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BTC/USD 圖表中的內包線形態

Popular Trading Strategies

In this video, we give you a quick overview of the characteristics and features of three popular trading strategies. Although there are many different strategies that can be used in trading, for the sake of this article we will 使用the交易策略 focus on Day Trading , Position Trading and Swing Trading .

Trading strategies such as Day Trading, Position Trading 使用the交易策略 and Swing Trading are implemented by traders in the hope of profiting in the financial markets.

What is 使用the交易策略 a trading strategy and why is it important?

In the world of trading, a strategy is a plan or action you can implement in order to 使用the交易策略 make better trading decisions and try to maximise your earning potential when buying or selling financial products 使用the交易策略 such as CFDs on stocks, commodities, forex pairs and indices. In most cases, a strategy can be customised to your specific preferences and used in conjunction with other strategies.

Having a strategy is important for you as a trader because, when executed correctly, it may help you reach your financial goals. Examples of financial goals could include the establishment of risk tolerance levels, short-term profits versus long-term profits or having a level of financial security to make a major purchase or to improve your cash flow.

What are the most popular strategies?

Three of the most popular trading strategies are:

  • Day Trading
  • Position Trading
  • Swing Trading

Below is some information about each strategy and its key characteristics.

Day Trading

Key Characteristic: Multiple small-size trades held for a short time frame.

As its name implies, the day trading strategy focuses on opening Buy/Sell positions on financial instruments and closing them on the same day (i.e., before the market closes for the trading day). It is a 使用the交易策略 form of trading that requires the ability to respond quickly to fluctuations and subsequent trading opportunities that may arise in the market.

Typically, Day Traders open a number of smaller trades and use stop orders, 使用the交易策略 such as ‘ Close at Profit ’ (to lock 使用the交易策略 in potential profits), and/or ‘ Close at Loss ’ (to manage potential losses that can occur).

Due 使用the交易策略 to the volatile nature of financial markets and the rapid price changes that are possible, day trading can have the potential to be very profitable, but also very unprofitable.

Position Trading

Key Characteristic: A single or few large-size trades held for a relatively long time frame.

Position trading is a medium-term holding strategy 使用the交易策略 where traders keep positions open for longer periods of time such as days, weeks or even months.

This strategy typically relies heavily on fundamental analysis, which 使用the交易策略 is a method of measuring the value of a financial instrument by examining freely-available macroeconomic data (e.g. gross domestic product, supply-to-demand ratio, the rate of employment, the rate of inflation, ease of doing business, 使用the交易策略 etc.). To see when major economic events take place, you can use our Economic Calendar.

A position trader may wait until a stock, such as Netflix, 使用the交易策略 reaches a specific support level before taking a long position, or a specific resistance level before taking a short position - and holding it for a few weeks.

There is presumably less immediacy associated with this type of trading, as traders are not necessarily concerned with intraday prices and generally open a small number of positions.

However, traders need to have a firm grasp of market fundamentals given the reliance on fundamental analysis.

Swing Trading

Key Characteristic: A single trade aimed at catching a trend and which is held for a longer time frame.

In swing trading, a trader typically uses technical analysis to look for certain patterns (upward or downward trends in the 使用the交易策略 market). Technical analysis involves the usage of indicators, such as chart tools, to analyse past performance in 使用the交易策略 order to determine the direction of price movements.

The core idea of swing trading is to spot a market trend and try to time the entry into a position in order to catch (and ride) the wave before it crashes. A rising wave represents an upward swing and a falling wave represents a downward swing.

For this strategy, you can make 使用the交易策略 use of the 90+ trading indicators we provide, such as moving averages and Bollinger Bands, which are offered free of charge to all traders.

To try our indicators, simply sign up / log in, select a financial instrument, go to its chart and click on the (Fx) icon.

btc高频策略

本文来源:BlockVC,原题《订单簿中的“闪电猎手”——高频交易策略详解 | BVC Gaia量化》导语: 高频交易是一种利用复杂计算机系统下单、享有与交易所直连数据通道,具有高换手、低延迟特性的程序化交易方式。高频交易曾在美国股票、期货、外汇等市场中扮演重要角色,巅峰时期其交易量占比甚至.

知识:加密货币,高频交易

2. 用户BTC实盘18天46.82%收益,火星交易大师高频王使用心得

知识:火星

3. 订单簿中的“闪电猎手”——高频交易策略详解|BVCGaia量化

知识:策略,数字货币,区块链,市场

4. 订单簿中的“闪电猎手”——高频交易策略详解 | BVC Gaia量化

知识:交易策略,数字货币

5. 2020 6月数字资产量化市场月度报告 | Blofin

知识:tokeninsight,数字资产,比特币

6. BTC量化交易,损失谁来赔?

. 据模型设计,在逻辑支撑下,运用不同的策略,进行具有胜率优势的投资。高频交易作为量化投资常用策略之一,市场动荡之期,争议频发。今天我们就来扒一扒比特币量化交易中,量化团队通过高频买卖,获取高额佣金那些事。内 容 摘 要一、量化交易中的高频交易合法吗?二、高频交易佣金及投资.

