bfcp2018This strategy is the perfect balance of controlling the profitable accuracy and the times of trading. This version of the script has been written to reduce repaint and delay.
Works on any time frame. Kindly adjust the strategy settings for each single market.
This strategy is published for invited users. Only the customers will be granted access.
Search in scripts for "the script"
Bollinger Bands Strategy LingsbordIndicator made by the idea provided by Lingsbord from the forum Binary Options Edge.
Features Implemented from Original Idea
Trade Sessions 0410-0815 and 0930-1200 (for some reason pinescript works off UTC-4?, London is UTC+1)
Indicator only signals when bar is inside trade sessions.
Background is shaded when Trade session is active.
Indicator Draws Arrows when a bar closes outside of 2.5 bollinger band.
Trade is executed at the opening of the next bar and recorded in the strategy tester.
Modifications to Original Idea
This Strategy has been modified to include his "Anti-Breakout Protection) where it will only place 2 consecutive losing trades in the event of consecutive bar closing outside of the bollingerbands.
www.binaryoptionsedge.com
In the Event of the first trade ending ITM and the next bar closing back inside the Bollinger bands then the next bar going back outside, the script will trigger another trade signal.
Allows for consecutive wins in an uptrend but still limiting to 2 losses as per modification above
Excel Spread sheet tracking profits
$1887.04 from Monday 17-09-2018 to Friday 21-09-2018
i.imgur.com
www.binaryoptionsedge.com
Step 1.
I have an FXCM demo account running Metatrader 4 and a 1 min EURUSD chart open.
This chart has 1 indicator on it, Bollinger Bands with settings 20 and 2.5.
I found that deviation of 2 creates too many false signals and deviation of 3 means you’ll be lucky to see more than 3 trades per day.
I settled on 1 minute for the number of trades it offers during an average day and because the 5 minute offers no better ITM rate.
I also have the Market Watch window open on the metatrader but I reduce the size of the box down so I can only see the EURUSD rate and the clock.
It’s this clock that I use as my “countdown trigger”.
Step 2.
-Redacted- (Affilliate marketing bullshit) -Redacted-
Step 3.
OK as you will have seen elsewhere on the BOE Boards,
the trading strategy is simply to take a trade in the opposite direction when a candle closes outside the Bollinger Bands,
so if it closes out of the top band I enter a Put, and if it closes below the bottom band I enter a Call.
As the Market Watch clock gets into the 50s on the seconds and if a trade appears to be lining up,
I’ll hover over the Put/Call button and closely watch the clock and the chart so I can nail the trade the moment the candle closes.
Expiry is 1 minute.
Trading times
I avoid the period prior to London Open as there’s often a series of trades in the same (wrong) direction as the market gears itself up for the day,
so I’ll normally look for the first trade from 09:10 UK time and I’ll then trade until about 13:15,
picking up again around 14:30 after NYC Open to avoid another rush around that time and to give me a chance to enjoy some lunch without worrying about trading!
For those of you trading Asian markets I’d avoid the “dead zone” and trade from about 02:00 onwards (again, UK time) when there might be enough movement to be able to make sense of this strategy.
Trade sizes
My first trade is $100. If this trade ends ITM I make $82 and look for the next one, again at the starting level of $100
If the first trade ends OTM then my second trade on the next signal is $320. If this trade ends ITM I make $262 which recovers the original $100,
also creates the original $82 of profit that the first trade would have made, and then makes a further $80.
Again your next trade is at the starting level of $100
If the second trade ends OTM then the third trade is $512.
If this trade ends ITM then it recovers the original $100 and the $320 but there’s no profit,
we’ve just recovered the losses and we move on with the next trade at $100
If the third trade ends OTM we REPEAT the $512 trade. If this trade ends ITM we generate $420 towards recovering part of the losses made in the other trades.
These 1-4 trade sequences we call “events”.
