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Algorithmic Trading

A place for redditors to discuss quantitative trading, statistical methods, econometrics, programming, implementation, automated strategies, and bounce ideas off each other for constructive criticism. Feel free to submit papers/links of things you find interesting.
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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focus for their data delivery system alone should make it stand out compared to Bloomberg, whose UI is far more outdated and complex on top of not being as technically developed as Factset’s. Factset is the key provider of buy-side portfolio analysis for IBs, Hedge funds, and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]

APIs offered by brokers and data platforms

I’ve been looking for a broker that has an API for index futures and ideally also futures options. I’m looking to use the API to build a customized view of my risk based on balances, positions, and market conditions.
Searching the algotrading sub I found many API-related posts, but then when I actually read them and their comments, I found they’re often lacking in real substance. It turns out many brokers or data services that have APIs don’t actually support index futures and options via the API, and instead they focus on equities, forex, or cypto. So here’s the list of what I’ve found so far. This isn’t a review of these brokers or APIs and note that I have a specific application in mind (index futures and futures options). Perhaps you’re looking for an API for equities, or you just want data and not a broker, in which case there may be a few options. Also, I’m based in the US so I didn’t really look for brokers or platforms outside the US.
If you have experience with these APIs, please chime in with your thoughts. Also, I may have missed some brokers or platforms. If I did or if you see anything that needs correction please let me know.

Platform Notes
ADM Investor Services No API
Ally Invest Does not support futures instruments
Alpaca Only supports US Equities
Alpha Vantage Does not support futures instruments
AMP Broker with a huge number of platforms available including some with APIs
ApexFutures No API
Arcade Trader No API
AvaTrade Does not support futures instruments
Backtrader Not a data feed; otherwise looks cool but also looks like a one-man shop
Cannon Trading Broker with a variety of platforms, some have API access such as TT
Centerpoint No API
Charles Schwab API does not support futures instruments
Cobra No API
Daniels Trading No API
Discount Trading Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs
Edge Clear Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs
Eroom Now part of Dashprime. Offer a variety of APIs including CQG, TT, CBOE's Silexx, and others via FIX.
ETNA Trader Only supports equities, options (including multi-legs), ETFs, Mutual Funds (Forex with cryptocurrencies coming soon)
ETrade API seems robust but OAuth authorization needs to be refreshed via login once per 24 hours
Futures Online No API
Gain Capital Futures API available, based on .NET; unsure if they are open to retail clients
GFF Brokers Broker with a large number of platforms including some with API access
High Ridge Futures Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs
iBroker API available; contact them for more info
IEX Cloud Looks great but does not support futures instruments
Infinity Futures JSON API available; contact them for more info
Interactive Brokers Client Web API looks promising if clunky
Intrinio Supports futures instruments but is expensive
Koyfin No API
Lightspeed C++ API available
marketstack API for equities available. Does not support futures instruments.
Medved Trader Windows app with a streaming API to various data sources and brokers. See comment below about API beta access.
NinjaTrader Does not support futures options
Norgate Data Not a broker; supports futures data for $270/year
Oanda Forex only; API last updated in 2018
Optimus Futures Broker with a large number of available platforms including some with API access
Phillip Capital Broker with a large number of available platforms including some with API access
polygon.io Expensive but looks slick; does not support futures instruments
Quandl API looks solid; $49/monthly for personal use, does not allow distributing or sharing data; not a broker
Quantconnect Does not expose raw data
Quantopian Does not expose raw data
Quantower Software that connects to multiple brokers and data feeds; API to their software via C# interface
Saxo Markets Broker with extensively documented API
Stage 5 Trading API available through Trading Technologies
Straits Financial Broker with several platforms available including some with APIs such as CQG, R
Sweet Futures Broker with a large number of available platforms including some with API access
TastyWorks There's an unofficial Python API
TenQuant.io Does not support futures instruments
ThinkorSwim Does not support futures instruments via the API
Tiingo Free account tier but does not support futures instruments
TradePro Broker with a number of platforms available; unclear if any are available with API access
Tradier Free developer API account for delayed data but does not support futures instruments
TradeStation Nice looking API docs and supports futures instruments; requires opening an account and a minimum balance of $100k and there’s no trial available
TradeFutures4Less Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs
TradingTechnologies API looks robust; pricing starts at $700/month
TradingView Does not expose data API
Tradovate Technologies API exists, documentation unknown; need to talk to their account team
Wedbush Futures Broker with several platforms offered, a few of which have API access
WEX .NET/COM only; pricing not disclosed on website
Xignite Pricing not disclosed on website but they do support futures instruments
Yahoo Finance API Available through RapidAPI or via direct access; but it’s discontinued and unreliable
Zaner Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs

Wow, this list grew longer than I originally thought it would be. If you spot a mistake, please let me know and I’ll correct it.
Edit:
- added Lightspeed API - updated Dashprime to indicate some of the APIs available - added Medved Trader to table - added marketstack to table
submitted by theloniusmunch to thewallstreet [link] [comments]

