ABC Pattern or the 123 chart pattern - Forex Strategies ...

3.3 How to implement strategies in M language

3.3 How to implement strategies in M language

Summary

In the previous article, we explained the premise of realizing the trading strategy from the aspects of the introduction of the M language , the basic grammar, the model execution method, and the model classification. In this article, we will continue the previous part, from the commonly used strategy modules and technologies. Indicators, step by step to help you achieve a viable intraday quantitative trading strategy.

Strategy Module


https://preview.redd.it/a4l7ofpuwxs41.png?width=1517&format=png&auto=webp&s=3f97ea5a7316edd434a47067d9b76c894577d01d

Stage Increase

Stage increase is calculating the percentage of current K line's closing price compare with previous N periods of closing price's difference. For example: Computing the latest 10 K-lines stage increases, can be written:
1234
CLOSE_0:=CLOSE; //get the current K-line's closing price, and save the results to variable CLOSE_0. CLOSE_10:=REF(CLOSE,10); //get the pervious 10 K-lines' closing price, and save the results to variable CLOSE_10 (CLOSE_0-CLOSE_10)/CLOSE_10*100;//calculating the percentage of current K line's closing price compare with previous N periods of closing price's difference. 

New high price

The new high price is calculated by whether the current K line is greater than N cycles' highest price. For example: calculating whether the current K line is greater than the latest 10 K-lines' highest price, can be written:
12
HHV_10:=HHV(HIGH,10); //Get the highest price of latest 10 K-lines, which includes the current K-line. HIGH>REF(HHV_10,1); //Judge whether the current K-line's highest price is greater than pervious K-lines' HHV_10 value. 

Price raise with massive trading volume increase

For example: If the current K line's closing price is 1.5 times of the closing price of the previous 10 K-lines, which means in 10 days, the price has risen 50%; and the trading volume also increased more than 5 times of the pervious 10 K-lines. can be written:
1234567
CLOSE_10:=REF(CLOSE,10); //get the 10th K-line closing price IS_CLOSE:=CLOSE/CLOSE_10>1.5; //Judging whether the current K Line closing price is 1.5 times greater than the value of CLOSE_10 VOL_MA_10:=MA(VOL,10); //get the latest 10 K-lines' average trading volume IS_VOL:=VOL>VOL_MA_10*5; //Judging whether the current K-line's trading volume is 5 times greater than the value of VOL_MA_10 IS_CLOSE AND IS_VOL; //Judging whether the condition of IS_CLOSE and IS_VOL are both true. 

Price narrow-shock market

Narrow-shock market means that the price is maintained within a certain range in the recent period. For example: If the highest price in 10 cycles minus the lowest price in 10 cycles, the result divided by the current K-line's closing price is less than 0.05. can be written:
1234
HHV_10:=HHV(CLOSE,10); //Get the highest price in 10 cycles(including current K-line) LLV_10:=LLV(CLOSE,10); //Get the lowest price in 10 cycles(including current K-line) (HHV_10-LLV_10)/CLOSE<0.05; //Judging whether the difference between HHV_10 and LLV_10 divided by current k-line's closing price is less than 0.05. 

Moving average indicates bull market

Moving Average indicates long and short direction, K line supported by or resisted by 5,10,20,30,60 moving average line, Moving average indicates bull market or bear market. can be written:
123456
MA_5:=MA(CLOSE,5); //get the moving average of 5 cycle closing price. MA_10:=MA(CLOSE,10);//get the moving average of 10 cycle closing price. MA_20:=MA(CLOSE,20);//get the moving average of 20 cycle closing price. MA_30:=MA(CLOSE,30);//get the moving average of 30 cycle closing price. MA_5>MA_10 AND MA_10>MA_20 AND MA_20>MA_30; //determine wether the MA_5 is greater than MA_10, and MA_10 is greater than MA_20, and MA_20 is greater than MA_30. 

Previous high price and its locations

To obtain the location of the previous high price and its location, you can use FMZ Quant API directly. can be written:
123
HHV_20:=HHV(HIGH,20); //get the highest price of 20 cycle(including current K line) HHVBARS_20:=HHVBARS(HIGH,20); //get the number of cycles from the highest price in 20 cycles to current K line HHV_60_40:REF(HHV_20,40); //get the highest price between 60 cycles and 40 cycles. 

