Mastering Bearish Patterns: Trade Like a ProMastering Bearish Patterns: Trade Like a Pro
Bearish patterns are critical tools for traders aiming to anticipate potential downward price movements in financial markets. Here's a complete explanation of some key bearish patterns:
1. Descending Triangle
Definition:
The descending triangle is a bearish continuation pattern that forms when the price makes lower highs while maintaining a horizontal support level. This indicates that sellers are gaining strength, and buyers are struggling to maintain the price.
Key Features:
Lower highs form a descending trendline.
A flat support line at the bottom.
Typically breaks downward when support is breached.
How to Trade:
Enter a short trade when the price breaks below the horizontal support with significant volume.
Place a stop-loss above the most recent lower high.
Target the height of the triangle projected downward from the breakout point.
2. Head & Shoulders Pattern
Definition:
This classic reversal pattern signals a shift from an uptrend to a downtrend. It consists of three peaks: a higher central peak (head) flanked by two lower peaks (shoulders) and a neckline acting as support.
Key Features:
Left shoulder, head, and right shoulder.
Neckline connects the lows of the shoulders and head.
A break below the neckline confirms the pattern.
How to Trade:
Enter a short trade when the price breaks below the neckline.
Place a stop-loss above the right shoulder.
Measure the height from the head to the neckline and project it downward for the profit target.
3. Bearish Flag Pattern
Definition:
The bearish flag is a continuation pattern that occurs after a strong downward move. The "flag" represents a period of consolidation, and the breakout typically continues in the direction of the prior trend.
Key Features:
A steep downward move (flagpole).
A parallel, upward-sloping consolidation channel (flag).
Breaks downward from the flag.
How to Trade:
Enter a short trade when the price breaks below the flag’s lower boundary.
Place a stop-loss above the flag’s upper boundary.
Target the length of the flagpole projected downward.
4. Symmetrical Triangle
Definition:
A symmetrical triangle forms when the price consolidates with lower highs and higher lows, creating a triangle shape. Though this pattern can break in either direction, it often signals a continuation of the prior trend, making it bearish in a downtrend.
Key Features:
Converging trendlines.
Price oscillates within the triangle.
Breaks in the direction of the prevailing trend.
How to Trade:
Enter a short trade when the price breaks below the lower trendline.
Place a stop-loss above the upper trendline.
Target the height of the triangle projected downward.
5. Double Top Pattern
Definition:
The double top is a bearish reversal pattern that forms after an uptrend. It features two peaks at roughly the same level, separated by a trough.
Key Features:
Two similar highs.
A neckline at the trough level.
A break below the neckline confirms the pattern.
How to Trade:
Enter a short trade when the price breaks below the neckline.
Place a stop-loss above the second peak.
Measure the height between the peaks and the neckline and project it downward for the target.
6. Up Channel Pattern
Definition:
An up channel, also known as a rising channel, is a bearish reversal pattern when it forms in a larger downtrend. The price moves within two upward-sloping parallel trendlines before breaking downward.
Key Features:
Parallel upward trendlines.
Lower lows and higher highs within the channel.
Breaks below the lower trendline.
How to Trade:
Enter a short trade when the price breaks below the lower boundary of the channel.
Place a stop-loss above the upper boundary.
Target the height of the channel projected downward.
7. Triple Top Pattern
Definition:
This bearish reversal pattern forms after an uptrend and consists of three peaks at roughly the same level, indicating that buyers are unable to push the price higher.
Key Features:
Three similar highs.
A neckline at the lowest trough between the peaks.
Breaks below the neckline to confirm.
How to Trade:
Enter a short trade when the price breaks below the neckline.
Place a stop-loss above the highest peak.
Measure the height from the peaks to the neckline and project it downward for the target.
8. Bearish Rectangle Pattern
Definition:
A bearish rectangle is a continuation pattern where the price consolidates between two horizontal levels before breaking downward.
Key Features:
Horizontal support and resistance lines.
Price oscillates within the rectangle.
Breaks below the support line.
How to Trade:
Enter a short trade when the price breaks below the support line with volume.
Place a stop-loss above the resistance line.
Target the height of the rectangle projected downward.
9. Inverted Cup & Handle Pattern
Definition:
This bearish reversal pattern resembles an upside-down cup with a handle. The "cup" forms a rounded top, and the "handle" represents a consolidation phase before the breakdown.
Key Features:
Rounded top (cup).
Slight upward-sloping consolidation (handle).
Breaks downward from the handle.
How to Trade:
Enter a short trade when the price breaks below the handle’s lower boundary.
Place a stop-loss above the handle.
Measure the height of the cup and project it downward for the target.
By mastering these bearish patterns, traders can anticipate price movements and execute informed trades with confidence. Practice identifying these patterns on charts and combine them with other technical tools for optimal results.
Community ideas
COFORGE Options Trading Strategy: Breakout and Momentum-BasedIn this post, we’ll explore a couple of options strategies for COFORGE using the data for strike price 9000 . By closely monitoring the price action and key option data, we can make informed decisions that align with market trends. Here’s how we can approach trading this stock’s options effectively:
Key Option Data Breakdown
Call Short Covering: Indicates that the market sentiment is bullish as traders are closing their call positions, signaling a potential upward movement.
Put Writing: A strong sign of bullishness as traders are actively writing puts, expecting the price to stay above the 9000 strike.
Call and Put LTP (Last Traded Price):
Calls LTP: 278.8 (indicating that calls are gaining traction).
Puts LTP: 100.7 (a lower LTP for puts suggests lower demand).
Open Interest (OI) and Change in OI:
Calls OI Change: -47,850 (indicating a reduction in call positions due to short covering).
Puts OI Change: +123,975 (signifying an increase in put writing, which reinforces the bullish sentiment).
Strategy 1: Buying the Call or Put Based on the First 5-Minute Candle
This strategy involves observing the price movement in the initial 5 minutes after the market opens and deciding whether to buy a call or put, depending on the price action and option data.
When to Buy the Call or Put:
If the first 5-minute candle shows a bullish move, consider buying the call option as the market sentiment appears to be in favor of upward movement.
If the first 5-minute candle shows a bearish move, consider buying the put option. However, given the overall data showing strong put writing, this could be less likely.
Why It Works:
The first 5 minutes are crucial for gauging market sentiment, and with the data indicating strong bullishness (due to call short covering and put writing), a call option is likely to perform well.
Considerations:
This strategy requires watching for clear momentum during the first 5 minutes. If the market remains indecisive, it may be better to stay on the sidelines to avoid wasting premium.
Strategy 2: Breakout Strategy – Buy Calls or Puts on the Break of Highs
This strategy involves waiting for a breakout of the call or put’s high price. The breakout indicates a shift in momentum, and we’ll enter the trade based on whichever direction triggers first.
When to Buy the Call:
Watch for the call’s high price (389.85). If the call option breaks this level, it signals that the upward momentum is gaining strength. Buy the call to capitalize on the breakout.
When to Buy the Put:
If the call option doesn’t break its high and the price starts to show weakness, consider buying the put once it breaks its high (360.6). However, the data suggests that the market bias is bullish, so a call breakout is more likely.
Why It Works:
Breakouts are powerful signals of market momentum. Since the data shows heavy put writing, the call option is more likely to break its high first. This creates an opportunity to buy calls in a bullish trend.
Considerations:
Always monitor the volume and the price action for confirmation of the breakout. If both calls and puts test their highs without clear direction, consider waiting for a clearer signal.
Conclusion:
Given the strong bullish sentiment reflected in the options data—call short covering and put writing—the most reliable strategy is Strategy 2. Watch for a call breakout above 389.85 or a put breakout above 360.6 (if the call fails to break its high). The bullish bias suggests that the call option is more likely to outperform, but a breakout in either direction can trigger the strategy.
Pro-Tip: Set a stop loss just below the breakout level to manage risk effectively. The market sentiment is heavily tilted towards bullishness, so a call option breakout is the most probable outcome.
How To Navigate: Breakouts with Tools, Indicators & StrategyHaving a Clear and Precise understanding of whether you're dealing with a Breakout or False Breakout can help you:
1) Find potentially profitable opportunities
&
2) Avoid making risky investment moves!
Also knowing how to Confirm Trend Change can:
1) Rise probability of profitable trades
&
2) Limit the total # taken!
So today, I lay out the tools, indicators and tips I use to visualize and to make a decision!
Examples:
COINBASE:XLMUSD & BITSTAMP:XRPUSD
Tools:
- Trendline
- Parallel Channel
- Rectangle
Indicators:
- Volume
- RSI
- "True or False" Formula : Close + 20-25% Break + 5-6 Days Outside of Break = Breakout
Mastering the Indecision Candle Strategy: Trade with MomentumHave you ever wondered how to spot high-probability trade setups that align with momentum and can quickly deliver solid risk-to-reward ratios? 📊
Candlesticks are one of the most critical tools for traders, second only to volume. Today, I’m sharing one of my go-to setups— the Indecision Candle Strategy —a momentum-based approach that I personally use in my trades. This strategy is built around recognizing indecision candles formed during the second wave of price movement. Let’s dive into how this strategy works, the rules for executing it, and some real market examples.
🔍 What is the Indecision Candle Setup?
The indecision candle forms during the second wave of a price movement and reflects a tug-of-war between buyers and sellers. Here's how to identify it:
- In an uptrend:
The lower shadow of the candle is ≥ 1.5x the body size, indicating strong buyer presence.
The upper shadow is smaller than the body, showing limited seller pressure.
- In a downtrend:
The upper shadow is ≥ 1.5x the body size, showing strong seller dominance.
