The software combines TradingView webhook processing, the built-in PyDev Signal Engine, Bybit API integration, real-time WebSocket market data, Telegram control and persistent position management.
The application is designed for Linux-based deployment. It can also be developed and tested locally on Windows or Linux, but continuous operation is recommended on a dedicated VPS.
The exact dependency list is provided with the software package. The application typically uses libraries for:
The bot does not require a graphical desktop environment. A standard Linux server with SSH access is sufficient.
The recommended server size depends on the number of active trading pairs, additional monitoring services, log retention and future database or analytics modules.
The application can run entirely in the background. A desktop environment, VNC connection or graphical interface is not required.
The standard installation process includes preparing the server, configuring the application and running a complete Testnet verification before Mainnet use.
The bot can be installed as a Linux system service. This allows it to start automatically when the VPS boots and restart after a process failure.
The product is delivered as self-hosted software for installation on the customer's own computer or Linux VPS.
Server installation, VPS configuration, firewall setup, webhook deployment, systemd service creation and Testnet verification may be offered as a separate service.
The exact license conditions depend on the selected product package and commercial agreement.
The Bybit Signal Trading Bot has evolved from a simple TradingView webhook executor into a complete self-hosted algorithmic cryptocurrency trading platform. The current system combines TradingView Webhooks, the built-in PyDev Signal Engine, automated Bybit Spot and Futures execution, advanced position management, persistent SQLite trade storage and professional Strategy Analytics available directly from Telegram.
Every completed trade can be stored with detailed financial and strategy metadata, including the trading pair, market type, position direction, entry price, exit price, quantity, leverage, profit or loss, trading fees, funding, ROI, holding time, closing reason, signal source, strategy name, candle interval and execution environment.
This makes it possible to evaluate not only whether the bot generated profit or loss, but also which pairs, strategies, signal sources and timeframes performed best over different reporting periods.
| Platform Module | Status | Description |
|---|
| TradingView Webhook Integration |
✅ Implemented |
Receives custom TradingView strategy alerts and converts them into Spot Buy or Futures Short actions. |
| PyDev Signal Engine |
✅ Implemented |
Generates trading signals directly from confirmed Bybit candles using configurable EMA, RSI and MACD conditions. |
| Bybit Spot Trading |
✅ Implemented |
Automatically opens Spot Buy positions and manages multi-stage exits. |
| Bybit Futures Short Trading |
✅ Implemented |
Automatically opens USDT perpetual Futures Short positions with leverage and reduce-only closing. |
| Reverse Signal Workflow |
✅ Implemented |
Closes the current position when an opposite signal is received and then attempts to open a new position in the opposite direction. |
| TP1 and TP2 |
✅ Implemented |
Supports two configurable Take Profit levels with partial position closing. |
| Break Even Protection |
✅ Implemented |
Can move Stop Loss protection to the original entry price after TP1. |
| Trailing Stop |
✅ Implemented |
Tracks new highs for Spot Buy positions and new lows for Futures Short positions. |
| Stop Loss |
✅ Implemented |
Automatically closes positions when the configured loss threshold is reached. |
| Dynamic WebSocket Subscriptions |
✅ Implemented |
Subscribes only to symbols with active positions and removes subscriptions after positions are closed. |
| Position Recovery |
✅ Implemented |
Restores locally stored open positions and required WebSocket subscriptions after application restart. |
| SQLite Trade Database |
✅ Implemented |
Stores completed trades in a structured local analytics database. |
| JSON Trade History |
✅ Implemented |
Keeps a separate JSON trade-history record for compatibility and backup. |
| Bybit Closed PnL Integration |
✅ Implemented |
Retrieves real Futures entry price, exit price, Closed PnL, opening fee, closing fee and leverage from Bybit. |
| Bybit Spot Execution Reports |
✅ Implemented |
Builds Spot trading reports from Bybit execution history and actual Spot fees. |
| Funding Analytics |
✅ Implemented |
Retrieves and stores Futures funding values where available. |
| Telegram Control Panel |
✅ Implemented |
Controls pair settings, Signal Engine configuration, positions, analytics and emergency closing. |
| Dry Run Mode |
✅ Implemented |
Simulates order execution without sending real exchange orders. |
| Bybit Testnet |
✅ Implemented |
Tests the complete order, position, analytics and Telegram workflow without real funds. |
| Bybit Mainnet |
✅ Implemented |
Supports real Spot and Futures execution after configuration and testing. |
| Independent Market Data Environment |
✅ Implemented |
Allows market-data WebSockets to use Mainnet or Testnet independently from order execution. |
Strategy Analytics Capabilities
The integrated Strategy Analytics module transforms the bot from a basic execution tool into a system for measuring, comparing and improving trading performance. Completed positions are analyzed through SQLite and displayed through a dedicated Telegram analytics interface.
