Algorithmic Trading Research & Insights
Research-driven articles on trading systems, backtesting methodology, execution, market behavior, and the assumptions behind algorithmic strategies. Explore experiments, comparisons, and evidence designed to help you evaluate trading bots more critically.
October 10, 2026
Tokenized Stocks and Trading Bots: What Changes?
Tokenized stocks change market hours, liquidity, settlement and data. Learn what trading bots must model before backtesting or trading them.
October 9, 2026
How Much Python Do You Need to Build a Trading Bot?
Learn the minimum Python skills for data, APIs, risk checks, debugging and paper trading—with a practical readiness checklist.
October 8, 2026
Python 3.15 for Trading Bots: Should You Upgrade?
Python 3.15 is still a release candidate on October 8. Check package compatibility, lazy-import risks and trading behavior before upgrading your bot.
October 7, 2026
Can AI Write a Trading Strategy? What New Benchmarks Found
New 2026 benchmarks show why AI-written trading code can compile and backtest while silently misreading risk rules—and how to validate it.
October 6, 2026
How to Build a QuantConnect Trading Bot in Python
Build a QuantConnect trading bot in Python with runnable code, warm-up, sizing, slippage, drawdown controls and a backtest-to-live checklist.
October 5, 2026
Claude vs ChatGPT vs Gemini for Trading: What a Real-Money Test Found
Claude, ChatGPT and Gemini traded real money through three brokers. See why broker tools and trade cadence mattered more than the three-day leaderboard.
October 4, 2026
Prediction Market Trading Bots: How to Backtest Them Properly
Learn why probability charts are not enough, what realistic order-book replay must model, and what two 2026 benchmarks reveal about AI-built prediction-market bots.
October 3, 2026
Do AI Trading Bots Work? What a 2026 Live Test Found
See what a 2026 study found after moving 32 AI trading methods from backtests toward paper and real-money crypto trading.
October 2, 2026
QuantConnect Morningstar Migration: What Changes Before October 31
See how QuantConnect’s new Morningstar fundamentals can change backtests, universe selection and live signals—and what to test before October 31.
October 1, 2026
Robinhood AI Trading Agent: What It Can Do—and How to Test It Safely
Learn what Robinhood’s built-in AI trading agent can do, how approvals work and what the announced Loops are designed to do, and how to test automation before risking more capital.
September 30, 2026
Webull Cloud MCP: Can It Run an Automated Trading Bot?
Learn where Webull’s AI trade workflow still needs confirmation, how Cloud MCP differs from developer tools, and what that means for a trading bot.
September 29, 2026
Can Claude Trade Stocks? What Alpaca MCP Really Does
See what Alpaca MCP lets Claude do, how tool permissions affect a trading bot, and what to test before enabling live orders.
September 27, 2026
How Much Slippage Should You Use in a Backtest?
See how 0–20 bps of modeled slippage changed the same SPY strategy in QuantConnect, including its 2.69 bps break-even point.
September 26, 2026
Backtesting vs Paper Trading vs Live Trading
Compare backtesting, paper trading and live trading. Learn what each test reveals, why fills differ, and how to check a Python trading bot before deployment.