exchange platforms. This will be a significant blow for FX traders and businesses that are now known as liquid aggregators

Citigroup Inc, one of the top three banks in the Forex exchange market, has announced it would sever its ties with two-third of foreign exchange platforms. This will be a significant blow for FX traders and businesses that are now known as liquid aggregators submitted by Kipyegonn to ethtrader [link] [comments]

forex volume aggregator

People often complain that volume is an issue in forex due to it being decentralized so why isn't there anyone that's created a website for taking the aggregate of all volumes?
submitted by gorge_r9k to Forex [link] [comments]

Is forex tick data streamed from one broker enough to gauge an approximation of the "real volume"?

Forex is decentralized so it's very hard to gauge the real volume of the pairs. I can't imagine streaming tick data from multiple major forex brokers to aggregate their data just to determine the volume. It'd be too much work for an individual trader like me, and too much work for my computer, too.
So I was instead thinking of using the tick data streamed from the one broker that I'm using to derive approximate volume, which I hope will be close enough to the actual volume.
I thought of a few ways to use the tick data streamed from my broker's MT4:
A. calculate the sum of the number of ticks from a given time window (ex: number of ticks from the last 30 seconds)
B. calculate the sum of the "Volume" values of the ticks from a given time window (in this case, the "Volume" means MQL4's built-in variable Volume, not the actual volume)
And then do some further calculations, such as generating moving averages on A or B.
One possible problem that will probably degrade the quality of the above calculations would be that MT4's EA can drop newer ticks if the previous onTick() event is still running when the newer ticks arrive.
I am not using any live data yet. Currently, I'm only using historical tick data downloaded from truefx.com and histdata.com to do my back tests; both websites' tick data seem to be good enough for me.
Has anyone used tick volume from a single data source to derive approximate volume with acceptable level of accuracy successfully? How reliable is my method of gauging forex volume?
submitted by twistedmush to algotrading [link] [comments]

