3commas-cyber-bots
intelligent-trading-bot
| 3commas-cyber-bots | intelligent-trading-bot | |
|---|---|---|
| 3 | 26 | |
| 210 | 1,004 | |
| - | - | |
| 5.8 | 7.6 | |
| 8 months ago | 2 days ago | |
| Python | Python | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
3commas-cyber-bots
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Best "3commas-related" tools
Speaking for myself I'd recommend: - 3C Portfolio Manager - 3C Portfolio Manager (3cpm.io) - GitHub - cyberjunky/3commas-cyber-bots: 3Commas bot helpers, AltRank, GalaxyScore, Watchlists, Auto-Compound, TrailingStopLoss, TakeProfitIncrement
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What daily % does your current bot(s) generate in profit?
Look at https://github.com/cyberjunky/3commas-cyber-bots
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Telegram starting condition for bots?
In fact, it's easy, I build this a few weeks ago: https://github.com/cyberjunky/3commas-cyber-bots
intelligent-trading-bot
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Show HN: High-Frequency Trading and Market-Making Backtesting Tool with Examples
You could try a tool for trade signal generation based on machine learning and feature engineering:
https://github.com/asavinov/intelligent-trading-bot
It trains ML models based on historic data and custom features and then uses them to generate a kind of intelligent indicator between -1 and +1. This intelligent indicator is then used to make trade decisions. Frequency is a parameter and can very from 1 minute for crypto trading to 1 day for normal exchanges.
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TimeGPT-1
I agree that the conventional (numeric) forecasting can hardly benefit from the newest approaches like transformers and LLMs. I made such a conclusion while working on the intelligent trading bot [0] by experimenting with many ML algorithms. Yet, there exist some cases where transformers might provide significant advantages. They could be useful where the (numeric) forecasting is augmented with discrete event analysis and where sequences of events are important. Another use case is where certain patterns are important like those detected in technical analysis. Yet, for these cases much more data is needed.
[0] https://github.com/asavinov/intelligent-trading-bot Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
- intelligent-trading-bot: NEW Other Models - star count:567.0
- intelligent-trading-bot: NEW Other Models - star count:494.0
What are some alternatives?
jesse - An advanced crypto trading bot written in Python
binance-trade-bot - Automated cryptocurrency trading bot
algobot - Cryptocurrency trading bot with a graphical user interface with support for simulations, backtests, optimizations, and running live bots.
blankly - 🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.
polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
algotrading - Algorithmic trading framework for cryptocurrencies.
node-binance-trader - 💰 Cryptocurrency Trading Strategy & Portfolio Management Development Framework for Binance. 🤖
FaucetCryptoBot - A bot for FaucetCrypto a cryptocurrency faucet. The bot can currently claim PTC ads, main reward and all the shortlinks except exe.io and fc.lc.
RSI-divergence-detector - RSI divergence detector finds regular and hidden bullish and bearish divergences
dca-cefi - Cryptocurrency bot to do DCA in more than 100 exchanges
shrimpy-python - Shrimpy’s Developer Trading API is a unified way to integrating trading functionality across every major exchange. Collect historical market data, access real-time websockets, execute advanced trading strategies, and manage an unlimited number of users.