top of page
Since inception (1).png

PROFIT MAXIMIZER

Introducing our Crude Oil Option Selling Algorithmic Strategy A dynamic and robust approach to capitalize on opportunities in the crude oil options market.

Strategy Construct

"Where Market Potential Meets Algorithmic Precision."

 Strategy Construct

Suitable For

Traders with experience in options selling and a moderate risk appetite. This strategy is ideal for investors looking to generate consistent income by leveraging the unique characteristics of the crude oil options market.

Investment Horizon

The Profit Maximizer Crude Oil Option Selling Algorithmic Strategy is designed for medium-term traders seeking to capitalize on opportunities in the crude oil options market. Positions are typically held for several weeks to a few months.

Market Conditions

The strategy thrives in stable to mildly volatile market conditions, where options contracts can be strategically sold to take advantage of time decay.

Minimum Investment

To fully benefit from the Profit Maximizer Strategy, we recommend a minimum investment of INR 5,00,000. This amount allows for adequate capital allocation and effective risk management.
Investment Philosophy

Investment Philosophy

Options Selling Advantage

By selling options contracts, the strategy aims to benefit from time decay and the natural erosion of option value over time.

In-Depth Market Analysis

The strategy incorporates thorough market analysis to identify favorable conditions for options selling on crude oil.

Dynamic Risk Management

Our algorithm carefully selects strike prices and expiration dates while actively managing risk to optimize trade entry and exit.

Systematic Approach

The Profit Maximizer Strategy follows a systematic and disciplined approach, utilizing advanced algorithms for efficient execution.
 
How It Works

How It Works

Market Analysis

Our advanced algorithms conduct in-depth market analysis to identify potential opportunities in the crude oil options market.

Risk Management

Position sizing and risk controls are dynamically adjusted to effectively manage risk exposure.

Option Selling Positions

Based on market analysis, the strategy sells options contracts on crude oil to capitalize on time decay.

Income Generation

By selling options, the strategy aims to generate consistent income for investors.
Performance

Performance

chart
Algower | Profit Maximizer

41.65%

NET ABSOLUTE RETURNS AS ON MAR 2024 

Investment in commodities are subject to market and other risks, and there is no assurance or guarantee that the objectives of any of the strategies of the strategy will be achieved. Please read T&C document carefully.

Yellow and White Geometric  Business Facebook Cover (1).png

Book Your Demo Now and Unlock 7 Days of Free Trial!"

Step into the Future of Trading!

Let our algorithm do the heavy lifting, while you focus on navigating
the exciting world of options trading.

Algo Strategies

Contact

70/401, 4th Floor, Brigade Opus,

Kodigehalli Main Road, Hebbal, Bangalore, KA 560092

401/1, 4th Floor, P V Arcade,

Between 6th & 7th Cross Sampige Rd, Malleshwaram, Bangalore, KA 560003

Quick Links

Customer Care:
support@algower.com

Sales:
info@algower.com

General Inquiries:
+91 94038 90909

Follow

  • Instagram
  • Facebook
  • Twitter
  • LinkedIn
  • YouTube
  • Pinterest

Disclaimer for Algower Technologies LLP

Please read the following carefully before using our services.

Risk Warning: Trading in products on margin carries a high level of risk, and you may incur losses exceeding your deposited funds. These products may not be suitable for all investors. It is imperative to fully comprehend the associated risks before engaging with our platform.

Informational Purpose: The content presented on our platform, including reports and presentations, is intended to provide essential information about our services. It is designed to assist investors in making informed decisions. This information should not be construed as an offer to sell or a solicitation of an offer to buy securities or other investments. We do not claim that any information, including third-party content, is accurate or complete, and investors should conduct thorough investigations.

Market Risks: Investments in securities and equity-related instruments are subject to market risks, which can be security-specific, market-specific, or influenced by various factors such as company performance, industry trends, political events, and economic conditions, both domestic and global.

Past Performance: Past performance of any advice, strategy, or model does not guarantee future performance. Actual returns may vary due to factors such as impact costs, expenses, timing of entry/exit, client mandates, and specific portfolio construction characteristics.

No Assurance or Guarantee: We do not assure or guarantee the achievement of objectives for any strategy, model, or advice provided by Algower Technologies LLP. The value of investments can fluctuate based on factors affecting securities markets, and there is no guarantee of returns.

Liability Disclaimer: Algower Technologies LLP, its partners, principal officers, and employees are not liable for any loss or shortfall arising from operations affected by market conditions. Securities investments involve market risks, and we make no representation, assurance, or guarantee regarding the future success of any models, strategies, or advice provided on our platform.

Advisory Agreement: All relevant information about investments is disclosed in the advisory agreement. Investors are advised to carefully read and understand all terms and conditions before subscribing to our services. Algower Technologies LLP and its associates/employees are not liable for any risks or losses associated with the strategies, models, or advice provided.

By using our platform, you acknowledge that you have read, understood, and agreed to the terms of this disclaimer.

Algower Technologies LLP reserves the right to update or modify this disclaimer without prior notice.

 

© 2021 by Algower. Powered and secured by Algower Technologies LLP

bottom of page