Prove 50%+ Signal Accuracy in 14 Days Before Risking Capital
2-4 hours daily analyzing markets, reading news, tracking positions. Unsustainable for full-time professionals.
Fear, greed, revenge trading. Human psychology works against profitable trading decisions.
Traditional algo trading: Spend $50K+ building a full system, then discover it doesn't work.
Validate before you invest
Spend $50K+ building full system ā deploy ā hope it works ā potentially lose trading capital finding out it doesn't
Spend $5K-7K validating signals ā prove accuracy ā only then risk trading capital
"After 14 days of Phase 0 validation, the AI achieved 61.9% signal accuracy on inverse oil ETFs - exceeding the 50% threshold. Cost: $6,500. Decision: Proceed to Phase 1 with confidence."
11 comprehensive tests verify data is real - not AI hallucinations
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UNIT TEST: Reddit Public API Connection
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Testing 3 subreddits...
ā PASS: r/wallstreetbets - 10 posts fetched
Top post: "Daily Discussion Thread for October 24, 2025..." (Score: 183)
ā PASS: r/stocks - 10 posts fetched
Top post: "Rate My Portfolio - r/Stocks Quarterly Thread Sept..." (Score: 19)
ā PASS: r/EnergyTrading - 10 posts fetched
Top post: "Community Introduction/Prospectus..." (Score: 15)
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TEST RESULTS
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Subreddits tested: 3
Passed: 3
Failed: 0
Total posts fetched: 30
ā ALL TESTS PASSED - Reddit API connection is working!Interactive demo scenarios
User runs: /morning-analysis
āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā ā MORNING MARKET ANALYSIS - Oct 24, 2025 ā āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā OIL MARKET SNAPSHOT - WTI Crude: $72.50 (-1.2% overnight) - EIA Inventory: Released Wed, showed 5M barrel drawdown - Geopolitical: Middle East tensions easing after diplomatic breakthrough - Interpretation: Bearish for oil ā Bullish for inverse oil ETFs INVERSE ETF POSITIONS - SCO: Currently $47.80 (up 2.1% pre-market) - DRIP: Currently $12.45 (up 3.8% pre-market) AI SIGNALS āāāāāāāāāā¬āāāāāāā¬āāāāāāāāāāāāā¬āāāāāāāāā¬āāāāāāāāāāāāāāāāāāāāāāāāāāāāā ā Symbol ā Sig ā Confidence ā Entry ā Reasoning ā āāāāāāāāāā¼āāāāāāā¼āāāāāāāāāāāāā¼āāāāāāāāā¼āāāāāāāāāāāāāāāāāāāāāāāāāāāāā¤ ā SCO ā BUY ā 72% ā $47.80 ā Inventory drawdown + tech ā ā NVDA ā HOLD ā 55% ā -- ā Wait for earnings clarity ā ā SOL ā SELL ā 68% ā $28.50 ā Overbought, take profits ā āāāāāāāāāā“āāāāāāā“āāāāāāāāāāāāā“āāāāāāāāā“āāāāāāāāāāāāāāāāāāāāāāāāāāāāā AGENT CONSENSUS: 2/3 agents recommend BUY for SCO RECOMMENDATION: ā Execute BUY order for SCO Entry: $47.80 Position size: 13 shares ($622 total) Stop-loss: $43.02 (10% below) Target: $52.58 (10% above) Risk: $62 (2% of portfolio)
User runs: /portfolio-status
āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā ā PORTFOLIO STATUS - 12:30 EST ā āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā TOTAL VALUE: $3,145.67 (+4.9% from start) CASH: $300.00 P&L TODAY: +$78.45 (+2.5%) OPEN POSITIONS āāāāāāāāāā¬āāāāāāā¬āāāāāāāāā¬āāāāāāāāāā¬āāāāāāāāā¬āāāāāāāāā¬āāāāāāāāāā ā Symbol ā Qty ā Entry ā Current ā Change ā P&L ā Days ā āāāāāāāāāā¼āāāāāāā¼āāāāāāāāā¼āāāāāāāāāā¼āāāāāāāāā¼āāāāāāāāā¼āāāāāāāāāā¤ ā SCO ā 13 ā $47.80 ā $49.20 ā +2.9% ā +$18.20ā 2 ā ā NVDA ā 2 ā $485 ā $492.30 ā +1.5% ā +$14.60ā 7 ā ā SOL ā 5 ā $28.50 ā $30.20 ā +6.0% ā +$8.50 ā 3 ā āāāāāāāāāā“āāāāāāā“āāāāāāāāā“āāāāāāāāāā“āāāāāāāāā“āāāāāāāāā“āāāāāāāāāā RISK METRICS - Allocation: Oil 58% | Stocks 24% | Crypto 11% | Cash 7% ā - Max Position: 21% (within 30% limit) ā - Daily Loss: +$78.45 (well below $150 limit) ā - Circuit Breaker Status: š¢ GREEN - All systems normal ALERTS: None
User runs: /check-signals
āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā ā SIGNAL VALIDATION REPORT - 14 Days ā āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā ACCURACY METRICS - Signals analyzed: 42 - Correct predictions: 26 - Incorrect predictions: 16 - Overall accuracy: 61.9% ā (Target: ā„50%) BY SIGNAL TYPE - BUY signals: 18 total, 12 correct (66.7%) - SELL signals: 15 total, 9 correct (60.0%) - HOLD signals: 9 total, 5 correct (55.6%) BY ASSET CLASS - Inverse Oil ETFs: 68.4% accuracy (13/19) š„ - Momentum Stocks: 58.3% accuracy (7/12) - Cryptocurrency: 54.5% accuracy (6/11) BEST PERFORMING AGENT - Market Sentinel: 72% accuracy (oil-focused) - Quant Signals: 61% accuracy - Sentiment Radar: 54% accuracy PHASE 0 STATUS: ā PASSED - Achieved 61.9% accuracy (target: ā„50%) - Ready to proceed to Phase 1 (Manual Trading) - Recommendation: Continue validation for 30 days to build confidence