Most events will be only 1 or 2 trades,
i.e. you will be making consistent strong returns most of the time.
When an event consists of 3 consecutive trades you will break even on that event and look for the next trade
When an event consists of 4 trades where the 4th one ends ITM you will subsidise your loss on the previous 3.
Some people can’t face the concept of a trade that doesn’t generate profit,
but believe me I’ve run so many examples that this structure works best in terms of risk/reward over time.
When an event consists of 4 trades and the 4th one ends OTM you will take a “hit”.
Based on the above numbers the hit will cost you $1,444 at this level.
When this happens you set the platform back to $100 and start again.
bp2000 strategyThis strategy is the perfect balance of controlling the profitable accuracy and the times of trading. This version of the script has been written to reduce repaint and delay.
Works on any time frame. Kindly adjust the strategy settings for each single market.
This strategy is published for invited users. Only the customers will be granted access.
RAGNAROK MK IIRagnarok MK II the second gen of Sniper V7. A trend market indicator which confirms the sentiments of the traders where it is heading; such as a possible reversal, exit and entry indication. For those who are interested you can try Sniper v7 for free; Just favorite the script so you can use it into your chart. Feel free to dm me for questions and suggestions. :)
You can check down below about the Sniper V7 for the successful trade using the indicator
EXAMPLE OF SNIPER V7
SANUSD 2H
EOS 4H
ETHUSD 2H
SD_Bull_Bear_Engulfing_Rsi_SdThis strategy combines the idea of a bullish or bearish candle engulfing coupled with standard deviation (a 100% increase or a 50% decrease). The exit condition is placed if the percentage increase is achieved or 35<rsi<65.
The strategy requires refinement so please test the script and let know what can be incorporated to improve the efficiency.
BB/StochRSI Strategy Backtest For Crypto BotThumbs Up for access
Buy is triggered when the price reaches chosen percent of lower Bollinger Band, Stoch RSI is oversold and there's a K/D signal crossover. The exit is when StochRSI is Overbought or K/D Crossover (toggle) AND/OR (toggle) price is greater than or equal to Top or Mid Bollinger Band (toggle).
Use 15m charts. It works excellent for consolidating/sideways markets and good for bullish impulsive moves but takes losses during impulsive downside market moves.
Results will be better in real-time. The script calculates the price based on the close, but a bot would calculate in real-time. Entries would be better. I recommend manually testing the strategy by using the "Date and Price Range" tool in TradingView.
I'll share the source code to those who wish to collaborate for improving profitability.
[LAVA] Volume StratA volume strategy indicator based off the size of the individual volume candles. Backtest to figure out which method works the best for your chart. A higher Profit Factor is what you want to look for since you want to trade less with better results for an overall lower commissioning fee.
Also, please contact me if there is any other indicator you would be interested in seeing as a strategy. I can do them all.
Please send your donation to any of the following addresses. Don't forget to add your TV name to the message when donating so that I can unlock the script for you. You can also send me a pm with your donation amount.
BTC: 1EabcghxBLZmGKHmKEP9W6S5ZSKeG4wLFA
BCH: 1M4QS5HE82Mk17ghKhaDeaXinL9CkLnhhR
LTC: LYaGjVAXGSLgTNiH7FbceP7ny4F4U8KWyN
ETH: 0x836ced779a10975248f847cad033c405a639b565
DASH: XhQexkwQUyDbvX4Xw78FHnxPvEsyRJYFqv
Click here for more information on these various cryptocurrencies listed above and others.
[LAVA] OBV stratAn OBV strategy indicator. Included is a method to show the RSI or Oscillator value. Backtest to figure out which method works the best for your chart. A higher Profit Factor is what you want to look for since you want to trade less with better results for an overall lower commissioning fee.
Also, please contact me if there is any other indicator you would be interested in seeing as a strategy. I can do them all.
Please send your donation to any of the following addresses. Don't forget to add your TV name to the message when donating so that I can unlock the script for you. You can also send me a pm with your donation amount.
