Forex Trading Strategies For Beginners Free PDF Download

ASIC Regulation Thread - Regarding the proposed changes ( Australians effected the most )

I'm hopeless at formatting text, so if you think you can structure this post better take everything i write and put it into an easy to digest way. I'm just going to type out everything i know in text as fast as possible. I'm not a legal expert, I'm not somehow who understands every bit of information in the PDF's below, but i know I'm a retail trader that uses leverage to make profit which is why I'm posting this, in the hope that someone who can run a charge better than me, will.
Some of you are already aware of what might be happening, this is just a post to educate retail traders on changes that might be coming to certain brokers. This effects Australian Customers the most, but also effects those living in other countries that use Australian brokers, such as Pepperstone and others.
Last year in August 2019, ASIC ( Australian Securities and Investments Commission ) was concerned about retail traders going into Forex and Binary options without understanding these instruments properly and started sticking their noses in for tough regulation.
ASIC asked brokers and anyone with interest in the industry to write to them and explain what should and should not change from the changes they proposed, some of the proposed changes are very misguided and come from a lack of understanding exactly how OTC derivatives actually work.
I will provide the link to the paper further down so you can read it yourself and i will provide a link to all the submission made by all parties that sent submissions to ASIC, however the 2 main points of debate are:
1, To reduce the overall leverage available to retail traders to either 20:1 or 30:1. This means people who currently use leverage such as 100:1 to 500:1 and everything in between will be effected the most, even more so are those traders with relatively small accounts, meaning in order to get your foot in the door to trading you will need more capital for it to be viable.
^^ This point above is very important.
2, The removing of Binary options trading, which basically includes products like "Bet if gold will rise to this price in the next 30 seconds" This sort of stuff. So far from all the submissions from brokers and individuals nobody really cares if this changes as far as i know, though if you have concerns about this i would start voicing your disapproval. Though i would not waste your time here, all is pointing to this being eradicated completely with brokers also supporting the changes, I've never used such a product and know very little about them.
^^ This point above isn't very important and will probably be enforced in the future.
Still to this day i see retail traders not understanding leverage, they think of it as "dangerous and scary", it's not, position size is the real danger, not leverage. So ASIC is aiming to limit retail traders access to high leverage, they are claiming it is a way to protect traders who don't really understand what they are getting into by attacking leverage and not the real problem which is position size relative to your capital.
If it was truly about protecting retail traders from blowing up their accounts, they would look for ways to educate traders on "understanding position sizes and why it's important" rather than attacking leverage, but their goal is misguided or has an ulterior motive . I will give you a small example below.
EXAMPLE - We will use 2 demo accounts for demonstration purposes. If you don't understand my example, i suggest you try it for yourself. - Skip if not interested in examples.
Lets say we open 2 demo accounts with $1000 in both, one with 20:1 leverage and one with 500:1 leverage and we open an identical position on both accounts ( say a micro lot '0.01' on EURUSD ). You are safer on the 500:1 account as you don't need to put up as much margin as collateral as you would on the 20:1. If the trade we just opened goes against us and continues against us, the account with 20:1 leverage will run out of free margin a lot faster than the 500:1 account. In this simple example is shows you that leverage is not dangerous but safer and gives you a lot more breathing room. This trade was a small micro lot, so it would take hundreds of pips movements to get margin called and blow up that $1000 on each account. Lets now use a different position size to truly understand why retail traders blow up accounts and is the reason why trading can be dangerous.
This time instead of opening a micro lot of '0.01' on our $1000 dollar demo accounts, lets open a position size much larger, 5 lots. Remember we only have $1000 and we are about to open a position much larger relative to our capital ( which we should never do because we can't afford to do that ) the 20:1 probably wont even let you place that trade if you don't have enough margin as collateral or if you could open the position you would have a very tiny amount of free margin left over, meaning a small pip movement against you will instantly blow up your $1000 account. On the 500:1 account you wouldn't need to put up as much margin as collateral with more free margin if the trade goes bad, but again a small movement could blow up your account. In this example, both accounts were dangerous because the lack of understanding position sizes, opening a position you can't afford to open. This is what the true danger is, not the leverage.
Even in the second example, the higher leverage would "margin call" you out later. So i would go as far to say that lower leverage is more dangerous for you because it margin calls you out faster and just by having a lower leverage doesn't stop you from opening big positions that can blow you up in a 5 pip movement anymore, any leverage size is dangerous if you're opening positions you can't afford to open. This is also taking into consideration that no risk management is being used, with risk management higher leverage is even more powerful.
ASIC believes lowering leverage will stop people opening positions that they can't afford. When the reality is no matter how much capital you have $500, $1000, $5000, $50,000, $500,000, $5,000,000. You don't open position sizes that will blow that capital up completely with small movements. The same thing can happen on a 20:1 or 500:1 account.
Leverage is a tool, use it, if your on a lower leverage already such as 20:1, 30:1 it means your country has been regulated and you already have harder trading conditions. Just remember higher leverage allows you to open larger position sizes in total for the amount of money you own, but the issue is NOT that your using the higher leverage but because you are opening positions you can't afford, for what ever reason that is, the only fix for this is education and will not be fixed by simply lowing leverage, since you can just as easy blow up your account on low leverage just as fast or if not faster.
So what is going on?
There might ( get your tinfoil hats on ) be more that is involved here, deeper than you think, other agendas to try and stop small time retail traders from making money via OTC products, theories such as governments not wanting their citizens to be traders, rather would prefer you to get out there and work a 9 to 5 instead. Effective ways to do this would be making conditions harder with a much larger barrier of entry and the best way to increase the barrier of entry for retail traders is to limit leverage, lower leverage means you need to put up more money, less breathing room for trades, lower potential. They are limiting your upside potential and the downside stays the same, a blown account is a blow account.
Think of leverage as a weapon, a person wielding a butchers knife can probably destroy a person wielding a steak knife, but both knifes can prove fatal. They want to make sure your holding the butter knife then tell you to butcher a cow with it. 30:1 leverage is still workable and can still be profitable, but not as profitable as 500:1 accounts. This is why they are allowing professionals to use high leverage, this gives them another edge over successful retail traders who will still be trying to butcher a cow with a butter knife, while they are slaying limbs off the cow with machetes.
It's a way to hamstring you and keep you away rather than trying to "protect" you. The real danger is not leverage, they are barking up the wrong tree, how convenient to be barking up the very tree most retail traders don't fully understand ( leverage) , pass legislation to make trading conditions harder and at the same time push the narrative that trading is dangerous by making it even harder. A full circle strategy to make your trading conditions worse, so you don't succeed.
Listen carefully especially if you trade with any of the brokers that have provided their submissions to ASIC. Brokers want to seem like they are on your side and so far some of the submissions ( i haven't read them all ) have brokers willing to drop their leverage down to 30:1 because they know by dropping the leverage down it will start margin calling out their clients at a much faster rate, causing more blown up accounts / abandoned accounts with residual margin called funds, but they also know that if they make trading environments too hard less people will trade or even worse move their funds elsewhere offshore to unregulated brokers that offer higher leverage.
Right now it's all just a proposal, but as governments expand and continue to gain more control over it's citizens, it's just a matter of time till it's law, it's up to you to be vocal about it, let your broker know that if they drop their leverage, you're out, force them to fight for you.
If you have any more information related to this, or have anything to add, post below. I'm not an expert at this technical law talk, i know that i do well with 500:1 leverage and turn profits with it, it would be harder for me to do on a lower leverage, this is the reason for my post.
All related documents HERE
CP-322 ( Consultation paper 322 ) & Submissions from brokers and others.
https://asic.gov.au/regulatory-resources/find-a-document/consultation-papers/cp-322-product-intervention-otc-binary-options-and-cfds/
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Immediate Aftermath : The more data we collect and analyze, the clearer the picture becomes.

