روند چند تایمفریمی [کمتر از ۱ ساعت] حمید عمرانی فردروند حرکتی در تایم فریم های مختلف رو بر اساس مووینگ اوریج شناسایی میکنه، رنگ سبز به معنی صعود، قرمز نزول و خاکستری روندی خنثی را نمایش می دهد.
Göstergeler ve stratejiler
Parabolic Detector (10min, 75°)Объяснение :
Таймфрейм 10 минут:
Используется функция request.security для получения цены закрытия за последние 10 минут.
Таймфрейм задается через input.timeframe("10", ...).
Расчет угла наклона:
Изменение цены (price_change) рассчитывается как разница между текущей ценой закрытия и ценой закрытия 10 минут назад.
Угол наклона (angle) рассчитывается с использованием функции math.atan (арктангенс). Учитывается, что 10 минут = 600 секунд.
Пороговое значение 75 градусов:
Если абсолютное значение угла (math.abs(angle)) больше или равно 75 градусам, то движение считается параболическим.
Визуализация:
На графике отображается метка "PARABOLIC", если движение параболическое.
Monthly Options Expiration 2025Monthly Options Expiration 2025
Plots the monthly options expiration dates in advance for the year 2025.
Happy trading and all the best.
Basic Candlestick ColoringThe chart candles will now color themselves green or red depending on price movement.
MultiEMA FusionThe MultiEMA Fusion indicator is a versatile tool that helps traders assess market trends using a series of exponential moving averages. Its comprehensive approach, with multiple EMAs and color-coded visuals, enables traders to make informed decisions based on the prevailing market momentum. Whether you're a trend follower or looking for confirmation signals, this indicator provides essential insights into the current market structure.
Multi EMA Indicator ViscontiA single indicator including 4 EMAs developed for timeframe D
EMA 9, EMA 30, EMA 130, EMA 365
Bollinger Bands with SMAs, MFI, and Volumemanaging long positions based on the 9, 21, and 50 simple moving averages (SMAs) into the Pine Script that already includes Bollinger Bands, we need to define the following conditions:
Long Position Conditions:
Enter a long position when the 9-period SMA crosses above the 21-period SMA.
Confirm the long position when the 9-period SMA bounces off the 21-period SMA.
Maintain the long position if the 9-period SMA crosses above the 50-period SMA.
The position remains long if the price retraces and then bounces off the 50-period SMA.
Khubaib janThis is a custom indicator to check RSI. It help to check the RSI. It help to check the RSI. It help to check the RSI. It help to check the RSI. It help to check the RSI. It help to check the RSI. It help to check the RSI. It help to check the RSI. It help to check the RSI. It help to check the RSI. It help to check the RSI. It help to check the RSI. It help to check the RSI. It help to check the RSI. It help to check the RSI. It help to check the RSI. It help to check the RSI. It help to check the RSI. It help to check the RSI. It help to check the RSI. It help to check the RSI. It help to check the RSI. It help to check the RSI. It help to check the RSI. It help to check the RSI. It help to check the RSI. It help to check the RSI. It help to check the RSI. It help to check the RSI. It help to check the RSI. It help to check the RSI. It help to check the RSI. It help to check the RSI. It help to check the RSI. It help to check the RSI. It help to check the RSI. It help to check the RSI.
FOMC Volatility & FVG TrackerThis is a brand new Indicator, not yet tested!, as of 1/29/2025, 1:55 PM EST.
How It Works (hopefully):
🔹 Orange background → High volatility FOMC release window
🔹 Green FVG zones → Bullish FVGs (potential support)
🔹 Red FVG zones → Bearish FVGs (potential resistance)
🔹 Blue VWAP line → Trend confirmation
Elisathe indicator uses Bollinger Bands with various moving average types. The strategy rules are to go long when the price closes above the upper band and close the long when it closes below the lower band. So, the entry and exit conditions are based on the close relative to the bands.
