Buy The Bottom Effortlessly

We want to showcase the Intelligence Algorithm to its full extent, hence the multi-cycle time horizon. The Intelligence Algorithm is able to adapt across dynamic market environments and find signal among the noise.

The algorithm is able to succinctly find bottoms across Bitcoin’s enormous growth stages, from fringe technology experiment to emerging institutional adoption.

With only $100,000 in initial capital, the algorithm has produced a +1,182% or $1,182,082 profit, completely autonomous. This far outpaces any passive investment approach.

Most investors regret not buying the cycle bottoms, which are only obvious in hindsight.

Similar to the Bitcoin case, the Intelligence Algorithm performed well, avoiding buy orders in the extremely volatile, range-bound period which has characterized Ethereum since 2024.

It’s important to note that sustained cycle-low buying is extremely difficult for most people to execute. In a downward-trending market, most investors believe the market will continue to drop and plan to buy lower. When price doesn’t reach their target and begins to reverse trend, they hesitate to execute and end up missing the entry completely.

In the altcoin market, the Intelligence Algorithm adapts to condensed ranges bookended by extreme volatility.

Applied to XRP, the Intelligence Algorithm accumulated heavily around the $0.4 mark before prices lifted, hitting $3 and above. After the initial spike and retrace to ~$2, the algorithm continued to buy before the rise to $3.4.

The returns generated in this case were created with a single instance of the Arbitrage Algorithm without any changes to the initial settings. It is a true set-and-forget algorithm.

For this set of case studies, we set “Repeat Purchase Method” to Weekly. Repeat Purchase Method determines the cadence of buy orders.

In this case, when the algorithm has detected a buy opportunity, the algorithm will only execute a buy order once per week until the buy detection algorithm ceases to produce a signal.

Clients are able to increase or decrease buy order executions from daily to monthly depending on preference.

You might like to spread buy orders out by using a daily repeat purchase method. Remember to reduce your order size proportionally in this case.

The Intelligence Factor is the core component of the Intelligence Algorithm. Simply put, it is a proprietary factor that increases or decreases the sensitivity of buy orders. Increasing the Intelligence Factor will signal more buy orders, and vice versa.

We have selected an Intelligence Factor of 0.5 throughout this case study as it produces excellent entry points across multiple cycles.

Lower Intelligence Factors require an increase in order size as it will reduce the number of buy orders.

Determining the proper order size requires a bit of art and science as the number of buy orders detected by the algorithm during a cycle low can vary and are determined in real time.

For this case study, we divided our initial capital by the number of orders generated, which can be found in TradingView’s Strategy Tester.

Keep in mind, this approach does not include any additional capital. In reality, over a multi-year span, there is a high chance that clients will be adding fresh capital at a regular cadence due to sources of income.

Therefore, the Intelligence Algorithm’s order size should be updated when significant changes to your cash balance occur.

Although the Intelligence Algorithm is oriented for accumulation, it can be used to capture anomalous volatility across altcoin assets that you may not want to hold long term.

As an example, the algorithm was able to accumulate a significant position in DOGE before the spike in price in the beginning of 2025.

A savvy trader could have sold the accumulated position around the $0.4 mark, netting almost a 10x return.

Ultimately, the Intelligence Algorithm is a tool to accumulate assets at optimal prices.