‘My Personal Forex Trading Plan’ is one of a small number of trading books from
which one can actually learn a complete Forex trading strategy as a systematic
process from beginning to end.
This book is as straight forward as can be. Each short chapter is a standalone trading concept and the last chapter ‘Putting it all together’ outlines a complete Forex trading plan of action.
The purpose of this trading plan is to identify the necessary actions for rational decision making when trading financial markets. The goals are to achieve success in trading and increase the trading account value by 30% by December 31, 2010. Objectives include participating in 4 trading rooms per month and attending a workshop. The plan outlines a trading team, support structure, tools/actions, performance management, and money management.
“Forex Trading Strategies” is a complete guide of most popular and widely used strategies in Forex trade. You can read about day trading and its main types, understand the strategies based on market analysis, learn about portfolio and algorithmic trading, and many more. The book represents the ins and outs of each strategy - why and how it is used and how to get profit from trade. It is suitable for all traders who are novice in trade or want to improve their skills. All the strategies classified and explained here are for educational purposes and can be applied by each trader in a different way.
‘My Personal Forex Trading Plan’ is one of a small number of trading books from
which one can actually learn a complete Forex trading strategy as a systematic
process from beginning to end.
This book is as straight forward as can be. Each short chapter is a standalone trading concept and the last chapter ‘Putting it all together’ outlines a complete Forex trading plan of action.
The purpose of this trading plan is to identify the necessary actions for rational decision making when trading financial markets. The goals are to achieve success in trading and increase the trading account value by 30% by December 31, 2010. Objectives include participating in 4 trading rooms per month and attending a workshop. The plan outlines a trading team, support structure, tools/actions, performance management, and money management.
“Forex Trading Strategies” is a complete guide of most popular and widely used strategies in Forex trade. You can read about day trading and its main types, understand the strategies based on market analysis, learn about portfolio and algorithmic trading, and many more. The book represents the ins and outs of each strategy - why and how it is used and how to get profit from trade. It is suitable for all traders who are novice in trade or want to improve their skills. All the strategies classified and explained here are for educational purposes and can be applied by each trader in a different way.
Studies within the field of Behavioural Finance have shown that due to human bias,
market participants do not always act rationally. This creates opportunities in the market for traders to profit from the inefficiencies created by these biases. However, Behavioural Finance also shows that these same biases cause traders to act in ways that could have negative impacts on their personal trading results. The perception of fund managers does change when they have been trained on Behavioural Finance (Nikiforow, 2010). Training sharpens the awareness of loss aversion and limits the affinity for conformity. Nikiforow suggests that what is needed is to incorporate these approaches into the investment process (Nikiforow, 2010). This paper reviews some of the common behavioural biases and how they can impact trading. It then covers the general content and structure of a trading plan and recommends areas where traders can incorporate behavioural bias awareness into their plans using rules and checkpoints.
This document discusses different ways to code for current equity in backtesting strategies in AmiBroker. It provides guidelines on using Foreign("~~~Equity", "C");, explaining that it saves equity data in a symbol, updates at the end of each backtest, and changes between backtests. The best way is coding with the Custom Backtester Interface (CBI) as it provides the most flexibility and accuracy. PositionSize and SetPositionSize are also recommended over Foreign for simplicity and performance.
A Guide to Trading System Analysis : แนะนำแนวทางการอ่านผล Backtest เพื่อวิเคร...siamquant
This document provides an overview of analyzing trading system backtesting reports using Amibroker. It discusses the importance of reading backtesting reports as a "financial statement for quants". It outlines key characteristics of good measurement in reports, including being meaningful, simple, comparative, standard, and behavior changing. The document then demonstrates analyzing a sample P/E band contrarian strategy report in Amibroker, covering portfolio equity, trades, profit/loss, drawdowns, and other metrics. It notes that standard Amibroker reports can lack insights and recommends using additional analytics and charts in SiamQuant to gain more wisdom from backtesting results.
