MENU
Go to the list of all blogs
Vitalii Liubimov's Avatar
published in Blogs
Sep 14, 2020
After a Week of Selling, Winning and Losing Industries Emerge

After a Week of Selling, Winning and Losing Industries Emerge

Since the low in March, the overall market has gone through two pretty distinct rallies with brief interruptions in June and now again at the beginning of September. Using the S&P 500 as a barometer for the overall market, we see that the index was up 44.5% from March 23 through June 8. From June 8 through June 26, the index fell 7%. It’s hard to call a 7% decline a pullback, but the period on the chart looks more like a short-term disruption.

The second rally took place from June 26 through September 2 and it saw the index gain 19%. From September 2 through September 10, the index fell 6.75%. It isn’t clear just yet whether the current disruption in the rally is over yet or if it is the start of something bigger.

It’s unclear whether the current disruption will last longer or become something more. But I wanted to find out which sectors and industries have performed the best during the rallies and during the disruptions.

I started with the current disruption and went to Tickeron’s Group Trends Screener to find out which groups have been performing the best and the worst over the last week. On the positive side, four of the top five groups are in the healthcare sector. The Orphan group was the top performer and it refers to rare diseases, and companies in this category are biotech entities developing treatments for those diseases. The other healthcare oriented groups are Central Nervous System, Immunotherapy, and Novel Medical. All of the groups gained 4% or more as the overall market fell.

As for the downside, all 10 of the worst performing groups were associated with the oil and gas industries—the energy sector. Everything from shale, offshore drilling, oil field services were on the list of worst performers. The losses ranged from 8.36% to 11.75%.  

After looking at the performances from the different groups over the past week, I went back to look at how the different sectors performed during the different phases. I broke them down in the table below with the performances in the first rally, the first consolidation, and then the second rally. The energy sector was far and away the top performer as it rebounded from the temporary negative oil prices and the sector almost doubled from March 23 through June 8.

I used the Energy Select Sector SPDR (XLE) to represent the overall sector. Since June 8, the energy sector has fallen 29.6% and that is by far the worst performance of the bunch. We see the sector also took the worst hit during the first consolidation.

The tech sector, as represented by the Technology Select Sector SPDR (XLK), held up the best during the first consolidation and it was the top performer during the second rally with a gain of 25.1%. So far, in the current pullback, the tech sector has been the worst performer and is down over 10%.

To summarize what has happened so far, the top performing sector in the first rally became the worst performer in the first disruption. The top performer during the first disruption continued on to be the top performing sector in the second rally. Now it has been the worst performer in the second disruption. This presents an interesting dilemma and it has me wondering what the results will be once this disruption is over.

So far during the current disruption, the two sectors that have held up the best are materials and utilities. Will one of those two sectors be the top performer when the next rally happens? It is worth keeping an eye on.

Related Ticker: XLE

XLE's RSI Indicator peaks and leaves overbought zone

The 10-day RSI Indicator for XLE moved out of overbought territory on March 04, 2026. This could be a sign that the stock is shifting from an upward trend to a downward trend. Traders may want to look at selling the stock or buying put options. Tickeron's A.I.dvisor looked at 43 instances where the indicator moved out of the overbought zone. In of the 43 cases the stock moved lower in the days that followed. This puts the odds of a move down at .

Price Prediction Chart

Technical Analysis (Indicators)

Bearish Trend Analysis

The Stochastic Oscillator may be shifting from an upward trend to a downward trend. In of 69 cases where XLE's Stochastic Oscillator exited the overbought zone, the price fell further within the following month. The odds of a continued downward trend are .

The Moving Average Convergence Divergence Histogram (MACD) for XLE turned negative on February 24, 2026. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 50 similar instances when the indicator turned negative. In of the 50 cases the stock turned lower in the days that followed. This puts the odds of success at .

Following a 3-day decline, the stock is projected to fall further. Considering past instances where XLE declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .

XLE broke above its upper Bollinger Band on March 02, 2026. This could be a sign that the stock is set to drop as the stock moves back below the upper band and toward the middle band. You may want to consider selling the stock or exploring put options.

Bullish Trend Analysis

Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where XLE advanced for three days, in of 384 cases, the price rose further within the following month. The odds of a continued upward trend are .

