Soybean oil futures fell after two days of sharp rise, and the July contract (BON25) closed at 54.79 cents/lb, down 0.32 cents. The strengthening of the US biofuel blending policy has pushed up soybean oil prices, but after the market digested the favorable policies, demand became cautious. Position data showed that commodity funds bought a net of 500 lots of soybean oil futures on June 17, and the net long position surged by 37,500 lots in the past five trading days, and the net long position increased by 46,500 lots in 30 trading days, reflecting speculators' optimism about the medium- and long-term prospects of soybean oil. However, the basis data did not see a significant boost, and the June FOB soybean oil export premium remained stable at 78 cents/bushel, indicating that demand was stable but there was no significant increase.#VeteranIBSuccessStory#CommunityAMA#ReviewBrokersforRewards#RealBrokerExperience

Soybean oil futures fell after two days of sharp rise, and the July contract (BON25) closed at 54.79 cents/lb, down 0.32 cents. The strengthening of the US biofuel blending policy has pushed up soybean oil prices, but after the market digested the favorable policies, demand became cautious. Position data showed that commodity funds bought a net of 500 lots of soybean oil futures on June 17, and the net long position surged by 37,500 lots in the past five trading days, and the net long position increased by 46,500 lots in 30 trading days, reflecting speculators' optimism about the medium- and long-term prospects of soybean oil. However, the basis data did not see a significant boost, and the June FOB soybean oil export premium remained stable at 78 cents/bushel, indicating that demand was stable but there was no significant increase.#VeteranIBSuccessStory#CommunityAMA#ReviewBrokersforRewards#RealBrokerExperience

#CommunityAMA Casual Dismissal of Economic Data Releases: This risk occurs when AMAs downplay the importance of scheduled economic news releases, promoting a purely technical approach without fundamental awareness. Ignoring these events exposes traders to extreme volatility and unexpected price movements that can invalidate technical setups instantly, leading to significant losses from unforeseen market reactions.

#CommunityAMA Casual Dismissal of Economic Data Releases: This risk occurs when AMAs downplay the importance of scheduled economic news releases, promoting a purely technical approach without fundamental awareness. Ignoring these events exposes traders to extreme volatility and unexpected price movements that can invalidate technical setups instantly, leading to significant losses from unforeseen market reactions.

Soybeans: Limited support from energy market, weak export demand puts pressure Soybean futures were indirectly boosted by the energy market, with the July contract (SN25) closing at $10.74/bushel, up 4-1/4 cents. Crude oil prices rose 4% as the geopolitical situation in the Middle East continued to be tense, supporting the potential demand for soybeans as a biofuel feedstock. The USDA report showed that the rating of US soybean crops fell to 66% excellent, down from 68% last week, and the market's uncertainty about future weather provided some support for prices. In terms of position data, commodity funds bought a net 3,500 lots of soybean futures on June 17, and the net long position increased by 13,500 lots in the past five trading days, but the net short position increased by 4,500 lots in 30 trading days, indicating that short-term bullish sentiment is warming up while the medium and long term is still cautious.#CommunityAMA#VeteranIBSuccessStory#RealBrokerExperience#ReviewBrokersforRewards

Soybeans: Limited support from energy market, weak export demand puts pressure Soybean futures were indirectly boosted by the energy market, with the July contract (SN25) closing at $10.74/bushel, up 4-1/4 cents. Crude oil prices rose 4% as the geopolitical situation in the Middle East continued to be tense, supporting the potential demand for soybeans as a biofuel feedstock. The USDA report showed that the rating of US soybean crops fell to 66% excellent, down from 68% last week, and the market's uncertainty about future weather provided some support for prices. In terms of position data, commodity funds bought a net 3,500 lots of soybean futures on June 17, and the net long position increased by 13,500 lots in the past five trading days, but the net short position increased by 4,500 lots in 30 trading days, indicating that short-term bullish sentiment is warming up while the medium and long term is still cautious.#CommunityAMA#VeteranIBSuccessStory#RealBrokerExperience#ReviewBrokersforRewards

