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Tổng quan về sàn giao dịch Forex ( ngoại hối ) Fxcess

Tổng quan về sàn giao dịch Forex ( ngoại hối ) Fxcess

Tổng quan về sàn giao dịch chứng khoán quốc tế Fxcess tại Vietnam


Sàn giao dịch Fxcess
FXcess là một nhà môi giới Forex và CFDs, cung cấp 2 loại tài khoản giao dịch khác nhau để giao dịch trên 200 công cụ tài chính bao gồm Forex, Chỉ số, Hàng hóa, Cổ phiếu và Tiền điện tử trên nền tảng giao dịch MetaTrader 4 cho PC, Mac, Web, Android và iOS.
Nhà môi giới này là một tên thương mại của tập đoàn Notesco Limited, một công ty đã đăng ký giấy phép FCA tại Anh.

Tóm gọn một số thông tin cơ bản:


  • Năm thành lập: 2004
  • Trụ sở chính: Broadgate tower, 20 Primrose street, London, United Kingdom
  • Giấy phép: FCA (số: 585561)
  • Tiền gửi tối thiểu: $ 1
  • Đòn bẩy tối đa: 1:1000 / Đòn bẩy tối thiểu: 1:1
  • Copy Trade: Có
  • Hình thức nạp tiền: Thẻ tín dụng (Credit Card), Neteller, Skrill, Internet Banking, Bitcoin, Ngân lượng
  • Sản phẩm giao dịch Fxcess cung cấp: Tiền tệ, tiền điện tử, kim loại, năng lượng, chứng khoán CFD, ETF
  • Phần mềm giao dịch Fxcess hỗ trợ: Metatrader 4 ( MT4)
  • Hệ điều hành tương thích: Windows / Mac, Web, Android / iOS

MỞ TÀI KHOẢN TẠI ĐÂY
submitted by fxcessvietnam to u/fxcessvietnam [link] [comments]

Looking back 18 months.

