Yesterday's High v.17.07Yesterday’s High Breakout it is a trading system based on the analysis of yesterday's highs, it works in trend-following mode therefore it opens a long position at the breakout of yesterday's highs even if they occur several times in one day.
There are several methods for exiting a trade, each with its own unique strategy. The first method involves setting Take-Profit and Stop-Loss percentages, while the second utilizes a trailing-stop with a specified offset value. The third method calls for a conditional exit when the candle closes below a reference EMA.
Additionally, operational filters can be applied based on the volatility of the currency pair, such as calculating the percentage change from the opening or incorporating a gap to the previous day's high levels. These filters help to anticipate or delay entry into the market, mitigating the risk of false breakouts.
In the specific case of INJ, a 12% Take-Profit and a 1.5% Stop-Loss were set, with an activated trailing-stop percentage, TRL 1 and OFF 0.5.
To postpone entry and avoid false breakouts, a 1% gap was added to the price of yesterday's highs.
Name: Yesterday's High Breakout - Trend Follower Strategy
Author: @tumiza999
Category: Trend Follower, Breakout of Yesterday's High.
Operating mode: Spot or Futures (only long).
Trade duration: Intraday.
Timeframe: 30M, 1H, 2H, 4H
Market: Crypto
Suggested usage: Short-term trading, when the market is in trend and it is showing high volatility.
Entry: When there is a breakout of Yesterday's High.
Exit: Profit target or Trailing stop, Stop loss or Crossunder EMA.
Configuration:
- Gap to anticipate or postpone the entry before or after the identified level
- Rate of Change for Entry Condition
- Take Profit, Stop Loss and Trailing Stop
- EMA length
Backtesting:
⁃ Exchange: BINANCE
⁃ Pair: INJUSDT
⁃ Timeframe: 4H
- Treshold: 1
- Gap%: 1
- SL: 1.5
- TP:12
- TRL: 1
- OFF-TRL: 0.5
⁃ Fee: 0.075%
⁃ Slippage: 1
- Initial Capital: 10000 USDT
- Position sizing: 10% of Equity
- Start : 2018-07-26 (Out Of Sample from 2022-12-23)
- Bar magnifier: on
Credits: LucF for Pine Coders (f_security function to avoid repainting using security)
Disclaimer: Risk Management is crucial, so adjust stop loss to your comfort level. A tight stop loss can help minimise potential losses. Use at your own risk.
How you or we can improve? Source code is open so share your ideas!
Leave a comment and smash the boost button!
Thanks for your attention, happy to support the TradingView community.
在腳本中搜尋"entry"
Limit Order + ATR Stop-Loss [TANHEF]This indicator enables interactive placement of limit or stop-limit orders with a trailing ATR stop-loss and optional profit target (with alerts). Refer to the images below for further clarification.
Why use a trailing stop-loss?
A trailing stop-loss serves as an exit strategy when price moves against you, while also allowing you to adjust the exit point further into profit when price moves favorably. The ATR (Average True Range), a reliable measure of volatility, acts as an effective risk management tool, functioning as a trailing stop-loss.
Indicator Explanation
Initial indicator placement: Select Long Limit or Long-Stop Limit order.
Change Entry Type: Switch between Long and Short within settings.
Modify entry price: Drag circle, adjust in settings, or re-add indicator to chart.
Optional Profit Target: Use Risk/Reward ratio or specify price.
Entry anticipation: Estimated ATR stop-loss and profit target as blue circles (fluctuates with volatility changes).
Entry triggered: Actual ATR stop-loss and profit target plotted.
Exit conditions: Stop-loss or profit target hit, exit entry.
Update Frequency: Continuously, Bar Open, or Bar Open on entry then continuously.
ATR Overlap: no entry occurs if the ATR overlaps with price (stop-loss 'hit' already on entry bar)
Table: Displays input settings selected.
Show Only On Ticker: Ability to hide indicator on other tickers.
Long Limit
Long Stop-Limit
Short Limit
Short Stop-Limit
Alerts
1. 'Check' alerts to use within indicator settings (entry, trailing stop hit, profit target hit, and failed entry).
2. Select 'Create Alert'
3. Set the condition to 'Limit Order + ATR Stop-Loss''
4. Select create.
Additional details can be added to the alert message using these words in between Curly (Brace) Brackets:
{{trail}} = ATR trailing stop-loss (price)
{{target}} = Price target (price)
{{type}} = Long or Short stop-loss (word)
{{traildistance}} = Trailing Distance (%)
{{targetdistance}} = Target Distance (%)
{{starttime}} = Start time of position (day:hr:min)
{{maxdrawdown}} = max loss
{{maxprofit}} = max profit
{{update}} = stoploss update frequency
{{entrysource}} = entry as 1st bar source (yes/no)
{{triggerentry}} = Wick/Close Trigger entry input
{{triggerexit}} = Wick/Close Trigger exit input
{{triggertarget}} = Wick/Close Trigger target input
{{atrlength}} = ATR length input
{{atrmultiplier}} = ATR multiplier input
{{atrtype}} = ATR type input
{{ticker}} = Ticker of chart (word)
{{exchange}} = Exchange of chart (word)
{{description}} = Description of ticker (words)
{{close}} = Bar close (price)
{{open}} = Bar open (price)
{{high}} = Bar high (price)
{{low}} = Bar low (price)
{{hl2}} = Bar HL2 (price)
{{volume}} = Bar volume (value)
{{time}} = Current time (day:hr:min)
{{interval}} = Chart timeframe
{{newline}} = New line for text
Position_controlLibrary "Position_control"
This is a library for defining positions and working with them.
f_calculateLeverage(_Leverage, _maintenance, _value, _direction)
Calculate the leverage used in a trade.