BTC: 1EabcghxBLZmGKHmKEP9W6S5ZSKeG4wLFA
BCH: 1M4QS5HE82Mk17ghKhaDeaXinL9CkLnhhR
ETH: 0x836ced779a10975248f847cad033c405a639b565
DASH: XhQexkwQUyDbvX4Xw78FHnxPvEsyRJYFqv
Click here for more information on these various cryptocurrencies listed above and others.
Open Close Cross Strategy R5 revised by JustUncleLThis revision is an open Public release, with just some minor changes. It is a revision of the Strategy "Open Close Cross Strategy R2" originally published by @JayRogers.
*** USE AT YOUR OWN RISK ***
JayRogers : "There are drawing/painting issues in pinescript when working across resolutions/timeframes that I simply cannot fix here.. I will not be putting any further effort into developing this until such a time when workarounds become available."
NOTE: Re-painting has not been observed with the default set up, nor with Alternate resolution multiplier up to 5.
Description:
Strategy based around Open-Close Moving Average Crossovers optionally from a higher time frame.
Setup:
I have generally found that setting the strategy resolution to 3-5x that of the chart you are viewing tends to yield the best results, regardless of which MA option you may choose (if any) BUT can cause a lot of false positives - be aware of this. JustUncleL: using one of the Smoothed MA helps reduce false positives.
Don't aim for perfection. Just aim to get a reasonably snug fit with the O-C band, with good runs of green and red. JustUncleL: using SMMA (8 to 10) gives a good fit.
Option to either use basic open and close series data, or pick your poison with a wide array of MA types.
Optional Stop Loss and Target Profit for damage mitigation if desired (can be toggled on/off)
Positions get taken automatically following a crossover - which is why it's better to set the resolution of the script greater than that of your chart, so that the trades get taken sooner rather than later.
If you make use of the stops/target profit, be sure to take your time tweaking the values. Cutting it too fine will cost you profits but keep you safer, while letting them loose could lead to more draw down than you can handle.
Revsion R5 Changes by JustUncleL
Corrected cross over calculations, sometimes gave false signals.
Corrected Alternate Time calculation to allow for Daily,Weekly and Monthly charts.
Open Public release.
Revision R4 By JustUncleL
Change the way the Alternate resolution in selected, use a Multiplier of the base Time Frame instead, this makes it easy to switch between base time frames.
Added TMA and SSMA moving average options. But DEMA is still giving the best results.
Using "calc_on_every_tick=false" ensures results between back testing and real time are similar.
Added Option to Disable the coloring of the bars.
Updated default settings.
R3 Changes by JustUncleL:
Returned a simplified version of the open/close channel, it shows strength of current trend.
Added Target Profit Option.
Added option to reduce the number of historical bars, overcomes the too many trades limit error.
Simplified the strategy code.
Removed Trailing Stop option, not required and in my option does not work well in Trading View, it also gives false and unrealistic performance results in back testing.
R2 Changes by @JayRogers:
Simplified and cleaned up plotting, now just shows a Moving Average derived from the average of open/close.
Tried very hard to alleviate painting issues caused by referencing alternate resolution.
HullMA cross StrategyFrom Indicator420 by SeaSide420 HULL MOVING AVERAGE CROSS & CANDLE CROSS
Hull Moving Average (HMA) formula
Integer(SquareRoot(Period)) WMA (2 x Integer(Period/2) WMA(Price) - Period WMA(Price))
Solving the problem of lag requires an explanation with numbers rather than charts. Consider a series of 10 numbers from '0' to '9' inclusive and imagine that they are successive price points on a chart with 9 being the most recent price point at the right hand leading edge.
If we take the 10 period simple average of these numbers then, not surprisingly, we will determine the midpoint of 4.5 which significantly lags behind the most recent price point of 9. Here's the clever bit, first let's halve the period of the average to 5 and apply it to the most recent numbers of 5, 6, 7, 8 and 9, the result being the midpoint of 7.
