Forex Broker Admiral Markets - Broker Test

Universal Bypass - Changelog

Universal Bypass

Changelog

403e242

32fce08

13.14.0

4efad54

13.13.1

fb4d832

13.13.0

970fd0c

13.12.4

13.12.3

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13.12.2

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13.12.1

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13.12.0

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13.11.0

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13.3

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13.1

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13.0.1

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13.0 — The Design Update

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12.9.2

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12.0 — The Updated Update

11.19.1

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11.0 — The Timed Update

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submitted by Hakorr to UniversalBypass [link] [comments]

Weekly Update: The Parachute culture, $COTI on Gate.io, Pynk crowdfunding campaign live, Voyager + Sterling Trading Tech…– 22 May - 28 May'20

Weekly Update: The Parachute culture, $COTI on Gate.io, Pynk crowdfunding campaign live, Voyager + Sterling Trading Tech…– 22 May - 28 May'20
Heyo! Continuing with our six-part catch up series to get up to date on the May and June news from Parachute and partners, here’s Part II of VI (22 May - 28 May'20):

If you're in crypto, there's often the random pump/moon/wenBinance talk that props up from time to time in groups. Especially, when someone new joins a project and is unfamiliar with the community culture. At Parachute, we have always made it a point to have more meaningful discussions than price. Cap shared some of his thoughts on this as well. For the #culturalweekend prompt this week, Jason got Parachuters to share about “something weird your family does that is a tradition for them but not a traditional tradition”. Peace Love’s Big Trivia in TTR was quite fun as always. The beta testing group for ParJar swaps was set up this week. Also, Chris organised something amazing this week which will possibly remain a secret amongst Parachute admins (and Doc Vic 😊 ). But if word of it ever goes out, you’ll realise why Parachute is the most wholesome project in all of crypto. Chris also gave out some cool $PAR to folks in the Parachute channel to talk about "something that you didn't spend much money on that had a big impact on your quality of life". This week's Two-for-Tuesday featured music from "female artists, including bands with at least one female member". Click here for the playlist. Thanks Sebastian!
Some good cheer from Alexis all the way from Germany
aXpire’s May recap video covers product updates from Bilr, PayBX etc. To track this week’s 20k $AXPR burn, click here. The team also shared success strategies for law firms. 2gether co-founder Salvador Casquero wrote about best security practices in finance. A new update was pushed to Wednesday Coin’s dApp, WednesdayClub. In this week’s XIO discussions, Citizens talked about ideal time allocation strategies for research and execution. Top Citizens on the Leaderboard stand a chance to win some cool merch. Also, watch out for pesky scams. Voyager announced a partnership with Sterling Trading Tech to launch a crypto trading widget. Proactive Investors covered Voyager in its latest piece chronicling their growing user base. As mentioned in a previous update, CEO Stephen Ehrlich’s crypto investment webinar happened this week. Switch crew did a community AMA just before the $GHOST airdrop snapshot. The team expanded with new dev hires. In preparation for the $GHOST airdrop, ProBit completed its $VSF:$ESH swap and Stex announced support for $ESH/$GHOST airdrop. $ESH was listed on HitBTC and Changelly. Folks who guessed these exchanges correctly won some tokens as well. Founder Josh Case sat down with Mr. Backwards for an interview. Among several updates to the Ghost website, a staking calculator was added. Click here to read the latest technical update from Fantom. $FTM was in the running to be added as a collateral for DAI. Congratulations to Uptrennd for becoming the highest ranked blockchain-based social media platform as per Alexa. They started a SmartLink campaign with 2key Network. The first Uptrennd halvening went live this week. The team is reachable on Discord from now as well. District0x’s latest District Weekly and Dev Updates can be read here and here respectively. Hydro team shared their thoughts on how virtual cards for independent contractors (otherwise referred to as 1099 employees) could improve reimbursement practices. Entries for their Decentralization Ambassador program were opened this week.
These look great, XIO team
This is what is planned for the GHOST ecosystem currently
SelfKey compiled a master list of crypto lending platforms. The Loans Marketplace will feature many of these. Full transcript of the May 12th AMA was released. SelfKey advisor Edmund Lowell spoke at the BlockConf DIGITAL conference this week. Mongolian exchange AIS-X joined the Exchange Marketplace. Pynk’s crowdfunding campaign on Seedrs went live this week. Check out their campaign video here. Amazing production! Plus, this cool feature in City A.M. was the perfect way to close off the week. Wibson hosted a meetup (online of course!) for its Spanish speaking community this week. The crew also introduced the app at an Ethereum event in Buenos Aires. Harmony burned all mainnet tokens mined before Open Staking going public. The latest staking stats and validator data can be seen here and here respectively. That’s right, 3B+ $ONE is already staked. Woohoo! With its latest CoinDCX listing, $ONE got its first INR trading pair. Saweet! The major improvement proposals that were discussed with the community this week were making Open Staking more decentralized and creating a more liquid staking market. This led to the first release after Open Staking. The winners of the effective-median-stake contest were announced. Hope you got a chance to take part in the Flash Quiz. Do you know about all the projects that have been built in the Harmony ecosystem? Here’s a rundown. The team hosted an AMA as well. BitMax changed some of its rules for $ONE staking. Check out COTI’s latest network growth stats here. And super congratulations on winning the Gate.io listing vote! $COTI was also added to Binance’s Locked Savings staking program. Broking platform Troy Trade partnered with COTI to improve its scalability. DoYourTip’s $DYT now has 2500+ HODLers. Neat! Mycro was invited to join BitForex’s app platform CAPP Town. GET Protocol’s GUTS Tickets was covered in Cryptogeeks’ latest blogpost on blockchain-based ticketing.

And with that, it’s a wrap for this week in Parachute and partners! See you again with another update. Cheerio!
submitted by abhijoysarkar to ParachuteToken [link] [comments]

