# iterativv/NostalgiaForInfinity

Trading strategy for the Freqtrade crypto bot

Repository: https://github.com/iterativv/NostalgiaForInfinity
Canonical: https://ross.abutalabs.com/products/nostalgiaforinfinity
Language: Python
License: GPL-3.0
License Family: copyleft
Last push: 2026-08-26T15:36:06+00:00

## Health v2 (maintenance only)
Score: 95/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 86, longevity 100
- inputs: {"age_days": 1876, "days_push": 7, "days_rel": 12, "gap_med": 5.0, "n_releases_24m": 97}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3372, forks 750 (observed 2026-08-28T04:07:58.417220+00:00)

## What it is
NostalgiaForInfinity is a popular open-source trading strategy for the Freqtrade cryptocurrency bot, written in Python. It provides an actively maintained strategy configuration with automatic update tooling for Docker users.

## Use cases
- automate crypto trading with freqtrade
- find a proven freqtrade strategy
- backtest a crypto trading strategy
- run a crypto bot on USDT pairs
- keep a trading strategy automatically updated
- trade altcoins with a community strategy

## When to choose
- you already use Freqtrade and want a mature, community-tested strategy
- you trade stablecoin (USDT/USDC) pairs on spot exchanges
- you want automatic strategy updates via Docker

## When to avoid
- you don't use Freqtrade or another compatible bot framework
- you want a strategy for BTC/ETH-quoted pairs or leveraged tokens
- you need a guaranteed-profitable strategy - none exists

## Facets
- artifact type: plugin
- maturity: active
- function: trading
- domain: fintech
- platform: python
- tags: freqtrade, crypto-trading, trading-strategy, algorithmic-trading, backtesting, cryptocurrency, docker, linux

## Member repositories
- iterativv/NostalgiaForInfinity (main) score 95

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:58.417220+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:39:56.741385+00:00, confidence not recorded.
  - readme: https://github.com/iterativv/NostalgiaForInfinity (fetched 2026-08-28T04:07:58.417220+00:00, sha 95203d1fc397)
- Data as of 2026-08-30T08:39:29.467469+00:00.