85%+- Returns: Real-World Trade Performance and Why ROI Is Expected to Grow.

December 29, 2019 2:35 PM EST EPIC v3 Oil Trading Software Update.

Draft white paper outlining key reasons EPIC v3 oil futures machine trading software outperforms conventional trading methods:

  1. 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.
  2. 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, each with over 20 years of experience. The oil trading 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.
  3. Conventional Charting. The software includes conventional charting structures on all time-frames, also back-tested sixty months.
  4. Common Trade Set-Ups. Included in the software are common trade set-ups that oil day traders implement. This is dynamic and additions are made regularly to the software code reflecting current structured trade set-ups.
  5. 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). EPIC IDENT™ 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.
  6. 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.
  7. 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.

Introduction.

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 85% per year (and has been as high as 140%) – based on real world performance (audited trades available) and is expected to increase over time. The current period of time spans approximately six months and includes hundreds of trade executions (nearing thousands). 

For December 27, 2019 Profit & Loss Daily =$331. YTD +$40,275. Projected $84,973 or 85% 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

EPIC, oil, algorithm, returns

For December 27, 2019 Profit & Loss Daily =$331. YTD +$40,275. Projected $84,973 or 85% Per Annum. EPIC v3 Oil Machine Trade 100k Sample Account #OOTT $CL_F $USOIL $WTI $USO #oiltradingroom #oiltradealerts

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

Oil, trading, returns

Oct 4, 2019 Profit & Loss Daily +$1,838. YTD +$34,218. Projected $140,331 140% Per Annum. EPIC v3 Oil Machine Trade #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, however, most recently considerable advancements in the software should limit the draw-down with smaller accounts considerably.

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.

Draw-down Protocol.

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. 

Real-World Trader / Investor Use.

In real-world examples the EPIC v3 oil trading software is being used daily by oil traders as an additional indicator and / or as an auto  trading mechanism.

Examples include the Compound Trading Group live oil trading room (live broadcast of trades via voice and charts), live alert service via Twitter and Discord private server feeds and regular Oil Trading Reports that include algorithmic and conventional chart structures and guidance.

Additionally, SOVORON™ uses our data flow to integrate to their platform. SOVORON™ ‘Algorithmic machine trading of your personal Crude Oil Futures exchange account’. See www.sovoron.com for information. 

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.

Documentation.

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.

Conclusion.

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 refined / successful – 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” machine trade 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.

Business Inquiries.

For information about oil trade alerts, oil trading room and oil trade reporting contact Compound Trading Group at compoundtradingofficial@gmail.com.

For information about automated machine trading platforms contact our agent representative Richard Regan as follows:

CONTACT US
Email richr@sovoron.com
Phone 1-849-861-0697

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document revised September 24, 2019 9:22 PM EST

document revised October 6, 2019 2:00 PM EST

document revised December 29, 2019 2:35 PM EST

Article Topics; Crude, Oil, Trading, Algorithm, Machine Learning, DayTrading, Futures, EPIC, Trade Alerts, Oil Trading Room, $CL_F $USO


Trading Strategy for US Dollar Trade Alert Issued This Morning in Premarket for the Swing Trade Positioning in to Week of August 5, 2019 Time Cycle.

This a very important trading opportunity not just for the US Dollar, but many other instruments of trade on the equity, commodity and currency markets are affected by the price of the US Dollar. Below is your complete trading strategy for the time cycle peak coming in the Dollar.

On public facing Twitter feeds the alert reads;

“Member Alert: Large US Dollar Index (DXY) time cycle week of Aug 5, 2019 (extends 7 trading days either side). Trade Set Up detail to your email in today’s premarket. #timecycles $DXY $UUP #USD #SwingTrading”

On the private member alert feed the alert reads;

“US Dollar Index (DXY) Long trade likely to turn short other side of Aug 5 week, watch for report with all signals $DXY $UUP #swingtrade #USD”

https://twitter.com/SwingAlerts_CT/status/1156872463273402369

Below is the chart and link for the US Dollar (DXY) time cycle alert;

US Dollar Index (DXY) Long trade likely to turn short other side of Aug 5 week, watch for report with all signals $DXY $UUP #swingtrade #USD

https://www.tradingview.com/chart/DXY/2qXxfABT-US-Dollar-Index-DXY-Long-trade-likely-to-turn-short-other-side/

US Dollar Index (DXY) Long trade likely to turn short other side of Aug 5 week, watch for report with all signals $DXY $UUP #swingtrade #USD

How to Trade the US Dollar (DXY) Time Cycle Peak.

