Investment Tools And Research To Help Make You A More Confident And Profitable Trader. FREE 30 Day Trial
or

Euro/Swiss Franc (^EURCHF)

0.92600 +0.00332 (+0.36%) 04/11/25 [FOREX]
0.92580 x N/A 0.92610 x N/A
underlying price ()
Trader's Cheat Sheet for Fri, Apr 11th, 2025
Watch
    Add or delete the symbol from one or more Watchlists.
Using The Trader's Cheat Sheet To Identify Support & Resistance: Watch the Webinar
Projection Effective Date: Apr 14th, 2025
Support/Resistance
Turning Points
Support/Resistance Levels Price Key Turning Points
1.08014 Price Crosses 9-18 Day Moving Average
14 Day RSI at 80% 1.07192
1.05147 Price Crosses 9-40 Day Moving Average
14 Day RSI at 70% 1.00154
0.99934 Price Crosses 18-40 Day Moving Average
52-Week High 0.99318
13-Week High 0.96622
1-Month High 0.96622
0.96544 61.8% Retracement from the 52 Week Low
0.95687 50% Retracement From 52 Week High/Low
0.95684 Price Crosses 18 Day Moving Average Stalls
0.95502 14-3 Day Raw Stochastic at 80%
0.95415 3-10-16 Day MACD Moving Average Stalls
0.95363 Price Crosses 9 Day Moving Average Stalls
0.95093 14-3 Day Raw Stochastic at 70%
0.94942 38.2% Retracement From 4 Week High
0.94942 38.2% Retracement From 13 Week High
0.94830 38.2% Retracement From 52 Week Low
0.94814 Price Crosses 40 Day Moving Average
0.94648 Price Crosses 18 Day Moving Average
0.94525 14 Day RSI at 50%
0.94432 Price Crosses 40 Day Moving Average Stalls
0.94423 50% Retracement From 4 Week High/Low
0.94423 50% Retracement From 13 Week High/Low
0.94273 14-3 Day Raw Stochastic at 50%
Pivot Point 3rd Level Resistance 0.94101
0.93904 38.2% Retracement From 4 Week Low
0.93904 38.2% Retracement From 13 Week Low
Price 3 Standard Deviations Resistance 0.93869
0.93813 Price Crosses 9 Day Moving Average
Pivot Point 2nd Level Resistance 0.93651
Price 2 Standard Deviations Resistance 0.93636
0.93453 14-3 Day Raw Stochastic at 30%
Price 1 Standard Deviation Resistance 0.93333
0.93206 14 Day %k Stochastic Stalls
High 0.93200 High
Pivot Point 1st Resistance Point 0.93125
0.93044 14-3 Day Raw Stochastic at 20%
0.92675 Pivot Point
Last 0.92600 Last
Previous Close 0.92268 Previous Close
1-Month Low 0.92224
13-Week Low 0.92224
Low 0.92224 Low
Pivot Point 1st Support Point 0.92149
52-Week Low 0.92056
Price 1 Standard Deviation Support 0.91867
Pivot Point 2nd Support Point 0.91699
Price 2 Standard Deviations Support 0.91564
14 Day RSI at 30% 0.91461
Price 3 Standard Deviations Support 0.91331
0.91256 3-10 Day Moving Average Crossover Stalls
Pivot Point 3rd Support Point 0.91173
14 Day RSI at 20% 0.87631
N/A 14 Day %d Stochastic Stalls

Standard deviation is calculated using the closing price over the past 5-periods. To calculate standard deviation:

  • Step 1: Average = Calculate the average closing price over the past 5-days.
  • Step 2: Difference = Calculate the variance from the Average for each Price.
  • Step 3: Square the variance of each data point.
  • Step 4: Sum of the squared variance value.
  • Step 5: For Standard Deviation 2 multiple the result by 2. For Standard Deviation 3 multiple the result by 3.
  • Step 6: Divide the result by the number of data points in the series less 1.
  • Step 7: The final result is the Square root of the result of Step 6.
Legend:
Blue areas below the Last Price will tend to provide support to limit the downward move.
Red areas above the Last Price will tend to provide resistance to limit the upward move.
Blue areas above the Last Price will tend to provide support to confirm the upward move.
Red areas below the Last Price will tend to provide resistance to confirm the downward move.
Want to use this as
your default charts setting?
Save this setup as a Chart Templates
Switch the Market flag
for targeted data from your country of choice.
Open the menu and switch the
Market flag for targeted data from your country of choice.
Want Streaming Chart Updates?
Switch your Site Preferences
to use Interactive Charts
Need More Chart Options?
Right-click on the chart to open the Interactive Chart menu.
Use your up/down arrows to move through the symbols.
Free Barchart Webinar