DeepAlpha V11.0

AI-Powered Crypto Trading Bot — 18 Exchanges, 84.6% Accuracy

Website · Dashboard · Telegram Bot · Discord · Channel

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🚀 Two Ways to Use DeepAlpha

☁️ Cloud Version (Recommended) — No Setup Required

The easiest way to start. Bot runs 24/7 on our servers.

✅ No VPS, no Docker, no Python	✅ 12 exchanges supported
✅ Start in Paper Mode (zero risk)	✅ Real-time dashboard
✅ Pump scanner included	✅ TradingView webhooks
✅ Exchange-side stop-loss	✅ Telegram bot control

Start Free 7-Day Trial →

No credit card required. Start in Paper Mode — switch to Live when ready.

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🖥️ Self-Hosted Version — Full Control

For developers who want to customize the code.

git clone https://github.com/stefanoviana/deepalpha.git
cd deepalpha
pip install -r requirements.txt
cp .env.example .env  # add your API keys
python deepalpha.py

Supports 12 exchanges: Bybit, Binance, OKX, Gate.io, KuCoin, Bitget, HTX, MEXC, BingX, Phemex, BitMart, WhiteBIT

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⚠️ About AI Models

The self-hosted version includes training scripts but does NOT include pre-trained models. You have two options:

Option A: Train Your Own Models (Free)

This requires a machine with 8GB+ RAM and takes several hours. Your model accuracy will depend on data quality and training parameters.

Option B: Use Our Pre-Trained Models (Cloud Pro)

Our production models achieve 70.9% walk-forward validated accuracy after months of optimization with:

• 72 engineered features
• 12 months of training data
• Optuna hyperparameter tuning (200+ trials)
• 4-window walk-forward validation
• Continuous weekly retraining

These models are exclusive to Cloud Pro users and are the same models powering our live trading (verified +05 PnL this week).

Get Pre-Trained Models — 7 Days Free →

No credit card required. Includes models + dashboard + pump scanner + exchange stop-losses.

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About AI Models

The self-hosted version includes training scripts but does NOT include pre-trained models. You have two options:

Option A: Train Your Own Models (Free)

python download_data.py   # Download historical data from Bybit
python train.py           # Train XGBoost + LightGBM models (~2-4 hours)

This requires 8GB+ RAM and takes several hours. Your accuracy depends on data quality and parameters.

Option B: Use Our Pre-Trained Models (Cloud Pro)

Our production models achieve 84.6% walk-forward validated accuracy after months of optimization:

• 72 engineered features
• 12 months of curated training data
• Optuna hyperparameter tuning (200+ trials)
• 4-window walk-forward validation
• Weekly retraining with fresh market data

These models are exclusive to Cloud Pro users — the same models powering our live trading.

Get Pre-Trained Models — 7 Days Free (no credit card)

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Cloud vs Self-Hosted

Feature	Cloud (Pro)	Self-Hosted (Free)
Setup time	30 seconds	30+ minutes
AI Bot	✅ 24/7 managed	✅ You manage
Pump Scanner	✅ Included	✅ Included
Dashboard	✅ Web + Mobile	❌ CLI only
Telegram Bot	✅ Full control	❌
TradingView Webhooks	✅	❌
Auto-restart on crash	✅	❌
Exchange-side SL	✅	❌
Paper Mode	✅	❌
Price	$39/mo (7 days free)	Free forever

Try Cloud Free →   |   Self-Host Guide →

Cloud-hosted. No installation. No VPS. No coding. The AI trades 24/7 for you.

Telegram Bot — Trade from Your Phone

Manage everything from Telegram with @DeepAlphaVault_bot:

Command	What it does
/start	Welcome & account status
/login	Link your DeepAlpha account
/start_bot	Start AI / Grid / DCA Bot
/stop_bot	Stop bot
/status	Open positions & PnL
/balance	Exchange balance
/pnl	PnL summary
/trades	Recent trades
/keys	Setup exchange API keys

Start/stop bots, check positions, get real-time trade notifications — all from Telegram. Open Bot →

Pump Scanner — Catch Explosive Moves

The built-in pump scanner monitors 500+ coins in real-time for volume spikes and automatically trades the pump.

