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Donchian Channel Strategy IdeaThis strategy idea is a variation of the "Donchian Channel" trading strategy. It is built with a highest-high band, a lowest-low band, and a baseline which is average the highest-high and the lowest-low bands. This strategy is very useful in trending instruments on 1W and 1D timeframes. This is the implementation used in the QuantCT app.
You can set the operation mode to be Long/Short or long-only.
You also can set a fixed stop-loss or ignore it so that the strategy acts solely based on entry and exit signals.
Trade Idea
When the close price breaks up the previous highest-high, it is a long signal, the market is considered rising (bullish), and the plotted indicator becomes green. Long positions are held until the close price crosses under the baseline.
When the close price breaks down the previous lowest-low, it is a short signal, the market is considered falling (bearish), and the plotted indicator becomes red. Short positions are held until the close price crosses above the baseline.
Otherwise, if we have no position in the market, the market is considered ranging, and the plotted indicator becomes orange.
Entry/Exit rules
Enter LONG if the close price breaks up the previous highest-high (i.e. when the plotted indicator becomes green).
Exit LONG if the close price crosses under the baseline (i.e. when the plotted indicator becomes orange).
Enter SHORT if the close price breaks down the previous lowest-low (i.e. when the plotted indicator becomes red).
Exit SHORT if the close price crosses above the baseline (i.e. when the plotted indicator becomes orange).
CAUTION
It's just a bare trading idea - a profitable one. However, you can enhance this idea and turn it into a full trading strategy with enhanced risk/money management and optimizing it, and you ABSOLUTELY should do this!
DON'T insist on using Long/Short mode on all instruments! This strategy performs much better in Long-Only mode on many (NOT All) trending instruments (Like BTC, ETH, etc.).
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Bagheri IG Ether v2In this version, the winning ratio has been decreased, but the Risk to Reward Ratio (RRR) has been set to be better than the previous version.
This is a technical trading strategy for Ethereum ( BINANCE:ETHUSDT ). We built and developed it on MetaEditor and optimized it with MetaTrader optimizer.
The main indicators are Donchian Channel, Oscillator of ROC , Bears Power, Balance of Power , and Simple Moving Average ( SMA ). Default values in the input panel are the best combination of these indicators, but you can change any of them and try it for better results.
Please notice that this strategy has been optimized on the 1-minute chart of Ethereum .
For each position, you can see the Take Profit (TP) and Stop Loss (SL) levels. Also, you can find the values of mentioned TP and SL in points from the input panel of the script.
Attention: The price of Ethereum has 2 decimal places.
Therefore, 3000 points for TP means 30 USDT for trading 1 BINANCE:ETHUSDT . 策略

Keltner Center Of Gravity Channel ( KeltCOG )I have the ambition to create a ‘landscape’ which enables the user to see the ‘mood’ of the market about the price of an instrument, simply by looking where the candles go. Prices are a simple phenomenon , they go up or down or stay the same. This is represented quite well for the short term by a candle. I recommend to study candle patterns. Prices not only fluctuate but also trend up, down or go sideways. The user should analyze this by determining the COG (Center Of Gravity) and the ‘normal’ current range by using the historical data in a lookback period.
As a COG the center line of a Donchian Channel is often used. I.m.o. a COG should be a zone, in this channel I use the gray zone of my Donchian Fibonacci Channel, The ‘normal’ range is a multiple of Average True Range, as used in a Keltner Channel. Combining the two can give a cumbersome result, as one can see in my Keltner Fibonacci Channel. In this KeltCOG channel I solved this by not using all Fibonacci levels and by making the Keltner lines strictly parallel to the nearest COG line. To do this, I use the fact that the COG lines have horizontal stretches, there I make the Keltner lines horizontal too. Only where the COG lines change value, the Keltner lines are recalculated. This way the channel gets a very regular shape with three clear zones.
Interpretation of a chart by using the KeltCOG channel.
Overbought: If the candles go higher then the blue zone, the market is hyper enthusiast, creating an overbought situation. This is often followed by a reversion to the COG.
Uptrend: If the candles form in the blue zone, the market is enthusiast and willing to pay more.
Hopeful: If the candles form in or near the upper uncolored zone, the market is hopeful and is thinking about paying more. Sometimes prices go a little up.
Content: If the candles form in the gray zone, which represents COG, the market is happy with the current prices, so these move sideways
Disappointed: If the candles form in or near the lower uncolored zone, the market is disappointed and contemplates paying less, sometimes prices go a little down.
Downtrend: If the candles form in red zone, the market doesn’t like the instrument at all, rejects the current price and is only prepared to pay less.
Oversold: If the candles form below the red zone, the market overdoes its disgust, creating an oversold situation, often followed by a reversion to the COG.
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Strategy Template - V2This is an educational script created to demonstrate few basic building blocks of a trend based strategy and how to achieve different entry and exit types. My initial intention was to create a comprehensive strategy template which covers all the aspects of strategy. But, ended up creating fully fledged strategy based on trend following.
This is an enhancement on Strategy-Template But this script is comparitively more complex. Hence I decided to create new version instead of updating the existing one.
Lets dive deep.
