Jump to content

U.S.Dollar/Swiss France (USDCHF) Day Chart Elliott Wave Technical Analysis 31 July 23


Recommended Posts

USDCHF Elliott Wave Analysis Trading Lounge Day Chart, 31 July 23,  
U.S.Dollar/Swiss France (USDCHF)  Day Chart
USDCHF Elliott Wave Technical Analysis
Function: Overall  Counter Trend
Mode: impulsive
Structure: Subwave 5 of C
Position: Wave C of Y
Direction Next Lower Degrees: wave (5) of C continue  
Details:  Subwave Wave “4” looking completed at 0.87381. Subwave Wave “5”  may started. Wave Cancel invalid level: 0.89017 .
After Subwave 5 of C of Y new Trend(uptrend) expected
On 31st July 23, the day chart of the U.S. Dollar/Swiss Franc (USDCHF) pair is analyzed using Elliott Wave theory, indicating an overall counter-trend movement with an impulsive mode. The function of the price movement is identified as counter-trend, while the mode is characterized as impulsive.
The current structure is recognized as Subwave 5 of C, with the position of the price wave designated as Wave C of Y. The projected direction for the next lower degrees is wave (5) of C, indicating that this impulsive wave movement is part of a larger counter-trend wave pattern.
The analysis provides further details, suggesting that Subwave Wave "4" is likely to have completed around the level of 0.87381. Traders and investors are advised to closely monitor the market, as Subwave Wave "5" may have already started, and it could potentially continue the counter-trend impulsive movement.
It is vital to note that the wave count provided will lose its validity if the USDCHF price exceeds the level of 0.89017.
 
As of the specified date, 31st July 23, traders in the USDCHF market should closely observe the counter-trend impulsive movement and be prepared for the potential continuation of Subwave Wave "5" within the larger counter-trend Wave C of Y structure. Counter-trend trading involves higher risks, and traders should exercise caution and implement effective risk management practices.
The analysis also suggests the possibility of a new uptrend after the completion of Subwave 5 of C of Y. Traders should be alert for potential trend reversal signals and confirmation of the new uptrend before considering long positions.
While Elliott Wave analysis provides insights into potential market patterns and price movements, traders should supplement it with other technical indicators and fundamental factors to form a comprehensive trading strategy. Market conditions can change rapidly due to various factors, including economic data releases, geopolitical events, and shifts in market sentiment. Therefore, traders should remain adaptable to changing market conditions.
 
Proper risk management practices are essential in all trading endeavors to protect capital and manage potential losses. By staying informed and utilizing a well-rounded approach to trading, traders can make more informed decisions and improve their trading performance in the dynamic foreign exchange markets.
 

usd chf day chart.png

Link to comment

Create an account or sign in to comment

You need to be a member in order to leave a comment

Create an account

Sign up for a new account in our community. It's easy!

Register a new account

Sign in

Already have an account? Sign in here.

Sign In Now
  • image.png

  • Posts

    • What’s the average spread like, generally? How does it compare to current conditions? I’ve been using IG for over a decade, and I’ve noticed a growing sense of dissatisfaction, not just from myself but across various forums too. I think they really need to prioritize some core areas—like improving the iOS app and refining the API. While your issue may not be directly tied to the API, in theory, if you know how to use it well, it should offer a better experience compared to the web platform or the standard retail charts. Just my two cents. As for the problem, it’s definitely not about liquidity in these markets. I’d say it’s more likely due to the rise of algorithmic trading over the years. These high-speed algorithms can take advantage of price movements, often leading to short periods of slippage for regular traders as prices shift rapidly. Market orders, meant to execute quickly at the best available price, are more prone to slippage compared to limit orders. Since market orders prioritize speed, they don’t guarantee a specific price. If the market price changes in the short moment between when you place the order and when it's actually executed, your trade will go through at the new price, whether it’s better or worse than expected. This makes market orders riskier in fast-moving or volatile markets. By using the API along with a low-latency server, you can reduce the risk of slippage in some cases. What kind of latency are you experiencing with the API? Avoid using a home connection for this—opt for an affordable VPS, even a $5 one will significantly improve your experience.
    • Cardano’s 3.8% price surge might be from all the updates and partnerships they’ve been rolling out lately. I’ve noticed that every time they release some big news, like a new upgrade or collaboration, there’s always a jump in price. The community around Cardano is really strong too, which seems to play a role in driving things. A few weeks back, I swapped some tokens using https://stealthex.io , and I remember seeing a bunch of people talking about Cardano on forums. Maybe that hype is finally showing in the price. Either way, it’s nice to see some action in the market again.
    • Hi everyone, just a short post at this stage as I want to see if there is any interest in this topic first.  I’ll likely contact IG but wanted to see if there are other thoughts and experiences first as there are several issues I am seeing and it’s a bit complicated, so didn’t want to write some long rambling post. i trade the Dax and Nasdaq indices and use an automated strategy using the API.  I am effectively trying to do a trend trading strategy but on short timescales.  So i set fairly tight stops and then run those trades that leave the area to the plus side.  My win rate is low so have a lot of losers so slippage on stops is quite important to me. i have a database of trades and 5m data going back over 3years now - so have a lot of data to work with. i measured the stop slippage several years ago and it was fine for this method but have re measured it recently as I noticed the losing trades were a bit too large and it seems that the slippage has increased quite a lot for Nasdaq (not then Dax). I am trying to see what is behind this. Anyone interested or tackling similar issues? Thanks David 
×
×
  • Create New...
us