QuantHustle.com | Algo Trading Blog
@quanthustle.bsky.social
📈 Algo Trader | 10 Yrs+ Building Quant System
⚠️ Not Financial Advice
🚀 Help You Build Winning Trading System
⚠️ Not Financial Advice
🚀 Help You Build Winning Trading System
My 8 Step-by-step guide to start time series (TS) analysis for trading:
1️⃣ Learn Python - Focus on pandas, Statsmodels, NumPy, matplotlib
2️⃣ Collect Data - Gather historical price data
3️⃣ Check stationarity - Conduct ADF test
1️⃣ Learn Python - Focus on pandas, Statsmodels, NumPy, matplotlib
2️⃣ Collect Data - Gather historical price data
3️⃣ Check stationarity - Conduct ADF test
December 3, 2025 at 9:00 AM
My 8 Step-by-step guide to start time series (TS) analysis for trading:
1️⃣ Learn Python - Focus on pandas, Statsmodels, NumPy, matplotlib
2️⃣ Collect Data - Gather historical price data
3️⃣ Check stationarity - Conduct ADF test
1️⃣ Learn Python - Focus on pandas, Statsmodels, NumPy, matplotlib
2️⃣ Collect Data - Gather historical price data
3️⃣ Check stationarity - Conduct ADF test
Stanford Artificial Intelligence Free Course in YouTube is a gold mine!
Course highlights
• Linear Regression
• Linear Classification
• Feature Templates
• K-means
• Markov Network
• Bayesian Networks
• Reinforcement Learning
$0….course link in …🧵🪡
Course highlights
• Linear Regression
• Linear Classification
• Feature Templates
• K-means
• Markov Network
• Bayesian Networks
• Reinforcement Learning
$0….course link in …🧵🪡
December 3, 2025 at 12:00 AM
Stanford Artificial Intelligence Free Course in YouTube is a gold mine!
Course highlights
• Linear Regression
• Linear Classification
• Feature Templates
• K-means
• Markov Network
• Bayesian Networks
• Reinforcement Learning
$0….course link in …🧵🪡
Course highlights
• Linear Regression
• Linear Classification
• Feature Templates
• K-means
• Markov Network
• Bayesian Networks
• Reinforcement Learning
$0….course link in …🧵🪡
Forget about yfinance. These professional data sources are essential for every serious quant trader.…🧵🪡
December 2, 2025 at 12:00 AM
Forget about yfinance. These professional data sources are essential for every serious quant trader.…🧵🪡
The true cost of launching your first quant trading system
• Scipy: FREE
• Python: FREE
• pandas: FREE
• IBKR API: FREE
• VectorBT: FREE
• Statsmodel: FREE
• Scikit-learn: FREE
You can build strategies right from your laptop for FREE.
The only investment? Your time and effort.
• Scipy: FREE
• Python: FREE
• pandas: FREE
• IBKR API: FREE
• VectorBT: FREE
• Statsmodel: FREE
• Scikit-learn: FREE
You can build strategies right from your laptop for FREE.
The only investment? Your time and effort.
December 1, 2025 at 12:00 PM
The true cost of launching your first quant trading system
• Scipy: FREE
• Python: FREE
• pandas: FREE
• IBKR API: FREE
• VectorBT: FREE
• Statsmodel: FREE
• Scikit-learn: FREE
You can build strategies right from your laptop for FREE.
The only investment? Your time and effort.
• Scipy: FREE
• Python: FREE
• pandas: FREE
• IBKR API: FREE
• VectorBT: FREE
• Statsmodel: FREE
• Scikit-learn: FREE
You can build strategies right from your laptop for FREE.
The only investment? Your time and effort.
I tried to backtest this pattern: short the stock once this pattern detected. The truth is, it is a 43% win rate strategy, and it is a losing money strategy in long run.
✅ Listen to nobody
✅ Learn Python and backtest yourself
✅ Build a systematic way to validate anything
✅ Listen to nobody
✅ Learn Python and backtest yourself
✅ Build a systematic way to validate anything
November 28, 2025 at 9:00 AM
I tried to backtest this pattern: short the stock once this pattern detected. The truth is, it is a 43% win rate strategy, and it is a losing money strategy in long run.
