Custom GAP UP scanner for NIFTY StocksThe security function can be called 40 times in a codescript. We can therefore scan about 40 stocks out of NIFTY 50 stocks with a single script.
This code can be modified to search for other scripts by changing the condition function
condition() => open > (close * 1.0025)
Only stocks which have gap up of 0.25% or more will be reported.
Search in scripts for "nifty"
BETA (against any benchmark index - defaulted to NSE:NIFTY)Beta value of a stock relative to benchmark index. Thanks to Ricardo Santos for the original script. This script is adapted from it.
To understand beta, refer Investopedia link: www.investopedia.com
A beta value of 1 means the stock is directly correlated to benchmark index - volatility would be same as overall market.
Beta value less than 1 and greater than 0 means the stock is less volatile than the market.
Beta value more than 1 would mean the stock is more volatile than the market.
A beta value of 1.2 would roughly translate to the stock being 20% more volatile than the overall market.
A negative beta value indicates the stock is inversely correlated to market.
In the example chart, you can see the Beta value change in NSE:RELIANCE with respect to NSE:NIFTY.
Gann Levels For Nifty Gann Levels for nifty 50 is very important to trade in options. so i create 50 gann levels for intraday trading.
Nifty/BankNifty Scalping Nifty/BankNifty Scalping - 1 Min
it will give you buy sell signal atomically
don't change any value for high accuracy
Using sevral indicator possiblity to have a stop loss but trsut is the best thing for everyone
Nifty Options Trendy Markets with TSLNifty options strategy that works on volume, technical analysis etc
NIFTY USDNifty in terms of USD value over time.
Nifty 50 index of Indian Stock Market, in terms of US Dollar terms at that specific time.
ILM NSE Nifty DashboardUse this indicator on Daily Timeframe
This indicator shows important metrics of NIFTY and its top 7 constituent stocks (Banks are excluded as there is a separate dashboard for BANKNIFTY).
This indicator is similar to Open Interest indicator but consolidates the data for NIFTY stocks
For more information, look at the Open Interest Indicator
nifty gann & 100 levelsnifty gannlevels with 100 points defference
gann levels with manual entry of cuurent gann level
manual entry of diffeence between two gann levels
Artharjan INDIA VIX v/s Nifty Volatility DashboardHi,
I have created Artharjan INDIA VIX v/s Nifty Volatility Dashboard to forecast the Annual, Quarterly, Monthly, Weekly, Daily and Hourly Volatility of NIFTY Benchmark Index based on current value of INDIA VIX. This will help Index Options Sellers to decide the range of Nifty for the given period based on current level of volatility indicated by INDIA VIX.
Options Sellers may make use of the Min Range and Max Range values for the Strike Price Selection.
Regards
Rahul Desai
@Artharjan
Heavy Weight Stocks for Bank NiftyHeavy Weight Stocks for Bank Nifty
Stocks which are part of Bank Nifty are displayed in the table.
If the %Change > 1 then bold green
If the %Change <1 and >0, then light green
If the %Change < -1 then bold red
If the %Change > -1 and <0 then light green
NSE:BANKNIFTY
NSE:HDFCBANK
NSE:ICICIBANK
NSE:AXISBANK
NSE:KOTAKBANK
NSE:SBIN
NSE:NIFTY
NSE:RELIANCE
NSE:HDFC
QuantAnna: Nifty VIX CorrelationNSE:NIFTY
Simple correlation indicator which oscillates around zero
Shows default correlation with NSE:IndiaVix
You can use it to check correlation with any other trading symbol or indices by simply selecting it in the settings.
Relative Strength : Indian Stocks VS NIFTYIt measures the Relative strength of Indian Stocks vs NIFTY Index
Nifty 50 5mint Strategy
The script defines a specific trading session based on user inputs. This session is specified by a time range (e.g., "1000-1510") and selected days of the week (e.g., Monday to Friday). This session definition is crucial for trading only during specific times.
Lookback and Breakout Conditions:
The script uses a lookback period and the highest high and lowest low values to determine potential breakout points. The lookback period is user-defined (default is 10 periods).
