- Dark mode: class-based theme toggle with localStorage persistence and flash prevention - Trade History (/trades): paginated table, stats cards, equity curve chart with DB API endpoints - Backtest Viewer (/backtests): log parser for 35 backtest results, sidebar + detail + comparison tabs - Model Insights: dashboard card + dialog showing feature importance, regime distribution, training history - Alert/Signal Log (/alerts): signal stats, filterable table with execution tracking - API: 8 new endpoints with psycopg2 DB connection pool - Dark mode sweep across books page, about dialog, and all dashboard components - Architecture docs rewritten with Mermaid diagrams (23 docs) - README and FEATURES.md rewritten bilingual (Indonesian + English) - main_live.py: write model_metrics.json on startup and retrain Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
323 lines
8.7 KiB
Markdown
323 lines
8.7 KiB
Markdown
# *Take Profit* (T/P) — Sistem Pengambilan Profit Cerdas
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> **File terkait:** `src/smc_polars.py`, `main_live.py`, `src/smart_risk_manager.py`
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---
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## Flowchart Prioritas *Take Profit*
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```mermaid
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flowchart TD
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A["Evaluasi Posisi Terbuka"] --> B{"profit >= $40?"}
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B -- Ya --> B1["Layer 1: Hard TP\nTutup langsung"]
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B -- Tidak --> C{"profit >= $25\nDAN momentum < -30?"}
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C -- Ya --> C1["Layer 2: Momentum TP\nAmankan profit"]
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C -- Tidak --> D{"peak > $30\nDAN current < 60% peak?"}
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D -- Ya --> D1["Layer 3: Peak Protection\nKunci sisa profit"]
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D -- Tidak --> E{"profit >= $20\nDAN TP probability < 25%?"}
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E -- Ya --> E1["Layer 4: Probability TP\nAmbil sekarang"]
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E -- Tidak --> F{"profit $5-15\nDAN ML reversal\nDAN momentum < -50?"}
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F -- Ya --> F1["Layer 5: Early Exit\nProfit kecil > loss"]
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F -- Tidak --> G["Layer 6: Broker TP\nHarga hit level otomatis"]
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style B1 fill:#16a34a,color:#fff
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style C1 fill:#2563eb,color:#fff
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style D1 fill:#7c3aed,color:#fff
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style E1 fill:#d97706,color:#fff
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style F1 fill:#dc2626,color:#fff
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style G fill:#64748b,color:#fff
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```
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---
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## Apa Itu *Take Profit* di Bot Ini?
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*Take Profit* bukan hanya satu target harga — ini adalah **sistem multi-layer** yang secara cerdas memutuskan kapan mengambil profit berdasarkan *momentum*, *probability*, dan *peak protection*.
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**Analogi:** TP di bot ini seperti **pemanen buah pintar** — tahu kapan buah sudah matang (*Hard TP*), kapan cuaca akan buruk (*momentum* drop), dan kapan panen sebelum busuk (*Peak Protection*).
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---
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## Layer *Take Profit*
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```
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Layer 1: Broker TP <- Target harga dikirim ke broker (SMC-generated)
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Layer 2: Hard TP <- Software tutup jika profit >= $40
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Layer 3: Momentum TP <- Tutup jika profit bagus tapi momentum turun
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Layer 4: Peak Protection <- Tutup jika profit turun dari peak
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Layer 5: Probability TP <- Tutup jika probabilitas capai TP rendah
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Layer 6: Early Exit <- Tutup profit kecil jika reversal terdeteksi
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```
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---
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## Layer 1: Broker TP (SMC-Generated)
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**Sumber:** `smc_polars.py` (Lines 654-659, 704-709)
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**Dikirim ke:** Broker MT5 sebagai TP order aktif
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### Perhitungan
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```python
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# ATR-based TP cap
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atr = latest["atr"] # Contoh: ATR = $8.50
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max_tp_distance = 4.0 * atr # 4 * 8.50 = $34.00
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# Untuk BUY:
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risk = entry - sl # $4950 - $4937 = $13
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tp = entry + (risk * 2) # $4950 + $26 = $4976 (2:1 RR)
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if tp > entry + max_tp_distance: # $4976 vs $4950 + $34 = $4984
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tp = entry + max_tp_distance # Tidak kena cap, tetap $4976
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# Untuk SELL:
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risk = sl - entry # $4963 - $4950 = $13
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tp = entry - (risk * 2) # $4950 - $26 = $4924 (2:1 RR)
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if tp < entry - max_tp_distance: # $4924 vs $4950 - $34 = $4916
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tp = entry - max_tp_distance # Tidak kena cap, tetap $4924
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```
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### Kenapa TP Di-cap 4 ATR?
