WHY OUR ALGO TRADING COURSE ?

Week-1

1.Introduction to algo trading

2.Why algo trading?

3.Common pitfalls of traders

4.How algos can improve trading psychology

5.Elements of trading psychology

6.Why 99% people lose money in manual trading

7.Advantages of algorithmic trading

Fact of uncertainty in market

9.Correct your expectations

10.Market prediction vs system trading

11.Back testing elements of a strategy

12.Random distribution of events

13.Statistical independence

14.The streak probability analysis

15.Understanding Law of large numbers

Measuring drawdown in excel spreadsheet

Week-2

17.Filter components

18.Stock attributes

19.Offsets

20.Number constants

21.Indicator parameters

22.Using operations

23.Arithmetic operations

24.Comparisons

25.Crossovers

26.Multiple filters & filter behaviour

27.Sub-filters & grouped filters

28.Functional filters min & max

29.OB & OS filter

30.GU & GD filter

31.Fundamental filters

32.Creating scans

Week-3

33.Wolfram demonstrations

34.Technical analysis essentials to create algos

49.Position sizing calculations

33.How to properly back test a strategy

34.Cognitive biases

41.Anchoring bias

42.Confluence mentality

43.Accuracy vs frequency

41.Define a trading strategy

42.Historical data limits

43.Execution of the back test

44.Timeframe selections

45.Live data vs Bar data

49.Intraday stock selection Criteria’s

41.Debugging

42.Diversification & Creating baskets

Week-4

49.Parameter tuning for accuracy

50.Probability metrics

51.Maximum drawdown

52.Sharpe ratio and sortino ratio

53.Optimization of the codes

54.Organizing data in excel for back testing

55.Forward testing & real time monitoring

56.Setting Alerts and notifications

57.Order management

58.Delay considerations

59.Coding bullet train strategy

60.Inertia reversal strategy

61.Coding hammers and shooting stars

62.Baby consolidation strategy

63.Coding Inside candle strategy

64.Shutter patterns

Scroll to Top