TradeGladiator
AI Stock Analysis: How Automated Daily Research Actually Works
A deterministic six-factor score computed before any language model sees it — what that buys you, where it breaks, and why the score decides while the AI only explains.
Read →TradeGladiator Blog
Expert guides on trading journals, AI trading signals, Smart Money Concepts, and performance analytics.
Market Intelligence
Daily Stock Analysis: Why “What Changed” Beats “What Is”
A score barely moves day to day. A daily product either reports the delta honestly or manufactures a story — the materiality threshold and the quiet-day state that keep it honest.
Read →Stock Scoring Model: How a 0–100 Composite Is Actually Built
Six factors, equal weights in v1, and why hand-picked weights with no outcome data are an opinion wearing a number’s clothes.
Read →Stock Quality Metrics: Margins, ROE, Debt, and Free Cash Flow
Margins, ROE and the leverage that flatters it, debt-to-equity conventions that trip up comparisons, and why free cash flow is the least manipulable number on the statements.
Read →Trend Analysis With Moving Averages
Price versus MA20/50/200, the alignment stack, and slope. Why the 200-day works as a regime filter and fails as an entry trigger.
Read →Stock Valuation Ratios: P/E, Forward P/E, PEG, and Price to Free Cash Flow
What each multiple prices, where forward estimates smuggle in analyst error, and why a low P/E is a question rather than an answer.
Read →Momentum Indicators: Wilder RSI, MACD, and 52-Week Position
Wilder’s smoothing versus the simple-average shortcut, MACD as trend plus acceleration, and why 52-week position frames every momentum reading.
Read →The Earnings Catalyst Calendar: Trading the Window, Not the Number
Proximity to an earnings date changes a position’s risk before the number arrives. Volatility crush, drift, and news volume as the between-reports proxy.
Read →AI Stock Analysis vs ChatGPT: Why Asking a Chatbot Isn’t the Same Thing
A language model can produce a different rating for the same stock on the same day. Determinism, calibration, and what a chatbot structurally cannot give you.
Read →Institutional Ownership Analysis: Fund Holdings, Concentration, and Cluster Buying
Holder counts versus percentage held, concentration as a two-sided risk, the reporting lag that makes this context rather than a signal, and what clustered buying adds.
Read →Macro Dashboard: Bridgewater-Inspired Regime Analysis for Smarter Allocation
30 macro indicators, 9 economic regimes, All-Weather allocation with tactical tilts across 10 ETFs. Institutional-grade regime classification for individual traders.
Read →SEC Insider Trades: How to Track What Executives Are Buying
Form 4 filings, institutional 13F holdings, and how live EDGAR data inside your trading journal changes how you read a setup.
Read →How to Judge a Stock Rating Service's Track Record
Five questions that separate a real track record from a marketing number: fixed horizon, mechanical resolution rule, the right benchmark, published losers, and how small samples are handled.
Read →Seven Stock Analysis Mistakes That Survive Contact With Data
Single-factor overfitting, horizon confusion, ratings that flip on noise, backtests read as records, the wrong benchmark, small samples, and fluent narratives mistaken for evidence.
Read →Stock Screener vs Stock Analysis: Filters Find Candidates, Analysis Forms a View
A screener answers which names satisfy a set of conditions right now. Analysis answers what state a name is in and what changed. Four things a filter cannot do, three things analysis cannot do, and when a screener alone is enough.
Read →Best AI Stock Analysis Tools in 2026: An Honest Comparison
Seeking Alpha Quant, Zacks, Danelfin, TipRanks, Simply Wall St and Robinhood Cortex, each checked against four questions — deterministic score, stated horizon, real benchmark, published losers. Every claim sourced to the vendor's own page with the date it was read.
Read →Trading Journals
How to Start a Trading Journal in 2026
A step-by-step guide to building a trading journal habit that actually improves your win rate and consistency.
Read →Free Trading Journal App: What to Look For
Not all free journal apps are equal. Here is what separates useful tools from glorified spreadsheets.
Read →Trading Journal for Crypto: Track BTC, ETH & Altcoins
Crypto moves 24/7. Learn how to journal volatile assets, DeFi trades, and multi-exchange portfolios effectively.
Read →Trading Journal for Forex: Multi-Pair Tracking Guide
Track currency pairs, sessions, and pip performance. Tailored journaling for forex traders.
Read →Trading Journal Template: What to Track & Why
The essential fields every trade entry needs, from setup type and risk/reward to emotional state and lessons learned.
Read →Trading Psychology: Master Your Emotions for Profit
The 5 emotional traps that destroy trading accounts and how a journal helps you overcome them.
Read →Day Trading Journal: What to Track for Intraday Success
Specialized tracking for day traders — session timing, execution speed, and P&L by hour.
