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#FIL/USDT Ready for a Breakout? Analysis of a Long Accumulatio#FIL The price is moving within a descending channel on the 1-hour frame, adhering well to it, and is heading for a strong breakout and retest. We have a bearish trend on the RSI indicator that is about to be broken and retested, which supports the upward breakout. There is a major support area in green at 1.47, representing a strong support point. We are heading for consolidation above the 100 moving average. Entry price: 1.54. First target: 1.57. Second target: 1.60. Third target: 1.64. Don't forget a simple matter: capital management. When you reach the first target, save some money and then change your stop-loss order to an entry order. For inquiries, please leave a comment. Thank you.
Long
by CryptoAnalystSignal
1
#FIL/USDT Ready for a Breakout? Analysis of a Long Accumulatio#FIL The price is moving within a descending channel on the 1-hour frame, adhering well to it, and is heading for a strong breakout and retest. We have a bearish trend on the RSI indicator that is about to be broken and retested, which supports the upward breakout. There is a major support area in green at 1.54, representing a strong support point. We are heading for consolidation above the 100 moving average. Entry price: 1.60 First target: 1.70 Second target: 1.77 Third target: 1.80 Don't forget a simple matter: capital management. When you reach the first target, save some money and then change your stop-loss order to an entry order. For inquiries, please leave a comment. Thank you.
Long
by CryptoAnalystSignal
FIL bull-pollbakThe Filecoin ( BINANCE:FILUSDT ) chart, after a correction to $2.65, is attempting to pull back to the broken level around $2.77. If it fails to break this resistance, another decline towards support levels at $2.525 and then $2.39 is likely, which could act as a potential starting point for a new upward movement towards targets at $3.02 and $3.30. 🔑 Key Zones on the FIL Chart: Primary Resistance: $2.77 (Pullback to broken level) First Support: $2.525 Second Support: $2.39 First Bullish Target: $3.02 Second Bullish Target: $3.30
Long
by EhsanZeydabadi
#FIL/USDT#FIL The price is moving within a descending channel on the 1-hour frame, adhering well to it, and is heading towards a strong breakout and retest. We are seeing a bounce from the lower boundary of the descending channel, which is support at 2.68. We have a downtrend on the RSI indicator that is about to be broken and retested, which supports the upward trend. We are looking for stability above the 100 moving average. Entry price: 2.73 First target: 2.78 Second target: 2.86 Third target: 2.95
Long
by CryptoAnalystSignal
FIL short-down FILUSDT Signal 🔹 Key Resistance Level: $3.35 – $3.50 🔹 Important Support Levels: $3.148 – $2.940 – $2.738 Analysis: FIL price has been moving in an uptrend within a rising wedge pattern and has now reached the key resistance zone of $3.35 – $3.50. If this level is broken, followed by confirmation with a pullback, the uptrend is likely to continue. However, failure to break this resistance could lead to a price correction toward the mentioned support levels. 📌 Trading Strategy: ✅ Sell Entry after breaking the uptrend and confirming below $3.148 🎯 Targets: $2.940 – $2.738 🛑 Stop Loss: $3.30 ⚠ Important Note: Risk management should not be ignored!
Short
by EhsanZeydabadi
SNAP, YOU'RE NOT UGLY, YOU JUST NEED A FILTERSnapchat talk about potential to target a very specific audience. Teens the AI potential is cool I'm sure they will be going the reel route Sell targets in Pink Buy targets in blue It seems this stock might have a little downside left, but should start going pretty soon. somewhere between the blue range could easily trigger a really quick move to $20. Earnings is the 23rd. Really good looking chart for trading. Watch the trends.
