Trend/Retracement - ZigZag - New wayZigZag for Trend and Retracements - New way
It's another way to plot ZigZag based on lookback period for trend and % of trend lookback period to plot retracements.
█ OVERVIEW
Plot ZigZag, Trend lines, Retracements, Support levels, Resistance levels
█ Objective:
Draw ZigZag lines along with unbroken support and resistance levels. ZigZag lines are drawn for main trend and the retracements.
Main Trend – This is calculated based on lookback period.
Retracements – Retracements are calculated as 25% of main trend.
Support and Resistance line: The indicator draws 2 types of support and resistance lines
1. Un-broken – Once formed (plotted), these are the support and resistance which are not yet broken
2. Tested – One can also choose to see support and resistance lines which are tested but not broken. Tested support/resistance are those levels which are touched by high/low price but close price has not crossed the level.
█ How main trend point is calculated:
E.g.
Chart timeframe = 15m
Lookback period = 250
Retracement = 25% of main trend ( 25% of 250 = 62 )
A price point on a chart is considered as trend point if distance between current price and previous highest price is 250 candles
A price point is considered as a retracement if distance between current price and previous highest price is 62 candles. Please note retracements are calculated only after finding a main trend point.
█ Input parameters:
Zigzag Parameters
Use predefined Lookback – If checked pre-defined timeframe-based lookback parameters are used.
Trend lookback candles – If ‘Use predefined Lookback’ is unchecked then this value is used as lookback period.
Retracement % of look back candles– If ‘Use predefined Lookback’ is unchecked then this value is used for calculating retracement lookback period
Mark retracements – If unchecked only main trend lines are plotted
Plot support/resistance – To plot support/resistance levels
Show support/resistance tested lines – If checked tested support/resistance liens are shown on the chart
█ TF based Lookback period config (Defaults are set as specified below, One can change these defaults to use different lookback periods)
The defaults set here are used based on the chart timeframe. e.g. if chart timeframe is changed from say 15m to 60m then 60m chart defaults (i.e. trend lookback = 90) are used to plot the trend and the retracements. At the bottom-right of the chart, parameters used for plotting are displayed all the time.
Timeframe in minute – Default = 5m
Trend lookback candles – Default = 375 (~ 5 days of data)
Timeframe in minute – Default = 15m
Trend lookback candles – Default = 250 (~10 days of data)
Timeframe in minute – Default = 60m
Trend lookback candles = Default = 90 (~ 15 days of data)
Trend lookback candles for timeframe 'D' – Default = 30 (~1 month data)
Trend lookback candles for timeframe 'W' – Default = 21 (~6 months data)
Trend lookback candles for timeframe 'M' – Default = 12 (~1year data)
Retracement % of look back candles – Default = 25%
█ When and where one can use this indicator (Refer to chart examples)
To view support and resistance based on lookback period
To view ZigZag lines
One can use it to find chart patterns easily
Trend and retracement lines can help in drawing Elliott waves.
█ Chart examples:
1. Chart patterns can be easily identified - One can disable the candle charts which will help to identify and draw chart patterns easily
2. Trend and retracement lines can also help is analyzing charts (e.g. Elliott Waves can be marked based on trend lines)
3. Tested but not broken support and resistance lines can be viewed
4. You can select 'NOT' to plot tested support and resistance lines
5. Uncheck the Mark retracements to plot main trend lines (Retracements are not marked)
Wyszukaj w skryptach "chart"
Covering Shadow Candle PatternThis indicator shows 3 types of objects on chart:
1. downward red triangle above a candle: 3 green candles followed by a fourth red candle of which the low price is lower than the low of the 3 previous green candles, this is usually the sign of reversal from upward movement to a downward one.
2. 1. upward green triangle below a candle: 3 red candles followed by a fourth green candle of which the high price is higher than the high of the 3 previous red candles, this is usually the sign of reversal from downward movement to a upward one.
3. boxes: these boxes are drawn when the patterns of cases 1 and 2 fails to perform as expected which means we have some important areas at that level so it can be a resistance or support zone .
R19 STRATEGYHello again.
Let me introduce you R19 Strategy I wrote for mostly BTC long/short signals
This is an upgrated version of STRATEGY R18 F BTC strategy.
I checked this strategy on different timeframes and different assest and found it very usefull for BTC 1 Hour and 5 minutes chart.
Strategy is basically takes BTC/USDT as a main indicator, so you can apply this strategy to all cryptocurrencies as they mostly acts accordingly with BTC itself (Of course you can change main indicator to different assets if you think that there is a positive corelation with. i.e. for BTC signals you can sellect DXY index for main indicator to act for BTC long/short signals)
Default variables of the inticator is calibrated to BTC/USDT 5 minute chart. I gained above %77 success.
Strategy simply uses, ADX, MACD, SMA, Fibo, RSI combination and opens positions accordingly. Timeframe variable is very important that, strategy decides according the timeframe you've sellected but acts within the timeframe in the chart. For example, if you're on the 5 minutes chart, but you've selected 1 hour for the time frame variable, strategy looks for 1 hour MACD crossover for opening a position, but this happens in 5 minutes candle, It acts quickly and opens the position.
Strategy also uses a trailing stop loss feature. You can determine max stoploss, at which point trailing starts and at which distance trailing follows. The green and red lines will show your stoploss levels according to the position strategy enters (green for long, red for short stop loss levels). When price exceeds to the certaing levels of success, stop loss goes with the profitable price (this means, when strategy opens a position, you can put your stop loss to the green/red line in actual trading)
You can fine tune strategy to all assets.
Please write down your comments if you get more successfull about different time zones and different assets. And please tell me your fine tuning levels of this strategy as well.
See you all.
Chart VWAP█ OVERVIEW
This indicator displays a Volume-Weighted Average Price anchored to the leftmost visible bar of the chart. It dynamically recalculates when the chart's visible bars change because you scroll or zoom your chart.
If you are not already familiar with VWAP, our Help Center will get you started. The typical VWAP is designed to be used on intraday charts, as it resets at the beginning of the day. Our Rolling VWAP , instead, resets on a rolling time window. You may also find the VWAP Auto Anchored built-in indicator worth a try.
█ HOW TO USE IT
Load the indicator on an active chart (see the Help Center if you don't know how). By default, it displays the chart's VWAP in orange and a simple average of the chart's visible close values in gray. This average can be used as a companion to the VWAP, since both are calculated from the same set of bars. The script's settings allow you to hide it.
You may also use the script's settings to enable the display of the chart's OHLC (open, high, low, close) levels and the values of the high and low. These are also calculated from the range of visible bars. You can complement the high and low lines with their price and their distance in percent from the chart's latest visible close . You can use the levels to quickly identify the distances from extreme points in the visible price range, as well as observe the visible chart's beginning and end prices.
