Empiece

Long-term

Xer0's Dual Engine Ladder AllocatorOverview This indicator is designed for long-term investors using a "Dual Engine" portfolio strategy on M1 Finance — mixing a broad-market index fund with a leveraged counterpart in the same Pie. Instead of guessing when to buy the dip, this script provides a systematic, step-by-step roadmap for increasing your leveraged allocation as the market falls, and resetting it as the market recovers. How It Works The strategy is built on "Sticky All-Time High" logic. It tracks the highest close price and calculates the current drawdown from that peak, then responds with one of three scenarios: Ladder Down (Risk On): For every defined drop step (e.g. every -5%), the indicator signals a RISK UP event — automatically calculating your new target allocation to the leveraged slice of your Pie. This forces systematic, disciplined buying at lower prices. Recovery Reset (Risk Off): Once the market recovers by a set percentage from the bottom, the script signals a RESET — returning your allocation to the base level and locking in the gains from the dip-buying phase. Bull Step: When the market pushes into new high territory, the script tracks each new leg up and keeps your reference point current. Key Features Sticky ATH Tracking: Automatically calculates true drawdown from the cycle peak Customizable Ladder Steps: Define your own drop trigger percentage and leverage increase per step Max Cap: Hard ceiling on leverage exposure to protect against catastrophic drawdowns Bar Confirmation: All signals fire on daily close to avoid intraday false triggers Visual Dashboard: Bottom-right table showing current mode, target leverage, drawdown, and recovery price target Alert Conditions: Built-in RISK UP and RESET alerts compatible with TradingView's "Once Per Bar Close" setting Backtested Performance (Simulated — Read Carefully) The following results are from a Python backtest covering approximately 30 years (1996–2026), using $923/week in contributions every Friday. The strategy used two M1 Pies: Pie 1 (S&P 500 index fund / 3× S&P 500 ETF, base leverage 35%) and Pie 2 (Nasdaq-100 index fund / 3× Nasdaq-100 ETF, base leverage 25%). Tax assumptions reflect California state + federal rates for a $47K–$100K income bracket. Data prior to 2010 is synthetic, modeled from underlying index returns. Results are hypothetical and do not represent actual trading. Past performance does not guarantee future results. Ladder Strategy | VOO Benchmark Total Contributed $1,395,576 | $1,395,576 Final Value (after-tax) $25,286,879 | $9,025,443 Total Return 1,711.9% | 546.7% CAGR (on contributions) 10.1% | 6.4% Max Drawdown -91.8% | -50.5% Taxes Paid (CA) $5,358,907 | N/A (buy & hold) Cash After Full Liquidation $23,500,189 | $7,171,385 The ladder strategy produced approximately 227.7% more after-tax cash than buy-and-hold VOO after full liquidation. However, the strategy experienced a maximum drawdown of -91.8% — meaning at its worst point, the portfolio lost nearly all of its value on paper. This level of volatility is not suitable for most investors and requires strong conviction and a long time horizon to hold through. How to Use Add this indicator to a Daily (1D) chart of your chosen index. Configure the inputs to match your risk tolerance — Base Leverage %, Drop Step %, and Max Cap %. Enter your M1 Pie name in the input field so alerts reference it by name. Set alerts using "Once Per Bar Close" and adjust your Pie allocation whenever a signal fires. Disclaimer This script is for informational and educational purposes only. It does not constitute financial advice. Backtested results are simulated and hypothetical — they do not account for all real-world frictions and should not be interpreted as a guarantee of future performance. Trading leveraged instruments involves significant risk, including the potential loss of your entire investment, and is not suitable for all investors.