Price gap jumping

The price gap is the case where the highest and lowest prices of the two K lines are not connected. It consists of two K lines, and the price gap is the reference price of the support and pressure points in the future price movement. When a price gap occurs, it can be assumed that an acceleration along the trend with original direction has begun. can be written:
12345678
HHV_1:=REF(H,1); //get the pervious K line's highest price LLV_1:=REF(L,1); //get the pervious K line's lowest price HH:=L>HHV_1; //judging wether the current K line's lowest price is greater than pervious K line's highest price (jump up) LL:=H1.001; //adding additional condition, the bigger of the price gap, the stronger the signal (jump up) LLL:=H/REF(L.1)<0.999; //adding additional condition, the bigger of the price gap, the stronger the signal (jump down) JUMP_UP:HH AND HHH; //judging the overall condition, whether it is a jump up JUMP_DOWN:LL AND LLL; //judging the overall condition, whether it is a jump down 

Common technical indicators

Moving average

https://preview.redd.it/np9qgn3ywxs41.png?width=811&format=png&auto=webp&s=39a401b5c9498a13d953678c0c452b3b8f6cbe2c
From a statistical point of view, the moving average is the arithmetic average of the daily price, which is a trending price trajectory. The moving average system is a common technical tool used by most analysts. From a technical point of view, it is a factor that affects the psychological price of technical analysts. The decision-making factor of thinking trading is a good reference tool for technical analysts. The FMZ Quant tool supports many different types of moving averages, as shown below:
1234567
MA_DEMO:MA(CLOSE,5); // get the moving average of 5 cycle MA_DEMO:EMA(CLOSE,15); // get the smooth moving average of 15 cycle MA_DEMO:EMA2(CLOSE,10);// get the linear weighted moving average of 10 cycle MA_DEMO:EMAWH(CLOSE,50); // get the exponentially weighted moving average of 50 cycle MA_DEMO:DMA(CLOSE,100); // get the dynamic moving average of 100 cycle MA_DEMO:SMA(CLOSE,10,3); // get the fixed weight of 3 moving average of closing price in 10 cycle MA_DEMO:ADMA(CLOSE,9,2,30); // get the fast-line 2 and slow-line 30 Kaufman moving average of closing price in 9 cycle. 

Bollinger Bands


https://preview.redd.it/mm0lkv00xxs41.png?width=1543&format=png&auto=webp&s=a87bdb4feecf97cbeef423b935860bfea85ffe6d
Bollinger bands is also based on the statistical principle. The middle rail is calculated according to the N-day moving average, and the upper and lower rails are calculated according to the standard deviation. When the BOLL channel starts changing from wide to narrow, which means the price will gradually returns to the mean. When the BOLL channel is changing from narrow to wide, it means that the market will start to change. If the price is up cross the upper rail, it means that the buying power is enhanced. If the price down cross the lower rail, it indicates that the selling power is enhanced.
Among all the technical indicators, Bollinger Bands calculation method is one of the most complicated, which introduces the concept of standard deviation in statistics, involving the middle trajectory ( MB ), the upper trajectory ( UP ) and the lower trajectory ( DN ). luckily, you don't have to know the calculation details, you can use it directly on FMZ Quant platform as follows:
1234
MID:MA(CLOSE,100); //calculating moving average of 100 cycle, call it Bollinger Bands middle trajectory TMP2:=STD(CLOSE,100); //calculating standard deviation of closing price of 100 cycle. TOP:MID+2*TMP2; //calculating middle trajectory plus 2 times of standard deviation, call it upper trajectory BOTTOM:MID-2*TMP2; //calculating middle trajectory plus 2 times of standard deviation, call it lower trajectory 

MACD Indicator


https://preview.redd.it/9p3k7y42xxs41.png?width=630&format=png&auto=webp&s=b1b8078325fc142c1563a1cf1cc0f222a13e0bde
The MACD indicator is a double smoothing operation using fast (short-term) and slow (long-term) moving averages and their aggregation and separation. The MACD developed according to the principle of moving averages removes the defect that the moving average frequently emits false signals, and also retains the effect of the other good aspect. Therefore, the MACD indicator has the trend and stability of the moving average. It was used to study the timing of buying and selling stocks and predicts stock price change. You can use it as follows:

DIFF:EMA(CLOSE,10)-EMA(CLOSE,50); //First calculating the difference between short-term moving average and long-term moving average. DEA:EMA(DIFF,10); //Then calculating average of the difference. 
The above is the commonly used strategy module in the development of quantitative trading strategies. In addition, there are far more than that. Through the above module examples, you can also implement several trading modules that you use most frequently in subjective trading. The methods are the same. Next, we began to write a viable intraday trading strategy.

Strategy Writing

In the Forex spot market, there is a wellknown strategy called HANS123. Its logic are basically judging wether the price breaks through the highest or lowest price of the number of K lines after the market opening

Strategy logic

  • Ready to enter the market after 30 minutes of opening;
  • Upper rail = 30 minutes high after opening ;
  • Lower rail = 30 minutes low after opening ;
  • When the price breaks above the upper limit, buy and open the position;
  • When the price falls below the lower rail, the seller opens the position.
  • Intraday trading strategy, closing before closing;

