Specifiche
The task is to create a script / expert to analyze the results of trading on historical data.
1. Data sources – the terminal history and the report of the strategy tester (selected in the settings).
2. Initial parameters:
- data source (file name in case of strategy tester)
- date range for analysis
- the period of "post-analysis"
3. Calculated parameters:
a) for each transaction
- MAE (Maximum Adverse Excursion) of two types, including the ability to analyze the price behavior during a certain period after the closing of the transaction (specified in the parameters)
- MFE (Maximum Favorable Excursion) of two types, including the possibility of analyzing the behavior of the price during a certain period after the closing of the transaction (specified in the parameters)
- HPR (holding period returns)
- enter efficiency *
- close efficiency
- transaction efficiency
b) summary
- Sharp Ratio
- Z-score
- AHPR
4. The final result is in the form of a csv file, with a table containing rows with data for each transaction, including columns:
- tickets No
- type of trade
- volume of the trade
- the Open price
- the Close price
- opening time
- closing time
- maximum price per trade
- minimum price per trade
- time of the maximum price after the start of the trade in minutes
- time of the minimum price after the beginning of the trade in minutes
- entrance efficiency *
- Exit efficiency *
- efficiency of the trade *
- MAE
- MFE
- HPR
- MAE "extended" (on the range of "post-analysis" after the close of the transaction)
- MFE "extended" (on the range of "post-analysis" after the close of the transaction)
- time of the maximum price after the end of the transaction in minutes within the range of "post-analysis"
- the time of the minimum price after the end of the transaction in minutes within the range of "post-analysis"
In the end, the summary data is placed
* The efficiency of the entrance is calculated by the formulas:
for long positions
enter_efficiency = (max_price_trade-enter_price) / (max_price_trade-min_price_trade);
for short positions
enter_efficiency = (enter_price-min_price_trade) / (max_price_trade-min_price_trade);
The efficiency of the exit is calculated by the formulas:
for long positions
exit_efficiency = (exit_price - min_price_trade) / (max_price_trade - min_price_trade);
for short positions
exit_efficiency = (max_price_trade - exit_price) / (max_price_trade - min_price_trade);
The efficiency of the transaction is calculated by the formulas:
for long positions
trade_efficiency = (exit_price-enter_price) / (max_price_trade-min_price_trade);
for short positions
trade_efficiency = (enter_price-exit_price) / (max_price_trade-min_price_trade);
general formula
trade_efficiency = enter_efficiency + exit_efficiency-1;
Con risposta
1
Valutazioni
Progetti
144
46%
Arbitraggio
19
42%
/
16%
In ritardo
32
22%
Gratuito
Ordini simili
Everytick Account
30 - 50 USD
ChatGPT said can do I want to make a symbol for XAUUSD (or other symbols) that can run on live, but it does not run by realtick, I need it run by everytick ---------------- I need to create a “synthetic symbol” (custom symbol) in MT4/MT5 with the following features: Realtime synthetic symbol The synthetic symbol must receive price data from a real symbol (e.g., XAUUSD, EURUSD…). Whenever the real symbol receives a
Wyckoff Spring EA Development Guide 📋 PROJECT OVERVIEW EA Concept: A sophisticated EURUSD trading robot based on Wyckoff Method principles, specifically detecting Spring & Upthrust patterns with advanced risk management and hedging capabilities. 🎯 CORE TRADING RULES 1. PATTERN DETECTION SYSTEM Spring Pattern (Long Entry): text CONDITIONS: 1. Identify Support Level (recent swing low) 2. Price breaks BELOW
Informazioni sul progetto
Budget
30+ USD
Scadenze
da 3 a 7 giorno(i)