Monte Carlo Simulation for Trading System in AmiBrokerThaiQuants
This slides presents two types of simulation in trading system: trade shuffling and trade simulating. Trade shuffling is common in most trading system software using trades from a backtest and randomly shuffling orders of those trades to get many equity curves and also CAR and MDD. On the other hand, trade simulating requires application to run many backtests to get a set of results, equity curves. Its simulation and random takes place in modeling slippage, missing trades, noise, and many others in order to get results that close to actual trading operation. In the end, comparisons between trade shuffling and trade simulating are discussed along with their advantages and disadvantages.
This presentation is an introduction to AmiBroker function ApplyStop. It discusses various topic about stop triggers in general and also in AmiBroker specifically. สอนการใช้ ApplyStop ใน AmiBroker เบื้องต้น โดย ThaiQuants.com
สามารถดูวีดีโอประกอบได้ที่
https://vimeo.com/thaiquants/amibroker-applystop-1
https://vimeo.com/thaiquants/amibroker-applystop-2
และดูวีดีโอเบื้องต้นสำหรับ ApplyStop ได้ที่
http://amibroker.thaiquants.com/limit-loss-and-set-profit-with-applystop-function/
This document provides an overview of Amibroker AFL coding. It discusses Amibroker as a trading analysis software, describes the Amibroker Formula Language for writing custom indicators and trading systems, and covers various AFL concepts like arrays, functions, plots and alerts. The document also presents examples of position sizing, backtesting and designing trading systems using AFL.
Technology Edge in Algo Trading: Traditional Vs Automated Trading System Arch...QuantInsti
The document discusses the evolution of trading system architectures from traditional to automated. Traditionally, trading systems consisted of components to access market data, store historical data, analyze data, input trades, and route orders. With automation and high-frequency trading, latency had to be reduced to milliseconds requiring event processing and order generation to move to servers. Architectures now feature complex event processing engines, risk management checks, standardized FIX protocols, data normalization, order routing, extensive data storage, and replay capabilities for backtesting. Overall the document outlines how trading systems have been optimized for speed and automation to facilitate high-frequency algorithmic trading.
The document outlines a four-part trading business plan to help traders determine what to trade, when to trade, and how to execute trades profitably. The plan includes sections on trading objectives, a self-assessment, and trading system rules. The system rules section specifies what charts, securities, indicators, and criteria the trader will use to determine entry and exit points for both long and short trades.
1) The document provides steps to design a Forex trading system from scratch, including observation, hypothesis, measuring the hypothesis, selecting a time frame, developing entry and exit rules, and risk management.
2) An example system is described that uses breakouts of the previous day's high and low to enter long or short positions, along with moving averages and Bollinger Bands to determine trend and volatility.
3) Backtesting results of the example system showed steady growth in the equity curve, indicating it was a profitable system.
How Easy the AmiBroker AFL can be converted into C++ DLL plugin...!
There are many AFL experts who are traders as well who want to convert their AFL code business(trade) logic to host inside the DLL plugin for hiding the logic and for the distribution to their clients...
How easy is this for AFL coders?? Definitely tough and tedious job if you are directly using AmiBroker C based ADK..besides AFL coders may not know the C/C++ language.
Here is one library description that can be used for 1-1 mapping each line in the AFL code to C/C++ code..
Refer the simple example attached which shows the Pivots AFL code and its equivalent C/C++ code. Compare the line numbers between 10 to 29 high-lighted in yellow color !!!... It is virtually "Cut n Paste" i.e. "Cut as AFL & Paste as C++" operation!!...
The document discusses the basics of trading system design and the Amibroker software. It covers key concepts like the components of a trading system, different types of traders and trading systems, and the stages of trading system design such as analysis, design, implementation, testing and evaluation. It also provides an overview of Amibroker capabilities like ease of use, custom indicators, backtesting and optimization. The document aims to help users understand trading systems and leverage Amibroker features to design and test their own systems.
Presentation performed by Jerry Suppan at the Tokyo PC Club on Thursday, January 6, 2011.
He presented on basic concepts of Forex (foreign exchange) and also how to get started in online trading of forex by introducing brokers to trade forex online.
Fixed Income Trading System ArchitectureKhader Shaik
This document outlines the architecture for a fixed income trading platform. It discusses both technical requirements like performance, scalability, and security, as well functional requirements such as trade capture, pricing, and risk analytics. It describes popular components like the front-end applications, middleware application servers, database, and backoffice systems. Finally, it covers considerations for the technology team developing and supporting such a platform.