@description This function calculates the leverage used in a trade, based on the value of the trade, the maintenance margin, and the direction of the trade.
Parameters:
_Leverage (float) : The leverage used in the trade, as a floating point number.
_maintenance (float) : The maintenance margin percentage, as a floating point number.
_value (float) : The value of the trade, as a floating point number.
_direction (string) : The direction of the trade, either "long" or "short".
Returns: The leverage used in the trade, as a floating point number.
f_calculate_PL(_Position, _max_TP, _Position_index, _show_profit, _i_decimals_contracts, _i_decimals_prercent)
Calculate the profit or loss for a given trade.
@description This function calculates the profit or loss for a given trade, based on the position type, maximum take profit, position index, and whether to show the profit as a percentage or a value.
Parameters:
_Position (t_Position_type ) : An array of position types for the trade.
_max_TP (int) : The maximum take profit for the trade, as an integer value.
_Position_index (int) : The index of the position in the array, as an integer value.
_show_profit (bool) : A boolean value indicating whether to show the profit as a percentage or a value.
_i_decimals_contracts (int)
_i_decimals_prercent (int)
Returns: The profit or loss for the trade, as a floating point number.
f_drawposition(_Position, _Parameters, _Position_index)
draws a position on the chart
@description via sending in a typo of Position this function is able to drawout Stoploss, Entrybox, Takeprofits and the required labels with information
Parameters:
_Position (t_Position_type ) : array of type t_Position_type containing the position information.
_Parameters (t_drawing_parameters)
_Position_index (int) : the index of the current position.
Returns: None but boxes / lines / labels on the chart itself
t_TP_Variant
Fields:
TP_Type (series__string)
TP_Parameter_1 (series__integer)
TP_Parameter_2 (series__integer)
TP_Parameter_3 (series__float)
TP_Parameter_4 (series__float)
t_TPs
Fields:
TP_Price (series__float)
TP_Lot (series__float)
TP_Variant (|t_TP_Variant|#OBJ)
TP_Active (series__bool)
t_SLs
Fields:
SL_Price (series__float)
SL_Lot (series__float)
SL_Active (series__bool)
t_Position_type
Fields:
Lot (series__float)
Leverage (series__float)
Maintenance (series__float)
Starttime (series__integer)
Entry_Start (series__float)
Stoptime (series__integer)
Entry_Stop (series__float)
Entryprice (series__float)
TPs (array__|t_TPs|#OBJ)
SLs (array__|t_SLs|#OBJ)
t_drawing_parameters
Fields:
ShowPos (series__bool)
ShowLIQ (series__bool)
A_Colors (array__color)
Prolong_lines (series__bool)
Str_fontsize (series__string)
Textshift (series__integer)
Decimals_contracts (series__integer)
Decimals_price (series__integer)
Decimals_percent (series__integer)
bartime (series__integer)
Zazzamira 50-25-25 Trend System Alerts OnlyPublishing my trading system script. It consist of several conditions to happen in order to open a trade. Work best on ES/MES 5 minute timeframe.
I like to use it with this settings:
- UTC -6 (don't tick Exchange Timezone)
and rest as default
To enter a trade, the following conditions must be met: Entry 1: the opening range (8:30AM - 9:15AM UTC-6) must be defined and the price must close above or below the opening range on the 5-minute timeframe. This entry condition defines the trade direction (above = long / below = short). Once the opening range is defined, the Trend-Based Fib Extension is applied from the range high to the range low (and vice versa). Fib levels are required for Exit conditions. Entry 2: the 8 - 27 - 67 - 97 EMAs must be defined. If the EMAs value order is 8 > 27 > 67 > 97, long-only trades are allowed. If the EMAs value order is 8 < 27 < 67 < 97, short-only trades are allowed. This entry condition filters fake breakouts of Entry 1. Entry 3: no trades are allowed after 12:59 UTC-6 (2PM EST). Entry 4: if Entry 1, Entry 2, and Entry 3 conditions are valid and the price hasn't reached the 23.6% Fib line, an entry order can be set at the range high/long with 4 contracts. To exit a trade, the following conditions must be met: Exit 1 (Stop loss): set a trailing stop based on 2.1x ATR (14) from entry. Exit 2: take 50% profits at the 23.6% Fib and leave trailing stop untouched. Exit 3: if Exit 2 triggers, take 50% (25% of total entry) off at 61.8% Fib, leaving Exit 2 trailing stop values valid. Exit 4: exit the full position at the FIB 100% value. Exit 5: all trades must be closed at 3pm UTC-6 (4PM EST). So basically Take Profit are 50%-25%-25% of position.
Code has been written by © Hiubris_Indicators who has been an amazing coder and gave me the possibility to make this script public so a really big shoutout to him.
This indicator only works for alerts, please check version without alerts to backtest or tweaks. This indicator is meant to be used to automate the system via webhooks
Average HL Range - SATThis indicator dynamically display consolidation range base on three series ( high, low and close). it also display range breakout when a close occurs outside of the range. HeikinAshi and Diffrent Timeframe data can be requested to reduce the noise from the market. All setting are configurable : entryprice, takeprofits, Risk: REward, Dark Mode
Zazzamira 50-25-25 Trend SystemPublishing my trading system script. It consist of several conditions to happen in order to open a trade. Work best on ES/MES 5 minute timeframe.
