Индикаторы и стратегии
ES/NQ DD Range IndicatorDD Bands for RS Community
v1:
DD band values are fixed in code for now
ES - 40 points
NQ - 152.5 points
Added converted DD values for spy and qqq
CobynRushs PPO/ADX Pinch StrategyThis tool can help analyze the momentum and trend strength of an asset to identify:
Periods of Strong Trends: Indicated by a high ADX.
Potential Reversals or Breakouts: Highlighted during "pinch zones."
Momentum Shifts: Tracked using the PPO Line, Signal Line, and histogram.
The script uses the asset's closing price to calculate all indicators, providing actionable insights for both short-term and long-term trading strategies.\This Pine Script plots two technical indicators, the Percentage Price Oscillator (PPO) and the Average Directional Index (ADX), for the underlying asset (e.g., stock, forex pair, or cryptocurrency). It helps identify periods of trend strength and potential price "pinch" zones, which can signal consolidations or reversals.
Определение точек разворотаПоказывает в реальном времени точку разворота на покупку или продажу
Определение точки разворота основано на анализе функциональных, действенных паттернов и индикаторов.
Маркер зеленый треугольник указывает на восходящий тренд, красный на нисходящий.
В настройках возможно настроить уведомления.
RSI 10 mã thể hiện 4 khung thời gian//@version=6
indicator("Multi-Timeframe RSI with Divergence Alerts in Table", overlay=true)
// Inputs
rsiLength = input.int(14, title="RSI Length")
source = input.source(close, title="Source")
// Inputs for custom symbols (10 pairs)
symbol1 = input.string("BTC/USDT", title="Symbol 1")
symbol2 = input.string("ETH/USDT", title="Symbol 2")
symbol3 = input.string("LTC/USDT", title="Symbol 3")
symbol4 = input.string("XRP/USDT", title="Symbol 4")
symbol5 = input.string("ADA/USDT", title="Symbol 5")
symbol6 = input.string("SOL/USDT", title="Symbol 6")
symbol7 = input.string("DOGE/USDT", title="Symbol 7")
symbol8 = input.string("MATIC/USDT", title="Symbol 8")
symbol9 = input.string("BNB/USDT", title="Symbol 9")
symbol10 = input.string("AVAX/USDT", title="Symbol 10")
// RSI Calculations for custom symbols
rsi(symbol, timeframe) =>
request.security(symbol, timeframe, ta.rsi(source, rsiLength))
// RSI Calculations for timeframes (H1, H4, D1, W) for the custom symbols
rsi1H1 = rsi(symbol1, "60")
rsi2H1 = rsi(symbol2, "60")
rsi3H1 = rsi(symbol3, "60")
rsi4H1 = rsi(symbol4, "60")
rsi5H1 = rsi(symbol5, "60")
rsi6H1 = rsi(symbol6, "60")
rsi7H1 = rsi(symbol7, "60")
rsi8H1 = rsi(symbol8, "60")
rsi9H1 = rsi(symbol9, "60")
rsi10H1 = rsi(symbol10, "60")
rsi1H4 = rsi(symbol1, "240")
rsi2H4 = rsi(symbol2, "240")
rsi3H4 = rsi(symbol3, "240")
rsi4H4 = rsi(symbol4, "240")
rsi5H4 = rsi(symbol5, "240")
rsi6H4 = rsi(symbol6, "240")
rsi7H4 = rsi(symbol7, "240")
rsi8H4 = rsi(symbol8, "240")
rsi9H4 = rsi(symbol9, "240")
rsi10H4 = rsi(symbol10, "240")
rsi1D1 = rsi(symbol1, "D")
rsi2D1 = rsi(symbol2, "D")
rsi3D1 = rsi(symbol3, "D")
rsi4D1 = rsi(symbol4, "D")
rsi5D1 = rsi(symbol5, "D")
rsi6D1 = rsi(symbol6, "D")
rsi7D1 = rsi(symbol7, "D")
rsi8D1 = rsi(symbol8, "D")
rsi9D1 = rsi(symbol9, "D")
rsi10D1 = rsi(symbol10, "D")
rsi1W = rsi(symbol1, "W")
rsi2W = rsi(symbol2, "W")
rsi3W = rsi(symbol3, "W")
rsi4W = rsi(symbol4, "W")
rsi5W = rsi(symbol5, "W")
rsi6W = rsi(symbol6, "W")
rsi7W = rsi(symbol7, "W")
rsi8W = rsi(symbol8, "W")
rsi9W = rsi(symbol9, "W")
rsi10W = rsi(symbol10, "W")
// Alert levels
upperLevel = 80
lowerLevel = 30
// Table creation (adjusted size to fit 10 symbols and 4 timeframes)
var table rsiTable = table.new(position.top_right, 15, 5, border_width=1) // Added 10 rows for symbols, and 4 columns for timeframes
// Functions for RSI status and color
fun_rsiStatus(rsiValue) =>
if (rsiValue > upperLevel)
"Overbought"
else if (rsiValue < lowerLevel)
"Oversold"
else
"Neutral"
fun_rsiColor(rsiValue) =>
if (rsiValue > upperLevel)
color.new(color.red, 0)
else if (rsiValue < lowerLevel)
color.new(color.green, 0)
else
color.new(color.gray, 50)
fun_textColor() =>
color.new(color.white, 0)
