# How to Identify Uptrends, Downtrends, and Market Ranges

A market trend is the sustained, overarching direction in which the price of a financial asset moves over a specific period of time. You can differentiate between these market environments by analyzing their peaks and troughs: uptrends consistently form higher highs and higher lows, downtrends create lower highs and lower lows, and sideways markets fluctuate horizontally within a confined range. Identifying these structural footprints allows investors to determine whether buyers or sellers are currently in control of an asset's valuation.

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## The Anatomy of Market Price Action

Financial markets are immensely complex ecosystems driven by the collective behavior of millions of participants, ranging from retail day traders to algorithmic hedge funds. Despite this complexity, prices rarely move in a straight, uninterrupted line. Instead, they oscillate in zig-zag patterns, moving in waves that ultimately establish a clear path of least resistance. This prevailing path is known as a market trend, and recognizing it is the foundational skill required for technical and fundamental market analysis [cite: 1, 2, 3]. 

The formal concept of trend identification traces its roots back to the late nineteenth century with Charles Dow, the founder of the Wall Street Journal. The principles he outlined, collectively known today as Dow Theory, posit that market prices discount and reflect all available information, including macroeconomic data, investor sentiment, and future expectations [cite: 4, 5, 6]. According to this framework, asset prices move in identifiable waves that can be categorized by their duration and their structural characteristics.

Dow famously likened market movements to the ocean to explain the different time horizons of trends. The primary trend is the "tide," representing the major, long-term direction of the market that typically lasts for a year or longer. Within that primary trend, secondary trends act as the "waves," serving as intermediate corrections or retracements that last between one to three months. Finally, minor trends appear as the "ripples," representing short-term, day-to-day fluctuations that last less than a month [cite: 4, 6]. Understanding market structure across these different timeframes helps investors filter out daily noise and focus on the underlying momentum of an asset, whether it is a corporate stock, a currency pair, or a physical commodity [cite: 7, 8, 9].



### The Three Phases of Market Cycles
Beyond identifying the direction of the tide, Dow Theory also outlines the psychological lifecycle of a primary trend, dividing it into three distinct phases. An extensive uptrend begins with the accumulation phase. During this period, astute institutional investors and "smart money" begin purchasing shares at depressed prices, recognizing underlying fundamental value while the general public remains fearful or apathetic [cite: 5, 10]. 

As the asset's price begins to rise noticeably, it enters the public participation phase. Here, momentum traders, technical analysts, and the broader retail investing public recognize the established trend and enter the market, driving prices up rapidly in a sustained rally. Finally, the cycle reaches the distribution phase. As financial media outlets tout the asset's success and retail investors succumb to euphoric buying, the institutional investors who accumulated shares early begin to quietly sell off their positions, distributing their holdings to latecomers just before the trend reverses into a downtrend [cite: 4, 5, 10].

## Identifying Uptrends: The Bull Market

An uptrend, universally referred to as a bullish market environment, signifies a sustained period of rising asset valuations. Structurally, analysts define an uptrend by observing a sequence of consecutive "higher highs" (HH) and "higher lows" (HL) on a price chart [cite: 11, 12]. Each time the asset's price rallies, it generates enough momentum to push past the previous peak. When the price inevitably pulls back to correct or consolidate, buyers step in at a higher price floor than the previous trough, preventing the asset from losing significant ground [cite: 4, 9, 13].

This staircase-like upward pattern provides a clear visual footprint of market psychology. It reveals that buyers are firmly in control and willing to pay a premium for the asset over time. Even during brief periods of selling pressure or profit-taking, eager investors view the dips as buying opportunities, reflecting widespread optimism and a rising expectation of future corporate growth or economic expansion [cite: 4, 14, 15]. 

### The Role of Volume and Structure
In a healthy, sustainable uptrend, trading volume plays a critical corroborating role. Charles Dow emphasized that volume must confirm the trend; therefore, in a bull market, trading volume should expand on days when the price rises and shrink on days when the price pulls back [cite: 5, 7, 16]. This dynamic indicates that institutional capital is actively pushing the market higher, while selling pressure remains relatively weak.

The structural integrity of an uptrend remains intact as long as this sequence of higher highs and higher lows continues undisturbed. However, if the price of an asset suddenly drops below the level of the most recent higher low, the sequence is broken. This event is known among analysts as a "market structure shift" or a breakdown in support [cite: 10, 17]. While it does not guarantee an immediate market crash, it serves as an early technical warning that bullish momentum is exhausting itself and that a reversal may be imminent. 

## Spotting Downtrends: The Bear Market

Conversely, a downtrend, or bearish trend, is a sustained period of declining market prices. Structurally, a downtrend is the exact mirror image of an uptrend: it is identified by a definitive sequence of "lower highs" (LH) and "lower lows" (LL) [cite: 11, 12]. In a bearish environment, every attempt at a relief rally fizzles out at a lower ceiling than the previous attempt, and every subsequent decline breaks through the previous floor to establish new depths [cite: 13, 18].

Downtrends occur when supply consistently overwhelms demand. Investor confidence erodes due to deteriorating economic data, poor corporate earnings, or external geopolitical shocks, prompting market participants to liquidate their holdings to protect capital [cite: 4, 15]. Buyers lose their conviction to support the asset at previous price levels, stepping aside as the valuation plummets. Furthermore, short-sellers—traders who borrow shares to sell them with the intention of repurchasing them later at a lower price—often enter the market heavily during these periods to capitalize on the downward momentum, adding additional selling pressure [cite: 15]. 

### Risks of Counter-Trend Trading
Navigating a downtrend requires significant discipline. Novice investors often attempt to predict the exact bottom of a declining market by purchasing shares aggressively as they fall, hoping for a sharp rebound. In the financial industry, attempting to buy an asset in a steep, unconfirmed downtrend is famously referred to as "catching a falling knife" [cite: 19, 20]. While perfectly timing a market bottom yields spectacular returns, the statistical probability of success is exceptionally low. 

