BTC VIP EMA CROSS Buy/Sell (GC & DC)EMA cross 5&10 standard-setting with add on of BUY/SELL signal ( GC & DC) which will make the traders have an indication of buy and sell easily and clearly.
An exponential moving average strategy, or EMA strategy, is used to identify the predominant trend in the market. It can also provide the support and resistance level to execute your trade. Indicators: v4 (default setting), EMA 5 10 Crossover (default setting)
Preferred Time Frame(s):15-Minute, 30-Minute, 1-Hour, 4-Hour, 1-Day
Strategy
Long Entry Rules
Enter a buy in the market if the following indicator or chart pattern takes center stage:
If the blue upward pointing arrow of the EMA 5 10 Crossover custom indicator gets aligned just somewhat below the candlesticks as seen in Fig. 1.0, the market sentiment is said to be bullish, hence a trigger to go long on the pair of interest.
If the light blue line of the custom indicator gets outlined just below price bars as illustrated in Fig. 1.0, price is said to be pushed somewhat higher i.e. a trigger to buy the asset of focus.
Exit Strategy/Take Profit for Buy Entry
Exit or take profit if the following rules or conditions takes precedence:
If the red downward pointing arrow of the EMA 5 10 Crossover custom indicator forms above price bars as depicted in Fig. 1.0 while a buy signal is ongoing in the market, a possible price dip is said to be looming, as such an exit or take profit is advised.
If the red line of the custom indicator forms above the candlestick during a bullish trend, it is a pointer to a possible price dip, hence an exit or take profit is advised.
스크립트에서 "a股板块+沪深两市+股价不超过10元的股票+技术形态好"에 대해 찾기
Intrinsic value calculation Intrinsic value calculator based on Warren Buffet's and Ben Graham's work
In value investing determing the true value of a COMPANY instead of a stock price is crucial.
This little indicator shows the "Intrinsic value" of the choosen stock meaning the value of the stock in 10 years time. Calculation is based on historical book value's average annual growth rate and dividends paid.
Since this is about long therm investing, use monthly charts.
"Intrinsic value can be defined simply: It is the discounted value of the cash that can be taken out of a business during its remaining life.”
– Warren Buffett
One way to calculate that is by the growth in per share book value and dividends taken in the forseeable future (10 years) than discount it with the prevailing 10 year note's rate.
In the inputs you have to set 2 variables:
1. How many years back you have the first data for book value per share available?
2. What was the per share book value that year?
(Bookvalue is ploted in olive colour and you can get the oldest one if you move your cursor over the latest data on the left)
CAUTION! You have to reenter it for every stock you analyse as this is stock-specific data!
After setting the input data, you will see the "Intrinsic Value"'s pink curve ploted over the price chart.
If the price is well below the pink line, the company is undervalued and can be a possible applicant for long therm investment.
Margin of safety: when the current price is 50% below the intrinsic value that means a 10% yearly growth potential (100% growth in 10 years) or a 100% margin of safety.
I am a beginer in Pine so please excuse my coding...
If anybody knows hot to extract historical data from 15 years ago, please share it with me, so I can automate the whole calculation without inputs necessary.
M-OscillatorM-Oscillator developed By Mohamed Fawzy, MFTA, CFTe
as Written in IFTA Journal 2018 Edition
more info : ifta.org
Interpretation
• M-Oscillator is a bounded oscillator that moves between (-14) and (+14),
• Movement above 10 is considered overbought, and movement below -10 is oversold.
Overbought/Oversold rule:
• Buy when the M-Oscillator violates the (-10) level to the downside and crosses back to the upside.
• Sell when the M-Oscillator crosses above the (+10) level and crosses back to the downside.
Crossover on Extreme Levels
• Sell signals are triggered when the M-Oscillator crosses its signal line above (13), which indicates an extreme market condition
• Buy signals are triggered when the M-Oscillator crosses its signal line below (- 13)
2-Period RSI strategy (with filter)2-period RSI strategy backtest described in several books of the trader Larry Connors . This strategy uses a 2 periods RSI , one slow arithmetic moving average and one fast arithmetic moving average.
Entry signal:
- RSI 2 value below oversold level (Larry Connors usually sets oversold to be below 5, but other authors prefer to work below 10 due to the higher number of signals).
- Closing above the slow average (200 periods).
- Entry at closing of candle or opening of next candle.
Exit signal:
- Occurs when the candlestick closes above the fast average (the most common fast average is 5 periods, but some traders also suggest the 10 period average).
Entry Filter (modification made by me):
- Applied an RSI2 arithmetic moving average to smooth out oscillations.
- Entered only when RSI2 is below oversold level and RSI2 moving average is below 30.
* NOTE: In the stocks that I evaluate daily the averages of 4 and 6 periods work very well as a filter.
Comments:
This strategy works very well in Daily charts but can be applied in other chart times as well. As this is a strategy to catch market fluctuations, it presents different results with different stocks.
I have been applying this strategy to the stocks of the Brazilian market (BOVESPA) and have enjoyed the result. Every day I evaluate the stocks that are generating entry signals and choose which one to trade based on the stocks with the highest Profit Value.
The RSI 2 averaging filter probably will reduce profit of the backtests because reduces the number of signals, but the Profit Value will usually increase. For me this was a good thing because without the filter, this strategy usually shows more signals than I have capital to allocate.
Before entering a trade I look at which fast average the paper has the highest Profit Value and then I use this average as my output signal for that trade (this change has greatly improved the result of the outputs).
This strategy does not use Stop Loss because normally Stop Loss decreases effectiveness (profit). In any case, the option to apply a percentage Stop Loss if desired is added in the script. As the strategy does not use stop, extra caution with risk management is advisable. I advise not to allocate more than 20% of the trade capital in the same operation.
I'm still studying ways to improve this strategy, but so far this is the best setup I've found. Suggestions are always welcome and we can test to see if they improve the backtest result.
Good luck and good trades.
================================================
Backtest das estratégia do IFR de 2 períodos descrita em varios livros do trader Larry Connors . Esta estratégia usa um IFR de 2 períodos, uma média movel aritmética lenta e uma média movel aritmética rápida.
Sinal de entrada:
- Valor do IFR 2 abaixo do nível de sobrevenda (Larry Connors usualmente define sobrevenda sendo abaixo de 5, mas outros autores preferem trabalhar abaixo de 10 devido ao maior número de sinais).
- Fechamento acima da média lenta (200 períodos).
- Realizado a compra no fechamento do candle ou na abertura do candle seguinte.
Sinal de saída:
- Ocorre quando o candle fecha acima da média rápida (a média rápida mais comum é a de 5 períodos, mas alguns traders sugerem também a média de 10 períodos).
Filtro para entrada (modificação feita por mim):
- Aplicado uma média móvel aritmética do IFR2 para suavisar as oscilações.
- Realizado a entrada apenas quando o IFR2 está abaixo do nível de sobrevenda e a média móvel do IFR2 está abaixo de 30.
