sharemarket.bot

A practical trading journal guide covering what to track, how to review trades, and how to turn notes into better stock trading decisions.

A practical guide to fixed, ATR, and structure-based stop losses, with review rules to keep your risk plan current.

A practical guide to position sizing trading, with a simple risk formula and a repeatable review process for changing market conditions.

A practical guide to CPI release dates, market reaction patterns, sector sensitivity, and a repeatable prep routine for traders.

A practical guide to Fed meeting dates, sector reactions, and the signals traders usually track before and after each FOMC decision.

A practical guide to trading earnings season with better risk control, cleaner setups, and a repeatable review process.

A practical framework for tracking the earnings calendar this week, building a watchlist, and trading high-volatility reports with discipline.

A practical guide to the most reliable stock indicators by trend, range, and volatility regime, plus when to update your framework.

A practical checklist for judging swing trading signals using trend, volume, context, and risk-reward before taking a trade.

A practical checklist for building a simple stock trading bot, from strategy and data selection to execution and risk rules.

A practical guide to how momentum, mean reversion, and breakout stock signals are built, filtered, and evaluated over time.

A practical comparison guide to choosing a broker API for automated stock trading based on execution, data, order support, and real-world use cases.

Paper trading helps test rules, but live trading exposes slippage, spreads, psychology, and execution gaps that can change results.

Learn how to backtest a stock trading strategy without overfitting, using practical validation steps that hold up better in live trading.

A practical comparison of trading bots and stock alerts, with clear guidance on which fits different trading styles and workflows.

A practical comparison of DCF, technical analysis, and quant signals for building better stock price forecasts and updating them over time.

A practical guide to finding relative strength stocks, confirming leadership, and refreshing your watchlist as market leaders change.

A repeatable guide to finding strong support and resistance levels in stocks and using them for better trade planning.

A practical comparison of stock screeners for day traders and swing traders, with clear criteria for speed, filters, alerts, and automation.

A reusable morning checklist for reading stock market conditions, key indicators, catalysts, and risk before the open.