Read →Options Trading Journal: Track Spreads, Greeks & P&L
Why options traders need specialized tracking for Greeks, IV, multi-leg strategies, and expiration management.
Read →Swing Trading Journal: Track Multi-Day Positions
Specialized tracking for swing traders — multi-day P&L, partial exits, overnight risk, and weekly reviews.
Read →How to Create a Trading Plan That Actually Works
The 8 essential components every trading plan needs, with a template and testing process.
Read →10 Common Trading Mistakes (And How to Avoid Them)
From revenge trading to ignoring risk management — the mistakes that destroy accounts and how to fix them.
Read →AI & Signals
AI Trading Signals Explained: How AI Grades Your Trades
Understand how AI evaluates trade setups using multi-timeframe analysis, momentum scoring, and confidence grades.
Read →Smart Money Concepts + AI: How Institutional Analysis Powers Your Signals
How order blocks, fair value gaps, and liquidity sweeps get quantified by AI for actionable trade signals.
Read →Order Blocks Explained: How Smart Money Enters the Market
Learn how institutional traders create order blocks and how to identify them for high-probability entries.
Read →Fair Value Gaps (FVG) Explained: Trading Imbalances for Profit
Understand why fair value gaps form, the three types, and how to trade them with confluence from order blocks.
Read →Break of Structure (BOS) & CHoCH: Market Structure Guide
Master BOS and Change of Character signals to identify trend continuations and reversals like a pro.
Read →Liquidity in Trading: Sweeps, Grabs & Pool Analysis
How institutions use liquidity pools, sweeps, and grabs — and how to trade them with Smart Money Concepts.
Read →Candlestick Patterns: The Complete Trading Guide
Master bullish and bearish reversal patterns, continuation signals, and how AI detects them on your charts.
Read →Fibonacci Trading: Retracements, Extensions & Levels
The key Fibonacci levels, how to draw retracements and extensions, and combining with Smart Money Concepts.
Read →Supply and Demand Trading: Zones, Strategy & Setup
How to identify and trade supply/demand zones, quality factors, and combining with order blocks.
Read →Adversarial AI in Trading: Why Two Opinions Beat One
Learn how bull/bear adversarial AI debate produces more balanced, less biased trade analysis than a single model.
Read →How AI Learns From Your Past Trades
Discover how reflection loops let AI reference your trade history to give personalized, improving analysis over time.
Read →AI vs Manual Trade Analysis: Which Is More Accurate?
A candid comparison of AI-driven and manual trade review, including where each approach excels and falls short.
Read →BM25 vs RAG for Financial AI: Why We Chose Simplicity
A technical deep-dive into why keyword search (BM25) outperformed vector RAG for our financial trade retrieval use case.
Read →Analytics
10 Trading Analytics Every Trader Should Track
From win rate to expectancy, the ten metrics that separate consistently profitable traders from the rest.
Read →How to Calculate Win Rate, Sharpe Ratio, and Sortino
Formulas, worked examples, and practical interpretation for the three most important performance ratios.
Read →Max Drawdown Explained: What It Means For Your Trading
Why max drawdown matters more than total return, and how to use it to size positions and manage risk.
Read →Profit Factor & Expectancy: The Metrics That Matter
Understand profit factor and mathematical expectancy to know whether your strategy has a real, repeatable edge.
Read →Sharpe Ratio Explained: Measure Risk-Adjusted Returns
Step-by-step formula, interpretation table, worked examples, and when to use Sortino instead.
Read →Trading Risk Management: The Complete Guide for 2026
The 1% rule, position sizing formulas, stop loss strategies, and how to build a risk management plan.
Read →How to Backtest a Trading Strategy (Complete Guide)
Step-by-step backtesting process, common mistakes like curve fitting, and manual vs automated approaches.
Read →Equity Curve Explained: Read Your Trading Performance
How to interpret your equity curve shape — smooth uptrends, jagged lines, and drawdown patterns.
Read →Calmar Ratio Explained: Measure Drawdown-Adjusted Returns
Formula, interpretation table, and when to use Calmar vs Sharpe vs Sortino for your strategy.
Read →R-Multiple Explained: Measure Trades in Units of Risk
Why measuring trades in R (units of risk) gives a clearer picture than dollar P&L alone.
Read →Comparisons
TradeGladiator vs Edgewonk 2026
Feature-by-feature breakdown of TradeGladiator and Edgewonk, covering AI signals, pricing, and platform support.
Read →TradeGladiator vs Trademetria 2026
How TradeGladiator compares to Trademetria on analytics, AI capabilities, mobile apps, and free plan availability.
Read →TradeGladiator vs Kinfo 2026
A detailed comparison of TradeGladiator and Kinfo, focusing on signal quality, broker integration, and pricing tiers.
Read →Ready to Trade Smarter?
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