Algorithmic Trading is the new norm in the world of trading. It's no longer possible for traders to rely on their gut instincts to execute trades. Instead, high-frequency trading has taken over. Algorithmic Trading and the ways it has changed the financial landscape are discussed in this article. By using complex mathematical formulas to analyze markets, algorithmic trading describes a system of buying and selling stocks, bonds, and other securities. An algorithm is a series of instructions for a computer to execute based on any number of factors. These algorithms allow traders to make decisions in fractions of a second. Trading algorithms have changed the way traders operate. longer human beTrades are no longer made by humans with other humans, but rather by her algorithms. This has increased the speed of trading, but iWhile this has increased trading speed,and the markets. Algorithmic Trading is a new way of trading that haThe advent of algorithmic trading has increased the speed of trades, but also made it harder to understand the market.
- Libraries required
- MetaTrader
- seaborn, tqdm
- numpy, pandas, matplotlib
- ta, yfinance
- Windows 10
- Libraries can be installed using
pipcommand
Muralidhara Bhat KS
- [email protected]
- Github slendersheild
- Linkedin ksmuralidhara0
- 0.2
- Various bug fixes and optimizations
- 0.1
- Initial Release
This project is licensed under the MIT License - see the LICENSE.txt file for details
Inspiration, code snippets, etc.