120 SMA Bitcoin Trend-Momentum StrategyStrategy Rules
Entry Conditions:
Long Entry:
Price is above the 120 SMA (uptrend).
RSI crosses above 50 from below (indicates bullish momentum).
Exit Conditions:
Close the position:
When RSI moves into overbought/oversold territory and reverses (e.g., RSI crosses back below 70 for longs or above 30 for shorts).
Alternative: Use a trailing stop (optional).
Additional Parameters:
Timeframe: Works on both daily and weekly charts, with fewer trades on weekly.
Max Trades: The combination of trend filtering and momentum ensures only high-probability trades, limiting frequency.
Kitaran
Moon Phases by Shailesh DesaiTrading Strategy Based on Lunar Phases
This custom trading indicator leverages the power of lunar cycles to provide unique market insights based on the four primary moon phases: New Moon, First Quarter, Full Moon, and Third Quarter. By aligning your trades with the natural rhythm of the moon, this strategy offers a different perspective to trading and can help enhance decision-making based on the cyclical nature of the market.
Key Features:
1. Moon Phase Identification:
o The indicator automatically identifies the current moon phase based on the user's selected timeframe and marks it on the chart.
o Each phase is visualized with a specific symbol and color to help traders easily recognize the current moon phase:
New Moon/Waxing Moon: Represented by a circle (colored as per user input).
First Quarter: Represented by a cross (colored as per user input).
Full Moon/Waning Moon: Represented by a circle (colored as per user input).
Third Quarter: Represented by a cross (colored as per user input).
2. Automatic Moon Phase Transition Detection:
o The indicator tracks and highlights when a phase change occurs. This feature ensures you are always aware of when the market moves from one phase to another.
o Moon phase changes are only visualized on the first bar of each new phase to avoid cluttering the chart.
3. Background Color Indicators:
o The background color dynamically changes according to the current moon phase, helping to reinforce the phase context for the trader. This feature makes it easy to see at a glance which phase the market is in.
4. Customizable Appearance:
o Customize the color of each moon phase to suit your preferences. Adjust the colors for the New Moon, First Quarter, Full Moon, and Third Quarter to align with your visual strategy.
5. Avoids Unsupported Timeframes:
o This indicator does not support monthly timeframes, ensuring that it operates smoothly only on timeframes that are compatible with the lunar cycle.
How to Use:
• The moon phases are thought to have an influence on human behavior and the market's psychology, making this indicator useful for traders who wish to integrate lunar cycles into their strategy.
• Traders can use the phase changes as an indicator of potential market momentum or reversal points. For example:
o New Moon may indicate the beginning of a new cycle, signaling a potential upward or downward move.
o Full Moon might suggest a peak or significant shift in market direction.
o First Quarter and Third Quarter phases may represent moments of consolidation or decision points.
Ideal for:
• Traders interested in cycle-based strategies or looking to experiment with new approaches.
• Those who believe in the influence of natural forces, including moon phases, on market movements.
• Technical analysts who want to add another layer of insights to their chart analysis.
Important Notes:
• The indicator uses precise astronomical calculations to identify the correct phase, ensuring accuracy.
• It’s important to understand that moon phase-based trading is not a standalone strategy but should ideally be combined with other technical analysis tools for maximum effectiveness.
