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Author: usdaud

en/pedia/1/1-2-3_reversal_pattern.md

@@ -86,7 +86,7 @@ Integrate [risk management](../r/risk_management.md) practices such as [position
 ## Examples of Algorithmic Trading Firms
 Several [algorithmic trading](../a/algorithmic_trading.md) firms employ various [market](../m/market.md) strategies, including [pattern recognition](../p/pattern_recognition.md) such as the 1-2-3 [Reversal](../r/reversal.md) Pattern. These firms invest heavily in technology and [quantitative analysis](../q/quantitative_analysis.md) to [gain](../g/gain.md) [market](../m/market.md) advantages:
 
-- **Two Sigma**: A renowned [hedge fund](../h/hedge_fund.md) that implements machine learning and advanced algorithms. More information can be found at [Two Sigma](https://www.twosigma.com).
+- **Two Sigma**: A renowned [hedge fund](../h/hedge_fund.md) that implements [machine learning](../m/machine_learning.md) and advanced algorithms. More information can be found at [Two Sigma](https://www.twosigma.com).
 - **Renaissance Technologies**: Another leading [hedge fund](../h/hedge_fund.md) known for its [quantitative trading](../q/quantitative_trading.md) strategies. Visit their site at [Renaissance Technologies](https://www.rentec.com).
 
 ## Conclusion

en/pedia/1/1-day_rsi.md

@@ -129,7 +129,7 @@ APIs like [Alpaca](../a/alpaca.md), [Interactive Brokers](../i/interactive_broke
 
 ### Machine Learning Integrations
 
-Integrating machine learning models can improve the accuracy and profitability of RSI-based strategies. For example, using classifiers to predict RSI behavior or clustering techniques to identify [market](../m/market.md) regimes.
+Integrating [machine learning](../m/machine_learning.md) models can improve the accuracy and profitability of RSI-based strategies. For example, using classifiers to predict RSI behavior or clustering techniques to identify [market](../m/market.md) regimes.
 
 ### Risk Management
 
@@ -141,4 +141,4 @@ Ensuring compliance with trading regulations is crucial for [algorithmic trading
 
 ## Conclusion
 
-The 1-Day RSI is a powerful tool for identifying [short-term trading](../s/short-term_trading.md) opportunities, particularly in the realms of [mean reversion](../m/mean_reversion.md) and [trend following](../t/trend_following.md) strategies. However, its effectiveness is significantly enhanced when used in combination with additional indicators and [robust](../r/robust.md) [risk management](../r/risk_management.md) practices. By integrating advanced tools and platforms, and considering innovative techniques such as machine learning, traders can further bolster their strategies' accuracy and profitability.
+The 1-Day RSI is a powerful tool for identifying [short-term trading](../s/short-term_trading.md) opportunities, particularly in the realms of [mean reversion](../m/mean_reversion.md) and [trend following](../t/trend_following.md) strategies. However, its effectiveness is significantly enhanced when used in combination with additional indicators and [robust](../r/robust.md) [risk management](../r/risk_management.md) practices. By integrating advanced tools and platforms, and considering innovative techniques such as [machine learning](../m/machine_learning.md), traders can further bolster their strategies' accuracy and profitability.

en/pedia/1/1-hour_chart.md

@@ -89,7 +89,7 @@ High-frequency trading (HFT) firms, such as Citadel Securities (https://citadels
 
 ### Hedge Funds
 
-[Hedge](../h/hedge.md) funds like Two Sigma (https://www.twosigma.com) use 1-hour charts as part of their [quantitative trading](../q/quantitative_trading.md) strategies. By integrating various [technical indicators](../t/technical_indicators.md) and machine learning models, they can predict [market](../m/market.md) movements with high accuracy.
+[Hedge](../h/hedge.md) funds like Two Sigma (https://www.twosigma.com) use 1-hour charts as part of their [quantitative trading](../q/quantitative_trading.md) strategies. By integrating various [technical indicators](../t/technical_indicators.md) and [machine learning](../m/machine_learning.md) models, they can predict [market](../m/market.md) movements with high accuracy.
 
 ### Proprietary Trading Firms
 
@@ -117,7 +117,7 @@ Developing and maintaining the technology [infrastructure](../i/infrastructure.m
 
 ### Artificial Intelligence and Machine Learning
 
-The integration of [artificial intelligence](../a/artificial_intelligence_in_trading.md) (AI) and machine learning (ML) in [algorithmic trading](../a/algorithmic_trading.md) is poised to revolutionize the use of 1-hour charts. Advanced models can analyze vast amounts of data, identify complex patterns, and adapt to evolving [market](../m/market.md) conditions.
+The integration of [artificial intelligence](../a/artificial_intelligence_in_trading.md) (AI) and [machine learning](../m/machine_learning.md) (ML) in [algorithmic trading](../a/algorithmic_trading.md) is poised to revolutionize the use of 1-hour charts. Advanced models can analyze vast amounts of data, identify complex patterns, and adapt to evolving [market](../m/market.md) conditions.
 
