Less than $10/month! Screen on your Watchlists and Portfolios with Barchart Plus. FREE 30 Day Trial
or
Faster, Cleaner, Better.

Bio-Matrix Scientific Group Inc (BMSN)

Bio-Matrix Scientific Group Inc (BMSN)
0.2600 unch (unch) 09/19/20 [OTC US]
N/A x N/A N/A x N/A
Realtime by (Cboe BZX)
N/A x N/A N/A x N/A
Realtime - - (-) -
Trader's Cheat Sheet for Fri, Sep 18th, 2020
Using The Trader's Cheat Sheet To Identify Support & Resistance: Watch the Webinar
Projection Effective Date: Sep 21st, 2020
Support/Resistance
Turning Points
Support/Resistance Levels Price Key Turning Points
52-Week High 400.0000
247.2005 61.8% Retracement from the 52 Week Low
200.0007 50% Retracement From 52 Week High/Low
152.8008 38.2% Retracement From 52 Week Low
14 Day RSI at 80% 1.2883
1.1704 Price Crosses 18-40 Day Moving Average
0.8601 Price Crosses 9-40 Day Moving Average
13-Week High 0.8300
14 Day RSI at 70% 0.7516
0.6895 Price Crosses 9-18 Day Moving Average
0.5401 38.2% Retracement From 13 Week High
0.4505 50% Retracement From 13 Week High/Low
0.4181 3-10-16 Day MACD Moving Average Stalls
1-Month High 0.4100
0.3642 Price Crosses 40 Day Moving Average
0.3609 38.2% Retracement From 13 Week Low
0.3480 14-3 Day Raw Stochastic at 80%
0.3381 Price Crosses 18 Day Moving Average
0.3357 14 Day %d Stochastic Stalls
0.3300 Price Crosses 9 Day Moving Average Stalls
0.3222 14 Day RSI at 50%
0.3220 14-3 Day Raw Stochastic at 70%
Pivot Point 2nd Level Resistance 0.3200
0.3161 Price Crosses 9 Day Moving Average
0.3069 38.2% Retracement From 4 Week High
High 0.3050 High
Pivot Point 1st Resistance Point 0.2900
0.2855 Price Crosses 40 Day Moving Average Stalls
0.2750 Pivot Point
0.2750 50% Retracement From 4 Week High/Low
0.2700 14-3 Day Raw Stochastic at 50%
Low 0.2600 Low
Previous Close 0.2600 Previous Close
Last 0.2600 Last
0.2511 14 Day %k Stochastic Stalls
0.2500 Price Crosses 18 Day Moving Average Stalls
Pivot Point 1st Support Point 0.2450
0.2431 38.2% Retracement From 4 Week Low
Pivot Point 2nd Support Point 0.2300
0.2257 3-10 Day Moving Average Crossover Stalls
0.2180 14-3 Day Raw Stochastic at 30%
0.1920 14-3 Day Raw Stochastic at 20%
1-Month Low 0.1400
13-Week Low 0.0710
52-Week Low 0.0013
Pivot Point 3rd Level Resistance N/A
Pivot Point 3rd Support Point N/A
14 Day RSI at 20% 0.0000
14 Day RSI at 30% 0.0000
Price 1 Standard Deviation Support N/A
Price 2 Standard Deviations Support N/A
Price 3 Standard Deviations Support N/A
Price 1 Standard Deviation Resistance N/A
Price 2 Standard Deviations Resistance N/A
Price 3 Standard Deviations Resistance N/A

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
Market Leaders Revealed: How to Spot the S&P 500's Top Performers Before the Crowd