Bianace Prediction Pytorch Model

Related tags

Deep Learningbinance_prediction_pytorch
Overview

Bianace Prediction Pytorch Model

Main Results

ETHUSDT from 2021-01-01 00:00:00 to 2021-12-01 00:00:00

Time interval ROI
1d (Human) 2.74%
1d (Model) 125.05%
4h (Human) 36.86%
4h (Model) 300.37%
1h (Human) 37.55%
1h (Model) 393.66%

BTCUSDT from 2021-01-01 00:00:00 to 2021-12-01 00:00:00

Time interval ROI
1d (Human) 3.11%
1d (Model) 30.08%
4h (Human) 18.30%
4h (Model) 30.67%
1h (Human) 19.79%
1h (Model) 32.07%

Getting started

Environment

  • Test OS: Ubuntu 16.04 LTS
  • Python version: 3.8

Preparation

  • Create folders.
mkdir images
mkdir checkpoints
  • Please run pip install –r requirements.txt to install the needed libraries.

Dataset

Binance Public Data

  • Clone the repo.
  • Follow the instruction to download required data.
# ETHUSDT
python download-kline.py -s ETHUSDT -startDate 2017-08-01 -endDate 2021-12-01

# BTCUSDT
python download-kline.py -s BTCUSDT -startDate 2017-08-01 -endDate 2021-12-01
  • It will download the required data as below. Unzip the zip files under the 1h, 4h and 1d directories.
binance_prediction_pytorch
    `-- binance-public-data
        `-- data
            `-- data
                `-- spot
                    |-- daily
                    `-- monthly
                        `-- klines
                            |-- ETHUSDT
                            `-- BTCUSDT
  • Then soft link the data directory to the repo root as below.
binance_prediction_pytorch
    |-- binance-public-data
    `-- data
        `-- spot
            |-- daily
            `-- monthly
                `-- klines
                    |-- ETHUSDT
                    `-- BTCUSDT

Experiments

Training

  • Run training and evaluation on ETHUSDT. It will store the checkpoints under checkpoints with ticker name and time interval if don't specify the checkpoint path with --ckpt.
# 1d
./run.sh ETHUSDT 1d

# 4h
./run.sh ETHUSDT 4h --sell_rate 0.03

# 1h
./run.sh ETHUSDT 1h --sell_rate 0.03
  • Run training and evaluation on BTCUSDT
# 1d
./run.sh BTCUSDT 1d

# 4h
./run.sh BTCUSDT 4h --sell_rate 0.03

# 1h
./run.sh BTCUSDT 1h --sell_rate 0.03

Inference

  • Specify the checkpoint path with eval mode to only do the inference.
./run.sh ETHUSDT 1h --sell_rate 0.03 --ckpt ${YOUR_CHECKPOINT_PATH} --eval
Owner
RoyYang
M.S. student @ VSLab
RoyYang
GitHub Repository
Automatic meme generation model using Tensorflow Keras.

Memefly You can find the project at MemeflyAI. Contributors Nick Buukhalter Harsh Desai Han Lee Project Overview Trello Board Product Canvas Automatic

BloomTech Labs 2 Jan 13, 2022
Meaningful titles for tabs and PDF downloads! Also supports tab search.

arxiv-utils If you are a researcher that reads a lot on ArXiv, you'll benefit a lot from this web extension. Renames the title of PDF page to the pape

Johnson 174 Dec 20, 2022
This is a Keras implementation of a CNN for estimating age, gender and mask from a camera.

face-detector-age-gender This is a Keras implementation of a CNN for estimating age, gender and mask from a camera. Before run face detector app, expr

Devdreamsolution 2 Dec 04, 2021
[CVPR'22] Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast

wseg Overview The Pytorch implementation of Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast. [arXiv] Though image-level weakly

Ye Du 96 Dec 30, 2022
SCAAML is a deep learning framwork dedicated to side-channel attacks run on top of TensorFlow 2.x.

SCAAML (Side Channel Attacks Assisted with Machine Learning) is a deep learning framwork dedicated to side-channel attacks. It is written in python and run on top of TensorFlow 2.x.

Google 69 Dec 21, 2022
Very Deep Convolutional Networks for Large-Scale Image Recognition

pytorch-vgg Some scripts to convert the VGG-16 and VGG-19 models [1] from Caffe to PyTorch. The converted models can be used with the PyTorch model zo

Justin Johnson 217 Dec 05, 2022
Kroomsa: A search engine for the curious

Kroomsa A search engine for the curious. It is a search algorithm designed to en

Wingify 7 Jun 20, 2022
NCVX (NonConVeX): A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning.

The source code is temporariy removed, as we are solving potential copyright and license issues with GRANSO (http://www.timmitchell.com/software/GRANS

SUN Group @ UMN 28 Aug 03, 2022
Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation

deeptime Releases: Installation via conda recommended. conda install -c conda-forge deeptime pip install deeptime Documentation: deeptime-ml.github.io

495 Dec 28, 2022
exponential adaptive pooling for PyTorch

AdaPool: Exponential Adaptive Pooling for Information-Retaining Downsampling Abstract Pooling layers are essential building blocks of Convolutional Ne

Alexandros Stergiou 55 Jan 04, 2023
RLBot Python bindings for the Rust crate rl_ball_sym

RLBot Python bindings for rl_ball_sym 0.6 Prerequisites: Rust & Cargo Build Tools for Visual Studio RLBot - Verify that the file %localappdata%\RLBotG

Eric Veilleux 2 Nov 25, 2022
Code release for The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification (TIP 2020)

The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification Code release for The Devil is in the Channels: Mutual-Channel

PRIS-CV: Computer Vision Group 230 Dec 31, 2022
Combinatorial model of ligand-receptor binding

Combinatorial model of ligand-receptor binding The binding of ligands to receptors is the starting point for many import signal pathways within a cell

Mobolaji Williams 0 Jan 09, 2022
A simple python program that can be used to implement user authentication tokens into your program...

token-generator A simple python module that can be used by developers to implement user authentication tokens into your program... code examples creat

octo 6 Apr 18, 2022
Husein pet projects in here!

project-suka-suka Husein pet projects in here! List of projects mysejahtera-density. Generate resolution points using meshgrid and request each points

HUSEIN ZOLKEPLI 47 Dec 09, 2022
Static Features Classifier - A static features classifier for Point-Could clusters using an Attention-RNN model

Static Features Classifier This is a static features classifier for Point-Could

ABDALKARIM MOHTASIB 1 Jan 25, 2022
Pytorch implementation of SenFormer: Efficient Self-Ensemble Framework for Semantic Segmentation

SenFormer: Efficient Self-Ensemble Framework for Semantic Segmentation Efficient Self-Ensemble Framework for Semantic Segmentation by Walid Bousselham

61 Dec 26, 2022
Official implementation of "Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object Detection" in CVPR 2022.

Jadena Official implementation of "Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object Detection" in CVPR 2022. arXiv

Qing Guo 13 Nov 29, 2022
This repository contains the implementation of the paper: "Towards Frequency-Based Explanation for Robust CNN"

RobustFreqCNN About This repository contains the implementation of the paper "Towards Frequency-Based Explanation for Robust CNN" arxiv. It primarly d

Sarosij Bose 2 Jan 23, 2022
StableSims is an open-source project aimed at simulating MakerDAO's Dai stablecoin system

StableSims is an open-source project aimed at simulating MakerDAO's Dai stablecoin system, initially used for researching optimal incentive parameters for Liquidations 2.0.

Blockchain at Berkeley 52 Nov 21, 2022