TradingView Strategy Development, from Rules to Alerts
We turn your trading idea into a TradingView strategy, test it honestly in the Strategy Tester and connect it to alerts and webhooks, so you can paper trade it with confidence.
Strategy development
A strategy is only as good as its test settings
The TradingView Strategy Tester will happily report a beautiful equity curve from a strategy that fills at impossible prices, ignores commission or trades on information it could not have had.
We build strategies the other way round: realistic properties first, then the rules, then an honest review of what the results do and do not show.
- Explicit properties: capital, sizing, commission, slippage and fill timing
- Entries and exits including stops, targets, trailing exits and time exits
- Alert messages for every order, with JSON payloads for webhooks
- Robustness checks across symbols, timeframes and parameter ranges
Software, not advice: we write code to the rules you specify. We do not provide investment advice, trading signals or managed accounts, and no backtest or script can guarantee future results.
Pine Script v6 · educational example
//@version=6
strategy("Breakout with explicit tester settings (educational)", overlay = true,
initial_capital = 25000, default_qty_type = strategy.percent_of_equity,
default_qty_value = 5, commission_type = strategy.commission.percent,
commission_value = 0.05, slippage = 2)
len = input.int(20, "Breakout lookback", minval = 2)
hh = ta.highest(high, len)[1] // prior bars only: no look-ahead
ll = ta.lowest(low, len)[1]
// alert_message is sent with {{strategy.order.alert_message}}
if close > hh
strategy.entry("Long", strategy.long,
alert_message = '{"action":"buy","ticker":"' + syminfo.ticker + '"}')
if close < ll
strategy.close("Long",
alert_message = '{"action":"close","ticker":"' + syminfo.ticker + '"}')
plot(hh, "Breakout high", color.teal)
plot(ll, "Breakdown low", color.red)
Strategy lifecycle
How we take a strategy from idea to paper trading
Define the rules
Every entry, exit, filter and sizing rule written down without ambiguity.
Code the strategy
A Pine Script v6 strategy with realistic properties and clean inputs.
Validate
Strategy Tester review across symbols, periods and costs, with a written summary.
Alerts and paper trading
Order alerts and webhook messages so you can forward-test before risking capital.
What we deliver
Everything a TradingView strategy needs
Strategy script
Pine Script v6 strategy with documented rules and properties.
Realistic costs
Commission, slippage and order timing that match your market and broker.
Risk controls
Stops, targets, trailing exits, max positions and session filters.
Results summary
Net profit, drawdown, trade count and the caveats behind each number.
Parameter checks
How results change across input ranges, to spot fragile settings.
Alerts
Alerts for every order with dynamic, readable messages.
Webhook payloads
JSON messages formatted to the documented spec of the tool you choose.
Paper trading plan
A checklist for forward-testing the strategy on a paper account first.
Strategy Tester checklist
Settings we never leave on their defaults
Default Strategy Tester properties rarely match real trading. These are agreed with you for every strategy.
| Property | Why it matters | How we set it |
|---|---|---|
| Order size | Fixed contracts and percent of equity produce very different curves | Matched to how you actually size positions |
| Commission | Zero commission flatters high-frequency strategies | Set to your broker's fee structure |
| Slippage | Market orders rarely fill at the exact bar price | Ticks of slippage appropriate to the instrument |
| Fill timing | Filling on the signal bar's close can be unrealistic | Next-bar fills unless you trade at the close |
| Pyramiding | Unintended stacking of entries inflates returns | Explicit maximum number of entries |
| Date range | Results from one regime may not generalise | Several periods, including weak markets |
TradingView strategy FAQs
Send a project briefQuestions about TradingView strategies
Testing, alerts, automation and what results really mean.
TradingView itself does not place orders from a strategy, but its alerts can send webhooks. We can build the bridge that receives them and places checked orders through your broker's API, for example Interactive Brokers or other brokers. You approve go-live and remain responsible for your broker's and regulator's rules.
Fills, spreads, latency, data differences and changing market conditions all play a part. We minimise avoidable gaps with realistic settings and no look-ahead, and we recommend paper trading before any live use.
We can test parameter ranges and show how sensitive results are. We avoid presenting a single over-fitted 'best' setting, because it rarely holds up out of sample.
Yes. A Python version lets you run deeper tests such as walk-forward analysis. See our Python algo development service.
No, and you should be wary of anyone who says they can. We implement and test the rules you give us and report the results honestly, including costs, slippage and drawdowns. Backtests are hypothetical and do not predict future performance.
Each project is quoted after we review your brief and agree a written specification. Price depends on the number of rules, timeframes, markets, alerts and revisions involved. We do not publish a fixed price list yet.
Yes. You receive the full, commented source code. Ownership, licensing and confidentiality terms are agreed in writing before work starts.
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TradingView strategies
Turn your idea into a tested TradingView strategy
Share your entry, exit and risk rules. We will ask the questions that make them testable and send a written quote.