Automated-Financial-Market-Trading-System

Unverified ML strategy on Multi by ThePredictiveDev. BotFinder score 18 out of 100.

This project is a Python-based trading simulator that allows users to simulate trading strategies, manage an order book, and interact with a mock trading environment using various

Source: github

Explorer/Multi/Automated-Financial-Market-Trading-System
18
Data index
MultiMLMedium risk⚠ Unverified

Automated-Financial-Market-Trading-System

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Net return
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Max drawdown
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Sharpe
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Profit factor
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Win rate
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Track record
2.1y
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About

Automated-Financial-Market-Trading-System

📈 Automated Financial Trading System What is this, really? Imagine you could build your own tiny stock exchange — one with real buyers and sellers, a real order book, and real price competition — except nobody's money is actually at risk and you can rewind time as many times as you want. That's what this is. You feed it a stock symbol, tell it how you want to trade (or let one of the built-in robot traders do it for you), and watch as orders get matched, prices move, and a portfolio grows or shrinks in real time — powered by the same mechanics real exchanges use under the hood. In one line: a from-scratch limit order book, matching engine, market maker, algorithmic traders, multi-venue router, FIX protocol engine, and backtester — a complete miniature electronic market you run entirely on your own machine. For anyone who wants the deeper version: this is a research and education platform for market microstructure. It implements price-time priority matching, self-trade prevention, time-in-force handling (GTC/IOC/FOK), Avellaneda-Stoikov market making, pre-trade risk controls, multi-ve

PythonMITOpen-sourcealgorithmic-strategiesalgorithmic-tradingautomated-tradingbacktestingfinancial-engineeringfinancial-marketsfinancial-simulationfix-protocol
Track record

⚠ No verified equity curve — no track-record source connected.

Risk

Drawdown profile

Data unavailable — contact the owner.

Evidence

Verification ledger

Live-audited
Broker-verified
Capital-backed
Tamper-proof
Historical evolution

How the score has moved

Recalculated at each data collection. Transparency means showing the bad weeks too.

No score history is stored yet — only the current score is shown.

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Alerts on changes: coming soon

Prop-firm compatibility

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Source
ThePredictiveDev
Since 2012 · 1 bots

Open-source maintainer on GitHub.

Trust 0Profile
Score & reliability18/100
Perf data0/35
Community0/25
Evidence8/20
Recency10/10
Verification0/10

Data-completeness & trust index (not a profitability rating)

Source facts
Stars38
Forks13
Open issues1
LanguagePython
LicenseMIT
Last update2026-08-14
Created2024-08-25
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