Smart Crypto Trading Strategies for everyone

1.

Smart Crypto Trading
Strategies for everyone

2.

Investment approach
Data-driven: Every day the algorithms process terabytes of
market data to find trading signals. Data that analyzed: Price,
social media sentiment, blockchain data, Google searches, etc.
Purely algorithmic approach eliminates human emotions from
trading
Machine Learning model learns, adapts and improves the
trading models each day and becomes smarter

3.

MACHINE LEARNING (ML)
Data-driven Strategy
Patterns in the data provide clues about
future market behavior and form the
basis for our strategies
Big Data
ML algorithms analyze terabytes of data
daily (crypto price data, social media
sentiment, blockchain activity, etc.).
Quant Finance 2.0:
Modern statistics + adaptability
System
Allows purely systematic approach

4.

1
ML Market
Environment
Classification
Machine Learning model
classifies current market
environment, its risks
and makes volatility
prediction
2
Trade-Flow
Analysis
Order-Flow and
Liquidity Imbalances are
analyzed and allow
early prediction of
trends
3
Trade Signal
Synthesis of Trade
Flow Analysis with
proprietary indicators,
such as social media
sentiment, blockchain
movements, etc.
4
ML Signal
Analyse
ML Meta model
monitors signal inputs
and decides whether to
take a trade or not
5
Position Sizing,
Monitoring
Risk model decides
appropriate position
sizing and actively
monitors portfolio and
market risks.

5.

High-Frequency Strategies

6.

High-Frequency Momentum BTC: +130% since
April. Sharpe Ratio: 4.18. Max Drawdown: -17.98%

7.

High-Frequency Momentum ETH: +123% since
April. Sharpe Ratio: 3.1. Max Drawdown: -13.92%

8.

Quantum Momentum Strategies

9.

Quantum Momentum BTC: +87% since April.
Sharpe Ratio: 5.39. Max Drawdown: 22.5%

10.

Quantamental ETH: +137% since April. Sharpe
Ratio: 2.85. Max Drawdown: -50.5%.

11.

Discretionary Strategies

12.

Discretionary ETH: +270% since April. Sharpe
Ratio: 8.22. Max Drawdown: -15.43%

13.

Thank you!