Starting a Hedge Fund and the mistakes we made that almost killed our fund

• 1. Christina Qi / CEO of Databento and Founding Partner of Domeyard LP

1. Applying what you've Learned - Why start a Business Today?
2. Hedge Funds vs. Prop. Shops
3. Fundraising - How to attract the right Investors into your Fund
4. Your Pitch - What do Investors look for? 
5. Hiring - full time vs. outsourced, Mistakes we made 
6. Strategy Selection and Development + Mistakes 
7. Data Selection + Mistakes 
8. Service Provider Selection + Mistakes 
9. What we did right
10. Some Hedge Fund horror stories for your entertainment

Automating your algo with Python in 15 mins with 50 lines of code

• 1. Sumit Raj / Senior Solutions Architect at GeoSpark R&D

1. What is a Serverless setup for executing your code?
2. Why choose Lambda over EC2 for algo trading? 
3. Creating a webhook endpoint to receive chartink alerts via API Gateway
4. Calculating SL, Target and firing order using Zerodha APIs in AWS Lambda.
5. Setting up alerts to your telegram.

Quantitative Approach to Asset Allocation, Panel Discussion

• 1. Alok Dharia / Founder NAV Finstrat and Quantitative Algo Trader
• 2. Alok Jain / SEBI Registered Investment Advisor and founder of “weekendinvesting.com”
• 3. Anil Ghelani, CFA / Head of Passive Investments & Products DSP Investment Managers
• 4. Devang Jhaveri / Co Founder Dravyaniti Consulting LLP
• 5. Jay Shah / Founder, One Tree Hill Wealth Partners and PMSkart.com
• 6. Lakshmi Iyer / President and Chief Investment Officer (Debt) & Head Products Kotak Mahindra Asset Management Co.
• 7. Rakesh Pujara / Founder & Managing Partner - Compounding Wealth Advisors LLP

1. Is it possible to improve risk-adjusted returns of a portfolio by applying Quantitative Asset allocation tactics, I yes then How?
2. Does the same model and parameter work for every asset class or they have to be different for all?
3. Can we describe some simple rules?
4. Which will be the asset classes you would have in your model and why?
5. What options are available for Indian Investors and what should be the expected returns and risks of these models?

Beginner’s Guide to Developing Automated Trading Systems

• 1. Rohit Chugh / Data Curator & Strategy Developer at Dravyaniti Consulting LLP

1. How to Develop Trading Strategy That Works?
2. How to Back Test?
3. How to Automate Trading Strategy?

The struggles of bringing Tradetron to life. The journey so far

• 1. Umesh Ranglani / Founder CEO of Tradetron
• 2. Vivek Gadodia / Co-Founder Dravyaniti Consulting L.L.P.

1. Concept challenges
2. Tech challenges
3. Scaling challenges
4. Client expectations challenges

Lunch Break

• 1. Lunch Break

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Impact of Intraday Open Gap

• 1. Maged Abidou / Head Of Product Development at Mubasher Financial Services (DIFC) Ltd

1. Intraday gap vs day gap.
2. Impact of Intraday gap on price within the trading session.
3. Intraday Trading Strategies utilizing intraday gap measures

Trading made easy with Kotak Securities

• 1. Ashish Nanda / Joint President & Business Head - PCG, Bank Chanel, Commodities and Currency Business Kotak Securities
• 2. Siddharth Gautam / Kotak Securities

Tea Break

• 1. Tea Break

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Risk Management in Trading

• 1. Sourabh Sisodiya CFA / Co-Founder & Head of Investment Strategy Quantify Capital

1. Why risk management is the only holy grail in trading ?
2. Psychological Biases that hinder trading performance
3. Types of risks in trading, real examples and how to mitigate them ?
4. How to stress test to check robustness of a trading system ?
5. How to position size correctly to avoid risk of ruin ?

Stress-free options trading through automation and simple risk management

• 1. Abhi Shah / Founder, Quantiply

1. Choosing the right algo tool or automation platform
2. Automating your options trading on Quantiply.tech
3. Getting started in a systematic way
4. Simple risk management to keep the account from blowing up

In My Experience…

• 1. Perry J Kaufman / Systematic Trader and Quantitative Financial Theorist

1. Which strategies work? Markets that are not open to the public often have better trends.
2. Don’t get complicated. Limit yourself to these features: Trend and Volatility.
3. Daily vs intraday? Monthly? Bigger equity swings.
4. Learn to embrace risk. You cannot eliminate the risk.
5. How do you decide how much you should trade for every $10,000 investment?
6. How much diversification is necessary?
7. Not all stocks trend. You can tell by back-testing.
8. Selecting stocks for your portfolio: the ones that work best.

