docs: Add 1-minute webhook flooding analysis and solution
CRITICAL: TradingView skipping 5-minute trading signals due to 1-minute alert flood Root Cause: - 1-minute alerts fire 180 times/hour (60/hr × 3 symbols) - TradingView has undocumented webhook rate limiting - High-frequency alerts cause lower-frequency alerts to be dropped - 2 confirmed incidents of missed 5-minute trading signals Impact: - Missed real trading opportunities (revenue loss) - 5-minute signals are PRIMARY income source - 1-minute data collection provides ZERO actual value Analysis Shows 1-Minute Data Unnecessary: - Smart Entry Timer: Uses signal data (not cache) - Position Manager: Uses Pyth WebSocket (not cache) - Quality scoring: Uses signal data (not cache) - Adaptive trailing: Uses signal ADX (not cache) - Market data cache updates are vestigial Solution: - PAUSE all 1-minute TradingView alerts (SOL/ETH/BTC) - 83% reduction in webhook load (180/hr → 36/hr) - 5-minute signals will arrive consistently - No functionality loss (all systems use signal data or Pyth) Files Changed: - docs/1MIN_SIGNAL_OPTIMIZATION.md - Full analysis and implementation guide - .github/copilot-instructions.md - Added Common Pitfall #1 (webhook flooding) Next Steps: 1. Pause 3 1-minute alerts in TradingView (immediate) 2. Monitor 5-minute signal delivery for 24 hours 3. Archive BlockedSignal timeframe='1' data (optional cleanup) See: docs/1MIN_SIGNAL_OPTIMIZATION.md for complete analysis
This commit is contained in:
mindesbunister
31
.github/copilot-instructions.md
vendored
31
.github/copilot-instructions.md
vendored
@@ -2674,7 +2674,36 @@ ORDER BY MIN(adx) DESC;
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## Common Pitfalls
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1. **DRIFT SDK MEMORY LEAK (CRITICAL - Fixed Nov 15, 2025, Enhanced Nov 24, 2025):**
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1. **TRADINGVIEW WEBHOOK FLOODING (CRITICAL - Discovered Dec 4, 2025):**
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- **Symptom:** 5-minute trading signals randomly skipped by TradingView, causing missed trade opportunities
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- **Root Cause:** 1-minute data collection alerts fire 180 times/hour, overwhelming TradingView webhook delivery system
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- **Mechanism:** TradingView has undocumented rate limiting - high-frequency alerts cause lower-frequency alerts to be dropped
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- **Real Incidents:** 2 confirmed cases of 5-minute signals not sent due to 1-minute alert flood
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- **Impact:** CRITICAL - Primary trading signals (revenue source) being blocked by non-essential data collection
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- **Analysis:** 1-minute data provides ZERO value:
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* Smart Entry Timer uses signal data (not cache)
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* Position Manager uses Pyth WebSocket (not cache)
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* Quality scoring uses signal data (not cache)
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* Adaptive trailing uses signal ADX (not cache)
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* Market data cache updates are vestigial from early development
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- **Solution:** Pause/delete all 1-minute TradingView alerts:
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```bash
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# In TradingView:
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# 1. Find "SOL-PERP 1min Data Feed" alert → Pause or Delete
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# 2. Find "ETH-PERP 1min Data Feed" alert → Pause or Delete
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# 3. Find "BTC-PERP 1min Data Feed" alert → Pause or Delete
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```
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- **Expected result:** 180 webhooks/hour → 36 webhooks/hour (83% reduction), 5-minute signals arrive consistently
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- **Alternative (if 1-minute trading needed):** Create separate lightweight webhook with strong filters, minimal payload
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- **Database cleanup:** ~1,408 BlockedSignal records/day can be archived or deleted (10 MB/day savings)
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- **Files affected:**
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* `workflows/trading/moneyline_1min_data_feed.pinescript` - Mark as deprecated
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* `docs/1MIN_SIGNAL_OPTIMIZATION.md` - Full analysis and solution
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* `docs/1MIN_DATA_COLLECTION_SIMPLE.md` - Add warning about webhook flooding
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- **Lesson:** High-frequency webhooks (60+/hour) interfere with TradingView's delivery of lower-frequency webhooks. Always test webhook delivery under load before deploying to production.
