Monitors market data, runs real-time technical analysis, generates disciplined trading signals with entry, stop loss, and take profit levels, and explains decisions via Telegram.
The AI agent ingests market data from TwelveData and prepares real-time technical analysis across assets. It analyzes indicators such as RSI, MACD, Bollinger Bands, ATR, supports/resistances, and Fibonacci levels to form a complete view. It outputs disciplined trading signals with precise entry, stop loss, take profit, logs every decision with reasoning, and stores context for follow-up questions.
End-to-end signal generation and interaction in Telegram.
Ingests real-time market data from TwelveData for analysis across 5000+ assets.
Performs real-time technical analysis using 200 hourly candles and computes key indicators.
Generates entry price, stop loss, take profit, and BUY/SELL/NO_SIGNAL signals.
Applies risk management with 1.5x ATR stop losses and minimum 1:2 risk-reward ratios.
Answers questions about indicators, market conditions, and strategies with explanations.
Supports multiple AI models and enables fast model swapping during analysis.
This AI agent integrates data, analysis, and decision support into a single workflow in Telegram, making results actionable and auditable.
A simple 3-step flow you can follow even if you’re non-technical.
Ingests market data from TwelveData and allows quick swapping between AI models.
Runs TA on 200 hourly candles, computes indicators, and enforces stop losses and risk-reward checks.
Creates a signal with entry/SL/TP, logs the reasoning, and notifies via Telegram.
A realistic, end-to-end scenario with a concrete outcome.
Scenario: 2026-04-28 08:30 UTC, BTCUSD on a 1h chart. Model: DeepSeek. The agent analyzes RSI, MACD, Bollinger Bands, ATR, and major support levels. It outputs BUY BTCUSD at 48000 with SL 47200 and TP 48450. Within 25 seconds, Telegram receives a message detailing the signal, the rationale, and risk parameters, followed by a reminder to review before execution. The exit plan includes a 50% stop or trailing stop if the price moves in favor, with updated rationale and data points cited in the message.
Roles that gain practical value from AI-assisted trading analysis via Telegram.
Needs rapid TA and signal validation across assets like BTC, ETH, and altcoins.
Benefits from cross-pair TA and model comparisons during volatile sessions.
Wants to compare model outputs and backtest signals in a controlled environment.
Explores practical applications of DeepSeek, GPT, Gemini, and Claude in markets.
Uses a production-ready foundation to build more complex trading systems.
Learns AI-driven technical analysis and signal rationale with real examples.
Tools that run the AI agent and deliver results to Telegram.
Provides real-time market data for 5000+ crypto/forex/stock pairs used by the agent for TA and signals.
Acts as a primary reasoning brain for signal generation and user Q&A within Telegram.
Alternative AI model to compare signals and explanations in parallel with GPT.
Provides additional cross-model insights and rationale for trading decisions.
Low-cost signal generation option for rapid iterations and backtesting.
Runs local models on your hardware to keep data private and reduce cloud costs.
Delivers signals, explanations, and educational content directly in Telegram.
Stores recent chat context and memory for context-aware follow-ups.
Practical scenarios to maximize learning and trading outcomes.
Common questions about using the Telegram trading bot AI agent.
The AI agent is an educational and experimental tool. It generates signals and explains its reasoning but does not execute trades automatically by default. Users should perform paper trading first and validate signals manually before any real-money deployment. Market conditions, model choice, and risk management all significantly affect outcomes. This should be used to support, not replace, your own judgment.
The tool supports crypto, forex, and stock assets via the TwelveData data feed. You can switch the asset by changing two parameters in the setup. It’s designed to handle BTCUSD, ETHUSD, SOLUSD, and thousands of other assets within the TwelveData universe. Availability depends on the data plan you choose.
The base workflow focuses on signal generation and educational analysis. Automated trading can be enabled only with explicit risk controls and broker integration vetted by the user. Always ensure you maintain manual review before automatic execution. The system is designed for experimentation, not guaranteed profitability.
Supported models include Google Gemini, OpenAI GPT-4/5, Claude Sonnet/Opus, DeepSeek, and local Ollama as a fallback. You can swap models quickly to compare outputs and explanations. Model performance varies with market conditions, so running parallel analyses helps identify the most reliable brain for your strategy.
Costs depend on the chosen model and data usage. DeepSeek is among the cheapest options, with higher-cost models like GPT-4 contributing more per signal. The design targets minimal per-signal cost while preserving informative reasoning. You can reduce costs by limiting model swaps and data calls during testing.
Use paper trading to simulate trades and assess signal quality without capital at risk. Run comparisons across multiple models and keep a log of outcomes. Review the rationale provided by the agent to understand why a signal appeared, then adjust indicators or risk settings accordingly. Progress iteratively to refine your strategy before real-money use.
Signals come with explicit stop losses at 1.5x ATR and a minimum 1:2 risk-reward ratio. The agent enforces these rules to avoid disproportionate losses. If a trade violates risk rules, the signal is not issued or is flagged for manual review. You can customize risk parameters to fit your tolerances and strategy.
Monitors market data, runs real-time technical analysis, generates disciplined trading signals with entry, stop loss, and take profit levels, and explains decisions via Telegram.
