Market Depth Definition - Investopedia

My First Year of Trading

So here it is, three more days and October begins, which marks one year of trading for me. I figured I would contribute to the forum and share some of my experience, a little about me, and what I've learned so far. Whoever wants to listen, that's great. This might get long so buckle up..
Three years ago, I was visiting Toronto. I don't get out much, but my roommate at the time travels there occasionally. He asked everyone at our place if we wanted to come along for a weekend. My roommate has an uncle that lives there and we didn't have to worry about a hotel because his uncle owns a small house that's unlived in which we could stay at. I was the only one to go with. Anyways, we walk around the city, seeing the sights and whatnot.
My friend says to me "where next?"
"I don't know, you're the tour guide"
"We can go check out Bay Street"
"what's 'Bay Street?'"
"It's like the Canadian Wall street! If you haven't seen it you gotta see it!"
Walking along Bay, I admire all the nice buildings and architecture, everything seems larger than life to me. I love things like that. The huge granite facades with intricate designs and towering pillars to make you think, How the fuck did they make that? My attention pivots to a man walking on the sidewalk opposite us. His gait stood out among everyone, he walked with such a purpose.. He laughed into the cell phone to his ear. In the elbow-shoving city environment, he moved with a stride that exuded a power which not only commanded respect, but assumed it. I bet HE can get a text back, hell he's probably got girls waiting on him. This dude was dressed to kill, a navy suit that you could just tell from across the street was way out of my budget, it was a nice fucking suit. I want that. His life, across the street, seemed a world a way from my own. I've worn a suit maybe twice in my life. For my first communion, it was too big for me, I was eleven or whatever so who gives a shit, right? I'm positive I looked ridiculous. The other time? I can't remember.
I want that. I want the suit. I want the wealth, the independence. I want the respect and power, and I don't give a shit what anyone thinks about it.
Cue self doubt.
Well, He's probably some rich banker's son. That's a world you're born into. I don't know shit about it. \sigh* keep walking..*