The trading strategy for the US Dollar Index is simple if you use the model chart provided above.

In early 2018 we had alerted that the US Dollar was divergent to the downside and that a run in the dollar was imminent. The US Dollar traded up since that time from sub 90.00 to currently trading at 99.91.

When the US Dollar traded higher (after our alerts) it then reached the area of the main pivot (shown on chart above with horizontal red dotted line). The Dollar then traded around that pivot for some time. The trading pivot is important in your trading plan.

Simple Chart Symmetry and Price Targeting (price extensions) for this time cycle says to measure from the recent lows (trading just under 90.00) to the pivot area of 96.64 (about 7.00) and add the 7.00 approximately to 96.64 and you get about 103.50 ish. There are different ways to measure this – you can take the hard and fast support and resistance lines on the chart and measure from there or use exactly what price action said. In other words, the chart says support was 90.00, but the Dollar traded under 90.00 before it turned back up and got bullish. Depending on how you use those numbers this then determines your extension to the top. Lets call it 103.50 and use that for this example for your trading strategy.

The charting says the time cycle peak is the weak of Aug 5, 2019. This is a large time cycle so you have to allow for a week or so either side of the weak of the peak. Coming out of the other side of that peak the trade action (trading trajectory) will be key. You will either see a continuation of the current bullish trend or a turn to the bearish trade side. Probability says the price of the US Dollar will turn down. However, this is not always the case.

The chart says that 102.92 is your peak resistance price, but this can be extended up some for two reasons. One reason is the price extension you may measure from the previous lows, in this instance you would see the Dollar trade in to the 103s or 104s before turning. The other reason for a price higher than 102.92 is a simple over trade extension that happens at large time cycle tops and bottoms in trade – an over exaggerated move.

If the trade trajectory continues bullish then you simply extend the price up one structure above the current area of trade (see chart below). This is an unlikely scenario but it may occur. This bullish run would then peak in to the week of March 30, 2020 (this can change as we come near to the date, watch for charting updates). The price target in this scenario is 109.30 for March 30, 2020.

US Dollar Index (DXY) Bullish trading strategy for 109s in to Mar 30 2020 $DXY $UUP #swingtrade #USD

https://www.tradingview.com/chart/DXY/FVwXgu9P-US-Dollar-Index-DXY-Bullish-trading-strategy-for-109s-in-to-Ma/

US Dollar, Swing trade, Strategy

US Dollar Index (DXY) Bullish trading strategy for 109s in to Mar 30 2020 $DXY $UUP #swingtrade #USD

The Bear scenario to short the US Dollar is more likely, below is your trading strategy.

As noted above, simply wait for the week of August 5, 2019 and watch trade the week on the other side. Watch the key resistance areas on the chart. Early on in to the time cycle start to size your trade and continue sizing the trade (in my case it will be short $UUP likely) and then start to take profit at each support on the way back down as the US Dollar trades lower in to March 30 of 2020.

It is important to get your full size in early enough but not too early so you get caught on the wrong side.

If you need help with the trade let me know.

Watch the chart resistance close as we trade the markets over the coming few weeks, watch the apex of the quad the US Dollar is trading in currently on the chart. Watch for the inflection points. You can also bring your time down to a daily or 4 hour chart to get a better feel for what trade is doing.

Also, be sure to watch our trade alerts on our alert feeds and in live trading room. If you need some coaching go to our website and register for a minimum 3 hours.

Email me as needed compoundtradingofficial@gmail.com.

