Currency Markets Trading System
data science (applications)
Beyond Today's Ai
Artificial Intelligence (Ai)
Machine Learning (ML)
Deep Learning (DL)
War of Attrition (WOA) was developed and is managed by the developer
of WOA, Donald J. Beaudry Jr. This highly sophisticated Ai trading system is the next 'alpha generator' of trading in the financial markets.
WOA daily reviews thousands of potential trade set ups and analyzes the possible trades to determine their viability through ML, machine learning. Determining the viability of WOA's trades is done in real time - using an electronic check off list - to see if a trade qualifies for execution at that exact moment. Flash technology is used to analyze a stringent and rigorous proprietary check list developed exclusively by the developer of WOA, Donald Beaudry. If a potential trade doesn't meet our exacting grey box model systems metric, a position is not entered into by WOA. WOA is an automated system which requires no human involvement.
It should be noted, when a trade is entered into, a precise stop-loss level is pre-determined. This stop-loss calculation uses a purely mathematical paradigm. If breached the trade is exited. The end result is an extremely accurate trading system featuring consistent year to year positive
returns with exceptional risk management techniques incorporated into and driving results.
WOA, using flash and gaussian technology, is constantly analysing when, and if, it is time to be entering into a short or long position. When all our criteria is met, then and only then, is a position taken. WOA takes in real time data and analyses it in microseconds to determine if a position should be taken or not. The end result is overall extremely accurate trading, with minimal down side risk.
Live Stream Historical Backtesting (LSHB) is a proprietary method of back testing for WOA developed by the developer of WOA, Donald Beaudry. This proprietary method allows for unprecedented analysis in multiple level viewing of past and present data using machine learning.
For a more in-depth explanation of WOA, please feel free to contact Donald, Developer of WOA, to set up a potential virtual meeting anytime. WOA is a highly sophisticated system that may need more in depth
explanation for a more complete understanding.
WOA | tech specs
(1) WOA can operate and be connected to one-click systems as well
as Electronic Communication Networks (ECN's) and Straight-Through
Processing (STP) - trading solely EUR|USD spot.
(2) WOA trades on a (long/short) model only.
(3) WOA is fully automated.
(4) WOA is a grey box subset (narrowAi) technology.
(5) WOA has a preprogrammed set of fixed protocol caches.
(6) WOA can operate either on a leveraged or un-leveraged model.
(7) WOA is a non-seasonal trading model.
(8) WOA has iceberg order capability.
(9) WOA is managed and operated electronically through the
cloud from anywhere.
Leverage Ratio Gauge
WOA returns are compiled on full annual data, from 1st to last day of each year on compilation of previous trading records. For a full breakdown and explanation of what WOA can do for your portfolio, please contact Donald J. Beaudry Jr., Developer WOA.
WOA Ai ML levels data on version WOA 2.0 institutional model
WOA currently runs on 2 levels and the following annualized overall
gross returns can be anticipated. Returns are based on live and LSHB data going back multiple years.
Main difference in the range of returns on WOA, depends on if the account is running on a retail trading platform, or prime brokerage. Prime brokerage platforms allow for better connectivity and services, which enable overall potentially far better returns.
Leveraged (38 to 117% expected range of returns)
Gross maximum drawdown on WOA leveraged model should remain below 10% from the initial account starting balance at any given time.
Un-Leveraged (5 to 11% expected range of returns)
Gross maximum drawdown on WOA un-leveraged model should remain below 1% from the initial account starting balance at any given time.
WOA Ai ML System is a semi systematic model that is automated and operated by the financial engineers of WOA. There are periods over any 12 month cycle where WOA becomes more or less active, in terms of positions being executed. WOA generally has several times, where
the bulk of the positive returns occur during any 12 month cycle. Certain times during the year are very low to no trading volume activity on WOA, such as the months of Nov, Dec & Jan - tend to have little to no activity.
In WOA, there are winning and loosing positions and the account will fluctuate from time to time. Returns are best calculated and analyzed
over a years performance - WOA is possibly the financial markets most solid, overall profitable system.
For information on potential account opening and more in depth details, contact Donald J. Beaudry Jr. | Developer WOA.
Cutting edge technology & technologists
WOA is the vanguard pioneering and pushing the boundaries of new innovations, solutions and technologies in the financial markets. WOA Ai ML cloud based trading system can connect to client accounts world wide. Client accounts are all in a segregated fashion based in the clients own name. WOA is an automated systematic linear algorithm that is built out and developed by Donald J. Beaudry Jr. WOA screens out all human emotion in trading - WOA is not based on fundamental, technical or quantamental methodology, but on probability and statistics in the realm of game theory.
Can Machines Think? short answer - no & yes
Is WOA a Moonshot? short answer - yes & no
WOA, an automated Ai ML DL trading system, is in many ways able to think and operate on its own. WOA moves within a certain controlled channel. WOA thinks, operates and executes within a certain framework and does this faster than any human can. Key elements to ML are data analysis referred to as Deep Learning and the channel parameters in which WOA operates.
In trading in a narrow Ai model, a single objective is worked on to backtest in a computational format repeatedly to obtain the optimal parameters in which to go forward. This process, referred to as Deep Learning (DL), is the exploratory data analysis phase. It can at first appear to be straightforward and logical. The process in which the data results in an ML system are transferred, from conceptualisation
to implementation is very complex. To build out a system in which all relevant metrics are calculated, is extremely challenging.
Currently we believe trading is, and has been, analogous to throwing darts at a board. We don't throw darts at a board.