A year later, I'm visiting my parents at their house, they live an hour away from my place. My dad is back from Tennessee, his engineering job was laying people off and he got canned... Or he saw the end was near and just left... I don't know, hard to pay attention to the guy honestly because he kind of just drones on and on. ("Wait, so your mom lives in Michigan, but your dad moved to Tennessee... for a job?" Yea man, I don't fucking know, not going to touch on that one.) The whole project was a shit show that was doomed to never get done, the way he tells it. And he's obviously jaded from multiple similar experiences at other life-sucking engineer jobs. My mom is a retired nurse practitioner who no longer works because of her illness. I ask him what he's doing for work now and he tells me he trades stocks from home. I didn't even know you could do that. I didn't know "trading" was a thing. I thought you just invest and hope for the best.
"Oh that's cool, how much money do you need to do that?"
"Ehh, most say you need at least $25,000 as a minimum"
"Oh... guess I can't do that..."
Six months later, I get a call and it's my dad. We talk a little about whatever. Off topic, he starts asking if I'm happy doing what I'm doing (I was a painter, commercial and residential) I tell him yes but it's kind of a pain in the ass and I don't see it as a long term thing. Then he gets around to asking if I'd like to come work with him. He basically pitches it to me. I'm not one to be sold on something, I'm always skeptical. So I ask all the questions that any rational person would ask and he just swats them away with reassuring phrases. He was real confident about it. But basically he says for this to work, I have to quit my job and move back home so he can teach me how to trade and be by my side so I don't do anything stupid. "My Name , you can make so much money." I say that I can't raise the $25,000 because I'm not far above just living paycheck to paycheck. "I can help you out with that." Wow, okay, well... let me think about it.
My "maybe" very soon turned into a "definitely." So over the next six months, I continue to work my day job painting, and I try to save up what I could for the transition (it wasn't a whole lot, I sucked at saving. I was great at spending though!). My dad gives me a book on day trading (which I will mention later) and I teach myself what I can about the stock market using Investopedia. Also in the meantime, my dad sends me encouraging emails. He tells me to think of an annual income I would like to make as a trader, and used "more than $100,000 but less than a million" as a guideline. He tells me about stocks that he traded that day or just ones that moved and describes the basic price action and the prices to buy and sell at. Basically saying "if you bought X amount of shares here and sold it at X price here, you could make a quick 500 bucks!" I then use a trading sim to trade those symbols and try to emulate what he says. Piece of cake. ;)
Wow, that's way more than what I make in a day.
He tells me not to tell anyone about my trading because most people just think it's gambling. "Don't tell your Mom either." He says most people who try this fail because they don't know how to stop out and take a loss. He talks about how every day he was in a popular chatroom, some noob would say something like, "Hey guys, I bought at X price (high of day or thereabout), my account is down 80% .. uhh I'm waiting for it to come back to my entry price.. what do I do??"
Well shit, I'm not that fucking dumb. If that's all it takes to make it is to buy low, sell high, and always respect a stop then I'll be fantastic.
By the end of September, I was very determined. I had been looking forward everyday to quitting my painting job because while it used to be something I loved, it was just sucking the life out of me at this point. Especially working commercial, you just get worked like a dog. I wasn't living up to my potential with that job and I felt awful for it every minute of every day. I knew that I needed a job where I could use my brain instead of slaving my body to fulfill someone else's dream. "Someone's gotta put gas in the boss's boat" That's a line my buddy once said that he probably doesn't know sticks with me to this day.
It ain't me.
So now it was October 2018, and I'm back living with Mom n' Pops. I was so determined that on my last day of work I gave away all of my painting tools to my buddy like, "here, I don't need this shit." Moving out of my rental was easy because I don't own much, 'can't take it with ya.' Excited for the future I now spend my days bundled up in winter wear in the cold air of our hoarder-like basement with a space heater at my feet. My laptop connected to a TV monitor, I'm looking at stocks next to my dad and his screens in his cluttered corner. Our Trading Dungeon. I don't trade any money, (I wasn't aware of any real-time sim programs) I just watch and learn from my dad. Now you've got to keep in mind, and look at a chart of the S&P, this is right at the beginning of Oct '18, I came in right at the market top. Right at the start of the shit-show. For the next three or four weeks, I watch my dad pretty much scratch on every trade, taking small loss after small loss, and cursing under his breath at the screen.
Click.
"dammit."
Click.
"shit."
Click. Click.
"you fuck."
Click.
This gets really fucking annoying as time goes on, for weeks, and I get this attitude like ugh, just let me do it. I'll make us some fucking money. So I convince him to let me start trading live. I didn't know anything about brokers so I set up an account using his broker, which was Fidelity. It was a pain and I had to jump through a lot of hoops to be able to day trade with this broker. I actually had to make a joint account with my dad as I couldn't get approved for margin because my credit score is shit (never owned a credit card) and my net worth, not much. Anyways, they straight up discourage day trading and I get all kinds of warning messages with big red letters that made me shit myself like oooaaahhh what the fuck did I do now. Did I forget to close a position?? Did I fat finger an order? Am I now in debt for thousands of dollars to Fidelity?? They're going to come after me like they came after Madoff. Even after you are approved for PDT you still get these warning messages in your account. Some would say if I didn't comply with "whatever rule" they'd even suspend my account for 60 days. It was ridiculous, hard to describe because it doesn't make sense, and it took the support guy on the phone a good 20 minutes to explain it to me. Basically I got the answer "yea it's all good, you did nothing wrong. As long as you have the cash in your account to cover whatever the trade balance was" So I just kept getting these warnings that I had to ignore everyday. I hate Fidelity.
My fist day trading, I made a few so-so trades and then I got impatient. I saw YECO breaking out and I chased, soon realized I chased, so I got out. -$500. Shit, I have to make that back, I don't want my dad to see this. Got back in. Shit. -$400. So my first day trading, I lost $900. My dumbass was using market orders so that sure didn't help. I reeled the risk back and traded more proper position size for a while, but the commissions for a round trip are $10, so taking six trades per day, I'm losing $60 at a minimum on top of my losing trades. Quickly I realized I didn't know what the hell I was doing. What about my dad? Does HE know? One day, in the trading dungeon, I was frustrated with the experience I'd been having and just feeling lost overall. I asked him.
"So, are you consistently profitable?"
"mmm... I do alright."
"Yea but like, are you consistently profitable over time?"
.........................
"I do alright."
Silence.
"Do you know any consistently profitable traders?"
"Well the one who wrote that book I gave you, Tina Turner.. umm and there's Ross Cameron"
......................
"So you don't know any consistently profitable traders, personally.. People who are not trying to sell you something?"
"no."
...................
Holy fucking shit, what did this idiot get me into. He can't even say it to my face and admit it.
This entire life decision, quitting my job, leaving my rental, moving from my city to back home, giving shit away, it all relied on that. I was supposed to be an apprentice to a consistently profitable day trader who trades for a living. It was so assumed, that I never even thought to ask! Why would you tell your son to quit his job for something that you yourself cannot do? Is this all a scam? Did my dad get sold a DREAM? Did I buy into some kind of ponzi scheme? How many of those winning trades he showed me did he actually take? Are there ANY consistently profitable DAY TRADERS who TRADE FOR A LIVING? Why do 90% fail? Is it because the other 10% are scamming the rest in some way? Completely lost, I just had no clue what was what. If I was going to succeed at this, if it was even possible to succeed at this, it was entirely up to me. I had to figure it out. I still remember the feeling like an overwhelming, crushing weight on me as it all sunk in. This is going to be a big deal.. I'm not the type to give up though. In that moment, I said to myself,
I'm going to fucking win at this. I don't know if this is possible, but I'm going to find out. I cannot say with certainty that I will succeed, but no matter what, I will not give up. I'm going to give all of myself to this. I will find the truth.
It was a deep moment for me. I don't like getting on my soapbox, but when I said those things, I meant it. I really, really meant it. I still do, and I still will.
Now it might seem like I'm being hard on my dad. He has done a lot for me and I am very grateful for that. We're sarcastic as hell to each other, I love the bastard. Hell, I wouldn't have the opportunity to trade at all if not for him. But maybe you can also understand how overwhelmed I felt at that time. Not on purpose, of course he means well. But I am not a trusting person at all and I was willing to put trust into him after all the convincing and was very disappointed when I witnessed the reality of the situation. I would have structured this transition to trading differently, you don't just quit your job and start trading. Nobody was there to tell me that! I was told quite the opposite. I'm glad it happened anyway, so fuck it. I heard Kevin O'Leary once say,
"If I knew in the beginning how difficult starting a business was, I don't know that I ever would've started."
This applies very much to my experience.
So what did I do? Well like everyone I read and read and Googled and Youtube'd my ass off. I sure as hell didn't pay for a course because I didn't have the money and I'm like 99% sure I would be disappointed by whatever they were teaching as pretty much everything can be found online or in books for cheap or free. Also I discovered Thinkorswim and I used that to sim trade in real-time for three months. This is way the hell different than going on a sim at 5x speed and just clicking a few buy and sell buttons. Lol, useless. When you sim trade in real-time you're forced to have a routine, and you're forced to experience missing trades with no chance to rewind or skip the boring parts. That's a step up because you're "in it". I also traded real money too, made some, lost more than I made. went back to sim. Traded live again, made some but lost more, fell back to PDT. Dad fronted me more cash. This has happened a few times. He's dug me out of some holes because he believes in me. I'm fortunate.
Oh yeah, about that book my dad gave me. It's called A Beginner's Guide to Day Trading Online by Toni Turner. This book... is shit. This was supposed to be my framework for how to trade and I swear it's like literally nothing in this book fucking works lol. I could tell this pretty early on, intuitively, just by looking at charts. It's basically a buy-the-breakout type strategy, if you want to call it a strategy. No real methodology to anything just vague crap and showing you cherry-picked charts with entries that are way too late. With experience in the markets you will eventually come to find that MOST BREAKOUTS FAIL. It talks about support/resistance lines and describes them as, "picture throwing a ball down at the floor, it bounces up and then it bounces down off the ceiling, then back up." So many asinine assumptions. These ideas are a text book way of how to trade like dumb money. Don't get me wrong, these trades can work but you need to be able to identify the setups which are more probable and identify reasons not to take others. So I basically had to un-learn all that shit.
Present day, I have a routine in place. I'm out of the dungeon and trade by myself in my room. I trade with a discount broker that is catered to day traders and doesn't rape me on commissions. My mornings have a framework for analyzing the news and economic events of the particular day, I journal so that I can recognize what I'm doing right and where I need to improve. I record my screens for later review to improve my tape reading skills. I am actually tracking my trades now and doing backtesting in equities as well as forex. I'm not a fast reader but I do read a lot, as much as I can. So far I have read about 17-18 books on trading and psychology. I've definitely got a lot more skilled at trading.
As of yet I am not net profitable. Writing that sounds like selling myself short though, honestly. Because a lot of my trades are very good and are executed well. I have talent. However, lesser quality trades and trades which are inappropriately sized/ attempted too many times bring down that P/L. I'm not the type of trader to ignore a stop, I'm more the trader that just widdles their account down with small losses. I trade live because at this point, sim has lost its value, live trading is the ultimate teacher. So I do trade live but I just don't go big like I did before, I keep it small.
I could show you trades that I did great on and make people think I'm killing it but I really just don't need the validation. I don't care, I'm real about it. I just want to get better. I don't need people to think I'm a genius, I'm just trying to make some money.
Psychologically, to be honest with you, I currently feel beaten down and exhausted. I put a lot of energy into this, and sometimes I work myself physically sick, it's happened multiple times. About once a week, usually Saturday, I get a headache that lasts all day. My body's stress rebound mechanism you might call it. Getting over one of those sick periods now, which is why I barely even traded this week. I know I missed a lot of volatility this week and some A+ setups but I really just don't give a shit lol. I just currently don't have the mental capital, I think anyone who's been day trading every day for a year or more can understand what I mean by that. I'm still being productive though. Again, I'm not here to present an image of some badass trader, just keeping it real. To give something 100% day after day while receiving so much resistance, it takes a toll on you. So a break is necessary to avoid making bad trading decisions. That being said, I'm progressing more and more and eliminating those lesser quality trades and identifying my bad habits. I take steps to control those habits and strengthen my good habits such as having a solid routine, doing review and market research, taking profits at the right times, etc.
So maybe I can give some advice to some that are new to day trading, those who are feeling lost, or just in general thinking "...What the fuck..." I thought that every night for the first 6 months lol.
First of all, manage expectations. If you read my story of how I came to be a trader, you can see I had a false impression of trading in many aspects. Give yourself a realistic time horizon to how progress should be made. Do not set a monetary goal for yourself, or any time-based goal that is measured in your P/L. If you tell yourself, "I want to make X per day, X per week, or X per year" you're setting yourself up to feel like shit every single day when it's clear as the blue sky that you won't reach that goal anytime soon. As a matter of fact, it will appear you are moving further AWAY from that goal if you just focus on your P/L, which brings me to my next point.
You will lose money. In the beginning, most likely, you will lose money. I did it, you'll do it, the greatest Paul Tudor Jones did it. Trading is a skill that needs to be developed, and it is a process. Just look at it as paying your tuition to the market. Sim is fine but don't assume you have acquired this skill until you are adept at trading real money. So when you do make that leap, just trade small.
Just survive. Trade small. get the experience. Protect your capital. To reach break even on your bottom line is a huge accomplishment. In many ways, experience and screen time are the secret sauce.
Have a routine. This is very important. I actually will probably make a more in-depth post in the future about this if people want it. When I first started, I was overwhelmed with the feeling "What the fuck am I supposed to DO?" I felt lost. There's no boss to tell you how to be productive or how to find the right stocks, which is mostly a blessing, but a curse for new traders.
All that shit you see, don't believe all that bullshit. You know what I'm talking about. The bragposting, the clickbait Youtube videos, the ads preying on you. "I made X amount of money in a day and I'm fucking 19 lolz look at my Lamborghini" It's all a gimmick to sell you the dream. It's designed to poke right at your insecurities, that's marketing at it's finest. As for the bragposting on forums honestly, who cares. And I'm not pointing fingers on this forum, just any trading forum in general. They are never adding anything of value to the community in their posts. They never say this is how I did it. No, they just want you to think they're a genius. I can show you my $900 day trading the shit out of TSLA, but that doesn't tell the whole story. Gamblers never show you when they lose, you might never hear from those guys again because behind the scenes, they over-leveraged themselves and blew up. Some may actually be consistently profitable and the trades are 100% legit. That's fantastic. But again, I don't care, and you shouldn't either. You shouldn't compare yourself to others.
"Everyone's a genius in a bull market" Here's the thing.. Markets change. Edges disappear. Trading strategies were made by traders who traded during times when everything they did worked. Buy all the breakouts? Sure! It's the fucking tech bubble! Everything works! I'm sure all those typical setups used to work fantastically at some point in time. But the more people realize them, the less effective they are. SOMEONE has to be losing money on the opposite side of a winning trade, and who's willing to do that when the trade is so obvious? That being said, some things are obvious AND still work. Technical analysis works... sometimes. The caveat to that is, filters. You need to, in some way, filter out certain setups from others. For example, you could say, "I won't take a wedge pattern setup on an intraday chart unless it is in a higher time frame uptrend, without nearby resistance, and trading above average volume with news on that day."
Have a plan. If you can't describe your plan, you don't have one. Think in probabilities. You should think entirely in "if, then" scenarios. If X has happens, then Y will probably happen. "If BABA breaks this premarket support level on the open I will look for a pop up to short into."
Backtest. Most traders lose mainly because they think they have an edge but they don't. You read these books and all this stuff online telling you "this is a high probability setup" but do you know that for a fact? There's different ways to backtest, but I think the best way for a beginner is manual backtesting with a chart and an excel sheet. This builds up that screen time and pattern recognition faster. This video shows how to do that. Once I saw someone do it, it didn't seem so boring and awful as I thought it was.
Intelligence is not enough. You're smarter than most people, that's great, but that alone is not enough to make you money in trading necessarily. Brilliant people try and fail at this all the time, lawyers, doctors, surgeons, engineers.. Why do they fail if they're so smart? It's all a fucking scam. No, a number of reasons, but the biggest is discipline and emotional intelligence.
Journal every day. K no thanks, bro. That's fucking gay. That's how I felt when I heard this advice but really that is pride and laziness talking. This is the process you need to do to learn what works for you and what doesn't. Review the trades you took, what your plan was, what actually happened, how you executed. Identify what you did well and what you can work on. This is how you develop discipline and emotional intelligence, by monitoring yourself. How you feel physically and mentally, and how these states affect your decision-making.
Always be learning. Read as much as you can. Good quality books. Here's the best I've read so far;
Market Wizards -Jack Schwager
One Good Trade -Mike Bellafiore
The Daily Trading Coach -Bret Steenbarger
Psycho-cybernetics -Maxwell Maltz
Why You Win or Lose -Fred Kelly
The Art and Science of Technical Analysis -Adam Grimes
Dark Pools -Scott Patterson
Be nimble. Everyday I do my research on the symbols I'm trading and the fundamental news that's driving them. I might be trading a large cap that's gapping up with a beat on EPS and revenue and positive guidance. But if I see that stock pop up and fail miserably on the open amidst huge selling pressure, and I look and see the broader market tanking, guess what, I'm getting short, and that's just day trading. The movement of the market, on an intraday timeframe, doesn't have to make logical sense.
Adapt. In March I used to be able to buy a breakout on a symbol and swing it for the majority of the day. In the summer I was basically scalping on the open and being done for the day. Volatility changes, and so do my profit targets.
Be accountable. Be humble. Be honest. I take 100% responsibility for every dime I've lost or made in the market. It's not the market makers fault, it wasn't the HFTs, I pressed the button. I know my bad habits and I know my good habits.. my strengths/ my weaknesses.
Protect yourself from toxicity. Stay away from traders and people on forums who just have that negative mindset. That "can't be done" mentality. Day trading is a scam!! It can certainly be done. Prove it, you bastard. I'm posting to this particular forum because I don't see much of that here and apparently the mods to a good job of not tolerating it. As the mod wrote in the rules, they're most likely raging from a loss. Also, the Stocktwits mentality of "AAPL is going to TANK on the open! $180, here we come. $$$" , or the grandiose stories, "I just knew AMZN was going to go up on earnings. I could feel it. I went ALL IN. Options money, baby! ka-ching!$" Lol, that is so toxic to a new trader. Get away from that. How will you be able to remain nimble when this is your thought process?
Be good to yourself. Stop beating yourself up. You're an entrepreneur. You're boldly going where no man has gone before. You've got balls.
Acknowledge your mistakes, don't identify with them. You are not your mistakes and you are not your bad habits. These are only things that you do, and you can take action necessary to do them less.
It doesn't matter what people think. Maybe they think you're a fool, a gambler. You don't need their approval. You don't need to talk to your co-workers and friends about it to satisfy some subconscious plea for guidance; is this a good idea?
You don't need anyone's permission to become the person you want to be.
They don't believe in you? Fuck 'em. I believe in you.
submitted by indridcold91 to Daytrading [link] [comments]