I like to use it with this settings:
- UTC -6 (don't tick Exchange Timezone)
and rest as default
To enter a trade, the following conditions must be met: Entry 1: the opening range (8:30AM - 9:15AM UTC-6) must be defined and the price must close above or below the opening range on the 5-minute timeframe. This entry condition defines the trade direction (above = long / below = short). Once the opening range is defined, the Trend-Based Fib Extension is applied from the range high to the range low (and vice versa). Fib levels are required for Exit conditions. Entry 2: the 8 - 27 - 67 - 97 EMAs must be defined. If the EMAs value order is 8 > 27 > 67 > 97, long-only trades are allowed. If the EMAs value order is 8 < 27 < 67 < 97, short-only trades are allowed. This entry condition filters fake breakouts of Entry 1. Entry 3: no trades are allowed after 12:59 UTC-6 (2PM EST). Entry 4: if Entry 1, Entry 2, and Entry 3 conditions are valid and the price hasn't reached the 23.6% Fib line, an entry order can be set at the range high/long with 4 contracts. To exit a trade, the following conditions must be met: Exit 1 (Stop loss): set a trailing stop based on 2.1x ATR (14) from entry. Exit 2: take 50% profits at the 23.6% Fib and leave trailing stop untouched. Exit 3: if Exit 2 triggers, take 50% (25% of total entry) off at 61.8% Fib, leaving Exit 2 trailing stop values valid. Exit 4: exit the full position at the FIB 100% value. Exit 5: all trades must be closed at 3pm UTC-6 (4PM EST). So basically Take Profit are 50%-25%-25% of position.
Code has been written by © Hiubris_Indicators who has been an amazing coder and gave me the possibility to make this script public so a really big shoutout to him.
Strategy Myth-Busting #5 - POKI+GTREND+ADX - [MYN]This is part of a new series we are calling "Strategy Myth-Busting" where we take open public manual trading strategies and automate them. The goal is to not only validate the authenticity of the claims but to provide an automated version for traders who wish to trade autonomously.
Our fifth one we are automating is one of the strategies from "The Best 3 Buy And Sell Indicators on Tradingview + Confirmation Indicators ( The Golden Ones ))" from "Online Trading Signals (Scalping Channel)". No formal backtesting was done by them and resuructo messaged me asking if we could validate their claims.
Originally, we mimic verbatim the settings Online Trading Signals was using however weren't getting promising results. So before we stopped there we thought we might want to see if this could be improved on. So we adjusted the Renko Assignment modifier from ATR to Traditional and adjusted the value to be higher from 30 to 47. We also decided to try adding another signal confirmation to eliminate some of the ranged market conditions so we choose our favorite, ADX . Also, given we are using this on a higher time-frame we adjusted the G-Channel Trend detection source from close to OHLC4 to get better average price action indication and more accurate trend direction.
This strategy uses a combination of 2 open-source public indicators:
poki buy and sell Take profit and stop loss by RafaelZioni
G-Channel Trend Detection by jaggedsoft
Trading Rules
15m - 4h timeframe. We saw best results at the recommended 1 hour timeframe.
Long Entry:
When POKI triggers a buy signal
When G-Channel Trend Detection is in an upward trend (Green)
ADX Is above 25
Short Entry:
When POKI triggers a sell signal
When G-Channel Trend Detection is in an downward trend (red)
ADX Is above 25
If you know of or have a strategy you want to see myth-busted or just have an idea for one, please feel free to message me.
[Sniper] SuperTrend + SSL Hybrid + QQE MODHi. I’m DuDu95.
**********************************************************************************
This is the script for the series called "Sniper".
*** What is "Sniper" Series? ***
"Sniper" series is the project that I’m going to start.
In "Sniper" Series, I’m going to "snipe and shoot" the youtuber’s strategy: to find out whether the youtuber’s video about strategy is "true or false".
Specifically, I’m going to do the things below.
1. Implement "Youtuber’s strategy" into pinescript code.
2. Then I will "backtest" and prove whether "the strategy really works" in the specific ticker (e.g. BTCUSDT) for the specific timeframe (e.g. 5m).
3. Based on the backtest result, I will rate and judge whether the youtube video is "true" or "false", and then rate the validity, reliability, robustness, of the strategy. (like a lie detector)
*** What is the purpose of this series? ***
1. To notify whether the strategy really works for the people who watched the youtube video.
2. To find and build my own scalping / day trading strategy that really works.
**********************************************************************************
*** Strategy Description ***
This strategy is from " QQE MOD + supertrend + ssl hybrid" by korean youtuber "코인투데이".
"코인투데이" claimed that this strategy will make you a lot of money in any crypto ticker in 15 minute timeframe.
### Entry Logic
1. Long Entry Logic
- Super Trend Short -> Long
- close > SSL Hybrid baseline upper k
- QQE MOD should be blue
2. Short Entry Logic
- Super Trend Long -> Short
- close < SSL Hybrid baseline lower k
- QQE MOD should be red
### Exit Logic
1. Long Exit Logic
- Super Trend Long -> Short
2. Short Entry Logic
- Super Trend Short -> Long
### StopLoss
1. Can Choose Stop Loss Type: Percent, ATR, Previous Low / High.
2. Can Chosse inputs of each Stop Loss Type.
### Take Profit
1. Can set Risk Reward Ratio for Take Profit.
- To simplify backtest, I erased all other options except RR Ratio.
- You can add Take Profit Logic by adding options in the code.
2. Can set Take Profit Quantity.
### Risk Manangement
1. Can choose whether to use Risk Manangement Logic.
- This controls the Quantity of the Entry.