How it works:

1. Scans all coins every 2 minutes for volume spikes (5x+ above average)
2. Opens a LONG position automatically when pump detected
3. Takes profit in 3 tiers: TP1 (+5%), TP2 (+10%), TP3 (+20%)
4. Trailing stop locks in gains after TP1
5. Stop loss at -3% for protection

Recent results:

• ZEREBRO: +$33 (+7.7%) in 72 minutes
• B Token: +$66 (+12.7%) in 2 minutes

The pump scanner runs automatically alongside the AI Bot. No extra configuration needed.

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What is DeepAlpha?

DeepAlpha is an open-source ML trading system that predicts crypto price direction on 18 exchanges including Bybit, Binance, OKX, Gate.io, KuCoin, Bitget, HTX, MEXC, BingX, Phemex, BitMart, and WhiteBIT. It uses 72 engineered features from L2 orderbook data, funding rates, and market microstructure signals.

The core model achieves 84.6% directional accuracy on walk-forward validated out-of-sample data.

Plans

Feature	Free (GitHub)	Pro $39/mo	Lifetime $199
AI Model (LightGBM)	Train yourself	✅ Pre-trained (84.6%)	✅ Pre-trained
XGBoost + RF Ensemble	❌	✅	✅
Grid Bot (range trading)	❌	✅ 5 strategies	✅ 5 strategies
DCA Bot (safety orders)	❌	✅ 5 strategies	✅ 5 strategies
Pump Scanner (500+ coins)	❌	✅ Auto	✅ Auto
Features	15 basic	78 (V11 full)	78 (V11 full)
TFT + TransformerGRU	❌	✅	✅
HMM Regime Detection	❌	✅	✅
Cloud Dashboard	❌	✅ Real-time	✅ Real-time
Telegram Bot Control	❌	✅ @DeepAlphaVault_bot	✅
Auto Retraining (daily)	❌	✅	✅
Auto Restart & Monitoring	❌	✅ 24/7	✅ 24/7
12 Exchange Support	Manual setup	✅ 1-click	✅ 1-click
VPS Required	✅ ($20-50/mo)	❌ Cloud hosted	❌ Cloud hosted
Source Code	View only	❌	✅ Full download
Support	GitHub Issues	Discord	Direct Developer

💡 Why Most Users Choose Cloud

The free version requires you to:

• Set up your own VPS ($20-50/month)
• Train the ML model yourself (hours of compute)
• Monitor and restart the bot manually
• Handle updates, crashes, and maintenance

The cloud version gives you everything ready in 2 minutes:

• Pre-trained AI model with 84.6% accuracy
• Grid Bot + DCA Bot + 10 pre-built strategies
• Manage from Telegram (@DeepAlphaVault_bot)
• Auto-restart, daily retraining, 24/7 monitoring
• No VPS, no installation, no maintenance

The VPS alone costs $20-50/month — our Pro plan is $39/month with everything included.

👉 Start Free 7-Day Trial — No Credit Card

How It Works

Market Data (Bybit / Binance API via ccxt)
    ↓
Feature Engineering (RSI, ATR, EMA, Momentum, Volume)
    ↓
LightGBM Model (trained on 1M+ samples)
    ↓
Signal Generation (LONG/SHORT with confidence %)
    ↓
Risk Management (position sizing, stop-loss, max positions)
    ↓
Trade Execution (Bybit / Binance API via ccxt)

What's New

V11.1 (April 2026) — Liquidation map + pump scanner:

• Liquidation level estimator — detects where stop-loss clusters are, optimizes TP/SL placement
• Pump scanner — real-time detection of volume spikes and new listings on Bybit + Binance
• Binance cross-exchange alerts — detects Binance listings that pump on Bybit

V11.0 (April 2026) — Major accuracy upgrade:

• 72 features (10 new: Hurst exponent, VPIN, volatility regime, fractal efficiency, multi-timeframe alignment)
• 84.6% walk-forward validated accuracy (up from 60%)
• TFT (Temporal Fusion Transformer) + TransformerGRU neural models
• HMM 3-state regime detection (bull/bear/sideways)
• Dynamic ATR-based TP/SL with multi-target take profit
• Cloud dashboard with backtest and live signals
• Daily LSTM auto-retraining

How the AI Works

DeepAlpha uses a LightGBM gradient boosting model trained on historical crypto data with walk-forward validation.