[educational] Stretgies for day trading based on Technical Analysis

[educational] Stretgies for day trading based on Technical Analysis

1. Breakout

Breakout strategies center around when the price clears a specified level on your chart, with increased volume. The breakout trader enters into a long position after the asset or security breaks above resistance. Alternatively, you enter a short position once the stock breaks below support.
After an asset or security trades beyond the specified price barrier, volatility usually increases and prices will often trend in the direction of the breakout.
You need to find the right instrument to trade. When doing this bear in mind the asset’s support and resistance levels. The more frequently the price has hit these points, the more validated and important they become.

Entry Points

This part is nice and straightforward. Prices set to close and above resistance levels require a bearish position. Prices set to close and below a support level need a bullish position.

Plan your exits

Use the asset’s recent performance to establish a reasonable price target. Using chart patterns will make this process even more accurate. You can calculate the average recent price swings to create a target. If the average price swing has been 3 points over the last several price swings, this would be a sensible target. Once you’ve reached that goal you can exit the trade and enjoy the profit.
https://preview.redd.it/0oj4a1xlvdh31.png?width=773&format=png&auto=webp&s=8f2aa07b0c7caeeb00c4f997c12e814abbd380da

2. Scalping

One of the most popular strategies is scalping. It’s particularly popular in the forex market, and it looks to capitalise on minute price changes. The driving force is quantity. You will look to sell as soon as the trade becomes profitable. This is a fast-paced and exciting way to trade, but it can be risky. You need a high trading probability to even out the low risk vs reward ratio.
Be on the lookout for volatile instruments, attractive liquidity and be hot on timing. You can’t wait for the market, you need to close losing trades as soon as possible.
https://preview.redd.it/dzaf7t1nvdh31.png?width=653&format=png&auto=webp&s=f3d96d74311de806c3809698df2a964e3eb4db5e

3. Momentum

Popular amongst trading strategies for beginners, this strategy revolves around acting on news sources and identifying substantial trending moves with the support of high volume. There is always at least one stock that moves around 20-30% each day, so there’s ample opportunity. You simply hold onto your position until you see signs of reversal and then get out.
Alternatively, you can fade the price drop. This way round your price target is as soon as volume starts to diminish.
This strategy is simple and effective if used correctly. However, you must ensure you’re aware of upcoming news and earnings announcements. Just a few seconds on each trade will make all the difference to your end of day profits.
https://preview.redd.it/z4r2o6covdh31.png?width=600&format=png&auto=webp&s=b054c77c4bc5978821e879eff73d613d728cb0cf

4. Reversal

Although hotly debated and potentially dangerous when used by beginners, reverse trading is used all over the world. It’s also known as trend trading, pull back trending and a mean reversion strategy.
This strategy defies basic logic as you aim to trade against the trend. You need to be able to accurately identify possible pullbacks, plus predict their strength. To do this effectively you need in-depth market knowledge and experience.
The ‘daily pivot’ strategy is considered a unique case of reverse trading, as it centers on buying and selling the daily low and high pullbacks/reverse.
https://preview.redd.it/4ya3txcpvdh31.png?width=776&format=png&auto=webp&s=f40216413b1376b2d6d5a67e4d09057f55be6ba1

5. Using Pivot Points

A day trading pivot point strategy can be fantastic for identifying and acting on critical support and/or resistance levels. It is particularly useful in the forex market. In addition, it can be used by range-bound traders to identify points of entry, while trend and breakout traders can use pivot points to locate key levels that need to break for a move to count as a breakout.

