Interpreting the U.S. Bond Rally

The US has had an extended and very impressive rally in the prices U.S. Treasury securities.  The 10-year U.S. Treasury has seen its yield move from a recent high of 3.23% in early October 2018, down to 2.22% at the end of May 2019.  One of the most important questions is whether the Treasury rally is signaling that a US recession is imminent.  While we see U.S. real GDP decelerating into the second half of 2019, we do not yet see the US moving into an actual recession in the near future.  If that read is correct, then what is driving the U.S. bond market rally.  Well, there are a variety of interpretations as to why this move occurred.

Figure 1: US Treasury 10-Year Note Yield

Let’s examine a multiplicity of forces impacting the market.  (1) Subdued path of inflation.  (2) Influence of Germany and Japan government bond yields.   (3) Lose-Lose trade war yet lack of panic in U.S. equities.  (4) The unusually twisted shape of the U.S. yield curve.

Subdued Path of Inflation

U.S. inflation is subdued.  Persistently subdued inflation works to lower inflation expectations as well as increase the confidence that inflation risk will remain low for an extended period of time.  What this means is that the spread between the U.S. 10-Year Treasury yield and the historical core (excluding food and energy) inflation rate tends to narrow as more and more market participants accept the narrative that inflation will remain subdued for a long time.

Figure 2: US PCE Inflation Excluding Food and Energy

There are a several reasons that inflation has been subdued since the mid-1990s.  First, prudential regulation has increasingly focused on mitigating systematic financial risk through tight capital requirements for financial enterprises.  The result has been that central bank monetary policy, from zero rates to quantitative easing, does not lead to increased consumer and business lending, and so economic growth is not stimulated, inflation is not encouraged – only asset prices rise and volatility dampened.  Secondly, financial firms are much more proficient in their interest rate risk management than they were in 1970s or 1980s before interest rate futures were widely used.  Improved interest rate risk management in the 1990s and 2000s has meant that for a given small change in short-term interest rates, there is virtually no meaningful impact on financial firms’ earnings, and behavior is not changed.  Third, the Internet Age has brought amazing transparency to prices.  Consumers can comparison shop on their smart phones, and this has shifted pricing power away from businesses and constrained inflation pressures.  Fourth, while the era of globalization may now be going in reverse with the escalating US-China trade war, there is little question that trade growth and globalization has served to keep a lid on consumer prices for decades.  The bottom line, though, is that at every month inflation remains subdued, it provides fuel for lower government bond yields.

Influence of German and Japanese Government Bonds

The Bank of Japan is the king of quantitative easing.  Expanding its purchases of Japanese Government Bonds (JGBs) dramatically since 2013, it has anchored JGB yields near zero.   The European Central Bank (ECB), initially in the aftermath of the Great Recession of 2008-2009, chose to make emergency liquidity loans to the financial sector rather than purchase assets.  This policy changed in 2015, as the ECB embraced quantitative easing, which help drive German Bund yields to converge with JGBs.

Figure 3: 10-Year Government Bond Yields

By contrast, the U.S. Federal Reserve (Fed) was early to quantitative easing and massive asset purchases, but in 2018 the Fed switched gears and started to reduce the size of its balance sheet – quantitative tightening (QT).   We expect the Fed to end its balance sheet shrinkage in 2H/2019.  Moreover, even as the Fed’s balance sheet has shrunk, the Fed has been very careful not to shrink its holdings of longer-term U.S. Treasury securities, even as it allowed its short-term Treasuries and mortgage-backed security holdings to shrink. Thus, the shift to QT had virtually no impact on the long-term Treasury market.

Figure 4: Composition of Federal Reserve Assets

Still, the reality for global fixed income market participants is that U.S. 10-Year Treasuries offer 2.2% more yield than similar maturity German and Japanese bonds, and the exchange rate risk has been relatively modest among the U.S. dollar, euro, and Japanese yen.  Even with a little FX risk, there is a natural and powerful competitive pull from German and Japanese bond markets toward lower U.S. Treasury yields.