This is the updated first part of the list that has recorded the notable events as the world deals with the COVID-19 pandemic. [2nd Part] ― The LINKS to events and sources are placed throughout the timeline.
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The More Data We Collect and Analyze, the Clearer the Picture Becomes.
Someone threw a stone in a pond a long way away. And we're only just feeling the ripples. — Fukuhara from Giri/Haji, Netflix series
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On Jan 30, Italian PM announced that Italy had blocked all flights to and from China. While Italy has banned people from air-travelling to China, however according to IATA data, there's no measurement implemented for air-travellers from China into Italy till the Mar 07. Especially for Chinese people who have EU passports.
On Jan 31, the US announced the category-I travel restrictions, barring all foreigners who have been in China for the past 14 days, with measures including the refusal of visas and mandatory quarantine.
• "Because the US focused on China and didn't expect the infected people's entry from Europe and the Middle East, the Maginot Line was breached from behind. And so little of credible data at the beginning made the US government to miscalculate its strategic response to the virus." — Dr. Zhang Lun, currently a visiting scholar at Harvard (economics & sociology), during the interview with ICPC on Mar 29.
Also on Jan 31, the WHO changed its tune and declared the coronavirus outbreak a Global Public Health Emergency of international concern (PHEIC).
Decisions on a PHEIC always involve politics .... West African countries discouraged a declaration in 2014 after they were hit by the largest Ebola virus outbreak on record, mainly because of concern about the economic impact.
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On Feb 02, regarding the US category-I travel restrictions, Kamala Harris, the former Democratic presidential candidate, declared on Twitter:
Since 2017, Trump’s travel bans have never been rooted in national security—they’re about discriminating against people of color. They are, without a doubt, rooted in anti-immigrant, white supremacist ideologies. This travel ban is no different.
On Feb 03, criticizing Trump for his travel restrictions continues. Chinese foreign ministry spokeswoman Hua Chunying (华春莹), a Peking University professors James Liang (梁建章), New York Times, the Nation, OBSERVER, the Boston Globe, Yahoo, and Daily Kos were saying,
it's a "panicky" decision and "racist" or it's "cruel and callous," he's stoking fear for political gains, and the president is "inappropriately overreacting." And professors Liang even said the US ban "will hurt goodwill and cooperation [with China] in the future." [1] [2] [3] [4] [5] [6] [7] [8] [9]
Also on Feb 03, Mr. Tedros of the WHO said there's no need for travel ban measure that "unnecessarily interfere with international travel and trade" trying to halt the spread of the virus.
China's delegate took the floor ... and denounced measures by "some countries" that have denied entry to people holding passports issued in Hubei province - at the centre of the outbreak - and to deny visas and cancel flights.
Also on Feb 03, China is expected to gradually implement a larger stimulus packages (in total) than a USD $572 billion from 2008. — We'd never find out but my guess is that the fund will probably go to Shanghai clique.
On Feb 04, The FDA has given emergency authorization to a new test kit by the CDC that promises to help public health labs meet a potential surge in cases.
The speed ... pushing through a new diagnostic test shows just how seriously they’re taking the potentially pandemic threat of 2019-nCoV. It’s also a sign that the world is starting to learn how to deal with an onslaught of new pathogens.
Also on Feb 04, the Wuhan Institute of Virology and China's Academy of Military Medical Sciences (AMMS, Chief Chen Wei belongs to) have jointly applied to patent the use of Remdesivir. Scientists from both institutes said in a paper published in Nature’s Cell Research that they found both Remdesivir and Chloroquine to be an effective way to inhibit the coronavirus.
On Feb 06, Jamestown Foundation, a Washington-based research & analysis unit, noted that with State Council of PRC praising his performance of containing the pandemic situation, the council expanded Li Keqiang's political control over Politburo Standing Committee of CCP. (Li Keqiang = Communist Youth League = Shanghai clique)
Also, on Feb 06, as the US evacuation planes leave China, the wave of the US evacuees have arrived who are met by the CDC personnel at the quarantine sites for screening, and those who were suspected of infection will be placed under quarantine for 14 days.
Also, on Feb 06, a CDC-developed lab test kit to detect the new coronavirus began shipping to qualified US laboratories and international ones. — However, on Feb 12, the CDC said some of the testing kits have flaws and do not work properly. The CDC finally ended up shipping the working test kits for mass testings on Feb 27. This was three weeks later than originally planned.
On Feb 07, China National Petroleum has recently declared Force Majeure on gas imports. They are trying to create a breathing room for their foreign exchange reserves shortage. China's foreign exchange reserves fell to mere USD $3.1 trillion in Oct. 2019.
On the same day, Bloomberg reported that PetroChina has directed employees in 20 countries to buy N95 face masks and send them home in China. The goal is to get 2 million masks shipped back. You can also find YouTube videos that show Overseas Chinese are scouring the masks at the Home Depot to ship them to China (the video in Korean). Also Chris Smith is pissed.
On Feb 09, Trump renews his national emergency on its southern border, and Elizabeth Goitein from the Brennan Center for Justice, published an opinion article on New York Times titled "Trump Has Abused This Power. And He Will Again if He’s Not Stopped."
On Feb 10, Dr. Tedros said that an advance three-person team of the WHO arrived in Beijing for a joint mission to discuss with Chinese officials the agenda and questions. Then, the joint mission of about 10 international experts will soon follow, he said. — Those WHO experts ended up visiting Chinese epicentre for the first time on Feb 24.
On Feb 12, the US targets Russian oil company for helping Venezuela skirt sanctions. The US admin seemingly tried to secure leverage against Russia after noticing something suspicious was up.
On the same day, Trump told Reuters "I hope this outbreak or this event (for the US) may be over in something like April." — Dr. Zhong Nanshan (钟南山), China's top tier SARS-hero doctor, also said "the peak of the virus (for China) should come in mid to late February, followed by a plateau or decrease," adding that his forecast was based on on mathematical modelling and data from recent events and government action.
On Feb 13, Tom Frieden who is a former US CDC chief and currently the head of public health nonprofit Resolve to Save Lives, said:
As countries are trying to develop their own control strategies, they are looking for evidence of whether the situation in China is getting worse or better. [But] We still don't have very basic information. [since the WHO just entered China] We hope that information will be coming out.
On the same day, the CDC reports that the 15th case in the US was confirmed. The patient was a part of group who were under a federal quarantine order at the JBSA-Lackland base because of a recent trip to Hubei Province, China.
By Feb 13, China hasn't accepted the US CDC's offer to send top experts, and they haven't released the "disaggregated" data (specific figures broken out from the overall numbers) even though repeatedly been asked.
On Feb 14, CCP's United Front posted an article on its official website, saying (Eng. text by Google Translation):
Fast! There is no time difference to raise urgently needed materials! Some Overseas Chinese have used their professions in the field of medicine in order to purchase relevant materials Hubei province in short of supply (to send them to China). .... Some Overseas Chinese took advantage of the connection resources, opened green transportation channels through our embassies and consulates abroad, and their related enterprises, and quickly sent large quantities of medical supplies (to China), making this love relay link and cooperation seamless.
On Feb 18, Reuters reports that 3M is on the list of firms eligible for China loans to ease coronavirus crisis.
There is no indication from the list that loans offered will necessarily be sought, or that such firms are in any financial need. The Bank of Shanghai told Reuters it will lend 5.5 billion yuan ($786 million) to 57 firms on its list.
On Feb 21, Xi Jinping writes a thank-you letter to Bill Gates for his foundation’s support to China regarding COVID-19 outbreak.
On Feb 24, China was rumoured on Twitter to delay the phase one trade deal implementation indefinitely which includes the increase of China's purchasing American products & services by at least $200 billion over the next two years.
Also on Feb 24, S&P 500 Index started to drop. Opened with 3225.9 and closed 3128.2. By the Mar 23, it dropped to 2208.9.
Also on Feb 24, China's National Health Commission says the WHO experts have visited Wuhan city for the first time, the locked-down central Chinese city at the epicentre, inspecting two hospitals and a makeshift one at a sports centre.
On Feb 26, IF the picture that has been circulated on Twitter were real, then chief Chen Wei and her team have developed the first batch of COVID-19 vaccine within time frame of a month.
On the same day, the CDC's latest figures displays 59 people in the US who have tested positive for COVID-19.
Also on Feb 26, the Washington Post published an article that says:
.... the WHO said it has repeatedly asked Chinese officials for "disaggregated" data — meaning specific figures broken out from the overall numbers — that could shed light on hospital transmission and help assess the level of risk front-line workers face. "We received disaggregated information at intervals, though not details about health care workers," said Tarik Jasarevic of the WHO. — The comment, in an email on Feb 22 to the Post, was one of the first instances that the WHO had directly addressed shortcomings in China's reporting or handling of the coronavirus crisis.
On Feb 27, after missteps, the CDC says its test kit is ready and the US started to expand testing.
On Feb 28, China transferred more than 80,000 Uighurs to factories used by global brands such as Apple, Nike, & Volkswagen & among others.
Also on Feb 28, the WHO published the official report of the WHO-China joint mission on coronavirus disease 2019. (PDF)
On Feb 29, quoting Caixin media's investigation published on the same day, Lianhe Zaobao, the largest Singapore-based Chinese-language newspaper, published an article reporting the following:
Dr. Li Wenliang said in the interview with Caixin media; [in Dec 2019] another doctor (later turned out to be Dr. Ai Fen) examined and tried to treat a patient who exhibited SARS-like symptoms which akin to influenza resistant to conventional treatment methods. And "the family members who took care of her (the patient) that night also had a fever, and her other daughter also had a fever. This is obviously from person to person" Dr. Li said in the interview."
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On Mar 01, China's State Council super tighten up their already draconian internet law.
On the same day, Princelings published an propaganda called "A Battle Against Epidemic: China Combating COVID-19 in 2020" which compiles numerous state media accounts on the heroic leadership of Xi Jinping, the vital role of the Communist Party, and the superiority of the Chinese system in fighting the virus.
Starting on Mar 03, the US Fed has taken two significant measures to provide monetary stimulus. It's going to be no use as if a group of people with serious means are manipulating the markets to make sure MM will have liquidity concerns when they need it most.
On Mar 04, Xinhua News, China's official state-run press agency posted an article "Be bold: the world should thank China" which states that
If China retaliates against the US at this time, it will also announce strategic control over medical products, and ban exports of said products to the US. ... If China declares today that its drugs are for domestic use only, the US will fall into the hell of new coronavirus epidemic.
On Mar 05, Shanghai Index has recovered the coronavirus loss almost completely.
On Mar 07, Saudi's Ahmed bin Abdulaziz and Muhammad bin Nayef were arrested on the claims of plotting to overthrow King Salman. — Ahmed bin Abdulaziz is known to have very tight investment-interest relationship with Bill Gates, Bill Browder, Blackstone, & BlackRock: One common factor that connects these people is China.
On Mar 08, the Russia–Saudi oil price war has begun. The ostensible reason was simple: China, the biggest importer of oil from Saudi and Russia, was turning back tankers while claiming that the outbreak forced its economy to a standstill.
On Mar 10, the Washington Post published the article saying that the trade group for manufacturers of personal protective equipment urged in 2009 "immediate action" to restock the national stockpile including N95 masks, but it hasn't been replenished since.
On Mar 11, the gentleman at the WHO declares the coronavirus outbreak a "Global Pandemic." He called on governments to change the course of the outbreak by taking "urgent and aggressive action." This was a full twelve days after the organization published the official report regarding the situation in China.
On Mar 13, the US admin declared a National Emergency and announced the plan to release $50 billion in federal resources amid COVID-19.
Also on Mar 13, China's Ministry of Commerce states that China is now the best region for global investment hedging.
On Mar 15, Business Insider reports that Trump tried to poach German scientists working on a coronavirus vaccine and offered cash so it would be exclusive to the US. The problem is the official CureVac (the German company) twitter account, on Mar 16, 2020, tweeted the following:
To make it clear again on coronavirus: CureVac has not received from the US government or related entities an offer before, during and since the Task Force meeting in the White House on March 2. CureVac rejects all allegations from press.
On Mar 16, the fan club of European globalists has published a piece titled, "China and Coronavirus: From Home-Made Disaster to Global Mega-Opportunity." The piece says:
The Chinese method is the only method that has proved successful [in fighting the virus], is a message spread online in China by influencers, including many essentially promoting propaganda. ... it is certainly a message that seems to be resonating with opinion leaders around the world.
On the same day, unlike China that had one epicentre, Wuhan city, the US now overtakes China with most cases reporting multiple epicentres simultaneously.
Also on Mar 16, the US stocks ended sharply lower with the Dow posting its worst point drop in history. But some showed a faint hint of uncertain hope.
On Mar 17, according to an article on Chinese version of Quora, Zhihu, chief Chen Wei and her team with CanSino Biologics officially initiated a Phase-1 clinical trial for COVID-19 vaccine at the Wuhan lab, Hubei China, which Bloomberg News confirmed. — Click HERE, then set its time period as 1 year, and see when the graph has started to move up.
Also on Mar 17, China's state media, China Global TV Network (CGTN), has produced YouTube videos for Middle Eastern audiences to spread the opinion that the US has engineered COVID-19 events.
Also on Mar 17, Al Jazeera reported that the US President has been criticized for repeatedly referring to the coronavirus as the "Chinese Virus" as critics saying Trump is "fueling bigotry."
• China's Xinhua News tweeted "Racism is not the right tool to cover your own incompetence."
• Tucker Carlson asked: "Why would America's media take China's side amid coronavirus pandemic?"
• Also, Mr. Bill Gates: "We should not call this the Chinese virus."
On Mar 19, for the first time, China reports zero local infections.
Also on Mar 19, Al Jazeera published an analysis report, titled "Coronavirus erodes Trump's re-election prospects."
On Mar 22, Bloomberg reports that China's mobile carriers lost 21 million users during this pandemic event. It's said to be the first net decline since starting to report monthly data in 2000.
On Mar 26, EURACTV reports that China cashes in off coronavirus, selling Spain $466 million in supplies. However, Spain returns 9,000 "quick result" test kits to China, because they were deemed substandard. — Especially the sensibility of the test was around 30 percent, when it should be higher than 80 percent.
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On Apr 03, Germany and other governments are bolstering corporate defenses to address worries that coronavirus-weakened companies could be easy prey for bargain hunting by China's state owned businesses.
On Apr 05, New York Times says "Trump Again Promotes Use of Unproven Anti-Malaria Drug (hydroxychloroquine)."
On Apr 06, a Democratic State Rep. Karen Whitsett from Detroit credits hydroxychloroquine and President Trump for "saving her in her battle with the coronavirus."
On Apr 07, the US CDC removed the following part from its website.
Although optimal dosing and duration of hydroxychloroquine for treatment of COVID-19 are unknown, some U.S. clinicians have reported anecdotally different hydroxychloroquine dosing such as: 400mg BID on day one, then daily for 5 days; 400 mg BID on day one, then 200mg BID for 4 days; 600 mg BID on day one, then 400mg daily on days 2-5.
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☞ If there were ever a time for people not to be partisan and tribal, the time has come: We need to be ever vigilant and attentive to all kinds of disinformation & misinformation to see it better as well as to be sharp in our lives. — We really do need to come together.
☞ At first, I was going to draw up a conspiracy theory-oriented list focused on Team-Z, especially Mr. Gates. However, although it's nothing new tbh, recently many chats and discussions seem overflowing with disinformation & misinformation which is, in my opinion, particularly painful at a time like this. Hence, this post became a vanilla list that's just recorded the notable events. — We all are subject to misinformation, miscalculation, and misjudgment. But the clearer the picture becomes the better we can identify Funkspiel.
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Immediate Aftermath pt.2.a
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Feasible Timeline of the Operation
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☞ Go Back to the Short Story.
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submitted by vanillabluesea to conspiracy [link] [comments]

[educational] Technical analysis, patterns, and charts analysis for the day trader

[educational] Technical analysis, patterns, and charts analysis for the day trader
Chart patterns form a key part of day trading. Candlestick and other charts produce frequent signals that cut through price action “noise”.
The best patterns will be those that can form the backbone of a profitable day trading strategy, whether trading stocks, cryptocurrency of forex pairs.
Every day you have to choose between hundreds of trading opportunities. This is a result of a wide range of factors influencing the market. Day trading patterns enable you to decipher the multitude of options and motivations – from hope of gain and fear of loss, to short-covering, stop-loss triggers, hedging, tax consequences and plenty more.
Candlestick patterns help by painting a clear picture, and flagging up trading signals and signs of future price movements. Whilst it’s said you’ll need to use technical analysis to succeed day trading with candlestick and other patterns, it’s important to note utilizing them to your advantage is more of an art form than a rigid science.
You have to learn the power of chart patterns and the theory that governs them in order to identify the best patterns to supplement your trading style and strategies.

Use In Day Trading

Used correctly trading patterns can add a powerful tool to your arsenal. This is because history has a habit of repeating itself and the financial markets are no exception. This repetition can help you identify opportunities and anticipate potential pitfalls.
RSI, volume, plus support and resistance levels all aide your technical analysis when you’re trading. But crypto chart patterns play a crucial role in identifying breakouts and trend reversals. Mastering the art of reading these patterns will help you make smarter trades and bolster your profits, as highlighted in the highly regarded, ‘stock patterns for day trading’, by Barry Rudd.

Breakouts & Reversals

In the patterns and charts below you’ll see two recurring themes, breakouts and reversals.
  • Breakout – A breakout is simply when the price clears a specified critical level on your chart. This level could by any number of things, from a Fibonacci level, to support, resistance or trend lines.
  • Reversal – A reversal is simply a change in direction of a price trend. That change could be either positive or negative against the prevailing trend. You may also hear it called a ‘rally’, ‘correction’, or ‘trend reversal’.