█ NOTES FOR Pine Script™ CODERS
This script showcases three novelties:
• Dynamic recalculation on visible bars
• The VisibleChart library by PineCoders
• The new `anchor` parameter of ta.vwap()
Dynamic recalculation on visible bars
This script behaves in a novel way made possible by the recent introduction of two new built-in variables: chart.left_visible_bar_time and chart.right_visible_bar_time , which return the opening time of the leftmost and rightmost visible bars on the chart. These are only two of many new built-ins in the `chart.*` namespace. See this blog post for more information, or look up them up by typing "chart." in the Pine Script™ Reference Manual .
Any script using chart.left_visible_bar_time or chart.right_visible_bar_time acquires a unique property, which triggers its recalculation when traders scroll or zoom their chart, causing the range of visible bars to change. This new capability is what makes it possible for this script to calculate its VWAP on the chart's visible bars only, and dynamically recalculate if the user scrolls or zooms their chart.
This script is just a start to the party; endless uses for indicators that redraw on changes to the chart will no doubt emerge through the hands of our community's Pine Script™ programmers.
The VisibleChart library by PineCoders
The newly published VisibleChart library is designed to help programmers benefit from the new capabilities made possible by the fact that Pine Script™ code can now tell when it is executing on visible bars. The library's description, functions and example code will help programmers make the most of the new feature.
This script uses three of the library's functions:
• `PCvc.vVwap()` calculates a VWAP for visible bars.
• `PCvc.avg()` calculates the average of a source value for visible bars only. We use it to calculate the average close (the default source).
• `PCvc.chartXTimePct(25)` calculates a time value corresponding to 25% of the horizontal distance between visible bars, starting from the left.
The new `anchor` parameter of ta.vwap()
Our script also uses this new `anchor` parameter to reset the VWAP at the leftmost visible bar. See how simple the code is for the VisibleChart library's `vVwap()` function.
Look first. Then leap.
Lower time frame Intrabar CandlesI was looking for an indicator to show me what a lower time frame is doing at the start, middle, and end of the candle, but I couldn't find one, hench,
I made my own using Tradingview latest capabilities to fetch a lower time frame from a higher time frame chart.
For example, if your chart is 1 hour and this indicator is set to a lower time frame of 15 minutes, then the Start, Middle, or End (Select which in settings) of the 15min candle will be displayed overlaying the 1-hour candle.
This will always show you what the lower time frame candle is currently doing without the need to open an additional lower time frame chart. How cool is that?
Remember to select a lower time frame in the settings than the chart time frame for it to work as expected.
Enjoy :)
-=== Notes ===-
* The lower time frame candles BORDER is set to WHITE by default, however, you can adjust the color of the candle (wicks, body, and border) of the 'LTF Candle' indicator inside its Settings -> Style
* Suitable for candles and designed to work in historical and real time.
* Added optional label to show lower time frame values (can be disabled via indicator settings).
* You can adjust the visuals of the chart candles at Chart Settings -> Symbol -> Body, Borders, or Wicks to visually see better the lower time frame candles.
There is also a similar concept volume-based using histogram, stay tuned.
Like if you like and follow: www.tradingview.com
Charting the US02Y-US10YPutting together a script that charts the US02Y - US10Y in visual format. First script I've ever written and would like some feed back as to how I could improve. Also currently have to turn on "Indicator Last Value Label, and Indicator Name Label" if you would like data to appear on the chart. Works best when the US02Y-US10Y chart is being displayed!
Dblocs 4 Year BTC Cycle Guide// Indicator Description:
// The "Dblocs 4 Year BTC Cycle Guide" indicator represents a fixed recurring profit-taking cycle that begins with each Bitcoin halving event.
// Functionality Explained:
// After every halving event, there has been a fixed number of weeks following that marked the area of highest profitability for taking profit.
// • 40 Weeks (Post-Halving) = Start of the optimal profit-taking zone.
// • 80 Weeks (Post-Halving) = "Last Call" for profit-taking before the bear market.
// • 135 Weeks (Post-Halving) = Optimal area to begin Dollar-Cost Averaging.
//@version=5
indicator(title='Dblocs 4 Year BTC Cycle Guide', overlay=true)
// Function to check if it's after a halving based on months (weekly)
isAfterHalvingWeeks(y, m, d, months) =>
halvingDate = timestamp(y, m, d)
startDate = request.security(syminfo.tickerid, 'D', halvingDate + 1)
endDate = startDate + months * 30 * 24 * 60 * 60 * 300
time >= startDate and time <= endDate
// Function to check if it's after a halving based on months (monthly)
isAfterHalvingMonths(y, m, d, months) =>
halvingDate = timestamp(y, m, d)
startDate = request.security(syminfo.tickerid, 'M', halvingDate + 1)
endDate = startDate + months * 36 * 30 * 24 * 60 * 60 * 100
time >= startDate and time <= endDate
// Set the future halving date
halvingDate4th = timestamp(2024, 4, 19)
halvingdate = input(defval=true, title="Halving Date")
var WeeklyProfitSTART = input(true, title="(Weekly) Profit ")
var WeeklyProfitEND = input(true, title="(Weekly) Profit ")
var MonthlyProfitSTART = input(true, title="(Monthly) Profit ")
var MonthlyProfitEND = input(true, title="(Monthly) Profit ")
var DCAstart = input(true, title="DCA (Show)")
var ShowBackgroundColor = input(true, title="Show Background Color")
isDate(y, m, d) => timestamp(y, m, d) <= time and timestamp(y, m, d) > time