- e.g. If you want to take 3% risk per trade and stop loss price is 6% below the long entry price,
then 50% of your equity will be used for trade.
2. Can choose How much risk you would take per trade.
### Plot
1. Added Labels to check the data of entry / exit positions.
2. Changed and Added color different from the original one. (green: #02732A, red: #D92332, yellow: #F2E313)
3. SuperTrend and SSL Hybrid Baseline is by default drawn on the chart.
4. If you check EMA filter, EMA would be drawn on the chart.
5. Should add QQE MOD indicator manually if you want to see QQE MOD.
**********************************************************************************
*** Rating: True or False?
### Rating:
→ 3.5 / 5 (0 = Trash, 1 = Bad, 2 = Not Good, 3 = Good, 4 = Great, 5 = Excellent)
### True or False?
→ True but not a 'perfect true'.
→ It did made a small profit on 15 minute timeframe. But it made a profit so it's true.
→ It worked well in longer timeframe. I think super trend works well so I will work on this further.
### Better Option?
→ Use this for Day trading or Swing Trading, not for Scalping. (Bigger Timeframe)
→ Although the result was not good at 15 minute timeframe, it was quite profitable in 1h, 2h, 4h, 8h, 1d timeframe.
→ Crypto like BTC, ETH was ok.
→ The result was better when I use EMA filter.
### Robust?
→ Yes. Although result was super bad in 5m timeframe, backtest result was "consistently" profitable on longer timeframe (when timeframe was bigger than 15m, it was profitable).
→ Also, MDD was good under risk management option on.
**********************************************************************************
*** Conclusion?
→ I recommend you not to use this on short timeframe as the youtuber first mentioned.
→ In my opinion, I can use on longer timeframe like 2h or bigger with EMA filter, stoploss and risk management.
[Sniper] SSL Hybrid + QQE MOD + Waddah Attar StrategyHi. I’m DuDu95.
**********************************************************************************
This is the script for the series called "Sniper".
*** What is "Sniper" Series? ***
"Sniper" series is the project that I’m going to start.
In "Sniper" Series, I’m going to "snipe and shoot" the youtuber’s strategy: to find out whether the youtuber’s video about strategy is "true or false".
Specifically, I’m going to do the things below.
1. Implement "Youtuber’s strategy" into pinescript code.
2. Then I will "backtest" and prove whether "the strategy really works" in the specific ticker (e.g. BTCUSDT) for the specific timeframe (e.g. 5m).
3. Based on the backtest result, I will rate and judge whether the youtube video is "true" or "false", and then rate the validity, reliability, robustness, of the strategy. (like a lie detector)
*** What is the purpose of this series? ***
1. To notify whether the strategy really works for the people who watched the youtube video.
2. To find and build my own scalping / day trading strategy that really works.
**********************************************************************************
*** Strategy Description ***
This strategy is from "SSL QQE MOD 5MIN SCALPING STRATEGY" by youtuber "Daily Investments".
"Daily Investments" claimed that this strategy will make you some money from 100 trades in any ticker in 5 minute timeframe.
### Entry Logic
1. Long Entry Logic
- close > SSL Hybrid Baseline.
- QQE MOD should turn into blue color.
- Waddah Attar Explosion indicator must be green.
2. Short Entry Logic
- close < SSL Hybrid Baseline
- QQE MOD should turn into red color.
- Waddah Attar Explosion indicator must be red.
### Exit Logic
1. Long Exit Logic
- When QQE MOD turn into red color.
2. Short Entry Logic
- When QQE MOD turn into blue color.
### StopLoss
1. Can Choose Stop Loss Type: Percent, ATR, Previous Low / High.
2. Can Chosse inputs of each Stop Loss Type.
### Take Profit
1. Can set Risk Reward Ratio for Take Profit.
- To simplify backtest, I erased all other options except RR Ratio.
- You can add Take Profit Logic by adding options in the code.
2. Can set Take Profit Quantity.
### Risk Manangement
1. Can choose whether to use Risk Manangement Logic.
- This controls the Quantity of the Entry.
- e.g. If you want to take 3% risk per trade and stop loss price is 6% below the long entry price,
then 50% of your equity will be used for trade.
2. Can choose How much risk you would take per trade.
### Plot
1. Added Labels to check the data of entry / exit positions.
2. Changed and Added color different from the original one. (green: #02732A, red: #D92332, yellow: #F2E313)
3. SSL Hybrid Baseline is by default drawn on the chart.
4. If you check EMA filter, EMA would be drawn on the chart.
5. Should add QQE MOD and Waddah Attar Explosion indicator manually if you want to see QQE MOD.
**********************************************************************************
*** Rating: True or False?
### Rating:
→ 1.5 / 5 (0 = Trash, 1 = Bad, 2 = Not Good, 3 = Good, 4 = Great, 5 = Excellent)
### True or False?
→ False
→ Doesn't Work on 5 minute timeframe. Also, it doesn't work on crypto.
### Better Option?
→ Use this for Day trading or Swing Trading, not for Scalping. (Bigger Timeframe)
→ Although the result was bad at 5 minute timeframe, it was profitable in 1h, 2h, 4h, 8h, 1d timeframe.
→ BTC, ETH was ok.
→ The result was better when I use EMA filter (only on longer timeframe).
### Robust?
→ So So. Although result was bad in short timeframe (e.g. 30m 15m 5m), backtest result was "consistently" profitable on longer timeframe.
→ Also, MDD was not that bad under risk management option on.
**********************************************************************************
*** Conclusion?
→ Don't use this on short timeframe.