Escalating Trade War and U.S. Equities

There is no question that the US-China trade war has entered a new and escalated phase.  Both sides are dug into to what increasingly looks like a lose-lose situation for global economic growth.  The recent trade war developments have halted the upward momentum in U.S. equities.  There has been selling pressure among stocks impacted by the trade war, as well as defensive moves into high-dividend stocks.  What there has not been, at least through the end of May, is any signs of panic selling.  Markets have been orderly and a repeat of the rapid stock price deterioration of Q4/2018 has not occurred.  Our interpretation is that equities are appropriately re-pricing risks associated with the companies most impacted by an escalating trade war, but equity markets are not shifting to a focus on an imminent recession.  We do note that the Q4/2018 near-20% decline in U.S. equities convinced the Fed to stop its lock-step path to higher rates and shift to a policy of keeping rates on hold for 2019.  So, far the Q2/2019 equity pattern is in no way powerful enough to argue for a change in Fed policy or a rate cut.

Figure 5: E-Mini S&P 500

Unusual Shape of the Yield Curve

The U.S. Treasury yield curve has an unusual shape.  Back in early October 2018, just as the equity swoon was getting started, the yield curve had a modestly positive slope, with short-term yields below long-term yields.  Now, at the end of May 2019, the curve is inverted, short yields above long yields from the overnight federal funds rate (at 2.40%) and 3-month T-bills through to the 5-year Treasury Note (at 2.03%).  The 5-year yield is the low point, however, and as maturities increase to 10 years and longer, yields move back to a very modestly positive slope.

Figure 6: US Treasury Yield Curve Shape

When the full yield curve is flat or inverted, history has shown that more equity volatility and a potential recession may lie 12 to 24 months into the future.  Market participants ignore yield curve warnings at their peril.  We have certainly seen more equity volatility.  But does the short-maturity inversion signal a future recession when the long maturities partially disagree?

We would go with the conclusion that the yield curve is signaling that US and global economic growth is decelerating, but at this point forecasting an imminent U.S. recession seems a stretch.  We must point out that when the Q2/2019 U.S. real GDP data is published at the end of July 2019, it will mark this expansion as tying the record for the longest on record.  And the unemployment rate is still below 4%.  The Fed may well be worried, but probably not worried enough to cut rates any time soon.

Bottom Line

  • The Fed is data dependent.
  • A data-dependent Fed will not anticipate economic weakness, not from the trade war, a flat yield curve, a government shutdown or debt ceiling crisis, or any other cause.
  • A data-dependent Fed means the Fed needs to see inflation persist below 1% for a few months or it must observe a recessionary quarter before it will cut rates.
  • If inflation is headed below 1% and/or recession occurs, however, the Fed would not cut rates by 0.25%, we predict it would go full-bore to take the federal funds rate to 1% in just one or two meetings of the Federal Open Market Committee (FOMC), or maybe make one big cut an emergency unscheduled FOMC meeting.  The step-wise path of rate rises is not the pattern for rate decreases.

Combined Performance – All Collar Programs

Performance dates  January 2007 – May 2019

Recommended Starting Balance $250,000.00
Cumulative Net Profit
$1,879,482.14
Maximum Drawdown (11.48%)
($28,697.15)
Best Year 2008 +109.50% $273,757.93
Worst Year 2007 +12.80% $32,005.30
2007-2018 Average 60.55%
$151,367.69
2019 +32.85% $82,136.88

This ATA trades long & short with the trend using fully disclosed defined risk trading methodology (Collars). Margin requirements for this program have never exceeded $75,000 of the $250,000 start balance.

Performance is based on trading one $250,000 unit, never adding units and withdrawing all net profits annually. This program uses leverage, has a realistic risk factor of $50,000 USD per unit, if you are not in a position to comfortably assume this risk you should not participate in the program.

