Arcavio is a state-of-the-art quantitative trading platform leveraging Machine Learning and advanced algorithms to provide market insights and automated execution.

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Live published intelligence

Production-ready trading models, organized for fast evaluation.

Explore the active Arcavio model catalog across symbols, timeframes, and release versions. Each card surfaces the metrics, pipeline, and feature footprint needed for a quick first-pass review.

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Catalog snapshot

24

Active models

9

Symbols covered

13

Timeframes tracked

24/0

Classification / regression

Latest publish

Jun 26, 2026

Deployment view 24

Curated model cards with performance and feature context.

Market breadth 9 symbols

Coverage grouped by instrument first so scanning stays fast.

Release cadence 3 versions

Version buckets expose the latest model iteration for each slice.

Catalog browser

Symbol-led inventory

BANKBEES BTC-USD BTCUSDT ETHUSDT INDUSINDBK RELIANCE SBIN TCS TSLA

Symbol cluster

BANKBEES

1 timeframe group(s)

1 models

5

1 version bucket(s)

1 models

bankbees

Classification BANKBEES 5 v1

Accuracy 37.7 %

F1 35.3 %

Features 33

Symbol cluster

BTC-USD

1 timeframe group(s)

1 models

15

1 version bucket(s)

1 models

BTCUSD

Classification BTC-USD 15 v1

Accuracy 57.3 %

F1 52.8 %

Features 39

Symbol cluster

BTCUSDT

3 timeframe group(s)

7 models

1

1 version bucket(s)

3 models

Published ML model ready for deployment.

Classification BTCUSDT 1 v1

Accuracy 40.7 %

F1 36.4 %

Features 42

Published ML model ready for deployment.

Classification BTCUSDT 1 v1

Accuracy 45.9 %

F1 41.8 %

Features 36

Published ML model ready for deployment.

Classification BTCUSDT 1 v1

Accuracy 42.8 %

F1 38.3 %

Features 39

15

1 version bucket(s)

2 models

Published ML model ready for deployment.

Classification BTCUSDT 15 v1

Accuracy 42.9 %

F1 28.6 %

Features 21

Published ML model ready for deployment.

Classification BTCUSDT 15 v1

Accuracy 41.6 %

F1 38.6 %

Features 45

5

1 version bucket(s)

2 models

Published ML model ready for deployment.

Classification BTCUSDT 5 v1

Accuracy 40.9 %

F1 40.6 %

Features 22

Published ML model ready for deployment.

Classification BTCUSDT 5 v1

Accuracy 45.5 %

F1 43.7 %

Features 46

Symbol cluster

ETHUSDT

1 timeframe group(s)

2 models

15

2 version bucket(s)

2 models

Published ML model ready for deployment.

Classification ETHUSDT 15 v2

Accuracy 51.2 %

F1 50.7 %

Features 36

Published ML model ready for deployment.

Classification ETHUSDT 15 v1

Accuracy 37.7 %

F1 36.7 %

Features 48

Symbol cluster

INDUSINDBK

1 timeframe group(s)

1 models

5

1 version bucket(s)

1 models

Published ML model ready for deployment.

Classification INDUSINDBK 5 v1

Accuracy 33.3 %

F1 22.7 %

Features 36

Symbol cluster

RELIANCE

1 timeframe group(s)

2 models

5

1 version bucket(s)

2 models

Published ML model ready for deployment.

Classification RELIANCE 5 v1

Accuracy 32.3 %

F1 31.9 %

Features 31

Published ML model ready for deployment.

Classification RELIANCE 5 v1

Accuracy 33.2 %

F1 32.8 %

Features 36

Symbol cluster

SBIN

3 timeframe group(s)

7 models

1

1 version bucket(s)

2 models

Published ML model ready for deployment.

Classification SBIN 1 v1

Accuracy 35.0 %

F1 29.0 %

Features 45

Published ML model ready for deployment.

Classification SBIN 1 v1

Accuracy 37.0 %

F1 26.9 %

Features 39

15

1 version bucket(s)

1 models

alpa

Classification SBIN 15 v1

Accuracy 41.8 %

F1 40.6 %

Features 38

5

1 version bucket(s)

4 models

Published ML model ready for deployment.

Classification SBIN 5 v1

Accuracy 45.2 %

F1 40.0 %

Features 36

Published ML model ready for deployment.

Classification SBIN 5 v1

Accuracy 55.2 %

F1 51.9 %

Features 36

Published ML model ready for deployment.

Classification SBIN 5 v1

Accuracy 36.0 %

F1 31.3 %

Features 37

Published ML model ready for deployment.

Classification SBIN 5 v1

Accuracy 38.6 %

F1 37.6 %

Features 36

Symbol cluster

TCS

1 timeframe group(s)

2 models

15

2 version bucket(s)

2 models

Published ML model ready for deployment.

Classification TCS 15 v4

Accuracy 37.8 %

F1 35.0 %

Features 50

Published ML model ready for deployment.

Classification TCS 15 v1

Accuracy 33.3 %

F1 22.8 %

Features 32

Symbol cluster

TSLA

1 timeframe group(s)

1 models

5

1 version bucket(s)

1 models

Published ML model ready for deployment.

Classification TSLA 5 v1

Accuracy 35.1 %

F1 34.1 %

Features 21