Instrument lab or hedge project
Add an implementation layer to options, futures, hedging, risk transfer, and advanced investments coursework.
Let students use an options and futures course simulator to make contract, structure, size, hedge, and lifecycle decisions—then evaluate how those choices behave through changing markets and time.
Move beyond static payoff diagrams by asking students to choose contracts, express the hedge, and review lifecycle behavior.
Add an implementation layer to options, futures, hedging, risk transfer, and advanced investments coursework.
Students select an exposure and supported derivative structure, explain contract choices, size the hedge, and monitor how it behaves over time.
Students should understand payoff, moneyness, expiration, leverage, and course-defined pricing or risk concepts before managing simulated positions.
Use contract selection, supported multi-leg structures, virtual positions, lifecycle rules, historical tests, and forward observation.
Grade the exposure diagnosis, instrument selection, size, entry and exit policy, simulated trades, limitations, and lifecycle reflection.
Contract, data, order, fill, exercise, assignment, margin, and expiration behavior depends on current platform and provider support.
Students move beyond naming a structure to explaining when, how, and under what controls it should exist.
Distinguish hedging, directional, volatility, and income objectives before choosing a position.
Make expiry, strike or delta, structure, and futures-contract rules explicit.
Plan exits and address expiration, assignment, roll, and session behavior where supported.
Compare intended payoff logic with simulated fills, path dependence, data limitations, and observed outcomes.
Start with an equity portfolio, define the risk to protect, select an option structure, and critique cost versus protection.
Compare a single-leg option with a vertical or other supported multi-leg structure under the same market thesis.
Test how DTE, strike, or delta selection changes the position generated by the same underlying signal.
Specify exit, expiration, and assignment behavior before deployment, then review whether the policy matches the objective.
Translate contract and tick behavior into position limits, entry logic, stop distance, and roll-aware monitoring.
Give teams the same market view but different mandates and compare how objective changes instrument and sizing choices.
Define the portfolio or market risk, time horizon, objective, and conditions under which action is justified.
Choose the derivative type, structure, contract-selection rule, and size with an explicit rationale.
Specify entry, exit, expiration, assignment, roll, and loss-control decisions where applicable.
Compare the intended behavior with simulated results and explain where model assumptions were insufficient.
Derivative results depend on contract availability, data, pricing, fills, volatility, liquidity, expiration, assignment, roll, and provider behavior. Investfly is not an institutional pricing terminal or exchange-level simulator.
Yes. Each contest selects one asset class, so an instructor can create a focused options or futures simulation with equal starting cash and a common schedule.
Investfly supports current option structure and position-group workflows. Exact structures, data, and execution behavior depend on current product support.
No. Use Investfly for applied contract, position, strategy, and simulated lifecycle exercises alongside the course’s pricing models and analytical software.
Create a free instructor account and shape the lab around the instruments and lifecycle decisions you want students to practice.
Derivative availability and simulated behavior depend on current data, product, provider, and plan support.