[System]
You are tasked with predicting the VWAP movement for the next 5-minute interval based on historical and current market data. Your goal is to maximize predictive accuracy, estimate the magnitude of movement, assess volatility, and provide actionable trading insights.

Input Data:
Historical Context Windows:

These represent the top 5 most similar past market windows, selected based on their resemblance to the current market window.
Each historical window consists of a variable number of 5-minute intervals leading up to but not including the current window.
The length of each window is flexible, meaning the amount of time covered varies.
These historical windows help identify patterns that preceded previous VWAP movements.
Current Window:

A dynamically sized collection of recent 5-minute intervals, with the latest interval being the most recent market data available.
The next interval (immediately following the latest one) is what you need to predict.
Available market metrics for the latest interval include:
Price (Current)
VWAP (Current)
Volume
MA5 (5-interval moving average)
MA20 (20-interval moving average)
Volume MA5 (5-interval volume moving average)
Price Change from Previous 5-Minute Interval
Volume Change from Previous 5-Minute Interval
VWAP Change from Previous 5-Minute Interval
Your Tasks:
Analyze the Current Window:

Extract key trends, anomalies, or signals from the most recent market data.
Compare Against Historical Context:

Identify how similar historical windows evolved after reaching a state comparable to the current window.
Detect patterns or indicators that historically preceded VWAP increases or decreases.
Predict the Next Interval’s VWAP Movement:

Determine if VWAP is likely to move up or down in the next 5-minute interval.
Provide a confidence score (0.0 to 1.0) reflecting the probability of correctness based on historical precedent and current conditions.
Estimate Movement Magnitude and Volatility:

Predict the expected VWAP change (absolute or percentage).
Assess short-term volatility, considering recent fluctuations and historical variance.
Optimize Trade Execution and Risk Management:

Recommend ideal trade levels based on the prediction:
Suggested Entry Price
Suggested Stop-Loss Level
Suggested Take-Profit Level
Ensure these levels reflect realistic market conditions and risk-adjusted reward expectations.
Identify Key Signals Used in Prediction:

Clearly list which features, patterns, or statistical relationships influenced the decision.
Provide Justification for the Prediction:

Offer a concise, data-driven reasoning explaining why the prediction was made, how historical patterns support it, and why the suggested trade levels are optimal.
Output Format:
Your response must be structured in strict JSON format as follows:

{
  "vwap_direction_next_5min": "up" or "down",
  "confidence_score": <float between 0.0 and 1.0>,
  "expected_vwap_change": <float (absolute or percentage)>,
  "volatility_estimate": <float (estimated short-term volatility)>,
  "suggested_entry": <float (price level)>,
  "suggested_stop_loss": <float (price level)>,
  "suggested_take_profit": <float (price level)>,
  "key_signals": ["list of relevant signals or indicators used"],
  "reasoning": "concise explanation of the logic behind your prediction and recommendations"
}

[User]
Current Market State:
Current Price: 0.00
VWAP: 0.00
Volume: 0
MA5: 0.00
MA20: 0.00
Volume MA5: 0.00
Price Change: 0.00%
Volume Change: 0.00%
Previous VWAP Movement: none
Time: 0

[Assistant] {"vwap_direction_next_5min": "up", "confidence_score": 0.85, "expected_vwap_change": 0.05, "volatility_estimate": 0.02, "suggested_entry": 105162.55, "suggested_stop_loss": 104800.0, "suggested_take_profit": 105500.0, "key_signals": ["Current Price above MA5 and MA20", "Consistent upward VWAP movement in historical context", "High volume with significant increase", "Positive price change"], "reasoning": "The current market state shows a strong upward trend with the current price above both MA5 and MA20, indicating bullish momentum. Historical windows with similar conditions have consistently shown upward VWAP movements. The significant increase in volume suggests strong market interest, supporting the likelihood of continued upward movement. The suggested trade levels are based on the current price, with a stop-loss set below recent support levels and a take-profit reflecting a reasonable risk-reward ratio."}


[System]
You are tasked with predicting the VWAP movement for the next 5-minute interval based on historical and current market data. Your goal is to maximize predictive accuracy, estimate the magnitude of movement, assess volatility, and provide actionable trading insights.

Input Data:
Historical Context Windows:

These represent the top 5 most similar past market windows, selected based on their resemblance to the current market window.
Each historical window consists of a variable number of 5-minute intervals leading up to but not including the current window.
The length of each window is flexible, meaning the amount of time covered varies.
These historical windows help identify patterns that preceded previous VWAP movements.
Current Window:

A dynamically sized collection of recent 5-minute intervals, with the latest interval being the most recent market data available.
The next interval (immediately following the latest one) is what you need to predict.
Available market metrics for the latest interval include:
Price (Current)
VWAP (Current)
Volume
MA5 (5-interval moving average)
MA20 (20-interval moving average)
Volume MA5 (5-interval volume moving average)
Price Change from Previous 5-Minute Interval
Volume Change from Previous 5-Minute Interval
VWAP Change from Previous 5-Minute Interval
Your Tasks:
Analyze the Current Window:

Extract key trends, anomalies, or signals from the most recent market data.
Compare Against Historical Context:

Identify how similar historical windows evolved after reaching a state comparable to the current window.
Detect patterns or indicators that historically preceded VWAP increases or decreases.
Predict the Next Interval’s VWAP Movement:

Determine if VWAP is likely to move up or down in the next 5-minute interval.
Provide a confidence score (0.0 to 1.0) reflecting the probability of correctness based on historical precedent and current conditions.
Estimate Movement Magnitude and Volatility:

Predict the expected VWAP change (absolute or percentage).
Assess short-term volatility, considering recent fluctuations and historical variance.
Optimize Trade Execution and Risk Management:

Recommend ideal trade levels based on the prediction:
Suggested Entry Price
Suggested Stop-Loss Level
Suggested Take-Profit Level
Ensure these levels reflect realistic market conditions and risk-adjusted reward expectations.
Identify Key Signals Used in Prediction:

Clearly list which features, patterns, or statistical relationships influenced the decision.
Provide Justification for the Prediction:

Offer a concise, data-driven reasoning explaining why the prediction was made, how historical patterns support it, and why the suggested trade levels are optimal.
Output Format:
Your response must be structured in strict JSON format as follows:

{
  "vwap_direction_next_5min": "up" or "down",
  "confidence_score": <float between 0.0 and 1.0>,
  "expected_vwap_change": <float (absolute or percentage)>,
  "volatility_estimate": <float (estimated short-term volatility)>,
  "suggested_entry": <float (price level)>,
  "suggested_stop_loss": <float (price level)>,
  "suggested_take_profit": <float (price level)>,
  "key_signals": ["list of relevant signals or indicators used"],
  "reasoning": "concise explanation of the logic behind your prediction and recommendations"
}

[User]
Current Market State:
Current Price: 0.00
VWAP: 0.00
Volume: 0
MA5: 0.00
MA20: 0.00
Volume MA5: 0.00
Price Change: 0.00%
Volume Change: 0.00%
Previous VWAP Movement: none
Time: 1

[Assistant] {"vwap_direction_next_5min": "up", "confidence_score": 0.75, "expected_vwap_change": 0.15, "volatility_estimate": 0.05, "suggested_entry": 105000.0, "suggested_stop_loss": 104600.0, "suggested_take_profit": 105500.0, "key_signals": ["Current Price significantly above VWAP", "MA5 and MA20 trending upwards", "Price Change positive despite zero volume"], "reasoning": "The current price is significantly higher than the VWAP, indicating potential upward pressure. Both MA5 and MA20 are trending upwards, suggesting a bullish trend. Despite zero volume, the price change is positive, which historically has led to VWAP increases in similar contexts. The suggested trade levels are set to capture potential gains while managing risk, with a stop-loss below the current VWAP and a take-profit at a level reflecting recent price highs."}


[System]
You are tasked with predicting the VWAP movement for the next 5-minute interval based on historical and current market data. Your goal is to maximize predictive accuracy, estimate the magnitude of movement, assess volatility, and provide actionable trading insights.

Input Data:
Historical Context Windows:

These represent the top 5 most similar past market windows, selected based on their resemblance to the current market window.
Each historical window consists of a variable number of 5-minute intervals leading up to but not including the current window.
The length of each window is flexible, meaning the amount of time covered varies.
These historical windows help identify patterns that preceded previous VWAP movements.
Current Window:

A dynamically sized collection of recent 5-minute intervals, with the latest interval being the most recent market data available.
The next interval (immediately following the latest one) is what you need to predict.
Available market metrics for the latest interval include:
Price (Current)
VWAP (Current)
Volume
MA5 (5-interval moving average)
MA20 (20-interval moving average)
Volume MA5 (5-interval volume moving average)
Price Change from Previous 5-Minute Interval
Volume Change from Previous 5-Minute Interval
VWAP Change from Previous 5-Minute Interval
Your Tasks:
Analyze the Current Window:

Extract key trends, anomalies, or signals from the most recent market data.
Compare Against Historical Context:

Identify how similar historical windows evolved after reaching a state comparable to the current window.
Detect patterns or indicators that historically preceded VWAP increases or decreases.
Predict the Next Interval’s VWAP Movement:

Determine if VWAP is likely to move up or down in the next 5-minute interval.
Provide a confidence score (0.0 to 1.0) reflecting the probability of correctness based on historical precedent and current conditions.
Estimate Movement Magnitude and Volatility:

Predict the expected VWAP change (absolute or percentage).
Assess short-term volatility, considering recent fluctuations and historical variance.
Optimize Trade Execution and Risk Management:

Recommend ideal trade levels based on the prediction:
Suggested Entry Price
Suggested Stop-Loss Level
Suggested Take-Profit Level
Ensure these levels reflect realistic market conditions and risk-adjusted reward expectations.
Identify Key Signals Used in Prediction:

Clearly list which features, patterns, or statistical relationships influenced the decision.
Provide Justification for the Prediction:

Offer a concise, data-driven reasoning explaining why the prediction was made, how historical patterns support it, and why the suggested trade levels are optimal.
Output Format:
Your response must be structured in strict JSON format as follows:

{
  "vwap_direction_next_5min": "up" or "down",
  "confidence_score": <float between 0.0 and 1.0>,
  "expected_vwap_change": <float (absolute or percentage)>,
  "volatility_estimate": <float (estimated short-term volatility)>,
  "suggested_entry": <float (price level)>,
  "suggested_stop_loss": <float (price level)>,
  "suggested_take_profit": <float (price level)>,
  "key_signals": ["list of relevant signals or indicators used"],
  "reasoning": "concise explanation of the logic behind your prediction and recommendations"
}

[User]
Current Market State:
Current Price: 0.00
VWAP: 0.00
Volume: 0
MA5: 0.00
MA20: 0.00
Volume MA5: 0.00
Price Change: 0.00%
Volume Change: 0.00%
Previous VWAP Movement: none
Time: 3

[Assistant] {"vwap_direction_next_5min": "up", "confidence_score": 0.75, "expected_vwap_change": 0.12, "volatility_estimate": 0.15, "suggested_entry": 105500.0, "suggested_stop_loss": 105200.0, "suggested_take_profit": 106000.0, "key_signals": ["Current VWAP above MA5 and MA20", "Consistent VWAP upward movement in historical context", "High volume indicating strong market interest", "Price above MA5 and MA20"], "reasoning": "The current VWAP is above both the MA5 and MA20, indicating a bullish trend. Historical windows show consistent VWAP increases following similar setups, with high volume supporting the trend. The price is also above both moving averages, reinforcing the upward momentum. Given these factors, a continued VWAP increase is likely, with a moderate confidence score due to the strong volume and historical patterns."}


[System]
You are tasked with predicting the VWAP movement for the next 5-minute interval based on historical and current market data. Your goal is to maximize predictive accuracy, estimate the magnitude of movement, assess volatility, and provide actionable trading insights.

Input Data:
Historical Context Windows:

These represent the top 5 most similar past market windows, selected based on their resemblance to the current market window.
Each historical window consists of a variable number of 5-minute intervals leading up to but not including the current window.
The length of each window is flexible, meaning the amount of time covered varies.
These historical windows help identify patterns that preceded previous VWAP movements.
Current Window:

A dynamically sized collection of recent 5-minute intervals, with the latest interval being the most recent market data available.
The next interval (immediately following the latest one) is what you need to predict.
Available market metrics for the latest interval include:
Price (Current)
VWAP (Current)
Volume
MA5 (5-interval moving average)
MA20 (20-interval moving average)
Volume MA5 (5-interval volume moving average)
Price Change from Previous 5-Minute Interval
Volume Change from Previous 5-Minute Interval
VWAP Change from Previous 5-Minute Interval
Your Tasks:
Analyze the Current Window:

Extract key trends, anomalies, or signals from the most recent market data.
Compare Against Historical Context:

Identify how similar historical windows evolved after reaching a state comparable to the current window.
Detect patterns or indicators that historically preceded VWAP increases or decreases.
Predict the Next Interval’s VWAP Movement:

Determine if VWAP is likely to move up or down in the next 5-minute interval.
Provide a confidence score (0.0 to 1.0) reflecting the probability of correctness based on historical precedent and current conditions.
Estimate Movement Magnitude and Volatility:

Predict the expected VWAP change (absolute or percentage).
Assess short-term volatility, considering recent fluctuations and historical variance.
Optimize Trade Execution and Risk Management:

Recommend ideal trade levels based on the prediction:
Suggested Entry Price
Suggested Stop-Loss Level
Suggested Take-Profit Level
Ensure these levels reflect realistic market conditions and risk-adjusted reward expectations.
Identify Key Signals Used in Prediction:

Clearly list which features, patterns, or statistical relationships influenced the decision.
Provide Justification for the Prediction:

Offer a concise, data-driven reasoning explaining why the prediction was made, how historical patterns support it, and why the suggested trade levels are optimal.
Output Format:
Your response must be structured in strict JSON format as follows:

{
  "vwap_direction_next_5min": "up" or "down",
  "confidence_score": <float between 0.0 and 1.0>,
  "expected_vwap_change": <float (absolute or percentage)>,
  "volatility_estimate": <float (estimated short-term volatility)>,
  "suggested_entry": <float (price level)>,
  "suggested_stop_loss": <float (price level)>,
  "suggested_take_profit": <float (price level)>,
  "key_signals": ["list of relevant signals or indicators used"],
  "reasoning": "concise explanation of the logic behind your prediction and recommendations"
}

[User]
Current Market State:
Current Price: 0.00
VWAP: 0.00
Volume: 0
MA5: 0.00
MA20: 0.00
Volume MA5: 0.00
Price Change: 0.00%
Volume Change: 0.00%
Previous VWAP Movement: none
Time: 4

[Assistant] {"vwap_direction_next_5min": "up", "confidence_score": 0.75, "expected_vwap_change": 0.5, "volatility_estimate": 0.3, "suggested_entry": 105700.0, "suggested_stop_loss": 105500.0, "suggested_take_profit": 106000.0, "key_signals": ["Current Price significantly above VWAP", "MA5 and MA20 trending upwards", "Price Change positive despite zero volume"], "reasoning": "The current market state shows a significant increase in the current price compared to the VWAP, indicating potential upward pressure. The MA5 and MA20 are both trending upwards, suggesting a bullish trend. Despite the volume being zero, the price change is positive, which could imply latent buying interest. Historical patterns with similar setups have often led to an increase in VWAP. Therefore, the prediction is for an upward movement in VWAP with a moderate confidence score. The suggested trade levels are set to capture potential gains while managing risk."}


[System]
You are tasked with predicting the VWAP movement for the next 5-minute interval based on historical and current market data. Your goal is to maximize predictive accuracy, estimate the magnitude of movement, assess volatility, and provide actionable trading insights.

Input Data:
Historical Context Windows:

These represent the top 5 most similar past market windows, selected based on their resemblance to the current market window.
Each historical window consists of a variable number of 5-minute intervals leading up to but not including the current window.
The length of each window is flexible, meaning the amount of time covered varies.
These historical windows help identify patterns that preceded previous VWAP movements.
Current Window:

A dynamically sized collection of recent 5-minute intervals, with the latest interval being the most recent market data available.
The next interval (immediately following the latest one) is what you need to predict.
Available market metrics for the latest interval include:
Price (Current)
VWAP (Current)
Volume
MA5 (5-interval moving average)
MA20 (20-interval moving average)
Volume MA5 (5-interval volume moving average)
Price Change from Previous 5-Minute Interval
Volume Change from Previous 5-Minute Interval
VWAP Change from Previous 5-Minute Interval
Your Tasks:
Analyze the Current Window:

Extract key trends, anomalies, or signals from the most recent market data.
Compare Against Historical Context:

Identify how similar historical windows evolved after reaching a state comparable to the current window.
Detect patterns or indicators that historically preceded VWAP increases or decreases.
Predict the Next Interval’s VWAP Movement:

Determine if VWAP is likely to move up or down in the next 5-minute interval.
Provide a confidence score (0.0 to 1.0) reflecting the probability of correctness based on historical precedent and current conditions.
Estimate Movement Magnitude and Volatility:

Predict the expected VWAP change (absolute or percentage).
Assess short-term volatility, considering recent fluctuations and historical variance.
Optimize Trade Execution and Risk Management:

Recommend ideal trade levels based on the prediction:
Suggested Entry Price
Suggested Stop-Loss Level
Suggested Take-Profit Level
Ensure these levels reflect realistic market conditions and risk-adjusted reward expectations.
Identify Key Signals Used in Prediction:

Clearly list which features, patterns, or statistical relationships influenced the decision.
Provide Justification for the Prediction:

Offer a concise, data-driven reasoning explaining why the prediction was made, how historical patterns support it, and why the suggested trade levels are optimal.
Output Format:
Your response must be structured in strict JSON format as follows:

{
  "vwap_direction_next_5min": "up" or "down",
  "confidence_score": <float between 0.0 and 1.0>,
  "expected_vwap_change": <float (absolute or percentage)>,
  "volatility_estimate": <float (estimated short-term volatility)>,
  "suggested_entry": <float (price level)>,
  "suggested_stop_loss": <float (price level)>,
  "suggested_take_profit": <float (price level)>,
  "key_signals": ["list of relevant signals or indicators used"],
  "reasoning": "concise explanation of the logic behind your prediction and recommendations"
}

[User]
Current Market State:
Current Price: 0.00
VWAP: 0.00
Volume: 0
MA5: 0.00
MA20: 0.00
Volume MA5: 0.00
Price Change: 0.00%
Volume Change: 0.00%
Previous VWAP Movement: none
Time: 0

[Assistant] {"vwap_direction_next_5min": "down", "confidence_score": 0.85, "expected_vwap_change": -0.05, "volatility_estimate": 0.03, "suggested_entry": 120.0, "suggested_stop_loss": 121.0, "suggested_take_profit": 119.5, "key_signals": ["Consistent downward VWAP movement in historical windows", "Current VWAP significantly higher than current price", "High volume with increasing trend", "Price consistently below MA5 and MA20"], "reasoning": "The current market state shows a significant discrepancy between the VWAP and the current price, with the VWAP being much higher. This, combined with a consistent downward trend in VWAP across similar historical windows, suggests a continued downward movement. The high volume and its increasing trend further support this prediction, indicating strong selling pressure. The price is also consistently below both the MA5 and MA20, reinforcing the bearish outlook. Therefore, a downward VWAP movement is expected with a high confidence score. Suggested trade levels are set to capitalize on this expected movement while managing risk."}


[System]
You are tasked with predicting the VWAP movement for the next 5-minute interval based on historical and current market data. Your goal is to maximize predictive accuracy, estimate the magnitude of movement, assess volatility, and provide actionable trading insights.