→ Better use on longer timeframe with filter, stoploss and risk management.
[DuDu95] SSL 4C MACD Laugerre RSI StrategyHello Guys! Nice to meet you all!
Before I start, my nickname has changed to 'DuDu95'!!
This is the Strategy introduced by youtube channel.
I made this based on the open source indicator by kevinmck100, vkno422, KivancOzbilgic. Thank you All!
### Entry Logic
1. Long Entry Logic
- close > SSL Hybrid baseline upper k (keltner channel)
- macd signal > 0 and current MACD value > previous MACD value
- Laguerre RSI < overbought Line.
2. short Entry Logic
- close < SSL Hybrid baseline lower k (keltner channel)
- macd signal < 0 and current MACD value < previous MACD value
- Laguerre RSI > overbought Line.
### Exit Logic
1. Long Exit Logic
- close < SSL Hybrid baseline lower k (keltner channel)
- macd signal < 0
2. short Entry Logic
- close > SSL Hybrid baseline upper k (keltner channel)
- macd signal > 0
### StopLoss
1. Can Choose Stop Loss Type: Percent, ATR, Previous Low / High.
2. Can Chosse inputs of each Stop Loss Type.
### Take Profit
1. Can set Risk Reward Ratio for Take Profit.
- To simplify backtest, I erased all other options except RR Ratio.
- You can add Take Profit Logic by adding options in the code.
2. Can set Take Profit Quantity.
### Risk Manangement
1. Can choose whether to use Risk Manangement Logic.
- This controls the Quantity of the Entry.
- e.g. If you want to take 3% risk per trade and stop loss price is 6% below the long entry price,
then 50% of your equity will be used for trade.
2. Can choose How much risk you would take per trade.
### Plot
1. Added Labels to check the data of entry / exit positions.
2. Changed and Added color different from the original one. (green: #02732A, red: #D92332, yellow: #F2E313)
Strategy Myth-Busting #6 - PSAR+MA+SQZMOM+HVI - [MYN]This is part of a new series we are calling "Strategy Myth-Busting" where we take open public manual trading strategies and automate them. The goal is to not only validate the authenticity of the claims but to provide an automated version for traders who wish to trade autonomously.
Our sixth one we are automating is " I Tested ''7% Profit Per Day" Scalping Strategy 100 Times ( Unexpected Results ) " from " TradeIQ " which claims to have made 175% profit on the 5 min chart of BTCUSD with a having a 61% win rate in just 32 days.
Originally, we mimicked verbatim the indicators and settings TradeIQ was using however weren't getting promising results anything close to the claim so we decided to try and improve on it. We changed the static Parabolic SAR to be adaptive based upon the timeframe. We did this by using an adjustable multiplier for the PSAR Max. Also, In TradeIQ's revised version he substituted Hawkeye's Volume Indicator in lieu of Squeeze Momentum. We found that including both indicators we were getting better results so included them both. Feel free to experiment more. Would love to see how this could be improved on.
This strategy uses a combination of 4 open-source public indicators:
Parabolic Sar (built in)
10 in 1 MA's by hiimannshu
Squeeze Momentum by lazybear
HawkEYE Volume Indicator by lazybear
Trading Rules
5m timeframe and above. We saw equally good results in the higher (3h - 4h) timeframes as well.
Long Entry:
Parabolic Sar shifts below price at last dot above and then previous bar needs to breach above that.
Price action has to be below both MA's and 50MA needs to be above 200MA
Squeeze Momentum needsd to be in green or close to going green
HawkEYE Volume Indicator needs to be show a green bar on the histagram
Short Entry:
Parabolic Sar shifts above price at last dot below and then previous bar needs to breach below that.
Price action needs to be above both MA's and 50MA needs to be below 200MA
Squeeze Momentum needsd to be in red or close to going red
HawkEYE Volume Indicator needs to be show a red bar on the histagram
If you know of or have a strategy you want to see myth-busted or just have an idea for one, please feel free to message me.
Risk Management Strategy TemplateThis strategy is intended to be used as a base template for building new strategies.
It incorporates the following features:
Risk management:
Configurable X% loss per stop loss
Configurable R:R ratio
Trade entry:
Calculated position size based on risk tolerance
Trade exit:
Stop Loss currently configurable ATR multiplier but can be replaced based on strategy
Take Profit calculated from Stop Loss using R:R ratio
Backtesting:
Configurable backtesting range by date
Trade drawings:
TP/SL boxes drawn for all trades. Can be turned on and off
Trade exit information labels. Can be turned on and off
NOTE: Trade drawings will only be applicable when using overlay strategies
Debugging:
Includes section with useful debugging techniques
Strategy conditions
Trade entry:
LONG
C1: Price is above EMA line
C2: RSI is crossing out of oversold area
SHORT
C1: Price is below EMA line
C2: RSI is crossing out of overbought area
Trade exit:
Stop Loss: Stop Loss ATR multiplier is hit
Take Profit: R:R multiplier * Stop Loss is hit
The idea is to use RSI to catch pullbacks within the main trend.
Note that this strategy is intended to be a simple base strategy for building upon. It was not designed to be traded in its current form.
DMI StrategyThis strategy is based on DMI indicator. It helps me to identify base or top of the script. I mostly use this script to trade in Nifty bank options, even when the signal comes in nifty. It can be used to trade in other scripts as well. Pivot points can also be used to take entry. Long entry is taken when DI+(11) goes below 10 and DI-(11) goes above 40, whereas short entry is taken when DI-(11) goes below 10 and DI+(11) goes above 40.