Integration with Financial Excel Add-In – Excel Price Feed

Integration with Financial Excel Add-In – Excel Price Feed

https://preview.redd.it/j4acwxvwfvr51.jpg?width=1920&format=pjpg&auto=webp&s=77df789ef696a2cdecf2e3266b550083ade09d59
Today we are happy to announce an integration with the financial Excel add-in – Excel Price Feed. Excel Price Feed is easy to use and featureful add-in for Excel owned and distributed by Coderun Technologies Ltd. It was launched in early 2019 and is regularly updated with new features, for EOD Historical Data the add-in has excellent support of Fundamental and End of Day APIs.
https://preview.redd.it/c2m0g8c3gvr51.png?width=723&format=png&auto=webp&s=4968e0e7ac2d1f4f31485ac441dadacdaf7bc825
  • Excel Price Feed is an Add-in that includes 100+ new Excel formulas for live, historical, and fundamental market data.
  • Markets include stocks, stock indices, stock options, mutual funds, ETFs, forex, commodities, and cryptocurrencies.
Learn More and download the plugin on Excel Price Feed page.
Please note that you should have both subscriptions to use this plugin with our data: from EOD Historical Data and from Excel Price Feed. Our subscriptions do not include add-in licensing and it should be ordered separately.
submitted by EOD_historical_data to EODHistoricalData [link] [comments]

Factset DD

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
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

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:

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%

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.

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

Increasing ROE despite lowering of leverage post 2016

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.

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.
submitted by WannabeStonks69 to investing [link] [comments]

What is the best Forex data feed?

I am looking for an Forex data feed with an API, what are some of the best options?>
submitted by marcusrider to Forex [link] [comments]

Is there a free datafeed which I can feed backtrader with?

I wanted to say "Free Live Datafeed" but seems I cannot edit the title.
I am new to forex trading/algotrading, but am reading up on it recently. I wrote some simple EAs with metatrader but would like to switch to a general purpose programming language like python, which is when I came across backtrader.
With metatrader, I have the option of opening a demo account with a broker and I can run my EA against the data from the broker. I read in the documentation (please correct me if I'm wrong) that backtrader supports live feeds from three brokers, namely IB, Oanda and Live Trading.
Before I open an account with them, I would like to know if their demo accounts allow me the access to the data that I need to feed backtrader with. So my question do any of their demo accounts allow me to access the live data to feed backtrader?
Another question which is not directly related, in the Oanda page https://developer.oanda.com/rest-live/introduction/ it says that the API version 1.0 will be deprecated. And backtrader seems to be using the version 1.0 https://cookbook.backtrader.com/documentation/live/oanda/oanda/. Does anyone know if version 2.0 support will be added to backtrader?
submitted by i_want_to_ask_smth to algotrading [link] [comments]

Is there any source that can provide forex data that includes volume as well?

Just need some intra-day data sources for forex pairs that also include the given estimated volume at the time (I know there is no perfect source for volume data since it is dependent on the broker). is the only way to get the volume data through a websocket feed or API offered by some brokers or is there a 3rd party source you guys can possibly share with me?
Thank you for any responses!
submitted by zame530 to algotrading [link] [comments]

A review of data/APIs for newcomers

I was thinking that we should have a better reference to acquiring data than what is currently on the sidebar.
Here are a few links I have collected that I think will be helpful to others. Please post your own links and mention your experiences with these data providers.
On acquiring data:
On APIs:
submitted by jvrssc to algotrading [link] [comments]

Few Technical Questions regarding Chainlink

I have several technical questions regarding Chainlink:
  1. Chainlink runs on Ethereum currently, Smart contracts cost is in Link, which is ERC-20 token, right? Will Chainlink somehow be connected to other Smart Contract platforms eventually (EOS, Tron, NEO, etc.), because section 2.2 in whitepaper mentions "we intend for it to support all leading smart contract net-works"? If yes, does NEO, Tron, EOS developers have to write adapter for Chainlink network or Chainlink has to develop those adapters or is it open source?
  2. Which kind of sources of data Law industry requires? Digital signatures or some law software API (e.g. digital death certificate)? From what I read about OpenLaw and Rocket Lawyer, all they need Chainlink for is fiat payments for now.
  3. Chainlink testnet has following oracles listed:
Crypto Prices - useful for fintech industry, derivatives, lending etc.
Flight Data
Shipping Data
Streamr marketplace - https://www.streamr.com/marketplace
Streamr has forex prices and some other data feeds.
RTrade API
Oracles are actually external adapters, right? "External adapters are services which the core of the Chainlink node communicates via its API with a simple JSON specification. ". They can be developed by any developers. In this article it is mentioned that external adapters can receive response: https://docs.chain.link/v1.0/docs/developers . Does that means that external adapters are all developed by outside developers and that output of Chainlink oracles (various payments or data pushed to legacy systems) are also external adapters?
Which industries can profit from these sources of data right now?
  1. Financial obviously - streamr forex, crypto prices
  2. Insurance industry - flight data for flight insurance now, and later then weather and asset prices for crop insurance, IoT for fire or door for breach etc.
  3. Law - fiat payments
  4. Trade finance and supply chain - shipping data, flight data now, and later GPS, ERP systems, customs data
Anything else?
submitted by QuantLink to LINKTrader [link] [comments]

【翻译Quora上一篇问答】中国是否正在面临一次银行危机(谈到房地产) by phoebeDD on 2016-10-04

Is China really facing a banking crisis? What are its origins?
(中国是否正在面对一次银行危机?其根源又是什么?)



