AEVORA QUANT · EVOLUTIONARY RESEARCH INFRASTRUCTURE

From thousands of strategy genomes to fewer, stronger systems.

Aevora Quant is my end-to-end quantitative research platform: deterministic genome search, validation and robustness gates, sealed TEST authority, an immutable strategy vault, portfolio research and an MT5 execution layer.

See the real agents View sealed TEST results

AEVORA PLATFORMResearch → ExecutionOne evidence-linked workflow

RESEARCH AUTHORITY22 experiments11 markets × 15m / 4h

FORWARD TESTCollecting future dataNot mature until 2 Apr 2027

ACTUAL AGENT OPERATIONS

Aevora Quant Agent Operations research workflow, captured from the original development build

12 visible agentsResearch → TEST → VaultMT5 execution layer

AEVORA RESEARCH ENGINE ◆ AEVORA VAULT ◆ AEVORA TERMINAL ◆ AGENT OPERATIONS ◆ SEALED TEST EVIDENCE ◆ FORWARD RESEARCH ◆ AEVORA RESEARCH ENGINE ◆ AEVORA VAULT ◆ AEVORA TERMINAL ◆

ACTUAL SYSTEM SCREENSHOTS

Inside the Aevora Quant research workflow.

These are real screenshots from the project itself, not recreated website mockups. The screenshots were captured before the public Aevora Quant rebrand, so the original internal codename “EvoQuant” is still visible inside the interface.

PUBLIC BRAND: AEVORA QUANT · ORIGINAL DEVELOPMENT CODENAME VISIBLE IN SCREENSHOTS: EVOQUANT

Actual project screenshot showing Overseer, Market Scout, Data Engineer, Genome Architect, Evolution Engine, Test Gatekeeper, Vault Curator and Execution Guardian — **Real project screenshot.** Agent Operations visualises the research hierarchy around the strategy lifecycle: market discovery, data, genomes, evolution, robustness, TEST, Vault and execution.

Actual project screenshot showing the Robustness Agent reporting one PRE_TEST candidate eligible — **Real project screenshot.** This frame shows the Robustness Agent reporting **1 PRE_TEST candidate eligible** before the single-use TEST gate. The visualisation itself is simulated, while the underlying research funnel and TEST metrics shown elsewhere on this site come from committed research artifacts.

12 VISIBLE WORKERSOverseer → Scout → Data → Genome → Evolution → Backtest → Validation → Robustness → TEST → Vault → Portfolio → Execution Guard

SAFETY STATEBroker write authority locked · real broker orders: 0

ROLE OF THE VISUALShows the architecture and workflow; it does not invent live trading results.

EVOLUTION FUNNEL · COMMITTED RESEARCH COUNTS

104,296 proposed candidates. Three Aevora Vault survivors. One portfolio.

Aggregated across the three market experiments that ultimately supplied the legacy NASDAQ100, FTSE100 and NIKKEI225 portfolio. No per-generation numbers are invented: the animation uses the stage counts committed in the research summaries.

PHASE 8.2 EVOLUTION60 deterministic generations per marketEach marker is a real generation index from the frozen Phase 8.2 protocol. The motion shows progression only; it does not invent per-generation performance.

104,296Proposed candidates

79,707Unique TRAIN evaluations

1,280TRAIN finalists

15VALIDATION candidates

15Robustness candidates

3PRE_TEST_PASS

3Sealed TESTs

3FINAL_RESEARCH_PASS / Vault

1Three-strategy portfolio

NASDAQ100 · REAL_RESEARCH_00114,208 → 9,616 → 256 → 5 → 5 → 1 → 1Proposed → unique TRAIN → finalists → validation → robustness → sealed TEST → Vault

FTSE100 · PHASE 8.242,734 → 33,000 → 512 → 5 → 5 → 1 → 160-generation Phase 8.2 experiment → one genuine Aevora Vault survivor

NIKKEI225 · PHASE 8.247,354 → 37,091 → 512 → 5 → 5 → 1 → 160-generation Phase 8.2 experiment → one genuine Aevora Vault survivor

SEALED TEST EVIDENCE

NASDAQ100 survivor: the real numbers from TEST.

This is the committed FINAL_RESEARCH_PASS artifact for the 1H long/short NASDAQ100 genome. It is historical research evidence from a sealed TEST partition, not a guaranteed future-performance claim.

NASDAQ100 · 1H · LONG_SHORT

Aevora Vault survivor 725529de…

FINAL_RESEARCH_PASS

TEST total return0%

Sharpe0

Profit factor0

Max drawdown11.73%

TEST trades0

Win rate59.60%

Genome2b1675ffa3aad8…Final TEST result767538fde91c64…

FTSE100 · SEALED TEST · Phase 8.2

+14.81% TEST return

0.91 Sharpe1.19 profit factor9.03% max DD355 trades53.80% win rate

FINAL_RESEARCH_PASS under its frozen Phase 8.2 protocol. Vault entry 0fc3f18f….