// Update Table headers
table.cell(rsiTable, 0, 0, "Symbol", text_color=fun_textColor(), bgcolor=color.new(color.gray, 70))
table.cell(rsiTable, 0, 1, "H1 RSI", text_color=fun_textColor(), bgcolor=color.new(color.gray, 70))
table.cell(rsiTable, 0, 2, "H4 RSI", text_color=fun_textColor(), bgcolor=color.new(color.gray, 70))
table.cell(rsiTable, 0, 3, "D1 RSI", text_color=fun_textColor(), bgcolor=color.new(color.gray, 70))
table.cell(rsiTable, 0, 4, "Weekly RSI", text_color=fun_textColor(), bgcolor=color.new(color.gray, 70))
// Display RSI for each symbol and timeframe
// Symbol 1
table.cell(rsiTable, 1, 0, symbol1, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 1, 1, str.tostring(rsi1H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi1H1))
table.cell(rsiTable, 1, 2, str.tostring(rsi1H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi1H4))
table.cell(rsiTable, 1, 3, str.tostring(rsi1D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi1D1))
table.cell(rsiTable, 1, 4, str.tostring(rsi1W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi1W))
// Symbol 2
table.cell(rsiTable, 2, 0, symbol2, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 2, 1, str.tostring(rsi2H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi2H1))
table.cell(rsiTable, 2, 2, str.tostring(rsi2H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi2H4))
table.cell(rsiTable, 2, 3, str.tostring(rsi2D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi2D1))
table.cell(rsiTable, 2, 4, str.tostring(rsi2W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi2W))
// Repeat for other symbols (3 to 10)...
// Symbol 3
table.cell(rsiTable, 3, 0, symbol3, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 3, 1, str.tostring(rsi3H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi3H1))
table.cell(rsiTable, 3, 2, str.tostring(rsi3H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi3H4))
table.cell(rsiTable, 3, 3, str.tostring(rsi3D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi3D1))
table.cell(rsiTable, 3, 4, str.tostring(rsi3W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi3W))
// Symbol 4
table.cell(rsiTable, 4, 0, symbol4, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 4, 1, str.tostring(rsi4H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi4H1))
table.cell(rsiTable, 4, 2, str.tostring(rsi4H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi4H4))
table.cell(rsiTable, 4, 3, str.tostring(rsi4D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi4D1))
table.cell(rsiTable, 4, 4, str.tostring(rsi4W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi4W))
// Symbol 5
table.cell(rsiTable, 5, 0, symbol5, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 5, 1, str.tostring(rsi5H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi5H1))
table.cell(rsiTable, 5, 2, str.tostring(rsi5H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi5H4))
table.cell(rsiTable, 5, 3, str.tostring(rsi5D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi5D1))
table.cell(rsiTable, 5, 4, str.tostring(rsi5W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi5W))
// Symbol 6
table.cell(rsiTable, 6, 0, symbol6, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 6, 1, str.tostring(rsi6H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi6H1))
table.cell(rsiTable, 6, 2, str.tostring(rsi6H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi6H4))
table.cell(rsiTable, 6, 3, str.tostring(rsi6D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi6D1))
table.cell(rsiTable, 6, 4, str.tostring(rsi6W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi6W))
// Symbol 7
table.cell(rsiTable, 7, 0, symbol7, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 7, 1, str.tostring(rsi7H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi7H1))
table.cell(rsiTable, 7, 2, str.tostring(rsi7H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi7H4))
table.cell(rsiTable, 7, 3, str.tostring(rsi7D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi7D1))
table.cell(rsiTable, 7, 4, str.tostring(rsi7W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi7W))