EMA Cross with Bollinger Bands & SMIIOThis intergrates the 3 indicators to provide a more accurate display of what happening to the market.
Crypto Pro Indicator"Crypto Pro Indicator" – Your All-in-One Trading Edge
Elevate your cryptocurrency trading with the Crypto Pro Indicator, a sophisticated toolkit designed for modern traders who demand precision, speed, and professional-grade analytics.
Key Features
🔹 Smart Trend Detection:
Dynamic EMA layers (20, 50, 70, 100, 200) reveal hidden market structure.
Real-time bullish/bearish confirmation via multi-EMA alignment.
🔹 Auto-Adaptive Fibonacci Grid:
Self-updating Fibonacci retracement levels (23.6%–78.6%) pinpoint reversals and entries.
Built for crypto’s volatility, recalculating with every candle.
🔹 Laser-Focused Signals:
AI-inspired buy/sell alerts combining EMA crossovers + Fibonacci + trend strength.
Clean visual markers (▲/▼) eliminate chart clutter.
🔹 Risk Management Built-In:
Auto-stop loss & take profit zones based on live volatility (ATR-adjusted).
Professional price table for rapid decision-making.
🔹 Crypto-Optimized Design:
Flawless performance across all timeframes (minutes to weekly).
Sleek, institutional-grade visuals with trend-highlighted backgrounds.
Stop losses and Liquidity ZoneThis strategy works best with hiken aishi candles. This strategy is used as a confluence to predict where stop losses are in the market. Pair this with candle range theory to get profitable trades. Blue zones on the map are where retail traders lie and red zones are where market makers are. light red zones are less likely to be attacked but darker red zones are more likely to be attacked in the future. The blue box shows the previous day open and close, Once price hit the last day price, price reversed and went upwards. (candle range theory)
Cyber.Globex BreakGlobex session break.
UTC -5 18:00 to 9:00
Xác nhận thời gian Globex theo giờ chuẩn miền Đông
Trading Sessions IndicatorTrading Sessions Indicator simple way
show ny london asia session
also nyse open
EMA 5 and SMA 10 Crossover with RSI by santosh kadamExplanation of the Script:
Indicators:
EMA 5 and SMA 10: These are the two moving averages used to determine the trend direction.
Buy signal is triggered when EMA 5 crosses above SMA 10.
Sell signal is triggered when EMA 5 crosses below SMA 10.
RSI 14: This is used to filter buy and sell signals.
Buy trades are allowed only if RSI 14 is above 60.
Sell trades are allowed only if RSI 14 is below 50.
Buy Conditions:
The strategy waits for the EMA crossover (EMA 5 crosses above SMA 10).
The strategy checks if RSI 14 is above 60 for confirmation.
If the price is below 60 on RSI 14 at the time of crossover, the strategy will wait until the price crosses above 60 on RSI 14 to initiate the buy.
Sell Conditions:
The strategy waits for the EMA crossover (EMA 5 crosses below SMA 10).
The strategy checks if RSI 14 is below 50 for confirmation.
If the price is above 50 on RSI 14 at the time of crossover, the strategy will wait until the price crosses below 50 on RSI 14 to initiate the sell.
Exit Conditions:
The Buy position is closed if the EMA crossover reverses (EMA 5 crosses below SMA 10) or RSI 14 drops below 50.
The Sell position is closed if the EMA crossover reverses (EMA 5 crosses above SMA 10) or RSI 14 rises above 60.
Plotting:
The script plots the EMA 5, SMA 10, and RSI 14 on the chart for easy visualization.
Horizontal lines are drawn at RSI 60 and RSI 50 levels for reference.
Key Features:
Price Confirmation: The strategy ensures that buy trades are only initiated if RSI 14 crosses above 60, and sell trades are only initiated if RSI 14 crosses below 50. Additionally, price action must cross these RSI levels to confirm the trade.
Reversal Exits: Positions are closed when the EMA crossover or RSI condition reverses.
