Purpose
The IM-AAM Free Recommendation Programme is designed to allow new users to experience the quality of our stock recommendation system before purchasing individual stock recommendations.
Unlike traditional investment platforms, IM-AAM does not require a monthly subscription. Instead, each stock recommendation can be purchased individually. The free programme is intended to demonstrate the quality of our research, trading methodology, and ranking system while allowing users to evaluate our service with real market opportunities.
Our goal is simple:
Earn your trust before asking for your first purchase.
User Journey
Every user progresses through three simple stages.
Stage 1 – New User (7-Day Free Trial)
Every newly registered account automatically receives a 7-day free trial.
During this period, users are introduced to all three trading strategies used by IM-AAM.
Trial Duration
7 calendar days
Free Recommendations Included
A total of 5 stock recommendations will be released during the trial.
| Trading Strategy | Quantity |
|---|---|
| Daily Trading | 2 |
| Swing Trading | 1 |
| Position Trading | 2 |
| Total | 5 |
Example Release Schedule
| Day | Recommendation |
|---|---|
| Day 1 | Position Trading |
| Day 2 | Daily Trading |
| Day 4 | Swing Trading |
| Day 6 | Daily Trading |
| Day 7 | Position Trading |
The exact release days may vary depending on market conditions and recommendation availability.
The objective of the trial is to allow users to experience every investment horizon offered by IM-AAM before making any purchasing decisions.
Stage 2 – Ongoing Free Access
After the 7-day trial has ended, users continue to receive a limited number of complimentary recommendations.
This ensures users remain engaged with the platform while preserving the value of our complete recommendation library.
Weekly Free Allocation
| Trading Strategy | Quantity |
|---|---|
| Daily Trading | 3 per week |
| Swing Trading | 1 per week |
| Position Trading | None |
| Total | 4 recommendations per week |
Daily Trading recommendations are provided more frequently because they have the shortest investment horizon and naturally refresh as market conditions change.
Swing Trading recommendations remain available on a limited basis to demonstrate medium-term opportunities.
Position Trading recommendations are reserved for new-user trials and individually purchased research due to their longer investment horizon and deeper research requirements.
Stage 3 – Purchasing Individual Recommendations
Users who wish to unlock complete information for any recommendation may purchase that stock individually.
Once purchased, the recommendation becomes permanently available within the user’s account and is automatically added to My Portfolio for ongoing tracking.
Each purchased recommendation includes:
- Company name
- Stock ticker
- Complete technical analysis
- Complete fundamental analysis
- DCF valuation
- Entry strategy
- Suggested target price
- Risk management guidance
- Portfolio integration
- Future updates relating to that recommendation
There is no monthly subscription required.
Users simply purchase the recommendations they are interested in.
Why the Trial Is Different
The 7-day trial is intentionally designed to deliver the highest-value introduction to IM-AAM.
During the trial, users experience all three trading strategies, including Position Trading, which represents our longest-term research methodology.
After the trial, free recommendations continue on a recurring basis but focus primarily on Daily Trading and occasional Swing Trading opportunities.
This allows users to continue experiencing the platform while encouraging them to purchase the recommendations that best match their investment goals.
Important Notes
- Free recommendations are intended to demonstrate the quality of the IM-AAM research process.
- Every recommendation reflects the best available opportunity identified by our proprietary scoring model at the time of publication.
- Rankings and recommendations may change as market conditions evolve.
- Stock investing involves risk. Past performance does not guarantee future returns.