QuantumStocks
The power of A.I. and Predictive Analytics in stock picking
Machine Intelligence on Quantitative Models. Your statistical edge in stock trading.
Daily signals from self-learning system with 3M+ Quant Model backtests on 3,500 U.S. stocks
Trade with Confidence like Never Before
Stock trading shouldn't be a guessing game anymore.
Every day, it processes more than 3 million action signals and trend-cycle indicators from industry-standard and proprietary trend analyzers, oscillators, candlestick patterns, as well as quant models based on financials and social media posts.
Amplify Your Intelligence
Individual Investors
- Get daily best stock opportunities filtered from most successful trading strategies by Artificial Intelligence.
- Know your expected risk/reward profile with every possible trade, Take Profit & Stop Loss points.
- Interested in a stock? Add it to your watchlist and get e-mail alerts when the time is best to buy or sell it.
Professional Traders
- Find out which strategies are best to apply on which securities.
- Discover similar historical patterns to gain actionable insight into upside/downside probabilities.
- Create and apply sophisticated Quant Models by custom screeners, signal API and automated back-tests.
Lookup a stock
How it works
Trade with Confidence
- Arizet's self-learning system continuously evaluates models based on their probability of success.
- Each model is analyzed separately on every stock in the 3,500 U.S. stock universe, as well as on sectors and market cap groups.
- Combined Quant Scores and BUY/SELL signals reflect the combination of ALL model-generated signals weighted by their models' rankings.
Know your Risks & Rewards
- Arizet's QuantumStocks system provides potential Gain vs. Loss analytics with every trade recommendation.
- It also provides Take Profit & Stop Loss recommended points from statistical analysis based on historical probabilities.
- You can choose trading opportunities based on your risk appetite.
Get Daily Trading Alerts
- You can "Follow" stocks by adding them to your Watchlist.
- Arizet will send you daily e-mail notifications with the updated BUY/SELL signals on the stocks in your Watchlist.
- You will also get automatic daily alerts on best BUY and SELL opportunities based on stocks' Overall Quant Scores and model-generated signals.
Stock Analytics
Quant Sentiment Score
The Quant Sentiment Score is calculated from the combination of all action signals and cycle indicators for the specific stock on the specific day.
Ranging from -100 to +100, the Score takes into account all BUY and SELL action signals and BULLISH/BEARISH cycle indicators, weighted by the ratings of the Models.
Based on the Combined Score, the system ranks stocks to BUYs, SELLs, or HOLDs, with confidence ranging from VERY HIGH to VERY LOW.
Quant Scores are re-calculated on a daily basis, after U.S. stock market closes.
Signals Heatmap
Signals Heatmap visualizes BUY/SELL signals, BULLISH/BEARISH cycle indicators, and their ratings on the stock for a given date. Ratings include:
- EXCELLENT - The model has greater than 87% success rate.
- GOOD - The model's success rate is between 67% and 87%.
- AVERAGE - Models with 57% to 67% success rates are rates as average.
- FAIR - More that 50% but less than 67% success rates.
- POOR - The model doesn't have any predictive power for the stock.
Expected Gain/Loss Analytics
With every BUY or SELL signal, QuantumStocks provides probabilistic analysis on potential gain and loss for different exit points.
Probabilities are calculated from thousands of backtest results where machine intelligence tests and learns patterns based on dozens of simulated exit strategies.
Different levels of potential exits are calculated based on stock price volatility and last 20 day ATR value (Average True Range)
Each row in the tree represents a pair of upside/downside points. For example, the first line tells that there is 62.2% chance that the stock price will reach $126.99 BEFORE reaching $116.41.
Quant Model List
The list shows all Quant Models that have an action signal or trend-cycle indicator on the stock for today.
Models are grouped first by their signals/cycles, then by their ratings.
Along with the name and rating, the list shows results of the best back-test for Model/Stock pair, including backtest period, Exit Strategy, Success Rate, Average Gain and T-Score.
By clicking on the list item, you can delve deeper into Model details by opening Model Analytics view.
Similar Pattern Discovery
Another unique feature from Arizet's A.I. engine available to "Plus" and "Pro" users is discovering similar patterns in history to better understand underlying risks and opportunities.
Similar pattern and subsequent 3 day, 1 week, 2 week and 1 month period stock price analytics allows you to further minimize risks and focus only on best opportunities.
By analyzing matching and missing signals and cycles, you can better understand how the patterns evolved over time and how different combinations of signals/cycles drive the stock prices.
