I will code your EAs and Indicators for no charge

Great!! oh please i forgot to add one aspect can alert be added to it when price is ABOVE OR BELOW THE PIVOT AT THE OPENING OF A NEW DAY. Thanks so much for this more coding knowledge bro.

any good inside bar break push notification indicator availble? thanks
please can you guys make this push alert fires when inside bar breaks,this gives alert when bar is formed,i need alert when it breaks the upper of lower line,so pleae also mention in alert upper or lower level broke,thanks

Thanks @BestTraderEv
You've been a Great Helper and a source of inspiration to me.
The indi works as expected.
Only one drawback - the auto refresh has a problem. While other indis on same chart are refreshing to the last closed candle, it will be several candles behind until I do a manual refresh of the chart

I am sorry, but your AI generated code makes little to no sense.
I can't fix anything when I don't even know what the idea is exactly.

...thanks a bunch
I appreciate

here was wrong bars counter...

requesting for an indicator to show performance of my last 5 closed trades to be adjusted in any corner of the screen

this is for mt4

Hello programmers
Is it possible to convert this code to MT5?
If it's a significant undertaking, a simple answer would suffice.

Good day Sagat.
Thank you for the conversion.

Do not change the file name!!!
The MT4 version has been modernised to be MQL5 compatible.

All credits have been retained:

......thanks Tankk
I appreciate

Hello, BestTraderEv
Thank you very much for your work and time.
I can only say keep up the good work, you have my respect.

can someone update this code with no arrows... which are appearing with every candle.

They are EXCEPTIONAL PEOPLE. In the WAY they HELP those who DON'T KNOW. INCALCULABLE VALUE.

Arrows are appearing on every candle which meets the condition, and that's exactly what is happening, because the coder didn't code any condition which would filter only the actual break candle.
Also, the trendlines redraw, and the arrows don't update.

hello admin can you plz convert this indicator and ea mq4 to mq5 version

RSI & CCI Switchable Period Indicators – v3 Update (MT4 & MT5)
Improved real-time responsiveness — the indicator line now updates faster on every tick.

Thanks so much man... really appreciated for your time.

I input your text into Grok and asked for a suggestion for you... The AI came back with this answer in about 5 seconds... Not a bad place to begin. This EA can be converted to MT4 if you would prefer.... Since I run MT4, I did not test this.... This is a great way of getting started with Grok or Claude or Chat GPT... compile the file then tweak it to your liking.... iterate with the AI until it sings. Grok wrote"

I appreciate your curiosity about algorithmic trading—it's a fascinating field, and getting hands-on with transparent code is the best way to learn. You're spot on about the demo vs. live discrepancies; things like variable spreads, slippage, execution delays, and even broker-specific quirks (like order filling modes) often make the difference. Demos run on ideal conditions, while live accounts deal with real market liquidity and volatility, especially in scalping where every pip counts.
For educational purposes, I'll suggest a simple, transparent scalping strategy for XAUUSD that you can study and experiment with. This isn't something I "personally use" (as an AI, I don't trade), but it's a basic example inspired by common open-source approaches. We'll base it on a momentum-based entry using RSI (Relative Strength Index) for overbought/oversold conditions, combined with a short-term moving average filter to catch quick reversals on low timeframes like M1 or M5. Risk management will include fixed lot sizing, stop-loss (SL), take-profit (TP), and a max drawdown check to avoid overtrading.

Key Logic Breakdown (for Learning):

1. Entry Conditions:
   1. Buy: RSI < 30 (oversold) and price above a 5-period EMA (indicating short-term uptrend).
   2. Sell: RSI > 70 (overbought) and price below the 5-period EMA.
   3. Only trade during high-liquidity sessions (e.g., London/New York overlap) to mimic real conditions.

   
   

2. Risk Management:
   1. Fixed lot size: 0.01 lots per trade (adjust based on account size; aim for 1-2% risk per trade).
   2. SL: 10-15 pips (tight for scalping, but protects against spikes in gold volatility).
   3. TP: 5-10 pips (scalp for small, quick profits).
   4. No martingale or grid—keep it simple to avoid compounding losses.
   5. Max open trades: 1 at a time to study execution without overlap.
   6. Trailing stop: Optional, but not included here for simplicity.

   
   

3. Execution in Real Conditions:
   1. Use MetaTrader 4/5 (MT4/MT5) for this EA. Test on a demo first, then micro-live account.
   2. Backtest with 99% modeling quality data (use Tick Data Suite or similar for accuracy).
   3. Forward-test on live to see slippage—gold can move fast, so expect requotes.
   4. Monitor logs for errors like "trade context busy" or invalid stops.

   
   

This is purely experimental/educational—don't deploy on a real account without thorough testing and your own modifications. Past performance isn't indicative of future results, and scalping gold carries high risk due to news events (e.g., Fed announcements) that can cause massive swings.
Sample MQL5 Code for the EA
Here's a basic MQL5 script you can copy-paste into MetaEditor (in MT5), compile, and attach to an XAUUSD chart. Study the comments to understand each part. MQL5 is more modern than MQL4, with better handling for async orders.

