自由职业者部分

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

MQL5 专家 外汇 自动交易/指标调试 向网站上传数据

指定

"""
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())

反馈

1
开发者 1
等级
(636)
项目
1007
47%
仲裁
33
36% / 36%
逾期
99
10%
工作中
发布者： 6 代码
2
开发者 2
等级
(22)
项目
28
7%
仲裁
9
33% / 33%
逾期
1
4%
工作中
3
开发者 3
等级
(52)
项目
64
39%
仲裁
15
27% / 60%
逾期
1
2%
工作中
4
开发者 4
等级
(7)
项目
6
0%
仲裁
4
25% / 75%
逾期
2
33%
空闲
5
开发者 5
等级
(8)
项目
11
0%
仲裁
8
25% / 75%
逾期
2
18%
空闲
6
开发者 6
等级
(16)
项目
35
23%
仲裁
4
0% / 50%
逾期
2
6%
工作中
7
开发者 7
等级
(1)
项目
2
0%
仲裁
2
0% / 50%
逾期
0
空闲
8
开发者 8
等级
(2)
项目
2
0%
仲裁
0
逾期
0
空闲
9
开发者 9
等级
(19)
项目
22
18%
仲裁
9
33% / 44%
逾期
3
14%
工作中
发布者： 1 代码
10
开发者 10
等级
(619)
项目
722
33%
仲裁
46
48% / 41%
逾期
14
2%
已载入
11
开发者 11
等级
(24)
项目
32
38%
仲裁
4
50% / 25%
逾期
5
16%
工作中
12
开发者 12
等级
(4)
项目
3
33%
仲裁
2
0% / 100%
逾期
0
空闲
13
开发者 13
等级
(2676)
项目
3414
68%
仲裁
77
48% / 14%
逾期
342
10%
空闲
发布者： 1 代码
14
开发者 14
等级
(2)
项目
3
0%
仲裁
0
逾期
0
空闲
15
开发者 15
等级
(1)
项目
0
0%
仲裁
1
0% / 100%
逾期
0
空闲
16
开发者 16
等级
(1)
项目
1
100%
仲裁
0
逾期
0
空闲
17
开发者 17
等级
(258)
项目
269
29%
仲裁
2
50% / 0%
逾期
3
1%
工作中
发布者： 2 代码
18
开发者 18
等级
(29)
项目
33
27%
仲裁
20
10% / 50%
逾期
11
33%
空闲
19
开发者 19
等级
(10)
项目
12
0%
仲裁
3
33% / 33%
逾期
0
空闲
20
开发者 20
等级
(298)
项目
478
40%
仲裁
105
40% / 24%
逾期
82
17%
已载入
发布者： 2 代码
21
开发者 21
等级
项目
0
0%
仲裁
0
逾期
0
空闲
22
开发者 22
等级
项目
0
0%
仲裁
0
逾期
0
空闲
23
开发者 23
等级
项目
0
0%
仲裁
0
逾期
0
空闲
相似订单
Ndugelo Ravhengani Bot 30+ USD
Create a bot that can trade and read indicators easy to read for first time users. Bot that can be used on a phone and connect to MT5. It should be easy to install or use on any device especially phone and laptop, preferably the bot that can run over night and controllable when needed
V3 PRO Auto-Scalper EA 40+ USD
//———————————————————————————————————————————————————————————————————— struct S_MCAV { double matureSum; double totalSum; double value; void Init () { matureSum = 0.0; totalSum = 0.0; value = 0.5; } void AddContext (int ctx) { totalSum += 1.0; if (ctx == 1) matureSum += 1.0; } void ApplyDecay (double rate) { matureSum *= rate; totalSum *= rate; } void Update () {

项目信息

预算
50+ USD