MyGridBasket

Read-only basket analytics library for grid and averaging EAs. Real breakeven, what-if, stress test and stop-out distance. Sends no orders.

What it is
A library that reads your open positions and tells you the real state of a grid or averaging basket.
It does not trade. It sends no orders. It has no entry logic.
You call it from your own EA.

What it tells you
- Breakeven of the basket, with swap and commission counted
- The price where the basket nets a money amount you choose
- Where the average and the breakeven move if you add one more level
- How many lots bring the average to a price you choose
- Equity and margin level if price moves against the basket
- The same, with a grid that keeps adding levels
- How many points are left until stop-out

How to use
1. Put MyGridBasket.ex5 in MQL5/Libraries.
2. Add the import block below to your EA.
3. Create a basket handle, refresh it, read the numbers.
4. Destroy the handle in OnDeinit.

Example

int hBuy=-1;

int OnInit()
  {
   hBuy=MyGB_Create(_Symbol,MagicNumber,MYGB_BUY);   // magic -1 = every magic
   return (hBuy>=0) ? INIT_SUCCEEDED : INIT_FAILED;
  }

void OnDeinit(const int reason)
  {
   MyGB_Destroy(hBuy);
  }

void OnTick()
  {
   MyGB_Refresh(hBuy);
   double be = MyGB_Breakeven(hBuy);
   double tp = MyGB_TargetPrice(hBuy,50.0);     // net +50 in account currency
   double so = MyGB_StopOutDistance(hBuy);      // points to stop-out
  }

Conventions
Invalid handle or failed calculation: double returns EMPTY_VALUE, int returns -2, bool returns false.
Margin level is in percent. -1 means no margin is used.
Stop-out distance is in points. -1 means not reached in range, -2 means unknown.

Import block

#define MYGB_BUY  0
#define MYGB_SELL 1

#import "MyGridBasket.ex5"
int MyGB_Create(string symbol,long magic,int side);
void MyGB_Destroy(int h);
bool MyGB_Refresh(int h);
string MyGB_Version();
bool MyGB_IsHedging(int h);
string MyGB_Warning(int h);
string MyGB_Summary(int h);
int MyGB_Positions(int h);
double MyGB_Lots(int h);
double MyGB_AvgPrice(int h);
double MyGB_Breakeven(int h);
double MyGB_ClosePrice(int h);
double MyGB_DistToBreakevenPoints(int h);
double MyGB_Floating(int h);
double MyGB_Swap(int h);
double MyGB_EntryCommission(int h);
double MyGB_ExitCommission(int h);
bool MyGB_ExitCommissionKnown(int h);
double MyGB_NetResult(int h);
double MyGB_WorstPositionProfit(int h);
double MyGB_BestPositionProfit(int h);
double MyGB_LayerSpanPoints(int h);
void MyGB_SetExitCommissionPerLot(int h,double rate_per_lot);
void MyGB_ClearExitCommissionOverride(int h);
double MyGB_TargetPrice(int h,double target_money);
double MyGB_MoneyAtPrice(int h,double price);
double MyGB_LotsForTargetAverage(int h,double price,double target_avg);
double MyGB_WhatIfNewAverage(int h,double lot,double price);
double MyGB_WhatIfNewBreakeven(int h,double lot,double price);
double MyGB_WhatIfMarginLevel(int h,double lot,double price);
double MyGB_StressEquity(int h,double adverse_points);
double MyGB_StressMarginLevel(int h,double adverse_points);
int MyGB_StressStopOut(int h,double adverse_points);
double MyGB_GridStressEquity(int h,double adverse_points,double step_points,double first_lot,double lot_mult,double step_mult,int max_levels);
double MyGB_GridStressMarginLevel(int h,double adverse_points,double step_points,double first_lot,double lot_mult,double step_mult,int max_levels);
double MyGB_GridStressLots(int h,double adverse_points,double step_points,double first_lot,double lot_mult,double step_mult,int max_levels);
int MyGB_GridStressLevels(int h,double adverse_points,double step_points,double first_lot,double lot_mult,double step_mult,int max_levels);
int MyGB_GridStressStopOut(int h,double adverse_points,double step_points,double first_lot,double lot_mult,double step_mult,int max_levels);
double MyGB_StopOutDistance(int h);
double MyGB_StopOutDistanceGrid(int h,double step_points,double first_lot,double lot_mult,double step_mult,int max_levels);
double MyGB_NetLots(string symbol,long magic);
#import

