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BV's MACD SIGNAL TESTERHello ladies and gentlemen, Today, as you may have seen in the title, I have coded a strategy to determine once and for all if MACD could make you money in 2020. So, at the end of this video, you will know which MACD strategy will bring you the most money. Spoiler alert: we've hit the 90% WinRAte mark on the Euro New Zealand Dollar chart. I've seen a lot of videos of people testing different MACD signals, some up to 100 times. But In my opinion, all traders must rely on statistics to put all the odds on their side and good statistics require a lot more data. The algorithm I'm showing you tests each signal one by one over a 3 year period and on 28 different graphs. That way we are sure that we have encountered all possible market behavior. From phases of congestion to major trends or even the effects of COVID-19 I use the ATR to determine my Stop Loss and Take Profits. The Stop Loss is placed at 1.5 times the ATR, the Take Profit is placed at 1 time the ATR. If my Take Profit is hit, I take 50% of the profits and let the position run by moving my Stop Loss to Zero. This way, the position can no longer be a losing position. If you are not familiar with this practice, I invite you to study the "Scaling out" video from the NoNonsenseForex channel. BV's Trading Journal.
Strategia Pine Script®
di BVTradingJournal
2
Best strategy for TradingView (fake)Hello everyone! I want to show you this strategy so you don't fall for the tricks of scammers. On TradingView, you can write an algorithm (probably more than one) that will show any profit you want: from 1% to 100,000% in one year (maybe more)! This can be done, for example, using the built-in linebreak () function and several conditions for opening long and short. I am sure that sometimes scammers show up on TradingView showing their incredible strategies. Will a smart person sell a profitable quick strategy? When a lot of people start using the quick strategy, it stops working. Therefore, no smart person would sell you a quick strategy. It is acceptable to sell slow strategies: several transactions per month - this does not greatly affect the market. So, don't fall for the tricks of scammers, write quick strategies yourself. About this strategy, I can say that the linebreak () function does not work correctly in it. Accordingly, the lines are not drawn correctly on the chart. They are drawn in such a way as to show the maximum profit. I watched this algorithm on a 1m timeframe - no lines are drawn in real time. This is a fake!
Strategia Pine Script®
di AlanReys
11
Price Action and 3 EMAs Momentum plus Sessions FilterThis indicator plots on the chart the parameters and signals of the Price Action and 3 EMAs Momentum plus Sessions Filter Algorithmic Strategy. The strategy trades based on time-series (absolute) and relative momentum of price close, highs, lows and 3 EMAs. I am still learning PS and therefore I have only been able to write the indicator up to the Signal generation. I plan to expand the indicator to Entry Signals as well as the full Strategy. The strategy works best on EURUSD in the 15 minutes TF during London and New York sessions with 1 to 1 TP and SL of 30 pips with lots resulting in 3% risk of the account per trade. I have already written the full strategy in another language and platform and back tested it for ten years and it was profitable for 7 of the 10 years with average profit of 15% p.a which can be easily increased by increasing risk per trade. I have been trading it live in that platform for over two years and it is profitable. Contributions from experienced PS coders in completing the Indicator as well as writing the Strategy and back testing it on Trading View will be appreciated. STRATEGY AND INDICATOR PARAMETERS Three periods of 12, 48 and 96 in the 15 min TF which are equivalent to 3, 12 and 24 hours i.e (15 min * period / 60 min) are the foundational inputs for all the parameters of the PA & 3 EMAs Momentum + SF Algo Strategy and its Indicator. 3 EMAs momentum parameters and conditions • FastEMA = ema of 12 periods • MedEMA = ema of 48 periods • SlowEMA = ema of 96 periods • All the EMAs analyse price close for up to 96 (15 min periods) equivalent to 24 hours • There’s Upward EMA momentum if price close > FastEMA and FastEMA > MedEMA and MedEMA > SlowEMA • There’s Downward EMA momentum if price close < FastEMA and FastEMA < MedEMA and MedEMA < SlowEMA PA momentum parameters and conditions • HH = Highest High of 48 periods from 1st closed bar before current bar • LL = Lowest Low of 48 periods from 1st closed bar from current bar • Previous HH = Highest High of 84 periods from 12th closed bar before current bar • Previous LL = Lowest Low of 84 periods from 12th closed bar before current bar • All the HH & LL and prevHH & prevLL are within the 96 periods from the 1st closed bar before current bar and therefore indicative of momentum during the past 24 hours • There’s Upward PA momentum if price close > HH and HH > prevHH and LL > prevLL • There’s Downward PA momentum if price close < LL and LL < prevLL and HH < prevHH Signal conditions and Status (BuySignal, SellSignal or Neutral) • The strategy generates Buy or Sell Signals if both 3 EMAs and PA momentum conditions are met for each direction and these occur during the London and New York sessions • BuySignal if price close > FastEMA and FastEMA > MedEMA and MedEMA > SlowEMA and price close > HH and HH > prevHH and LL > prevLL and timeinrange (LDN&NY) else Neutral • SellSignal if price close < FastEMA and FastEMA < MedEMA and MedEMA < SlowEMA and price close < LL and LL < prevLL and HH < prevHH and timeinrange (LDN&NY) else Neutral Entry conditions and Status (EnterBuy, EnterSell or Neutral)(NOT CODED YET) • ENTRY IS NOT AT THE SIGNAL BAR but at the current bar tick price retracement to FastEMA after the signal • EnterBuy if current bar tick price <= FastEMA and current bar tick price > prevHH at the time of the Buy Signal • EnterSell if current bar tick price >= FastEMA and current bar tick price > prevLL at the time of the Sell Signal
Indicatore Pine Script®
di MoqebeloEJD
3
QuantCat Mom Finder Strategy (1H)QuantCat Momentum Finder Strategy This strategy is designed to be used on the 1 hour time frame, on all x/btc pairs. The beautiful thing is it plots the take profit, and stoploss for you for each entry- where I would say use the stoploss for sure and feel with water with how the price action is looking when in profit. In this strategy, I actually implemented my own trading style into building the strategy. Having to replicate my own trading strategy into an algorithm, I can't make it exactly perfect to how I would trade, but what I can do is try and program the parameters that give it the absolute best chance of making a big move with a small drawdown- which replicates part of my momentum trading style. Here I am using RSI, MACD, EMA and trend filtering values to find moments where there has been a momentum change to play the rest of the move. It only picks the best entries. There is always a 3-4 R/R move on average with with these trades, meaning 1 in 4 only need to hit to be a break even trader- where most of these strategies have about 35% hit rate. The stoploss is so crucial to minimise any damage from huge unexpected candles, the strategies can just be used for entries as well, you don't have to stick to the exact formula- of the long and short system, but this by itself is profitable. The system nets positive results on -ETH/BTC -LTC/BTC -XRP/BTC -ADA/BTC -NEO/BTC etc. We also have a free 15M strategy available too. You can join our discord server to get live alerts for the strategy as well as speak to our devs! Link in signature below!!!
