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Simple Candle Strategy

If you want to receive the same indicators, then write in telegram @RussianObzhina
If you want to receive the same indicators, then write in telegram @RussianObzhina
If you want to receive the same indicators, then write in telegram @RussianObzhina
, The basic concept
The strategy is based on the "Outside Bar" pattern with a breakout. This is a classic pattern that is used in price action trading.
, The logic of the work
TWO TYPES OF SIGNALS:
1. BUY signal (Long) - signalValue = 2
Conditions:
The current candle is red (open > close)
High > High of the previous candle
Low < Low of the previous candle
Close < Low of the previous candle (closing below the minimum of the previous candle)
What does this mean?:
Bearish break down
An upward reversal is expected
Entry: purchase at the opening of the next candle
2. Sell signal (Short) - signalValue = 1
Conditions:
The current candle is green (open < close)
Low < Low of the previous candle
High > High of the previous candle
Close > High of the previous candle (closing above the high of the previous candle)
What does this mean?:
Bullish Upside breakout
A downward reversal is expected
Entry: sell at the opening of the next candle
, Risk management
Stop loss:
Calculated in pips (slPips parameter)
Default: 250 pips
Formula:
For Long: Entry Price - (slPips × pipValue)
For Short: Entry Price + (slPips × pipValue)
Take-profit:
Missing from the code (which is interesting!)
Positions are closed according to two scenarios:
Automatic profit closing: the position is closed if the current price is better than the entry price
Stop loss
, Statistics from Python code
It can be seen from your Python notebook that the strategy was tested on EURUSD and GBPUSD (daily data from 2017 to 2024):
Total transactions: 431
Win rate: 87.53% (very high!)
Maximum drawdown: -11.23%
Average transaction: +0.06%
Best Deal: +1.79%
Worst deal: -2.60%
The strengths of the strategy
A high win rate (87.5%) is a statistically significant result.
Simple logic - easy to understand and modify
Clear entry rules - minimum subjectivity
Risk management through stop loss
Automatic closing of profitable positions
⚠️ Problems and risks
There is no take profit - positions are held until a stop loss or reverse signal is triggered.
Small average profit (+0.06%) - commissions can eat up profits
Volatility Dependence - The Outside Bar pattern works better in trends
False breakouts - there may be frequent losing trades on the side
Optimization for historical data - curve fitting is possible
If you want to receive the same indicators, then write in telegram @RussianObzhina
If you want to receive the same indicators, then write in telegram @RussianObzhina
If you want to receive the same indicators, then write in telegram @RussianObzhina
, The basic concept
The strategy is based on the "Outside Bar" pattern with a breakout. This is a classic pattern that is used in price action trading.
, The logic of the work
TWO TYPES OF SIGNALS:
1. BUY signal (Long) - signalValue = 2
Conditions:
The current candle is red (open > close)
High > High of the previous candle
Low < Low of the previous candle
Close < Low of the previous candle (closing below the minimum of the previous candle)
What does this mean?:
Bearish break down
An upward reversal is expected
Entry: purchase at the opening of the next candle
2. Sell signal (Short) - signalValue = 1
Conditions:
The current candle is green (open < close)
Low < Low of the previous candle
High > High of the previous candle
Close > High of the previous candle (closing above the high of the previous candle)
What does this mean?:
Bullish Upside breakout
A downward reversal is expected
Entry: sell at the opening of the next candle
, Risk management
Stop loss:
Calculated in pips (slPips parameter)
Default: 250 pips
Formula:
For Long: Entry Price - (slPips × pipValue)
For Short: Entry Price + (slPips × pipValue)
Take-profit:
Missing from the code (which is interesting!)
Positions are closed according to two scenarios:
Automatic profit closing: the position is closed if the current price is better than the entry price
Stop loss
, Statistics from Python code
It can be seen from your Python notebook that the strategy was tested on EURUSD and GBPUSD (daily data from 2017 to 2024):
Total transactions: 431
Win rate: 87.53% (very high!)
Maximum drawdown: -11.23%
Average transaction: +0.06%
Best Deal: +1.79%
Worst deal: -2.60%
The strengths of the strategy
A high win rate (87.5%) is a statistically significant result.
Simple logic - easy to understand and modify
Clear entry rules - minimum subjectivity
Risk management through stop loss
Automatic closing of profitable positions
⚠️ Problems and risks
There is no take profit - positions are held until a stop loss or reverse signal is triggered.
Small average profit (+0.06%) - commissions can eat up profits
Volatility Dependence - The Outside Bar pattern works better in trends
False breakouts - there may be frequent losing trades on the side
Optimization for historical data - curve fitting is possible
If you want to receive the same indicators, then write in telegram @RussianObzhina
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Informacje i publikacje nie stanowią i nie powinny być traktowane jako porady finansowe, inwestycyjne, tradingowe ani jakiekolwiek inne rekomendacje dostarczane lub zatwierdzone przez TradingView. Więcej informacji znajduje się w Warunkach użytkowania.
Skrypt chroniony
Ten skrypt został opublikowany jako zamknięty kod źródłowy. Można z tego korzystać swobodnie i bez żadnych ograniczeń — więcej informacji znajduje się tutaj.
Wyłączenie odpowiedzialności
Informacje i publikacje nie stanowią i nie powinny być traktowane jako porady finansowe, inwestycyjne, tradingowe ani jakiekolwiek inne rekomendacje dostarczane lub zatwierdzone przez TradingView. Więcej informacji znajduje się w Warunkach użytkowania.