Explore option mechanics
Use a virtual portfolio to inspect contracts, legs, expiration, order actions, collateral, assignment, and grouped positions.
Explore simulationOptions algorithmic trading platform
Build an options trading bot around the complete structure.
Use options strategy automation for user-defined underlying signals, DTE and strike rules, multiple legs, grouped exits, scheduled entries, and assignment or expiration lifecycle behavior.
- DTE and delta selection
- Multi-leg structures
- Group lifecycle controls
Assignment-aware lifecycle
OPEN CASH-SECURED PUT30 DTE · target delta 0.25SELL TO OPEN
IF PUT ASSIGNEDTransition to covered-call structureLIFECYCLE
OPEN COVERED CALL30 DTE · strike above cost basisSELL TO OPEN
IF CALL ASSIGNEDComplete cycle and rearm entryYOUR RULE
UNDERLYINGUSER SELECTED
Options automation at your level
Understand the legs—or code the lifecycle.
Investfly keeps the option structure explicit across simulation, visual configuration, and Python strategy development.
Configure supported structures
Build cash-secured puts, covered calls, vertical spreads, iron condors, and other supported structures without coding.
Explore no-code automationCombine code with selectors
Use Python for custom underlying signals while structured models handle contract selection, legs, groups, and lifecycle controls.
Explore PythonOptions bot patterns
Describe the contract, package, and lifecycle you want.
These premium-selling and multi-leg examples are illustrative configurations, not recommendations or outcome claims.
Premium-selling structure
Schedule a user-defined cash-secured put entry.
UNDERLYINGYour selected stock or ETF
CONTRACTYour DTE and strike/delta selection rules
ENTRYYour condition or recurring schedule
RISKYour collateral, group limit, target, and stop
Assignment-aware lifecycle
Configure a wheel strategy with visible transitions.
PHASE 1Open your cash-secured put structure
ASSIGNEDTransition assigned shares to your covered-call rule
EXPIREDComplete or rearm according to your policy
GROUP EXITApply your premium target and stop rules
Four-leg credit structure
Open and manage an iron condor as a group.
SHORT LEGSYour put and call delta selectors
WINGSYour defined-width long protection
ENTRYYour underlying condition and DTE window
GROUP EXITYour net-premium target, stop, and expiry rule
Options-native controls
A structure is more than a ticker and quantity.
Expiration and DTE
Select contracts using target days to expiration and supported expiration rules.
Strike and delta rules
Describe strike selection with supported moneyness, offset, or target-delta inputs.
Grouped positions
Treat supported multi-leg structures as a group for net premium, exits, and lifecycle activity.
Assignment and expiration
Configure supported outcome rules for assignment, expiration, follow-up structures, and completion.
Testing and live boundaries
Review option assumptions at the structure level.
Option strategies currently use underlying-first signals. Historical backtests may use synthetic or proxy option pricing when full chain replay is unavailable, so results require particular care.
Live execution depends on
- Eligible provider and options-approved account
- Supported structure and multi-leg order capability
- Account permissions, buying power, and collateral
- Your review of assignment and expiration risk
Options trading bot questions
Evaluate the structure, contracts, and lifecycle together.
What is an options trading bot?
An options trading bot applies user-defined rules to an options workflow, including the underlying signal, structure, contract selection, entry, grouped exits, and supported expiration or assignment handling.
Can Investfly automate multi-leg options strategies?
Supported workflows include structures such as vertical spreads and iron condors, with leg directions, DTE, strike or delta rules, grouped lifecycle controls, and eligible multi-leg order support.
Can I configure a wheel strategy?
You can configure supported cash-secured-put, covered-call, schedule, contract-selection, assignment, and expiration rules around a wheel-oriented lifecycle. You choose every input; it is not an income promise or recommendation.
How should I interpret an options backtest?
Options backtests may use synthetic or proxy pricing when full historical chain replay is unavailable. Treat results as hypothetical, inspect the assumptions, and use simulation before considering eligible live activity.
Options structure, made explicit
Configure the legs and lifecycle you intend.
Start with a supported template, choose the contract rules, and test the complete group behavior.
Options involve substantial risk, including assignment and potential loss. Examples are not investment recommendations.