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200+ Posts (10$/m) on Backtesting, Strategies, Alpha, code Quant Framework GitHub
Join over 3500 subscribers and get full CODE of the Framework.
Jan 4, 2024
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Jakub
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200+ Posts (10$/m) on Backtesting, Strategies, Alpha, code Quant Framework GitHub
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2
How to make more profit from Crypto - smart crypto bots tuning with Optuna
The 5x improvement in Sharpe ratio (0.27 → 1.39) while maintaining similar drawdown - interested how to do it?
Aug 13
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Jakub
5
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How to make more profit from Crypto - smart crypto bots tuning with Optuna
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Beyond Traditional DCA: Building an Adaptive Dollar-Cost Averaging System
What happens when you add intelligence to systematic investing.
Aug 11
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Jakub
2
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Beyond Traditional DCA: Building an Adaptive Dollar-Cost Averaging System
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QuantJourney: An MDM-Grade Canonical Gateway and Research Data Lake
TL;DR: We’re still working to add API access and MCP integration to QuantJourney, so agents, IDEs, and services will soon be able to fetch canonical…
Aug 11
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Jakub
2
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QuantJourney: An MDM-Grade Canonical Gateway and Research Data Lake
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Mastering Level 2 Data in Crypto: Read the Order Book
“If price charts are the map, Level 2 data is the terrain.”
Aug 2
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Jakub
3
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Mastering Level 2 Data in Crypto: Read the Order Book
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Top 10
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Top 10 Posts on Strategies
These posts focus on actionable trading strategies, including factor investing, momentum, and alpha generation.
Jun 24
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Jakub
2
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Top 10 Posts on Strategies
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Top 10 Posts on Quantitative Infrastructure
These posts cover QuantJourney’s technical infrastructure, including backtesting, data management, and cloud setups.
Jun 24
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Jakub
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Top 10 Posts on Quantitative Infrastructure
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Top 10 Posts for Beginners
Some posts are paid.
Jun 24
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Jakub
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Top 10 Posts for Beginners
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Top 10 Posts on AI and Machine Learning
Top 10 Posts on AI and Machine Learning
Jun 24
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Jakub
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Top 10 Posts on AI and Machine Learning
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To get access to CODE on GitHub and read 2-3 posts weekly please:
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Framework
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Beyond Traditional DCA: Building an Adaptive Dollar-Cost Averaging System
What happens when you add intelligence to systematic investing.
Aug 11
•
Jakub
2
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Beyond Traditional DCA: Building an Adaptive Dollar-Cost Averaging System
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Email
Notes
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QuantJourney: An MDM-Grade Canonical Gateway and Research Data Lake
TL;DR: We’re still working to add API access and MCP integration to QuantJourney, so agents, IDEs, and services will soon be able to fetch canonical…
Aug 11
•
Jakub
2
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QuantJourney: An MDM-Grade Canonical Gateway and Research Data Lake
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Building Better Trading Signals: Lessons from Numerai's Alpha Framework
Most quantitative traders evaluate their signals using simple correlation with future returns.
Aug 1
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Jakub
5
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Building Better Trading Signals: Lessons from Numerai's Alpha Framework
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Production-Ready Ubuntu Server Setup for Quantitative Trading
TL;DR: This automated shell script turns a fresh Ubuntu server into a production-ready quantitative trading environment in under 5 minutes. It includes…
Jul 1
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Jakub
4
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Production-Ready Ubuntu Server Setup for Quantitative Trading
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Building AI Agents - Do It Yourself (Part 2)
Learn How to Use Frameworks to Build Your Own AI Agents
Jun 30
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Jakub
6
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Building AI Agents - Do It Yourself (Part 2)
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The Power of Spread and Liquidity Monitoring in Trading
In the world of trading, every basis point matters.
Jun 28
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Jakub
7
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The Power of Spread and Liquidity Monitoring in Trading
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Building AI Agents - Do It Yourself (Part 1)
Understanding the Basics
Jun 19
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Jakub
6
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Building AI Agents - Do It Yourself (Part 1)
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AI in Quantitative Investing: JPMorgan’s D.A.V.I.D., BloombergGPT, and NL2SQL Challenges
Following my post, "From Alpha to Agents: AI in Quantitative Investing", I explore JPMorgan’s D.A.V.I.D., a multi-agent AI system (MAS) revolutionizing…
Jun 5
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Jakub
9
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AI in Quantitative Investing: JPMorgan’s D.A.V.I.D., BloombergGPT, and NL2SQL Challenges
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Crypto
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How to make more profit from Crypto - smart crypto bots tuning with Optuna
The 5x improvement in Sharpe ratio (0.27 → 1.39) while maintaining similar drawdown - interested how to do it?
Aug 13
•
Jakub
5
Share this post
Quant Journey
How to make more profit from Crypto - smart crypto bots tuning with Optuna
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Facebook
Email
Notes
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Mastering Level 2 Data in Crypto: Read the Order Book
“If price charts are the map, Level 2 data is the terrain.”