The analytics system uses Net Profit as the primary performance metric and can separately track Gross Profit, trading fees, funding, ROI, trade duration and closing reason. This allows traders to understand whether a strategy is profitable before and after real exchange costs.
| Analytics Feature | Status | What It Shows |
|---|
| Daily Trading Report |
✅ Implemented |
Total trades, wins, losses, break-even trades, Win Rate, Gross Profit, fees, funding, Net Profit, ROI and holding time for the current day. |
| Weekly Trading Report |
✅ Implemented |
Complete weekly trading-performance summary. |
| Monthly Trading Report |
✅ Implemented |
Monthly strategy results with profitability and risk statistics. |
| All-Time Trading Report |
✅ Implemented |
Lifetime analytics across all completed trades stored in SQLite. |
| Winning Trades |
✅ Implemented |
Number of completed positions with positive Net Profit. |
| Losing Trades |
✅ Implemented |
Number of completed positions with negative Net Profit. |
| Break-Even Trades |
✅ Implemented |
Positions that closed with approximately zero Net Profit. |
| Win Rate |
✅ Implemented |
Percentage of profitable completed trades. |
| Loss Rate |
✅ Implemented |
Percentage of losing completed trades. |
| Gross Profit |
✅ Implemented |
Trading result before exchange fees where the required source data is available. |
| Trading Fees |
✅ Implemented |
Total opening fees, closing fees, average fee and maximum fee. |
| Funding |
✅ Implemented |
Total received funding, paid funding and average funding value. |
| Net Profit |
✅ Implemented |
Final realized result after trading fees and funding. |
| Average Trade |
✅ Implemented |
Average Net Profit across all completed positions. |
| Average Win |
✅ Implemented |
Average result of profitable trades. |
| Average Loss |
✅ Implemented |
Average result of losing trades. |
| Profit Factor |
✅ Implemented |
Gross winning profit divided by the absolute value of gross losses. |
| Expectancy |
✅ Implemented |
Average expected Net Profit per trade based on Win Rate, Average Win and Average Loss. |
| ROI Analytics |
✅ Implemented |
Average ROI, total ROI, best ROI and worst ROI. |
| Average Holding Time |
✅ Implemented |
Average duration between position opening and closing. |
| Best Trades |
✅ Implemented |
Ranks completed trades from the highest Net Profit. |
| Worst Trades |
✅ Implemented |
Ranks completed trades from the largest loss. |
| Profit by Pair |
✅ Implemented |
Shows trades, Win Rate, fees, funding and Net Profit for every trading pair. |
| Profit by Month |
✅ Implemented |
Groups completed trades by month and compares monthly performance. |
| Trade History |
✅ Implemented |
Displays recent completed trades directly from SQLite. |
| Max Drawdown |
✅ Implemented |
Calculates the largest decline from a previous cumulative-profit peak. |
| Telegram Strategy Analytics Menu |
✅ Implemented |
Provides direct access to Daily, Weekly, Monthly, All-Time and Advanced Analytics reports. |
Advanced Strategy Analysis
The platform is being extended to store additional metadata for every new trade. This includes the strategy name, signal source, engine type and candle interval. These fields make it possible to compare not only trading pairs, but also the logic and market timeframe that generated each position.
