Tarea técnica
1. Objective
A fully automated trading bot that:
• Trades USD-quoted assets (forex pairs like EUR/USD, GBP/USD, crypto markets with USD trading pairs, and USD-denominated stocks/ETFs).
• Uses real-time data to detect trends and place entries/exits based on multiple strategies.
• Maximizes profit while maintaining robust risk controls and drawdown limits.
2. High-Level Architecture
Components
Component Purpose
Data Ingestion Engine Collects real-time price data (ticks & candles)
Signal Generation Engine Applies multiple strategy algorithms
Risk & Money Management Module Size positions & control risk
Execution Engine Sends orders to broker/API
Portfolio Manager Tracks P/L, open positions, equity curve
Database/Logger Stores trade history, signals, performance logs
Monitoring UI / Alerts Real-time dashboard & notifications
Supported APIs
• Market Data: Binance, Coinbase Pro, OANDA, Alpaca, Interactive Brokers, etc.
• Order Execution: Same API provider with trading permissions.
• Websocket + REST combination for low latency.
3. *Data Input Requirements*
Market Data Type Interval
Forex OHLC + tick 1m, 5m, 15m, 1h
Crypto OHLC + tick 1m, 5m, 15m, 1h
Stocks/ETFs OHLC 1m, 5m, 15m
Data should include:
• Bid/Ask prices
• Volume
• Time
• Spread
4. *Strategy Framework*
Each strategy should generate a signal with:
• ENTRY_SIGNAL
• EXIT_SIGNAL
• CONFIDENCE_SCORE (0–1)
• RISK_SCORE (0–1)
• Aggregated into a final decision
Strategies run in parallel — final trade decision is weighted consensus.
5. *Core Trading Strategies*
*Trend Following (Primary)*
• Based on EMA/SMA crossovers
• Example: EMA(8) crosses above EMA(21) → LONG
• EMA(8) crosses below EMA(21) → SHORT
• Confirmation via MACD direction and slope
• Longer trend filter: SMA(50) and SMA(200)
📌 Works well in trending markets
*Momentum Breakouts*
• Detect strong breakouts above resistance / below support
• Filters:
• RS (Relative Strength) over short timeframe
• Volume spike filtering
• Entry:
• Price closes above resistance + volume > average
📌 Best for volatile markets
*Relative Strength Index (RSI) Strategy*
• RSI 14 period
• Buy when RSI < 30 and rising
• Sell when RSI > 70 and falling
• Optional exit:
• RSI crosses back through 50
📌 Helps avoid overbought/oversold traps
*Bollinger Band Reversion*
• Entry when price touches lower band and oversold
• Exit when price reverts to mid-band or upper
• Only valid if trend is neutral
📌 Works in sideways markets
*Breakout from Consolidation*
• Detect consolidation via low ATR & narrow range
• Place either buy or sell stop
• Use ATR for dynamic stop loss
📌 Captures explosive moves
6. *Risk & Money Management*
Position Sizing
• Fixed Fractional Risk: e.g., 1–2% of capital per trade
• Maximum exposure across all positions: 10–15% of account balance
Stop Loss
• ATR-based dynamic stops
• Stop = Entry ± (1.5 × ATR)
• Or chart-based support/resistance level
Take Profit
• Risk:Reward target 1:2 minimum
• Dynamic trailing stop
Daily Loss Limit
• Stop trading for the day if drawdown > 3% of capital
Correlation Filtering
• Avoid similar signals on strongly correlated pairs to reduce concentration risk
*7. Execution & Order Types*
• Limit orders when possible
• Market orders for fast-moving breakouts
• OCO orders for combined stop & take profit
• Slippage tolerance control
*8. Backtesting & Optimization*
• Historical data backtest with walk-forward validation
• Evaluate key metrics:
• CAGR (Annualized Return)
• Max Drawdown
• Win Rate
• Profit Factor
• Sharpe Ratio
Optimization
• Grid search on key parameters:
• EMA lengths
• RSI thresholds
• ATR multipliers
• Ensure out-of-sample stability
9. *Real-Time Monitoring & Alerts*
Alerts for:
• Filled orders
• Stop loss triggered
• Take profit hit
• Drawdown limit reached
• System errors
Delivery:
• SMS/Email/Telegram/Discord
10. *Tech Stack Options*
Languages
• Python (Pandas, NumPy, TA-Lib)
• Node.js (if low latency needed)
• Optional C++/Rust for core execution layer (high throughput)
Databases
• SQLite for local storage
• TimescaleDB/PostgreSQL for cloud scale
Hosting
• Cloud (AWS/GCP/Azure)
• On-prem VPS
11. *Reporting & Logging*
Daily/Weekly/Monthly reports:
• Equity curve graphs
• Drawdown chart
• Win/loss by strategy
• Pair/Asset performance breakdown
Store:
• Trade logs
• Strategy signal logs
• Performance snapshots
12. *Strategy Fusion Logic*
Final decision uses signal weighting model:
Score = Σ (Strategy_i_signal * strategy_weight_i * Confidence_i)
Only trigger trade if:
• Score > Entry threshold (buy)
• Score < Exit threshold (sell)
Weights can be dynamic and adjusted via performance.
