admin, Author at Global Financial Engineering,Inc

admin March 26, 2023 No Comments

Overview of global financial markets

These markets consist of various interconnected financial systems where individuals, businesses such as Global Financial Engineering, and governments can buy and sell financial assets, such as stocks, bonds, and currencies. They play a crucial role in the global economy, allowing for the efficient allocation of resources and risk management. Here are some key components of global financial markets:

Stock Markets: These are markets where shares of publicly traded companies are bought and sold. Stock markets allow companies to raise capital by issuing shares and provide a platform for investors to trade these shares. Examples of major stock exchanges include the New York Stock Exchange (NYSE), the NASDAQ, the London Stock Exchange (LSE), and the Tokyo Stock Exchange (TSE).
Bond Markets: Bonds are debt securities issued by governments or corporations to raise capital. Investors lend money to the issuer in exchange for periodic interest payments and the repayment of the principal amount at maturity. The bond market is divided into two segments: the primary market, where new bonds are issued, and the secondary market, where existing bonds are traded. Some of the largest bond markets are the U.S. Treasury market, the European government bond market, and the corporate bond market.
Foreign Exchange (Forex) Market: The forex market is where currencies are traded. It’s the largest and most liquid financial market in the world, with a daily trading volume of over $6 trillion. Participants in the forex market include banks, corporations, institutional investors, and individual traders. The market operates 24 hours a day, 5 days a week, and is decentralized, meaning transactions occur directly between participants without the need for a centralized exchange.
Commodity Markets: These markets involve the trading of raw materials, such as oil, gold, agricultural products, and metals. Commodity trading can be conducted through spot markets, where commodities are traded for immediate delivery, or through futures markets, where contracts are made for the future delivery of a commodity at a specified price.
Derivative Markets: Derivatives are financial instruments whose value is derived from an underlying asset, such as stocks, bonds, or commodities. Derivatives can be used for various purposes, including hedging, speculation, and arbitrage. Common types of derivatives include options, futures, and swaps. Major derivative exchanges include the Chicago Mercantile Exchange (CME), the Intercontinental Exchange (ICE), and Eurex.
Money Markets: These are short-term debt markets where financial instruments with high liquidity and short maturities are traded. Participants in the money market include banks, financial institutions, and governments. Common money market instruments include treasury bills, commercial paper, and repurchase agreements.
Private Equity and Venture Capital: These are sources of financing for private companies or startups, generally in exchange for an ownership stake. Private equity firms invest in more mature companies, while venture capital firms focus on early-stage startups with high growth potential.

Global financial markets are interconnected, and events in one market can often have ripple effects on others. Investors and policymakers monitor these markets closely to identify trends, assess risks, and make informed decisions.

Cost-push inflation occurs when the overall price level increases due to higher production costs, such as increased costs of raw materials or labor. An increase in interest rates can contribute to cost-push inflation under certain conditions.

admin March 23, 2023 No Comments

What are the conditions for an increase in Interest rate to cause cost push inflation

Cost-push inflation occurs when the overall price level increases due to higher production costs, such as increased costs of raw materials or labor. An increase in interest rates can contribute to cost-push inflation under certain conditions. Here are some of the conditions that might lead to cost-push inflation caused by an increase in interest rates:

Higher borrowing costs: When central banks raise interest rates, borrowing money becomes more expensive for businesses. This higher cost of borrowing can lead to increased production costs, as companies may need to take on more expensive loans to finance their operations or invest in new projects. In turn, businesses may pass these increased costs onto consumers, resulting in cost-push inflation.
Increased debt servicing costs: Higher interest rates can also lead to increased debt servicing costs for companies that have already taken on debt. As their interest expenses rise, they may need to raise prices to maintain profitability, which can contribute to cost-push inflation.
Currency appreciation: An increase in interest rates can lead to currency appreciation, as higher rates can attract foreign investment. This can make imports cheaper and exports more expensive, potentially leading to a decline in domestic production. If the decline in domestic production is significant enough, it can result in supply-side constraints, causing prices to rise and contributing to cost-push inflation.
Input costs: If businesses rely heavily on credit to finance the purchase of raw materials or other inputs, an increase in interest rates can lead to higher input costs. As businesses pass these increased costs on to consumers, cost-push inflation may result.

It’s important to note that the relationship between interest rates and cost-push inflation is complex, and the impact of higher interest rates on inflation can vary depending on various factors, such as the overall economic environment, fiscal policy, and the structure of the economy.