The lower shadow is smaller than the body, reflecting weak buyer activity.
This setup gains its edge by combining candlestick analysis with momentum indicators, such as the SMA (7), to confirm the strength of the trend.\
Rules for Trading the Indecision Candle Setup
This strategy is momentum-based and requires discipline to follow these specific rules:
📈 Uptrend Setup
1.Candle Characteristics:
Green candle: Lower shadow is at least 1.5x the body size.
Upper shadow is smaller than the body.
2.Momentum Confirmation:
The SMA (7) is below the candle, sloping upward, and either touching or slightly below the shadow.
3.Entry:
Use a stop-buy order above the upper shadow of the candle.
4.Stop-Loss:
Place your stop-loss below the lower shadow or at the SMA if it's slightly below.
5.Ideal Conditions (Optional):
Low volume or momentum before the setup, but this isn’t mandatory.
📉 Downtrend Setup
1.Candle Characteristics:
Red candle: Upper shadow is at least 1.5x the body size.
Lower shadow is smaller than the body.
2.Momentum Confirmation:
The SMA (7) is above the candle, sloping downward, and either touching or slightly above the shadow.
3.Entry:
Use a stop-sell order below the lower shadow of the candle.
4.Stop-Loss:
Place your stop-loss above the upper shadow or at the SMA if it's slightly above.
5.Ideal Conditions (Optional):
Low volume or momentum before the setup, but this isn’t mandatory.
Optimize Entries:
For both uptrend and downtrend setups, consider using the order book to refine your entry and stop-loss levels. This can improve your precision and reduce risk.
🎯 Real-World Example from the Market
Let’s look at a real example:
1.Scenario: Second wave of a downtrend.
2.Candle Setup:
- Red candle with a large upper shadow (≥ 1.5x body size).
- Strong bearish momentum confirmed by the SMA (7) sloping downward and positioned above the body.
3.Trade Setup:
4.Entry: A stop-sell order placed below the lower shadow.
5.Stop-Loss: Above the upper shadow.
Why it Works:
The bearish momentum combined with the indecision candle's characteristics creates a high-probability setup for continuation in the downtrend.
Key Tips for Success
Backtesting is Essential:
Before applying this strategy in a live account, ensure you backtest it thoroughly across multiple markets and timeframes. This will help you gain confidence and understand its performance in different conditions.
Risk Management:
Stick to your capital management plan. Avoid risking more than 1-2% of your account per trade.
Never chase the market out of FOMO (Fear of Missing Out).
Ignore Noise During News Events:
If the market creates large wicks or volatile candles due to news, focus on candles before and after the event for clarity.
The Indecision Candle Strategy is a powerful tool for capturing momentum-driven moves with high risk-to-reward ratios. However, like any strategy, it requires patience, discipline, and proper backtesting before use.
💬 Have you used similar candlestick strategies in your trading? Share your experiences and let’s discuss in the comments!
I’m Skeptic , here to simplify trading and share actionable strategies to help you grow as a trader. Let’s master the markets together !
Trading EURUSD and NZDUSD | Judas Swing Strategy 17/01/2024Last Friday was an exciting day trading the Judas Swing strategy! We were fortunate to spot two solid opportunities, one on EURUSD and the other on NZDUSD. Both trades presented similar setups, and once they ticked all the boxes on our trading checklist, we didn’t hesitate to execute. In this post, we’ll walk you through the entire process, from setup to outcome and share key insights from these trades.
By 8:25 EST, we were at our trading desk, prepping for the session to kick off at 8:30 EST. During that brief wait, we marked our trading zones and patiently watched for liquidity resting at the highs or lows of the zones to be breached. It didn’t take long, NZDUSD breached its low within 20 minutes, while EURUSD followed suit just 40 minutes into the session. With the liquidity sweep at the lows complete, we quickly shifted our focus to spotting potential buying opportunities for the session ahead.
Even though we had a bullish bias for the session, we never jump into trades blindly. Instead, we wait for confirmation—a break of structure to the upside, accompanied by the formation of a Fair Value Gap (FVG). A retrace into the FVG serves as our signal to enter the trade. On this occasion, both currency pairs we were monitoring met these criteria perfectly. All that remained was for price to retrace into the FVG, setting us up to execute the trade with confidence.
Price retraced into the FVG on both EURUSD and NZDUSD, meeting all our entry requirements. We executed the trades risking 1% on each setup, putting a total of 2% on the line. Our target? A solid 4% return. The setup was clear, the risk was calculated, and we were ready to let the trades play out
After executing the NZDUSD trade, it was pure momentum—zero drawdown as the trade went straight into profit without hesitation. The same was true for EURUSD, which also faced minimal to no drawdown and quickly hit our take-profit target. Both trades wrapped up in just 25 minutes, netting us a solid 4% return. These are the kinds of sniper entries traders dream of!
But let’s be real, trading isn’t always this smooth. There will be times when you face deep drawdowns and even losses. The key is ensuring your strategy wins more often than it loses. And if your losses outweigh your wins, make sure your winners are big enough to cover those losses. Consistency and proper risk management are what keep traders in the game for the long haul
Blockchain - How it works - Understanding Blockchain TransactionUnderstanding Blockchain Transactions 📊🔗
1. Transaction Begins 💸You decide to send some cryptocurrency, sign a digital contract, or transfer an NFT. It all starts with your intent!
2. Broadcast to the Network 🌐Your transaction is sent out to the blockchain's peer-to-peer network, where thousands of nodes (computers) can see it.
3. Nodes to the Rescue 🤖These nodes validate your transaction using cryptographic checks and consensus rules. They're like digital watchdogs!
4. What Can You Transact? 💰📜🎨From cryptocurrencies to smart contracts, or even digital art, blockchain can handle various digital assets.
5. Into the Block We Go 📦Validated transactions are bundled into blocks. Think of each block as a secure container of transactions.
6. Sealed and Secure 🔒Once added to the blockchain, the block becomes part of an immutable ledger. It's like locking your transaction in a digital vault.
7. Chain Reaction ⛓Each new block connects to the last, forming the chain we call "blockchain".
8. Transaction Confirmed 🏁Your transaction is now officially part of the blockchain, recognized by all participants as final.
Remember:
Speed Varies: Depending on the blockchain, confirmation can take seconds or minutes.
Costs Involved: Transaction fees can fluctuate based on network congestion.
Consensus Powers: Different blockchains use methods like Proof of Work or Stake to agree on the chain's state.
This is your basic journey through a blockchain transaction! Whether you're trading, investing, or just curious, understanding this can give you a clearer picture of where your digital assets travel.
Bitcoin Halving: Meaning and Implications for TradersBitcoin Halving: Meaning and Implications for Traders
Bitcoin halving is one of the most anticipated events in the crypto world, dramatically altering the supply dynamics of the leading digital asset. By reducing the rate at which new Bitcoin is created, halvings play a key role in its scarcity and long-term value. This article explores what Bitcoin halving means, how it works, and its potential implications for BTC and the broader financial market.
What Is Bitcoin Halving?
In crypto, a halving refers to an event that slashes rewards transaction validators receive for their efforts. Most well-known is the Bitcoin halving, a built-in mechanism in Bitcoin’s code that cuts the reward miners receive for validating transactions and securing the network by half.
Bitcoin's halving is closely tied to the structure of its blockchain. Miners earn rewards by solving complex cryptographic puzzles, which allows them to add a new block to the blockchain. Each block acts as a container for transaction data and serves as a building block in the blockchain, forming a secure, chronological chain of records. However, the reward miners receive for adding a block is not fixed—it is reduced by half every 210,000 blocks. This mechanism ensures Bitcoin's supply remains limited to a maximum of 21 million coins.
Bitcoin’s software has a built-in mechanism for halving, meaning it operates without external control. This decentralised approach means no individual or organisation can alter the next BTC halving date. Each block takes about 10 minutes to mine, meaning a Bitcoin halving event occurs roughly every four years.
After Bitcoin launched in 2009, miners received 50 BTC for each block. Since then, there have been four halvings: in 2012, the reward dropped to 25 BTC, in 2016 to 12.5 BTC, and in 2020 to 6.25 BTC. By the Bitcoin split in 2024, the reward for validating transactions had dropped to just 3.125 BTC.
When the reward is halved, miners face a significant shift in their revenue model. Their costs for electricity, hardware, and maintenance remain the same, but the number of Bitcoins they earn per block drops. This can force miners to rely more on transaction fees—paid by users who want their transactions processed quickly—or to scale operations with more efficient equipment to stay competitive.
This reduction affects more than just miners. As seen in the Bitcoin halving chart above, it tightens incoming supply. Simultaneously, demand often remains steady or grows, creating conditions that have historically preceded significant price movements. However, halving doesn’t directly alter the network’s functionality—transactions continue as usual.
When is the next Bitcoin halving? The upcoming Bitcoin halving cycle is forecasted in 2028, reducing the reward for transaction validation to 1.5625 BTC.
What Happens After Bitcoin Halving?
Bitcoin halving events often create ripple effects across the entire ecosystem, and historical trends provide valuable insights into what typically follows. One of the most notable outcomes has been significant price volatility. After previous halvings in 2012, 2016, and 2020, Bitcoin experienced substantial price increases within the following 12-18 months. For instance:
- Bitcoin Halving 2012: BTC rose from about $12 to over $1,000 within a year.
- Bitcoin Halving 2016: It increased from $650 to roughly $20,000 by late 2017.
- Bitcoin Halving 2020: BTC surged from $8,000 to an all-time high of over $60,000 in 2021.
