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Ichimoku with MACD/ CMF/ TSI This is a strategy made from ichimoku cloud , together with MACD, Chaiking Money FLOW and True Strenght Index. It can be adapted to any timeframe and any type of financial markets. The idea behind its very simple, We combine the long / short strategy from ichimoku, like cross between lines and below/above cloud together with histogram from MACD for positive/negative level. We use the same criteria for TSI and CMF, to check if its above or below 0 level. Based on that we have a long or a short entry. The exit happens when the next options triggers, like for example we had long signal, we exit when we receive the short signal and viceversa. It can be adapted with a risk management to apply a tp/sl level. For any suggestion or details , let me know.
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SoftKill21의
5
SMI Ergodic Oscillator Backtest ver.2 The SMI Ergodic Indicator is the same as the True Strength Index (TSI) developed by William Blau, except the SMI includes a signal line. The SMI uses double moving averages of price minus previous price over 2 time frames. The signal line, which is an EMA of the SMI, is plotted to help trigger trading signals. Adjustable guides are also given to fine tune these signals. The user may change the input (close), method (EMA), period lengths and guide values. You can use in the xPrice any series: Open, High, Low, Close, HL2, HLC3, OHLC4 and ect... WARNING: - For purpose educate only
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HPotter의
2
SMI Ergodic Oscillator Strategy ver.2 The SMI Ergodic Indicator is the same as the True Strength Index (TSI) developed by William Blau, except the SMI includes a signal line. The SMI uses double moving averages of price minus previous price over 2 time frames. The signal line, which is an EMA of the SMI, is plotted to help trigger trading signals. Adjustable guides are also given to fine tune these signals. The user may change the input (close), method (EMA), period lengths and guide values. You can use in the xPrice any series: Open, High, Low, Close, HL2, HLC3, OHLC4 and ect... WARNING: - For purpose educate only
Pine Script™ 전략
HPotter의
SMI Ergodic Oscillator Backtest The SMI Ergodic Indicator is the same as the True Strength Index (TSI) developed by William Blau, except the SMI includes a signal line. The SMI uses double moving averages of price minus previous price over 2 time frames. The signal line, which is an EMA of the SMI, is plotted to help trigger trading signals. Adjustable guides are also given to fine tune these signals. The user may change the input (close), method (EMA), period lengths and guide values. You can use in the xPrice any series: Open, High, Low, Close, HL2, HLC3, OHLC4 and ect... You can change long to short in the Input Settings WARNING: - For purpose educate only - This script to change bars colors.
Pine Script™ 전략
HPotter의
SMI Ergodic Oscillator Strategy The SMI Ergodic Indicator is the same as the True Strength Index (TSI) developed by William Blau, except the SMI includes a signal line. The SMI uses double moving averages of price minus previous price over 2 time frames. The signal line, which is an EMA of the SMI, is plotted to help trigger trading signals. Adjustable guides are also given to fine tune these signals. The user may change the input (close), method (EMA), period lengths and guide values. You can use in the xPrice any series: Open, High, Low, Close, HL2, HLC3, OHLC4 and ect... WARNING: - This script to change bars colors.
Pine Script® 인디케이터
HPotter의
Ergotic TSI Strategy r - Length of first EMA smoothing of 1 day momentum s - Length of second EMA smoothing of 1 day smoothing u- Length of third EMA smoothing of 1 day momentum Length of EMA signal line This is one of the techniques described by William Blau in his book "Momentum, Direction and Divergence" (1995). If you like to learn more, we advise you to read this book. His book focuses on three key aspects of trading: momentum, direction and divergence. Blau, who was an electrical engineer before becoming a trader, thoroughly examines the relationship between price and momentum in step-by-step examples. From this grounding, he then looks at the deficiencies in other oscillators and introduces some innovative techniques, including a fresh twist on Stochastics. On directional issues, he analyzes the intricacies of ADX and offers a unique approach to help define trending and non-trending periods. You can use in the xPrice any series: Open, High, Low, Close, HL2, HLC3, OHLC4 and ect...
