Brickell Quant Signals Outperforms both SPX & Oil in 2020
Brickell SPX quant model is flat for 2020, while the SPX is down -20%, performance below.
Brickell’s Oil quant model has gained 75% in 2020, while oil is down -67%, see performance below.
The Brickell SPX & Oil quant models are programmed using three inputs with the objective of outperforming the S&P and Oil, during volatile and/or zig-zag type of market environments, such as in 2011, 2015, 2018, and 2020.
The models generate a daily directional signal, either LONG or SHORT, at the end of each trading day. The signal is then sent to subscribers by email between 4pm and 8pm, during trading days.
Although subscribers receive a daily signal, the signals are NOT day trading signals; they don’t flip-flop. Instead, the signals have been programmed to capture medium-to-longer term trends.
Please see below for Quantitative Signals – April 1,2020:
SPX – SHORT
OIL – SHORT
Isaac Gilinski – Brickell Analytics, LLC
Isaac Gilinski is the Founder and Head of Research for Brickell Analytics LLC, a global-macro research service based on contrarian analysis. The firm, established in 2011, has programmed two quantitative models with a nine-year track record, one on the S&P 500 and the other one on oil. Our second service is comprised of technical commentary that uses the handwriting technique on charts to forecast the direction of the macro markets. The forecast combines Elliott waves, sentiment, Fibonacci retracements and extensions, and proprietary tools (see theories & indicators) to generate price targets. Brickell Analytics’ research has been used and is used by hedge fund managers, investors, family offices, mutual funds, registered reps, and registered investment advisers.
Brickell Analytics’ trade ideas are executed in a fund or in SMAs at Broadmark Asset Management LLC, a top-down macro manager that rejects traditional buy and hold investing. Since 1999, Broadmark has tactically adjusted equity market exposure avoiding the two major drawdowns.
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The information contained herein is not, and should not be construed as, an offer to sell or the solicitation of an offer to buy any securities, including, without limitation, in this research-based strategy. In addition, nothing contained herein is intended to be, nor shall it be construed as, investment advice, nor is it to be relied upon in making any investment or other decision.
The performance of the Brickell quant models discussed herein is a hypothetical research-based performance (based upon signals generated by Brickell in its research reports over the time periods indicated) and not performance on actual monies traded. Brickell signals may or may not be used in all or part of the trading strategy of recipients of the Brickell signals in the discretion of the recipient. The hypothetical performance is calculated by dividing the opening price of day two by the opening price of day one. The performance of the Brickell quant models does not take into account any fees, such as performance, transaction, or management fees, which, when deducted, will materially lower performance.
Hypothetical research-based 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 research-based performance results and the actual results subsequently achieved by any particular trading program.
Research-based signals are hypothetical, do not reflect actual trading results, and do not involve financial risk, and no research-based trading record can completely account for the impact of financial risk in 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 research-based performance results and all of which can adversely affect actual trading results.
Comparable companies, strategies, portfolios and indices may be included in this report only as a context reflecting general market results during the depicted period or as of the specified date. The comparison of any company, strategy, portfolio or index to a single other portfolio may be inappropriate because the portfolio’s assets, strategies and level of risk may vary materially from the comparable company, strategy, portfolio or index as a whole. This report describes hypothetical investments solely for illustrative purposes, to which Brickell is applying its global macro research and analysis. In addition, this report contains a number of hypothetical assumptions, including, without limitation, the absence of transaction costs, margin interest, taxes and other incidental expenses. This report also does not take into account cash dividends, stock splits, rights, warrants and other corporate actions. Additionally, this report does not consider liquidity, market, or other trading issues, nor asset allocation, investment strategy, fees, or suitability concerns. Principals of Brickell may buy or sell some, all or none of the investments included in this report for their personal trading accounts or for the trading accounts of others.
Past results are not necessarily indicative of future results. All investments involve risk and potential loss of principal. Futures trading is not suitable for all investors, and involves the risk of loss. It should not be assumed that future investors will experience returns that are comparable to those of the research discussed herein.
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