CM2005代做、代写Python/c++语言编程

日期：2024-01-07 06:35

CM2005 Object Oriented

Programming mid term assignment

Introduction

The goal for this assignment is to develop a command-line technical analysis toolkit for the

exchange platform.

TASK 1: Compute candlestick data

Candlesticks are a common visualisation used to show the trends in a trading system. The

candlesticks show what happens in a series of time windows, in terms of the starting price, the end

price and the highest and lowest prices seen. The following image shows a graphical plot of

candlestick data:

Figure 1: example of a graphical candlestick plot. Each box represents the trading activity in a time period. The top and

bottom of a box (the candle) represent the opening and closing value of a product. The top and bottom of the lines (the

candlesticks) represent the highest and lowest value seen in that time frame. The red box on May 3rd indicates the value

was lower at close than open, so value went down. You do not need to make a graphical plot – you will be making a text

based plot.

In the first task, you need to compute candlestick data from the exchange data for a particular

product. Here is an example of the fields needed for candlestick data:

Date Open High Low Close

2023-05-01 100 120 80 110

2023-05-02 110 130 100 120

2023-05-03 90 100 70 80

2023-05-04 95 110 70 100

2023-05-05 80 120 75 115

Note that you will need to do this separately for asks and bids, and separately for different products.

So the table above might be the candlestick data for ‘asks on ETH/UDST’, for example.

Here is how you can compute each field:

Open = the average price per unit in the previous time frame. So say we want to compute the value

for ETH/USDT asks from the list of items from the order book, which are all asks for ETH/USDT:

Amount Price Value (price X amount)

10 1 10

5 2 10

TOTAL 15 3 20

MEAN price (total value / total

price): 6.67

You can see that the mean price is 6.67.

Close: the average price per unit in this time frame (same as Open, but for the current time frame)

High: highest price seen this time frame

Low: lowest price seen this time frame

You should implement the candlestick data computation using a function which returns the

following data type:

std::vector<Candlestick>

Note that it returns a vector of Candlestick objects. You will need to define your own Candlestick

class that is suitable for representing candlestick data. One Candlestick object represents one

candlestick.

TASK 2: Create a text-based plot of the candlestick data

The second task involves creating a text-based plot of the candlestick data. The figure above shows

an example of a graphical plot. You should try and create something like that using text output. We

recommend that you approach this by first manually typing out what kind of characters you might

use in your plot to represent different things. Use your text editor to do this. E.g. you might use a ‘-’

to represent the top of a box and a ‘|’ to represent the stalk. Once you know what you are aiming for,

you should write C++ function that takes a vector of Candlestick objects as its input and generates a

plot from that data. You will need to cope with quite a few problems here – for example, how can

you round the data so it is an appropriate range for your text-based plotter? How can you deal with

horizontal and vertical positioning? You should attempt to use object-oriented techniques to make

your code as neat and well organised as possible.

TASK 3: Plot a text graph of some other trading data

Task 3 involves plotting a text-based graph of some other trading data. It is up to you to decide what

that data is, but it should be somehow derived from the crypto-currency data. Again, you need to

plot it using text characters, and you should probably start by manually creating the text graph in

your text editor so you know what you are aiming for, as we suggested for the previous task.

What to submit:

A PDF file containing your report, wherein you should describe how you carried out each task.

A zip file containing your code, ideally so it can be easily built and run

A PDF file containing all code. You can concatenate all cpp and h files into a single text file then

save as a PDF.

A statement typed into the prompt on the Coursera platform which identifies aspects of your work

that were challenging/ original/ creative/ exceptional.

A video demonstrating your code running

Marking criteria

Item

Code style: indentation, descriptive comments 5

TASK 1: Compute candlestick data CODE 10

TASK 1: Compute candlestick data DESCRIPTION 3

TASK 2: Create a text-based plot of the candlestick data CODE 10

TASK 2: Create a text-based plot of the candlestick data

DESCRIPTION 3

TASK 3: Plot a text graph of some other trading data CODE 10

TASK 3: Plot a text graph of some other trading data

DESCRIPTION 3

Submit correct items: code as text in PDF, report as PDF, zip file of

code and video 6

Originality and challenge of implementation 10

Clearly label all sections of the code that you personally wrote

without assistance

2

TOTAL 62

Note that we will use all the submitted items to evaluate your work.