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Public Backtests (12)

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Hyper-Active Tan Lemur

4.365Net Profit

2.321Sharpe Ratio

-0.023Alpha

0.729Beta

29.68CAR

2.7Drawdown

0Loss Rate

1Security Types

0Sortino Ratio

41Tradeable Dates

3Trades

0.295Treynor Ratio

100Win Rate

Smooth Orange Snake

89.329Net Profit

1.679Sharpe Ratio

0.209Alpha

-0.068Beta

27.088CAR

14Drawdown

73Loss Rate

1Security Types

0.17997384410558Sortino Ratio

670Tradeable Dates

1964Trades

-2.984Treynor Ratio

27Win Rate

Well Dressed Red-Orange Giraffe

165.235Net Profit

0.672Sharpe Ratio

0.124Alpha

-0.03Beta

13.575CAR

28.4Drawdown

31Loss Rate

1Security Types

0.41576695547775Sortino Ratio

1927Tradeable Dates

73Trades

-3.971Treynor Ratio

69Win Rate

Focused Red-Orange Camel

111.789Net Profit

1.821Sharpe Ratio

0.245Alpha

-0.059Beta

32.745CAR

15.1Drawdown

74Loss Rate

1Security Types

0.19492212276042Sortino Ratio

667Tradeable Dates

1963Trades

-4.076Treynor Ratio

26Win Rate

Muscular Red Termite

278.341Net Profit

0.75Sharpe Ratio

0.073Alpha

0.69Beta

14.236CAR

40.9Drawdown

69Loss Rate

1Security Types

0.12331217352588Sortino Ratio

2517Tradeable Dates

5778Trades

0.177Treynor Ratio

31Win Rate


Community

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Yan started the discussion Ernie Chan's EWA/EWC Pair Trade with Kalman Filter

In order to try the example in Ernie Chan's book( Algorithmic Trading: Winning Strategies...

7 years ago

Yan started the discussion Trend Follow Algorithms based on Daily Regression Line

This algorithm trades ETFs according to the trend from regression. The regression uses half-year...

7 years ago

Yan left a comment in the discussion Pairs Trading - Copula Method vs Cointegration

Hi Karen Chaltikian Thank you for your question! It's a very interesting perspective.

7 years ago

Yan left a comment in the discussion Pandas.DataFrame from History method

If your stock list is very long, you can do the conversion in two lines:

7 years ago

Yan left a comment in the discussion Daily and minute data in same algo.

Hi Warren Harding . Yes! definitely you can. Here is a simple example:

