Algorithmic Trading Strategies

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Questions and Answers

What is a 'many-one function'?

  • A function where multiple elements from set A map to the same element in set B. (correct)
  • A function where each element from set A maps to multiple elements in set B.
  • A function where each element in set A maps to a unique element in set B.
  • A function where no two elements in set A map to the same element in set B.

What is the range of an Onto function?

  • An empty set.
  • Always smaller than codomain.
  • Always larger than co-domain.
  • Equal to its co-domain. (correct)

What defines an 'into' function?

  • The codomain is equal to its range.
  • The codomain is a proper subset of its range.
  • The domain and the codomain are equal
  • The codomain is not equal to the range. (correct)

What is the graphical test to check if a function is one-one onto?

<p>A line parallel to the x-axis cuts the graph at exactly one point. (B)</p> Signup and view all the answers

What does $f(f(x)) = x$ imply?

<p>$f(x) = f^{-1}(x)$ (D)</p> Signup and view all the answers

In a many-one function, what is the relationship between elements?

<p>More than one element from set A maps to a single element in set B. (B)</p> Signup and view all the answers

What is the condition for a function to be considered 'onto'?

<p>Its range is exactly equal to its co-domain. (C)</p> Signup and view all the answers

Graphically, how can you identify an 'into' function?

<p>A line parallel to the x-axis in the co-domain region does not cut the graph (A)</p> Signup and view all the answers

What happens if $R = {(x,y) : x, y \text{ divisible by } 2}$?

<p>Partitions the set of Z into three pairwise disjoints. (A)</p> Signup and view all the answers

What is the number of remainders of $R = {(x,y) : x, y \text{ divisible by } 2}$?

<p>3 (C)</p> Signup and view all the answers

Flashcards

Many-one function

More than one element from set A maps to a single element in set B.

Onto function

Every element 'y' in set B has a corresponding element 'x' in set A such that y = f(x). The range equals the co-domain.

Into function

A function which is not surjective (onto). The co-domain of 'f' is not equal to the range of 'f'.

Graphical test for One-One Onto

A line parallel to the x-axis cuts the graph of y = f(x) at exactly one point within the co-domain region.

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Number of Onto functions

Number of Onto functions equals the sum from k=1 to n of (-1)^(n-k)nCkk^m. If m > n and f(n) = 0 if m < n

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Involution Property

If f(f(x)) = x, then f(x) = f⁻¹(x). Each element maps back to itself after two applications of f.

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Study Notes

  • Algorithmic trading uses computer programs to execute orders based on predefined rules.
  • It exploits computer speed and automation for efficient, effective trading.

Why Algorithmic Trading?

  • Computers react faster than humans.
  • It reduces manual errors.
  • Algorithms execute exactly as programmed.
  • Strategies can be tested on historical data.
  • It handles intricate strategies beyond human capability.
  • Executes large orders without market impact.

Types of Algorithmic Trading Strategies

Execution Algorithms

  • Minimizes market impact and transaction costs.
  • VWAP (Volume Weighted Average Price) targets the average price weighted by volume.
  • VWAP = (sum of (Price at transaction i * Volume at transaction i)) / (sum of Volume at transaction i).
  • TWAP (Time Weighted Average Price) targets the average price over a period.
  • TWAP = (sum of Price at time i) / (Number of prices)
  • Percentage of Volume (POV) participates in a fixed percentage of market volume.
  • Implementation Shortfall balances the cost of delay vs. the cost of immediacy.

Market Making

  • Profits from bid-ask spreads while providing liquidity.
  • Posts bid and ask orders, capturing the spread.
  • Faces challenges in inventory management and adverse selection.

Statistical Arbitrage

  • Exploits statistical mispricings.
  • Pairs Trading identifies correlated assets and trades on temporary divergence.
  • Index Arbitrage exploits price differences between an index and its constituent stocks.

