📚 10+ Books on Algorithmic Trading I Wish I Had Read Sooner
by @neurotrader
Reading the right books early saves years of confusion. These books truly leveled me up — each one unlocked a new mental model.
🧵👇【Organized by topic &amp; level】 

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Bybit has officially become a member of the International Finance Centre in Da Nang, marking a significant step in the effort to build Da Nang into a regional financial and fintech hub.

Bybit digital asset exchange officially joins the International Financial Center in Da Nang.

Market analysis shows that since November 21st, the daily RSI has remained below the 50 midline. Currently, observing the daily RSI, we see potential for it to break through the 50 midline.
Key points:
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Bullish signal: If the RSI successfully breaks through the 50 midline, this will be a worthwhile opportunity to long.
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Double resonance: At the current position, breaking through the 50 midline also inevitably means that the price will break through the daily-level descending moving average.
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Trend reversal: A double breakout signifies both a reversal in trading volume and a breakout in the trend, which, from a technical perspective, is extremely...

Shill| BTC Thread

A quick overview of institutional and trader opinions on the market outlook.

Is Bitcoin about to choose a direction?

1️⃣ For Beginners
Systematic Trading by Robert Carver
-A must-read framework for modular system design. Solves the confusion of combining strategies and instruments.
Trading Systems and Methods by Perry Kaufman
-The encyclopedia of trading. Don’t read it cover to cover — just 

2️⃣ Risk Management
The Leverage Space Trading Model by Ralph Vince
-From coin tosses to multi-strategy risk allocation. Introduces the concept of “leverage space” in trading.
The Mathematics of Money Management
-More technical. Covers trade dependency, arc sine loss, and 

3️⃣ Indicators
John Ehlers' DSP Trilogy (read in reverse order)
Based on digital signal processing. Great for cycle detection, smoothing, and novel indicators.
Statistically Sound Indicators by Timothy Masters
Focuses on indicator stationarity, normalization, and information 

4️⃣ Strategy Design
Universal Tactics of Successful Trend Trading
-Easy-to-read trend following strategies with historical context.
Stocks on the Move by Andreas Clenow
-Relative momentum applied to S&amp;P500 — also works great in crypto.
Cybernetic Trading Strategies by Murray 

5️⃣ System Development
Testing and Tuning Market Trading Systems - Timothy Masters
-Deep dive into walk-forward testing, avoiding data leakage, and optimizing out-of-sample robustness.
Permutation &amp; Randomization Tests - Timothy Masters
-Monte Carlo methods for parameter tuning, 

6️⃣ General Modeling &amp; Computation
Numerical Recipes
-Giant reference for optimization, modeling, and signal processing.
Assessing &amp; Improving Prediction &amp; Classification-Timothy Masters
-Model evaluation, ensemble techniques, and why regression/classification aren’t so 

7️⃣ Niche but Brilliant
Technical Analysis for Algorithmic Pattern Recognition
-Scientific treatment of pattern recognition in TA. Lots of testing and references.
Detecting Regime Change in Computational Finance
-Combines Directional Change algorithm with HMM to classify 

🔚 Final Thought
“No amount of reading replaces thousands of hours of failure.”
Real growth comes from coding, testing, tuning, and losing before you win.
Orignal yt link🔗：
👉 https://www.youtube.com/watch?v=ftFptCxm5ZU&pp=ygUPdGltb3RoeSBtYXN0ZXJz

Book links 🔗：（@neurotrader affiliates link)
Systematic Trading: https://amzn.to/3ClXosmTrading
Systems and Methods: https://amzn.to/3DWtmfl
Advances in Financial Machine Learning: https://amzn.to/4ji1C4VLeverage
Space Trading Model: https://amzn.to/42d7tT0
Mathematics of Money Management: