Algorithmic-Trading-From-Beginner-to-Advanced

Unverified ML strategy on Multi by ali-azary. BotFinder score 18 out of 100.

This repository contains a free mini-book and a curated pack of Backtrader strategies and utilities for learning and testing algorithmic trading ideas.

Source: github

Explorer/Multi/Algorithmic-Trading-From-Beginner-to-Advanced
18
Data index
MultiMLMedium risk⚠ UnverifiedNEW

Algorithmic-Trading-From-Beginner-to-Advanced

ali-azaryGitHub
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Net return
—
Max drawdown
—
Sharpe
—
Profit factor
—
Win rate
—
Track record
0.8y
BotFinder Analysis

BotFinder analysis pending.

About

Algorithmic-Trading-From-Beginner-to-Advanced

Algorithmic Trading From Beginner to Advanced This repository contains a free mini-book and a curated pack of Backtrader strategies and utilities for learning and testing algorithmic trading ideas. Everything is designed to be readable, hackable, and educational: you can study the code, modify the parameters, and run backtests on your own data. Contents - book/Algorithmic Trading From Beginner to Advanced.pdf A practical PDF guide that walks through the ideas behind these strategies and how to use them. - codes/ A collection of complete Backtrader strategies and helper scripts: - Single-asset backtest runner - Rolling (walk-forward style) backtester - Stress testing system for “what if” scenarios Strategies included All strategies are implemented as bt.Strategy subclasses in codes/ and use yfinance data plus Backtrader analyzers. - IchimokuCloudStrategy.py Trades confirmed breakouts from the Ichimoku Cloud (Kumo). Combines: - Price breakout from the cloud - Tenkan/Kijun cross for momentum - Chikou Span confirmation - ATR-style trailing stop for exits - KeltnerBreakoutStrategy.py Clas

PythonOpen-sourcealgorithmic-tradingbacktestingbacktrader
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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Live monitoring

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Alerts on changes: coming soon

Prop-firm compatibility

Prop-firm compatibility not provided.

Source
ali-azary
Since 2018 · 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
Stars20
Forks9
Open issues0
LanguagePython
License—
Last update2026-02-16
Created2025-11-26
Website
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