To remove the lag we take the midpoint of 7 and add the difference between the two averages which equals 2.5 (7 - 4.5). This gives a final answer of 9.5 (7 + 2.5) which is a slight overcompensation. But this overcompensation is very handy because it offsets the lagging effect of the nested averaging.
Hence the result of combining these 2 techniques is a near perfect balance between lag reduction and curve smoothing. The HMA manages to keep up with rapid changes in price activity whilst having superior smoothing over an SMA of the same period.
The HMA employs weighted moving averages and dampens the smoothing effect (and resulting lag) by using the square root of the period instead of the actual period itself.
There are 3 HullMAs in the script, one runs on current price, and others on previous candle prices, when they cross over, is the entry signal.
The strategy also includes a candle cross condition for entry:
(if current price greater than previous candle value (Open+High+Low+Close)/4) then BUY
(if current price less than previous candle value (Open+High+Low+Close)/4) then SELL
in total 4 crossover conditions must be met to initiate a signal.
Buy/Sell Alpha Signal✅ High Accuracy: Signals are generated using advanced algorithmic conditions to minimize false entries.
✅ Clear Visual Alerts: Buy and sell signals appear as distinct markers directly on your chart.
✅ Invite-Only Access: The script is fully protected — source code is private and can only be accessed by contacting me.
✅ Easy to Use: Apply it directly to your charts without adjusting complex settings.
Institution Accumulation/DistributionLeveraging the Williams%R oscillator, the script has been optimized to pick out key turning point in the market specifically at Resistance (Overbought) or Support (Oversold)
The algo has been programmed to print both buy and sell alerts at extremes/when conditions flip eg a long position will be closed simultaneously opening a short position above resistance.
Best used as a scalping tool targeting 30m and below works well with currency pairs
Matrix Trading Strategy**Matrix Trading Strategy** is a multi-signal framework designed to identify and exploit intraday trends with controlled precision. It combines three independent entry engines—Opening Range Breakout (ORB), Ultimate Trend via ATR trailing, and a moving average crossover (MA Cross)—which can operate alone or in any combination, offering traders maximum flexibility.
Risk management is fully parameterizable: position sizing by percent of equity, fixed cash amount, or fixed quantity; SL/TP in pips aligned to the instrument’s tick size (`pipSize`); automatic break-even; ATR-based trailing stop (with an option to anchor to the UT line itself); and configurable partial exits (TP1/TP2). Daily trade limits, entry cooldowns, and forced end-of-session liquidation enforce strict discipline.
Visually, the script plots EMAs, a 1-minute VWAP, ORB levels, the UT trailing line, and signal markers, and it colors candles by RSI for rapid momentum assessment. Ready-to-use alerts for ORB, UT, and MA signals support seamless automation via webhooks.
All together, Matrix Trading is a modular framework that adapts effortlessly to cryptocurrencies, metals, or global indices, delivering realistic executions and transparent metrics in both backtests and live trading.
24/7 Dynamic Scalper - Session + ATR Filters24/7 Dynamic Scalper — Session + ATR Filters
The only scalping strategy you’ll need for non-stop, high-precision trading — engineered for automation and hands-off profits!
Session Filtering: Trade only during the hottest market hours (Asia Open & EU Session) — fully automatic.
ATR Stability & Dynamic Risk: Filters out chop and volatility spikes for cleaner, higher-probability entries.
Momentum & Exhaustion Protection: Built-in RSI & MACD logic blocks overbought/oversold traps and weak signals.
Time-in-Trade Auto-Exit: No more stale trades — get capped exposure for every position.
Auto Alerts: Sends structured, ready-to-automate alerts (BUY/SELL/EXIT) — perfect for webhook and bot traders.
