API endpoints

[loocurse]

Here are some API endpoints that I'll need. Can add more and advise accordingly thanks!

Ticker List

For the search bar purposes, will need to get a list of all the tickers that we are using.

• symbol: string
• market: string
• name: string
• change_number: number (price change in the last 24 hours)
• change_per: number (price change in the last 24 hours in percentage)
• price

tickerData = [
  { symbol: "BABA", market:"NYSE", name: "Alibaba Group Holding Ltd" , change_number: -2.33, change_per: -2.3, price:140.23},
  { symbol: "LMND", market:"NYSE", name: "Lemonade Inc" , change_number: 3.53, change_per: 4.32, price:150.23}, ...
];

Recommendations

• date: string or datetime
• ticker: string
• entry price: number
• stop loss: number
• target price: number
• expected profit: number (calculate this based on the entry price and target price)

Algorithm past performance

For the 'performance' tab.

• month: datetime (or string, whichever is fine)
• positions: list of trades (see below)
• realized pnl: number (percentage)

For each trade

• ticker: string
• buy price: number
• sell price: number
• pnl: number (percentage)
• notes: string

Example:

const performance = [
  { month: "Jull 2021", realized_pnl: 2.33, positions:[
    { ticker: "AAPL", buy: 100, sell: 150, pnl: 50, notes: "Reached target price" },
    { ticker: "TSLA", buy: 400, sell: 390, pnl: -4.20, notes: "Reached stop loss" },
  ] }, ...
];

---

Also @leo-dh for the journal tab I realised we might have to set up a persistent database for the journal part. Maybe I won't develop that part for the time being, focus on the algorithms

[leo-dh]

Endpoints Checklist

• [x] Ticker List
• [x] Recommendations
• [x] Algorithm Past Performance

The second and third endpoint needs further discussion.

@ktingyew How do you think we should translate the current output of the model into entry price, stop loss and target price? Stop loss and target price can be fixed in relation to the entry price. The main concern is with translating the state machine into appropriate buy signals.

[leo-dh]

@ktingyew @Mickey1356 Potential schema for predictions:

{
    date: datetime isoformat/unix timestamp,
    recommendations: [
        {
            symbol: 'AAPL',
            targetPrice: '123',
            currentPrice: '456',
        },
        ...
    ],
}

[mickey1356]

ok