140%+- Returns: Real-World Trade Performance and Why ROI Is Expected to Grow.
October 6, 2019 2:00 PM EST Update.
Draft white paper outlining key reasons EPIC v3 oil futures machine trading software outperforms conventional trading methods:
- Lightening Fast Decisions. EPIC crude oil trading software executes trades to over 8700 weighted decisions instantly. The instructions provided within the architecture is growing daily. A human trader cannot make decisions as quickly, cannot process the data required for most intelligent trading probabilities and cannot execute trades as precisely.
- Algorithmic Chart Models. The EPIC software includes over thirty proprietary algorithmic chart models and the catalogue is growing. The algorithmic models have been designed, tested and refined in real world trade for over 3 years by a team of day traders all with over 20 years of experience each. The models represent all time-frames from 15 second to monthly time-frames of trade. The algorithmic models have been back-tested to sixty months historically.
- Conventional Charting. The software includes conventional charting structures on all time-frames also back-tested sixty months.
- Conventional Trade Set-Ups. Included in the software are common trade set-ups that oil day traders use.
- Order Flow. EPIC IDENT™ is data-driven order flow intelligence in real-time to achieve best outcomes.The software includes and executes to a proprietary order flow identification system that tracks behavior (specifically isolating other market machine liquidity) and weighs identified entities and historical trade patterns to its trade decisions (instructions). It increases its intelligence as it gathers data intra-day specific to liquidity flow, historical patterns, time of day, volatility, various preferences, latency, rejects and more. The method is similar to back-testing charting, however, the process is real-time. In short the software is looking for “fingerprints” within market liquidity. We cannot back-test 60 months as with charting but back-testing from date of software inception is possible.
- Time Cycles. Time cycles are within all algorithmic and conventional trading model structures, order flow also has identified time cycles and other time cycle events such as weekly reporting in oil markets such as API, EIA and rig counts. Additionally there are time-of day market time cycles around the world. Time-cycles are included in the software architecture.
- ROI Trajectory “Game”. The software has a “game” element in that it is designed to continue its most recent ROI trajectory (or return to its trajectory of ROI should it have a draw-down period). In other words, if the trajectory of ROI is for example 100% and it draws-down to 80% it then will “weigh” trade decisions more to the most probable trade set-ups until the ROI trajectory is returned. It also will push its decision “weight” to exceed the current ROI trajectory to establish a better ROI to which it is then “obligated” to maintain and correct to, hence the expectation that the ROI will continue to improve over time. This is the “machine learning” component of development. We are finding that the software is discovering increasingly more creative ways to “game” the ROI return trajectory. This Sept 4, 2019 document details an insider look at this topic within development. Edited Sept 5, Draw-Down Oil Daytrading Session: Question and Answer Review | EPIC V3 Crude Oil Machine Trading Software.
Combined, these advantages enable the EPIC v3 Crude Oil Trading software to outperform conventional trading methods.
The world of public market trade is rapidly changing. It is estimated (depending on source) that over 80% of crude oil futures are not traded by humans and are now traded by machine.
Machine trade may be simple bot style software, high-frequency software or more sophisticated architecture as with the EPIC v3 class of algorithm.
Our team commenced the oil trading software development journey four years ago with algorithmic chart model development. From day one we employed computer scientists to work with us on a daily basis to build software emulating our trading methods.
Over time the software started to win more trades than our traders and today we rely almost solely on the software to execute trades. We simply “tweak” the software at each trade sequence to improve performance.
EPIC v3 software is our 3rd generation oil trading software. EPIC v1 tested returns at about 20% per annum, EPIC v2 at 40% per annum and EPIC v4 architecture was too aggressive for our risk threshold. We settled on EPIC v3 about ten weeks ago and have been refining its code trade by trade since.
The current EPIC v3 win-rate consistently comes in at +-90% per trade sequence (variable by +-7%).
The current EPIC return is projected at 140% per year – based on real world performance (audited trades available) and is expected to increase over time. The current period of time spans over 3 months and includes hundreds of trade executions.
For October 4, 2019 Profit & Loss Daily +$1,838. YTD +$34,218. Projected $140,331 or 140% Per Annum. EPIC v3 Oil Machine Trade 100k Sample Account (live video, time stamped alerts, v3 audited P&L available) #OOTT $CL_F $USOIL $WTI $USO #oiltradingroom #oiltradealerts
Account Size – ROI and Draw-Down Volatility.
