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Quantitative trading kit, for hackers

Home Page: intuition.io

License: Apache License 2.0

Shell 1.68% R 2.70% Python 92.67% Dockerfile 1.25% Makefile 1.14% SaltStack 0.56%

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intuition's Issues

R ZMQ Messaging fails

While a R client and a R server are able to communicate, node.js broker can't read messages sent from R client (./server/shiny-backtest/RClientInterface.R)

11 Mar 04:31:52 - router13901: received from +�n��A0�t��1��N -

undefined:0

^
SyntaxError: Unexpected end of input
at Object.parse (native)
at Socket. (/home/xavier/dev/projects/ppQuanTrade/server/server_fwd.js:63:26)
at Socket.EventEmitter.emit (events.js:106:17)
at Socket._flush._flushing (/usr/lib/node_modules/zmq/lib/index.js:288:25)
at process.startup.processNextTick.process._tickCallback (node.js:245:9)

Plus, socket.options(), documented on https://github.com/armstrtw/rzmq/tree/master/man is not available (impossible to set socket identity, needed for routage).
According to the author zmq devices are not implemented yet, may be a clue for the reading error.

Crash when missing locale settings

if LANG isn't set (like in a default docker container) :

intuition/utils.py", line 55, in _detect_timezone TypeError: 'NoneType' object has no attribute '__getitem__'

Live FX algo testing

For Live fx trading or backtesting with minutes data , zipline fails as the comparison is between different time frames.

(When i remove benchmark comparison assert )
With live data , algorithm is called for first tick and then system exits ? Is there any way to continuously call specified algorithm ?

Sample logs after for forex live backtest

root@avinash-vaio:/avinash/python-projects/ppQuanTrade/scripts# ./run_backtest.sh

C'est parti...
[2013-03-22 02:13] Database - INFO: Reading NeuronQuant MySQL configuration... (192.168.249.202)
[2013-03-22 02:13] Database - INFO: Reading NeuronQuant MySQL configuration... (192.168.249.202)
[2013-03-22 02:13] ZMQ Messaging - INFO: Signal manager for handling code 2 (192.168.249.202)
[2013-03-22 02:13] Engine - INFO: Configuration is Done. (192.168.249.202)
[2013-03-22 02:13] Engine - INFO:
-- Running backetester...
Using algorithm: BuyAndHold
(192.168.249.202)
[2013-03-22 02:13] Engine - INFO:
-- Using portfolio manager: Constant
(192.168.249.202)
[2013-03-22 02:13] Engine - INFO: [Debug] Algorithm BuyAndHold available, getting a reference to it. (192.168.249.202)
[2013-03-22 02:13] Engine - INFO: [Debug] Manager Constant available, getting a reference and initializing it. (192.168.249.202)
[2013-03-22 02:13] Database - INFO: Reading NeuronQuant MySQL configuration... (192.168.249.202)
[2013-03-22 02:13] Database - INFO: Reading NeuronQuant MySQL configuration... (192.168.249.202)
Benchmark on 2013-03-21 00:00:00+00:00: -0.00828249000776
[2013-03-22 02:13] Forex - DEBUG: [Fri, 22 Mar 2013 02:13:23 GMT] Authentification successful OK:200 (192.168.249.202)
[2013-03-22 02:13] DataLiveSource - DEBUG: Waiting for Forex update (192.168.249.202)
[2013-03-22 02:13] DataLiveSource - DEBUG: New income data, fire an event ! (192.168.249.202)
[2013-03-22 02:13] DataLiveSource - DEBUG: Data available:
Ask.Price 1.29127
Bid.Price 1.29122
High 1.28899
Low 1.29144
TimeStamp 1363918395849
Name: EUR/USD (192.168.249.202)
[2013-03-22 02:13] DataLiveSource - DEBUG: Data available:
Ask.Price 122.591
Bid.Price 122.576
High 122.373
Low 122.704
TimeStamp 1363918404545
Name: EUR/JPY (192.168.249.202)

[2013-03-22 02:13] Performance - INFO: Simulated 1 trading days out of 1. (192.168.249.202)
[2013-03-22 02:13] Performance - INFO: first open: 2013-03-21 13:30:00+00:00 (192.168.249.202)
[2013-03-22 02:13] Performance - INFO: last close: 2013-03-21 20:00:00+00:00 (192.168.249.202)
[2013-03-22 02:13] Trade Labo - INFO: Portfolio returns: 100000.0 (192.168.249.202)

real 0m12.835s
user 0m10.537s
sys 0m0.532s
root@avinash-vaio:/avinash/python-projects/ppQuanTrade/scripts#

I am eagerly waiting to try out various algorthms on live data. It would be nice if you fix live algo run on fx data .

install problems

I have problems with install on both Ubuntu 12.04 and Windows.
Could you give some additional info about install process.

