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Binance Quantization

Binance Quantization is a Python application for automated, long-only spot grid trading. It uses exchange API credentials and a JSON configuration for the trading pair, grid ratios, position state, and staged order quantities. Its README describes automatically raising grid prices as the market rises and supports optional DingTalk alerts.

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Independent OpenViST project profile, based on linked sources.

Binance Quantization — OpenViST project profile in Exchanges & Trading.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when you want to run a self-hosted, long-only spot-grid routine with configurable pair, ratios, and staged quantities, and can meet its server and exchange-access requirements.

Who it is for

  • Python users who want to run a configured spot-grid strategy on a Linux server.
  • Traders who can manage exchange API credentials, pair settings, and spot-account funds.
  • Users who want optional DingTalk notifications for the bot.

Documented uses

  • Configure a spot pair and the price ratios that determine staged buys and profit-taking sells.
  • Set different purchase quantities for successive grid entries.
  • Start the strategy with exchange API credentials.
  • Receive optional DingTalk bot alerts.
Before you choose

Requirements & limits

The repository is public and licensed under MIT. The documented workflow requires exchange API credentials; a DingTalk token is needed only for the described alert mode.

  • The strategy is long-only spot trading, and the README says it can raise grid prices as the market rises.
  • The configuration exposes the trading pair, buy and sell ratios, position state, and staged quantities.
  • The README describes Binance and Huobi API use but does not document a general exchange-adapter interface.
  • The README recommends an overseas server because exchange API access may be unreliable from mainland China.
  • It identifies Python 3 on Linux and the requests package for setup.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Configure and start the spot grid bot

Set the documented credentials and grid parameters, install the listed dependency, and launch the main script.

Before you start

  • Python 3 on Linux, with a server able to reach the exchange API.
  • Exchange API key and secret.
  • A funded spot account and a chosen trading pair.
  • The requests Python package.
  • A DingTalk bot token only if using the documented notification mode.

Steps

  1. Enter the exchange API key and secret in the app authorization file; add a DingTalk bot token there if using alerts.

  2. Edit data/data.json to set the trading pair, profit and buy-step ratios, position state, and staged quantity list.

  3. Install the listed dependency with pip install requests.

  4. Run python eth-run.py for the documented DingTalk-notification mode.

Expected outcome

The configured main script is started for the spot-grid strategy; the README identifies eth-run.py as the DingTalk-enabled launch option.

Guide limitations

  • The README cautions that exchange API access may be unreliable from mainland China and recommends an overseas server.
  • The account needs sufficient funds for orders and fees; the README specifically notes BNB for Binance fee payment.
  • The documented procedure does not include backtesting or a pre-trade simulation.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
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Sources checked
15 October 2026
Original website title
hengxuZ/binance-quantization · Official homepage title · retained in its source language
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