on the fakeness of the internet

funny to see that subject pop up again. it was what drove me insane enough to find this sub in the first place.
at any rate, the problem is not the bots. I thought it was, but those are just part of the parasitic ecosystem.
but to get that, first we need to take a few steps back on web history, ad serving, UX, tracking technology and media advertising.
too lazy to gather links, but you know, do your googlin'.
I assume that most of you are fairly web literate here, but I'll try to go down into the bare bones as much as possible for those who aren't.
so let's start with a basic question - what is a web visitor anyway?
from the standpoint of a normal person, that would be a person browsing a given website or piece of content. from the standpoint of technology however all you know is that some device has downloaded content from your server using the http protocol. thanks to the wonderful technology of web browsers, you can plant browser cookies on a visitor - stuff that's used to remember if they logged in, what their preferences are, stuff that your service can read from the device. it also serves usually very basic telemetry like last visit time, session time, and so on.
this, over time has evolved in what we call browser fingerprinting, a convoluted bunch of technology that allows websites and web services to uniquely identify you.
it still doesn't know if you're a human or not, but from the standpoint of the web technology, you're a visitor.
now back in ye old days of the web, when the first banner ads were springing up, these were important questions. most consumers were still to be reached on traditional media channels, and ad spend would have to be justified somehow on the risky ventures of online business. so beyond traditional polls that would infer the value of visitors, websites would start tracking number of visitors, time on page and so on. these were used to milk the advertising cow so to speak, and it gave in to some funny developments like the creation of the popup ad - if I recon correctly on geocities, where they would just but the ads everywhere until some big auto company noticed that they're appearing on porn sites. so - put the ad in the popup, and you can claim it's not in the context of porn!
around this point in time the online ad business is still pretty low tech. you actually have to call a physical human being, they send you ppts and pdfs, you send back image files and excel sheets, you wire money, the ads run, and so on. this is called direct sales, and it's tracked again by counting a bunch of visitors, and telling you how much impressions and clicks your marvelous creatives and ad budget generated.
now enter google - or more precisely, a technology firm called doubleclick that was to be acquired by google. they developed a tool for automatic ad serving, later to be called programmatic advertising, that keeps the pesky sales dude out of the loop and achieves reasonable amounts of scale for a more hefty price - after all, if the sales are automated, you get a bidding war for attention between different advertisers, and you're paying for clicks.
so you can see how this was a strategic move for google - they already had the most valuable data available in this situation. they were seeing in real time what people were searching for, and using the programmatic ad serving system, you could effectively bid not just for general attention - but for attention with an intent to buy.
...and the way that google got this data is because they indexed the web, using bots. at least GoogleBot would identify itself as a site visitor, but in the meantime they developed a service for websites to comprehensively track their own visitors and where they were coming from and what they were doing on your website. incidentally, you could also put on google's ads on your webpage to earn quite a bit of money, as content relevant ads would be shown through the doubleclick system.
this kicked off two things:
one, the ability to classify your website visitors into different clusters and segments allowed businesses to start tailoring the appearance of the website or service to fit that specific audience segment, starting off the great fracture - segmentation of the web (in the sense that two people viewing the same website at the same time were not seeing the same thing)
two, it created a very strong financial incentive for people to trick google into thinking they were having actual human visitors that would click on ads, when in fact they were bots. in an even funnier twist, some of them were from browser hijackers, commonly known as malware at the time, which google cross-financed. look up download valley and crossrider.
at the cross section of the above two, you had one interesting twist: websites that would appear differently to the security bots or the compliance officers of Google as they would to fake visitors or malware jacked human beings. the former would get a benign looking website, while the latter would get bombarded with auto clicking ads.
this kicked off the billion dollar arms race called online advertising fraud.
I'm not here to shed a tear for big money corps bleeding money. the real fallout lay somewhere else, but for that you have to understand that you never really saw the real internet, you only saw your corner and the one that was personalized for you.
but if you ever had the pleasure of watching daytime TVs or off channels and witnessing the ads, you could kind of infer what kind of audience must be watching these shows generally. from quite clear rip offs to magic number lotteries and television fortune telling, these sorts of programming was aimed at the most gullible, bought for pennies, where the smallest audience portion had to be converted into a money making operation.
...and with audience segmentation and data gathering, that was now possible at unprecedented scale, automatically. so big was the scale in fact, that it gave birth to an entire new beast of an industry called affiliate marketing, where instead of a regular payroll, you'd get a cut of the sale should you figure out an angle on where to push whatever fucking bullshit the vendors were offering to whoever the fuck would be dumb enough to click on an ad and buy. (the funniest story I recall was someone pulling five figures a month because he figured out that if you buy ads on anime-hentai pages and sell PUA shit courses and e-books you'd make a killing)
at any rate, affiliate marketing brought with it the killer landing page, the thing that's supposed to hammer the nail in the coffin once you get through the banner ad. the earliest form of deceptiveness in memory comes from various pirate sites, that had fake download buttons as banner ads and virus alerts as the landing pages. but then at some point, some schmuck realized that for certain type of products, like diet pills or forex trading or whatever, the best lander is in fact a fake news page that comes packed with comments and all. that would convert like crazy, because it had the appearance of social proof.
until at least the lawsuits came raining down, and these sorts of landing pages and campaigns for being banned left right and centre on all platforms. which just launched a new arms race as the campaigns would be disguised for the bots doing the checkups, and aged facebook profiles would start selling for like 5K USD - these people were making 30-40k a day, they could afford to spend that much to continue running the shop.
speaking of facebook - it came just about the right time for the shit to brew max total. first they were unprecedented in the amount of data they were getting off of their users, and they came just in time to catch the full swing of what we call the 'responsive web' - that no user at the same time would see the same thing on their page, it was all allocated through an intricate web of recommendations, running real time, based on previously gathered and forecast behavioral data.
it also ran on one simple premise: take over the starting page position from google for most people, then they do not have to justify, ever, any ad spend that takes place on their platform, as long as it performs. furthermore, it was completely lacking any revenue share sort of scheme (save for the short period of facebook gaming, see Zynga), thus there was no incentive for the amount of bot traffic that the previous internet era had bred. instead, it came with an entirely different one - bots that would offer social proof in the way of shares and likes, but would not directly risk the business model, thus giving no incentive for facebook to fight them. (note that google didn't do much jack shit either besides indiscriminately penalizing websites it deemed suspicious when they reached critical payout thresholds)
the rest of the story you kind of sort of know. how the obama campaign was brilliant in using the new social media to inspire hope and blah blah blah, kicking the door open for big money politics who could hire the best snake oil salesmen in the market, who had the data and as you can see from the above, had the ethical standards of a shoe. at around 2014-2015 the press (the mainstream media) started to raise question about the duopoly, the buzzword of filter bubbles started appearing, not entirely unrelated to the fact that facebook by this time cannibalized their traffic with a fucking embedded share / like button and started charging money for them to reach their own audience. after 2016 the cries of fake news were everywhere, because there was no online space left which everyone was viewing the same way, and you had no way to verify what the person next to you was looking at.
since then, we've all become grandpa yelling at the television set, with nobody around us seeing what we're seeing on the screen, so we're being accused as bots and looking for bots under the carpet.
but it's been a long way coming, and the bots are honestly the least of our worries. trust me, I went bankrupt over that one. truth or fake doesn't even begin to describe the magnitude of the problem: more like we entered the phase where every word, event or picture is defined by who ever the fuck wins the auction over it, as the marketers of human attention grind the gears of the money mill without even understanding how fast they're digging towards hell.
don't believe me? look around the marketing and advertising related subs these days. the priests are eating the indulgences, and we're only now entering the period of deep fakes, good algo generated audio and good enough NLP. and in the meantime, the shadowrunners running up between two corp headquarter-highrises are skinning your belief systems.
so the best you can do is really, not litter the remnants of cyberspace which are not being mined, astroturfed or being pulled apart by the algos. no human connections on a nuclear trash heap mate.
submitted by gergo_v to sorceryofthespectacle [link] [comments]

How To Invest in Cryptocurrencies: The Ultimate Beginners Guide

All statements are based on the author’s experiences. I take pride in informing the public and helping as many as I can through sharing my experiences with my readers. That said, no one except you can take responsibility for your Cryptocurrency Investing decisions, so do think it through before investing.
If you would like to learn more about the techlogogy behind cryptocurrencies, please check out our blockchain courses on crypto.
When I first started taking an interest in cryptocurrency I thought I was so lost in this huge sea of unknowns. Where do I start? What are the useful keywords to look up and keep in mind? What are the available helpful resources? This cryptocurrency investing guide is written so that in just 20 minutes, you would have a sense of what to expect of your upcoming crypto journey, and how to best go about starting it. Enjoy it, it might just be the most exhilarating ride of your life.