Financial professionals emphasize that a true trend reversal is never confirmed until the market structure visibly shifts. An analyst will not declare the end of a downtrend until the asset's price manages to break above a previous lower high and successfully establishes a new higher low, proving that buyers have permanently regained control from sellers [cite: 4]. Until that structural proof is printed on the chart, every short-term price increase is merely viewed as a temporary "dead cat bounce" within a larger bearish cycle.

## Navigating the Sideways Market: Range-Bound Chop

Not all market environments are characterized by clear directional momentum. A sideways trend, frequently referred to as a ranging, trendless, or consolidating market, occurs when the price moves horizontally between relatively equal highs and equal lows [cite: 2, 21, 22]. In this scenario, the market lacks a definitive upward or downward bias, and prices simply chop back and forth within a confined horizontal band [cite: 23, 24].

Sideways markets represent a period of temporary equilibrium where the forces of supply and demand are evenly matched. Neither the bulls nor the bears possess enough conviction or capital to drive the price into a sustained directional move [cite: 4, 23, 25]. These periods often emerge as "post-trend consolidation" phases following a massive rally or a severe drop. The market effectively pauses to digest the previous move, allowing participants to lock in profits, reassess economic data, and wait for a new fundamental catalyst before committing to a new direction [cite: 10, 25].

### Strategic Adjustments for Ranging Markets
A common adage on Wall Street states that the single most costly mistake in trading is applying the wrong strategy to the current market environment. Strategies designed for trending markets clash violently with the mechanics of sideways markets [cite: 23]. 

Trend-following traders who rely on momentum indicators often struggle immensely during range-bound chop. They repeatedly establish long positions when the price attempts to break out of the top of the range, only to watch the breakout fail and reverse downward, triggering their stop-loss orders. This phenomenon, where traders suffer frequent, incremental losses due to false signals, is known in the industry as "death by a thousand stops" [cite: 11]. 

Conversely, mean-reversion traders thrive in sideways environments. By utilizing range-trading tactics, they purchase the asset near the established bottom support level and sell it near the top resistance level, profiting efficiently from the predictable, oscillating price swings within the established boundaries [cite: 23, 26]. This period of consolidation ultimately concludes when a sudden surge in volume pushes the price definitively beyond the support or resistance lines, signaling the birth of a new primary trend [cite: 4, 26].

## Structural Comparison of Market Trends

To summarize the distinct characteristics of these three market states, it is helpful to contrast how they influence price structure, investor sentiment, and optimal trading strategies. Understanding these differences allows market participants to calibrate their risk management protocols dynamically.

| Feature | Uptrend (Bull Market) | Downtrend (Bear Market) | Sideways (Ranging Market) |
| :--- | :--- | :--- | :--- |
| **Directional Bias** | Sustained upward trajectory over time. | Sustained downward trajectory over time. | Horizontal, confined movement with no bias. |
| **Price Structure** | Higher Highs (HH) & Higher Lows (HL) [cite: 11, 12]. | Lower Highs (LH) & Lower Lows (LL) [cite: 11, 12]. | Equal Highs (EH) & Equal Lows (EL) [cite: 21]. |
| **Dominant Sentiment** | Optimistic, confident, often driven by greed [cite: 4, 27]. | Pessimistic, fearful, often driven by panic [cite: 4, 27]. | Indecisive, neutral, balanced [cite: 25, 26]. |
| **Volume Characteristics** | Expands on price increases, shrinks on pullbacks [cite: 7]. | Expands on price drops, shrinks on rallies [cite: 7, 16]. | Generally lower, shrinking trading volume [cite: 24]. |
| **Support & Resistance** | Previous resistance levels frequently become new support floors [cite: 28]. | Previous support floors frequently become new resistance ceilings [cite: 29]. | Rigid, well-defined boundaries that price repeatedly tests [cite: 4, 25]. |
| **Optimal Strategy** | Trend-following, momentum buying, purchasing the dip [cite: 23]. | Short-selling, defensive positioning, capital preservation [cite: 15]. | Mean reversion, buying at support, selling at resistance [cite: 23, 26]. |

## Technical Indicators: Measuring the Trend

While observing the visual peaks and troughs of a chart provides the basic framework for identifying market structure, technical analysis offers sophisticated mathematical tools to quantify momentum. These indicators are designed to smooth out random daily volatility, making the underlying trend significantly easier to interpret objectively [cite: 4, 30]. Professional analysts rarely rely on a single visual pattern; instead, they seek "confluence"—a scenario where multiple independent technical indicators align to confirm the exact same market narrative [cite: 31].

### Moving Averages and Trend Alignment
The moving average (MA) is one of the most respected and multi-functional indicators in technical analysis. A moving average continually calculates the average price of an asset over a specified number of historical trading periods, such as 20 days, 50 days, or 200 days [cite: 32, 33, 34]. 

There are two primary variations: the Simple Moving Average (SMA), which assigns equal weight to all data points in the period, and the Exponential Moving Average (EMA), which assigns greater mathematical weight to the most recent trading days, allowing it to react faster to sudden price shifts [cite: 4, 33]. 

Moving averages serve as excellent tools for rapid trend identification. If a stock's price consistently trades above an upward-sloping 200-day moving average, the asset is considered to be firmly entrenched in a long-term uptrend [cite: 29, 34]. Furthermore, moving averages act as dynamic support and resistance zones. In a strong bull market, a rising 50-day moving average often acts as a reliable floor; when the price dips to touch this invisible line, buyers frequently step in to defend the level, pushing the price back up [cite: 32, 33]. Conversely, in a bearish downtrend, declining moving averages act as heavy resistance ceilings, relentlessly rejecting attempts at price recovery [cite: 29]. 

