FOREX-trading-test - ProProfs Quiz

AP Classes Breakdown

Me and couple of my friends made a breakdown of what AP Class you should take and why. This does not cover all but will cover a good amount to give a good idea to you guys.
AP Calculus AB - This class is a course for one semester of College Calculus. If you are in a position where you have taken Pre-Calculus but knows that you are not the strongest at math, then go for it. This class is pretty slow paced. This is best for non-STEM majors.
AP Calculus BC - This class is a course worth two semesters of College Calculus. This class is basically Calc AB + 2 Units. If you are going to be a STEM major or is confident with your math skills, then this is best suited for you.
AP Statistics - This class is not very difficult, as the knowledge you really need in this class is up to Algebra 2. This class is calculator and writing/analysis heavy however, the concepts are simple and as long as you know the formulas and calculate basically probability, and write conclusions, this is a good choice. Also recommended for both non-STEM and STEM Majors.
AP U.S. Government and Politics - This class is about the history of the government structures of our country and court cases that shape our current politics. Although easy to self-study, you should be able to write an FRQ well and analyze important documents and court cases. This year's test had many mixed results, so don't think this class is SUPER easy. It's not the most difficult, but can be challenging.
AP Macroeconomics - If you have never taken a class related to economics, it may be a struggle in the beginning. However, once you learn about the basic fundamentals and principles of economics, it is not too bad. Macroeconomics is the study of the whole economic market, compared to individual stores and market of Microeconomics. You will learn about Supply and Demand and so much more. You will need to learn how to use and draw graphs and change the graphs given a different situations. It's not super difficult if you study, but the foreign exchange market (Forex market) might be the most challenging.
AP English Language and Composition - This class is basically ACT or SAT Grammar sections. If you are good at grammar and are solid at writing analytical essays, this could be your class. But remember that fire-ass sounding essays does not equal a 4 or a 5. You must follow the CollegeBoard's rubric.
AP Environmental Science - One of the easier classes to self-study and is about the ecology and health of our globe. It focuses about global climate change and factors, habitats, and so much more. If you're into environmental policies or climate change around the world, this is a class for you.
AP Psychology - This class can also be self studied. It's all term based and if you can memorize vocab very well and know how to apply them in a FRQ (on the AP Test), you will get a 4/5.
AP Computer Science A - This class is about Java Programming. A good class if interested in majoring in CS or related majors in college. If you have taken APCSP or have prior coding knowledge, you should take it. If not, but is interested, suggested to look on free tutorials on youtube. It is JAVA programming, not JS.
AP Japanese/Chinese Language and Culture - Not gonna lie if you're not fluent or study a lot you're gonna be in a big disadvantage compared to fluent people. Knowing how to write characters, read characters, speak properly, and use of correct grammar is key. This is difficult, but practice can definitely help.
AP Music Theory - If you have been playing an instrument for many years and know the note structures, scales, and other musical theory components, you should take this class.
AP US History - If you are interested in the history of our country, this is a class for you. However, there are many things covered in this class, many different periods of time. If you are a solid DBQ writer and are looking into major in History, this is a class for you. However, I heard this class is article and textbook reading heavy.
Tbh all classes can be self-studied but the best APs to self study up on the list are:
- AP Calculus AB (BC if taken AB prior)
- AP Statistics
- AP U.S. Government and Politics
- AP Environmental Science
- AP Psychology
- AP Japanese / Chinese Language and Culture (If fluent don't study lol)
There is more we have but for now this should be good. :)
PM if questions.
submitted by tennisplayer0415 to APStudents [link] [comments]

What amount should I start trading with?

I'll use this post to also just say hello to everyone in the subreddit. Pleasure to meet you all.
As for my question, I'm currently getting some 1 on 1 mentoring to start my journey into Forex Trading and I must say my interest in trading has peaked even more since I've started. Tonight, I felt like doing some reasearch of my own as I wait for our next training session with a simple question.
When I do finally have my strategies set out and am able to analysis charts and news to get my information, what would be a good starting amount for an actual brooker account? In case it's needed, the broker I've been suggested to use is HotForex and I use SmartTrader and the HotForex Program as well as Metatrader 4 on my phone for my graphs and trades.
Any info you all have would be greatly appreciated.
Edit 5/23/20: I'm genuinely surprised by the many replies I've gotten in the past few hours. I really appreciate each and everyone you guys left me. They're all filled with such wise and interesting advice. I've made sure to take it all into account.
As for my question above, I've decided to go with $200 for my live account when I start for two main reasons. The first being that all responses have fallen between $100 - $300 and secondly, it's an amount that I am comfortably ok with lossing as I go through the process of learning.
Should anyone like to provide me with any other advice though, I'd be more than appreciative. Thank you all and I wish you all the best of luck in your own trading endevours.
submitted by donniet2 to Forex [link] [comments]

Building the right mindset

Hey guys! Most of my Forex experience I've been battling with my own head. I come from a very mathematical background and having applied my understanding of statistics, somewhat quickly arrived at strategies that could make money. The only aspect that I constantly struggled with was my psychology. Having overcome some of those problems already, I figured I'll share my personal way I learned how to keep myself in check and make sure I don't become irrational. Here's some of the realisations listed.
  1. Don't ever measure your success with money. So many people, myself included are celebrating their big trades, chasing the profits, just developing an unhealthy mindset centred around the money. It really is not the key.
I learned how to view money as a side effect of successful trading. Implementing decision based approach (instead of outcome based one), helps a lot! You can make a lot of money in a bad trade and lose a lot in a good one. Always question yourself and your strategy, when it's profitable or when it's not.
  1. After a successful trade - 'If only I had a bigger lot size on this one/if only I traded it in my live account'. Very common one, can reveal a lot of weakness. If you experience thoughts like this, or even worse if you see those kind of thoughts influence your decision - take a step back and work on your psychology. Any kind of expression like this shows greed. It's you chasing that money again, and usually this chase means you will lose it all along the way...
  2. If you do not enjoy analysing a lot of data, working with numbers, backtesting - trading is not for you. Analize the sources of your motivation when trading. Do you get mainly motivated if you see your account growing? Is the thought of getting money the main drive? Do you actually enjoy analizing graphs or just the money that will hopefully come after you do so? Many people look into Forex for a quick fix, dream job on your laptop when you're chilling on a beach somewhere. I'm sorry to burst your bubble, but it won't happen. If you don't enjoy the process of perfecting strategies, analizing tons of data, statistical analysis, you will probably never make it.
Having reread my own writing it seems like greed explains all 3 of the points I highlighted. I hope this can help some of you, the ones with the decent mindset that need that extra push and the delusional ones that will not make it and hopefully wake up sooner than later. If you are posting pictures of your profits and getting your serotonin release once you see a profitable trade - you are digging your own grave (and there's so many of you here on this subreddit).
Anyways my final advice is: if you still think you have the passion, but yet find yourself struggling with psychology - just head to algorithmic trading. I have acknowledged that my psychology is in my way and my personal way of dealing with it, was just removing it from the equation. Now I'm mostly focused on building a portfolio of trading robots and I'm healthier in my trading.
submitted by zarathustra1337 to Forex [link] [comments]

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]

[WallText] For those who really want to be forex traders.