| Advanced Analytics Module | Status | Purpose |
|---|
| Profit by Timeframe |
🚧 In Development |
Compares Net Profit, Win Rate, ROI and Profit Factor across 1m, 3m, 5m, 15m, 30m, 1H, 4H and 1D intervals. |
| Best Timeframe |
🚧 In Development |
Identifies which candle interval produced the strongest historical result. |
| Worst Timeframe |
🚧 In Development |
Identifies intervals that generated excessive losses or poor expectancy. |
| Profit by Strategy |
🚧 In Development |
Compares performance between different TradingView and built-in strategies. |
| Profit by Signal Source |
🚧 In Development |
Compares TradingView Webhooks, the PyDev Signal Engine and future signal sources. |
| Profit by Engine |
🚧 In Development |
Compares external TradingView execution with internally generated PyDev signals. |
| Pair × Timeframe Analytics |
🚧 In Development |
Shows which timeframe is most profitable for each individual cryptocurrency pair. |
| ROI by Timeframe |
🚧 In Development |
Compares average return on margin across different candle intervals. |
| Win Rate by Timeframe |
🚧 In Development |
Shows how signal accuracy changes between short and long intervals. |
| Expectancy by Timeframe |
🚧 In Development |
Measures the expected result per trade for every interval. |
| Profit by Trading Hour |
🔜 Planned |
Groups trades by UTC trading session to identify strong and weak market hours. |
| Profit by Weekday |
🔜 Planned |
Compares performance from Monday through Sunday. |
| Winning Streak |
🔜 Planned |
Calculates the longest sequence of profitable trades. |
| Losing Streak |
🔜 Planned |
Calculates the longest sequence of losing trades. |
| Strategy Recommendations |
🔜 Planned |
Uses collected statistics to highlight weak timeframes, pairs and signal sources. |
Telegram Strategy Analytics
Strategy Analytics is available directly through the Telegram control panel. The user does not need to connect an external database client or open a separate web application to review core trading statistics.
| Telegram Report | Included Information |
|---|
| Daily Report |
Trades, wins, losses, Win Rate, Gross Profit, fees, funding, Net Profit, Profit Factor, Expectancy, ROI and holding time. |
| Weekly Report |
Seven-day strategy-performance summary. |
| Monthly Report |
Monthly trading results and long-term performance comparison. |
| All-Time Report |
Complete historical statistics stored in the local SQLite database. |
| Best Trades |
Most profitable completed positions. |
| Worst Trades |
Largest losing completed positions. |
| Profit by Pair |
Performance grouped by BTCUSDT, ETHUSDT, SOLUSDT and other configured pairs. |
| Profit by Month |
Historical Net Profit grouped by calendar month. |
| Fees |
Opening fees, closing fees, total commissions, average fee and highest fee. |
| Funding |
Total funding, received funding, paid funding and average funding. |
| ROI |
Average ROI, total ROI, best ROI and worst ROI. |
| Win/Loss |
Winning trades, losing trades, break-even trades and Win Rate. |
| Drawdown |
Final equity, peak equity, maximum drawdown and drawdown period. |
| Trade History |
Recent completed trades with pair, market, result and closing time. |
The platform supports two independent signal sources. TradingView can send alerts from custom Pine Script strategies, private indicators or supported public strategies. The PyDev Signal Engine generates signals internally from Bybit market data without requiring TradingView.