NIKKEI225 · SEALED TEST · Phase 8.2

+13.18% TEST return

0.46 Sharpe1.09 profit factor15.63% max DD180 trades45.00% win rate

FINAL_RESEARCH_PASS under its frozen Phase 8.2 protocol. Vault entry 79a8bee0….

PORTFOLIO LINEAGE

NASDAQ100 + FTSE100 + NIKKEI225

The three genuine Aevora Vault survivors are carried into the Phase 9 operational layer as one three-strategy portfolio, linking research evidence to the execution infrastructure.

ACTIVE RESEARCH STATUS

Still collecting data. Still forward testing.

Aevora Quant is an active research platform, not a finished performance product. Research authority is frozen in advance and the system waits for genuinely unseen future data instead of repeatedly reopening a test until something passes.

FORWARD DATA COLLECTION ACTIVE

START02 OCT 2026 · 12:00 UTC

MATURITY02 APR 2027 · 12:00 UTC

Collecting genuinely unseen future observations…

Phase 8.4 status: FORWARD_TEST_NOT_MATURE. The future window is accumulating data, while TEST evaluation remains sealed: Future TEST accessed: NO. Automatic retry: FORBIDDEN.

Aevora multi-timeframe research authority

22 independent experiments = 11 canonical markets × native 15m and 4h bars. Dataset sufficiency passed across the frozen authority. At this checkpoint, genetic search, final TEST access and Vault admission had not started.

CURRENT RESEARCH UNIVERSE

11 markets. Two native timeframes. 22 independent research experiments.

Aevora Quant's current multi-timeframe research authority spans major equity indices, FX, metals and energy. Every market is researched independently on native 15-minute and 4-hour data so evidence is not blended across instruments or timeframes.

MARKETS11Across four asset classes

TIMEFRAMES15m + 4hNative market data

EXPERIMENTS22Independent research authorities

PROCESSResearch → VaultOnly proven strategies progress

AEVORA MARKET SCANNERResearch universe

MULTI-ASSET RESEARCH ACTIVE

Equity Indices5 markets · 10 experiments

NASDAQ100USTEC15m · 4h

S&P 500US50015m · 4h

DAX40DE4015m · 4h

FTSE100UK10015m · 4h

NIKKEI225JP22515m · 4h

Foreign Exchange3 markets · 6 experiments

EUR / USDEURUSD15m · 4h

GBP / USDGBPUSD15m · 4h

USD / JPYUSDJPY15m · 4h

Metals2 markets · 4 experiments

GOLDXAUUSD15m · 4h

SILVERXAGUSD15m · 4h

Energy1 market · 2 experiments

WTI CRUDEXTIUSD15m · 4h

HOW EACH MARKET IS TREATED Independent evidence. Same research discipline.

Each market-timeframe pair has its own frozen dataset identity, split, seed and research authority. A strategy found on one market does not automatically inherit credibility on another.

DATA→TRAIN→VALIDATION→ROBUSTNESS→TEST→VAULT

Research-universe membership does not mean every market currently has a strategy in the Vault or portfolio. Each experiment must earn progression independently through Aevora's research gates.

SELF-IMPROVING PORTFOLIO ENGINE

Built to keep learning, keep storing edges, and keep upgrading the portfolio.

Aevora Quant is designed as a living research system. Over time, the vault is expected to hold multiple proven strategies across markets, timeframes and styles. The portfolio is then monitored for edge decay, reviewed against the vault, and upgraded when a better candidate improves the overall mix.

01 · CONTINUOUS RESEARCH

Always searching for new edges

New candidate genomes continue flowing through research, validation, robustness checks and sealed TEST procedures, creating a deeper bench of genuine strategies instead of relying on a single winner forever.

02 · AEVORA VAULT

Multiple proven strategies in reserve

The vault is intended to accumulate a portfolio bench: multiple strategies that have earned their place through research. That means the system can rotate capital between validated strategies instead of starting from zero every time conditions change.

03 · PORTFOLIO ADAPTATION

Swap out decayed edges for stronger ones

If a live or forward-tracked strategy shows meaningful edge decay, Aevora can review the vault, pick a stronger replacement, and refresh the portfolio so the overall strategy mix stays more efficient, diversified and current.