Strategia Pine Script®
di QuantCat
2
Buy The Dip - Does It Work?Buying the dip has become a meme in crypto, but does it actually work? Using this script you can find out. The dip is defined here as the average true range multiplied by a number of your choosing (dipness input) and subtracted from the low. When price crosses under the dip level, a long is initiated. The long is then closed using a timestop (default value 20 bars), no fancy exits here. A general rule for buying the dip should be to be more passive in a bull market and aggressive in a bear market. Same goes for all counter trend trading. Heres a few other examples of dip buying statistics using the H4 timeframe: 50% profitable, 1.692 Profit Factor BINANCE:PIVXBTC 56.52% profitable, 1.254 Profit Factor BINANCE:KMDBTC 27.27% Profitable, 0.257 Profit Factor... yikes! BINANCE:BTSBTC 73.33% Profitable, 13.627 Profit Factor... o.O BINANCE:MANABTC
Strategia Pine Script®
di shtcoinr
7
Colored Klinger Volume Oscillator (CKVO)This is a color enhanced version of Klinger Volume Oscillator. I specially designed this to get maximum profit from highly volatile coins. This indicator is based on volume. xTrigger (the line) shows if trend is bullish or bearish. It is the average of the area. You can clearly see the trend. xKVO (the area) shows how buy and sell orders change. It rises while buys are increasing against sells, decreases while sells are increasing against buys. The color or the area provides buy and sell signals. Green: buy. Red: sell. Gray: Undecided. Of course there are false signals. You should use other indicators to confirm them. I like to use RSI and Bollinger Bands along with it to eliminate false signals. Also check for double bottom and top, etc. Its wise to check the general direction of coin using a bigger time frame using Heikin Aishi. For example 1W Heikin Ashi if you are trading on 1D. In addition to buy signals the most important indication is divergence with the price. Before a trend change 2 kinds of divergences happen - Trend line moves reverse to the price line - Are a tops moves revers to the price tops. For example while there is a higher price top, there is a lower area top. Then its time to escape. Motivation It is common to suffer from failures while trading highly profitable but volatile coins like NULLS, REP, DLT, LRC, MFT, HOT, OAX, KEY, etc. - Traders sell too early to ensure a profit. Sell at 10% and it goes 200% - Traders buy too early. Traders buy and it drops yet another 50% - Wrong patience. The trader keeps the faith and waits for days for the glorious days. And nothing happens. I believe with this indicator I am able to solve those problems most of the time.
Indicatore Pine Script®
di umur.ozkul
1
Stochastic & MACD Strategy Ver 1.0This strategy is inspired by ChartArt and jasonluk28. The following input changes from the initial ChartArt version to achieve higher stability and profit: Fast MA Len:11 Slow MA len: 24 Stoch Len: 20 No difference is found in minor changes (+-10) lv. of overbought/oversold It works above 40% winning rate in Heng Heng Index, Shanghai Composite, Dow Jones Industrial Averge, S&P 500 NASDAQ, VT (World Total Market) and in 15 mins chart Profit: above ~10 to 30% in less than 1year backtest for most major indice of China and US and ~62% in Heng Seng Index (Hong Kong) & 40.5% in SZSE Composite (Shen Zhen) P.S. Profit: 700 (Tencent) +150.5%, 939 (CCB) +66.5%, 1299 (AIA) +45%, 2628 (CLIC) +41%, 1 (CK Hutchison) +31% NFLX +82.5%, BABA +55.5%, AMZN +44%, GOOG +38%, MCD +24.5% However, Loss in FB -19% , AMD -38.5% Not suitable for stocks with great influences in News or Events ???
Strategia Pine Script®
di Unc1efrog
XPloRR MA-Buy ATR-Trailing-Stop Long Term Strategy Beating B&HXPloRR MA-Buy ATR-MA-Trailing-Stop Strategy Long term MA Trailing Stop strategy to beat Buy&Hold strategy None of the strategies that I tested can beat the long term Buy&Hold strategy. That's the reason why I wrote this strategy. Purpose: beat Buy&Hold strategy with around 10 trades. 100% capitalize sold trade into new trade. My buy strategy is triggered by the EMA(blue) crossing over the SMA curve(orange). My sell strategy is triggered by another EMA(lime) of the close value crossing the trailing stop(green) value. The trailing stop value(green) is set to a multiple of the ATR(15) value. ATR(15) is the SMA(15) value of the difference between high and low values. Every stock has it's own "DNA", so first thing to do is find the right parameters to get the best strategy values voor EMA, SMA and Trailing Stop. Then keep using these parameter for future buy/sell signals only for that particular stock. Do the same for other stocks. Here are the parameters: Exponential MA: buy trigger when crossing over the SMA value (use values between 11-50) Simple MA: buy trigger when EMA crosses over the SMA value (use values between 20 and 200) Stop EMA: sell trigger when Stop EMA of close value crosses under the trailing stop value (use values between 8 and 16) Trailing Stop #ATR: defines the trailing stop value as a multiple of the ATR(15) value Example parameters for different stocks (Start capital: 1000, Order=100% of equity, Period 1/1/2005 to now): BAR(Barco): EMA=11, SMA=82, StopEMA=12, Stop#ATR=9 Buy&HoldProfit: 45.82%, NetProfit: 294.7%, #Trades:8, %Profit:62.5%, ProfitFactor: 12.539 AAPL(Apple): EMA=12, SMA=45, StopEMA=12, Stop#ATR=6 Buy&HoldProfit: 2925.86%, NetProfit: 4035.92%, #Trades:10, %Profit:60%, ProfitFactor: 6.36 BEKB(Bekaert): EMA=12, SMA=42, StopEMA=12, Stop#ATR=7 Buy&HoldProfit: 81.11%, NetProfit: 521.37%, #Trades:10, %Profit:60%, ProfitFactor: 2.617 SOLB(Solvay): EMA=12, SMA=63, StopEMA=11, Stop#ATR=8 Buy&HoldProfit: 43.61%, NetProfit: 151.4%, #Trades:8, %Profit:75%, ProfitFactor: 3.794 PHIA(Philips): EMA=11, SMA=80, StopEMA=8, Stop#ATR=10 Buy&HoldProfit: 56.79%, NetProfit: 198.46%, #Trades:6, %Profit:83.33%, ProfitFactor: 23.07 I am very curious to see the parameters for your stocks and please make suggestions to improve this strategy.