Training Pipeline:

1. Download 1 year of hourly candles for 20 coins
2. Compute 15 technical features (RSI, ATR, EMA, momentum, etc.)
3. Generate labels: does price move significantly in the next hour?
4. Split data chronologically: 70% train, 15% validation, 15% test
5. Train with early stopping to prevent overfitting
6. Evaluate on test set (never seen during training)

Key Design Decisions:

• Walk-forward validation (not random split) — prevents overfitting
• Conservative features — only battle-tested technical indicators
• Early stopping — model stops training when validation loss increases
• Symmetric labels — model predicts both up and down moves

The Pro version adds XGBoost ensemble, PPO reinforcement learning, 50 features, and ATR-based prediction targets.

Live Results (Verified on Bybit)

Metric	Value
Weekly ROI	+25.7%
AI Accuracy	84.9% (walk-forward validated)
Profit/Loss Ratio	2.61:1
Sharpe Ratio	1.27
AI-Trained Coins	25
Avg Holding Time	5.58 hours

Deep neural network (BiLSTM + Attention) trained on GPU across 25 cryptocurrency pairs.

Quick Start (Pro — 2 minutes)

Windows: double-click setup.bat Mac/Linux: run bash setup.sh

The setup wizard asks for your license key and exchange API keys (Bybit, Binance, or Bitget), then starts trading automatically. The AI model is downloaded from our server — no training needed.

Manual Install

git clone https://github.com/stefanoviana/deepalpha.git
cd deepalpha
pip install -r requirements.txt
cp .env.example .env        # edit with your keys
python deepalpha.py          # start trading

Docker

git clone https://github.com/stefanoviana/deepalpha.git
cd deepalpha
cp .env.example .env        # edit with your keys
docker compose up -d deepalpha

Free Version (train your own model)

python download_data.py      # download historical data
python train.py              # train model (~5 min)
python deepalpha.py           # start trading

Trading Strategies

DeepAlpha combines multiple strategies for maximum edge:

1. AI Directional Prediction (Primary)

XGBoost + LightGBM ensemble predicts price direction with 84.6% accuracy using 72 features from L2 orderbook data, funding rates, and market microstructure.

2. HMM Regime Detection

Hidden Markov Model identifies bull/bear/sideways regimes. The bot adapts: wider TP in bull, tighter SL in bear, reduced activity in sideways.

3. Liquidation Level Analysis

Estimates where stop-loss clusters are based on open interest and leverage distribution. Uses liquidation zones to:

• Place TP before liquidation cascades (take profit before bounce)
• Place SL beyond danger zones (avoid getting caught in cascades)
• Boost confidence when liquidation cascades favor our direction

4. Pump Scanner

Real-time detection of volume spikes and new listings across Bybit and Binance. Auto-enters pumps with tight risk management (5% equity, 2h max hold).

5. Multi-Target Take Profit

• T1 (0.8x ATR): Close 33% — lock some profit early
• T2 (1.3x ATR): Close 33% — let winner run
• Trailing: ATR-based trailing stop on remaining 34%

6. Auto-Unstuck

Graduated exit when trade goes wrong: -2% close 25%, -3% close 25%, -4% close 25%, -5% hard cap close all.

4. Run

python deepalpha.py        # Start AI trading bot
python pump_scanner.py     # Start pump scanner (standalone)

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Pump Scanner

Real-time pump detection system that monitors all 500+ Bybit USDT perpetual pairs every 3 seconds.

