FreelanceBölümler

⏱️ Urgent project – looking for an experienced developer to finalize MT4 bot (deadline: Tuesday)

MQL5 Uzmanlar Forex Trading robot/indicator debugging Uploading data to a website

Şartname

"""
Fast Multi-Pair RSI Trading Bot
Supports:
- BTCUSDT
- XAUUSD
- GBPUSD

Opens fast buy or sell trades based on RSI signals
Closes trades after 5, 10, or 15 minutes
"""

import asyncio
import time
from dataclasses import dataclass, field
from typing import Dict, List, Optional
import pandas as pd
import numpy as np

# ===== RSI calculation ===== #
def compute_rsi(close: pd.Series, period: int = 14) -> pd.Series:
    delta = close.diff()
    gain = delta.clip(lower=0)
    loss = -delta.clip(upper=0)
    avg_gain = gain.ewm(alpha=1 / period, adjust=False).mean()
    avg_loss = loss.ewm(alpha=1 / period, adjust=False).mean()
    rs = avg_gain / avg_loss
    return 100 - (100 / (1 + rs))

# ===== Position structure ===== #
@dataclass
class Position:
    id: str
    symbol: str
    side: str
    entry_price: float
    size: float
    opened_at: float
    duration_min: int

# ===== Config ===== #
@dataclass
class BotConfig:
    symbols: List[str] = field(default_factory=lambda: ["BTCUSDT", "XAUUSD", "GBPUSD"])
    rsi_period: int = 14
    rsi_oversold: int = 30
    rsi_overbought: int = 70
    durations_min: List[int] = field(default_factory=lambda: [5, 10, 15])
    account_equity: float = 2000.0
    risk_pct: float = 0.5
    lot_size: Optional[float] = None
    paper: bool = True

# ===== Trading Bot ===== #
class MultiPairRSIBot:
    def __init__(self, cfg: BotConfig):
        self.cfg = cfg
        self.data: Dict[str, pd.DataFrame] = {sym: pd.DataFrame() for sym in cfg.symbols}
        self.positions: Dict[str, Dict[str, Position]] = {sym: {} for sym in cfg.symbols}
        self._id = 0

    # ========== Fake 1-minute feed for PAPER mode ========== #
    def get_fake_ohlcv(self, symbol):
        now = int(time.time()) * 1000
        df = self.data[symbol]

        last_close = df["close"].iloc[-1] if not df.empty else 1000 + np.random.rand() * 10
        change = np.random.normal(0, 0.0008)
        close = last_close * (1 + change)
        high = max(last_close, close)
        low = min(last_close, close)

        return (now, last_close, high, low, close, 0)

    # ========== Append new candle ========== #
    def append_candle(self, symbol, ohlc):
        ts, o, h, l, c, v = ohlc
        row = {"timestamp": pd.to_datetime(ts, unit="ms"),
               "open": o, "high": h, "low": l, "close": c, "volume": v}
        self.data[symbol] = pd.concat([self.data[symbol], pd.DataFrame([row])], ignore_index=True)
        if len(self.data[symbol]) > 2000:
            self.data[symbol] = self.data[symbol].iloc[-2000:]

    # ========== Timeframe aggregation ========== #
    def to_tf(self, symbol, minutes):
        df = self.data[symbol]
        if df.empty:
            return pd.DataFrame()
        df["bucket"] = df["timestamp"].dt.floor(f"{minutes}T")
        out = df.groupby("bucket").agg({
            "open": "first",
            "high": "max",
            "low": "min",
            "close": "last",
            "volume": "sum"
        }).reset_index().rename(columns={"bucket": "timestamp"})
        return out

    # ========== Position sizing ========== #
    def get_size(self, price):
        if self.cfg.lot_size:
            return self.cfg.lot_size
        risk_amount = self.cfg.account_equity * (self.cfg.risk_pct / 100)
        return round(risk_amount / price, 4)

    # ========== Check RSI signals and enter trades ========== #
    async def process_signals(self, symbol):
        for dur in self.cfg.durations_min:
            df = self.to_tf(symbol, dur)
            if len(df) < self.cfg.rsi_period + 2:
                continue

            df["rsi"] = compute_rsi(df["close"], self.cfg.rsi_period)

            prev = df["rsi"].iloc[-2]
            last = df["rsi"].iloc[-1]
            price = df["close"].iloc[-1]