I was going through old emails today and came across this one I sent out to family on January 4, 2018. It was a reflection on the 2017 crypto bull market and where I saw it heading, as well as some general advice on crypto, investment, and being safe about how you handle yourself in cryptoland.
I feel that we are on the cusp of a new bull market right now, so I thought that I would put this out for at least a few people to see *before* the next bull run, not after. While the details have changed, I don't see a thing in this email that I fundamentally wouldn't say again, although I'd also probably insist that people get a Yubikey and use that for all 2FA where it is supported.
Happy reading, and sorry for some of the formatting weirdness -- I cleaned it up pretty well from the original email formatting, but I love lists and indents and Reddit has limitations... :-/
Also, don't laught at my token picks from January 2018! It was a long time ago and (luckliy) I took my own advice about moving a bunch into USD shortly after I sent this. I didn't hit the top, and I came back in too early in the summer of 2018, but I got lucky in many respects.
----------------------------------------------------------------------- Jan-4, 2018
Hey all!
I woke up this morning to ETH at a solid $1000 and decided to put some thoughts together on what I think crypto has done and what I think it will do. *******, if you could share this to your kids I’d appreciate it -- I don’t have e-mail addresses, and it’s a bit unwieldy for FB Messenger… Hopefully they’ll at least find it thought-provoking. If not, they can use it as further evidence that I’m a nutjob. 😉
Some history before I head into the future.
I first mined some BTC in 2011 or 2012 (Can’t remember exactly, but it was around the Christmas holidays when I started because I had time off from work to get it set up and running.) I kept it up through the start of summer in 2012, but stopped because it made my PC run hot and as it was no longer winter, ********** didn’t appreciate the sound of the fans blowing that hot air into the room any more. I’ve always said that the first BTC I mined was at $1, but looking back at it now, that’s not true – It was around $2. Here’s a link to BTC price history.
In the summer of 2013 I got a new PC and moved my programs and files over before scrapping the old one. I hadn’t touched my BTC mining folder for a year then, and I didn’t even think about salvaging those wallet files. They are now gone forever, including the 9-10BTC that were in them. While I can intellectually justify the loss, it was sloppy and underlines a key thing about cryptocurrency that I believe will limit its widespread adoption by the general public until it is addressed and solved: In cryptoland, you are your own bank, and if you lose your password or account number, there is no person or organization that can help you reset it so that you can get access back. Your money is gone forever.
On April 12, 2014 I bought my first BTC through Coinbase. BTC had spiked to $1000 and been in the news, at least in Japan. This made me remember my old wallet and freak out for a couple of months trying to find it and reclaim the coins. I then FOMO’d (Fear Of Missing Out”) and bought $100 worth of BTC. I was actually very lucky in my timing and bought at around $430. Even so, except for a brief 50% swing up almost immediately afterwards that made me check prices 5 times a day, BTC fell below my purchase price by the end of September and I didn’t get back to even until the end of 2015.
In May 2015 I bought my first ETH at around $1. I sent some guy on bitcointalk ~$100 worth of BTC and he sent me 100 ETH – all on trust because the amounts were small and this was a small group of people. BTC was down in the $250 range at that point, so I had lost 30-40% of my initial investment. This was of the $100 invested, so not that much in real terms, but huge in percentages. It also meant that I had to buy another $100 of BTC on Coinbase to send to this guy. A few months after I purchased my ETH, BTC had doubled and ETH had gone down to $0.50, halving the value of my ETH holdings. I was even on the first BTC purchase finally, but was now down 50% on the ETH I had bought.
The good news was that this made me start to look at things more seriously. Where I had skimmed white papers and gotten a superficial understanding of the technology before FOMO’ing, I started to act as an investor, not a speculator. Let me define how I see those two different types of activity:
So what has been my experience as an investor? After sitting out the rest of 2015 because I needed to understand the market better, I bought into ETH quite heavily, with my initial big purchases being in March-April of 2016. Those purchases were in the $11-$14 range. ETH, of course, dropped immediately to under $10, then came back and bounced around my purchase range for a while until December of 2016, when I purchased a lot more at around $8.
I also purchased my first ICO in August of 2016, HEAT. I bought 25ETH worth. Those tokens are now worth about half of their ICO price, so about 12.5ETH or $12500 instead of the $25000 they would be worth if I had just kept ETH. There are some other things with HEAT that mean I’ve done quite a bit better than those numbers would suggest, but the fact is that the single best thing I could have done is to hold ETH and not spend the effort/time/cost of working with HEAT. That holds true for about every top-25 token on the market when compared to ETH. It certainly holds true for the many, many tokens I tried to trade in Q1-Q2 of 2017. In almost every single case I would have done better and slept better had I just held ETH instead of trying to be smarter than Mr. Market.
But, I made money on all of them except one because the crypto market went up more in USD terms than any individual coin went down in ETH or BTC terms. This underlines something that I read somewhere and that I take to heart: A rising market makes everyone seem like a genius. A monkey throwing darts at a list of the top 100 cryptocurrencies last year would have doubled his money. Here’s a chart from September that shows 2017 year-to-date returns for the top 10 cryptocurrencies, and all of them went up a *lot* more between then and December. A monkey throwing darts at this list there would have quintupled his money.