Im sry if u find some grammatical errors, english is not my mother language. Let me know and i will fix it.
First of all, look for at least half an hour without interruptions to read this manual.
This is the system that has created trading professionals. He has done it and today he continues doing it, as it happened with me.
It is not a system written in any forum, in fact I believe that it has been the first to collect all the ideas and create a structure to follow to carry them out, but these same ideas and procedures have been the ones that the winning traders have used during decades and will continue to use, since they are based on completely objective and real foundations.
Let's go to it:
Hi all.
It is known that the observation time makes the patterns elucidate, and after some time in the forum and throughout this trading world I have found many patterns in the responses of the people, I have reasoned about them, and I have realized their failures, why they fail to be profitable.
There are people who have put effort into this. Not all, but there are people who have really read a lot, studied a lot, learned a lot and tried a lot, and even then they are not able to achieve stable profitability.
The question is: Is there enough in that effort? Is there a specific moment in the line of learning where you start to be profitable? The question is, logically.
There are traders that generate constant profitability. Hedge funds, investment firms ... and the difference is in areas where people for some reason do not want to invest time.
Why are there more messages in the strategy forums than in the psychology, journals and fundamental analysis together?
As human beings, our brain is programmed to look for quick positive responses. In nature, the brain does not understand the concept of long-term investment. There is only a short-term investment made from the difference between what we think will cost us something and what we think it will contribute. If we think that it will cost us more than it can give us, we simply do not feel motivated. It is a simple mechanism.
The market plays with these mechanisms. There are more scalpers created from the search for that positive emotion than from the search for a scalping system.
In short, we are not programmed to operate, and there lies the fact that only a huge minority of operators are profitable.
Among others, I have observed several patterns of behavior that make a trader fail, and they are:
- Search for immediate pleasure: The trader wants to feel that he has won on the one hand, and on the other he wants to avoid the feeling of loss. Following this there are many traders who place a very low take profit and a very high stop loss. This is not bad if the probabilities have been reviewed before, the mathematical factor of hope, the relation with the drawdown .. but in the majority of the cases absolutely nothing of statistics is known. There is only that need to win. They win, they win, they win, until one day the odds do their job and the stop loss is touched, returning the account to its origins or leaving it with less money than it started. This does not work.
- Search for immediate wealth: Again it is something immediate. People want good emotions, and we want them already. The vast majority of traders approach this world with fantasies of wealth, women and expensive cars, but do not visualize hard work, the sickly hard work behind all this.
From there underlie behaviors like eternally looking for new robots or expert advisors that promise a lot of money, or new systems. The type of trader that has this integrated pattern is characterized by doing nothing more than that. Spend the day looking for new strategies Of course he never manages to earn constant money.
- Think that trading is easy: Trading is not easy, it is simple. Why? Because when you get the wisdom and experience necessary to find yourself in a state of superior knowledge about the market and effectively make money, it is very simple; you just have to apply the same equation again and again. However, it is not easy to reach this equation. This equation includes variables such as risk understanding, mathematics, certain characteristics in the personality that must be assimilated little by little, intelligence, a lot of experience ..
This is not easy. This is a business, and in fact it is one of the most difficult businesses in the world. It may seem simple to see a series of candles on a screen or perhaps a line, or any type of graphic, but it is not. Behind the screen there are hundreds of thousands of very intelligent professionals, very disciplined, very educated, very ...
This business is the most profitable in the world if you know how to carry, since it is based on the concept of compound interest, but it is also one of the most difficult. And I repeat. It's a business, not a game. I think you'll never hear a lawyer say to his boss: "We're going to focus all our time on finding a strategy that ALWAYS makes us win a trial, ALWAYS." What does it sound ridiculous? It sounds to me just as ridiculous for trading.
But you are not to blame, you have been subconsciously deceived through the advertising brokers and your own internal desires, to think that this is something easy.
- Lack of discipline: Trading is not something you can do 10 minutes on Monday and 6 on Thursday. This is not a game, and until you get a regular schedule you can not start earning money. There are people who open a graph one day for 5 minutes, then return to their normal life and then one week returns to look at it for other minutes.
Trading should not be treated as a hobby. If you want to win "some money" I advise you not even to get in, because you will end up losing something or a lot of money. You have to think if you really want trading to be part of your life. It's like when you meet a girl and you want to get married. Do you really want to get into this with all the consequences? Because otherwise it will not work.
Visualize the hard work behind this. Candle nights, frustrations, several hundred dollars lost (at the beginning) .. enter the world of trading with a really deep reason, if you lose a time and money that no one will return, and both things are finite!
- Know something and pretend to know everything: Making money in the markets is not based on painting the graph as a child a paper with crayon wax and pretend to make money.
It is not based on drawing lines or circles, or squares. It is based on understanding the operation of all these tools, the background of the why of the tools of trading.
A trend line only marks the cycle of a wave within a longer time frame, within a longer time frame, and so on indefinitely. In turn, this wave is divided into waves with a specific behavior, divided into smaller waves and Etcetera, and understanding that dynamic is fundamental to winning.
It is not the fact of drawing a line. That can be done by an 8 year old boy. It is the fact of UNDERSTANDING why.
There are traders who read two technical analysis books and a delta analysis book and believe that they are professionals, but do they really understand the behavior of the market? The answer is in their portfolios.
After this explanation that only 10% will have read, I will try to detail step by step something that is 90% yearning, and that will have quickly turned the scroll of your mouse to find the solution to all your problems while supporting the beer in a book of " become rich ", rotten by lack of use.
These steps must be carried out one by one, starting with the first, fulfilling it, moving on to the second, successively and growing. If steps are taken for granted, or not fully met, it simply will not work.
I know this will happen and the person who did it will think "Bah, this does not work." and you will return to your top strategy search routine.
That said, let start:
1º Create a REAL account with 50 dollars approximately:
_ Forget the demo accounts. They are a utopia, they do not work. There is infinite liquidity, without emotions and without slipagge.
These things will change when we enter the real market, and the most experienced person in the world will notice a sharp drop in their profitability when it happens to real accounts.
And not only using a demo account has disadvantages, but using a real one has advantages.
We will have a real slipagge with real liquidity. Real requotes and more. The most important: We will work our emotions at the same time. Because yes, we will lose or win a couple of cents, but that has a subconscious impact of loss.
This means that we will begin to expand our comfort zone from the start.
Using a demo account is simply a disadvantage.
2º Buy a newspaper in the stationery or in Chinese (optional), or write one online or in Word:
A newspaper will be of GREAT help. You can not imagine, for those of you who do not have one, how a newspaper can exponentiate our learning curve. It is simply absurd not to have a diary. It's like taking a ticket of 5 instead of one of 100.
In this diary we will write down observations that we make about the operations that we will carry out in points that I will explain later of this same manual.
We will divide the newspaper into 2 parts:
  • 1 part: The operation itself. We will write the reasons for each operation. The why we have done it.
  • 2 part: How we feel. We will unburden ourselves without explaining how we feel, what our intuition tells us about that particular operation and so on.
How to use:
We will read the newspaper once a week, thinking about the emotions we felt each day and in what situations, and the reasons.
Soon, we will begin to realize that we have certain patterns in the way we feel and operate, and we will have the ability to change them.
We can also learn from mistakes that we make, and keep them always in a diary.
