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SP500 Pips Hunter MT4

The SP_15_841517662_S_BB_CF_SQX is an algorithmic trading strategy for MetaTrader, tested on SP using the M15 timeframe from December 7, 2017, to June 2, 2023. There is no need to set up parameters, all settings are already optimized and fine-tuned.


Recommended broker RoboForex because of EET timezone.


You can find the strategy source code for StrategyQuant at the link: http://quantmonitor.net/listing/sp500-pips-hunter/


Key details are:


MagicNumber: 841517662
Main Chart: Current symbol and timeframe

Trading Options
Weekend Trading: Allowed (Friday 00:38 – Sunday 00:38)
Daily Exit: Disabled (15:00)
Friday Exit: Enabled at 19:00
Max Trades/Day: No limit
Stop Loss (SL) and Profit Target (PT): No predefined limits

Entry Signals
Long Entry: Triggered when the Open is above the Linear Regression (period 92) after opening below it, and the bar opens above the upper band of the Keltner Channel (period 20, factor 2).
Short Entry: Triggered when the bar opens below the highest low of the last 40 bars after opening above it, and the bar closes below the Simple Moving Average (period 30).

Entry Rules
Long Entry: Opens long orders at the upper band of Bollinger Bands (period 91, deviation 1.88) Stop, valid for 71 bars, with a SL of 0.5% and a trailing stop of 1.8 times the ATR(67), activated at 4.9 times the ATR(92).
Short Entry: Opens short orders at the lower band of Bollinger Bands (period 97, deviation 8.26) Stop, valid for 21 bars, with a SL of 0.5% and a trailing stop of 3.3 times the ATR(251), activated at 2.1 times the ATR(202).

Exit Rules
Long Exit: Closes full position if market is long and no LongExitSignal is active.
Short Exit: Closes full position if market is short and no ShortExitSignal is active.

Features

  • Each deal is protected by stop orders (Stop Loss and Take Profit).
  • AI based strategy
  • Both a fixed lot and a free margin percentage are used.
  • No martingale, no grid, no scalp.
  • No excessive consumption of CPU resources.
  • User-friendly settings.
  • All settings optimized, ready for real trading.
  • Long-term strategy. - you need patinet, startegy makes a few trades per month and picks up only the best opportunities on the market.




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Current price of $50 for 2  more copies! Next price is: $85 Live Signal : Click here  -- Don't buy a fake backtest, get a real strategy on a real signal!  After purchase, If you genuinely like this robot, you can receive EA Interceptor for Free ! Contact me for more information regarding this BONUS ! EA TOP G  is a multi-currency expert advisor  based on trend following . It uses a hedge system with a very good risk management. It's an ideal candidate for CENT accounts and big balances. It
Live Signal-1 :   Click here MT5 Version :   Click Here Get Quantum Pip for free (for 2 trade accounts) -> contact me after purchase Welcome to Nasdaq Algo Trading This EA (Expert Advisor) is created and designed by a team with over 13 years of programming and trading experience. The EA focuses on developing a system that can deliver long-term and stable profits. It employs risk-free strategies, avoiding Martingale, Grid, and Hedging methods, as well as strategies using excessively long sto
OverPower
Inrexea Limited
5 (2)
The OP Trading Robot , a cutting-edge development by OpenEA, is a fully automated 4th generation InrexEA DB system designed to excel in the dynamic forex market. Leveraging advanced algorithms, this robot is adept at learning from market trends, particularly focusing on the EURUSD and GBPUSD pairs. Drawing inspiration from the best features of the retired Ea YOLO Diamond Hands, it offers enhanced trade quality protection. Remarkably versatile, the OverPower Trading Robot is compatible with any
Boring Pips MT4
Thi Thu Ha Hoang
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Have you ever wondered why most expert advisors are not effective in live trading, despite their perfect backtest performance? The most likely answer is Over-fitting . Many EAs are created to ‘learn’ and adapt perfectly to the available historical data, but they fail to predict the future due to a lack of generalizability in the constructed model. Some developers simply don't know about the existence of over-fitting, or they know but don't have a way to prevent it. Others exploit it as a tool t
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