Research Generate and test new strategy genomes

→

Vault Store multiple proven strategies

→

Monitor Track decay, correlation and relevance

→

Upgrade Swap in a better vault strategy

EASY TO UNDERSTAND PORTFOLIO ROTATION

How Aevora Quant can replace a decaying strategy

Monitoring the active portfolio

Live Portfolio

Strategy A Trend / Stable Healthy edge

Strategy B Mean Reversion Under watch

Strategy C Carry / Stable Healthy edge

Decision Logic

1.Monitor live and forward performance

2.Detect edge decay in Strategy B

3.Select a stronger vault candidate

4.Replace the weak strategy in the portfolio

Aevora continuously monitors performance, robustness and fit within the portfolio.

Aevora Vault

Vault S1 Equity Index Trend Proven

                Vault S2
                Macro Breakout
                Best replacement candidate
              

Vault S3 FX Carry Proven

Vault S4 Volatility Overlay Proven

ADVANCED 3-STAGE PORTFOLIO INTELLIGENCE

Performance, correlation and decay signals update in real time

Stage 1 · Performance Review

Portfolio Health Monitor Stage 1 · Checking standalone performance

Strategy A +1.14 Strong performance

Strategy B +0.28 Needs review

Strategy C +0.93 Healthy

Performance score

74 / 100

Correlation efficiency

66 / 100

Edge durability

61 / 100

STAGE 1

Performance

First, Aevora reviews each strategy on its own. If a strategy underperforms versus expectation, it is flagged for deeper review rather than blindly left in the book.

STAGE 2

Correlation

Next, Aevora checks how efficiently each strategy fits with the rest of the portfolio. A weak diversifier can reduce the quality of the whole portfolio even if it still trades.

STAGE 3

Edge Decay

Finally, the system checks whether the original edge appears to be fading. If the edge has decayed, Aevora can replace it with a stronger vault strategy.

Live strategy review

A · Stable

B · Watching

C · Stable

Stage 1 starts with pure performance review. Strategy B is weaker than expected, so Aevora begins a deeper check.

Replacement logic

1Check recent performance

2Check correlation contribution

3Confirm edge decay

4Promote best vault replacement

Swap candidate →

When no decay is detected, the active portfolio stays unchanged.

FOUNDER / ABOUT BENJAMIN

Built by Benjamin Makofu.

I built Aevora Quant as a serious personal quant research platform to turn market ideas into tested, evidence-driven systems. The goal is not to chase one lucky strategy. The goal is to build a repeatable process for discovering, validating, storing and upgrading systematic edges over time.

Founder & Developer

Benjamin Makofu

Finance & investment background with a strong focus on systematic trading, research engineering and portfolio process design.

benjamin.makofu@gmail.com

Aevora Quant brings together the themes I care most about: quantitative research, strategy discovery, disciplined testing, portfolio construction and execution infrastructure. Instead of presenting a black-box “bot”, I wanted to build a platform where the research process itself is visible and credible.

The platform is designed around deterministic research, sealed testing, a strategy vault, and a portfolio that can improve over time as new strategies prove themselves and older edges weaken.

WHAT I’M BUILDING

A research-first systematic trading platform

Evolutionary strategy discovery
Validation and robustness controls
A vault of proven strategies
Portfolio selection and replacement logic
Execution infrastructure linked to research evidence

WHY IT MATTERS

Turning research into a better process

My aim is to build an adaptive quant platform that can keep learning, keep collecting evidence and keep improving the portfolio over time. Aevora Quant is the foundation for that long-term vision.

Quant Research Systematic Trading Portfolio Engineering Execution Infrastructure

WHY AEVORA QUANT

Built around evidence, not backtest theatre.

Aevora Quant is designed around research discipline: deterministic discovery, controlled evidence roles, anti-overfitting gates and immutable lineage from strategy genome to portfolio and execution.

Genetic discovery

Seeded populations, mutation, crossover, genome-hash dedupe and TRAIN-only fitness produce reproducible strategy search.

Validation before proof

TRAIN, VALIDATION, robustness and sealed TEST are different authorities. A failed gate cannot silently skip ahead.

Aevora Vault

Survivors preserve exact genome identity, evidence IDs, software versions, dataset hashes and frozen research status.

Portfolio without TEST leakage

Correlation, selection and allocation consume approved VALIDATION-only evidence. TEST remains admission evidence, not optimiser input.

Forward-only governance

Future windows are frozen in advance and cannot be moved, extended or automatically retried after seeing results.

Execution infrastructure

Phase 9B adds MT5 execution infrastructure with account checks, reconciliation, sizing, risk validation and idempotent order handling.

BENJAMIN MAKOFU · FOUNDER & DEVELOPER

Aevora Quant is built to make weak strategies fail early.

Aevora Quant is an ongoing quantitative research and engineering project built by Benjamin Makofu. Research results above are historical backtest and sealed TEST evidence from committed artifacts. They are not investment advice or guaranteed future performance.