3º Look for a strategy that has the following characteristics:
  • Make it SIMPLE. Nothing of 4 or more indicators or the colors of the gay flag drawn on the graph based on 1000 lines. Why? Because there is always an initial enthusiasm and maybe we can follow a complex strategy for a week, but burned that motivation, saturates us and we will leave it aside.
Therefore, the strategy must be simple. If we use metatrader, the default indicators work. No macd's no-lag and similar tools. That does not lead anywhere. And if you do not believe it, I'll tell you that in all areas of life comes marketing. In addition to trading towards MMA and now I do powerlifts, and there are 1000 exercises to do. However, the classics are still working and work very well. It seems that sellers of strange sports equipment do not share the same opinion, that the only thing they want is to sell!
4º Understand the strategy:
  • We must gut each process of the strategy and reason about it. What does this indicator do? What does this process? Why this and not another? Why this exit ?. Some strategies will be based on unspecified outputs. This does not suppose any problem because as we get experience in that specific strategy, we will remember situations that have occurred, we will see situations that are repeated (patterns) and we will be able to find better starts and entrances. Everything is in our hands.
5° Collect essential statistical information:
  • This part is FUNDAMENTAL, and no operator can have as much security in itself when operating as if it uses a strategy that has at least positive mathematical hope and an acceptable drawdown.
  • Step 1: To carry out this collection of information you need to test the strategy for at least 100 signals. Yes, 100 signals.
Assuming it is an intraday strategy and we do an operation per day, it will take us 100 days (3 months and 10 days approx) to carry out the study. Logically these figures can change depending on the number of operations that we make up to date with the strategy.
I have no doubt that after reading this manual we will go for a quick strategy of scalpers, with 100 signals every 10 minutes where the seller comes out with a big smile in his promotional video.
I personally recommend a system of maximum 2 daily operations to start, but this point is personal.
Is it a long time? Go! It turns out that a college student of average intelligence takes 6 years to finish a career. It takes 6 years just to train, and there are even more races. This does not guarantee any profitability, and in any case most of Sometimes it will get a static return and not based on compound interest. I can never aspire to more.
The market offers compound profitability, there will be no bosses, nor schedules that we do not impose. We will always have work, and we can earn a lot more money than most people with careers or masters. Is it a long time? I do not think so.
As I was saying, we will test the strategy 100 times with our REAL account that we created in step 1. Did you decide to use a demo account? Better look for another manual; This has to be something serious. They are 100 dollars and will be the best investment of all in your career as a trader.
  • Step 2: Once with the report of the 100 strategies in hand, we will collect the following information:
  • How many times have we won and how many lost. Afterwards, we will find the percentage of correct answers.
  • How much have we won and how much have we lost? Afterwards, we will find the average profit and the average loss.
  • Step 3: With this information we will complete the mathematical hope formula:
(1 + average profit / average loss) * (percentage of correct answers / 100) -1
Example:
  • Of the 100 operations there are 50 winners and 50 losers, then the success rate is 50%.
  • Our average profit is 20 dollars and our average loss is 10 dollars.
Filling the formula:
(1 + 20/10) * (50/100) -1
(1 + 2) * (0,5) -1
3 * 0.5 - 1
1,5 - 1 = 0,5
In this example the mathematical expectation is 0.5. It is POSITIVE, because it is greater than 0. From 0, we will know that this strategy will make us earn money over time ALWAYS we respect the strategy.
If after a few days we modify it, then we will have to find this equation again with another 100 different operations. Easy? A result of "0" would mean that this strategy does not win or lose, but in the long run we would LOSE due to the spread and other random factors.
You have to try to find a strategy that, once this study is done, the result of your mathematical hope is greater than 0.2 as MINIMUM.
Finding this formula will also give a curious fact. The greater the take profit in relation to the stop loss, as a general rule more positive will be our mathematical hope. This has given many pages of discursiones about whether to place take profit> stop loss or vice versa.
If our stop was larger than the take profit, then the other ratio (% earned /% lost) should be yes or yes positive.
But this is just curiosities.
let's keep going:
  • 6° Expand our comfort zone:
We will not be able to work with operations of 10 million dollars overnight, but we can progressively condition ourselves to that path.
Assuming all of the above, and with a real account, some experience in the 3 months of information gathering and a positive mathematical hope, we are ready to operate in real with some consistency. But how to carry it out?
The comfort zone is the psychological limits we have before feeling fear or emotional tension. When we get into a fight, we have left our comfort zone and we feel tension, unless we have a psychopathic disorder.
Every time we lean out onto a 300-meter balcony from a skyscraper, we move away from the comfort zone. Every time we speak to a depampanante woman, we move away from our comfort zone.
Our brain creates a comfort zone to differentiate what we usually do and is not substantially dangerous, from the unknown and potentially dangerous to our survival or reproduction. And whenever the brain interprets that these two aspects are in danger, we will feel negative emotions like fear, disgust, loneliness, fury, etcetera.
This topic is much more profound and you would have to read several volumes of evolutionism to understand the why of each thing. The only thing that interests us here is the "what", and the one, that is, that there is a certain comfort zone that must be expanded without any problems.
With trading, exactly the same thing happens. The forex market is a virtual environment in which we lose or gain things, but our brain does not differentiate between reality and what is not, it only attends to stimuli of a certain type.
We can lose food in the middle of the forest or also a crude oil operation.
Our goal is to condition our subconscious so that it is progressively accepting lost and small benefits, and as time goes by, bigger.
The exercise to achieve this is the following:
  • We will operate on that account of 100 dollars with our mathematically positive strategy for 3 more months.
  • After these three months, our account should have benefits, because of the mathematically positive strategy.
  • We will enter 200 dollars more and we will operate a month more raising the lots according to our risk management (I do not advise that the risk is greater than 2%)
At this point, I know how hard it is to resign myself to impatience, but follow those times and do not skip it even if you feel safe, but you will fail, it's simple.
Let's keep going:
  • After that month, we will raise our capital again with a new income. This time we will enter 1000 dollars (save if you do not have 1000 dollars loose, you will recover later on, do you want to make money, enter 1000 dollars.
We will test the operation one month with this new injection. We probably notice difficulties. More blockages, more euphoria when winning ... how will we know when to move on to the next entry? When we do not feel ANYTHING or at most something very shallow, when win or lose If observing the wall and operating is for you the same from an emotional point of view, it is time to enter more money.
  • We will follow this procedure until we have a basic account of 21000 dollars. The amounts to be paid will depend on our ability to not feel emotions, a capacity that will be taking over time.
We will raise capital until we feel that we block too much. In that case we will drawdown to a more acceptable amount, and we will continue at that level until get discipline and lack of reactivity at that level. Later, we will go up.
  • If we want to earn more money, we will continue entering and entering. Always following the conditioning scheme of 1 month.
Why a month?
A study conducted in the United States revealed that the subconscious needs an average of 28 days to create new habits or eliminate old habits. Emotional reactions are part of the habits. If we maintain some pressure of any emotion during the opportune time, in this case 28 days, will create tolerance and the subconscious will need a more intense version of the stimulus to activate.
AND THAT'S ALL!
Follow these steps and you will triumph. Here is the golden chalice, the tomb of Jesus or whatever you want to call it. There is no more mystery in the world of trading. This system will accompany you during the next year, year and a half. It's the one I used and it WORKS. Once done, you will have a very profitable system integrated into your being, since not only will it be mathematically viable, but you will also have the necessary experience to make it infinitely more profitable yet.
In addition, you will have psychology fully worked on a professional level to have conditioned your subconscious gradually.
Happy trading to all of u guys.-
submitted by Harry-Postre to Forex [link] [comments]

