Go to the list of all blogs
Sergey Savastiouk's Avatar
published in Blogs
Oct 21, 2021

5 Common Mistakes that Lead Traders to Huge Losses

Stock trading is not a hobby. It’s science. Anyone who thinks otherwise is destined to experience huge losses at some point. Hobbyists tend to have a lack of emotional control. They do everything on impulse because they “feel it in their gut.” That might work once or twice for a trader. In the long run, without a trading plan, it’s a path to failure.  

Most of the mistakes that result in stock market losses are directly related to the behavioral biases of the trader. The most dangerous of these is the disposition effect, a tendency to sell early or hold too long. Many traders do this and actually deceive themselves into thinking of it as a solid trading plan, justifying their actions by claiming they are minimizing risk.

Selling a stock before it hits maximum value is fear. Holding on too long is greed. There’s no science behind either and certainly no data to support these actions as valid trading strategies. To correct those behaviors, it’s important to look at the common mistakes that lead to a fear or greed-based mindset. Neither happens naturally. They’ve learned behaviors.

Mistake #1: Trading without a Plan

Newbies will open up a Robinhood account and start trading based on what the Motley Fool or Seeking Alpha tells them to do. They’ll read the Journal or Barron’s and hear about the next big tech stock and how it will make them millions in a few years. They know nothing about volume, liquidity, or Sharpe’s ratio, so they “trade” based on what the media tells them.

This is not a plan. Eventually, the folks who operate like this either fade away and open a safe ETF portfolio at Acorns or they learn and start to look at market indicators and historical graphs. The damage is already done, though. They’ve either taken so many losses that they’re desperate for a gain or they’re gun-shy and jump out of positions too soon.

More experienced traders make this mistake also. It’s not an accident that stock promoters release articles right before the market opens. Their job is to drive investor behaviors. It’s pretty easy to hype a mediocre stock with low trading volume to a desperate audience. If you’re having a bad week, you might just buy into it. Don’t do it. Always have a plan.

Mistake #2: Riding the Imaginary Wave

On June 5th, 2020, the Dow jumped 3.2% to close over 27,000 for the first time since February 25th, the beginning of the Covid-19 pandemic in the United States. I did well because I was invested in several petroleum options that aged out that day, which was a Friday. As an experienced trader, I took my wins and waited out the weekend.

A one-day spike is not a wave. Day traders and scalpers did well on June 5th because they know how to buy on the upslope and sell before the decline. The market jumped after an optimistic jobs report. It moved based on emotion, not market conditions. My options to sell OXY at $16 netted me $320 per contract. The stock was selling at $24.40 a share. Today it’s at $17.66.

Big wins make you want to double down and get more big wins. That’s why casinos and racetracks do well. Real traders, contrary to popular opinion, are not gamblers. If you score a big win on an up-market day, enjoy it, but stick to your original trading plan until you see some real movement. In other words, don’t go “all-in” on what could be a bluff. 

Mistake #3: Confusing Loss Aversion with Risk Management

Loss aversion is a fear of loss, not a risk management strategy. When mental accounting starts and you regularly hold positions too long, you may be experiencing a cognitive bias. Tell yourself it’s a long-term plan if you want, but you’re a trader, not an investor. Those positions should have been sold when they first started to decline. That’s how you mitigate losses. 

Traders need confidence. Fear should never dictate whether you buy or sell. Unfortunately, loss aversion is psychological, not a learned behavior. That makes it harder to overcome. It also makes it more difficult to detect. That’s why you should always keep a trade journal. Harmful tendencies will eventually reveal themselves if you track all activity.

Another way to offset loss aversion is to set up stop-losses on all trades. You should be doing this anyway. No matter how dedicated you are to watch the market on your computer screen, life will take you away from it at some point. Stop losses automate the selling process for you and give you the freedom to step back. Go to lunch. Take a walk. Enjoy life.

