Menentukan sigval dalam add.rule()

Sekarang setelah Anda menentukan kolom yang berisi sinyal relevan dalam strategi Anda, argumen berikutnya yang perlu ditentukan di add.rule() adalah sigval, yaitu nilai yang harus diambil oleh sinyal Anda untuk memicu aturan.

Ingat bahwa semua keluaran sinyal berupa 1 atau 0. Pada dasarnya, sinyal selalu dalam keadaan "on" atau "off" pada waktu tertentu. Untuk keperluan kita, ini setara dengan dua nilai logika yang mungkin: TRUE atau FALSE. Saat menentukan sigval dalam perintah add.rule(), Anda perlu menyatakan apakah aturan dipicu ketika nilai sinyal TRUE atau FALSE.

Untuk melanjutkan aturan keluar baru dalam strategi Anda, Anda perlu menentukan bahwa transaksi harus terjadi ketika filterexit bernilai TRUE. Perintah add.rule() dari latihan sebelumnya tersedia di ruang kerja Anda.

Latihan ini adalah bagian dari kursus

Perdagangan Finansial dengan R

Petunjuk latihan

Atur argumen sigval dalam add.rule() sama dengan TRUE.

Latihan interaktif praktis

Cobalah latihan ini dengan menyelesaikan kode contoh berikut.

# Fill in the sigval argument in add.rule()
add.rule(strategy.st, name = "ruleSignal", 
         arguments = list(sigcol = "filterexit", sigval = ___, orderqty = "all", 
                        ordertype = "market", orderside = "long", 
                        replace = FALSE, prefer = "Open"), 
         type = "exit")

Edit dan Jalankan Kode

Latihan ini adalah bagian dari kursus

Perdagangan Finansial dengan R

SkillTag.level.intermediateSkillTag.label

4.9+

Mulai Kursus Gratis

In this chapter, you will learn the definition of trading, the philosophies of trading, and the pitfalls that exist in trading. This chapter covers both momentum and oscillation trading, along with some phrases to identify these types of philosophies. You will learn about overfitting and how to avoid it, obtaining and plotting financial data, and using a well-known indicator in trading.

Exercise 1: Why do people trade?Exercise 2: Identifying types of trading philosophies - I Exercise 3: Identifying types of trading philosophies - II Exercise 4: Identifying types of trading philosophies - III Exercise 5: Pitfalls of various trading systems Exercise 6: How to prevent overfitting Exercise 7: Getting financial data Exercise 8: Plotting financial data Exercise 9: Adding indicators to financial data Exercise 10: Adding a moving average to financial data

Before building a strategy, the quantstrat package requires you to initialize some settings. In this chapter you will learn how this is done. You will cover a series of functions that deal with initializing a time zone, currency, the instruments you'll be working with, along with quantstrat's various frameworks that will allow it to perform analytics. Once this is done, you will have the knowledge to set up a quantstrat initialization file, and know how to change it.

Exercise 1: Setting up a strategy I Exercise 2: Understanding initialization settings - I Exercise 3: Understanding initialization settings - II Exercise 4: Setting up a strategy II Exercise 5: Understanding initialization settings - III Exercise 6: Understanding initialization settings - IV

Indicators are crucial for your trading strategy. They are transformations of market data that allow a clearer understanding of its overall behavior, usually in exchange for lagging the market behavior. Here, you will be working with both trend types of indicators as well as oscillation indicators. You will also learn how to use pre-programmed indicators available in other libraries as well as implement one of your own.

Exercise 1: Introduction to indicators Exercise 2: The SMA and RSI functions Exercise 3: Visualize an indicator and guess its purpose - I Exercise 4: Visualize an indicator and guess its purpose - II Exercise 5: Indicator mechanics Exercise 6: Implementing an indicator - I Exercise 7: Implementing an indicator - II Exercise 8: Implementing an indicator - III Exercise 9: Indicator structure review Exercise 10: Code your own indicator - I Exercise 11: Code your own indicator - II Exercise 12: Apply your own indicator

When constructing a quantstrat strategy, you want to see how the market interacts with indicators and how indicators interact with each other. In this chapter you'll learn how indicators can generate signals in quantstrat. Signals are interactions of market data with indicators, or indicators with other indicators. There are four types of signals in quantstrat: sigComparison, sigCrossover, sigThreshold, and sigFormula. By the end of this chapter, you'll know all about these signals, what they do, and how to use them.

Exercise 1: Introduction to signals Exercise 2: Signal or not? - I Exercise 3: Signal or not? - II Exercise 4: sigComparison and sigCrossover Exercise 5: Using sigComparison Exercise 6: Using sigCrossover Exercise 7: sigThreshold Exercise 8: Using sigThreshold - I Exercise 9: Using sigThreshold() - II Exercise 10: sigFormula Exercise 11: Using sigFormula()Exercise 12: Combining signals - I Exercise 13: Combining signals - II

In this chapter, you'll learn how to shape your trading transaction once you decide to execute on a signal. This chapter will cover a basic primer on rules, and how to enter and exit positions. You'll also learn how to send inputs to order-sizing functions. By the end of this chapter, you'll learn the gist of how rules function, and where you can continue learning about them.

Exercise 1: Pengantar aturan Exercise 2: Menggunakan add.rule() untuk menerapkan aturan keluar Exercise 3: Menentukan sigcol dalam add.rule()Exercise 4: Menentukan sigval dalam add.rule()

Latihan Saat Ini

Exercise 5: Mekanisme aturan lanjutan Exercise 6: Menentukan orderqty dalam add.rule()Exercise 7: Menentukan ordertype dalam add.rule()Exercise 8: Menentukan orderside dalam add.rule()Exercise 9: Mekanisme aturan lanjutan II Exercise 10: Menentukan replace dalam add.rule()Exercise 11: Menentukan prefer pada add.rule()Exercise 12: Menggunakan add.rule() untuk menerapkan aturan masuk Exercise 13: Fungsi pengukuran ukuran order Exercise 14: Menerapkan rule dengan fungsi penentuan ukuran order

After a quantstrat strategy has been constructed, it's vital to know how to actually analyze the strategy's performance. This chapter details just that. You will learn how to read vital trade statistics, and view the performance of your trading strategy over time. You will also learn how to get a reward to risk ratio called the Sharpe ratio in two different ways. This is the last chapter.

Exercise 1: Analyzing your strategy Exercise 2: Running your strategy Exercise 3: Profit factor Exercise 4: Percent positive Exercise 5: Visualizing your strategy Exercise 6: Using chart.Posn()Exercise 7: Adding an indicator to a chart.Posn() chart Exercise 8: Additional analytics Exercise 9: Cash Sharpe ratio Exercise 10: Returns Sharpe ratio in quantstrat