# TradingView bot automation is unreliable and hard
> Source report: https://painfinder.app/reports/tradingview-bot-automation-is-unreliable-and-hard

## 1. What we're building
Build a “TradingView Bot Reliability & Validation” platform that turns TradingView alerts/strategies into dependable execution with realistic testing and built-in risk controls. The core must-haves inferred from feature asks are: (1) integrate risk management with automatic shutdowns and limits (max daily drawdown/goal/trade count) plus auto SL/TP; (2) provide an execution layer that can automate directly from TradingView alerts without forcing users to duct-tape custom bots; (3) add realistic backtest/tester configuration with hardcoded commission and slippage properties so users can model fills more faithfully; and (4) include a robust fail-safe system (worst-case stops, position sizing rules, and guardrails) for when webhooks/orders fail.

To address the ecosystem pain, the product should also include: (5) paper-trade/simulator modes designed to work under higher load/market-open scenarios (explicitly fixing the “paper trading lag/broken” experience); (6) broker/execution validation tooling with audit logs and transparency dashboards (metrics like max drawdown, risk per trade, losing streaks) so users can trust outcomes; and (7) workflow features for non-programmers, including no-code bot configuration and “AI agent/system” style workflow execution beyond chat (moving from “strategy description” to staged execution). Finally, add analytics around data quality (missing candles/feeds), and scam-safety UX guidance for avoiding “AI indicator” and “free premium” malware patterns, so users don’t compromise their accounts while trying to automate.

**Working name:** TV BotGuard
**Tagline:** TradingView alerts → reliable execution with realistic fills, SL/TP, and auto shutdown.
**Main goal:** Make TradingView-alert trading dependable by validating execution with realistic simulation and enforcing hard risk/shutdown controls.
**Target users:** Solo and small teams automating trades from TradingView alerts who need trustworthy risk-limited execution without maintaining custom bots.

**Main user result:** After configuring a TradingView webhook and broker target, the user can run a reliability validation and trust an execution that cannot silently overtrade on failures.
**5-minute outcome:** In 5 minutes, the user creates a webhook endpoint, maps one alert to an order intent, runs paper execution with fixed commission/slippage, and views guardrails + audit logs.
**What we solve first:** A reliability-first execution pipeline with realistic fill modeling, auto SL/TP, and risk shutdown/fail-safe lockout on failures.
**Out of scope for MVP:**
- Full multi-broker coverage
- AI natural-language strategy generation
- Order/position reconciliation across all broker edge cases

## 2. Why this is worth building
- Verdict: **HIGH** (97/100)
- The corpus repeatedly confirms that “tradingview bots” fail in practice due to execution reliability (lag, broken close orders, paper trading issues) and backtest realism gaps (unrealistic fills, missing slippage/spread/fees). Users also ask for automation without ongoing manual monitoring, but only if the system includes strong risk guardrails and operational plumbing (webhook-to-broker execution with fail-safe behavior). The combination of operational risk, validation difficulty, UX churn, and recurring scam/malware concerns increases urgency and makes the problem high-impact for bot-oriented traders.

**Current pain:** Users report high unreliability and stress when routing TradingView webhooks to real execution, plus data quality issues that invalidate results. Paper trading can be laggy/broken, and failures often leave users with no safe “worst-case” behavior.
**Current workaround:** Users either execute manually (TradingView + broker click) or rely on third-party alert routers with limited validation, then babysit and restart/resync when things go wrong.
**Why existing tools fail:** Existing tools focus on alert forwarding or in-platform testing, but they don’t hardcode realistic commission/slippage + passive-fill divergence, nor do they enforce broker/webhook fail-safe stop/shutdown semantics with transparent audit logs.

## 3. Must-have capabilities
### 3.1 TradingView-alert-driven execution (no custom bot)
**Why:** Users want automation directly from TradingView alerts without duct-taping scripts/bots.

### 3.2 Integrated risk management with auto shutdowns (daily drawdown, goals, trade count)
**Why:** Reliable bots require hard limits that stop trading when risk thresholds are hit.

### 3.3 Automatic SL/TP per trade (including dynamic SL/TP rules)
**Why:** Users explicitly require auto stop loss and take profit, including non-fixed/dynamic behavior.

