Bittensor Trading Signals
AI-powered TAO signals from Omniscius v4.2 (Theros). Walk-forward validated.
AlgoZilla monitors Bittensor (TAO) around the clock using 170+ technical indicators. Our Omniscius v4.2 (Theros) model delivers a 87.0% win rate across 180 backtest trades with a Sharpe ratio of 16.9 and a maximum drawdown of -13.7%.
Every signal includes entry price, stop-loss, and take-profit. The model is retrained bi-weekly specifically for TAO, adapting to its unique market dynamics.
About Bittensor
Bittensor (TAO) is a decentralized machine learning network where participants are rewarded for contributing AI models. As the leading decentralized AI protocol, TAO prices are heavily influenced by AI sector developments and network growth metrics. The token shows strong momentum patterns during AI narrative cycles and has distinct volatility characteristics compared to other assets.
TAO Performancev4.2 Theros
Based on the most recent 50 backtest trades for Bittensor. Every metric below — win rate, avg win/loss, drawdown, R/R — is computed over the same sample.
Paper Trade Resultsv4.2 Theros
TAO Monthly Calendar
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Year Σ |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 |
+160.7%
16t
|
+165.3%
26t
|
+228.1%
26t
|
+55.6%
18t
|
—
|
—
|
—
|
—
|
—
|
—
|
—
|
—
|
+3,430.3% |
Each cell shows that month's compounded return. Click any cell to drill into the full trade log for that month.
Simulated live trading results for Bittensor. Paper trades are executed monthly — each month represents a clean start.
How paper trades work: Paper trades simulate real-time signal execution without actual capital. Each monthly result shows the compound return from following every signal from the first day of that month — a clean entry point with no carry-over from previous months. The quarterly figure (Q1, Q2, etc.) compounds across three months, reflecting what a full-quarter allocation would have returned.
The model is retrained bi-weekly, which means paper trade results reflect the exact same model updates that live subscribers receive. Results include trading fees based on Bitvavo rates (0.15% entry + 0.25% exit). No slippage is applied. Trading via Bitget (0.1% / 0.1%) is significantly cheaper and would improve returns further.
Trade Historyv4.2 Theros
Price chart with entry (green) and exit (red/green) points from the walk-forward backtest.
Backtest Performancev4.2 Theros
Walk-forward validated results for TAO. Tested across 2017–2026.
Recent Tradesv4.2 Theros
Last 20 trades from the walk-forward backtest (run: April 29, 2026). Backtests are re-run after each bi-weekly model retrain.
| Entry | Exit | PnL | Regime | Duration |
|---|---|---|---|---|
| 25 Apr 2026 18:00 | 27 Apr 2026 14:00 | +1.15% | SIDEWAYS | 1.9d |
| 20 Apr 2026 11:00 | 24 Apr 2026 13:00 | +1.61% | SIDEWAYS | 4.1d |
| 16 Apr 2026 19:00 | 17 Apr 2026 15:00 | +7.28% | SIDEWAYS | 21h |
| 16 Apr 2026 19:00 | 19 Apr 2026 18:00 | +5.69% | SIDEWAYS | 1.6d |
| 15 Apr 2026 02:00 | 15 Apr 2026 14:00 | -0.26% | BEAR | 13h |
| 11 Apr 2026 13:00 | 11 Apr 2026 21:00 | +5.09% | BEAR | 9h |
| 11 Apr 2026 13:00 | 13 Apr 2026 01:00 | -0.82% | BEAR | 16h |
| 11 Apr 2026 13:00 | 13 Apr 2026 22:00 | -2.24% | BEAR | 6h |
| 11 Apr 2026 13:00 | 14 Apr 2026 13:00 | -1.05% | BEAR | 3h |
| 07 Apr 2026 20:00 | 08 Apr 2026 08:00 | +9.84% | BEAR | 13h |
| 07 Apr 2026 20:00 | 09 Apr 2026 12:00 | -0.35% | BEAR | 16h |
| 07 Apr 2026 20:00 | 11 Apr 2026 00:00 | +13.21% | BEAR | 24h |
| 06 Apr 2026 01:00 | 06 Apr 2026 08:00 | +4.58% | BEAR | 8h |
| 06 Apr 2026 01:00 | 07 Apr 2026 05:00 | +0.76% | BEAR | 9h |
| 03 Apr 2026 05:00 | 03 Apr 2026 13:00 | +1.90% | BEAR | 9h |
| 03 Apr 2026 05:00 | 05 Apr 2026 12:00 | +4.09% | BEAR | 1.5d |
| 01 Apr 2026 07:00 | 01 Apr 2026 13:00 | +0.47% | BEAR | 7h |
| 01 Apr 2026 07:00 | 02 Apr 2026 12:00 | +3.59% | BEAR | 11h |
| 22 Mar 2026 21:00 | 25 Mar 2026 09:00 | +33.26% | BEAR | 2.5d |
| 22 Mar 2026 21:00 | 26 Mar 2026 13:00 | +0.09% | BEAR | 16h |
Frequently Asked Questions
What is a backtest?
A backtest simulates how the model would have traded using historical data. Our backtests use walk-forward validation: the model is trained on past data and tested on future data it has never seen. This prevents overfitting and gives realistic performance estimates. View TAO backtest →
What are paper trades?
Paper trades are live signals executed in real-time without real money. They show how the model performs right now on current market data. Unlike backtests, paper trades have no hindsight bias — they prove the model works in live conditions. View paper trades →
Backtest vs Paper Trade?
Backtests cover years of data across multiple market cycles (bull, bear, sideways). Paper trades cover weeks to months of live data. Together they provide a complete picture: backtests show long-term robustness, paper trades confirm current-market performance.
How often is the model retrained?
The Omniscius model is retrained every two weeks per coin. Each retrain ingests the latest price data, on-chain metrics, and sentiment indicators. Feature importance is recalculated automatically so the model adapts to evolving market conditions. Learn more about Omniscius →
Start Trading Bittensor Smarter
Every signal includes entry price, stop-loss, and take-profit. Delivered to your Telegram the moment our model detects an opportunity.