*OBS: nos ativos que avalio diariamente as médias de 4 e 6 períodos funcionam muito bem como filtro.
Comentários:
Esta estratégia funciona muito bem no tempo gráfico Diário mas pode ser aplicada tambem em outros tempos gráficos. Como trata-se de uma estratégia para pegar oscilações do mercado, ela apresenta diferentes resultados com diferentes ativos.
Eu venho aplicando esta estratégia nos ativos do mercado brasileiro (BOVESPA) e tenho gostado do resultado. Diariamente eu avalio os papeis que estão gerando entrada e escolho qual irei realizar o trade baseado nos papeis que apresentam maior Profit Value.
O filtro da média do IFR 2 reduz o lucro nos backtests pois reduz também a quantidade de sinais, mas em compensação o Profit Value irá normalmente aumentar. Para mim isto foi algo positivo pois, sem o filtro, normalmente esta estratégia apresenta mais sinais do que possuo capital para alocar.
Antes de entrar em um trade eu olho em qual média rápida o papel apresenta maior Profit Value e então eu utilizo está média como meu sinal de saída para aquele trade (esta mudança tem melhorado bastante o resultado das saídas).
Está estratégia não utiliza Stop Loss pois normalmente o Stop Loss diminui a eficácia (lucro). De qualquer maneira, foi acrescentado no script a opção de aplicar um Stop Loss percentual caso seja desejado. Como a estratégia não utiliza stop é aconselhável um cuidado redobrado com o gerenciamento de risco. Eu aconselho não alocar mais de 20% do capital de trade em uma mesma operação.
Ainda estou estudando formas de melhorar esta estratégia, mas até o momento está é a melhor configuração que encontrei. Sugestões são sempre bem vindas e podemos testar para verificar se melhoram o resultado do backtest.
Boa sorte e bons trades.
Pinescript v3 Compatibility Framework (v4 Migration Tool)Pinescript v3 Compatibility Framework (v4 Migration Tool)
This code makes most v3 scripts work in v4 with only a few minor changes below. Place the framework code before the first input statement.
You can totally delete all comments.
Pros:
- to port to v4 you only need to make a few simple changes, not affecting the core v3 code functionality
Cons:
- without #include - large redundant code block, but can be reduced as needed
- no proper syntax highlighting, intellisence for substitute constant names
Make the following changes in v3 script:
1. standard types can't be var names, color_transp can't be in a function, rename in v3 script:
color() => color.new()
bool => bool_
integer => integer_
float => float_
string => string_
2. init na requires explicit type declaration
float a = na
color col = na
3. persistent var init (optional):
s = na
s := nz(s , s) // or s := na(s ) ? 0 : s
// can be replaced with var s
var s = 0
s := s + 1
___________________________________________________________
Key features of Pinescript v4 (FYI):
1. optional explicit type declaration/conversion (you still can't cast series to int)
float s
2. persistent var modifier
var s
var float s
3. string series - persistent strings now can be used in cond and output to screen dynamically
4. label and line objects
- can be dynamically created, deleted, modified using get/set functions, moved before/after the current bar
- can be in if or a function unlike plot
- max limit: 50-55 label, and 50-55 line drawing objects in addition to already existing plots - both not affected by max plot outputs 64
- can only be used in the main chart
- can serve as the only output function - at least one is required: plot, barcolor, line, label etc.
- dynamic var values (including strings) can be output to screen as text using label.new and to_string
str = close >= open ? "up" : "down"
label.new(bar_index, high, text=str)
col = close >= open ? color.green : color.red
label.new(bar_index, na, "close = " + tostring(close), color=col, textcolor=color.white, style=label.style_labeldown, yloc=yloc.abovebar)
// create new objects, delete old ones
l = line.new(bar_index, high, bar_index , low , width=4)
line.delete(l )
// free object buffer by deleting old objects first, then create new ones
var l = na
line.delete(l)
l = line.new(bar_index, high, bar_index , low , width=4)
Turtle Trade Channels by KıvanÇ fr3762his trend following system was designed by Dennis Gartman and Bill Eckhart, and relies on breakouts of historical highs and lows to take and close trades: it is the complete opposite to the "buy low and sell high" approach. This trend following system was taught to a group of average and normal individuals, and almost everyone turned into a profitable trader.
The main rule is "Trade an N-day breakout and take profits when an M-day high or low is breached (N must me above M)". Examples:
Buy a 10-day breakout and close the trade when price action reaches a 5-day low.
Go short a 20-day breakout and close the trade when price action reaches a 10-day high.
In this indicator, the red line is the trading line, and the dotted blue line is the exit line. Original system is:
Go long when the trading line crosses below close price
Go short when the trading line rosses above close price
Exit long positions when the price touches the exit line
Exit short positions when the price touches the exit line
Recommended initial stop-loss is ATR * 2 from the opening price. Default system parameters were 20,10 and 55,20.
Original Turtle Rules:
To trade exactly like the turtles did, you need to set up two indicators representing the main and the failsafe system.
Set up the main indicator with TradePeriod = 20 and StopPeriod = 10 (A.k.a S1)
Set up the failsafe indicator with TradePeriod = 55 and StopPeriod = 20 using a different color. (A.k.a S2)
The entry strategy using S1 is as follows
Buy 20-day breakouts using S1 only if last signaled trade was a loss.
Sell 20-day breakouts using S1 only if last signaled trade was a loss.
If last signaled trade by S1 was a win, you shouldn't trade -Irregardless of the direction or if you traded last signal it or not-
The entry strategy using S2 is as follows:
Buy 55-day breakouts only if you ignored last S1 signal and the market is rallying without you
Sell 55-day breakouts only if you ignored last S1 signal and the market is pluging without you
The turtles had a progressive position sizing approach that boosted their winnings. Once a trading decision has been made you should...
Developers: Dennis Gartman and Bill Eckhart
İndikatörü geliştiren: Dennis Gartman and Bill Eckhart
Amazing Crossover System - 100+ pips per day!I got the main concept for this system on another site. While I have made one important change, I must stress that the heart of this system was created by someone else! We must give credit where credit is due!
Y'all know baby pips. @ForexPhantom published about this system and did both back and forward test around 10 years ago.
I found it on the sit and now I put it to code to see how it performs. I assume 10 points spread for every trade. I use Renesource or AxiTrader to get the low spreads.
There are 2 mods, the single trades and constant trading on the direction.
Main concept
Indicators
5 EMA -- YELLOW
10 EMA -- RED
RSI (10 - Apply to Median Price: HL/2) -- One level at 50.
TIME FRAME
1 Hour Only (very important!)
PAIRS
Virtually any pair seems to work as this is strictly technical analysis.
I recommend sticking to the main currencies and avoiding cross currencies (just his preference).
WHEN TO ENTER A TRADE
Enter LONG when the Yellow EMA crosses the Red EMA from underneath.
RSI must be approaching 50 from the BOTTOM and cross 50 to warrant entry.
