- 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>
8.7 KiB
Take Profit (T/P) — Sistem Pengambilan Profit Cerdas
File terkait:
src/smc_polars.py,main_live.py,src/smart_risk_manager.py
Flowchart Prioritas Take Profit
flowchart TD
A["Evaluasi Posisi Terbuka"] --> B{"profit >= $40?"}
B -- Ya --> B1["Layer 1: Hard TP\nTutup langsung"]
B -- Tidak --> C{"profit >= $25\nDAN momentum < -30?"}
C -- Ya --> C1["Layer 2: Momentum TP\nAmankan profit"]
C -- Tidak --> D{"peak > $30\nDAN current < 60% peak?"}
D -- Ya --> D1["Layer 3: Peak Protection\nKunci sisa profit"]
D -- Tidak --> E{"profit >= $20\nDAN TP probability < 25%?"}
E -- Ya --> E1["Layer 4: Probability TP\nAmbil sekarang"]
E -- Tidak --> F{"profit $5-15\nDAN ML reversal\nDAN momentum < -50?"}
F -- Ya --> F1["Layer 5: Early Exit\nProfit kecil > loss"]
F -- Tidak --> G["Layer 6: Broker TP\nHarga hit level otomatis"]
style B1 fill:#16a34a,color:#fff
style C1 fill:#2563eb,color:#fff
style D1 fill:#7c3aed,color:#fff
style E1 fill:#d97706,color:#fff
style F1 fill:#dc2626,color:#fff
style G fill:#64748b,color:#fff
Apa Itu Take Profit di Bot Ini?
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.
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).
Layer Take Profit
Layer 1: Broker TP <- Target harga dikirim ke broker (SMC-generated)
Layer 2: Hard TP <- Software tutup jika profit >= $40
Layer 3: Momentum TP <- Tutup jika profit bagus tapi momentum turun
Layer 4: Peak Protection <- Tutup jika profit turun dari peak
Layer 5: Probability TP <- Tutup jika probabilitas capai TP rendah
Layer 6: Early Exit <- Tutup profit kecil jika reversal terdeteksi
Layer 1: Broker TP (SMC-Generated)
Sumber: smc_polars.py (Lines 654-659, 704-709)
Dikirim ke: Broker MT5 sebagai TP order aktif
Perhitungan
# ATR-based TP cap
atr = latest["atr"] # Contoh: ATR = $8.50
max_tp_distance = 4.0 * atr # 4 * 8.50 = $34.00
# Untuk BUY:
risk = entry - sl # $4950 - $4937 = $13
tp = entry + (risk * 2) # $4950 + $26 = $4976 (2:1 RR)
if tp > entry + max_tp_distance: # $4976 vs $4950 + $34 = $4984
tp = entry + max_tp_distance # Tidak kena cap, tetap $4976
# Untuk SELL:
risk = sl - entry # $4963 - $4950 = $13
tp = entry - (risk * 2) # $4950 - $26 = $4924 (2:1 RR)
if tp < entry - max_tp_distance: # $4924 vs $4950 - $34 = $4916
tp = entry - max_tp_distance # Tidak kena cap, tetap $4924
Kenapa TP Di-cap 4 ATR?
Sebelum (v2): TP = risk * 2 (tanpa batas)
-> Bisa sangat jauh ($50+ dari entry)
-> Jarang tercapai, posisi terbuka terlalu lama
Sesudah (v3): TP = MIN(risk * 2, 4 * ATR)
-> Dibatasi maksimal 4x ATR
-> Target lebih realistis, lebih sering tercapai
Dikirim ke Broker
# main_live.py
result = mt5.send_order(
sl=broker_sl,
tp=signal.take_profit, # <- TP dari SMC (ATR-capped)
...
)
Jika harga mencapai TP level, broker otomatis menutup posisi — tidak perlu bot online.
Layer 2: Hard Take Profit ($40)
Sumber: smart_risk_manager.py (Lines 595-599)
# Profit mencapai $40+ -> langsung tutup
if current_profit >= 40:
return True, ExitReason.TAKE_PROFIT,
"[TP] Target profit reached: $40.00"
Kenapa $40? Ini threshold profit yang cukup besar untuk diamankan, terlepas dari kondisi pasar.
Layer 3: Momentum-Based TP ($25+)
Sumber: smart_risk_manager.py (Lines 601-603)
# Profit $25+ tapi momentum turun -> amankan profit
if current_profit >= 25 and momentum < -30:
return True, ExitReason.TAKE_PROFIT,
"[SECURE] Securing $25.00 (momentum dropping)"
Bagaimana Momentum Dihitung
# PositionGuard.calculate_momentum() (Lines 113-131)
# Melihat 5 profit history terakhir
recent_profits = profit_history[-5:]
profit_change = recent_profits[-1] - recent_profits[0]
# Normalisasi: $10 change = 50 poin
momentum = (profit_change / 10) * 50
# Range: -100 sampai +100
# momentum < -30 artinya profit sedang TURUN cukup cepat
Visualisasi:
Profit ($)
40 |
35 | /\
30 | / \ <- Momentum mulai negatif
25 |------/----\------ Layer 3 trigger: amankan!