The script also uses Bollinger Bands (BB) to identify potential breakout conditions. Users can enable or disable BB crossover conditions. BB consists of an upper and lower band, with the basis.
Additionally, the script uses Dema (Double Exponential Moving Average) and VWAP (Volume Weighted Average Price) . Users can enable or disable this condition.
Buy and Sell Conditions:
Buy conditions are met when the close price exceeds the highest high within the specified lookback period, Bollinger Bands conditions are satisfied, Dema-VWAP conditions are met, and the script is within the defined trading session.
Sell conditions are met when the close price falls below the lowest low within the lookback period, Bollinger Bands conditions are satisfied, Dema-VWAP conditions are met, and the script is within the defined trading session.
When either condition is met, it triggers a "long" or "short" position entry.
Trailing Stop Loss (TSL):
Users can choose between fixed points ( SL by points ) or trailing stop (Profit Trail).
For fixed points, users specify the number of points for the stop loss. A fixed stop loss is set at a certain distance from the entry price if a position is opened.
For Profit Trail, users can enable or disable this feature. If enabled, the script uses a "trail factor" (lookback period) to determine when to adjust the stop loss.
If the price moves in the direction of the trade and reaches a certain level (determined by the trail factor), the stop loss is adjusted, trailing behind the price to lock in profits.
If the close price falls below a certain level (lowest low within the trail factor(lookback)), and a position is open, the "long" position is closed (strategy.close("long")).
If the close price exceeds a certain level (highest high within the specified trail factor(lookback)), and a position is open, the "short" position is closed (strategy.close("short")).
Positions are also closed if they are open outside of the defined trading session.
Background Color:
The script changes the background color of the chart to indicate buy (green) and sell (red) signals, making it visually clear when the strategy conditions are met.
In summary, this script implements a breakout trading strategy with various customizable conditions, including Bollinger Bands, Dema-VWAP crossovers, and session-specific rules. It also includes options for setting stop losses and trailing stop losses to manage risk and lock in profits. The "trail factor" helps adjust trailing stops dynamically based on recent price movements. Positions are closed under certain conditions to manage risk and ensure compliance with the defined trading session.
CE=Buy, CE_SL=stoploss_buy, tCsl=Trailing Stop_buy.
PE=sell, PE_SL= stoploss_sell, tpsl=Trailing Stop_sell.
Remember that trading involves inherent risks, and past performance is not indicative of future results. Exercise caution, manage risk diligently, and consider the advice of financial experts when using this script or any trading strategy.
nifty supertrend tritonTrend based Strategy based on EMA , ATR and supertrend . Currently being used and testing on Nifty and Banknifty with adjusted parameters .
Do backtest before taking any trade
Nifty Dashboard//@version=5
//Author @GODvMarkets
indicator("GOD NSE Nifty Dashboard", "Nifty Dashboard")
i_timeframe = input.timeframe("D", "Timeframe")
// if not timeframe.isdaily
// runtime.error("Please switch timeframe to Daily")
i_text_size = input.string(size.auto, "Text Size", )
//-----------------------Functions-----------------------------------------------------
f_oi_buildup(price_chg_, oi_chg_) =>
switch
price_chg_ > 0 and oi_chg_ > 0 =>
price_chg_ > 0 and oi_chg_ < 0 =>
price_chg_ < 0 and oi_chg_ > 0 =>
price_chg_ < 0 and oi_chg_ < 0 =>
=>
f_color(val_) => val_ > 0 ? color.green : val_ < 0 ? color.red : color.gray
f_bg_color(val_) => val_ > 0 ? color.new(color.green,80) : val_ < 0 ? color.new(color.red,80) : color.new(color.black,80)
f_bg_color_price(val_) =>
fg_color_ = f_color(val_)
abs_val_ = math.abs(val_)
transp_ = switch
abs_val_ > .03 => 40
abs_val_ > .02 => 50
abs_val_ > .01 => 60
=> 80
color.new(fg_color_, transp_)
f_bg_color_oi(val_) =>
fg_color_ = f_color(val_)
abs_val_ = math.abs(val_)
transp_ = switch
abs_val_ > .10 => 40
abs_val_ > .05 => 50
abs_val_ > .025 => 60
=> 80
color.new(fg_color_, transp_)
f_day_of_week(time_=time) =>
switch dayofweek(time_)
1 => "Sun"
2 => "Mon"
3 => "Tue"
4 => "Wed"
5 => "Thu"
6 => "Fri"
7 => "Sat"
//-------------------------------------------------------------------------------------
var table table_ = table.new(position.middle_center, 22, 20, border_width = 1)
var cols_ = 0
var text_color_ = color.white
var bg_color_ = color.rgb(1, 5, 19)
f_symbol(idx_, symbol_) =>
symbol_nse_ = "NSE" + ":" + symbol_
fut_cur_ = "NSE" + ":" + symbol_ + "1!"
