This is the capstone. Seven lessons built the discipline of turning a signal into a filled position without handing the edge back to the market — from the costs no one sees on a backtest to the high-frequency machines waiting on the other side of every child order. You learned the split between explicit and implicit costs and the trader’s dilemma that ties them together; how implementation shortfall scores the whole job honestly, unfilled shares included; why market impact follows a concave square-root law that caps capacity; how TWAP, VWAP, POV, and arrival-price algos schedule the work; how the Almgren–Chriss frontier and your risk aversion (and the alpha’s decay) pick the optimal speed; how TCA measures execution against arrival, VWAP, and close benchmarks; and why a transaction-cost-naive backtest lies. No formula sheet, no hints, no take-backs: every answer locks the instant you submit, the wrong options are the exact traps that fool real desks, and your score stays hidden until the end.
Big picture
Algorithmic Trading & Execution — the whole ladder
- Algorithmic Trading & Execution
- The cost of trading
- Explicit (commission, fees, spread) vs implicit (impact, timing, opportunity)
- Trader's dilemma: fast → impact, slow → timing + opportunity
- Parent order worked as many child orders
- Implementation shortfall
- Paper (decision-price) return − real return
- Delay + spread + impact + timing + opportunity cost
- Counts unfilled shares — the honest scorecard
- Market impact
- Temporary (reverts) vs permanent (information)
- Square-root law: impact ≈ Y·σ·√(Q/V)
- Concave → capacity scales sub-linearly
- Execution algorithms
- TWAP: equal slices by the clock
- VWAP: shape to the volume curve
- POV: fixed % of real volume; IS: front-load vs alpha
- Optimal execution
- Expected impact cost vs timing-risk variance
- Almgren–Chriss frontier; risk aversion λ picks the point
- Fast alpha decay → trade faster
- TCA & backtesting
- Benchmarks: arrival (IS), VWAP (gameable), close
- Slippage attribution closes the loop
- Cost-naive backtest lies; HFT adverse selection
- The cost of trading
How this exam works
This is a graded exam. Questions arrive one at a time. Once you submit an answer it is final — there is no going back, no second try, and a wrong answer simply fails that question. Your score stays hidden until the very end, where you need 70% to pass. Read every option before you commit.
Which of these is an IMPLICIT trading cost rather than an explicit one?
Select an answer to continue.
Passed? Here's what you now own
You can take a strategy off the page and trade it like a professional: separate the visible costs from the hidden ones, score the whole job with implementation shortfall, size it to the capacity the square-root law allows, pick the right algorithm (TWAP, VWAP, POV, or arrival-price) and the right speed on the Almgren–Chriss frontier, measure the result against the honest arrival-price benchmark with TCA, and refuse to trust any backtest that fills for free. You know not just how orders get worked, but why each basis point goes where it goes — and who is waiting on the other side.
That’s the execution toolkit, end to end — the gap between a beautiful backtest and a real P&L, and the craft of closing it without giving the edge back to the market.