Aug 2
•
Jakub
3
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Mastering Level 2 Data in Crypto: Read the Order Book
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How to Systematically Identify the Most Profitable Crypto Futures Contracts
How to systematically identify the most profitable crypto futures contracts using Python and quantitative analysis
Jul 9
•
Jakub
3
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How to Systematically Identify the Most Profitable Crypto Futures Contracts
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Beyond Indicators: Building Trend-Aware Signals with Adaptive Quant KAMA
As we develop our crypto trading bots and backtesting QuantJourney framework, one goal is clear: improve how we detect and trade trends to enhance…
Jun 23
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Jakub
6
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Beyond Indicators: Building Trend-Aware Signals with Adaptive Quant KAMA
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Adaptive Trend-Following Strategy in Crypto: From Classic Signals to Real-Time Execution
Blending SMA, RSI, ATR, and dynamic sizing to build a live-executed BTC/USDT strategy with WebSockets, buffer logic, and real-time performance metrics.
Jun 23
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Jakub
8
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Adaptive Trend-Following Strategy in Crypto: From Classic Signals to Real-Time Execution
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Bitcoin Yield Curve: Quant Strategies for Arbitrage
TL;DR: This is the second post in our crypto quant series.
Jun 20
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Jakub
4
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Bitcoin Yield Curve: Quant Strategies for Arbitrage
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1
Funding Rates in Crypto: The Hidden Cost, Sentiment Signal, and Strategy Trigger
At QuantJourney, we’re actively building an advanced API platform for crypto data, focused on systematic trading, signal generation, and quant research…
Jun 16
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Jakub
7
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Funding Rates in Crypto: The Hidden Cost, Sentiment Signal, and Strategy Trigger
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Build Your Own Crypto Trading Bot – Hands-On Course with Alex
REAL WORKING COMPLETE BOT
May 30
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Jakub
5
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Build Your Own Crypto Trading Bot – Hands-On Course with Alex
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Strategies
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Strategy 3: EMA Crossover + ADX
QuantJourney Strategy Series – Research-Grade Framework
Apr 14
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Jakub
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Strategy 3: EMA Crossover + ADX
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Strategy 2: Ichimoku Cloud + RSI
QuantJourney Strategy Series – Research-Grade Framework
Apr 14
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Jakub
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Strategy 2: Ichimoku Cloud + RSI
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Strategy 4: SuperTrend + CCI
QuantJourney Strategy Series – Research-Grade Framework
Apr 14
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Jakub
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Strategy 4: SuperTrend + CCI
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Strategy 5: MACD + RSI Confirmation
QuantJourney Strategy Series – Research-Grade Framework
Apr 14
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Jakub
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Strategy 5: MACD + RSI Confirmation
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Strategy 6: Support/Resistance Breakout + Volume Confirmation
QuantJourney Strategy Series – Research-Grade Framework
Apr 14
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Jakub
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Strategy 6: Support/Resistance Breakout + Volume Confirmation
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Zero to Hero
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NumPy Broadcasting (Python)
NumPy broadcasting is a powerful feature that allows array operations to be performed on arrays of different shapes efficiently.
Aug 2, 2024
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Jakub
2
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NumPy Broadcasting (Python)
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Portfolio Diversification: Correlation and Risk Reduction
Diversification is often described as the only "free lunch" in investing. It's a risk management technique that mixes a wide variety of investments…
Jul 25, 2024
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Jakub
1
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Portfolio Diversification: Correlation and Risk Reduction
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Sharpe Ratio: Evaluating Risk-Adjusted Returns
The Sharpe ratio is a powerful tool in an investor's arsenal, providing a way to evaluate the performance of an investment while taking into account the…
Jul 25, 2024
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Jakub
1
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Sharpe Ratio: Evaluating Risk-Adjusted Returns
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Understanding Beta: Measuring Market Sensitivity
Beta is a fundamental concept in finance that measures how sensitive an investment is to overall market movements. It's an essential tool for investors…
Jul 25, 2024
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Jakub
1
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Understanding Beta: Measuring Market Sensitivity
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Understanding Volatility in Portfolio Theory
Introduction
Jul 25, 2024
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Jakub
1
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Understanding Volatility in Portfolio Theory
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Mastering Python Magic Methods in OOP for Financial Applications
I have often encountered situations where using Object-Oriented Programming (OOP) in Python can greatly enhance the efficiency and readability of my…
Jun 16, 2024
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Jakub
1
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Mastering Python Magic Methods in OOP for Financial Applications
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Comprehensive Guide to Writing Python Code
Python is a versatile, high-level programming language known for its readability and efficiency.
Jun 10, 2024
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Jakub
1
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Comprehensive Guide to Writing Python Code
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Backtesting for Beginners
How to make money on Apple and Google..
Mar 5, 2024
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Jakub
1
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Backtesting for Beginners
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Quant Journey
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