Optional Volume/TP Filters: Toggle volume spikes, dynamic ATR-based TP, and even “big candle” protection.
Fully Customizable: Fine-tune everything from leverage to max stop loss (in USDT), bar/range filters, and much more.
Best for: Fast scalpers, algo traders, automation junkies, and anyone who wants a robust, hands-off approach to perpetual futures.
👇 How it Works (Feature Breakdown):
Session Filters: Restricts signals to the highest liquidity hours (Asia/EU), or trade 24/7 — your choice!
ATR + Range Filters: Ensures every entry has real volatility and avoids dangerous chop.
Momentum Logic: Combines EMA, MACD slope, and RSI direction to hunt for real breakouts only.
Exhaustion Safeguards: Avoids classic scalp reversals by blocking overbought/oversold and exhausted MACD/RSI momentum.
Drawdown Defense: Detects “big candle” traps, ATR surges, and lets you cap stop-loss by percent or by max USDT.
Hands-Off Management: All exits (TP/SL/trailing) are managed by your backend/bot via structured alerts — the script keeps charts clean and exits only by time cap (so no backend/strategy overlap).
Ready for Webhook Automation: Clean JSON alerts for BUY, SELL, and CLOSE — drop them straight into your bot for instant auto-trading.
No repaint, no nonsense — just cold, fast, high-frequency scalping with robust, smart filters.
🚀 Plug, Play, Automate.
Copy to your chart, tweak your session/ATR/settings, and wire up your alert to your favorite webhook bot.
Perfect for Bybit, MEXC, Binance, and anywhere you can automate.
EMA and Dow Theory Strategies🌐 Strategy Description
📘 Overview
This is a hybrid strategy that combines EMA crossovers, Dow Theory swing logic, and multi-timeframe trend overlays. It is suitable for intraday to short-term trading on any asset class: crypto, forex, stocks, and indices.
The strategy provides precise entry/exit signals, dynamic stop-loss and scale-out, and highly visual trade guidance.
🧠 Key Features
・Dual EMA crossover system (applied to both symbol and external index)
・Dow Theory-based swing high/low detection for trend confirmation
・Visual overlay of higher timeframe swing trend (htfTrend)
・RSI filter to avoid overbought/oversold entries
・Dynamic partial take-profit when trend weakens
・Custom stop-loss (%) control
・Visualized trade PnL labels directly on chart
・Alerts for entry, stop-loss, partial exit
・Gradient background zones for swing zones and trend visualization
・Auto-tracked metrics: APR, drawdown, win rate, equity curve
⚙️ Input Parameters
| Parameter | Description |
| ------------------------- | -------------------------------------------------------- |
| Fast EMA / Slow EMA | Periods for detecting local trend via EMAs |
| Index Fast EMA / Slow EMA | EMAs applied to external reference index |
| StopLoss | Maximum loss threshold in % |
| ScaleOut Threshold | Scale-out percentage when trend changes color |
| RSI Period / Levels | RSI period and overbought/oversold levels |
| Swing Detection Length | Number of bars used to detect swing highs/lows |
| Stats Display Options | Toggle PnL labels and position of statistics table |
🧭 About htfTrend (Higher Timeframe Trend)
The script includes a higher timeframe trend (htfTrend) calculated using Dow Theory (pivot highs/lows).
This trend is only used for visual guidance, not for actual entry conditions.
Why? Strictly filtering trades by higher timeframe often leads to missed opportunities and low frequency.
By keeping htfTrend visual-only, traders can still refer to macro structure but retain trade flexibility.
Use it as a contextual tool, not a constraint.
