⚔️ Nihayat Al-Mujrim – ETH/USDT Binance Bot (Python | Isolated Margin ×2 | Cumulative Profit | API Verification Required | Budget 310 USD)

Tâche terminée

Temps d'exécution 10 jours
Commentaires du client
He is an excellent developer and I highly recommend him
Commentaires de l'employé
Very very good customer... Thanks

Spécifications

⚔️ Nihayat Al-Mujrim – ETH/USDT Trading Bot

(Isolated ×2 | Cumulative Profit System | Binance Margin Trading)


I don’t have a demo account. The developer must use their own testing environment or Binance demo keys to verify the connection, run the bot, and install it on the provided VPS before final delivery.


🔴 Pre-Flight Note (MANDATORY before starting)
 1. 🟥 API Key Test Required:
 • Permissions: Trade + Read Only (No Withdraw access).
 • If IP Whitelist is active, add VPS IP address.
 • Perform 2 small orders (Market Buy → Market Sell) to confirm execution + balance updates.
 • Confirm system works on Spot / Isolated Margin ×2.
 2. 🟥 Environment Setup:
 • VPS must be near Binance servers, time synced (NTP), and must save logs for every action.

⚠️ Previous developer failed to link keys — do not start coding before passing this step.


💰 General Parameters
 • 🟢 Pair: ETH/USDT
 • 🟢 Mode: Spot / Isolated ×2
 • 🟢 Capital: 7,125 USDT → effective ≈ 14,250 USDT
 • 🟡 Price Range: 25 % auto-adjusting drop (e.g., 3,700 → ≈ 2,200 USDT)
 • 🟢 Total Trades: 500
 • 🟢 Trade Size: 20 → 40 USDT (+0.04 each trade)
 • 🟢 Spacing: 3.5 → 2.5 USDT (−0.002 to −0.004 each trade)
 • 🟢 Execution: Market Buy / Market Sell only
 • 🟢 Target Profit per Trade: 0.70 USDT
 • 🟢 Profit Mode: Cumulative = (Open Trades × 0.70 USDT)
 • 🟢 Close-All on Profit: Rebound ≥ 0.10 – 0.15 % (after fees)
 • 🟢 Restart: Immediately after each closure


⚙️ Working Logic
 1. 🟢 First trade opens instantly at market price.
 2. 🟢 Each price drop opens a new trade with smaller spacing and larger size.
 3. 🟢 When cumulative PnL ≥ target → Close All (Market).
 4. 🟢 After closure → restart from current price.


🧩 Profit Examples (Base Price = 3,700 USDT)

🟡 Example 1 – Small Dip & Quick Rebound
 • 3,700 → 3,660 (−40 USDT) → ≈ 13 trades
 • Target = 13 × 0.70 = 🟢 9.1 USDT profit
 • Rebound ≈ 0.15 % (~5 USDT) → close all

🟡 Example 2 – Moderate Dip (−100 USDT)
 • 3,700 → 3,600 → ≈ 33 trades
 • Target = 33 × 0.70 = 🟢 23.1 USDT profit
 • Rebound ≈ 0.10–0.15 % (~3.6–5.4 USDT) → close all

🟡 Example 3 – 10 % Drop
 • 3,700 → 3,330 → ≈ 250 trades
 • Target = 250 × 0.70 = 🟢 175 USDT profit
 • Rebound ≈ 0.10 % (~3.3 USDT) → close all


🔧 Technical Requirements
 • 🟢 Language: Python (CCXT or Binance SDK recommended)
 • 🟢 Modules:
 • Config (API, Isolated mode)
 • Position Manager (500 trades dynamic logic)
 • PnL Aggregator (cumulative after fees)
 • Executor (Market Buy/Sell + Close-All)
 • Logger + CSV/DB for each cycle
 • Health Check (API latency, time sync)


✅ Acceptance Checklist
 1. 🟢 API key test & environment verified.
 2. 🟢 Trade distribution matches spacing and size rules.
 3. 🟢 Close-All works on cumulative profit (after fees).
 4. 🟢 Auto-restart from current price after closure.
 5. 🟢 Logs & export function for each cycle required

Dossiers :