When evaluating performance, then, you have to beat the monkey, and preferably you should try to beat a Wall Street monkey. I couldn’t, so I stopped trying around July 2017. My benchmark was the BLX, a DAA (Digital Asset Array – think fund like a Fidelity fund) created by ICONOMI. I wasn’t even close to beating the BLX returns, so I did several things.
  1. I went from holding about 25 different tokens to holding 10 now. More on that in a bit.
  2. I used those funds to buy ETH and BLX. ETH has done crazy-good since then and BLX has beaten BTC handily, although it hasn’t done as well as ETH.
  3. I used some of those funds to set up an arbitrage operation.
The arbitrage operation is why I kept the 11 tokens that I have now. All but a couple are used in an ETH/token pair for arbitrage, and each one of them except for one special case is part of BLX. Why did I do that? I did that because ICONOMI did a better job of picking long-term holds than I did, and in arbitrage the only speculative thing you must do is pick the pairs to trade. My pairs are (No particular order):
I also hold PLU, PLBT, and ART. These two are multi-year holds for me. I have not purchased BTC once since my initial $200, except for a few cases where BTC was the only way to go to/from an altcoin that didn’t trade against ETH yet. Right now I hold about the same 0.3BTC that I held after my first $100 purchase, so I don’t really count it.
Looking forward to this year, I am positioning myself as follows:
Looking at my notes, I have two other things that I wanted to work into this email that I didn’t get to, so here they are:
  1. Just like with free apps and other software, if you are getting something of value and you didn’t pay anything for it, you need to ask why this is. With apps, the phrase is “If you didn’t pay for the product, you are the product”, and this works for things such as pump groups, tips, and even technical analysis. Here’s how I see it.
    1. People don’t give tips on stocks or crypto that they don’t already own that stock or token. Why would they, since if they convince anyone to buy it, the price only goes up as a result, making it more expensive for them to buy in? Sure, you will have friends and family that may do this, but people in a crypto club, your local cryptocurrency meetup, or online are generally not your friends. They are there to make money, and if they can get you to help them make money, they will do it. Pump groups are the worst of these, and no matter how enticing it may look, stay as far away as possible from these scams. I even go so far as to report them when I see them advertise on FB or Twitter, because they are violating the terms of use.
    2. Technical analysis (TA) is something that has been argued about for longer than I’ve been alive, but I think that it falls into the same boat. In short, TA argues that there are patterns in trading that can be read and acted upon to signal when one must buy or sell. It has been used forever in the stock and foreign exchange markets, and people use it in crypto as well. Let’s break down these assumptions a bit.
i. First, if crypto were like the stock or forex markets we’d all be happy with 5-7% gains per year rather than easily seeing that in a day. For TA to work the same way in crypto as it does in stocks and foreign exchange, the signals would have to be *much* stronger and faster-reacting than they work in the traditional market, but people use them in exactly the same way.
ii. Another area where crypto is very different than the stock and forex markets centers around market efficiency theory. This theory says that markets are efficient and that the price reflects all the available information at any given time. This is why gold in New York is similar in price to gold in London or Shanghai, and why arbitrage margins are easily <0.1% in those markets compared to cryptoland where I can easily get 10x that. Crypto simply has too much speculation and not enough professional traders in it yet to operate as an efficient market. That fundamentally changes the way that the market behaves and should make any TA patterns from traditional markets irrelevant in crypto.
iii. There are services, both free and paid that claim to put out signals based on TA for when one should buy and sell. If you think for even a second that they are not front-running (Placing orders ahead of yours to profit.) you and the other people using the service, you’re naïve.
iv. Likewise, if you don’t think that there are people that have but together computerized systems to get ahead of people doing manual TA, you’re naïve. The guys that I have programming my arbitrage bots have offered to build me a TA bot and set up a service to sell signals once our position is taken. I said no, but I am sure that they will do it themselves or sell that to someone else. Basically they look at TA as a tip machine where when a certain pattern is seen, people act on that “tip”. They use software to see that “tip” faster and take a position on it so that when slower participants come in they either have to sell lower or buy higher than the TA bot did. Remember, if you are getting a tip for free, you’re the product. In TA I see a system when people are all acting on free preset “tips” and getting played by the more sophisticated market participants. Again, you have to beat that Wall Street monkey.
  1. If you still don’t agree that TA is bogus, think about it this way: If TA was real, Wall Street would have figured it out decades ago and we would have TA funds that would be beating the market. We don’t.
  2. If you still don’t agree that TA is bogus and that its real and well, proven, then you must think that all smart traders use them. Now follow that logic forward and think about what would happen if every smart trader pushing big money followed TA. The signals would only last for a split second and would then be overwhelmed by people acting on them, making them impossible to leverage. This is essentially what the efficient market theory postulates for all information, including TA.
OK, the one last item. Read this weekly newsletter – You can sign up at the bottom. It is free, so they’re selling something, right? 😉 From what I can tell, though, Evan is a straight-up guy who posts links and almost zero editorial comments.
Happy 2018.
submitted by uetani to CryptoCurrency [link] [comments]

