TRADLEWARE-HODL
Buy and Hold Benchmark
This is a passive reference strategy, not a signal-based trading system. It exists to give an honest baseline: buy once, hold through everything, and see what an active strategy actually needs to beat.
How it works
Buy-and-hold ("HODL") is the simplest possible approach to markets: put the money in once and do nothing else, regardless of what price does afterward. There is no attempt to time entries or exits, no reaction to drawdowns, and no risk management of any kind. Any active strategy that cannot beat this, risk-adjusted, over the same period has not demonstrated an edge.
Entry
The entire starting capital is deployed in a single buy, on the first bar at or after the start date.
Exit
The position is held until the end date, or the end of the chart's available history, whichever comes first — at which point it is closed once so the backtest can report a final equity figure. This is bookkeeping, not a trading decision; the whole point of the strategy is that it does not exit early.
Parameters
Start Date / End Date: the single buy fires on the first bar at or after the start date; the position is held until the end date
Position sizing is set to 99.95% of equity rather than a full 100%. That small gap avoids a PulseWire position-sizing rounding artifact that can otherwise show up as an extra "Margin call" row even on a strategy with only one real trade; the effect on the actual result is negligible.
Costs modelled
0.1% commission per side, 3 ticks slippage.
Intended assets and timeframe
Works on any asset or timeframe — there is no technical logic to adapt, just a buy date and a hold period.
Known limitations
Full exposure to every drawdown the asset experiences, for the entire holding period, by design. This is not a flaw to fix — it is the deliberate point of comparison for any strategy that claims to manage risk better than doing nothing.
Strategy
Strong Biotech Screener | ProjectSyndicateStrong Biotech Screener turns dozens of charts into a single institutional-style dashboard, ranking a curated universe of 40 leading biotech names by performance across six timeframes and scoring each one on professional-grade risk metrics — Beta, Sharpe, Sortino, Omega, Z-Score, and Kelly — so you can find the year's biotech leaders and weigh their risk-adjusted quality at a glance, all on one clean, sortable panel. Every figure is computed live on the daily timeframe from real price history, not hard-coded, so the board reflects the market as it actually is right now.
🧬 Curated 40-Name Biotech Universe — the screener watches a hand-picked list of 40 high-momentum biotech, pharma, and life-sciences stocks in one place. Instead of flipping through forty charts, you see every name's performance and risk profile side by side and immediately spot who is leading and who is rolling over.
🗓️ Six-Timeframe Performance — each stock is tracked across Week, Month, Quarter, 6-Month, 12-Month, and Year-to-Date returns, so you can separate a one-week catalyst pop from a genuine long-run trend and see momentum building or fading across horizons in a single row.
🧮 Institutional Risk Metrics, Done Properly — beyond raw returns, every name is scored on Sharpe (excess return per unit of total volatility), Sortino (return per unit of downside risk only), Omega (probability-weighted gains versus losses above the risk-free threshold), Z-Score (how stretched the recent move is in standard deviations), and the Kelly fraction (a theoretical optimal-sizing read from return and variance). The stats are annualized from daily returns over a rolling window with a configurable risk-free rate, so the risk picture is consistent and comparable across the whole list — which matters especially in biotech, where single-name volatility is extreme.
🎯 Basket-Relative Beta — Beta is measured against an equal-weight basket of the 40 names in the screener, so it tells you how a stock moves relative to this specific biotech cohort rather than a broad index. Beta above 1 swings harder than the group; below 1 is steadier. You control the lookback length used for the beta and correlation calculation.
🌡️ Annualized Weekly Volatility — a dedicated Wk Vol column annualizes the standard deviation of recent weekly returns, giving you a fast read on how violent each name's price action is before you size into it — essential in a sector where binary trial and FDA events can move a stock 50% in a session.
🔀 Dynamic Sorting — sort the entire board by any of the six performance columns with a single setting. Rank by YTD to find the year's biotech leaders, by Week to catch what is moving on fresh catalysts, or by any horizon in between — the table re-ranks instantly.
🎨 Bloomberg-Amber Theme with Color-Coded Strength — a clean amber-on-black dashboard with a multi-level gradient that runs from bright amber on the strongest gains through to deep red on the steepest losses, so strength and weakness jump out the moment you look at the panel.
🧩 Fully Customizable Dashboard — place the table anywhere on the chart (Top / Middle / Bottom paired with Left / Center / Right), choose your text size (Tiny / Small / Normal / Large), set the sort column, the beta length, and the risk-free rate and periods — all from the settings menu, no code editing required.
🔒 Daily-Timeframe Lock — the screener is built for daily data and will prompt you to switch if you load it on a lower timeframe, so the returns, volatility, and ratios are always calculated on the basis they are designed for.