8888325335/@version=5
indicator("Bit Bite ht",shorttitle = "Bit Bite hindi technical", overlay = true)
src = input(hl2, title="Source",group = "Trend Continuation Signals with TP & SL")
Multiplier = input.float(2,title="Sensitivity (0.5 - 5)", step=0.1, defval=2, minval=0.5, maxval=5,group = "Trend Continuation Signals with TP & SL")
atrPeriods = input.int(14,title="ATR Length", defval=10,group = "Trend Continuation Signals with TP & SL")
atrCalcMethod= input.string("Method 1",title = "ATR Calculation Methods",options = ,group = "Trend Continuation Signals with TP & SL")
cloud_val = input.int(10,title = "Cloud Moving Average Length", defval = 10, minval = 5, maxval = 500,group = "Trend Continuation Signals with TP & SL")
stopLossVal = input.float(2.0, title="Stop Loss Percent (0 for Disabling)", minval=0,group = "Trend Continuation Signals with TP & SL")
showBuySellSignals = input.bool(true,title="Show Buy/Sell Signals", defval=true,group = "Trend Continuation Signals with TP & SL")
showMovingAverageCloud = input.bool(true, title="Show Cloud MA",group = "Trend Continuation Signals with TP & SL")
percent(nom, div) =>
100 * nom / div
src1 = ta.hma(open, 5)
src2 = ta.hma(close, 12)
momm1 = ta.change(src1)
momm2 = ta.change(src2)
f1(m, n) => m >= n ? m : 0.0
f2(m, n) => m >= n ? 0.0 : -m
m1 = f1(momm1, momm2)
m2 = f2(momm1, momm2)
sm1 = math.sum(m1, 1)
sm2 = math.sum(m2, 1)
cmoCalc = percent(sm1-sm2, sm1+sm2)
hh = ta.highest(2)
h1 = ta.dev(hh, 2) ? na : hh
hpivot = fixnan(h1)
ll = ta.lowest(2)
l1 = ta.dev(ll, 2) ? na : ll
lpivot = fixnan(l1)
rsiCalc = ta.rsi(close,9)
lowPivot = lpivot
highPivot = hpivot
sup = rsiCalc < 25 and cmoCalc > 50 and lowPivot
res = rsiCalc > 75 and cmoCalc < -50 and highPivot
atr2 = ta.sma(ta.tr, atrPeriods)
atr= atrCalcMethod == "Method 1" ? ta.atr(atrPeriods) : atr2
up=src-(Multiplier*atr)
up1 = nz(up ,up)
up := close > up1 ? math.max(up,up1) : up
dn=src+(Multiplier*atr)
dn1 = nz(dn , dn)
dn := close < dn1 ? math.min(dn, dn1) : dn
trend = 1
trend := nz(trend , trend)
trend := trend == -1 and close > dn1 ? 1 : trend == 1 and close < up1 ? -1 : trend
buySignal = trend == 1 and trend == -1
sellSignal = trend == -1 and trend == 1
pos = 0.0
pos:= buySignal? 1 : sellSignal ? -1 : pos
longCond = buySignal and pos != 1
shortCond = sellSignal and pos !=-1
entryOfLongPosition = ta.valuewhen(longCond , close, 0)
entryOfShortPosition = ta.valuewhen(shortCond, close, 0)
sl = stopLossVal > 0 ? stopLossVal / 262 : 99999
stopLossForLong = entryOfLongPosition * (1 - sl)
stopLossForShort = entryOfShortPosition * (1 + sl)
takeProfitForLong1R = entryOfLongPosition * (1 + sl)
takeProfitForShort1R = entryOfShortPosition * (1 - sl)
takeProfitForLong2R = entryOfLongPosition * (1 + sl*2)
takeProfitForShort2R = entryOfShortPosition * (1 - sl*2)
takeProfitForLong3R = entryOfLongPosition * (1 + sl*3)
takeProfitForShort3R = entryOfShortPosition * (1 - sl*3)
long_sl = low < stopLossForLong and pos ==1
short_sl = high> stopLossForShort and pos ==-1
takeProfitForLongFinal = high>takeProfitForLong3R and pos ==1
takeProfitForShortFinal = low 0?entryOfLongPosition :entryOfShortPosition , pos>0?lindex:sindex, pos>0?entryOfLongPosition :entryOfShortPosition , color=entryColor )
line.delete(lineEntry )
stopLine = line.new(bar_index, pos>0?stopLossForLong :stopLossForShort , pos>0?lindex:sindex, pos>0?stopLossForLong :stopLossForShort , color=color.red )
tpLine1 = line.new(bar_index, pos>0?takeProfitForLong1R:takeProfitForShort1R, pos>0?lindex:sindex, pos>0?takeProfitForLong1R:takeProfitForShort1R, color=color.green)
tpLine2 = line.new(bar_index, pos>0?takeProfitForLong2R:takeProfitForShort2R, pos>0?lindex:sindex, pos>0?takeProfitForLong2R:takeProfitForShort2R, color=color.green)
tpLine3 = line.new(bar_index, pos>0?takeProfitForLong3R:takeProfitForShort3R, pos>0?lindex:sindex, pos>0?takeProfitForLong3R:takeProfitForShort3R, color=color.green)
line.delete(stopLine )
line.delete(tpLine1 )
line.delete(tpLine2 )
line.delete(tpLine3 )
labelEntry = label.new(bar_index, pos>0?entryOfLongPosition :entryOfShortPosition , color=entryColor , textcolor=#000000, style=label.style_label_left, text="Entry Price: " + str.tostring(pos>0?entryOfLongPosition :entryOfShortPosition ))