Know the limits
- Made for hedging accounts. On netting accounts there is one position per symbol, so the basket is that position. A warning is set.
- Stop-out is evaluated only when your broker uses stop-out in percent. In money mode the result is unknown.
- Margin of simulated levels does not credit hedge offset between opposite positions. This errs on the safe side.
- Simulated levels fill exactly at their price. Spread, slippage and execution delay are not modelled.
- Exit commission is estimated from your own past closing deals on the symbol. If there are none it is counted as 0 and the library tells you.
- Other positions on the account are assumed unchanged during a stress test.
- A stress test is arithmetic. It is not a forecast. Real fills in a fast market are worse.
- Test it on a demo account with your broker's symbols before you rely on it.

Free. No account or symbol restrictions. No warranty.
Version 1.00 is the first release.
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A Simple Moving Average (SMA) is a statistical indicator used in time series analysis. This indicator represents the arithmetic mean of a sequence of values over a specific period of time. SMA is used to smooth short-term fluctuations in data, helping to highlight the overall trend or direction of changes. This aids analysts and traders in better understanding the general dynamics of the time series and identifying potential trends or changes in direction.  More information you can find in Wiki 
Cette bibliothèque vous permettra de gérer les transactions en utilisant n'importe lequel de vos EA et elle est très facile à intégrer sur n'importe quel EA que vous pouvez faire vous-même avec le code de script mentionné dans la description ainsi que des exemples de démonstration en vidéo qui montrent le processus complet. - Placer des ordres Limit, SL Limit et Take Profit Limit - Placer les ordres Market, SL-Market, TP-Market - Modifier l'ordre limite - Annuler la commande - Commandes de
Hello everyone! I am a professional MQL programmer , Making EAs, Indicators and Trading Tools for my clients all over the world. I build 3-7 programs every week but I seldomly sell any ready-made Robots. Because I am fastidious and good strategy is so few...  this EA is the only one so far I think its good enough to be published here.  As we all know, the Ichimoku indicator has become world popular for decades, but still, only few people knows the right way of using it, and if we check the clo
Applying these methods, I managed to arrive at a nuanced conclusion that is crucial to understanding the importance of unique strategies in contemporary trading. Although the neural network advisor showed impressive efficiency in the initial stages, it proved to be highly unstable in the long run. Various factors such as market fluctuations, trend changes, external events, etc. cause its operation to be chaotic and eventually lead to instability. With these experiences, I accepted the challenge
Introducing "TG Risk Service Manager" — your comprehensive toolkit for swift and precise risk management and lot size calculations in the dynamic world of trading. Designed to streamline development processes and enhance trading strategies, this indispensable library equips developers with essential tools for optimizing risk assessment and trade profitability. Metatrader4 Version |  All Products  |  Contact   Key Features: Efficient Lot Size Calculation : Harness the power of precise lot size c
Introducing "TG Trade Service Manager" — your all-in-one solution for seamless trade management in both MQL4 and MQL5 environments. With a focus on speed, reliability, and convenience, this powerful library simplifies the complexities of trade execution and management, empowering developers with a single interface for enhanced efficiency. Metatrader4 Version   |   All Products   |   Contact   Key Features: Unified Interface : TG Trade Service Manager" provides a unified interface for   MQL4   an
Cette bibliothèque est proposée comme un moyen d'utiliser directement les API d'OpenAI sur MetaTrader de la manière la plus simple possible. Pour plus d'informations sur les capacités de la bibliothèque, lisez l'article suivant : https://www.mql5.com/en/blogs/post/756098 The files needed to use the library can be found here: Manual IMPORTANT : Pour utiliser l'EA, vous devez ajouter l'URL suivante pour permettre l'accès à l'API OpenAI : comme montré sur les images ci-jointes Pour utiliser la bibl
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