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mport pandas as pd
import numpy as np

def detecter_tendance(data):
    # Code pour détecter la tendance
    pass

def identifier_niveaux(data):
    # Code pour identifier les niveaux de support et de résistance
    pass

def calculer_stop_loss(tendance, support, resistance):
    # Code pour calculer les stop loss
    pass

def calculer_profils(tendance, support, resistance):
    # Code pour calculer les profils mport pandas as pd
import numpy as np

def detecter_tendance(data):
    # Code pour détecter la tendance
    pass

def identifier_niveaux(data):
    # Code pour identifier les niveaux de support et de résistance
    pass

def calculer_stop_loss(tendance, support, resistance):
    # Code pour calculer les stop loss
    pass

def calculer_profils(tendance, support, resistance):
    # Code pour calculer les profils import pandas as pd
import numpy as np

def detecter_tendance(data):
    # Code pour détecter la tendance
    pass

def identifier_niveaux(data):
    # Code pour identifier les niveaux de support et de résistance
    pass

def calculer_stop_loss(tendance, support, resistance):
    # Code pour calculer les stop loss
    pass

def calculer_profils(tendance, support, resistance):
    # Code pour calculer les profils from flask import Flask, render_template, request
from .models import detecter_tendance, identifier_niveaux, calculer_stop_loss, calculer_profils

app = Flask(__name__)

@app.route('/', methods=['GET', 'POST'])
def index():
    if request.method == 'POST':
        data = request.files['data']
        data = pd.read_csv(data)
        tendance = detecter_tendance(data)
        support, resistance = identifier_niveaux(data)
        stop_loss = calculer_stop_loss(tendance, support, resistance)
        profils = calculer_profils(tendance, support, resistance)
        return render_template('index.html', tendance=tendance, support=support, resistance=resistance, stop_loss=stop_loss, profils=profils)
    return render_template('index.html
    pass

파일:

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비슷한 주문
I’m looking for a developer that has already created or has experience in trading. That can build an EA/Indicator that buys and sells the market or indicates when to which in profitable of there own accord. Must have experience with trading to be able to create this without my assistance. I need someone who can build me something of their own knowledge or previous experience
8 cap prop firm passing 30 - 3000 USD
I am looking for an experienced MQL4/MQL5 HFT developer to build or optimize a High-Frequency Trading (HFT) Expert Advisor that can successfully pass proprietary trading firm challenges and perform consistently under live trading conditions with brokers such as 8cap or BlackBull Markets . The developer should have proven experience with HFT execution, ultra-low-latency trading, broker execution, slippage, spreads
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

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