### 3.4 Realistic backtest/paper execution fill model (commission + slippage hardcoded)
**Why:** Backtests must match reality; users call out unrealistic “zero slippage, zero spread, and perfect fills.”

### 3.5 Queue-position/slippage modeling for passive limits (diverge live vs backtest)
**Why:** Limit fills differ due to queue priority, liquidity movement, and cancellations; users demand quantification.

### 3.6 Fail-safe system for webhook/order failures (worst-case stop behavior + position sizing guardrails)
**Why:** Bots must safely stop when orders/webhooks fail, rather than continue blindly.

### 3.7 Paper-trade/simulator mode that works at high volume (no lag/broken errors)
**Why:** Users report paper trading delays/errors and want it to work as advertised under load.

### 3.8 Execution simulator with realistic ETF rotation / monthly regime testing (not only day trading)
**Why:** Users want simulator backtests for ETF rotation and longer-horizon rules with realistic behavior.

### 3.9 Execution + data quality diagnostics (missing candles/feeds; analytics dashboards)
**Why:** Reliability depends on data correctness; users explicitly ask to fix missing candles without restarts.

### 3.10 Audit logs + transparency dashboards (trust metrics beyond raw PNL)
**Why:** Users want trust: metrics like max drawdown, risk per trade, losing streaks, and transparency.

### 3.11 Non-programmer workflow builder (AI agent/system style staged execution)
**Why:** Users want non-coders to go from strategy description to staged execution, with AI agent/system workflows.

### 3.12 Execution connector for common brokers/exchanges + auto-import of positions/data (no CSV babysitting)
**Why:** Users want auto import from TradingView/IBKR instead of manual CSV uploads; reduce setup friction.

## 4. Use cases & user stories
A web SaaS where users ingest TradingView webhooks, map them into normalized order intents, validate them via a realistic paper execution model (fixed commission/slippage + basic passive queue divergence), and then run live with strict risk shutdowns and worst-case fail-safe behavior. Includes audit logs and dashboards so users can verify what happened and why trading stopped.

### Use cases
**4.1 Reliability-first day trader uses TradingView alerts with hard risk shutdowns**
A retail day trader builds a TradingView strategy and enables alerts, then routes them into the platform. Before going live, they run the same rules through the platform’s realistic backtester with fixed commission+slippage and queue-aware passive fill modeling. In live mode, every order is wrapped with guardrails: auto SL/TP placement, max daily drawdown/goals, and an automatic shutdown after a trade limit to prevent overtrading. If a webhook or order fails, the fail-safe system enforces worst-case safe behavior and stops new entries until the system is explicitly reset.

**4.2 ETF rotation investor runs monthly regime simulations with realistic fills**
An investor automates a rotation strategy (e.g., SPY/QQQ/IWM/defensive ETFs) using TradingView alerts and then validates it in the platform’s simulator. They test monthly rotations across date ranges to compare performance under different regimes and verify fills using realistic slippage/commission and passive-limit divergence behavior. The platform also tracks data-quality issues (e.g., missing candles/feeds) so the simulated results are trustworthy. When they switch to paper mode, the simulator is designed to keep up at high volume without the delays/errors that make paper trading unusable.

### User stories
- **As a Solo trader using TradingView alerts**, I want to execute trades from TradingView webhooks without building or maintaining a custom bot, while always having automatic risk shutdowns and SL/TP, *so that* my automation doesn’t silently overtrade and my losses are capped even if orders/webhooks partially fail.
- **As a Non-programmer options trader**, I want to describe a strategy in natural language and get a fully executed backtest (no code), then refine it with staged steps like adding stop loss and testing specific date subsets, *so that* I can validate and trust the bot’s behavior without PineScript expertise or endless manual tweaking.

## 5. Pages & form factor
**Form factor:** Web SaaS execution + validation platform (TradingView alert intake, risk controls, simulator, broker adapters)
**Why:** Users want no-code/low-code TradingView-alert-driven automation with strong guardrails, paper/live parity, and trust via audit logs. Web SaaS is the most reliable way to centralize validation, queue/slippage modeling, fail-safe shutdowns, and broker/webhook integrations.