What are the consequences of a continuous rise in interest rate

A continuous rise in interest rates can have several consequences on the economy, businesses, and consumers. Here are some of the potential effects:

Slower economic growth: Higher interest rates can lead to a decrease in consumer spending and business investment, as borrowing becomes more expensive. This can result in slower economic growth or even a recession in some cases.
Tighter credit conditions: As interest rates rise, banks may become more cautious in their lending practices, leading to tighter credit conditions. This can make it more difficult for individuals and businesses to obtain loans, further slowing down economic activity.
Increased debt burden: Higher interest rates can lead to an increased debt burden for both consumers and businesses, as the cost of servicing existing debt increases. This can lead to financial strain and may result in higher default rates.
Lower asset prices: Rising interest rates can put downward pressure on asset prices, such as stocks, bonds, and real estate. This is because higher interest rates can decrease the present value of future cash flows, making these assets less attractive to investors.
Currency appreciation: As mentioned earlier, an increase in interest rates can attract foreign capital, leading to an appreciation of the domestic currency. While this can have some benefits, such as making imports cheaper, it can also hurt export-oriented industries, as their products become more expensive for foreign consumers.
Income redistribution: Higher interest rates can lead to a redistribution of income from borrowers to savers. Borrowers face higher interest costs, while savers earn more interest on their deposits. This can exacerbate income inequality if the distribution of debt and savings is uneven across the population.
Potential inflationary effects: While higher interest rates are often used as a tool to combat inflation, they can also contribute to cost-push inflation, as explained in the previous answer.

It’s important to note that the effects of a continuous rise in interest rates can depend on various factors, such as the overall economic environment, the pace of the increase, and the starting level of interest rates. Central banks typically adjust interest rates to strike a balance between promoting economic growth and maintaining price stability, so they closely monitor the potential consequences of their actions.

admin March 5, 2023 No Comments

How does financial engineering firms like Global financial engineering make use of big data and machine learning

Financial engineering firms like Global financial engineering make use of big data and machine learning in several ways, including:

Data collection and analysis: Financial engineering firms collect and analyze large amounts of financial data to identify patterns, trends, and correlations. Machine learning algorithms can help to identify hidden patterns in data that humans may miss, and can also help to identify outliers and anomalies.
Risk management: Big data and machine learning can be used to assess and manage risk in financial markets. Financial engineering firms can use machine learning algorithms to build predictive models that can identify potential risks and help to mitigate them.
Algorithmic trading: Financial engineering firms use algorithms to automate trading decisions. Machine learning algorithms can be used to analyze market data and make trading decisions based on that analysis.
Portfolio optimization: Financial engineering firms use big data and machine learning to optimize portfolios. Machine learning algorithms can be used to identify the optimal mix of assets for a given investment objective, taking into account factors such as risk, return, and correlation.
Fraud detection: Financial engineering firms use big data and machine learning to detect and prevent fraud. Machine learning algorithms can be used to identify unusual patterns of activity that may indicate fraudulent behavior.

Overall, financial engineering firms like Global financial engineering make extensive use of big data and machine learning to improve their decision-making, reduce risk, and generate better returns.

Global financial engineering, like many other financial engineering firms, uses big data in several ways to gain insights and make better decisions. Here are a few examples:

Market analysis: Global financial engineering uses big data to analyze various financial markets and instruments. They collect and analyze vast amounts of data from various sources such as market data, news articles, and social media. By using machine learning algorithms, they can extract relevant information from unstructured data, such as natural language processing techniques to identify sentiment and opinions expressed in news articles or social media posts. This helps them to identify emerging trends and opportunities, and make informed investment decisions.
Risk management: Global financial engineering uses big data to assess and manage risk in their portfolios. They collect data from various sources, including historical market data and economic indicators, and use machine learning algorithms to identify patterns and correlations. This helps them to understand the risk profile of their portfolios better and manage it more effectively.
Portfolio optimization: Global financial engineering uses big data to optimize their investment portfolios. They collect data on various assets, including stocks, bonds, and commodities, and use machine learning algorithms to identify the optimal mix of assets for a given investment objective. They take into account factors such as expected return, risk, and correlation, and use this information to construct portfolios that are well-diversified and designed to achieve specific investment goals.
Fraud detection: Global financial engineering uses big data to detect and prevent fraud. They use machine learning algorithms to analyze large amounts of data to identify unusual patterns of activity that may indicate fraudulent behavior. This includes analyzing transaction data, user behavior, and other types of data to detect anomalies that may indicate fraudulent activity.