### The Concept of Stacked Moving Averages
Advanced analysts assess trend strength by looking at "stacked moving averages." This occurs when multiple timeframes align perfectly. In a robust uptrend, the short-term average (e.g., the 20-day MA) sits comfortably above the intermediate average (50-day MA), which in turn rests above the long-term average (200-day MA). This perfect bullish stack indicates that buyers have been in absolute control across multiple time horizons. The cleaner and wider the separation between these lines, the more powerful and consistent the trend is deemed to be [cite: 35].

When these specific averages cross paths, they can signal a major macroeconomic paradigm shift. When a 50-day moving average crosses above a 200-day moving average, it triggers a highly watched, long-term bullish signal known as a "Golden Cross." If the 50-day crosses below the 200-day, it triggers an ominous bearish signal known as a "Death Cross," indicating that short-term momentum has collapsed entirely relative to the historical baseline [cite: 32, 36].

### Quantifying Momentum with Oscillators
Because identifying a trend based purely on moving averages can sometimes result in lagging signals, traders employ momentum oscillators to determine whether a current trend is gaining structural strength or preparing to reverse.

The Average Directional Index (ADX) is a unique technical tool that measures the sheer strength of a trend, completely independent of whether the market is going up or down [cite: 37, 38]. The ADX operates on an absolute scale from 0 to 100. If the ADX registers below 20, the market is mathematically categorized as "trendless" or sideways, serving as a glaring warning sign for trend-following traders to stay on the sidelines and avoid choppy price action [cite: 37]. However, if the ADX climbs steadily above 25, it confirms that a strong directional trend is actively underway and likely to sustain itself [cite: 23, 37].

Similarly, the Relative Strength Index (RSI) measures the magnitude and velocity of recent price changes to identify overbought or oversold market conditions. While the RSI is utilized across all market phases, it is particularly effective in identifying the extremes of sideways ranges. If a sideways market pushes the RSI over a value of 70, the asset is considered overbought and is highly likely to experience a downward pullback. If the RSI drops below 30, it is considered oversold and is statistically likely to bounce upward toward the mean [cite: 34, 39]. 

## Market Sentiment: The Psychology of Trends

Trends are not merely mathematical anomalies occurring in a vacuum; they are the visible footprint of mass human psychology and the subsequent flow of institutional capital [cite: 20, 40]. Despite the integration of advanced technology, financial markets remain famously driven by two primal human emotions: fear and greed [cite: 31]. 

### Tracking the Fear and Greed Index
To quantify this abstract psychological landscape, market analysts routinely consult sentiment indicators such as the CNN Fear and Greed Index. This proprietary index aggregates seven different market variables into a unified score ranging from 0 (Extreme Fear) to 100 (Extreme Greed). The components include stock price momentum, market breadth, put-to-call options ratios, safe-haven demand (stocks versus bonds), and market volatility [cite: 27, 41, 42]. 

In a powerful, sustained uptrend, the market typically exhibits elevated levels of greed. Retail investors, observing soaring portfolio balances, suffer from the "fear of missing out" (FOMO) and recklessly deploy capital into the market, blindly reinforcing the bullish trend [cite: 40, 43]. However, professional contrarian investors use sentiment gauges as a warning system. When the Fear and Greed Index hits extreme upper limits (such as a score above 80), contrarians begin to pare back their positions, recognizing that the market has become euphoric, overconfident, and highly susceptible to a sharp correction [cite: 31].

### Fear as a Buying Opportunity
Conversely, during a brutal downtrend or an abrupt market crash, extreme fear dictates price action. Panicked investors liquidate their equity portfolios indiscriminately, moving their capital into perceived safe-haven assets like government bonds [cite: 27, 40]. Volatility, often measured by the CBOE Volatility Index (VIX), skyrockets during these periods. While a normal VIX reading typically hovers between 16 and 30, massive market disruptions can push implied volatility significantly higher as demand for protective put options surges [cite: 27, 42].

Historically, periods of maximum, widespread fear often correlate almost perfectly with major market bottoms. As legendary investor Warren Buffett summarized in his famous contrarian proverb: "Be fearful when others are greedy, and greedy when others are fearful" [cite: 19, 41, 44]. Technical analysts look for divergences between price and sentiment to identify these turning points. For instance, if the S&P 500 continues to make new lower lows, but the Fear and Greed Index begins to stabilize or rise out of "Extreme Fear," it can serve as an early, reliable warning that the downtrend is losing its structural integrity and that an accumulation phase is beginning [cite: 31].

## How Asset Classes Influence Trend Behavior

While the structural definitions of higher highs and lower lows remain constant across all financial charts, the fundamental economic drivers behind those trends vary significantly depending on the specific asset class being analyzed. The profound nuances between equities (stocks) and physical commodities offer an excellent example of this behavioral divergence.

### The Upward Bias of Equities
The U.S. stock market is historically characterized by long-term, multi-year bullish primary trends, punctuated by relatively short, albeit sharp, bear market declines [cite: 44, 45]. Equity trends are heavily tethered to corporate earnings growth, forward-looking economic expansion expectations, and continuous technological innovation [cite: 30, 46]. 

Because the underlying economy tends to expand over decades, broad stock market indices carry a structural, mathematical upward bias. This historical reality forms the bedrock of standard financial planning advice given to retail investors and 401(k) contributors: "The trend is your friend," and time in the market consistently beats attempting to time the market's swings [cite: 19, 43, 45, 47]. While equity markets experience intense volatility during recessions, the long-term trend line heavily favors the bulls.

### The Cyclical Nature of Commodities
Commodity markets, which include raw materials such as crude oil, gold, copper, and agricultural products, behave entirely differently. Commodity trends are aggressively tethered to the physical realities of global supply and demand, geopolitical supply chain shocks, weather patterns, and currency inflation [cite: 48, 49]. Rather than compounding upward infinitely like technology stocks, commodities tend to experience intense, cyclical price realignments followed by prolonged sideways ranging periods [cite: 23, 50]. 