✅ Listen to nobody
✅ Learn Python and backtest yourself
✅ Build a systematic way to validate anything
✅ Listen to nobody
✅ Learn Python and backtest yourself
✅ Build a systematic way to validate anything
“Gurus” Teach You Head and Shoulders Pattern, and you start trading this pattern?!?!
I guarantee you will loss money …… why?? ….🧵🪡
I guarantee you will loss money …… why?? ….🧵🪡
November 28, 2025 at 9:00 AM
“Gurus” Teach You Head and Shoulders Pattern, and you start trading this pattern?!?!
I guarantee you will loss money …… why?? ….🧵🪡
I guarantee you will loss money …… why?? ….🧵🪡
3️⃣ Minimum Variance Optimizer -> reducing the fluctuations and volatility of the portfolio as much as possible
November 27, 2025 at 9:00 AM
3️⃣ Minimum Variance Optimizer -> reducing the fluctuations and volatility of the portfolio as much as possible
2️⃣ Maximum Sharpe Ratio Optimizer -> prioritize maximizing returns relative to the risk taken.
November 27, 2025 at 9:00 AM
2️⃣ Maximum Sharpe Ratio Optimizer -> prioritize maximizing returns relative to the risk taken.
1️⃣ Risk Parity Optimizer -> diversification based on risk contributions
November 27, 2025 at 9:00 AM
1️⃣ Risk Parity Optimizer -> diversification based on risk contributions
Portfolio optimization in Python is so EASY!
Top 3 common Python code to optimize your portfolio in …… 🧵🪡
Top 3 common Python code to optimize your portfolio in …… 🧵🪡
November 27, 2025 at 9:00 AM
Portfolio optimization in Python is so EASY!
Top 3 common Python code to optimize your portfolio in …… 🧵🪡
Top 3 common Python code to optimize your portfolio in …… 🧵🪡
Google wants to help you to learn Python for FREE
Video lectures 100% free for everyone…… 🧵🪡
Video lectures 100% free for everyone…… 🧵🪡
November 27, 2025 at 12:00 AM
Google wants to help you to learn Python for FREE
Video lectures 100% free for everyone…… 🧵🪡
Video lectures 100% free for everyone…… 🧵🪡
IT’S 2025, NO EXCUSES NOT TO START ALGO TRADING!!
• Wifi is FREE.
• Data - yfinance is FREE.
• Backtesting - VectorBT is FREE.
• Program Language - Python is FREE.
• Data Manipulation - Pandas is FREE.
• Data Visualization - Matlab plot is FREE.
• Education in the internet is FREE ……..🧵🪡
• Wifi is FREE.
• Data - yfinance is FREE.
• Backtesting - VectorBT is FREE.
• Program Language - Python is FREE.
• Data Manipulation - Pandas is FREE.
• Data Visualization - Matlab plot is FREE.
• Education in the internet is FREE ……..🧵🪡
November 26, 2025 at 9:00 AM
IT’S 2025, NO EXCUSES NOT TO START ALGO TRADING!!
• Wifi is FREE.
• Data - yfinance is FREE.
• Backtesting - VectorBT is FREE.
• Program Language - Python is FREE.
• Data Manipulation - Pandas is FREE.
• Data Visualization - Matlab plot is FREE.
• Education in the internet is FREE ……..🧵🪡
• Wifi is FREE.
• Data - yfinance is FREE.
• Backtesting - VectorBT is FREE.
• Program Language - Python is FREE.
• Data Manipulation - Pandas is FREE.
• Data Visualization - Matlab plot is FREE.
• Education in the internet is FREE ……..🧵🪡
Free code available on Github → github.com/yhilpisch/p...
November 25, 2025 at 9:00 AM
Free code available on Github → github.com/yhilpisch/p...
Good Book - Python for Algorithmic Trading.
The code is available for free.
The code is available for free.
November 25, 2025 at 9:00 AM
Good Book - Python for Algorithmic Trading.