Strategia Pine Script®
di XPl0RR
1
True Price XRPArbitrage is the simultaneous purchase and sale of an asset to profit from a difference in the price. It is a trade that profits by exploiting the price differences of identical or similar financial instruments on different markets or in different forms. In cryptocurrencies, arbitrage is difficult - if not impossible to profit from due to the large transaction costs of buying and sell on the different exchanges. Some exchanges have fees in excess of 3%. This means that the difference in price between exchanges would have to be greater than the transaction cost in order to profit. This also does not take into account the risk of price movement in the time it would take to transfer funds between exchanges, making the ability to profit from arbitrage impossible for the retail investor. While "arbitrage" may be intuitively associated with "sabotage" to the uninformed, the occurence is not a result of greedy price manipulation. The difference in price between exchanges can be simply justified by the separation of market depth creating an indipendantly operating order book. Essentially, this is an individually performing market with a unique price spread. In order to determine the most visually accurate price, I have averaged the asking price of these six exchanges: 1. KRAKEN 2. BITSTAMP 3. BITFINEX 4. BITTREX 5. POLONIEX 6. BITSO This plotted line can be overlayed on top of any XRP/USD price from any given exchange in order to view the variance from the average in real-time, or you can hide the underlying chart to view only the average of the six exchanges as demonstrated in the chart above. Find this in the public indicator library! Like and follow for more great scripts.
Indicatore Pine Script®
di GrantPeace
2
MACDouble + RSI (rec. 15min-2hr intrv) Uses two sets of MACD plus an RSI to either long or short. All three indicators trigger buy/sell as one (ie it's not 'IF MACD1 OR MACD2 OR RSI > 1 = buy", its more like "IF 1 AND 2 AND RSI=buy", all 3 match required for trigger) The MACD inputs should be tweaked depending on timeframe and what you are trading. If you are doing 1, 3, 5 min or real frequent trading then 21/44/20 and 32/66/29 or other high value MACDs should be considered. If you are doing longer intervals like 2, 3, 4hr then consider 9/19/9 and 21/44/20 for MACDs (experiment! I picked these example #s randomly). Ideal usage for the MACD sets is to have MACD2 inputs at around 1.5x, 2x, or 3x MACD1's inputs. Other settings to consider: try having fastlength1=macdlength1 and then (fastlength2 = macdlength2 - 2). Like 10/26/10 and 23/48/20. This seems to increase net profit since it is more likely to trigger before major price moves, but may decrease profitable trade %. Conversely, consider FL1=MCDL1 and FL2 = MCDL2 + (FL2 * 0.5). Example: 10/26/10 and 22/48/30 this can increase profitable trade %, though may cost some net profit. Feel free to message me with suggestions or questions.
Strategia Pine Script®
di RyanMartin
6
MACD, backtest 2015+ only, cut in half and doubledThis is only a slight modification to the existing "MACD Strategy" strategy plugin! found the default MACD strategy to be lacking, although impressive for its simplicity. I added "year>2014" to the IF buy/sell conditions so it will only backtest from 2015 and beyond ** . I also had a problem with the standard MACD trading late, per se. To that end I modified the inputs for fast/slow/signal to double. Example: my defaults are 10, 21, 10 so I put 20, 42, 20 in. This has the effect of making a 30min interval the same as 1 hour at 10,21,10. So if you want to backtest at 4hr, you would set your time interval to 2hr on the main chart. This is a handy way to make shorter time periods more useful even regardless of strategy/testing, since you can view 15min with alot less noise but a better response. Used on BTCCNY OKcoin, with the chart set at 45 min (so really 90min in the strategy) this gave me a percent profitable of 42% and a profit factor of 1.998 on 189 trades. Personally, I like to set the length/signals to 30,63,30. Meaning you need to triple the time, it allows for much better use of shorter time periods and the backtests are remarkably profitable. (i.e. 15min chart view = 45min on script, 30min= 1.5hr on script) ** If you want more specific time periods you need to try plugging in different bar values: replace "year" with "n" and "2014" with "5500". The bars are based on unix time I believe so you will need to play around with the number for n, with n being the numbers of bars.
Strategia Pine Script®
di RyanMartin
5
Outsidebar vs Insidebar, Illusion Strategy (by ChartArt)WARNING: This strategy does not work! Please don't trade with this strategy I'm sharing this strategy for the following three educational reasons: 1. You can easily find 100% strategies, but if they only seem to work 100% on one asset, they actually don't work at all. Therefore never backtest your strategy only on one asset, especially forward testing is useless, because it tends to repeat the old patterns. Your strategy has to work on as many different assets as possible. 2. The pyramiding of orders can have an impact on the strategy. In this case if you manually change the strategy settings by increasing it from 1 to 100 pyramiding orders changes the percent profitable on "UKOIL" monthly from 100% to 90% profitable. On other assets you can see very different results. Allowing much more pyramiding orders in this case results in opening orders where the background color highlights appear. 3. The Tradingview backtest beta version currently does not close the last open trade during the backtest. In this case going long on "UKOIL" near the top in 2011 as this strategy did would result in a big loss in 2015. But since the trade is still open and not canceled out by a new short order it still appears as if this strategy works 100% profitable. Which it doesn't.
Strategia Pine Script®
di ChartArt
ISM Indicator As a Strategy Here's a very easy code, plotting the ISM against the SPX. In this exercise, i wanted to see if one could use the ISM indicator only to generate buy/sell signal, and what would be the performance. What is the ISM The ISM Manufacturing Index monitors employment, production inventories, new orders and supplier deliveries.By monitoring the ISM Manufacturing Index, investors are able to better understand national economic conditions. When this index is increasing, investors can assume that the stock markets should increase because of higher corporate profits. The opposite can be thought of the bond markets, which may decrease as the ISM Manufacturing Index increases because of sensitivity to potential inflation. Buy/Sell Signal ISM above 50 usually good economic condition and vice versa when below 50 . For this code I used 48.50 as my buy/sell signal line. Results To test this on a longer time period, I use the SPX index instead of SPY. The results are surprisingly good. 76.92% profitability with 3.03 profit factor. Conclusion Investors could use the ISM with other indicators to determine better entry and exit point. I will see if combining the ISM with other custom indicators , could generate better result. Feel free to share your results here. Cheers Algo.
