The post Downside bias holds below 0.7850 appeared on BitcoinEthereumNews.com. The Swiss Franc (CHF) trades on the back foot against the US Dollar (USD) on MondayThe post Downside bias holds below 0.7850 appeared on BitcoinEthereumNews.com. The Swiss Franc (CHF) trades on the back foot against the US Dollar (USD) on Monday

Downside bias holds below 0.7850

4 min read

The Swiss Franc (CHF) trades on the back foot against the US Dollar (USD) on Monday, as the nomination of former Federal Reserve (Fed) Governor Kevin Warsh as the next Fed Chair helps the Greenback recover from four-year lows.

At the time of writing, USD/CHF is trading around 0.7790, extending gains for a second straight day after sliding to its lowest level since August 2011 last week.

Traders are now reassessing the Fed’s monetary policy outlook, as Warsh is generally regarded as an inflation hawk, prompting markets to scale back fears of aggressive rate cuts under political pressure.

This marks a clear shift from earlier concerns that US President Donald Trump’s nominee could tilt the central bank toward a more dovish policy path, given the President’s repeated calls for lower interest rates.

Against this backdrop, investors are rotating back into the Greenback amid improving near-term sentiment. The US Dollar Index (DXY), which tracks the Greenback’s value against a basket of six major currencies, is trading around 97.41, up nearly 0.30% on the day.

From a technical perspective, USD/CHF remains vulnerable to further downside after breaking a multi-month support zone near 0.7850 last week. The sell-off was accompanied by a clear expansion in the Bollinger Bands, pointing to rising volatility.

That said, the very near-term bias has stabilised after buyers stepped in around the 0.7600 psychological level, triggering a modest rebound. The Relative Strength Index (RSI) stands near 43, recovering from near-oversold territory, but it remains below the 50 threshold, signalling that upside momentum is still weak.

On the upside, a sustained recovery looks capped unless the pair can reclaim the 0.7850 area. A clear break above this former support would expose the mid-Bollinger band near 0.7889 as the next upside target.

On the downside, immediate support is seen at the 0.7700 round level, followed by the lower Bollinger band near 0.7627.

Trend conditions remain firm, with the Average Directional Index (ADX) around 35, suggesting that the broader move still favours sellers despite the current corrective bounce.

US Dollar FAQs

The US Dollar (USD) is the official currency of the United States of America, and the ‘de facto’ currency of a significant number of other countries where it is found in circulation alongside local notes. It is the most heavily traded currency in the world, accounting for over 88% of all global foreign exchange turnover, or an average of $6.6 trillion in transactions per day, according to data from 2022.
Following the second world war, the USD took over from the British Pound as the world’s reserve currency. For most of its history, the US Dollar was backed by Gold, until the Bretton Woods Agreement in 1971 when the Gold Standard went away.

The most important single factor impacting on the value of the US Dollar is monetary policy, which is shaped by the Federal Reserve (Fed). The Fed has two mandates: to achieve price stability (control inflation) and foster full employment. Its primary tool to achieve these two goals is by adjusting interest rates.
When prices are rising too quickly and inflation is above the Fed’s 2% target, the Fed will raise rates, which helps the USD value. When inflation falls below 2% or the Unemployment Rate is too high, the Fed may lower interest rates, which weighs on the Greenback.

In extreme situations, the Federal Reserve can also print more Dollars and enact quantitative easing (QE). QE is the process by which the Fed substantially increases the flow of credit in a stuck financial system.
It is a non-standard policy measure used when credit has dried up because banks will not lend to each other (out of the fear of counterparty default). It is a last resort when simply lowering interest rates is unlikely to achieve the necessary result. It was the Fed’s weapon of choice to combat the credit crunch that occurred during the Great Financial Crisis in 2008. It involves the Fed printing more Dollars and using them to buy US government bonds predominantly from financial institutions. QE usually leads to a weaker US Dollar.

Quantitative tightening (QT) is the reverse process whereby the Federal Reserve stops buying bonds from financial institutions and does not reinvest the principal from the bonds it holds maturing in new purchases. It is usually positive for the US Dollar.

Source: https://www.fxstreet.com/news/usd-chf-price-forecast-downside-bias-holds-below-07850-202602021459

Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact [email protected] for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.

You May Also Like

Top NYC Book Publishing Companies

Top NYC Book Publishing Companies

New York City has been the epicenter of American publishing for generations, but “NYC publishing” isn’t just one lane. Today’s landscape includes two very different
Share
Techbullion2026/02/06 14:02
Sensorion Announces its Participation in the Association for Research in Otolaryngology ARO 49th Annual Midwinter Meeting

Sensorion Announces its Participation in the Association for Research in Otolaryngology ARO 49th Annual Midwinter Meeting

MONTPELLIER, France–(BUSINESS WIRE)–Regulatory News: Sensorion (FR0012596468 – ALSEN) a pioneering clinical-stage biotechnology company which specializes in the
Share
AI Journal2026/02/06 14:45
AI Crypto Trading Secrets: What They Won’t Tell You About Profits and Pitfalls|9-Figure Media

AI Crypto Trading Secrets: What They Won’t Tell You About Profits and Pitfalls|9-Figure Media