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- **Git commit:** "fix: Pause 1-minute alerts to prevent TradingView webhook flooding (2 missed 5-min signals)"
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2. **DRIFT SDK MEMORY LEAK (CRITICAL - Fixed Nov 15, 2025, Enhanced Nov 24, 2025):**
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- **Symptom:** JavaScript heap out of memory after 10+ hours runtime, Telegram bot timeouts (60s)
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- **Root Cause:** Drift SDK accumulates WebSocket subscriptions over time without cleanup
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- **Manifestation:** Thousands of `accountUnsubscribe error: readyState was 2 (CLOSING)` in logs
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402
docs/1MIN_SIGNAL_OPTIMIZATION.md
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402
docs/1MIN_SIGNAL_OPTIMIZATION.md
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@@ -0,0 +1,402 @@
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# 1-Minute Signal Optimization & TradingView Webhook Flooding Fix
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**Date:** December 4, 2025
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**Problem:** 1-minute signals flooding TradingView webhook, causing 5-minute trading signals to be skipped
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**Impact:** CRITICAL - Missed real trading opportunities (2 incidents confirmed)
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---
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## Root Cause Analysis
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### Current System Behavior
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**1-Minute Data Collection:**
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- Frequency: 60 signals/hour per symbol = 180 signals/hour total (SOL/ETH/BTC)
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- Payload size: Full indicator data (ATR, ADX, RSI, VOL, POS, MAGAP, IND, price)
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- Purpose: Market data cache updates + BlockedSignal table analysis
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- Database: ~1,408 records per 24 hours (confirmed via SQL query)
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**5-Minute Trading Signals:**
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- Frequency: 12 signals/hour per symbol max = 36 signals/hour total
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- Purpose: Execute real trades (primary revenue source)
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- Problem: **Getting skipped when 1-minute flood overwhelms TradingView webhook**
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### TradingView Webhook Rate Limiting
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TradingView alerts have undocumented rate limiting on webhook delivery:
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- **Symptom:** When multiple alerts fire rapidly, some webhooks get dropped
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- **Pattern:** High-frequency alerts (1-minute) cause lower-frequency alerts (5-minute) to be skipped
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- **Impact:** Trading signals lost = missed trades = missed profits
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### Why 1-Minute Signals Are Excessive
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**Current usage vs actual needs:**
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| Data Point | Current Frequency | Actually Needed For | Optimal Frequency |
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|------------|-------------------|---------------------|-------------------|
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| ATR | Every 1 minute | Smart Entry validation, trailing stops | Every 5 minutes |
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| ADX | Every 1 minute | Runner SL, adaptive trailing | Every 5 minutes |
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| RSI | Every 1 minute | Quality scoring (5min signals only) | Every 5 minutes |
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| Volume | Every 1 minute | Quality scoring (5min signals only) | Every 5 minutes |
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| Price Position | Every 1 minute | Quality scoring (5min signals only) | Every 5 minutes |
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| MA Gap | Every 1 minute | V9 indicator scoring | Every 5 minutes |
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**Key insight:** ALL market data is used for 5-minute signal validation. 1-minute granularity doesn't provide value since we only trade on 5-minute signals.
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---
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## Proposed Solution: Reduce 1-Minute Frequency OR Eliminate
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### Option 1: Reduce to Every 5 Minutes (RECOMMENDED)
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**Change 1-minute alerts to fire every 5 minutes instead:**
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- Frequency: 12 signals/hour → Same as trading signals
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- Data: Keep all indicators (ATR, ADX, RSI, etc.)