// Check if it's a daily chart
isDaily = timeframe.isdaily
// Check if it's a weekly chart
isWeekly = timeframe.isweekly
// Check if it's a monthly chart
isMonthly = timeframe.ismonthly
// Weekly Plots & Calculations
profitStartOffsetWeekly = input.int(40, title="(Weekly) START Profit ", minval=-40)
profitEndOffsetWeekly = input.int(80, title="(Weekly) END Profit ", minval=0)
DCAstartOffsetWeekly = input.int(123, title="DCA Weekly ", minval=0)
// Monthly Plots & Calculations
profitStartOffsetMonthly = input.int(10, title="(Monthly) START Profit ", minval=-100)
profitEndOffsetMonthly = input.int(18, title="(Monthly) END Profit ", minval=0)
DCAstartOffsetMonthly = input.int(27, title="DCA Monthly ", minval=0)
// Use the same input for weekly
bgcolor(ShowBackgroundColor and isWeekly and (isAfterHalvingWeeks(2012, 11, 28, 5.5) or isAfterHalvingWeeks(2016, 7, 9, 5.5) or isAfterHalvingWeeks(2020, 5, 11, 5.5) or isAfterHalvingWeeks(2024, 4, 10, 6)) ? color.rgb(0, 255, 8, 90) : na, offset=+40)
bgcolor(ShowBackgroundColor and isWeekly and (isAfterHalvingWeeks(2012, 11, 28, 5.5) or isAfterHalvingWeeks(2016, 7, 9, 5.5) or isAfterHalvingWeeks(2020, 5, 11, 5.5) or isAfterHalvingWeeks(2024, 4, 10, 6)) ? color.rgb(0, 255, 8, 85) : na, offset=+47)
bgcolor(ShowBackgroundColor and isWeekly and (isAfterHalvingWeeks(2012, 11, 28, 5.5) or isAfterHalvingWeeks(2016, 7, 9, 5.5) or isAfterHalvingWeeks(2020, 5, 11, 5.5) or isAfterHalvingWeeks(2024, 4, 10, 6)) ? color.rgb(0, 255, 8, 80) : na, offset=+54)
bgcolor(ShowBackgroundColor and isWeekly and (isAfterHalvingWeeks(2012, 11, 28, 5.5) or isAfterHalvingWeeks(2016, 7, 9, 5.5) or isAfterHalvingWeeks(2020, 5, 11, 5.5) or isAfterHalvingWeeks(2024, 4, 10, 6)) ? color.rgb(0, 255, 8, 75) : na, offset=+61)
bgcolor(ShowBackgroundColor and isWeekly and (isAfterHalvingWeeks(2012, 11, 28, 5.5) or isAfterHalvingWeeks(2016, 7, 9, 5.5) or isAfterHalvingWeeks(2020, 5, 11, 5.5) or isAfterHalvingWeeks(2024, 4, 10, 6)) ? color.rgb(0, 255, 8, 60) : na, offset=+68)
bgcolor(ShowBackgroundColor and isWeekly and (isAfterHalvingWeeks(2012, 11, 28, 3.5) or isAfterHalvingWeeks(2016, 7, 9, 3.5) or isAfterHalvingWeeks(2020, 5, 11, 3.5) or isAfterHalvingWeeks(2024, 4, 10, 4)) ? color.rgb(0, 255, 8, 55) : na, offset=+75)
// Use the same input for monthly
bgcolor(ShowBackgroundColor and isMonthly and (isAfterHalvingMonths(2012, 11, 28, 0.25) or isAfterHalvingMonths(2016, 7, 9, 0.25) or isAfterHalvingMonths(2020, 5, 11, 0.25) or isAfterHalvingMonths(2024, 4, 10, 1)) ? color.rgb(0, 255, 8, 85) : na, offset=+11)
bgcolor(ShowBackgroundColor and isMonthly and (isAfterHalvingMonths(2012, 11, 28, 0.25) or isAfterHalvingMonths(2016, 7, 9, 0.25) or isAfterHalvingMonths(2020, 5, 11, 0.25) or isAfterHalvingMonths(2024, 4, 10, 1)) ? color.rgb(0, 255, 8, 80) : na, offset=+12)
bgcolor(ShowBackgroundColor and isMonthly and (isAfterHalvingMonths(2012, 11, 28, 0.25) or isAfterHalvingMonths(2016, 7, 9, 0.25) or isAfterHalvingMonths(2020, 5, 11, 0.25) or isAfterHalvingMonths(2024, 4, 10, 1)) ? color.rgb(0, 255, 8, 75) : na, offset=+13)
bgcolor(ShowBackgroundColor and isMonthly and (isAfterHalvingMonths(2012, 11, 28, 0.25) or isAfterHalvingMonths(2016, 7, 9, 0.25) or isAfterHalvingMonths(2020, 5, 11, 0.25) or isAfterHalvingMonths(2024, 4, 10, 1)) ? color.rgb(0, 255, 8, 65) : na, offset=+14)
bgcolor(ShowBackgroundColor and isMonthly and (isAfterHalvingMonths(2012, 11, 28, 0.25) or isAfterHalvingMonths(2016, 7, 9, 0.25) or isAfterHalvingMonths(2020, 5, 11, 0.25) or isAfterHalvingMonths(2024, 4, 10, 1)) ? color.rgb(0, 255, 8, 55) : na, offset=+15)
bgcolor(ShowBackgroundColor and isMonthly and (isAfterHalvingMonths(2012, 11, 28, 0.25) or isAfterHalvingMonths(2016, 7, 9, 0.25) or isAfterHalvingMonths(2020, 5, 11, 0.25) or isAfterHalvingMonths(2024, 4, 10, 1)) ? color.rgb(0, 255, 8, 45) : na, offset=+16)
bgcolor(ShowBackgroundColor and isMonthly and (isAfterHalvingMonths(2012, 11, 28, 0.25) or isAfterHalvingMonths(2016, 7, 9, 0.25) or isAfterHalvingMonths(2020, 5, 11, 0.25) or isAfterHalvingMonths(2024, 4, 10, 1)) ? color.rgb(0, 255, 8, 40) : na, offset=+17)
// Define a variable for label x-coordinate
labelX = isDaily ? bar_index + 280 : bar_index + 0
// Draw Halving function for daily
drawHalving(y, m, d, align, align2) =>
line.new(bar_index, low, bar_index, high, xloc.bar_index, extend.both, color=color.rgb(255, 123, 0), style=line.style_dashed, width=3)
if (halvingdate)
label.new(bar_index, high, text='⛏\nHalving\n' + str.tostring(m) + '/' + str.tostring(d) + '/' + str.tostring(y) + '\n🟠', style=label.style_label_lower_right, textcolor=color.rgb(0, 0, 0), color=color.rgb(255, 136, 0, 5), textalign=text.align_center, yloc=yloc.abovebar, size=size.normal)
if isWeekly
label.new(WeeklyProfitSTART ? labelX + profitStartOffsetWeekly : na, na, text='Profit\nSTART\n🟢\n⛏\n40ʷ ᵃᵍᵒ', style=label.style_label_lower_right, textcolor=color.rgb(0, 0, 0), color=color.rgb(17, 255, 0), textalign=text.align_center, yloc=yloc.abovebar, size=size.normal)
label.new(WeeklyProfitEND ? labelX + profitEndOffsetWeekly : na, na, text='Profit\nEND\n🔴\n⛏\n80ʷ ᵃᵍᵒ', style=label.style_label_lower_left, textcolor=color.rgb(0, 0, 0), color=color.rgb(255, 0, 0), textalign=text.align_center, yloc=yloc.abovebar, size=size.normal)
label.new(DCAstart ? labelX + DCAstartOffsetWeekly : na, na, text='→\nDCA\n🟡\n⛏\n135ʷ ᵃᵍᵒ', style=label.style_label_up, textcolor=color.rgb(0, 0, 0), color=color.rgb(226, 246, 0, 25), textalign=text.align_center, yloc=yloc.belowbar, size=size.normal)
line.new(WeeklyProfitSTART ? labelX + profitStartOffsetWeekly : na, low, WeeklyProfitSTART ? labelX + profitStartOffsetWeekly : na, high, xloc.bar_index, extend.both, color=color.rgb(0, 255, 8), style=line.style_dotted, width=2)
line.new(WeeklyProfitEND ? labelX + profitEndOffsetWeekly : na, low, WeeklyProfitEND ? labelX + profitEndOffsetWeekly : na, high, xloc.bar_index, extend.both, color=color.rgb(255, 0, 0), style=line.style_dotted, width=2)
