Termos de Referência

""" Wick Reversal Strategy — core logic ===================================== Rules (as specified): - Timeframe: 15-minute candles - Entry: candle wick >= WICK_MULTIPLIER x body -> signal candle - long lower wick -> enter LONG at next candle's open - long upper wick -> enter SHORT at next candle's open - Exit: an opposite-direction wick candle forms while in a position - Stop-loss: just beyond the signal candle's extreme (high/low) - Position sizing: risk RISK_PCT of account equity per trade """ from dataclasses import dataclass from enum import Enum import pandas as pd class Signal(Enum): NONE = "none" LONG_WICK = "long_wick" # long lower wick -> bullish signal SHORT_WICK = "short_wick" # long upper wick -> bearish signal @dataclass class StrategyParams: wick_multiplier: float = 2.0 # wick must be >= this x body size risk_pct: float = 0.05 # fraction of equity risked per trade stop_buffer: float = 0.0 # extra buffer beyond wick extreme (in price units) def classify_candle(open_: float, high: float, low: float, close: float, params: StrategyParams) -> Signal: """ Classify a single candle as a wick signal or not. body = |close - open| upper_wick = high - max(open, close) lower_wick = min(open, close) - low """ body = abs(close - open_) upper_wick = high - max(open_, close) lower_wick = min(open_, close) - low # Guard against a zero/near-zero body (doji) inflating the ratio infinitely. # Use a tiny epsilon floor so a real body of 0 doesn't produce a false signal # from noise, but still allows genuine doji-with-wick setups to qualify. epsilon = 1e-9 effective_body = max(body, epsilon) is_lower_signal = lower_wick >= params.wick_multiplier * effective_body and lower_wick > 0 is_upper_signal = upper_wick >= params.wick_multiplier * effective_body and upper_wick > 0 # If both sides qualify (rare, e.g. near-zero body with wicks both sides), # take the larger wick as the dominant signal. if is_lower_signal and is_upper_signal: return Signal.LONG_WICK if lower_wick >= upper_wick else Signal.SHORT_WICK if is_lower_signal: return Signal.LONG_WICK if is_upper_signal: return Signal.SHORT_WICK return Signal.NONE def position_size(equity: float, entry_price: float, stop_price: float, params: StrategyParams) -> int: """ Shares = (equity * risk_pct) / |entry - stop| Returns whole shares (floored). Returns 0 if stop distance is invalid. """ risk_amount = equity * params.risk_pct stop_distance = abs(entry_price - stop_price) if stop_distance <= 0: return 0 shares = int(risk_amount // stop_distance) return max(shares, 0) def annotate_signals(df: pd.DataFrame, params: StrategyParams) -> pd.DataFrame: """ Adds a 'signal' column to an OHLC dataframe. Expects columns: open, high, low, close """ df = df.copy() df["signal"] = df.apply( lambda row: classify_candle(row["open"], row["high"], row["low"], row["close"], params).value, axis=1, ) return df