Recent market history sharply highlights this divergence. Between late 2023 and 2024, commodity markets experienced significant structural price action shifts. While broader equity markets experienced bouts of sell-offs, specific commodities—such as gold, crude oil, and certain agricultural futures—enjoyed massive, independent bull runs driven by stubborn inflation persistence, shrinking physical global inventories, and logistical constraints [cite: 48, 51, 52]. 

Financial analysts noted in 2024 that episodes of commodity outperformance against equities historically signal deep structural macroeconomic pressures. During these environments, nominal equity returns struggle to outpace inflation, while physical hard assets like commodities act as a natural hedge, maintaining purchasing power and real economic value [cite: 50, 51, 53]. Because commodities are highly cyclical and prone to mean reversion as supply expands to meet high prices, they are generally viewed as assets to be actively traded along trendlines rather than held passively forever [cite: 52, 53].

## Dow Theory in the Age of Algorithmic Trading

When Charles Dow published his seminal theories on market trends in the late nineteenth century, financial trades were executed manually via telegraph wires and paper tickets. Today, the vast majority of daily market liquidity is controlled by high-frequency trading (HFT) firms, automated algorithmic systems, and artificial intelligence (AI) [cite: 54, 55]. This technological revolution raises a critical academic question: Do the century-old rules of trend identification still govern modern markets?

Extensive academic research conducted between 2023 and 2025 confirms that the core tenets of Dow Theory remain highly relevant. The primary reason for this enduring relevance is that modern algorithmic trading systems are mathematically programmed to hunt for the exact same structural chart patterns that Dow originally identified [cite: 54, 56, 57, 58]. Machine learning algorithms and deep reinforcement networks ingest decades of historical price data, successfully identifying support and resistance boundaries, moving average crossovers, and critical volume spikes at speeds imperceptible to human traders [cite: 57, 59].

### Algorithms Reinforcing Market Structure
Interestingly, rather than breaking traditional trend structures, algorithmic trading has largely reinforced them, making market microstructure significantly more efficient [cite: 59]. Systematic quantitative models rely heavily on strict "trend-following" logic [cite: 57, 60]. When an asset breaks through a major resistance level to form a new, confirmed "higher high," thousands of autonomous algorithms simultaneously detect the breakout and execute high-speed buy orders. This synchronized influx of institutional capital accelerates the uptrend, fulfilling the prophecy of the technical pattern [cite: 58, 59]. 

Furthermore, AI-driven systems hold a distinct advantage over human traders: they are completely devoid of emotional bias. Unlike retail investors who panic during market drawdowns or suffer from FOMO during rallies, autonomous systems execute their risk management protocols flawlessly. Research indicates that by curbing behavioral biases, AI trading systems can achieve 8–10% higher annual returns than conventional models while maintaining significantly lower portfolio volatility [cite: 59].

### The Risks of High-Frequency Trading
However, the proliferation of algorithms introduces unique modern challenges to trend analysis. Because these systems react instantly to data inputs, they can severely exacerbate short-term market volatility. If an algorithmic parameter is breached, it can trigger cascading sell orders, leading to abrupt "flash crashes" or vicious whipsaw movements that temporarily break normal market structure [cite: 61, 62].

To combat this, the most advanced AI trading systems now integrate Natural Language Processing (NLP) to conduct real-time sentiment analysis on financial news feeds, corporate earnings transcripts, and social media platforms [cite: 54, 62]. By combining classic Dow Theory trend analysis with AI-driven alternative data, these systems achieve remarkable predictive accuracy, successfully filtering out algorithmic "noise" to stay aligned with the true primary market trend [cite: 54, 62].

## Bottom line

A market trend represents the path of least resistance established by institutional capital flowing into or out of a financial asset. Investors can confidently identify an uptrend by observing a clear sequence of higher highs and higher lows, while a downtrend is characterized by a definitive pattern of lower highs and lower lows. When an asset stops establishing a clear direction and begins bouncing horizontally between two established price points, it has entered a sideways, range-bound market, requiring entirely different trading strategies. While the rise of artificial intelligence and algorithmic trading has increased short-term volatility, the fundamental rules of trend structure remain the irreplaceable backbone of market analysis, allowing disciplined investors to align their portfolios with the prevailing momentum.