NYSE:SNAPLong
by nicktussing77
RSI AMPLIFIER// (v4) RSI AMPLIFIER ( MCDX-Oscillator + Renko-Filter ) ( BTC ) ( 1h,2h,3h,4h ) //Authors credit: //Smart Money based of / Indicator | MCDX //Renko Volume based of "Weiss Wave Volume" / "WWV" //The SmartMoney MCDX (MultiColor-Dragon) amplify rsi values to give confirmation of so called BANKER or SMART-MONEY against Retaillers. //The main issue to me was that the original "SmartMoney MCDX" give only half the potential information since it focus only on positive price action. //Therefore this version is a SMART-MONEY OSCILLATOR built to give entry/exit signals for shorts as well as long. //The Real-Momentum plot replaces HOT MONEY (area, darkgreen/darkred), react quickly to oversold/overbought and hit the max/min value at almost every bar. //The Over-Extended plot replaces BANKER MONEY (stepline, yellow/blue), need a stronger oversold/overbought value to move from the middle. //The Signal-Line plot (line, green/red, with filler), is halfway between the Real-Mommentum & Over-Extended trying to give a signal after the move start but before the biggest candles. // //The original RETAILLERS MONEY carries no information and as been erased. // //Renko-Filter reduce the noise by adding volume values to each new columns until the trend reversal. //How to use: // //The purpose and logic of this indicator is " Amplify to Simplify " // //Enter trade when the Signal-Line leave the middle. //Long when it go TOP GREEN / Short when it go BOTTOM RED //Exit trade when the Signal-Line return to middle or/while the Renko-Filter reverse. // //When you analyze the chart stay zoom out with max/min on the edges of the pan. Only the biggest Renko-series will be visible. //When trading, you may zoom in to see evolution in real time.(version built for minutes time-frames in progress) // //You can easily set a LONG TRADE alarm on the Signal-Line, choosing "Greater than 10" then "Less than 50000" //You can easily set a SHORT TRADE alarm on the Signal-Line, choosing "Less than -10" then "Greater than -50000" // //Be careful when Real-Momentum start being choppy or simply goes too much/too long in the opposite side of the trend. //If the Over-Extended plot follow the Signal-Line after you enter a trade, you're good but always exit before the Over-Extended return to mid. //Use the Renko-Filter to detect lauching Extended-Trend, to confirm Real-Momentum reversal, or to stay in a trade to the last candles. // INFO: //This version is built on purpose for BTC 1h/2h/3h/4h, differents assets, time-frames or exchanges may need change. //If you can't see the Over-Extended, Signal Line or Renko-Filter with a particular time-frame or asset, you can change the value of the rsi at "rsi := 500000" & "rsi := -500000". //Change by a value > to that of the candles (last value in status line). //Zoom in on the indicator to see the Renko-Filter but idealy you want to see the max/min value of the 3 plot of the indicator(default = 50000). // // Overlay: //You can display this indicator directly on your Chart and set No scale (fullscreen), to use it like as a RSI Baseline. //If so, i made specifics version doing it by default (overlay,BTC)(overlay,largeCAP). //@version=4
by LOKEN94
Make Indicators Profitable AgainIf you have been in the market for some time, then you have probably tried a few different indicators. Some may have worked well, others not so much. However, just because the indicator's default version didn't work, that doesn't mean it doesn't have potential! Parabolic SAR Default We have tested the Parabolic SAR with its default settings, on ETH/USDT 4h chart, on Kucoin. Each trade was taken with 100% of the available equity, and resulted in a total profit of -89%. This means that you would have decimated your account if you had used the default Parabolic SAR. The default Parabolic SAR values on Tradingview are: "Start" 0.02, "Increment" 0.02 and "Maximum" 0.2. Modified Parabolic SAR By modifying the "Increment" and "Maximum" values to 0.002, you will create a version that has a total profit of 492%! This version even works on shorts. There are even more profitable versions of the Parabolic SAR strategies which you can use. We have just tested a few different values, but more extensive testing would almost certainly bring better results. Although you can use this indicator for your entries and exits, it is better to use it as a filter. This version is a lot slower than the default one, and as such, it only catches the big trends. As mentioned earlier, it also works on shorts; therefore, it can identify bear markets accurately. Therefore, you can use this version as a filter to find the long-term trend, and then use another indicator that signals more often, such as the MACD, to find the appropriate entries and exits.
by cryptohopper
Why A Cascading SMA Approximate A Gaussian Filter ?Introduction The gaussian filter don't see many uses in technical analysis and financial data smoothing in general, however it possess really interesting properties and a really close relationship with the simple moving average. The gaussian filter is a filter which possess a function approximately gaussian (bell shaped curve) as : impulse response, step response and frequency response. This characteristic is pretty cool actually, the gaussian function is always mysterious. Now why do I talk about sma and estimation ? Well it is true, you can estimate a gaussian filter by applying an sma to another sma and so on such as : sma(...sma()) But why ? Just why is that so ? Well there are a lot of explanations, some of them involving the central limit theorem which would lead to a statistical explanation but I'll give a simpler explanation of this case by using signal processing. Understanding Impulses Responses The impulse response of a filter is the filter output using an impulse function as input or more simply : filter(impulse) The impulse function is a simple function equal to 1 at a certain point in time, for example we can use : impulse = 1 if t = 10 else 0, where t = 1,2,3...inf The impulse response of a filter tell us how to actually make the filter, for example : a = filter(impulse) b = sum(input*a) = filter(input) This process is called convolution, and is simply the sum of the product of two functions, the input function and the kernel function, a kernel is just a way to say filter coefficients. The Explanation Now that you know that, let's explain why sma(...sma()) approximate a gaussian filter. To do so let's take an impulse function and let's start applying an sma to it such as sma(impulse) (the sma period doesn't matter here) Only one sma give a constant, let's use two sma's such as sma(sma(impulse)) This give us a triangular function, this is why sma(sma()) is often called triangular moving average, now let's repeat the process and add more sma's. Do you see ? We are approximating a gaussian curve, if we do it many times the approximation will be even more correct. Now let's recall : The impulse response of a gaussian filter is a gaussian function f The impulse response of many sma's give a function f' who approximate a gaussian function, therefore f ≈ f' So sum(input*f') ≈ sum(input*f) and therefore sma(...sma(input)) ≈ gaussfilter(input) Note : the process of applying a filter several time is called cascading Conclusion Simple isn't it ? The simple moving average is always fun to use and posses many properties, now you don't want to use such method because it's mega inefficient. But maybe that you want to know about an efficient gaussian filter implementation ? I can work on it. Thanks for reading !
Education
by alexgrover
14