Each completed trade can be tagged with its signal engine, source, strategy and interval. This makes future reports able to compare TradingView Webhooks with the built-in EMA, RSI and MACD strategy using the same performance metrics.
| Signal Metadata | Example Value | Analytics Purpose |
|---|
| Engine |
tradingview / pydev |
Compares external webhook signals with internal Python-generated signals. |
| Signal Source |
webhook / ema_rsi_macd |
Shows which signal logic generated the position. |
| Strategy |
RSI_EMA_MACD / custom TradingView strategy |
Measures performance for each individual strategy. |
| Interval |
1 / 5 / 15 / 60 / 240 / D |
Enables Profit by Timeframe and Pair × Timeframe analytics. |
| Execution Mode |
dry_run / testnet / mainnet |
Separates simulated, Testnet and real Mainnet statistics. |
| Financial Source |
bybit_closed_pnl / bybit_spot_executions / local fallback |
Shows where the final financial numbers were obtained. |
SQLite Trading Analytics Database
Completed trades are stored in a local SQLite database. SQLite provides structured queries, reliable filtering and fast report generation without requiring a separate database server.
The database can store both financial and strategy metadata, making it suitable for historical analysis, Telegram reports and future web-dashboard development.
| Stored Trade Data | Description |
|---|
| Trade Identity |
Unique trade ID, position ID, opening order ID and closing order IDs. |
| Market Information |
Symbol, Spot or Futures market and position direction. |
| Strategy Information |
Engine, signal source, strategy name and candle interval. |
| Execution Information |
Dry Run, Testnet or Mainnet mode. |
| Price Information |
Entry price, exit price, quantity and remaining quantity. |
| Financial Information |
Gross Profit, Closed PnL, opening fee, closing fee, funding, Net Profit and ROI. |
| Position Timing |
Opening time, closing time and total holding duration. |
| Closing Information |
TP1, TP2, Stop Loss, Break Even, Trailing Stop, Reverse Signal or Emergency Close. |
| Raw Trade Data |
Original normalized trade record for debugging and future migrations. |
Analytics Reset and Clean Mainnet Start
Development, Dry Run and Testnet trading can create experimental trades that should not be mixed with future Mainnet performance. The platform includes a safe trading-data reset workflow for starting analytics from a clean state.
Before resetting, the system can create a timestamped backup of the SQLite database, JSON trade history and local position storage. The reset process clears historical analytics while preserving the database schema and indexes.
| Reset Protection | Description |
|---|
| Confirmation Warning |
Telegram displays a clear warning before any trading data is removed. |
| Backup Creation |
Creates a timestamped local backup before clearing analytics. |
| Open Position Check |
Reset can be blocked while local or Bybit Futures positions remain open. |
| SQLite Reset |
Clears completed trades while preserving tables and indexes. |
| JSON Reset |
Clears trade-history and local-position JSON files. |
| Clean Mainnet Statistics |
Allows the user to begin collecting real production analytics from zero. |
Market Data and Order Execution Environments
Market data and order execution can be configured independently. This makes it possible to test a strategy using real Mainnet candles while placing orders on Bybit Testnet, or to perform a complete Testnet workflow using both Testnet market data and Testnet order execution.
| Environment | Market Data | Order Execution | Recommended Use |
|---|
| Dry Run |
Mainnet or Testnet |
Local simulation |
Initial development and workflow verification. |
| Mixed Test Mode |
Mainnet |
Testnet |
Testing order execution using live market conditions. |
| Full Testnet |
Testnet |
Testnet |
End-to-end testing inside the Bybit Testnet environment. |
| Mainnet |
Mainnet |
Mainnet |
Real trading after all settings and risk parameters have been verified. |
The Telegram interface displays the active market-data environment and order-execution environment separately, reducing the risk of confusing Testnet and Mainnet operation.
