SSA CTP: Crypto trading platform and strategy automation

Are you a business in the capital markets domain or an individual trader and have an idea for crypto trading? If so, our team of experts can formalize your strategy, validate it in a simulation environment, run it and monitor 24x7x365 all within SSA CTP.

SSA CTP delivers a set of tools and a framework for building AI-driven automated crypto trading solutions of any scale and complexity.

Live numbers

  • 36 Active Bots
  • 1.2K+ Orders 1h
  • 30K+ Orders 24h
  • 1.2M+ Orders 30 days
  • $2.2M+ Turnover 24h
  • $89.1M+ Turnover 30 days

Crypto trading strategy automation workflow

1

Client’s idea

We begin by understanding your trading goals, working closely with you to lay the foundation for collaboration with a skilled crypto trading bot developer

2

Trading strategy formalization

Our experts formalize your strategy, turning your idea into a clear and actionable plan, ready for execution with our premium crypto trading bot development services

3

Bot implementation and deployment

Once your strategy is defined, we build and deploy your crypto robot trading solution, ensuring it is set to operate smoothly across selected exchanges

4

Simulation, fine-tuning and enhancements

We utilize crypto simulation to test the strategy against historical data, fine-tuning the bot’s performance for real-world market conditions before going live

5

Live trading

Once testing is complete, it transitions to an AI bot for crypto trading, operating autonomously to execute trades with enhanced profitability and efficiency

6

Monitoring and support

We provide continuous monitoring and support, using tools to evaluate performance and ensure your bot operates efficiently during live trading

Don't have an idea yet but still would like to trade? Check out our ready-to-go trading bots!

visit ctbots.ai

Crypto trading automation platform

SSA CTP comprises Dashboard, Mobile app, Bot framework and Simulation environment integrated together

Dashboard

Dashboard

Mobile app

Mobile app

Bot framework

Bot framework

Simulation environment

Simulation environment

Dashboard

  • Bot management (start/stop, settings, clone, archive)
  • Bot monitoring
  • Notifications
  • Emergency stop
  • Account statistics
  • Bot statistics
  • Reports
Dashboard

Mobile app

  • Bot start/stop
  • Notifications
  • Emergency stop
  • P&L, ROI for account
  • P&L, ROI per bot
Mobile app

Bot framework

General features

  • Collection of candles, market trades and market depth every second
  • Handling outdated and delayed data from exchanges
  • Handling order size, max number of orders, order rate limits of exchanges
  • Support for price slippages
  • Squeeze protection limits
  • State machine design (Warm-up, Trading, Waiting, Error, Liquidation, etc.)
  • Automatic recovery after errors
  • Multi-stage bot operation completion

Strategies

  • Grid-based trading strategies
  • Cross trading strategies
  • SMA, EMA, Volatility, PSAR indicators
  • Target-profit and size scaling for orders
  • Postponed stop-losses based on volatility and thresholds
  • Support for trading pauses depending on volatility, stop-loss events and velocity of price changes
  • Handling touches, rising and falling crosses and thresholds of indicators

Orders

  • Market and limit orders
  • Take profit orders
  • Custom stop-loss orders
  • Detached orders
  • Support for splitting orders
  • TTL for orders

Simulation environment

Simulation or backtesting is aimed at validating the trading strategy using historical market data to assess its potential performance and effectiveness before deploying it in live trading.

The bot created for simulation (Simulation Bot) uses literally the same codebase as the bot for live trading (Live Bot) with the only difference in data sources, i.e. the database with historical data for simulation and real-time data coming from crypto exchanges for live bots.

This ensures that the AI trading bot crypto performs accurately and effectively across both environments.
Simulation environment Simulation environment
Historical data

Historical data

The historical data used for simulation includes price movements, trading volumes and market depth since January 1st, 2021 for the following pairs:

  • BTC/USDT
  • ETH/USDT
  • BTC/TUSD
  • XRP/USDT
  • BNB/USDT
  • LTC/USDT

Simulation

Simulation

The discrete-event simulation allows to investigate the strategy performance 20-30 times faster than the actual time range.

Fine-tuning & enhancements

Fine-tuning & enhancements

Fine-tuning of different strategy parameters allows to choose the best configuration resulting in the optimal key metrics such as profit and loss (P&L), return on investment (ROI), drawdowns, win rate, etc. The accuracy of results is in the range of 5%.

Technical notes

  • Spot and Isolated Margin trading
  • Any instruments supported
  • One CTP account supports multiple exchange accounts
  • One bot supports one exchange and one instrument only
  • One bot per exchange account
  • Every bot operates in the isolated container environment
  • New bot launch time – 1 month on average

Crypto exchanges

Crypto exchanges
Crypto exchanges
Crypto exchanges
Crypto exchanges
Crypto exchanges
Crypto exchanges
Crypto exchanges
Crypto exchanges

Business model

3000 USDT One-time per bot Setup fee
15% profit min 1000 USDT Maintenance fee, monthly per bot

Legal matters

Trading strategy concept

Trading strategy concept

is the intellectual property of the Client
Source codes

Source codes

are the intellectual property of SSA Group

FAQ

 

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