label.new(WeeklyProfitSTART ? labelX + profitStartOffsetWeekly : na, high, style=label.style_cross, yloc=yloc.abovebar, color=color.rgb(40, 255, 0), size=size.small)
label.new(WeeklyProfitEND ? labelX + profitEndOffsetWeekly : na, high, style=label.style_cross, yloc=yloc.abovebar, color=color.rgb(40, 255, 0), size=size.small)
label.new(DCAstart ? labelX + DCAstartOffsetWeekly + 0 : na, high, style=label.style_circle, yloc=yloc.belowbar, color=color.rgb(251, 226, 0), size=size.tiny)
label.new(DCAstart ? labelX + DCAstartOffsetWeekly + 12 : na, high, style=label.style_circle, yloc=yloc.belowbar, color=color.rgb(203, 249, 0, 35), size=size.tiny)
label.new(DCAstart ? labelX + DCAstartOffsetWeekly + 24 : na, high, style=label.style_circle, yloc=yloc.belowbar, color=color.rgb(170, 255, 59, 46), size=size.tiny)
label.new(DCAstart ? labelX + DCAstartOffsetWeekly + 36 : na, high, style=label.style_circle, yloc=yloc.belowbar, color=color.rgb(115, 255, 0, 58), size=size.tiny)
label.new(DCAstart ? labelX + DCAstartOffsetWeekly + 48 : na, high, style=label.style_circle, yloc=yloc.belowbar, color=color.rgb(38, 255, 0, 58), size=size.tiny)
if isMonthly
label.new(MonthlyProfitSTART ? labelX + profitStartOffsetMonthly : na, na, text='Profit\nSTART\n🟢\n⛏\n40ʷ ᵃᵍᵒ', style=label.style_label_lower_right, textcolor=color.rgb(0, 0, 0), color=color.rgb(17, 255, 0), textalign=text.align_center, yloc=yloc.abovebar, size=size.normal)
label.new(MonthlyProfitEND ? labelX + profitEndOffsetMonthly : na, na, text='Profit\nEND\n🔴\n⛏\n80ʷ ᵃᵍᵒ', style=label.style_label_lower_left, textcolor=color.rgb(0, 0, 0), color=color.rgb(255, 0, 0), textalign=text.align_center, yloc=yloc.abovebar, size=size.normal)
... (35 lines left)
Breakout Detection using EMAs and Mansfield Relative StrengthThis script identifies breakout opportunities based on a combination of price action, volume, and relative strength. It is designed for daily timeframe charts and helps traders pinpoint strong bullish setups with the following criteria:
Price Action: Stock price is above both the 10-day EMA and 5-week EMA.
EMA Trends: The 10-day EMA is above the 20-day EMA, and the 5-week EMA is above the 10-week EMA, confirming bullish momentum.
Customizable Parameters: Customize the index for the Mansfield Relative Strength, the volume multiplier, and the price breakout look-back period.
Price Breakout: The price is at a 3-month high, indicating strength.
Volume Breakout: A volume spike occurs, surpassing the 20-day average volume by a user-defined multiplier.
Features:
Generates clear breakout signals with a green triangle below the bar.
Integrated Mansfield Relative Strength for relative performance analysis.
Alerts for when all conditions are met, ensuring you never miss an opportunity.
How to Use:
Add this script to a daily chart of your chosen stock.
Look for green triangle signals indicating a potential breakout.
Adjust the parameters to suit your trading strategy and preferred index for the Mansfield Relative Strength.
This tool is ideal for swing traders looking to combine technical analysis with relative strength metrics for high-conviction bullish setups.
Optimized Impulse Wave Strategy for Speedy BTC Trades (3-Min)Looking to capitalize on rapid price movements in Bitcoin? The Optimized Impulse Wave Strategy is designed for high-frequency traders who thrive on short-term opportunities. Leveraging a combination of key technical indicators, this strategy aims to provide timely entries and exits with dynamic risk management.
Key Features:
📊 Indicators Used:
MACD Crossover: To identify momentum shifts.
200 EMA Trend Confirmation: For directional bias.
RSI (14): To gauge overbought/oversold conditions.
ADX (14): To confirm strong trends with a threshold filter.
ATR-based Stop Loss & Take Profit: Adaptive risk management.
⚡ Timeframe: 3-minute chart – ideal for scalping and short-term trades.
💡 Entry Logic:
Long Entry: Price above EMA, MACD bullish crossover, RSI > 50, and ADX strength confirmation.
Short Entry: Price below EMA, MACD bearish crossover, RSI < 50, and ADX strength confirmation.
🎯 Risk-Reward Ratio: Customizable with built-in ATR calculations to ensure strategic exits.
Performance:
✅ Win Rate: ~40% on BTC/USDT (3-min timeframe) in backtesting.
✅ Profit Factor: Carefully optimized to balance risk and reward.
✅ Trade Frequency: Frequent, perfect for active traders seeking volatility.
How to Use:
Apply the script to BTC/USDT on the 3-minute chart.
Watch for green buy arrows and red sell arrows to trigger trades.
Manage your risk using ATR-based stop-loss and take-profit levels.
Enable alerts for real-time trade signals.
⚠ Disclaimer: Past performance does not guarantee future results. Use proper risk management and test in a demo environment before live trading.
Follow for more trading strategies and share your thoughts below! 📩🔥
Optimized Impulse Wave Strategy - Precision Trading with 30% This strategy leverages a powerful combination of MACD, Elliott Wave, Fibonacci retracements, trend lines, and Hurst cycles to identify high-probability trade setups for BTC/USDT. Using a strict "decisive break" rule, it only considers trend line breaks valid when a full 4-hour candle opens and closes beyond the level, ensuring robust confirmation before entering trades.
With a 30% profitability rate, this script is fine-tuned to catch long-term impulse waves while minimizing false breakouts. Ideal for traders looking to balance precision with trend-following momentum.
Key Features:
📊 Multi-timeframe confirmation for stronger signals.
🔄 Automated entry/exit based on confluence of indicators.
🎯 Dynamic stop-loss and take-profit levels using Fibonacci extensions.
📈 Works on multiple timeframes, optimized for 3H and 4H charts.
⚠️ Backtested results show a consistent performance, but further optimizations are encouraged to tailor the strategy to market conditions.
🔔 Follow for more updates and strategy enhancements!