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```
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Sebelum (v2): TP = risk * 2 (tanpa batas)
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-> Bisa sangat jauh ($50+ dari entry)
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-> Jarang tercapai, posisi terbuka terlalu lama
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Sesudah (v3): TP = MIN(risk * 2, 4 * ATR)
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-> Dibatasi maksimal 4x ATR
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-> Target lebih realistis, lebih sering tercapai
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```
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### Dikirim ke Broker
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```python
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# main_live.py
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result = mt5.send_order(
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sl=broker_sl,
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tp=signal.take_profit, # <- TP dari SMC (ATR-capped)
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...
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)
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```
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Jika harga mencapai TP level, broker otomatis menutup posisi — tidak perlu bot online.
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---
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## Layer 2: *Hard Take Profit* ($40)
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**Sumber:** `smart_risk_manager.py` (Lines 595-599)
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```python
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# Profit mencapai $40+ -> langsung tutup
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if current_profit >= 40:
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return True, ExitReason.TAKE_PROFIT,
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"[TP] Target profit reached: $40.00"
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```
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**Kenapa $40?** Ini threshold profit yang cukup besar untuk diamankan, terlepas dari kondisi pasar.
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---
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## Layer 3: *Momentum*-Based TP ($25+)
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**Sumber:** `smart_risk_manager.py` (Lines 601-603)
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```python
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# Profit $25+ tapi momentum turun -> amankan profit
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if current_profit >= 25 and momentum < -30:
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return True, ExitReason.TAKE_PROFIT,
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"[SECURE] Securing $25.00 (momentum dropping)"
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```
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### Bagaimana *Momentum* Dihitung
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```python
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# PositionGuard.calculate_momentum() (Lines 113-131)
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# Melihat 5 profit history terakhir
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recent_profits = profit_history[-5:]
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profit_change = recent_profits[-1] - recent_profits[0]
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# Normalisasi: $10 change = 50 poin
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momentum = (profit_change / 10) * 50
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# Range: -100 sampai +100
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# momentum < -30 artinya profit sedang TURUN cukup cepat
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```
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**Visualisasi:**
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```
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Profit ($)
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40 |
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35 | /\
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30 | / \ <- Momentum mulai negatif
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25 |------/----\------ Layer 3 trigger: amankan!
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20 | / \
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15 | / \
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10 | / \
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5 | /
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0 |_/________________________> waktu
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```
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---
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## Layer 4: *Peak Protection* ($30+ peak)
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**Sumber:** `smart_risk_manager.py` (Lines 605-607)
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```python
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# Profit pernah $30+ tapi sekarang turun ke 60% dari peak
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if guard.peak_profit > 30 and current_profit < guard.peak_profit * 0.6:
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return True, ExitReason.TAKE_PROFIT,
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"[LOCK] Securing profit (was $35 peak)"
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```
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### Cara Kerja Peak Tracking
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```python
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# Setiap evaluasi, update peak profit
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guard.peak_profit = max(guard.peak_profit, current_profit)
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# Contoh:
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# Peak: $35 -> 60% = $21
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# Current: $18 (turun dari $35)
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# $18 < $21 -> TUTUP, lindungi sisa profit
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```
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**Visualisasi:**
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```
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Profit ($)
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35 | * <- peak_profit = $35
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30 | / \
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25 | / \
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21 |./.....\....... 60% threshold ($21)
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18 | \* <- current = $18, TUTUP!