Candlestick Charts

Candlestick charts are a technical tool at your disposal. They consolidate data within given time frames into single bars. Not only are the patterns relatively straightforward to interpret, but trading with candle patterns can help you attain that competitive edge over the rest of the market.
They first originated in the 18th century where they were used by Japanese rice traders. Since Steve Nison introduced them to the West with his 1991 book ‘Japanese Candlestick Charting Techniques’, their popularity has surged.
Below is a break down of three of the most popular candlestick patterns used for day trading.

Shooting Star Candlestick

This is often one of the first you see when you open a chart with candlestick patterns. This bearish reversal candlestick suggests a peak. It is precisely the opposite of a hammer candle. It won’t form until at least three subsequent green candles have materialized. This will indicate an increase in price and demand. Usually, buyers lose their cool and clamber for the price to increasing highs before they realize they’ve overpaid.
The upper shadow is usually twice the size of the body. This tells you the last frantic buyers have entered trading just as those that have turned a profit have off-loaded their positions. Short-sellers then usually force the price down to the close of the candle either near or below the open. This traps the late arrivals who pushed the price high. Panic often kicks in at this point as those late arrivals swiftly exit their positions.

https://preview.redd.it/gf5dwjhbrdh31.png?width=300&format=png&auto=webp&s=437ff856bfd6ebc95da34528462ba224d964f01f

Doji Candlestick

One of the most popular candlestick patterns for trading forex is the doji candlestick (doji signifies indecision). This reversal pattern is either bearish or bullish depending on the previous candles. It will have nearly, or the same open and closing price with long shadows. It may look like a cross, but it can have an extremely small body. You will often get an indicator as to which way the reversal will head from the previous candles.
If you see previous candles are bullish, you can anticipate the next one near the underneath of the body low will trigger a short/sell signal when the doji lows break. You’ll then see trail stops above the doji highs.
Alternatively, if the previous candles are bearish then the doji will probably form a bullish reversal. Above the candlestick high, long triggers usually form with a trail stop directly under the doji low.
These candlestick patterns could be used for intraday trading with forex, stocks, cryptocurrencies and any number of other assets. But using candlestick patterns for trading interpretations requires experience, so practice on a demo account before you put real money on the line.

https://preview.redd.it/4yo650lcrdh31.png?width=300&format=png&auto=webp&s=b2aa3cdeef23e44e1e3e3047bbe2604fce0a4768

Hammer Candlestick

This is a bullish reversal candlestick. You can use this candlestick to establish capitulation bottoms. These are then normally followed by a price bump, allowing you to enter a long position.
The hammer candlestick forms at the end of a downtrend and suggests a near-term price bottom. The lower shadow is made by a new low in the downtrend pattern that then closes back near the open. The tail (lower shadow), must be a minimum of twice the size of the actual body.
The tails are those that stopped out as shorts started to cover their positions and those looking for a bargain decided to feast. Volume can also help hammer home the candle. To be certain it is a hammer candle, check where the next candle closes. It must close above the hammer candle low.
Trading with Japanese candlestick patterns has become increasingly popular in recent decades, as a result of the easy to glean and detailed information they provide. This makes them ideal for charts for beginners to get familiar with.

https://preview.redd.it/7snzz8qdrdh31.png?width=300&format=png&auto=webp&s=f83ff82f0980dd30c33bc6886ae7e7ed3a98b72f

More Popular Day Trading Patterns

Using Price Action

Many strategies using simple price action patterns are mistakenly thought to be too basic to yield significant profits. Yet price action strategies are often straightforward to employ and effective, making them ideal for both beginners and experienced traders.
Put simply, price action is how the price is likely to respond at certain levels of resistance or support. Using price action patterns from pdfs and charts will help you identify both swings and trendlines.
Whether you’re day trading stocks or forex or crypto with price patterns, these easy to follow strategies can be applied across the board.

Zone Strategy

So, how do you start day trading with short-term price patterns? you will likely employ a ‘zone strategy’. One obvious bonus to this system is it creates straightforward charts, free from complex indicators and distractions.

https://preview.redd.it/7e5x37zerdh31.png?width=300&format=png&auto=webp&s=2098a4c9df4a4556c3024cec1c176ce50c9806c0

Dead Zone

This empty zone tells you that the price action isn’t headed anywhere. There is no clear up or down trend, the market is at a standoff. If you want big profits, avoid the dead zone completely. No indicator will help you makes thousands of pips here.

The Red Zone

This is where things start to get a little interesting. Once you’re in the red zone the end goal is in sight, and that one hundred pip winner within reach. For example, if the price hits the red zone and continues to the upside, you might want to make a buy trade. It could be giving you higher highs and an indication that it will become an uptrend.
This will be likely when the sellers take hold. If the price hits the red zone and continues to the downside, a sell trade may be on the cards. You’d have new lower lows and a suggestion that it will become a downtrend.

The End Zone

This is where the magic happens. With this strategy, you want to consistently get from the red zone to the end zone. Draw rectangles on your charts like the ones found in the example. Then only trade the zones. If you draw the red zones anywhere from 10-20 pips wide, you’ll have room for the price action to do its usual retracement before heading to the downside or upside.

Outside Bar At Resistance Or Support

You’ll see a bullish outside bar if today’s low exceeded yesterdays, but the stock still rallies and closes above yesterday’s high. If the complete opposite price action took place, you’d have yourself the perfect bearish example.
Unfortunately, it isn’t as straightforward as identifying an outside candlestick and then just placing a trade. It’s prudent to find an outside day after a major break of a trend.

https://preview.redd.it/egb0lp6grdh31.png?width=300&format=png&auto=webp&s=b0170eceea5006464e5832bc3a9083c72ee677ad

Spring At Support

The spring is when the stock tests the low of a range, but then swiftly comes back into trading zone and sets off a new trend. One common mistake traders make is waiting for the last swing low to be reached. However, as you’ve probably realized already, trading setups don’t usually meet your precise requirements so don’t stress about a few pennies.

https://preview.redd.it/q82lap2hrdh31.png?width=300&format=png&auto=webp&s=9e40f0bc25c2df06a1d93edb68b293c858a32592

Little To No Price Retracement

Put simply, less retracement is proof the primary trend is robust and probably going to continue. Forget about coughing up on the numerous Fibonacci retracement levels. The main thing to remember is that you want the retracement to be less than 38.2%. This means even when today’s asset tests the previous swing, you’ll have a greater chance that the breakout will either hold or continue towards the direction of the primary trend.

https://preview.redd.it/ey997b2irdh31.png?width=300&format=png&auto=webp&s=c938aac51e3b3bbf1f45a11c46f4ae3dfd1b6dd4
Trading with price patterns to hand enables you to try any of these strategies. Find the one that fits in with your individual trading style. Remember, you’ll often find the best trading chart patterns aren’t overly complex, instead they paint a clear picture using minimal indicators, reducing the likelihood of mistakes and distraction.

Consider Time Frames

When you start trading with your short term price patterns pdf to hand, it’s essential you also consider time frames in your calculations. In your market, you’ll find a number of time frames simultaneously co-existing. This means you can find conflicting trends within the particular asset your trading. Your stock could be in a primary downtrend whilst also being in an intermediate short-term uptrend.
Many traders make the mistake of focusing on a specific time frame and ignoring the underlying influential primary trend. Usually, the longer the time frame the more reliable the signals. When you reduce your time frames you’ll be distracted by false moves and noise.
Many traders download examples of short-term price patterns but overlook the underlying primary trend, do not make this mistake. You should trade-off 15-minute charts, but utilize 60-minute charts to define the primary trend and 5-minute charts to establish the short-term trend.

Wrapping Up

Our understanding of chart patterns has come along way since the initial 1932 work of Richard Schabacker in ‘Technical Analysis and Stock Market Profits’. Schabacker asserted then, ‘any general stock chart is a combination of countless different patterns and its accurate analysis depends upon constant study, long experience and knowledge of all the fine points, both technical and fundamental…’ So whilst there is an abundance of patterns out there, remember accurate analysis and sustained practice is required to fully reap their benefits.

The source : https://www.daytrading.com/patterns
submitted by JalelTounsi to ethfinance [link] [comments]

Mainfinex: The Panacea to the Future

Mainfinex: The Panacea to the Future

Mainfinex

MAINFINEX offers a trusted exchange that crypto traders can use to make informed trades and participate in the cryptocurrency market. At the time of launch, MAINFINEX offers 15 different cryptocurrency pairs, all of which include USDT. The MAINFINEX cryptocurrency exchange offers something for every type of trader, regardless of experience level. Beginners will appreciate the intuitive interface and the fact that MAINFINEX uses Tradingview charts, which have numerous online tutorials for guidance. Advanced traders will appreciate the hundreds of drawing tools, the vast quantity of indicators, and high level of customization for charts.
Challenges faced by cryptocurrency exchanges today:
● Failure to apply global financial practices, and poor interface
● Large number of exchanges with little differentiation which complicates the choice of platform for operations
● Large number of unsuccessful traders losing money
● Pain points that are still there.

Exchange
Our understanding of the needs of the key trading parties in digital exchanges comes down to the concept “Traders seek liquidity and investors need profitability.”
  1. Liquidity and profitability
A mechanism we could build in to solve the problems of traders and long-term investors based on the exchange policy related to
trading fees:
  • Flexible interest rate depending on the volume, thus reducing the trading fee. The more activity in a trading section, the cheaper it is for that section
  • Fees reduced in case of severe price deviation. To reduce volatility and slippage and thus increase liquidity, market-making traders creating liquidity will be charged at a lower rate. The increase in volumes triggered by the reduced fee in case of price deviation will help smoothen out volatility.
  1. Reliability
Traders bearing losses have a regressive fee scale depending on the volume of the loss. This mechanism serves to mitigate the consequences of unfavorable deals for a trader.
  1. Sustainability “Back to the battle” Traders who have lost money but made it to the daily TOP 100 based on the volume will receive tokens compensating all the fees they paid or part of the losses. This will help stimulate liquidity in the exchange and create best cryptocurrency market conditions for arbitrage funds. Such funds account for up 80% of transaction in fiat exchanges.
  2. Concept: gaming elements of the exchange, buttons, etc. “Titles and statuses” With the emergence of cryptocurrencies, the world of finance has been transformed. It has to be clear and relevant for our users since the key audience of the exchange is 25-38 years old. Which means they played DOOM 2 when they were school students (in 1994). Why can’t we give simple names to complex financial instruments? It was the stunts and dirty tricks that guys in suits from investment banks played that eventually caused the mortgage crisis. We have selected the most popular financial instruments that we can provide. They can be understood and activated in one click. We have chosen simple names for them:
● "Forecast”
This button activates an analytical indicator used by most profitable traders
● "Call for help”
Activates a trading robot that will close transactions for you based on algorithms. Trading robots will be provided by successful third party funds
● "Stop me”
Block trading activity for two days. This is a mechanism that successful traders recommend to newbies. Breaks in trading activity help increase the accuracy of decisions and overall profitability
● "Join the group”
This function lets the user transfer money to a pool of professional traders. Similar to PAMM accounts in forex companies
● “Saving up for retirement”
10% from each profitable transaction will be automatically transferred to the annual/call deposit. Many experienced traders who work for themselves do not care about savings because trading is a constant source of big income. Having such a long-term deposit is one of the key ways to ensure security and can even save a family in the bad times
● “Work for us”
Traders without substantial deposits but with free working hours can make money by performing important tasks for the exchange, like in Amazon Mechanical Turk
● “Vanity fair”
Most successful traders may share their divine trading strategies in a master class for traders, with payment in our tokens.
  1. To benefit from certain options like the trading robot or funds management, users will be required to perform specific actions, e.g.: Purchasing exchange tokens. Equivalent free options: e.g., reposting our news daily throughout a month, which will also help expand the user’s subscriber base.
  2. Purchasing liquidity from “mini exchanges”
A partner exchange that will provide liquidity for trading in our exchange or display our depth of market diagram on its website will receive all the relevant fees collected in our tokens. This is how this mechanism works. Mini exchanges have a permanent audience of traders creating liquidity but due to the small volumes, the mutual liquidity among the participants is low and transactions are infrequent. This is a case of “the chicken or the egg” problem. The more users there are, the more frequently the transactions occur between the same users. Accordingly, a mini exchange will be able to increase the volume of fees collected by 3-4 times by using this opportunity.
  1. IEO sale
A shopping cart with all kinds of tokens. Includes both potentially successful and unsuccessful coins that cannot afford to pay the listing fee on their own. We collect the entire pool in a cart and sell it as one portfolio at a greatly reduced price. This gives unsuccessful ICO projects an opportunity to return part of the invested funds. And the users buying such assets at a rate below the cost level have more chances of profiting from price growth. The higher risk of unsuccessful projects in the portfolio compensated by the low price and the potentially high profitability is the key incentive.
  1. Exchange Tutorial
Just like in complex computer games such as urban construction simulators or turn-based strategies, at the first stage the player is taught how to use the game’s functionalities before he starts playing it in the full mode. Finance and cryptocurrencies have never been simple. Every individual financial instrument is based on a complex concept. The simplicity of starting to trade cryptocurrencies and the lack of regulation in the market result in a situation when most traders lose their money and investments. The tutorial works the same simple way, providing prompts on the sequence of the steps in the exchange. We will cooperate with several financial regulators to improve this instrument in order to develop new instruments that will help mitigate the risk of losses for each individual trader. At the end, many of the regulators’ tasks come down to managing the consequences of the great financial gap between trading parties.