Studies within the field of Behavioural Finance have shown that due to human bias,
market participants do not always act rationally. This creates opportunities in the market for traders to profit from the inefficiencies created by these biases. However, Behavioural Finance also shows that these same biases cause traders to act in ways that could have negative impacts on their personal trading results. The perception of fund managers does change when they have been trained on Behavioural Finance (Nikiforow, 2010). Training sharpens the awareness of loss aversion and limits the affinity for conformity. Nikiforow suggests that what is needed is to incorporate these approaches into the investment process (Nikiforow, 2010). This paper reviews some of the common behavioural biases and how they can impact trading. It then covers the general content and structure of a trading plan and recommends areas where traders can incorporate behavioural bias awareness into their plans using rules and checkpoints.
This document discusses different ways to code for current equity in backtesting strategies in AmiBroker. It provides guidelines on using Foreign("~~~Equity", "C");, explaining that it saves equity data in a symbol, updates at the end of each backtest, and changes between backtests. The best way is coding with the Custom Backtester Interface (CBI) as it provides the most flexibility and accuracy. PositionSize and SetPositionSize are also recommended over Foreign for simplicity and performance.
A Guide to Trading System Analysis : แนะนำแนวทางการอ่านผล Backtest เพื่อวิเคร...siamquant
This document provides an overview of analyzing trading system backtesting reports using Amibroker. It discusses the importance of reading backtesting reports as a "financial statement for quants". It outlines key characteristics of good measurement in reports, including being meaningful, simple, comparative, standard, and behavior changing. The document then demonstrates analyzing a sample P/E band contrarian strategy report in Amibroker, covering portfolio equity, trades, profit/loss, drawdowns, and other metrics. It notes that standard Amibroker reports can lack insights and recommends using additional analytics and charts in SiamQuant to gain more wisdom from backtesting results.
Monte Carlo Simulation for Trading System in AmiBrokerThaiQuants
This slides presents two types of simulation in trading system: trade shuffling and trade simulating. Trade shuffling is common in most trading system software using trades from a backtest and randomly shuffling orders of those trades to get many equity curves and also CAR and MDD. On the other hand, trade simulating requires application to run many backtests to get a set of results, equity curves. Its simulation and random takes place in modeling slippage, missing trades, noise, and many others in order to get results that close to actual trading operation. In the end, comparisons between trade shuffling and trade simulating are discussed along with their advantages and disadvantages.
This presentation is an introduction to AmiBroker function ApplyStop. It discusses various topic about stop triggers in general and also in AmiBroker specifically. สอนการใช้ ApplyStop ใน AmiBroker เบื้องต้น โดย ThaiQuants.com
สามารถดูวีดีโอประกอบได้ที่
https://vimeo.com/thaiquants/amibroker-applystop-1
https://vimeo.com/thaiquants/amibroker-applystop-2
และดูวีดีโอเบื้องต้นสำหรับ ApplyStop ได้ที่
http://amibroker.thaiquants.com/limit-loss-and-set-profit-with-applystop-function/
This document provides an overview of Amibroker AFL coding. It discusses Amibroker as a trading analysis software, describes the Amibroker Formula Language for writing custom indicators and trading systems, and covers various AFL concepts like arrays, functions, plots and alerts. The document also presents examples of position sizing, backtesting and designing trading systems using AFL.
Technology Edge in Algo Trading: Traditional Vs Automated Trading System Arch...QuantInsti
The document discusses the evolution of trading system architectures from traditional to automated. Traditionally, trading systems consisted of components to access market data, store historical data, analyze data, input trades, and route orders. With automation and high-frequency trading, latency had to be reduced to milliseconds requiring event processing and order generation to move to servers. Architectures now feature complex event processing engines, risk management checks, standardized FIX protocols, data normalization, order routing, extensive data storage, and replay capabilities for backtesting. Overall the document outlines how trading systems have been optimized for speed and automation to facilitate high-frequency algorithmic trading.
The document outlines a four-part trading business plan to help traders determine what to trade, when to trade, and how to execute trades profitably. The plan includes sections on trading objectives, a self-assessment, and trading system rules. The system rules section specifies what charts, securities, indicators, and criteria the trader will use to determine entry and exit points for both long and short trades.
