14 Proprietary Engines. AI Agents.
Institutional-Grade Intelligence.
500+ coin, 14 analiz motoru, 13 yapay zeka ajanı — hepsi aynı anda çalışır. Her işlem kararı 17 veri kaynağından doğrulanır, 0.3 saniyede borsaya iletilir.
Multiplicative Gate Scoring
Instead of additive scoring, AlgoVesta uses a multiplicative gate system. CVD, regime, volume, and institutional pressure gates are multiplied to produce the final score. If any gate falls below 0.3, the signal is automatically rejected — no trades on conflicting signals.
Gate Multipliers (final = base × gate1 × gate2 × ...)
Min Gate: 0.3Multiplicative Gate Formula: final_score = base_score × cvd_gate × regime_gate × volume_gate × institutional_gate. If any gate drops below 0.3, the signal is automatically rejected. MLP Neural Network (28→64→32→1) predicts trade success probability, HMM Viterbi decodes regime transitions with O(T×N²).
14 Proprietary Analysis Engines
Each engine specializes in a different market dimension and produces independent signals. All outputs flow into the Neural Scoring Matrix to form the final decision. No single engine's false signal can become a trade without validation from the others.
CVD Trend Engine
Cumulative Volume Delta
Collects volume-weighted CVD data from 8 exchanges (Binance, Bybit, OKX, Bitget, dYdX, Hyperliquid, GMX, Vertex). Multi-window analysis (5m, 15m, 1h) detects confluence.
Momentum Engine
Velocity & Acceleration
Measures price velocity (%/min) and acceleration (dVelocity/dt). Detects trend exhaustion points to prevent late entries.
Whale Tracker
Institutional vs. Retail Flow
Classifies each trade by symbol-specific thresholds (BTC $200K, ETH $150K, SOL $100K). When institutional money buys while retail sells, a strong BUY signal is generated.
VPIN Toxicity
Probability of Informed Trading
Volume-Synchronized Probability of Informed Trading. NumPy-vectorized analysis over 50 volume buckets detects when institutional players make the market toxic. Vetoes when VPIN ≥ 0.75.
Funding Dynamics
Funding Rate Analysis
Evaluates funding rates in two tiers: +0.03% signals excessive long crowding (top risk), -0.03% signals excessive short crowding (bottom opportunity). Contrarian bonus for aligned signals.
Liquidation Gravity
Liquidation Gravity Map
Maps liquidation clusters via Coinglass data. Identifies where price is gravitationally pulled toward dense liquidation zones. Detects squeeze setups before they trigger.
Long/Short Ratio
Long/Short Ratio Analysis
Tracks long/short ratio from Coinglass to detect market positioning extremes. Extreme ratios indicate crowded trades ripe for reversal.
Exchange Netflow
Exchange Inflow/Outflow
Monitors net flow of assets into and out of exchanges via Coinglass. Large inflows signal potential sell pressure; large outflows signal accumulation.
Hawkes Process
Event Clustering Detection
Models self-exciting event processes to detect trade clustering. When trades beget more trades in rapid succession, it signals momentum ignition or institutional activity.
OI Velocity
Open Interest Change Analysis
Analyzes the rate of open interest change combined with directional signals. OI increase + BUY signals new money inflow (+10% bonus). OI decrease + BUY carries squeeze risk (0.80x penalty).
Signal Decay
Age-Based Weight Reduction
Applies time-based decay to signal weights. Older signals lose influence exponentially, ensuring the system always prioritizes the freshest market data.
Order Book Imbalance
Order Book Wall Detection
Scans 20 levels of the order book. Orders exceeding 5x the average level are flagged as walls. BID walls block SHORT; ASK walls block LONG entries.
Forced Transaction Detector
Forced Transaction Detection
Combines 4 signal sources to detect forced transactions: liquidation cascades, margin calls, and stop-loss hunting patterns. Identifies mechanical price movements before they complete.
SL Cluster Map
Stop-Loss Cluster Mapping
Maps stop-loss cluster zones where large groups of traders have placed their stops. Identifies high-probability reversal zones and avoids placing stops in vulnerable clusters.
Pre-Scanner Anomaly Radar
An intelligent filtering system that selects real opportunities from a pool of 537 coins. Cuts through noise and focuses resources on the strongest targets.
