⚠️ Not Financial Advice
🚀 Help You Build Winning Trading System
10,000 hours to become a master. Make sure you use them wisely.
- 20% learning
- 40% backtest
- 40% forward/paper/live trading
Learning — DO NOT overrates.
Hands-on effort — DO NOT underrates.
10,000 hours to become a master. Make sure you use them wisely.
- 20% learning
- 40% backtest
- 40% forward/paper/live trading
Learning — DO NOT overrates.
Hands-on effort — DO NOT underrates.
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
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 …🧵🪡
• Commit years, not weeks
• Study data, not headlines
• Build, test, refine systems
Because trading rewards depth, not dabbling.
• Commit years, not weeks
• Study data, not headlines
• Build, test, refine systems
Because trading rewards depth, not dabbling.
... 🧵🪡
... 🧵🪡
• You miss setups in other markets
• Your energy drains fast
• Emotions creep in
• Overtrading becomes easy
• False signals look real
• Sleep schedule wrecked
• No scalability
Python scanning fixes all 7 in one stroke.
• You miss setups in other markets
• Your energy drains fast
• Emotions creep in
• Overtrading becomes easy
• False signals look real
• Sleep schedule wrecked
• No scalability
Python scanning fixes all 7 in one stroke.
• 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.
- what Trump will do
- how the Fed will react
- what the big firms will do next
- when the next sell-off will happen
Trading isn’t about predicting. It is about how you react to the market movement. More importantly, it's about executing your edge to perfection.
- what Trump will do
- how the Fed will react
- what the big firms will do next
- when the next sell-off will happen
Trading isn’t about predicting. It is about how you react to the market movement. More importantly, it's about executing your edge to perfection.
I guarantee you will loss money …… why?? ….🧵🪡
I guarantee you will loss money …… why?? ….🧵🪡
• Following random tips
• Oversizing positions
• Trading emotions
Luck fades, costs compound, and the market always collects its fee.
• Following random tips
• Oversizing positions
• Trading emotions
Luck fades, costs compound, and the market always collects its fee.
• First 1,000 hours: You learn you know nothing
• Second 5,000 hours: You understand why you fail
• Final 4,000 hours: You build rules that work
Most quit at stage one hoping they won.
Real traders earn their consistency the long way.
• First 1,000 hours: You learn you know nothing
• Second 5,000 hours: You understand why you fail
• Final 4,000 hours: You build rules that work
Most quit at stage one hoping they won.
Real traders earn their consistency the long way.
Top 3 common Python code to optimize your portfolio in …… 🧵🪡
Top 3 common Python code to optimize your portfolio in …… 🧵🪡
Video lectures 100% free for everyone…… 🧵🪡
Video lectures 100% free for everyone…… 🧵🪡
• Supervised Learning
• Unsupervised Learning
• Reinforcement Learning
• Deep Learning
Quant trading use cases for all types of machine learning in …….🧵🪡
• Supervised Learning
• Unsupervised Learning
• Reinforcement Learning
• Deep Learning
Quant trading use cases for all types of machine learning in …….🧵🪡
• 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 ……..🧵🪡
The code is available for free.
The code is available for free.
Marty Schwartz — 10 years
Jesse Livermore — 6 years
Mark Minervini — 6 years
Paul Tudor Jones — 5 years
The reason is that they didn't use AI 😉😉😉
Marty Schwartz — 10 years
Jesse Livermore — 6 years
Mark Minervini — 6 years
Paul Tudor Jones — 5 years
The reason is that they didn't use AI 😉😉😉
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)..…🧵🪡
Start with these powerful Python libraries for FREE.….
Start with these powerful Python libraries for FREE.….
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.…..…🧵🪡
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 …🧵🪡
Focus on the process, refine it before scaling.
Focus on the process, refine it before scaling.
- Marty Schwartz: 10 years
- Jesse Livermore: 6 years
- Mark Minervini: 6 years
- Paul Tudor Jones: 5 years
Do you really think you can master it in just a few months?
- Marty Schwartz: 10 years
- Jesse Livermore: 6 years
- Mark Minervini: 6 years
- Paul Tudor Jones: 5 years
Do you really think you can master it in just a few months?