Information correct at time of going to type. For updated information, go to Mainfinex Exchange web platform (Mainfinex Exchange website).
Note: In the event of conflict between this information and the information on the Mainfinex Exchange Website, the information on the Mainfinex Exchange Website will prevail.
Here, I present to you Mainfinex- The Future of Cryptocurrency Exchange, Mainfinex!!!
Mainfinex Exchange website
Mainfinex Exchange WhitePaper
ETH Address: 0x49d576e54C78e17E4451E7eF9f1d9C8e55360661
Email Address: [[email protected]](mailto:[email protected])
submitted by Busganda to CryptoCurrency [link] [comments]

CoinCasso Blockchain Academy – the basics of cryptocurrency trading!

CoinCasso Blockchain Academy – the basics of cryptocurrency trading!

Cryptocurrency trading is one of the top 5 ways to make money in the crypto world. In this article, we would like to present some basic definitions related to trading which can introduce you to making money this way, available on CoinCasso Exchange 1.0 (with a very low fee: 0.25%).

What is cryptocurrency trading?

It is simply the exchange of cryptocurrencies. It works similar to Forex trading – you can buy or sell a cryptocurrency for another cryptocurrency or FIAT currency like EUR or USD. On CoinCasso exchange, there are available following trading pairs: BTC / EUR, BCH / BTC, DASH / BTC, ETC / BTC, ETH / BTC, LTC / BTC, BCH / EUR, DASH / EUR, ETC / EUR, ETH / EUR, LTC / EUR. In its most basic form, trading is based on buying for a lower price and selling for a higher price.

What is day trading?

It is a process of buying and selling an asset (for example cryptocurrencies) in a short period of time. You speculate on the value of a cryptocurrency with a hope that its price will increase (after you bought it) or decrease (after you sold it). In simple words – buy low, sell high! The short-term nature of day trading means that it is the opposite of hodling (check out our article Cryptocurrency for Dummies to understand the definition).

What is leverage trading?

A so-called leverage trading (or margin trading) involves borrowing funds and investing more than your actual capital. For example, a 4:1 leverage means that you place trades 4 times bigger than your starting amount of money – the loan is usually taken from a broker (in case of cryptocurrencies, from a cryptocurrency exchange). The higher the leverage, the bigger possible profit, but also the greater chance that you will lose money. For example, you have 1 BTC and a price of BTC at the time you trade is equal to 3000 USD. You predict that the price will go up and you trade with 10:1 leverage. The price indeed goes up to 4000 USD (33% increase), therefore, from the total 10 BTC capital reaches 13,3 BTC. Your profit is calculated as: 13,3 BTC – 9 BTC (the amount borrowed from cryptocurrency exchange), so it is 4,3 BTC minus fees. It sounds so easy, doesn’t it? The thing is that if the price goes down by a certain amount set by cryptocurrency exchange, you lose your entire 1 BTC! This price is called a liquid price. The higher the leverage, the higher the liquid price is.

What is money and risk management?

Money and risk management is the way you manage your investment money. According to the basic strategy of trading, in a single trade, you should never invest more than 5% of your capital. It is better to focus on small, safe profits rather than risky “one-time” scores. One of the strategies in risk and money management is setting stop losses and limit orders (check the definitions below).
Beta0x danilhadiwinata123
submitted by danilhadiwinata to u/danilhadiwinata [link] [comments]

CoinCasso Blockchain Academy

What is cryptocurrency trading?

It is simply the exchange of cryptocurrencies. It works similar to Forex trading – you can buy or sell a cryptocurrency for another cryptocurrency or FIAT currency like EUR or USD. On CoinCasso exchange, there are available following trading pairs: BTC / EUR, BCH / BTC, DASH / BTC, ETC / BTC, ETH / BTC, LTC / BTC, BCH / EUR, DASH / EUR, ETC / EUR, ETH / EUR, LTC / EUR. In its most basic form, trading is based on buying for a lower price and selling for a higher price.

What is day trading?

It is a process of buying and selling an asset (for example cryptocurrencies) in a short period of time. You speculate on the value of a cryptocurrency with a hope that its price will increase (after you bought it) or decrease (after you sold it). In simple words – buy low, sell high! The short-term nature of day trading means that it is the opposite of hodling (check out our article Cryptocurrency for Dummies to understand the definition).

What is leverage trading?

A so-called leverage trading (or margin trading) involves borrowing funds and investing more than your actual capital. For example, a 4:1 leverage means that you place trades 4 times bigger than your starting amount of money – the loan is usually taken from a broker (in case of cryptocurrencies, from a cryptocurrency exchange). The higher the leverage, the bigger possible profit, but also the greater chance that you will lose money. For example, you have 1 BTC and a price of BTC at the time you trade is equal to 3000 USD. You predict that the price will go up and you trade with 10:1 leverage. The price indeed goes up to 4000 USD (33% increase), therefore, from the total 10 BTC capital reaches 13,3 BTC. Your profit is calculated as: 13,3 BTC – 9 BTC (the amount borrowed from cryptocurrency exchange), so it is 4,3 BTC minus fees. It sounds so easy, doesn’t it? The thing is that if the price goes down by a certain amount set by cryptocurrency exchange, you lose your entire 1 BTC! This price is called a liquid price. The higher the leverage, the higher the liquid price is.

What is money and risk management?

Money and risk management is the way you manage your investment money. According to the basic strategy of trading, in a single trade, you should never invest more than 5% of your capital. It is better to focus on small, safe profits rather than risky “one-time” scores. One of the strategies in risk and money management is setting stop losses and limit orders (check the definitions below).
Beta0x danilhadiwinata123
submitted by danilhadiwinata to u/danilhadiwinata [link] [comments]

The XTRD Megathread

What is XTRD?

XTRD is a technology company that are introducing a new infrastructure that would allow banks, hedge funds, and large institutional traders to easily access cryptocurrency markets.
XTRD is launching three separate products in sequential stages to solve the ongoing problems caused by having so many disparate markets. Firstly a unified FIX API followed by XTRD Dark Pools and finally the XTRD Single Point of Access or SPA.
Our goal is to build trading infrastructure in the cyptospace and become one of the first full service shops in the cryptocurrency markets for large traders and funds.

What are the industry issues?

COMPLEX WEB OF EXCHANGES. A combination of differing KYC policies, means of funding, interfaces and APIs results in a fragmented patchwork of liquidity for cryptocurrencies. Trading in an automated fashion with full awareness of best pricing and current liquidity necessitates the opening and use of accounts on multiple exchanges, coding to multiple API’s, following varying funding and withdrawal procedures. Once those hurdles are cleared, market participants must convert fiat currency to BTC or ETH and then forward the ETH on to an exchange that may not accept fiat, necessitating yet another transaction to convert back to fiat. Major concerns for market participants range from unmitigated slippage and counterparty risk to hacking prevention and liquidity.
HIGH FEES. Execution costs are even more of a factor. Typical exchange commissions are in the 0.1% – 0.25% range per transaction (10 to 25 basis points), but the effective fees are much higher when taking into bid and ask spreads maintained by the exchanges. As most exchanges are unregulated, there is generally no central authority or regulator to examine internal exchange orders that separate proprietary activity from customer activity and ensure fair pricing.
THIN LIQUIDITY. A large institutional order, representing a sizable percentage of daily volume can move the market for a product, and related products in an exchange by a factor of 5-10%. That means a single order to buy $1,000,000 worth of bitcoin can cost an extra $50,000-$100,000 per transaction given a lack of liquidity if not managed correctly and executed on only one exchange. By way of comparison, similar trades on FX exchanges barely move markets a fraction of a percent; those price changes cost traders money, and deter investment.

What are the XTRD solutions?

FIX API
An API is an “Application Programming Interface”, a set of rules that computer programs use to communicate. FIX stands for “Financial Information eXchange”, the API standard used by most financial organizations as the intermediary protocol to communicate amongst disparate systems such as market data, execution, trade reporting, and order entry for the past 25 years.XTRD is fixing the problem of having 100 different APIs for 100 exchanges by creating a single FIX based API for market data and execution – the same FIX API that all current financial institutions utilize.XTRD will leverage our data center presences in DC3 Chicago and NY4 New Jersey to host FIX trading clients and reduce their trading latencies to single milliseconds, a time acceleration of 100x when it comes to execution vs internet. More infrastructure and private worldwide internet lines will be added in 2018 and beyond to enable secure, low latency execution for all XTRD clients, FIX and PRO.
XTRD PRO
XTRD PRO is a professional trading platform that will fix the basic problems with trading across crypto exchanges – the need to open multiple web pages, having to click around multiple windows, only being able to use basic order types, and not seeing all your positions, trades, and market data in one place.XTRD PRO will be standalone, downloadable, robust end-to-end encrypted software that will consolidate all market data from exchanges visually into one order book, provide a consolidated position and order view across all your exchange accounts, and enable client side orders not available on exchanges – keyboard macro shortcuts, VWAP/TWAP, shaving the bid and offer, hit through 1% of the inside, reserve orders that bid 100 but show 1, SMART order routing to best exchange and intelligent order splicing across exchanges based on execution costs net of fees, OCO and OTO, many others.
XTRD SPA
XTRD SPA is the solution to bridge cross-exchange liquidity issues. XTRD is creating Joint Venture partnerships with trusted cryptocurrency exchanges to provide clients on those exchanges execution across other exchanges where they do not have accounts by leveraging XTRD’s liquidity pools.An order placed by a client at CEX.IO, XTRD’s first JV partner, can be executed by XTRD at a different exchange where there may be a better price or higher liquidity for a digital asset. Subsequently, XTRD will deliver the position to CEX.IO and then CEX.IO will deliver the execution to the client, with XTRD acting as just another market participant at the CEX.IO exchange.XTRD does not take custody of funds, we are a technology partner with exchanges. All local exchange rules, procedures, and AML/KYC policies apply.
XTRD DARK
Institutions and large market participants who have large orders of 100 BTC or more generally must execute across multiple markets, increasing their counterparty risk, paying enormous commissions and spreads, and generally having to deal with the vagaries of the crypto space. Alternatives are OTC brokers that charge multiple percents or private peer-to-peer swaps which are difficult to effectuate unless one is deeply in the space.XTRD is launching XTRD DARK – a dark liquidity pool to trade crypto vs fiat that matches buyers and sellers of large orders, discreetly and anonymously, at a much lower cost. Liquidity is not displayed so large orders do not move thin markets as they would publicly. The liquidity will come from direct XTRD DARK participants as well as aggregation of retail order flow into block orders, XTRD’s own liquidity pools, connections with decentralized exchanges to effectuate liquidity swaps, and OTC broker order flow.XTRD is partnering with a fiat banking providebroker dealer to onboard all XTRD DARK participants for the fiat currency custody side with full KYC/AML procedures.

XTRD Tokenomics

Who is XTRD intended for?

XTRD is mainly aimed at major institutions, hedge funds, algorithmic traders who are currently unable to enter the crypto markets.
These firms include companies such as Divisa Capital run by XTRD Advisor Mushegh Tovmasyan.

XTRD Weekly Updates

Upcoming Events

AMA's

Further AMA's will be coming soon!