Calculating Pivot Points

A pivot point is defined as a point of rotation. You use the prices of the previous day’s high and low, plus the closing price of a security to calculate the pivot point.
Note that if you calculate a pivot point using price information from a relatively short time frame, accuracy is often reduced.
So, how do you calculate a pivot point?
  • Central Pivot Point (P) = (High + Low + Close) / 3
You can then calculate support and resistance levels using the pivot point. To do that you will need to use the following formulas:
  • First Resistance (R1) = (2*P) – Low
  • First Support (S1) = (2*P) – High
The second level of support and resistance is then calculated as follows:
  • Second Resistance (R2) = P + (R1-S1)
  • Second Support (S2) = P – (R1- S1)

Application

When applied to the FX market, for example, you will find the trading range for the session often takes place between the pivot point and the first support and resistance levels. This is because a high number of traders play this range.
It’s also worth noting, this is one of the systems & methods that can be applied to indexes too. For example, it can help form an effective S&P day trading strategy

6. Moving Average Crossover

You will need three moving average lines:
  • One set at 20 periods – This is your fast moving average
  • One set at 60 periods – This is your slow moving average
  • One set at 100 periods – This is your trend indicator
This is one of the moving averages strategies that generates a buy signal when the fast moving average crosses up and over the slow moving average. A sell signal is generated simply when the fast moving average crosses below the slow moving average.
So, You’ll open a position when the moving average line crosses in one direction and you’ll close the position when it crosses back the opposite way.
How can you establish there’s definitely a trend? You know the trend is on if the price bar stays above or below the 100-period line.

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

Mainfinex: The Panacea to the Future

Mainfinex: The Panacea to the Future

Mainfinex

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

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

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

The intelligent investors guide to cryptocurrency: Part 3b - Pricing and liquidity

*Introductions: I'm joskye. A cryptocurrency investor and SDC holder. *
...
Hi again. This is the third part in our ongoing series on how to trade better and determine intelligent investments in cryptocurrency for the future.
Part 3b continues where I left off with a discussion about price metrics specifically, what determines the price and the importance of liquidity:
...
The day traders:
As I mentioned in my previous article, as of writing almost every cryptocurrency is determined purely by speculative value.
Thus the absolute price of a given cryptocurrency is determined solely by the day traders and specifically the last price it was agreed that currency would be sold at with confirmation of that price by a buyer who bought it.
People say lots of things determine the price; marketcap, liquidity, value proposition, revenues generated by the coin, the number of said coin in circulation but ultimately it comes down to the number of buyers and number of sellers competing for that coin.
Perhaps the other thing is the size of said market relative to the money held by the players in it.
For instance in cryptocurrency Bitcoin is still the biggest player in the game. It carries a per unit price of $900 per coin. There are currently 16,090,137 (16 million) coins in circulation giving it a total marketcap value of [$900 x 16090137 =] $14481123300 or 14.48 billion USD.
Shadowcash looks even more meagre compared to the total cryptocurrency marketcap with only 0.048% of the total cryptocurrency sphere.
To any Shadowcash holders despairing at this point, relax. There are over 707 cryptocurrencies trading as of writing and SDC holds the 27th ranking in terms of market cap. In such a competitive field, filled with scams that's pretty good. Moreso when you consider that SDC is a legitimate technology and is currently probably very undervalued.
...
Lets look at the rich list for bitcoin:
Why did I just talk about this?
In cryptocurrency I see this happening on the markets all the time. Indeed market manipulation effects every single cryptocurrency eventually.
...
Market manipulation!
Large holders of valuable, high marketcap coins will often make multiple small volume purchases of less valuable, low marketcap coins. Often this will follow announcements regarding developments in that low marketcap coin.
Low volume buying in a market with low daily trading volume can gradually drive up the price attracting an influx of buyers into that coin; often they will make larger volume purchases of it which helps drive up the price much further. This will trigger a further chain of buyers experiencing FOMO (fear of missing out, detailed in Part 2) who will drive up the price even further. The price will pump. Often will smaller cap cryptocurrencies this may result in a sudden 20, 40, 60 or even +100% increase in value often over a very short time space (1-2 days, 1-2 weeks maximum).
The only way to discern if the sudden rise in coin value is due to pre-rigged market manipulation is to look at:
You are looking for organic, gradual growth based on a solid value proposition. Sudden large spikes in value should make you pause and wonder if it's worth waiting for a gradual correction (organic drop) in price before entering your buy order.
Do not fall for a pump and dump. Stick to the lessons covered in previous parts of this guide (especially part 3a and 2) and you will be much less likely to lose money in the long run trading and investing in cryptocurrencies.
...
The pattern of change on daily trading volume, the order book and liquidity:
Lets look at SDC and Bitcoin again. This time we are going to compare the daily trading volume (last 24 hours) in USD.
I'd just like to use this opportunity to point out and reinforce the idea that day traders not holders dictate the daily price of an asset. I'd also like to point out daily global trading volume on Forex is $4800 billion which makes Bitcoin a very small fish in the broader arena of global finance and trade i.e. Bitcoin is still very vulnerable to all the price manipulation tactics and liquidity issues I am going to be describing in this article by bigger players with richer pockets.
The daily trading volume also gives you an idea of how much fiat currency you can invest into a given cryptocurrency before you suddenly shift the price.
A sudden rise in coin price heavily out of proportion to the rise in daily trading volume should be the first sign to alert you to a pump & dump scam.
Daily trading volume should show a steady increase over time with sustained buy support at new price levels; this is a good marker of organic, sustainable growth.
...
For more detail you can now look at the depth chart:
The depth chart is very useful to know how much fiat currency is required to cause the spot price of a given cryptocurrency to rise or fall by a given amount.
NB the price of most cryptocurrencies is expressed in Bitcoin because it has the largest market cap and daily trading volume of all cryptocurrencies by a very large margin and because with a few exceptions (Ethereum, Monero) most cryptocurrencies do not have routes to directly purchase via fiat currency without first purchasing Bitcoin.
Liquidity is super important. People often complain about a market lacking liquidity but that is often because they are trading in fiat volumes which far exceed the daily trading fiat volumes of the cryptocurrency they are referring to. If you are investing or trading in a cryptocurrency, always factor in the your personal liquidity and need for liquidity relative to that of the cryptocurrency you are investing in. In other words don't expect to make a profit next day selling 'cryptocurrency x' if the size your single buy order composes >90% of the buy orders on the market for 'cryptocurrency x' that day (indeed in such a scenario be very prepared to sell at a loss next day if you absolutely have to)!
There are certain patterns on a depth chart that make me believe a significant, sustained price rise is imminent: One example occurs when there is a very large volume of buy orders (>25% of total buy volume within 5% of current price) very close to the current (spot) price, and a very large number of sell orders close to but significantly above the spot price (approx 25% total sell volume within 10% of current price) and especially if the total buy order volume is a significantly higher percentage than it has previously been. This simply indicates high demand at current price which may soon outstrip supply. Again I stress that these patterns can be manipulated easily by wealthy traders.
...
The order book is another way of looking at the depth chart and allows you to see the specific transactions occurring that compose daily trading volume by the second!
I find it useful because it allows me to identify:
...
The price charts:
Discussions about price charts could be endless. I'm not going to go into too much detail, mostly because I'm an investor who believes the value proposition, good consistent development, decent marketing and communications will ultimately trump spot prices and adverse (or positive) short term price trends in the future.
...
The news cycle:
...
Other interesting points: The 'coin x' scenario and the ridiculousness of marketcap:
'Coin X' is an imaginary hypothetical coin. There are only 10 in circulation. It has no value proposition beyond it's speculative value i.e. it will never generate a revenue independent of it's speculative value.
I'd like to point out the similarities between ZCash and 'coin x' (especially during it's launch).
...
Lessons:
...
Finally why am I writing this?
I mean I just spoke openly about how SDC and indeed any cryptocurrencies (or purely speculative assets) price can be manipulated in the short term.
Well SDC has an incredible value proposition that could generate and attract large amounts of non-speculative fiat currency into it's ecosystem. I already covered that in part 3a (https://www.reddit.com/Shadowcash/comments/5lhh6m/the_intelligent_investors_guide_to_cryptocurrency/).
For this reason I think the short term speculative pump and dumps in SDC will eventually be replaced by a more sustained, larger buy support. I suspect this will occur when the marketplace is released and certain other announcements are released.
For this reason I declare my opinion that Shadowcash is the best cryptocurrency investment of 2016 and I believe it will be again by March 2017.
...
References:
1. Coinmarketcap rankings: https://coinmarketcap.com/all/views/all/ 2. Coinmarketcap daily trading volumes https://coinmarketcap.com/currencies/volume/24-hou 3. Bitinfocharts - Top 100 Richest Bitcoin addresses: https://bitinfocharts.com/top-100-richest-bitcoin-addresses.html 4. Crypto ID - Shadowcash Rich list: https://chainz.cryptoid.info/sdc/#!rich 
...
Disclaimer: All prices and values given are as of time of writing (Midday 08-Jan-2016). I am not responsible for your financial decisions, nor am I advising you take a particular financial position. Rather I am sharing my experiences and hoping you form your own opinions and insights from them. Full disclosure: I have long positions in Ethereum (ETH), Shadowcash (SDC), ICONOMI (ICN), Augur (REP) and Digix (DGD).
submitted by joskye to Shadowcash [link] [comments]