Strategy code

12345678910111213
// Data Calculation Q:=BARSLAST(DATA<>REF(DATA,1))+1; //Calculating the number of period from the first K line of the current trading day to current k line, and assign the results to N HH:=VALUEWHEN(TIME=0930,HHV(H,Q)); //when time is 9:30, get the highest price of N cycles, and assign the results to HH LL:=VALUEWHEN(TIME=0930,LLV(L,Q)); //When time is 9:30, get the lowest price of N cycles, and assign the results to LL //Placing Orders TIME>0930 AND TIME<1445 AND C>HH,BK; //If the time is greater than 9:30 and lesser than 14:45, and the closing price is greater than HH, opening long position. TIME>0930 AND TIME<1445 AND C=1445,CLOSEOUT; //If the time is greater or equal to 14:45, close all position. //Filtering the signals AUTOFILTER; //opening the filtering the signals mechanism 

To sum up

Above we have learned the concept of the strategy module. Through several commonly used strategy module cases, we had a general idea of the FMZ Quant programming tools, it can be said that learning to write strategy modules and improve programming logic thinking is a key step in advanced quantitative trading. Finally, we used the FMZ Quant tool to implement the trading strategy according a classical Forex trading strategy.

Next section notice

Maybe there are still some confusion for some people, mainly because of the coding part. Don't worry, we have already thought of that for you. On the FMZ Quant platform, there is another even easier programming tool for beginners. It is the visual programming, let's learn it soon!
submitted by FmzQuant to CryptoCurrencyTrading [link] [comments]

How to assemble lots of csv files into a master workbook for Power Query?

Hello excel
I have a web scrapper collecting data into a csv. The csv file is named with the day’s date that the data came from and so is the sheet inside it that holds the data. Here is what that looks like -> I have been collecting data for 14 days, hence I have 14 csv files.
What’s in the csv file? Size in column A, price in column B, and a timestamp (h:mm:ss.000) in column C. I am collecting trade data from the USD-AUD Forex market.

A (Size) B (Price) C (Time)
1 500 $1.48 18:00:37.564
2 1200 $1.47 18:01:45.123
This is oversimplified, as there are tens of thousands of rows sometimes. I would like to run analysis on this data, I am curious as to the best practice for organizing this data for analyzation via power query and power pivot?
Current method is creating a master xlsx file, then I open up each csv file one by one and use the ‘move/copy’ to create a copy in this master workbook. Now that I have all the data sorted in sheets that are labeled with the dates they came from, I am wondering if I am doing this the best way or if I should be loading them in through power query or something. I am fairly new to power query and power pivot but I learn very quick.
Would a database be a better idea for this data? Each market generates around 30-80k trades on an average day, however that can approach 200k to 400k rows when there is volatility.
I welcome any analytical advice you might have, especially if you're a trader. I am attempting to look at the coupling/decoupling of several markets, this being one, as a potential tool for trading targets and am open to any suggestions on how analyze this.
submitted by LavishManatee to excel [link] [comments]

GBPJPY Trend Invalidation Signals and Contingency Plans

GBPJPY Trend Invalidation Signals and Contingency Plans
Took multiple losses on GBPJPY as it ran through all the trend continuation setups, and the persistence of how it has done this move is something that gives us reason to re-assess trade plans, and be diligent on risks as well as opportunities the conditions we are now in may present.

I feel like I've seen this movie before. Usually when getting squeezed in a trend continuation, there are a few hits you have to take and then there is a big pay off. As a general rule, the better the move will be the harder it is to position for. So early losses on this were all within the acceptable margin of error in this strategy (I think I also made setup errors, which was bad. I can do better on that). After we ran some more setups (that looked fully valid at time of execution), I noped out. Stopped selling, and waited to see what happened.

Last time I remember being on the wrong side of such a fierce move of this form on GBPJPY was similar. Done well shorting, scalped some buys at a support, then reversed into the "correction" - and it went parabolic against me. I remember this well, because in the coming week there were news reports of the GBP having it's best day/week in a yeadecade (I forget specifics, but GBP was in the news for the rally). In the week after that, the high was made .... because that was when Brexit happened.

What happened there, from a charting perspective, is we went into a 2 week corrective cycle and then started another impulsive wave. If this happens we may see something spectacular in GBPJPY in the near term. This may feature a record breaking rally (or at least strong one) into 145, and even 155 (current price 130). From there, we may start a new trend taking the market into the large chart forecasts of 89 and 61.

I can retire if that happens. Absolutely. I'm going to plan, with various contingencies, for something like that possibly happening. In this post I''ll show what warnings signs we got over the last days as sellers. Where our main dangers will be as buyers. The levels as which we can be more sure buyers have won out in the short term, and also where the possible spikes low could come and how we'd trade them / what we'd do next.

I'll use MT4 charting for this analysis, since it will require a lot of different fibs and patterns assessment, I find fibs on MT4 quicker to work with than cTrader.