label.delete(labelEntry )
labelStop = label.new(bar_index, pos>0?stopLossForLong :stopLossForShort , color=color.red , textcolor=#000000, style=label.style_label_left, text="Stop Loss Price: " + str.tostring(math.round((pos>0?stopLossForLong :stopLossForShort) *100)/100))
labelTp1 = label.new(bar_index, pos>0?takeProfitForLong1R:takeProfitForShort1R, color=color.green, textcolor=#000000, style=label.style_label_left, text="(1-1) Take Profit: " +str.tostring(math.round((pos>0?takeProfitForLong1R:takeProfitForShort1R) * 100)/100))
labelTp2 = label.new(bar_index, pos>0?takeProfitForLong2R:takeProfitForShort2R, color=color.green, textcolor=#000000, style=label.style_label_left, text="(2-1) Take Profit: " + str.tostring(math.round((pos>0?takeProfitForLong2R:takeProfitForShort2R) * 100)/100))
labelTp3 = label.new(bar_index, pos>0?takeProfitForLong3R:takeProfitForShort3R, color=color.green, textcolor=#000000, style=label.style_label_left, text="(3-1) Take Profit: " + str.tostring(math.round((pos>0?takeProfitForLong3R:takeProfitForShort3R) * 100)/100))
label.delete(labelStop )
label.delete(labelTp1 )
label.delete(labelTp2 )
label.delete(labelTp3 )
changeCond = trend != trend
smaSrcHigh = ta.ema(high,cloud_val)
smaSrcLow = ta.ema(low, cloud_val)
= ta.macd(close, 12, 26, 9)
plot_high = plot(showMovingAverageCloud? smaSrcHigh : na, color = na, transp = 1, editable = false)
plot_low = plot(showMovingAverageCloud? smaSrcLow : na, color = na, transp = 1, editable = false)
plotshape(longCond ? up : na, title="UpTrend Begins", location=location.belowbar, style=shape.circle, size=size.tiny, color=color.new(color.teal,transp = 50) )
plotshape(longCond and showBuySellSignals ? up : na, title="Buy kar lo", text="Buy kar lo", location=location.belowbar, style=shape.labelup, size=size.tiny, color=color.new(color.teal,transp = 50), textcolor=color.white )
plotshape(shortCond ? dn : na, title="DownTrend Begins", location=location.abovebar, style=shape.circle, size=size.tiny, color=color.new(color.red,transp = 50) )
plotshape(shortCond and showBuySellSignals ? dn : na, title="Sell kar do", text="Sell kar do", location=location.abovebar, style=shape.labeldown, size=size.tiny, color=color.new(color.red,transp = 50), textcolor=color.white)
fill(plot_high, plot_low, color = (macdLine > 0) and (macdLine > macdLine ) ? color.new(color.aqua,transp = 85) : na, title = "Positive Cloud Uptrend")
fill(plot_high, plot_low, color = macdLine > 0 and macdLine < macdLine ? color.new(color.aqua,transp = 85) : na, title = "Positive Cloud Downtrend")
fill(plot_high, plot_low, color = macdLine < 0 and macdLine < macdLine ? color.new(color.red,transp = 85) : na, title = "Negative Cloud Uptrend")
fill(plot_high, plot_low, color = macdLine < 0 and macdLine > macdLine ? color.new(color.red,transp = 85) : na, title = "Negative Cloud Downtrend")
mPlot = plot(ohlc4, title="", style=plot.style_circles, linewidth=0)
alertcondition(changeCond, title="Trend Direction Change ", message="Trend direction has changed ! ")
alertLongText = str.tostring(syminfo.ticker) + " BUY ALERT! " +
"Entry Price: " + str.tostring(entryOfLongPosition) +
", Take Profit 1: " + str.tostring(takeProfitForLong1R) +
", Take Profit 2: " + str.tostring(takeProfitForLong2R) +
", Take Profit 3: " + str.tostring(takeProfitForLong3R) +
", Stop Loss Price: " + str.tostring(stopLossForLong)
alertShortText = str.tostring(syminfo.ticker) + " SELL ALERT!" +
", Entry Price: " + str.tostring(entryOfShortPosition) +
", Take Profit 1: " + str.tostring(takeProfitForShort1R) +
", Take Profit 2: " + str.tostring(takeProfitForShort2R) +
", Take Profit 3: " + str.tostring(takeProfitForShort3R) +
", Stop Loss Price: " + str.tostring(stopLossForShort)
longJson = '{"content": "' + alertLongText + '"}'
shortJson = '{"content": "' + alertShortText + '"}'
if longCond
alert(longJson, alert.freq_once_per_bar_close)
if shortCond
alert(shortJson, alert.freq_once_per_bar_close)
20-Day FLD CycleSimple Moving Average (SMA): A 20-day SMA is calculated based on the closing price.
