One group. Four forms of intelligence.

Knowledge
for human
progress.

Connecting data, finance, development and research to build a future that serves people.

Discover our ecosystem
Harambe Group’s gorilla protects a human figure
01Data 02Finance 03Development 04R&D

Different strengths.
One shared purpose.

Scroll to explore

Intelligence in the service of people.

Four houses.
One shared ambition.

Different ways of thinking, brought together. Explore the intelligence each house contributes to the group.

The orangutanObservation · Patience · Understanding

Harambe Data

Understand
before you act.

We turn observations into a clearer understanding of how systems work.

Data science, artificial intelligence, geospatial analysis and visualisation make complex evidence usable — including for humanitarian decisions.

  • Data & information systems
  • AI & geospatial analysis
  • Visualisation & decision support

Data Lake preserves observations and their sources. Analytics checks quality, calculates indicators and evaluates signals.

One family. A shared visual language.The original brand architecture
A river connects woodland and cultivated land, seen from above

Our reason for being

Progress is a
shared horizon.

Finance enables the mission.
Human progress gives it direction.

People, institutions and the environment are part of the same picture. Harambe exists to connect the knowledge that helps them move forward together.

A shared landscape · visual illustration

Clarity is a process.
Keep it moving.

Good decisions are made through a clear chain of reasoning. Every step should be understandable, open to challenge and able to improve.

  1. 01

    Observe.

    Start with evidence.
    Preserve its source, context and date.

  2. 02

    Understand.

    Find the relationships.
    Check quality and make uncertainty visible.

  3. 03

    Decide.

    Make the implication clear.
    Connect choices, resources and consequences.

  4. 04

    Learn.

    Return to the question.
    Compare expectations with outcomes.

An observation becomes useful when it leads to a better decision.

Useful knowledge.
Lasting decisions.

We are building a shared practice across four disciplines: understanding evidence, allocating resources, designing development solutions and testing new ideas.

  1. 01

    Make complexity legible.

    Connect observations to their source, explain the relationships and show what is still unknown.

  2. 02

    Put resources behind purpose.

    Compare choices through their costs, risks and consequences for people and systems.

  3. 03

    Build knowledge that lasts.

    Keep the reasoning, test expectations against outcomes and carry the lessons into the next decision.

Evidence you can explore.
Questions worth asking.

Follow the market, examine the cost of a hypothesis and see how current the evidence really is. Three different lenses on the work behind Harambe Crypto.

01 / Market context

Is the move
shared or isolated?

Compare the same window across five assets followed by Harambe. Separate broad participation within this small group from a move led by one asset.

Loading public market data…

Five-asset comparison

Five-asset comparison
AssetWindow changeMax drawdown

Scope: BTC, ETH, SOL, LINK and SUI. Participation describes these five assets only. Drawdown is the largest fall from an earlier peak within the chosen window.

Kraken public Spot OHLC · completed hourly candles · refreshes every 5 minutes while this page is open. If unavailable, the dated Harambe snapshot is shown explicitly. Source and methodology ↗

02 / Research evidence

What survives
the cost of a trade?

A favourable price move and a positive result after costs are different questions. Explore the measured outcomes of Harambe’s systematic long benchmark.

BTC 50% / ETH 30% / SOL 20% · a normalized long benchmark, not selected trades or portfolio returns.

GrossAfter costs
What survives the cost of a trade?

0.40 percentage points is the archived paper cost model. Change it to explore sensitivity; this does not rewrite the recorded experiment.

Research extract: 28 September–13 October 2026. 46 observations with a complete documented timing chain; 10 timing-incomplete benchmark observations excluded. Windows overlap and are not independent trials.

This is descriptive research. It does not establish predictive skill, a win rate or an executable strategy. Materiality and selective strategy rules remained undefined in these records.

03 / Evidence freshness

More data is useful.
Knowing its age is essential.

The source records do not all move at the same pace. These are the most recent dates in the specific tables reviewed for this publication, not a claim about all available market data.

Source review · 5 November 2026

How this analysis was built

Public price observations are aligned on common timestamps. Changes are measured from the first point in the selected window. Relative-to-Bitcoin compares price ratios. Research observations are deduplicated by decision and horizon, restricted to the systematic long benchmark and retained only when the record states PASS_FULL_CHAIN. Costs are subtracted once. Private account values and personal positions are not published.

Explore the research notebook

A human perspective.
A shared ambition.

Meet the founder bringing Harambe’s four houses together.

Camilo Avendano, founder of Harambe Group
Harambe GroupFounder

Founder · Harambe Group

Camilo
Avendano

Connecting economic insight
with human progress.

An economist by training, Camilo connects financial analysis, data and international development. His experience spans the appraisal of infrastructure, essential services and climate resilience programmes.

His work brings together economic modelling, cost-benefit analysis and practical tools that help institutions compare choices and allocate resources.

At Harambe, he is building a shared home for these disciplines, connecting research with decisions that serve people.

  • Economic & financial analysis
  • Data & decision tools
  • International development