Enter SHORT when the Yellow EMA crosses the Red EMA from the top.
RSI must be approaching 50 from the TOP and cross 50 to warrant entry.
I've attached a picture which demonstrates all these conditions.
That's it!
f.bpcdn.co
Trend Score by KIVANÇ fr3762Trend Score compares close prices between last close with previous closes by a certain period of time.
It's like momentum but gives a score +1 when close price is equal to or above (defaultly) 10 bars ago and gives a score of -1 when below.
calculation continues from default length to the 2 times of length.
Defaultly (for 10 bars length)
If Trend Score converges to 10; that means there's a strong uptrend
conversely if Trend Score converges to -10; that means a strong downtrend market is on.
JSE Wyckoff Wave Volume Code// The Stock Market Institute (SMI) describes an propriety indicator the "SMI Wyckoff Wave" for US Stocks. This code is an attempt to make a Wyckoff Wave for the Johannesburg Stock Exchange (JSE).
// The JSE Wyckoff Wave is in a separate code. This is the code for the volume of the wave. Please see code for the JSE Wyckoff Wave which goes with this indicator.
//
// The Wave presents a normalized price for the 10 selected stocks (An Index for the 10 stocks).
// The theory is to select stocks that are widely held, market leaders, actively traded and participate in important market moves.
// This is only my attempt to select 10 stocks and a different selection can be made.
// I am not certain how SMI determine their weightings but what I have done it to equalize the Rand value of the stock volumne so that moves are of equal magnitude.
// The then provides a view of the overall condition of the market and volume flow in the market.
//
// I have used the September 2018 price to normalize the stock price for the 10 selected stocks based. The stocks and weightings can be changed periodically depending on the performance and leadership.
//
// Please, let me know if there is a better work around this.
The stocks and their weightings are:
"JSE:BTI"/0.79
"JSE:SHP"/2.87
"JSE:NPN"/0.18
"JSE:AGL"/1.96
"JSE:SOL"/1.0
"JSE:CFR"/4.42
"JSE:MND"/1.40
"JSE:MTN"/7.63
"JSE:SLM"/7.29
"JSE:FSR"/8.25
JSE Wyckoff WaveThe Stock Market Institute (SMI) describes an propriety indicator the "SMI Wyckoff Wave" for US Stocks. This code is an attempt to make a Wyckoff Wave for the Johannesburg Stock Exchange (JSE). Once the wave has been established the volume can also be calculated. Please see code for the JSE Wyckoff Wave Volume which goes with this indicator.
The Wave presents a normalized price for the 10 selected stocks (An Index for the 10 stocks). The theory is to select stocks that are widely held, market leaders, actively traded and participate in important market moves. This is only my attempt to select 10 stocks and a different selection can be made. I am not certain how SMI determine their weightings but what I have done it to equalize the Rand value of the stock so that moves are of equal magnitude. The then provides a view of the overall condition of the market and volume flow in the market.
I have used the September 2018 price to normalize the stock price for the 10 selected stocks based. The stocks and weightings can be changed periodically depending on the performance and leadership.
Most Indecies when constructed assume that all high prices and all low prices happen at the same time and therefor inflate the wicks of the bars. To make the wave more representatives for the SMI Wyckoff Wave the price is determined on the 5 minute timeframe which removes this bias. However, TradingView does not calculate properly when selecting a lower timeframe than in current period. A work around is to call the sma of the highs and add these which provides more realistic tails. Please, let me know if there is a better work around this.
The stocks and their weightings are:
"JSE:BTI"*0.79
"JSE:SHP"*2.87
"JSE:NPN"*0.18
"JSE:AGL"*1.96
"JSE:SOL"*1.0
"JSE:CFR"*4.42
"JSE:MND"*1.40
"JSE:MTN"*7.63
"JSE:SLM"*7.29
"JSE:FSR"*8.25
OHLC Daily Resolution BandsShout out to nPE- for the idea.
Bands made with stdev from 10 day OHLC.
Keeps resolution to daily, so you can use bands as daily pivots for day trading.
Upper band 1=yesterday close + 0.5 std(ohlc,10)
Upper band 1=yesterday close + 1 std(ohlc,10)
Mid=yesterday close
Lower band 1=yesterday close - 0.5 std(ohlc,10)
Lower band 2=yesterday close - 1 std(ohlc,1
XPloRR MA-Buy ATR-Trailing-Stop Long Term Strategy Beating B&HXPloRR MA-Buy ATR-MA-Trailing-Stop Strategy
Long term MA Trailing Stop strategy to beat Buy&Hold strategy
None of the strategies that I tested can beat the long term Buy&Hold strategy. That's the reason why I wrote this strategy.
Purpose: beat Buy&Hold strategy with around 10 trades. 100% capitalize sold trade into new trade.
My buy strategy is triggered by the EMA(blue) crossing over the SMA curve(orange).
My sell strategy is triggered by another EMA(lime) of the close value crossing the trailing stop(green) value.
The trailing stop value(green) is set to a multiple of the ATR(15) value.
ATR(15) is the SMA(15) value of the difference between high and low values.
Every stock has it's own "DNA", so first thing to do is find the right parameters to get the best strategy values voor EMA, SMA and Trailing Stop.
Then keep using these parameter for future buy/sell signals only for that particular stock.
Do the same for other stocks.
Here are the parameters:
Exponential MA: buy trigger when crossing over the SMA value (use values between 11-50)
Simple MA: buy trigger when EMA crosses over the SMA value (use values between 20 and 200)
Stop EMA: sell trigger when Stop EMA of close value crosses under the trailing stop value (use values between 8 and 16)
Trailing Stop #ATR: defines the trailing stop value as a multiple of the ATR(15) value
Example parameters for different stocks (Start capital: 1000, Order=100% of equity, Period 1/1/2005 to now):
BAR(Barco): EMA=11, SMA=82, StopEMA=12, Stop#ATR=9
Buy&HoldProfit: 45.82%, NetProfit: 294.7%, #Trades:8, %Profit:62.5%, ProfitFactor: 12.539
AAPL(Apple): EMA=12, SMA=45, StopEMA=12, Stop#ATR=6
Buy&HoldProfit: 2925.86%, NetProfit: 4035.92%, #Trades:10, %Profit:60%, ProfitFactor: 6.36
BEKB(Bekaert): EMA=12, SMA=42, StopEMA=12, Stop#ATR=7
Buy&HoldProfit: 81.11%, NetProfit: 521.37%, #Trades:10, %Profit:60%, ProfitFactor: 2.617
SOLB(Solvay): EMA=12, SMA=63, StopEMA=11, Stop#ATR=8
Buy&HoldProfit: 43.61%, NetProfit: 151.4%, #Trades:8, %Profit:75%, ProfitFactor: 3.794
PHIA(Philips): EMA=11, SMA=80, StopEMA=8, Stop#ATR=10
Buy&HoldProfit: 56.79%, NetProfit: 198.46%, #Trades:6, %Profit:83.33%, ProfitFactor: 23.07
I am very curious to see the parameters for your stocks and please make suggestions to improve this strategy.