In summary, Global financial engineering uses big data to gain insights, manage risk, optimize portfolios, and detect fraud. By using machine learning algorithms to analyze vast amounts of data, they can make more informed decisions and generate better returns.

admin February 26, 2023 No Comments

Global G7 Combo Forex Trading Strategy Explained

Global G7 Combo Forex Trading Strategy was developed by Dr. Glen Brown for his Global Multi-Asset Class Professional Proprietary Trading Firm.

The strategy trade the 7 major forex pairs namely:
**The euro and US dollar: EUR/USD.
**The US dollar and Japanese yen: USD/JPY.
**The British pound sterling and US dollar: GBP/USD.
**The US dollar and Swiss franc: USD/CHF.
**The Australian dollar and US dollar: AUD/USD.
**The US dollar and Canadian dollar: USD/CAD.
**The New Zealand dollar and US dollar: NZD/USD.

We add each currency pair to the Global Algorithmic Trading Software(GATS)-System #1 to #6 risking 0.01% per trade with a Global Traders Stop Loss of one times the Daily Average True Range (DATR) and a normal trailing stop of 350 points.

Global Algorithmic Trading Software(GATS)-System #1 to #6 uses computer codes and chart analysis to enter and exit trades according to set parameters such as price movements or volatility levels. Once the current market conditions match any predetermined criteria within the software, the trading algorithms will execute a buy or sell order on your behalf.

Global Algorithmic Trading Software(GATS) runs on MetaTrader 4, the most popular trading platform in the world. MetaTrader 4 is an advanced trading platform that gives you access to a range of tools and features to help you carry out analysis and customize your trading experience.

The value of the Daily Average True Range (DATR) indicates how much price is expected to move against a existing trend without a material trend change. We are fully aware that the Daily Average True Range (DATR) could generate whipsaws that lead to stop out. If this happens we could increase the Global Traders Stop Loss(GTSL) to two times the Daily Average True Range (DATR).

The main purpose of using the Daily Average True Range (DATR) is to create a Global Traders Stop Loss(GTSL) line that follows the trend and gives an exit signal as soon we see a possible change of trend.

1998 was a brutal year for Long-Term Capital Management L.P. (LTCM) and we learn from it!

Long-Term Capital Management (LTCM) was a hedge fund that was founded in 1994 by a group of financial experts, including Nobel Prize-winning economists. The fund’s trading strategy involved using mathematical models to identify pricing inefficiencies in the bond market and then taking leveraged positions to exploit those inefficiencies.

The strategy was highly complex and relied on sophisticated models and algorithms to identify market opportunities.

Despite its initial success, LTCM experienced significant losses in 1998 due to a number of factors, including a sudden and unexpected decline in bond prices, a sharp increase in market volatility, and the inability of the fund’s trading strategy to adapt to changing market conditions. The losses were so severe that they threatened to destabilize the global financial system, and the Federal Reserve was forced to orchestrate a bailout of the fund to prevent a wider financial crisis.

The collapse of LTCM is widely regarded as a cautionary tale of the risks associated with highly leveraged trading strategies and the dangers of relying too heavily on mathematical models and algorithms without accounting for the unpredictable and changing nature of financial markets.

The experience of LTCM underscores the importance of risk management and the need to be prepared to adapt to changing market conditions, even when using advanced trading strategies.

Trading Risk Disclaimer

Trading foreign exchange on margin carries a high level of risk, and may not be suitable for all investors. The high degree of leverage can work against you as well as for you. Before deciding to trade foreign exchange you should carefully consider your investment objectives, level of experience, and risk appetite. The possibility exists that you could sustain a loss of some or all of your initial investment and therefore you should not invest money that you cannot afford to lose. You should be aware of all the risks associated with foreign exchange trading, and seek advice from an independent financial advisor if you have any doubts.

Futures trading involves the potential for substantial risk of loss as well as substantial gains, and is not suitable for every investor. The highly leveraged nature of futures trading means that small market movements will have a great impact on your trading account and this can work against you, leading to large losses or can work for you, leading to large gains. If the market moves against you, you may sustain a total loss greater than the amount you deposited into your account.