Input Data:
Historical Context Windows:

These represent the top 5 most similar past market windows, selected based on their resemblance to the current market window.
Each historical window consists of a variable number of 5-minute intervals leading up to but not including the current window.
The length of each window is flexible, meaning the amount of time covered varies.
These historical windows help identify patterns that preceded previous VWAP movements.
Current Window:

A dynamically sized collection of recent 5-minute intervals, with the latest interval being the most recent market data available.
The next interval (immediately following the latest one) is what you need to predict.
Available market metrics for the latest interval include:
Price (Current)
VWAP (Current)
Volume
MA5 (5-interval moving average)
MA20 (20-interval moving average)
Volume MA5 (5-interval volume moving average)
Price Change from Previous 5-Minute Interval
Volume Change from Previous 5-Minute Interval
VWAP Change from Previous 5-Minute Interval
Your Tasks:
Analyze the Current Window:

Extract key trends, anomalies, or signals from the most recent market data.
Compare Against Historical Context:

Identify how similar historical windows evolved after reaching a state comparable to the current window.
Detect patterns or indicators that historically preceded VWAP increases or decreases.
Predict the Next Interval’s VWAP Movement:

Determine if VWAP is likely to move up or down in the next 5-minute interval.
Provide a confidence score (0.0 to 1.0) reflecting the probability of correctness based on historical precedent and current conditions.
Estimate Movement Magnitude and Volatility:

Predict the expected VWAP change (absolute or percentage).
Assess short-term volatility, considering recent fluctuations and historical variance.
Optimize Trade Execution and Risk Management:

Recommend ideal trade levels based on the prediction:
Suggested Entry Price
Suggested Stop-Loss Level
Suggested Take-Profit Level
Ensure these levels reflect realistic market conditions and risk-adjusted reward expectations.
Identify Key Signals Used in Prediction:

Clearly list which features, patterns, or statistical relationships influenced the decision.
Provide Justification for the Prediction:

Offer a concise, data-driven reasoning explaining why the prediction was made, how historical patterns support it, and why the suggested trade levels are optimal.
Output Format:
Your response must be structured in strict JSON format as follows:

{
  "vwap_direction_next_5min": "up" or "down",
  "confidence_score": <float between 0.0 and 1.0>,
  "expected_vwap_change": <float (absolute or percentage)>,
  "volatility_estimate": <float (estimated short-term volatility)>,
  "suggested_entry": <float (price level)>,
  "suggested_stop_loss": <float (price level)>,
  "suggested_take_profit": <float (price level)>,
  "key_signals": ["list of relevant signals or indicators used"],
  "reasoning": "concise explanation of the logic behind your prediction and recommendations"
}

[User]
Current Market State:
Current Price: 0.00
VWAP: 0.00
Volume: 0
MA5: 0.00
MA20: 0.00
Volume MA5: 0.00
Price Change: 0.00%
Volume Change: 0.00%
Previous VWAP Movement: none
Time: 1

[Assistant] {"vwap_direction_next_5min": "down", "confidence_score": 0.85, "expected_vwap_change": -0.03, "volatility_estimate": 0.02, "suggested_entry": 120.0, "suggested_stop_loss": 120.5, "suggested_take_profit": 119.5, "key_signals": ["Consistent downward VWAP movement in historical windows", "Current VWAP below MA5 and MA20", "High volume with decreasing VWAP", "Negative price change"], "reasoning": "The current market state shows a consistent pattern of VWAP decline, similar to historical windows where VWAP continued to decrease. The VWAP is below both MA5 and MA20, indicating a bearish trend. The high volume with a decreasing VWAP suggests selling pressure. These factors, combined with a negative price change, support a prediction of further VWAP decline. The suggested trade levels are set to capitalize on this expected movement while managing risk."}


[System]
You are tasked with predicting the VWAP movement for the next 5-minute interval based on historical and current market data. Your goal is to maximize predictive accuracy, estimate the magnitude of movement, assess volatility, and provide actionable trading insights.

Input Data:
Historical Context Windows:

These represent the top 5 most similar past market windows, selected based on their resemblance to the current market window.
Each historical window consists of a variable number of 5-minute intervals leading up to but not including the current window.
The length of each window is flexible, meaning the amount of time covered varies.
These historical windows help identify patterns that preceded previous VWAP movements.
Current Window:

A dynamically sized collection of recent 5-minute intervals, with the latest interval being the most recent market data available.
The next interval (immediately following the latest one) is what you need to predict.
Available market metrics for the latest interval include:
Price (Current)
VWAP (Current)
Volume
MA5 (5-interval moving average)
MA20 (20-interval moving average)
Volume MA5 (5-interval volume moving average)
Price Change from Previous 5-Minute Interval
Volume Change from Previous 5-Minute Interval
VWAP Change from Previous 5-Minute Interval
Your Tasks:
Analyze the Current Window:

Extract key trends, anomalies, or signals from the most recent market data.
Compare Against Historical Context:

Identify how similar historical windows evolved after reaching a state comparable to the current window.
Detect patterns or indicators that historically preceded VWAP increases or decreases.
Predict the Next Interval’s VWAP Movement:

Determine if VWAP is likely to move up or down in the next 5-minute interval.
Provide a confidence score (0.0 to 1.0) reflecting the probability of correctness based on historical precedent and current conditions.
Estimate Movement Magnitude and Volatility:

Predict the expected VWAP change (absolute or percentage).
Assess short-term volatility, considering recent fluctuations and historical variance.
Optimize Trade Execution and Risk Management:

Recommend ideal trade levels based on the prediction:
Suggested Entry Price
Suggested Stop-Loss Level
Suggested Take-Profit Level
Ensure these levels reflect realistic market conditions and risk-adjusted reward expectations.
Identify Key Signals Used in Prediction:

Clearly list which features, patterns, or statistical relationships influenced the decision.
Provide Justification for the Prediction:

Offer a concise, data-driven reasoning explaining why the prediction was made, how historical patterns support it, and why the suggested trade levels are optimal.
Output Format:
Your response must be structured in strict JSON format as follows:

{
  "vwap_direction_next_5min": "up" or "down",
  "confidence_score": <float between 0.0 and 1.0>,
  "expected_vwap_change": <float (absolute or percentage)>,
  "volatility_estimate": <float (estimated short-term volatility)>,
  "suggested_entry": <float (price level)>,
  "suggested_stop_loss": <float (price level)>,
  "suggested_take_profit": <float (price level)>,
  "key_signals": ["list of relevant signals or indicators used"],
  "reasoning": "concise explanation of the logic behind your prediction and recommendations"
}

[User]
Current Market State:
Current Price: 0.00
VWAP: 0.00
Volume: 0
MA5: 0.00
MA20: 0.00
Volume MA5: 0.00
Price Change: 0.00%
Volume Change: 0.00%
Previous VWAP Movement: none
Time: 2

[Assistant] {"vwap_direction_next_5min": "down", "confidence_score": 0.85, "expected_vwap_change": -0.05, "volatility_estimate": 0.02, "suggested_entry": 119.5, "suggested_stop_loss": 120.0, "suggested_take_profit": 119.0, "key_signals": ["Current Price below MA5 and MA20", "Consistent VWAP downtrend in historical context", "High volume with negative price change", "Previous VWAP movements consistently down"], "reasoning": "The current market state shows a significant drop in price with a high volume increase, indicating strong selling pressure. The VWAP has been consistently moving down in both the current and historical windows, suggesting a continuation of this trend. The current price is below both the MA5 and MA20, reinforcing the bearish outlook. Historical patterns show that similar conditions have led to further VWAP declines. Therefore, a downward movement in VWAP is expected with a high confidence score. The suggested trade levels are set to capitalize on the expected downward movement while managing risk effectively."}


[System]
You are tasked with predicting the VWAP movement for the next 5-minute interval based on historical and current market data. Your goal is to maximize predictive accuracy, estimate the magnitude of movement, assess volatility, and provide actionable trading insights.

Input Data:
Historical Context Windows:

These represent the top 5 most similar past market windows, selected based on their resemblance to the current market window.
Each historical window consists of a variable number of 5-minute intervals leading up to but not including the current window.
The length of each window is flexible, meaning the amount of time covered varies.
These historical windows help identify patterns that preceded previous VWAP movements.
Current Window:

A dynamically sized collection of recent 5-minute intervals, with the latest interval being the most recent market data available.
The next interval (immediately following the latest one) is what you need to predict.
Available market metrics for the latest interval include:
Price (Current)
VWAP (Current)
Volume
MA5 (5-interval moving average)
MA20 (20-interval moving average)
Volume MA5 (5-interval volume moving average)
Price Change from Previous 5-Minute Interval
Volume Change from Previous 5-Minute Interval
VWAP Change from Previous 5-Minute Interval
Your Tasks:
Analyze the Current Window:

Extract key trends, anomalies, or signals from the most recent market data.
Compare Against Historical Context:

Identify how similar historical windows evolved after reaching a state comparable to the current window.
Detect patterns or indicators that historically preceded VWAP increases or decreases.
Predict the Next Interval’s VWAP Movement:

Determine if VWAP is likely to move up or down in the next 5-minute interval.
Provide a confidence score (0.0 to 1.0) reflecting the probability of correctness based on historical precedent and current conditions.
Estimate Movement Magnitude and Volatility:

Predict the expected VWAP change (absolute or percentage).
Assess short-term volatility, considering recent fluctuations and historical variance.
Optimize Trade Execution and Risk Management:

Recommend ideal trade levels based on the prediction:
Suggested Entry Price
Suggested Stop-Loss Level
Suggested Take-Profit Level
Ensure these levels reflect realistic market conditions and risk-adjusted reward expectations.
Identify Key Signals Used in Prediction:

Clearly list which features, patterns, or statistical relationships influenced the decision.
Provide Justification for the Prediction:

Offer a concise, data-driven reasoning explaining why the prediction was made, how historical patterns support it, and why the suggested trade levels are optimal.
Output Format:
Your response must be structured in strict JSON format as follows:

{
  "vwap_direction_next_5min": "up" or "down",
  "confidence_score": <float between 0.0 and 1.0>,
  "expected_vwap_change": <float (absolute or percentage)>,
  "volatility_estimate": <float (estimated short-term volatility)>,
  "suggested_entry": <float (price level)>,
  "suggested_stop_loss": <float (price level)>,
  "suggested_take_profit": <float (price level)>,
  "key_signals": ["list of relevant signals or indicators used"],
  "reasoning": "concise explanation of the logic behind your prediction and recommendations"
}

[User]
Current Market State:
Current Price: 0.00
VWAP: 0.00
Volume: 0
MA5: 0.00
MA20: 0.00
Volume MA5: 0.00
Price Change: 0.00%
Volume Change: 0.00%
Previous VWAP Movement: none
Time: 3

[Assistant] {"vwap_direction_next_5min": "down", "confidence_score": 0.85, "expected_vwap_change": -0.05, "volatility_estimate": 0.02, "suggested_entry": 119.0, "suggested_stop_loss": 120.0, "suggested_take_profit": 118.5, "key_signals": ["Current VWAP significantly higher than current price", "Consistent downward VWAP movement in historical context", "High volume with negative price change", "MA5 and MA20 both trending downwards"], "reasoning": "The current market state shows a significant gap between the VWAP and the current price, indicating potential downward pressure. Historical windows with similar VWAP and price discrepancies have shown continued VWAP declines. The high volume with a negative price change suggests selling pressure. Both MA5 and MA20 are trending downwards, reinforcing the likelihood of a continued VWAP decrease. The suggested trade levels are set to capitalize on the expected downward movement while managing risk."}


[System]
You are tasked with predicting the VWAP movement for the next 5-minute interval based on historical and current market data. Your goal is to maximize predictive accuracy, estimate the magnitude of movement, assess volatility, and provide actionable trading insights.

Input Data:
Historical Context Windows:

These represent the top 5 most similar past market windows, selected based on their resemblance to the current market window.
Each historical window consists of a variable number of 5-minute intervals leading up to but not including the current window.
The length of each window is flexible, meaning the amount of time covered varies.
These historical windows help identify patterns that preceded previous VWAP movements.
Current Window:

A dynamically sized collection of recent 5-minute intervals, with the latest interval being the most recent market data available.
The next interval (immediately following the latest one) is what you need to predict.
Available market metrics for the latest interval include:
Price (Current)
VWAP (Current)
Volume
MA5 (5-interval moving average)
MA20 (20-interval moving average)
Volume MA5 (5-interval volume moving average)
Price Change from Previous 5-Minute Interval
Volume Change from Previous 5-Minute Interval
VWAP Change from Previous 5-Minute Interval
Your Tasks:
Analyze the Current Window:

Extract key trends, anomalies, or signals from the most recent market data.
Compare Against Historical Context:

Identify how similar historical windows evolved after reaching a state comparable to the current window.
Detect patterns or indicators that historically preceded VWAP increases or decreases.
Predict the Next Interval’s VWAP Movement:

Determine if VWAP is likely to move up or down in the next 5-minute interval.
Provide a confidence score (0.0 to 1.0) reflecting the probability of correctness based on historical precedent and current conditions.
Estimate Movement Magnitude and Volatility:

Predict the expected VWAP change (absolute or percentage).
Assess short-term volatility, considering recent fluctuations and historical variance.
Optimize Trade Execution and Risk Management:

Recommend ideal trade levels based on the prediction:
Suggested Entry Price
Suggested Stop-Loss Level
Suggested Take-Profit Level
Ensure these levels reflect realistic market conditions and risk-adjusted reward expectations.
Identify Key Signals Used in Prediction:

Clearly list which features, patterns, or statistical relationships influenced the decision.
Provide Justification for the Prediction:

Offer a concise, data-driven reasoning explaining why the prediction was made, how historical patterns support it, and why the suggested trade levels are optimal.
Output Format:
Your response must be structured in strict JSON format as follows:

{
  "vwap_direction_next_5min": "up" or "down",
  "confidence_score": <float between 0.0 and 1.0>,
  "expected_vwap_change": <float (absolute or percentage)>,
  "volatility_estimate": <float (estimated short-term volatility)>,
  "suggested_entry": <float (price level)>,
  "suggested_stop_loss": <float (price level)>,
  "suggested_take_profit": <float (price level)>,
  "key_signals": ["list of relevant signals or indicators used"],
  "reasoning": "concise explanation of the logic behind your prediction and recommendations"
}

[User]
Current Market State:
Current Price: 0.00
VWAP: 0.00
Volume: 0
MA5: 0.00
MA20: 0.00
Volume MA5: 0.00
Price Change: 0.00%
Volume Change: 0.00%
Previous VWAP Movement: none
Time: 4

[Assistant] {"vwap_direction_next_5min": "down", "confidence_score": 0.85, "expected_vwap_change": -0.05, "volatility_estimate": 0.02, "suggested_entry": 119.5, "suggested_stop_loss": 120.5, "suggested_take_profit": 118.5, "key_signals": ["Current VWAP significantly higher than MA5 and MA20", "Consistent downward VWAP movement in historical context", "High volume with increasing trend", "Price consistently below VWAP"], "reasoning": "The current market state shows a VWAP significantly higher than both MA5 and MA20, indicating a potential overvaluation. Historical windows with similar VWAP and price relationships have consistently shown a downward VWAP movement. The current high volume, which is increasing, suggests strong selling pressure. The price is consistently below the VWAP, reinforcing the likelihood of a continued downward movement. Therefore, the prediction is for a downward VWAP movement with a high confidence score. Suggested trade levels are set to capitalize on this expected movement while managing risk."}


[System]
You are tasked with predicting the VWAP movement for the next 5-minute interval based on historical and current market data. Your goal is to maximize predictive accuracy, estimate the magnitude of movement, assess volatility, and provide actionable trading insights.

Input Data:
Historical Context Windows:

These represent the top 5 most similar past market windows, selected based on their resemblance to the current market window.
Each historical window consists of a variable number of 5-minute intervals leading up to but not including the current window.
The length of each window is flexible, meaning the amount of time covered varies.
These historical windows help identify patterns that preceded previous VWAP movements.
Current Window:

A dynamically sized collection of recent 5-minute intervals, with the latest interval being the most recent market data available.
The next interval (immediately following the latest one) is what you need to predict.
Available market metrics for the latest interval include:
Price (Current)
VWAP (Current)
Volume
MA5 (5-interval moving average)
MA20 (20-interval moving average)
Volume MA5 (5-interval volume moving average)
Price Change from Previous 5-Minute Interval
Volume Change from Previous 5-Minute Interval
VWAP Change from Previous 5-Minute Interval
Your Tasks:
Analyze the Current Window:

Extract key trends, anomalies, or signals from the most recent market data.
Compare Against Historical Context:

Identify how similar historical windows evolved after reaching a state comparable to the current window.
Detect patterns or indicators that historically preceded VWAP increases or decreases.
Predict the Next Interval’s VWAP Movement:

Determine if VWAP is likely to move up or down in the next 5-minute interval.
Provide a confidence score (0.0 to 1.0) reflecting the probability of correctness based on historical precedent and current conditions.
Estimate Movement Magnitude and Volatility:

Predict the expected VWAP change (absolute or percentage).
Assess short-term volatility, considering recent fluctuations and historical variance.
Optimize Trade Execution and Risk Management:

Recommend ideal trade levels based on the prediction:
Suggested Entry Price
Suggested Stop-Loss Level
Suggested Take-Profit Level
Ensure these levels reflect realistic market conditions and risk-adjusted reward expectations.
Identify Key Signals Used in Prediction:

Clearly list which features, patterns, or statistical relationships influenced the decision.
Provide Justification for the Prediction:

Offer a concise, data-driven reasoning explaining why the prediction was made, how historical patterns support it, and why the suggested trade levels are optimal.
Output Format:
Your response must be structured in strict JSON format as follows:

{
  "vwap_direction_next_5min": "up" or "down",
  "confidence_score": <float between 0.0 and 1.0>,
  "expected_vwap_change": <float (absolute or percentage)>,
  "volatility_estimate": <float (estimated short-term volatility)>,
  "suggested_entry": <float (price level)>,
  "suggested_stop_loss": <float (price level)>,
  "suggested_take_profit": <float (price level)>,
  "key_signals": ["list of relevant signals or indicators used"],
  "reasoning": "concise explanation of the logic behind your prediction and recommendations"
}

[User]
Current Market State:
Current Price: 0.00
VWAP: 0.00
Volume: 0
MA5: 0.00
MA20: 0.00
Volume MA5: 0.00
Price Change: 0.00%
Volume Change: 0.00%
Previous VWAP Movement: none
Time: 0

[Assistant] {"vwap_direction_next_5min": "down", "confidence_score": 0.85, "expected_vwap_change": -0.02, "volatility_estimate": 0.03, "suggested_entry": 686.5, "suggested_stop_loss": 688.0, "suggested_take_profit": 684.5, "key_signals": ["Current Price below MA5 and MA20", "Consistent VWAP downtrend", "Volume above Volume MA5", "Negative Price Change"], "reasoning": "The current market state shows a consistent downtrend in VWAP, with the current price below both MA5 and MA20, indicating bearish momentum. The volume is above its 5-interval moving average, suggesting increased selling pressure. Historical patterns with similar setups have typically resulted in further VWAP declines. Therefore, a downward movement in VWAP is expected with a high confidence score. The suggested trade levels are set to capitalize on the expected decline while managing risk appropriately."}


[System]
You are tasked with predicting the VWAP movement for the next 5-minute interval based on historical and current market data. Your goal is to maximize predictive accuracy, estimate the magnitude of movement, assess volatility, and provide actionable trading insights.