For bank nifty, I take the trade in the strike price for which the current premium is nearby 300, with the SL of 20%. If premium goes below 10% I buy one more lot to average, but exit if the premium goes below 20% of the first entry. If the trade moves in the correct direction, we need to start trailing our stoploss or exit at the pre-defined target.
Please have a look at strategy tester to back test.
Gab EMA + rsi + bbscrypt I made for a friend
you are welcome bro ;)
simple strategy
BB Default
RSI 3
200 ema
200 EMA gives the trend direction.
if RSI is over bought and candle touch BB upper band then there will be buy entry. (Price must be above 200 ema)
If RSI is over sold and price touch bb lower band then there will be sell entry. (Price must be below the 200 ema)
SL will be 1 ATR of the entry candle. Tp will 2:1.
***Missing TP and SL values
Customizable Non-Repainting HTF MACD MFI Scalper Bot Strategy v2Customizable Non-Repainting HTF MACD MFI Scalper Bot Strategy v2
This script was originally shared by Wunderbit as a free open source script for the community to work with. This is my second published iteration of this idea.
WHAT THIS SCRIPT DOES:
It is intended for use on an algorithmic bot trading platform but can be used for scalping and manual trading.
This strategy is based on the trend-following momentum indicator . It includes the Money Flow index as an additional point for entry.
This is a new and improved version geared for lower timeframes (15-5 minutes), but can be run on larger ones as well. I am testing it live as my high frequency trader.
HOW IT DOES IT:
It uses a combination of MACD and MFI indicators to create entry signals. Parameters for each indicator have been surfaced for user configurability.
Take profits are now trailing profits, and the stop loss is now fixed. Why? I found that the trailing stop loss with ATR in the previous version yields very good results for back tests but becomes very difficult to deploy live due to transaction fees. As you can see the average trade is a higher profit percentage than the previous version.
HOW IS MY VERSION ORIGINAL:
Now instead of using ATR stop loss, we have a fixed stop loss - counter intuitively to what some may believe this performs better in live trading scenarios since it gives the strategy room to move. I noticed that the ATR trailing stop was stopping out too fast and was eating away balance due to transaction fees.
The take profit on the other hand is now a trailing profit with a customizable deviation. This ensures that you can have a minimum profit you want to take in order to exit.
I have depracated the old ATR trailing stop as it became too confusing to have those as different options. I kept the old version for others that want to experiment with it. The source code still requires some cleanup, but its fully functional.
I added in a way to show RSI values and ATR values with a checkbox so that you can use the new an improved ATR Filter (and grab the right RSI values for the RSI filter). This will help to filter out times of very low volatility where we are unlikely to find a profitable trade. Use the "Show Data" checkbox to see what the values are on the indicator pane, then use those values to gauge what you want to filter out.
Both versions
Delayed Signals : The script has been refactored to use a time frame drop down. The higher time frame can be run on a faster chart (recommended on one minute chart for fastest signal confirmation and relay to algotrading platform.)
Repainting Issues : All indicators have been recoded to use the security function that checks to see if the current calculation is in realtime, if it is, then it uses the previous bar for calculation. If you are still experiencing repainting issues based on intended (or non intended use), please provide a report with screenshot and explanation so I can try to address.
Filtering : I have added to additional filters an ABOVE EMA Filter and a BELOW RSI Filter (both can be turned on and off)
Customizable Long and Close Messages : This allows someone to use the script for algorithmic trading without having to alter code. It also means you can use one indicator for all of your different alterts required for your bots.
HOW TO USE IT:
It is intended to be used in the 5-30 minute time frames, but you might be able to get a good configuration for higher time frames. I welcome feedback from other users on what they have found.
Find a pair with high volatility (example KUCOIN:ETH3LUSDT ) - I have found it works particularly well with 3L and 3S tokens for crypto. although it the limitation is that confrigurations I have found to work typically have low R/R ratio, but very high win rate and profit factor.
Ideally set one minute chart for bots, but you can use other charts for manual trading. The signal will be delayed by one bar but I have found configurations that still test well.
Select a time frame in configuration for your indicator calculations.
Select the strategy config for time frame (resolution). I like to use 5 and 15 minutes for scalping scenarios, but I am interested in hearing back from other community memebers.
Optimize your indicator without filters : customize your settings for MACD and MFI that are profitable with your chart and selected time frame calculation. Try different Take Profits (try about 2-5%) and stop loss (try about 5-8%). See if your back test is profitable and continue to optimize.
Use the Trend, RSI, ATR Filter to further refine your signals for entry. You will get less entries but you can increase your win ratio.
You can use the open and close messages for a platform integration, but I choose to set mine up on the destination platform and let the platform close it. With certain platforms you cannot be sure what your entry point actually was compared to Trading View due to slippage and timing, so I let the platform decide when it is actually profitable.
Limitations: this works rather well for short term, and does some good forward testing but back testing large data sets is a problem when switching from very small time frame to large time frame. For instance, finding a configuration that works on a one minute chart but then changing to a 1 hour chart means you lose some of your intra bar calclulations. There are some new features in pine script which might be able to address, this, but I have not had a chance to work on that issue.
Customizable Non-Repainting HTF MACD MFI Scalper Bot StrategyThis script was originally shared by Wunderbit as a free open source script for the community to work with.
WHAT THIS SCRIPT DOES:
It is intended for use on an algorithmic bot trading platform but can be used for scalping and manual trading.
This strategy is based on the trend-following momentum indicator . It includes the Money Flow index as an additional point for entry.
