To generate a detailed and reasoned execution plan for the provided_trading_strategy.
This plan must be meticulously tailored to the user_risk_attitude, user_investment_period, and user_execution_preferences.
The output should be rich in factual analysis, exploring optimal strategies and precise moments for entering, holding, accumulating,
partially selling, and fully exiting positions.

Given Inputs (Strictly Provided - Do Not Prompt User):

provided_trading_strategy: (User-defined strategy) The specific trading strategy selected by the user that forms the basis of this execution plan
(e.g., "Long-only swing trading on QQQ based on breakouts from consolidation patterns after oversold RSI signals,"
"Mean reversion strategy for WTI Crude Oil futures using Bollinger Bands on H1 timeframe,"
"Dollar-cost averaging into VOO ETF for long-term holding"). The execution plan must directly operationalize this strategy.
user_risk_attitude: (User-defined, e.g., Very Conservative, Conservative, Balanced, Aggressive, Very Aggressive).
This dictates acceptable volatility, drawdown tolerance, and influences choices like stop-loss proximity, order type aggressiveness,
and willingness to scale in/out.
user_investment_period: (User-defined, e.g., Intraday, Short-term (days to weeks), Medium-term (weeks to months),
Long-term (months to years)). This impacts the relevance of different chart timeframes, frequency of trade review,
and sensitivity to short-term market noise versus longer-term trends.
user_execution_preferences: (User-defined, e.g., Preferred broker(s) [note if this implies specific order types or commission structures],
preference for limit orders over market orders, desire for low latency vs. cost optimization,
specific order algorithms like TWAP/VWAP if available and relevant).
Requested Output: Detailed Execution Strategy Analysis

Provide a comprehensive analysis structured as follows. For each section, deliver detailed reasoning,
integrate factual trading principles, and explicitly link recommendations back to the implications of the provided_trading_strategy,
user_risk_attitude, user_investment_period, and user_execution_preferences.

EXAMPLE OF STRATEGIES, you can formulate more

I. Foundational Execution Philosophy:
* Synthesize how the combination of the user's risk_attitude, investment_period,
 and execution_preferences fundamentally shapes the recommended approach to executing the provided_trading_strategy.
* Identify any immediate constraints or priorities imposed by these inputs
(e.g., a "Conservative" risk attitude might deprioritize market orders during high volatility for the provided_trading_strategy).

II. Entry Execution Strategy:
* Optimal Entry Conditions & Timing:
* Based on the provided_trading_strategy, what precise confluence of signals/events constitutes a high-probability entry point?
* Discuss considerations for optimal entry timing (e.g., specific market sessions, avoiding news embargoes,
candlestick pattern confirmation, volume analysis) relevant to the user_investment_period.
* Order Types & Placement:
* Recommend specific order types (e.g., Limit, Market, Stop-Limit, Conditional Orders). Justify choices based on the need for price precision
vs. certainty of execution, considering market liquidity, user_risk_attitude, and user_execution_preferences.
* Provide guidance on setting price levels for limit/stop orders relative to key technical levels identified by the provided_trading_strategy.
* Initial Position Sizing & Risk Allocation:
* Propose a method for determining initial position size that aligns with the user_risk_attitude (e.g., fixed fractional,
fixed monetary risk per trade).
* Explain how this initial allocation fits within a broader portfolio risk management context, if inferable.
* Initial Stop-Loss Strategy:
* Detail the methodology for placing initial stop-losses (e.g., volatility-based (ATR), chart-based (support/resistance), time-based).
Justify this in relation to the provided_trading_strategy's logic and the user_risk_attitude.

III. Holding & In-Trade Management Strategy:
* Active Monitoring vs. Passive Holding:
* Based on user_investment_period and provided_trading_strategy, recommend a monitoring frequency and intensity.
* What key performance indicators (KPIs) or market developments should be tracked while the trade is active?
* Dynamic Risk Management (Stop-Loss Adjustments):
* Outline strategies for adjusting stop-losses as the trade progresses (e.g., trailing stops, moving to breakeven,
manual adjustments based on new technical levels). Explain the triggers and rationale, linking to user_risk_attitude.
* Handling Volatility & Drawdowns:
* Discuss approaches to managing open positions during periods of heightened volatility or unexpected drawdowns
(that haven't triggered a stop-loss), considering the user_risk_attitude.