Bitcoin price forecast, using BCG matrix

Bitcoin price forecast, using BCG matrix
BTCUSD analysis: Bitcoin forecast

Experimental analysis of BTCUSD trends by means of Boston Consulting Group matrix

Telegram channel — trading signals btc, eth, xrp
Today, I’ll go on to analyze the BTCUSD pair, as all the other altcoins depend on it.
A couple of days ago, there was quite and important fundamental event that was hardly responded by the crypto market. It is about the G20 meeting that was held in Argentina.
One of the most important agenda items was digital economy. As you know, they were discussing cryptocurrencies and the future of the crypto market. Following up on this meeting there was drafted a declaration. At first sight, it doesn’t seem to present any sensational solutions. However, the leaders of G-20 member-countries have admitted that cryptocurrencies and blockchain technology has a huge potential and its development is important for global economy. On the other hand, they have again emphasized the officials’ concern about poor regulation of the cryptocurrency market. Here, a particular emphasis is put on the risks, associated with money laundering and the development of illegal markets, as well as terrorist financing.
What does it mean?
It is a good signal for alarmists, who have been already disappointed in cryptocurrencies and dumped their deposits. Nobody will ruin the crypto market. Cryptocurrencies, as a type of investment assets will always exist in one form or another. What’s the point in killing the goose that lays golden eggs?! The hype around the crypto market turned into investors those, who had never thought about investing in any assets. Economic participation of people has sharply increased. There appeared whole industrial sector that became almost national idea for particular countries. It is far easier to legalize cryptocurrency and impose taxation, rather than to fight with the products of digital economy. The Group of 20 were discussing the issue of developing a taxation system for international digital services. It means only one thing - one way or another, the whole cryptocurrency market will be split into two parts; the first one will be completely transparent not only for users but for public authorities as well. There will be institutional investors and banks, along with corporations. There, the cryptocurrency will be completely integrated into banking services and become publicly available and user-friendly. Everything will be legalized and regulated. The second part will become a part of shadow economy and will be under continuous pressure from regulators and governmental authorities. The users of such cryptocurrencies will be automatically recognized as financiers of terrorism and accomplices in money laundering. The users of such cryptocurrencies will face potential imprisonment and international prosecution.
Even if it sounds unreal now, but if the G-20 are seriously discussing the cryptocurrency matter, I’m sure that the country leaders will join their efforts to bring this scenario into reality. So, I won’t be surprised if, in a few years, there will be another bitcoin fork that will be recognized by the Group of 20, included into gold and forex reserve and will become a new payment means; and the old bitcoin will become illegal and will be traded secretly.
But now, it is still an assumption and won’t come true in the new future.
I’d like to perform technical analysis of the current bitcoin market sentiment to find out what is going to be in the near future.
https://preview.redd.it/7jfpz6euou221.png?width=1954&format=png&auto=webp&s=ed0798ef8938d6da6be3e33392b32d20054fa5b2
In my previous analysis a week ago, I offered a long-term forecast for the next 10 months, suggesting the major target at 2000 USD to be reached around October, 2019.
I still believe that the bottom at 2000 USD looks quite justified, in terms of both fundamental and technical analysis.
This scenario can be real in fact, if bitcoin will be moving in the downward channel with a corridor of about 3000 USD. Previously, BTC could be moving faster in a few days, but in the current crypto market situation, such a narrow range looks reasonable. However, Bitcoin has never moved as it was expected by the majority of traders.
I compared in detail the current market situation with the Bitcoin drop in 2014 and noticed some regularities that I emphasized in the last forecast for bitcoin future price.

https://preview.redd.it/ut5jhcpvou221.png?width=1954&format=png&auto=webp&s=a1f0582387490922b0b9aebd34a93a8cc7703948
If you look closer, you’ll see from the chart above that the bullish trend had been speeding up since August, 2014, and reached its peak in December.
I wouldn’t try to fit this into particular dates or months, but if I try to draw a direct parallel with the Bitcoin current fall, it should start falling faster.

https://preview.redd.it/rlixmzkwou221.png?width=1954&format=png&auto=webp&s=a6086ecddee8770675fdc62dafb726f544e15bad
To better explain my idea, I suggest you look at the chart above.
Many of you are likely to be familiar with the BCG matrix, is a corporate planning tool created by Boston Consulting Group. Long story short, the matrix describes the life-cycle of a product and its position in the market.
I won’t describe it in detail here. I just had an idea to analyze the price trend like a product. A trend is traded in the market like an idea, and each trader votes for it by means of their money, supporting or opposing the idea.
Based on this assumption, a trend, like a product, will pass through four stages:
  1. Entering the market - “Problem child”
  2. Developing stage - “Star”
  3. Developed stage - “Cash cow”
  4. Recession - “Poor dog”
The stage of problem child (also known as “question mark”) is the initial step. The product is just entering the market, but consumers don’t trust it, and so, it needs a large amount of investments. I marked this stage with the yellow circle in the chart above. There are two big dumps. The financial supporters of the drop were investing quite much in their bearish trend, but the buyers didn’t trust that idea and didn’t support it. Next, the product has been accepted by buyers, whose market share was quite high in the market, as well as the rate of sales, starting next. There, comes the stage of growth, the Star!
In the given example, it is the green box that highlights the zone of the steady bearish trend. It was accepted and admitted by the market, and everybody supports the idea of Bitcoin drop. Everybody likes it and thumbs it up. The next stage is the developed stage, or Cash cow. That is when investors begin to gain the yield from their product and the investment is paying off. It the blue circle in the chart above. There, it is clear that manipulators are starting to buy out and get the cheap biotin, making up their funds spent on dumps.
A sure sign of this stage is incredibly high trade volumes.
The last stage is recession, or Poor dog. Such a dog is weak and won’t live for long. The product at this stage is not appealing or demanded. Interpreting this idea, there is a clear red circle in the chart above. Market participants don’t believe in the bearish trend any longer and don’t support the idea by their money. The funders are not interested in promoting this idea as its development costs exceed the potential profit, or it may at all generate negative cash return.
Therefore, the Bitcoin bearish trend, like a product, is leaving the market, being replaced by a different idea.
https://preview.redd.it/ppki39lxou221.png?width=1954&format=png&auto=webp&s=1edcc6d841c3d623a78ac615323620868e52a605
Drawing the same parallel with the ongoing bearish trend, you see that the Problem child stage has been already finished. Due to the strong bearish trend, this stage was lasting for a particularly long time, despite the price drop from 20 000 USD down to 6000 USD. The candlesticks clearly display strong volatility and the buyers’ resistance.
Eventually, following the long fight, market gave up and the bearish entered the stage of Star. It is clear that, due to the longtime resisting, the bulls stepped back, having lost quite much; and each crypto market participant believed in the bearish idea. The stage was developing very fast, and so, it ended quite soon. And it is clear that the BTCUSD downtrend trend is entering the Cash cow stage now.
As I’ve already said, at this stage, manipulators take an advantage of the market inertia and start “milking” the cow, as the marketing specialists call it; traders would say, trick out of hamsters’ money.
https://preview.redd.it/abdwsiizou221.png?width=1954&format=png&auto=webp&s=fa8f3648a3f2a1f755f42f6e2d2deb7c640cab95
It is clear from the 15-minute BTCUSD price chart above that there are frequent buyouts; that is investors are gaining profits from the invested cash. Currently, while weak hands are losing their positions, the whales are buying out cheap bitcoins. It will go on until it becomes clear that the idea of the Bitcoin drop has been finished, and the bears don't have any more power to press the market down.
Most likely, at this stage, manipulators will repeat the same trick and start selling the bitcoins, they’ve already bought, to create stronger panic. People are extremely nervous, and so, manipulators won’t have to dump much.
https://preview.redd.it/itl4gyr0pu221.png?width=1954&format=png&auto=webp&s=7c6943a6a2bd554f1e9e7b44db7fb599c9abe263
If you gain look at the monthly BTCUSD price chart above, you see that the next wave is likely to start in February, 2019. Based on the depth of the plunge, the level at 2000 USD is such an irresistible barrier, which many will start from. I assume that manipulators anticipate this situation and will make their final buyout not going as low as this level. In the volume profile chart, it will look like a hump that I outlined by the red ark. After that, the bearish trend will start exhausting, amid trading flat and weak attempts to draw the price up to 4000 USD. The Bitcoin downtrend will enter the stage of Poor dog.