#CryptoTrading #ImpulseWave #TradingStrategy #MACD #ElliottWave #Fibonacci #TrendLines #Backtesting
Neural Network Proxy Strategy Alt by NHBprodHey, this is a trading strategy I’ve been working on. It uses a combination of three technical indicators: Bollinger Bands (to measure price volatility), Average True Range (ATR, to gauge price movement range), and Chaikin Money Flow (CMF, to check the flow of money in and out of an asset). The script normalizes each of these indicators which is essentially a simplified version of machine learning to create a single combined score, which is kind of like a neural network proxy. If this score goes above 0.5, it signals a potential buy, and if it goes below -0.5, it signals a potential sell. It’s pretty cool because you can tweak the weights of each indicator to suit different market conditions. It even plots the combined score on the chart to help visualize the signals!
This strategy is built for Bitcoin specifically, and it's applied on the 3 hour chart. Check out the results yourself. If you traded this strategy using Long only, then it yielded a staggering ~3% per trade, and there are hundreds of trades in this dataset!
Commission and slippage are included by the way!
If you want to trade this strategy in real time, I also have a pairing indicator script, and you can easily right click on the chart to create a 'buy' alert or a 'sell' alert that can be sent directly to your phone, or email. You can also set it up so that it sends a message to your trading broker so that it automatically purchases and sells based on this strategy. If you'd like help setting that up, let me know!
EBL - Enigma BOS LogicThe EBL - Enigma BOS Logic indicator is designed to detect key trend reversal points with precision by leveraging a unique concept based on two-candle price action analysis. Inspired by the balance of pairs in creation, this indicator identifies trend changes by focusing on significant bullish and bearish candle pairs, storing key levels, and waiting for confirmation to provide actionable trade signals. It goes beyond conventional trend-following indicators by offering real-time alerts and clear visual cues for traders.
How It Works
Bullish Setup:
The indicator identifies a bullish candle followed by a bearish candle. It then stores the high of the bullish candle as a potential reversal level.
A bullish confirmation occurs when a future bullish candle closes above the stored high. When this happens:
A green arrow is plotted below the confirming candle.
A horizontal green line is drawn at the stored high level, extending forward by a user-defined number of bars.
An alert is triggered to notify the trader of a confirmed bullish trend.
Bearish Setup:
The indicator identifies a bearish candle followed by a bullish candle. It stores the low of the bearish candle as a potential reversal level.
A bearish confirmation occurs when a future bearish candle closes below the stored low. When this happens:
A red arrow is plotted above the confirming candle.
A horizontal red line is drawn at the stored low level, extending forward by a user-defined number of bars.
An alert is triggered to notify the trader of a confirmed bearish trend.
Touch or Cross Alerts:
In addition to initial trend confirmation, the indicator tracks price movements relative to the drawn horizontal lines.
If the price returns to touch or cross a previously drawn horizontal line, an alert is triggered, indicating a potential re-entry or retracement opportunity.
Customization Options
To make the indicator versatile and adaptable for different trading styles, several customization options are provided:
Line Colors: Traders can customize the colors of the bullish and bearish lines.
Show/Hide Arrows and Lines: Users can choose whether to display the arrows and horizontal lines on the chart.
Line Length: The length of the horizontal lines (number of bars they extend into the future) is user-defined, offering flexibility based on trading timeframes and preferences.
Use Cases
Trend Reversal Detection: EBL is ideal for identifying key trend reversals, allowing traders to enter trades with a high probability of success.
Breakout Confirmation: The indicator provides visual and alert-based confirmation of breakouts beyond critical support or resistance levels.
Re-entry Opportunities: With alerts for price touching or crossing horizontal lines, traders can spot potential re-entry points during retracements.
Conceptual Foundation
The methodology behind this indicator is rooted in the principle that markets often move in pairs of bullish and bearish forces. By tracking the interaction between consecutive bullish and bearish candles and waiting for clear confirmations, this indicator ensures that only high-probability trend changes are signaled. This reduces noise and enhances trading accuracy, making it suitable for scalping, day trading, and swing trading across various timeframes.
How to Use
Apply the indicator to any chart and timeframe of your choice.
Set your preferred customization options, including line colors, arrow display, and line length.
Watch for arrows and listen for alerts to identify confirmed trend changes.
Pay attention to touch or cross alerts on horizontal lines, as these can signal potential re-entry or secondary trade opportunities.
Combine with other analysis: While EBL is powerful on its own, combining it with support/resistance analysis, moving averages, or volume indicators can further enhance its effectiveness.
This indicator is a powerful tool for traders seeking precision in identifying trend changes and actionable trade signals. Its unique logic, real-time alerts, and clear visual cues make it a valuable addition to any trader’s toolkit.
AI indicatorThis script is a trading indicator designed for future trading signals on the TradingView platform. It uses a combination of the Relative Strength Index (RSI) and a Simple Moving Average (SMA) to generate buy and sell signals. Here's a breakdown of its components and logic:
1. Inputs
The script includes configurable inputs to make it adaptable for different market conditions:
RSI Length: Determines the number of periods for calculating RSI. Default is 14.
RSI Overbought Level: Signals when RSI is above this level (default 70), indicating potential overbought conditions.
RSI Oversold Level: Signals when RSI is below this level (default 30), indicating potential oversold conditions.
Moving Average Length: Defines the SMA length used to confirm price trends (default 50).
2. Indicators Used
RSI (Relative Strength Index):
Measures the speed and change of price movements.
A value above 70 typically indicates overbought conditions.
A value below 30 typically indicates oversold conditions.
SMA (Simple Moving Average):
Used to smooth price data and identify trends.
Price above the SMA suggests an uptrend, while price below suggests a downtrend.
3. Buy and Sell Signal Logic
Buy Condition:
The RSI value is below the oversold level (e.g., 30), indicating the market might be undervalued.
The current price is above the SMA, confirming an uptrend.
Sell Condition:
The RSI value is above the overbought level (e.g., 70), indicating the market might be overvalued.
The current price is below the SMA, confirming a downtrend.
These conditions ensure that trades align with market trends, reducing false signals.
4. Visual Features
Buy Signals: Displayed as green labels (plotshape) below the price bars when the buy condition is met.
Sell Signals: Displayed as red labels (plotshape) above the price bars when the sell condition is met.
Moving Average Line: A blue line (plot) added to the chart to visualize the SMA trend.
5. How It Works
When the buy condition is true (RSI < 30 and price > SMA), a green label appears below the corresponding price bar.
When the sell condition is true (RSI > 70 and price < SMA), a red label appears above the corresponding price bar.
The blue SMA line helps to visualize the overall trend and acts as confirmation for signals.
6. Advantages
Combines Momentum and Trend Analysis:
RSI identifies overbought/oversold conditions.
SMA confirms whether the market is trending up or down.
Simple Yet Effective:
Reduces noise by using well-established indicators.
Easy to interpret for beginners and experienced traders alike.
Customizable:
Parameters like RSI length, oversold/overbought levels, and SMA length can be adjusted to fit different assets or timeframes.
