Automate on Hyperliquid - Strategy Webhook Template [HYPR-run]DESCRIPTION
You define the entry signal. The system manages everything after the fill. This is a production-grade trade system for automating strategies on Hyperliquid using PulseWire webhooks. Five-level priority chain trade system. Four ATR trailing architectures including volume-weighted ATR with Efficiency Ratio scaling and ratchet floor. Smart stops that exit when a trade is invalidated. Pyramid scaling into winners and a redundant failsafe stop.
Three signal systems are included ready to backtest and deploy (EMA crossover, Turtle breakout, SFP - Swing Failure Pattern) that you can toggle on/off independently; replace or extend them with your own logic in three places: the input toggle, the signal condition, and the priority chain entry call. There are clear landmarks in the code to make it as straightforward as possible.
This strategy is built for you to hit the ground running backtesting or automating with a systematic framework to execute around your entry logic or the example signals provided. All signals fire on confirmed bar closes only. Entries, exits, pyramids, and stops are evaluated at close, not during the bar, so intrabar wick spikes do not trigger the system. This is by design. No lookahead bias: all highest/lowest references use prior-bar offsets, LinReg is calculated with offset=1, and no security() calls are used. The script does not repaint or compound returns.
WHAT THE STRATEGY SYSTEMIZES
1. Five-Level Priority Action Chain
Entries fire first. Pyramids fire second and block exits on the same bar. Trailing exits ride winners. Smart stops catch failing trades early. Failsafe stop is the absolute floor. The if/else order is intentional and prevents conflicts so that every action occurs only when it should.
2. Four ATR Trailing Stop Modes
Select from a dropdown. All use separate long/short look backs and multipliers because drops are faster than rallies; the defaults reflect this asymmetry.
• A3.1: LinReg + plain ATR, no ratchet. Baseline for comparison.
• A4.0 (default): LinReg + volume-weighted ATR + Efficiency Ratio + ratchet. VWATR discounts low-volume bars. ER tightens in chop (0.8x), widens in trend (1.2x). Ratchet means the stop only moves in your favor.
• A4.1: Chandelier + VWATR + ratchet + first-bar multiplier for tighter initial protection.
• A4.2: LinReg + VWATR, no ratchet or ER. Stop moves freely with projection.
***The multipliers determine how much room the stop gives price before triggering. They have the greatest influence on overall system performance and must be tuned to the asset and timeframe being traded. Default values are a starting point, not final settings.
• L Multi: 4.0 (long stop distance). Wider because uptrends are slower and require more room.
• S Multi: 2.0 (short stop distance). Tighter because drops are faster and corrections are sharper.
• Long LB: 14 bars. ATR lookback for long stops.
• Short LB: 26 bars. ATR lookback for short stops; longer lookback smooths volatile short-side moves.
• LinReg LB: 10 bars. LinReg projection window (A3.1, A4.0, A4.2).
• First Bar Mult: 1.5x (A4.1 only). Tighter stop on the entry bar; expands to standard multiplier after.
3. Smart Stops
Two trigger paths, both requiring open P&L below threshold (default -3.5%): (1) price crosses under the trailing stop while losing, or (2) price breaks the entry bar’s structure while losing. Either path exits the trade before the failsafe would trigger. The P&L condition on both paths prevents exits on noise when the trade is still within normal range.
4. Pyramid Entries
Scales into winning trades on 5-bar extremes. Requires full bar confirmation and must be within 13 bars of the initial entry.
5. Basic Entry Quality Filters
Applied automatically to every entry:
• Wick nullification: bars with wicks > 38.2% of range block entries in that direction
• SFP nullification: active reversal patterns block opposing entries
• Full bar filter: candle body must be >= 66.6% of total range
• Bar confirmation: entries only fire on confirmed bars
THREE SIGNALS INCLUDED (replace or extend)
• XO/XU: EMA crossover with four configurable pairs (5/13, 9/26, 12/25, 26/128). Requires price above swing high (longs) or below swing low (shorts) plus volume spike (Dropdown Selection).
• Turtle: 13/26 bar breakout with Lost Trade System logic. First breakout after an opposing signal gets priority.
• SFP: Swing Failure Pattern. Longs fire on either 5/5 with full-body confirmation or 5/2 with bullish candle confirmation and strong volume spike (1.618x average). Shorts fire on 5/5 with full-body or 13/3 with bearish candle confirmation. Dual-path per direction allows the signal to catch both high-conviction structure failures and high-volume reversals. The function accepts any left/right look back combination, making it straightforward to adapt. (#/# refers to pivot look back left and right)
Each has its own toggle. Enable one, combine them, or swap in your own signals.
