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Fiverr Pro
English
$
USD
I will build a complex autonomous ai agent with reasoning and execution
Professional Trading Bot Developer, Binance API, MT4 MT5, Pine Script Expert
I specialize in building reliable algorithmic trading solutions for crypto and forex markets. With expertise in Binance, MT4/MT5, and TradingView, I develop custom trading bots, EAs, and Pine Script s...
About this Gig
AUTONOMOUS TRADING BOT NOT A SINGLE INDICATOR, A FULL SYSTEM
I build Python trading bots for Binance (and other exchanges) that go beyond
"buy on RSI cross." My bots research live market data, filter signals through
multi-factor scoring, model probable outcomes, execute with real risk controls,
and adapt based on what's actually working.
What you get:
- Live data ingestion (OHLCV, order book, funding rate, on-chain)
- Multi-factor signal filtering not one indicator, several combined
- Position sizing, adaptive stop-loss, risk exposure controls
- Real execution via exchange API (testnet or live)
- Trade logging + PnL tracking (Excel or database)
- Performance feedback loop track what's winning, adjust strategy
️Built in Python (ccxt, WebSocket/REST, pandas) for Binance, or a custom
setup if you're elsewhere.
I run systems like this myself on live markets, so I understand orderflow,
volume profile, and regime detection firsthand not just from documentation.
Send your strategy logic or reference material and I'll scope the build.
Platform:
TradingView
•
Custom
•
Binance
Development technology:
Python
•
PineScript
My Portfolio
FAQ
Is this an LLM-based agent (like using GPT/Claude APIs) or a rule-based system?
Depends on scope — the Filter/Predict layers work well as statistical + rule-based models for speed and reliability, while the Reason/Adapt layer can incorporate LLM-assisted reasoning for interpreting evidence and generating strategy alternatives. I'll recommend the right mix for your use case.
Does this only work for trading?
No — trading is my proven flagship (I run this architecture live), but the same Research → Filter → Predict → Execute → Learn → Adapt loop applies to any domain with noisy real-world data and a decision to make: e-commerce inventory, lead scoring, content moderation, ops automation.
What makes this "not just a bot"?
A bot executes fixed rules. This agent maintains belief states, revises its own confidence based on new evidence, tracks why an outcome happened (causal analysis) rather than just what happened, and adjusts its own strategy — that's the Reason + Adapt layer most trading bots skip entirely.
Can I see it running on real data before committing to Premium?
Yes — Basic/Standard tiers double as a proof of concept for the Filter/Predict logic before you commit to the full architecture.
How do you handle IP/ownership of the code?
Full code ownership transfers to you on delivery. I don't reuse client-specific logic across other clients' projects.
Reviews
1 reviews for this Gig
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P paul_hamen54
United States
A professional experience overall, amazed by their product and delivers full background of the subject
$50
Price
1 day
Duration
Helpful?
Reviews
1 reviews for this Gig
| (1) | ||
| (0) | ||
| (0) | ||
| (0) | ||
| (0) |
Rating Breakdown
- Seller communication level
- Quality of delivery
- Value of delivery
Sort By
Most relevant
P paul_hamen54
United States
A professional experience overall, amazed by their product and delivers full background of the subject
$50
Price
1 day
Duration
Helpful?