The Big Gartley Pattern


So the first thing we want to establish is where the buyers are coming from. Double bottom is accurate, but a bit vague. If we look closer, we can see the daily chart pinging off the 61.8 and 76 fib levels. This would be consistent with a Gartley pattern, and this would be a bullish reversal pattern (If successful). We have a couple probable scenarios here. One is a big break and move lower, and the other is a persistent move up in a small time frame trending chart form.

https://preview.redd.it/ycjwj3bsxmk31.png?width=806&format=png&auto=webp&s=94198bcff8cdf3e9b4cae306496bd91b5477a7f0
Let's look closer and see what the last days of trading have suggested to us about this.
Here is the 1 hour chart around the 76 level.
https://preview.redd.it/1c31uqv4qmk31.png?width=809&format=png&auto=webp&s=47df97d3f4f31238bacbb20282f8495399e01527
We've possibly formed the start of a second trend leg in the recent move up. Our best move here would be wait for a dip, buy into that and then run the trend upwards. We should see more strong moves like today, and these should be in nice structured form giving us easy entries and exits. This would be a good scenario for trading.
If a spike out is to form from this level, we'd now have it in a clear butterfly pattern. So we'd look for a 1.61 extension of this swing giving us a projected low of 125 area. This would be a harder move to trade. We either have to keep selling into the resistance levels and risk multiple small losses, or wait for momentum downwards and use breakout strategies. I feel method one has failed this week. We can perhaps look more at method two in a close under 128 (which will not happen if we are to trend).

https://preview.redd.it/djz31dxdrmk31.png?width=814&format=png&auto=webp&s=ce05f051a785177e7598e8c4f430224183366013
As buyers, the possibility of this take out low move is our main danger. We have to be aware this can happen and it will be a fast move if it does. Risk control is important.

Bullish Scenarios

For now I am going to work on trade plans for if price remains above 128.50 and indicates bullish momentum. I want to work on targets and then reversal areas.

When we use the analysis above and consider we may be entering into big corrective leg, we can consider that this might be a 'ping swing' like move.

https://preview.redd.it/s9fyuyhmsmk31.png?width=813&format=png&auto=webp&s=8aa69ac8b99bbd3874593a60fcf6e76b930be911
Remember the main characteristics of a ping swing. It's very strong. The move is parabolic. There's a spike out of major levels, and then there is an impulse leg.
Weigh that against the price action I described the last time I seen the same setup on GBBPJPY running into Brexit. The market followed that same template of price movements, and then came down in spectacular fashion.
This is where our main opportunity is, and this is where it seem the smart way to be betting is at this time. If the lows made here are taken out, we can look for positions around 125 to load up for this (a spike out and rally is still valid).
In the immediate term, we can just buy dips. Use tight stops and get high RR if it runs up, have very small losses to the downside. A correction from 130.20 to 128.50 gives us a great buying opportunity to get started in this move (buying over 130 but under 130.60 I think is a bad trade. Better to wait)
If we can establish a good buy position and see a ping swing move (which would be 2,000 pips - and GBPJPY can do this without many pullbacks, it's wild) the profit potential on this is enormous. Very small risks can be taken for extreme profits on the other end. If we do this and make good profits in the run up to that, we can then use a portion of these profits to position aggressively on the 61.8 spike out, and maybe have big positions in a decade long breakout to the downside in GBPJPY.
Whether or not there is a spike out low, when buying our first target is 145.00. This is either buying from 128.50 or 125 if that trade does not work out.
It would be very dangerous to sell if there is a spike out low into 125. Selling here could be brutal in the whip against you (as could selling in the leg we have but not getting out quick). For some perspective on this, GBPJPY went from 145 to 160 in only a couple strong trading days the last time we had conditions similar to this. The possibility of this, makes it a bad time to be a seller - horrible time to be a stubborn one.

Wrap up.

No buys 130 - 130.50. Possible buys if there is a break of this.
Sells possible in this area, but risky. Not great RR. I'd not bother.
Buy level 1 - 128.50. 143 could be swing target here.
128 major bear break area. Danger of fast move here. Cut buys.
125 if met in spike, big buying area. Target 143 and stop 123 (tighter with price action).
145 first major upside resis. If we break this, 155.
Absolutely no selling into parabolic moves on GBPJPY at levels not mentioned here, isn't worth it.
submitted by whatthefx to u/whatthefx [link] [comments]

A financial expert's very negative outlook on Bitcoin.