Mattzab ArrowsMattzab Arrows
THE BASICS
Buy and Sell Signal Arrows
Tack Marks to show how close the next opposite arrow might be- showing possible trend reversals
Standard Bollinger Bands
10-Day SMA Line
Configurable
Open Source
THE NITTY GRITTY
For starters, all values listed below can be changed in the settings. Length of time, as well as source, can be changed. For the Hidden EMA, this can be made visible by increasing its transparency.
ARROWS
The buy and sell signal arrows are based on price and MACD histogram.
The MACD settings are as follows: 10 day fast EMA , 20 day slow EMA , 5 day SMA signal smoothing. Instead of close price, we are using the average point of the day's high, low, and close.
For the arrows, current price and yesterday's price are using hl2 for high/low average.
A BUY arrow is created when:
Current Price IS GREATER THAN Previous Price _AND_ Current MACD Histogram IS GREATER THAN Previous MACD Histogram.
Important Note! Because the MACD Histogram repaints, the buy arrows may appear, then disappear later in the day, if the MACD changes. Check on the changelog to see if I've fixed it by the time you're reading this. (TradingView doesn't let you edit the description after it's been posted)
A SELL arrow is created when:
Current Price IS LESS THAN Previous Price _AND_ Current MACD Histogram IS LESS THAN Yesterday's MACD Histogram _AND_ Close Price is below _EITHER_ the Hidden EMA (default set to 4) _OR_ the Visible SMA (Default set to 10, which is the black line).
The hidden EMA can be made visible by increasing it's transparency in the Style tab.
Including the requirement to only sell if the standard conditions are met, PLUS being below one of those moving average lines, helps to prevent false sell arrows and repainting.
TACK MARKS
The Red Tack is the threshold, or barrier, for the next arrow. It will not move. It is based on previous High/Low/Close Price + MACD.
The Blue Tack is the current point in space for our average Price and MACD Delta Values. It will move throughout the day (or hour or minute depending on your resolution). The Blue Tack will give you an indication of how close or how far from the reversal threshold (Red Tack) the ticker is at that point.
While the Blue Tack is ABOVE Red, the most recent signal arrow will be a buy, and we are in a buy/hold period.
While the Blue Tack is BELOW Red, the most recent signal arrow will be a sell, and we are in a sell/wait period.
If the Blue Tack crosses above or below Red, you'll get the next arrow.
MOVING AVERAGE LINES
There are three moving average lines in this indicator.
The first is black, and is by default a 10-Day Simple Moving Average Line.
This black line is a good safeguard against selling too early. This is a good support line and that's how I use it.
The second is invisible, but can be made visible in the Styling, and is by default a 4-Day Exponential Moving Average Line
The third is the blue 20-Day Bollinger Band line.
BOLLINGER BANDS
The Bollinger Bands are unmodified and are just a background indicator for your use. If you prefer not to see the Bollinger Bands , change their transparency to 0% to hide them. I've cleaned up the Bollinger Bands to make the indicator as a whole- easier on the eyes.
Please leave feedback on how the script works for you, if you run into problems, if you have any changes you'd like to see, etc.
MACDouble + RSI (rec. 15min-2hr intrv) Uses two sets of MACD plus an RSI to either long or short. All three indicators trigger buy/sell as one (ie it's not 'IF MACD1 OR MACD2 OR RSI > 1 = buy", its more like "IF 1 AND 2 AND RSI=buy", all 3 match required for trigger)
The MACD inputs should be tweaked depending on timeframe and what you are trading. If you are doing 1, 3, 5 min or real frequent trading then 21/44/20 and 32/66/29 or other high value MACDs should be considered. If you are doing longer intervals like 2, 3, 4hr then consider 9/19/9 and 21/44/20 for MACDs (experiment! I picked these example #s randomly).
Ideal usage for the MACD sets is to have MACD2 inputs at around 1.5x, 2x, or 3x MACD1's inputs.
Other settings to consider: try having fastlength1=macdlength1 and then (fastlength2 = macdlength2 - 2). Like 10/26/10 and 23/48/20. This seems to increase net profit since it is more likely to trigger before major price moves, but may decrease profitable trade %. Conversely, consider FL1=MCDL1 and FL2 = MCDL2 + (FL2 * 0.5). Example: 10/26/10 and 22/48/30 this can increase profitable trade %, though may cost some net profit.
Feel free to message me with suggestions or questions.
Kay_BBandsV3This is the 3rd version of Kay_BBands.
When +DI (Directional Index ) is above -DI , then Upper band will be visible and vice-versa.
This is when the ADX is above the threshold. 28 is the default in this version. I found its more appealing in 5M time frame.
BLUE - ADX under 10
GREEN - Uptrend, ADX over 10
RED - Downtrend, ADX over 10
Use it with another band with setting 20, 0.6 deviation. Prices keeping above or below the 2nd bands upper or lower bounds shows trending conditions.
I didn't know how to update the old script so published it again.
Changes - :
1) Updated default settings for the indicator
2) ADX setting are now DI (28), ADX (10), adx level to check is 10.
3) IMPORTANT one - When DI is up/down, lower/upper band will also have color (more visible that way.)
Play around the settings.. It really eliminates extra indicator checking visually... Please like if you think idea is good.
CM Renko Overlay BarsCM_Renko Overlay Bars V1
Overlays Renko Bars on Regular Price Bars.
Default Renko plot is based on Average True Range. Look Back period adjustable in Inputs Tab.
If you Choose to use "Traditional" Renko bars and pick the Size of the Renko Bars the please read below.
Value in Input Tab is multiplied by .001 (To work on Forex)
1 = 10 pips on EURUSD - 1 X .001 = .001 or 10 Pips
10 = .01 or 100 Pips
1000 = 1 point to the left of decimal. 1 Point in Stocks etc.
10000 = 10 Points on Stocks etc.
***V2 will fix this issue.
Custom Indicator - No Trade Zone Warning Back Ground Highlights!Years ago I did an analysis of my trades. Every period of the day was profitable except for two. From 10:00-1030, and 1:00 to 1:30. (I was actively Day Trading Futures) Imagine a vertical graph broken down in to 30 minute time segments. I had nice Green bars in every time slot (Showing Net Profits), and HUGE Red Bars from 10 to 10:30 and 1 to 1:30. After analysis I found I made consistent profits at session open, but then I would enter in to bad setups around 10 to make more money. I also found after I took lunch when I came back at 1:00 I would force trades instead of patiently waiting for a great trade setup. I created an indicator that plotted a red background around those times telling me I was not allowed to enter a trade. Profits went up!!! Details on How to adjust times are in 1st Post. You can adjust times and colors to meet your own trading needs.