### Pages
**5.1 Execution Dashboard**
Single pane of glass for live/paper/sim status: queue health, recent executions, and risk lockouts.
Key elements:
- Live/Paper mode selector
- Today’s risk status (drawdown, goals, trade-count shutdown)
- Execution queue health + webhook/order failure counters
- Recent order attempts + outcomes (filled/partially filled/rejected)
- Run-state banner (Running / Paused / Fail-safe Shutdown)

**5.2 TradingView Alert Setup**
Configure alert ingestion and mapping from TradingView webhooks to platform order intents.
Key elements:
- Webhook endpoint URL + secret
- Alert payload preview + schema validator
- Mapping rules: symbol, side, qty, order type, SL/TP mode
- Test webhook button with replay
- Per-strategy enable/disable toggle

**5.3 Risk Controls & Guardrails**
Set risk limits, auto shutdown rules, and worst-case behavior when execution is uncertain.
Key elements:
- Daily drawdown limit (auto close + lockout)
- Daily profit goal (auto stop)
- Max trades/day counter + stop entering after threshold
- Position sizing guardrails (max notional, max contracts)
- Fail-safe policy dropdown (worst-case stop behavior)

**5.4 Execution Simulator & Validation**
Realistic paper/sim execution to validate fills, commission/slippage, and queue/passive behavior before live.
Key elements:
- Mode selector: Paper / Backtest Fill Model / Live-Replay
- Commission + slippage parameters (locked by defaults)
- Queue-position/passive limit fill model controls
- Run timeline: signal -> order -> fill -> SL/TP events
- Results: fill-rate, divergence live vs sim, risk limit trips

**5.5 Broker Connections**
Connect broker accounts and verify order acceptance, position sync, and failure handling.
Key elements:
- Broker adapter cards (supported brokers)
- Account verification status + last sync timestamp
- Order placement diagnostics (accept/reject)
- Position sync checker (expected vs actual)
- Webhook replay + reconciliation tools

**5.6 Trades & SL/TP Tracker**
Audit and visualization of each executed trade: entry, auto SL/TP, exits, and realized P&L.
Key elements:
- Trade list with status filters (open/closed/rejected)
- Auto-derived SL/TP visualization per trade
- Event log: order submitted, fill partial, SL triggered, TP triggered
- Risk labels: risk-per-trade, sizing basis
- Downloadable trade audit CSV

**5.7 Strategy Config & Dynamic SL/TP Rules**
Configure how the platform interprets alerts into concrete orders with dynamic SL/TP rules.
Key elements:
- SL/TP mode selection (fixed vs dynamic)
- Dynamic rule builder (e.g., ATR, recent swing, volatility buckets)
- Risk% + stop-distance sizing mode
- Alert-to-order mapping preview
- Versioned strategy configs

**5.8 Audit Logs & Trust Center**
Transparent, searchable logs for webhook receipt, order intents, broker responses, and reconciliation decisions.
Key elements:
- Search by strategy, symbol, timestamp, alert-id, correlation-id
- Webhook events timeline viewer
- Execution outcome trace (signal -> order -> fill -> reconcile)
- Discrepancy reports (sim vs live divergence)
- Export log bundle