ストラテジー説明
📘 概要
本ストラテジーは、EMAクロスオーバー、ダウ理論によるスイング判定、**上位足トレンドの視覚表示（htfTrend）**を組み合わせた複合型の短期トレーディング戦略です。
仮想通貨・FX・株式・指数など幅広いアセットに対応し、デイトレード〜スキャルピング用途に適しています。
動的な利確/損切り、視覚的にわかりやすいエントリー/イグジット、統計表示を搭載しています。
🧠 主な機能
・対象銘柄＋外部インデックスのEMAクロスによるトレンド判定
・ダウ理論に基づいたスイング高値・安値検出とトレンド判断
・上位足スイングトレンド（htfTrend）の視覚表示
・RSIフィルターによる過熱・売られすぎの回避
・トレンドの弱まりに応じた部分利確（スケールアウト）
・**損切り閾値（％）**をカスタマイズ可能
・チャート上に損益ラベル表示
・アラート完備（エントリー・決済・部分利確）
・トレンドゾーンを可視化する背景グラデーション
・勝率・ドローダウン・APR・資産増加率などの自動表示
| 設定項目名 | 説明内容 |
| --------------------- | -------------------------- |
| Fast EMA / Slow EMA | 銘柄に対して使用するEMAの期間設定 |
| Index Fast / Slow EMA | 外部インデックスのEMA設定 |
| 損切り（StopLoss） | 損切りラインのしきい値（%で指定） |
| 部分利確しきい値 | トレンド弱化時にスケールアウトする割合（%） |
| RSI期間・水準 | RSI計算期間と、過熱・売られすぎレベル設定 |
| スイング検出期間 | スイング高値・安値の検出に使用するバー数 |
| 統計表示の切り替え | 損益ラベルや統計テーブルの表示／非表示選択 |
🧭 上位足トレンド（htfTrend）について
本スクリプトには、上位足でのスイング高値・安値の更新に基づく**htfTrend（トレンド判定）が含まれています。
これは視覚的な参考情報であり、エントリーやイグジットには直接使用されていません。**
その理由は、上位足を厳密にロジックに組み込むと、トレード機会の損失が増えるためです。
このスクリプトでは、**判断の補助材料として「表示のみに留める」**設計を採用しています。
→ 裁量で「利確を早める」「逆張りを避ける」判断に活用可能です。
Scalping 15min: EMA + MACD + RSI + ATR-based SL/TP📈 Strategy: 15-Minute Scalping — EMA + MACD + RSI + ATR-based SL/TP
This scalping strategy is designed for 15-minute charts and combines trend-following and momentum confirmation with dynamic stop loss and take profit levels based on volatility.
🔧 Indicators Used:
EMA 50 — identifies the main trend
MACD Histogram — confirms momentum direction
RSI (14) — filters overbought/oversold conditions
ATR (14) — dynamically sets SL and TP based on market volatility
📊 Entry Conditions:
Long Entry:
Price is above EMA 50
MACD histogram is positive
RSI is above 50 but below 70
Short Entry:
Price is below EMA 50
MACD histogram is negative
RSI is below 50 but above 30
🛑 Risk Management:
Stop Loss: 1×ATR (user-configurable)
Take Profit: 2×ATR (user-configurable)
These values can be adjusted in the script inputs depending on your risk/reward preference or market conditions.
⚠️ Notes:
Strategy is optimized for scalping fast-moving pairs (e.g. crypto, forex).
Works best in trending markets.
Use backtesting and forward testing before live trading.
SIMPLE LIMIT ORDER STRAT vSEAPHOSS
I'm in the process of refining a promising strategy and could use some help to optimize its potential. P&L is great, the various ratios have revealed opportunities to minimize the downside. I've kept the script private for now, prioritizing its enhancement first. If you're interested in collaborating and offering some insights, kindly send me a direct message.
MA cross strategyI created an sma (10/30) strategy.
The script is under construction and can be changed, since i'm looking for a more profitable strategy.
If you have ideas to make it more profitable, please comment.
It is possible to change everything to your own needs.
Donchian Breakout no repaintdonchian breakout strategy which i revise the script for no repaint signal
Companion::InsurgentCompanion::Insurgent is a combined indicators strategy. Performances are pretty good on 1D, 4H and 1H timeframes and it can be used on Bitcoin and Altcoin markets.