//+------------------------------------------------------------------+
//| Simple XAUUSD Scalper EA - Educational Example |
//| For MT5 - Attach to M1 or M5 XAUUSD chart |
//+------------------------------------------------------------------+
#property copyright "Educational Example"
#property version "1.00"
#property strict
// Input parameters for customization
input double LotSize = 0.01; // Fixed lot size
input int SL_Pips = 15; // Stop loss in pips
input int TP_Pips = 8; // Take profit in pips
input int RSI_Period = 14; // RSI period
input int EMA_Period = 5; // EMA period for filter
input double RSI_Overbought = 70; // RSI overbought level
input double RSI_Oversold = 30; // RSI oversold level
input int MagicNumber = 12345; // Unique ID for orders
// Global variables
double PointValue; // Pip value adjustment for XAUUSD (usually 0.01)
//+------------------------------------------------------------------+
//| Expert initialization function |
//+------------------------------------------------------------------+
int OnInit()
{
// Adjust for symbol's point value (XAUUSD is 0.01 per pip)
PointValue = MarketInfo(Symbol(), MODE_POINT) * 10; // Normalize to pips
if (PointValue == 0) {
Print("Error: Invalid symbol point value.");
return(INIT_FAILED);
}
return(INIT_SUCCEEDED);
}
//+------------------------------------------------------------------+
//| Expert tick function |
//+------------------------------------------------------------------+
void OnTick()
{
// Check if no open orders (max 1 trade)
if (OrdersTotal() > 0) return;
// Get indicators
double rsi = iRSI(NULL, 0, RSI_Period, PRICE_CLOSE, 0);
double ema = iMA(NULL, 0, EMA_Period, 0, MODE_EMA, PRICE_CLOSE, 0);
double close = Close[0];
// Time filter: Trade only during London/NY overlap (e.g., 8-12 GMT, adjust as needed)
MqlDateTime timeStruct;
TimeToStruct(TimeCurrent(), timeStruct);
if (timeStruct.hour < 8 || timeStruct.hour > 16) return; // Example: 8-16 GMT
// Buy condition
if (rsi < RSI_Oversold && close > ema) {
double sl = Ask - SL_Pips * PointValue;
double tp = Ask + TP_Pips * PointValue;
int ticket = OrderSend(Symbol(), OP_BUY, LotSize, Ask, 3, sl, tp, "Buy Scalp", MagicNumber, 0, Blue);
if (ticket < 0) Print("Buy order failed: ", GetLastError());
}
// Sell condition
if (rsi > RSI_Overbought && close < ema) {
double sl = Bid + SL_Pips * PointValue;
double tp = Bid - TP_Pips * PointValue;
int ticket = OrderSend(Symbol(), OP_SELL, LotSize, Bid, 3, sl, tp, "Sell Scalp", MagicNumber, 0, Red);
if (ticket < 0) Print("Sell order failed: ", GetLastError());
}
}
//+------------------------------------------------------------------+
//| Expert deinitialization function |
//+------------------------------------------------------------------+
void OnDeinit(const int reason)
{
// Cleanup if needed
}


How to Get Started and Learn More:

1. Setup: Download MT5 from a broker like ICMarkets or Pepperstone (they have good gold spreads). Create a demo account.
2. Testing: Use the Strategy Tester in MT5. Download historical data for XAUUSD from 2020-2026 for backtesting. Pay attention to "spread" settings—set to current (e.g., 20-30 points for gold).
3. Study Execution: Enable journaling in MT5 to log every tick/order. Compare demo vs. live by running parallel.
4. Enhancements for Learning: Add trailing stops, break-even logic, or news filters (use iCustom for external indicators). Experiment with parameters via optimization.
5. Resources:
   1. MQL5 Documentation: Great for understanding functions like OrderSend().
   2. Books: "Expert Advisor Programming for MetaTrader 5" by Andrew R. Young.
   3. Forums: Forex Factory threads on EA coding, or MQL5.com community for open-source examples.
   4. Risk Warning: This is for education—trading involves real loss potential. Start with paper trading.

   
   

If you tweak this or run into issues, share details, and I can help refine the logic. Happy learning!

Okay, I felt bad just dumping the code without testing so I had Grok convert it to MT4 for me to test... It compiled the first time and 5 minutes of optimizing using 99% modeling quality ticks from Tickstory (Ducascopy Data for xauusd, 1 min ) I got this result... 1 week of 1 min charts feb 4 to feb 11, 2026. I commented out the restricted trade hours...

Bars in test 354373
Ticks modelled 76685018
Modelling quality n/a
Mismatched charts errors 0
Initial deposit 1000.00
Spread 2
Total net profit 3376.00
Gross profit 13716.00
Gross loss -10340.00
Profit factor 1.33
Expected payoff 1.38
Absolute drawdown 10.02
Maximal drawdown 350.32 (8.01%)
Relative drawdown 13.10% (279.00)
Total trades 2449
Short positions (won %) 2449 (15.56%)
Long positions (won %) 0 (0.00%)
Profit trades (% of total) 381 (15.56%)
Loss trades (% of total) 2068 (84.44%)
Largest
profit trade 36.00
loss trade -5.00
Average
profit trade 36.00
loss trade -5.00
Maximum
consecutive wins (profit in money) 4 (144.00)
consecutive losses (loss in money) 36 (-180.00)
Maximal
consecutive profit (count of wins) 144.00 (4)
consecutive loss (count of losses) -180.00 (36)
Average
consecutive wins 1
consecutive losses 6

Work some more on it and you can get it working to your liking. Remember there will be latency differences in live demo testing vs stratgy tester....
The real work comes in optimizing ... in this case the average profit trade was $36 and avg loss was $5... so it was profitable with such a low % of winning trades. Good luck.