### Key functions
- **Create webhook endpoint** *[on: TradingView Alert Setup]*
  - Trigger: User clicks 'Generate endpoint' and copies URL/secret
  - Creates a per-tenant/per-strategy webhook endpoint with a secret key and shows required payload fields.
- **Replay test alert** *[on: TradingView Alert Setup]*
  - Trigger: User clicks 'Replay last webhook' or 'Send test payload'
  - Replays a captured TradingView webhook through the full mapping pipeline in Paper mode and returns the resulting order intent.
- **Map alert fields to order intent** *[on: TradingView Alert Setup]*
  - Trigger: User sets mapping rules and saves
  - Maps alert payload values (ticker, side, quantity, limit/market hints, SL/TP signals) into a normalized internal order schema.
- **Enable fail-safe shutdown** *[on: Risk Controls & Guardrails]*
  - Trigger: User sets daily limits and toggles 'Arm fail-safe shutdown'
  - Arms automatic close-and-lockout when drawdown/goal/trade-count thresholds are hit, ensuring no further entries for the day.
- **Set max trades per day** *[on: Risk Controls & Guardrails]*
  - Trigger: User updates 'Max trades/day' slider or input
  - Updates a counter and blocks new entries once the limit is reached.
- **Auto-close positions on daily drawdown** *[on: Risk Controls & Guardrails]*
  - Trigger: Risk engine detects daily drawdown breach
  - Automatically closes all positions in-scope and places the strategy into a no-new-trades state for the remainder of the day.
- **Derive SL/TP from strategy rules** *[on: Strategy Config & Dynamic SL/TP Rules]*
  - Trigger: User selects SL/TP mode and saves
  - Generates concrete SL/TP levels per trade using fixed or indicator-driven dynamic rules.
- **Size position by risk% and stop distance** *[on: Strategy Config & Dynamic SL/TP Rules]*
  - Trigger: User selects sizing mode '1% risk, balance'
  - Automatically recalculates position size when SL changes so risk-per-trade stays constant.
- **Run fill-model paper execution** *[on: Execution Simulator & Validation]*
  - Trigger: User clicks 'Run Paper Validation'
  - Runs the selected strategy against historical signals using a realistic fill model with hardcoded commission and slippage assumptions.
- **Model passive limit queue divergence** *[on: Execution Simulator & Validation]*
  - Trigger: User enables 'Conservative queue/slippage model'
  - Applies queue-position/slippage modeling to estimate missed/late fills for passive limits vs live execution.
- **Reconcile broker position sync** *[on: Broker Connections]*
  - Trigger: User clicks 'Sync now' or after an execution event
  - Validates that broker-reported positions match expected intents and flags discrepancies in the Audit Log.
- **Generate trade audit bundle** *[on: Audit Logs & Trust Center]*
  - Trigger: User selects time range and clicks 'Export bundle'
  - Exports a zipped set of webhook events, order intents, broker responses, reconciliation decisions, and divergence notes.

### UX details
- **Dashboard:** Show a prominent Run-State banner (Running / Paused / Fail-safe Shutdown) and block manual mode switches while a shutdown is armed.
- **Risk Controls UI:** Disable 'Arm' unless daily limits include at least one of: drawdown/goal/trade-count; display inline rationale for what will happen when breached.
- **Execution Simulator:** Label fill model outputs with a 'Divergence risk' score (sim vs live), specifically highlighting passive limit queue uncertainty.
- **Execution Simulator:** Use locked default assumptions for commission/slippage (no free-form edits) unless user enters an 'Advanced' confirmation.
- **Strategy Config:** Provide SL/TP preview overlay per trade (entry->SL->TP) and require confirmation when dynamic SL rules would exceed max risk.
- **Broker Connections:** Include a 'Broker acceptance test' wizard that sends benign order modifications and surfaces if brokers selectively reject orderSend/orderModification.
- **Audit Logs:** Every execution event must include a correlation id that ties webhook receipt to broker response and reconciliation decision.
- **Setup Flow:** Offer an 'Alerts-only' setup mode first (no custom bot), with a guided checklist to confirm paper execution correctness at low volume before scaling.

## 6. Monetization
**Model:** subscription

### Suggested pricing tiers
**Starter** — $39/month — *Solo trader, just getting started*
- TradingView alert → execution routing for 1 connector
- Risk guardrails: daily drawdown + trade-count shutdown
- Paper/sim mode with basic fill modeling

**Pro** — $59/month — *Active trader running multiple strategies*
- Realistic fills: commission + slippage + passive-limit divergence modeling
- Auto SL/TP with dynamic rules
- Audit logs + dashboard risk metrics (MDD, risk/trade, losing streaks)
- High-volume paper/simulator performance profile

**Team/Enterprise** — $199/month — *Trading group or broker-adjacent team*
- Team seats + shared configuration + approvals
- Multi-broker connectors + auto-import pipelines
- Advanced fail-safes + bulk simulation runs (ETFs/rotations)
- Priority support + reliability SLA tooling

