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Crypto analysis

Execution time for for 100 crypto currencies that they had a positive changes in the last 1h, 24h, 7days and volume change. then program make OscMa analysis for the those cryptos and generate four lists(buy, sell, strong_buy and strong_sell)

Discription:

simple streamlit(screener) app to make MMA and OSC analysis for cryptocurrencies, and gives resaults for which coins are best to buy or sell depending on the interval you using.

Stage 0: get a list of lastest active coins in the market (coinmarketcap)

Stage 1: (tradingView analysis)MA analysis that they have been > 0 the last 1 hour , 24 hours and 7 days and output:

  • strong_buy
  • buy
  • sell
  • strong_sell

Stage 2: OSC analysis on the "strong_buy list" that we got from the analysis in earlier stage and generate:

  • recommanded_list

Stage 1 and 2 can be done in different time intervals:

  • 1 minute
  • 5 minutes
  • 15 minutes
  • 1 hour
  • 4 hours
  • 1 day
  • 1 week
  • 1 month

Stage 3:

Setup:

1.install requierments:

pip install -r requirements.txt
  1. Coinmarketcap API-key

image

Docs: https://coinmarketcap.com/api/documentation/v1/

paste your key in main.py -> :

def get_marketCap(self):
    url = 'https://pro-api.coinmarketcap.com/v1/cryptocurrency/listings/latest'
    parameters = {
    'start':'1',
    'limit':'100', # how many coins to analysis : first 100
    'convert':'USDT' #change the bridge to see other values like BUSD
    }
    headers = {
    'Accepts': 'application/json',
    'X-CMC_PRO_API_KEY': 'add your key in here',   
    }
  1. run the program
streamlit run main.py

======= Stage 1,2 can be done in different time intervals: 1 minute 5 minutes 15 minutes 1 hour 4 hours 1 day 1 week 1 month Stage 3: save the generated Coin_list

setup:

    1- install requierments:
            pip install -r requirements.txt

    2- coinmarketcap API-key

image

            docs: https://coinmarketcap.com/api/documentation/v1/

            set your key as an environment variable with key X-CMC_PRO_API_KEY

    3- run the program
            streamlit run main.py

image

image

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