537 Coin Pool
537 coins classified across 11 tiers. Hierarchical scanning from Tier 1 (BTC, ETH) to Tier 11 (low volume).
Anomaly Filter
Detects coins moving independently from BTC. Calculates anomaly score using volume velocity + price deviation.
Top 10 Targets
The 10 coins with the highest anomaly score are sent to the Neural Scoring Matrix. 5 coins are scanned in parallel simultaneously (ThreadPoolExecutor).
8-Exchange CVD Consensus
Weights: weight_i = volume_i / sum(all_volumes). 3-sigma anomaly detection disables manipulative exchanges.
13 Uzman. Tek Sistem.
Her işlem kararı bir yönetim kurulu toplantısı gibi çalışır. 13 farklı uzmanlık alanından ajan aynı soruyu masaya getirir. ≥8/13 onay sağlanmazsa işlem açılmaz — bu kural hiç bozulmadı.
Brain
Piyasanın yönünü belirler. Al/Sat/Bekle — son söz onda.
Hunter
500+ coin arasında hareketi yakalar.
Watchdog
Sistem sağlığını 7/24 izler.
Darwin
Ayarları evrimleştirir, iyileştirir.
Diplomat
Ajanları oylamaya sokar.
Oracle
Volatiliteyi tahmin eder.
Architect
Uzun vade trend yapısı.
Sentinel
Aşırılıkta fren yapar.
Medic
Servisleri tamir eder.
Doctor
Hataları teşhis eder.
Mirror
Sistem yansıma doğrulama.
Psychologist
Duygu dengesi gözcüsü.
Accountant
Portföy dengesi.
TraderTwin
İşlem ikizi simülasyonu.
Kripto izole değildir.
DXY güçlendiğinde BTC genellikle düşer. AlgoVesta bunu bilir ve pozisyon açmadan önce kontrol eder.
Güçlü dolar = risk-off sinyal
Güvenli liman talebi tespiti
Risk iştahı barometresi
Aşırı volatilite filtresi
Bu 4 makro gösterge eş zamanlı izlenir. Korelasyon eşiği aşılırsa işlem otomatik ertelenir.
Sadece bot değil. Tam platform.
Paper Trading
Gerçek para kullanmadan canlı piyasa verisiyle test edin. Strateji kanıtlanmadan canlıya geçmeyin.
Bot Health Score
Botunuzun sağlık durumu 0-100 arasında puanlanır. Düşerse sistem sizi uyarır.
Signal Transparency Score
Her sinyal için hangi motorların tetiklendiği, hangi ajanların onay verdiği gösterilir.
Performance Certificate
Aylık performansınız PDF olarak indirilebilir. Paylaşılabilir, doğrulanabilir.
Haftalık AI Email Raporu
Her hafta botunuzun performansı, en iyi/kötü işlemler ve öneriler e-posta ile gelir.
Whale Alert
Büyük cüzdan hareketleri WebSocket ile anlık izlenir. Kurumsal hareket öncesinde sinyal üretilir.
ATR-Based Risk Management + 8 Safety Layers
ATR-based volatility-adjusted position sizing: position = (risk × balance) / (ATR × multiplier). Automatic downsizing in high volatility, opportunity capture in low volatility. Plus 8 independent safety layers with veto authority to filter signals.
Margin Check
No trade is opened without sufficient margin. Minimum margin threshold is configurable (default: $400).
Loss Streak Protection
After 3 consecutive losses, a graduated cooldown system activates. 3 losses = 30min pause, 5 losses = 2 hour pause. Automatic cooldown period.
Correlation Filter
Only 1 position from each of 6 asset groups (Layer1, DeFi, Layer2, Meme, CEX Token, AI) at a time. No double risk in the same sector.
Spread Check
No trade is opened if the bid-ask spread is too high. Prevents slippage risk during low liquidity periods.
Volume Confirmation
Current volume must be at least 120% of the 20-candle average. No trades on low volume — signals must be backed by market participation.
5-Minute Volatility
If price movement in the last 5 minutes is excessive (sudden pump/dump), the trade is deferred. Prevents late entries.