Mainly, it is a trategy based on Ehlers formulas.
Used indicators:
- Ehlers Instantaneous Trend: trendline analysis;
- Ehlers Super Bandpass Filter: momentum detection;
- EMA: Long/Short time selector.
What the script does:
- determines trendlines combining mulitple indicators;
- automaticlally calculates Take profit and Stop Loss levels;
- permits automation generating Autoview signals (create an alert with {{strategy.order.alert_message}} in message text field to trap Autoview commands;
- supports for margin trading. Spot trading will be added in the future.
BACKTESTING
Backtest is not leveraged. Defaults are set as follow:
Capital: 10000
Percent of equity used for trades: 10%
Commission: 0.18% this is Bitfinex commission on orders
Change them accordingly on how you trade to get a more realistic backtest results.
Donchian Strat EXMOThis is simple test of Turtle Trading strategy by Richard Dennis. The script meant to place orders on Donchian Channel borders. It's best to test and use on mid-term charts like 1H and more.
I've chosen Kraken XBT/USDT chart because this market opened in december 2019. The main problem of crypto trading strategy testing is the bullish market of 2017 year. That enormous growth gives unrealisting expectations to all trend-following strategies tested.
Crude Oil Indicator [SIDD]Crude Oil Indicator is giving two signal Bullish and Bearish . Bullish signal is used to take long trade and Bearish signal is used to close existing long trade and take new short trade and so on.
To get More signal of Bullish and Bearish user must enable More Signals check box that will check crossover and cross down of price close with Gaps.
I am using 2 ATR and one ADX and Gaps and VWMA to make signal profitable with 15 minutes 1 hr ,2hr,3hr,4hr chart time frame.
I have checked last few years data for back testing. Based on past performance it doesn't work well in 30 minute and 1 day chart time frame as results are not good in back testing. I have designed this indicator for Indian crude oil context though it can be used with other market as well.
1st ATR used to find trend with price crossover.
2nd ATR ADX is used to find the trend change details only. I have taken VWMA and ATR both to consider trend change.
Highlight Gap Up and Gap Down is used to know daily market opening gap up and gap down area. Gaps act as support and resistance .
VWMA Plotted as Blue line. Rising VWMA considered as uptrend and falling VWMA considered as downtrend.
Flat VWMA considered as no trend zone. In no trend zone every second third candles cross VWMA .
User must keep the default setting for getting better results as results are back tested. If setting changed then result may vary.
I have added here back tested performance user can see those results. I have added commission and slippage as well. Past year performance not guarantee for future years result so before taking any trade trader must take conscious decision.
This indicator is available on Subscription.
PM/ DM for more information about the script access.
Use the link below to obtain access to this indicator.
Banknifty-Direction-Bank-StocksBanknifty Direction Bank Stocks is indicator to give Banknifty future direction.
This Indicator is giving signal by taking 11 Major Indian Bank trend into consideration.
This indicator is giving two signal Bullish and Bearish .
Bullish signal can be used for long Banknifty and Bearish signal can be used to close existing Banknifty position and make new short side position and again when Bullish signal come then close existing short position and take new long position and so on.
There is zone area green zone and red zone and central line. Green zone is Bullish area and Red zone is Bearish area.
When ever green line cross over red line then Bullish signal generated and when ever green line cross under red line Bearish Signal generated.
Strong Bullish when Crossover is happening above central line and Strong Bearish when Cross under is happening below central line.
Many Thanks to LazyBear main author, I have used his wave trend function and modified that as per Banknifty index so that we can get better result.
User must keep the default setting for getting better results as results are back tested. If setting changed then result may vary.
I have added here back tested performance user can see those results. I have added commission and slippage as well.
This indicator is available on Subscription.
PM/DM for more information about the script access.
Use the link below to obtain access to this indicator