Pine Script® 인디케이터
HPotter의
4
Ergotic TSI r - Length of first EMA smoothing of 1 day momentum s - Length of second EMA smoothing of 1 day smoothing u- Length of third EMA smoothing of 1 day momentum Length of EMA signal line This is one of the techniques described by William Blau in his book "Momentum, Direction and Divergence" (1995). If you like to learn more, we advise you to read this book. His book focuses on three key aspects of trading: momentum, direction and divergence. Blau, who was an electrical engineer before becoming a trader, thoroughly examines the relationship between price and momentum in step-by-step examples. From this grounding, he then looks at the deficiencies in other oscillators and introduces some innovative techniques, including a fresh twist on Stochastics. On directional issues, he analyzes the intricacies of ADX and offers a unique approach to help define trending and non-trending periods. You can use in the xPrice any series: Open, High, Low, Close, HL2, HLC3, OHLC4 and ect...
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HPotter의
CT Reverse True Strength Indicator On ChartIntroducing the Caretakers “On Chart” Reverse True Strength Index. According to Wikipedia…. “The True Strength Index (TSI) is a technical indicator used in the analysis of financial markets that attempts to show both trend direction and overbought/oversold conditions. It was first published William Blau in 1991. The indicator uses moving averages of the underlying momentum of a financial instrument. Momentum is considered a leading indicator of price movements, and a moving average characteristically lags behind price. The TSI combines these characteristics to create an indication of price and direction more in sync with market turns than either momentum or moving average.” The TSI has a normal range of values between +100 and -100. Traditionally traders and analysts will consider: Positives values above 25 to indicate an “overbought” condition Negative values below -25 to indicate an “oversold” condition I have reverse engineered the True Strength Index formula to derive 2 new functions. 1) The reverse TSI function is dual purpose which can be used to calculate…. The chart price at which the TSI will reach a particular TSI scale value. The chart price at which the TSI will equal its previous value. 2) The reverse TSI signal cross function can be used to calculate the chart price at which the TSI will cross its signal line. I have employed these functions here to return the price levels where the True Strength Index would equal : Upper alert level ( default 25 ) Zero-Line Lower alert level ( default -25 ) Previous TSI (eq) value TSI signal line In this “On Chart” version of the reverse True Strength Index the crossover levels are displayed both as lines on the chart and via an optional info-box with choice of user selected info. Chart Line Colors Upper alert level... ( Fuchsia ) Zero-Line............ ( White ) Lower alert level... ( Aqua ) TSI (eq)...............( TSI (eq) > close..Orange, TSI (eq) < close..Lime ) TSI signal line........( Signal Cross Line > Close..Aqua, Signal Cross Line < Close..Fuchsia ) How to interpret the displayed prices returned from the TSI scale zero line and upper and lower alert levels. Closing exactly at the given price will cause the True Strength Index value to equal the scale value. Closing above the given price will cause the True Strength Index to cross above the scale value. Closing below the given price will cause the True Strength Index to cross below the scale value. How to interpret the displayed price returned from the TSI (eq) Closing exactly at the price will cause the True Strength Index value to equal the previous TSI value. Closing above the price will cause the True Strength Index value to increase. Closing below the price will cause the True Strength Index value to decrease. How to interpret the displayed price returned from the TSI signal line crossover. Closing exactly at the given price will cause the True Strength Index value to equal the signal line. Closing above the given price will cause the True Strength Index to cross above the signal line. Closing below the given price will cause the True Strength Index to cross below the signal line. Common methods to derive signals from the TSI : Zero-line crossovers When the CMO crosses above the zero-line, a buy signal is generated. When the CMO crosses below the zero-line, a sell signal is generated. “Overbought” and “Oversold” crossovers When the SMI crosses below -25 and then moves back above it, a