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Lesson · Algorithmic and Automated Trading

Order Management and Execution

Select order types, manage open orders, control participation, and measure fill quality against the decision price and available liquidity.

Review concepts
Core concepts

What to understand

Keep the boundaries, state, and authority explicit.

1

Decision price

The market price when the strategy and risk engine approved the trade.

2

Execution policy

Market, limit, time-sliced, or participation-based instructions with deadlines.

3

Fill quality

Completion rate, slippage, spread cost, market impact, and adverse selection.

Interactive lab

Execution Policy Lab

Compare market, limit, time-sliced, and participation execution under different order sizes, spreads, and market directions.

Execution Policy Lab

Deterministic synthetic educational data · no broker or live-market connection

SYSTEM MODEL
Process

Measure every execution decision

Execution policy should match urgency, liquidity, and strategy horizon.

1

Plan

Set quantity, urgency, price limits, participation, and deadline.

2

Execute

Manage child orders and broker updates without exceeding the parent intent.

3

Evaluate

Compare average fill and completion with the decision benchmark.

Knowledge check

Check your understanding

Select one answer for each question. Feedback appears immediately, and a wrong choice is answered on its own terms before the rule is restated.

1. A limit order primarily controls:

2. A large urgent order in thin liquidity can:

3. Execution quality should be measured against:

4. The decision price is $110.23 and eight time-sliced children fill at an average of $113.38. What is the slippage against the decision price?

Practical rules

  • Define urgency and price limits before submission.
  • Track parent and child quantities exactly.
  • Measure completion and slippage for every order.

Common mistakes

  • Using market orders without a liquidity rule.
  • Replacing an order without accounting for cancel latency.
  • Evaluating strategy returns without execution benchmarks.
References

Official reading

These sources cover algorithmic controls, market access, broker APIs, system operations, or security.

Alpaca · Working with Orders
Official example of submitting orders and receiving asynchronous order-status updates.

Open official reference ↗

FINRA · Regulatory Notice 15-09
Official guidance on supervision, testing, controls, documentation, and monitoring for algorithmic trading strategies.

Open official reference ↗

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