7. Limitations
Lagging Indicator: SMA is a lagging indicator, so it may not capture rapid market reversals quickly.
Not Foolproof: No trading indicator can guarantee 100% accuracy. False signals can occur in choppy or sideways markets.
Needs Volume Confirmation: The script does not consider trading volume, which could enhance signal reliability.
8. How to Use It
Copy the script into TradingView's Pine Editor.
Save and add it to your chart.
Adjust the RSI and SMA parameters to suit your preferred asset and timeframe.
Look for buy signals (green labels) in uptrends and sell signals (red labels) in downtrends.
ELC Indicator**ELC Indicator – Enigma Liquidity Concept**
The ELC Indicator is a cutting-edge tool designed for traders who want to leverage price action and liquidity concepts for high-precision trading opportunities. Unlike conventional indicators that rely purely on trend-following or oscillatory methods, ELC incorporates a unique combination of market structure, Fibonacci retracement levels, and dynamic EMA filtering to detect key buy and sell zones. This original approach helps traders capture the most relevant market movements and anticipate potential reversals with higher confidence.
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### **What the ELC Indicator Does**
The primary goal of the ELC Indicator is to identify liquidity zones and plot Fibonacci-based levels around detected buy or sell signals. It continuously monitors price action to identify instances where significant liquidity grabs occur, signaled by breakouts beyond recent highs or lows. Once a signal is detected, the indicator plots horizontal lines at key Fibonacci ratios (0%, 25%, 50%, 75%, 100%, 120%, and 180%) to give traders a clear visual framework for potential retracement or extension levels.
Additionally, the indicator includes a dynamic EMA filter, which ensures that buy signals are only triggered when the price is above the EMA and sell signals when the price is below the EMA. This filtering mechanism helps reduce false signals in choppy markets and aligns trades with the broader trend direction.
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### **Key Features**
1. **Buy & Sell Signals**
- Buy signals are generated when a liquidity grab occurs below the previous low, and the closing price is above the candle body midpoint and the EMA.
- Sell signals are triggered when a liquidity grab occurs above the previous high, and the closing price is below the candle body midpoint and the EMA.
- Visual cues are provided via small upward (green) and downward (red) triangles on the chart.
2. **Fibonacci Levels**
- For each buy or sell signal, the indicator plots multiple horizontal lines at key Fibonacci levels. These levels can help traders set realistic profit targets and stop-loss levels.
- The plotted lines can be customized in terms of style (solid, dotted, dashed) and color (buy and sell line colors).
3. **Dynamic EMA Filtering**
- A customizable EMA filter is integrated into the logic to align trades with the prevailing trend.
- The EMA length is adjustable, allowing traders to fine-tune the indicator based on their trading style and market conditions.
4. **Alert System**
- Alerts can be enabled for both buy and sell signals, ensuring traders never miss an opportunity even when away from the screen.
- Alerts are triggered once per bar, ensuring timely notifications without excessive noise.
5. **Customizable Signal Visibility**
- Traders can toggle the visibility of the last 9 buy and sell signals. When this option is disabled, only the most recent signal is displayed, helping to declutter the chart.
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### **How to Use the ELC Indicator**
- **Trend Following**: The ELC Indicator works well in trending markets by filtering signals based on the EMA direction. Traders can use the plotted Fibonacci levels to enter trades, set profit targets, and manage risk.
- **Reversal Trading**: The liquidity grab detection mechanism allows traders to capture potential market reversals. By waiting for price retracements to key Fibonacci levels after a signal, traders can enter trades with a favorable risk-to-reward ratio.
- **Scalping & Day Trading**: With its ability to plot key intraday levels and generate real-time alerts, the ELC Indicator is particularly useful for scalpers and day traders looking to exploit short-term market inefficiencies.
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### **Concepts Underlying the Calculations**
1. **Liquidity Grabs**: The ELC Indicator’s core logic is based on detecting instances where the market moves beyond a recent high or low, triggering a liquidity grab. This often signals a potential reversal or continuation, depending on broader market conditions.
2. **Fibonacci Ratios**: Once a signal is detected, key Fibonacci levels are plotted to provide traders with actionable zones for trade entries, profit targets, or stop-loss placements.
3. **EMA Filtering**: The EMA acts as a dynamic trend filter, ensuring that signals are aligned with the dominant market direction. This reduces the likelihood of entering trades against the prevailing trend.
---
### **Why ELC is Unique**
The ELC Indicator stands out by combining multiple powerful trading concepts—liquidity, Fibonacci ratios, and EMA filtering—into a single tool that provides actionable and visually intuitive information. Unlike traditional trend-following indicators that lag behind price action, ELC proactively identifies key market turning points based on liquidity events. Its customizable features, real-time alerts, and comprehensive plotting of Fibonacci levels make it a versatile tool for traders across various styles and timeframes.
Whether you're a scalper looking for intraday opportunities or a swing trader aiming to capture larger moves, the ELC Indicator offers a robust framework for identifying and executing high-probability trades.
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### **How to Get Started**
1. Add the ELC Indicator to your chart.
2. Customize the EMA length, line colors, and style based on your preference.
3. Enable alerts to receive real-time notifications of buy and sell signals.
4. Use the plotted Fibonacci levels to plan your trade entries, profit targets, and stop-loss levels.
5. Combine the signals from ELC with your existing market analysis for optimal results.
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This unique approach makes the ELC Indicator a valuable tool for traders seeking precision, clarity, and consistency in their trading decisions.
Sanket_OpThis Pine Script detects and highlights bullish and bearish engulfing candle patterns on the chart. It also plots today's Open, High, Low, and Close (OHLC) values, along with an Exponential Moving Average (EMA) based on user input. The script is designed for visual analysis and can trigger alerts for pattern recognition.
Forex Hammer and Hanging Man StrategyThe strategy is based on two key candlestick chart patterns: Hammer and Hanging Man. These chart patterns are widely used in technical analysis to identify potential reversal points in the market. Their relevance in the Forex market, known for its high liquidity and volatile price movements, is particularly pronounced. Both patterns provide insights into market sentiment and trader psychology, which are critical in currency trading, where short-term volatility plays a significant role.
1. Hammer:
• Typically occurs after a downtrend.
• Signals a potential trend reversal to the upside.
• A Hammer has:
• A small body (close and open are close to each other).
• A long lower shadow, at least twice as long as the body.
• No or a very short upper shadow.
2. Hanging Man:
• Typically occurs after an uptrend.
• Signals a potential reversal to the downside.
• A Hanging Man has:
• A small body, similar to the Hammer.
• A long lower shadow, at least twice as long as the body.
• A small or no upper shadow.
These patterns are a manifestation of market psychology, specifically the tug-of-war between buyers and sellers. The Hammer reflects a situation where sellers tried to push the price down but were overpowered by buyers, while the Hanging Man shows that buyers failed to maintain the upward movement, and sellers could take control.