Future Strategy Lab and Web Dashboard
The current Telegram analytics system provides the foundation for a future browser-based Strategy Lab. The planned web dashboard can visualize the same SQLite data through interactive charts and filters.
| Future Platform Feature | Status | Purpose |
|---|
| Web Analytics Dashboard |
🔜 Planned |
Browser interface for performance monitoring and report filtering. |
| Equity Curve Chart |
🔜 Planned |
Visual cumulative Net Profit over time. |
| Drawdown Chart |
🔜 Planned |
Visual risk and equity-decline analysis. |
| Profit by Pair Chart |
🔜 Planned |
Compares profitability between cryptocurrency pairs. |
| Profit by Timeframe Chart |
🔜 Planned |
Highlights the strongest and weakest candle intervals. |
| Strategy Comparison |
🔜 Planned |
Compares TradingView and PyDev strategies using the same metrics. |
| Trading Session Analysis |
🔜 Planned |
Identifies profitable and unprofitable UTC trading sessions. |
| Portfolio Risk Management |
🔜 Planned |
Limits combined exposure across multiple open positions. |
| Dynamic Position Sizing |
🔜 Planned |
Calculates order quantity from balance, Stop Loss distance and risk percentage. |
| Historical Backtesting |
🔜 Planned |
Tests built-in strategies against historical Bybit candles. |
| Multi-Timeframe Confirmation |
🔜 Planned |
Confirms lower-timeframe signals with higher-timeframe market structure. |
| Additional Signal Engines |
🔜 Planned |
SuperTrend, EMA Crossover, Bollinger Bands, ATR and volume-based strategies. |
| Multi-Exchange Architecture |
🔜 Planned |
Extends the platform to additional cryptocurrency exchanges. |
| PostgreSQL Support |
🔜 Planned |
Scalable database backend for larger and multi-user deployments. |
Frequently Asked Questions
Below are answers to common questions about the Bybit Signal Trading Bot, TradingView webhook automation, the built-in PyDev Signal Engine, Strategy Analytics, Telegram management and automated Spot and Futures trading.
What is the Bybit Signal Trading Bot?
The Bybit Signal Trading Bot is a self-hosted Python algorithmic trading platform that receives or generates cryptocurrency signals, executes Spot Buy and Futures Short orders on Bybit, manages open positions and records completed trades for Strategy Analytics.
Does the bot require TradingView?
No. TradingView is optional. The bot can receive TradingView webhook alerts or use the built-in PyDev Signal Engine to generate signals directly from Bybit candles.
Can I use my own TradingView strategy?
Yes. The webhook endpoint can receive supported JSON alerts from custom Pine Script strategies, private indicators and other TradingView logic.
What is the PyDev Signal Engine?
The PyDev Signal Engine is an integrated Python strategy module that loads historical Bybit candles, warms up technical indicators and evaluates every confirmed closed candle using configurable EMA, RSI and MACD settings.
Which indicator settings can be changed?
The Telegram interface can configure EMA Fast, EMA Slow, RSI Period, RSI Buy level, RSI Sell level, MACD Fast, MACD Slow, MACD Signal and candle interval.
Which candle intervals are supported?
The Signal Engine can use supported Bybit intervals such as 1m, 3m, 5m, 15m, 30m, 1H, 4H and 1D.
Does the Signal Engine use unfinished candles?
No. Trading logic is evaluated only after a candle is confirmed as closed. This prevents signals from being generated from incomplete candle data.
Can the bot use Mainnet data with Testnet orders?
Yes. Market data and order execution are separate settings. The user can combine Mainnet market data with Testnet execution or run a complete Testnet environment.
Can the bot trade Spot and Futures?
Yes. The current workflow supports Bybit Spot Buy positions and USDT perpetual Futures Short positions.
Can each pair use different risk settings?
Yes. Every configured pair can use its own Spot amount, Futures quantity, leverage, TP1, TP2, Stop Loss, Break Even, Trailing Stop and execution permissions.
What happens after an opposite signal?
The bot treats the event as a Reverse Signal. It closes the current position, finalizes the trade report and attempts to open a new position in the opposite supported market direction.
How are completed Futures trades reported?
The platform requests the matching Bybit Closed PnL record using the closing order ID. It can retry while the exchange is still generating the final record and use a local fallback only when required.
