
Jose Incredulo developed foundational automated trading features for the InjectiveLabs/injective-lists repository, focusing on backend and full stack development with TypeScript. Over two months, he delivered a modular trading bot framework that enables creation and management of bots, establishing the groundwork for automated trading strategies and future extensibility. He integrated a new trading bot configuration for the hpnj-inj pair in mainnet grid markets, streamlining onboarding and reducing manual setup for grid trading. Jose’s work emphasized clean integration, maintainable code, and incremental scalability, resulting in two feature releases that enhanced the platform’s automated trading capabilities without introducing or addressing any bugs.

October 2025: Added a new trading bot configuration for hpnj-inj in the mainnet grid markets, enabling support for an additional trading pair within the grid trading flow by wiring the bot's contract address and slug into the InjectiveLists configuration. This work expands market coverage, reduces manual setup, and improves onboarding of new bots for grid trading. The change is tracked in InjectiveLabs/injective-lists with the commit: feat: add hpnj trading bots (c5c118b364e12d16f98078d612e33fa902a7c0b2).
October 2025: Added a new trading bot configuration for hpnj-inj in the mainnet grid markets, enabling support for an additional trading pair within the grid trading flow by wiring the bot's contract address and slug into the InjectiveLists configuration. This work expands market coverage, reduces manual setup, and improves onboarding of new bots for grid trading. The change is tracked in InjectiveLabs/injective-lists with the commit: feat: add hpnj trading bots (c5c118b364e12d16f98078d612e33fa902a7c0b2).
In September 2025, Injective-Labs/injective-lists delivered the initial Trading Bot Framework and Management, enabling creation and management of trading bots and laying the foundation for automated trading strategies within the Injective-Lists platform. The work focused on delivering a modular bot lifecycle, with a MVP-level feature set represented by a single committed capability. No major bugs were reported this month, and the work strengthens platform extensibility, accelerates time-to-market for automated trading features, and creates business value through programmable trading workflows.
In September 2025, Injective-Labs/injective-lists delivered the initial Trading Bot Framework and Management, enabling creation and management of trading bots and laying the foundation for automated trading strategies within the Injective-Lists platform. The work focused on delivering a modular bot lifecycle, with a MVP-level feature set represented by a single committed capability. No major bugs were reported this month, and the work strengthens platform extensibility, accelerates time-to-market for automated trading features, and creates business value through programmable trading workflows.
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