University Lesson 1 : Simple Strategy with Parameters, Log, Plot & Simple Trade

Estimated reading time: 2 min
In this lesson, we will have a closer look at Simple Strategies, they allow focusing on the logic without having to worry much about the trading logic. Trading is going to be executed using the Machina Settings and the strategy only need to return a signal on each new candle: either BUY, SELL or HOLD.

The Code

Let’s have a close look at this first example (Can be downloaded at the end of the article):

import sys, talib, requests, json, numpy, base64, json, enum, datetime, array, math

import mtCommon

#Basic SMAs Xing (Simple Strategy)

STRAT_NAME = ‘Basic SMAs Xing (Simple Strategy)’

STRAT_TYPE = mtCommon.SimpleStrategy





def onSendParams():

# Build up parameters to send to MT

_mt.addNumericParameter(SMA_FAST, 12, True)# This parameter will override the NUM_CANDLES value if it is higher

_mt.addNumericParameter(SMA_SLOW, 18, True)# This parameter will override the NUM_CANDLES value if it is higher

# ——————————————————————-

# Per market methods – Execution triggered per market (as per machina configuration)

# ——————————————————————-

def onInit():

_mt.logInfoP(‘onInit called [‘ + STRAT_NAME + ‘, v’ + VERSION + ‘]’)

def onTick(currentDate, candles, config):

# _mt.logInfo(‘onTick called | Market: ‘ + config.MARKET + ‘, currentDate: ‘ + str(currentDate) + ‘, ‘ + str(len(candles.C)) + ‘ candles available’, “blue”)

# Import Parameters

fastPeriod = int(_mt.getParameter(SMA_FAST))

slowPeriod = int(_mt.getParameter(SMA_SLOW))

# Calc Moving Averages

# maType = 0 = SMA

# candles.C = Close Values

fastValues = talib.func.MA(candles.C, timeperiod=fastPeriod, matype=0)

slowValues = talib.func.MA(candles.C, timeperiod=slowPeriod, matype=0)

# we only use the last value

fastValue = fastValues[-1]

slowValue = slowValues[-1]

# Render on Chart

_mt.plotPoint(‘fast’, fastValue, ‘#C70039’)

_mt.plotPoint(‘slow’, slowValue, ‘#3700C7’)

# Trading Logic

if fastValue > slowValue:



# _mt.hold(config.MARKET)


The Structure

It starts by the import statements, we need talib for having access to technical analysis, numpy and math for dealing with numbers and a few other basic python libs. We also import mtCommon which is required for any Strategy. Then we declare the required constants: STRAT_NAME, STRAT_TYPE, VERSION and NUM_CANDLES. STRAT_TYPE can be either mtCommon.SimpleStrategy (1) or mtCommon.TradingStrategy (2) and defines if the strategy is a Simple Strategy (producing signals) or a Trading Strategy (producing orders). If we want to use more than 25 candles during our calculations, we’ll need to increase the NUM_CANDLES constant accordingly. In the onDefParams method, we define 2 parameters for the user: SMA Fast and SMA Slow. The onTick method is the most interesting one, it is being called on each “Tick” so every time we receive a new candle and it’s where we do our calculation to decide if the strategy should Buy, Sell or Hold. First we retrieve the values for our parameters using the _mt.getParameter helper. Then we calculate the Moving Averages using talib’s MA method: We provide the candles we have, the desired period as well as the type of Moving Average (in our case SMA corresponding to maType 0). After this, we render the two Moving Averages on the chart using the _mt.plotPoint helper. And finally we have the logic that will determine if we issue a BUY or SELL signal relying on the Simple Strategy helpers: _mt.buy_mt.sell or _mt.hold

The Result

Now let’s try to run this to see what happens, we can see the our 2 parameters which we have defined (SMA Fast + Slow). Once the backtest is completed, we get the following:   What we observe here is that each time we have several Buy Orders but only  a single Sell Order. This is due to our Machina Configuration. To change that, we can go to the configuration for our Machina and change the Buy Settings to have only 1 Max Open Position Per Coin as shown: Running the backtest again will give the following behaviour where we can see every time a Buy Order followed by a Sell Order:   It’s definitely not recommended to run this strategy with real assets but you can use this strategy as a boilerplate for getting started and having fun with MachinaTrader!
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