SpotSniper is a self-learning Binance spot trading bot that reads market regimes, matches historical patterns, and executes with precision — running 24/7 on your desktop.
Every 200ms the Thinker process evaluates regime, confidence, and pattern match — translating market noise into actionable signals.
Nine core systems built from the ground up for self-learning, adaptive spot trading.
Built for resilience — a crash in one component never affects the others.
Early adopters lock in lifetime access before we switch to a subscription model.
Early adopter pricing is available for a limited number of seats only. Once the launch batch fills, lifetime access closes and the monthly plan becomes the only option.
Not all bots are built the same. See what separates a self-learning engine from the alternatives.
| Capability | SpotSniper | Generic grid bots | Signal-copy bots |
|---|---|---|---|
| Self-learning engine | ✓ | ✗ | ✗ |
| Multi-timeframe analysis | ✓ | ✗ | ✗ |
| Market regime detection | ✓ | ✗ | Partial |
| ATR-calibrated exits | ✓ | ✗ | ✗ |
| 100% local — no cloud | ✓ | ✗ | ✗ |
| Pattern memory & replay | ✓ | ✗ | ✗ |
| Demo / paper trading mode | ✓ | ✓ | ✓ |
"Finally a bot that actually adapts. I ran it through three different market conditions — a breakout rally, a sideways grind, and a sharp correction — and the signal quality noticeably improved each time. Nothing else I've tried learns like this."
"The regime detection alone is worth it. Knowing whether you're in a trend or a choppy range changes everything about position sizing. SpotSniper figures this out automatically and adjusts — I don't have to babysit the settings anymore."
"Running it locally is the killer feature for me. My API keys never leave my machine, and there's no subscription server that can go down mid-trade. It just runs — quietly, continuously, without me thinking about it."
Yes — SpotSniper runs as a local process, which means your machine needs to be on and connected to the internet for the Trader process to execute orders. Most serious traders run it on a dedicated low-power desktop or mini PC that stays on continuously.
The Trainer and Thinker processes are designed to consume minimal resources so they don't compete with other applications. You can also configure scheduled trainer runs during off-hours to further reduce daytime load.
Your API keys are stored locally using OS-level encrypted key storage (Keychain on Mac, DPAPI on Windows). They are never transmitted to any external server — SpotSniper makes Binance API calls directly from your machine.
We strongly recommend creating a Binance API key with trading permissions only — never enable withdrawals on the key you provide to SpotSniper.
On first setup, the Trainer downloads and processes 6+ years of historical data across your selected pairs and timeframes. This typically takes 20–45 minutes on modern hardware, depending on how many pairs you configure.
Subsequent nightly retraining runs only process new data since the last run, which completes in under 3 minutes on average.
SpotSniper supports any USDT spot pair available on Binance. At launch, it ships pre-configured for BTC, ETH, SOL, BNB, XRP, and ADA. You can add any additional USDT pair through the settings panel.
Each pair runs its own independent Thinker instance. Adding more pairs increases CPU and memory usage proportionally, but the architecture handles 10–20 pairs comfortably on modern hardware.
Demo mode runs the full signal and execution pipeline against live Binance market data, but instead of placing real orders all positions are simulated locally with a virtual portfolio. You see real signal output, realistic fills, and accurate P&L tracking.
We recommend running demo mode for at least 2–4 weeks before switching to live trading so you can observe how the bot behaves across different market conditions.
Yes. Native builds are available for macOS (Apple Silicon and Intel) and Windows (x64). Both builds use the same codebase and produce identical trading behaviour. Linux builds are planned for a future release.
Minimum requirements: 8GB RAM, 4-core CPU, 10GB free disk space for historical data storage. macOS 13+ or Windows 10/11.
Join early access. Mac and Windows builds available now.