Candle Direction Confirmation
LONG signals require the last candle to be green (close > open), SHORT requires red. Signal must align with current price action.
Macro News Calendar
All trades are automatically paused within ±30 minutes of FOMC, NFP, CPI, and PPI announcements. 2026 calendar is built-in.
Silver Vanguard Gate — 7 Additional Filters
Second defense line that runs after the main pipeline
Signals that don't pass at least 5 of 7 filters cannot become trades, even with Neural Scoring 72+.
Self-Healing AI + Continuous Retrain
The bot analyzes its own decisions, learns from mistakes, and auto-updates its parameters. 24-hour batch retrain cycle continuously trains BiLSTM and RL models. Shadow mode backtests new models before going live.
Self-Healing Cycle
Signal Rejected: Neural Score stayed below 72 or a safety layer vetoed.
30-Minute Wait: The rejected signal is recorded and price movement is checked after 30 minutes.
Simulation: "If this signal had become a trade, would it have been profitable?" is answered.
Calibration: If a missed opportunity is confirmed, the relevant layer weight is adjusted. Layers that incorrectly vetoed profitable signals are penalized.
Adaptive Trade Modes
Micro-Scalp
Tight SL and rapid exits during low ATR periods. Targets small but frequent gains.
Standard
SL = 1.2×ATR, TP = 2.8×ATR. R:R ≥2.0 required. The default and most frequently used mode.
Trend-Ride
Wide SL and trailing TP during strong trend periods. Designed to ride the trend to completion.
Smart Trading Hours (UTC+3)
Green Hours (Active)
10:00-13:00 and 15:00-01:00. High liquidity and volume periods. US and European market overlap hours.
Red Hours (Passive)
01:00-10:00 and 13:00-15:00. Low liquidity, high spread risk. The bot does not open new positions during these hours.
4-Layer ML Architecture
Pure-Python implementation — zero external dependencies. Each layer operates independently and is continuously trained via a 24-hour batch retrain cycle. New models are backtested in shadow mode before going live.
MLP Neural Network
Trade Outcome Predictor
3-layer MLP (28→64→32→1) predicts the success probability of each signal. Xavier init, ReLU activation, SGD momentum with backprop. Active after 1000+ trades, shadow mode before that.
Bayesian GP Optimizer
Dynamic Parameter Optimization
Gaussian Process + RBF kernel automatically discovers optimal parameters (ATR multiplier, SL/TP ratio, minimum score threshold) for each regime. Uses Expected Improvement acquisition function.
Mini LSTM + HMM Viterbi
Regime Transition Predictor
Mini LSTM (4→16→4) predicts regime transitions. HMM Viterbi decoding backtracks hidden Markov states via O(T×N²) dynamic programming. Gaussian emission model with online updates.
Batch Backtest & Retrain
Thread-safe Async Pipeline
Automatic 24-hour retrain cycle. Thread-safe daemon thread trains models without blocking the main pipeline. Shadow mode automatically promotes new models that outperform the previous version.
How Does a Trade Open?
The bot runs in a continuous loop. Each cycle completes the following 5 steps in sequence.
Pre-Scanner: 537 Coin Scan
BTC-decoupled anomaly detection selects the top 10 targets from a pool of 537 coins.
14 Engine Parallel Analysis
CVD, Momentum, Whale Tracker, VPIN, Funding, Liquidation Gravity, L/S Ratio, Netflow, Hawkes, OI, Signal Decay, Order Book, Forced TX, SL Cluster — each engine produces independent signals.
Multiplicative Gate Scoring + ML Prediction
final = base × cvd_gate × regime_gate × volume_gate. MLP win probability, HMM Viterbi regime confidence, and Bayesian GP parameters are validated.
Safety Layers + Silver Vanguard Gate
8 safety checks and 7 additional Silver Vanguard filters. A total of 15 independent veto points.
Trade Executes + ML Retrain Cycle
ATR-based position sizing, TWAP/VWAP entry. 24h batch retrain continuously updates MLP/LSTM/GP models.
Telegram Signal Automation
Beyond the AI Bot, a separate automation layer processes Telegram channel signals into live trades. Unlimited channels, AI signal parsing, execution across exchanges.
Telegram Automation DetailsStart Your 14-Day Free Trial
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