Short Trade on DOGE
The 29 Mar 2025 at 19:59:59
With 12520.3848 DOGE at 0.1693$ per unit.
Position size of 2119.5759 $
Take profit at 0.1683 (0.59 %) and Stop Loss at 0.1699 (0.35 %)
That's a 1.67 RR TradeTrade
sell - DOGE
Status
loss
2025-03-29 19:59:59
5 minutes
PNL
-0.35
Entry: 0.1693
Last: 0.16990000
Results
Status:
loss
Trade Type:
sell
Prediction Score:
| Prediction 1 | Accuracy |
|---|---|
|
|
n/a |
| Prediction 2 | Accuracy |
|---|---|
| n/a |
ML Trade Score: -100
ML Pullback Score: 0.8
Signal
CatchTheWave Signal - sell
Indicators:
- long_trend: -1
- short_kc: True
- short_kc_percentage: 0.03
- atr: 0.000425972
Details
- score: 1.03
- long_trend_details
- ema9 - 0.168919
- ema21 - 0.17173
- ema50 - 0.177465
- ema9_ema21_diff - -1.63698
- ema21_ema50_diff - -3.23168
- ema9_ema50_diff - -4.81576
- price_ema21_diff - -1.42109
- all_emas_in_trend - True
- all_emas_and_price_in_trend - False ¸
📌 Time Data
| Start at | Closed at | Duration |
|---|---|---|
| 29 Mar 2025 19:59:59 |
29 Mar 2025 20:05:00 |
5 minutes |
📌 Entry & Exit
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.1693 | 0.1699 | 0.1683 | 1.67 | 0.2558 |
Details
Click the "Sign Up" button in the top right corner and follow the registration process.
Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :
RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss
Détails du trade:
- Entry 0.1693
- Stop Loss: 0.1699
- Take Profit: 0.1683
Calcul:
-
Risque (distance jusqu'au stop loss) :
SL - E = 0.1699 - 0.1693 = 0.00059999999999999
-
Récompense (distance jusqu'au take profit):
E - TP = 0.1693 - 0.1683 = 0.001
-
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.001 / 0.00059999999999999 = 1.6667
📌 Position Size
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 2119.5759 | 2119.5759 | 12520.3848 | 21.20 |
Details
1. Déterminer le montant risqué sur ce trade
Risk Amount = Capital x Risk per trade
Paramètres:
- Account Size 100
- Risk per trade 8 %
Risk Amount = 100 x 0.08 = 8
Donc, tu es prêt à perdre 8$ maximum sur ce trade
2. Calcul Risk per Share / Nombre d'unité à acheter
Taille de position = Risk Amount / Distance Stop Loss
Taille de position USD = Taille de position x Entry Price
Paramètres:
- Risk Amount 8
- Distance Stop Loss 0.00059999999999999
Taille de position = 8 / 0.00059999999999999 = 13333.33
Taille de position USD = 13333.33 x 0.1693 = 2257.33
Donc, tu peux acheter 13333.33 avec un stoploss a 0.1699
Avec un position size USD de 2257.33$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 13333.33 x 0.00059999999999999 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 13333.33 x 0.001 = 13.33
Si Take Profit atteint, tu gagneras 13.33$
Résumé
- Taille de position 13333.33
- Taille de position USD 2257.33
- Perte potentielle 8
- Gain potentiel 13.33
- Risk-Reward Ratio 1.6667
📌 Peformances
| TP % Target | TP $ Target |
|---|---|
| 0.59 % | 12.52 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.35 % | 7.51 $ |
| PNL | PNL % |
|---|---|
| -7.51 $ | -0.35 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.37212049616066 % | 0 % | 0 |
📌 ML Extra Data
Extra TP Data
Array
(
)
Extra SL data
Array
(
[1.1] => Array
(
[take_profit] => 0.1683
[entry_price] => 0.1693
[stop_loss] => 0.16996
[rr_ratio] => 1.52
[sl_change_percentage] => 1.1
[closed_at] => 2025-03-29 20:10:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.1683
[entry_price] => 0.1693
[stop_loss] => 0.17002
[rr_ratio] => 1.39
[sl_change_percentage] => 1.2
[closed_at] => 2025-03-29 20:10:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.1683
[entry_price] => 0.1693
[stop_loss] => 0.17008
[rr_ratio] => 1.28
[sl_change_percentage] => 1.3
[closed_at] => 2025-03-29 20:10:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.1683
[entry_price] => 0.1693
[stop_loss] => 0.1702
[rr_ratio] => 1.11
[sl_change_percentage] => 1.5
[closed_at] => 2025-03-29 20:15:00
[result] => loss
)
)
Extra Pullback data
Array
(
[short_term] => Array
(
[max_gain] => 0.00149
[max_drawdown] => 0.00236
[rr_ratio] => 0.63
[high] => 0.17166000
[low] => 0.16781000
[mfe_pct] => 0.88
[mae_pct] => 1.39
[mfe_mae_ratio] => 0.63
[candles_analyzed] => 24
[start_at] => 2025-03-29T19:59:59-04:00
[end_at] => 2025-03-29T21:59:59-04:00
)
[long_term] => Array
(
[max_gain] => 0.00149
[max_drawdown] => 0.00303
[rr_ratio] => 0.49
[high] => 0.17233000
[low] => 0.16781000
[mfe_pct] => 0.88
[mae_pct] => 1.79
[mfe_mae_ratio] => 0.49
[candles_analyzed] => 72
[start_at] => 2025-03-29T19:59:59-04:00
[end_at] => 2025-03-30T01:59:59-04:00
)
[breakout] => Array
(
[high_before] => 0.16976000
[high_after] => 0.17233000
[low_before] => 0.16692000
[low_after] => 0.16781000
[is_new_high] =>
[is_new_low] =>
)
)