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Relative Falling three Methods IndicatorAbstract This script measure the related speed between rising and falling. This script can replace binary Falling Three Methods detector and, report continuous value and estimate potential trend direction. My suggestion of using this script is combining it with trading emotion. Introduction Falling Three Methods (F3M) is a candlestick pattern. Many trading courses say traders can regard it as predicting falling will continue. However, it is not easy to see perfect Falling Three Methods pattern from charts. Therefore, we need an alternative method to measure it. We can use the observation that falling is faster than rising during those time. When falling is faster than rising, some long ( buy , call , higher , upper ) position owners may worry the price will fall very much suddenly. When rising is faster than falling, some traders may worry they may miss buy opportunities. Computing Related Falling Three Methods Indicator (1) The value of rising and falling In this script, open price is replaced with previous close price. If the previous price is equal to the close price, than both rising and falling are equal to high-low. If the previous price is lower than the close price, than the falling value becomes smaller, high-close+previous-low. If the previous price is higher than the close price, than the rising value becomes smaller, high-previous+close-low. (2) Area of value (aov) Area of value is equal to highest-lowest. The previous close price is included. (3) Compute weight and filter noise We need a threshold for the noise filter. The default setting is aov/length, where length means how many days are counted. When a rising or falling value <= threshold, it is not counted. When a rising or falling value > threshold, the counted value = original value - threshold and its weight = min ( counted value , threshold ) (4) compute speed Rising speed = sum ( counted rising value ) / sum ( rising weight ) Falling speed = sum ( counted falling value ) / sum ( falling weight ) (5) Final result Final result = Rising speed / ( Rising speed + Falling speed ) * 100 - 50 I move the middle level to 0 because 0 axis is always visible unless you cannot see negative values or you cannot see positive values. Parameters Length : how many days are counted. The default value is 16 just because 16=4*4, using binary characteristic. Multi : the multiplier of noise threshold. Threshold applied = default threshold * multi src : current not used Conclusion Related Falling Three Methods Indicator can measure the related speed between rising and falling. I hope this indicator can help us to evaluate the possibility of trend continue or reversal and potential breakout direction. After all, we care how trading emotion control the price movement and therefore we can take advantage to it. Reference How to trade with Falling Three Methods pattern How to trade with Related Strength Indicator
Pine Script®指标
由clocks156t174提供
DePriExchange weighted price for cryptocurrencies DECENTRALIZED PRICE CHART FOR DECENTRALIZED WORLD See non-manipulated , globally price action that comes from whole liquidity! The main idea behind this script is that... The value of each trading pair finally determined globally and the price displayed in exchanges is its own and not global! differences between exchanges, reduced to near zero gradually by market makers and arbitrages, so.. Every min tick price changes Must be backed by liquidity to be part of the global fluctuations more liquidity gives it more credibility more credibility give it more weight ..Against opposing movements. This script can collect price of crypto pairs from 12 exchanges that listed on TV and have effective volume. In the first step, summarizes the volume of all exchanges and creates the total volume In the next step, divide each exchange volume to total volume to obtain relative weight of each exchange. In the final step, multiply each exchange price to weight of itself and summarizes these numbers .. now, we have Exchange weighted price! The results on high liquidity pairs like BTCUSDT, ETHUSDT, is not much differ then simple chart but when you apply it on lower liquidity, lower time frames of altcoins, you realize its benefits and usefulness. Altcoins chart in composite and simple mode is very differ, I hope you enjoy from TRUE CHART. With this, also you can.. Filter and smooth candlestick chart with SMA or EMA Plot a line chart of pair at your desired frame separate from the main chart for monitor important price levels Get realtime report of whole volume of pair on included exchanges Get realtime report of each exchange weight and share Note.1: some of pairs queted on more than one like BTCUSD, BTCUSDT, BTCUSDC and etc. In this pairs we choose the one that usually has more volume on that exchange. Note.2: At this time, supported queted currencies are BTC, ETH, USD, USDT, BUSD, USDC, USDK. Note.3: This script is relatively heavy! This is not cuz of bad coding. Each bar compution contains at least one plot and some of security calls, so 10 to 15 seconds is normal load time. Note.4: You can combine this with your price action base scripts and use balanced OHLCV. The necessary explanations about this are available in the code. Note.5: You must only include exchanges that support your ticker, Otherwise you will receive an error. I hope it comes useful to you.
Pine Script®指标
由Algorca提供
3
Retrospective Candlestick ChartWhen i was in Japan with some traders colleagues we talked about traditional charting tools from this country and how they changed the way we look at our charts today. Then suddenly one of the japanese traders i have met earlier said "Why not making another charting tool ? Smoother than Heikin-Ashi and including all the information a trader may need but easier to interpret". So i had the idea of averaging the input and the output of the respective close / open / high and low price using a recursive exponential window functions, each values will be closer to their true value if they are volatile, if they are not then those values will look smoother, the length input represents the reactivity of the candles, high values represents smoother results but less reactive.The goal of those candles is to make all the information easier to interpret by a trader. 500 input length , the price look smoother, supports and resistances are easier to make. The interpretation of highs and lows are important, the Retrospective Candlestick Chart save you time by showing only huge movements.
