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Ever seen such profitable #gold trading XAUUSD on MT5?

Algorithmic trading is now dominating the financial markets.

Individual traders who still compete in trading by using traditional trading systems based on rules or technical indicators and implemented, as single decision trees are increasingly ineffective.

Between 2003 and 2019 algorithmic trading increased from 15% to 85% from total market transactions Worldwide in equities, options, derivatives and currency exchange.

Algorithmic trading uses a computer program that follows a defined set of instructions (an algorithm) to place a trade. The trade, in theory, can generate profits at a speed and frequency that is impossible for a human trader.

Most trading algorithms based on Technical analysis. A trading discipline employed to evaluate investments and identify trading opportunities in price trends and patterns seen on charts. Technical analysts believe past trading activity and price changes of a security can be valuable indicators of the security’s future price movements.

Most of the algorithmic trading strategies that are being used today are broadly classified into the following categories:

Momentum / trend following

Statistical Arbitrage

Market Making

Machine learning-based

WE ARE a team of Experts in Mathematical Modelling for Quantitative trading build and trade Unique Algorithms. Our Algorithms are Not based on traditional technical or fundamental analysis. Interpretation or prediction elements, they are Not based on signals relying on historical data etc.

Our Mathematical Models and Algorithms are based on:

1. Set parameters.

2. Trade Entry, Re-entry and Exit rules,

3. The right combination of probability.

4. Risk and power of position sizing model.

Algorithmic trading as a subset of quantitative trading in so far as how the trading desk created. On a day to day basis, we are as algorithmic traders find ourselves digging much deeper into a machine learning/data science book than a finance book.

From Simple to Complicated:

Here we try to see what market behavior is normal. We look at cross-sectional returns of a set of issues to spot the aberrations from normal market relationships.

The hypothesis is that these differences are due to demand-supply imbalances.

Our trading Algorithms Enter markets simultaneously on the long and short side. They are participating rather than anticipate the Markets move. Engaged in possible trade while entered in the system. Set of several different algorithms tied to starters and will engage in play as soon as opportunity presents.

First, is a set of distributed algorithms. It takes into consideration: Volatility, momentum, money flow as well as commissions, swaps (triple swaps) associated with particular instruments.

A healthy number of excel sheets are incorporated into algorithms for on-going calculation for a possible Exit, re-Entry point.

Close to the area of possible Exit (profit taking), all the positions are re-grouped and transferred from one Algorithm to a trend following system in order to squeeze more profits to complete the TRADE.

Every system is based on set parameters and has no Prediction elements. Every executed order initiate cancels/replace process and orders in the system do change.

Process take split second and with the next executed order same thing happens over and over again. There is no Loss accepted at the Exit.

Every Trade combination is a Profitable outcome, Small or Big, doesn’t matter. Profit on Exit only. Period.

Trades can go from 2 initial open orders to up to 500 (maximum allowed by Broker). It can have from 2 to 200 open positions (maximum allowed by broker).

Never ever flat. Not for the night session, weekend, holidays, major announcements,

“Brexits” or anything that can spook the Markets.

Volatility is our main fuel. Bread and Butter.

Our success depends on how efficiently we use machine learning in the field, and how nimble we are in incorporating changing market conditions.

With regards to the algorithm, very few traders, if any, are going to share any coded algorithms they use in their trading. The working algorithm is the result of an efficient and exacting development process, as a creator, we have a reason to believe it is highly profitable and robust.

With regards to the procedure, we are, as Systematic/Algorithmic traders don’t necessarily have a procedure for trading the markets, because we are don’t actually pull the trigger on our exits and entries manually, but instead, we sit back and allow our pre-coded algorithms to do so on our behalf.

Our approach is to scan our historical record of several instruments 24/7 in an automated way, devoting several servers to this task, attempting to find market logic combinations, proprietary measures of price, volume, and volatility behavior, that have proven themselves historically to be consistently profitable.

The best of these logic-combinations are ‘vetted’ in several unique ways, according to methods that have proven themselves in the past, and the best of these are often turned into visualizations of data, similar to the ‘heat map’.

Risk management:

According to my understanding (I don’t live in the US) this sector is improving in demand and asking for more technically prepared analysts. AI can’t replace at all these jobs, but people who know how to use AI can.

Machine Learning and Artificial Intelligence cannot replace people, at least for the moment and probably for the next 5–10 years, but are statistical methods, which could improve and become better than the usual, being integrated to them.

To control the possible risks many factors goes into the calculation:

Trade size, Algorithms inside parameters (over300 different parameters), day of the week, time of the day, quantity already opened positions as well as quantity of outstanding orders.

Information arrives and collected to several servers where we collect and then sort out data to operate the Algorithm.

Risk of Ruins:

From several servers, we connected to an accounts trading Platform via direct API.

Considering that we are in a category of medium to low-frequency trade, time loss due to connectivity is not an issue. All possible variations of a next trade are already in the system with mathematical formulas attached to them in order to cancel and replace the point of trade entry/exit and not the type of trade.

Target now: 10-15% gross per month with additional layers of security

Broker: reg. in Australia

Min. investment: 30kUSD or EUR – 4 BTC still do it and get accepted by the broker. Just contact us for more details.