WOA trades, and takes positions, by utilizing advanced technologies (Ai/ML), which have proven remarkably reliable and prescient. Today, WOA knows a tremendous amount of risk can now be much more readily recognised and understood by employing these latest technologies. Considerable time and research developing and incorporating these technologies into our platform has been put forward. We are now confident that not only has risk been dramatically reduced but that reward has been greatly enhanced. WOA, we believe, is at the forefront of this trading revolution because of this.
What Question Should an Investor Always Ask?
Most Investors and Traders ask, how much can I make? The question should be, how much can I lose? What are the risks associated with making X amount? WOA is an asymmetrical risk adverse conservative platform. Preservation of capital is our utmost priority. Via machine learning algorithms WOA is able to take optimisation further than has ever been possible in trading.
There is this idea in markets called the efficient-market hypothesis, whereas it is assumed that all information is already backed into the markets - so therefore it would be impossible to beat the market on a consistent level - without new information entering into the market - we believe on many levels this is a really obtuse backwards thinking - as to what is going on - this is especially true when applying applications in Ai & ML in an episodic manner that can rewrite all the rules of predictive analytics.
What is Artificial Intelligence (Ai) and Machine Learning (ML)?
Humans are able through neurons in the brain to listen, hear, read, write, see, process, act, create and make mistakes.
Ai & ML at it's core are algorithms - the higher computational speed in which the codes are run on, the better the algorithms will function - this will determine the quality of the Ai, (the brain) - In Ai the
central processing system of the algorithm is referred to as Deep Learning (DL), (DL) is the process in which the algorithm attempts to learn - there are 2 main types of DL - CNN, (Convolutional Neural Networks) which is imagery processing and RNN, the recurring neural networks which is memory based on the data feed. There are 2 ways an Ai works, (1) is symbolic based (2) data based. If you want an Ai to run with a fix set of protocols that is supervised learning - if you want the algorithm to try to solve a problem with no constraints, that is unsupervised learning. Humans are limited by how much they can learn, process and the speed in which they can react. Ai and ML algorithms have none of these constraints. The limits of what Ai can do is limited to the quality of the build of the algorithms.
The financial engineers at WOA do all the back end work and monitor everything down stream
(in real time) on all client accounts.
Minimum Account Openings 2021
(Retail) For our retail brokerage accounts based in the USA and Hong Kong, minimum account opening USD 3M
(Prime) To open an account with our prime brokerage based in London minimum account opening
The Power of Ai & ML
Machine learning applications are absolutely paramount and an integral part of trading in todays financial markets. Without ML, we are unable to see the markets in a vast number of dimensions that otherwise, would not be clear. The catalyst that makes these types of algorithms possible and run are the advent of super computer capabilities, memory, processors, and the ability to process in parallel tandem with other components and computers.
Key turning points in the markets are always forming, the question is, can you see them? The answer is generally no. ML can identify in real time, trends, patterns and entry points what can not be put together by humans, in real time.
Ghost Protocol Accounts
WOA can be connected to client accounts world wide via the cloud - WOA's electronic connections leave no kernels or residue in the client account. The ability and capability to run WOA on client accounts is especially ideal for fund to funds and passive hedge funds > seeking complete anonymity & invisibility for their back end trading and operations. We refer to these types of account set ups as [Ghost Protocol Accounts] - as with everything we do at WOA, military grade execution, focus and build is applied to all we do.
The financial engineers of WOA are constantly upgrading, innovating and deploying to WOA new technologies, for what is at the theoretical ceiling of possible, in the financial markets.
Electronic trading is very complicated. It involves a lot of moving parts - (trade, order and execution management), connections, real time market data control, cloud, seamless execution capability, integration - back up, 911 response snap - When artificial intelligent machine learning algorithms are added, this adds an additional level of complexity which requires highly sophisticated financial engineers to run it - WOA is managed by the team of WOA around the clock to ensure everything runs smoothly on our client accounts, as error free as possible and overall profitable.
In cloud computing - systems architecture is one of the most important components - all relevant blocks, panels
and code need to be aligned and in sequence - without these measures errors will occur - the engineers at WOA are always on top of this.
Classical traders rarely if ever, make consistent long lasting winning trading decisions, in real time. Human emotions usually take over at some point, panic, irrational exuberance an the emotional rollercoaster all set in. In Ai Machine learning trading algorithms - the science of behavioural emotions, all are screened out. Computational computer
applications in trading do not have this issue.
In trading, it's very easy to look back on data and or a chart and make assumptions. In real time, things are a little different. It can never be stressed enough that RISK should always be at centre stage in trading. WOA is constantly through attrition, looking for reasons not to be in the market < hence the name War of Attrition >
training data >
WOA is calculating endlessly in a linear regression model and making deduction of probability. When weighted enough on one side - a position in the markets is entered into - doing so with the highest degree of clustering probability in the positions favour.
Genius of Optimization
We are constantly trying to further optimize WOA's performance and down side risk potential. Creative thinking and new ideas unfortunately can not be rushed - but generally come in waves. With the use of
machine learning applications we are able to constantly push the limit of of overall profitability of our trading models. In any 12 month cycle in the markets, generally all seasons occur -
- bull and bear market swings, breaking news, unexpected geo macro events - static indecisions and the constant always (calm before the volatility) that always builds. These factors and many more - always have to be encompassed in our models and put under the microscope - which we understand all too well - how important pre-market moves are always a precursor > to what is on the eventual horizon.
The ability to calculate these scenarios and anomalies in the markets are, what makes up the genius of optimization in, WOA.
WOA is a highly complex system, like a puzzle, that we try to simplify. WOA is constantly pushing the potential of what can be created on Wall Street trading in the currency markets. WOA offers a multitude of value added benefits of deploying WOA to generate <Alpha on your account