BTC Scalp 003echnical Indicators:
EMAs: 50-period and 200-period Exponential Moving Averages to identify trend direction.
Bollinger Bands: 20-period SMA with standard deviation to gauge volatility.
RSI: 14-period Relative Strength Index to detect overbought or oversold conditions.
MACD: Moving Average Convergence Divergence for momentum assessment.
Volume: Current volume and its 20-period moving average to confirm trade signals.
Penunjuk dan strategi
BTC Scalp 003echnical Indicators:
EMAs: 50-period and 200-period Exponential Moving Averages to identify trend direction.
Bollinger Bands: 20-period SMA with standard deviation to gauge volatility.
RSI: 14-period Relative Strength Index to detect overbought or oversold conditions.
MACD: Moving Average Convergence Divergence for momentum assessment.
Volume: Current volume and its 20-period moving average to confirm trade signals.
Configurable EMAPlots four configurable exponential moving averages to get a better understanding of stock momentum shift.
Price Averages Indicatoraveraging price of previoud day close and current day open, with averging of day's high and low price
[ADDYad] Google Search Trends - Bitcoin (2012-2024)Bitcoin Google search trend data from 2012 to 2024 as an indicator.
The data was retrieved from Google trends. (Cited in code as I can't add links here)
Meant to be plotted in monthly chart as the data downloaded had only monthly values.
Other time frames are just linear interpolation from monthly.
itsmrk_Breakout Strategy_Testtest educational purpose test educational purpose test educational purpose test educational purpose test educational purpose
Multi GAP DetectorThe Gap Detector Indicator is a custom trading tool that identifies and illustrates four distinct types of price gaps on a chart. Each gap type has unique characteristics and implications for market behavior. Here’s a breakdown of the indicator’s features:
Gap Types
Common Gap:
Description: This gap occurs between two price quotes without significant market news or events.
Visual Representation: Shown as a blue line on the chart, indicating the area of the gap.
Breakout Gap:
Description: This gap typically follows a period of consolidation and is often triggered by economic events. It signifies the start of a new trend.
Visual Representation: Marked with a green line on the chart.
Continuation Gap:
Description: This gap appears during an existing trend, usually located mid-trend. It can signal the continuation of the current trend.
Visual Representation: Indicated by an orange line on the chart.
Terminal Gap:
Description: This gap occurs at the end of a trend, suggesting a potential reversal and the beginning of a new trend.
Visual Representation: Shown with a red line on the chart.
Additional Features
Fibonacci Retracement Levels: The indicator calculates and displays Fibonacci levels (38.2% and 61.8%) based on the identified continuation gaps, helping traders to identify potential support and resistance zones for price retracement.
Alerts: The indicator can generate alerts when a terminal gap is detected, allowing traders to react quickly to potential trend reversals.
Usage
Traders can use this indicator to:
Identify and visualize significant gaps in price which may indicate trading opportunities.
Analyze market trends and make informed decisions based on gap types.
Incorporate Fibonacci retracement levels for further technical analysis and risk management.
Overall, the Gap Detector Indicator is a valuable tool for traders looking to enhance their market analysis and improve their trading strategies by focusing on price gaps and their implications.
Multi-Signal + ICT Concepts (HTF/FVG/Killzone/BOS)-CONSERVATIVEThis was made my chatgpt and my knowledgeable prompts
EMA CrossoverThis script plots the 5 EMA (green), 13 EMA (yellow), and 26 EMA (red) on the chart. It also highlights bullish and bearish crossovers with labels for easier identification. Let me know if you need further customizations!
3 EMAs with Custom LengthsThis code plots three Exponential Moving Averages (EMAs) on a price chart. EMAs are used to smooth price data and highlight trends.
Inputs for EMA lengths: The user can specify the lengths (e.g., 10, 20, 50 periods) of the three EMAs through input fields. By default, the lengths are set to 10, 20, and 50.
EMA Calculation: For each of the specified lengths, the script calculates the EMA based on the closing prices of the asset.
Plotting the EMAs: The three EMAs are drawn on the price chart in different colors, so users can easily compare them. These moving averages help in spotting trend direction, crossovers, and potential trading signals.
The overall purpose of the code is to give the user a visual representation of three EMAs on their price chart, which can be customized based on their trading strategy.
Nadaraya-Watson Price High Cross AlertNadaraya-Watson Price High Cross Alert Nadaraya-Watson Price High Cross Alert Nadaraya-Watson Price High Cross Alert
zigzag11Library "zigzag11"
zigzag(_low, _high, depth, deviation, backstep)
Parameters:
_low (float)
_high (float)
depth (int)
deviation (int)
backstep (int)
Monthly Short Entry LevelsBest used on AUDUSD.