The code is available for free.
The code is available for free.
Factor model tutorial in GS git repo is showing volatility of factors
November 25, 2025 at 12:00 AM
Factor model tutorial in GS git repo is showing volatility of factors
Analytics example in GS git repo is plotting 1mth implied volatility of SPX
November 25, 2025 at 12:00 AM
Analytics example in GS git repo is plotting 1mth implied volatility of SPX
Dataset example in GS git repo is showing 1mth implied volatility of SPX
November 25, 2025 at 12:00 AM
Dataset example in GS git repo is showing 1mth implied volatility of SPX
GS portfolio analytics tool is showing volatility factor
November 25, 2025 at 12:00 AM
GS portfolio analytics tool is showing volatility factor
A demo video on GS plot tool is showing volatility spread
November 25, 2025 at 12:00 AM
A demo video on GS plot tool is showing volatility spread
GS Quant is a toolkit issued by quants developers at Goldman Sachs (available in github). I had a thorough look at it and found that it revealed the secret for quant trading
November 25, 2025 at 12:00 AM
GS Quant is a toolkit issued by quants developers at Goldman Sachs (available in github). I had a thorough look at it and found that it revealed the secret for quant trading
Goldman Sachs just let slip the ultimate secret of quant trading...….🧵🪡
November 25, 2025 at 12:00 AM
Goldman Sachs just let slip the ultimate secret of quant trading...….🧵🪡
Tired of missing the big moves? Here're momentum strategies that actually work.
1️⃣ Moving Average Crossover: Buy when a short-term moving average crosses above a long-term moving average (Golden Cross), and sell on a bearish crossover (Death Cross)..…🧵🪡
1️⃣ Moving Average Crossover: Buy when a short-term moving average crosses above a long-term moving average (Golden Cross), and sell on a bearish crossover (Death Cross)..…🧵🪡
November 24, 2025 at 12:00 PM
Tired of missing the big moves? Here're momentum strategies that actually work.
1️⃣ Moving Average Crossover: Buy when a short-term moving average crosses above a long-term moving average (Golden Cross), and sell on a bearish crossover (Death Cross)..…🧵🪡
1️⃣ Moving Average Crossover: Buy when a short-term moving average crosses above a long-term moving average (Golden Cross), and sell on a bearish crossover (Death Cross)..…🧵🪡
Want to build your first profitable quant trading system?
Start with these powerful Python libraries for FREE.….
Start with these powerful Python libraries for FREE.….
November 24, 2025 at 9:00 AM
Want to build your first profitable quant trading system?
Start with these powerful Python libraries for FREE.….
Start with these powerful Python libraries for FREE.….
A research paper outlines a systematic strategy for identifying high-performing stocks that consistently beat the market..
It demonstrates that increases mean returns by at least 7.5% annually from 1975 to 1996.
Paper link → www.jstor.org/stable/2672906
It demonstrates that increases mean returns by at least 7.5% annually from 1975 to 1996.
Paper link → www.jstor.org/stable/2672906
November 22, 2025 at 11:56 PM
A research paper outlines a systematic strategy for identifying high-performing stocks that consistently beat the market..
It demonstrates that increases mean returns by at least 7.5% annually from 1975 to 1996.
Paper link → www.jstor.org/stable/2672906
It demonstrates that increases mean returns by at least 7.5% annually from 1975 to 1996.
Paper link → www.jstor.org/stable/2672906
Most value investors are using flawed stock-screening methods, costing them millions.
Instead of following a disciplined, systematic approach to assess stock performance, many blindly rely on unverified advice from gurus.…..…🧵🪡
Instead of following a disciplined, systematic approach to assess stock performance, many blindly rely on unverified advice from gurus.…..…🧵🪡
November 22, 2025 at 11:56 PM
Most value investors are using flawed stock-screening methods, costing them millions.
Instead of following a disciplined, systematic approach to assess stock performance, many blindly rely on unverified advice from gurus.…..…🧵🪡
Instead of following a disciplined, systematic approach to assess stock performance, many blindly rely on unverified advice from gurus.…..…🧵🪡