You are currently accessing the institutional-grade blueprint for Rajandran R – QuantZilla. Instant digital deployment and lifetime access are guaranteed immediately upon transaction clearance.
QuantZilla is a immersive mentor-ship program on designing trading systems, converting trading ideas into indicators and trading strategies, automating the trading systems.nnPurchase Rajandran R – QuantZilla courses at here with PRICE $335 $111
DOWNLOAD INSTANTLYPLEASE CHECK ALL CONTENTS OF THE COURSE BELOW!
Rajandran R – QuantZilla
What is QuantZilla?
nnQuantZilla is a immersive mentor-ship program on designing trading systems, converting trading ideas into indicators and trading strategies, automating the trading systems.nnPrerequisites
Quantzilla – Module 1 – Introduction to Quantitative Trading Development Platforms
nn1)Introduction to Quantitative Analysisn2)Investing Vs Tradingn3)Quantitative Trading Systemsn4)Trading System Developmentn5)Introduction to Amibrokern6)Features of Amibroker & Datafeedn7)How to Scan in Amibrokern8)How to Explore in Amibrokern9)How to Backtest in AmibrokernnQuantzilla – Module 2 – Introduction to Amibroker AFL Coding Development and Basic Amibroker Functionsnnn1)Basics of Amibroker AFL Programming.n2)Understanding AFL Editor & Code Snippetsn3)Amibroker identifiers, constants, operatorsn4)Amibroker Built-in Functions (Plot, PlotShape, LastValue, Cross, EMA)n5)How to Plot Trading SignalsnnQuantzilla – Module 3 – Building Scanners and Exploration for Trading & Investing OpportunitiesnnBuilding Simple Scanners (Exploration)nUnderstanding Filter Variable, Addcolumn function, Addtextcolumn functionnCustomizing Scanners & Formatting Scanner outputnReal-time ScannersnDifference between IIF, WriteIF, IF functionsnHow to Write Nested IIF FunctionsnLive Examples on Exploration (Live Coding)nHow to compare Current data with past datasetsnnQuantzilla – Module 4 – Understanding Trading System Development FunctionsnnWhere to Get the Complete list of Amibroker Built-in Functions Understanding Valuewhen FunctionnUnderstanding Barssince FunctionnUnderstanding HHV, LLV, Highest, Lowest, Highestsince, LowestSince Understanding Param Functions & ControlsnUnderstanding Classical Indicators Built-in Functions (MACD, Bollinger, ATR, CCI..etc)nUnderstanding Exrem FunctionnBuilding Simple Donchian Channel Breakout StrategynnQuantzilla – Module 5 – Strategy Creation and Portfolio BacktestingnnBuilding Your First Trading StrategynUnderstanding Basic Building blocks in a trading strategynBacktesting your trading strategynPortfolio level backtestingnBacktesting Ema Crossover, Supertrend Trading SystemnBacktesting Vlintra V5 – Nifty & Bank Nifty 5min trend following systemnnQuantzilla – Module 6 – Measuring Key Performance Indicators (KPI) MetricsnnCAGR OverviewnEquity Curve and DrawdownnMaximum Drawdown and CAR/MDDnRisk-Adjusted ReturnnSharp Ratio and Sortino RationPayoff and Profit FactornRecovery FactornK-RationnQuantzilla – Module 7 – Creating Intraday Trading Strategies and End of Candle Execution Trading StrategiesnnnDifferent Backtesting modes available in AmibrokernCreating your Backtesting TemplatenApplying Stops and Targets to your Trading StrategynBuilding First Intraday Trading StrategynBuilding End of the Candle Execution StrategiesnBasic optimization techniquesnnQuantzilla – Module 8 – Creating Intra-Bar Execution Strategies and Multi Timeframe FunctionsnnBuilding Non-Repainting StrategiesnBuilding Intra-Bar Execution Strategies (Limit Order)nUnderstanding Multi timeframe FunctionsnnQuantzilla – Module 9 – How to Send Trade Alerts in AmibrokernnHow to Send Alerts to Output WindownHow to Send Voice AlertnHow to Send Sound AlertnHow to Send Popup AlertnHow to Send Alerts to Smartphones using Push BulletnHow to use AlertIF, Say, PopupWindow, SendEmail, Play sound functionnHow to Configure Gmail SMTP and How to Install SSL Addon tool for sending Email Alerts using AmibrokernHow to use ParamTrigger & Param Toggle Function and what are the core differences between the two.nHow to use Javascript, VB Script inside Amibroker AFLnnQuantzilla – Module 9 – Introduction to Optimization, Smart