Tag: api-technical

Bollinger Bands have quickly become one of the most commonly used tools in technical analysis. Bollinger Bands consist of three bands – an upper, middle and lower band – that are used to spotlight extreme short-term prices in a security. The upper band represents overbought territory, while the lower band can show you when a security is oversold. Most technicians will use Bollinger Bands in conjunction with other analysis tools.

A simple BBand strategy is buying stocks that break the lower Bollinger Band. It is expected that the price of the stock will revert back above the lower band and head toward the middle band.

You can build you own Bollinger Band based strategy that scans all the Nifty 50 stocks for a potential break using the StockViz Technical API in a few lines of code.

# get the index constituents and loop through them
constituents = common.getConstituents("CNX NIFTY") 

for cc in cleanConsts:
     ticker = cc["SYMBOL"]
     # get the latest technicals
     techs = common.getTechnicals(ticker) 
     t = techs[len(techs)-1]
     # get the latest price
     price = common.getLivePrice(ticker)

     #make the decision
     if t["BB_DN"] > price:
		#there was a breakdown

		print "Buy:", ticker
		common.placeTrade(ticker, 1, "buy")

You can read the whole code on GitHub

Source: investopedia

Related

• Build your own News Reading and Sentiment Analysis App
• Building a Cross-Over Trading System
• A Stochastic-MACD Model for Trading Nifty Stocks
• Calculate PEs for all Indices

Glenda Dowie has an interesting post up on investopedia:

Looking for two popular indicators that work well together resulted in this pairing of the stochastic oscillator and the moving average convergence divergence (MACD). This team works because the stochastic is comparing a stock’s closing price to its price range over a certain period of time, while the MACD is the formation of two moving averages diverging from and converging with each other. This dynamic combination is highly effective if used to its fullest potential.

To derive a buy signal out of these two indicators, first make sure that the MACD is trading over its signal line and then make sure that the %K crossed the %D in the last couple of days.

The problem with any multi-signal approach is that it requires you to track multiple stocks:

Because the stock generally takes a longer time to line up in the best buying position, the actual trading of the stock occurs less frequently, so you may need a larger basket of stocks to watch.

This is where you can use the StockViz API to make life simpler.

The StockViz Technical API for Equities (doc) gives you more that 50 technical stats to play with. The stochastic fields are “STOCH_FAST_D” and “STOCH_FAST_K” and the MACD fields are “MACD” and “MACD_SIGNAL.”

Here’s how it works.

Pseudocode

In order to scan all the Nifty 50 stocks:

1. grab all the constituents of the index through the SymbolsOfIndex endpoint
2. iterate through them and get the technicals
3. check if the MACD is over the signal line. If it is, then check if the stochastic cross-over occurred over the last couple of days
4. If both the conditions are met, then place the trade

Code

You can find the code on GitHub. We have extracted some shared code out into a “common” module. The main file reads much cleaner this way.

The code should be run at the beginning of the day and you can track the progress of this system through your StockViz account.

Stocks picked up today

Note: You have to link your Mashape and StockViz accounts for the Accounts API to work (doc.)

Previously

• Build your own News Reading and Sentiment Analysis App
• Building a Cross-Over Trading System

Investors often use moving averages to time their entry and exit into the markets. One of the most often used signals are the “Golden Cross” (for entry) and the “Death Cross” (for exit.)

The Golden Cross represents a major shift from the bears to the bulls. It triggers when the 50-day average breaks above the 200-day average. Conversely, the Death Cross restores bear power when the 50-day falls back beneath the 200-day.

The problem with most technical signals is that it requires you to inspect a chart of the stock you are interested in. However, with the StockViz API, you can automate just about every step of the process from checking for the cross-over to placing the trade.

Technical API

The StockViz Technical API for Equities (doc) gives you more that 50 technical stats to play with. Here’s how you access it in python:

unirest.get("https://stockviz.p.mashape.com/technicaldata/technicalsEquity",
     params={
          "symbol": ticker
     },
     headers={
          "X-Mashape-Authorization": mashape_auth,
          "Accept": "application/json"
     }
);

The result is a time-series in ascending order of dates. By comparing the last two elements, you can check if a cross-over occurred or not.

Accounts API

The StockViz Account API (doc) allows you to directly place trades through StockViz. These are “dummy” trades that update your portfolio. This allows you to track the performance of your investment strategy over a period of time.

Placing a trade is just another call to the API:

unirest.get("https://stockviz.p.mashape.com/account/OrderEquity", 
	params={
		"symbol": symbol,
		"qty": qty,
		"bs": buyOrSell,
		"t": "regular",
		"px": price,
		"asof": strTime
	},
	headers={
		"X-Mashape-Authorization": mashape_auth,
		"Accept": "application/json"
	}
);

Now all you have to do is run the script at the beginning of the day and you have your basic automated cross-over trading system. You can read the whole code here. The script runs the cross-over system for the NIFTYBEES ETF [stockquote]NIFTYBEES[/stockquote]

Note: You have to link your Mashape and StockViz accounts for the Accounts API to work (doc.)

Previously

• The StockViz API
• API Samples on GitHub
• Build your own News Reading and Sentiment Analysis App
• The Golden Cross and the Death Cross