Strategia Pine Script®
di Algokid
4
MACD + SMA 200 Strategy (by ChartArt)Here is a combination of the classic MACD (moving average convergence divergence indicator) with the classic slow moving average SMA with period 200 together as a strategy. This strategy goes long if the MACD histogram and the MACD momentum are both above zero and the fast MACD moving average is above the slow MACD moving average. As additional long filter the recent price has to be above the SMA 200. If the inverse logic is true, the strategy goes short. For the worst case there is a max intraday equity loss of 50% filter. Save another $999 bucks with my free strategy. This strategy works in the backtest on the daily chart of Bitcoin, as well as on the S&P 500 and the Dow Jones Industrial Average daily charts. Current performance as of November 30, 2015 on the SPX500 CFD daily is percent profitable: 68% since the year 1970 with a profit factor of 6.4. Current performance as of November 30, 2015 on the DOWI index daily is percent profitable: 51% since the year 1915 with a profit factor of 10.8. All trading involves high risk; past performance is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the results may have under- or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown.
Strategia Pine Script®
di ChartArt
87
CamarillaStrategy -V1 - H4 and L4 breakout - exits addedExits added using trailing stops. 2.6 Profit Factor and 76% Profitable on SPY , 5M - I think it's a pretty good number for an automated strategy that uses Pivots. I don't think it's possible to add volume and day open price in relation to pivot levels -- that's what I do manually .. Still trying to add EMA for exits.. it will increase profitability. You can play in pinescript with trailing stops entries..
Strategia Pine Script®
di cristian.d
14
Madrid Trend SqueezeThis study spots the points that are most profitable in the trend with a code color and shape. This also shows trend divergences and possible reversal or reentry points Keeping the parameters simple, this study only needs one parameter, the length of the base moving average, which by default is set to 34. There are seven colors used for the study Green : Uptrend in general Lime : Spots the current uptrend leg Aqua : The maximum profitability of the leg in a long trade The Squeeze happens when Green+Lime+Aqua are aligned (the larger the values the better) Maroon : Downtrend in general Red : Spots the current downtrend leg Fuchsia: The maximum profitability of the leg in a short trade The Squeeze happens when Maroon+Red+Fuchsia are aligned (the larger the values the better) Yellow : The trend has come to a pause and it is either a reversal warning or a continuation. These are the entry, re-entry or closing position points. When either the fuchsia or the aqua colors disappear or shrinks meaningfully it could mean a possible leg exhaustion that will have to be confirmed with the subsequent bars. When the squeeze color appears without the intermediate color (fuchsia+yellow, fuchsia+maroon, aqua+yellow, aqua+green) it could mean this is just a shake off move, a pump/dump move, a buy the dip or a sell the peak move or a gap. In the example there are three divergences spotted, the first one between march 2009 and september 2010 when the peaks in the indicator made a lower low, meanwhile the price made a higher high, this is a negative divergence and a trend reversal. On the second example, between april 2013 and July 2013 the indicator made a higher high meanwhile the price made a double bottom, this is a positive divergence and a reversal to the upside.
Indicatore Pine Script®
di Madrid
27
BACKTEST SCRIPT 0.999 ALPHATRADINGVIEW BACKTEST SCRIPT by Lionshare (c) 2015 THS IS A REAL ALTERNATIVE FOR LONG AWAITED TV NATIVE BACKTEST ENGINE. READY FOR USE JUST RIGHT NOW. For user provided trading strategy, executes the trades on pricedata history and continues to make it over live datafeed. Calculates and (plots on premise) the next performance statistics: profit - i.e. gross profit/loss. profit_max - maximum value of gross profit/loss. profit_per_trade - each trade's profit/loss. profit_per_stop_trade - profit/loss per "stop order" trade. profit_stop - gross profit/loss caused by stop orders. profit_stop_p - percentage of "stop orders" profit/loss in gross profit/loss. security_if_bought_back - size of security portfolio if bought back. trades_count_conseq_profit - consecutive gain from profitable series. trades_count_conseq_profit_max - maxmimum gain from consecutive profitable series achieved. trades_count_conseq_loss - same as for profit, but for loss. trades_count_conseq_loss_max - same as for profit, but for loss. trades_count_conseq_won - number of trades, that were won consecutively. trades_count_conseq_won_max - maximum number of trades, won consecutively. trades_count_conseq_lost - same as for won trades, but for lost. trades_count_conseq_lost_max - same as for won trades, but for lost. drawdown - difference between local equity highs and lows. profit_factor - profit-t-loss ratio. profit_factor_r - profit(without biggest winning trade)-to-loss ratio. recovery_factor - equity-to-drawdown ratio. expected_value - median gain value of all wins and loss. zscore - shows how much your seriality of consecutive wins/loss diverges from the one of normal distributed process. valued in sigmas. zscore of +3 or -3 sigmas means nonrandom realitonship of wins series-to-loss series. confidence_limit - the limit of confidence in zscore result. values under 0.95 are considered inconclusive. sharpe - sharpe ratio - shows the level of strategy stability. basically it is how the profit/loss is deviated around the expected value. sortino - the same as sharpe, but is calculated over the negative gains. k - Kelly criterion value, means the percentage of your portfolio, you can trade the scripted strategy for optimal risk management. k_margin - Kelly criterion recalculated to be meant as optimal margin value. DISCLAIMER : The SCRIPT is in ALPHA stage. So there could be some hidden bugs. Though the basic functionality seems to work fine. Initial documentation is not detailed. There could be english grammar mistakes also. NOW Working hard on optimizing the script. Seems, some heavier strategies (especially those using the multiple SECURITY functions) call TV processing power limitation errors. Docs are here: docs.google.com
Indicatore Pine Script®
di lionshare
61