Rise of the Cryptocurrencies
As the tech literacy of the population increases, acceptance of crypto as a legitimate store of value follows, and it boomed. Titles along the lines of ‘Bitcoin price hits new all-time high’ and ‘Ethereum price surges’ are starting to perforate the general public’s news feed. What we know for sure is that people who were once skeptical of Bitcoin and the technology behind it are slowly understanding and getting increasingly involved with crypto. As at the time of writing, the market cap of the entire crypto space is at 30.9 billion USD. It was 20 billion just four months ago. What would it be four months from now?
Current Makeup of the Cryptocurrency Space
You would have heard of Bitcoin and the ‘altcoins.’ How this naming convention started was because back in the days of 2011, forks of Bitcoin appeared in the markets. The forks, or clones, each aspire to serve a niche area, aiming to be ‘better’ than Bitcoin. Since then countless new crypto has emerged, eroding away Bitcoin’s crypto market cap dominance. These altcoins are gaining market share at an alarming speed. Ten times or more growth has been observed in a time span as short as six weeks (see PIVX, an altcoin).
Cryptocurrency, Stocks, and Fiat
The currencies we know are referred to as ‘fiat’ by the cryptocurrency community. Although having ‘currency’ in its name, cryptocurrencies share more similarities with stocks than currencies. When you purchase some cryptocurrency, you are in fact buying some tech stock, a part of the blockchain and a piece of the network.
Cryptocurrency Exchanges
The most common place where people buy and trade cryptocurrency is on the exchanges. Exchanges are places where you may buy and sell your crypto, using fiat. There are multiple measures to judge the reliability and quality of an exchange, such as liquidity, spread, fees, purchase and withdrawal limits, trading volume, security, insurance, user-friendliness. Out of all these, I find Coinbase as the best exchange hands down. It has a beginner-friendly user interface, and an unbeatable 100% crypto insurance.
After setting up an intermediary bank account and verifying your details with Coinbase, you are only five simple steps away from a Bitcoin purchase:
  1. Access the ‘Buy/Sell Bitcoin’ tab
  2. Select the payment method using the drop-down menu
  3. Enter the desired amount
  4. Click ‘Buy Bitcoin Instantly.’
  5. View your credited Bitcoins on your dashboard
When you get acquainted with buying crypto and start to itch for some crypto trading (e.g. BTC/ETH), simply perform an instant transfer from Coinbase to GDAX free of charge and start trading. Think of Coinbase as the place to conveniently buy and store your crypto and GDAX as your margin trading platform. Transfers between the two are instant and free.
As you slowly get familiar with other currencies, you might want to have the option of investing in them. Bittrex and Polo are two exchanges that offer a wide selection range.
When signing up on these exchanges for the first time, do make it a point to verify your account with the required documents early, as you do not want to be caught in the middle of some tedious and slow admin work when the trading opportunity comes. Verification on these exchanges may take days, and purchase/withdraw limits may only increase gradually as you trade.
An additional point to note: if you are using a currency other than USD, do check out the exchange’s ease of funding and withdrawal. You do not want your exchange to come into fiat withdrawal problems like Bitfinex did recently.
Cryptocurrency Wallets
Exchanges have inbuilt online wallets to keep the cryptocurrency you purchased. However, for those who heard of the Mt. Gox hack, you might feel uneasy to put on an exchange. If you do not wish to keep your crypto holdings on the exchange, you have the option to either use a paper wallet service like myetherwallet.com or spend 99 USD on a hardware wallet like KeepKey. Both serve the purpose of removing platform risk, at the cost of taking up the responsibility of keeping your cryptocurrency safe.
To transfer your crypto from exchanges to your hardware wallet for long term storage, simply follow these steps, using Coinbase and KeepKey as an example:
  1. Plug in your KeepKey USB cable
  2. Open your KeepKey Client (on Google Chrome under Apps)
  3. Find your wallet address on the KeepKey Client UI
  4. Access Coinbase ‘Send/Request’ tab and input your KeepKey wallet address
  5. Confirm amount and click ‘Send Funds’
Take note to first send a tiny amount (e.g. 0.0001 BTC) for testing before sending the bulk, lest an error occurred and the transfer amount is lost. A small network transfer fee might be charged.
Personally, I own a hardware wallet, as I love the feeling of a having around a tangible reminder of my crypto holdings. Also, the hardware wallet’s user interface makes it easy to keep multiple coins, which is especially handy when you participate in ICOs (Initial Coin Offering) in the future.

Cryptocurrency as a Percentage of Your Investment Portfolio

This part will be wildly subjective. Crypto has the potential to realize many ‘rags to riches’ stories, but its volatility makes it unpredictable. As a precaution, the money you put in crypto should be money that you are fine with losing. I cannot emphasize the importance of this as we often underestimate how the volatility affects our emotional capacities. The upside is huge, but it comes with lots of risks and, if I may put it, emotional torment.
A conservative portfolio I would suggest is as follows:
< 30 years old (max) 30% Crypto, 50% Traditional Investments
30 – 40 years old (max) 20% Crypto, 60% Traditional Investments
> 40 years old (max) 10% Crypto, 70% Traditional Investments
This is not meant to be age discriminatory but considers the fact that one takes up more financial responsibilities (mortgage, family) as he grows older.
Within the designated crypto share of your portfolio, you may diversify your coins based on your risk appetite.

Show Me the Money! Cryptocurrency Investing

Now, this is where it gets exciting.
How do we pick the winner? How do we avoid picking the loser?
Note that crypto is now in a huge bull market and anything could rise over time. Also, do not dismiss the possibility that we may be in a bubble like the-dot-com boom back in 2000. Still, ask yourself these questions before you decide to invest in a coin:
Short Term Trading with Margin
Once you get familiarized with crypto, you may want to trade on your ‘stash’ in hopes of increasing it. For the experienced forex traders, this is nothing new. But for the new crypto investor, you may want to brief up on how to make a leveraged trade.
Short-term trading takes advantages of incoming news to make a quick buck. If you foresee good news from an upcoming release of a coin, you may want to open a long and see how it goes. Remember, buy the rumor, sell the news; act fast and be daring if you wish to make a profit with short term trading.
Mining
For those who are more comfortable with a predictable form of reward, mining is the way. Mining involves setting up of a rig, consisting of GPUs or CPUs and an investment in the electricity. Mining is only possible on cryptocurrencies that follow the Proof of Work protocol. It takes some effort to setup and gets things running, but it is attractive as a long-term passive income as long as you frontload the work.
Staking
Staking is the Proof of Stake version of ‘mining.’ Think of this as making dividends on your stock. The reward rate and staking method differ greatly among Proof of Stake coins, but in general, it takes less effort as compared to mining.
Arbitraging
As you get a hand in multiple exchanges, you may wish to buy from one exchange and sell on another to make ‘arbitrage’ gains when you spot an arbitraging opportunity. Take note of two things if you wish to do so: remember to factor in fees, and remember that the price could change when you are transferring your coin between exchanges, especially during volatile times. USD tends to be liquid so this happens less for it, but for other currencies such as CAD (Canadian dollar) and SGD (Singapore dollar), there may exist more arbitraging opportunities to exploit.
That’s about all I have, for now, invest smart and most importantly, don’t forget to have fun!
submitted by alifkhalil469 to BtcNewz [link] [comments]

Here is All IN 1 Quick Guide for people with less time!