Real Supply & Demand in FOREX with Precision Part Two

Real Supply & Demand in FOREX with Precision Part Two
So yesterday I created the first part to the 'post' Today I'll continue it.
All markets, equities, cars, widgets, groceries, bonds and even forex are driven by volume. Without volume there is no movement as it's the market maker to entice the trader to aggressively buy or sell based upon their sentiments of direction.
So let's first put into perspective market sentiment and what it is for this posts purpose.
Sentiment is the psychological pressure of trader expectations in movement. It's visible through intermarket analysis and even some indexes when the indexes are properly cross referenced. But sentiment is visible even when candles stop their climb or when buying pressure supports the prices on an attempt to move lower. What comes after sentiment builds it's pressure is the path of least resistance and that's really what the markets are doing. Following the path of least resistance with volume as the rivers boundaries.
Volume in foreign exchange is real.
Retail traders think that because the market is decentralized that volume isn't available. Well, the broker you connect to, and the prime broker or bank that they connect to, they source their pricing with risk management modules by analyzing aggregated volume. Aggregation is a grouping of FX liquidity streams (that all include volume levels) into one hub of liquidity housed inside a limit order book. Volume is not made available to you though. It's the playground of the banks and if you're going to have access to a tool that allows the masses to dilute their returns do you think they would let you have it freely? Nope! They would though lobby for laws (Dodd-Frank, FIFO etc etc come to mind here) they all make it more difficult for you to trade!!!! Opacity!!! But volume is very real, it only needs proper aggregation!
So how do we find valuable opportunities when studying the charts? First off, if you study the charts alone you're doing yourself a great disservice! EURUSD in any time frame is just a representation of a relationship between two currencies. You need to study the value of the underlying currencies!
What that provides you is precision entries. Let's call the entry on Candle 12 (an arbitrary number). On candle 12 you see USDCHF spike higher, that would indicate that EURUSD is going to drop 96% of the time! Oh a little insight! So you take a position short EURUSD on candle 12 in expectation that the relationship between the two currencies is going to go lower because of the strength in the Dollar.
But remember, exchange rate fluctuation is the path of least resistance. So at the point where you have found your entry short in EURUSD, there is the opposite consideration. What if I am wrong? What it if goes the other way? At what price would it show me the opposite direction and how long do I have to wait to confirm a reversal? Candle 12 is magical. It tells you what you need. You see, in ALL instances, extremes high or lows of charts are seen by changes in what's called bid/ask bounce. When bid ask bounce is breached it's giving you sentiment, volume and price all shifting directions. If candle 12 is the candle short, then the high immediately prior to candle 12 is your reversal point!
I guarantee you this is the intersection of buyers and sellers, and when one defeats the other the market changes direction. This is true for all of the entries here, if price reversed before it reached a profitable exit then the reverse would in fact be at the opposite extreme prior to the entry candle.
So we go back and visit the adage buy low/sell high but what happens in between? Proper analysis is an active participation. And just as your analysis says you should buy or sell, your analysis should also tell you how the market is reacting in the middle. If there's no change or breach in bid/ask bounce the trend is still moving.
In the attached chart. When an entry signal is confirmed, the immediate high or low prior to that entry becomes the exact reversal point. (I have circled them in yellow) In most of the opportunities shown that stop loss is a mere 2.2 pips away from the entry price and there are no reversals that were required and all signals were profitably identified. No I did not trade them, this is live analysis that runs continually. Of all the signals there is ONE blue X in the center region of the chart that almost gave a sell signal but price pressures remained in tact and thus bullish. The analysis identifies over 100 pips in movement within a range of 35 pips overall. And none of it with lagging analysis.
With proper analysis, you can maximize your returns by comprehensively understanding all market conditions. You'll minimize your losing trades to negligible frequencies, your gains will be maximized and you'll see precisely how the market moves, turns, breathes and follows the path of least resistance.
Now my purpose here is to develop market transparency for the little guy. Sure my posts attract trolls because the trolls have been burned by their own trading ignorance. So they attack those that strive for and deliver something better, in fact most of them don't know how to trade to save their life and that's their anger. I could show you a few of them who have had accounts with companies I advise or am principal of - but there are privacy rights to respect. Do I do this free? On here of course. Is it a business? I've spent over a million dollars in just research, but when I experienced how expensive it was to obtain true transparency I knew there were benefits to providing this information to retail traders.
https://preview.redd.it/367rn2d6p3s51.jpg?width=1345&format=pjpg&auto=webp&s=e99e1604a078b6aa0916f32be91ce16bc5196320
submitted by iTradeSocial to u/iTradeSocial [link] [comments]

How much money would it cost to setup high-frequency trading?

I worked with many HFT startups and I have a pretty good idea of the initial costs that such trading shops have.
Data: High-frequency strategies are data-intensive, so you need to get the best data providers at the tick level (level 3). That’s expensive. Depending on the market you are in (forex, futures, bonds, etc) the cost could vary. FX is even more complex, because of its highly fragmented nature, so they will need to have a broad view of all of them. Each provider cost could start from $5k per month each, up to $50k per month
Servers: You will need power. A decent server (please don’t use the cloud), could cost you 20k at least. It needs to have 32-cores at least. You can rent a dedicated server, and its cost could start from $2k per month
Collocation: That powerful server must be placed inside a collocated environment. The idea is to reduce the latency as much as you can, so being close to the exchanges/venues is the best choice. These data centers will charge you for your server space and for the connectivity you use (cross-connection). This varies considerably depending on the markets you are in.
Software: this would be the most expensive piece of your setup. Remember, that the software is the brain of your operation. Not only needs to get ALL the data from the exchanges/venues but normalize it, store it, manipulate it, and prepare it to be consumed by your strategies(s) that will be doing tons of different calculations based on the data they receive. And all that must be done in a fraction of milliseconds (hopefully within 10–50 microseconds)
On top of that, you must be sure, that you will have all the different modules in place: price aggregators, order management systems (OMS), execution management systems (EMS), smart order routing (SOR), liquidity manager (LM), risk management systems (RMS). and any interface you may need (to databases, storage, monitoring systems, reporting, etc)
Cost-wise, all of this will depends on what you choose. If you go with an off-the-shelf solution (not recommended, cheaper, you don’t own anything, slow), or you start your own development (time to market +1 year, very costly). The cost could vary between $300K to $1M
People: you will need human resources. This is not a one-guy operation. You will need to have software engineers, quantitative analysts, and researchers. Think about 150k /year at the low end.
Brokers/Prime Brokers: you will need to open up a brokerage account to have access to the trading venues. They will require you to have a minimum capital to trade (besides the commissions/fees they may charge). So, that adds up to your initial setup cost.
Conclusions
It’s a very lucrative business but is hard to get started. Usually, startups try to start small and grow as they see profits, but that always falls into failure. If you do that, you will fail to have all the above points I’ve listed.
Your initial investment is high, and keeping in mind that after having all these startup costs, all your infrastructure in place, and the software ready to run, your first profitable trades could start to come in after 6 to 12 months of operations.
I hope my question is not as vague as the others…
Please, let me know if I was missing something else, so we can add it to this list 😎