You are responsible for all the risks and financial resources you use and for the chosen trading system. You should not engage in trading unless you fully understand the nature of the transactions you are entering into and the extent of your exposure to loss. If you do not fully understand these risks you must seek independent advice from your financial advisor. All trading strategies are used at your own risk. It is your responsibility to confirm and decide which trades to make. Trade only with risk capital; that is, trade with money that, if lost, will not adversely impact your lifestyle and your ability to meet your financial obligations.

U.S. Government Required Disclaimer – Commodity Futures Trading Commission. Futures and options trading has large potential rewards, but also large potential risk. You must be aware of the risks and be willing to accept them in order to invest in the futures and options markets. Don’t trade with money you can’t afford to lose. This is neither a solicitation nor an offer to Buy/Sell futures. No representation is being made that any account will or is likely to achieve profits or losses similar to those discussed on this website. The past performance of any trading system or methodology is not necessarily indicative of future results.

CFTC RULE 4.41 – HYPOTHETICAL OR SIMULATED PERFORMANCE RESULTS HAVE CERTAIN LIMITATIONS. UNLIKE AN ACTUAL PERFORMANCE RECORD, SIMULATED RESULTS DO NOT REPRESENT ACTUAL TRADING. ALSO, SINCE THE TRADES HAVE NOT BEEN EXECUTED, THE RESULTS MAY HAVE UNDER-OR-OVER COMPENSATED FOR THE IMPACT, IF ANY, OF CERTAIN MARKET FACTORS, SUCH AS LACK OF LIQUIDITY. SIMULATED TRADING PROGRAMS IN GENERAL ARE ALSO SUBJECT TO THE FACT THAT THEY ARE DESIGNED WITH THE BENEFIT OF HINDSIGHT. NO REPRESENTATION IS BEING MADE THAT ANY ACCOUNT WILL OR IS LIKELY TO ACHIEVE PROFIT OR LOSSES SIMILAR TO THOSE SHOWN

admin February 19, 2023 No Comments

We are still bearish on $MMM

We at Global financial Engineering, are still bearish on 3M Co.( $MMM).

Today March 18, 2023 3M Co.( $MMM) is trading at $103.05 with a bearish market structure.

We are maintaining our 3M Co.( $MMM) Price Projection Low at $70.28

Today February 19, 2023 3M Co.( $MMM) is trading at $112.85 with a bearish market structure. We are maintaining our 3M Co.( $MMM) Price Projection Low at $70.28

On September 04, 2022 (see Global Financial Engineering Weekly Commentary for 3M Co.( $MMM) by Dr. Glen Brown – Global Financial Engineering, Inc ), We wrote:

Dark days might be ahead for 3M Co.( $MMM)! The company filed for bankruptcy for Aearo Technologies, a subsidiary that once made the earplugs, as a way to fence off the litigation from the rest of 3M.
We will attempt a Bearish 3M Co.( $MMM) trade based on the current bearish market structure as shown on the Global Algorithmic Trading Software (GATS) #5 with potential trade entry signal as follows:

Global Potential Trade Entry Signal #1:$121.33
Global Maximum Catastrophe Hard Stop Loss GAP:7×3.4024)=$10.21
Global Maximum Catastrophe Trailing Stop: 7×3.4024= $10.21
Global Maximum Profit Target: 3 x $10.21 = $30.63

Global Take Profit Target = $121.33 – $30.63 = $90.70

Current Price as of September 03, 2022: $121.34

We could see the MMM trading at $90.70 within a few weeks!

Today October 09,2022 3M Co.( $MMM) is trading at $107.50 just about $17.00 away from our first target.
The big question is what is the Projection low from this Current Market Price(CMP) of $107.50

We can use the Global Algorithmic Fair Value Model (GAFVM) to extract the data for our Global Forecast Price Projection Model(GFPPM).

The Global Algorithmic Fair Value Model (GAFVM) gives us three(3) values namely: Upper Fair Value(UFV), Mid Fair Value(MFV), and Lower Fair Value(LFV).

These values are then incorporated into our Global Forecast Price Projection Model(GFPPM).

Our Forecast Price Projection is derived from the following formulae.

Projection Low = Current Market Price(CMP) – ((Upper Fair Value(UFV) – Current Market Price(CMP))

Projection High = Current Market Price(CMP) + ((Current Market Price(CMP) – Lower Fair Value(LFV))

Our Global Valuation Gap(GVG) is the difference between the Current Market Price(CMP) and Upper or Lower Fair Value.