Collar Combined Performance Spreadsheet

Risk Disclosure     Defining Account Risk

2) Programs Traded

link ATA Mini-mum Start Date Average Per Year Max  Draw 2019
2.01 FX-C $100K 2007 77.15% -25.07% 16.14%
2.02 GE-C $50K 2014 101.21% -31.27% 89.57%
2.03 SP-C $25K 2007 114.83% -49.83% 66.23%
2.04 GC-C $25K 2005 99.66% -49.10% 18.63%

3) About Automated Trading Accounts (ATAs

3.01 Automated Trading Accounts (ATA)
3.02 The Fee Structure For This Program
3.03 Defining Overall Risk For Your Account
3.04 Exchanges Traded
3.05 Brokerage Firms
3.06 How Balances Are Guaranteed Plus or Minus Trading
3.07 How To Open An Account

9) Program Structure and Account Opening Procedure

9.1) ATA’s, What They Are and How They Work
9.2) The Fee Structure For This Program
9.3) Defining Overall Risk For Your Account

9.4) Exchanges Traded
9.5) Brokerage Firms
9.6) How Balances Are Guaranteed Plus or Minus Trading
9.7)
How To Open An Account

If you have questions send us a message or schedule an online review .

Regards,
Peter Knight Advisor

—————————————————————-

Privacy Notice

Disclosure

XAGUSD Silver

World ForexForex Analysis Homepage

1) Simplified Trend Qualification Procedure,

1.01) Pick a time frame to work with from 15 minutes to monthly.
1.02) If price action is above the red line and red is above blue = long.
1.03) For longs, the overall average on 2.01 must be greater than a 29% buy.
1.04) Risk on longs, if the red line moves below the blue exit the trade.
1.05) If price action is below the red line and the red is below the blue = short.
1.06) For shorts, the overall average on 2.01 must greater than a 29% sell.
1.07) Risk on shorts, if the red line moves above the blue exit the trade.
1.08) Same rules apply for all time periods
Prices are updated every 10 minutes if you have questions send me a message.

2) XAGUSD Analysis (cross cash market)

2.01) Today’s technical opinion
2.02) 1 day, using 5 minute bars
2.03) 2 day, 10 minute bars
2.04) 2 day, 15 minute
2.05) 4 day, 30 minute
2.06) 5 day, 60 minute
2.07) 5 day, 90 minute
2.08) 5 day, 120 minute
2.09) 10 day, 120 minute
2.10) 2 month, daily
2.11) 4 month, daily
2.12) 6 month, daily
2.13) 1 year, weekly
2.14) 2 year, weekly

2.15) 3 year weekly
2.16) 4 year, weekly
2.17) 5 year, monthly

2.18) 10 year, monthly
2.19) 15 year, monthly
2.20) 20 year, monthly
2.21) Support and resistance
2.22) 1 month performance leaders
2.23) 3 month performance leaders
2.24) 6 month performance leaders
2.25) 12 month performance leaders

3) ATA summary & account opening procedure

3.01) ATA’s, What They Are and How They Work
3.02) ATA Program Performance Page
3.03) The ATA Fee Structure
3.04) Defining Overall Risk For Your ATA Account
3.05) How Balances Are Guaranteed Plus or Minus Trading
3.06) How To Open An Account Minimums 12.5K to 500K

If you have any questions send a message or contact me.

Regards,
Peter Knight Advisor

—————————————————————-

Privacy Notice

Risk Disclosure

Contracts for Difference – No Collars (CFDs-NC)

CFD ATA Performance March 2015 – May 2019

Recommended Starting Balance $50,000.00
Cumulative Net Profit
$200,480.37
Maximum Drawdown (31.27%)
($16,993.50)
Best Year 2017 +95.77% $47,883.74
Worst Year 2016 +64.14% $32,069.25
20015-2019 Average +94.34% $47,171.85
2019 +57.07% $28,533.66

CFD Analysis Page

Performance is based on trading one $50,000 unit, never adding units and withdrawing all net profits annually. This program uses leverage, has a realistic risk factor of $20,000 USD per unit, if you are not in a position to comfortably assume this risk you should not participate in this program.

