Why do 95% of traders fail?
They don't have a system.
These are the 10 Python libraries we use systematically trade with python:
1. Formation:
Market data
- Omega
- OpenBB
- Nasdaq
- Norgate
Math/Stats
- Riskfolio
- Pandas
- Numpy
- Statsmodels
2. Testing:
Backtesting
- Event-Based: Zipline Reloaded
- Vector-Based: VectorBT
Risk/Performance
- Transaction-Based: Pyfolio
- Factor-Based: Alphalens
3. Execution:
- Omega: Our proprietary "Hedge Fund in a Box"
- InteractiveBrokers: Python API to Your Brokerage
Omega handles:
- Automated Trade Execution
- Automated Portfolio Rebalancing
- Streaming Real-Time Data
- Intraday Alerts
- 10+ Order Types
- Intraday PnL
- Automated Trade Logging in a SQL Database
Want to learn how our students are making $100 a day (or more) algorithmic trading with Python?
👉 Join live us for our free training: learn.quantscience.io/python-algorit…
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