Relevance of Chart Patterns in Forex
In the Forex market, chart patterns are vital tools because they offer insights into price action and market sentiment. Since Forex trading often involves large volumes of trades, chart patterns like the Hammer and Hanging Man are important for recognizing potential shifts in market momentum. These patterns are a part of technical analysis, which aims to forecast future price movements based on historical data, relying on the psychology of market participants.
Scientific Literature on the Relevance of Candlestick Patterns
1. Behavioral Finance and Candlestick Patterns:
Research on behavioral finance supports the idea that candlestick patterns, such as the Hammer and Hanging Man, are relevant because they reflect shifts in trader psychology and sentiment. According to Lo, Mamaysky, and Wang (2000), patterns like these could be seen as representations of collective investor behavior, influenced by overreaction, optimism, or pessimism, and can often signal reversals in market trends.
2. Statistical Validation of Chart Patterns:
Studies by Brock, Lakonishok, and LeBaron (1992) explored the profitability of technical analysis strategies, including candlestick patterns, and found evidence that certain patterns, such as the Hammer, can have predictive value in financial markets. While their study primarily focused on stock markets, their findings are generally applicable to the Forex market as well.
3. Market Efficiency and Candlestick Patterns:
The efficient market hypothesis (EMH) posits that all available information is reflected in asset prices, but some studies suggest that markets may not always be perfectly efficient, allowing for profitable exploitation of certain chart patterns. For instance, Jegadeesh and Titman (1993) found that momentum strategies, which often rely on price patterns and trends, could generate significant returns, suggesting that patterns like the Hammer or Hanging Man may provide a slight edge, particularly in short-term Forex trading.
Testing the Strategy in Forex Using the Provided Script
The provided script allows traders to test and evaluate the Hammer and Hanging Man patterns in Forex trading by entering positions when these patterns appear and holding the position for a specified number of periods. This strategy can be tested to assess its performance across different currency pairs and timeframes.
1. Testing on Different Timeframes:
• The effectiveness of candlestick patterns can vary across different timeframes, as market dynamics change with the level of detail in each timeframe. Shorter timeframes may provide more frequent signals, but with higher noise, while longer timeframes may produce more reliable signals, but with fewer opportunities. This multi-timeframe analysis could be an area to explore to enhance the strategy’s robustness.
2. Exit Strategies:
• The script incorporates an exit strategy where positions are closed after holding them for a specified number of periods. This is useful for testing how long the reversal patterns typically take to play out and when the optimal exit occurs for maximum profitability. It can also help to adjust the exit logic based on real-time market behavior.
Conclusion
The Hammer and Hanging Man patterns are widely recognized in technical analysis as potential reversal signals, and their application in Forex trading is valuable due to the market’s high volatility and liquidity. This strategy leverages these candlestick patterns to enter and exit trades based on shifts in market sentiment and psychology. Testing and optimization, as offered by the script, can help refine the strategy and improve its effectiveness.
For further refinement, it could be valuable to consider combining candlestick patterns with other technical indicators or using multi-timeframe analysis to confirm patterns and increase the probability of successful trades.
References:
• Lo, A. W., Mamaysky, H., & Wang, J. (2000). Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation. The Journal of Finance, 55(4), 1705-1770.
• Brock, W., Lakonishok, J., & LeBaron, B. (1992). Simple Technical Trading Rules and the Stochastic Properties of Stock Returns. The Journal of Finance, 47(5), 1731-1764.
• Jegadeesh, N., & Titman, S. (1993). Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency. The Journal of Finance, 48(1), 65-91.
This provides a theoretical basis for the use of candlestick patterns in trading, supported by academic literature and research on market psychology and efficiency.
HTF CandlesHTF Candles, Plot of a Higher/Lower Timeframe Candles on any chart.
This HTF / LTF candle plot displays the previous 3 daily candles with the current update of the price with reference to a lower time frame.
Candles includes 3 Candles of HTF
last HTF candle includes 4 previous candles from LTF
Candle High Low Open Close are plotted.
these OHLC values act as Support and Resistance With reference to current Price.
very useful in making HTF and LTF analysis with reference to current timeframe.
Crypto Market Caps / Global GDP %This indicator compares the total market capitalization of various crypto sectors to the global Gross Domestic Product (GDP), expressed as a percentage. The purpose of this indicator is to provide a visual representation of the relative size of the crypto market compared to the global economy, allowing traders and analysts to understand how the market is growing in relation to the overall economy.
Key Features
Crypto Market Caps -
TOTAL: Represents the total market capitalization of all cryptocurrencies.
TOTAL3: Represents the market capitalization of all cryptocurrencies, excluding Bitcoin and Ethereum.
OTHERS: Represents the market capitalization of all cryptocurrencies excluding the top 10.
Global GDP -
The indicator uses a combination of GDP data from multiple regions across the world, including:
GDP from the EU, North America (NA), and other regions.
GDP data from Asia, Latin America (LATAM), and the Middle East & North Africa (MENA).
Percentage Representation -
The market caps (TOTAL, TOTAL3, OTHERS) are compared to the global GDP, and the result is expressed as a percentage. This allows you to easily see how the size of the cryptocurrency market compares to the entire global economy at any given time.
Plotting and Visualization
The indicator plots the market cap to global GDP ratio for each category (TOTAL, TOTAL3, OTHERS) on the chart.
You can choose which plots to display through user inputs.
The percentage scale makes it easy to compare how much of the global GDP is represented by different parts of the crypto market.
Labels can be added for additional clarity, showing the exact percentage value on the chart.
How to Use
The indicator provides a clear view of the cryptocurrency market's relative size compared to the global economy.
Higher values indicate that the crypto market (or a segment of it) is becoming a larger portion of the global economy.
Lower values suggest the crypto market is still a smaller segment of the global economic activity.
User Inputs
TOTAL/GlobalGDP: Toggle visibility for the total market capitalization of all cryptocurrencies.
TOTAL3/GlobalGDP: Toggle visibility for the market cap of cryptocurrencies excluding Bitcoin and Ethereum.
OTHERS/GlobalGDP: Toggle visibility for the market cap of cryptocurrencies excluding the top 10.
Labels: Enable or disable the display of labels showing the exact percentage values.
Practical Use Cases
Market Sentiment: Gauge the overall market sentiment and potential growth relative to global economic conditions.
Investment Decisions: Help identify when the crypto market is becoming more or less significant in the context of the global economy.
Macro Analysis: Combine this indicator with other macroeconomic indicators to gain deeper insights into the broader economic landscape.
By providing an easy-to-understand percentage representation, this indicator offers valuable insights for anyone interested in tracking the relationship between cryptocurrency market cap and global economic activity.
Gold Analysis and Scalping TradesIn this section, we opened three trades by analyzing waves and structures on the chart.
Gold could repeat this type of movement tomorrow as well, so be prepared.
