Practice real quant interview questions from Jane Street, Citadel, and Two Sigma. Master C++ and Python coding, probability brainteasers, and trading MCQs with 3 career tracks.
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1 import numpy as np
2
3 def moving_average(prices, window=20):
4 # Calculate simple moving average
5 weights = np.ones(window) / window
6 return np.convolve(prices, weights, 'valid')Practice quantitative trading algorithms in our interactive code editor. Write C++ or Python, get instant feedback, and build the skills that matter.
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See how MyntBit compares to other prep platforms
| Feature | MyntBit | LeetCode | Green Book | Others |
|---|---|---|---|---|
| Quant-specific questions | Partial | |||
| Interactive C++ coding | ||||
| Career track specialization | ||||
| Trading competitions | ||||
| MCQ brainteasers | Partial | |||
| Fresh interview questions | Partial | |||
| Free tier available |
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Three specialized tracks for different quant finance roles