Skip to main content

Persnal project for stock market data analysis

Project description

Finmiti

This project is developed for my personal use. I am developing this to keep the documentation, architecture and pipeline consistent so that I can focus more on developing strategies instead of developing pipelines.

Visit Finmiti guide for further steps.

This project is solely developed for my personal use. I am publishing this only to keep myself updated and to remove the headache of setting up the framework again and again.


Finmiti is a research-first quantitative trading framework designed to keep strategy logic, execution logic, and accounting logic strictly separated.

It exists to eliminate repeated reinvention of trading pipelines, so you can focus on researching strategies, not rebuilding infrastructure.

What Finmiti Is (and Is Not)

Finmiti is:

  • a framework for systematic trading research
  • equally suited for backtesting and live trading
  • opinionated by design
  • built around explicit, auditable abstractions

Finmiti is not:

  • a strategy library
  • a signal generator
  • a black-box trading system

If you want flexibility at the cost of correctness, this framework will feel restrictive. That restriction is intentional.

The Core Trading Loop

Every strategy in finmiti follows the same explicit loop:

Market Data → Strategy → Orders → Portfolio → Execution → Accounting

Each stage is implemented as a separate module with strict responsibilities.

This guarantees that:

  • strategies remain stateless
  • execution assumptions are explicit
  • accounting is consistent
  • backtests can be trusted
  • live trading reuses the same abstractions

Major Modules

Finmiti is organized into the following conceptual modules:

Client Handling

Handles interaction with external systems such as broker APIs and live data feeds. Keeps the rest of the framework broker-agnostic.

Stocks

Manages symbols, historical data, and OHLCV storage. Acts as the foundation for all market data access.

Strategy

Consumes immutable market snapshots and emits order intent only. Strategies never manage cash, positions, or execution details.

Orders

Orders are the contract between strategy, portfolio, and execution. They represent intent, not outcome.

Executioners

Simulate (or connect to) market reality: slippage, brokerage, partial fills, or live execution.

Portfolio

The single source of truth for positions, cash, and PnL. All state mutation happens here.

Backtesting

Pure orchestration. Iterates over time and wires everything together without adding logic.

Final Note

I have built this for my personal use in mind.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

finmiti-0.0.1.tar.gz (16.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

finmiti-0.0.1-py3-none-any.whl (17.0 kB view details)

Uploaded Python 3

File details

Details for the file finmiti-0.0.1.tar.gz.

File metadata

  • Download URL: finmiti-0.0.1.tar.gz
  • Upload date:
  • Size: 16.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for finmiti-0.0.1.tar.gz
Algorithm Hash digest
SHA256 a387449396f01d45358b5e27ad60d1639dbd8f5a5d0e75cccc2cafaef58252cf
MD5 8a853b66e0b95e5307eb335821dda197
BLAKE2b-256 dba7e5931d6784ffa407c5c34d6ec013351992986ad1d001105fccf2daf6e341

See more details on using hashes here.

File details

Details for the file finmiti-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: finmiti-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 17.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for finmiti-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 03d7f11ce7f507802faa6e2a7eba2a3d1d8f6ced36bf27a703e4f00e53279390
MD5 6f68520083cb8bc49e0fd6a38ec142af
BLAKE2b-256 0ce56094f5fe852eacba02b841c50e759d975eacd2276cd89f803ace451ae633

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page