E-F 1k-5k

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Best Crypto Trading Bots 2019

Best Crypto Trading Bots 2019
WolfpackBOT - The World's Fastest Crypto Trading Bot

https://preview.redd.it/s5j8hgsgsi131.png?width=799&format=png&auto=webp&s=e0e5597fa32aa74f78fcfbb5cc08d143f8b8ca3b
There are basically two different ways you can make mazuma from digital currencies. You can purchase a couple of coins currently, hold them for an extensive period and offer them after the esteem has risen significantly or you can get started with exchanging digital forms of money, here once more, you can exchange physically or run with the best crypto exchanging bots. While holding cryptographic money for a more drawn out term has turned out to be fulfilling, it takes a bounty of time and tolerance for you to optically observe the estimation of your speculation increase.If you are somebody, who does not have the persistence to hang tight for so long, at that point digital currency trading provides you with the immaculate chance to make some mazuma. Numerous prosperous digital currency dealers do recommend you purchase low and sell high. In any case, this is easier verbalized than done.
Digital currencies have been cosmically unpredictable since the earliest reference point. They are the main tradable resources whose esteem shifts in twofold digit rates every day. The cost does not generally go up either. Along these lines, timing the market is the way to turning into a prosperous cryptographic money merchant.
Exchanging digital money isn't any advanced science. All you require is a record on a digital money trade and some cryptographic money in your wallet. This would have been the situation, had you started exchanging these computerized resources route in 2010.
Presently, on the off chance that you try to put in any limitation request on any famous cryptographic money trade, you will outwardly see another application set appropriate above you're, putting forth a superior arrangement. Hence, you are constrained to put orders at market esteem.
The way that a superior offer quickly negated your offer does not assign that somebody is continually crushing before the PC. You just set off crypto exchanging bot when you submitted your request. The best bitcoin exchanging bots have surmounted the whole cryptographic money exchanging biological system, and this is primarily because of the way that they are more effective than people, particularly when it comes down to exchanging.
Presently that you ken that bots have surmounted the crypto exchanging market, you more likely than not understood as of now that the chances of making mazuma when piled facing a great many bots are cosmically svelte.
You could ace all the distinctive specialized investigation strategies and exceed the bots. In any case, in addition to the fact that this is tedious withal very tedious. So instead of investing more energy finding out about the specialized investigation, you can set up the crypto exchanging bots all alone. By the end of this article, not exclusively will you ken probably the most profitably rewarding cryptographic money exchanging bots out there, yet moreover will be enabled with the intelligence of winnowing your very own exchanging bot later on.
Variables to Look for When Culling the Best Crypto Trading Bots
  1. Dependability
A standout amongst the most vital viewpoints to consider is the dependability of an exchanging bot. You would not operate to lose on a brilliant open door because your crypto bot went disconnected or stopped working for quite a while.
You may contend that there is no real way to make sure about the dependability of a specific exchanging bot. Notwithstanding, you aren't the just a single using a bot. Scan for what alternate clients who have used a particular bot need to verbally express about its consistent quality or basically allude to our rundown of the best bitcoin exchanging bots underneath.
  1. Security
With regards to cryptographic forms of money, you can't inculpate anybody yet yourself if there should be an occurrence of a hack. When you initiate using an exchanging bot, you are giving the bot access to your mazuma. This can be very jeopardous, particularly if the exchanging bot is beginning in the field.
There is no telling how secure a specific bot is. In this way, while separating an exchanging bot, complete quintessential research and winnow a bot that has been broadly extolled for its security.
  1. Productivity
Everything comes down to this fundamental part. Is the bot profitably worthwhile or not? An inquiry for which it is elusive an answer. The primary reason you chose to run with an exchanging bot is to benefit over its exchanging ability. There is no influential pertinence in using a bot that isn't profitably rewarding. In this way, discover the productivity of a bot up to you put both your time and mazuma into it.
  1. Straightforwardness
The fundamental motivation behind why digital currency rose to acclaim is that the entire system is plenarily straightforward. There is the wrong spot for any injustice. The equivalent ought average even from the exchanging bot that you choose to run with.
Attempt to winnow a bot whose engineers are unmistakable for their work in the network. Straightforwardness benefits to fabricate trust as well as also profits you to connect with the ideal individuals to adjust any issue.
  1. Simplicity of profit
The entire cogency of running with a robotized bitcoin exchanging is to make the whole procedure of transferring cryptographic forms of money simple for everybody. A bot which accompanies a simple to use interface is the one that is exceptionally well known. Having the capacity to control the bots with only a couple of snaps of the mouse is something you should pay individual mind to, in the bot that you choose to use.
Considering every one of the variables we have arranged a rundown of the best ten digital currency exchanging bots in 2019, the review will be unendingly refreshed with the goal that data remains apropos.
Top 10 Best Crypto Trading Bots in 2019
  1. Cryptohopper
This may be a new bot in the crypto exchanging market. In any case, this newcomer has figured out how to blow some people's minds because of the comprehensive exhibit of highlights that this bot gives. One of the defeats of most exchanging bots is that they kept running on your neighborhood machine. This betokens they run just when you have turned on your PC.
With the lift in enthusiasm for cloud-predicated advancements, Cryptohopper uses cloud innovation to keep the bot running day in and day out. By running the bot on a cloud, clients will most likely put in exchange requests notwithstanding amid the night. In this manner, no open door is missed.
