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What do each of the columns in the 'Matrix App' represent?

  1. Date: The data in each column is updated daily, around 20 minutes after midnight UTC. The displayed date, such as '2023-10-03', indicates the data as of the close on the previous day, which in this case would be 2023-10-02.

  2. Rank: The rank indicates the relative strength of an asset within the matrix, with '1' being the strongest. The matrix is initially sorted to display assets by descending strength. This ranking is derived from a comparative analysis of each asset against others in the matrix. For example, in a matrix named 'The Magnificent 7', which includes AAPL, MSFT, AMZN, TSLA, NFLX, META, NVDA, we compare AAPL against MSFT. If our proprietary quantitative model favors AAPL over MSFT, AAPL earns a point. This process is repeated across all asset permutations, and the total points determine the asset's rank.

  3. Ticker: This column contains the ticker symbols, which are the official market abbreviations or codes assigned to assets, facilitating easy identification and trading in financial markets.

  4. Description: This column provides a clear identification or name of the entity or instrument associated with the ticker. For instance, if the ticker is 'TSLA', the description would be 'Tesla', representing Tesla, Inc. Similarly, for 'IWM', the description would be 'iShares Russell 2000 ETF', which refers to the exchange-traded fund tracking the Russell 2000 index.

  5. Signal: Generated by our proprietary quantitative model, this column provides 'buy' or 'sell' signals based on factors like momentum, trend, volatility, volume, and price. It's important to note that there are only two types of signals: buy and sell. If you're considering a single asset purchase, the optimal time to buy is when the signal changes from sell to buy. However, if your strategy involves acquiring the top-ranked assets, they might already be on a buy signal, which is acceptable. The signals serve as guidance, and their interpretation should align with your overall investment approach.

  6. Price: This represents the closing price of the asset on the previous day. For stocks, this is the price at 4 pm EST, and for cryptocurrencies, it's the price at 11:59:59 pm UTC of the preceding day.

  7. Exchange: In this column, you'll find the name of the exchange that serves as the primary source for the asset's data. It indicates the financial market or trading platform where the asset is listed and traded.

  8. LongStop: This column provides the current trailing stop value for long positions, updated daily. It's the threshold below which the closing price of an asset would activate a stop, helping to manage downside risk.

  9. ShortStop: Similar to the LongStop, this is a trailing stop for short positions, updated daily. A closing price above this level would trigger the stop.

  10. Inflection Point: Updated daily, this point serves as a critical reference level for asset analysis. When prices are above this point, it indicates a potentially favorable market condition, while prices below suggest a less favorable scenario. The inflection point is strategically used to assess whether to add to or reverse positions, offering valuable insights for decision-making.

  11. 1 StdDev: This column indicates the asset's price position relative to the standard deviation band over a 20-day period. 'Above' means the price is above the upper band, 'below' indicates it's under the lower band, and 'ranging' shows the price is oscillating within these bands.

  12. High: The highest price of the asset recorded on the previous day.

  13. Low: The lowest price of the asset recorded on the previous day.

What is the best approach when facing a 'sell' in 'Top 5 Strategy Action' and a 'buy' in 'Model Signal'?

The 'Top 5 Strategy Action' column refers to the Top 5 Daily Strategy and is separate from QCL's quant 'Model Signal'. If a 'sell' value appears in the 'Top 5 Strategy Action', that doesn't mean the asset is not a good asset to hold. Instead, it means that it is no longer a top 5 ranked asset within that particular matrix. The 'Model Signal' compares that asset to the base currency, such as USD, without incorporating all the other assets within that matrix. It all depends on the strategy you are running. If you're looking to trade just BTC, for example, then you might value the 'Model Signal' more than BTC's rank within the matrix.

When is the 'Model Signal' most effective?

The 'signal' is purely quantitative, based on technicals and are triggered by changes in momentum, trend, volatility, volume, and price. There are dozens of variables that go into producing these long and short signals in an effort to be in the right direction of the trade and not get shaken out of the trade, despite tremendous volatility. The 'signal' works best during trending markets as seen in the purple box below.

QuantCheck Labs: ETHUSDT example of trending market.png

In a ranging/choppy market as shown in the purple box below, the signal doesn’t perform as well. However, the areas around it make up for the loss and more. The most profitable approach we have discovered is to aim for the bulk of the movement and endure the choppy markets, rather than trying to catch every small fluctuation. As the saying goes, "A person who chases two rabbits catches neither.”

QuantCheck Labs: ETHUSDT example of ranging market.png

How do I read the charts? When are the trades executed?

On the charts the blue arrow below represent longs (buys) and the red arrow from above represent shorts (sells). The arrows are placed on the open of the next bar. For example, if today is March 2nd the model will analyze data as per 11:59 UTC on March 2nd and if a long signal is triggered, it will be placed on the open of March 3rd. If a purple arrow appears without a blue or red arrow, that signals the model went to cash.

Does QuantCheck Labs have a discord or telegram group?

No communication channels via Discord or Telegram are currently available. All interactions and correspondences are exclusively conducted through the official website or via email.

Can I invest my funds with QuantCheck Labs?

We do not invest funds for subscribers. QuantCheck Labs is not registered with any financial regulatory agencies. QuantCheck Labs is purely a research publishing firm and does not provide any financial advice.

How do I cancel my subscription?

To cancel a subscription, customers should email, clearly stating the reason for their cancellation. This request must be submitted at least three days before the start of the next billing cycle.

Why does the matrix appear empty on certain days?

The matrix may display as empty for specific days if the comprehensive data set, encompassing hundreds of thousands of data points, is not fully received for that particular day, or there is maintenance. This approach is adopted to maintain consistency and integrity across all days. Generally, as positions are often held for extended periods, spanning several days to weeks, this occurrence should have minimal impact.

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