Trend Following

  • Identifies and capitalizes on price trends.
  • Uses technical indicators to detect trends and place orders accordingly.
  • Moving Averages involve buying when the price crosses above a moving average and selling when it crosses below.

High-Frequency Trading (HFT)

  • Exploits very short-term market inefficiencies.
  • It is characterized by high speed, high turnover, and co-location.
  • Strategies includes; order anticipation, quote stuffing, and arbitrage.
  • Is subject to market manipulation and unfair advantage controversies.

Order Execution

Order Types

  • Market Order executes immediately at the best available price.
  • Limit Order executes only at a specified price or better.
  • Stop Order becomes a market order when the stop price is reached.
  • Stop-Limit Order becomes a limit order when the stop price is reached.
  • Hidden (Iceberg) Order displays only a portion of the order to reduce market impact.
  • Fill or Kill (FOK) executes the entire order immediately or cancels it.
  • Immediate or Cancel (IOC) executes any portion of the order immediately and cancels the rest.
  • All or None (AON) executes the entire order at once, if possible.

Order Placement Considerations

  • Higher market liquidity reduces the risk of large price movements.
  • Larger orders require more careful execution strategies.
  • Short-term vs. long-term goals influence strategy selection.
  • Risk tolerance affects the aggressiveness of the execution.
  • Volatility, news events, and economic indicators affect strategy.

Market Microstructure

  • Market Microstructure is the fine-grained details of how a market operates.
  • Key elements; Order Book, Quote Sizes, Tick Size and Market Participants.
  • Order Book is defined as a list of outstanding buy and sell orders.
  • Quote Sizes is defined as the number of shares available at each price level.
  • Tick Size is defined as the minimum price increment.
  • Market Participants are different types of traders .

Impact of Algorithmic Trading on Market Microstructure

  • It provides liquidity and narrow spreads which increases liquidity.
  • Efficient execution lowers costs, which reduces transaction costs.
  • HFT can exacerbate price swings, which increases volatility.
  • Rapid order execution can trigger sudden market drops, which leads to flash crashes.
  • Order flow is spread across multiple exchanges and dark pools, which leads to market fragmentation.

Dark Pools

  • Dark Pools are the private exchanges where orders are matched anonymously.
  • Dark Pools allow institutions to trade large blocks of shares without revealing their intentions.
  • Dark Pools reduce market impact and price discovery which is an advantage.
  • Dark Pools lack transparency and have potential for abuse which is a disadvantage.

Regulatory Considerations

  • Regulations prohibit strategies that artificially inflate or deflate prices, which is market manipulation.
  • Illegal to trade on non-public information, which is insider trading.
  • Regulators require exchanges to disseminate market data to increase order book transparency.
  • Brokers must seek the most favorable terms for their clients to attain best execution.
  • SEC Rule 611 and Market Access Rule are examples of regulatory considerations.
  • SEC Rule 611 (Order Protection Rule) requires brokers to route orders to the exchange with the best price.
  • Market Access Rule (Rule 15c3-5) requires brokers to have risk management controls in place for algorithmic trading.

Challenges and Risks

  • The risk that the algorithm is based on flawed assumptions is Model Risk.
  • Software bugs or hardware failures cause technical glitches.
  • Inaccurate or incomplete data can lead to poor decisions, which are data errors.
  • Strategies that perform well in backtesting may fail in live trading, which is Overfitting.
  • Strategies must be adapted to evolving market conditions because of changing market dynamics.
  • New rules can render strategies obsolete, which causes regulatory changes.

Best Practices

  • Test strategies on a variety of historical data using Robust Backtesting.
  • Implement controls to limit potential losses using Risk Management.
  • Continuously monitor performance and adjust strategies as needed using Monitoring.
  • Stay up-to-date with regulatory requirements to ensure compliance.
  • Document the logic and assumptions behind the algorithm to ensure transparency.
  • Have strategies reviewed by an independent party to ensure independent review.

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