7 years ago

Hyper-Active Tan Lemur

4.365Net Profit

2.321Sharpe Ratio

-0.023Alpha

0.729Beta

29.68CAR

2.7Drawdown

0Loss Rate

1Security Types

0Sortino Ratio

41Tradeable Dates

3Trades

0.295Treynor Ratio

100Win Rate

Smooth Orange Snake

89.329Net Profit

1.679Sharpe Ratio

0.209Alpha

-0.068Beta

27.088CAR

14Drawdown

73Loss Rate

1Security Types

0.17997384410558Sortino Ratio

670Tradeable Dates

1964Trades

-2.984Treynor Ratio

27Win Rate

Well Dressed Red-Orange Giraffe

165.235Net Profit

0.672Sharpe Ratio

0.124Alpha

-0.03Beta

13.575CAR

28.4Drawdown

31Loss Rate

1Security Types

0.41576695547775Sortino Ratio

1927Tradeable Dates

73Trades

-3.971Treynor Ratio

69Win Rate

Focused Red-Orange Camel

111.789Net Profit

1.821Sharpe Ratio

0.245Alpha

-0.059Beta

32.745CAR

15.1Drawdown

74Loss Rate

1Security Types

0.19492212276042Sortino Ratio

667Tradeable Dates

1963Trades

-4.076Treynor Ratio

26Win Rate

Muscular Red Termite

278.341Net Profit

0.75Sharpe Ratio

0.073Alpha

0.69Beta

14.236CAR

40.9Drawdown

69Loss Rate

1Security Types

0.12331217352588Sortino Ratio

2517Tradeable Dates

5778Trades

0.177Treynor Ratio

31Win Rate

Energetic Yellow-Green Mosquito

8.232Net Profit

2.205Sharpe Ratio

0.355Alpha

1.255Beta

63.135CAR

3.8Drawdown

43Loss Rate

1Security Types

0.20900473974414Sortino Ratio

0Tradeable Dates

33Trades

0.332Treynor Ratio

57Win Rate

Formal Red Mosquito

17.868Net Profit

0.323Sharpe Ratio

0.025Alpha

0.032Beta

2.796CAR

11.2Drawdown

50Loss Rate

1Security Types

0.060526710895805Sortino Ratio

0Tradeable Dates

1728Trades

0.802Treynor Ratio

50Win Rate

Creative Apricot Gorilla

-17.781Net Profit

-1.504Sharpe Ratio

-0.137Alpha

0.128Beta

-17.102CAR

18.4Drawdown

56Loss Rate

1Security Types

-0.16393883490807Sortino Ratio

0Tradeable Dates

87Trades

-0.992Treynor Ratio

44Win Rate

Fat Light Brown Goat

75.371Net Profit

0.901Sharpe Ratio

0.172Alpha

-0.012Beta

20.572CAR

20.7Drawdown

40Loss Rate

1Security Types

0.38900322525733Sortino Ratio

0Tradeable Dates

1216Trades

-13.992Treynor Ratio

60Win Rate

Adaptable Brown Viper

50.814Net Profit

0.89Sharpe Ratio

0.055Alpha

0.877Beta

14.678CAR

16.4Drawdown

45Loss Rate

1Security Types

0.10107862978783Sortino Ratio

0Tradeable Dates

1195Trades

0.138Treynor Ratio

55Win Rate

Calm Green Horse

187.791Net Profit

1.858Sharpe Ratio

0.291Alpha

0.139Beta

42.241CAR

14.2Drawdown

35Loss Rate

1Security Types

0.49049115571401Sortino Ratio

0Tradeable Dates

147Trades

2.163Treynor Ratio

65Win Rate

Geeky Red Butterfly

101.877Net Profit

0.816Sharpe Ratio

0.162Alpha

-0.101Beta

17.951CAR

29.9Drawdown

50Loss Rate

1Security Types

0.11444979035845Sortino Ratio

1069Tradeable Dates

327Trades

-1.504Treynor Ratio

50Win Rate

Yan started the discussion Ernie Chan's EWA/EWC Pair Trade with Kalman Filter

In order to try the example in Ernie Chan's book( Algorithmic Trading: Winning Strategies...

7 years ago

Yan started the discussion Trend Follow Algorithms based on Daily Regression Line

This algorithm trades ETFs according to the trend from regression. The regression uses half-year...

7 years ago

Yan left a comment in the discussion Pairs Trading - Copula Method vs Cointegration

Hi Karen Chaltikian Thank you for your question! It's a very interesting perspective.

7 years ago

Yan left a comment in the discussion Pandas.DataFrame from History method

If your stock list is very long, you can do the conversion in two lines:

7 years ago

Yan left a comment in the discussion Daily and minute data in same algo.

Hi Warren Harding . Yes! definitely you can. Here is a simple example:

7 years ago

Yan left a comment in the discussion Check if History() actually worked?

Hi Tayer, If you want to validate date, you can check TradeBar.EndTime. My Common method is to put...

7 years ago

Yan left a comment in the discussion Check if History() actually worked?

Hi Tayler Allen 

7 years ago

Yan left a comment in the discussion "Runtime Error: '...' wasn't found in the TradeBars object" when dealing with universe of stocks

Hi  Sofyan Saputra 

7 years ago