buy signal is generated. When the SMI crosses above +25 and then moves back below it, a sell signal is generated. What Does the True Strength Index (TSI) Tell You? The indicator is primarily used to identify overbought and oversold conditions in an asset's price, spot divergence, identify trend direction and changes via the zero-line, and highlight short-term price momentum with signal line crossovers. Since the TSI is based on price movements, oversold and overbought levels will vary by the asset being traded. Some stocks may reach +30 and -30 before tending to see price reversals, while another stock may reverse near +20 and -20. Mark extreme TSI levels, on the asset being traded, to see where overbought and oversold is. Being oversold doesn't necessarily mean it is time to buy, and when an asset is overbought it doesn't necessarily mean it is time to sell. Traders will typically watch for other signals to trigger a trade decision. For example, they may wait for the price or TSI to start dropping before selling in overbought territory. Alternatively, they may wait for a signal line crossover. Signal Line Crossovers The true strength index has a signal line, which is usually a seven- to 13-period EMA of the TSI line. A signal line crossover occurs when the TSI line crosses the signal line. When the TSI crosses above the signal line from below, that may warrant a long position. When the TSI crosses below the signal line from above, that may warrant selling or short selling. Signal line crossovers occur frequently, so should be utilized only in conjunction with other signals from the TSI. For example, buy signals may be favoured when the TSI is above the zero-line. Or sell signals may be favoured when the TSI is in overbought territory. Zero-line Crossovers The zero-line crossover is another signal the TSI generates. Price momentum is positive when the indicator is above zero and negative when it is below zero. Some traders use the zero-line for a directional bias. For example, a trader may decide only to enter a long position if the indicator is above its zero-line. Conversely, the trader would be bearish and only consider short positions if the indicator's value is below zero. Breakouts and Divergence Traders can use support and resistance levels created by the true strength index to identify breakouts and price momentum shifts. For instance, if the indicator breaks below a trendline, the price may see continued selling. Divergence is another tool the TSI provides. If the price of an asset is moving higher, while the TSI is dropping, that is called bearish divergence and could result in a downside price move. If the TSI is rising while the price is falling, that could signal higher prices to come. This is called bullish divergence. Divergence is a poor timing signal, so it should only be used in conjunction with other signals generated by the TSI or other technical indicators. The Difference Between the True Strength Index (TSI) and the Moving Average Convergence Divergence (MACD) Indicator. The TSI is smoothing price changes to create a technical oscillator. The moving average convergence divergence (MACD) indicator is measuring the separation between two moving averages. Both indicators are used in similar ways for trading purposes, yet they are not calculated the same and will provide different signals at different times. The Limitations of Using the True Strength Index (TSI) Many of the signals provided by the TSI will be false signals. That means the price action will be different than expected following a trade signal. For example, during an uptrend, the TSI may cross below the zero-line several times, but then the price proceeds higher even though the TSI indicates momentum has shifted down. Signal line crossovers also occur so frequently that they may not provide a lot of trading benefit. Such signals need to be heavily filtered based on other elements of the indicator or through other forms of analysis. The TSI will also sometimes change direction without price changing direction, resulting in trade signals that look good on the TSI but continue to lose money based on price. Divergence also tends to unreliable on the indicator. Divergence can last so long that it provides little insight into when a reversal will actually occur. Also, divergence isn't always present when price reversals actually do occur. The TSI should only be used in conjunction with other forms of analysis, such as price action analysis and other technical indicators. This is not financial advice, use at your own risk.