Backtesting:
Paste this script into the Pine Editor on TradingView to test it with historical data.
You can adjust the EMA, SMA, and RSI lengths based on your preferences.
Let me know if you need further adjustments or clarification!
Entradas Scalping IEGCalcula las entradas y coloca las linea de entrada, profit y stop, calculando tambien las monedas a comprar configurando los parametros requeridos
Demo GPT - Bollinger Bands StrategyDemo GPT - Bollinger Bands Strategy, this strategy is going to help the people in identifying buy and sell signals
YAMIL//@version=6
indicator(title = 'MACD+RSI+KONCORDE YAMIL', shorttitle = 'MAC+RSI+KON YAMIL')
//KONCORDE
showkoncorde = input(true, title = 'Koncorde')
deltaKon = input(-700, title = 'KONCORDE - Desfase')
escalaKoncorde = input(2, 'Koncorde - Escala')
calc_mfi(length) =>
100.0 - 100.0 / (1.0 + math.sum(volume * (ta.change(hlc3) <= 0 ? 0 : hlc3), length) / math.sum(volume * (ta.change(hlc3) >= 0 ? 0 : hlc3), length))
tprice = ohlc4
lengthEMA = 255
m = 15
pvim = ta.ema(ta.pvi, m)
pvimax = ta.highest(pvim, 90)
pvimin = ta.lowest(pvim, 90)
oscp = (ta.pvi - pvim) * 100 / (pvimax - pvimin)
nvim = ta.ema(ta.nvi, m)
nvimax = ta.highest(nvim, 90)
nvimin = ta.lowest(nvim, 90)
azul = (ta.nvi - nvim) * 100 / (nvimax - nvimin)
xmf = calc_mfi(14)
mult = 2.0
basis = ta.sma(tprice, 25)
dev = mult * ta.stdev(tprice, 25)
upper = basis + dev
lower = basis - dev
OB1 = (upper + lower) / 2.0
OB2 = upper - lower
BollOsc = (tprice - OB1) / OB2 * 100
xrsi = ta.rsi(tprice, 14)
calc_stoch(src, length, smoothFastD) =>
ta.sma(100 * (src - ta.lowest(low, length)) / (ta.highest(high, length) - ta.lowest(low, length)), smoothFastD)
stoc = calc_stoch(tprice, 21, 3)
marron = (xrsi + xmf + BollOsc + stoc / 3) / 2
verde = marron + oscp
media = ta.ema(marron, 21) //
vl = plot(showkoncorde ? verde * escalaKoncorde + deltaKon : na, color = color.new(#25BC00, 0), style = plot.style_columns, histbase = deltaKon, linewidth = 4, title = 'Manos Chicas')
ml = plot(showkoncorde ? marron * escalaKoncorde + deltaKon : na, color = color.new(#FFC34C, 0), style = plot.style_columns, histbase = deltaKon, linewidth = 4, title = 'Koncorde - marron')
al = plot(showkoncorde ? azul * escalaKoncorde + deltaKon : na, color = color.new(#6C3AFF, 0), style = plot.style_columns, histbase = deltaKon, linewidth = 4, title = 'Manos Grandes')
plot(showkoncorde ? marron * escalaKoncorde + deltaKon : na, color = color.new(#000000, 0), linewidth = 1, title = 'Koncorde - lmarron')
plot(showkoncorde ? media * escalaKoncorde + deltaKon : na, color = color.new(#FF0000, 0), linewidth = 1, title = 'Koncorde - media')
hline(-700, color = color.black, linestyle = hline.style_solid)
// MACD
// Getting inputs
showmacd = input(true, title = 'MADC')
deltaMacd = input(700, title = 'MACD - Desfase')
multMacd = input(5, title = 'MACD - Escala')
fast_length = input(title = 'MACD - Fast Length', defval = 12)
slow_length = input(title = 'MACD - Slow Length', defval = 26)
src = input(title = 'MACD - Source', defval = close)
signal_length = input.int(title = 'MACD - Signal Smoothing', minval = 1, maxval = 50, defval = 9)