**Competitor pricing anchor:** {'min_usd': 1.0, 'median_usd': 50.0, 'max_usd': 200.0, 'sample_size': 5}

## 7. Competitors to beat
| Name | Why it fails | Price | Mentions |
|---|---|---|---|
| TradingView (manual charting / indicator environment) | In this chunk, TradingView is primarily described as used for charting and Pine Script indicator/automation; users still ask for support on whether paid TradingView is needed and ask for what platforms/resources for auto-trading exist (implying gaps between indicator backtesting and live execution tooling). | - | 5 |
| Auto/reset/zoom chart scale interactions (TradingView right-side scale) | Helps with readability after accidental timeframe/zoom changes; it’s not a trading bot/backtesting solution. | - | 4 |
| Paper trading workarounds: use a broker account / switch platforms (IBKR / Quantower) | These are user alternatives due to TradingView paper trading problems; no direct fix described. | - | 3 |
| Restart TradingView | Not presented as a true fix; users say it’s the only resolution and suggest restarting repeatedly until the missing data populates. | - | 3 |
| BeeTrade (no-code execution/strategy builder) | Users are evaluating it; concerns include being “locked into their ecosystem” and that debugging a visual builder can be harder if a trade goes wrong. | - | 3 |
| ChatGPT / Claude generating Pine Script from plain English | Won’t work for complex stuff; also called “surprisingly decent” only for simple logic. | - | 3 |
| CME market data package (via TradingView/broker integration) | Users report that without the appropriate package, TradingView can show delayed data (15 minutes), causing orders to fill against live prices rather than the displayed price. | - | 3 |
| IBKR (Interactive Brokers) APIs / data access | Mentioned as a source the user looked into; no direct failure is stated in this chunk beyond the user’s data sourcing question and their broader comparison of options. One comment suggests IBKR API can provide needed trading options data. | - | 2 |

## 8. Distribution
- reddit
- youtube
- x_twitter
- discord
- Top subreddits to launch in: r/Daytrading, r/CryptoCurrency, r/options, r/quant, r/StockMarket, r/TradingView, r/kpop, r/GOONED, r/deadbydaylight, r/Algo_Trading

## 9. Users & roles
**Primary persona:** TradingView alert trader (execution reliability)
**Secondary personas:**
- Non-programmer strategy validator
- Active trader running multiple strategies

**Roles:**
- **Account owner** — Creates webhook endpoints, configures broker connections, risk/SL-TP, runs sim tests, and monitors dashboards.
- **Read-only auditor** — Views audit logs, risk dashboards, and trade/reconciliation history without changing execution settings.

## 10. Data model & integrations
- (no data model extracted)

## 11. States
**Empty state:** User sees onboarding with webhook creation and “no events yet” for replay/simulation.
**Error state:** User sees the failure reason, worst-case action taken (e.g., stop/lockout), and a searchable audit log timeline.

## 12. Analytics & metrics
- (not synthesized for this report)

## 13. Risks & open questions
- (no risks/questions extracted)

## 14. Post-launch
- See https://painfinder.app/reports/tradingview-bot-automation-is-unreliable-and-hard for DM-able hot leads (workarounds × buying intent).
- See https://painfinder.app/reports/tradingview-bot-automation-is-unreliable-and-hard for verified key quotes you can use as landing copy.

## 15. Suggested build order (3-week MVP cut)
- Week 1: §3 must-haves + §5 page 1.
- Week 2: §5 remaining pages + auth/persistence if needed.
- Week 3: §6 monetization wiring + analytics + launch checklist.

## 16. Setup hints (your stack overrides these)
- `pnpm create next-app . --typescript --tailwind --app`
- `npx shadcn@latest init`
- The agent SHOULD ask the user before committing to a stack.

## 17. How to use this file
You're an AI coding agent reading this in AGENTS.md. Your job:
1. Confirm the stack with the user (their preferences override this file).
2. Scaffold an MVP covering §3 + §5 page-1 first.
3. Defer §6 (monetization) and §14 (post-launch) until §3 ships and works.
4. Re-fetch the live PRD anytime via:
   curl https://painfinder.app/api/public/reports/tradingview-bot-automation-is-unreliable-and-hard/export.json?size=compact

## 18. Verbatim key quotes (top 10)
> "If you’ve created a successful trading bot, I’d love to learn:"  
> — General research & advice, post #23160

> "If you’ve created a successful trading bot"  
> — General research & advice, post #23160

> "What’s your core strategy or edge?"  
> — General research & advice, post #23160