SIMPLE COMPONENTS OF TREND FOLLOWING STRATEGY
TREND BIAS - This defines the direction of trend. Idea is not to trade against the trend direction. If the bias is bullish, look for long opportunities and if bias is bearish, look for short opportunities. Stay out of the market when the bias is neutral.
Often, trend bias is determined based on longer timeframe conditions. Example - 200 Moving Average, Higher timeframe moving averages, Higher timeframe high-lows etc. can be used for determining the trend bias.
In this script, I am using Weekly donchian channels combined with daily donchian channels to define trend bias.
Long Bias - 40 Day donchian channel sits completely in upper portion of 40 Week dochnial channel.
Short Bias - 40 Day donchian channel sits completely in lower portion of 40 Week donchian channel.
ENTRY CONDITION - Entry signals are generated only in the direction of bias. Hence, when in LongBias, we only get Long signals and when in short bias, we only get short signals.
In our case, when in Long Bias - if price hits 40 day high for the first time, this creates our long entry signal. Similarly when in Short Bias , price hitting 40 day low will create signal for going short. Since we do not take trades opposite to trend, no entry conditions are formed when price hits 40 day high in Short Bias or 40 day low in Long Bias.
EXIT CONDITION - Exit conditions are formed when we get signals of trend failure.
In our case, when in long trade, price hitting 40 day low creates exit signal. Similarly when in short trade price hitting 40 day high creates exit signal for short trade.
DIFFERENT TYPES OF ENTRY AND EXIT
In this script, I have tried to demonstrate different entry and exit types.
Entry types
Market - Enter immediately when entry signal is received. That is, in this case when price crossover over high in long bias and crosses under low in short bias
Stop - This method includes estimating at what level new highs are made and creating a stop buy order at that level. This way, we do not miss if the break out is stronger. But, susciptible to fail during fakeouts.
Limit - This method includes executing a limit order to buy at lower price or sell at higher price. In trend following methods, downside of limit order is when there is genuine breakout, these limit orders may not hit and during trend failures the limit orders are likely to hit and go straight to stop.
Stop-Limit - this is same as stop order but will also place a limit condition to avoid buying on overextended breakout or with lots of slippage.
Exit types
Market - whether to keep the existing trade running or whether to close it is determined after close of each bar and exit orders are executed manually upon receiving exit signal.
Stop - We place stop loss orders beforehand when there is a trade in place. This can help in avoiding big movements against trade within bar. But, this may also stop on false signals or fakeouts.
Take profit
Stop - No take profits are configured.
Target - 30% of the positions are closed when take profit levels are hit. Take profit levels are defined by risk reward.
USING THE CODE AS TEMPLATE
As mentioned earlier, I intended to create a fully fledged strategy template. But, ended up creating a fully fledged stratgy. However, you can take some part of this code and use it to start your own strategy. Will explain what all things can be adopted without worrying about the strategy implementation within
Strategy definition : This can be copied as is and just change the title of strategy. This defines some of the commonly used parameters of strategy which can help with close to realistic backtesting results for your coded strategy and comparison with buy and hold.
Generic Strategy Parameters : The parameter which defines controlling alllowed trade direction and trading window are present here. This again can be copied as is and variable inDateRange can be directly used in entry conditions.
Generic Methods : f_getMovingAverage and f_secureSecurity are handy and can be used as is. atr method provideded by pine gives you ATR based on RMA. If you want SMA or any other moving average based ATR, you can use the method f_getCustomAtr
Trade Statements : This section has all types of trading instructions which includes market/stop/limit/stop-limit type of entries and exits and take profit statements. You can adopt the type of entry you are interested in and change when condition to suit your strategy.
Trade conditions and levels : This section is required. But, cannot be copied. All the trade logic goes here which also sets parameters which are used in when of Trade Statements.
Hope this helps. 策略

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Fat Side PathI got the idea for a narrow Donchian Channel with a short lookback period which closely follows the price fluctuation in which the sides of the channel have a thickness according to the range of the last touching candle.
Any channel, be it Donchian, Keltner, Bollinger Bands or Parallel, has an upside and a downside, touching the upside is a buy signal as this may initiate an uptrend, the downside a sell signal because a down trend may come.
This gave me the idea to make only the last touched side fat, thus creating visible switching between uptrend and downtrend. However this is ‘too digital’, as in practice also periods of no trend occur in which signaling a trend would give a false signal. In a Donchian channel (and also Bollinger Bands) such periods are marked by narrowing the channel. So I gave a no trend signal to the sides when the channel is narrower than a minimum width to call a trend. I gave the thing nice colours and proper default settings.
Use of the channel in trading.
I think this thing can be useful for swing trading. In channels two typical things may happen that should be noted by the trader, these are LB, Leaving the Border, which signals a trend reversal and FTT, Failure To Traverse, i.e. the price doesn’t manage to cross the channel to the other side. This affirms the trend. FTT’s are not expected in short lookback channels like this path (Sidenote: Fibonacci levels can be regarded as predictions where FTT’s may occur). The fat side indicates direction. Because somehow trends seem to end with a notable range extension, this channel sometimes produces a “Big Blob” where the trend reverses.
I intend to use this thing together with my Keltner Fibzones channel, where the zones serve as a ‘landscape’ in which the Fat Side Path meanders providing ‘comments’ on the short term price movements.
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