Another critical reason that prompted the lift in the notoriety of Cryptohopper is its simplicity of usage, particularly for the tyro. The bot has incorporated with an outside exchanging signaller. This assigns anybody can initiate using this bot by running it on autopilot. This is a help to the nascent dealers, who need not stress over setting exchanging signals for their bot. The bot withal gives progressively experienced clients a chance to mess around and set their own exchanging signals. Along these lines, it is satisfying the desiderata of both. Aside from this, the bot is incidentally outfitted with highlights, for example, trailing stops, specialized examination, formats, and backtesting. Formats benefit you to design a nascent setting for your bot quickly, and specialized investigation sanctions you to redo and arrange your own settings.
Like every extraordinary thing, the crypto container comes with a sticker price fastened to it. The cost starts from $19 every month for the fundamental arrangement and goes up to $99 per month if you operate their most extravagant arrangement. When you buy into any of the organizations, you can start using the bot on prominent trades like Binance, Huboi, Kucoin, Bittrex, Coinbase, Poloniex, Kraken, Cryptopia, and Bitfinex. On the off chance that you are slanted to spend the additional buck on an exchanging bot, at that point Cryptohopper is an extraordinary separate.
  1. 3Commas
Even though 3Commas bot is nascent to the exchanging bot scene, it could give its clients huge increases, notwithstanding amid the crypto bear showcase.
The new element that dissevers this bot from other bots is its workforce to trail any crypto advertise. This authorizes the bot to close the exchange at the most profitably excellent position, yet the objective addition set by the utilizer had just been come to. This element benefits enormously amid the crypto bull run. Additionally, the bot adventitiously endorses clients to exchange numerous cryptographic forms of money simultaneously. In this manner, it is not passing up any great exchanging opportunity that goes along the way. The bot is set up on the cloud and is available through the site. This betokens the bot runs 24X7. The bot can be designed with Binance and Bittrex at this moment and increasingly legitimate trades, for example, BitFinex, Poloniex, KuCoin, and so forth will be coordinated anon.
The 3Commas comes with a sticker price appended to it. The starter plan will cost you $24, and the most luxurious genius pack would set you back by $82. On the off chance that you operate to give crypto bot exchanging a go, at that point, you could use the 3Commas starter plan and later peregrinate to the more rich schemes.
  1. Gunbot
This is another mainstream exchanging bot with more than 6000 dynamic merchants using its lodging on a quotidian substructure. Good with a few exchanging stages including Binance and GDAX, it very well may be kept running on your nearby PC. This can keep running on Windows, Linus, and the Mac stages, so running on your neighborhood machine would not be a bind.
The bot has 32 diverse pre-arranged exchanging systems which give clients a wide cluster of choices to induce some automated revenue. Among these techniques, the three most well-known ones are the Bollinger band, step addition, and ping pong. Numerous clients have detailed having made a bounty of benefits with the BB procedures. Gunbot isn't in freedom to use and accompanies a one-time level rate running from 0.1BTC to 0.3BTC, contingent upon the highlights that you would savor to optically observe in the bot. Aside from this, the bot supplementally comes as a Lite rendition that has encircled highlights yet can be habituated to test around with the lesser measure of mazuma.
The post-buy support given by the organization is truly surprising. Clients get their issues settled in less than multi-day. The main pickle with regards to this bot is that you ought to in every case reliably outwardly look at the present market state. If the instability of the crypto advertise is high, at that point you ought to most likely turn the bot off to shun any misfortune
  1. Gekko
This is the most diverse digital money exchanging bot in subsistence at present. For any individual who needs to gain proficiency with some things about exchanging bots and not spend any mazuma getting one, at that point Gekko is the bot for you. The Gekko trading bot is an open source bitcoin exchanging bot venture that is accessible for anybody to use for nothing. The way that it is in freedom to use is the fundamental purpose behind its wide prevalence. Like some other open-source ventures, Gekko is free of for all intents and purposes all bugs and even the ones the pop are fixed up at lightning speeds. The Gekko bot can collaborate with a few trades, including Bitfinex, Polonix, and BitStamp. The bot uses a web interface to associate with the clients and can keep running on a neighborhood machine with Windows, Linux, or the Mac OS.
The bot comes pre-designed with some exchanging system. You can initiate using the bot on autopilot as anon as you introduce and design it with a trade. In any case, if you would savor to use your very own exchanging system, the bot withal endorses you to design it to your savoring. While the present design is respectable for trying different things with the bot, there are a few other exchanging techniques accessible online that would benefit you make an all the more profitably worthwhile wager. The bot will withal send you a notice at whatever point it executes a specific exchange. This is finished by incorporating it with the Telegram envoy. Consequently, you will dependably ken how well your bot is performing.
The main drawback to the Gekko exchanging bot is that it isn't very utilizer-heartfelt. There are a few aides in the digital world that direct you through the underlying setup process. Be that as it may, this procedure isn't extremely direct and you would presumably hit a barricade at any rate once amid the underlying setup.
  1. Zenbot
Another allowed to use digital currency exchanging bot, Zenbot can be considered as a further developed form of the Gekko exchanging bot. Nonetheless, as Gekko has been around for a more extended time, it is all the more generally used. Much the same as Gekko, Zenbot programming can be downloaded from Github and introduced on your neighborhood PC. The product is perfect with Windows, Mac just as the Linux working frameworks. The bot comes pre-arranged with an entirely nice exchanging system. In any case, its real potential can be opened only when you initiate executing your exchanging order. The primary bind with the allowed to use bots is that they are frequently not very utilizer-genial. In any case, this isn't the situation with Zenbot. The entire setup process is extremely effortless, and you can have the bot fully operational in all respects speedily. The bot chips away at all prevalent trades, for example, Bitfinex, Poloniex, Bittrex, and so on.
As it is an open source venture, it is without now of a few bugs, and regardless of whether one springs up, it will be adjusted all around speedily. The Zenbot can effortlessly actualize with a few informing stages, for example, slack, Telegram, and so on to give you the updates of any exchange that was executed.