WEBHOOK AUTOMATION
Every fill event fires through PulseWire’s built-in webhook system when enabled: entries, exits, pyramids, smart stops, and failsafe closes. To execute those webhooks on Hyperliquid, an intermediary service (execution layer) that accepts PulseWire webhooks and routes orders to Hyperliquid's API is required.
Setup:
1. Create an alert on this strategy
2. Set trigger to "Order fills only"
3. Check Webhook URL, paste your endpoint
4. Message box: {"ticker":"{{ticker}}","position":"{{strategy.market_position}}"}
5. Set expiration to Open-ended
The snippet will most likely require customization depending on your execution layer. The {{ticker}} and {{strategy.market_position}} fields are PulseWire placeholders that auto-populate when a strategy signal fires.
We recommend referencing PulseWire’s Strategy Alerts documentation to fully understand placeholder use and function when setting up your snippet for your execution layer: www.pulsewire.com
BUILDING WITH YOUR OWN SIGNALS
The most straightforward path is adding your own entry logic. The ATR module, smart stops, and pyramids can also be edited to preferred logic while still leveraging the systemized structure for clean execution when automating on an exchange.
Option 1: Replace an existing signal. Find its section under the SIGNALS header (look for "EXAMPLE 1", "EXAMPLE 2", or "EXAMPLE 3"). Delete the example code and write your condition in its place. Find the matching entry in the STRATEGY CALLS priority chain and swap the condition variable. The toggle still works; rename its label in the input line. Everything downstream works automatically.
Option 2: Add a new signal. Three places to touch:
1. Copy a strategy toggle line from the STRATEGIES input group, change the variable name and label
2. Add your signal logic in the SIGNALS section as a boolean
3. Add an else-if block in the STRATEGY CALLS priority chain using your toggle as the gate
Two test switches (Tsw1, Tsw2) are reserved in Settings for custom signals.
READING THE CHART
Candles are colored by direction: black bodies up, gray bodies down (Quant Filter toggle).
The trailing stop draws as a colored line following your position: green below price when long, red/orange above price when short. A gradient fill shades the zone between price and the stop; it intensifies as price approaches the exit level.
Green dots on the long stop line and red dots on the short stop line are ratchet markers (A4.0 and A4.1 only). Each dot means the stop locked in a new level and will not pull back.
Entry labels appear at each fill: "xoL" (EMA long), "xuS" (EMA short), "tL" (Turtle long), "tS" (Turtle short), "sfpL"/"sfpS" (SFP entries), "pyrL"/"pyrS" (pyramid adds). Exit labels: "Cl"/"Cs" (trailing close long/short), "smrtstp" (smart stop), "fstp" (failsafe).
SFP candle wicks are color-coded by lookback: 5/5 bull wick = bright green, 5/2 bull wick = dark green, 5/5 bear wick = bright red, 13/3 bear wick = dark red. The shade tells you which configuration triggered — brighter means the more common 5/5 detection, darker means the secondary lookback fired.
Horizontal lines extending from entry price are the Late Entry Window: white solid line is entry price, green dashed line is entry + ATR window, red dashed line is entry - ATR window. Visual reference only; does not affect trade logic. Useful when away from the screen to quickly see if a missed entry is still within a safe ATR range.
Market structure labels (HH, LH, HL, LL) appear at swing pivots when the Structure toggle is enabled.
RISK MATH
Order size is fixed at $5,000 (50% of starting capital). That means it's always a flat $5k order, no compounding. With the failsafe at -5.25%, maximum loss per trade is $262.50, or 2.625% of the $10,000 starting balance.
*Because order size is fixed in dollars while equity grows, risk as a percentage of equity decreases over time: 2.625% at start, 2.1% at $12,500, 1.75% at $15,000. The smart stop triggers before the failsafe in most cases, reducing average realized loss further.
STRATEGY PROPERTIES (What's used in the chart published here)
Strategies (all off by default - toggle on to activate):
• XO/XU: on
• Turtle: on
• SFP: on
Settings:
• Mode: Historical (switch to Bot Mode for live automation - limits calculation depth for speed)
• EMA Pair: 9/26
Risk Management:
• Smart Stop: on | -3.5%
• Failsafe Stop: on | -5.25%
• Mech TP/Cls: on
ATR Trailing Exits:
• Mode: A4.0
• L Multi: 4.0 | S Multi: 2.0
• Lng LB: 14 | Shrt LB: 26
• LinReg: 10 | First Bar: 1.5 (A4.1 only)
Backtest Properties:
• Initial capital: $10,000
• Commission: 0.05%
• Slippage: 2 ticks
• Order size: $5,000 (cash, fixed)
• Fill limit assumption: 5 ticks
• Max risk per trade: $262.50 (2.625% of starting equity)
CREDITS
ATR: J. Welles Wilder (1978).