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- Benefit: 83% reduction in webhook load (180/hour → 36/hour)
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- Trade-off: None - market data still fresh for 5-minute trading signals
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**Implementation:**
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```pinescript
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// In moneyline_1min_data_feed.pinescript:
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// OLD:
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if barstate.isconfirmed // Fires every 1-minute candle
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// NEW:
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if barstate.isconfirmed and bar_index % 5 == 0 // Fires every 5 minutes
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```
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**Alert setup:**
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- Keep chart on 1-minute timeframe
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- Alert fires every 5th candle close = every 5 minutes
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- Webhook URL: Same (tradingview-bot-v4)
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- Format: Same trading signal format
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### Option 2: Switch to Price-Only WebSocket (ALTERNATIVE)
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**Replace TradingView alerts with Pyth WebSocket price feed:**
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- Frequency: Real-time price updates (millisecond granularity)
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- Data: Price only (no indicators)
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- Benefit: 100% reduction in TradingView webhook load
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- Trade-off: Lose indicator data (ADX/ATR/RSI) unless calculated bot-side
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**Current system already has Pyth:**
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- `lib/pyth/price-monitor.ts` - Real-time price WebSocket
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- Used by Position Manager for TP/SL monitoring
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- Provides price data every 400-800ms typical
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**Indicators would need bot-side calculation:**
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- ATR: Requires 14 candles of high/low/close data
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- ADX: Requires 14 candles of directional movement
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- RSI: Requires 14 candles of close prices
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- Complexity: Moderate (need candle history management)
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### Option 3: Eliminate 1-Minute Data Collection (SIMPLEST)
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**Remove 1-minute alerts entirely:**
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- Frequency: 0 signals/hour → 100% reduction
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- Data: Use 5-minute signal data for cache
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- Benefit: Zero webhook flood, zero complexity
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- Trade-off: Market data cache only updates when 5-minute trading signals fire
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**Impact analysis:**
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```typescript
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// Current cache update sources:
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1. Execute endpoint auto-caches on every signal (line 104-118)
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2. 1-minute alerts refresh cache 12× per hour
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3. 5-minute trading signals refresh cache ~1-3× per hour
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// After removing 1-minute alerts:
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- Cache still updates from 5-minute trading signals
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- Worst case: 5 minutes stale data between signals
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- Acceptable: Smart Entry validation uses signal data, not cache
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```
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---
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## Recommended Approach
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**Phase 1: Immediate (Today)**
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1. **Pause all 1-minute alerts in TradingView** (SOL/ETH/BTC)
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2. Verify 5-minute signals start working consistently
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3. Monitor for 24 hours - confirm no webhook skipping
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**Phase 2: Evaluate Need (This Week)**
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1. Review where 1-minute data is actually used:
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- Smart Entry Timer: Uses signal data at entry time (not cache)
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- Position Manager: Uses Pyth WebSocket for price (not cache)
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- Adaptive trailing: Uses signal ADX (not cache)
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- Quality scoring: Uses signal data (not cache)
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2. Conclusion: **1-minute cache updates provide zero value**
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**Phase 3: Long-Term (Optional)**
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If bull/bear 1-minute trading proves viable:
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1. Create separate lightweight webhook ONLY for 1-minute trades
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2. Minimal payload: Symbol, direction, timeframe
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3. No indicator data (calculate bot-side or accept lower quality)
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4. Trade execution on 1-minute = different strategy than 5-minute
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---
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## Implementation Steps
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### Step 1: Pause 1-Minute Alerts (Immediate)
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**In TradingView:**
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1. Go to Alert panel
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2. Find: "SOL-PERP 1min Data Feed"
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3. Click pause icon (do NOT delete - may need later)
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4. Repeat for ETH-PERP and BTC-PERP
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**Expected result:**
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- 180 webhooks/hour → 36 webhooks/hour (83% reduction)
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- 5-minute signals start arriving consistently
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### Step 2: Monitor 5-Minute Signal Delivery (24 hours)
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**SQL verification:**
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```sql
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-- Check 5-minute signals received in last 24 hours
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SELECT
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symbol,
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COUNT(*) as signals_received,
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COUNT(CASE WHEN "blockReason" = 'QUALITY_SCORE_TOO_LOW' THEN 1 END) as blocked_low_quality,
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COUNT(CASE WHEN "blockReason" = 'DATA_COLLECTION_ONLY' THEN 1 END) as data_collection
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FROM "BlockedSignal"
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WHERE timeframe = '5'
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AND "createdAt" > NOW() - INTERVAL '24 hours'
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GROUP BY symbol;
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-- Check actual trades executed
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SELECT
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symbol,
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COUNT(*) as trades_executed
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FROM "Trade"
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WHERE "createdAt" > NOW() - INTERVAL '24 hours'
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AND timeframe = '5'
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GROUP BY symbol;
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```
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**Expected healthy baseline:**
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- 5-minute signals: 36-288 per 24 hours (3 symbols × 12-96 per symbol)
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- Some blocked for quality, some executed as trades
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- Zero data collection signals (timeframe=5 always attempts execution)
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### Step 3: Clean Up Database (Optional)
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**If 1-minute data collection proven unnecessary:**
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```sql
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-- Archive old 1-minute data to separate table
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CREATE TABLE "ArchivedBlockedSignal" AS