HorizonSigma Pro [CHE]HorizonSigma Pro Disclaimer Not every timeframe will yield good results . Very short charts are dominated by microstructure noise, spreads, and slippage; signals can flip and the tradable edge shrinks after costs. Very high timeframes adapt more slowly, provide fewer samples, and can lag regime shifts. When you change timeframe, you also change the ratios between horizon, lookbacks, and correlation windows—what works on M5 won’t automatically hold on H1 or D1. Liquidity, session effects (overnight gaps, news bursts), and volatility do not scale linearly with time. Always validate per symbol and timeframe, then retune horizon, z-length, correlation window, and either the neutral band or the z-threshold. On fast charts, “components” mode adapts quicker; on slower charts, “super” reduces noise. Keep prior-shift and calibration enabled, monitor Hit Rate with its confidence interval and the Brier score, and execute only on confirmed (closed-bar) values. For example, what do “UP 61%” and “DOWN 21%” mean? “UP 61%” is the model’s estimated probability that the close will be higher after your selected horizon—directional probability, not a price target or profit guarantee. “DOWN 21%” still reports the probability of up; here it’s 21%, which implies 79% for down (a short bias). The label switches to “DOWN” because the probability falls below your short threshold. With a neutral-band policy, for example ±7%, signals are: Long above 57%, Short below 43%, Neutral in between. In z-score mode, fixed z-cutoffs drive the call instead of percentages. The arrow length on the chart is an ATR-scaled projection to visualize reach; treat it as guidance, not a promise. Part 1 — Scientific description Objective. The indicator estimates the probability that price will be higher after a user-defined horizon (a chosen number of bars) and emits long, short, or neutral decisions under explicit thresholds. It combines multi‑feature, z‑normalized inputs, adaptive correlation‑based weighting, a prior‑shifted sigmoid mapping, optional rolling probability calibration, and repaint‑safe confirmation. It also visualizes an ATR‑scaled forward projection and prints a compact statistics panel. Data and labeling. For each bar, the target label is whether price increased over the past chosen horizon. Learning is deliberately backward‑looking to avoid look‑ahead: features are associated with outcomes that are only known after that horizon has elapsed. Feature engineering. The feature set includes momentum, RSI, stochastic %K, MACD histogram slope, a normalized EMA(20/50) trend spread, ATR as a share of price, Bollinger Band width, and volume normalized by its moving average. All features are standardized over rolling windows. A compressed “super‑feature” is available that aggregates core trend and momentum components while penalizing excessive width (volatility). Users can switch between a “components” mode (weighted sum of individual features) and a “super” mode (single compressed driver). Weighting and learning. Weights are the rolling correlations between features (evaluated one horizon ago) and realized directional outcomes, smoothed by an EMA and optionally clamped to a bounded range to stabilize outliers. This produces an adaptive, regime‑aware weighting without explicit machine‑learning libraries. Scoring and probability mapping. The raw score is either the weighted component sum or the weighted super‑feature. The score is standardized again and passed through a sigmoid whose steepness is user‑controlled. A “prior shift” moves the sigmoid’s midpoint to the current base rate of up moves, estimated over the evaluation window, so that probabilities remain well‑calibrated when markets drift bullish or bearish. Probabilities and standardized scores are EMA‑smoothed for stability. Decision policy. Two modes are supported: - Neutral band: go long if the probability is above one half plus a user‑set band; go short if it is below one half minus that band; otherwise stay neutral. - Z‑score thresholds: use symmetric positive/negative cutoffs on the standardized score to trigger long/short. Repaint protection. All values used for decisions can be locked to confirmed (closed) bars. Intrabar updates are available as a preview, but confirmed values drive evaluation and stats. Calibration. An optional rolling linear calibration maps past confirmed probabilities to realized outcomes over the evaluation window. The mapping is clipped to the unit interval and can be injected back into the decision logic if desired. This improves reliability (probabilities that “mean what they say”) without necessarily improving raw separability. Evaluation metrics. The table reports: hit rate on signaled bars; a Wilson confidence interval for that hit rate at a chosen confidence level; Brier score as a measure of probability accuracy; counts of long/short trades; average realized return by side; profit factor; net return; and exposure (signal density). All are computed on rolling windows consistent with the learning scheme. Visualization. On the chart, an arrowed projection shows the predicted direction from the current bar to the chosen horizon, with magnitude scaled by ATR (optionally scaled by the square‑root of the horizon). Labels display either the decision probability or the standardized score. Neutral states can display a configurable icon for immediate recognition. Computational properties. The design relies on rolling means, standard deviations, correlations, and EMAs. Per‑bar cost is constant with respect to history length, and memory is constant per tracked series. Graphical objects are updated in place to obey platform limits. Assumptions and limitations. The method is correlation‑based and will adapt after regime changes, not before them. Calibration improves probability reliability but not necessarily ranking power. Intrabar previews are non‑binding and should not be evaluated as historical performance. Part 2 — Trader‑facing description What it does. This tool tells you how likely price is to be higher after your chosen number of bars and converts that into Long / Short / Neutral calls. It learns, in real time, which components—momentum, trend, volatility, breadth, and volume—matter now, adjusts their weights, and shows you a probability line plus a forward arrow scaled by volatility. How to set it up. 1) Choose your horizon. Intraday scalps: 5–10 bars. Swings: 10–30 bars. The default of 14 bars is a balanced starting point. 2) Pick a feature mode. - components: granular and fast to adapt when leadership rotates between signals. - super: cleaner single driver; less noise, slightly slower to react. 3) Decide how signals are triggered. - Neutral band (probability based): intuitive and easy to tune. Widen the band for fewer, higher‑quality trades; tighten to catch more moves. - Z‑score thresholds: consistent numeric cutoffs that ignore base‑rate drift. 4) Keep reliability helpers on. Leave prior shift and calibration enabled to stabilize probabilities across bullish/bearish regimes. 5) Smoothing. A short EMA on the probability or score reduces whipsaws while preserving turns. 