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56. [Types of trends in the stock market](https://www.investmentnews.com/glossary/stock-market-trends/263428)
57. [Uptrend. An uptrend in financial markets refers to a sustained upward movement](https://www.strike.money/technical-analysis/three-primary-trends)
58. [A market trend is the general direction in which a market](https://www.ig.com/en/trading-strategies/understanding-market-trends-for-your-investing-decisions-250209)
59. [Note The Direction](https://www.kotakneo.com/investing-guide/share-market/how-to-identify-stock-market-trends/)
60. [Finimize logo icon.](https://finimize.com/glossary/trend)
61. [What Are the Three Main Types of Trends in Technical Analysis?](https://bravosresearch.com/blog/technical-analysis/types-of-trends-in-technical-analysis/)
62. [What a trend is in technical analysis.](https://www.wealthsimple.com/en-ca/learn/identifying-trends)
63. [Types of Trends: Uptrend, Downtrend, and Sideways Trend](https://www.arabictrader.com/en/learn/forex-school/58/understanding-price-trends-in-technical-analysis)
64. [What Is a Trend in Technical Analysis?](https://nordfx.com/useful-articles/technical-analysis-beginners-trends)
65. [Technical analysis trends refer to the general direction of market price movement over time.](https://nordfx.com/en/useful-articles/technical-analysis-beginners-trends)
66. [A trending market and a sideways market are two distinct market conditions.](https://www.quora.com/What-is-the-difference-between-a-trending-market-and-a-sideways-market)
67. [These markets are defined by support and resistance, weak momentum, and choppy price action.](https://www.ebc.com/forex/sideways-market-trap-surviving-choppy-conditions)
68. [Sideways Market vs. Trending Market: Key Differences.](https://zipmex.com/blog/sideways-market/)
69. [What's crucial to understand is the absence of prominent bullish or bearish trends.](https://www.stockgro.club/blogs/stock-market-101/sideways-market/)
70. [2 Types of Market Structures](https://acy.com/en/market-news/education/ultimate-guide-market-trends-price-action-j-o-03252025-141804/)
71. [Dow Theory, introduced eight assumptions and principles.](https://www.researchgate.net/publication/376619432_Predicting_Stock_Market_Index_Movements_With_Machine_Learning)
72. [Many non-arbitrage algorithmic trading systems rely on the idea of trend-following](https://www.scribd.com/document/36785352/Technical-Analysis-of-Stocks)
73. [Dow Theory remains relevant in the era of trading algorithms](https://www.litefinance.org/blog/for-beginners/technical-analysis/dow-theory/)
74. [Technical analysis is anathema to the academic world.](http://biitm.dspaces.org/bitstream/123456789/1165/1/CHANDAN%20SIP%20-18.pdf)
75. [To be implemented from the Academic Year 2023 – 2024](https://siesce.edu.in/docs/1731564950%20NEP%20Syllabus%20-%20MCom%20FRTASem%20III%20&%20IV.pdf)
76. [Market structure forms the basis of every trend on the trading chart](https://howtotrade.com/blog/higher-highs-lows-lower-highs-lows/)
77. [In the world of trading, analyzing trends and price changes are two very important things](https://blog.bettertrader.co/technical-analysis/higher-highs-and-higher-lows-vs-lower-highs-and-lower-lows/)
78. [Key Takeaways](https://eplanetbrokers.com/training/market-structure)
79. [Different Types of Market Structure Explained](https://bookmap.com/blog/what-is-market-structure-in-trading-forex-market-structure-trading-explained)
80. [Introduction: Forex and Commodities Overview.](https://hw.online/faq/forex-vs-commodities-key-differences-and-trading-strategies/)
81. [We've gathered five of the more reliable ones here.](https://www.schwab.com/learn/story/5-trading-proverbs-you-can-use)
82. [Basics of 401k: A Guide to Retirement Investment](https://investingstrategy.co.uk/other-investments/a-simple-guide-to-trading-strategies/)
83. [Learn the investing facts of life](https://soundmindinvesting.com/articles/your-10-most-important-financial-moves-for-2025)
84. [Remember this timeworn market mantra: The trend is your friend.](https://www.schwab.com/learn/story/stock-investment-tips-beginners)
85. [If the mainstream press continually positions investing as good or safe and trading as bad or risky](https://ptgmedia.pearsoncmg.com/images/9780137020188/samplepages/9780137020188.pdf)
86. [3 Types of Market Trends to Identify](https://www.sofi.com/learn/content/trend-trading-basics/)
87. [Whether those peaks and troughs are moving up, down, or sideways indicates the direction of the trend.](https://www.fidelity.com/learning-center/trading-investing/technical-analysis/basic-concepts-trend)
88. [Understanding trends using technical analysis](https://us.etrade.com/knowledge/library/stocks/technical-analysis-trends)
89. [Markets move up, down, or sideways in trends.](https://www.blueguardian.com/blogs/how-to-start-day-trading-a-complete-beginners-guide-2026)
90. [An uptrend is when the price makes higher swing highs and higher swing lows.](https://www.moomoo.com/us/learn/detail-using-trend-lines-to-help-trading-116998-240161008)
91. [Dow Theory has evolved to stay relevant in modern financial markets](https://thetradinganalyst.com/dow-theory/)
92. [Oversimplification Some critics argue that the theory oversimplifies market behavior](https://www.dukascopy.com/swiss/english/marketwatch/articles/dow-theory/)
93. [Dow Theory forms the cornerstone of technical analysis](https://www.mdpi.com/2673-9909/5/3/76)
94. [Dow Theory is still highly relevant in the modern financial markets](https://upstox.com/learning-center/share-market/what-is-dow-theory/article-1654/)
95. [Image Gallery.](https://share.chopshopstore.com/information/see-the-hidden-patterns-in-the-dow-market-chartbig-moves-are-coming-in-2024-1060061)
96. [For example, stocks of companies in one sector can react differently](https://www.sec.gov/ix?doc=/Archives/edgar/data/1364924/000136492424000092/filing7449.htm)
97. [explanations from the market trends data is not possible.](https://www.sec.gov/files/access-to-capital-and-market-liquidity-study-dera-2017.pdf)
98. [This section briefly describes that framework in order to provide context for the discussion of current market trends](https://www.sec.gov/news/studies/techrp97.htm)
99. [feeds, and all our features](https://www.sec.gov/Archives/edgar/data/2026353/000164117225017754/filename1.htm)
100. [to raw data sets, customization of data feeds, and all our features](https://www.sec.gov/Archives/edgar/data/2026353/000149315224031233/filename1.htm)