The Profit Screener//@version=6
indicator(title="Profit Screener", shorttitle="Profit Screener", overlay=true)
//========================= ADR PART =========================//
// Current day ka open
dayOpen = request.security(syminfo.tickerid, "D", open , lookahead=barmerge.lookahead_on)
// Previous days ka range
r1 = request.security(syminfo.tickerid, "D", high - low , lookahead=barmerge.lookahead_on)
r2 = request.security(syminfo.tickerid, "D", high - low , lookahead=barmerge.lookahead_on)
r3 = request.security(syminfo.tickerid, "D", high - low , lookahead=barmerge.lookahead_on)
r4 = request.security(syminfo.tickerid, "D", high - low , lookahead=barmerge.lookahead_on)
r5 = request.security(syminfo.tickerid, "D", high - low , lookahead=barmerge.lookahead_on)
r6 = request.security(syminfo.tickerid, "D", high - low , lookahead=barmerge.lookahead_on)
r7 = request.security(syminfo.tickerid, "D", high - low , lookahead=barmerge.lookahead_on)
r8 = request.security(syminfo.tickerid, "D", high - low , lookahead=barmerge.lookahead_on)
r9 = request.security(syminfo.tickerid, "D", high - low , lookahead=barmerge.lookahead_on)
r10 = request.security(syminfo.tickerid, "D", high - low , lookahead=barmerge.lookahead_on)
// ADR averages
adr_10 = (r1+r2+r3+r4+r5+r6+r7+r8+r9+r10) / 10
adr_5 = (r1+r2+r3+r4+r5) / 5
// Plotting ADR (same day par)
adrhigh10 = plot(dayOpen + adr_10/2, title="ADR High10", style=plot.style_circles, color=color.red, linewidth=2)
adrlow10 = plot(dayOpen - adr_10/2, title="ADR Low10", style=plot.style_circles, color=color.green, linewidth=2)
adrhigh5 = plot(dayOpen + adr_5/2, title="ADR High5", style=plot.style_circles, color=color.red, linewidth=2)
adrlow5 = plot(dayOpen - adr_5/2, title="ADR Low5", style=plot.style_circles, color=color.green, linewidth=2)
fill(adrlow10, adrlow5, color=color.new(color.lime, 60))
fill(adrhigh10, adrhigh5, color=color.new(color.maroon, 60))
//========================= EMA PART =========================//
len = input.int(9, minval=1, title="EMA Length")
src = input(close, title="Source")
offset = input.int(title="Offset", defval=0, minval=-500, maxval=500)
out = ta.ema(src, len)
plot(out, title="EMA", color=color.blue, offset=offset)
// --- Smoothing Options
GRP = "Smoothing"
TT_BB = "Only applies when 'SMA + Bollinger Bands' is selected."
maTypeInput = input.string("None", "Type", options= , group=GRP)
maLengthInput = input.int(14, "Length", group=GRP)
bbMultInput = input.float(2.0, "BB StdDev", minval=0.001, maxval=50, step=0.5, tooltip=TT_BB, group=GRP)
isBB = maTypeInput == "SMA + Bollinger Bands"
enableMA = maTypeInput != "None"
ma(source, length, MAtype) =>
switch MAtype
"SMA" => ta.sma(source, length)
"SMA + Bollinger Bands" => ta.sma(source, length)
"EMA" => ta.ema(source, length)
"SMMA (RMA)" => ta.rma(source, length)
"WMA" => ta.wma(source, length)
"VWMA" => ta.vwma(source, length)
smoothingMA = enableMA ? ma(out, maLengthInput, maTypeInput) : na
smoothingStDev = isBB ? ta.stdev(out, maLengthInput) * bbMultInput : na
plot(smoothingMA, "EMA-based MA", color=color.yellow, display= enableMA ? display.all : display.none)
bbUpperBand = plot(smoothingMA + smoothingStDev, "Upper BB", color=color.green, display=isBB ? display.all : display.none)
bbLowerBand = plot(smoothingMA - smoothingStDev, "Lower BB", color=color.green, display=isBB ? display.all : display.none)
fill(bbUpperBand, bbLowerBand, color= isBB ? color.new(color.green, 90) : na)
Multi Indicator Screener# 📊 Multi-Indicator Screener | BB + KC Squeeze + RSI + MACD + ADX
### 🔹 Institutional-Grade Multi-Symbol Scanner with Breakout Alerts
---
## 📌 Overview
The **Multi-Indicator Screener** is an advanced dashboard that monitors **10 symbols simultaneously** with **multi-indicator confluence**:
- 🔹 **Bollinger Bands + Keltner Channel (Squeeze Logic)**
- 🔹 **RSI + MACD Confirmation**
- 🔹 **ADX Trend Strength**
- 🔹 **ATR-based Trailing Stops**
- 🔹 **Volume-Confirmed Breakouts**
Designed for **professional traders**, this screener highlights **high-probability setups** across multiple assets in real time.
---
## ✨ Key Features
### 🔹 Bollinger Band Suite
- ✅ Detects **directional bias** (Bullish / Bearish / Neutral).
- ✅ Marks **Breakouts (Up/Down)** with optional **volume confirmation**.
- ✅ LazyBear-style **Squeeze Detection**:
- 🔒 Squeeze ON → Low volatility, contraction phase.
- 🚀 Squeeze OFF → Breakout potential.
- Neutral → No clear squeeze.
### 🔹 RSI + MACD Confluence
- ✅ RSI confirmation above user-defined threshold (default 55).
- ✅ MACD crossover confirmation.
- ✅ RSI value color-coded in table:
- 🔴 Oversold (<30)
- 🟢 Strong bullish (>60)
- 🟢 Lime (>75 = very strong)
- 🟠 Neutral zone
### 🔹 ADX Trend Strength
- ✅ Displays **ADX value**, plus **+DI / -DI**.
- ✅ ADX > 25 → Highlighted as strong trend.
### 🔹 ATR Trailing Stop Loss
- ✅ Auto-calculated **buy-side trailing stop** & **sell-side trailing stop**.
- ✅ Adjustable via multiplier input.
### 🔹 Multi-Symbol Screener Table
- ✅ Preloaded with **Top 10 Nifty 50 symbols** (customizable).
- ✅ Dashboard columns include:
- Symbol
- BB Direction
- Breakout
- Squeeze Status
- Higher-TF BB Confirmation
- RSI + MACD Signals
- RSI Value
- ADX, +DI, -DI
- Trailing SL (Buy/Sell)
- Volume Confirmation
---
## 🔔 Alerts
Each symbol has **independent breakout alerts**:
- 📢 `Volume-Confirmed BB Breakout Detected`
Alerts fire when a **breakout above/below Bollinger Bands** is confirmed with **above-average volume**.
---
## 📖 How to Use
1. **Select Symbols**
- By default, loads top Nifty 50 stocks.
- Replace with your preferred tickers (`NSE:RELIANCE`, `NASDAQ:AAPL`, `BINANCE:BTCUSDT`, etc.).
