This initial strategy was developed specifically for larger pools and is based on taking a moving average and deriving Bollinger Bands to create a projected active liquidity range.

Last update: Dec 02, 2022

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Overview

Gamma's Strategy One

This initial strategy was developed specifically for larger pools and is based on taking a moving average and deriving Bollinger Bands to create a projected active liquidity range.

View the simulation folder to view the historic behavior of high fee pools on Uniswap.

View the API-endpoint folder to see how we are collecting and deriving Bollinger Bands for the first strategy. This endpoint uses Uniswap v3 subgraph to analize current and historic pricing at a set interval. With the endpoint, the query returns all pools for a given asset and then pricing data with Bollinger Bands for any pair.

Here is a rendering of the Bollinger Bands for the USDT-ETH pair:

Owner

Gamma Strategies

An organization dedicated to funding ‘Active LP’ strategies and research. Applications now accepted.

GitHub Repository

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This initial strategy was developed specifically for larger pools and is based on taking a moving average and deriving Bollinger Bands to create a projected active liquidity range.

Related tags

Overview

Gamma's Strategy One

Here is a rendering of the Bollinger Bands for the USDT-ETH pair:

Owner

Gamma Strategies

Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation

TinyML Cookbook, published by Packt

Like a cowsay but without cows!

Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network

A simple implementation of Kalman filter in Multi Object Tracking

Source code and data from the RecSys 2020 article "Carousel Personalization in Music Streaming Apps with Contextual Bandits" by W. Bendada, G. Salha and T. Bontempelli

STARCH compuets regional extreme storm physical characteristics and moisture balance based on spatiotemporal precipitation data from reanalysis or climate model data.

StarGAN2 for practice

HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation Official PyTorch Implementation

Hl classification bc - A Network-Based High-Level Data Classification Algorithm Using Betweenness Centrality

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This is the official implementation of the paper "Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation".

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This is the offical website for paper ''Category-consistent deep network learning for accurate vehicle logo recognition''

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