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Signal Only

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Signal Only allows you to trade signals you receive in your own account without linking an external broker. This is the easiest to setup as no external broker is required. When you are ready to take advantage of fully automated trading you can upgrade at any time.


When you subscribe to strategies you will receive Trade Signals that give you the information to properly execute the trade entries and when trade exits are required, you will also receive an exit signal as well.

The subscription price you see is for the interval (monthly,yearly etc...) chosen as a flat fee. We DO NOT charge per contract fees or fees for profits. You pay a single subscription fee and trade how you like with as many contracts as you like.

When subscribing to any strategy you agree to our subscription terms.

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Hypothetical YTD return of $10,000

as of 05/29/2023

*Note that we DO NOT reinvest profits when calculating performance



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The Synthetic-SPY is a machine-learning based strategy designed to predict and outperform the price movements of S&P 500 SPY ETF.


Beat the SPY annualized returns with very low drawdowns regardless of market conditions, using Moneza’s unique Machine Learning technology.

Funds and Holding

Cost per contract
Minimum investment required per contract
Maximum drawdown per contract
$75 (7.66%)
Holding time per contract
1-2 Years


This strategy is appropriate for any size positions
This strategy is meant for long-term holding periods (>1 year) with the focus of preserving capital and minimizing drawdowns during bear markets

Units in Thousands USD



True to its name, this strategy creates a synthetic ETF that trades the SPDR® S&P 500® ETF.

CAPITALIZING ON PRICE PREDICTIONS: The Synthetic-SPY trades by capitalizing on predicted price directions SPY ETFs. This is done through machine learning (ML) techniques which analyzes and signals entry and exit points based on historical price movements in combination machine learning.

  • COMBINATION OF MULTIPLE MOVING AVERAGES: This is one of the primary measures that we assess as our ML engine works to produce changing historical moving averages that are dynamic to each ETF. In other words, these durations change based on the ETF among other market conditions.
  • RETURN OVER MAXIMUM DRAWDOWN: This measures the differences between the asset’s point of maximum return and any subsequent dips. In other words, it’s the return on the largest difference between a price’s high point and subsequent low point. This is used in our ML engines to signal for exit points to avoid major drawdowns (losses) and entry points thereafter to maximize subsequent returns.


As a subset of artificial intelligence, machine learning focuses on technologies to allow computers to learn from complex datasets which is then used to make predictions and decisions.

ML-BASED TRADING: In contrast to traditional algorithmic trading, machine learning can spot patterns in enormous volumes of data. Machine learning can find relationships within historical data that can then be applied to trading strategies.

Our ML engines help us accelerate and automate some of the most complex and time-consuming aspects of algorithmic trading while providing us with advantages beyond traditional rule-based trading.

Recent Trade

as of 04/26/2022

Recent trades are for informational purposes and show the most recent closed trade a subscriber to SYNTHETIC - SPY would have executed by subscribing to this strategy and allowing Maika to execute in your broker account.


Average Price