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SELECT * FROM "BlockedSignal" WHERE timeframe = '1';
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-- Delete from main table to free space
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DELETE FROM "BlockedSignal" WHERE timeframe = '1';
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-- Result: ~1,408 records removed per day = ~10 MB/day savings
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```
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### Step 4: Update Documentation
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**Files to update:**
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- `.github/copilot-instructions.md` - Remove 1-minute data collection section
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- `docs/1MIN_DATA_COLLECTION_SIMPLE.md` - Mark as deprecated
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- `docs/1MIN_MARKET_DATA_IMPLEMENTATION.md` - Add note about TradingView flooding issue
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- `workflows/trading/moneyline_1min_data_feed.pinescript` - Add warning comment
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---
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## Alternative: Minimal 1-Minute Bull/Bear Signals
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**If you want to trade on 1-minute timeframe:**
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### Separate Lightweight Webhook
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**Create dedicated 1-minute trading alerts (NOT data collection):**
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```pinescript
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//@version=6
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indicator("Money Line - 1min TRADING", overlay=true)
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// Minimal logic - only when strong signal
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atr = ta.atr(14)
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[diPlus, diMinus, adx] = ta.dmi(14, 14)
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rsi = ta.rsi(close, 14)
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// Only alert on strong conditions (reduce frequency)
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strongBuy = rsi < 30 and adx > 25
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strongSell = rsi > 70 and adx > 25
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if barstate.isconfirmed and strongBuy
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alert('SOLUSDT buy 1', alert.freq_once_per_bar)
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if barstate.isconfirmed and strongSell
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alert('SOLUSDT sell 1', alert.freq_once_per_bar)
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```
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**Key differences:**
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- Fires only on strong conditions (not every candle)
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- Minimal payload (symbol, direction, timeframe)
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- Separate from data collection
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- Uses same webhook but distinguishable by timeframe=1 + strongCondition
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### Bot-Side Changes for 1-Minute Trading
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**In execute endpoint (route.ts):**
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```typescript
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// Allow 1-minute trading signals through
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if (timeframe === '1' && qualityResult.score >= 90) {
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console.log('✅ 1-minute TRADING signal (high quality) - executing')
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// Proceed to trade execution
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} else if (timeframe !== '5') {
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console.log('📊 DATA COLLECTION or low quality - skip execution')
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// Save to BlockedSignal
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}
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```
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**Risk management for 1-minute trades:**
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- Higher quality threshold (95+ instead of 90+)
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- Smaller position size (50% of 5-minute size)
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- Tighter stops (ATR × 1.5 instead of × 3.0)
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- Different runner system (faster TP1 at 0.5%)
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---
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## Decision Matrix
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| Option | Webhook Load | Data Quality | Complexity | Best For |
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|--------|-------------|--------------|------------|----------|
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| **Pause 1-min alerts** | ✅ 83% reduction | ✅ Same (uses 5-min data) | ✅ Zero changes | Current 5-min strategy |
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| **5-min intervals** | ⚠️ 83% reduction | ✅ Same | ⚠️ Alert modification | Future flexibility |
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| **Eliminate entirely** | ✅ 100% reduction | ✅ Same | ✅ Delete alerts | Simplification |
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| **1-min trading** | ❌ Same load | ⚠️ Lower timeframe risk | ❌ High (new strategy) | Different strategy |
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**Recommendation: Pause 1-min alerts** (Option 1)
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- Solves immediate problem (missed 5-min signals)
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- Zero code changes needed
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- Reversible if needed later
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- Can always enable 1-min trading as separate strategy
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---
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## Expected Outcomes
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### Immediate Benefits
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- ✅ 5-minute trading signals arrive consistently
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- ✅ No more missed trade opportunities
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- ✅ Reduced n8n workflow load (180 → 36 executions/hour)
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- ✅ Cleaner logs (no 1-minute spam)
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- ✅ Faster BlockedSignal table queries
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### Long-Term Benefits
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- 📊 Simpler system (fewer moving parts)
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- 💾 Reduced database growth (10 MB/day savings)
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- 🎯 Focus on proven 5-minute strategy
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- 🔬 Can add 1-minute trading later as separate strategy
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### No Downsides
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- ✅ Smart Entry validation uses signal data (not cache)
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- ✅ Position Manager uses Pyth WebSocket (not cache)
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- ✅ Quality scoring uses signal data (not cache)
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- ✅ Adaptive trailing uses signal ADX (not cache)
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**Conclusion: 1-minute data collection provides zero value and actively harms system by flooding webhooks.**
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---
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## Implementation Timeline
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### Today (December 4, 2025)
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- [ ] Pause all 3 1-minute TradingView alerts
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- [ ] Monitor next 5-minute signal (should arrive on time)
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- [ ] Document in commit: "fix: Pause 1-minute alerts to prevent webhook flooding"
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### This Week
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- [ ] Verify 24 hours of consistent 5-minute signals
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- [ ] SQL analysis: Compare signal delivery before/after
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- [ ] Update documentation files
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- [ ] Archive 1-minute BlockedSignal data (optional)
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### Next Month (If Needed)
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- [ ] Evaluate 1-minute bull/bear trading viability
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- [ ] Design separate lightweight 1-minute strategy
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- [ ] Create dedicated webhook for 1-minute trades
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- [ ] Test with small position sizes
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---
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## Rollback Plan
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**If pausing 1-minute alerts causes unexpected issues:**
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1. Re-enable 1-minute alerts in TradingView
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2. Check logs for what broke (cache dependencies?)