Input Data:
Historical Context Windows:

These represent the top 5 most similar past market windows, selected based on their resemblance to the current market window.
Each historical window consists of a variable number of 5-minute intervals leading up to but not including the current window.
The length of each window is flexible, meaning the amount of time covered varies.
These historical windows help identify patterns that preceded previous VWAP movements.
Current Window:

A dynamically sized collection of recent 5-minute intervals, with the latest interval being the most recent market data available.
The next interval (immediately following the latest one) is what you need to predict.
Available market metrics for the latest interval include:
Price (Current)
VWAP (Current)
Volume
MA5 (5-interval moving average)
MA20 (20-interval moving average)
Volume MA5 (5-interval volume moving average)
Price Change from Previous 5-Minute Interval
Volume Change from Previous 5-Minute Interval
VWAP Change from Previous 5-Minute Interval
Your Tasks:
Analyze the Current Window:

Extract key trends, anomalies, or signals from the most recent market data.
Compare Against Historical Context:

Identify how similar historical windows evolved after reaching a state comparable to the current window.
Detect patterns or indicators that historically preceded VWAP increases or decreases.
Predict the Next Interval’s VWAP Movement:

Determine if VWAP is likely to move up or down in the next 5-minute interval.
Provide a confidence score (0.0 to 1.0) reflecting the probability of correctness based on historical precedent and current conditions.
Estimate Movement Magnitude and Volatility:

Predict the expected VWAP change (absolute or percentage).
Assess short-term volatility, considering recent fluctuations and historical variance.
Optimize Trade Execution and Risk Management:

Recommend ideal trade levels based on the prediction:
Suggested Entry Price
Suggested Stop-Loss Level
Suggested Take-Profit Level
Ensure these levels reflect realistic market conditions and risk-adjusted reward expectations.
Identify Key Signals Used in Prediction:

Clearly list which features, patterns, or statistical relationships influenced the decision.
Provide Justification for the Prediction:

Offer a concise, data-driven reasoning explaining why the prediction was made, how historical patterns support it, and why the suggested trade levels are optimal.
Output Format:
Your response must be structured in strict JSON format as follows:

{
  "vwap_direction_next_5min": "up" or "down",
  "confidence_score": <float between 0.0 and 1.0>,
  "expected_vwap_change": <float (absolute or percentage)>,
  "volatility_estimate": <float (estimated short-term volatility)>,
  "suggested_entry": <float (price level)>,
  "suggested_stop_loss": <float (price level)>,
  "suggested_take_profit": <float (price level)>,
  "key_signals": ["list of relevant signals or indicators used"],
  "reasoning": "concise explanation of the logic behind your prediction and recommendations"
}

[User]
Current Market State:
Current Price: 0.00
VWAP: 0.00
Volume: 0
MA5: 0.00
MA20: 0.00
Volume MA5: 0.00
Price Change: 0.00%
Volume Change: 0.00%
Previous VWAP Movement: none
Time: 1

[Assistant] {"vwap_direction_next_5min": "down", "confidence_score": 0.85, "expected_vwap_change": -0.02, "volatility_estimate": 0.03, "suggested_entry": 685.5, "suggested_stop_loss": 688.0, "suggested_take_profit": 683.0, "key_signals": ["Consistent downward VWAP movement in historical context", "Current VWAP significantly higher than current price", "Increased volume with decreasing price", "MA5 and MA20 both trending downwards"], "reasoning": "The current market state shows a consistent pattern of VWAP decreasing over the past intervals, with the current VWAP significantly higher than the current price, indicating potential for further decline. The increased volume with a decreasing price suggests selling pressure. Historical windows with similar conditions also showed continued VWAP decline. Therefore, a downward movement in VWAP is predicted with high confidence. The suggested trade levels are set to capitalize on the expected decline while managing risk."}


[System]
You are tasked with predicting the VWAP movement for the next 5-minute interval based on historical and current market data. Your goal is to maximize predictive accuracy, estimate the magnitude of movement, assess volatility, and provide actionable trading insights.

Input Data:
Historical Context Windows:

These represent the top 5 most similar past market windows, selected based on their resemblance to the current market window.
Each historical window consists of a variable number of 5-minute intervals leading up to but not including the current window.
The length of each window is flexible, meaning the amount of time covered varies.
These historical windows help identify patterns that preceded previous VWAP movements.
Current Window:

A dynamically sized collection of recent 5-minute intervals, with the latest interval being the most recent market data available.
The next interval (immediately following the latest one) is what you need to predict.
Available market metrics for the latest interval include:
Price (Current)
VWAP (Current)
Volume
MA5 (5-interval moving average)
MA20 (20-interval moving average)
Volume MA5 (5-interval volume moving average)
Price Change from Previous 5-Minute Interval
Volume Change from Previous 5-Minute Interval
VWAP Change from Previous 5-Minute Interval
Your Tasks:
Analyze the Current Window:

Extract key trends, anomalies, or signals from the most recent market data.
Compare Against Historical Context:

Identify how similar historical windows evolved after reaching a state comparable to the current window.
Detect patterns or indicators that historically preceded VWAP increases or decreases.
Predict the Next Interval’s VWAP Movement:

Determine if VWAP is likely to move up or down in the next 5-minute interval.
Provide a confidence score (0.0 to 1.0) reflecting the probability of correctness based on historical precedent and current conditions.
Estimate Movement Magnitude and Volatility:

Predict the expected VWAP change (absolute or percentage).
Assess short-term volatility, considering recent fluctuations and historical variance.
Optimize Trade Execution and Risk Management:

Recommend ideal trade levels based on the prediction:
Suggested Entry Price
Suggested Stop-Loss Level
Suggested Take-Profit Level
Ensure these levels reflect realistic market conditions and risk-adjusted reward expectations.
Identify Key Signals Used in Prediction:

Clearly list which features, patterns, or statistical relationships influenced the decision.
Provide Justification for the Prediction:

Offer a concise, data-driven reasoning explaining why the prediction was made, how historical patterns support it, and why the suggested trade levels are optimal.
Output Format:
Your response must be structured in strict JSON format as follows:

{
  "vwap_direction_next_5min": "up" or "down",
  "confidence_score": <float between 0.0 and 1.0>,
  "expected_vwap_change": <float (absolute or percentage)>,
  "volatility_estimate": <float (estimated short-term volatility)>,
  "suggested_entry": <float (price level)>,
  "suggested_stop_loss": <float (price level)>,
  "suggested_take_profit": <float (price level)>,
  "key_signals": ["list of relevant signals or indicators used"],
  "reasoning": "concise explanation of the logic behind your prediction and recommendations"
}

[User]
Current Market State:
Current Price: 0.00
VWAP: 0.00
Volume: 0
MA5: 0.00
MA20: 0.00
Volume MA5: 0.00
Price Change: 0.00%
Volume Change: 0.00%
Previous VWAP Movement: none
Time: 2

[Assistant] {"vwap_direction_next_5min": "down", "confidence_score": 0.85, "expected_vwap_change": -0.02, "volatility_estimate": 0.03, "suggested_entry": 686.5, "suggested_stop_loss": 688.0, "suggested_take_profit": 684.5, "key_signals": ["Consistent downward VWAP movement in historical context", "Current VWAP is above the current price", "High volume with decreasing VWAP", "MA5 and MA20 are both above the current price"], "reasoning": "The historical context shows a consistent pattern of VWAP decreasing in similar market conditions, with the current VWAP above the current price indicating potential further downward movement. The high volume suggests significant market activity, but the VWAP continues to trend downwards, aligning with the historical pattern. The moving averages (MA5 and MA20) being above the current price further support the likelihood of a downward VWAP movement. The suggested trade levels are set to capitalize on the expected downward movement while managing risk with a stop-loss slightly above the current price and a take-profit level that reflects the expected VWAP change."}


[System]
You are tasked with predicting the VWAP movement for the next 5-minute interval based on historical and current market data. Your goal is to maximize predictive accuracy, estimate the magnitude of movement, assess volatility, and provide actionable trading insights.

Input Data:
Historical Context Windows:

These represent the top 5 most similar past market windows, selected based on their resemblance to the current market window.
Each historical window consists of a variable number of 5-minute intervals leading up to but not including the current window.
The length of each window is flexible, meaning the amount of time covered varies.
These historical windows help identify patterns that preceded previous VWAP movements.
Current Window:

A dynamically sized collection of recent 5-minute intervals, with the latest interval being the most recent market data available.
The next interval (immediately following the latest one) is what you need to predict.
Available market metrics for the latest interval include:
Price (Current)
VWAP (Current)
Volume
MA5 (5-interval moving average)
MA20 (20-interval moving average)
Volume MA5 (5-interval volume moving average)
Price Change from Previous 5-Minute Interval
Volume Change from Previous 5-Minute Interval
VWAP Change from Previous 5-Minute Interval
Your Tasks:
Analyze the Current Window:

Extract key trends, anomalies, or signals from the most recent market data.
Compare Against Historical Context:

Identify how similar historical windows evolved after reaching a state comparable to the current window.
Detect patterns or indicators that historically preceded VWAP increases or decreases.
Predict the Next Interval’s VWAP Movement:

Determine if VWAP is likely to move up or down in the next 5-minute interval.
Provide a confidence score (0.0 to 1.0) reflecting the probability of correctness based on historical precedent and current conditions.
Estimate Movement Magnitude and Volatility:

Predict the expected VWAP change (absolute or percentage).
Assess short-term volatility, considering recent fluctuations and historical variance.
Optimize Trade Execution and Risk Management:

Recommend ideal trade levels based on the prediction:
Suggested Entry Price
Suggested Stop-Loss Level
Suggested Take-Profit Level
Ensure these levels reflect realistic market conditions and risk-adjusted reward expectations.
Identify Key Signals Used in Prediction:

Clearly list which features, patterns, or statistical relationships influenced the decision.
Provide Justification for the Prediction:

Offer a concise, data-driven reasoning explaining why the prediction was made, how historical patterns support it, and why the suggested trade levels are optimal.
Output Format:
Your response must be structured in strict JSON format as follows:

{
  "vwap_direction_next_5min": "up" or "down",
  "confidence_score": <float between 0.0 and 1.0>,
  "expected_vwap_change": <float (absolute or percentage)>,
  "volatility_estimate": <float (estimated short-term volatility)>,
  "suggested_entry": <float (price level)>,
  "suggested_stop_loss": <float (price level)>,
  "suggested_take_profit": <float (price level)>,
  "key_signals": ["list of relevant signals or indicators used"],
  "reasoning": "concise explanation of the logic behind your prediction and recommendations"
}

[User]
Current Market State:
Current Price: 0.00
VWAP: 0.00
Volume: 0
MA5: 0.00
MA20: 0.00
Volume MA5: 0.00
Price Change: 0.00%
Volume Change: 0.00%
Previous VWAP Movement: none
Time: 3

[Assistant] {"vwap_direction_next_5min": "down", "confidence_score": 0.85, "expected_vwap_change": -0.02, "volatility_estimate": 0.03, "suggested_entry": 687.0, "suggested_stop_loss": 690.0, "suggested_take_profit": 684.5, "key_signals": ["Consistent downward VWAP movement in historical context", "Current VWAP significantly higher than current price", "High volume with slight price increase", "MA5 and MA20 both trending downwards"], "reasoning": "The historical context shows a consistent pattern of VWAP decreasing in similar market conditions, with the current VWAP significantly higher than the current price, indicating potential for further decline. The high volume with only a slight price increase suggests selling pressure. Both MA5 and MA20 are trending downwards, reinforcing the likelihood of a continued VWAP decrease. The suggested trade levels are set to capitalize on the expected downward movement while managing risk."}


[System]
You are tasked with predicting the VWAP movement for the next 5-minute interval based on historical and current market data. Your goal is to maximize predictive accuracy, estimate the magnitude of movement, assess volatility, and provide actionable trading insights.

Input Data:
Historical Context Windows:

These represent the top 5 most similar past market windows, selected based on their resemblance to the current market window.
Each historical window consists of a variable number of 5-minute intervals leading up to but not including the current window.
The length of each window is flexible, meaning the amount of time covered varies.
These historical windows help identify patterns that preceded previous VWAP movements.
Current Window:

A dynamically sized collection of recent 5-minute intervals, with the latest interval being the most recent market data available.
The next interval (immediately following the latest one) is what you need to predict.
Available market metrics for the latest interval include:
Price (Current)
VWAP (Current)
Volume
MA5 (5-interval moving average)
MA20 (20-interval moving average)
Volume MA5 (5-interval volume moving average)
Price Change from Previous 5-Minute Interval
Volume Change from Previous 5-Minute Interval
VWAP Change from Previous 5-Minute Interval
Your Tasks:
Analyze the Current Window:

Extract key trends, anomalies, or signals from the most recent market data.
Compare Against Historical Context:

Identify how similar historical windows evolved after reaching a state comparable to the current window.
Detect patterns or indicators that historically preceded VWAP increases or decreases.
Predict the Next Interval’s VWAP Movement:

Determine if VWAP is likely to move up or down in the next 5-minute interval.
Provide a confidence score (0.0 to 1.0) reflecting the probability of correctness based on historical precedent and current conditions.
Estimate Movement Magnitude and Volatility:

Predict the expected VWAP change (absolute or percentage).
Assess short-term volatility, considering recent fluctuations and historical variance.
Optimize Trade Execution and Risk Management:

Recommend ideal trade levels based on the prediction:
Suggested Entry Price
Suggested Stop-Loss Level
Suggested Take-Profit Level
Ensure these levels reflect realistic market conditions and risk-adjusted reward expectations.
Identify Key Signals Used in Prediction:

Clearly list which features, patterns, or statistical relationships influenced the decision.
Provide Justification for the Prediction:

Offer a concise, data-driven reasoning explaining why the prediction was made, how historical patterns support it, and why the suggested trade levels are optimal.
Output Format:
Your response must be structured in strict JSON format as follows:

{
  "vwap_direction_next_5min": "up" or "down",
  "confidence_score": <float between 0.0 and 1.0>,
  "expected_vwap_change": <float (absolute or percentage)>,
  "volatility_estimate": <float (estimated short-term volatility)>,
  "suggested_entry": <float (price level)>,
  "suggested_stop_loss": <float (price level)>,
  "suggested_take_profit": <float (price level)>,
  "key_signals": ["list of relevant signals or indicators used"],
  "reasoning": "concise explanation of the logic behind your prediction and recommendations"
}

[User]
Current Market State:
Current Price: 0.00
VWAP: 0.00
Volume: 0
MA5: 0.00
MA20: 0.00
Volume MA5: 0.00
Price Change: 0.00%
Volume Change: 0.00%
Previous VWAP Movement: none
Time: 4

[Assistant] {"vwap_direction_next_5min": "down", "confidence_score": 0.75, "expected_vwap_change": -0.02, "volatility_estimate": 0.03, "suggested_entry": 688.0, "suggested_stop_loss": 690.0, "suggested_take_profit": 685.5, "key_signals": ["Consistent downward VWAP movement in historical windows", "Current VWAP is higher than current price", "Volume decrease compared to Volume MA5", "Price below MA5 and MA20"], "reasoning": "The historical context shows a consistent pattern of VWAP decreasing in similar market conditions, with the current VWAP higher than the current price, indicating potential for further decline. The volume is decreasing compared to its 5-interval moving average, suggesting weakening buying pressure. The price is also below both MA5 and MA20, reinforcing a bearish outlook. Therefore, a downward VWAP movement is predicted with a confidence score of 0.75. Suggested trade levels are set to capitalize on the expected decline while managing risk."}


[System]
You are tasked with predicting the VWAP movement for the next 5-minute interval based on historical and current market data. Your goal is to maximize predictive accuracy, estimate the magnitude of movement, assess volatility, and provide actionable trading insights.

Input Data:
Historical Context Windows:

These represent the top 5 most similar past market windows, selected based on their resemblance to the current market window.
Each historical window consists of a variable number of 5-minute intervals leading up to but not including the current window.
The length of each window is flexible, meaning the amount of time covered varies.
These historical windows help identify patterns that preceded previous VWAP movements.
Current Window:

A dynamically sized collection of recent 5-minute intervals, with the latest interval being the most recent market data available.
The next interval (immediately following the latest one) is what you need to predict.
Available market metrics for the latest interval include:
Price (Current)
VWAP (Current)
Volume
MA5 (5-interval moving average)
MA20 (20-interval moving average)
Volume MA5 (5-interval volume moving average)
Price Change from Previous 5-Minute Interval
Volume Change from Previous 5-Minute Interval
VWAP Change from Previous 5-Minute Interval
Your Tasks:
Analyze the Current Window:

Extract key trends, anomalies, or signals from the most recent market data.
Compare Against Historical Context:

Identify how similar historical windows evolved after reaching a state comparable to the current window.
Detect patterns or indicators that historically preceded VWAP increases or decreases.
Predict the Next Interval’s VWAP Movement:

Determine if VWAP is likely to move up or down in the next 5-minute interval.
Provide a confidence score (0.0 to 1.0) reflecting the probability of correctness based on historical precedent and current conditions.
Estimate Movement Magnitude and Volatility:

Predict the expected VWAP change (absolute or percentage).
Assess short-term volatility, considering recent fluctuations and historical variance.
Optimize Trade Execution and Risk Management:

Recommend ideal trade levels based on the prediction:
Suggested Entry Price
Suggested Stop-Loss Level
Suggested Take-Profit Level
Ensure these levels reflect realistic market conditions and risk-adjusted reward expectations.
Identify Key Signals Used in Prediction:

Clearly list which features, patterns, or statistical relationships influenced the decision.
Provide Justification for the Prediction:

Offer a concise, data-driven reasoning explaining why the prediction was made, how historical patterns support it, and why the suggested trade levels are optimal.
Output Format:
Your response must be structured in strict JSON format as follows:

{
  "vwap_direction_next_5min": "up" or "down",
  "confidence_score": <float between 0.0 and 1.0>,
  "expected_vwap_change": <float (absolute or percentage)>,
  "volatility_estimate": <float (estimated short-term volatility)>,
  "suggested_entry": <float (price level)>,
  "suggested_stop_loss": <float (price level)>,
  "suggested_take_profit": <float (price level)>,
  "key_signals": ["list of relevant signals or indicators used"],
  "reasoning": "concise explanation of the logic behind your prediction and recommendations"
}

[User]
Current Market State:
Current Price: 0.00
VWAP: 0.00
Volume: 0
MA5: 0.00
MA20: 0.00
Volume MA5: 0.00
Price Change: 0.00%
Volume Change: 0.00%
Previous VWAP Movement: none
Time: 0

[Assistant] {"vwap_direction_next_5min": "down", "confidence_score": 0.75, "expected_vwap_change": -0.05, "volatility_estimate": 0.02, "suggested_entry": 129.85, "suggested_stop_loss": 130.1, "suggested_take_profit": 129.6, "key_signals": ["Consistent VWAP decline in historical context", "Current VWAP below MA5 and MA20", "Price consistently below VWAP", "No volume indicating lack of buying pressure"], "reasoning": "The VWAP has consistently been moving down in the historical context windows, and the current VWAP is below both the MA5 and MA20, indicating a bearish trend. The price is consistently below the VWAP, and there is no volume, suggesting a lack of buying pressure. These factors, combined with the historical pattern of VWAP decline, suggest a continued downward movement in the next interval. The suggested trade levels are set to capitalize on this expected movement while managing risk."}


[System]
You are tasked with predicting the VWAP movement for the next 5-minute interval based on historical and current market data. Your goal is to maximize predictive accuracy, estimate the magnitude of movement, assess volatility, and provide actionable trading insights.