FLD Line: The SMA is used as the FLD line and plotted on the chart.
Buy/Sell Signals: Signals are generated when the price crosses above (buy) or below (sell) the SMA.
Alerts: Alerts are set up for buy and sell signals.
candle close alarmA simple Alarm to each candle close, helpfull to keep your eye in the right moment to open a position.
SATYA MacroTrading Macro timings is used to trade ict chartInner Circle Trading (ICT) offers a sophisticated lens through which traders can view and interpret market movements, providing traders with insights that go beyond conventional technical analysis. This article explores key ICT concepts, aiming to equip traders with a thorough understanding of how these insights can be applied to enhance their trading decisions.
Introduction to the Inner Circle Trading Methodology
Inner Circle Trading (ICT) methodology is a sophisticated approach to financial markets that zeroes in on the behaviours of large institutional traders. Unlike conventional trading methods, ICT is not merely about recognising patterns in price movements but involves understanding the intentions behind those movements. It is part of the broader Smart Money Concept (SMC), which analyses how major players influence the market.
Key Inner Circle Trading Concepts
Within the ICT methodology, there are many concepts to learn. Below, we’ve explained the most fundamental ideas central to ICT trading. To understand these concepts better, consider following along in FXOpen’s free TickTrader platform.
Structure
Understanding the structure of a market is fundamental to effectively employing the ICT methodology. In the context of ICT, market structure is defined by the identification of trends through specific patterns of highs and lows.
Kronus 1-Hour High/Low Sweeps with Alerts
Hourly High/Low Monitoring: Tracks the high and low levels of hourly candles in real-time.
Sweep Detection: Identifies when the price sweeps above the hourly high or below the hourly low.
Line Drawing: Automatically draws a line on the chart to mark the swept hourly high or low.
Alert System: Sends instant alerts whenever a sweep occurs.
Horizontale Linien V2Horizontale Linien
Startpreis, Abstand, Anzahl der Linien und Farbe ist anpassbar
Combined Indicators (Fractals, EMAs, CCI, Volume, SMMA)Combined Indicators (Fractals, EMAs, CCI, Volume, SMMA)
Yearly Profit BackgroundDescription:
The Yearly Profit Background indicator is a powerful tool designed to help traders quickly visualize the profitability of each calendar year on their charts. By analyzing the annual performance of an asset, this indicator colors the background of each completed year green if the year was profitable (close > open) or red if it resulted in a loss (close < open). This visual representation allows traders to identify long-term trends and historical performance at a glance.
Key Features:
Annual Profit Calculation: Automatically calculates the yearly performance based on the opening price of January 1st and the closing price of December 31st.
Visual Background Coloring: Highlights each completed year with a green (profit) or red (loss) background, making it easy to spot trends.
Customizable Transparency: The background colors are set at 90% transparency, ensuring they don’t obstruct your chart analysis.
Optional Price Plots: Displays the annual opening (blue line) and closing (orange line) prices for additional context.
How to Use:
Add the indicator to your chart.
Observe the background colors for each completed year:
Green: The year was profitable.
Red: The year resulted in a loss.
Use the optional price plots to analyze annual opening and closing levels.
Ideal For:
Long-term investors analyzing historical performance.
Traders looking to identify multi-year trends.
