FinPy

The CCI compares the  current price  to an  average price  over a period of time. The indicator fluctuates above or below zero, moving into positive or negative territory. While most values, approximately 75%, fall between -100 and +100, about 25% of the values fall outside this range, indicating a lot of weakness or strength in the price movement. CCI is calculated with the following formula: (Typical Price - Simple Moving Average) / (0.015 x Mean Deviation) When the CCI is above +100, this means the price is well above the average price as measured by the indicator. When the indicator is below -100, the price is well below the average price. A basic CCI strategy is used to track the CCI for movement above +100, which generates  buy signals , and movements below -100, which generates  sell  or  short  trade signals. Investors may only want to take the buy signals, exit when the sell signals occur, and then re-invest when the buy signal...

Moving average is a simple, technical analysis tool. Moving averages are usually calculated to identify the trend direction of a stock or to determine its support and resistance levels. It is a trend-following — or  lagging — indicator because it is based on past prices. There are various types of moving averages, like SMA & EMA so I tried to create a moving average indicator in which I have plotted 2 moving averages with the help of historical data. A simple moving average (SMA) is a calculation that takes the arithmetic mean of a given set of prices over the specific number of days in the past; for example, over the previous 15, 30, 100, or 200 days. Exponential moving averages (EMA) is a weighted average that gives greater importance to the price of a stock on more recent days, making it an indicator that is more responsive to new information.   # Load the necessary packages and modules from  pandas_datareader  import  data...

Net present value (NPV) is the difference between the present value of cash inflows and the present  value  of cash outflows over a period of time.   NPV is used in  capital budgeting  and investment planning. The NPV Rule is:- If  NPV > 0  Then the project is Accepted  If  NPV < 0 Then the project is Rejected The formula for calculating NPV is - = net present value = net cash flow at time t = discount rate = time of the cash flow This is how NPV is calculated manually with the generic formula, now we are going to use NumPy for calculating the NPV of a project. Here is an example. The initial investment is $100. The cash inflows in the next five years are $50, $60, $70, $100, and $20, starting from year one. If the discount rate is 11.2%, what is the project's NPV value?  #import Numpy  import  numpy  as  np #Put/define values in the cashflows & Interestrate. CF0 =...