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简单的外汇交易策略

BinaryCent期權交易平臺測評

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二元期權、外匯保證金、數位貨幣交易是在投資外匯、虛擬幣等有價格波動的商品時使用的。在投資中由於匯率變動或貨幣對的價格變動會對客戶的投資額造成損失。尤其是外匯交易,由於是24小時不間斷交易所以價格會經常變動。然而和股票不同的是,由於沒有變化幅度限制,經常出現在短時間內大幅度波動的現象。注意,您的資金可能處於風險之中,二元期權平台排行網所列信息僅供參考,不構成投資建議。各平台由客戶自行選擇,平台操作帶來的風險與本站無關,客戶需自行承擔相關後果和責任。
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期權的高頻交易回測平台怎麼編寫?

上面的東西還是很粗糙的,其中之一是延遲是個變數,比如在Eurex 交易所內部延遲是個關於訂單處理數量的線性函數,如下圖所示(很幸運這是個線性函數):

最可怕的是,你的假設是你的策略對於市場行為是沒有影響的,而實際上不是的,當你參與市場的時候,別人會根據你的行為進行調整他們的策略,所以就看命吧

我們公司裡面是IT開發了一個平台, 實盤和回測代碼寫成一樣就可以進行回測。這是一個非常非常大的輪子。。。我勸你還是閑著沒事少跳坑為好,好好活著挺好的。

關於中國市場,500毫秒內部的事情是個黑箱。所以你基本靠猜來模擬成交,至於你的猜是瞎猜還是神操作,得看你的造化了。

GitHub - PortfolioEffect/PE-HFT-Matlab: MATLAB toolbox for high frequency portfolio analysis, intraday backtesting and optimization

首先,看完題目,我的感覺是你老闆要的只是一個簡單的策略回測系統。畢竟你說你沒直接編過回測平台,而且你老闆讓你用python寫(這裡並沒有黑python的意思,只是,如果你們要的真的是那種嚴肅的模擬配對引擎和那種盡量貼近真實交易所的(利潤)回測平台,有比較大的概率python並不是首選。)
如果你們確確實實倒是要一個能夠可靠測試策略賺多少錢的利潤回測系統,那麼請參見Steve Zhou的回答,他提到的一些想法和陷阱都要實現;一切都要逼真。

大多用python寫的回測系統,主要是為了實現「回測系統」的定義。根據定義,「Backtesting is the process of applying a trading strategy or analytical method to historical data to see how accurately the strategy or method would have predicted actual results.」 --- Quoting from http://InvestingAnswers.com

說到模擬,我的意思是,除了策略的代碼和數據,其他全部都用模擬的。真實的證交所配對引擎的隊列/延遲/你自己的訂單對市場的影響,這種東西統統忽略。具體來說,比如延遲,就抽象化為一個數字。整個系統也是很簡單地一邊把數據播放,一邊策略在跑,跑出來的結果主要看:
1,策略的實現是不是基本正確?有沒有產生訂單?是不是在恰當的時機產生的?
2,策略的結果跟市場走向是不是趨於一致?不一致的話有多少偏離?多少情況下是有偏離的?分別是什麼情況?(那怎樣量化偏離?有人會引入Pnl,所以才會說,看,我這策略回測很掙錢)。

數據方面:
用python的交易員 已經講的很好了。不再廢話。

沒見過國外的數據,剛做了一個深圳股票的tick data sim,感覺還是蠻簡單。成交和撤單都是有編號(有序)的無需假設,報撤單速度可以假設自己天下第一(事實上也基本沒有競爭),唯一模擬不了就是自己的訂單對市場的影響(但我認為sim確實幹不了這事),做一些簡單的假設,總體來說還是可以逼近實盤。snapshot (國內的期貨期權)的sim只做ioc訂單也可以很准,做限價單sim需要一個排隊成交概率模型(做不到每筆都准但可以從大樣本逼近),也談不上高深。

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