Efficiency Ratio: Perry Kaufman.
Turtle breakout concept: Richard Donchian. Strategy
MFI Strategy with Oversold Zone Exit and AveragingThis strategy is based on the Money Flow Index (MFI) and aims to enter a long position when the MFI exits an oversold zone, with specific rules for limit orders, stop-loss, and take-profit settings. Here's a detailed breakdown:
Key Components
1. **Money Flow Index (MFI)**: The strategy uses the MFI, a volume-weighted indicator, to gauge whether the market is in an oversold condition (default threshold of MFI < 20). Once the MFI rises above the oversold threshold, it signals a potential buying opportunity.
2. **Limit Order for Long Entry**: Instead of entering immediately after the oversold condition is cleared, the strategy places a limit order at a price slightly below the current price (by a user-defined percentage). This helps achieve a better entry price.
3. **Stop-Loss and Take-Profit**:
- **Stop-Loss**: A stop-loss is set to protect against significant losses, calculated as a percentage below the entry price.
- **Take-Profit**: A take-profit target is set as a percentage above the entry price to lock in gains.
4. **Order Cancellation**: If the limit order isn’t filled within a specific number of bars (default is 5 bars), it’s automatically canceled to avoid being filled at a potentially suboptimal price as market conditions change.
Strategy Workflow
1. **Identify Oversold Zone**: The strategy checks if the MFI falls below a defined oversold level (default is 20). Once this condition is met, the flag `inOversoldZone` is set to `true`.
2. **Wait for Exit from Oversold Zone**: When the MFI rises back above the oversold level, it’s considered a signal that the market is potentially recovering, and the strategy prepares to enter a position.
3. **Place Limit Order**: Upon exiting the oversold zone, the strategy places a limit order for a long position at a price below the current price, defined by the `Long Entry Percentage` parameter.
4. **Monitor Limit Order**: A counter (`barsSinceEntryOrder`) starts counting the bars since the limit order was placed. If the order isn’t filled within the specified number of bars, it’s canceled automatically.
5. **Set Stop-Loss and Take-Profit**: Once the order is filled, a stop-loss and take-profit are set based on user-defined percentages relative to the entry price.
6. **Exit Strategy**: The trade will close automatically when either the stop-loss or take-profit level is hit.
Advantages
- **Risk Management**: With configurable stop-loss and take-profit, the strategy ensures losses are limited while capturing profits at pre-defined levels.
- **Controlled Entry**: The use of a limit order below the current price helps secure a better entry point, enhancing risk-reward.
- **Oversold Exit Trigger**: Using the exit from an oversold zone as an entry condition can help catch reversals.
Disadvantages
- **Missed Entries**: If the limit order isn’t filled due to insufficient downward movement after the oversold signal, potential opportunities may be missed.
- **Dependency on MFI Sensitivity**: As the MFI is sensitive to both price and volume, its fluctuations might not always accurately represent oversold conditions.
Overall Purpose
The strategy is suited for traders who want to capture potential reversals after oversold conditions in the market, with a focus on precise entries, risk management, and an automated exit plan. Strategy
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LowFinder_PyraMider_V2This strategy is a result of an exploration to experiment with other ways to detect lows / dips in the price movement, to try out alternative ways to exit and stop positions and a dive into risk management. It uses a combination of different indicators to detect and filter the potential lows and opens multiple positions to spread the risk and opportunities for unrealized losses or profits. This script combines code developed by fellow Tradingview community_members.
LowFinder
The lows in the price movement are detected by the Low finder script by RafaelZioni . It finds the potential lows based on the difference between RSI and EMA RSI. The MTF RSI formula is part of the MTFindicators library developed by Peter_O and is integrated in the Low finder code to give the option to use the RSI of higher timeframes. The sensitivity of the LowFinder is controlled by the MA length. When potential lows are detected, a Moving Average, a MTF Stochastic (based the the MTFindiicators by Peter_O) and the average price level filter out the weak lows. In the settings the minimal percentage needed for a low to be detected below the average price can be specified.