 ### Increased Adoption of Cloud Computing
 

en/pedia/1/10-day_rsi.md

@@ -71,7 +71,7 @@ Several platforms and software [offer](../o/offer.md) tools for implementing and
 
 ## Real-World Usage
 
-Major [hedge](../h/hedge.md) funds and trading firms utilize RSI in their algorithmic strategies, although they often combine it with more complex algorithms and machine learning models.
+Major [hedge](../h/hedge.md) funds and trading firms utilize RSI in their algorithmic strategies, although they often combine it with more complex algorithms and [machine learning](../m/machine_learning.md) models.
 
 For example, Renaissance Technologies, one of the most successful [hedge](../h/hedge.md) funds, is known for using sophisticated algorithms that likely combine [multiple](../m/multiple.md) [technical indicators](../t/technical_indicators.md), including RSI. More about Renaissance Technologies can be found [here](https://www.rentec.com/).
 

en/pedia/1/10-k_report.md

@@ -40,7 +40,7 @@ The 10-K report is an essential document for understanding publicly-traded compa
 
 ### Data Extraction and Parsing
 
-Algo traders often employ [Natural Language Processing](../n/natural_language_processing_(nlp)_in_trading.md) (NLP) and machine learning models to extract and parse qualitative data from the 10-K report. These technologies help in identifying sentiment, categorizing [risk factors](../r/risk_factors_in_trading.md), and even detecting subtle shifts in management tone. Python libraries such as `BeautifulSoup` and `NLTK` are popular for web scraping and text analysis of 10-K filings.
+Algo traders often employ [Natural Language Processing](../n/natural_language_processing_(nlp)_in_trading.md) (NLP) and [machine learning](../m/machine_learning.md) models to extract and parse qualitative data from the 10-K report. These technologies help in identifying sentiment, categorizing [risk factors](../r/risk_factors_in_trading.md), and even detecting subtle shifts in management tone. Python libraries such as `BeautifulSoup` and `NLTK` are popular for web scraping and text analysis of 10-K filings.
 
 ### Quantitative Analysis
 
@@ -81,10 +81,10 @@ Consider an algorithm designed to [trade](../t/trade.md) [stocks](../s/stock.md)
 - **BeautifulSoup**: For web scraping.
 - **NLTK**: For [natural language processing](../n/natural_language_processing_(nlp)_in_trading.md).
 - **pandas**: For data manipulation and analysis.
-- **Scikit-learn**: For machine learning models.
+- **Scikit-learn**: For [machine learning](../m/machine_learning.md) models.
 
 ## Conclusion
 
-The 10-K report is a treasure trove of data for algorithmic traders, [offering](../o/offering.md) deep insights into a company's operations, [financial health](../f/financial_health.md), and risks. By effectively leveraging this information, algo traders can create more precise and profitable [trading strategies](../t/trading_strategies.md). As technology continues to evolve, the integration of NLP, machine learning, and advanced analytics into the parsing and analysis of 10-K filings [will](../w/will.md) only grow, making these reports even more valuable to the trading community.
+The 10-K report is a treasure trove of data for algorithmic traders, [offering](../o/offering.md) deep insights into a company's operations, [financial health](../f/financial_health.md), and risks. By effectively leveraging this information, algo traders can create more precise and profitable [trading strategies](../t/trading_strategies.md). As technology continues to evolve, the integration of NLP, [machine learning](../m/machine_learning.md), and advanced analytics into the parsing and analysis of 10-K filings [will](../w/will.md) only grow, making these reports even more valuable to the trading community.
 
 For more information on how to access 10-K reports and utilize them in your [trading strategies](../t/trading_strategies.md), visit the SEC’s EDGAR database: [EDGAR Database](https://www.sec.gov/edgar/searchedgar/companysearch.html).

en/pedia/1/10-period_rsi.md

@@ -68,11 +68,11 @@ print(df)
 
 ### Utilizing Machine Learning
 
-Machine learning can enhance RSI-based strategies by:
+[Machine learning](../m/machine_learning.md) can enhance RSI-based strategies by:
 - **Predictive Modelling**: Using historical RSI values and price actions to predict future price movements.
 - **Classification**: Identifying [market](../m/market.md) conditions suitable for trading, e.g., [overbought](../o/overbought.md)/[oversold](../o/oversold.md) status.
 
-Machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn can be used to develop sophisticated models enhancing the decision-making process s of [algorithmic trading](../a/algorithmic_trading.md) systems.
+[Machine learning](../m/machine_learning.md) frameworks like [TensorFlow](../t/tensorflow.md), [PyTorch](../p/pytorch.md), and Scikit-learn can be used to develop sophisticated models enhancing the decision-making process s of [algorithmic trading](../a/algorithmic_trading.md) systems.
 
