https://tradeodds.io/ 2026-07-20 weekly 1.0 https://tradeodds.io/pricing 2026-07-20 weekly 0.9 https://tradeodds.io/how-it-works 2026-07-20 monthly 0.8 https://tradeodds.io/api-docs 2026-07-20 weekly 0.8 https://tradeodds.io/ai-instructions 2026-07-20 weekly 0.9 https://tradeodds.io/llms.txt 2026-07-20 weekly 0.8 https://tradeodds.io/learn 2026-07-20 weekly 0.8 https://tradeodds.io/compare 2026-07-20 weekly 0.8 https://tradeodds.io/stocks 2026-07-20 daily 0.8 https://tradeodds.io/conditions 2026-07-20 monthly 0.7 https://tradeodds.io/docs/schema 2026-07-20 monthly 0.7 https://tradeodds.io/docs/factors 2026-07-20 monthly 0.7 https://tradeodds.io/faq 2026-07-20 monthly 0.7 https://tradeodds.io/glossary 2026-07-20 monthly 0.6 https://tradeodds.io/data-sources 2026-07-20 monthly 0.5 https://tradeodds.io/api/playground 2026-07-20 monthly 0.6 https://tradeodds.io/query-playground 2026-07-20 monthly 0.6 https://tradeodds.io/bitcoin 2026-07-20 weekly 0.7 https://tradeodds.io/bitcoin-probability 2026-07-20 weekly 0.7 https://tradeodds.io/status 2026-07-20 weekly 0.3 https://tradeodds.io/terms 2026-07-20 yearly 0.3 https://tradeodds.io/privacy 2026-07-20 yearly 0.3 https://tradeodds.io/disclosures 2026-07-20 yearly 0.3 https://tradeodds.io/tools/backtest-tool 2026-07-20 monthly 0.6 https://tradeodds.io/tools/factor-match-scanner 2026-07-20 monthly 0.6 https://tradeodds.io/tools/stock-base-rate-calculator 2026-07-20 monthly 0.6 https://tradeodds.io/learn/5-ways-to-connect-claude-to-market-data 2026-07-16 monthly 0.7 https://tradeodds.io/images/og-5-ways-to-connect-claude-to-market-data.png 5 Ways to Connect Claude to Stock Market Data in 2026 https://tradeodds.io/images/5-ways-to-connect-claude-to-market-data-infographic.webp 5 ways to connect Claude to stock market data, ranked by setup effort: an MCP server (Anthropic's open standard) is the pick for ongoing use, a REST API call is cheapest for one-off lookups, a Claude Project bundle shares context with a team, a Custom GPT covers ChatGPT users, and a build-your-own server gives full control — four return live data, the Project bundle is a static snapshot https://tradeodds.io/learn/best-apis-for-trading-bots-2026 2026-07-16 monthly 0.7 https://tradeodds.io/images/og-best-apis-for-trading-bots-2026.png Best APIs for Trading Bots in 2026: 8 Market Data Platforms Compared https://tradeodds.io/images/best-apis-for-trading-bots-2026-infographic.webp Best APIs for trading bots in 2026 compared: 8 market data platforms — TradeOdds, Polygon/Massive, Alpha Vantage, Tiingo, QuantConnect, yfinance, Financial Modeling Prep, and Twelve Data — ranked by history depth, entry price, and standout feature, with pricing verified June 4, 2026 https://tradeodds.io/learn/best-market-data-apis-for-ai 2026-07-16 monthly 0.7 https://tradeodds.io/images/og-best-market-data-apis-for-ai.png 8 Best Market Data APIs for AI Stock Analysis (2026) https://tradeodds.io/images/best-market-data-apis-for-ai-infographic.webp Market data APIs for AI compared: 8 providers scored on data type, native MCP server support, and free tier — a native MCP server is usually the real deciding factor for Claude and ChatGPT workflows https://tradeodds.io/learn/best-month-to-buy-stocks 2026-07-16 monthly 0.7 https://tradeodds.io/images/og-best-month-to-buy-stocks.png The Best Month to Buy Stocks: 30 Years of S&P 500 Data https://tradeodds.io/images/best-month-to-buy-stocks-infographic.webp The best month to buy stocks: 30 years of S&P 500 seasonality by month — October strongest at +2.25% average next-month return, February the only negative month https://tradeodds.io/learn/best-stock-backtest-platforms-2026 2026-07-16 monthly 0.7 https://tradeodds.io/images/og-best-stock-backtest-platforms-2026.png Best Stock Backtest Platforms in 2026: 7 Tools Compared by Power and Price https://tradeodds.io/images/best-stock-backtest-platforms-2026-infographic.webp The best stock backtest platforms in 2026 compared in one matrix — QuantConnect, Backtrader, Backtesting.py, TradeOdds, Composer, Zipline, and