Model & Backtest Analytics
Action Signal from the Model
There are four possible outputs from each Model for each stock: BUY signal, SELL signal, BULLISH cycle, BEARISH cycle.
BUY and SELL signals are calls for action based on today's closing price. BULLISH and BEARISH indicate that the stock is in a bullish or bearish cycle, though no action is recommended for today. Bullish cycle is either Up-Trend or Oversold situation, while Bearish cycle means Down-Trend or Overbought state.
Along with BUY and SELL action signals, Arizet provides TAKE PROFIT and STOP LOSS recommended exit points based on historical trading data and probabilities.
Model Rating Details
Quant Models are constantly tested and analyzed on each stock separately, as well as on sectors, market cap groups and the whole universe.
For each model, thousands of different exit strategies, testing periods and model parameters are tested simultaneously to identify best combinations that work and to filter out the ones that do not work.
Models then are rated based on their historical predictive power (Success Rate during back-test)
Backtest Details & Charting
Arizet's A.I. is not a "black-box" strategy. It provides a comprehensive visual features to analyze Models past performance and assess their quality.
Backtest Details and Charting view shows stock price chart and historical trades made by the Model. You can zoom in/out, scroll and animate the chart, click on a specific trade and analyze it in every detail.
Backtest Statistics
Statistics section shows gain/loss distribution over the testing period, as well as statistical outputs from the back-test to allow you better assess the effectiveness of the Model.
Some important data points you might want to analyze are:
- T-Score: shows the confidence level for the Model performance.
- Average/Median Gain: to estimate potential risk/reward based on historical performance.
- Sharpe Ratio: for Risk-Adjusted returns.
- Trade Durations: To understand how long the Model suggested trades will last on average.
What users say about QuantumStocks
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Who we are
Arizet QuantumStocks provides trading signals based on computerized systems and algorithms. All customers receive the same signals within any given algorithm package. All advice is impersonal and not tailored to any specific individual's unique situation. Arizet, and its principles, are not required to register with the NFA as a CTA and are publicly claiming this exemption. Information posted online or distributed through email has NOT been reviewed by any government agencies — this includes but is not limited to back-tested reports, statements and any other marketing materials. Carefully consider this prior to purchasing our algorithms. For more information on the exemption we are claiming, please visit the NFA website: http://www.nfa.futures.org/nfa-registration/cta/index.html. If you are in need of professional advice unique to your situation, please consult with a licensed broker/CTA.
Unless otherwise noted, all returns posted on this site and in our videos is considered Hypothetical Performance. HYPOTHETICAL PERFORMANCE RESULTS HAVE MANY INHERENT LIMITATIONS, SOME OF WHICH ARE DESCRIBED BELOW. NO REPRESENTATION IS BEING MADE THAT ANY ACCOUNT WILL OR IS LIKELY TO ACHIEVE PROFITS OR LOSSES SIMILAR TO THOSE SHOWN. IN FACT, THERE ARE FREQUENTLY SHARP DIFFERENCES BETWEEN HYPOTHETICAL PERFORMANCE RESULTS AND THE ACTUAL RESULTS SUBSEQUENTLY ACHIEVED BY ANY PARTICULAR TRADING PROGRAM. ONE OF THE LIMITATIONS OF HYPOTHETICAL PERFORMANCE RESULTS IS THAT THEY ARE GENERALLY PREPARED WITH THE BENEFIT OF HINDSIGHT. IN ADDITION, HYPOTHETICAL TRADING DOES NOT INVOLVE FINANCIAL RISK, AND NO HYPOTHETICAL TRADING RECORD CAN COMPLETELY ACCOUNT FOR THE IMPACT OF FINANCIAL RISK IN ACTUAL TRADING. FOR EXAMPLE, THE ABILITY TO WITHSTAND LOSSES OR ADHERE TO A PARTICULAR TRADING PROGRAM IN SPITE OF TRADING LOSSES ARE MATERIAL POINTS WHICH CAN ALSO ADVERSELY AFFECT ACTUAL TRADING RESULTS. THERE ARE NUMEROUS OTHER FACTORS RELATED TO THE MARKETS IN GENERAL OR TO THE IMPLEMENTATION OF ANY SPECIFIC TRADING PROGRAM WHICH CANNOT BE FULLY ACCOUNTED FOR IN THE PREPARATION OF HYPOTHETICAL PERFORMANCE RESULTS AND ALL OF WHICH CAN ADVERSELY AFFECT ACTUAL TRADING RESULTS.