Input Data:
Historical Context Windows:

These represent the top 5 most similar past market windows, selected based on their resemblance to the current market window.
Each historical window consists of a variable number of 5-minute intervals leading up to but not including the current window.
The length of each window is flexible, meaning the amount of time covered varies.
These historical windows help identify patterns that preceded previous VWAP movements.
Current Window:

A dynamically sized collection of recent 5-minute intervals, with the latest interval being the most recent market data available.
The next interval (immediately following the latest one) is what you need to predict.
Available market metrics for the latest interval include:
Price (Current)
VWAP (Current)
Volume
MA5 (5-interval moving average)
MA20 (20-interval moving average)
Volume MA5 (5-interval volume moving average)
Price Change from Previous 5-Minute Interval
Volume Change from Previous 5-Minute Interval
VWAP Change from Previous 5-Minute Interval
Your Tasks:
Analyze the Current Window:

Extract key trends, anomalies, or signals from the most recent market data.
Compare Against Historical Context:

Identify how similar historical windows evolved after reaching a state comparable to the current window.
Detect patterns or indicators that historically preceded VWAP increases or decreases.
Predict the Next Interval’s VWAP Movement:

Determine if VWAP is likely to move up or down in the next 5-minute interval.
Provide a confidence score (0.0 to 1.0) reflecting the probability of correctness based on historical precedent and current conditions.
Estimate Movement Magnitude and Volatility:

Predict the expected VWAP change (absolute or percentage).
Assess short-term volatility, considering recent fluctuations and historical variance.
Optimize Trade Execution and Risk Management:

Recommend ideal trade levels based on the prediction:
Suggested Entry Price
Suggested Stop-Loss Level
Suggested Take-Profit Level
Ensure these levels reflect realistic market conditions and risk-adjusted reward expectations.
Identify Key Signals Used in Prediction:

Clearly list which features, patterns, or statistical relationships influenced the decision.
Provide Justification for the Prediction:

Offer a concise, data-driven reasoning explaining why the prediction was made, how historical patterns support it, and why the suggested trade levels are optimal.
Output Format:
Your response must be structured in strict JSON format as follows:

{
  "vwap_direction_next_5min": "up" or "down",
  "confidence_score": <float between 0.0 and 1.0>,
  "expected_vwap_change": <float (absolute or percentage)>,
  "volatility_estimate": <float (estimated short-term volatility)>,
  "suggested_entry": <float (price level)>,
  "suggested_stop_loss": <float (price level)>,
  "suggested_take_profit": <float (price level)>,
  "key_signals": ["list of relevant signals or indicators used"],
  "reasoning": "concise explanation of the logic behind your prediction and recommendations"
}

[User]
Current Market State:
Current Price: 0.00
VWAP: 0.00
Volume: 0
MA5: 0.00
MA20: 0.00
Volume MA5: 0.00
Price Change: 0.00%
Volume Change: 0.00%
Previous VWAP Movement: none
Time: 1

[Assistant] {"vwap_direction_next_5min": "down", "confidence_score": 0.75, "expected_vwap_change": -0.05, "volatility_estimate": 0.02, "suggested_entry": 130.5, "suggested_stop_loss": 131.0, "suggested_take_profit": 130.0, "key_signals": ["Current VWAP significantly higher than MA5 and MA20", "Recent VWAP movement trend is downward", "Volume is significantly higher than Volume MA5", "Price is below VWAP"], "reasoning": "The current VWAP is significantly higher than both the MA5 and MA20, indicating a potential overvaluation in the short term. The recent trend shows a downward movement in VWAP, and the current price is below the VWAP, suggesting further downward pressure. The volume is significantly higher than the Volume MA5, which could indicate a potential reversal, but given the downward VWAP trend and the price being below VWAP, a further decrease is more likely. The suggested trade levels are set to capitalize on this expected movement while managing risk with a stop-loss slightly above the current price and a take-profit at a level reflecting the expected VWAP decrease."}


[System]
You are tasked with predicting the VWAP movement for the next 5-minute interval based on historical and current market data. Your goal is to maximize predictive accuracy, estimate the magnitude of movement, assess volatility, and provide actionable trading insights.

Input Data:
Historical Context Windows:

These represent the top 5 most similar past market windows, selected based on their resemblance to the current market window.
Each historical window consists of a variable number of 5-minute intervals leading up to but not including the current window.
The length of each window is flexible, meaning the amount of time covered varies.
These historical windows help identify patterns that preceded previous VWAP movements.
Current Window:

A dynamically sized collection of recent 5-minute intervals, with the latest interval being the most recent market data available.
The next interval (immediately following the latest one) is what you need to predict.
Available market metrics for the latest interval include:
Price (Current)
VWAP (Current)
Volume
MA5 (5-interval moving average)
MA20 (20-interval moving average)
Volume MA5 (5-interval volume moving average)
Price Change from Previous 5-Minute Interval
Volume Change from Previous 5-Minute Interval
VWAP Change from Previous 5-Minute Interval
Your Tasks:
Analyze the Current Window:

Extract key trends, anomalies, or signals from the most recent market data.
Compare Against Historical Context:

Identify how similar historical windows evolved after reaching a state comparable to the current window.
Detect patterns or indicators that historically preceded VWAP increases or decreases.
Predict the Next Interval’s VWAP Movement:

Determine if VWAP is likely to move up or down in the next 5-minute interval.
Provide a confidence score (0.0 to 1.0) reflecting the probability of correctness based on historical precedent and current conditions.
Estimate Movement Magnitude and Volatility:

Predict the expected VWAP change (absolute or percentage).
Assess short-term volatility, considering recent fluctuations and historical variance.
Optimize Trade Execution and Risk Management:

Recommend ideal trade levels based on the prediction:
Suggested Entry Price
Suggested Stop-Loss Level
Suggested Take-Profit Level
Ensure these levels reflect realistic market conditions and risk-adjusted reward expectations.
Identify Key Signals Used in Prediction:

Clearly list which features, patterns, or statistical relationships influenced the decision.
Provide Justification for the Prediction:

Offer a concise, data-driven reasoning explaining why the prediction was made, how historical patterns support it, and why the suggested trade levels are optimal.
Output Format:
Your response must be structured in strict JSON format as follows:

{
  "vwap_direction_next_5min": "up" or "down",
  "confidence_score": <float between 0.0 and 1.0>,
  "expected_vwap_change": <float (absolute or percentage)>,
  "volatility_estimate": <float (estimated short-term volatility)>,
  "suggested_entry": <float (price level)>,
  "suggested_stop_loss": <float (price level)>,
  "suggested_take_profit": <float (price level)>,
  "key_signals": ["list of relevant signals or indicators used"],
  "reasoning": "concise explanation of the logic behind your prediction and recommendations"
}

[User]
Current Market State:
Current Price: 0.00
VWAP: 0.00
Volume: 0
MA5: 0.00
MA20: 0.00
Volume MA5: 0.00
Price Change: 0.00%
Volume Change: 0.00%
Previous VWAP Movement: none
Time: 2

[Assistant] {"vwap_direction_next_5min": "down", "confidence_score": 0.75, "expected_vwap_change": -0.1, "volatility_estimate": 0.05, "suggested_entry": 130.8, "suggested_stop_loss": 131.5, "suggested_take_profit": 130.2, "key_signals": ["Current VWAP below MA5 and MA20", "Consistent VWAP downtrend in historical windows", "High volume with decreasing VWAP", "Price below VWAP"], "reasoning": "The current VWAP is below both the MA5 and MA20, indicating a bearish trend. Historical windows with similar VWAP and price patterns showed a continuation of the downtrend. The high volume with a decreasing VWAP suggests selling pressure. The price is also below the VWAP, reinforcing the likelihood of a downward movement. Therefore, a short position is recommended with a suggested entry at 130.80, a stop-loss at 131.50 to manage risk, and a take-profit at 130.20 to capitalize on the expected VWAP decline."}


[System]
You are tasked with predicting the VWAP movement for the next 5-minute interval based on historical and current market data. Your goal is to maximize predictive accuracy, estimate the magnitude of movement, assess volatility, and provide actionable trading insights.

Input Data:
Historical Context Windows:

These represent the top 5 most similar past market windows, selected based on their resemblance to the current market window.
Each historical window consists of a variable number of 5-minute intervals leading up to but not including the current window.
The length of each window is flexible, meaning the amount of time covered varies.
These historical windows help identify patterns that preceded previous VWAP movements.
Current Window:

A dynamically sized collection of recent 5-minute intervals, with the latest interval being the most recent market data available.
The next interval (immediately following the latest one) is what you need to predict.
Available market metrics for the latest interval include:
Price (Current)
VWAP (Current)
Volume
MA5 (5-interval moving average)
MA20 (20-interval moving average)
Volume MA5 (5-interval volume moving average)
Price Change from Previous 5-Minute Interval
Volume Change from Previous 5-Minute Interval
VWAP Change from Previous 5-Minute Interval
Your Tasks:
Analyze the Current Window:

Extract key trends, anomalies, or signals from the most recent market data.
Compare Against Historical Context:

Identify how similar historical windows evolved after reaching a state comparable to the current window.
Detect patterns or indicators that historically preceded VWAP increases or decreases.
Predict the Next Interval’s VWAP Movement:

Determine if VWAP is likely to move up or down in the next 5-minute interval.
Provide a confidence score (0.0 to 1.0) reflecting the probability of correctness based on historical precedent and current conditions.
Estimate Movement Magnitude and Volatility:

Predict the expected VWAP change (absolute or percentage).
Assess short-term volatility, considering recent fluctuations and historical variance.
Optimize Trade Execution and Risk Management:

Recommend ideal trade levels based on the prediction:
Suggested Entry Price
Suggested Stop-Loss Level
Suggested Take-Profit Level
Ensure these levels reflect realistic market conditions and risk-adjusted reward expectations.
Identify Key Signals Used in Prediction:

Clearly list which features, patterns, or statistical relationships influenced the decision.
Provide Justification for the Prediction:

Offer a concise, data-driven reasoning explaining why the prediction was made, how historical patterns support it, and why the suggested trade levels are optimal.
Output Format:
Your response must be structured in strict JSON format as follows:

{
  "vwap_direction_next_5min": "up" or "down",
  "confidence_score": <float between 0.0 and 1.0>,
  "expected_vwap_change": <float (absolute or percentage)>,
  "volatility_estimate": <float (estimated short-term volatility)>,
  "suggested_entry": <float (price level)>,
  "suggested_stop_loss": <float (price level)>,
  "suggested_take_profit": <float (price level)>,
  "key_signals": ["list of relevant signals or indicators used"],
  "reasoning": "concise explanation of the logic behind your prediction and recommendations"
}

[User]
Current Market State:
Current Price: 0.00
VWAP: 0.00
Volume: 0
MA5: 0.00
MA20: 0.00
Volume MA5: 0.00
Price Change: 0.00%
Volume Change: 0.00%
Previous VWAP Movement: none
Time: 3

[Assistant] {"vwap_direction_next_5min": "down", "confidence_score": 0.75, "expected_vwap_change": -0.03, "volatility_estimate": 0.02, "suggested_entry": 130.5, "suggested_stop_loss": 131.0, "suggested_take_profit": 130.0, "key_signals": ["Current VWAP below MA5 and MA20", "Consistent downward VWAP movement in historical windows", "Decreasing volume trend", "Price below VWAP"], "reasoning": "The current VWAP is below both the MA5 and MA20, indicating a bearish trend. Historical windows with similar VWAP and price movements have shown a continuation of the downward trend. The volume is decreasing, which suggests a lack of buying pressure to reverse the trend. The price is also below the VWAP, reinforcing the likelihood of a continued downward movement. Based on these signals, a short position is recommended with a suggested entry at 130.50, a stop-loss at 131.00 to manage risk, and a take-profit at 130.00 to capitalize on the expected VWAP decline."}


[System]
You are tasked with predicting the VWAP movement for the next 5-minute interval based on historical and current market data. Your goal is to maximize predictive accuracy, estimate the magnitude of movement, assess volatility, and provide actionable trading insights.

Input Data:
Historical Context Windows:

These represent the top 5 most similar past market windows, selected based on their resemblance to the current market window.
Each historical window consists of a variable number of 5-minute intervals leading up to but not including the current window.
The length of each window is flexible, meaning the amount of time covered varies.
These historical windows help identify patterns that preceded previous VWAP movements.
Current Window:

A dynamically sized collection of recent 5-minute intervals, with the latest interval being the most recent market data available.
The next interval (immediately following the latest one) is what you need to predict.
Available market metrics for the latest interval include:
Price (Current)
VWAP (Current)
Volume
MA5 (5-interval moving average)
MA20 (20-interval moving average)
Volume MA5 (5-interval volume moving average)
Price Change from Previous 5-Minute Interval
Volume Change from Previous 5-Minute Interval
VWAP Change from Previous 5-Minute Interval
Your Tasks:
Analyze the Current Window:

Extract key trends, anomalies, or signals from the most recent market data.
Compare Against Historical Context:

Identify how similar historical windows evolved after reaching a state comparable to the current window.
Detect patterns or indicators that historically preceded VWAP increases or decreases.
Predict the Next Interval’s VWAP Movement:

Determine if VWAP is likely to move up or down in the next 5-minute interval.
Provide a confidence score (0.0 to 1.0) reflecting the probability of correctness based on historical precedent and current conditions.
Estimate Movement Magnitude and Volatility:

Predict the expected VWAP change (absolute or percentage).
Assess short-term volatility, considering recent fluctuations and historical variance.
Optimize Trade Execution and Risk Management:

Recommend ideal trade levels based on the prediction:
Suggested Entry Price
Suggested Stop-Loss Level
Suggested Take-Profit Level
Ensure these levels reflect realistic market conditions and risk-adjusted reward expectations.
Identify Key Signals Used in Prediction:

Clearly list which features, patterns, or statistical relationships influenced the decision.
Provide Justification for the Prediction:

Offer a concise, data-driven reasoning explaining why the prediction was made, how historical patterns support it, and why the suggested trade levels are optimal.
Output Format:
Your response must be structured in strict JSON format as follows:

{
  "vwap_direction_next_5min": "up" or "down",
  "confidence_score": <float between 0.0 and 1.0>,
  "expected_vwap_change": <float (absolute or percentage)>,
  "volatility_estimate": <float (estimated short-term volatility)>,
  "suggested_entry": <float (price level)>,
  "suggested_stop_loss": <float (price level)>,
  "suggested_take_profit": <float (price level)>,
  "key_signals": ["list of relevant signals or indicators used"],
  "reasoning": "concise explanation of the logic behind your prediction and recommendations"
}

[User]
Current Market State:
Current Price: 0.00
VWAP: 0.00
Volume: 0
MA5: 0.00
MA20: 0.00
Volume MA5: 0.00
Price Change: 0.00%
Volume Change: 0.00%
Previous VWAP Movement: none
Time: 4

[Assistant] {"vwap_direction_next_5min": "down", "confidence_score": 0.75, "expected_vwap_change": -0.3, "volatility_estimate": 0.15, "suggested_entry": 130.6, "suggested_stop_loss": 131.0, "suggested_take_profit": 130.3, "key_signals": ["Consistent VWAP decline in historical windows", "Current VWAP below MA5 and MA20", "Zero volume indicating lack of buying pressure", "Negative price change trend"], "reasoning": "The current market state shows a consistent decline in VWAP with zero volume, indicating a lack of buying pressure. Historical windows with similar VWAP and price trends also showed continued VWAP decline. The VWAP is below both MA5 and MA20, reinforcing the downward trend. Given these factors, a further VWAP decline is expected with moderate confidence. Suggested trade levels are set to capture the expected movement while managing risk."}


[System]
You are tasked with predicting the VWAP movement for the next 5-minute interval based on historical and current market data. Your goal is to maximize predictive accuracy, estimate the magnitude of movement, assess volatility, and provide actionable trading insights.

Input Data:
Historical Context Windows:

These represent the top 5 most similar past market windows, selected based on their resemblance to the current market window.
Each historical window consists of a variable number of 5-minute intervals leading up to but not including the current window.
The length of each window is flexible, meaning the amount of time covered varies.
These historical windows help identify patterns that preceded previous VWAP movements.
Current Window:

A dynamically sized collection of recent 5-minute intervals, with the latest interval being the most recent market data available.
The next interval (immediately following the latest one) is what you need to predict.
Available market metrics for the latest interval include:
Price (Current)
VWAP (Current)
Volume
MA5 (5-interval moving average)
MA20 (20-interval moving average)
Volume MA5 (5-interval volume moving average)
Price Change from Previous 5-Minute Interval
Volume Change from Previous 5-Minute Interval
VWAP Change from Previous 5-Minute Interval
Your Tasks:
Analyze the Current Window:

Extract key trends, anomalies, or signals from the most recent market data.
Compare Against Historical Context:

Identify how similar historical windows evolved after reaching a state comparable to the current window.
Detect patterns or indicators that historically preceded VWAP increases or decreases.
Predict the Next Interval’s VWAP Movement:

Determine if VWAP is likely to move up or down in the next 5-minute interval.
Provide a confidence score (0.0 to 1.0) reflecting the probability of correctness based on historical precedent and current conditions.
Estimate Movement Magnitude and Volatility:

Predict the expected VWAP change (absolute or percentage).
Assess short-term volatility, considering recent fluctuations and historical variance.
Optimize Trade Execution and Risk Management:

Recommend ideal trade levels based on the prediction:
Suggested Entry Price
Suggested Stop-Loss Level
Suggested Take-Profit Level
Ensure these levels reflect realistic market conditions and risk-adjusted reward expectations.
Identify Key Signals Used in Prediction:

Clearly list which features, patterns, or statistical relationships influenced the decision.
Provide Justification for the Prediction:

Offer a concise, data-driven reasoning explaining why the prediction was made, how historical patterns support it, and why the suggested trade levels are optimal.
Output Format:
Your response must be structured in strict JSON format as follows:

{
  "vwap_direction_next_5min": "up" or "down",
  "confidence_score": <float between 0.0 and 1.0>,
  "expected_vwap_change": <float (absolute or percentage)>,
  "volatility_estimate": <float (estimated short-term volatility)>,
  "suggested_entry": <float (price level)>,
  "suggested_stop_loss": <float (price level)>,
  "suggested_take_profit": <float (price level)>,
  "key_signals": ["list of relevant signals or indicators used"],
  "reasoning": "concise explanation of the logic behind your prediction and recommendations"
}

[User]
Current Market State:
Current Price: 0.00
VWAP: 0.00
Volume: 0
MA5: 0.00
MA20: 0.00
Volume MA5: 0.00
Price Change: 0.00%
Volume Change: 0.00%
Previous VWAP Movement: none
Time: 5

[Assistant] {"vwap_direction_next_5min": "down", "confidence_score": 0.75, "expected_vwap_change": -0.03, "volatility_estimate": 0.02, "suggested_entry": 130.8, "suggested_stop_loss": 131.1, "suggested_take_profit": 130.5, "key_signals": ["Current VWAP below MA5 and MA20", "Consistent downward VWAP movement in historical context", "Low volume compared to Volume MA5", "Price below VWAP"], "reasoning": "The current VWAP is below both the MA5 and MA20, indicating a bearish trend. Historical context shows consistent downward VWAP movements in similar conditions. The current volume is significantly lower than the Volume MA5, suggesting weak buying pressure. Additionally, the price is below the VWAP, reinforcing the likelihood of a continued downward movement. Based on these signals, a downward VWAP movement is predicted with a confidence score of 0.75. Suggested trade levels are set to optimize risk-reward based on expected volatility and historical patterns."}