According to a recent article titled China facing full-blown banking crisis, world's top financial watchdog war
ns published in the Telegraph:
(根据近期电讯文章报道:“世界顶级金融观察者发出警告:中国正在面临全面的银行危机”)
China has failed to curb excesses in its credit system and faces mounting risks of a full-blown banking crisis
(中国已对债务违约失去控制,他们正在面对随之而来的全面性银行危机)
(中国债务/GDP 占比图)


Financial Crises

International Economics

The Economy

China

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以下为回答部分:





Robin Daverman, Dealmaker
Written Sep 27


Ah, but maybe you want to look around a bit and see how China’s total debt is compared with other economies, like this?
(你可能想看看其他经济体与中国的债务情况相比是怎么样的,如下图)

(G10债务分布图)
If you put China’s data on this chart, it will be somewhere around Canada and New Zealand. Guess Which Country Has Debt Of Nearly 1000% Of GDP... Shocking, isn’t it?
如果你将中国的数据插入上图进行比较的话,中国的数据大约会在加拿大和新西兰之间。猜猜看哪个国家债务大约是自己GDP的10倍....(英国)非常震惊吧
UK has almost 1000% Debt-to-GDP ratio, compared with China’s < 300% Debt-to-GDP ratio, mostly because of that over-sized financial debt - at the end of the day, the government must stand behind it. On top of that, the UK has no resource to sell, hardly any industry left, going through a divorce with EU, and almost never ever meets her fiscal targets. And yet, UK, with its near 1000% debt-to-GDP ratio, is still viewed as the gold standard among safe havens. PRESENTING: The Rosetta Stone Of The Entire Sovereign Debt Crisis Why? Because UK issues debt in her own currency. And who prints the pound? The UK government.
英国的债务/GDP占比将近1000%而中国只是小于300%,其原因是其过于庞大的金融债务——政府最终将不得不为之站台。在此之上,英国没用可出售的资源,没有任何本国工业,正在脱离欧盟,而且英国基本上从来没有达成其财务目标。即使如此,英国仍然被某些传媒视为安全经济体的黄金标准。其原因就是英债都以英镑的方式结算。那么是谁印英镑的呢?英国政府。
Then you take a look at Japan, wow that’s 600%+ debt-to-GDP ratio! But - Japan’s debt is not only mostly internal, in Japanese Yen, but also with 0% or even negative interest. You can roll this kind of debt over practically forever. That’s why people have been yelling about Japanese debt for the last 20 years, and nothing happens.
然后你看看日本,将近600%的债务/GDP占比!但是,日本的债务几乎都是内部的,以日元的形式出售的债务,而且日本是0利率甚至是负利率。实际上这种债务你可以无限积累下去(经济常识:如果是负利率,政府只要保持债务不变,多出来的部分会自行消失)。这就是为啥人们对日债担心了20年但屁事没有发生。
Then you take a look at those economies that have blown up on debt:
Argentina: Government/Sovereign debt in USD, with jurisdiction in New York!Greece: Government/Sovereign debt in Euro, with jurisdiction in Brussels!Iceland: External financial debt → nationalized into Government/Sovereign debt in USD and Euro alone was 700%+ GDP in 2008, with jurisdiction in New York and Brussels.
然后你看看那些因债务问题毁掉的经济体:
阿根廷:政府/主权债务以美元形式结算,其裁判权在纽约!希腊:政府/主权债务以欧元方式结算,其裁判权在布鲁塞尔!冰岛:外部金融债务→债务国有化后2008年政府/主权债务以美元和欧元的形式达到GDP的700%,其裁判权在纽约和布鲁塞尔
Then you look at China, with her debt almost entirely internal, in Chinese RMB to Chinese citizens, government debt at 55%, lower than the US, Japan, and EU average, in her own currency. China’s external debt is about 9% of GDP, globally ranked 184th (less than North Korea, similar to Kosovo) - anyway you look at it, it’s hardly the kind of material to make a banking crisis. China is borrowing a little bit from her own piggy bank. Argentina/Greece/Iceland were borrowing a lot from the Mafia.
然后你看看中国,中国的债务基本都是内部以人民币结算的。中国政府债务只占总债务的55%,比美国,日本和欧盟都要低,再次强调,其债务以人民币结算。中国外部债务只占GDP的9%,全球排行184位(比朝鲜低,比科索沃高)。无论怎么看,你都不会看到中国有任何银行危机的迹象。中国只是向其国内贪心的银行借钱。阿根廷/希腊/冰岛可是像美国欧盟这些黑手党借钱。
PS: The most significant increase in China’s debt is in the financial sector, driven by rising real estate price (which means higher value of housing loans). Right now, the Chinese government is basically using it as a tool to do macro-economic engineering. The goal is to cap urban growth in top tier cities (Beijing, Shanghai, etc.) and push the economic growth to second- and third- tier cities (Hangzhou, the city that just hosted G20, is an example.http://www.g20.org/English/Hangzhou/About/index.html Now you can look back and see why the Chinese government decided to host G20 in a city nobody has ever heard of). This is clearly stated by the Chinese government like 100 times since last year in the official news channels. The reason? Top tier Chinese cities like Shanghai (25 million) already have more city residents than the whole nation of Australia! The metropolitan area of Shanghai (44 million) has more people than the entire population of Canada! In one city! Beijing’s population grew by 8 million within the last decade! The place is simply full.List of cities in China by population and built-up area
PS: 中国最显著的债务增长是在其金融领域内不断升高的房价造成的(不断增高的房贷造成债务问题)。现在中国政府正在利用房价作为宏观经济调控的工具。其目的是限制一线城市的城市化进程和加速二三线城市的发展(刚刚举办了G20的杭州就是个例子,现在你就能知道为啥中国政府将G20放在一个没人听说过的城市举行了)。这些政策中国政府已经在官媒上宣布了无数次。原因就是一线城市,例如上海(2500万人口),其居民数量比阿根廷全国人口还要多!上海都市圈(4400万人口)的人口数量比加拿大全国还要多!北京人口数量在过去的10年内增长了800万!这些城市的人口数量已经饱和了。
In addition to real estate prices, the Chinese government is also doing stuff like restricting residents permits, disallowing second or third homes, even restricting jobs to local residents, everything to say “this place is full. We have these other nice choices, with lower housing prices. Go there.” Young people complaining about housing prices in tier-one cities? But that’s the whole point. The debt you have to take on to live in tier-one cities SHOULD SCARE YOU OFF. The Chinese government is trying to stop the influx of people pouring into tier-one cities, and get these smart and energetic youths to go build two, three, four, five. … more Shanghai’s in other parts of China. 1.4 billion people can’t all fit into tier-one cities.
除了以房地产为手段,中国政府也加强控制了居住证的发放,禁止第二/三套房买入甚至对本地居民的工作种类进行限制,这些都是为了表达一个意思:这些地方都人满为患了。二三线城市有更低的房价和更好的生活条件,快点去那里吧!年轻人都在抱怨一线城市的高房价?但这就是中国政府想要的。你在一线城市生存需要的代价会把你吓退。中国政府正在尝试控制一线城市的人口流入而让有技术和充满活力的年轻人去建设二三四五线城市——让更多的上海出现在国家的其他地方。14亿人口是没可能全部都聚集在一线城市的。
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Paul Denlinger, Involved in China economics study
Written Sep 27