#CommunityAMA With all the buzz around artificial intelligence and automation, many beginner traders assume that every trading bot is "smart"—capable of making intelligent, high-level decisions that outperform the market. But here's the truth: not all bots are created equal, and most aren’t as intelligent as they seem. Many trading bots aren’t true AI at all. In fact, a large number of them simply follow pre-programmed rules: "If X happens, do Y." That’s not intelligence—that’s automation. These bots can execute trades faster than a human, but they don’t think, adapt, or understand context. If the market shifts unexpectedly, a basic bot will keep following its script, even if it no longer makes sense. Even bots that claim to use machine learning or AI often rely on limited data or outdated models. They might work well in backtesting but fail in live markets where conditions change rapidly. Worse, some commercial bots are poorly built or sold with exaggerated claims, giving beginners a false sense of security. Just because something is automated doesn't mean it's smart. And just because it’s fast doesn’t mean it's right. Using a trading bot effectively requires human oversight, strategy, and regular adjustments. Smart trading comes from understanding how a bot works, when to use it, and why its logic makes sense in the current market. Bottom line? Don’t let the word “bot” fool you. Automation helps, but it isn’t a shortcut to profits. Always look under the hood and make sure your trading tools are truly serving you—not just running blindly.

#CommunityAMA With all the buzz around artificial intelligence and automation, many beginner traders assume that every trading bot is "smart"—capable of making intelligent, high-level decisions that outperform the market. But here's the truth: not all bots are created equal, and most aren’t as intelligent as they seem. Many trading bots aren’t true AI at all. In fact, a large number of them simply follow pre-programmed rules: "If X happens, do Y." That’s not intelligence—that’s automation. These bots can execute trades faster than a human, but they don’t think, adapt, or understand context. If the market shifts unexpectedly, a basic bot will keep following its script, even if it no longer makes sense. Even bots that claim to use machine learning or AI often rely on limited data or outdated models. They might work well in backtesting but fail in live markets where conditions change rapidly. Worse, some commercial bots are poorly built or sold with exaggerated claims, giving beginners a false sense of security. Just because something is automated doesn't mean it's smart. And just because it’s fast doesn’t mean it's right. Using a trading bot effectively requires human oversight, strategy, and regular adjustments. Smart trading comes from understanding how a bot works, when to use it, and why its logic makes sense in the current market. Bottom line? Don’t let the word “bot” fool you. Automation helps, but it isn’t a shortcut to profits. Always look under the hood and make sure your trading tools are truly serving you—not just running blindly.

#CommunityAMA Promotion of "Scalping" with Inadequate Capital: This risk involves encouraging beginners, who typically have limited capital, to engage in high-frequency scalping strategies. Scalping requires significant capital to absorb transaction costs and withstand rapid, small drawdowns. Promoting it without this crucial consideration leads to quick account blow-ups as small accounts cannot sustain the necessary risk.

#CommunityAMA Promotion of "Scalping" with Inadequate Capital: This risk involves encouraging beginners, who typically have limited capital, to engage in high-frequency scalping strategies. Scalping requires significant capital to absorb transaction costs and withstand rapid, small drawdowns. Promoting it without this crucial consideration leads to quick account blow-ups as small accounts cannot sustain the necessary risk.

#CommunityAMA A common misconception among beginner traders is that once you set up an AI trading system, you can just sit back and watch the profits roll in. Sounds appealing, right? Unfortunately, the “set it and forget it” mindset can be one of the fastest ways to lose money in the markets. AI trading tools are powerful, but they’re not self-sufficient robots running on autopilot forever. Financial markets are constantly evolving—what works today might completely fail tomorrow. AI models trained on past data can struggle when market conditions shift due to news events, interest rate changes, or geopolitical tensions. If you don’t monitor your AI system regularly, you risk letting it trade in outdated or unsuitable conditions. Even the best AI strategies need to be re-evaluated, fine-tuned, and updated to stay effective. Another issue? AI can behave unexpectedly. A change in market volatility or sudden price spikes can trigger trades that you never anticipated—especially if stop losses, risk limits, or guardrails aren’t properly configured. Think of AI as a co-pilot, not an autopilot. It needs your guidance, your oversight, and your understanding of the broader trading environment. Bottom line: AI is not a “hands-off” money machine. It's a high-tech tool that works best when actively managed by a trader who knows what they’re doing. If you want lasting results, forget the fantasy—and stay involved.