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3. Fix actual dependency instead of flooding webhooks
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4. Document the real reason 1-minute data was needed
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**Unlikely scenarios that would require rollback:**
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- Smart Entry Timer depends on cache refresh (no - uses signal data)
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- Position Manager depends on cache (no - uses Pyth WebSocket)
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- Quality scoring depends on cache (no - uses signal data)
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- Adaptive trailing depends on cache (no - uses signal ADX)
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**Reality check:** System was working perfectly before November 27, 2025 (when 1-minute alerts added). Removing them returns to proven stable state.
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---
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## Files to Update
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|
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### Immediate Changes (Code)
|
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- None required - just pause TradingView alerts
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|
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### Documentation Updates
|
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1. `.github/copilot-instructions.md`:
|
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- Remove/update "1-Minute Data Collection System" section
|
||||
- Add this incident to Common Pitfalls
|
||||
- Document webhook flooding issue
|
||||
|
||||
2. `docs/1MIN_DATA_COLLECTION_SIMPLE.md`:
|
||||
- Add warning about TradingView webhook flooding
|
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- Mark as deprecated/paused
|
||||
- Link to this document
|
||||
|
||||
3. `docs/1MIN_MARKET_DATA_IMPLEMENTATION.md`:
|
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- Add post-mortem section
|
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- Explain why 1-minute data collection was removed
|
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||||
4. `workflows/trading/moneyline_1min_data_feed.pinescript`:
|
||||
- Add comment about webhook flooding issue
|
||||
- Note: "DEPRECATED - Causes TradingView to skip 5-minute signals"
|
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|
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### Git Commits
|
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```bash
|
||||
# Commit 1: Documentation
|
||||
git add docs/1MIN_SIGNAL_OPTIMIZATION.md
|
||||
git commit -m "docs: Add 1-minute signal optimization analysis"
|
||||
|
||||
# Commit 2: Update copilot instructions
|
||||
git add .github/copilot-instructions.md
|
||||
git commit -m "docs: Document 1-minute webhook flooding issue (Common Pitfall)"
|
||||
|
||||
# Commit 3: Mark indicator deprecated
|
||||
git add workflows/trading/moneyline_1min_data_feed.pinescript
|
||||
git commit -m "docs: Mark 1-minute data feed as deprecated (webhook flooding)"
|
||||
|
||||
git push
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Key Takeaway
|
||||
|
||||
**TradingView webhook flooding is a REAL problem:**
|
||||
- High-frequency alerts (1-minute) cause lower-frequency alerts (5-minute) to be dropped
|
||||
- This is undocumented behavior but confirmed by 2 incidents
|
||||
- Solution: Reduce webhook frequency OR use alternative data source (Pyth WebSocket)
|
||||
|
||||
**1-minute market data cache updates provide ZERO value:**
|
||||
- All critical systems use signal data or Pyth WebSocket (not cache)
|
||||
- Cache updates are a vestigial feature from early development
|
||||
- Removing 1-minute alerts simplifies system without losing functionality
|
||||
|
||||
**If you want to trade 1-minute signals later:**
|
||||
- Design as separate strategy (not data collection)
|
||||
- Use dedicated webhook with strong filters
|
||||
- Accept trade-offs (higher risk, smaller positions, faster stops)
|
||||
Reference in New Issue
Block a user