๐ Trade Verification History
Showcase how you can publish trade performance with full transparency to build trust.
๐ Example Trade Table
๐ฏ How to Use This Feature
- Post your real trade history from the main dashboard to social media
- Build credibility by showing actual wins AND losses transparently
- Let your audience verify that the ML signals are generating consistent results
- Update regularly (weekly/monthly) to show ongoing performance
10
Trades
7
Wins
3
Losses
70%
Win Rate
+2.8%
Avg P&L
| # | Date | Signal | Entry | Exit | Result | P&L |
|---|---|---|---|---|---|---|
| 10 | 2025-12-20 | BULLISH | 72.45 | 74.12 | โ WIN | +2.31% |
| 9 | 2025-12-12 | BEARISH | 73.80 | 72.15 | โ WIN | +2.24% |
| 8 | 2025-12-05 | BULLISH | 71.20 | 70.85 | โ LOSS | -0.49% |
| 7 | 2025-11-28 | BULLISH | 69.55 | 72.30 | โ WIN | +3.95% |
| 6 | 2025-11-20 | BEARISH | 71.90 | 69.45 | โ WIN | +3.41% |
| 5 | 2025-11-12 | BULLISH | 68.75 | 71.20 | โ WIN | +3.56% |
| 4 | 2025-11-05 | BEARISH | 70.10 | 71.50 | โ LOSS | -2.00% |
| 3 | 2025-10-28 | BULLISH | 67.90 | 70.45 | โ WIN | +3.76% |
| 2 | 2025-10-20 | BULLISH | 66.50 | 65.80 | โ LOSS | -1.05% |
| 1 | 2025-10-12 | BEARISH | 68.20 | 66.35 | โ WIN | +2.71% |
๐ก Pro Tip: Always show your actual data from the main dashboard. Transparency builds trust - even showing losses proves your system is real!
๐ฌ Replay Showcase
Animated visualization of ML predictions over time. Perfect for video content and demonstrations.
Live Replay Preview
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Speed:
๐ฎ Forecast Tail: The dotted line shows where ML predicted the price would go from each point.
Watch how predictions align with actual price movements!
๐ฅ Health Check Showcase
See how the Health Check identifies issues and guides users to improve their ensemble.
๐ Health Check Scenarios
๐ฏ How to Use This Feature
- The Health Check automatically diagnoses your ensemble's weaknesses
- It shows exactly which horizons need more models
- Detects bias problems (too bullish or bearish)
- Gives actionable recommendations to improve
85
โ
EXCELLENT - Healthy Ensemble
62% accuracy โข +12% edge โข 8 horizons โข Balanced signals
D+1 โ 12 models
D+3 โ 10 models
D+5 โ 8 models
D+8 โ 6 models
D+10 โ 5 models
๐ Signals: 45 Bullish โข 38 Bearish โข 12 Neutral โ Well balanced!
52
โ ๏ธ NEEDS WORK - Missing Horizons
55% accuracy โข +5% edge โข Only 3 horizons covered
D+1 โ 5 models
D+3 โ 3 models
D+5 โ missing
D+8 โ missing
D+10 โ 2 models
๐ก Recommendation: Build models for D+5 and D+8 horizons to improve coverage
45
โ ๏ธ BIAS DETECTED - Too Bullish
51% accuracy โข +1% edge โข Extreme bullish bias
D+1 โ 4 models
D+5 โ 3 models
D+10 โ 3 models
๐ Signals: 89 Bullish โข 3 Bearish โข 8 Neutral โ 96% bullish bias!
๐ก Recommendation: Build contrarian models that can predict bearish moves to balance the ensemble
38
โ ๏ธ NO ENSEMBLE - Single Models
48% accuracy โข -2% edge โข No ensemble "magic"
D+1 โ ๏ธ 1 model
D+3 โ ๏ธ 1 model
D+5 โ ๏ธ 1 model
D+8 โ ๏ธ 1 model
๐ก Recommendation: With only 1 model per horizon, there's no ensemble diversity. Build at least 3-5 models per horizon for the "wisdom of crowds" effect
22
โ CRITICAL - Urgent Attention Needed
42% accuracy โข -8% edge โข Multiple issues detected
D+1 โ ๏ธ 1 model
D+3 โ missing
D+5 โ missing
๐ Signals: 95 Bullish โข 0 Bearish โ 100% bullish, can't predict downturns!
๐จ Urgent: This ensemble is underperforming random chance. Rebuild with more diverse models across all horizons.
๐ก KEY MARKETING POINTS
- Automatic Diagnosis: No guesswork - know exactly what's wrong
- Actionable: Clear recommendations for improvement
- Multi-Factor: Checks coverage, bias, model count, accuracy
- Transparent: See the score calculation and reasoning
โฑ๏ธ Optimal Holding Period Feature
Showcase how multi-factor optimization finds the best holding periods - not just accuracy alone.
๐ Example: TOP 3 Holding Periods
๐ฏ How to Use This Feature
- Show your audience that you don't just pick the highest accuracy
- Explain the composite score balances multiple risk factors
- Market the TOP 3 periods to show thorough analysis
- Different assets have different optimal periods - emphasize personalization
๐ Composite Score Formula
Score = Expectancy ร โAccuracy ร (1 / (1 + MaxDD)) ร โProfitFactor ร 100
This balances โ Returns with โ Risk - high accuracy with huge drawdowns won't win.
๐ฅ
10 days
Score: 486
78.4% Acc โข +2.9% Exp
๐ฅ
13 days
Score: 455
75.7% Acc โข +3.0% Exp
๐ฅ
15 days
Score: 430
74.0% Acc โข +3.0% Exp
๐ก KEY MARKETING POINTS
- Personalized: Each asset gets its own optimal period
- Rigorous: Tests 1-30 day periods exhaustively
- Risk-Aware: Drawdown matters as much as accuracy
- Transparent: Shows all 3 top options, not just one
๐ RSI Filter Advantages
Promote the optional RSI filtering layer. Show how it can improve signal quality.
RSI Filter Analysis for Asset
๐ก๏ธ An Extra Layer of Caution
The RSI filter adds market condition awareness to your ML signals. It suppresses bullish predictions when the market is already overbought (RSI > 70) and bearish predictions when oversold (RSI < 30). This means fewer signals, but potentially more prudent ones.
RSI FILTER OFF
--
Accuracy
--
Total Signals
RSI FILTER ON
--
Accuracy
--
Total Signals
๐
Signal Reduction: --
RSI filter suppresses signals at market extremes, reducing total count but adding prudence
HOW IT WORKS
RSI > 70
Market overbought โ Bullish signals suppressed
RSI < 30
Market oversold โ Bearish signals suppressed
30-70
Normal range โ All signals pass through
๐ก KEY INSIGHT
RSI filtering works differently for each asset. Some see accuracy improvements, others don't. That's why we made it a toggle - you control when to add this extra layer of caution.
๐ง Daily Email Alert Preview
Unified daily summary email across ALL tracked assets. Analytical content only - no trading recommendations.
๐ฑ Social Media Content
Unified daily summary across all assets with platform-optimized messaging. No trading advice - purely analytical.