Long Trade on DOGS
The 23 Aug 2025 at 08:45:42
With 5034504.7698 DOGS at 0.0001489$ per unit.
Position size of 749.6378 $
Take profit at 0.0001513 (1.61 %) and Stop Loss at 0.0001473 (1.07 %)
That's a 1.5 RR TradePosition size of 749.6378 $
Take profit at 0.0001513 (1.61 %) and Stop Loss at 0.0001473 (1.07 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.81 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.73 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.8 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : neutral rules_regime : range_medium rules_regime_5m : range_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.304536 |
0 |
Indicators:
| Start at | Closed at | Duration |
|---|---|---|
| 23 Aug 2025 08:45:42 |
23 Aug 2025 10:10:00 |
1 hour |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.0001489 | 0.0001473 | 0.0001513 | 1.5 | 4.45E-5 |
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:
Calcul:
Risque (distance jusqu'au stop loss) :
SL - E = 0.0001473 - 0.0001489 = -1.6E-6
Récompense (distance jusqu'au take profit):
E - TP = 0.0001489 - 0.0001513 = -2.4E-6
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -2.4E-6 / -1.6E-6 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 749.6378 | 100 | 5034504.7698 | 7.50 |
1. Déterminer le montant risqué sur ce trade
Risk Amount = Capital x Risk per trade
Paramètres:
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:
Taille de position = 8 / -1.6E-6 = -5000000
Taille de position USD = -5000000 x 0.0001489 = -744.5
Donc, tu peux acheter -5000000 avec un stoploss a 0.0001473
Avec un position size USD de -744.5$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -5000000 x -1.6E-6 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -5000000 x -2.4E-6 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.61 % | 12.08 $ |
| SL % Target | SL $ Target |
|---|---|
| 1.07 % | 8.06 $ |
| PNL | PNL % |
|---|---|
| -8.06 $ | -1.07 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.0745 % | 100 % | 4 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.0001513
[entry_price] => 0.0001489
[stop_loss] => 0.00014714
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-08-23 10:15:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.0001513
[entry_price] => 0.0001489
[stop_loss] => 0.00014698
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-08-23 11:20:00
[result] => win
)
[1.3] => Array
(
[take_profit] => 0.0001513
[entry_price] => 0.0001489
[stop_loss] => 0.00014682
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-08-23 11:20:00
[result] => win
)
[1.5] => Array
(
[take_profit] => 0.0001513
[entry_price] => 0.0001489
[stop_loss] => 0.0001465
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-08-23 11:20:00
[result] => win
)
)
Array
(
[short_term] => Array
(
[max_gain] => 4.0000000000001E-7
[max_drawdown] => 1.9E-6
[rr_ratio] => 0.21
[high] => 0.00014930
[low] => 0.00014700
[mfe_pct] => 0.27
[mae_pct] => 1.28
[mfe_mae_ratio] => 0.21
[candles_analyzed] => 24
[start_at] => 2025-08-23T08:45:42-04:00
[end_at] => 2025-08-23T10:45:42-04:00
)
[long_term] => Array
(
[max_gain] => 2.48E-5
[max_drawdown] => 1.9E-6
[rr_ratio] => 13.05
[high] => 0.00017370
[low] => 0.00014700
[mfe_pct] => 16.66
[mae_pct] => 1.28
[mfe_mae_ratio] => 13.05
[candles_analyzed] => 84
[start_at] => 2025-08-23T08:45:42-04:00
[end_at] => 2025-08-23T15:45:42-04:00
)
[breakout] => Array
(
[high_before] => 0.00016330
[high_after] => 0.00017370
[low_before] => 0.00014850
[low_after] => 0.00014700
[is_new_high] => 1
[is_new_low] =>
)
)