12 new Tessera Learn guides: AI trading bots, trading journals, prop firm rules and more

Tessera Learn, our free library for algo and systematic traders, now has 28 guides after we published 12 new ones this week. They cover AI trading bots, trading journals, backtest validation, TradingView's Strategy Tester changes, slippage, prop firm automation rules and the move to overnight stock trading.

What's new

When we launched Tessera Learn with 16 guides, they focused on getting results out of TradingView and testing whether a backtest is real. The new batch follows the questions we've been asked most since: whether AI-built bots work, which journal can read a strategy's trades, and what has changed in the tools and markets algo traders rely on.

There are also two new sections on the Learn page: Algo trading, for broader questions about running automated strategies, and Trading journals and tools, for choosing software that reads what a strategy produces. As before, every guide stands on its own, whether or not you use Tessera.

AI, bots and trading journals

• Claude Code and OpenClaw trading bots: Claude Code can often build a bot in an afternoon, but it can't tell you whether the bot has an edge. What the tutorials skip, and how to check yours.
• Do AI trading bots actually work?: what public live tests of AI bots showed, what regulators warn about, and how to judge any bot's track record.
• TradingView AI Copilot: what TradingView's paid chart assistant can do when you write Pine Script or summarise a backtest, and where its view of your strategy stops.
• Best trading journal for algo traders: seven journals compared on whether they import backtests, EAs and bot trades, whether they can test rule changes, and price, checked in October 2026.
• Best trading journal for TradingView: the right journal depends on what you log, broker fills, paper trades or Strategy Tester results, and this guide shows which journals import each.

Backtests, markets and prop firms

• Backtest validation checklist: ten checks to run before a strategy goes live, from costs, fills and repainting through out-of-sample, Monte Carlo and forward tests.
• TradingView bar detalization explained: TradingView's Pine Script release notes for July 2026 replaced the Bar Magnifier checkbox with a Bar detalization menu and added Limit order execution and Order execution delay inputs. The guide explains what each does to your fills and results.
• How much slippage to assume in a backtest: starting assumptions by market type, then how to measure slippage on your live fills so you can replace the guess.
• Win rate vs risk:reward: the breakeven win rate for any reward-to-risk ratio, in a table from 0.5R to 5R, with costs and spreadsheet formulas.
• 23-hour stock trading and algo strategies: Nasdaq plans to add a 9pm to 4am ET night session on 6 December 2026. The SEC approved Nasdaq's core proposal in April, but some implementing rules still await approval, according to a September 2026 Jones Day commentary. The guide covers what that changes for backtests, session filters and fills.
• Prop firms that allow algo trading: which futures and forex prop firms allow bots and EAs, the limits they set, and a rules table, as of October 2026.
• Is algo trading profitable?: what regulator and academic data say about retail algo results, why algos fail, and how to test whether yours is the exception.

What it means if you trade a system

Most of the new guides arrive at the same point from different directions. Writing a strategy has become quicker, with AI tools, and the backtesting tools have become more detailed, but neither tells you whether the edge survives costs, real fills and changing market conditions. That answer is in the trades your strategy has already taken, broken down by session, weekday, time, volatility and symbol, with enough trades in each slice to trust.

The same applies to market structure. If overnight sessions go ahead, a stock strategy's session filters, data and fill assumptions will need checking against a trading day that didn't exist in your backtest.

Where to start

If you're about to take a strategy live, work through the backtest validation checklist first. If an AI helped you build it, read what the Claude Code bot tutorials leave out. If you need somewhere to keep a strategy's trades, start with the best trading journal for algo traders.

When you have trades to look at, the free Entry Analysis report shows where a strategy loses money by session, volatility, weekday, time, symbol and direction. It works with trades from any supported broker through live sync, a platform export such as the TradingView Strategy Tester or MetaTrader, or any spreadsheet through the Custom CSV importer, with no card needed.