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updated binder notebook links #60

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6f0bcf7
updated binder notebook links
pratik-urkude-algobulls Aug 10, 2024
3d10a7e
clean up
pratik-urkude-algobulls Aug 10, 2024
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2 changes: 1 addition & 1 deletion docs/member/strategies/macd_crossover.md
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Expand Up @@ -7,7 +7,7 @@ This is a trading strategy called "MACD Crossovers" implemented in Python using

!!! Tips "Jupyter Notebook for Indian Exchange (NSE)"
- **[Click here to view a working notebook for NSE exchange in cloud. No installation required. ](https://nbviewer.org/github/algobulls/pyalgotrading/blob/master/jupyter/nse_equity/macd_crossover.ipynb)**
- **[Click here to execute a working notebook for NSE exchange in cloud. No installation required. ](https://mybinder.org/v2/gh/algobulls/pyalgotrading/fe289cc5d5df69e7b87b930cce110326645cd99d?urlpath=lab%2Ftree%2Fjupyter%2Fnse_equity%2Fmacd_crossover.ipynb)**
- **[Click here to execute a working notebook for NSE exchange in cloud. No installation required. ](https://mybinder.org/v2/gh/algobulls/pyalgotrading/d1825d24e2244c9e49368a3e0be70ba870e71c5c?urlpath=lab%2Ftree%2Fjupyter%2Fnse_equity%2Fmacd_crossover.ipynb)**

# MACD Crossover

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2 changes: 1 addition & 1 deletion docs/member/strategies/mean_reversion_bollinger_bands.md
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Expand Up @@ -7,7 +7,7 @@ This is a trading strategy called "Mean Reversion Bollinger Bands" implemented i

!!! Tips "Jupyter Notebook for Indian Exchange (NSE)"
- **[Click here to view a working notebook for NSE exchange in cloud. No installation required. ](https://nbviewer.org/github/algobulls/pyalgotrading/blob/master/jupyter/nse_equity/mean_reversion_bollinger_bands.ipynb)**
- **[Click here to execute a working notebook for NSE exchange in cloud. No installation required. ](https://mybinder.org/v2/gh/algobulls/pyalgotrading/fe289cc5d5df69e7b87b930cce110326645cd99d?urlpath=lab%2Ftree%2Fjupyter%2Fnse_equity%2Fmean_reversion_bollinger_bands.ipynb)**
- **[Click here to execute a working notebook for NSE exchange in cloud. No installation required. ](https://mybinder.org/v2/gh/algobulls/pyalgotrading/d1825d24e2244c9e49368a3e0be70ba870e71c5c?urlpath=lab%2Ftree%2Fjupyter%2Fnse_equity%2Fmean_reversion_bollinger_bands.ipynb)**

## Mean Reversion Bollinger Bands
In the dynamic world of stock trading, effective strategies can make all the difference. The Mean Reversion Bollinger Bands strategy is a powerful tool that traders can use to identify potential entry and exit points in the stock market.
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2 changes: 1 addition & 1 deletion docs/member/strategies/rsi_macd_crossover.md
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Expand Up @@ -7,7 +7,7 @@ This is a trading strategy called "RSI MACD Crossovers" implemented in Python us

!!! Tips "Jupyter Notebook for Indian Exchange (NSE)"
- **[Click here to view a working notebook for NSE exchange in cloud. No installation required. ](https://nbviewer.org/github/algobulls/pyalgotrading/blob/master/jupyter/nse_equity/rsi_macd_crossover.ipynb)**
- **[Click here to execute a working notebook for NSE exchange in cloud. No installation required. ](https://mybinder.org/v2/gh/algobulls/pyalgotrading/fe289cc5d5df69e7b87b930cce110326645cd99d?urlpath=lab%2Ftree%2Fjupyter%2Fnse_equity%2Frsi_macd_crossover.ipynb)**
- **[Click here to execute a working notebook for NSE exchange in cloud. No installation required. ](https://mybinder.org/v2/gh/algobulls/pyalgotrading/d1825d24e2244c9e49368a3e0be70ba870e71c5c?urlpath=lab%2Ftree%2Fjupyter%2Fnse_equity%2Frsi_macd_crossover.ipynb)**

# RSI and MACD Crossover
In the dynamic world of stock trading, effective strategies are the key to success. The combination of two powerful technical indicators, the Moving Average Convergence Divergence (MACD) and the Relative Strength Index (RSI), can be a game-changer for traders. This strategy leverages MACD and RSI crossovers to identify potential entry and exit points in the stock market.
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2 changes: 1 addition & 1 deletion docs/member/strategies/volatility_trend_atr.md
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Expand Up @@ -7,7 +7,7 @@ This is a trading strategy called "Volatility Trends ATR" implemented in Python

!!! Tips "Jupyter Notebook for Indian Exchange (NSE)"
- **[Click here to view a working notebook for NSE exchange in cloud. No installation required. ](https://nbviewer.org/github/algobulls/pyalgotrading/blob/master/jupyter/nse_equity/volatility_trend_atr.ipynb)**
- **[Click here to execute a working notebook for NSE exchange in cloud. No installation required. ](https://mybinder.org/v2/gh/algobulls/pyalgotrading/fe289cc5d5df69e7b87b930cce110326645cd99d?urlpath=lab%2Ftree%2Fjupyter%2Fnse_equity%2Fvolatility_trend_atr.ipynb)**
- **[Click here to execute a working notebook for NSE exchange in cloud. No installation required. ](https://mybinder.org/v2/gh/algobulls/pyalgotrading/d1825d24e2244c9e49368a3e0be70ba870e71c5c?urlpath=lab%2Ftree%2Fjupyter%2Fnse_equity%2Fvolatility_trend_atr.ipynb)**

# Volatility Trends with Average True Range (ATR) Indicator
In the ever-changing realm of stock trading, market volatility can be both an opportunity and a challenge. Traders and investors require a reliable instrument to gauge price fluctuations and devise informed strategies. The Average True Range (ATR) steps in as a robust technical indicator to fulfill this role. ATR delivers valuable insights into market volatility trends, equipping traders with the necessary tools to make calculated decisions in the stock market.
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