Risk Disclosure    Defining Account Risk

1) CFD Analysis Pages

# CFD Analysis Page H 2H D W M O
1.01 AAPL Apple Inc H 2H D W M O
1.02 AIG American Int. Group H 2H D W M O
1.03 AMD Adv Micro Devices H 2H D W M O
1.04 AMZN Amazon H 2H D W M O
1.05 AXP American Express H 2H D W M O
1.06 BA Boeing Co. H 2H D W M O
1.07 BAC Bank of America H 2H D W M O
1.08 C Citigroup Inc H 2H D W M O
1.09 CAT Caterpillar Inc H 2H D W M O
1.10 CSCO Cisco Systems Inc H 2H D W M O
1.11 CVX Chevron Corp H 2H D W M O
1.12 DIS Walt Disney Corp. H 2H D W M O
1.13 FB Face Book Inc. H 2H D W M O
1.14 FCHIX Franklin High H 2H D W M O
1.15* GDAXI DAX Index H 2H D W M O
1.16 GE General Electric H 2H D W M O
1.17 GOOGL Alphabet Cl A H 2H D W M O
1.18 HD Home Depot H 2H D W M O
1.19 HPQ Hewlett-Packard Co. H 2H D W M O
1.20* HSI Hang Seng Index H 2H D W M O
1.21 IBM I.B.M. H 2H D W M O
1.22 INTC Intel Corp H 2H D W M O
1.23* J225 Nikkei 225 H 2H D W M O
1.24 JNJ Johnson & Johnson H 2H D W M O
1.25 JPM JP Morgan Chase H 2H D W M O
1.26 KO Coca-Cola Co. H 2H D W M O
1.27 MCD Mcdonald’s Corp H 2H D W M O
1.28 MMM 3M Company H 2H D W M O
1.29 MRK Merck & Company H 2H D W M O
1.30 MSFT Microsoft Corp H 2H D W M O
1.31 NDX* Nasdaq 100 H 2H D W M O
1.32 NGAS* Natural Gas H 2H D W M O
1.33 ORCL Oracle Corp H 2H D W M O
1.34 PFE Pfizer Inc H 2H D W M O
1.35 PG Procter & Gamble H 2H D W M O
1.36 S&P* S&P 500 Index H 2H D W M O
1.37 STOXX50* Euro Stoxx 50 H 2H D W M O
1.38 T AT&T Inc H 2H D W M O
1.39 TRV Travelers Co. H 2H D W M O
1.40 UK100 FTSE 100 H 2H D W M O
1.41 UTX United Technologies H 2H D W M O
1.42 VZ Verizon H 2H D W M O
1.43 WMT Wal-Mart H 2H D W M O
1.44 XOM Exxon Mobil H 2H D W M O

2) Top Automated Trading Accounts (ATAs)

3) Program Structure and Account Opening Procedure

3.1) The Fee Structure For This Program
3.2) Defining Overall Risk For Your Account

3.3) Exchanges Traded
3.4) Brokerage Firms
3.5) How Balances Are Guaranteed Plus or Minus Trading
3.6) How To Open An Account

If you have any questions send a message or contact me

Regards,
Peter Knight Advisor

—————————————————————-

Privacy Notice

Disclosure

Global Energy Futures – uses collars (GE-C)

Global Energy ATA Performance July 2014 – May 2019

Recommended Starting Balance $50,000.00
Cumulative Net Profit
$248,797.53
Maximum Drawdown (31.27%)
($15,635.18)
Best Year 2014 +110.94% $55,468.63
Worst Year 2012 +39.94% $19,967.90
2007-2019 Average +101.21% $50,602.89
2019 +89.57% $44,786.81

Energy Analysis Page

This ATA trades long & short with the trend using fully disclosed defined risk trading methodology (Collars). Performance is based on trading one $50,000 unit, never adding units and withdrawing all net profits annually. This program has a realistic risk factor of $20,000 USD per unit if you are not in a position to comfortably assume this risk you should not participate in this program.

