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OpenMetaTradingServer v2.0 HFT ZeroMQ Core FIX 4.4 Active
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SCHNELLHANDEL
VOL (LOTS):
RISK: 1.0% (€1,000)
HEBEL: 1:100
SL: 50p TP: 100p
Min: 0.001 | €59.91
Market Watch 5 Symbols
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#108849 - OpenMeta Demo (1:500)
VectorBT Hub (100) 100 Strat
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Moving Average (SMA 20)
Bollinger Bands
RSI (14)
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Institutional FIX 4.4 (9800)
ZeroMQ IPC NodePort (30555)
BTC/USDT, M1, OpenMetaTradingServer Engine O: 65,120.00 | H: 65,150.00 | L: 65,090.00 | C: 65,135.00
Strategie auf BTC/USDT ausführen
Lassen Sie die Datei hier los zum Live-Ausführen auf dem Chart
OrderFlowImbalance: BUY 0.1 BTC/USDT @ 65,120
LOTS 0.5 Pip
Depth of Market (DOM)
Volume Ask/Bid Action
Trade
Exposure
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Binance Arbitrage (100€)
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Journal
Order Time Type Size Symbol Price S / L T / P Market Profit ($) Action
Connected: OpenMetaTradingServer Gateway: ZeroMQ 30555/30556 Ping: 1.2 ms --:--:-- UTC
Order — BTC/USDT
50p
100p
65,120.00 65,120.50
MetaEditor 5 — strategien/order_flow_imbalance.py (OpenMeta Python EA Environment)
ACTIVE order_flow_imbalance.py Trades: 0 $0.00
strategien/
EAs inherit from BaseStrategy and implement on_tick() / on_bar().
order_flow_imbalance.py
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Line 1, Col 1 Lines: 0 Python 3.11 BaseStrategy API v2.0 OpenMetaTradingServer Matching Engine
Compiler (0 errors)
EA Journal & Trades
Select a strategy, edit python code, and press [Compile (F7)] or [Attach & Run] to execute.
VectorBT Strategy Hub — 100 Quantitative Trading Strategies Catalog (vbt)
100 Strategies 56 Alt-bewährt 44 Neu & Modern
ERA:
FAMILIE:
ML TAG:
100 / 100

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