Mistake #4: Punching Above Your Weight

Yes, it’s a boxing expression. It’s also a life metaphor for people who try to do something they’re not capable of. In your case, that’s trading large positions when you have limited equity. Sadly, this is a common mistake among traders. You see that Tesla is moving, so you buy a huge block of it. Then you watch it go down like a failed rocket launch the next day.

Is Tesla a bad investment? Absolutely not. But you’re a trader, not an investor. Dumping all your equity into a large position will leave you paralyzed. It goes against the root concept of trading. Your success is dependent on constant movement in and out of trades. Betting everything on just one trade is simply not smart. You could lose everything.

Start small. If you’re new to the trading world, buy small positions and experiment with risk management strategies. Evaluate charts and graphs. Use a simulator to test your trading plan so you don’t lose any money. Tickeron’s Paper Trade application is one of the best available for this. 

Mistake #5: Buying into the Hype

Do you know how stock promoters make money? It’s not from the pop-up ads on their blog. Stock promoters make money off your behaviors. They hype up a stock, hoping to increase trading volume and drive up the price. Then they sell when the stock hits a peak, driving the price back down and taking a chunk out of your trade balance.

They are predators. Don’t be a victim. Successful traders make decisions based on technical and fundamental analysis, not media hype. When you lose sight of that, you’re setting yourself up for a loss. Jim Cramer doesn’t care if you make money. He has his own portfolio. When Jim gets out there and honks his horn, he’s looking to move the market for his benefit, not yours.

Stick to market trends, historical analysis, charts, patterns, and statistics. Take advantage of optimized pattern and trend search engine tools at Tickeron to find winning stocks. The nonsense being spouted by stock promoters is nothing more than background noise. If you want proof of that, put one of their “sure things” on a watch list for a few weeks. You might see a small spike that corresponds with their big “announcement,” but it will likely be a blip, followed by a big dip.

Understanding and Overcoming Behavioral Bias

Every human defect of character or shortcoming is based on fear. If you’re suffering from a behavioral bias, you’re not defective. You’re just human. The bias is likely viewed by your subconscious as a self-protection mechanism. Combat this by becoming conscious of the problem and seeking ways to overcome it. Here are some examples:

  • Representative Bias: Day traders sometimes make snap judgments based on past experiences. This can be an asset, but it can also become a destructive pattern. Condition yourself to treat every trade autonomously. Use your tools. 

  • Cognitive Dissonance: You’re likely a Type A personality. Most traders are. Cognitive dissonance is the bias that makes you incapable of seeing an opposing viewpoint. You’re convinced that you’re right. Train your brain to be open to new ideas.

  • Home Country Bias: Nationalism is not a profitable business model, for you as a trader or for your nation. Stock trading is a global profession. Don’t listen to the politicians on this. If you can make money on Alibaba, buy it. The country of origin doesn’t matter.

  • Mood Bias: If you’re pessimistic and always expect underperformance, you’ll struggle as a trader. Optimists who believe losses will always turn to gains if you wait long enough will just take bigger losses. Find a balance. Better yet, leave your feelings at the door. 

  • Attachment Bias: Green is the only color that matters to a trader. It has no political affiliation, religion, or country of origin. It doesn’t care if you drill for oil or drive an electric car. If any of these affect your trading decisions, you’re in the wrong business.  

Practice Makes Perfect

Okay, you’ll never be perfect, but if you practice on a simulator before jumping into live trading, you’ll have more good days than bad days. Tickeron’s Paper Trade simulator allows traders to discover their own strategies and sharpen trading skills, time management, and emotional control before trading with real money. You can learn more about it here

Related Ticker: OXY

OXY in -2.17% downward trend, falling for three consecutive days on May 31, 2023

Moving lower for three straight days is viewed as a bearish sign. Keep an eye on this stock for future declines. Considering data from situations where OXY declined for three days, in of 302 cases, the price declined further within the following month. The odds of a continued downward trend are .