There is too much debt, and a lot of it is likely to turn into bad debt, but that does not equal a banking crisis.
是因为中国贷款太多了,而这些贷款大多数会变成不良贷款,但这些都不等银行危机
Banking crisis may be a nice term to bandy around and get clicks and headlines, but does not really explain what is going on.
银行危机或许是一个十分吸引眼球的头条,但是根本就不能解释实际的情况
There was a lot of debt financing, especially after the 2008 subprime mortgage crisis in the US. In order to keep the economy on a steady keel, the Chinese government, through its banks, pumped money to Chinese state-owned enterprises, in order to keep high employment and maintain an image of “growth”. A lot of this money then found its way into the underground banking system through “wealth management products” and other means. A lot of this has turned into bad debt.
中国政府有过很多次债务融资,特别是08年美国次贷危机之后。为了稳住经济增长,中国政府通过银行将大量人民币注入到国企内以维持就业率和高增长的形象。但这些钱最终大都以理财产品和其他形式流进了地下钱庄。这些大部分都变成了不良贷款。
Another problem area, which frequently overlaps with the “wealth management products” is the local government financing vehicle used to fund local property development, which I have discussed here: Paul Denlinger's answer to Why does China have so many ghost towns?
另一个有问题的领域,和“理财产品”有莫大关联的,就是地方政府为当地基础建设所采用的金融工具(我在这个地方有详细的分析:https://www.quora.com/Why-does-China-have-so-many-ghost-towns/answePaul-Denlinger?srid=tR&share=22b99cfc
What is likely to happen in China is that growth will slow down in some areas, while there will be certain newer parts of the economy which will continue to grow. If the Chinese government is able to support the newer parts of the economy and help them to grow, while cutting back on loans to the weaker parts of the economy, it may be able to handle this transition better.
最可能发生的情况就是中国的经济增长将会放缓,但是肯定会用新的增站点。如果中国政府能支持新的增长点而且能减低夕阳工业的不良贷款率,那么或许能更好地度过过渡期。
This is exactly what the Chinese government is trying to do and you can read about it here:Here is how China is going to quietly save its economy
这些正是中国政府正在尝试去做的,你可以读读这个文章了解一下:http://www.scmp.com/news/china/economy/article/2022491/china-deploys-policy-banks-stealth-mission-stimulate-growth
So, if you are expecting there to be a dramatic run on the banks, and the Chinese people to take to the streets and overthrow the Chinese Communist Party, and become a full-blown democracy like Taiwan, Japan or South Korea, you are very likely to be disappointed.
所以,如果你是期待一次强烈的bank run(自行百度啥是bank run),然后中国人民上街推翻TG,中国大陆变成与台湾,日本韩国一样的政体,那么你要失望了。
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Nikhil Ambhorkar, Self studied Finance.
Written Sep 26


Is China facing a Banking crisis?
中国是在面临一个银行危机吗?
Yes.