Répondu

1
Développeur 1
Évaluation
(21)
Projets
27
7%
Arbitrage
9
33% / 33%
En retard
1
4%
Travail
2
Développeur 2
Évaluation
(28)
Projets
31
45%
Arbitrage
1
100% / 0%
En retard
3
10%
Gratuit
3
Développeur 3
Évaluation
(169)
Projets
180
46%
Arbitrage
3
33% / 33%
En retard
1
1%
Travail
4
Développeur 4
Évaluation
Projets
0
0%
Arbitrage
1
0% / 100%
En retard
0
Gratuit
5
Développeur 5
Évaluation
(2)
Projets
3
0%
Arbitrage
1
100% / 0%
En retard
0
Gratuit
6
Développeur 6
Évaluation
(2)
Projets
1
0%
Arbitrage
1
0% / 100%
En retard
0
Gratuit
7
Développeur 7
Évaluation
(390)
Projets
416
30%
Arbitrage
74
19% / 72%
En retard
52
13%
Travail
8
Développeur 8
Évaluation
(4)
Projets
6
17%
Arbitrage
2
0% / 100%
En retard
3
50%
Gratuit
9
Développeur 9
Évaluation
(1)
Projets
2
0%
Arbitrage
1
100% / 0%
En retard
0
Gratuit
10
Développeur 10
Évaluation
(3)
Projets
1
100%
Arbitrage
3
0% / 100%
En retard
0
Gratuit
11
Développeur 11
Évaluation
(4)
Projets
5
0%
Arbitrage
0
En retard
0
Gratuit
12
Développeur 12
Évaluation
(29)
Projets
49
22%
Arbitrage
14
29% / 21%
En retard
13
27%
Gratuit
13
Développeur 13
Évaluation
(20)
Projets
26
38%
Arbitrage
6
33% / 50%
En retard
0
Gratuit
14
Développeur 14
Évaluation
(16)
Projets
35
23%
Arbitrage
4
0% / 50%
En retard
2
6%
Travail
Commandes similaires
Hello, I want a simple bot for NinjaTrader8. I need a bot that operates automatically on Nasdaq (NQ/MNQ). Requirements: open buys and sells following a simple trend strategy, configurable stop loss and take profit, risk per trade of 1 to 2% of capital, if it loses 3% in a day, stop trading until the next day. Compatible with backtesting, delivery of the source code and the working bot in NinjaTrader 8. My initial
I need a developer that can make my trading strategies into a working perfect EA Robot working on Mt5. Candlestick pattern confirmation through PDH, PDL, PWH, PWL, Liquidities, HTF OB
Platform MetaTrader 5 (MT5) MQL5 Source Code Required Compatible with Exness MT5 both standard and cent accounts/ICMarket accounts Works on EUR/USD only (initial version) ⸻ Objective Develop a fully automated AI Expert Advisor based on ICT Smart Money Concepts (SMC). The EA must only execute high-probability trades that satisfy all required conditions before opening a position. The EA must avoid overtrading and
MT4/MT5 HFT EA us30 30 - 3000 USD
Hello everybody, I'm looking for an experienced MQL4/MQL5 developer to optimize a High-Frequency Trading (HFT) Expert Advisor for both MT4 and MT5. The EA performs consistently and profitably on demo accounts, but when it is run on Raw and Standard live accounts under what appear to be the same trading conditions, it begins generating losses. I do not have the original source code (.mq4/.mq5); I only have the
I have a High-Frequency Trading (HFT) Expert Advisor for both MT4 and MT5 designed primarily for US30 (Dow Jones Index) . The EA performs consistently and profitably on demo accounts, but when I run it on an IC Markets Raw or Standard live account, it starts generating losses under what appear to be the same trading conditions. At this time, I cannot provide the source code (.mq4/.mq5). I can only provide the
I am looking for an experienced MQL5 developer to build a high-frequency (HFT) latency arbitrage Expert Advisor for Pepperstone MT5 , using LMAX as the leading price feed. The initial focus will be on US30 (Dow Jones) , and if the strategy proves successful, I want the EA to be easily expandable to additional symbols such as NAS100, GER40, XAUUSD, major forex pairs, and other supported instruments. The EA should
EA Crafter 500+ USD
Act as a professional Quantitative Developer and Risk Manager. I want to build a systematic trading strategy rulebook that prioritizes capital preservation and statistical edge over raw performance. Please generate a structured trading strategy using the following framework: 1. ASSET CLASS & TIMEFRAME: - Asset: [e.g., Apple (AAPL), Bitcoin (BTC), or EUR/USD] - Timeframe: [e.g., 5-minute, 1-hour, Daily] 2. CORE
I have an expert advisor's investor login. I want you to study it and make me the exact same EA. There should be absolutely no differences or mistakes. You should have great observation skills for this aswell

Informations sur le projet

Budget
310+ USD
Délais
de 1 à 3 jour(s)