The Absolute Beginner’s Guide to Cryptocurrency Investing

References are made wherever possible. All statements are based on the author’s experiences. I take pride in informing the public and helping as many as I can through sharing my experiences with my readers. That said, no one except you can take responsibility for your Cryptocurrency Investing decisions, so do think it through before investing. If you would like to learn more about the techlogogy behind cryptocurrencies, please check out our blockchain courses on crypto.
When I first started taking an interest in cryptocurrency I thought I was so lost in this huge sea of unknowns. Where do I start? What are the useful keywords to look up and keep in mind? What are the available helpful resources? This cryptocurrency investing guide is written so that in just 20 minutes, you would have a sense of what to expect of your upcoming crypto journey, and how to best go about starting it. Enjoy it, it might just be the most exhilarating ride of your life.
Rise of the Cryptocurrencies
As the tech literacy of the population increases, acceptance of crypto as a legitimate store of value follows, and it boomed. Titles along the lines of ‘Bitcoin price hits new all-time high’ and ‘Ethereum price surges’ are starting to perforate the general public’s news feed. What we know for sure is that people who were once skeptical of Bitcoin and the technology behind it are slowly understanding and getting increasingly involved with crypto. As at the time of writing, the market cap of the entire crypto space is at 30.9 billion USD. It was 20 billion just four months ago. What would it be four months from now?
Current Makeup of the Cryptocurrency Space
You would have heard of Bitcoin and the ‘altcoins.’ How this naming convention started was because back in the days of 2011, forks of Bitcoin appeared in the markets. The forks, or clones, each aspire to serve a niche area, aiming to be ‘better’ than Bitcoin. Since then countless new crypto has emerged, eroding away Bitcoin’s crypto market cap dominance. These altcoins are gaining market share at an alarming speed. Ten times or more growth has been observed in a time span as short as six weeks (see PIVX, an altcoin).
Cryptocurrency, Stocks, and Fiat
The currencies we know are referred to as ‘fiat’ by the cryptocurrency community. Although having ‘currency’ in its name, cryptocurrencies share more similarities with stocks than currencies. When you purchase some cryptocurrency, you are in fact buying some tech stock, a part of the blockchain and a piece of the network.
Cryptocurrency Exchanges
The most common place where people buy and trade cryptocurrency is on the exchanges.Exchanges are places where you may buy and sell your crypto, using fiat. There are multiple measures to judge the reliability and quality of an exchange, such as liquidity, spread, fees, purchase and withdrawal limits, trading volume, security, insurance, user-friendliness. Out of all these, I find Coinbase as the best exchange hands down. It has a beginner-friendly user interface, and an unbeatable 100% crypto insurance.
After setting up an intermediary bank account and verifying your details with Coinbase, you are only five simple steps away from a Bitcoin purchase:
  1. Access the ‘Buy/Sell Bitcoin’ tab
  2. Select the payment method using the drop-down menu
  3. Enter the desired amount
  4. Click ‘Buy Bitcoin Instantly.’
  5. View your credited Bitcoins on your dashboard
When you get acquainted with buying crypto and start to itch for some crypto trading (e.g. BTC/ETH), simply perform an instant transfer from Coinbase to GDAX free of charge and start trading. Think of Coinbase as the place to conveniently buy and store your crypto and GDAX as your margin trading platform. Transfers between the two are instant and free.
As you slowly get familiar with other currencies, you might want to have the option of investing in them. Bittrex and Polo are two exchanges that offer a wide selection range.
When signing up on these exchanges for the first time, do make it a point to verify your account with the required documents early, as you do not want to be caught in the middle of some tedious and slow admin work when the trading opportunity comes. Verification on these exchanges may take days, and purchase/withdraw limits may only increase gradually as you trade.
An additional point to note: if you are using a currency other than USD, do check out the exchange’s ease of funding and withdrawal. You do not want your exchange to come into fiat withdrawal problems like Bitfinex did recently.
Cryptocurrency Wallets
Exchanges have inbuilt online wallets to keep the cryptocurrency you purchased. However, for those who heard of the Mt. Gox hack, you might feel uneasy to put on an exchange. If you do not wish to keep your crypto holdings on the exchange, you have the option to either use a paper wallet service like myetherwallet.com or spend 99 USD on a hardware wallet like KeepKey. Both serve the purpose of removing platform risk, at the cost of taking up the responsibility of keeping your cryptocurrency safe.
To transfer your crypto from exchanges to your hardware wallet for long term storage, simply follow these steps, using Coinbase and KeepKey as an example:
  1. Plug in your KeepKey USB cable
  2. Open your KeepKey Client (on Google Chrome under Apps)
  3. Find your wallet address on the KeepKey Client UI
  4. Access Coinbase ‘Send/Request’ tab and input your KeepKey wallet address
  5. Confirm amount and click ‘Send Funds’
Take note to first send a tiny amount (e.g. 0.0001 BTC) for testing before sending the bulk, lest an error occurred and the transfer amount is lost. A small network transfer fee might be charged.
Personally, I own a hardware wallet, as I love the feeling of a having around a tangible reminder of my crypto holdings. Also, the hardware wallet’s user interface makes it easy to keep multiple coins, which is especially handy when you participate in ICOs (Initial Coin Offering) in the future.

Cryptocurrency as a Percentage of Your Investment Portfolio

This part will be wildly subjective. Crypto has the potential to realize many ‘rags to riches’ stories, but its volatility makes it unpredictable. As a precaution, the money you put in crypto should be money that you are fine with losing. I cannot emphasize the importance of this as we often underestimate how the volatility affects our emotional capacities. The upside is huge, but it comes with lots of risks and, if I may put it, emotional torment.
A conservative portfolio I would suggest is as follows:
< 30 years old (max) 30% Crypto, 50% Traditional Investments
30 – 40 years old (max) 20% Crypto, 60% Traditional Investments
> 40 years old (max) 10% Crypto, 70% Traditional Investments
This is not meant to be age discriminatory but considers the fact that one takes up more financial responsibilities (mortgage, family) as he grows older.
Within the designated crypto share of your portfolio, you may diversify your coins based on your risk appetite.