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10. [eplanetbrokers.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGKrc7O8WNbuP27Gwtg-F4QNyRNeVa6mx-h_E6E7iqKa8jZYSV98ZII_kbUjAOabdi6omY8zTORLbHiDRE7KGsJGTWeKG_X5h2uOFar7R5nppGATp3jw6owEIf5-jymgRsX4LFmYiSxcRqN)
11. [britannica.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGN5EDYc02tm_GqbRmew9MTH6NXlcW23_7_HfSMC6nr9G1_yODSvgPAjMf_vgv57wQdJ6PB5ugudjDaHSg6rBfoiABF1Ns9tOFSHyBs_k2FVfNq9Cr01P2IKxzzH56DuVHipILcTR85q2gziod_OQpYkdit-k6Ghw==)
12. [howtotrade.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGosnwkpX28829bFbZI2fPSX8jmRA46e2Vzh5qD5q6HZIFLqBo6G2OWwbhyfxawY2KO0kMkjmcymNbnjh8ptdot-CgEQrXNT5zIdvgvQKPzbvMwuYFaIQWe1vceW_6fuBYQWikf-ppaDJf4QQ0FNAIHgZHPduc=)
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14. [smartrisk.net](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHiwanW5snfxhrN8jd_SpMdjHNYJ_DRhiLNcY6kdHxS0iTuTcyYqOqZVXtsTZHnVQ3aEesczR5lHP4tjrHc3MAESs--YK98GPUgNwSIXfg3cFsyFTDnr_G91KyPvbJI03XHTX6Hk67k6A==)
15. [strike.money](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEoWqLn6tXrY9LI9O7ICYL4gJJkUt94v5KOVmGhtRfZqlXJl6F8EniTgVbklKLQwmXhgWxQs1KzPUJHCfaMZNzlI3iAufCnUuqVgaAsDa5JBTG7bEnuBq0TKjLhrkIAiMpqt1nD-jXO7QRLOF242c0hnJz2648s)
16. [bdo.com.ph](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFgogDEy9jzn2ZvkmiV0HT9fNYspsNVIcibIqoHL18tY8zv2IvpgT8prEB9UzBOSUU_Wgp2TsaN1dLMbqkHl_ozS5wCctbiSckbTQstDMSzV-jBfIZUnt2lTUnGFi6UQoTnoHQPPeU8M9tNIXLDeXGkYDQs5zCtORyY)
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18. [investmentnews.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFdOROyBuC9yEkO707NcsEBpuP7SBzIGo67IRHSas4m9FjDb6JwCS5sFqUOBlkodSc3y6IMqmsObUdytyZ5nRDGl07FUFyA2XLRqGW4kqELbeG1M-XbTqIwHh6q4Xr4z7k0hnAWJ85uH4Q4teJ43ADFDFNz-2P7HWE=)
19. [schwab.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEWCQZzO_xDR9ermmVS-8SwAz_Wy62PSRAplgfVUFlDbBDmwqeJUBwSdlomSOWmO3GB1sy_mZwU8vUu5CD7bxzzezOeWWULKE7alJLmquLmZFOc_XtazpXCLDT3EtBgZYiKkL3MuOV8p5iCH0MDJQCFwmiKPUJQGw==)
20. [quora.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHwkJ-eG3nBUS6azY6Ls59jt0nO4qANGMgWfwEhcJD7Rwx19BnRKxnY_tJAth_L_ZT-BKGCBSQLf41uTVgYRdQnc4OaK31GMXdSMLultHq7dptA0y7wQeISV92Ycqtv6stZyktVRtjNK0P8SGW-hI2pm5zf)
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23. [zipmex.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEcMT9AWP_JfzyALhPJSVmgvMWyJdutsXARoo7fCUjjQ5nOx7SK2TLv9f4GDXYL8-aCssdHnEE0V-pI4zNnXhYm6BKCs6s1vkRQDTcyT8febxUUE8DmZbGDjP-ntHtQ)
24. [stockgro.club](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQF99qxhgdxn5uDZ5vhqxCnYUpZX3Qwjjhpl9HAncszRuSN_hVJrbmzFLJcetVohmcESjBw02Ih3KBdve5ozP9fK3jW5qOMJ6iAE8oXVeGxrKMGORUVuupeBROzvE1-pBJtPmy6gtlDDwCD_tAjqPTeHKRY2z9aaqw==)
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26. [quora.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFc04cMbylo2CxtfahmDTdVRpBlRyD8yY4KqphlTarET-tWt5gF19CyzKnBuXMDPUo6qyVECXK-ySqCfxarwiIOVrR7QgMDX61_4T4MriRH8MKAGz4pw_YCt8p4yGkVOFqCqr6gQCb7TbYlY7KRQMDozROz6WencxZ-F7Oc3qc-JPS9bsuvq-rNR_Cv9F9bQ1Isvw==)
27. [finmasters.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGF6srEuXfG0EmwTy6OV234i8sn2Jx05wGX1iKaZ1OPPENzGvQmFHr9TBB6WqzlR6AfrbROkTj15NdDS6YuNfNn_KlbqCtIisdnqNgHLcbu988mPii_4lLr0Jpj3UslyI7Gyg==)
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30. [sofi.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEQhNDX9tJSH6N0URGPFM2X-VeegxQUr2k1us4fignmD8hU4sKWTJkQXJXx3d7APFUHpsjoUQgf8wKSkaXQrnNtunOKTsd5b39Bd8Ipj8N6kieK7QvHzFonj3-BcMqFMyVnQJQef6eXv2n_TahLHMgI3FIvlGGQ6ifDRUwD_3tCVa2-4fMh)
