M.Yiğit Güler @myigitguler
Documenting my progress and getting to know y'all. 🍕 I'll try to update daily. 🧐 #algorithmictrading #datascience #quant #cryptocurrency Joined March 2022-
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Day 24: #100DaysOfCode Covering parabolic stop and reverse today. #algotrade Strongly suggest using it, especially for short-term trades.
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Day 23: #100DaysOfCode Still recovering from Covid - 19. Covering indicators today. Starting with #MACD #BTCUSDT
Day 22: Prepared some scripts for my videos on #udemy. Also covered 'Virtual Environments'. #100DaysOfCode
Day 21: concluded my readings on pyalgotrade and I'll document my notes on jupyter notebook #100DaysOfCode
Day 20: Reading documentations about creating bar feed data to implement my strategies
Day 18: continued with #backtesting #Python #100DaysOfCode
Day 18: continued with #backtesting #Python #100DaysOfCode
Day 17: Intro to #PyAlgoTrade Will make it up yesterday. #100DaysOfCode
Day 14: It's been quite a busy day. After 2 weeks this is my first rest day. #100DaysOfCode
[eng] Day 12: #100DaysOfCode Covering Moving Average Strategies today. #Python
[eng] Day 11: #100DaysOfCode Intro to 'daily returns'. Started to read my old notes. I'll implement them onto the #cryptocurrencies.
[eng] Day 10: Continued with Relative strength index #RSI #100DaysOfCode #udemy
[eng] Day 10: Continued with Relative strength index #RSI #100DaysOfCode #udemy
[eng] Day 9: #100DaysOfCode Showing how to get real data and store it in local Calculating the Simple Moving Average using TA-Lib #udemy 🤓🤓
[eng] Day 8: #100DaysOfCode #Python Intro to Price data with Websocket
[eng] Day 7: #100DaysOfCode #DataScience Calculating #Binance fees with API
[eng] Day 6: #100daysofcodepython #Binance #python Still covering Binance API operations [2] 🤓
[eng] Day 5: #100DaysOfCode #pyton Starting to cover Binance API and its operations.
[eng] Day 4: #100DaysOfCode #python covering Converting a DataFrame into other formats today 🤓
[eng] Day 4: gathering notes on pandas [3] concatenating data frames in pandas #100daysofcode
[ENG] Day 3: It was a busy day at work but I think I'll manage my flow. Continuing with pandas. #Python #DataScience
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