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Price Action Day Trader


Special time limited offer: BUY for 70 USD.


Be a market analyst, not just a trader!


Stop wasting time by round-the-clock market mionitoring. Do your market analysis, set trading range and market sentiment for a day session and let this EA trade for you!

It was created to help all day traders using price action to distance themselves from the emotional influence caused by instant market monitoring and routine decisions to open and close trades which is the source of most trading mistakes.

Price Action Day Trader enables focusing exclusively on daily high-level market analysis, while the ongoing tactical decision-making is taken care of automatically.

EA works with trading range and market sentiment which must be set by user for every day session. This enables to adjust EA to current market conditions on daily basis.

Trading range is an area you plan to trade within in a daily session. Market sentiment then determines which trading direction is preffered for particular trading session (Buy, Sell or both).

EA identifies bullish price rejections in lower half of trading range and buys towards top of range. In upper half of trading range it identifies bearish price rejections and sells towards bottom of trading range.

Top of trading range or range maximum is a maximal sell price for day session (highest price below which it is still worthwhile to sell), range minimum is a minimal buy price (lowest price above which it is still worthwhile to buy).

EA buys in lower half of trading range and sells in higher half trading range, depending on market sentiment. Line marking center of trading range and separanting "buy and sell areas" is called balance point.

Market sentiment determines what types of trades are allowed during trading session. Buy sentiment means that buyers control the market and therefor EA is focused only on buy trading signals. Similarly in Sell market sentiment sellers are expected to control the market and EA picks only sell signals. Consolidation then means that there is no signifficant sentiment in the market and EA accepts both buy and sell trading signals. It is assumed that buyer and sellers are more or less in balance.

Trading signal

Trading signal consists of market sentiment, correct position of market price within trading range and confirmation by price rejection. Rejection is combination of fractal with price action pattern engulfing or pinbar.
  • BUY:
    • Market sentiment is BUY or Consolidation.
    • Price is below balance point.
    • One of two following situations occurs
      1. Price rejection is formed near (within stop loss limit) range minimum. Range minimum is then a stop loss for potential buy trade.
      2. For newly formed price rejection EA is able to find previous, lower price rejection. If previous price rejection is within stop loss limit from market price, it is then a stop loss for new buy trade.
  • SELL:
    • Market sentiment is SELL or Consolidation.
    • Price is above balance point.
    • One of two following situations occurs
      1. Price rejection occurs near (within stop loss limit) range maximum. Range maximum is then a stop loss for potential sell trade.
      2. For newly formed price rejection EA is able to find previous, higher price rejection. If previous price rejection is within stop loss limit from market price, it is then a stop loss for potential buy trade.

Stop loss

Stop loss is either boundary of trading range (range minimum for buy, range maximum for sell) or in case of double rejection it is previous price rejection.

Another alternative for managing risk and protect profits is to use trailing stop.

Target

Target of a trade is by default opposite boundary of trading range. If target is not set, trade lasts until end of trading session (see input parameter Target in Trading session section).

User manual

This is only high level description. Detailed manual including list of input parameters is here.

Demo

Before installing demo and testing this EA, please read section Backtesting in very end of user manual linked above. There is attached csv file with bulk market data as well as description how to use it with EA in Strategy tester to get best possible understanding of how EA works.

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Live Signal:  https://www.mql5.com/en/signals/2233179 Gold Mana   is developed with over a year of intense research and testing. This expert advisor employs multi-timeframe volatility measurements, analyses intentions of market participants and anticipate price movements before they occur with help candlestick patterns, and supply & demand analysis for accurate entries that are highly reactive to market price movements of Gold,   breaking out at critical price levels .  It comes with dif
Gold Trade Pro MT5
Profalgo Limited
4.56 (32)
LAUNCH PROMO: Only a few copies left at current price! Final price: 990$ Get 1 EA for free (for 2 trade accounts) -> contact me after purchase Ultimate Combo Deal   ->   click here Live signal:   https://www.mql5.com/en/signals/2084890 Live Signal high risk :  https://www.mql5.com/en/signals/2242498 Live Signal Set Prop Firm Set File JOIN PUBLIC GROUP:   Click here Parameter overview Gold Trade Pro joins the club of Gold trading EA's, but with one big difference: this is a real trading stra
Dark Algo MT5
Marco Solito
5 (54)
Last copy at 399$ -> next price 499$ Dark Algo  is a fully automatic Expert Advisor for   Scalping   Trading on   Eurusd . This Expert Advisor is based on the latest generation of   algorithm  and is highly customizable to suit your trading needs. If you   Buy this Expert   Advisor you can   write a feedback   at market and   get   a second EA for   Free , for More info contact me The basic strategy of this EA is built on a sophisticated   algorithm  that allows it to   identify   and   follow m
Bonnitta Gold MT5
Ugochukwu Mobi
5 (2)
Bonnitta Gold   is based on personal Bonnitta Trading Indicator and a very advanced secretive trading algorithm. The strategy of   Bonnitta Gold  is a combination of a  secretive custom indicator , Trendlines, Support & Resistance levels and most important secretive trading algorithm mentioned previously. BONNITTA GOLD NEEDS HIGHER LEVERAGE FROM 400 AND ABOVE - I TESTED IT WITH 10,000 USD AND LEVERERAGE OF 1:500 PLEASE SEE THE REAL ACCOUNT LINK BELOW. YOU NEED BIG LEVERAGE  AND HIGHER RISK TO U
XG Gold Robot MT5
Marzena Maria Szmit
4.35 (75)
The XG Gold Robot MT5 is specially designed for Gold. We decided to include this EA in our offering after extensive testing . XG Gold Robot and works perfectly with the XAUUSD, GOLD, XAUEUR pairs. XG Gold Robot has been created for all traders who like to Trade in Gold and includes additional a function that displays weekly Gold levels with the minimum and maximum displayed in the panel as well as on the chart, which will help you in manual trading. It’s a strategy based on Price Action, Cycle S
Oracle MT5
Stanislav Tomilov
5 (14)
Oracle Trading Expert the Quintessence of Modern Programming Technologies Expert Oracle for MetaTrader, trading on GBPUSD and Gold, represents the quintessence of modern programming technologies. Our unique proprietary methods and developments are based on advanced machine learning concepts, making our trading expert truly one-of-a-kind. We offer cutting-edge modules and neural architecture that embody innovative advancements in financial programming. Our algorithms rely on in-depth data analysi
GOLD CatBoost Distans MA 3 ST V1   EA works on the Catboost algorithm. The technology described in my articles is used, which you can read below: Experiments with neural networks (Part 1): Revisiting geometry   https://www.mql5.com/en/articles/11077 Experiments with neural networks (Part 2): Smart neural network optimization   https://www.mql5.com/en/articles/11186 Experiments with neural networks (Part 3): Practical application   https://www.mql5.com/en/articles/11949 Experiments with
Boring Pips MT5
Thi Thu Ha Hoang
4.71 (28)
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
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