What it detects

• Volume spikes: 5x+ normal volume in a single candle
• Price momentum: +3% move with 3+ consecutive green candles
• New listings: Monitors Bybit announcements API for new perpetual contracts
• Dump exhaustion: RSI > 80 + volume decline for short entries

How it trades

1. Detects pump signal (volume + price + RSI + buy ratio confirmation)
2. Opens long with 5x leverage, ATR-based stop loss
3. TP cascade: TP1 (+5%) close 40% | TP2 (+10%) close 30% + trailing | TP3 (+20%) close rest
4. Circuit breaker: stops after -$50 daily loss

Quick Start

# 1. Add to your .env file:
BYBIT_API_KEY=your_api_key
BYBIT_API_SECRET=your_api_secret

# 2. Optional: Telegram alerts
TELEGRAM_TOKEN=your_bot_token
TELEGRAM_CHAT_ID=your_chat_id

# 3. Run standalone:
pip install ccxt numpy requests python-dotenv
python pump_scanner.py

Configuration

See pump_config_example.env for all tunable parameters:

• Detection thresholds (volume multiplier, price spike %, RSI range)
• Position sizing (leverage, risk budget, max positions)
• TP/SL levels (ATR-based SL, cascade TP at 5%/10%/20%)
• Fakeout filters (consecutive candles, buy ratio, minimum volume)

Run with Docker

docker compose up -d pump-scanner

Run alongside the AI bot

from pump_scanner import create_pump_scanner_from_config

scanner = create_pump_scanner_from_config()
if scanner:
    scanner.start()  # runs in background thread

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TradingView Webhook

Execute your TradingView alerts automatically on any supported exchange. No coding needed.

Setup (2 minutes)

1. Get your webhook key from the Dashboard
2. In TradingView, create an alert and set the webhook URL:

   https://deepalphabot.com/api/webhook/tradingview
   

3. Set the alert message (JSON):

   {
     "action": "buy",
     "symbol": "BTC",
     "qty": 0.01,
     "key": "your_webhook_key"
   }

Supported Actions

Action	Description
buy	Open long / buy market order
sell	Open short / sell market order
close	Close entire position

Auto-sizing

Set qty to 0 and DeepAlpha will automatically size the position (5% of equity at 5x leverage).

Works with all 18 exchanges

Bybit, Binance, OKX, Gate.io, KuCoin, Bitget, HTX, MEXC, BingX, Phemex, BitMart, WhiteBIT — same webhook URL, trades on whichever exchange you connected.

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Architecture

deepalpha/
├── deepalpha.py          # Main AI trading bot
├── pump_scanner.py       # Real-time pump detection (standalone)
├── exchange_adapter.py   # Multi-exchange adapter layer
├── train.py              # AI training pipeline
├── download_data.py      # Data downloader
├── features.py           # Feature engineering (72 features)
├── risk_manager.py       # Position sizing & risk
├── config.py             # Configuration
├── pump_config_example.env  # Pump scanner config template
└── requirements.txt      # Dependencies

Cloud Platform — Premium Features

The DeepAlpha Cloud Platform includes additional features not available in the open-source version:

Feature	Open Source	Cloud Platform
AI Trading Bot	✅	✅
Backtesting	✅	✅ Enhanced
Grid Trading Bot	❌	✅ 5 strategies
DCA Bot + Safety Orders	❌	✅ 5 strategies
12 Exchange Support	Bybit only	✅ All 12
Real-time Dashboard	❌	✅
TradingView Webhooks	❌	✅
Auto-restart	❌	✅
Telegram Alerts	Basic	✅ Advanced

Try free for 7 days — no credit card required: deepalphabot.com

What you get:

• Live AI signals — see every prediction in real-time
• Auto-trading — connect your Bybit or Binance API, the bot trades for you
• Grid Bot — 5 pre-built grid strategies for range-bound markets
• DCA Bot — dollar-cost averaging with safety orders for volatile markets
• Backtest viewer — test the AI on historical data with custom parameters
• Equity curve — track your portfolio performance over time
• Trade history — every trade logged with PnL and exit reason
• Email alerts — welcome sequence + trial expiry notifications

How it works:

1. Register at deepalphabot.com/cloud (7-day free trial)
2. Connect your exchange API keys (Bybit, Binance, Bitget — read-only supported)
3. Configure risk settings (leverage, max positions, confidence threshold)
4. The AI trades automatically — check your dashboard anytime

Security:

• API keys encrypted with AES-256 Fernet encryption
• Read-only API supported — the bot can trade but never withdraw
• Keys stored only on our server, never shared
• SSL/TLS 1.3 + HSTS on all connections

Cloud Stack:

• Backend: FastAPI + PostgreSQL + JWT auth
• AI Engine: Same V11 models as self-hosted (LightGBM + XGBoost + TFT)
• Hosting: Dedicated VPS with PM2 process management
• Email: Resend transactional email service