Price Prediction Chart

Technical Analysis (Indicators)

Bearish Trend Analysis

The Momentum Indicator moved below the 0 level on May 31, 2023. You may want to consider selling the stock, shorting the stock, or exploring put options on OXY as a result. In of 83 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are .

OXY moved below its 50-day moving average on May 02, 2023 date and that indicates a change from an upward trend to a downward trend.

The 10-day moving average for OXY crossed bearishly below the 50-day moving average on May 03, 2023. This indicates that the trend has shifted lower and could be considered a sell signal. In of 14 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are .

The Aroon Indicator for OXY entered a downward trend on May 22, 2023. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.

Bullish Trend Analysis

The Stochastic Oscillator is in the oversold zone. Keep an eye out for a move up in the foreseeable future.

The Moving Average Convergence Divergence (MACD) for OXY just turned positive on May 19, 2023. Looking at past instances where OXY's MACD turned positive, the stock continued to rise in of 40 cases over the following month. The odds of a continued upward trend are .

Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where OXY advanced for three days, in of 297 cases, the price rose further within the following month. The odds of a continued upward trend are .

OXY may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.

Fundamental Analysis (Ratings)

Fear & Greed

The Tickeron SMR rating for this company is (best 1 - 100 worst), indicating very strong sales and a profitable business model. SMR (Sales, Margin, Return on Equity) rating is based on comparative analysis of weighted Sales, Income Margin and Return on Equity values compared against S&P 500 index constituents. The weighted SMR value is a proprietary formula developed by Tickeron and represents an overall profitability measure for a stock.

The Tickeron Price Growth Rating for this company is (best 1 - 100 worst), indicating fairly steady price growth. OXY’s price grows at a lower rate over the last 12 months as compared to S&P 500 index constituents.

The Tickeron Valuation Rating of (best 1 - 100 worst) indicates that the company is slightly overvalued in the industry. This rating compares market capitalization estimated by our proprietary formula with the current market capitalization. This rating is based on the following metrics, as compared to industry averages: P/B Ratio (2.517) is normal, around the industry mean (6.025). P/E Ratio (6.588) is within average values for comparable stocks, (15.441). Projected Growth (PEG Ratio) (1.243) is also within normal values, averaging (55.797). Dividend Yield (0.010) settles around the average of (0.090) among similar stocks. P/S Ratio (1.618) is also within normal values, averaging (151.682).

The Tickeron PE Growth Rating for this company is (best 1 - 100 worst), pointing to worse than average earnings growth. The PE Growth rating is based on a comparative analysis of stock PE ratio increase over the last 12 months compared against S&P 500 index constituents.

The Tickeron Profit vs. Risk Rating rating for this company is (best 1 - 100 worst), indicating that the returns do not compensate for the risks. OXY’s unstable profits reported over time resulted in significant Drawdowns within these last five years. A stable profit reduces stock drawdown and volatility. The average Profit vs. Risk Rating rating for the industry is 80, placing this stock worse than average.

Notable companies

The most notable companies in this group are ConocoPhillips (NYSE:COP), EOG Resources (NYSE:EOG), Canadian Natural Resources Limited (NYSE:CNQ), Occidental Petroleum Corp (NYSE:OXY), Pioneer Natural Resource Co (NYSE:PXD), Hess Corp (NYSE:HES), Devon Energy Corp (NYSE:DVN), Diamondback Energy (NASDAQ:FANG), Marathon Oil Corp (NYSE:MRO), EQT Corp (NYSE:EQT).

Industry description

The oil and gas production segment includes companies that specialize in exploration, development, and production of oil and natural gas. These companies are focused on upstream operations. Companies typically identify deposits, drill wells, and extract raw materials from underground. The industry also includes related services like rig operations, feasibility studies, machinery rentals etc. Several operators in this industry work with various types of contractors such as engineering procurement and construction contractors, as well as with joint-venture partners and oil field service companies. Oil and gas often involves large fixed costs of production; so, declining crude oil prices, for example, is a potential negative for this industry. Conoco Phillips, EOG Resources, Inc. and Pioneer Natural Resources Company are some examples of companies operating in this space.