XTRD In The Media

Resources

More information will be added to this thread as the project develops.
We are currently looking for key community members to assist in building out this thread.
If you are interested please email [[email protected]](mailto:[email protected])
submitted by tylerbro77 to XtradeIO [link] [comments]

How I use Volatility to my advantage (UK US open, late US etc)

[Only applies to M30 and lower]
What is volatility?
Volatility is the degree of variation in price of a given asset on a defined timeframe. When price moves quickly, market volatility increases. When price consolidates, market volatility decreases (simple definition). It is like the speedometer in our cars.
I usually add an Average True Range (ATR) on my charts to gauge approximately market volatility or market nervousness. However, it is not necessary, when you look at a chart you are able to tell if price is spiking, trending or consolidating.
Volatility is part of any strategy. It gives an expectancy toward future price action. In general, when market volatility is low, we expect significant support and resistance levels to hold price in a range. And when market volatility is high, we expect price to break these levels.
Volatility patterns
Fortunately, in the Forex market, daily volatility is predictable. We tend to see volatility peaks around major markets openings, which are the New York Stock Exchange (NYSE), the London Stock Exchange (LSE) and the Japanese Exchange. At the late hours of these markets, volatility tends to decrease.
These fundamental patterns are the most exploitable patterns in the Forex market. Yes, at least more exploitable than deceitful technical signals you are looking for. And they happen almost every day. However, there are exceptions. For example, we do not expect volatility peak to happen when countries of these big markets are on bank holiday.
EURUSD hourly volatility
The chart above shows the 4-weeks hourly volatility for the EUUSD pair. It is the average in pip of the difference between the highest and the lowest price of each hour of the day, over four weeks. Each bar represents the average in hourly range over four weeks.
There are two major peaks corresponding to the LSE and the NYSE openings.
Since the EUUSD is the most traded pair, we consider its volatility as "market volatility". In fact, the hourly volatility chart of the other pairs gives approximately the same pattern.
USDCAD hourly volatility
These charts were taken in May 2016. Take a look at Mataf.net’s volatility tool and type four (for four weeks) in the entry box. You will see approximately this same pattern in hourly volatility, with the two major peaks (UK and US opens) and decreasing volatility starting from the mid-US session. (Currently the pattern is disturbed by the brexit monster volatility, it will become clear again within few weeks)
We also have decreased volatility during the Asian session when there is no major news release coming from the Reserve Bank of Australia (RBA) or the Bank Of Japan (BOJ).
Asian sessions
These charts tell us market volatility is predictable. This leads us to define two principles:
First Principle: Around major markets openings (active time), market volatility tends to surge. We expect to see range breakouts, spikes or rallies. It is the best time to trade breakouts i.e., buying new highs and selling new lows.
Second Principle: During the late hours of major markets sessions and when major markets are closed (quiet time), market volatility tends to decrease considerably. We expect to see trading range or congestion in price action. It is the best time to range-trade i.e., buying the lows and selling the highs.
principles
Any trading strategy or system has to adapt to these variations in volatility to perform over time. If you are struggling with a particular strategy, maybe you are ignoring these changes in volatility.
How volatility patterns can help in improving your trading?
One cannot apply a strategy any time and expect to be profitable. When we simulate an automated and intraday trading system over three months without time filtering, we will notice the system is only profitable at certain hours of the day. This simply reflects intraday volatility variations.
You have to determine if your trading strategy is a trend following method or a range trading one.
If your strategy is a trend following approach, you will want to only trade around major markets openings to maximize profits. Otherwise, you will tend to give back profits as price slows down in the mid-session and market volatility decrease.
If your strategy is a range trading or reversal approach, you will want to only trade during quiet market time and avoid trading around market openings or around news releases.
Less trades maximize profits. Most of my trading sessions last less than one hour.
I made a portable document of this.
submitted by alm_hd to Forex [link] [comments]

Bitcoin 1.0 vs 2.0 – or – A Comparison of Legacy Exchanges & Veritaseum's UltraCoin

Veritaseum is looking for liquidity providers to assist in kickstarting the world's first global P2P exchange. If you have a healthy stash of BTC, please contact us to discuss.
I was looking at the offerings of a large US bitcoin exchange just now, after hearing that Coinbase had the highest volume of any US-based broker just weeks after opening an exchange (we’ll discuss that at a different time, since Coinbase is waiving fees meaning those users are hot money, but likely are part of the largest installed bitcoin user base in the world and growing rapidly). What I found was illuminating, at least for me since I don’t follow the offerings of BTC brokers and exchanges that closely. I noticed several of the industry (BTC exchange) leaders offer leverage, plain vanilla swaps and TRS (total return swaps - basically fixed/variable rates in major fiat denominations for cryptocurrency (BTC. LTC, DRK) exposure). I said to myself, “Wow, that’s pretty advanced.” Then I looked at the fees, and saw the swaps were priced up to and past 15%. Then, upon further research, I realized that these swaps were financing mechanisms for margin lending. The first thing that came to mind was the difference, and limitations that come with the business models of first generation bitcoin companies and second generation Bitcoin companies. Take notice in the difference of the capitalization. Lower case "b" denotes the accounts of value that the mainstream media calls digital currency. Upper case "B" denotes the blockchain-based, protocol driven services and capabilities behind the lower case "b". Generation 1.0 v. generation 2.0!
To put this into perspective, Veritaseum's UltraCoin offers user programmable swaps (ie. you can make your own CDS, TRS or plain vanilla, or even a custom swap) with exposures to not just 3 cryptos and 3 or 4 fiat currencies, but all major and most exotic currency pairs (dozens) as well as over 45,000 tickers covering EVERY major asset class (stocks, bonds, forex & commodities as well as cryptos) from exchanges throughout the world. This is all capable at a sliding scale of 10 to 25 basis points, round trip. That's the equivalent of 5 bp to 12.5 bp per trade. In addition, all of this is done without UltraCoin having any possession of your funds, whatsoever. Veritaseum (the company behind UltraCoin) is a software concern, not a financial entity, thus you have no exposure to our balance sheet. We cannot MT. Gox you and you essentially have no counterparty, default or credit risk because your counterparty is the blockchain, and you trade peer to peer vs. through a centralized exchange. Pretty big difference from the legacy systems that we're all used to, no?

The Difference between Bitcoin 1.0 and Bitcoin 2.0 Companies

To begin with, I'd like to make clear that not only is the title misleading, but all references to the same are essentially inaccurate. Bitcoin itself is still in beta stage (0.9x) thus its not accurate to refer to 1st and 2nd generations of bitcoin businesses. If anything, we're all in beta. Now that I've gotten that off of my chest... The first bold generation of bitcoin entrepreneurs (it's amazing that you can refer to companies born 2 and 3 years ago as a previous generation, it just goes to show you how fast this space is moving!) built businesses based upon bitcoin as a legacy commodity. Basically, they bought, sold, transmitted or transferred it as a unit of value. They did this because that's how everything was done for the last several thousand years in the financial services industry. Basically, they had no choice - or so they thought. Then came those who read the Satoshi whitepaper and the bitcoin wiki and saw a very different meaning. My team and I are among those entrepreneurs. We saw that bitcoins were malleable, programmable, tools with which one can use to paint upon the canvas of value. A far cry from the moving of static financial widgets from place to place. Think of moving bitcoins around (bitcoin 1.0 companies) vs programming bitcoins to act on their own according to their contractual owner's wishes (bitcoin 2.0 companies) akin to pushing a model T Ford around town vs. programming your driverless electric Tesla to go by the grocery store to pick up some fresh produce before swinging by the school to pick up your kids on the way home to meet you to take your wife (girlfriend?) out to dinner.

A Real World Comparison of Bitcoin Companies

Tickers Available

Veritaseum's UltraCoin: ~45,000+
Asset Classes Available
Veritaseum's UltraCoin: Stocks, Bonds, Commodities, Forex, Cryptos and many indices
Costs Veritaseum's UltraCoin: up to 25 bp round trip for all products (primarily smart contract swap driven)
Leverage available: Veritaseum's UltraCoin: up to 10,000x, with finite digital P/L parameters (no margin calls, no negative account drawdowns)
How does Veritaseum do it? We program the bitcoin to act according to a mutual agreement between two or more parties, then send it to the blockchain to act accordingly. These agreements are self executing, unbreakable promises known as "Smart Contracts". In this case, they are highly customizable, P2P OTC swaps, but we are working on a multitude of other products, services and solutions as well. We also supply very high level, unconflicted, independent and impartial strategy and research for our customers. Since we don't use our balance sheet and we don't act as a principal, we have no incentive to skewer the research in any particular direction.

Smart Contracts as Transaction Vehicles: The Safest Possible Way To Exchange Value

Veritaseum's UltraCoin BTC-based smart contracts are: 1. highly flexible - you design your own derivatives yourself using your own parameters via our simple graphical user interface 2. self-executing 3. autonomous 4. unbreachable: we call them, the unbreakable promise! They are backed, fortified and stored by/on the Bitcoin blockchain itself 5. uber-transparent: simple click the "trace transaction" button to find the location and historical travel path of your assets anytime, from anywhere you have an internet connection

Trading Through a Balance Sheet-Based Financial Institution vs. Distributed, Decentralized, P2P Software Concern

What I do want to accomplish is the education through the fact that the Bitcoin protocol has given rise to the genesis of a new type of company, with a new business model that can offer a totally new type of product. As you were able to see from above, Veritaseum's UltraCoin offers a very uniquer product with many if not all of the attributes that potential competitors offer, with a slew of attributes that others can't touch. This is done at 1/150th of the price and at much less risk! When dealing with Veritaseum's UltraCoin, you can never get Gox'd because we never have (nor do we want) possession of your coins or fiat - every, at any time. Because we don't user our balance sheet (we are a software company, not a centralized exchange or brokedealer) you:
This is just the beginning of what is capable with bitcoin (and this is pure bitcoin, not altcoins, no tokens, no sidechains, just pure, old fashioned [at least as old as it can be considered] bitcoin) and 2.0 business models. Wait until you see the new stuff we'll be rolling out.
I implore you to download our:
There's also a lot of BTC industry research available for download as well as our blog which has some of the best fundamental and macro research available on the web. Hardcore traders, investors and speculators should check out my latest piece: It's All Out War, Pt 3: Is the Danish Krone Peg to Euro More Fragile Than Glass Beads? The Danish National Bank Infers So!
Any bitcoin-rich individuals or entities looking to provide liquidity to the system, individuals/compamies who wish to partner, accredited investors looking for a piece of the action (you have to be willing to sign and NDA, we are quite open to working with anybody), or those who simply want to shoot the breeze should feel free to contact us.
Bitcoin 2.0 An example of an UltraCoin smart contract summary
Here's some info about me, my team and what we're doing at Veritaseum:
submitted by Reggie-Middleton to BitcoinDerivatives [link] [comments]

Subreddit Stats: cs7646_fall2017 top posts from 2017-08-23 to 2017-12-10 22:43 PDT

Period: 108.98 days
Submissions Comments
Total 999 10425
Rate (per day) 9.17 95.73
Unique Redditors 361 695
Combined Score 4162 17424

