Liquidity

Solving Liquidity Problems For Investors

Every investor has encountered a scenario where they transition from being an “active investor” to a “not active” due to a lack of access to their capital, leading to a liquidity challenge. MONS actively addresses this issue by offering multiple liquidity programs to investors, ensuring they can consistently remain actively engaged in their investments while having access to liquid capital on a regular basis. MONS provides 100% access to investor funds through various intervals, including every 48-72 hours, every 10-15 days, monthly, every 6 months, and annually. This approach empowers investors with the flexibility to manage their investments based on their individual preferences and needs.

Liquidity is a crucial aspect of investing as it enables investors to access the wealth they’ve built. If a substantial portion of your assets are tied up in long-term or highly illiquid investments, you might face challenges in obtaining cash when it’s needed. This lack of liquidity can significantly diminish your ability to seize investment opportunities that may arise. Therefore, a prudent investment strategy should incorporate the maintenance of a certain level of liquidity.

Balance Is Key

Balancing liquidity with long-term investments is a key consideration in developing an effective investment strategy. The specific level of liquidity needed varies based on individual financial goals, risk tolerance, and investment time horizon. Striking the right balance ensures that you are well-positioned to navigate various market conditions and capitalize on opportunities while maintaining financial stability.

Why Liquidity Is Important

Seizing Opportunities

Liquidity allows you to take advantage of attractive investment opportunities promptly. Whether it’s a sudden market dip, a promising business venture, or a strategic acquisition, having liquid assets enables you to act swiftly and capitalize on favorable conditions.

Managing Financial Needs

Unexpected financial needs or emergencies can arise, and having liquid assets ensures that you can meet these obligations without having to sell long-term investments at potentially unfavorable prices.

Diversification

Maintaining liquidity supports a diversified investment portfolio. It allows you to allocate funds to various asset classes, including those with different risk profiles and time horizons. Diversification can help manage risk and enhance overall portfolio resilience.

Market Volatility

In periods of market volatility, having liquid assets provides a cushion. You can use available funds to navigate turbulent market conditions, potentially taking advantage of buying opportunities or avoiding forced selling at unfavorable times.

Flexibility in Financial Planning

Liquidity enhances your ability to adapt to changes in your financial goals and life circumstances. Whether it’s buying a home, funding education, or planning for retirement, having liquid assets offers flexibility in aligning your investments with your evolving needs.

Reducing Forced Sales

Without adequate liquidity, investors may be forced to sell assets at inopportune times or accept lower prices to meet immediate cash needs. Maintaining liquidity helps mitigate the risk of forced sales.

Maximize Your Financial Potential! Prioritize Liquidity for Opportunity, Stability, and Flexibility.

Riverfront Limited

48hr-72hr Liquidity

Riverfront Limited – an Isle of Man (“IOM”) Software Company offering a proprietary FX algorithm developed and designed to spot trade three primary currencies. These currencies include the Euro, US Dollar and Japanese Yen, and the algorithm intends to realize a gain from the trading.

Self-Directed Manage Account.
Investors own brokerage account.
Investors grant authority for Riverfront to trade the cash that is in the brokerage account
No money enters or leaves the account
No lock up period
No Management Fee
High watermark
Performance fee only

TOG Capital Management, LLC, is Registered with the Commodity Futures Trading Commission (CFTC) as a Commodity Trading Advisor (“CTA”), NFA ID# 0545539.

Built on hundreds of millions of data points, patterns are identified, and forward patterns are predicted using machine learning.
Various cycles build on one another in multiples (Harmonic).
Multiple cycles often occur in a row (Summation).
Patterns across several time frames increase predictability.
Dynamic risk management enhances risk-adjusted returns.
The TOG Futures Fund employs its powerful predictive technology (FLOW) in tandem with proprietary money management tools to optimize returns

TOG Futures Fund

15-30 day Liquidity

TOG Capital Management

TOG is about seeking “alpha” in all market conditions, while maintaining tight risk control parameters. Our funds incorporate multiple markets, predictive technology, time series stacking, and dynamic money management components into powerful portfolio designs that look for optimal trades based on the predicted values of trends across multiple time frames with the dynamic adjustment of targets and stops based on real-time data.

Since 1996 TOG’s predictive formula has not changed, it’s dynamic FLOW design continues to be a predictive powerhouse. Over the next few months, we will be launching multiple funds, all with ZERO management fees and NO lock-up periods. At TOG, we believe in providing easy access to your money while achieving above-average returns, without the hassle of complicated withdrawal processes.

Time Series Stacking is an advanced forecasting technique that combines predictions from multiple models to improve accuracy and robustness. It involves training various base models on historical data, each capturing different patterns and relationships. These models' predictions are then used as inputs for a meta-model, which learns to optimally combine them for the final forecast. This approach leverages the strengths of different models, providing better performance than any single model alone, and is flexible enough to handle diverse types of time series data.

Time Series Stacking is an advanced forecasting technique that combines predictions from multiple models to improve accuracy and robustness. It involves training various base models on historical data, each capturing different patterns and relationships. These models’ predictions are then used as inputs for a meta-model, which learns to optimally combine them for the final forecast. This approach leverages the strengths of different models, providing better performance than any single model alone, and is flexible enough to handle diverse types of time series data.

Investment Approach

Our Methodology employs proprietary statistical techniques to obtain cyclical information from price data. Other proprietary frequency domain techniques are then employed to obtain the cycles embedded in the price data. It is our experience that these cycles, projected into the future, have great predictive value and can be used in a trading system. Furthermore we have automated the process using expert system technology that mimics the rules of logic used by a human trader. This approach is generalized and accessible and avoids “over fitting” the data like more obscure approaches such as neural networks.

Our Trade Automation implements a rule base that coordinates calculations for the entry and exit of portfolio positions filtered through real time price action and anticipated pattern changes across multiple time frames.

Our Mathematical Process goes through an initial de-trending filter that is determined by its specific time interval. The de-trending adds considerable computational stability to the analysis. The properties of the analysis are such that, in general, the time function being analyzed is converted into a discreet set of time dependent segments, which, by themselves, are adaptable to direct Fourier computations with variable evaluation lengths. Algorithms are applied which slide forward and back to test the validity of each transform length until minimal differences are established. Further, as these length searches are effected, another search is conducted which seeks a characteristic waveform applicable of the time segment under analysis. Once these parameters are gleaned, then the inverse of the filter is applied to the converted signal, and the lengths and waveforms obtained in the search stated. Using the inverse of the parameters in the original time domain a time variant nonlinear filter is employed on the initial function to, essentially, remove the waveforms and lengths found in the nonlinear domain.

Cask Strength Asset Management

6 -12+ month Liquidity

Cask Strength Asset Management LLC is a alternative investment opportunity where we are able to acquire appreciating assets, barrels of whiskey and tequila, at a discount and store them for various periods of time. We then sell them to produce substantial returns over a consistent time continuum.

Cask Strength has established relationships with two volume bourbon brokers capable of supplying 50k-60k barrels of ready-to-age bourbon in the first 12 months.
Cask Strength has pre-PO relationships with bourbon distilleries, capable of supplying similar amounts of bourbon over our subsequent years of operations.
Cask Strength has an exclusive partnership with a tequila producer capable of aging thousands of barrels of tequila at a time and selling them to other tequila producers and to individual tequila brands.