Share New Research 
Hi All,
I am totally new here, I dont know where to start and end. I have to do the following assignment by tomorrow. Can anyone guide me or help with it. You can reach me at : swaroopkpydisetty@gmail.com if you have any further questions.
I want to implement a 1/N algorithm where you distribute the funds available ( say $1,000,000) in buying the stocks (some 100 different varieties, so every stock should have $10,000 worth: for example Facebook stock price is $40 and google’s $50, we should have 250 of FB and 200 of google) equally from available that are being traded. I need to rebalance the portfolio by maintaining the stock worth to 1/N of the total funds after every month/ year. Whenever the share price increases decreases, we need to rebalance the total stocks without violating the 1/N ratio of that particular stock. We also need to implement the same once at the month of every month and at the end of every year too.
Thank you very much.
Alexandre Catarino
Implement 1/N rebalancing algorithm is incredibly easy with QuantConnect, because the hardest part (computing the shares we need to buy/sell to achieve the balance) is automatically done by the SetHoldings helper (please checkout the docs, under the Trading and Orders section, for more information):
// Set fixed percentages of known tickers: SetHoldings("IBM", 0.25); SetHoldings("GOOG", 0.25); SetHoldings("AAPL", 0.25); SetHoldings("MSFT", 0.25); // Or set portfolio to equal weighting of all securities: var weighting = 1m / Securities.Count; foreach(var security in Securities.Values) { SetHoldings(security.Symbol, weighting); }We just need to verify whether we are entering on a new month to perform the rebalancing.
Swaroop Pydisetty
Thank you Alexandre, this works wonderfully and this is what I am looking for. I have one question. How do I get the list of all the available stocks in the platform and use them in my algo?
Swaroop Pydisetty
I have tried to copy paste all the symbols, is there a better way to do this?
import clr from datetime import datetime clr.AddReference("System") clr.AddReference("QuantConnect.Algorithm") clr.AddReference("QuantConnect.Indicators") clr.AddReference("QuantConnect.Common") from System import * from QuantConnect import * from QuantConnect.Algorithm import * from QuantConnect.Indicators import * class Naive1Nalgorithm(QCAlgorithm): '''Basic template algorithm simply initializes the date range and cash''' def __init__(self): self.stocks = ['ABT', 'ABBV', 'ACN', 'ACE', 'ADBE', 'ADT', 'AAP', 'AES', 'AET', 'AFL', 'AMG', 'A', 'GAS', 'APD', 'ARG', 'AKAM', 'AA', 'AGN', 'ALXN', 'ALLE', 'ADS', 'ALL', 'ALTR', 'MO', 'AMZN', 'AEE', 'AAL', 'AEP', 'AXP', 'AIG', 'AMT', 'AMP', 'ABC', 'AME', 'AMGN', 'APH', 'APC', 'ADI', 'AON', 'APA', 'AIV', 'AMAT', 'ADM', 'AIZ', 'T', 'ADSK', 'ADP', 'AN', 'AZO', 'AVGO', 'AVB', 'AVY', 'BHI', 'BLL', 'BAC', 'BK', 'BCR', 'BXLT', 'BAX', 'BBT', 'BDX', 'BBBY', 'BRK-B', 'BBY', 'BLX', 'HRB', 'BA', 'BWA', 'BXP', 'BSK', 'BMY', 'BRCM', 'BF-B', 'CHRW', 'CA', 'CVC', 'COG', 'CAM', 'CPB', 'COF', 'CAH', 'HSIC', 'KMX', 'CCL', 'CAT', 'CBG', 'CBS', 'CELG', 'CNP', 'CTL', 'CERN', 'CF', 'SCHW', 'CHK', 'CVX', 'CMG', 'CB', 'CI', 'XEC', 'CINF', 'CTAS', 'CSCO', 'C', 'CTXS', 'CLX', 'CME', 'CMS', 'COH', 'KO', 'CCE', 'CTSH', 'CL', 'CMCSA', 'CMA', 'CSC', 'CAG', 'COP', 'CNX', 'ED', 'STZ', 'GLW', 'COST', 'CCI', 'CSX', 'CMI', 'CVS', 'DHI', 'DHR', 'DRI', 'DVA', 'DE', 'DLPH', 'DAL', 'XRAY', 'DVN', 'DO', 'DTV', 'DFS', 'DISCA', 'DISCK', 'DG', 'DLTR', 'D', 'DOV', 'DOW', 'DPS', 'DTE', 'DD', 'DUK', 'DNB', 'ETFC', 'EMN', 'ETN', 'EBAY', 'ECL', 'EIX', 'EW', 'EA', 'EMC', 'EMR', 'ENDP', 'ESV', 'ETR', 'EOG', 'EQT', 'EFX', 'EQIX', 'EQR', 'ESS', 