That stands true for the Bitcoin halving in 2024. Bitcoin price after halving in 2024 rose from around $64,000 in April to almost $100,000 in November. Explore BTC’s movements post-halving with live Bitcoin CFD charts in FXOpen and TradingView.
Market sentiment tends to shift sharply around halving events. Increased media coverage highlights the reduced supply rate, often drawing retail traders and new participants into the market. This heightened attention can lead to speculative trading, with traders positioning themselves in anticipation of price changes. However, this speculation also increases short-term volatility, as not all price movements reflect genuine demand.
In the long run, halving events have reinforced Bitcoin’s standing as a deflationary asset. Reduced supply growth can contribute to higher valuations, provided demand remains consistent or increases. Institutional participants, including investment funds and corporate treasuries, often use halving as a rationale for deepening their Bitcoin holdings. These organisations view Bitcoin’s scarcity model as a hedge against inflation or a unique store of value, further boosting demand after halvings.
That said, some analysts argue that the halving effect is less pronounced over time. Since halvings are widely known, they claim the event is "priced in" as traders factor it into their strategies well in advance. Rather than an immediate spike, it can take several months or longer for the historical pattern of price increases to materialise.
Broader Implications for the Crypto Market
BTC halving events don’t just impact Bitcoin, they often send ripples throughout the entire cryptocurrency market. As Bitcoin dominates the market in terms of value and influence, its performance post-halving can set the tone for other digital assets. Historically, when Bitcoin experiences a price surge after a halving, altcoins tend to follow suit as investor confidence and liquidity increase across the sector.
This isn’t purely speculative. Increased attention to Bitcoin during halving events often draws new participants into the market. Some, intrigued by Bitcoin’s supply narrative, also explore alternatives like Ethereum or other blockchain projects. This heightened activity can lead to innovation within the space, as projects aim to capitalise on the influx of interest.
Halving events also tend to highlight the decentralised nature of blockchain systems, reinforcing the economic models behind many cryptocurrencies. Investors and developers often revisit the mechanics of other coins, such as those with their own deflationary models or differing consensus mechanisms, sparking new discussions about long-term value.
Additionally, Bitcoin halvings often coincide with periods of increased media coverage and regulatory scrutiny. Governments and institutions are likely to evaluate their stance on cryptocurrencies during these high-visibility events, potentially influencing adoption rates and legislative developments across the industry.
Risks and Challenges Surrounding Bitcoin Halvings
While Bitcoin halvings are often associated with excitement and long-term potential, they also come with their share of risks and challenges. These events can create significant uncertainties, not just for Bitcoin but for the broader market.
Increased Volatility
Halvings frequently spark increased speculation, resulting in significant price fluctuations. Traders positioning themselves ahead of a halving can cause sudden surges, but profit-taking afterwards might lead to equally rapid declines. This volatility can make short-term market conditions challenging to navigate.
Speculative Bubbles
The media hype around halvings often attracts inexperienced traders chasing quick returns. This influx of speculation can inflate prices beyond sustainable levels, increasing the risk of market corrections once the excitement fades.
Potential Market Saturation
Critics argue that the halving narrative may lose impact over time as the market matures. With halvings widely anticipated, their effects might be increasingly priced in, reducing their influence on Bitcoin’s value.
Regulatory Attention
Halvings tend to amplify Bitcoin’s visibility, which can invite heightened scrutiny from regulators. Unclear or restrictive regulatory developments during or after a halving could dampen market sentiment.
The Bottom Line
Bitcoin halving is a key event that influences the supply, demand, and pricing trends within the cryptocurrency market. Its implications reach beyond Bitcoin, influencing the broader ecosystem and potential trading opportunities. Whether you're analysing historical trends or exploring market sentiment, halvings remain essential to understanding Bitcoin's unique economic model. To trade Bitcoin CFDs and take advantage of potential market opportunities in other cryptocurrencies, consider opening an FXOpen account today and trade with tight spreads, low commissions, and a wide range of technical analysis tools.
FAQ
What Does Bitcoin Halving Mean?
Bitcoin halving is an occurrence where the payout miners earn for validating transactions on the network is slashed in half. There’s a Bitcoin halving every 4 years, or after 210,000 blocks are mined, designed to control Bitcoin’s supply. By reducing the issuance of new coins, halving ensures BTC remains scarce, with a maximum supply capped at 21 million.
When Was the Last Bitcoin Halving?
The last Bitcoin halving was in April 2024. After the halving, payouts decreased from 6.25 BTC to 3.125 BTC per successful block validation.
What Happens When Bitcoin Halves?
When Bitcoin halves, the rate at which new coins enter circulation decreases. This often impacts supply dynamics, miner revenues, and market sentiment. Historically, these milestones have been followed by increased price activity, heightened volatility, and greater media attention.
Will BTC Go Up After Halving?
Historically, Bitcoin’s price has risen in the months and years following a halving. However, while past performance shows this trend, the market’s future behaviour depends on factors such as demand, adoption, and broader economic conditions.
When Is the Next Halving of Bitcoin?
So when will Bitcoin halve again? The upcoming BTC halving is anticipated around April 2028. At that point, the payout for validating transactions will fall from 3.125 BTC to 1.5625 BTC.
At FXOpen UK, Cryptocurrency CFDs are only available for trading by those clients categorised as Professional clients under FCA Rules. They are not available for trading by Retail clients.
Trade on TradingView with FXOpen. Consider opening an account and access over 700 markets with tight spreads from 0.0 pips and low commissions from $1.50 per lot.
This article represents the opinion of the Companies operating under the FXOpen brand only. It is not to be construed as an offer, solicitation, or recommendation with respect to products and services provided by the Companies operating under the FXOpen brand, nor is it to be considered financial advice.
Fractal Phenomenon Proves Simulation Hypothesis?The humanity is accelerating towards the times when virtual worlds will get so realistic that their inhabitants gain consciousness without realizing they exist in a simulation. The idea that we might be living in a simulation was widely introduced in 2003 by philosopher Nick Bostrom. He argued that if the civilization can create realistic simulations, the probability that we are living in one is extremely high.
Modern games only render areas that the player is observing, much like how reality might function in a simulation. Similarly, texture of game environments update as soon as they are viewed, reinforcing the idea that observation determines what is rendered.
QUANTUM MECHANICS: The Ultimate Clue
Quantum Mechanics challenges our fundamental understanding of reality, revealing a universe that behaves more like a computational process than a physical construct. The wave function (Ψ) describes a probability distribution, defining where a particle might be found. However, upon measurement, the particle’s position collapses into a definite state, raising a paradox: why does the smooth evolution of the wave function lead to discrete outcomes? This behavior mirrors how digital simulations optimize resources by rendering only what is observed, suggesting that reality itself may function as an information-processing system.
The Born Rule reinforces this perspective by asserting that the probability of finding a particle at a given location is determined by the square of the wave function’s amplitude (|Ψ|²). This principle introduced probability into the very foundations of physics, replacing classical determinism with a probabilistic framework. Einstein famously resisted this notion, declaring, “God does not play dice,” yet Quantum Mechanics has since revealed that randomness and structure are not opposing forces but intertwined aspects of reality. If probability governs the fabric of our universe, it aligns with how simulations generate dynamic outcomes based on algorithmic rules rather than fixed physical laws.
One of the most striking paradoxes supporting the Simulation Hypothesis is Schrödinger’s Cat, which illustrates the conflict between quantum superposition and observation. In a sealed box, a cat is both alive and dead until an observer opens the box, collapsing the wave function into a single state. This suggests that reality does not exist in a definite form until it is observed—just as digital environments in a simulation are rendered only when needed.
Similarly, superposition demonstrates that a particle exists in multiple states until measured, while entanglement reveals that two particles can be instantaneously correlated across vast distances, defying classical locality. These phenomena hint at an underlying informational structure, much like a networked computational system where data is processed and linked instantaneously.
Hugh Everett’s Many-Worlds Interpretation (MWI) takes this concept further by suggesting that reality does not collapse into a single outcome but instead branches into parallel universes, where each possible event occurs. Rather than a singular, objective reality, MWI posits that we exist within a constantly expanding system of computational possibilities—much like a simulation running countless parallel computations. Sean Carroll supports this view, arguing that the wave function itself is the fundamental reality, and measurements merely reveal different branches of an underlying universal structure.
If our reality behaves like a quantum computational system—where probability governs outcomes, observation dictates existence, and parallel computations generate multiple possibilities—then the Simulation Hypothesis becomes a compelling explanation. The universe’s adherence to mathematical laws, discrete quantum states, and non-local interactions mirrors the behavior of an advanced simulation, where data is processed and rendered in real-time based on observational inputs. In this view, consciousness itself may act as the observer that dictates what is “rendered,” reinforcing the idea that we exist not in an independent, physical universe, but within a sophisticated computational framework indistinguishable from reality.
Fractals - Another Blueprint of the MATRIX?
Price movements wired by multi-cycles shaping market complexity. Long-term cycles define the broader trend, while short-term fluctuations create oscillations within that structure. Bitcoin’s movement influencing Altcoins exemplifies market entanglement—assets affecting each other, much like quantum particles. A single event in a correlated market can ripple across the entire system like in Butterfly effect. Just as a quantum particle exists in multiple states until observed, price action is a probability field—potential breakouts and breakdowns coexist until liquidity shifts. Before a definite major move, the market, like Schrödinger’s cat, remains both bullish and bearish until revealed by Fractal Hierarchy.
(Model using Weierstrass Function )
A full fractal cycle consists of multiple oscillations that repeat in a structured yet complex manner. These cycles reflect the inherent scale-invariance of market movements—where the same structural patterns appear.. By visualizing the full fractal cycle:
• We observe the relationship between micro-movements and macro-structures.