Show Me the Money! Cryptocurrency Investing

Now, this is where it gets exciting.
How do we pick the winner? How do we avoid picking the loser?
Note that crypto is now in a huge bull market and anything could rise over time. Also, do not dismiss the possibility that we may be in a bubble like the-dot-com boom back in 2000. Still, ask yourself these questions before you decide to invest in a coin:
Short Term Trading with Margin
Once you get familiarized with crypto, you may want to trade on your ‘stash’ in hopes of increasing it. For the experienced forex traders, this is nothing new. But for the new crypto investor, you may want to brief up on how to make a leveraged trade.
Short-term trading takes advantages of incoming news to make a quick buck. If you foresee good news from an upcoming release of a coin, you may want to open a long and see how it goes. Remember, buy the rumor, sell the news; act fast and be daring if you wish to make a profit with short term trading.
Mining
For those who are more comfortable with a predictable form of reward, mining is the way. Mining involves setting up of a rig, consisting of GPUs or CPUs and an investment in the electricity. Mining is only possible on cryptocurrencies that follow the Proof of Work protocol. It takes some effort to setup and gets things running, but it is attractive as a long-term passive income as long as you frontload the work.
Staking
Staking is the Proof of Stake version of ‘mining.’ Think of this as making dividends on your stock. The reward rate and staking method differ greatly among Proof of Stake coins, but in general, it takes less effort as compared to mining.
Arbitraging
As you get a hand in multiple exchanges, you may wish to buy from one exchange and sell on another to make ‘arbitrage’ gains when you spot an arbitraging opportunity. Take note of two things if you wish to do so: remember to factor in fees, and remember that the price could change when you are transferring your coin between exchanges, especially during volatile times. USD tends to be liquid so this happens less for it, but for other currencies such as CAD (Canadian dollar) and SGD (Singapore dollar), there may exist more arbitraging opportunities to exploit.

Link the original blog post: https://blockgeeks.com/cryptocurrency-investing/
submitted by Tokenberry to NewbieZone [link] [comments]

1broker copy guide - avoiding extreme losses

First off, let me state that I am not even close to a professional when it comes to trading. I got in a few months ago for passive income from copying 3.14fx and have come a long way since then, quadrupling my initial investment and losing half of it. I've watched traders such as cfdtrader, Lumyo, Robot, and crypto_chris lose several hundred percent after a fail from opening multiple positions. I got into 1broker to make money without monitoring it, but instead I learned a lot about trading and risk management, even profiting off several of my own trades. It's a valuable experience in itself even if you're not profiting and I wouldn't give it up for anything. If these losses are enough to make you quit, so be it. Investing comes with risks that some people can't handle. It's not free money.
https://www.dailyfx.com/calendar is the economic calendar that I use while trading. High importance events can easily trigger a 80% loss or gain depending on the direction you choose. It's highly risky to trade when someone of great importance such as Draghi or Yellen are speaking.
Even if you follow a general MAX 5% rule, you will still lose up to 16% of your account if somebody opens 4 of the same positions and they stop at 80%. Making back money is also tougher than losing it, as once you lose 16% of your account, 5% of your account is a lot less than before. Therefore, you have less capital per trade.
Also, be careful when changing your copy amount. I often see copiers saying things like "Great work, I'm upping my copy amount" and "Increased copy amount from x to x". In my opinion, increasing a copy amount should only be done when your initial amount is already low. Losses on a higher copy amount may wipe out the gains on a smaller copy amount. (-50% loss with 0.1 btc = +100% gains with 0.05 btc) Always stick to a 5% max rule unless you're feeling risky.
Then, there comes the gambling/greed phase that many new copiers often do. (Guilty of this myself). After extreme success, a copier may feel the need to upgrade their copy reward to maximize profit. Or after extreme failure, a copier may feel they need to upgrade their copy reward to make up for losses. All of these are mistakes.
1broker is not filled with market professionals. Most of us here are either self taught or complete novices. Professionals would not be sharing their trades for about $70-80 for each trade (at best). They won't be asking for copiers on other traders' profiles. They won't be using a Pikachu as their profile picture. They won't be using a broker that isn't heavily regulated and insured. They would be using their own capital to make millions off of trades.
Remember, any newbie can easily accumulate winning trades by gambling with high leverage. As long as they have around $1300 as of now, they can easily create a profile that suggests that they are a professional, when in reality they are entering at random points and exiting when a position turns into profit, rather than using technical analysis and watching economic calendars.
And even the best of traders will have their ups and downs. I've stuck with 3.14FX even when he reached -100% this month because he's had a great history on this site. I feel that he can make the money that he loses back. And even though he has doubled up on a position yesterday (not sure why, probably was extremely confident), it was a success.
Can you really trust anyone? No way! Unlike regular trading, 1broker is more unregulated. Signing up requires no personal information so any user with malicious intent can build up a steady reputation and perform an exit scam (or have a massive failure) without any reparations. Robot has no link to any social media or anything in his profile. For all we know, he could own another account that has -100%, and he is depending on luck while opening multiple positions to accumulate followers. (I just used Robot as an example, my intent is not to accuse him of multiple accounts)
Then there are potential exit scams (from a trader, not 1broker itself) that will drain a decent portion of your account. There's a reason why you have a choice to choose how many trades maximum you can copy per day. This hasn't happened yet, but it will definitely happen in the foreseeable future. Somebody will set up an order for 50 shorts and 50 longs and set the take profit and stop loss the opposite of each other. Then after closing, they'll withdraw their bitcoin never to be heard of again.
When you put your trust in a trader, you should trust them to carefully monitor a trade. Unfortunately, there's currently no way to tell if your copied trader is online or not, so you'll never know if they're in a coma and won't be back for another 6 months. My suggestion is to either take profit when you think that the conditions are correct or just trust the trader. Nobody can see the future. If you think that you'll rather close the trade before the weekend, it's your choice. If you think upcoming news will destroy the trade, feel free to close early. However, be prepared for regret if it goes up, or a great feeling that you dodged a bullet if it goes down. It's all a part of trading.
1broker's copy system is seriously flawed at the moment. Of course, there's no easy way to fix it. Why would a great trader want to share one of their trades if they're not getting much out of it? This encourages opening multiple positions to maximize copy rewards, which can result in massive losses. Robot is one of the traders exploiting this.
So how can you prevent massive losses? There's really no way. You're putting your trust in random people without an identity, who can easily be a scammer. When it comes to people like Robot, I put 1-2% of my funds because I know that he opens multiple positions. This is why I'm always sticking with 3.14FX, he established himself a long time ago and he knows what he is doing. Somebody who has been on the platform for over 3 years with several losses is preferable to an anonymous newcomer who just registered but appears to be good at trading.
Also, the percentage on 1broker is misleading. You may think "Wow, I'm going to get an 500% of my initial investment if I copy Lumyo!" In reality, you should only be using 5% max of your capital per trade. If you copied him from the beginning (I started copying at around 90%), you should have only gained 25% rather than 500%. But still, 25% of your initial investment is huge.