*Bonus: AI/ML Enhancements*
Optional modules:
• Reinforcement learning for adaptive entry timing
• Clustering to detect regime shifts (Trend → Range)
• Sentiment analysis feed for crypto/stock markets
*Example Execution Flow*
1. Fetch latest market data
2. Run all strategies → produce signals
3. Fuse signals → produce final trade decision
4. Compute position size & risk parameters
5. Execute orders via broker API
6. Monitor positions & update trailing stops
7. Log trades + send alerts.
Han respondido
1
Evaluación
Proyectos
310
28%
Arbitraje
32
28%
/
63%
Caducado
10
3%
Trabaja
2
Evaluación
Proyectos
22
9%
Arbitraje
5
40%
/
40%
Caducado
1
5%
Trabajando
3
Evaluación
Proyectos
99
52%
Arbitraje
24
21%
/
54%
Caducado
8
8%
Trabaja
4
Evaluación
Proyectos
503
19%
Arbitraje
33
42%
/
30%
Caducado
33
7%
Trabajando
5
Evaluación
Proyectos
1
0%
Arbitraje
1
0%
/
100%
Caducado
0
Libre
6
Evaluación
Proyectos
0
0%
Arbitraje
0
Caducado
0
Libre
7
Evaluación
Proyectos
85
27%
Arbitraje
24
13%
/
58%
Caducado
7
8%
Trabaja
8
Evaluación
Proyectos
0
0%
Arbitraje
0
Caducado
0
Libre
9
Evaluación
Proyectos
35
23%
Arbitraje
4
0%
/
50%
Caducado
2
6%
Trabaja
10
Evaluación
Proyectos
3
33%
Arbitraje
0
Caducado
0
Trabaja
11
Evaluación
Proyectos
5
0%
Arbitraje
2
50%
/
50%
Caducado
2
40%
Libre
12
Evaluación
Proyectos
254
30%
Arbitraje
0
Caducado
3
1%
Libre
Ha publicado: 2 ejemplos
13
Evaluación
Proyectos
0
0%
Arbitraje
0
Caducado
0
Libre
14
Evaluación
Proyectos
3
33%
Arbitraje
2
0%
/
100%
Caducado
0
Libre
15
Evaluación
Proyectos
13
15%
Arbitraje
5
20%
/
20%
Caducado
4
31%
Ocupado
Solicitudes similares
AI SIGNAL GENERATING BOT
30 - 35 USD
I need a AI signal generating bot for forex trading that use the latest ai technology to track real time forex market, analyse and give signals. The bot should operate such that when i put it in a chart it will analyse the market, after several minutes it will display whether the trade is buying or selling. It should display the one minute, five minute,15minute, 30 minute, one hour, 4 hours and daily time frame
MODIFICATION OF MT5 TRADING BOTS
30 - 35 USD
I want to modify my two bots. One is a signal bot i want it to be modified to use ai technology in getting trading signals. The other one is a trading bot which is not working. I want it to be modified
Http://actorsancoaawedon.link
100000+ USD
RAMESH KUMAR IS THE SEXEN SECTION RAMESHKUMAR DIRECTOR AATHAM RAMESH PRINCE DIRECTOR AATHAM RAMESH ACTOR SANCO AAWEDON DIRECTOR MASS ASA _ ASA _ ASA _ ASA _ ASA _ ASA _ ASA _ ASA _ ASA _ ASA _ ASA _ ASA
Hello I want to convert my tradingview indicators into Ninja trader can anyone help me with it it is urgent and I will like to discuss more about it to you if you can help me Kindly do well to bid on it
MACD + SMA Trend Filter Expert Advisor for MT5
100 - 200 USD
I need a custom MT5 Expert Advisor with the following rules: Strategy: - Timeframe: M15 (adjustable input) - Indicators: - MACD (12,26,9) - SMA 200 as trend filter Entry rules (CLOSED candles only): - BUY: - MACD main crosses above signal on closed candle - Price close above SMA 200 - SELL: - MACD main crosses below signal on closed candle - Price close below SMA 200 General rules: - One trade at a time per
📌 JOB DESCRIPTION – FULLY AUTOMATED TRADING SYSTEM I am looking for an experienced developer to build a fully automated end-to-end trading system for MetaTrader 5. This is not an indicator-based bot and not a discretionary or black-box AI system. The system must follow a strict, deterministic rule-based trading framework that is already defined. 🎯 PROJECT GOAL Build a system where: A backend continuously evaluates
Bot007
50 - 200 USD
*Bot Name:* SupportShield *Description:* SupportShield is a cutting-edge trading bot that uses advanced technical analysis to identify key support and resistance levels in the market. By leveraging these levels, the bot provides traders with actionable insights to make informed trading decisions. *How it works:* 1. *Support Level*: The bot identifies a support level, where the price tends to bounce back or
Task Title Implement Martingale Lot Scaling Sync Between Master and Slave MT4 Trade Copier Background I am using a local master–slave trade copier setup with: 1 Master MT4 4 Slave MT4 terminals Trades are currently copied correctly (entry, direction, symbol, SL/TP). Lot size handling currently copies either: the exact master lot, or a fixed base lot defined on the slave (e.g., always 0.01 or 1.0). Problem When the
SyedAtif
30 - 40 USD
Then this EA will remain simple and clean , exactly following your core rules only: ✅ MA50 crosses Leading Span B → trade opens ✅ Opposite cross → trade closes ✅ No TP / SL ✅ Only one position at a time ✅ Entry only after candle close confirmation ✅ Final Simple MT5 Expert Advisor (English Specification) Entry Rules BUY Entry Open a Buy trade when: MA50 crosses above Leading Span B Trade is triggered only
I have a well-tested and profitable trading strategy that I personally use in live markets. I am looking for an experienced Algo/Trading Bot Developer who can convert this strategy into a fully automated trading bot. This is not a basic indicator or script. I need a professional-level trading automation system. What I need: • Convert my manual trading strategy into an automated bot • Bot should execute trades
Información sobre el proyecto
Presupuesto
500+ USD
Cliente
Encargos realizados1
Número de arbitrajes0