Search Results for "trading"
Sort By:
11 projects for "trading" with 2 filters applied:
-
PRTG Catches Network Issues Before They Cause DowntimeReactive troubleshooting usually means hearing about a problem from frustrated users, not your monitoring tool. PRTG sets threshold-based alerts across devices, servers and applications, notifying your team by email, SMS or push the moment a metric crosses a set limit. That means catching a failing disk or overloaded server before it becomes an outage and getting time back from firefighting. Start a free trial and set your first alerts today.
-
Build Data Resilience - Take the Assessment TodayIs your recovery strategy as strong as you think? Take this quick self-assessment to check your recovery readiness and gain tailored insights. In only 2 minutes, you'll learn where you fall on the recovery readiness scale.
-
1
Crypto Trading Bot
Cryptocurrency trading bot in javascript for Bitfinex
Crypto Trading Bot is a JavaScript cryptocurrency trading bot that connects to multiple exchanges through the CCXT ecosystem. It is designed to experiment with automated trading logic across exchanges such as Bitfinex, BitMEX, Binance, and Bybit. The bot supports multi-pair operation, technical indicators, configurable strategies, and exchange order workflows. -
2
Kalshi Trading Bot CLI
AI-native CLI for trading Kalshi prediction markets
Kalshi Trading Bot CLI is an AI-driven command-line tool designed to automate trading strategies on Kalshi prediction markets by combining quantitative modeling with real-time market data. It operates by conducting deep research on events, generating independent probability estimates, and comparing those estimates against current market prices to identify trading opportunities. -
3
BTC Trading Since 2020
Public BTC trading context since 2020
BTC-Trading-Since-2020 is a cryptocurrency trading analysis project that focuses on evaluating Bitcoin trading strategies using historical data and algorithmic approaches. The repository serves as both a research and experimentation environment, allowing users to explore how different strategies perform under varying market conditions. It includes backtesting capabilities that enable users to simulate trades over historical Bitcoin price data, helping to identify profitable patterns and risk factors. ... -
4
Nothing Ever Happens
Focused async Python bot for Polymarket
...Its core concept is based on statistical observations that a majority of prediction market outcomes resolve negatively, and it attempts to exploit this base-rate bias through systematic participation rather than predictive modeling. The bot includes a safety-oriented design with explicit environment variable requirements to enable live trading, ensuring that users consciously opt into real financial risk, along with a paper trading mode for testing without capital exposure. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
5
Jesse
An advanced crypto trading bot written in Python
Jesse is an open-source AI agent framework designed to help developers build and orchestrate intelligent workflows that combine large language models (LLMs) with external tools, automation logic, and real-world actions. It acts as an agent manager where you can define tasks, contexts, and tool integrations so that AI reasoning is reliably connected to deterministic procedures like API calls, data retrieval, and task execution. Jesse emphasizes structured outputs, safety boundaries, and... -
6
CCXT
JavaScript/TypeScript/Python/C#/PHP cryptocurrency trading API
The ccxt library is a collection of available crypto exchanges or exchange classes. Each class implements the public and private API for a particular crypto exchange. All exchanges are derived from the base Exchange class and share a set of common methods. To access a particular exchange from ccxt library you need to create an instance of corresponding exchange class. Supported exchanges are updated frequently and new exchanges are added regularly. -
7
MEV Arbitrage Bot for Ethereum
Arbitrage bot is a smart contract connected to an external script
MEV Ethereum Trading Bot is an Ethereum arbitrage project that combines a Solidity smart contract with external Python automation. The contract is designed to search for and execute swaps between approved Uniswap pools and routers in a single transaction. Owners can whitelist tokens and routers, configure fees and swap limits, pause execution, revoke approvals, and withdraw assets. -
8
Catalyst
An Algorithmic Trading Library for Crypto-Assets in Python
Catalyst is an algorithmic trading library for crypto-assets written in Python, originally developed to let quants and developers design, backtest, and deploy trading strategies in a unified environment. It builds on top of Zipline, extending that ecosystem to support crypto exchanges and high-resolution historical data (daily and minute bars). Users can express strategies in Python, run backtests against historical price data, and analyze performance through built-in metrics and analytics to evaluate profitability, risk, and behavior under different market conditions. ... -
9
Charting tools, backtesting tools, and data visualization tools for the most popular cryptocurrencies.
-
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
-
10
Various tools for automating some trading operations on the most popular cryptocurrency exchanges.
-
11
Okcoin Leeks Reaper
Trading bot implementation
This is a high-frequency trading bot implementation targeting the OKCoin cryptocurrency exchange. The repository states that from 2016 June to January 2017, the strategy turned an initial investment of 6,000 into 250,000. The bot embodies two main strategies: trend following (entering on directional moves) and rebalancing (keeping position exposure near 50%) to mitigate downside in reversals.
- Previous
- You're on page 1
- Next