fut_next_ = "NSE" + ":" + symbol_ + "2!"
= request.security(symbol_nse_, i_timeframe, [close, close-close , close/close -1, volume], ignore_invalid_symbol = true, lookahead = barmerge.lookahead_on)
= request.security(fut_cur_, i_timeframe, , ignore_invalid_symbol = true, lookahead = barmerge.lookahead_on)
= request.security(fut_next_, i_timeframe, , ignore_invalid_symbol = true, lookahead = barmerge.lookahead_on)
= request.security(fut_cur_ + "_OI", i_timeframe, [close, close-close ], ignore_invalid_symbol = true, lookahead = barmerge.lookahead_on)
= request.security(fut_next_ + "_OI", i_timeframe, [close, close-close ], ignore_invalid_symbol = true, lookahead = barmerge.lookahead_on)
stk_vol_ = stk_vol_nse_
fut_vol_ = fut_cur_vol_ + fut_next_vol_
fut_oi_ = fut_cur_oi_ + fut_next_oi_
fut_oi_chg_ = fut_cur_oi_chg_ + fut_next_oi_chg_
fut_oi_chg_pct_ = fut_oi_chg_ / fut_oi_
fut_stk_vol_x_ = fut_vol_ / stk_vol_
fut_vol_oi_action_ = fut_vol_ / math.abs(fut_oi_chg_)
= f_oi_buildup(chg_pct_, fut_oi_chg_pct_)
close_color_ = fut_cur_close_ > fut_vwap_ ? color.green : fut_cur_close_ < fut_vwap_ ? color.red : text_color_
if barstate.isfirst
row_ = 0, col_ = 0
table.cell(table_, col_, row_, "Symbol", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size), col_ += 1
table.cell(table_, col_, row_, "Close", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size), col_ += 1
table.cell(table_, col_, row_, "VWAP", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size), col_ += 1
table.cell(table_, col_, row_, "Pts", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size), col_ += 1
table.cell(table_, col_, row_, "Stk Vol", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size), col_ += 1
table.cell(table_, col_, row_, "Fut Vol", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size), col_ += 1
table.cell(table_, col_, row_, "Fut/Stk Vol", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size), col_ += 1
table.cell(table_, col_, row_, "OI Cur", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size), col_ += 1
table.cell(table_, col_, row_, "OI Next", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size), col_ += 1
table.cell(table_, col_, row_, "OI Cur Chg", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size), col_ += 1
table.cell(table_, col_, row_, "OI Next Chg", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size), col_ += 1
table.cell(table_, col_, row_, "COI ", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size), col_ += 1
table.cell(table_, col_, row_, "COI Chg", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size), col_ += 1
table.cell(table_, col_, row_, "Vol/OI Chg", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size), col_ += 1
table.cell(table_, col_, row_, "COI Chg%", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size), col_ += 1
table.cell(table_, col_, row_, "Pr.Chg%", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size), col_ += 1
table.cell(table_, col_, row_, "OI Buildup", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size), col_ += 1
cell_color_ = color.white
cell_bg_color_ = color.rgb(1, 7, 24)
if barstate.islast
row_ = idx_, col_ = 0
table.cell(table_, col_, row_, str.format("{0}", symbol_), text_color = f_color(chg_pct_), bgcolor = f_bg_color_price(chg_pct_), text_size = i_text_size, text_halign = text.align_left), col_ += 1
table.cell(table_, col_, row_, str.format("{0,number,#.00}", fut_cur_close_), text_color = close_color_, bgcolor = cell_bg_color_, text_size = i_text_size, text_halign = text.align_right), col_ += 1