My opinion on several traders

vits2015: If you watched vits2015 from the beginning, you would know that their style of trading is... off. 15 positions on UK100, all short, some of them at -30% when I first saw him as a successful trader. What does that tell me about him? He can open up to 6 positions on the same trade at once, and is willing to hold them as long as possible to get a profit. (Average holding time 8 days)
gtfann: Even with recent losses, he still appears to be a decent trader. It seems that he upped his usual leverage due to the crowds of traders flocking to copy him though. Multiple positions with a lower leverage isn't really something that I like either, but I'm sticking with him for now until there's a drastic change.
vaiono: He lets his losses play out and even though he has a decent track record,it's still risky to play with. Silver is extremely volatile and due to leverage, a small move in any direction can either be a huge loss or huge gain.
Snortex: Pretty much a meme on 1broker. He acknowledges his trading style and warns his copiers. I like him as a person due to his warnings, but still wouldn't recommend copying him unless you can afford to lose a lot. Edit: After examination of his trades, I feel like he's not only gambling like his description suggests. His entries are planned out carefully (Although that has hurt him when there was a flash crash). You'll take several 80% losses but you may take several 400% gains. He seems to have a habit of chasing a trade, which can lead to multiple 80% losses. However, once the trend reverses, his profits go through the roof. When you're copying, copy for the long term! Of course, feel free to uncopy if you feel that the bottom is still far away.
noIDea: He has had bad stretches in the past, but still makes his way back. I think he's a good trader and even though he opens multiple positions, he's one of the best at setting stop losses so the risk is not as high as others who open multiple trades.
Gold_Gangsta: Name change from Crypto Chris for some reason? Be wary of multiple positions as the USDJPY fiasco shows. Seems to be doing fairly well with gold as of now.
1monk2: Multiple positions fairly often, even says that he's drunk in the description. This is gambling.
knightlife999: The description definitely shows promise. There is no proof to those claims on the site, but I feel it's safe to allocate some of your funds toward copying him with his track record.
HedgeCryFx Risk 5: Decent trader, pays attention to economic calendar as well. The only problem is that he lets losses play out to 80%
boogi: I would be wary about the higher losses, but then again, there's a good track record.
sergiomc: Seems to be decent at trading stocks. With an average holding time of 14 days and leverage of 10, you should be expecting to lose about ~3.92% of your gains to financing, which is not actually that much.
Cool Hand Luke: Low leverage trading. If you were to copy him, I would recommend only using 1% or 2% of your account max per trade if you plan on copying others as well. He's a great trader for slow steady gains, but if you're looking to get rich fast or go broke trying, this is not the guy for you.
eylemc: Quick trades with minimal profit and no losses so far. As of now, it may be too early to judge, but I think that he's somebody that might be worth copying. Edit: Seems to let losses play out to 80%. Be wary.
3.14fx: Back in the game, doing well with stocks and USDJPY recently. High leverage, but usually stops losses within a reasonable range.
SunnyNet: Small gains, huge losses. Be wary as your first copied trade could easily be a -80%.
SatoshiReport: Trading using a neural network, after looking deep into the trade history, I'm not so sure about it. Correct me if I am wrong, but the bot doesn't take into account important news and events. Edit: This bot has too many flaws to continue copying in my opinion. Even with the previous gains, it opens the same position as soon as one closes, negating the 33% stop loss AND forcing a loss due to the spread. The only thing that keeps it out of the negative is the rare 80% gains that you might find once in a while.
CryptoMessiah: The image being shown on his twitter has weird numbers on it (USDJPY at 100-103 in the matter of minutes), I think it's a simulator so it isn't actually "proved". Also, asking people to copy for "free money" is misleading as anything can go wrong in the forex market, there is no guaranteed money. I copied with a minimum 0.001 btc and will update this post if the bot proves to be successful. Edit: Tons of losses trying to get the right direction and then huge wins. I would say it's ok, but you're better off with a human capitalizing on gains. The only advantage to this bot is 24/7 hour trading.
kosanet: His description says it all. Be careful while copying, but don't be discouraged to place an amount you can afford to lose. He seems to have a great history of monitoring losses (positions never get below 20%) but it's still a new profile who clearly states that he's not a pro. May open multiple trades and trading with USDJPY a lot. His scalping strategy means that overnight fees won't be an issue. Edit: Now he's starting to be a little more risky with his trades as more copiers arrive. Be careful, he never reached liquidation at 80% yet but he could at any moment.
google: A bit late to the party, but what can I say? I honestly can't believe he accumulated 190 copiers but he seems to have faded out quickly. Golgo13 is having a fun time on all of his trades
KillerWhale: Extremely high risk with all of those multiple positions. Like google and robot, don't be fooled by performance recently and look through their whole account. People who saw the 220% recently may have missed when he was in -475% a few days ago.
SoontobeWW3: Great trader in my opinion. However, I think emotion plays a role in his trading as every huge loss is often followed by more.
APPoh: Seems to know what he's doing. However, there is a very short trading history and we're never sure. Positions can reach 50% without closing, so it's very possible that he might let losses play out to 80%.
dingo: Not much to say. Good with 1 position at a time, and even with the 80% loss last month, still ended in profit. Be careful as he might sometimes not stop a position and instead wait for it to recover and a 80% loss is huge compared to his gains.
Edit August 12: Will stop adding new traders now. Before copying someone, remember:
  1. Check their trading history, ALL OF IT. You're entrusting them with your money, you should be 100% sure.
  2. Wait until they've established themselves. Sure, you can be frustrated about potentially losing 200% profit, but it sure beats 700% losses.
I already expressed my views on Robot and 3.14FX above. Lumyo is currently inactive.
Last tip: Don't uncopy people if you feel like they can make it back. If you choose to copy someone, you're in it for the long run. Now this may contradict some of my earlier statements, but if you have somebody that you believe in, don't uncopy them after a loss. Eventually, they will make their way back up and after you see their success again, you'll be tempted to copy again. Of course, if you are copying somebody who you have no faith in, feel free to drop them. Cutting your losses short is important to learn in trading.
submitted by FCatarina to 1Broker [link] [comments]

Check out our most recent Q&A from Biggie Paul discussing the latest at trade.io

We conduct regular Q&A sessions on our official Telegram channel. Join us to ask questions and get the latest news and updates from trade.io.
Telegram: https://t.me/TradeToken
First off, on behalf of management we appreciate everyone's patience while we roll out the exchange. While crypto is very complex and has lent to some delays, and things not moving as fast as we, or the community wants, we want to let everyone know we are doing everything we can to "speed" things up.

Q : Can I transfer BTC directly, from Bitforex (yes, that scam, I just dumped a wreck train I held) to trade.io? Because I have Mew, but Mew cant store BTC.
A : We are actually adding to our dev team and adding experienced blockchain people that have worked on exchanges before, which are very far and few between. Additionally, we've added to the marketing team, and are revisiting the way we approach the social outlets like Twitter, to ensure its much more accommodating and interactive.

Q : When will the LP (liquidity pool) and exchange fully launch?
A: As we said LP wouldn't happen less than a month after exchange launch. This was said to manage expectations. Realistically though, based on the volume currently on the exchange which is very little, it only makes sense to open the LP up once there is some substantial revenue coming through so LP participants aren't sharing pennies. We expect once the exchange is up and running fully, revenue to come. You combine that with the OTC revenue (deals are already being lined up), consulting revenue, etc. the overall LP revenue should then be decent. There are other "goodies" that are being finalized now to increase utility of TIO i..e adding to revenue for LP, that will also help out sooner rather than later.