6) Overlay. The arrow shows the call and a volatility‑scaled reach for the next horizon. Treat it as guidance, not a promise. Reading the stats table. - Hit Rate with a confidence interval: your recent accuracy with an uncertainty range; trust the range, not only the point. - Brier Score: lower is better; it checks whether a stated “70%” really behaves like 70% over time. - Profit Factor, Net Return, Exposure: quick triage of tradability and signal density. - Average Return by Side: sanity‑check that the long and short calls each pull their weight. Typical adjustments. - Too many trades? Increase the neutral band or raise the z‑threshold. - Missing the move? Tighten the band, or switch to components mode to react faster. - Choppy timeframe? Lengthen the z‑score and correlation windows; keep calibration on. - Volatility regime change? Revisit the ATR multiplier and enable square‑root scaling of horizon. Execution and risk. - Size positions by volatility (ATR‑based sizing works well). - Enter on confirmed values; use intrabar previews only as early signals. - Combine with your market structure (levels, liquidity zones). This model is statistical, not clairvoyant. What it is not. Not a black‑box machine‑learning model. It is transparent, correlation‑weighted technical analysis with strong attention to probability reliability and repaint safety. Suggested defaults (robust starting point). - Horizon 14; components mode; weight EMA 10; correlation window 500; z‑length 200. - Neutral band around seven percentage points, or z‑threshold around one‑third of a standard deviation. - Prior shift ON, Calibration ON, Use calibrated for decisions OFF to start. - ATR multiplier 1.0; square‑root horizon scaling ON; EMA smoothing 3. - Confidence setting equivalent to about 95%. Disclaimer No indicator guarantees profits. HorizonSigma Pro is a decision aid; always combine with solid risk management and your own judgment. Backtest, forward test, and size responsibly. The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Enhance your trading precision and confidence 🚀 Best regards Chervolino
Indicatore Pine Script®
di chervolino
Liquidity Sweep Breakout - LSBLiquidity Sweep Breakout - LSB A professional session-based breakout system designed for OANDA:USDJPY and other JPY pairs. Not guesswork, but precision - built on detailed observation of institutional moves to capture clear trade direction daily. Master the Market’s Daily Bank Flow. --- Strategy Detail: I discovered this strategy after carefully studying how Japanese banks influence the forex market during their daily settlement period. Banks are some of the biggest players in the financial world, and when they adjust or settle their accounts in the morning, it often creates a push in the market. From years of observation, I noticed a consistent pattern, once banks finish their settlements, the market usually continues moving in the same direction that was formed right after those actions. This daily banking flow often sets the tone for the entire trading session, especially for JPY pairs like USDJPY. To capture this move, I built the indicator so that it follows the bank-driven trend with clear rules for entries, stop-loss (SL), and take-profit (TP). The system is designed with professional risk management in mind. By default, it assumes a $10,000 account size, risks only 1% of that balance per trade, and targets a 1:1.5 reward-to-risk ratio. This means for every $100 risked, the potential profit is $150. Such controlled risk makes the system safer and more sustainable for long-term traders. At the same time, users are not limited to this setup, they can adjust the account balance in the settings, and the indicator will automatically recalculate the lot size and risk levels based on their own capital. This ensures the strategy works for small accounts and larger accounts alike. 🌍 Why It Works Fundamentally driven: Based on **daily Japanese banking settlement flows**. Session-specific precision: Targets the exact window when USDJPY liquidity reshapes. Risk-managed: Always calculates lot size based on account and risk preferences. Automatable: With webhook + MT5 EA, it can be fully hands-free. --- ✅ Recommended Pair: USDJPY (best observed behavior). Timeframe: 3-Minute chart. Platform: TradingView Premium (for webhooks). Execution: MT5 via EA. --- 🔎 Strategy Concept The Tokyo Magic Breakout (TMB) is built on years of session observation and the unique daily rhythm of the Japanese banking system. Every morning between 5:50 AM – 6:10 AM PKT (09:50 – 10:10 JST), Japanese banks perform daily reconciliation and settlement. This often sets the tone for the USDJPY direction of the day. This strategy isolates that critical moment of liquidity adjustment and waits for a clean breakout confirmation. Instead of chasing noise, it executes only when price action is aligned with the Tokyo market’s hidden flows. --- 🕒 Timing Logic Session Start: 5:00 AM PKT (Tokyo market open range). Magic Candle: The 5:54 AM PKT candle is marked as the reference “breakout selector.” Checkpoints: First confirmation at 6:30 AM PKT, then every 15 minutes until 8:30 AM PKT. * If price stays inside the magic range → wait. * If a breakout happens but the candle wick touches the range → wait for the next checkpoint. * If by 8:30 AM PKT no clean breakout occurs → the day is marked as No Trade Day (NTD). 👉 Recommended timeframe: 3-Minute chart (3M) for precise signals. --- 📈 Trade Execution Entry: Clean break above/below the magic candle’s range. Stop-Loss: Opposite side of the Tokyo session high/low. Take-Profit: Calculated by Reward\:Risk ratio (default 1.5:1). Lot Size: Auto-calculated based on your risk model: * Fixed Dollar * % of Equity * Conservative (minimum of both). Visuals include: ✅ Entry/SL/TP lines ✅ Shaded risk (red) and reward (green) zones ✅ Trade labels (Buy/Sell with lot size & levels) ✅ TP/SL hit markers --- 🔔 Alerts & Automation (AutoTMB) This strategy is fully automation-ready with EA + MT5: 1. Enable alerts in TMB settings. 2. Insert your PineConnector License Key. 3. Configure your risk management preferences. 4. Create a TradingView alert → in the message box simply type: Pine Script® {{alert_message}} and set the EA webhook. Now, every breakout trade (with exact entry, SL, TP, and lot size) is sent instantly. 👉 On your MT5: * Install the EA. * Use the same license key. * Run it on a VPS or local MT5 terminal. You now have a hands-free trading system: AutoTMB.
Strategia Pine Script®
di humayunmha