Risk Disclosure    Defining Account Risk  

1) Energy Analysis

Link Analysis Page 2 Hour Daily Weekly Opinion
1.1 Crude WTI Chart Chart Chart Opinion
1.2 Crude Brent Chart Chart Chart Opinion
1.3 Heating Oil Chart Chart Chart Opinion
1.4 Gasoline Chart Chart Chart Opinion
1.5 Natural Gas Chart Chart Chart Opinion
1.6 Quotes US Europe CB-CL GC/CL

2) Educational

General Information on Future and Futures Options

2.1) Futures Educational Videos (60)
2.2) Futures Options Educational Videos (34)

3) Energy Futures & Options Videos

3.1) Fundamentals and Energy Futures
3.2) Discover WTI: A Global Benchmark
3.3)
Understanding Crude Oil in the United States
3.4) Introduction to European Crude Oil
3.5)
Learn about Crude Oil Across Asia Region
3.6) Crude Oil Futures versus ETFs
3.7) The Benefits of Liquidity
3.8)
Understanding the Oil Data Report
3.9) A Look into the Refining Process
3.10)
Learn about the 1:1 Crack Spread
3.11) The Importance of Cushing, Oklahoma
3.12)
U.S. Resurgence in Global Crude Oil Production
3.13)Managing Risk in the Energy Market
3.14)
Trading Insight for Options on Crude Oil and Natural Gas
3.15)Revisiting the WTI-Brent Crude Oil Spread
3.16) Introduction to Natural Gas
3.17) Understanding Supply and Demand: Natural Gas
3.18) Introduction to Natural Gas Seasonality
3.19) Understanding Natural Gas Risk Management Spreads
3.20) Understanding the Henry Hub
3.21) Natural Gas Calendar Spread Options
3.22) About Heating Oil Futures

4) Energy Futures & Options Reports

4.1) Worldwide Oil – WTI / Brent Spread
4.2) Refining 101 – Understanding Crack Spreads
4.3) Natural Gas in a Producing Revolution
4.4) Crude Oil and Its Refined Products
4.5) Oil: How the Market Dynamics Have Changed
4.6) Trading the Curve in Energies
4.7) U.S. the Largest Crude Oil Producer
4.8) Surging U.S. Domestic Crude Grades Market
4.9) Are Crude Oil & Natural Gas Prices Linked?
4.10) WTI and the Changing Dynamics of Global Crude
4.11) Oil Traders Sell on the Rumor and Buy on the News
4.12) Veg Oil vs. Crude Oil: Tail Wagging the Dog?
4.13) Is Crude Oil Taking Cue from Vegetable Oils?
4.13) Natural Gas in a Producing Revolution

5) Program Structure and Account Opening Procedure

5.1) ATA’s, What They Are and How They Work
5.2) The Fee Structure For This Program
5.3) Defining Overall Risk For Your Account

5.4) Exchanges Traded
5.5) Brokerage Firms
5.6) How Balances Are Guaranteed Plus or Minus Trading
5.7)
How To Open An Account

If you have questions send us a message or schedule an online review .

Regards,
Peter Knight Advisor

—————————————————————-

Privacy Notice

Disclosure

CFDs (Contracts for Difference)

1) What’s Moving

1.1) Top Bottom Stock Indices All Exchanges
1.2) Top & Bottom Stocks All US Exchanges