1) The document provides steps to design a Forex trading system from scratch, including observation, hypothesis, measuring the hypothesis, selecting a time frame, developing entry and exit rules, and risk management.
2) An example system is described that uses breakouts of the previous day's high and low to enter long or short positions, along with moving averages and Bollinger Bands to determine trend and volatility.
3) Backtesting results of the example system showed steady growth in the equity curve, indicating it was a profitable system.
How Easy the AmiBroker AFL can be converted into C++ DLL plugin...!
There are many AFL experts who are traders as well who want to convert their AFL code business(trade) logic to host inside the DLL plugin for hiding the logic and for the distribution to their clients...
How easy is this for AFL coders?? Definitely tough and tedious job if you are directly using AmiBroker C based ADK..besides AFL coders may not know the C/C++ language.
Here is one library description that can be used for 1-1 mapping each line in the AFL code to C/C++ code..
Refer the simple example attached which shows the Pivots AFL code and its equivalent C/C++ code. Compare the line numbers between 10 to 29 high-lighted in yellow color !!!... It is virtually "Cut n Paste" i.e. "Cut as AFL & Paste as C++" operation!!...
The document discusses the basics of trading system design and the Amibroker software. It covers key concepts like the components of a trading system, different types of traders and trading systems, and the stages of trading system design such as analysis, design, implementation, testing and evaluation. It also provides an overview of Amibroker capabilities like ease of use, custom indicators, backtesting and optimization. The document aims to help users understand trading systems and leverage Amibroker features to design and test their own systems.
Presentation performed by Jerry Suppan at the Tokyo PC Club on Thursday, January 6, 2011.
He presented on basic concepts of Forex (foreign exchange) and also how to get started in online trading of forex by introducing brokers to trade forex online.
Fixed Income Trading System ArchitectureKhader Shaik
This document outlines the architecture for a fixed income trading platform. It discusses both technical requirements like performance, scalability, and security, as well functional requirements such as trade capture, pricing, and risk analytics. It describes popular components like the front-end applications, middleware application servers, database, and backoffice systems. Finally, it covers considerations for the technology team developing and supporting such a platform.
沃倫勒夫縱向量波手環營銷制度說明(Product Sales System Description)qu369142857
沃倫勒夫縱向量波手環
一條$NTD:3567不用繼續再買就可以開始推薦而獲得獎金
全球吸引力的10大優勢:
1.不打針
2.不吃藥
3.不歸0(業績)
4.不用重銷
5.上聘不掉聘
6.上聘也不用自己直推
7.百分之百,自己回饋自己(新零售)
8.傳統零售可做,傳銷也可做
9.一天24小時,幫你血液循環
10.體溫提高一度,免疫力提升6倍
11.沒有差趴的問題
全球吸引力,五大亮點:
1.簡單,易操作
2.速度快,人人可為
3.業績累積不歸零,職級只升不降
4.普通人,平凡人容易賺到錢
5.高手自然在這裡可以創造高收入
在人工智慧逐漸取代人力的時代,這個實力強大的保健產品將能為你打造一條財富自由的康莊大道,有興趣請 email: qu369142857@gmail.com 與我聯繫
Warrenslove longitudinal wave wristband one piece
$USD: 123. You don't need to make any further purchases to start referring and earning bonuses.
☆The world’s top ten attractive advantages:
1. No injection required
2. not taking medicine
3. No reset (performance)
4. No need to resell
5. No loss of ranking
6. No direct recommendation is required even when recruiting
7. 100%, self-reward (new retail)
8. Can be done through traditional retail or through direct sales
9. Help blood circulation 24 hours a day
10. Increase in body temperature by one degree boosts immunity sixfold
11. No issues with differences in age or background
☆Five highlights of global appeal:
1. Simple, easy to operate,
2. Fast-paced, suitable for everyone
3. Accumulated performance does not reset; ranks only ascend
4. Ordinary people, common individuals can easily earn money
5. Experts can naturally earn high income here
In an era where AI is gradually replacing manpower, this powerful healthcare product can pave the way to financial freedom for you. If interested, please contact me via email at qu369142857@gmail.com