MFI × RSI × VWAP Multi-Timeframe Suite# MFI × RSI × VWAP Multi-Timeframe Suite - Usage Guide & Precautions ## 📊 Indicator Overview This indicator integrates **RSI (Relative Strength Index)**, **MFI (Money Flow Index)**, and **VWAP (Volume Weighted Average Price)** for comprehensive multi-timeframe analysis. It provides high-precision trading signals through confluence analysis. ## 🎯 Primary Objectives - **Comprehensive trend analysis across short, medium, and long-term timeframes** - **Enhanced accuracy through multi-indicator confluence** - **Optimized entry and exit timing** --- ## 📈 Basic Interpretation ### 1. Main Plot Lines - **Blue Line (RSI)**: Price momentum - **Purple Line (MFI)**: Money flow momentum - **Orange Line (VWAP Relative)**: Relative position to VWAP (0-100 scale) ### 2. Background Color Meaning - **Green**: All indicators aligned bullishly (buying dominance) - **Red**: All indicators aligned bearishly (selling dominance) - **Color Intensity**: Strength of confluence ### 3. Signal Arrows - **🔼 Green Up Arrow**: Long signal - **🔽 Red Down Arrow**: Short signal - **🟠 Small Circles**: VWAP crossover signals --- ## 🎛️ Configuration Settings ### Basic Parameters ``` RSI Length: 14 (standard) MFI Length: 14 (standard) RSI Overbought: 70 RSI Oversold: 30 MFI Overbought: 80 MFI Oversold: 20 ``` ### VWAP Settings ``` VWAP Anchor: Session (use "Week" or "Month" for daily charts) Std Dev Multiplier: 2.0 (Bollinger Band-style application) ``` ### Multi-Timeframe Configuration ``` TF1: 15min (short-term) TF2: 1hour (medium-term) TF3: 4hour (long-term) TF4: Daily (trend) ``` --- ## 📋 Dashboard Interpretation ### Trend Strength Scores - **+70 to +100**: 💪 Very strong uptrend - **+30 to +69**: 🟢 Uptrend - **-29 to +29**: ➖ Sideways/No clear direction - **-30 to -69**: 🔴 Downtrend - **-70 to -100**: ⚠️ Very strong downtrend ### Consensus (Overall Assessment) Average score across all timeframes. **Absolute value ≥50** indicates strong trend. --- ## 🎯 Practical Trading Methods ### 🔵 Long Entry Conditions 1. **RSI crosses above MFI** OR **synchronized oversold exit** 2. **Price above VWAP** 3. **Multi-timeframe consensus is positive (+)** 4. **Green background (confluence present)** ### 🔴 Short Entry Conditions 1. **RSI crosses below MFI** OR **synchronized overbought exit** 2. **Price below VWAP** 3. **Multi-timeframe consensus is negative (-)** 4. **Red background (confluence present)** ### ⚡ Strongest Signals - **All timeframes align in trend direction** - **Consensus score ±70 or higher** - **🚀 STRONG display** --- ## ⏰ Timeframe-Specific Applications ### Scalping (1min-5min charts) - Focus on RSI/MFI crossovers - Target VWAP bounces - Require 15min+ timeframe trend filter ### Day Trading (15min-1hour charts) - Emphasize overbought/oversold exit signals - Follow 1hour to daily trend direction - Confirm with confluence background color ### Swing Trading (4hour-daily charts) - Prioritize daily+ consensus - Use weekly VWAP for big picture - Wait for multi-timeframe alignment --- ## 🚨 Alert Utilization ### Basic Alerts - **Long/Short Signal**: Basic entry signals - **Strong Consensus**: Powerful signals with multi-timeframe confluence - **VWAP Cross**: Important support/resistance breakouts ### Alert Configuration Example ``` Long Signal → Begin monitoring as candidate Strong Consensus + Long → Consider aggressive entry VWAP Bullish Cross → Potential trend reversal ``` --- ## ⚠️ Important Precautions & Limitations ### Avoiding False Signals 1. **Wait for multiple conditions to align simultaneously** 2. **Never trade against higher timeframe trends** 3. **Avoid major economic news releases** 4. **Exercise caution during extremely low volatility** ### Market Environment Adjustments - **Trending Markets**: Emphasize crossover signals - **Range-bound Markets**: Focus on overbought/oversold levels - **High Volatility**: Strengthen filters - **Low Volatility**: Adjust sensitivity ### Risk Management Rules 1. **Never risk more than 2% per trade** 2. **Always set stop-loss before entry** 3. **Use proper position sizing** 4. **Maintain trading journal** --- ## 🎓 Learning & Improvement Guidelines ### Backtesting Recommendations - **Test on 6+ months of historical data** - **Verify performance across different market conditions** - **Adapt settings to your trading style** ### Continuous Optimization - **Track win rate and risk-reward ratios** - **Analyze performance by timeframe** - **Measure impact of parameter adjustments** --- ## 🚫 Critical Don'ts ### Never Do These: ❌ **Trade during major news events** (FOMC, NFP, CPI) ❌ **Ignore higher timeframe bias** ❌ **Chase signals after they've already moved significantly** ❌ **Override risk management rules** ❌ **Trade when emotionally compromised** ### Red Flags - Stop Trading When: ⚠️ **Consensus shows conflicting signals across timeframes** ⚠️ **VWAP shows choppy, directionless movement** ⚠️ **Multiple false signals occur consecutively** ⚠️ **Market volatility exceeds 300% of normal levels** --- ## 📊 Performance Monitoring ### Daily Checklist ``` □ Check overall market sentiment □ Verify economic calendar for news events □ Review multi-timeframe alignment □ Confirm proper risk management setup □ Monitor position sizing appropriateness ``` ### Weekly Review ``` □ Analyze win rate by timeframe □ Review entry/exit execution quality □ Assess adherence to trading rules □ Identify pattern improvements □ Adjust parameters if necessary ``` ### Monthly Evaluation ``` □ Calculate overall profitability □ Review maximum drawdown periods □ Assess emotional discipline □ Update trading plan based on results □ Consider strategy refinements ``` --- ## 🎖️ Advanced Tips for Professionals ### Multi-Monitor Setup ``` Primary Screen: Main chart with indicator Secondary Screen: Multi-timeframe view Third Screen: Economic calendar + news Mobile Device: Alert notifications ``` ### Professional Entry Techniques 1. **Wait for 2+ confluence factors** 2. **Confirm with volume analysis** 3. **Use limit orders near VWAP levels** 4. **Scale into positions on strong signals** ### Exit Strategy Optimization 1. **Take partial profits at key levels** 2. **Trail stops on trending moves** 3. **Exit immediately on trend reversal signals** 4. **Honor predetermined risk-reward ratios** --- ## ⚡ Quick Reference Card ### Best Practices Summary ✅ **Always check higher timeframe first** ✅ **Wait for confluence of multiple indicators** ✅ **Use proper position sizing** ✅ **Set stops before entering** ✅ **Follow your trading plan strictly** ### Signal Reliability Ranking 1. **🚀 Strong Consensus** (Highest reliability) 2. **Multi-timeframe alignment** (High reliability) 3. **VWAP + RSI/MFI confluence** (Medium-high reliability) 4. **Single timeframe signals** (Medium reliability) 5. **Isolated crossovers** (Lowest reliability) --- ## 🔧 Troubleshooting Common Issues ### If Signals Are Too Frequent: - Increase RSI/MFI periods - Tighten overbought/oversold levels - Add more confluence requirements - Use higher timeframe bias ### If Signals Are Too Rare: - Decrease RSI/MFI periods - Widen overbought/oversold levels - Reduce confluence requirements - Lower signal smoothing value ### If Accuracy Is Poor: - Review market conditions compatibility - Strengthen higher timeframe filters - Improve risk management - Consider different timeframe combinations **Remember**: This indicator is a comprehensive analysis tool. It's **not perfect in isolation** and must be used with proper **risk management** and **market understanding**!
