MENU
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

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

Aroon Indicator for OXY shows an upward move is likely

OXY's Aroon Indicator triggered a bullish signal on March 04, 2026. Tickeron's A.I.dvisor detected that the AroonUp green line is above 70 while the AroonDown red line is below 30. When the up indicator moves above 70 and the down indicator remains below 30, it is a sign that the stock could be setting up for a bullish move. Traders may want to buy the stock or look to buy calls options. A.I.dvisor looked at 231 similar instances where the Aroon Indicator showed a similar pattern. In of the 231 cases, the stock moved higher in the days that followed. This puts the odds of a move higher at .

Price Prediction Chart

Technical Analysis (Indicators)

Bullish Trend Analysis

The Moving Average Convergence Divergence (MACD) for OXY just turned positive on February 19, 2026. Looking at past instances where OXY's MACD turned positive, the stock continued to rise in of 45 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 290 cases, the price rose further within the following month. The odds of a continued upward trend are .

Bearish Trend Analysis

The RSI Indicator demonstrates that the ticker has stayed in the overbought zone for 3 days. The longer the ticker stays in the overbought zone, the sooner a price pull-back is expected.

The Stochastic Oscillator demonstrated that the ticker has stayed in the overbought zone for 9 days. The longer the ticker stays in the overbought zone, the sooner a price pull-back is expected.

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

OXY broke above its upper Bollinger Band on February 19, 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.

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

The Tickeron Profit vs. Risk Rating rating for this company is (best 1 - 100 worst), indicating well-balanced risk and returns. The average Profit vs. Risk Rating rating for the industry is 74, placing this stock slightly better than average.

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 (1.908) is normal, around the industry mean (12.289). P/E Ratio (39.763) is within average values for comparable stocks, (26.828). Projected Growth (PEG Ratio) (2.101) is also within normal values, averaging (9.359). Dividend Yield (0.018) settles around the average of (0.066) among similar stocks. P/S Ratio (2.486) is also within normal values, averaging (213.316).

The Tickeron SMR rating for this company is (best 1 - 100 worst), indicating weak sales and an unprofitable 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.

Notable companies

The most notable companies in this group are ConocoPhillips (NYSE:COP), Canadian Natural Resources Limited (NYSE:CNQ), EOG Resources (NYSE:EOG), Occidental Petroleum Corp (NYSE:OXY), Diamondback Energy (NASDAQ:FANG), EQT Corp (NYSE:EQT), Devon Energy Corp (NYSE:DVN), Expand Energy Corporation (NASDAQ:EXE), ANTERO RESOURCES Corp (NYSE:AR), APA Corp (NASDAQ:APA).

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 4.83B. The market cap for tickers in the group ranges from 3.28K to 144.53B. COP holds the highest valuation in this group at 144.53B. 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 7%. For the same Industry, the average monthly price growth was 13%, and the average quarterly price growth was 33%. BATL experienced the highest price growth at 354%, while OODH experienced the biggest fall at -30%.

Volume

The average weekly volume growth across all stocks in the Oil & Gas Production Industry was 569%. For the same stocks of the Industry, the average monthly volume growth was 56% and the average quarterly volume growth was 167%

Fundamental Analysis Ratings

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

Valuation Rating: 51
P/E Growth Rating: 52
Price Growth Rating: 47
SMR Rating: 76
Profit Risk Rating: 74
Seasonality Score: -7 (-100 ... +100)
View a ticker or compare two or three
OXY
Daily Signal:
Gain/Loss:
Interact to see
Advertisement
A.I.Advisor
published price charts
These past five trading days, the stock lost 0.00% with an average daily volume of 0 shares traded.The stock tracked a drawdown of 0% for this period. OXY showed earnings on February 18, 2026. You can read more about the earnings report here.
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
12570
Web
https://www.oxy.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