5 AI agents working in consensus - wisdom of the crowd
Analyzes oil inventory, production, geopolitical news, and energy sector trends.
Technical indicators: RSI, MACD, ATR, Bollinger Bands, volume analysis.
Social media and news sentiment from Reddit, Twitter, Google News.
Risk management: position sizing, stop-losses, circuit breakers, drawdown limits.
Plain English explanations, trade rationale, portfolio reports, Q&A support.
$3,000 starting capital
Only proceed to next phase if previous phase succeeds
11 comprehensive tests verify data is real, not AI hallucinations. Trading on authentic market data you can independently verify.
Not a single AI making all decisions. 5 specialized agents working together, requiring 2/3 or 5/9 consensus for trades.
Phase 0 costs $5K-7K to validate before risking capital. Traditional approach: $50K+ build then discover it doesn't work.
Unique strategy: profit when oil drops. Real diversification from typical long-only portfolios.
100% free data sources (Yahoo Finance, Reddit, Google News). Monthly operating cost <$50. Institutional-grade research at zero cost.
Not a black box. Every signal includes reasoning, confidence scores, and risk parameters. You approve every trade.
Not initially. Phase 0-1 requires manual review and execution. You approve every trade. Automation only comes in Phase 4+ after proving profitability. This de-risks the approach.
$3,000 recommended. You can start with $1,000 but position sizing becomes challenging. Ideal range: $3K-10K to properly diversify and maintain proper risk management (2% per trade).
No. All interactions are via simple slash commands like /morning-analysis. No coding required. The system is built to be user-friendly for non-technical traders.
Stop-losses protect against major losses (max 2% risk per trade = $60). Circuit breakers halt trading after $150 daily loss or 15% drawdown. Multiple layers of risk management are built-in.
Diversification: Most portfolios are long-only. Inverse = profit when oil drops.
Predictable data: Free EIA weekly inventory reports + geopolitical catalysts.
High volatility edge: Leveraged ETFs (2x-3x) amplify moves for profit opportunities.
Multi-agent consensus (not single AI) ā¢ Real-time data integration (not static conversations) ā¢ Risk management built-in (position sizing, stop-losses, circuit breakers) ā¢ Trade logging and performance tracking ā¢ Data authenticity verification (11 tests prove data is real)
Phase 0 targets ā„50% signal accuracy. Real results vary by market conditions. In our example validation, we achieved 61.9% accuracy. Important: Past performance ā future results. This is high-risk trading, not guaranteed income.
If accuracy <50%, we stop and analyze failures. You've spent $5K-7K to learn the AI doesn't work - before risking $50K+ on full build or losing trading capital. This is the entire point of Phase 0: validate cheaply before scaling.
Yes! The system is modular. After proving success with oil, you can add agents for stocks, crypto, forex, commodities, etc. Phase 0 focuses on oil because it has predictable supply/demand data and free government reports (EIA).
Trading involves substantial risk of loss. Past performance is not indicative of future results. This AI system does not guarantee profits. You may lose some or all of your invested capital.
Not financial advice. This system provides educational and informational content only. Consult a licensed financial advisor before making investment decisions.
No guarantees. The 61.9% accuracy achieved in our example validation is historical and not guaranteed to continue. Market conditions change. AI models can be wrong.
You are responsible for all trading decisions. The AI provides signals and analysis, but you approve every trade. You accept all risks associated with trading.
Start with Phase 0 - prove ā„50% accuracy in 14 days before risking capital