• We track the transformation of price behavior as the fractal unfolds across time.
• We avoid misleading interpretations that come from looking at an incomplete cycle, which may appear random or noisy
From Wave of Probability to Reality
1. Fractal Probability Waves – The market does not move in a straight line but rather follows a probabilistic fractal wave, where past structures influence future movements.
2. Emerging Reality – As the price action unfolds, these probability waves materialize, turning potential fractal paths into actual price trends.
3. Scaling Effect – The same cyclical behavior repeats at different scales (6H vs. 1W in this case), reinforcing the concept that price movements are self-similar and probabilistically driven.
If psychology of masses that shapes price dynamics is governed by mathematical sequences found in nature, it strongly supports the Simulation Hypothesis
Do you think we live in a simulation? Let’s discuss in comments!
An Educational Journey into Technical Analysis with Dogecoin/USDIn this tutorial, we'll dive deep into the art of technical analysis using the Dogecoin USD chart as our canvas. You'll discover how to blend Fibonacci tools, Elliott Wave Theory, and the Wyckoff Method to forecast potential market movements. Whether you're new to trading or looking to refine your analytical skills, this guide will provide you with practical insights into identifying entry and exit points, understanding market phases, and preparing for future trends. Let's embark on this educational journey together to enhance your trading strategy toolkit.
When in doubt, Zoom Out!
Below I was looking at Arguments for a Significant Short Position Before the Continuation of the Bullish Trend and the Pursuit of New All-Time Highs
Elliott Waves: From the bear market bottom at 4.5 cents, we started wave 1 and concluded with wave 5 at the current top. Following five waves, we expect an ABC correction. Waves A and B have been completed, and we are now in wave C.
Fibonacci 1: Trend-Based Fibonacci Extension - From the all-time high (ATH) to the recent bear market bottom, then to the current 48-cent top. The 0.382 Fibonacci level suggests a target of 0.2130 for the upcoming drop, which I believe is necessary for liquidity ahead of the next upward movement.
Fibonacci 2: Regular Fibonacci Retracement - From the bottom of wave 4 to the top of wave 5, the 0.618 level is at 0.235 cents. I've marked a green box between these two targets.
See in the image below how Backtesting this strategy on the two previous cycles shows that before breaking ATHs, Dogecoin always hit this 0.382 Fib level!
I use these 2 Fibonacci targets to place the green box between them and where I expect price to go in the newxt couple of weeks.
Additional Observation: The green line below the 0.618 Fib retracement and above the 0.382 trend-based Fibonacci extension also marks a retest of the wave 3 high at 0.23 cents.
Now that we've examined the macro perspective, let's Zoom In to the current action:
Wyckoff Schematic: Check my previously published idea on Bitcoin, linked here, where Bitcoin is in a Wyckoff Distribution Schematic #1. Dogecoin seems to follow with Wyckoff Distribution Schematic #2. I've added vertical lines for phase separation, a red resistance box, and a green support box.
Link to Richard D. Wyckoff, his Method and Story www.wyckoffanalytics.com .
ABC Pattern: Wave A from top to bottom is exactly 0.222 cents or -45.81%, suggesting wave C should be of similar magnitude. Wave B measures 0.1724 cents and 65.65% to the upside. Using an arrow tool, the 0.222 cent drop points exactly to the 0.382 Fibonacci target from the trend-based extension we did in the macro analysis, now highlighted in yellow. Link to chart.
Zooming in on the 4-hour Chart: I've drawn another Fibonacci retracement just for wave B, colored in turquoise blue. Notably, the 1.272 Fibonacci extension aligns with our macro 0.382 Fibonacci target, now colored yellow for clarity.
Speculations for Future Moves:
Fibonacci Circle and bottom timing prediction: Drawn from A to B, this circle in orange might help us predict when we hit the green box target at the bottom. Considering that the A drop measures exactly 12 days and 4Hours I have added another vertical line now marking a timeframe of 5 days from Thursday 30 January to Monday 3 February 2025 This is speculative but worth watching. It includes also a weekend so a CME gap before weekend plus filling the week after could also be in play.
Wyckoff Phases: According to earlier discussions, we're moving through phases A to E. I've added a vertical line where the Fib circle crosses our 1.272 and 0.382 Fib levels, suggesting we'll enter phase E on January 23, 2025, potentially concluding by February 2, 2025.
Predictive Arrows: Blue arrows indicate possible future price movements based on current patterns.
After hitting our target, I'll analyze again and publish a new idea with plans for breaking the ATH and targets for the anticipated bull market.
Enough for now, as it's getting late. Give me a follow, share if you liked this analysis, and stay tuned for updates.
Bollinger Bands — Enhanced Classic Tool for Technical AnalysisBollinger Bands — Enhanced Classic Tool for Technical Analysis
Bollinger Bands are a classic technical analysis tool designed to identify short-term trends and gauge market volatility. We’ve upgraded their functionality to make them even more intuitive and precise for trading decisions.
What’s New in Our Bollinger Bands:
Color-Coded Trend Identification
The band color automatically shifts with short-term trend reversals. This allows traders to quickly spot trend direction and decide when to enter trades.
Band Width
Reflects current volatility levels and price momentum. Narrow bands signal consolidation (accumulation/distribution), while wide bands indicate high volatility and potential trend initiation.
Dynamic Support & Resistance Levels
The outer bands, calculated as standard deviations from the moving average, act as dynamic reference points for entry and exit levels.
Gradient Zones
The bands are divided into four gradient zones, highlighting optimal areas for position sizing. Buy near the lower zones, sell near the upper zones—simple yet effective.
How to Use Bollinger Bands in Trading:
1. Identify Short-Term Trends
Bullish Trend: Green bands signal a bullish market.
Bearish Trend: Red bands indicate bearish sentiment.
2. Assess Volatility & Choose Strategies
Wide Bands: High volatility, strong trend initiation. Consider breakout strategies.
Medium Bands: Range-bound markets. Trade bounces from band boundaries.
Narrow Bands: Consolidation (accumulation/distribution), often preceding strong price impulses.
Pro Tip: A sharp band contraction often precedes explosive price movements.
Volatility Assessment Examples
High Volatility + Trend:
Wide band expansion signals a strong bullish trend (green bands).
Medium Volatility + Range:
Moderate band width and frequent color shifts suggest choppy markets—ideal for boundary bounce trades.
Low Volatility + Breakouts:
A narrow band breakout (green bands) confirms a strong bullish impulse.
Trading Bounces from Band Boundaries
Prices tend to revert to the moving average (midline). This makes Bollinger Bands a powerful tool for swing traders:
Lower Band (Support): Oversold zone—consider long positions.
Upper Band (Resistance): Overbought zone—consider short positions.
Bounce trades work best in sideways markets or unclear trends. Avoid bounce strategies during band expansion (new trend formation).
Example Trades
Short on Upper Band Rejection:
Price stalls at the upper band in a bearish macro trend, offering a high-probability short entry.
Long on Lower Band Rebound:
Price bounces from the lower band in a bullish macro trend, confirming a long opportunity.
Additional Confirmation Tips
Combine Bollinger Bounce signals with:
Midas Multi-Indicator: Whale activity detection, trend ribbon reversals.
Oscillator Overextension: RSI, Stochastic, or MACD divergence.
Price Momentum: Volume spikes or candlestick patterns.
Refine entries by aligning band signals with broader market context and multi-timeframe analysis.
One set up, less chart time, more RRLet me take you down a rabbit whole and show you a strategy with a high win rate conviction. High risk to reward. Consistency and less chart time.
Pros: high win rate, 2rr plus consistency, less chart time, systematic approach. Less entry's better reward.
Cons: if you use funding accounts & they don't allow weekend, over night, or news trading this is not for you. Trades can be between 2 to 5 days if using higher time frames. Eg daily.
This strategy is based on a set of checks on a check list that needs to be confirmed in order to take entry. Building confluence and a stronger trade set up. If caught on 4 hr or daily it allows a swing trade, with multiple scaling in trades with shorter duration on smaller time frames like 15 min and 1 hr. Let's break down the check list and show some break downs.
The checklist
1. Is the higher time frames moving in the direct of your entry?
First you analyze higher time frames. Determin if over all trend and market structure is bullish or bearish. We will be trading the Continiuation of structure. Eg if bullish we looking for buys.
2. Has there been a break of structure leaving an imbalance?
We want to look for a break of structure to comfirm the bullish or bearish bias, leaving an imbalance (fvg). This gives us a retracement point to retest along with more confluence as the imbalance is likely to be filled.
As part of this strat we will be using fib retracement tool with the settings 0.5 and 0.618 only. This is the golden zone our entry's will be based on the 0.618, or golden zone. Stoploss the base of fib, take profit the high of fib.
Example one: bullish
Weekly time frame showing higher highs and higher lows bullish market structure.
Daily time frame showing a break of structure to the upside. Showing bullish continuation making a new high. Leaving a imbalance to fill. Seeing a retracement we take the low to the high. Giving us our trade set up.
Trade complete minimum draw down, creating a new high. Now with the same bullish bias looking for buys. Let's take a look inside the trade on a smaller time frame and apply the same principles.
1 hr time frame Example
Example 2 5 min time frame
Example 2 bearish
Weekly showing bearish market structure
Daily created a break of structure to the down side, leaing an imbalance.
