At Roxtengraphs we have been watching the trading profession transform before our eyes for eight straight years. In 2017, 80 % of volume was still executed by humans; by December 2025, according to Roxtengraphs internal calculations, more than 87 % of trades on the largest crypto exchanges are fully automated.
At Roxtengraphs we don’t just observe this shift — we lead it. Our clients, from retail traders to funds managing over $200 million, are already using systems that looked like science fiction just five years ago.
1. The Evolution of Algo Trading: From Simple Bots to Full-Fledged Neural Networks
At Roxtengraphs we divide algorithmic trading evolution into four generations:
- 1st: basic arbitrage and grid bots (2017–2019)
- 2nd: classic indicator-based strategies (RSI, MACD, Volume Profile)
- 3rd: machine learning and LSTM models (2021–2023)
- 4th (current): multimodal neural networks that simultaneously process price action, on-chain metrics, news, social sentiment, and even satellite imagery.
Today at Roxtengraphs the most effective model — RoxtenAlpha v4.1 — delivers a Sharpe Ratio of 4.8 and 73.4 % directional accuracy for BTC on the 4-hour timeframe over the past 12 months.
2. APIs as the Nervous System of Modern Trading
At Roxtengraphs we have connected more than 40 exchanges and liquidity aggregators via REST and WebSocket APIs. This gives us three critical edges:
- Latency below 12 ms to Binance, Bybit, OKX, and Hyperliquid
- Access to order-book depth up to 1,000 levels (vs. standard 20)
- Simultaneous execution across 12+ venues without slippage
At Roxtengraphs we built our own API orchestrator that automatically routes orders to the best price across all venues, factoring in fees and depth. Average execution improvement: 9–14 basis points per trade.
3. On-Chain Data + Big Data: The New Alpha Source
At Roxtengraphs we monitor over 180 real-time on-chain metrics:
- Realized Profit/Loss Ratio
- MVRV Z-Score
- Exchange Netflow (all exchanges + whale wallets)
- Stablecoin Supply Ratio
- Funding Rate Arbitrage Index
These flow through our own Bitcoin, Ethereum, Solana, and Tron nodes operated by the Roxtengraphs team. We combine them with off-chain sources:
- Sentiment analysis of 180,000 Telegram channels and Discord servers
- Google Trends + LunarCrush API
- Bloomberg Terminal + Reuters Eikon for traditional-market correlations
The result is RoxtenOnchain v3, which predicted the May 2025 crash 11 days in advance with 81 % confidence.
4. Automated Risk Management: Where Humans Are No Longer Needed
At Roxtengraphs we have completely removed human emotion from risk management. Our systems in real time:
- Dynamically size positions based on volatility (Kelly Criterion + 10,000 Monte-Carlo simulations)
- Auto-hedge delta via perpetual futures and Deribit options
- Trigger emergency kill-switches on anomalies (sudden 50k+ BTC exchange outflow, liquidity drop >70 %, etc.)
In 2025 alone, the RoxtenRisk Shield system automatically closed 47 potentially disastrous situations, saving an average of 41 % of Roxtengraphs client capital.
5. Case Study: Gelaxy IG and Roxtengraphs Trading Systems
At Roxtengraphs we are especially proud of our partnership with one of Europe’s fastest-growing crypto funds — Gelaxy IG.
Since January 2025, Gelaxy IG has been running the full Roxtengraphs technology stack:
- RoxtenAlpha v4 for signal generation
- RoxtenExecutor API for execution
- RoxtenOnchain for altcoin filtering
- RoxtenRisk Shield for risk control
Results after 11 months of 2025:
- +287 % return vs. BTC +94 %
- Maximum drawdown –14.8 % (market –56 %)
- Sharpe Ratio 6.2
- 94 % of trades fully automated
Today Gelaxy IG is living proof of how Roxtengraphs technology turns a solid fund into a market leader.
6. What’s Next: Roxtengraphs Vision for 2026–2030
At Roxtengraphs we are already testing fifth-generation systems:
- Autonomous agents built on Grok-4 and Claude 3.5 that discover new strategies on their own
- Full integration with decentralized exchanges like Hyperliquid and dYdX v4
- Microstructure prediction 30–120 seconds ahead (next-level latency trading)
At Roxtengraphs we are convinced: by 2030, 99 % of retail traders will either switch to automated systems or disappear from the market.
Conclusion from Roxtengraphs
Modern trading is no longer about intuition or “market feel.” It is engineering, mathematics, and big data.
At Roxtengraphs we say it simply: the successful trader of the future is not the one who guesses direction best. It is the one who builds, tests, and adapts systems best.
Anyone still trading manually in 2025 is doing the equivalent of trading stocks over the phone in the 1980s.
At Roxtengraphs we already live in the future of trading — and we invite you to join us.