Is it facing a full blown Banking crisis?
中国正在面临一个全面性的银行危机吗?
No.

Combined debt of China is almost 300% of its GDP. But the the categorized in 4 parts as it is shown in the image with the question too.
中国的总债务大概是GDP的300%。但是分在了如图所示的4个领域内。
The corporate debt has the lion's portion of the total debt. The household debt and non corporate debt are nothing to worry about because it is less many other developed countries and has some room to grow.
公司债务在总债务中占了大头。个人债务和非公司债务根本没啥可担心的因为这些比大多数发达国家还要低所以还有增长的空间。
Government Debt is not too big when compared to standards set by many global institutions like IMF, World Bank, etc.
政府债务以多数国际组织,例如世行和IMF,设定得标准来看其实不高。
The only major concern which is of a serious magnitude is the corporate debt. This is also reiterated by many economists.
最主要的关注点就是公司债务了。许多经济学家都重申了这点无数次了。
Now the problem with China is that data that comes out of major Chinese institutions is murky so their are many different types of estimates by many different institutions but the common theme in it is corporate debt and its size.
中国最大的问题就是中国国内组织公布的数据来源不清晰所以不同的国际组织对中国经济的实际情况估算会不一样。但所有组织最关心的都是中国的公司债务与其规模。
Corporate debt consists of debt owned by state owned corporations and private corporations. Private corporations in China are generally crowded out by the state owned corporations because of connections and political agenda.
公司债务又分成了国企和私企的债务。中国私企大多数收到国企排挤,这是有政体造成的。
Many state owned corporations have invested into unproductive projects as a result of excess boost given by government after 2008 to prop up the economy. This has resulted in a huge amount of NPAs. So, in all the major problem is state owned corporations piling up huge amount of debt. To solve this problem, the government tried to convert the debt into shares which the bank owns and can recover money through profit dividends but this was one of the causes for last year's stock market crash.
在08年过度的经济刺激政策下,很多国企在许多无效益项目上投了许多钱。这造成了大量的无效能资产。所以,最大的问题是国企堆积了大量债务。为了解决这个问题,政府正在尝试将国企的债务转化为股份,那么银行就能将债务转化为红利而最终将债务收回了。但这造成了上年的股灾.....
Hence, it is a big crisis but not the one government cannot handle with so much trade surplus and forex reserves. But actions are definitely needed to stop it from growing into a bigger problem.
所以,这是一个危机但仍然是政府能控制的,毕竟中国政府有大量贸易顺差和外汇储备。但是仍然需要实际行动来防止事态的扩展。
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XCARD

XCARD’s extensive history and technical know-how of the payment services industry enables it to use modern to provide a swift and smooth user experience.
#XCARD #mbmtoken #Blockchain #Crypto #Payments #BTC #fintech #cryptowallet #cardpayments http://xcard.io/
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Chainlink Technical questions

I have several technical questions regarding Chainlink:
  1. Chainlink runs on Ethereum currently, Smart contracts cost is in Link, which is ERC-20 token, right? Will Chainlink somehow be connected to other Smart Contract platforms eventually (EOS, Tron, NEO, etc.), because section 2.2 in whitepaper mentions "we intend for it to support all leading smart contract net-works"? If yes, does NEO, Tron, EOS developers have to write adapter for Chainlink network or Chainlink has to develop those adapters or is it open source?
  2. Which kind of sources of data Law industry requires? Digital signatures or some law software API (e.g. digital death certificate)? From what I read about OpenLaw and Rocket Lawyer, all they need Chainlink for is fiat payments for now.
  3. Chainlink testnet has following oracles listed:
Crypto Prices - usefull for fintech industry, derivatives, lending etc.
Flight Data
Shipping Data
Streamr marketplace - https://www.streamr.com/marketplace
Streamr has forex prices and some other data feeds.
RTrade API
Oracles are actually external adapters, right? "External adapters are services which the core of the Chainlink node communicates via its API with a simple JSON specification. ". They can be developed by any developers. In this article it is mentioned that external adapters can receive response: https://docs.chain.link/v1.0/docs/developers . Does that means that external adapters are all developed by outside developers and that output of Chainlink oracles (various payments or data pushed to legacy systems) are also external adapters?
Which industries can profit from these sources of data right now?
  1. Financial obviously - streamr forex, crypto prices
  2. Insurance industry - flight data for flight insurance now, and later then weather and asset prices for crop insurance, IoT for fire or door for breach etc.
  3. Law - fiat payments
  4. Trade finance and supply chain - shipping data, flight data now, and later GPS, ERP systems, customs data
Anything else?
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Broker advice needed

I use to trade on 1Broker but then they shutdown. 1Broker provided:
I am looking to use another broker and need some advice.
I looked at whaleclub and simplefx which are both bucket shops but I frequently see user complaints against them which makes me wary. There is also okcoin, bitmex, and bitfinex but they only offer cryptos.
I am thinking of using a USD denominated traditional broker now like Interactive Brokers. I assume I could get my required leverage through options trading. They offer plenty of products. However, I heard their API is subpar. And I am not sure if I need to get my data independently from them or not.
What are your thoughts?
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Raspberry Pi Home Dashboard