2) Analysis Pages

# CFD Analysis Page H 2H D W M O
2.01 AAPL  Apple Inc H 2H D W M O
2.02 AIG  American Int. Group H 2H D W M O
2.03 AMD  Adv Micro Devices  H 2H D W M O
2.04 AMZN Amazon H 2H D W M O
2.05 AXP American Express H 2H D W M O
2.06 BA Boeing Co.  H 2H D W M O
2.07 BAC  Bank of America H 2H D W M O
2.08 C Citigroup Inc H 2H D W M O
2.09 CAT Caterpillar Inc H 2H D W M O
2.10 CSCO  Cisco Systems Inc H 2H D W M O
2.11 CVX Chevron Corp  H 2H D W M O
2.12 DIS Walt Disney Corp.  H 2H D W M O
2.13 FB Face Book Inc.  H 2H D W M O
2.14 FCHIX Franklin H.I. H 2H D W M O
2.15 GDAXI DAX Index H 2H D W M O
2.16 GE  General Electric  H 2H D W M O
2.17 GOOGL Alphabet Cl A H 2H D W M O
2.18 HD Home Depot H 2H D W M O
2.19 HPQ Hewlett-Packard Co. H 2H D W M O
2.20 HSI Hang Seng Index H 2H D W M O
2.21 IBM I.B.M.  H 2H D W M O
2.22 INTC  Intel Corp H 2H D W M O
2.23 J225 Nikkei 225 H 2H D W M O
2.24 JNJ Johnson & Johnson H 2H D W M O
2.25 JPM JP Morgan Chase H 2H D W M O
2.26 KO  Coca-Cola Co. H 2H D W M O
2.27 MCD Mcdonald’s Corp H 2H D W M O
2.28 MMM 3M Company H 2H D W M O
2.29 MRK Merck & Company H 2H D W M O
2.30 MSFT  Microsoft Corp H 2H D W M O
2.31 NDX Nasdaq 100 H 2H D W M O
2.32 NGAS Natural Gas  H 2H D W M O
2.33 ORCL Oracle Corp H 2H D W M O
2.34 PFE  Pfizer Inc H 2H D W M O
2.35 PG Procter & Gamble H 2H D W M O
2.36 S&P  S&P 500 Index H 2H D W M O
2.37 STOXX50 Euro Stoxx 50 H 2H D W M O
2.38 T AT&T Inc H 2H D W M O
2.39 TRV Travelers Co. H 2H D W M O
2.40 UK100 FTSE 100 H 2H D W M O
2.41 UTX United Technologies H 2H D W M O
2.42 US Crude West Texas Crude H 2H D W M O
2.43 VZ Verizon H 2H D W M O
2.44 WMT Wal-Mart H 2H D W M O
2.45 XAUEUR Gold EUR H 2H D W M O
2.46 XAUUSD Gold USD H 2H D W M O
2.47 XOM Exxon Mobil H 2H D W M O

3) Automated Trading Accounts (ATAs)

4) Program Structure and Account Opening Procedure

5.1) Automated Trading Accounts (ATA)
5.2) The Fee Structure For This Program
5.3) Defining Overall Risk For Your Account

5.4) Exchanges Traded
5.5) Brokerage Firms
5.6) How Balances Are Guaranteed Plus or Minus Trading
5.7) How To Open An Account

If you have any questions send a message or contact me

Regards,
Peter Knight Advisor

—————————————————————-

Privacy Notice

Disclosure

Exxon Mobil XOM

1) Simplified Trend Qualification Procedure,

1.1) Pick a time frame to work with 30 Minute, Hourly, or 2 Hour.
1.2) If price action above the red line and red line is above the blue = long.
1.3) For longs, overall average on 2.1 below must greater than a 29% buy.
1.4) Risk on longs, if the red line moves below the blue exit the trade.
1.5) If price action is below the red line and the red is below the blue = short.
1.6) For shorts, overall average on 2.1 below must greater than a 29% sell.
1.7) Risk on shorts, if the red line moves above the blue exit the trade.
1.8) Same rules apply for all time periods 30 minute to monthly.
Prices are updated every 10 minutes if you have questions send a message.

2) XOM Exxon Mobil

2.1) Today’s Technical Opinion
2.2) 2 day chart, 15 minute data
2.3) 3 day chart, 30 minute
2.4) 5 day chart, 60 minute data
2.5) 10 day chart 120 minute
2.6) 3 month chart, daily
2.7) 9 month chart, daily
2.8) 1 year chart, weekly
2.9) 3 year chart, weekly
2.10) 7 year Chart, monthly
2.11) 15 year chart using monthly data
2.12) 1983 (or oldest date available) – Current Chart
2.13) Options Quotes
2.14)
Ranges & Price Performance

2.15) Support & Resistance

If you have questions send a message or contact me

Regards,
Peter Knight Advisor

—————————————————————-

Privacy Notice

Disclosure

Wal-Mart WMT

1) Simplified Trend Qualification Procedure,

1.1) Pick a time frame to work with 30 Minute, Hourly, or 2 Hour.
1.2) If price action above the red line and red line is above the blue = long.
1.3) For longs, overall average on 2.1 below must greater than a 29% buy.
1.4) Risk on longs, if the red line moves below the blue exit the trade.
1.5) If price action is below the red line and the red is below the blue = short.
1.6) For shorts, overall average on 2.1 below must greater than a 29% sell.
1.7) Risk on shorts, if the red line moves above the blue exit the trade.
1.8) Same rules apply for all time periods 30 minute to monthly.
Prices are updated every 10 minutes if you have questions send a message.

