From 6f0bcf7301f96a4428a4caecb94f557774a68fd8 Mon Sep 17 00:00:00 2001 From: pratik-urkude-algobulls Date: Sat, 10 Aug 2024 18:41:34 +0530 Subject: [PATCH 1/2] updated binder notebook links --- docs/member/strategies/macd_crossover.md | 2 +- docs/member/strategies/mean_reversion_bollinger_bands.md | 2 +- docs/member/strategies/rsi_macd_crossover.md | 2 +- docs/member/strategies/volatility_trend_atr.md | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/member/strategies/macd_crossover.md b/docs/member/strategies/macd_crossover.md index 8304d07a..92e5f5cd 100644 --- a/docs/member/strategies/macd_crossover.md +++ b/docs/member/strategies/macd_crossover.md @@ -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%2Faroon_crossover.ipynb)** # MACD Crossover diff --git a/docs/member/strategies/mean_reversion_bollinger_bands.md b/docs/member/strategies/mean_reversion_bollinger_bands.md index e4b7fcae..f39192da 100644 --- a/docs/member/strategies/mean_reversion_bollinger_bands.md +++ b/docs/member/strategies/mean_reversion_bollinger_bands.md @@ -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. diff --git a/docs/member/strategies/rsi_macd_crossover.md b/docs/member/strategies/rsi_macd_crossover.md index 0424dd16..a3a35f15 100644 --- a/docs/member/strategies/rsi_macd_crossover.md +++ b/docs/member/strategies/rsi_macd_crossover.md @@ -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. diff --git a/docs/member/strategies/volatility_trend_atr.md b/docs/member/strategies/volatility_trend_atr.md index 22f21416..ff1df53e 100644 --- a/docs/member/strategies/volatility_trend_atr.md +++ b/docs/member/strategies/volatility_trend_atr.md @@ -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. From 3d10a7e858b4a5b31b79afbefd72aac47dff0635 Mon Sep 17 00:00:00 2001 From: pratik-urkude-algobulls Date: Sat, 10 Aug 2024 18:49:47 +0530 Subject: [PATCH 2/2] clean up --- docs/member/strategies/macd_crossover.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/member/strategies/macd_crossover.md b/docs/member/strategies/macd_crossover.md index 92e5f5cd..a294ae5f 100644 --- a/docs/member/strategies/macd_crossover.md +++ b/docs/member/strategies/macd_crossover.md @@ -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/d1825d24e2244c9e49368a3e0be70ba870e71c5c?urlpath=lab%2Ftree%2Fjupyter%2Fnse_equity%2Faroon_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