2. **Enable Presets**
- **Scalping Mode** → BB Length = 10, Multiplier = 1.5 (more sensitive).
- **Swing Mode** → BB Length = 30, Multiplier = 2.5 (smoother).
3. **Monitor Table**
- Look for **✔️ confirmations** across BB, RSI, MACD, ADX, and Volume.
- Strong setups = multiple confirmations aligning.
4. **Set Alerts**
- Add alerts for your desired symbols to never miss a breakout.
---
## 🎯 Best For
- ✅ Scalpers & Swing Traders
- ✅ Multi-asset monitoring (stocks, forex, crypto)
- ✅ Traders using **volatility breakout + momentum confirmation**
- ✅ Institutional-style dashboard users
---
## ⚠️ Disclaimer
This script is for **educational purposes only**.
It is **not financial advice**. Please backtest before trading.
---
Smart Money Support/Resistance — LiteSmart Money Support/Resistance — Lite
Overview & Methodology
This indicator identifies support and resistance as zones derived from concentrated buying and selling pressure, rather than relying solely on traditional swing highs/lows. Its design focuses on transparency: how data is sourced, how zones are computed, and how the on‑chart display should be interpreted.
Lower‑Timeframe (LTF) Data
The script requests Up Volume, Down Volume, and Volume Delta from a lower timeframe to expose intrabar order‑flow structure that the chart’s native timeframe cannot show. In practical terms, this lets you see where buyers or sellers briefly dominated inside the body of a higher‑timeframe bar.
bool use_custom_tf_input = input.bool(true, title="Use custom lower timeframe", tooltip="Override the automatically chosen lower timeframe for volume calculations.", group=grpVolume)
string custom_tf_input = input. Timeframe("1", title="Lower timeframe", tooltip="Lower timeframe used for up/down volume calculations (default 5 seconds).", group=grpVolume)
import TradingView/ta/10 as tvta
resolve_lower_tf(useCustom, customTF) =>
useCustom ? customTF :
timeframe.isseconds ? "1S" :
timeframe.isintraday ? "1" :
timeframe.isdaily ? "5" : "60"
get_up_down_volume(lowerTf) =>
= tvta.requestUpAndDownVolume(lowerTf)
var float upVolume = na
var float downVolume = na
var float deltaVolume = na
string lower_tf = resolve_lower_tf(use_custom_tf_input, custom_tf_input)
= get_up_down_volume(lower_tf)
upVolume := u_tmp
downVolume := d_tmp
deltaVolume := dl_tmp
• Data source: TradingView’s ta.requestUpAndDownVolume(lowerTf) via the official TA library.
• Plan capabilities: higher‑tier subscriptions unlock seconds‑based charts and allow more historical bars per chart. This expands both the temporal depth of LTF data and the precision of short‑horizon analysis, while base tiers provide minute‑level data suitable for day/short‑swing studies.
• Coverage clarity: a small on‑chart Coverage Panel reports the active lower timeframe, the number of bars covered, and the latest computed support/resistance ranges so you always know the bounds of valid LTF input.
Core Method
1) Data acquisition (LTF)
The script retrieves three series from the chosen lower timeframe:
– Up Volume (buyers)
– Down Volume (sellers)
– Delta (Up – Down)
2) Rolling window & extrema
Over a user‑defined lookback (Global Volume Period), the algorithm builds rolling arrays of completed bars and scans for extrema:
– Buyers_max / Buyers_min from Up Volume
– Sellers_max / Sellers_min from Down Volume
Only completed bars are considered; the current bar is excluded for stability.
3) Price mapping
The extrema are mapped back to their source candles to obtain price bounds:
– For “maximum” roles the algorithm uses the relevant candle highs.
– For “minimum” roles it uses the relevant candle lows.
These pairs define candidate resistance (max‑based) and support (min‑based) zones or vice versa.
4) Zone construction & minimum width
To ensure practicality on all symbols, zones enforce a minimum vertical thickness of two ticks. This prevents visually invisible or overly thin ranges on instruments with tight ticks.
5) Vertical role resolution
When both max‑ and min‑based zones exist, the script compares their midpoints. If, due to local price structure, the min‑based zone sits above the max‑based zone, display roles are swapped so the higher zone is labeled Resistance and the lower zone Support. Colors/widths are updated accordingly to keep the visual legend consistent.
6) Rendering & panel
Two horizontal lines and a filled box represent each active zone. The Coverage Panel (bottom‑right by default) prints:
– Lower‑timeframe in use
– Number of bars covered by LTF data
– Current Support and Resistance ranges
If the two zones overlap, an additional “Range Market” note is shown.
Key Inputs
• Global Volume Period: shared lookback window for the extrema search.
• Lower timeframe: user‑selectable override of the automatically resolved lower timeframe.
• Visualization toggles: independent show/hide controls and colors for maximum (resistance) and minimum (support) zones.
• Coverage Panel: enable/disable the single‑cell table and its readout.
Operational Notes
• The algorithm aligns all lookups to completed bars (no peeking). Price references are shifted appropriately to avoid using the still‑forming bar in calculations.
• Second‑based lower timeframes improve granularity for scalping and very short‑term entries. Minute‑based lower timeframes provide broader coverage for intraday and short‑swing contexts.
• Use the Coverage Panel to confirm the true extent of available LTF history on your symbol/plan before drawing conclusions from very deep lookbacks.
Visual Walkthrough
A step‑by‑step image sequence accompanies this description. Each figure demonstrates how the indicator reads LTF volume, locates extrema, builds price‑mapped zones, and updates labels/colors when vertical order requires it.
Chart Interpretation
This chart illustrates two distinct perspectives of the Smart Money Support/Resistance — Lite indicator, each derived from different lookback horizons and lower-timeframe (LTF) resolutions.
1- Short-term view (43 bars, 10-second LTF)
Using the most recent 43 completed bars with 10-second intrabar data, the algorithm detects that both maximum and minimum volume extrema fall within a narrow range. The result is a clearly identified range market: resistance between 178.15–184.55 and support between 175.02–179.38.
The Coverage Panel (bottom-right) confirms the scope of valid input: the lower timeframe used, number of bars covered, and the resulting zones. This short-term scan highlights how the indicator adapts to limited data depth, flagging sideways structure where neither side dominates.
2 - Long-term view (120 bars, 30-second LTF)
Over a wider 120-bar lookback with higher-granularity 30-second data, broader supply and demand zones emerge.
– The long-term resistance zone captures the concentration of buyers and sellers at the upper boundary of recent price history.
– The long-term support zone anchors to the opposite side of the distribution, derived from maxima and minima of both buying and selling pressure.
These zones reflect deeper structural levels where market participants previously committed significant volume.
Combined Perspective
By aligning the short-term and long-term outputs, the chart shows how the indicator distinguishes immediate consolidation (range market) from more durable support and resistance levels derived from extended history. This dual resolution approach makes clear that support and resistance are not static lines but dynamic zones, dependent on both timeframe depth and the resolution of intrabar volume data.
Opening Range IndicatorComplete Trading Guide: Opening Range Breakout Strategy
What Are Opening Ranges?
Opening ranges capture the high and low prices during the first few minutes of market open. These levels often act as key support and resistance throughout the trading day because:
Heavy volume occurs at market open as overnight orders execute
Institutional activity is concentrated during opening minutes
Price discovery happens as market participants react to overnight news
Psychological levels are established that traders watch all day
Understanding the Three Timeframes
OR5 (5-Minute Range: 9:30-9:35 AM)
Most sensitive - captures immediate market reaction
Quick signals but higher false breakout rate
Best for scalping and momentum trading
Use for early entry when conviction is high
OR15 (15-Minute Range: 9:30-9:45 AM)
Balanced approach - most popular among day traders
Moderate sensitivity with better reliability
Good for swing trades lasting several hours
Primary timeframe for most strategies
OR30 (30-Minute Range: 9:30-10:00 AM)
Most reliable but slower signals
Lower false breakout rate
Best for position trades and trend following
Use when looking for major moves
Core Trading Strategies
Strategy 1: Basic Breakout
Setup:
Wait for price to break above OR15 high or below OR15 low
Enter on the breakout candle close
Stop loss: Opposite side of the range
Target: 2-3x the range size
Example:
OR15 range: $100.00 - $102.00 (Range = $2.00)
Long entry: Break above $102.00
Stop loss: $99.50 (below OR15 low)
Target: $104.00+ (2x range size)
Strategy 2: Multiple Confirmation
Setup:
Wait for OR5 break first (early signal)
Confirm with OR15 break in same direction
Enter on OR15 confirmation
Stop: Below OR30 if available, or OR15 opposite level
Why it works:
Multiple timeframe confirmation reduces false signals and increases probability of sustained moves.
Strategy 3: Failed Breakout Reversal
Setup:
Price breaks OR15 level but fails to hold
Wait for re-entry into the range
Enter reversal trade toward opposite OR level
Stop: Recent breakout high/low
Target: Opposite side of range + extension
Key insight: Failed breakouts often lead to strong moves in the opposite direction.
Advanced Techniques
Range Quality Assessment
High-Quality Ranges (Trade these):
Range size: 0.5% - 2% of stock price
Clean boundaries (not choppy)
Volume spike during range formation
Clear rejection at range levels
Low-Quality Ranges (Avoid these):
Very narrow ranges (<0.3% of stock price)
Extremely wide ranges (>3% of stock price)
Choppy, overlapping candles
Low volume during formation
Volume Confirmation
For Breakouts:
Look for volume spike (2x+ average) on breakout
Declining volume often signals false breakout
Rising volume during range formation shows interest
Market Context Filters
Best Conditions:
Trending market days (SPY/QQQ with clear direction)
Earnings reactions or news-driven moves
High-volume stocks with good liquidity
Volatility above average (VIX considerations)
Avoid Trading When:
Extremely low volume days
Major economic announcements pending
Holidays or half-days
Choppy, sideways market conditions
Risk Management Rules
Position Sizing
Conservative: Risk 0.5% of account per trade
Moderate: Risk 1% of account per trade
Aggressive: Risk 2% maximum per trade
Stop Loss Placement
Inside the range: Quick exit but higher stop-out rate
Outside opposite level: More room but larger risk
ATR-based: 1.5-2x Average True Range below entry
Profit Taking
Target 1: 1x range size (take 50% off)
Target 2: 2x range size (take 25% off)
Runner: Trail remaining 25% with moving stops
Specific Entry Techniques
Breakout Entry Methods
Method 1: Immediate Entry
Enter as soon as price closes above/below range
Fastest entry but highest false signal rate
Best for strong momentum situations
Method 2: Pullback Entry
Wait for breakout, then pullback to range level
Enter when price bounces off former resistance/support
Better risk/reward but may miss some moves
Method 3: Volume Confirmation
Wait for breakout + volume spike
Enter after volume confirmation candle
Reduces false signals significantly
Multiple Timeframe Entries
Aggressive: OR5 break → immediate entry
Conservative: OR5 + OR15 + OR30 all align → enter
Balanced: OR15 break with OR30 support → enter
Common Mistakes to Avoid
1. Trading Poor-Quality Ranges
❌ Don't trade ranges that are too narrow or too wide
✅ Focus on clean, well-defined ranges with good volume
2. Ignoring Volume
❌ Don't chase breakouts without volume confirmation
✅ Always check for volume spike on breakouts
3. Over-Trading
❌ Don't force trades when ranges are unclear
✅ Wait for high-probability setups only
4. Poor Risk Management
❌ Don't risk more than planned or use tight stops in volatile conditions
✅ Stick to predetermined risk levels
5. Fighting the Trend
❌ Don't fade breakouts in strongly trending markets
✅ Align trades with overall market direction
Daily Trading Routine
Pre-Market (8:00-9:30 AM)
Check overnight news and earnings
Review major indices (SPY, QQQ, IWM)
Identify potential opening range candidates
Set alerts for range breakouts
Market Open (9:30-10:00 AM)
Watch opening range formation
Note volume and price action quality
Mark key levels on charts
Prepare for breakout signals
Trading Session (10:00 AM - 4:00 PM)
Execute breakout strategies
Manage existing positions
Trail stops as profits develop
Look for additional setups
Post-Market Review
Analyze winning and losing trades
Review range quality vs. outcomes
Identify improvement areas
Prepare for next session
Best Stocks/ETFs for Opening Range Trading
Large Cap Stocks (Best for beginners):
AAPL, MSFT, GOOGL, AMZN, TSLA
High liquidity, predictable behavior
Good range formation most days
ETFs (Consistent patterns):
SPY, QQQ, IWM, XLF, XLE
Excellent liquidity
Clear range boundaries
Mid-Cap Growth (Advanced traders):
Stocks with good volume (1M+ shares daily)
Recent news catalysts
Clean technical patterns
Performance Optimization
Track These Metrics:
Win rate by range type (OR5 vs OR15 vs OR30)
Average R/R (risk vs reward ratio)
Best performing market conditions
Time of day performance
Continuous Improvement:
Keep detailed trade journal
Review failed breakouts for patterns
Adjust position sizing based on win rate
Refine entry timing based on backtesting
Final Tips for Success
Start small - Paper trade or use tiny positions initially
Focus on quality - Better to miss trades than take bad ones
Stay disciplined - Stick to your rules even during losing streaks
Adapt to conditions - What works in trending markets may fail in choppy conditions
Keep learning - Markets evolve, so should your approach
The opening range strategy is powerful because it captures natural market behavior, but like all strategies, it requires practice, discipline, and proper risk management to be profitable long-term.