Conclusion

• 1. DAY 2 ENDS

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Life of a Trend Follower... Jerry Parker talks with Sovit Manjani

• 1. Jerry Parker / The Turtle Trader, CEO Chesapeake Capital Corporation
• 2. Sovit Manjani CMT / Co-Founder Dravyaniti Consulting L.L.P.

1. How did you start your trading journey as a Turtle Trader?
2. You have worked with Market Wizards like Richard Dennis and William Eckhardt. How is the mindset of these people?
3. What were the Original Turtle trading rules, Do they still work?
4. What improvisations you did to the original rules.
5. What is the meaning of diversification in your eyes?
6. Trend Following is the game of riding outliers. How do we manage volatility in Trend Following Breakout Strategies?
7. How to select a timeframe for a Strategy?

Future of Retail Trading with APIs

• 1. Tejas Khoday / Co-Founder & CEO at FYERS

1. About our API
2. Brief Roadmap
3. Trends in Retail Algo Trading
4. Scope for Fintech tie-ups

Optionality And Venture Capital

• 1. Ashish Fafadia / Partner, Blume Ventures
• 2. Vivek Gadodia / Co-Founder Dravyaniti Consulting L.L.P.

1. What are the factors Blume would look at during the investment process     - What are the factors an options trader would consider before putting on the trade - Greeks
2. How does Blume arrive at a valuation of the companies for which they get proposal     - Pricing of Options :- Intrinsic Value and Extrinsic Value
3. Can Blume put a stop loss on it's investments.  What is the typical winning ratio and how does it manage an investment that goes sour     - Using a Stop Loss for a Trade gone bad. Adjustments of Trades if market goes against

Using AI to solve the largest problem in Mass transportation

• 1. Hrishabh Sanghvi / Co-Founder of Railofy-India's first WL & RAC protection for Indian Railway travellers.

1. Introducing the problem
2. How AI helps?
3. Learnings that can be used for FinTech domain

Thinking like a Fund House

• 1. Aseem Singhal / Co-Founder and Fund Manager of Rain Fund

1. How to make un-correlated trading strategies?
2. Using Martingale and Compounding together to keep losses small and winners big. 
3. Being both an option buyer and an option seller. Idea is to be profitable and not be pigeon-holed into a stereotype.

Lunch Break

• 1. Lunch Break

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How not to be a Back-test Billionaire

• 1. Shamant Hegde / Independent Algorithmic Trader and Healthcare Data Science Expert

1. Common Backtesting pitfalls
2. Real Execution results vs Backtested results
3. Why it's best not to trust great Backtests
4. ML in trading and why most academic ML for trading is useless
5. The best way for a retail trader or a small/medium size prop shop to use ML in trading

VolShift

• 1. Subhadip Nandy / Founder, Quantgym Solutions

1. Understanding Volatility regime shifts  
2. Differentiate between trending and non-trending zones
3. Find volatility based support & resistances in the markets

Tea Break

• 1. Tea Break

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Method to the Monte Carlo Madness

• 1. Vihan Singh / Founder, Blackrose Technologies

Learn about a simple yet powerful statistical technique based on randomness and how you can use it to:

1. Test the strength of your trading signals and avoid overfitting
2. Determine the optimal stock combination and weights for your portfolio
3. Know the reality of your backtest and prevent blow-ups by managing risk effectively
4. Price instruments with complex outcomes like barrier options

3 basic tenets of the CMT Program

• 1. Tyler Wood / Managing Director of Global Business Development at the CMT Association

Firing the Bullet

• 1. Piyush Chaudhry / Founder - Wave Analytics

1. How to Execute your Trading System Signals to your Broker's Terminal, The Challenges, and Precautions
2. The When, Why and How of Scaling-In and Scaling-Out
3. How to handle Large Quantities orders while Entering and Exiting a Trade
4. The significance of Impact Cost Estimation. The Hero to Zero Myth

Conclusion

• 1. EVENT ENDS

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