https://preview.redd.it/n8lplvt1pu221.png?width=1954&format=png&auto=webp&s=955ff6e177191986710e731e2c5158de87b115ac
This period will be dangerous because of extremely low trade volumes, allowing the manipulators to perform various tricks and attempts to crash the market in order to buy more bitcoins at the lowest price level. There is likely to be another slide down before the bearish trend of 2018-2019 will finally end. The final drop is likely to be followed by a new idea, supporting the BTCUSD growth.
The whole cycle will start from the beginning. First, funders will heat the market up, selling the idea to hamsters. Next, supported by the market natural growth, they will launch the rocket up rather high, where they’ll start gaining cash. But that is another story; it is called Bitcoin uptrend of 2019-20??
Unfortunately, the manipulators haven’t yet finished developing their bearish trend, and we’ll have to wait.
That is my updated BTCUSD global scenario.
I wish you good luck and good profits!

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submitted by Nick_Kiros to u/Nick_Kiros [link] [comments]

The Future is here and it Runs on A New Level of Trust

The Future is here and it Runs on A New Level of Trust
https://preview.redd.it/oh01pb7vg7121.png?width=1024&format=png&auto=webp&s=24a528e0c221568eb90bd692809dca5f87cdf84b
It’s not what we hoped for. We’re not happy about it But rather than rear up against the nightmare, we opt for an elegant solution to steer clear of incidences of fraud or misconduct.
At some point, news of brokerages engaging in appalling fraudulent behavior became too much to see as isolated slips by professionals who supposedly have their investors best interests at heart. There was the case of the Hong Kong Securities and Futures Commission (SFC) fining HPI Forex Limited $255,000 for failing to adhere to client money segregation rules. The brokerage company had mishandled its customer of customer funds of over $1million over a period of 13 months. There was also the case of individual brokers like Christian Robert Mayer of Eden Prairie, Minnesota being fined $100,000 in penalties and banned by the Commodity Futures Trading Commission (CFTC) for fraudulent trading schemes.
High-frequency brokerage firms buy, sell or cancel financial instruments in a matter of seconds, making it hard for fraud to be detected. While such trading at large volumes grants greater liquidity to the markets, helps lower costs for all investors, it can also open up new opportunities for manipulating prices. These manipulative brokerages thrive by making a little bit of profit from lots of trades, unlike those trading on inside information who seek the big payoff through a quick strike before the information is disclosed. Many brokerages do not want to tip off the direction of their investments, nor do they disclose the best prices available to maintain competitive advantage. But this lack of transparency leaves investors anxiously sitting out in the dark.
Peter Lynch, the American investor, mutual fund manager, and philanthropist whose net worth is reported at US$352 million in March 2006, stated “It would be wonderful if we could avoid the common setbacks with timely exits.”
Now is the time for all investors to walk away from questionable brokerages who are not transparent in the dealings nor are they accountable. The age of the Internet has exposed a rich portrait of these brokerage-led psychological and economic vulnerabilities. Out of the depths of the distressing backdrop, investors have their eye on another boom that rose to stratospheric heights through the emergence of Cryptocurrency and Blockchain.
While Cryptocurrency is often associated with wild volatility, the base of its technology that is Blockchain will be the bedrock that will host new bluechip industries, because the technology itself is all about creating one priceless asset: trust.
The need for trust is why companies like Google, Facebook and Amazon turned into de-facto monopolies in the first place. Back then; we liked the idea that the Internet allowed us to remain neutral. But with the recent Facebook-Cambridge Analytica data scandal, suddenly we don’t like the idea of these giants having vast amounts of data of our habits, purchases, likes and dislikes. Now we are a little suspicious, we demand for the right to not have our data collected, we demand to know what they will do with the data, we demand for complete accountability and transparency.
As Internet 2.0, Blockchain records all of our activities and transactions on a distributed open ledger that is unalterable, and unbreakable. This technology reduces the cost of trust by means of a decentralized approach to accounting and gives a new way to structure economies of organizations and countries. Think about this. No one can hide his or her transactions. Not brokerages, companies or governments. Not even technological companies like Google or Facebook. This is groundbreaking.
New ways of investing, trading and businesses will develop, because people will demand trust and accountability at the base of all transactions. On Blockchain, the power to invest, trade or do business will flow back to the people and companies will have to evolve to meet that demand. One such example of a game-changing investment Blockchain platform is Level01, the World’s first Brokerless Derivatives Exchange in Partnership with Thomson Reuters.

https://preview.redd.it/hnz7q8mug7121.png?width=1600&format=png&auto=webp&s=dc6d0319724e541a1a328dbf8dfea30ec7a83c5a
What makes Level01 revolutionary is the fact that it can unite and grow the global derivatives exchange market, not by just mere millions, but by mind-blowing quadrillions in terms of investment assets. When people realize that this independent platform equips them with credible real time investment data, powerful big data analytics, trade matching capabilities, rated peer to peer trading, transparent and accountable transactions automated by digital smart contracts, they are going to drop those fraudulent brokerages, for a tool that gives them the freedom to make lucrative return on investments based on their own informed decisions, choice of trade partners and investment assets. In his song, “Power to the People” John Lennon aptly added “..say we want a revolution. We better get on right away”
Considering that almost all exchanges around the world draw large amounts of price differences, quantity differences, spread, exchange rate differences packaged with lengthy legal terms and conditions that hide large amounts of direct and indirect costs. Level01 stands out as every investor’s paradise because of its accountability, transparency, low cost to entry and dedication to circumvent all possibility of risk and fraud that can be caused by humans.
Level01 is an example of the unbreakable trust enabled by Blockchain. This is where we are protected by mathematical rules and impregnable cryptography, rather than trust in fallible humans or institutions. The code and structure of the Blockchain are what guarantees the integrity of the ledger. It’s a version of what the cryptographer Ian Grigg described as “triple-entry bookkeeping”: one entry on the debit side, another for the credit, and a third into an immutable, undisputed, shared ledger. There’s just no room for fraud, just a level open and fair playing field for all.
If all of this seems unfathomable, just remember that not very long ago when the Internet was first invented, no one could predict the rise of Google or Facebook. But that is what you get when you have platforms can enable scale and give power to the people. Blockchain’s core components of algorithmic consensus and distributed book keeping provides the base for platforms like Level01 to create a new paradigm shift that will disrupt financial institutions that currently dominate our centralized economy. In this case, we will be saying good-bye to manipulation and fraud in most derivatives exchanges.
submitted by Level01Exchange to u/Level01Exchange [link] [comments]

The intelligent investors guide to cryptocurrency: Part 3b - Pricing and liquidity

*Introductions: I'm joskye. A cryptocurrency investor and holder. *
...
 
Hi again. This is the third part in our ongoing series on how to trade better and determine intelligent investments in cryptocurrency for the future.
 
 
Part 3b continues where I left off with a discussion about price metrics specifically, what determines the price and the importance of liquidity:
...
 
The day traders:
 
As I mentioned in my previous article, as of writing almost every cryptocurrency is determined purely by speculative value.
 
 
For instance in cryptocurrency Bitcoin is still the biggest player in the game. It carries a per unit price of $900 per coin. There are currently 16,090,137 (16 million) coins in circulation giving it a total marketcap value of [$900 x 16090137 =] $14481123300 or 14.48 billion USD.
 
 
Shadowcash looks even more meagre compared to the total cryptocurrency marketcap with only 0.048% of the total cryptocurrency sphere.
To any Shadowcash holders despairing at this point, relax. There are over 707 cryptocurrencies trading as of writing and SDC holds the 27th ranking in terms of market cap. In such a competitive field, filled with scams that's pretty good. Moreso when you consider that SDC is a legitimate technology and is currently probably very undervalued.
...
 
Lets look at the rich list for bitcoin:
 
Why did I just talk about this?
 
In cryptocurrency I see this happening on the markets all the time. Indeed market manipulation effects every single cryptocurrency eventually.
...
 