Order Sizing and Pyramiding
Pyramiding, or spreading multiple positions, is at the heart of this strategy and what makes it so powerful. The order size is calculated based on the max number of orders and portfolio percentage specified in the input settings. There are two order size modes. The ‘base’ mode uses the same base quantity for each order it opens, the ‘multiply’ mode multiplies the quantity with each order number. For example, when Long 3 is opened, the quantity is multiplied by 3. So, the more orders the bigger the consecutive order sizes. When using ‘multiply’ mode the sizes of the first orders are considerably lower to make up for the later bigger order sizes. There is an option to manually set a fixed order size but use this with caution as it bypasses all the risk calculations.
Stop Level, Take Profit, Trailing Stop
The one indicator that controls the exits is the Stop Level. When close crosses over the Stop Level, the complete position is closed and all orders are exited. The Stop Level is calculated based on the highest high given a specified candle lookback (settings). There is an option to deviate above this level with a specified percentage to tweak for better results. You can activate a Take Profit / Trailing Stop. When activated and close crosses the specified percentage, the Stop Level logic changes to a trailing stop to gain more profits. Another option is to use the percentage as a take profit, either when the stop level crosses over the take profit or close. With this option active, you can make this strategy more conservative. It is active by default.
And finally there is an option to Take Profit per open order. If hit, the separate orders close. In the current settings this option is not used as the percentage is 10%.
Stop Loss
I published an earlier version of this script a couple of weeks ago, but it got hidden by the moderators. Looking back, it makes sense because I didn’t pay any attention to risk management and save order sizing. This resulted in unrealistic results. So, in this script update I added a Stop Loss option. There are two modes. The ‘average price’ mode calculates the stop loss level based on a given percentage below the average price of the total position. The ‘equity’ mode calculates the stop loss level based on a given percentage of your equity you want to lose. By default, the ‘equity’ mode is active. By tweaking the percentage of the portfolio size and the stop loss equity mode, you can achieve a quite low risk strategy set up.
Variables in comments
To sent alerts to my exchange I use a webhook server. This works with a sending the information in the form of a comment. To be able to send messages with different quantities, a variable is added to the comment. This makes it possible to open different positions on the exchange with increasing quantities. To test this the quantities are printed in the comment and the quantities are switched off in the style settings.
This code is a result of a study and not intended for use as a worked out and full functioning strategy. Use it at your own risk. To make the code understandable for users that are not so much introduced into pine script (like me), every step in the code is commented to explain what it does. Hopefully it helps.
Enjoy!
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(IK) Grid ScriptThis is my take on a grid trading strategy. From Investopedia:
"Grid trading is most commonly associated with the foreign exchange market. Overall the technique seeks to capitalize on normal price volatility in an asset by placing buy and sell orders at certain regular intervals above and below a predefined base price."
This strategy is best used on sideways markets, without a definitive up or down major trend. Because it doesn't rely on huge vertical movement, this strategy is great for small timeframes. It only goes long. I've set initial_capital to 100 USD. default_qty_value should be your initial capital divided by your amount of grid lines. I'm also assuming a 0.1% commission per trade.
Here's the basic algorithm:
- Create a grid based on an upper-bound (strong resistance) and a lower-bound (strong support)
- Grid lines are spaced evenly between these two bounds. (I recommend anywhere between 5-10 grid lines, but this script lets you use up to 15. More gridlines = more/smaller trades)
- Identify nearest gridline above and below current price (ignoring the very closest grid line)
- If price crosses under a near gridline, buy and recalculate near gridlines
- If price crosses over a near gridline, sell and recalculate near gridlines
- Trades are entered and exited based on a FIFO system. So if price falls 3 grid lines (buy-1, buy-2, buy-3), and subsequently crosses above one grid line, only the first trade will exit (sell-1). If it falls again, it will enter a new trade (buy-4), and if it crosses above again it will sell the original second trade (sell-2). The amount of trades you can be in at once are based on the amount of grid lines you have.
This strategy has no built-in stop loss! This is not a 'set-it-and-forget-it" script. Make sure that price remains within the bounds of your grid. If prices exits above the grid, you're in the money, but you won't be making any more trades. If price exits below the grid, you're 100% staked in whatever you happen to be trading.
This script is more complicated than my last one, but should be more user friendly. Make sure to correctly set your lower-bound and upper-bound based on strong support and resistance (the default values for these are probably going to be meaningless). If you change your "Grid Quantity" (amount of grid lines) make sure to also change your 'Order Size' property under settings for proper test results (or default_qty_value in the strategy() declaration).
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