On Ubuntu: python part is OK (I use new virtualenv to install ppQuanTrade).
R part that attempts to modify general installation fails ( I have R-3.0 installed long time ago and use R all the time). Besides all R repositories point to France. Could you specify what should be modified to use other places?
Is it possible at all to install ppQuanTrade on Windows?
Package looks very interesting (especially python-R integration, but documentation looks non-existing.
Here is log of install.
Thu Aug 1 08:59:32 MDT 2013 -- QuanTrade installation script
Environment setup
Copying configuration file templates...
Note: do not forget to custom them at the end of the script
Writting in ~/.bashrc for permanent automatic environment load
Sourcing environment setup file.
Restoring user permission
Installation of debian packages...
Reading package lists... Done
Building dependency tree
Reading state information... Done
git is already the newest version.
libzmq-dev is already the newest version.
python-pip is already the newest version.
curl is already the newest version.
libmysqlclient-dev is already the newest version.
mysql-server is already the newest version.
python-dev is already the newest version.
python2.7 is already the newest version.
ruby1.9.3 is already the newest version.
Some packages could not be installed. This may mean that you have
requested an impossible situation or if you are using the unstable
distribution that some required packages have not yet been created
or been moved out of Incoming.
The following information may help to resolve the situation:

The following packages have unmet dependencies:
r-base : Depends: r-base-core (>= 3.0.1-6raring0) but 3.0.1-6precise0 is to be installed
Depends: r-recommended (= 3.0.1-6raring0) but 3.0.1-3precise is to be installed
E: Unable to correct problems, you have held broken packages.

Dashboard code

Hi,

Is it possible for you to checkin dashboard code or make shiny webapp more stable. About six months back writing strategies based on minutes data was not supported , is it supported now ?

intuition-plugins 404

Was going to clone all the repositories this morning to try intuition for myself, but the intuition-plugins repository is gone. Was really eager to try out the API.

Databases

Consider teafiles + lmdb for time series persistence and transactions.

I think a flat file storage system could be a great asset to the project. I have only looked at the teafile spec and have started to use lmdb and Bolt (a golang implementation).

HDF5 seems to be highly regarded in trade apps as well.

I see influxdb in the dev requirements for insight. My problem with influx db for the moment (this could very well change) is that the series have to be sorted after every query it seems.. In a flat file data system we could keep the keys pre sorted by timestamp and write the custom logic to add layers of additional analysis if and when it needs to be persisted with very little overhead to lmdb.

Proof of concept in the works.

New "Information" and "Sortion ratio" from Performances truncated when saved in mysql

/usr/local/lib/python2.7/dist-packages/sqlalchemy/engine/default.py:320: Warning: Data truncated for column 'SortinoRatio' at row 1
cursor.execute(statement, parameters)
/usr/local/lib/python2.7/dist-packages/sqlalchemy/engine/default.py:320: Warning: Data truncated for column 'Information' at row 1
cursor.execute(statement, parameters)

Takes both value 2005

Irrelevant results when no transactions were processed

Without orders during simulation, sharpe ration is infinite (pretty cool !) and other perfs don't make sense.
Therefore propagate the error through myqsl save and client (shiny access)

may be some issues in portfolio calculations

For ppQuantrade testing purpose i added one test algorithm. When i calculate profit my self i get very good result but when i use self.portfolio object i get very different output. Do you see any issues the way i am using portfolio

This is algorithm


class Test(TradingAlgorithm):
'''
https://www.quantopian.com/posts/this-is-amazing
!! Many transactions, so makes the algorithm explode when traded with many positions
'''
def initialize(self, properties):
self.debug = properties.get('debug', 0)
window_length = properties.get('window_length', 3)
self.purchase_price = 0
self.orderCounter = 0
self.amount = 10000
self.add_transform(SMA, 'mavg', ['price'], window_length=window_length)
self.totalProfit = 0
self.max_notional = 100000.1
self.min_notional = -100000.0
def handle_data(self, data):
    ''' ----------------------------------------------------------    Init   --'''
    user_instruction = self.manager.update(self.portfolio, self.datetime.to_pydatetime())