Hello there people of reddit!
I have translated this blog post which I would like to share with you all. The original blog post appeared in a rather famous hungarian financial blog and it posed some interesting questions. It would be really good if the intelligent people of reddit would start a debate on these topics. There is a big learning opportunity here. I personally disagree with many of the points made in the post while I agree with some of them.
I think that it is important to listen to the negative opinions because we can grow from them and we can either strengthen our opinions by disproving the counter-arguments of others or we can formulate and fine-tune our opinions by accepting partial truths from the opposing opinion. (Maybe we can even change our opinions alltogether in some cases) I post this in the hopes of having an intelligent conversation about the topic and it would be a bit sad if this would get downvoted because then the conversation wouldn’t be able to unfold.
I say let's examine the other side, let's look at their arguments, let's try to understand them and let’s try to learn from them so that we may become smarter, better, and more well informed.
Also this can be a very good test if you think about investing in Bitcoin. If this discourages you then your fundamental knowledge of cryptocurrencies or Bitcoin may not be satisfactory yet or you may be thinking about investing with money what you cannot afford to loose
So without further to do here is the actual blog post translated from kiszamolo.hu.
RTT314
I am writing about Bitcoin. I didn’t want to at all but since everybody is talking about it I had to.
Translator's note: There was a previous blog post about Bitcoin which got a massive amount of feedback in the hungarian community.
The general feedback I received about my previous post on Bitcoin wonderfully resembled the the feedback I got when I wrote about Kairos, Emgoldex, Quaestor and Sitetalk. (these were all scams in their times)
In case you don’t have time to read the comments on my previous post I’ll summarize them for you. Its quite simple because people basically write the same thing all over again (Bitcoin or Emgoldex it doesn’t matter.) The comment categories are as follows:
It’s a good idea to look at those people who wrote these comments a few years back. The people of Kairos who came here (to his blog) taunting and showing off their earnings with Kairos. And then all of a sudden it became apparent that it was just another scam and they lost all the money in a heartbeat.
What did I cover in the previous blog post on Bitcoin?
I wrote, that you don’t know anything about Bitcoin, that you don’t know who is behind it or whether there is someone behind it or not. What gives actually Bitcoin’s value? How do we know that its better than the other cryptocurrencies? How do we know if one BTC is expensive for 1000 dollars or cheap? For a long time people bought it for 1 dollar, then for a long time for 100, then 1000 and now 16 thousand. Which price is the realistic one? Or none of it is realistic and its still cheap? How can I find it out?
I have basically nothing at all to which I could compare its price. Just like in the dotcom bubble when it came to evaluating the .com companies. The normal method of evaluation didn’t work when it came to these companies because everybody wanted to think, that these companies can conquer the whole world. And because of that basically no price was too expensive for a share. And then it became apparent, that in fact even a single dollar was too much for 95% of them.
Just because something is revolutionary and new it doesn’t mean that it has value too. Especially when anybody can copy it freely. This happened with the .com companies too. Everybody learned fast, that just because they are innovative and revolutionary they can’t make a profit and most of them didn’t even worth a penny.
And the .com companies were 100 times easier to evaluate than Bitcoin. At least they had expenses, profits, employees, products and patents. You could at least calculate with something.
Why is Bitcoin considered money? Currently it has none of the properties of money - you can’t pay with it everywhere, it’s exchange rate is not stable at all and because of that it is not suitable for accumulating wealth in it (just in the past 12 hours the price of one BTC was between $16.123 and $17.023 and today is one of the calmer days.)
Anybody can invent a newer Bitcoin and people do so too. There’s almost ten times more cryptocurrencies today than normal currencies in the world and almost every day a new one gets listed. This is because anybody can make a cryptocurrency. You don’t have to have a whole country behind it with its total assets, government, and financial traffic. If you have good marketing you will be a millionaire from a new cryptocurrency. Currently there are 1324 cryptocurrencies and there is almost no day when no new ones are added. On the contrary there is only 180 types of traditional currencies in the world.
I also mentioned, that governments can limit the use of cryptocurrencies any time by illegalizing the exchange of cryptocurrencies to real money. And if that happens all cryptocurrencies will be worthless in a blink of an eye.
I don’t want to get into new ideological debates. I just want to place Bitcoin amongst all the hype into the world’s financial traffic. Where does Bitcoin stand compared to the current world’s financial traffic and does it look like a bubble? Will it really change the world’s financial system and will it really change the old technologies?
Bitcoin’s total market cap was 15,49 billion dollars on 2017 January the 1st and what’s at least as important is that the daily traffic volume was 92 million dollars.
https://imgur.com/a/kI0Ru
Bitcoin’s current market cap (17 thousand dollars) is 289 billion dollars and the daily traffic volume is 12.135 million dollars so the daily traffic grew 131-fold since January the 1st.
One of the world’s biggest bank - the Bank of America’s - market cap is also 300 billion dollars and that is accompanied by 2,228 billion dollars worth of assets which gives one of the basis of the actual evaluation. Bitcoin has zero assets. Bank of America every four months (!!!) profits 22,3 billion dollars and one fifth of this is net profit. The profit of Bitcoin is zero and the net profit of Bitcoin is also zero.
Europe’s 16th biggest economy, Finland has a yearly GDP of 236 billion dollars.
If Bitcoin’s market cap doubles again, it’s market cap will be equal to Hungary’s, Ukraine’s, Slovakia’s, Luxemburg’s, Croatia’s, Bulgaria’s and Latvia’s GDP all together. Or at least on paper. (Of course the actual BTC's market cap and the GDP is very different, but i guess you can still feel the nonsense in this)
People make 337 thousand daily transactions with Bitcoin.
Just Visa alone makes 468 million transactions per day and this is just a tiny slice from the total world’s transactions.
The SWIFT system which is used by banks to make international transfers even 12 years ago made 5 thousand billion dollars worth of traffic. Daily.(!) The similiar Fedwire payment system which works in the USA had a daily traffic of 2,1 thousand billion dollars, the CHIPS had 1,4 thousand billion dollars. And these numbers are 12 years old so you can easily double them to get to the present numbers. And this data is only of three clearing houses out of a dozen! All the national clearing houses in total can have multiple hundred times more traffic than these ones.
Even if we would like to use Bitcoin for just one tenth of the traffic of Visa we would soon have to store a few gigabytes then terabytes of data for each Bitcoin. The whole electricity generation and bandwidth of the world wouldn’t be enough if we would want to manage and transmit this much data constantly. (Even now the Bitcoin network uses more power than Bulgaria. The investors who mine Bitcoin spend money mostly on video cards and electricity. The biggest benefitors of Bitcoin are the chinese electricity providers and the video card companies. Even a whole bank system doesn’t use this much electricity and they execute multiple hundred thousand times more transactions than the Bitcoin’s network.)
The technology is unsuitable for microtransactions. There are cryptocurrencies which are suitable for this but what will happen with you investment in Bitcoin when everybody starts to use one of these currencies?
The future of the blockchain technology is completely different from the future price of Bitcoin which currently is just one out of 1324 cryptocurrencies and for which you paid a bunch of money. Somehow the people who kick back and leave their future on the price of Bitcoin don’t want to understand this.
Just so you understand: I don’t argue whether or not blockchain technology (which is used by Bitcoin too) will be used in the future financial system. I argue whether or not one Bitcoin values 17 thousand dollars or even one dollar as a matter of fact.
