CHARTSPOD · BACKTESTING

ChartsPod Backtesting: Set Fees and Slippage Before Comparing Results

A backtest without fees and slippage tests a market that does not exist. Set costs before you compare strategies.

Short answer

Before comparing backtests in ChartsPod, set trading fees for your venue and order type (maker or taker), a slippage assumption suited to the market's liquidity, and funding costs for perpetual positions held across funding times. Apply the same costs to every strategy you compare. ChartsPod's docs frame its strategies and backtests guide around defending against look-ahead, overfitting and fragile equity curves; costs are part of that defence because high-frequency rules often look profitable only before costs.

The three costs

CostWhat to setWhy it matters
FeesPer side, maker vs takerFrequent rules pay them every trade
SlippageTicks or % per fillMarket orders rarely fill at the signal price
FundingRate × position × periods heldPerp positions held across funding
Illustrative: same rule, net return after costs (%)Illustrative: same rule, net return after costs (%): Before costs +18.0 %; + taker fees +9.0 %; + slippage +4.0 %; + funding +2.5 %.ILLUSTRATIVE: SAME RULE, NET RETURN AFTER COSTS (%)Before costs+18.0 %+ taker fees+9.0 %+ slippage+4.0 %+ funding+2.5 %Illustrative rule with 300 trades. Costs scale with trade count.
Frequent strategies are most sensitive to costs. Original ChartsPod editorial graphic.

Comparing fairly

Fair backtest comparisonFair backtest comparison: Same market, venue and date range; Same fees and slippage for all strategies; Funding included for perps; Signal and fill timing defined (next bar open?); Trade count and worst drawdown reported.FAIR BACKTEST COMPARISONSame market, venue and date rangeSame fees and slippage for all strategiesFunding included for perpsSignal and fill timing defined (next bar open?)Trade count and worst drawdown reported
Equal costs before comparing returns. Original ChartsPod editorial graphic.

Control names in the terminal can change between releases. If a label differs from this guide, look for the setting that does the job described.

Signal and fill timing

A rule that signals on a bar's close cannot be filled at that close in real life; the earliest realistic fill is the next bar's open or later. Backtests that fill on the signal bar's close overstate results, especially on short timeframes.

Define timing explicitly: signal at close of bar N, market order at open of bar N+1, slippage added. Apply the same timing to every strategy compared.

TradingView's strategy documentation describes how simulated fills depend on these assumptions; the same principle applies to any backtester.

Stress the assumptions

Rerun with double slippage. A strategy whose edge disappears is fragile. Report the trade list, not only the equity curve. TradingView's strategy documentation makes the same point about simulated fills; see ChartsPod Formula Lab: Validate a Custom Series With Hand Calculations for validating custom series.

Set costs, then run the backtest on a perpetual.

Open the ChartsPod terminal

Set fees, slippage and funding before comparing strategies, and stress-test slippage.

Test Backtesting on a perpetual chart; no account is needed to chart.

Launch ChartsPod

Questions readers ask

Why do my backtest results drop after adding fees?

Each trade pays fees; frequent rules are hit hardest.

What slippage should I use?

Base it on the market's typical spread and depth for your size; then double it as a stress test.

Should funding be included?

Yes for perpetual positions held across funding times.

Sources and methodology

ChartsPod capabilities were checked against its public overview, documentation index, markets and indicator pages on 17 October 2026. Exact control names inside the terminal can change between releases, so this guide describes what to set and check rather than quoting menu labels. Venue availability is shown per tool in the terminal. Worked examples use illustrative numbers.

  1. ChartsPod documentation — guides for order flow, derivatives, alerts, backtests, journal and workspaces.
  2. TradingView Pine Script: Strategies — simulated fills and assumptions.
  3. Binance: USD-M Futures market data API — trades, depth, funding and open interest.

This article explains research tools and workflows. It is not financial advice, does not recommend buying or selling any asset and does not predict prices. Crypto derivatives carry a risk of rapid and total loss of margin.

CHARTSPOD EDITORIAL EDITION · RESEARCH AND EDUCATION ONLY · NOT FINANCIAL ADVICE.