I had a few requests of my home dashboard, and wanted to share with everyone how I put it together.
What you'll need:
Step 1: Instructions to Set Up the Raspberry Pi Itself:
Step 2: Set up the HTML File to Display
/home/pi/html
  1. Background.png
  2. Dashboard.html
  3. News.html
  4. Map.html
  5. Stocks.html
  6. ToDo.html
  7. Weather.html
  8. Calendar.html
FINAL Comments. This project probably took me 1h to set up the pi. And 4ish hours stumbling around to get the dashboard set up. My only real outlay was a monitor mount and a new monitor. Best of luck!
EDIT Here is the link for the current version of the dashboard. I removed the traffic for the weekend, but this is the dashboard. I have some formatting I really want to do (headings et al), but this should be a decent start. I have also included the color scheme I used.
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What should you know about the Quantower in 10 facts?

What should you know about the Quantower in 10 facts?
We strive to be as short as possible in this article. More detailed information you can find on Quantower official website. Ok, let’s start:
  1. Quantower is not a Broker, it is — neutral application.
  2. Quantower is for market analysis, order management and trading automation
  3. Quantower works on Windows Desktop (Mac OS or Linux via Win emulators)
  4. Quantower connects to various brokers, exchanges & Data feeds (16 for now)
  5. Quantower has the timeless Free version & Paid functionalities
  6. Quantower was made for trading Crypto, Forex, Futures, Options & Stocks
  7. Quantower has an API
  8. Quantower supports automated-trading
  9. Quantower has modern & beautiful interface
  10. Quantower allows to set up your trading environment as you wish
Here are some screenshots for inspiration:

Default Forex environment

Various chart types

More interface
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Platform Suggestion for Scanner?

I want to create a scanner for forex pairs (and possibly other instruments) based on my personal TA setups to simplify my life and chart time. I wanted to ask the community what platform(s) they would recommend that would allow either scripting such a scanner (within the platform ideally) or have a good data feed and API to feed into something written in python.
Currenly I use Tradingview and Thinkorswim for analysis but both have their constraining limits.
Thanks in advance!
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INVACIO

INVACIO
INVACIO / ICO A Complex of Solutions Grounded in Multi-Agent System Artificial Intelligence
Invacio, found online at Invacio.com, combines artificial intelligence, communications, finance, and big data to “revolutionize every industry it touches.” Find out how it works in our review.
What is Invacio INV? Invacio is an artificial intelligence platform backed by five years of development. Invacio’s platform is called the Multi-Agent System AI (Jean).
Development of the Multi-Agent System AI was led by William James Dalrymple West in consultation with experts from NASA and FB-HHVM. Invacio’s AI works constantly to seek out and mine data from all available data sources. Jean is also able to understand written and spoken language in real-time. She can interpret images and actions. She can even scan the deep web for data, or access live news channels, social media, and 100,000+ live CCTV and satellite streams worldwide.
The ultimate result of all of this data collection, according to the official Invacio website, is “an artificial intelligence so sensitive to the world and its changes the solutions she is reaching stand to revolutionize areas as diverse as big data, communications, research, online privacy, the exchange markets and even security and intelligence.”
Invacio Features Some of the core features of Invacio and its Multi-Agent System AI or Jean platform include:
Deep Learning: Invacio’s distributed AI resolves some of the world’s most complex problems. The platform’s scalable, intelligent environments enable AI to turn noise into data and data into information with unprecedented speed and ingenuity.
Self-Learning Computation: Invacio’s AI continually evolves as it explores and develops its storehouse of streaming and historic data. The AI adapts to circumstantial changes or demands, improving its models through experience and becoming more complex, subtle, and reliable.
Scalable: Invacio’s AI infrastructure is built for stability. Invacio “will be ready for everything the world of big data and AI could demand.”
Invacio Products and Solutions Invacio has a number of products and solutions built on its AI framework, including all of the following:
Network Invacio’s Network is a social network available for consumers and commercial users. The social network is distinguished by features like its AI-backed user-driven information feeds and stickers, including things like real-time stock market tickers.
Network also has detailed charts allowing you to track stocks in real-time, AI-driven market analysis, location-specific user-reviewed content and suggestions, and more. Basically, Invacio’s Network wants to use AI to change the world of social network.
Commercial users, meanwhile, can interact with the platform to make business decisions based on the social data of users.
Invacio Tamius Invacio has a decentralized blockchain banking system called Tamius. Tamius is built upon Invacio’s AI technologies.
The platform integrates crypto and traditional fiat currencies in a single, perfectly secure, user-friendly multi-channel platform that makes high-speed cross-currency and cross-border transactions simple and intuitive.
Tamius aims to revolutionize fiat and cryptocurrency banking overall by providing the functionalities expected of fiat-based banking services along with a number of additional innovations.
Aquila Aquila collects and tracks companies from all of the world’s major stock exchanges, giving the user all of the relevant trading information required in a single UI. Users can login before the markets open to receive end of day predictions for 2995 separate stocks and forex pairs.
Aquila has three core components, including Agnes, Archimedes, and Tomahawk:
Agnes: Agnes provides stock market analysis based on AI, deep learning, and machine learning.
Archimedes: Archimedes is a human/AI hedge fund that allows access to hedge fund level returns on investment to any subscriber independent of their net worth.
Tomahawk: Tomahawk offers long-range trading driven by AI making predictions of future values over a year in advance, allowing access to a lower risk, long-term hedge fund available to anyone regardless of net worth.
Invmail Invmail is an end-to-end encrypted communications platform consisting of email, video conferencing, and voice messaging. The platform uses a zero knowledge server to ensure no record of communication is retained. Sensitive conversations can take place online in complete privacy.
As the Invacio website explains, “Invmail is the online equivalent of having a face to face meeting in a locked bank vault only much more convenient.”
Other Invacio Services Invacio’s other AI services include its commercial and governmental APIs, which include things like voice recognition APIs to help companies and governments develop better services.
Invacio also offers a platform called Alise, which provides users with real-time feedback based on their social media mentions and other media mentions worldwide. It allows companies or individuals to gauge public opinion on an organization, product, or brand. Governments can also use Alise to monitor how potential policies are understood or being discussed by the populace.
Invacio also has a security platform called Invacio Security. This platform is able to monitor an environment for people of interest 24 hours a day, 7 days a week using data collected from CCTV systems. In other words, Invacio Security will monitor thousands of connected CCTV feeds to identify any possible people of interest.
Finally, Invacio has two divisions dedicated to all of the products listed above, including an applied AI division and a research division.
Who’s Behind Invacio INV? Invacio Holdings, Ltd. is headquartered in London, UK. The company was founded by William J D West (Founder and Chief Vision Officer). The idea for Invacio began in early 2010 when West “embarked on a personal quest to learn more about AI”.
The remaining Invacio team includes senior Wall Street executives, coders, scientists, engineers, statisticians, and entrepreneurs.
Invacio INV ICO Conclusion Invacio is an AI platform backed by five years of development. That AI platform is being integrated into a number of different areas. Invacio can scan tens of thousands of CCTV feeds worldwide, for example, to identify a person of interest. Invacio can also be used to monitor cryptocurrency and fiat currency markets, providing detailed analyses and predictions on future market movements.
To learn more about Invacio and how it plans to integrate AI into other aspects of daily life, visit online today at :
INVACIO
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Little Known AI Company Makes World Debut In Front Of United Nations