table.cell(table_, col_, row_, str.format("{0,number,#.00}", fut_vwap_), text_color = cell_color_, bgcolor = cell_bg_color_, text_size = i_text_size, text_halign = text.align_right), col_ += 1
table.cell(table_, col_, row_, str.format("{0,number,0.00}", chg_pts_), text_color = cell_color_, bgcolor = cell_bg_color_, text_size = i_text_size, text_halign = text.align_right), col_ += 1
table.cell(table_, col_, row_, str.format("{0,number,#,###}", stk_vol_), text_color = cell_color_, bgcolor = cell_bg_color_, text_size = i_text_size, text_halign = text.align_right), col_ += 1
table.cell(table_, col_, row_, str.format("{0,number,#,###}", fut_vol_), text_color = cell_color_, bgcolor = cell_bg_color_, text_size = i_text_size, text_halign = text.align_right), col_ += 1
table.cell(table_, col_, row_, str.format("{0,number,0.00}", fut_stk_vol_x_), text_color = cell_color_, bgcolor = cell_bg_color_, text_size = i_text_size, text_halign = text.align_right), col_ += 1
table.cell(table_, col_, row_, str.format("{0,number,#,###}", fut_cur_oi_), text_color = cell_color_, bgcolor = cell_bg_color_, text_size = i_text_size, text_halign = text.align_right), col_ += 1
table.cell(table_, col_, row_, str.format("{0,number,#,###}", fut_next_oi_), text_color = cell_color_, bgcolor = cell_bg_color_, text_size = i_text_size, text_halign = text.align_right), col_ += 1
table.cell(table_, col_, row_, str.format("{0,number,#,###}", fut_cur_oi_chg_), text_color = f_color(fut_cur_oi_chg_), bgcolor = f_bg_color(fut_cur_oi_chg_), text_size = i_text_size, text_halign = text.align_right), col_ += 1
table.cell(table_, col_, row_, str.format("{0,number,#,###}", fut_next_oi_chg_), text_color = f_color(fut_next_oi_chg_), bgcolor = f_bg_color(fut_next_oi_chg_), text_size = i_text_size, text_halign = text.align_right), col_ += 1
table.cell(table_, col_, row_, str.format("{0,number,#,###}", fut_oi_), text_color = cell_color_, bgcolor = cell_bg_color_, text_size = i_text_size, text_halign = text.align_right), col_ += 1
table.cell(table_, col_, row_, str.format("{0,number,#,###}", fut_oi_chg_), text_color = f_color(fut_oi_chg_), bgcolor = f_bg_color(fut_oi_chg_), text_size = i_text_size, text_halign = text.align_right), col_ += 1
table.cell(table_, col_, row_, str.format("{0,number,0.00}", fut_vol_oi_action_), text_color = cell_color_, bgcolor = cell_bg_color_, text_size = i_text_size, text_halign = text.align_right), col_ += 1
table.cell(table_, col_, row_, str.format("{0,number,0.00%}", fut_oi_chg_pct_), text_color = f_color(fut_oi_chg_pct_), bgcolor = f_bg_color_oi(fut_oi_chg_pct_), text_size = i_text_size, text_halign = text.align_right), col_ += 1
table.cell(table_, col_, row_, str.format("{0,number,0.00%}", chg_pct_), text_color = f_color(chg_pct_), bgcolor = f_bg_color_price(chg_pct_), text_size = i_text_size, text_halign = text.align_right), col_ += 1
table.cell(table_, col_, row_, str.format("{0}", oi_buildup_), text_color = oi_buildup_color_, bgcolor = color.new(oi_buildup_color_,80), text_size = i_text_size, text_halign = text.align_left), col_ += 1
idx_ = 1
f_symbol(idx_, "BANKNIFTY"), idx_ += 1
f_symbol(idx_, "NIFTY"), idx_ += 1
f_symbol(idx_, "CNXFINANCE"), idx_ += 1
f_symbol(idx_, "RELIANCE"), idx_ += 1
f_symbol(idx_, "HDFC"), idx_ += 1
f_symbol(idx_, "ITC"), idx_ += 1
f_symbol(idx_, "HINDUNILVR"), idx_ += 1
f_symbol(idx_, "INFY"), idx_ += 1
NIFTY - Heatmap [DRK]Nifty 50 Heatmap by Percentage Change
This Pine Script generates a dynamic heatmap for the top 40 weighted stocks in the Nifty 50 index, ordered by their percentage change. The heatmap visually represents the performance of these stocks, with green indicating positive changes and red indicating negative changes.