⚡ Lightweight and Efficient — the whole 40-name board is built from a tight, well-organized script that runs smoothly on PulseWire, with a clean merged title heading and an alternating-row layout for easy reading. Delisted or halted tickers degrade gracefully to blank rows rather than breaking the panel.
🎯 Why this is different — most watchlists show you price and maybe a percentage move. This screener puts performance and a full institutional risk stack — Sharpe, Sortino, Omega, Z-Score, Kelly, Beta, and annualized volatility — for forty leading biotech names on one sortable, color-coded panel, so you are ranking opportunities by risk-adjusted quality, not just chasing the biggest green number.
🚀 Where to use it — apply it to any daily chart to monitor the biotech leadership group as a whole. Use it for top-down scanning, rotation ideas, and risk screening before you drill into an individual name's chart for entry timing.
⚠️ Important — this is a research and decision-support dashboard, not a buy/sell system, and it makes no performance guarantees. The 40-name universe is a snapshot of the year's momentum leaders and will drift over time; the board re-ranks live, but membership is fixed until updated. All figures are historical and descriptive, computed from past price data, and say nothing certain about the future. Risk metrics like Sharpe, Sortino, Omega, Z-Score, and Kelly are simplified, assumption-based estimates and should inform your judgment, not replace it. Biotech is an especially high-risk sector driven by binary clinical and regulatory events — always pair the screener with your own analysis and risk management. Indicator
Indicator
Assassin's Grid
Introduction: Are you a fan of automated grid-based trading and holding onto your crypto assets like they're the last Snickers bar in the world? If so, this Pine script could be your new best friend!
Grid Trading Genius: The script uses some seriously advanced grid trading techniques to automatically place orders at different price levels, creating a mesh of positions that move with the market like a well-oiled machine. This strategy can be great for traders who are willing to sit back and let their positions grow like a fine wine over time.
Optimization Features: The script comes loaded with all sorts of features and tools to help traders optimize their grid positions, like position exits and custom alerts for creating limit and market orders. This helps keep traders in the loop and allows them to take action as needed, like a ninja in the night.
Unique Twists: One of the unique features of this script is the option to choose between normal or incremental entry steps in a 1,2,3,... ratio. By choosing incremental entries, traders can potentially improve their average price and increase their potential profits like a boss. Just keep in mind that this script doesn't have a stop loss feature, but it does include the option to sell without profit on the final entry or on all entries if desired. Additionally, the script is always open to improvement and any ideas for improving it are welcome, like a blank canvas.
Conclusion: If you love automated trading and have the patience and determination to stick to a solid strategy, this Pine script could be a great fit for you. It's suitable for traders who are comfortable with more complex trading approaches and are willing to put in the time and effort to learn and master the script's various features and techniques, like a Jedi Knight
Indicator
Strategy
Indicator
Indicator
Indicator
Strategy
TFO + ATR Strategy with Trailing Stop LossThis strategy is an experiment to learn what happens when The Trend Flex Oscillator (by Dr. John Ehlers) is used in conjunction with a volatility indicator like ATR. It was designed with cryptocurrency trading in mind.
The way I coded this experiment makes it unsuitable for bear market conditions.
When applied to a bull market, this trend-following strategy will open long positions when oversold price action appear to be reversing. It will typically close a position within a few days unless it gets caught in a bear market, in which case it holds on for dear life. I have tried to make back-testing very simple, but you should never trust it. It's merely and interesting tool for adjusting the many parameters that I've made editable in the configuration window. Those values include the ATR and TFO parameters, as well as setting a trailing stop loss. When closing a position, the strategy can optionally be told to ignore the trend analysis and only obey the trailing stop loss value. I've made an attempt to allow the user to define the minimum profit necessary to allow the strategy to close all all positions. In my observations, the 2H candlestick charts seem to produce the best results, although the parameters of the strategy could theoretically be adjusted to suit other time periods.
In summary...
This strategy has a bias for HODL (Holds on to Losses) meaning that it provides NO STOP LOSS protection!
Also note that the default behavior is designed for up to 15 open long orders, and executes one order to close them all at once.
Opening a long position is predicated on The Trend Flex Oscillator (TFO) rising after being oversold, and ATR above a certain volatility threshold.
Closing a long is handled either by TFO showing overbought while above a certain ATR level, or the Trailing Stop Loss. Pick one or both.
If the strategy is allowed to sell before a Trailing Stop Loss is triggered, you can set a "must exceed %". Do not mistake this for a stop loss.
Short positions are not supported in this version. Back-testing should NEVER be considered an accurate representation of actual trading results.
// portions © allanster (date window code)
// portions © Dr. John Ehlers (Trend Flex Oscillator)
This code is provided for educational purposes only. The results of this strategy should not be considered investment advice.
The user of this script acknowledges that it can result in serious financial loss when used as a trading tool Strategy
Strategy
Indicator
Indicator
Indicator