// Symbol 8
table.cell(rsiTable, 8, 0, symbol8, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 8, 1, str.tostring(rsi8H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi8H1))
table.cell(rsiTable, 8, 2, str.tostring(rsi8H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi8H4))
table.cell(rsiTable, 8, 3, str.tostring(rsi8D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi8D1))
table.cell(rsiTable, 8, 4, str.tostring(rsi8W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi8W))
// Symbol 9
table.cell(rsiTable, 9, 0, symbol9, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 9, 1, str.tostring(rsi9H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi9H1))
table.cell(rsiTable, 9, 2, str.tostring(rsi9H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi9H4))
table.cell(rsiTable, 9, 3, str.tostring(rsi9D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi9D1))
table.cell(rsiTable, 9, 4, str.tostring(rsi9W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi9W))
// Symbol 10
table.cell(rsiTable, 10, 0, symbol10, text_color=fun_textColor(), bgcolor=color.new(color.gray, 50))
table.cell(rsiTable, 10, 1, str.tostring(rsi10H1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi10H1))
table.cell(rsiTable, 10, 2, str.tostring(rsi10H4, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi10H4))
table.cell(rsiTable, 10, 3, str.tostring(rsi10D1, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi10D1))
table.cell(rsiTable, 10, 4, str.tostring(rsi10W, "#.##"), text_color=color.new(color.white, 0), bgcolor=fun_rsiColor(rsi10W))
Świece bez knota (Marubozu) z alertamiZapraszam do korzystania! Kiedy pojawia sie czerwień sell a kiedy zielony buy.
SL (Daily ATR/3 from Yesterday)n den 1950er und 1960er Jahren kam es zwischen den USA und der Sowjetunion zum sogenannten Wettlauf ins All.
Der erste von Menschen konstruierte Raumflugkörper auf dem Mond war die sowjetische Sonde Lunik 2, die am 13. September 1959 gezielt auf dem Mond aufschlug. Der US-amerikanische Flugkörper Ranger 4 stürzte nach einem Kontaktabbruch am 26. April 1962 auf der Rückseite des Mondes ab. Die Raumsonden Ranger 7, 8 und 9 konnten 1964 und 1965 vor ihrem Aufschlag (planmäßig harte Landungen) jeweils Tausende von Bildern zur Erde übertragen. Am 3. Februar 1966 landete die sowjetische Luna 9 als erster Flugkörper weich auf dem Mond, und mit Surveyor 1 am 2. Juni 1966 auch erstmals eine US-amerikanische Sonde.
Die erste bemannte Flugmission zum Mond (ohne Landung auf dem Trabanten) war Apollo 8 im Dezember 1968. Frank Borman, William Anders und James („Jim“) Lovell umkreisten den Mond 10 Mal und waren die ersten Menschen, die mit eigenen Augen die Rückseite des Mondes sahen. Am 21. Juli 1969 um 3:56 Uhr MEZ betraten im Zuge der Mission Apollo 11 die ersten Menschen den Mond, Neil Armstrong und Buzz Aldrin. In den folgenden drei Jahren fanden fünf weitere bemannte Mondlandungen des Apollo-Programms statt.
Vermutlich versuchte die Sowjetunion, noch vor Apollo 11 Mondgestein zur Erde zu bringen. Dies gelang allerdings erst mit der am 20. September 1970 gelandeten Sonde Luna 16. Das geplante sowjetische bemannte Mondprogramm wurde nicht verwirklicht.
Als dritter Nation gelang der Volksrepublik China eine weiche Mondlandung; die chinesische Sonde Chang’e-3 setzte am 14. Dezember 2013 auf dem Mond auf. Am 3. Januar 2019 landete mit Chang'e-4 erstmals eine Sonde weich auf der Mondrückseite. Mit Chang’e 5 brachte die Volksrepublik China im Dezember 2020 auch als drittes Land Bodenproben vom Mond auf die Erde.
Der jeweils erste Landeversuch der indischen Raumfahrtbehörde ISRO und eines israelischen Privatprojekts schlug fehl, die beiden Sonden Chandrayaan-2 und Beresheet zerschellten im Jahr 2019 auf der Mondoberfläche. Im zweiten Versuch war Indien dann erfolgreich, Chandrayaan-3 landete am 23. August 2023 weich im südlichen Bereich der Mondvorderseite. Als fünftem Land gelang Japan am 19. Januar 2024 eine Mondlandung mit dem Smart Lander for Investigating Moon (SLIM).