Adventitiously, the Zenbot withal braces high-recurrence exchanging. This is a component that outlined the personnel of the Gekko bot. The Zenbot is being refreshed, and more highlights are being incorporated traditionally. Hence, making it a bot for you to reliably outwardly analyze.
  1. WolfpackBOT: WolfpackBOT is a cryptographic money exchanging programming application that has been created with the most developed highlights of any robotized exchanging programming of its sort. The WolfpackBOT has been intended to execute exchanging directions with the usage of restrictive numerical calculations, and specialized investigation bespeakers predicated on the client's predefined assignments.
The cryptographic money advertise as of now bearish, and many exchanging bots easily miss the scarcest vacillations. WolfpackBOT has been built to execute trading directions at a lightning speed and is fit for making up to a large number of exchanges every day, relying upon the states of the market.
WolfpackBOT is among the few cryptographic money exchanging bots that give crypto aficionados full self-governance, security, and control of their exchanging bot and its related API keys. A large portion of the crypto trading bots out there are cloud-predicated stages that are constrained by outsider frameworks. While these stages guarantee dealers of outright wellbeing and security, insightful brokers ken that in the crypto space, outsider frameworks like trades and other cloud-predicated steps are hacked proximately consistently. Since WolfpackBOT programming and your related API keys are put away individually PC or devoted VPS, WolfpackBOT can sidestep a significant number of the security issues related to cloud-predicated frameworks.
WolfpackBOT has been created for the whole crypto network, from experienced merchants to novices, with three in all respects reasonably valued membership levels. WolfpackBOT accompanies a few membership bundles that authorize clients to exchange with a wide scope of chances predicated on their favored membership.
  1. CryptoTrader
cryptotrader_reviewAlmost all digital money merchants would have aurally seen about the crypto dealer exchanging bot. The across the board fame of this bot is because it was one of the absolute first bots to be kept running on the cloud and accessible to the clients day in and day out.
The crypto broker bot is plenarily web-predicated and in this manner, open from anyplace you can associate with the digital world. The bot can be easily designed with a few well-known trades, for example, Poloniex, Bittrex, Kraken, and so on. This bot does not come for nothing out of pocket. You can operate from the few organizations accessible. The valuing initiates with 0.003BTC every month for the most simple arrangement and this goes up to 0.0472 BTC every month for their excellent arrangement.
While all plans do offer clients support for programmed exchanging, the early highlights and as far as possible for the more indulgent plans is higher than that given the basic arrangement. Any early component that is caused is most readily accessible on the higher bundle designs and are later accessible on the basic plans. On the off chance that you would simply savor to exchange on a solitary trade and with exceptionally delineated mazuma, at that point the basic arrangement will get the job done. Be that as it may, on the off chance that you are outwardly looking at the higher volume of exchanges, at that point run with the higher bundle.
This bot additionally sustains algorithmic exchanging. In this manner, I am making it effortless for clients to execute their very own arrangements. The bot can be effortlessly modified. In this manner, I am making it a broadly utilized cryptographic money exchanging bot.
  1. Bitcoin Robot
btcrobotWe simply needed to incorporate the pioneer of digital currency exchanging bots on our rundown of the best crypto exchanging bots. The Bitcoin robot started as a Bitcoin exchanging bot. In any case, it can now withal be designed to exchange different digital currencies, for example, Ethereum and Litecoin. The bot is accessible as a product and should be downloaded and keep running on your neighborhood machine. This betokens the exchanges will be executed just as long as you keep your PC turned on. The bot can effortlessly work with a few digital money trades and is by and large broadly utilized even today. The bot isn't accessible free of expense and costs you a premium. The cost of the bot ranges from $19.99 every month for the principal plan. In any case, clients usually buy the platinum plan that costs just $399 one time charge and offers utilizer unlimited access to every one of the highlights.
The benefits made by individuals using this bot verbalizes for itself. Supplementally, they do offer a 60-days mazuma back assurance. Along these lines, you should look at them once.
  1. USI Tech
This can't be considered as a bot. In any case, the USI tech BTC settlement promises mechanized benefits for your BTC speculations. The USI Tech was at first intended for Forex exchanging. In any case, after the raise of the ubiquity of Bitcoin, they additionally offer BTC bundles. Not at all like some other BTC exchanging bot where you require to give the API key of your trade account to execute exchanges, on USI Tech, you will require to winnow from among the few BTC master exchanges. At that point, you will begin accepting your segment of benefits at whatever point exchange is made.
The USI Tech stage basically ensures extraordinary comes back to your speculations. The entire procedure of purchasing your absolute first BTC bundle is withal simple and pellucidly elucidated on their site. You can explore different avenues regarding the benefits that you gain. In any case, the number of bundles you purchase, the more dominant will be your benefit
  1. Margin.De (Leonardo Bot)
Edge LeonardobotThis is a cryptographic money exchanging bot with the most utilizer-genial interface. The GUI of the bot is easy to use, and the highlights gave are extremely puissant. The bot was structured with two exchanging techniques ping pong and Margin exchanging actualized into it. In any case, you can withal modify it with your very own custom settings. This bot lays incredible complement on the visual parts of exchanging. The specialized examination done by the bot is immensely simple to break down. What more? The bot has an astonishing component called visual exchanging. This interface feels rich smooth to use and offers clients the most extreme authority over the exchanges.
The bot was at first evaluated at 0.5 BTC consistently. Notwithstanding, presently, it is accessible at a one-time cost extending from $89 to $1999 with the most elevated arrangement offering a bigger number of highlights than th
submitted by restpage123 to digitalseo [link] [comments]