#CommunityAMA A common misconception among beginner traders is that once you set up an AI trading system, you can just sit back and watch the profits roll in. Sounds appealing, right? Unfortunately, the “set it and forget it” mindset can be one of the fastest ways to lose money in the markets. AI trading tools are powerful, but they’re not self-sufficient robots running on autopilot forever. Financial markets are constantly evolving—what works today might completely fail tomorrow. AI models trained on past data can struggle when market conditions shift due to news events, interest rate changes, or geopolitical tensions. If you don’t monitor your AI system regularly, you risk letting it trade in outdated or unsuitable conditions. Even the best AI strategies need to be re-evaluated, fine-tuned, and updated to stay effective. Another issue? AI can behave unexpectedly. A change in market volatility or sudden price spikes can trigger trades that you never anticipated—especially if stop losses, risk limits, or guardrails aren’t properly configured. Think of AI as a co-pilot, not an autopilot. It needs your guidance, your oversight, and your understanding of the broader trading environment. Bottom line: AI is not a “hands-off” money machine. It's a high-tech tool that works best when actively managed by a trader who knows what they’re doing. If you want lasting results, forget the fantasy—and stay involved.

#CommunityAMA Misunderstanding of Order Types (e.g., market vs. limit): This risk highlights widespread confusion regarding the distinct characteristics and implications of different order types. Traders often fail to grasp when to use a market order versus a limit order, leading to poor execution prices, unexpected slippage, or missed entries, which negatively impacts their trade profitability and risk management.

#CommunityAMA Misunderstanding of Order Types (e.g., market vs. limit): This risk highlights widespread confusion regarding the distinct characteristics and implications of different order types. Traders often fail to grasp when to use a market order versus a limit order, leading to poor execution prices, unexpected slippage, or missed entries, which negatively impacts their trade profitability and risk management.

#CommunityAMA One of the biggest myths beginner traders fall for is the idea that AI can predict the market. Spoiler alert: it can’t. AI doesn’t have a crystal ball. It doesn’t “know” what’s coming next. What it does is analyze past data—price trends, volume, indicators—and look for patterns that may repeat. But markets are influenced by countless unpredictable factors: economic news, political events, natural disasters, human emotion, and even sudden tweets. Even the most advanced AI can’t foresee a market crash or a surprise interest rate hike. That’s because it’s not truly predicting—it’s calculating probabilities based on what has happened, not what will happen. Relying on AI as a fortune teller can lead to false confidence and poor risk management. Beginners often get burned expecting flawless results, only to discover that AI can be just as vulnerable to market shocks as human traders. The smarter approach? Use AI as a tool—not a psychic. Combine it with sound strategy, risk control, and market awareness. AI can help you spot opportunities, but it can't see the future. No system can. So next time someone says their AI can "predict the market"... walk away.

#CommunityAMA One of the biggest myths beginner traders fall for is the idea that AI can predict the market. Spoiler alert: it can’t. AI doesn’t have a crystal ball. It doesn’t “know” what’s coming next. What it does is analyze past data—price trends, volume, indicators—and look for patterns that may repeat. But markets are influenced by countless unpredictable factors: economic news, political events, natural disasters, human emotion, and even sudden tweets. Even the most advanced AI can’t foresee a market crash or a surprise interest rate hike. That’s because it’s not truly predicting—it’s calculating probabilities based on what has happened, not what will happen. Relying on AI as a fortune teller can lead to false confidence and poor risk management. Beginners often get burned expecting flawless results, only to discover that AI can be just as vulnerable to market shocks as human traders. The smarter approach? Use AI as a tool—not a psychic. Combine it with sound strategy, risk control, and market awareness. AI can help you spot opportunities, but it can't see the future. No system can. So next time someone says their AI can "predict the market"... walk away.

#CommunityAMA Machine Learning for Trend Detection: Machine learning is widely used for detecting trends in financial markets by analyzing large volumes of historical and real-time data. Algorithms like decision trees, support vector machines, and neural networks can identify patterns and classify market movements as upward, downward, or sideways. These models learn from price behavior, volume, technical indicators, and news sentiment to predict future trends. Unlike traditional methods, machine learning can adapt to changing market conditions, improving the accuracy of trend forecasts over time.

#CommunityAMA Machine Learning for Trend Detection: Machine learning is widely used for detecting trends in financial markets by analyzing large volumes of historical and real-time data. Algorithms like decision trees, support vector machines, and neural networks can identify patterns and classify market movements as upward, downward, or sideways. These models learn from price behavior, volume, technical indicators, and news sentiment to predict future trends. Unlike traditional methods, machine learning can adapt to changing market conditions, improving the accuracy of trend forecasts over time.

#CommunityAMA Yuan Bolstered by FX Stability Pledge USD/CNY stayed around 7.18 after PBOC and forex authorities reaffirmed defensive posture toward external shocks. Comments at the Lujiazui Forum emphasized currency stability. With global risk elevated, yuan investors welcomed signs of calmer FX policy .

