Date post: | 15-Jul-2015 |
Category: |
Economy & Finance |
Upload: | prashant-maharshi |
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• A pre-defined step-by-step method to accomplish a task
• A computer model that takes an order and structures asequence of trades
• Computer programs that generate buy and sell ordersand make lightning-quick trades
• It is the automated execution of trading orders decidedby quantitative market models.
Objectives:
• Minimize cost compared to a defined benchmark
• Maximizing fill rate
• Minimizing execution risk
• More reliable and faster execution platforms (computer sciences)
• More comprehensive and accurate prediction models (mathematics)
What are the trends behind it?
• Regulatory Changes
• Electronification of Markets
• Improve Scale & Efficiency
• Desire for Anonymity
• Realization that Trading Is a Source of “Incremental Alpha”
• Desire to Reduce Explicit and Implicit Trading Costs
Various Types of Algorithms in the Market
• Arrival price
• Time weighted average price (TWAP)
• Volume weighted average price (VWAP)
• Market-on-close (MOC)
Areas of Concern while setting Algorithms
• Lack of Visibility
• Algorithms Acting on Other Algorithms
• Which Algorithm to Use?
• Missing Ingredient—The Trader’s Gut Feel
What is the process?
1. Generate or improve a trading idea.
2. Quantify the idea and build a model for it.
3. Back test the strategy.
4. Collect the performance statistics.
5. If the statistics are not good enough, go back to #1.
6. If the strategy does not add significant value to the existing portfolio,go back to #1.
7. Implement the strategy on the execution platform.
8. Trade.
Simple trading system design
a strategya strategy a strategy a strategy a strategy a strategy a strategy
BROKER
Exchanges
What are the advantages?
• Move First
• Customise Quickly
• Rapidly Evolve
• Gain Access to Multiple Liquidity Pools
• Operate within Multiple Asset Classes
...
Cont…
• Integrate Real-time News into Algorithmic Trading
• Design for Low Latency Decisions
• Research and Back test Strategies
• Learn from Experience
• Integrate Risk Management with Algorithmic Trading
Issue with the Algorithmic Trade
• Filtration
• Consistency
• Internal Order Matching
• Rapid Strategy Implementation
• Safety
Conclusion
• Algo trading is a very competitive field in which technology isa crucial factor.
• With the help of the algorithmic trading system the tradeactivity becomes faster.
• But after all it is totally depends on the technology
• There are lots of example of crashing in the market due toalgorithmic trade system.
• So one has to not depend fully on the algorithmic system.
ThankYou…