At this date our Global Algorithmic Fair Value Model (GAFVM) indicates the following 3M Co.( $MMM):

Upper Fair Value(UFV) = 144.72, Mid Fair Value(MFV) = 143.16 and Lower Fair Value(LFV) = 141.64

Based on the above, we can calculate the potential low for 3M Co.( $MMM) using the Current Market Price(CMP)= $107.50.

3M Co.( $MMM) Price Projection Low = Current Market Price(CMP) – ((Upper Fair Value(UFV) – Current Market Price(CMP))

3M Co.( $MMM) Price Projection Low = 107.50 – ((144.72 – 107.50))= 107.50 – 37.22 = 70.28

From the above, we at Global conclude that there is a high probability that we could see 3M Co.( $MMM) trading at $70.28 in the near future.

Today February 19, 2023 3M Co.( $MMM) is trading at $112.85 with a bearish market structure.

We are maintaining our 3M Co.( $MMM) Price Projection Low at $70.28

admin January 21, 2023 No Comments

Global Financial Engineering Weekly Commentary for Gold Futures by Dr. Glen Brown

Gold futures are standardized, exchange-traded contracts in which the contract buyer agrees to take delivery, from the seller, a specific quantity of gold at a predetermined price on future delivery date. Gold futures give companies involved in the precious metals industry a way to hedge their gold price risk on an expected future purchase or sale of gold. They also allow investors to participate in an easy and convenient alternative to traditional means of investing in gold. Gold can be considered the ultimate store of value. Buying gold futures contracts as an anti-inflation hedge may be their primary use. The liquidity of the gold futures contract often makes it easier to take advantage of opportunities in nearly all market conditions. (Source: https://www.schwab.com/futures/gold)

At Global Financial Engineering, Inc. we believe that each trade should have a name. Hence within our trading models, we have four (4) types of trades that we execute daily.

These are:

Global Micro-Trend Trades
Global Short-Term Trend Trades
Global Medium-Term Trend Trades
Global Long-Term Trend Trades.

The Global Micro-Trend Trades are executed by our Proprietary Global Algorithmic Trading Software (GATS) using Sub-Systems: GATS1, GATS5, GATS15, and GATS30.

The Global Short-Term Trend Trades are executed by our Proprietary Global Algorithmic Trading Software (GATS) using Sub-System: GATS60.

The Global Medium-Term Trend Trades are executed by our Proprietary Global Algorithmic Trading Software (GATS) using Sub-System: GATS240.

The Global Long-Term Trend Trades are executed by our Proprietary Global Algorithmic Trading Software(GATS) using Sub-Systems: GATS1440, GATS10080 and GATS43200.

Our Global Algorithmic Trading Software (GATS240) on January 21, 2023, indicates the following for Gold Futures

These are:

Gold Futures Long Term Trend (LTT): Bullish
Gold Futures Medium Term Trend (MTT): Bullish
Gold Futures Short Term Trend (STT): Bullish
Gold Futures Micro Trend (MT): Bullish

The bullish micro trend was able to able to found support at Global Support 25, Global Support 50 and Global Support 89 on GATS240. However, further analysis reveals a bullish market structure on GATS240. Our preference is to maintain a bullish bias on Gold Futures within the short term and execute a Bullish Short Term trades.

Potential Trade Entry:

Global Buy Entry Signal for Gold Futures: 1931.00
Global Trailing Stop Distance for Gold Futures: 1931.00 – (9 x 8.9536) =80.5824
Global Target Profit for Gold Futures: 1931.00 + (3 x 9 x 8.9536) = 2172.7472
Current Price for Gold Futures: 1926.63

It is important to monitor price action when price reaches $2000 and act upon any 58 Reversal Signals.

We are considering the high of $2075.21 on August 02, 2020, and $2070.40 on March 06,2022 to be a major resistance zone.

For many years traders and investors use gold as an inflation hedge. However the aggressive interest rate hikes by central bankers around the world is having a negative effect on gold price.

RISK WARNING!

There is a substantial risk of loss in futures and Forex trading. Online trading of stocks and options is extremely risky. Assume you will lose money. Don’t trade with money you cannot afford to lose.

