Cointrol is a Bitcoin trading bot and real-time dashboard for Bitstamp created by @jakubroztocil.Cointrol was created to automate Bitcoin speculation.Besides automated trading based on price change triggers and various trading strategies, it also provides a real-time updated dashboard for your Bitstamp account where you can see all your orders and transactions real-time updated (something Bitstamp lacks).The dashboard for a real-time updated overview can also be used standalone without letting Cointrol make any transactions.Even though the original idea was to perhaps provide a fully-fledged hosted service, the system remained quite basic as it has only been used by its creator for a period of time in the winter of '13/'14 (when BTC price fluctuations were pretty insane).Some of the obvious limitations—all of which could easily be addressed—are: Even though Cointrol has been used for real transactions, no guarantees are provided in terms of security, correctness, etc. (see LICENCE).

The system consists of the following components: The server-side parts (cointrol-server + cointrol-trader) are written in Python 3 (3.3+ is required) and use a mixture of Django (models, admin) and Tornado (WebSockets, async IO).linux bitcoin miner gpuOther libraries that are used include sockjs-tornado, Django REST framework.bitcoin intel hd 2000The single-page webapp is written in CoffeeScript, Sass, Handlebars and uses Backbone.js, Brunch, socksjs-client, Bootstrap.dogecoin value may 2014Make sure you have the following software installed on your system: Go to https://www.bitstamp.net/account/security/api.bitcoin sicurezzaCreate a new key and configure permissions for it.express coin bitcoin review

Cointrol needs at least the following permissions: If you want Cointrol make transactions for you, select two following permissions as well: Don't forget to activate the key by clicking "Activate" and confirming the email you receive from Bitstamp.free litecoin winBy default, it will run on http://localhost:8000.You can change the port with --port=.Use this convenient link to log in: http://localhost:8000/admin/login/?next=/ — the Django admin interface is used for authentication, and this link ensures redirection back to the app after signing you in.Green: The web app has a WebSocket connection to cointrol-server, and have recently heard from cointrol-trader.Amber: The web app has a WeSocket connection to cointrol-server, but have not heard from cointrol-trader in a while.Red: The web app couldn't establish WebSocket connection to cointrol-server.Note, until trading is configured and the COINTROL_DO_TRADE settings set to True (covered in a later step), the trader won't make any transactions.

It only pulls your data from Bitstamp to populate the dashboard view.Until the following steps are completed and trading is explicitly enabled, Cointrol doesn't attempt to make any transaction on your behalf: The settings is resolved in this order: During the installation process, you've created cointrol/cointrol/conf/settings_local.py which imports settings from the settings_dev.py file.All the settings are Django settings.The only non-Django settings is COINTROL_DO_TRADE (False in dev, True in prod).You can override any of the default settings in the settings_local.py file.Besides settings_dev.py, the conf directory also has settings_prod.py, which is more suitable for production use.It defines logging configuration which makes messages of a level >= WARNING logged by the trader to be sent to you via email (e.g.when the trader places an order or there is an error).If you decide to use this settings file (by changing the import in settings_local.py to from .settings_prod import *, you'll have to configure at least DATABASES, ADMINS and SECRET_KEY as well in your in settings_local.py.

Python Algorithmic Trading Library PyAlgoTrade is a Python Algorithmic Trading Library with focus on backtesting and support for paper-trading and live-trading.Let’s say you have an idea for a trading strategy and you’d like to evaluate it with historical data and see how it behaves.PyAlgoTrade allows you to do so with minimal effort.Quickstart Main features Fully documented.Supports Market, Limit, Stop and StopLimit orders.Finance, Google Finance and NinjaTrader CSV files.Supports any type of time-series data in CSV format, for example Quandl.Bitcoin trading support through Bitstamp.Technical indicators and filters like SMA, WMA, EMA, RSI, Bollinger Bands, Hurst exponent and others.Performance metrics like Sharpe ratio and drawdown analysis.Handling Twitter events in realtime.Scalable Very easy to scale horizontally, that is, using one or more computers to backtest a strategy.Free PyAlgoTrade is free, open source, and it is licensed under the Apache License, Version 2.0.

💰 bitcoin trading bot coinbase market algorithm money python commits branch releases contributor MIT Latest commit cefd185 Jun 9, 2017 Create trader.py Permalink README.md Python Coinbase trading bot (BTC<>USD) 💰 Bitcoin trading bot based on a simple exponential moving average (trading via Coinbase).I'm trying to write a simple bot that sells bitcoin the moment it makes enough profit to pay for transaction fees, plus a small margin.It will do this thousands of times per day, and hopefully profit in the long run as long as the market is volatile and trending upwards (i.e.as long as not too many people are running bots exactly like this one).If everyone ran bots like this the market would be flat, and no one would profit because bots would quickly equalize any fluctuations, but based on the recent press and hubub around bitcoin, I think it's volatile enough to make a small profit using a simple algorithm like this one.

The algorithm works by making a set of small initial buys (~$10), then tracking the market price in relation to the purchased price.If the price drops below the purchase price, it'll sell immediately to avoid any losses.If the price rises back above the purchase price, it'll rebuy the same amount, and sell once it goes above the min profit margin amount + transaction fees.This type of tight, risk-averse bot will only make small profits because it'll never wait for big upward trends to max out, it'll sell as soon as it goes in the green.The trading algorithm is nowhere near complete, it will trade REAL MONEY though, so beware if you run it.The trader.py file is intentionally broken, to run it you much read analyze() and adapt it to your own needs.====== TODOS: Implement better ties between buys and sells (instead of just buys.pop(idx)) Write the initial buy code that kicks off trading each day Implement a bankroll system so the bot is only ever trading with profits Write a meta-trader that spawns multiple traders with tweaked parameters to see which ones make the most money Switch to the Coinbase Exchange API instead of the general trading API ====== I'm not responsible for any money you lose due to my bad algorithm, bugs in the implementation of it, or fluctuations in the market.