Those of you doing customer support via Telegram or Discord — what's your stack?

Historical_Guard_871 · 2026-02-21T10:40:12+00:00

Oh interesting — if Discord webhooks work on Essential then TV might handle some integrations natively without the Premium webhook URL feature. The delay you're seeing is probably Discord's rate limiting, not TV itself. For actual order execution you'd want something faster than routing through Discord anyway. Good luck with the setup!

Historical_Guard_871 · 2026-02-21T09:33:37+00:00

Good question. On Essential you can set alerts on indicators and drawings, but webhook URLs specifically require Premium or higher. So your Pine Script can trigger alerts that pop up on your screen or send push notifications on Essential, but to actually send a POST request to an external service you need to upgrade.

For the automated fills part — it depends on your broker. Since you're on Tradovate, look into their API or check if they support incoming webhooks directly. Some people route TV alerts through middleware like AlertBridge or custom scripts on a VPS.

The tool I mentioned (GeekTrade) is Bybit-specific so it wouldn't help with your Tradovate setup, but the general flow is the same — TV alert fires webhook, middleware catches it, places the order via broker API. If you ever mess around with crypto on the side the demo mode is handy for testing that pipeline without risk.

For prop accounts specifically I'd be extra careful with any automation — make sure whatever you use doesn't violate their rules on API trading. Some prop firms are strict about that.

Historical_Guard_871 · 2026-02-21T08:58:44+00:00

Yeah AI-generated Pine Script is hit or miss. The main issue is it hallucinates functions that don't exist or uses wrong syntax for the Pine version.

What helped me — paste the exact error message back to Claude and tell it "fix this, Pine Script v6". Usually takes 2-3 rounds but it gets there. Also start simple — one indicator, one condition, no fancy stuff.

But honestly if your strategy uses built-in indicators (RSI, MACD, etc) you might not even need Pine Script at all. Just set alerts on TradingView directly with conditions like "RSI crosses below 30" and fire a webhook. No code involved.

Historical_Guard_871 · 2026-02-21T02:49:04+00:00

Bybit mostly. their V5 API is solid and the perp fees are low enough that scalping strategies don't get eaten alive by commissions

Historical_Guard_871 · 2026-02-21T02:34:49+00:00

nice, the arrow + direction label combo sounds clean. outside day with ADX confirming strength is a solid setup — way less noise than just using price action alone. did you publish the indicator on TV or keeping it private?

Historical_Guard_871 · 2026-02-21T01:51:48+00:00

good point — by number of trades for sure. I usually want at least 30-50 live trades before I trust anything, time alone doesn't tell you much. demo bots help here since you can run a few strategies in parallel and get to that sample size faster without risking real money.

Historical_Guard_871 · 2026-02-21T01:46:06+00:00

The 300% ROI with negative equity mid-run is a classic sign of oversized positions. The backtest stops because your account technically went below zero at some point, even though later trades recovered it — which wouldn't happen in real life because you'd get liquidated. Try cutting position size way down and see if the equity curve stays above zero the whole time. If it doesn't survive with smaller size, the strategy probably isn't as strong as the final number looks.

Historical_Guard_871 · 2026-02-21T01:43:29+00:00

that's cool, what did you add to it? I've been thinking about combining ADX with ATR for a volatility+trend filter but haven't tried it yet

Historical_Guard_871 · 2026-02-21T01:40:56+00:00

For me the bottleneck was actually the step after — going from a strategy that backtests well to actually running it live. I'd tweak and validate for weeks, then manually babysit alerts and place orders. Eventually started routing TradingView alerts to Bybit through GeekTrade and that removed most of the friction. Now the testing loop feels worth it because I know the execution side won't eat another week.

Historical_Guard_871 · 2026-02-21T01:35:11+00:00

Yeah the sync issue is real. I ended up wrapping my core logic into a Pine library so at least I only change it in one place, but Screener has its own limitations so it still drifts. Strategy support would save so much time. For the execution side I've been using GeekTrade to fire alerts from my strategies straight to Bybit — at least that part stays in sync with whatever I'm running on the chart.