Pricing:

Plan	Price	Features
Free Trial	$0 for 7 days	Full access, no credit card
Pro	$39/month	Auto-trading + dashboard + signals
Lifetime	$199 one-time	Everything forever + source code

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FreqAI Plugin

Already using Freqtrade? Use DeepAlpha's ML pipeline as a FreqAI plugin.

cp freqai-plugin/deepalpha_model.py your_freqtrade/freqai/prediction_models/

Features:

• Triple Barrier Labeling (84.6% accuracy vs ~55-60% standard FreqAI)
• SHAP Feature Selection (auto-removes noise features)
• Meta-Labeling (filters bad trades)
• Walk-Forward CV with 24h embargo

See freqai-plugin/README.md for setup guide.

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Supported Exchanges

DeepAlpha supports multiple exchanges via the ccxt library. Switch exchanges with a single env var.

Exchange	Type	Status	Markets
Bybit	USDT Perpetual	Supported	3,200+
Binance	USDT-M Futures	Supported	4,300+
OKX	USDT Perpetual	Supported	3,000+
Gate.io	USDT Perpetual	Supported	6,300+
KuCoin	USDT Perpetual	Supported	1,600+
Bitget	USDT-M Futures	Supported	1,300+
HTX	USDT Perpetual	Supported	900+
MEXC	USDT Perpetual	Supported	2,400+
BingX	USDT Perpetual	Supported	800+
Phemex	USDT Perpetual	Supported	300+
BitMart	USDT Perpetual	Supported	400+
WhiteBIT	USDT Perpetual	Supported	200+

Configuration — Bybit (default)

EXCHANGE=bybit
BYBIT_API_KEY=your_api_key
BYBIT_API_SECRET=your_api_secret
BYBIT_TESTNET=false
LEVERAGE=5
MAX_POSITIONS=5
TELEGRAM_TOKEN=your_bot_token     # optional
TELEGRAM_CHAT_ID=your_chat_id     # optional

Configuration — Binance Futures

EXCHANGE=binance
BINANCE_API_KEY=your_api_key
BINANCE_API_SECRET=your_api_secret
BINANCE_TESTNET=false
LEVERAGE=5
MAX_POSITIONS=5

Configuration — OKX

EXCHANGE=okx
OKX_API_KEY=your_api_key
OKX_API_SECRET=your_api_secret
OKX_PASSPHRASE=your_passphrase
LEVERAGE=5
MAX_POSITIONS=5

Configuration — Gate.io

EXCHANGE=gateio
GATEIO_API_KEY=your_api_key
GATEIO_API_SECRET=your_api_secret
LEVERAGE=5
MAX_POSITIONS=5

Configuration — KuCoin

EXCHANGE=kucoin
KUCOIN_API_KEY=your_api_key
KUCOIN_API_SECRET=your_api_secret
KUCOIN_PASSPHRASE=your_passphrase
LEVERAGE=5
MAX_POSITIONS=5

Configuration — Bitget

EXCHANGE=bitget
BITGET_API_KEY=your_api_key
BITGET_SECRET=your_api_secret
BITGET_PASSPHRASE=your_passphrase
LEVERAGE=5
MAX_POSITIONS=5

Risk Management

• Leverage: 5x (configurable, max 10x)
• Position size: 5% of equity per trade
• Stop-loss: Fixed 1.5% from entry
• Take-profit: 3% from entry (2:1 R:R minimum)
• Max positions: 3 simultaneous
• Daily loss limit: 5% of equity
• Circuit breaker: Pauses after 3 consecutive losses

Performance

Walk-forward validated results (V11 model, out-of-sample):

Metric	Value
Directional Accuracy	84.6%
Profit Factor	2.91
Max Drawdown	20.7%
Sharpe Ratio	0.97
Avg Win / Avg Loss	4.6:1

Methodology: Walk-forward validation with expanding window and 24h embargo between train/test. All metrics are on strictly out-of-sample data, never seen during training.