Anyone interested in visualizing annual market cycles.
Why Use This Indicator?
Understanding the annual performance of an asset is crucial for making informed trading decisions. The Yearly Profit Background indicator simplifies this process by providing a clear, visual representation of yearly profitability, helping you spot patterns and trends that might otherwise go unnoticed.
AllDay Session TimesIndicator: Custom Session Times
This indicator is designed to assist traders by visualizing specific trading session times on the TradingView platform. It highlights two important trading sessions: the Day Session and the Evening Session, providing a visual aid that helps traders navigate the markets with greater accuracy.
Day Session Time Range:
Starts: 10:55 UTC+2
Ends: 13:30 UTC+2
Evening Session Time Range:
Starts: 16:55 UTC+2
Ends: 18:30 UTC+2
How It Works:
Colors and Backgrounds: This indicator uses background colors to differentiate the sessions. The green background appears during the Day Session, while the blue background indicates the Evening Session.
Lines: Session time ranges are also marked with clear lines on the chart, making it easier to identify the specific session periods.
Time Zone: The time zone is set to UTC+2 (Europe/Helsinki), but it can easily be adjusted to match your local time zone.
Why Use This Indicator?
This indicator is especially useful for traders who focus on specific market sessions. For example:
The Day Session might be when the market is more active, and trends are clearer.
The Evening Session could be a good time to observe market adjustments based on the events of the day and find potential trading opportunities.
By visualizing these specific time frames, the indicator helps reduce distractions and enables a more focused approach to trading.
Use Cases:
This indicator is ideal for:
Day traders and swing traders who want to focus on certain market sessions.
Technical analysts who prefer to visualize market behavior within specific time frames.
Strategy optimization and a more precise assessment of market conditions.
Features:
Visual session markers that help traders focus on key trading periods.
Easy customization of time zone and session time ranges.
Background colors and lines that improve chart readability and session tracking.
Made By AllDayEsa
Señales de Compra y VentaDescripciòn
Medias Móviles:
Se utilizan dos medias móviles: una corta (9 períodos) y una larga (21 períodos). La señal de compra se genera cuando la media móvil corta cruza por encima de la media larga, indicando una tendencia alcista.
La señal de venta se genera cuando la media móvil corta cruza por debajo de la media larga, lo que indica una posible reversión bajista.
RSI (Índice de Fuerza Relativa):
El RSI es usado para detectar condiciones de sobrecompra (cuando el RSI es mayor a 70) o sobreventa (cuando el RSI es menor a 30).
Las condiciones de sobreventa se consideran como una oportunidad de compra, y las condiciones de sobrecompra se consideran como una señal de venta.
Señales en el gráfico:
Las señales de compra se marcan con un verde debajo de la barra.
Las señales de venta se marcan con un rojo encima de la barra.
RSI gráfico:
El RSI también se muestra en un gráfico en el panel inferior con líneas horizontales para marcar los niveles de sobrecompra (70) y sobreventa (30).
Auto Wyckoff Schematic [by DanielM]This indicator is designed to automatically detect essential components of Wyckoff schematics. This tool aims to capture the critical phases of liquidity transfer from weak to strong hands, occurring before a trend reversal. While the Wyckoff method is a comprehensive and a very nuanced approach, every Wyckoff schematic is unique, making it impractical to implement all its components without undermining the detection of the pattern. Consequently, this script focuses on the essential elements critical to identifying these schematics effectively.
Key Features:
Swing Detection Sensitivity:
The sensitivity of swing detection is adjustable through the input parameter. This parameter controls the number of past bars analyzed to determine swing highs and lows, allowing users to fine-tune detection based on market volatility and timeframes.
Pattern Detection Logic:
Accumulation Schematic:
Detects consecutive lower swing lows, representing phases like Selling Climax (SC) and Spring, which often precede a trend reversal upward. After the final low is identified, a higher high is detected to confirm the upward trend initiation.
Labeled Key Points:
SC: Selling Climax, marking the beginning of the accumulation zone.
ST: Secondary Test during the schematic.
ST(b): Secondary Test in phase B.
Spring: The lowest point in the schematic, signaling a final liquidity grab.
SOS: Sign of Strength, confirming a bullish breakout.
The schematic is outlined visually with a rectangle to highlight the price range.