The analysis in this material is provided for information only and is not and should not be construed as an offer to sell or the solicitation of an offer to buy any security. To the extent that this material discusses general market activity, industry or sector trends, or other broad-based economic or political conditions, it should not be construed as research or investment advice. To the extent that it includes references to specific securities, commodities, currencies, or other instruments, those references do not constitute a recommendation by Global Accountancy Institute, Inc. or Global Financial Engineering, Inc. to buy, sell or hold such investments. This material does not and is not intended to take into account the particular financial conditions, investment objectives, or requirements of individual customers. Before acting on this material, you should consider whether it is suitable for your particular circumstances

admin November 3, 2022 No Comments

Global Hybrid Forex Trading Strategy(GHFTS) executed on the Global Algorithmic Trading Software(GATS)-System#0-#8

The Global Hybrid Forex Trading Strategy(GHFTS) is a trend following strategy that was developed by Dr. Glen Brown. The strategy is executed on the Global Algorithmic Trading Software(GATS) using its nine(9) sub-systems from the Based system to system #8.

Global Hybrid Forex Trading Strategy trade in the direction of the Micro, Short, Medium, and Long Term trends using Global Algorithmic Trading Systems(GATS)#0, #1, #2, #3, #4, #5, 6, #7, and #8.
This account is for research purposes and hence should not be deemed as investment advice.

Global Algorithmic Trading is a method of executing orders using automated pre-programmed trading instructions accounting for variables such as time, price, and volume. This type of trading attempts to leverage the speed and computational resources of computers relative to human traders.

Global Algorithmic Trading Software(GATS)-System #0 to System #8 uses computer codes and chart analysis to enter and exit trades according to to set parameters such as price movements or volatility levels. Once the current market conditions match any predetermined criteria within the software, the trading algorithms will execute a buy or sell order on our behalf.

Global Algorithmic Trading Software(GATS)-System #0 to System #8 runs on MetaTrader 4, the most popular trading platform in the world. MetaTrader 4 is an advanced trading platform that gives you access to a range of tools and features to help you carry out analysis and customize your trading experience.

Main Features of the Global Algorithmic Trading Software(GATS)

**Global Algorithmic Trading Software(GATS)-System #0 to #8 is used to execute our trading decisions in over 60 countries worldwide
**Global Algorithmic Trading Software(GATS)-Systems #0 to #8 can be used for Equities, Futures, Commodities, Options, Bonds, Currencies, and mutual funds
**Volatility Based Risk Management System
**Volatility-Based Position Sizing Management System

In this research, we will combine all nine(9) subsystems and apply the strategy to 7 major forex currency pairs. Majors are generally the most popular type of currency pair to trade.

The most traded forex pairs at Global Financial Engineering and Global Accountancy Institute.

*EUR/USD (euro/US dollar)
*GBP/USD (British pound/US dollar)
*USD/JPY (US dollar/Japanese yen)
*USD/CHF (US dollar/Swiss franc)
*USD/CAD (US dollar/Canadian dollar)
*AUD/USD (Australian dollar/US dollar)
*NZD/USD (New Zealand Dollar/US dollar)

Let us track our trades for the Global Hybrid Forex Trading Strategy(GHFTS) and analyze them in order to create a successful transition and operational excellence using the above currency pairs.

As at December 21, 2022, We have decided to use a Hard Stop Loss and an initial trailing stop given by one to 8 times the Daily Average True range(DATR) with a risk of 0.1 % to 0.8% per trade. We will also activate a normal trailing stop given by 12.5% of the initial risk. Our profit target is three times the initial risk.

Open Trades

Trading Risk Disclaimer

Futures trading involves the potential for a substantial risk of loss as well as substantial gains and is not suitable for every investor. The highly leveraged nature of futures trading means that small market movements will have a great impact on your trading account and this can work against you, leading to large losses, or can work for you, leading to large gains. If the market moves against you, you may sustain a total loss greater than the amount you deposited into your account.

U.S. Government Required Disclaimer – Commodity Futures Trading Commission. Futures and options trading has large potential rewards, but also large potential risks. You must be aware of the risks and be willing to accept them in order to invest in the futures and options markets. Don’t trade with money you can’t afford to lose. This is neither a solicitation nor an offer to Buy/Sell futures. No representation is being made that any account will or is likely to achieve profits or losses similar to those discussed on this website. The past performance of any trading system or methodology is not necessarily indicative of future results.

admin October 9, 2022 No Comments

3M Co.( $MMM) falling from its glorious days!!!