DRT/ICT market analysis framework: 1h klines, premium/discount zones and daily bias for 17 instruments (indices, forex, metals, crypto). 100% lokal analyse — ingen netværkskald, ingen API-nøgle.
作者 Northcap Group2 次安装
记忆
drt-self-improving-agent
试用Self-improving DRT/ICT trading agent — journals every trade (setup type, bias, R:R, outcome), analyzes its own win/loss patterns, and builds a personal trading memory that makes the agent smarter over time. 100% lokal — ingen netværkskald.
它能做什么
Self-improving DRT/ICT trading agent — journals every trade (setup type, bias, R:R, outcome), analyzes its own win/loss patterns, and builds a personal trading memory that makes the agent smarter over time. 100% lokal — ingen netværkskald.
技能文档
DRT Self-Improving Trading Agent 🤖📈
A trading agent that learns from its own trades. Every trade is journaled → analyzed → patterns are discovered → the agent adjusts its own rules. The more trades, the sharper it gets.
What the skill does
- Journals every trade (DRT type, bias, entry/SL/TP, R:R, outcome, killzone)
- Analyzes patterns — which setups win, which lose, what time of day
- Builds memory —
trades.jsongrows with every trade - Learns and adjusts — prints changed rules based on data (not gut feeling)
- Proactive — reminds about killzones and A+ setups
Files
drt-self-improving-agent/
├── SKILL.md
├── scripts/
│ ├── journal.py # Add trade to trades.json (CLI)
│ ├── analyze.py # Analyze patterns + print learnings
└── data/
└── trades.json # Trade memory (auto-created)
Quick start
# Journal a trade (after every trade!)
python3 scripts/journal.py --symbol SP500 --bias LONG --type 2 \
--entry 7741 --sl 7681 --tp 7802 --rr 2.5 --result win --killzone NY
# See what the agent has learned
python3 scripts/analyze.py
Journal fields
| Field | Value | Description |
|---|---|---|
symbol | SP500, BTCUSD… | Instrument |
bias | LONG / SHORT | Direction |
type | 1, 2, 3 | DRT type (continuation/reversal/consolidation) |
entry / sl / tp | price | Trade levels |
rr | 1.5, 2.0, 3.0 | R:R at entry |
result | win / loss / be | Outcome |
killzone | London, NY, SB-AM, SB-PM | Where the trade was taken |
notes | text | Free note (e.g. "sweep 12 bars old") |
Learning logic (analyze.py)
The agent prints concrete learnings, e.g.:
- "Type 2 LONG wins 92% — keep taking them"
- "Trades in SB-PM lose 60% — avoid or tighten the filter"
- "R:R < 1.5 gives 40% WR — skip, wait for 2R+"
- "When the sweep is older than 12 bars: 0 winners — set an age gate"
Killzone reminder (proactive)
Use the agent to remind about trading windows (CET/Danish time):
- London 09:00-11:00 · NY 14:30-17:00 · SB AM 09:00-10:00 · SB PM 19:30-21:30
- ⛔ Never NY open 15:30-16:00 · max 3 trades/day · SL ALWAYS
Rules that never change (even if the data says otherwise)
- Stop loss ALWAYS · Max 3 trades/day · Never revenge trade
- Only A+ setups — a high win rate requires saying no to 80% of setups
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