    ''' ----------------------------------------------------------    Scan   --'''
    for ticker in data:
        sma          = data[ticker].mavg
        price        = data[ticker].price
        cash         = self.portfolio.cash
        notional     = self.portfolio.positions[ticker].amount * price
        capital_used = self.portfolio.capital_used

        if sma * 0.95 > price :
            self.logger.info('Cash : {} Notional : {} Capital used {} ' , cash , notional , capital_used)
            self.order(ticker, self.amount)
            self.logger.info('Cash : {} Notional : {} Capital used {} ' , cash , notional , capital_used)
            self.purchase_price += price
            self.orderCounter += 1
            if self.debug:
                self.logger.info('{}: Ordering {} {} stocks @ {} '.format(self.datetime, ticker, self.amount , self.purchase_price / self.orderCounter))
        elif self.orderCounter > 0 and  self.purchase_price / self.orderCounter < 1.1 * price:
            self.logger.info('-Cash : {} Notional : {} Capital used {} ' , cash , notional , capital_used)
            self.order(ticker, -self.orderCounter * self.amount)
            self.logger.info('-Cash : {} Notional : {} Capital used {} ' , cash , notional , capital_used)
            self.totalProfit += (price - self.purchase_price / self.orderCounter) * self.amount * self.orderCounter
            if self.debug:
                self.logger.info('{}: Selling {} {} stocks @ {} Profit : {}'.format(self.datetime, ticker, -self.orderCounter * self.amount, price , self.totalProfit))
            self.purchase_price = 0
            self.orderCounter = 0

This is output
[2013-04-14 06:40] Trade Labo - INFO: Portfolio returns: 93729.21875