Elaborating on Datadash's 50k BTC Prediction: Why We Endorse the Call

As originally published via CoinLive
I am the Co-Founder at CoinLive. Prior to founding Coinlive.io, my area of expertise was inter-market analysis. I came across Datadash 50k BTC prediction this week, and I must take my hats off to what I believe is an excellent interpretation of the inter-connectivity of various markets.
At your own convenience, you can find a sample of Intermarket analysis I've written in the past before immersing myself into cryptos full-time.
Gold inter-market: 'Out of sync' with VIX, takes lead from USD/JPY
USD/JPY inter-market: Watch divergence US-Japan yield spread
EUUSD intermarket: US yields collapse amid supply environment
Inter-market analysis: Risk back in vogue, but for how long?
USD/JPY intermarket: Bulls need higher adj in 10-y US-JP spread
The purpose of this article is to dive deeper into the factors Datadash presents in his video and how they can help us draw certain conclusions about the potential flows of capital into crypto markets and the need that will exist for a BTC ETF.
Before I do so, as a brief explainer, let's touch on what exactly Intermarket analysis refers to:
Intermarket analysis is the global interconnectivity between equities, bonds, currencies, commodities, and any other asset class; Global markets are an ever-evolving discounting and constant valuation mechanism and by studying their interconnectivity, we are much better positioned to explain and elaborate on why certain moves occur, future directions and gain insights on potential misalignments that the market may not have picked up on yet or might be ignoring/manipulating.
While such interconnectivity has proven to be quite limiting when it comes to the value one can extract from analyzing traditional financial assets and the crypto market, Datadash has eloquently been able to build a hypothesis, which as an Intermarket analyst, I consider very valid, and that matches up my own views. Nicolas Merten constructs a scenario which leads him to believe that a Bitcoin ETF is coming. Let's explore this hypothesis.
I will attempt to summarize and provide further clarity on why the current events in traditional asset classes, as described by Datadash, will inevitably result in a Bitcoin ETF. Make no mistake, Datadash's call for Bitcoin at 50k by the end of 2018 will be well justified once a BTC ETF is approved. While the timing is the most challenging part t get right, the end result won't vary.
If one wishes to learn more about my personal views on why a BTC ETF is such a big deal, I encourage you to read my article from late March this year.
Don't Be Misled by Low Liquidity/Volume - Fundamentals Never Stronger
The first point Nicholas Merten makes is that despite depressed volume levels, the fundamentals are very sound. That, I must say, is a point I couldn't agree more. In fact, I recently wrote an article titled The Paradox: Bitcoin Keeps Selling as Intrinsic Value Set to Explode where I state "the latest developments in Bitcoin's technology makes it paradoxically an ever increasingly interesting investment proposition the cheaper it gets."
However, no article better defines where we stand in terms of fundamentals than the one I wrote back on May 15th titled Find Out Why Institutions Will Flood the Bitcoin Market, where I look at the ever-growing list of evidence that shows why a new type of investors, the institutional ones, looks set to enter the market in mass.
Nicholas believes that based on the supply of Bitcoin, the market capitalization can reach about $800b. He makes a case that with the fundamentals in bitcoin much stronger, it wouldn't be that hard to envision the market cap more than double from its most recent all-time high of more than $300b.
Interest Rates Set to Rise Further
First of all, one of the most immediate implications of higher rates is the increased difficulty to bear the costs by borrowers, which leads Nicholas to believe that banks the likes of Deutsche Bank will face a tough environment going forward. The CEO of the giant German lender has actually warned that second-quarter results would reflect a “revenue environment [that] remains challenging."
Nicholas refers to the historical chart of Eurodollar LIBOR rates as illustrated below to strengthen the case that interest rates are set to follow an upward trajectory in the years to come as Central Banks continue to normalize monetary policies after a decade since the global financial crisis. I'd say, that is a correct assumption, although one must take into account the Italian crisis to be aware that a delay in higher European rates is a real possibility now.
![](https://coinlive.io/ckeditor_assets/pictures/947/content_2018-05-30_1100.png)
Let's look at the following combinations: Fed Fund Rate Contract (green), German 2-year bond yields (black) and Italy's 10-year bond yield (blue) to help us clarify what's the outlook for interest rates both in Europe and the United States in the foreseeable future. The chart suggests that while the Federal Reserve remains on track to keep increasing interest rates at a gradual pace, there has been a sudden change in the outlook for European rates in the short-end of the curve.
While the European Central Bank is no longer endorsing proactive policies as part of its long-standing QE narrative, President Mario Draghi is still not ready to communicate an exit strategy to its unconventional stimulus program due to protectionism threats in the euro-area, with Italy the latest nightmare episode.
Until such major step is taken in the form of a formal QE conclusion, interest rates in the European Union will remain depressed; the latest drastic spike in Italy's benchmark bond yield to default levels is pre-emptive of lower rates for longer, an environment that on one hand may benefit the likes of Deutsche Bank on lower borrowing costs, but on the other hand, sets in motion a bigger headache as risk aversion is set to dominate financial markets, which leads to worse financial consequences such as loss of confidence and hence in equity valuations.
![](https://coinlive.io/ckeditor_assets/pictures/948/content_2018-05-30_1113.png)
Deutsche Bank - End of the Road?
Nicholas argues that as part of the re-restructuring process in Deutsche Bank, they will be facing a much more challenging environment as lending becomes more difficult on higher interest rates. At CoinLive, we still believe this to be a logical scenario to expect, even if a delay happens as the ECB tries to deal with the Italian political crisis which once again raises the question of whether or not Italy should be part of the EU. Reference to an article by Zerohedge is given, where it states:
"One day after the WSJ reported that the biggest German bank is set to "decimate" its workforce, firing 10,000 workers or one in ten, this morning Deutsche Bank confirmed plans to cut thousands of jobs as part of new CEO Christian Sewing's restructuring and cost-cutting effort. The German bank said its headcount would fall “well below” 90,000, from just over 97,000. But the biggest gut punch to employee morale is that the bank would reduce headcount in its equities sales and trading business by about 25%."
There is an undeniably ongoing phenomenon of a migration in job positions from traditional financial markets into blockchain, which as we have reported in the past, it appears to be a logical and rational step to be taken, especially in light of the new revenue streams the blockchain sector has to offer. Proof of that is the fact that Binance, a crypto exchange with around 200 employees and less than 1 year of operations has overcome Deutsche Bank, in total profits. What this communicates is that the opportunities to grow an institution’s revenue stream are formidable once they decide to integrate cryptocurrencies into their business models.
One can find an illustration of Deutsche Bank's free-fall in prices below:
![](https://coinlive.io/ckeditor_assets/pictures/946/content_2018-05-30_1052.png)
Nicholas takes notes of a chart in which one can clearly notice a worrying trend for Italian debt. "Just about every other major investor type has become a net seller (to the ECB) or a non-buyer of BTPs over the last couple of years. Said differently, for well over a year, the only marginal buyer of Italian bonds has been the ECB!", the team of Economists at Citi explained. One can find the article via ZeroHedge here.
![](https://coinlive.io/ckeditor_assets/pictures/953/content_2018-05-30_1451.png)
Equities & Housing to Suffer the Consequences
Nicholas notes that trillions of dollars need to exit these artificially-inflated equity markets. He even mentions a legendary investor such as George Soros, who has recently warned that the world could be on the brink of another devastating financial crisis, on lingering debt concerns in Europe and a strengthening US dollar, as a destabilizing factor for both the US's emerging- and developed-market rivals.
Ray Dalio, another legend in the investing world and Founder of Bridgewater Associates, the world’s largest hedge fund, "has ramped up its short positions in European equities in recent weeks, bringing their total value to an estimated $22 billion", MarketWatch reports.
Nicholas extracts a chart by John Del Vecchio at lmtr.com where it illustrates the ratio between stocks and commodities at the lowest in over 50 years.
As the author states:
"I like to look for extremes in the markets. Extremes often pinpoint areas where returns can be higher and risk lower than in other time periods. Take the relationship between commodities and stocks. The chart below shows that commodities haven not been cheaper than stocks in a generation. We often hear this time it is different” to justify what’s going on in the world. But, one thing that never changes is human nature. People push markets to extremes. Then they revert. "
![](https://coinlive.io/ckeditor_assets/pictures/954/content_2018-05-30_1459.png)
Bitcoin ETF the Holy Grail for a Cyclical Multi-Year Bull Run
It is precisely from this last chart above that leads Nicholas to believe we are on the verge of a resurgence in commodity prices. Not only that but amid the need of all this capital to exit stocks and to a certain extent risky bonds (Italian), a new commodity-based digital currency ETF based on Bitcoin will emerge in 2018.
The author of Datadash highlights the consideration to launching a Bitcoin ETF by the SEC. At CoinLive, our reporting of the subject can be found below:
"Back in April, it was reported that the US Securities and Exchange Commission (SEC) has put back on the table two Bitcoin ETF proposals, according to public documents. The agency is under formal proceedings to approve a rule change that would allow NYSE Arca to list two exchange-traded funds (ETFs) proposed by fund provider ProShares. The introduction of an ETF would make Bitcoin available to a much wider share of market participants, with the ability to directly buy the asset at the click of a button, essentially simplifying the current complexity that involves having to deal with all the cumbersome steps currently in place."
Nicholas refers to the support the Bitcoin ETF has been receiving by the Cboe president Chris Concannon, which is a major positive development. CoinLive reported on the story back in late March, noting that "a Bitcoin ETF will without a doubt open the floodgates to an enormous tsunami of fresh capital entering the space, which based on the latest hints by Concannon, the willingness to keep pushing for it remains unabated as the evolution of digital assets keeps its course."
It has been for quite some time CoinLive's conviction, now supported by no other than Nicholas Merten from Datadash, that over the next 6 months, markets will start factoring in the event of the year, that is, the approval of a Bitcoin ETF that will serve as a alternative vehicle to accommodate the massive flows of capital leaving some of the traditional asset classes. As Nicholas suggests, the SEC will have little choice but to provide alternative investments.
Bitcoin as a Hedge to Lower Portfolios' Volatility
Last but not least, crypto assets such as Bitcoin and the likes have an almost non-existent correlation to other traditional assets such as stocks, bonds, and commodities, which makes for a very attractive and broadly-applicable diversification strategy for the professional money as it reduces one’s portfolio volatility. The moment a Bitcoin ETF is confirmed, expect the non-correlation element of Bitcoin as a major driving force to attract further capital.
Anyone Can Be Wrong Datadash, But You Won't be Wrong Alone
Having analyzed the hypothesis by Nicholas Merten, at CoinLive we believe that the conclusion reached, that is, the creation of a Bitcoin ETF that will provide shelter to a tsunami of capital motivated by the diversification and store of value appeal of Bitcoin, is the next logical step. As per the timing of it, we also anticipate, as Nicholas notes, that it will most likely be subject to the price action in traditional assets. Should equities and credit markets hold steady, it may result in a potential delay, whereas disruption in the capital market may see the need for a BTC ETF accelerate. Either scenario, we will conclude with a quote we wrote back in March.
"It appears as though an ETF on Bitcoin is moving from a state of "If" to "When."
Datadash is certainly not alone on his 50k call. BitMEX CEO Arthur Hayes appears to think along the same line.
On behalf of the CoinLive Team, we want to thank Nicholas Merten at Datadash for such enlightening insights.
submitted by Ivo333 to BitcoinMarkets [link] [comments]