sma_source = input(title = 'MACD - Simple MA(Oscillator)', defval = false)
sma_signal = input(title = 'MACD - Simple MA(Signal Line)', defval = false)
// Plot colors
col_grow_above = #2AFF00
col_grow_below = #FF0000
col_fall_above = #168500
col_fall_below = #980000
col_macd = #0042FF
col_signal = #FFA200
// Calculating
// = macd(close, fastLength, slowLength, signalLength)
fast_ma = sma_source ? ta.sma(src, fast_length) : ta.ema(src, fast_length)
slow_ma = sma_source ? ta.sma(src, slow_length) : ta.ema(src, slow_length)
macd = (fast_ma - slow_ma) / slow_ma * 1000 * multMacd
signal = sma_signal ? ta.sma(macd, signal_length) : ta.ema(macd, signal_length)
hist = macd - signal
plot(showmacd ? bool(hist) ? hist + deltaMacd : na : na, title = 'MACD - Histogram', style = plot.style_columns, color = hist >= 0 ? hist < hist ? col_grow_above : col_fall_above : hist < hist ? col_grow_below : col_fall_below, histbase = deltaMacd)
plot(showmacd ? bool(macd) ? macd + deltaMacd : na : na, title = 'MACD', color = color.new(col_macd, 0), linewidth = 1)
plot(showmacd ? bool(signal) ? signal + deltaMacd : na : na, title = 'MACD - Signal', color = color.new(col_signal, 0), linewidth = 1)
hline(700, color = color.black, linestyle = hline.style_solid, linewidth = 1)
// STOCH (14,3,1)
showrsi = input(true, title = 'RSI - STOCH')
deltaRSI = input(0, title = 'RSI/STOCH - Desfase')
multip = input(5, title = 'RSI/STOCH - Escala')
deltaSTOCH = deltaRSI - 50 * multip / 2
length = input.int(14, minval = 1, title = 'STOCH - Periodo')
smoothK = input.int(1, minval = 1, title = 'STOCH - Smooth K')
smoothD = input.int(3, minval = 1, title = 'STOCH - Smooth D')
k = ta.sma(ta.stoch(close, high, low, length), smoothK)
d = ta.sma(k, smoothD)
// RSI
bandm = hline(showrsi ? 0 + deltaRSI : na, color = color.black, linewidth = 1, linestyle = hline.style_solid)
band0 = hline(showrsi ? -20 * multip + deltaRSI : na, color = color.new(#59FF00, 0), linewidth = 1, linestyle = hline.style_dotted)
band1 = hline(showrsi ? 20 * multip + deltaRSI : na, color = color.new(#FF0000, 0), linewidth = 1, linestyle = hline.style_dotted)
fill(band1, band0, color = color.new(#FFFF00, 75), title = 'Background')
lengthRSI = input.int(14, minval = 1, title = 'RSI - Periodo')
RSIMain = ta.rsi(close, lengthRSI) - 50
rsiPlot = plot(showrsi ? RSIMain * multip + deltaRSI : na, color = color.new(#000000, 0), linewidth = 1)
// Media móvil en RSI
lengthMA = input.int(21, minval = 1, title = 'RSI - Media Móvil Ponderada Periodo')
RSIMA = ta.wma(RSIMain * multip + deltaRSI, lengthMA)
plot(showrsi ? RSIMA : na, color = color.new(#78FF00, 0), linewidth = 1, title = 'RSI - Media Móvil')
// STOCH (14,3,1) en RSI
showstoch = input(true, title = 'STOCH - RSI')
deltaSTOCH_RSI = input(100, title = 'STOCH - RSI Desfase')
kRSI = ta.sma(ta.stoch(RSIMain, RSIMain, RSIMain, length), smoothK)
dRSI = ta.sma(kRSI, smoothD)
plot(false ? bool(kRSI) ? kRSI + deltaSTOCH_RSI : na : na, title = 'STOCH - RSI K', color = color.new(#0000FF, 0), linewidth = 1)
plot(false ? bool(dRSI) ? dRSI + deltaSTOCH_RSI : na : na, title = 'STOCH - RSI D', color = color.new(#FFA500, 0), linewidth = 1)