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15 | \
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10 | (kehilangan lebih banyak dihindari)
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```
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---
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## Layer 5: *Probability*-Based TP ($20+)
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**Sumber:** `smart_risk_manager.py` (Lines 609-611)
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```python
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# Probabilitas capai TP rendah + profit cukup -> ambil sekarang
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if tp_probability < 25 and current_profit >= 20:
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return True, ExitReason.TAKE_PROFIT,
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"[PROB] Taking profit $20 (TP prob: 15%)"
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```
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### Cara Hitung TP *Probability*
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```python
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# PositionGuard.get_tp_probability() (Lines 133-168)
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# Score 0-100% berdasarkan 4 faktor:
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Factor 1: Progress ke TP (0-40 poin)
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progress = (current_profit / target_tp_profit) * 100
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-> Makin dekat ke TP = skor tinggi
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Factor 2: Momentum (0-30 poin)
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-> *Momentum* positif = skor tinggi
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Factor 3: ML *Confidence* Trend (0-20 poin)
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-> ML *confidence* naik = skor tinggi
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Factor 4: Time Penalty (0-10 poin DIKURANGI)
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-> 2 poin per jam (makin lama = makin rendah)
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probability = factor1 + factor2 + factor3 - time_penalty
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```
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---
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## Layer 6: *Early Exit* (Profit Kecil + Reversal)
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**Sumber:** `smart_risk_manager.py` (Lines 617-627)
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```python
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# Profit $5-$15 + momentum sangat buruk + ML reversal
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if 5 <= current_profit < 15:
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if momentum < -50 and ml_confidence >= 0.65:
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if ml_signal berlawanan dengan posisi:
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return True, ExitReason.TAKE_PROFIT,
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"Early exit - reversal detected"
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```
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**Logika:** Lebih baik ambil profit kecil ($5-$15) daripada menunggu profit hilang karena reversal.
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---
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## Prioritas Exit (Urutan Pengecekan)
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```
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1. Hard TP ($40+) <- Paling prioritas
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2. Momentum TP ($25+, mom<-30)
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3. Peak Protection ($30+ peak, <60%)
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4. Probability TP ($20+, prob<25%)
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5. Early Exit ($5-15, reversal)
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6. Broker TP (harga hit level) <- Independen dari software
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```
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**Catatan:** Broker TP berjalan independen — jika harga hit TP level di broker, posisi tertutup otomatis meskipun bot offline.
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---
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## Contoh Skenario
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### Skenario 1: TP Broker Hit
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```
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Entry BUY @ $4950, TP broker @ $4976
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-> Harga naik ke $4976
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-> BROKER TP HIT -> Tutup otomatis
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-> Profit: ~$26 (0.01 lot = $2.60)
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```
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### Skenario 2: Software TP Lebih Cepat
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```
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Entry BUY @ $4950, TP broker @ $4990
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-> Harga naik ke $4990 (profit $40)
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-> Software: profit >= $40 -> HARD TP
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-> Tutup sebelum broker TP level
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```
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### Skenario 3: *Momentum* Drop
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```
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Entry BUY @ $4950
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-> Profit naik: $10 -> $20 -> $28 -> $25
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-> momentum = -35 (turun)
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-> Software: profit $25 + momentum < -30
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-> MOMENTUM TP: amankan $25
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```
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### Skenario 4: *Peak Protection*
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```
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Entry BUY @ $4950
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-> Profit naik: $15 -> $25 -> $35 (peak!)
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-> Profit turun: $35 -> $30 -> $22 -> $19
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-> 60% dari $35 = $21
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-> $19 < $21 -> PEAK PROTECTION: amankan $19
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(tanpa ini, profit bisa turun ke $0 atau bahkan loss)
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```
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---
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## Tabel Ringkasan Layer TP
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| Layer | Trigger | Profit Min | Kondisi Tambahan |
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|-------|---------|-----------|------------------|
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| **1. Broker TP** | Harga hit level | - | Otomatis, independen |
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| **2. *Hard TP*** | profit >= $40 | $40 | Tidak ada |
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| **3. *Momentum* TP** | profit >= $25 | $25 | *momentum* < -30 |
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| **4. *Peak Protection*** | peak > $30 | ~$18+ | current < 60% peak |
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| **5. *Probability* TP** | profit >= $20 | $20 | TP *probability* < 25% |
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| **6. *Early Exit*** | profit $5-15 | $5 | ML reversal + *momentum* < -50 |
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