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The_Caretaker의
1
CT Reverse True Strength IndicatorIntroducing the Caretakers Reverse True Strength Index. According to Wikipedia…. “The True Strength Index (TSI) is a technical indicator used in the analysis of financial markets that attempts to show both trend direction and overbought/oversold conditions. It was first published William Blau in 1991. The indicator uses moving averages of the underlying momentum of a financial instrument. Momentum is considered a leading indicator of price movements, and a moving average characteristically lags behind price. The TSI combines these characteristics to create an indication of price and direction more in sync with market turns than either momentum or moving average.” The TSI has a normal range of values between +100 and -100. Traditionally traders and analysts will consider: Positives values above 25 to indicate an “overbought” condition Negative values below -25 to indicate an “oversold” condition I have reverse engineered the True Strength Index formula to derive 2 new functions. The reverse TSI function is dual purpose which can be used to calculate…. The chart price at which the TSI will reach a particular TSI scale value. The chart price at which the TSI will equal its previous value. The reverse TSI signal cross function can be used to calculate the chart price at which the TSI will cross its signal line. I have employed these functions here to return the price levels where the True Strength Index would equal : Upper alert level ( default 25 ) Zero-Line Lower alert level ( default -25 ) Previous TSI (eq) value. TSI signal line These crossover levels are displayed via an optional info-box with choice of user selected info. How to interpret the displayed prices returned from the TSI scale zero line and upper and lower alert levels. Closing exactly at the given price will cause the True Strength Index value to equal the scale value. Closing above the given price will cause the True Strength Index to cross above the scale value. Closing below the given price will cause the True Strength Index to cross below the scale value. How to interpret the displayed price returned from the TSI (eq) Closing exactly at the price will cause the True Strength Index value to equal the previous TSI value. Closing above the price will cause the True Strength Index value to increase. Closing below the price will cause the True Strength Index value to decrease. How to interpret the displayed price returned from the TSI signal line crossover. Closing exactly at the given price will cause the True Strength Index value to equal the signal line. Closing above the given price will cause the True Strength Index to cross above the signal line. Closing below the given price will cause the True Strength Index to cross below the signal line. Common methods to derive signals from the TSI : Zero-line crossovers When the CMO crosses above the zero-line, a buy signal is generated. When the CMO crosses below the zero-line, a sell signal is generated. “Overbought” and “Oversold” crossover When the SMI crosses below -25 and then moves back above it, a buy signal is generated. When the SMI crosses above +25 and then moves back below it, a sell signal is generated. What Does the True Strength Index (TSI) Tell You? The indicator is primarily used to identify overbought and oversold conditions in an asset's price, spot divergence, identify trend direction and changes via the zero-line, and highlight short-term price momentum with signal line crossovers. Since the TSI is based on price movements, oversold and overbought levels will vary by the asset being traded. Some stocks may reach +30 and -30 before tending to see price reversals, while another stock may reverse near +20 and -20. Mark extreme TSI levels, on the asset being traded, to see where overbought and oversold is. Being oversold doesn't necessarily mean it is time to buy, and when an asset is overbought it doesn't necessarily mean it is time to sell. Traders will typically watch for other signals to trigger a trade decision. For example, they may wait for the price or TSI to start dropping before selling in overbought territory. Alternatively, they may wait for a signal line crossover. Signal Line Crossovers The true strength index has a signal line, which is usually a seven- to 13-period EMA of the TSI line. A signal line crossover occurs when the TSI line crosses the signal line. When the TSI crosses above the signal line from below, that may warrant a long position. When the TSI crosses below the signal line from above, that may warrant selling or short selling. Signal line crossovers occur frequently, so should be utilized only in conjunction with other signals from the TSI. For example, buy signals may be favoured when the TSI is above the zero-line. Or sell signals may be favoured when the TSI is in overbought territory. Zero-line Crossovers The zero-line crossover is another signal the TSI generates. Price momentum is positive when the indicator is above zero and negative when it is below zero. Some traders use the zero-line for a directional bias. For example, a trader may decide only to enter a long position if the indicator is above its zero-line. Conversely, the trader would be bearish and only consider short positions if the indicator's value is below zero. Breakouts and Divergence Traders can use support and resistance levels created by the true strength index to identify breakouts and price momentum shifts. For instance, if the indicator breaks below a trendline, the price may see continued selling. Divergence is another tool the TSI provides. If the price of an asset is moving higher, while the TSI is dropping, that is called bearish divergence and could result in a downside price move. If the TSI is rising while the price is falling, that could signal higher prices to come. This is called bullish divergence. Divergence is a poor timing signal, so it should only be used in conjunction with other signals generated by the TSI or other technical indicators. The Difference Between the True Strength Index (TSI) and the Moving Average Convergence Divergence (MACD) Indicator. The TSI is smoothing price changes to create a technical oscillator. The moving average convergence divergence (MACD) indicator is measuring the separation between two moving averages. Both indicators are used in similar ways for trading purposes, yet they are not calculated the same and will provide different signals at different times. The Limitations of Using the True Strength Index (TSI) Many of the signals provided by the TSI will be false signals. That means the price action will be different than expected following a trade signal. For example, during an uptrend, the TSI may cross below the zero-line several times, but then the price proceeds higher even though the TSI indicates momentum has shifted down. Signal line crossovers also occur so frequently that they may not provide a lot of trading benefit. Such signals need to be heavily filtered based on other elements of the indicator or through other forms of analysis. The TSI will also sometimes change direction without price changing direction, resulting in trade signals that look good on the TSI but continue to lose money based on price. Divergence also tends to unreliable on the indicator. Divergence can last so long that it provides little insight into when a reversal will actually occur. Also, divergence isn't always present when price reversals actually do occur. The TSI should only be used in conjunction with other forms of analysis, such as price action analysis and other technical indicators. This is not financial advice, use at your own risk.