#CommunityAMA Yuan Bolstered by FX Stability Pledge USD/CNY stayed around 7.18 after PBOC and forex authorities reaffirmed defensive posture toward external shocks. Comments at the Lujiazui Forum emphasized currency stability. With global risk elevated, yuan investors welcomed signs of calmer FX policy .

#CommunityAMA Uncritical Acceptance of Publicly Shared Strategies: This risk highlights the danger of adopting trading strategies shared openly without rigorous personal backtesting, forward testing, or critical evaluation. What works for one trader's psychology, capital, or risk tolerance may not suit another, leading to losses when individuals blindly implement strategies without proper due diligence or customization.

#CommunityAMA Uncritical Acceptance of Publicly Shared Strategies: This risk highlights the danger of adopting trading strategies shared openly without rigorous personal backtesting, forward testing, or critical evaluation. What works for one trader's psychology, capital, or risk tolerance may not suit another, leading to losses when individuals blindly implement strategies without proper due diligence or customization.

#CommunityAMA AMA Benchmarking Reports turn raw performance data into strategic insights by contextualizing your AMA results within a broader competitive and industry landscape. They help you measure success, identify gaps, and continuously elevate your AMA game.

#CommunityAMA AMA Benchmarking Reports turn raw performance data into strategic insights by contextualizing your AMA results within a broader competitive and industry landscape. They help you measure success, identify gaps, and continuously elevate your AMA game.

#CommunityAMA Yen Gains Slightly but Capped by BoJ Policy JPY strengthened modestly in response to global risk-off flows, but remained capped around 143.8 due to BoJ’s continued dovish policy. Traders caution that deeper escalation could prompt more significant yen strength, though central bank interventions may limit sudden moves .

#CommunityAMA Yen Gains Slightly but Capped by BoJ Policy JPY strengthened modestly in response to global risk-off flows, but remained capped around 143.8 due to BoJ’s continued dovish policy. Traders caution that deeper escalation could prompt more significant yen strength, though central bank interventions may limit sudden moves .

#CommunityAMA AI in Forex Price Forecasting: AI plays a significant role in Forex price forecasting by analyzing vast amounts of historical and real-time market data to identify patterns and trends. Through machine learning models and neural networks, AI can make data-driven predictions about future price movements with improved speed and accuracy. It helps traders reduce emotional bias, optimize strategies, and respond faster to market changes. However, while AI enhances forecasting capabilities, it is not foolproof and should be used alongside sound risk management and market understanding.

#CommunityAMA AI in Forex Price Forecasting: AI plays a significant role in Forex price forecasting by analyzing vast amounts of historical and real-time market data to identify patterns and trends. Through machine learning models and neural networks, AI can make data-driven predictions about future price movements with improved speed and accuracy. It helps traders reduce emotional bias, optimize strategies, and respond faster to market changes. However, while AI enhances forecasting capabilities, it is not foolproof and should be used alongside sound risk management and market understanding.

#CommunityAMA Swedish Krona Buffeted by Risk-Off FX Moves SEK fluctuated amid safe-haven shifts toward USD and CHF, despite strong Swedish domestic data and Nordic bond inflows. Regional FX stability now depends more on global sentiment than local fundamentals. Anticipation builds for Riksbank commentary to clarify policy outlook amid turmoil.

#CommunityAMA Swedish Krona Buffeted by Risk-Off FX Moves SEK fluctuated amid safe-haven shifts toward USD and CHF, despite strong Swedish domestic data and Nordic bond inflows. Regional FX stability now depends more on global sentiment than local fundamentals. Anticipation builds for Riksbank commentary to clarify policy outlook amid turmoil.

#CommunityAMA In the fast-paced world of trading, artificial intelligence (AI) is often seen as a magic solution—plug it in, and the money starts rolling in. For many beginner traders, the promise of instant profits with AI feels almost too good to be true. And that’s because it is. The reality? AI is powerful, but it's not a money-printing machine. Many new traders mistakenly believe that using AI will guarantee quick returns without much effort. They assume that once an AI system is turned on, it will automatically beat the market and generate consistent profits. In truth, no AI—no matter how advanced—can predict the market with 100% accuracy. AI in trading works by analyzing historical data, identifying patterns, and executing trades based on programmed strategies. But financial markets are influenced by a range of unpredictable human and global events—breaking news, political shifts, central bank decisions—that can throw even the smartest algorithm off course. What’s more, AI needs regular tuning. Market conditions change. A strategy that worked last month may underperform today. Without proper monitoring, risk controls, and updates, an AI system can cause losses just as easily as gains. The myth of “set it and forget it” AI is not only misleading—it’s dangerous. Beginners often get lured in by fancy dashboards and overhyped promises, investing money before understanding how the system actually works. AI is a tool, not a shortcut. When used wisely, it can support and enhance a trading strategy. But like any tool, it requires knowledge, testing, and human oversight. So before trusting AI to make you rich overnight, take a step back. Learn the basics. Understand the risks. And remember: in trading, instant profits are more fiction than fact—AI or not.

