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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EMA MTF PlusI like trading the 1 minute and 3 minutes time-frames. I'm what is commonly called a "scalper". Long term investments yes, I have some, but for trading, I don't have neither the time,
nor the patience to wait hours or days for my trade to be complete.
This doesn't mean I discount the higher time-frames, no, I actually rely heavily on them. I found that EMAs do a decent job as support/resistance, sometimes to a tick level of precision. And this is important for a 1 minute trader.
As such, I made this script that tracks the higher time-frames EMAs and displays the last value as a line.
I do not need the whole EMA, I'm not interested in crossovers or crossunders, these are anyway late signals for me.
What's with the triangles? These are local tops/bottoms , candles that have a have decent size of the wick. These tops and bottoms are by no means "final", they are merely a rejection at certain levels of price. Due to markets complexities (and human erratic behaviors hehe) these levels could be breached at the very next candle. For a more "final" version (nothing is really final but..) I added Schaff Trend Cycle as filter, so a triangle will pop only when a trend is mature enough ( STC with a value near 0 or near 100).
Colored bars. When the body of the candle is big, it shows strength. Strong bars tend to have follow through, especially when breaking key levels. The script looks at the body of the candle and compares it with ATR (Average True Range), if it's at least 0.8 of ATR it changes the bar color to yellow (bull candles) or fuchsia(bear candles).
Range identifier. This code is copied from Lazy Bear (if there are any issues please let me know), it's very useful in conjunction with colored bars.
I look for breakout candles that go outside of the range as a signal for a trade.
There are many ways in which this script can be useful, like trading mean reversions or momentum trades (breakouts) or simply trend following trades.
I hope you guys find it useful, you can play with default values and change them as you like, these are what I found to be working best for me and my trading universe (mostly crypto).
Special thanks for the original work of:
LazyBear
everget
Jim8080 Indicator
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Fractal Breakout Strategy [KL]Fractal Breakout Strategy
This strategy will enter into a Long position when (a) bullish fractal is formed, combined with (b) ATR is relatively low. Trailing stop loss is set based on ATR.
Bullish fractal pattern :
A bullish fractal pattern looks like this:
It is formed when lower-low has reached a local minimum followed by higher-lows.
By default, this script plots the pivot point (the local minimum) using green crosses. This line will extend to the right until the next bullish fractal is formed. The local minimum pivot point is considered as key level of support. For long position entry, entry price must be higher or equal to it.
On the other hand, a bearish fractal pattern looks like the exact opposite. Reversing the logic, it is a local maximum indicated by higher-highs followed by lower-highs. This is shown by red crosses.
Why use ATR to confirm entry :
Two reasons to enter when ATR is low:
1) Since trailing stop loss is based on ATR, entering the market when ATR is low means risking less for potentially high reward.
2) Low ATR often signals price consolidation. There are two favorable scenarios, either: (i) period of accumulation, or (ii) bull flag, ideally followed by breakout.
Determining whether ATR is low :
Relative lows are quantified out by using the method in my other script: Modified ATR Indicator
The method involves applying two-tailed hypothesis testing to assess whether ATR (ie. by default lookback period of 5) has greatly deviated from a larger sample size (ie. lookback period of 50). Assuming ATR is normally distributed and variance is known, then test statistic (z) can be used to determine whether ATR5 is within the critical area under Null Hypothesis: ATR5 == ATR50. If z falls below/above the left/right critical values (ie. 1.645 for a 90% confidence interval), then ATR is determined to the relatively low/high respectively. For the purpose of assessing whether ATR is low, the left-tail is the main focus.
Profit taking :
Profits by default are taken over 3 levels based on risk to reward ratio (ie. 1R, 2R, 3R). When a target is met at each level, strategy will close out one third of current position size. Remainders (ie. already taken once at 1R, but not yet reaching 2R or 3R) will eventually be closed at the trailing stop loss price. Strategy
Bjorgum Key Levels
Key Levels Aims to capture 3 of the most significant points in price action
Breakouts
False Breakouts (Traps)
Back Checks
These 3 points alone, if properly identified, can be some of the most significant points of movement in the price history of an asset and bring significant gains to traders, if capitalized on. Here are a few examples of these setups
Breakouts
Breakouts can bring significant rallies as the market swings one sided after key levels are breached. This entry type can bring large trending runs to follow. Momentum is on your side, but the trade off is a higher entry.
False Breakouts
Also known as a bull trap or a bear trap, false breaks can lead to swift and significant reversals and potential for a large and sudden move to the opposite side. When a key level breakout fails to hold, parties entering to capitalize on the "epic breakout" can get left holding the bag forcing them to exit at a loss, which can double the force of pressure. Traps can bring swift gains from good entry prices. However, price is still in a larger trend against you so momentum is weak, so price action is susceptible to roll over.
Backchecks
Back checks are pull backs in trend that find middle ground to the 2 areas already described. Both momentum and entry price are decent, but risk is defined as a key level has flipped offering entry with stops below demand, or above supply.
Combining these 3 methods helps to diversify risk, understand trend development, and bring steady gains. This script helps to identify these points to traders with analysis of key levels, price structure, and trend direction, while providing visual signals and alerts for when they occur.
Best of luck in your coding and trading and thank you for your support Indicator
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Kaufman's Efficiency Ratio Strategy [KL]I recently published an indicator called "Kaufman's Efficiency Ratio Indicator". In the description of that script, I hypothesized about how the Efficiency Ratio could be applied to identify bullish moves in instances where price had already gone up steeply, but rests for a while, allowing for entry in expectation that price will continually rise. I decided to test out this idea with Pinescript.
About Kaufman's Efficiency Ratio ("ER")
ER was developed by a systematic trader by the name of Perry J. Kaufman.
Formula
The formula is:
= A divided by B,
where:
A = Current closing price minus the closing price at the start of the lookback period
B = Sum of differences between closing prices (in absolute terms) of consecutive bars over the lookback period
How this strategy enters a trade (Long):
- code: entry_signal_long = ER > 0 and ER_is_mid
- meaning: when ER is positive, strategy assumes price has risen. Usually ER value begins high (red), and unless it is a false move, then it should stay positive. This strategy will patiently wait until ER drops to medium (yellow), and then place a trade.
- how low/medium/high is dynamically determined: Refer to the description of my other script("Kaufman's Efficiency Ratio Indicator") for details. Trying to keep this as short as possible.
How this strategy exits a trade (Long):
- when price hits stop limit; stop limit is based on low of bars, trails upward based on ATR
- included a feature called "tightening TSL", which tries to reduce the stop-buffer during periods of high volatility implied by ER (very experimental, opening the floor for suggestions on how this can be improved) Strategy
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