Manoj Agarwala
Quant
Date Joined
10th May, 2020
Bootcamp progress
10% Complete
Achievements
Algorithm Sharing
Share an algorithm with the community by making your algorithm public.
2020-10-07 19:15:17
Backtester
Run at least 100 backtests on QuantConnect's cloud.
2020-05-15 11:35:43
Live Trading
Deploy a live trading algorithm using one of QuantConnect's supported brokerages.
2020-05-12 13:02:43
Parallel Live Trading
Run multiple live algorithms simultaneously.
2020-05-21 02:01:53
Cloner
Clone at least 100 algorithms from the community.
2020-06-27 23:09:26
C# Programming
Choose C# as your preferred programming language.
2022-01-04 16:19:11
Python Programming
Choose Python as your preferred programming language.
2020-05-10 01:07:28
Popular
Receive at least 10 upvotes from different users in the community.
2022-11-30 18:24:58
Boot Camp Private
Complete a beginner bootcamp in the algorithm lab.
2020-05-10 01:49:26
- Profile
- Backtests
- Community
Biography
Activity on QuantConnect
We are pioneering the radical future for open-source quant finance. QuantConnect is the world's largest quant community, empowering 220,000 quants with a framework, data, and infrastructure for their investments.
Public Backtests (4)
View More24832.566Net Profit
93.836PSR
1.562Sharpe Ratio
0.314Alpha
0.345Beta
48.312CAR
28Drawdown
-0.09Loss Rate
0Parameters
0Security Types
2.585Sortino Ratio
3523Tradeable Dates
3538Trades
1.001Treynor Ratio
0.51Win Rate
-72.865Net Profit
2.497PSR
-0.3Sharpe Ratio
-3.244Alpha
3.395Beta
-100CAR
75.2Drawdown
0Loss Rate
38Parameters
1Security Types
0Sortino Ratio
14Tradeable Dates
1Trades
-0.295Treynor Ratio
0Win Rate
282.052Net Profit
47.256PSR
1.1Sharpe Ratio
0.035Alpha
0.975Beta
23.605CAR
41.4Drawdown
-0.27Loss Rate
48Parameters
1Security Types
1.164Sortino Ratio
1593Tradeable Dates
304Trades
0.284Treynor Ratio
0.78Win Rate
0Net Profit
0PSR
0Sharpe Ratio
0Alpha
0Beta
0CAR
0Drawdown
0Loss Rate
0Parameters
1Security Types
0Sortino Ratio
0Tradeable Dates
0Trades
0Treynor Ratio
0Win Rate
Community
View MoreManoj left a comment in the discussion The In & Out Strategy - Continued from Quantopian
Peter Guenther I made minor changes to v8 and was able to improve the performance. Basically, I...
Manoj left a comment in the discussion Continuous Futures Support
Excellent feature addition, it has eliminated a lot of headache for me. I was able to delete...
Manoj left a comment in the discussion The In & Out Strategy - Continued from Quantopian
Stephen David Bennett Wondering if you saw my post above with Link to alternative data that I have...
Manoj left a comment in the discussion The In & Out Strategy - Continued from Quantopian
I love the v8 version but wondering how. the stock splits/dividends are handled here? My fear is...
24832.566Net Profit
93.836PSR
1.562Sharpe Ratio
0.314Alpha
0.345Beta
48.312CAR
28Drawdown
-0.09Loss Rate
0Parameters
0Security Types
2.585Sortino Ratio
3523Tradeable Dates
3538Trades
1.001Treynor Ratio
0.51Win Rate
-72.865Net Profit
2.497PSR
-0.3Sharpe Ratio
-3.244Alpha
3.395Beta
-100CAR
75.2Drawdown
0Loss Rate
38Parameters
1Security Types
0Sortino Ratio
14Tradeable Dates
1Trades
-0.295Treynor Ratio
0Win Rate
282.052Net Profit
47.256PSR
1.1Sharpe Ratio
0.035Alpha
0.975Beta
23.605CAR
41.4Drawdown
-0.27Loss Rate
48Parameters
1Security Types
1.164Sortino Ratio
1593Tradeable Dates
304Trades
0.284Treynor Ratio
0.78Win Rate
0Net Profit
0PSR
0Sharpe Ratio
0Alpha
0Beta
0CAR
0Drawdown
0Loss Rate
0Parameters
1Security Types
0Sortino Ratio
0Tradeable Dates
0Trades
0Treynor Ratio
0Win Rate
Manoj left a comment in the discussion The In & Out Strategy - Continued from Quantopian
I tweaked some of the parameters (suc as smoothing period) and in/out comparison logic and was able...
Manoj left a comment in the discussion The In & Out Strategy - Continued from Quantopian
Peter Guenther I made minor changes to v8 and was able to improve the performance. Basically, I...
Manoj left a comment in the discussion Continuous Futures Support
Excellent feature addition, it has eliminated a lot of headache for me. I was able to delete...
Manoj left a comment in the discussion The In & Out Strategy - Continued from Quantopian
Stephen David Bennett Wondering if you saw my post above with Link to alternative data that I have...
Manoj left a comment in the discussion The In & Out Strategy - Continued from Quantopian
I love the v8 version but wondering how. the stock splits/dividends are handled here? My fear is...
Manoj left a comment in the discussion The In & Out Strategy - Continued from Quantopian
Another option to test it for period before 2008 is to use Futures and Mutual Fund prices. Here is...
Manoj started the discussion Tax efficiency of an algorithm
I wrote some code to estimate and compare the tax efficiency of an algorithm. See the attached...
Manoj started the discussion Indicators - impact of splits and dividends, need for warm-up
If I am using a standard indicator provided by QC, do I need to re-warm up them:
Manoj started the discussion Use of StandardDeviationExecutionModel independent of other modules
I am wondering if there is ax way to use the StandardDeviationExecutionModel without requiring...
Manoj started the discussion Formatting problems with self.Notify.Email
When I send myself an email using sell.Notify.Email, the entire email appears as a single line...
Manoj started the discussion Meaning of leverage in AddFuture
Wondering what is the meaning of parameter leverage in AddFuture? I found following code in the...
Manoj started the discussion Comprehensive support for Futures data
I noticed that Quantconnect supports a limited set of futures products particularly related to...
Manoj started the discussion Custom Data source other than Dropbox
I was wondering how to implement custom data from sources other than the dropbox. All the examples...
Manoj started the discussion Error encountered in live testing
My algorithm is working fine while I was backtesting it but it stopped working when I went live...
Manoj started the discussion Fama French Model
My algorith is based on fama french 3 factor model. It works well in back testing but while going...
Manoj started the discussion How to initialize average true range indicator
average true range (ATR) needs high, low, close. I cannot use warmup method I believe as my...
Manoj started the discussion Low beta high alpha universe
I noticed that quant connect already has capabilities to calculate alpha, beta, sharpe ratio,...
Manoj started the discussion Run multiple backtests to decide the best trading strategy
I have 2 or 3 different strategies that work in different market conditions. For example: One of...
QuantConnect™ 2024. All Rights Reserved
Manoj left a comment in the discussion The In & Out Strategy - Continued from Quantopian
I tweaked some of the parameters (suc as smoothing period) and in/out comparison logic and was able...
2 years ago