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In questo video di trading online ti spiego come scelgo gli strumenti operativi e quali sono i punti che dovresti seguire per concentrare la tua operatività.

Il titolo è volutamente provocatorio!
Ogni trader deve fare la scelta dello strumento o degli strumenti su cui effettuare l’operatività, ma quali sono i punti “cardinali” su cui riflettere?

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Risk Disclosure: Futures and forex trading contains substantial risk and is not for every investor. An investor could potentially lose all or more than the initial investment. Risk capital is money that can be lost without jeopardizing ones’ financial security or life style. Only risk capital should be used for trading and only those with sufficient risk capital should consider trading. Past performance is not necessarily indicative of future results.
Hypothetical Performance Disclosure : Hypothetical performance results have many inherent limitations, some of which are described below. no representation is being made that any account will or is likely to achieve profits or losses similar to those shown; in fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently achieved by any particular trading program. One of the limitations of hypothetical performance results is that they are generally prepared with the benefit of hindsight. In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk of actual trading. for example, the ability to withstand losses or to adhere to a particular trading program in spite of trading losses are material points which can also adversely affect actual trading results. There are numerous other factors related to the markets in general or to the implementation of any specific trading program which cannot be fully accounted for in the preparation of hypothetical performance results and all which can adversely affect trading results.

Trading online - [(FDAX - ZB) / FGBL ] * π = ?, Forex Algorithmic Trading Zb

Forex Algorithmic Trading Zb, Trading online – [(FDAX – ZB) / FGBL ] * π = ?.

What percentage of trading is algorithmic?

In the US, concerning 70 percent of general trading quantity is produced through Automated trading. The overall trading quantity of artificial intelligence trading estimated in arising economies like India is approximately 40 percent.

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Originally published: June 11, 2014
Author: Kevin J. Davey

Skills Every Algo Trader Demands

To be an effective algo trader, you have to have a couple of important abilities. First, you need to be able to trade, or a minimum of understand the essentials of trading.

Do you recognize what a stop order is?

Or limitation order?

Do you recognize the margin requirements for the market you intend to trade?

Is the exchange where you are trading managed? Questions such as this are essential. As an example, it is essential you realize the danger inherent in uncontrolled exchanges.

Do you understand specifics of the tool you wish to trade? For example, if you trade online livestock futures, do you understand exactly how to prevent having 40,000 pounds of online cattle provided to your front backyard? I doubt it has ever before taken place to a trader, but it is definitely feasible. The even more you understand about trading generally, the easier the algo trading procedure will be.

A second skill is being proficient at mathematics. You must have a good understanding of financial computations, fundamental stats and computing trading efficiency metrics. A related skill is being excellent with Excel or other data adjustment software such as Matlab. You will certainly be using such software a great deal to supplement your trading strategy analysis, so the much better off you are at mathematics, the better you will be at algo trading.
The 3rd essential ability is to know how to run your selected trading platform. This seems like a standard ability, but I constantly inform traders that they need to maintain learning their platform till they can trick it i.e., they can produce trading systems that make use of weak points in the system’s backtest engine. By being experienced sufficient to deceive the software, you can prevent several newbie as well as intermediate level errors.

Being able to follow a well-known scientific approach to trading system growth is a 3rd ability every good algo trader has. To create strong trading systems, you need to have a sound procedure for designing, developing as well as examining your algo methods. It is not as easy as simply shows as well as trading. If you do not have the abilities or ability to adhere to a set process, algo trading might not be for you.

The final skill you require to have algo trading success is perhaps one of the most essential – programming ability. Keep in mind a while back when I discussed trading software? Well, a vital part of recognizing which item of software program to use is understanding your shows capabilities. Various platforms require various shows capabilities, with some systems requiring C++ kind programs abilities, while others may just need drag and decline visual programming skills. The key is to be skilled in whatever programs language is required.

Successful algo traders program hundreds and even countless trading systems throughout a year. That is since the majority of trading systems wear they lose money in the future. Can you visualize paying somebody to program pointless methods for you? I sure can’t! So, programs capacity is well worth your time if you wish to be a successful algo trader.

What Not To Do in Automated Trading

Prior to I talk about a strong, tried and tested procedure to establishing successful algo trading systems, it deserves pointing out a few of things NOT to do. Virtually every new algo investor falls under these mistakes, yet with a little forewarning, you can easily avoid them. Speaking from individual experience, guiding around these catches will conserve you a lot of money.

First, given that several algo traders have shows, science and math histories, they think that their models need to be complicated. Besides, financial markets are intricate monsters, and more trading guidelines as well as variables should be better able to version that actions. INCORRECT! Extra policies as well as variables are not better in any way. Yes, challenging designs will fit historic information better, but monetary markets are loud. Sometimes, having a lot of regulations simply designs the sound much better, not the actual underlying market signal. Most professional algo traders have easy models, because those tend to work the most effective going forward on hidden data.

When a trading system design is full, the 2nd challenge becomes an issue: optimizing. Even if you have variables (such as relocating average sizes, or overbought/oversold thresholds) that could be maximized does not indicate they need to be enhanced. And even if your computer can run a million backtest versions an hour does not mean you should. Optimizing is fantastic for producing outstanding backtests, yet keep in mind the majority of the market data is simply noise. A trading method maximized for a loud historical rate signal does not translate well to future efficiency.

A 3rd pitfall is connected to the initial two risks: building a terrific backtest. When you are establishing an algo system, the only feedback you get on exactly how good it may be is through the historical backtest. So naturally most traders try to make the backtest as best as possible. An experienced algo investor, nonetheless, bears in mind that the backtest does not matter nearly as much as real time efficiency. Yes, a backtest needs to be profitable, however when you find yourself attempting to boost the backtest performance, you are in threat of coming under this catch.

A fourth and last algo trading pitfall is the “too great to be real” trap. Be wary of any type of historical outcome that simply looks also excellent to be true. Possibilities are it will not perform nearly also moving forward, it if carries out at all. Practically every algo investor I recognize has actually created at the very least one “Holy Grail” trading system, one with historic efficiency that would astonish any kind of investor or trader. However practically without exception, those excellent methods break down in real time. Perhaps it was due to a programs error, over-optimization or deceiving the approach backtest engine, but having a healthy dosage a hesitation first maintains you away from strategies such as this.

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