Indicador Pine Script®
por Xer0
Price per m2 Argentina CABA USD/m2 - SMAs (1999-2025)Overview This indicator plots the historical USD price per square meter of apartments in CABA (Buenos Aires City), Argentina, combining annual data (1999–2011) with monthly data (2012–2025) to reconstruct a long-term residential real estate pricing series. All values were manually digitized, cleaned, and consolidated from public reports and market datasets to create a continuous analytical framework for historical valuation analysis. The script also includes SMA20, SMA50, and SMA100 calculated over the custom dataset to support long-term trend analysis, cycle identification, and macro structural evaluation. Data Sources 1999–2011 (Annual): Maure Real Estate Market Reports 2012–2020 (Monthly): UCEMA Real Estate Index 2020–2025 (Monthly): RE/MAX – UCEMA Market Monitor All datasets referenced are derived from publicly available reports and institutional publications. How to Use This Indicator *USE ON THE 1 MONTH TIMEFRAME* This tool enables investors, developers, and market analysts to: • Identify multi-year trend shifts in residential real estate valuations • Compare pricing cycles against Argentine macroeconomic environments • Map long-term support and resistance zones • Detect early signs of market recovery or contraction • Integrate real estate fundamentals with technical analysis frameworks The moving averages help visualize structural trends that are typically less observable in traditional property datasets. About This Work This historical series was reconstructed and coded by Engineer Francisco Michelich through the consolidation of market research, statistical normalization, and technical analysis methodologies. This script does not represent an official financial index and is not affiliated with the original data institutions. It is intended solely as an educational and analytical tool for visualizing long-term trends in the Buenos Aires, Argentina residential real estate market.
Indicador Pine Script®
por mitchfm
RLPS -Simplified Long-Term Support/Resistance Levels (Shelters)// Introduction // RLPS (Simplified Long-Term Shelters) is a streamlined indicator designed for traders who have already identified the preponderant long-term phase of their assets and want to efficiently track multiple assets using pre-calculated Fibonacci levels. IMPORTANT: Before using this indicator, you need to have determined the date-price coordinates of the preponderant phase (i0→i1 pivots) for your asset(s). These coordinates can be obtained using our master RLP indicator (Long-Term Shelters), which automatically helps to calculates them, or through your own research and analysis. // Theoretical Foundation // Many traditional institutional investors use the latest higher-degree market phase that stands out from others (longest duration and greatest price change on daily timeframe) to base a Fibonacci retracement on whose levels they open long-term positions. These positions can remain open to be activated in the future even years in advance. The phase is considered valid until a new, more preponderant phase develops over time. RLPS allows you to manually input these pre-identified phase coordinates and draw Fibonacci levels that serve as Long-Term Shelter Levels—marking future trading points (entries, exits, risk management) that remain valid for months and even years. // Key Features // • Supports up to 5 different assets with permanently stored phase coordinates • Dropdown selector to quickly switch between configured assets • No ZigZag calculation required—user provides pre-calculated coordinates • Timeframe-agnostic: levels remain constant across all timeframes • Works with any price source (exchange) regardless of historical data availability • Asset Information table with visual validation (✅ Match / ❌ No Match) • Long-Term Historical Prices (LTHP): add up to 5 psychological price levels per asset (historical highs/lows, annual opening prices, etc.) • Customizable Fibonacci levels, colors, styles, and label formatting • Logarithmic scale support for volatile assets like cryptocurrencies // Quick Start Guide // STEP 1: In TradingView, select "Bitcoin / U.S. dollar" from Bitstamp Exchange (BITSTAMP:BTCUSD). STEP 2: Configure the chart to Daily (D) timeframe. STEP 3: Load the RLPS indicator. Initially no drawing appears (fields are empty by default). STEP 4: Open indicator settings and activate "Practice Asset Data Table" in the GENERAL section. STEP 5: A table appears with sample data for 5 assets. Locate "Bitcoin on Bitstamp": - i0 Date: 2020-03-13 18:00 | i0 Price: 3850.0 - i1 Date: 2021-11-10 18:00 | i1 Price: 69000.0 STEP 6: Copy this data to "ASSET 1 - IDENTIFICATION AND DATE-PRICE PIVOT COORDINATES". STEP 7: Verify "Asset 1" is selected in the dropdown and close settings. STEP 8: You should now see the yellow diagonal phase line, horizontal Fibonacci levels, and the validation table showing "✅ Match". STEP 9: Navigate the chart to verify how Fibonacci levels align with historical support/resistance zones. // Important Notes // • The sample data in the Practice Table was validated in 02/2026 and serves as reference only. • It is your responsibility to validate or update the preponderant phase of your assets over time. • Use our master RLP indicator to automatically find and calculate preponderant phases, then transfer the coordinates here for permanent tracking. • You can deactivate the Practice Table once you've copied the data you need. // Shelter Indicators Ecosystem // RLPS is part of a comprehensive ecosystem of indicators for price action analysis based on shelter levels: RLPS (Simplified Long-Term Shelters): This indicator. Simplified version of RLP that allows manual input of previously identified preponderant phase coordinates. Ideal for permanent operations with multiple assets across different timeframes. RLP (Long-Term Shelters): Automatically identifies the preponderant Zigzag phase that institutional investors use as a reference to project Fibonacci levels. These levels determine order placement over the following months and years. RMP (Mid-Term Shelters): Provides the psychological shelter and resistance levels that institutional investors establish at the beginning of each year. These form the main framework that professionals use to plan entry and exit operations throughout the year. RS (Weekly Shelters): Tactical structural analysis indicator designed to precisely track price action and manage positions during current weeks. RID (Intra-Day Shelters): For intraday operations based on levels calculated from the daily opening price. Designed for 1H timeframes or lower, including scalping strategies. By combining RLPS, RLP, RMP, RS, and RID, you obtain a multi-timeframe framework that provides certainty and clarity to apply strategies grounded in price action, across any time horizon: from scalping to long-term investments. // Final Notes // We sincerely regret to inform you that we have not included the Spanish translation previously provided in our indicators, due to our significant concern regarding the ambiguous rules on publication bans related to indicators. Sharing motivates. Happy hunting in this great jungle!