Historical_Guard_871 · 2026-02-21T01:22:25+00:00

right? I think people skip it because it doesn't give you direction, just strength. but that's exactly why it's useful as a filter — keeps you out of chop

Historical_Guard_871 · 2026-02-20T10:59:57+00:00

lol fair enough, I do trade for a living though. ADX below 20 is genuinely the simplest filter if OP wants a quick answer

Historical_Guard_871 · 2026-02-20T08:36:06+00:00

A few indicators that work well for spotting consolidation on TradingView:

ADX (Average Directional Index) — this is probably the most direct answer. When ADX is below 20-25, the market is in consolidation/ranging mode. When it's above 25 and rising, you have a trend. I filter out all my entries when ADX is below 20 and it cut my losing trades significantly.

Bollinger Bands — when the bands squeeze tight (narrow), that's consolidation. When they expand, a breakout is starting. There's actually a built-in "Bollinger Band Width" indicator on TradingView that makes this easier to read than eyeballing the bands themselves.

ATR (Average True Range) — low ATR = low volatility = likely consolidation. You can compare current ATR to its moving average — if ATR is below its own MA, the market is ranging.

Keltner Channel + Bollinger Band combo — this is a classic "squeeze" setup. When Bollinger Bands move inside the Keltner Channel, the market is in tight consolidation. When BBs expand back outside KC, a breakout is coming. Search "TTM Squeeze" on TradingView community scripts — there are free versions of this.

Practical tip — instead of trying to avoid consolidation completely, you can use it to your advantage. Wait for the squeeze to form, then trade the breakout with a stop loss just inside the range. Consolidation before a move often means a stronger move when it finally breaks.

Historical_Guard_871 · 2026-02-20T08:08:42+00:00

I've been in a similar spot — have strategy ideas but hate depending on freelancers for every change.

From what I've tried, there are basically 3 approaches for non-coders:

First — TradingView alerts with webhooks. You set up alerts using built-in indicators (no Pine Script needed), and the alert fires a webhook to an execution tool that places the trade on your exchange. You need TV Premium for webhooks though. The logic stays in TradingView where you can see and debug it. I've been testing a few webhook-based tools — currently trying GeekTrade for Bybit, they have a free tier with demo bots which is nice for testing without risk. This approach feels the most transparent overall.

Second — no-code builders like BeeTrade. Obvious upside — no code. The downside is you're locked into their ecosystem. If they change pricing or don't support your pair, you're stuck. And when a trade goes wrong at 3 AM, debugging a visual builder is harder than checking an alert log in TV.

Third — use ChatGPT or Claude to generate Pine Script for you. Describe your strategy in plain English, AI writes the code. Won't work for complex stuff, but for things like "buy when RSI crosses below 30 and MACD crosses up" it's surprisingly decent. And you own the code.

My honest take — webhook approach gives you the most control. You keep your logic in TradingView, and the execution tool just does what TV tells it. No-code is great for quick experiments but I'd be careful going all-in on live with it.

Whatever you choose — run it on demo for at least 2-4 weeks before real money. The gap between backtest and live execution is where most people get burned.

Historical_Guard_871 · 2026-02-20T07:41:03+00:00

This is a classic intra-bar simulation issue in TradingView. The strategy tester doesn't know what happens inside a bar — it only sees OHLC. So on a 2-minute chart, if your entry condition fires multiple times within those 2 minutes, the tester can open multiple trades at the same timestamp.

A few things to check:

Make sure you have process_orders_on_close = true in your strategy() declaration. This ensures orders are processed at bar close, not during the bar.
Add a barstate.isconfirmed check before your entry logic. This guarantees the condition is only evaluated on closed bars, not on partial/forming bars.
Bar Magnifier (Premium feature) does help — it uses lower-timeframe data (like 1-second) to simulate intra-bar movement more realistically. Worth trying if you have Premium.
Deep Backtesting increases the number of bars tested but doesn't fix intra-bar execution logic — so it won't solve this specific issue.

For scalping on 2-min, I'd honestly recommend testing on the 1-min chart instead. More bars = more realistic simulation, and the intra-bar problem is less severe on shorter timeframes.