Market manipulation!
 
Large holders of valuable, high marketcap coins will often make multiple small volume purchases of less valuable, low marketcap coins. Often this will follow announcements regarding developments in that low marketcap coin.
 
 
Low volume buying in a market with low daily trading volume can gradually drive up the price attracting an influx of buyers into that coin; often they will make larger volume purchases of it which helps drive up the price much further. This will trigger a further chain of buyers experiencing FOMO (fear of missing out, detailed in Part 2) who will drive up the price even further. The price will pump. Often will smaller cap cryptocurrencies this may result in a sudden 20, 40, 60 or even +100% increase in value often over a very short time space (1-2 days, 1-2 weeks maximum).
 
 
The only way to discern if the sudden rise in coin value is due to pre-rigged market manipulation is to look at:
 
You are looking for organic, gradual growth based on a solid value proposition. Sudden large spikes in value should make you pause and wonder if it's worth waiting for a gradual correction (organic drop) in price before entering your buy order.
 
Do not fall for a pump and dump. Stick to the lessons covered in previous parts of this guide (especially part 3a and 2) and you will be much less likely to lose money in the long run trading and investing in cryptocurrencies.
...
 
The pattern of change on daily trading volume, the order book and liquidity:
 
Lets look at SDC and Bitcoin again. This time we are going to compare the daily trading volume (last 24 hours) in USD.
 
 
I'd just like to use this opportunity to point out and reinforce the idea that day traders not holders dictate the daily price of an asset. I'd also like to point out daily global trading volume on Forex is $4800 billion which makes Bitcoin a very small fish in the broader arena of global finance and trade i.e. Bitcoin is still very vulnerable to all the price manipulation tactics and liquidity issues I am going to be describing in this article by bigger players with richer pockets.
 
 
The daily trading volume also gives you an idea of how much fiat currency you can invest into a given cryptocurrency before you suddenly shift the price.
 
 
A sudden rise in coin price heavily out of proportion to the rise in daily trading volume should be the first sign to alert you to a pump & dump scam.
 
Daily trading volume should show a steady increase over time with sustained buy support at new price levels; this is a good marker of organic, sustainable growth.
...
 
For more detail you can now look at the depth chart:
 
The depth chart is very useful to know how much fiat currency is required to cause the spot price of a given cryptocurrency to rise or fall by a given amount.
 
NB the price of most cryptocurrencies is expressed in Bitcoin because it has the largest market cap and daily trading volume of all cryptocurrencies by a very large margin and because with a few exceptions (Ethereum, Monero) most cryptocurrencies do not have routes to directly purchase via fiat currency without first purchasing Bitcoin.
 
Liquidity is super important. People often complain about a market lacking liquidity but that is often because they are trading in fiat volumes which far exceed the daily trading fiat volumes of the cryptocurrency they are referring to. If you are investing or trading in a cryptocurrency, always factor in the your personal liquidity and need for liquidity relative to that of the cryptocurrency you are investing in. In other words don't expect to make a profit next day selling 'cryptocurrency x' if the size your single buy order composes >90% of the buy orders on the market for 'cryptocurrency x' that day (indeed in such a scenario be very prepared to sell at a loss next day if you absolutely have to)!
 
 
There are certain patterns on a depth chart that make me believe a significant, sustained price rise is imminent: One example occurs when there is a very large volume of buy orders (>25% of total buy volume within 5% of current price) very close to the current (spot) price, and a very large number of sell orders close to but significantly above the spot price (approx 25% total sell volume within 10% of current price) and especially if the total buy order volume is a significantly higher percentage than it has previously been. This simply indicates high demand at current price which may soon outstrip supply. Again I stress that these patterns can be manipulated easily by wealthy traders.
 
...
 
The order book is another way of looking at the depth chart and allows you to see the specific transactions occurring that compose daily trading volume by the second!
 
I find it useful because it allows me to identify:
 
...
 
The price charts:
 
Discussions about price charts could be endless. I'm not going to go into too much detail, mostly because I'm an investor who believes the value proposition, good consistent development, decent marketing and communications will ultimately trump spot prices and adverse (or positive) short term price trends in the future.
...
 
The news cycle:
 
...
 
Other interesting points: The 'coin x' scenario and the ridiculousness of marketcap:
 
'Coin X' is an imaginary hypothetical coin. There are only 10 in circulation. It has no value proposition beyond it's speculative value i.e. it will never generate a revenue independent of it's speculative value.
 
 
I'd like to point out the similarities between ZCash and 'coin x' (especially during it's launch).
...
 
Lessons:
 
 
...
 
References:
1. Coinmarketcap rankings: https://coinmarketcap.com/all/views/all/ 2. Coinmarketcap daily trading volumes https://coinmarketcap.com/currencies/volume/24-hou 3. Bitinfocharts - Top 100 Richest Bitcoin addresses: https://bitinfocharts.com/top-100-richest-bitcoin-addresses.html 4. Crypto ID - Shadowcash Rich list: https://chainz.cryptoid.info/sdc/#!rich 
 
...
 
Further articles in this series:
 
"The intelligent investors guide to cryptocurrency"
 
Part 0 -
Part 1 -
Part 2 -
Part 3a -
Part 3b -
Part 4 -
Part 5 -
Part 6 -
Part 7a -
 
"The intelligent investors guide to Particl -"
 
 
Full disclosure/Disclaimer: At time of original writing I had long positions in Ethereum (ETH), Shadowcash (SDC), Iconomi (ICN), Augur (REP) and Digix (DGD). All the opinions expressed are my own. I cannot guarantee gains; losses are sustainable; do your own financial research and make your decisions responsibly. All prices and values given are as of time of first writing (Midday 8th-Jan-2017).
 
Second disclaimer: Please do not buy Shadowcash (SDC), the project has been abandoned by it's developers who have moved on to the Particl Project (PART). The PARTICL crowd fund and SDC 1:1 token swap completed April 15th. You can still exchange SDC for PART but only if it was acquired prior to 15th April 2017 see: https://particl.news/a-community-driven-initiative-e26724100c3a for more information.
 
Addendum: Article updated 23-11-2017 to edit references to SDC (changed to Particl where relevant to reflect updated status) and clean up formatting.
submitted by joskye to Particl [link] [comments]