manually calculated returns : 192000

This is log of executed algorithm
INFO [2013-04-13 23:40:37] python /avinash/python-projects/ppQuanTrade/application/app.py --tickers XIV --algorithm Test --manager Constant --start 2012-07-01 --end 2013-03-31 --exchange nasdaq --database test
[2013-04-14 06:40] INFO: Configuration: Found local configuration file, loading ~/.quantrade/default.json
[2013-04-14 06:40] INFO: Database: Reading QuanTrade MySQL configuration...
[2013-04-14 06:40] INFO: Database: Opening database stock_data
[2013-04-14 06:40] DEBUG: Configuration: Reading commandline arguments
[2013-04-14 06:40] DEBUG: Configuration: Mapping arguments to backtest parameters dictionnary
[2013-04-14 06:40] Configuration - INFO: Reading strategie configuration from json files (192.168.1.6)
[2013-04-14 06:40] Configuration - INFO: Configuration is Done. (192.168.1.6)
[2013-04-14 06:40] Database - INFO: Reading QuanTrade MySQL configuration... (192.168.1.6)
[2013-04-14 06:40] Database - INFO: Opening database stock_data (192.168.1.6)
[2013-04-14 06:40] DataFeed - DEBUG: No matching name, trying symbol list... (192.168.1.6)
[2013-04-14 06:40] Database - INFO: Got infos: <Equity('xiv','VelocityShares Da','PCX', '','','')> (192.168.1.6)
[2013-04-14 06:40] DataFeed - INFO: Retrieving XIV quotes from database (192.168.1.6)
/usr/local/lib/python2.7/dist-packages/sqlalchemy/engine/default.py:320: Warning: Incorrect datetime value: '2012-07-01 05:00:00+00:00' for column 'Date' at row 1
cursor.execute(statement, parameters)
/usr/local/lib/python2.7/dist-packages/sqlalchemy/engine/default.py:320: Warning: Incorrect datetime value: '2013-03-31 05:00:00+00:00' for column 'Date' at row 1
cursor.execute(statement, parameters)
[2013-04-14 06:40] Engine - INFO:
-- Running backetester...
Using algorithm: Test
(192.168.1.6)
[2013-04-14 06:40] Engine - INFO:
-- Using portfolio manager: Constant
(192.168.1.6)
[2013-04-14 06:40] Engine - INFO: Algorithm Test available, getting a reference to it. (192.168.1.6)
[2013-04-14 06:40] Engine - INFO: Manager Constant available, getting a reference and initializing it. (192.168.1.6)
[2013-04-14 06:40] Database - INFO: Reading QuanTrade MySQL configuration... (192.168.1.6)
[2013-04-14 06:40] Database - INFO: Opening database stock_data (192.168.1.6)
[2013-04-14 06:40] Engine - INFO: Re-loading last Xavier Bruhiere portfolio from database (192.168.1.6)
[2013-04-14 06:40] Manager - INFO: Loading portfolio from database (192.168.1.6)
[2013-04-14 06:40] Engine - INFO: Portfolio setup successful (192.168.1.6)
[2013-04-14 06:40] Transform - INFO: Running StatefulTransform mavg
[2013-04-14 06:40] Test - INFO: Cash : 100000.0 Notional : 0.0 Capital used 0.0 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: Cash : 100000.0 Notional : 0.0 Capital used 0.0 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: 2012-07-23 00:00:00+00:00: Ordering XIV 10000 stocks @ 11.8 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: Cash : 97149.84375 Notional : 2825.0 Capital used -2850.15625 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: Cash : 97149.84375 Notional : 2825.0 Capital used -2850.15625 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: 2012-07-24 00:00:00+00:00: Ordering XIV 10000 stocks @ 11.55 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: Cash : 94274.53125 Notional : 5700.0 Capital used -5725.46875 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: Cash : 94274.53125 Notional : 5700.0 Capital used -5725.46875 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: 2012-07-25 00:00:00+00:00: Ordering XIV 10000 stocks @ 11.5 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: -Cash : 91172.8125 Notional : 9225.0 Capital used -8827.1875 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: -Cash : 91172.8125 Notional : 9225.0 Capital used -8827.1875 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: 2012-07-26 00:00:00+00:00: Selling XIV -30000 stocks @ 12.3 Profit : 24000.0 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: Cash : 94295.625 Notional : 8000.0 Capital used -5704.375 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: Cash : 94295.625 Notional : 8000.0 Capital used -5704.375 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: 2012-09-26 00:00:00+00:00: Ordering XIV 10000 stocks @ 16.0 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: -Cash : 89885.78125 Notional : 13125.0 Capital used -10114.21875 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: -Cash : 89885.78125 Notional : 13125.0 Capital used -10114.21875 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: 2012-09-27 00:00:00+00:00: Selling XIV -10000 stocks @ 17.5 Profit : 39000.0 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: Cash : 94101.71875 Notional : 8000.0 Capital used -5898.28125 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: Cash : 94101.71875 Notional : 8000.0 Capital used -5898.28125 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: 2012-10-23 00:00:00+00:00: Ordering XIV 10000 stocks @ 16.0 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: Cash : 90094.375 Notional : 11925.0 Capital used -9905.625 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: Cash : 90094.375 Notional : 11925.0 Capital used -9905.625 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: 2012-10-24 00:00:00+00:00: Ordering XIV 10000 stocks @ 15.95 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: -Cash : 85986.40625 Notional : 16300.0 Capital used -14013.59375 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: -Cash : 85986.40625 Notional : 16300.0 Capital used -14013.59375 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: 2012-10-25 00:00:00+00:00: Selling XIV -20000 stocks @ 16.3 Profit : 46000.0 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: Cash : 90053.28125 Notional : 11850.0 Capital used -9946.71875 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: Cash : 90053.28125 Notional : 11850.0 Capital used -9946.71875 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: 2012-11-07 00:00:00+00:00: Ordering XIV 10000 stocks @ 15.8 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: -Cash : 86121.40625 Notional : 15600.0 Capital used -13878.59375 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: -Cash : 86121.40625 Notional : 15600.0 Capital used -13878.59375 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: 2012-11-08 00:00:00+00:00: Selling XIV -10000 stocks @ 15.6 Profit : 44000.0 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: Cash : 89989.53125 Notional : 12900.0 Capital used -10010.46875 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: Cash : 89989.53125 Notional : 12900.0 Capital used -10010.46875 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: 2012-12-21 00:00:00+00:00: Ordering XIV 10000 stocks @ 17.2 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: -Cash : 85579.6875 Notional : 17500.0 Capital used -14420.3125 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: -Cash : 85579.6875 Notional : 17500.0 Capital used -14420.3125 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: 2012-12-24 00:00:00+00:00: Selling XIV -10000 stocks @ 17.5 Profit : 47000.0 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: Cash : 89671.40625 Notional : 12375.0 Capital used -10328.59375 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: Cash : 89671.40625 Notional : 12375.0 Capital used -10328.59375 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: 2012-12-26 00:00:00+00:00: Ordering XIV 10000 stocks @ 16.5 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: -Cash : 85513.125 Notional : 16500.0 Capital used -14486.875 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: -Cash : 85513.125 Notional : 16500.0 Capital used -14486.875 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: 2012-12-27 00:00:00+00:00: Selling XIV -10000 stocks @ 16.5 Profit : 47000.0 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: Cash : 89406.09375 Notional : 11775.0 Capital used -10593.90625 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: Cash : 89406.09375 Notional : 11775.0 Capital used -10593.90625 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: 2012-12-28 00:00:00+00:00: Ordering XIV 10000 stocks @ 15.7 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: -Cash : 85247.8125 Notional : 16500.0 Capital used -14752.1875 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: -Cash : 85247.8125 Notional : 16500.0 Capital used -14752.1875 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: 2012-12-31 00:00:00+00:00: Selling XIV -10000 stocks @ 16.5 Profit : 55000.0 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: Cash : 181275.46875 Notional : -80625.0 Capital used 81275.46875 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: Cash : 181275.46875 Notional : -80625.0 Capital used 81275.46875 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: 2013-02-21 00:00:00+00:00: Ordering XIV 10000 stocks @ 21.5 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: -Cash : 175658.125 Notional : -78050.0 Capital used 75658.125 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: -Cash : 175658.125 Notional : -78050.0 Capital used 75658.125 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: 2013-02-22 00:00:00+00:00: Selling XIV -10000 stocks @ 22.3 Profit : 63000.0 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: Cash : 180395.78125 Notional : -71625.0 Capital used 80395.78125 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: Cash : 180395.78125 Notional : -71625.0 Capital used 80395.78125 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: 2013-02-25 00:00:00+00:00: Ordering XIV 10000 stocks @ 19.1 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: Cash : 175507.96875 Notional : -67900.0 Capital used 75507.96875 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: Cash : 175507.96875 Notional : -67900.0 Capital used 75507.96875 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: 2013-02-26 00:00:00+00:00: Ordering XIV 10000 stocks @ 19.25 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: -Cash : 170293.125 Notional : -67275.0 Capital used 70293.125 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: -Cash : 170293.125 Notional : -67275.0 Capital used 70293.125 (192.168.1.6)
[2013-04-14 06:40] Test - INFO: 2013-02-27 00:00:00+00:00: Selling XIV -20000 stocks @ 20.7 Profit : 92000.0 (192.168.1.6)
[2013-04-14 06:40] Transform - INFO: Finished StatefulTransform mavg
[2013-04-14 06:40] Performance - INFO: Simulated 185 trading days out of 185. (192.168.1.6)
[2013-04-14 06:40] Performance - INFO: first open: 2012-07-02 13:30:00+00:00 (192.168.1.6)
[2013-04-14 06:40] Performance - INFO: last close: 2013-03-28 20:00:00+00:00 (192.168.1.6)
[2013-04-14 06:40] Trade Labo - INFO: Portfolio returns: 93729.21875 (192.168.1.6)
/usr/local/lib/python2.7/dist-packages/sqlalchemy/engine/default.py:320: Warning: Data truncated for column 'SortinoRatio' at row 1
cursor.execute(statement, parameters)
/usr/local/lib/python2.7/dist-packages/sqlalchemy/engine/default.py:320: Warning: Data truncated for column 'Information' at row 1
cursor.execute(statement, parameters)
[2013-04-14 06:40] Trade Labo - INFO:

Returns: -6.27078125% / 15.0766152569%
Volatility: 0.0487673359095
Sharpe: -2.67210000663
Max drawdown: 0.126171024824

(192.168.1.6)

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intuition's Issues

document are unavailable?

R ZMQ Messaging fails

Crash when missing locale settings

Live FX algo testing

install problems

Dashboard code

intuition-plugins 404

Databases

New "Information" and "Sortion ratio" from Performances truncated when saved in mysql

Irrelevant results when no transactions were processed

may be some issues in portfolio calculations

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