Multi-Timeframe Pattern & Trend Forecast - Akash 1this indicator forecasts and share signals based on multi timeframe and trends based on EMAs.
ATR Percentage Covered% of ATR covered from yesterday's close. If a stock's ATR is for example 40$ and the stock gapped down 20$ and dropped 10$ more after the open, the Indicator will show 0.75 (75%) (30/40). It helps to understand how much move is there still "in" the asset analyzing.
9:45 AM Vertical Lines9:45 AM vertical lines babyyy - this script just adds a line to the chart at 9:45 AM EST each day.
Enhanced Cognitive Learning Indicator 2.0 - Enhanced Market Analyzer with Advanced Features and Adaptive Cognitive Learning 2.0
improved integration and inputs
Custom RSIthis script is just better version like whenever RSI crosses above 60 RSI line will become green and below 40 will become red.
you can modify the color and setting from the setting of the indicator.
ffejokrap indicatorDip buys with adds self testing indicator, test 1
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VWAP + FVG DetectorA VWAP + FVG Detector is a tool used in trading that combines two concepts to identify potential trading opportunities. VWAP (Volume Weighted Average Price) represents the average price of a stock, adjusted for the amount of trading volume at each price level throughout the day. Traders use it to assess whether the stock is overbought or oversold. On the other hand, FVG (Fair Value Gap) refers to gaps in price where the market has not fully adjusted or filled in, suggesting areas where price might return to a "fair value." The VWAP + FVG Detector helps traders spot moments when the price moves away from the VWAP and into an FVG, signaling possible price corrections or reversals. This combination allows traders to predict potential price movements, as the market often moves back toward the VWAP or fills in the gaps where price has been imbalanced.
@Naveen-Momentum BuyThis Indicator showing Buy/Sell signals.
RSI(14)>60 BUY and
Macd and RS(55)andRS(21)>Nifty also
Ema's
Compounded Price PlotPlots a line at the value of the compounded price, calculated based on a specific date and %.
For example, if a stock's close on 01/01/2020 was 100, then its approx compounded price at 10%,after 4 years would be, 146.41 . In this case, it plots the value as of last candle date.
BTC Day Trading Strategy//@version=5
indicator("BTC Day Trading Strategy", overlay=true)
// Inputs for Indicators
emaLength1 = input.int(9, title="EMA 1 Length")
emaLength2 = input.int(21, title="EMA 2 Length")
rsiperiod = input.int(14, title="RSI Period")
macdFast = input.int(12, title="MACD Fast Length")
macdSlow = input.int(26, title="MACD Slow Length")
macdSignal = input.int(9, title="MACD Signal Length")
// EMA Calculations
ema1 = ta.ema(close, emaLength1)
ema2 = ta.ema(close, emaLength2)
// RSI Calculation
rsi = ta.rsi(close, rsiperiod)
// MACD Calculation
= ta.macd(close, macdFast, macdSlow, macdSignal)
// Assigning crossover and crossunder to variables for consistency
longCrossover = ta.crossover(ema1, ema2)
shortCrossunder = ta.crossunder(ema1, ema2)
macdCrossover = ta.crossover(macdLine, signalLine)
macdCrossunder = ta.crossunder(macdLine, signalLine)
// Conditions for Long Entry
longCondition = longCrossover and rsi > 40 and macdCrossover
if (longCondition)
label.new(bar_index, high, "BUY", style=label.style_label_up, color=color.green, textcolor=color.white)
// Conditions for Short Entry
shortCondition = shortCrossunder and rsi < 35 and macdCrossunder
if (shortCondition)
label.new(bar_index, low, "SELL", style=label.style_label_down, color=color.red, textcolor=color.white)
// Plot EMAs
plot(ema1, color=color.blue, title="EMA 9")
plot(ema2, color=color.orange, title="EMA 21")
// Alerts
alertcondition(longCondition, title="Long Entry Alert", message="BTCUSD: Señal de compra confirmada.")
alertcondition(shortCondition, title="Short Entry Alert", message="BTCUSD: Señal de venta confirmada.")
Moving Average with Std DeviationsA simple indicator to show a Moving Average with the option to show Standard Deviations of that Moving Average.
When price moves to the outer bands, this can indicate that it is becoming over extended, and may revert back to the mean, have a pull back in a trend, amongst other things.
Created for my own use, but you are welcome to use it if you find it useful.
Thanks!