The smaller the account size traded the more difficult it is for the software to limit risk to down-side and provide optimum returns.
The software is designed to trade within a sequence of trade within structures or set-ups. As the oil market price changes, the software trading logic uses all the different data to update the decision tree utilizing the instruction rule-set.
You can imagine this as a dot plot process similar to the game “go” – not exactly, but the concept helps to visualize how the software plots a sequence plan for trade.
The “ebb and flow” of regular oil market trade allows opportunity for the software to plot a plan of trade within a sequence, the larger the account the more dots can be plotted (trades can be “bite sized” entries within an “ebb and flow”).
The sample account size for the purpose of this document is at the smallest range, being 100,000.00. A 1,000,000.00 account would expect approximately half the volatility / draw-down exposure and up to 50% more return. A 10,000,000.00 account would be considerably more stable to draw-down risk and potential returns and so on.
During any particular 24 hour trading period the EPIC v3 software protocol (as of October 6, 2019 updates) expects on average draw-down no more than as follows;
- Account size and average 24 hour drawdown 10,000,000.00 = 1.5 %, 1,000,000.00 = 3%, 100,000.00 = 6%, 50,000.00 = 12%, 25,000.00 = 24%.
Hard stop architecture is also available, however, the annual expectation of returns would be significantly less than represented in the current real-world trade example above.
Architecture of API Trade.
EPIC v3 software is designed to be deployed remotely – accessing an account and executing trades. This provides the account holder with ultimate control. The account holder grants the software access and the software executes machine trades to the account. The account holder can turn on or off access at any time. Architecture provides opportunity for decentralized platform integration.
Video. Our team traders and engineers have live video recording of the trading sessions with EPIC v3 software within a trading room environment.
Trader and Developer Repository. We provide guidance to our subscriber (paywall) clients in a Discord private server (charts and trade set-up explanations) in a real-time environment. The private server acts as a repository for our developers and our trading service (paywall) clients.
Live Trade Alerts. All trades have been broadcast over mic in a live trading room (recorded as mentioned above) and most have been alerted by way of text instruction to the Discord private server and/or private Twitter feed for time-stamped evidence.
Broker Accounts. The EPIC v3 trades are real-world trades and as such broker profit and loss statements can be made available.
Client Reporting. We provide regular reporting to our trading service clients (paywall) that explains the process of execution by the software. Examples of the guidance provided, trade alerts issued, Discord private server discussions and live trading room video can be found in this document (which is one of many published) Daytrading Crude Oil in Oil Trading Room: 6 Trades, 6 Wins. How We Did It | Alerts, Strategies, Video, Charts. This document provides a standard update document provided to our clients Protected: Crude Oil Trading Report Strategies | Alerts, Signals, Charts, Algorithms, Trading Room, P&L | Premium | Sept 2, 2019 use password CLTRADER.
This paper outlines the opportunity that change in machine trade within global finance markets presents.
Competitors within the machine trade industry are becoming more and more successful as with all industries – the best in class are assumed to be winning a larger portion of proceeds.
The most significant immediate challenge developers face in machine trade within financial markets is building a product that can win within a prescribed threshold of stability limiting down-side and yet over-perform conventional trading methods.
Soon thereafter the challenge becomes competing against “like-kind” peers and being best in class.
It is our expectation that fewer and fewer competitors will achieve more of the proceeds (as a whole of trade in public markets) at an exponential rate, which does provide urgency to development and deployment.
The EPIC v3 trading software achieves consistent, predictable and very adaptable architecture that provides exceptional ROI potential.
For more information about our machine trading platform email email@example.com or contact our agent representative Richard Regan as follows:
For October 4, 2019 Profit & Loss Daily +$1,838. YTD +$34,218. Projected $140,331 or 140% Per Annum. EPIC v3 Oil Machine Trade 100k Sample Account (live video, time stamped alerts, v3 audited P&L available) #OOTT $CL_F $USOIL $WTI $USO #oiltradingroom #oiltradealerts pic.twitter.com/fzgWQhPcQ2
— EPIC Crude Oil Algorithm (@EPICtheAlgo) October 6, 2019
document revised September 24, 2019 9:22 PM EST
document revised October 6, 2019 2:00 PM EST