Fibonacci RepulseFibonacci Repulse with Trend Table 📉📈
Description: The "Fibonacci Repulse" indicator for TradingView combines Fibonacci retracement levels with dynamic support/resistance detection, providing real-time price action insights. 🔄 This powerful tool plots critical Fibonacci retracement levels (23.6%, 38.2%, and 50%) based on the highest and lowest swing points over a user-defined lookback period. The indicator automatically detects bullish retests, alerting you when the price touches and closes above any of the Fibonacci levels, indicating potential upward momentum. 🚀
Key Features:
Fibonacci Retracement Levels 📊: Plots key levels (23.6%, 38.2%, 50%) dynamically based on the highest and lowest price swings over a customizable lookback period.
Bullish Retests Alerts ⚡: Identifies and marks bullish retests when the price touches the Fibonacci levels and closes above them, signaling potential upward movement.
Real-Time Trend Detection 🔍: Displays the current market trend as "Bullish," "Bearish," or "Sideways" in a clear, easy-to-read table in the bottom right corner of the chart. This is determined based on the price's position relative to the Fibonacci levels.
Customizable Settings ⚙️: Adjust the lookback period and label offsets for optimal visual customization.
How It Works:
The indicator calculates the Fibonacci retracement levels between the highest high and the lowest low within a user-defined period. 🧮
It draws extended lines at the 23.6%, 38.2%, and 50% retracement levels, updating them as the chart moves. 📉
When the price touches a Fibonacci level and closes above it, a "Bullish Retest" label appears, signaling a potential buy opportunity. 💡
A real-time trend status table updates automatically in the chart's bottom-right corner, helping traders quickly assess the market's trend direction: Bullish, Bearish, or Sideways. 🔄
Why Use It: This indicator is perfect for traders looking for a clear and visual way to incorporate Fibonacci levels into their trading strategies, with real-time feedback on trend direction and price action signals. Whether you are a novice or an experienced trader, "Fibonacci Repulse" provides a powerful tool for identifying potential reversal points and confirming trends, enhancing your trading strategy. 📈💪
Daytrading ES Wick Length StrategyThis Pine Script strategy calculates the combined length of upper and lower wicks of candlesticks and uses a customizable moving average (MA) to identify potential long entry points. The strategy compares the total wick length to the MA with an added offset. If the wick length exceeds the offset-adjusted MA, the strategy enters a long position. The position is automatically closed after a user-defined holding period.
Key Features:
1. Calculates the sum of upper and lower wicks for each candlestick.
2. Offers four types of moving averages (SMA, EMA, WMA, VWMA) for analysis.
3. Allows the user to set a customizable MA length and an offset to shift the MA.
4. Automatically exits positions after a specified number of bars.
5. Visualizes the wick length as a histogram and the offset-adjusted MA as a line.
References:
• Candlestick wick analysis: Nison, S. (1991). Japanese Candlestick Charting Techniques.
• Moving averages: Brock, W., Lakonishok, J., & LeBaron, B. (1992). “Simple Technical Trading Rules and the Stochastic Properties of Stock Returns”. Journal of Finance.
This strategy is suitable for identifying candlesticks with significant volatility and long wicks, which can indicate potential trend reversals or continuations.
Parabolic SAR This script provides an enhanced implementation of the Parabolic SAR (Stop and Reverse) indicator, a popular tool for identifying potential trend reversals in financial markets. The script incorporates additional features for improved usability and trading decision-making:
Key Features:
Customizable Parameters:
Initial Acceleration Factor: Start value for the SAR calculation.
Increment: Step value that increases the SAR during a trend.
Maximum Acceleration Factor: Cap for the SAR to prevent over-adjustment.
Buy & Sell Signals:
Buy Signal: Triggered when the price crosses above the SAR.
Sell Signal: Triggered when the price crosses below the SAR.
Signals are displayed as visually intuitive labels ("Buy" and "Sell") on the chart.
Alerts Integration:
Configurable alerts for buy and sell signals, allowing users to stay informed without actively monitoring the chart.
Dynamic Candle Coloring:
Candlesticks are dynamically colored based on the most recent signal:
Green: Buy signal (bullish trend).
Red: Sell signal (bearish trend).
Elegant SAR Plot:
The SAR is plotted as cross-style markers with a visually appealing magenta color.
How to Use:
Adjust the Initial Acceleration Factor, Increment, and Maximum Acceleration Factor in the input settings to match your trading style.
Enable alerts to receive notifications when buy or sell signals are generated.
Use the colored candlesticks as an additional confirmation tool to visualize market trends directly on the chart.
EMA + Stochastic Strategy (day trading)Setup Instructions
Exponential Moving Averages (EMA):
Use two EMAs:
50-period EMA for the overall trend.
20-period EMA for shorter-term movements.
Trend Confirmation:
If the 20 EMA is above the 50 EMA, focus on buy opportunities.
If the 20 EMA is below the 50 EMA, focus on sell opportunities.
Stochastic Oscillator:
Set Stochastic to a 14, 3, 3 period (default).
Overbought level = 80; Oversold level = 20.
Look for crossovers:
Buy: Stochastic %K crosses above %D in the oversold zone (below 20).
Sell: Stochastic %K crosses below %D in the overbought zone (above 80).
Entry and Exit Rules
Buy Signal:
The 20 EMA is above the 50 EMA, confirming an uptrend.
The Stochastic Oscillator is in the oversold zone (below 20), and %K crosses above %D.
Enter when the price retraces to and bounces off the 20 EMA in the direction of the trend.
Sell Signal:
The 20 EMA is below the 50 EMA, confirming a downtrend.
The Stochastic Oscillator is in the overbought zone (above 80), and %K crosses below %D.
Enter when the price retraces to and rejects off the 20 EMA in the direction of the trend.
Stop Loss and Take Profit
Stop Loss:
For buy trades: Place the stop loss below the recent swing low.
For sell trades: Place the stop loss above the recent swing high.
Take Profit:
Use a risk-to-reward ratio of 1:2 or higher.
Alternatively, exit the trade when Stochastic reaches the opposite extreme (80 for buys, 20 for sells).
Example
Scenario: GBP/USD on a 15-minute chart.
The 20 EMA is above the 50 EMA, indicating an uptrend.
The Stochastic Oscillator dips below 20, and %K crosses above %D.
Enter a buy trade when the price bounces off the 20 EMA.
Place a stop loss below the nearest swing low and a take profit at twice the risk.
Tips for Success
Avoid Choppy Markets: Ensure the EMAs are diverging, and there’s a clear trend.
Use Stochastic for Confirmation: Only take trades when the Stochastic Oscillator aligns with the EMA trend.
Combine with Price Action:
Watch for candlestick patterns (e.g., pin bars, engulfing candles) near the 20 EMA for additional confirmation.
Practice Discipline: Stick to your stop-loss and take-profit rules.