Ariel Silahian
http://www.sisSoftwareFactory.com/blog
submitted by silahian to quant_hft [link] [comments]

THROW YOUR FD's in FDS

Factset: How You can Invest in Hedge Funds’ Biggest Investment
Tl;dr FactSet is the most undervalued widespread SaaS/IT solution stock that exists
If any of you have relevant experience or are friends with people in Investment Banking/other high finance, you know that Factset is the lifeblood of their financial analysis toolkit if and when it’s not Bloomberg, which isn’t even publicly traded. Factset has been around since 1978 and it’s considered a staple like Bloomberg in many wealth management firms, and it offers some of the easiest to access and understandable financial data so many newer firms focused less on trading are switching to Factset because it has a lot of the same data Bloomberg offers for half the cost. When it comes to modern financial data, Factset outcompetes Reuters and arguably Bloomberg as well due to their API services which makes Factset much more preferable for quantitative divisions of banks/hedge funds as API integration with Python/R is the most important factor for vast data lakes of financial data, this suggests Factset will be much more prepared for programming making its way into traditional finance fields. According to Factset, their mission for data delivery is to: “Integrate the data you need with your applications, web portals, and statistical packages. Whether you need market, company, or alternative data, FactSet flexible data delivery services give you normalized data through APIs and a direct delivery of local copies of standard data feeds. Our unique symbology links and aggregates a variety of content sources to ensure consistency, transparency, and data integrity across your business. Build financial models and power customized applications with FactSet APIs in our developer portal”. Their technical focus for their data delivery system alone should make it stand out compared to Bloomberg, whose UI is far more outdated and complex on top of not being as technically developed as Factset’s. Factset is the key provider of buy-side portfolio analysis for IBs, Hedge funds, and Private Equity firms, and it’s making its way into non-quantitative hedge funds as well because quantitative portfolio management makes automation of risk management and the application of portfolio theory so much easier, and to top it off, Factset’s scenario analysis and simulation is unique in its class. Factset also is able to automate trades based on individual manager risk tolerance and ML optimization for Forex trading as well. Not only does Factset provide solutions for financial companies, they are branching out to all corporations now and providing quantitative analytics for them in the areas of “corporate development, M&A, strategy, treasury, financial planning and analysis, and investor relations workflows”. Factset will eventually in my opinion reach out to Insurance Risk Management a lot more in the future as that’s a huge industry which has yet to see much automation of risk management yet, and with the field wide open, Factset will be the first to take advantage without a shadow of a doubt. So let’s dig into the company’s financials now:
Their latest 8k filing reported the following:
Revenue increased 2.6%, or $9.6 million, to $374.1 million compared with $364.5 million for the same period in fiscal 2019. The increase is primarily due to higher sales of analytics, content and technology solutions (CTS) and wealth management solutions.
Annual Subscription Value (ASV) plus professional services was $1.52 billion at May 31, 2020, compared with $1.45 billion at May 31, 2019. The organic growth rate, which excludes the effects of acquisitions, dispositions, and foreign currency movements, was 5.0%. The primary contributors to this growth rate were higher sales in FactSet's wealth and research workflow solutions and a price increase in the Company's international region
Adjusted operating margin improved to 35.5% compared with 34.0% in the prior year period primarily as a result of reduced employee-related operating expenses due to the coronavirus pandemic.
Diluted earnings per share (EPS) increased 11.0% to $2.63 compared with $2.37 for the same period in fiscal 2019.
Adjusted diluted EPS rose 9.2% to $2.86 compared with $2.62 in the prior year period primarily driven by an improvement in operating results.
The Company’s effective tax rate for the third quarter decreased to 15.0% compared with 18.6% a year ago, primarily due to an income tax expense in the prior year related to finalizing the Company's tax returns with no similar event for the three months ended May 31, 2020.
FactSet increased its quarterly dividend by $0.05 per share or 7% to $0.77 marking the fifteenth consecutive year the Company has increased dividends, highlighting its continued commitment to returning value to shareholders.
As you can see, there’s not much of a negative sign in sight here.
It makes sense considering how FactSet’s FCF has never slowed down:
https://preview.redd.it/frmtdk8e9hk51.png?width=276&format=png&auto=webp&s=1c0ff12539e0b2f9dbfda13d0565c5ce2b6f8f1a

