Dear Developers:
I am looking for a script that will automatically draw
Support & Resistance Levels, that are published in
a spreadsheet (.xlsx format).
I think it will be best to have three scripts, which
will have essentially the same code, with minor differences.
I shall explain below --
I have the following requirements:
Monthly Levels
- Must be able to run on any financial instrument
- Read the values from Monthly spreadsheet
- Be able to run the script at least once a month
- Colour, Line type, and Line thickness must be amendable
- Default Resistance line = DeepSkyBlue, solid, 2
- Default Support line = Grey, solid, 2
- A single script to draw levels on ALL open charts
- If script is run, or re-run, all monthly lines are to be deleted,
and redrawn with the new, or same values
Weekly Levels
- Must be able to run on any financial instrument
- Read the values from Weekly spreadsheet
- Be able to run the script at least once a week
- Colour, Line type, and Line thickness must be amendable
- Default Resistance line = DeepSkyBlue, dash-dash (fine), 1
- Default Support line = Grey, dash-dash, 1
- A single script to draw levels on ALL open charts
- If script is run, or re-run, all weekly lines are to be deleted,
and redrawn with the new, or same values
Daily Levels
- Must be able to run on any financial instrument
- Read the values from Daily spreadsheet
- Be able to run the script at least once a day
- Colour, Line type, and Line thickness must be amendable
- Default Resistance line = DeepSkyBlue, dash-dot-dash, 1
- Default Support line = Grey, dash-dot-dash, 1
- A single script to draw levels on ALL open charts
- If script is run, or re-run, all monthly lines are to be deleted,
and redrawn with the new, or same values
A sample spreadsheet with the values, and fixed layout is attached.
Please write me should you require more information.
Hope to hear from you soon.
Sincerely,
Ben
Commandes similaires
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
Hello there Hpe you are doing good I am in search of a pine script expert developer who can build strategy in apudFlow in pinescript. Kinldy bid on this project if you can do this
I need a AI signal generating bot for forex trading that use the latest ai technology to track real time forex market, analyse and give signals. The bot should operate such that when i put it in a chart it will analyse the market, after several minutes it will display whether the trade is buying or selling. It should display the one minute, five minute,15minute, 30 minute, one hour, 4 hours and daily time frame
step by step and structure this into a full IEEE 830 / ISO/IEC/IEEE 29148 style Requirements Specification. This format will include: Introduction System Overview Functional and Performance Requirements Traceability Matrix (linking requirements to test cases) Verification and Validation Compliance Standards 1. Introduction 1.1 Purpose The purpose of this document is to define the technical requirements for the
i need an expert to help join 3 model i have in ninjatrader into one, kindly message me and i will be expecting from you and i need this work done in maximum of 4 days, so i need expert that can get it done
The Ai robot must help me with forex and I don't have money soon can the Ai robot give me some money and I will pay it back if the Ai robot does a good job making me rich
Strategy Development: Suggest a high-probability trading strategy based on Technical Analysis (using indicators like RSI, MACD, or Price Action). Risk Management: Explain how to calculate position sizing so I don't lose more than 1-2% of my capital per trade. Market Analysis: Teach me how to identify Support and Resistance levels and how to spot a trend reversal. Psychology: Give me 5 golden rules to maintain
MQL5 Expert Advisor Development (MT5) I need a professional MQL5 developer to create a custom Expert Advisor (EA) for MetaTrader 5 with high accuracy, low drawdown, and fast execution . 🔹 Strategy Requirements: Timeframe: Scalping-friendly (M1 / M5) Indicators Used: EMA 9 EMA 12 EMA 21 VWAP (as a trend filter) RSI (for trade confirmation) 🔹 Trade Logic: Buy and Sell entries based on EMA crossover + VWAP direction
Monthly >Previous month High and Low.High is Resistance and Low is Support level Daily > Demand and supply zones. Demand Below Support Level and Supply Above Resistance Level. 4HOUR >Up-Tren,Down-Trend and Cosolodation >Market Structure CHOCH,BOS >3 phase movement HH,HL and LL,LH. Entry
// Add this to your EA after ExportState() function void SendToBase44(const string state, const string dir, double entry, double sl, double tp) { string url = " https://preview-sandbox--ee0a32a725b788974de435e8cef40b7a.base44.app/api/functions/receiveEAState "; string headers = "Content-Type: application/json\r\n"; string json = "{" "\"symbol\":\""+_Symbol+"\","
Toutes les commandes
Règles