Multi-Symbol RSI/ADX Monitor# 📊 Multi-Symbol RSI/ADX Monitor + EMA Trend Analyzer
### 🔹 Smart Trend Analyzer with Golden/Death Cross Signals + Multi-Symbol Scanner
---
## 📌 Overview
The **Multi-Symbol RSI/ADX Monitor + EMA Trend Analyzer** combines **trend detection**, **crossover signals**, and a **multi-asset strength scanner** into a single tool.
- 🔹 **EMA Trend Analyzer** → Detects strong/weak bullish & bearish phases based on price vs EMAs, slope, and crossovers.
- 🔹 **RSI/ADX Scanner** → Monitors up to **10 custom tickers** in a dynamic table for relative strength & momentum.
- 🔹 **Alerts** → Catch **Strong Trends** or **Golden/Death Crosses** instantly.
Perfect for traders who want to track **trend bias** on their main chart while scanning **other assets for confirmation**.
---
## ✨ Key Features
### 🔹 EMA Trend Analyzer
- ✅ Plots **Fast EMA (20)** & **Slow EMA (50)**.
- ✅ Main **Trend EMA (100)** with slope confirmation.
- ✅ Detects **5 Market States**:
- 🟢 Strong Bullish (Green)
- 🟢 Moderate Bullish (Lime)
- 🟠 Moderate Bearish (Orange)
- 🔴 Strong Bearish (Red)
- ⚪ Neutral / Sideways (Gray)
- ✅ Highlights **Golden Cross** & **Death Cross**:
- 🎯 Golden Cross → Fast EMA crosses above Slow EMA (Green dot + label)
- 🎯 Death Cross → Fast EMA crosses below Slow EMA (Red dot + label)
- ✅ Dynamic **trend label** on the right edge (shows trend + crossover info).
- ✅ Optional **background shading** by trend strength.
---
### 🔹 Multi-Symbol RSI/ADX Monitor
- ✅ Track up to **10 tickers** simultaneously.
- ✅ Calculates **RSI & ADX** per symbol on the current chart’s timeframe.
- ✅ **Table display** with flexible position (top, middle, bottom).
- ✅ Highlights assets meeting both **RSI ≥ Threshold** & **ADX ≥ Threshold**.
- ✅ Handles empty slots gracefully → `"No symbols selected"`.
---
### 🔹 Alerts
- 📢 **Strong Bullish Trend**
- 📢 **Strong Bearish Trend**
- 📢 **Golden Cross (EMA Fast > Slow)**
- 📢 **Death Cross (EMA Fast < Slow)**
---
## 📖 How to Use
1. **EMA Analyzer**
- Enable *“Show Trend Direction”* to see EMA-based market bias.
- Look for **color-coded labels** & **background shading** to guide bias.
- Watch for **Golden/Death Cross dots** as entry/exit signals.
2. **RSI/ADX Scanner**
- Enter up to **10 tickers** (e.g., `NASDAQ:AAPL`, `BINANCE:BTCUSDT`).
- Adjust **RSI/ADX Lengths & Thresholds** to match your strategy.
- Monitor the **table panel** for which markets show **strong trend confirmation**.
3. **Alerts**
- Add alerts to catch **trend shifts** or **crossovers** without watching charts 24/7.
---
## 🎯 Best For
- ✅ Trend traders
- ✅ Swing traders
- ✅ Multi-asset confluence trading
- ✅ Traders using **EMA + RSI + ADX confirmation**
---
## ⚠️ Disclaimer
This script is for **educational purposes only**.
It is **not financial advice**. Please trade responsibly.
---
主力资金进出监控器Main Capital Flow Monitor-MEWINSIGHTMain Capital Flow Monitor Indicator
Indicator Description
This indicator utilizes a multi-cycle composite weighting algorithm to accurately capture the movement of main capital in and out of key price zones. The core logic is built upon three dimensions:
Multi-Cycle Pressure/Support System
Using triple timeframes (500-day/250-day/90-day) to calculate:
Long-term resistance lines (VAR1-3): Monitoring historical high resistance zones
Long-term support lines (VAR4-6): Identifying historical low support zones
EMA21 smoothing is applied to eliminate short-term fluctuations
Dynamic Capital Activity Engine
Proprietary VARD volatility algorithm:
VARD = EMA
Automatically amplifies volatility sensitivity by 10x when price approaches the safety margin (VARA×1.35), precisely capturing abnormal main capital movements
Capital Inflow Trigger Mechanism
Capital entry signals require simultaneous fulfillment of:
Price touching 30-day low zone (VARE)
Capital activity breaking recent peaks (VARF)
Weighted capital flow verified through triple EMA:
Capital Entry = EMA / 618
Visualization:
Green histogram: Continuous main capital inflow
Red histogram: Abnormal daily capital movement intensity
Column height intuitively displays capital strength
Application Scenarios:
Consecutive green columns → Main capital accumulation at bottom
Sudden expansion of red columns → Abnormal main capital rush
Continuous fluctuations near zero axis → Main capital washing phase
Core Value:
Provides 1-3 trading days early warning of main capital movements, suitable for:
Medium/long-term investors identifying main capital accumulation zones
Short-term traders capturing abnormal main capital breakouts
Risk control avoiding main capital distribution phases
Parameter Notes: Default parameters are optimized through historical A-share market backtesting. Users can adjust cycle parameters according to different market characteristics (suggest extending cycles by 20% for European/American markets).
Formula Features:
Multi-timeframe weighted synthesis technology
Dynamic sensitivity adjustment mechanism
Main capital activity intensity quantification
Early warning function for capital movements
Suitable Markets:
Stocks, futures, cryptocurrencies and other financial markets with obvious main capital characteristics.
指标名称：主力资金进出监控器
指标描述：
本指标通过多周期复合加权算法，精准捕捉主力资金在关键价格区域的进出动向。核心逻辑基于三大维度构建：
多周期压力/支撑体系
通过500日/250日/90日三重时间框架，分别计算：
长期压力线（VAR1-3）：监控历史高位阻力区
长期支撑线（VAR4-6）：识别历史低位承接区
采用EMA21平滑处理，消除短期波动干扰
动态资金活跃度引擎
独创VARD波动率算法：
当价格接近安全边际（VARA×1.35）时自动放大波动敏感度10倍，精准捕捉主力异动
资金进场触发机制
资金入场信号需同时满足：
价格触及30日最低区域（VARE）
资金活跃度突破近期峰值（VARF）
通过三重EMA验证的加权资金流：
资金入场 = EMA / 618
可视化呈现：
绿色柱状图：主力资金持续流入
红色柱状图：当日资金异动量级
柱体高度直观显示资金强度
使用场景：
绿色柱体连续出现 → 主力底部吸筹
红色柱体突然放大 → 主力异动抢筹
零轴附近持续波动 → 主力洗盘阶段
核心价值：
提前1-3个交易日预警主力资金动向，适用于：
中长线投资者识别主力建仓区间
短线交易者捕捉主力异动突破
风险控制规避主力出货阶段
参数说明：默认参数经A股历史数据回测优化，用户可根据不同市场特性调整周期参数（建议欧美市场延长周期20%）