Features :
Real-time Updates : The heatmap updates in real-time, providing an up-to-date snapshot of market performance.
Color Coding : Stocks are color-coded based on their percentage change, making it easy to identify gainers and losers at a glance.
Future Enhancements:
Indicator : Planned updates include popups or descriptions that provide additional insights, such as key indicators and their positive or negative signals.
Detailed Analysis : Future versions will offer more detailed analysis and insights to help traders make informed decisions.
Stay tuned for these exciting updates!
Nifty TOP 10 Puller and Drggaers by Deehi guys this is a straightforward indicator that shows the top 10 nitty pullers and dragger
How to use it ?
in the table, you can see the values of each puller and dragger well as their contribution amount and it will show if they puller or dragger
graph shows the puller and dragger using a line
both have max 100 points allocated
if they exceed the 100 points then a line will struck their ( point to remember ) it does not glitch
so it will give Ruf idea of who is strong
if buyers are strong then the green lien will always be upside
if sellers are string then the red line will always be upside
*Cross Over *
there are 2 types of cross over 1 is bull cross over other is bear cross over
when bulls are strong they will cross over the red from the bottom it showing that significantly strong
when bear is strong they will cross over the green from the bottom it shows that bear is significantly strong
hope you understand how to use it
we have limitation in trading view so we choose only 10 stock to calculate the %
NIFTY IT volumeKEY TAKEAWAYS
-Uses NIFTY IT Index Stocks Volume .
-NIFTY IT Volume Indicator is created by adding all 10 NIFTY IT Stocks Volume together.
-NIFTY IT Volume will be an important indicator in NIFTY IT Index technical analysis because it is used to measure the relative significance of a market move.
-The higher the volume during a NIFTY IT index price move, the more significant the move and the lower the volume during a NIFTY IT index price move, the less significant the move.
-Moving Average is also added.
Nifty - Gap up Screener
Sample Stock Screener NSE is used to identify the list of Gap up Stocks from provided list. Modify script for other conditions
original credits: achalmeena ( )
Nifty & BN 2 Candle Theory Back Testing and Alert Notification How To Initiate Long Trade-in Index Future/ Buy Call Options – 3 Min TF
▪ If The Index Futures Trades Above The VWAP, the Following Parameters are Checked For 2 Candle Theory on the long side
▪ RSI Trades Above 50 & Between 50-75/80
▪ Volume Of 2 Consecutive Bars Is Above 50 K for BN & 125 K For Nifty
▪ All the indicators (Parabolic SAR, Super Trend, VMA, VWAP) Below the Candles
▪ When the above conditions are met enter In 3rd Candle, With 1st Candle High As SL
How I Initiate Short Trade-In Index Future/ Buy Put Options – 3 Min TF
▪ If The Index Futures Trades Below The VWAP, the Following Parameters are Checked For 2 Candle Theory on the short side
▪ RSI Trades Below 40 & Between 40-25/20
▪ Volume Of 2 Consecutive Bars Is Above 50 K for BN & 125 K For Nifty
▪ All the Indicators (Parabolic SAR, Super Trend, VMA, VWAP) Above The Candles
▪ When the above conditions are met enter In 3rd Candle, With 1st Candle High As SL
The indicator checks the above and notifies to enter a long trade and short trade respectively. There is also volume cutoff and change in the volumes respectively, also non-trading times that can be set.