Respondido

1
Desenvolvedor 1
Classificação
(1)
Projetos
1
0%
Arbitragem
0
Expirado
0
Livre
Publicou: 4 códigos
2
Desenvolvedor 2
Classificação
(3)
Projetos
2
0%
Arbitragem
1
0% / 0%
Expirado
0
Livre
3
Desenvolvedor 3
Classificação
(62)
Projetos
90
29%
Arbitragem
24
13% / 58%
Expirado
7
8%
Trabalhando
4
Desenvolvedor 4
Classificação
(6)
Projetos
8
38%
Arbitragem
1
0% / 100%
Expirado
0
Livre
5
Desenvolvedor 5
Classificação
Projetos
0
0%
Arbitragem
0
Expirado
0
Livre
6
Desenvolvedor 6
Classificação
Projetos
0
0%
Arbitragem
0
Expirado
0
Livre
7
Desenvolvedor 7
Classificação
(22)
Projetos
28
7%
Arbitragem
9
33% / 33%
Expirado
1
4%
Trabalhando
8
Desenvolvedor 8
Classificação
(22)
Projetos
30
20%
Arbitragem
8
63% / 13%
Expirado
9
30%
Livre
9
Desenvolvedor 9
Classificação
(298)
Projetos
478
40%
Arbitragem
105
40% / 24%
Expirado
82
17%
Carregado
Publicou: 2 códigos
10
Desenvolvedor 10
Classificação
(29)
Projetos
36
39%
Arbitragem
0
Expirado
2
6%
Livre
11
Desenvolvedor 11
Classificação
(49)
Projetos
74
18%
Arbitragem
30
17% / 53%
Expirado
31
42%
Livre
12
Desenvolvedor 12
Classificação
Projetos
0
0%
Arbitragem
0
Expirado
0
Livre
13
Desenvolvedor 13
Classificação
Projetos
0
0%
Arbitragem
0
Expirado
0
Livre
14
Desenvolvedor 14
Classificação
Projetos
0
0%
Arbitragem
0
Expirado
0
Livre
15
Desenvolvedor 15
Classificação
Projetos
0
0%
Arbitragem
0
Expirado
0
Livre
Publicou: 2 códigos
16
Desenvolvedor 16
Classificação
Projetos
0
0%
Arbitragem
0
Expirado
0
Livre
17
Desenvolvedor 17
Classificação
(121)
Projetos
134
66%
Arbitragem
36
25% / 56%
Expirado
22
16%
Livre
Publicou: 10 códigos
18
Desenvolvedor 18
Classificação
Projetos
0
0%
Arbitragem
0
Expirado
0
Livre
19
Desenvolvedor 19
Classificação
Projetos
0
0%
Arbitragem
0
Expirado
0
Livre
20
Desenvolvedor 20
Classificação
Projetos
1
0%
Arbitragem
0
Expirado
0
Livre
Publicou: 11 códigos
21
Desenvolvedor 21
Classificação
Projetos
0
0%
Arbitragem
0
Expirado
0
Livre
22
Desenvolvedor 22
Classificação
Projetos
0
0%
Arbitragem
0
Expirado
0
Livre
23
Desenvolvedor 23
Classificação
Projetos
0
0%
Arbitragem
0
Expirado
0
Livre
24
Desenvolvedor 24
Classificação
Projetos
0
0%
Arbitragem
0
Expirado
0
Livre
25
Desenvolvedor 25
Classificação
Projetos
0
0%
Arbitragem
0
Expirado
0
Livre
26
Desenvolvedor 26
Classificação
Projetos
0
0%
Arbitragem
0
Expirado
0
Livre
Publicou: 2 códigos
Pedidos semelhantes
I have a Telegram signal bot that trades SPX 0DTE options. Each signal includes: entry time, strike, entry price range, stop (~45% of entry), stepped targets (T1..T10, each step ~50% of entry), and a cancel rule. I have the full archive of its signals and its daily chart images (6 support/resistance lines). Task: Build a Python bot that produces the same entries as the original bot in real time and sends them to
Hello, I need a high-quality, reliable, and well-coded Expert Advisor (EA) for MetaTrader 5. The code must be clean, without errors, and optimized for safe trading. The robot needs to trade based on basic technical indicators. Every trade must have a strict Stop Loss and Take Profit for risk management. Please apply only if you are an experienced MT5 developer with a high rating and clean coding history. Best
I'm looking for a developer to build a simple cloud-based monitoring and alert system for a trading account whose performance statistics are displayed on a third-party website. The system should: 1. Monitor the account's balance, equity and open positions. 2. Calculate the current floating drawdown as a percentage of account balance. 3. Send a single alert, preferably via WhatsApp or alternatively email, when
Elektra Trading Robot 100 - 200 USD
Elektra Trading Robot is an automated Forex trading system designed to analyze market conditions execute trades according to predefined trading strategies. It aims to identify potential trading opportunities, manage trading positions, and apply risk management rules to help protect trading capital. The robot is designed for real-account trading and focuses on consistency, disciplined execution, and efficient trade
I need an already developed EA with proven ability to grow small accounts for day trading. It can trade any specific instrument like gold, EURUSD or more than one instrument. Any strategy is welcomed, including scalping in lower timeframes A test version is required before concluding the deal or being selected. Only those with ready products apply No fake EAs needed
Forex Hunter MT5 30 - 250 USD
ثبت طلبك في مواصفات البوت الثاني كذا: الجودة والأمان أهم من السعر، وما يدخل إلا إذا الفرصة قوية، مع حماية عند الخسائر وانقطاع الاتصال وارتفاع السبريد، وتشغيل مستمر على سيرفر، مع اختبارات إلزامية قبل أي تشغيل حقيقي. بهذه الصيغة يصير يشتغل وأنت مرتاح بالِك، لكنه يوقف تلقائيًا وقت عطلة السوق أو أي خلل. بس أكون واضح معك: ما في بوت يضمن عدم الخسارة، خصوصًا بالمضاربات السريعة، هدفنا نقلل المخاطر ونمنع الخسائر غير المنضبطة
SMC Bot Creation 350 - 550 USD
Hello, I am interested in developing a professional MT5 Expert Advisor similar in functionality and technical sophistication to your reference product, Institutional SMC Robot: https://www.mql5.com/en/market/product/187011 I want to develop my own independent EA based on advanced Smart Money Concepts (SMC), with a strong focus on institutional price action, liquidity and market structure. The key functionalities I
(I can't pay 30 for this of course if you can just help.me solve this problem I would appreciate you )It was doing everything perfectly until yesterday this happened this is a python file that copies from telegram Iand send to ea signal if you have any idea what to do or why this happened please tell me
PROJECT: BYBIT PUMP & DUMP EARLY DETECTION ENGINE Fixed Budget: USD $1,000 – Complete Project I am looking for an experienced quantitative trading developer to design, develop, validate and deliver a professional standalone Python 3.12 module for detecting early pump and dump movements on Bybit USDT perpetual futures. IMPORTANT: This is NOT an MT4/MT5 indicator, Expert Advisor or a request to build a complete trading
​I am looking for an experienced MQL5 developer to build a fully automated MetaTrader 5 Expert Advisor (EA) optimized primarily for XAUUSD (Gold), featuring a clean Tkinter-style telemetry dashboard control concept or customizable input parameters. ​1. Core Strategy Rules (Full-Body Engulfing) ​Signal Identification: The EA must scan completed candles across multiple selectable timeframes (e.g., 1M, 5M, 15M, 30M, 1H)

Informações sobre o projeto

Orçamento
30+ USD