Developing an Automated Trading Logic: A Comprehensive Guide to Trading Bots

[alanvito1]

Introduction
Automated trading, using trading bots, has become increasingly popular in the financial market. This technology allows traders to execute their strategies quickly and accurately, without the interference of emotions. In this article, we will explore the steps to develop an automated trading logic and create your own trading bot.

What is a Trading Bot?
A trading bot, or algorithmic trading system, is a software program designed to execute buy and sell orders of financial assets automatically, following a predetermined trading logic. This logic is based on technical indicators, chart patterns, and other market variables.

How to Develop an Automated Trading Logic
Define Your Strategy:

Identify your trading style: Scalping, day trading, swing trading, or position trading?
Choose the assets to be traded: Stocks, indices, commodities, cryptocurrencies?
Determine the technical indicators: Moving averages, RSI, MACD, Bollinger Bands, etc.
Establish entry and exit signals: What market conditions will cause the bot to open or close a position?
Backtesting:

Simulate the strategy: Use historical data to test your strategy's performance in different market scenarios.
Evaluate the results: Calculate the win rate, average profit per trade, maximum drawdown, and other performance indicators.
Optimize the strategy: Adjust your strategy's parameters to improve the backtesting results.
Coding:

Choose a platform: MetaTrader 4/5, Python (with libraries like Backtrader, Zipline), or other programming platforms.
Write the code: Translate your trading logic into a programming language.
Test the code: Simulate the bot's execution in a testing environment to identify and correct errors.
Implementation:

Connect the bot to the broker: Configure connection and authentication settings.
Monetize the strategy: Decide whether to use the bot on your own account or commercialize it for other investors.
Important Considerations
Risk management: Set stop-loss and take-profit limits to protect your capital.
Costs: Consider brokerage fees, data fees, and other costs associated with automated trading.
Complexity: Start with simple strategies and gradually increase complexity.
Monitoring: Continuously monitor your bot's performance and make adjustments as needed.
Updates: Keep your bot updated to keep up with market changes.
Tools and Resources
Trading platforms: MetaTrader 4/5, TradingView, etc.
Programming languages: Python, MQL4/5, C++, etc.
Libraries: Backtrader, Zipline, Pandas, NumPy, etc.
Online communities: Forums, discussion groups, etc.
Conclusion
Developing an automated trading logic and creating a trading bot requires knowledge of programming, technical analysis, and risk management. However, with the tools and resources available today, it is possible to build effective trading systems.

Remember: The financial market is dynamic and subject to risks. There is no foolproof strategy. It is essential to conduct thorough research and test your strategies before applying them to a real account.

Would you like to delve deeper into a specific topic? I can provide more details on backtesting, coding in Python, risk management, or any other subject related to creating trading bots.

Possible topics for further exploration:

Advanced technical indicators: how to use indicators like the Ichimoku Cloud or the Alligator.
Candlestick patterns: how to identify and program the trading of patterns like hammer, shooting star, etc.
Machine learning: how to apply machine learning techniques to create more sophisticated strategies.
Risk management: how to calculate position size, use stop-loss and take-profit, and manage drawdown.

[KnightBot073]

Hello

[alanvito1]

Hello

[KnightBot073]

Hello...can you guide me on how to use bots in deriv

…

On Wed, Mar 12, 2025, 22:04 Alan Victor ***@***.***> wrote: Hello — Reply to this email directly, view it on GitHub <#74 (reply in thread)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/BPQK6YALQ4GUX4SSU7CQQAD2UCAKXAVCNFSM6AAAAABV27EDOSVHI2DSMVQWIX3LMV43URDJONRXK43TNFXW4Q3PNVWWK3TUHMYTENBXHEZDIOI> . You are receiving this because you commented.Message ID: ***@***.***>

[alanvito1]

Have you checked our guides and Telegram channel? They contain useful information on how to use bots in Deriv. Let me know if you need any specific guidance! 🚀

[KnightBot073]

Hello

…

On Wed, Mar 12, 2025, 22:04 Alan Victor ***@***.***> wrote: Hello — Reply to this email directly, view it on GitHub <#74 (reply in thread)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/BPQK6YALQ4GUX4SSU7CQQAD2UCAKXAVCNFSM6AAAAABV27EDOSVHI2DSMVQWIX3LMV43URDJONRXK43TNFXW4Q3PNVWWK3TUHMYTENBXHEZDIOI> . You are receiving this because you commented.Message ID: ***@***.***>

[Gambredxx]

been developing bots for derivs synthetic indices. ihave one with a 60% win rate on the crash and boom indicse.

cons. you have to still monitor the bots and close all losses manually. i failed to integrate sl due to sudden spikes

[alanvito1]

It sounds like you've made solid progress with your bot, achieving a 60% win rate on Crash & Boom—that's impressive! The challenge with manual loss management and sudden spikes is common in synthetic indices due to their volatility.

Here are a few suggestions to improve your bot:

Dynamic Stop-Loss (SL) Adjustment – Instead of a fixed SL, try a trailing stop or a time-based exit (e.g., close trade after X seconds if not in profit). This avoids getting stopped out by minor spikes while still capping losses.

Volatility-Based Filters – Add conditions to pause trading during extreme volatility (e.g., if the price moves too sharply in a short time).

Partial Closures – Scale out of trades in increments (e.g., close 50% at a small profit, let the rest run with a breakeven stop).

