Position sizing, drawdown control, portfolio risk budgets, and the specific rules I run to keep single trades from killing a whole account.
GE Vernova's trending rank signals attention, not edge. Realized volatility and sector regime do the actual work of sizing a GEV position safely.
IV rank, IV percentile, and 25-delta skew answer three different volatility questions. Together they drive trade structure, sell strangles, buy calls, or exit.
Beating the benchmark by 400bps feels good until attribution tells you it was all allocation luck on one sector call. Selection vs. allocation vs.
Regulated managers need an audit trail. The Audit Trail card on alphactor.ai records every trade, rebalance, alert, and note into one timestamped log you…
Conviction is self-reported; credibility is externally anchored. The two diverge exactly where mistakes live, an 8% position in a name you love with a…
Earnings risk is about the whole book into the week, not each position. When 40% of NAV reports in one week, and 60% of that is in a single sector, you're…
Factor exposures are bets whether or not you chose them. Decomposition surfaces unintentional tilts before a rotation exposes them as underperformance.
You bought US stocks in dollars, so you have no FX risk, right? Wrong. US large-cap multinationals earn 40-60% of revenue abroad.
Reporting is the tax on managing other people's money. A good LP report system takes a 12-hour manual job and turns it into a 90-minute review-and-polish…
Naive mean-variance overweights recent winners. Running MVO, risk parity, and Black-Litterman in parallel shows which allocation choices are robust vs. fragile.
Portfolios rebalanced on a schedule beat portfolios rebalanced 'when it feels right.' Feel-right under-rebalances winners, over-rebalances losers, and stops…
Implicit costs run 10-50 bps per trade; at 2x annual turnover that erodes 40-200 bps of alpha. Slippage breakdowns show which venue or size is responsible.
Half-Kelly gives about three-quarters of full Kelly growth while cutting drawdown by roughly 50%, making a theoretically optimal bet practically executable.
A practical position sizing approach built on simplified Kelly criterion, risk-per-trade limits, and portfolio-level allocation guardrails.
Practical position sizing, stop-loss strategies, correlation awareness, and drawdown limits for retail investors managing their own money.
How Alphactor's 8-layer credibility pipeline catches overfitting, data snooping, and curve-fitted strategies before they cost you money.
Position sizing errors kill more accounts than bad stock picks. Here are the five most common mistakes and how to avoid each one.
VaR is the most widely used risk metric in finance. It is also the most misunderstood. Here is what it actually means and where it fails.
Diversification fails exactly when you need it most. Here is why correlations spike during crises and how to build portfolios that survive it.
Survivorship bias silently inflates backtest returns and warps stock screener results. Here is how it works and what to do about it.
Revenge trading is the single fastest way to turn a manageable loss into a catastrophic one. Here is how it works and how to break the cycle.
Maximum drawdown reveals what your portfolio almost did to you. Here is why it matters more than the number everyone brags about.
A practical comparison of fixed, trailing, and volatility-based stop losses with real scenarios showing when each type works and fails.
A 30% drawdown requires a 43% gain to recover. The asymmetric math explained, with sizing rules to prevent one bad trade from permanently impairing the account.
How risk parity portfolios work, why they differ from traditional allocation, and how to apply the concept without a PhD in finance.
How to evaluate a company's debt load, when leverage creates value, when it destroys it, and the sector-specific thresholds that matter.
How Average True Range normalizes risk across stocks, sets intelligent stop losses, and determines position size based on volatility, not gut feeling.
Bollinger Band squeezes predict volatility expansions. Here is how to identify them, measure their intensity, and avoid the false breakouts.