1 hr time frame Example
1 hr time frame Example 2
Combining multiple confluences like support and resistance levels, order blocks, pivotd and trend lines ect. It can provide a strong trade setup string. Each confluence acts as a confirmation of the others, increasing the likelihood of a successful trade. By stacking these confluences together, traders can build a comprehensive analysis and increase the effectiveness of their trading decisions.
Notes on the Correct Use of Technical IndicatorsTrend Indicators : Moving Averages, Ichimoku Cloud, Bollinger Bands, Keltner Channels.
Oscillator Indicators: MACD, RSI, Stochastic, DMI, Fisher Transform.
All these instruments were created to recognize points of equilibrium and disequilibrium (inflection points) in the market. Essentially, they are tools designed to detect the optimal times to buy or sell. The profession of trading can be summarized as follows: people creating theories, tools, indicators, and systems to know when to buy and sell based on the historical record of price.
Keys to Using Technical Indicators
1-Indicators Do Not Predict the Future
Indicators alone lack predictive capability; they are just mathematical formulas based on historical data. However, their correct or incorrect use can significantly impact your success rate.
2-The Importance of Harmony with Price Structure
If your tools or indicators do not show a clear and harmonious pattern aligned with the price structure, you are probably making decisions based on randomness. Avoid erratic movements.
3-Using Trend Indicators Correctly
These indicators detect trends and points of continuity. Your success rate will increase if you avoid looking for trend reversals with them, unless there is a structural or historical pattern in a higher timeframe that justifies such a reversal.
4-Resolving Contradictory Readings
If an indicator shows contradictory readings across various timeframes, give more weight to those harmoniously aligned with the historical price structure.
5-Risk-Reward Ratio
When price fluctuations aligned with your indicators show a risk-reward ratio of at least 1:2, the probability of success in your trades increases, attracting more participants.
6-Conflicting Signals
When trend indicators and oscillators in the same timeframe send contradictory signals, the market is uncertain. Consider moving to a higher timeframe for clarity or avoid entering at that timeframe.
7-Indicator Confluences
Confluences of indicators of the same type in one timeframe do not add value since the signals will be very similar. Aligning multiple indicators does not necessarily improve your success rate.
8-Reversal Signals in Oscillators
Divergences in oscillators show weakness in price action but do not justify a trend reversal unless there is an aligned historical structure or pattern.
9-20-day Moving Average
It is the most used indicator by investors due to its accuracy in revealing trend strength and equilibrium points. It's fundamental in indicators like Bollinger Bands, Donchian Channels, and Keltner Channels.
10-Price Action vs. Technical Indicators
You can make good decisions based solely on price action, but not solely on technical indicators.
Practical Examples:
•MACD : The more erratic, the more randomness. In a trend, if it accompanies continuations harmonically, its predictive capability increases, identifying reliable inflection points.
•Ichimoku Cloud: Useless in range-bound markets; its function is to show strong trends and equilibrium zones.
•EMA 20: If the price reacts strongly when touching it in a trend, it is likely that many market participants are watching it, making it an opportunity zone.
•Crosses of Moving Averages and MACD: If the 20-day and 50-day moving averages cross above a declining price while the MACD crosses upwards, it indicates a contradictory signal of market doubt.
Conclusions:
No single indicator is superior by itself; all have strengths and weaknesses. The key lies in how, where, and when to interpret their signals. Avoiding randomness by relying on structure and historical records improves your success rate.
Remember to study more about mass psychology than psychotrading, do not buy courses (especially scalping courses), respect the ancients, and above all, question everything except your own capabilities.
Using Volume to Validate Market MovesVolume is one of those metrics that often sits quietly at the bottom of your chart, unnoticed by many traders. Yet, it plays a critical role in understanding the market’s behaviour. Think of volume as the fuel behind price movements—without it, even the most promising breakout can fizzle out. But, just like with fuel, more isn’t always better.
Today, we’re focusing on the simple volume histogram that appears at the bottom of most charts. While there are countless indicators built around volume—like On-Balance Volume (OBV) or the Volume-Weighted Average Price (VWAP)—the histogram is a straightforward, effective tool for gauging participation in the market. Let’s explore how to use it, how to put volume into context, and how it behaves with different price patterns, including the concept of volume divergence.
Simple Volume Histogram
Past performance is not a reliable indicator of future results
Why Volume Matters (and Why More Isn’t Always Better)
Volume measures how many shares or contracts change hands during a given period. When volume spikes, it signifies heightened interest—buyers and sellers actively engaging. However, it’s not as simple as “more volume equals better signals.”
For instance, a breakout on high volume often reflects strong conviction, but it can also indicate exhaustion at the end of a trend. Conversely, a low-volume breakout might lack the interest needed to sustain the move. Understanding the relationship between volume and price action is key to avoiding false signals.
A Simple Trick: The Volume Moving Average
One of the easiest ways to contextualise volume is by applying a moving average to the volume histogram. Platforms like TradingView make this simple: double-click the volume histogram, select ‘Style,’ tick the Volume MA box, and adjust the average length under ‘Inputs.’
A 9-period moving average, for example, acts as a baseline. When volume spikes significantly above the average, it suggests increased participation and potentially more meaningful price moves. Conversely, volume below the average often reflects quieter market phases.
Adding MA to Your Volume Histogram
Past performance is not a reliable indicator of future results
Volume Divergence: When Volume and Price Don’t Align
Volume divergence occurs when price action and volume move in opposite directions, often hinting at weakening trends or potential reversals.
Imagine an uptrend where the price makes higher highs, but volume decreases at each new peak. This divergence signals fading participation, suggesting the trend may be losing steam.
On the other hand, if the price trends lower while volume rises, sellers could be gaining momentum, increasing the likelihood of further downside.
Take the example below, where volume divergence on the FTSE 100 preceded a period of sideways consolidation.
Volume Divergence: FTSE 100 Daily Candle Chart
Past performance is not a reliable indicator of future results
Patterns That Thrive on High Volume
Certain price patterns rely on strong volume to confirm their validity. A classic example is a triangle breakout. As the price consolidates within the triangle, volume often contracts. When the breakout finally occurs, you want to see a surge in volume, confirming that participants are backing the move. Without it, the breakout might lack the conviction needed to sustain the trend.
Patterns That Prefer Lower Volume
Other patterns work best with subdued volume. A pullback within a trend is a great example. Let’s say a stock is in a strong uptrend and starts to retrace slightly. Ideally, you want to see declining volume during the pullback. This suggests the selling is more about profit-taking than aggressive distribution.
Once the pullback completes and the trend resumes, volume should pick up again. If the pullback occurs on high volume, it could indicate stronger selling pressure, signalling that the uptrend might be in trouble.
A Practical Example: DXY Pullback and Breakout
Let’s apply these concepts to a real-world case. In October, the dollar index (DXY) formed a steady uptrend followed by a pullback, creating a descending channel or bull flag.
During the flag formation, average volume declined, indicating reduced selling pressure. When the price broke out, volume surged to nearly triple the 20-day average—a clear signal of strong buying interest. This breakout led to a multi-week uptrend.
DXY Daily Candle Chart
Past performance is not a reliable indicator of future results
Final Thoughts
The volume histogram is a simple yet invaluable tool for traders. By applying a moving average to identify volume trends and watching for divergences between price and volume, you can gain a clearer understanding of market dynamics.
Volume isn’t just about how much activity is happening—it’s about when and how it aligns with price action. Whether you’re trading breakouts, pullbacks, or reversals, understanding volume can provide an essential layer of confirmation and help you spot potential warning signs.
Keep in mind, volume is just one piece of the puzzle. But when used correctly, it can give you a better sense of whether a price move has the backing it needs to succeed—or if it’s running on empty.
Disclaimer: This is for information and learning purposes only. The information provided does not constitute investment advice nor take into account the individual financial circumstances or objectives of any investor. Any information that may be provided relating to past performance is not a reliable indicator of future results or performance. Social media channels are not relevant for UK residents.
Spread bets and CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. 83% of retail investor accounts lose money when trading spread bets and CFDs with this provider. You should consider whether you understand how spread bets and CFDs work and whether you can afford to take the high risk of losing your money.
Example of explanation of chart analysis and trading strategy
Hello, traders.
If you "Follow", you can always get new information quickly.
Please click "Boost" as well.
Have a nice day today.
-------------------------------------
There was an inquiry asking for detailed information on how to analyze charts and create trading strategies accordingly, so I will take the time to explain it.
Before reading this article, you need a basic understanding of charts.
That is, you need to understand candles and price moving averages.
If you study this first and then read this content, I think you will have some understanding of trading.
---------------------------------------
Whether you are trading spot or futures, marking support and resistance points according to the arrangement of candles on the 1M, 1W, and 1D charts is the first task you need to do before trading.
To do this, you need to understand the arrangement of candles.
Therefore, before using my indicator, it is better to study candles first and understand the arrangement of candles.
When studying candles, it is better not to try to memorize the names or shapes of various patterns.
This is because the overall understanding of candles is important, not the various patterns of candles.
If you study with a book or video, you will be able to understand candles after reading or watching them at least 3 times.
We study charts to trade, not to analyze charts and teach them to others, so we need to study efficiently and save time.
-
If you study candles, you will naturally understand the price moving average.
The indicator corresponding to the price moving average is the MS-Signal indicator.
This MS-Signal indicator consists of the M-Signal indicator and the S-Signal indicator, and the main indicator is the M-Signal indicator.
Therefore, we added the M-Signal indicator of the 1W chart and the M-Signal indicator of the 1M chart to the 1D chart so that we can see the overall trend.
-
You can see the arrangement of the MS-Signal (M-Signal of 1M, 1W, 1D charts) indicators in the example chart.