'EL', 'ES', 'EXC', 'EXPE', 'EXPD', 'ESRX', 'XOM', 'FFIV', 'FB', 'FAST', 'FDX', 'FIS', 'FITB', 'FSLR', 'FE', 'FSIV', 'FLIR', 'FLS', 'FLR', 'FMC', 'FTI', 'F', 'FOSL', 'BEN', 'FCX', 'FTR', 'GME', 'GPS', 'GRMN', 'GD', 'GE', 'GGP', 'GIS', 'GM', 'GPC', 'GNW', 'GILD', 'GS', 'GT', 'GOOGL', 'GOOG', 'GWW', 'HAL', 'HBI', 'HOG', 'HAR', 'HRS', 'HIG', 'HAS', 'HCA', 'HCP', 'HCN', 'HP', 'HES', 'HPQ', 'HD', 'HON', 'HRL', 'HSP', 'HST', 'HCBK', 'HUM', 'HBAN', 'ITW', 'IR', 'INTC', 'ICE', 'IBM', 'IP', 'IPG', 'IFF', 'INTU', 'ISRG', 'IVZ', 'IRM', 'JEC', 'JBHT', 'JNJ', 'JCI', 'JOY', 'JPM', 'JNPR', 'KSU', 'K', 'KEY', 'GMCR', 'KMB', 'KIM', 'KMI', 'KLAC', 'KSS', 'KRFT', 'KR', 'LB', 'LLL', 'LH', 'LRCX', 'LM', 'LEG', 'LEN', 'LVLT', 'LUK', 'LLY', 'LNC', 'LLTC', 'LMT', 'L', 'LOW', 'LYB', 'MTB', 'MAC', 'M', 'MNK', 'MRO', 'MPC', 'MAR', 'MMC', 'MLM', 'MAS', 'MA', 'MAT', 'MKC', 'MCD', 'MHFI', 'MCK', 'MJN', 'MMV', 'MDT', 'MRK', 'MET', 'KORS', 'MCHP', 'MU', 'MSFT', 'MHK', 'TAP', 'MDLZ', 'MON', 'MNST', 'MCO', 'MS', 'MOS', 'MSI', 'MUR', 'MYL', 'NDAQ', 'NOV', 'NAVI', 'NTAP', 'NFLX', 'NWL', 'NFX', 'NEM', 'NWSA', 'NEE', 'NLSN', 'NKE', 'NI', 'NE', 'NBL', 'JWN', 'NSC', 'NTRS', 'NOC', 'NRG', 'NUE', 'NVDA', 'ORLY', 'OXY', 'OMC', 'OKE', 'ORCL', 'OI', 'PCAR', 'PLL', 'PH', 'PDCO', 'PAYX', 'PNR', 'PBCT', 'POM', 'PEP', 'PKI', 'PRGO', 'PFE', 'PCG', 'PM', 'PSX', 'PNW', 'PXD', 'PBI', 'PCL', 'PNC', 'RL', 'PPG', 'PPL', 'PX', 'PCP', 'PCLN', 'PFG', 'PG', 'PGR', 'PLD', 'PRU', 'PEG', 'PSA', 'PHM', 'PVH', 'QRVO', 'PWR', 'QCOM', 'DGX', 'RRC', 'RTN', 'O', 'RHT', 'REGN', 'RF', 'RSG', 'RAI', 'RHI', 'ROK', 'COL', 'ROP', 'ROST', 'RLC', 'R', 'CRM', 'SNDK', 'SCG', 'SLB', 'SNI', 'STX', 'SEE', 'SRE', 'SHW', 'SIAL', 'SPG', 'SWKS', 'SLG', 'SJM', 'SNA', 'SO', 'LUV', 'SWN', 'SE', 'STJ', 'SWK', 'SPLS', 'SBUX', 'HOT', 'STT', 'SRCL', 'SYK', 'STI', 'SYMC', 'SYY', 'TROW', 'TGT', 'TEL', 'TE', 'TGNA', 'THC', 'TDC', 'TSO', 'TXN', 'TXT', 'HSY', 'TRV', 'TMO', 'TIF', 'TWX', 'TWC', 'TJK', 'TMK', 'TSS', 'TSCO', 'RIG', 'TRIP', 'FOXA', 'TSN', 'TYC', 'UA', 'UNP', 'UNH', 'UPS', 'URI', 'UTX', 'UHS', 'UNM', 'URBN', 'VFC', 'VLO', 'VAR', 'VTR', 'VRSN', 'VZ', 'VRTX', 'VIAB', 'V', 'VNO', 'VMC', 'WMT', 'WBA', 'DIS', 'WM', 'WAT', 'ANTM', 'WFC', 'WDC', 'WU', 'WY', 'WHR', 'WFM', 'WMB', 'WEC', 'WYN', 'WYNN', 'XEL', 'XRX', 'XLNX', 'XL', 'XYL', 'YHOO', 'YUM', 'ZBH', 'ZION', 'ZTS'] self.lastMonth = -1 def Initialize(self): '''Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.''' self.SetStartDate(2015,10,07) #Set Start Date self.SetEndDate(2016,10,20) #Set End Date self.SetCash(1000000) #Set Strategy Cash for stock in self.stocks: self.AddSecurity(SecurityType.Equity, stock, Resolution.Hour); def OnData(self, data): '''OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here. Arguments: data: Slice object keyed by symbol containing the stock data ''' pyTime = datetime(self.Time) if self.lastMonth == pyTime.month: return percentage = 1./len(data.Bars) for tradeBar in data.Bars.Values: self.SetHoldings(tradeBar.Symbol, percentage) self.lastMonth = pyTime.monthJared Broad
@Swaroop - check out the Universes section of the documentation and this example. Generally you should never list symbols but instead select a universe of stocks based on some criteria.
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Swaroop Pydisetty
The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by QuantConnect. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. QuantConnect makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances. All investments involve risk, including loss of principal. You should consult with an investment professional before making any investment decisions.
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