vectorbt by category, pricing, and differentiator, split into full strategy environments vs data layers you run yourself https://tradeodds.io/learn/factor-match-explained 2026-04-16 monthly 0.7 https://tradeodds.io/learn/how-to-backtest-a-single-trade 2026-07-16 monthly 0.7 https://tradeodds.io/images/og-how-to-backtest-a-single-trade.png How to Backtest a Single Trade Against History (No Code Required) https://tradeodds.io/images/how-to-backtest-a-single-trade-infographic.webp How to backtest a single trade against history with no code: enter the ticker and date, TradeOdds rebuilds that day's 17-condition fingerprint, matches similar days across up to 20 years, and returns the win rate and median return at 1, 5, and 20 days in under 2 seconds https://tradeodds.io/learn/how-to-backtest-a-trade-idea-with-claude 2026-07-16 monthly 0.7 https://tradeodds.io/images/og-how-to-backtest-a-trade-idea-with-claude.png How to Backtest a Trade Idea with Claude (Natural Language, 2026) https://tradeodds.io/images/how-to-backtest-a-trade-idea-with-claude-infographic.webp How to backtest a trade idea with Claude in plain English: describe the setup, and the TradeOdds MCP returns a historical base rate. One worked example found 164 matching days across 35 years, 64.0% of them closing higher over the next 5 sessions with a +1.37% mean return. https://tradeodds.io/learn/how-to-build-a-custom-gpt-for-stock-analysis 2026-07-16 monthly 0.7 https://tradeodds.io/images/og-how-to-build-a-custom-gpt-for-stock-analysis.png How to Build a Custom GPT for Stock Analysis (2026 Guide) https://tradeodds.io/images/how-to-build-a-custom-gpt-for-stock-analysis-infographic.webp How to build a Custom GPT for stock analysis: the six-step setup — download the TradeOdds Actions config, create the GPT, write the instructions, add Actions with Bearer auth, test, and publish — wiring ChatGPT to the analyze, factor_match, query, and list_symbols tools across 35 years of market data. https://tradeodds.io/learn/how-to-connect-claude-to-market-data 2026-07-16 monthly 0.7 https://tradeodds.io/images/og-how-to-connect-claude-to-market-data.png How to Connect Claude to Stock Market Data (MCP Setup, 2026) https://tradeodds.io/images/how-to-connect-claude-to-market-data-infographic.webp How to connect Claude to market data: the five-step MCP setup — generate an API key, install the tradeodds-mcp server, add one entry to Claude Desktop's config, restart, and verify — giving Claude four tools that query 35 years of market data in about five minutes https://tradeodds.io/learn/how-to-connect-cursor-to-trading-data 2026-07-16 monthly 0.7 https://tradeodds.io/images/og-how-to-connect-cursor-to-trading-data.png How to Connect Cursor to Stock Trading Data (MCP Setup, 2026) https://tradeodds.io/images/how-to-connect-cursor-to-trading-data-infographic.webp Connect Cursor to trading data in five steps — generate a TradeOdds API key, install the tradeodds-mcp server, add it to ~/.cursor/mcp_settings.json, restart Cursor, and verify in Composer. A roughly five-minute MCP setup that gives Cursor's AI direct access to historical market data and SQL, verified June 4, 2026. https://tradeodds.io/learn/how-to-find-historical-stock-pattern-matches 2026-07-16 monthly 0.7 https://tradeodds.io/images/og-how-to-find-historical-stock-pattern-matches.png How to Find Historical Stock Pattern Matches (Without Drawing Lines on Charts) https://tradeodds.io/images/how-to-find-historical-stock-pattern-matches-infographic.webp How to find historical stock pattern matches: TradeOdds captures a stock's daily fingerprint of 17 measurable conditions and searches 20+ years across 2,000+ symbols for the days that shared it — matching situations, not chart shapes https://tradeodds.io/learn/how-to-pick-a-data-feed-for-your-trading-bot 2026-07-16 monthly 0.7 https://tradeodds.io/images/og-how-to-pick-a-data-feed-for-your-trading-bot.png How to Pick a Data Feed for Your Trading Bot (2026 Decision Guide) https://tradeodds.io/images/how-to-pick-a-data-feed-for-your-trading-bot-infographic.webp