Top Submitters' Top Submissions

  1. 296 points, 24 submissions: tuckerbalch
    1. Project 2 Megathread (optimize_something) (33 points, 475 comments)
    2. project 3 megathread (assess_learners) (27 points, 1130 comments)
    3. For online students: Participation check #2 (23 points, 47 comments)
    4. ML / Data Scientist internship and full time job opportunities (20 points, 36 comments)
    5. Advance information on Project 3 (19 points, 22 comments)
    6. participation check #3 (19 points, 29 comments)
    7. manual_strategy project megathread (17 points, 825 comments)
    8. project 4 megathread (defeat_learners) (15 points, 209 comments)
    9. project 5 megathread (marketsim) (15 points, 484 comments)
    10. QLearning Robot project megathread (12 points, 691 comments)
  2. 278 points, 17 submissions: davebyrd
    1. A little more on Pandas indexing/slicing ([] vs ix vs iloc vs loc) and numpy shapes (37 points, 10 comments)
    2. Project 1 Megathread (assess_portfolio) (34 points, 466 comments)
    3. marketsim grades are up (25 points, 28 comments)
    4. Midterm stats (24 points, 32 comments)
    5. Welcome to CS 7646 MLT! (23 points, 132 comments)
    6. How to interact with TAs, discuss grades, performance, request exceptions... (18 points, 31 comments)
    7. assess_portfolio grades have been released (18 points, 34 comments)
    8. Midterm grades posted to T-Square (15 points, 30 comments)
    9. Removed posts (15 points, 2 comments)
    10. assess_portfolio IMPORTANT README: about sample frequency (13 points, 26 comments)
  3. 118 points, 17 submissions: yokh_cs7646
    1. Exam 2 Information (39 points, 40 comments)
    2. Reformat Assignment Pages? (14 points, 2 comments)
    3. What did the real-life Michael Burry have to say? (13 points, 2 comments)
    4. PSA: Read the Rubric carefully and ahead-of-time (8 points, 15 comments)
    5. How do I know that I'm correct and not just lucky? (7 points, 31 comments)
    6. ML Papers and News (7 points, 5 comments)
    7. What are "question pools"? (6 points, 4 comments)
    8. Explanation of "Regression" (5 points, 5 comments)
    9. GT Github taking FOREVER to push to..? (4 points, 14 comments)
    10. Dead links on the course wiki (3 points, 2 comments)
  4. 67 points, 13 submissions: harshsikka123
    1. To all those struggling, some words of courage! (20 points, 18 comments)
    2. Just got locked out of my apartment, am submitting from a stairwell (19 points, 12 comments)
    3. Thoroughly enjoying the lectures, some of the best I've seen! (13 points, 13 comments)
    4. Just for reference, how long did Assignment 1 take you all to implement? (3 points, 31 comments)
    5. Grade_Learners Taking about 7 seconds on Buffet vs 5 on Local, is this acceptable if all tests are passing? (2 points, 2 comments)
    6. Is anyone running into the Runtime Error, Invalid DISPLAY variable when trying to save the figures as pdfs to the Buffet servers? (2 points, 9 comments)
    7. Still not seeing an ML4T onboarding test on ProctorTrack (2 points, 10 comments)
    8. Any news on when Optimize_Something grades will be released? (1 point, 1 comment)
    9. Baglearner RMSE and leaf size? (1 point, 2 comments)
    10. My results are oh so slightly off, any thoughts? (1 point, 11 comments)
  5. 63 points, 10 submissions: htrajan
    1. Sample test case: missing data (22 points, 36 comments)
    2. Optimize_something test cases (13 points, 22 comments)
    3. Met Burt Malkiel today (6 points, 1 comment)
    4. Heads up: Dataframe.std != np.std (5 points, 5 comments)
    5. optimize_something: graph (5 points, 29 comments)
    6. Schedule still reflecting shortened summer timeframe? (4 points, 3 comments)
    7. Quick clarification about InsaneLearner (3 points, 8 comments)
    8. Test cases using rfr? (3 points, 5 comments)
    9. Input format of rfr (2 points, 1 comment)
    10. [Shameless recruiting post] Wealthfront is hiring! (0 points, 9 comments)
  6. 62 points, 7 submissions: swamijay
    1. defeat_learner test case (34 points, 38 comments)
    2. Project 3 test cases (15 points, 27 comments)
    3. Defeat_Learner - related questions (6 points, 9 comments)
    4. Options risk/reward (2 points, 0 comments)
    5. manual strategy - you must remain in the position for 21 trading days. (2 points, 9 comments)
    6. standardizing values (2 points, 0 comments)
    7. technical indicators - period for moving averages, or anything that looks past n days (1 point, 3 comments)
  7. 61 points, 9 submissions: gatech-raleighite
    1. Protip: Better reddit search (22 points, 9 comments)
    2. Helpful numpy array cheat sheet (16 points, 10 comments)
    3. In your experience Professor, Mr. Byrd, which strategy is "best" for trading ? (12 points, 10 comments)
    4. Industrial strength or mature versions of the assignments ? (4 points, 2 comments)
    5. What is the correct (faster) way of doing this bit of pandas code (updating multiple slice values) (2 points, 10 comments)
    6. What is the correct (pythonesque?) way to select 60% of rows ? (2 points, 11 comments)
    7. How to get adjusted close price for funds not publicly traded (TSP) ? (1 point, 2 comments)
    8. Is there a way to only test one or 2 of the learners using grade_learners.py ? (1 point, 10 comments)
    9. OMS CS Digital Career Seminar Series - Scott Leitstein recording available online? (1 point, 4 comments)
  8. 60 points, 2 submissions: reyallan
    1. [Project Questions] Unit Tests for assess_portfolio assignment (58 points, 52 comments)
    2. Financial data, technical indicators and live trading (2 points, 8 comments)
  9. 59 points, 12 submissions: dyllll
    1. Please upvote helpful posts and other advice. (26 points, 1 comment)
    2. Books to further study in trading with machine learning? (14 points, 9 comments)
    3. Is Q-Learning the best reinforcement learning method for stock trading? (4 points, 4 comments)
    4. Any way to download the lessons? (3 points, 4 comments)
    5. Can a TA please contact me? (2 points, 7 comments)
    6. Is the vectorization code from the youtube video available to us? (2 points, 2 comments)
    7. Position of webcam (2 points, 15 comments)
    8. Question about assignment one (2 points, 5 comments)
    9. Are udacity quizzes recorded? (1 point, 2 comments)
    10. Does normalization of indicators matter in a Q-Learner? (1 point, 7 comments)
  10. 56 points, 2 submissions: jan-laszlo
    1. Proper git workflow (43 points, 19 comments)
    2. Adding you SSH key for password-less access to remote hosts (13 points, 7 comments)
  11. 53 points, 1 submission: agifft3_omscs
    1. [Project Questions] Unit Tests for optimize_something assignment (53 points, 94 comments)
  12. 50 points, 16 submissions: BNielson
    1. Regression Trees (7 points, 9 comments)
    2. Two Interpretations of RFR are leading to two different possible Sharpe Ratios -- Need Instructor clarification ASAP (5 points, 3 comments)
    3. PYTHONPATH=../:. python grade_analysis.py (4 points, 7 comments)
    4. Running on Windows and PyCharm (4 points, 4 comments)
    5. Studying for the midterm: python questions (4 points, 0 comments)
    6. Assess Learners Grader (3 points, 2 comments)
    7. Manual Strategy Grade (3 points, 2 comments)
    8. Rewards in Q Learning (3 points, 3 comments)
    9. SSH/Putty on Windows (3 points, 4 comments)
    10. Slight contradiction on ProctorTrack Exam (3 points, 4 comments)
  13. 49 points, 7 submissions: j0shj0nes
    1. QLearning Robot - Finalized and Released Soon? (18 points, 4 comments)
    2. Flash Boys, HFT, frontrunning... (10 points, 3 comments)
    3. Deprecations / errata (7 points, 5 comments)
    4. Udacity lectures via GT account, versus personal account (6 points, 2 comments)
    5. Python: console-driven development (5 points, 5 comments)
    6. Buffet pandas / numpy versions (2 points, 2 comments)
    7. Quant research on earnings calls (1 point, 0 comments)
  14. 45 points, 11 submissions: Zapurza
    1. Suggestion for Strategy learner mega thread. (14 points, 1 comment)
    2. Which lectures to watch for upcoming project q learning robot? (7 points, 5 comments)
    3. In schedule file, there is no link against 'voting ensemble strategy'? Scheduled for Nov 13-20 week (6 points, 3 comments)
    4. How to add questions to the question bank? I can see there is 2% credit for that. (4 points, 5 comments)
    5. Scratch paper use (3 points, 6 comments)
    6. The big short movie link on you tube says the video is not available in your country. (3 points, 9 comments)
    7. Distance between training data date and future forecast date (2 points, 2 comments)
    8. News affecting stock market and machine learning algorithms (2 points, 4 comments)
    9. pandas import in pydev (2 points, 0 comments)
    10. Assess learner server error (1 point, 2 comments)
  15. 43 points, 23 submissions: chvbs2000
    1. Is the Strategy Learner finalized? (10 points, 3 comments)
    2. Test extra 15 test cases for marketsim (3 points, 12 comments)
    3. Confusion between the term computing "back-in time" and "going forward" (2 points, 1 comment)
    4. How to define "each transaction"? (2 points, 4 comments)
    5. How to filling the assignment into Jupyter Notebook? (2 points, 4 comments)
    6. IOError: File ../data/SPY.csv does not exist (2 points, 4 comments)
    7. Issue in Access to machines at Georgia Tech via MacOS terminal (2 points, 5 comments)
    8. Reading data from Jupyter Notebook (2 points, 3 comments)
    9. benchmark vs manual strategy vs best possible strategy (2 points, 2 comments)
    10. global name 'pd' is not defined (2 points, 4 comments)
  16. 43 points, 15 submissions: shuang379
    1. How to test my code on buffet machine? (10 points, 15 comments)
    2. Can we get the ppt for "Decision Trees"? (8 points, 2 comments)
    3. python question pool question (5 points, 6 comments)
    4. set up problems (3 points, 4 comments)
    5. Do I need another camera for scanning? (2 points, 9 comments)
    6. Is chapter 9 covered by the midterm? (2 points, 2 comments)
    7. Why grade_analysis.py could run even if I rm analysis.py? (2 points, 5 comments)
    8. python question pool No.48 (2 points, 6 comments)
    9. where could we find old versions of the rest projects? (2 points, 2 comments)
    10. where to put ml4t-libraries to install those libraries? (2 points, 1 comment)
  17. 42 points, 14 submissions: larrva
    1. is there a mistake in How-to-learn-a-decision-tree.pdf (7 points, 7 comments)
    2. maximum recursion depth problem (6 points, 10 comments)
    3. [Urgent]Unable to use proctortrack in China (4 points, 21 comments)
    4. manual_strategynumber of indicators to use (3 points, 10 comments)
    5. Assignment 2: Got 63 points. (3 points, 3 comments)
    6. Software installation workshop (3 points, 7 comments)
    7. question regarding functools32 version (3 points, 3 comments)
    8. workshop on Aug 31 (3 points, 8 comments)
    9. Mount remote server to local machine (2 points, 2 comments)
    10. any suggestion on objective function (2 points, 3 comments)
  18. 41 points, 8 submissions: Ran__Ran
    1. Any resource will be available for final exam? (19 points, 6 comments)
    2. Need clarification on size of X, Y in defeat_learners (7 points, 10 comments)
    3. Get the same date format as in example chart (4 points, 3 comments)
    4. Cannot log in GitHub Desktop using GT account? (3 points, 3 comments)
    5. Do we have notes or ppt for Time Series Data? (3 points, 5 comments)
    6. Can we know the commission & market impact for short example? (2 points, 7 comments)
    7. Course schedule export issue (2 points, 15 comments)
    8. Buying/seeking beta v.s. buying/seeking alpha (1 point, 6 comments)
  19. 38 points, 4 submissions: ProudRamblinWreck
    1. Exam 2 Study topics (21 points, 5 comments)
    2. Reddit participation as part of grade? (13 points, 32 comments)
    3. Will birds chirping in the background flag me on Proctortrack? (3 points, 5 comments)
    4. Midterm Study Guide question pools (1 point, 2 comments)
  20. 37 points, 6 submissions: gatechben
    1. Submission page for strategy learner? (14 points, 10 comments)
    2. PSA: The grading script for strategy_learner changed on the 26th (10 points, 9 comments)
    3. Where is util.py supposed to be located? (8 points, 8 comments)
    4. PSA:. The default dates in the assignment 1 template are not the same as the examples on the assignment page. (2 points, 1 comment)
    5. Schedule: Discussion of upcoming trading projects? (2 points, 3 comments)
    6. [defeat_learners] More than one column for X? (1 point, 1 comment)
  21. 37 points, 3 submissions: jgeiger
    1. Please send/announce when changes are made to the project code (23 points, 7 comments)
    2. The Big Short on Netflix for OMSCS students (week of 10/16) (11 points, 6 comments)
    3. Typo(?) for Assess_portfolio wiki page (3 points, 2 comments)
  22. 35 points, 10 submissions: ltian35
    1. selecting row using .ix (8 points, 9 comments)
    2. Will the following 2 topics be included in the final exam(online student)? (7 points, 4 comments)
    3. udacity quiz (7 points, 4 comments)
