Development of a Momentum Trading Algorithm
Your manual momentum trading stops being profitable due to emotions, and off-the-shelf bots don't account for the nuances of the crypto market? We build custom momentum algorithms that automatically scan assets, assess trend strength, and enter positions without FOMO or panic. The algorithm accounts for crypto-specific features: high volatility, 24/7 market, liquidity, and exchange peculiarities. Our team of blockchain engineers with 6+ years in algorithmic trading has implemented over 15 momentum strategies for clients from the CIS and Europe. We use only proven approaches: Tenderly for debugging, Slither for smart contract auditing (if on-chain execution is needed).
Types of Momentum Strategies: What to Choose?
Cross-sectional momentum (relative) — classic: from a universe of N assets, buy the top-K by past return, avoid laggards. Portfolio rotation every 5–20 days.
Time-series momentum (absolute) — buy an asset if its 12-month return is positive, short if negative.
Short-term momentum — capture impulse over 1–5 days. Requires fast execution. Foundry is 3–4 times faster than Hardhat for fuzzing, critical for such strategies.
| Type | Holding Period | Suitable For | Risks |
|---|---|---|---|
| Cross-sectional | 1–4 weeks | Trending market | Leader shift |
| Time-series | 1–12 months | Long-term trends | Trend reversal |
| Short-term | 1–5 days | High volatility | Fake-out flips |
Measuring Momentum: Tools
Rate of Change (ROC): ROC(n) = (Close - Close[n]) / Close[n] × 100. Relative Strength — asset return vs benchmark. MACD histogram — difference between fast and slow lines; increase = momentum strengthening.
ADX: >25 with rise = strong trend.
On crypto we also use on-chain metrics: active addresses, exchange inflows. For example, growth in active addresses + price = momentum confirmation.
Comparison of lookback periods for time-series momentum:
| Lookback | Sharpe (BTC) | Max DD | Win rate |
|---|---|---|---|
| 6 months | 1.2 | -15% | 62% |
| 12 months | 1.5 | -12% | 68% |
| 18 months | 1.1 | -18% | 59% |
Example backtest report (fragment)
For top-5 by risk-adjusted momentum over a recent multi-year period: average annual return 28%, Sharpe 1.4, max drawdown -22%. Holding period 10 days, commission 0.1% per trade.How to Build Momentum Scoring?
Here's minimal Python code:
def calculate_momentum_scores(prices_df, lookback=30): returns = prices_df.pct_change(lookback) # Normalize by volatility vol = prices_df.pct_change().rolling(lookback).std() risk_adjusted_momentum = returns / vol return risk_adjusted_momentum.iloc[-1].sort_values(ascending=False) Portfolio rotation: each week buy top-5 by risk-adjusted momentum. Sell those dropped out. This works only with proper filters.
What Are Momentum Crashes and How to Protect?
Momentum strategies are vulnerable to sharp reversals — "crashes". Cause: overheating and large players taking profit. Protection:
- Fast trailing stop (2–3 ATR)
- Max holding period (auto-close after N days)
- Correlation filter: don't hold more than 3 highly correlated positions
- Volatility scaling: reduce position size when volatility is high
We use Momentum investing (Wikipedia) as a theoretical basis.
Filters and Entry Signals
Trend filter: enter only when momentum > 0 AND price > SMA(200). Volume confirmation: suspiciously low volume — ignore signal. Breakout confirmation: momentum + level breakout — highest priority.
What's Included in the Work?
- Analytics: collect historical data, select universe, backtest hypotheses.
- Design: choose strategy type, lookup windows, filters, risk management.
- Implementation: code in Python with CCXT, PostgreSQL for candle storage, Grafana dashboards.
- Testing: out-of-sample test, forward test on demo account.
- Deployment: dedicated server, automatic scheduled run, monitoring.
Support: documentation, credentials, training, 3-month post-launch support.
Cost and ROI: Development investment starts from $5,000 depending on complexity. Clients typically see ROI within 6 months, with average annual returns of 28% in backtests.
Timeline and Guarantees
Development of a basic algorithm takes 3 to 6 weeks depending on complexity. Complex multi-strategy systems up to 12 weeks. We provide a code guarantee: free bug fixes for documented issues within 30 days.
Team Experience
We are a team of blockchain engineers with 6+ years in algorithmic trading and over 5 years on the market. We have implemented over 15 momentum strategies for clients from the CIS and Europe, completing 20+ projects overall. Using only proven approaches: Tenderly for debugging, Slither for smart contract auditing (if on-chain execution needed).
Contact us if you want a consultation on your strategy. Order development — we will assess your project and propose a solution.