Beginner's Guide to Trading Crypto. Part 5

Beginner's Guide to Trading Crypto. Part 5

Talk The Trader Talk: A Journey Into The Realm Of Trader Slang

Slang is a natural evolution of a language under working conditions. Every industry has its own slang vocabulary, which may or may not be composed of morphologies of words directly related to the job. Sometimes situations related to the job may evolve or devolve into adjectives, verbs, nouns of even completely new words that reflect the object in question. To the uninitiated, such terms may sound like gibberish and could well resemble the talk of thugs that has been so vividly presented many times over in television series and movies.
Whether it is pidgin, slang, argot, or a dialect, industries have their own ways of expressing their ins and outs. For instance, the exhaust system of automobiles is often called the "puffer" among mechanics, a "fat finger" is a larger than intended trade among bankers, a "gat" is a weapon among street gangs, and "all day" is a life sentence among prisoners. The lists of slang terms are endless and are an extremely interesting read.
https://preview.redd.it/704sgly6nfz31.png?width=820&format=png&auto=webp&s=9d7fe3b1ef36869834dbf284ea0fcb4a7caee720

The Trader Lingo

To make sure that MoonTrader users get into the feel of what it is like to be part of the crypto market, we have compiled a comprehensive summary of some of the most widespread slang terms used by traders. Knowing these terms is an important part of working on an exchange, as understanding what traders are talking about is half the job of becoming one of them and being able to delve into the processes taking place. To talk the talk and walk the walk, traders must understand each other and, most importantly, shorten their speech into a mixture of phrases comprehensible only for the initiated and mystical to outsiders.
Babysitting: A slang term used by traders all over the world from Wall Street to the most obscure exchanges in Africa. The term means holding a trade that has been losing out for a while in hopes that it will gain in price, usually in vain. For example: “You’ve been babysitting that option for way too long, it’s a hopeless cause.”
Crunching: A situation in which a stock’s or asset’s price starts falling rapidly and has no support levels. For example: “The XXX stock is going down the drain. It’s crunching, leave it!”
Jig Out: This is a situation when the market makes a sudden turn for the worse and an investor or trader loses out as a result. For example: “The YYY stock jigged out on me today. Lost half a mil.”
Learning Curve: A fairy common expression meaning the amount of time and effort someone, such as a budding new trader, has to put into something to master the art and “learn the ropes”. For example: “The learning curve for Forex is pretty steep.”
Melt: Another fairly common expression that can be encountered in the world of finance, which signifies that a lot of money has been lost and an account has been depleted. For example: “My account melted through today after the market jigged me out on that nut.”
Nut: While nuts may be tasty as a snack or very useful for keeping things bound together with bolts, in trading a nut is the total amount of commissions that have to be paid for a certain trade. For example: “The nut on ZZZ is crazy these days.”
Permabull / Permabear: Since bullish markets are positive and bearish markets are sleepy, the traders working on such a market are called bulls or bears. There are some optimists who believe that such markets are always there. These traders are called permabulls. The opposite are permabears. For example: “Even if the market is dead and floating, he will still act like a permabull”.
https://preview.redd.it/rj90k43enfz31.jpg?width=680&format=pjpg&auto=webp&s=86c9c63f1484cc49f683ae12159d03429f465341
Printing on the “O”: If we consider that O is an extreme abbreviation of the term “Override”, then the phrase means that the price of an asset is below the bid price and there is an urgent need to sell it. “XYZ is printing on the Os all day!”
ScalpeScalping: The idea of scalping is opening hundreds and thousands of small trades in a short amount of time in hopes of generating a large amount of small profits. Scalpers are traders who engage in scalping. For example: “He’s a heck of a scalper.”
Slippage: A common situation for inexperienced traders who lose on assets that are insoluble and cause losses due to higher or lower prices. For example: “He’s been slipping on ZZZ for three weeks in a row.”
Squiggly Lines: Technical analysis consists of graphs and indicators that traders use to make sense of market dynamics. The lines on graphs are never straight, which would mean that the market is comatose, thus they are called squiggly, or uneven lines. For example: “I’ve been staring at the squiggly lines all day and my eyes are popping out.”
Tank: A tank is not only a military machine or a container, but also a verb, which could either mean to fill something up, like a container or a stomach, and also a drop. In this case, tanking means a market collapse. For example: “The market’s tanking! All is lost! All is lost!”
Unicorn, Vulture, Whale: The trading terminology bestiary is full of terms that have gained animalistic form. A unicorn is a situation reminiscent of the mythical beast, when a startup has reached a $1 billion valuation. A vulture is a trader who preys on falling assets and buys them up in hopes that they will rise in the future. A whale is a holder of a large amount of capital or an asset.
https://preview.redd.it/gj479zvhnfz31.png?width=700&format=png&auto=webp&s=e89c8bc881323f531661b2f7f355a470607765f1
Stick: The US dollar has a lot of synonyms from bucks and dough to aces and greenbacks. The stick is another synonym for the US currency used in trading. For example: “Made a K load of sticks today trading XYZ.”
Whack: A fairy straightforward term meaning that a trader has lost a fair amount of money. For example: “I got whacked trading ZZZ the other day.”
Bottom Fishing: There are traders and there are speculators. When a market has “tanked”, assets usually cost much lower and a certain breed of traders emerges who start buying up assets that have lost in value in hopes of selling them off at higher prices later. Such actions are called bottom fishing, or scooping up assets that have floated to the surface of a market like dead fish after a bomb goes off underwater. For example: “The market has sunk today and the sharks are bottom fishing.”
Choppiness: The market is never a calm place and its trials and tribulations are often compared to storms and waves. Since waves can be choppy, or rough in terms of the height of their crests, it is fair to compare market volatility to wavy seas. For example: “The choppiness of the market is not allowing institutional investors to enter with their capital.”
Dark Pools: There is always liquidity on the market that is hid away from average traders. Such liquidity is called a dark pool, which is usually in the hands of special groups. In essence, these are trading volumes created by orders placed by institutional investors. For example: “The dark pools are buying up Bitcoins real quick.”
Dead Cat Bounce or Rubber Band Effect: Since markets are unpredictable, it is often possible for markets to suddenly rebound after seeming dead for a long time. Such a situation is called a dead cat bounce, or a rubber band effect, which is quite figurative in itself. For example: “The market is preparing for a possible dead cat bounce after the recent wave of news.”
Hodl: A bastardization of the term Hold, misspelled by a drunk BitcoinTalk user, which simply means holding an asset in hopes that it will rise in price. For example: “Hodl Bitcoin! Hodl it!”
Short squeeze: There are situations when an asset suddenly rises in price and forces traders to close their positions. For example: “The holders were forced to short squeeze after the price of ZZZ suddenly spiked”.
Resistance Zone: In technical analysis, this is the area between the current support and resistance areas. Prices usually start resisting other prices in such areas and may start falling. For example: “The resistance area of $120 has been reached for ZZZ and we can expect a decline to areas of $100.”

Fallen Angel: Assets that may have reached price heaven are not guaranteed to stay there and it often happens that a highly valued asset has suddenly lost in price. Usually, this biblical analogy refers to high yielding bonds that once had investment grades. For example: “ZZZ has turned into a fallen angel after the US introduced sanctions against country YYY.”
Fat Tail: In statistics, such cases are called outliers and signify that a value has moved away from the mean and has gained a high degree of riskiness. For example: “ZZZ is showing fat tails and will soon reach non-investment levels.”
Flavor: Given the abundance of types of orders and assets on the market, traders often do not distinguish between them and simply call them different flavors. For example: “How about some ZZZ flavor?”
Hit The Bid: A rather straightforward expression meaning that someone has decided to sell an asset. For example: “The price just hit the low, so go and hit the bid”.
Odd Lot: A lot is usually considered to be a million dollars. An odd lot is anything under a million dollars. For example: “I sold that odd lot of ZZZ yesterday.”
Smoke And Mirrors: The poetic expression has made its way onto the market and means that a corporate entity is distorting the market image in hopes of attaining its own goals, usually to make an asset seem more attractive. For example: “The market is all smoke and mirrors after ZZZ flushed its stocks on.”
The list of trading slang terms is endless in its variety and the only way to fully immerse one’s self into it is trading actively and gaining experience. Years of work on any market in any industry will eventually saturate a participant’s mind with the necessary skills and terminology turn any greenhorn into a pro.
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Originally posted on our blog.
submitted by MoonTrader_io to Moontrader_official [link] [comments]

Help me to improve my strategic.