    4. pdf of lecture (3 points, 4 comments)
    5. print friendly version of the course schedule (3 points, 9 comments)
    6. about learner regression vs classificaiton (2 points, 2 comments)
    7. is there a simple way to verify the correctness of our decision tree (2 points, 4 comments)
    8. about Building an ML-based forex strategy (1 point, 2 comments)
    9. about technical analysis (1 point, 6 comments)
    10. final exam online time period (1 point, 2 comments)
  23. 33 points, 2 submissions: bhrolenok
    1. Assess learners template and grading script is now available in the public repository (24 points, 0 comments)
    2. Tutorial for software setup on Windows (9 points, 35 comments)
  24. 31 points, 4 submissions: johannes_92
    1. Deadline extension? (26 points, 40 comments)
    2. Pandas date indexing issues (2 points, 5 comments)
    3. Why do we subtract 1 from SMA calculation? (2 points, 3 comments)
    4. Unexpected number of calls to query, sum=20 (should be 20), max=20 (should be 1), min=20 (should be 1) -bash: syntax error near unexpected token `(' (1 point, 3 comments)
  25. 30 points, 5 submissions: log_base_pi
    1. The Massive Hedge Fund Betting on AI [Article] (9 points, 1 comment)
    2. Useful Python tips and tricks (8 points, 10 comments)
    3. Video of overview of remaining projects with Tucker Balch (7 points, 1 comment)
    4. Will any material from the lecture by Goldman Sachs be covered on the exam? (5 points, 1 comment)
    5. What will the 2nd half of the course be like? (1 point, 8 comments)
  26. 30 points, 4 submissions: acschwabe
    1. Assignment and Exam Calendar (ICS File) (17 points, 6 comments)
    2. Please OMG give us any options for extra credit (8 points, 12 comments)
    3. Strategy learner question (3 points, 1 comment)
    4. Proctortrack: Do we need to schedule our test time? (2 points, 10 comments)
  27. 29 points, 9 submissions: _ant0n_
    1. Next assignment? (9 points, 6 comments)
    2. Proctortrack Onboarding test? (6 points, 11 comments)
    3. Manual strategy: Allowable positions (3 points, 7 comments)
    4. Anyone watched Black Scholes documentary? (2 points, 16 comments)
    5. Buffet machines hardware (2 points, 6 comments)
    6. Defeat learners: clarification (2 points, 4 comments)
    7. Is 'optimize_something' on the way to class GitHub repo? (2 points, 6 comments)
    8. assess_portfolio(... gen_plot=True) (2 points, 8 comments)
    9. remote job != remote + international? (1 point, 15 comments)
  28. 26 points, 10 submissions: umersaalis
    1. comments.txt (7 points, 6 comments)
    2. Assignment 2: report.pdf (6 points, 30 comments)
    3. Assignment 2: report.pdf sharing & plagiarism (3 points, 12 comments)
    4. Max Recursion Limit (3 points, 10 comments)
    5. Parametric vs Non-Parametric Model (3 points, 13 comments)
    6. Bag Learner Training (1 point, 2 comments)
    7. Decision Tree Issue: (1 point, 2 comments)
    8. Error in Running DTLearner and RTLearner (1 point, 12 comments)
    9. My Results for the four learners. Please check if you guys are getting values somewhat near to these. Exact match may not be there due to randomization. (1 point, 4 comments)
    10. Can we add the assignments and solutions to our public github profile? (0 points, 7 comments)
  29. 26 points, 6 submissions: abiele
    1. Recommended Reading? (13 points, 1 comment)
    2. Number of Indicators Used by Actual Trading Systems (7 points, 6 comments)
    3. Software Install Instructions From TA's Video Not Working (2 points, 2 comments)
    4. Suggest that TA/Instructor Contact Info Should be Added to the Syllabus (2 points, 2 comments)
    5. ML4T Software Setup (1 point, 3 comments)
    6. Where can I find the grading folder? (1 point, 4 comments)
  30. 26 points, 6 submissions: tomatonight
    1. Do we have all the information needed to finish the last project Strategy learner? (15 points, 3 comments)
    2. Does anyone interested in cryptocurrency trading/investing/others? (3 points, 6 comments)
    3. length of portfolio daily return (3 points, 2 comments)
    4. Did Michael Burry, Jamie&Charlie enter the short position too early? (2 points, 4 comments)
    5. where to check participation score (2 points, 1 comment)
    6. Where to collect the midterm exam? (forgot to take it last week) (1 point, 3 comments)
  31. 26 points, 3 submissions: hilo260
    1. Is there a template for optimize_something on GitHub? (14 points, 3 comments)
    2. Marketism project? (8 points, 6 comments)
    3. "Do not change the API" (4 points, 7 comments)
  32. 26 points, 3 submissions: niufen
    1. Windows Server Setup Guide (23 points, 16 comments)
    2. Strategy Learner Adding UserID as Comment (2 points, 2 comments)
    3. Connect to server via Python Error (1 point, 6 comments)
  33. 26 points, 3 submissions: whoyoung99
    1. How much time you spend on Assess Learner? (13 points, 47 comments)
    2. Git clone repository without fork (8 points, 2 comments)
    3. Just for fun (5 points, 1 comment)
  34. 25 points, 8 submissions: SharjeelHanif
    1. When can we discuss defeat learners methods? (10 points, 1 comment)
    2. Are the buffet servers really down? (3 points, 2 comments)
    3. Are the midterm results in proctortrack gone? (3 points, 3 comments)
    4. Will these finance topics be covered on the final? (3 points, 9 comments)
    5. Anyone get set up with Proctortrack? (2 points, 10 comments)
    6. Incentives Quiz Discussion (2-01, Lesson 11.8) (2 points, 3 comments)
    7. Anyone from Houston, TX (1 point, 1 comment)
    8. How can I trace my error back to a line of code? (assess learners) (1 point, 3 comments)
  35. 25 points, 5 submissions: jlamberts3
    1. Conda vs VirtualEnv (7 points, 8 comments)
    2. Cool Portfolio Backtesting Tool (6 points, 6 comments)
    3. Warren Buffett wins $1M bet made a decade ago that the S&P 500 stock index would outperform hedge funds (6 points, 12 comments)
    4. Windows Ubuntu Subsystem Putty Alternative (4 points, 0 comments)
    5. Algorithmic Trading Of Digital Assets (2 points, 0 comments)
  36. 25 points, 4 submissions: suman_paul
    1. Grade statistics (9 points, 3 comments)
    2. Machine Learning book by Mitchell (6 points, 11 comments)
    3. Thank You (6 points, 6 comments)
    4. Assignment1 ready to be cloned? (4 points, 4 comments)
  37. 25 points, 3 submissions: Spareo
    1. Submit Assignments Function (OS X/Linux) (15 points, 6 comments)
    2. Quantsoftware Site down? (8 points, 38 comments)
    3. ML4T_2017Spring folder on Buffet server?? (2 points, 5 comments)
  38. 24 points, 14 submissions: nelsongcg
    1. Is it realistic for us to try to build our own trading bot and profit? (6 points, 21 comments)
    2. Is the risk free rate zero for any country? (3 points, 7 comments)
    3. Models and black swans - discussion (3 points, 0 comments)
    4. Normal distribution assumption for options pricing (2 points, 3 comments)
    5. Technical analysis for cryptocurrency market? (2 points, 4 comments)
    6. A counter argument to models by Nassim Taleb (1 point, 0 comments)
    7. Are we demandas to use the sample for part 1? (1 point, 1 comment)
    8. Benchmark for "trusting" your trading algorithm (1 point, 5 comments)
    9. Don't these two statements on the project description contradict each other? (1 point, 2 comments)
    10. Forgot my TA (1 point, 6 comments)
  39. 24 points, 11 submissions: nurobezede
    1. Best way to obtain survivor bias free stock data (8 points, 1 comment)
    2. Please confirm Midterm is from October 13-16 online with proctortrack. (5 points, 2 comments)
    3. Are these DTlearner Corr values good? (2 points, 6 comments)
    4. Testing gen_data.py (2 points, 3 comments)
    5. BagLearner of Baglearners says 'Object is not callable' (1 point, 8 comments)
    6. DTlearner training RMSE none zero but almost there (1 point, 2 comments)
    7. How to submit analysis using git and confirm it? (1 point, 2 comments)
    8. Passing kwargs to learners in a BagLearner (1 point, 5 comments)
    9. Sampling for bagging tree (1 point, 8 comments)
    10. code failing the 18th test with grade_learners.py (1 point, 6 comments)
  40. 24 points, 4 submissions: AeroZach
    1. questions about how to build a machine learning system that's going to work well in a real market (12 points, 6 comments)
    2. Survivor Bias Free Data (7 points, 5 comments)
    3. Genetic Algorithms for Feature selection (3 points, 5 comments)
    4. How far back can you train? (2 points, 2 comments)
  41. 23 points, 9 submissions: vsrinath6
    1. Participation check #3 - Haven't seen it yet (5 points, 5 comments)
    2. What are the tasks for this week? (5 points, 12 comments)
    3. No projects until after the mid-term? (4 points, 5 comments)
    4. Format / Syllabus for the exams (2 points, 3 comments)
    5. Has there been a Participation check #4? (2 points, 8 comments)
    6. Project 3 not visible on T-Square (2 points, 3 comments)
    7. Assess learners - do we need to check is method implemented for BagLearner? (1 point, 4 comments)
    8. Correct number of days reported in the dataframe (should be the number of trading days between the start date and end date, inclusive). (1 point, 0 comments)
    9. RuntimeError: Invalid DISPLAY variable (1 point, 2 comments)
  42. 23 points, 8 submissions: nick_algorithm
    1. Help with getting Average Daily Return Right (6 points, 7 comments)
    2. Hint for args argument in scipy minimize (5 points, 2 comments)
    3. How do you make money off of highly volatile (high SDDR) stocks? (4 points, 5 comments)
    4. Can We Use Code Obtained from Class To Make Money without Fear of Being Sued (3 points, 6 comments)
    5. Is the Std for Bollinger Bands calculated over the same timespan of the Moving Average? (2 points, 2 comments)
    6. Can't run grade_learners.py but I'm not doing anything different from the last assignment (?) (1 point, 5 comments)
    7. How to determine value at terminal node of tree? (1 point, 1 comment)
    8. Is there a way to get Reddit announcements piped to email (or have a subsequent T-Square announcement published simultaneously) (1 point, 2 comments)
  43. 23 points, 1 submission: gong6
    1. Is manual strategy ready? (23 points, 6 comments)
  44. 21 points, 6 submissions: amchang87
    1. Reason for public reddit? (6 points, 4 comments)
    2. Manual Strategy - 21 day holding Period (4 points, 12 comments)
    3. Sharpe Ratio (4 points, 6 comments)
    4. Manual Strategy - No Position? (3 points, 3 comments)
    5. ML / Manual Trader Performance (2 points, 0 comments)
    6. T-Square Submission Missing? (2 points, 3 comments)
  45. 21 points, 6 submissions: fall2017_ml4t_cs_god
    1. PSA: When typing in code, please use 'formatting help' to see how to make the code read cleaner. (8 points, 2 comments)
    2. Why do Bollinger Bands use 2 standard deviations? (5 points, 20 comments)
    3. How do I log into the [email protected]? (3 points, 1 comment)
    4. Is midterm 2 cumulative? (2 points, 3 comments)
    5. Where can we learn about options? (2 points, 2 comments)
    6. How do you calculate the analysis statistics for bps and manual strategy? (1 point, 1 comment)
  46. 21 points, 5 submissions: Jmitchell83
    1. Manual Strategy Grades (12 points, 9 comments)
    2. two-factor (3 points, 6 comments)
    3. Free to use volume? (2 points, 1 comment)
    4. Is MC1-Project-1 different than assess_portfolio? (2 points, 2 comments)
    5. Online Participation Checks (2 points, 4 comments)
  47. 21 points, 5 submissions: Sergei_B
    1. Do we need to worry about missing data for Asset Portfolio? (14 points, 13 comments)
    2. How do you get data from yahoo in panda? the sample old code is below: (2 points, 3 comments)
    3. How to fix import pandas as pd ImportError: No module named pandas? (2 points, 4 comments)
    4. Python Practice exam Question 48 (2 points, 2 comments)
    5. Mac: "virtualenv : command not found" (1 point, 2 comments)
  48. 21 points, 3 submissions: mharrow3
    1. First time reddit user .. (17 points, 37 comments)
    2. Course errors/types (2 points, 2 comments)
    3. Install course software on macOS using Vagrant .. (2 points, 0 comments)
  49. 20 points, 9 submissions: iceguyvn
    1. Manual strategy implementation for future projects (4 points, 15 comments)
    2. Help with correlation calculation (3 points, 15 comments)
    3. Help! maximum recursion depth exceeded (3 points, 10 comments)
    4. Help: how to index by date? (2 points, 4 comments)
    5. How to attach a 1D array to a 2D array? (2 points, 2 comments)
    6. How to set a single cell in a 2D DataFrame? (2 points, 4 comments)
    7. Next assignment after marketsim? (2 points, 4 comments)
    8. Pythonic way to detect the first row? (1 point, 6 comments)
    9. Questions regarding seed (1 point, 1 comment)
  50. 20 points, 3 submissions: JetsonDavis
    1. Push back assignment 3? (10 points, 14 comments)
    2. Final project (9 points, 3 comments)
    3. Numpy versions (1 point, 2 comments)
  51. 20 points, 2 submissions: pharmerino
    1. assess_portfolio test cases (16 points, 88 comments)
    2. ML4T Assignments (4 points, 6 comments)