AI crypto trading is everywhere, and every YouTube guru claims their bot mints money while they sleep. Sounds dreamy, right? However, most don’t discuss the full story, the wild profits possible, and the lurking pitfalls. As someone obsessed with the intersection of artificial intelligence and digital assets, let me pull back the curtain on the realities of algorithmic trading in the crypto jungle. Here’s what nobody tells you: 87% of retail traders using automated systems lose money within their first year. The marketing materials show cherry-picked results. The testimonials come from paid affiliates. But here’s the twist. The remaining 13% who succeed aren’t just lucky. They understand something the majority misses entirely. The Reality Behind the Hype The crypto world loves success stories. You’ve probably seen them. “I made $50,000 in three months using this bot.” What they don’t mention? The $200,000 they lost by testing seventeen other systems first. Real talk: most trading algorithms fail because they’re built for perfect market conditions. Crypto markets are anything but perfect. Think about it like this. Would you trust a Formula 1 car to handle rush hour traffic? That’s essentially what most people do with their trading bots. Why Smart Money Uses Crypto AI Tools Differently Professional traders approach crypto AI tools with surgical precision. They don’t expect miracles. They expect consistent, measured results. The difference lies in understanding what these tools actually do well: • Risk management automation • Pattern recognition at scale • Emotional bias elimination • 24/7 market monitoring • Portfolio rebalancing Notice what’s missing from that list? Get-rich-quick schemes. The smartest crypto AI tools focus on protecting capital first. Profits come second. This mindset separates winners from losers. Here’s something interesting. 9-figure media companies track these patterns religiously. They know which crypto AI tools produce sustainable results versus flashy short-term gains. Professional traders using crypto AI tools typically target 15–25% annual returns. Not 500% monthly moonshots. The Startup Connection Most People Ignore AI for startups isn’t just about building the next ChatGPT. Many successful companies use AI to optimize their crypto treasury management. Smart startups integrate crypto AI tools into their financial operations early. They automate routine decisions. They reduce human error. They scale their trading operations without hiring armies of analysts. But here’s where it gets interesting. The best AI for startup applications in crypto aren’t the obvious ones. Consider automated tax reporting. Or real-time compliance monitoring. Or treasury optimization across multiple blockchains. These unsexy applications generate more consistent profits than flashy trading algorithms. AI for startups in the crypto space succeeds when it solves boring problems efficiently. Not when it promises unrealistic returns. The most successful AI for startups implementations focus on operational efficiency. They reduce costs. They minimize risks. They free up human resources for strategic decisions. Learning from Top AI Start-Ups Top AI start-ups in the crypto space share common characteristics. They prioritize transparency over marketing hype. Look at successful top AI start-ups like Chainalysis or Elliptic. They don’t promise easy money. They provide essential infrastructure. The best top AI start-ups focus on solving real problems: • Market data analysis • Security monitoring • Regulatory compliance • Portfolio analytics • Risk assessment These top AI start-ups understand something crucial. Sustainable businesses solve actual problems. They don’t just ride hype cycles. 9-figure media outlets consistently highlight these fundamental companies. They ignore the noise. They focus on substance. Many top AI start-ups actually discourage retail trading. They know the odds. They’ve seen the casualties. Instead, successful top AI start-ups build tools for institutions. Banks. Hedge funds. Companies with proper risk management systems. The Hidden Costs Nobody Discusses Using crypto AI tools costs more than subscription fees. Much more. First, there’s the learning curve. Most people spend months figuring out proper settings. During this time, they’re paying tuition to the market. Second, there’s infrastructure. Reliable crypto AI tools require stable internet, backup systems, and proper security measures. Third, there’s opportunity cost. Time spent tweaking algorithms could be spent learning fundamental analysis. The real cost? Most people using crypto AI tools trade more frequently. Increased trading usually means increased losses. Think about 9-figure media companies again. They understand that technology amplifies existing skills. It doesn’t replace them. Smart Implementation Strategies Successful crypto AI tools users follow specific patterns: • Start with paper trading • Use position sizing rules • Set strict stop losses • Monitor performance weekly • Adjust strategies quarterly They treat crypto AI tools like any other business tool. With respect. With caution. With realistic expectations, startup applications work similarly. They augment human decision-making. They don’t replace it. The most successful AI for startups implementations in crypto involve human oversight at every level. Algorithms suggest. Humans decide. What Actually Works Here’s what separates successful crypto AI tools users from everyone else: They focus on consistency over home runs. They understand that small, regular gains compound better than occasional big wins followed by devastating losses. They apply AI principles to their approach for startups. They iterate quickly. They fail fast. They learn constantly. They study top AI start-ups for inspiration. But they don’t try to replicate their exact strategies. Most importantly, they never risk money they can’t afford to lose. The crypto market will humble anyone. AI doesn’t change this fundamental truth. Your success with crypto AI tools depends more on your discipline than the sophistication of your algorithms. Remember: the house always has an edge. Your job is to find where that edge doesn’t apply. That’s the secret they won’t tell you. AI Crypto Trading Secrets: What They Won’t Tell You About Profits and Pitfalls|9-Figure Media was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story
Share
Medium2025/09/18 23:20