Market Cap

The average market capitalization across the Oil & Gas Production Industry is 3.18B. The market cap for tickers in the group ranges from 3.28K to 120.16B. COP holds the highest valuation in this group at 120.16B. The lowest valued company is PSTRQ at 3.28K.

High and low price notable news

The average weekly price growth across all stocks in the Oil & Gas Production Industry was -3%. For the same Industry, the average monthly price growth was -4%, and the average quarterly price growth was -11%. PTRVF experienced the highest price growth at 70%, while OILY experienced the biggest fall at -46%.

Volume

The average weekly volume growth across all stocks in the Oil & Gas Production Industry was 51%. For the same stocks of the Industry, the average monthly volume growth was 61% and the average quarterly volume growth was -85%

Fundamental Analysis Ratings

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

Valuation Rating: 54
P/E Growth Rating: 75
Price Growth Rating: 55
SMR Rating: 60
Profit Risk Rating: 79
Seasonality Score: -17 (-100 ... +100)
View a ticker or compare two or three
Technical Analysis# Of IndicatorsAvg. Odds
   
   
Show details...
A.I.Advisor
published price charts
A.I. Advisor
published General Information

General Information

Industry OilGasProduction

Profile
Fundamentals
Details
Industry
Oil And Gas Production
Address
5 Greenway Plaza
Phone
+1 713 215-7000
Employees
11973
Web
https://www.oxy.com
Interesting Tickers
1D
1W
1M
1Q
6M
1Y
5Y
1 Day
STOCK / NAMEPrice $Chg $Chg %
ESMT18.980.80
+4.40%
EngageSmart
HFFG3.65-0.02
-0.54%
HF Foods Group
LASE2.99-0.02
-0.66%
Laser Photonics Corp
OCFC14.18-0.46
-3.14%
OceanFirst Financial Corp
HAL28.65-1.08
-3.63%
Halliburton Company

OXY and

Correlation & Price change

A.I.dvisor indicates that over the last year, OXY has been closely correlated with DVN. These tickers have moved in lockstep 81% of the time. This A.I.-generated data suggests there is a high statistical probability that if OXY jumps, then DVN could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To OXY
1D Price
Change %
OXY100%
-1.59%
DVN - OXY
81%
Closely correlated
-1.83%
MRO - OXY
80%
Closely correlated
-2.98%
EOG - OXY
80%
Closely correlated
-1.40%
APA - OXY
79%
Closely correlated
-1.43%
HES - OXY
78%
Closely correlated
-0.95%
More
Sergey Savastiouk's Avatar
published in Blogs
Mar 14, 2023
How to Start Trading Penny Stocks

How to Start Trading Penny Stocks

Penny stocks have long been marginalized within the professional investment community, oftentimes being painted with a broad brush of simply being “too risky.” Leonardo DiCaprio’s depiction of the penny stock peddling conman, Jordan Belfort, in the Wolf of Wall Street certainly didn’t help.Here are four reasons to start trading them now. Reason #1: Let’s State the Obvious -- Penny Stocks are Cheap A single share of Apple Inc. costs over $350.
Dmitry Perepelkin's Avatar
published in Blogs
Mar 14, 2023
5 Habits that Lead to Successful Investing

5 Habits that Lead to Successful Investing

To consistently make money in this industry, you need emotional fortitude, an analytical mind, and a willingness to self-reflect. Despite trading and investing being two different activities, these principles can be applied to both.Conversely, investors with good habits often become great traders.  Rather than full sentences for titles, we’ve labeled each of our top-five investing habits using a single word principle.
Allana's Avatar
published in Blogs
Mar 23, 2023
What’s the Difference Between Data Analytics and Machine Learning?

What’s the Difference Between Data Analytics and Machine Learning?