Pine Script®指标
由alexgrover提供
8
Price Action Doji Harami v0.2 by JustUncleLThis is an updated and final version of this indicator. This version distinguishes between the true Harami and the other Doji candlestick patterns as used with the Heikin Ashi candle charts. These candle patterns indicate a potential trend reversal or pullback. The patterns identified are: - Bearish Harami (Red Highlight above Bar): One to three (default 3) large body Bull (green) candles followed by a small (red) or no body candle (less than 0.5pip) with wicks top and bottom that are at least 60% of candle. - Bullish Harami (Green Highlight below Bar): One to three (default 3) large body Bear (red) candles followed by a small (green) or no body candle (less than 0.5pip) with wicks top and bottom that are at least 60% of candle. - Bearish Doji (Fuchsia Highlight above Bar): One to three (default 3) large body Bull (green) candles followed by a small (green) with wicks top and bottom that are at least 60% of candle. - Bullish Doji (Aqua Highlight below Bar): One to three (default 3) large body Bear (red) candles followed by a small (red) with wicks top and bottom that are at least 60% of candle. You can optionally specify how large the candles prior to Harami/Doji are in pips, default is 0 pip. If you set this to zero then it will have no candle size consideration. You can also specify how many look back candles (1-3) are used in Harami/Doji calculations (default 3). Included option to perform Calculations purely on Heikin Ashi candles, this helps when you want to see the HA Doji/Harami bars with the normal candle stick chart. Also can optionally set an alert condition for when Harami/Doji found, this also displays a circle on the bottom of the screen when alert is triggered.
Pine Script®指标
由JustUncleL提供
28
Adaptive Ergodic Candlestick Oscillator [LazyBear]This updates Blau's excellent Candlestick oscillator to be adaptive by using the length of a scaled stochastic indicator and an exponent (for calculating the smoothing coefficient) to obtain the moving average. Check out the options page for configurable variables. More info on Ergodic Oscillator: Book: "Momentum, Direction and Divergence" by William Blau List of my public indicators: bit.ly List of my app-store indicators: blog.tradingview.com
Pine Script®指标
由LazyBear提供
12
Binary Option Arrows (example) [TheMightyChicken]An example of binary option arrows for candlestick patterns bearish and bullish harami. With results as colored background and an option to choose your expiration (one candle by default). It's just an example for those who has their own strategy and wants to make nice arrows in their chart. All you need to do is rewrite piece of script in lines 9:13 - feel free to ask me for any help, but I believe it's all clear. Disclaimer: It's just an example how to script arrows for binary option and I am not responsible for any loss of money by using this particular strategy. I wish happy and successful trading! ;)
Pine Script®指标
由whis_gg提供
48
Indicator: Intrady Momentum IndexThe Intraday Momentum Index (IMI), developed by Tushar Chande, is a cross-breed between RSI and candlestick analysis. IMI determines the candle type that dominated the recent price action, using that to pinpoint the extremes in intraday momentum. As the market tries to bottom after a sell off, there are gradually more candles with green bodies, even though prices remain in a narrow range. IMI can be used to detect this shift, because its values will increase towards 70. Similarly, as the market begins to top, there will be more red candles, causing IMI to decline towards 20. When the market is in trading range, IMI values will be in the neutral range of 40 to 60. Usually intraday momentum leads interday momentum. QStick can show interday momentum, it complements IMI. You will find it in my published indicators. I have added volatility bands based OB/OS, in addition to static OB/OS levels. You can also turn on IMI Ehlers smoothing. BTW, all parameters are configurable, so do check out the options page. List of my other indicators: - - Google doc: docs.google.com