HOW IT DOES IT:
It uses a combination of MACD and MFI indicators to create entry signals. Parameters for each indicator have been surfaced for user configurability.
Take profits are fixed, but stop loss uses ATR configuration to minimize losses and close profitably.
HOW IS MY VERSION ORIGINAL:
I started trying to deploy this script myself in my algorithmic trading but ran into some issues which I have tried to address in this version.
Delayed Signals : The script has been refactored to use a time frame drop down. The higher time frame can be run on a faster chart (recommended on one minute chart for fastest signal confirmation and relay to algotrading platform.)
Repainting Issues : All indicators have been recoded to use the security function that checks to see if the current calculation is in realtime, if it is, then it uses the previous bar for calculation. If you are still experiencing repainting issues based on intended (or non intended use), please provide a report with screenshot and explanation so I can try to address.
Filtering : I have added to additional filters an ABOVE EMA Filter and a BELOW RSI Filter (both can be turned on and off)
Customizable Long and Close Messages : This allows someone to use the script for algorithmic trading without having to alter code. It also means you can use one indicator for all of your different alterts required for your bots.
HOW TO USE IT:
It is intended to be used in the 5-30 minute time frames, but you might be able to get a good configuration for higher time frames. I welcome feedback from other users on what they have found.
Find a pair with high volatility (example KUCOIN:ETH3LUSDT ) - I have found it works particularly well with 3L and 3S tokens for crypto. although it the limitation is that confrigurations I have found to work typically have low R/R ratio, but very high win rate and profit factor.
Ideally set one minute chart for bots, but you can use other charts for manual trading. The signal will be delayed by one bar but I have found configurations that still test well.
Select a time frame in configuration for your indicator calculations.
Select the strategy config for time frame. I like to use 5 and 15 minutes for scalping scenarios, but I am interested in hearing back from other community memebers.
Optimize your indicator without filters (trendFilter and RSI Filter)
Use the TrendFilter and RSI Filter to further refine your signals for entry. You will get less entries but you can increase your win ratio.
I will add screenshots and possibly a video provided that it passes community standards.
Limitations: this works rather well for short term, and does some good forward testing but back testing large data sets is a problem when switching from very small time frame to large time frame. For instance, finding a configuration that works on a one minute chart but then changing to a 1 hour chart means you lose some of your intra bar calclulations. There are some new features in pine script which might be able to address, this, but I have not had a chance to work on that issue.
SuperIchi StrategyTRADE CONDITIONS
Long entry:
Tenkan-Sen is above Kijun-Sen (blue line above red line)
Price closes above both Tenkan-Sen and Kijun-Sen (price closes above both blue and red lines)
Tenkan-Sen and Kijun-Sen is above Senkou Span (both blue and red lines are above cloud)
Senkou Span is green (cloud is green)
Price pulled back and closed below both Tenkan-Sen and Kijun-Sen within last X (configurable in settings) candles (price pulled back below blue and red lines)
Short entry:
Tenkan-Sen is below Kijun-Sen (blue line below red line)
Price closes below both Tenkan-Sen and Kijun-Sen (price closes below both blue and red lines)
Tenkan-Sen and Kijun-Sen is below Senkou Span (both blue and red lines are below cloud)
Senkou Span is red (cloud is red)
Price pulled back and closed above both Tenkan-Sen and Kijun-Sen within last X (configurable in settings) candles (price pulled back above blue and red lines)
Risk management:
Each trade risks 2% of account (configurable in settings)
SL size determined by swing low/high of previous X candles (configurable in settings) or using the ATR override (configurable in settings) where the max of swing high/low or ATR value will be used to calculate SL
TP is calculated by Risk:Reward ratio (configurable in settings)
TIPS
Timeframe: I have found best results running on anything 5M and above
CREDITS
SuperIchi by LuxAlgo
Boom Hunter + Hull Suite + Volatility Oscillator StrategyTRADE CONDITIONS
Long entry:
Boom Hunter (leading indicator): Trigger line crosses over Quotient 2 line (white cross over red)
Hull Suite (trend confirmation): Price closed above hull suite line and hull suite is green (represented by horizontal line at -10 in strategy pane)
Volatility Oscillator (volatility confirmation): Volatility spike trigger line is above upper band (represented by horizontal line at -30 in strategy pane)
Short entry:
Boom Hunter (leading indicator): Trigger line crosses under Quotient 2 line (white cross under red)
Hull Suite (trend confirmation): Price closed below hull suite line and hull suite is red (represented by horizontal line at -10 in strategy pane)
Volatility Oscillator (volatility confirmation): Volatility spike trigger line is below lower band (represented by horizontal line at -30 in strategy pane)
Risk management:
Each trade risks 3% of account (configurable in settings)
SL size determined by swing low/high of previous X candles (configurable in settings) or 1 ATR if swing is less than 1 ATR
TP is calculated by Risk:Reward ratio (configurable in settings)
TIPS
Timeframe: I have found good results running on BTC/USDT 5M chart
Note: To help visual identification of trade entries and exits you may wish to add the Hull Suite and Volatility Oscillator to the chart separately. It was not possible to display them in a clear way within a single panel for the strategy. Make sure you set the settings of the auxiliary indicators to match what is in the settings of this indicator if you do decide to add them.
CREDITS
Boom Hunter Pro by veryfid
Hull Suite by InSilico
Volatility Oscillator by veryfid
Oversold RSI with tight SL Strategy (by Coinrule)This is one of the best strategies that can be used to get familiar with technical indicators and start to include them in your trading bot rules.
