pátek 13. února 2026

AI-Enhanced Multi-Strategy Crypto Trading Bot V6.0

 README.md - AI-Enhanced Multi-Strategy Crypto Trading Bot V6.0

An advanced cryptocurrency trading bot featuring 6 technical strategies, AI/ML-driven predictions, and adaptive risk management. It analyzes the TOP 100 Binance pairs, synchronizes multi-timeframe signals, and dynamically allocates capital based on confidence tiers.

TABLE OF CONTENTS

Description

Features

Architecture

Strategies

Exit Management

AI/ML Components

Installation

Configuration

Execution

Monitoring

Risk Management

Limitations

FAQ

License

DESCRIPTION

This bot is a professional-grade trading system with the following characteristics:

6 Independent Strategies: Wyckoff, VSA, SMC, Ichimoku, Volume Profile, and Multi-TF.

3 Timeframes: 4h, 8h, and 12h (optimized for swing trading).

AI/ML Predictions: Market regime detection, price movement forecasting, and confidence calibration.

Tier-Based Position Sizing: High/Medium/Low confidence tiers (60%/30%/10% allocation).

Daily Rebalancing: Dynamic capital allocation based on historical performance.

4 Exit Strategies: Breakeven, Dynamic Take Profit, Trailing Stop, and Reverse Signal Exit.

Persistence: Automatic state saving and crash recovery protocols.

Philosophy: "Survive first, grow consistently later."

FEATURES

MARKET ANALYSIS

Tactical Analysis: Wyckoff, VSA, SMC, Ichimoku, Volume Profile, Multi-TF.

Timeframe Synergy: 4h (Entry), 8h (Trend), 12h (Regime).

Multi-Timeframe Alignment: Signal confluence across all TFs.

On-Chain Sentiment: Funding rates, open interest, and liquidation data.

AI Forecasting: Expected returns and confidence scoring per trade.

Regime Detection: Ranging / Uptrend / Downtrend / High Vol / Low Vol.

EXIT MANAGEMENT (PROFIT PROTECTION)

Stop Loss (SL): Immediate execution, fixed % (1-2% based on tier).

Take Profit (TP): Immediate execution, fixed % (2-4% based on tier).

Trailing Stop: Activated @ +1% profit, 1.5x ATR, trails price extremes.

Breakeven: Activated @ +1.5% profit, moves SL to entry price.

Dynamic TP: Activated @ +2% profit, moves TP by +1.5% for every +2% gain.

Reverse Signal: Activated @ >0.5% profit, closes position on opposite consensus.

Emergency Mode: Manual or automated, immediate closure of all positions with >2% profit.

RISK MANAGEMENT

Portfolio Heat: If >80%, new positions are blocked.

Side Saturation: If >20 positions on one side, same-direction trades are blocked.

Position Cap: Single position capped at <10% of tier allocation.

Tier Allocation: 5-70% range with daily performance-based rebalancing.

Correlation Check: Long/Short balance validation.

AI/ML COMPONENTS

Regime Classifier: RandomForest-based market state detection.

Price Predictor: GradientBoosting for short-term price movement forecasting.

Signal Calibrator: XGBoost to adjust signal strength (0.3x - 1.7x).

Confidence Calibrator: XGBoost for realistic probability estimation.

Strategy Weighting: Adaptive weighting based on historical win rates.

Coin Preference Scoring: Historical performance-based asset prioritization.

ARCHITECTURE

text

crypto_bot_ai/

├── AdvancedMultiStrategyBotAI.py   # CORE BOT LOGIC

├── requirements.txt                # Dependencies

├── signals_queue.json             # JSON outputs (for frontend/dashboard)

├── bot_state_ai.pkl              # Persistent state (balances, positions)

├── ai_models/                    # Trained ML models

│   ├── regime_classifier.pkl

│   ├── price_predictor.pkl

│   ├── signal_calibrator.pkl

│   └── confidence_calibrator.pkl

├── logs/                         # Detailed log files

│   └── trading_bot_ai_*.log

└── README.md                    # This file

Při použití kódu buďte obezřetní.


DATA FLOW

START: Load state, check for emergency closures.

SCAN (60min): Process 100 pairs, 3 TFs, and 6 strategies.

ANALYZE: AI Predictions, Regime Detection, Sentiment, Consensus.

ENTRY: Determine Tier, Calculate Size, Set SL/TP, Execute Order.

MONITOR (30s): Trailing Stop, Breakeven, Dynamic TP updates.

RE-SCAN (60min): Check for Reverse Signal exit conditions.

EXIT: SL/TP / Trailing / Breakeven / Reverse / Emergency.

PERSIST (30s): Save state and performance metadata.

STRATEGIES

1. WYCKOFF STRATEGY

Detects accumulation and distribution phases.

Spring: Support break followed by a rapid recovery.

Upthrust: Resistance break followed by a rapid rejection.

Pullback Entry: Entries following confirmed Spring/Upthrust phases.

2. VSA (VOLUME SPREAD ANALYSIS)

Analyzes the relationship between volume and price spread.

No Supply: Low volume, narrow spread, price drop = end of selling pressure.

No Demand: Low volume, narrow spread, price rise = end of buying pressure.

3. SMART MONEY CONCEPTS (SMC)

Identifies institutional order blocks and liquidity grabs.

Bullish OB: Strong bullish move supported by high volume.

Bearish OB: Strong bearish move supported by high volume.

4. ICHIMOKU CLOUD

A comprehensive trend-following system.

Kumo Breakout: Price breaking through the cloud.

TK Cross: Tenkan-sen / Kijun-sen crossovers (Golden/Death cross).

5. VOLUME PROFILE POC

Point of Control (POC) analysis.

Value Area Breakout: Breakouts supported by high volume.

POC Retest: Price bouncing off the Point of Control.

6. MULTI-TIMEFRAME ALIGNMENT

Trend alignment across multiple durations.

EMA Alignment: 9 > 21 > 50 sequence for bullish, inverse for bearish.

Trend Strength: ADX > 20 confirmation.

INSTALLATION

PREREQUISITES

Python 3.8+

Binance Account (Spot API)

Minimum 1GB RAM

10GB Disk space (for historical data & logs)

DEPENDENCIES

Create a requirements.txt with:

text

ccxt>=4.0.0

pandas>=1.5.0

numpy>=1.23.0

scikit-learn>=1.2.0

xgboost>=1.7.0

joblib>=1.2.0

scipy>=1.9.0

requests>=2.28.0

Při použití kódu buďte obezřetní.


SETUP PROCESS

Clone the Repository:

bash

git clone https://github.com/yourusername/crypto-bot-ai.git

cd crypto-bot-ai

Při použití kódu buďte obezřetní.


Create Virtual Environment:

bash

python -m venv venv

source venv/bin/activate  # Linux/Mac

# venv\Scripts\activate   # Windows

Při použití kódu buďte obezřetní.


Install Dependencies:

bash

pip install -r requirements.txt

Při použití kódu buďte obezřetní.


Install TA-Lib (Recommended):

Follow platform-specific instructions for TA-Lib.

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