檔案總覽
📌 How to cre 共 15 條紀錄
主帖子 @quantscience_
❤️ 11
How to create your own "mini" hedge fund with algorithmic trading and Python

A thread 🧵
回覆 @quantscience_
❤️ 0
1. What is a Hedge Fund

Hedge funds pool money from wealthy individuals or institutions to seek higher, risk-adjusted returns across multiple markets.
回覆 @quantscience_
❤️ 0
While they often strive to outperform benchmarks like the S&P 500, the focus is usually on lowering risk (drawdowns) rather than purely maximizing returns.
回覆 @quantscience_
❤️ 0
2. Define Your Goals

Decide on a target annual return and understand the drawdown (potential loss) you can tolerate.

For instance, aiming for ~20% annual returns may entail accepting a ~10% drawdown.
回覆 @quantscience_
❤️ 0
Extremely high returns (e.g., 100% per year) can be possible but come with huge drawdowns (50–70%), which most investors find difficult to handle psychologically.
回覆 @quantscience_
❤️ 0
3. Choose Your Markets:

Trading across different asset classes (e.g., equities, commodities, futures) can reduce overall risk through diversification.
回覆 @quantscience_
❤️ 0
Example: If equity markets are falling (S&P 500 futures, “ES”), another market like oil (“CL”) might be trending up, which could offset losses.
回覆 @quantscience_
❤️ 0
4. Algorithmic Strategy Ideas:

Momentum Strategies: Buy (go long) when the price is above a long-term moving average (e.g., 200-day SMA) or sell (go short) when below.

This aims to catch trends.
回覆 @quantscience_
❤️ 0
Mean Reversion Strategies: Identify when prices deviate from an average or band (like Bollinger Bands) and expect prices to revert back.
回覆 @quantscience_
❤️ 0
Long/Short Pairs: Having both bullish and bearish strategies for each market (e.g., long ES, short ES, long CL, short CL) offers additional diversification and helps hedge exposure.
回覆 @quantscience_
❤️ 0
5. Learn Python

Python Quant Stack is 100% free (and covers data, analysis, research, backtesting, and execution):

OpenBB $0
Pandas $0
NumPy $0
Zipline $0
AlphaLens $0
VectorBT $0
Riskfolio $0
IBAPI $0
回覆 @quantscience_
❤️ 0
6. Tracking Performance and Grouping Strategies:

Maintain a portfolio of several strategies.

Group them by market type (e.g., equities vs. commodities) or by aggressiveness (e.g., “conservative” vs. “aggressive”).
回覆 @quantscience_
❤️ 0
Analyze metrics: Regularly monitoring performance, drawdowns, and market conditions is critical for refining your strategy portfolio over time.

Want to learn Algorithmic Trading Strategies (that actually work)?
回覆 @quantscience_
❤️ 0
On April 2nd, we are hosting a free workshop to help you get started with algorithmic trading with Python.

Register here (500 seats): https://learn.quantscience.io/join
回覆 @quantscience_
❤️ 0
That's a wrap! Over the next 24 days, I'm sharing my top 24 algorithmic trading concepts to help you get started.

If you enjoyed this thread:

1. Follow me @quantscience_ for more of these
2. RT the tweet below to share this thread with your audience