Founded by William J D West around 5 years ago and developed in stealth mode since then, Invacio is a tech company unlike any other in the world and because of this, it is attracting attention from some fairly high up places. Governmental discussions are ongoing around the world to implement their technology in various ways.
But what is it exactly that invacio do that instigated the invitation to make their worldwide debut presentation (coming out if you will) in front of world leaders at the UNESCAP FDI meeting in Thailand on November the 3rd last year?
The answer to that is quite hard to formulate without going off on multiple tangents all at once, so, I will give a brief outline and then try to cover some more specifics in order that you can try to paint the picture for yourself more clearly…All I will say before launching into this is open your mind and try to see all the potential uses of this technology.
Invacio is primarily an applied artificial intelligence company that has created a multi-agent neural network that analyzes the world’s informational output, digests it, correlates the various disparate facts and ultimately delivers actionable intelligence across any sector of commerce, industry, society or government possible.
Regardless of the source of this data be it: NASAs satellite feeds, live news, digital radio, video broadcasts, social media twitterings etc or live market data from world exchanges or even historical digitized data banks like the National Library of Congress and thousands of others, they are all relentlessly probed and itemized by a system which is self learning and always hungry for more. Since the system was switched on, an ever growing number of proprietary datasets have been created well over 2 billion as this story is being written. Ok, so Invacio has a lot of information from all over the world: but what exactly is its use? And, what can Invacio do that any other information rich organisation with a decent search engine can’t?
Well, this is where it truly comes into its own you see, it doesn’t pull the information together, stick a label on it and forget about it until someone asks for it. No, Invacio actively seeks to place all the information it holds into context with all the rest so that comparisons, parallels and connections can be created. Why? Because their system is designed to understand the world and guide us where it can. An example of this which was given during the presentation to the United Nations was that of crisis management during the Californian wildfires last year – Within a second of the first tweet relating to the fires starting being sent, Jean (that is what they call the full operational system) was aware and rapidly pulling together every type of relevant information available. Everything from geographical data, historically relevant time based records of vineyards (soil composition, state of vines or ripeness of fruits), meteorological details (live conditions and historical in relation to similar events globally)…… you get the picture.
In the second second Jean would have been able to direct the emergency response and do as much as possible to limit the ongoing damage being caused by the fire by predicting the way the emergency would develop having analysed all available information and extrapolating.
As a bonus, in the 3rd second Jean could have told you whether it was worth buying wine futures or no.
That is one example,imagine the benefits of having that kind of analysing power in your sector:
Hedge funds… highly accurate predictions on shares, indices, commodities and forex (Agnes, Archimedes, Aquila and Tomahawk), Market intelligence… knowing what the world is thinking about your brand, competitor, client or product in real time (Alise), Security… maintaining secure facilities through the application of advanced facial recognition through security cameras(Sauron) or alternatively simply plug your organisation straight into Invacio API and pull out the information you need to make your world a better place.
Invacio ICO Invacio are currently undergoing an ICO (initial coin offering) in order to fund the roll out of various divisions that are underpinned by Jean. The coins sold during the sale will be directly connected to the use of Invacios raft of products. Whether they are used to pay whole subscription fees for AI fintech predictive services or to attract a discount against a corporate market intelligence monitoring account through the Alise division these coins will provide a great amount of utility within the Invacio group.
submitted by InvacioOfficial to u/InvacioOfficial [link] [comments]

