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Create an Excel Dashboard with the following analysis

INSTRUCTIONS TO CANDIDATES
ANSWER ALL QUESTIONS

Research Analyst Assignment

1. Create an Excel Dashboard with the following analysis:

I. Correlation of Nifty 30 stocks with Nifty 30 Index

i. Find the 20-day, 50-day and 100-day correlations

II. SMA (20) of all the Nifty 30 stocks and their current price minus SMA (20)

III. Top 5 stocks in Nifty 30 in terms of % increase and % decrease in price in the last one week

Use formulas to automate results wherever applicable

Dashboard should be easily readable and visually appealing

2. Back-test the following strategy on Nifty 60min time-frame for the last one month:

I. If EMA (9) crosses above SMA (21), go long

II. If EMA (9) crosses below SMA (21), go short

III. Trailing stop loss at EMA (9)

Provide the following result parameters for the strategy:

Total Equity with equity curve

No. of long and short trades

Avg win trade and loss trade P/L

Hit Ratio

Reward : Risk Ratio

Expectancy

 

3. Using the broader historical context of swing highs and lows, write a commentary on the following charts for the next session of trading (expected price move in the next 12 hours):

 

I. Brent Crude Oil Futures (TradingView – BRN1!)

II. Soybean Oil Futures (CBOT) (TradingView – ZL1!)

 

You may use multiple time frames, indicators, trendlines etc. as you see fit (there are no compulsions on using anything in particular)

Commentary must include the current directional bias, important support/resistance levels, different scenarios for the price move and condition for the directional bias to change

Please attach screenshots of the chart to convey your thoughts along with the commentary. You may use drawings/callouts to reference the chart from your commentary

4. Fixed Income Fundamental Assignment

I. Go through the documents and complete the assignment in the RA Assessment Folder

5. What statistical measures would you use to describe a probability distribution? Explain the measures, and what their values would be for a normal distribution.

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