AlgoTest
Why is there is difference between my Live Trade vs Paper Trade vs Backtest results?
Backtesting a strategy helps in quantifying a strategy’s historical risk and return expectation. Armed with this data, traders get the confidence to deploy large sums
FAQs about SL-L Orders | Algo Trading Software India
Here are some frequently asked questions about our SL-L order feature used with the Live Execution feature in our Algo Trading Software. What is the
FAQs about Pricing | Algo Trading Software India
Here are some frequently asked questions about our pricing model for our backtesting, paper trading and newly launched Live Execution feature in our Algo Trading
Definition of terms in our Algo Trading platform
In this post, we’ll go over the definition of terms in our Algo Trading platform, AlgoTest. Underlying from: The underlying instrument could either be the
Paper trading is now live on AlgoTest! You can now simulate your saved strategies against live market data in real time! What is Paper Trading?
How to Interpret a Backtested Portfolio’s Aggregate Results
This will be a short blog post on interpreting a backtested portfolio’s aggregate results on AlgoTest. Backtesting a Portfolio We released a blog post a
Backtest An Option Buying Strategy Using VWAP
In this blog post, we’ll show you how to backtest an option buying strategy using the VWAP indicator, available exclusively on AlgoTest. A few days
Trail Stop Loss to Break-Even Price when Backtesting
In this post, we’ll show you two variations of the Trail Stop Loss to Break-Even Price when backtesting on https://algotest.in. Building block 1 – Square
Backtest Multiple Strategies Together Using the Portfolio Feature
We recently introduced a new feature on algotest.in called Portfolio, which allows you to backtest multiple strategies together. In this blog, we’ll backtest a sample
Intraday Iron Condor Built Using Straddle Width
We received lots of queries about the intraday iron condor strategy built using Straddle Width we shared on twitter a few weeks ago. Most of