> "What indicators or data do you rely on most?"  
> — General research & advice, post #23160

> "How long did it take you to refine it into something consistent?"  
> — General research & advice, post #23160

> "Are you trading spot, futures, forex, or something else?"  
> — General research & advice, post #23160

> "How do you manage risk and avoid overfitting in your backtests?"  
> — Backtesting & evaluation, post #23160

> "I’m not looking to copy anyone’s system — just trying to understand what separates the bots that actually work from the ones that don’t."  
> — General research & advice, post #23160

> "Any insights, lessons learned, or even failures you can share would be hugely appreciated."  
> — General research & advice, post #23160

> "not letting it run 24/7."  
> — Alerting & trigger logic, post #23160

## 19. Manual workarounds users cobble together (top 15)
1. **Automated options flow/AI workflow for trade discovery** — *Manual whale-watching / ticker watching workflow before trying automated services.*
   > "I usually do it all manually."
2. **Robust autonomous trading bots that don’t require ongoing babysitting** — *Constantly adjusting bots due to changing market conditions.*
   > "I spent as much and sometimes even more time adjusting my bots as I do just trading myself."
3. **Reliable fully automated order execution and position sync** — *Use TradingView alerts as signals but execute orders manually via clicks.*
   > "TV alert + manual click."
4. **Troubleshooting/robustness improvements for execution flow across connected brokers** — *One commenter claims the problem was resolved by logging into the platform connected to TradingView (implying users should verify the connected execution platform).*
   > "Issue resolved and high stress situation evaded."
5. **Clear guidance/guards to prevent TradingView execution misuse or failures** — *A workaround suggestion is to use another broker/prop firm platform for execution and only use TradingView for charting.*
   > "Just my opinion."
6. **Automation/decision support for day trading workflow** — *Manual learning and discretionary chart reading (20ma/50ma/candles) as part of day trading process.*
   > "It’s definitely fun to learn how to view stock trends on TradingView, how to use 20ma and 50ma and read candlesticks."
7. **Automated market scanning / alerting** — *Manually scrolling through thousands of tickers instead of using an automated scanner (prior workflow described as the motivation for building the alert).*
   > "so I don't have to scroll through 8,000 tickers myself."
8. **Custom automation for order-flow/threshold notifications** — *Using a custom script to automate monitoring instead of sitting and staring at charts/candles all day.*
   > "My script runs in the background, processing tick data, and pings me when the volumetric pressure hits specific statistical thresholds."
9. **High-frequency options-chain data acquisition / backtest dataset automation** — *Manually/custom daily collection of full option chain 1-minute timeframe data by running a bot 24/7 to gather parquet data for backtesting.*
   > "this meant I had to collect it every day via a bot running 24/7."
10. **Reliable persistence of TradingView bot/indicator code availability when removed from the platform** — *Manually use the externally provided Google Docs code until the TradingView script is restored.*
   > "Edit2: Trading View have removed the script. So please find the code here until I’m able to get it back online: https://docs.google.com/document/d/1-72lxX1zBP3KKRPDejfo6s8Ze9eMekdKgy4G2IjokK0/edit"
11. **Platform bug/issue resolution workflow** — *User reports contacting TradingView support repeatedly due to paper trading issues.*
   > "I opened a ticket with them about this several times."
12. **Reliable paper trading execution alternative** — *Switching to Quantower for paper trading due to TradingView paper trading problems.*
   > "I switched over to quantower as its free for amp customers exactly because of this issue."
13. **Reliable broker-backed paper trading** — *Use broker-provided paper trading rather than TradingView paper trading.*
   > "maybe make a paper trading account with a broker like IBKR"
14. **Action/advocacy for fixing broken platform features** — *Treating the complaint as a feature request to push for proper functioning.*
   > "I am flaring this as a "feature request""
15. **Automated execution / behavioral lockout for manual trading** — *Developing automated MQL5 systems in order to trade using fixed stop-loss/take-profit rather than manual discretionary actions.*
   > "I’ve been sitting in my room working on my automated MQL5 systems"

