Transparent Track Record
Every signal we issue is tracked, scored, and published. No cherry-picking. No hiding losses. Just receipts.
This table contains two different accuracy measurements that answer different questions. Time-window accuracy measures what percentage of all signals were correct when checked at a specific time horizon (1h, 4h, 12h, 24h). Confidence-level accuracy measures correctness broken out by how confident the system was — HIGH or MEDIUM — regardless of when the outcome was evaluated.
| Metric | Accuracy | Correct | Wrong | Signals |
|---|---|---|---|---|
| Loading performance data... | ||||
Cumulative vs daily win rate — real tracked data
Breakdown by confidence level
Signal accuracy sorted by performance (best available window)
Win rate per symbol at selected time window — click a symbol to toggle visibility
Our system monitors 3 major exchanges (Bybit, Binance, Hyperliquid) across 500+ symbols in real time, tracking derivatives data, 2,000+ whale wallets, funding rates, open interest, and liquidation levels. Every signal passes a 5-factor confirmation pipeline before publication.
Every 5 minutes, our engine scans 500+ symbols for whale consensus regime flips. Each detected flip passes through a 5-factor confirmation pipeline: cross-asset alignment (BTC/ETH agreement), derivatives confirmation (funding rates, long/short ratios, OI momentum), price zone analysis (premium vs discount within 24h range), multi-snapshot consistency, and whale momentum acceleration. Only signals scoring above 0.45 confidence are published. Each signal includes direction (LONG/SHORT), a confidence score from 0.0 to 1.0, and entry price.
We auto-discover and monitor 2,000+ whale wallets from Hyperliquid — the largest on-chain perpetual DEX. See what smart money is actually doing: position sizes, entry/exit points, which tokens they're accumulating, and when they're reducing exposure. This isn't aggregated data — it's individual wallet-level intelligence updated in real time.
Full derivatives screener for 522+ symbols with sortable columns: open interest (absolute + 1h/24h change), funding rates across exchanges, long/short ratios, and top trader sentiment. Funding rate heatmap shows at a glance where leverage is building. OI rankings reveal which assets have the most speculative interest right now.
Every signal is tracked against actual Binance spot prices at 1h, 4h, 12h, and 24h intervals. No cherry-picking, no backtested-only claims. The accuracy you see on this page is computed from real signals issued in real time, evaluated against real market data. You can click any signal to see its full outcome breakdown at each time window.
40+ API endpoints covering signals, derivatives, whale data, on-chain metrics (TVL, stablecoins, DEX volumes, gas), options flow (BTC/ETH PCR, max pain, OI by strike), ETF flows (BTC/ETH daily fund-level breakdown), and market indices. WebSocket streaming for real-time updates. Python and JavaScript SDKs. Integrate into your trading bot, dashboard, or research pipeline in minutes.
DeFi TVL tracking, stablecoin supply and flow analysis, DEX volume monitoring, BTC hash rate and difficulty, Ethereum gas prices, mempool congestion, and DeFi yield comparisons — all from a single API. See where liquidity is moving across chains and protocols. Identify capital rotation before it shows up on price charts.
Before entering any position, check if smart money signals agree with your thesis. A high-confidence signal (0.65+) means 5 independent factors confirmed the direction. A medium signal (0.45-0.64) provides partial support. Use the confidence score to gauge conviction strength.
Connect the API to your trading bot via REST or WebSocket. Filter signals by confidence score threshold and symbol. Execute trades automatically when conditions are met. Each signal already passed 5 confirmation gates — set your own minimum confidence (e.g. 0.60+) for additional selectivity.
Monitor liquidation levels, funding rates, and OI changes across your portfolio. Low confidence signals indicate weak multi-factor confirmation. Track stablecoin flows and exchange reserves as early warning indicators for market-wide risk events.
Track what the biggest wallets on Hyperliquid are doing in real time. See position openings, size increases, and exits. When multiple whales accumulate the same asset simultaneously, it's often a leading indicator of significant price movement.
Build custom dashboards combining on-chain data, derivatives metrics, and signal performance. Analyze funding rate arbitrage opportunities across exchanges. Study correlations between whale behavior, OI changes, and subsequent price action over historical data.
Monitor BTC and ETH options data including put/call ratio, max pain, and OI by strike. Track daily ETF inflows/outflows per fund with cumulative tracking and streak indicators. Understand institutional positioning through regulated product flows.
Visualize liquidation clusters across exchanges. Identify price levels where large cascading liquidations could trigger. Use this to set better stop-losses, avoid crowded liquidation zones, and anticipate sudden volatility spikes.