https://preview.redd.it/6axdb6lh9hk51.png?width=593&format=png&auto=webp&s=9af1673272a5a2d8df28f60f4707e948a00e5ff1
FactSet’s annual subscriptions and professional services have made its way to foreign and developing markets, and many of them are opting for FactSet’s cheaper services to reduce costs and still get copious amounts of data and models to work with.
Here’s what FactSet had to say regarding its competitive position within the market of providing financial data in its last 10k: “Despite competing products and services, we enjoy high barriers to entry and believe it would be difficult for another vendor to quickly replicate the extensive databases we currently offer. Through our in-depth analytics and client service, we believe we can offer clients a more comprehensive solution with one of the broadest sets of functionalities, through a desktop or mobile user interface or through a standardized or bespoke data feed.” And FactSet is confident that their ML services cannot be replaced by anybody else in the industry either: “In addition, our applications, including our client support and service offerings, are entrenched in the workflow of many financial professionals given the downloading functions and portfolio analysis/screening capabilities offered. We are entrusted with significant amounts of our clients' own proprietary data, including portfolio holdings. As a result, our products have become central to our clients’ investment analysis and decision-making.” (https://last10k.com/sec-filings/fds#link_fullReport), if you read the full report and compare it to the most recent 8K, you’ll find that the real expenses this quarter were far lower than expected by the last 10k as there was a lower than expected tax rate and a 3% increase in expected operating margin from the expected figure as well. The company also reports a 90% customer retention rate over 15 years, so you know that they’re not lying when they say the clients need them for all sorts of financial data whether it’s for M&A or wealth management and Equity analysis:
https://www.investopedia.com/terms/f/factset.asp
https://preview.redd.it/yo71y6qj9hk51.png?width=355&format=png&auto=webp&s=a9414bdaa03c06114ca052304a26fae2773c3e45

FactSet also has remarkably good cash conversion considering it’s a subscription based company, a company structure which usually takes on too much leverage. Speaking of leverage, FDS had taken on a lot of leverage in 2015:

https://preview.redd.it/oxaa1wel9hk51.png?width=443&format=png&auto=webp&s=13d60d2518980360c403364f7150392ab83d07d7
So what’s that about? Why were FactSet’s long term debts at 0 and all of a sudden why’d the spike up? Well usually for a company that’s non-cyclical and has a well-established product (like FactSet) leverage can actually be good at amplifying returns, so FDS used this to their advantage and this was able to help the share’s price during 2015. Also, as you can see debt/ebitda is beginning a rapid decline anyway. This only adds to my theory that FactSet is trying to expand into new playing fields. FactSet obviously didn’t need the leverage to cover their normal costs, because they have always had consistently growing margins and revenue so the debt financing was only for the sake of financing growth. And this debt can be considered covered and paid off, considering the net income growth of 32% between 2018 and 2019 alone and the EPS growth of 33%
https://preview.redd.it/e4trju3p9hk51.png?width=387&format=png&auto=webp&s=6f6bee15f836c47e73121054ec60459f147d353e

EBITDA has virtually been exponential for FactSet for a while because of the bang-for-buck for their well-known product, but now as FactSet ventures into algorithmic trading and corporate development the scope for growth is broadly expanded.
https://preview.redd.it/yl7f58tr9hk51.png?width=489&format=png&auto=webp&s=68906b9ecbcf6d886393c4ff40f81bdecab9e9fd