Indicador Pine Script®
por Masewal_aj_p_oolom
Greer EPS Yield📘 Script Title Greer EPS Yield – Valuation Insight Based on Earnings Productivity 🧾 Description Greer EPS Yield is a valuation-focused indicator from the Greer Financial Toolkit, designed to evaluate how efficiently a company generates earnings relative to its current stock price. This script calculates the Earnings Per Share Yield (EPS%), using the formula: EPS Yield (%) = Earnings Per Share ÷ Stock Price × 100 This yield metric provides a quick snapshot of valuation through the lens of profitability per share. It dynamically highlights when the EPS yield is: 🟢 Above its historical average (potentially undervalued) 🔴 Below its historical average (potentially overvalued) 🔍 Use Case Quickly assess valuation attractiveness based on earnings yield. Identify potential buy opportunities when EPS% is above its long-term average. Combine with other indicators in the Greer Financial Toolkit for a fundamentals-driven investment strategy: 📘 Greer Value – Tracks year-over-year growth consistency across six key metrics 📊 Greer Value Yields Dashboard – Visualizes valuation-based yield metrics 🟢 Greer BuyZone – Highlights long-term technical buy zones 🛠️ Inputs & Data Uses fiscal year EPS data from TradingView’s built-in financial database. Tracks a static average EPS Yield to compare current valuation to historical norms. Clean, intuitive visual with automatic color coding. ⚠️ Disclaimer This tool is for educational and informational purposes only and should not be considered financial advice. Always conduct your own research before making investment decisions.
Indicador Pine Script®
por controllinghand
On Balance Volume - Color Packed Patch'emOBV is provided as a built-in by TradingView. This contribution grew out of reading about trend discovery, and since the library kept on this end was lacking in a volume-centric indicator, it looked like a good time to play around. This approach isn't all that much different than many others with the possible exception of its color scheme. Should you decide to use the script, it might be worth your while to work with the logic of color and line, to produce alerts. Enjoy.
Indicador Pine Script®
por latticephreak
Bitcoin 2-Year MA Multiplier by GodtrixHi guys, I found this tool very useful and accurate, but can't find it on Trading View, so I made one for myself and everyone here ;) Alert is available too. Indicator Overview The 2-Year MA Multiplier is intended to be used as a long term investment tool. It highlights periods where buying or selling Bitcoin during those times would have produced outsized returns. To do this, it uses a moving average (MA) line, the 2yr MA, and also a multiplication of that moving average line, 2yr MA x5. Note: the x5 multiplication is of the price values of the 2yr moving average, not of its time period. Buying Bitcoin when price drops below the 2yr MA (green line) has historically generated outsized returns. Selling Bitcoin when price goes above the 2yr MA x 5 (red line) has been historically effective for taking profit. Why This Happens As Bitcoin is adopted, it moves through market cycles. These are created by periods where market participants are over-excited causing the price to over-extend, and periods where they are overly pessimistic where the price over-contracts. Identifying and understanding these periods can be beneficial to the long term investor. This tool is a simple and effective way to highlight those periods. Credit to & Created By Philip Swift Date Created July 2017 BITSTAMP:BTCUSD
Indicador Pine Script®
por godtrix
28
Simple way to BEAT the market [STRATEGY]This script has been created to demonstrate the effectiveness of using market regime filters in your trading strategy, and how they can improve your returns and lower your drawdowns This strategy adds a simple filter (A historical volatility percentile filter, an implementation of which can be found on my trading profile) to a traditional buy and hold strategy of the index SPY. Note, There are other filters that could also be added including a long-term moving average/percentile rank filter/ADX filter etc, to improve the returns further. The filter closes our long position during periods of volatility that exceed the 95th percentile (or in the top 5% of volatile days) and buys back when the volatility is below 95% rank of the past 100 days Have included the backtest results since 1993 which is 28 years of data at the time of writing. Comparison of traditional buy and hold with this modified strategy can be found below: Traditional buy and hold: Return per year: 7.95 % (ex Dividends) Total return: 851.1 % Max drawdown: 50.79 % 'Modified' buy and hold (this script): Return per year: 9.92 % (ex Dividends) Total return: 1412.2 % Max drawdown: 31.57 % Feel free to use some of the market filters in my trading profile to improve and refine your strategies further, or make a copy and play around with the code yourself. This is just a simple example for demo purposes.