2) WMT Wal-Mart

2.1) Today’s Technical Opinion
2.2) 2 day chart, 15 minute data
2.3) 3 day chart, 30 minute
2.4) 5 day chart, 60 minute data
2.5) 10 day chart 120 minute
2.6) 3 month chart, daily
2.7) 9 month chart, daily
2.8) 1 year chart, weekly
2.9) 3 year chart, weekly
2.10) 7 year Chart, monthly
2.11) 15 year chart using monthly data
2.12) 1983 (or oldest date available) – Current Chart
2.13) Options Quotes
2.14)
Ranges & Price Performance

2.15) Support & Resistance

If you have questions send a message or contact me

Regards,
Peter Knight Advisor

—————————————————————-

Privacy Notice

Disclosure

Verizon VZ

1) Simplified Trend Qualification Procedure,

1.1) Pick a time frame to work with 30 Minute, Hourly, or 2 Hour.
1.2) If price action above the red line and red line is above the blue = long.
1.3) For longs, overall average on 2.1 below must greater than a 29% buy.
1.4) Risk on longs, if the red line moves below the blue exit the trade.
1.5) If price action is below the red line and the red is below the blue = short.
1.6) For shorts, overall average on 2.1 below must greater than a 29% sell.
1.7) Risk on shorts, if the red line moves above the blue exit the trade.
1.8) Same rules apply for all time periods 30 minute to monthly.
Prices are updated every 10 minutes if you have questions send a message.

2) VZ Verizon

2.1) Today’s Technical Opinion
2.2) 2 day chart, 15 minute data
2.3) 3 day chart, 30 minute
2.4) 5 day chart, 60 minute data
2.5) 10 day chart 120 minute
2.6) 3 month chart, daily
2.7) 9 month chart, daily
2.8) 1 year chart, weekly
2.9) 3 year chart, weekly
2.10) 7 year Chart, monthly
2.11) 15 year chart using monthly data
2.12) 1983 (or oldest date available) – Current Chart
2.13) Options Quotes
2.14)
Ranges & Price Performance

2.15) Support & Resistance

If you have questions send a message or contact me

Regards,
Peter Knight Advisor

—————————————————————-

Privacy Notice

Disclosure

United Technologies UTX

1) Simplified Trend Qualification Procedure,

1.1) Pick a time frame to work with 30 Minute, Hourly, or 2 Hour.
1.2) If price action above the red line and red line is above the blue = long.
1.3) For longs, overall average on 2.1 below must greater than a 29% buy.
1.4) Risk on longs, if the red line moves below the blue exit the trade.
1.5) If price action is below the red line and the red is below the blue = short.
1.6) For shorts, overall average on 2.1 below must greater than a 29% sell.
1.7) Risk on shorts, if the red line moves above the blue exit the trade.
1.8) Same rules apply for all time periods 30 minute to monthly.
Prices are updated every 10 minutes if you have questions send a message.

2) UTX United Technologies

2.1) Today’s Technical Opinion
2.2) 2 day chart, 15 minute data
2.3) 3 day chart, 30 minute
2.4) 5 day chart, 60 minute data
2.5) 10 day chart 120 minute
2.6) 3 month chart, daily
2.7) 9 month chart, daily
2.8) 1 year chart, weekly
2.9) 3 year chart, weekly
2.10) 7 year Chart, monthly
2.11) 15 year chart using monthly data
2.12) 1983 (or oldest date available) – Current Chart
2.13) Options Quotes
2.14)
Ranges & Price Performance

2.15) Support & Resistance

If you have questions send a message or contact me

Regards,
Peter Knight Advisor

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