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36. [strike.money](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGXzuvAaOCLo2U0h3hyMHcoKVA-BUYdEuw9soun6a5j74dX1pWLU7O5XKgArHPjZVkyFljb8Yj0zdcfBBR_1ujuL3CD5kx9VijQyr0_8K-ZHOf8hf-H_c6cuV_mANI7tv0xdNuhNyL-DIAQtVdhy3M5Yy-xnYR9gg==)
37. [poems.com.sg](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQF56t05NpX06KeBoOXwiPeOP78W56pBH8yhB6tDJwOCqDLZLl2870tPiTyILNn5_sXhCbx63C0UvEjCJo1RWXK2E30ND0G0BKh_H37hAcJ-6KMN01ystNk9T0IsU3iqT8N39ABKfvtmYLvTfVhQje5RlL1SCOOhUeSwG4xlp3lnijM=)
38. [blueguardian.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHQSQQv-67NKI9J_wM1vK10DSCHudaDwa_BT7R0hDjcqxNNDv6wO6pD7xjNruzT97zs-uyMPMYzy6D76MZkXrYKCOoP7VYJ_ccCPGNoT234M2VWF0vJslVmJt6Wtxpmlx9dMzDu2fXLO0LwOH0TgTmAKKYVLZJJXPVwpK7Fli5LM1NN_SjFeWKwWegut2vDuet8)
39. [kavout.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGHtfpdHFsEH21IKRV0lDIBneIul9hSIhEQ8sHwVj1FI1Mb3vRF9WCKK5hF72abv20Ts-kE9Ia1LJC6TzfjEUAFxSN5zRR4LIdHGgwAUpmjULbeN-T-GNNZyX9bchOdMMZ2h7Uo0Zv6NL1fCAho31Ty0JMglybYlP4kAzXr8B_cYwwIxnsIL6JrDHu7eqgAW8wAmfREGId0Aeggbai6iLAkmvX_EFEGfBcUFazCdO1xg5Cfn6yh-_w3RFM5cA==)
40. [fxmetagold.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEv-pbVqj7HPlulI4SnPYS3GN-HFGOEujrF9vlpnbhZdXvlbtcZ8LWIsco1DdnUruEPrnrueJo1UPaRSlmkJnKxDzIHKl99JnbcEjctffbcnvjBg_Reyby66q1N8WWBNGTj4XfSN8w=)
41. [vtmarkets.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGXtrAvk17egjKARqazV6Wi5rwlkluuS8RVMYg_gwrMiDbQNY9UfsOQhu7oYC7asESFFN3mCC3BiSPNqh25eXAufEYSvyLmWJlaWgbl4J_xjbWuaYKjIkCju5GN_JaBT64OdfpRiajh5ts_LJQQ9D6wj2clQC7_99VNmA==)
42. [admiralmarkets.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQG7M9n7Xqjp8HLRPZS8XT5tlRP7-CaxjZye--qVbdWoAN2R9bVaSMnjRWKCEwbSjDKS46SP1OvK4g7Bhktpj2i3QdUzoFtItjtVlOR4ywoC0A_VHQ-K0YBe8noWQLgQw_-0MMeJN40HYTRH6cYAsPtTdEDcbrVmuUjw6PJN1ooB0k9lhIxFXwqt4i5-1qozjDgcqRUdu6cR3llaFeo=)
43. [quora.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEVfO2rCcTkWjQhSok-8R2g4YalLQyEiy-Fwy5uaH-UqcGef3PX_4cI2fEy6S-AMGt2astas6zcrjxdRQMXoVMG7Hht5ecgOkMXvKuEJQd0mPO4hjfVQlkbPo2bIvv9_vEejrvKwb9BLWVHe_N4D3qcQ36I-2ZHZ5Fw-HIsaXGHv45IAIKJJcyOiDw340b-1WQG5ytIBC0T1eibleJ0IKpL6jgVZDr6PqXsgkdrOA2J6VL6s9MOMm-RTw4e7iyTEZ4Yh_TBkZQyNUFSUQS1UepbpTyCdSTAWe0aaZ1BFlVz3JxfjNrLKumRm37sioyKhT8Zz-rsTuEbDclLHjceOQNtIN1t9VAKaQ==)
44. [marksgroup.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHcmArwPcYLWi9HQCWsDDd7lhfWkyLeoWwaLw4DGULAJwb-U6fCUvPKY5lwZumxSJUnKRCTdONrL6Cwv-xY7V4jNnvj72s7LEnTv1aSad5EjMW2Izwwt5CwcVQgLAQrebgJbL0HSGxUl6nDTnan6jxm3zzf22GKRKgqNMq7oAKeXWK0)
45. [reddit.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEqNsaA4rSY_vNj6BnjkX0lXOFGVyn4b33wKaT6UX2zULXPZMT-ItRR9tT4llJS22k6aLm5Er_SPSx5GedvhIjoKHWDUwOR-dt2L4G_7WbzvOFQhjSWk1eD6D6484nbT6wNwpTPZlsZTQ2WOxuykgPOpHK3zLQP7YtQtcsY4NURpgmEBTITAiRYQ7Bqq9ZlKRqoDccxid0-cg==)
46. [mdmarketinsights.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGQ8T0JnF22IBOJzJtNORoc7DaQadSz8TqeQnJI6mroZP6fyWKla4TRsa5nwkof5g63Pw3nftpawips-VN25sCynjiUfRU890e4lDNVLdW-TT5ohMrL95BVHuoO8bxlpvzLTLdTohIsEqCe-s6lqIN5kwICDQ8ZY3kgE26HkTX_eFWfSQ88ZnRWyFZlLnCfqTK2fO1VOq5GvyJubGp8Cw==)
47. [businessinsider.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGP32t7lGLNlrBT7oK9tUX-urruMCEWGhF7MQreeSf4I6obj7y4Q_D142bHOFSB9g9l8l7Vat5UIpffHzfEi8uUwsYwYggSn6XmDQ9OPxlkpxt7itYV6tOZP0QvTzFtZPABku9JCSH5d0BYuFn3TfjaVPms05vb1L4PNC_0gTO8QPIxrwd4K0pbycZRd5eXEvsrazh0TX72FU9WQQGGzsXHD-0YY2Tx3ms4pdHrlEuiqIpyjMGzKkvmg_92NH-sMC8-9P6UQQ==)
48. [toptradersunplugged.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHKkW-fUPYcJnUDtMaPcb9Xzg3rLrTCKLB4-zJhmP03cYV7ILVBMYKwERGKn1342Rogqma7vSCG34vJeSiMui5Xv6FfQik_LXIkcnedVnw1vdw5hCBxDfYE7UnGCdeaKpaSoXgqonOJv_eGL584yHL_7N9tuOCQt9XZQDaCJEltDecFdIW91bcYBYopTQ==)
