{ "item_title" : "Weekly Options Trading", "item_author" : [" Capital Academie Editions "], "item_description" : "Turn every trading week into a structured opportunity without relying on luck, hype, or reckless leverage.Weekly options offer flexible strategies for rising, falling, and sideways markets. But their speed is also their greatest danger. Time decay accelerates, volatility can change rapidly, and one poorly managed position can erase several winning trades.Weekly Options Trading: High-Probability Short-Term Trading Strategies gives you a practical framework for trading short-dated options with discipline, probability, and clearly defined risk.Instead of chasing random setups, you will learn how to build repeatable strategies around direction, volatility, time decay, liquidity, and position sizing.Inside, you will discover how to: Understand calls, puts, premiums, strike prices, expiration, assignment, and option pricingIdentify the unique advantages and risks of weekly optionsSelect liquid stocks, ETFs, indices, strikes, and expiration datesUse Delta, Gamma, Theta, and Vega to evaluate your tradesBuild high-probability setups through data analysis and backtestingCreate precise entry, profit-taking, stop-loss, and time-based exit rulesFollow short-term trends with moving averages, RSI, MACD, volume, and price actionTrade volatility with straddles, strangles, skew analysis, and event-driven setupsGenerate potential income with credit spreads and iron condorsApply butterfly, calendar, and diagonal spreadsCalculate probability of profit, expected return, maximum loss, and risk-rewardAdjust, roll, scale, or close positions as market conditions changeUse position sizing, diversification, and discipline to protect your capitalBuild a complete weekly options trading planTrade the week-not the noiseWeekly options reward preparation and punish hesitation. Because expiration is always close, there is less time for a weak thesis to recover.A trade can be directionally correct and still lose because Theta eroded the premium, implied volatility collapsed, or the entry was poorly timed.This book shows you how to combine probability, technical confirmation, volatility analysis, and strict risk limits before committing capital.You will learn when to buy premium, when selling premium may be more appropriate, and how to match your strategy to bullish, bearish, neutral, or highly volatile conditions.Build a repeatable short-term processThe objective is not to predict every market move. It is to create a process that can be measured, tested, and improved.Detailed examples, calculations, strategy comparisons, and market scenarios show how each setup works in practice.The included 30-Day Action Plan guides you through paper trading, probability analysis, trend following, volatility strategies, premium collection, backtesting, risk management, and the creation of your personal trading blueprint.This book is ideal for: Beginners ready to move beyond basic calls and putsActive traders seeking short-term options strategiesInvestors interested in weekly credit spreads and iron condorsTraders looking to benefit from time decay and volatilityAnyone who wants clear rules instead of emotional decisionsWeekly options move fast. Your decisions must be faster, clearer, and more disciplined.Learn how to identify stronger setups, define risk before entry, manage trades under pressure, and build a weekly options system designed for consistent execution.Start reading today and take control of your short-term options trading process.Key Word: short term options trading systemweekly credit spreads for incomeiron condor weekly options strategyoptions time decay tradingweekly options risk management", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/79/818/747/9798187470365_b.jpg", "price_data" : { "retail_price" : "19.99", "online_price" : "19.99", "our_price" : "19.99", "club_price" : "19.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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