知识:量化交易,比特币

7. 释放精彩,点燃超火,我们再次出发

知识:公链,未来区块链,数字货币,区块链网络拥堵

8. BTC量化交易损失谁来赔?

知识:比特币量化交易,虚拟货币的,比特币等,原告

9. 一个人才沦为韭菜的故事

知识:市值,以太坊,比特币,太坊

10. 高频交易(交易策略及技术)

知识:合约,挖矿,区块链金融,交易挖矿

11. 大做市商沦为韭菜的故事:一着不慎

知识:市值,以太坊,比特币,太坊

12. 大做市商沦为韭菜的故事:一着不慎

知识:币圈,故事

13. 大做市商沦为韭菜的故事:一着不慎

知识:使用the交易策略 市值,以太坊,太坊,比特币

14. 从魔改韭菜收割机探讨高频策略设计

前几期文章我们分析了原版的现货版韭菜收割机高频策略的思路以及代码实现。对于币圈量化的很多用户都比较关注print money大佬的策略,print money大佬的策略是在币安USDT合约交易的。从观察以及众多关注者的分析可知,该高频策略类似韭菜收割机的原理(草神也说过高频策略原理比较趋近)。但是肯.

知识:币安,合约,策略,合约交易

15. 在数量模型中寻找投资机会

知识:数字货币,策略,市场,资产

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算法交易的主要类型与策略分析

相对于TWAP策略而言, 成交量加权平均价格(VWAP) 交易策略是指交易者利用市场成交量来试图实现使平均执行价格等于VWAP基准价格的执行策略。它是最常用的交易策略之一,具有简单易操作等特点,基本思想就是让算法的成交量提交比例与市场成交量比例尽可能匹配,在减少对市场冲击的同时,获得市场成交加权的平均交易价格。因此,VWAP策略一般不直接对交易的冲击成本建模,而是注重日内成交量分布的预测。值得注意的是,如果订单量很大,VWAP策略的冲击成本仍不可忽略。

2

成本驱动型算法交易

成本驱动型算法的主要目的是降低总体交易成本 ,除了佣金和价差之外,冲击成本和时机风险等隐性成本都是成本的重要组成部分。虽然将大订单进行分割并将其分散到相当长的一段时间内进行交易可以最小化市场冲击,然而这样做会把订单暴露在更大的时机风险下,对波动性大的资产尤其如此。因此,成本驱动型算法也需要同时降低时机成本。

过于主动的交易会导致相当大的市场冲击,而过于被动的交易会引起时机风险。 为了最小化总的交易成本,我们需要在冲击成本和时机风险这两者之间寻找一个平衡点。为了找到这样一个平衡点需要考虑到投资者的风险厌恶程度。早期的成本驱动型算法是由冲击驱动算法吸收了时机风险等要素演化而来的,现在成本驱动型算法越来越多地使用复杂市场模型,去预测潜在的交易成本和决定指令的最优交易策略,主要的类型包括:

一个 主动实值策略(AIM) 是指当价格有利时交易更加主动,而当价格变得不利时交易变得被动。对于一个买入指令,有利的价格条件等价于市场价格下降到基准价格以下;而对于卖出指令情况则是相反。因此只有当市场价格显著下降到基准价格以下,主动实值策略的交易率才会上升。而 被动实值策略(PIM) 则是相反的,且当价格有利时它会变得更加被动,而当价格不利时它会变得更加主动。因此,交易率只有当市场价格显著地高于基准时,才会上升。

收盘算法(MOC) 的主要问题在于,其基准只有在市场收盘价格确定下来后才能得知。所以,该算法并不能把交易日内的交易进行平均,然后把订单进行简单切割去匹配基准。若执行交易的时间较早,收盘价的波动性会给交易者带来时机风险;若交易时间较晚,则会对市场产生较大的冲击。

3

机会导向型算法交易

机会导向型算法是从一系列交易算法中演化而来的, 其本质都是利用有利的市场条件 ,包括价格、流动性或其他因素。其中盯住价格算法是以成交量加权平均价格算法、参与率算法等策略为基础,与它们所不同的是添加了对价格的敏感指标,并且能够基于当前市场价格是否有利来修正算法的交易风格。因此许多看重市场冲击成本的算法都会更多采用机会导向型策略。

加密貨幣技術分析:內包線 (Inside Bar) 突破交易策略

內包線構成

如上述所言,在右邊的稱為內包線,而在左邊的通常被稱為 “母線”(Mother Bar),因此不少投資者會簡稱該兩支蠟燭為 “mb” 及 “ib”。母線可以為陽燭 (綠色)或陰燭(紅色)。

透過內包線形態交易

BTC/USD 圖表中的內包線形態

然而,沒有明確的指示我們應該在哪一個確實的價位設定止損訂單,因此投資者通常會使用 R:R (風險/ 回報比率)去找出合適的止贏的價格水平。如果你的投資風格採用傳統的 2:1 R:R,那你便可以很簡單地計算出你的止損價位及把止贏的價位作雙倍計算。