20 | / \
15 | / \
10 | / \
5 | /
0 |_/________________________> waktu
Layer 4: Peak Protection ($30+ peak)
Sumber: smart_risk_manager.py (Lines 605-607)
# Profit pernah $30+ tapi sekarang turun ke 60% dari peak
if guard.peak_profit > 30 and current_profit < guard.peak_profit * 0.6:
return True, ExitReason.TAKE_PROFIT,
"[LOCK] Securing profit (was $35 peak)"
Cara Kerja Peak Tracking
# Setiap evaluasi, update peak profit
guard.peak_profit = max(guard.peak_profit, current_profit)
# Contoh:
# Peak: $35 -> 60% = $21
# Current: $18 (turun dari $35)
# $18 < $21 -> TUTUP, lindungi sisa profit
Visualisasi:
Profit ($)
35 | * <- peak_profit = $35
30 | / \
25 | / \
21 |./.....\....... 60% threshold ($21)
18 | \* <- current = $18, TUTUP!
15 | \
10 | (kehilangan lebih banyak dihindari)
Layer 5: Probability-Based TP ($20+)
Sumber: smart_risk_manager.py (Lines 609-611)
# Probabilitas capai TP rendah + profit cukup -> ambil sekarang
if tp_probability < 25 and current_profit >= 20:
return True, ExitReason.TAKE_PROFIT,
"[PROB] Taking profit $20 (TP prob: 15%)"
Cara Hitung TP Probability
# PositionGuard.get_tp_probability() (Lines 133-168)
# Score 0-100% berdasarkan 4 faktor:
Factor 1: Progress ke TP (0-40 poin)
progress = (current_profit / target_tp_profit) * 100
-> Makin dekat ke TP = skor tinggi
Factor 2: Momentum (0-30 poin)
-> *Momentum* positif = skor tinggi
Factor 3: ML *Confidence* Trend (0-20 poin)
-> ML *confidence* naik = skor tinggi
Factor 4: Time Penalty (0-10 poin DIKURANGI)
-> 2 poin per jam (makin lama = makin rendah)
probability = factor1 + factor2 + factor3 - time_penalty
Layer 6: Early Exit (Profit Kecil + Reversal)
Sumber: smart_risk_manager.py (Lines 617-627)
# Profit $5-$15 + momentum sangat buruk + ML reversal
if 5 <= current_profit < 15:
if momentum < -50 and ml_confidence >= 0.65:
if ml_signal berlawanan dengan posisi:
return True, ExitReason.TAKE_PROFIT,
"Early exit - reversal detected"
Logika: Lebih baik ambil profit kecil ($5-$15) daripada menunggu profit hilang karena reversal.
Prioritas Exit (Urutan Pengecekan)
1. Hard TP ($40+) <- Paling prioritas
2. Momentum TP ($25+, mom<-30)
3. Peak Protection ($30+ peak, <60%)
4. Probability TP ($20+, prob<25%)
5. Early Exit ($5-15, reversal)
6. Broker TP (harga hit level) <- Independen dari software
Catatan: Broker TP berjalan independen — jika harga hit TP level di broker, posisi tertutup otomatis meskipun bot offline.
Contoh Skenario
Skenario 1: TP Broker Hit
Entry BUY @ $4950, TP broker @ $4976
-> Harga naik ke $4976
-> BROKER TP HIT -> Tutup otomatis
-> Profit: ~$26 (0.01 lot = $2.60)
Skenario 2: Software TP Lebih Cepat
Entry BUY @ $4950, TP broker @ $4990
-> Harga naik ke $4990 (profit $40)
-> Software: profit >= $40 -> HARD TP
-> Tutup sebelum broker TP level
Skenario 3: Momentum Drop
Entry BUY @ $4950
-> Profit naik: $10 -> $20 -> $28 -> $25
-> momentum = -35 (turun)
-> Software: profit $25 + momentum < -30
-> MOMENTUM TP: amankan $25
Skenario 4: Peak Protection
Entry BUY @ $4950
-> Profit naik: $15 -> $25 -> $35 (peak!)
-> Profit turun: $35 -> $30 -> $22 -> $19
-> 60% dari $35 = $21
-> $19 < $21 -> PEAK PROTECTION: amankan $19
(tanpa ini, profit bisa turun ke $0 atau bahkan loss)
Tabel Ringkasan Layer TP
| Layer | Trigger | Profit Min | Kondisi Tambahan |
|---|---|---|---|
| 1. Broker TP | Harga hit level | - | Otomatis, independen |
| 2. Hard TP | profit >= $40 | $40 | Tidak ada |
| 3. Momentum TP | profit >= $25 | $25 | momentum < -30 |
| 4. Peak Protection | peak > $30 | ~$18+ | current < 60% peak |
| 5. Probability TP | profit >= $20 | $20 | TP probability < 25% |
| 6. Early Exit | profit $5-15 | $5 | ML reversal + momentum < -50 |