FXCM CEO Drew Niv Discusses Firm's Future after the CHF Crisis

Hi Everyone,
Our CEO Drew Niv held a Q&A with Forex Magnates which will answer many questions we have received over the past couple of weeks http://forexmagnates.com/exclusive-fxcm-inc-ceo-drew-niv-discusses-firms-future-after-the-chf-crisis/. Please understand that some questions I can't answer since we are a publicly traded company and it may be material information, but we will get to all questions in due time.
What happened on January 15th after the SNB announcement? What was the immediate impact of the SNB announcement on the company’s systems?
At the time of the SNB announcement over 3,000 FXCM clients held slightly over $1 billion in open positions on EUCHF. Those same clients held approximately $80 million of collateral in their accounts. As you know this was the largest move of a major currency since currencies started floating 1971.
The EUCHF move was 44 standard deviation moves, while most risk management systems only contemplate 3-6 standard deviations. The moved wiped out those clients’ account equity as well as generated negative equity balances owed to FXCM of over $225 million. We believe that the FXCM system operated properly during this event.
The caveat of our no dealing-desk execution system is that traders are offset one for one with a liquidity provider. When a client entered a EUCHF trade with FXCM, FXCM Inc. had an identical trade with our liquidity providers. During the historic move, liquidity became extremely scarce and shallow, which affected execution prices. This liquidity issue resulted in some clients having a negative balance.
While clients could not cover their margin call with us we still had to cover the same margin call with our banks. When a client profits in the trade FXCM gives the profits to the customer, however, when the client is not profitable on that trade FXCM Inc. ends up having to pay the liquidity provider.
FXCM ended with a regulatory capital shortfall. Accordingly, FXCM needed to get a loan to cover this balance, which it did. For anyone that still thinks FXCM is running an FX dealing desk, we have now demonstrated that such is not the case.
Why do you think many people traded EUCHF with FXCM?
Because we are a no dealing-desk broker and offset each trade one-for-one with our liquidity providers, and only make money on trades not customer losses. We published a study a few years ago called “traits of successful traders” that looked at FXCM traders over a long period of time and their general behavior to find what was destructive behavior to stay away from and what worked for clients.
The study focuses on what the majority of profitable traders did to increase their odds of success. What the study found was that traders who traded during quiet range-bound market hours like Asian hours OR that traded rang- bound low volatility currency pairs tended to be more profitable.
Obviously many of our competitors who are on the opposite side of their clients’ trades did not find this trade to be helpful to their bottom line, as they lose money when traders profit. We saw many of the dealing desk firms begin to increase overnight rollover cost as well as raise margin requirements to get these trades off their system and that’s why FXCM and other STP brokers had much bigger exposure.
Why did FXCM require an emergency loan with such tough terms?
As a regulated broker we are required to notify our regulators in a timely manner when any event occurs that may be deemed sensitive to clients. When we notified the regulators, they required FXCM Inc.’s regulated entities to supplement their respective net capital on an expedited basis.
We explored multiple debt and equity financing alternatives in an effort to meet the regulator’s deadline. The deal we ended up doing with Leucadia was the only deal that could and would happen in the very short timeframe we were given by the regulators. The CEO and the president of Leucadia were here in the office working on the deal.
It was a tall order for someone outside of the FX industry to come in and write a $300 million dollar check. This was the type of thing only top management could do. But they see the sustainability of FXCM, and that was everyone’s end goal. We really are very thankful to Leucadia. The deal enables us to live and fight another day and gives us time to build shareholder value in the future.
You said you plan to pay back the loan with proceeds from sales of non-core assets so what are non-core assets and will that be enough?
We announced last week that we anticipate that with the proceeds from the sale of some non-core assets and continued earnings we can meet both near and long-term obligations of our financing, while preserving the strength of our franchise. It’s widely known and understood that FXCM’s core business has always been retail FX; It is the majority of FXCM’s revenue.
However, over the past few years, the company has spent over $250 million dollars making strategic acquisitions building up our non-core businesses, mainly the institutional side as we tried to diversify the firm. We are now looking to sell some of those non-core assets; But, we are not in a rush and are looking to get the highest valuations for these assets.
We are considering closing or selling smaller regulated entities that require large sums of capital requirements, but that offer increasingly low return on capital. The latter move allows us to free up significant amounts of cash that is currently trapped. We believe that in the near term we can pay down a majority of the loan. That’s our goal.
What happens after 90 days according to your agreement with Leucadia?
The agreement says we need to pay back $50 million of the loan along with $10 million in fees in 90 days. If we don’t pay that $60 million, we will be assessed an additional $30 million in fees when the loan is due in 2017. So we are going to pay our $60 million and hopefully more in 90 days and then go from there. To be clear, the financing does not force us to do anything at 90 days.
Will you be selling FXCM?
I absolutely do not plan on selling FXCM. Like I said we will be selling non-core assets but no I don’t plan on selling FXCM. That is also why we implemented the shareholder rights plan to prevent a hostile takeover. FXCM has been independent for over 15 years and we intend to stay that way.
Are client funds safe with FXCM?
Yes. As we have said, we believe FXCM’s systems operated properly during this event. I’ll stress it here again, FXCM is not insolvent, has not filed for any form of bankruptcy, and is in compliance with all regulatory capital requirements in the jurisdictions in which it operates. The financing we received from Leucadia has strengthened our balance sheet and gives us the opportunity to grow our core business. With Leucadia, our pockets are even deeper and we aren’t going anywhere. Additionally, all of our regulated entities except the U.S. provide clients with segregated funds. All of our global client base in our regulated entities minus US clients would be protected under a bankruptcy. Our UK regulated entity through the FSCS even offers clients £50,000 per person in protection. Canada has similar insurance for retail traders of up to $1 million CAD.
What are the relationships like with your liquidity providers after this event?
Many of these relationships are long-standing relationships. The entire industry took a hit here. They understand what happened. Most everyone halted trading in EUCHF, but half of our liquidity providers kept providing prices in all other pairs the entire time. Half of the LPs did stop pricing FXCM on Friday January 16th, but most have returned. We presently only have two providers that have not yet returned, but we are optimistic that they will soon return. There is still plenty of liquidity on the platform. Most banks and other liquidity providers have been working very closely with the FXCM team.
Where do you see FXCM in six months from now?
We will be well on our way to paying down the loan and continue to grow our core franchise. FXCM still has the best platform for retail traders, we still provide the fairest and more transparent execution in the business and we have a slew of new trading indicators and applications that no one in the space is even considering offering their clients. We’ll still be here; We may just look a little different. Here are a few things we are working to get out in the next six months:
Single Share CFDs – We are going to be offering the top 200 or so most traded US, UK, French and German stocks. We are going to offer these shares on the equivalent of NDD in FX.
Improving CFD execution – Sharpening execution capabilities to match some of the benefits of our FX capabilities for Index and Energy CFDs to remove restrictions on stops and limits, allowing APIs, along with tighter spreads.
Market Depth in FX – clients will be able to see the depth of liquidity which will provide them more transparency with execution quality and allow them to make more informed trading decisions.
Real Volume indicators – clients will have a real volume ticker of all trades done on the FXCM system, which will show clients’ actual order flow; they can see directional volume, so long, short, net or total volume as well as balance on volume per instrument; and finally we have an indicator to show the ratio of real volume divided into transactions per period. These indicators will let clients compare our trading activity against other independent providers who also publish volumes like the CME, and clients will be able to compare execution.
Sentiment Index – We will be providing FXCM’s client sentiment data in real-time as a default on the platform so clients can see where the rest of the clients are.
These software updates and platform features are bringing much more transparency to the retail FX market aimed at improving the client experience in the market.
With your stock price so low, is that an indication of the health of your company?
While it is true that FXCM’s stock price dropped after the events of January 15th, we do not believe that the present stock price is indicative of the health of the company. The stock price does not impact our day to day operations as a company. With the injection of cash from the Leucadia financing, the core retail business is functioning completely as normal. We have excess regulatory capital in all our regulated entities and never had to pause trading or interrupt client’s trading experience. As we announced in our business update, daily volume on the retail side was on pace to set an all-time company record.
Why didn’t the dealing desk brokers have these types of losses?
A dealing desk broker does not have offsetting trades. If the customer is long a trade the broker is short that trade, so when the customer makes a profit on a trade the broker loses. When the customer loses on the trade then the broker is profitable.
Obviously on January 15th most clients lost money so the dealer was very profitable. Even for clients that blew through their stops and had negative balances with these firms, the dealer doesn’t have a liquidity provider that it owes money to. They can essentially act like the negative balances never happened and enjoy their profits.
What is FXCM changing with regards to their risk management systems?
The primary change we will be making is removing currency pairs from the platform that carry significant risk due to over-active manipulation by their respective government either by a floor, ceiling, peg or band. Given what happened with EUCHF the industry is now looking very hard at any potentially similar issues, especially given the increased geopolitical risks in Southern and Eastern Europe.
We will also be raising margin requirements for other pairs as well. Some of these changes will be permanent while others may change as geopolitical risks change. The pairs we are removing from the platform were not material to our volume or our revenue. Some of the currencies we are removing include DKK, SGD, HKD, PLN and CZK.
FXCM made some material changes in margin requirements for clients. Are those changes permanent or temporary in nature?
When you look at some of the changes we made to margin requirements, look at them in three different categories: 1. Some of the changes we made were required by regulators, and therefore we had to comply with these changes. 2. When you look at emerging market currencies, the banks and our liquidity providers were raising margin requirements to eliminate any potential risk of large gaps. 3. Previously liquid Western country currencies, like the DKK or CHF, which now carry risk because they are manipulated currencies, have become less liquid.
Despite what the media thinks about leverage, we know the clients like it and want more, it’s the number 1 or number 2 request our sales staff has been getting the past week. We understand the importance of this to our clients but we just need to be smart about it moving forward.
What is Black Thursday’s long-term impact on the retail foreign exchange industry? In what ways has it changed the direction the industry is going?
Banks are raising their margin requirements, too. A lot of these currencies that carry any type of geopolitical risk with them are going to lose support and liquidity. Investors always had little faith in emerging market currencies but always believed in Western countries’ currencies even if they were manipulated in some way, but that’s gone.
Switzerland is a Western country and if they can pull the shenanigans they did with their currency, what’s to say other western countries won’t do the same? The market is going to be very sceptical as they can only stand to lose; The risk is just too high now. It’s too bad really as these pairs historically had low volatility, were range-bound and were very profitable trades for clients.
submitted by JasonRogers 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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