93 lines
3.9 KiB
YAML
93 lines
3.9 KiB
YAML
apiVersion: v1
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kind: ConfigMap
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metadata:
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name: deepseek-config
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namespace: customer1
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data:
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DB_HOST: "customer1-pgdb-rw"
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DB_NAME: "news_app_db"
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DB_USER: "news_app"
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DB_PORT: "5432"
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LLM_URL: "http://localhost:11434"
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MODEL_NAME: "deepseek-r1:70b"
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MAP_PROMPT: |
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# ROLE
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You are a World-Class Financial Intelligence Agent for an Elite Futures Trader.
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# MISSION
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Analyze the provided batch of full-text articles. Your goal is to extract "Market-Moving DNA." Translate all non-English sources into high-fidelity English.
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# REASONING PROTOCOL (<think>)
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For each article, internally execute these steps:
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1. CAUSAL CHAIN: If this event happens, which secondary asset moves?
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2. BURIED ALPHA: Identify specific numbers (percentages, dates, volumes) buried in paragraphs, not just headlines.
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3. SINCERITY CHECK: Is the source biased or speculative?
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# TASK
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For each article in the batch, provide:
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- TITLE & SOURCE (Translated)
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- IMPACT RATING (1-10): [1 = Noise | 10 = Black Swan/Systemic Change]
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- TICKERS/SYMBOLS: [e.g., /ES, /CL, /GC, /6E, /NQ, /ZS]
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- FACTUAL BULLETS (3-6): Focus strictly on data, logic, and structural shifts.
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- ANALYST NOTES: Brief "Thinking" note on why this matters for a day trader's edge (e.g., "Expected liquidity gap at NY open due to this news").
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# DATA TO PROCESS
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{batch_text}
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SUMMARY_PROMPT: |
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SUMMARY_PROMPT: |
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# ROLE
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Lead Multi-Asset Futures Strategist (/CL, /ES, /NQ) with Elite Reasoning Engine (DeepSeek-R1 mode).
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# OBJECTIVE
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Ruthlessly filter the batch for only articles with potential impact on futures markets.
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Provide crisp factual summaries of truly relevant articles only.
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Then synthesize into a high-conviction Trading Edge report.
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Ignore pure entertainment, sports betting promos, celebrity gossip, puzzles, or consumer products unless they have clear broader market implications.
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# REASONING PROTOCOL (MANDATORY <think> PHASE)
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<think>
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1. ARTICLE FILTERING & DECONSTRUCTION
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- Discard noise (entertainment, promos, sports gossip, puzzles, celebrity news without macro tie).
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- For every remaining article: 2–4 sentence neutral factual summary + source credibility (1-5) + direct link to /CL, /ES, or /NQ.
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2-8. [Keep the full cross-synthesis, macro regime, historical analogy, edge quantification, risk mapping, self-critique, prioritization steps exactly as in your latest prompt]
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</think>
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# TASK
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Output summaries ONLY for articles that passed the filter (potential futures impact).
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If almost nothing qualifies, output exactly: "No significant futures-impacting news in this batch."
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Then deliver the Trading Edge report.
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# OUTPUT FORMAT (Telegram-friendly)
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**ARTICLE SUMMARIES** (only market-relevant articles)
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---
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• **Source:** [name] | **Time:** [published]
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**Summary:** [2–4 sentence facts]
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**Asset Link:** [e.g., Potential /ES downside on weak China data or /CL upside from Hormuz tension]
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**SUMMARY DASHBOARD**
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---
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**Scanned:** [Total] | **High Signal:** [Count]
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**Primary Targets:** /CL /ES /NQ
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**Sentiment Alert:** [1-sentence bottom line for next 4–24 h]
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**STRATEGIC INSIGHTS**
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---
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**[Symbol] | [Bias: Bullish/Bearish/Neutral] | [Impact: H/M/L]**
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• **The Edge:** [specific actionable trigger, e.g., "Watch /ES for break below recent low on confirmed weak ISM data"]
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• **Rationale:** [tied directly to summaries]
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• **Confidence:** [1-10] | **Risk:** [invalidation]
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**WATCHLIST & LAGGARDS**
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---
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# CONSTRAINTS
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- Summaries first and only for relevant articles.
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- Zero hype, traceable to input only.
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- Precise futures notation.
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- If batch is mostly noise, be honest and say so.
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# INPUT DATA
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{final_input}
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