Quantified Trading -TIENHA

Quantified Trading -TIENHA

Quantified Trading -TIENHA

tienha

Active Member
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1- Định nghĩa về Giao dịch định lượng:
Quantitative trading consists of trading strategies based on quantitative analysis, which rely on mathematical computations and number crunching to identify trading opportunities. Price and volume are two of the more common data inputs used in quantitative analysis as the main inputs to mathematical models. As quantitative trading is generally used by financial institutions and hedge funds, the transactions are usually large and may involve the purchase and sale of hundreds of thousands of shares and other securities. However, quantitative trading is becoming more commonly used by individual investors.
https://www.investopedia.com/terms/q/quantitative-trading.asp

2- Account Detail:
- Broker name: IG Singapore
- Account: US Dollars (defaut) and Singapore Dollars.
- Type trading: Real
- Starting deposit: 7,900 USD
- Starting date: 1st October 2018
- Symbol Lookup: Mainly Stock and ETF
- Location: Mainly on US, but may have other country.
- Soft Analysis: Amibroker.
- Data sources: Buy
- Strategy trading name: Mean Reversion
- Type: Quantified Strategy
- Winrate expect: 80-90% (testing 84.13%)
- Winrate average pertrade: 1- 3.64% per trade
- Holding time average: 5- 7 days
Note: Minimum comission 15USD per 1 order stock/ETF (Expensive) plus interest margin (more Expenses)
If you trade Stock and ETF and read this post, hope it can help you.
This thread post the transaction only, no question, no answer, no spam.
 

Giới thiệu sách Trading hay
Phương Pháp Mới Để Giao Dịch Kiếm Sống

Quyển sách của Tiến sỹ Alexander Elder đề cập đến những vấn đề cơ bản và cần thiết nhất với các trader. Sách được đánh giá rất cao trên toàn cầu
Chỉnh sửa lần cuối:
Result from 01/10/2018-04/10/208
2018-10-03_21-21-20 transaction 3.10.2018.png
2018-10-03_23-14-47 profit 3.10.2018.png
2018-10-04_6-08-18 position update.png
 

Đính kèm

  • TransactionHistory-(01-10-2018)-(04-10-2018).rar
    943 bytes · Xem: 12

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