Insights
Trading Automation notes for practical trading software decisions.
Moore Tech articles cover trading platforms, automation workflows, product decisions, and the practical details that matter before code gets written.
Featured Article
Repair, Rebuild, or Continue Developing Trading Software With AI?
Decide whether AI-assisted trading code should be repaired, rebuilt, tested further, or continued with clearer requirements and expert review.
Topics
Find the practical platform detail you need.
Latest Notes
Field notes for traders, builders, and platform decisions.
These posts are written to help traders make better software decisions before a quote, product purchase, repair, conversion, or automation project.
Backtest-to-Live Production-Readiness Checklist
Use this checklist to evaluate whether an automated trading strategy is operationally ready to move from research and simulation toward controlled live use.
Trading System Code Review Checklist
A practical code-review checklist for automated trading systems covering rules, data, state, orders, failures, tests, security, and operations.
Why an AI-Built Trading Bot Can Pass a Backtest and Fail Live
Understand why AI-generated trading bots can look correct historically but fail under live data, order states, reconnects, latency, and broker constraints.
How to Audit an AI-Generated NinjaTrader Strategy
Review NinjaScript created with ChatGPT, Claude, or another AI tool for state, timing, order handling, backtest assumptions, and live-use risk.
EasyLanguage vs NinjaScript: TradeStation and NinjaTrader Compared
Compare EasyLanguage and NinjaScript by learning curve, platform access, indicators, strategy automation, order handling, conversions, and project fit.
TradingView API and Automation: What Is Actually Possible?
Understand TradingView API terminology, Pine Script limits, alerts, webhooks, broker integrations, and practical architectures for automated trading workflows.
NinjaTrader Bot Setup: NT8 Settings, Testing, Products, Support
Set up a NinjaTrader bot with the right NT8 strategy settings, account, instrument, bar type, simulation testing, product path, support path, and live-prep checks.
Agentic Trading Risk Controls
Risk controls to define before building agentic trading software, including permissions, limits, logging, approvals, failure behavior, and staged rollout.
Human-in-the-Loop Agentic Trading Systems
How to design human-in-the-loop agentic trading systems with review gates, approvals, audit logs, risk controls, and safe first versions.
Building Agentic Trading Workflows With Broker APIs
How to scope broker/API agentic trading workflows with account data, order staging, alerts, logs, permissions, and human review.
Agentic Trading Software Scope Checklist
A practical checklist for scoping agentic trading software, including agent roles, data sources, tool permissions, review gates, risk controls, and testing.
Agentic Trading vs Algorithmic Trading
Compare agentic trading and algorithmic trading, including rule execution, workflow agents, human review, platform fit, and what to scope before building.
How to Use Market Internals Before the ES Open
A practical premarket checklist for using market internals before the ES open, including breadth, volume, volatility, confirmation, and data checks.
NinjaTrader Backtest vs Live Results: Why Strategy Behavior Changes
Understand why NinjaTrader strategy backtests can differ from live or simulated results because of fill assumptions, intrabar timing, data, account state, and order handling.
NinjaTrader Strategy Not Working? How to Diagnose the Problem
Troubleshoot a NinjaTrader strategy that does not enable, place orders, backtest correctly, sync positions, or behave the same live as it does historically.
ES Day Trading Strategy Using Market Internals
How ES day trading strategies can use market internals and breadth data such as VIX, TICK, TRIN, ADD, ADV/DECL, and UVOL/DVOL as context.
NinjaTrader Day Trading Bot: What to Check Before Buying
A practical checklist for evaluating a NinjaTrader day trading bot, including strategy rules, data requirements, testing, backtest claims, and risk controls.
NinjaTrader Strategy Programmer: Automation Scope Checklist
A checklist for scoping a NinjaTrader automated strategy, bot, or order-handling workflow before development.
NinjaTrader Grid Bot vs Manual Grid Trading
Compare a NinjaTrader grid bot or grid add-on against manually managing grid trades and repeated order adjustments.
Automated Trading Strategy Development Guide
A practical guide to automated trading strategy development, from rules and platform fit to testing, order handling, deployment, and software scope.
NinjaTrader Automated Trading Guide
A practical guide to NinjaTrader automated and agentic trading, NT8 bots, strategy setup, order handling, testing, live prep, and custom NinjaScript builds.
Automated Trading Bot for NinjaTrader 8: Build or Buy?
Compare building or buying an automated trading bot for NinjaTrader 8, including NinjaScript strategy rules, order handling, testing, and live prep.
AI-Powered NinjaTrader Strategies 2026
A practical view of AI-assisted and agentic NinjaTrader strategy work, including realistic use cases, limits, and what still needs human review.
Trading Bot for NinjaTrader: Rules & Testing
Planning a futures trading bot for NinjaTrader? Define NinjaScript rules, order handling, setup, testing, monitoring, and quote scope before building.
Best Algorithmic Trading Platforms Compared: APIs, Coding and Automation
Compare NinjaTrader, TradeStation, MultiCharts, MetaTrader, TradingView, and Interactive Brokers by API access, language, automation fit, and conversion risk.
Algorithmic Trading Strategies: 12 Types, Examples and Regime Selection
Compare 12 algorithmic trading strategies by market regime, holding period, data needs, execution complexity, risk, and platform fit.
Building and Backtesting Automated Trading Systems
A practical guide to taking an automated trading idea from rules to backtesting, simulation, monitoring, and live deployment.
Algorithmic Trading Tutorial
A plain-English guide to algorithmic and agentic trading, how trade logic becomes software, and what to clarify before building a custom trading system.
Automated Trading Systems
A practical overview of automated trading systems, including rules, testing, deployment, and the platform details that matter before going live.
Need the practical next step?