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The_Caretaker의
20
Wolf Exit Oscillator Enhanced # Wolf Exit Oscillator Enhanced ## What it is (quick take) **Wolf Exit Oscillator Enhanced** is a clean, rules-first **exit timing tool** built on the **True Strength Index (TSI)** with two optional safeguards: 1. **Signal-line crossover** (to avoid bailing on shallow dips), and 2. **EMA confirmation** (price-based “is the trend actually weakening/strengthening?” check). Use it to standardize when you **take profits, cut losers, or scale out**—especially after momentum runs hot or cold. > Works best **paired** with: > > * **ABS NR — Fail-Safe Confirm (v4.2.2)** for entries > * **ABS Companion Oscillator — Trend / Exhaustion / New Trend** for trend/exhaustion context --- ## How to use it (operational workflow) 1. **Set your bands** * `exitHigh` and `exitLow` mark “overcooked” zones on the TSI scale (default: +60 / –60). * Above `exitHigh` = momentum stretched **up** (good place to **exit shorts** or **take long profits**). * Below `exitLow` = momentum stretched **down** (good place to **exit longs** or **take short profits**). 2. **Choose strictness** * **Base mode**: the moment TSI crosses out of a band, you get an exit signal. * **Add Signal-Line Cross** (`enableSignalX = true`): require TSI to cross its signal in the same direction → **fewer, cleaner exits**. * **Add EMA Filter** (`enableEMAFilter = true`): also require **price** to confirm (e.g., long exit only if price < EMA). This avoids bailing during healthy trends. 3. **Execute with structure** * **Full exit** when a signal fires, or * **Scale out** (e.g., 50% on first signal, remainder on trail/secondary signal), or * **Move stop** to lock gains once an exit signal prints. 4. **Alerts** * Set to **“Once per bar close”** to avoid intrabar flip-flop. * Use the two provided alert names for automation (see “Alerts” below). --- ## Signals & visuals * **TSI line** (solid) and **Signal line** (dashed) with optional **histogram** (TSI − Signal). * **Horizontal bands** at `exitHigh` and `exitLow`. * **Labels**: * **Exit Long** appears when long-side momentum breaks down (below `exitLow`, plus any enabled filters). * **Exit Short** appears when short-side momentum breaks down (above `exitHigh`, plus any enabled filters). **Alerts (stable names):** * **WolfExit — Exit Long** * **WolfExit — Exit Short** --- ## Non-repainting behavior (what to expect) * The oscillator is computed with **EMAs on current timeframe**—no higher-timeframe lookahead, no repaint. * **Intrabar**: TSI/Signal can fluctuate; use **bar-close evaluation** (and alert setting “Once per bar close”) to lock signals. * If you enable the EMA filter, that check is also evaluated at bar close. --- ## Every input explained (and how changing it alters behavior) ### Momentum engine (TSI) * **TSI Long EMA Length (`tsiLongLen`, default 25)** Higher = smoother, slower momentum; fewer signals. Lower = twitchier, more signals. * **TSI Short EMA Length (`tsiShortLen`, default 13)** Fine-tunes responsiveness on top of the long length. Lower short → snappier TSI. * **TSI Signal Line Length (`tsisigLen`, default 7)** Higher = slower signal line (harder to cross) → fewer signals. Lower = easier crosses → more signals. ### Thresholds (the bands) * **Exit Threshold High (`exitHigh`, default +60)** Raise to demand **stronger** overbought before signaling short exits / long profit-takes. Lower to trigger sooner. * **Exit Threshold Low (`exitLow`, default −60)** Raise (toward 0) to trigger **earlier** on longs; lower (more negative) to wait for deeper downside stretch. ### Confirmation layers * **Require Signal Line Crossover (`enableSignalX`, default true)** On = TSI must cross its