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DCA Bitcoin based on Risk

Build your own Risk-Based DCA strategy to mitigate risk and maximize your bitcoin accumulation.

You can't predict the market.
Neither can we.

But we can make sense of the present. That’s how we’re taking DCA to the next level.
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Stress-free investing

Eliminate DCA anxiety today. Say goodbye to fear-of-peaks and missed opportunities during dips.

Start building your personal investment strategy today to maximize your Bitcoin accumulation and minimize the downsides of DCA.

What is risk?

Risk is a score between 0 and 100 that represents the current market risk.
Analyzing a universe of market factors using machine learning, our risk model successfully captures the real state of the market.

Key upgrades

Risk is your investment compass, guiding you to scale up your DCA investments in favorable conditions and scale down or exit during overheated phases – No predictions, prophecies, or complex strategies involved.

The image displays the simplicity of our risk gauge.
Simplicity
Utilizing risk in your DCA strategy requires minimal additional effort.
The image displays the performance of the indicator in the bullrun of 2021 where the Model Risk confidently called the top at $61'195 with a risk level of 99.
Confidence
Is this a good dip to DCA more? Never doubt with real-time risk classification
The image displays DCA vs DDCA performance over the past 3 years
Performance
The risk-based DCA strategy is proven to outperform regular DCA since 2021

Worry less. Accumulate more.

See how simply adjusting the dollar-amount you DCA based on Risk drastically improves your BTC accumulation and final wealth.

Visit us on a desktop device for an interactive backtesting calculator where you can compare a normal DCA strategy to our dynamic DCA approach.

Buying Strategy
These risk levels and prices are dynamic and will change with time as the price of BTC changes. You can use these to set limit orders according to your risk strategy.
Risk
0
5
10
15
20
25
30
35
40
45
Selling Strategy
These risk levels and prices are dynamic and will change with time as the price of BTC changes. You can use these to set limit orders according to your risk strategy.
Risk
55
60
65
70
75
80
85
90
95
100
Bitcoin price plotted with buy and sell actions as defined in your strategy. The Risk value has a 6 month cutoff for non-members.
% Profit Final Wealth in Dollars Final Wealth in BTC Amount Invested
Risk-based DCA - - - -
DCA/HODL - - - -

The minds behind

Initially, the Risk Model was in our private toolbox. What began as an experiment in exploiting risk identification , rather than predicting prices, yielded impressive results.

Seeing the potential for a much wider application in finance than we initially anticipated, we felt compelled to share it with the world.

Alessandro Parini

Economist
University of Basel
Co-founder

Axel Wikner

Business Analyst & Data Scientist
NTNU
Co-founder

The minds behind

Axel Wikner

BA & Data Scientist
NTNU
Co-founder

Bewerbungsfoto

Alessandro Parini

Economist
University of Basel
Co-founder

Initially, the Risk Model was our private toolbox. What began as an experiment in exploiting risk identification through classification yielded impressive results.

The Risk Model

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Get started for free

Identify pristine opportunities, maximize your long-term BTC stack and leave complexity behind.

14 Day Trial
Free
Live Risk Model
Historical Risk Monitor
No credit card required
-
Monthly
$9.99
Live Risk Model
Historical Risk Monitor
-
-
Billed Yearly
$99
Live Risk Model
Historical Risk Monitor
Closed Community Access
17% off monthly
Lifetime
$499
Live Risk Model
Historical Risk Monitor
Closed Community Access
Lifetime Access
In doubt?

Our FAQ has you covered.

Multifactorial Design & Input Variables
The Risk Model is multifactorial, meaning it considers vast amount market factors and data points to compute the risk. Some key attributes include asset growth models for capturing asset-specific patterns, regression to model time and seasonality, and traditional TA metrics for price-based classification.

Self-Adjusting Mechanism
The model is self-adjusting, updating and refining itself daily as new data becomes available. This continuous improvement enhances its accuracy and confidence level over time. The algorithm is powered by a range of techniques including data analysis, statistical modeling, and automation.

Historical vs. Live Data
It’s crucial to understand that while the algorithm improves daily, the historical risk levels reflect the data shown on our live risk meter for each specific day. The model is not retrofitted or predictive; it classifies the current price on a daily basis.

Naturally, the exact mathematical components of our model remain proprietary. However, you can dive a lot deeper into its build, input variables, and other attributes in our whitepaper.

Proof of Profit (PoP) Framework

Before publishing any metrics or indicators, we subject them to our rigorous testing environment known as Proof of Profit (PoP). As a member, you gain access to detailed and interactive charts that show how our Risk Model has performed historically.

  1. Dataset Optimization
    The first step in PoP involves meticulous dataset sourcing and comparison. We prioritize reliable and diverse datasets while mitigating challenges like multicollinearity, biased data, and potential data gaps.

  2. Backtesting & Benchmarking
    Our model undergoes extensive backtesting, benchmarked against three widely recognized trading and investing strategies: HODL, DCA, and a trend-following strategy. You can view these backtesting results in our whitepaper.

  3. Forward-and Stress Testing
    The model is subjected to various simulated scenarios and stressful environments to evaluate its resilience. This step allows us to assess how the model performs under a wide variety of future price trajectories. AlphaSquared is the only platform in the crypto space currently offering this level of forward-testing capabilities. You can inspect this approach in our Whitepaper.

The Risk Model is very intuitive to use. Put simply, the lower the risk level, the more advisable it is to buy. The higher the risk, the more advisable it is to sell.

By using our Dynamic Dollar Cost Averaging approach (DDCA), you adjust the size of your investment based on the risk level provided by The Risk Model. The lower the risk, the more you buy, and the higher the risk, the more you sell, or simply invest less. As an AlphaSquared member, you gain exclusive access to pre-configured, ready-to-use DDCA strategies tailored to various risk tolerances. 

Personally, we use our Risk Model and DDCA as standalone tools. However, the risk identification provided by the Risk Model also serves as a great starting point for executing other strategies.

Invest together

Join our community of earlybirds

Our Early Bird members gain access to our telegram channel, where you can connect with like-minded crypto enthusiasts, share insights, and get early access to new features and updates.

14 Days for free

We offer a 14 day free trial with no strings attached and no credit card needed.
See what AlphaSquared has to offer!

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