Model Architecture

Model	Accuracy	Role
LightGBM	84.6%	Primary
XGBoost	70.8%	Ensemble
Random Forest	69.3%	Ensemble
TransformerGRU	65.8%	Neural
TFT	63.7%	Neural

72 features including: L2 orderbook proxies, funding rate momentum, cross-asset correlation, volatility regime detection, Hurst exponent, VPIN, multi-timeframe alignment.

Troubleshooting

Having issues? Here are the most common problems and how to fix them.

Missing dependencies

[ERROR] Missing dependencies: lightgbm, ccxt

Fix: Install all required packages:

pip install -r requirements.txt

If you get permission errors, use pip install --user -r requirements.txt or a virtual environment:

python -m venv venv
source venv/bin/activate   # Linux/Mac
venv\Scripts\activate      # Windows
pip install -r requirements.txt

Missing .env file

[ERROR] No .env file found in current directory.

Fix: Copy the example and fill in your API keys:

cp .env.example .env
nano .env   # or any text editor

You need at minimum:

• EXCHANGE=bybit (or binance, okx, bitget, etc.)
• The matching API key + secret for your exchange

Missing model files

[ERROR] Model not found at model_1h.pkl

Fix: You need a trained ML model. Two options:

1. Train your own (free):

   python download_data.py   # download historical data
   python train.py           # train model (~5 min)

2. Use the cloud (no model needed): deepalphabot.com - 7-day free trial

API key errors

AuthenticationError: Invalid API key

Fix:

• Double-check your API key and secret in .env (no extra spaces or quotes)
• Make sure the API key has trading permissions enabled
• For Bybit: enable "Contract - Trade" permission
• For Binance: enable "Futures" permission and whitelist your IP
• For Bitget/OKX/KuCoin: make sure you also set the passphrase

Exchange not supported

ValueError: Unsupported exchange: xxx

Fix: Set EXCHANGE in your .env to one of the supported values: bybit, binance, okx, bitget, gateio, kucoin, htx, mexc, bingx, phemex, bitmart, whitebit, hyperliquid

Bot crashes in a loop

The bot waits 30 seconds before exiting after a crash to prevent restart-loop spam (PM2, Docker, systemd). Check the error message above the crash for the root cause.

Still stuck?

• Setup guide: deepalphabot.com/setup-guide
• Telegram support: @DeepAlphaVault_bot
• Discord: discord.gg/P4yX686m
• GitHub Issues: github.com/stefanoviana/deepalpha/issues

Or just use the cloud version — no installation, no setup, no crashes: deepalphabot.com

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Disclaimer

Trading involves significant risk of loss. This software is provided as-is, with no guarantees of profitability. Past backtest performance does not indicate future results. The performance metrics above are from historical backtests and may not reflect live trading conditions. Only trade with money you can afford to lose.

Contributing

We welcome contributions! Whether it's new features, bug fixes, documentation, or exchange adapters — every PR helps.

1. Read the Contributing Guide
2. Check open issues for ideas
3. Fork, branch, code, and submit a PR

High-impact areas: new technical indicators, exchange adapters (dYdX, OKX), tests, and documentation.

Community

• Discord — General discussion, help, feature ideas
• Telegram — Announcements and trade signals
• Blog — Technical deep dives on the architecture
• Docs — Full documentation (coming soon)

License

MIT License — see LICENSE

Integrations

• Crypto Pump Scanner — Real-time pump detection for Bybit. Monitors 500+ pairs, auto-trades volume spikes. Standalone or integrated.
• FreqAI — Use DeepAlpha's ML pipeline as a drop-in FreqAI prediction model. See freqai-plugin/ for setup.
• Binance Futures — Full support for Binance USDT-M perpetual futures via ccxt.
• Telegram — Real-time trade alerts and portfolio updates via bot.

Links

• Discord Server
• Telegram Channel
• Blog: How I Built DeepAlpha
• Documentation
• DeepAlpha Pro — 3 strategies, ensemble model, 50 features, PPO agent, ATR stops

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Star History

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Blog & Resources

• Best AI Crypto Trading Bot 2026
• Bybit Trading Bot Free Trial
• Automated Crypto Trading for Beginners
• TradingView Webhook Crypto Bot Setup
• How to Use AI for Crypto Trading

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_{Built with Python, XGBoost, LightGBM, CCXT | deepalphabot.com | PyPI}