Here is a short online webinar on how to use Algoaction platform and Amibroker to send Bracket order, Cover orders and Multi Orders (Basket Orders). Webinar is explained with how to send pair trading orders, multi leg option orders using Amibroker.
AlgoAction – a web-based algotrading application now supports Bracket order, Multi Orders and Multi Bracket Orders. Multi-Order facility helps
traders in sending basket orders, pair trading, automated rollovers, multi leg option orders.
Open Range Breakout is a simple strategy which monitors first 5min / 15min / 15min / 30min / 60min range from the start of the market. From the opening high range and low range is calculated for the specified timeframe. Most of the AFL code found on the internet is either buggy or not suitable for building back-testable trading systems. To solve this issue we are releasing a prototype for ORB – Open Range Breakout Levels. On top of this indicator now traders can built backtestable trading systems.
This tutorial demonstrates how to send orders from Amibroker to Algoaction using Simple GUI buttons. GUI buttons are newer functions in Amibroker 6.21 version onwards. This utilize this afl code requires Amibroker 6.21 version or higher and access to Algoaction + Tradejini arrow API.
In the last webinar, we discussed how to send automated orders via algoaction platform. In this webinar, we will be looking closer into the understanding of chart-based trading vs Exploration based Automated Trading. This webinar also explores the pros and cons of chart-based trading vs scan/exploration based trading using Amibroke software. Traders will be learning, what are the day to day operations required for chart based or scan/exploration based automated trading.
Algoaction is a Next Generation Algotrading Platform built on top of low latency Tradejini Arrow API. Algoaction brings clean user interface and smart algo engine to simplify algotrading process for budding algorithmic traders and highly trained algo traders.
In this webinar, you will be learning how to create How to Create Multi Timeframe Trading Strategy. And insights on how multi timeframe apporach could help you to take better trading decisions.
Here is a video tutorial which explains how to make use of your Amibroker backtesting report by building simple metrics and visualize your trading strategy with MS Excel Pivot tables. Some of the metrics built in this video include total profitable months, total losing months, Max Profitable Month, Max Profitable Loss and the visualization of the month on month profitability using condition-based coloring and pivot table charts for a better understanding of risk-reward ratio involved in your trading strategy.
Learn the nuances of trading/investing strategies, the art of chart reading and picking up high probability trades. It is an educational workshop for active traders focused on how to pick low-risk, high potential entry points for your trade.
Algostudio is a simple and clean user interface which is built on top of Upstox REST API with a large feature set, helping you to automate your quantitative trading who is looking to streamline their processes through automation and effective management of their day-to-day trading activities. Algostudio converts amibroker trading signals to automated orders. It is a single interface where provisions are made to execute and monitor your trade positions at one single place.
Here is the recorded video on how to create custom indicators, scanners/exploration, trading strategies, Signal Generation, Creating Trading Signal Dashboard , Performing Technical analysis and even test/validate your trading models and how to perform end to end automation explained live coding examples, real life trading systems and practical automated trading systems.
Is there a way where one can identify market regime shift from low volatility zone to high volatility zone and vice versa? How I can identify stocks with increasing volatility? Is there a way one can identify the regime shift in volatility? These are the bugging question from many short-term traders.