Combine long/short ratios, funding rates, and social sentiment to gauge market mood. When extreme greed meets high funding rates and leveraged longs, it's often a reversal signal. Our multi-factor confidence system quantifies this across 5 independent data sources.
| Feature | Free | Trader | Pro |
|---|---|---|---|
| API Calls / Day | 10 | 200 | 2,000 |
| Symbols Tracked | BTC only | 18 core | 229+ all |
| Signal Confidence Levels | HIGH only | HIGH + MEDIUM | HIGH + MEDIUM |
| Whale Wallet Data | ✗ | Top 50 | 500+ wallets |
| Derivatives Screener | Top 10 | Full | Full + history |
| On-Chain Analytics | ✓ | ✓ | ✓ |
| Options Flow (BTC/ETH) | ✓ | ✓ | ✓ |
| ETF Flow Tracking | ✓ | ✓ | ✓ |
| WebSocket Streaming | ✗ | ✓ | ✓ |
| Historical Data Export | ✗ | ✗ | ✓ |
| Live Console Access | ✓ | ✓ | ✓ |
Every 5 minutes, the Smart Money engine scans 500+ symbols for whale consensus regime flips — moments when the short/long ratio shifts violently against the 7-day median. Each raw detection then passes through a 5-gate confirmation pipeline: (1) cross-asset check (BTC/ETH must not strongly contradict), (2) derivatives alignment (funding rate, global and top-trader LSR, OI momentum over 1h), (3) price zone filter (premium/discount within 24h range), (4) multi-snapshot consistency (4-6 whale snapshots moving monotonically), and (5) whale momentum acceleration. Signals below 0.45 confidence are rejected. Only confirmed signals are published with a direction, confidence score (0.0 to 1.0), and entry price.
Every signal is automatically tracked against Binance spot prices at four fixed intervals after issuance: 1 hour, 4 hours, 12 hours, and 24 hours. A LONG signal is marked correct if price is higher at the measured window; a SHORT signal is marked correct if price is lower. There is no manual curation — all outcomes are computed automatically and published as-is, including losses.
Win rate for each symbol and timeframe is computed as correct outcomes divided by total resolved signals for that window. A signal is unresolved until the measurement window has passed. The system caps recent signals at 2000 to keep the feed performant. Historical data beyond the displayed period is archived and available for download on Pro tier accounts.
1-hour accuracy is noisiest — even a correct directional signal can show a temporary opposite move within the first hour due to natural volatility. High 1h accuracy means the signal is capturing very immediate momentum shifts.
4-hour accuracy is the most actionable window for discretionary traders. It's long enough for a setup to play out with meaningful price displacement, but short enough that the original market regime — the conditions the signal was generated under — hasn't fundamentally changed. If you use signals for trade entries, prioritize symbols with high 4h win rates.
12h and 24h accuracy reflects the signal's ability to predict broader trend continuation. These windows are most relevant for swing traders and for evaluating whether the underlying thesis (derivatives positioning, whale accumulation) has lasting predictive value.
A win rate alone is not sufficient to evaluate a signal. A system that is right 60% of the time but loses twice as much on losers as it gains on winners has negative expected value. Use the accuracy percentage alongside the average return figures to estimate the quality of each signal category.
HIGH confidence signals (0.65+) are issued less frequently because they require all 5 confirmation gates to score strongly: cross-asset agreement, derivatives alignment, favorable price zone, consistent whale snapshots, and momentum acceleration. MEDIUM signals (0.45-0.64) passed the minimum threshold but with weaker multi-factor support. You should generally expect HIGH signals to carry higher win rates.
The per-symbol accuracy chart lets you spot which assets the system models well. Assets with consistently high accuracy across multiple timeframes are strong candidates for systematic trading. Assets with low accuracy despite sufficient sample size may have microstructure characteristics that resist the current signal methodology.
All accuracy statistics shown here reflect real signals generated and tracked in real time. However, past signal performance does not guarantee future accuracy. Market regimes change — a signal methodology that works well in trending conditions may underperform in ranging markets. Always evaluate recent performance (last 7d or 30d) alongside all-time statistics.
Accuracy statistics are only meaningful with sufficient sample size. Symbols with fewer than 20 resolved signals in the selected period should be treated with caution — small sample sizes produce large statistical variance in win rate. Focus on symbols with 50+ signals per window for reliable accuracy estimates. The system continues logging signals as long as derivatives data is available, so sample sizes grow over time.
Signal accuracy is measured against Binance spot prices and does not account for slippage, trading fees, or the difficulty of executing at the exact entry price shown. Actual realized returns from trading these signals will differ from theoretical accuracy-based estimates. A signal being "correct" means price moved in the right direction, not that a specific trade would have been profitable after costs.
Disclaimer: Signal performance data is published for transparency and informational purposes only. It does not constitute financial advice or a solicitation to trade. Past accuracy rates are not indicative of future results. Crypto markets are highly volatile and carry substantial risk of loss. Always apply your own risk management rules, use stop-losses, and trade only with capital you can afford to lose entirely.
Free tier available — no credit card required.