Advanced Bitcoin Trading Strategy//@version=6
indicator("Advanced Bitcoin Trading Strategy", overlay=true)
// Define Short-term and Long-term MAs
shortTermMA = ta.sma(close, 9)
longTermMA = ta.sma(close, 21)
// Define RSI
rsi = ta.rsi(close, 14)
// Define Volume
volumeMA = ta.sma(volume, 20)
// Define Buy and Sell Conditions based on MA Crossovers, RSI, and Volume
buyCondition = ta.crossover(shortTermMA, longTermMA) and rsi < 30 and volume > volumeMA
sellCondition = ta.crossunder(shortTermMA, longTermMA) and rsi > 70 and volume > volumeMA
// Detect Bullish Engulfing Pattern
bullishEngulfing = (open > close ) and (close > open) and (close > high ) and (open < low )
// Detect Bearish Engulfing Pattern
bearishEngulfing = (open < close ) and (close < open) and (close < low ) and (open > high )
// Combine all Buy and Sell Conditions
finalBuyCondition = buyCondition or bullishEngulfing
finalSellCondition = sellCondition or bearishEngulfing
// Plot Short-term and Long-term MA
plot(shortTermMA, "Short Term MA", color=color.blue, linewidth=2)
plot(longTermMA, "Long Term MA", color=color.red, linewidth=2)
// Plot RSI
hline(70, "Overbought Level", color=color.red, linestyle=hline.style_dotted)
hline(30, "Oversold Level", color=color.green, linestyle=hline.style_dotted)
plot(rsi, "RSI", color=color.purple, linewidth=2)
// Plot Volume MA
plot(volumeMA, "Volume MA", color=color.orange, linewidth=1)
// Plot Buy and Sell Arrows
plotshape(series=finalBuyCondition, location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
plotshape(series=finalSellCondition, location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
plotarrow(series=finalBuyCondition ? 1 : na, title="Buy Arrow", colorup=color.green, offset=-1)
plotarrow(series=finalSellCondition ? -1 : na, title="Sell Arrow", colordown=color.red, offset=-1)
// Alert Conditions
alertcondition(finalBuyCondition, title="Buy Alert", message="Time to Buy Bitcoin!")
alertcondition(finalSellCondition, title="Sell Alert", message="Time to Sell Bitcoin!")
YO//@version=5
indicator("Custom MA Crossover", overlay=true, shorttitle="CMA Cross")
// Inputs
fast_length = input.int(9, title="Fast MA Length", minval=1)
slow_length = input.int(21, title="Slow MA Length", minval=1)
ma_type = input.string(title="MA Type", options= , defval="EMA")
// Calculations
fast_ma = ma_type == "SMA" ? ta.sma(close, fast_length) : ta.ema(close, fast_length)
slow_ma = ma_type == "SMA" ? ta.sma(close, slow_length) : ta.ema(close, slow_length)
// Crossover signals
bullish = ta.crossover(fast_ma, slow_ma)
bearish = ta.crossunder(fast_ma, slow_ma)
// Plotting
plot(fast_ma, color=color.new(color.blue, 0), title="Fast MA")
plot(slow_ma, color=color.new(color.red, 0), title="Slow MA")
// Plot signals
plotshape(bullish, style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small)
plotshape(bearish, style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small)
// Alerts
alertcondition(bullish, title="Bullish Crossover", message="Fast MA crossed above Slow MA")
alertcondition(bearish, title="Bearish Crossover", message="Fast MA crossed below Slow MA")