#CommunityAMA In the fast-paced world of trading, artificial intelligence (AI) is often seen as a magic solution—plug it in, and the money starts rolling in. For many beginner traders, the promise of instant profits with AI feels almost too good to be true. And that’s because it is. The reality? AI is powerful, but it's not a money-printing machine. Many new traders mistakenly believe that using AI will guarantee quick returns without much effort. They assume that once an AI system is turned on, it will automatically beat the market and generate consistent profits. In truth, no AI—no matter how advanced—can predict the market with 100% accuracy. AI in trading works by analyzing historical data, identifying patterns, and executing trades based on programmed strategies. But financial markets are influenced by a range of unpredictable human and global events—breaking news, political shifts, central bank decisions—that can throw even the smartest algorithm off course. What’s more, AI needs regular tuning. Market conditions change. A strategy that worked last month may underperform today. Without proper monitoring, risk controls, and updates, an AI system can cause losses just as easily as gains. The myth of “set it and forget it” AI is not only misleading—it’s dangerous. Beginners often get lured in by fancy dashboards and overhyped promises, investing money before understanding how the system actually works. AI is a tool, not a shortcut. When used wisely, it can support and enhance a trading strategy. But like any tool, it requires knowledge, testing, and human oversight. So before trusting AI to make you rich overnight, take a step back. Learn the basics. Understand the risks. And remember: in trading, instant profits are more fiction than fact—AI or not.

#CommunityAMA Norwegian Krone Gains from Oil, But Dollar Dominates The NOK strengthened as Brent crude rose to over $78/bbl. However, broader dollar appreciation capped gains. With Norges Bank unlikely to act immediately and capital flows favoring USD, NOK will remain tied to commodity prices and global risk appetite .

#CommunityAMA Norwegian Krone Gains from Oil, But Dollar Dominates The NOK strengthened as Brent crude rose to over $78/bbl. However, broader dollar appreciation capped gains. With Norges Bank unlikely to act immediately and capital flows favoring USD, NOK will remain tied to commodity prices and global risk appetite .

#CommunityAMA Sterling Edges Lower Amid Global Risk-Off The pound slid toward $1.34, pressured by carry-flow adjustments and safe-haven preference. UK economic data remains mixed, and BoE likely to remain on hold. Unless volatility subsides, GBP will continue to underperform against stronger, risk-insensitive currencies like USD and CHF .

#CommunityAMA Sterling Edges Lower Amid Global Risk-Off The pound slid toward $1.34, pressured by carry-flow adjustments and safe-haven preference. UK economic data remains mixed, and BoE likely to remain on hold. Unless volatility subsides, GBP will continue to underperform against stronger, risk-insensitive currencies like USD and CHF .

#CommunityAMA Promotion of "Get Rich Quick" Schemes: This risk describes how some AMAs, directly or indirectly, can foster a dangerous "get rich quick" mentality around forex trading. This focus on rapid, unrealistic wealth accumulation encourages reckless risk-taking, over-leveraging, and a disregard for disciplined trading, ultimately leading to significant and often irreversible financial losses for participants.

#CommunityAMA Promotion of "Get Rich Quick" Schemes: This risk describes how some AMAs, directly or indirectly, can foster a dangerous "get rich quick" mentality around forex trading. This focus on rapid, unrealistic wealth accumulation encourages reckless risk-taking, over-leveraging, and a disregard for disciplined trading, ultimately leading to significant and often irreversible financial losses for participants.

#CommunityAMA Swiss Franc Strengthens on Safe Haven Flows CHF appreciated against both euro and dollar as investors sought assets insulated from geopolitical risk. The SNB reiterated its cautious stance, stating it will only intervene if franc strength threatens price stability. EUR/CHF remained steady near 0.95 amid continued CHF demand .

#CommunityAMA Swiss Franc Strengthens on Safe Haven Flows CHF appreciated against both euro and dollar as investors sought assets insulated from geopolitical risk. The SNB reiterated its cautious stance, stating it will only intervene if franc strength threatens price stability. EUR/CHF remained steady near 0.95 amid continued CHF demand .