pandapy
Unverified ML strategy on Multi by firmai. BotFinder score 18 out of 100.
PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)
Source: github
BotFinder analysis pending.
pandapy
PandaPy "I came across PandaPy last week and have already used it in my current project. It is a fascinating Python library with a lot of potential to become mainstream." SSRN Report Snow, Derek (2020), PandaPy: A Wrapper Around Structured Arrays to Mimic ‘structs’ in the C Language, SSRN --------- Install Load Why PandaPy? 1. Maintains the full functionality and speed of structured NumPy datatype (eg., ) 1. If you have smaller pandas dataframes ( 0), value reads( ), singular value access ( ), atomic functions ( ), and np. calculations differences even out ( , etc). 2. Provides wrapper functions over NumPy to give you the usability of Pandas (eg., 3. If you need Pandas for speciality functions, you can easily and back 4. For simple calculations on a small dataset (i.e, plus, mult, log) PandaPy is 25x - 80x faster than Pandas. 5. For table functions (i.e., group, pivot, drop, concat, fillna) on a small data set PandaPy is 5x - 100x times faster than Pandas. 6. For most use cases with small data, PandaPy is faster than Dask, Modin Ray and Pandas. 7. The best competing python package fo
⚠ No verified equity curve — no track-record source connected.
Drawdown profile
Data unavailable — contact the owner.
Verification ledger
How the score has moved
Recalculated at each data collection. Transparency means showing the bad weeks too.
No score history is stored yet — only the current score is shown.
Reviews & comments
No reviews collected from the source yet.
⚠ No live verification account connected — ask for proof before buying.
Alerts on changes: coming soon
Prop-firm compatibility not provided.
Open-source maintainer on GitHub.
Data-completeness & trust index (not a profitability rating)