Estrategia Pine Script®
por TraderHalai
2
GBP/JPY Daily time FX Strategy ATR W% BaselineThis is a preety good strategy suited for long term trading. It has been adapted and optimized in this case for GBP/JPY 1D time frame. Its made of Kiojun baseline, together with ATR for stop loss and size calculation and Williams % R For the purpose of this example we simulate that we have a leverage of 100x in order to be able to buy the ammount of lots required for our stop loss to be in same page with the risk % of our capital. For entry we have for long, ascending R in the last 2 candles and crossover of close with KIOJUN baseline. For short the same but in reverse. We exit if we reach the TP -100 points in this example, or SL , which is based on ATR of the last x days. If you have any questions feel free to write me in private !
Estrategia Pine Script®
por SoftKill21
1
Long RSIThe RSI is a technical indicator generally used with the general setting being 14 days, and often shorter. The accepted view is that a level of 70 indicates overbought conditions, and 30 indicates oversold conditions. A short RSI setting will give signals quite often, and they might sometimes contradict each other. As a individual investor, perhaps with a background in fundamental analysis, the RSI might be overlooked for other fundamental metrics. But the idea here is that longer RSI settings can be used for investing. The problem that arises is how to know when the indicator has reached a level that is either overbought or oversold. This script solves that by using a specific look back period (selectable, but the standard is 1 year), and plotting the highest/lowest value that the RSI has had for that time period. The idea is that a buy signal occurs when the indicator is at a 'historic' low, and a sell signal occurs when it at its 'historic' high. Since you generally want to buy when the indicator is at its low, and has stopped decreasing, the script comes with a function that shows you when yesterdays value reached a historic low, but todays value is higher than yesterday. This is shown by a color change of the background to green. The same is true, but opposite, for sell signals and then the background turns red. THIS IS NOT TRADING ADVICE, AND YOU SHOULD ALWAYS DO YOUR OWN RESEARCH GOOD LUCK AND HAPPY TRADING
Indicador Pine Script®
por Felixmn
9
Low volatility Buy w/ TP & SL (Coinrule)The compression of volatility usually leads to expansion. When the breakout comes, it can ignite strong trends. One way to catch a coin trading in an accumulation area is to spot three moving averages with values close to each other. The strategy uses a combination of Moving Averages to spot the best time to buy a coin before its breakout. Buy Condition The MA200 is greater than the MA100 The MA50 is greater than the MA100 According to backtesting results, the 1-hour time frame is the best to run this strategy. Sell Condition Take Profit: the price increases 8% from the entry price Stop Loss: the price drops 4% from the entry price The strategy has a profitability of 40-60% (depending on the market conditions). Having a ratio of two between Take profit and Stop Loss helps keeping the strategy profitable in the long term.