Indicatore Pine Script®
di okinawan21
EdgeFlow Pullback [CHE]EdgeFlow Pullback \ — Icon & Visual Guide (Deep Dive) TL;DR (1-minute read) ⏳ Hourglass = Pending verdict. A countdown runs from the signal bar until your Evaluation Window ends. ✔ Checkmark (green) = OK. After the evaluation window, price (HLC3) is on the correct side of the EMA144 for that signal’s direction. ✖ Cross (red) = Fail. After the evaluation window, price (HLC3) is on the wrong side of the EMA144. ▲ / ▼ Triangles = the actual PB Long/Short signal bar (sequence completed in time). Small lime/red crosses = visual markers when HLC3 crosses EMA144 (context, not trade signals). Orange line = EMA144 (baseline/trend filter). T3 line color = Context signal: green when T3 is below HLC3, red when T3 is above HLC3. Icon Glossary (What each symbol means) 1) ⏳ Hourglass — “Pending / Countdown” Appears immediately when a PB signal fires (Long or Short). Shows `⏳ currentBars / EvaluationBars` (e.g., `⏳ 7/30`). The label stays anchored at the signal bar and its original price level (it does not drift with price). During ⏳ you get no verdict yet. It’s simply the waiting period before grading. 2) ✔ Checkmark (green) — “Condition met” Appears after the Evaluation Window completes. Logic: Long signal: HLC3 (typical price) is above EMA144 → ✔ Short signal: HLC3 is below EMA144 → ✔ The label turns green and text says “✔ … Condition met”. This is rules-based grading, not PnL. It tells you if the post-signal structure behaved as expected. 3) ✖ Cross (red) — “Condition failed” Appears after the Evaluation Window completes if the condition above is not met. Label turns red with “✖ … Condition failed”. Again: rules-based verdict, not a guarantee of profit or loss. 4) ▲ “PB Long” triangle (below bar) Marks the exact bar where the 4-step Long sequence completed within the allowed window. That bar is your signal bar for Long setups. 5) ▼ “PB Short” triangle (above bar, red) Same as above, for Short setups. 6) Lime/Red “+” crosses (tiny cross markers) Lime cross (below bar): HLC3 crosses above EMA144 (crossover). Red cross (above bar): HLC3 crosses below EMA144 (crossunder). These crosses are context markers; they’re not entry signals by themselves. The Two Clocks (Don’t mix them up) There are two different time windows at play: 1. Signal Window — “Max bars for full sequence” A pullback signal (Long or Short) only fires if the 4-step sequence completes within this many bars. If it takes too long: reset (no signal, no triangle, no label). Purpose: avoid stale setups. 2. Evaluation Window — “Evaluation window after signal (bars)” Starts after the signal bar. The label shows an ⏳ countdown. When it reaches the set number of bars, the indicator checks whether HLC3 is on the correct side of EMA144 for the signal direction. Then it stamps the signal with ✔ (OK) or ✖ (Fail). Timeline sketch (Long example): ``` → ▲ PB Long at bar t0 Label shows: ⏳ 0/EvalBars t0+1, t0+2, ... t0+EvalBars-1 → still ⏳ At t0+EvalBars → Check HLC3 vs EMA144 Result → ✔ (green) or ✖ (red) (Label remains anchored at t0 / signal price) ``` What Triggers the PB Signal (so you know why triangles appear) LONG sequence (4 steps in order): 1. T3 falling (the pullback begins) 2. HLC3 crosses under EMA144 3. T3 rising (pullback ends) 4. HLC3 crosses over EMA144 → PB Long triangle SHORT sequence (mirror): 1. T3 rising 2. HLC3 crosses over EMA144 3. T3 falling 4. HLC3 crosses under EMA144 → PB Short triangle If steps 1→4 don’t complete in time (within Max bars for full sequence), the sequence is abandoned (no signal). Lines & Colors (quick interpretation) EMA144 (orange): your baseline trend filter. T3 (green/red): Green when T3 < HLC3 (price above the smoothed path; often supportive in up-moves) Red when T3 > HLC3 (price below the smoothed path; often pressure in down-moves) HLC3 (gray): the typical price the logic uses ( (H+L+C)/3 ). Label Behavior (anchoring & cleanup) Each signal creates one label at the signal bar with ⏳. The label is position-locked: it stays at the same bar index and y-price it was born at. After the evaluation check, the label text and color update to ✔/✖, but position stays fixed. The indicator keeps only the last N labels (your “Show only the last N labels” input). Older ones are deleted to reduce clutter. What You Can (and Can’t) Infer from ✔ / ✖ ✔ OK: Structure behaved as intended during the evaluation window (HLC3 finished on the correct side of EMA144). Inference: The pullback continued in the expected direction post-signal. ✖ Fail: Structure ended up opposite the expectation. Inference: The pullback did not continue cleanly (chop, reversal, or insufficient follow-through). > Important: ✔/✖ is not profit or loss. It’s an objective rule check. Use it to identify market regimes where your entries perform best. Input Settings — How they change the visuals T3 length: Shorter → faster turns, more signals (and more noise). Longer → smoother turns, fewer but cleaner sequences. T3 volume factor (0–1, default 0.7): Higher → more curvature/smoothing. Typical sweet spot: 0.5–0.9. EMA length (baseline) default 144: Smaller → faster baseline, more cross events, more aggressive signals. Larger → slower, stricter trend confirmation. Max bars for full sequence (signal window): Smaller → only fresh, snappy pullbacks can signal. Larger → allows slower pullbacks to complete. Evaluation window (after signal): Smaller → verdict arrives quickly (less tolerance). Larger → gives the trade more time to prove itself structurally. Show only the last N labels: Controls chart clutter. Increase for more history, decrease for focus. (FYI: The “Debug” toggle exists but doesn’t draw extra overlays in this version.) Practical Reading Flow (how to use visuals in seconds) 1. Triangles catch your eye: ▲ for Long, ▼ for Short. That’s the setup completion. 2. ⏳ label starts—don’t judge yet; let the evaluation run. 3. Watch EMA slope and T3 color for context (trend + pressure). 4. After the window: ✔/✖ stamps the outcome. Log what the market was like when you got ✔. Common “Why did…?” Questions Q: Why did I get no triangle even though T3 turned and EMA crossed? A: The 4 steps must happen in order and within the Signal Window. If timing breaks, the sequence resets. Q: Why did my label stay ⏳ for so long? A: That’s by design until the Evaluation Window completes. The verdict only happens at the end of that window. Q: Why is ✔/✖ different from my PnL? A: It’s a structure check, not a profit check. It doesn’t know your entries/exits/stops. Q: Do the small lime/red crosses mean buy/sell? A: No. They’re context markers for HLC3↔EMA crosses, useful inside the sequence but not standalone signals. Pro Tips (turn visuals into decisions) Entry: Use the ▲/▼ triangle as your trigger, in trend direction (check EMA slope/market structure). Stop: Behind the pullback swing around the signal bar. Exit: Structure levels, R-multiples, or a reverse HLC3↔EMA cross as a trailing logic. Tuning: Intraday/volatile: shorter T3/EMA + tighter Signal Window. Swing/slow: default 144 EMA + moderate windows. Learn quickly: Filter your chart to show only ✔ or only ✖ windows in your notes; see which sessions, assets, and volatility regimes suit the system. Disclaimer No indicator guarantees profits. Sweep2Trade Pro \ is a decision aid; always combine with solid risk management and your own judgment. Backtest, forward test, and size responsibly. The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Enhance your trading precision and confidence 🚀 Happy trading Chervolino
Indicatore Pine Script®
di chervolino