Automatic Strategy Encoder

Usage

For use explicitly with strategies data from scoringapi.trava.finance (Trava's BRicher project)

Supported apps

• venus
• cream
• trava
• trava staking and governance vaults
• uniswap for swap and providing lp
• pancake vaults
• alpaca
• valas
• ...

Usage

Dynamic loading

const lib = await import('https://unpkg.com/@ais-ltd/strategyen@latest/build.min.js')

Dynamic library is ESM only

Bundle to project

import * as lib from '@ais-ltd/strategyen';

Typescript suppport is present but still limited

Simple usage

const maps = { account: '', amount: '' };
const strategy_id = "bfaa65a1b7a6da9b7324b45de77da673cdf9a008aae4986ba818076826e347e6";
console.log(await lib.process(strategy_id, maps));

Advanced usage

console.log(await lib.autoAvailability(strategy_id));

Error handling

lib.process(strategy_id, maps).catch(
    err => lib.processError(err).then(console.log)
);

Know-how

What it is for?

How this works?

By scanning through D-App definitions and predefined formulas.

How is this improve user experience?

Users no longer need to learn to use an d-app or calculate many steps needed to invest

What is its shortcomings?

Many d-apps just straight block indirect calls, make it impossible to generate automatic calls for user.

Us & User Responsibility