            # BUY: RSI cross up
            if prev <= self.cfg.rsi_oversold and last > prev:
                size = self.get_size(price)
                await self.open_position(symbol, "buy", price, size, dur)

            # SELL: RSI cross down
            if prev >= self.cfg.rsi_overbought and last < prev:
                size = self.get_size(price)
                await self.open_position(symbol, "sell", price, size, dur)

    # ========== Open position ========== #
    async def open_position(self, symbol, side, price, size, duration):
        self._id += 1
        pid = f"{symbol}_{self._id}"
        print(f"[{symbol}] OPEN {side.upper()} @ {price:.2f} | {duration}m | size {size}")

        pos = Position(
            id=pid,
            symbol=symbol,
            side=side,
            entry_price=price,
            size=size,
            opened_at=time.time(),
            duration_min=duration
        )
        self.positions[symbol][pid] = pos

    # ========== Close expired trades ========== #
    async def close_expired(self, symbol):
        now = time.time()
        to_close = []

        for pid, pos in self.positions[symbol].items():
            if (now - pos.opened_at) / 60 >= pos.duration_min:
                to_close.append(pid)

        for pid in to_close:
            await self.close_position(symbol, pid)

    # ========== Close position ========== #
    async def close_position(self, symbol, pid):
        pos = self.positions[symbol][pid]
        last_price = self.data[symbol]["close"].iloc[-1]
        pnl = (last_price - pos.entry_price) * pos.size if pos.side == "buy" else (pos.entry_price - last_price) * pos.size

        print(f"[{symbol}] CLOSE {pos.side.upper()} @ {last_price:.2f} | PnL = {pnl:.3f}")
        self.cfg.account_equity += pnl
        del self.positions[symbol][pid]

    # ========== Main loop ========== #
    async def start(self):
        print("Starting multi-pair RSI bot...")
        print("Symbols:", self.cfg.symbols)

        while True:
            try:
                for symbol in self.cfg.symbols:

                    # new candle
                    ohlcv = self.get_fake_ohlcv(symbol)
                    self.append_candle(symbol, ohlcv)

                    # signal scan
                    await self.process_signals(symbol)

                    # manage trades
                    await self.close_expired(symbol)

            except Exception as e:
                print("Error:", e)

            await asyncio.sleep(1)

# ========== Launch Example ========== #
async def main():
    cfg = BotConfig(
        symbols=["BTCUSDT", "XAUUSD", "GBPUSD"],
        account_equity=3000.0,
        paper=True,
        lot_size=None
    )
    bot = MultiPairRSIBot(cfg)

    task = asyncio.create_task(bot.start())
    await asyncio.sleep(60 * 5) # run 5 minutes demo
    task.cancel()

if __name__ == "__main__":
    asyncio.run(main())