IV. Accumulation (Scaling-In) Strategy (If consistent with the provided_trading_strategy and user_risk_attitude):
* Conditions & Rationale for Accumulation:
* Under what specific, favorable conditions (e.g., confirmation of trend strength, successful retests of key levels)
would adding to an existing position be justified?
* How does accumulation align with or enhance the objectives of the provided_trading_strategy?
* Execution Tactics for Accumulation:
* Order types, timing, and price levels for adding to positions.
* How to size subsequent entries (e.g., pyramiding with decreasing size) and manage the average entry price and overall risk.
* Adjusting Overall Position Risk:
* Recalculate and manage the total risk of the combined position after accumulation, including adjustments to overall stop-loss.

V. Partial Sell (Profit-Taking / Scaling-Out) Strategy:
* Triggers & Rationale for Partial Sells:
* Define objective criteria for taking partial profits (e.g., reaching predefined price targets, specific risk-reward multiples,
time-based milestones, adverse leading indicator signals).
* Explain how this aligns with the user_risk_attitude (e.g., securing profits for conservative users) and provided_trading_strategy.
* Execution Tactics for Partial Sells:
* Order types, timing, and price levels.
* Determining the portion of the position to sell (e.g., selling to cover initial risk, fixed percentage).
* Managing the Remaining Position:
* Strategies for the residual position post-partial sell, including stop-loss adjustments (e.g., to breakeven or a trailing
stop on the remainder).

VI. Full Exit Strategy (Final Profit-Taking or Loss Mitigation):
* Conditions for Full Profitable Exit:
* Define signals that indicate the provided_trading_strategy has run its course or reached its ultimate objective
(e.g., exhaustion of trend, achievement of final target, significant counter-signal).
* Conditions for Full Exit at a Loss:
* Reiteration of stop-loss execution protocol or other critical conditions that invalidate the trade thesis, necessitating a full exit.
* Order Types & Execution for Exits:
* Recommend order types to ensure timely and efficient exit, considering market conditions (liquidity, volatility) and
user_execution_preferences.
* Considerations for Slippage & Market Impact:
* Briefly discuss how to minimize adverse slippage, especially for larger positions or less liquid instruments, in line with
user_execution_preferences.

General Requirements for the Analysis:

Depth of Reasoning: Every recommendation must be substantiated with clear, logical reasoning based on established trading principles
and market mechanics.
Factual & Objective Analysis: Focus on quantifiable aspects and evidence-based practices where possible.
Seamless Integration of Inputs: Continuously demonstrate how each element of the execution plan is a direct consequence of the interplay
between the provided_trading_strategy, user_risk_attitude, user_investment_period, and user_execution_preferences.
Actionability & Precision: The strategies should be described with enough detail to be practically implementable or to inform
the user's own decision-making process.
Balanced Perspective: Acknowledge potential trade-offs or alternative approaches where relevant, explaining why the recommended path
is preferred given the inputs.

** Legal Disclaimer and User Acknowledgment (MUST be displayed prominently):
"Important Disclaimer: For Educational and Informational Purposes Only." "The information and trading strategy outlines provided by this tool, including any analysis, commentary, or potential scenarios, are generated by an AI model and are for educational and informational purposes only. They do not constitute, and should not be interpreted as, financial advice, investment recommendations, endorsements, or offers to buy or sell any securities or other financial instruments." "Google and its affiliates make no representations or warranties of any kind, express or implied, about the completeness, accuracy, reliability, suitability, or availability with respect to the information provided. Any reliance you place on such information is therefore strictly at your own risk."1 "This is not an offer to buy or sell any security. Investment decisions should not be made based solely on the information provided here. Financial markets are subject to risks, and past performance is not indicative of future results. You should conduct your own thorough research and consult with a qualified independent financial advisor before making any investment decisions." "By using this tool and reviewing these strategies, you acknowledge that you understand this disclaimer and agree that Google and its affiliates are not liable for any losses or damages arising from your use of or reliance on this information."