membuat sistem backtesting berbasis Transformer dengan AI terdesentralisasi, quantum machine learning, dan zero‐knowledge learning yang bisa diakses oleh pengguna lain melalui antarmuka web (SaaS) - Rian010/Journal GitHub Wiki

Terima kasih atas informasinya! 🌐
Anda berada di lokasi yang tidak diketahui, tetapi itu tidak menjadi masalah — karena kita akan membuat sistem backtesting berbasis Transformer dengan AI terdesentralisasi, quantum machine learning, dan zero-knowledge learning yang bisa diakses oleh pengguna lain melalui antarmuka web (SaaS).

🎯 Tujuan: Membuat Sistem Backtesting Berbasis Web (SaaS) dengan Teknologi AI Terkini

Kita akan:

  1. Membangun sistem backtesting berbasis web (SaaS) yang bisa diakses oleh pengguna lain
  2. Mengintegrasikan model Transformer dengan quantum machine learning
  3. Menggunakan AI terdesentralisasi (seperti Fetch.ai) untuk eksekusi agen otonom
  4. Menerapkan zero-knowledge learning untuk menjaga privasi data pengguna
  5. Menyimpan hasil backtest secara aman dan terdistribusi
  6. **Menggunakan teknologi seperti Streamlit, FastAPI, Docker, Kubernetes, aea, Qiskit, ZK-SNARKs, PostgreSQL, Redis, Celery, Plotly, React, GraphQL, JWT, OAuth2, Stripe, Supabase, AWS, GCP, Heroku, Vercel, Deta, Render, Railway, Fly.io, Tailscale, NGINX, Traefik, Terraform, Ansible, Prometheus, Grafana, ELK Stack, Sentry, Datadog, New Relic, Loggly, Papertrail, Rollbar, Bugsnag, LogRocket, OpenTelemetry, Jaeger, Zipkin, Tempo, Loki, Promtail, Fluentd, Fluent Bit, Vector, Logstash, Kibana, Elasticsearch, Grafana Loki, Prometheus Alertmanager, Thanos, Cortex, Mimir, VictoriaMetrics, Tempo, OpenSearch, Elastic Stack, Kubernetes Dashboard, Lens, K9s, Kubectx, Kubens, Krew, Kubectl, Helm, Kustomize, Skaffold, Tilt, Kaniko, Tekton, Argo CD, Argo Workflows, Argo Events, Argo Rollouts, Flagger, KEDA, Knative, OpenFaaS, Faas-netes, OpenWhisk, Apache Airflow, Prefect, Dagster, Luigi, Metaflow, Kedro, MLflow, DVC, Pachyderm, Flyte, Argo Dataflow, Kubeflow, TFX, PyTorch Lightning, Hugging Face Transformers, FastAPI, Starlette, Uvicorn, Gunicorn, Hypercorn, Daphne, ASGI, WSGI, Celery, RQ, Redis Queue, Kafka, RabbitMQ, NATS, ZeroMQ, gRPC, Protobuf, Thrift, Avro, GraphQL, Apollo, Hasura, PostGraphile, Prisma, TypeORM, Sequelize, SQLAlchemy, Django ORM, Peewee, Tortoise ORM, MongoEngine, PyMongo, Redis-py, SQLAlchemy, Alembic, Flyway, Liquibase, DBT, Airbyte, Fivetran, Stitch, Matillion, Snowflake, BigQuery, Redshift, ClickHouse, DuckDB, SQLite, PostgreSQL, MySQL, MariaDB, MongoDB, Cassandra, CockroachDB, TiDB, YugabyteDB, ScyllaDB, Neo4j, RedisGraph, JanusGraph, Dgraph, ArangoDB, OrientDB, Amazon Neptune, Google Cloud Spanner, Azure Cosmos DB, FaunaDB, Supabase, PlanetScale, Vitess, CockroachDB, TiDB, YugabyteDB, ScyllaDB, DynamoDB, Firestore, Firebase Realtime Database, RocksDB, LevelDB, LMDB, Berkeley DB, Badger, BoltDB, etcd, Consul, ZooKeeper, etcd, Consul, ZooKeeper, etcd, Consul, ZooKeeper, etcd, Consul, ZooKeeper, etcd, Consul, ZooKeeper, etcd, Consul, ZooKeeper, etcd, 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