Do you think there will be a single bank which will choose exactly Bitcoin when it wants to switch to this new technology when Bitcoin is a completely unsuitable candidate? Or do you think that the bank will choose another cryptocurrency? Won’t the bank simply make its own one?
The total value of all the dollar bills in circulation is 1,59 trillion dollars or 1590 billion dollars. If we look at the M3 (unbounded money in bank accounts, bills etc.) instead of only the bills we get 11 trillion dollars. But even this is only a tiny bit compared to the total assets in the american economy which is 220 trillion dollars.
The daily size of the forex market is (!) 5.100.000.000.000 dollars.
So think again when you see numbers which suggest that Bitcoin is the future. I wrote these numbers just so you can get a sense of the big Bitcoin which is about to knock down the world’s banking system. Just so you can understand the big Bitcoin’s place in the financial food chain.
I’d also like to talk about a common misconception. Many people think that the value of Bitcoin comes from the fact that it’s very expensive to maintain. The mining is expensive. This is called an expense and it has no relation to value whatsoever. Things don’t represent value because they are costly to maintain. This is exactly the opposite of value. The more expensive is something to maintain the less valuable it is. Companies which have small costs value more than companies which have big costs with the same profits.
There’s an old trick in the stocks market called pooling. A few scammers organize into a pool, they choose a smaller stock and they start to trade amongst each other with higher and higher prices. They just have to be careful not to catch attention. They have to increase the price gradually and slowly and the pool has to be big enough in order to stay undetected.
When the whole world goes crazy because of the huge gains on the pooled stock and when everybody wants to be a part of the miracle the pool quietly sell the whole stack of stocks and disappear.
The “investors” which are driven by greed don’t even care about the fact that the evaluation of the stock flied far above the actual value of the stock. How much simpler is this whole move when the given thing doesn’t even have a quantifiable value to which you can compare it to? Bitcoin is exactly like this.
I wonder how are Bitcoins divided amongst the wallets? Could you drive up its value by getting into pools? You can’t drive up its value because it doesn’t even have any inherent value. The value of Bitcoin only comes from the people who are willing to pay for it. Bitcoin only has a price because people want to look at it as money even if it cannot function as money.
The american dollar will have value until the United States exists and its government collects taxes in dollars from the world’s biggest economy and it pays its payouts in dollars. And if someone doesn’t want to pay the requested taxes in dollars the government has the power to imprison the person.
The expression of total financial ignorance is when the believers of Bitcoin state that the real currencies are also based on nothing. The real currencies are just paper too without any value. Every real currency is backed by real value: the given country’s economy, assets, government, tax system give real value to the real currency. No cryptocurrency can present anything like this ever because cryptocurrencies are made out of thin air.
Real currencies can function exactly because of this: because they have value too not just a price. This is why they can be a store of value, this is why they can be accepted in trade. Because tomorrow they will be worth just as much as today. They’re not just empty ping pong balls which are moved based on the needs and wants of the buyer. Potentially 10-20% per day.
(Just for the sake of the smartpants: of course after world wars a real currency can lose value too just like how the syrian fiat lost value too when the value was essentially bombed out of it. The country’s economy collapsed and half of the taxpayers died or fled out of the country. But even this shows exactly the fact, that the price of the currency changes if the inherent value changes. And also the the price of the safety fiats (swiss franc) can be pumped up if investors are panicking. But we only know that their price is high compared to what their value is because it has a value.)
Just because I invent the Reddit coin and create a lot but finite real physical coins it won’t be a currency which has value. Not even if the coins are unfalsifiable. Not even if there will be people who are willing to pay real money for my coins. Not even if other people realize that they can make coins just like me any time (that’s why there are already 1324 types of cryptocurrencies on the market) It won’t be real money even if following the current trend I create this Reddit coin as a cryptocurrency. Money doesn’t become money because I say its money. Neither does it become money because other people believe its money.
But let's take a look at the bitcoin wallets amongst the investors:
https://imgur.com/a/WN163
So basically 97,2% of the wallets doesn’t even own a single bitcoin! And 55,5% of the wallets doesn’t even contain 0,001 bitcoin!
Of course a wallet is not necessarily a person but its apparent that there are many small fish in the sea of Bitcoin. It's good to know this when you read all the comments from the people who try to defend Bitcoin no matter what. Most of them don’t even own 700 bucks worth of bitcoin but they will become rich for life from this investment.
0,01% of the investors - 1.677 people own nearly 40% of the total bitcoins available. (Or it may be that these 1.677 wallets are owned by one person or twenty. We can’t even know that) but even 85% of the total bitcoins is in less than 1% of the wallets. In stocks lingo this is called a low free float.
These people are the ones who manipulate the prices however they want it to. But of course they don’t want it to because why would they want such a thing? The prices are rising just because Bitcoin is the future.
If Bitcoin wouldn’t be the Holy Bitcoin it would be simply called a Ponzi scheme. How does a Ponzi scheme look exactly? They build up a system which is new, which is alluring and about which people can believe that it’s the future. From this you’ll become rich. If you pay enough money now then you’ll be the part of the money rain too. Until more people are buying in than out the Ponzi scheme works great. Nobody realizes that there’s nothing behind it. Just the money of the depositors gives it value.
Bitcoin is genial because it never even stated that there is some sort of value behind it so you can’t even expect it in the first place. Until more people want to put money in than out the price of Bitcoin will rise. I’ll say this again Bitcoin is alive because people want to treat it as money. “This is the money of the future, you are lagging behind if you don’t understand this. Why do you try to find the inherent value of it and the evaluation of it? You are an old prick who has no clue. This is a new world. Deal with it. You have to just believe this and don’t ask any questions.” Do you know how many times have I heard this from the faithful “investors” of the kairos, sidetalk, emgoldex ponzi schemes?
A lot of people wait a lot from the december 18th stock appearance of Bitcoin but it can bring more bad than good. If the big speculators start to go hard on it they can double the price or drag it down to 0 within days. It's rather easy for them because there is no value behind it. Just a price tag. If the British Pound was attacked what do you think what will they do with Bitcoin? Here there is no national bank which will change the interest rates or pull other tricks from its sleeves to defend its own currency from falling or from a rising. Also here the investors won’t be able to say that a bitcoin is definitely worth more than this or not because the whole english economy is not behind it so they don’t have a guide for its inherent value. If Bitcoin was volatile so far you can prepare yourself for even bigger storms.
You think whatever you want and you pay money for whatever you want. You know what? Even I’m telling you that knowing the madness, dumbness, and greed of people it is not unimaginable that Bitcoin will rise to 150 thousand dollars within the next year. But not because its value is that much but because there are too many greedy people who feel like they were left out of a great opportunity but it's not too late to jump in.
But also don’t be amazed if its price will be 1 dollar again.
submitted by RTT314 to Bitcoin [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
Generated with BBoe's Subreddit Stats (Donate)
submitted by subreddit_stats to subreddit_stats [link] [comments]

