CIPHERWhat is CIPHER?
CIPHER is an autonomous AI trading model built to trade crypto markets 24/7 without human intervention. It watches four pairs on Binance, generates signals using a combination of deep learning and institutional knowledge retrieval, and executes trades in both directions — long and short.
CIPHER is currently in beta. The model is live and actively trading, but performance numbers are early. It is still learning. The current win rate sits at 64% and is expected to improve as the model accumulates more live trading experience.
Current Status
CIPHER is in active beta testing. Live trading is running. Users on the early access whitelist are being onboarded in small batches. Expect updates, model version bumps, and performance improvements on a rolling basis.
Supported Pairs
CIPHER monitors and trades four pairs on Binance:
- BTC/USDT — Bitcoin
- ETH/USDT — Ethereum
- SOL/USDT — Solana
- XRP/USDT — XRP
Capital rotates between pairs based on signal confidence. CIPHER evaluates each pair independently and only deploys where the signal is clearest.
Version History
CIPHER has gone through three major versions. Each version improved win rate, reduced max drawdown, and generated higher cumulative returns over the same number of trading episodes.
Episode P&L % — v1 vs v2 vs v3 · Real data · $10,000 starting balance
v3 live: +147.8%Agent learned to do nothing. Stuck at −0.1% for 3,000+ episodes. Grade: D
Bug fixes: RSI clipped, 4-action space, train/val split. Volatile but learning.
5,000 candles (208 days). Live balance: $24,780 from $10,000. Best: $48,771.
v1 established the base architecture. v2 introduced knowledge retrieval and improved risk controls. v3 (current) refined entry/exit timing and added overtrading prevention — resulting in fewer but higher-quality trades.
How It Learns
Unlike rule-based bots that follow fixed conditions, CIPHER actually learns. It trains on 5,000 candles (208 days) of history per pair, runs technical analysis across 14 indicators, validates against held-out data it has never seen, and checks a knowledge base of 3,072 insights extracted from institutional trading literature — then makes a call.
Most algorithmic systems stop at RSI, MACD, and Bollinger Bands. CIPHER uses all of those — but before every decision it also queries a curated library of trading insights. If the current setup matches patterns described in institutional research, that match shifts the confidence score.
Long & Short
CIPHER makes money in both directions. It opens long positions when it expects a rise, and short positions when it expects a drop. Each direction has its own dedicated entry and exit action — no ambiguity in what the signal means.
Fees & Realism
Every P&L number you see is after Binance's 0.1% fee. We don't show numbers that look good on paper but evaporate when you actually trade. CIPHER is trained to be profitable after transaction costs, not before.
Built By
CIPHER is designed and built by @itsalimanuel. All model versions, training runs, and architecture decisions are made by a single developer focused on building a genuinely useful trading system — not a demo.