Currently, since the M-Signal of the 1M chart > the M-Signal of the 1W chart, we can see that it is a reverse array.
If you understand the price moving average, you will understand that we should not trade when it is a reverse array, but when it is a regular array.
Therefore, since the current state of the example chart is a reverse array, it is not suitable for trading.
However, the reason we brought this chart in this state is because the M-Signal indicators of the 1M and 1W charts are converging.
As convergence progresses, it will eventually diverge.
Therefore, since the possibility of price volatility increases, the possibility of capturing the timing for trading increases depending on whether there is support at the support and resistance points.
-
The indicators included in the example chart are drawn as horizontal lines to indicate support and resistance points.
This work performs the same role as the support and resistance points drawn on the 1M, 1W, and 1D charts according to the arrangement of the candles mentioned above.
Therefore, on the 1M, 1W, and 1D charts, horizontal lines are drawn on the indicators to indicate support and resistance points.
You can draw horizontal lines on indicators that are horizontal for at least 3 candles, and if possible, 5 candles.
-
Among the HA-MS indicators, the important indicators are the HA-Low and HA-High indicators.
The HA-Low and HA-High indicators are indicators created for trading on the Heikin-Ashi chart.
Therefore, it is the next most important indicator after the MS-Signal (M-Signal on 1M, 1W, 1D charts) indicator that can tell the trend.
You can create a trading strategy depending on whether there is support near the HA-Low, HA-High indicators.
-
The next most important indicator is the BW(0), BW(100) indicator.
When this indicator is created or touched, it is time to respond in detail.
That is, when you are trading with a trading strategy created from the HA-Low, HA-High indicators, when the BW(0), BW(100) indicators are created or touched, you can choose whether to proceed with a split transaction.
In addition, you can understand the OBV, +100, -100 indicators as response points for split transactions.
Therefore, you do not need to indicate support and resistance points for the OBV, +100, -100 indicators.
However, it is recommended to mark support and resistance points for the HA-Low, HA-High, BW(0), BW(100) indicators.
-
If you look at the price position in the example chart, you can see that it is located in the 0.03347-0.03485 range.
And, the M-Signal indicator of the 1W chart is passing through this range, and the HA-High indicator of the 1W chart is acting as support and resistance.
Therefore, whether there is support near 0.03485 is an important key point.
If support is confirmed near 0.03485, it is a time to buy.
However, since the MS-Signal (M-Signal on the 1D chart) indicator is passing between 0.03485-0.03814, the point to watch is whether the MS-Signal (M-Signal on the 1D chart) indicator can break through upward.
As I mentioned earlier, if the MS-Signal indicator passes, a trend change will occur, so it is significant.
Therefore, in order to turn into a short-term uptrend, it is likely to be supported around 0.03814-0.03982.
Therefore, the first split selling section will be around 0.03814-0.03982.
At this time, whether to sell or hold depends on your investment style and investment period.
-
Since the M-Signal indicator on the 1M chart is passing around 0.04341, it is likely to start when the price is maintained above the M-Signal indicator on the 1M chart in order to turn into a long-term uptrend.
Therefore, the second split selling period will be around the M-Signal indicator on the 1M chart.
This is also something you can choose.
-
An important volume profile section is formed around 0.03038.
Therefore, the 0.03038 point corresponds to a strong support section.
-
(30m chart)
When the time frame chart you are trading is below the 1D chart, it is recommended to activate the 5EMA indicator on the 1D chart.
(I just used the 30m chart as an example. The same principle applies to any time frame chart you usually use.)
This is because there is a high possibility of volatility when the 5EMA of the 1D chart and the M-Signal indicator of the 1M, 1W, and 1D charts are touched.
In other words, you can understand that it plays a certain role of support and resistance.
If it touches the HA-High, BW(100) indicator and falls and falls below the MS-Signal indicator, it will basically touch the HA-Low or BW(0) indicator.
On the other hand, if it touches the HA-Low, BW(0) indicator and rises and rises above the MS-Signal indicator, it will basically touch the HA-High or BW(100) indicator.
However, since it may not do so and may rise or fall in the middle, it is necessary for the support and resistance points drawn on the 1M, 1W, and 1D charts as mentioned earlier.
The support and resistance points drawn on the 1D chart are currently indicated at the 0.03347 point.
Therefore, even if it falls below the MS-Signal indicator, you can understand that there is a possibility of rising again around 0.03347.
Since the 5EMA of the 1D chart and the M-Signal indicator of the 1W chart are passing around 0.03485, we can see that the area around 0.03485 is an important support and resistance zone.
-
Since the StochRSI indicator is currently above 50, we should focus on finding a time to sell.
Since it has fallen below the BW(100) and HA-High indicators, it has fallen too much to start trading with a sell (SHORT) position.
However, if you can respond quickly, you can enter a sell (SHORT) position when it falls from the 0.03411 point where the MS-Signal indicator is passing.
When the StochRSI indicator falls below 50, we should focus on finding a time to buy.
At this time, you can trade based on whether there is support or resistance at the support and resistance points drawn on the 1M, 1W, and 1D charts or around the MS-Signal (M-Signal on the 1M, 1W, and 1D charts), 5EMA, HA-Low, HA-High, BW(0), and BW(100) indicators on the 1D chart.
As mentioned earlier, you should not forget that trading strategies can be created based on whether there is support at the HA-Low and HA-High indicators.
Therefore, if possible, it is recommended to trade based on whether there is support near the HA-High indicator point of 0.03443.
-
Thank you for reading to the end.
I hope you have a successful trade.
--------------------------------------------------
Using Volume to Validate Market MovesVolume is one of those metrics that often sits quietly at the bottom of your chart, unnoticed by many traders. Yet, it plays a critical role in understanding the market’s behaviour. Think of volume as the fuel behind price movements—without it, even the most promising breakout can fizzle out. But, just like with fuel, more isn’t always better.
Today, we’re focusing on the simple volume histogram that appears at the bottom of most charts. While there are countless indicators built around volume—like On-Balance Volume (OBV) or the Volume-Weighted Average Price (VWAP)—the histogram is a straightforward, effective tool for gauging participation in the market. Let’s explore how to use it, how to put volume into context, and how it behaves with different price patterns, including the concept of volume divergence.
Simple Volume Histogram
Past performance is not a reliable indicator of future results
Why Volume Matters (and Why More Isn’t Always Better)
Volume measures how many shares or contracts change hands during a given period. When volume spikes, it signifies heightened interest—buyers and sellers actively engaging. However, it’s not as simple as “more volume equals better signals.”
For instance, a breakout on high volume often reflects strong conviction, but it can also indicate exhaustion at the end of a trend. Conversely, a low-volume breakout might lack the interest needed to sustain the move. Understanding the relationship between volume and price action is key to avoiding false signals.
A Simple Trick: The Volume Moving Average
One of the easiest ways to contextualise volume is by applying a moving average to the volume histogram. Platforms like TradingView make this simple: double-click the volume histogram, select ‘Style,’ tick the Volume MA box, and adjust the average length under ‘Inputs.’
A 9-period moving average, for example, acts as a baseline. When volume spikes significantly above the average, it suggests increased participation and potentially more meaningful price moves. Conversely, volume below the average often reflects quieter market phases.
Adding MA to Your Volume Histogram
Past performance is not a reliable indicator of future results
Volume Divergence: When Volume and Price Don’t Align
Volume divergence occurs when price action and volume move in opposite directions, often hinting at weakening trends or potential reversals.
Imagine an uptrend where the price makes higher highs, but volume decreases at each new peak. This divergence signals fading participation, suggesting the trend may be losing steam.
On the other hand, if the price trends lower while volume rises, sellers could be gaining momentum, increasing the likelihood of further downside.
Take the example below, where volume divergence on the FTSE 100 preceded a period of sideways consolidation.
Volume Divergence: FTSE 100 Daily Candle Chart
Past performance is not a reliable indicator of future results
Patterns That Thrive on High Volume
Certain price patterns rely on strong volume to confirm their validity. A classic example is a triangle breakout. As the price consolidates within the triangle, volume often contracts. When the breakout finally occurs, you want to see a surge in volume, confirming that participants are backing the move. Without it, the breakout might lack the conviction needed to sustain the trend.
Patterns That Prefer Lower Volume
Other patterns work best with subdued volume. A pullback within a trend is a great example. Let’s say a stock is in a strong uptrend and starts to retrace slightly. Ideally, you want to see declining volume during the pullback. This suggests the selling is more about profit-taking than aggressive distribution.
Once the pullback completes and the trend resumes, volume should pick up again. If the pullback occurs on high volume, it could indicate stronger selling pressure, signalling that the uptrend might be in trouble.
A Practical Example: DXY Pullback and Breakout
Let’s apply these concepts to a real-world case. In October, the dollar index (DXY) formed a steady uptrend followed by a pullback, creating a descending channel or bull flag.
During the flag formation, average volume declined, indicating reduced selling pressure. When the price broke out, volume surged to nearly triple the 20-day average—a clear signal of strong buying interest. This breakout led to a multi-week uptrend.
DXY Daily Candle Chart
Past performance is not a reliable indicator of future results
Final Thoughts
The volume histogram is a simple yet invaluable tool for traders. By applying a moving average to identify volume trends and watching for divergences between price and volume, you can gain a clearer understanding of market dynamics.
Volume isn’t just about how much activity is happening—it’s about when and how it aligns with price action. Whether you’re trading breakouts, pullbacks, or reversals, understanding volume can provide an essential layer of confirmation and help you spot potential warning signs.