## 20. "I would pay for…" quotes (top 10)
1. **would_pay** — wants: TradingView paid plan value (specifically what makes Premium/paid worthwhile).
   > "Please sell me on paying for tw.. is it the extra indicators or what makes it worth paying for?"
2. **would_pay** — wants: Lower first-month pricing for TradingView Premium. ($1.0)
   > "I would love to get first month 1$ - like offer.."
3. **wishing** — wants: A service/workflow for AI-assisted whale watching (implicitly looking to reduce manual effort).
   > "To build this, you need a few components."
4. **wishing** — wants: A copyable bot/automation setup (prompt/setup) for auto-trading options.
   > "Just give me the power to copy you. Prompt, setup, whatever, I'm in"
5. **wishing** — wants: A platform/resource to run live auto-trading options bots.
   > "Auto trading on live account? which platform? could you share any resource please?"
6. **wishing** — wants: Publicly available bot templates to use in an options bot context.
   > "I'm over on options Alpha also - are you using any publicly available posted bot templates?"
7. **wishing** — wants: information/participation in the trading bot project
   > "I’m interested in this project."
8. **wishing** — wants: buying/trying a bot the author built
   > "do you sell your bot? I'd be interested in trying it."
9. **wishing** — wants: access/link to use a bot
   > "How can I use the bot, any link please?"
10. **wishing** — wants: AI execution platform use case information (potential switching decision)
   > "I am curious if anyone else here has moved their execution away from the native TV alerts to a dedicated AI platform like BeeTrade or if you guys just stick to custom scripts?"

## 21. Hot leads summary
- 34 hot leads identified (users who BOTH built a workaround AND signaled buying intent)
- Tier breakdown: 6 hot / 6 warm / 22 cold
- DM-able usernames available at: https://painfinder.app/reports/tradingview-bot-automation-is-unreliable-and-hard#hot-leads (kept off this file for privacy — see live report)

## 22. Full competitor list (top 10)
| Name | Why it fails | Price | Mentions |
|---|---|---|---|
| TradingView (manual charting / indicator environment) | In this chunk, TradingView is primarily described as used for charting and Pine Script indicator/automation; users still ask for support on whether paid TradingView is needed and ask for what platforms/resources for auto-trading exist (implying gaps between indicator backtesting and live execution tooling). | - | 5 |
| Auto/reset/zoom chart scale interactions (TradingView right-side scale) | Helps with readability after accidental timeframe/zoom changes; it’s not a trading bot/backtesting solution. | - | 4 |
| Paper trading workarounds: use a broker account / switch platforms (IBKR / Quantower) | These are user alternatives due to TradingView paper trading problems; no direct fix described. | - | 3 |
| Restart TradingView | Not presented as a true fix; users say it’s the only resolution and suggest restarting repeatedly until the missing data populates. | - | 3 |
| BeeTrade (no-code execution/strategy builder) | Users are evaluating it; concerns include being “locked into their ecosystem” and that debugging a visual builder can be harder if a trade goes wrong. | - | 3 |
| ChatGPT / Claude generating Pine Script from plain English | Won’t work for complex stuff; also called “surprisingly decent” only for simple logic. | - | 3 |
| CME market data package (via TradingView/broker integration) | Users report that without the appropriate package, TradingView can show delayed data (15 minutes), causing orders to fill against live prices rather than the displayed price. | - | 3 |
| IBKR (Interactive Brokers) APIs / data access | Mentioned as a source the user looked into; no direct failure is stated in this chunk beyond the user’s data sourcing question and their broader comparison of options. One comment suggests IBKR API can provide needed trading options data. | - | 2 |
| TradingView paper trading (as a feature users mention) | Only described as providing results that may not translate to live trading; comments highlight psychology differences when real money is used. | - | 2 |
| Frozen EMA indicator script on TradingView (Daily Frozen EMA, Exponential) | Not described as a bot; provided as a custom indicator to keep EMA values frozen intraday. | - | 3 |

## 23. Where this conversation lives (top subreddits)
- r/Daytrading (59 posts)
- r/CryptoCurrency (52 posts)
- r/options (51 posts)
- r/quant (46 posts)
- r/StockMarket (45 posts)
- r/TradingView (39 posts)
- r/kpop (4 posts)
- r/GOONED (1 posts)
- r/deadbydaylight (1 posts)
- r/Algo_Trading (1 posts)