Trading articles
Metrics, habits, bots and journaling — short, with formulas and examples. No signals and no promises of returns.
Behaviour and mistakes
behaviour · 5 minWhy traders lose money: 7 costly habitsSeven trading habits that quietly drain the account — revenge trading, holding losers, FOMO, overtrading and more: the sign of each in your journal and the rule that stops it.✓ cheat sheet · 7 points
behaviour · 3 minRevenge trading: how to recognise and stop itRevenge trading in numbers: a formal definition from your journal, why it costs more than any other habit, how to measure its price and the rules that actually stop it.✓ cheat sheet · 4 points
behaviour · 4 minTilt in trading: how to recognise it and get outWhat tilt in trading looks like in a journal, what triggers it, how to measure it by the share of rule breaks, how to find your tilt zones and the rules for getting out.✓ cheat sheet · 5 points
behaviour · 6 minFOMO in trading: how to stop chasing the priceWhy a FOMO entry ruins a trade's math, the hidden costs of chasing, how to find FOMO trades in your journal and the one rule that stops them.✓ cheat sheet · 4 points
behaviour · 5 minOvertrading: when there are too many tradesHow to measure overtrading by your median trades per day and spike days, why more trades don't mean more profit and how to set a daily trade limit you'll keep.✓ cheat sheet · 4 pointsMetrics
metrics · 5 minProfit factor: what it is and what value you needProfit factor in trading: the formula, how to read the values, why win rate doesn't replace it, how many trades you need and three ways to raise PF without changing your strategy.✓ cheat sheet · 5 points
metrics · 4 minWin rate: how much you need to make moneyWhat win rate you need to be profitable: the break-even formula, why 40% often beats 70%, losing streak probabilities and what to look at together with win rate.
metrics · 3 minMaximum drawdown: what it is and how to calculate itMaximum drawdown in trading: the formula, why it matters more than return, how much you need to recover, deposits and withdrawals, and a Monte Carlo what-if check.
metrics · 3 minExpectancy in trading: your system's key numberTrading expectancy: the formula with an example, why to measure it in R, how fees eat it and three ways to raise the average result per trade.
metrics · 3 minR and risk-to-reward: how to measure tradesWhat R is in trading, how to calculate the R-multiple, planned versus actual risk-to-reward, what a healthy R distribution looks like and when R doesn't work.✓ cheat sheet · 4 pointsRisk management
risk · 4 minHow much to risk per trade: risk management without mythsHow much to risk per trade: risk versus position size, the 1–2% rule and the arithmetic of losing streaks, daily limits and where risk gets broken most often.✓ cheat sheet · 5 points
risk · 5 minStop-loss: where to place it and why traders move itWhere to place a stop-loss so noise doesn't take it out: beyond the wick, not on the level, ATR as a measure, the price of moving the stop and stops with leverage.✓ cheat sheet · 6 pointsGrid bots
grid bots · 4 minGrid bot: why Grid Profit isn't your profitWhy a grid bot shows a green Grid Profit while the balance shrinks: open positions, fees and funding, how to calculate the real result and when the gap becomes dangerous.✓ cheat sheet · 4 points
grid bots · 4 minHow to choose a grid bot's range and stepHow to choose a grid bot's range from real volatility, set the number of grids and the step above fees, and what to do when the price leaves the range.✓ cheat sheet · 6 pointsFutures and costs
futures · 3 minFutures funding rate: what it is and what it costsWhat the funding rate on perpetual futures is, how the payment is calculated from the leveraged position, what it costs over a month and when funding matters most.✓ cheat sheet · 3 points
futures · 3 minExchange fees: how much they really takeHow exchange fees work: maker versus taker, the fee on leveraged futures, fees measured in R and where active traders can actually save.