Keep in mind, volume is just one piece of the puzzle. But when used correctly, it can give you a better sense of whether a price move has the backing it needs to succeed—or if it’s running on empty.
Disclaimer: This is for information and learning purposes only. The information provided does not constitute investment advice nor take into account the individual financial circumstances or objectives of any investor. Any information that may be provided relating to past performance is not a reliable indicator of future results or performance. Social media channels are not relevant for UK residents.
Spread bets and CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. 83% of retail investor accounts lose money when trading spread bets and CFDs with this provider. You should consider whether you understand how spread bets and CFDs work and whether you can afford to take the high risk of losing your money.
Learn High Impact Fundamental News in GOLD XAUUSD Trading
Before you open any trade on Gold, always check the economic calendar first.
In this article, you will learn the best free economic calendar and high impact fundamental news that can influence Gold prices.
I will teach the important actions to take and a trading strategy to follow both before and after news releases to improve your Gold trading strategy.
Free Economic Calendar
The economic calendar that I use for Gold trading is on Tradingview.
The news that influence Gold prices are high impact US news.
To display only such news, you should set the filters .
You should click "Only High Importance" and in the list of countries choose only the United States.
All 3 star US news may influence Gold prices dramatically.
Real Impact
In Gold trading, the release of high impact fundamental news is one of the major causes of trading positions being closed in a loss . Because such news may make the market completely irrational, increasing the volatility.
Look how strongly Gold prices dropped, immediately after US personal spending news were posted.
Remember, though, that there is no guarantee that Gold will react to this news. Quite often, the market will not be affected at all.
The release of US GDP did not influence Gold at all and the market continued consolidating.
Beware of False Signals
In order to protect your trading account from unexpected losses,
I recommend not opening any trading position 3 hours ahead of the news.
Usually, during that period, the markets start slowing down , preparing for the news.
Most of the breakouts, signals that you will see in such a period will be false .
3 hours before the US Durable Orders fundamental news, Gold broke and closed below a key daily horizontal support. From a technical analysis standpoint, it was a strong bearish signal.
However, that signal was false, and the price went up rapidly after the news.
Safest Strategy
If you have an active trade, 10 minutes ahead of the release of the fundamentals, protect your position.
Simply take a stop loss and move it to entry level.
If the price rapidly reverses after a news release, you will close the position with a 0 loss.
Here is a long trade on Gold that we took with my trading academy members.
10 minutes ahead of US unemployment data, we moved stop loss to entry level.
Fundamental news made the market bearish, and the price went down.
Our decision to protect a trading position helped us to avoid losses.
Alternatively, you can close your active trade 10 minutes ahead of the news.
Be Patient
After the release of the news, I suggest waiting for the close of an hourly candle before you take any trade.
With the first hourly candle close after the news, you will see how the market participants price in its impact, letting you make a better decision.
That is how Gold reacted to US Inflation data. Any trade should be opened at least after the hourly candle close to let the market price in its real effect.
These 3 simple rules will help you to cut losses cause by the fundamental news.
Integrate them in your trading strategy to increase your profits.
Never forget to monitor the economic calendar and good luck in your trading.
❤️Please, support my work with like, thank you!❤️
How to Avoid Falsa Breakouts and Breakdowns?Avoiding False Breakouts and False Breakdowns: A Guide for Traders
Have you ever seen a significant resistance level break and then opened a long trade, only for the market to make a sharp move to the downside? Or perhaps you've entered a short position after the price broke support, only to watch the market rebound?
If so, you're not alone. Many traders have fallen victim to false breakouts, so don't feel bad. Recognizing these situations can be challenging, but it's crucial to learn how to identify them.
In this article, we'll discuss false breakouts and breakdowns, and share two powerful strategies from the CRYPTOMOJO_TA team that can help you stay on the right side of the market and avoid unnecessary losses.
Understanding False Breakouts
The solution to avoiding false breakouts is quite simple: wait for the candle to close before acting on a breakout. Jumping into a trade as soon as the price breaks a key level can often lead to failure. Therefore, avoid placing entry orders above or below support and resistance levels to automatically enter a breakout. These orders can result in getting "wicked" into trades that never materialize.
The only way to successfully trade breakouts is to monitor the market closely and be prepared to act as soon as the candle closes in the breakout zone. Only then can you determine the breakout's strength.
How to Avoid a False Breakout
It can be almost impossible to tell a true breakout from a false one if you're not careful. Here are four ways to avoid falling for a failed breakout:
1. Take It Slow
One of the simplest yet most challenging ways to avoid a false breakout is simply to wait. Instead of rushing to enter a trade when the price breaks through support or resistance, take a step back. Depending on your trading style, give the market a few days to reveal whether the breakout is genuine. Often, the false breakouts will become apparent after some time.
2. Watch Your Candles
A more advanced version of waiting is to use candlestick charts to confirm the breakout. Wait until the candle closes to assess the strength of the breakout. The stronger the breakout appears, the more likely it is genuine.
Many traders lack the time to monitor their charts constantly, but with us, you can set alerts to notify you when specific market conditions are met. For a breakout, create an alert based on the candle's close price to ensure you're only entering after a true breakout.
3. Use Multiple Timeframe Analysis
Multiple timeframe analysis is an efficient way to identify potential breakouts and distinguish between genuine and false ones. Watch your chosen market across various timeframes. For instance, you might spot a potential breakout in the short term and then "zoom out" to analyze the market over a longer period, like a week or a month.
This broader perspective helps identify whether a breakout is significant in the long term or merely a short-term movement that may soon reverse.
4. Know the Usual Suspects
Some chart patterns can indicate the likelihood of a false breakout. These include ascending triangles, the head and shoulders pattern, and flag formations. Familiarizing yourself with these patterns can help you identify when a breakout is more likely to fail.
For example, ascending triangles often indicate a temporary market correction rather than a true breakout.
How to Trade a False Breakout
If you're a trader, you can use a false breakout as an opportunity to go short. Predict that the market will drop after the failed breakout and profit from the decline. Alternatively, you could hedge by opening both a long and a short position—going long in case the breakout is true, and short if it fails.
To trade a false breakout, follow these steps:
Create a live CFD trading account.
Perform technical analysis to identify potential false breakouts.
Manage your risk by using stop orders and limit orders.
Open and monitor your first trade.
How to Trade Breakouts
If you prefer to trade actual breakouts, here's how you can do it:
Create a live account or practice with a demo account.
Learn the signs of a potential breakout. You can find in-depth resources about breakouts on IG Academy to upskill yourself.
Open your first position.
Plan your exit strategy carefully, including setting stop orders and limit orders.
Take steps to manage your risk.
False Breakouts Summed Up
A false breakout occurs when the price moves beyond the normal support or resistance levels but fails to sustain the momentum, leading to a reversal. Traders may mistakenly go long during these events, only to see the price lose momentum shortly after.
You can avoid false breakouts or trade them intentionally by studying the market, learning chart patterns, analyzing timeframes, and using the right tools. With us, you can trade both breakouts and false breakouts using CFDs.
This chart is for informational purposes only.
Never Stop Learning
I would love to hear your thoughts, charts, and views in the comment section. Keep learning, stay patient, and keep improving your trading skills!
Thank you!
Trading CFDs on Stocks vs ETFs: Differences and AdvantagesTrading CFDs on Stocks vs ETFs: Differences and Advantages
Many traders wonder whether it’s worth trading ETFs vs stocks. The truth is that they both offer distinct advantages depending on your strategy. Whether you're drawn to the diversification of ETFs or the high volatility of individual stocks, understanding their differences is key. This article breaks down the difference between stocks and ETFs and the advantages of each.
What Are ETFs vs Stocks?
Although you are well aware of what stocks and ETFs are, let us give a quick overview. ETFs, or exchange-traded funds, are collections of assets like stocks, bonds, or commodities bundled into a single security. Instead of buying individual assets, traders gain exposure to an entire market segment or strategy by trading ETFs. For example, SPY tracks the S&P 500, providing access to 500 major companies in one trade. ETFs are traded on exchanges like stocks, with prices fluctuating throughout the day based on supply and demand.
Stocks, by contrast, signify direct ownership in a particular company. When trading stocks, you’re focusing on the performance of that single entity, whether it’s a household name like Tesla (TSLA) or an emerging small-cap company. In comparing stocks vs an ETF, stocks are often more volatile than ETFs, creating opportunities for traders to capture sharp price movements.
In this article, we will talk about CFDs on ETFs and stocks. Contracts for Difference (CFDs) allow traders to speculate on the rising and falling prices of an asset without owning it. To explore a world of stocks and ETFs, head over to FXOpen.
Key Differences Between ETFs and Stocks
Understanding the distinctions between an ETF vs stocks is essential for traders aiming to refine their strategies. While both are popular instruments, they behave differently in the market and suit different trading approaches. Let’s break it down.
1. Composition
The primary difference between an ETF and a stock is its makeup. ETFs are baskets of assets like stocks, bonds, or commodities, offering built-in diversification. For example, the Invesco QQQ ETF holds top Nasdaq-listed companies like Apple, Microsoft, and Tesla. Stocks, however, represent a single company. Trading a stock like Amazon (AMZN) means your potential returns depend solely on its performance, while ETFs spread risk across multiple assets.
2. Volatility
Stocks are generally more volatile. A single earnings miss or CEO resignation can send a stock’s price soaring or crashing. ETFs, because they pool multiple assets, experience smaller swings. For instance, SPY’s price tends to move more steadily than a volatile stock like Tesla, making ETFs potentially easier to analyse for certain trading strategies.