The Aroon Indicator entered an Uptrend today. In of 327 cases where XLE Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are .

Notable companies

The most notable companies in this group are Exxon Mobil Corp (NYSE:XOM), Chevron Corp (NYSE:CVX), ConocoPhillips (NYSE:COP), SLB Limited (NYSE:SLB), Kinder Morgan (NYSE:KMI), EOG Resources (NYSE:EOG), Valero Energy Corp (NYSE:VLO), Phillips 66 (NYSE:PSX), MARATHON PETROLEUM Corp (NYSE:MPC), Occidental Petroleum Corp (NYSE:OXY).

Industry description

The investment seeks to provide investment results that, before expenses, correspond generally to the price and yield performance of publicly traded equity securities of companies in the Energy Select Sector Index. In seeking to track the performance of the index, the fund employs a replication strategy. It generally invests substantially all, but at least 95%, of its total assets in the securities comprising the index. The index includes companies that have been identified as Energy companies by the GICS®, including securities of companies from the following industries: oil, gas and consumable fuels; and energy equipment and services. It is non-diversified.

Market Cap

The average market capitalization across the State Street®EngySelSectSPDR®ETF ETF is 98.08B. The market cap for tickers in the group ranges from 11.24B to 628.18B. XOM holds the highest valuation in this group at 628.18B. The lowest valued company is APA at 11.24B.

High and low price notable news

The average weekly price growth across all stocks in the State Street®EngySelSectSPDR®ETF ETF was 1%. For the same ETF, the average monthly price growth was 7%, and the average quarterly price growth was 33%. MPC experienced the highest price growth at 12%, while SLB experienced the biggest fall at -9%.

Volume

The average weekly volume growth across all stocks in the State Street®EngySelSectSPDR®ETF ETF was -83%. For the same stocks of the ETF, the average monthly volume growth was -99% and the average quarterly volume growth was -98%

Fundamental Analysis Ratings

The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows

Valuation Rating: 74
P/E Growth Rating: 37
Price Growth Rating: 18
SMR Rating: 58
Profit Risk Rating: 30
Seasonality Score: -23 (-100 ... +100)
View a ticker or compare two or three
XLE
Daily Signal:
Gain/Loss:
Interact to see
Advertisement
A.I.Advisor
published price charts
These past five trading days, the ETF lost 0.00% with an average daily volume of 0 shares traded.The ETF tracked a drawdown of 0% for this period.
A.I. Advisor
published General Information