Pine Script®指标
由LazyBear提供
14
特典インジケーター　（ボリンジャーバンド+移動平均線）BTCやSP500向けのチャート解析ツールです。 - ボリンジャーバンド（オレンジ上下線、水色中央線） - EMA5（青線）、EMA25（黄色線）、EMA200（赤線） 使い方のポイント - トレンド判定: EMA200（赤）より上なら上昇基調、下なら下降基調が優勢。 - 短中期の勢い: EMA5（青）とEMA25（黄）のゴールデンクロス／デッドクロスで勢いの変化を確認。 - ボラティリティと逆張り: ボリンジャーバンドの上限／下限タッチは伸びの継続か反転の初動かを、中央線（基準・水色）復帰でフォロー確認。 - 時間軸: 1時間～4時間は短期、日足は中期のトレンド確認に適合。複数時間軸で整合性を取ると精度が上がります。 ツールの解説 ボリンジャーバンド（Bollinger Bands） ボリンジャーバンドは、20期間の単純移動平均（SMA）を中央線とし、その上下に標準偏差×2のバンドを配置します。 - 上限バンド：相場の上振れが過熱している可能性を示すレジスタンスライン - 下限バンド：相場の下振れが過冷却している可能性を示すサポートライン - バンド幅の拡大：ボラティリティ上昇局面を示唆 - バンド幅の収縮：レンジ相場や転換前の低ボラティリティを示唆 --------------------- EMA5（Exponential Moving Average 5） EMA5は直近5本の価格により重み付けされた指数移動平均です。 - 非常に短期的な価格の変化を捉え、エントリーや還流のタイミングに敏感 - EMA25とのクロスオーバーで、短期モメンタムの変化を判断 EMA25（Exponential Moving Average 25） EMA25は中期的なトレンドを表す指数移動平均です。 - EMA5との位置関係でトレンドの強さや方向性を評価 - 価格がEMA25を上回れば短期的な買い優勢、下回れば売り優勢 EMA200（Exponential Moving Average 200） EMA200は長期トレンドの大局を示す指数移動平均です。 - プロのトレーダーにも重要視されるサポート／レジスタンスライン - 価格がEMA200を上回ると長期的に強気、市場全体のセンチメント確認に利用 Chart Analysis Tool for BTC and S&P500 - Bollinger Bands (orange upper/lower lines, light blue middle line) - EMA5 (blue line), EMA25 (yellow line), EMA200 (red line)
Pine Script®指标
由N-1111提供
Combined Triggers Dashboard//@version=6 indicator("Combined Triggers Dashboard", overlay=true) // ======================= INPUTS ======================= // Daily Trigger shortDEMA_D = input.int(10, "Daily 10 DEMA") longDEMA_D = input.int(20, "Daily 20 DEMA") volAvgLen_D = input.int(20, "Daily 20-day Avg Volume") volMultiplier_D = input.float(3, "Daily Volume Multiplier") weekDEMAlen_D = input.int(10, "10-Week DEMA Reference for Daily Trigger") // Weekly Trigger shortDEMA_W = input.int(10, "Weekly 10 W DEMA") longDEMA_W = input.int(20, "Weekly 20 W DEMA") volAvgLen_W = input.int(50, "50-day Avg Volume for Weekly Trigger") volMultiplier_W = input.float(3, "Weekly Volume Multiplier") // Original Trigger (example) shortDEMA_O = input.int(10, "Original 10 DEMA") longDEMA_O = input.int(20, "Original 20 DEMA") volAvgLen_O = input.int(20, "Original 20-day Avg Volume") volMultiplier_O = input.float(3, "Original Volume Multiplier") // ======================= FUNCTIONS ======================= f_dema(_src, _len) => ema1 = ta.ema(_src, _len) ema2 = ta.ema(ema1, _len) 2 * ema1 - ema2 // ======================= DAILY TRIGGER ======================= dema10D = f_dema(close, shortDEMA_D) dema20D = f_dema(close, longDEMA_D) dailyVol = volume avgVol20 = ta.sma(dailyVol, volAvgLen_D) volCondition_D = dailyVol > volMultiplier_D * avgVol20 priceCondition_D = close > dema10D demaCondition_D = dema10D > dema20D weeklyClose_D = request.security(syminfo.tickerid, "W", close) dema10W_D = ta.ema(weeklyClose_D, weekDEMAlen_D) * 2 - ta.ema(ta.ema(weeklyClose_D, weekDEMAlen_D), weekDEMAlen_D) trigger_D = priceCondition_D and demaCondition_D and volCondition_D plotshape(trigger_D, title="Daily Trigger", style=shape.triangleup, location=location.abovebar, text="DTRG", textcolor=color.white, color=color.new(#FF4500, 0), size=size.small) alertcondition(trigger_D, title="Daily DEMA Trigger Alert", message="Daily DEMA trigger detected") // ======================= WEEKLY TRIGGER ======================= weeklyClose_W = request.security(syminfo.tickerid, "W", close) dema10W = f_dema(weeklyClose_W, shortDEMA_W) dema20W = f_dema(weeklyClose_W, longDEMA_W) dailyVolW = volume avgVol50 = ta.sma(dailyVolW, volAvgLen_W) volCondition_W = dailyVolW > volMultiplier_W * avgVol50 priceCondition_W = close > dema20W demaCondition_W = dema10W > dema20W trigger_W = priceCondition_W and demaCondition_W and volCondition_W plotshape(trigger_W, title="Weekly Trigger", style=shape.triangledown, location=location.abovebar, text="WTRG", textcolor=color.white, color=color.new(#1E90FF, 0), size=size.small) alertcondition(trigger_W, title="Weekly DEMA Trigger Alert", message="Weekly DEMA trigger detected") // ======================= ORIGINAL TRIGGER ======================= dema10O = f_dema(close, shortDEMA_O) dema20O = f_dema(close, longDEMA_O) dailyVolO = volume avgVolO = ta.sma(dailyVolO, volAvgLen_O) volCondition_O = dailyVolO > volMultiplier_O * avgVolO priceCondition_O = close > dema10O demaCondition_O = dema10O > dema20O trigger_Orig = priceCondition_O and demaCondition_O and volCondition_O plotshape(trigger_Orig, title="Original Trigger", style=shape.labelup, location=location.belowbar, text="TRG", textcolor=color.white, color=color.new(#32CD32, 0), size=size.small) // ======================= COMBINED TABLE ======================= var table dash = table.new(position.top_right, 2, 20, border_width=1) if barstate.islast // --- DAILY TRIGGER (rows 0-4) --- table.cell(dash, 0, 0, "Daily Trigger", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 0, trigger_D ? "YES ✅" : "NO ❌", text_color=color.white, bgcolor=trigger_D ? color.new(#FF4500, 0) : color.new(#555555, 50)) table.cell(dash, 0, 1, "CMP > 10D DEMA", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 1, str.tostring(close, format.price), text_color=color.white, bgcolor=priceCondition_D ? color.new(#32CD32, 0) : color.new(#AAAAAA, 50)) table.cell(dash, 0, 2, "10D > 20D DEMA", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 2, str.tostring(dema10D, format.price) + " > " + str.tostring(dema20D, format.price), text_color=color.white, bgcolor=demaCondition_D ? color.new(#FFFF00, 0) : color.new(#AAAAAA, 50)) table.cell(dash, 0, 3, "Daily Vol > 3x20D Avg", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 3, str.tostring(dailyVol, format.volume) + " / " + str.tostring(avgVol20, format.volume), text_color=color.white, bgcolor=volCondition_D ? color.new(#FF00FF, 0) : color.new(#AAAAAA, 50)) table.cell(dash, 0, 4, "10W DEMA Ref", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 4, str.tostring(dema10W_D, format.price), text_color=color.white, bgcolor=color.new(#00FFFF, 0)) // --- WEEKLY TRIGGER (rows 5-9) --- table.cell(dash, 0, 5, "Weekly Trigger", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 5, trigger_W ? "YES ✅" : "NO ❌", text_color=color.white, bgcolor=trigger_W ? color.new(#1E90FF, 0) : color.new(#555555, 50)) table.cell(dash, 0, 6, "CMP > 20W DEMA", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 6, str.tostring(close, format.price), text_color=color.white, bgcolor=priceCondition_W ? color.new(#32CD32, 0) : color.new(#AAAAAA, 50)) table.cell(dash, 0, 7, "10W > 20W DEMA", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 7, str.tostring(dema10W, format.price) + " > " + str.tostring(dema20W, format.price), text_color=color.white, bgcolor=demaCondition_W ? color.new(#FFFF00, 0) : color.new(#AAAAAA, 50)) table.cell(dash, 0, 8, "Daily Vol > 3x50D Avg", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 8, str.tostring(dailyVolW, format.volume) + " / " + str.tostring(avgVol50, format.volume), text_color=color.white, bgcolor=volCondition_W ? color.new(#FF00FF, 0) : color.new(#AAAAAA, 50)) // --- ORIGINAL TRIGGER (rows 10-14) --- table.cell(dash, 0, 10, "Original Trigger", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 10, trigger_Orig ? "YES ✅" : "NO ❌", text_color=color.white, bgcolor=trigger_Orig ? color.new(#32CD32, 0) : color.new(#555555, 50)) table.cell(dash, 0, 11, "CMP > 10D DEMA", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 11, str.tostring(close, format.price), text_color=color.white, bgcolor=priceCondition_O ? color.new(#32CD32, 0) : color.new(#AAAAAA, 50)) table.cell(dash, 0, 12, "10D > 20D DEMA", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 12, str.tostring(dema10O, format.price) + " > " + str.tostring(dema20O, format.price), text_color=color.white, bgcolor=demaCondition_O ? color.new(#FFFF00, 0) : color.new(#AAAAAA, 50)) table.cell(dash, 0, 13, "Daily Vol > 3x20D Avg", text_color=color.white, bgcolor=color.new(#555555, 30)) table.cell(dash, 1, 13, str.tostring(dailyVolO, format.volume) + " / " + str.tostring(avgVolO, format.volume), text_color=color.white, bgcolor=volCondition_O ? color.new(#FF00FF, 0) : color.new(#AAAAAA, 50))
Pine Script®指标
由Nekhileshinvestor提供