Learn Algorithmic Trading
Mentorship Program
- We transform passionate Manual Traders into Successful Algo Trader
- In a 5 weeks Course
- With you requiring no programming Background
- Starting from basic python
- To extensive Backtesting of strategy
- Till making Final Algo
FREE Algo Trading Live Demo
Did you know 50% of overall daily volume at NSE is via Algo from less than 2%
Learn Algo Training

Support
Access to TradeHull's private forum Connect with Trainers, Mentors & Peers

Practice
Practice algo development side by side with trainer such that you can make your own algo by end of training

Live Training Sessions
We all need personal connect. Someone who can talk to us, listen our queries, answer us - Connect with us in our live online sessions
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Training Content
Basic Training
Advanced Training
1.1 – Python Basics (Level-1)
- Python Installation
- Python Fundamentals
- Number
- String
- List
- Dictionary
1.2 – Broker’s Platform introduction (API)
- Broker API
- introduction
- Broker login process
- Getting tick data via. API
2.1 – Loops conditions & Functions
- For/ While Loop
- If/ Else conditions
- Functions
- Practice session – 2.1
- Applying Date Time concepts
- Exceptions/ Errors handling
- Practice session – 2.2
- Account profile handling
- Getting Margins
- Order Book
- Position book
- Placing your FIRST Algo order
- Levels based Algo trading
- Practice session 2.3
3.1 – Price/ Action based Algo
- Open = High/ Open = low
3.2 – Breakout Strategies
- Opening Range breakout
4.1 – F&O Algo Trading
- Buying/ Selling futures and Options based on (3.1) strategy
- Practice session – 4.1
- Broker API introduction
- Broker login process
- Getting tick, historical data
- Getting Account Profile information
- Placing order with Algo
- Practice session – 4.2
01: Support
- 3 months access to Tradehull Basic Support Forum
- Connect with mentors and peers
02: Schedule
- 10 Sep 22 to 18 Sep 22
- 09:00 AM to 12:00 PM, sat and sun
- Training Duration - 2 weeks
03: Training Cost
- Cost - Rs 5000 + gst
04: Contact Details
Advanced Training
1.1 – Algo basics Recap
- Python fundamentals
- Loops, Condition and Functions
1.2 – Advance Python concepts
- While loop
- File Handling
1.3 – Broker Platform (API) – Deep Dive
- Detailed login and
- data with api
- Order Management
- Position Management
- Historical data
2.1 – Handling historical data
- Pandas Python library
- Downloading historical data in Excel
- Read/ write/ modify data in Excel
- Practice session – 2.1
- Indicators
- Candle stick Pattern
- Practice session – 2.2
- Pre market scanning with required conditions
- Combining Indicators and Candle stick Patterns
- Practice session – 2.3
3.1 – Getting started with back testing
- Single indicator
- Combining Multiple indicator
- Combining multiple time frame
- Price action conditions
3.2 – Improvising your strategy
- Testing and Reporting
- Manual Optimization, avoid over fitting
- Brute force – listening the market – Magic
- Do’s & Don’ts
4.1 – Practice Session 3.1
4.2 – Practice Session 3.2
5.1 – Getting started with Live Algo
- Single indicator
- Multiple indicator
- Multiple timeframe
- Price Action conditions
5.2 – Advance Live Algo trading
- All segments – Commodity, Currency, F&O, Equity
- Multi script usage
- Deploy Live strategy on VPS (AWS).
6.1 – Practice Session 5.1
6.2 – Practice Session – 5.2
01: Support
- 1 year access to Tradehull Advance Support Forum
- Connect with mentors and peers
02: Schedule
- 24 Sep 22 to 9 Oct 22
- Timing-09:00 AM to 12:00 PM, sat and sun
- Training Duration - 3 weeks
03: Training Cost
- Cost - Rs 25000 + gst
04: Contact Details
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Students Trained
0
+ Years
Algo Trading Experience as Trader
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Custom Strategies Developed
What Our Students Are Saying
"It was wonderful learning"
Saif Nandolia
(Engineer)
Very nice and detailed course. Understood all basic concepts of python. Trainer were very supportive and having good knowledge of the concept. Also got many ready to use files for future reference.
Rajesh Rai
(Service)
It was a systematic and comprehensive course starting from the basics to advanced
Amit
(Banking)
Contact Us
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