Manual Override Safety – If full automation isn’t possible, consider an alert system (e.g., notifications when a trade hits certain thresholds) so you can intervene faster.

Would you be open to sharing more details (e.g., strategy logic, timeframe)? The community might have specific tweaks to help!

[KnightBot073]

Give me any bot which can raise small account of 10$🥲

…

On Tue, Mar 18, 2025, 02:35 Alan Victor ***@***.***> wrote: Have you checked our guides and Telegram channel? They contain useful information on how to use bots in Deriv. Let me know if you need any specific guidance! 🚀 — Reply to this email directly, view it on GitHub <#74 (reply in thread)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/BPQK6YHXYHJTI6KGN6UBQQ32U5L27AVCNFSM6AAAAABV27EDOSVHI2DSMVQWIX3LMV43URDJONRXK43TNFXW4Q3PNVWWK3TUHMYTENJTGEZTQMQ> . You are receiving this because you commented.Message ID: ***@***.***>

[alanvito1]

Raising a small account like $10 requires careful strategy selection and risk management. The first step is to test different bots and strategies to see which one aligns best with your style.

90% of trading success depends on risk management and the trader’s decisions. Whether it’s a $10 or $1,000 account, the same discipline applies—only risk a percentage of your capital and aim for consistent daily growth.

Also, consider trading times and market conditions. High or low volatility affects performance, and it's not just about pressing a button and letting the bot run. Bots operate within the time and logic you set, and no bot can trade 24/7 without losses.

Markets adapt and detect patterns, so if you keep using the same strategy repeatedly, the market will adjust against you. The key is smart execution and risk control.

Let me know if you need guidance on strategy selection! 🚀

[ax5N]

I,m glad to see this.
I,ve been trading for eight years now and have become proficient in automation algorithm strategies, but are needing some support just to deploy a $10 deriv API environment on deriv Explorer , GitHub or CideSanbox . Is it possible to fully launch this on Android phone?
Android is : BV5900 .thanks
Paul.

[alanvito1]

Hi Paul, great to hear from an experienced algorithmic trader! Deploying your Deriv API bot directly on an Android device like your Blackview BV5900 has limitations, but here’s what you can do:

1️⃣ Android Constraints:
Deriv’s API requires persistent connectivity and backend execution (e.g., Python/Node.js scripts).

Android isn’t ideal for hosting long-running bots due to:

Background process restrictions

Sleep mode interruptions

Limited debugging tools

2️⃣ Workarounds:
Termux (Android App):
Install this Linux terminal emulator to run Python/Node.js scripts and manage your bot.
Steps:

bash
pkg install python nodejs git
git clone [your_github_repo]
pip install deriv-api
node your_bot.js
Note: Your phone must stay awake + connected 24/7. Unstable for live trading.

Cloud Deployment (Recommended):
Use free tiers of cloud services:

GitHub Actions: Schedule scripts (free for public repos).

PythonAnywhere: Run Python bots ($5/mo tier).

Replit.com: Host Node.js/Python + monitor via mobile browser.

Deriv Explorer:
Use it for testing/logic validation on mobile, but not for 24/7 bot hosting.

3️⃣ Android Setup (If Proceeding):
Install Termux + Termux:Tasker (for automation triggers).

Clone your GitHub repo.

Use cron or termux-job-scheduler to run scripts hourly/daily.

⚠️ Critical Advice:
Avoid live trading on Android due to instability (calls, reboots, network drops = missed trades).

Use Android for monitoring/alerts only. Host the bot on a Raspberry Pi/VPS ($3–5/mo) for reliability.

🔁 Alternative Flow:
Develop in Deriv Explorer (web-based).

Push code to GitHub.

Deploy via Deta.sh (free Node.js/Python cloud).

Monitor trades on Android via browser.

If you share your tech stack (Python/Node.js?), I’ll send exact setup steps! For now, cloud + mobile monitoring is safest.

Why this works:

Manages expectations (Android ≠ server).

Offers actionable alternatives.

Respects Paul’s experience while guiding toward stability.

Let me know if you’d like the Termux/Deta.sh setup walkthrough! 🚀

[ax5N]

Thanks for answering Alan .I,m actually advancing in ability from novice to expert trader with the LDP BinarySniper of yours and find it to be the most convincing bot in app in the market ! My three year observance of this bot using the Virtual Loss Hook + martingale does spectacular. I actually have fun testing low deposits of even $12 to test for the possibilities for small investors. I had gathered that on the Volatility 10 index a range of between 7 and 13 losses occurs only once or twice nearly every second day so I decided that if I set the no. of consecutive losses in a row to 9 or 10 with a low deposit ($12) , the wait with the martingale setting set to 1 tick per MF and Stake : 0.35 between 9 and 13 losses in a row actually does make it an impenetrable risk solver even for low deposit starters . It's been fun finding my way with this bot. So I,m deciding on scripting with the exact formulas used on the Deriv LDP BinarySniper to run on api . I tried to download Termux , my mobile is not compatible, I managed to even generate an open SSH and matching pki with ConnectBot i. If I save this key in my GitHub settings will my GitHub editor workflow give admission to pasting trading bots from there ?
and yes because I,m a community developer with the initiative to raise fast recovery for others, sharing the repository with the deriv and GitHub community is already part of my main objectives.
thanks
Paul.