General Information

Category Energy

Profile
Fundamentals
Details
Category
Equity Energy
Address
One Lincoln Street Cph0326Boston
Phone
N/A
Web
www.spdrs.com
Interact to see
Advertisement
Tickeron, a leader in AI-driven financial tools, today announced exceptional results from its AI Trading Agents, showcasing annualized returns ranging from 102% to 210% across various high-liquidity stocks and strategies.
#artificial_intelligence
Tickeron, a leader in AI-driven financial technology, today announced groundbreaking performance from its suite of AI Trading Agents. Powered by Financial Learning Models (FLMs), these agents have demonstrated exceptional returns, with top performers achieving annualized gains of up to 83% over periods ranging from 127 to 390 days.
#artificial_intelligence
Tickeron, a leader in AI-driven financial tools, today unveils its Top 10 Day Traders: AI Trading Robots, showcasing exceptional performance in volatile markets. Powered by advanced Financial Learning Models (FLMs), these robots integrate AI with technical analysis to deliver real-time insights for day traders.
#artificial_intelligence
Tickeron, a leader in AI-driven financial solutions, announces groundbreaking performance results for its Crypto AI Trading Robots, achieving annualized returns of up to 85% for ETH.X, 56% for OM.X, and 49% for XRP.X in 2025, powered by advanced Financial Learning Models (FLMs).
#artificial_intelligence
Tickeron, a leader in AI-driven financial technology, today announced groundbreaking results from its AI Trading Agents, showcasing annualized returns as high as +84% across various stocks and portfolios.
#artificial_intelligence
Tickeron, a leader in AI-driven financial technology, today announced the launch of its advanced AI Trading Agents. These innovative brokerage agents provide real-time trading signals powered by machine learning, utilizing tick-level brokerage data and precise trade amounts across 5-, 15-, and 60-minute timeframes.
#artificial_intelligence
Tickeron, a leading innovator in AI-driven financial technology, today announced groundbreaking results from its AI Trading Agents, showcasing exceptional performance in real-time trading signals powered by machine learning. Utilizing tick-level brokerage data and precise trade amounts, these agents operate on 5-, 15-, and 60-minute timeframes to provide traders with actionable insights in volatile markets.
#artificial_intelligence
Tickeron, a leading innovator in AI-driven financial technology, today announced the launch of its advanced AI Trading Agents. These cutting-edge brokerage agents deliver real-time trading signals powered by machine learning, leveraging tick-level brokerage data and precise trade amounts across 5-, 15-, and 60-minute timeframes. Designed to empower traders with superior insights, the agents have demonstrated exceptional performance, including annualized returns as high as 82%.
#artificial_intelligence
The financial markets have undergone a profound transformation in recent years, driven by the integration of artificial intelligence (AI) into trading strategies. As a financial analyst, writer, and AI specialist, one observes that AI trading agents represent a pinnacle of this evolution, blending machine learning algorithms with real-time data analysis to execute trades with unprecedented precision.
#artificial_intelligence
AI trading represents a revolutionary shift in how financial markets operate, combining artificial intelligence, machine learning, and sophisticated algorithmic trading strategies to execute trades with unprecedented precision and speed.
#artificial_intelligence
Tickeron, a leader in AI-driven financial tools, today announced exceptional trading results from its AI Trading Agent focused on Hubbell Incorporated (HUBB). The agent, operating on a 5-minute timeframe, delivered a +105% annualized return, starting from an initial balance of $100,000.
#artificial_intelligence
Tickeron, a leader in AI-driven financial technology, today announced the launch of its advanced AI Trading Agents, delivering real-time trading signals and sophisticated money management for retail and institutional traders. Powered by Financial Learning Models (FLMs) and machine learning, these agents operate across 5-, 15-, and 60-minute timeframes, achieving annualized returns of up to 145% on select portfolios.
#artificial_intelligence
Tickeron, a leading innovator in AI-driven financial technology, today announced the exceptional performance of its AI Trading Agents, achieving annualized returns of up to 162%, profitable trade percentages as high as 90.51%, and a robust profit factor across multiple assets.
#artificial_intelligence
Tickeron, a leading innovator in AI-driven financial technology, proudly announces the exceptional performance of its AI Trading Agents, delivering annualized returns of up to 188% on a 5-minute timeframe.
#artificial_intelligence
Tickeron, a leader in AI-driven financial tools, today announced the launch of its advanced Pattern Search Engine (PSE), a revolutionary platform that scans 39 distinct trading patterns across stocks, penny stocks, ETFs, crypto, and forex.
#artificial_intelligence
AI trading bots represent the pinnacle of financial technology innovation, transforming how traders and investors interact with global markets.
#artificial_intelligence
As a financial analyst, writer, and AI specialist, I've always pushed for innovations that merge artificial intelligence with actionable trading tools. In the fast-paced world of modern markets, where volatility demands quick decisions, Tickeron's new "My Trades Aggregator (from AI Robots Followed)" aggregator stands out as a revolutionary feature.
#artificial_intelligence#trading
Tickeron, a leading provider of AI-driven trading solutions, is thrilled to announce the exceptional performance of its AI Trading Agents, delivering outstanding results across multiple high-profile stocks.
#artificial_intelligence
Tickeron, a leader in AI-driven financial technologies, today announced groundbreaking results from its AI Crypto Trading Virtual Agents. These innovative tools provide real-time trading signals, integrated money management, and customizable balances, all powered by advanced machine learning algorithms operating on 5-, 15-, and 60-minute timeframes.
#artificial_intelligence
Tickeron, a leading innovator in AI-driven financial technologies, today announced the launch of its advanced AI Trading Brokerage Agents. These cutting-edge tools deliver real-time trading signals powered by machine learning, utilizing tick-level brokerage data and precise trade amounts across 5-, 15-, and 60-minute timeframes.
#artificial_intelligence