 ## Case Studies
 
@@ -88,4 +88,4 @@ Several academic papers and articles have explored the [optimization](../o/optim
 
 ## Conclusion
 
-The 10-period RSI is a powerful tool for traders seeking to [capitalize](../c/capitalize.md) on short-term price movements. Its higher sensitivity compared to longer-period RSIs makes it particularly suitable for active traders and [algorithmic trading](../a/algorithmic_trading.md) applications. Coupled with modern programming and machine learning technologies, it offers a [robust](../r/robust.md) framework for developing sophisticated [trading strategies](../t/trading_strategies.md).
+The 10-period RSI is a powerful tool for traders seeking to [capitalize](../c/capitalize.md) on short-term price movements. Its higher sensitivity compared to longer-period RSIs makes it particularly suitable for active traders and [algorithmic trading](../a/algorithmic_trading.md) applications. Coupled with modern programming and [machine learning](../m/machine_learning.md) technologies, it offers a [robust](../r/robust.md) framework for developing sophisticated [trading strategies](../t/trading_strategies.md).

en/pedia/1/10-q_sec_form.md

@@ -73,7 +73,7 @@ By comparing the current 10-Q with past filings, algorithms can spot trends in [
 ## Best Practices for AlgoTrading with 10-Q Data
 
 ### 1. Automation
-Automate the extraction and analysis of 10-Q data using web scraping tools, NLP, and machine learning models to ensure timely processing and minimize manual intervention.
+Automate the extraction and analysis of 10-Q data using web scraping tools, NLP, and [machine learning](../m/machine_learning.md) models to ensure timely processing and minimize manual intervention.
 
 ### 2. Integration with Trading Platforms
 Integrate 10-Q data analysis with real-time trading platforms to execute trades based on insights gleaned from quarterly reports.

en/pedia/1/100%_equities_strategy.md

@@ -21,10 +21,10 @@ In the universe of [algorithmic trading](../a/accountability.md), the 100% equit
 
 ### Machine Learning Algorithms
 
-Machine learning has emerged as a powerful tool in [algorithmic trading](../a/accountability.md). By training algorithms on historical data, machine learning models can identify complex patterns and make real-time trading decisions. Popular techniques include:
+[Machine learning](../m/machine_learning.md) has emerged as a powerful tool in [algorithmic trading](../a/accountability.md). By training algorithms on historical data, [machine learning](../m/machine_learning.md) models can identify complex patterns and make real-time trading decisions. Popular techniques include:
 
-- **Supervised Learning**: Algorithms are trained on labeled data to predict future stock prices based on historical patterns.
-- **Reinforcement Learning**: This technique involves training algorithms through trial and error, where they learn to make optimal trading decisions by maximizing cumulative rewards.
+- **[Supervised Learning](../s/supervised_learning.md)**: Algorithms are trained on labeled data to predict future stock prices based on historical patterns.
+- **[Reinforcement Learning](../r/reinforcement_learning.md)**: This technique involves training algorithms through trial and error, where they learn to make optimal trading decisions by maximizing cumulative rewards.
 
 ### High-Frequency Trading (HFT)
 

en/pedia/1/15-minute_chart.md

@@ -125,7 +125,7 @@ Algorithms based on 15-minute charts [risk](../r/risk.md) [overfitting](../o/ove
 
 ### AI and Machine Learning
 
-The integration of AI and machine learning with 15-minute chart data is set to revolutionize algo-trading:
+The integration of AI and [machine learning](../m/machine_learning.md) with 15-minute chart data is set to revolutionize algo-trading:
 - **[Pattern Recognition](../p/pattern_recognition.md)**: Enhanced capabilities to detect and act on complex [chart patterns](../c/chart_patterns.md).
 - **[Adaptive Algorithms](../a/adaptive_algorithms.md)**: Models that continuously learn from [market](../m/market.md) data and adjust their strategies in real-time.
 

en/pedia/1/2-hour_chart.md

@@ -86,7 +86,7 @@ Implementing [risk management](../r/risk_management.md) measures is essential re
 
 ### Continuous Optimization
 
-[Algorithmic trading](../a/algorithmic_trading.md) is not a "set it and forget it" endeavor. Continuous monitoring and [optimization](../o/optimization.md) of your trading algorithm are crucial. Using 2-hour data, you can periodically review your strategy's performance, recalibrate parameters, and apply machine learning techniques for improved decision-making.
+[Algorithmic trading](../a/algorithmic_trading.md) is not a "set it and forget it" endeavor. Continuous monitoring and [optimization](../o/optimization.md) of your trading algorithm are crucial. Using 2-hour data, you can periodically review your strategy's performance, recalibrate parameters, and apply [machine learning](../m/machine_learning.md) techniques for improved decision-making.
 
 ## Conclusion