Quantzilla Basic

  • Start Date: March 22, 2021, 6 p.m.
  • End Date: April 23, 2021, 9 p.m.
  • Venue: This is a virtual event. The link to join the event will be shared with you.
₹ 12,500

Quantzilla - Module 1 - Introduction to Quantative Trading Develpment Platforms

1)Introduction to Quantative Analysis
2)Investing Vs Trading
3)Quantative Trading Systems
4)Trading System Development
5)Introduction to Amibroker
6)Features of Amibroker & Datafeed
7)How to Scan in Amibroker
8)How to Explore in Amibroker
9)How to Backtest in Amibroker

Quantzilla - Module 2 - Introduction to Amibroker AFL Coding Development and Basic Amibroker Functions

1)Basics of Amibroker AFL Programming.
2)Understanding AFL Editor & Code Snippets
3)Amibroker identifiers, constants, operators
4)Amibroker Built-in Functions (Plot, PlotShape, LastValue, Cross, EMA)
5)How to Plot Trading Signals

Quantzilla - Module 3 - Building Scanners and Exploration for Trading & Investing Opportunities

Building Simple Scanners (Exploration)
Understanding Filter Variable, Addcolumn function, Addtextcolumn function
Customizing Scanners & Formatting Scanner output
Real-time Scanners
Difference between IIF, WriteIF, IF functions
How to Write Nested IIF Functions
Live Examples on Exploration (Live Coding)
How to compare Current data with past datasets

Quantzilla - Module 4 - Understanding Trading System Development Functions

Where to Get the Complete list of Amibroker Built-in Functions Understanding Valuewhen Function
Understanding Barssince Function
Understanding HHV, LLV, Highest, Lowest, Highestsince, LowestSince Understanding Param Functions & Controls
Understanding Classical Indicators Built-in Functions (MACD, Bollinger, ATR, CCI..etc)
Understanding Exrem Function
Building Simple Donchian Channel Breakout Strategy

Quantzilla - Module 5 - Strategy Creation and Portfolio Backtesting

Building Your First Trading Strategy
Understanding Basic Building blocks in a trading strategy
Backtesting your trading strategy
Portfolio level backtesting
Backtesting Ema Crossover, Supertrend Trading System
Backtesting Vlintra V5 – Nifty & Bank Nifty 5min trend following system

Quantzilla - Module 6 - Measuring Key Performance Indicators (KPI) Metrics

CAGR Overview
Equity Curve and Drawdown
Maximum Drawdown and CAR/MDD
Risk-Adjusted Return
Sharp Ratio and Sortino Ratio
Payoff and Profit Factor
Recovery Factor

Quantzilla - Module 7 - Creating Intraday Trading Strategies and End of Candle Execution Trading Strategies

Different Backtesting modes available in Amibroker
Creating your Backtesting Template
Applying Stops and Targets to your Trading Strategy
Building First Intraday Trading Strategy
Building End of the Candle Execution Strategies
Basic optimization techniques

Quantzilla - Module 8 - Creating Intra-Bar Execution Strategies and Multi Timeframe Functions

Building Non-Repainting Strategies
Building Intra-Bar Execution Strategies (Limit Order)
Understanding Multi timeframe Functions

Quantzilla - Module 9 - How to Send Trade Alerts in Amibroker

How to Send Alerts to Output Window
How to Send Voice Alert
How to Send Sound Alert
How to Send Popup Alert
How to Send Alerts to Smartphones using Push Bullet
How to use AlertIF, Say, PopupWindow, SendEmail, Play sound function
How to Configure Gmail SMTP and How to Install SSL Addon tool for sending Email Alerts using Amibroker
How to use ParamTrigger & Param Toggle Function and what are the core differences between the two.
How to use Javascript, VB Script inside Amibroker AFL

Quantzilla - Module 9 - Introduction to Optimization, Smart Optimization, Walk Forward Testing & Monte Carlo

What is Optimization? and How to Perform Optimization?
Exhaustive Optimization Vs Smart Optimization
Smart Optimizers SPSO, TRIBES, CMA-ES
What is Curve Fitting and How to Avoid Curve Fitting
What is Walk Forward Testing? and the Importance of Walk Forward Testing
Monte-Carlo simulation for Strategy Validation
Importance of Slippage Handling and other Transaction Cost Analysis

Quantzilla - Module 10 - Introduction to API, Automated Trading & How to Send Automated Orders

What is API?
How to Create API from Algomojo
What is Algomojo (Web Based Algo Trading Platform)
How to send Automated Orders using Broker API
How the Orders form Amibroker is sent via Broker API to Exchange
Amibroker Configuration Settings for Automated Trading
Video Links to Learn more about Algomojo Free API

Quantzilla - Module 11 – Introduction to GFX Functions and Designing Trading Dashboards

Amibroker Low-Level GFX Functions
How to use the Set the font, Set the GFX background mode
How to use GFX Pen, Brush
How to understand co-ordinates
How to draw a Dashboard with Profit and Loss
Difference between Last value and Selected Value Function
Using the Status function to retrieve the pixel width and height
Difference between Barcount and Barindex
What is Quick AFL? How to turn off Quick AFL
How to use advance looping
How to plot trailing stop using the Advance loop method

Quantzilla - Module 11 – Introduction to Advancelooping

Introduction to Advanced Looping
How to use Advance looping to plot Supertrend
Different Phases & Flags used in Advance looping to plot the Supertrend trailing stoploss

Quantzilla - Module 12 – Stoploss and Target Handling

How to apply stop loss, profit target, N-Bar stop, Trailing Stop in Amibroker using Backtester Settings
How to use Applystop Function in Amibroker (Types, Modes of Stoploss)
How to plot initial stoploss

Quantzilla - Module 13 – How to Debug in Amibroker and File Operations?

How to apply trace & tracef functions
How to use Amibroker AFL Debugger
Debugging Settings, Settings Breakpoints & Watching Variables
File Operations in Amibroker
Reading CSV,TXT files data using Amibroker
Exporting CSV,TXT files data from Amibroker Database

Quantzilla - Module 14 – File Operations and How to Backtest Pair Trading Strategies

How to Backtest Pair Trading Strategies in Amibroker
Introduction to Correlation & Co-Integration Functions
Unit Root Testing
Augmented Dickey-Fuller (ADF) Test

Quantzilla - Module 15 – How to backtest multi legged option strategies

What are the challenged faced while coding multi-strike options backtesting
What are the solutions to fix multi-strike options backtesting
Sample code walkthrough and how to create a template for Multi-Strike Options Backtesting
How to Create a Portfolio of Symbols for Options Backtesting
Ideas to implement the backtesting for multiple years of Options data