So I tried Forex ( 2016-2017 ) in the past but lost all the funds. Then I realise that I was not ready for Forex and all I was doing was betting and donating money to the market.
I decided to focus on saving and holding cryptocurrencies. It was a good choice because trade skills were not needed for holding.
I have around 20.000$ save up. Which is not bad for 19 years old guy.
While I was holding cryptocurrencies I was studying more deeper Forex and playing with other profesional traders. I was learning about Forex but more passive.
I started trading my demo account after I took important knowledge about Forex and the lessons from cryptocurrencies. Also I developed more emotional strength ( I was getting use to lose -20% of my investment in one day with cryptocurrencies and not pressing the bottom of “SELL!! “.
My strategic on demo is simple using the RSI ( Relative Strength Index ) to look for enter points. Time in the chart 4h and 1d. I don’t open more than 5 trades per week. I don’t use more indicators and I only trade EUUSD for the moment. I don’t look much at the graph but I focus on the IRS level and current price ( Except in bearish movement )
My question is : Which indicator can I use to look for possible get out moments ? Should I really use more indicators? I feel like using more indicators can made my analysis more confusing.
submitted by jcabezas22 to Forex [link] [comments]

Crypto exchange trade. Remember psychology!

https://medium.com/@sergiygolubyev/crypto-exchange-trade-remember-psychology-6d4433569d9d
Crypto Exchange is a high-tech platform in which all trade transactions are conducted using modern software created based on the latest IT solutions. The emergence of new types of currencies, in particular cryptocurrencies, gives a chance for the rapid development of the world economy as a whole. In turn, structural changes in the international economic system gave impetus to the emergence and development of new types of exchange technologies. Thus, crypto exchanges appeared which allowed its participants anywhere in the world to buy, sell and exchange one cryptocurrency for others, or for fiat of other countries. Each crypto exchange tries to offer customers convenient ways to convert financial instruments, and provides the ability to conduct transactions on its own terms. The high rates of development and distribution of cryptocurrencies, which are based on Blockchain, as well as the gradual wide recognition by the world community and leading economists, ensure the further improvement of exchange technologies. This means that in an effort to provide the most comfortable conditions for its customers, each crypto exchange will take them to an ever-higher quality level of service with innovative nuances. But at the same time, within the framework of the technological process of stock trading, which is available to users (from professional traders to amateurs), the question of psychology and its role in the decision making has not been canceled. Successful trading depends on 70% primarily on the psychology of a trader and only 30% on the trading scheme/strategy.
Trading on the exchange, it is necessary to develop discipline, self-control and be able to respond quickly to changing stock charts. All this will allow you to earn and minimize your losses more effectively. Everyone should remember, from the amateur to the professional, that in the financial markets you can not only earn money, but also lose money. Cryptocurrency rates are still subject to political and regulatory influences; their value is influenced by the reputation of the company's founders, informational insertions about blockchain projects and plans for their further development, scandals and disclosures. Nevertheless, there are simple rules for successful trading from the field of psychology, which will reduce the risks when trying to make money on cryptocurrency and not only. There are a number of problems that always hinder every beginner - amateur:
· Excitement
· Fear
· Greed
· Unwillingness to learn new things
· Imaginary visualization of results
All these problems have psychological aspects. Emotions, feelings and desires significantly influence the trading decisions made by the trader. This happens all the time, not only on traditional exchanges, but also in the cryptocurrency sphere as well. Excitement is an emotional state when it seems to a person that he is lucky, and as the series of successful transactions continues, he performs larger by volume financial transactions. Often, the excitement motivates to turn away from long-term transactions and trends, and look towards short-term operations. After all, it seems that the more often you successfully complete operations, the more capital you earn. Not at all! The more often you make mistakes, leading to a default on your account. Money only is earned on long-term trends and operations. Traders are often worried, fearing an unsuccessful deal closing.
Of course, a loss is bad, but sometimes it is better to close a position in minus than to lose a large amount only because of the hope of a quick price reversal. Therefore, fear often pushes for the wrong strategic decisions. Fear of loss as a result becomes a sentence for your positioning in profit. On the same face with fear, if not strange, is the factor of greed. Having essentially a different source of inspiration, greed, like fear, leads to a generally pitiable result — to the default of your trading account. The reluctance to learn new strategies, technologies, and denial of forecasting also leads to failure. Successful is who always strives to learn new things, and perceives the fact and necessity of continuous learning. Since learning is a process of striving for the progress of its results and professional qualities. Another scourge - Wish list or visualization. Everyone wants to see the price move in the right direction. This is pretty dangerous. By visualizing the price jump in the right direction, you can dream and invest too much in cryptocurrency. This will lead to losses. Here you should always remember to diversify your investments. Remember your psychological portrait even when you program your trading strategies, algorithms and bots. After all, your algorithm is essentially your psychological portrait. Finally, the above-mentioned flaws, especially in the strategy can dominate and damage your deposit and reputation. The main signs of competent crypto-trade are the same as on other exchanges (such as FOREX). This is a kind of algorithm for a sustainable profit strategy:
· Risk no more than 10% of the deposit
· Use risk per trade of 5% or less
· Do not close profitable deals too early
· Do not accumulate losing trades
· Fix quick speculative profit
· Respect the trend
· Pay more attention to liquid assets (cryptocurrency)
· Set your personal entry and exit rules for trades and stick to them
· Long-term trading strategy gives you maximum steady profits
· Do not use the principles of Martingale tactics if there is no experience. You cannot double the volume of the transaction, if it closed in the red zone. If a loss was incurred, then the cryptocurrency market situation was predicted incorrectly and it was necessary to work on improving the analytical skills, and not to conclude a larger deal, which probably also closes in the negative
It is obvious that the psychology of trading significantly affects the performance of stock speculation both in the traditional market and in the field of cryptocurrency. It is important to remember that the success of a person in any field of activity depends on the emotional component, namely the internal balance. Exchange trading is a nervous activity, and if you do not learn to take emotions under control, the results can be disastrous. The basis for achieving success in stock trading, in my opinion, are two fundamental factors. The first factor relates to the field of formulation of the trading idea, and the second - to the area of ​​its implementation.
To formulate a trading idea, on the one hand, methods of technical and fundamental analysis are used to select an exchange instrument and determine the moment of opening and closing a position on it. On the other hand, capital management methods are used to determine the optimal size of the position being opened. As you know, without these two crucial moments it is impossible to achieve stable success in stock trading. As experience shows, for the most part, people have enough intelligence to master all the necessary theoretical knowledge of technical and fundamental analysis in a few months of intensive training. There are no special intellectual difficulties. But, as the same experience shows, this is clearly not enough for successful exchange trading, since all knowledge may turn out to be a useless load if the second success factor is not sufficiently present - the practical implementation of trading ideas, which is no longer based on the intellectual sphere, and psycho-emotional. It is within this area that the main problem arises for many traders, which prevents the receipt of stable profits. As a rule, this is due to the psycho-emotional profile of a person. It depends on how the trader will behave in the psychologically stressful situations that the exchange trading is full of. Inherent in all human emotions and feelings - fear, greed, excitement, envy, hope, etc. very often have a decisive influence on the behavior of traders, not allowing them to follow strictly the trading strategy and plan, even if they have one. From a psychological point of view, the process of stock exchange activity can be divided into stages, after which the trader can return to the starting point. The above scenarios and risk factors are one of the options for the behavior of an exchange speculator; however, it often happens exactly the opposite. Having suffered losses from his first transactions in the market, the trader loses interest in exchange trading, he gives up and he falls into despair. In this case, the first step to victory is the admission of defeat. It would seem silly and ridiculous, but it works. After that, there are two options: either the trader leaves the exchange forever, or returns to the battlefield. Such “returns” may occur more than once. In addition, at some other time, after repeated analysis of his actions, mistakes made and their consequences, a person from a beginner begins to turn into an experienced trader, which is marked by the stability of his activity and, perhaps, by slow, but surely growth of his deposit and profit. The psychological basis for success in trading, which leads to victory and the absence of which is equivalent to defeat, are as follows:
· It is not only the lack of self-control, discipline and focus on the process that causes the defeat
· Self-control, discipline and ability to concentrate is not enough to achieve success
· To achieve success, it is equally important to be able to adapt to changes
In principle, one can consider the idea that traditional approaches to the psychology of trading are limited. In the majority of benefits for traders, the key qualities necessary for successful exchange trading are only self-control and discipline. Of course, these qualities are necessary in any field of business activities. Trading is not an exception, especially considering that it is in the risk zone. But self-control and discipline are not enough to achieve success. Trading is a business. Moreover, any business does not stand still. You cannot find a formula for success and use it forever. You will need to monitor trends and constantly look for new successful solutions.
The main feature of a successful trader is adaptability to changes. The lack of development leads to defeat, large monetary losses. Many technology companies continued to produce stationary computers when laptops became popular. The same companies continued to produce laptops when tablets appeared and became popular. The products of these companies were of high quality, and their employees organized pre-set tasks in an organized manner. But they lost large sums due to the fact that they could not adapt to changes in demand. If we draw a parallel with the sphere of investment, the similarities will become noticeable. The stock market, like any other subject to change. One period is replaced by another. Those methods that allowed achieving success in the previous period can lead to failure in the current. The key concept in stock trading is volatility. The change in this indicates the onset of a new period. When volatility increases, trade becomes more risky. Accordingly, with a decrease in this indicator, the degree of risk during trading operations decreases. With a high level of volatility, trends most often unfold. Strong and weak positions can be swapped out. With a high level of volatility, trends continue for some time. From the foregoing, it should be concluded that market processes and methods during periods of high and low volatility differ strongly. You cannot use the same methods during changing market trends. Often it is the adherence to the previous methods, excessive discipline leads to collapse as well. The fact that the investor was defeated does not mean that he suddenly became morally unstable, unorganized. Trading is trading.
Therefore, we have every right to assert that under the psychology of trade in the markets is meant human preparedness for the risks that inevitably accompany any activity. Trading on the stock exchange is based on the interaction of the three most important components: capital management, analysis, and the psychology of trading (which cannot be considered in conjunction with the other aspects of trading). The psychology of human behavior is a source for understanding what is happening in financial markets. The source for understanding the events occurring in the financial markets and the behavior of traders during exchange trading is the psychology of the human person. Emotions — greed, fear, doubt, hope, a sense of self-preservation — are peculiar to any person in life — are clearly manifested in the hard rhythm of decision-making during the dynamic course of exchange trading (which was partially considered above). Knowledge of the human psychology and their behavioral characteristics must be used to achieve success. The psychology of a trader is formed from a multitude of grains - it is a belief in what one does in the stock market, in one’s actions, in own system of one’s decisions, in trading method. In addition, the psychology of a trader is that one can unload oneself emotionally, one does not accept the intellectual challenge that the stock market carries. On the contrary, becomes restrained, calm when making decisions on operations in the stock market. There are many situations where a trader expresses his attention and focus; he does not disperse it on the tracking of news factors or on the receipt of stimuli from the news agencies. Consequently, the crowd psychology is the factor that makes prices move, therefore, in addition to assessing one's own psychological state, one must be sensitive to changes in the mood of other market participants, move in the flow, not against it, and then success will not take long.
Of course, you can argue that why do I need this psychology? After all, besides creating your own strategies and individual work, some exchanges (including crypto exchanges) allow minimizing risks by following the strategies of experienced traders; this service is called a PAMM account. PAMM provides an opportunity for clients (Subscribers) to follow the trading strategy of experienced and professional traders (Providers). Provider's trading results are publicly available. With the help of the rating of accounts, graphs of profitability and reviews of other traders, you can choose the most suitable Provider and begin to follow his strategy. Again, in this case, the provider is a human with all the ensuing consequences. And psychological aspects are not foreign to professionals as well, including victories and mistakes. The financial market attracts people the possibility of obtaining independence, including financial. A successful trader can live and work in any country in the world without having either a boss or subordinates. The motivation of people on the exchanges can be different: from getting a higher percentage than from a bank to making several thousand dollars a day. At the same time, there are two main categories of people in the financial market (including cryptocurrencies): investors who acquire assets or currency for a relatively long period, and speculators who profit from changes in the prices of certain assets for short periods. Many believe, an easy way to make money is not for everybody. First, the skillful use and manipulation of the psychological aspects of a human make it possible to become a speculator. And this, of course, in addition to knowledge and analytical skills. Experience shows that successful speculation is the right state of mind. It would seem that this is the simplest thing that can be acquired by human. But in fact, this self-tuning is available to very few. It is also necessary to distinguish the psychology of the market and the personal psychology of the trader. The behavior of the market as a whole depends on people, since it is the stock market crowd that determines its direction. However, quite often traders lose sight of the most important component of victory - managing their personal emotions, that is, their psychology. Without control over oneself, there can be no control over one’s trading capital. If a trader is not tuned to the trend range of the stock crowd, if he does not pay attention to changes in her psychology, then he will also not achieve significant success in trading. To succeed on the exchange, one needs to take a sober look at exchange trading, recognize its trends and their changes, and not waste time on dreams or lamenting about failures.
Any price of a financial instrument is a momentary agreement on its value, reached by a market crowd and expressed in the fact of a transaction, i.e. it is the equilibrium point between the players for a rise and a fall, or the "equilibrium" price. Crowds of traders create asset prices: buyers, sellers and fluctuating market watchers. Charts of prices and trading volumes reflect the psychology of the exchange. In addition, this is always worth remembering! After all, the main purpose of the presence of the analysis of psychology in stock trading is not the quantity, but the quality of transactions. A person striving to become a good trader needs to remember the words of DiNapoli, a well-known stock exchange trader: “The most important trading tool is not a computer, not a service for supplying information, or even methods developed by a trader. It is he himself! If a trader is not suitable for this - he should not trade at all”! Therefore, before pushing orders on the trading platform, think about whether you are suitable for this role.
Join chat — https://t.me/joinchat/AAAAAE84vCXg5PK-VpHADg
Sergiy Golubyev (Сергей Голубев)
EU structural funds, ICO projects, NGO & investment projects, project management, comprehensive support of business
submitted by Golubyev_Sergiy to u/Golubyev_Sergiy [link] [comments]