49. [hw.online](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHNOozIfNVJoNAGXnjex-TddjC2Q-YFIQ8bd3wy8obV_aOUF56DcQcBkETpup2aC6JxZrA-F05mTzDRsD_H2jdyS1KCDINzlMaISu-TMO-TbSMLTJ6Ogx3XEDwOAwDTjvQba0Q3sVaAixlnyro_Qx2u2gXDqIit9L4h__r0pjG4HZG-pLcGZIgZ)
50. [cfainstitute.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGvQK29WVU7GoGcJM7oTUko8ZnfB82Lbgh99W2R9-9QijEzeyEalFxjBa_RjxI4k4vLG1rsG3yypAaQSy1fdms2NZo7QOjS6i3fGVqccDmkR-9D9z0MNLRsig1PzHRbDw2MIeVbnVTA-IblA5fe12RMLK0SjYfccSAor8BNG496ZzXftMQgjT_3ZbnaHNL4teg=)
51. [advisoranalyst.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGZiDYgPwFy_CYldZreWaDjqxGF4BxBDySHW3-Cix61cUB0HFx3Ucyd1oS581sLjkEsOcYa21LplGCo3M9pCAAApdTITV4AFry9AJRp9G1n3Xou0xmhimsEroNnkRrWEDHSVBTFSk1_69ADFe3R8dKw2FHDO5fXIYLmEmP3wvnj5HjsiGgUOk5ToYgLhVFOyRs3jnaV5udriDyr)
52. [investing.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEbhKzH_fcxU799iCIJfcXsAtSvIBVeQGzu8jgSzcTeWbsBpk24XKDuCTEtghC-8huABaNUiDXTGX2Nr-UranxIoQFmszhbm6hvZy0VdCYG89cMLUSAyZd_yDR_7hHto4wbXjhTlgWwdwobcpO7EfhgAt0Bage8wuplNc15fQPiMtcKZowZOSmLeYOP5e37sMlERIQATxEdR75k1gCOK0-nu3cStyuN)
53. [commodityconversations.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGHk9cIoNkcramyDMjHEIfIKJcyxCGrga02m-DB_IyNZWyIxzP28reWLC4MVKhI_7QMNZv1Y3siAnSbj6SDPrpjTyLwOAuILZBLCCCiZWeqWd6wwNMQdHcwiQRhC4jJgsFKy2Lxubyg8JP4sAoMx-Mi-D2i824b9rLGc__zE1sDKLEB7Q5y_gVA4Yc1haW6iSoxWzlVUWlZ2hkn7QlnNA_ZSw==)
54. [vse.cz](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQE1E5LD01mwxr8O5NO3-X3wsVCoXUGqGsY3ilvS_rsPPffHQOcdDGqE46A7WqQ5JMloJnQ1vdhu8X-pG89FVrrOgPj54GrJ2NfdJe-g4nYMGrjkSigYkWdm2vTOLcRXfQ==)
55. [dukascopy.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQE1-QdHp0MXdCd1gUkQCqzzoIwD3FVMC3YeH7w12RCjPEEg3df-OEE_aGcmMYvBkCkkORYUw0AelGVjGfTo8GRQGmhGt-vVDW_et4PMmpSljIbgdiI5X9MH_PzDCp4Ba-7oxSEFIWJzETfOKNgFi83onL4Xg60I_zjSRKppIFg=)
56. [researchgate.net](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQH1mRMwgbZzBkrcXnPtb7oUA8oPZVhz3EDzYQ6Vcqkv977kajpgrlWXQYebZWh4CrDYnDmflixqcfWg0bOaECelFsA4TEddY4p_MSc06-53NK6zaDZ_FtFtLHFRv9pAj2Gqt-znIPCLCtJyQREC_b5cM8wnBy0YnXtl9XijJkgffggwcwKjiuZiizEfEaiRFPPmK6jsFKzvFEvVymbRhlf_1CEw24eF)
57. [thetradinganalyst.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHIjNq6IPsKgGeZYnRONEt2-rc4JDYAc3r7VevrkpS20S5gHjr78jQUPF_Ixxs03JEloKfCXRPHiLaKOqznbcXKuyzsIw1gtM7HAni1qdKGgo_q9fG2LF0Ntv_WRIvkqA==)
58. [upstox.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQH5A79nh5Jhpv8_yK6h_SQDSrnmzLWjsB1NnKEzUsj0wW-s9GYgjkxOH1PEAjoGbKT3oW2H_Qwh1lWqD3vi4KBlSWQOgA21gKs8L834JPr4BhREHuDhHd6ktJZDlRvlCabrjhqHeQ_aSMjs_rP2UIRleBZjp0_FeZg9Ix3zdYtUHHWgu_UzNA==)
59. [cerist.dz](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQG3F3ntYezgP9ZTt5k7AnnjS6RYElOLW_l01344KI8X8UW_Tg8-Ebw18qftohH7zDCwENy1btpmoHMKC1sHcHsJXLE6xfKdgpFBthUsKY7TrR9BJ7kapj2TxSuIVJ2NLFvnATlsIlTK9lrBjg==)
60. [scribd.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGrPTXr0jAhV4bKairl9BHZ9vTnQIBWX3f9Q8AU_y5FVKjk35ZZbV6Ia132e5QlX59qUUcj4RajKe2DGFabU7EJG0YYBm6kPP-Vh-8QOzkD-OhDdRyjIATjiy8M0BMvH5v6frcO8_-0p-RHOM6squ8jyR0txEPz03BhQK0=)
61. [princeton.edu](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFq2EBioLWPY7EFx39jm_Uuo5AQB7WxKdKTnHdAxV9Hsyx813hNp6VuAeBoDBRKM05ivKIED0vaeiSCZhSk0iY-yT0HrT_AES5jGMh9C_lOR6L5b_txxCSh44KRJcHRkHG4RUps7bJ12tJX8xSlef1-1w==)
62. [mdpi.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGdFAhSYnNRZOddGn0GJfQsRh3EUd0vdjHFHouHKsowIfAxgfr8kdvFGbQZUewVL1GMR3xrM4DbgkeMtgtkKOUygVpoafAdMKYjXqy1t9fDVgQbffTJolVxubID)