INVACIO AI Company Makes World Debut In Front Of United Nations

Little Known AI Company Makes World Debut In Front Of United Nations
Founded by William J D West around 5 years ago and developed in stealth mode since then, Invacio is a tech company unlike any other in the world and because of this, it is attracting attention from some fairly high up places. Governmental discussions are ongoing around the world to implement their technology in various ways.
But what is it exactly that invacio do that instigated the invitation to make their worldwide debut presentation (coming out if you will) in front of world leaders at the UNESCAP FDI meeting in Thailand on November the 3rd last year?
The answer to that is quite hard to formulate without going off on multiple tangents all at once, so, I will give a brief outline and then try to cover some more specifics in order that you can try to paint the picture for yourself more clearly…All I will say before launching into this is open your mind and try to see all the potential uses of this technology.
Invacio is primarily an applied artificial intelligence company that has created a multi-agent neural network that analyzes the world’s informational output, digests it, correlates the various disparate facts and ultimately delivers actionable intelligence across any sector of commerce, industry, society or government possible.
Regardless of the source of this data be it: NASAs satellite feeds, live news, digital radio, video broadcasts, social media twitterings etc or live market data from world exchanges or even historical digitized data banks like the National Library of Congress and thousands of others, they are all relentlessly probed and itemized by a system which is self learning and always hungry for more. Since the system was switched on, an ever growing number of proprietary datasets have been created well over 2 billion as this story is being written. Ok, so Invacio has a lot of information from all over the world: but what exactly is its use? And, what can Invacio do that any other information rich organisation with a decent search engine can’t?
Well, this is where it truly comes into its own you see, it doesn’t pull the information together, stick a label on it and forget about it until someone asks for it. No, Invacio actively seeks to place all the information it holds into context with all the rest so that comparisons, parallels and connections can be created. Why? Because their system is designed to understand the world and guide us where it can. An example of this which was given during the presentation to the United Nations was that of crisis management during the Californian wildfires last year – Within a second of the first tweet relating to the fires starting being sent, Jean (that is what they call the full operational system) was aware and rapidly pulling together every type of relevant information available. Everything from geographical data, historically relevant time based records of vineyards (soil composition, state of vines or ripeness of fruits), meteorological details (live conditions and historical in relation to similar events globally)…… you get the picture.
In the second second Jean would have been able to direct the emergency response and do as much as possible to limit the ongoing damage being caused by the fire by predicting the way the emergency would develop having analysed all available information and extrapolating.
As a bonus, in the 3rd second Jean could have told you whether it was worth buying wine futures or no.
That is one example,imagine the benefits of having that kind of analysing power in your sector:
Hedge funds… highly accurate predictions on shares, indices, commodities and forex (Agnes, Archimedes, Aquila and Tomahawk), Market intelligence… knowing what the world is thinking about your brand, competitor, client or product in real time (Alise), Security… maintaining secure facilities through the application of advanced facial recognition through security cameras(Sauron) or alternatively simply plug your organisation straight into Invacio API and pull out the information you need to make your world a better place.
submitted by InvacioOfficial to u/InvacioOfficial [link] [comments]

Best/Cheapest source of live ECN market data feed (FIX API)

Hey guys. Awesome sub you got here. I'm a software engineer and I'm interested in learning more about the forex markets. Before I put any real money down, I want to analyze the data and come up with some hypotheses and backtest them.
I'm looking for a live data feed of prices, volume, market depth, etc that I can use for the analysis.
Do you guys know of a cheap/free source of such data? It needs to be ECN data or as close as possible. And historical data would be nice but not necessary, I'm looking more for a live feed.
I've look at various ECN brokers but they only offer their FIX API to institutional investors with hundreds of millions of USD in trades per month.
The cheapest I've seen is Interactive Brokers, but their minimum account balance is USD10k.
Please let me know if you know of other brokers or have any other ideas about attaining this kind of data.
Thanks
submitted by drkenta to Forex [link] [comments]

[noob] Updating database with external (non form) data

I am not sure if I am missing something obvious here.
Most of the tutorials on Django all deal with getting data from forms, but not with continously updating a database with data from other sources such as external apis.
Example: Every day get data from a couple of API's, do some data aggregation and conversion then update the database with fresh data ready for the user to read. Seems like a VERY common scenario (feed aggregators, forex rates, search engine etc etc).
Django doc has only a section on populating database with initial data using fixtures, but nothing on ongoing updating.
Is there any reason why I shouldn't just write a script using the db api query and then loop through the data and add/edit data as needed? And then use something like Celery or some other task library periodically?
There is also something about making custom Manage.py commands. Is there a reason why this is preferred and not just a standalone script?
submitted by coolstorybro80 to django [link] [comments]

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Universal DDE data feed setup in MultiCharts - YouTube

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