signal (same direction as exit) → **filters out shallow wiggles**. Off = faster, more frequent exits. * **Enable EMA Confirmation Filter (`enableEMAFilter`, default true)** On = require **price < EMA** for **Exit Long** and **price > EMA** for **Exit Short**. * **EMA Exit Confirmation Length (`exitEMALen`, default 50)** Higher = **trendier** filter (harder to flip) → fewer exits; Lower = more reactive → more exits. ### Visuals * **Show Histogram (`showHist`)** On = quick visual for TSI–Signal spread (helps spot weakening momentum before a cross). * **Plot Exit Signals (`showSignals`)** Toggle labels if you only want the lines/bands with alerts. --- ## Tuning recipes (quick, practical) * **Strong trend days (avoid premature exits)** * Keep **`enableSignalX = true`** and **`enableEMAFilter = true`** * Increase **`exitEMALen`** (e.g., 80) * Consider raising **`exitHigh`** to 65–70 (and lowering **`exitLow`** to −65/−70) * **Choppy/range days (exit faster, take the cash)** * **`enableEMAFilter = false`** (don’t wait for price filter) * **`enableSignalX`** optional; try off for quicker responses * Bring bands closer to **±50** to take profits earlier * **Scalping / lower timeframes** * Shorten **TSI lengths** a bit (e.g., 21/9/5) * Consider **`exitHigh=55 / exitLow=-55`** * Keep **histogram on** to visualize momentum flip risk * **Swing trading / higher timeframes** * Lengthen **TSI** (e.g., 35/21/9) and **`exitEMALen`** (e.g., 100) * Wider bands (±65 to ±75) to catch bigger moves before exiting --- ## Playbooks (how to actually trade it) * **Entry from ABS NR FS, exit with Wolf** * Take entries from **ABS NR — Fail-Safe Confirm** (triangle). * Use **Wolf Exit** to scale out: 50% on first exit label, trail remainder with price/EMA or your stop logic. * **Pyramid & protect** * Add on re-accelerations (TSI pulls back toward zero without breaching the opposite band). * The first **Exit** signal → take partial, raise stop to last higher low / lower high. * **Mean-reversion fade management** * When fading with ABS NR (KC band pokes + stretched |Z|), target the first opposite **Exit** signal as your “don’t overstay” cue. --- ## Suggested starting points * **Day trading (5–15m):** * TSI: **25 / 13 / 7** (default) * Bands: **+60 / −60** * Confirmations: **SignalX = on**, **EMA Filter = on**, **EMA Len = 50** * Alerts: **Once per bar close** * **Scalping (1–3m):** * TSI: **21 / 9 / 5** * Bands: **±55** * Confirmations: **SignalX = on**, **EMA Filter = off** (optional for speed) * **Swing (1h–D):** * TSI: **35 / 21 / 9** * Bands: **+65 / −65** (or ±70) * Confirmations: **SignalX = on**, **EMA Filter = on**, **EMA Len = 100** --- ## Best-practice pairings * **Entries:** **ABS NR — Fail-Safe Confirm (v4.2.2)** * Take ABS triangles; let Wolf standardize exits so you’re not guessing. * **Context:** **ABS Companion Oscillator** * Prefer holding longer when the companion stays above (for longs) or below (for shorts) its neutral band and **no EXH tag** prints. * If companion flags **EXH** against your position, tighten stops; Wolf’s next exit signal becomes high priority. --- ## Notes & disclaimers * This is an **exit signal tool**, not a strategy or broker. * Signals are strongest when aligned with your **entry logic** and a **risk framework** (position sizing, stops, partials). * All evaluations are **current timeframe**; no higher-timeframe lookahead is used. * Markets change—tune the bands and confirmations per symbol/timeframe. --- **Tip:** Keep your alerts simple—one for **Exit Long**, one for **Exit Short**, **Once per bar close**. Use partial exits on the first signal, and let your stop/trailing logic handle the rest.
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jensenvilhelm의