Forex Trading Platform - Online Trading Strategy

Forex Trading Platform - Online Trading Strategy
Forex Trading Platform - Online Trading Strategy
Check Out The Infographic Version Of This Article: learn the forex trading platform that can bring success to your online trading strategyOnline Forex trading has now become the most lucrative way to earn money around the world for both the traders and the brokers. Finance brokerages are trying every possible way to pull in customers and convert them as their loyal clients. While it is crystal clear that an online trading platform is a must to aloft your forex trading career, it is more important to choose the best trading platform among the thousands that are available online. Get to know how a trading platform performs and learn about forex trading that can bring success to your online trading strategy.
  • REAL-TIME DATA:-If your trading platform is not able to relay you the live market prices, it would be like a graph and chart displaying screen leading you to the darkest edges of trading losses. Real-time data becomes the key factor in trading and plays a crucial role in influencing your trading decisions.
  • USER-FRIENDLY INTERFACE:-You should feel comfortable enough to execute trades, understand what the platform is all about and be familiar with all the functions and features in the platform. It should deliver you a smooth experience and allow you to trade with less hassle and perplexity.
  • CHARTS AND TECHNICAL INDICATORS - THE MORE IN NUMBER, HIGHER THE COMPLEXITY:-You might have observed that some trading platforms have an endless number of charts and technical indicators. Being a trader, the more you get exposed to a wide number of charts and indicators, higher are the chances you tend to forget what you have already learned. A trading platform which has minimal but the most important charts and indicators are more reliable.
  • THE ABILITY TO TRADE ANYWHERE AND EVERYWHERE:-You cannot afford to miss opportunities when the market conditions are favourable. You must have access to your trading account irrespective of the place you are in i.e. your trading platform should be compatible with different devices either it is Android, iOS or desktop.
  • A BRIEF HISTORY OF YOUR TRADING:-Looking back always helps you to learn more and be the better version of you. The feature of analyzing your trading history can give you tons of added advantage and enlightenment when you want to improve your online trading strategy.