3. Liquidity and Trading Volume
Liquidity varies significantly. ETFs tracking major indices like SPY are considered liquid instruments, with high trading volumes. Stocks can be just as liquid, especially large-cap companies, but smaller or niche ETFs and stocks may suffer from lower liquidity and wider spreads or gaps in pricing.
4. Costs
Investing in stocks typically involves just the price of the shares and brokerage fees. ETFs often have expense ratios—annual fees taken from the fund’s value. While these are usually small (e.g., 0.09% for SPY), they’re an added cost traders need to consider.
However, with ETF CFDs, these fees are bypassed, leaving traders with only the broker’s spread and commission to consider. Stock CFDs work similarly, eliminating transaction costs tied to owning the underlying asset.
Advantages of Trading ETFs
Trading ETFs offers unique opportunities that appeal to a range of strategies. Their structure, diversity, and flexibility make them a valuable choice for traders. Here’s what sets them apart:
1. Diversification in a Single Trade
Trading ETFs gives exposure to a group of assets, reducing the risk of being impacted by a single asset's performance. For instance, SPY tracks the S&P 500, spreading risk across 500 companies. This makes ETFs a great way to trade entire sectors or indices without committing to individual assets.
2. Sector or Thematic Focus
ETFs allow traders to target industries, regions, or themes with precision. Whether it's technology through XLK, emerging markets via EEM, or even volatility with UVXY, ETFs open the door to strategies that align with traders’ interests and market views.
3. Lower Volatility
Because ETFs pool assets, they experience less extreme price movements than individual stocks. This steadier behaviour can make them suitable for traders looking to avoid the sharp volatility of single stocks while still taking advantage of price action.
4. Liquidity in Major Funds
Popular ETFs like QQQ and SPY are highly liquid, which may contribute to tighter spreads. Their volume also supports smooth execution for both large and small positions.
5. Accessibility Through CFDs
Many traders prefer ETFs via CFDs, which allow traders to open buy and sell positions without owning the underlying asset. CFDs often provide leverage, giving traders the potential to amplify returns while keeping costs tied to spreads and commissions instead of fund expense ratios (please remember about high risks related to leverage trading).
Advantages of Trading Stocks
Trading stocks offers a direct and focused way to engage with the market. In ETF trading vs stocks, stocks may provide unique opportunities for traders who are drawn to fast-paced action or want to specialise in specific companies or sectors. Here’s what makes trading stocks appealing:
1. High Volatility for Bigger Moves
Stocks often experience significant price swings, creating potential opportunities for traders to capitalise on sharp movements. For example, earnings reports, product launches, or market news can drive stocks like Tesla (TSLA) or Amazon (AMZN) to see dramatic intraday price changes.
2. Targeted Exposure
With stocks, traders can zero in on a single company, sector, or niche. If a trader believes Apple (AAPL) is set to gain due to new product developments, they can focus entirely on that potential without being diluted by other assets in a fund.
3. News Sensitivity
Stocks respond quickly and significantly to news events, providing frequent trading setups. Mergers, management changes, or regulatory updates often result in immediate price movements, making them popular among traders who thrive on analysing market catalysts.
4. Wide Range of Opportunities
The sheer variety of stocks—from large-cap giants to small-cap companies—offers endless opportunities for traders. Whether trading high-profile names like Nvidia (NVDA) or speculative small-caps, there’s something for every trading style and risk tolerance.
5. Leverage with CFDs
Stocks can also be traded via CFDs, allowing traders to take advantage of price movements with smaller initial capital. This opens the door to flexible position sizes and leverage, amplifying potential returns in active trading.
ETFs for Swing Trade and Day Trade
ETFs cater to both swing and day traders with their diverse offerings and high liquidity. Some popular swing trading ETFs and ETFs for day trading strategies include:
ETFs for Swing Trading
- SPY (S&P 500 ETF): Tracks the S&P 500, offering exposure to large-cap US companies with steady trends.
- IWO (Russell 2000 ETF): Focuses on small-cap stocks, which tend to be more volatile, providing swing traders with stronger price movements.
- XLK (Technology Select Sector SPDR): A tech-heavy ETF that moves in response to sector trends, popular for capturing medium-term shifts.
- XLE (Energy Select Sector SPDR): Tracks energy companies, useful for swing traders analysing oil and energy market fluctuations.
Day Trading ETFs:
- QQQ (Invesco Nasdaq-100 ETF): Offers high intraday liquidity and volatility, making it a favourite for fast trades in tech-heavy markets.
- UVXY (ProShares Ultra VIX Short-Term Futures ETF): A volatility ETF that reacts quickly to market fear, providing potential opportunities for rapid price changes.
- XLF (Financial Select Sector SPDR): Tracks financial stocks and has consistent volume for capturing short-term sector-driven moves.
Stocks for Swing Trading and Day Trading
Selecting the right stocks is crucial for effective trading. High liquidity and volatility are key factors that make certain stocks more suitable for swing and day trading. Here are some of the most popular options for both styles:
Stocks for Swing Trading
- Apple Inc. (AAPL): Known for its consistent performance and clear trends.
- Tesla Inc. (TSLA): Exhibits significant price movements, offering potential opportunities to capitalise on medium-term swings.
- NVIDIA Corporation (NVDA): A leader in the semiconductor industry with strong momentum, suitable for capturing sector trends.
- Amazon.com Inc. (AMZN): Provides steady price action, allowing traders to take advantage of consistent movements.
Stocks for Day Trading
- Advanced Micro Devices Inc. (AMD): High daily volume and volatility make it a favourite among day traders.
- Meta Platforms Inc. (META): Offers substantial intraday price swings, presenting potential trading opportunities.
- Microsoft Corporation (MSFT): Combines liquidity with moderate volatility, suitable for quick trades.
- Alphabet Inc. (GOOGL): Provides consistent intraday movements.
How to Choose Between an ETF vs Individual Stocks for Trading
Choosing between stocks and ETFs depends on your trading goals, strategy, and risk appetite. Each offers unique advantages, so understanding their characteristics can help you decide which suits your approach.
- Risk Tolerance: Stocks often come with higher volatility, making them attractive for traders comfortable with sharper price movements. ETFs offer diversification, which can reduce the impact of individual market shocks.
- Trading Strategy: For short-term trades, highly liquid ETFs like QQQ or volatile stocks like TSLA might be considerable. If you're swing trading, ETFs and large-cap stocks may provide steady trends.
- Market Focus: In individual stocks vs ETFs, ETFs give access to broad sectors or indices, popular among traders analysing macro trends. Stocks allow for focused plays on individual companies reacting to earnings or news.
- Time Commitment: Stocks typically require more monitoring due to their rapid price changes. ETFs, especially sector-specific ones, may demand less frequent attention depending on your strategy.
The Bottom Line
ETFs and stocks may offer unique opportunities, whether you're targeting diversification or sharp price movements. By understanding the differences between ETFs versus stocks and aligning them with your strategy, you can take advantage of different trading conditions. Ready to start trading? Open an FXOpen account today to access a wide range of ETF and stock CFDs with trading conditions designed for active traders.
FAQ
What Is an ETF vs a Stock?
ETFs (exchange-traded funds) are collections of assets, such as stocks or bonds, combined into a single tradable unit. They offer built-in diversification, as buying one ETF provides exposure to multiple assets. Stocks, in contrast, signify ownership in an individual company.
Should I Trade the S&P 500 or Individual Stocks?
Trading the S&P 500 (via ETFs like SPY or through index CFDs) provides exposure to the 500 largest US companies, reducing reliance on any single stock. Individual stocks offer higher volatility and opportunities for sharper price movements. Evaluate your strategy and risk tolerance to choose the suitable asset.
ETFs vs Individual Stocks: Which Is Better?
Neither ETFs nor individual stocks are inherently better—it depends on your goals. ETFs offer diversification and potentially lower volatility, making them suitable for broad market exposure. Stocks provide targeted opportunities from individual company performance.
Do ETFs Pay Dividends?
Yes, ETFs often pay dividends when their underlying holdings generate income. These are typically paid out periodically, similar to dividends from individual stocks. However, when trading CFDs, dividends are not paid in the traditional sense, as you do not own the underlying asset. However, adjustments are made to your account to reflect dividend payments.
Can I Sell ETFs Anytime?
ETFs trade on exchanges during market hours, making them highly liquid. Therefore, you can buy or sell ETFs on specific days and hours.
Trade on TradingView with FXOpen. Consider opening an account and access over 700 markets with tight spreads from 0.0 pips and low commissions from $1.50 per lot.
This article represents the opinion of the Companies operating under the FXOpen brand only. It is not to be construed as an offer, solicitation, or recommendation with respect to products and services provided by the Companies operating under the FXOpen brand, nor is it to be considered financial advice.
Quick Learn Trading Tips - #1 of 123: Doubling your MoneyQuick Learn Trading Tips - #1 of 123: Doubling your Money
It's easy to get caught up in the hype of trading. Promises of fast fortunes and "guaranteed" wins are everywhere. But as I always say, it's crucial to keep it real.
That's why my first Quick Learn trading tip is this: "Try to be realistic about your expected returns. If you dream of doubling your capital every month, you will soon be disappointed."
Let's face it:
If doubling your money every month was easy, everyone would be doing it!
The truth is that consistent success in trading requires a grounded approach.
Unrealistic goals often lead to risky moves driven by emotion, not logic. And that's a recipe for disaster.
Instead, aim for steady, achievable gains. Develop a sound trading strategy, leverage tools, and stay disciplined.
Remember, building wealth in the markets is a marathon, not a sprint.
Want more Quick Learn tips to boost your trading? Follow me.