Trading-Strategies-in-Emerging-Markets-Coursera

Unverified ML strategy on Indices by LastAncientOne. BotFinder score 18 out of 100.

Design your own Trading Strategy

Source: github

Explorer/Indices/Trading-Strategies-in-Emerging-Markets-Coursera
18
Data index
IndicesMLMedium risk⚠ Unverified

Trading-Strategies-in-Emerging-Markets-Coursera

LastAncientOneGitHub
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Net return
—
Max drawdown
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Sharpe
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Profit factor
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Win rate
—
Track record
8.1y
BotFinder Analysis

BotFinder analysis pending.

About

Trading-Strategies-in-Emerging-Markets-Coursera

Trading Strategies in Emerging Markets Coursera Online course: https://www.coursera.org/specializations/trading-strategy Coursera: This is online project in Trading-Strategies-in-Emerging-Markets-Coursera and "Design your own Trading Strategy." Prerequistes Python 3.5+ Jupyter Notebook Python 3 Author: Tin Hang Disclaimer 🔴 This is not financial advice. Please conduct your own research and refrain from using this code for investing or trading in stocks. If you are interested in the stock market, consider reading books on investment, trading, and finance. It is advisable to consult with a professional investment advisor before making any investment decisions. Remember, this information is for educational purposes only.

Jupyter NotebookMITOpen-sourceanalysiscourserapairs-tradingsharpe-ratiostockstock-analysisstock-marketstock-prices
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
LastAncientOne
Since 2015 · 2 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
Stars40
Forks28
Open issues0
LanguageJupyter Notebook
LicenseMIT
Last update2024-02-25
Created2018-09-24
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