P/E has declined in the past 2 years, making it a great time to buy.

https://preview.redd.it/4mqw3t4t9hk51.png?width=445&format=png&auto=webp&s=e8d719f4913883b044c4150f11b8732e14797b6d
Increasing ROE despite lowering of leverage post 2016
https://preview.redd.it/lt34avzu9hk51.png?width=441&format=png&auto=webp&s=f3742ed87cd1c2ccb7a3d3ee71ae8c7007313b2b

Mountains of cash have been piling up in the coffers increasing chances of increased dividends for shareholders (imo dividend is too low right now, but increasing it will tempt more investors into it), and on top of that in the last 10k a large buyback expansion program was implemented for $210m worth of shares, which shows how confident they are in the company itself.
https://preview.redd.it/fliirmpx9hk51.png?width=370&format=png&auto=webp&s=1216eddeadb4f84c8f4f48692a2f962ba2f1e848

SGA expense/Gross profit has been declining despite expansion of offices
I’m a bit concerned about the skin in the game leadership has in this company, since very few executives/board members have significant holdings in the company, but the CEO himself is a FactSet veteran, and knows his way around the company. On top of that, Bloomberg remains king for trading and the fixed income security market, and Reuters beats out FactSet here as well. If FactSet really wants to increase cash flow sources, the expansion into insurance and corp dev has to be successful.
Summary: FactSet has a lot of growth still left in its industry which is already fast-growing in and of itself, and it only has more potential at its current valuation. Earnings September 24th should be a massive beat due to investment banking demand and growth plus Hedge fund requirements for data and portfolio management hasn’t gone anywhere and has likely increased due to more market opportunities to buy-in.
Calls have shitty greeks, but if you're ballsy October 450s LOL, I'm holding shares
I’d say it’s a great long term investment, and it should at least be on your watchlist.
submitted by WannabeStonks69 to wallstreetbets [link] [comments]

Is forex tick data streamed from one broker enough to gauge an approximation of the "real volume"?

Forex is decentralized so it's very hard to gauge the real volume of the pairs. I can't imagine streaming tick data from multiple major forex brokers to aggregate their data just to determine the volume. It'd be too much work for an individual trader like me, and too much work for my computer, too.
So I was instead thinking of using the tick data streamed from the one broker that I'm using to derive approximate volume, which I hope will be close enough to the actual volume.
I thought of a few ways to use the tick data streamed from my broker's MT4:
A. calculate the sum of the number of ticks from a given time window (ex: number of ticks from the last 30 seconds)
B. calculate the sum of the "Volume" values of the ticks from a given time window (in this case, the "Volume" means the MQL4's built-in variable Volume, not the actual volume)
And then do some further calculations, such as generating moving averages on A or B.
One possible problem that will probably degrade the quality of the above calculations would be that MT4's EA can drop newer ticks if the previous onTick() event is still running when the newer ticks arrive.
I am not using any live data yet. Currently, I'm only using historical tick data downloaded from truefx.com and histdata.com to do my back tests; both websites' tick data seem to be good enough for me.
Has anyone used tick volume from a single data source to derive approximate volume with acceptable level of accuracy successfully? How reliable is my method of gauging forex volume?
submitted by twistedmush to Forex [link] [comments]

[P] Forex machine learning strategy with Python: features processing

Hi, i’m preparing data (in Pandas) for a machine learning Forex strategy. Data comes from FRED, FXCM, Alpha vantage ecc. How could different features be aggregated in a pandas dataframe? For example fundamental data with price time series (GBPUSD + technical indicators + GDP + interest rates ecc). There is a problem with date adaptation, a feature is daily while others generally monthly. I know scaling and features selection/reduction with PCA but i’m interested in preprocessing and joining of features with different scale/values/timeframe. Please tell me a detailed process in pandas or Scikit Learn to obtain fundamental and price features perfectly merged and ready for a machine learning training/test. From cleaning to scaling. Then many ML models like Random trees or Svm will be compared choosing the best performer. Thank you very much.
submitted by fedejuvara86 to MachineLearning [link] [comments]

¿Replicar mi portfolio en otra divisa es una buena idea?