How to pick a data feed for a trading bot: seven feeds mapped by best-fit bot, monthly price, and standout feature — five questions decide the choice before price, and TradeOdds Pro ($29/mo) ships 16 pre-computed factors plus the only published MCP server https://tradeodds.io/learn/how-to-write-sql-against-stock-data 2026-07-16 monthly 0.7 https://tradeodds.io/images/og-how-to-write-sql-against-stock-data.png How to Write SQL Against Historical Stock Data (Power User Tier, 2026) https://tradeodds.io/images/how-to-write-sql-against-stock-data-infographic.webp How to write SQL against stock data: one SPY query across a 22M-row, 35-year database returns in 187ms for 1 credit — 164 matching days, 64% closed higher within 5 days, and bucket-column filters beat raw-column full scans https://tradeodds.io/learn/open-to-close-vs-close-to-close-returns 2026-07-16 monthly 0.7 https://tradeodds.io/images/og-open-to-close-vs-close-to-close-returns.png Open-to-Close vs Close-to-Close Returns: Why the Difference Matters in Backtesting https://tradeodds.io/images/open-to-close-vs-close-to-close-returns-infographic.webp Open-to-close vs close-to-close returns: close-to-close measures from a theoretical closing-bell price, next-open-to-close measures from the executable next-day open, and the overnight gap between them can hand a backtest a phantom 1.5% you could never have traded https://tradeodds.io/learn/stock-win-rate-calculator-guide 2026-07-16 monthly 0.7 https://tradeodds.io/images/og-stock-win-rate-calculator-guide.png Stock Win Rate Calculator: How to Check Historical Odds for Any Trade https://tradeodds.io/images/stock-win-rate-calculator-guide-infographic.webp How a stock win rate calculator works: 64% of 263 historically similar days closed higher five trading days later (median +1.7%), and why sample size decides how much weight a win rate carries https://tradeodds.io/learn/what-is-a-stock-base-rate 2026-07-16 monthly 0.7 https://tradeodds.io/images/og-what-is-a-stock-base-rate.png What Is a Stock Base Rate? Bayesian Thinking for Market Analysis https://tradeodds.io/images/what-is-a-stock-base-rate-infographic.webp What a stock base rate is: the percentage of historically similar trading days that were higher afterward — layering conditions updates the S&P 500 prior from 53% positive next day to 58% (312 matching days since 2005) and 61% (187 days with VIX above 25) https://tradeodds.io/learn/what-is-a-trading-edge 2026-07-16 monthly 0.7 https://tradeodds.io/images/og-what-is-a-trading-edge.png What Is a Trading Edge? The 385-Trade Math That Proves It https://tradeodds.io/images/what-is-a-trading-edge-infographic.webp What is a trading edge: the sample-size math — a 55% win rate needs about 385 trades to prove it isn't a coin flip, and expectancy (win rate times payoff) decides profitability, not win rate alone https://tradeodds.io/learn/what-is-walk-forward-validation 2026-07-16 monthly 0.7 https://tradeodds.io/images/og-what-is-walk-forward-validation.png What is Walk-Forward Validation? (Quant Backtesting Concept Explained) https://tradeodds.io/images/what-is-walk-forward-validation-infographic.webp Walk-forward validation compares in-sample and out-of-sample win rate: a strategy that holds (65% to 62%) has real edge, one that decays (70% to 55%) is questionable, and one that flips (70% to 45%) was overfit — an out-of-sample drop of about 15 points or more means discard, don't tweak and re-test. https://tradeodds.io/learn/why-pre-computed-factors-matter 2026-07-16 monthly 0.7 https://tradeodds.io/images/og-why-pre-computed-factors-matter.png Why Pre-Computed Factor Columns Matter (For Quantitative Backtesting) https://tradeodds.io/images/why-pre-computed-factors-matter-infographic.webp Why pre-computed factor columns matter: the same 16-condition scan across 3,200 symbols and 35 years runs in about 5 seconds with pre-computed, indexed columns versus 5–15 minutes computing every condition on the fly against raw OHLCV 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