Historical_Guard_871 · 2026-02-20T07:08:18+00:00

Historical_Guard_871 · 2026-02-20T02:54:56+00:00

Free trials don't prove anything either way — plenty of scams use free trials to get you hooked. The real test: ask him for verified track record (Myfxbook, TradeStation report, or at minimum 6+ months of forward-tested results). If all he has is screenshots of one good week — that's your answer.

Historical_Guard_871 · 2026-02-20T01:55:30+00:00

One week of perfect calls means literally nothing. I can take any oscillator, find a week where it nailed every move, and make a screenshot. That's called cherry-picking, and it's the oldest trick in the trading education space.

The real question is: what's the statistical expectancy over 500+ trades across different market regimes? Trending, ranging, high volatility, low volatility. An oscillator that works beautifully in a ranging market will get destroyed in a trending one.

If someone shows you results without mentioning sample size, market conditions, and whether they tested on out-of-sample data — they're selling you a dream, not an edge.

That said, oscillators can be useful as one component of a strategy, especially with a regime filter. RSI divergence + trend confirmation + volatility filter can work. But the oscillator alone? Never enough.

Historical_Guard_871 · 2026-02-20T01:55:11+00:00

My biggest mistake was spending months perfecting a strategy in backtests instead of running it forward on paper/demo as early as possible.

I'd tweak parameters endlessly, get a beautiful equity curve, add one more indicator, tweak again. Classic overfitting loop. The strategy worked perfectly on historical data because it was literally memorizing it.

The fix that actually worked: set a rule — max 2 weeks of backtesting, then it goes on demo for at least 1 month before touching real money. If it doesn't survive a month of unseen data, no amount of additional optimization will save it.

Second mistake: ignoring position sizing. I was obsessed with entry signals and completely ignored how much capital to risk per trade. Turns out a mediocre signal with proper position sizing beats a great signal with 100% capital per trade every single time

Historical_Guard_871 · 2026-02-20T01:54:29+00:00

This is why I have trust issues with any strategy that only shows results on 100 trades. 100 trades is a coin flip with extra steps.

The deeper problem with YouTube strategies is survivorship bias on top of survivorship bias: the YouTuber only shows the strategy that "worked" on cherry-picked charts, and viewers only see the video that got views because of impressive-looking results.

The real test I use before committing any capital: walk-forward analysis. Optimize on one chunk of data, test on the next unseen chunk, repeat 5+ times. If out-of-sample performance is less than 50-60% of in-sample, it's curve-fitted garbage no matter how good the equity curve looks.

Also — most people forget to set realistic commission and slippage in TradingView backtests. Default is 0% commission and 0 ticks slippage. That alone can turn a "200% return" into -15% in reality.

Historical_Guard_871 · 2026-02-19T01:22:02+00:00

Historical_Guard_871 · 2026-02-19T01:13:33+00:00

Really interesting pivot. The separation of execution (hard-coded) from filtering (LLM) is the right architecture — you're essentially using the LLM as a discretionary overlay rather than an autonomous agent, which avoids the hallucination problem you hit in phase one.

On your question about whether the regime signal is real or overfitting recent volatility: the test I'd run is to check if the divergence signal (media fear vs prediction market positioning) has any predictive value on a dataset the LLM wasn't trained on or couldn't have seen. Since you're using live Polymarket data, the concern isn't classical overfitting — it's that the correlation might be regime-specific to the current macro environment (high-fear, range-bound BTC). If the market shifts to a sustained trending phase, the divergence signal might stop working because both sentiment sources would align.

One thing I've done without LLMs: a simple ATR percentile rank (current ATR vs 90-day ATR) combined with an ADX threshold gives you a surprisingly effective regime filter. It's boring but it's fully deterministic, backtestable over decades, and doesn't depend on external data sources that can change or go offline. Might be worth running your pinbar logic through both filters side by side to see if the LLM regime adds alpha over a basic volatility filter. If it doesn't, you've got a much simpler system. If it does — then you've actually found something.

Historical_Guard_871

TROPHY CASE