THE KEY TO YOUR TRADING SUCCESS WITH AX1 PLATFORM…

AX1 Trading Platforms is one of the most successful trading platform used worldwide by financial brokerages and traders. Being unique in its class, find out how AX1 trading platform could help you become a successful trader:
  • Real-time data is the most important factor in online forex trading, AX1 trading platform gets you accurate forex quotes at every instance without fail thus helping you maximize your gains.
  • A customer-centric and user-friendly design makes it stand above in its class. The elegant design makes you feel comfortable every time you use it. Experience a smooth and flawless trading platform.
  • AX1 platform offers you the charts and indicators which are easy to understand and trade with. Looking into and referring too many charts will not only confuse you but will also disrupt your trading career.
  • AX1 platforms are available in Android, iOS, Windows and MacOS allowing you to trade 24/7 without any interruptions.
  • It is important to stay on track by analyzing your previous wins and losses. With AX1 platforms you get detailed information of how your previous trades have ended up providing you with enough information and support for your futures trading.
To be a long-term successful trader, you must have the grit and perseverance along with the ability to make smart trading decisions. One such decision is choosing the platform you are going to trade with. To be successful, you have to go for the best.
submitted by alshuaib_financials to u/alshuaib_financials [link] [comments]

General info and list of exchanges for Pinnacle Brilliance

Brilliance is a Stellar based token that will be used within Pinnacle, a full featured investment app, that will connect all other major exchanges and brokerages into a single access point for the first time in history.
About Pinnacle Brilliance Pinnacle is the trading and investment platform that will become your primary point of access to the growing world of crypto, CFD, stocks, futures, and options investment. Pinnacle will be a full featured investment multiplex with truly automated trading features for beginners, and the very best trading tools for professionals. This platform will revolutionize trading cryptocurrency and world markets.
Pinnacle services include:
Access to every major trading exchange and ability to execute all trading functions within the platform (PC, Mac, Android and iOS) Fully automated arbitrage trading within and between all exchanges Copy/follow professional traders as they place trades across multiple platforms simultaneously (with multi-month performance based qualification system and automated commissions) YamaCat Trading Course For Beginners to learn all skills necessary to be a competent trader in real time Extensive charting app for all exchanges with advanced AI trade pattern recognition/identification, automated trade execution, and trade setup alerts for professionals Pinnacle proprietary trading strategy signals (80%+ accuracy) with programmable execution for any exchange and any market Encrypted group messaging and monetized communications feature for professionals to offer trade recommendation subscriptions (trading strategies/tips, group based training, etc.) Specialized Pinnacle automated trading systems geared toward 1:1 trading of crypto and stocks with exceptionally low risk and consistently high rates of return Portfolio Investment Management Suite to track your holdings and help you build them for the short and long term Traders Market for users to buy and sell their own tools, indicators, bots, subscriptions, and private group memberships We think different people excel in different trading environments. If a person is not suited to the stress/pressure and fast decision making in forex, then 1:1 trading would be perfect. Especially for people who don't have a lot of time to trade.
Every single person can become a successful trader as long as they choose the trading style that fits their strengths and weaknesses.
Kucoin
Binance
Bit-Z
Bibox
Linkcoin
Qryptos
submitted by cryptoinvestor2020 to PinnacleBrilliance [link] [comments]

Pinnacle Brilliance has been added to WISERICO tracker

Pinnacle Brilliance has been added to WISERICO tracker
Vote for the Pinnacle Brilliance on WISERICO and follow Pinnacle Brilliance on the media platforms:
Telegram
Twitter
Facebook
Medium
Access to every major trading exchange (crypto, forex, futures, stocks, bonds, options, commodities, and ability to execute all trading functions within the platform (PC, Mac, Android and iOS) Fully automated arbitrage trading within and between all exchanges● Copy/follow professional traders as they place trades across multiple platforms simultaneously (with multi-month performance based qualification system and automated commissions)
Pinnacle Brilliance
submitted by wiserico to WISERICO [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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