Overview & Objectives
Customer Overview
Our client is a Mumbai-based options trading advisory that runs systematic intraday strategies on index options for its own desk and for a growing base of subscribers. Their strategies (short straddles, strangles, iron condors and directional spreads on weekly expiries) were executed by hand every morning across several broker accounts, which made timing inconsistent and left no room to scale.
Business Objectives & Challenges
The advisory wanted to turn its rulebook into software: strategies defined without code, executed to the second, protected by strict risk rules and deployed to many accounts at once, while staying within broker and exchange requirements for algorithmic orders.
Time-Critical Execution
Entries and exits had to fire at exact times (for example 09:20:00) on every selected account, even on volatile expiry days.
Leg-Level Risk Rules
Each leg needed its own stop-loss, target and trailing stop, alongside combined MTM limits for the whole strategy.
Re-Entry Logic
After a stop-loss, strategies had to re-enter under configurable rules: wait times, strike selection and a maximum number of re-entries.
Multiple Broker APIs
Accounts were spread across several Indian brokers, each with different order types, rate limits and session handling.
Multi-Account Deployment
One strategy had to run on many accounts with different capital sizes, using per-account lot multipliers.
Rejections & Partial Fills
The system needed to detect rejected or partially filled orders and recover safely without doubling positions.
Daily Broker Sessions
Broker tokens expire daily, so logins and token refresh had to be tracked and surfaced before market open.
Regulatory Compliance
Orders needed to follow broker and exchange rules for algo trading, including algo identifiers and whitelisted static IPs.
Trust Through Testing
Every strategy had to be backtested on historical options data and paper-traded before going live.
Solutions
Solutions That Worked
We built AlgoDesk, a web platform with a no-code strategy builder for multi-leg options strategies. Traders set entry and exit times, strike selection (ATM, OTM by points or by premium), leg-wise stop-losses, targets and trailing stops, plus portfolio-level MTM stop-loss, profit locking and re-entry rules. An event-driven execution engine in Python schedules entries to the second and manages each leg independently.
Broker connectors abstract the differences between broker APIs, so a strategy can be deployed to any mix of accounts with per-account lot multipliers. Orders are tagged and routed from whitelisted static IPs, token status is checked before market open, and every order, modification and rejection is written to an audit trail. A paper-trading mode and an options backtester on 1-minute historical data let the team validate changes before real money is involved.
Feature Highlights
No-Code Strategy Builder
Create straddles, strangles, spreads and iron condors with time-based entries and exits, without writing code.
Leg-Wise Stop-Loss & Targets
Percentage or points-based stop-loss, target and trailing stop for every leg, evaluated on live prices.
Portfolio MTM Controls
Strategy-level MTM stop-loss, target and profit locking that square off all legs together.
Re-Entry Rules
Configurable re-entries after stop-loss with wait times, strike logic and daily limits.
Multi-Broker Connectors
A common order layer over multiple Indian broker APIs with retries, rate limiting and session tracking.
Multi-Account Deployment
Deploy one strategy to many accounts with lot multipliers and per-account status.
Paper Trading Mode
Run any strategy against live prices with simulated fills before going live.
Options Backtester
Test strategies on 1-minute historical options data with brokerage, taxes and slippage.
Live P&L & Order Book
Real-time positions, leg-wise P&L, order status and rejection reasons across all accounts.
Alerts & Kill Switch
Telegram and email alerts for fills and stop-losses, plus a one-click square-off for any strategy or account.
Compliance & Audit Trail
Algo-tagged orders, static IP routing and a complete log of every order event.
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Technology Stack
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