How are Spot reports created?
Spot reports use Bybit execution history to calculate filled quantity, average prices and actual Spot trading fees.
What does Financial Source mean?
Financial Source shows whether the report was generated from Bybit Closed PnL, Bybit Spot executions or a local fallback calculation.
Does the bot include Strategy Analytics?
Yes. The Telegram Strategy Analytics menu provides Daily, Weekly, Monthly, All-Time and advanced trading reports.
What statistics are available?
Available statistics include trades, wins, losses, break-even trades, Win Rate, Loss Rate, Gross Profit, fees, funding, Net Profit, Average Trade, Average Win, Average Loss, Profit Factor, Expectancy, ROI, holding time, best trades, worst trades, Profit by Pair, Profit by Month, Drawdown and Trade History.
Can analytics compare different timeframes?
Timeframe metadata is being added to new trades so the platform can compare Net Profit, Win Rate, ROI and Expectancy across different candle intervals.
Can analytics compare TradingView with the PyDev Signal Engine?
Yes. New trades can store engine, signal source and strategy metadata, providing the foundation for TradingView-versus-PyDev performance comparison.
Can test statistics be cleared before Mainnet?
Yes. The trading-data reset workflow can back up and clear the SQLite database, JSON trade history and local position storage before starting clean Mainnet analytics.
Does the bot restore open positions after restart?
Yes. The bot loads locally stored open positions, restores required price subscriptions and resumes TP, Stop Loss, Break Even and Trailing Stop monitoring.
Can the bot run automatically after a VPS reboot?
Yes. It can be installed as a Linux systemd service for automatic startup and process recovery.
Does the bot require a graphical VPS?
No. It can run through SSH and systemd on Ubuntu Server without a graphical desktop.
What VPS configuration is recommended?
A small configuration may run with 1 vCPU and 2 GB RAM, but 2 vCPUs, 4 GB RAM and NVMe storage are recommended for more stable continuous operation.
Is Dry Run supported?
Yes. Dry Run creates local simulated positions without sending real order requests.
Is Bybit Testnet supported?
Yes. Testnet can be used to verify API connectivity, orders, position management, WebSockets, Telegram reports and analytics without using real funds.
Can the bot trade on Mainnet?
Yes. Mainnet execution is supported after API keys, permissions, order quantities, leverage and risk settings have been tested.
Are withdrawal permissions required?
No. API keys should only have the permissions required for Spot and Futures trading. Withdrawal permissions should remain disabled.
Does the bot guarantee profit?
No. The platform automates the configured rules but cannot guarantee profit or remove market, liquidity, slippage, execution, exchange, leverage or network risks.
Can the platform be customized?
Yes. Custom strategies, additional exchanges, Futures Long execution, portfolio limits, dashboards, backtesting and other modules can be developed separately.
Is the software self-hosted?
Yes. The software runs on the customer’s own VPS or computer, and exchange credentials remain inside that environment.
Is there a mandatory monthly fee?
The standard product can be supplied without a mandatory monthly software subscription. VPS, TradingView and third-party service costs are separate.
Who Is This Algorithmic Trading Platform For?