Distribution Schematic:
Detects consecutive higher swing highs, which indicate phases such as Buying Climax (BC) and UTAD, often leading to a bearish reversal. After the final high, a lower low is detected to confirm the downward trend initiation.
Labeled Key Points:
BC: Buying Climax, marking the beginning of the distribution zone.
ST: Secondary Test during the schematic.
UT: Upthrust.
UTAD: Upthrust After Distribution, signaling the final upward liquidity grab before a bearish trend.
SOW: Sign of Weakness, confirming a bearish breakout.
The schematic is visually outlined with a rectangle to highlight the price range.
Notes:
Simplification for Practicality: Due to the inherent complexity and variability of Wyckoff schematics, the indicator focuses only on the most essential features—liquidity transfer and key reversal signals.
Limitations: The tool does not account for all components of Wyckoff's method (e.g., minor phases or nuanced volume analysis) to maintain clarity and usability.
Unique Behavior: Every Wyckoff schematic is different, and this tool is designed to provide a simplified, generalized approach to detecting these unique patterns.
First five-Minute Candle RangePersonal use First five-Minute Candle Range First five-Minute Candle Range
Demand Zone FinderSwing Low Detection: The script identifies swing lows using the ta.lowest function over a user-defined period (length).
2. Demand Zone Range: A buffer is added to the swing low price to define the zone range.
3. Drawing Zones: Horizontal lines representing the demand zone are drawn on the chart and extended to the right.
4. Customization: You can adjust the swing length (length) and the buffer percentage (buffer) via inputs.
Bullish/Bearish Indicator [ilkaykaratepe]Bullish/Bearish Reversal Bars Indicator with Support/Resistance
WaveTrend V4The **WaveTrend V4** indicator combines MACD and WaveTrend oscillators to identify trends and potential reversal points. Here's a simplified guide to using it:
---
### **Key Components**
1. **WaveTrend Lines**
- **Green Line (WT1):** Fast-moving oscillator.
- **Red Line (WT2):** Slow-moving signal line.
- **Overbought (-60)/Oversold (60):** Horizontal dashed lines marking extremes.
2. **MACD Lines**
- **Blue Line (MACD):** Standard MACD line.
- **Purple Line (Smoothed MACD):** Smoothed version of the MACD.
- **Orange Line (Signal):** MACD signal line.
3. **Background Colors**
- **Green:** Uptrend (buying pressure).
- **Red:** Downtrend (selling pressure).
- **Yellow:** Indecision/neutral market.
---
### **How to Use It**
1. **Trend Identification**
- **Buy Signal:** Green background + WT1 crosses **above** WT2 (especially if both are below -60).
- **Sell Signal:** Red background + WT1 crosses **below** WT2 (especially if both are above 60).
- **Indecision:** Yellow background – avoid taking positions until trend clarifies.
2. **Overbought/Oversold Zones**
- **Oversold (WT1 < -60):** Potential buying opportunity if WT1 starts rising.
- **Overbought (WT1 > 60):** Potential selling opportunity if WT1 starts falling.
3. **MACD Confirmation**
- Look for alignment between the **smoothed MACD** (purple) crossing the **signal line** (orange) and the WaveTrend trend color.
4. **Divergence**
- **Bullish Divergence:** Price makes lower lows, but WT1 forms higher lows.
- **Bearish Divergence:** Price makes higher highs, but WT1 forms lower highs.
---
### **Pro Tips**
- Combine with price action (support/resistance) for higher accuracy.
- Avoid trading in "yellow" zones (indecision).
- Use stop-losses to manage risk during false signals.
This indicator works best in **trending markets** – be cautious in sideways conditions!
200 MA and 50 MA Crossover AlertAlerts when 200 MA and 50 MA merge
Helps to find the direction of the stock.
If 200 MA goes up and 50 MA comes down - after a good market run it is good probablity for correction - check for Fed , CPI , bad results or overbought conditions
If 50 MA goes up and cross 200 MA then - its a good uptrend if the market has had bad last week and there is anticipation for economic events , Earnings and conference in any sectors.
Always check RSI during the trade - 25 or 80 - Oversold or Overbought
Do not use advanced science - use simple common sense to trade - Best trades happen when you zoom out not with tunnel effect
