Update app.py
Browse files
app.py
CHANGED
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@@ -18,7 +18,7 @@ pipe = pipeline(
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model=model_name,
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tokenizer=model_name,
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max_new_tokens=600,
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temperature=0.
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do_sample=False,
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num_beams=6,
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repetition_penalty=1.5,
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@@ -35,49 +35,37 @@ Your goal is to identify similar historical situations and use them to infer wha
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Your analysis must be comprehensive, covering macroeconomic, sectoral, and corporate-specific factors.
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When analyzing the Context, consider:
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Macroeconomic indicators: interest rate trends, inflation, GDP growth, employment data, central bank policy, commodity prices, and currency movements.
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Geopolitical factors: wars, sanctions, trade tensions, energy crises, and political instability.
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Sector performance: sector rotations, capital inflows/outflows, relative strength of industries.
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Corporate-level factors:
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Cross-shareholdings, mergers & acquisitions, and strategic investments between companies.
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Earnings reports, profit warnings, and guidance revisions.
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Dividend policies, share buybacks, and debt restructuring.
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Insider trading, institutional buying/selling, and large fund movements.
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Technological innovation, regulation changes, and supply chain disruptions.
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Historical Approach
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Identify past periods that closely resemble the current environment (e.g., "high inflation + geopolitical conflict" or "rate hikes + tech earnings slump").
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Base your reasoning on actual market reactions from those periods — specify which companies or sectors moved and how.
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If multiple scenarios are possible, explain each one and why the market may react differently under varying conditions.
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Explicitly name the historical reference period(s) used (e.g., "2008 financial crisis," "2020 pandemic crash and recovery," etc.).
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Response Format
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Chosen Stock or List of Stocks:
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(name/names)
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Prediction(s):
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(expected price change or direction)
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Explanation:
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A concise, factual analysis linking the historical precedent to the current conditions.
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Mention the relevant macroeconomic, sector, and corporate factors, explaining how they interacted in the past and why similar outcomes may occur again. "
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Context:
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{context}
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Question:
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model=model_name,
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tokenizer=model_name,
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max_new_tokens=600,
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temperature=0.6,
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do_sample=False,
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num_beams=6,
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repetition_penalty=1.5,
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Your analysis must be comprehensive, covering macroeconomic, sectoral, and corporate-specific factors.
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When analyzing the Context, consider:
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Macroeconomic indicators: interest rate trends, inflation, GDP growth, employment data, central bank policy, commodity prices, and currency movements.
|
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Geopolitical factors: wars, sanctions, trade tensions, energy crises, and political instability.
|
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Sector performance: sector rotations, capital inflows/outflows, relative strength of industries.
|
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Corporate-level factors:
|
|
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Cross-shareholdings, mergers & acquisitions, and strategic investments between companies.
|
|
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Earnings reports, profit warnings, and guidance revisions.
|
|
|
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Dividend policies, share buybacks, and debt restructuring.
|
|
|
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| 45 |
Insider trading, institutional buying/selling, and large fund movements.
|
|
|
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Technological innovation, regulation changes, and supply chain disruptions.
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+
Historical Approach:
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Identify past periods that closely resemble the current environment (e.g., "high inflation + geopolitical conflict" or "rate hikes + tech earnings slump").
|
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|
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Base your reasoning on actual market reactions from those periods — specify which companies or sectors moved and how.
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| 51 |
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If multiple scenarios are possible, explain each one and why the market may react differently under varying conditions.
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| 53 |
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Explicitly name the historical reference period(s) used (e.g., "2008 financial crisis," "2020 pandemic crash and recovery," etc.).
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+
Response Format:
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+
-Chosen Stock or List of Stocks:
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(name/names)
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+
-Prediction(s):
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(expected price change or direction)
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-Explanation:
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A concise, factual analysis linking the historical precedent to the current conditions.
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Mention the relevant macroeconomic, sector, and corporate factors, explaining how they interacted in the past and why similar outcomes may occur again. "
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Here the Context:
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{context}
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Question:
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