Thanks,

Curt

Other Reading:

US Dollar Index on Market Watch https://www.marketwatch.com/investing/index/dxy

Dollar hits two-year high after Federal Reserve cuts interest rates by a quarter point as expected https://cnb.cx/2MsfQn1

Recent Swing Trade and Day Trading Reports (charts can be brought down to Day Trading time frame):

Protected: Swing Trading Strategies (Earnings) Part 4 : Premium | $NOV, $TREX, $CHEGG, $TSLA, $AMD, $USO …

Protected: Swing Trading Strategies (Earnings) Part 3 : Premium | $AMZN, $GOOGL, $TWTR, $FB, $JBLU, $OAK, $INTC, $TSLA, $AMD, $SQ …

Protected: Swing Trading Strategies (Earnings) Part 2 : Premium July 17 | FACEBOOK (FB) VS AMAZON (AMZN) …

Protected: S&P 500 Trading Strategies. Charting, Time Cycles, Price Targets, Algorithmic Model (SPY) | Premium, July 15 $SPY $ES_F $SPXL, $SPXS

Protected: Volatility (VIX) Trading Strategies Report. Premium July 15 $VIX $TVIX $UVXY $VXX #TimeCycles #PriceTargets

Protected: Swing Trading Strategies (Earnings) Part 1 : Premium July 14 | $PXD $TLRY $TSLA $EEM $AGN $AMD $INTC $XOP $MGI $BOX …

Protected: Swing Trading Strategies | SP500 $SPY Volatility $VIX Gold $GLD Silver $SLV Bitcoin $BTC Oil $USO US Dollar $DXY | July 7 Premium #timecycles

Protected: Daytrading Bitcoin (BTC) and Intra-Week Short Term Swing Trades July 7 | Premium $BTC $BTC.X $XBTUSD $XBT_F

Protected: Swing Trading Strategies, Charts, Alerts w/ Video | Premium $PXD $TLRY $TSLA $EEM $AGN $AMD $INTC $XOP $MGI $BOX $FB $PLUG $BTC $LYFT $IOTS $SQ $STNE $TEUM $AU …

Master Trading Profit & Loss Statement (Most Recent – Updated Regularly – Check Blog for Updates):

Trading Profit & Loss Report | Trade Alerts Nov 2016 – June 26, 2019 Day Trades, Swing Trades, Oil, BTC Etc.

Recent Daily Trading Profit & Loss Reports:

Trading Profit & Loss Report (Trades, Alerts) July 10 “MY ANGRY RANT – WHY MOST TRADERS LOSE”, $AMD, $CL_F, $USO, $BTC, $BTC.X, $XBT_F #OOTT

Trading Profit & Loss Report (Trades, Alerts) for July 8 $AMD, $BTC, $XBT_F, $CL_F, $USO

Trading Profit & Loss Report (Trades, Alerts) for July 3 $AMD, $BTC, $XBT_F, $WTI, $CL_F, $USO

Daily Trading Profit & Loss (Alerts) Report: July 2, 2019 $AMD, $BTC, $XBT_F, $WTI, $CL_F, $USO

Daily Trading Profit & Loss (Alerts) Report: July 1, 2019 $AMD, $KOOL, $BTC, $XBT_F, $WTI, $CL_F, $USO

Recent Premarket Notes (published as time allows, what we’re up to with our trading):

Premarket Notes July 31, 2019: FOMC, EIA, #OOTT, $USO, $NOV, $TREX, $CHEGG, $TSLA, $AMD …

Premarket Trade Report July 12 | Notes, Alerts, Watch List, Reporting Etc $SGBX, $AMD, $USO, $GLD, $SLV, $SPY, $BTC.X, $VIX, $DXY, #OOTT

Protected: Premarket Watch List July 9 $CHEK, $OGI, $AZRX, $AMRH, $RHT, $ACIA, $SQ, $AMD, $USO, $GLD, $SLV, $SPY, $BTC.X, $VIX, $DXY

Premarket Watch List July 8 $SGMO, $AMD, $OASM, $AYTU, $CBIO, $SYMC, $ORN, $USO, $GLD, $SLV, $SPY, $BTC.X, $VIX, $DXY

Premarket Notes: Swing Updates, New BTC Platform w/Machine Trade, Oil Machine Trade Completion $USOIL $WTI $CL_F $BTC $BTC_F $XBT_F #premarket

Premarket Note: Equities, Oil Levels to Watch, Swing Trades/Alerts, P&Ls, Webinars: Oil, Swing Trading, Bitcoin | $USOIL $WTI #OOTT $BTC #premarket

Company News:

SOVORON™ Selects Compound Trading Group Machine Learning Data | Media Release

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Article Topics: US Dollar, USD, Trading, Strategy, Charts, Algorithm, Currencies, Alerts, $DXY, Swing Trade, $UUP, time cycles

 

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