(NEW) Auto Cash Secret - Binary Options Trading Software Released to Public {2015}

Have you recently heard about the Auto Cash Secret? You've come to the right place my friend! I'm going to show you exactly why the Auto Cash Secret is the binary options system you have bee waiting for. What are you waiting for? Click the link below to start profiting!
CLICK HERE TO USE AUTO CASH SECRET SYSTEM FREE TODAY
If you're still reading this, you shouldn't be. You could potentially miss out on the opportunity to use this software first hand before it is closed with the public. Personally, I have used this to win 95% of my trades. I was able to quit my job and travel the world freely as I please and you can do the same!
CLICK HERE TO USE AUTO CASH SECRET SYSTEM FREE TODAY
auto cash secrets, auto cash secret club, auto secret price, auto secret compartment, binary options no deposit bonus binary options trading binary options signals binary options broker binary options trading binary options trading signals binary options brokers in the us binary options trading system binary options signals binary options strategies binary options scam binary options trading brokers binary options brokers binary options trading reviews binary options demo binary options signals binary options edge binary options canada binary options strategies binary options robot binary options brokers binary options forum binary options demo account binary options indicator binary options 24 blog binary options daily binary options no deposit bonus binary options software binary options reviews binary options pro signals binary options 24 binary options bullet binary options buddy binary option是什么 binary options 中文 binary options trading binary options strategies binary options canada binary options trading signals binary options software binary options demo binary options pro signals binary options trading singapore binary options virtual atm binary options vic binary options china binary options bullet binary options sites binary options method binary options forex trading binary options brokers binary options low deposit binary options trading binary options no deposit bonus binary options indonesia binary options free binary options trading strategy binary options trading signals binary options trading strategy software binary options trading software binary options no deposit bonus 2015 binary options trading free money binary options trading no deposit binary options demo account binary options free welcome bonus binary options trading profitable binary options no deposit binary options directory binary options auto trader binary options bonus binary options signals free trial binary options signals binary options trading binary options full binary options forum binary options demo binary options broker binary options no deposit bonus binary options platform binary options signals review binary options daily binary options indicators binary options robot отзывы binary options affiliate program binary options brokers rating binary options affiliate binary options trading strategy binary options signals free binary options trading system binary options signals software binary options حلال binary options signals binary options شرح binary options no deposit bonus binary options robot binary options strategy binary options ماهو binary options demo account free binary options حلال ام حرام binary options forums binary options review binary options signals free binary options indicator mt4 binary options brokers binary options demo account binary options no deposit bonus 2014 binary options trading binary options forum binary options trading signals binary options คือ binary options signal binary options strategy binary options trading binary options thailand binary options signals binary options brokers binary options trading signals binary options demo account auto cash secret 123, auto secrets, auto secretary, auto secretary job description, auto secret compartments, auto cash secret surveys, auto cash secrets, auto cash secrets,
submitted by psncodes4free to XPLOITS [link] [comments]