Estoy re-armando mi "lazy-portfolio" que básicamente va a consistir en IWDA + EIMI (entre ambos al 90%) y eventualmente en unos años AGGU (bonos, hasta el 10% e ir subiendo a medida que pasen los años). Mi objetivo es quedarme comprado de acá a 10 o 15 años COMO MINIMO y comprar todos los meses mi cuota de tickers.
Como tenía armada una posición en VTI (all US market), al desarmarla me quedaron USD que usé para empezar a armar IWDA (USD) y acá me surgió una duda para la cual no encontré grandes fuentes de referencia.
IWDA también cotiza en EUR, bajo otro ticker, y yo podría armar mi posición (o replicarla) en esta divisa, o simplemente quedarme en USD. Es el mismo caso para los otros dos tickers, todos cotizan en EUR y yo podría comprarlos en esta moneda.
Mi método de fondeo al broker es en EUR ya que las transferencias SEPA me son mucho más baratas que las SWIFT, con lo cual si yo persiguiera un portfolio en USD, debería sumar un costo de FOREX para salir de mi banco (ya que mi dinero está en USD) y luego nuevamente pasar a USD en el broker para comprar el ticket de IWDA. Si bien las comisiones por estas transformaciones son "bajas", mi plan es a largo plazo y quiero intentar optimizarlo donde se pueda.
Entonces, me surgieron estas dudas:
1 - ¿es mejor que evite el doble forex e ir directo al ticker en EUR? Este cotiza en el exchange de Amsterdan, pero yo entiendo que el ETF sigue igual domiciliado en Irlanda, con lo cual a nivel taxes sigue conviniendo, indistintamente de la moneda en la que compre el ticker.
2 - ¿Sería buena estrategia diversificar la divisa de este portfolio? Podría replicar mi posición de manera de que quede 50% en USD y 50% en EUR. A priori me suena que es mala idea por fees, pero quiero entender todo el panorama. Para poner un ejemplo, vi en otros subs gente "enojada" porque la ganancia por la suba del ticker de IWDA se la comió la caída del USD con respecto al EUR (siendo ellos residentes europeos).
3- Estoy en el fixed price tier de Interactive Brokers. Cada compra cuesta 5USD (precio fijo, no importa la cantidad) y de forex tendré entre 2/3 USD más. Y si no compro nada en un mes me cobran 10USD. Esto me hizo pensar que a la hora de rebalancear, quizas sería mejor idea tener un portfolio con solo dos ETF, como VWRA + AGGU. ¿Qué opinión les parece esto? Igual la pregunta 1 es válida para este caso también.
Les dejo links a los diferentes ETFS:
IWDA (todo el mercado en paises desarrollados):
https://www.ishares.com/uk/individual/en/products/251882/
EIMI (todo el mercado en paises emergentes, es casi todo china):
https://www.ishares.com/uk/individual/en/products/264659/ishares-msci-emerging-markets-imi-ucits-etf
AGGU (bonos)
https://www.ishares.com/uk/individual/en/products/291772/ishares-core-global-aggregate-bond-ucits-etf-fund
VWRA (de Vanguard, todo el mercado, pero sigue otro indice)
https://global.vanguard.com/portal/site/loadPDF?country=nl&docId=21869
submitted by dddmmmx to merval [link] [comments]

Is forex tick data streamed from one broker enough to gauge an approximation of the "real volume"?

Forex is decentralized so it's very hard to gauge the real volume of the pairs. I can't imagine streaming tick data from multiple major forex brokers to aggregate their data just to determine the volume. It'd be too much work for an individual trader like me, and too much work for my computer, too.
So I was instead thinking of using the tick data streamed from the one broker that I'm using to derive approximate volume, which I hope will be close enough to the actual volume.
I thought of a few ways to use the tick data streamed from my broker's MT4:
A. calculate the sum of the number of ticks from a given time window (ex: number of ticks from the last 30 seconds)
B. calculate the sum of the "Volume" values of the ticks from a given time window (in this case, the "Volume" means MQL4's built-in variable Volume, not the actual volume)
And then do some further calculations, such as generating moving averages on A or B.
One possible problem that will probably degrade the quality of the above calculations would be that MT4's EA can drop newer ticks if the previous onTick() event is still running when the newer ticks arrive.
I am not using any live data yet. Currently, I'm only using historical tick data downloaded from truefx.com and histdata.com to do my back tests; both websites' tick data seem to be good enough for me.
Has anyone used tick volume from a single data source to derive approximate volume with acceptable level of accuracy successfully? How reliable is my method of gauging forex volume?
submitted by twistedmush to quant [link] [comments]