This indicator is a very powerful tool. Enjoy this free tool that can help profit.
EUR/USD Morning Strategy with Trade History//@version=5
indicator("EUR/USD Morning Strategy with Trade History", overlay=true)
// Inputs for customization
ema_fast = input.int(8, title="Fast EMA")
ema_slow = input.int(21, title="Slow EMA")
rsi_period = input.int(14, title="RSI Period")
rsi_overbought = input.int(70, title="RSI Overbought Level")
rsi_oversold = input.int(30, title="RSI Oversold Level")
atr_period = input.int(14, title="ATR Period")
take_profit_multiplier = input.float(1.5, title="Take Profit Multiplier (ATR)")
stop_loss_multiplier = input.float(1.0, title="Stop Loss Multiplier (ATR)")
time_filter_start = input.time(timestamp("0000-01-01 08:00 +0000"), title="Trading Start Time")
time_filter_end = input.time(timestamp("0000-01-01 16:00 +0000"), title="Trading End Time")
// Calculate EMAs
fastEMA = ta.ema(close, ema_fast)
slowEMA = ta.ema(close, ema_slow)
// Calculate RSI
rsi = ta.rsi(close, rsi_period)
// Calculate ATR
atr = ta.atr(atr_period)
// Time filter
in_session = (time >= time_filter_start) and (time <= time_filter_end)
// Entry Conditions
buy_signal = ta.crossover(fastEMA, slowEMA) and rsi > 50 and in_session
sell_signal = ta.crossunder(fastEMA, slowEMA) and rsi < 50 and in_session
// Exit conditions (calculated but not triggered in this script)
long_take_profit = close + (atr * take_profit_multiplier)
long_stop_loss = close - (atr * stop_loss_multiplier)
short_take_profit = close - (atr * take_profit_multiplier)
short_stop_loss = close + (atr * stop_loss_multiplier)
// Arrays to track historical trades
var float long_trade_entries = array.new_float(0)
var float short_trade_entries = array.new_float(0)
if (buy_signal)
array.push(long_trade_entries, close)
if (sell_signal)
array.push(short_trade_entries, close)
// Plot EMAs
plot(fastEMA, color=color.green, title="Fast EMA (8)")
plot(slowEMA, color=color.red, title="Slow EMA (21)")
// Plot Buy and Sell Markers
plotshape(series=buy_signal, location=location.belowbar, color=color.new(color.green, 0), style=shape.labelup, title="Buy Signal")
plotshape(series=sell_signal, location=location.abovebar, color=color.new(color.red, 0), style=shape.labeldown, title="Sell Signal")
// Plot Take Profit and Stop Loss Levels for Visuals
plotshape(series=buy_signal, location=location.abovebar, offset=-1, color=color.new(color.blue, 0), style=shape.triangleup, title="Take Profit (Buy)")
plotshape(series=buy_signal, location=location.belowbar, offset=-1, color=color.new(color.orange, 0), style=shape.triangledown, title="Stop Loss (Buy)")
plotshape(series=sell_signal, location=location.belowbar, offset=-1, color=color.new(color.blue, 0), style=shape.triangledown, title="Take Profit (Sell)")
plotshape(series=sell_signal, location=location.abovebar, offset=-1, color=color.new(color.orange, 0), style=shape.triangleup, title="Stop Loss (Sell)")
// Highlight Session for Better Visualization
bgcolor(in_session ? color.new(color.green, 90) : na, title="Session Background")
Previous 1 Day LevelsGreen Line: Represents the previous day's high price.
Blue Line: Represents the previous day's close price.
Red Line: Represents the previous day's low price.
teststesetsetsetstestasdfasdfasidjfiasdjfklasdjfklasjdfklasjdfasdfasdfasidjfiasdjfklasdjfklasjdfklasjdfasdfasdfasidjfiasdjfklasdjfklasjdfklasjdfasdfasdfasidjfiasdjfklasdjfklasjdfklasjdfasdfasdfasidjfiasdjfklasdjfklasjdfklasjdfasdfasdfasidjfiasdjfklasdjfklasjdfklasjdfasdfasdfasidjfiasdjfklasdjfklasjdfklasjdf
21/55 MA with RSI Crossover21 and 55 ma with rsi crossover. Buy when there is moving average cross over and sell when price moves down from last 55 day moving average or RSI crosses under its moving average.
Price Cross SMA-EMA-WMA By Emanuele Sabatino v6.0Price Cross SMA-EMA-WMA By Emanuele Sabatino v6.0
Mostra il cross tra il prezzo e due medie mobili a scelta. E' possibile confermare il segnale con un filtro aggiuntivo di ATR per evitare il rumore
US and Asia Trading Hoursadds vertical lines to your chart that show US trading hours 9-4 and NY trading hours based off of EST