Optimization, Walk Forward Testing & Monte CarlonnWhat is Optimization? and How to Perform Optimization?nExhaustive Optimization Vs Smart OptimizationnSmart Optimizers SPSO, TRIBES, CMA-ESnWhat is Curve Fitting and How to Avoid Curve FittingnWhat is Walk Forward Testing? and the Importance of Walk Forward TestingnMonte-Carlo simulation for Strategy ValidationnImportance of Slippage Handling and other Transaction Cost AnalysisnnQuantzilla – Module 10 – Introduction to API, Automated Trading & How to Send Automated OrdersnnWhat is API?nHow to Create API from AlgomojonWhat is Algomojo (Web Based Algo Trading Platform)nHow to send Automated Orders using Broker APInHow the Orders form Amibroker is sent via Broker API to ExchangenAmibroker Configuration Settings for Automated TradingnVideo Links to Learn more about Algomojo Free APInnQuantzilla – Module 11 – Introduction to GFX Functions and Designing Trading DashboardsnnAmibroker Low-Level GFX FunctionsnHow to use the Set the font, Set the GFX background modenHow to use GFX Pen, BrushnHow to understand co-ordinatesnHow to draw a Dashboard with Profit and LossnDifference between Last value and Selected Value FunctionnUsing the Status function to retrieve the pixel width and heightnDifference between Barcount and BarindexnWhat is Quick AFL? How to turn off Quick AFLnHow to use advance loopingnHow to plot trailing stop using the Advance loop methodnnQuantzilla – Module 11 – Introduction to AdvanceloopingnnIntroduction to Advanced LoopingnHow to use Advance looping to plot SupertrendnDifferent Phases & Flags used in Advance looping to plot the Supertrend trailing stoplossnnQuantzilla – Module 12 – Stoploss and Target HandlingnnHow to apply stop loss, profit target, N-Bar stop, Trailing Stop in Amibroker using Backtester SettingsnHow to use Applystop Function in Amibroker (Types, Modes of Stoploss)nHow to plot initial stoplossnnQuantzilla – Module 13 – How to Debug in Amibroker and File Operations?nnHow to apply trace & tracef functionsnHow to use Amibroker AFL DebuggernDebugging Settings, Settings Breakpoints & Watching VariablesnFile Operations in AmibrokernReading CSV,TXT files data using AmibrokernExporting CSV,TXT files data from Amibroker DatabasennQuantzilla – Module 14 – File Operations and How to Backtest Pair Trading StrategiesnnHow to Backtest Pair Trading Strategies in AmibrokernIntroduction to Correlation & Co-Integration FunctionsnUnit Root TestingnAugmented Dickey-Fuller (ADF) TestnnQuantzilla – Module 15 – How to backtest multi legged option strategiesnnWhat are the challenged faced while coding multi-strike options backtestingnWhat are the solutions to fix multi-strike options backtestingnSample code walkthrough and how to create a template for Multi-Strike Options BacktestingnHow to Create a Portfolio of Symbols for Options BacktestingnIdeas to implement the backtesting for multiple years of Options datannQuantzilla Execution Strategies – Module 1nnWhat is Quant Trading?nHow Amibroker can be used for Automated TradingnBasics of Amibroker FeaturesnUnderstanding Tick Charts Vs Minute Charts and Range Bar ChartsnDifferent Types of Automated TradingnnQuantzilla Execution Strategies – Module 2nnLearn to Code Trading Strategies using AmibrokernHow to Design a Trading SystemnCreating an Intraday Breakout Trading System using AmibrokernCreating a Position Breakout Trading System using AmibrokernHow to Send automated Orders using AmibrokernnQuantzilla Execution Strategies – Module 3nnHow to Create Bracket Order & Cover Order Trading Strategies.nHow to trail the stoploss using Order Modification Trading Strategies.nHow to Create Pair Trading Strategies using AmibrokernnQuantzilla Execution Strategies – Module 4nnImplementing Slicing of Orders in Amibroker for Large OrdersnIntroduction to Slippages and Slippage Handling with AlgosnStrategy Optimization, Walk forward and Monte CarlonnQuantzilla Execution Strategies – Module 5nnOption Basic TerminologiesnOption Payoff GraphnOptions PricingnHow to Send Option Orders using Futures/Spot ChartsnnQuantzilla Execution Strategies – Module 6nnUnderstanding Options GreeksnUnderstanding Vertical Spreads, Calendar & Diagonal SpreadsnAutomatic Scalping the Spreads.nnQuantzilla Execution Strategies – Module 7nnScalping the Spreads using AmibrokernHow to Create an Expiry Day Automated Scalping System using Amibroker.nHow to Create Multi Legged Option Trading StrategiesnnQuantzilla Execution Strategies – Module 8nnPortfolio Trading StrategiesnHow to select Portfolio of stocksnEvaluating portfolio & strategy performancenRisk Management: Risk evaluation & mitigation, risk control systemsnPosition Sizing & Kelly CriterionnnQuantzilla Execution Strategies – Module 9nnHow to Implement Straddle & Strangle using AmibrokernHow to Implement Gamma Scalping using AmibrokernnQuantzilla Execution Strategies – Module 10nnHow to Implement Automated Butterfly & Iron Condors using AmibrokernHow to Implement Hedged Futures Trading StrategynWhat is an Options Trading AdjustmentnHow to Implement Option Trading AdjustmentsnBest Trading & Coding PracticesnnCourse CurriculumIntroduction to QuantZillanPreviewQuantZilla 75+ hours of Code Mentoring ProgramnPreviewRSI Momentum Trading Strategy – Amibroker AFL CodenPreviewResourcesnQuantZilla Basics – Day 1nStartIntroduction to Quant Trading and Detailed Introduction to Amibroker (195:17)nStartSimple Trading System – Amibroker AFL CodenStartVolatility Exploration – Amibroker AFL CodenStartResourcesnQuantZilla Basics – Day 2nStartIntroduction to Amibroker AFL Programming and Importing CSV Data (202:51)nStartAFL Code BlocksnStartArrays and Reserved VariablesnStartColor Changing Candlesticks based on MACDnStartHeikin-Ashi CandlesnStartMy First IndicatornStartRSI with Overbought and Oversold Levels PlotnStartResourcesnQuantZilla Basics – Day 3nStartInroduction to Amibroker Exploration and Scanners (187:25)nStartTwo Day Price Consolidation Exploration CodenStartADX Exploration CodenStartBollinger Band and Stoch Exploration CodenStartEMA ExplorationnStartHigh Turnover ExplorationnStartPDH and PDL PlotnStartRSI Text InterpretationnStartSimple ExplorationnStartVolume Breakout ExplorationnStartResourcesnQuantZilla Basics – Day 4nStartIntroduction to Backtesting – Part 1 (81:52)nStartIntroduction to Backtesting – Part 2 (69:03)nStartDifferent Scaling for RSInStartEMA Crossover Trading SystemnStartEMA Crossover Trading System – Non Repainting CodenStartEMA Crossover Trading System with Trading ModulenStartMomentum Trading SystemnStartMomentum Trading System with Investing ModulenStartInvesting Module – Backtesting TemplatenStartTrading Module – – Backtesting TemplatenStartUnequal Allocation – – Backtesting TemplatenStartResourcesnQuantZilla Basics – Day 5nStartIntroduction to Trading System Development (169:12)nStartDonchian Channel Trading System – EOD SystemnStartDonchian Channel Trading System – First Bar High-Low BreakoutnStartDonchian Channel Trading System – High Low BreakoutnStartDoncian Channel Trading System – Touch BasednStartDoncian Channel Trading System – Touch Based with Gap CriterianQuantZilla Basics – Day 6nStartIntroduction to Trading System Optimization and Backtesting Metrics (175:20)nStartChandelier ExitnStartNifty and Bank Nifty Chandlier Exit StrategynStartResourcesnSupplementary (Addon Learnings)nStartAmibroker AFL Programming Part 1 (109:45)nStartAmibroker AFL Programming Part 2 (94:03)nStartAmibroker AFL Programming Part 3 (105:41)nStartAmibroker AFL Programming Part 4 (103:08)nStartAmibroker AFL Programming Part 5 (99:48)nStartAmibroker AFL Programming Part 6 (100:03)nStartAmibroker AFL Programming Part 7 (108:40)nStartAmibroker AFL Programming Part 8 (92:53)nStartAmibroker AFL Programming Part 9 (97:13)nStartAmibroker AFL Programming Part 10 (134:28)nStartAmibroker AFL Programming Part 11 (69:48)nStartAmibroker AFL Programming Part 12 (60:34)nStartAmibroker AFL Programming Part 13 (23:12)nStartAmibroker AFL Programming Part 14 (84:38)nStartResources and Amibroker AFL Codesnn
Salepage: Rajandran R – QuantZilla
nnPurchase Rajandran R – QuantZilla courses at here with PRICE $335 $111Trading foreign exchange and algorithmic assets on margin carries a high level of risk and may not be suitable for all investors. Past performance does not guarantee future results.