Top Commenters

  1. tuckerbalch (2296 points, 1185 comments)
  2. davebyrd (1033 points, 466 comments)
  3. yokh_cs7646 (320 points, 177 comments)
  4. rgraziano3 (266 points, 147 comments)
  5. j0shj0nes (264 points, 148 comments)
  6. i__want__piazza (236 points, 127 comments)
  7. swamijay (227 points, 116 comments)
  8. _ant0n_ (205 points, 149 comments)
  9. ml4tstudent (204 points, 117 comments)
  10. gatechben (179 points, 107 comments)
  11. BNielson (176 points, 108 comments)
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  13. Artmageddon (167 points, 83 comments)
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  15. boyko11 (154 points, 99 comments)
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  17. log_base_pi (141 points, 80 comments)
  18. Ran__Ran (139 points, 99 comments)
  19. johnsmarion (136 points, 86 comments)
  20. jgorman30_gatech (135 points, 102 comments)
  21. dyllll (125 points, 91 comments)
  22. MikeLachmayr (123 points, 95 comments)
  23. awhoof (113 points, 72 comments)
  24. SharjeelHanif (106 points, 59 comments)
  25. larrva (101 points, 69 comments)
  26. augustinius (100 points, 52 comments)
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  28. vansh21k (98 points, 62 comments)
  29. W1redgh0st (97 points, 70 comments)
  30. ybai67 (96 points, 41 comments)
  31. JuanCarlosKuriPinto (95 points, 54 comments)
  32. acschwabe (93 points, 58 comments)
  33. pharmerino (92 points, 47 comments)
  34. jgeiger (91 points, 28 comments)
  35. Zapurza (88 points, 70 comments)
  36. jyoms (87 points, 55 comments)
  37. omscs_zenan (87 points, 44 comments)
  38. nurobezede (85 points, 64 comments)
  39. BelaZhu (83 points, 50 comments)
  40. jason_gt (82 points, 36 comments)
  41. shuang379 (81 points, 64 comments)
  42. ggatech (81 points, 51 comments)
  43. nitinkodial_gatech (78 points, 59 comments)
  44. harshsikka123 (77 points, 55 comments)
  45. bkeenan7 (76 points, 49 comments)
  46. moxyll (76 points, 32 comments)
  47. nelsongcg (75 points, 53 comments)
  48. nickzelei (75 points, 41 comments)
  49. hunter2omscs (74 points, 29 comments)
  50. pointblank41 (73 points, 36 comments)
  51. zheweisun (66 points, 48 comments)
  52. bs_123 (66 points, 36 comments)
  53. storytimeuva (66 points, 36 comments)
  54. sva6 (66 points, 31 comments)
  55. bhrolenok (66 points, 27 comments)
  56. lingkaizuo (63 points, 46 comments)
  57. Marvel_this (62 points, 36 comments)
  58. agifft3_omscs (62 points, 35 comments)
  59. ssung40 (61 points, 47 comments)
  60. amchang87 (61 points, 32 comments)
  61. joshuak_gatech (61 points, 30 comments)
  62. fall2017_ml4t_cs_god (60 points, 50 comments)
  63. ccrouch8 (60 points, 45 comments)
  64. nick_algorithm (60 points, 29 comments)
  65. JetsonDavis (59 points, 35 comments)
  66. yjacket103 (58 points, 36 comments)
  67. hilo260 (58 points, 29 comments)
  68. coolwhip1234 (58 points, 15 comments)
  69. chvbs2000 (57 points, 49 comments)
  70. suman_paul (57 points, 29 comments)
  71. masterm (57 points, 23 comments)
  72. RolfKwakkelaar (55 points, 32 comments)
  73. rpb3 (55 points, 23 comments)
  74. venkatesh8 (54 points, 30 comments)
  75. omscs_avik (53 points, 37 comments)
  76. bman8810 (52 points, 31 comments)
  77. snladak (51 points, 31 comments)
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  79. mlcrypto (50 points, 32 comments)
  80. omscs-student (49 points, 26 comments)
  81. NellVega (48 points, 32 comments)
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  84. caa5042 (47 points, 34 comments)
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  86. krushnatmore (44 points, 32 comments)
  87. sn_48 (43 points, 22 comments)
  88. thenewprofessional (43 points, 16 comments)
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  90. gatech-raleighite (42 points, 30 comments)
  91. chrisong2017 (41 points, 26 comments)
  92. ProudRamblinWreck (41 points, 24 comments)
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  99. nadav3 (40 points, 18 comments)
  100. gt7431a (40 points, 16 comments)

Top Submissions

  1. [Project Questions] Unit Tests for assess_portfolio assignment by reyallan (58 points, 52 comments)
  2. [Project Questions] Unit Tests for optimize_something assignment by agifft3_omscs (53 points, 94 comments)
  3. Proper git workflow by jan-laszlo (43 points, 19 comments)
  4. Exam 2 Information by yokh_cs7646 (39 points, 40 comments)
  5. A little more on Pandas indexing/slicing ([] vs ix vs iloc vs loc) and numpy shapes by davebyrd (37 points, 10 comments)
  6. Project 1 Megathread (assess_portfolio) by davebyrd (34 points, 466 comments)
  7. defeat_learner test case by swamijay (34 points, 38 comments)
  8. Project 2 Megathread (optimize_something) by tuckerbalch (33 points, 475 comments)
  9. project 3 megathread (assess_learners) by tuckerbalch (27 points, 1130 comments)
  10. Deadline extension? by johannes_92 (26 points, 40 comments)

Top Comments

  1. 34 points: jgeiger's comment in QLearning Robot project megathread
  2. 31 points: coolwhip1234's comment in QLearning Robot project megathread
  3. 30 points: tuckerbalch's comment in Why Professor is usually late for class?
  4. 23 points: davebyrd's comment in Deadline extension?
  5. 20 points: jason_gt's comment in What would be a good quiz question regarding The Big Short?
  6. 19 points: yokh_cs7646's comment in For online students: Participation check #2
  7. 17 points: i__want__piazza's comment in project 3 megathread (assess_learners)
  8. 17 points: nathakhanh2's comment in Project 2 Megathread (optimize_something)
  9. 17 points: pharmerino's comment in Midterm study Megathread
  10. 17 points: tuckerbalch's comment in Midterm grades posted to T-Square
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Bitcoin 1.0 vs 2.0 – or – A Comparison of the Largest USD/BTC Exchange & UltraCoin: Features & Costs

I was looking at the offerings of Bitfinex just now, after hearing that Coinbase had the highest volume of any US-based broker just weeks after opening an exchange (we’ll discuss that at a different time, since Coinbase is waiving fees meaning those users are hot money, but likely are part of the largest installed user base). What I found was illuminating, at least for me since I don’t follow the offerings of BTC brokers and exchanges that closely. Bitfinix offers leverage, plain vanilla swaps and TRS (total return swaps - basically fixed/variable rates in major fiat denominations for cryptocurrency (BTC. LTC, DRK) exposure). I said to myself, “Wow, that’s pretty advanced.” Then I looked at the fees page, and saw the swaps were priced at 15%. The first thing that came to mind was the difference, and limitations that come with the business models of first generation bitcoin companies and second generation bitcoin companies.
To put this into perspective, Veritaseum's UltraCoin offers user programmable swaps (ie. you can make your own CDS, TRS or plain vanilla, or even a custom swap) with exposures to not just 3 cryptos and 3 or 4 fiat currencies, but all major and most exotic currency pairs (dozens) as well as over 45,000 tickers covering EVERY major asset class (stocks, bonds, forex & commodities as well as cryptos) from exchanges throughout the world****. This is all capable at a sliding scale of 10 to 25 basis points, round trip. That's the equivalent of 5 bp to 12.5 bp per trade - or 1/150th of what Bitfinex charges for a much simpler and more constrained product. In addition, all of this is done without UltraCoin havin any possession of your funds, whatsoever. Veritaseum (the company behind UltraCoin) is a software concern, not a financial entiity, thus you have no exposure to our balance sheet. We cannot MT. Gox you and you essentially have no counterparty, default or credit risk because your counterparty is the blockchain, and you trade peer to peer vs. through a centralized exchange. Pretty big difference, no?
I will continue my discussion on pricing and features right after I delineate the distinction between the two.

The Difference between Bitcoin 1.0 and Bitcoin 2.0 Companies

To begin with, I'd like to make clear that not only is the title misleading, but all references to the same are essentially inaccurate. Bitcoin itself is still in beta stage (0.9x) thus its not accurate to refer to 1st and 2nd generations of bitcoin businesses. If anything, we're all in beta. Now that I've gotten that off of my chest... The first bold generation of bitcoin entrepreneurs (it's amazing that you can refer to companies born 2 and 3 years ago as a previous generation, it just goes to show you how fast this space is moving!) built businesses based upon bitcoin as a legacy commodity. Basically, they bought, sold, transmitted or transferred it as a unit of value. They did this because that's how everything was done for the last several thousand years in the financial services industry. Basically, they had no choice - or so they thought. Then came those who read the Satoshi whitepaper and the bitcoin wiki and saw a very different meaning. My team and I are among those entrepreneurs. We saw that bitcoins were malleable, programmable, tools with which one can use to paint upon the canvas of value. A far cry from the moving of static financial widgets from place to place. Think of moving bitcoins around (bitcoin 1.0 companies) vs programming bitcoins to act on their own according to their contractual owner's wishes (bitcoin 2.0 companies) akin to pushing a model T Ford around town vs. programming your driverless electric Tesla to go by the grocery store to pick up some fresh produce before swinging by the school to pick up your kids on the way home to meet you to take your wife (girlfriend?) out to dinner.

A Real World Comparison of Bitcoin Companies: Bitfinex (v1.0) vs Veritaseum (v2.0)

Tickers Available

Bitfinex: ~6 or 7 (this is an approximation) - BTC, LTC, DRK, USD & (I'm assuming EUR, CNY and maybe GBP). It is quite possible that I'm underestimating their portfolio here.
Veritaseum's UltraCoin: ~45,000+
Asset Classes Available
Bitfinex: Crypto and forex
Veritaseum's UltraCoin: Stocks, Bonds, Commodities, Forex, Cryptos and many indices
Costs Bitfinex: up to 40bp round trip, 1,500bp for swaps
Veritaseum's UltraCoin: up to 25 bp round trip for all products (primarily smart contract swap driven)
Leverage available: Bitfinex: Assumed to be up to 50x, traditional margin lending
Veritaseum's UltraCoin: up to 10,000x, with finite digital P/L parameters (no margin calls, no negative account drawdowns)
How does Veritaseum do it? We program the bitcoin to act according to a mutual agreement between two or more parties, then send it to the blockchain to act accordingly. These agreements are self executing, unbreakable promises known as "Smart Contracts". In this case, they are highly customizable, P2P OTC swaps, but we are working on a multitude of other products, services and solutions as well. We also supply very high level, unconflicted, independent and impartial strategy and research for our customers. Since we don't use our balance sheet and we don't act as a principal, we have no incentive to skewer the research in any particular direction.

Smart Contracts as Transaction Vehicles: The Safest Possible Way To Exchange Value

Veritaseum's UltraCoin BTC-based smart contracts are: 1. highly flexible - you design your own derivatives yourself using your own parameters via our simple graphical user interface 2. self-executing 3. autonomous 4. unbreachable: we call them, the unbreakable promise! They are backed, fortified and stored by/on the Bitcoin blockchain itself 5. uber-transparent: simple click the "trace transaction" button to find the location and historical travel path of your assets anytime, from anywhere you have an internet connection

Trading Through a Balance Sheet-Based Financial Institution vs. Distributed, Decentralized, P2P Software Concern

It's a matter of risk. This is not a dig at Bitfinex. After looking at their volume (significant) and their offerings (quite impressive given the newness of this industry) the last thing I would ever want to do is to disparage them. As a matter of fact, I give them kudos! Good job, fellas! What I do want to accomplish is the education through the fact that the Bitcoin protocol has given rise to the genesis of a new type of company, with a new business model that can offer a totally new type of product. As you were able to see from above, Veritaseum's UltraCoin offers a very uniquer product with many if not all of the attributes that potential competitors offer, with a slew of attributes that others can't touch. This is done at 1/150th of the price and at much less risk! When dealing with Veritaseum's UltraCoin, you can never get Gox'd because we never have (nor do we want) possession of your coins or fiat - every, at any time. Because we don't user our balance sheet (we are a software company, not a centralized exchange or brokedealer) you:
This is just the beginning of what is capable with bitcoin (and this is pure bitcoin, not altcoins, no tokens, no sidechains, just pure, old fashioned [at least as old as it can be considered] bitcoin) and 2.0 business models. Wait until you see the new stuff we'll be rolling out.
We are in beta, so please be aware of that and the shortcomings that it entails (although it is also my opinion that most bitcoin companies are in beta because bitcoin itself is in beta, as implied above). I implore you to download, and trade with, our:
There's also a lot of BTC industry research available for download as well as our blog which has some of the best fundamental and macro research available on the web. Hardcore traders, investors and speculators should check out my latest piece: It's All Out War, Pt 3: Is the Danish Krone Peg to Euro More Fragile Than Glass Beads? The Danish National Bank Infers So!
Any bitcoin-rich individuals or entities looking to provide liquidity to the system, individuals/compamies who wish to partner, accredited investors looking for a piece of the action (you have to be willing to sign and NDA, we are quite open to working with anybody), or those who simply want to shoot the breeze should feel free to contact us.
Bitcoin 2.0 An example of an UltraCoin smart contract summary
Here's some info about me, my team and what we're doing at Veritaseum:
submitted by Reggie-Middleton to BitcoinMarkets [link] [comments]

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