Forex Market Makers (Targeting Liquidity) 🎯 - YouTube NEXUS 2 0 Crypto Liquidity Aggregator XStream Aggregator - The Smartest FX Order Execution Engine Forex Inception 3 - Market Makers & Liquidity - YouTube A financial information aggregator for investors - City Falcon LPs, PBs, WTF? Liquidity aggregation explained

Soft-FX Liquidity Aggregator solution for collection of forex, crypto, stocks, commodities and indices liquidity, matching and execution of clients' trading orders and effective risk-management Forex Factory Desktop news aggregator Post # 1; Quote; First Post: Jul 27, 2012 8:07am Jul 27, 2012 8:07am oneightwenty Joined Feb 2012 Status: Member 532 Posts. I don't really know if i'm posting in the right section, or if i'm allowed to do this, but: I wrote a program in python that fetches forexfactory's news items and displays them in a textbox with a link to the actual article. Any ... Financial Solutions Aggregator. Search for the sought-for partners that hit the spot! or. Search. Broker's CRM; Forex Broker Licensing; Liquidity Provider; MT4/MT5 Bridge Providers; Platform Providers; Risk Management; Social Trading; Software Development; Traders’ Room Provider; Trading Platform; White Label Solutions; Adenasoft. Description: Adenasoft is a global financial solutions ... Fxmoneytrader - is a tool which assists you to become a successful trader. Latest news from the best sources. Articles, videos, advice. Stay with us! Forex Factory is the best news aggregator for foreign exchange traders. It connects traders with the markets and to each other. Forex Factory's News section aggregates financial, economic, and forex news from hundreds of publishers across the world. Reddit. Reddit calls itself "The front page of the Internet." You can curate and customize your feed to get the latest updates, insights, memes ... The latter company, founded in 2010 and headquartered in Cyprus, is offering a spot forex aggregator. Simply put, Quotix’s aggregator works as a price feed and bridge linking a broker to multiple liquidity providers. The broker hence can compare prices and choose the best as well as benefit from the huge liquidity pool Quotix represents. The results of using Quotix’s technology should be ... Thomson Reuters Dealing Aggregator addresses FX algorithmic execution and liquidity management requirements across multiple venues, providing sophisticated tools for management and analysis to FX traders.The growing market in aggregation and algorithmic trading has seen significant adoption of the platform, across the global, regional and buy-side client base of Thomson Reuters.

[index] [16814] [29403] [26486] [25273] [23636] [1849] [22482] [24152] [9465] [7835]

Forex Market Makers (Targeting Liquidity) 🎯 - YouTube

If you don't know where the liquidity in the Forex Market is, you will be lost. 💯 In this video you will learn the basic insight of liquidity and how the MAR... Forex Market Makers (Targeting Liquidity) 🎯 - Duration: 38:42. PROFICIENT FX 49,415 views. 38:42. 95% Winning Forex Trading Formula - Beat The Market Maker📈 - Duration: 37:53. ... XStream Aggregator - The Smartest FX Order Execution Engine financialogix. Loading... Unsubscribe from financialogix? Cancel Unsubscribe. Working... Subscribe Subscribed Unsubscribe 3. Loading ... The Tip TV Daily Finance Show covers all asset classes ranging from currencies (forex), equities, bonds, commodities, futures and options. Guests share their high conviction market opportunities ... Forex Market makers are the service provider who make currency trading possible. Learn how they operate and how their behaviour influences which direction pr... NEXUS 2.0 is a next-generation liquidity aggregation engine developed by Broctagon Fintech Group. Powered by smart order routing, NEXUS 2.0 bridges the worlds of forex and crypto with its ...

http://binary-optiontrade.ziabeldebiweb.tk