Learn

Source-quality explanations of AI trading agents, the pet+trading category we're building, and the discipline that keeps beginners safe — across stocks, crypto, futures, and prediction markets. Written to be useful whether or not you use TraderBear.

Start here

• AI trading agent, explained
  What an AI trading agent actually does across asset classes, and what makes one safe enough to use.
• The pet trading agent — why your bear grows with you
  Why a persistent identity changes user behavior in measurable ways, and what makes pet+trading a category.

Discipline and safety

• A beginner's safe path into AI-assisted trading
  The 8-week paper program and the graduation checklist.
• Paper trading with AI — what it proves, what it doesn't
  Three things paper sessions prove, two things they hide, and the rules for graduating to live.
• Natural-language trading bot — how plain English becomes safe rules
  The two-layer pattern that keeps LLMs far from execution, and the red flags.

Asset-class deep dives

• AI trading across asset classes
  What changes between stocks, crypto, futures, and event markets — and what stays the same.
• AI agent for prediction markets, in depth
  The specifics of operating an agent on Kalshi and Polymarket — binary payoffs, structural edge, mispricing detection.

Liquidity providing & impermanent loss

• Raydium impermanent loss — CPMM vs CLMM pools
  How Raydium's standard constant-product and concentrated pools lose value to price moves differently, with the formula and a worked table.
• Orca impermanent loss (divergence loss) in Whirlpools
  Why Orca calls it divergence loss, a worked SOL/USDC example, and the narrow-vs-wide range trade-off.
• How to reduce impermanent loss — five approaches, compared
  Stable pairs, correlated pairs, fee income, range width, and time horizon — the real levers and the trade-off each one hides.
• Solana impermanent loss across Raydium, Orca & Meteora
  How the same IL formula plays out differently across Solana's three major AMMs — full-curve, concentrated ranges, and DLMM bins.
• Uniswap V2 vs V3 impermanent loss
  Why concentrated liquidity amplifies IL, what happens out of range, and a side-by-side comparison.
• Impermanent loss vs divergence loss
  Two names, one phenomenon — why "divergence loss" is the more accurate term and when the loss stops being impermanent.

Forecasting skill

• How to practice forecasting
  Brier scores, calibration, and why the market price — not the outcome — is the benchmark that matters. Includes free ways to train, including BearScout (private beta).
• Ways to practice forecasting, compared
  Metaculus vs Good Judgment Open vs BearScout vs paper trading vs a spreadsheet — an honest comparison of what each trains.
• Brier score & calibration calculator
  Paste your forecasts and outcomes; get your mean Brier score and calibration buckets. Free, browser-only.

Free tools

• Bear Toolbox — impermanent loss calculator & LP simulator
  Live Solana pool inspector, the constant-product IL formula, and a 5,000-path Monte-Carlo simulator with Sharpe, LP-vs-HODL excess return, and net APR. Free, browser-only, no wallet connect.
• Brier score & calibration calculator
  Your forecasting scorecard: mean Brier score and calibration buckets from your own forecast log.