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Risk Management

Risk management articles covering position sizing, stop placement, portfolio exposure and drawdown, for both manual and automated trading.

14 articles in this category.

7 min read

Market Data Quality: Avoid Stale Quotes & Bad Ticks

Understand market data quality risks like stale quotes, bad ticks, and missing bars. Learn how to mitigate these issues for more robust trading decisions.

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7 min read

Maximum Adverse Excursion: Stop Placement Without Hindsight

Master your trading by reviewing maximum adverse excursion (MAE) and optimizing stop placement. Learn data-driven analysis for better risk management.

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6 min read

Leveraged ETF Risk: Compounding & Holding Periods

Understand leveraged ETF risk: compounding, path dependence, and holding periods. Essential knowledge for intermediate traders.

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7 min read

Portfolio Drawdown Limit: Stop Risk Escalation

Master portfolio drawdown limits to control risk escalation. Learn essential rules for capital preservation and robust trading.

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6 min read

Volatility Sizing: Scale Risk, Not False Precision

Master volatility-based position sizing to scale risk effectively. Learn to calibrate risk units and navigate volatility estimation error for smarter...

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7 min read

Portfolio Correlation Risk: Beyond Ticker Count

Discover how ticker count can mask hidden concentration and portfolio correlation risk. Learn to identify and manage factor exposure overlap.

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6 min read

Limit Orders vs Market Orders: Trading Smart When Spread & Liquidity Matter

Learn when to use limit orders vs market orders to minimize slippage and maximize execution quality in volatile markets.

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6 min read

Earnings Gap Risk: How to Size Positions and Set Stops

Learn how traders manage earnings gap risk with precise position sizing, stop placement, and scenario planning. Actionable strategies inside.

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6 min read

Slippage in Trading: How Market Impact & Spread Costs Hurt Execution

Learn how slippage impacts trading execution quality, with actionable strategies to minimize market impact and spread costs.

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7 min read

Best AI for Stock Trading: Tools & Risk Management Tips

Discover the best AI for stock trading, how to use AI-powered analysis, and key risk management strategies for day traders.

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6 min read

Tradewink vs Robinhood: Best AI Trading Platforms 2026

Compare Tradewink and Robinhood for AI-powered trading. Discover the best AI stock picker and trading software for 2026.

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6 min read

Tradewink vs Robinhood vs TradeStation: AI Trading Bot Review

Compare Tradewink, Robinhood, and TradeStation for AI-powered trading. Discover the best AI stock picker and risk management strategies.

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5 min read

Best AI Trading Platforms: Risk Controls Compared

Compare AI trading platforms by automation, broker support, transparency, and risk controls before choosing a system for live trading.

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7 min read

Best AI for Day Trading: Tools & Risk Management Strategies

Discover the best AI for day trading and stock analysis, how to use AI for trading safely, and key risk management practices. Compare Tradewink vs.

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Frequently asked questions

How much should I risk per trade?

A common starting point is 0.5% to 2% of account equity per trade, with the lower end appropriate while you are still validating a strategy. What matters is that the number is fixed in advance and enforced automatically, because the trade you most want to oversize is usually the one you should not. Tradewink computes size from risk-based, ATR-based and half-Kelly methods and takes the most conservative of the three.

Where should I put my stop loss?

At the price that invalidates the reason you entered, not at a round dollar amount that feels tolerable. In practice that usually means beyond a structural level — under the swing low, outside a volatility band, past the opening range. Then size the position so that distance equals your fixed risk amount, rather than picking a size first and squeezing the stop to fit.

How do the current intraday margin rules work?

The old federal PDT designation and $25,000 minimum were replaced on June 4, 2026 by broker-administered intraday margin controls under amended FINRA Rule 4210. During the phase-in through October 20, 2027, broker-reported buying power, margin requirements, and account trading blocks remain authoritative. Tradewink does not add a separate round-trip quota.

Does an AI trading bot manage risk automatically?

It depends entirely on the product — several signal services have no risk layer at all. Tradewink runs risk checks before every paper order: per-position limits, daily loss limits, sector exclusions, a circuit breaker, and broker-reported intraday margin controls, all evaluated before the order reaches the simulator or paper account. A rejected trade is a working risk system, not a malfunction.

Is AI trading profitable?

Not inherently. AI improves consistency and coverage; it does not eliminate market risk, spreads, slippage or taxes. A strategy can win 60% of the time and still lose money if the average loss is larger than the average win, which is why expectancy and risk-reward matter more than win rate. Judge any service on resolved outcomes over a full cycle.

What is slippage and how much does it cost?

Slippage is the gap between the price you expected and the price you got, driven by spread, order size relative to available liquidity, and speed of the move. On liquid large caps it is often negligible; on thin names, at the open, or around news it can quietly exceed your entire expected edge. Tradewink models slippage and commission inside position sizing rather than treating fills as free.

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