This document discusses algorithmic trading (also called algo or automated trading), where computers automatically trade currencies or shares based on predefined market conditions. Algorithmic trading is used by investment banks, funds, and now individual retail traders. The advantages include speed, consistency, risk management, and finding repeatable patterns. However, it lacks human judgment around news events. Proper strategy, money management, testing, and monitoring are keys to success with algorithmic trading.
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3. Algorithmic trading, also referred to as Algo
trading and black box/Expert advisor.
automated trading by computers which are
programmed to take certain actions in response
to varying market data:
Algorithmic trading relies on computer systems
to buy Currency or shares automatically when
predefined market conditions are met
4. Who use it ?
investment banks, pension funds, mutual
funds, institutional traders,
Small Speculators
Retails Traders ( You and Me) Now have access
6. Clear understanding strategy objectives
Robust pre-trade models
Built in money Management
Faster Reaction
Thorough post-trade analysis
Adaptable
Human Monitoring
Many Programmers are not Traders
7. Trader has Clear understanding strategy
objectives
Close out or reduces trade size
Adds to Winning Positions
Turns off during News Events
Selection of the best Algo to uses
Reduce any draw downs that may occur
17. One Size Does not fit all
Strategies & Techniques does not work all the
time.
Picking the best environment for the Algo in
my opinion is the Most sensible approach.
Consistent Monitoring for Optimal efficiency
Past History does not Guarantee Future results