jmoz

image: docker/compose:latest

services:
  - docker:dind

stages:
  - build
  - test
  - deploy

jmoz

FROM python:3.11-slim

ENV PYTHONUNBUFFERED=1
RUN mkdir /code
WORKDIR /code
COPY requirements.txt .

RUN apt-get update && apt-get -y install git libxml2-dev libxslt-dev gcc zlib1g-dev

RUN pip3 install --upgrade pip setuptools wheel

jmoz

async def fetch_all_candles(self, symbol, timeframe='1d', limit=5000, end_time=None):
    """If `end_time` is passed it is inclusive in results.

    This will page through all results and remove the duplicate record, finally make an extra call which will be
    empty and break the generator. Had to make the extra call as `limit` was not always max 5000 sometimes it
    returned 5001 or even 4995, so it was impossible to just break if the len() was < 5000.

    Ccxt paging with `since` is broken, so we must use params end_time and hack the start_time to 0 else
    library code will override and break pagination.
    """

jmoz

import asyncio


async def producer(queue):
    i = 1
    while True:
        await queue.put(f'item {i}')
        i += 1
        await asyncio.sleep(5)

jmoz

FROM python:3.8-slim

ENV PYTHONUNBUFFERED=1
RUN mkdir /code
WORKDIR /code
COPY requirements.txt /code/

RUN apt-get update \
    && apt-get install -y --no-install-recommends gcc build-essential \
    && pip3 install -r requirements.txt \

jmoz

import asyncio

import aiohttp

symbols = [
    'BTC-PERP',
    'ETH-PERP',
    'EOS-PERP',
    'BCH-PERP',
    'LTC-PERP',

jmoz

const symbols = [
    "BTC-PERP",
    "BTC/USD",
    "ETH-PERP",
    "ETH/USD",
];

const ws_init = function () {
    ws = new WebSocket("wss://ftx.com/ws/");

jmoz

import FtxClient

c = FtxClient(
    api_key='YOURKEY',
    api_secret='YOURSECRET',
)

balance = c.get_balances()
print(balance)
btc_total = next((b['total'] for b in balance if b['coin'] == 'BTC'))

jmoz

import ccxt

c = ccxt.ftx({
    'apiKey': 'YOURKEY',
    'secret': 'YOURSECRET',
    'enableRateLimit': True,
    #'headers': {'FTX-SUBACCOUNT': 'YOURSUBACCOUNTNAME'}, # uncomment line if using subaccount
})

balance = c.fetch_balance()

jmoz

import pandas as pd


def rsi(ohlc: pd.DataFrame, period: int = 14) -> pd.Series:
    """See source https://github.com/peerchemist/finta
    and fix https://www.tradingview.com/wiki/Talk:Relative_Strength_Index_(RSI)

    Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements.
    RSI oscillates between zero and 100. Traditionally, and according to Wilder, RSI is considered overbought when above 70 and oversold when below 30.
    Signals can also be generated by looking for divergences, failure swings and centerline crossovers.