Artificial intelligence (AI) technology is developing rapidly.Data mining can deliver raw numbers, but it does not necessarily provide actionable insights. Structure is necessary to taking abstract information and extracting commonalities, like averages, ratios, and percentages.
Sergey Savastiouk's Avatar
published in Blogs
Mar 13, 2023
4 Tips for Fast, Effective Stock Analysis

4 Tips for Fast, Effective Stock Analysis

With just a few clicks, an investor can search for individual stocks, categories of stocks, sectors, or investment themes, and then he or she can conduct a full range of technical and fundamental analysis within seconds.All powered by Artificial Intelligence.  Below, we give you 5 tips for fast, effective stock analysis using Tickeron’s Screener.
Sergey Savastiouk's Avatar
published in Blogs
Mar 20, 2023
5 Golden Principles in Investing

5 Golden Principles in Investing

You have enough faith in that stock, based on research, that the return will equal or exceed the investment.  Do unto others.The principles outlined here will ensure that happens.  Principle #1: Diversification Investors can’t be one-dimensional when constructing a portfolio.
John Jacques's Avatar
published in Blogs
Mar 24, 2023
If Hedge Funds are Using AI to Invest, Why Shouldn’t You?

If Hedge Funds are Using AI to Invest, Why Shouldn’t You?

Some of the world’s biggest financial institutions have devoted multi-million dollar budgets to developing algorithms that can find patterns in the market, identify trends, and perform automated trading designed to take advantage of even the smallest price movements. The AI revolution is so big that as it stands today, the world’s five biggest hedge funds all use systems-based approaches to trade financial markets.Indeed, quantitative trading hedge funds now manage $918 billion (according to HFR), which amounts to 30% of the $3 trillion hedge fund industry – a percentage continues to grow with each year that passes.
Sergey Savastiouk's Avatar
published in Blogs
Mar 15, 2023
The five most important Lessons Learned After 10,000 hours of Trading

The five most important Lessons Learned After 10,000 hours of Trading

Ten thousand hours of active trading, broken down into forty-hour weeks, amounts to almost five years. Having surpassed that milestone myself, I now understand why it's significant for any trader's journey. The early years taught me valuable lessons that have shaped my approach to trading. It's a misconception that great traders are born with innate talent. The truth is that it takes years of...
Edward Flores's Avatar
published in Blogs
Mar 12, 2023
What's the Difference Between Tokens and Altcoins?

What's the Difference Between Tokens and Altcoins?

Between their inherently technical nature, multiple varieties and sub-varieties, and endless terminology, cryptocurrency (defined here as digital or virtual currencies that are encrypted using cryptography, powered by the immutable digital ledger known as the blockchain) represents a whole, complex world.All altcoins possess their own blockchain, independent from their source code, that records all transactions of their native coins. Many altcoins are variants, or forks, of Bitcoin that leverage that cryptocurrency’s open-source protocol as the basis.
Edward Flores's Avatar
published in Blogs
Mar 26, 2023
Why it Pays to Invest in Dividend Stocks Over the Long Term

Why it Pays to Invest in Dividend Stocks Over the Long Term

Where smaller, more volatile companies can placate shareholders with higher returns, larger companies often use dividend payouts to entice new investors and hold their existing ones. These low-risk options may not work for every investment approach, but dividend-producing stocks can offer great benefits under the right circumstances – especially for portfolios built for the long-term.Beyond the ability to rely on these semi-regular payouts as an income stream – a strategy favored by retirees – dividends are an excellent vehicle for compounding earnings through reinvestment.
Edward Flores's Avatar
published in Blogs
Apr 02, 2023
How Artificial Intelligence Can Improve Fintech

How Artificial Intelligence Can Improve Fintech

Artificial intelligence (AI) and fintech have an inherent compatibility that has become clearer as each sector has matured, with recent growth and successes on their own accord bringing new ideas about how they can work together.AI can analyze information at far greater quantities (and far more quickly) than any human, making it a natural fit to help fintech firms streamline and automate processes that benefit customers and businesses alike. Fintech has brought a revolution of convenience to the finance world.