Learn stock trading with Fitzstock Charts, LLC

Fitzstock Charts, LLC, the trading site for serious traders offers “Learn Stock Trade” training online. This training program is designed to coach individual investors on the basics of stock trading.
Stock trading is something that you can try to make a great deal of money. If you have invested any amount of time searching for helpful resources, you have probably discovered that many of them are rather very expensive. Finding out how to successfully understand Stock Trading Charts and trade is accessible to everyone. A great number of traders do not think about it that trading is an occupation that simply like any other occupation requires quality coaching and learning.
“I love your work and have learned a lot while making money!!! I am a swing long trader with an equity portfolio. I look at your ideas for swing trades or long equity positions (nothing like starting with some momentum). Also I have more of a value orientation, and it was hard to analyze stocks that seemed high to me. Your methodology gives me a way to think about stocks that have momentum.” – John
There is no better, quicker and more productive way to learn how to trade stock markets than having a trade coach at your side. The How to read stock charts training available from Fitzstock Charts consists of various training lessons concentrating on essential information required to trade the Forex market. As a learner you will be able to:
About Fitzstock Charts, LLC
Fitzstock Charts, LLC is an online gateway encouraging traders to have good results and achieve trading goals through its various success programs. David Patrick, founder of Fitzstock, has traded bond futures, equities and options for over 2 decades. David graduated from The Ohio State University and started his own business career as a Trust Tax Accountant for National City Bank.
For questions regarding Fitzstock Stock Trading Analysis and Charts Premium Service please drop an email at [email protected].
For more information about Best stock charts, please visit https://fitzstock.com/.
submitted by fitzstock to u/fitzstock [link] [comments]

The first crypto-broker. What do you think about it?