Estrategia Pine Script®
por Coinrule
Wilder's Volatility Trailing Stop Strategy with various MA'sFor Educational Purposes. Results can differ on different markets and can fail at any time. Profit is not guaranteed. This only works in a few markets and in certain situations. Changing the settings can give better or worse results for other markets. This strategy is based on Wilder's Volatility System. It is an ATR trailing stop that is used for long term trends. This strategy focuses on the trailing stop alone and goes long and short only when it goes above or below the trailing line. It is similar to Donchian channels except it does not include the certain period channel breakout, only the trailing signal. This is only the trailing stop and an attempt to show how well it works standalone as Wilder described. In his book, Wilder recommends a multiplier of 2.8-3.1 and an ATR lookback of 7 periods along with a running moving average or otherwise known as Wilder's moving average. The calculation and programming part for the trailing stop varies everywhere. I opted to keep it as simple and accurate as I could think of and interpret from the book. The variations to these types of indicators are numerous unfortunately, but Wilder seems to be the original author of ATR and this ATR-based trailing stop. In his book he says to use the significant closing price or highest/lowest closing price for the calculation part but I also included the option of choosing the highest high and lowest low, and the option to choose various moving averages in case anyone wants to experiment. Comparing this and Donchian channels, it seems that a 2.5 multiplier is somewhat similar to the middle band of DCs and a 3.0 multiplier is somewhat similar to a double length middle band of DCs. It's hard to say which is the better trailing stop for a long term strategy. It's hard to beat the simplicity of DCs but maybe some might find a need for more inputs in a trailing stop or maybe an ATR based one like Wilder's can work better depending on what setting or strategy it's used in.
Estrategia Pine Script®
por SparkyFlary
Reliability[UO]This is an SMA based indicator. It gives a sense of long term behavior of the asset to make a reliable trade setup How reliable is your asset to trade without gambling? Is there a reliable trend? Is this price dip an opportunity to buy? Is this price spike an opportunity to sell? Or would you avoid buying now and rather wait a bit for prices to fall down to a more reasonable level? You can recognize all of those points on this indicator. The best to do is to look at the prices and patterns on the indicator to learn about those points.
Indicador Pine Script®
por umur.ozkul
1
LONG TERM INVESTMENT TECHNICAL STRATEGY SCRIPT200 - WEEKLY MOVING AVERAGE GREEN LINE IS 200 WEEKS MOVING AVERAGE OF CLOSE BLUE LINE IS 200 WEEKS MOVING AVERAGE OF LOW MULTIPLIED BY 0.90 RED LINE IS 100 WEEKS MOVING AVERAGE OF CLOSE CONDITION: GREEN LINE SHOULD BE ABOVE RED LINE AND PRICE SHOULD BE ABOVE GREEN LINE BUY ONCE THE PRICE IS ABOVE GREEN LINE AND FULFILLS THE CONDITION. TARGET 1 FOR TIME FRAME 1 YEAR= 2 X GREEN LINE VALUE WHEN PRICE CROSSED IT TARGET 2 FOR TIME FRAME 3 YEARS= 3 X GREEN LINE VALUE WHEN PRICE CROSSED IT TARGET 3 FOR TIME FRAME 5 YEARS= 5 X GREEN LINE VALUE WHEN PRICE CROSSED IT TARGET 4 FOR TIME FRAME 10 YEARS= 10 X GREEN LINE VALUE WHEN PRICE CROSSED IT STOP LOSS IS TRAILING TO BLUE LINE
Estrategia Pine Script®
por ResearchWings
1
Simple RSI-MA Algo Beats DOW By Huge Margin Over Past 100 Years!This simple RSI-MA long/short algorithm beats the Dow by a FREAKING HUGE margin over the past century (excluding dividends and trading costs). The algorithm uses a fast SMA of the RSI as a buy/cover signal and a slow SMA of the RSI as a sell/short signal. Backtest period = 09/17/1916 - 11/02/2015 Dow = 98 --> 17,830 = +18,094% = 5.38% CAGR Algorithm = net profit + open P/L = +43,349% = 6.31% CAGR Notice how the algorithm dodged both the 30s' Great Depression and the 2008 Crisis. Pretty cool huh? :) ALGORITHM'S FORMULA (use weekly chart): Buy/Cover = MA10(RSI10) cross> 50 Sell/Short = MA50(RSI10) cross< 50 STRATEGY TESTER'S SETTINGS: - Initial cash = $10,000 - Pyramiding disabled - Re-investment enabled (order size = 100% of equity ) - Trade re-calculations disabled DISCLAIMER: None of my ideas and posts are investment advice. Past performance is not an indication of future results. This strategy was constructed with the benefit of hindsight and its future performance cannot be guaranteed.
Estrategia Pine Script®
por Stable_Camel
5