Sine the Q&A, the liquidity pool release date has be set to 9th October and the exchnage is open for all.

Q: How much volume are we expecting so that the LP runs smoothly?
A: It's impossible to say, but assuming their figures are "real" you could probably benchmark us against similar exchanges on CMC and look at their volumes. One thing though that's important to mention is that we've already started work on margin trading and if you look at Bitmex, which flies under the radar, the margin component really enhances volumes for obvious reasons.

Q: What's the progress with the Fortune 500 company mentioned?
A: Yes, management is aware that JPM mentioned something like this during the Cyprus expo. For obvious reasons we really can't go into that too much, and in hindsight I think JPM would have kept that "closer to the vest." With that said, however, management is in talks with quite a few different companies, as our exposure is growing and companies appreciate the way we're approaching the exchange from a regulatory standpoint...i.e. not running from it, but rather running to it.

Q: Any profit (however small), will be saved for the LP? 50% of it, that is
A: Yes, consulting profits, profits from any JV's, etc. will be "saved" and accrued for release once LP starts.

Q: Hey Paul, do you have any information about when restricted countries will have access? For example, any info about Croatia?
A: TIOnauts to be clear the following countries (areas) are part of the OFAC list which will not be able to trade with trade.io. Please take note of the Balkan Islands:

Balkans (Serbia, Albania, Bosnia, Croatia, Macedonia, including Kosovo)
Burundi
Central African Republic
Crimea
Cuba*
Democratic Republic of the Congo
Iran*
Iraq
Lebanon
Libya
North Korea*
Somalia
Sudan*
Syria*
Yemen
Zimbabwe

Q: When will we see improvements in your KYC process? I expected to see online forms, digital signature processes, video verification etc. .
A: As mentioned the other day, this week devs will be removing the need to verify if you're withdrawing less than 2 BTC equivalent in a 24 hour period. Going forward, there will be no need to print and sign anything, it will all be done electronically. In terms of video verification, honestly speaking, I'm not sure how scalable that is given the sheer number of people that trade crypto. Could you point to any other exchanges with large volumes that conduct video verification?

Q: I know that the exchange was properly stress tested. In that context do we know what is the max volume TIO exchange can handle at the moment?
A: Last figures I heard were given the infra as is now, high 6 figure orders per second, which is very robust and will tie us over for quite some time, if this is the benchmark right now.

Q: The team is saying everything I want to hear right now as far as I'm concerned! This is an awesome project, the crypto industry is moving fast and we are all a part of it.
A: Thank you, but saying is different than doing....its very important that we execute in a timely manner, otherwise it's just "lip service." Management is modifying the way somethings are being done internally to ensure that TIOnauts are getting a more timely delivery of all the great things that have been told to them.

Q: Withdrawal of less than 2 btc will be available for a limited amount of time or permanent?
A: Permanent.

Q: Croatia is separate country in EU, what is stopping you from supporting KYC from there?
A: We don't create the OFAC list, until Croatia is removed, our hands are tied.

Q: Bitpanda. If something's hard to do, that doesn't mean it's not worth doing - I'm sure you clever people can make it scalable. KYC is usually the first point of contact with an exchange - the more fluid and easy the process is, the better.
A: Noted, and agreed, it's not about being "hard" it's about being scalable. Will 100% look into adding something like this, but need to check with regulators first to see if this is allowable.

Q: When is the mobile layout up as a predefined template so everyone can use the exchange while waiting an app version?
A: We're working on a completely separate layout for mobile as you mentioned. Explain what you mean regarding a predefined template for mobile? You mean a layout that's more friendly for mobile based on the exchange as is now?

Q: Gm Paul, tks for AMA. Questions: 1) Are revenues from Angel Investor program also going to LP? I guess it does but haven’t seen stated yet.
2) When should we expect a matching engine to be more consistent and pick up on volume because right now it works sometimes and at really low volumes.
A: 1) Yes, Angel Investor is tied into the Consulting program.
2) What do you mean by "matching engine to be more consistent"?

Q: Maybe much better if we have mobile apps to download
A: Correct, and that development has started.

Q: 1)Tks.
2) I see that bots are working right now, looking at trading history each trade is really low volume, only 0.00xx units and not every time.
A: Yes, good observation, we have bots generating tiny trades for the sake of creating charts...otherwise, based on volume by "real" clients, the charts would look pretty bad. We're keeping the volume small, so when we turn over to CMC, we're now skewing volume with bots...much like BitForex got caught doing.
Bots are not 100% flawless unfortunately like actual trading, so unfortunately need to grin and bear this for the near term, until we can turn the bots off, and rely on real people trading which that way it should work.

Q: What's the planned improvements on marketing and social presence you mentioned earlier ?
A: Once exchange is open to everyone, only then will API be available, as agreed, that's when the bigger traders will come knocking.

Q: Ok thanks for the explanation, I thought that was matching engines at work as sometimes it does hit on real orders, but mostly are in fact done at px between real orders.
A: No, many of those tiny orders are the bots, again, without them the charts would look like big blobs.

Q: While I sent in KYC I had the moon theme and the file names were almost unreadable.
In the other themes it was fine but the colour of the filenames needs to be adjusted for the moon theme.
A: Yes, this was brought up in previous chats, we'll see to it this is fixed. We shouldn't expect you to upload docs if you can't see what needs to be uploaded.

Q: It was after session timeout and re-login..
A: They've been trying multiple things, glad to hear it may be fixed.

Q: 25k already seem pretty low!
A: Yes, in this space it is, but we want to get traction more importantly and start generating rev for the lp. Will def be increased, as we expect very heavy flow based on initial indications.

Q: 25 is the minimum though? So many will be higher...
A: Yes, we're already working out high 6 figure deals already through our dealers relationships.
submitted by tradeio to TradeIOICO [link] [comments]