Larson&Holz, an international group of companies, presented its innovative project – crypto-broker LH-Crypto, – at the Annual Business Congress in Moscow.
It seems that the event planners of the Annual Business Congress with Mikhail Hazin have tried to boil the ocean. The number of topics for discussion and their profundity were astounding. It was hard to believe that three days would be enough to speculate on: world’s major currencies prospects, US economy future, enlarging business profits in the times of crisis, sensible investment tactics, the phenomenon of cryptocurrencies which is gaining more and more popularity nowadays, etc.
However, when Mikhail Hazin and Jan Art, the famous experts, come on the stage, any trickiest challenge seems not that unsolvable at all.
One of the leading economists (macroeconomists) of Russia in his characteristic vivid manner gave a not-so-bright forecast for the American and global economy and prophesied for the forthcoming reshaping of economic models; he also stated the urging need to seek and implement new ideas.
“The global economy cannot survive on the same principles which have been raising it up for the past forty years. Giving people money and hoping for the respective increase in demand is a no go anymore. The developed countries’ population is so deep in depth that some households in the USA cannot cater their credits, not speaking about closing them. The average spending capacity of the US population is on the 1958 level.” said Mr. Hazin. This brings us to a question: what would the management system be after the fundamental changes? According to the economist, there already is an answer: cryptocurrencies. They owe their existence and popularity to the fact that for the past decades the financial system has been coming apart at the seams and the information on the real state of events is more available to people.
Vladimir Kuzovlev, Larson&Holz expert, has supported the statement that cryptocurrencies are worth paying attention to. At the very beginning of his speech he claimed that cryptocurrencies in general and bitcoin in particular have long since become real investment instruments, just as fiat currencies, oil or gold. Regarding technical analysis, a popular tool among traders, graphs of several cryptocurrencies look so appealing that it makes investors come to this market again and again.
Oleg Dmitriev, an independent specialist from Larson&Holz group, focused attention on how fast cryptocurrencies are evolving, upgrading the convenience of use and its status.
“Until recently about a half of what we were talking about could become a reason for criminal investigation, yet today operations with cryptocurrencies are absolutely normal, their invasion to the real world and their synergy with fiat currencies is ever growing” stated Mr. Dmitriev.
Currently there are 800 cryptocurrencies, their number is growing (each week there are approximately 2,5 new placements). Due to this there comes a reasonable question: how long will cryptocurrencies survive? All the participants and experts have agreed upon one opinion that there is no place for all 800 cryptocurrencies or more; so there will be some sort of fast natural selection; several dozens (maybe a hundred) of the most powerful, resilient and popular cryptocurrencies will stay and will later represent the whole market.
Naturally, the next speech was given by Alexandr Smirnoff, the Head of the Trading Operations and Audit Department of the brokerage house L&H, a top-20 trading guild leader and a famous specialist in market exchange technologies and financial consulting. Mr Smirnoff presented the revolutionary project LH Crypto. It’s not just another exchange platform that Larson&Holz is creating, it starts a fully-featured crypto-broker; it means that from now on the company’s clients will be able to have their accounts not only in USD and EUR, but in cryptocurrencies as well, and make the same operations as with fiat currencies. This step will radically change the broker’s economy, it will open new markets and new regions, where local laws had hindered Forex market development before.
LH Crypto will allow the broker to make settlements with China, India, Thailand, Malaysia, Vietnam, many Arab countries; what is more, there is no need to open real representative offices in any of these countries, therefore there is no need to acquire license for operational activity, which will reduce the operational expenses from 6% to 1%. The company launches an ICO to support this project in the autumn 2017; Larson&Holz will release LHCoin tokens with guaranteed (written in the smart contract) profitability of more than 20%. Moreover, LHCoin holders will benefit from programmes which provide additional profits. CASHBACK Program is a monthly payback to token holders as a fixed proportion from the operational activity of the company. Early Bird Bonus an effective instrument to support and reward first investors by means of price growth for the following investors.
“We presume that during the PRE ICO and the ICO itself we will manage to attract around 5-10 mln USD, but we won’t be surprised if the interest is higher, for we do offer an innovative product” said Alexandr Smirnoff. PRE ICO will start on the 30th of October, ICO – a month later.
submitted by LHCrypto to icocrypto [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)
  12. jameschanx (176 points, 94 comments)
  13. Artmageddon (167 points, 83 comments)
  14. htrajan (162 points, 81 comments)
  15. boyko11 (154 points, 99 comments)
  16. alyssa_p_hacker (146 points, 80 comments)
  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)
  27. oimesbcs (99 points, 67 comments)
  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)
  78. dfihn3 (50 points, 43 comments)
  79. mlcrypto (50 points, 32 comments)
  80. omscs-student (49 points, 26 comments)
  81. NellVega (48 points, 32 comments)
  82. booglespace (48 points, 23 comments)
  83. ccortner3 (48 points, 23 comments)
  84. caa5042 (47 points, 34 comments)
  85. gcalma3 (47 points, 25 comments)
  86. krushnatmore (44 points, 32 comments)
  87. sn_48 (43 points, 22 comments)
  88. thenewprofessional (43 points, 16 comments)
  89. urider (42 points, 33 comments)
  90. gatech-raleighite (42 points, 30 comments)
  91. chrisong2017 (41 points, 26 comments)
  92. ProudRamblinWreck (41 points, 24 comments)
  93. kramey8 (41 points, 24 comments)
  94. coderafk (40 points, 28 comments)
  95. niufen (40 points, 23 comments)
  96. tholladay3 (40 points, 23 comments)
  97. SaberCrunch (40 points, 22 comments)
  98. gnr11 (40 points, 21 comments)
  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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Break Even Analysis Graph - YouTube Preparing back-test: Machine Learning and Pattern Recognition for Algorithmic Trading p. 18 CandleStick Charts  The Ultimate Guide Part 1 The Fundamental Analysis - YouTube Make a Living In 1 Hour a Day Trading the 3 Bar Play ... Python Charting Stocks/Forex for Technical Analysis Part 4 - Automating stock prices

We've considered fundamental and technical analysis. Also we have learned basic terms of technical analysis: support and resistance, trend and channel lines. We've been watching the prices for many years and it shows that different combinations of these lines create Forex pattern chart figures — the patterns of chart analysis usually expressed in candlestick form. To sum up, the forex chart patterns technical analysis is a crucial part of the Forex price action trading. We had a look at the most common price formations and which ones are our favorites to trade. Now is the time for you time apply what you have learned in this guide and drop a comment below if you have any questions. Forex trading involves substantial risk of loss and is not suitable for all investors. Please do not trade with borrowed money or money you cannot afford to lose. Any opinions, news, research, analysis, prices, or other information contained on this website is provided as general market commentary and does not constitute investment advice. We will not accept liability for any loss or damage ... Try this amazing FOREX-trading-test quiz which has been attempted 2404 times by avid quiz takers. Also explore over 15 similar quizzes in this category. Forex indicators are tools that simplify the data shown in a graph. They can translate the values shown into an easier-to-read figure, and they can be used to single out specific properties of the market, such as trend strength, price averages, and possible pivotal points. Get instant answers to the most common questions about the Forex Analysis App. Is Forex Analysis app completely free? Yes. The free version is completely free and you are welcome to use it as long as you want. But you also have an option of upgrading to premium analysis. The premium service offers you a Forex Market analysis with 85% accuracy. Is this a Trading Robot or an Autotrader? No. The ... Forex Indicators Download Free Forex eBooks Forex PDF IFCM. Check the trend line started earlier the same day, or the day before. Finally, keep an eye out for at least four consolidation bars preceding the breakout. The stock has the entire afternoon to run. Stock Patterns In few markets is there such fierce competition as the stock market ...

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Break Even Analysis Graph - YouTube

This video shows how to do a Break Even Analysis using a graph. You should first know how to do one using an equation, which can be found here https://www.youtu... The question is seeing them. Chart patterns is your little friends in technical analysis that signal you about the beginning of a new trend and a good money making opportunity. Follow our Youtube channel, and in particular this playlist, to learn all the secrets of fundamental analysis and how this type of analysis plays a predominant role in predicting the future market ... A Complete Guide To Volume Price Analysis https://amzn.to/2D94PD6 Feel free to ask questions and dive into my channel its jammed packed with a lot of great information that's helped me along the way. #Stocks #Trading #Investing QUESTIONS ANSWERED! Stop over complicating your trading. It doesn't have to be so confusing. Keep it simple! Simple is profitable... In this video, we set up the back-testing for our pattern recognition and predictions. Welcome to the Machine Learning for Forex and Stock analysis and algorithmic trading tutorial series. Python Charting Stocks/Forex for Technical Analysis Part 7 - Basic Financial Graph - Duration: 16:06. sentdex 23,861 views. 16:06. We drove these electric cars until they DIED! - Duration: 28:13 ...

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