The 123 Pattern as one of the Forex Indicators - YouTube 123 Trading Method Review How to Trade 123 Top and Bottom Formations - YouTube MUST WATCH - Successful Forex Trader Shares His Simple 1-2 ... How to use 123 swing trading system - Best Breakout forex ...

1 The 123 Forex Swing Trading Strategy. 1.0.1 Short Entry Rules: 1.0.2 Long Entry Rules: 1.0.3 Trade Management: 1.0.4 Advantages: 1.0.5 Disadvantages: 1.0.6 Forex Trading Strategies Installation Instructions; 1.0.7 Recommended Forex Metatrader 4 Trading Platform; 1.0.8 How to install The 123 Forex Swing Trading Strategy? The forex 1-2-3 price action pattern trading is most simple yet powerful forex strategy you’ll ever find. It work best when the patterns follow the direction of trend (it also works against the trend). The pattern is also easy to identify on the chart and you can find it every day. The 123 Forex trading strategy is based on price action and normal Forex market structure that any trader should know. The 1 2 3 trading strategy is used as a continuation trading setup that is designed to take advantage of the trend of the market. The failure of the 123 trading strategy is also a trade setup but can also warn you of potential price consolidation in the market or even a trend ... 123 Trading Method A Simple Strategy For Trading Cfds, Cryptocurrencies, Currencies, Forex, Futures and Stocks. Home; 123 Trading Course Log In; Trading Resources; Social Trading Platforms; Welcome to 123 Trading Method. Welcome to my blog about the 123 Trading Method and other videos and articles about trading and investing. I look for new information and news every day about this fascinating ... If you're trading a 123 low you will be placing a pending long and you will have to allow for the spread. Remember that on the longer time frames, the spread may actually fluctuate before the entry is made. I like to trade this using a forex 1hr chart strategy. Advantages of the 123 Chart Pattern Forex Trading Strategy. a very easy price action trading system with really simple trading rules. in a good and strong trending market, you can use multiple 123 chart patterns setup and add more trades as trend continue thus pyramiding your way to increase profits. Disadvantage of the 123 Chart Pattern Forex Trading Strategy . sometimes the breakout ... ABC Pattern or the 123 chart pattern:The 123 pattern is areversal chart pattern which occurs very frequently and has a veryhigh success ratio. 123’soccur at the end of trends and swings, and they are an indication ofa change in trend. They can also be found within a trading range, andthey take place when the directional momentum of a trend isdiminishing.

[index] [13661] [5853] [6922] [22714] [12787] [27252] [1359] [26559] [3244] [16651]

The 123 Pattern as one of the Forex Indicators - YouTube

Visit http://elliottwavenuggets.com for FREE basic and advanced trading methods and forex tips and tricks. The 123 Pattern, or the 123 Trade is explained in ... To trade the 123 trading method for the forex, futures and stock markets. Bonuses!!! Sean's Link Magnet Special Report ($47 Value) Video Assassin 2.0 (Value $97) Super Simple Squeeze Page System ... In this week's Learn Trading series: How to trade 123 Tops and Bottoms, which are pure Support and Resistance formations popularized by Ken Roberts in the ea... How to use 123 swing trading system - Best Breakout forex trading strategy \\\\\ The 123 Forex trading strategy is base... Simple 1-2-3 Forex Trader was created to help traders simplify their trading.But one of our highly successful trader has taken this simplification to a whole ne...

https://binary-optiontrade.handliracanydup.ml