You will get Custom Trading Bot | Alpaca/IBKR, Telegram Alerts, 24/7 Deploy
Project details
I build automated trading bots that execute your rules 24/7 — bracket orders, risk-based sizing, Telegram alerts, and full trade journals. Not a signal service. Not a strategy generator. I take YOUR rules and make them run on a server while you sleep. 4+ production bots running right now on my own capital. Source code you keep, deployed and running before handoff.
Programming Languages
PythonWhat's included
| Service Tiers |
Starter
$599
|
Standard
$1,499
|
Advanced
$2,999
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 2 | 3 | 5 |
Number of Pages Mined/Scraped | 0 | 0 | 0 |
Number of Sources Mined/Scraped | 0 | 0 | 0 |
Install Script | |||
Test Script | - | ||
Task Automation |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$149 - $599
Additional Revision
+$99
Test Script
(+ 3 Days)
+$199
Additional Exchange/Broker
(+ 5 Days)
+$349
Additional Data Source
(+ 3 Days)
+$149
Post-Handoff Support (10 days)
(+ 10 Days)
+$249Frequently asked questions
About Rakeem
Independent Developer / Trading Systems Engineer
Mount Vernon, United States - 11:39 pm local time
I've designed and shipped a fleet of automated trading and event-market bots (equities, futures, Kalshi) running on an Oracle Cloud VM — exchange and DEX API integration, real-time market data, automated entry/exit logic, risk controls, and systemd-managed uptime with health monitoring so they don't silently break. Executing through Alpaca's API with Telegram and Discord notifications. I also build back-office automation and AI agent workflows in Python and Claude that take repetitive work off small businesses.
What I build for clients:
- Trading & Crypto bots: rule-based execution through Alpaca, IBKR, or TradingView webhooks. Bracket orders (entry + stop + target), risk-based position sizing, equity-curve scaling.
- Multi-asset alert systems: price cross, percentage move, volume spike, and range breakout monitors across stocks and crypto.
- AI-powered trade review: Claude/OpenAI layers that analyze entries and exits, generate daily P&L digests, and flag rule violations.
- Deployment infrastructure: systemd services on Linux VPS, GitLab Actions cron pipelines, structured logging, auto-restart on failure.
Tech stack: Python, Alpaca Trade API, Telegram Bot API, Discord webhooks, yfinance, systemd, Oracle Cloud / AWS.
See my Portfolio section for open-source repos sanitized from production systems (trading bot template and multi-asset price alert bot).
I won't promise a profitable strategy. I'll guarantee your rules execute correctly, 24/7, with full logs and notifications.
Steps for completing your project
After purchasing the project, send requirements so Rakeem can start the project.
Delivery time starts when Rakeem receives requirements from you.
Rakeem works on your project following the steps below.
Revisions may occur after the delivery date.
Strategy audit and scope lock
I review your trading rules, broker setup, risk parameters, and alert preferences. We agree on exactly what the bot will do (and won't do) before any code is written.
Bot build and paper testing
I build the execution engine, wire up your broker API (Alpaca/IBKR), and connect Telegram/Discord alerts. The bot runs on paper trading for 2-3 market sessions while I verify order placement, stop/target logic, and edge cases.