90 Day Update / Beginner's Post

Hey all, First time poster, long time lurker. Just learning until I think of useful/interesting post. I just finished Babypips school. No this isn’t another, “What do I do next?!” eager to consume posts. More just introducing myself and share methods as I progress and chat more in this sub. It’s been a super helpful research tool with just the sidebar alone, but the interactions are also generally positive and research engaged. Forex was on my list of active/sidehobby/internet ideas to try. (Along with selling on Ebay and learning/teaching languages) I’ve always been into stocks/finance and I’m open still open to continuing learning past forex into futures and/or cryptocurrency. Forex to me is kind of an intro to price action and charts for me. Also the physics of it all that I’m hoping to apply more as time goes on. Anyways , started forex 2 years ago. Saw I needed disposable income you could lose (which I didnt have at the time) and put it off. Now I’m about 3 months in with my rediscovery of it with a lot more financial cushion/discipline.I finished the babypips school and try to practice 25-45 mins a day of something forex related the last 90 days or so. Here is my routine and some things I”ve learned since starting.
Demo Trading is overrated. And then it becomes the best thing ever. I’m gunna just go out and say it. IF you’re trading for 9 months on demo you should’ve stopped 8 months ago. I mean don’t get me wrong 9 months, that shows alot of persistence in your habits, but you’re spending time on a variable that doesn’t exchange certainty in the real system. I only even say this because you could be like me. Trade demo all this time then find out the leverage you wanted isn’t even available in your country. (U.S here) So I felt like a dummy from the jump, but that’s part of the learning curve you should be doing sooner rather than later. This does not mean fund your account fully. No, put just $200. I trade with my initial capitol @ $200 and I won’t add a penny more until I’ve developed a profitable system with what’s already in there. A good investment is a good investment and throwing more money doesn’t actually add value to the growth return on your investment.(In most cases) So what’s the big deal with Demo? Well for one you want to work with a system that’s tangible in your country. U.S is capped at 1:50 leverage. I don’t know other countries regulations but it’s something I wish someone told me to look out for before I started testing financial strategies. Another thing is the spreads are often very different from what you find in demo (attention scalpers out there) sometimes dramatically. (After NY close of the day /Weekends ) You have to implement all of these factors to your strategy. Now what is demo good for? Starting out! Learning how to set indicators, trades, stop losses and so on. I’d say 60 days max if you can’t donate much time. Even less than 60 days if you have more free time but then after that it’s time to get your feet wet. One other good thing about demo accounts is that it allows you to practice fundamentally different trading ideas out before trying them out on your actual account. An example would be a scalper trying a new position strategy he learned in demo to set some long term positions next year. I enjoy trading because it’s a discipline on your anxiety. When you deposit your first amount, any amount that's more than a new video game or dvd collection, your brain is going to fire off “Hey you bought something new that can make money let’s test it out! It could be making you money” You have to calm this voice first. IF you even can. This voice makes you check the charts 3x more than you did in demo and caused at least me to trade just so the money’s not going to waste. I lost 40% of my account the first week. I would’ve called myself mentally stable before this too. But that voice broke me and you have to confront it because it’s the impatience in all of us and causes you to force your view of the markets to fit your system. Demo is a great tool but shouldnt be held on longer than it’s purpose.
Immersion This is going to be a little shorter than my last topic because this is more something everyone has to find and listen to. Don’t just study the same website or forum for forex everyday. Try to get a wide view of the financial markets as a whole and various media input. Subscribe to a couple good youtube channels maybe a visual representation of what you’ve been learning could help solidify it. Maybe a podcasts personality makes your brain react differently to topics where a bland textbook reading didnt excite you the same. Watch a documentary on trading one week and hell maybe even Wolf of Wall Street another week, whatever it is that gets your whole body involved in the feeling of trading so 1) you don’t get burned out on the topic and 2) you find more ways to connect with the information you find. Whether emotional or visually. Here are two recommendations of channels that help me break the norm of my study routine:
“Two Blokes Trading” Podcast I discovered these guys a while back in a comment thread. I would recommend this podcast to beginners because you can start from the very beginning of their series and learn with them. They’re young, enthusiastic and open to exploring alot of areas to trading and different philosophies. So sometimes you can find gems in subjects you didn’t expect to encounter. They also bring in advisors and brokerage managers to feature on their subjects. And it’s not all forex focused. Check them out: http://twoblokestrading.com/podcast-episodes/
Barry Burns “Top Dog Trading” Barry Burns I like because you have him walking you through the charts on youtube. One of the few videos I watched on Price action were by him where the lightbulb went off. He offers a great free resource and sometimes I even feel guilty getting it on youtube for free before sharing it because it feels like the things he touches on and how he explains them, even paid classes probably couldn’t get right. He has so many videos on different markets and how to read them just apply them to the type of trader you are. https://www.youtube.com/channel/UCcjyImdSWDTCGCa7G24faIQ
Routine ( final topic on this post) So every week I try to keep a basic routine of forex and ways to practice. I try to wake up early as I’m on the Pacific Coast so I get up 2 hours early before I have to head to work. 20-30 mins of this time I do something related to forex education. The rest of the time I gather my foundation for the week and arrange goals / meditate/ journal. I’ll look at the charts, when I still had Babypips to finish I’d set a time and study through what I could of the course through that time. Now that I’m finished I’ll either check this sub, watch a video/podcast or try to read something related fundamentally to trading or finance. (I’d like to get some more book ideas about trading and it’s psychology) So that’s one habit. You’ve got to be able to at least schedule 20-45 minutes a day to consistent study + practice time to acquire new skills. 20 minutes uninterrupted is enough. Wake up early if you have to. Then throughout the day you’ll find time to reflect or research more and soon the time will start to add up. This also works on the other extreme too. If you have alot of free time I’d say starting out 1 hour to 2 hours max is what you should dedicate to studying. Forex is a very mentally fatiguing process skill. You’ve got to let your brain recharge (need those MP potions it seems) the whole currency system is heavy and complex enough that starting from scratch you couldn’t learn everything in 24 hours straight. I’d say even a week straight wouldn’t work. It takes time and a habitual familiarity. It’s not dissimilar to learning a language. Where concepts become stacked on a foundation of understanding to be acted upon through your day to day. Even if you can name all the working parts, experience build with how much time you think in that language per day. There’s a reason I chose the word “Immersion” for my second topic. Moving along. Another part of my routine is backtesting 40-50 trades a week of my strongest system. This equates to a little under 10 trades a day. I completely journal and track profits like they were live. Some suggest using a simulator, while that is a great practice for timing entries, I’ve found just using the Metatrader 4 Desktop and using the F12 key to progress forward one tick at a time has been sufficient for my backtesting needs. Backtesting gives you an opportunity to practice way more trades in a week than live session will be able to provide. I’m using M15 - H1 intraday strategies and maybe pull off 5-6 trades a week. BUT I practice 10x that amount per week. Soon you’ll find your live performance is really only a display of how your last week backtesting went. It’s like football practice for the gameday. Now which system I test varies, like I said I’ll try my strongest, but that changes. Just grab any system you think you can pull off and backtest it. Babypips gave me my first few, then I created some ridiculous ones, but over time your experience of a system and how to get them to work for you grows by running test trades. Systems I’ve found and backtested that are online are: the “So Easy It’s Ridiculous” system and the Cowabunga System, both found on babypips and a simple google search. Easy. I know, and really a system is just supposed to make having trading decisions easier for you. But your participation and exit are equally important. Can you follow easy rules you or others make? No questions asked?
So that concludes my post. I hope in the future when I’ve backtested 1,000 trades I can post some of my personal systems I’ve followed, right now they feel to amateur to even share. I am the humble fool, so any ideas on my style or feedback on where I should head are greatly appreciated. I’m open to questions and dialogue so feel free to send a PM or comment. Hearing from other traders is the reason I even started this account to post and interact. This post and future ones I have planned are kind of a new element I wanted to try of journaling that allows me some social accountability and feedback from a community rather than all my entries being hoarded in my notebooks, so my apologies if it’s more wordy than usual on here. Thanks everyone and have fun!
-AP
TL:DR Just browse over the bold sections
submitted by AzathothsPips to Forex [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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