Yanıtlandı

1
Geliştirici 1
Derecelendirme
(630)
Projeler
994
47%
Arabuluculuk
33
36% / 36%
Süresi dolmuş
98
10%
Serbest
Yayınlandı: 6 kod
2
Geliştirici 2
Derecelendirme
(19)
Projeler
23
9%
Arabuluculuk
6
33% / 50%
Süresi dolmuş
1
4%
Meşgul
3
Geliştirici 3
Derecelendirme
(43)
Projeler
50
28%
Arabuluculuk
14
21% / 64%
Süresi dolmuş
1
2%
Çalışıyor
4
Geliştirici 4
Derecelendirme
(6)
Projeler
5
0%
Arabuluculuk
3
33% / 67%
Süresi dolmuş
2
40%
Serbest
5
Geliştirici 5
Derecelendirme
(8)
Projeler
11
0%
Arabuluculuk
7
29% / 71%
Süresi dolmuş
2
18%
Çalışıyor
6
Geliştirici 6
Derecelendirme
(16)
Projeler
35
23%
Arabuluculuk
4
0% / 50%
Süresi dolmuş
2
6%
Çalışıyor
7
Geliştirici 7
Derecelendirme
(1)
Projeler
2
0%
Arabuluculuk
2
0% / 50%
Süresi dolmuş
0
Serbest
8
Geliştirici 8
Derecelendirme
(2)
Projeler
2
0%
Arabuluculuk
0
Süresi dolmuş
0
Serbest
9
Geliştirici 9
Derecelendirme
(16)
Projeler
20
10%
Arabuluculuk
8
38% / 38%
Süresi dolmuş
3
15%
Çalışıyor
10
Geliştirici 10
Derecelendirme
(568)
Projeler
657
32%
Arabuluculuk
41
41% / 46%
Süresi dolmuş
11
2%
Meşgul
11
Geliştirici 11
Derecelendirme
(14)
Projeler
19
11%
Arabuluculuk
4
50% / 25%
Süresi dolmuş
4
21%
Çalışıyor
12
Geliştirici 12
Derecelendirme
(4)
Projeler
3
33%
Arabuluculuk
2
0% / 100%
Süresi dolmuş
0
Serbest
13
Geliştirici 13
Derecelendirme
(2660)
Projeler
3379
68%
Arabuluculuk
77
48% / 14%
Süresi dolmuş
342
10%
Serbest
Yayınlandı: 1 kod
14
Geliştirici 14
Derecelendirme
(2)
Projeler
3
0%
Arabuluculuk
0
Süresi dolmuş
0
Serbest
15
Geliştirici 15
Derecelendirme
(1)
Projeler
0
0%
Arabuluculuk
1
0% / 100%
Süresi dolmuş
0
Serbest
16
Geliştirici 16
Derecelendirme
(1)
Projeler
1
100%
Arabuluculuk
0
Süresi dolmuş
0
Serbest
17
Geliştirici 17
Derecelendirme
(258)
Projeler
264
30%
Arabuluculuk
0
Süresi dolmuş
3
1%
Serbest
Yayınlandı: 2 kod
18
Geliştirici 18
Derecelendirme
(25)
Projeler
29
21%
Arabuluculuk
20
10% / 50%
Süresi dolmuş
8
28%
Yüklendi
19
Geliştirici 19
Derecelendirme
(8)
Projeler
9
0%
Arabuluculuk
2
0% / 50%
Süresi dolmuş
1
11%
Çalışıyor
20
Geliştirici 20
Derecelendirme
(298)
Projeler
477
40%
Arabuluculuk
105
40% / 24%
Süresi dolmuş
81
17%
Yüklendi
Yayınlandı: 2 kod
21
Geliştirici 21
Derecelendirme
Projeler
0
0%
Arabuluculuk
0
Süresi dolmuş
0
Serbest
22
Geliştirici 22
Derecelendirme
Projeler
0
0%
Arabuluculuk
0
Süresi dolmuş
0
Serbest
23
Geliştirici 23
Derecelendirme
Projeler
0
0%
Arabuluculuk
0
Süresi dolmuş
0
Serbest
Benzer siparişler
Early Killer EA 30+ USD
It must have automated stop loss. Something that can end poverty and kill the market early.It must take the trades for me whenever I start it it must work on tradeport ea
Design & Construct Scripts for Sharing Screenshots with Clarifai 150+ USD
I want to use a ai subscription service called Clarifai as an image identification tool, and I wish to use it in response to screenshots of my signals being generated and placed in a folder. -I believe there needs to be a script that responds to a new screenshot being added to a specific folder That script then sends the image to Clarifai, and then Clarifai needs to be instructed to scan that image and look for
Some one creates an ea based on this heikein ashi smothed indicator 30 - 200 USD
buy condition when blue color appears sell condition when yellow color appears close all buys when there is a sell order close all sells when there is a buy order
Mk 30+ USD
I need a fully automated trading robot designed to generate consistent profits while strictly controlling risk and minimizing losses. The robot should use a combination of strategies, including trend-following, scalping, and price action, and must be able to adapt to different market conditions such as trending and ranging markets. It should analyze the market using indicators like Moving Averages, RSI, MACD, and
Expert trading robot developer needed 30+ USD
1. IF price forms: - Higher highs + higher lows → TREND = BUY - Lower highs + lower lows → TREND = SELL ELSE → NO TRADE 2. IF: - Trend = BUY - Price retraces to support zone - Bullish engulfing candle forms - TDI green crosses above red (optional) THEN: - Execute BUY 3. IF: - Trend = SELL - Price retraces to resistance - Bearish engulfing forms - TDI confirms THEN: - Execute SELL 4. Risk per trade = 1% of account Lot

Proje bilgisi

Bütçe
50+ USD