ENTRY
1. This trading system uses the RSI ( Relative Strength Index ) to anticipate good points to enter positions. RSI is a technical indicator frequently used in trading. It works by measuring the speed and change of price movements to determine whether a coin is oversold (indicating a good entry point) or overbought (indicating a point of exit/entry for a short position). The RSI oscillates between 0 and 100 and is traditionally considered overbought when over 70 and oversold when below 30.
2. To pick the right moment to buy, the strategy enters a trade when the RSI falls below 30 indicating the coin is oversold and primed for a trend reversal.
EXIT
The strategy then exits the position when the price appreciates 7% from the point of entry. The position also maintains a tight stop-loss and closes the position if the price depreciates 1% from the entry price. The idea behind this is to cut your losing trades fast and let your winners ride.
The best time frame for this strategy based on our backtesting data is the daily. Shorter time frames can also work well on certain coins, however in our experience, the daily works best. Feel free to experiment with this script and test it on a variety of your coins! With our backtesting data a trading fee of 0.1% is taken into account. The fee is aligned to the base fee applied on Binance, which is the largest cryptocurrency exchange by volume. In the example shown, this strategy made a handsome net profit of 39.31% on Chainlink with 61.54% of trades being profitable.
Oversold RSI with Tight Stop-Loss Strategy (by Coinrule)KRAKEN:LINKUSD
This is one of the best strategies that can be used to get familiar with technical indicators and start to include them in your rules on Coinrule .
ENTRY
1. This trading system uses the RSI (Relative Strength Index) to anticipate good points to enter positions. RSI is a technical indicator frequently used in trading. It works by measuring the speed and change of price movements to determine whether a coin is oversold (indicating a good entry point) or overbought (indicating a point of exit/entry for a short position). The RSI oscillates between 0 and 100 and is traditionally considered overbought when over 70 and oversold when below 30.
2. To pick the right moment to buy, the strategy enters a trade when the RSI falls below 30 indicating the coin is oversold and primed for a trend reversal.
EXIT
The strategy then exits the position when the price appreciates 7% from the point of entry. The position also maintains a tight stop-loss and closes the position if the price depreciates 1% from the entry price. The idea behind this is to cut your losing trades fast and let your winners ride.
The best time frame for this strategy based on our back testing data is the daily. Shorter time frames can also work well on certain coins, however in our experience, the daily works best. Feel free to experiment with this script and test it on a variety of your coins! With our back testing data a trading fee of 0.1% is taken into account. The fee is aligned to the base fee applied on Binance, which is the largest cryptocurrency exchange by volume. In the example shown, this strategy made a handsome net profit of 52.6% on Chainlink with 66.67% of trades being profitable.
You can execute this strategy on your favorite exchanges with Coinrule .
QUAD DEMAHey Folks,
Just created my first script, It's basically 4 DEMA in one indicator which helps you not to use multiple indicators.
It's more accurate than Exponential Moving Average & give signals much prior to the breakout, very helpful in short timeframes.
Tweak it according to your preference
Instructions to use
-When 55 DEMA crosses all the DEMA it's a clear signal for uptrend or downtrend which can potentially be a entry or exit points.
-Don't depend on this when all the DEMA's are entangled to each other.
-Use Stochastic RSI for better approach in entry.
-Most accurate in 1hr time frame for short term entry.
Enjoy!
AVG Stochastic Strategy [M30 Backtesting]1. AVG Stochastic Calculate
1.1 AVG %K is calculated by apply EMA with smooth K period on Average of Original Stochastic %k & %d
+ avg_k=ema((%k+%d)/2,smoothK)
1.2 AVG %D is calculated by apply EMA with %d period on AVG %K
+ avg_d=ema(avg_k,periodD)
2. Parameter
+ %K Length: 21
+ %K Smoothing: 3
+ %D Smoothing: 3
+ Symbol: BTC/USDT
+ Timeframe: M30
+ Pyramiding: Maximum 3 orders at the same direction.
3. Signal
3.1 Buy Signal
+ Entry: AVG %K crossover AVG %D and AVG %D < 20
+ Exit: AVG %D > 80
3.2 Sell Signal
+ Entry: AVG %K crossunder AVG %D and AVG %D > 80
+ Exit: AVG %D < 20
Bjorgum Key Levels
Key Levels Aims to capture 3 of the most significant points in price action
Breakouts
False Breakouts (Traps)
Back Checks
These 3 points alone, if properly identified, can be some of the most significant points of movement in the price history of an asset and bring significant gains to traders, if capitalized on. Here are a few examples of these setups
Breakouts
Breakouts can bring significant rallies as the market swings one sided after key levels are breached. This entry type can bring large trending runs to follow. Momentum is on your side, but the trade off is a higher entry.
False Breakouts
Also known as a bull trap or a bear trap, false breaks can lead to swift and significant reversals and potential for a large and sudden move to the opposite side. When a key level breakout fails to hold, parties entering to capitalize on the "epic breakout" can get left holding the bag forcing them to exit at a loss, which can double the force of pressure. Traps can bring swift gains from good entry prices. However, price is still in a larger trend against you so momentum is weak, so price action is susceptible to roll over.
Backchecks
Back checks are pull backs in trend that find middle ground to the 2 areas already described. Both momentum and entry price are decent, but risk is defined as a key level has flipped offering entry with stops below demand, or above supply.
Combining these 3 methods helps to diversify risk, understand trend development, and bring steady gains. This script helps to identify these points to traders with analysis of key levels, price structure, and trend direction, while providing visual signals and alerts for when they occur.
Best of luck in your coding and trading and thank you for your support
