* Separate the AI's thought process from the instruction JSON using XML tags.
* Avoid committing encryption key related materials to Git.
* Removing adaptive series prompts, awaiting subsequent modifications for compatibility.
## 🎯 Motivation
Based on extensive production usage and user feedback, we've developed a more comprehensive prompt system with:
- Stronger risk management rules
- Better handling of partial_close and update_stop_loss
- Multiple strategy templates for different risk profiles
- Enhanced decision quality and consistency
## 📊 What's Changed
### 1. Prompt System v6.0.0
All prompts now follow a standardized format with:
- **Version header**: Clear versioning (v6.0.0)
- **Strategy positioning**: Conservative/Moderate/Relaxed/Altcoin
- **Core parameters**: Confidence thresholds, cooldown periods, BTC confirmation requirements
- **Unified structure**: Consistent across all templates
### 2. New Strategy Templates
Added two new templates to cover different trading scenarios:
- `adaptive_altcoin.txt` - Optimized for altcoin trading
- Higher leverage limits (10x-15x)
- More aggressive position sizing
- Faster decision cycles
- `adaptive_moderate.txt` - Balanced strategy
- Medium risk tolerance
- Flexible BTC confirmation
- Suitable for most traders
### 3. Enhanced Safety Rules
#### partial_close Safety (Addresses #301)
```
⚠️ Mandatory Check:
- Before partial_close, calculate: remaining_value = current_value × (1 - close_percentage/100)
- If remaining_value ≤ $10 → Must use close_long/close_short instead
- Prevents "Order must have minimum value of $10" exchange errors
```
#### update_stop_loss Threshold Rules
```
⚠️ Strict Rules:
- Profit <3% → FORBIDDEN to move stop-loss (avoid premature trailing)
- Profit 3-5% → Can move to breakeven
- Profit ≥10% → Can move to entry +5% (lock partial profit)
```
#### TP/SL Restoration After partial_close
```
⚠️ Important:
- Exchanges auto-cancel TP/SL orders when position size changes
- Must provide new_stop_loss + new_take_profit with partial_close
- Otherwise remaining position has NO protection (liquidation risk)
```
### 4. Files Changed
- `prompts/adaptive.txt` - Conservative strategy (v6.0.0)
- `prompts/adaptive_relaxed.txt` - Relaxed strategy (v6.0.0)
- `prompts/adaptive_altcoin.txt` - NEW: Altcoin-optimized strategy
- `prompts/adaptive_moderate.txt` - NEW: Balanced strategy
## 🔗 Related Issues
- Closes#301 (Prompt layer safety rules)
- Related to #418 (Same validation issue)
- Complements PR #415 (Backend implementation)
## ✅ Testing
- [x] All 4 templates follow v6.0.0 format
- [x] partial_close safety rules included
- [x] update_stop_loss threshold rules included
- [x] TP/SL restoration warnings included
- [x] Strategy-specific parameters validated
## 📝 Notes
This PR focuses on **prompt layer enhancements only**.
Backend safety checks (trader/auto_trader.go) will be submitted in a separate PR for easier review.
The two PRs can be merged independently or together - they complement each other:
- This PR: AI makes better decisions (prevent bad actions)
- Next PR: Backend validates and auto-corrects (safety net)
---
Co-authored-by: tinkle-community <tinklefund@gmail.com>
## Problem
AI was calculating position_size_usd incorrectly, treating it as margin requirement instead of notional value, causing code=-2019 errors (insufficient margin).
## Solution
### 1. Updated AI prompts with correct formula
- **prompts/adaptive.txt**: Added clear position sizing calculation steps
- **prompts/nof1.txt**: Added English version with example
- **prompts/default.txt**: Added Chinese version with example
**Correct formula:**
1. Available Margin = Available Cash × 0.95 × Allocation % (reserve 5% for fees)
2. Notional Value = Available Margin × Leverage
3. position_size_usd = Notional Value (this is the value for JSON)
**Example:** $500 cash, 5x leverage → position_size_usd = $2,375 (not $500)
### 2. Added code-level validation
- **trader/auto_trader.go**: Added margin checks in executeOpenLong/ShortWithRecord
- Validates required margin + fees ≤ available balance before opening position
- Returns clear error message if insufficient
## Impact
- Prevents code=-2019 errors
- AI now understands the difference between notional value and margin requirement
- Double validation: AI prompt + code check
## Testing
- ✅ Compiles successfully
- ⚠️ Requires live trading environment testing
Add detailed guidance chapter for dynamic TP/SL management and partial close operations.
## Changes
- New chapter: "动态止盈止损与部分平仓指引" (Dynamic TP/SL & Partial Close Guidance)
- Inserted between "可用动作" (Actions) and "决策流程" (Decision Flow) sections
- 4 key guidance points covering:
1. Partial close best practices (use clear percentages like 25%/50%/75%)
2. Reassessing remaining position after partial exit
3. Proper use cases for update_stop_loss / update_take_profit
4. Multi-stage exit strategy requirements
## Benefits
- ✅ Provides concrete operational guidelines for AI decision-making
- ✅ Clarifies when and how to use partial_close effectively
- ✅ Emphasizes remaining position management (prevents "orphan" positions)
- ✅ Aligns with existing backend support for partial_close action
## Background
While adaptive.txt already lists partial_close as an available action,
it lacked detailed operational guidance. This enhancement fills that gap
by providing specific percentages, use cases, and multi-stage exit examples.
Backend (decision/engine.go) already validates partial_close with
close_percentage field, so this is purely a prompt enhancement with
no code changes required.
Co-Authored-By: tinkle-community <tinklefund@gmail.com>
SkywalkerJi
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Icyoung
Hansen1018
tinkle-community
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