H Trading

Specification


---

1. Objective & Scope (High-Level Requirements)

Primary Objective

Build an automated trading bot that:

Identifies trading opportunities

Executes trades automatically or semi-automatically

Manages risk consistently

Logs and evaluates performance



Scope

Asset class: (e.g., Forex, Crypto, Stocks — adjustable)

Trading style: (Scalping / Day trading / Swing / Long-term)

Market access: API-based broker or exchange

Timeframe: (e.g., 1m, 5m, 15m, 1h)



---

2. Functional Requirements

2.1 Market Data Handling

Fetch real-time and historical market data

Support:

OHLCV data

Multiple timeframes


Data validation and missing-data handling


2.2 Strategy Logic

Entry conditions

Exit conditions

Indicator calculation (e.g., MA, RSI, MACD, ATR)

Signal confirmation rules

Cool-down period between trades


2.3 Trade Execution

Place market / limit orders

Modify orders (SL / TP)

Cancel pending orders

Handle partial fills and slippage


2.4 Risk & Money Management

Max risk per trade (% of balance)

Stop-loss & take-profit logic

Max daily drawdown

Position sizing rules

Trade cap per day/session


2.5 State Management

Track:

Open positions

Account balance & equity

Trade history


Persist state across restarts


2.6 Logging & Reporting

Trade logs

Error logs

Performance metrics:

Win rate

Drawdown

Sharpe ratio


Export reports (CSV / JSON)



---

3. Non-Functional Requirements

3.1 Performance

Low-latency execution

Efficient indicator computation

Rate-limit compliance


3.2 Reliability

Automatic reconnect on API failure

Graceful shutdown

Fail-safe on abnormal behavior


3.3 Security

Encrypted API keys

No hard-coded credentials

Read-only vs trading permissions separation


3.4 Maintainability

Modular architecture

Clear separation:

Data

Strategy

Execution

Risk


Config-driven parameters



---

4. System Architecture (Suggested)

[ Market Data Module ]
          ↓
[ Strategy Engine ]
          ↓
[ Risk Manager ]
          ↓
[ Execution Engine ]
          ↓
[ Broker / Exchange API ]

Supporting modules:

Logger

Backtesting Engine

Configuration Manager



---

5. Strategy Requirements (Trading Logic)

Define clearly:

Entry Rules

Indicator conditions

Trend filters

Volume confirmation

Time-based filters (sessions)


Exit Rules

Fixed SL/TP

Trailing stop

Indicator-based exit

Time-based exit


Risk Constraints

Risk per trade ≤ X%

Max open trades = N

Daily loss limit



---

6. Backtesting & Validation Requirements

Historical data coverage ≥ 1–3 years

Walk-forward testing

Out-of-sample testing

Monte Carlo simulations (optional)


Acceptance criteria:

Max drawdown ≤ threshold

Profit factor ≥ target

Consistent equity curve



---

7. Deployment Requirements

Environment:

Local / VPS / Cloud


OS compatibility

Continuous monitoring

Auto-restart capability



---

8. Compliance & Control (Optional but Important)

Manual override (kill switch)

Trading hours restrictions

Compliance with broker rules

Alert system (Telegram / Email)



---

9. Success Metrics (KPIs)

Net profit

Drawdown

Win rate

Risk-adjusted returns

Execution accuracy



---

10. Future Enhancements (Roadmap)

Machine learning strategies

Multi-asset support

Portfolio optimization

Adaptive risk models



---

Next Step (Important)

To customize this exactly for you, tell me:

1. Market (Forex / Crypto / Stocks)


2. Programming language (Python, JS, MQL, etc.)


3. Broker or exchange


4. Manual or fully automated


5. Strategy type (indicator-based, price action, ML)

Responded

1
Developer 1
Rating
(510)
Projects
977
74%
Arbitration
27
19% / 67%
Overdue
100
10%
Free
Published: 1 article, 6 codes
2
Developer 2
Rating
Projects
0
0%
Arbitration
0
Overdue
0
Free
3
Developer 3
Rating
Projects
0
0%
Arbitration
0
Overdue
0
Free
4
Developer 4
Rating
(4)
Projects
6
33%
Arbitration
7
14% / 57%
Overdue
1
17%
Free
5
Developer 5
Rating
Projects
0
0%
Arbitration
0
Overdue
0
Free
Similar orders
# HIGH-FREQUENCY M5/M15 CONCURRENT ENTRY SNIPER import time class HighFrequencySniper: def __init__(self): self.target_profit = 25.00 # Targeted Delta Move self.max_execution_time = 3600 # 1 Hour Sandbox (Seconds) self.lot_allocation = "CALIBRATED_TO_RISK" def execute_hft_scan(self, current_price, m5_rsi, m15_order_block): print(f"[SCANNING] Current Kernel Metric: ${current_price:.2f}")
I need a trading bot, please i need this project urgently and when messaing me kindly send me samples of past works and dont forget i need the project to be done as soon as possible
Genesis EA 30 - 100 USD
// This work is licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International // https://creativecommons.org/licenses/by-nc-sa/4.0/ // © UAlgo //@version=6 indicator("Rejection Blocks [UAlgo]", overlay=true, max_boxes_count=500, max_labels_count=500, max_lines_count=500) // ----------------------------------------------------------------------------- // Settings //
If you have good Market structure indicators with buffer no repaint internal structure and external structure etc good market structure if you have then i already have ea you have to input into the indicator soy current ea opens position based on the market structure
*Need an MQL5 EA for MT5 to trade gold and forex automatically. Must include Stop Loss, Take Profit, and basic risk management. Budget is $30 to $50. Looking for clean, stable code that works on VPS.*
MT5 EA for XAUUSDm - Trend Grid with EMA+ATR+ADX (Non-Martingale) 【Strategy Summary】 - EMA(50) on H1 judges trend direction. 2 H1 closes to confirm crossover. - ADX(14) below 20 stops new orders. Existing orders still managed. - Parallel mode: 5 stop orders placed at once. Spacing = ATR(14)×1.5 (300-600 pts). - TP: 1 new order at furthest price + spacing. SL: no replacement. - Fixed SL 300pts. No fixed TP. Trailing
Hello Developers, I am looking for an experienced MQL5 developer to complete the development of a custom MetaTrader 5 Expert Advisor (EA) based on my proprietary trading strategy. I already have a partially developed EA that includes the required custom indicators and part of the trading logic. The project can either be completed by modifying the existing EA or, if more appropriate, by rebuilding it from scratch
Description: I need an experienced MQL5 developer to build a professional MT5 Expert Advisor for XAU/USD based on my trading strategy. I require the full .mq5 source code and the compiled file. Trading Logic: Timeframes: H4 to determine overall direction, H1 for supply and demand zones, M15 for trade entries. Buy conditions: H4 trend is bullish, price reaches a valid H1 demand zone, liquidity sweep occurs below the
WORKING EA 35+ USD
I Need an existing proven profitable EA. EA should have at least 3 months track record of consistency. My budget is $35 and nothing more. If you do not have the working EA for that amount, please do not apply. I'm not paying a dime more. Again do not apply if you are not willing to take the above amount
Standby Description . Prop Firm Environment . ( Monitor Execution and Handling Environment Changes as Required ) . Technical Issues . Delete extra lines of code (Clean Code , Folder) . Asset related translation , no need for Logic Alteration

Project information

Budget
30 USD
Deadline
to 30 day(s)