| User Type | How the Platform Can Be Used |
|---|
| TradingView Traders |
Automate custom Pine Script and indicator alerts through webhooks. |
| Algorithmic Traders |
Run a self-hosted Python execution, position-management and analytics platform. |
| Strategy Researchers |
Compare profitability, Win Rate, ROI, timeframes, pairs and signal sources. |
| Trend-Following Traders |
Use configurable EMA, RSI and MACD confirmation. |
| Spot Traders |
Automate Spot Buy entries and multi-stage exits. |
| Futures Traders |
Automate Futures Short entries, leverage and reduce-only closing. |
| VPS Users |
Run trading automation continuously without keeping a local computer online. |
| Python Developers |
Extend the modular architecture with custom signals, analytics and integrations. |
| Crypto Software Businesses |
Use the platform as a foundation for customized algorithmic trading products. |
Bybit Signal Trading Bot Use Cases
| Use Case | Workflow |
|---|
| TradingView Strategy Automation |
TradingView alert → Webhook → Trade Engine → Spot Buy or Futures Short → Position management → Strategy Analytics. |
| Independent Python Trading |
Bybit candles → EMA, RSI and MACD → PyDev signal → Automated order execution. |
| Full Testnet Testing |
Bybit Testnet candles → PyDev Signal Engine → Testnet orders → Testnet Closed PnL reports. |
| Mainnet Data with Testnet Execution |
Live Mainnet candles → Signal Engine → Bybit Testnet orders. |
| Strategy Comparison |
Completed trades → SQLite → Profit by Pair, strategy, source and timeframe comparison. |
| Remote Trading Management |
Linux VPS → Telegram control panel → Positions, analytics and emergency closing. |
| Multi-Pair Automation |
Multiple enabled pairs → Independent signals → Separate position tracking. |
| Restart-Resistant Trading |
Saved positions → VPS restart → Automatic subscription and monitoring recovery. |
| Clean Mainnet Launch |
Test data backup → Analytics reset → Fresh Mainnet performance tracking. |
Why Choose Self-Hosted Strategy Analytics?
| Cloud Subscription Bot | Self-Hosted Bybit Trading Platform |
|---|
| Runs on a third-party service |
Runs on your own Linux VPS or computer |
| API keys are stored by the service provider |
API keys remain inside your server environment |
| Recurring subscription may be required |
No mandatory monthly software subscription |
| Limited customization |
Modular Python architecture |
| Fixed analytics provided by the platform |
Custom SQLite reports and Strategy Analytics |
| Limited access to raw trade data |
Local JSON and SQLite trade history |
| Service can change pricing or features |
You retain your installed software package |
| Limited control over updates |
You decide when to update or customize the platform |
| External platform dependency |
Self-hosted operation with local data control |
Important Trading Risk Notice
The Bybit Signal Trading Bot is a software automation and analytics tool. It is not financial advice, investment advice or a guarantee of profit.
Cryptocurrency Spot and Futures trading can result in partial or complete loss of funds. Futures leverage can significantly increase both profits and losses.
Historical Strategy Analytics, Win Rate, ROI, Profit Factor and previous trading results do not guarantee future performance.
The customer is responsible for selecting the strategy, configuring order quantities, setting leverage, creating API keys, testing the software and deciding whether Mainnet trading is appropriate.
Always begin with Dry Run or Bybit Testnet. Use small quantities during initial Mainnet verification.
Deploy Your Own Bybit Algorithmic Trading and Strategy Analytics Platform
Connect supported TradingView strategies through webhooks or enable the built-in PyDev Signal Engine with configurable EMA, RSI and MACD indicators.
Automatically open Bybit Spot Buy and Futures Short positions, manage TP1, TP2, Stop Loss, Break Even and Trailing Stop, recover active trades after restart and analyze completed positions through SQLite and Telegram Strategy Analytics.
| Signal Sources |
TradingView Webhooks + PyDev Signal Engine |
| Markets |
Bybit Spot + USDT Perpetual Futures Short |
| Execution Modes |
Dry Run + Testnet + Mainnet |
| Market Data Modes |
Mainnet + Testnet |
| Position Management |
TP1 + TP2 + Stop Loss + Break Even + Trailing Stop |
| Analytics Storage |
SQLite + JSON Trade History |
| Strategy Analytics |
Daily + Weekly + Monthly + All-Time + Advanced Reports |
| Remote Control |
Telegram |
| Deployment |
Self-hosted Linux VPS |
| Position Recovery |
Supported |
| Monthly Software Subscription |
Not required |
Build, test, automate and analyze your trading workflow while keeping control over the server, exchange API keys, strategies and historical trade data.
Buy Bybit Signal Trading Bot Request Custom Development
